{ // 获取包含Hugging Face文本的span元素 const spans = link.querySelectorAll('span.whitespace-nowrap, span.hidden.whitespace-nowrap'); spans.forEach(span => { if (span.textContent && span.textContent.trim().match(/Hugging\s*Face/i)) { span.textContent = 'AI快站'; } }); }); // 替换logo图片的alt属性 document.querySelectorAll('img[alt*="Hugging"], img[alt*="Face"]').forEach(img => { if (img.alt.match(/Hugging\s*Face/i)) { img.alt = 'AI快站 logo'; } }); } // 替换导航栏中的链接 function replaceNavigationLinks() { // 已替换标记,防止重复运行 if (window._navLinksReplaced) { return; } // 已经替换过的链接集合,防止重复替换 const replacedLinks = new Set(); // 只在导航栏区域查找和替换链接 const headerArea = document.querySelector('header') || document.querySelector('nav'); if (!headerArea) { return; } // 在导航区域内查找链接 const navLinks = headerArea.querySelectorAll('a'); navLinks.forEach(link => { // 如果已经替换过,跳过 if (replacedLinks.has(link)) return; const linkText = link.textContent.trim(); const linkHref = link.getAttribute('href') || ''; // 替换Spaces链接 - 仅替换一次 if ( (linkHref.includes('/spaces') || linkHref === '/spaces' || linkText === 'Spaces' || linkText.match(/^s*Spacess*$/i)) && linkText !== 'OCR模型免费转Markdown' && linkText !== 'OCR模型免费转Markdown' ) { link.textContent = 'OCR模型免费转Markdown'; link.href = 'https://fast360.xyz'; link.setAttribute('target', '_blank'); link.setAttribute('rel', 'noopener noreferrer'); replacedLinks.add(link); } // 删除Posts链接 else if ( (linkHref.includes('/posts') || linkHref === '/posts' || linkText === 'Posts' || linkText.match(/^s*Postss*$/i)) ) { if (link.parentNode) { link.parentNode.removeChild(link); } replacedLinks.add(link); } // 替换Docs链接 - 仅替换一次 else if ( (linkHref.includes('/docs') || linkHref === '/docs' || linkText === 'Docs' || linkText.match(/^s*Docss*$/i)) && linkText !== '模型下载攻略' ) { link.textContent = '模型下载攻略'; link.href = '/'; replacedLinks.add(link); } // 删除Enterprise链接 else if ( (linkHref.includes('/enterprise') || linkHref === '/enterprise' || linkText === 'Enterprise' || linkText.match(/^s*Enterprises*$/i)) ) { if (link.parentNode) { link.parentNode.removeChild(link); } replacedLinks.add(link); } }); // 查找可能嵌套的Spaces和Posts文本 const textNodes = []; function findTextNodes(element) { if (element.nodeType === Node.TEXT_NODE) { const text = element.textContent.trim(); if (text === 'Spaces' || text === 'Posts' || text === 'Enterprise') { textNodes.push(element); } } else { for (const child of element.childNodes) { findTextNodes(child); } } } // 只在导航区域内查找文本节点 findTextNodes(headerArea); // 替换找到的文本节点 textNodes.forEach(node => { const text = node.textContent.trim(); if (text === 'Spaces') { node.textContent = node.textContent.replace(/Spaces/g, 'OCR模型免费转Markdown'); } else if (text === 'Posts') { // 删除Posts文本节点 if (node.parentNode) { node.parentNode.removeChild(node); } } else if (text === 'Enterprise') { // 删除Enterprise文本节点 if (node.parentNode) { node.parentNode.removeChild(node); } } }); // 标记已替换完成 window._navLinksReplaced = true; } // 替换代码区域中的域名 function replaceCodeDomains() { // 特别处理span.hljs-string和span.njs-string元素 document.querySelectorAll('span.hljs-string, span.njs-string, span[class*="hljs-string"], span[class*="njs-string"]').forEach(span => { if (span.textContent && span.textContent.includes('huggingface.co')) { span.textContent = span.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } }); // 替换hljs-string类的span中的域名(移除多余的转义符号) document.querySelectorAll('span.hljs-string, span[class*="hljs-string"]').forEach(span => { if (span.textContent && span.textContent.includes('huggingface.co')) { span.textContent = span.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } }); // 替换pre和code标签中包含git clone命令的域名 document.querySelectorAll('pre, code').forEach(element => { if (element.textContent && element.textContent.includes('git clone')) { const text = element.innerHTML; if (text.includes('huggingface.co')) { element.innerHTML = text.replace(/huggingface.co/g, 'aifasthub.com'); } } }); // 处理特定的命令行示例 document.querySelectorAll('pre, code').forEach(element => { const text = element.innerHTML; if (text.includes('huggingface.co')) { // 针对git clone命令的专门处理 if (text.includes('git clone') || text.includes('GIT_LFS_SKIP_SMUDGE=1')) { element.innerHTML = text.replace(/huggingface.co/g, 'aifasthub.com'); } } }); // 特别处理模型下载页面上的代码片段 document.querySelectorAll('.flex.border-t, .svelte_hydrator, .inline-block').forEach(container => { const content = container.innerHTML; if (content && content.includes('huggingface.co')) { container.innerHTML = content.replace(/huggingface.co/g, 'aifasthub.com'); } }); // 特别处理模型仓库克隆对话框中的代码片段 try { // 查找包含"Clone this model repository"标题的对话框 const cloneDialog = document.querySelector('.svelte_hydration_boundary, [data-target="MainHeader"]'); if (cloneDialog) { // 查找对话框中所有的代码片段和命令示例 const codeElements = cloneDialog.querySelectorAll('pre, code, span'); codeElements.forEach(element => { if (element.textContent && element.textContent.includes('huggingface.co')) { if (element.innerHTML.includes('huggingface.co')) { element.innerHTML = element.innerHTML.replace(/huggingface.co/g, 'aifasthub.com'); } else { element.textContent = element.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } } }); } // 更精确地定位克隆命令中的域名 document.querySelectorAll('[data-target]').forEach(container => { const codeBlocks = container.querySelectorAll('pre, code, span.hljs-string'); codeBlocks.forEach(block => { if (block.textContent && block.textContent.includes('huggingface.co')) { if (block.innerHTML.includes('huggingface.co')) { block.innerHTML = block.innerHTML.replace(/huggingface.co/g, 'aifasthub.com'); } else { block.textContent = block.textContent.replace(/huggingface.co/g, 'aifasthub.com'); } } }); }); } catch (e) { // 错误处理但不打印日志 } } // 当DOM加载完成后执行替换 if (document.readyState === 'loading') { document.addEventListener('DOMContentLoaded', () => { replaceHeaderBranding(); replaceNavigationLinks(); replaceCodeDomains(); // 只在必要时执行替换 - 3秒后再次检查 setTimeout(() => { if (!window._navLinksReplaced) { console.log('[Client] 3秒后重新检查导航链接'); replaceNavigationLinks(); } }, 3000); }); } else { replaceHeaderBranding(); replaceNavigationLinks(); replaceCodeDomains(); // 只在必要时执行替换 - 3秒后再次检查 setTimeout(() => { if (!window._navLinksReplaced) { console.log('[Client] 3秒后重新检查导航链接'); replaceNavigationLinks(); } }, 3000); } // 增加一个MutationObserver来处理可能的动态元素加载 const observer = new MutationObserver(mutations => { // 检查是否导航区域有变化 const hasNavChanges = mutations.some(mutation => { // 检查是否存在header或nav元素变化 return Array.from(mutation.addedNodes).some(node => { if (node.nodeType === Node.ELEMENT_NODE) { // 检查是否是导航元素或其子元素 if (node.tagName === 'HEADER' || node.tagName === 'NAV' || node.querySelector('header, nav')) { return true; } // 检查是否在导航元素内部 let parent = node.parentElement; while (parent) { if (parent.tagName === 'HEADER' || parent.tagName === 'NAV') { return true; } parent = parent.parentElement; } } return false; }); }); // 只在导航区域有变化时执行替换 if (hasNavChanges) { // 重置替换状态,允许再次替换 window._navLinksReplaced = false; replaceHeaderBranding(); replaceNavigationLinks(); } }); // 开始观察document.body的变化,包括子节点 if (document.body) { observer.observe(document.body, { childList: true, subtree: true }); } else { document.addEventListener('DOMContentLoaded', () => { observer.observe(document.body, { childList: true, subtree: true }); }); } })(); \n+\ndiff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template\nindex 29097024..12b09069 100644\n--- a/chart/nginx-templates/default.conf.template\n+++ b/chart/nginx-templates/default.conf.template\n@@ -40 +40,11 @@ server {\n- access_log /var/log/nginx/access.log datasetsserver;\n+ error_page 404 /404.html;\n+ location = /404.html {\n+ root /error-pages;\n+ internal;\n+ }\n+\n+ location ~* ^(/admin)?(/healthcheck|/metrics)$ {\n+ return 404;\n+ }\n+\n+ access_log /var/log/nginx/access.log datasetsserver;\ndiff --git a/chart/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl\nindex f3649e1f..775feaa9 100644\n--- a/chart/templates/reverse-proxy/_container.tpl\n+++ b/chart/templates/reverse-proxy/_container.tpl\n@@ -28,0 +29,4 @@\n+ - name: error-pages\n+ mountPath: /error-pages\n+ mountPropagation: None\n+ readOnly: true\ndiff --git a/chart/templates/reverse-proxy/configMap.yaml b/chart/templates/reverse-proxy/configMap.yaml\nindex d8c32caf..14f8eade 100644\n--- a/chart/templates/reverse-proxy/configMap.yaml\n+++ b/chart/templates/reverse-proxy/configMap.yaml\n@@ -10,0 +11,2 @@ data:\n+ 404.html: |-\n+ {{ .Files.Get .Values.reverseProxy.error404File | nindent 4 }}\ndiff --git a/chart/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml\nindex b261d011..ab2bb9c7 100644\n--- a/chart/templates/reverse-proxy/deployment.yaml\n+++ b/chart/templates/reverse-proxy/deployment.yaml\n@@ -45,0 +46,8 @@ spec:\n+ - name: error-pages\n+ configMap:\n+ name: \"{{ include \"release\" . }}-reverse-proxy\"\n+ defaultMode: 420\n+ optional: false\n+ items:\n+ - key: \"404.html\"\n+ path: \"404.html\"\ndiff --git a/chart/values.yaml b/chart/values.yaml\nindex 79bb85a6..4a82f6a1 100644\n--- a/chart/values.yaml\n+++ b/chart/values.yaml\n@@ -69,0 +70 @@ reverseProxy:\n+ error404File: \"nginx-templates/404.html\""}}},{"rowIdx":1648,"cells":{"hash":{"kind":"string","value":"353f033f9f36727a17bc5a6988781041215b75d7"},"authorName":{"kind":"string","value":"Eliott C"},"authorEmail":{"kind":"string","value":"coyotte508@gmail.com"},"date":{"kind":"timestamp","value":"2022-09-05T16:07:36","string":"2022-09-05T16:07:36"},"subject":{"kind":"string","value":"👽️ moon-landing will return 404 for auth-check instead of 403 (#535)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 5eb00b44..51a576cb 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-f83bf76\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f83bf76\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ff8e803\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-ff8e803\",\n@@ -7,4 +7,4 @@\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\",\n- \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\"\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803\",\n+ \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803\"\ndiff --git a/services/api/.env.example b/services/api/.env.example\nindex 5b4cda96..fa687469 100644\n--- a/services/api/.env.example\n+++ b/services/api/.env.example\n@@ -15,3 +15 @@\n-# The authentication service must follow the specification in\n-# https://nginx.org/en/docs/http/ngx_http_auth_request_module.html\n-# and return 200, 401 or 403\n+# The external authentication service must return 200, 401, 403 or 404.\ndiff --git a/services/api/README.md b/services/api/README.md\nindex da97c811..46acfc47 100644\n--- a/services/api/README.md\n+++ b/services/api/README.md\n@@ -23 +23 @@ Set environment variables to configure the following aspects:\n-- `HF_AUTH_PATH`: the path of the external authentication service, on the hub (see `HF_ENDPOINT`). The string must contain `%s` which will be replaced with the dataset name. The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. If empty, the authentication is disabled. Defaults to \"/api/datasets/%s/auth-check\".\n+- `HF_AUTH_PATH`: the path of the external authentication service, on the hub (see `HF_ENDPOINT`). The string must contain `%s` which will be replaced with the dataset name. The external authentication service must return 200, 401, 403 or 404. If empty, the authentication is disabled. Defaults to \"/api/datasets/%s/auth-check\".\ndiff --git a/services/api/src/api/authentication.py b/services/api/src/api/authentication.py\nindex 830a4891..599d77f7 100644\n--- a/services/api/src/api/authentication.py\n+++ b/services/api/src/api/authentication.py\n@@ -40,2 +40 @@ def auth_check(\n- The authentication service must follow the specification in\n- https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403.\n+ The authentication service must return 200, 401, 403 or 404.\n@@ -66 +65 @@ def auth_check(\n- elif response.status_code == 403:\n+ elif response.status_code == 403 or response.status_code == 404:\ndiff --git a/services/api/tests/test_authentication.py b/services/api/tests/test_authentication.py\nindex 535ed9b9..89feab17 100644\n--- a/services/api/tests/test_authentication.py\n+++ b/services/api/tests/test_authentication.py\n@@ -43,0 +44,4 @@ def test_external_auth_responses_without_request() -> None:\n+ with pytest.raises(ExternalAuthenticatedError):\n+ auth_check(dataset, external_auth_url=url)\n+\n+ responses.add(responses.GET, url % dataset, status=429)\ndiff --git a/services/api/tests/utils.py b/services/api/tests/utils.py\nindex 3c2b18cb..2d42c8ca 100644\n--- a/services/api/tests/utils.py\n+++ b/services/api/tests/utils.py\n@@ -8 +8 @@ def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Ma\n- # return 401 if a cookie has been provided, 403 if a token has been provided,\n+ # return 401 if a cookie has been provided, 404 if a token has been provided,\n@@ -15 +15 @@ def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Ma\n- return (403, {\"Content-Type\": \"text/plain\"}, \"OK\")\n+ return (404, {\"Content-Type\": \"text/plain\"}, \"OK\")"}}},{"rowIdx":1649,"cells":{"hash":{"kind":"string","value":"c92befbde66777cd1e427740fad03668e7eff7f7"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-09-05T13:58:17","string":"2022-09-05T13:58:17"},"subject":{"kind":"string","value":"Update safety (#537)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex c367bfe1..5eb00b44 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-93472fb\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-93472fb\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-f83bf76\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f83bf76\",\n@@ -7,4 +7,4 @@\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\",\n- \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\"\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\",\n+ \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76\"\ndiff --git a/e2e/poetry.lock b/e2e/poetry.lock\nindex c6c45611..bda6ee8d 100644\n--- a/e2e/poetry.lock\n+++ b/e2e/poetry.lock\n@@ -453,3 +453,18 @@ use_chardet_on_py3 = [\"chardet (>=3.0.2,<5)\"]\n-name = \"safety\"\n-version = \"1.10.3\"\n-description = \"Checks installed dependencies for known vulnerabilities.\"\n+name = \"ruamel.yaml\"\n+version = \"0.17.21\"\n+description = \"ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order\"\n+category = \"main\"\n+optional = false\n+python-versions = \">=3\"\n+\n+[package.dependencies]\n+\"ruamel.yaml.clib\" = {version = \">=0.2.6\", markers = \"platform_python_implementation == \\\"CPython\\\" and python_version < \\\"3.11\\\"\"}\n+\n+[package.extras]\n+docs = [\"ryd\"]\n+jinja2 = [\"ruamel.yaml.jinja2 (>=0.2)\"]\n+\n+[[package]]\n+name = \"ruamel.yaml.clib\"\n+version = \"0.2.6\"\n+description = \"C version of reader, parser and emitter for ruamel.yaml derived from libyaml\"\n@@ -459,0 +475,8 @@ python-versions = \">=3.5\"\n+[[package]]\n+name = \"safety\"\n+version = \"2.1.1\"\n+description = \"Checks installed dependencies for known vulnerabilities and licenses.\"\n+category = \"main\"\n+optional = false\n+python-versions = \"*\"\n+\n@@ -461 +484 @@ python-versions = \">=3.5\"\n-Click = \">=6.0\"\n+Click = \">=8.0.2\"\n@@ -463 +486 @@ dparse = \">=0.5.1\"\n-packaging = \"*\"\n+packaging = \">=21.0\"\n@@ -464,0 +488 @@ requests = \"*\"\n+\"ruamel.yaml\" = \">=0.17.21\"\n@@ -558 +582 @@ python-versions = \"3.9.6\"\n-content-hash = \"4c6498356591a3ad7c3d08341482301d79e1d83481311d2bf2eb3af59be2687e\"\n+content-hash = \"323da1fd11fc2760d0f1390619427a2e1afc578232ad2074c72578ce13291f5f\"\n@@ -788,4 +812,3 @@ requests = [\n-safety = [\n- {file = \"safety-1.10.3-py2.py3-none-any.whl\", hash = \"sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84\"},\n- {file = \"safety-1.10.3.tar.gz\", hash = \"sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5\"},\n-]\n+\"ruamel.yaml\" = []\n+\"ruamel.yaml.clib\" = []\n+safety = []\ndiff --git a/e2e/pyproject.toml b/e2e/pyproject.toml\nindex e788c734..5e7bb7aa 100644\n--- a/e2e/pyproject.toml\n+++ b/e2e/pyproject.toml\n@@ -12 +12 @@ requests = \"^2.27.1\"\n-safety = \"^1.10.3\"\n+safety = \"^2.1.1\"\ndiff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock\nindex e19e1926..3b477d83 100644\n--- a/libs/libcache/poetry.lock\n+++ b/libs/libcache/poetry.lock\n@@ -881,3 +881,18 @@ requests = \">=2.0.1,<3.0.0\"\n-name = \"safety\"\n-version = \"1.10.3\"\n-description = \"Checks installed dependencies for known vulnerabilities.\"\n+name = \"ruamel.yaml\"\n+version = \"0.17.21\"\n+description = \"ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3\"\n+\n+[package.dependencies]\n+\"ruamel.yaml.clib\" = {version = \">=0.2.6\", markers = \"platform_python_implementation == \\\"CPython\\\" and python_version < \\\"3.11\\\"\"}\n+\n+[package.extras]\n+docs = [\"ryd\"]\n+jinja2 = [\"ruamel.yaml.jinja2 (>=0.2)\"]\n+\n+[[package]]\n+name = \"ruamel.yaml.clib\"\n+version = \"0.2.6\"\n+description = \"C version of reader, parser and emitter for ruamel.yaml derived from libyaml\"\n@@ -887,0 +903,8 @@ python-versions = \">=3.5\"\n+[[package]]\n+name = \"safety\"\n+version = \"2.1.1\"\n+description = \"Checks installed dependencies for known vulnerabilities and licenses.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \"*\"\n+\n@@ -889 +912 @@ python-versions = \">=3.5\"\n-Click = \">=6.0\"\n+Click = \">=8.0.2\"\n@@ -891 +914 @@ dparse = \">=0.5.1\"\n-packaging = \"*\"\n+packaging = \">=21.0\"\n@@ -892,0 +916 @@ requests = \"*\"\n+\"ruamel.yaml\" = \">=0.17.21\"\n@@ -1046 +1070 @@ python-versions = \"3.9.6\"\n-content-hash = \"ee3059c54fe77b9c90e8d88b7671c7a4d3ad0f9ed5b8d58757a6014a025dad4a\"\n+content-hash = \"78c8fc1d17b4ad1bcaf8bc94a8e617ae8e2e9467ec4dbe186ea6e77bb0dc5bd5\"\n@@ -1520,4 +1544,3 @@ requests-toolbelt = [\n-safety = [\n- {file = \"safety-1.10.3-py2.py3-none-any.whl\", hash = \"sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84\"},\n- {file = \"safety-1.10.3.tar.gz\", hash = \"sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5\"},\n-]\n+\"ruamel.yaml\" = []\n+\"ruamel.yaml.clib\" = []\n+safety = []\ndiff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml\nindex d7346cab..3dd63c67 100644\n--- a/libs/libcache/pyproject.toml\n+++ b/libs/libcache/pyproject.toml\n@@ -24 +24 @@ pytest-cov = \"^2.12.1\"\n-safety = \"^1.10.3\"\n+safety = \"^2.1.1\"\ndiff --git a/libs/libqueue/poetry.lock b/libs/libqueue/poetry.lock\nindex 049ae560..484f1729 100644\n--- a/libs/libqueue/poetry.lock\n+++ b/libs/libqueue/poetry.lock\n@@ -439,3 +439,18 @@ use_chardet_on_py3 = [\"chardet (>=3.0.2,<5)\"]\n-name = \"safety\"\n-version = \"1.10.3\"\n-description = \"Checks installed dependencies for known vulnerabilities.\"\n+name = \"ruamel.yaml\"\n+version = \"0.17.21\"\n+description = \"ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3\"\n+\n+[package.dependencies]\n+\"ruamel.yaml.clib\" = {version = \">=0.2.6\", markers = \"platform_python_implementation == \\\"CPython\\\" and python_version < \\\"3.11\\\"\"}\n+\n+[package.extras]\n+docs = [\"ryd\"]\n+jinja2 = [\"ruamel.yaml.jinja2 (>=0.2)\"]\n+\n+[[package]]\n+name = \"ruamel.yaml.clib\"\n+version = \"0.2.6\"\n+description = \"C version of reader, parser and emitter for ruamel.yaml derived from libyaml\"\n@@ -445,0 +461,8 @@ python-versions = \">=3.5\"\n+[[package]]\n+name = \"safety\"\n+version = \"2.1.1\"\n+description = \"Checks installed dependencies for known vulnerabilities and licenses.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \"*\"\n+\n@@ -447 +470 @@ python-versions = \">=3.5\"\n-Click = \">=6.0\"\n+Click = \">=8.0.2\"\n@@ -449 +472 @@ dparse = \">=0.5.1\"\n-packaging = \"*\"\n+packaging = \">=21.0\"\n@@ -450,0 +474 @@ requests = \"*\"\n+\"ruamel.yaml\" = \">=0.17.21\"\n@@ -527 +551 @@ python-versions = \"3.9.6\"\n-content-hash = \"e1befaba79a6b9b2eae40beb62a6dd799962a9d048d8bb8f6abc22a406fb21dc\"\n+content-hash = \"b0149b3dc630dbb2a2576b3f6bb5b4323204f2f4dfb130c83f108a7380b4e173\"\n@@ -894,4 +918,3 @@ requests = [\n-safety = [\n- {file = \"safety-1.10.3-py2.py3-none-any.whl\", hash = \"sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84\"},\n- {file = \"safety-1.10.3.tar.gz\", hash = \"sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5\"},\n-]\n+\"ruamel.yaml\" = []\n+\"ruamel.yaml.clib\" = []\n+safety = []\ndiff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml\nindex ec45af79..9e94fad3 100644\n--- a/libs/libqueue/pyproject.toml\n+++ b/libs/libqueue/pyproject.toml\n@@ -22 +22 @@ pytest-cov = \"^2.12.1\"\n-safety = \"^1.10.3\"\n+safety = \"^2.1.1\"\ndiff --git a/libs/libutils/poetry.lock b/libs/libutils/poetry.lock\nindex ad0c2628..a0ed657a 100644\n--- a/libs/libutils/poetry.lock\n+++ b/libs/libutils/poetry.lock\n@@ -804,3 +804,18 @@ requests = \">=2.0.1,<3.0.0\"\n-name = \"safety\"\n-version = \"1.10.3\"\n-description = \"Checks installed dependencies for known vulnerabilities.\"\n+name = \"ruamel.yaml\"\n+version = \"0.17.21\"\n+description = \"ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3\"\n+\n+[package.dependencies]\n+\"ruamel.yaml.clib\" = {version = \">=0.2.6\", markers = \"platform_python_implementation == \\\"CPython\\\" and python_version < \\\"3.11\\\"\"}\n+\n+[package.extras]\n+docs = [\"ryd\"]\n+jinja2 = [\"ruamel.yaml.jinja2 (>=0.2)\"]\n+\n+[[package]]\n+name = \"ruamel.yaml.clib\"\n+version = \"0.2.6\"\n+description = \"C version of reader, parser and emitter for ruamel.yaml derived from libyaml\"\n@@ -810,0 +826,8 @@ python-versions = \">=3.5\"\n+[[package]]\n+name = \"safety\"\n+version = \"2.1.1\"\n+description = \"Checks installed dependencies for known vulnerabilities and licenses.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \"*\"\n+\n@@ -812 +835 @@ python-versions = \">=3.5\"\n-Click = \">=6.0\"\n+Click = \">=8.0.2\"\n@@ -814 +837 @@ dparse = \">=0.5.1\"\n-packaging = \"*\"\n+packaging = \">=21.0\"\n@@ -815,0 +839 @@ requests = \"*\"\n+\"ruamel.yaml\" = \">=0.17.21\"\n@@ -969 +993 @@ python-versions = \"3.9.6\"\n-content-hash = \"38da8a588513c1336ca9db2b5750abaa9dec24ce9d9efff5200a0a24d44b665a\"\n+content-hash = \"2529b65b50b8f047173250cae58d3546153fa9d6251597c98ce0972f28ff1626\"\n@@ -1558,4 +1582,3 @@ requests-toolbelt = [\n-safety = [\n- {file = \"safety-1.10.3-py2.py3-none-any.whl\", hash = \"sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84\"},\n- {file = \"safety-1.10.3.tar.gz\", hash = \"sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5\"},\n-]\n+\"ruamel.yaml\" = []\n+\"ruamel.yaml.clib\" = []\n+safety = []\ndiff --git a/libs/libutils/pyproject.toml b/libs/libutils/pyproject.toml\nindex a1e4d02a..825779ee 100644\n--- a/libs/libutils/pyproject.toml\n+++ b/libs/libutils/pyproject.toml\n@@ -22 +22 @@ pytest-cov = \"^2.12.1\"\n-safety = \"^1.10.3\"\n+safety = \"^2.1.1\"\ndiff --git a/services/admin/Makefile b/services/admin/Makefile\nindex bcbdd12f..49eb6f3d 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -22,33 +21,0 @@ watch:\n-\n-.PHONY: cancel-jobs-splits\n-cancel-jobs-splits:\n-\tpoetry run python src/admin/scripts/cancel_jobs_splits.py\n-\n-.PHONY: cancel-jobs-rows\n-cancel-jobs-rows:\n-\tpoetry run python src/admin/scripts/cancel_jobs_rows.py\n-\n-.PHONY: cancel-jobs-splits-next\n-cancel-jobs-splits-next:\n-\tpoetry run python src/admin/scripts/cancel_jobs_splits_next.py\n-\n-.PHONY: cancel-jobs-first-rows\n-cancel-jobs-first-rows:\n-\tpoetry run python src/admin/scripts/cancel_jobs_first_rows.py\n-\n-.PHONY: refresh-cache\n-refresh-cache:\n-\tpoetry run python src/admin/scripts/refresh_cache.py\n-\n-.PHONY: refresh-cache-canonical\n-refresh-cache-canonical:\n-\tpoetry run python src/admin/scripts/refresh_cache_canonical.py\n-\n-.PHONY: refresh-cache-errors\n-refresh-cache-errors:\n-\tpoetry run python src/admin/scripts/refresh_cache_errors.py\n-\n-.PHONY: warm-cache\n-warm-cache:\n-\tpoetry run python src/admin/scripts/warm_cache.py\n-\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex 3abd078a..26a3ae28 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -994,3 +994,18 @@ requests = \">=2.0.1,<3.0.0\"\n-name = \"safety\"\n-version = \"1.10.3\"\n-description = \"Checks installed dependencies for known vulnerabilities.\"\n+name = \"ruamel.yaml\"\n+version = \"0.17.21\"\n+description = \"ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3\"\n+\n+[package.dependencies]\n+\"ruamel.yaml.clib\" = {version = \">=0.2.6\", markers = \"platform_python_implementation == \\\"CPython\\\" and python_version < \\\"3.11\\\"\"}\n+\n+[package.extras]\n+docs = [\"ryd\"]\n+jinja2 = [\"ruamel.yaml.jinja2 (>=0.2)\"]\n+\n+[[package]]\n+name = \"ruamel.yaml.clib\"\n+version = \"0.2.6\"\n+description = \"C version of reader, parser and emitter for ruamel.yaml derived from libyaml\"\n@@ -1000,0 +1016,8 @@ python-versions = \">=3.5\"\n+[[package]]\n+name = \"safety\"\n+version = \"2.1.1\"\n+description = \"Checks installed dependencies for known vulnerabilities and licenses.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \"*\"\n+\n@@ -1002 +1025 @@ python-versions = \">=3.5\"\n-Click = \">=6.0\"\n+Click = \">=8.0.2\"\n@@ -1004 +1027 @@ dparse = \">=0.5.1\"\n-packaging = \"*\"\n+packaging = \">=21.0\"\n@@ -1005,0 +1029 @@ requests = \"*\"\n+\"ruamel.yaml\" = \">=0.17.21\"\n@@ -1201 +1225 @@ python-versions = \"3.9.6\"\n-content-hash = \"d752b15e4218940e85ab8eb765d5dc7bae4925d75bc16a4cc345a06ca7ff427b\"\n+content-hash = \"4838f10ffdee3e7f42b0edf1d26cb01f9f087da50ead819af4b7002682bf7599\"\n@@ -1945,4 +1969,3 @@ requests-toolbelt = [\n-safety = [\n- {file = \"safety-1.10.3-py2.py3-none-any.whl\", hash = \"sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84\"},\n- {file = \"safety-1.10.3.tar.gz\", hash = \"sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5\"},\n-]\n+\"ruamel.yaml\" = []\n+\"ruamel.yaml.clib\" = []\n+safety = []\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex 164530ca..18ef485a 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -28 +28 @@ pytest-cov = \"^2.12.1\"\n-safety = \"^1.10.3\"\n+safety = \"^2.1.1\"\ndiff --git a/services/api/poetry.lock b/services/api/poetry.lock\nindex e8935318..a7ea4de6 100644\n--- a/services/api/poetry.lock\n+++ b/services/api/poetry.lock\n@@ -972,3 +972,18 @@ tests = [\"pytest (>=7.0.0)\", \"coverage (>=6.0.0)\", \"pytest-cov\", \"pytest-asyncio\n-name = \"safety\"\n-version = \"1.10.3\"\n-description = \"Checks installed dependencies for known vulnerabilities.\"\n+name = \"ruamel.yaml\"\n+version = \"0.17.21\"\n+description = \"ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3\"\n+\n+[package.dependencies]\n+\"ruamel.yaml.clib\" = {version = \">=0.2.6\", markers = \"platform_python_implementation == \\\"CPython\\\" and python_version < \\\"3.11\\\"\"}\n+\n+[package.extras]\n+docs = [\"ryd\"]\n+jinja2 = [\"ruamel.yaml.jinja2 (>=0.2)\"]\n+\n+[[package]]\n+name = \"ruamel.yaml.clib\"\n+version = \"0.2.6\"\n+description = \"C version of reader, parser and emitter for ruamel.yaml derived from libyaml\"\n@@ -978,0 +994,8 @@ python-versions = \">=3.5\"\n+[[package]]\n+name = \"safety\"\n+version = \"2.1.1\"\n+description = \"Checks installed dependencies for known vulnerabilities and licenses.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \"*\"\n+\n@@ -980 +1003 @@ python-versions = \">=3.5\"\n-Click = \">=6.0\"\n+Click = \">=8.0.2\"\n@@ -982 +1005 @@ dparse = \">=0.5.1\"\n-packaging = \"*\"\n+packaging = \">=21.0\"\n@@ -983,0 +1007 @@ requests = \"*\"\n+\"ruamel.yaml\" = \">=0.17.21\"\n@@ -1179 +1203 @@ python-versions = \"3.9.6\"\n-content-hash = \"1c9c18112786ac7ca3223948c9d2499ed04abd0f32e270401b327ad596b695e2\"\n+content-hash = \"12ec697dab7f529a02353e4b6da188aa8d26d2d7c766a88e8ffe0e98814108c2\"\n@@ -1919,4 +1943,3 @@ responses = []\n-safety = [\n- {file = \"safety-1.10.3-py2.py3-none-any.whl\", hash = \"sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84\"},\n- {file = \"safety-1.10.3.tar.gz\", hash = \"sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5\"},\n-]\n+\"ruamel.yaml\" = []\n+\"ruamel.yaml.clib\" = []\n+safety = []\ndiff --git a/services/api/pyproject.toml b/services/api/pyproject.toml\nindex e9e1fb1a..1f0db559 100644\n--- a/services/api/pyproject.toml\n+++ b/services/api/pyproject.toml\n@@ -28 +28 @@ responses = \"^0.21.0\"\n-safety = \"^1.10.3\"\n+safety = \"^2.1.1\"\ndiff --git a/services/worker/poetry.lock b/services/worker/poetry.lock\nindex d272167e..91c94ee1 100644\n--- a/services/worker/poetry.lock\n+++ b/services/worker/poetry.lock\n@@ -434 +434 @@ torch = [\"torch\"]\n-tests = [\"importlib-resources\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[server,s3] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n+tests = [\"importlib-resources\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[s3,server] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n@@ -440 +440 @@ docs = [\"s3fs\"]\n-dev = [\"importlib-resources\", \"pyyaml (>=5.3.1)\", \"isort (>=5.0.0)\", \"flake8 (>=3.8.3)\", \"black (>=22.0,<23.0)\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[server,s3] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n+dev = [\"importlib-resources\", \"pyyaml (>=5.3.1)\", \"isort (>=5.0.0)\", \"flake8 (>=3.8.3)\", \"black (>=22.0,<23.0)\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[s3,server] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n@@ -614 +614 @@ name = \"fsspec\"\n-version = \"2022.7.1\"\n+version = \"2022.8.2\"\n@@ -621 +621 @@ python-versions = \">=3.7\"\n-aiohttp = {version = \"*\", optional = true, markers = \"extra == \\\"http\\\"\"}\n+aiohttp = {version = \"<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1\", optional = true, markers = \"extra == \\\"http\\\"\"}\n@@ -638 +638 @@ hdfs = [\"pyarrow (>=1)\"]\n-http = [\"requests\", \"aiohttp\"]\n+http = [\"requests\", \"aiohttp (!=4.0.0a0,!=4.0.0a1)\"]\n@@ -1396 +1396 @@ name = \"pillow\"\n-version = \"8.4.0\"\n+version = \"9.2.0\"\n@@ -1400 +1400,5 @@ optional = false\n-python-versions = \">=3.6\"\n+python-versions = \">=3.7\"\n+\n+[package.extras]\n+docs = [\"furo\", \"olefile\", \"sphinx (>=2.4)\", \"sphinx-copybutton\", \"sphinx-issues (>=3.0.1)\", \"sphinx-removed-in\", \"sphinxext-opengraph\"]\n+tests = [\"check-manifest\", \"coverage\", \"defusedxml\", \"markdown2\", \"olefile\", \"packaging\", \"pyroma\", \"pytest\", \"pytest-cov\", \"pytest-timeout\"]\n@@ -1939,3 +1943,18 @@ pyasn1 = \">=0.1.3\"\n-name = \"safety\"\n-version = \"1.10.3\"\n-description = \"Checks installed dependencies for known vulnerabilities.\"\n+name = \"ruamel.yaml\"\n+version = \"0.17.21\"\n+description = \"ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3\"\n+\n+[package.dependencies]\n+\"ruamel.yaml.clib\" = {version = \">=0.2.6\", markers = \"platform_python_implementation == \\\"CPython\\\" and python_version < \\\"3.11\\\"\"}\n+\n+[package.extras]\n+docs = [\"ryd\"]\n+jinja2 = [\"ruamel.yaml.jinja2 (>=0.2)\"]\n+\n+[[package]]\n+name = \"ruamel.yaml.clib\"\n+version = \"0.2.6\"\n+description = \"C version of reader, parser and emitter for ruamel.yaml derived from libyaml\"\n@@ -1945,0 +1965,8 @@ python-versions = \">=3.5\"\n+[[package]]\n+name = \"safety\"\n+version = \"2.1.1\"\n+description = \"Checks installed dependencies for known vulnerabilities and licenses.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \"*\"\n+\n@@ -1947 +1974 @@ python-versions = \">=3.5\"\n-Click = \">=6.0\"\n+Click = \">=8.0.2\"\n@@ -1949 +1976 @@ dparse = \">=0.5.1\"\n-packaging = \"*\"\n+packaging = \">=21.0\"\n@@ -1950,0 +1978 @@ requests = \"*\"\n+\"ruamel.yaml\" = \">=0.17.21\"\n@@ -2532 +2560 @@ python-versions = \"3.9.6\"\n-content-hash = \"093a388239cbc1f5cfd44d1f4dad6d08c7177521eb0900ce0920d5392fb6377a\"\n+content-hash = \"2e70efb47d3ec4947ffbd6d61ee38ee77f3976bc53bb56a1f6b52a6b9a23f317\"\n@@ -3716,43 +3744 @@ pbr = [\n-pillow = [\n- {file = \"Pillow-8.4.0-cp310-cp310-macosx_10_10_universal2.whl\", hash = \"sha256:81f8d5c81e483a9442d72d182e1fb6dcb9723f289a57e8030811bac9ea3fef8d\"},\n- {file = \"Pillow-8.4.0-cp310-cp310-macosx_11_0_arm64.whl\", hash = \"sha256:3f97cfb1e5a392d75dd8b9fd274d205404729923840ca94ca45a0af57e13dbe6\"},\n- {file = \"Pillow-8.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl\", hash = \"sha256:eb9fc393f3c61f9054e1ed26e6fe912c7321af2f41ff49d3f83d05bacf22cc78\"},\n- {file = 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\"Pillow-8.4.0-pp36-pypy36_pp73-manylinux_2_17_i686.manylinux2014_i686.whl\", hash = \"sha256:9a3e5ddc44c14042f0844b8cf7d2cd455f6cc80fd7f5eefbe657292cf601d9ad\"},\n- {file = \"Pillow-8.4.0-pp36-pypy36_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\", hash = \"sha256:c70e94281588ef053ae8998039610dbd71bc509e4acbc77ab59d7d2937b10698\"},\n- {file = \"Pillow-8.4.0-pp37-pypy37_pp73-macosx_10_10_x86_64.whl\", hash = \"sha256:3862b7256046fcd950618ed22d1d60b842e3a40a48236a5498746f21189afbbc\"},\n- {file = \"Pillow-8.4.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl\", hash = \"sha256:a4901622493f88b1a29bd30ec1a2f683782e57c3c16a2dbc7f2595ba01f639df\"},\n- {file = \"Pillow-8.4.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\", hash = \"sha256:84c471a734240653a0ec91dec0996696eea227eafe72a33bd06c92697728046b\"},\n- {file = \"Pillow-8.4.0-pp37-pypy37_pp73-win_amd64.whl\", hash = \"sha256:244cf3b97802c34c41905d22810846802a3329ddcb93ccc432870243211c79fc\"},\n- {file = \"Pillow-8.4.0.tar.gz\", hash = \"sha256:b8e2f83c56e141920c39464b852de3719dfbfb6e3c99a2d8da0edf4fb33176ed\"},\n-]\n+pillow = []\n@@ -4473,4 +4459,3 @@ rsa = [\n-safety = [\n- {file = \"safety-1.10.3-py2.py3-none-any.whl\", hash = \"sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84\"},\n- {file = \"safety-1.10.3.tar.gz\", hash = \"sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5\"},\n-]\n+\"ruamel.yaml\" = []\n+\"ruamel.yaml.clib\" = []\n+safety = []\ndiff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml\nindex 9079eb9c..233b648d 100644\n--- a/services/worker/pyproject.toml\n+++ b/services/worker/pyproject.toml\n@@ -8 +8 @@ version = \"0.1.1\"\n-Pillow = \"^8.4.0\"\n+Pillow = \"^9.0.0\"\n@@ -53 +53 @@ pytest-cov = \"^2.12.1\"\n-safety = \"^1.10.3\"\n+safety = \"^2.1.1\""}}},{"rowIdx":1650,"cells":{"hash":{"kind":"string","value":"4d29e21d4bf2a0efc246609edb7ddd11d9ee3190"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-09-05T13:10:48","string":"2022-09-05T13:10:48"},"subject":{"kind":"string","value":"feat: 🎸 tweak prod parameters (#536)"},"diff":{"kind":"string","value":"diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml\nindex 35f03a89..b77542d7 100644\n--- a/chart/env/prod.yaml\n+++ b/chart/env/prod.yaml\n@@ -106 +106 @@ worker:\n- replicas: 8\n+ replicas: 4\n@@ -139 +139 @@ worker:\n- maxJobsPerDataset: 2\n+ maxJobsPerDataset: 5\n@@ -142 +142 @@ worker:\n- replicas: 8\n+ replicas: 4\n@@ -159 +159 @@ worker:\n- replicas: 10\n+ replicas: 34\n@@ -175 +175 @@ worker:\n- maxJobsPerDataset: 2\n+ maxJobsPerDataset: 17"}}},{"rowIdx":1651,"cells":{"hash":{"kind":"string","value":"65f7e678c0965bef1932b941cf0005a49bbcd9f9"},"authorName":{"kind":"string","value":"Quentin Lhoest"},"authorEmail":{"kind":"string","value":"42851186+lhoestq@users.noreply.github.com"},"date":{"kind":"timestamp","value":"2022-08-26T15:23:52","string":"2022-08-26T15:23:52"},"subject":{"kind":"string","value":"Fix the `datasets` config parameters (#533)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 352259c4..c367bfe1 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -7,4 +7,4 @@\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\",\n- \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\"\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\",\n+ \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0\"\n@@ -12 +12 @@\n- } \n+ }\ndiff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py\nindex 1bafb180..60a25197 100644\n--- a/services/worker/src/worker/config.py\n+++ b/services/worker/src/worker/config.py\n@@ -2,0 +3 @@ import os\n+import datasets.config\n@@ -54,0 +56 @@ WORKER_SLEEP_SECONDS = get_int_value(os.environ, \"WORKER_SLEEP_SECONDS\", DEFAULT\n+# this one has to be set via an env variable unlike the others - this might be fixed in `datasets` at one point\n@@ -57 +59 @@ os.environ[\"HF_SCRIPTS_VERSION\"] = DATASETS_REVISION\n-os.environ[\"HF_ENDPOINT\"] = HF_ENDPOINT\n+datasets.config.HF_ENDPOINT = HF_ENDPOINT\n@@ -59 +61 @@ os.environ[\"HF_ENDPOINT\"] = HF_ENDPOINT\n-os.environ[\"HF_UPDATE_DOWNLOAD_COUNTS\"] = \"false\"\n+datasets.config.HF_UPDATE_DOWNLOAD_COUNTS = False"}}},{"rowIdx":1652,"cells":{"hash":{"kind":"string","value":"dc1444a4dc04985468e0b939db98b8152ecbfb41"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-25T23:53:51","string":"2022-08-25T23:53:51"},"subject":{"kind":"string","value":"feat: 🎸 gve priority to datasets that have no started jobs yet (#531)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 80548fd2..352259c4 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -7,4 +7,4 @@\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\",\n- \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\"\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\",\n+ \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50\"\ndiff --git a/libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl\nnew file mode 100644\nindex 00000000..1fd43552\nBinary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl differ\ndiff --git a/libs/libqueue/dist/libqueue-0.1.11.tar.gz b/libs/libqueue/dist/libqueue-0.1.11.tar.gz\nnew file mode 100644\nindex 00000000..790fecbf\nBinary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.11.tar.gz differ\ndiff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml\nindex 049f8f30..ec45af79 100644\n--- a/libs/libqueue/pyproject.toml\n+++ b/libs/libqueue/pyproject.toml\n@@ -5 +5 @@ name = \"libqueue\"\n-version = \"0.1.10\"\n+version = \"0.1.11\"\ndiff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py\nindex 73756390..599ba48f 100644\n--- a/libs/libqueue/src/libqueue/queue.py\n+++ b/libs/libqueue/src/libqueue/queue.py\n@@ -327 +327,5 @@ def get_finished(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]:\n-def get_excluded_dataset_names(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None) -> List[str]:\n+def get_started_dataset_names(jobs: QuerySet[AnyJob]) -> List[str]:\n+ return [job.dataset_name for job in jobs(status=Status.STARTED).only(\"dataset_name\")]\n+\n+\n+def get_excluded_dataset_names(dataset_names: List[str], max_jobs_per_dataset: Optional[int] = None) -> List[str]:\n@@ -330 +333,0 @@ def get_excluded_dataset_names(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Opt\n- dataset_names = [job.dataset_name for job in jobs(status=Status.STARTED).only(\"dataset_name\")]\n@@ -337 +340,2 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None\n- excluded_dataset_names = get_excluded_dataset_names(jobs, max_jobs_per_dataset)\n+ # try to get a job for a dataset that has still no started job\n+ started_dataset_names = get_started_dataset_names(jobs)\n@@ -339,4 +343 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None\n- jobs(status=Status.WAITING, dataset_name__nin=excluded_dataset_names)\n- .order_by(\"+created_at\")\n- .no_cache()\n- .first()\n+ jobs(status=Status.WAITING, dataset_name__nin=started_dataset_names).order_by(\"+created_at\").no_cache().first()\n@@ -344,0 +346,10 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None\n+ if next_waiting_job is None:\n+ # the waiting jobs are all for datasets that already have started jobs.\n+ # let's take the next one, in the limit of max_jobs_per_dataset\n+ excluded_dataset_names = get_excluded_dataset_names(started_dataset_names, max_jobs_per_dataset)\n+ next_waiting_job = (\n+ jobs(status=Status.WAITING, dataset_name__nin=excluded_dataset_names)\n+ .order_by(\"+created_at\")\n+ .no_cache()\n+ .first()\n+ )\ndiff --git a/libs/libqueue/tests/test_queue.py b/libs/libqueue/tests/test_queue.py\nindex cd357e33..70fc0660 100644\n--- a/libs/libqueue/tests/test_queue.py\n+++ b/libs/libqueue/tests/test_queue.py\n@@ -108,0 +109,29 @@ def test_add_job_with_broken_collection() -> None:\n+def test_priority_to_non_started_datasets() -> None:\n+ add_first_rows_job(\"dataset1\", \"config\", \"split1\")\n+ add_first_rows_job(\"dataset1\", \"config\", \"split2\")\n+ add_first_rows_job(\"dataset1\", \"config\", \"split3\")\n+ add_first_rows_job(\"dataset2\", \"config\", \"split1\")\n+ add_first_rows_job(\"dataset2\", \"config\", \"split2\")\n+ add_first_rows_job(\"dataset3\", \"config\", \"split1\")\n+ job_id, dataset_name, _, split_name, __ = get_first_rows_job()\n+ assert dataset_name == \"dataset1\"\n+ assert split_name == \"split1\"\n+ job_id, dataset_name, _, split_name, __ = get_first_rows_job()\n+ assert dataset_name == \"dataset2\"\n+ assert split_name == \"split1\"\n+ job_id, dataset_name, _, split_name, __ = get_first_rows_job()\n+ assert dataset_name == \"dataset3\"\n+ assert split_name == \"split1\"\n+ job_id, dataset_name, _, split_name, __ = get_first_rows_job()\n+ assert dataset_name == \"dataset1\"\n+ assert split_name == \"split2\"\n+ job_id, dataset_name, _, split_name, __ = get_first_rows_job()\n+ assert dataset_name == \"dataset1\"\n+ assert split_name == \"split3\"\n+ job_id, dataset_name, _, split_name, __ = get_first_rows_job()\n+ assert dataset_name == \"dataset2\"\n+ assert split_name == \"split2\"\n+ with pytest.raises(EmptyQueue):\n+ get_first_rows_job()\n+\n+\ndiff --git a/services/worker/poetry.lock b/services/worker/poetry.lock\nindex 6fd3f313..d272167e 100644\n--- a/services/worker/poetry.lock\n+++ b/services/worker/poetry.lock\n@@ -994 +994 @@ name = \"libqueue\"\n-version = \"0.1.10\"\n+version = \"0.1.11\"\n@@ -1007 +1007 @@ type = \"file\"\n-url = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\"\n+url = \"../../libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl\"\n@@ -2532 +2532 @@ python-versions = \"3.9.6\"\n-content-hash = \"dc68050aa6686dc1c0116d94a9d918fe8c23391b23b4944491c14a19c5c26678\"\n+content-hash = \"093a388239cbc1f5cfd44d1f4dad6d08c7177521eb0900ce0920d5392fb6377a\"\n@@ -3338 +3338 @@ libqueue = [\n- {file = \"libqueue-0.1.10-py3-none-any.whl\", hash = \"sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b\"},\n+ {file = \"libqueue-0.1.11-py3-none-any.whl\", hash = \"sha256:4a0f0205a5d522433d864574c291838e832765b90601f96573584ce6712a50e3\"},\ndiff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml\nindex 3e2b5e8a..9079eb9c 100644\n--- a/services/worker/pyproject.toml\n+++ b/services/worker/pyproject.toml\n@@ -19 +19 @@ libcache = { path = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\",\n-libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\", develop = false }\n+libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl\", develop = false }"}}},{"rowIdx":1653,"cells":{"hash":{"kind":"string","value":"85871378af0f541b0cf30d3ac17ffe79e5163a74"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-25T22:06:11","string":"2022-08-25T22:06:11"},"subject":{"kind":"string","value":"fix: 🐛 handle the case where two jobs exist for the same ds (#530)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 1cec12bd..80548fd2 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ccb1d42\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-2e2f818\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-93472fb\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-93472fb\",\n@@ -7,4 +7,4 @@\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n- \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\"\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\",\n+ \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb\"\ndiff --git a/libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\nnew file mode 100644\nindex 00000000..26f147e6\nBinary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl differ\ndiff --git a/libs/libqueue/dist/libqueue-0.1.10.tar.gz b/libs/libqueue/dist/libqueue-0.1.10.tar.gz\nnew file mode 100644\nindex 00000000..e19bb91b\nBinary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.10.tar.gz differ\ndiff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml\nindex 938f93cf..049f8f30 100644\n--- a/libs/libqueue/pyproject.toml\n+++ b/libs/libqueue/pyproject.toml\n@@ -5 +5 @@ name = \"libqueue\"\n-version = \"0.1.9\"\n+version = \"0.1.10\"\ndiff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py\nindex b1155262..73756390 100644\n--- a/libs/libqueue/src/libqueue/queue.py\n+++ b/libs/libqueue/src/libqueue/queue.py\n@@ -7,0 +8 @@ from mongoengine import Document, DoesNotExist, connect\n+from mongoengine.errors import MultipleObjectsReturned\n@@ -248 +249,2 @@ def get_datetime() -> datetime:\n-def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob):\n+def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob) -> AnyJob:\n+ pending_jobs = existing_jobs.filter(status__in=[Status.WAITING, Status.STARTED])\n@@ -250,2 +252,2 @@ def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob):\n- # Check if a non-finished job already exists\n- existing_jobs.filter(status__in=[Status.WAITING, Status.STARTED]).get()\n+ # If one non-finished job exists, return it\n+ return pending_jobs.get()\n@@ -253,2 +255,8 @@ def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob):\n- new_job.save()\n- # raises MultipleObjectsReturned if more than one entry -> should never occur, we let it raise\n+ # None exist, create one\n+ return new_job.save()\n+ except MultipleObjectsReturned:\n+ # should not happen, but it's not enforced in the database\n+ # (we could have one in WAITING status and another one in STARTED status)\n+ # it it happens, we \"cancel\" all of them, and re-run the same function\n+ pending_jobs.update(finished_at=get_datetime(), status=Status.CANCELLED)\n+ return add_job(existing_jobs, new_job)\ndiff --git a/libs/libqueue/tests/test_queue.py b/libs/libqueue/tests/test_queue.py\nindex 4625dea4..cd357e33 100644\n--- a/libs/libqueue/tests/test_queue.py\n+++ b/libs/libqueue/tests/test_queue.py\n@@ -4,0 +5,2 @@ from libqueue.queue import (\n+ FirstRowsJob,\n+ Status,\n@@ -10,0 +13 @@ from libqueue.queue import (\n+ get_datetime,\n@@ -70,0 +74,35 @@ def test_add_job() -> None:\n+def test_add_job_with_broken_collection() -> None:\n+ dataset_name = \"dataset_broken\"\n+ config_name = \"config_broken\"\n+ split_name = \"split_broken\"\n+ # ensure the jobs are cancelled with more than one exist in a \"pending\" status\n+ # we \"manually\" create two jobs in a \"pending\" status for the same split\n+ # (we normally cannot do that with the exposed methods)\n+ job_1 = FirstRowsJob(\n+ dataset_name=dataset_name,\n+ config_name=config_name,\n+ split_name=split_name,\n+ created_at=get_datetime(),\n+ status=Status.WAITING,\n+ ).save()\n+ job_2 = FirstRowsJob(\n+ dataset_name=dataset_name,\n+ config_name=config_name,\n+ split_name=split_name,\n+ created_at=get_datetime(),\n+ started_at=get_datetime(),\n+ status=Status.STARTED,\n+ ).save()\n+ # then we add a job: it should create a new job in the \"WAITING\" status\n+ # and the two other jobs should be cancelled\n+ add_first_rows_job(dataset_name=dataset_name, config_name=config_name, split_name=split_name)\n+ assert (\n+ FirstRowsJob.objects(\n+ dataset_name=dataset_name, config_name=config_name, split_name=split_name, status__in=[Status.WAITING]\n+ ).count()\n+ == 1\n+ )\n+ assert FirstRowsJob.objects(pk=job_1.pk).get().status == Status.CANCELLED\n+ assert FirstRowsJob.objects(pk=job_2.pk).get().status == Status.CANCELLED\n+\n+\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex 02c1979e..3abd078a 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -474 +474 @@ name = \"libqueue\"\n-version = \"0.1.9\"\n+version = \"0.1.10\"\n@@ -487 +487 @@ type = \"file\"\n-url = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\"\n+url = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\"\n@@ -1201 +1201 @@ python-versions = \"3.9.6\"\n-content-hash = \"74e577b2d1902d87de00736c6455c5be4f1c788fd1c81c4f37b901aa935f190f\"\n+content-hash = \"d752b15e4218940e85ab8eb765d5dc7bae4925d75bc16a4cc345a06ca7ff427b\"\n@@ -1471 +1471 @@ libqueue = [\n- {file = \"libqueue-0.1.9-py3-none-any.whl\", hash = \"sha256:ef88903c08b95c18b91d2c863c5add148aa8aee0a261e5039ec8ff18f8f17626\"},\n+ {file = \"libqueue-0.1.10-py3-none-any.whl\", hash = \"sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b\"},\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex 4023a485..164530ca 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -10 +10 @@ libcache = { path = \"../../libs/libcache/dist/libcache-0.1.27-py3-none-any.whl\",\n-libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\", develop = false }\n+libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\", develop = false }\ndiff --git a/services/api/poetry.lock b/services/api/poetry.lock\nindex e374440e..e8935318 100644\n--- a/services/api/poetry.lock\n+++ b/services/api/poetry.lock\n@@ -437 +437 @@ name = \"libqueue\"\n-version = \"0.1.9\"\n+version = \"0.1.10\"\n@@ -450 +450 @@ type = \"file\"\n-url = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\"\n+url = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\"\n@@ -1179 +1179 @@ python-versions = \"3.9.6\"\n-content-hash = \"633c78a9ad9fcb89e1368e6404f2874dd0dba5275af61c0d49d3e67e812fed62\"\n+content-hash = \"1c9c18112786ac7ca3223948c9d2499ed04abd0f32e270401b327ad596b695e2\"\n@@ -1444 +1444 @@ libqueue = [\n- {file = \"libqueue-0.1.9-py3-none-any.whl\", hash = \"sha256:ef88903c08b95c18b91d2c863c5add148aa8aee0a261e5039ec8ff18f8f17626\"},\n+ {file = \"libqueue-0.1.10-py3-none-any.whl\", hash = \"sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b\"},\ndiff --git a/services/api/pyproject.toml b/services/api/pyproject.toml\nindex 242bbb8f..e9e1fb1a 100644\n--- a/services/api/pyproject.toml\n+++ b/services/api/pyproject.toml\n@@ -9 +9 @@ libcache = { path = \"../../libs/libcache/dist/libcache-0.1.28-py3-none-any.whl\",\n-libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\", develop = false }\n+libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\", develop = false }\ndiff --git a/services/worker/poetry.lock b/services/worker/poetry.lock\nindex 7b83a692..6fd3f313 100644\n--- a/services/worker/poetry.lock\n+++ b/services/worker/poetry.lock\n@@ -994 +994 @@ name = \"libqueue\"\n-version = \"0.1.9\"\n+version = \"0.1.10\"\n@@ -1007 +1007 @@ type = \"file\"\n-url = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\"\n+url = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\"\n@@ -2532 +2532 @@ python-versions = \"3.9.6\"\n-content-hash = \"c4a829aac4358fdfc3dfb86caec17625ea8f251d23ac2549d304a0848447531f\"\n+content-hash = \"dc68050aa6686dc1c0116d94a9d918fe8c23391b23b4944491c14a19c5c26678\"\n@@ -3338 +3338 @@ libqueue = [\n- {file = \"libqueue-0.1.9-py3-none-any.whl\", hash = \"sha256:ef88903c08b95c18b91d2c863c5add148aa8aee0a261e5039ec8ff18f8f17626\"},\n+ {file = \"libqueue-0.1.10-py3-none-any.whl\", hash = \"sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b\"},\ndiff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml\nindex c9766319..3e2b5e8a 100644\n--- a/services/worker/pyproject.toml\n+++ b/services/worker/pyproject.toml\n@@ -19 +19 @@ libcache = { path = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\",\n-libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\", develop = false }\n+libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl\", develop = false }\ndiff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py\nindex f04b9a43..5d4095fc 100644\n--- a/services/worker/tests/responses/test_first_rows.py\n+++ b/services/worker/tests/responses/test_first_rows.py\n@@ -10 +9,0 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s\n-@pytest.mark.wip"}}},{"rowIdx":1654,"cells":{"hash":{"kind":"string","value":"adc89ffec0d152d8079c156443adbfc13f95c5ee"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-25T20:38:36","string":"2022-08-25T20:38:36"},"subject":{"kind":"string","value":"feat: 🎸 change the prod resources (#529)"},"diff":{"kind":"string","value":"diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml\nindex 52288098..35f03a89 100644\n--- a/chart/env/prod.yaml\n+++ b/chart/env/prod.yaml\n@@ -106 +106 @@ worker:\n- replicas: 4\n+ replicas: 8\n@@ -116 +116 @@ worker:\n- cpu: 1\n+ cpu: 2\n@@ -139 +139 @@ worker:\n- maxJobsPerDataset: 3\n+ maxJobsPerDataset: 2\n@@ -142 +142 @@ worker:\n- replicas: 4\n+ replicas: 8\n@@ -152 +152 @@ worker:\n- cpu: 1\n+ cpu: 2\n@@ -175 +175 @@ worker:\n- maxJobsPerDataset: 5\n+ maxJobsPerDataset: 2"}}},{"rowIdx":1655,"cells":{"hash":{"kind":"string","value":"63ecc62e05d566466deaafc6b97eb667ad9ffa25"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T20:17:15","string":"2022-08-24T20:17:15"},"subject":{"kind":"string","value":"ci: 🎡 only copy the scripts targets to the Makefile in docker (#527)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 9d4db6bb..1cec12bd 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-6b82cd8\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ccb1d42\",\ndiff --git a/services/admin/Dockerfile b/services/admin/Dockerfile\nindex 3a0b9857..9a769d8c 100644\n--- a/services/admin/Dockerfile\n+++ b/services/admin/Dockerfile\n@@ -30 +30 @@ COPY services/admin/pyproject.toml ./services/admin/pyproject.toml\n-COPY services/admin/Makefile ./services/admin/Makefile\n+COPY services/admin/Scripts.mk ./services/admin/Makefile\ndiff --git a/services/admin/Makefile b/services/admin/Makefile\nindex 575569fe..bcbdd12f 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -12,0 +13 @@ include ../../tools/Docker.mk\n+include ./Scripts.mk\ndiff --git a/services/admin/Scripts.mk b/services/admin/Scripts.mk\nnew file mode 100644\nindex 00000000..3518bb5a\n--- /dev/null\n+++ b/services/admin/Scripts.mk\n@@ -0,0 +1,32 @@\n+.PHONY: cancel-jobs-splits\n+cancel-jobs-splits:\n+\tpoetry run python src/admin/scripts/cancel_jobs_splits.py\n+\n+.PHONY: cancel-jobs-rows\n+cancel-jobs-rows:\n+\tpoetry run python src/admin/scripts/cancel_jobs_rows.py\n+\n+.PHONY: cancel-jobs-splits-next\n+cancel-jobs-splits-next:\n+\tpoetry run python src/admin/scripts/cancel_jobs_splits_next.py\n+\n+.PHONY: cancel-jobs-first-rows\n+cancel-jobs-first-rows:\n+\tpoetry run python src/admin/scripts/cancel_jobs_first_rows.py\n+\n+.PHONY: refresh-cache\n+refresh-cache:\n+\tpoetry run python src/admin/scripts/refresh_cache.py\n+\n+.PHONY: refresh-cache-canonical\n+refresh-cache-canonical:\n+\tpoetry run python src/admin/scripts/refresh_cache_canonical.py\n+\n+.PHONY: refresh-cache-errors\n+refresh-cache-errors:\n+\tpoetry run python src/admin/scripts/refresh_cache_errors.py\n+\n+.PHONY: warm-cache\n+warm-cache:\n+\tpoetry run python src/admin/scripts/warm_cache.py\n+\ndiff --git a/services/admin/src/admin/scripts/cancel_jobs_splits_next.py b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py\nindex 39c7385c..c91829fa 100644\n--- a/services/admin/src/admin/scripts/cancel_jobs_splits_next.py\n+++ b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py\n@@ -13 +13 @@ if __name__ == \"__main__\":\n- logger.info(\"all the started jobs in the splits/ queue have been cancelled and re-enqueued\")\n+ logger.info(\"all the started jobs in the splits-next/ queue have been cancelled and re-enqueued\")"}}},{"rowIdx":1656,"cells":{"hash":{"kind":"string","value":"cfbcf0651b9b5707a9c8adc79c4db60bd5ab6118"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T19:23:57","string":"2022-08-24T19:23:57"},"subject":{"kind":"string","value":"feat: 🎸 rename the tags of the /admin/metrics (#524)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 5eb560a7..9d4db6bb 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-1012c87\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-6b82cd8\",\ndiff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py\nindex 1649b001..ccf80d8f 100644\n--- a/services/admin/src/admin/prometheus.py\n+++ b/services/admin/src/admin/prometheus.py\n@@ -58,0 +59 @@ class Prometheus:\n+ # Queue metrics\n@@ -60 +61 @@ class Prometheus:\n- self.metrics[\"queue_jobs_total\"].labels(queue=\"datasets\", status=status).set(total)\n+ self.metrics[\"queue_jobs_total\"].labels(queue=\"/splits\", status=status).set(total)\n@@ -62 +63 @@ class Prometheus:\n- self.metrics[\"queue_jobs_total\"].labels(queue=\"splits\", status=status).set(total)\n+ self.metrics[\"queue_jobs_total\"].labels(queue=\"/rows\", status=status).set(total)\n@@ -64 +65 @@ class Prometheus:\n- self.metrics[\"queue_jobs_total\"].labels(queue=\"splits/\", status=status).set(total)\n+ self.metrics[\"queue_jobs_total\"].labels(queue=\"/splits-next\", status=status).set(total)\n@@ -66 +67,2 @@ class Prometheus:\n- self.metrics[\"queue_jobs_total\"].labels(queue=\"first-rows/\", status=status).set(total)\n+ self.metrics[\"queue_jobs_total\"].labels(queue=\"/first-rows\", status=status).set(total)\n+ # Cache metrics\n@@ -68 +70 @@ class Prometheus:\n- self.metrics[\"cache_entries_total\"].labels(cache=\"datasets\", status=status).set(total)\n+ self.metrics[\"cache_entries_total\"].labels(cache=\"/splits\", status=status).set(total)\n@@ -70 +72 @@ class Prometheus:\n- self.metrics[\"cache_entries_total\"].labels(cache=\"splits\", status=status).set(total)\n+ self.metrics[\"cache_entries_total\"].labels(cache=\"/rows\", status=status).set(total)\ndiff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py\nindex 0263ca87..24d3fd4d 100644\n--- a/services/admin/tests/test_app.py\n+++ b/services/admin/tests/test_app.py\n@@ -49,4 +49,5 @@ def test_metrics(client: TestClient) -> None:\n- assert 'queue_jobs_total{queue=\"datasets\",status=\"waiting\"}' in metrics\n- assert 'queue_jobs_total{queue=\"splits/\",status=\"success\"}' in metrics\n- assert 'queue_jobs_total{queue=\"first-rows/\",status=\"started\"}' in metrics\n- assert 'cache_entries_total{cache=\"datasets\",status=\"valid\"}' in metrics\n+ assert 'queue_jobs_total{queue=\"/splits\",status=\"waiting\"}' in metrics\n+ assert 'queue_jobs_total{queue=\"/rows\",status=\"success\"}' in metrics\n+ assert 'queue_jobs_total{queue=\"/splits-next\",status=\"started\"}' in metrics\n+ assert 'queue_jobs_total{queue=\"/first-rows\",status=\"started\"}' in metrics\n+ assert 'cache_entries_total{cache=\"/splits\",status=\"valid\"}' in metrics\n@@ -54 +55 @@ def test_metrics(client: TestClient) -> None:\n- assert 'responses_in_cache_total{path=\"/splits\",http_status=\"200\",error_code=null}' not in metrics\n+ assert 'responses_in_cache_total{path=\"/rows\",http_status=\"200\",error_code=null}' not in metrics\n@@ -55,0 +57 @@ def test_metrics(client: TestClient) -> None:\n+ assert 'responses_in_cache_total{path=\"/splits-next\",http_status=\"200\",error_code=null}' not in metrics"}}},{"rowIdx":1657,"cells":{"hash":{"kind":"string","value":"2f421cb141002f7c32b759c72f659973d8616484"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T19:09:45","string":"2022-08-24T19:09:45"},"subject":{"kind":"string","value":"ci: 🎡 restore Makefile in the docker image (#523)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex a4ad6123..5eb560a7 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-17a5c96\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-1012c87\",\ndiff --git a/services/admin/Dockerfile b/services/admin/Dockerfile\nindex 52ad88bf..3a0b9857 100644\n--- a/services/admin/Dockerfile\n+++ b/services/admin/Dockerfile\n@@ -29,0 +30 @@ COPY services/admin/pyproject.toml ./services/admin/pyproject.toml\n+COPY services/admin/Makefile ./services/admin/Makefile"}}},{"rowIdx":1658,"cells":{"hash":{"kind":"string","value":"2693a7417f908c2fbd59defdab40d726894da283"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T18:57:32","string":"2022-08-24T18:57:32"},"subject":{"kind":"string","value":"ci: 🎡 fix the names to have a better coherence (#522)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml\nindex d8f2a0da..47ff2e33 100644\n--- a/.github/workflows/_e2e_tests.yml\n+++ b/.github/workflows/_e2e_tests.yml\n@@ -76,2 +75,0 @@ jobs:\n- IMAGE_WORKER_DATASETS: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.datasets}}\"\n- IMAGE_WORKER_FIRST_ROWS: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}\"\n@@ -78,0 +77 @@ jobs:\n+ IMAGE_WORKER_ROWS: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.rows}}\"\n@@ -79,0 +79 @@ jobs:\n+ IMAGE_WORKER_FIRST_ROWS: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}\"\ndiff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 6c9e5694..a4ad6123 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -7,2 +6,0 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n@@ -10 +8,3 @@\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\"\n+ \"rows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\"\ndiff --git a/chart/env/dev.yaml b/chart/env/dev.yaml\nindex 733cb17e..01bbd30e 100644\n--- a/chart/env/dev.yaml\n+++ b/chart/env/dev.yaml\n@@ -48 +48 @@ worker:\n- datasets:\n+ splits:\n@@ -57 +57 @@ worker:\n- firstRows:\n+ rows:\n@@ -66 +66 @@ worker:\n- splits:\n+ splitsNext:\n@@ -75 +75 @@ worker:\n- splitsNext:\n+ firstRows:\ndiff --git a/chart/env/prod.yaml b/chart/env/prod.yaml\nindex 1c4409bf..52288098 100644\n--- a/chart/env/prod.yaml\n+++ b/chart/env/prod.yaml\n@@ -105 +105 @@ worker:\n- datasets:\n+ splits:\n@@ -122,2 +122,2 @@ worker:\n- splitsNext:\n- replicas: 4\n+ rows:\n+ replicas: 10\n@@ -133 +133 @@ worker:\n- cpu: 1\n+ cpu: 2\n@@ -137,0 +138,2 @@ worker:\n+ # Maximum number of jobs running at the same time for the same dataset\n+ maxJobsPerDataset: 3\n@@ -139,2 +141,2 @@ worker:\n- firstRows:\n- replicas: 10\n+ splitsNext:\n+ replicas: 4\n@@ -150 +152 @@ worker:\n- cpu: 2\n+ cpu: 1\n@@ -155,2 +156,0 @@ worker:\n- # Maximum number of jobs running at the same time for the same dataset\n- maxJobsPerDataset: 3\n@@ -158 +158 @@ worker:\n- splits:\n+ firstRows:\n@@ -175 +175,2 @@ worker:\n- maxJobsPerDataset: 3\n+ maxJobsPerDataset: 5\n+\ndiff --git a/chart/templates/_helpers.tpl b/chart/templates/_helpers.tpl\nindex 1b34814e..beffdcaa 100644\n--- a/chart/templates/_helpers.tpl\n+++ b/chart/templates/_helpers.tpl\n@@ -55 +55 @@ app: \"{{ include \"release\" . }}-api\"\n-{{- define \"labels.worker.datasets\" -}}\n+{{- define \"labels.worker.splits\" -}}\n@@ -57 +57 @@ app: \"{{ include \"release\" . }}-api\"\n-app: \"{{ include \"release\" . }}-worker-datasets\"\n+app: \"{{ include \"release\" . }}-worker-splits\"\n@@ -60 +60 @@ app: \"{{ include \"release\" . }}-worker-datasets\"\n-{{- define \"labels.worker.splits\" -}}\n+{{- define \"labels.worker.rows\" -}}\n@@ -62 +62 @@ app: \"{{ include \"release\" . }}-worker-datasets\"\n-app: \"{{ include \"release\" . }}-worker-splits\"\n+app: \"{{ include \"release\" . }}-worker-rows\"\ndiff --git a/chart/templates/worker/datasets/_container.tpl b/chart/templates/worker/rows/_container.tpl\nsimilarity index 56%\nrename from chart/templates/worker/datasets/_container.tpl\nrename to chart/templates/worker/rows/_container.tpl\nindex 85cb3830..82d8cbfa 100644\n--- a/chart/templates/worker/datasets/_container.tpl\n+++ b/chart/templates/worker/rows/_container.tpl\n@@ -1,2 +1,2 @@\n-{{- define \"containerWorkerDatasets\" -}}\n-- name: \"{{ include \"name\" . }}-worker-datasets\"\n+{{- define \"containerWorkerRows\" -}}\n+- name: \"{{ include \"name\" . }}-worker-rows\"\n@@ -7 +7 @@\n- value: {{ .Values.worker.datasets.assetsDirectory | quote }}\n+ value: {{ .Values.worker.rows.assetsDirectory | quote }}\n@@ -9 +9 @@\n- value: {{ .Values.worker.datasets.datasetsRevision | quote }}\n+ value: {{ .Values.worker.rows.datasetsRevision | quote }}\n@@ -11 +11 @@\n- value: \"{{ .Values.worker.datasets.cacheDirectory }}/datasets\"\n+ value: \"{{ .Values.worker.rows.cacheDirectory }}/datasets\"\n@@ -13,0 +14 @@\n+ # note: HF_MODULES_CACHE is not set to a shared directory\n@@ -27 +28 @@\n- value: {{ .Values.worker.datasets.logLevel | quote }}\n+ value: {{ .Values.worker.rows.logLevel | quote }}\n@@ -29 +30 @@\n- value: {{ .Values.worker.datasets.maxJobRetries | quote }}\n+ value: {{ .Values.worker.rows.maxJobRetries | quote }}\n@@ -31 +32 @@\n- value: {{ .Values.worker.datasets.maxJobsPerDataset | quote }}\n+ value: {{ .Values.worker.rows.maxJobsPerDataset | quote }}\n@@ -33 +34 @@\n- value: {{ .Values.worker.datasets.maxLoadPct | quote }}\n+ value: {{ .Values.worker.rows.maxLoadPct | quote }}\n@@ -35 +36 @@\n- value: {{ .Values.worker.datasets.maxMemoryPct | quote }}\n+ value: {{ .Values.worker.rows.maxMemoryPct | quote }}\n@@ -37 +38 @@\n- value: {{ .Values.worker.datasets.maxSizeFallback | quote }}\n+ value: {{ .Values.worker.rows.maxSizeFallback | quote }}\n@@ -39 +40 @@\n- value: {{ .Values.worker.datasets.minCellBytes | quote }}\n+ value: {{ .Values.worker.rows.minCellBytes | quote }}\n@@ -55 +56 @@\n- value: {{ .Values.worker.datasets.numbaCacheDirectory | quote }}\n+ value: {{ .Values.worker.rows.numbaCacheDirectory | quote }}\n@@ -57 +58 @@\n- value: {{ .Values.worker.datasets.rowsMaxBytes | quote }}\n+ value: {{ .Values.worker.rows.rowsMaxBytes | quote }}\n@@ -59 +60 @@\n- value: {{ .Values.worker.datasets.rowsMaxNumber | quote }}\n+ value: {{ .Values.worker.rows.rowsMaxNumber | quote }}\n@@ -61 +62 @@\n- value: {{ .Values.worker.datasets.rowsMinNumber| quote }}\n+ value: {{ .Values.worker.rows.rowsMinNumber| quote }}\n@@ -63 +64 @@\n- value: {{ .Values.worker.datasets.workerSleepSeconds | quote }}\n+ value: {{ .Values.worker.rows.workerSleepSeconds | quote }}\n@@ -65,3 +66,5 @@\n- # Job queue the worker will pull jobs from: 'datasets' or 'splits'\n- value: \"datasets\"\n- image: {{ .Values.dockerImage.worker.datasets }}\n+ # Job queue the worker will pull jobs from:\n+ # Note that the names might be confusing but have a historical reason\n+ # /splits -> 'datasets', /rows -> 'splits'\n+ value: \"splits\"\n+ image: {{ .Values.dockerImage.worker.rows }}\n@@ -70 +73 @@\n- - mountPath: {{ .Values.worker.datasets.assetsDirectory | quote }}\n+ - mountPath: {{ .Values.worker.rows.assetsDirectory | quote }}\n@@ -75 +78 @@\n- - mountPath: {{ .Values.worker.datasets.cacheDirectory | quote }}\n+ - mountPath: {{ .Values.worker.rows.cacheDirectory | quote }}\n@@ -80 +83 @@\n- - mountPath: {{ .Values.worker.datasets.numbaCacheDirectory | quote }}\n+ - mountPath: {{ .Values.worker.rows.numbaCacheDirectory | quote }}\n@@ -90 +93 @@\n- # port: {{ .Values.worker.datasets.readinessPort }}\n+ # port: {{ .Values.worker.rows.readinessPort }}\n@@ -93 +96 @@\n- # port: {{ .Values.worker.datasets.readinessPort }}\n+ # port: {{ .Values.worker.rows.readinessPort }}\n@@ -95 +98 @@\n- {{ toYaml .Values.worker.datasets.resources | nindent 4 }}\n+ {{ toYaml .Values.worker.rows.resources | nindent 4 }}\ndiff --git a/chart/templates/worker/datasets/deployment.yaml b/chart/templates/worker/rows/deployment.yaml\nsimilarity index 62%\nrename from chart/templates/worker/datasets/deployment.yaml\nrename to chart/templates/worker/rows/deployment.yaml\nindex fe19a4af..ec8a8c97 100644\n--- a/chart/templates/worker/datasets/deployment.yaml\n+++ b/chart/templates/worker/rows/deployment.yaml\n@@ -5,2 +5,2 @@ metadata:\n- {{ include \"labels.worker.datasets\" . | nindent 4 }}\n- name: \"{{ include \"release\" . }}-worker-datasets\"\n+ {{ include \"labels.worker.rows\" . | nindent 4 }}\n+ name: \"{{ include \"release\" . }}-worker-rows\"\n@@ -10 +10 @@ spec:\n- replicas: {{ .Values.worker.datasets.replicas }}\n+ replicas: {{ .Values.worker.rows.replicas }}\n@@ -14 +14 @@ spec:\n- {{ include \"labels.worker.datasets\" . | nindent 6 }}\n+ {{ include \"labels.worker.rows\" . | nindent 6 }}\n@@ -20 +20 @@ spec:\n- {{ include \"labels.worker.datasets\" . | nindent 8 }}\n+ {{ include \"labels.worker.rows\" . | nindent 8 }}\n@@ -27 +27 @@ spec:\n- {{ include \"containerWorkerDatasets\" . | nindent 8 }}\n+ {{ include \"containerWorkerRows\" . | nindent 8 }}\n@@ -29 +29 @@ spec:\n- {{ toYaml .Values.worker.datasets.nodeSelector | nindent 8 }}\n+ {{ toYaml .Values.worker.rows.nodeSelector | nindent 8 }}\n@@ -31 +31 @@ spec:\n- {{ toYaml .Values.worker.datasets.tolerations | nindent 8 }}\n+ {{ toYaml .Values.worker.rows.tolerations | nindent 8 }}\ndiff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl\nindex dfa81798..bc4863ed 100644\n--- a/chart/templates/worker/splits/_container.tpl\n+++ b/chart/templates/worker/splits/_container.tpl\n@@ -8 +8 @@\n- - name: DATASETS_REVISION\n+ - name: splits_REVISION\n@@ -14 +13,0 @@\n- # note: HF_MODULES_CACHE is not set to a shared directory\n@@ -66,2 +65,4 @@\n- # Job queue the worker will pull jobs from: 'datasets' or 'splits'\n- value: \"splits\"\n+ # Job queue the worker will pull jobs from:\n+ # Note that the names might be confusing but have a historical reason\n+ # /splits -> 'datasets', /rows -> 'splits'\n+ value: \"datasets\"\ndiff --git a/chart/values.yaml b/chart/values.yaml\nindex 53f8b2e8..79bb85a6 100644\n--- a/chart/values.yaml\n+++ b/chart/values.yaml\n@@ -19 +18,0 @@ dockerImage:\n- datasets: \"\"\n@@ -20,0 +20,3 @@ dockerImage:\n+ rows: \"\"\n+ splits-next: \"\"\n+ first-rows: \"\"\n@@ -105 +107 @@ worker:\n- datasets:\n+ splits:\n@@ -149 +151 @@ worker:\n- firstRows:\n+ rows:\n@@ -166,2 +167,0 @@ worker:\n- # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required)\n- hfToken: \"\"\n@@ -235 +235 @@ worker:\n- splits:\n+ firstRows:\n@@ -251,0 +252,2 @@ worker:\n+ # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required)\n+ hfToken: \"\"\ndiff --git a/tools/DockerRemoteImages.mk b/tools/DockerRemoteImages.mk\nindex 149cd420..f48f17d1 100644\n--- a/tools/DockerRemoteImages.mk\n+++ b/tools/DockerRemoteImages.mk\n@@ -4,2 +3,0 @@ export IMAGE_REVERSE_PROXY := $(shell jq -r '.dockerImage.reverseProxy' ${DOCKER\n-export IMAGE_WORKER_DATASETS := $(shell jq -r '.dockerImage.worker.datasets' ${DOCKER_IMAGES})\n-export IMAGE_WORKER_FIRST_ROWS := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES})\n@@ -6,0 +5 @@ export IMAGE_WORKER_SPLITS := $(shell jq -r '.dockerImage.worker.splits' ${DOCKE\n+export IMAGE_WORKER_ROWS := $(shell jq -r '.dockerImage.worker.rows' ${DOCKER_IMAGES})\n@@ -7,0 +7 @@ export IMAGE_WORKER_SPLITS_NEXT := $(shell jq -r '.dockerImage.worker.splitsNext\n+export IMAGE_WORKER_FIRST_ROWS := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES})\ndiff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml\nindex dd3e4934..6f0aa6df 100644\n--- a/tools/docker-compose-datasets-server-from-remote-images.yml\n+++ b/tools/docker-compose-datasets-server-from-remote-images.yml\n@@ -44,2 +44,2 @@ services:\n- worker-datasets:\n- image: ${IMAGE_WORKER_DATASETS?IMAGE_WORKER_DATASETS env var must be provided}\n+ worker-splits:\n+ image: ${IMAGE_WORKER_SPLITS?IMAGE_WORKER_SPLITS env var must be provided}\n@@ -62,2 +62,2 @@ services:\n- worker-first-rows:\n- image: ${IMAGE_WORKER_FIRST_ROWS?IMAGE_WORKER_FIRST_ROWS env var must be provided}\n+ worker-rows:\n+ image: ${IMAGE_WORKER_ROWS?IMAGE_WORKER_ROWS env var must be provided}\n@@ -76 +76 @@ services:\n- WORKER_QUEUE: \"first_rows_responses\"\n+ WORKER_QUEUE: \"splits\"\n@@ -98,2 +98,2 @@ services:\n- worker-splits:\n- image: ${IMAGE_WORKER_SPLITS?IMAGE_WORKER_SPLITS env var must be provided}\n+ worker-first-rows:\n+ image: ${IMAGE_WORKER_FIRST_ROWS?IMAGE_WORKER_FIRST_ROWS env var must be provided}\n@@ -112 +112 @@ services:\n- WORKER_QUEUE: \"splits\"\n+ WORKER_QUEUE: \"first_rows_responses\""}}},{"rowIdx":1659,"cells":{"hash":{"kind":"string","value":"d7f1c1e40cd6c700cdfcbb70b2d20d2090e78c48"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T18:33:39","string":"2022-08-24T18:33:39"},"subject":{"kind":"string","value":"Update tools (#521)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 5cbb7d43..6c9e5694 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a391ac2\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-dcd92f4\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-17a5c96\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-2e2f818\",\ndiff --git a/services/admin/Makefile b/services/admin/Makefile\nindex c6a51eb8..575569fe 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -22,3 +22,3 @@ watch:\n-.PHONY: cancel-started-split-jobs\n-cancel-started-split-jobs:\n-\tpoetry run python src/admin/scripts/cancel_started_split_jobs.py\n+.PHONY: cancel-jobs-splits\n+cancel-jobs-splits:\n+\tpoetry run python src/admin/scripts/cancel_jobs_splits.py\n@@ -26,3 +26,3 @@ cancel-started-split-jobs:\n-.PHONY: cancel-started-dataset-jobs\n-cancel-started-dataset-jobs:\n-\tpoetry run python src/admin/scripts/cancel_started_dataset_jobs.py\n+.PHONY: cancel-jobs-rows\n+cancel-jobs-rows:\n+\tpoetry run python src/admin/scripts/cancel_jobs_rows.py\n@@ -30,3 +30,3 @@ cancel-started-dataset-jobs:\n-.PHONY: cancel-started-splits-jobs\n-cancel-started-splits-jobs:\n-\tpoetry run python src/admin/scripts/cancel_started_splits_jobs.py\n+.PHONY: cancel-jobs-splits-next\n+cancel-jobs-splits-next:\n+\tpoetry run python src/admin/scripts/cancel_jobs_splits_next.py\n@@ -34,3 +34,3 @@ cancel-started-splits-jobs:\n-.PHONY: cancel-started-first-rows-jobs\n-cancel-started-first-rows-jobs:\n-\tpoetry run python src/admin/scripts/cancel_started_first_rows_jobs.py\n+.PHONY: cancel-jobs-first-rows\n+cancel-jobs-first-rows:\n+\tpoetry run python src/admin/scripts/cancel_jobs_first_rows.py\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex d04d4397..093f0413 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -45,7 +45,8 @@ The scripts:\n-- `cancel-started-split-jobs`: cancel all the started split jobs (stop the workers before!)\n-- `cancel-started-dataset-jobs`: cancel all the started dataset jobs (stop the workers before!)\n-- `cancel-started-splits-jobs`: cancel all the started splits/ jobs (stop the workers before!)\n-- `cancel-started-first-rows-jobs`: cancel all the started first-rows/ jobs (stop the workers before!)\n-- `refresh-cache`: add a job for every HF dataset\n-- `refresh-cache-canonical`: add a job for every HF canonical dataset\n-- `warm-cache`: create jobs for all the missing datasets and/or splits\n+- `cancel-jobs-splits`: cancel all the started jobs for /splits (stop the workers before!)\n+- `cancel-jobs-rows`: cancel all the started jobs for /rows (stop the workers before!)\n+- `cancel-jobs-splits-next`: cancel all the started jobs for /splits-next (stop the workers before!)\n+- `cancel-jobs-first-rows`: cancel all the started jobs for /first-rows (stop the workers before!)\n+- `refresh-cache`: add a /splits-next job for every HF dataset\n+- `refresh-cache-canonical`: add a /splits-next job for every HF canonical dataset\n+- `refresh-cache-errors`: add a /splits-next job for every erroneous HF dataset\n+- `warm-cache`: create /splits-next and /first-rows jobs for all the missing datasets and/or splits\ndiff --git a/services/admin/src/admin/scripts/cancel_started_first_rows_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py\nsimilarity index 76%\nrename from services/admin/src/admin/scripts/cancel_started_first_rows_jobs.py\nrename to services/admin/src/admin/scripts/cancel_jobs_first_rows.py\nindex e1b03f63..0036927a 100644\n--- a/services/admin/src/admin/scripts/cancel_started_first_rows_jobs.py\n+++ b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py\n@@ -9,2 +9,2 @@ if __name__ == \"__main__\":\n- init_logger(LOG_LEVEL, \"cancel_started_first_rows_jobs\")\n- logger = logging.getLogger(\"cancel_started_first_rows_jobs\")\n+ init_logger(LOG_LEVEL, \"cancel_jobs_first_rows\")\n+ logger = logging.getLogger(\"cancel_jobs_first_rows\")\ndiff --git a/services/admin/src/admin/scripts/cancel_started_split_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_rows.py\nsimilarity index 77%\nrename from services/admin/src/admin/scripts/cancel_started_split_jobs.py\nrename to services/admin/src/admin/scripts/cancel_jobs_rows.py\nindex 8da2150a..dd53b4bf 100644\n--- a/services/admin/src/admin/scripts/cancel_started_split_jobs.py\n+++ b/services/admin/src/admin/scripts/cancel_jobs_rows.py\n@@ -9,2 +9,2 @@ if __name__ == \"__main__\":\n- init_logger(LOG_LEVEL, \"cancel_started_split_jobs\")\n- logger = logging.getLogger(\"cancel_started_split_jobs\")\n+ init_logger(LOG_LEVEL, \"cancel_jobs_rows\")\n+ logger = logging.getLogger(\"cancel_jobs_rows\")\ndiff --git a/services/admin/src/admin/scripts/cancel_started_dataset_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_splits.py\nsimilarity index 77%\nrename from services/admin/src/admin/scripts/cancel_started_dataset_jobs.py\nrename to services/admin/src/admin/scripts/cancel_jobs_splits.py\nindex 72341444..0ebd5729 100644\n--- a/services/admin/src/admin/scripts/cancel_started_dataset_jobs.py\n+++ b/services/admin/src/admin/scripts/cancel_jobs_splits.py\n@@ -9,2 +9,2 @@ if __name__ == \"__main__\":\n- init_logger(LOG_LEVEL, \"cancel_started_dataset_jobs\")\n- logger = logging.getLogger(\"cancel_started_dataset_jobs\")\n+ init_logger(LOG_LEVEL, \"cancel_jobs_splits\")\n+ logger = logging.getLogger(\"cancel_jobs_splits\")\ndiff --git a/services/admin/src/admin/scripts/cancel_started_splits_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py\nsimilarity index 77%\nrename from services/admin/src/admin/scripts/cancel_started_splits_jobs.py\nrename to services/admin/src/admin/scripts/cancel_jobs_splits_next.py\nindex d7aac5d4..39c7385c 100644\n--- a/services/admin/src/admin/scripts/cancel_started_splits_jobs.py\n+++ b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py\n@@ -9,2 +9,2 @@ if __name__ == \"__main__\":\n- init_logger(LOG_LEVEL, \"cancel_started_splits_jobs\")\n- logger = logging.getLogger(\"cancel_started_splits_jobs\")\n+ init_logger(LOG_LEVEL, \"cancel_jobs_splits_next\")\n+ logger = logging.getLogger(\"cancel_jobs_splits_next\")\ndiff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py\nindex 71fb7ed2..891f4198 100644\n--- a/services/admin/src/admin/scripts/refresh_cache.py\n+++ b/services/admin/src/admin/scripts/refresh_cache.py\n@@ -5 +5 @@ from huggingface_hub.hf_api import HfApi # type: ignore\n-from libqueue.queue import add_dataset_job, add_splits_job, connect_to_queue\n+from libqueue.queue import add_splits_job, connect_to_queue\n@@ -20 +19,0 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None:\n- add_dataset_job(dataset_name)\ndiff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py\nindex 85e1d60a..50742c0f 100644\n--- a/services/admin/src/admin/scripts/warm_cache.py\n+++ b/services/admin/src/admin/scripts/warm_cache.py\n@@ -10 +10 @@ from libcache.cache import (\n-from libqueue.queue import add_dataset_job, add_split_job, connect_to_queue\n+from libqueue.queue import add_first_rows_job, add_splits_job, connect_to_queue\n@@ -31 +31 @@ def warm_cache(dataset_names: List[str]) -> None:\n- add_dataset_job(dataset)\n+ add_splits_job(dataset)\n@@ -39 +39 @@ def warm_cache(dataset_names: List[str]) -> None:\n- add_split_job(dataset, config, split)\n+ add_first_rows_job(dataset, config, split)\ndiff --git a/services/api/src/api/app.py b/services/api/src/api/app.py\nindex 95df090c..02869d44 100644\n--- a/services/api/src/api/app.py\n+++ b/services/api/src/api/app.py\n@@ -34 +34 @@ from api.routes.valid_next import create_is_valid_next_endpoint, valid_next_endp\n-from api.routes.webhook import webhook_endpoint\n+from api.routes.webhook import webhook_endpoint, webhook_endpoint_with_deprecated\n@@ -61 +61,2 @@ def create_app() -> Starlette:\n- Route(\"/webhook\", endpoint=webhook_endpoint, methods=[\"POST\"]),\n+ Route(\"/webhook\", endpoint=webhook_endpoint_with_deprecated, methods=[\"POST\"]),\n+ Route(\"/webhook-next\", endpoint=webhook_endpoint, methods=[\"POST\"]),\ndiff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py\nindex 7b2d6d75..08e2f9cc 100644\n--- a/services/api/src/api/routes/webhook.py\n+++ b/services/api/src/api/routes/webhook.py\n@@ -49,3 +49 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]:\n- if not are_valid_parameters([dataset_name]):\n- return None\n- return dataset_name\n+ return dataset_name if are_valid_parameters([dataset_name]) else None\n@@ -54 +52 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]:\n-def try_to_update(id: Optional[str]) -> None:\n+def try_to_update(id: Optional[str], with_deprecated: bool) -> None:\n@@ -58,2 +56,3 @@ def try_to_update(id: Optional[str]) -> None:\n- create_or_mark_dataset_as_stale(dataset_name)\n- add_dataset_job(dataset_name)\n+ if with_deprecated:\n+ create_or_mark_dataset_as_stale(dataset_name)\n+ add_dataset_job(dataset_name)\n@@ -66 +65 @@ def try_to_update(id: Optional[str]) -> None:\n-def try_to_delete(id: Optional[str]) -> None:\n+def try_to_delete(id: Optional[str], with_deprecated: bool) -> None:\n@@ -70 +69,2 @@ def try_to_delete(id: Optional[str]) -> None:\n- delete_dataset_cache(dataset_name)\n+ if with_deprecated:\n+ delete_dataset_cache(dataset_name)\n@@ -76,4 +76,4 @@ def try_to_delete(id: Optional[str]) -> None:\n-def process_payload(payload: MoonWebhookV2Payload) -> None:\n- try_to_update(payload[\"add\"])\n- try_to_update(payload[\"update\"])\n- try_to_delete(payload[\"remove\"])\n+def process_payload(payload: MoonWebhookV2Payload, with_deprecated=False) -> None:\n+ try_to_update(payload[\"add\"], with_deprecated)\n+ try_to_update(payload[\"update\"], with_deprecated)\n+ try_to_delete(payload[\"remove\"], with_deprecated)\n@@ -82 +82 @@ def process_payload(payload: MoonWebhookV2Payload) -> None:\n-async def webhook_endpoint(request: Request) -> Response:\n+async def webhook_endpoint_with_deprecated(request: Request) -> Response:\n@@ -94,0 +95,18 @@ async def webhook_endpoint(request: Request) -> Response:\n+ process_payload(payload, with_deprecated=True)\n+ content = {\"status\": \"ok\"}\n+ return get_response(content, 200)\n+\n+\n+async def webhook_endpoint(request: Request) -> Response:\n+ try:\n+ json = await request.json()\n+ except Exception:\n+ content = {\"status\": \"error\", \"error\": \"the body could not be parsed as a JSON\"}\n+ return get_response(content, 400)\n+ logger.info(f\"/webhook-next: {json}\")\n+ try:\n+ payload = parse_payload(json)\n+ except Exception:\n+ content = {\"status\": \"error\", \"error\": \"the JSON payload is invalid\"}\n+ return get_response(content, 400)\n+"}}},{"rowIdx":1660,"cells":{"hash":{"kind":"string","value":"af0e882716f68739337553e5a6811aeafcb6249d"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T18:03:37","string":"2022-08-24T18:03:37"},"subject":{"kind":"string","value":"Reduce responses size (#520)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex e0d44424..5cbb7d43 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-dcd92f4\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a391ac2\",\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6\"\ndiff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 895a7879..b82784a5 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -410 +410 @@\n- \"required\": [\"features\", \"rows\"],\n+ \"required\": [\"dataset\", \"config\", \"split\", \"features\", \"rows\"],\n@@ -411,0 +412,9 @@\n+ \"dataset\": {\n+ \"type\": \"string\"\n+ },\n+ \"config\": {\n+ \"type\": \"string\"\n+ },\n+ \"split\": {\n+ \"type\": \"string\"\n+ },\n@@ -438,8 +447 @@\n- \"required\": [\n- \"dataset\",\n- \"config\",\n- \"split\",\n- \"feature_idx\",\n- \"name\",\n- \"type\"\n- ],\n+ \"required\": [\"feature_idx\", \"name\", \"type\"],\n@@ -447,9 +448,0 @@\n- \"dataset\": {\n- \"type\": \"string\"\n- },\n- \"config\": {\n- \"type\": \"string\"\n- },\n- \"split\": {\n- \"type\": \"string\"\n- },\n@@ -829,8 +822 @@\n- \"required\": [\n- \"dataset\",\n- \"config\",\n- \"split\",\n- \"row_idx\",\n- \"row\",\n- \"truncated_cells\"\n- ],\n+ \"required\": [\"row_idx\", \"row\", \"truncated_cells\"],\n@@ -838,9 +823,0 @@\n- \"dataset\": {\n- \"type\": \"string\"\n- },\n- \"config\": {\n- \"type\": \"string\"\n- },\n- \"split\": {\n- \"type\": \"string\"\n- },\n@@ -1255 +1232 @@\n- \" File \\\"/src/services/worker/src/worker/models/dataset.py\\\", line 21, in \\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/models/dataset.py\\\", line 21, in \\n for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token)\\n\",\n@@ -2476,3 +2453,3 @@\n- \"dataset_name\": \"duorc\",\n- \"config_name\": \"SelfRC\",\n- \"split_name\": \"train\",\n+ \"dataset\": \"duorc\",\n+ \"config\": \"SelfRC\",\n+ \"split\": \"train\",\n@@ -2483,3 +2460,3 @@\n- \"dataset_name\": \"duorc\",\n- \"config_name\": \"SelfRC\",\n- \"split_name\": \"validation\",\n+ \"dataset\": \"duorc\",\n+ \"config\": \"SelfRC\",\n+ \"split\": \"validation\",\n@@ -2490,3 +2467,3 @@\n- \"dataset_name\": \"duorc\",\n- \"config_name\": \"SelfRC\",\n- \"split_name\": \"test\",\n+ \"dataset\": \"duorc\",\n+ \"config\": \"SelfRC\",\n+ \"split\": \"test\",\n@@ -2497,3 +2474,3 @@\n- \"dataset_name\": \"duorc\",\n- \"config_name\": \"ParaphraseRC\",\n- \"split_name\": \"train\",\n+ \"dataset\": \"duorc\",\n+ \"config\": \"ParaphraseRC\",\n+ \"split\": \"train\",\n@@ -2504,3 +2481,3 @@\n- \"dataset_name\": \"duorc\",\n- \"config_name\": \"ParaphraseRC\",\n- \"split_name\": \"validation\",\n+ \"dataset\": \"duorc\",\n+ \"config\": \"ParaphraseRC\",\n+ \"split\": \"validation\",\n@@ -2511,3 +2488,3 @@\n- \"dataset_name\": \"duorc\",\n- \"config_name\": \"ParaphraseRC\",\n- \"split_name\": \"test\",\n+ \"dataset\": \"duorc\",\n+ \"config\": \"ParaphraseRC\",\n+ \"split\": \"test\",\n@@ -2525,3 +2502,3 @@\n- \"dataset_name\": \"emotion\",\n- \"config_name\": \"default\",\n- \"split_name\": \"train\",\n+ \"dataset\": \"emotion\",\n+ \"config\": \"default\",\n+ \"split\": \"train\",\n@@ -2532,3 +2509,3 @@\n- \"dataset_name\": \"emotion\",\n- \"config_name\": \"default\",\n- \"split_name\": \"validation\",\n+ \"dataset\": \"emotion\",\n+ \"config\": \"default\",\n+ \"split\": \"validation\",\n@@ -2539,3 +2516,3 @@\n- \"dataset_name\": \"emotion\",\n- \"config_name\": \"default\",\n- \"split_name\": \"test\",\n+ \"dataset\": \"emotion\",\n+ \"config\": \"default\",\n+ \"split\": \"test\",\n@@ -2696 +2673 @@\n- \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 74, in get_splits_response\\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 74, in get_splits_response\\n split_full_names = get_dataset_split_full_names(dataset, hf_token)\\n\",\n@@ -2698 +2675 @@\n- \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 38, in \\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 38, in \\n for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token)\\n\",\n@@ -2713,2 +2690,2 @@\n- \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 74, in get_splits_response\\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\\n\",\n- \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 37, in get_dataset_split_full_names\\n for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 74, in get_splits_response\\n split_full_names = get_dataset_split_full_names(dataset, hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 37, in get_dataset_split_full_names\\n for config in get_dataset_config_names(dataset, use_auth_token=hf_token)\\n\",\n@@ -2844,0 +2822,3 @@\n+ \"dataset\": \"imdb\",\n+ \"config\": \"plain_text\",\n+ \"split\": \"train\",\n@@ -2847,3 +2826,0 @@\n- \"dataset\": \"imdb\",\n- \"config\": \"plain_text\",\n- \"split\": \"train\",\n@@ -2859,3 +2835,0 @@\n- \"dataset\": \"imdb\",\n- \"config\": \"plain_text\",\n- \"split\": \"train\",\n@@ -2874,3 +2847,0 @@\n- \"dataset\": \"imdb\",\n- \"config\": \"plain_text\",\n- \"split\": \"train\",\n@@ -2885,3 +2855,0 @@\n- \"dataset\": \"imdb\",\n- \"config\": \"plain_text\",\n- \"split\": \"train\",\n@@ -2896,3 +2863,0 @@\n- \"dataset\": \"imdb\",\n- \"config\": \"plain_text\",\n- \"split\": \"train\",\n@@ -2907,3 +2871,0 @@\n- \"dataset\": \"imdb\",\n- \"config\": \"plain_text\",\n- \"split\": \"train\",\n@@ -2922,0 +2885,3 @@\n+ \"dataset\": \"ett\",\n+ \"config\": \"m2\",\n+ \"split\": \"test\",\n@@ -2925,3 +2889,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -2937,3 +2898,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -2954,3 +2912,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -2971,3 +2926,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -2993,3 +2945,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -3007,3 +2956,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -3021,3 +2967,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -3035,3 +2978,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -3049,3 +2989,0 @@\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n@@ -3067,0 +3006,3 @@\n+ \"dataset\": \"huggan/horse2zebra\",\n+ \"config\": \"huggan--horse2zebra-aligned\",\n+ \"split\": \"train\",\n@@ -3070,3 +3010,0 @@\n- \"dataset\": \"huggan/horse2zebra\",\n- \"config\": \"huggan--horse2zebra-aligned\",\n- \"split\": \"train\",\n@@ -3082,3 +3019,0 @@\n- \"dataset\": \"huggan/horse2zebra\",\n- \"config\": \"huggan--horse2zebra-aligned\",\n- \"split\": \"train\",\n@@ -3096,3 +3030,0 @@\n- \"dataset\": \"huggan/horse2zebra\",\n- \"config\": \"huggan--horse2zebra-aligned\",\n- \"split\": \"train\",\n@@ -3107,3 +3038,0 @@\n- \"dataset\": \"huggan/horse2zebra\",\n- \"config\": \"huggan--horse2zebra-aligned\",\n- \"split\": \"train\",\n@@ -3118,3 +3046,0 @@\n- \"dataset\": \"huggan/horse2zebra\",\n- \"config\": \"huggan--horse2zebra-aligned\",\n- \"split\": \"train\",\n@@ -3129,3 +3054,0 @@\n- \"dataset\": \"huggan/horse2zebra\",\n- \"config\": \"huggan--horse2zebra-aligned\",\n- \"split\": \"train\",\n@@ -3144,0 +3068,3 @@\n+ \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n+ \"config\": \"en\",\n+ \"split\": \"train\",\n@@ -3147,3 +3072,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3159,3 +3081,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3171,3 +3090,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3185,3 +3101,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3197,3 +3110,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3209,3 +3119,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3221,3 +3128,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3233,3 +3137,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3245,3 +3146,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3257,3 +3155,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3269,3 +3164,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3283,3 +3175,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3312,3 +3201,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\n@@ -3341,3 +3227,0 @@\n- \"dataset\": \"mozilla-foundation/common_voice_9_0\",\n- \"config\": \"en\",\n- \"split\": \"train\",\ndiff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py\nindex aa1d6e83..85e1d60a 100644\n--- a/services/admin/src/admin/scripts/warm_cache.py\n+++ b/services/admin/src/admin/scripts/warm_cache.py\n@@ -28,2 +28,2 @@ def warm_cache(dataset_names: List[str]) -> None:\n- for dataset_name in dataset_names:\n- if should_dataset_be_refreshed(dataset_name):\n+ for dataset in dataset_names:\n+ if should_dataset_be_refreshed(dataset):\n@@ -31,3 +31,3 @@ def warm_cache(dataset_names: List[str]) -> None:\n- add_dataset_job(dataset_name)\n- logger.info(f\"added a job to refresh '{dataset_name}'\")\n- elif split_full_names := list_split_full_names_to_refresh(dataset_name):\n+ add_dataset_job(dataset)\n+ logger.info(f\"added a job to refresh '{dataset}'\")\n+ elif split_full_names := list_split_full_names_to_refresh(dataset):\n@@ -35,3 +35,3 @@ def warm_cache(dataset_names: List[str]) -> None:\n- dataset_name = split_full_name[\"dataset_name\"]\n- config_name = split_full_name[\"config_name\"]\n- split_name = split_full_name[\"split_name\"]\n+ dataset = split_full_name[\"dataset\"]\n+ config = split_full_name[\"config\"]\n+ split = split_full_name[\"split\"]\n@@ -39,5 +39,2 @@ def warm_cache(dataset_names: List[str]) -> None:\n- add_split_job(dataset_name, config_name, split_name)\n- logger.info(\n- f\"added a job to refresh split '{split_name}' from dataset '{dataset_name}' with config\"\n- f\" '{config_name}'\"\n- )\n+ add_split_job(dataset, config, split)\n+ logger.info(f\"added a job to refresh split '{split}' from dataset '{dataset}' with config '{config}'\")\n@@ -45 +42 @@ def warm_cache(dataset_names: List[str]) -> None:\n- logger.debug(f\"dataset already in the cache: '{dataset_name}'\")\n+ logger.debug(f\"dataset already in the cache: '{dataset}'\")\ndiff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py\nindex 6508fab7..571c1894 100644\n--- a/services/api/tests/test_app.py\n+++ b/services/api/tests/test_app.py\n@@ -55,20 +54,0 @@ def clean_mongo_databases() -> None:\n-# TODO: move to e2e tests\n-# def test_get_cache_reports(client: TestClient) -> None:\n-# refresh_dataset_split_full_names(\"acronym_identification\")\n-# response = client.get(\"/cache-reports\")\n-# assert response.status_code == 200\n-# json = response.json()\n-# assert \"datasets\" in json\n-# assert \"splits\" in json\n-# datasets = json[\"datasets\"]\n-# assert \"empty\" in datasets\n-# assert \"error\" in datasets\n-# assert \"stale\" in datasets\n-# assert \"valid\" in datasets\n-# assert len(datasets[\"valid\"]) == 1\n-# report = datasets[\"valid\"][0]\n-# assert \"dataset\" in report\n-# assert \"status\" in report\n-# assert \"error\" in report\n-\n-\ndiff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py\nindex e420bbba..9101ae4f 100644\n--- a/services/worker/src/worker/features.py\n+++ b/services/worker/src/worker/features.py\n@@ -23,3 +23,3 @@ def image(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n+ dataset: str,\n+ config: str,\n+ split: str,\n@@ -39 +39 @@ def image(\n- dataset_name, config_name, split_name, row_idx, featureName, f\"image{ext}\", value, assets_base_url\n+ dataset, config, split, row_idx, featureName, f\"image{ext}\", value, assets_base_url\n@@ -50,3 +50,3 @@ def audio(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n+ dataset: str,\n+ config: str,\n+ split: str,\n@@ -70,3 +70 @@ def audio(\n- return create_audio_files(\n- dataset_name, config_name, split_name, row_idx, featureName, array, sampling_rate, assets_base_url\n- )\n+ return create_audio_files(dataset, config, split, row_idx, featureName, array, sampling_rate, assets_base_url)\n@@ -79,3 +77,3 @@ def get_cell_value(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n+ dataset: str,\n+ config: str,\n+ split: str,\n@@ -89 +87 @@ def get_cell_value(\n- return image(dataset_name, config_name, split_name, row_idx, cell, featureName, assets_base_url)\n+ return image(dataset, config, split, row_idx, cell, featureName, assets_base_url)\n@@ -91 +89 @@ def get_cell_value(\n- return audio(dataset_name, config_name, split_name, row_idx, cell, featureName, assets_base_url)\n+ return audio(dataset, config, split, row_idx, cell, featureName, assets_base_url)\ndiff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py\nindex 20838f48..082eb552 100644\n--- a/services/worker/src/worker/main.py\n+++ b/services/worker/src/worker/main.py\n@@ -50,2 +50,2 @@ def process_next_splits_job() -> bool:\n- job_id, dataset_name, retries = get_splits_job(MAX_JOBS_PER_DATASET)\n- logger.debug(f\"job assigned: {job_id} for dataset={dataset_name}\")\n+ job_id, dataset, retries = get_splits_job(MAX_JOBS_PER_DATASET)\n+ logger.debug(f\"job assigned: {job_id} for dataset={dataset}\")\n@@ -59,2 +59,2 @@ def process_next_splits_job() -> bool:\n- logger.info(f\"compute dataset={dataset_name}\")\n- http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN)\n+ logger.info(f\"compute dataset={dataset}\")\n+ http_status, can_retry = refresh_splits(dataset=dataset, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN)\n@@ -67 +67 @@ def process_next_splits_job() -> bool:\n- logger.debug(f\"job finished with {result}: {job_id} for dataset={dataset_name}\")\n+ logger.debug(f\"job finished with {result}: {job_id} for dataset={dataset}\")\n@@ -69,2 +69,2 @@ def process_next_splits_job() -> bool:\n- add_splits_job(dataset_name, retries=retries + 1)\n- logger.debug(f\"job re-enqueued (retries: {retries}) for dataset={dataset_name}\")\n+ add_splits_job(dataset, retries=retries + 1)\n+ logger.debug(f\"job re-enqueued (retries: {retries}) for dataset={dataset}\")\n@@ -79,2 +79,2 @@ def process_next_first_rows_job() -> bool:\n- job_id, dataset_name, config_name, split_name, retries = get_first_rows_job(MAX_JOBS_PER_DATASET)\n- logger.debug(f\"job assigned: {job_id} for dataset={dataset_name} config={config_name} split={split_name}\")\n+ job_id, dataset, config, split, retries = get_first_rows_job(MAX_JOBS_PER_DATASET)\n+ logger.debug(f\"job assigned: {job_id} for dataset={dataset} config={config} split={split}\")\n@@ -88 +88 @@ def process_next_first_rows_job() -> bool:\n- logger.info(f\"compute dataset={dataset_name} config={config_name} split={split_name}\")\n+ logger.info(f\"compute dataset={dataset} config={config} split={split}\")\n@@ -90,3 +90,3 @@ def process_next_first_rows_job() -> bool:\n- dataset_name=dataset_name,\n- config_name=config_name,\n- split_name=split_name,\n+ dataset=dataset,\n+ config=config,\n+ split=split,\n@@ -107,3 +107 @@ def process_next_first_rows_job() -> bool:\n- logger.debug(\n- f\"job finished with {result}: {job_id} for dataset={dataset_name} config={config_name} split={split_name}\"\n- )\n+ logger.debug(f\"job finished with {result}: {job_id} for dataset={dataset} config={config} split={split}\")\n@@ -111,5 +109,2 @@ def process_next_first_rows_job() -> bool:\n- add_first_rows_job(dataset_name, config_name, split_name, retries=retries + 1)\n- logger.debug(\n- f\"job re-enqueued (retries: {retries}) for\"\n- f\" dataset={dataset_name} config={config_name} split={split_name}\"\n- )\n+ add_first_rows_job(dataset, config, split, retries=retries + 1)\n+ logger.debug(f\"job re-enqueued (retries: {retries}) for dataset={dataset} config={config} split={split}\")\ndiff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py\nindex 60e8ac1d..722a07a2 100644\n--- a/services/worker/src/worker/refresh.py\n+++ b/services/worker/src/worker/refresh.py\n@@ -26 +26 @@ logger = logging.getLogger(__name__)\n-def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]:\n+def refresh_splits(dataset: str, hf_endpoint: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]:\n@@ -28,3 +28,3 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- response = get_splits_response(dataset_name, hf_endpoint, hf_token)\n- upsert_splits_response(dataset_name, dict(response), HTTPStatus.OK)\n- logger.debug(f\"dataset={dataset_name} is valid, cache updated\")\n+ response = get_splits_response(dataset, hf_endpoint, hf_token)\n+ upsert_splits_response(dataset, dict(response), HTTPStatus.OK)\n+ logger.debug(f\"dataset={dataset} is valid, cache updated\")\n@@ -32,2 +32,2 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- splits_in_cache = get_dataset_first_rows_response_splits(dataset_name)\n- new_splits = [(s[\"dataset_name\"], s[\"config_name\"], s[\"split_name\"]) for s in response[\"splits\"]]\n+ splits_in_cache = get_dataset_first_rows_response_splits(dataset)\n+ new_splits = [(s[\"dataset\"], s[\"config\"], s[\"split\"]) for s in response[\"splits\"]]\n@@ -39 +39 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- f\" dataset={dataset_name}\"\n+ f\" dataset={dataset}\"\n@@ -43 +43 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- logger.debug(f\"{len(new_splits)} 'first-rows' jobs added for the splits of dataset={dataset_name}\")\n+ logger.debug(f\"{len(new_splits)} 'first-rows' jobs added for the splits of dataset={dataset}\")\n@@ -46 +46 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- logger.debug(f\"the dataset={dataset_name} could not be found, don't update the cache\")\n+ logger.debug(f\"the dataset={dataset} could not be found, don't update the cache\")\n@@ -50 +50 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- dataset_name,\n+ dataset,\n@@ -56 +56 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- logger.debug(f\"splits response for dataset={dataset_name} had an error, cache updated\")\n+ logger.debug(f\"splits response for dataset={dataset} had an error, cache updated\")\n@@ -61 +61 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- dataset_name,\n+ dataset,\n@@ -67 +67 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str]\n- logger.debug(f\"splits response for dataset={dataset_name} had a server error, cache updated\")\n+ logger.debug(f\"splits response for dataset={dataset} had a server error, cache updated\")\n@@ -72,3 +72,3 @@ def refresh_first_rows(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n+ dataset: str,\n+ config: str,\n+ split: str,\n@@ -85,3 +85,3 @@ def refresh_first_rows(\n- dataset_name,\n- config_name,\n- split_name,\n+ dataset,\n+ config,\n+ split,\n@@ -96,2 +96,2 @@ def refresh_first_rows(\n- upsert_first_rows_response(dataset_name, config_name, split_name, dict(response), HTTPStatus.OK)\n- logger.debug(f\"dataset={dataset_name} config={config_name} split={split_name} is valid, cache updated\")\n+ upsert_first_rows_response(dataset, config, split, dict(response), HTTPStatus.OK)\n+ logger.debug(f\"dataset={dataset} config={config} split={split} is valid, cache updated\")\n@@ -101,2 +101 @@ def refresh_first_rows(\n- f\"the dataset={dataset_name}, config {config_name} or split {split_name} could not be found, don't update\"\n- \" the cache\"\n+ f\"the dataset={dataset}, config {config} or split {split} could not be found, don't update the cache\"\n@@ -107,3 +106,3 @@ def refresh_first_rows(\n- dataset_name,\n- config_name,\n- split_name,\n+ dataset,\n+ config,\n+ split,\n@@ -116,2 +115 @@ def refresh_first_rows(\n- f\"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had an error,\"\n- \" cache updated\"\n+ f\"first-rows response for dataset={dataset} config={config} split={split} had an error, cache updated\"\n@@ -123,3 +121,3 @@ def refresh_first_rows(\n- dataset_name,\n- config_name,\n- split_name,\n+ dataset,\n+ config,\n+ split,\n@@ -132 +130 @@ def refresh_first_rows(\n- f\"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had a server\"\n+ f\"first-rows response for dataset={dataset} config={config} split={split} had a server\"\ndiff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py\nindex 92107018..566d2e3c 100644\n--- a/services/worker/src/worker/responses/first_rows.py\n+++ b/services/worker/src/worker/responses/first_rows.py\n@@ -37,3 +36,0 @@ class FeatureItem(TypedDict):\n- dataset: str\n- config: str\n- split: str\n@@ -46,3 +42,0 @@ class RowItem(TypedDict):\n- dataset: str\n- config: str\n- split: str\n@@ -54,0 +49,3 @@ class FirstRowsResponse(TypedDict):\n+ dataset: str\n+ config: str\n+ split: str\n@@ -61,3 +58,3 @@ def get_rows(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n+ dataset: str,\n+ config: str,\n+ split: str,\n@@ -68,4 +65,4 @@ def get_rows(\n- dataset = load_dataset(\n- dataset_name,\n- name=config_name,\n- split=split_name,\n+ ds = load_dataset(\n+ dataset,\n+ name=config,\n+ split=split,\n@@ -76 +73 @@ def get_rows(\n- if not isinstance(dataset, IterableDataset):\n+ if not isinstance(ds, IterableDataset):\n@@ -78 +75 @@ def get_rows(\n- elif not isinstance(dataset, Dataset):\n+ elif not isinstance(ds, Dataset):\n@@ -80 +77 @@ def get_rows(\n- rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n+ rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))\n@@ -136 +133 @@ def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[Ro\n-def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: int, row: Row) -> RowItem:\n+def to_row_item(dataset: str, config: str, split: str, row_idx: int, row: Row) -> RowItem:\n@@ -138,3 +134,0 @@ def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: i\n- \"dataset\": dataset_name,\n- \"config\": config_name,\n- \"split\": split_name,\n@@ -148,3 +142,3 @@ def create_truncated_row_items(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n+ dataset: str,\n+ config: str,\n+ split: str,\n@@ -164 +158 @@ def create_truncated_row_items(\n- row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row)\n+ row_item = to_row_item(dataset, config, split, row_idx, row)\n@@ -180 +174 @@ def create_truncated_row_items(\n- row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row)\n+ row_item = to_row_item(dataset, config, split, row_idx, row)\n@@ -193 +187 @@ def transform_rows(\n- dataset_name: str, config_name: str, split_name: str, rows: List[Row], features: Features, assets_base_url: str\n+ dataset: str, config: str, split: str, rows: List[Row], features: Features, assets_base_url: str\n@@ -198,3 +192,3 @@ def transform_rows(\n- dataset_name,\n- config_name,\n- split_name,\n+ dataset,\n+ config,\n+ split,\n@@ -220 +214 @@ def transform_rows(\n-def to_features_list(dataset_name: str, config_name: str, split_name: str, features: Features) -> List[FeatureItem]:\n+def to_features_list(dataset: str, config: str, split: str, features: Features) -> List[FeatureItem]:\n@@ -224,3 +217,0 @@ def to_features_list(dataset_name: str, config_name: str, split_name: str, featu\n- \"dataset\": dataset_name,\n- \"config\": config_name,\n- \"split\": split_name,\n@@ -236,3 +227,3 @@ def get_first_rows_response(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n+ dataset: str,\n+ config: str,\n+ split: str,\n@@ -251 +242 @@ def get_first_rows_response(\n- dataset_name (`str`):\n+ dataset (`str`):\n@@ -254 +245 @@ def get_first_rows_response(\n- config_name (`str`):\n+ config (`str`):\n@@ -256 +247 @@ def get_first_rows_response(\n- split_name (`str`):\n+ split (`str`):\n@@ -294 +285 @@ def get_first_rows_response(\n- logger.info(f\"get first-rows for dataset={dataset_name} config={config_name} split={split_name}\")\n+ logger.info(f\"get first-rows for dataset={dataset} config={config} split={split}\")\n@@ -302 +293 @@ def get_first_rows_response(\n- splits_response = get_splits_response(dataset_name, hf_endpoint, hf_token)\n+ splits_response = get_splits_response(dataset, hf_endpoint, hf_token)\n@@ -304,3 +295,3 @@ def get_first_rows_response(\n- if config_name not in [split_item[\"config_name\"] for split_item in splits_response[\"splits\"]]:\n- raise ConfigNotFoundError(f\"config {config_name} does not exist for dataset {dataset_name}\")\n- if {\"dataset_name\": dataset_name, \"config_name\": config_name, \"split_name\": split_name} not in [\n+ if config not in [split_item[\"config\"] for split_item in splits_response[\"splits\"]]:\n+ raise ConfigNotFoundError(f\"config {config} does not exist for dataset {dataset}\")\n+ if {\"dataset\": dataset, \"config\": config, \"split\": split} not in [\n@@ -308,3 +299,3 @@ def get_first_rows_response(\n- \"dataset_name\": split_item[\"dataset_name\"],\n- \"config_name\": split_item[\"config_name\"],\n- \"split_name\": split_item[\"split_name\"],\n+ \"dataset\": split_item[\"dataset\"],\n+ \"config\": split_item[\"config\"],\n+ \"split\": split_item[\"split\"],\n@@ -318,2 +309,2 @@ def get_first_rows_response(\n- path=dataset_name,\n- config_name=config_name,\n+ path=dataset,\n+ config_name=config,\n@@ -328,3 +319,3 @@ def get_first_rows_response(\n- dataset_name,\n- name=config_name,\n- split=split_name,\n+ dataset,\n+ name=config,\n+ split=split,\n@@ -346,3 +337 @@ def get_first_rows_response(\n- rows = get_rows(\n- dataset_name, config_name, split_name, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token\n- )\n+ rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token)\n@@ -357,3 +346,3 @@ def get_first_rows_response(\n- dataset_name,\n- config_name,\n- split_name,\n+ dataset,\n+ config,\n+ split,\n@@ -371 +360 @@ def get_first_rows_response(\n- transformed_rows = transform_rows(dataset_name, config_name, split_name, rows, features, assets_base_url)\n+ transformed_rows = transform_rows(dataset, config, split, rows, features, assets_base_url)\n@@ -378,3 +367 @@ def get_first_rows_response(\n- row_items = create_truncated_row_items(\n- dataset_name, config_name, split_name, transformed_rows, rows_max_bytes, rows_min_number\n- )\n+ row_items = create_truncated_row_items(dataset, config, split, transformed_rows, rows_max_bytes, rows_min_number)\n@@ -383 +370,4 @@ def get_first_rows_response(\n- \"features\": to_features_list(dataset_name, config_name, split_name, features),\n+ \"dataset\": dataset,\n+ \"config\": config,\n+ \"split\": split,\n+ \"features\": to_features_list(dataset, config, split, features),\ndiff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py\nindex c0e481bb..1fb2e49f 100644\n--- a/services/worker/src/worker/responses/splits.py\n+++ b/services/worker/src/worker/responses/splits.py\n@@ -19,3 +19,3 @@ class SplitFullName(TypedDict):\n- dataset_name: str\n- config_name: str\n- split_name: str\n+ dataset: str\n+ config: str\n+ split: str\n@@ -33,2 +33,2 @@ class SplitsResponse(TypedDict):\n-def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]:\n- logger.info(f\"get dataset '{dataset_name}' split full names\")\n+def get_dataset_split_full_names(dataset: str, hf_token: Optional[str] = None) -> List[SplitFullName]:\n+ logger.info(f\"get dataset '{dataset}' split full names\")\n@@ -36,3 +36,3 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No\n- {\"dataset_name\": dataset_name, \"config_name\": config_name, \"split_name\": split_name}\n- for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\n- for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n+ {\"dataset\": dataset, \"config\": config, \"split\": split}\n+ for config in get_dataset_config_names(dataset, use_auth_token=hf_token)\n+ for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token)\n@@ -43 +43 @@ def get_splits_response(\n- dataset_name: str,\n+ dataset: str,\n@@ -51 +51 @@ def get_splits_response(\n- dataset_name (`str`):\n+ dataset (`str`):\n@@ -67 +67 @@ def get_splits_response(\n- logger.info(f\"get splits for dataset={dataset_name}\")\n+ logger.info(f\"get splits for dataset={dataset}\")\n@@ -70 +70 @@ def get_splits_response(\n- HfApi(endpoint=hf_endpoint).dataset_info(dataset_name, token=hf_token)\n+ HfApi(endpoint=hf_endpoint).dataset_info(dataset, token=hf_token)\n@@ -75 +75 @@ def get_splits_response(\n- split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n+ split_full_names = get_dataset_split_full_names(dataset, hf_token)\n@@ -82,3 +82,3 @@ def get_splits_response(\n- dataset = split_full_name[\"dataset_name\"]\n- config = split_full_name[\"config_name\"]\n- split = split_full_name[\"split_name\"]\n+ dataset = split_full_name[\"dataset\"]\n+ config = split_full_name[\"config\"]\n+ split = split_full_name[\"split\"]\n@@ -100,3 +100,3 @@ def get_splits_response(\n- \"dataset_name\": dataset,\n- \"config_name\": config,\n- \"split_name\": split,\n+ \"dataset\": dataset,\n+ \"config\": config,\n+ \"split\": split,\ndiff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py\nindex 662122fb..0ea7ef08 100644\n--- a/services/worker/tests/fixtures/hub.py\n+++ b/services/worker/tests/fixtures/hub.py\n@@ -246,3 +246,3 @@ def get_splits_response(dataset: str, num_bytes: float = None, num_examples: int\n- \"dataset_name\": dataset,\n- \"config_name\": config,\n- \"split_name\": split,\n+ \"dataset\": dataset,\n+ \"config\": config,\n+ \"split\": split,\n@@ -258,0 +259,3 @@ def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any])\n+ \"dataset\": dataset,\n+ \"config\": config,\n+ \"split\": split,\n@@ -261,3 +263,0 @@ def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any])\n- \"dataset\": dataset,\n- \"config\": config,\n- \"split\": split,\n@@ -272,3 +271,0 @@ def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any])\n- \"dataset\": dataset,\n- \"config\": config,\n- \"split\": split,\ndiff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py\nindex e4b1220e..f04b9a43 100644\n--- a/services/worker/tests/responses/test_first_rows.py\n+++ b/services/worker/tests/responses/test_first_rows.py\n@@ -38,3 +38,3 @@ def test_number_rows(\n- dataset_name=dataset,\n- config_name=config,\n- split_name=split,\n+ dataset=dataset,\n+ config=config,\n+ split=split,\n@@ -50,3 +50,3 @@ def test_number_rows(\n- dataset_name=dataset,\n- config_name=config,\n- split_name=split,\n+ dataset=dataset,\n+ config=config,\n+ split=split,"}}},{"rowIdx":1661,"cells":{"hash":{"kind":"string","value":"442742795bde7895c9b53d4cc101bf6528a7708f"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T16:38:53","string":"2022-08-24T16:38:53"},"subject":{"kind":"string","value":"test: 💍 enable two tests (#519)"},"diff":{"kind":"string","value":"diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py\nindex f4481ede..e4b1220e 100644\n--- a/services/worker/tests/responses/test_first_rows.py\n+++ b/services/worker/tests/responses/test_first_rows.py\n@@ -9,0 +10 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s\n+@pytest.mark.wip\n@@ -16,3 +17,2 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s\n- # TODO: re-enable both when https://github.com/huggingface/datasets/issues/4875 is fixed\n- # (\"gated\", True, None, None),\n- # (\"private\", True, None, None), # <- TODO: should we disable accessing private datasets?\n+ (\"gated\", True, None, None),\n+ (\"private\", True, None, None), # <- TODO: should we disable accessing private datasets?"}}},{"rowIdx":1662,"cells":{"hash":{"kind":"string","value":"53d5e445c7fbfe4a9061afe39e7d379ba642ffd1"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-24T16:24:59","string":"2022-08-24T16:24:59"},"subject":{"kind":"string","value":"Use fixtures in tests (#515)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/_unit-tests-python.yml b/.github/workflows/_unit-tests-python.yml\nindex 9237554f..0d8f4087 100644\n--- a/.github/workflows/_unit-tests-python.yml\n+++ b/.github/workflows/_unit-tests-python.yml\n@@ -12,2 +11,0 @@ on:\n- hf-token:\n- required: false\n@@ -70 +68,2 @@ jobs:\n- HF_TOKEN: ${{ secrets.hf-token}}\n+ HF_TOKEN: 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\n+ HF_ENDPOINT: https://hub-ci.huggingface.co\ndiff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml\nindex 6caddd49..f464bfb8 100644\n--- a/.github/workflows/s-worker.yml\n+++ b/.github/workflows/s-worker.yml\n@@ -27 +26,0 @@ jobs:\n- hf-token: ${{ secrets.HF_TOKEN }}\ndiff --git a/services/admin/Makefile b/services/admin/Makefile\nindex 1d4bddd1..c6a51eb8 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -5,0 +6 @@ export TEST_COMPOSE_PROJECT_NAME := admin\n+export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co\ndiff --git a/services/admin/tests/conftest.py b/services/admin/tests/conftest.py\nnew file mode 100644\nindex 00000000..88142e18\n--- /dev/null\n+++ b/services/admin/tests/conftest.py\n@@ -0,0 +1,2 @@\n+# Import fixture modules as plugins\n+pytest_plugins = [\"tests.fixtures.hub\"]\ndiff --git a/services/admin/tests/fixtures/__init__.py b/services/admin/tests/fixtures/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/services/admin/tests/fixtures/hub.py b/services/admin/tests/fixtures/hub.py\nnew file mode 100644\nindex 00000000..f6563e85\n--- /dev/null\n+++ b/services/admin/tests/fixtures/hub.py\n@@ -0,0 +1,199 @@\n+# Adapted from https://github.com/huggingface/datasets/blob/main/tests/fixtures/hub.py\n+\n+import time\n+from contextlib import contextmanager, suppress\n+from typing import Dict, Iterable, Literal, Optional, TypedDict\n+\n+import pytest\n+import requests\n+from huggingface_hub.hf_api import ( # type: ignore\n+ REPO_TYPES,\n+ REPO_TYPES_URL_PREFIXES,\n+ HfApi,\n+ HfFolder,\n+ _raise_for_status,\n+)\n+\n+# see https://github.com/huggingface/moon-landing/blob/main/server/scripts/staging-seed-db.ts\n+CI_HUB_USER = \"__DUMMY_DATASETS_SERVER_USER__\"\n+CI_HUB_USER_API_TOKEN = \"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\"\n+\n+CI_HUB_ENDPOINT = \"https://hub-ci.huggingface.co\"\n+CI_HUB_DATASETS_URL = CI_HUB_ENDPOINT + \"/datasets/{repo_id}/resolve/{revision}/{path}\"\n+\n+\n+def update_repo_settings(\n+ hf_api: HfApi,\n+ repo_id: str,\n+ *,\n+ private: Optional[bool] = None,\n+ gated: Optional[bool] = None,\n+ token: Optional[str] = None,\n+ organization: Optional[str] = None,\n+ repo_type: Optional[str] = None,\n+ name: str = None,\n+) -> Dict[str, bool]:\n+ \"\"\"Update the settings of a repository.\n+ Args:\n+ repo_id (`str`, *optional*):\n+ A namespace (user or an organization) and a repo name separated\n+ by a `/`.\n+ \n+ Version added: 0.5\n+ \n+ private (`bool`, *optional*, defaults to `None`):\n+ Whether the repo should be private.\n+ gated (`bool`, *optional*, defaults to `None`):\n+ Whether the repo should request user access.\n+ token (`str`, *optional*):\n+ An authentication token (See https://huggingface.co/settings/token)\n+ repo_type (`str`, *optional*):\n+ Set to `\"dataset\"` or `\"space\"` if uploading to a dataset or\n+ space, `None` or `\"model\"` if uploading to a model. Default is\n+ `None`.\n+ Returns:\n+ The HTTP response in json.\n+ \n+ Raises the following errors:\n+ - [`~huggingface_hub.utils.RepositoryNotFoundError`]\n+ If the repository to download from cannot be found. This may be because it doesn't exist,\n+ or because it is set to `private` and you do not have access.\n+ \n+ \"\"\"\n+ if repo_type not in REPO_TYPES:\n+ raise ValueError(\"Invalid repo type\")\n+\n+ organization, name = repo_id.split(\"/\") if \"/\" in repo_id else (None, repo_id)\n+\n+ token, name = hf_api._validate_or_retrieve_token(token, name, function_name=\"update_repo_settings\")\n+\n+ if organization is None:\n+ namespace = hf_api.whoami(token)[\"name\"]\n+ else:\n+ namespace = organization\n+\n+ path_prefix = f\"{hf_api.endpoint}/api/\"\n+ if repo_type in REPO_TYPES_URL_PREFIXES:\n+ path_prefix += REPO_TYPES_URL_PREFIXES[repo_type]\n+\n+ path = f\"{path_prefix}{namespace}/{name}/settings\"\n+\n+ json = {}\n+ if private is not None:\n+ json[\"private\"] = private\n+ if gated is not None:\n+ json[\"gated\"] = gated\n+\n+ r = requests.put(\n+ path,\n+ headers={\"authorization\": f\"Bearer {token}\"},\n+ json=json,\n+ )\n+ _raise_for_status(r)\n+ return r.json()\n+\n+\n+@pytest.fixture\n+def set_ci_hub_access_token() -> Iterable[None]:\n+ _api = HfApi(endpoint=CI_HUB_ENDPOINT)\n+ _api.set_access_token(CI_HUB_USER_API_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_API_TOKEN)\n+ yield\n+ HfFolder.delete_token()\n+ _api.unset_access_token()\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def hf_api():\n+ return HfApi(endpoint=CI_HUB_ENDPOINT)\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def hf_token(hf_api: HfApi) -> Iterable[str]:\n+ hf_api.set_access_token(CI_HUB_USER_API_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_API_TOKEN)\n+ yield CI_HUB_USER_API_TOKEN\n+ with suppress(requests.exceptions.HTTPError):\n+ hf_api.unset_access_token()\n+\n+\n+@pytest.fixture\n+def cleanup_repo(hf_api: HfApi):\n+ def _cleanup_repo(repo_id):\n+ hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_API_TOKEN, repo_type=\"dataset\")\n+\n+ return _cleanup_repo\n+\n+\n+@pytest.fixture\n+def temporary_repo(cleanup_repo):\n+ @contextmanager\n+ def _temporary_repo(repo_id):\n+ try:\n+ yield repo_id\n+ finally:\n+ cleanup_repo(repo_id)\n+\n+ return _temporary_repo\n+\n+\n+def create_unique_repo_name(prefix: str, user: str) -> str:\n+ repo_name = f\"{prefix}-{int(time.time() * 10e3)}\"\n+ return f\"{user}/{repo_name}\"\n+\n+\n+def create_hf_dataset_repo(\n+ hf_api: HfApi, hf_token: str, prefix: str, *, private=False, gated=False, user=CI_HUB_USER\n+) -> str:\n+ repo_id = create_unique_repo_name(prefix, user)\n+ hf_api.create_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\", private=private)\n+ if gated:\n+ update_repo_settings(hf_api, repo_id, token=hf_token, gated=gated, repo_type=\"dataset\")\n+ return repo_id\n+\n+\n+# https://docs.pytest.org/en/6.2.x/fixture.html#yield-fixtures-recommended\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_public_dataset_repo_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]:\n+ repo_id = create_hf_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix=\"repo_empty\")\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_gated_dataset_repo_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]:\n+ repo_id = create_hf_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix=\"repo_empty\", gated=True)\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_private_dataset_repo_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]:\n+ repo_id = create_hf_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix=\"repo_empty\", private=True)\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+class DatasetRepos(TypedDict):\n+ public: str\n+ private: str\n+ gated: str\n+\n+\n+DatasetReposType = Literal[\"public\", \"private\", \"gated\"]\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_dataset_repos_csv_data(\n+ hf_public_dataset_repo_empty,\n+ hf_gated_dataset_repo_empty,\n+ hf_private_dataset_repo_empty,\n+) -> DatasetRepos:\n+ return {\n+ \"public\": hf_public_dataset_repo_empty,\n+ \"private\": hf_private_dataset_repo_empty,\n+ \"gated\": hf_gated_dataset_repo_empty,\n+ }\ndiff --git a/services/admin/tests/scripts/__init__.py b/services/admin/tests/scripts/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py\nindex bb5bfea1..75737eda 100644\n--- a/services/admin/tests/scripts/test_refresh_cache_canonical.py\n+++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py\n@@ -2,0 +3 @@ from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names\n+from ..fixtures.hub import DatasetRepos\n@@ -4,2 +5,2 @@ from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names\n-# get_dataset_names\n-def test_get_hf_canonical_dataset_names() -> None:\n+\n+def test_get_hf_canonical_dataset_names(hf_dataset_repos_csv_data: DatasetRepos) -> None:\n@@ -7,3 +8,6 @@ def test_get_hf_canonical_dataset_names() -> None:\n- assert len(dataset_names) > 100\n- assert \"glue\" in dataset_names\n- assert \"Helsinki-NLP/tatoeba_mt\" not in dataset_names\n+ assert len(dataset_names) >= 0\n+ # ^ TODO: have some canonical datasets in the hub-ci instance\n+ # with the current fixture user we are not able to create canonical datasets\n+ assert hf_dataset_repos_csv_data[\"public\"] not in dataset_names\n+ assert hf_dataset_repos_csv_data[\"gated\"] not in dataset_names\n+ assert hf_dataset_repos_csv_data[\"private\"] not in dataset_names\ndiff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py\nindex 589b784f..effe08f7 100644\n--- a/services/admin/tests/scripts/test_warm_cache.py\n+++ b/services/admin/tests/scripts/test_warm_cache.py\n@@ -2,0 +3,2 @@ from admin.scripts.warm_cache import get_hf_dataset_names\n+from ..fixtures.hub import DatasetRepos\n+\n@@ -5 +7 @@ from admin.scripts.warm_cache import get_hf_dataset_names\n-def test_get_hf_dataset_names() -> None:\n+def test_get_hf_dataset_names(hf_dataset_repos_csv_data: DatasetRepos) -> None:\n@@ -7,3 +9,4 @@ def test_get_hf_dataset_names() -> None:\n- assert len(dataset_names) > 1000\n- assert \"glue\" in dataset_names\n- assert \"Helsinki-NLP/tatoeba_mt\" in dataset_names\n+ assert len(dataset_names) >= 2\n+ assert hf_dataset_repos_csv_data[\"public\"] in dataset_names\n+ assert hf_dataset_repos_csv_data[\"gated\"] in dataset_names\n+ assert hf_dataset_repos_csv_data[\"private\"] not in dataset_names\ndiff --git a/services/api/Makefile b/services/api/Makefile\nindex eeb62016..5eebae2d 100644\n--- a/services/api/Makefile\n+++ b/services/api/Makefile\n@@ -5,0 +6 @@ export TEST_COMPOSE_PROJECT_NAME := api\n+export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co\ndiff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py\nindex aa97236e..6508fab7 100644\n--- a/services/api/tests/test_app.py\n+++ b/services/api/tests/test_app.py\n@@ -102,18 +101,0 @@ def test_get_is_valid(client: TestClient) -> None:\n- # TODO: move to e2e tests\n- # dataset = \"acronym_identification\"\n- # split_full_names = refresh_dataset_split_full_names(dataset)\n- # for split_full_name in split_full_names:\n- # refresh_split(\n- # split_full_name[\"dataset_name\"],\n- # split_full_name[\"config_name\"],\n- # split_full_name[\"split_name\"],\n- # rows_max_bytes=ROWS_MAX_BYTES,\n- # rows_max_number=ROWS_MAX_NUMBER,\n- # rows_min_number=ROWS_MIN_NUMBER,\n- # )\n- # response = client.get(\"/is-valid\", params={\"dataset\": \"acronym_identification\"})\n- # assert response.status_code == 200\n- # json = response.json()\n- # assert \"valid\" in json\n- # assert json[\"valid\"] is True\n-\n@@ -162,33 +143,0 @@ def test_get_splits(client: TestClient) -> None:\n- # TODO: move to e2e tests\n- # dataset = \"acronym_identification\"\n- # refresh_dataset_split_full_names(dataset)\n- # response = client.get(\"/splits\", params={\"dataset\": dataset})\n- # assert response.status_code == 200\n- # json = response.json()\n- # splitItems = json[\"splits\"]\n- # assert len(splitItems) == 3\n- # split = splitItems[0]\n- # assert split[\"dataset\"] == dataset\n- # assert split[\"config\"] == \"default\"\n- # assert split[\"split\"] == \"train\"\n-\n- # # uses the fallback to call \"builder._split_generators\"\n- # # while https://github.com/huggingface/datasets/issues/2743\n- # dataset = \"hda_nli_hindi\"\n- # refresh_dataset_split_full_names(dataset)\n- # response = client.get(\"/splits\", params={\"dataset\": dataset})\n- # assert response.status_code == 200\n- # json = response.json()\n- # splits = [s[\"split\"] for s in json[\"splits\"]]\n- # assert len(splits) == 3\n- # assert \"train\" in splits\n- # assert \"validation\" in splits\n- # assert \"test\" in splits\n-\n- # # not found\n- # dataset = \"doesnotexist\"\n- # with pytest.raises(Status400Error):\n- # refresh_dataset_split_full_names(dataset)\n- # response = client.get(\"/splits\", params={\"dataset\": dataset})\n- # assert response.status_code == 400\n-\n@@ -241,37 +189,0 @@ def test_get_rows(client: TestClient) -> None:\n- # TODO: move to e2e tests\n- # # dataset = \"acronym_identification\"\n- # # config = \"default\"\n- # # split = \"train\"\n- # # refresh_split(\n- # # dataset,\n- # # config,\n- # # split,\n- # # rows_max_bytes=ROWS_MAX_BYTES,\n- # # rows_max_number=ROWS_MAX_NUMBER,\n- # # rows_min_number=ROWS_MIN_NUMBER,\n- # # )\n- # # response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n- # # assert response.status_code == 200\n- # # json = response.json()\n- # # rowItems = json[\"rows\"]\n- # # assert len(rowItems) > 3\n- # # rowItem = rowItems[0]\n- # # assert rowItem[\"dataset\"] == dataset\n- # # assert rowItem[\"config\"] == config\n- # # assert rowItem[\"split\"] == split\n- # # assert rowItem[\"row\"][\"tokens\"][0] == \"What\"\n-\n- # # assert len(json[\"columns\"]) == 3\n- # # column_item = json[\"columns\"][0]\n- # # assert \"dataset\" in column_item\n- # # assert \"config\" in column_item\n- # # assert \"column_idx\" in column_item\n- # # column = column_item[\"column\"]\n- # # assert column[\"name\"] == \"id\"\n- # # assert column[\"type\"] == \"STRING\"\n-\n- # missing parameter\n- # response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config})\n- # assert response.status_code == 400\n- # response = client.get(\"/rows\", params={\"dataset\": dataset})\n- # assert response.status_code == 400\n@@ -286,41 +197,0 @@ def test_get_rows(client: TestClient) -> None:\n-# TODO: move to e2e tests\n-# def test_datetime_content(client: TestClient) -> None:\n-# dataset = \"allenai/c4\"\n-# config = \"allenai--c4\"\n-# split = \"train\"\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# assert response.status_code == 400\n-\n-# refresh_split(\n-# dataset,\n-# config,\n-# split,\n-# rows_max_bytes=ROWS_MAX_BYTES,\n-# rows_max_number=ROWS_MAX_NUMBER,\n-# rows_min_number=ROWS_MIN_NUMBER,\n-# )\n-\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# assert response.status_code == 200\n-\n-# TODO: move to e2e tests\n-# def test_bytes_limit(client: TestClient) -> None:\n-# dataset = \"edbeeching/decision_transformer_gym_replay\"\n-# config = \"hopper-expert-v2\"\n-# split = \"train\"\n-# refresh_split(\n-# dataset,\n-# config,\n-# split,\n-# rows_max_bytes=ROWS_MAX_BYTES,\n-# rows_max_number=ROWS_MAX_NUMBER,\n-# rows_min_number=ROWS_MIN_NUMBER,\n-# )\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# assert response.status_code == 200\n-# # json = response.json()\n-# # rowItems = json[\"rows\"]\n-# # assert len(rowItems) == 3\n-# # TODO: re-enable and fix the test after the refactoring\n-\n-\n@@ -389,94 +259,0 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None:\n-# def test_split_cache_refreshing(client: TestClient) -> None:\n-# dataset = \"acronym_identification\"\n-# config = \"default\"\n-# split = \"train\"\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# assert response.json()[\"message\"] == \"The split does not exist.\"\n-# add_split_job(dataset, config, split)\n-# create_or_mark_split_as_stale({\"dataset_name\": dataset, \"config_name\": config, \"split_name\": split}, 0)\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# assert response.json()[\"message\"] == \"The split is being processed. Retry later.\"\n-\n-\n-# TODO: move to e2e tests\n-# def test_error_messages(client: TestClient) -> None:\n-# # https://github.com/huggingface/datasets-server/issues/196\n-# dataset = \"acronym_identification\"\n-# config = \"default\"\n-# split = \"train\"\n-\n-# response = client.get(\"/splits\", params={\"dataset\": dataset})\n-# # ^ equivalent to\n-# # curl http://localhost:8000/splits\\?dataset\\=acronym_identification\n-# assert response.json()[\"message\"] == \"The dataset does not exist.\"\n-\n-# client.post(\"/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n-# # ^ equivalent to\n-# # curl -X POST http://localhost:8000/webhook -H 'Content-Type: application/json' \\\n-# # -d '{\"update\": \"datasets/acronym_identification\"}'\n-\n-# response = client.get(\"/splits\", params={\"dataset\": dataset})\n-# # ^ equivalent to\n-# # curl http://localhost:8000/splits\\?dataset\\=acronym_identification\n-# assert response.json()[\"message\"] == \"The dataset is being processed. Retry later.\"\n-\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# # ^ equivalent to\n-# # curl http://localhost:8000/rows\\?dataset\\=acronym_identification\\&config\\=default\\&split\\=train\n-# assert response.json()[\"message\"] == \"The dataset is being processed. Retry later.\"\n-\n-# # simulate dataset worker\n-# # ^ equivalent to\n-# # WORKER_QUEUE=datasets make worker\n-# # part A\n-# job_id, dataset_name = get_dataset_job()\n-# split_full_names = refresh_dataset_split_full_names(dataset_name=dataset_name)\n-\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# # ^ equivalent to\n-# # curl http://localhost:8000/rows\\?dataset\\=acronym_identification\\&config\\=default\\&split\\=train\n-# assert response.status_code == 500\n-# assert response.json()[\"message\"] == \"The split cache is empty but no job has been launched.\"\n-\n-# # part B\n-# for split_full_name in split_full_names:\n-# add_split_job(split_full_name[\"dataset_name\"], split_full_name[\"config_name\"], split_full_name[\"split_name\"])\n-# finish_dataset_job(job_id, success=True)\n-\n-# response = client.get(\"/splits\", params={\"dataset\": dataset})\n-# # ^ equivalent to\n-# # curl http://localhost:8000/splits\\?dataset\\=acronym_identification\n-# assert response.status_code == 200\n-# assert response.json()[\"splits\"][0] == {\n-# \"dataset\": dataset,\n-# \"config\": config,\n-# \"split\": split,\n-# \"num_bytes\": None,\n-# \"num_examples\": None,\n-# }\n-\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# # ^ equivalent to\n-# # curl http://localhost:8000/rows\\?dataset\\=acronym_identification\\&config\\=default\\&split\\=train\n-# assert response.json()[\"message\"] == \"The split is being processed. Retry later.\"\n-\n-# refresh_split(\n-# dataset_name=dataset,\n-# config_name=config,\n-# split_name=split,\n-# rows_max_bytes=ROWS_MAX_BYTES,\n-# rows_max_number=ROWS_MAX_NUMBER,\n-# rows_min_number=ROWS_MIN_NUMBER,\n-# )\n-# finish_split_job(job_id, success=True)\n-# # ^ equivalent to\n-# # WORKER_QUEUE=splits make worker\n-\n-# response = client.get(\"/rows\", params={\"dataset\": dataset, \"config\": config, \"split\": split})\n-# # ^ equivalent to\n-# # curl http://localhost:8000/rows\\?dataset\\=acronym_identification\\&config\\=default\\&split\\=train\n-\n-# assert response.status_code == 200\n-# assert len(response.json()[\"rows\"]) > 0\n-\n-\n@@ -493,3 +269,0 @@ def test_metrics(client: TestClient) -> None:\n- # Disable for now - see https://github.com/huggingface/datasets-server/issues/250#issuecomment-1135561566\n- # assert 'queue_jobs_total{queue=\"datasets\",status=\"waiting\"}' in metrics\n- # assert 'cache_entries_total{cache=\"datasets\",status=\"empty\"}' in metrics\ndiff --git a/services/worker/Makefile b/services/worker/Makefile\nindex aae0dd9d..45aeeaf7 100644\n--- a/services/worker/Makefile\n+++ b/services/worker/Makefile\n@@ -6,0 +7,2 @@ export TEST_COMPOSE_PROJECT_NAME := worker\n+export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co\n+export TEST_HF_TOKEN := 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\ndiff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml\nindex 3ac114b2..c9766319 100644\n--- a/services/worker/pyproject.toml\n+++ b/services/worker/pyproject.toml\n@@ -59,0 +60 @@ requires = [\"poetry-core>=1.0.0\"]\n+addopts = \"-k 'not deprecated'\"\n@@ -60,0 +62,5 @@ filterwarnings = [\"ignore::DeprecationWarning\"]\n+markers = [\n+ \"deprecated: tests on deprecated code (deselect with '-m \\\"not deprecated\\\"')\",\n+ \"real_dataset: tests on real datasets (from the Hub)\",\n+ \"wip: tests being developed\"\n+]\ndiff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py\nindex 7ab1fcf9..8ec65149 100644\n--- a/services/worker/tests/conftest.py\n+++ b/services/worker/tests/conftest.py\n@@ -2 +1,0 @@ import os\n-from pathlib import Path\n@@ -4 +3 @@ from pathlib import Path\n-import pytest\n+from .utils import HF_ENDPOINT\n@@ -6,6 +5,2 @@ import pytest\n-from ._utils import HF_ENDPOINT\n-\n-\n-@pytest.fixture(scope=\"session\")\n-def config():\n- return {\"image_file\": str(Path(__file__).resolve().parent / \"data\" / \"test_image_rgb.jpg\")}\n+# Import fixture modules as plugins\n+pytest_plugins = [\"tests.fixtures.datasets\", \"tests.fixtures.files\", \"tests.fixtures.hub\"]\ndiff --git a/services/worker/tests/deprecated/models/test_column.py b/services/worker/tests/deprecated/models/test_column.py\nindex bece4baf..68675ba5 100644\n--- a/services/worker/tests/deprecated/models/test_column.py\n+++ b/services/worker/tests/deprecated/models/test_column.py\n@@ -0,0 +1,2 @@\n+import pytest\n+\n@@ -5,0 +8,2 @@ from worker.deprecated.models.info import get_info\n+pytestmark = pytest.mark.deprecated\n+\ndiff --git a/services/worker/tests/deprecated/models/test_dataset.py b/services/worker/tests/deprecated/models/test_dataset.py\nindex 6647c7ff..8d225b90 100644\n--- a/services/worker/tests/deprecated/models/test_dataset.py\n+++ b/services/worker/tests/deprecated/models/test_dataset.py\n@@ -6 +6,2 @@ from worker.deprecated.models.dataset import get_dataset_split_full_names\n-# from ..._utils import HF_TOKEN\n+# from ...utils import HF_TOKEN\n+pytestmark = pytest.mark.deprecated\ndiff --git a/services/worker/tests/deprecated/models/test_info.py b/services/worker/tests/deprecated/models/test_info.py\nindex 8c2a3ac2..b0c4c0e3 100644\n--- a/services/worker/tests/deprecated/models/test_info.py\n+++ b/services/worker/tests/deprecated/models/test_info.py\n@@ -0,0 +1,2 @@\n+import pytest\n+\n@@ -2,0 +5,2 @@ from worker.deprecated.models.info import get_info\n+pytestmark = pytest.mark.deprecated\n+\ndiff --git a/services/worker/tests/deprecated/models/test_row.py b/services/worker/tests/deprecated/models/test_row.py\nindex b3275c76..ce902d6d 100644\n--- a/services/worker/tests/deprecated/models/test_row.py\n+++ b/services/worker/tests/deprecated/models/test_row.py\n@@ -0,0 +1 @@\n+import pytest\n@@ -5 +6,3 @@ from worker.deprecated.models.row import get_rows\n-from ..._utils import ROWS_MAX_NUMBER\n+from ...utils import ROWS_MAX_NUMBER\n+\n+pytestmark = pytest.mark.deprecated\ndiff --git a/services/worker/tests/deprecated/models/test_split.py b/services/worker/tests/deprecated/models/test_split.py\nindex 9fdce8d2..e53d3120 100644\n--- a/services/worker/tests/deprecated/models/test_split.py\n+++ b/services/worker/tests/deprecated/models/test_split.py\n@@ -1 +1 @@\n-# import pandas # type: ignore\n+import pytest\n@@ -5 +5,4 @@ from worker.deprecated.models.split import get_split\n-from ..._utils import HF_TOKEN, ROWS_MAX_NUMBER\n+from ...utils import HF_TOKEN, ROWS_MAX_NUMBER\n+\n+# import pandas # type: ignore\n+\n@@ -8,0 +12,2 @@ from ..._utils import HF_TOKEN, ROWS_MAX_NUMBER\n+pytestmark = pytest.mark.deprecated\n+\ndiff --git a/services/worker/tests/deprecated/test_main.py b/services/worker/tests/deprecated/test_main.py\nindex 6d8de6bd..59ae8d26 100644\n--- a/services/worker/tests/deprecated/test_main.py\n+++ b/services/worker/tests/deprecated/test_main.py\n@@ -10 +10,3 @@ from worker.main import process_next_dataset_job, process_next_split_job\n-from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL\n+from ..utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL\n+\n+pytestmark = pytest.mark.deprecated\ndiff --git a/services/worker/tests/deprecated/test_refresh.py b/services/worker/tests/deprecated/test_refresh.py\nindex 01d3d57b..eda00e09 100644\n--- a/services/worker/tests/deprecated/test_refresh.py\n+++ b/services/worker/tests/deprecated/test_refresh.py\n@@ -12 +12,3 @@ from worker.deprecated.refresh import refresh_dataset, refresh_split\n-from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL\n+from ..utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL\n+\n+pytestmark = pytest.mark.deprecated\ndiff --git a/services/worker/tests/fixtures/__init__.py b/services/worker/tests/fixtures/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/services/worker/tests/data/test_image_rgb.jpg b/services/worker/tests/fixtures/data/test_image_rgb.jpg\nsimilarity index 100%\nrename from services/worker/tests/data/test_image_rgb.jpg\nrename to services/worker/tests/fixtures/data/test_image_rgb.jpg\ndiff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py\nnew file mode 100644\nindex 00000000..d2c42173\n--- /dev/null\n+++ b/services/worker/tests/fixtures/datasets.py\n@@ -0,0 +1,85 @@\n+import datetime\n+from pathlib import Path\n+from typing import Any, Dict\n+\n+import numpy as np\n+import pandas as pd # type: ignore\n+import pytest\n+from datasets import (\n+ Array2D,\n+ Array3D,\n+ Array4D,\n+ Array5D,\n+ Audio,\n+ ClassLabel,\n+ Dataset,\n+ Features,\n+ Image,\n+ Sequence,\n+ Translation,\n+ TranslationVariableLanguages,\n+ Value,\n+)\n+from datasets.features.features import FeatureType\n+\n+\n+def value(content: Any, dtype: Any) -> Dataset:\n+ return Dataset.from_pandas(pd.DataFrame({\"col\": [content]}, dtype=dtype))\n+\n+\n+def other(content: Any, feature_type: FeatureType = None) -> Dataset:\n+ return (\n+ Dataset.from_dict({\"col\": [content]})\n+ if feature_type is None\n+ else Dataset.from_dict({\"col\": [content]}, features=Features({\"col\": feature_type}))\n+ )\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def datasets() -> Dict[str, Dataset]:\n+ sampling_rate = 16_000\n+ return {\n+ # Value feature\n+ \"null\": value(None, None),\n+ \"bool\": value(False, pd.BooleanDtype()),\n+ \"int8\": value(-7, pd.Int8Dtype()),\n+ \"int16\": value(-7, pd.Int16Dtype()),\n+ \"int32\": value(-7, pd.Int32Dtype()),\n+ \"int64\": value(-7, pd.Int64Dtype()),\n+ \"uint8\": value(7, pd.UInt8Dtype()),\n+ \"uint16\": value(7, pd.UInt16Dtype()),\n+ \"uint32\": value(7, pd.UInt32Dtype()),\n+ \"uint64\": value(7, pd.UInt64Dtype()),\n+ \"float16\": value(-3.14, np.float16),\n+ \"float32\": value(-3.14, np.float32),\n+ \"float64\": value(-3.14, np.float64),\n+ \"time\": value(datetime.time(1, 1, 1), None),\n+ \"timestamp_1\": value(pd.Timestamp(2020, 1, 1), None),\n+ \"timestamp_2\": value(pd.Timestamp(1513393355.5, unit=\"s\"), None),\n+ \"timestamp_3\": value(pd.Timestamp(1513393355500, unit=\"ms\"), None),\n+ \"timestamp_tz\": value(pd.Timestamp(year=2020, month=1, day=1, tz=\"US/Pacific\"), None),\n+ \"string\": value(\"a string\", pd.StringDtype()),\n+ # other types of features\n+ \"class_label\": other(\"positive\", ClassLabel(names=[\"negative\", \"positive\"])),\n+ \"dict\": other({\"a\": 0}, None),\n+ \"list\": other([{\"a\": 0}], None),\n+ \"sequence_simple\": other([0], None),\n+ \"sequence\": other([{\"a\": 0}], Sequence(feature={\"a\": Value(dtype=\"int64\")})),\n+ \"sequence_audio\": other(\n+ [\n+ {\"array\": [0.1, 0.2, 0.3], \"sampling_rate\": 16_000},\n+ ],\n+ Sequence(feature=Audio()),\n+ ),\n+ \"array2d\": other(np.zeros((2, 2), dtype=\"float32\"), Array2D(shape=(2, 2), dtype=\"float32\")),\n+ \"array3d\": other(np.zeros((2, 2, 2), dtype=\"float32\"), Array3D(shape=(2, 2, 2), dtype=\"float32\")),\n+ \"array4d\": other(np.zeros((2, 2, 2, 2), dtype=\"float32\"), Array4D(shape=(2, 2, 2, 2), dtype=\"float32\")),\n+ \"array5d\": other(np.zeros((2, 2, 2, 2, 2), dtype=\"float32\"), Array5D(shape=(2, 2, 2, 2, 2), dtype=\"float32\")),\n+ \"audio\": other({\"array\": [0.1, 0.2, 0.3], \"sampling_rate\": sampling_rate}, Audio(sampling_rate=sampling_rate)),\n+ \"image\": other(str(Path(__file__).resolve().parent / \"data\" / \"test_image_rgb.jpg\"), Image()),\n+ \"translation\": other({\"en\": \"the cat\", \"fr\": \"le chat\"}, Translation(languages=[\"en\", \"fr\"])),\n+ \"translation_variable_languages\": other(\n+ {\"en\": \"the cat\", \"fr\": [\"le chat\", \"la chatte\"]},\n+ TranslationVariableLanguages(languages=[\"en\", \"fr\"]),\n+ ),\n+ }\ndiff --git a/services/worker/tests/fixtures/files.py b/services/worker/tests/fixtures/files.py\nnew file mode 100644\nindex 00000000..97a6b2e3\n--- /dev/null\n+++ b/services/worker/tests/fixtures/files.py\n@@ -0,0 +1,21 @@\n+import csv\n+\n+import pytest\n+\n+DATA = [\n+ {\"col_1\": \"0\", \"col_2\": 0, \"col_3\": 0.0},\n+ {\"col_1\": \"1\", \"col_2\": 1, \"col_3\": 1.0},\n+ {\"col_1\": \"2\", \"col_2\": 2, \"col_3\": 2.0},\n+ {\"col_1\": \"3\", \"col_2\": 3, \"col_3\": 3.0},\n+]\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def csv_path(tmp_path_factory: pytest.TempPathFactory) -> str:\n+ path = str(tmp_path_factory.mktemp(\"data\") / \"dataset.csv\")\n+ with open(path, \"w\", newline=\"\") as f:\n+ writer = csv.DictWriter(f, fieldnames=[\"col_1\", \"col_2\", \"col_3\"])\n+ writer.writeheader()\n+ for item in DATA:\n+ writer.writerow(item)\n+ return path\ndiff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py\nnew file mode 100644\nindex 00000000..662122fb\n--- /dev/null\n+++ b/services/worker/tests/fixtures/hub.py\n@@ -0,0 +1,389 @@\n+# Adapted from https://github.com/huggingface/datasets/blob/main/tests/fixtures/hub.py\n+\n+import time\n+from contextlib import contextmanager, suppress\n+from pathlib import Path\n+from typing import Any, Dict, Iterable, List, Optional, TypedDict\n+\n+import pytest\n+import requests\n+from datasets import Dataset\n+from huggingface_hub.hf_api import ( # type: ignore\n+ REPO_TYPES,\n+ REPO_TYPES_URL_PREFIXES,\n+ HfApi,\n+ HfFolder,\n+ _raise_for_status,\n+)\n+\n+from ..utils import get_default_config_split\n+\n+# see https://github.com/huggingface/moon-landing/blob/main/server/scripts/staging-seed-db.ts\n+CI_HUB_USER = \"__DUMMY_DATASETS_SERVER_USER__\"\n+CI_HUB_USER_API_TOKEN = \"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\"\n+\n+CI_HUB_ENDPOINT = \"https://hub-ci.huggingface.co\"\n+CI_HUB_DATASETS_URL = CI_HUB_ENDPOINT + \"/datasets/{repo_id}/resolve/{revision}/{path}\"\n+\n+\n+def update_repo_settings(\n+ hf_api: HfApi,\n+ repo_id: str,\n+ *,\n+ private: Optional[bool] = None,\n+ gated: Optional[bool] = None,\n+ token: Optional[str] = None,\n+ organization: Optional[str] = None,\n+ repo_type: Optional[str] = None,\n+ name: str = None,\n+) -> Dict[str, bool]:\n+ \"\"\"Update the settings of a repository.\n+ Args:\n+ repo_id (`str`, *optional*):\n+ A namespace (user or an organization) and a repo name separated\n+ by a `/`.\n+ \n+ Version added: 0.5\n+ \n+ private (`bool`, *optional*, defaults to `None`):\n+ Whether the repo should be private.\n+ gated (`bool`, *optional*, defaults to `None`):\n+ Whether the repo should request user access.\n+ token (`str`, *optional*):\n+ An authentication token (See https://huggingface.co/settings/token)\n+ repo_type (`str`, *optional*):\n+ Set to `\"dataset\"` or `\"space\"` if uploading to a dataset or\n+ space, `None` or `\"model\"` if uploading to a model. Default is\n+ `None`.\n+ Returns:\n+ The HTTP response in json.\n+ \n+ Raises the following errors:\n+ - [`~huggingface_hub.utils.RepositoryNotFoundError`]\n+ If the repository to download from cannot be found. This may be because it doesn't exist,\n+ or because it is set to `private` and you do not have access.\n+ \n+ \"\"\"\n+ if repo_type not in REPO_TYPES:\n+ raise ValueError(\"Invalid repo type\")\n+\n+ organization, name = repo_id.split(\"/\") if \"/\" in repo_id else (None, repo_id)\n+\n+ token, name = hf_api._validate_or_retrieve_token(token, name, function_name=\"update_repo_settings\")\n+\n+ if organization is None:\n+ namespace = hf_api.whoami(token)[\"name\"]\n+ else:\n+ namespace = organization\n+\n+ path_prefix = f\"{hf_api.endpoint}/api/\"\n+ if repo_type in REPO_TYPES_URL_PREFIXES:\n+ path_prefix += REPO_TYPES_URL_PREFIXES[repo_type]\n+\n+ path = f\"{path_prefix}{namespace}/{name}/settings\"\n+\n+ json = {}\n+ if private is not None:\n+ json[\"private\"] = private\n+ if gated is not None:\n+ json[\"gated\"] = gated\n+\n+ r = requests.put(\n+ path,\n+ headers={\"authorization\": f\"Bearer {token}\"},\n+ json=json,\n+ )\n+ _raise_for_status(r)\n+ return r.json()\n+\n+\n+@pytest.fixture\n+def set_ci_hub_access_token() -> Iterable[None]:\n+ _api = HfApi(endpoint=CI_HUB_ENDPOINT)\n+ _api.set_access_token(CI_HUB_USER_API_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_API_TOKEN)\n+ yield\n+ HfFolder.delete_token()\n+ _api.unset_access_token()\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def hf_api():\n+ return HfApi(endpoint=CI_HUB_ENDPOINT)\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def hf_token(hf_api: HfApi) -> Iterable[str]:\n+ hf_api.set_access_token(CI_HUB_USER_API_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_API_TOKEN)\n+ yield CI_HUB_USER_API_TOKEN\n+ with suppress(requests.exceptions.HTTPError):\n+ hf_api.unset_access_token()\n+\n+\n+@pytest.fixture\n+def cleanup_repo(hf_api: HfApi):\n+ def _cleanup_repo(repo_id):\n+ hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_API_TOKEN, repo_type=\"dataset\")\n+\n+ return _cleanup_repo\n+\n+\n+@pytest.fixture\n+def temporary_repo(cleanup_repo):\n+ @contextmanager\n+ def _temporary_repo(repo_id):\n+ try:\n+ yield repo_id\n+ finally:\n+ cleanup_repo(repo_id)\n+\n+ return _temporary_repo\n+\n+\n+def create_unique_repo_name(prefix: str, user: str) -> str:\n+ repo_name = f\"{prefix}-{int(time.time() * 10e3)}\"\n+ return f\"{user}/{repo_name}\"\n+\n+\n+def create_hub_dataset_repo(\n+ *,\n+ hf_api: HfApi,\n+ hf_token: str,\n+ prefix: str,\n+ file_paths: List[str] = None,\n+ dataset: Dataset = None,\n+ private=False,\n+ gated=False,\n+ user=CI_HUB_USER,\n+) -> str:\n+ repo_id = create_unique_repo_name(prefix, user)\n+ if dataset is not None:\n+ dataset.push_to_hub(repo_id=repo_id, private=private, token=hf_token, embed_external_files=True)\n+ else:\n+ hf_api.create_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\", private=private)\n+ if gated:\n+ update_repo_settings(hf_api, repo_id, token=hf_token, gated=gated, repo_type=\"dataset\")\n+ if file_paths is not None:\n+ for file_path in file_paths:\n+ hf_api.upload_file(\n+ token=hf_token,\n+ path_or_fileobj=file_path,\n+ path_in_repo=Path(file_path).name,\n+ repo_id=repo_id,\n+ repo_type=\"dataset\",\n+ )\n+ return repo_id\n+\n+\n+# https://docs.pytest.org/en/6.2.x/fixture.html#yield-fixtures-recommended\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hub_public_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]:\n+ repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix=\"empty\")\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hub_public_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]:\n+ repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix=\"csv\", file_paths=[csv_path])\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hub_private_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]:\n+ repo_id = create_hub_dataset_repo(\n+ hf_api=hf_api, hf_token=hf_token, prefix=\"csv_private\", file_paths=[csv_path], private=True\n+ )\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hub_gated_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]:\n+ repo_id = create_hub_dataset_repo(\n+ hf_api=hf_api, hf_token=hf_token, prefix=\"csv_gated\", file_paths=[csv_path], gated=True\n+ )\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hub_public_audio(hf_api: HfApi, hf_token: str, datasets: Dict[str, Dataset]) -> Iterable[str]:\n+ repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix=\"audio\", dataset=datasets[\"audio\"])\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hub_public_image(hf_api: HfApi, hf_token: str, datasets: Dict[str, Dataset]) -> Iterable[str]:\n+ repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix=\"image\", dataset=datasets[\"image\"])\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+class HubDatasetTest(TypedDict):\n+ name: str\n+ splits_response: Any\n+ first_rows_response: Any\n+\n+\n+HubDatasets = Dict[str, HubDatasetTest]\n+\n+\n+def get_splits_response(dataset: str, num_bytes: float = None, num_examples: int = None):\n+ dataset, config, split = get_default_config_split(dataset)\n+ return {\n+ \"splits\": [\n+ {\n+ \"dataset_name\": dataset,\n+ \"config_name\": config,\n+ \"split_name\": split,\n+ \"num_bytes\": num_bytes,\n+ \"num_examples\": num_examples,\n+ }\n+ ]\n+ }\n+\n+\n+def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any]):\n+ dataset, config, split = get_default_config_split(dataset)\n+ return {\n+ \"features\": [\n+ {\n+ \"dataset\": dataset,\n+ \"config\": config,\n+ \"split\": split,\n+ \"feature_idx\": feature_idx,\n+ \"name\": name,\n+ \"type\": type,\n+ }\n+ for feature_idx, (name, type) in enumerate(cols.items())\n+ ],\n+ \"rows\": [\n+ {\n+ \"dataset\": dataset,\n+ \"config\": config,\n+ \"split\": split,\n+ \"row_idx\": row_idx,\n+ \"truncated_cells\": [],\n+ \"row\": row,\n+ }\n+ for row_idx, row in enumerate(rows)\n+ ],\n+ }\n+\n+\n+# # column = \"col\"\n+\n+DATA_cols = {\n+ \"col_1\": {\"_type\": \"Value\", \"id\": None, \"dtype\": \"int64\"},\n+ \"col_2\": {\"_type\": \"Value\", \"id\": None, \"dtype\": \"int64\"},\n+ \"col_3\": {\"_type\": \"Value\", \"id\": None, \"dtype\": \"float64\"},\n+}\n+DATA_rows = [\n+ {\"col_1\": 0, \"col_2\": 0, \"col_3\": 0.0},\n+ {\"col_1\": 1, \"col_2\": 1, \"col_3\": 1.0},\n+ {\"col_1\": 2, \"col_2\": 2, \"col_3\": 2.0},\n+ {\"col_1\": 3, \"col_2\": 3, \"col_3\": 3.0},\n+]\n+\n+AUDIO_cols = {\n+ \"col\": {\n+ \"_type\": \"Audio\",\n+ \"decode\": True,\n+ \"id\": None,\n+ \"mono\": True,\n+ \"sampling_rate\": 16_000,\n+ },\n+}\n+\n+\n+def get_AUDIO_rows(dataset: str):\n+ dataset, config, split = get_default_config_split(dataset)\n+ return [\n+ {\n+ \"col\": [\n+ {\n+ \"src\": f\"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/audio.mp3\",\n+ \"type\": \"audio/mpeg\",\n+ },\n+ {\n+ \"src\": f\"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/audio.wav\",\n+ \"type\": \"audio/wav\",\n+ },\n+ ]\n+ }\n+ ]\n+\n+\n+IMAGE_cols = {\n+ \"col\": {\n+ \"_type\": \"Image\",\n+ \"decode\": True,\n+ \"id\": None,\n+ },\n+}\n+\n+\n+def get_IMAGE_rows(dataset: str):\n+ dataset, config, split = get_default_config_split(dataset)\n+ return [\n+ {\n+ \"col\": f\"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image.jpg\",\n+ }\n+ ]\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hub_datasets(\n+ hub_public_empty, hub_public_csv, hub_private_csv, hub_gated_csv, hub_public_audio, hub_public_image\n+) -> HubDatasets:\n+ return {\n+ \"does_not_exist\": {\n+ \"name\": \"does_not_exist\",\n+ \"splits_response\": None,\n+ \"first_rows_response\": None,\n+ },\n+ \"empty\": {\n+ \"name\": hub_public_empty,\n+ \"splits_response\": None,\n+ \"first_rows_response\": None,\n+ },\n+ \"public\": {\n+ \"name\": hub_public_csv,\n+ \"splits_response\": get_splits_response(hub_public_csv, None, None),\n+ \"first_rows_response\": get_first_rows_response(hub_public_csv, DATA_cols, DATA_rows),\n+ },\n+ \"private\": {\n+ \"name\": hub_private_csv,\n+ \"splits_response\": get_splits_response(hub_private_csv, None, None),\n+ \"first_rows_response\": get_first_rows_response(hub_private_csv, DATA_cols, DATA_rows),\n+ },\n+ \"gated\": {\n+ \"name\": hub_gated_csv,\n+ \"splits_response\": get_splits_response(hub_gated_csv, None, None),\n+ \"first_rows_response\": get_first_rows_response(hub_gated_csv, DATA_cols, DATA_rows),\n+ },\n+ \"audio\": {\n+ \"name\": hub_public_audio,\n+ \"splits_response\": get_splits_response(hub_public_audio, 54.0, 1),\n+ \"first_rows_response\": get_first_rows_response(\n+ hub_public_audio, AUDIO_cols, get_AUDIO_rows(hub_public_audio)\n+ ),\n+ },\n+ \"image\": {\n+ \"name\": hub_public_image,\n+ \"splits_response\": get_splits_response(hub_public_image, 0, 1),\n+ \"first_rows_response\": get_first_rows_response(\n+ hub_public_image, IMAGE_cols, get_IMAGE_rows(hub_public_image)\n+ ),\n+ },\n+ }\ndiff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py\nindex 5ef6eff3..f4481ede 100644\n--- a/services/worker/tests/responses/test_first_rows.py\n+++ b/services/worker/tests/responses/test_first_rows.py\n@@ -1,3 +1,2 @@\n-from worker.responses.first_rows import get_first_rows_response\n-\n-from .._utils import ASSETS_BASE_URL, HF_ENDPOINT\n+import pytest\n+from libutils.exceptions import CustomError\n@@ -4,0 +4 @@ from .._utils import ASSETS_BASE_URL, HF_ENDPOINT\n+from worker.responses.first_rows import get_first_rows_response\n@@ -6,11 +6,2 @@ from .._utils import ASSETS_BASE_URL, HF_ENDPOINT\n-def test_number_rows() -> None:\n- rows_max_number = 7\n- response = get_first_rows_response(\n- \"duorc\",\n- \"SelfRC\",\n- \"train\",\n- rows_max_number=rows_max_number,\n- assets_base_url=ASSETS_BASE_URL,\n- hf_endpoint=HF_ENDPOINT,\n- )\n- assert len(response[\"rows\"]) == rows_max_number\n+from ..fixtures.hub import HubDatasets\n+from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_split\n@@ -19 +10,24 @@ def test_number_rows() -> None:\n-def test_get_first_rows_response() -> None:\n+@pytest.mark.parametrize(\n+ \"name,use_token,error_code,cause\",\n+ [\n+ (\"public\", False, None, None),\n+ (\"audio\", False, None, None),\n+ (\"image\", False, None, None),\n+ # TODO: re-enable both when https://github.com/huggingface/datasets/issues/4875 is fixed\n+ # (\"gated\", True, None, None),\n+ # (\"private\", True, None, None), # <- TODO: should we disable accessing private datasets?\n+ (\"empty\", False, \"SplitsNamesError\", \"FileNotFoundError\"),\n+ (\"does_not_exist\", False, \"DatasetNotFoundError\", None),\n+ (\"gated\", False, \"SplitsNamesError\", \"FileNotFoundError\"),\n+ (\"private\", False, \"SplitsNamesError\", \"FileNotFoundError\"),\n+ ],\n+)\n+def test_number_rows(\n+ hub_datasets: HubDatasets,\n+ name: str,\n+ use_token: bool,\n+ error_code: str,\n+ cause: str,\n+) -> None:\n+ dataset = hub_datasets[name][\"name\"]\n+ expected_first_rows_response = hub_datasets[name][\"first_rows_response\"]\n@@ -21,46 +35,39 @@ def test_get_first_rows_response() -> None:\n- response = get_first_rows_response(\n- \"common_voice\",\n- \"tr\",\n- \"train\",\n- rows_max_number=rows_max_number,\n- assets_base_url=ASSETS_BASE_URL,\n- hf_endpoint=HF_ENDPOINT,\n- )\n-\n- assert response[\"features\"][0][\"feature_idx\"] == 0\n- assert response[\"features\"][0][\"name\"] == \"client_id\"\n- assert response[\"features\"][0][\"type\"][\"_type\"] == \"Value\"\n- assert response[\"features\"][0][\"type\"][\"dtype\"] == \"string\"\n-\n- assert response[\"features\"][2][\"name\"] == \"audio\"\n- assert response[\"features\"][2][\"type\"][\"_type\"] == \"Audio\"\n- assert response[\"features\"][2][\"type\"][\"sampling_rate\"] == 48000\n-\n- assert len(response[\"rows\"]) == rows_max_number\n- assert response[\"rows\"][0][\"row_idx\"] == 0\n- assert response[\"rows\"][0][\"row\"][\"client_id\"].startswith(\"54fc2d015c27a057b\")\n- assert response[\"rows\"][0][\"row\"][\"audio\"] == [\n- {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3\", \"type\": \"audio/mpeg\"},\n- {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav\", \"type\": \"audio/wav\"},\n- ]\n-\n-\n-def test_no_features() -> None:\n- response = get_first_rows_response(\n- \"severo/fix-401\",\n- \"severo--fix-401\",\n- \"train\",\n- rows_max_number=1,\n- assets_base_url=ASSETS_BASE_URL,\n- hf_endpoint=HF_ENDPOINT,\n- )\n-\n- # TODO: re-enable when we understand why it works locally but not in the CI (order of the features)\n- # assert response[\"features\"][5][\"feature_idx\"] == 5\n- # assert response[\"features\"][5][\"name\"] == \"area_mean\"\n- # assert response[\"features\"][5][\"type\"][\"_type\"] == \"Value\"\n- # assert response[\"features\"][5][\"type\"][\"dtype\"] == \"float64\"\n-\n- assert response[\"rows\"][0][\"row_idx\"] == 0\n- assert response[\"rows\"][0][\"row\"][\"diagnosis\"] == \"M\"\n- assert response[\"rows\"][0][\"row\"][\"area_mean\"] == 1001.0\n+ dataset, config, split = get_default_config_split(dataset)\n+ if error_code is None:\n+ response = get_first_rows_response(\n+ dataset_name=dataset,\n+ config_name=config,\n+ split_name=split,\n+ assets_base_url=ASSETS_BASE_URL,\n+ hf_endpoint=HF_ENDPOINT,\n+ hf_token=HF_TOKEN if use_token else None,\n+ rows_max_number=rows_max_number,\n+ )\n+ assert response == expected_first_rows_response\n+ return\n+ with pytest.raises(CustomError) as exc_info:\n+ get_first_rows_response(\n+ dataset_name=dataset,\n+ config_name=config,\n+ split_name=split,\n+ assets_base_url=ASSETS_BASE_URL,\n+ hf_endpoint=HF_ENDPOINT,\n+ hf_token=HF_TOKEN if use_token else None,\n+ rows_max_number=rows_max_number,\n+ )\n+ assert exc_info.value.code == error_code\n+ if cause is None:\n+ assert exc_info.value.disclose_cause is False\n+ assert exc_info.value.cause_exception is None\n+ else:\n+ assert exc_info.value.disclose_cause is True\n+ assert exc_info.value.cause_exception == cause\n+ response = exc_info.value.as_response()\n+ assert set(response.keys()) == {\"error\", \"cause_exception\", \"cause_message\", \"cause_traceback\"}\n+ assert response[\"error\"] == \"Cannot get the split names for the dataset.\"\n+ response_dict = dict(response)\n+ # ^ to remove mypy warnings\n+ assert response_dict[\"cause_exception\"] == \"FileNotFoundError\"\n+ assert str(response_dict[\"cause_message\"]).startswith(\"Couldn't find a dataset script at \")\n+ assert isinstance(response_dict[\"cause_traceback\"], list)\n+ assert response_dict[\"cause_traceback\"][0] == \"Traceback (most recent call last):\\n\"\ndiff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py\nindex 9bba6a10..d5381a58 100644\n--- a/services/worker/tests/responses/test_splits.py\n+++ b/services/worker/tests/responses/test_splits.py\n@@ -2,77 +2,67 @@ import pytest\n-from datasets.inspect import SplitsNotFoundError\n-\n-from worker.responses.splits import get_dataset_split_full_names, get_splits_response\n-from worker.utils import SplitsNamesError\n-\n-from .._utils import HF_ENDPOINT, HF_TOKEN\n-\n-\n-def test_script_error() -> None:\n- # raises \"ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'\"\n- # which should be caught and raised as DatasetBuilderScriptError\n- with pytest.raises(ModuleNotFoundError):\n- get_dataset_split_full_names(dataset_name=\"piEsposito/br-quad-2.0\")\n-\n-\n-def test_no_dataset() -> None:\n- # the dataset does not exist\n- with pytest.raises(FileNotFoundError):\n- get_dataset_split_full_names(dataset_name=\"doesnotexist\")\n-\n-\n-def test_no_dataset_no_script() -> None:\n- # the dataset does not contain a script\n- with pytest.raises(FileNotFoundError):\n- get_dataset_split_full_names(dataset_name=\"AConsApart/anime_subtitles_DialoGPT\")\n- with pytest.raises(FileNotFoundError):\n- get_dataset_split_full_names(dataset_name=\"TimTreasure4/Test\")\n-\n-\n-def test_builder_config_error() -> None:\n- with pytest.raises(SplitsNotFoundError):\n- get_dataset_split_full_names(dataset_name=\"KETI-AIR/nikl\")\n- with pytest.raises(RuntimeError):\n- get_dataset_split_full_names(dataset_name=\"nateraw/image-folder\")\n- with pytest.raises(TypeError):\n- get_dataset_split_full_names(dataset_name=\"Valahaar/wsdmt\")\n-\n-\n-# get_split\n-def test_get_split() -> None:\n- split_full_names = get_dataset_split_full_names(\"glue\")\n- assert len(split_full_names) == 34\n- assert {\"dataset_name\": \"glue\", \"config_name\": \"ax\", \"split_name\": \"test\"} in split_full_names\n-\n-\n-def test_splits_fallback() -> None:\n- # uses the fallback to call \"builder._split_generators\" while https://github.com/huggingface/datasets/issues/2743\n- split_full_names = get_dataset_split_full_names(\"hda_nli_hindi\")\n- assert len(split_full_names) == 3\n- assert {\"dataset_name\": \"hda_nli_hindi\", \"config_name\": \"HDA nli hindi\", \"split_name\": \"train\"} in split_full_names\n-\n-\n-# disable until https://github.com/huggingface/datasets-server/pull/499 is done\n-# def test_gated() -> None:\n-# split_full_names = get_dataset_split_full_names(\"severo/dummy_gated\", HF_TOKEN)\n-# assert len(split_full_names) == 1\n-# assert {\n-# \"dataset_name\": \"severo/dummy_gated\",\n-# \"config_name\": \"severo--embellishments\",\n-# \"split_name\": \"train\",\n-# } in split_full_names\n-\n-\n-def test_disclose_cause() -> None:\n- with pytest.raises(SplitsNamesError) as exc_info:\n- get_splits_response(\"akhaliq/test\", HF_ENDPOINT, HF_TOKEN)\n- assert exc_info.value.disclose_cause is True\n- assert exc_info.value.cause_exception == \"FileNotFoundError\"\n- response = exc_info.value.as_response()\n- assert set(response.keys()) == {\"error\", \"cause_exception\", \"cause_message\", \"cause_traceback\"}\n- assert response[\"error\"] == \"Cannot get the split names for the dataset.\"\n- response_dict = dict(response)\n- # ^ to remove mypy warnings\n- assert response_dict[\"cause_exception\"] == \"FileNotFoundError\"\n- assert str(response_dict[\"cause_message\"]).startswith(\"Couldn't find a dataset script at \")\n- assert isinstance(response_dict[\"cause_traceback\"], list)\n- assert response_dict[\"cause_traceback\"][0] == \"Traceback (most recent call last):\\n\"\n+from libutils.exceptions import CustomError\n+\n+from worker.responses.splits import get_splits_response\n+\n+from ..fixtures.hub import HubDatasets\n+from ..utils import HF_ENDPOINT, HF_TOKEN\n+\n+\n+@pytest.mark.parametrize(\n+ \"name,use_token,error_code,cause\",\n+ [\n+ (\"public\", False, None, None),\n+ (\"audio\", False, None, None),\n+ (\"gated\", True, None, None),\n+ (\"private\", True, None, None), # <- TODO: should we disable accessing private datasets?\n+ (\"empty\", False, \"SplitsNamesError\", \"FileNotFoundError\"),\n+ (\"does_not_exist\", False, \"DatasetNotFoundError\", None),\n+ (\"gated\", False, \"SplitsNamesError\", \"FileNotFoundError\"),\n+ (\"private\", False, \"SplitsNamesError\", \"FileNotFoundError\"),\n+ ],\n+)\n+def test_get_splits_response_simple_csv(\n+ hub_datasets: HubDatasets, name: str, use_token: bool, error_code: str, cause: str\n+) -> None:\n+ dataset = hub_datasets[name][\"name\"]\n+ expected_splits_response = hub_datasets[name][\"splits_response\"]\n+ if error_code is None:\n+ splits_response = get_splits_response(dataset, HF_ENDPOINT, HF_TOKEN if use_token else None)\n+ assert splits_response == expected_splits_response\n+ return\n+\n+ with pytest.raises(CustomError) as exc_info:\n+ get_splits_response(dataset, HF_ENDPOINT, HF_TOKEN if use_token else None)\n+ assert exc_info.value.code == error_code\n+ if cause is None:\n+ assert exc_info.value.disclose_cause is False\n+ assert exc_info.value.cause_exception is None\n+ else:\n+ assert exc_info.value.disclose_cause is True\n+ assert exc_info.value.cause_exception == cause\n+ response = exc_info.value.as_response()\n+ assert set(response.keys()) == {\"error\", \"cause_exception\", \"cause_message\", \"cause_traceback\"}\n+ assert response[\"error\"] == \"Cannot get the split names for the dataset.\"\n+ response_dict = dict(response)\n+ # ^ to remove mypy warnings\n+ assert response_dict[\"cause_exception\"] == \"FileNotFoundError\"\n+ assert str(response_dict[\"cause_message\"]).startswith(\"Couldn't find a dataset script at \")\n+ assert isinstance(response_dict[\"cause_traceback\"], list)\n+ assert response_dict[\"cause_traceback\"][0] == \"Traceback (most recent call last):\\n\"\n+\n+\n+# @pytest.mark.real_dataset\n+# def test_script_error() -> None:\n+# # raises \"ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'\"\n+# # which should be caught and raised as DatasetBuilderScriptError\n+# with pytest.raises(ModuleNotFoundError):\n+# get_dataset_split_full_names(dataset_name=\"piEsposito/br-quad-2.0\")\n+\n+\n+# @pytest.mark.real_dataset\n+# def test_builder_config_error() -> None:\n+# with pytest.raises(SplitsNotFoundError):\n+# get_dataset_split_full_names(dataset_name=\"KETI-AIR/nikl\")\n+# with pytest.raises(RuntimeError):\n+# get_dataset_split_full_names(dataset_name=\"nateraw/image-folder\")\n+# with pytest.raises(TypeError):\n+# get_dataset_split_full_names(dataset_name=\"Valahaar/wsdmt\")\ndiff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py\nindex b69585b9..c5974281 100644\n--- a/services/worker/tests/test_features.py\n+++ b/services/worker/tests/test_features.py\n@@ -1,0 +2 @@ import datetime\n+from typing import Any, Dict\n@@ -5,2 +5,0 @@ import numpy as np\n-import pandas as pd # type: ignore\n-import pyarrow as pa # type: ignore\n@@ -8,15 +7 @@ import pytest\n-from datasets import (\n- Array2D,\n- Array3D,\n- Array4D,\n- Array5D,\n- Audio,\n- ClassLabel,\n- Dataset,\n- Features,\n- Image,\n- Sequence,\n- Translation,\n- TranslationVariableLanguages,\n- Value,\n-)\n+from datasets import Dataset, Value\n@@ -26 +11 @@ from worker.features import get_cell_value\n-from ._utils import ASSETS_BASE_URL\n+from .utils import ASSETS_BASE_URL\n@@ -38 +23 @@ from ._utils import ASSETS_BASE_URL\n- \"input_value,input_dtype,output_value,output_dtype\",\n+ \"dataset_type,output_value,output_dtype\",\n@@ -40,22 +25,11 @@ from ._utils import ASSETS_BASE_URL\n- # null\n- (None, None, None, \"null\"),\n- # bool\n- (False, pd.BooleanDtype(), False, \"bool\"),\n- # int8\n- (-7, pd.Int8Dtype(), -7, \"int8\"),\n- # int16\n- (-7, pd.Int16Dtype(), -7, \"int16\"),\n- # int32\n- (-7, pd.Int32Dtype(), -7, \"int32\"),\n- # int64\n- (-7, pd.Int64Dtype(), -7, \"int64\"),\n- # uint8\n- (7, pd.UInt8Dtype(), 7, \"uint8\"),\n- # uint16\n- (7, pd.UInt16Dtype(), 7, \"uint16\"),\n- # uint32\n- (7, pd.UInt32Dtype(), 7, \"uint32\"),\n- # uint64\n- (7, pd.UInt64Dtype(), 7, \"uint64\"),\n- # float16\n- (-3.14, np.float16, np.float16(-3.14), \"float16\"),\n+ (\"null\", None, \"null\"),\n+ (\"bool\", False, \"bool\"),\n+ (\"int8\", -7, \"int8\"),\n+ (\"int16\", -7, \"int16\"),\n+ (\"int32\", -7, \"int32\"),\n+ (\"int64\", -7, \"int64\"),\n+ (\"uint8\", 7, \"uint8\"),\n+ (\"uint16\", 7, \"uint16\"),\n+ (\"uint32\", 7, \"uint32\"),\n+ (\"uint64\", 7, \"uint64\"),\n+ (\"float16\", np.float16(-3.14), \"float16\"),\n@@ -63,2 +37,2 @@ from ._utils import ASSETS_BASE_URL\n- # float32 (alias float)\n- (-3.14, np.float32, np.float32(-3.14), \"float32\"),\n+ # (alias float)\n+ (\"float32\", np.float32(-3.14), \"float32\"),\n@@ -66,15 +40,8 @@ from ._utils import ASSETS_BASE_URL\n- # float64 (alias double)\n- (-3.14, np.float64, -3.14, \"float64\"),\n- # time32[(s|ms)]\n- # TODO\n- # time64[(us|ns)]\n- # (time(1, 1, 1), None, datetime.datetime(1, 1, 1), \"time64[us]\"),\n- # ^ TODO: add after https://github.com/huggingface/datasets/issues/4620 is fixed\n- # timestamp[(s|ms|us|ns)]\n- (pd.Timestamp(2020, 1, 1), None, datetime.datetime(2020, 1, 1, 0, 0), \"timestamp[ns]\"),\n- (\n- pd.Timestamp(1513393355.5, unit=\"s\"),\n- None,\n- datetime.datetime(2017, 12, 16, 3, 2, 35, 500000),\n- \"timestamp[ns]\",\n- ),\n+ # (alias double)\n+ (\"float64\", -3.14, \"float64\"),\n+ # TODO: time32[(s|ms)]\n+ # TODO: time64[(us|ns)]\n+ (\"time\", datetime.time(1, 1, 1), \"time64[us]\"),\n+ (\"timestamp_1\", datetime.datetime(2020, 1, 1, 0, 0), \"timestamp[ns]\"),\n+ (\"timestamp_2\", datetime.datetime(2017, 12, 16, 3, 2, 35, 500000), \"timestamp[ns]\"),\n+ (\"timestamp_3\", datetime.datetime(2017, 12, 16, 3, 2, 35, 500000), \"timestamp[ns]\"),\n@@ -82,9 +49 @@ from ._utils import ASSETS_BASE_URL\n- pd.Timestamp(1513393355500, unit=\"ms\"),\n- None,\n- datetime.datetime(2017, 12, 16, 3, 2, 35, 500000),\n- \"timestamp[ns]\",\n- ),\n- # timestamp[(s|ms|us|ns), tz=(tzstring)]\n- (\n- pd.Timestamp(year=2020, month=1, day=1, tz=\"US/Pacific\"),\n- None,\n+ \"timestamp_tz\",\n@@ -94,18 +53,9 @@ from ._utils import ASSETS_BASE_URL\n- # date32\n- # TODO\n- # date64\n- # TODO\n- # duration[(s|ms|us|ns)]\n- # TODO\n- # decimal128(precision, scale)\n- # TODO\n- # decimal256(precision, scale)\n- # TODO\n- # binary\n- # TODO\n- # large_binary\n- # TODO\n- # string\n- (\"a string\", pd.StringDtype(), \"a string\", \"string\"),\n- # large_string\n- # TODO\n+ # TODO: date32\n+ # TODO: date64\n+ # TODO: duration[(s|ms|us|ns)]\n+ # TODO: decimal128(precision, scale)\n+ # TODO: decimal256(precision, scale)\n+ # TODO: binary\n+ # TODO: large_binary\n+ (\"string\", \"a string\", \"string\"),\n+ # TODO: large_string\n@@ -114,13 +64,3 @@ from ._utils import ASSETS_BASE_URL\n-def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- if input_dtype == \"datetime64[ns]\":\n- a = pa.array(\n- [\n- datetime.datetime(2022, 7, 4, 3, 2, 1),\n- ],\n- type=pa.date64(),\n- )\n- dataset = Dataset.from_buffer(a.to_buffer())\n- else:\n- df = pd.DataFrame({\"feature_name\": [input_value]}, dtype=input_dtype)\n- dataset = Dataset.from_pandas(df)\n- feature = dataset.features[\"feature_name\"]\n+def test_value(dataset_type, output_value, output_dtype, datasets) -> None:\n+ dataset = datasets[dataset_type]\n+ feature = dataset.features[\"col\"]\n@@ -129,3 +69 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- value = get_cell_value(\n- \"dataset\", \"config\", \"split\", 7, dataset[0][\"feature_name\"], \"feature_name\", feature, ASSETS_BASE_URL\n- )\n+ value = get_cell_value(\"dataset\", \"config\", \"split\", 7, dataset[0][\"col\"], \"col\", feature, ASSETS_BASE_URL)\n@@ -135 +72,0 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n-@pytest.mark.usefixtures(\"config\")\n@@ -137 +74 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- \"get_data_tuple\",\n+ \"dataset_type,output_value,output_type\",\n@@ -139 +75,0 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- # (input value, input feature, output value, output _type)\n@@ -142 +78 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\"positive\", ClassLabel(names=[\"negative\", \"positive\"]), 1, \"ClassLabel\"),\n+ (\"class_label\", 1, \"ClassLabel\"),\n@@ -145,6 +81 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\n- {\"a\": 0},\n- None,\n- {\"a\": 0},\n- {\"a\": Value(dtype=\"int64\", id=None)},\n- ),\n+ (\"dict\", {\"a\": 0}, {\"a\": Value(dtype=\"int64\", id=None)}),\n@@ -160,23 +91,5 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\n- [{\"a\": 0}],\n- None,\n- [{\"a\": 0}],\n- [{\"a\": Value(dtype=\"int64\", id=None)}],\n- ),\n- lambda config: (\n- [0],\n- None,\n- [0],\n- \"Sequence\",\n- ),\n- lambda config: (\n- [{\"a\": 0}],\n- Sequence(feature={\"a\": Value(dtype=\"int64\")}),\n- {\"a\": [0]},\n- \"Sequence\",\n- ),\n- # lambda config: (\n- # [\n- # {\"array\": [0.1, 0.2, 0.3], \"sampling_rate\": 16_000},\n- # ],\n- # Sequence(feature=Audio()),\n+ (\"list\", [{\"a\": 0}], [{\"a\": Value(dtype=\"int64\", id=None)}]),\n+ (\"sequence_simple\", [0], \"Sequence\"),\n+ (\"sequence\", {\"a\": [0]}, \"Sequence\"),\n+ # (\n+ # \"sequence_audio\"\n@@ -185 +98 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- # \"Sequence\",\n+ # \"Sequence\"\n@@ -189,16 +102,8 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\n- np.zeros((2, 2)),\n- Array2D(shape=(2, 2), dtype=\"float32\"),\n- [[0.0, 0.0], [0.0, 0.0]],\n- \"Array2D\",\n- ),\n- lambda config: (\n- np.zeros((2, 2, 2)),\n- Array3D(shape=(2, 2, 2), dtype=\"float32\"),\n- [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n- \"Array3D\",\n- ),\n- lambda config: (\n- np.zeros((1, 1, 1, 1)),\n- Array4D(shape=(1, 1, 1, 1), dtype=\"int32\"),\n- [[[[0]]]],\n+ (\"array2d\", [[0.0, 0.0], [0.0, 0.0]], \"Array2D\"),\n+ (\"array3d\", [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], \"Array3D\"),\n+ (\n+ \"array4d\",\n+ [\n+ [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n+ [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n+ ],\n@@ -207,4 +112,12 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\n- np.zeros((1, 1, 1, 1, 1)),\n- Array5D(shape=(1, 1, 1, 1, 1), dtype=\"int32\"),\n- [[[[[0]]]]],\n+ (\n+ \"array5d\",\n+ [\n+ [\n+ [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n+ [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n+ ],\n+ [\n+ [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n+ [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]],\n+ ],\n+ ],\n@@ -216,3 +129,2 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\n- {\"array\": [0.1, 0.2, 0.3], \"sampling_rate\": 16_000},\n- Audio(),\n+ (\n+ \"audio\",\n@@ -221 +133 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- \"src\": \"http://localhost/assets/dataset/--/config/split/7/feature_name/audio.mp3\",\n+ \"src\": \"http://localhost/assets/dataset/--/config/split/7/col/audio.mp3\",\n@@ -225 +137 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- \"src\": \"http://localhost/assets/dataset/--/config/split/7/feature_name/audio.wav\",\n+ \"src\": \"http://localhost/assets/dataset/--/config/split/7/col/audio.wav\",\n@@ -234,6 +146 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\n- {\"path\": config[\"image_file\"]},\n- Image(),\n- \"http://localhost/assets/dataset/--/config/split/7/feature_name/image.jpg\",\n- \"Image\",\n- ),\n+ (\"image\", \"http://localhost/assets/dataset/--/config/split/7/col/image.jpg\", \"Image\"),\n@@ -242,9 +149,3 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n- lambda config: (\n- {\"en\": \"the cat\", \"fr\": \"le chat\"},\n- Translation(languages=[\"en\", \"fr\"]),\n- {\"en\": \"the cat\", \"fr\": \"le chat\"},\n- \"Translation\",\n- ),\n- lambda config: (\n- {\"en\": \"the cat\", \"fr\": [\"le chat\", \"la chatte\"]},\n- TranslationVariableLanguages(languages=[\"en\", \"fr\"]),\n+ (\"translation\", {\"en\": \"the cat\", \"fr\": \"le chat\"}, \"Translation\"),\n+ (\n+ \"translation_variable_languages\",\n@@ -256,10 +157,5 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None:\n-def test_others(config, get_data_tuple) -> None:\n- (input_value, input_feature, output_value, output__type) = get_data_tuple(config)\n- if input_feature is None:\n- dataset = Dataset.from_dict({\"feature_name\": [input_value]})\n- else:\n- features = Features({\"feature_name\": input_feature})\n- dataset = Dataset.from_dict({\"feature_name\": [input_value]}, features)\n- feature = dataset.features[\"feature_name\"]\n- if type(output__type) in [list, dict]:\n- assert feature == output__type\n+def test_others(dataset_type: str, output_value: Any, output_type: Any, datasets: Dict[str, Dataset]) -> None:\n+ dataset = datasets[dataset_type]\n+ feature = dataset.features[\"col\"]\n+ if type(output_type) in [list, dict]:\n+ assert feature == output_type\n@@ -267,4 +163,2 @@ def test_others(config, get_data_tuple) -> None:\n- assert feature._type == output__type\n- value = get_cell_value(\n- \"dataset\", \"config\", \"split\", 7, dataset[0][\"feature_name\"], \"feature_name\", feature, ASSETS_BASE_URL\n- )\n+ assert feature._type == output_type\n+ value = get_cell_value(\"dataset\", \"config\", \"split\", 7, dataset[0][\"col\"], \"col\", feature, ASSETS_BASE_URL)\ndiff --git a/services/worker/tests/test_main.py b/services/worker/tests/test_main.py\nindex bb71d45f..47435ab1 100644\n--- a/services/worker/tests/test_main.py\n+++ b/services/worker/tests/test_main.py\n@@ -10 +10,6 @@ from worker.main import process_next_first_rows_job, process_next_splits_job\n-from ._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL\n+from .utils import (\n+ MONGO_CACHE_DATABASE,\n+ MONGO_QUEUE_DATABASE,\n+ MONGO_URL,\n+ get_default_config_split,\n+)\n@@ -31,2 +36,2 @@ def clean_mongo_database() -> None:\n-def test_process_next_splits_job():\n- add_splits_job(\"acronym_identification\")\n+def test_process_next_splits_job(hub_public_csv: str) -> None:\n+ add_splits_job(hub_public_csv)\n@@ -37,2 +42,3 @@ def test_process_next_splits_job():\n-def test_process_next_first_rows_job():\n- add_first_rows_job(\"acronym_identification\", \"default\", \"train\")\n+def test_process_next_first_rows_job(hub_public_csv: str) -> None:\n+ dataset, config, split = get_default_config_split(hub_public_csv)\n+ add_first_rows_job(dataset, config, split)\ndiff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py\nindex 11f66a72..651216e5 100644\n--- a/services/worker/tests/test_refresh.py\n+++ b/services/worker/tests/test_refresh.py\n@@ -16 +16,2 @@ from worker.refresh import refresh_first_rows, refresh_splits\n-from ._utils import (\n+from .fixtures.files import DATA\n+from .utils import (\n@@ -21,0 +23,2 @@ from ._utils import (\n+ ROWS_MAX_NUMBER,\n+ get_default_config_split,\n@@ -47,0 +51,7 @@ def test_doesnotexist() -> None:\n+ dataset, config, split = get_default_config_split(dataset_name)\n+ assert refresh_first_rows(dataset, config, split, ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT) == (\n+ HTTPStatus.NOT_FOUND,\n+ False,\n+ )\n+ with pytest.raises(DoesNotExist):\n+ get_first_rows_response(dataset, config, split)\n@@ -50,6 +60,3 @@ def test_doesnotexist() -> None:\n-def test_e2e_examples() -> None:\n- # see https://github.com/huggingface/datasets-server/issues/78\n- dataset_name = \"Check/region_1\"\n-\n- assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False)\n- response, _, _ = get_splits_response(dataset_name)\n+def test_refresh_splits(hub_public_csv: str) -> None:\n+ assert refresh_splits(hub_public_csv, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False)\n+ response, _, _ = get_splits_response(hub_public_csv)\n@@ -60,17 +66,0 @@ def test_e2e_examples() -> None:\n- dataset_name = \"acronym_identification\"\n- assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False)\n- response, _, _ = get_splits_response(dataset_name)\n- assert len(response[\"splits\"]) == 3\n- assert response[\"splits\"][0][\"num_bytes\"] == 7792803\n- assert response[\"splits\"][0][\"num_examples\"] == 14006\n-\n-\n-def test_large_document() -> None:\n- # see https://github.com/huggingface/datasets-server/issues/89\n- dataset_name = \"SaulLu/Natural_Questions_HTML\"\n-\n- assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False)\n- _, http_status, error_code = get_splits_response(dataset_name)\n- assert http_status == HTTPStatus.OK\n- assert error_code is None\n-\n@@ -78,3 +68,4 @@ def test_large_document() -> None:\n-def test_first_rows() -> None:\n- http_status, _ = refresh_first_rows(\"common_voice\", \"tr\", \"train\", ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT)\n- response, cached_http_status, error_code = get_first_rows_response(\"common_voice\", \"tr\", \"train\")\n+def test_refresh_first_rows(hub_public_csv: str) -> None:\n+ dataset, config, split = get_default_config_split(hub_public_csv)\n+ http_status, _ = refresh_first_rows(dataset, config, split, ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT)\n+ response, cached_http_status, error_code = get_first_rows_response(dataset, config, split)\n@@ -84 +74,0 @@ def test_first_rows() -> None:\n-\n@@ -86 +76 @@ def test_first_rows() -> None:\n- assert response[\"features\"][0][\"name\"] == \"client_id\"\n+ assert response[\"features\"][0][\"name\"] == \"col_1\"\n@@ -88,5 +78,3 @@ def test_first_rows() -> None:\n- assert response[\"features\"][0][\"type\"][\"dtype\"] == \"string\"\n-\n- assert response[\"features\"][2][\"name\"] == \"audio\"\n- assert response[\"features\"][2][\"type\"][\"_type\"] == \"Audio\"\n- assert response[\"features\"][2][\"type\"][\"sampling_rate\"] == 48000\n+ assert response[\"features\"][0][\"type\"][\"dtype\"] == \"int64\" # <---|\n+ assert response[\"features\"][1][\"type\"][\"dtype\"] == \"int64\" # <---|- auto-detected by the datasets library\n+ assert response[\"features\"][2][\"type\"][\"dtype\"] == \"float64\" # <-|\n@@ -93,0 +82 @@ def test_first_rows() -> None:\n+ assert len(response[\"rows\"]) == min(len(DATA), ROWS_MAX_NUMBER)\n@@ -95,5 +84 @@ def test_first_rows() -> None:\n- assert response[\"rows\"][0][\"row\"][\"client_id\"].startswith(\"54fc2d015c27a057b\")\n- assert response[\"rows\"][0][\"row\"][\"audio\"] == [\n- {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3\", \"type\": \"audio/mpeg\"},\n- {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav\", \"type\": \"audio/wav\"},\n- ]\n+ assert response[\"rows\"][0][\"row\"] == {\"col_1\": 0, \"col_2\": 0, \"col_3\": 0.0}\ndiff --git a/services/worker/tests/_utils.py b/services/worker/tests/utils.py\nsimilarity index 85%\nrename from services/worker/tests/_utils.py\nrename to services/worker/tests/utils.py\nindex 016952be..1b0db32c 100644\n--- a/services/worker/tests/_utils.py\n+++ b/services/worker/tests/utils.py\n@@ -1,0 +2 @@ import os\n+from typing import Tuple\n@@ -19,0 +21,6 @@ ROWS_MAX_NUMBER = get_int_value(d=os.environ, key=\"ROWS_MAX_NUMBER\", default=DEF\n+\n+\n+def get_default_config_split(dataset: str) -> Tuple[str, str, str]:\n+ config = dataset.replace(\"/\", \"--\")\n+ split = \"train\"\n+ return dataset, config, split\ndiff --git a/tools/Python.mk b/tools/Python.mk\nindex 8f978632..1fa36697 100644\n--- a/tools/Python.mk\n+++ b/tools/Python.mk\n@@ -38 +38 @@ test-target:\n-\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) $(PYTEST_ARGS)\n+\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} poetry run python -m pytest -vv -x $(TEST_TARGET) $(PYTEST_ARGS)\n@@ -42 +42 @@ test-target-expression:\n-\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS)\n+\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} poetry run python -m pytest -vv -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS)"}}},{"rowIdx":1663,"cells":{"hash":{"kind":"string","value":"5d18f3be27c81488825bac163d2da49d27d44360"},"authorName":{"kind":"string","value":"Lysandre Debut"},"authorEmail":{"kind":"string","value":"hi@lysand.re"},"date":{"kind":"timestamp","value":"2022-08-24T13:35:46","string":"2022-08-24T13:35:46"},"subject":{"kind":"string","value":"Private token handling (#517)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/doc-pr-build.yml b/.github/workflows/doc-pr-build.yml\nindex e96da13a..ec7d1fd5 100644\n--- a/.github/workflows/doc-pr-build.yml\n+++ b/.github/workflows/doc-pr-build.yml\n@@ -20,0 +21,2 @@ jobs:\n+ secrets:\n+ token: ${{ secrets.HUGGINGFACE_PUSH }}\ndiff --git a/.github/workflows/doc-pr-delete.yml b/.github/workflows/doc-pr-delete.yml\nindex dbc52172..76afa9c9 100644\n--- a/.github/workflows/doc-pr-delete.yml\n+++ b/.github/workflows/doc-pr-delete.yml\n@@ -13,0 +14,2 @@ jobs:\n+ secrets:\n+ token: ${{ secrets.HUGGINGFACE_PUSH }}"}}},{"rowIdx":1664,"cells":{"hash":{"kind":"string","value":"4b2b83b741bc01ad790399171f10f431f53cef1e"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-22T18:34:09","string":"2022-08-22T18:34:09"},"subject":{"kind":"string","value":"test: 💍 test cookie authentication (#514)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml\nindex 9212d3fc..d8f2a0da 100644\n--- a/.github/workflows/_e2e_tests.yml\n+++ b/.github/workflows/_e2e_tests.yml\n@@ -72 +72 @@ jobs:\n- HF_TOKEN: \"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\"\n+ HF_TOKEN: \"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\"\ndiff --git a/README.md b/README.md\nindex f22d7af9..00add7ec 100644\n--- a/README.md\n+++ b/README.md\n@@ -59 +59 @@ The Hugging Face Hub instance can be configured thanks to `HF_ENDPOINT`, so that\n-| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` |\n+| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` |\ndiff --git a/e2e/Makefile b/e2e/Makefile\nindex efc6da51..62320d57 100644\n--- a/e2e/Makefile\n+++ b/e2e/Makefile\n@@ -9 +9 @@ export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co\n-export TEST_HF_TOKEN := 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\n+export TEST_HF_TOKEN := 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\ndiff --git a/e2e/tests/fixtures/hub.py b/e2e/tests/fixtures/hub.py\nindex 5367280e..d500dcad 100644\n--- a/e2e/tests/fixtures/hub.py\n+++ b/e2e/tests/fixtures/hub.py\n@@ -17,2 +17,7 @@ from huggingface_hub.hf_api import ( # type: ignore\n-CI_HUB_USER = \"__DUMMY_TRANSFORMERS_USER__\"\n-CI_HUB_USER_TOKEN = \"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\"\n+# see https://github.com/huggingface/moon-landing/blob/main/server/scripts/staging-seed-db.ts\n+CI_HUB_USER = \"__DUMMY_DATASETS_SERVER_USER__\"\n+CI_HUB_USER_API_TOKEN = \"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\"\n+CI_HUB_USER_SESSION_TOKEN = (\n+ \"oMidckPVQYumfKrAHNYKqnbacRoLaMppHRRlfNbupNahzAHCz\"\n+ \"InBVbhgGosDneYXHVTKkkWygoMDxBfFUkFPIPiVWBtZtSTYIYTScnEKAJYkyGBAcbVTbokAygCCTWvH\"\n+)\n@@ -98,2 +103,2 @@ def set_ci_hub_access_token() -> Iterable[None]:\n- _api.set_access_token(CI_HUB_USER_TOKEN)\n- HfFolder.save_token(CI_HUB_USER_TOKEN)\n+ _api.set_access_token(CI_HUB_USER_API_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_API_TOKEN)\n@@ -112,3 +117,3 @@ def hf_token(hf_api: HfApi) -> Iterable[str]:\n- hf_api.set_access_token(CI_HUB_USER_TOKEN)\n- HfFolder.save_token(CI_HUB_USER_TOKEN)\n- yield CI_HUB_USER_TOKEN\n+ hf_api.set_access_token(CI_HUB_USER_API_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_API_TOKEN)\n+ yield CI_HUB_USER_API_TOKEN\n@@ -122 +127 @@ def cleanup_repo(hf_api: HfApi):\n- hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_TOKEN, repo_type=\"dataset\")\n+ hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_API_TOKEN, repo_type=\"dataset\")\n@@ -219 +224 @@ def hf_dataset_repos_csv_data(\n-AuthType = Literal[\"token\", \"none\"]\n+AuthType = Literal[\"cookie\", \"token\", \"none\"]\n@@ -225 +230,5 @@ def auth_headers() -> AuthHeaders:\n- return {\"none\": {}, \"token\": {\"Authorization\": f\"Bearer {CI_HUB_USER_TOKEN}\"}}\n+ return {\n+ \"none\": {},\n+ \"token\": {\"Authorization\": f\"Bearer {CI_HUB_USER_API_TOKEN}\"},\n+ \"cookie\": {\"Cookie\": f\"token={CI_HUB_USER_SESSION_TOKEN}\"},\n+ }\ndiff --git a/e2e/tests/test_30_auth.py b/e2e/tests/test_30_auth.py\nindex 947c13b7..8a0037fb 100644\n--- a/e2e/tests/test_30_auth.py\n+++ b/e2e/tests/test_30_auth.py\n@@ -45,9 +45,10 @@ def test_splits_next_public_auth(\n- if type == \"private\":\n- # no need to refresh, it's not implemented.\n- # TODO: the webhook should respond 501 Not implemented when provided with a private dataset\n- # (and delete the cache if existing)\n- r_splits = get(f\"/splits-next?dataset={dataset}\", headers=auth_headers[auth])\n- r_rows = get(f\"/first-rows?dataset={dataset}&config={config}&split={split}\", headers=auth_headers[auth])\n- else:\n- r_splits = refresh_poll_splits_next(dataset, headers=auth_headers[auth])\n- r_rows = poll_first_rows(dataset, config, split, headers=auth_headers[auth])\n+ # pivate: no need to refresh, it's not implemented.\n+ # TODO: the webhook should respond 501 Not implemented when provided with a private dataset\n+ # (and delete the cache if existing)\n+ r_splits = (\n+ get(f\"/splits-next?dataset={dataset}\", headers=auth_headers[auth])\n+ if type == \"private\"\n+ else refresh_poll_splits_next(dataset, headers=auth_headers[auth])\n+ )\n+ assert r_splits.status_code == status_code, log(r_splits, dataset)\n+ assert r_splits.headers.get(\"X-Error-Code\") == error_code_splits_next, log(r_splits, dataset)\n@@ -55 +56,5 @@ def test_splits_next_public_auth(\n- assert r_splits.status_code == status_code, log(r_rows, dataset)\n+ r_rows = (\n+ get(f\"/first-rows?dataset={dataset}&config={config}&split={split}\", headers=auth_headers[auth])\n+ if type == \"private\"\n+ else poll_first_rows(dataset, config, split, headers=auth_headers[auth])\n+ )\n@@ -57,2 +61,0 @@ def test_splits_next_public_auth(\n-\n- assert r_splits.headers.get(\"X-Error-Code\") == error_code_splits_next, log(r_rows, dataset)"}}},{"rowIdx":1665,"cells":{"hash":{"kind":"string","value":"41ecd207b65c06aee447a221a45c44362e80d550"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-12T21:56:27","string":"2022-08-12T21:56:27"},"subject":{"kind":"string","value":"docs: ✏️ fix list and sequence features (#512)"},"diff":{"kind":"string","value":"diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 9eba80fb..895a7879 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -647 +647 @@\n- \"$ref\": \"#/components/schemas/DictFeature\"\n+ \"$ref\": \"#/components/schemas/Feature\"\n@@ -660 +660 @@\n- \"$ref\": \"#/components/schemas/DictFeature\"\n+ \"$ref\": \"#/components/schemas/Feature\""}}},{"rowIdx":1666,"cells":{"hash":{"kind":"string","value":"487c39d87998f8d5a35972f1027d6c8e588e622d"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-08T19:32:09","string":"2022-08-08T19:32:09"},"subject":{"kind":"string","value":"Add expected x error code headers (#509)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/openapi-spec.yml b/.github/workflows/openapi-spec.yml\nnew file mode 100644\nindex 00000000..0ad6f243\n--- /dev/null\n+++ b/.github/workflows/openapi-spec.yml\n@@ -0,0 +1,38 @@\n+name: Check openapi specification\n+on:\n+ workflow_dispatch:\n+ push:\n+ paths:\n+ - 'chart/static-files/opanapi.json'\n+ - '.github/workflows/openapi.yml'\n+env:\n+ python-version: 3.9.6\n+ poetry-version: 1.1.13\n+ # required to get access to use a cached poetry venv in \"/home/runner/.cache/pypoetry/virtualenvs\"\n+ POETRY_VIRTUALENVS_IN_PROJECT: false\n+ working-directory: e2e\n+jobs:\n+ check-openapi-spec:\n+ defaults:\n+ run:\n+ shell: bash\n+ working-directory: e2e\n+ runs-on: \"ubuntu-latest\"\n+ steps:\n+ - uses: actions/checkout@v3\n+ - name: Install poetry\n+ run: pipx install poetry==${{ env.poetry-version }}\n+ - name: Use Python\n+ uses: actions/setup-python@v3\n+ with:\n+ python-version: ${{ env.python-version }}\n+ cache: 'poetry'\n+ cache-dependency-path: |\n+ ${{ env.working-directory }}/poetry.lock\n+ - name: Install dependencies\n+ run: |\n+ poetry env use \"${{ env.python-version }}\"\n+ poetry install\n+ - name: Check openapi spec\n+ run: |\n+ poetry run python -m openapi_spec_validator ../chart/static-files/openapi.json\ndiff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 5bd47ecc..9eba80fb 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -35,4 +35,258 @@\n- \"X-Error-Code\": {\n- \"description\": \"A string that identifies the underlying error.\",\n- \"schema\": { \"type\": \"string\" },\n- \"example\": \"DatasetNotFoundError\",\n+ \"X-Error-Code-splits-next-401\": {\n+ \"description\": \"A string that identifies the underlying error for 401 on /splits-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"ExternalUnauthenticatedError\"]\n+ },\n+ \"examples\": {\n+ \"ExternalUnauthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n+ \"value\": \"ExternalUnauthenticatedError\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-splits-next-404\": {\n+ \"description\": \"A string that identifies the underlying error for 404 on /splits-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\n+ \"ExternalAuthenticatedError\",\n+ \"DatasetNotFoundError\",\n+ \"SplitsResponseNotFound\"\n+ ]\n+ },\n+ \"examples\": {\n+ \"ExternalAuthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n+ \"value\": \"ExternalAuthenticatedError\"\n+ },\n+ \"DatasetNotFoundError\": {\n+ \"summary\": \"The dataset does not exist on the Hub.\",\n+ \"value\": \"DatasetNotFoundError\"\n+ },\n+ \"SplitsResponseNotFound\": {\n+ \"summary\": \"Not found.\",\n+ \"value\": \"SplitsResponseNotFound\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-splits-next-422\": {\n+ \"description\": \"A string that identifies the underlying error for 422 on /splits-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"MissingRequiredParameter\"]\n+ },\n+ \"examples\": {\n+ \"MissingRequiredParameter\": {\n+ \"summary\": \"Parameter 'dataset' is required\",\n+ \"value\": \"MissingRequiredParameter\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-splits-next-500\": {\n+ \"description\": \"A string that identifies the underlying error for 500 on /splits-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\n+ \"SplitsResponseNotReadyError\",\n+ \"SplitsNamesError\",\n+ \"UnexpectedError\"\n+ ]\n+ },\n+ \"examples\": {\n+ \"SplitsResponseNotReadyError\": {\n+ \"summary\": \"The list of splits is not ready yet. Please retry later.\",\n+ \"value\": \"SplitsResponseNotReadyError\"\n+ },\n+ \"SplitsNamesError\": {\n+ \"summary\": \"Cannot get the split names for the dataset.\",\n+ \"value\": \"SplitsNamesError\"\n+ },\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-first-rows-401\": {\n+ \"description\": \"A string that identifies the underlying error for 401 on /first-rows.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"ExternalUnauthenticatedError\"]\n+ },\n+ \"examples\": {\n+ \"ExternalUnauthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n+ \"value\": \"ExternalUnauthenticatedError\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-first-rows-404\": {\n+ \"description\": \"A string that identifies the underlying error for 404 on /first-rows.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\n+ \"ExternalAuthenticatedError\",\n+ \"DatasetNotFoundError\",\n+ \"ConfigNotFoundError\",\n+ \"SplitNotFoundError\",\n+ \"FirstRowsResponseNotFound\"\n+ ]\n+ },\n+ \"examples\": {\n+ \"ExternalAuthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n+ \"value\": \"ExternalAuthenticatedError\"\n+ },\n+ \"DatasetNotFoundError\": {\n+ \"summary\": \"The dataset does not exist on the Hub.\",\n+ \"value\": \"DatasetNotFoundError\"\n+ },\n+ \"ConfigNotFoundError\": {\n+ \"summary\": \"config yyy does not exist for dataset xxx\",\n+ \"value\": \"ConfigNotFoundError\"\n+ },\n+ \"SplitNotFoundError\": {\n+ \"summary\": \"The config or the split does not exist in the dataset\",\n+ \"value\": \"SplitNotFoundError\"\n+ },\n+ \"FirstRowsResponseNotFound\": {\n+ \"summary\": \"Not found.\",\n+ \"value\": \"FirstRowsResponseNotFound\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-first-rows-422\": {\n+ \"description\": \"A string that identifies the underlying error for 422 on /first-rows.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"MissingRequiredParameter\"]\n+ },\n+ \"examples\": {\n+ \"MissingRequiredParameter\": {\n+ \"summary\": \"Parameters 'dataset', 'config' and 'split' are required\",\n+ \"value\": \"MissingRequiredParameter\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-first-rows-500\": {\n+ \"description\": \"A string that identifies the underlying error for 500 on /first-rows.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\n+ \"FirstRowsResponseNotReady\",\n+ \"InfoError\",\n+ \"FeaturesError\",\n+ \"StreamingRowsError\",\n+ \"NormalRowsError\",\n+ \"RowsPostProcessingError\",\n+ \"UnexpectedError\"\n+ ]\n+ },\n+ \"examples\": {\n+ \"FirstRowsResponseNotReady\": {\n+ \"summary\": \"The list of the first rows is not ready yet. Please retry later.\",\n+ \"value\": \"FirstRowsResponseNotReady\"\n+ },\n+ \"InfoError\": {\n+ \"summary\": \"The info cannot be fetched for the dataset config.\",\n+ \"value\": \"InfoError\"\n+ },\n+ \"FeaturesError\": {\n+ \"summary\": \"The split features (columns) cannot be extracted.\",\n+ \"value\": \"FeaturesError\"\n+ },\n+ \"StreamingRowsError\": {\n+ \"summary\": \"Cannot load the dataset split (in streaming mode) to extract the first rows.\",\n+ \"value\": \"StreamingRowsError\"\n+ },\n+ \"NormalRowsError\": {\n+ \"summary\": \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n+ \"value\": \"NormalRowsError\"\n+ },\n+ \"RowsPostProcessingError\": {\n+ \"summary\": \"Server error while post-processing the split rows. Please report the issue.\",\n+ \"value\": \"RowsPostProcessingError\"\n+ },\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-valid-next-500\": {\n+ \"description\": \"A string that identifies the underlying error for 500 on /valid-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"UnexpectedError\"]\n+ },\n+ \"examples\": {\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-is-valid-next-401\": {\n+ \"description\": \"A string that identifies the underlying error for 401 on /is-valid-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"ExternalUnauthenticatedError\"]\n+ },\n+ \"examples\": {\n+ \"ExternalUnauthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n+ \"value\": \"ExternalUnauthenticatedError\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-is-valid-next-404\": {\n+ \"description\": \"A string that identifies the underlying error for 404 on /is-valid-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"ExternalAuthenticatedError\"]\n+ },\n+ \"examples\": {\n+ \"ExternalAuthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n+ \"value\": \"ExternalAuthenticatedError\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-is-valid-next-422\": {\n+ \"description\": \"A string that identifies the underlying error for 422 on /is-valid-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"MissingRequiredParameter\"]\n+ },\n+ \"examples\": {\n+ \"MissingRequiredParameter\": {\n+ \"summary\": \"Parameter 'dataset' is required\",\n+ \"value\": \"MissingRequiredParameter\"\n+ }\n+ },\n+ \"required\": true\n+ },\n+ \"X-Error-Code-is-valid-next-500\": {\n+ \"description\": \"A string that identifies the underlying error for 500 on /is-valid-next.\",\n+ \"schema\": {\n+ \"type\": \"string\",\n+ \"enum\": [\"UnexpectedError\"]\n+ },\n+ \"examples\": {\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ },\n@@ -1908 +2162 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code-valid-next-500\"\n@@ -2020 +2274 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-401\"\n@@ -2061 +2315 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-404\"\n@@ -2102 +2356 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-422\"\n@@ -2133 +2387 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-500\"\n@@ -2308,7 +2562 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"ExternalUnauthenticatedError\": {\n- \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n- \"value\": \"ExternalUnauthenticatedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-splits-next-401\"\n@@ -2355,15 +2603 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"ExternalAuthenticatedError\": {\n- \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n- \"value\": \"ExternalAuthenticatedError\"\n- },\n- \"DatasetNotFoundError\": {\n- \"summary\": \"The dataset does not exist on the Hub.\",\n- \"value\": \"DatasetNotFoundError\"\n- },\n- \"SplitsResponseNotFound\": {\n- \"summary\": \"Not found.\",\n- \"value\": \"SplitsResponseNotFound\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-splits-next-404\"\n@@ -2410,7 +2644 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"MissingRequiredParameter\": {\n- \"summary\": \"Parameter 'dataset' is required\",\n- \"value\": \"MissingRequiredParameter\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-splits-next-422\"\n@@ -2447,15 +2675 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"SplitsResponseNotReadyError\": {\n- \"summary\": \"The list of splits is not ready yet. Please retry later.\",\n- \"value\": \"SplitsResponseNotReadyError\"\n- },\n- \"SplitsNamesError\": {\n- \"summary\": \"Cannot get the split names for the dataset.\",\n- \"value\": \"SplitsNamesError\"\n- },\n- \"UnexpectedError\": {\n- \"summary\": \"Unexpected error.\",\n- \"value\": \"UnexpectedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-splits-next-500\"\n@@ -3172,7 +3386 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"ExternalUnauthenticatedError\": {\n- \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n- \"value\": \"ExternalUnauthenticatedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-first-rows-401\"\n@@ -3219,23 +3427 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"ExternalAuthenticatedError\": {\n- \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n- \"value\": \"ExternalAuthenticatedError\"\n- },\n- \"DatasetNotFoundError\": {\n- \"summary\": \"The dataset does not exist on the Hub.\",\n- \"value\": \"DatasetNotFoundError\"\n- },\n- \"ConfigNotFoundError\": {\n- \"summary\": \"config yyy does not exist for dataset xxx\",\n- \"value\": \"ConfigNotFoundError\"\n- },\n- \"SplitNotFoundError\": {\n- \"summary\": \"The config or the split does not exist in the dataset\",\n- \"value\": \"SplitNotFoundError\"\n- },\n- \"FirstRowsResponseNotFound\": {\n- \"summary\": \"Not found.\",\n- \"value\": \"FirstRowsResponseNotFound\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-first-rows-404\"\n@@ -3290,7 +3476 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"MissingRequiredParameter\": {\n- \"summary\": \"Parameters 'dataset', 'config' and 'split' are required\",\n- \"value\": \"MissingRequiredParameter\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-first-rows-422\"\n@@ -3355,31 +3535 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"FirstRowsResponseNotReady\": {\n- \"summary\": \"The list of the first rows is not ready yet. Please retry later.\",\n- \"value\": \"FirstRowsResponseNotReady\"\n- },\n- \"InfoError\": {\n- \"summary\": \"The info cannot be fetched for the dataset config.\",\n- \"value\": \"InfoError\"\n- },\n- \"FeaturesError\": {\n- \"summary\": \"The split features (columns) cannot be extracted.\",\n- \"value\": \"FeaturesError\"\n- },\n- \"StreamingRowsError\": {\n- \"summary\": \"Cannot load the dataset split (in streaming mode) to extract the first rows.\",\n- \"value\": \"StreamingRowsError\"\n- },\n- \"NormalRowsError\": {\n- \"summary\": \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n- \"value\": \"NormalRowsError\"\n- },\n- \"RowsPostProcessingError\": {\n- \"summary\": \"Server error while post-processing the split rows. Please report the issue.\",\n- \"value\": \"RowsPostProcessingError\"\n- },\n- \"UnexpectedError\": {\n- \"summary\": \"Unexpected error.\",\n- \"value\": \"UnexpectedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-first-rows-500\"\n@@ -3571,7 +3721 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"UnexpectedError\": {\n- \"summary\": \"Unexpected error.\",\n- \"value\": \"UnexpectedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-valid-next-500\"\n@@ -3689,7 +3833 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"ExternalUnauthenticatedError\": {\n- \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n- \"value\": \"ExternalUnauthenticatedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-401\"\n@@ -3736,7 +3874 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"ExternalAuthenticatedError\": {\n- \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n- \"value\": \"ExternalAuthenticatedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-404\"\n@@ -3783,7 +3915 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"MissingRequiredParameter\": {\n- \"summary\": \"Parameter 'dataset' is required\",\n- \"value\": \"MissingRequiredParameter\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-422\"\n@@ -3820,7 +3946 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\",\n- \"examples\": {\n- \"UnexpectedError\": {\n- \"summary\": \"Unexpected error.\",\n- \"value\": \"UnexpectedError\"\n- }\n- }\n+ \"$ref\": \"#/components/headers/X-Error-Code-is-valid-next-500\"\ndiff --git a/e2e/Makefile b/e2e/Makefile\nindex 24545275..efc6da51 100644\n--- a/e2e/Makefile\n+++ b/e2e/Makefile\n@@ -20,0 +21,4 @@ e2e:\n+\n+.PHONY: openapi\n+openapi:\n+\tpoetry run python -m openapi_spec_validator ../chart/static-files/openapi.json\ndiff --git a/e2e/poetry.lock b/e2e/poetry.lock\nindex fdaaff38..c6c45611 100644\n--- a/e2e/poetry.lock\n+++ b/e2e/poetry.lock\n@@ -219,0 +220,16 @@ plugins = [\"setuptools\"]\n+[[package]]\n+name = \"jsonschema\"\n+version = \"4.9.1\"\n+description = \"An implementation of JSON Schema validation for Python\"\n+category = \"main\"\n+optional = false\n+python-versions = \">=3.7\"\n+\n+[package.dependencies]\n+attrs = \">=17.4.0\"\n+pyrsistent = \">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2\"\n+\n+[package.extras]\n+format = [\"fqdn\", \"idna\", \"isoduration\", \"jsonpointer (>1.13)\", \"rfc3339-validator\", \"rfc3987\", \"uri-template\", \"webcolors (>=1.11)\"]\n+format-nongpl = [\"fqdn\", \"idna\", \"isoduration\", \"jsonpointer (>1.13)\", \"rfc3339-validator\", \"rfc3986-validator (>0.1.0)\", \"uri-template\", \"webcolors (>=1.11)\"]\n+\n@@ -251,0 +268,32 @@ python-versions = \"*\"\n+[[package]]\n+name = \"openapi-schema-validator\"\n+version = \"0.2.3\"\n+description = \"OpenAPI schema validation for Python\"\n+category = \"main\"\n+optional = false\n+python-versions = \">=3.7.0,<4.0.0\"\n+\n+[package.dependencies]\n+jsonschema = \">=3.0.0,<5.0.0\"\n+\n+[package.extras]\n+isodate = [\"isodate\"]\n+strict-rfc3339 = [\"strict-rfc3339\"]\n+rfc3339-validator = [\"rfc3339-validator\"]\n+\n+[[package]]\n+name = \"openapi-spec-validator\"\n+version = \"0.4.0\"\n+description = \"OpenAPI 2.0 (aka Swagger) and OpenAPI 3.0 spec validator\"\n+category = \"main\"\n+optional = false\n+python-versions = \">=3.7.0,<4.0.0\"\n+\n+[package.dependencies]\n+jsonschema = \">=3.2.0,<5.0.0\"\n+openapi-schema-validator = \">=0.2.0,<0.3.0\"\n+PyYAML = \">=5.1\"\n+\n+[package.extras]\n+requests = [\"requests\"]\n+\n@@ -348,0 +397,8 @@ diagrams = [\"railroad-diagrams\", \"jinja2\"]\n+[[package]]\n+name = \"pyrsistent\"\n+version = \"0.18.1\"\n+description = \"Persistent/Functional/Immutable data structures\"\n+category = \"main\"\n+optional = false\n+python-versions = \">=3.7\"\n+\n@@ -502 +558 @@ python-versions = \"3.9.6\"\n-content-hash = \"6d69ff2d0da11c31836f90cb10a1d45aa72c79e5c69172b4165531745c0d6dd5\"\n+content-hash = \"4c6498356591a3ad7c3d08341482301d79e1d83481311d2bf2eb3af59be2687e\"\n@@ -590,0 +647 @@ isort = [\n+jsonschema = []\n@@ -622,0 +680,2 @@ mypy-extensions = [\n+openapi-schema-validator = []\n+openapi-spec-validator = []\n@@ -662,0 +722,23 @@ pyparsing = [\n+pyrsistent = [\n+ {file = \"pyrsistent-0.18.1-cp310-cp310-macosx_10_9_universal2.whl\", hash = \"sha256:df46c854f490f81210870e509818b729db4488e1f30f2a1ce1698b2295a878d1\"},\n+ {file = \"pyrsistent-0.18.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\", hash = \"sha256:5d45866ececf4a5fff8742c25722da6d4c9e180daa7b405dc0a2a2790d668c26\"},\n+ {file = \"pyrsistent-0.18.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl\", hash = \"sha256:4ed6784ceac462a7d6fcb7e9b663e93b9a6fb373b7f43594f9ff68875788e01e\"},\n+ {file = \"pyrsistent-0.18.1-cp310-cp310-win32.whl\", hash = \"sha256:e4f3149fd5eb9b285d6bfb54d2e5173f6a116fe19172686797c056672689daf6\"},\n+ {file = \"pyrsistent-0.18.1-cp310-cp310-win_amd64.whl\", hash = \"sha256:636ce2dc235046ccd3d8c56a7ad54e99d5c1cd0ef07d9ae847306c91d11b5fec\"},\n+ {file = \"pyrsistent-0.18.1-cp37-cp37m-macosx_10_9_x86_64.whl\", hash = \"sha256:e92a52c166426efbe0d1ec1332ee9119b6d32fc1f0bbfd55d5c1088070e7fc1b\"},\n+ {file = \"pyrsistent-0.18.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\", hash = \"sha256:d7a096646eab884bf8bed965bad63ea327e0d0c38989fc83c5ea7b8a87037bfc\"},\n+ {file 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\"sha256:0e3e1fcc45199df76053026a51cc59ab2ea3fc7c094c6627e93b7b44cdae2c8c\"},\n+ {file = \"pyrsistent-0.18.1-cp38-cp38-win32.whl\", hash = \"sha256:b568f35ad53a7b07ed9b1b2bae09eb15cdd671a5ba5d2c66caee40dbf91c68ca\"},\n+ {file = \"pyrsistent-0.18.1-cp38-cp38-win_amd64.whl\", hash = \"sha256:d1b96547410f76078eaf66d282ddca2e4baae8964364abb4f4dcdde855cd123a\"},\n+ {file = \"pyrsistent-0.18.1-cp39-cp39-macosx_10_9_universal2.whl\", hash = \"sha256:f87cc2863ef33c709e237d4b5f4502a62a00fab450c9e020892e8e2ede5847f5\"},\n+ {file = \"pyrsistent-0.18.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl\", hash = \"sha256:6bc66318fb7ee012071b2792024564973ecc80e9522842eb4e17743604b5e045\"},\n+ {file = \"pyrsistent-0.18.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl\", hash = \"sha256:914474c9f1d93080338ace89cb2acee74f4f666fb0424896fcfb8d86058bf17c\"},\n+ {file = \"pyrsistent-0.18.1-cp39-cp39-win32.whl\", hash = \"sha256:1b34eedd6812bf4d33814fca1b66005805d3640ce53140ab8bbb1e2651b0d9bc\"},\n+ {file = \"pyrsistent-0.18.1-cp39-cp39-win_amd64.whl\", hash = \"sha256:e24a828f57e0c337c8d8bb9f6b12f09dfdf0273da25fda9e314f0b684b415a07\"},\n+ {file = \"pyrsistent-0.18.1.tar.gz\", hash = \"sha256:d4d61f8b993a7255ba714df3aca52700f8125289f84f704cf80916517c46eb96\"},\n+]\ndiff --git a/e2e/pyproject.toml b/e2e/pyproject.toml\nindex 89e4f273..e788c734 100644\n--- a/e2e/pyproject.toml\n+++ b/e2e/pyproject.toml\n@@ -7,0 +8 @@ version = \"0.1.0\"\n+openapi-spec-validator = \"^0.4.0\""}}},{"rowIdx":1667,"cells":{"hash":{"kind":"string","value":"c8e8a8625cd0831c57b9ad27d1afb25091fc2388"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-08T18:55:57","string":"2022-08-08T18:55:57"},"subject":{"kind":"string","value":"docs: ✏️ add the expected X-Error-Code values (#508)"},"diff":{"kind":"string","value":"diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex b7217191..5bd47ecc 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -2308 +2308,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"ExternalUnauthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n+ \"value\": \"ExternalUnauthenticatedError\"\n+ }\n+ }\n@@ -2349 +2355,15 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"ExternalAuthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n+ \"value\": \"ExternalAuthenticatedError\"\n+ },\n+ \"DatasetNotFoundError\": {\n+ \"summary\": \"The dataset does not exist on the Hub.\",\n+ \"value\": \"DatasetNotFoundError\"\n+ },\n+ \"SplitsResponseNotFound\": {\n+ \"summary\": \"Not found.\",\n+ \"value\": \"SplitsResponseNotFound\"\n+ }\n+ }\n@@ -2390 +2410,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"MissingRequiredParameter\": {\n+ \"summary\": \"Parameter 'dataset' is required\",\n+ \"value\": \"MissingRequiredParameter\"\n+ }\n+ }\n@@ -2421 +2447,15 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"SplitsResponseNotReadyError\": {\n+ \"summary\": \"The list of splits is not ready yet. Please retry later.\",\n+ \"value\": \"SplitsResponseNotReadyError\"\n+ },\n+ \"SplitsNamesError\": {\n+ \"summary\": \"Cannot get the split names for the dataset.\",\n+ \"value\": \"SplitsNamesError\"\n+ },\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ }\n@@ -3132 +3172,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"ExternalUnauthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n+ \"value\": \"ExternalUnauthenticatedError\"\n+ }\n+ }\n@@ -3173 +3219,23 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"ExternalAuthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n+ \"value\": \"ExternalAuthenticatedError\"\n+ },\n+ \"DatasetNotFoundError\": {\n+ \"summary\": \"The dataset does not exist on the Hub.\",\n+ \"value\": \"DatasetNotFoundError\"\n+ },\n+ \"ConfigNotFoundError\": {\n+ \"summary\": \"config yyy does not exist for dataset xxx\",\n+ \"value\": \"ConfigNotFoundError\"\n+ },\n+ \"SplitNotFoundError\": {\n+ \"summary\": \"The config or the split does not exist in the dataset\",\n+ \"value\": \"SplitNotFoundError\"\n+ },\n+ \"FirstRowsResponseNotFound\": {\n+ \"summary\": \"Not found.\",\n+ \"value\": \"FirstRowsResponseNotFound\"\n+ }\n+ }\n@@ -3222 +3290,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"MissingRequiredParameter\": {\n+ \"summary\": \"Parameters 'dataset', 'config' and 'split' are required\",\n+ \"value\": \"MissingRequiredParameter\"\n+ }\n+ }\n@@ -3281 +3355,31 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"FirstRowsResponseNotReady\": {\n+ \"summary\": \"The list of the first rows is not ready yet. Please retry later.\",\n+ \"value\": \"FirstRowsResponseNotReady\"\n+ },\n+ \"InfoError\": {\n+ \"summary\": \"The info cannot be fetched for the dataset config.\",\n+ \"value\": \"InfoError\"\n+ },\n+ \"FeaturesError\": {\n+ \"summary\": \"The split features (columns) cannot be extracted.\",\n+ \"value\": \"FeaturesError\"\n+ },\n+ \"StreamingRowsError\": {\n+ \"summary\": \"Cannot load the dataset split (in streaming mode) to extract the first rows.\",\n+ \"value\": \"StreamingRowsError\"\n+ },\n+ \"NormalRowsError\": {\n+ \"summary\": \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n+ \"value\": \"NormalRowsError\"\n+ },\n+ \"RowsPostProcessingError\": {\n+ \"summary\": \"Server error while post-processing the split rows. Please report the issue.\",\n+ \"value\": \"RowsPostProcessingError\"\n+ },\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ }\n@@ -3467 +3571,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ }\n@@ -3579 +3689,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"ExternalUnauthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\",\n+ \"value\": \"ExternalUnauthenticatedError\"\n+ }\n+ }\n@@ -3620 +3736,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"ExternalAuthenticatedError\": {\n+ \"summary\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\",\n+ \"value\": \"ExternalAuthenticatedError\"\n+ }\n+ }\n@@ -3661 +3783,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"MissingRequiredParameter\": {\n+ \"summary\": \"Parameter 'dataset' is required\",\n+ \"value\": \"MissingRequiredParameter\"\n+ }\n+ }\n@@ -3692 +3820,7 @@\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n+ \"$ref\": \"#/components/headers/X-Error-Code\",\n+ \"examples\": {\n+ \"UnexpectedError\": {\n+ \"summary\": \"Unexpected error.\",\n+ \"value\": \"UnexpectedError\"\n+ }\n+ }\ndiff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py\nindex 746b170b..92107018 100644\n--- a/services/worker/src/worker/responses/first_rows.py\n+++ b/services/worker/src/worker/responses/first_rows.py\n@@ -303 +303 @@ def get_first_rows_response(\n- # ^ can raise DoesNotExistError or DatasetError\n+ # ^ can raise DatasetNotFoundError or SplitsNamesError"}}},{"rowIdx":1668,"cells":{"hash":{"kind":"string","value":"a0941c3cb706951bb372cc574477016ee8b741b1"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-08T17:52:05","string":"2022-08-08T17:52:05"},"subject":{"kind":"string","value":"docs: ✏️ fix duplicate paths (#506)"},"diff":{"kind":"string","value":"diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 97b21c3d..b7217191 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -768,10 +767,0 @@\n- \"ValidNextResponse\": {\n- \"type\": \"object\",\n- \"required\": [\"valid\"],\n- \"properties\": {\n- \"valid\": {\n- \"type\": \"array\",\n- \"items\": { \"type\": \"string\" }\n- }\n- }\n- },\n@@ -3428,313 +3417,0 @@\n- \"externalDocs\": {\n- \"description\": \"See Valid datasets (Hub docs)\",\n- \"url\": \"https://huggingface.co/docs/datasets-server/valid\"\n- },\n- \"operationId\": \"listValidDatasetsNext\",\n- \"parameters\": [],\n- \"responses\": {\n- \"200\": {\n- \"description\": \"The valid datasets.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/ValidNextResponse\"\n- },\n- \"examples\": {\n- \"valid\": {\n- \"summary\": \"list of datasets\",\n- \"value\": {\n- \"valid\": [\n- \"0n1xus/codexglue\",\n- \"0n1xus/pytorrent-standalone\",\n- \"0x7194633/rupile\",\n- \"51la5/keyword-extraction\",\n- \"AHussain0418/day2_data\"\n- ]\n- }\n- }\n- }\n- }\n- }\n- },\n- \"500\": {\n- \"description\": \"The server crashed.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- },\n- \"X-Error-Code\": {\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/CustomError\"\n- },\n- \"examples\": {\n- \"internal\": {\n- \"summary\": \"internal error\",\n- \"value\": {\n- \"error\": \"Unexpected error.\"\n- }\n- }\n- }\n- },\n- \"text/plain\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n- },\n- \"examples\": {\n- \"internal\": {\n- \"summary\": \"internal error\",\n- \"value\": {\n- \"error\": \"Internal Server Error\"\n- }\n- }\n- }\n- }\n- }\n- }\n- }\n- }\n- },\n- \"/is-valid-next\": {\n- \"get\": {\n- \"summary\": \"Check if a dataset is valid (experimental)\",\n- \"description\": \"Check if a dataset works without an error (for /splits-next and /first-rows).\",\n- \"externalDocs\": {\n- \"description\": \"See Valid datasets (Hub docs)\",\n- \"url\": \"https://huggingface.co/docs/datasets-server/valid\"\n- },\n- \"operationId\": \"isValidDatasetNext\",\n- \"security\": [\n- {},\n- {\n- \"HuggingFaceCookie\": []\n- },\n- {\n- \"HuggingFaceToken\": []\n- }\n- ],\n- \"parameters\": [\n- {\n- \"name\": \"dataset\",\n- \"in\": \"query\",\n- \"description\": \"The identifier of the dataset on the Hub.\",\n- \"required\": true,\n- \"schema\": { \"type\": \"string\" },\n- \"examples\": {\n- \"glue\": { \"summary\": \"a canonical dataset\", \"value\": \"glue\" },\n- \"Helsinki-NLP/tatoeba_mt\": {\n- \"summary\": \"a namespaced dataset\",\n- \"value\": \"Helsinki-NLP/tatoeba_mt\"\n- }\n- }\n- }\n- ],\n- \"responses\": {\n- \"200\": {\n- \"description\": \"The valid datasets.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/IsValidResponse\"\n- },\n- \"examples\": {\n- \"valid\": {\n- \"summary\": \"valid dataset\",\n- \"value\": {\n- \"valid\": true\n- }\n- },\n- \"invalid\": {\n- \"summary\": \"invalid dataset\",\n- \"value\": {\n- \"valid\": false\n- }\n- }\n- }\n- }\n- }\n- },\n- \"401\": {\n- \"description\": \"If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- },\n- \"X-Error-Code\": {\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/CustomError\"\n- },\n- \"examples\": {\n- \"inexistent-dataset\": {\n- \"summary\": \"The dataset does not exist.\",\n- \"value\": {\n- \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n- }\n- },\n- \"gated-dataset\": {\n- \"summary\": \"The dataset is gated.\",\n- \"value\": {\n- \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n- }\n- },\n- \"private-dataset\": {\n- \"summary\": \"The dataset is private.\",\n- \"value\": {\n- \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n- }\n- }\n- }\n- }\n- }\n- },\n- \"404\": {\n- \"description\": \"If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- },\n- \"X-Error-Code\": {\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/CustomError\"\n- },\n- \"examples\": {\n- \"inexistent-dataset\": {\n- \"summary\": \"The dataset does not exist, while authentication was provided in the request.\",\n- \"value\": {\n- \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n- }\n- },\n- \"gated-dataset\": {\n- \"summary\": \"The dataset is gated, while authentication was provided in the request.\",\n- \"value\": {\n- \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n- }\n- },\n- \"private-dataset\": {\n- \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n- \"value\": {\n- \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n- }\n- }\n- }\n- }\n- }\n- },\n- \"422\": {\n- \"description\": \"The `dataset` parameter has not been provided.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- },\n- \"X-Error-Code\": {\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/CustomError\"\n- },\n- \"examples\": {\n- \"missing-parameter\": {\n- \"summary\": \"The dataset parameter is missing.\",\n- \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n- },\n- \"empty-parameter\": {\n- \"summary\": \"The dataset parameter is empty (?dataset=).\",\n- \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n- }\n- }\n- }\n- }\n- },\n- \"500\": {\n- \"description\": \"The server crashed.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- },\n- \"X-Error-Code\": {\n- \"$ref\": \"#/components/headers/X-Error-Code\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/CustomError\"\n- },\n- \"examples\": {\n- \"internal\": {\n- \"summary\": \"internal error\",\n- \"value\": {\n- \"error\": \"Unexpected error.\"\n- }\n- }\n- }\n- },\n- \"text/plain\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n- },\n- \"examples\": {\n- \"internal\": {\n- \"summary\": \"internal error\",\n- \"value\": {\n- \"error\": \"Internal Server Error\"\n- }\n- }\n- }\n- }\n- }\n- }\n- }\n- }\n- },\n- \"/valid-next\": {\n- \"get\": {\n- \"summary\": \"Valid datasets (experimental)\",\n- \"description\": \"The list of the Hub datasets that work without an error (for /splits-next and /first-rows).\","}}},{"rowIdx":1669,"cells":{"hash":{"kind":"string","value":"07dce4e362608e37a1aad7e5ace4e1527b9eca6d"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-08T16:17:17","string":"2022-08-08T16:17:17"},"subject":{"kind":"string","value":"Add valid next and is valid next to the doc (#505)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex cc357ae7..e0d44424 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-75a29ae\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-8b8a505\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-dcd92f4\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-dcd92f4\",\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4\"\ndiff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex b7217191..97b21c3d 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -767,0 +768,10 @@\n+ \"ValidNextResponse\": {\n+ \"type\": \"object\",\n+ \"required\": [\"valid\"],\n+ \"properties\": {\n+ \"valid\": {\n+ \"type\": \"array\",\n+ \"items\": { \"type\": \"string\" }\n+ }\n+ }\n+ },\n@@ -3417,0 +3428,313 @@\n+ \"externalDocs\": {\n+ \"description\": \"See Valid datasets (Hub docs)\",\n+ \"url\": \"https://huggingface.co/docs/datasets-server/valid\"\n+ },\n+ \"operationId\": \"listValidDatasetsNext\",\n+ \"parameters\": [],\n+ \"responses\": {\n+ \"200\": {\n+ \"description\": \"The valid datasets.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ValidNextResponse\"\n+ },\n+ \"examples\": {\n+ \"valid\": {\n+ \"summary\": \"list of datasets\",\n+ \"value\": {\n+ \"valid\": [\n+ \"0n1xus/codexglue\",\n+ \"0n1xus/pytorrent-standalone\",\n+ \"0x7194633/rupile\",\n+ \"51la5/keyword-extraction\",\n+ \"AHussain0418/day2_data\"\n+ ]\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Unexpected error.\"\n+ }\n+ }\n+ }\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"/is-valid-next\": {\n+ \"get\": {\n+ \"summary\": \"Check if a dataset is valid (experimental)\",\n+ \"description\": \"Check if a dataset works without an error (for /splits-next and /first-rows).\",\n+ \"externalDocs\": {\n+ \"description\": \"See Valid datasets (Hub docs)\",\n+ \"url\": \"https://huggingface.co/docs/datasets-server/valid\"\n+ },\n+ \"operationId\": \"isValidDatasetNext\",\n+ \"security\": [\n+ {},\n+ {\n+ \"HuggingFaceCookie\": []\n+ },\n+ {\n+ \"HuggingFaceToken\": []\n+ }\n+ ],\n+ \"parameters\": [\n+ {\n+ \"name\": \"dataset\",\n+ \"in\": \"query\",\n+ \"description\": \"The identifier of the dataset on the Hub.\",\n+ \"required\": true,\n+ \"schema\": { \"type\": \"string\" },\n+ \"examples\": {\n+ \"glue\": { \"summary\": \"a canonical dataset\", \"value\": \"glue\" },\n+ \"Helsinki-NLP/tatoeba_mt\": {\n+ \"summary\": \"a namespaced dataset\",\n+ \"value\": \"Helsinki-NLP/tatoeba_mt\"\n+ }\n+ }\n+ }\n+ ],\n+ \"responses\": {\n+ \"200\": {\n+ \"description\": \"The valid datasets.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/IsValidResponse\"\n+ },\n+ \"examples\": {\n+ \"valid\": {\n+ \"summary\": \"valid dataset\",\n+ \"value\": {\n+ \"valid\": true\n+ }\n+ },\n+ \"invalid\": {\n+ \"summary\": \"invalid dataset\",\n+ \"value\": {\n+ \"valid\": false\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"401\": {\n+ \"description\": \"If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is gated.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"404\": {\n+ \"description\": \"If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is gated, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"422\": {\n+ \"description\": \"The `dataset` parameter has not been provided.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"missing-parameter\": {\n+ \"summary\": \"The dataset parameter is missing.\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ },\n+ \"empty-parameter\": {\n+ \"summary\": \"The dataset parameter is empty (?dataset=).\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Unexpected error.\"\n+ }\n+ }\n+ }\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"/valid-next\": {\n+ \"get\": {\n+ \"summary\": \"Valid datasets (experimental)\",\n+ \"description\": \"The list of the Hub datasets that work without an error (for /splits-next and /first-rows).\","}}},{"rowIdx":1670,"cells":{"hash":{"kind":"string","value":"d79966250c577d64def5105bd4de940ac79ec722"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-08T16:03:19","string":"2022-08-08T16:03:19"},"subject":{"kind":"string","value":"Add valid next and is valid next (#504)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 0ae30bb1..cc357ae7 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -4 +4 @@\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-75a29ae\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-8b8a505\",\ndiff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 6af03beb..b7217191 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -757,0 +758,10 @@\n+ \"ValidNextResponse\": {\n+ \"type\": \"object\",\n+ \"required\": [\"valid\"],\n+ \"properties\": {\n+ \"valid\": {\n+ \"type\": \"array\",\n+ \"items\": { \"type\": \"string\" }\n+ }\n+ }\n+ },\n@@ -3402,0 +3413,313 @@\n+ },\n+ \"/valid-next\": {\n+ \"get\": {\n+ \"summary\": \"Valid datasets (experimental)\",\n+ \"description\": \"The list of the Hub datasets that work without an error (for /splits-next and /first-rows).\",\n+ \"externalDocs\": {\n+ \"description\": \"See Valid datasets (Hub docs)\",\n+ \"url\": \"https://huggingface.co/docs/datasets-server/valid\"\n+ },\n+ \"operationId\": \"listValidDatasetsNext\",\n+ \"parameters\": [],\n+ \"responses\": {\n+ \"200\": {\n+ \"description\": \"The valid datasets.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ValidNextResponse\"\n+ },\n+ \"examples\": {\n+ \"valid\": {\n+ \"summary\": \"list of datasets\",\n+ \"value\": {\n+ \"valid\": [\n+ \"0n1xus/codexglue\",\n+ \"0n1xus/pytorrent-standalone\",\n+ \"0x7194633/rupile\",\n+ \"51la5/keyword-extraction\",\n+ \"AHussain0418/day2_data\"\n+ ]\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Unexpected error.\"\n+ }\n+ }\n+ }\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"/is-valid-next\": {\n+ \"get\": {\n+ \"summary\": \"Check if a dataset is valid (experimental)\",\n+ \"description\": \"Check if a dataset works without an error (for /splits-next and /first-rows).\",\n+ \"externalDocs\": {\n+ \"description\": \"See Valid datasets (Hub docs)\",\n+ \"url\": \"https://huggingface.co/docs/datasets-server/valid\"\n+ },\n+ \"operationId\": \"isValidDatasetNext\",\n+ \"security\": [\n+ {},\n+ {\n+ \"HuggingFaceCookie\": []\n+ },\n+ {\n+ \"HuggingFaceToken\": []\n+ }\n+ ],\n+ \"parameters\": [\n+ {\n+ \"name\": \"dataset\",\n+ \"in\": \"query\",\n+ \"description\": \"The identifier of the dataset on the Hub.\",\n+ \"required\": true,\n+ \"schema\": { \"type\": \"string\" },\n+ \"examples\": {\n+ \"glue\": { \"summary\": \"a canonical dataset\", \"value\": \"glue\" },\n+ \"Helsinki-NLP/tatoeba_mt\": {\n+ \"summary\": \"a namespaced dataset\",\n+ \"value\": \"Helsinki-NLP/tatoeba_mt\"\n+ }\n+ }\n+ }\n+ ],\n+ \"responses\": {\n+ \"200\": {\n+ \"description\": \"The valid datasets.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/IsValidResponse\"\n+ },\n+ \"examples\": {\n+ \"valid\": {\n+ \"summary\": \"valid dataset\",\n+ \"value\": {\n+ \"valid\": true\n+ }\n+ },\n+ \"invalid\": {\n+ \"summary\": \"invalid dataset\",\n+ \"value\": {\n+ \"valid\": false\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"401\": {\n+ \"description\": \"If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is gated.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"404\": {\n+ \"description\": \"If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is gated, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"422\": {\n+ \"description\": \"The `dataset` parameter has not been provided.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"missing-parameter\": {\n+ \"summary\": \"The dataset parameter is missing.\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ },\n+ \"empty-parameter\": {\n+ \"summary\": \"The dataset parameter is empty (?dataset=).\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Unexpected error.\"\n+ }\n+ }\n+ }\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\ndiff --git a/e2e/tests/test_80_valid_next.py b/e2e/tests/test_80_valid_next.py\nnew file mode 100644\nindex 00000000..9b299e4f\n--- /dev/null\n+++ b/e2e/tests/test_80_valid_next.py\n@@ -0,0 +1,13 @@\n+from .fixtures.hub import DatasetRepos\n+from .utils import get\n+\n+\n+def test_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos):\n+ # this test ensures that the datasets processed successfully are present in /valid-next\n+ response = get(\"/valid-next\")\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n+ # at this moment various datasets have been processed (due to the alphabetic order of the test files)\n+ valid = response.json()[\"valid\"]\n+ assert hf_dataset_repos_csv_data[\"public\"] in valid, response.text\n+ assert hf_dataset_repos_csv_data[\"gated\"] in valid, response.text\n+ assert hf_dataset_repos_csv_data[\"private\"] not in valid, response.text\ndiff --git a/e2e/tests/test_90_is_valid_next.py b/e2e/tests/test_90_is_valid_next.py\nnew file mode 100644\nindex 00000000..6dc68dd6\n--- /dev/null\n+++ b/e2e/tests/test_90_is_valid_next.py\n@@ -0,0 +1,16 @@\n+from .fixtures.hub import DatasetRepos\n+from .utils import get\n+\n+\n+def test_is_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos):\n+ # this test ensures that a dataset processed successfully returns true in /is-valid-next\n+ response = get(\"/is-valid-next\")\n+ assert response.status_code == 422, f\"{response.status_code} - {response.text}\"\n+ # at this moment various datasets have been processed (due to the alphabetic order of the test files)\n+ public = hf_dataset_repos_csv_data[\"public\"]\n+ response = get(f\"/is-valid-next?dataset={public}\")\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n+ assert response.json()[\"valid\"] is True, response.text\n+ # without authentication, we get a 401 error when requesting a non-existing dataset\n+ response = get(\"/is-valid-next?dataset=non-existing-dataset\")\n+ assert response.status_code == 401, f\"{response.status_code} - {response.text}\"\ndiff --git a/libs/libcache/dist/libcache-0.1.28-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.28-py3-none-any.whl\nnew file mode 100644\nindex 00000000..e5f8649b\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.28-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.28.tar.gz b/libs/libcache/dist/libcache-0.1.28.tar.gz\nnew file mode 100644\nindex 00000000..724acbc9\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.28.tar.gz differ\ndiff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml\nindex 640c0fdd..d7346cab 100644\n--- a/libs/libcache/pyproject.toml\n+++ b/libs/libcache/pyproject.toml\n@@ -5 +5 @@ name = \"libcache\"\n-version = \"0.1.27\"\n+version = \"0.1.28\"\ndiff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py\nindex 1687a70a..549e7d51 100644\n--- a/libs/libcache/src/libcache/simple_cache.py\n+++ b/libs/libcache/src/libcache/simple_cache.py\n@@ -220,0 +221,14 @@ def get_valid_dataset_names() -> List[str]:\n+# /is-valid endpoint\n+\n+\n+def is_dataset_name_valid(dataset_name: str) -> bool:\n+ # a dataset is considered valid if:\n+ # - the /splits response is valid\n+ # - at least one of the /first-rows responses is valid\n+ valid_split_responses = SplitsResponse.objects(dataset_name=dataset_name, http_status=HTTPStatus.OK).count()\n+ valid_first_rows_responses = FirstRowsResponse.objects(\n+ dataset_name=dataset_name, http_status=HTTPStatus.OK\n+ ).count()\n+ return (valid_split_responses == 1) and (valid_first_rows_responses > 0)\n+\n+\ndiff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py\nindex 47fc734a..360645d2 100644\n--- a/libs/libcache/tests/test_simple_cache.py\n+++ b/libs/libcache/tests/test_simple_cache.py\n@@ -22,0 +23 @@ from libcache.simple_cache import (\n+ is_dataset_name_valid,\n@@ -136,0 +138,3 @@ def test_valid() -> None:\n+ assert is_dataset_name_valid(\"test_dataset\") is False\n+ assert is_dataset_name_valid(\"test_dataset2\") is False\n+ assert is_dataset_name_valid(\"test_dataset3\") is False\n@@ -149,0 +154,3 @@ def test_valid() -> None:\n+ assert is_dataset_name_valid(\"test_dataset\") is True\n+ assert is_dataset_name_valid(\"test_dataset2\") is False\n+ assert is_dataset_name_valid(\"test_dataset3\") is False\n@@ -158,0 +166,3 @@ def test_valid() -> None:\n+ assert is_dataset_name_valid(\"test_dataset\") is True\n+ assert is_dataset_name_valid(\"test_dataset2\") is False\n+ assert is_dataset_name_valid(\"test_dataset3\") is False\n@@ -171,0 +182,3 @@ def test_valid() -> None:\n+ assert is_dataset_name_valid(\"test_dataset\") is True\n+ assert is_dataset_name_valid(\"test_dataset2\") is False\n+ assert is_dataset_name_valid(\"test_dataset3\") is False\n@@ -184,0 +198,3 @@ def test_valid() -> None:\n+ assert is_dataset_name_valid(\"test_dataset\") is True\n+ assert is_dataset_name_valid(\"test_dataset2\") is True\n+ assert is_dataset_name_valid(\"test_dataset3\") is False\n@@ -193,0 +210,3 @@ def test_valid() -> None:\n+ assert is_dataset_name_valid(\"test_dataset\") is True\n+ assert is_dataset_name_valid(\"test_dataset2\") is True\n+ assert is_dataset_name_valid(\"test_dataset3\") is False\ndiff --git a/services/api/poetry.lock b/services/api/poetry.lock\nindex 8eee90a0..e374440e 100644\n--- a/services/api/poetry.lock\n+++ b/services/api/poetry.lock\n@@ -419 +419 @@ name = \"libcache\"\n-version = \"0.1.23\"\n+version = \"0.1.28\"\n@@ -433 +433 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.28-py3-none-any.whl\"\n@@ -1179 +1179 @@ python-versions = \"3.9.6\"\n-content-hash = \"91aabf5e4bce2ef091ca5c8eed7ce75204ffd749e0acb29dfaf48db566a8cdf4\"\n+content-hash = \"633c78a9ad9fcb89e1368e6404f2874dd0dba5275af61c0d49d3e67e812fed62\"\n@@ -1441 +1441 @@ libcache = [\n- {file = \"libcache-0.1.23-py3-none-any.whl\", hash = \"sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb\"},\n+ {file = \"libcache-0.1.28-py3-none-any.whl\", hash = \"sha256:1ecf102f5bdaa5ec9706f424d2267ebd4fe323a57a8c97f5dc64543ee5a28eee\"},\ndiff --git a/services/api/pyproject.toml b/services/api/pyproject.toml\nindex c4ddd52b..242bbb8f 100644\n--- a/services/api/pyproject.toml\n+++ b/services/api/pyproject.toml\n@@ -8 +8 @@ version = \"0.1.3\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.28-py3-none-any.whl\", develop = false }\ndiff --git a/services/api/src/api/app.py b/services/api/src/api/app.py\nindex 6bf3de54..95df090c 100644\n--- a/services/api/src/api/app.py\n+++ b/services/api/src/api/app.py\n@@ -32,0 +33 @@ from api.routes.valid import create_is_valid_endpoint, valid_datasets_endpoint\n+from api.routes.valid_next import create_is_valid_next_endpoint, valid_next_endpoint\n@@ -50,0 +52,2 @@ def create_app() -> Starlette:\n+ Route(\"/valid-next\", endpoint=valid_next_endpoint),\n+ Route(\"/is-valid-next\", endpoint=create_is_valid_next_endpoint(EXTERNAL_AUTH_URL)),\ndiff --git a/services/api/src/api/routes/valid_next.py b/services/api/src/api/routes/valid_next.py\nnew file mode 100644\nindex 00000000..41215386\n--- /dev/null\n+++ b/services/api/src/api/routes/valid_next.py\n@@ -0,0 +1,49 @@\n+import logging\n+from typing import Optional\n+\n+from libcache.simple_cache import get_valid_dataset_names, is_dataset_name_valid\n+from starlette.requests import Request\n+from starlette.responses import Response\n+\n+from api.authentication import auth_check\n+from api.utils import (\n+ ApiCustomError,\n+ Endpoint,\n+ MissingRequiredParameterError,\n+ UnexpectedError,\n+ are_valid_parameters,\n+ get_json_api_error_response,\n+ get_json_ok_response,\n+)\n+\n+logger = logging.getLogger(__name__)\n+\n+\n+async def valid_next_endpoint(_: Request) -> Response:\n+ try:\n+ logger.info(\"/valid-next\")\n+ content = {\"valid\": get_valid_dataset_names()}\n+ return get_json_ok_response(content)\n+ except Exception:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\n+\n+\n+def create_is_valid_next_endpoint(external_auth_url: Optional[str] = None) -> Endpoint:\n+ async def is_valid_next_endpoint(request: Request) -> Response:\n+ try:\n+ dataset_name = request.query_params.get(\"dataset\")\n+ logger.info(f\"/is-valid, dataset={dataset_name}\")\n+ if not are_valid_parameters([dataset_name]):\n+ raise MissingRequiredParameterError(\"Parameter 'dataset' is required\")\n+ # if auth_check fails, it will raise an exception that will be caught below\n+ auth_check(dataset_name, external_auth_url=external_auth_url, request=request)\n+ content = {\n+ \"valid\": is_dataset_name_valid(dataset_name),\n+ }\n+ return get_json_ok_response(content)\n+ except ApiCustomError as e:\n+ return get_json_api_error_response(e)\n+ except Exception:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\n+\n+ return is_valid_next_endpoint\ndiff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py\nindex f1d35c8b..aa97236e 100644\n--- a/services/api/tests/test_app.py\n+++ b/services/api/tests/test_app.py\n@@ -81,0 +82,7 @@ def test_get_valid_datasets(client: TestClient) -> None:\n+def test_get_valid__next_datasets(client: TestClient) -> None:\n+ response = client.get(\"/valid-next\")\n+ assert response.status_code == 200\n+ json = response.json()\n+ assert \"valid\" in json\n+\n+\n@@ -113,0 +121,14 @@ def test_get_is_valid(client: TestClient) -> None:\n+@responses.activate\n+def test_get_is_valid_next(client: TestClient) -> None:\n+ response = client.get(\"/is-valid-next\")\n+ assert response.status_code == 422\n+\n+ dataset = \"doesnotexist\"\n+ responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback)\n+ response = client.get(\"/is-valid-next\", params={\"dataset\": dataset})\n+ assert response.status_code == 200\n+ json = response.json()\n+ assert \"valid\" in json\n+ assert json[\"valid\"] is False\n+\n+\n@@ -129 +150 @@ def test_is_valid_auth(\n- response = client.get(f\"/is-valid?dataset={dataset}\", headers=headers)\n+ response = client.get(f\"/is-valid-next?dataset={dataset}\", headers=headers)"}}},{"rowIdx":1671,"cells":{"hash":{"kind":"string","value":"9bce93dd0b266ea6a9cd79ad168b5f0bcdeb37b6"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-08T15:09:35","string":"2022-08-08T15:09:35"},"subject":{"kind":"string","value":"refactor: 💡 use pathlib instead of os.path (#503)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/s-admin-build.yml b/.github/workflows/s-admin-build.yml\nindex 10a563fe..7b0a0602 100644\n--- a/.github/workflows/s-admin-build.yml\n+++ b/.github/workflows/s-admin-build.yml\n@@ -7 +7 @@ on:\n- - 'services/admin/src'\n+ - 'services/admin/src/**'\ndiff --git a/.github/workflows/s-api-build.yml b/.github/workflows/s-api-build.yml\nindex 0edfb02b..bac06f22 100644\n--- a/.github/workflows/s-api-build.yml\n+++ b/.github/workflows/s-api-build.yml\n@@ -7 +7 @@ on:\n- - 'services/api/src'\n+ - 'services/api/src/**'\ndiff --git a/.github/workflows/s-worker-build.yml b/.github/workflows/s-worker-build.yml\nindex 56cb4a2c..1f1e4ef3 100644\n--- a/.github/workflows/s-worker-build.yml\n+++ b/.github/workflows/s-worker-build.yml\n@@ -7 +7 @@ on:\n- - 'services/worker/src'\n+ - 'services/worker/src/**'\ndiff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex bbd653a8..0ae30bb1 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-fff7ce4\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-fff7ce4\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-75a29ae\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-75a29ae\",\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae\"\ndiff --git a/e2e/tests/utils.py b/e2e/tests/utils.py\nindex bae916c3..97becb2f 100644\n--- a/e2e/tests/utils.py\n+++ b/e2e/tests/utils.py\n@@ -4 +4 @@ import time\n-from os.path import dirname, join\n+from pathlib import Path\n@@ -120,2 +120,2 @@ def get_openapi_body_example(path, status, example_name):\n- root = dirname(dirname(dirname(__file__)))\n- openapi_filename = join(root, \"chart\", \"static-files\", \"openapi.json\")\n+ root = Path(__file__).resolve().parent.parent.parent\n+ openapi_filename = root / \"chart\" / \"static-files\" / \"openapi.json\"\ndiff --git a/services/worker/src/worker/asset.py b/services/worker/src/worker/asset.py\nindex e512d514..46691263 100644\n--- a/services/worker/src/worker/asset.py\n+++ b/services/worker/src/worker/asset.py\n@@ -2 +2,2 @@ import logging\n-import os\n+from os import makedirs\n+from pathlib import Path\n@@ -19 +20 @@ ASSET_DIR_MODE = 0o755\n-def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column: str) -> Tuple[str, str]:\n+def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column: str) -> Tuple[Path, str]:\n@@ -21 +22 @@ def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column\n- dir_path = os.path.join(assets_dir, dataset, DATASET_SEPARATOR, config, split, str(row_idx), column)\n+ dir_path = Path(assets_dir).resolve() / dataset / DATASET_SEPARATOR / config / split / str(row_idx) / column\n@@ -23 +24 @@ def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column\n- os.makedirs(dir_path, ASSET_DIR_MODE, exist_ok=True)\n+ makedirs(dir_path, ASSET_DIR_MODE, exist_ok=True)\n@@ -38 +39 @@ def create_image_file(\n- file_path = os.path.join(dir_path, filename)\n+ file_path = dir_path / filename\n@@ -61,2 +62,2 @@ def create_audio_files(\n- wav_file_path = os.path.join(dir_path, wav_filename)\n- mp3_file_path = os.path.join(dir_path, mp3_filename)\n+ wav_file_path = dir_path / wav_filename\n+ mp3_file_path = dir_path / mp3_filename\ndiff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py\nindex 68d73fd1..7ab1fcf9 100644\n--- a/services/worker/tests/conftest.py\n+++ b/services/worker/tests/conftest.py\n@@ -1,0 +2 @@ import os\n+from pathlib import Path\n@@ -10 +11 @@ def config():\n- return {\"image_file\": os.path.join(os.path.dirname(__file__), \"data\", \"test_image_rgb.jpg\")}\n+ return {\"image_file\": str(Path(__file__).resolve().parent / \"data\" / \"test_image_rgb.jpg\")}"}}},{"rowIdx":1672,"cells":{"hash":{"kind":"string","value":"a22b5fd967ff3cc0c0d52615dfd73455a73b966d"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-08T14:24:54","string":"2022-08-08T14:24:54"},"subject":{"kind":"string","value":"ci: 🎡 copy less files to the dockerfiles (#501)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 03726f14..bbd653a8 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-c90be33\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-e3d3193\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-fff7ce4\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-fff7ce4\",\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4\"\ndiff --git a/services/admin/Dockerfile b/services/admin/Dockerfile\nindex b55bddc4..52ad88bf 100644\n--- a/services/admin/Dockerfile\n+++ b/services/admin/Dockerfile\n@@ -0,0 +1,2 @@\n+# build with\n+# docker build -t some_tag_admin -f Dockerfile ../..\n@@ -22,3 +24,6 @@ WORKDIR /src\n-COPY libs ./libs/\n-COPY services ./services/\n-COPY tools ./tools/\n+COPY libs/libcache/dist ./libs/libcache/dist\n+COPY libs/libqueue/dist ./libs/libqueue/dist\n+COPY libs/libutils/dist ./libs/libutils/dist\n+COPY services/admin/src ./services/admin/src\n+COPY services/admin/poetry.lock ./services/admin/poetry.lock\n+COPY services/admin/pyproject.toml ./services/admin/pyproject.toml\n@@ -28,2 +33 @@ RUN poetry install\n-ENTRYPOINT [\"make\"]\n-CMD [\"run\"]\n+ENTRYPOINT [\"poetry\", \"run\", \"python\", \"src/admin/main.py\"]\ndiff --git a/services/api/Dockerfile b/services/api/Dockerfile\nindex a14aec62..98fabffe 100644\n--- a/services/api/Dockerfile\n+++ b/services/api/Dockerfile\n@@ -0,0 +1,2 @@\n+# build with\n+# docker build -t some_tag_api -f Dockerfile ../..\n@@ -16 +18 @@ RUN apt-get update \\\n- && apt-get install -y build-essential unzip wget python3-dev make \\\n+ && apt-get install -y build-essential unzip wget python3-dev \\\n@@ -22,3 +24,6 @@ WORKDIR /src\n-COPY libs ./libs/\n-COPY services ./services/\n-COPY tools ./tools/\n+COPY libs/libcache/dist ./libs/libcache/dist\n+COPY libs/libqueue/dist ./libs/libqueue/dist\n+COPY libs/libutils/dist ./libs/libutils/dist\n+COPY services/api/src ./services/api/src\n+COPY services/api/poetry.lock ./services/api/poetry.lock\n+COPY services/api/pyproject.toml ./services/api/pyproject.toml\n@@ -28,2 +33 @@ RUN poetry install\n-ENTRYPOINT [\"make\"]\n-CMD [\"run\"]\n+ENTRYPOINT [\"poetry\", \"run\", \"python\", \"src/api/main.py\"]\ndiff --git a/services/worker/Dockerfile b/services/worker/Dockerfile\nindex 10df2279..7306a4c7 100644\n--- a/services/worker/Dockerfile\n+++ b/services/worker/Dockerfile\n@@ -0,0 +1,2 @@\n+# build with\n+# docker build -t some_tag_worker -f Dockerfile ../..\n@@ -37,3 +39,6 @@ WORKDIR /src\n-COPY libs ./libs/\n-COPY services ./services/\n-COPY tools ./tools/\n+COPY libs/libcache/dist ./libs/libcache/dist\n+COPY libs/libqueue/dist ./libs/libqueue/dist\n+COPY libs/libutils/dist ./libs/libutils/dist\n+COPY services/worker/src ./services/worker/src\n+COPY services/worker/poetry.lock ./services/worker/poetry.lock\n+COPY services/worker/pyproject.toml ./services/worker/pyproject.toml\n@@ -44,2 +49 @@ RUN poetry install\n-ENTRYPOINT [\"make\"]\n-CMD [\"run\"]\n+ENTRYPOINT [\"poetry\", \"run\", \"python\", \"src/worker/main.py\"]"}}},{"rowIdx":1673,"cells":{"hash":{"kind":"string","value":"89de3165bf98c378535f887e5cbe9787e58a11f3"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-05T21:18:26","string":"2022-08-05T21:18:26"},"subject":{"kind":"string","value":"ci: 🎡 separate docker workflows (#500)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/_docker.yml b/.github/workflows/_docker.yml\nindex 3dd84a21..bff9777d 100644\n--- a/.github/workflows/_docker.yml\n+++ b/.github/workflows/_docker.yml\n@@ -53,2 +53,2 @@ jobs:\n- cache-from: type=gha,scope=buildkit-${{ inputs.service }}\n- cache-to: type=gha,mode=max,scope=buildkit-${{ inputs.service }}\n+ # cache-from: type=gha,scope=buildkit-${{ inputs.service }}\n+ # cache-to: type=gha,mode=max,scope=buildkit-${{ inputs.service }}\ndiff --git a/.github/workflows/s-admin-build.yml b/.github/workflows/s-admin-build.yml\nnew file mode 100644\nindex 00000000..10a563fe\n--- /dev/null\n+++ b/.github/workflows/s-admin-build.yml\n@@ -0,0 +1,19 @@\n+name: services/admin\n+on:\n+ workflow_dispatch:\n+ push:\n+ paths:\n+ - 'services/admin/Dockerfile'\n+ - 'services/admin/src'\n+ - 'services/admin/poetry.lock'\n+ - 'services/admin/pyproject.toml'\n+ - '.github/workflows/s-admin-build.yml'\n+ - '.github/workflows/_docker.yml'\n+jobs:\n+ docker:\n+ uses: ./.github/workflows/_docker.yml\n+ with:\n+ service: admin\n+ secrets:\n+ aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}\n+ aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}\ndiff --git a/.github/workflows/s-admin.yml b/.github/workflows/s-admin.yml\nindex ba63712c..3203f8d5 100644\n--- a/.github/workflows/s-admin.yml\n+++ b/.github/workflows/s-admin.yml\n@@ -10 +9,0 @@ on:\n- - '.github/workflows/_docker.yml'\n@@ -24,7 +22,0 @@ jobs:\n- docker:\n- uses: ./.github/workflows/_docker.yml\n- with:\n- service: admin\n- secrets:\n- aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}\n- aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}\ndiff --git a/.github/workflows/s-api-build.yml b/.github/workflows/s-api-build.yml\nnew file mode 100644\nindex 00000000..0edfb02b\n--- /dev/null\n+++ b/.github/workflows/s-api-build.yml\n@@ -0,0 +1,19 @@\n+name: services/api\n+on:\n+ workflow_dispatch:\n+ push:\n+ paths:\n+ - 'services/api/Dockerfile'\n+ - 'services/api/src'\n+ - 'services/api/poetry.lock'\n+ - 'services/api/pyproject.toml'\n+ - '.github/workflows/s-api-build.yml'\n+ - '.github/workflows/_docker.yml'\n+jobs:\n+ docker:\n+ uses: ./.github/workflows/_docker.yml\n+ with:\n+ service: api\n+ secrets:\n+ aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}\n+ aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}\ndiff --git a/.github/workflows/s-api.yml b/.github/workflows/s-api.yml\nindex 8d2bd67d..89b58577 100644\n--- a/.github/workflows/s-api.yml\n+++ b/.github/workflows/s-api.yml\n@@ -10 +9,0 @@ on:\n- - '.github/workflows/_docker.yml'\n@@ -24,7 +22,0 @@ jobs:\n- docker:\n- uses: ./.github/workflows/_docker.yml\n- with:\n- service: api\n- secrets:\n- aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}\n- aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}\ndiff --git a/.github/workflows/s-worker-build.yml b/.github/workflows/s-worker-build.yml\nnew file mode 100644\nindex 00000000..56cb4a2c\n--- /dev/null\n+++ b/.github/workflows/s-worker-build.yml\n@@ -0,0 +1,19 @@\n+name: services/worker\n+on:\n+ workflow_dispatch:\n+ push:\n+ paths:\n+ - 'services/worker/Dockerfile'\n+ - 'services/worker/src'\n+ - 'services/worker/poetry.lock'\n+ - 'services/worker/pyproject.toml'\n+ - '.github/workflows/s-worker-build.yml'\n+ - '.github/workflows/_docker.yml'\n+jobs:\n+ docker:\n+ uses: ./.github/workflows/_docker.yml\n+ with:\n+ service: worker\n+ secrets:\n+ aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}\n+ aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}\ndiff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml\nindex df49fc0d..6caddd49 100644\n--- a/.github/workflows/s-worker.yml\n+++ b/.github/workflows/s-worker.yml\n@@ -10 +9,0 @@ on:\n- - '.github/workflows/_docker.yml'\n@@ -12,0 +12 @@ on:\n+ - 'vendors/'\n@@ -29,7 +28,0 @@ jobs:\n- docker:\n- uses: ./.github/workflows/_docker.yml\n- with:\n- service: worker\n- secrets:\n- aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}\n- aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}"}}},{"rowIdx":1674,"cells":{"hash":{"kind":"string","value":"5e8f63bc50506c06270db7204903eca985b52e89"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-05T19:28:38","string":"2022-08-05T19:28:38"},"subject":{"kind":"string","value":"Use hub ci for tests (#499)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml\nindex bae43f79..9212d3fc 100644\n--- a/.github/workflows/_e2e_tests.yml\n+++ b/.github/workflows/_e2e_tests.yml\n@@ -70,8 +70,10 @@ jobs:\n- EXTERNAL_AUTH_URL: \"https://huggingface.co/api/datasets/%s/auth-check\"\n- SERVICE_ADMIN_DOCKER_IMAGE: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.admin}}\"\n- SERVICE_API_DOCKER_IMAGE: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.api}}\"\n- SERVICE_REVERSE_PROXY_DOCKER_IMAGE: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.reverseProxy}}\"\n- SERVICE_WORKER_DATASETS_DOCKER_IMAGE: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.datasets}}\"\n- SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}\"\n- SERVICE_WORKER_SPLITS_DOCKER_IMAGE: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splits}}\"\n- SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splitsNext}}\"\n+ # hard coded, see e2e/tests/fixtures/hub.py\n+ HF_ENDPOINT: \"https://hub-ci.huggingface.co\"\n+ HF_TOKEN: \"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\"\n+ IMAGE_ADMIN: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.admin}}\"\n+ IMAGE_API: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.api}}\"\n+ IMAGE_REVERSE_PROXY: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.reverseProxy}}\"\n+ IMAGE_WORKER_DATASETS: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.datasets}}\"\n+ IMAGE_WORKER_FIRST_ROWS: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}\"\n+ IMAGE_WORKER_SPLITS: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splits}}\"\n+ IMAGE_WORKER_SPLITS_NEXT: \"${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splitsNext}}\"\ndiff --git a/.github/workflows/build_documentation.yml b/.github/workflows/doc-build.yml\nsimilarity index 83%\nrename from .github/workflows/build_documentation.yml\nrename to .github/workflows/doc-build.yml\nindex 96d610c1..9b2b8f7f 100644\n--- a/.github/workflows/build_documentation.yml\n+++ b/.github/workflows/doc-build.yml\n@@ -7,2 +7,3 @@ on:\n- - doc-builder*\n- - v*-release\n+ paths:\n+ - 'docs/**'\n+ - '.github/workflows/doc-build.yml'\ndiff --git a/.github/workflows/build_pr_documentation.yml b/.github/workflows/doc-pr-build.yml\nsimilarity index 85%\nrename from .github/workflows/build_pr_documentation.yml\nrename to .github/workflows/doc-pr-build.yml\nindex 351abfe1..e96da13a 100644\n--- a/.github/workflows/build_pr_documentation.yml\n+++ b/.github/workflows/doc-pr-build.yml\n@@ -4,0 +5,3 @@ on:\n+ paths:\n+ - 'docs/**'\n+ - '.github/workflows/doc-pr-build.yml'\ndiff --git a/.github/workflows/delete_doc_comment.yml b/.github/workflows/doc-pr-delete.yml\nsimilarity index 87%\nrename from .github/workflows/delete_doc_comment.yml\nrename to .github/workflows/doc-pr-delete.yml\nindex e42b2ee0..dbc52172 100644\n--- a/.github/workflows/delete_doc_comment.yml\n+++ b/.github/workflows/doc-pr-delete.yml\n@@ -1 +1 @@\n-name: Delete dev documentation\n+name: Delete PR documentation\ndiff --git a/Makefile b/Makefile\nindex 1dfc4331..dcc58aa2 100644\n--- a/Makefile\n+++ b/Makefile\n@@ -3,3 +3,3 @@ export LOCAL_CODE_MONGO_PORT := 27060\n-export LOCAL_CODE_SERVICE_ADMIN_PORT := 8081\n-export LOCAL_CODE_SERVICE_API_PORT := 8080\n-export LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT := 8000\n+export LOCAL_CODE_PORT_ADMIN := 8081\n+export LOCAL_CODE_PORT_API := 8080\n+export LOCAL_CODE_PORT_REVERSE_PROXY := 8000\n@@ -9,3 +9,3 @@ export REMOTE_IMAGES_MONGO_PORT := 27061\n-export REMOTE_IMAGES_SERVICE_ADMIN_PORT := 8181\n-export REMOTE_IMAGES_SERVICE_API_PORT := 8180\n-export REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT := 8100\n+export REMOTE_IMAGES_PORT_ADMIN := 8181\n+export REMOTE_IMAGES_PORT_API := 8180\n+export REMOTE_IMAGES_PORT_REVERSE_PROXY := 8100\n@@ -33,2 +33,2 @@ start-from-local-code:\n-\tMONGO_PORT=${LOCAL_CODE_MONGO_PORT} SERVICE_ADMIN_PORT=${LOCAL_CODE_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${LOCAL_CODE_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down\n-\tMONGO_PORT=${LOCAL_CODE_MONGO_PORT} SERVICE_ADMIN_PORT=${LOCAL_CODE_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${LOCAL_CODE_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) up\n+\tMONGO_PORT=${LOCAL_CODE_MONGO_PORT} PORT_ADMIN=${LOCAL_CODE_PORT_ADMIN} PORT_API=${LOCAL_CODE_PORT_API} PORT_REVERSE_PROXY=${LOCAL_CODE_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down\n+\tMONGO_PORT=${LOCAL_CODE_MONGO_PORT} PORT_ADMIN=${LOCAL_CODE_PORT_ADMIN} PORT_API=${LOCAL_CODE_PORT_API} PORT_REVERSE_PROXY=${LOCAL_CODE_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) up\n@@ -38 +38 @@ stop-from-local-code:\n-\tMONGO_PORT=${LOCAL_CODE_MONGO_PORT} SERVICE_ADMIN_PORT=${LOCAL_CODE_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${LOCAL_CODE_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down\n+\tMONGO_PORT=${LOCAL_CODE_MONGO_PORT} PORT_ADMIN=${LOCAL_CODE_PORT_ADMIN} PORT_API=${LOCAL_CODE_PORT_API} PORT_REVERSE_PROXY=${LOCAL_CODE_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down\n@@ -42,2 +42,2 @@ start-from-remote-images:\n-\tMONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} SERVICE_ADMIN_PORT=${REMOTE_IMAGES_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${REMOTE_IMAGES_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down\n-\tMONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} SERVICE_ADMIN_PORT=${REMOTE_IMAGES_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${REMOTE_IMAGES_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) up\n+\tMONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} PORT_ADMIN=${REMOTE_IMAGES_PORT_ADMIN} PORT_API=${REMOTE_IMAGES_PORT_API} PORT_REVERSE_PROXY=${REMOTE_IMAGES_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down\n+\tMONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} PORT_ADMIN=${REMOTE_IMAGES_PORT_ADMIN} PORT_API=${REMOTE_IMAGES_PORT_API} PORT_REVERSE_PROXY=${REMOTE_IMAGES_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) up\n@@ -47 +47 @@ stop-from-remote-images:\n-\tMONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} SERVICE_ADMIN_PORT=${REMOTE_IMAGES_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${REMOTE_IMAGES_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down\n+\tMONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} PORT_ADMIN=${REMOTE_IMAGES_PORT_ADMIN} PORT_API=${REMOTE_IMAGES_PORT_API} PORT_REVERSE_PROXY=${REMOTE_IMAGES_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down\ndiff --git a/README.md b/README.md\nindex 5514b536..f22d7af9 100644\n--- a/README.md\n+++ b/README.md\n@@ -32 +32 @@ Note that two job queues exist:\n-Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpooint.\n+Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpoint.\n@@ -39,0 +40,21 @@ Hence, the working application has:\n+\n+## Environments\n+\n+The following environments contain all the modules: reverse proxy, API server, admin API server, workers, and the Mongo database.\n+\n+| Environment | URL | Type | How to deploy |\n+| ------------------------ | ---------------------------------------------------- | ----------------- | -------------------------------------------------------------------- |\n+| Production | https://datasets-server.huggingface.co | Helm / Kubernetes | `make upgrade-prod` in [chart](./chart) |\n+| Development | https://datasets-server.us.dev.moon.huggingface.tech | Helm / Kubernetes | `make upgrade-dev` in [chart](./chart) |\n+| Local from remote images | http://localhost:8100 | Docker compose | `make start-from-remote-images` (fetches docker images from AWS ECR) |\n+| Local build | http://localhost:8000 | Docker compose | `make start-from-local-code` (builds docker images) |\n+\n+The Hugging Face Hub instance can be configured thanks to `HF_ENDPOINT`, so that the datasets server can access the Hub, a private Hub, or the instance dedicated to CI (https://hub-ci.huggingface.co/). The `HF_TOKEN` environment variable used by the workers to access the gated datasets must be set accordingly.\n+\n+| Where | `HF_ENDPOINT` (api, worker) | `HF_TOKEN` (worker) |\n+| ----------------- | ----------------------------------------------------------------------- | ------------------------------------------------------------- |\n+| production | https://huggingface.co/ | Kubernetes secret |\n+| development | https://huggingface.co/ | Kubernetes secret |\n+| local docker | https://huggingface.co/. Override with `HF_ENDPOINT=... make start-...` | Enable the gated datasets with `HF_TOKEN=... make start-...` |\n+| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` |\n+| worker unit tests | https://huggingface.co/ | GitHub secret (CI). Run locally with `HF_TOKEN=... make test` |\ndiff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex e58c2883..03726f14 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-70dca73\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-70dca73\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-c90be33\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-e3d3193\",\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e\"\ndiff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl\nindex e24b97fd..afe53d8c 100644\n--- a/chart/templates/api/_container.tpl\n+++ b/chart/templates/api/_container.tpl\n@@ -12,2 +12,2 @@\n- - name: EXTERNAL_AUTH_URL\n- value: {{ .Values.api.externalAuthUrl | quote }}\n+ - name: HF_ENDPOINT\n+ value: {{ .Values.hfEndpoint | quote }}\ndiff --git a/chart/templates/worker/datasets/_container.tpl b/chart/templates/worker/datasets/_container.tpl\nindex 3fca9411..85cb3830 100644\n--- a/chart/templates/worker/datasets/_container.tpl\n+++ b/chart/templates/worker/datasets/_container.tpl\n@@ -11,0 +12,2 @@\n+ - name: HF_ENDPOINT\n+ value: \"{{ .Values.hfEndpoint }}\"\ndiff --git a/chart/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl\nindex 2dc9efd7..6fc1eb00 100644\n--- a/chart/templates/worker/first-rows/_container.tpl\n+++ b/chart/templates/worker/first-rows/_container.tpl\n@@ -11,0 +12,2 @@\n+ - name: HF_ENDPOINT\n+ value: \"{{ .Values.hfEndpoint }}\"\ndiff --git a/chart/templates/worker/splits-next/_container.tpl b/chart/templates/worker/splits-next/_container.tpl\nindex a5cbf677..f46cbe16 100644\n--- a/chart/templates/worker/splits-next/_container.tpl\n+++ b/chart/templates/worker/splits-next/_container.tpl\n@@ -11,0 +12,2 @@\n+ - name: HF_ENDPOINT\n+ value: \"{{ .Values.hfEndpoint }}\"\ndiff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl\nindex a8c0a621..dfa81798 100644\n--- a/chart/templates/worker/splits/_container.tpl\n+++ b/chart/templates/worker/splits/_container.tpl\n@@ -11,0 +12,2 @@\n+ - name: HF_ENDPOINT\n+ value: \"{{ .Values.hfEndpoint }}\"\ndiff --git a/chart/values.yaml b/chart/values.yaml\nindex 1d82cef2..53f8b2e8 100644\n--- a/chart/values.yaml\n+++ b/chart/values.yaml\n@@ -36,0 +37 @@ gid: 3000\n+hfEndpoint: \"https://huggingface.co\"\n@@ -93,7 +93,0 @@ api:\n- # External authentication URL.\n- # %s will be replaced with the dataset name, for example:\n- # \"https://huggingface.co/api/datasets/%s/auth-check\"\n- # The authentication service must follow the specification in\n- # https://nginx.org/en/docs/http/ngx_http_auth_request_module.html\n- # and return 200, 401 or 403\n- externalAuthUrl: \"https://huggingface.co/api/datasets/%s/auth-check\"\ndiff --git a/e2e/Makefile b/e2e/Makefile\nindex 8b4921d4..24545275 100644\n--- a/e2e/Makefile\n+++ b/e2e/Makefile\n@@ -2,3 +2,3 @@\n-export SERVICE_ADMIN_PORT := 9081\n-export SERVICE_API_PORT := 9080\n-export SERVICE_REVERSE_PROXY_PORT := 9000\n+export PORT_ADMIN := 9081\n+export PORT_API := 9080\n+export PORT_REVERSE_PROXY := 9000\n@@ -8 +8,2 @@ export TEST_COMPOSE_PROJECT_NAME := e2e\n-export TEST_EXTERNAL_AUTH_URL := https://huggingface.co/api/datasets/%s/auth-check\n+export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co\n+export TEST_HF_TOKEN := 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\ndiff --git a/e2e/poetry.lock b/e2e/poetry.lock\nindex c2d2a593..fdaaff38 100644\n--- a/e2e/poetry.lock\n+++ b/e2e/poetry.lock\n@@ -117,0 +118,12 @@ pipenv = [\"pipenv\"]\n+[[package]]\n+name = \"filelock\"\n+version = \"3.7.1\"\n+description = \"A platform independent file lock.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3.7\"\n+\n+[package.extras]\n+docs = [\"furo (>=2021.8.17b43)\", \"sphinx (>=4.1)\", \"sphinx-autodoc-typehints (>=1.12)\"]\n+testing = [\"covdefaults (>=1.2.0)\", \"coverage (>=4)\", \"pytest (>=4)\", \"pytest-cov\", \"pytest-timeout (>=1.4.2)\"]\n+\n@@ -152,0 +165,25 @@ gitdb = \">=4.0.1,<5\"\n+[[package]]\n+name = \"huggingface-hub\"\n+version = \"0.8.1\"\n+description = \"Client library to download and publish models, datasets and other repos on the huggingface.co hub\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3.7.0\"\n+\n+[package.dependencies]\n+filelock = \"*\"\n+packaging = \">=20.9\"\n+pyyaml = \">=5.1\"\n+requests = \"*\"\n+tqdm = \"*\"\n+typing-extensions = \">=3.7.4.3\"\n+\n+[package.extras]\n+torch = [\"torch\"]\n+testing = [\"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n+tensorflow = [\"graphviz\", \"pydot\", \"tensorflow\"]\n+quality = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\"]\n+fastai = [\"fastcore (>=1.3.27)\", \"fastai (>=2.4)\", \"toml\"]\n+dev = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\", \"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n+all = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\", \"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n+\n@@ -415,0 +453,17 @@ python-versions = \">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*\"\n+[[package]]\n+name = \"tqdm\"\n+version = \"4.64.0\"\n+description = \"Fast, Extensible Progress Meter\"\n+category = \"dev\"\n+optional = false\n+python-versions = \"!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7\"\n+\n+[package.dependencies]\n+colorama = {version = \"*\", markers = \"platform_system == \\\"Windows\\\"\"}\n+\n+[package.extras]\n+dev = [\"py-make (>=0.1.0)\", \"twine\", \"wheel\"]\n+notebook = [\"ipywidgets (>=6)\"]\n+slack = [\"slack-sdk\"]\n+telegram = [\"requests\"]\n+\n@@ -448 +502 @@ python-versions = \"3.9.6\"\n-content-hash = \"80c60cfd17a80b1ce3e802e31e48f3bebd23439d08daaf18a2c6a1bb56f8b5f7\"\n+content-hash = \"6d69ff2d0da11c31836f90cb10a1d45aa72c79e5c69172b4165531745c0d6dd5\"\n@@ -507,0 +562,4 @@ dparse = [\n+filelock = [\n+ {file = \"filelock-3.7.1-py3-none-any.whl\", hash = \"sha256:37def7b658813cda163b56fc564cdc75e86d338246458c4c28ae84cabefa2404\"},\n+ {file = \"filelock-3.7.1.tar.gz\", hash = \"sha256:3a0fd85166ad9dbab54c9aec96737b744106dc5f15c0b09a6744a445299fcf04\"},\n+]\n@@ -519,0 +578 @@ gitpython = [\n+huggingface-hub = []\n@@ -670,0 +730,4 @@ tomlkit = [\n+tqdm = [\n+ {file = \"tqdm-4.64.0-py2.py3-none-any.whl\", hash = \"sha256:74a2cdefe14d11442cedf3ba4e21a3b84ff9a2dbdc6cfae2c34addb2a14a5ea6\"},\n+ {file = \"tqdm-4.64.0.tar.gz\", hash = \"sha256:40be55d30e200777a307a7585aee69e4eabb46b4ec6a4b4a5f2d9f11e7d5408d\"},\n+]\ndiff --git a/e2e/pyproject.toml b/e2e/pyproject.toml\nindex 95065aa5..89e4f273 100644\n--- a/e2e/pyproject.toml\n+++ b/e2e/pyproject.toml\n@@ -16,0 +17 @@ flake8 = \"^3.9.2\"\n+huggingface-hub = \"^0.8.1\"\ndiff --git a/e2e/tests/conftest.py b/e2e/tests/conftest.py\nindex 7684382d..79e22f1e 100644\n--- a/e2e/tests/conftest.py\n+++ b/e2e/tests/conftest.py\n@@ -3 +3,4 @@ import pytest\n-from .utils import URL, poll\n+from .utils import poll\n+\n+# Import fixture modules as plugins\n+pytest_plugins = [\"tests.fixtures.files\", \"tests.fixtures.hub\"]\n@@ -8,3 +11,3 @@ def ensure_services_are_up() -> None:\n- assert poll(f\"{URL}/\", expected_code=404).status_code == 404\n- assert poll(f\"{URL}/healthcheck\").status_code == 200\n- assert poll(f\"{URL}/admin/healthcheck\").status_code == 200\n+ assert poll(\"/\", expected_code=404).status_code == 404\n+ assert poll(\"/healthcheck\").status_code == 200\n+ assert poll(\"/admin/healthcheck\").status_code == 200\ndiff --git a/e2e/tests/fixtures/__init__.py b/e2e/tests/fixtures/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/e2e/tests/fixtures/files.py b/e2e/tests/fixtures/files.py\nnew file mode 100644\nindex 00000000..f5151447\n--- /dev/null\n+++ b/e2e/tests/fixtures/files.py\n@@ -0,0 +1,21 @@\n+import csv\n+\n+import pytest\n+\n+DATA = [\n+ {\"col_1\": \"0\", \"col_2\": 0, \"col_3\": 0.0},\n+ {\"col_1\": \"1\", \"col_2\": 1, \"col_3\": 1.0},\n+ {\"col_1\": \"2\", \"col_2\": 2, \"col_3\": 2.0},\n+ {\"col_1\": \"3\", \"col_2\": 3, \"col_3\": 3.0},\n+]\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def csv_path(tmp_path_factory):\n+ path = str(tmp_path_factory.mktemp(\"data\") / \"dataset.csv\")\n+ with open(path, \"w\", newline=\"\") as f:\n+ writer = csv.DictWriter(f, fieldnames=[\"col_1\", \"col_2\", \"col_3\"])\n+ writer.writeheader()\n+ for item in DATA:\n+ writer.writerow(item)\n+ return path\ndiff --git a/e2e/tests/fixtures/hub.py b/e2e/tests/fixtures/hub.py\nnew file mode 100644\nindex 00000000..5367280e\n--- /dev/null\n+++ b/e2e/tests/fixtures/hub.py\n@@ -0,0 +1,225 @@\n+# Adapted from https://github.com/huggingface/datasets/blob/main/tests/fixtures/hub.py\n+\n+import time\n+from contextlib import contextmanager, suppress\n+from typing import Dict, Iterable, Literal, Optional, TypedDict\n+\n+import pytest\n+import requests\n+from huggingface_hub.hf_api import ( # type: ignore\n+ REPO_TYPES,\n+ REPO_TYPES_URL_PREFIXES,\n+ HfApi,\n+ HfFolder,\n+ _raise_for_status,\n+)\n+\n+CI_HUB_USER = \"__DUMMY_TRANSFORMERS_USER__\"\n+CI_HUB_USER_TOKEN = \"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\"\n+\n+CI_HUB_ENDPOINT = \"https://hub-ci.huggingface.co\"\n+CI_HUB_DATASETS_URL = CI_HUB_ENDPOINT + \"/datasets/{repo_id}/resolve/{revision}/{path}\"\n+\n+\n+def update_repo_settings(\n+ hf_api: HfApi,\n+ repo_id: str,\n+ *,\n+ private: Optional[bool] = None,\n+ gated: Optional[bool] = None,\n+ token: Optional[str] = None,\n+ organization: Optional[str] = None,\n+ repo_type: Optional[str] = None,\n+ name: str = None,\n+) -> Dict[str, bool]:\n+ \"\"\"Update the settings of a repository.\n+ Args:\n+ repo_id (`str`, *optional*):\n+ A namespace (user or an organization) and a repo name separated\n+ by a `/`.\n+ \n+ Version added: 0.5\n+ \n+ private (`bool`, *optional*, defaults to `None`):\n+ Whether the repo should be private.\n+ gated (`bool`, *optional*, defaults to `None`):\n+ Whether the repo should request user access.\n+ token (`str`, *optional*):\n+ An authentication token (See https://huggingface.co/settings/token)\n+ repo_type (`str`, *optional*):\n+ Set to `\"dataset\"` or `\"space\"` if uploading to a dataset or\n+ space, `None` or `\"model\"` if uploading to a model. Default is\n+ `None`.\n+ Returns:\n+ The HTTP response in json.\n+ \n+ Raises the following errors:\n+ - [`~huggingface_hub.utils.RepositoryNotFoundError`]\n+ If the repository to download from cannot be found. This may be because it doesn't exist,\n+ or because it is set to `private` and you do not have access.\n+ \n+ \"\"\"\n+ if repo_type not in REPO_TYPES:\n+ raise ValueError(\"Invalid repo type\")\n+\n+ organization, name = repo_id.split(\"/\") if \"/\" in repo_id else (None, repo_id)\n+\n+ token, name = hf_api._validate_or_retrieve_token(token, name, function_name=\"update_repo_settings\")\n+\n+ if organization is None:\n+ namespace = hf_api.whoami(token)[\"name\"]\n+ else:\n+ namespace = organization\n+\n+ path_prefix = f\"{hf_api.endpoint}/api/\"\n+ if repo_type in REPO_TYPES_URL_PREFIXES:\n+ path_prefix += REPO_TYPES_URL_PREFIXES[repo_type]\n+\n+ path = f\"{path_prefix}{namespace}/{name}/settings\"\n+\n+ json = {}\n+ if private is not None:\n+ json[\"private\"] = private\n+ if gated is not None:\n+ json[\"gated\"] = gated\n+\n+ r = requests.put(\n+ path,\n+ headers={\"authorization\": f\"Bearer {token}\"},\n+ json=json,\n+ )\n+ _raise_for_status(r)\n+ return r.json()\n+\n+\n+@pytest.fixture\n+def set_ci_hub_access_token() -> Iterable[None]:\n+ _api = HfApi(endpoint=CI_HUB_ENDPOINT)\n+ _api.set_access_token(CI_HUB_USER_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_TOKEN)\n+ yield\n+ HfFolder.delete_token()\n+ _api.unset_access_token()\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def hf_api():\n+ return HfApi(endpoint=CI_HUB_ENDPOINT)\n+\n+\n+@pytest.fixture(scope=\"session\")\n+def hf_token(hf_api: HfApi) -> Iterable[str]:\n+ hf_api.set_access_token(CI_HUB_USER_TOKEN)\n+ HfFolder.save_token(CI_HUB_USER_TOKEN)\n+ yield CI_HUB_USER_TOKEN\n+ with suppress(requests.exceptions.HTTPError):\n+ hf_api.unset_access_token()\n+\n+\n+@pytest.fixture\n+def cleanup_repo(hf_api: HfApi):\n+ def _cleanup_repo(repo_id):\n+ hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_TOKEN, repo_type=\"dataset\")\n+\n+ return _cleanup_repo\n+\n+\n+@pytest.fixture\n+def temporary_repo(cleanup_repo):\n+ @contextmanager\n+ def _temporary_repo(repo_id):\n+ try:\n+ yield repo_id\n+ finally:\n+ cleanup_repo(repo_id)\n+\n+ return _temporary_repo\n+\n+\n+def create_unique_repo_name(prefix: str, user: str) -> str:\n+ repo_name = f\"{prefix}-{int(time.time() * 10e3)}\"\n+ return f\"{user}/{repo_name}\"\n+\n+\n+def create_hf_dataset_repo_csv_data(\n+ hf_api: HfApi, hf_token: str, csv_path: str, *, private=False, gated=False, user=CI_HUB_USER\n+) -> str:\n+ repo_id = create_unique_repo_name(\"repo_csv_data\", user)\n+ hf_api.create_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\", private=private)\n+ hf_api.upload_file(\n+ token=hf_token,\n+ path_or_fileobj=csv_path,\n+ path_in_repo=\"data/csv_data.csv\",\n+ repo_id=repo_id,\n+ repo_type=\"dataset\",\n+ )\n+ if gated:\n+ update_repo_settings(hf_api, repo_id, token=hf_token, gated=gated, repo_type=\"dataset\")\n+ return repo_id\n+\n+\n+# https://docs.pytest.org/en/6.2.x/fixture.html#yield-fixtures-recommended\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_public_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]:\n+ repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path)\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_public_2_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]:\n+ repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path)\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_private_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]:\n+ repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path, private=True)\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_gated_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]:\n+ repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path, gated=True)\n+ yield repo_id\n+ with suppress(requests.exceptions.HTTPError, ValueError):\n+ hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type=\"dataset\")\n+\n+\n+class DatasetRepos(TypedDict):\n+ public: str\n+ public2: str\n+ private: str\n+ gated: str\n+\n+\n+DatasetReposType = Literal[\"public\", \"public2\", \"private\", \"gated\"]\n+\n+\n+@pytest.fixture(scope=\"session\", autouse=True)\n+def hf_dataset_repos_csv_data(\n+ hf_public_dataset_repo_csv_data,\n+ hf_public_2_dataset_repo_csv_data,\n+ hf_private_dataset_repo_csv_data,\n+ hf_gated_dataset_repo_csv_data,\n+) -> DatasetRepos:\n+ return {\n+ \"public\": hf_public_dataset_repo_csv_data,\n+ \"public2\": hf_public_2_dataset_repo_csv_data,\n+ \"private\": hf_private_dataset_repo_csv_data,\n+ \"gated\": hf_gated_dataset_repo_csv_data,\n+ }\n+\n+\n+AuthType = Literal[\"token\", \"none\"]\n+AuthHeaders = Dict[AuthType, Dict[str, str]]\n+\n+\n+@pytest.fixture(autouse=True, scope=\"session\")\n+def auth_headers() -> AuthHeaders:\n+ return {\"none\": {}, \"token\": {\"Authorization\": f\"Bearer {CI_HUB_USER_TOKEN}\"}}\ndiff --git a/e2e/tests/test_10_healthcheck.py b/e2e/tests/test_10_healthcheck.py\nindex 094fe792..f69d3b79 100644\n--- a/e2e/tests/test_10_healthcheck.py\n+++ b/e2e/tests/test_10_healthcheck.py\n@@ -1 +1 @@\n-from .utils import URL, poll\n+from .utils import poll\n@@ -6 +6 @@ def test_healthcheck():\n- response = poll(f\"{URL}/healthcheck\")\n+ response = poll(\"/healthcheck\")\ndiff --git a/e2e/tests/test_20_splits_and_rows.py b/e2e/tests/test_20_splits_and_rows.py\nindex dc55326c..137356e0 100644\n--- a/e2e/tests/test_20_splits_and_rows.py\n+++ b/e2e/tests/test_20_splits_and_rows.py\n@@ -1,2 +1 @@\n-import requests\n-\n+from .fixtures.hub import DatasetRepos\n@@ -5 +4,2 @@ from .utils import (\n- URL,\n+ get,\n+ get_default_config_split,\n@@ -7,0 +8 @@ from .utils import (\n+ post,\n@@ -13,10 +13,0 @@ from .utils import (\n-def test_get_dataset():\n- dataset = \"acronym_identification\"\n- config = \"default\"\n- split = \"train\"\n-\n- r_splits, r_rows = refresh_poll_splits_rows(dataset, config, split)\n- assert r_splits.json()[\"splits\"][0][\"split\"] == \"train\", r_splits.text\n- assert r_rows.json()[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\", r_splits.text\n-\n-\n@@ -24 +15 @@ def test_get_dataset():\n-def test_bug_empty_split():\n+def test_bug_empty_split(hf_dataset_repos_csv_data: DatasetRepos):\n@@ -32,3 +23,2 @@ def test_bug_empty_split():\n- dataset = \"nielsr/CelebA-faces\"\n- config = \"nielsr--CelebA-faces\"\n- split = \"train\"\n+\n+ dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data[\"public2\"])\n@@ -45,2 +35 @@ def test_bug_empty_split():\n- url = f\"{URL}/rows?dataset={dataset}&config={config}&split={split}\"\n- response = requests.get(url)\n+ response = get(f\"/rows?dataset={dataset}&config={config}&split={split}\")\n@@ -52 +41 @@ def test_bug_empty_split():\n- response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n+ response = post(\"/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n@@ -65,0 +55,8 @@ def test_bug_empty_split():\n+def test_get_dataset(hf_dataset_repos_csv_data: DatasetRepos):\n+ dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data[\"public2\"])\n+\n+ r_splits, r_rows = refresh_poll_splits_rows(dataset, config, split)\n+ assert r_splits.json()[\"splits\"][0][\"split\"] == \"train\", r_splits.text\n+ assert r_rows.json()[\"rows\"][0][\"row\"][\"col_1\"] == 0, r_splits.text\n+\n+\ndiff --git a/e2e/tests/test_30_auth.py b/e2e/tests/test_30_auth.py\nnew file mode 100644\nindex 00000000..947c13b7\n--- /dev/null\n+++ b/e2e/tests/test_30_auth.py\n@@ -0,0 +1,59 @@\n+import pytest\n+\n+from .fixtures.hub import AuthHeaders, AuthType, DatasetRepos, DatasetReposType\n+from .utils import (\n+ Response,\n+ get,\n+ get_default_config_split,\n+ poll_first_rows,\n+ refresh_poll_splits_next,\n+)\n+\n+\n+def log(response: Response, dataset: str) -> str:\n+ dataset, config, split = get_default_config_split(dataset)\n+ return f\"{response.status_code} - {response.text} - {dataset} - {config} - {split}\"\n+\n+\n+@pytest.mark.parametrize(\n+ \"type,auth,status_code,error_code_splits_next,error_code_first_rows\",\n+ [\n+ (\"public\", \"none\", 200, None, None),\n+ (\"public\", \"token\", 200, None, None),\n+ (\"public\", \"cookie\", 200, None, None),\n+ (\"gated\", \"none\", 401, \"ExternalUnauthenticatedError\", \"ExternalUnauthenticatedError\"),\n+ (\"gated\", \"token\", 200, None, None),\n+ (\"gated\", \"cookie\", 200, None, None),\n+ (\"private\", \"none\", 401, \"ExternalUnauthenticatedError\", \"ExternalUnauthenticatedError\"),\n+ (\"private\", \"token\", 404, \"SplitsResponseNotFound\", \"FirstRowsResponseNotFound\"),\n+ (\"private\", \"cookie\", 404, \"SplitsResponseNotFound\", \"FirstRowsResponseNotFound\"),\n+ ],\n+)\n+def test_splits_next_public_auth(\n+ auth_headers: AuthHeaders,\n+ hf_dataset_repos_csv_data: DatasetRepos,\n+ type: DatasetReposType,\n+ auth: AuthType,\n+ status_code: int,\n+ error_code_splits_next: str,\n+ error_code_first_rows: str,\n+) -> None:\n+ if auth not in auth_headers:\n+ # ignore the test case if the auth type is not configured\n+ pytest.skip(f\"auth {auth} has not been configured\")\n+ dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data[type])\n+ if type == \"private\":\n+ # no need to refresh, it's not implemented.\n+ # TODO: the webhook should respond 501 Not implemented when provided with a private dataset\n+ # (and delete the cache if existing)\n+ r_splits = get(f\"/splits-next?dataset={dataset}\", headers=auth_headers[auth])\n+ r_rows = get(f\"/first-rows?dataset={dataset}&config={config}&split={split}\", headers=auth_headers[auth])\n+ else:\n+ r_splits = refresh_poll_splits_next(dataset, headers=auth_headers[auth])\n+ r_rows = poll_first_rows(dataset, config, split, headers=auth_headers[auth])\n+\n+ assert r_splits.status_code == status_code, log(r_rows, dataset)\n+ assert r_rows.status_code == status_code, log(r_rows, dataset)\n+\n+ assert r_splits.headers.get(\"X-Error-Code\") == error_code_splits_next, log(r_rows, dataset)\n+ assert r_rows.headers.get(\"X-Error-Code\") == error_code_first_rows, log(r_rows, dataset)\ndiff --git a/e2e/tests/test_30_splits_next_and_first_rows.py b/e2e/tests/test_30_splits_next_and_first_rows.py\ndeleted file mode 100644\nindex 4ad01125..00000000\n--- a/e2e/tests/test_30_splits_next_and_first_rows.py\n+++ /dev/null\n@@ -1,55 +0,0 @@\n-from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_next_first_rows\n-\n-\n-def test_get_dataset_next():\n- dataset = \"acronym_identification\"\n- config = \"default\"\n- split = \"train\"\n-\n- r_splits, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split)\n- assert r_splits.json()[\"splits\"][0][\"split_name\"] == \"train\", f\"{r_splits.status_code} - {r_splits.text}\"\n-\n- assert r_rows.status_code == 200, f\"{r_rows.status_code} - {r_rows.text}\"\n- json = r_rows.json()\n- assert \"features\" in json, json\n- assert json[\"features\"][0][\"name\"] == \"id\", json\n- assert json[\"features\"][0][\"type\"][\"_type\"] == \"Value\", json\n- assert json[\"features\"][0][\"type\"][\"dtype\"] == \"string\", json\n- assert json[\"features\"][2][\"name\"] == \"labels\", json\n- assert json[\"features\"][2][\"type\"][\"_type\"] == \"Sequence\", json\n- assert json[\"features\"][2][\"type\"][\"feature\"][\"_type\"] == \"ClassLabel\", json\n- assert json[\"features\"][2][\"type\"][\"feature\"][\"num_classes\"] == 5, json\n- assert \"rows\" in json\n- assert len(json[\"rows\"]) == ROWS_MAX_NUMBER, json[\"rows\"]\n- assert json[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\", json[\"rows\"]\n- assert type(json[\"rows\"][0][\"row\"][\"labels\"]) is list, json[\"rows\"]\n- assert len(json[\"rows\"][0][\"row\"][\"labels\"]) == 18, json[\"rows\"]\n- assert json[\"rows\"][0][\"row\"][\"labels\"][0] == 4, json[\"rows\"]\n-\n-\n-# TODO: find a dataset that can be processed faster\n-def test_png_image_next():\n- # this test ensures that an image is saved as PNG if it cannot be saved as PNG\n- # https://github.com/huggingface/datasets-server/issues/191\n- dataset = \"wikimedia/wit_base\"\n- config = \"wikimedia--wit_base\"\n- split = \"train\"\n-\n- _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split)\n-\n- assert r_rows.status_code == 200, f\"{r_rows.status_code} - {r_rows.text}\"\n- json = r_rows.json()\n-\n- assert \"features\" in json, json\n- assert json[\"features\"][0][\"name\"] == \"image\", json\n- assert json[\"features\"][0][\"type\"][\"_type\"] == \"Image\", json\n- assert (\n- json[\"rows\"][0][\"row\"][\"image\"]\n- == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg\"\n- ), json\n-\n- # assert (\n- # json[\"rows\"][20][\"row\"][\"image\"]\n- # == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png\"\n- # )\n- # ^only four rows for now\ndiff --git a/e2e/tests/test_40_splits_next.py b/e2e/tests/test_40_splits_next.py\nindex f32334e6..35f75eb9 100644\n--- a/e2e/tests/test_40_splits_next.py\n+++ b/e2e/tests/test_40_splits_next.py\n@@ -2 +1,0 @@ import pytest\n-import requests\n@@ -5 +4 @@ from .utils import (\n- URL,\n+ get,\n@@ -16,2 +15,2 @@ from .utils import (\n- (200, \"duorc\", \"duorc\", None),\n- (200, \"emotion\", \"emotion\", None),\n+ # (200, \"duorc\", \"duorc\", None),\n+ # (200, \"emotion\", \"emotion\", None),\n@@ -24,12 +23,12 @@ from .utils import (\n- (\n- 401,\n- \"gated-dataset\",\n- \"severo/dummy_gated\",\n- \"ExternalUnauthenticatedError\",\n- ),\n- (\n- 401,\n- \"private-dataset\",\n- \"severo/dummy_private\",\n- \"ExternalUnauthenticatedError\",\n- ),\n+ # (\n+ # 401,\n+ # \"gated-dataset\",\n+ # \"severo/dummy_gated\",\n+ # \"ExternalUnauthenticatedError\",\n+ # ),\n+ # (\n+ # 401,\n+ # \"private-dataset\",\n+ # \"severo/dummy_private\",\n+ # \"ExternalUnauthenticatedError\",\n+ # ),\n@@ -38,3 +37,3 @@ from .utils import (\n- (500, \"SplitsNotFoundError\", \"natural_questions\", \"SplitsNamesError\"),\n- (500, \"FileNotFoundError\", \"akhaliq/test\", \"SplitsNamesError\"),\n- (500, \"not-ready\", \"severo/fix-401\", \"SplitsResponseNotReady\"),\n+ # (500, \"SplitsNotFoundError\", \"natural_questions\", \"SplitsNamesError\"),\n+ # (500, \"FileNotFoundError\", \"akhaliq/test\", \"SplitsNamesError\"),\n+ # (500, \"not-ready\", \"severo/fix-401\", \"SplitsResponseNotReady\"),\n@@ -48 +47 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str):\n- r_splits = poll(f\"{URL}/splits-next?dataset=\", error_field=\"error\")\n+ r_splits = poll(\"/splits-next?dataset=\", error_field=\"error\")\n@@ -50 +49 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str):\n- r_splits = poll(f\"{URL}/splits-next\", error_field=\"error\")\n+ r_splits = poll(\"/splits-next\", error_field=\"error\")\n@@ -54 +53 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str):\n- r_splits = requests.get(f\"{URL}/splits-next?dataset={dataset}\")\n+ r_splits = get(f\"/splits-next?dataset={dataset}\")\ndiff --git a/e2e/tests/test_50_first_rows.py b/e2e/tests/test_50_first_rows.py\nindex c8705146..3b8d9103 100644\n--- a/e2e/tests/test_50_first_rows.py\n+++ b/e2e/tests/test_50_first_rows.py\n@@ -8,0 +9 @@ from .utils import (\n+ get,\n@@ -23,3 +24,3 @@ def prepare_json(response: requests.Response) -> Any:\n- (200, \"imdb\", \"imdb\", \"plain_text\", \"train\", None),\n- (200, \"truncated\", \"ett\", \"m2\", \"test\", None),\n- (200, \"image\", \"huggan/horse2zebra\", \"huggan--horse2zebra-aligned\", \"train\", None),\n+ # (200, \"imdb\", \"imdb\", \"plain_text\", \"train\", None),\n+ # (200, \"truncated\", \"ett\", \"m2\", \"test\", None),\n+ # (200, \"image\", \"huggan/horse2zebra\", \"huggan--horse2zebra-aligned\", \"train\", None),\n@@ -36,18 +37,18 @@ def prepare_json(response: requests.Response) -> Any:\n- (\n- 401,\n- \"gated-dataset\",\n- \"severo/dummy_gated\",\n- \"severo--embellishments\",\n- \"train\",\n- \"ExternalUnauthenticatedError\",\n- ),\n- (\n- 401,\n- \"private-dataset\",\n- \"severo/dummy_private\",\n- \"severo--embellishments\",\n- \"train\",\n- \"ExternalUnauthenticatedError\",\n- ),\n- (404, \"inexistent-config\", \"imdb\", \"inexistent-config\", \"train\", \"FirstRowsResponseNotFound\"),\n- (404, \"inexistent-split\", \"imdb\", \"plain_text\", \"inexistent-split\", \"FirstRowsResponseNotFound\"),\n+ # (\n+ # 401,\n+ # \"gated-dataset\",\n+ # \"severo/dummy_gated\",\n+ # \"severo--embellishments\",\n+ # \"train\",\n+ # \"ExternalUnauthenticatedError\",\n+ # ),\n+ # (\n+ # 401,\n+ # \"private-dataset\",\n+ # \"severo/dummy_private\",\n+ # \"severo--embellishments\",\n+ # \"train\",\n+ # \"ExternalUnauthenticatedError\",\n+ # ),\n+ # (404, \"inexistent-config\", \"imdb\", \"inexistent-config\", \"train\", \"FirstRowsResponseNotFound\"),\n+ # (404, \"inexistent-split\", \"imdb\", \"plain_text\", \"inexistent-split\", \"FirstRowsResponseNotFound\"),\n@@ -60,3 +61,3 @@ def prepare_json(response: requests.Response) -> Any:\n- (500, \"NonMatchingCheckError\", \"ar_cov19\", \"ar_cov19\", \"train\", \"NormalRowsError\"),\n- (500, \"FileNotFoundError\", \"atomic\", \"atomic\", \"train\", \"NormalRowsError\"),\n- (500, \"not-ready\", \"anli\", \"plain_text\", \"train_r1\", \"FirstRowsResponseNotReady\"),\n+ # (500, \"NonMatchingCheckError\", \"ar_cov19\", \"ar_cov19\", \"train\", \"NormalRowsError\"),\n+ # (500, \"FileNotFoundError\", \"atomic\", \"atomic\", \"train\", \"NormalRowsError\"),\n+ # (500, \"not-ready\", \"anli\", \"plain_text\", \"train_r1\", \"FirstRowsResponseNotReady\"),\n@@ -78 +79 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- r_rows = poll(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\", error_field=\"error\")\n+ r_rows = poll(f\"/first-rows?dataset={dataset}&config={config}&split={split}\", error_field=\"error\")\n@@ -84 +85 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- r_rows = poll(f\"{URL}/first-rows?{params}\", error_field=\"error\")\n+ r_rows = poll(f\"/first-rows?{params}\", error_field=\"error\")\n@@ -88 +89 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- r_rows = requests.get(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\")\n+ r_rows = get(f\"/first-rows?dataset={dataset}&config={config}&split={split}\")\n@@ -92 +93 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- r_rows = requests.get(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\")\n+ r_rows = get(f\"/first-rows?dataset={dataset}&config={config}&split={split}\")\n@@ -101,0 +103,30 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n+\n+\n+# from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_next_first_rows\n+\n+# # TODO: find a dataset that can be processed faster\n+# def test_png_image_next():\n+# # this test ensures that an image is saved as PNG if it cannot be saved as PNG\n+# # https://github.com/huggingface/datasets-server/issues/191\n+# dataset = \"wikimedia/wit_base\"\n+# config = \"wikimedia--wit_base\"\n+# split = \"train\"\n+\n+# _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split)\n+\n+# assert r_rows.status_code == 200, f\"{r_rows.status_code} - {r_rows.text}\"\n+# json = r_rows.json()\n+\n+# assert \"features\" in json, json\n+# assert json[\"features\"][0][\"name\"] == \"image\", json\n+# assert json[\"features\"][0][\"type\"][\"_type\"] == \"Image\", json\n+# assert (\n+# json[\"rows\"][0][\"row\"][\"image\"]\n+# == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg\"\n+# ), json\n+\n+# # assert (\n+# # json[\"rows\"][20][\"row\"][\"image\"]\n+# # == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png\"\n+# # )\n+# # ^only four rows for now\ndiff --git a/e2e/tests/test_60_valid.py b/e2e/tests/test_60_valid.py\nindex 964cb393..b5e69662 100644\n--- a/e2e/tests/test_60_valid.py\n+++ b/e2e/tests/test_60_valid.py\n@@ -1 +1,2 @@\n-import requests\n+from .fixtures.hub import DatasetRepos\n+from .utils import get\n@@ -3 +3,0 @@ import requests\n-from .utils import URL\n@@ -5,2 +5 @@ from .utils import URL\n-\n-def test_valid_after_datasets_processed():\n+def test_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos):\n@@ -8 +7 @@ def test_valid_after_datasets_processed():\n- response = requests.get(f\"{URL}/valid\")\n+ response = get(\"/valid\")\n@@ -11,2 +10,4 @@ def test_valid_after_datasets_processed():\n- assert \"acronym_identification\" in response.json()[\"valid\"], response.text\n- assert \"nielsr/CelebA-faces\" in response.json()[\"valid\"], response.text\n+ valid = response.json()[\"valid\"]\n+ assert hf_dataset_repos_csv_data[\"public\"] in valid, response.text\n+ assert hf_dataset_repos_csv_data[\"gated\"] in valid, response.text\n+ assert hf_dataset_repos_csv_data[\"private\"] not in valid, response.text\ndiff --git a/e2e/tests/test_70_is_valid.py b/e2e/tests/test_70_is_valid.py\nindex 52d6d068..e5df7801 100644\n--- a/e2e/tests/test_70_is_valid.py\n+++ b/e2e/tests/test_70_is_valid.py\n@@ -1 +1,2 @@\n-import requests\n+from .fixtures.hub import DatasetRepos\n+from .utils import get\n@@ -3 +3,0 @@ import requests\n-from .utils import URL\n@@ -5,2 +5 @@ from .utils import URL\n-\n-def test_is_valid_after_datasets_processed():\n+def test_is_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos):\n@@ -8 +7 @@ def test_is_valid_after_datasets_processed():\n- response = requests.get(f\"{URL}/is-valid\")\n+ response = get(\"/is-valid\")\n@@ -11 +10,2 @@ def test_is_valid_after_datasets_processed():\n- response = requests.get(f\"{URL}/is-valid?dataset=acronym_identification\")\n+ public = hf_dataset_repos_csv_data[\"public\"]\n+ response = get(f\"/is-valid?dataset={public}\")\n@@ -15 +15 @@ def test_is_valid_after_datasets_processed():\n- response = requests.get(f\"{URL}/is-valid?dataset=non-existing-dataset\")\n+ response = get(\"/is-valid?dataset=non-existing-dataset\")\ndiff --git a/e2e/tests/utils.py b/e2e/tests/utils.py\nindex 707ed938..bae916c3 100644\n--- a/e2e/tests/utils.py\n+++ b/e2e/tests/utils.py\n@@ -5 +5 @@ from os.path import dirname, join\n-from typing import Optional, Tuple\n+from typing import Any, Dict, Optional, Tuple\n@@ -7,0 +8 @@ import requests\n+from requests import Response\n@@ -9 +10 @@ import requests\n-SERVICE_REVERSE_PROXY_PORT = os.environ.get(\"SERVICE_REVERSE_PROXY_PORT\", \"8000\")\n+PORT_REVERSE_PROXY = os.environ.get(\"PORT_REVERSE_PROXY\", \"8000\")\n@@ -13 +14 @@ MAX_DURATION = 10 * 60\n-URL = f\"http://localhost:{SERVICE_REVERSE_PROXY_PORT}\"\n+URL = f\"http://localhost:{PORT_REVERSE_PROXY}\"\n@@ -14,0 +16 @@ URL = f\"http://localhost:{SERVICE_REVERSE_PROXY_PORT}\"\n+Headers = Dict[str, str]\n@@ -16 +18,18 @@ URL = f\"http://localhost:{SERVICE_REVERSE_PROXY_PORT}\"\n-def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[int] = 200) -> requests.Response:\n+\n+def get(relative_url: str, headers: Headers = None) -> Response:\n+ if headers is None:\n+ headers = {}\n+ return requests.get(f\"{URL}{relative_url}\", headers=headers)\n+\n+\n+def post(relative_url: str, json: Optional[Any] = None, headers: Headers = None) -> Response:\n+ if headers is None:\n+ headers = {}\n+ return requests.post(f\"{URL}{relative_url}\", json=json, headers=headers)\n+\n+\n+def poll(\n+ relative_url: str, error_field: Optional[str] = None, expected_code: Optional[int] = 200, headers: Headers = None\n+) -> Response:\n+ if headers is None:\n+ headers = {}\n@@ -25 +44 @@ def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[in\n- response = requests.get(url)\n+ response = get(relative_url, headers)\n@@ -40,2 +59,4 @@ def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[in\n-def post_refresh(dataset: str) -> requests.Response:\n- return requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n+def post_refresh(dataset: str, headers: Headers = None) -> Response:\n+ if headers is None:\n+ headers = {}\n+ return post(\"/webhook\", json={\"update\": f\"datasets/{dataset}\"}, headers=headers)\n@@ -44,2 +65,2 @@ def post_refresh(dataset: str) -> requests.Response:\n-def poll_splits(dataset: str) -> requests.Response:\n- return poll(f\"{URL}/splits?dataset={dataset}\", error_field=\"message\")\n+def poll_splits(dataset: str, headers: Headers = None) -> Response:\n+ return poll(f\"/splits?dataset={dataset}\", error_field=\"message\", headers=headers)\n@@ -48,2 +69,2 @@ def poll_splits(dataset: str) -> requests.Response:\n-def poll_rows(dataset: str, config: str, split: str) -> requests.Response:\n- return poll(f\"{URL}/rows?dataset={dataset}&config={config}&split={split}\", error_field=\"message\")\n+def poll_rows(dataset: str, config: str, split: str, headers: Headers = None) -> Response:\n+ return poll(f\"/rows?dataset={dataset}&config={config}&split={split}\", error_field=\"message\", headers=headers)\n@@ -52 +73,3 @@ def poll_rows(dataset: str, config: str, split: str) -> requests.Response:\n-def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[requests.Response, requests.Response]:\n+def refresh_poll_splits_rows(\n+ dataset: str, config: str, split: str, headers: Headers = None\n+) -> Tuple[Response, Response]:\n@@ -54 +77 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req\n- response = post_refresh(dataset)\n+ response = post_refresh(dataset, headers=headers)\n@@ -58 +81 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req\n- response_splits = poll_splits(dataset)\n+ response_splits = poll_splits(dataset, headers=headers)\n@@ -62 +85 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req\n- response_rows = poll_rows(dataset, config, split)\n+ response_rows = poll_rows(dataset, config, split, headers=headers)\n@@ -68,2 +91,2 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req\n-def poll_splits_next(dataset: str) -> requests.Response:\n- return poll(f\"{URL}/splits-next?dataset={dataset}\", error_field=\"error\")\n+def poll_splits_next(dataset: str, headers: Headers = None) -> Response:\n+ return poll(f\"/splits-next?dataset={dataset}\", error_field=\"error\", headers=headers)\n@@ -72,2 +95,2 @@ def poll_splits_next(dataset: str) -> requests.Response:\n-def poll_first_rows(dataset: str, config: str, split: str) -> requests.Response:\n- return poll(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\", error_field=\"error\")\n+def poll_first_rows(dataset: str, config: str, split: str, headers: Headers = None) -> Response:\n+ return poll(f\"/first-rows?dataset={dataset}&config={config}&split={split}\", error_field=\"error\", headers=headers)\n@@ -76 +99 @@ def poll_first_rows(dataset: str, config: str, split: str) -> requests.Response:\n-def refresh_poll_splits_next(dataset: str) -> requests.Response:\n+def refresh_poll_splits_next(dataset: str, headers: Headers = None) -> Response:\n@@ -78 +101 @@ def refresh_poll_splits_next(dataset: str) -> requests.Response:\n- response = post_refresh(dataset)\n+ response = post_refresh(dataset, headers=headers)\n@@ -82 +105 @@ def refresh_poll_splits_next(dataset: str) -> requests.Response:\n- return poll_splits_next(dataset)\n+ return poll_splits_next(dataset, headers=headers)\n@@ -86,3 +109,3 @@ def refresh_poll_splits_next_first_rows(\n- dataset: str, config: str, split: str\n-) -> Tuple[requests.Response, requests.Response]:\n- response_splits = refresh_poll_splits_next(dataset)\n+ dataset: str, config: str, split: str, headers: Headers = None\n+) -> Tuple[Response, Response]:\n+ response_splits = refresh_poll_splits_next(dataset, headers=headers)\n@@ -91 +114 @@ def refresh_poll_splits_next_first_rows(\n- response_rows = poll_first_rows(dataset, config, split)\n+ response_rows = poll_first_rows(dataset, config, split, headers=headers)\n@@ -103,0 +127,10 @@ def get_openapi_body_example(path, status, example_name):\n+\n+\n+def get_default_config_split(dataset: str) -> Tuple[str, str, str]:\n+ config = dataset.replace(\"/\", \"--\")\n+ split = \"train\"\n+ return dataset, config, split\n+\n+\n+# explicit re-export\n+__all__ = [\"Response\"]\ndiff --git a/services/admin/.env.example b/services/admin/.env.example\nindex 2ea324f0..af2b8125 100644\n--- a/services/admin/.env.example\n+++ b/services/admin/.env.example\n@@ -15,0 +16,3 @@\n+# URL of the HuggingFace Hub\n+# HF_ENDPOINT=\"https://huggingface.co\"\n+\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex 48a75a8b..d04d4397 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -20 +19,0 @@ Set environment variables to configure the following aspects:\n-- `LOG_LEVEL`: log level, among `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. Defaults to `INFO`.\n@@ -21,0 +21,2 @@ Set environment variables to configure the following aspects:\n+- `HF_ENDPOINT`: URL of the HuggingFace Hub. Defaults to `https://huggingface.co`.\n+- `LOG_LEVEL`: log level, among `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. Defaults to `INFO`.\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex 6f32ca46..02c1979e 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -390,2 +390,2 @@ name = \"huggingface-hub\"\n-version = \"0.6.0\"\n-description = \"Client library to download and publish models on the huggingface.co hub\"\n+version = \"0.8.1\"\n+description = \"Client library to download and publish models, datasets and other repos on the huggingface.co hub\"\n@@ -399 +399 @@ packaging = \">=20.9\"\n-pyyaml = \"*\"\n+pyyaml = \">=5.1\"\n@@ -405,6 +404,0 @@ typing-extensions = \">=3.7.4.3\"\n-all = [\"pytest\", \"datasets\", \"soundfile\", \"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-dev = [\"pytest\", \"datasets\", \"soundfile\", \"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-fastai = [\"toml\", \"fastai (>=2.4)\", \"fastcore (>=1.3.27)\"]\n-quality = [\"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-tensorflow = [\"tensorflow\", \"pydot\", \"graphviz\"]\n-testing = [\"pytest\", \"datasets\", \"soundfile\"]\n@@ -411,0 +406,6 @@ torch = [\"torch\"]\n+testing = [\"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n+tensorflow = [\"graphviz\", \"pydot\", \"tensorflow\"]\n+quality = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\"]\n+fastai = [\"fastcore (>=1.3.27)\", \"fastai (>=2.4)\", \"toml\"]\n+dev = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\", \"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n+all = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\", \"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n@@ -1201 +1201 @@ python-versions = \"3.9.6\"\n-content-hash = \"50eec29af5cd07edda31342cf6e0621dfb3203a02cb522247f3aa2f20da5000f\"\n+content-hash = \"74e577b2d1902d87de00736c6455c5be4f1c788fd1c81c4f37b901aa935f190f\"\n@@ -1450,4 +1450 @@ h11 = [\n-huggingface-hub = [\n- {file = \"huggingface_hub-0.6.0-py3-none-any.whl\", hash = \"sha256:585d72adade562a1f7038acf39eb7677b7649bdc0ce082b70f99e01164d9d8b5\"},\n- {file = \"huggingface_hub-0.6.0.tar.gz\", hash = \"sha256:f5109065222185d129933d44159e483a9e3378c577127d0281e4c921dfadbd23\"},\n-]\n+huggingface-hub = []\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex d59f61b7..4023a485 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -8 +8 @@ version = \"0.1.2\"\n-huggingface-hub = \"^0.6.0\"\n+huggingface-hub = \"^0.8.1\"\ndiff --git a/services/admin/src/admin/config.py b/services/admin/src/admin/config.py\nindex f0592808..e685b1fd 100644\n--- a/services/admin/src/admin/config.py\n+++ b/services/admin/src/admin/config.py\n@@ -11,0 +12 @@ from admin.constants import (\n+ DEFAULT_HF_ENDPOINT,\n@@ -28,0 +30 @@ CACHE_REPORTS_NUM_RESULTS = get_int_value(\n+HF_ENDPOINT = get_str_value(d=os.environ, key=\"HF_ENDPOINT\", default=DEFAULT_HF_ENDPOINT)\ndiff --git a/services/admin/src/admin/constants.py b/services/admin/src/admin/constants.py\nindex e41c63f9..cb2a8c52 100644\n--- a/services/admin/src/admin/constants.py\n+++ b/services/admin/src/admin/constants.py\n@@ -5,0 +6 @@ DEFAULT_CACHE_REPORTS_NUM_RESULTS: int = 100\n+DEFAULT_HF_ENDPOINT: str = \"https://huggingface.co\"\ndiff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py\nindex 1f931b80..71fb7ed2 100644\n--- a/services/admin/src/admin/scripts/refresh_cache.py\n+++ b/services/admin/src/admin/scripts/refresh_cache.py\n@@ -4 +4 @@ from typing import List\n-from huggingface_hub import list_datasets # type: ignore\n+from huggingface_hub.hf_api import HfApi # type: ignore\n@@ -8 +8 @@ from libutils.logger import init_logger\n-from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL\n+from admin.config import HF_ENDPOINT, LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL\n@@ -12 +12 @@ def get_hf_dataset_names():\n- return [str(dataset.id) for dataset in list_datasets(full=False)]\n+ return [str(dataset.id) for dataset in HfApi(HF_ENDPOINT).list_datasets(full=False)]\ndiff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py\nindex 821caeaf..1d0ffcb1 100644\n--- a/services/admin/src/admin/scripts/refresh_cache_canonical.py\n+++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py\n@@ -3 +3 @@ import logging\n-from huggingface_hub import list_datasets # type: ignore\n+from huggingface_hub.hf_api import HfApi # type: ignore\n@@ -6 +6 @@ from libutils.logger import init_logger\n-from admin.config import LOG_LEVEL\n+from admin.config import HF_ENDPOINT, LOG_LEVEL\n@@ -11 +11 @@ def get_hf_canonical_dataset_names():\n- return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find(\"/\") == -1]\n+ return [str(dataset.id) for dataset in HfApi(HF_ENDPOINT).list_datasets(full=False) if dataset.id.find(\"/\") == -1]\ndiff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py\nindex d0e2e127..aa1d6e83 100644\n--- a/services/admin/src/admin/scripts/warm_cache.py\n+++ b/services/admin/src/admin/scripts/warm_cache.py\n@@ -4 +4 @@ from typing import List\n-from huggingface_hub import list_datasets # type: ignore\n+from huggingface_hub.hf_api import HfApi # type: ignore\n@@ -13,0 +14 @@ from admin.config import (\n+ HF_ENDPOINT,\n@@ -22 +23 @@ def get_hf_dataset_names():\n- return [str(dataset.id) for dataset in list_datasets(full=False)]\n+ return [str(dataset.id) for dataset in HfApi(HF_ENDPOINT).list_datasets(full=False)]\ndiff --git a/services/api/.env.example b/services/api/.env.example\nindex 85e64b49..5b4cda96 100644\n--- a/services/api/.env.example\n+++ b/services/api/.env.example\n@@ -13,3 +13,2 @@\n-# External authentication URL.\n-# %s will be replaced with the dataset name, for example:\n-# \"https://huggingface.co/api/datasets/%s/auth-check\"\n+# External authentication path.\n+# %s will be replaced with the dataset name\n@@ -19 +18,4 @@\n-# EXTERNAL_AUTH_URL=\n+# HF_AUTH_PATH=\"/api/datasets/%s/auth-check\"\n+\n+# URL of the HuggingFace Hub\n+# HF_ENDPOINT=\"https://huggingface.co\"\ndiff --git a/services/api/README.md b/services/api/README.md\nindex f4ffe6c9..da97c811 100644\n--- a/services/api/README.md\n+++ b/services/api/README.md\n@@ -23 +23,2 @@ Set environment variables to configure the following aspects:\n-- `EXTERNAL_AUTH_URL`: the URL of the external authentication service. The string must contain `%s` which will be replaced with the dataset name, e.g. \"https://huggingface.co/api/datasets/%s/auth-check\". The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. Defaults to empty, in which case the authentication is disabled.\n+- `HF_AUTH_PATH`: the path of the external authentication service, on the hub (see `HF_ENDPOINT`). The string must contain `%s` which will be replaced with the dataset name. The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. If empty, the authentication is disabled. Defaults to \"/api/datasets/%s/auth-check\".\n+- `HF_ENDPOINT`: URL of the HuggingFace Hub. Defaults to `https://huggingface.co`.\ndiff --git a/services/api/poetry.lock b/services/api/poetry.lock\nindex b3a999b6..8eee90a0 100644\n--- a/services/api/poetry.lock\n+++ b/services/api/poetry.lock\n@@ -305,12 +304,0 @@ requests = [\"requests (>=2.4.0,<3.0.0)\"]\n-[[package]]\n-name = \"filelock\"\n-version = \"3.7.1\"\n-description = \"A platform independent file lock.\"\n-category = \"main\"\n-optional = false\n-python-versions = \">=3.7\"\n-\n-[package.extras]\n-docs = [\"furo (>=2021.8.17b43)\", \"sphinx (>=4.1)\", \"sphinx-autodoc-typehints (>=1.12)\"]\n-testing = [\"covdefaults (>=1.2.0)\", \"coverage (>=4)\", \"pytest (>=4)\", \"pytest-cov\", \"pytest-timeout (>=1.4.2)\"]\n-\n@@ -388,24 +375,0 @@ python-versions = \">=3.6\"\n-[[package]]\n-name = \"huggingface-hub\"\n-version = \"0.5.1\"\n-description = \"Client library to download and publish models on the huggingface.co hub\"\n-category = \"main\"\n-optional = false\n-python-versions = \">=3.7.0\"\n-\n-[package.dependencies]\n-filelock = \"*\"\n-packaging = \">=20.9\"\n-pyyaml = \"*\"\n-requests = \"*\"\n-tqdm = \"*\"\n-typing-extensions = \">=3.7.4.3\"\n-\n-[package.extras]\n-all = [\"pytest\", \"datasets\", \"soundfile\", \"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-dev = [\"pytest\", \"datasets\", \"soundfile\", \"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-quality = [\"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-tensorflow = [\"tensorflow\", \"pydot\", \"graphviz\"]\n-testing = [\"pytest\", \"datasets\", \"soundfile\"]\n-torch = [\"torch\"]\n-\n@@ -635 +599 @@ description = \"Core utilities for Python packages\"\n-category = \"main\"\n+category = \"dev\"\n@@ -833 +797 @@ description = \"pyparsing module - Classes and methods to define and execute pars\n-category = \"main\"\n+category = \"dev\"\n@@ -1215 +1179 @@ python-versions = \"3.9.6\"\n-content-hash = \"6a11079f50641f701c329bbaffd41c978db7594c7ee2ce690549b0aa8a648e74\"\n+content-hash = \"91aabf5e4bce2ef091ca5c8eed7ce75204ffd749e0acb29dfaf48db566a8cdf4\"\n@@ -1437,4 +1400,0 @@ elasticsearch = [\n-filelock = [\n- {file = \"filelock-3.7.1-py3-none-any.whl\", hash = \"sha256:37def7b658813cda163b56fc564cdc75e86d338246458c4c28ae84cabefa2404\"},\n- {file = \"filelock-3.7.1.tar.gz\", hash = \"sha256:3a0fd85166ad9dbab54c9aec96737b744106dc5f15c0b09a6744a445299fcf04\"},\n-]\n@@ -1464,4 +1423,0 @@ h11 = [\n-huggingface-hub = [\n- {file = \"huggingface_hub-0.5.1-py3-none-any.whl\", hash = \"sha256:b9fd1f567a3fb16e73acc613e78d075d1926d4b0c5c56ba08c4f125707b50c70\"},\n- {file = \"huggingface_hub-0.5.1.tar.gz\", hash = \"sha256:d90d657dca0d6a577f640ff684a58da8e5c76258e485100e885a0e7307e2eb12\"},\n-]\ndiff --git a/services/api/pyproject.toml b/services/api/pyproject.toml\nindex 8049e0c9..c4ddd52b 100644\n--- a/services/api/pyproject.toml\n+++ b/services/api/pyproject.toml\n@@ -8 +7,0 @@ version = \"0.1.3\"\n-huggingface-hub = \"^0.5.1\"\ndiff --git a/services/api/src/api/config.py b/services/api/src/api/config.py\nindex f1351513..8d0b6c1e 100644\n--- a/services/api/src/api/config.py\n+++ b/services/api/src/api/config.py\n@@ -11 +11,2 @@ from api.constants import (\n- DEFAULT_EXTERNAL_AUTH_URL,\n+ DEFAULT_HF_AUTH_PATH,\n+ DEFAULT_HF_ENDPOINT,\n@@ -27 +28,2 @@ ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key=\"ASSETS_DIRECTORY\", d\n-EXTERNAL_AUTH_URL = get_str_or_none_value(d=os.environ, key=\"EXTERNAL_AUTH_URL\", default=DEFAULT_EXTERNAL_AUTH_URL)\n+HF_AUTH_PATH = get_str_or_none_value(d=os.environ, key=\"HF_AUTH_PATH\", default=DEFAULT_HF_AUTH_PATH)\n+HF_ENDPOINT = get_str_value(d=os.environ, key=\"HF_ENDPOINT\", default=DEFAULT_HF_ENDPOINT)\n@@ -33,0 +36,2 @@ MONGO_URL = get_str_value(d=os.environ, key=\"MONGO_URL\", default=DEFAULT_MONGO_U\n+\n+EXTERNAL_AUTH_URL = None if HF_AUTH_PATH is None else f\"{HF_ENDPOINT}{HF_AUTH_PATH}\"\ndiff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py\nindex f295a6ae..3ca9ddfb 100644\n--- a/services/api/src/api/constants.py\n+++ b/services/api/src/api/constants.py\n@@ -6 +6,2 @@ DEFAULT_DATASETS_ENABLE_PRIVATE: bool = False\n-DEFAULT_EXTERNAL_AUTH_URL: None = None\n+DEFAULT_HF_AUTH_PATH: str = \"/api/datasets/%s/auth-check\"\n+DEFAULT_HF_ENDPOINT: str = \"https://huggingface.co\"\ndiff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py\nindex dbbfaf6a..21398c4e 100644\n--- a/services/api/tests/conftest.py\n+++ b/services/api/tests/conftest.py\n@@ -3 +3,2 @@ import os\n-os.environ[\"EXTERNAL_AUTH_URL\"] = \"https://auth.check/%s\"\n+os.environ[\"HF_AUTH_PATH\"] = \"/%s\"\n+os.environ[\"HF_ENDPOINT\"] = \"https://fake.url\"\ndiff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py\nindex 37c9e178..f1d35c8b 100644\n--- a/services/api/tests/test_app.py\n+++ b/services/api/tests/test_app.py\n@@ -32,0 +33,2 @@ from .utils import request_callback\n+external_auth_url = EXTERNAL_AUTH_URL or \"%s\" # for mypy\n+\n@@ -86 +88 @@ def test_get_is_valid(client: TestClient) -> None:\n- responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback)\n@@ -126 +128 @@ def test_is_valid_auth(\n- responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback)\n@@ -198 +200 @@ def test_splits_next_auth(client: TestClient, headers: Dict[str, str], status_co\n- responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback)\n@@ -329 +331 @@ def test_splits_cache_refreshing(client: TestClient) -> None:\n- responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback)\n@@ -350 +352 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None:\n- responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback)\ndiff --git a/services/worker/.env.example b/services/worker/.env.example\nindex 50395533..5b591c17 100644\n--- a/services/worker/.env.example\n+++ b/services/worker/.env.example\n@@ -9,0 +10,3 @@\n+# URL of the HuggingFace Hub\n+# HF_ENDPOINT=\"https://huggingface.co\"\n+\ndiff --git a/services/worker/README.md b/services/worker/README.md\nindex dcd67028..87e028ff 100644\n--- a/services/worker/README.md\n+++ b/services/worker/README.md\n@@ -41,0 +42 @@ Set environment variables to configure the following aspects:\n+- `HF_ENDPOINT`: URL of the HuggingFace Hub. Defaults to `https://huggingface.co`.\ndiff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py\nindex e46fd111..1bafb180 100644\n--- a/services/worker/src/worker/config.py\n+++ b/services/worker/src/worker/config.py\n@@ -10,0 +11 @@ from worker.constants import (\n+ DEFAULT_HF_ENDPOINT,\n@@ -34,0 +36 @@ DATASETS_REVISION = get_str_value(d=os.environ, key=\"DATASETS_REVISION\", default\n+HF_ENDPOINT = get_str_value(d=os.environ, key=\"HF_ENDPOINT\", default=DEFAULT_HF_ENDPOINT)\n@@ -53,0 +56,2 @@ os.environ[\"HF_SCRIPTS_VERSION\"] = DATASETS_REVISION\n+# Ensure the datasets library uses the expected HuggingFace endpoint\n+os.environ[\"HF_ENDPOINT\"] = HF_ENDPOINT\ndiff --git a/services/worker/src/worker/constants.py b/services/worker/src/worker/constants.py\nindex a37866f8..0864ddd7 100644\n--- a/services/worker/src/worker/constants.py\n+++ b/services/worker/src/worker/constants.py\n@@ -5,0 +6 @@ DEFAULT_DATASETS_REVISION: str = \"main\"\n+DEFAULT_HF_ENDPOINT: str = \"https://huggingface.co\"\ndiff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py\nindex b97f6237..20838f48 100644\n--- a/services/worker/src/worker/main.py\n+++ b/services/worker/src/worker/main.py\n@@ -23,0 +24 @@ from worker.config import (\n+ HF_ENDPOINT,\n@@ -59 +60 @@ def process_next_splits_job() -> bool:\n- http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_token=HF_TOKEN)\n+ http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN)\n@@ -92,0 +94 @@ def process_next_first_rows_job() -> bool:\n+ hf_endpoint=HF_ENDPOINT,\ndiff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py\nindex 8bfec024..60e8ac1d 100644\n--- a/services/worker/src/worker/refresh.py\n+++ b/services/worker/src/worker/refresh.py\n@@ -26 +26 @@ logger = logging.getLogger(__name__)\n-def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]:\n+def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]:\n@@ -28 +28 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> Tuple[H\n- response = get_splits_response(dataset_name, hf_token)\n+ response = get_splits_response(dataset_name, hf_endpoint, hf_token)\n@@ -75,0 +76 @@ def refresh_first_rows(\n+ hf_endpoint: str,\n@@ -87,0 +89 @@ def refresh_first_rows(\n+ hf_endpoint=hf_endpoint,\ndiff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py\nindex 956df156..746b170b 100644\n--- a/services/worker/src/worker/responses/first_rows.py\n+++ b/services/worker/src/worker/responses/first_rows.py\n@@ -239,0 +240 @@ def get_first_rows_response(\n+ hf_endpoint: str,\n@@ -301 +302 @@ def get_first_rows_response(\n- splits_response = get_splits_response(dataset_name, hf_token)\n+ splits_response = get_splits_response(dataset_name, hf_endpoint, hf_token)\ndiff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py\nindex 65283d1b..c0e481bb 100644\n--- a/services/worker/src/worker/responses/splits.py\n+++ b/services/worker/src/worker/responses/splits.py\n@@ -10,2 +10,2 @@ from datasets import (\n-from huggingface_hub import dataset_info # type:ignore\n-from huggingface_hub.utils import RepositoryNotFoundError # type:ignore\n+from huggingface_hub.hf_api import HfApi # type: ignore\n+from huggingface_hub.utils import RepositoryNotFoundError # type: ignore\n@@ -43,0 +44 @@ def get_splits_response(\n+ hf_endpoint: str,\n@@ -67 +68 @@ def get_splits_response(\n- # first ensure the dataset exists on the Hub\n+ # first try to get the dataset config info\n@@ -69 +70 @@ def get_splits_response(\n- dataset_info(dataset_name, token=hf_token)\n+ HfApi(endpoint=hf_endpoint).dataset_info(dataset_name, token=hf_token)\ndiff --git a/services/worker/tests/_utils.py b/services/worker/tests/_utils.py\nindex 9b96c9a2..016952be 100644\n--- a/services/worker/tests/_utils.py\n+++ b/services/worker/tests/_utils.py\n@@ -5,0 +6 @@ DEFAULT_ASSETS_BASE_URL: str = \"http://localhost/assets\"\n+DEFAULT_HF_ENDPOINT: str = \"https://huggingface.co\"\n@@ -12,0 +14 @@ ASSETS_BASE_URL = get_str_value(d=os.environ, key=\"ASSETS_BASE_URL\", default=DEF\n+HF_ENDPOINT = get_str_value(d=os.environ, key=\"HF_ENDPOINT\", default=DEFAULT_HF_ENDPOINT)\ndiff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py\nindex ddfe5254..68d73fd1 100644\n--- a/services/worker/tests/conftest.py\n+++ b/services/worker/tests/conftest.py\n@@ -4,0 +5,2 @@ import pytest\n+from ._utils import HF_ENDPOINT\n+\n@@ -8,0 +11,3 @@ def config():\n+\n+\n+os.environ[\"HF_ENDPOINT\"] = HF_ENDPOINT\ndiff --git a/services/worker/tests/deprecated/models/test_dataset.py b/services/worker/tests/deprecated/models/test_dataset.py\nindex f33a89d6..6647c7ff 100644\n--- a/services/worker/tests/deprecated/models/test_dataset.py\n+++ b/services/worker/tests/deprecated/models/test_dataset.py\n@@ -6 +6 @@ from worker.deprecated.models.dataset import get_dataset_split_full_names\n-from ..._utils import HF_TOKEN\n+# from ..._utils import HF_TOKEN\n@@ -53,8 +53,9 @@ def test_splits_fallback() -> None:\n-def test_gated() -> None:\n- split_full_names = get_dataset_split_full_names(\"severo/dummy_gated\", HF_TOKEN)\n- assert len(split_full_names) == 1\n- assert {\n- \"dataset_name\": \"severo/dummy_gated\",\n- \"config_name\": \"severo--embellishments\",\n- \"split_name\": \"train\",\n- } in split_full_names\n+# disable until https://github.com/huggingface/datasets-server/pull/499 is done\n+# def test_gated() -> None:\n+# split_full_names = get_dataset_split_full_names(\"severo/dummy_gated\", HF_TOKEN)\n+# assert len(split_full_names) == 1\n+# assert {\n+# \"dataset_name\": \"severo/dummy_gated\",\n+# \"config_name\": \"severo--embellishments\",\n+# \"split_name\": \"train\",\n+# } in split_full_names\ndiff --git a/services/worker/tests/deprecated/models/test_split.py b/services/worker/tests/deprecated/models/test_split.py\nindex 58b8bd7c..9fdce8d2 100644\n--- a/services/worker/tests/deprecated/models/test_split.py\n+++ b/services/worker/tests/deprecated/models/test_split.py\n@@ -104,0 +105 @@ def test_get_split() -> None:\n+# disable until https://github.com/huggingface/datasets-server/pull/499 is done\ndiff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py\nindex 2e02aa71..5ef6eff3 100644\n--- a/services/worker/tests/responses/test_first_rows.py\n+++ b/services/worker/tests/responses/test_first_rows.py\n@@ -3 +3 @@ from worker.responses.first_rows import get_first_rows_response\n-from .._utils import ASSETS_BASE_URL\n+from .._utils import ASSETS_BASE_URL, HF_ENDPOINT\n@@ -13,0 +14 @@ def test_number_rows() -> None:\n+ hf_endpoint=HF_ENDPOINT,\n@@ -25,0 +27 @@ def test_get_first_rows_response() -> None:\n+ hf_endpoint=HF_ENDPOINT,\n@@ -48 +50,6 @@ def test_no_features() -> None:\n- \"severo/fix-401\", \"severo--fix-401\", \"train\", rows_max_number=1, assets_base_url=ASSETS_BASE_URL\n+ \"severo/fix-401\",\n+ \"severo--fix-401\",\n+ \"train\",\n+ rows_max_number=1,\n+ assets_base_url=ASSETS_BASE_URL,\n+ hf_endpoint=HF_ENDPOINT,\ndiff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py\nindex d265d70a..9bba6a10 100644\n--- a/services/worker/tests/responses/test_splits.py\n+++ b/services/worker/tests/responses/test_splits.py\n@@ -7 +7 @@ from worker.utils import SplitsNamesError\n-from .._utils import HF_TOKEN\n+from .._utils import HF_ENDPOINT, HF_TOKEN\n@@ -54,8 +54,9 @@ def test_splits_fallback() -> None:\n-def test_gated() -> None:\n- split_full_names = get_dataset_split_full_names(\"severo/dummy_gated\", HF_TOKEN)\n- assert len(split_full_names) == 1\n- assert {\n- \"dataset_name\": \"severo/dummy_gated\",\n- \"config_name\": \"severo--embellishments\",\n- \"split_name\": \"train\",\n- } in split_full_names\n+# disable until https://github.com/huggingface/datasets-server/pull/499 is done\n+# def test_gated() -> None:\n+# split_full_names = get_dataset_split_full_names(\"severo/dummy_gated\", HF_TOKEN)\n+# assert len(split_full_names) == 1\n+# assert {\n+# \"dataset_name\": \"severo/dummy_gated\",\n+# \"config_name\": \"severo--embellishments\",\n+# \"split_name\": \"train\",\n+# } in split_full_names\n@@ -66 +67 @@ def test_disclose_cause() -> None:\n- get_splits_response(\"akhaliq/test\", HF_TOKEN)\n+ get_splits_response(\"akhaliq/test\", HF_ENDPOINT, HF_TOKEN)\ndiff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py\nindex eb2aa223..11f66a72 100644\n--- a/services/worker/tests/test_refresh.py\n+++ b/services/worker/tests/test_refresh.py\n@@ -17,0 +18 @@ from ._utils import (\n+ HF_ENDPOINT,\n@@ -44 +45 @@ def test_doesnotexist() -> None:\n- assert refresh_splits(dataset_name) == (HTTPStatus.NOT_FOUND, False)\n+ assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.NOT_FOUND, False)\n@@ -53 +54 @@ def test_e2e_examples() -> None:\n- assert refresh_splits(dataset_name) == (HTTPStatus.OK, False)\n+ assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False)\n@@ -60 +61 @@ def test_e2e_examples() -> None:\n- assert refresh_splits(dataset_name) == (HTTPStatus.OK, False)\n+ assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False)\n@@ -71 +72 @@ def test_large_document() -> None:\n- assert refresh_splits(dataset_name) == (HTTPStatus.OK, False)\n+ assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False)\n@@ -78 +79 @@ def test_first_rows() -> None:\n- http_status, _ = refresh_first_rows(\"common_voice\", \"tr\", \"train\", ASSETS_BASE_URL)\n+ http_status, _ = refresh_first_rows(\"common_voice\", \"tr\", \"train\", ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT)\ndiff --git a/tools/DockerRemoteImages.mk b/tools/DockerRemoteImages.mk\nindex 723142fb..149cd420 100644\n--- a/tools/DockerRemoteImages.mk\n+++ b/tools/DockerRemoteImages.mk\n@@ -1,7 +1,7 @@\n-export SERVICE_ADMIN_DOCKER_IMAGE := $(shell jq -r '.dockerImage.admin' ${DOCKER_IMAGES})\n-export SERVICE_API_DOCKER_IMAGE := $(shell jq -r '.dockerImage.api' ${DOCKER_IMAGES})\n-export SERVICE_REVERSE_PROXY_DOCKER_IMAGE := $(shell jq -r '.dockerImage.reverseProxy' ${DOCKER_IMAGES})\n-export SERVICE_WORKER_DATASETS_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.datasets' ${DOCKER_IMAGES})\n-export SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES})\n-export SERVICE_WORKER_SPLITS_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.splits' ${DOCKER_IMAGES})\n-export SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.splitsNext' ${DOCKER_IMAGES})\n+export IMAGE_ADMIN := $(shell jq -r '.dockerImage.admin' ${DOCKER_IMAGES})\n+export IMAGE_API := $(shell jq -r '.dockerImage.api' ${DOCKER_IMAGES})\n+export IMAGE_REVERSE_PROXY := $(shell jq -r '.dockerImage.reverseProxy' ${DOCKER_IMAGES})\n+export IMAGE_WORKER_DATASETS := $(shell jq -r '.dockerImage.worker.datasets' ${DOCKER_IMAGES})\n+export IMAGE_WORKER_FIRST_ROWS := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES})\n+export IMAGE_WORKER_SPLITS := $(shell jq -r '.dockerImage.worker.splits' ${DOCKER_IMAGES})\n+export IMAGE_WORKER_SPLITS_NEXT := $(shell jq -r '.dockerImage.worker.splitsNext' ${DOCKER_IMAGES})\ndiff --git a/tools/Python.mk b/tools/Python.mk\nindex f606049a..8f978632 100644\n--- a/tools/Python.mk\n+++ b/tools/Python.mk\n@@ -46,2 +46,2 @@ test:\n-\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down\n+\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up\n@@ -49 +49 @@ test:\n-\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down\n@@ -53,2 +53,2 @@ coverage:\n-\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down\n+\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up\n@@ -56 +56 @@ coverage:\n-\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down\ndiff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml\nindex 36494020..1dbdfc48 100644\n--- a/tools/docker-compose-datasets-server-from-local-code.yml\n+++ b/tools/docker-compose-datasets-server-from-local-code.yml\n@@ -11 +11 @@ services:\n- - \"${SERVICE_REVERSE_PROXY_PORT-8000}:80\"\n+ - \"${PORT_REVERSE_PROXY-8000}:80\"\n@@ -36 +36 @@ services:\n- EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL}\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n@@ -40 +40 @@ services:\n- - ${SERVICE_API_PORT-8080}:8080\n+ - ${PORT_API-8080}:8080\n@@ -53 +53 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -55,0 +56,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -70 +72 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -72,0 +75,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -87 +91 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -89,0 +94,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -104 +110 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -106,0 +113,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -125 +133 @@ services:\n- - ${SERVICE_ADMIN_PORT-8081}:8081\n+ - ${PORT_ADMIN-8081}:8081\ndiff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml\nindex 9eafb7b6..dd3e4934 100644\n--- a/tools/docker-compose-datasets-server-from-remote-images.yml\n+++ b/tools/docker-compose-datasets-server-from-remote-images.yml\n@@ -4 +4 @@ services:\n- image: ${SERVICE_REVERSE_PROXY_DOCKER_IMAGE?SERVICE_REVERSE_PROXY_DOCKER_IMAGE env var must be provided}\n+ image: ${IMAGE_REVERSE_PROXY?IMAGE_REVERSE_PROXY env var must be provided}\n@@ -11 +11 @@ services:\n- - \"${SERVICE_REVERSE_PROXY_PORT-8000}:80\"\n+ - \"${PORT_REVERSE_PROXY-8000}:80\"\n@@ -25 +25 @@ services:\n- image: ${SERVICE_API_DOCKER_IMAGE?SERVICE_API_DOCKER_IMAGE env var must be provided}\n+ image: ${IMAGE_API?IMAGE_API env var must be provided}\n@@ -33 +33 @@ services:\n- EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL-\"\"}\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n@@ -40 +40 @@ services:\n- - ${SERVICE_API_PORT-8080}:8080\n+ - ${PORT_API-8080}:8080\n@@ -45 +45 @@ services:\n- image: ${SERVICE_WORKER_DATASETS_DOCKER_IMAGE?SERVICE_WORKER_DATASETS_DOCKER_IMAGE env var must be provided}\n+ image: ${IMAGE_WORKER_DATASETS?IMAGE_WORKER_DATASETS env var must be provided}\n@@ -50 +50 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -52,0 +53,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -61 +63 @@ services:\n- image: ${SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE?SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE env var must be provided}\n+ image: ${IMAGE_WORKER_FIRST_ROWS?IMAGE_WORKER_FIRST_ROWS env var must be provided}\n@@ -66 +68 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -68,0 +71,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -77 +81 @@ services:\n- image: ${SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE?SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE env var must be provided}\n+ image: ${IMAGE_WORKER_SPLITS_NEXT?IMAGE_WORKER_SPLITS_NEXT env var must be provided}\n@@ -82 +86 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -84,0 +89,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -93 +99 @@ services:\n- image: ${SERVICE_WORKER_SPLITS_DOCKER_IMAGE?SERVICE_WORKER_SPLITS_DOCKER_IMAGE env var must be provided}\n+ image: ${IMAGE_WORKER_SPLITS?IMAGE_WORKER_SPLITS env var must be provided}\n@@ -98 +104 @@ services:\n- ASSETS_BASE_URL: \"http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets\"\n+ ASSETS_BASE_URL: \"http://localhost:${PORT_REVERSE_PROXY-8000}/assets\"\n@@ -100,0 +107,2 @@ services:\n+ HF_ENDPOINT: ${HF_ENDPOINT}\n+ HF_TOKEN: ${HF_TOKEN}\n@@ -109 +117 @@ services:\n- image: ${SERVICE_ADMIN_DOCKER_IMAGE?SERVICE_ADMIN_DOCKER_IMAGE env var must be provided}\n+ image: ${IMAGE_ADMIN?IMAGE_ADMIN env var must be provided}\n@@ -121 +129 @@ services:\n- - ${SERVICE_ADMIN_PORT-8081}:8081\n+ - ${PORT_ADMIN-8081}:8081"}}},{"rowIdx":1675,"cells":{"hash":{"kind":"string","value":"52bc20262151ac54b761df5bc0ee5756a3a0f60d"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-03T22:01:55","string":"2022-08-03T22:01:55"},"subject":{"kind":"string","value":"Add auth to api endpoints (#495)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml\nindex 65b2f48e..bae43f79 100644\n--- a/.github/workflows/_e2e_tests.yml\n+++ b/.github/workflows/_e2e_tests.yml\n@@ -69,0 +70 @@ jobs:\n+ EXTERNAL_AUTH_URL: \"https://huggingface.co/api/datasets/%s/auth-check\"\ndiff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml\nindex 34718a0c..df49fc0d 100644\n--- a/.github/workflows/s-worker.yml\n+++ b/.github/workflows/s-worker.yml\n@@ -18,2 +18,2 @@ jobs:\n- # pillow <9.0.0\n- safety-exceptions: \"-i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487\"\n+ # pillow <9.0.0, ujson<5.4.0\n+ safety-exceptions: \"-i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487 -i 49754 -i 49755\"\ndiff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex e6c4fe3b..e58c2883 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-645ac01\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-1f51ac9\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-70dca73\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-70dca73\",\ndiff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template\nindex c03d7118..29097024 100644\n--- a/chart/nginx-templates/default.conf.template\n+++ b/chart/nginx-templates/default.conf.template\n@@ -1,2 +0,0 @@\n-proxy_cache_path ${CACHE_DIRECTORY}/ levels=1:2 keys_zone=STATIC:${CACHE_ZONE_SIZE} inactive=${CACHE_INACTIVE} max_size=${CACHE_MAX_SIZE};\n-\n@@ -31,11 +28,0 @@ server {\n- # cache all the HEAD+GET requests (without Set-Cookie)\n- # Cache-Control is used to determine the cache duration\n- # see https://www.nginx.com/blog/nginx-caching-guide/\n- proxy_buffering on;\n- proxy_cache STATIC;\n- proxy_cache_use_stale off;\n- proxy_cache_background_update off;\n- proxy_cache_lock off;\n- add_header X-Cache-Status $upstream_cache_status;\n- # we have to add Access-Control-Allow-Origin again, see https://nginx.org/en/docs/http/ngx_http_headers_module.html#add_header\n- add_header 'Access-Control-Allow-Origin' '*' always;\n@@ -51,11 +37,0 @@ server {\n- # cache all the HEAD+GET requests (without Set-Cookie)\n- # Cache-Control is used to determine the cache duration\n- # see https://www.nginx.com/blog/nginx-caching-guide/\n- proxy_buffering on;\n- proxy_cache STATIC;\n- proxy_cache_use_stale off;\n- proxy_cache_background_update off;\n- proxy_cache_lock off;\n- add_header X-Cache-Status $upstream_cache_status;\n- # we have to add Access-Control-Allow-Origin again, see https://nginx.org/en/docs/http/ngx_http_headers_module.html#add_header\n- add_header 'Access-Control-Allow-Origin' '*' always;\ndiff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 11382739..6af03beb 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -42,0 +43,8 @@\n+ \"HealthCheckResponse\": {\n+ \"type\": \"string\",\n+ \"example\": \"ok\"\n+ },\n+ \"ServerErrorResponse\": {\n+ \"type\": \"string\",\n+ \"example\": \"Internal Server Error\"\n+ },\n@@ -758,0 +767,14 @@\n+ },\n+ \"securitySchemes\": {\n+ \"HuggingFaceCookie\": {\n+ \"type\": \"apiKey\",\n+ \"description\": \"The HuggingFace cookie. Get it by logging in to https://huggingface.co/. It can only be used from the huggingface.co domain, and can thus only be used by Hub features like the [dataset viewer](https://huggingface.co/docs/hub/datasets-viewer), for example.\",\n+ \"name\": \"token\",\n+ \"in\": \"cookie\"\n+ },\n+ \"HuggingFaceToken\": {\n+ \"type\": \"http\",\n+ \"description\": \"The HuggingFace API token. Create a User Access Token with read access at https://huggingface.co/settings/tokens. You can also use an Organization API token. It gives access to the public datasets, and to the [gated datasets](https://huggingface.co/docs/hub/datasets-gated) for which you have accepted the conditions.\",\n+ \"scheme\": \"bearer\",\n+ \"bearerFormat\": \"A User Access Token is prefixed with `hf_`, while an Organization API token is prefixed with `api_org_`.\"\n+ }\n@@ -761,0 +784,53 @@\n+ \"/healthcheck\": {\n+ \"get\": {\n+ \"summary\": \"Healthcheck\",\n+ \"description\": \"An endpoint to check if the API is up.\",\n+ \"operationId\": \"healthCheck\",\n+ \"parameters\": [],\n+ \"responses\": {\n+ \"200\": {\n+ \"description\": \"Valid response.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ }\n+ },\n+ \"content\": {\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/HealthCheckResponse\"\n+ },\n+ \"examples\": {\n+ \"valid\": {\n+ \"summary\": \"Valid response\",\n+ \"value\": \"ok\"\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed.\",\n+ \"headers\": {},\n+ \"content\": {\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n@@ -970,0 +1046,13 @@\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n@@ -1736,0 +1825,13 @@\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n@@ -1812,0 +1914,13 @@\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n@@ -1827,0 +1942,9 @@\n+ \"security\": [\n+ {},\n+ {\n+ \"HuggingFaceCookie\": []\n+ },\n+ {\n+ \"HuggingFaceToken\": []\n+ }\n+ ],\n@@ -1876,0 +2000,113 @@\n+ \"401\": {\n+ \"description\": \"If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is gated.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"404\": {\n+ \"description\": \"If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"422\": {\n+ \"description\": \"The `dataset` parameter has not been provided.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"missing-parameter\": {\n+ \"summary\": \"The dataset parameter is missing.\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ },\n+ \"empty-parameter\": {\n+ \"summary\": \"The dataset parameter is empty (?dataset=).\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ }\n+ }\n+ }\n+ }\n+ },\n@@ -1902,0 +2139,13 @@\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n@@ -1917,0 +2167,9 @@\n+ \"security\": [\n+ {},\n+ {\n+ \"HuggingFaceCookie\": []\n+ },\n+ {\n+ \"HuggingFaceToken\": []\n+ }\n+ ],\n@@ -2030,2 +2288,2 @@\n- \"404\": {\n- \"description\": \"If the repository to download from cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.\",\n+ \"401\": {\n+ \"description\": \"If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.\",\n@@ -2052 +2310,7 @@\n- \"error\": \"Not found.\"\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is gated.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n@@ -2058 +2322,42 @@\n- \"error\": \"Not found.\"\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"404\": {\n+ \"description\": \"If the repository to download from cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n@@ -2164,0 +2470,13 @@\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\n@@ -2179,0 +2498,9 @@\n+ \"security\": [\n+ {},\n+ {\n+ \"HuggingFaceCookie\": []\n+ },\n+ {\n+ \"HuggingFaceToken\": []\n+ }\n+ ],\n@@ -2784,0 +3112,41 @@\n+ \"401\": {\n+ \"description\": \"If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is gated.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n@@ -2805,2 +3173,10 @@\n- \"summary\": \"The dataset does not exist on the Hub.\",\n- \"value\": { \"error\": \"Not found.\" }\n+ \"summary\": \"The dataset does not exist, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n+ },\n+ \"gated-dataset\": {\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n@@ -2809,2 +3185,4 @@\n- \"summary\": \"The dataset is private.\",\n- \"value\": { \"error\": \"Not found.\" }\n+ \"summary\": \"The dataset is private, while authentication was provided in the request.\",\n+ \"value\": {\n+ \"error\": \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ }\n@@ -3006,0 +3385,13 @@\n+ },\n+ \"text/plain\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/ServerErrorResponse\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Internal Server Error\"\n+ }\n+ }\n+ }\ndiff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl\nindex c316704e..e24b97fd 100644\n--- a/chart/templates/api/_container.tpl\n+++ b/chart/templates/api/_container.tpl\n@@ -11,0 +12,2 @@\n+ - name: EXTERNAL_AUTH_URL\n+ value: {{ .Values.api.externalAuthUrl | quote }}\ndiff --git a/chart/values.yaml b/chart/values.yaml\nindex 25ff4445..1d82cef2 100644\n--- a/chart/values.yaml\n+++ b/chart/values.yaml\n@@ -92,0 +93,7 @@ api:\n+ # External authentication URL.\n+ # %s will be replaced with the dataset name, for example:\n+ # \"https://huggingface.co/api/datasets/%s/auth-check\"\n+ # The authentication service must follow the specification in\n+ # https://nginx.org/en/docs/http/ngx_http_auth_request_module.html\n+ # and return 200, 401 or 403\n+ externalAuthUrl: \"https://huggingface.co/api/datasets/%s/auth-check\"\ndiff --git a/e2e/Makefile b/e2e/Makefile\nindex adb4b3b2..8b4921d4 100644\n--- a/e2e/Makefile\n+++ b/e2e/Makefile\n@@ -6,2 +5,0 @@ export TEST_MONGO_PORT := 27050\n-export TEST_MONGO_CACHE_DATABASE := datasets_server_cache_test\n-export TEST_MONGO_QUEUE_DATABASE := datasets_server_queue_test\n@@ -9,0 +8 @@ export TEST_COMPOSE_PROJECT_NAME := e2e\n+export TEST_EXTERNAL_AUTH_URL := https://huggingface.co/api/datasets/%s/auth-check\ndiff --git a/e2e/tests/test_healthcheck.py b/e2e/tests/test_10_healthcheck.py\nsimilarity index 55%\nrename from e2e/tests/test_healthcheck.py\nrename to e2e/tests/test_10_healthcheck.py\nindex b5731c7b..094fe792 100644\n--- a/e2e/tests/test_healthcheck.py\n+++ b/e2e/tests/test_10_healthcheck.py\n@@ -7,2 +7,2 @@ def test_healthcheck():\n- assert response.status_code == 200\n- assert response.text == \"ok\"\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n+ assert response.text == \"ok\", response.text\ndiff --git a/e2e/tests/test_splits_and_rows.py b/e2e/tests/test_20_splits_and_rows.py\nsimilarity index 85%\nrename from e2e/tests/test_splits_and_rows.py\nrename to e2e/tests/test_20_splits_and_rows.py\nindex 63eb1467..dc55326c 100644\n--- a/e2e/tests/test_splits_and_rows.py\n+++ b/e2e/tests/test_20_splits_and_rows.py\n@@ -19,2 +19,2 @@ def test_get_dataset():\n- assert r_splits.json()[\"splits\"][0][\"split\"] == \"train\"\n- assert r_rows.json()[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\"\n+ assert r_splits.json()[\"splits\"][0][\"split\"] == \"train\", r_splits.text\n+ assert r_rows.json()[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\", r_splits.text\n@@ -38 +38 @@ def test_bug_empty_split():\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n@@ -42 +42 @@ def test_bug_empty_split():\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n@@ -47 +47 @@ def test_bug_empty_split():\n- assert response.status_code == 400\n+ assert response.status_code == 400, f\"{response.status_code} - {response.text}\"\n@@ -49 +49 @@ def test_bug_empty_split():\n- assert json[\"message\"] == \"The split is being processed. Retry later.\"\n+ assert json[\"message\"] == \"The split is being processed. Retry later.\", json\n@@ -53 +53 @@ def test_bug_empty_split():\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n@@ -61 +61 @@ def test_bug_empty_split():\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n@@ -63 +63 @@ def test_bug_empty_split():\n- assert len(json[\"rows\"]) == ROWS_MAX_NUMBER\n+ assert len(json[\"rows\"]) == ROWS_MAX_NUMBER, json\ndiff --git a/e2e/tests/test_splits_next_and_first_rows.py b/e2e/tests/test_30_splits_next_and_first_rows.py\nsimilarity index 54%\nrename from e2e/tests/test_splits_next_and_first_rows.py\nrename to e2e/tests/test_30_splits_next_and_first_rows.py\nindex ae026989..4ad01125 100644\n--- a/e2e/tests/test_splits_next_and_first_rows.py\n+++ b/e2e/tests/test_30_splits_next_and_first_rows.py\n@@ -10 +10 @@ def test_get_dataset_next():\n- assert r_splits.json()[\"splits\"][0][\"split_name\"] == \"train\"\n+ assert r_splits.json()[\"splits\"][0][\"split_name\"] == \"train\", f\"{r_splits.status_code} - {r_splits.text}\"\n@@ -12 +12 @@ def test_get_dataset_next():\n- assert r_rows.status_code == 200\n+ assert r_rows.status_code == 200, f\"{r_rows.status_code} - {r_rows.text}\"\n@@ -14,8 +14,8 @@ def test_get_dataset_next():\n- assert \"features\" in json\n- assert json[\"features\"][0][\"name\"] == \"id\"\n- assert json[\"features\"][0][\"type\"][\"_type\"] == \"Value\"\n- assert json[\"features\"][0][\"type\"][\"dtype\"] == \"string\"\n- assert json[\"features\"][2][\"name\"] == \"labels\"\n- assert json[\"features\"][2][\"type\"][\"_type\"] == \"Sequence\"\n- assert json[\"features\"][2][\"type\"][\"feature\"][\"_type\"] == \"ClassLabel\"\n- assert json[\"features\"][2][\"type\"][\"feature\"][\"num_classes\"] == 5\n+ assert \"features\" in json, json\n+ assert json[\"features\"][0][\"name\"] == \"id\", json\n+ assert json[\"features\"][0][\"type\"][\"_type\"] == \"Value\", json\n+ assert json[\"features\"][0][\"type\"][\"dtype\"] == \"string\", json\n+ assert json[\"features\"][2][\"name\"] == \"labels\", json\n+ assert json[\"features\"][2][\"type\"][\"_type\"] == \"Sequence\", json\n+ assert json[\"features\"][2][\"type\"][\"feature\"][\"_type\"] == \"ClassLabel\", json\n+ assert json[\"features\"][2][\"type\"][\"feature\"][\"num_classes\"] == 5, json\n@@ -23,5 +23,5 @@ def test_get_dataset_next():\n- assert len(json[\"rows\"]) == ROWS_MAX_NUMBER\n- assert json[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\"\n- assert type(json[\"rows\"][0][\"row\"][\"labels\"]) is list\n- assert len(json[\"rows\"][0][\"row\"][\"labels\"]) == 18\n- assert json[\"rows\"][0][\"row\"][\"labels\"][0] == 4\n+ assert len(json[\"rows\"]) == ROWS_MAX_NUMBER, json[\"rows\"]\n+ assert json[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\", json[\"rows\"]\n+ assert type(json[\"rows\"][0][\"row\"][\"labels\"]) is list, json[\"rows\"]\n+ assert len(json[\"rows\"][0][\"row\"][\"labels\"]) == 18, json[\"rows\"]\n+ assert json[\"rows\"][0][\"row\"][\"labels\"][0] == 4, json[\"rows\"]\n@@ -40 +40 @@ def test_png_image_next():\n- assert r_rows.status_code == 200\n+ assert r_rows.status_code == 200, f\"{r_rows.status_code} - {r_rows.text}\"\n@@ -43,3 +43,3 @@ def test_png_image_next():\n- assert \"features\" in json\n- assert json[\"features\"][0][\"name\"] == \"image\"\n- assert json[\"features\"][0][\"type\"][\"_type\"] == \"Image\"\n+ assert \"features\" in json, json\n+ assert json[\"features\"][0][\"name\"] == \"image\", json\n+ assert json[\"features\"][0][\"type\"][\"_type\"] == \"Image\", json\n@@ -49 +49,2 @@ def test_png_image_next():\n- )\n+ ), json\n+\ndiff --git a/e2e/tests/test_splits_next.py b/e2e/tests/test_40_splits_next.py\nsimilarity index 60%\nrename from e2e/tests/test_splits_next.py\nrename to e2e/tests/test_40_splits_next.py\nindex d1bdedd5..f32334e6 100644\n--- a/e2e/tests/test_splits_next.py\n+++ b/e2e/tests/test_40_splits_next.py\n@@ -18,2 +18,18 @@ from .utils import (\n- (404, \"inexistent-dataset\", \"severo/inexistent-dataset\", \"SplitsResponseNotFound\"),\n- (404, \"private-dataset\", \"severo/dummy_private\", \"SplitsResponseNotFound\"),\n+ (\n+ 401,\n+ \"inexistent-dataset\",\n+ \"severo/inexistent-dataset\",\n+ \"ExternalUnauthenticatedError\",\n+ ),\n+ (\n+ 401,\n+ \"gated-dataset\",\n+ \"severo/dummy_gated\",\n+ \"ExternalUnauthenticatedError\",\n+ ),\n+ (\n+ 401,\n+ \"private-dataset\",\n+ \"severo/dummy_private\",\n+ \"ExternalUnauthenticatedError\",\n+ ),\n@@ -24 +40 @@ from .utils import (\n- (500, \"not-ready\", \"a_new_dataset\", \"SplitsResponseNotReady\"),\n+ (500, \"not-ready\", \"severo/fix-401\", \"SplitsResponseNotReady\"),\n@@ -42,2 +58,2 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str):\n- assert r_splits.status_code == status\n- assert r_splits.json() == body\n+ assert r_splits.status_code == status, f\"{r_splits.status_code} - {r_splits.text}\"\n+ assert r_splits.json() == body, r_splits.text\n@@ -45 +61 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str):\n- assert r_splits.headers[\"X-Error-Code\"] == error_code\n+ assert r_splits.headers[\"X-Error-Code\"] == error_code, r_splits.headers[\"X-Error-Code\"]\n@@ -47 +63 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str):\n- assert \"X-Error-Code\" not in r_splits.headers\n+ assert \"X-Error-Code\" not in r_splits.headers, r_splits.headers[\"X-Error-Code\"]\ndiff --git a/e2e/tests/test_first_rows.py b/e2e/tests/test_50_first_rows.py\nsimilarity index 81%\nrename from e2e/tests/test_first_rows.py\nrename to e2e/tests/test_50_first_rows.py\nindex 99e5958b..c8705146 100644\n--- a/e2e/tests/test_first_rows.py\n+++ b/e2e/tests/test_50_first_rows.py\n@@ -28 +27,0 @@ def prepare_json(response: requests.Response) -> Any:\n- (404, \"inexistent-dataset\", \"severo/inexistent-dataset\", \"plain_text\", \"train\", \"FirstRowsResponseNotFound\"),\n@@ -30 +29,17 @@ def prepare_json(response: requests.Response) -> Any:\n- 404,\n+ 401,\n+ \"inexistent-dataset\",\n+ \"severo/inexistent-dataset\",\n+ \"plain_text\",\n+ \"train\",\n+ \"ExternalUnauthenticatedError\",\n+ ),\n+ (\n+ 401,\n+ \"gated-dataset\",\n+ \"severo/dummy_gated\",\n+ \"severo--embellishments\",\n+ \"train\",\n+ \"ExternalUnauthenticatedError\",\n+ ),\n+ (\n+ 401,\n@@ -35 +50 @@ def prepare_json(response: requests.Response) -> Any:\n- \"FirstRowsResponseNotFound\",\n+ \"ExternalUnauthenticatedError\",\n@@ -70 +85 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- elif name.startswith(\"inexistent-\") or name.startswith(\"private-\"):\n+ elif name.startswith(\"inexistent-\") or name.startswith(\"private-\") or name.startswith(\"gated-\"):\n@@ -81,2 +96,2 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- assert r_rows.status_code == status\n- assert prepare_json(r_rows) == body\n+ assert r_rows.status_code == status, f\"{r_rows.status_code} - {r_rows.text}\"\n+ assert prepare_json(r_rows) == body, r_rows.text\n@@ -84 +99 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- assert r_rows.headers[\"X-Error-Code\"] == error_code\n+ assert r_rows.headers[\"X-Error-Code\"] == error_code, r_rows.headers[\"X-Error-Code\"]\n@@ -86 +101 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st\n- assert \"X-Error-Code\" not in r_rows.headers\n+ assert \"X-Error-Code\" not in r_rows.headers, r_rows.headers[\"X-Error-Code\"]\ndiff --git a/e2e/tests/test_valid.py b/e2e/tests/test_60_valid.py\nsimilarity index 57%\nrename from e2e/tests/test_valid.py\nrename to e2e/tests/test_60_valid.py\nindex 0c6dc0b2..964cb393 100644\n--- a/e2e/tests/test_valid.py\n+++ b/e2e/tests/test_60_valid.py\n@@ -9 +9 @@ def test_valid_after_datasets_processed():\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n@@ -11,2 +11,2 @@ def test_valid_after_datasets_processed():\n- assert \"acronym_identification\" in response.json()[\"valid\"]\n- assert \"nielsr/CelebA-faces\" in response.json()[\"valid\"]\n+ assert \"acronym_identification\" in response.json()[\"valid\"], response.text\n+ assert \"nielsr/CelebA-faces\" in response.json()[\"valid\"], response.text\ndiff --git a/e2e/tests/test_70_is_valid.py b/e2e/tests/test_70_is_valid.py\nnew file mode 100644\nindex 00000000..52d6d068\n--- /dev/null\n+++ b/e2e/tests/test_70_is_valid.py\n@@ -0,0 +1,16 @@\n+import requests\n+\n+from .utils import URL\n+\n+\n+def test_is_valid_after_datasets_processed():\n+ # this test ensures that a dataset processed successfully returns true in /is-valid\n+ response = requests.get(f\"{URL}/is-valid\")\n+ assert response.status_code == 422, f\"{response.status_code} - {response.text}\"\n+ # at this moment various datasets have been processed (due to the alphabetic order of the test files)\n+ response = requests.get(f\"{URL}/is-valid?dataset=acronym_identification\")\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n+ assert response.json()[\"valid\"] is True, response.text\n+ # without authentication, we get a 401 error when requesting a non-existing dataset\n+ response = requests.get(f\"{URL}/is-valid?dataset=non-existing-dataset\")\n+ assert response.status_code == 401, f\"{response.status_code} - {response.text}\"\ndiff --git a/e2e/tests/utils.py b/e2e/tests/utils.py\nindex bee0d90b..707ed938 100644\n--- a/e2e/tests/utils.py\n+++ b/e2e/tests/utils.py\n@@ -55 +55 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n@@ -59 +59 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response_splits.status_code} - {response_splits.text}\"\n@@ -63 +63 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response_rows.status_code} - {response_rows.text}\"\n@@ -79 +79 @@ def refresh_poll_splits_next(dataset: str) -> requests.Response:\n- assert response.status_code == 200\n+ assert response.status_code == 200, f\"{response.status_code} - {response.text}\"\n@@ -89 +89 @@ def refresh_poll_splits_next_first_rows(\n- assert response_splits.status_code == 200\n+ assert response_splits.status_code == 200, f\"{response_splits.status_code} - {response_splits.text}\"\ndiff --git a/services/api/.env.example b/services/api/.env.example\nindex 49173807..85e64b49 100644\n--- a/services/api/.env.example\n+++ b/services/api/.env.example\n@@ -12,0 +13,8 @@\n+# External authentication URL.\n+# %s will be replaced with the dataset name, for example:\n+# \"https://huggingface.co/api/datasets/%s/auth-check\"\n+# The authentication service must follow the specification in\n+# https://nginx.org/en/docs/http/ngx_http_auth_request_module.html\n+# and return 200, 401 or 403\n+# EXTERNAL_AUTH_URL=\n+\ndiff --git a/services/api/README.md b/services/api/README.md\nindex fd0e73cc..f4ffe6c9 100644\n--- a/services/api/README.md\n+++ b/services/api/README.md\n@@ -22,0 +23 @@ Set environment variables to configure the following aspects:\n+- `EXTERNAL_AUTH_URL`: the URL of the external authentication service. The string must contain `%s` which will be replaced with the dataset name, e.g. \"https://huggingface.co/api/datasets/%s/auth-check\". The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. Defaults to empty, in which case the authentication is disabled.\ndiff --git a/services/api/poetry.lock b/services/api/poetry.lock\nindex 5805e705..b3a999b6 100644\n--- a/services/api/poetry.lock\n+++ b/services/api/poetry.lock\n@@ -991,0 +992,15 @@ requests = \">=2.0.1,<3.0.0\"\n+[[package]]\n+name = \"responses\"\n+version = \"0.21.0\"\n+description = \"A utility library for mocking out the `requests` Python library.\"\n+category = \"dev\"\n+optional = false\n+python-versions = \">=3.7\"\n+\n+[package.dependencies]\n+requests = \">=2.0,<3.0\"\n+urllib3 = \">=1.25.10\"\n+\n+[package.extras]\n+tests = [\"pytest (>=7.0.0)\", \"coverage (>=6.0.0)\", \"pytest-cov\", \"pytest-asyncio\", \"pytest-localserver\", \"flake8\", \"types-mock\", \"types-requests\", \"mypy\"]\n+\n@@ -1200 +1215 @@ python-versions = \"3.9.6\"\n-content-hash = \"6b89be56d2d74637a2198ac9bb6f56d4428b5b7fb3f23786dec8a60e5676b2fa\"\n+content-hash = \"6a11079f50641f701c329bbaffd41c978db7594c7ee2ce690549b0aa8a648e74\"\n@@ -1946,0 +1962 @@ requests-toolbelt = [\n+responses = []\ndiff --git a/services/api/pyproject.toml b/services/api/pyproject.toml\nindex 2c29522c..8049e0c9 100644\n--- a/services/api/pyproject.toml\n+++ b/services/api/pyproject.toml\n@@ -27,0 +28 @@ pytest-cov = \"^2.12.1\"\n+responses = \"^0.21.0\"\ndiff --git a/services/api/src/api/app.py b/services/api/src/api/app.py\nindex 1895ad86..6bf3de54 100644\n--- a/services/api/src/api/app.py\n+++ b/services/api/src/api/app.py\n@@ -19,0 +20 @@ from api.config import (\n+ EXTERNAL_AUTH_URL,\n@@ -26 +27 @@ from api.prometheus import Prometheus\n-from api.routes.first_rows import first_rows_endpoint\n+from api.routes.first_rows import create_first_rows_endpoint\n@@ -30,2 +31,2 @@ from api.routes.splits import splits_endpoint\n-from api.routes.splits_next import splits_endpoint_next\n-from api.routes.valid import is_valid_endpoint, valid_datasets_endpoint\n+from api.routes.splits_next import create_splits_next_endpoint\n+from api.routes.valid import create_is_valid_endpoint, valid_datasets_endpoint\n@@ -46,2 +47,4 @@ def create_app() -> Starlette:\n- Route(\"/first-rows\", endpoint=first_rows_endpoint),\n- Route(\"/splits-next\", endpoint=splits_endpoint_next),\n+ Route(\"/is-valid\", endpoint=create_is_valid_endpoint(EXTERNAL_AUTH_URL)),\n+ # ^ called by https://github.com/huggingface/model-evaluator\n+ Route(\"/first-rows\", endpoint=create_first_rows_endpoint(EXTERNAL_AUTH_URL)),\n+ Route(\"/splits-next\", endpoint=create_splits_next_endpoint(EXTERNAL_AUTH_URL)),\n@@ -53,4 +55,0 @@ def create_app() -> Starlette:\n- to_document: List[BaseRoute] = [\n- # called by https://github.com/huggingface/model-evaluator\n- Route(\"/is-valid\", endpoint=is_valid_endpoint),\n- ]\n@@ -67 +66 @@ def create_app() -> Starlette:\n- routes: List[BaseRoute] = documented + to_deprecate + to_document + to_protect + for_development_only\n+ routes: List[BaseRoute] = documented + to_deprecate + to_protect + for_development_only\ndiff --git a/services/api/src/api/authentication.py b/services/api/src/api/authentication.py\nnew file mode 100644\nindex 00000000..830a4891\n--- /dev/null\n+++ b/services/api/src/api/authentication.py\n@@ -0,0 +1,71 @@\n+from typing import Literal, Optional\n+\n+import requests\n+from requests import PreparedRequest\n+from requests.auth import AuthBase\n+from starlette.requests import Request\n+\n+from api.utils import ExternalAuthenticatedError, ExternalUnauthenticatedError\n+\n+\n+class RequestAuth(AuthBase):\n+ \"\"\"Attaches input Request authentication headers to the given Request object.\"\"\"\n+\n+ def __init__(self, request: Optional[Request]) -> None:\n+ if request is not None:\n+ self.cookie = request.headers.get(\"cookie\")\n+ self.authorization = request.headers.get(\"authorization\")\n+ else:\n+ self.cookie = None\n+ self.authorization = None\n+\n+ def __call__(self, r: PreparedRequest) -> PreparedRequest:\n+ # modify and return the request\n+ if self.cookie:\n+ r.headers[\"cookie\"] = self.cookie\n+ if self.authorization:\n+ r.headers[\"authorization\"] = self.authorization\n+ return r\n+\n+\n+def auth_check(\n+ dataset: str, external_auth_url: Optional[str] = None, request: Optional[Request] = None\n+) -> Literal[True]:\n+ \"\"\"check if the dataset is authorized for the request\n+\n+ Args:\n+ dataset (str): the dataset name\n+ external_auth_url (str|None): the URL of an external authentication service. The URL must contain `%s`,\n+ which will be replaced with the dataset name, for example: https://huggingface.co/api/datasets/%s/auth-check\n+ The authentication service must follow the specification in\n+ https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403.\n+ If None, the dataset is always authorized.\n+ request (Request | None): the request which optionally bears authentication headers: \"cookie\" or\n+ \"authorization\"\n+\n+ Returns:\n+ None: the dataset is authorized for the request\n+ \"\"\"\n+ if external_auth_url is None:\n+ return True\n+ try:\n+ url = external_auth_url % dataset\n+ except TypeError as e:\n+ raise ValueError(\"external_auth_url must contain %s\") from e\n+ try:\n+ response = requests.get(url, auth=RequestAuth(request))\n+ except Exception as err:\n+ raise RuntimeError(\"External authentication check failed\", err) from err\n+ if response.status_code == 200:\n+ return True\n+ elif response.status_code == 401:\n+ raise ExternalUnauthenticatedError(\n+ \"The dataset does not exist, or is not accessible without authentication (private or gated). Please retry\"\n+ \" with authentication.\"\n+ )\n+ elif response.status_code == 403:\n+ raise ExternalAuthenticatedError(\n+ \"The dataset does not exist, or is not accessible with the current credentials (private or gated).\"\n+ )\n+ else:\n+ raise ValueError(f\"Unexpected status code {response.status_code}\")\ndiff --git a/services/api/src/api/config.py b/services/api/src/api/config.py\nindex dbc93d3b..f1351513 100644\n--- a/services/api/src/api/config.py\n+++ b/services/api/src/api/config.py\n@@ -10,0 +11 @@ from api.constants import (\n+ DEFAULT_EXTERNAL_AUTH_URL,\n@@ -25,0 +27 @@ ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key=\"ASSETS_DIRECTORY\", d\n+EXTERNAL_AUTH_URL = get_str_or_none_value(d=os.environ, key=\"EXTERNAL_AUTH_URL\", default=DEFAULT_EXTERNAL_AUTH_URL)\ndiff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py\nindex f01c0d42..f295a6ae 100644\n--- a/services/api/src/api/constants.py\n+++ b/services/api/src/api/constants.py\n@@ -5,0 +6 @@ DEFAULT_DATASETS_ENABLE_PRIVATE: bool = False\n+DEFAULT_EXTERNAL_AUTH_URL: None = None\ndiff --git a/services/api/src/api/routes/first_rows.py b/services/api/src/api/routes/first_rows.py\nindex 8400285f..b13497d3 100644\n--- a/services/api/src/api/routes/first_rows.py\n+++ b/services/api/src/api/routes/first_rows.py\n@@ -2,0 +3 @@ from http import HTTPStatus\n+from typing import Optional\n@@ -8,0 +10 @@ from starlette.responses import Response\n+from api.authentication import auth_check\n@@ -10,0 +13 @@ from api.utils import (\n+ Endpoint,\n@@ -24,9 +27,2 @@ logger = logging.getLogger(__name__)\n-async def first_rows_endpoint(request: Request) -> Response:\n- try:\n- dataset_name = request.query_params.get(\"dataset\")\n- config_name = request.query_params.get(\"config\")\n- split_name = request.query_params.get(\"split\")\n- logger.info(f\"/rows, dataset={dataset_name}, config={config_name}, split={split_name}\")\n-\n- if not are_valid_parameters([dataset_name, config_name, split_name]):\n- raise MissingRequiredParameterError(\"Parameters 'dataset', 'config' and 'split' are required\")\n+def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpoint:\n+ async def first_rows_endpoint(request: Request) -> Response:\n@@ -34,16 +30,28 @@ async def first_rows_endpoint(request: Request) -> Response:\n- response, http_status, error_code = get_first_rows_response(dataset_name, config_name, split_name)\n- if http_status == HTTPStatus.OK:\n- return get_json_ok_response(response)\n- else:\n- return get_json_error_response(response, http_status, error_code)\n- except DoesNotExist as e:\n- if is_first_rows_response_in_process(dataset_name, config_name, split_name):\n- raise FirstRowsResponseNotReadyError(\n- \"The list of the first rows is not ready yet. Please retry later.\"\n- ) from e\n- else:\n- raise FirstRowsResponseNotFoundError(\"Not found.\") from e\n- except ApiCustomError as e:\n- return get_json_api_error_response(e)\n- except Exception:\n- return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\n+ dataset_name = request.query_params.get(\"dataset\")\n+ config_name = request.query_params.get(\"config\")\n+ split_name = request.query_params.get(\"split\")\n+ logger.info(f\"/rows, dataset={dataset_name}, config={config_name}, split={split_name}\")\n+\n+ if not are_valid_parameters([dataset_name, config_name, split_name]):\n+ raise MissingRequiredParameterError(\"Parameters 'dataset', 'config' and 'split' are required\")\n+ # if auth_check fails, it will raise an exception that will be caught below\n+ auth_check(dataset_name, external_auth_url=external_auth_url, request=request)\n+ try:\n+ response, http_status, error_code = get_first_rows_response(dataset_name, config_name, split_name)\n+ if http_status == HTTPStatus.OK:\n+ return get_json_ok_response(response)\n+ else:\n+ return get_json_error_response(response, http_status, error_code)\n+ except DoesNotExist as e:\n+ if is_first_rows_response_in_process(dataset_name, config_name, split_name):\n+ raise FirstRowsResponseNotReadyError(\n+ \"The list of the first rows is not ready yet. Please retry later.\"\n+ ) from e\n+ else:\n+ raise FirstRowsResponseNotFoundError(\"Not found.\") from e\n+ except ApiCustomError as e:\n+ return get_json_api_error_response(e)\n+ except Exception as e:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\", e))\n+\n+ return first_rows_endpoint\ndiff --git a/services/api/src/api/routes/splits_next.py b/services/api/src/api/routes/splits_next.py\nindex e3cb5c26..1268ed71 100644\n--- a/services/api/src/api/routes/splits_next.py\n+++ b/services/api/src/api/routes/splits_next.py\n@@ -2,0 +3 @@ from http import HTTPStatus\n+from typing import Optional\n@@ -8,0 +10 @@ from starlette.responses import Response\n+from api.authentication import auth_check\n@@ -10,0 +13 @@ from api.utils import (\n+ Endpoint,\n@@ -24,7 +27,2 @@ logger = logging.getLogger(__name__)\n-async def splits_endpoint_next(request: Request) -> Response:\n- try:\n- dataset_name = request.query_params.get(\"dataset\")\n- logger.info(f\"/splits-next, dataset={dataset_name}\")\n-\n- if not are_valid_parameters([dataset_name]):\n- raise MissingRequiredParameterError(\"Parameter 'dataset' is required\")\n+def create_splits_next_endpoint(external_auth_url: Optional[str] = None) -> Endpoint:\n+ async def splits_next_endpoint(request: Request) -> Response:\n@@ -32,14 +30,26 @@ async def splits_endpoint_next(request: Request) -> Response:\n- response, http_status, error_code = get_splits_response(dataset_name)\n- if http_status == HTTPStatus.OK:\n- return get_json_ok_response(response)\n- else:\n- return get_json_error_response(response, http_status, error_code)\n- except DoesNotExist as e:\n- if is_splits_response_in_process(dataset_name):\n- raise SplitsResponseNotReadyError(\"The list of splits is not ready yet. Please retry later.\") from e\n- else:\n- raise SplitsResponseNotFoundError(\"Not found.\") from e\n- except ApiCustomError as e:\n- return get_json_api_error_response(e)\n- except Exception:\n- return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\n+ dataset_name = request.query_params.get(\"dataset\")\n+ logger.info(f\"/splits-next, dataset={dataset_name}\")\n+\n+ if not are_valid_parameters([dataset_name]):\n+ raise MissingRequiredParameterError(\"Parameter 'dataset' is required\")\n+ # if auth_check fails, it will raise an exception that will be caught below\n+ auth_check(dataset_name, external_auth_url=external_auth_url, request=request)\n+ try:\n+ response, http_status, error_code = get_splits_response(dataset_name)\n+ if http_status == HTTPStatus.OK:\n+ return get_json_ok_response(response)\n+ else:\n+ return get_json_error_response(response, http_status, error_code)\n+ except DoesNotExist as e:\n+ if is_splits_response_in_process(dataset_name):\n+ raise SplitsResponseNotReadyError(\n+ \"The list of splits is not ready yet. Please retry later.\"\n+ ) from e\n+ else:\n+ raise SplitsResponseNotFoundError(\"Not found.\") from e\n+ except ApiCustomError as e:\n+ return get_json_api_error_response(e)\n+ except Exception as err:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\", err))\n+\n+ return splits_next_endpoint\ndiff --git a/services/api/src/api/routes/valid.py b/services/api/src/api/routes/valid.py\nindex 8353a185..5529eada 100644\n--- a/services/api/src/api/routes/valid.py\n+++ b/services/api/src/api/routes/valid.py\n@@ -2,0 +3 @@ import time\n+from typing import Optional\n@@ -10,0 +12 @@ from starlette.responses import Response\n+from api.authentication import auth_check\n@@ -12,0 +15 @@ from api.utils import (\n+ Endpoint,\n@@ -35,14 +38,19 @@ async def valid_datasets_endpoint(_: Request) -> Response:\n-async def is_valid_endpoint(request: Request) -> Response:\n- try:\n- dataset_name = request.query_params.get(\"dataset\")\n- logger.info(f\"/is-valid, dataset={dataset_name}\")\n- if not are_valid_parameters([dataset_name]):\n- raise MissingRequiredParameterError(\"Parameter 'dataset' is required\")\n- content = {\n- \"valid\": is_dataset_name_valid_or_stale(dataset_name),\n- }\n- return get_json_ok_response(content)\n- except ApiCustomError as e:\n- return get_json_api_error_response(e)\n- except Exception:\n- return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\n+def create_is_valid_endpoint(external_auth_url: Optional[str] = None) -> Endpoint:\n+ async def is_valid_endpoint(request: Request) -> Response:\n+ try:\n+ dataset_name = request.query_params.get(\"dataset\")\n+ logger.info(f\"/is-valid, dataset={dataset_name}\")\n+ if not are_valid_parameters([dataset_name]):\n+ raise MissingRequiredParameterError(\"Parameter 'dataset' is required\")\n+ # if auth_check fails, it will raise an exception that will be caught below\n+ auth_check(dataset_name, external_auth_url=external_auth_url, request=request)\n+ content = {\n+ \"valid\": is_dataset_name_valid_or_stale(dataset_name),\n+ }\n+ return get_json_ok_response(content)\n+ except ApiCustomError as e:\n+ return get_json_api_error_response(e)\n+ except Exception:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\n+\n+ return is_valid_endpoint\ndiff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py\nindex 598928c2..c33ee8f0 100644\n--- a/services/api/src/api/utils.py\n+++ b/services/api/src/api/utils.py\n@@ -2 +2 @@ from http import HTTPStatus\n-from typing import Any, List, Literal, Optional\n+from typing import Any, Callable, Coroutine, List, Literal, Optional\n@@ -5,0 +6 @@ from libutils.utils import orjson_dumps\n+from starlette.requests import Request\n@@ -16,0 +18,3 @@ ApiErrorCode = Literal[\n+ \"ExternalUnauthenticatedError\",\n+ \"ExternalAuthenticatedError\",\n+ \"ExternalAuthCheckResponseError\",\n@@ -31,0 +36 @@ class ApiCustomError(CustomError):\n+ # TODO: log the error and the cause\n@@ -70 +75,18 @@ class UnexpectedError(ApiCustomError):\n- \"\"\"Raised when the response for the split has not been found.\"\"\"\n+ \"\"\"Raised when the server raised an unexpected error.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"UnexpectedError\", cause)\n+\n+\n+class ExternalUnauthenticatedError(ApiCustomError):\n+ \"\"\"Raised when the external authentication check failed while the user was unauthenticated.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.UNAUTHORIZED, \"ExternalUnauthenticatedError\")\n+\n+\n+class ExternalAuthenticatedError(ApiCustomError):\n+ \"\"\"Raised when the external authentication check failed while the user was authenticated.\n+\n+ Even if the external authentication server returns 403 in that case, we return 404 because\n+ we don't know if the dataset exist or not. It's also coherent with how the Hugging Face Hub works.\"\"\"\n@@ -73 +95 @@ class UnexpectedError(ApiCustomError):\n- super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"UnexpectedError\")\n+ super().__init__(message, HTTPStatus.NOT_FOUND, \"ExternalAuthenticatedError\")\n@@ -114,0 +137,3 @@ def are_valid_parameters(parameters: List[Any]) -> bool:\n+\n+\n+Endpoint = Callable[[Request], Coroutine[Any, Any, Response]]\ndiff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py\nnew file mode 100644\nindex 00000000..dbbfaf6a\n--- /dev/null\n+++ b/services/api/tests/conftest.py\n@@ -0,0 +1,3 @@\n+import os\n+\n+os.environ[\"EXTERNAL_AUTH_URL\"] = \"https://auth.check/%s\"\ndiff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py\nindex b8f536c1..37c9e178 100644\n--- a/services/api/tests/test_app.py\n+++ b/services/api/tests/test_app.py\n@@ -1,0 +2 @@ from http import HTTPStatus\n+from typing import Dict, Optional\n@@ -3,0 +5 @@ import pytest\n+import responses\n@@ -27 +29,3 @@ from api.app import create_app\n-from api.config import MONGO_QUEUE_DATABASE\n+from api.config import EXTERNAL_AUTH_URL, MONGO_QUEUE_DATABASE\n+\n+from .utils import request_callback\n@@ -75,0 +80 @@ def test_get_valid_datasets(client: TestClient) -> None:\n+@responses.activate\n@@ -80 +85,3 @@ def test_get_is_valid(client: TestClient) -> None:\n- response = client.get(\"/is-valid\", params={\"dataset\": \"doesnotexist\"})\n+ dataset = \"doesnotexist\"\n+ responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ response = client.get(\"/is-valid\", params={\"dataset\": dataset})\n@@ -104,0 +112,20 @@ def test_get_is_valid(client: TestClient) -> None:\n+# the logic below is just to check the cookie and authorization headers are managed correctly\n+@pytest.mark.parametrize(\n+ \"headers,status_code,error_code\",\n+ [\n+ ({\"Cookie\": \"some cookie\"}, 401, \"ExternalUnauthenticatedError\"),\n+ ({\"Authorization\": \"Bearer invalid\"}, 404, \"ExternalAuthenticatedError\"),\n+ ({}, 200, None),\n+ ],\n+)\n+@responses.activate\n+def test_is_valid_auth(\n+ client: TestClient, headers: Dict[str, str], status_code: int, error_code: Optional[str]\n+) -> None:\n+ dataset = \"dataset-which-does-not-exist\"\n+ responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ response = client.get(f\"/is-valid?dataset={dataset}\", headers=headers)\n+ assert response.status_code == status_code\n+ assert response.headers.get(\"X-Error-Code\") == error_code\n+\n+\n@@ -158,0 +186,18 @@ def test_get_splits_next(client: TestClient) -> None:\n+# the logic below is just to check the cookie and authorization headers are managed correctly\n+@pytest.mark.parametrize(\n+ \"headers,status_code,error_code\",\n+ [\n+ ({\"Cookie\": \"some cookie\"}, 401, \"ExternalUnauthenticatedError\"),\n+ ({\"Authorization\": \"Bearer invalid\"}, 404, \"ExternalAuthenticatedError\"),\n+ ({}, 404, \"SplitsResponseNotFound\"),\n+ ],\n+)\n+@responses.activate\n+def test_splits_next_auth(client: TestClient, headers: Dict[str, str], status_code: int, error_code: str) -> None:\n+ dataset = \"dataset-which-does-not-exist\"\n+ responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+ response = client.get(f\"/splits-next?dataset={dataset}\", headers=headers)\n+ assert response.status_code == status_code\n+ assert response.headers.get(\"X-Error-Code\") == error_code\n+\n+\n@@ -280,0 +326 @@ def test_split_cache_refreshing(client: TestClient) -> None:\n+@responses.activate\n@@ -282,0 +329,2 @@ def test_splits_cache_refreshing(client: TestClient) -> None:\n+ responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+\n@@ -296,0 +345 @@ def test_splits_cache_refreshing(client: TestClient) -> None:\n+@responses.activate\n@@ -300,0 +350,2 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None:\n+ responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or \"%s\") % dataset, callback=request_callback)\n+\ndiff --git a/services/api/tests/test_authentication.py b/services/api/tests/test_authentication.py\nnew file mode 100644\nindex 00000000..535ed9b9\n--- /dev/null\n+++ b/services/api/tests/test_authentication.py\n@@ -0,0 +1,91 @@\n+from typing import Dict\n+\n+import pytest\n+import responses\n+from starlette.requests import Headers, Request\n+\n+from api.authentication import auth_check\n+from api.utils import ExternalAuthenticatedError, ExternalUnauthenticatedError\n+\n+from .utils import request_callback\n+\n+\n+def test_no_auth_check() -> None:\n+ assert auth_check(\"dataset\") is True\n+\n+\n+def test_invalid_auth_check_url() -> None:\n+ with pytest.raises(ValueError):\n+ auth_check(\"dataset\", external_auth_url=\"https://auth.check/\")\n+\n+\n+@responses.activate\n+def test_unreachable_external_auth_check_service() -> None:\n+ with pytest.raises(RuntimeError):\n+ auth_check(\"dataset\", external_auth_url=\"https://auth.check/%s\")\n+\n+\n+@responses.activate\n+def test_external_auth_responses_without_request() -> None:\n+ dataset = \"dataset\"\n+ url = \"https://auth.check/%s\"\n+ responses.add(responses.GET, url % dataset, status=200)\n+ assert auth_check(dataset, external_auth_url=url) is True\n+\n+ responses.add(responses.GET, url % dataset, status=401)\n+ with pytest.raises(ExternalUnauthenticatedError):\n+ auth_check(dataset, external_auth_url=url)\n+\n+ responses.add(responses.GET, url % dataset, status=403)\n+ with pytest.raises(ExternalAuthenticatedError):\n+ auth_check(dataset, external_auth_url=url)\n+\n+ responses.add(responses.GET, url % dataset, status=404)\n+ with pytest.raises(ValueError):\n+ auth_check(dataset, external_auth_url=url)\n+\n+\n+def create_request(headers: Dict[str, str]) -> Request:\n+ return Request(\n+ {\n+ \"type\": \"http\",\n+ \"path\": \"/some-path\",\n+ \"headers\": Headers(headers).raw,\n+ \"http_version\": \"1.1\",\n+ \"method\": \"GET\",\n+ \"scheme\": \"https\",\n+ \"client\": (\"127.0.0.1\", 8080),\n+ \"server\": (\"some.server\", 443),\n+ }\n+ )\n+\n+\n+@responses.activate\n+def test_valid_responses_with_request() -> None:\n+ dataset = \"dataset\"\n+ url = \"https://auth.check/%s\"\n+\n+ responses.add_callback(responses.GET, url % dataset, callback=request_callback)\n+\n+ with pytest.raises(ExternalUnauthenticatedError):\n+ auth_check(\n+ dataset,\n+ external_auth_url=url,\n+ request=create_request(headers={\"cookie\": \"some cookie\"}),\n+ )\n+\n+ with pytest.raises(ExternalAuthenticatedError):\n+ auth_check(\n+ dataset,\n+ external_auth_url=url,\n+ request=create_request(headers={\"authorization\": \"Bearer token\"}),\n+ )\n+\n+ assert (\n+ auth_check(\n+ dataset,\n+ external_auth_url=url,\n+ request=create_request(headers={}),\n+ )\n+ is True\n+ )\ndiff --git a/services/api/tests/utils.py b/services/api/tests/utils.py\nnew file mode 100644\nindex 00000000..3c2b18cb\n--- /dev/null\n+++ b/services/api/tests/utils.py\n@@ -0,0 +1,16 @@\n+from typing import Mapping, Tuple, Union\n+\n+from requests import PreparedRequest\n+from responses import _Body\n+\n+\n+def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Mapping[str, str], _Body]]:\n+ # return 401 if a cookie has been provided, 403 if a token has been provided,\n+ # and 401 if none has been provided\n+ # there is no logic behind this behavior, it's just to test if the cookie and\n+ # token are correctly passed to the auth_check service\n+ if request.headers.get(\"cookie\"):\n+ return (401, {\"Content-Type\": \"text/plain\"}, \"OK\")\n+ if request.headers.get(\"authorization\"):\n+ return (403, {\"Content-Type\": \"text/plain\"}, \"OK\")\n+ return (200, {\"Content-Type\": \"text/plain\"}, \"OK\")\ndiff --git a/services/worker/Makefile b/services/worker/Makefile\nindex 075bfeeb..aae0dd9d 100644\n--- a/services/worker/Makefile\n+++ b/services/worker/Makefile\n@@ -11 +11,2 @@ PILLOW_EXCEPTIONS := -i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487\n-SAFETY_EXCEPTIONS := $(PILLOW_EXCEPTIONS)\n+UJSON_EXCEPTIONS := -i 49754 -i 49755\n+SAFETY_EXCEPTIONS := $(PILLOW_EXCEPTIONS) $(UJSON_EXCEPTIONS)\ndiff --git a/services/worker/poetry.lock b/services/worker/poetry.lock\nindex f68ec384..7b83a692 100644\n--- a/services/worker/poetry.lock\n+++ b/services/worker/poetry.lock\n@@ -614 +614 @@ name = \"fsspec\"\n-version = \"2022.5.0\"\n+version = \"2022.7.1\"\n@@ -3163,4 +3163 @@ frozenlist = [\n-fsspec = [\n- {file = \"fsspec-2022.5.0-py3-none-any.whl\", hash = \"sha256:2c198c50eb541a80bbd03540b07602c4a957366f3fb416a1f270d34bd4ff0926\"},\n- {file = \"fsspec-2022.5.0.tar.gz\", hash = \"sha256:7a5459c75c44e760fbe6a3ccb1f37e81e023cde7da8ba20401258d877ec483b4\"},\n-]\n+fsspec = []\ndiff --git a/tools/Python.mk b/tools/Python.mk\nindex 97a0c86e..f606049a 100644\n--- a/tools/Python.mk\n+++ b/tools/Python.mk\n@@ -46,2 +46,2 @@ test:\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n+\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up\n@@ -49 +49 @@ test:\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n@@ -53,2 +53,2 @@ coverage:\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n+\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up\n@@ -56 +56 @@ coverage:\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\n+\tCOMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down\ndiff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml\nindex 62ecad1a..36494020 100644\n--- a/tools/docker-compose-datasets-server-from-local-code.yml\n+++ b/tools/docker-compose-datasets-server-from-local-code.yml\n@@ -35,0 +36 @@ services:\n+ EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL}\ndiff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml\nindex 882da3bb..9eafb7b6 100644\n--- a/tools/docker-compose-datasets-server-from-remote-images.yml\n+++ b/tools/docker-compose-datasets-server-from-remote-images.yml\n@@ -32,0 +33 @@ services:\n+ EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL-\"\"}"}}},{"rowIdx":1676,"cells":{"hash":{"kind":"string","value":"b1bfabf92d0e16fa52d39bcf75a2794ee91e37d7"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-03T21:42:51","string":"2022-08-03T21:42:51"},"subject":{"kind":"string","value":"Allow multiple uvicorn workers (#497)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 590f3fb6..e6c4fe3b 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-9925506\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f8179b9\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-645ac01\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-1f51ac9\",\ndiff --git a/chart/env/prod.yaml b/chart/env/prod.yaml\nindex 134c1964..1c4409bf 100644\n--- a/chart/env/prod.yaml\n+++ b/chart/env/prod.yaml\n@@ -91 +91 @@ api:\n- cpu: 1\n+ cpu: 4\n@@ -94,2 +94,2 @@ api:\n- cpu: 1\n- memory: \"1Gi\"\n+ cpu: 4\n+ memory: \"4Gi\"\n@@ -97 +97,4 @@ api:\n- appNumWorkers: \"1\"\n+ # Number of uvicorn workers for running the application\n+ # (2 x $num_cores) + 1\n+ # https://docs.gunicorn.org/en/stable/design.html#how-many-workers\n+ appNumWorkers: 9\n@@ -182 +185,2 @@ admin:\n- cpu: 1\n+ cpu: 4\n+ memory: \"512Mi\"\n@@ -184 +188,3 @@ admin:\n- cpu: 1\n+ cpu: 4\n+ memory: \"4Gi\"\n+\n@@ -186 +192,4 @@ admin:\n- appNumWorkers: \"1\"\n+ # Number of uvicorn workers for running the application\n+ # (2 x $num_cores) + 1\n+ # https://docs.gunicorn.org/en/stable/design.html#how-many-workers\n+ appNumWorkers: 9\ndiff --git a/chart/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl\nindex c378d31e..f8dfad76 100644\n--- a/chart/templates/admin/_container.tpl\n+++ b/chart/templates/admin/_container.tpl\n@@ -31,0 +32,2 @@\n+ - name: PROMETHEUS_MULTIPROC_DIR\n+ value: {{ .Values.admin.prometheusMultiprocDirectory | quote }}\ndiff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl\nindex 1c551afe..c316704e 100644\n--- a/chart/templates/api/_container.tpl\n+++ b/chart/templates/api/_container.tpl\n@@ -31,0 +32,2 @@\n+ - name: PROMETHEUS_MULTIPROC_DIR\n+ value: {{ .Values.api.prometheusMultiprocDirectory | quote }}\ndiff --git a/chart/values.yaml b/chart/values.yaml\nindex 5e8972ff..25ff4445 100644\n--- a/chart/values.yaml\n+++ b/chart/values.yaml\n@@ -98,0 +99,3 @@ api:\n+ # Directory where the uvicorn workers will write the prometheus metrics\n+ # see https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn\n+ prometheusMultiprocDirectory: \"/tmp\"\n@@ -301,0 +305,3 @@ admin:\n+ # Directory where the uvicorn workers share their prometheus metrics\n+ # see https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn\n+ prometheusMultiprocDirectory: \"/tmp\"\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex 2c94342f..48a75a8b 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -25,0 +26 @@ Set environment variables to configure the following aspects:\n+- `PROMETHEUS_MULTIPROC_DIR`: the directory where the uvicorn workers share their prometheus metrics. See https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn. Defaults to empty, in which case every worker manages its own metrics, and the /metrics endpoint returns the metrics of a random worker.\ndiff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py\nindex df84b0f1..1649b001 100644\n--- a/services/admin/src/admin/prometheus.py\n+++ b/services/admin/src/admin/prometheus.py\n@@ -37 +37 @@ class Prometheus:\n- if \"prometheus_multiproc_dir\" in os.environ:\n+ if \"PROMETHEUS_MULTIPROC_DIR\" in os.environ:\ndiff --git a/services/api/README.md b/services/api/README.md\nindex e8656d64..fd0e73cc 100644\n--- a/services/api/README.md\n+++ b/services/api/README.md\n@@ -28,0 +29 @@ Set environment variables to configure the following aspects:\n+- `PROMETHEUS_MULTIPROC_DIR`: the directory where the uvicorn workers share their prometheus metrics. See https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn. Defaults to empty, in which case every worker manages its own metrics, and the /metrics endpoint returns the metrics of a random worker.\ndiff --git a/services/api/src/api/prometheus.py b/services/api/src/api/prometheus.py\nindex 29e5a342..8de107e8 100644\n--- a/services/api/src/api/prometheus.py\n+++ b/services/api/src/api/prometheus.py\n@@ -19 +19 @@ class Prometheus:\n- if \"prometheus_multiproc_dir\" in os.environ:\n+ if \"PROMETHEUS_MULTIPROC_DIR\" in os.environ:"}}},{"rowIdx":1677,"cells":{"hash":{"kind":"string","value":"9b4065c923965c2f56e537801b51b0b0e84ff29c"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-02T17:17:50","string":"2022-08-02T17:17:50"},"subject":{"kind":"string","value":"fix: 🐛 endpoint is reserved in prometheus (#494)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 8354684e..590f3fb6 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e57c833\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-9925506\",\ndiff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py\nindex 821477be..df84b0f1 100644\n--- a/services/admin/src/admin/prometheus.py\n+++ b/services/admin/src/admin/prometheus.py\n@@ -52,2 +52,2 @@ class Prometheus:\n- self.metrics[\"cached_responses_total\"] = Gauge(\n- \"cached_responses_total\",\n+ self.metrics[\"responses_in_cache_total\"] = Gauge(\n+ \"responses_in_cache_total\",\n@@ -55 +55 @@ class Prometheus:\n- [\"endpoint\", \"http_status\", \"error_code\"],\n+ [\"path\", \"http_status\", \"error_code\"],\n@@ -73,2 +73,2 @@ class Prometheus:\n- self.metrics[\"cached_responses_total\"].labels(\n- endpoint=\"/splits\", http_status=http_status, error_code=error_code\n+ self.metrics[\"responses_in_cache_total\"].labels(\n+ path=\"/splits\", http_status=http_status, error_code=error_code\n@@ -78,2 +78,2 @@ class Prometheus:\n- self.metrics[\"cached_responses_total\"].labels(\n- endpoint=\"/first-rows\", http_status=http_status, error_code=error_code\n+ self.metrics[\"responses_in_cache_total\"].labels(\n+ path=\"/first-rows\", http_status=http_status, error_code=error_code\ndiff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py\nindex 945ce100..0263ca87 100644\n--- a/services/admin/tests/test_app.py\n+++ b/services/admin/tests/test_app.py\n@@ -54 +54 @@ def test_metrics(client: TestClient) -> None:\n- assert 'cached_responses_total{endpoint=\"/splits\",http_status=\"200\",error_code=null}' not in metrics\n+ assert 'responses_in_cache_total{path=\"/splits\",http_status=\"200\",error_code=null}' not in metrics\n@@ -56 +56 @@ def test_metrics(client: TestClient) -> None:\n- assert 'cached_responses_total{endpoint=\"/first-rows\",http_status=\"200\",error_code=null}' not in metrics\n+ assert 'responses_in_cache_total{path=\"/first-rows\",http_status=\"200\",error_code=null}' not in metrics"}}},{"rowIdx":1678,"cells":{"hash":{"kind":"string","value":"1aeb7744c219b4aef19b01280ae57ad15fecbe6a"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-01T19:58:47","string":"2022-08-01T19:58:47"},"subject":{"kind":"string","value":"Add error code to metrics (#492)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex c316144c..8354684e 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-51f3046\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e57c833\",\ndiff --git a/libs/libcache/dist/libcache-0.1.27-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.27-py3-none-any.whl\nnew file mode 100644\nindex 00000000..b5cac75f\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.27-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.27.tar.gz b/libs/libcache/dist/libcache-0.1.27.tar.gz\nnew file mode 100644\nindex 00000000..62e31860\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.27.tar.gz differ\ndiff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml\nindex 75a9cdd4..640c0fdd 100644\n--- a/libs/libcache/pyproject.toml\n+++ b/libs/libcache/pyproject.toml\n@@ -5 +5 @@ name = \"libcache\"\n-version = \"0.1.26\"\n+version = \"0.1.27\"\ndiff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py\nindex d5aa925d..1687a70a 100644\n--- a/libs/libcache/src/libcache/simple_cache.py\n+++ b/libs/libcache/src/libcache/simple_cache.py\n@@ -65 +65,7 @@ class SplitsResponse(Document):\n- \"indexes\": [\"dataset_name\", \"http_status\", \"stale\", \"error_code\"],\n+ \"indexes\": [\n+ \"dataset_name\",\n+ \"http_status\",\n+ \"stale\",\n+ (\"http_status\", \"error_code\"),\n+ (\"error_code\", \"http_status\"),\n+ ],\n@@ -91 +97,2 @@ class FirstRowsResponse(Document):\n- \"error_code\",\n+ (\"http_status\", \"error_code\"),\n+ (\"error_code\", \"http_status\"),\n@@ -216,2 +223 @@ def get_valid_dataset_names() -> List[str]:\n-\n-CountByHTTPStatus = Dict[str, int]\n+CountByHttpStatusAndErrorCode = Dict[str, Dict[Optional[str], int]]\n@@ -220,2 +226 @@ CountByHTTPStatus = Dict[str, int]\n-def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPStatus:\n- # return {http_status.name: entries(http_status=http_status).count() for http_status in HTTPStatus}\n+def get_entries_count_by_status_and_error_code(entries: QuerySet[AnyResponse]) -> CountByHttpStatusAndErrorCode:\n@@ -223 +228,4 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt\n- HTTPStatus(http_status).name: entries(http_status=http_status).count()\n+ str(http_status): {\n+ error_code: entries(http_status=http_status, error_code=error_code).count()\n+ for error_code in entries(http_status=http_status).distinct(\"error_code\")\n+ }\n@@ -228,17 +236,2 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt\n-def get_splits_responses_count_by_status() -> CountByHTTPStatus:\n- return get_entries_count_by_status(SplitsResponse.objects)\n-\n-\n-def get_first_rows_responses_count_by_status() -> CountByHTTPStatus:\n- return get_entries_count_by_status(FirstRowsResponse.objects)\n-\n-\n-CountByErrorCode = Dict[str, int]\n-\n-\n-def get_entries_count_by_error_code(entries: QuerySet[AnyResponse]) -> CountByErrorCode:\n- return {error_code: entries(error_code=error_code).count() for error_code in entries.distinct(\"error_code\")}\n-\n-\n-def get_splits_responses_count_by_error_code() -> CountByErrorCode:\n- return get_entries_count_by_error_code(SplitsResponse.objects)\n+def get_splits_responses_count_by_status_and_error_code() -> CountByHttpStatusAndErrorCode:\n+ return get_entries_count_by_status_and_error_code(SplitsResponse.objects)\n@@ -247,2 +240,2 @@ def get_splits_responses_count_by_error_code() -> CountByErrorCode:\n-def get_first_rows_responses_count_by_error_code() -> CountByErrorCode:\n- return get_entries_count_by_error_code(FirstRowsResponse.objects)\n+def get_first_rows_responses_count_by_status_and_error_code() -> CountByHttpStatusAndErrorCode:\n+ return get_entries_count_by_status_and_error_code(FirstRowsResponse.objects)\ndiff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py\nindex 38dd2239..47fc734a 100644\n--- a/libs/libcache/tests/test_simple_cache.py\n+++ b/libs/libcache/tests/test_simple_cache.py\n@@ -19 +19 @@ from libcache.simple_cache import (\n- get_first_rows_responses_count_by_status,\n+ get_first_rows_responses_count_by_status_and_error_code,\n@@ -21 +21 @@ from libcache.simple_cache import (\n- get_splits_responses_count_by_status,\n+ get_splits_responses_count_by_status_and_error_code,\n@@ -196,2 +196,2 @@ def test_valid() -> None:\n-def test_count_by_status() -> None:\n- assert \"OK\" not in get_splits_responses_count_by_status()\n+def test_count_by_status_and_error_code() -> None:\n+ assert \"OK\" not in get_splits_responses_count_by_status_and_error_code()\n@@ -200 +200 @@ def test_count_by_status() -> None:\n- \"test_dataset2\",\n+ \"test_dataset\",\n@@ -205,2 +205,2 @@ def test_count_by_status() -> None:\n- assert get_splits_responses_count_by_status()[\"OK\"] == 1\n- assert \"OK\" not in get_first_rows_responses_count_by_status()\n+ assert get_splits_responses_count_by_status_and_error_code() == {\"200\": {None: 1}}\n+ assert get_first_rows_responses_count_by_status_and_error_code() == {}\n@@ -218 +218,17 @@ def test_count_by_status() -> None:\n- assert get_splits_responses_count_by_status()[\"OK\"] == 1\n+ assert get_first_rows_responses_count_by_status_and_error_code() == {\"200\": {None: 1}}\n+\n+ upsert_first_rows_response(\n+ \"test_dataset\",\n+ \"test_config\",\n+ \"test_split2\",\n+ {\n+ \"key\": \"value\",\n+ },\n+ HTTPStatus.INTERNAL_SERVER_ERROR,\n+ error_code=\"error_code\",\n+ )\n+\n+ assert get_first_rows_responses_count_by_status_and_error_code() == {\n+ \"200\": {None: 1},\n+ \"500\": {\"error_code\": 1},\n+ }\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex 6047b718..6f32ca46 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -456 +456 @@ name = \"libcache\"\n-version = \"0.1.26\"\n+version = \"0.1.27\"\n@@ -470 +470 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.27-py3-none-any.whl\"\n@@ -1201 +1201 @@ python-versions = \"3.9.6\"\n-content-hash = \"260c0d8ad53786636993ddd761239852cde9672b2989a4389a68f186e01fef94\"\n+content-hash = \"50eec29af5cd07edda31342cf6e0621dfb3203a02cb522247f3aa2f20da5000f\"\n@@ -1471 +1471 @@ libcache = [\n- {file = \"libcache-0.1.26-py3-none-any.whl\", hash = \"sha256:bde90c71b4bb7e94aff415d2970cf9ccb5c5107e8661ee7bdb76d09a9881b901\"},\n+ {file = \"libcache-0.1.27-py3-none-any.whl\", hash = \"sha256:55207cdd76475dc3bd7d8f60b2d053b6101401ca4ad44570d74e40e7e240e607\"},\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex ef2a61f9..d59f61b7 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -9 +9 @@ huggingface-hub = \"^0.6.0\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.27-py3-none-any.whl\", develop = false }\ndiff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py\nindex 3b375e6e..821477be 100644\n--- a/services/admin/src/admin/prometheus.py\n+++ b/services/admin/src/admin/prometheus.py\n@@ -6,2 +6,2 @@ from libcache.simple_cache import (\n- get_first_rows_responses_count_by_status,\n- get_splits_responses_count_by_status,\n+ get_first_rows_responses_count_by_status_and_error_code,\n+ get_splits_responses_count_by_status_and_error_code,\n@@ -51,0 +52,5 @@ class Prometheus:\n+ self.metrics[\"cached_responses_total\"] = Gauge(\n+ \"cached_responses_total\",\n+ \"Number of cached responses in the cache\",\n+ [\"endpoint\", \"http_status\", \"error_code\"],\n+ )\n@@ -66,4 +71,10 @@ class Prometheus:\n- for status, total in get_splits_responses_count_by_status().items():\n- self.metrics[\"cache_entries_total\"].labels(cache=\"splits/\", status=status).set(total)\n- for status, total in get_first_rows_responses_count_by_status().items():\n- self.metrics[\"cache_entries_total\"].labels(cache=\"first-rows/\", status=status).set(total)\n+ for http_status, by_error_code in get_splits_responses_count_by_status_and_error_code().items():\n+ for error_code, total in by_error_code.items():\n+ self.metrics[\"cached_responses_total\"].labels(\n+ endpoint=\"/splits\", http_status=http_status, error_code=error_code\n+ ).set(total)\n+ for http_status, by_error_code in get_first_rows_responses_count_by_status_and_error_code().items():\n+ for error_code, total in by_error_code.items():\n+ self.metrics[\"cached_responses_total\"].labels(\n+ endpoint=\"/first-rows\", http_status=http_status, error_code=error_code\n+ ).set(total)\ndiff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py\nindex 843194c4..945ce100 100644\n--- a/services/admin/tests/test_app.py\n+++ b/services/admin/tests/test_app.py\n@@ -54 +54 @@ def test_metrics(client: TestClient) -> None:\n- assert 'cache_entries_total{cache=\"splits/\",status=\"BAD_REQUEST\"}' not in metrics\n+ assert 'cached_responses_total{endpoint=\"/splits\",http_status=\"200\",error_code=null}' not in metrics\n@@ -56 +56 @@ def test_metrics(client: TestClient) -> None:\n- assert 'cache_entries_total{cache=\"first-rows/\",status=\"INTERNAL_SERVER_ERROR\"}' not in metrics\n+ assert 'cached_responses_total{endpoint=\"/first-rows\",http_status=\"200\",error_code=null}' not in metrics"}}},{"rowIdx":1679,"cells":{"hash":{"kind":"string","value":"8e481c0c2326538366441ac7769f23d833c674a4"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-08-01T16:33:32","string":"2022-08-01T16:33:32"},"subject":{"kind":"string","value":"Optimize reports pagination (#490)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex b16f7143..c316144c 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ea0ed8d\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-51f3046\",\ndiff --git a/chart/env/prod.yaml b/chart/env/prod.yaml\nindex 564f58af..134c1964 100644\n--- a/chart/env/prod.yaml\n+++ b/chart/env/prod.yaml\n@@ -186,0 +187,2 @@ admin:\n+ # Number of reports in /cache-reports/... endpoints\n+ cacheReportsNumResults: 1000\ndiff --git a/chart/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl\nindex e1e639e8..c378d31e 100644\n--- a/chart/templates/admin/_container.tpl\n+++ b/chart/templates/admin/_container.tpl\n@@ -11,0 +12,2 @@\n+ - name: CACHE_REPORTS_NUM_RESULTS\n+ value: {{ .Values.admin.cacheReportsNumResults | quote }}\ndiff --git a/chart/values.yaml b/chart/values.yaml\nindex 1c2d7f86..5e8972ff 100644\n--- a/chart/values.yaml\n+++ b/chart/values.yaml\n@@ -295,0 +296,2 @@ admin:\n+ # Number of reports in /cache-reports/... endpoints\n+ cacheReportsNumResults: 100\ndiff --git a/libs/libcache/dist/libcache-0.1.26-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.26-py3-none-any.whl\nnew file mode 100644\nindex 00000000..eec362b7\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.26-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.26.tar.gz b/libs/libcache/dist/libcache-0.1.26.tar.gz\nnew file mode 100644\nindex 00000000..9de122cb\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.26.tar.gz differ\ndiff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml\nindex fa409d6d..75a9cdd4 100644\n--- a/libs/libcache/pyproject.toml\n+++ b/libs/libcache/pyproject.toml\n@@ -5 +5 @@ name = \"libcache\"\n-version = \"0.1.25\"\n+version = \"0.1.26\"\ndiff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py\nindex 972dba72..d5aa925d 100644\n--- a/libs/libcache/src/libcache/simple_cache.py\n+++ b/libs/libcache/src/libcache/simple_cache.py\n@@ -5 +5 @@ from http import HTTPStatus\n-from typing import Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVar, Union\n+from typing import Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVar\n@@ -269,12 +269 @@ def get_datasets_with_some_error() -> List[str]:\n-class _ErrorReport(TypedDict):\n- message: str\n-\n-\n-class ErrorReport(_ErrorReport, total=False):\n- error_code: str\n- cause_exception: str\n- cause_message: str\n- cause_traceback: List[str]\n-\n-\n-class _ResponseReport(TypedDict):\n+class SplitsResponseReport(TypedDict):\n@@ -283,4 +272 @@ class _ResponseReport(TypedDict):\n-\n-\n-class SplitsResponseReport(_ResponseReport, total=False):\n- error: Optional[ErrorReport]\n+ error_code: Optional[str]\n@@ -304,42 +289,0 @@ class CacheReportFirstRows(TypedDict):\n-def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[ErrorReport]:\n- details = object.details\n- if not details:\n- return None\n- if \"error\" not in details:\n- raise ValueError(\"Missing message in object details\")\n- report: ErrorReport = {\"message\": details[\"error\"]}\n- if \"cause_exception\" in details:\n- report[\"cause_exception\"] = details[\"cause_exception\"]\n- if \"cause_message\" in details:\n- report[\"cause_message\"] = details[\"cause_message\"]\n- if \"cause_traceback\" in details:\n- report[\"cause_traceback\"] = details[\"cause_traceback\"]\n- if object.error_code is not None:\n- report[\"error_code\"] = object.error_code\n- return report\n-\n-\n-def get_splits_next_report(object: SplitsResponse) -> SplitsResponseReport:\n- report: SplitsResponseReport = {\n- \"dataset\": object.dataset_name,\n- \"http_status\": object.http_status.value,\n- }\n- error = get_error(object)\n- if error is not None:\n- report[\"error\"] = error\n- return report\n-\n-\n-def get_first_rows_report(object: FirstRowsResponse) -> FirstRowsResponseReport:\n- report: FirstRowsResponseReport = {\n- \"dataset\": object.dataset_name,\n- \"config\": object.config_name,\n- \"split\": object.split_name,\n- \"http_status\": object.http_status.value,\n- }\n- error = get_error(object)\n- if error is not None:\n- report[\"error\"] = error\n- return report\n-\n-\n@@ -385,5 +329 @@ def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsN\n- objects = list(\n- queryset.order_by(\"+id\")\n- .only(\"id\", \"dataset_name\", \"http_status\", \"response\", \"details\", \"error_code\")\n- .limit(limit)\n- )\n+ objects = list(queryset.order_by(\"+id\").only(\"id\", \"dataset_name\", \"http_status\", \"error_code\").limit(limit))\n@@ -392 +332,8 @@ def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsN\n- \"cache_reports\": [get_splits_next_report(object) for object in objects],\n+ \"cache_reports\": [\n+ {\n+ \"dataset\": object.dataset_name,\n+ \"http_status\": object.http_status.value,\n+ \"error_code\": object.error_code,\n+ }\n+ for object in objects\n+ ],\n@@ -430 +377 @@ def get_cache_reports_first_rows(cursor: Optional[str], limit: int) -> CacheRepo\n- .only(\"id\", \"dataset_name\", \"config_name\", \"split_name\", \"http_status\", \"response\", \"details\", \"error_code\")\n+ .only(\"id\", \"dataset_name\", \"config_name\", \"split_name\", \"http_status\", \"error_code\")\n@@ -434 +381,10 @@ def get_cache_reports_first_rows(cursor: Optional[str], limit: int) -> CacheRepo\n- \"cache_reports\": [get_first_rows_report(object) for object in objects],\n+ \"cache_reports\": [\n+ {\n+ \"dataset\": object.dataset_name,\n+ \"config\": object.config_name,\n+ \"split\": object.split_name,\n+ \"http_status\": object.http_status.value,\n+ \"error_code\": object.error_code,\n+ }\n+ for object in objects\n+ ],\ndiff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py\nindex 844d95c7..38dd2239 100644\n--- a/libs/libcache/tests/test_simple_cache.py\n+++ b/libs/libcache/tests/test_simple_cache.py\n@@ -1,0 +2 @@ from http import HTTPStatus\n+from time import process_time\n@@ -257 +258 @@ def test_get_cache_reports_splits_next() -> None:\n- {\"dataset\": \"a\", \"http_status\": HTTPStatus.OK.value},\n+ {\"dataset\": \"a\", \"http_status\": HTTPStatus.OK.value, \"error_code\": None},\n@@ -261,7 +262 @@ def test_get_cache_reports_splits_next() -> None:\n- \"error\": {\n- \"cause_exception\": \"ExceptionB\",\n- \"cause_message\": \"Cause message B\",\n- \"cause_traceback\": [\"B\"],\n- \"error_code\": \"ErrorCodeB\",\n- \"message\": \"error B\",\n- },\n+ \"error_code\": \"ErrorCodeB\",\n@@ -279,7 +274 @@ def test_get_cache_reports_splits_next() -> None:\n- \"error\": {\n- \"cause_exception\": \"ExceptionC\",\n- \"cause_message\": \"Cause message C\",\n- \"cause_traceback\": [\"C\"],\n- \"error_code\": \"ErrorCodeC\",\n- \"message\": \"error C\",\n- },\n+ \"error_code\": \"ErrorCodeC\",\n@@ -340 +329 @@ def test_get_cache_reports_first_rows() -> None:\n- response = get_cache_reports_first_rows(None, 2)\n+ response = get_cache_reports_first_rows(\"\", 2)\n@@ -342 +331 @@ def test_get_cache_reports_first_rows() -> None:\n- {\"dataset\": \"a\", \"config\": \"config\", \"split\": \"split\", \"http_status\": HTTPStatus.OK.value},\n+ {\"dataset\": \"a\", \"config\": \"config\", \"split\": \"split\", \"http_status\": HTTPStatus.OK.value, \"error_code\": None},\n@@ -348,7 +337 @@ def test_get_cache_reports_first_rows() -> None:\n- \"error\": {\n- \"cause_exception\": \"ExceptionB\",\n- \"cause_message\": \"Cause message B\",\n- \"cause_traceback\": [\"B\"],\n- \"error_code\": \"ErrorCodeB\",\n- \"message\": \"error B\",\n- },\n+ \"error_code\": \"ErrorCodeB\",\n@@ -368,7 +351 @@ def test_get_cache_reports_first_rows() -> None:\n- \"error\": {\n- \"cause_exception\": \"ExceptionC\",\n- \"cause_message\": \"Cause message C\",\n- \"cause_traceback\": [\"C\"],\n- \"error_code\": \"ErrorCodeC\",\n- \"message\": \"error C\",\n- },\n+ \"error_code\": \"ErrorCodeC\",\n@@ -385,0 +363,24 @@ def test_get_cache_reports_first_rows() -> None:\n+\n+\n+@pytest.mark.parametrize(\"num_entries\", [100, 1_000])\n+def test_stress_get_cache_reports_first_rows(num_entries: int) -> None:\n+ MAX_SECONDS = 0.1\n+ assert get_cache_reports_first_rows(\"\", 2) == {\"cache_reports\": [], \"next_cursor\": \"\"}\n+ split_names = [f\"split{i}\" for i in range(num_entries)]\n+ for split_name in split_names:\n+ upsert_first_rows_response(\n+ \"dataset\",\n+ \"config\",\n+ split_name,\n+ {\"key\": \"value\"},\n+ HTTPStatus.OK,\n+ )\n+\n+ next_cursor = \"\"\n+ is_first: bool = True\n+ while next_cursor != \"\" or is_first:\n+ start = process_time()\n+ is_first = False\n+ response = get_cache_reports_first_rows(next_cursor, 100)\n+ next_cursor = response[\"next_cursor\"]\n+ assert process_time() - start < MAX_SECONDS\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex 1f3ad8e0..6047b718 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -456 +456 @@ name = \"libcache\"\n-version = \"0.1.25\"\n+version = \"0.1.26\"\n@@ -470 +470 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl\"\n@@ -1201 +1201 @@ python-versions = \"3.9.6\"\n-content-hash = \"adbce52f15ffbb04e3d700f3a8286c94609d15d17b41eaa4d7160467e2b032d3\"\n+content-hash = \"260c0d8ad53786636993ddd761239852cde9672b2989a4389a68f186e01fef94\"\n@@ -1471 +1471 @@ libcache = [\n- {file = \"libcache-0.1.25-py3-none-any.whl\", hash = \"sha256:bf457cd2d1b688c7350b61f0d62c55a37d46f2f8aa014fbbd6b065d72616a1de\"},\n+ {file = \"libcache-0.1.26-py3-none-any.whl\", hash = \"sha256:bde90c71b4bb7e94aff415d2970cf9ccb5c5107e8661ee7bdb76d09a9881b901\"},\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex c24bcf9f..ef2a61f9 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -9 +9 @@ huggingface-hub = \"^0.6.0\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl\", develop = false }"}}},{"rowIdx":1680,"cells":{"hash":{"kind":"string","value":"5b4aa5679ba758b7a11b696aa38c57fcfcc4e29c"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-29T20:34:15","string":"2022-07-29T20:34:15"},"subject":{"kind":"string","value":"feat: 🎸 update docker (#489)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 49f5a224..b16f7143 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a0a031b\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ea0ed8d\","}}},{"rowIdx":1681,"cells":{"hash":{"kind":"string","value":"0218b5030400862bdb859c17027f41b543535ed2"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-29T20:31:49","string":"2022-07-29T20:31:49"},"subject":{"kind":"string","value":"Add cache reports endpoint (#487)"},"diff":{"kind":"string","value":"diff --git a/e2e/Makefile b/e2e/Makefile\nindex 60d82a73..adb4b3b2 100644\n--- a/e2e/Makefile\n+++ b/e2e/Makefile\n@@ -20 +20 @@ e2e:\n-\tPYTEST_ARGS=-vv make test\n+\tmake test\ndiff --git a/libs/libcache/dist/libcache-0.1.24-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.24-py3-none-any.whl\nnew file mode 100644\nindex 00000000..f5ada4a5\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.24-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.24.tar.gz b/libs/libcache/dist/libcache-0.1.24.tar.gz\nnew file mode 100644\nindex 00000000..65bb4b76\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.24.tar.gz differ\ndiff --git a/libs/libcache/dist/libcache-0.1.25-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.25-py3-none-any.whl\nnew file mode 100644\nindex 00000000..8b99819c\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.25-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.25.tar.gz b/libs/libcache/dist/libcache-0.1.25.tar.gz\nnew file mode 100644\nindex 00000000..0976c822\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.25.tar.gz differ\ndiff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml\nindex 29d21556..fa409d6d 100644\n--- a/libs/libcache/pyproject.toml\n+++ b/libs/libcache/pyproject.toml\n@@ -5 +5 @@ name = \"libcache\"\n-version = \"0.1.23\"\n+version = \"0.1.25\"\ndiff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py\nindex 11a01ff0..972dba72 100644\n--- a/libs/libcache/src/libcache/simple_cache.py\n+++ b/libs/libcache/src/libcache/simple_cache.py\n@@ -6,0 +7,2 @@ from typing import Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVa\n+from bson import ObjectId\n+from bson.errors import InvalidId\n@@ -12,0 +15 @@ from mongoengine.fields import (\n+ ObjectIdField,\n@@ -49,0 +53 @@ class SplitsResponse(Document):\n+ id = ObjectIdField(db_field=\"_id\", primary_key=True, default=ObjectId)\n@@ -67,0 +72 @@ class FirstRowsResponse(Document):\n+ id = ObjectIdField(db_field=\"_id\", primary_key=True, default=ObjectId)\n@@ -261 +266 @@ def get_datasets_with_some_error() -> List[str]:\n-# /cache-reports endpoints\n+# /cache-reports/... endpoints\n@@ -268,0 +274 @@ class ErrorReport(_ErrorReport, total=False):\n+ error_code: str\n@@ -269,0 +276,2 @@ class ErrorReport(_ErrorReport, total=False):\n+ cause_message: str\n+ cause_traceback: List[str]\n@@ -272 +280 @@ class ErrorReport(_ErrorReport, total=False):\n-class SplitsResponseReport(TypedDict):\n+class _ResponseReport(TypedDict):\n@@ -274 +282,4 @@ class SplitsResponseReport(TypedDict):\n- status: int\n+ http_status: int\n+\n+\n+class SplitsResponseReport(_ResponseReport, total=False):\n@@ -278,2 +289 @@ class SplitsResponseReport(TypedDict):\n-class FirstRowsResponseReport(TypedDict):\n- dataset: str\n+class FirstRowsResponseReport(SplitsResponseReport):\n@@ -282,2 +292,10 @@ class FirstRowsResponseReport(TypedDict):\n- status: int\n- error: Optional[ErrorReport]\n+\n+\n+class CacheReportSplitsNext(TypedDict):\n+ cache_reports: List[SplitsResponseReport]\n+ next_cursor: str\n+\n+\n+class CacheReportFirstRows(TypedDict):\n+ cache_reports: List[FirstRowsResponseReport]\n+ next_cursor: str\n@@ -287 +305,2 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro\n- if object.http_status == HTTPStatus.OK:\n+ details = object.details\n+ if not details:\n@@ -289,5 +308,11 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro\n- if \"error\" not in object.response:\n- raise ValueError(\"Missing message in error response\")\n- report: ErrorReport = {\"message\": object.response[\"error\"]}\n- if \"cause_exception\" in object.response:\n- report[\"cause_exception\"] = object.response[\"cause_exception\"]\n+ if \"error\" not in details:\n+ raise ValueError(\"Missing message in object details\")\n+ report: ErrorReport = {\"message\": details[\"error\"]}\n+ if \"cause_exception\" in details:\n+ report[\"cause_exception\"] = details[\"cause_exception\"]\n+ if \"cause_message\" in details:\n+ report[\"cause_message\"] = details[\"cause_message\"]\n+ if \"cause_traceback\" in details:\n+ report[\"cause_traceback\"] = details[\"cause_traceback\"]\n+ if object.error_code is not None:\n+ report[\"error_code\"] = object.error_code\n@@ -297,9 +322,9 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro\n-def get_splits_response_reports() -> List[SplitsResponseReport]:\n- return [\n- {\n- \"dataset\": response.dataset_name,\n- \"status\": response.http_status.value,\n- \"error\": get_error(response),\n- }\n- for response in SplitsResponse.objects()\n- ]\n+def get_splits_next_report(object: SplitsResponse) -> SplitsResponseReport:\n+ report: SplitsResponseReport = {\n+ \"dataset\": object.dataset_name,\n+ \"http_status\": object.http_status.value,\n+ }\n+ error = get_error(object)\n+ if error is not None:\n+ report[\"error\"] = error\n+ return report\n@@ -308,11 +333,104 @@ def get_splits_response_reports() -> List[SplitsResponseReport]:\n-def get_first_rows_response_reports() -> List[FirstRowsResponseReport]:\n- return [\n- {\n- \"dataset\": response.dataset_name,\n- \"config\": response.config_name,\n- \"split\": response.split_name,\n- \"status\": response.http_status.value,\n- \"error\": get_error(response),\n- }\n- for response in FirstRowsResponse.objects()\n- ]\n+def get_first_rows_report(object: FirstRowsResponse) -> FirstRowsResponseReport:\n+ report: FirstRowsResponseReport = {\n+ \"dataset\": object.dataset_name,\n+ \"config\": object.config_name,\n+ \"split\": object.split_name,\n+ \"http_status\": object.http_status.value,\n+ }\n+ error = get_error(object)\n+ if error is not None:\n+ report[\"error\"] = error\n+ return report\n+\n+\n+class InvalidCursor(Exception):\n+ pass\n+\n+\n+class InvalidLimit(Exception):\n+ pass\n+\n+\n+def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsNext:\n+ \"\"\"\n+ Get a list of reports about SplitsResponse cache entries, along with the next cursor.\n+ See https://solovyov.net/blog/2020/api-pagination-design/.\n+ Args:\n+ cursor (`str`):\n+ An opaque string value representing a pointer to a specific SplitsResponse item in the dataset. The\n+ server returns results after the given pointer.\n+ An empty string means to start from the beginning.\n+ limit (strictly positive `int`):\n+ The maximum number of results.\n+ Returns:\n+ [`CacheReportSplitsNext`]: A dict with the list of reports and the next cursor. The next cursor is\n+ an empty string if there are no more items to be fetched.\n+ \n+ Raises the following errors:\n+ - [`~libcache.simple_cache.InvalidCursor`]\n+ If the cursor is invalid.\n+ - [`~libcache.simple_cache.InvalidLimit`]\n+ If the limit is an invalid number.\n+ \n+ \"\"\"\n+ if not cursor:\n+ queryset = SplitsResponse.objects()\n+ else:\n+ try:\n+ queryset = SplitsResponse.objects(id__gt=ObjectId(cursor))\n+ except InvalidId as err:\n+ raise InvalidCursor(\"Invalid cursor.\") from err\n+ if limit <= 0:\n+ raise InvalidLimit(\"Invalid limit.\")\n+ objects = list(\n+ queryset.order_by(\"+id\")\n+ .only(\"id\", \"dataset_name\", \"http_status\", \"response\", \"details\", \"error_code\")\n+ .limit(limit)\n+ )\n+\n+ return {\n+ \"cache_reports\": [get_splits_next_report(object) for object in objects],\n+ \"next_cursor\": \"\" if len(objects) < limit else str(objects[-1].id),\n+ }\n+\n+\n+def get_cache_reports_first_rows(cursor: Optional[str], limit: int) -> CacheReportFirstRows:\n+ \"\"\"\n+ Get a list of reports about FirstRowsResponse cache entries, along with the next cursor.\n+ See https://solovyov.net/blog/2020/api-pagination-design/.\n+ Args:\n+ cursor (`str`):\n+ An opaque string value representing a pointer to a specific FirstRowsResponse item in the dataset. The\n+ server returns results after the given pointer.\n+ An empty string means to start from the beginning.\n+ limit (strictly positive `int`):\n+ The maximum number of results.\n+ Returns:\n+ [`CacheReportFirstRows`]: A dict with the list of reports and the next cursor. The next cursor is\n+ an empty string if there are no more items to be fetched.\n+ \n+ Raises the following errors:\n+ - [`~libcache.simple_cache.InvalidCursor`]\n+ If the cursor is invalid.\n+ - [`~libcache.simple_cache.InvalidLimit`]\n+ If the limit is an invalid number.\n+ \n+ \"\"\"\n+ if not cursor:\n+ queryset = FirstRowsResponse.objects()\n+ else:\n+ try:\n+ queryset = FirstRowsResponse.objects(id__gt=ObjectId(cursor))\n+ except InvalidId as err:\n+ raise InvalidCursor(\"Invalid cursor.\") from err\n+ if limit <= 0:\n+ raise InvalidLimit(\"Invalid limit.\")\n+ objects = list(\n+ queryset.order_by(\"+id\")\n+ .only(\"id\", \"dataset_name\", \"config_name\", \"split_name\", \"http_status\", \"response\", \"details\", \"error_code\")\n+ .limit(limit)\n+ )\n+ return {\n+ \"cache_reports\": [get_first_rows_report(object) for object in objects],\n+ \"next_cursor\": \"\" if len(objects) < limit else str(objects[-1].id),\n+ }\ndiff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py\nindex 470923b4..844d95c7 100644\n--- a/libs/libcache/tests/test_simple_cache.py\n+++ b/libs/libcache/tests/test_simple_cache.py\n@@ -7,0 +8,2 @@ from libcache.simple_cache import (\n+ InvalidCursor,\n+ InvalidLimit,\n@@ -11,0 +14,2 @@ from libcache.simple_cache import (\n+ get_cache_reports_first_rows,\n+ get_cache_reports_splits_next,\n@@ -14 +17,0 @@ from libcache.simple_cache import (\n- get_first_rows_response_reports,\n@@ -17 +19,0 @@ from libcache.simple_cache import (\n- get_splits_response_reports,\n@@ -218,2 +220,2 @@ def test_count_by_status() -> None:\n-def test_reports() -> None:\n- assert get_splits_response_reports() == []\n+def test_get_cache_reports_splits_next() -> None:\n+ assert get_cache_reports_splits_next(\"\", 2) == {\"cache_reports\": [], \"next_cursor\": \"\"}\n@@ -224,0 +227,6 @@ def test_reports() -> None:\n+ b_details = {\n+ \"error\": \"error B\",\n+ \"cause_exception\": \"ExceptionB\",\n+ \"cause_message\": \"Cause message B\",\n+ \"cause_traceback\": [\"B\"],\n+ }\n@@ -227,27 +235,4 @@ def test_reports() -> None:\n- {\n- \"error\": \"Cannot get the split names for the dataset.\",\n- \"cause_exception\": \"FileNotFoundError\",\n- \"cause_message\": (\n- \"Couldn't find a dataset script at /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data\"\n- \" file in the same directory. Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either:\"\n- \" FileNotFoundError: Dataset 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private,\"\n- \" make sure you are authenticated with `use_auth_token=True` after logging in with `huggingface-cli\"\n- \" login`.\"\n- ),\n- \"cause_traceback\": [\n- \"Traceback (most recent call last):\\n\",\n- ' File \"/src/services/worker/src/worker/models/dataset.py\", line 17, in'\n- \" get_dataset_split_full_names\\n for config_name in get_dataset_config_names(dataset_name,\"\n- \" use_auth_token=hf_token)\\n\",\n- ' File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 289, in'\n- \" get_dataset_config_names\\n dataset_module = dataset_module_factory(\\n\",\n- ' File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1242, in'\n- \" dataset_module_factory\\n raise FileNotFoundError(\\n\",\n- \"FileNotFoundError: Couldn't find a dataset script at\"\n- \" /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data file in the same directory.\"\n- \" Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either: FileNotFoundError: Dataset\"\n- \" 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private, make sure you are\"\n- \" authenticated with `use_auth_token=True` after logging in with `huggingface-cli login`.\\n\",\n- ],\n- },\n- HTTPStatus.BAD_REQUEST,\n+ b_details,\n+ HTTPStatus.INTERNAL_SERVER_ERROR,\n+ \"ErrorCodeB\",\n+ b_details,\n@@ -254,0 +240,6 @@ def test_reports() -> None:\n+ c_details = {\n+ \"error\": \"error C\",\n+ \"cause_exception\": \"ExceptionC\",\n+ \"cause_message\": \"Cause message C\",\n+ \"cause_traceback\": [\"C\"],\n+ }\n@@ -258 +249 @@ def test_reports() -> None:\n- \"error\": \"cannot write mode RGBA as JPEG\",\n+ \"error\": c_details[\"error\"],\n@@ -261,28 +252,2 @@ def test_reports() -> None:\n- \"RowsPostProcessingError\",\n- {\n- \"status_code\": 500,\n- \"message\": \"cannot write mode RGBA as JPEG\",\n- \"cause_exception\": \"FileNotFoundError\",\n- \"cause_message\": (\n- \"Couldn't find a dataset script at /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data\"\n- \" file in the same directory. Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either:\"\n- \" FileNotFoundError: Dataset 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private,\"\n- \" make sure you are authenticated with `use_auth_token=True` after logging in with `huggingface-cli\"\n- \" login`.\"\n- ),\n- \"cause_traceback\": [\n- \"Traceback (most recent call last):\\n\",\n- ' File \"/src/services/worker/src/worker/models/dataset.py\", line 17, in'\n- \" get_dataset_split_full_names\\n for config_name in get_dataset_config_names(dataset_name,\"\n- \" use_auth_token=hf_token)\\n\",\n- ' File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 289, in'\n- \" get_dataset_config_names\\n dataset_module = dataset_module_factory(\\n\",\n- ' File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1242, in'\n- \" dataset_module_factory\\n raise FileNotFoundError(\\n\",\n- \"FileNotFoundError: Couldn't find a dataset script at\"\n- \" /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data file in the same directory.\"\n- \" Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either: FileNotFoundError: Dataset\"\n- \" 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private, make sure you are\"\n- \" authenticated with `use_auth_token=True` after logging in with `huggingface-cli login`.\\n\",\n- ],\n- },\n+ \"ErrorCodeC\",\n+ c_details,\n@@ -290,2 +255,3 @@ def test_reports() -> None:\n- assert get_splits_response_reports() == [\n- {\"dataset\": \"a\", \"error\": None, \"status\": HTTPStatus.OK.value},\n+ response = get_cache_reports_splits_next(\"\", 2)\n+ assert response[\"cache_reports\"] == [\n+ {\"dataset\": \"a\", \"http_status\": HTTPStatus.OK.value},\n@@ -293,0 +260 @@ def test_reports() -> None:\n+ \"http_status\": HTTPStatus.INTERNAL_SERVER_ERROR.value,\n@@ -295,2 +262,5 @@ def test_reports() -> None:\n- \"cause_exception\": \"FileNotFoundError\",\n- \"message\": \"Cannot get the split names for the dataset.\",\n+ \"cause_exception\": \"ExceptionB\",\n+ \"cause_message\": \"Cause message B\",\n+ \"cause_traceback\": [\"B\"],\n+ \"error_code\": \"ErrorCodeB\",\n+ \"message\": \"error B\",\n@@ -298 +267,0 @@ def test_reports() -> None:\n- \"status\": HTTPStatus.BAD_REQUEST.value,\n@@ -299,0 +269,64 @@ def test_reports() -> None:\n+ ]\n+ assert response[\"next_cursor\"] != \"\"\n+ next_cursor = response[\"next_cursor\"]\n+\n+ response = get_cache_reports_splits_next(next_cursor, 2)\n+ assert response == {\n+ \"cache_reports\": [\n+ {\n+ \"dataset\": \"c\",\n+ \"http_status\": HTTPStatus.INTERNAL_SERVER_ERROR.value,\n+ \"error\": {\n+ \"cause_exception\": \"ExceptionC\",\n+ \"cause_message\": \"Cause message C\",\n+ \"cause_traceback\": [\"C\"],\n+ \"error_code\": \"ErrorCodeC\",\n+ \"message\": \"error C\",\n+ },\n+ },\n+ ],\n+ \"next_cursor\": \"\",\n+ }\n+\n+ with pytest.raises(InvalidCursor):\n+ get_cache_reports_splits_next(\"not an objectid\", 2)\n+ with pytest.raises(InvalidLimit):\n+ get_cache_reports_splits_next(next_cursor, -1)\n+ with pytest.raises(InvalidLimit):\n+ get_cache_reports_splits_next(next_cursor, 0)\n+\n+\n+def test_get_cache_reports_first_rows() -> None:\n+ assert get_cache_reports_first_rows(\"\", 2) == {\"cache_reports\": [], \"next_cursor\": \"\"}\n+ upsert_first_rows_response(\n+ \"a\",\n+ \"config\",\n+ \"split\",\n+ {\"key\": \"value\"},\n+ HTTPStatus.OK,\n+ )\n+ b_details = {\n+ \"error\": \"error B\",\n+ \"cause_exception\": \"ExceptionB\",\n+ \"cause_message\": \"Cause message B\",\n+ \"cause_traceback\": [\"B\"],\n+ }\n+ upsert_first_rows_response(\n+ \"b\",\n+ \"config\",\n+ \"split\",\n+ b_details,\n+ HTTPStatus.INTERNAL_SERVER_ERROR,\n+ \"ErrorCodeB\",\n+ b_details,\n+ )\n+ c_details = {\n+ \"error\": \"error C\",\n+ \"cause_exception\": \"ExceptionC\",\n+ \"cause_message\": \"Cause message C\",\n+ \"cause_traceback\": [\"C\"],\n+ }\n+ upsert_first_rows_response(\n+ \"c\",\n+ \"config\",\n+ \"split\",\n@@ -301,3 +334,21 @@ def test_reports() -> None:\n- \"dataset\": \"c\",\n- \"error\": {\"message\": \"cannot write mode RGBA as JPEG\"},\n- \"status\": HTTPStatus.INTERNAL_SERVER_ERROR.value,\n+ \"error\": c_details[\"error\"],\n+ },\n+ HTTPStatus.INTERNAL_SERVER_ERROR,\n+ \"ErrorCodeC\",\n+ c_details,\n+ )\n+ response = get_cache_reports_first_rows(None, 2)\n+ assert response[\"cache_reports\"] == [\n+ {\"dataset\": \"a\", \"config\": \"config\", \"split\": \"split\", \"http_status\": HTTPStatus.OK.value},\n+ {\n+ \"dataset\": \"b\",\n+ \"config\": \"config\",\n+ \"split\": \"split\",\n+ \"http_status\": HTTPStatus.INTERNAL_SERVER_ERROR.value,\n+ \"error\": {\n+ \"cause_exception\": \"ExceptionB\",\n+ \"cause_message\": \"Cause message B\",\n+ \"cause_traceback\": [\"B\"],\n+ \"error_code\": \"ErrorCodeB\",\n+ \"message\": \"error B\",\n+ },\n@@ -306,2 +357,29 @@ def test_reports() -> None:\n-\n- assert get_first_rows_response_reports() == []\n+ assert response[\"next_cursor\"] != \"\"\n+ next_cursor = response[\"next_cursor\"]\n+\n+ response = get_cache_reports_first_rows(next_cursor, 2)\n+ assert response == {\n+ \"cache_reports\": [\n+ {\n+ \"dataset\": \"c\",\n+ \"config\": \"config\",\n+ \"split\": \"split\",\n+ \"http_status\": HTTPStatus.INTERNAL_SERVER_ERROR.value,\n+ \"error\": {\n+ \"cause_exception\": \"ExceptionC\",\n+ \"cause_message\": \"Cause message C\",\n+ \"cause_traceback\": [\"C\"],\n+ \"error_code\": \"ErrorCodeC\",\n+ \"message\": \"error C\",\n+ },\n+ },\n+ ],\n+ \"next_cursor\": \"\",\n+ }\n+\n+ with pytest.raises(InvalidCursor):\n+ get_cache_reports_first_rows(\"not an objectid\", 2)\n+ with pytest.raises(InvalidLimit):\n+ get_cache_reports_first_rows(next_cursor, -1)\n+ with pytest.raises(InvalidLimit):\n+ get_cache_reports_first_rows(next_cursor, 0)\ndiff --git a/services/admin/.env.example b/services/admin/.env.example\nindex ae4c3eee..2ea324f0 100644\n--- a/services/admin/.env.example\n+++ b/services/admin/.env.example\n@@ -12,0 +13,3 @@\n+# Number of reports in /cache-reports/... endpoints\n+# CACHE_REPORTS_NUM_RESULTS=100\n+\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex b780fc7f..2c94342f 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -20,0 +21 @@ Set environment variables to configure the following aspects:\n+- `CACHE_REPORTS_NUM_RESULTS`: the number of results in /cache-reports/... endpoints. Defaults to `100`.\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex 5bac7f0d..1f3ad8e0 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -456 +456 @@ name = \"libcache\"\n-version = \"0.1.23\"\n+version = \"0.1.25\"\n@@ -470 +470 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl\"\n@@ -1201 +1201 @@ python-versions = \"3.9.6\"\n-content-hash = \"eb94ab2091e41d32518871f0038e1d1a0c705d5c5ca0714490ed021d0fb6dc9c\"\n+content-hash = \"adbce52f15ffbb04e3d700f3a8286c94609d15d17b41eaa4d7160467e2b032d3\"\n@@ -1471 +1471 @@ libcache = [\n- {file = \"libcache-0.1.23-py3-none-any.whl\", hash = \"sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb\"},\n+ {file = \"libcache-0.1.25-py3-none-any.whl\", hash = \"sha256:bf457cd2d1b688c7350b61f0d62c55a37d46f2f8aa014fbbd6b065d72616a1de\"},\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex 78fadb79..c24bcf9f 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -9 +9 @@ huggingface-hub = \"^0.6.0\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl\", develop = false }\ndiff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py\nindex 8e0fd500..9ef5dc5d 100644\n--- a/services/admin/src/admin/app.py\n+++ b/services/admin/src/admin/app.py\n@@ -21 +21,4 @@ from admin.prometheus import Prometheus\n-from admin.routes.cache_reports import cache_reports_endpoint\n+from admin.routes.cache_reports import (\n+ cache_reports_first_rows_endpoint,\n+ cache_reports_splits_next_endpoint,\n+)\n@@ -37 +40,2 @@ def create_app() -> Starlette:\n- Route(\"/cache-reports\", endpoint=cache_reports_endpoint),\n+ Route(\"/cache-reports/first-rows\", endpoint=cache_reports_first_rows_endpoint),\n+ Route(\"/cache-reports/splits-next\", endpoint=cache_reports_splits_next_endpoint),\ndiff --git a/services/admin/src/admin/config.py b/services/admin/src/admin/config.py\nindex e4d5d8b9..f0592808 100644\n--- a/services/admin/src/admin/config.py\n+++ b/services/admin/src/admin/config.py\n@@ -10,0 +11 @@ from admin.constants import (\n+ DEFAULT_CACHE_REPORTS_NUM_RESULTS,\n@@ -24,0 +26,3 @@ ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key=\"ASSETS_DIRECTORY\", d\n+CACHE_REPORTS_NUM_RESULTS = get_int_value(\n+ d=os.environ, key=\"CACHE_REPORTS_NUM_RESULTS\", default=DEFAULT_CACHE_REPORTS_NUM_RESULTS\n+)\ndiff --git a/services/admin/src/admin/constants.py b/services/admin/src/admin/constants.py\nindex 26307303..e41c63f9 100644\n--- a/services/admin/src/admin/constants.py\n+++ b/services/admin/src/admin/constants.py\n@@ -4,0 +5 @@ DEFAULT_ASSETS_DIRECTORY: None = None\n+DEFAULT_CACHE_REPORTS_NUM_RESULTS: int = 100\ndiff --git a/services/admin/src/admin/routes/_utils.py b/services/admin/src/admin/routes/_utils.py\ndeleted file mode 100644\nindex 9f55980f..00000000\n--- a/services/admin/src/admin/routes/_utils.py\n+++ /dev/null\n@@ -1,14 +0,0 @@\n-from typing import Any\n-\n-from libutils.utils import orjson_dumps\n-from starlette.responses import JSONResponse, Response\n-\n-\n-class OrjsonResponse(JSONResponse):\n- def render(self, content: Any) -> bytes:\n- return orjson_dumps(content)\n-\n-\n-def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response:\n- headers = {\"Cache-Control\": f\"max-age={max_age}\"} if max_age > 0 else {\"Cache-Control\": \"no-store\"}\n- return OrjsonResponse(content, status_code=status_code, headers=headers)\ndiff --git a/services/admin/src/admin/routes/cache_reports.py b/services/admin/src/admin/routes/cache_reports.py\nindex 51f48e14..338e0e4a 100644\n--- a/services/admin/src/admin/routes/cache_reports.py\n+++ b/services/admin/src/admin/routes/cache_reports.py\n@@ -2 +1,0 @@ import logging\n-import time\n@@ -5,2 +4,4 @@ from libcache.simple_cache import (\n- get_first_rows_response_reports,\n- get_splits_response_reports,\n+ InvalidCursor,\n+ InvalidLimit,\n+ get_cache_reports_first_rows,\n+ get_cache_reports_splits_next,\n@@ -11,2 +12,8 @@ from starlette.responses import Response\n-from admin.config import MAX_AGE_SHORT_SECONDS\n-from admin.routes._utils import get_response\n+from admin.config import CACHE_REPORTS_NUM_RESULTS\n+from admin.utils import (\n+ AdminCustomError,\n+ InvalidParameterError,\n+ UnexpectedError,\n+ get_json_admin_error_response,\n+ get_json_ok_response,\n+)\n@@ -17,8 +24,34 @@ logger = logging.getLogger(__name__)\n-async def cache_reports_endpoint(_: Request) -> Response:\n- logger.info(\"/cache-reports\")\n- content = {\n- \"/splits-next\": get_splits_response_reports(),\n- \"/first-rows\": get_first_rows_response_reports(),\n- \"created_at\": time.strftime(\"%Y-%m-%dT%H:%M:%SZ\", time.gmtime()),\n- }\n- return get_response(content, 200, MAX_AGE_SHORT_SECONDS)\n+async def cache_reports_first_rows_endpoint(request: Request) -> Response:\n+ try:\n+ cursor = request.query_params.get(\"cursor\") or \"\"\n+ logger.info(f\"/cache-reports/first-rows, cursor={cursor}\")\n+ try:\n+ return get_json_ok_response(get_cache_reports_first_rows(cursor, CACHE_REPORTS_NUM_RESULTS))\n+ except InvalidCursor as e:\n+ raise InvalidParameterError(\"Invalid cursor.\") from e\n+ except InvalidLimit as e:\n+ raise UnexpectedError(\n+ \"Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer.\"\n+ ) from e\n+ except AdminCustomError as e:\n+ return get_json_admin_error_response(e)\n+ except Exception:\n+ return get_json_admin_error_response(UnexpectedError(\"Unexpected error.\"))\n+\n+\n+async def cache_reports_splits_next_endpoint(request: Request) -> Response:\n+ try:\n+ cursor = request.query_params.get(\"cursor\") or \"\"\n+ logger.info(f\"/cache-reports/splits-next, cursor={cursor}\")\n+ try:\n+ return get_json_ok_response(get_cache_reports_splits_next(cursor, CACHE_REPORTS_NUM_RESULTS))\n+ except InvalidCursor as e:\n+ raise InvalidParameterError(\"Invalid cursor.\") from e\n+ except InvalidLimit as e:\n+ raise UnexpectedError(\n+ \"Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer.\"\n+ ) from e\n+ except AdminCustomError as e:\n+ return get_json_admin_error_response(e)\n+ except Exception:\n+ return get_json_admin_error_response(UnexpectedError(\"Unexpected error.\"))\ndiff --git a/services/admin/src/admin/routes/pending_jobs.py b/services/admin/src/admin/routes/pending_jobs.py\nindex baa23ae6..96622bb7 100644\n--- a/services/admin/src/admin/routes/pending_jobs.py\n+++ b/services/admin/src/admin/routes/pending_jobs.py\n@@ -14 +14 @@ from admin.config import MAX_AGE_SHORT_SECONDS\n-from admin.routes._utils import get_response\n+from admin.utils import get_response\ndiff --git a/services/admin/src/admin/utils.py b/services/admin/src/admin/utils.py\nnew file mode 100644\nindex 00000000..0dcd9f35\n--- /dev/null\n+++ b/services/admin/src/admin/utils.py\n@@ -0,0 +1,74 @@\n+from http import HTTPStatus\n+from typing import Any, Literal, Optional\n+\n+from libutils.exceptions import CustomError\n+from libutils.utils import orjson_dumps\n+from starlette.responses import JSONResponse, Response\n+\n+from admin.config import MAX_AGE_SHORT_SECONDS\n+\n+AdminErrorCode = Literal[\n+ \"InvalidParameter\",\n+ \"UnexpectedError\",\n+]\n+\n+\n+class AdminCustomError(CustomError):\n+ \"\"\"Base class for exceptions in this module.\"\"\"\n+\n+ def __init__(\n+ self,\n+ message: str,\n+ status_code: HTTPStatus,\n+ code: AdminErrorCode,\n+ cause: Optional[BaseException] = None,\n+ disclose_cause: bool = False,\n+ ):\n+ super().__init__(message, status_code, str(code), cause, disclose_cause)\n+\n+\n+class InvalidParameterError(AdminCustomError):\n+ \"\"\"Raised when a parameter is invalid.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.UNPROCESSABLE_ENTITY, \"InvalidParameter\")\n+\n+\n+class UnexpectedError(AdminCustomError):\n+ \"\"\"Raised when an unexpected error occurred.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"UnexpectedError\")\n+\n+\n+class OrjsonResponse(JSONResponse):\n+ def render(self, content: Any) -> bytes:\n+ return orjson_dumps(content)\n+\n+\n+def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response:\n+ headers = {\"Cache-Control\": f\"max-age={max_age}\"} if max_age > 0 else {\"Cache-Control\": \"no-store\"}\n+ return OrjsonResponse(content, status_code=status_code, headers=headers)\n+\n+\n+def get_json_response(\n+ content: Any, status_code: HTTPStatus = HTTPStatus.OK, max_age: int = 0, error_code: Optional[str] = None\n+) -> Response:\n+ headers = {\"Cache-Control\": f\"max-age={max_age}\" if max_age > 0 else \"no-store\"}\n+ if error_code is not None:\n+ headers[\"X-Error-Code\"] = error_code\n+ return OrjsonResponse(content, status_code=status_code.value, headers=headers)\n+\n+\n+def get_json_ok_response(content: Any) -> Response:\n+ return get_json_response(content, max_age=MAX_AGE_SHORT_SECONDS)\n+\n+\n+def get_json_error_response(\n+ content: Any, status_code: HTTPStatus = HTTPStatus.OK, error_code: Optional[str] = None\n+) -> Response:\n+ return get_json_response(content, status_code=status_code, max_age=MAX_AGE_SHORT_SECONDS, error_code=error_code)\n+\n+\n+def get_json_admin_error_response(error: AdminCustomError) -> Response:\n+ return get_json_error_response(error.as_response(), error.status_code, error.code)\ndiff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py\nindex 086cefd4..843194c4 100644\n--- a/services/admin/tests/test_app.py\n+++ b/services/admin/tests/test_app.py\n@@ -0,0 +1,2 @@\n+from typing import Optional\n+\n@@ -67,7 +69,23 @@ def test_pending_jobs(client: TestClient) -> None:\n-def test_cache_reports(client: TestClient) -> None:\n- response = client.get(\"/cache-reports\")\n- assert response.status_code == 200\n- json = response.json()\n- assert json[\"/splits-next\"] == []\n- assert json[\"/first-rows\"] == []\n- assert \"created_at\" in json\n+@pytest.mark.parametrize(\n+ \"path,cursor,http_status,error_code\",\n+ [\n+ (\"/splits-next\", None, 200, None),\n+ (\"/splits-next\", \"\", 200, None),\n+ (\"/splits-next\", \"invalid cursor\", 422, \"InvalidParameter\"),\n+ (\"/first-rows\", None, 200, None),\n+ (\"/first-rows\", \"\", 200, None),\n+ (\"/first-rows\", \"invalid cursor\", 422, \"InvalidParameter\"),\n+ ],\n+)\n+def test_cache_reports(\n+ client: TestClient, path: str, cursor: Optional[str], http_status: int, error_code: Optional[str]\n+) -> None:\n+ cursor_str = f\"?cursor={cursor}\" if cursor else \"\"\n+ response = client.get(f\"/cache-reports{path}{cursor_str}\")\n+ assert response.status_code == http_status\n+ if error_code:\n+ assert isinstance(response.json()[\"error\"], str)\n+ assert response.headers[\"X-Error-Code\"] == error_code\n+ else:\n+ assert response.json() == {\"cache_reports\": [], \"next_cursor\": \"\"}\n+ assert \"X-Error-Code\" not in response.headers\ndiff --git a/tools/Python.mk b/tools/Python.mk\nindex 43474eda..97a0c86e 100644\n--- a/tools/Python.mk\n+++ b/tools/Python.mk\n@@ -38 +38 @@ test-target:\n-\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) $(PYTEST_ARGS)\n+\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) $(PYTEST_ARGS)\n@@ -42 +42 @@ test-target-expression:\n-\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS)\n+\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS)"}}},{"rowIdx":1682,"cells":{"hash":{"kind":"string","value":"476b22834b6cbf426f098dc1e6cd04502a64b459"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-29T15:47:08","string":"2022-07-29T15:47:08"},"subject":{"kind":"string","value":"docs: ✏️ The docs have been moved to notion.so (#485)"},"diff":{"kind":"string","value":"diff --git a/docs_to_notion/authentication.md b/docs_to_notion/authentication.md\ndeleted file mode 100644\nindex 6f1d905b..00000000\n--- a/docs_to_notion/authentication.md\n+++ /dev/null\n@@ -1,63 +0,0 @@\n-## AWS CLI profile\n-\n-To work on the `datasets-server` infrastructure, you have to configure AWS to use the SSO account `hub` (see https://huggingface.awsapps.com/start#/) with the role `EKS-HUB-Tensorboard` (see also the [doc in Notion about AWS SSO](https://www.notion.so/huggingface2/Conventions-645d29ce0a01496bb07c67a06612aa98#ff642cd8e28a4107ae26cc6183ccdd01)):\n-\n-```shell\n-$ aws configure sso\n-SSO start URL [None]: https://huggingface.awsapps.com/start#/\n-SSO Region [None]: us-east-1\n-There are 3 AWS accounts available to you. # <-- select \"hub\"\n-Using the account ID 707930574880\n-There are 3 roles available to you. # <-- select \"EKS-HUB-Tensorboard\"\n-Using the role name \"EKS-HUB-Tensorboard\"\n-CLI default client Region [None]:\n-CLI default output format [None]:\n-CLI profile name [EKS-HUB-Hub-707930574880]: tb\n-\n-To use this profile, specify the profile name using --profile, as shown:\n-\n-aws s3 ls --profile tb\n-```\n-\n-In the docs, we assume the AWS CLI profile is called `tb`.\n-\n-The profile `tb` is meant to:\n-\n-- operate inside the two EKS clusters (`hub-prod` and `hub-ephemeral`):\n-\n- - setup the kube contexts:\n-\n- ```shell\n- aws eks update-kubeconfig --name \"hub-prod\" --alias \"hub-prod-with-tb\" --region us-east-1 --profile=tb\n- aws eks update-kubeconfig --name \"hub-ephemeral\" --alias \"hub-ephemeral-with-tb\" --region us-east-1 --profile=tb\n- ```\n-\n- - install kubectx and kubens (see [tools.md](./tools.md))\n- - ephemeral:\n-\n- ```shell\n- kubectx hub-ephemeral-with-tb\n- kubens datasets-server\n- kubectl get pod\n- ```\n-\n- - prod:\n-\n- ```shell\n- kubectx hub-prod-with-tb\n- kubens datasets-server\n- kubectl get pod\n- ```\n-\n-- list, pull, push docker images from repositories of the ECR registry (`707930574880.dkr.ecr.us-east-1.amazonaws.com`):\n-\n- ```shell\n- $ aws ecr get-login-password --region us-east-1 --profile=tb \\\n- | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com\n- ```\n-\n-It is not meant to operate on AWS resources directly. The following command gives authentication error for example:\n-\n-```shell\n-$ aws eks list-clusters --profile=tb\n-```\ndiff --git a/docs_to_notion/docker.md b/docs_to_notion/docker.md\ndeleted file mode 100644\nindex 850541cf..00000000\n--- a/docs_to_notion/docker.md\n+++ /dev/null\n@@ -1,24 +0,0 @@\n-# Docker images repositories\n-\n-## Amazon Elastic Container Registry (ECR)\n-\n-We use a private registry of docker images on Amazon Elastic Container Registry (ECR): https://us-east-1.console.aws.amazon.com/ecr/repositories?region=us-east-1.\n-\n-The docker images are pushed there using the CI ([docker.yml](../.github/workflows/docker.yml)).\n-\n-Every image is tagged with the git commit used to build it (short form, ie: `sha-698411e`).\n-\n-The docker repositories are:\n-\n-- `707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api` for the API service. See https://us-east-1.console.aws.amazon.com/ecr/repositories/private/707930574880/hub-datasets-server-api.\n-- `707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker` for the worker. See https://us-east-1.console.aws.amazon.com/ecr/repositories/private/707930574880/hub-datasets-server-worker.\n-\n-To create, modify or delete ECR repositories, ask the infra team.\n-\n-If you want to list, pull or push a docker image manually, you have to login before:\n-\n-```\n-aws ecr get-login-password --profile=tb | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com\n-```\n-\n-The documentation for the `aws ecr` CLI is here: https://docs.aws.amazon.com/cli/latest/reference/ecr/index.html.\ndiff --git a/docs_to_notion/helm.md b/docs_to_notion/helm.md\ndeleted file mode 100644\nindex b4743135..00000000\n--- a/docs_to_notion/helm.md\n+++ /dev/null\n@@ -1,31 +0,0 @@\n-# Helm\n-\n-We use [Helm](https://helm.sh/docs/intro/using_helm/) to describe the Kubernetes resources of the `datasets-server` application (as a \"Chart\"), and deploy it to the Kubernetes cluster.\n-\n-The [templates/](../charts/datasets-server/templates) directory contains a list of templates of Kubernetes resources configurations.\n-\n-The [values.yaml](../charts/datasets-server/values.yaml) file contains a list of configuration values that are used in the templates to replace the placeholders. It can be overridden in all the `helm` command by the `--values` option (see how it is used in the [`Makefile`](../charts/datasets-server/Makefile)).\n-\n-## Notes\n-\n-An Helm Release is like an instance of the app, deployed on the Kubernetes cluster. You can have various Releases at the same time, for example moon-landing has one Release for each pull-request, allowing to test the hub on every branch. All is related to the Release name (eg. `datasets-server-dev`), which must be used in the labels, so that the Kubernetes objects are related as expected in the same Release, and ignore the objects of the other Releases.\n-\n-Note that Kubernetes is not [blue-green deployment](https://en.wikipedia.org/wiki/Blue-green_deployment) (blue-green: two environments, \"blue\" and \"green\", coexist, where one is active and the other is inactive, and upgrading the app consists in preparing the inactive one, then activating it instead of the other). Meanwhile, Kubernetes create the new pods (and delete the old ones) one by one, which can lead to a small period with some pods running the new version of the app, and other ones running the old version. This means that the application should take care of the retrocompatibility (writing to the database, to the filesystem).\n-\n-### MongoDB\n-\n-To deploy mongodb for a given release, we declare it as a dependency in the datasets-server [Chart.yaml](../charts/datasets-server/Chart.yaml). When deployed, it spawns a service named `datasets-server-dev-mongodb` (the release name, followed by `-mongodb`). We can see it:\n-\n-```\n-$ hubectl get service\n-datasets-server-mongodb ClusterIP 172.20.84.193 27017/TCP 18h\n-...\n-```\n-\n-Note that with the current configuration, the whole cluster has access to the mongodb service. It is not exposed to the exterior though, and thus we don't require authentication for now. If we want to access mongo from a local machine, we can forward the port:\n-\n-```\n-$ kubectl port-forward datasets-server-mongodb-0 27017:27017\n-Forwarding from 127.0.0.1:27017 -> 27017\n-Forwarding from [::1]:27017 -> 27017\n-```\ndiff --git a/docs_to_notion/kubernetes.md b/docs_to_notion/kubernetes.md\ndeleted file mode 100644\nindex 7d6fc891..00000000\n--- a/docs_to_notion/kubernetes.md\n+++ /dev/null\n@@ -1,264 +0,0 @@\n-# Kubernetes\n-\n-This directory contains object configuration files, following the [Declarative object configuration](https://kubernetes.io/docs/concepts/overview/working-with-objects/object-management/#declarative-object-configuration) method of deploying an application on Kubernetes.\n-\n-This means that we should only use `kubectl diff` and `kubectl apply` to manage the state (and `kubectl get` to read the values), and never use `kubectl create` or `kubectl delete`.\n-\n-## Cluster\n-\n-All the projects that form part of the Hub, such as `datasets-server`, are deployed on a common Kubernetes cluster on Amazon EKS (Elastic Kubernetes Service). Two clusters are available:\n-\n-- `hub-prod` for the production\n-- `hub-ephemeral` for the ephemeral environments (pull requests)\n-\n-### List the clusters on Amazon EKS\n-\n-If you have a profile with the rights to list the clusters on Amazon EKS, you can see them using the web console: https://us-east-1.console.aws.amazon.com/eks/home?region=us-east-1#/clusters, or use the CLI [`aws eks`](https://docs.aws.amazon.com/cli/latest/reference/eks/index.html):\n-\n-```\n-$ aws eks list-clusters --profile=hub-pu\n-{\n- \"clusters\": [\n- \"hub-ephemeral\",\n- \"hub-preprod\",\n- \"hub-prod\"\n- ]\n-}\n-```\n-\n-Note that listing the clusters is not allowed for the `EKS-HUB-Tensorboard` role of the `hub` account:\n-\n-```\n-$ aws eks list-clusters --profile=tb\n-\n-An error occurred (AccessDeniedException) when calling the ListClusters operation: User: arn:aws:sts::707930574880:assumed-role/AWSReservedSSO_EKS-HUB-Tensorboard_855674a9053d4044/sylvain.lesage@huggingface.co is not authorized to perform: eks:ListClusters on resource: arn:aws:eks:eu-west-3:707930574880:cluster/*\n-```\n-\n-We've had to use another role to do it: create another profile called `hub-pu` by using `HFPowerUserAccess` instead of `EKS-HUB-Hub` in `aws configure sso`. Beware: this role might be removed soon.\n-\n-### Use a cluster\n-\n-Setup `kubectl` to use a cluster:\n-\n-- prod:\n- ```\n- $ aws eks update-kubeconfig --name \"hub-prod\" --alias \"hub-prod-with-tb\" --region us-east-1 --profile=tb\n- Updated context hub-prod-with-tb in /home/slesage/.kube/config\n- ```\n-- ephemeral:\n- ```\n- $ aws eks update-kubeconfig --name \"hub-ephemeral\" --alias \"hub-ephemeral-with-tb\" --region us-east-1 --profile=tb\n- Updated context hub-ephemeral-with-tb in /home/slesage/.kube/config\n- ```\n-\n-## Kubernetes objects\n-\n-The principal Kubernetes objects within a cluster are:\n-\n-- [namespace](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/): mechanism for isolating groups of resources within a single cluster\n-- [node](https://kubernetes.io/docs/tutorials/kubernetes-basics/explore/explore-intro/): the virtual or physical machines grouped in a cluster, each of which runs multiple pods. Note that with the `EKS-HUB-Hub` role, we don't have access to the list of nodes\n-- [deployment](https://kubernetes.io/docs/tutorials/kubernetes-basics/deploy-app/deploy-intro/): the configuration sent to the control plane to deploy and manage a containerized application. It describes a desired state for a set of pods\n-- [pod](https://kubernetes.io/docs/concepts/workloads/pods/): the pods are where the containerized applications are running, once deployed.\n-- [service](https://kubernetes.io/docs/concepts/services-networking/service/): an abstraction to access containerized application through the network from outside the cluster (maps a port on the proxy to the pods that will respond)\n-- [ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/): a set of rules that define how a service is exposed to the outside (URL, load-balancing, TLS, etc.)\n-- [configmap](https://kubernetes.io/docs/concepts/configuration/configmap/): configuration data for pods to consume.\n-- [secret](https://kubernetes.io/docs/concepts/configuration/secret/): secret data (like configmap, but confidential)\n-\n-To get the complete list of object types:\n-\n-```\n-kubectl api-resources -o wide | less\n-```\n-\n-To get some help about an object type, use `kubectl explain`:\n-\n-```\n-$ kubectl explain pod\n-\n-KIND: Pod\n-VERSION: v1\n-\n-DESCRIPTION:\n- Pod is a collection of containers that can run on a host. This resource is\n- created by clients and scheduled onto hosts.\n-\n-...\n-```\n-\n-### Useful kubectl commands\n-\n-Some useful commands:\n-\n-- `kubectl api-resources`: list all the object types (resources)\n-- `kubectl get xxx`: get the list of objects of type `xxx`. See also the [tips section](#tips-with-kubectl-get)\n-- `kubectl explain xxx`: get a description of what the `xxx` object type is.\n-- `kubectl logs pod/yyy`: show the logs of the pod `yyy`\n-- `kubectl exec pod/yyy -it sh`: open a shell on the pod `yyy`. More here: https://kubernetes.io/docs/reference/kubectl/cheatsheet/#interacting-with-running-pods and here: https://kubernetes.io/docs/reference/kubectl/cheatsheet/#interacting-with-deployments-and-services\n-- `kubectl describe xxx/yyy`: show the details of the object `yyy` of type `xxx`. In particular, look at the `Events` section at the end, to debug what occurs to the object.\n- ```\n- Type Reason Age From Message\n- ---- ------ ---- ---- -------\n- Warning Unhealthy 28m (x2730 over 17h) kubelet Readiness probe failed: dial tcp 10.12.43.223:80: connect: connection refused\n- Normal Pulled 8m1s (x301 over 17h) kubelet Container image \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-59db084\" already present on machine\n- Warning BackOff 3m3s (x3643 over 17h) kubelet Back-off restarting failed container\n- ```\n-- `kubectl rollout restart deploy/yyy`: recreate the pods of the deploy `yyy`\n-- `kubectl scale --replicas=5 deploy/yyy`: change (up or down, 0 is also valid) the number of replicas of the deploy `yyy`\n-\n-### Tips with kubectl get\n-\n-The `-o` option of `kubectl get xxx`, where `xxx` is the object type (`namespace`, `pod`, `deploy`...), allows to [format the output](https://kubernetes.io/docs/reference/kubectl/cheatsheet/#formatting-output):\n-\n-- without the option `-o`: a table with a basic list of attributes and one line per object\n-- `-o wide`: a table with an extended list of attributes and one line per object\n-- `-o json`: a JSON object with the complete list of the objects and their (nested) attributes. Pipe into [`fx`](https://github.com/antonmedv/fx), `less`, `grep` or [`jq`](https://stedolan.github.io/jq/) to explore or extract info.\n-- `-o yaml`: the same as JSON, but in YAML format\n-\n-You can filter to get the info only for one object by adding its name as an argument, eg:\n-\n-- list of namespaces:\n-\n- ```\n- kubectl get namespace -o json\n- ```\n-\n-- only the `datasets-server` namespace:\n-\n- ```\n- kubectl get namespace datasets-server -o json\n- ```\n-\n-You can also filter by [label](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/):\n-\n-- get the namespace with the name `datasets-server` (not very interesting):\n-\n- ```\n- kubectl get namespace -l \"kubernetes.io/metadata.name\"==datasets-server\n- ```\n-\n-- get the pods of the `datasets-server-prod-api` application (note that `app` is a custom label specified in the Helm templates):\n-\n- ```\n- kubectl get pod -l app==datasets-server-prod-api --namespace datasets-server\n- ```\n-\n-Use the `-w` option if you want to \"watch\" the values in real time.\n-\n-Also note that every object type can be written in singular or plural, and also possibly in a short name (see `kubectl api-resources`), eg the following are equivalent\n-\n-```\n-kubectl get namespace\n-kubectl get namespaces\n-kubectl get ns\n-```\n-\n-More here: https://kubernetes.io/docs/reference/kubectl/cheatsheet/#viewing-finding-resources\n-\n-## Other tips\n-\n-Make your containerized applications listen to `0.0.0.0`, not `localhost`.\n-\n-## Namespaces\n-\n-Get the list of [namespaces](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/) of the current cluster (`hub-ephemeral`)):\n-\n-```\n-$ kubectl get namespace\n-NAME STATUS AGE\n-dataset-server Active 26h\n-...\n-```\n-\n-## Context\n-\n-Contexts are useful to set the default namespace, user and cluster we are working on (see https://kubernetes.io/docs/tasks/access-application-cluster/configure-access-multiple-clusters/).\n-\n-We can create a local context called `hub-prod-with-tb` as:\n-\n-```\n-$ kubectl config set-context \\\n- --cluster=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \\\n- --user=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \\\n- --namespace=datasets-server \\\n- hub-prod-with-tb\n-Context \"hub-prod-with-tb\" created.\n-```\n-\n-or\n-\n-```\n-$ kubectl config set-context \\\n- --cluster=arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral \\\n- --user=arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral \\\n- --namespace=datasets-server \\\n- hub-ephemeral-with-tb\n-Context \"hub-ephemeral-with-tb\" created.\n-```\n-\n-Another way, seen before, is to use:\n-\n-```shell\n-aws eks update-kubeconfig --name \"hub-prod\" --alias \"hub-prod-with-tb\" --region us-east-1 --profile=tb\n-aws eks update-kubeconfig --name \"hub-ephemeral\" --alias \"hub-ephemeral-with-tb\" --region us-east-1 --profile=tb\n-```\n-\n-We set it as the current context with:\n-\n-```\n-$ kubectl config use-context hub-ephemeral-with-tb\n-\n-Switched to context \"hub-ephemeral-with-tb\".\n-```\n-\n-If we list the contexts, we see that it is selected:\n-\n-```\n-$ kubectl config get-contexts\n-CURRENT NAME CLUSTER AUTHINFO NAMESPACE\n-* hub-ephemeral-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral datasets-server\n- hub-prod-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod datasets-server\n-```\n-\n-Note that contexts are a help for the developer to get quickly in the correct configuration. It's not stored in the cluster.\n-\n-You might be interested in the `kubectx` and `kubens` tools (see https://github.com/ahmetb/kubectx) if you want to switch more easily between namespaces and contexts.\n-\n-## Secrets\n-\n-The HF token must be set manually in a secret (see https://kubernetes.io/docs/tasks/configmap-secret/managing-secret-using-config-file/).\n-\n-First, convert the secret to base64:\n-\n-```\n-# Ask the Hub administrators to get an HF App token\n-$ echo -n 'hf_app_xxxx' | base64\n-yyyyy\n-```\n-\n-Then paste it inside a secret configuration:\n-\n-```\n-$ vi secret.yaml\n-```\n-\n-```yaml\n-apiVersion: v1\n-kind: Secret\n-metadata:\n- name: datasets-server-hf-token\n-type: Opaque\n-data:\n- HF_TOKEN: yyyyy\n-```\n-\n-Finally create the secret:\n-\n-```\n-kubectl apply -f ./secret.yaml\n-```\n-\n-Alternatively, we can generate the secret with:\n-\n-```shell\n-kubectl create secret generic datasets-server-hf-token --from-literal=HF_TOKEN='hf_app_xxxx'\n-```\ndiff --git a/docs_to_notion/tools.md b/docs_to_notion/tools.md\ndeleted file mode 100644\nindex 2f9f2c71..00000000\n--- a/docs_to_notion/tools.md\n+++ /dev/null\n@@ -1,46 +0,0 @@\n-## Tools\n-\n-To work on the infrastructure, various CLI tools are required or recommended.\n-\n-### aws\n-\n-`aws` is the CLI for the AWS services. See https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html to install it.\n-\n-You will mainly use:\n-\n-- `aws configure sso` to login. See [authentication.md](./authentication.md).\n-- `aws ecr` to list, pull, push the docker images to the ECR repository. See [docker.md](./docker.md).\n-- `aws eks` to inspect the Kubernetes clusters, and setup `kubectl`. See [kubernetes.md](./kubernetes.md#clusters).\n-\n-### kubectl\n-\n-`kubectl` is the Kubernetes CLI. See https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/ to install it on Linux.\n-\n-To use it, you have to configure it to use a specific cluster using `aws eks`. See [the \"clusters\" section in kube/ README](./kubernetes.md#clusters).\n-\n-Once installed, you can:\n-\n-- add [autocompletion](https://kubernetes.io/docs/reference/kubectl/cheatsheet/#kubectl-autocomplete)\n-- create an [alias](https://www.google.com/search?q=persist+alias+linux) to `k`: `alias k=\"kubectl\"`\n-- install [kubectx and kubens](https://github.com/ahmetb/kubectx) to switch easily between [contexts](./kubernetes.md#context) and [namespaces](./kubernetes.md#namespaces)\n-- install [fzf](https://github.com/junegunn/fzf) and [kube-fzf](https://github.com/thecasualcoder/kube-fzf): command-line fuzzy searching of Kubernetes Pods\n-- install [kubelens](https://github.com/kubelens/kubelens): web application to look at the objects\n-\n-### helm\n-\n-Helm is a package manager for Kubernetes, and installs a [chart](https://helm.sh/docs/topics/charts/) (all of the resource definitions necessary to run an application, tool, or service inside of a Kubernetes cluster) into Kubernetes.\n-\n-See https://helm.sh/docs/intro/install/ to install the `helm` CLI.\n-\n-Once installed, you can:\n-\n-- add [autocompletion](https://helm.sh/docs/helm/helm_completion/#see-also)\n-- install [helm-diff](https://github.com/databus23/helm-diff): a helm plugin that shows a diff explaining what a helm upgrade would change.\n-\n-### make\n-\n-Install `make` to use the [Makefile](../charts/datasets-server/Makefile) to deploy to the Kubernetes cluster:\n-\n-```\n-sudo apt install make\n-```"}}},{"rowIdx":1683,"cells":{"hash":{"kind":"string","value":"b136f8f420479c8dabb90067705688bb47c48450"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-29T14:50:51","string":"2022-07-29T14:50:51"},"subject":{"kind":"string","value":"Add error code (#482)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml\nindex 3811752e..65b2f48e 100644\n--- a/.github/workflows/_e2e_tests.yml\n+++ b/.github/workflows/_e2e_tests.yml\n@@ -68,0 +69 @@ jobs:\n+ ROWS_MAX_NUMBER: 4\n@@ -82,0 +84,2 @@ jobs:\n+ env:\n+ ROWS_MAX_NUMBER: 4\n@@ -84 +87 @@ jobs:\n- poetry run python -m pytest -x tests\n+ poetry run python -m pytest -vv -x tests\ndiff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml\nindex 5eda27b3..07470410 100644\n--- a/.github/workflows/e2e.yml\n+++ b/.github/workflows/e2e.yml\n@@ -7,0 +8 @@ on:\n+ - 'chart/static-files/openapi.json'\ndiff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex f54d39e4..49f5a224 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -3,2 +3,2 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-abd00fe\",\n- \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-640cc19\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a0a031b\",\n+ \"api\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f8179b9\",\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b\"\ndiff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 369b34ef..11382739 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -33,0 +34,6 @@\n+ },\n+ \"X-Error-Code\": {\n+ \"description\": \"A string that identifies the underlying error.\",\n+ \"schema\": { \"type\": \"string\" },\n+ \"example\": \"DatasetNotFoundError\",\n+ \"required\": true\n@@ -67,0 +74,21 @@\n+ \"CustomError\": {\n+ \"type\": \"object\",\n+ \"required\": [\"error\"],\n+ \"properties\": {\n+ \"error\": {\n+ \"type\": \"string\"\n+ },\n+ \"cause_exception\": {\n+ \"type\": \"string\"\n+ },\n+ \"cause_message\": {\n+ \"type\": \"string\"\n+ },\n+ \"cause_traceback\": {\n+ \"type\": \"array\",\n+ \"items\": {\n+ \"type\": \"string\"\n+ }\n+ }\n+ }\n+ },\n@@ -149 +176,8 @@\n- \"required\": [\"dataset\", \"config\", \"split\", \"idx\", \"name\", \"type\"],\n+ \"required\": [\n+ \"dataset\",\n+ \"config\",\n+ \"split\",\n+ \"feature_idx\",\n+ \"name\",\n+ \"type\"\n+ ],\n@@ -160 +194 @@\n- \"idx\": {\n+ \"feature_idx\": {\n@@ -714,0 +749,9 @@\n+ },\n+ \"IsValidResponse\": {\n+ \"type\": \"object\",\n+ \"required\": [\"valid\"],\n+ \"properties\": {\n+ \"valid\": {\n+ \"type\": \"boolean\"\n+ }\n+ }\n@@ -1702 +1745 @@\n- \"summary\": \" Valid datasets\",\n+ \"summary\": \"Valid datasets\",\n@@ -1742,0 +1786,119 @@\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Unexpected error.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"/is-valid\": {\n+ \"get\": {\n+ \"summary\": \"Check if a dataset is valid (experimental)\",\n+ \"description\": \"Check if a dataset works without an error (for /splits and /rows).\",\n+ \"externalDocs\": {\n+ \"description\": \"See Valid datasets (Hub docs)\",\n+ \"url\": \"https://huggingface.co/docs/datasets-server/valid\"\n+ },\n+ \"operationId\": \"isValidDataset\",\n+ \"parameters\": [\n+ {\n+ \"name\": \"dataset\",\n+ \"in\": \"query\",\n+ \"description\": \"The identifier of the dataset on the Hub.\",\n+ \"required\": true,\n+ \"schema\": { \"type\": \"string\" },\n+ \"examples\": {\n+ \"glue\": { \"summary\": \"a canonical dataset\", \"value\": \"glue\" },\n+ \"Helsinki-NLP/tatoeba_mt\": {\n+ \"summary\": \"a namespaced dataset\",\n+ \"value\": \"Helsinki-NLP/tatoeba_mt\"\n+ }\n+ }\n+ }\n+ ],\n+ \"responses\": {\n+ \"200\": {\n+ \"description\": \"The valid datasets.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/IsValidResponse\"\n+ },\n+ \"examples\": {\n+ \"valid\": {\n+ \"summary\": \"valid dataset\",\n+ \"value\": {\n+ \"valid\": true\n+ }\n+ },\n+ \"invalid\": {\n+ \"summary\": \"invalid dataset\",\n+ \"value\": {\n+ \"valid\": false\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"internal\": {\n+ \"summary\": \"internal error\",\n+ \"value\": {\n+ \"error\": \"Unexpected error.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n@@ -1792,3 +1954,3 @@\n- \"dataset\": \"duorc\",\n- \"config\": \"SelfRC\",\n- \"split\": \"train\",\n+ \"dataset_name\": \"duorc\",\n+ \"config_name\": \"SelfRC\",\n+ \"split_name\": \"train\",\n@@ -1799,3 +1961,3 @@\n- \"dataset\": \"duorc\",\n- \"config\": \"SelfRC\",\n- \"split\": \"validation\",\n+ \"dataset_name\": \"duorc\",\n+ \"config_name\": \"SelfRC\",\n+ \"split_name\": \"validation\",\n@@ -1806,3 +1968,3 @@\n- \"dataset\": \"duorc\",\n- \"config\": \"SelfRC\",\n- \"split\": \"test\",\n+ \"dataset_name\": \"duorc\",\n+ \"config_name\": \"SelfRC\",\n+ \"split_name\": \"test\",\n@@ -1813,3 +1975,3 @@\n- \"dataset\": \"duorc\",\n- \"config\": \"ParaphraseRC\",\n- \"split\": \"train\",\n+ \"dataset_name\": \"duorc\",\n+ \"config_name\": \"ParaphraseRC\",\n+ \"split_name\": \"train\",\n@@ -1820,3 +1982,3 @@\n- \"dataset\": \"duorc\",\n- \"config\": \"ParaphraseRC\",\n- \"split\": \"validation\",\n+ \"dataset_name\": \"duorc\",\n+ \"config_name\": \"ParaphraseRC\",\n+ \"split_name\": \"validation\",\n@@ -1827,3 +1989,3 @@\n- \"dataset\": \"duorc\",\n- \"config\": \"ParaphraseRC\",\n- \"split\": \"test\",\n+ \"dataset_name\": \"duorc\",\n+ \"config_name\": \"ParaphraseRC\",\n+ \"split_name\": \"test\",\n@@ -1841,3 +2003,3 @@\n- \"dataset\": \"emotion\",\n- \"config\": \"default\",\n- \"split\": \"train\",\n+ \"dataset_name\": \"emotion\",\n+ \"config_name\": \"default\",\n+ \"split_name\": \"train\",\n@@ -1848,3 +2010,3 @@\n- \"dataset\": \"emotion\",\n- \"config\": \"default\",\n- \"split\": \"validation\",\n+ \"dataset_name\": \"emotion\",\n+ \"config_name\": \"default\",\n+ \"split_name\": \"validation\",\n@@ -1855,3 +2017,3 @@\n- \"dataset\": \"emotion\",\n- \"config\": \"default\",\n- \"split\": \"test\",\n+ \"dataset_name\": \"emotion\",\n+ \"config_name\": \"default\",\n+ \"split_name\": \"test\",\n@@ -1868,2 +2030,2 @@\n- \"400\": {\n- \"description\": \"The dataset has some issue that prevents extracting the list of splits.
The error response should give insights to help fix the issue.
The client should not retry the request, because the response will not change until the dataset is fixed.\",\n+ \"404\": {\n+ \"description\": \"If the repository to download from cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.\",\n@@ -1875,0 +2038,3 @@\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n@@ -1881 +2046 @@\n- \"$ref\": \"#/components/schemas/Status400ErrorContent\"\n+ \"$ref\": \"#/components/schemas/CustomError\"\n@@ -1884 +2049,67 @@\n- \"TypeError\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist.\",\n+ \"value\": {\n+ \"error\": \"Not found.\"\n+ }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private.\",\n+ \"value\": {\n+ \"error\": \"Not found.\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"422\": {\n+ \"description\": \"The `dataset` parameter has not been provided.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"missing-parameter\": {\n+ \"summary\": \"The dataset parameter is missing.\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ },\n+ \"empty-parameter\": {\n+ \"summary\": \"The dataset parameter is empty (?dataset=).\",\n+ \"value\": { \"error\": \"Parameter 'dataset' is required\" }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed, the response still hasn't been generated (the process is asynchronous), or the response couldn't be generated successfully due to an error in the dataset itself. The client can retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software or in the dataset, and should be reported.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"SplitsNotFoundError\": {\n@@ -1893,3 +2124 @@\n- \" File \\\"/tmp/modules-cache/datasets_modules/datasets/timit_asr/43f9448dd5db58e95ee48a277f466481b151f112ea53e27f8173784da9254fb2/timit_asr.py\\\", line 117, in _split_generators\\n data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))\\n\",\n- \" File \\\"/usr/local/lib/python3.9/posixpath.py\\\", line 231, in expanduser\\n path = os.fspath(path)\\n\",\n- \"TypeError: expected str, bytes or os.PathLike object, not NoneType\\n\",\n+ \"TypeError: _split_generators() missing 1 required positional argument: 'pipeline'\\n\",\n@@ -1898,2 +2127,3 @@\n- \" File \\\"/src/services/worker/src/worker/models/dataset.py\\\", line 15, in get_dataset_split_full_names\\n return [\\n\",\n- \" File \\\"/src/services/worker/src/worker/models/dataset.py\\\", line 18, in \\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 74, in get_splits_response\\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 35, in get_dataset_split_full_names\\n return [\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 38, in \\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\\n\",\n@@ -1914 +2144,2 @@\n- \" File \\\"/src/services/worker/src/worker/models/dataset.py\\\", line 17, in get_dataset_split_full_names\\n for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 74, in get_splits_response\\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/splits.py\\\", line 37, in get_dataset_split_full_names\\n for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\\n\",\n@@ -1916 +2147 @@\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\\\", line 1242, in dataset_module_factory\\n raise FileNotFoundError(\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\\\", line 1243, in dataset_module_factory\\n raise FileNotFoundError(\\n\",\n@@ -1920,21 +2151 @@\n- }\n- }\n- }\n- }\n- },\n- \"500\": {\n- \"description\": \"The server encountered an error, or the response still hasn't been generated (the process is asynchronous). The client should retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software and should be reported.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/Status500ErrorContent\"\n- },\n- \"examples\": {\n+ },\n@@ -2040 +2251 @@\n- \"cola\": {\n+ \"imdb\": {\n@@ -2045,2 +2256,2 @@\n- \"dataset\": \"glue\",\n- \"config\": \"cola\",\n+ \"dataset\": \"imdb\",\n+ \"config\": \"plain_text\",\n@@ -2048,2 +2259,2 @@\n- \"idx\": 0,\n- \"name\": \"sentence\",\n+ \"feature_idx\": 0,\n+ \"name\": \"text\",\n@@ -2057,2 +2268,2 @@\n- \"dataset\": \"glue\",\n- \"config\": \"cola\",\n+ \"dataset\": \"imdb\",\n+ \"config\": \"plain_text\",\n@@ -2060 +2271 @@\n- \"idx\": 1,\n+ \"feature_idx\": 1,\n@@ -2064 +2275 @@\n- \"names\": [\"unacceptable\", \"acceptable\"],\n+ \"names\": [\"neg\", \"pos\"],\n@@ -2068,12 +2278,0 @@\n- },\n- {\n- \"dataset\": \"glue\",\n- \"config\": \"cola\",\n- \"split\": \"train\",\n- \"idx\": 2,\n- \"name\": \"idx\",\n- \"type\": {\n- \"dtype\": \"int32\",\n- \"id\": null,\n- \"_type\": \"Value\"\n- }\n@@ -2084,2 +2283,2 @@\n- \"dataset\": \"glue\",\n- \"config\": \"cola\",\n+ \"dataset\": \"imdb\",\n+ \"config\": \"plain_text\",\n@@ -2089,3 +2288,2 @@\n- \"sentence\": \"Our friends won't buy this analysis, let alone the next one we propose.\",\n- \"label\": 1,\n- \"idx\": 0\n+ \"text\": \"I rented I AM CURIOUS-YELLOW from my video store because of all the controversy that surrounded it when it was first released in 1967. I also heard that at first it was seized by U.S. customs if it ever tried to enter this country, therefore being a fan of films considered \\\"controversial\\\" I really had to see this for myself.

The plot is centered around a young Swedish drama student named Lena who wants to learn everything she can about life. In particular she wants to focus her attentions to making some sort of documentary on what the average Swede thought about certain political issues such as the Vietnam War and race issues in the United States. In between asking politicians and ordinary denizens of Stockholm about their opinions on politics, she has sex with her drama teacher, classmates, and married men.

What kills me about I AM CURIOUS-YELLOW is that 40 years ago, this was considered pornographic. Really, the sex and nudity scenes are few and far between, even then it's not shot like some cheaply made porno. While my countrymen mind find it shocking, in reality sex and nudity are a major staple in Swedish cinema. Even Ingmar Bergman, arguably their answer to good old boy John Ford, had sex scenes in his films.

I do commend the filmmakers for the fact that any sex shown in the film is shown for artistic purposes rather than just to shock people and make money to be shown in pornographic theaters in America. I AM CURIOUS-YELLOW is a good film for anyone wanting to study the meat and potatoes (no pun intended) of Swedish cinema. But really, this film doesn't have much of a plot.\",\n+ \"label\": 0\n@@ -2096,2 +2294,2 @@\n- \"dataset\": \"glue\",\n- \"config\": \"cola\",\n+ \"dataset\": \"imdb\",\n+ \"config\": \"plain_text\",\n@@ -2101,3 +2299,2 @@\n- \"sentence\": \"One more pseudo generalization and I'm giving up.\",\n- \"label\": 1,\n- \"idx\": 1\n+ \"text\": \"\\\"I Am Curious: Yellow\\\" is a risible and pretentious steaming pile. It doesn't matter what one's political views are because this film can hardly be taken seriously on any level. As for the claim that frontal male nudity is an automatic NC-17, that isn't true. I've seen R-rated films with male nudity. Granted, they only offer some fleeting views, but where are the R-rated films with gaping vulvas and flapping labia? Nowhere, because they don't exist. The same goes for those crappy cable shows: schlongs swinging in the breeze but not a clitoris in sight. And those pretentious indie movies like The Brown Bunny, in which we're treated to the site of Vincent Gallo's throbbing johnson, but not a trace of pink visible on Chloe Sevigny. Before crying (or implying) \\\"double-standard\\\" in matters of nudity, the mentally obtuse should take into account one unavoidably obvious anatomical difference between men and women: there are no genitals on display when actresses appears nude, and the same cannot be said for a man. In fact, you generally won't see female genitals in an American film in anything short of porn or explicit erotica. This alleged double-standard is less a double standard than an admittedly depressing ability to come to terms culturally with the insides of women's bodies.\",\n+ \"label\": 0\n@@ -2108,2 +2305,2 @@\n- \"dataset\": \"glue\",\n- \"config\": \"cola\",\n+ \"dataset\": \"imdb\",\n+ \"config\": \"plain_text\",\n@@ -2113,3 +2310,2 @@\n- \"sentence\": \"One more pseudo generalization or I'm giving up.\",\n- \"label\": 1,\n- \"idx\": 2\n+ \"text\": \"If only to avoid making this type of film in the future. This film is interesting as an experiment but tells no cogent story.

One might feel virtuous for sitting thru it because it touches on so many IMPORTANT issues but it does so without any discernable motive. The viewer comes away with no new perspectives (unless one comes up with one while one's mind wanders, as it will invariably do during this pointless film).

One might better spend one's time staring out a window at a tree growing.

\",\n+ \"label\": 0\n@@ -2120,2 +2316,2 @@\n- \"dataset\": \"glue\",\n- \"config\": \"cola\",\n+ \"dataset\": \"imdb\",\n+ \"config\": \"plain_text\",\n@@ -2125,3 +2321,2 @@\n- \"sentence\": \"The more we study verbs, the crazier they get.\",\n- \"label\": 1,\n- \"idx\": 3\n+ \"text\": \"This film was probably inspired by Godard's Masculin, féminin and I urge you to see that film instead.

The film has two strong elements and those are, (1) the realistic acting (2) the impressive, undeservedly good, photo. Apart from that, what strikes me most is the endless stream of silliness. Lena Nyman has to be most annoying actress in the world. She acts so stupid and with all the nudity in this film,...it's unattractive. Comparing to Godard's film, intellectuality has been replaced with stupidity. Without going too far on this subject, I would say that follows from the difference in ideals between the French and the Swedish society.

A movie of its time, and place. 2/10.\",\n+ \"label\": 0\n@@ -2142 +2337 @@\n- \"idx\": 0,\n+ \"feature_idx\": 0,\n@@ -2154 +2349 @@\n- \"idx\": 1,\n+ \"feature_idx\": 1,\n@@ -2171 +2366 @@\n- \"idx\": 2,\n+ \"feature_idx\": 2,\n@@ -2188 +2383 @@\n- \"idx\": 3,\n+ \"feature_idx\": 3,\n@@ -2210 +2405 @@\n- \"idx\": 4,\n+ \"feature_idx\": 4,\n@@ -2275,84 +2469,0 @@\n- },\n- {\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n- \"row_idx\": 4,\n- \"row\": {\n- \"start\": \"2016-07-01T00:00:00\",\n- \"target\": \"[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039\",\n- \"feat_static_cat\": [0],\n- \"feat_dynamic_real\": \"[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611\",\n- \"item_id\": \"OT\"\n- },\n- \"truncated_cells\": [\"target\", \"feat_dynamic_real\"]\n- },\n- {\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n- \"row_idx\": 5,\n- \"row\": {\n- \"start\": \"2016-07-01T00:00:00\",\n- \"target\": \"[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039\",\n- \"feat_static_cat\": [0],\n- \"feat_dynamic_real\": \"[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611\",\n- \"item_id\": \"OT\"\n- },\n- \"truncated_cells\": [\"target\", \"feat_dynamic_real\"]\n- },\n- {\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n- \"row_idx\": 6,\n- \"row\": {\n- \"start\": \"2016-07-01T00:00:00\",\n- \"target\": \"[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039\",\n- \"feat_static_cat\": [0],\n- \"feat_dynamic_real\": \"[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611\",\n- \"item_id\": \"OT\"\n- },\n- \"truncated_cells\": [\"target\", \"feat_dynamic_real\"]\n- },\n- {\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n- \"row_idx\": 7,\n- \"row\": {\n- \"start\": \"2016-07-01T00:00:00\",\n- \"target\": \"[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039\",\n- \"feat_static_cat\": [0],\n- \"feat_dynamic_real\": \"[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611\",\n- \"item_id\": \"OT\"\n- },\n- \"truncated_cells\": [\"target\", \"feat_dynamic_real\"]\n- },\n- {\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n- \"row_idx\": 8,\n- \"row\": {\n- \"start\": \"2016-07-01T00:00:00\",\n- \"target\": \"[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039\",\n- \"feat_static_cat\": [0],\n- \"feat_dynamic_real\": \"[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611\",\n- \"item_id\": \"OT\"\n- },\n- \"truncated_cells\": [\"target\", \"feat_dynamic_real\"]\n- },\n- {\n- \"dataset\": \"ett\",\n- \"config\": \"m2\",\n- \"split\": \"test\",\n- \"row_idx\": 9,\n- \"row\": {\n- \"start\": \"2016-07-01T00:00:00\",\n- \"target\": \"[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039\",\n- \"feat_static_cat\": [0],\n- \"feat_dynamic_real\": \"[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611\",\n- \"item_id\": \"OT\"\n- },\n- \"truncated_cells\": [\"target\", \"feat_dynamic_real\"]\n@@ -2371 +2482 @@\n- \"idx\": 0,\n+ \"feature_idx\": 0,\n@@ -2383 +2494 @@\n- \"idx\": 1,\n+ \"feature_idx\": 1,\n@@ -2399,2 +2510,2 @@\n- \"imageA\": \"https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageA/image.jpg\",\n- \"imageB\": \"https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageB/image.jpg\"\n+ \"imageA\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageA/image.jpg\",\n+ \"imageB\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageB/image.jpg\"\n@@ -2410,2 +2521,2 @@\n- \"imageA\": \"https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageA/image.jpg\",\n- \"imageB\": \"https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageB/image.jpg\"\n+ \"imageA\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageA/image.jpg\",\n+ \"imageB\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageB/image.jpg\"\n@@ -2421,2 +2532,13 @@\n- \"imageA\": \"https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageA/image.jpg\",\n- \"imageB\": \"https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageB/image.jpg\"\n+ \"imageA\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageA/image.jpg\",\n+ \"imageB\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageB/image.jpg\"\n+ },\n+ \"truncated_cells\": []\n+ },\n+ {\n+ \"dataset\": \"huggan/horse2zebra\",\n+ \"config\": \"huggan--horse2zebra-aligned\",\n+ \"split\": \"train\",\n+ \"row_idx\": 3,\n+ \"row\": {\n+ \"imageA\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageA/image.jpg\",\n+ \"imageB\": \"https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageB/image.jpg\"\n@@ -2437 +2559 @@\n- \"idx\": 0,\n+ \"feature_idx\": 0,\n@@ -2449 +2571 @@\n- \"idx\": 1,\n+ \"feature_idx\": 1,\n@@ -2461 +2583 @@\n- \"idx\": 2,\n+ \"feature_idx\": 2,\n@@ -2475 +2597 @@\n- \"idx\": 3,\n+ \"feature_idx\": 3,\n@@ -2487 +2609 @@\n- \"idx\": 4,\n+ \"feature_idx\": 4,\n@@ -2499 +2621 @@\n- \"idx\": 5,\n+ \"feature_idx\": 5,\n@@ -2511 +2633 @@\n- \"idx\": 6,\n+ \"feature_idx\": 6,\n@@ -2523 +2645 @@\n- \"idx\": 7,\n+ \"feature_idx\": 7,\n@@ -2535 +2657 @@\n- \"idx\": 8,\n+ \"feature_idx\": 8,\n@@ -2547 +2669 @@\n- \"idx\": 9,\n+ \"feature_idx\": 9,\n@@ -2559 +2681 @@\n- \"idx\": 10,\n+ \"feature_idx\": 10,\n@@ -2663,2 +2785,2 @@\n- \"400\": {\n- \"description\": \"The dataset has some issue that prevents extracting the list of features, or the list of rows.
The error response should give insights to help fix the issue.
The client should not retry the request, because the response will not change until the dataset is fixed.\",\n+ \"404\": {\n+ \"description\": \"If the repository to download from cannot be found, or if the config or split does not exist in the dataset. Note that this may be because the dataset doesn't exist, or because it is set to `private` and you do not have access.\",\n@@ -2670,0 +2793,3 @@\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n@@ -2676 +2801,99 @@\n- \"$ref\": \"#/components/schemas/Status400ErrorContent\"\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"inexistent-dataset\": {\n+ \"summary\": \"The dataset does not exist on the Hub.\",\n+ \"value\": { \"error\": \"Not found.\" }\n+ },\n+ \"private-dataset\": {\n+ \"summary\": \"The dataset is private.\",\n+ \"value\": { \"error\": \"Not found.\" }\n+ },\n+ \"inexistent-config\": {\n+ \"summary\": \"The config does not exist in the dataset.\",\n+ \"value\": { \"error\": \"Not found.\" }\n+ },\n+ \"inexistent-split\": {\n+ \"summary\": \"The soplit does not exist in the dataset.\",\n+ \"value\": { \"error\": \"Not found.\" }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"422\": {\n+ \"description\": \"Some of the `dataset`, `config`, or `split` parameters have not been provided or are invalid.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n+ },\n+ \"examples\": {\n+ \"missing-dataset\": {\n+ \"summary\": \"The dataset parameter is missing.\",\n+ \"value\": {\n+ \"error\": \"Parameters 'dataset', 'config' and 'split' are required\"\n+ }\n+ },\n+ \"missing-config\": {\n+ \"summary\": \"The config parameter is missing.\",\n+ \"value\": {\n+ \"error\": \"Parameters 'dataset', 'config' and 'split' are required\"\n+ }\n+ },\n+ \"missing-split\": {\n+ \"summary\": \"The split parameter is missing.\",\n+ \"value\": {\n+ \"error\": \"Parameters 'dataset', 'config' and 'split' are required\"\n+ }\n+ },\n+ \"empty-dataset\": {\n+ \"summary\": \"The dataset parameter is empty.\",\n+ \"value\": {\n+ \"error\": \"Parameters 'dataset', 'config' and 'split' are required\"\n+ }\n+ },\n+ \"empty-config\": {\n+ \"summary\": \"The config parameter is empty.\",\n+ \"value\": {\n+ \"error\": \"Parameters 'dataset', 'config' and 'split' are required\"\n+ }\n+ },\n+ \"empty-split\": {\n+ \"summary\": \"The split parameter is empty.\",\n+ \"value\": {\n+ \"error\": \"Parameters 'dataset', 'config' and 'split' are required\"\n+ }\n+ }\n+ }\n+ }\n+ }\n+ },\n+ \"500\": {\n+ \"description\": \"The server crashed, the response still hasn't been generated (the process is asynchronous), or the response couldn't be generated successfully due to an error in the dataset itself. The client can retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software or in the dataset, and should be reported.\",\n+ \"headers\": {\n+ \"Cache-Control\": {\n+ \"$ref\": \"#/components/headers/Cache-Control\"\n+ },\n+ \"Access-Control-Allow-Origin\": {\n+ \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n+ },\n+ \"X-Error-Code\": {\n+ \"$ref\": \"#/components/headers/X-Error-Code\"\n+ }\n+ },\n+ \"content\": {\n+ \"application/json\": {\n+ \"schema\": {\n+ \"$ref\": \"#/components/schemas/CustomError\"\n@@ -2687,3 +2910,3 @@\n- \" File \\\"/src/services/worker/src/worker/models/first_rows.py\\\", line 214, in get_first_rows\\n rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number)\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\\\", line 82, in decorator\\n return func(*args, **kwargs)\\n\",\n- \" File \\\"/src/services/worker/src/worker/models/row.py\\\", line 39, in get_rows\\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 345, in get_first_rows_response\\n rows = get_rows(\\n\",\n+ \" File \\\"/src/services/worker/src/worker/utils.py\\\", line 123, in decorator\\n return func(*args, **kwargs)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 80, in get_rows\\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\\n\",\n@@ -2693 +2916 @@\n- \" File \\\"/tmp/modules-cache/datasets_modules/datasets/ar_cov19/818d9b774f4b70542b6807e6ddb6db32c916aafeba4fbdcd228ec79d21edaeab/ar_cov19.py\\\", line 131, in _generate_examples\\n for fname in sorted(glob.glob(os.path.join(data_dir, \\\"ArCOV-19-master/dataset/all_tweets/2020-*\\\"))):\\n\",\n+ \" File \\\"/root/.cache/huggingface/modules/datasets_modules/datasets/ar_cov19/818d9b774f4b70542b6807e6ddb6db32c916aafeba4fbdcd228ec79d21edaeab/ar_cov19.py\\\", line 131, in _generate_examples\\n for fname in sorted(glob.glob(os.path.join(data_dir, \\\"ArCOV-19-master/dataset/all_tweets/2020-*\\\"))):\\n\",\n@@ -2695 +2918 @@\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 500, in xglob\\n fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 522, in xglob\\n fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)\\n\",\n@@ -2707,4 +2930,4 @@\n- \" File \\\"/src/services/worker/src/worker/models/first_rows.py\\\", line 221, in get_first_rows\\n rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number)\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\\\", line 82, in decorator\\n return func(*args, **kwargs)\\n\",\n- \" File \\\"/src/services/worker/src/worker/models/row.py\\\", line 27, in get_rows\\n dataset = load_dataset(\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\\\", line 1732, in load_dataset\\n builder_instance.download_and_prepare(\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 355, in get_first_rows_response\\n rows = get_rows(\\n\",\n+ \" File \\\"/src/services/worker/src/worker/utils.py\\\", line 123, in decorator\\n return func(*args, **kwargs)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 68, in get_rows\\n dataset = load_dataset(\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\\\", line 1746, in load_dataset\\n builder_instance.download_and_prepare(\\n\",\n@@ -2733,3 +2956,3 @@\n- \" File \\\"/src/services/worker/src/worker/models/first_rows.py\\\", line 214, in get_first_rows\\n rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number)\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\\\", line 82, in decorator\\n return func(*args, **kwargs)\\n\",\n- \" File \\\"/src/services/worker/src/worker/models/row.py\\\", line 39, in get_rows\\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 345, in get_first_rows_response\\n rows = get_rows(\\n\",\n+ \" File \\\"/src/services/worker/src/worker/utils.py\\\", line 123, in decorator\\n return func(*args, **kwargs)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 80, in get_rows\\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\\n\",\n@@ -2739,4 +2962,4 @@\n- \" File \\\"/tmp/modules-cache/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\\\", line 123, in _generate_examples\\n for path, f in files:\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 732, in __iter__\\n yield from self.generator(*self.args, **self.kwargs)\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 759, in _iter_from_urlpath\\n with xopen(urlpath, \\\"rb\\\", use_auth_token=use_auth_token) as f:\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 439, in xopen\\n file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()\\n\",\n+ \" File \\\"/root/.cache/huggingface/modules/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\\\", line 123, in _generate_examples\\n for path, f in files:\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 760, in __iter__\\n yield from self.generator(*self.args, **self.kwargs)\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 787, in _iter_from_urlpath\\n with xopen(urlpath, \\\"rb\\\", use_auth_token=use_auth_token) as f:\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\\\", line 453, in xopen\\n file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()\\n\",\n@@ -2754,4 +2977,4 @@\n- \" File \\\"/src/services/worker/src/worker/models/first_rows.py\\\", line 221, in get_first_rows\\n rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number)\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\\\", line 82, in decorator\\n return func(*args, **kwargs)\\n\",\n- \" File \\\"/src/services/worker/src/worker/models/row.py\\\", line 27, in get_rows\\n dataset = load_dataset(\\n\",\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\\\", line 1732, in load_dataset\\n builder_instance.download_and_prepare(\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 355, in get_first_rows_response\\n rows = get_rows(\\n\",\n+ \" File \\\"/src/services/worker/src/worker/utils.py\\\", line 123, in decorator\\n return func(*args, **kwargs)\\n\",\n+ \" File \\\"/src/services/worker/src/worker/responses/first_rows.py\\\", line 68, in get_rows\\n dataset = load_dataset(\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\\\", line 1746, in load_dataset\\n builder_instance.download_and_prepare(\\n\",\n@@ -2761 +2984 @@\n- \" File \\\"/tmp/modules-cache/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\\\", line 95, in _split_generators\\n archive = dl_manager.download(my_urls)\\n\",\n+ \" File \\\"/root/.cache/huggingface/modules/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\\\", line 95, in _split_generators\\n archive = dl_manager.download(my_urls)\\n\",\n@@ -2763 +2986 @@\n- \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py\\\", line 348, in map_nested\\n return function(data_struct)\\n\",\n+ \" File \\\"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py\\\", line 385, in map_nested\\n return function(data_struct)\\n\",\n@@ -2770,21 +2993 @@\n- }\n- }\n- }\n- }\n- },\n- \"500\": {\n- \"description\": \"The server encountered an error, or the response still hasn't been generated (the process is asynchronous). The client should retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software and should be reported.\",\n- \"headers\": {\n- \"Cache-Control\": {\n- \"$ref\": \"#/components/headers/Cache-Control\"\n- },\n- \"Access-Control-Allow-Origin\": {\n- \"$ref\": \"#/components/headers/Access-Control-Allow-Origin\"\n- }\n- },\n- \"content\": {\n- \"application/json\": {\n- \"schema\": {\n- \"$ref\": \"#/components/schemas/Status500ErrorContent\"\n- },\n- \"examples\": {\n+ },\ndiff --git a/e2e/Makefile b/e2e/Makefile\nindex c35079a0..60d82a73 100644\n--- a/e2e/Makefile\n+++ b/e2e/Makefile\n@@ -7,0 +8 @@ export TEST_MONGO_QUEUE_DATABASE := datasets_server_queue_test\n+export TEST_ROWS_MAX_NUMBER := 4\n@@ -19 +20 @@ e2e:\n-\tmake test\n+\tPYTEST_ARGS=-vv make test\ndiff --git a/e2e/tests/conftest.py b/e2e/tests/conftest.py\nnew file mode 100644\nindex 00000000..7684382d\n--- /dev/null\n+++ b/e2e/tests/conftest.py\n@@ -0,0 +1,11 @@\n+import pytest\n+\n+from .utils import URL, poll\n+\n+\n+@pytest.fixture(autouse=True, scope=\"session\")\n+def ensure_services_are_up() -> None:\n+ assert poll(f\"{URL}/\", expected_code=404).status_code == 404\n+ assert poll(f\"{URL}/healthcheck\").status_code == 200\n+ assert poll(f\"{URL}/admin/healthcheck\").status_code == 200\n+ # TODO: add endpoints to check the workers are up?\ndiff --git a/e2e/tests/test_api.py b/e2e/tests/test_api.py\ndeleted file mode 100644\nindex 188bf158..00000000\n--- a/e2e/tests/test_api.py\n+++ /dev/null\n@@ -1,247 +0,0 @@\n-import os\n-import time\n-\n-import requests\n-\n-SERVICE_REVERSE_PROXY_PORT = os.environ.get(\"SERVICE_REVERSE_PROXY_PORT\", \"8000\")\n-\n-URL = f\"http://localhost:{SERVICE_REVERSE_PROXY_PORT}\"\n-\n-\n-def poll_until_valid_response(\n- url: str, timeout: int = 15, interval: int = 1, error_field: str = \"error\"\n-) -> requests.Response:\n- retries = timeout // interval\n- should_retry = True\n- response = None\n- while retries > 0 and should_retry:\n- retries -= 1\n- time.sleep(interval)\n- response = requests.get(url)\n- if response.status_code == 400:\n- # special case for /splits and /rows. It should be removed once they are deprecated\n- # it was an error to return 400 if the client should retry\n- try:\n- should_retry = \"retry\" in response.json()[error_field].lower()\n- except Exception:\n- should_retry = False\n- else:\n- should_retry = response.status_code == 500\n- if response is None:\n- raise RuntimeError(\"no request has been done\")\n- return response\n-\n-\n-def poll_splits_until_dataset_process_has_finished(\n- dataset: str, endpoint: str = \"splits\", timeout: int = 15, interval: int = 1, error_field: str = \"error\"\n-) -> requests.Response:\n- return poll_until_valid_response(f\"{URL}/{endpoint}?dataset={dataset}\", timeout, interval, error_field)\n-\n-\n-def poll_rows_until_split_process_has_finished(\n- dataset: str,\n- config: str,\n- split: str,\n- endpoint: str = \"splits\",\n- timeout: int = 15,\n- interval: int = 1,\n- error_field: str = \"error\",\n-) -> requests.Response:\n- return poll_until_valid_response(\n- f\"{URL}/{endpoint}?dataset={dataset}&config={config}&split={split}\", timeout, interval, error_field\n- )\n-\n-\n-def test_healthcheck():\n- # this tests ensures the nginx reverse proxy and the api are up\n- response = poll_until_valid_response(f\"{URL}/healthcheck\", 15, 1)\n- assert response.status_code == 200\n- assert response.text == \"ok\"\n-\n-\n-def test_valid():\n- # this test ensures that the mongo db can be accessed by the api\n- response = poll_until_valid_response(f\"{URL}/valid\", 15, 1)\n- assert response.status_code == 200\n- # at this moment no dataset has been processed\n- assert response.json()[\"valid\"] == []\n-\n-\n-def test_get_dataset():\n- dataset = \"acronym_identification\"\n- config = \"default\"\n- split = \"train\"\n-\n- # ask for the dataset to be refreshed\n- response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n- assert response.status_code == 200\n-\n- # poll the /splits endpoint until we get something else than \"The dataset is being processed. Retry later.\"\n- response = poll_splits_until_dataset_process_has_finished(dataset, \"splits\", 60, error_field=\"message\")\n- assert response.status_code == 200\n-\n- # poll the /rows endpoint until we get something else than \"The split is being processed. Retry later.\"\n- response = poll_rows_until_split_process_has_finished(dataset, config, split, \"rows\", 60, error_field=\"message\")\n- assert response.status_code == 200\n- json = response.json()\n- assert \"rows\" in json\n- assert json[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\"\n-\n-\n-def test_get_dataset_next():\n- dataset = \"acronym_identification\"\n- config = \"default\"\n- split = \"train\"\n-\n- # ask for the dataset to be refreshed\n- response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n- assert response.status_code == 200\n-\n- # poll the /splits endpoint until we get something else than \"The dataset is being processed. Retry later.\"\n- response = poll_splits_until_dataset_process_has_finished(dataset, \"splits-next\", 60)\n- assert response.status_code == 200\n-\n- # poll the /rows endpoint until we get something else than \"The split is being processed. Retry later.\"\n- response = poll_rows_until_split_process_has_finished(dataset, config, split, \"first-rows\", 60)\n- assert response.status_code == 200\n- json = response.json()\n-\n- assert \"features\" in json\n- assert json[\"features\"][0][\"name\"] == \"id\"\n- assert json[\"features\"][0][\"type\"][\"_type\"] == \"Value\"\n- assert json[\"features\"][0][\"type\"][\"dtype\"] == \"string\"\n- assert json[\"features\"][2][\"name\"] == \"labels\"\n- assert json[\"features\"][2][\"type\"][\"_type\"] == \"Sequence\"\n- assert json[\"features\"][2][\"type\"][\"feature\"][\"_type\"] == \"ClassLabel\"\n- assert json[\"features\"][2][\"type\"][\"feature\"][\"num_classes\"] == 5\n- assert \"rows\" in json\n- assert json[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\"\n- assert type(json[\"rows\"][0][\"row\"][\"labels\"]) is list\n- assert len(json[\"rows\"][0][\"row\"][\"labels\"]) == 18\n- assert json[\"rows\"][0][\"row\"][\"labels\"][0] == 4\n-\n-\n-def test_bug_empty_split():\n- # see #185 and #177\n- # we get an error when:\n- # - the dataset has been processed and the splits have been created in the database\n- # - the splits have not been processed and are still in EMPTY status in the database\n- # - the dataset is processed again, and the splits are marked as STALE\n- # - they are thus returned with an empty content, instead of an error message\n- # (waiting for being processsed)\n- dataset = \"nielsr/CelebA-faces\"\n- config = \"nielsr--CelebA-faces\"\n- split = \"train\"\n-\n- # ask for the dataset to be refreshed\n- response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n- assert response.status_code == 200\n-\n- # poll the /splits endpoint until we get something else than \"The dataset is being processed. Retry later.\"\n- response = poll_splits_until_dataset_process_has_finished(dataset, \"splits\", 60)\n- assert response.status_code == 200\n-\n- # at this point the splits should have been created in the dataset, and still be EMPTY\n- url = f\"{URL}/rows?dataset={dataset}&config={config}&split={split}\"\n- response = requests.get(url)\n- assert response.status_code == 400\n- json = response.json()\n- assert json[\"message\"] == \"The split is being processed. Retry later.\"\n-\n- # ask again for the dataset to be refreshed\n- response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n- assert response.status_code == 200\n-\n- # at this moment, there is a concurrency race between the datasets worker and the splits worker\n- # but the dataset worker should finish before, because it's faster on this dataset\n- # With the bug, if we polled again /rows until we have something else than \"being processed\",\n- # we would have gotten a valid response, but with empty rows, which is incorrect\n- # Now: it gives a correct list of elements\n- response = poll_rows_until_split_process_has_finished(dataset, config, split, \"rows\", 60)\n- assert response.status_code == 200\n- json = response.json()\n- assert len(json[\"rows\"]) == 100\n-\n-\n-def test_valid_after_two_datasets_processed():\n- # this test ensures that the two datasets processed successfully are present in /valid\n- response = requests.get(f\"{URL}/valid\")\n- assert response.status_code == 200\n- # at this moment various datasets have been processed\n- assert response.json()[\"valid\"] == [\"acronym_identification\", \"nielsr/CelebA-faces\"]\n-\n-\n-# TODO: enable this test (not sure why it fails)\n-# def test_timestamp_column():\n-# # this test replicates the bug with the Timestamp values, https://github.com/huggingface/datasets/issues/4413\n-# dataset = \"ett\"\n-# config = \"h1\"\n-# split = \"train\"\n-# response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n-# assert response.status_code == 200\n-\n-# response = poll_splits_until_dataset_process_has_finished(dataset, \"splits\", 60)\n-# assert response.status_code == 200\n-\n-# response = poll_rows_until_split_process_has_finished(dataset, config, split, \"rows\", 60)\n-# assert response.status_code == 200\n-# json = response.json()\n-# TRUNCATED_TO_ONE_ROW = 1\n-# assert len(json[\"rows\"]) == TRUNCATED_TO_ONE_ROW\n-# assert json[\"rows\"][0][\"row\"][\"start\"] == 1467331200.0\n-# assert json[\"columns\"][0][\"column\"][\"type\"] == \"TIMESTAMP\"\n-# assert json[\"columns\"][0][\"column\"][\"unit\"] == \"s\"\n-# assert json[\"columns\"][0][\"column\"][\"tz\"] is None\n-\n-\n-def test_png_image():\n- # this test ensures that an image is saved as PNG if it cannot be saved as PNG\n- # https://github.com/huggingface/datasets-server/issues/191\n- dataset = \"wikimedia/wit_base\"\n- config = \"wikimedia--wit_base\"\n- split = \"train\"\n- response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n- assert response.status_code == 200\n-\n- response = poll_splits_until_dataset_process_has_finished(dataset, \"splits\", 60)\n- assert response.status_code == 200\n-\n- response = poll_rows_until_split_process_has_finished(dataset, config, split, \"rows\", 60 * 3)\n- assert response.status_code == 200\n- json = response.json()\n- assert json[\"columns\"][0][\"column\"][\"type\"] == \"RELATIVE_IMAGE_URL\"\n- assert (\n- json[\"rows\"][0][\"row\"][\"image\"] == \"assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg\"\n- )\n- assert (\n- json[\"rows\"][20][\"row\"][\"image\"] == \"assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png\"\n- )\n-\n-\n-def test_png_image_next():\n- # this test ensures that an image is saved as PNG if it cannot be saved as PNG\n- # https://github.com/huggingface/datasets-server/issues/191\n- dataset = \"wikimedia/wit_base\"\n- config = \"wikimedia--wit_base\"\n- split = \"train\"\n- response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n- assert response.status_code == 200\n-\n- response = poll_splits_until_dataset_process_has_finished(dataset, \"splits-next\", 60)\n- assert response.status_code == 200\n-\n- response = poll_rows_until_split_process_has_finished(dataset, config, split, \"first-rows\", 60 * 3)\n- assert response.status_code == 200\n- json = response.json()\n-\n- assert \"features\" in json\n- assert json[\"features\"][0][\"name\"] == \"image\"\n- assert json[\"features\"][0][\"type\"][\"_type\"] == \"Image\"\n- assert (\n- json[\"rows\"][0][\"row\"][\"image\"]\n- == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg\"\n- )\n- assert (\n- json[\"rows\"][20][\"row\"][\"image\"]\n- == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png\"\n- )\ndiff --git a/e2e/tests/test_first_rows.py b/e2e/tests/test_first_rows.py\nnew file mode 100644\nindex 00000000..99e5958b\n--- /dev/null\n+++ b/e2e/tests/test_first_rows.py\n@@ -0,0 +1,86 @@\n+import json\n+from typing import Any\n+\n+import pytest\n+import requests\n+\n+from .utils import (\n+ URL,\n+ get_openapi_body_example,\n+ poll,\n+ refresh_poll_splits_next,\n+ refresh_poll_splits_next_first_rows,\n+)\n+\n+\n+def prepare_json(response: requests.Response) -> Any:\n+ return json.loads(response.text.replace(URL, \"https://datasets-server.huggingface.co\"))\n+\n+\n+@pytest.mark.parametrize(\n+ \"status,name,dataset,config,split,error_code\",\n+ [\n+ (200, \"imdb\", \"imdb\", \"plain_text\", \"train\", None),\n+ (200, \"truncated\", \"ett\", \"m2\", \"test\", None),\n+ (200, \"image\", \"huggan/horse2zebra\", \"huggan--horse2zebra-aligned\", \"train\", None),\n+ # (200, \"audio\", \"mozilla-foundation/common_voice_9_0\", \"en\", \"train\", None),\n+ # ^ awfully long\n+ (404, \"inexistent-dataset\", \"severo/inexistent-dataset\", \"plain_text\", \"train\", \"FirstRowsResponseNotFound\"),\n+ (\n+ 404,\n+ \"private-dataset\",\n+ \"severo/dummy_private\",\n+ \"severo--embellishments\",\n+ \"train\",\n+ \"FirstRowsResponseNotFound\",\n+ ),\n+ (404, \"inexistent-config\", \"imdb\", \"inexistent-config\", \"train\", \"FirstRowsResponseNotFound\"),\n+ (404, \"inexistent-split\", \"imdb\", \"plain_text\", \"inexistent-split\", \"FirstRowsResponseNotFound\"),\n+ (422, \"missing-dataset\", None, \"plain_text\", \"train\", \"MissingRequiredParameter\"),\n+ (422, \"missing-config\", \"imdb\", None, \"train\", \"MissingRequiredParameter\"),\n+ (422, \"missing-split\", \"imdb\", \"plain_text\", None, \"MissingRequiredParameter\"),\n+ (422, \"empty-dataset\", \"\", \"plain_text\", \"train\", \"MissingRequiredParameter\"),\n+ (422, \"empty-config\", \"imdb\", \"\", \"train\", \"MissingRequiredParameter\"),\n+ (422, \"empty-split\", \"imdb\", \"plain_text\", \"\", \"MissingRequiredParameter\"),\n+ (500, \"NonMatchingCheckError\", \"ar_cov19\", \"ar_cov19\", \"train\", \"NormalRowsError\"),\n+ (500, \"FileNotFoundError\", \"atomic\", \"atomic\", \"train\", \"NormalRowsError\"),\n+ (500, \"not-ready\", \"anli\", \"plain_text\", \"train_r1\", \"FirstRowsResponseNotReady\"),\n+ # not tested: 'internal_error'\n+ # TODO:\n+ # \"SplitsNamesError\",\n+ # \"InfoError\",\n+ # \"FeaturesError\",\n+ # \"StreamingRowsError\",\n+ # \"RowsPostProcessingError\",\n+ ],\n+)\n+def test_first_rows(status: int, name: str, dataset: str, config: str, split: str, error_code: str):\n+ body = get_openapi_body_example(\"/first-rows\", status, name)\n+\n+ # the logic here is a bit convoluted, because we have no way to refresh a split, we have to refresh the whole\n+ # dataset and depend on the result of /splits-next\n+ if name.startswith(\"empty-\"):\n+ r_rows = poll(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\", error_field=\"error\")\n+ elif name.startswith(\"missing-\"):\n+ d = f\"dataset={dataset}\" if dataset is not None else \"\"\n+ c = f\"config={config}\" if config is not None else \"\"\n+ s = f\"split={split}\" if split is not None else \"\"\n+ params = \"&\".join([d, c, s])\n+ r_rows = poll(f\"{URL}/first-rows?{params}\", error_field=\"error\")\n+ elif name.startswith(\"inexistent-\") or name.startswith(\"private-\"):\n+ refresh_poll_splits_next(dataset)\n+ # no need to retry\n+ r_rows = requests.get(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\")\n+ elif name == \"not-ready\":\n+ refresh_poll_splits_next(dataset)\n+ # poll the endpoint before the worker had the chance to process it\n+ r_rows = requests.get(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\")\n+ else:\n+ _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split)\n+\n+ assert r_rows.status_code == status\n+ assert prepare_json(r_rows) == body\n+ if error_code is not None:\n+ assert r_rows.headers[\"X-Error-Code\"] == error_code\n+ else:\n+ assert \"X-Error-Code\" not in r_rows.headers\ndiff --git a/e2e/tests/test_healthcheck.py b/e2e/tests/test_healthcheck.py\nnew file mode 100644\nindex 00000000..b5731c7b\n--- /dev/null\n+++ b/e2e/tests/test_healthcheck.py\n@@ -0,0 +1,8 @@\n+from .utils import URL, poll\n+\n+\n+def test_healthcheck():\n+ # this tests ensures the nginx reverse proxy and the api are up\n+ response = poll(f\"{URL}/healthcheck\")\n+ assert response.status_code == 200\n+ assert response.text == \"ok\"\ndiff --git a/e2e/tests/test_splits_and_rows.py b/e2e/tests/test_splits_and_rows.py\nnew file mode 100644\nindex 00000000..63eb1467\n--- /dev/null\n+++ b/e2e/tests/test_splits_and_rows.py\n@@ -0,0 +1,101 @@\n+import requests\n+\n+from .utils import (\n+ ROWS_MAX_NUMBER,\n+ URL,\n+ poll_rows,\n+ poll_splits,\n+ post_refresh,\n+ refresh_poll_splits_rows,\n+)\n+\n+\n+def test_get_dataset():\n+ dataset = \"acronym_identification\"\n+ config = \"default\"\n+ split = \"train\"\n+\n+ r_splits, r_rows = refresh_poll_splits_rows(dataset, config, split)\n+ assert r_splits.json()[\"splits\"][0][\"split\"] == \"train\"\n+ assert r_rows.json()[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\"\n+\n+\n+# TODO: find a dataset that can be processed faster\n+def test_bug_empty_split():\n+ # see #185 and #177\n+ # we get an error when:\n+ # - the dataset has been processed and the splits have been created in the database\n+ # - the splits have not been processed and are still in EMPTY status in the database\n+ # - the dataset is processed again, and the splits are marked as STALE\n+ # - they are thus returned with an empty content, instead of an error message\n+ # (waiting for being processsed)\n+ dataset = \"nielsr/CelebA-faces\"\n+ config = \"nielsr--CelebA-faces\"\n+ split = \"train\"\n+\n+ # ask for the dataset to be refreshed\n+ response = post_refresh(dataset)\n+ assert response.status_code == 200\n+\n+ # poll the /splits endpoint until we get something else than \"The dataset is being processed. Retry later.\"\n+ response = poll_splits(dataset)\n+ assert response.status_code == 200\n+\n+ # at this point the splits should have been created in the dataset, and still be EMPTY\n+ url = f\"{URL}/rows?dataset={dataset}&config={config}&split={split}\"\n+ response = requests.get(url)\n+ assert response.status_code == 400\n+ json = response.json()\n+ assert json[\"message\"] == \"The split is being processed. Retry later.\"\n+\n+ # ask again for the dataset to be refreshed\n+ response = requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n+ assert response.status_code == 200\n+\n+ # at this moment, there is a concurrency race between the datasets worker and the splits worker\n+ # but the dataset worker should finish before, because it's faster on this dataset\n+ # With the bug, if we polled again /rows until we have something else than \"being processed\",\n+ # we would have gotten a valid response, but with empty rows, which is incorrect\n+ # Now: it gives a correct list of elements\n+ response = poll_rows(dataset, config, split)\n+ assert response.status_code == 200\n+ json = response.json()\n+ assert len(json[\"rows\"]) == ROWS_MAX_NUMBER\n+\n+\n+# TODO: enable again when we will have the same behavior with 4 rows (ROWS_MAX_NUMBER)\n+# TODO: find a dataset that can be processed faster\n+# def test_png_image():\n+# # this test ensures that an image is saved as PNG if it cannot be saved as PNG\n+# # https://github.com/huggingface/datasets-server/issues/191\n+# dataset = \"wikimedia/wit_base\"\n+# config = \"wikimedia--wit_base\"\n+# split = \"train\"\n+\n+# _, r_rows = refresh_poll_splits_rows(dataset, config, split)\n+\n+# json = r_rows.json()\n+# assert json[\"columns\"][0][\"column\"][\"type\"] == \"RELATIVE_IMAGE_URL\"\n+# assert (\n+# json[\"rows\"][0][\"row\"][\"image\"] == \"assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg\"\n+# )\n+# assert (\n+# json[\"rows\"][20][\"row\"][\"image\"] ==\n+# \"assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png\"\n+# )\n+\n+\n+# TODO: enable this test (not sure why it fails)\n+# def test_timestamp_column():\n+# # this test replicates the bug with the Timestamp values, https://github.com/huggingface/datasets/issues/4413\n+# dataset = \"ett\"\n+# config = \"h1\"\n+# split = \"train\"\n+# _, r_rows = refresh_poll_splits_rows(dataset, config, split)\n+# json = r_rows.json()\n+# TRUNCATED_TO_ONE_ROW = 1\n+# assert len(json[\"rows\"]) == TRUNCATED_TO_ONE_ROW\n+# assert json[\"rows\"][0][\"row\"][\"start\"] == 1467331200.0\n+# assert json[\"columns\"][0][\"column\"][\"type\"] == \"TIMESTAMP\"\n+# assert json[\"columns\"][0][\"column\"][\"unit\"] == \"s\"\n+# assert json[\"columns\"][0][\"column\"][\"tz\"] is None\ndiff --git a/e2e/tests/test_splits_next.py b/e2e/tests/test_splits_next.py\nnew file mode 100644\nindex 00000000..d1bdedd5\n--- /dev/null\n+++ b/e2e/tests/test_splits_next.py\n@@ -0,0 +1,47 @@\n+import pytest\n+import requests\n+\n+from .utils import (\n+ URL,\n+ get_openapi_body_example,\n+ poll,\n+ post_refresh,\n+ refresh_poll_splits_next,\n+)\n+\n+\n+@pytest.mark.parametrize(\n+ \"status,name,dataset,error_code\",\n+ [\n+ (200, \"duorc\", \"duorc\", None),\n+ (200, \"emotion\", \"emotion\", None),\n+ (404, \"inexistent-dataset\", \"severo/inexistent-dataset\", \"SplitsResponseNotFound\"),\n+ (404, \"private-dataset\", \"severo/dummy_private\", \"SplitsResponseNotFound\"),\n+ (422, \"empty-parameter\", \"\", \"MissingRequiredParameter\"),\n+ (422, \"missing-parameter\", None, \"MissingRequiredParameter\"),\n+ (500, \"SplitsNotFoundError\", \"natural_questions\", \"SplitsNamesError\"),\n+ (500, \"FileNotFoundError\", \"akhaliq/test\", \"SplitsNamesError\"),\n+ (500, \"not-ready\", \"a_new_dataset\", \"SplitsResponseNotReady\"),\n+ # not tested: 'internal_error'\n+ ],\n+)\n+def test_splits_next(status: int, name: str, dataset: str, error_code: str):\n+ body = get_openapi_body_example(\"/splits-next\", status, name)\n+\n+ if name == \"empty-parameter\":\n+ r_splits = poll(f\"{URL}/splits-next?dataset=\", error_field=\"error\")\n+ elif name == \"missing-parameter\":\n+ r_splits = poll(f\"{URL}/splits-next\", error_field=\"error\")\n+ elif name == \"not-ready\":\n+ post_refresh(dataset)\n+ # poll the endpoint before the worker had the chance to process it\n+ r_splits = requests.get(f\"{URL}/splits-next?dataset={dataset}\")\n+ else:\n+ r_splits = refresh_poll_splits_next(dataset)\n+\n+ assert r_splits.status_code == status\n+ assert r_splits.json() == body\n+ if error_code is not None:\n+ assert r_splits.headers[\"X-Error-Code\"] == error_code\n+ else:\n+ assert \"X-Error-Code\" not in r_splits.headers\ndiff --git a/e2e/tests/test_splits_next_and_first_rows.py b/e2e/tests/test_splits_next_and_first_rows.py\nnew file mode 100644\nindex 00000000..ae026989\n--- /dev/null\n+++ b/e2e/tests/test_splits_next_and_first_rows.py\n@@ -0,0 +1,54 @@\n+from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_next_first_rows\n+\n+\n+def test_get_dataset_next():\n+ dataset = \"acronym_identification\"\n+ config = \"default\"\n+ split = \"train\"\n+\n+ r_splits, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split)\n+ assert r_splits.json()[\"splits\"][0][\"split_name\"] == \"train\"\n+\n+ assert r_rows.status_code == 200\n+ json = r_rows.json()\n+ assert \"features\" in json\n+ assert json[\"features\"][0][\"name\"] == \"id\"\n+ assert json[\"features\"][0][\"type\"][\"_type\"] == \"Value\"\n+ assert json[\"features\"][0][\"type\"][\"dtype\"] == \"string\"\n+ assert json[\"features\"][2][\"name\"] == \"labels\"\n+ assert json[\"features\"][2][\"type\"][\"_type\"] == \"Sequence\"\n+ assert json[\"features\"][2][\"type\"][\"feature\"][\"_type\"] == \"ClassLabel\"\n+ assert json[\"features\"][2][\"type\"][\"feature\"][\"num_classes\"] == 5\n+ assert \"rows\" in json\n+ assert len(json[\"rows\"]) == ROWS_MAX_NUMBER\n+ assert json[\"rows\"][0][\"row\"][\"id\"] == \"TR-0\"\n+ assert type(json[\"rows\"][0][\"row\"][\"labels\"]) is list\n+ assert len(json[\"rows\"][0][\"row\"][\"labels\"]) == 18\n+ assert json[\"rows\"][0][\"row\"][\"labels\"][0] == 4\n+\n+\n+# TODO: find a dataset that can be processed faster\n+def test_png_image_next():\n+ # this test ensures that an image is saved as PNG if it cannot be saved as PNG\n+ # https://github.com/huggingface/datasets-server/issues/191\n+ dataset = \"wikimedia/wit_base\"\n+ config = \"wikimedia--wit_base\"\n+ split = \"train\"\n+\n+ _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split)\n+\n+ assert r_rows.status_code == 200\n+ json = r_rows.json()\n+\n+ assert \"features\" in json\n+ assert json[\"features\"][0][\"name\"] == \"image\"\n+ assert json[\"features\"][0][\"type\"][\"_type\"] == \"Image\"\n+ assert (\n+ json[\"rows\"][0][\"row\"][\"image\"]\n+ == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg\"\n+ )\n+ # assert (\n+ # json[\"rows\"][20][\"row\"][\"image\"]\n+ # == f\"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png\"\n+ # )\n+ # ^only four rows for now\ndiff --git a/e2e/tests/test_valid.py b/e2e/tests/test_valid.py\nnew file mode 100644\nindex 00000000..0c6dc0b2\n--- /dev/null\n+++ b/e2e/tests/test_valid.py\n@@ -0,0 +1,12 @@\n+import requests\n+\n+from .utils import URL\n+\n+\n+def test_valid_after_datasets_processed():\n+ # this test ensures that the datasets processed successfully are present in /valid\n+ response = requests.get(f\"{URL}/valid\")\n+ assert response.status_code == 200\n+ # at this moment various datasets have been processed (due to the alphabetic order of the test files)\n+ assert \"acronym_identification\" in response.json()[\"valid\"]\n+ assert \"nielsr/CelebA-faces\" in response.json()[\"valid\"]\ndiff --git a/e2e/tests/utils.py b/e2e/tests/utils.py\nnew file mode 100644\nindex 00000000..bee0d90b\n--- /dev/null\n+++ b/e2e/tests/utils.py\n@@ -0,0 +1,103 @@\n+import json\n+import os\n+import time\n+from os.path import dirname, join\n+from typing import Optional, Tuple\n+\n+import requests\n+\n+SERVICE_REVERSE_PROXY_PORT = os.environ.get(\"SERVICE_REVERSE_PROXY_PORT\", \"8000\")\n+ROWS_MAX_NUMBER = int(os.environ.get(\"ROWS_MAX_NUMBER\", 100))\n+INTERVAL = 1\n+MAX_DURATION = 10 * 60\n+URL = f\"http://localhost:{SERVICE_REVERSE_PROXY_PORT}\"\n+\n+\n+def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[int] = 200) -> requests.Response:\n+ interval = INTERVAL\n+ timeout = MAX_DURATION\n+ retries = timeout // interval\n+ should_retry = True\n+ response = None\n+ while retries > 0 and should_retry:\n+ retries -= 1\n+ time.sleep(interval)\n+ response = requests.get(url)\n+ if error_field is not None:\n+ # currently, when the dataset is being processed, the error message contains \"Retry later\"\n+ try:\n+ should_retry = \"retry later\" in response.json()[error_field].lower()\n+ except Exception:\n+ should_retry = False\n+ else:\n+ # just retry if the response is not the expected code\n+ should_retry = response.status_code != expected_code\n+ if response is None:\n+ raise RuntimeError(\"no request has been done\")\n+ return response\n+\n+\n+def post_refresh(dataset: str) -> requests.Response:\n+ return requests.post(f\"{URL}/webhook\", json={\"update\": f\"datasets/{dataset}\"})\n+\n+\n+def poll_splits(dataset: str) -> requests.Response:\n+ return poll(f\"{URL}/splits?dataset={dataset}\", error_field=\"message\")\n+\n+\n+def poll_rows(dataset: str, config: str, split: str) -> requests.Response:\n+ return poll(f\"{URL}/rows?dataset={dataset}&config={config}&split={split}\", error_field=\"message\")\n+\n+\n+def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[requests.Response, requests.Response]:\n+ # ask for the dataset to be refreshed\n+ response = post_refresh(dataset)\n+ assert response.status_code == 200\n+\n+ # poll the /splits endpoint until we get something else than \"The dataset is being processed. Retry later.\"\n+ response_splits = poll_splits(dataset)\n+ assert response.status_code == 200\n+\n+ # poll the /rows endpoint until we get something else than \"The split is being processed. Retry later.\"\n+ response_rows = poll_rows(dataset, config, split)\n+ assert response.status_code == 200\n+\n+ return response_splits, response_rows\n+\n+\n+def poll_splits_next(dataset: str) -> requests.Response:\n+ return poll(f\"{URL}/splits-next?dataset={dataset}\", error_field=\"error\")\n+\n+\n+def poll_first_rows(dataset: str, config: str, split: str) -> requests.Response:\n+ return poll(f\"{URL}/first-rows?dataset={dataset}&config={config}&split={split}\", error_field=\"error\")\n+\n+\n+def refresh_poll_splits_next(dataset: str) -> requests.Response:\n+ # ask for the dataset to be refreshed\n+ response = post_refresh(dataset)\n+ assert response.status_code == 200\n+\n+ # poll the /splits endpoint until we get something else than \"The dataset is being processed. Retry later.\"\n+ return poll_splits_next(dataset)\n+\n+\n+def refresh_poll_splits_next_first_rows(\n+ dataset: str, config: str, split: str\n+) -> Tuple[requests.Response, requests.Response]:\n+ response_splits = refresh_poll_splits_next(dataset)\n+ assert response_splits.status_code == 200\n+\n+ response_rows = poll_first_rows(dataset, config, split)\n+\n+ return response_splits, response_rows\n+\n+\n+def get_openapi_body_example(path, status, example_name):\n+ root = dirname(dirname(dirname(__file__)))\n+ openapi_filename = join(root, \"chart\", \"static-files\", \"openapi.json\")\n+ with open(openapi_filename) as json_file:\n+ openapi = json.load(json_file)\n+ return openapi[\"paths\"][path][\"get\"][\"responses\"][str(status)][\"content\"][\"application/json\"][\"examples\"][\n+ example_name\n+ ][\"value\"]\ndiff --git a/libs/libcache/dist/libcache-0.1.17-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.17-py3-none-any.whl\nnew file mode 100644\nindex 00000000..9a580720\nBinary 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b/libs/libcache/dist/libcache-0.1.23-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.23.tar.gz b/libs/libcache/dist/libcache-0.1.23.tar.gz\nnew file mode 100644\nindex 00000000..325a89cf\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.23.tar.gz differ\ndiff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock\nindex ddaa7934..e19e1926 100644\n--- a/libs/libcache/poetry.lock\n+++ b/libs/libcache/poetry.lock\n@@ -400 +400 @@ name = \"libutils\"\n-version = \"0.1.5\"\n+version = \"0.1.11\"\n@@ -413 +413 @@ type = \"file\"\n-url = \"../libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n+url = \"../libutils/dist/libutils-0.1.11-py3-none-any.whl\"\n@@ -1046 +1046 @@ python-versions = \"3.9.6\"\n-content-hash = \"68b6e1e446c319b5636f7f8f7d47ded0d48676af40e149edc2e24b4bce756b18\"\n+content-hash = \"ee3059c54fe77b9c90e8d88b7671c7a4d3ad0f9ed5b8d58757a6014a025dad4a\"\n@@ -1217 +1217 @@ libutils = [\n- {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\n+ {file = \"libutils-0.1.11-py3-none-any.whl\", hash = \"sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c\"},\ndiff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml\nindex 7b9308e4..29d21556 100644\n--- a/libs/libcache/pyproject.toml\n+++ b/libs/libcache/pyproject.toml\n@@ -5 +5 @@ name = \"libcache\"\n-version = \"0.1.16\"\n+version = \"0.1.23\"\n@@ -19 +19 @@ isort = \"^5.9.3\"\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\", develop = false }\ndiff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py\nindex 1b29c9b1..11a01ff0 100644\n--- a/libs/libcache/src/libcache/simple_cache.py\n+++ b/libs/libcache/src/libcache/simple_cache.py\n@@ -1 +0,0 @@\n-import enum\n@@ -4,0 +4 @@ from datetime import datetime, timezone\n+from http import HTTPStatus\n@@ -44,7 +43,0 @@ def connect_to_cache(database, host) -> None:\n-# subset of https://docs.python.org/3/library/http.html#http.HTTPStatus\n-class HTTPStatus(enum.Enum):\n- OK = \"200\"\n- BAD_REQUEST = \"400\"\n- INTERNAL_SERVER_ERROR = \"500\"\n-\n-\n@@ -58,0 +52 @@ class SplitsResponse(Document):\n+ error_code = StringField(required=False)\n@@ -67 +61 @@ class SplitsResponse(Document):\n- \"indexes\": [\"dataset_name\", \"http_status\", \"stale\"],\n+ \"indexes\": [\"dataset_name\", \"http_status\", \"stale\", \"error_code\"],\n@@ -77,0 +72 @@ class FirstRowsResponse(Document):\n+ error_code = StringField(required=False)\n@@ -90,0 +86 @@ class FirstRowsResponse(Document):\n+ \"error_code\",\n@@ -104 +100,5 @@ def upsert_splits_response(\n- dataset_name: str, response: Dict, http_status: HTTPStatus, details: Optional[Dict] = None\n+ dataset_name: str,\n+ response: Dict,\n+ http_status: HTTPStatus,\n+ error_code: Optional[str] = None,\n+ details: Optional[Dict] = None,\n@@ -107,0 +108 @@ def upsert_splits_response(\n+ error_code=error_code,\n@@ -124 +125 @@ def mark_splits_responses_as_stale(dataset_name: str):\n-def get_splits_response(dataset_name: str) -> Tuple[Dict, HTTPStatus]:\n+def get_splits_response(dataset_name: str) -> Tuple[Dict, HTTPStatus, Optional[str]]:\n@@ -126 +127 @@ def get_splits_response(dataset_name: str) -> Tuple[Dict, HTTPStatus]:\n- return split_response.response, split_response.http_status\n+ return split_response.response, split_response.http_status, split_response.error_code\n@@ -136,0 +138 @@ def upsert_first_rows_response(\n+ error_code: Optional[str] = None,\n@@ -140 +142,6 @@ def upsert_first_rows_response(\n- http_status=http_status, response=response, stale=False, details=details, updated_at=get_datetime()\n+ http_status=http_status,\n+ error_code=error_code,\n+ response=response,\n+ stale=False,\n+ details=details,\n+ updated_at=get_datetime(),\n@@ -167 +174,3 @@ def mark_first_rows_responses_as_stale(\n-def get_first_rows_response(dataset_name: str, config_name: str, split_name: str) -> Tuple[Dict, HTTPStatus]:\n+def get_first_rows_response(\n+ dataset_name: str, config_name: str, split_name: str\n+) -> Tuple[Dict, HTTPStatus, Optional[str]]:\n@@ -171 +180 @@ def get_first_rows_response(dataset_name: str, config_name: str, split_name: str\n- return first_rows_response.response, first_rows_response.http_status\n+ return first_rows_response.response, first_rows_response.http_status, first_rows_response.error_code\n@@ -200 +209 @@ def get_valid_dataset_names() -> List[str]:\n-# /pending-jobs endpoint\n+# admin /metrics endpoint\n@@ -203,4 +212 @@ def get_valid_dataset_names() -> List[str]:\n-class CountByHTTPStatus(TypedDict):\n- OK: int\n- BAD_REQUEST: int\n- INTERNAL_SERVER_ERROR: int\n+CountByHTTPStatus = Dict[str, int]\n@@ -210,4 +216 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt\n- # ensure that all the statuses are present, even if equal to zero\n- # note: we repeat the values instead of looping on Status because we don't know how to get the types right in mypy\n- # result: CountByStatus = {s.value: entries(status=s.value).count() for s in Status} # <- doesn't work in mypy\n- # see https://stackoverflow.com/a/67292548/7351594\n+ # return {http_status.name: entries(http_status=http_status).count() for http_status in HTTPStatus}\n@@ -215,3 +218,2 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt\n- \"OK\": entries(http_status=HTTPStatus.OK.value).count(),\n- \"BAD_REQUEST\": entries(http_status=HTTPStatus.BAD_REQUEST.value).count(),\n- \"INTERNAL_SERVER_ERROR\": entries(http_status=HTTPStatus.INTERNAL_SERVER_ERROR).count(),\n+ HTTPStatus(http_status).name: entries(http_status=http_status).count()\n+ for http_status in sorted(entries.distinct(\"http_status\"))\n@@ -222 +223,0 @@ def get_splits_responses_count_by_status() -> CountByHTTPStatus:\n- # TODO: take the splits statuses into account?\n@@ -229,0 +231,15 @@ def get_first_rows_responses_count_by_status() -> CountByHTTPStatus:\n+CountByErrorCode = Dict[str, int]\n+\n+\n+def get_entries_count_by_error_code(entries: QuerySet[AnyResponse]) -> CountByErrorCode:\n+ return {error_code: entries(error_code=error_code).count() for error_code in entries.distinct(\"error_code\")}\n+\n+\n+def get_splits_responses_count_by_error_code() -> CountByErrorCode:\n+ return get_entries_count_by_error_code(SplitsResponse.objects)\n+\n+\n+def get_first_rows_responses_count_by_error_code() -> CountByErrorCode:\n+ return get_entries_count_by_error_code(FirstRowsResponse.objects)\n+\n+\n@@ -258 +274 @@ class SplitsResponseReport(TypedDict):\n- status: str\n+ status: int\n@@ -266 +282 @@ class FirstRowsResponseReport(TypedDict):\n- status: str\n+ status: int\ndiff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py\nindex cd6e29a2..470923b4 100644\n--- a/libs/libcache/tests/test_simple_cache.py\n+++ b/libs/libcache/tests/test_simple_cache.py\n@@ -0,0 +1,2 @@\n+from http import HTTPStatus\n+\n@@ -6 +7,0 @@ from libcache.simple_cache import (\n- HTTPStatus,\n@@ -48 +49 @@ def test_upsert_splits_response() -> None:\n- response1, http_status = get_splits_response(dataset_name)\n+ response1, http_status, error_code = get_splits_response(dataset_name)\n@@ -50,0 +52 @@ def test_upsert_splits_response() -> None:\n+ assert error_code is None\n@@ -54 +56 @@ def test_upsert_splits_response() -> None:\n- (response2, _) = get_splits_response(dataset_name)\n+ (response2, _, _) = get_splits_response(dataset_name)\n@@ -68,0 +71,6 @@ def test_upsert_splits_response() -> None:\n+ upsert_splits_response(dataset_name, response, HTTPStatus.BAD_REQUEST, \"error_code\")\n+ response3, http_status, error_code = get_splits_response(dataset_name)\n+ assert response3 == response\n+ assert http_status == HTTPStatus.BAD_REQUEST\n+ assert error_code == \"error_code\"\n+\n@@ -76 +84 @@ def test_upsert_first_rows_response() -> None:\n- response1, http_status = get_first_rows_response(dataset_name, config_name, split_name)\n+ response1, http_status, _ = get_first_rows_response(dataset_name, config_name, split_name)\n@@ -82 +90 @@ def test_upsert_first_rows_response() -> None:\n- (response2, _) = get_first_rows_response(dataset_name, config_name, split_name)\n+ (response2, _, _) = get_first_rows_response(dataset_name, config_name, split_name)\n@@ -186 +194 @@ def test_count_by_status() -> None:\n- assert get_splits_responses_count_by_status() == {\"OK\": 0, \"BAD_REQUEST\": 0, \"INTERNAL_SERVER_ERROR\": 0}\n+ assert \"OK\" not in get_splits_responses_count_by_status()\n@@ -194,2 +202,2 @@ def test_count_by_status() -> None:\n- assert get_splits_responses_count_by_status() == {\"OK\": 1, \"BAD_REQUEST\": 0, \"INTERNAL_SERVER_ERROR\": 0}\n- assert get_first_rows_responses_count_by_status() == {\"OK\": 0, \"BAD_REQUEST\": 0, \"INTERNAL_SERVER_ERROR\": 0}\n+ assert get_splits_responses_count_by_status()[\"OK\"] == 1\n+ assert \"OK\" not in get_first_rows_responses_count_by_status()\n@@ -207 +215 @@ def test_count_by_status() -> None:\n- assert get_first_rows_responses_count_by_status() == {\"OK\": 1, \"BAD_REQUEST\": 0, \"INTERNAL_SERVER_ERROR\": 0}\n+ assert get_splits_responses_count_by_status()[\"OK\"] == 1\n@@ -252,0 +261 @@ def test_reports() -> None:\n+ \"RowsPostProcessingError\",\n@@ -282 +291 @@ def test_reports() -> None:\n- {\"dataset\": \"a\", \"error\": None, \"status\": \"200\"},\n+ {\"dataset\": \"a\", \"error\": None, \"status\": HTTPStatus.OK.value},\n@@ -289 +298,6 @@ def test_reports() -> None:\n- \"status\": \"400\",\n+ \"status\": HTTPStatus.BAD_REQUEST.value,\n+ },\n+ {\n+ \"dataset\": \"c\",\n+ \"error\": {\"message\": \"cannot write mode RGBA as JPEG\"},\n+ \"status\": HTTPStatus.INTERNAL_SERVER_ERROR.value,\n@@ -291 +304,0 @@ def test_reports() -> None:\n- {\"dataset\": \"c\", \"error\": {\"message\": \"cannot write mode RGBA as JPEG\"}, \"status\": \"500\"},\ndiff --git a/libs/libutils/dist/libutils-0.1.10-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.10-py3-none-any.whl\nnew file mode 100644\nindex 00000000..875f516b\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.10-py3-none-any.whl differ\ndiff --git a/libs/libutils/dist/libutils-0.1.10.tar.gz b/libs/libutils/dist/libutils-0.1.10.tar.gz\nnew file mode 100644\nindex 00000000..223578fd\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.10.tar.gz differ\ndiff --git a/libs/libutils/dist/libutils-0.1.11-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\nnew file mode 100644\nindex 00000000..b0c9d3c3\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.11-py3-none-any.whl differ\ndiff --git a/libs/libutils/dist/libutils-0.1.11.tar.gz b/libs/libutils/dist/libutils-0.1.11.tar.gz\nnew file mode 100644\nindex 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and b/libs/libutils/dist/libutils-0.1.7.tar.gz differ\ndiff --git a/libs/libutils/dist/libutils-0.1.8-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.8-py3-none-any.whl\nnew file mode 100644\nindex 00000000..e52fdb33\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.8-py3-none-any.whl differ\ndiff --git a/libs/libutils/dist/libutils-0.1.8.tar.gz b/libs/libutils/dist/libutils-0.1.8.tar.gz\nnew file mode 100644\nindex 00000000..5a7e2e66\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.8.tar.gz differ\ndiff --git a/libs/libutils/dist/libutils-0.1.9-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.9-py3-none-any.whl\nnew file mode 100644\nindex 00000000..d00447c0\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.9-py3-none-any.whl differ\ndiff --git a/libs/libutils/dist/libutils-0.1.9.tar.gz b/libs/libutils/dist/libutils-0.1.9.tar.gz\nnew file mode 100644\nindex 00000000..b948a753\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.9.tar.gz differ\ndiff --git a/libs/libutils/pyproject.toml b/libs/libutils/pyproject.toml\nindex 13676622..a1e4d02a 100644\n--- a/libs/libutils/pyproject.toml\n+++ b/libs/libutils/pyproject.toml\n@@ -5 +5 @@ name = \"libutils\"\n-version = \"0.1.5\"\n+version = \"0.1.11\"\ndiff --git a/libs/libutils/src/libutils/exceptions.py b/libs/libutils/src/libutils/exceptions.py\nindex 84425919..faf559f6 100644\n--- a/libs/libutils/src/libutils/exceptions.py\n+++ b/libs/libutils/src/libutils/exceptions.py\n@@ -3 +3,2 @@ import traceback\n-from typing import List, Optional, TypedDict\n+from http import HTTPStatus\n+from typing import List, Optional, TypedDict, Union\n@@ -5,0 +7,59 @@ from typing import List, Optional, TypedDict\n+class ErrorResponseWithoutCause(TypedDict):\n+ error: str\n+\n+\n+class ErrorResponseWithCause(ErrorResponseWithoutCause, total=False):\n+ cause_exception: str\n+ cause_message: str\n+ cause_traceback: List[str]\n+\n+\n+ErrorResponse = Union[ErrorResponseWithoutCause, ErrorResponseWithCause]\n+\n+\n+class CustomError(Exception):\n+ \"\"\"Base class for exceptions in this module.\"\"\"\n+\n+ def __init__(\n+ self,\n+ message: str,\n+ status_code: HTTPStatus,\n+ code: str,\n+ cause: Optional[BaseException] = None,\n+ disclose_cause: bool = False,\n+ ):\n+ super().__init__(message)\n+ self.exception = type(self).__name__\n+ self.status_code = status_code\n+ self.code = code\n+ self.message = str(self)\n+ if cause is not None:\n+ self.cause_exception: Optional[str] = type(cause).__name__\n+ self.cause_message: Optional[str] = str(cause)\n+ (t, v, tb) = sys.exc_info()\n+ self.cause_traceback: Optional[List[str]] = traceback.format_exception(t, v, tb)\n+ self.disclose_cause = disclose_cause\n+ else:\n+ self.cause_exception = None\n+ self.cause_message = None\n+ self.cause_traceback = None\n+ self.disclose_cause = False\n+\n+ def as_response_with_cause(self) -> ErrorResponseWithCause:\n+ error: ErrorResponseWithCause = {\"error\": self.message}\n+ if self.cause_exception is not None:\n+ error[\"cause_exception\"] = self.cause_exception\n+ if self.cause_message is not None:\n+ error[\"cause_message\"] = self.cause_message\n+ if self.cause_traceback is not None:\n+ error[\"cause_traceback\"] = self.cause_traceback\n+ return error\n+\n+ def as_response_without_cause(self) -> ErrorResponseWithoutCause:\n+ return {\"error\": self.message}\n+\n+ def as_response(self) -> ErrorResponse:\n+ return self.as_response_with_cause() if self.disclose_cause else self.as_response_without_cause()\n+\n+\n+# to be deprecated\ndiff --git a/libs/libutils/src/libutils/utils.py b/libs/libutils/src/libutils/utils.py\nindex b75779eb..1d6ab598 100644\n--- a/libs/libutils/src/libutils/utils.py\n+++ b/libs/libutils/src/libutils/utils.py\n@@ -2,2 +1,0 @@ import base64\n-import functools\n-import time\n@@ -5 +2,0 @@ from distutils.util import strtobool\n-from logging import Logger\n@@ -40 +37 @@ def get_str_value(d: GenericDict, key: str, default: str) -> str:\n- return default if value == \"\" else value\n+ return value or default\n@@ -53 +50 @@ def get_str_or_none_value(d: GenericDict, key: str, default: Union[str, None]) -\n- return default if value == \"\" else value\n+ return value or default\n@@ -65,26 +61,0 @@ def orjson_dumps(content: Any) -> bytes:\n-\n-\n-def retry(logger: Logger):\n- def decorator_retry(func):\n- \"\"\"retries with an increasing sleep before every attempt\"\"\"\n- SLEEPS = [1, 7, 70, 7 * 60, 70 * 60]\n- MAX_ATTEMPTS = len(SLEEPS)\n-\n- @functools.wraps(func)\n- def decorator(*args, **kwargs):\n- attempt = 0\n- while attempt < MAX_ATTEMPTS:\n- try:\n- \"\"\"always sleep before calling the function. It will prevent rate limiting in the first place\"\"\"\n- duration = SLEEPS[attempt]\n- logger.info(f\"Sleep during {duration} seconds to preventively mitigate rate limiting.\")\n- time.sleep(duration)\n- return func(*args, **kwargs)\n- except ConnectionError:\n- logger.info(\"Got a ConnectionError, possibly due to rate limiting. Let's retry.\")\n- attempt += 1\n- raise Exception(f\"Give up after {attempt} attempts with ConnectionError\")\n-\n- return decorator\n-\n- return decorator_retry\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex c98809e5..5bac7f0d 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -456 +456 @@ name = \"libcache\"\n-version = \"0.1.16\"\n+version = \"0.1.23\"\n@@ -470 +470 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\"\n@@ -491 +491 @@ name = \"libutils\"\n-version = \"0.1.5\"\n+version = \"0.1.11\"\n@@ -504 +504 @@ type = \"file\"\n-url = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n+url = \"../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\"\n@@ -1201 +1201 @@ python-versions = \"3.9.6\"\n-content-hash = \"5bbeeb7ed416503fb906a8fb5f9a430764f97f03f9749ab239a121f3c53c260e\"\n+content-hash = \"eb94ab2091e41d32518871f0038e1d1a0c705d5c5ca0714490ed021d0fb6dc9c\"\n@@ -1471 +1471 @@ libcache = [\n- {file = \"libcache-0.1.16-py3-none-any.whl\", hash = \"sha256:d0c8606cbc4b3c703e0ebe51a1cd6774c11a85ab893360ff0900fb16c2e7634d\"},\n+ {file = \"libcache-0.1.23-py3-none-any.whl\", hash = \"sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb\"},\n@@ -1477 +1477 @@ libutils = [\n- {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\n+ {file = \"libutils-0.1.11-py3-none-any.whl\", hash = \"sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c\"},\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex c4867483..78fadb79 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -9 +9 @@ huggingface-hub = \"^0.6.0\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\", develop = false }\n@@ -11 +11 @@ libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\",\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\", develop = false }\ndiff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py\nindex 9618efdf..086cefd4 100644\n--- a/services/admin/tests/test_app.py\n+++ b/services/admin/tests/test_app.py\n@@ -51,2 +51,4 @@ def test_metrics(client: TestClient) -> None:\n- assert 'cache_entries_total{cache=\"splits/\",status=\"BAD_REQUEST\"}' in metrics\n- assert 'cache_entries_total{cache=\"first-rows/\",status=\"INTERNAL_SERVER_ERROR\"}' in metrics\n+ # still empty\n+ assert 'cache_entries_total{cache=\"splits/\",status=\"BAD_REQUEST\"}' not in metrics\n+ # still empty\n+ assert 'cache_entries_total{cache=\"first-rows/\",status=\"INTERNAL_SERVER_ERROR\"}' not in metrics\ndiff --git a/services/api/poetry.lock b/services/api/poetry.lock\nindex 6cdbb7c7..5805e705 100644\n--- a/services/api/poetry.lock\n+++ b/services/api/poetry.lock\n@@ -455 +455 @@ name = \"libcache\"\n-version = \"0.1.14\"\n+version = \"0.1.23\"\n@@ -469 +469 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\"\n@@ -490 +490 @@ name = \"libutils\"\n-version = \"0.1.5\"\n+version = \"0.1.11\"\n@@ -503 +503 @@ type = \"file\"\n-url = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n+url = \"../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\"\n@@ -1200 +1200 @@ python-versions = \"3.9.6\"\n-content-hash = \"895ca8658ef15a1dfd6f107f94b756232ed37ffdbd90894abf0404c2d9273605\"\n+content-hash = \"6b89be56d2d74637a2198ac9bb6f56d4428b5b7fb3f23786dec8a60e5676b2fa\"\n@@ -1470 +1470 @@ libcache = [\n- {file = \"libcache-0.1.14-py3-none-any.whl\", hash = \"sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5\"},\n+ {file = \"libcache-0.1.23-py3-none-any.whl\", hash = \"sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb\"},\n@@ -1476 +1476 @@ libutils = [\n- {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\n+ {file = \"libutils-0.1.11-py3-none-any.whl\", hash = \"sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c\"},\ndiff --git a/services/api/pyproject.toml b/services/api/pyproject.toml\nindex 5e49d1b6..2c29522c 100644\n--- a/services/api/pyproject.toml\n+++ b/services/api/pyproject.toml\n@@ -9 +9 @@ huggingface-hub = \"^0.5.1\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\", develop = false }\n@@ -11 +11 @@ libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\",\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\", develop = false }\ndiff --git a/services/api/src/api/routes/_utils.py b/services/api/src/api/routes/_utils.py\ndeleted file mode 100644\nindex 9f55980f..00000000\n--- a/services/api/src/api/routes/_utils.py\n+++ /dev/null\n@@ -1,14 +0,0 @@\n-from typing import Any\n-\n-from libutils.utils import orjson_dumps\n-from starlette.responses import JSONResponse, Response\n-\n-\n-class OrjsonResponse(JSONResponse):\n- def render(self, content: Any) -> bytes:\n- return orjson_dumps(content)\n-\n-\n-def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response:\n- headers = {\"Cache-Control\": f\"max-age={max_age}\"} if max_age > 0 else {\"Cache-Control\": \"no-store\"}\n- return OrjsonResponse(content, status_code=status_code, headers=headers)\ndiff --git a/services/api/src/api/routes/first_rows.py b/services/api/src/api/routes/first_rows.py\nindex 88d02b63..8400285f 100644\n--- a/services/api/src/api/routes/first_rows.py\n+++ b/services/api/src/api/routes/first_rows.py\n@@ -1,0 +2 @@ import logging\n+from http import HTTPStatus\n@@ -3 +4 @@ import logging\n-from libcache.simple_cache import DoesNotExist, HTTPStatus, get_first_rows_response\n+from libcache.simple_cache import DoesNotExist, get_first_rows_response\n@@ -5 +5,0 @@ from libqueue.queue import is_first_rows_response_in_process\n-from libutils.exceptions import Status400Error, Status500Error\n@@ -9,2 +9,11 @@ from starlette.responses import Response\n-from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS\n-from api.routes._utils import get_response\n+from api.utils import (\n+ ApiCustomError,\n+ FirstRowsResponseNotFoundError,\n+ FirstRowsResponseNotReadyError,\n+ MissingRequiredParameterError,\n+ UnexpectedError,\n+ are_valid_parameters,\n+ get_json_api_error_response,\n+ get_json_error_response,\n+ get_json_ok_response,\n+)\n@@ -22,6 +31,2 @@ async def first_rows_endpoint(request: Request) -> Response:\n- if not isinstance(dataset_name, str) or not isinstance(config_name, str) or not isinstance(split_name, str):\n- return get_response(\n- Status400Error(\"Parameters 'dataset', 'config' and 'split' are required\").as_response(),\n- 400,\n- MAX_AGE_SHORT_SECONDS,\n- )\n+ if not are_valid_parameters([dataset_name, config_name, split_name]):\n+ raise MissingRequiredParameterError(\"Parameters 'dataset', 'config' and 'split' are required\")\n@@ -29,7 +34,6 @@ async def first_rows_endpoint(request: Request) -> Response:\n- response, http_status = get_first_rows_response(dataset_name, config_name, split_name)\n- return get_response(\n- response,\n- int(http_status.value),\n- MAX_AGE_LONG_SECONDS if http_status == HTTPStatus.OK else MAX_AGE_SHORT_SECONDS,\n- )\n- except DoesNotExist:\n+ response, http_status, error_code = get_first_rows_response(dataset_name, config_name, split_name)\n+ if http_status == HTTPStatus.OK:\n+ return get_json_ok_response(response)\n+ else:\n+ return get_json_error_response(response, http_status, error_code)\n+ except DoesNotExist as e:\n@@ -37,5 +41,3 @@ async def first_rows_endpoint(request: Request) -> Response:\n- return get_response(\n- Status500Error(\"The list of the first rows is not ready yet. Please retry later.\").as_response(),\n- 500,\n- MAX_AGE_SHORT_SECONDS,\n- )\n+ raise FirstRowsResponseNotReadyError(\n+ \"The list of the first rows is not ready yet. Please retry later.\"\n+ ) from e\n@@ -43,7 +45,5 @@ async def first_rows_endpoint(request: Request) -> Response:\n- return get_response(\n- Status400Error(\"Not found.\").as_response(),\n- 400,\n- MAX_AGE_SHORT_SECONDS,\n- )\n- except Exception as err:\n- return get_response(Status500Error(\"Unexpected error.\", err).as_response(), 500, MAX_AGE_SHORT_SECONDS)\n+ raise FirstRowsResponseNotFoundError(\"Not found.\") from e\n+ except ApiCustomError as e:\n+ return get_json_api_error_response(e)\n+ except Exception:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\ndiff --git a/services/api/src/api/routes/rows.py b/services/api/src/api/routes/rows.py\nindex a9a967eb..3c52bc71 100644\n--- a/services/api/src/api/routes/rows.py\n+++ b/services/api/src/api/routes/rows.py\n@@ -9 +9 @@ from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS\n-from api.routes._utils import get_response\n+from api.utils import get_response\ndiff --git a/services/api/src/api/routes/splits.py b/services/api/src/api/routes/splits.py\nindex 1f643be8..a2a620ea 100644\n--- a/services/api/src/api/routes/splits.py\n+++ b/services/api/src/api/routes/splits.py\n@@ -9 +9 @@ from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS\n-from api.routes._utils import get_response\n+from api.utils import get_response\ndiff --git a/services/api/src/api/routes/splits_next.py b/services/api/src/api/routes/splits_next.py\nindex 56e2257e..e3cb5c26 100644\n--- a/services/api/src/api/routes/splits_next.py\n+++ b/services/api/src/api/routes/splits_next.py\n@@ -1,0 +2 @@ import logging\n+from http import HTTPStatus\n@@ -3 +4 @@ import logging\n-from libcache.simple_cache import DoesNotExist, HTTPStatus, get_splits_response\n+from libcache.simple_cache import DoesNotExist, get_splits_response\n@@ -5 +5,0 @@ from libqueue.queue import is_splits_response_in_process\n-from libutils.exceptions import Status400Error, Status500Error\n@@ -9,2 +9,11 @@ from starlette.responses import Response\n-from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS\n-from api.routes._utils import get_response\n+from api.utils import (\n+ ApiCustomError,\n+ MissingRequiredParameterError,\n+ SplitsResponseNotFoundError,\n+ SplitsResponseNotReadyError,\n+ UnexpectedError,\n+ are_valid_parameters,\n+ get_json_api_error_response,\n+ get_json_error_response,\n+ get_json_ok_response,\n+)\n@@ -20,4 +29,2 @@ async def splits_endpoint_next(request: Request) -> Response:\n- if not isinstance(dataset_name, str):\n- return get_response(\n- Status400Error(\"Parameter 'dataset' is required\").as_response(), 400, MAX_AGE_SHORT_SECONDS\n- )\n+ if not are_valid_parameters([dataset_name]):\n+ raise MissingRequiredParameterError(\"Parameter 'dataset' is required\")\n@@ -25,7 +32,6 @@ async def splits_endpoint_next(request: Request) -> Response:\n- response, http_status = get_splits_response(dataset_name)\n- return get_response(\n- response,\n- int(http_status.value),\n- MAX_AGE_LONG_SECONDS if http_status == HTTPStatus.OK else MAX_AGE_SHORT_SECONDS,\n- )\n- except DoesNotExist:\n+ response, http_status, error_code = get_splits_response(dataset_name)\n+ if http_status == HTTPStatus.OK:\n+ return get_json_ok_response(response)\n+ else:\n+ return get_json_error_response(response, http_status, error_code)\n+ except DoesNotExist as e:\n@@ -33,5 +39 @@ async def splits_endpoint_next(request: Request) -> Response:\n- return get_response(\n- Status500Error(\"The list of splits is not ready yet. Please retry later.\").as_response(),\n- 500,\n- MAX_AGE_SHORT_SECONDS,\n- )\n+ raise SplitsResponseNotReadyError(\"The list of splits is not ready yet. Please retry later.\") from e\n@@ -39,3 +41,5 @@ async def splits_endpoint_next(request: Request) -> Response:\n- return get_response(Status400Error(\"Not found.\").as_response(), 400, MAX_AGE_SHORT_SECONDS)\n- except Exception as err:\n- return get_response(Status500Error(\"Unexpected error.\", err).as_response(), 500, MAX_AGE_SHORT_SECONDS)\n+ raise SplitsResponseNotFoundError(\"Not found.\") from e\n+ except ApiCustomError as e:\n+ return get_json_api_error_response(e)\n+ except Exception:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\ndiff --git a/services/api/src/api/routes/valid.py b/services/api/src/api/routes/valid.py\nindex 1b3b4b83..8353a185 100644\n--- a/services/api/src/api/routes/valid.py\n+++ b/services/api/src/api/routes/valid.py\n@@ -8 +7,0 @@ from libcache.cache import (\n-from libutils.exceptions import Status400Error, Status500Error, StatusError\n@@ -12,2 +11,8 @@ from starlette.responses import Response\n-from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS\n-from api.routes._utils import get_response\n+from api.utils import (\n+ ApiCustomError,\n+ MissingRequiredParameterError,\n+ UnexpectedError,\n+ are_valid_parameters,\n+ get_json_api_error_response,\n+ get_json_ok_response,\n+)\n@@ -19,6 +24,9 @@ async def valid_datasets_endpoint(_: Request) -> Response:\n- logger.info(\"/valid\")\n- content = {\n- \"valid\": get_valid_or_stale_dataset_names(),\n- \"created_at\": time.strftime(\"%Y-%m-%dT%H:%M:%SZ\", time.gmtime()),\n- }\n- return get_response(content, 200, MAX_AGE_LONG_SECONDS)\n+ try:\n+ logger.info(\"/valid\")\n+ content = {\n+ \"valid\": get_valid_or_stale_dataset_names(),\n+ \"created_at\": time.strftime(\"%Y-%m-%dT%H:%M:%SZ\", time.gmtime()),\n+ }\n+ return get_json_ok_response(content)\n+ except Exception:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\n@@ -31,11 +39,10 @@ async def is_valid_endpoint(request: Request) -> Response:\n- try:\n- if not isinstance(dataset_name, str):\n- raise Status400Error(\"Parameter 'dataset' is required\")\n- content = {\n- \"valid\": is_dataset_name_valid_or_stale(dataset_name),\n- }\n- return get_response(content, 200, MAX_AGE_LONG_SECONDS)\n- except StatusError as err:\n- return get_response(err.as_content(), err.status_code, MAX_AGE_SHORT_SECONDS)\n- except Exception as err:\n- return get_response(Status500Error(\"Unexpected error.\", err).as_content(), 500, MAX_AGE_SHORT_SECONDS)\n+ if not are_valid_parameters([dataset_name]):\n+ raise MissingRequiredParameterError(\"Parameter 'dataset' is required\")\n+ content = {\n+ \"valid\": is_dataset_name_valid_or_stale(dataset_name),\n+ }\n+ return get_json_ok_response(content)\n+ except ApiCustomError as e:\n+ return get_json_api_error_response(e)\n+ except Exception:\n+ return get_json_api_error_response(UnexpectedError(\"Unexpected error.\"))\ndiff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py\nindex 61fdccc2..7b2d6d75 100644\n--- a/services/api/src/api/routes/webhook.py\n+++ b/services/api/src/api/routes/webhook.py\n@@ -15 +15 @@ from starlette.responses import Response\n-from api.routes._utils import get_response\n+from api.utils import are_valid_parameters, get_response\n@@ -48,0 +49,2 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]:\n+ if not are_valid_parameters([dataset_name]):\n+ return None\ndiff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py\nnew file mode 100644\nindex 00000000..598928c2\n--- /dev/null\n+++ b/services/api/src/api/utils.py\n@@ -0,0 +1,114 @@\n+from http import HTTPStatus\n+from typing import Any, List, Literal, Optional\n+\n+from libutils.exceptions import CustomError\n+from libutils.utils import orjson_dumps\n+from starlette.responses import JSONResponse, Response\n+\n+from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS\n+\n+ApiErrorCode = Literal[\n+ \"MissingRequiredParameter\",\n+ \"SplitsResponseNotReady\",\n+ \"FirstRowsResponseNotReady\",\n+ \"SplitsResponseNotFound\",\n+ \"FirstRowsResponseNotFound\",\n+ \"UnexpectedError\",\n+]\n+\n+\n+class ApiCustomError(CustomError):\n+ \"\"\"Base class for exceptions in this module.\"\"\"\n+\n+ def __init__(\n+ self,\n+ message: str,\n+ status_code: HTTPStatus,\n+ code: ApiErrorCode,\n+ cause: Optional[BaseException] = None,\n+ disclose_cause: bool = False,\n+ ):\n+ super().__init__(message, status_code, str(code), cause, disclose_cause)\n+\n+\n+class MissingRequiredParameterError(ApiCustomError):\n+ \"\"\"Raised when a required parameter is missing.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.UNPROCESSABLE_ENTITY, \"MissingRequiredParameter\")\n+\n+\n+class SplitsResponseNotReadyError(ApiCustomError):\n+ \"\"\"Raised when the /splits response has not been processed yet.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"SplitsResponseNotReady\")\n+\n+\n+class FirstRowsResponseNotReadyError(ApiCustomError):\n+ \"\"\"Raised when the /first-rows response has not been processed yet.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"FirstRowsResponseNotReady\")\n+\n+\n+class FirstRowsResponseNotFoundError(ApiCustomError):\n+ \"\"\"Raised when the response for /first-rows has not been found.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.NOT_FOUND, \"FirstRowsResponseNotFound\")\n+\n+\n+class SplitsResponseNotFoundError(ApiCustomError):\n+ \"\"\"Raised when the response for /splits has not been found.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.NOT_FOUND, \"SplitsResponseNotFound\")\n+\n+\n+class UnexpectedError(ApiCustomError):\n+ \"\"\"Raised when the response for the split has not been found.\"\"\"\n+\n+ def __init__(self, message: str):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"UnexpectedError\")\n+\n+\n+class OrjsonResponse(JSONResponse):\n+ def render(self, content: Any) -> bytes:\n+ return orjson_dumps(content)\n+\n+\n+def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response:\n+ headers = {\"Cache-Control\": f\"max-age={max_age}\"} if max_age > 0 else {\"Cache-Control\": \"no-store\"}\n+ return OrjsonResponse(content, status_code=status_code, headers=headers)\n+\n+\n+def get_json_response(\n+ content: Any, status_code: HTTPStatus = HTTPStatus.OK, max_age: int = 0, error_code: Optional[str] = None\n+) -> Response:\n+ headers = {\"Cache-Control\": f\"max-age={max_age}\" if max_age > 0 else \"no-store\"}\n+ if error_code is not None:\n+ headers[\"X-Error-Code\"] = error_code\n+ return OrjsonResponse(content, status_code=status_code.value, headers=headers)\n+\n+\n+def get_json_ok_response(content: Any) -> Response:\n+ return get_json_response(content, max_age=MAX_AGE_LONG_SECONDS)\n+\n+\n+def get_json_error_response(\n+ content: Any, status_code: HTTPStatus = HTTPStatus.OK, error_code: Optional[str] = None\n+) -> Response:\n+ return get_json_response(content, status_code=status_code, max_age=MAX_AGE_SHORT_SECONDS, error_code=error_code)\n+\n+\n+def get_json_api_error_response(error: ApiCustomError) -> Response:\n+ return get_json_error_response(error.as_response(), error.status_code, error.code)\n+\n+\n+def is_non_empty_string(string: Any) -> bool:\n+ return isinstance(string, str) and bool(string and string.strip())\n+\n+\n+def are_valid_parameters(parameters: List[Any]) -> bool:\n+ return all(is_non_empty_string(s) for s in parameters)\ndiff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py\nindex 35c8b93a..b8f536c1 100644\n--- a/services/api/tests/test_app.py\n+++ b/services/api/tests/test_app.py\n@@ -0,0 +1,2 @@\n+from http import HTTPStatus\n+\n@@ -10 +11,0 @@ from libcache.simple_cache import (\n- HTTPStatus,\n@@ -77 +78 @@ def test_get_is_valid(client: TestClient) -> None:\n- assert response.status_code == 400\n+ assert response.status_code == 422\n@@ -148,0 +150,22 @@ def test_get_splits(client: TestClient) -> None:\n+def test_get_splits_next(client: TestClient) -> None:\n+ # missing parameter\n+ response = client.get(\"/splits-next\")\n+ assert response.status_code == 422\n+ # empty parameter\n+ response = client.get(\"/splits-next?dataset=\")\n+ assert response.status_code == 422\n+\n+\n+def test_get_first_rows(client: TestClient) -> None:\n+ # missing parameter\n+ response = client.get(\"/first-rows\")\n+ assert response.status_code == 422\n+ response = client.get(\"/first-rows?dataset=a\")\n+ assert response.status_code == 422\n+ response = client.get(\"/first-rows?dataset=a&config=b\")\n+ assert response.status_code == 422\n+ # empty parameter\n+ response = client.get(\"/first-rows?dataset=a&config=b&split=\")\n+ assert response.status_code == 422\n+\n+\ndiff --git a/services/worker/poetry.lock b/services/worker/poetry.lock\nindex a85e5c8b..f68ec384 100644\n--- a/services/worker/poetry.lock\n+++ b/services/worker/poetry.lock\n@@ -822,2 +822,2 @@ name = \"huggingface-hub\"\n-version = \"0.7.0\"\n-description = \"Client library to download and publish models on the huggingface.co hub\"\n+version = \"0.8.1\"\n+description = \"Client library to download and publish models, datasets and other repos on the huggingface.co hub\"\n@@ -837,6 +836,0 @@ typing-extensions = \">=3.7.4.3\"\n-all = [\"pytest\", \"datasets\", \"soundfile\", \"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-dev = [\"pytest\", \"datasets\", \"soundfile\", \"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-fastai = [\"toml\", \"fastai (>=2.4)\", \"fastcore (>=1.3.27)\"]\n-quality = [\"black (>=22.0,<23.0)\", \"isort (>=5.5.4)\", \"flake8 (>=3.8.3)\"]\n-tensorflow = [\"tensorflow\", \"pydot\", \"graphviz\"]\n-testing = [\"pytest\", \"datasets\", \"soundfile\"]\n@@ -843,0 +838,6 @@ torch = [\"torch\"]\n+testing = [\"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n+tensorflow = [\"graphviz\", \"pydot\", \"tensorflow\"]\n+quality = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\"]\n+fastai = [\"fastcore (>=1.3.27)\", \"fastai (>=2.4)\", \"toml\"]\n+dev = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\", \"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n+all = [\"flake8 (>=3.8.3)\", \"isort (>=5.5.4)\", \"black (>=22.0,<23.0)\", \"soundfile\", \"datasets\", \"pytest-cov\", \"pytest\"]\n@@ -968 +968 @@ name = \"libcache\"\n-version = \"0.1.14\"\n+version = \"0.1.23\"\n@@ -982 +982 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\"\n@@ -1037 +1037 @@ name = \"libutils\"\n-version = \"0.1.5\"\n+version = \"0.1.11\"\n@@ -1050 +1050 @@ type = \"file\"\n-url = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n+url = \"../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\"\n@@ -2532 +2532 @@ python-versions = \"3.9.6\"\n-content-hash = \"98bda989cbdc2c286d9519efcd519a96853892e08ac038db846adcd242efb1b1\"\n+content-hash = \"c4a829aac4358fdfc3dfb86caec17625ea8f251d23ac2549d304a0848447531f\"\n@@ -3288,4 +3288 @@ httplib2 = [\n-huggingface-hub = [\n- {file = \"huggingface_hub-0.7.0-py3-none-any.whl\", hash = \"sha256:fd448fd0b738d803411c79bdf9f12f0ba171fecd24a59edf88c1391b473bc2c0\"},\n- {file = \"huggingface_hub-0.7.0.tar.gz\", hash = \"sha256:8154dc2fad84b32a4bca18372a647d9381ed8550a80b11050758357b8fcea639\"},\n-]\n+huggingface-hub = []\n@@ -3332 +3329 @@ libcache = [\n- {file = \"libcache-0.1.14-py3-none-any.whl\", hash = \"sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5\"},\n+ {file = \"libcache-0.1.23-py3-none-any.whl\", hash = \"sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb\"},\n@@ -3351 +3348 @@ libutils = [\n- {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\n+ {file = \"libutils-0.1.11-py3-none-any.whl\", hash = \"sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c\"},\ndiff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml\nindex 9a77ea5e..3ac114b2 100644\n--- a/services/worker/pyproject.toml\n+++ b/services/worker/pyproject.toml\n@@ -18 +18 @@ kss = \"^2.6.0\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl\", develop = false }\n@@ -20 +20 @@ libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\",\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl\", develop = false }\ndiff --git a/services/worker/src/worker/models/asset.py b/services/worker/src/worker/asset.py\nsimilarity index 100%\nrename from services/worker/src/worker/models/asset.py\nrename to services/worker/src/worker/asset.py\ndiff --git a/services/worker/src/worker/models/__init__.py b/services/worker/src/worker/deprecated/__init__.py\nsimilarity index 100%\nrename from services/worker/src/worker/models/__init__.py\nrename to services/worker/src/worker/deprecated/__init__.py\ndiff --git a/services/worker/src/worker/deprecated/main.py b/services/worker/src/worker/deprecated/main.py\nnew file mode 100644\nindex 00000000..7bb100ac\n--- /dev/null\n+++ b/services/worker/src/worker/deprecated/main.py\n@@ -0,0 +1,99 @@\n+import logging\n+\n+from libqueue.queue import (\n+ EmptyQueue,\n+ add_dataset_job,\n+ add_split_job,\n+ finish_dataset_job,\n+ finish_split_job,\n+ get_dataset_job,\n+ get_split_job,\n+)\n+from libutils.exceptions import Status500Error, StatusError\n+\n+from worker.config import (\n+ HF_TOKEN,\n+ MAX_JOB_RETRIES,\n+ MAX_JOBS_PER_DATASET,\n+ MAX_SIZE_FALLBACK,\n+ ROWS_MAX_BYTES,\n+ ROWS_MAX_NUMBER,\n+ ROWS_MIN_NUMBER,\n+)\n+from worker.deprecated.refresh import refresh_dataset, refresh_split\n+\n+\n+def process_next_dataset_job() -> bool:\n+ logger = logging.getLogger(\"datasets_server.worker\")\n+ logger.debug(\"try to process a dataset job\")\n+\n+ try:\n+ job_id, dataset_name, retries = get_dataset_job(MAX_JOBS_PER_DATASET)\n+ logger.debug(f\"job assigned: {job_id} for dataset={dataset_name}\")\n+ except EmptyQueue:\n+ logger.debug(\"no job in the queue\")\n+ return False\n+\n+ success = False\n+ retry = False\n+ try:\n+ logger.info(f\"compute dataset={dataset_name}\")\n+ refresh_dataset(dataset_name=dataset_name, hf_token=HF_TOKEN)\n+ success = True\n+ except StatusError as e:\n+ if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES:\n+ retry = True\n+ # in any case: don't raise the StatusError, and go to finally\n+ finally:\n+ finish_dataset_job(job_id, success=success)\n+ result = \"success\" if success else \"error\"\n+ logger.debug(f\"job finished with {result}: {job_id} for dataset={dataset_name}\")\n+ if retry:\n+ add_dataset_job(dataset_name, retries=retries + 1)\n+ logger.debug(f\"job re-enqueued (retries: {retries}) for dataset={dataset_name}\")\n+ return True\n+\n+\n+def process_next_split_job() -> bool:\n+ logger = logging.getLogger(\"datasets_server.worker\")\n+ logger.debug(\"try to process a split job\")\n+\n+ try:\n+ job_id, dataset_name, config_name, split_name, retries = get_split_job(MAX_JOBS_PER_DATASET)\n+ logger.debug(f\"job assigned: {job_id} for dataset={dataset_name} config={config_name} split={split_name}\")\n+ except EmptyQueue:\n+ logger.debug(\"no job in the queue\")\n+ return False\n+\n+ success = False\n+ retry = False\n+ try:\n+ logger.info(f\"compute dataset={dataset_name} config={config_name} split={split_name}\")\n+ refresh_split(\n+ dataset_name=dataset_name,\n+ config_name=config_name,\n+ split_name=split_name,\n+ hf_token=HF_TOKEN,\n+ max_size_fallback=MAX_SIZE_FALLBACK,\n+ rows_max_bytes=ROWS_MAX_BYTES,\n+ rows_max_number=ROWS_MAX_NUMBER,\n+ rows_min_number=ROWS_MIN_NUMBER,\n+ )\n+ success = True\n+ except StatusError as e:\n+ if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES:\n+ retry = True\n+ # in any case: don't raise the StatusError, and go to finally\n+ finally:\n+ finish_split_job(job_id, success=success)\n+ result = \"success\" if success else \"error\"\n+ logger.debug(\n+ f\"job finished with {result}: {job_id} for dataset={dataset_name} config={config_name} split={split_name}\"\n+ )\n+ if retry:\n+ add_split_job(dataset_name, config_name, split_name, retries=retries + 1)\n+ logger.debug(\n+ f\"job re-enqueued (retries: {retries}) for\"\n+ f\" dataset={dataset_name} config={config_name} split={split_name}\"\n+ )\n+ return True\ndiff --git a/services/worker/tests/models/__init__.py b/services/worker/src/worker/deprecated/models/__init__.py\nsimilarity index 100%\nrename from services/worker/tests/models/__init__.py\nrename to services/worker/src/worker/deprecated/models/__init__.py\ndiff --git a/services/worker/src/worker/deprecated/models/asset.py b/services/worker/src/worker/deprecated/models/asset.py\nnew file mode 100644\nindex 00000000..e512d514\n--- /dev/null\n+++ b/services/worker/src/worker/deprecated/models/asset.py\n@@ -0,0 +1,72 @@\n+import logging\n+import os\n+from typing import List, Tuple, TypedDict\n+\n+import soundfile # type:ignore\n+from libcache.asset import init_assets_dir\n+from numpy import ndarray # type:ignore\n+from PIL import Image # type: ignore\n+from pydub import AudioSegment # type:ignore\n+\n+from worker.config import ASSETS_DIRECTORY\n+\n+logger = logging.getLogger(__name__)\n+\n+DATASET_SEPARATOR = \"--\"\n+ASSET_DIR_MODE = 0o755\n+\n+\n+def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column: str) -> Tuple[str, str]:\n+ assets_dir = init_assets_dir(ASSETS_DIRECTORY)\n+ dir_path = os.path.join(assets_dir, dataset, DATASET_SEPARATOR, config, split, str(row_idx), column)\n+ url_dir_path = f\"{dataset}/{DATASET_SEPARATOR}/{config}/{split}/{row_idx}/{column}\"\n+ os.makedirs(dir_path, ASSET_DIR_MODE, exist_ok=True)\n+ return dir_path, url_dir_path\n+\n+\n+def create_image_file(\n+ dataset: str,\n+ config: str,\n+ split: str,\n+ row_idx: int,\n+ column: str,\n+ filename: str,\n+ image: Image.Image,\n+ assets_base_url: str,\n+) -> str:\n+ dir_path, url_dir_path = create_asset_dir(dataset, config, split, row_idx, column)\n+ file_path = os.path.join(dir_path, filename)\n+ image.save(file_path)\n+ return f\"{assets_base_url}/{url_dir_path}/{filename}\"\n+\n+\n+class AudioSource(TypedDict):\n+ src: str\n+ type: str\n+\n+\n+def create_audio_files(\n+ dataset: str,\n+ config: str,\n+ split: str,\n+ row_idx: int,\n+ column: str,\n+ array: ndarray,\n+ sampling_rate: int,\n+ assets_base_url: str,\n+) -> List[AudioSource]:\n+ wav_filename = \"audio.wav\"\n+ mp3_filename = \"audio.mp3\"\n+ dir_path, url_dir_path = create_asset_dir(dataset, config, split, row_idx, column)\n+ wav_file_path = os.path.join(dir_path, wav_filename)\n+ mp3_file_path = os.path.join(dir_path, mp3_filename)\n+ soundfile.write(wav_file_path, array, sampling_rate)\n+ segment = AudioSegment.from_wav(wav_file_path)\n+ segment.export(mp3_file_path, format=\"mp3\")\n+ return [\n+ {\"src\": f\"{assets_base_url}/{url_dir_path}/{mp3_filename}\", \"type\": \"audio/mpeg\"},\n+ {\"src\": f\"{assets_base_url}/{url_dir_path}/{wav_filename}\", \"type\": \"audio/wav\"},\n+ ]\n+\n+\n+# TODO: add a function to flush all the assets of a dataset\ndiff --git a/services/worker/src/worker/models/column/__init__.py b/services/worker/src/worker/deprecated/models/column/__init__.py\nsimilarity index 74%\nrename from services/worker/src/worker/models/column/__init__.py\nrename to services/worker/src/worker/deprecated/models/column/__init__.py\nindex 5b95107c..c9a4ce45 100644\n--- a/services/worker/src/worker/models/column/__init__.py\n+++ b/services/worker/src/worker/deprecated/models/column/__init__.py\n@@ -8,4 +8,4 @@ from worker.config import ROWS_MAX_NUMBER\n-from worker.models.column.audio import AudioColumn\n-from worker.models.column.bool import BoolColumn\n-from worker.models.column.class_label import ClassLabelColumn\n-from worker.models.column.default import (\n+from worker.deprecated.models.column.audio import AudioColumn\n+from worker.deprecated.models.column.bool import BoolColumn\n+from worker.deprecated.models.column.class_label import ClassLabelColumn\n+from worker.deprecated.models.column.default import (\n@@ -19,9 +19,9 @@ from worker.models.column.default import (\n-from worker.models.column.float import FloatColumn\n-from worker.models.column.image import ImageColumn\n-from worker.models.column.image_array2d import ImageArray2DColumn\n-from worker.models.column.image_array3d import ImageArray3DColumn\n-from worker.models.column.image_url import ImageUrlColumn\n-from worker.models.column.int import IntColumn\n-from worker.models.column.string import StringColumn\n-from worker.models.column.timestamp import TimestampColumn\n-from worker.models.row import Row\n+from worker.deprecated.models.column.float import FloatColumn\n+from worker.deprecated.models.column.image import ImageColumn\n+from worker.deprecated.models.column.image_array2d import ImageArray2DColumn\n+from worker.deprecated.models.column.image_array3d import ImageArray3DColumn\n+from worker.deprecated.models.column.image_url import ImageUrlColumn\n+from worker.deprecated.models.column.int import IntColumn\n+from worker.deprecated.models.column.string import StringColumn\n+from worker.deprecated.models.column.timestamp import TimestampColumn\n+from worker.deprecated.models.row import Row\ndiff --git a/services/worker/src/worker/models/column/audio.py b/services/worker/src/worker/deprecated/models/column/audio.py\nsimilarity index 94%\nrename from services/worker/src/worker/models/column/audio.py\nrename to services/worker/src/worker/deprecated/models/column/audio.py\nindex 6ec04637..f5aaddde 100644\n--- a/services/worker/src/worker/models/column/audio.py\n+++ b/services/worker/src/worker/deprecated/models/column/audio.py\n@@ -6,2 +6,2 @@ from numpy import ndarray # type:ignore\n-from worker.models.asset import create_audio_files\n-from worker.models.column.default import (\n+from worker.deprecated.models.asset import create_audio_files\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/bool.py b/services/worker/src/worker/deprecated/models/column/bool.py\nsimilarity index 95%\nrename from services/worker/src/worker/models/column/bool.py\nrename to services/worker/src/worker/deprecated/models/column/bool.py\nindex c4891453..dda36c3f 100644\n--- a/services/worker/src/worker/models/column/bool.py\n+++ b/services/worker/src/worker/deprecated/models/column/bool.py\n@@ -3 +3 @@ from typing import Any, List\n-from worker.models.column.default import (\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/class_label.py b/services/worker/src/worker/deprecated/models/column/class_label.py\nsimilarity index 90%\nrename from services/worker/src/worker/models/column/class_label.py\nrename to services/worker/src/worker/deprecated/models/column/class_label.py\nindex ebfb2402..4041425a 100644\n--- a/services/worker/src/worker/models/column/class_label.py\n+++ b/services/worker/src/worker/deprecated/models/column/class_label.py\n@@ -6 +6,6 @@ from libutils.types import ClassLabelColumnType, ColumnDict\n-from worker.models.column.default import Cell, CellTypeError, Column, ColumnTypeError\n+from worker.deprecated.models.column.default import (\n+ Cell,\n+ CellTypeError,\n+ Column,\n+ ColumnTypeError,\n+)\ndiff --git a/services/worker/src/worker/models/column/default.py b/services/worker/src/worker/deprecated/models/column/default.py\nsimilarity index 100%\nrename from services/worker/src/worker/models/column/default.py\nrename to services/worker/src/worker/deprecated/models/column/default.py\ndiff --git a/services/worker/src/worker/models/column/float.py b/services/worker/src/worker/deprecated/models/column/float.py\nsimilarity index 95%\nrename from services/worker/src/worker/models/column/float.py\nrename to services/worker/src/worker/deprecated/models/column/float.py\nindex 66d2071a..e64fb39e 100644\n--- a/services/worker/src/worker/models/column/float.py\n+++ b/services/worker/src/worker/deprecated/models/column/float.py\n@@ -3 +3 @@ from typing import Any, List\n-from worker.models.column.default import (\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/image.py b/services/worker/src/worker/deprecated/models/column/image.py\nsimilarity index 94%\nrename from services/worker/src/worker/models/column/image.py\nrename to services/worker/src/worker/deprecated/models/column/image.py\nindex c0bf7402..3cab7a75 100644\n--- a/services/worker/src/worker/models/column/image.py\n+++ b/services/worker/src/worker/deprecated/models/column/image.py\n@@ -6,2 +6,2 @@ from PIL import Image as PILImage # type: ignore\n-from worker.models.asset import create_image_file\n-from worker.models.column.default import (\n+from worker.deprecated.models.asset import create_image_file\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/image_array2d.py b/services/worker/src/worker/deprecated/models/column/image_array2d.py\nsimilarity index 94%\nrename from services/worker/src/worker/models/column/image_array2d.py\nrename to services/worker/src/worker/deprecated/models/column/image_array2d.py\nindex 5529cfff..db33a4c7 100644\n--- a/services/worker/src/worker/models/column/image_array2d.py\n+++ b/services/worker/src/worker/deprecated/models/column/image_array2d.py\n@@ -7,2 +7,2 @@ from PIL import Image # type: ignore\n-from worker.models.asset import create_image_file\n-from worker.models.column.default import (\n+from worker.deprecated.models.asset import create_image_file\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/image_array3d.py b/services/worker/src/worker/deprecated/models/column/image_array3d.py\nsimilarity index 94%\nrename from services/worker/src/worker/models/column/image_array3d.py\nrename to services/worker/src/worker/deprecated/models/column/image_array3d.py\nindex a547d10f..e4ec9a25 100644\n--- a/services/worker/src/worker/models/column/image_array3d.py\n+++ b/services/worker/src/worker/deprecated/models/column/image_array3d.py\n@@ -7,2 +7,2 @@ from PIL import Image # type: ignore\n-from worker.models.asset import create_image_file\n-from worker.models.column.default import (\n+from worker.deprecated.models.asset import create_image_file\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/image_url.py b/services/worker/src/worker/deprecated/models/column/image_url.py\nsimilarity index 96%\nrename from services/worker/src/worker/models/column/image_url.py\nrename to services/worker/src/worker/deprecated/models/column/image_url.py\nindex db0860bf..1f81a98d 100644\n--- a/services/worker/src/worker/models/column/image_url.py\n+++ b/services/worker/src/worker/deprecated/models/column/image_url.py\n@@ -3 +3 @@ from typing import Any, List\n-from worker.models.column.default import (\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/int.py b/services/worker/src/worker/deprecated/models/column/int.py\nsimilarity index 96%\nrename from services/worker/src/worker/models/column/int.py\nrename to services/worker/src/worker/deprecated/models/column/int.py\nindex 92cd4e4f..ab7c51ce 100644\n--- a/services/worker/src/worker/models/column/int.py\n+++ b/services/worker/src/worker/deprecated/models/column/int.py\n@@ -3 +3 @@ from typing import Any, List\n-from worker.models.column.default import (\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/string.py b/services/worker/src/worker/deprecated/models/column/string.py\nsimilarity index 95%\nrename from services/worker/src/worker/models/column/string.py\nrename to services/worker/src/worker/deprecated/models/column/string.py\nindex 8c50dc2f..e1364298 100644\n--- a/services/worker/src/worker/models/column/string.py\n+++ b/services/worker/src/worker/deprecated/models/column/string.py\n@@ -3 +3 @@ from typing import Any, List\n-from worker.models.column.default import (\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/models/column/timestamp.py b/services/worker/src/worker/deprecated/models/column/timestamp.py\nsimilarity index 98%\nrename from services/worker/src/worker/models/column/timestamp.py\nrename to services/worker/src/worker/deprecated/models/column/timestamp.py\nindex 87682906..7df3b0e2 100644\n--- a/services/worker/src/worker/models/column/timestamp.py\n+++ b/services/worker/src/worker/deprecated/models/column/timestamp.py\n@@ -8 +8 @@ from libutils.types import ColumnDict, TimestampColumnType, TimestampUnit\n-from worker.models.column.default import (\n+from worker.deprecated.models.column.default import (\ndiff --git a/services/worker/src/worker/deprecated/models/dataset.py b/services/worker/src/worker/deprecated/models/dataset.py\nnew file mode 100644\nindex 00000000..0d1f660c\n--- /dev/null\n+++ b/services/worker/src/worker/deprecated/models/dataset.py\n@@ -0,0 +1,16 @@\n+import logging\n+from typing import List, Optional\n+\n+from datasets import get_dataset_config_names, get_dataset_split_names\n+from libutils.types import SplitFullName\n+\n+logger = logging.getLogger(__name__)\n+\n+\n+def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]:\n+ logger.info(f\"get dataset '{dataset_name}' split full names\")\n+ return [\n+ {\"dataset_name\": dataset_name, \"config_name\": config_name, \"split_name\": split_name}\n+ for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\n+ for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n+ ]\ndiff --git a/services/worker/src/worker/models/info.py b/services/worker/src/worker/deprecated/models/info.py\nsimilarity index 100%\nrename from services/worker/src/worker/models/info.py\nrename to services/worker/src/worker/deprecated/models/info.py\ndiff --git a/services/worker/src/worker/models/py.typed b/services/worker/src/worker/deprecated/models/py.typed\nsimilarity index 100%\nrename from services/worker/src/worker/models/py.typed\nrename to services/worker/src/worker/deprecated/models/py.typed\ndiff --git a/services/worker/src/worker/models/row.py b/services/worker/src/worker/deprecated/models/row.py\nsimilarity index 97%\nrename from services/worker/src/worker/models/row.py\nrename to services/worker/src/worker/deprecated/models/row.py\nindex 4c3f4c6a..d5fe3a29 100644\n--- a/services/worker/src/worker/models/row.py\n+++ b/services/worker/src/worker/deprecated/models/row.py\n@@ -6 +5,0 @@ from datasets import Dataset, IterableDataset, load_dataset\n-from libutils.utils import retry\n@@ -8,0 +8 @@ from worker.constants import DEFAULT_ROWS_MAX_NUMBER\n+from worker.utils import retry\ndiff --git a/services/worker/src/worker/models/split.py b/services/worker/src/worker/deprecated/models/split.py\nsimilarity index 97%\nrename from services/worker/src/worker/models/split.py\nrename to services/worker/src/worker/deprecated/models/split.py\nindex fa023b5b..010c506c 100644\n--- a/services/worker/src/worker/models/split.py\n+++ b/services/worker/src/worker/deprecated/models/split.py\n@@ -10,3 +10,3 @@ from worker.config import MIN_CELL_BYTES\n-from worker.models.column import CellTypeError, Column, get_columns\n-from worker.models.info import get_info\n-from worker.models.row import Row, get_rows\n+from worker.deprecated.models.column import CellTypeError, Column, get_columns\n+from worker.deprecated.models.info import get_info\n+from worker.deprecated.models.row import Row, get_rows\ndiff --git a/services/worker/src/worker/deprecated/refresh.py b/services/worker/src/worker/deprecated/refresh.py\nnew file mode 100644\nindex 00000000..3ea92a6d\n--- /dev/null\n+++ b/services/worker/src/worker/deprecated/refresh.py\n@@ -0,0 +1,71 @@\n+import logging\n+from typing import Optional\n+\n+from libcache.cache import (\n+ upsert_dataset,\n+ upsert_dataset_error,\n+ upsert_split,\n+ upsert_split_error,\n+)\n+from libqueue.queue import add_split_job\n+from libutils.exceptions import Status400Error, Status500Error, StatusError\n+\n+from worker.deprecated.models.dataset import get_dataset_split_full_names\n+from worker.deprecated.models.split import get_split\n+\n+logger = logging.getLogger(__name__)\n+\n+\n+def refresh_dataset(dataset_name: str, hf_token: Optional[str] = None) -> None:\n+ try:\n+ try:\n+ split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n+ except Exception as err:\n+ raise Status400Error(\"Cannot get the split names for the dataset.\", err) from err\n+ upsert_dataset(dataset_name, split_full_names)\n+ logger.debug(f\"dataset={dataset_name} is valid, cache updated\")\n+ for split_full_name in split_full_names:\n+ add_split_job(\n+ split_full_name[\"dataset_name\"], split_full_name[\"config_name\"], split_full_name[\"split_name\"]\n+ )\n+ except StatusError as err:\n+ upsert_dataset_error(dataset_name, err)\n+ logger.debug(f\"dataset={dataset_name} had error, cache updated\")\n+ raise\n+ except Exception as err:\n+ upsert_dataset_error(dataset_name, Status500Error(str(err)))\n+ logger.debug(f\"dataset={dataset_name} had error, cache updated\")\n+ raise\n+\n+\n+def refresh_split(\n+ dataset_name: str,\n+ config_name: str,\n+ split_name: str,\n+ hf_token: Optional[str] = None,\n+ max_size_fallback: Optional[int] = None,\n+ rows_max_bytes: Optional[int] = None,\n+ rows_max_number: Optional[int] = None,\n+ rows_min_number: Optional[int] = None,\n+):\n+ try:\n+ split = get_split(\n+ dataset_name,\n+ config_name,\n+ split_name,\n+ hf_token=hf_token,\n+ max_size_fallback=max_size_fallback,\n+ rows_max_bytes=rows_max_bytes,\n+ rows_max_number=rows_max_number,\n+ rows_min_number=rows_min_number,\n+ )\n+ upsert_split(dataset_name, config_name, split_name, split)\n+ logger.debug(f\"dataset={dataset_name} config={config_name} split={split_name} is valid, cache updated\")\n+ except StatusError as err:\n+ upsert_split_error(dataset_name, config_name, split_name, err)\n+ logger.debug(f\"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated\")\n+ raise\n+ except Exception as err:\n+ upsert_split_error(dataset_name, config_name, split_name, Status500Error(str(err)))\n+ logger.debug(f\"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated\")\n+ raise\ndiff --git a/services/worker/src/worker/models/features.py b/services/worker/src/worker/features.py\nsimilarity index 98%\nrename from services/worker/src/worker/models/features.py\nrename to services/worker/src/worker/features.py\nindex e9dbbaeb..e420bbba 100644\n--- a/services/worker/src/worker/models/features.py\n+++ b/services/worker/src/worker/features.py\n@@ -19 +19 @@ from PIL import Image as PILImage # type: ignore\n-from worker.models.asset import create_audio_files, create_image_file\n+from worker.asset import create_audio_files, create_image_file\ndiff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py\nindex a4c4df58..b97f6237 100644\n--- a/services/worker/src/worker/main.py\n+++ b/services/worker/src/worker/main.py\n@@ -3,0 +4 @@ import time\n+from http import HTTPStatus\n@@ -6,2 +7 @@ from libcache.asset import show_assets_dir\n-from libcache.cache import connect_to_cache\n-from libcache.simple_cache import HTTPStatus\n+from libcache.simple_cache import connect_to_cache\n@@ -10 +9,0 @@ from libqueue.queue import (\n- add_dataset_job,\n@@ -12 +10,0 @@ from libqueue.queue import (\n- add_split_job,\n@@ -15 +12,0 @@ from libqueue.queue import (\n- finish_dataset_job,\n@@ -17 +13,0 @@ from libqueue.queue import (\n- finish_split_job,\n@@ -19 +14,0 @@ from libqueue.queue import (\n- get_dataset_job,\n@@ -21 +15,0 @@ from libqueue.queue import (\n- get_split_job,\n@@ -24 +17,0 @@ from libqueue.queue import (\n-from libutils.exceptions import Status500Error, StatusError\n@@ -47,82 +40,2 @@ from worker.config import (\n-from worker.refresh import (\n- refresh_dataset,\n- refresh_first_rows,\n- refresh_split,\n- refresh_splits,\n-)\n-\n-\n-def process_next_dataset_job() -> bool:\n- logger = logging.getLogger(\"datasets_server.worker\")\n- logger.debug(\"try to process a dataset job\")\n-\n- try:\n- job_id, dataset_name, retries = get_dataset_job(MAX_JOBS_PER_DATASET)\n- logger.debug(f\"job assigned: {job_id} for dataset={dataset_name}\")\n- except EmptyQueue:\n- logger.debug(\"no job in the queue\")\n- return False\n-\n- success = False\n- retry = False\n- try:\n- logger.info(f\"compute dataset={dataset_name}\")\n- refresh_dataset(dataset_name=dataset_name, hf_token=HF_TOKEN)\n- success = True\n- except StatusError as e:\n- if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES:\n- retry = True\n- # in any case: don't raise the StatusError, and go to finally\n- finally:\n- finish_dataset_job(job_id, success=success)\n- result = \"success\" if success else \"error\"\n- logger.debug(f\"job finished with {result}: {job_id} for dataset={dataset_name}\")\n- if retry:\n- add_dataset_job(dataset_name, retries=retries + 1)\n- logger.debug(f\"job re-enqueued (retries: {retries}) for dataset={dataset_name}\")\n- return True\n-\n-\n-def process_next_split_job() -> bool:\n- logger = logging.getLogger(\"datasets_server.worker\")\n- logger.debug(\"try to process a split job\")\n-\n- try:\n- job_id, dataset_name, config_name, split_name, retries = get_split_job(MAX_JOBS_PER_DATASET)\n- logger.debug(f\"job assigned: {job_id} for dataset={dataset_name} config={config_name} split={split_name}\")\n- except EmptyQueue:\n- logger.debug(\"no job in the queue\")\n- return False\n-\n- success = False\n- retry = False\n- try:\n- logger.info(f\"compute dataset={dataset_name} config={config_name} split={split_name}\")\n- refresh_split(\n- dataset_name=dataset_name,\n- config_name=config_name,\n- split_name=split_name,\n- hf_token=HF_TOKEN,\n- max_size_fallback=MAX_SIZE_FALLBACK,\n- rows_max_bytes=ROWS_MAX_BYTES,\n- rows_max_number=ROWS_MAX_NUMBER,\n- rows_min_number=ROWS_MIN_NUMBER,\n- )\n- success = True\n- except StatusError as e:\n- if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES:\n- retry = True\n- # in any case: don't raise the StatusError, and go to finally\n- finally:\n- finish_split_job(job_id, success=success)\n- result = \"success\" if success else \"error\"\n- logger.debug(\n- f\"job finished with {result}: {job_id} for dataset={dataset_name} config={config_name} split={split_name}\"\n- )\n- if retry:\n- add_split_job(dataset_name, config_name, split_name, retries=retries + 1)\n- logger.debug(\n- f\"job re-enqueued (retries: {retries}) for\"\n- f\" dataset={dataset_name} config={config_name} split={split_name}\"\n- )\n- return True\n+from worker.deprecated.main import process_next_dataset_job, process_next_split_job\n+from worker.refresh import refresh_first_rows, refresh_splits\n@@ -146 +59 @@ def process_next_splits_job() -> bool:\n- http_status = refresh_splits(dataset_name=dataset_name, hf_token=HF_TOKEN)\n+ http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_token=HF_TOKEN)\n@@ -148 +61 @@ def process_next_splits_job() -> bool:\n- if http_status == HTTPStatus.INTERNAL_SERVER_ERROR and retries < MAX_JOB_RETRIES:\n+ if can_retry and retries < MAX_JOB_RETRIES:\n@@ -175 +88 @@ def process_next_first_rows_job() -> bool:\n- http_status = refresh_first_rows(\n+ http_status, can_retry = refresh_first_rows(\n@@ -187 +100 @@ def process_next_first_rows_job() -> bool:\n- if http_status == HTTPStatus.INTERNAL_SERVER_ERROR and retries < MAX_JOB_RETRIES:\n+ if can_retry and retries < MAX_JOB_RETRIES:\ndiff --git a/services/worker/src/worker/models/dataset.py b/services/worker/src/worker/models/dataset.py\ndeleted file mode 100644\nindex 572c08ca..00000000\n--- a/services/worker/src/worker/models/dataset.py\n+++ /dev/null\n@@ -1,21 +0,0 @@\n-import logging\n-from typing import List, Optional\n-\n-from datasets import get_dataset_config_names, get_dataset_split_names\n-from libutils.exceptions import Status400Error\n-from libutils.types import SplitFullName\n-\n-logger = logging.getLogger(__name__)\n-\n-\n-def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]:\n- logger.info(f\"get dataset '{dataset_name}' split full names\")\n-\n- try:\n- return [\n- {\"dataset_name\": dataset_name, \"config_name\": config_name, \"split_name\": split_name}\n- for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\n- for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n- ]\n- except Exception as err:\n- raise Status400Error(\"Cannot get the split names for the dataset.\", err) from err\ndiff --git a/services/worker/src/worker/models/first_rows.py b/services/worker/src/worker/models/first_rows.py\ndeleted file mode 100644\nindex 6c31c970..00000000\n--- a/services/worker/src/worker/models/first_rows.py\n+++ /dev/null\n@@ -1,238 +0,0 @@\n-import logging\n-import sys\n-from typing import Any, Dict, List, Optional\n-\n-from datasets import Features, IterableDataset, load_dataset\n-from libutils.exceptions import Status400Error, Status500Error\n-from libutils.types import RowItem\n-from libutils.utils import orjson_dumps\n-\n-from worker.config import MIN_CELL_BYTES\n-from worker.models.features import get_cell_value\n-from worker.models.info import get_info\n-from worker.models.row import Row, get_rows\n-\n-logger = logging.getLogger(__name__)\n-\n-\n-def get_size_in_bytes(obj: Any):\n- return sys.getsizeof(orjson_dumps(obj))\n- # ^^ every row is transformed here in a string, because it corresponds to\n- # the size the row will contribute in the JSON response to /rows endpoint.\n- # The size of the string is measured in bytes.\n- # An alternative would have been to look at the memory consumption (pympler) but it's\n- # less related to what matters here (size of the JSON, number of characters in the\n- # dataset viewer table on the hub)\n-\n-\n-def truncate_cell(cell: Any, min_cell_bytes: int) -> str:\n- return orjson_dumps(cell)[:min_cell_bytes].decode(\"utf8\", \"ignore\")\n-\n-\n-# Mutates row_item, and returns it anyway\n-def truncate_row_item(row_item: RowItem) -> RowItem:\n- row = {}\n- for column_name, cell in row_item[\"row\"].items():\n- # for now: all the cells, but the smallest ones, are truncated\n- cell_bytes = get_size_in_bytes(cell)\n- if cell_bytes > MIN_CELL_BYTES:\n- row_item[\"truncated_cells\"].append(column_name)\n- row[column_name] = truncate_cell(cell, MIN_CELL_BYTES)\n- else:\n- row[column_name] = cell\n- row_item[\"row\"] = row\n- return row_item\n-\n-\n-# Mutates row_items, and returns them anyway\n-def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[RowItem]:\n- # compute the current size\n- rows_bytes = sum(get_size_in_bytes(row_item) for row_item in row_items)\n-\n- # Loop backwards, so that the last rows are truncated first\n- for row_item in reversed(row_items):\n- if rows_bytes < rows_max_bytes:\n- break\n- previous_size = get_size_in_bytes(row_item)\n- row_item = truncate_row_item(row_item)\n- new_size = get_size_in_bytes(row_item)\n- rows_bytes += new_size - previous_size\n- row_idx = row_item[\"row_idx\"]\n- logger.debug(f\"the size of the rows is now ({rows_bytes}) after truncating row idx={row_idx}\")\n- return row_items\n-\n-\n-def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: int, row: Row) -> RowItem:\n- return {\n- \"dataset\": dataset_name,\n- \"config\": config_name,\n- \"split\": split_name,\n- \"row_idx\": row_idx,\n- \"row\": row,\n- \"truncated_cells\": [],\n- }\n-\n-\n-# in JSON, dicts do not carry any order, so we need to return a list\n-#\n-# > An object is an *unordered* collection of zero or more name/value pairs, where a name is a string and a value\n-# is a string, number, boolean, null, object, or array.\n-# > An array is an *ordered* sequence of zero or more values.\n-# > The terms \"object\" and \"array\" come from the conventions of JavaScript.\n-# from https://stackoverflow.com/a/7214312/7351594 / https://www.rfc-editor.org/rfc/rfc7159.html\n-def to_features_list(dataset_name: str, config_name: str, split_name: str, features: Features) -> List[Dict]:\n- features_dict = features.to_dict()\n- return [\n- {\n- \"dataset\": dataset_name,\n- \"config\": config_name,\n- \"split\": split_name,\n- \"idx\": idx,\n- \"name\": name,\n- \"type\": features_dict[name],\n- }\n- for idx, name in enumerate(features)\n- ]\n-\n-\n-def create_truncated_row_items(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n- rows: List[Row],\n- rows_max_bytes: Optional[int] = None,\n- rows_min_number: Optional[int] = None,\n-) -> List[RowItem]:\n- row_items = []\n- rows_bytes = 0\n- if rows_min_number is None:\n- rows_min_number = 0\n- else:\n- logger.debug(f\"min number of rows in the response: '{rows_min_number}'\")\n- if rows_max_bytes is not None:\n- logger.debug(f\"max number of bytes in the response: '{rows_max_bytes}'\")\n-\n- # two restrictions must be enforced:\n- # - at least rows_min_number rows\n- # - at most rows_max_bytes bytes\n- # To enforce this:\n- # 1. first get the first rows_min_number rows\n- for row_idx, row in enumerate(rows[:rows_min_number]):\n- row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row)\n- if rows_max_bytes is not None:\n- rows_bytes += get_size_in_bytes(row_item)\n- row_items.append(row_item)\n-\n- # 2. if the total is over the bytes limit, truncate the values, iterating backwards starting\n- # from the last rows, until getting under the threshold\n- if rows_max_bytes is not None and rows_bytes >= rows_max_bytes:\n- logger.debug(\n- f\"the size of the first {rows_min_number} rows ({rows_bytes}) is above the max number of bytes\"\n- f\" ({rows_max_bytes}), they will be truncated\"\n- )\n- return truncate_row_items(row_items, rows_max_bytes)\n-\n- # 3. else: add the remaining rows until the end, or until the bytes threshold\n- for idx, row in enumerate(rows[rows_min_number:]):\n- row_idx = rows_min_number + idx\n- row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row)\n- if rows_max_bytes is not None:\n- rows_bytes += get_size_in_bytes(row_item)\n- if rows_bytes >= rows_max_bytes:\n- logger.debug(\n- f\"the rows in the split have been truncated to {row_idx} row(s) to keep the size\"\n- f\" ({rows_bytes}) under the limit ({rows_max_bytes})\"\n- )\n- break\n- row_items.append(row_item)\n- return row_items\n-\n-\n-def get_typed_rows(\n- dataset_name: str, config_name: str, split_name: str, rows: List[Row], features: Features, assets_base_url: str\n-) -> List[Row]:\n- return [\n- {\n- featureName: get_cell_value(\n- dataset_name,\n- config_name,\n- split_name,\n- row_idx,\n- row[featureName],\n- featureName,\n- fieldType,\n- assets_base_url,\n- )\n- for (featureName, fieldType) in features.items()\n- }\n- for row_idx, row in enumerate(rows)\n- ]\n-\n-\n-def get_first_rows(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n- assets_base_url: str,\n- hf_token: Optional[str] = None,\n- max_size_fallback: Optional[int] = None,\n- rows_max_bytes: Optional[int] = None,\n- rows_max_number: Optional[int] = None,\n- rows_min_number: Optional[int] = None,\n-) -> Dict:\n- logger.info(f\"get first-rows for dataset={dataset_name} config={config_name} split={split_name}\")\n-\n- # features\n- info = get_info(dataset_name, config_name, hf_token)\n- if not info.features:\n- try:\n- # https://github.com/huggingface/datasets/blob/f5826eff9b06ab10dba1adfa52543341ef1e6009/src/datasets/iterable_dataset.py#L1255\n- iterable_dataset = load_dataset(\n- dataset_name,\n- name=config_name,\n- split=split_name,\n- streaming=True,\n- use_auth_token=hf_token,\n- )\n- if not isinstance(iterable_dataset, IterableDataset):\n- raise TypeError(\"load_dataset should return an IterableDataset\")\n- iterable_dataset = iterable_dataset._resolve_features()\n- if not isinstance(iterable_dataset, IterableDataset):\n- raise TypeError(\"load_dataset should return an IterableDataset\")\n- features = iterable_dataset.features\n- except Exception as err:\n- raise Status400Error(\"The split features (columns) cannot be extracted.\", err) from err\n- else:\n- features = info.features\n-\n- # rows\n- fallback = (\n- max_size_fallback is not None and info.size_in_bytes is not None and info.size_in_bytes < max_size_fallback\n- )\n-\n- try:\n- rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number)\n- except Exception as err:\n- if not fallback:\n- raise Status400Error(\n- \"Cannot load the dataset split (in streaming mode) to extract the first rows.\", err\n- ) from err\n- try:\n- rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number)\n- except Exception as err:\n- raise Status400Error(\n- \"Cannot load the dataset split (in normal download mode) to extract the first rows.\", err\n- ) from err\n-\n- try:\n- typed_rows = get_typed_rows(dataset_name, config_name, split_name, rows, features, assets_base_url)\n- except Exception as err:\n- raise Status500Error(\"The dataset values post-processing failed. Please report the issue.\", err) from err\n-\n- row_items = create_truncated_row_items(\n- dataset_name, config_name, split_name, typed_rows, rows_max_bytes, rows_min_number\n- )\n- return {\n- \"features\": to_features_list(dataset_name, config_name, split_name, features),\n- \"rows\": row_items,\n- }\ndiff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py\nindex ffd02c7f..8bfec024 100644\n--- a/services/worker/src/worker/refresh.py\n+++ b/services/worker/src/worker/refresh.py\n@@ -2 +2,2 @@ import logging\n-from typing import Dict, List, Optional\n+from http import HTTPStatus\n+from typing import Optional, Tuple\n@@ -4,6 +4,0 @@ from typing import Dict, List, Optional\n-from libcache.cache import (\n- upsert_dataset,\n- upsert_dataset_error,\n- upsert_split,\n- upsert_split_error,\n-)\n@@ -11 +5,0 @@ from libcache.simple_cache import (\n- HTTPStatus,\n@@ -17,2 +11 @@ from libcache.simple_cache import (\n-from libqueue.queue import add_first_rows_job, add_split_job\n-from libutils.exceptions import Status400Error, Status500Error, StatusError\n+from libqueue.queue import add_first_rows_job\n@@ -20,4 +13,9 @@ from libutils.exceptions import Status400Error, Status500Error, StatusError\n-from worker.models.dataset import get_dataset_split_full_names\n-from worker.models.first_rows import get_first_rows\n-from worker.models.info import DatasetInfo, get_info\n-from worker.models.split import get_split\n+from worker.responses.first_rows import get_first_rows_response\n+from worker.responses.splits import get_splits_response\n+from worker.utils import (\n+ ConfigNotFoundError,\n+ DatasetNotFoundError,\n+ SplitNotFoundError,\n+ UnexpectedError,\n+ WorkerCustomError,\n+)\n@@ -28 +26 @@ logger = logging.getLogger(__name__)\n-def refresh_dataset(dataset_name: str, hf_token: Optional[str] = None) -> None:\n+def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]:\n@@ -30,84 +28,2 @@ def refresh_dataset(dataset_name: str, hf_token: Optional[str] = None) -> None:\n- split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n- upsert_dataset(dataset_name, split_full_names)\n- logger.debug(f\"dataset={dataset_name} is valid, cache updated\")\n- for split_full_name in split_full_names:\n- add_split_job(\n- split_full_name[\"dataset_name\"], split_full_name[\"config_name\"], split_full_name[\"split_name\"]\n- )\n- except StatusError as err:\n- upsert_dataset_error(dataset_name, err)\n- logger.debug(f\"dataset={dataset_name} had error, cache updated\")\n- raise\n- except Exception as err:\n- upsert_dataset_error(dataset_name, Status500Error(str(err)))\n- logger.debug(f\"dataset={dataset_name} had error, cache updated\")\n- raise\n-\n-\n-def refresh_split(\n- dataset_name: str,\n- config_name: str,\n- split_name: str,\n- hf_token: Optional[str] = None,\n- max_size_fallback: Optional[int] = None,\n- rows_max_bytes: Optional[int] = None,\n- rows_max_number: Optional[int] = None,\n- rows_min_number: Optional[int] = None,\n-):\n- try:\n- split = get_split(\n- dataset_name,\n- config_name,\n- split_name,\n- hf_token=hf_token,\n- max_size_fallback=max_size_fallback,\n- rows_max_bytes=rows_max_bytes,\n- rows_max_number=rows_max_number,\n- rows_min_number=rows_min_number,\n- )\n- upsert_split(dataset_name, config_name, split_name, split)\n- logger.debug(f\"dataset={dataset_name} config={config_name} split={split_name} is valid, cache updated\")\n- except StatusError as err:\n- upsert_split_error(dataset_name, config_name, split_name, err)\n- logger.debug(f\"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated\")\n- raise\n- except Exception as err:\n- upsert_split_error(dataset_name, config_name, split_name, Status500Error(str(err)))\n- logger.debug(f\"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated\")\n- raise\n-\n-\n-def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPStatus:\n- try:\n- split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n- # get the number of bytes and examples for each split\n- config_info: Dict[str, DatasetInfo] = {}\n- splits: List[Dict] = []\n- for split_full_name in split_full_names:\n- try:\n- dataset = split_full_name[\"dataset_name\"]\n- config = split_full_name[\"config_name\"]\n- split = split_full_name[\"split_name\"]\n- if config not in config_info:\n- config_info[config] = get_info(\n- dataset_name=split_full_name[\"dataset_name\"],\n- config_name=split_full_name[\"config_name\"],\n- hf_token=hf_token,\n- )\n- info = config_info[config]\n- num_bytes = info.splits[split].num_bytes if info.splits else None\n- num_examples = info.splits[split].num_examples if info.splits else None\n- except Exception:\n- num_bytes = None\n- num_examples = None\n- splits.append(\n- {\n- \"dataset_name\": dataset,\n- \"config_name\": config,\n- \"split_name\": split,\n- \"num_bytes\": num_bytes,\n- \"num_examples\": num_examples,\n- }\n- )\n- response = {\"splits\": splits}\n- upsert_splits_response(dataset_name, response, HTTPStatus.OK)\n+ response = get_splits_response(dataset_name, hf_token)\n+ upsert_splits_response(dataset_name, dict(response), HTTPStatus.OK)\n@@ -117 +33 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta\n- new_splits = [(s[\"dataset_name\"], s[\"config_name\"], s[\"split_name\"]) for s in split_full_names]\n+ new_splits = [(s[\"dataset_name\"], s[\"config_name\"], s[\"split_name\"]) for s in response[\"splits\"]]\n@@ -128,7 +44,5 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta\n- return HTTPStatus.OK\n- except Status400Error as err:\n- upsert_splits_response(dataset_name, dict(err.as_response()), HTTPStatus.BAD_REQUEST)\n- logger.debug(f\"splits response for dataset={dataset_name} had BAD_REQUEST error, cache updated\")\n- return HTTPStatus.BAD_REQUEST\n- except Exception as err:\n- err = err if isinstance(err, Status500Error) else Status500Error(str(err))\n+ return HTTPStatus.OK, False\n+ except DatasetNotFoundError as err:\n+ logger.debug(f\"the dataset={dataset_name} could not be found, don't update the cache\")\n+ return err.status_code, False\n+ except WorkerCustomError as err:\n@@ -138,2 +52,3 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta\n- HTTPStatus.INTERNAL_SERVER_ERROR,\n- dict(err.as_content()),\n+ err.status_code,\n+ err.code,\n+ dict(err.as_response_with_cause()),\n@@ -141,2 +56,13 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta\n- logger.debug(f\"splits response for dataset={dataset_name} had INTERNAL_SERVER_ERROR error, cache updated\")\n- return HTTPStatus.INTERNAL_SERVER_ERROR\n+ logger.debug(f\"splits response for dataset={dataset_name} had an error, cache updated\")\n+ return err.status_code, False\n+ except Exception as err:\n+ e = UnexpectedError(str(err), err)\n+ upsert_splits_response(\n+ dataset_name,\n+ dict(e.as_response()),\n+ e.status_code,\n+ e.code,\n+ dict(e.as_response_with_cause()),\n+ )\n+ logger.debug(f\"splits response for dataset={dataset_name} had a server error, cache updated\")\n+ return e.status_code, True\n@@ -155 +81 @@ def refresh_first_rows(\n-) -> HTTPStatus:\n+) -> Tuple[HTTPStatus, bool]:\n@@ -157 +83 @@ def refresh_first_rows(\n- response = get_first_rows(\n+ response = get_first_rows_response(\n@@ -168 +94 @@ def refresh_first_rows(\n- upsert_first_rows_response(dataset_name, config_name, split_name, response, HTTPStatus.OK)\n+ upsert_first_rows_response(dataset_name, config_name, split_name, dict(response), HTTPStatus.OK)\n@@ -170,2 +96,8 @@ def refresh_first_rows(\n- return HTTPStatus.OK\n- except Status400Error as err:\n+ return HTTPStatus.OK, False\n+ except (DatasetNotFoundError, ConfigNotFoundError, SplitNotFoundError) as err:\n+ logger.debug(\n+ f\"the dataset={dataset_name}, config {config_name} or split {split_name} could not be found, don't update\"\n+ \" the cache\"\n+ )\n+ return err.status_code, False\n+ except WorkerCustomError as err:\n@@ -173 +105,7 @@ def refresh_first_rows(\n- dataset_name, config_name, split_name, dict(err.as_response()), HTTPStatus.BAD_REQUEST\n+ dataset_name,\n+ config_name,\n+ split_name,\n+ dict(err.as_response()),\n+ err.status_code,\n+ err.code,\n+ dict(err.as_response_with_cause()),\n@@ -176,2 +114,2 @@ def refresh_first_rows(\n- f\"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had BAD_REQUEST\"\n- \" error, cache updated\"\n+ f\"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had an error,\"\n+ \" cache updated\"\n@@ -179 +117 @@ def refresh_first_rows(\n- return HTTPStatus.BAD_REQUEST\n+ return err.status_code, False\n@@ -181 +119 @@ def refresh_first_rows(\n- err = err if isinstance(err, Status500Error) else Status500Error(str(err))\n+ e = UnexpectedError(str(err), err)\n@@ -186,3 +124,4 @@ def refresh_first_rows(\n- dict(err.as_response()),\n- HTTPStatus.INTERNAL_SERVER_ERROR,\n- dict(err.as_content()),\n+ dict(e.as_response()),\n+ e.status_code,\n+ e.code,\n+ dict(e.as_response_with_cause()),\n@@ -191,2 +130,2 @@ def refresh_first_rows(\n- f\"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had\"\n- \" INTERNAL_SERVER_ERROR error, cache updated\"\n+ f\"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had a server\"\n+ \" error, cache updated\"\n@@ -194 +133 @@ def refresh_first_rows(\n- return HTTPStatus.INTERNAL_SERVER_ERROR\n+ return e.status_code, True\ndiff --git a/services/worker/src/worker/responses/__init__.py b/services/worker/src/worker/responses/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py\nnew file mode 100644\nindex 00000000..956df156\n--- /dev/null\n+++ b/services/worker/src/worker/responses/first_rows.py\n@@ -0,0 +1,384 @@\n+import itertools\n+import logging\n+import sys\n+from typing import Any, Dict, List, Optional, TypedDict\n+\n+from datasets import (\n+ Dataset,\n+ Features,\n+ IterableDataset,\n+ get_dataset_config_info,\n+ load_dataset,\n+)\n+from libutils.utils import orjson_dumps\n+\n+from worker.config import MIN_CELL_BYTES\n+from worker.constants import DEFAULT_ROWS_MAX_BYTES, DEFAULT_ROWS_MAX_NUMBER\n+from worker.features import get_cell_value\n+from worker.responses.splits import get_splits_response\n+from worker.utils import (\n+ ConfigNotFoundError,\n+ FeaturesError,\n+ InfoError,\n+ NormalRowsError,\n+ RowsPostProcessingError,\n+ SplitNotFoundError,\n+ StreamingRowsError,\n+ retry,\n+)\n+\n+logger = logging.getLogger(__name__)\n+\n+\n+Row = Dict[str, Any]\n+\n+\n+class FeatureItem(TypedDict):\n+ dataset: str\n+ config: str\n+ split: str\n+ feature_idx: int\n+ name: str\n+ type: Dict[str, Any]\n+\n+\n+class RowItem(TypedDict):\n+ dataset: str\n+ config: str\n+ split: str\n+ row_idx: int\n+ row: Dict[str, Any]\n+ truncated_cells: List[str]\n+\n+\n+class FirstRowsResponse(TypedDict):\n+ features: List[FeatureItem]\n+ rows: List[RowItem]\n+\n+\n+@retry(logger=logger)\n+def get_rows(\n+ dataset_name: str,\n+ config_name: str,\n+ split_name: str,\n+ streaming: bool,\n+ rows_max_number: int,\n+ hf_token: Optional[str] = None,\n+) -> List[Row]:\n+ dataset = load_dataset(\n+ dataset_name,\n+ name=config_name,\n+ split=split_name,\n+ streaming=streaming,\n+ use_auth_token=hf_token,\n+ )\n+ if streaming:\n+ if not isinstance(dataset, IterableDataset):\n+ raise TypeError(\"load_dataset should return an IterableDataset in streaming mode\")\n+ elif not isinstance(dataset, Dataset):\n+ raise TypeError(\"load_dataset should return a Dataset in normal mode\")\n+ rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n+ # ^^ to be able to detect if a split has exactly ROWS_MAX_NUMBER rows\n+ if len(rows_plus_one) <= rows_max_number:\n+ logger.debug(f\"all the rows in the split have been fetched ({len(rows_plus_one)})\")\n+ else:\n+ logger.debug(f\"the rows in the split have been truncated ({rows_max_number} rows)\")\n+ return rows_plus_one[:rows_max_number]\n+\n+\n+def get_size_in_bytes(obj: Any):\n+ return sys.getsizeof(orjson_dumps(obj))\n+ # ^^ every row is transformed here in a string, because it corresponds to\n+ # the size the row will contribute in the JSON response to /rows endpoint.\n+ # The size of the string is measured in bytes.\n+ # An alternative would have been to look at the memory consumption (pympler) but it's\n+ # less related to what matters here (size of the JSON, number of characters in the\n+ # dataset viewer table on the hub)\n+\n+\n+def truncate_cell(cell: Any, min_cell_bytes: int) -> str:\n+ return orjson_dumps(cell)[:min_cell_bytes].decode(\"utf8\", \"ignore\")\n+\n+\n+# Mutates row_item, and returns it anyway\n+def truncate_row_item(row_item: RowItem) -> RowItem:\n+ row = {}\n+ for column_name, cell in row_item[\"row\"].items():\n+ # for now: all the cells, but the smallest ones, are truncated\n+ cell_bytes = get_size_in_bytes(cell)\n+ if cell_bytes > MIN_CELL_BYTES:\n+ row_item[\"truncated_cells\"].append(column_name)\n+ row[column_name] = truncate_cell(cell, MIN_CELL_BYTES)\n+ else:\n+ row[column_name] = cell\n+ row_item[\"row\"] = row\n+ return row_item\n+\n+\n+# Mutates row_items, and returns them anyway\n+def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[RowItem]:\n+ # compute the current size\n+ rows_bytes = sum(get_size_in_bytes(row_item) for row_item in row_items)\n+\n+ # Loop backwards, so that the last rows are truncated first\n+ for row_item in reversed(row_items):\n+ if rows_bytes < rows_max_bytes:\n+ break\n+ previous_size = get_size_in_bytes(row_item)\n+ row_item = truncate_row_item(row_item)\n+ new_size = get_size_in_bytes(row_item)\n+ rows_bytes += new_size - previous_size\n+ row_idx = row_item[\"row_idx\"]\n+ logger.debug(f\"the size of the rows is now ({rows_bytes}) after truncating row idx={row_idx}\")\n+ return row_items\n+\n+\n+def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: int, row: Row) -> RowItem:\n+ return {\n+ \"dataset\": dataset_name,\n+ \"config\": config_name,\n+ \"split\": split_name,\n+ \"row_idx\": row_idx,\n+ \"row\": row,\n+ \"truncated_cells\": [],\n+ }\n+\n+\n+def create_truncated_row_items(\n+ dataset_name: str,\n+ config_name: str,\n+ split_name: str,\n+ rows: List[Row],\n+ rows_max_bytes: int,\n+ rows_min_number: int,\n+) -> List[RowItem]:\n+ row_items = []\n+ rows_bytes = 0\n+\n+ # two restrictions must be enforced:\n+ # - at least rows_min_number rows\n+ # - at most rows_max_bytes bytes\n+ # To enforce this:\n+ # 1. first get the first rows_min_number rows\n+ for row_idx, row in enumerate(rows[:rows_min_number]):\n+ row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row)\n+ rows_bytes += get_size_in_bytes(row_item)\n+ row_items.append(row_item)\n+\n+ # 2. if the total is over the bytes limit, truncate the values, iterating backwards starting\n+ # from the last rows, until getting under the threshold\n+ if rows_bytes >= rows_max_bytes:\n+ logger.debug(\n+ f\"the size of the first {rows_min_number} rows ({rows_bytes}) is above the max number of bytes\"\n+ f\" ({rows_max_bytes}), they will be truncated\"\n+ )\n+ return truncate_row_items(row_items, rows_max_bytes)\n+\n+ # 3. else: add the remaining rows until the end, or until the bytes threshold\n+ for idx, row in enumerate(rows[rows_min_number:]):\n+ row_idx = rows_min_number + idx\n+ row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row)\n+ rows_bytes += get_size_in_bytes(row_item)\n+ if rows_bytes >= rows_max_bytes:\n+ logger.debug(\n+ f\"the rows in the split have been truncated to {row_idx} row(s) to keep the size\"\n+ f\" ({rows_bytes}) under the limit ({rows_max_bytes})\"\n+ )\n+ break\n+ row_items.append(row_item)\n+ return row_items\n+\n+\n+def transform_rows(\n+ dataset_name: str, config_name: str, split_name: str, rows: List[Row], features: Features, assets_base_url: str\n+) -> List[Row]:\n+ return [\n+ {\n+ featureName: get_cell_value(\n+ dataset_name,\n+ config_name,\n+ split_name,\n+ row_idx,\n+ row[featureName],\n+ featureName,\n+ fieldType,\n+ assets_base_url,\n+ )\n+ for (featureName, fieldType) in features.items()\n+ }\n+ for row_idx, row in enumerate(rows)\n+ ]\n+\n+\n+# in JSON, dicts do not carry any order, so we need to return a list\n+#\n+# > An object is an *unordered* collection of zero or more name/value pairs, where a name is a string and a value\n+# is a string, number, boolean, null, object, or array.\n+# > An array is an *ordered* sequence of zero or more values.\n+# > The terms \"object\" and \"array\" come from the conventions of JavaScript.\n+# from https://stackoverflow.com/a/7214312/7351594 / https://www.rfc-editor.org/rfc/rfc7159.html\n+def to_features_list(dataset_name: str, config_name: str, split_name: str, features: Features) -> List[FeatureItem]:\n+ features_dict = features.to_dict()\n+ return [\n+ {\n+ \"dataset\": dataset_name,\n+ \"config\": config_name,\n+ \"split\": split_name,\n+ \"feature_idx\": idx,\n+ \"name\": name,\n+ \"type\": features_dict[name],\n+ }\n+ for idx, name in enumerate(features)\n+ ]\n+\n+\n+def get_first_rows_response(\n+ dataset_name: str,\n+ config_name: str,\n+ split_name: str,\n+ assets_base_url: str,\n+ hf_token: Optional[str] = None,\n+ max_size_fallback: Optional[int] = None,\n+ rows_max_bytes: Optional[int] = None,\n+ rows_max_number: Optional[int] = None,\n+ rows_min_number: Optional[int] = None,\n+) -> FirstRowsResponse:\n+ \"\"\"\n+ Get the response of /first-rows for one specific split of a dataset from huggingface.co.\n+ Dataset can be private or gated if you pass an acceptable token.\n+ Args:\n+ dataset_name (`str`):\n+ A namespace (user or an organization) and a repo name separated\n+ by a `/`.\n+ config_name (`str`):\n+ A configuration name.\n+ split_name (`str`):\n+ A split name.\n+ assets_base_url (`str`):\n+ The base url of the assets.\n+ hf_token (`str`, *optional*):\n+ An authentication token (See https://huggingface.co/settings/token)\n+ max_size_fallback (`int`, *optional*):\n+ The maximum number of bytes of the split to fallback to normal mode if the streaming mode fails. If None,\n+ it will not fallback to normal mode. Defaults to None.\n+ rows_max_bytes (`int`, *optional*):\n+ The maximum number of bytes of the response (else, the response is truncated). Defaults to 1_000_000 bytes.\n+ rows_max_number (`int`, *optional*):\n+ The maximum number of rows of the response. Defaults to 100.\n+ rows_min_number (`int`, *optional*):\n+ The minimum number of rows of the response. Defaults to 0.\n+ Returns:\n+ [`FirstRowsResponse`]: The list of first rows of the split.\n+ \n+ Raises the following errors:\n+ - [`~worker.exceptions.DatasetNotFoundError`]\n+ If the repository to download from cannot be found. This may be because it doesn't exist,\n+ or because it is set to `private` and you do not have access.\n+ - [`~worker.exceptions.ConfigNotFoundError`]\n+ If the config does not exist in the dataset.\n+ - [`~worker.exceptions.SplitNotFoundError`]\n+ If the split does not exist in the dataset.\n+ - [`~worker.utils.InfoError`]\n+ If the config info could not be obtained using the datasets library.\n+ - [`~worker.utils.FeaturesError`]\n+ If the split features could not be obtained using the datasets library.\n+ - [`~worker.utils.StreamingRowsError`]\n+ If the split rows could not be obtained using the datasets library in streaming mode.\n+ - [`~worker.utils.NormalRowsError`]\n+ If the split rows could not be obtained using the datasets library in normal mode.\n+ - [`~worker.utils.RowsPostProcessingError`]\n+ If the post-processing of the split rows failed, e.g. while saving the images or audio files to the assets.\n+ \n+ \"\"\"\n+ logger.info(f\"get first-rows for dataset={dataset_name} config={config_name} split={split_name}\")\n+ if rows_max_bytes is None:\n+ rows_max_bytes = DEFAULT_ROWS_MAX_BYTES\n+ if rows_max_number is None:\n+ rows_max_number = DEFAULT_ROWS_MAX_NUMBER\n+ if rows_min_number is None:\n+ rows_min_number = 0\n+ # first ensure the tuple (dataset, config, split) exists on the Hub\n+ splits_response = get_splits_response(dataset_name, hf_token)\n+ # ^ can raise DoesNotExistError or DatasetError\n+ if config_name not in [split_item[\"config_name\"] for split_item in splits_response[\"splits\"]]:\n+ raise ConfigNotFoundError(f\"config {config_name} does not exist for dataset {dataset_name}\")\n+ if {\"dataset_name\": dataset_name, \"config_name\": config_name, \"split_name\": split_name} not in [\n+ {\n+ \"dataset_name\": split_item[\"dataset_name\"],\n+ \"config_name\": split_item[\"config_name\"],\n+ \"split_name\": split_item[\"split_name\"],\n+ }\n+ for split_item in splits_response[\"splits\"]\n+ ]:\n+ raise SplitNotFoundError(\"The config or the split does not exist in the dataset\")\n+ # get the features\n+ try:\n+ info = get_dataset_config_info(\n+ path=dataset_name,\n+ config_name=config_name,\n+ use_auth_token=hf_token,\n+ )\n+ except Exception as err:\n+ raise InfoError(\"The info cannot be fetched for the dataset config.\", cause=err) from err\n+ if not info.features:\n+ try:\n+ # https://github.com/huggingface/datasets/blob/f5826eff9b06ab10dba1adfa52543341ef1e6009/src/datasets/iterable_dataset.py#L1255\n+ iterable_dataset = load_dataset(\n+ dataset_name,\n+ name=config_name,\n+ split=split_name,\n+ streaming=True,\n+ use_auth_token=hf_token,\n+ )\n+ if not isinstance(iterable_dataset, IterableDataset):\n+ raise TypeError(\"load_dataset should return an IterableDataset\")\n+ iterable_dataset = iterable_dataset._resolve_features()\n+ if not isinstance(iterable_dataset, IterableDataset):\n+ raise TypeError(\"load_dataset should return an IterableDataset\")\n+ features = iterable_dataset.features\n+ except Exception as err:\n+ raise FeaturesError(\"The split features (columns) cannot be extracted.\", cause=err) from err\n+ else:\n+ features = info.features\n+ # get the rows\n+ try:\n+ rows = get_rows(\n+ dataset_name, config_name, split_name, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token\n+ )\n+ except Exception as err:\n+ if max_size_fallback is None or info.size_in_bytes is None or info.size_in_bytes > max_size_fallback:\n+ raise StreamingRowsError(\n+ \"Cannot load the dataset split (in streaming mode) to extract the first rows.\",\n+ cause=err,\n+ ) from err\n+ try:\n+ rows = get_rows(\n+ dataset_name,\n+ config_name,\n+ split_name,\n+ streaming=False,\n+ rows_max_number=rows_max_number,\n+ hf_token=hf_token,\n+ )\n+ except Exception as err:\n+ raise NormalRowsError(\n+ \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n+ cause=err,\n+ ) from err\n+ # transform the rows, if needed (e.g. save the images or audio to the assets, and return their URL)\n+ try:\n+ transformed_rows = transform_rows(dataset_name, config_name, split_name, rows, features, assets_base_url)\n+ except Exception as err:\n+ raise RowsPostProcessingError(\n+ \"Server error while post-processing the split rows. Please report the issue.\",\n+ cause=err,\n+ ) from err\n+ # truncate the rows to fit within the restrictions, and prepare them as RowItems\n+ row_items = create_truncated_row_items(\n+ dataset_name, config_name, split_name, transformed_rows, rows_max_bytes, rows_min_number\n+ )\n+ # return the response\n+ return {\n+ \"features\": to_features_list(dataset_name, config_name, split_name, features),\n+ \"rows\": row_items,\n+ }\ndiff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py\nnew file mode 100644\nindex 00000000..65283d1b\n--- /dev/null\n+++ b/services/worker/src/worker/responses/splits.py\n@@ -0,0 +1,106 @@\n+import logging\n+from typing import Dict, List, Optional, TypedDict\n+\n+from datasets import (\n+ DatasetInfo,\n+ get_dataset_config_info,\n+ get_dataset_config_names,\n+ get_dataset_split_names,\n+)\n+from huggingface_hub import dataset_info # type:ignore\n+from huggingface_hub.utils import RepositoryNotFoundError # type:ignore\n+\n+from worker.utils import DatasetNotFoundError, SplitsNamesError\n+\n+logger = logging.getLogger(__name__)\n+\n+\n+class SplitFullName(TypedDict):\n+ dataset_name: str\n+ config_name: str\n+ split_name: str\n+\n+\n+class SplitItem(SplitFullName):\n+ num_bytes: Optional[int]\n+ num_examples: Optional[int]\n+\n+\n+class SplitsResponse(TypedDict):\n+ splits: List[SplitItem]\n+\n+\n+def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]:\n+ logger.info(f\"get dataset '{dataset_name}' split full names\")\n+ return [\n+ {\"dataset_name\": dataset_name, \"config_name\": config_name, \"split_name\": split_name}\n+ for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\n+ for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n+ ]\n+\n+\n+def get_splits_response(\n+ dataset_name: str,\n+ hf_token: Optional[str] = None,\n+) -> SplitsResponse:\n+ \"\"\"\n+ Get the response of /splits for one specific dataset on huggingface.co.\n+ Dataset can be private or gated if you pass an acceptable token.\n+ Args:\n+ dataset_name (`str`):\n+ A namespace (user or an organization) and a repo name separated\n+ by a `/`.\n+ hf_token (`str`, *optional*):\n+ An authentication token (See https://huggingface.co/settings/token)\n+ Returns:\n+ [`SplitsResponse`]: The list of splits names.\n+ \n+ Raises the following errors:\n+ - [`~worker.exceptions.DatasetNotFoundError`]\n+ If the repository to download from cannot be found. This may be because it doesn't exist,\n+ or because it is set to `private` and you do not have access.\n+ - [`~worker.exceptions.SplitsNamesError`]\n+ If the list of splits could not be obtained using the datasets library.\n+ \n+ \"\"\"\n+ logger.info(f\"get splits for dataset={dataset_name}\")\n+ # first ensure the dataset exists on the Hub\n+ try:\n+ dataset_info(dataset_name, token=hf_token)\n+ except RepositoryNotFoundError as err:\n+ raise DatasetNotFoundError(\"The dataset does not exist on the Hub.\") from err\n+ # get the list of splits\n+ try:\n+ split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n+ except Exception as err:\n+ raise SplitsNamesError(\"Cannot get the split names for the dataset.\", cause=err) from err\n+ # get the number of bytes and examples for each split\n+ config_info: Dict[str, DatasetInfo] = {}\n+ split_items: List[SplitItem] = []\n+ for split_full_name in split_full_names:\n+ dataset = split_full_name[\"dataset_name\"]\n+ config = split_full_name[\"config_name\"]\n+ split = split_full_name[\"split_name\"]\n+ try:\n+ if config not in config_info:\n+ config_info[config] = get_dataset_config_info(\n+ path=dataset,\n+ config_name=config,\n+ use_auth_token=hf_token,\n+ )\n+ info = config_info[config]\n+ num_bytes = info.splits[split].num_bytes if info.splits else None\n+ num_examples = info.splits[split].num_examples if info.splits else None\n+ except Exception:\n+ num_bytes = None\n+ num_examples = None\n+ split_items.append(\n+ {\n+ \"dataset_name\": dataset,\n+ \"config_name\": config,\n+ \"split_name\": split,\n+ \"num_bytes\": num_bytes,\n+ \"num_examples\": num_examples,\n+ }\n+ )\n+ return {\"splits\": split_items}\ndiff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py\nnew file mode 100644\nindex 00000000..64bbaa44\n--- /dev/null\n+++ b/services/worker/src/worker/utils.py\n@@ -0,0 +1,132 @@\n+import functools\n+import time\n+from http import HTTPStatus\n+from logging import Logger\n+from typing import Literal, Optional\n+\n+from libutils.exceptions import CustomError\n+\n+WorkerErrorCode = Literal[\n+ \"DatasetNotFoundError\",\n+ \"ConfigNotFoundError\",\n+ \"SplitNotFoundError\",\n+ \"SplitsNamesError\",\n+ \"InfoError\",\n+ \"FeaturesError\",\n+ \"StreamingRowsError\",\n+ \"NormalRowsError\",\n+ \"RowsPostProcessingError\",\n+ \"UnexpectedError\",\n+]\n+\n+\n+class WorkerCustomError(CustomError):\n+ \"\"\"Base class for exceptions in this module.\"\"\"\n+\n+ def __init__(\n+ self,\n+ message: str,\n+ status_code: HTTPStatus,\n+ code: WorkerErrorCode,\n+ cause: Optional[BaseException] = None,\n+ disclose_cause: bool = False,\n+ ):\n+ super().__init__(message, status_code, str(code), cause, disclose_cause)\n+\n+\n+class DatasetNotFoundError(WorkerCustomError):\n+ \"\"\"Raised when the dataset does not exist.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.NOT_FOUND, \"DatasetNotFoundError\", cause, False)\n+\n+\n+class ConfigNotFoundError(WorkerCustomError):\n+ \"\"\"Raised when the config does not exist.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.NOT_FOUND, \"ConfigNotFoundError\", cause, False)\n+\n+\n+class SplitNotFoundError(WorkerCustomError):\n+ \"\"\"Raised when the split does not exist.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.NOT_FOUND, \"SplitNotFoundError\", cause, False)\n+\n+\n+class SplitsNamesError(WorkerCustomError):\n+ \"\"\"Raised when the split names could not be fetched.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"SplitsNamesError\", cause, True)\n+\n+\n+class InfoError(WorkerCustomError):\n+ \"\"\"Raised when the info could not be fetched.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"InfoError\", cause, True)\n+\n+\n+class FeaturesError(WorkerCustomError):\n+ \"\"\"Raised when the features could not be fetched.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"FeaturesError\", cause, True)\n+\n+\n+class StreamingRowsError(WorkerCustomError):\n+ \"\"\"Raised when the rows could not be fetched in streaming mode.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"StreamingRowsError\", cause, True)\n+\n+\n+class NormalRowsError(WorkerCustomError):\n+ \"\"\"Raised when the rows could not be fetched in normal mode.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"NormalRowsError\", cause, True)\n+\n+\n+class RowsPostProcessingError(WorkerCustomError):\n+ \"\"\"Raised when the rows could not be post-processed successfully.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"RowsPostProcessingError\", cause, False)\n+\n+\n+class UnexpectedError(WorkerCustomError):\n+ \"\"\"Raised when the response for the split has not been found.\"\"\"\n+\n+ def __init__(self, message: str, cause: Optional[BaseException] = None):\n+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, \"UnexpectedError\", cause, False)\n+\n+\n+def retry(logger: Logger):\n+ def decorator_retry(func):\n+ \"\"\"retries with an increasing sleep before every attempt\"\"\"\n+ SLEEPS = [1, 7, 70, 7 * 60, 70 * 60]\n+ MAX_ATTEMPTS = len(SLEEPS)\n+\n+ @functools.wraps(func)\n+ def decorator(*args, **kwargs):\n+ attempt = 0\n+ last_err = None\n+ while attempt < MAX_ATTEMPTS:\n+ try:\n+ \"\"\"always sleep before calling the function. It will prevent rate limiting in the first place\"\"\"\n+ duration = SLEEPS[attempt]\n+ logger.info(f\"Sleep during {duration} seconds to preventively mitigate rate limiting.\")\n+ time.sleep(duration)\n+ return func(*args, **kwargs)\n+ except ConnectionError as err:\n+ logger.info(\"Got a ConnectionError, possibly due to rate limiting. Let's retry.\")\n+ last_err = err\n+ attempt += 1\n+ raise RuntimeError(f\"Give up after {attempt} attempts with ConnectionError\") from last_err\n+\n+ return decorator\n+\n+ return decorator_retry\ndiff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py\nindex d32d3562..ddfe5254 100644\n--- a/services/worker/tests/conftest.py\n+++ b/services/worker/tests/conftest.py\n@@ -8 +8 @@ def config():\n- return {\"image_file\": os.path.join(os.path.dirname(__file__), \"models\", \"data\", \"test_image_rgb.jpg\")}\n+ return {\"image_file\": os.path.join(os.path.dirname(__file__), \"data\", \"test_image_rgb.jpg\")}\ndiff --git a/services/worker/tests/models/data/test_image_rgb.jpg b/services/worker/tests/data/test_image_rgb.jpg\nsimilarity index 100%\nrename from services/worker/tests/models/data/test_image_rgb.jpg\nrename to services/worker/tests/data/test_image_rgb.jpg\ndiff --git a/services/worker/tests/deprecated/__init__.py b/services/worker/tests/deprecated/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/services/worker/tests/deprecated/models/__init__.py b/services/worker/tests/deprecated/models/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/services/worker/tests/models/test_column.py b/services/worker/tests/deprecated/models/test_column.py\nsimilarity index 89%\nrename from services/worker/tests/models/test_column.py\nrename to services/worker/tests/deprecated/models/test_column.py\nindex 6a4d10d2..bece4baf 100644\n--- a/services/worker/tests/models/test_column.py\n+++ b/services/worker/tests/deprecated/models/test_column.py\n@@ -1,4 +1,4 @@\n-from worker.models.column import get_columns\n-from worker.models.column.class_label import ClassLabelColumn\n-from worker.models.column.timestamp import TimestampColumn\n-from worker.models.info import get_info\n+from worker.deprecated.models.column import get_columns\n+from worker.deprecated.models.column.class_label import ClassLabelColumn\n+from worker.deprecated.models.column.timestamp import TimestampColumn\n+from worker.deprecated.models.info import get_info\ndiff --git a/services/worker/tests/models/test_dataset.py b/services/worker/tests/deprecated/models/test_dataset.py\nsimilarity index 76%\nrename from services/worker/tests/models/test_dataset.py\nrename to services/worker/tests/deprecated/models/test_dataset.py\nindex 86df7460..f33a89d6 100644\n--- a/services/worker/tests/models/test_dataset.py\n+++ b/services/worker/tests/deprecated/models/test_dataset.py\n@@ -2 +2 @@ import pytest\n-from libutils.exceptions import Status400Error\n+from datasets.inspect import SplitsNotFoundError\n@@ -4 +4 @@ from libutils.exceptions import Status400Error\n-from worker.models.dataset import get_dataset_split_full_names\n+from worker.deprecated.models.dataset import get_dataset_split_full_names\n@@ -6 +6 @@ from worker.models.dataset import get_dataset_split_full_names\n-from .._utils import HF_TOKEN\n+from ..._utils import HF_TOKEN\n@@ -12 +12 @@ def test_script_error() -> None:\n- with pytest.raises(Status400Error):\n+ with pytest.raises(ModuleNotFoundError):\n@@ -18 +18 @@ def test_no_dataset() -> None:\n- with pytest.raises(Status400Error):\n+ with pytest.raises(FileNotFoundError):\n@@ -24 +24 @@ def test_no_dataset_no_script() -> None:\n- with pytest.raises(Status400Error):\n+ with pytest.raises(FileNotFoundError):\n@@ -26,3 +26 @@ def test_no_dataset_no_script() -> None:\n- # raises \"ModuleNotFoundError: No module named 'datasets_modules.datasets.Test'\"\n- # which should be caught and raised as DatasetBuilderScriptError\n- with pytest.raises(Status400Error):\n+ with pytest.raises(FileNotFoundError):\n@@ -33 +31 @@ def test_builder_config_error() -> None:\n- with pytest.raises(Status400Error):\n+ with pytest.raises(SplitsNotFoundError):\n@@ -35 +33 @@ def test_builder_config_error() -> None:\n- with pytest.raises(Status400Error):\n+ with pytest.raises(RuntimeError):\n@@ -37 +35 @@ def test_builder_config_error() -> None:\n- with pytest.raises(Status400Error):\n+ with pytest.raises(TypeError):\ndiff --git a/services/worker/tests/models/test_info.py b/services/worker/tests/deprecated/models/test_info.py\nsimilarity index 83%\nrename from services/worker/tests/models/test_info.py\nrename to services/worker/tests/deprecated/models/test_info.py\nindex 72eb1479..8c2a3ac2 100644\n--- a/services/worker/tests/models/test_info.py\n+++ b/services/worker/tests/deprecated/models/test_info.py\n@@ -1 +1 @@\n-from worker.models.info import get_info\n+from worker.deprecated.models.info import get_info\ndiff --git a/services/worker/tests/models/test_row.py b/services/worker/tests/deprecated/models/test_row.py\nsimilarity index 96%\nrename from services/worker/tests/models/test_row.py\nrename to services/worker/tests/deprecated/models/test_row.py\nindex fc4793fe..b3275c76 100644\n--- a/services/worker/tests/models/test_row.py\n+++ b/services/worker/tests/deprecated/models/test_row.py\n@@ -3 +3 @@ from PIL import Image # type: ignore\n-from worker.models.row import get_rows\n+from worker.deprecated.models.row import get_rows\n@@ -5 +5 @@ from worker.models.row import get_rows\n-from .._utils import ROWS_MAX_NUMBER\n+from ..._utils import ROWS_MAX_NUMBER\ndiff --git a/services/worker/tests/models/test_split.py b/services/worker/tests/deprecated/models/test_split.py\nsimilarity index 98%\nrename from services/worker/tests/models/test_split.py\nrename to services/worker/tests/deprecated/models/test_split.py\nindex fd68c4e2..58b8bd7c 100644\n--- a/services/worker/tests/models/test_split.py\n+++ b/services/worker/tests/deprecated/models/test_split.py\n@@ -3 +3 @@\n-from worker.models.split import get_split\n+from worker.deprecated.models.split import get_split\n@@ -5 +5 @@ from worker.models.split import get_split\n-from .._utils import HF_TOKEN, ROWS_MAX_NUMBER\n+from ..._utils import HF_TOKEN, ROWS_MAX_NUMBER\ndiff --git a/services/worker/tests/deprecated/test_main.py b/services/worker/tests/deprecated/test_main.py\nnew file mode 100644\nindex 00000000..6d8de6bd\n--- /dev/null\n+++ b/services/worker/tests/deprecated/test_main.py\n@@ -0,0 +1,40 @@\n+import pytest\n+from libcache.cache import clean_database as clean_cache_database\n+from libcache.cache import connect_to_cache\n+from libqueue.queue import add_dataset_job, add_split_job\n+from libqueue.queue import clean_database as clean_queue_database\n+from libqueue.queue import connect_to_queue\n+\n+from worker.main import process_next_dataset_job, process_next_split_job\n+\n+from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL\n+\n+\n+@pytest.fixture(autouse=True, scope=\"module\")\n+def safe_guard() -> None:\n+ if \"test\" not in MONGO_CACHE_DATABASE:\n+ raise ValueError(\"Test must be launched on a test mongo database\")\n+\n+\n+@pytest.fixture(autouse=True, scope=\"module\")\n+def client() -> None:\n+ connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL)\n+ connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL)\n+\n+\n+@pytest.fixture(autouse=True)\n+def clean_mongo_database() -> None:\n+ clean_cache_database()\n+ clean_queue_database()\n+\n+\n+def test_process_next_dataset_job():\n+ add_dataset_job(\"acronym_identification\")\n+ result = process_next_dataset_job()\n+ assert result is True\n+\n+\n+def test_process_next_split_job():\n+ add_split_job(\"acronym_identification\", \"default\", \"train\")\n+ result = process_next_split_job()\n+ assert result is True\ndiff --git a/services/worker/tests/deprecated/test_refresh.py b/services/worker/tests/deprecated/test_refresh.py\nnew file mode 100644\nindex 00000000..01d3d57b\n--- /dev/null\n+++ b/services/worker/tests/deprecated/test_refresh.py\n@@ -0,0 +1,74 @@\n+import pytest\n+from libcache.cache import DbDataset\n+from libcache.cache import clean_database as clean_cache_database\n+from libcache.cache import connect_to_cache, get_rows_response\n+from libcache.cache import get_splits_response as old_get_splits_response\n+from libqueue.queue import clean_database as clean_queue_database\n+from libqueue.queue import connect_to_queue\n+from libutils.exceptions import Status400Error\n+\n+from worker.deprecated.refresh import refresh_dataset, refresh_split\n+\n+from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL\n+\n+\n+@pytest.fixture(autouse=True, scope=\"module\")\n+def safe_guard() -> None:\n+ if \"test\" not in MONGO_CACHE_DATABASE:\n+ raise ValueError(\"Test must be launched on a test mongo database\")\n+\n+\n+@pytest.fixture(autouse=True, scope=\"module\")\n+def client() -> None:\n+ connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL)\n+ connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL)\n+\n+\n+@pytest.fixture(autouse=True)\n+def clean_mongo_database() -> None:\n+ clean_cache_database()\n+ clean_queue_database()\n+\n+\n+def test_doesnotexist() -> None:\n+ dataset_name = \"doesnotexist\"\n+ with pytest.raises(Status400Error):\n+ refresh_dataset(dataset_name)\n+ # TODO: don't use internals of the cache database?\n+ retrieved = DbDataset.objects(dataset_name=dataset_name).get()\n+ assert retrieved.status.value == \"error\"\n+\n+\n+def test_e2e_examples() -> None:\n+ # see https://github.com/huggingface/datasets-server/issues/78\n+ dataset_name = \"Check/region_1\"\n+ refresh_dataset(dataset_name)\n+ # TODO: don't use internals of the cache database?\n+ retrieved = DbDataset.objects(dataset_name=dataset_name).get()\n+ assert retrieved.status.value == \"valid\"\n+ splits_response, error, status_code = old_get_splits_response(dataset_name)\n+ assert status_code == 200\n+ assert error is None\n+ assert splits_response is not None\n+ assert \"splits\" in splits_response\n+ assert len(splits_response[\"splits\"]) == 1\n+\n+\n+def test_large_document() -> None:\n+ # see https://github.com/huggingface/datasets-server/issues/89\n+ dataset_name = \"SaulLu/Natural_Questions_HTML\"\n+ refresh_dataset(dataset_name)\n+ retrieved = DbDataset.objects(dataset_name=dataset_name).get()\n+ assert retrieved.status.value == \"valid\"\n+\n+\n+def test_column_order() -> None:\n+ refresh_split(\"acronym_identification\", \"default\", \"train\")\n+ rows_response, error, status_code = get_rows_response(\"acronym_identification\", \"default\", \"train\")\n+ assert status_code == 200\n+ assert error is None\n+ assert rows_response is not None\n+ assert \"columns\" in rows_response\n+ assert rows_response[\"columns\"][0][\"column\"][\"name\"] == \"id\"\n+ assert rows_response[\"columns\"][1][\"column\"][\"name\"] == \"tokens\"\n+ assert rows_response[\"columns\"][2][\"column\"][\"name\"] == \"labels\"\ndiff --git a/services/worker/tests/models/test_first_rows.py b/services/worker/tests/models/test_first_rows.py\ndeleted file mode 100644\nindex 8512adbd..00000000\n--- a/services/worker/tests/models/test_first_rows.py\n+++ /dev/null\n@@ -1,37 +0,0 @@\n-from worker.models.first_rows import get_first_rows\n-\n-from .._utils import ASSETS_BASE_URL\n-\n-\n-def test_first_rows() -> None:\n- response = get_first_rows(\"common_voice\", \"tr\", \"train\", rows_max_number=1, assets_base_url=ASSETS_BASE_URL)\n-\n- assert response[\"features\"][0][\"idx\"] == 0\n- assert response[\"features\"][0][\"name\"] == \"client_id\"\n- assert response[\"features\"][0][\"type\"][\"_type\"] == \"Value\"\n- assert response[\"features\"][0][\"type\"][\"dtype\"] == \"string\"\n-\n- assert response[\"features\"][2][\"name\"] == \"audio\"\n- assert response[\"features\"][2][\"type\"][\"_type\"] == \"Audio\"\n- assert response[\"features\"][2][\"type\"][\"sampling_rate\"] == 48000\n-\n- assert response[\"rows\"][0][\"row_idx\"] == 0\n- assert response[\"rows\"][0][\"row\"][\"client_id\"].startswith(\"54fc2d015c27a057b\")\n- assert response[\"rows\"][0][\"row\"][\"audio\"] == [\n- {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3\", \"type\": \"audio/mpeg\"},\n- {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav\", \"type\": \"audio/wav\"},\n- ]\n-\n-\n-def test_no_features() -> None:\n- response = get_first_rows(\n- \"severo/fix-401\", \"severo--fix-401\", \"train\", rows_max_number=1, assets_base_url=ASSETS_BASE_URL\n- )\n-\n- assert response[\"features\"][1][\"idx\"] == 1\n- assert response[\"features\"][1][\"name\"] == \"area_mean\"\n- assert response[\"features\"][1][\"type\"][\"_type\"] == \"Value\"\n- assert response[\"features\"][1][\"type\"][\"dtype\"] == \"float64\"\n-\n- assert response[\"rows\"][0][\"row_idx\"] == 0\n- assert response[\"rows\"][0][\"row\"][\"area_mean\"] == 1001.0\ndiff --git a/services/worker/tests/responses/__init__.py b/services/worker/tests/responses/__init__.py\nnew file mode 100644\nindex 00000000..e69de29b\ndiff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py\nnew file mode 100644\nindex 00000000..2e02aa71\n--- /dev/null\n+++ b/services/worker/tests/responses/test_first_rows.py\n@@ -0,0 +1,59 @@\n+from worker.responses.first_rows import get_first_rows_response\n+\n+from .._utils import ASSETS_BASE_URL\n+\n+\n+def test_number_rows() -> None:\n+ rows_max_number = 7\n+ response = get_first_rows_response(\n+ \"duorc\",\n+ \"SelfRC\",\n+ \"train\",\n+ rows_max_number=rows_max_number,\n+ assets_base_url=ASSETS_BASE_URL,\n+ )\n+ assert len(response[\"rows\"]) == rows_max_number\n+\n+\n+def test_get_first_rows_response() -> None:\n+ rows_max_number = 7\n+ response = get_first_rows_response(\n+ \"common_voice\",\n+ \"tr\",\n+ \"train\",\n+ rows_max_number=rows_max_number,\n+ assets_base_url=ASSETS_BASE_URL,\n+ )\n+\n+ assert response[\"features\"][0][\"feature_idx\"] == 0\n+ assert response[\"features\"][0][\"name\"] == \"client_id\"\n+ assert response[\"features\"][0][\"type\"][\"_type\"] == \"Value\"\n+ assert response[\"features\"][0][\"type\"][\"dtype\"] == \"string\"\n+\n+ assert response[\"features\"][2][\"name\"] == \"audio\"\n+ assert response[\"features\"][2][\"type\"][\"_type\"] == \"Audio\"\n+ assert response[\"features\"][2][\"type\"][\"sampling_rate\"] == 48000\n+\n+ assert len(response[\"rows\"]) == rows_max_number\n+ assert response[\"rows\"][0][\"row_idx\"] == 0\n+ assert response[\"rows\"][0][\"row\"][\"client_id\"].startswith(\"54fc2d015c27a057b\")\n+ assert response[\"rows\"][0][\"row\"][\"audio\"] == [\n+ {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3\", \"type\": \"audio/mpeg\"},\n+ {\"src\": f\"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav\", \"type\": \"audio/wav\"},\n+ ]\n+\n+\n+def test_no_features() -> None:\n+ response = get_first_rows_response(\n+ \"severo/fix-401\", \"severo--fix-401\", \"train\", rows_max_number=1, assets_base_url=ASSETS_BASE_URL\n+ )\n+\n+ # TODO: re-enable when we understand why it works locally but not in the CI (order of the features)\n+ # assert response[\"features\"][5][\"feature_idx\"] == 5\n+ # assert response[\"features\"][5][\"name\"] == \"area_mean\"\n+ # assert response[\"features\"][5][\"type\"][\"_type\"] == \"Value\"\n+ # assert response[\"features\"][5][\"type\"][\"dtype\"] == \"float64\"\n+\n+ assert response[\"rows\"][0][\"row_idx\"] == 0\n+ assert response[\"rows\"][0][\"row\"][\"diagnosis\"] == \"M\"\n+ assert response[\"rows\"][0][\"row\"][\"area_mean\"] == 1001.0\ndiff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py\nnew file mode 100644\nindex 00000000..d265d70a\n--- /dev/null\n+++ b/services/worker/tests/responses/test_splits.py\n@@ -0,0 +1,77 @@\n+import pytest\n+from datasets.inspect import SplitsNotFoundError\n+\n+from worker.responses.splits import get_dataset_split_full_names, get_splits_response\n+from worker.utils import SplitsNamesError\n+\n+from .._utils import HF_TOKEN\n+\n+\n+def test_script_error() -> None:\n+ # raises \"ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'\"\n+ # which should be caught and raised as DatasetBuilderScriptError\n+ with pytest.raises(ModuleNotFoundError):\n+ get_dataset_split_full_names(dataset_name=\"piEsposito/br-quad-2.0\")\n+\n+\n+def test_no_dataset() -> None:\n+ # the dataset does not exist\n+ with pytest.raises(FileNotFoundError):\n+ get_dataset_split_full_names(dataset_name=\"doesnotexist\")\n+\n+\n+def test_no_dataset_no_script() -> None:\n+ # the dataset does not contain a script\n+ with pytest.raises(FileNotFoundError):\n+ get_dataset_split_full_names(dataset_name=\"AConsApart/anime_subtitles_DialoGPT\")\n+ with pytest.raises(FileNotFoundError):\n+ get_dataset_split_full_names(dataset_name=\"TimTreasure4/Test\")\n+\n+\n+def test_builder_config_error() -> None:\n+ with pytest.raises(SplitsNotFoundError):\n+ get_dataset_split_full_names(dataset_name=\"KETI-AIR/nikl\")\n+ with pytest.raises(RuntimeError):\n+ get_dataset_split_full_names(dataset_name=\"nateraw/image-folder\")\n+ with pytest.raises(TypeError):\n+ get_dataset_split_full_names(dataset_name=\"Valahaar/wsdmt\")\n+\n+\n+# get_split\n+def test_get_split() -> None:\n+ split_full_names = get_dataset_split_full_names(\"glue\")\n+ assert len(split_full_names) == 34\n+ assert {\"dataset_name\": \"glue\", \"config_name\": \"ax\", \"split_name\": \"test\"} in split_full_names\n+\n+\n+def test_splits_fallback() -> None:\n+ # uses the fallback to call \"builder._split_generators\" while https://github.com/huggingface/datasets/issues/2743\n+ split_full_names = get_dataset_split_full_names(\"hda_nli_hindi\")\n+ assert len(split_full_names) == 3\n+ assert {\"dataset_name\": \"hda_nli_hindi\", \"config_name\": \"HDA nli hindi\", \"split_name\": \"train\"} in split_full_names\n+\n+\n+def test_gated() -> None:\n+ split_full_names = get_dataset_split_full_names(\"severo/dummy_gated\", HF_TOKEN)\n+ assert len(split_full_names) == 1\n+ assert {\n+ \"dataset_name\": \"severo/dummy_gated\",\n+ \"config_name\": \"severo--embellishments\",\n+ \"split_name\": \"train\",\n+ } in split_full_names\n+\n+\n+def test_disclose_cause() -> None:\n+ with pytest.raises(SplitsNamesError) as exc_info:\n+ get_splits_response(\"akhaliq/test\", HF_TOKEN)\n+ assert exc_info.value.disclose_cause is True\n+ assert exc_info.value.cause_exception == \"FileNotFoundError\"\n+ response = exc_info.value.as_response()\n+ assert set(response.keys()) == {\"error\", \"cause_exception\", \"cause_message\", \"cause_traceback\"}\n+ assert response[\"error\"] == \"Cannot get the split names for the dataset.\"\n+ response_dict = dict(response)\n+ # ^ to remove mypy warnings\n+ assert response_dict[\"cause_exception\"] == \"FileNotFoundError\"\n+ assert str(response_dict[\"cause_message\"]).startswith(\"Couldn't find a dataset script at \")\n+ assert isinstance(response_dict[\"cause_traceback\"], list)\n+ assert response_dict[\"cause_traceback\"][0] == \"Traceback (most recent call last):\\n\"\ndiff --git a/services/worker/tests/models/test_features.py b/services/worker/tests/test_features.py\nsimilarity index 99%\nrename from services/worker/tests/models/test_features.py\nrename to services/worker/tests/test_features.py\nindex def249c9..b69585b9 100644\n--- a/services/worker/tests/models/test_features.py\n+++ b/services/worker/tests/test_features.py\n@@ -24 +24 @@ from datasets import (\n-from worker.models.features import get_cell_value\n+from worker.features import get_cell_value\n@@ -26 +26 @@ from worker.models.features import get_cell_value\n-from .._utils import ASSETS_BASE_URL\n+from ._utils import ASSETS_BASE_URL\ndiff --git a/services/worker/tests/test_main.py b/services/worker/tests/test_main.py\nindex 978350d8..bb71d45f 100644\n--- a/services/worker/tests/test_main.py\n+++ b/services/worker/tests/test_main.py\n@@ -2,3 +2,3 @@ import pytest\n-from libcache.cache import clean_database as clean_cache_database\n-from libcache.cache import connect_to_cache\n-from libqueue.queue import add_dataset_job, add_split_job, add_splits_job\n+from libcache.simple_cache import _clean_database as clean_cache_database\n+from libcache.simple_cache import connect_to_cache\n+from libqueue.queue import add_first_rows_job, add_splits_job\n@@ -8,5 +8 @@ from libqueue.queue import connect_to_queue\n-from worker.main import (\n- process_next_dataset_job,\n- process_next_split_job,\n- process_next_splits_job,\n-)\n+from worker.main import process_next_first_rows_job, process_next_splits_job\n@@ -35,5 +31 @@ def clean_mongo_database() -> None:\n-def test_process_next_dataset_job():\n- add_dataset_job(\"acronym_identification\")\n- result = process_next_dataset_job()\n- assert result is True\n-\n+def test_process_next_splits_job():\n@@ -45,3 +37,3 @@ def test_process_next_dataset_job():\n-def test_process_next_split_job():\n- add_split_job(\"acronym_identification\", \"default\", \"train\")\n- result = process_next_split_job()\n+def test_process_next_first_rows_job():\n+ add_first_rows_job(\"acronym_identification\", \"default\", \"train\")\n+ result = process_next_first_rows_job()\ndiff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py\nindex 485c7faa..eb2aa223 100644\n--- a/services/worker/tests/test_refresh.py\n+++ b/services/worker/tests/test_refresh.py\n@@ -0,0 +1,2 @@\n+from http import HTTPStatus\n+\n@@ -2,4 +4,2 @@ import pytest\n-from libcache.cache import DbDataset\n-from libcache.cache import clean_database as clean_cache_database\n-from libcache.cache import connect_to_cache, get_rows_response\n-from libcache.cache import get_splits_response as old_get_splits_response\n+from libcache.simple_cache import DoesNotExist\n+from libcache.simple_cache import _clean_database as clean_cache_database\n@@ -7 +7 @@ from libcache.simple_cache import (\n- HTTPStatus,\n+ connect_to_cache,\n@@ -13 +12,0 @@ from libqueue.queue import connect_to_queue\n-from libutils.exceptions import Status400Error\n@@ -15,6 +14 @@ from libutils.exceptions import Status400Error\n-from worker.refresh import (\n- refresh_dataset,\n- refresh_first_rows,\n- refresh_split,\n- refresh_splits,\n-)\n+from worker.refresh import refresh_first_rows, refresh_splits\n@@ -50,10 +44,3 @@ def test_doesnotexist() -> None:\n- with pytest.raises(Status400Error):\n- refresh_dataset(dataset_name)\n- # TODO: don't use internals of the cache database?\n- retrieved = DbDataset.objects(dataset_name=dataset_name).get()\n- assert retrieved.status.value == \"error\"\n-\n- assert refresh_splits(dataset_name) == HTTPStatus.BAD_REQUEST\n- response, http_status = get_splits_response(dataset_name)\n- assert http_status == HTTPStatus.BAD_REQUEST\n- assert response[\"error\"] == \"Cannot get the split names for the dataset.\"\n+ assert refresh_splits(dataset_name) == (HTTPStatus.NOT_FOUND, False)\n+ with pytest.raises(DoesNotExist):\n+ get_splits_response(dataset_name)\n@@ -65,13 +52,3 @@ def test_e2e_examples() -> None:\n- refresh_dataset(dataset_name)\n- # TODO: don't use internals of the cache database?\n- retrieved = DbDataset.objects(dataset_name=dataset_name).get()\n- assert retrieved.status.value == \"valid\"\n- splits_response, error, status_code = old_get_splits_response(dataset_name)\n- assert status_code == 200\n- assert error is None\n- assert splits_response is not None\n- assert \"splits\" in splits_response\n- assert len(splits_response[\"splits\"]) == 1\n-\n- assert refresh_splits(dataset_name) == HTTPStatus.OK\n- response, _ = get_splits_response(dataset_name)\n+\n+ assert refresh_splits(dataset_name) == (HTTPStatus.OK, False)\n+ response, _, _ = get_splits_response(dataset_name)\n@@ -83,2 +60,2 @@ def test_e2e_examples() -> None:\n- assert refresh_splits(dataset_name) == HTTPStatus.OK\n- response, _ = get_splits_response(dataset_name)\n+ assert refresh_splits(dataset_name) == (HTTPStatus.OK, False)\n+ response, _, _ = get_splits_response(dataset_name)\n@@ -93,3 +69,0 @@ def test_large_document() -> None:\n- refresh_dataset(dataset_name)\n- retrieved = DbDataset.objects(dataset_name=dataset_name).get()\n- assert retrieved.status.value == \"valid\"\n@@ -97,2 +71,2 @@ def test_large_document() -> None:\n- assert refresh_splits(dataset_name) == HTTPStatus.OK\n- _, http_status = get_splits_response(dataset_name)\n+ assert refresh_splits(dataset_name) == (HTTPStatus.OK, False)\n+ _, http_status, error_code = get_splits_response(dataset_name)\n@@ -100,12 +74 @@ def test_large_document() -> None:\n-\n-\n-def test_column_order() -> None:\n- refresh_split(\"acronym_identification\", \"default\", \"train\")\n- rows_response, error, status_code = get_rows_response(\"acronym_identification\", \"default\", \"train\")\n- assert status_code == 200\n- assert error is None\n- assert rows_response is not None\n- assert \"columns\" in rows_response\n- assert rows_response[\"columns\"][0][\"column\"][\"name\"] == \"id\"\n- assert rows_response[\"columns\"][1][\"column\"][\"name\"] == \"tokens\"\n- assert rows_response[\"columns\"][2][\"column\"][\"name\"] == \"labels\"\n+ assert error_code is None\n@@ -115,2 +78,2 @@ def test_first_rows() -> None:\n- http_status = refresh_first_rows(\"common_voice\", \"tr\", \"train\", ASSETS_BASE_URL)\n- response, cached_http_status = get_first_rows_response(\"common_voice\", \"tr\", \"train\")\n+ http_status, _ = refresh_first_rows(\"common_voice\", \"tr\", \"train\", ASSETS_BASE_URL)\n+ response, cached_http_status, error_code = get_first_rows_response(\"common_voice\", \"tr\", \"train\")\n@@ -118,0 +82 @@ def test_first_rows() -> None:\n+ assert error_code is None\n@@ -120 +84 @@ def test_first_rows() -> None:\n- assert response[\"features\"][0][\"idx\"] == 0\n+ assert response[\"features\"][0][\"feature_idx\"] == 0\ndiff --git a/tools/Python.mk b/tools/Python.mk\nindex 43d661dc..43474eda 100644\n--- a/tools/Python.mk\n+++ b/tools/Python.mk\n@@ -34,0 +35,9 @@ style:\n+\n+.PHONY: test-target\n+test-target:\n+\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) $(PYTEST_ARGS)\n+\n+.PHONY: test-target-expression\n+test-target-expression:\n+\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS)\n+\n@@ -38,2 +47,2 @@ test:\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) up\n-\tMONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x tests\n+\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up\n+\tTEST_TARGET=tests make test-target\n@@ -45 +54 @@ coverage:\n-\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) up\n+\tMONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up\ndiff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml\nindex 1eb1f240..882da3bb 100644\n--- a/tools/docker-compose-datasets-server-from-remote-images.yml\n+++ b/tools/docker-compose-datasets-server-from-remote-images.yml\n@@ -52,0 +53 @@ services:\n+ ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100}\n@@ -67,0 +69 @@ services:\n+ ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100}\n@@ -82,0 +85 @@ services:\n+ ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100}\n@@ -97,0 +101 @@ services:\n+ ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100}"}}},{"rowIdx":1684,"cells":{"hash":{"kind":"string","value":"7772c4dce66363bd809a749c8687e86b5b437b18"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-27T15:32:33","string":"2022-07-27T15:32:33"},"subject":{"kind":"string","value":"Update ephemeral namespace (#483)"},"diff":{"kind":"string","value":"diff --git a/chart/Makefile b/chart/Makefile\nindex 14c7888e..f0d8b43f 100644\n--- a/chart/Makefile\n+++ b/chart/Makefile\n@@ -1,0 +2 @@ CHART_NAME := datasets-server\n+K8S_NAMESPACE := datasets-server\n@@ -21 +22 @@ diff-dev:\n-\t@make diff ENV=dev K8S_NAMESPACE=hub\n+\t@make diff ENV=dev\n@@ -25 +26 @@ uninstall-dev:\n-\t@make uninstall ENV=dev K8S_NAMESPACE=hub\n+\t@make uninstall ENV=dev\n@@ -29 +30 @@ upgrade-dev:\n-\t@make upgrade ENV=dev K8S_NAMESPACE=hub\n+\t@make upgrade ENV=dev\n@@ -33 +34 @@ diff-prod:\n-\t@make diff ENV=prod K8S_NAMESPACE=datasets-server\n+\t@make diff ENV=prod\n@@ -37 +38 @@ uninstall-prod:\n-\t@make uninstall ENV=prod K8S_NAMESPACE=datasets-server\n+\t@make uninstall ENV=prod\n@@ -41 +42 @@ upgrade-prod:\n-\t@make upgrade ENV=prod K8S_NAMESPACE=datasets-server\n+\t@make upgrade ENV=prod\ndiff --git a/docs_to_notion/authentication.md b/docs_to_notion/authentication.md\nindex 9362128b..6f1d905b 100644\n--- a/docs_to_notion/authentication.md\n+++ b/docs_to_notion/authentication.md\n@@ -3 +3 @@\n-To work on the `datasets-server` infrastructure, you have to configure AWS to use the SSO account `hub` (see https://huggingface.awsapps.com/start#/) with the role `EKS-HUB-Hub` (see also the [doc in Notion about AWS SSO](https://www.notion.so/huggingface2/Conventions-645d29ce0a01496bb07c67a06612aa98#ff642cd8e28a4107ae26cc6183ccdd01)):\n+To work on the `datasets-server` infrastructure, you have to configure AWS to use the SSO account `hub` (see https://huggingface.awsapps.com/start#/) with the role `EKS-HUB-Tensorboard` (see also the [doc in Notion about AWS SSO](https://www.notion.so/huggingface2/Conventions-645d29ce0a01496bb07c67a06612aa98#ff642cd8e28a4107ae26cc6183ccdd01)):\n@@ -11,3 +11,3 @@ Using the account ID 707930574880\n-There are 3 roles available to you. # <-- select \"EKS-HUB-Hub\"\n-Using the role name \"EKS-HUB-Hub\"\n-CLI default client Region [None]: us-east-1\n+There are 3 roles available to you. # <-- select \"EKS-HUB-Tensorboard\"\n+Using the role name \"EKS-HUB-Tensorboard\"\n+CLI default client Region [None]:\n@@ -15 +15 @@ CLI default output format [None]:\n-CLI profile name [EKS-HUB-Hub-707930574880]: hub-prod\n+CLI profile name [EKS-HUB-Hub-707930574880]: tb\n@@ -19 +19 @@ To use this profile, specify the profile name using --profile, as shown:\n-aws s3 ls --profile hub-prod\n+aws s3 ls --profile tb\n@@ -22 +22 @@ aws s3 ls --profile hub-prod\n-In the docs, we assume the AWS CLI profile is called `hub-prod`.\n+In the docs, we assume the AWS CLI profile is called `tb`.\n@@ -24 +24 @@ In the docs, we assume the AWS CLI profile is called `hub-prod`.\n-The profile `hub-prod` is meant to:\n+The profile `tb` is meant to:\n@@ -28,4 +28,23 @@ The profile `hub-prod` is meant to:\n- ```shell\n- $ aws eks describe-cluster --profile=hub-prod --name=hub-prod\n- $ aws eks update-kubeconfig --profile=hub-prod --name=hub-prod\n- ```\n+ - setup the kube contexts:\n+\n+ ```shell\n+ aws eks update-kubeconfig --name \"hub-prod\" --alias \"hub-prod-with-tb\" --region us-east-1 --profile=tb\n+ aws eks update-kubeconfig --name \"hub-ephemeral\" --alias \"hub-ephemeral-with-tb\" --region us-east-1 --profile=tb\n+ ```\n+\n+ - install kubectx and kubens (see [tools.md](./tools.md))\n+ - ephemeral:\n+\n+ ```shell\n+ kubectx hub-ephemeral-with-tb\n+ kubens datasets-server\n+ kubectl get pod\n+ ```\n+\n+ - prod:\n+\n+ ```shell\n+ kubectx hub-prod-with-tb\n+ kubens datasets-server\n+ kubectl get pod\n+ ```\n@@ -36 +55 @@ The profile `hub-prod` is meant to:\n- $ aws ecr get-login-password --region us-east-1 --profile=hub-prod \\\n+ $ aws ecr get-login-password --region us-east-1 --profile=tb \\\n@@ -40,2 +58,0 @@ The profile `hub-prod` is meant to:\n- **Note**: the `EKS-HUB-Hub` profile still misses this right. Until the infra team adds it, you can use the `hub-pu` profile.\n-\n@@ -45 +62 @@ It is not meant to operate on AWS resources directly. The following command give\n-$ aws eks list-clusters --profile=hub-prod\n+$ aws eks list-clusters --profile=tb\ndiff --git a/docs_to_notion/docker.md b/docs_to_notion/docker.md\nindex 506281fd..850541cf 100644\n--- a/docs_to_notion/docker.md\n+++ b/docs_to_notion/docker.md\n@@ -21,8 +21 @@ If you want to list, pull or push a docker image manually, you have to login bef\n-aws ecr get-login-password --profile=hub | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com\n-```\n-\n-You can also use `aws ecr` to get the list of images of a repository, for example:\n-\n-```\n-aws ecr list-images --profile=hub --repository-name=hub-datasets-server-api\n-aws ecr describe-images --profile=hub --repository-name=hub-datasets-server-api\n+aws ecr get-login-password --profile=tb | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com\ndiff --git a/docs_to_notion/kubernetes.md b/docs_to_notion/kubernetes.md\nindex 8d4a8739..7d6fc891 100644\n--- a/docs_to_notion/kubernetes.md\n+++ b/docs_to_notion/kubernetes.md\n@@ -22,0 +23 @@ $ aws eks list-clusters --profile=hub-pu\n+ \"hub-preprod\",\n@@ -28 +29 @@ $ aws eks list-clusters --profile=hub-pu\n-Note that listing the clusters is not allowed for the `EKS-HUB-Hub` role of the `hub` account:\n+Note that listing the clusters is not allowed for the `EKS-HUB-Tensorboard` role of the `hub` account:\n@@ -31 +32 @@ Note that listing the clusters is not allowed for the `EKS-HUB-Hub` role of the\n-$ aws eks list-clusters --profile=hub\n+$ aws eks list-clusters --profile=tb\n@@ -33 +34 @@ $ aws eks list-clusters --profile=hub\n-An error occurred (AccessDeniedException) when calling the ListClusters operation: User: arn:aws:sts::707930574880:assumed-role/AWSReservedSSO_EKS-HUB-Hub_3c94769b0752b7d7/sylvain.lesage@huggingface.co is not authorized to perform: eks:ListClusters on resource: arn:aws:eks:us-east-1:707930574880:cluster/*\n+An error occurred (AccessDeniedException) when calling the ListClusters operation: User: arn:aws:sts::707930574880:assumed-role/AWSReservedSSO_EKS-HUB-Tensorboard_855674a9053d4044/sylvain.lesage@huggingface.co is not authorized to perform: eks:ListClusters on resource: arn:aws:eks:eu-west-3:707930574880:cluster/*\n@@ -42,19 +43,10 @@ Setup `kubectl` to use a cluster:\n-```\n-$ aws eks update-kubeconfig --profile=hub --name=hub-ephemeral\n-Updated context arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral in /home/slesage/.kube/config\n-```\n-\n-See the details of a cluster using `aws eks`:\n-\n-```\n-$ aws eks describe-cluster --profile=hub --name=hub-ephemeral\n-{\n- \"cluster\": {\n- \"name\": \"hub-ephemeral\",\n- \"arn\": \"arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral\",\n- \"createdAt\": \"2022-04-09T16:47:27.432000+00:00\",\n- \"version\": \"1.22\",\n- ...\n- }\n-}\n-```\n+- prod:\n+ ```\n+ $ aws eks update-kubeconfig --name \"hub-prod\" --alias \"hub-prod-with-tb\" --region us-east-1 --profile=tb\n+ Updated context hub-prod-with-tb in /home/slesage/.kube/config\n+ ```\n+- ephemeral:\n+ ```\n+ $ aws eks update-kubeconfig --name \"hub-ephemeral\" --alias \"hub-ephemeral-with-tb\" --region us-east-1 --profile=tb\n+ Updated context hub-ephemeral-with-tb in /home/slesage/.kube/config\n+ ```\n@@ -133 +125 @@ You can filter to get the info only for one object by adding its name as an argu\n-- only the `hub` namespace:\n+- only the `datasets-server` namespace:\n@@ -136 +128 @@ You can filter to get the info only for one object by adding its name as an argu\n- kubectl get namespace hub -o json\n+ kubectl get namespace datasets-server -o json\n@@ -141 +133 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work\n-- get the namespace with the name `hub` (not very interesting):\n+- get the namespace with the name `datasets-server` (not very interesting):\n@@ -144 +136 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work\n- kubectl get namespace -l \"kubernetes.io/metadata.name\"==hub\n+ kubectl get namespace -l \"kubernetes.io/metadata.name\"==datasets-server\n@@ -147 +139 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work\n-- get the pods of the `hub` application (note that `app` is a custom label specified when creating the pods in moonlanding):\n+- get the pods of the `datasets-server-prod-api` application (note that `app` is a custom label specified in the Helm templates):\n@@ -150 +142 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work\n- kubectl get pod -l app==hub\n+ kubectl get pod -l app==datasets-server-prod-api --namespace datasets-server\n@@ -177,7 +169 @@ dataset-server Active 26h\n-default Active 24d\n-gitaly Active 24d\n-hub Active 24d\n-kube-node-lease Active 24d\n-kube-public Active 24d\n-kube-system Active 24d\n-repository-scanner Active 9d\n+...\n@@ -186,2 +171,0 @@ repository-scanner Active 9d\n-For now, this project will use the `hub` namespace. The infra team is working to setup a specific namespace for this project.\n-\n@@ -192 +176,12 @@ Contexts are useful to set the default namespace, user and cluster we are workin\n-We can create a local context called `datasets-server-ephemeral` as:\n+We can create a local context called `hub-prod-with-tb` as:\n+\n+```\n+$ kubectl config set-context \\\n+ --cluster=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \\\n+ --user=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \\\n+ --namespace=datasets-server \\\n+ hub-prod-with-tb\n+Context \"hub-prod-with-tb\" created.\n+```\n+\n+or\n@@ -198,3 +193,10 @@ $ kubectl config set-context \\\n- --namespace=hub \\\n- datasets-server-ephemeral\n-Context \"datasets-server-ephemeral\" created.\n+ --namespace=datasets-server \\\n+ hub-ephemeral-with-tb\n+Context \"hub-ephemeral-with-tb\" created.\n+```\n+\n+Another way, seen before, is to use:\n+\n+```shell\n+aws eks update-kubeconfig --name \"hub-prod\" --alias \"hub-prod-with-tb\" --region us-east-1 --profile=tb\n+aws eks update-kubeconfig --name \"hub-ephemeral\" --alias \"hub-ephemeral-with-tb\" --region us-east-1 --profile=tb\n@@ -206 +208 @@ We set it as the current context with:\n-$ kubectl config use-context datasets-server-ephemeral\n+$ kubectl config use-context hub-ephemeral-with-tb\n@@ -208 +210 @@ $ kubectl config use-context datasets-server-ephemeral\n-Switched to context \"datasets-server-ephemeral\".\n+Switched to context \"hub-ephemeral-with-tb\".\n@@ -215,4 +217,3 @@ $ kubectl config get-contexts\n-CURRENT NAME CLUSTER AUTHINFO NAMESPACE\n- arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral hub\n- arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod\n-* datasets-server-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral hub\n+CURRENT NAME CLUSTER AUTHINFO NAMESPACE\n+* hub-ephemeral-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral datasets-server\n+ hub-prod-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod datasets-server"}}},{"rowIdx":1685,"cells":{"hash":{"kind":"string","value":"c80de5c3003e299fc790fa542cc5e96d9c5cfc09"},"authorName":{"kind":"string","value":"Quentin Lhoest"},"authorEmail":{"kind":"string","value":"42851186+lhoestq@users.noreply.github.com"},"date":{"kind":"timestamp","value":"2022-07-27T14:46:40","string":"2022-07-27T14:46:40"},"subject":{"kind":"string","value":"Stop the count (#481)"},"diff":{"kind":"string","value":"diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml\nindex 346e2656..f54d39e4 100644\n--- a/chart/docker-images.yaml\n+++ b/chart/docker-images.yaml\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29\"\ndiff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py\nindex 04064e96..e46fd111 100644\n--- a/services/worker/src/worker/config.py\n+++ b/services/worker/src/worker/config.py\n@@ -53,0 +54,2 @@ os.environ[\"HF_SCRIPTS_VERSION\"] = DATASETS_REVISION\n+# Don't increase the datasets download counts on huggingface.co\n+os.environ[\"HF_UPDATE_DOWNLOAD_COUNTS\"] = \"false\""}}},{"rowIdx":1686,"cells":{"hash":{"kind":"string","value":"519cf70758e34e54f0647560f36dc1f2ac395720"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-26T16:21:58","string":"2022-07-26T16:21:58"},"subject":{"kind":"string","value":"feat: 🎸 use main instead of master to load datasets (#479)"},"diff":{"kind":"string","value":"diff --git a/chart/values.yaml b/chart/values.yaml\nindex c785a32d..1c2d7f86 100644\n--- a/chart/values.yaml\n+++ b/chart/values.yaml\n@@ -117 +117 @@ worker:\n- datasetsRevision: \"master\"\n+ datasetsRevision: \"main\"\n@@ -161 +161 @@ worker:\n- datasetsRevision: \"master\"\n+ datasetsRevision: \"main\"\n@@ -205 +205 @@ worker:\n- datasetsRevision: \"master\"\n+ datasetsRevision: \"main\"\n@@ -247 +247 @@ worker:\n- datasetsRevision: \"master\"\n+ datasetsRevision: \"main\"\ndiff --git a/services/worker/.env.example b/services/worker/.env.example\nindex 63e8370b..50395533 100644\n--- a/services/worker/.env.example\n+++ b/services/worker/.env.example\n@@ -8 +8 @@\n-# DATASETS_REVISION=\"master\"\n+# DATASETS_REVISION=\"main\"\ndiff --git a/services/worker/README.md b/services/worker/README.md\nindex 60375e63..dcd67028 100644\n--- a/services/worker/README.md\n+++ b/services/worker/README.md\n@@ -39 +39 @@ Set environment variables to configure the following aspects:\n-- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `master`.\n+- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `main`.\ndiff --git a/services/worker/src/worker/constants.py b/services/worker/src/worker/constants.py\nindex 05d3018e..a37866f8 100644\n--- a/services/worker/src/worker/constants.py\n+++ b/services/worker/src/worker/constants.py\n@@ -5 +5 @@ DEFAULT_ASSETS_DIRECTORY: None = None\n-DEFAULT_DATASETS_REVISION: str = \"master\"\n+DEFAULT_DATASETS_REVISION: str = \"main\""}}},{"rowIdx":1687,"cells":{"hash":{"kind":"string","value":"ca2498a5fd6de248c3cea9148d1c54c274a96f98"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-26T16:12:06","string":"2022-07-26T16:12:06"},"subject":{"kind":"string","value":"feat: 🎸 add a target (#478)"},"diff":{"kind":"string","value":"diff --git a/services/admin/Makefile b/services/admin/Makefile\nindex 8921b252..1d4bddd1 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -44,0 +45,4 @@ refresh-cache-canonical:\n+.PHONY: refresh-cache-errors\n+refresh-cache-errors:\n+\tpoetry run python src/admin/scripts/refresh_cache_errors.py\n+"}}},{"rowIdx":1688,"cells":{"hash":{"kind":"string","value":"c24c268794998b9cc2b08155eae2b0f4144d85e7"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-26T16:09:30","string":"2022-07-26T16:09:30"},"subject":{"kind":"string","value":"feat: 🎸 change the format of the error responses (#477)"},"diff":{"kind":"string","value":"diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json\nindex 5f21d5b2..369b34ef 100644\n--- a/chart/static-files/openapi.json\n+++ b/chart/static-files/openapi.json\n@@ -70 +70 @@\n- \"required\": [\"status_code\", \"message\"],\n+ \"required\": [\"error\"],\n@@ -72,4 +72 @@\n- \"status_code\": {\n- \"type\": \"integer\"\n- },\n- \"message\": {\n+ \"error\": {\n@@ -91 +88 @@\n- \"required\": [\"status_code\", \"message\"],\n+ \"required\": [\"error\"],\n@@ -93,4 +90 @@\n- \"status_code\": {\n- \"type\": \"integer\"\n- },\n- \"message\": {\n+ \"error\": {\n@@ -1893,2 +1887 @@\n- \"status_code\": 400,\n- \"message\": \"Cannot get the split names for the dataset.\",\n+ \"error\": \"Cannot get the split names for the dataset.\",\n@@ -1916,2 +1909 @@\n- \"status_code\": 400,\n- \"message\": \"Cannot get the split names for the dataset.\",\n+ \"error\": \"Cannot get the split names for the dataset.\",\n@@ -1952,2 +1944 @@\n- \"status_code\": 500,\n- \"message\": \"The list of splits is not ready yet. Please retry later.\"\n+ \"error\": \"The list of splits is not ready yet. Please retry later.\"\n@@ -1959,2 +1950 @@\n- \"status_code\": 500,\n- \"message\": \"Unexpected error.\"\n+ \"error\": \"Unexpected error.\"\n@@ -2692,2 +2682 @@\n- \"status_code\": 400,\n- \"message\": \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n+ \"error\": \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n@@ -2733,2 +2722 @@\n- \"status_code\": 400,\n- \"message\": \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n+ \"error\": \"Cannot load the dataset split (in normal download mode) to extract the first rows.\",\n@@ -2806,2 +2794 @@\n- \"status_code\": 500,\n- \"message\": \"The list of the first rows is not ready yet. Please retry later.\"\n+ \"error\": \"The list of the first rows is not ready yet. Please retry later.\"\n@@ -2813,2 +2800 @@\n- \"status_code\": 500,\n- \"message\": \"Unexpected error.\"\n+ \"error\": \"Unexpected error.\"\ndiff --git a/e2e/tests/test_api.py b/e2e/tests/test_api.py\nindex d604aaa6..188bf158 100644\n--- a/e2e/tests/test_api.py\n+++ b/e2e/tests/test_api.py\n@@ -11 +11,3 @@ URL = f\"http://localhost:{SERVICE_REVERSE_PROXY_PORT}\"\n-def poll_until_valid_response(url: str, timeout: int = 15, interval: int = 1) -> requests.Response:\n+def poll_until_valid_response(\n+ url: str, timeout: int = 15, interval: int = 1, error_field: str = \"error\"\n+) -> requests.Response:\n@@ -23 +25 @@ def poll_until_valid_response(url: str, timeout: int = 15, interval: int = 1) ->\n- should_retry = \"retry\" in response.json()[\"message\"].lower()\n+ should_retry = \"retry\" in response.json()[error_field].lower()\n@@ -34 +36 @@ def poll_splits_until_dataset_process_has_finished(\n- dataset: str, endpoint: str = \"splits\", timeout: int = 15, interval: int = 1\n+ dataset: str, endpoint: str = \"splits\", timeout: int = 15, interval: int = 1, error_field: str = \"error\"\n@@ -36 +38 @@ def poll_splits_until_dataset_process_has_finished(\n- return poll_until_valid_response(f\"{URL}/{endpoint}?dataset={dataset}\", timeout, interval)\n+ return poll_until_valid_response(f\"{URL}/{endpoint}?dataset={dataset}\", timeout, interval, error_field)\n@@ -40 +42,7 @@ def poll_rows_until_split_process_has_finished(\n- dataset: str, config: str, split: str, endpoint: str = \"splits\", timeout: int = 15, interval: int = 1\n+ dataset: str,\n+ config: str,\n+ split: str,\n+ endpoint: str = \"splits\",\n+ timeout: int = 15,\n+ interval: int = 1,\n+ error_field: str = \"error\",\n@@ -43 +51 @@ def poll_rows_until_split_process_has_finished(\n- f\"{URL}/{endpoint}?dataset={dataset}&config={config}&split={split}\", timeout, interval\n+ f\"{URL}/{endpoint}?dataset={dataset}&config={config}&split={split}\", timeout, interval, error_field\n@@ -72 +80 @@ def test_get_dataset():\n- response = poll_splits_until_dataset_process_has_finished(dataset, \"splits\", 60)\n+ response = poll_splits_until_dataset_process_has_finished(dataset, \"splits\", 60, error_field=\"message\")\n@@ -76 +84 @@ def test_get_dataset():\n- response = poll_rows_until_split_process_has_finished(dataset, config, split, \"rows\", 60)\n+ response = poll_rows_until_split_process_has_finished(dataset, config, split, \"rows\", 60, error_field=\"message\")\ndiff --git a/libs/libcache/dist/libcache-0.1.14-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\nnew file mode 100644\nindex 00000000..4ec0d94f\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.14-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.14.tar.gz b/libs/libcache/dist/libcache-0.1.14.tar.gz\nnew file mode 100644\nindex 00000000..757c0d20\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.14.tar.gz differ\ndiff --git a/libs/libcache/dist/libcache-0.1.15-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.15-py3-none-any.whl\nnew file mode 100644\nindex 00000000..582aa370\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.15-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.15.tar.gz b/libs/libcache/dist/libcache-0.1.15.tar.gz\nnew file mode 100644\nindex 00000000..5f4a5fdd\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.15.tar.gz differ\ndiff --git a/libs/libcache/dist/libcache-0.1.16-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.16-py3-none-any.whl\nnew file mode 100644\nindex 00000000..b66cf200\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.16-py3-none-any.whl differ\ndiff --git a/libs/libcache/dist/libcache-0.1.16.tar.gz b/libs/libcache/dist/libcache-0.1.16.tar.gz\nnew file mode 100644\nindex 00000000..40cb457a\nBinary files /dev/null and b/libs/libcache/dist/libcache-0.1.16.tar.gz differ\ndiff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock\nindex e3d16c1c..ddaa7934 100644\n--- a/libs/libcache/poetry.lock\n+++ b/libs/libcache/poetry.lock\n@@ -400 +400 @@ name = \"libutils\"\n-version = \"0.1.4\"\n+version = \"0.1.5\"\n@@ -413 +413 @@ type = \"file\"\n-url = \"../libutils/dist/libutils-0.1.4-py3-none-any.whl\"\n+url = \"../libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n@@ -1046 +1046 @@ python-versions = \"3.9.6\"\n-content-hash = \"b45e654e62ce957eb711db3133609c1f20efff1f52eeae20293f2269d31d5389\"\n+content-hash = \"68b6e1e446c319b5636f7f8f7d47ded0d48676af40e149edc2e24b4bce756b18\"\n@@ -1217 +1217 @@ libutils = [\n- {file = \"libutils-0.1.4-py3-none-any.whl\", hash = \"sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952\"},\n+ {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\ndiff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml\nindex b35ce55f..7b9308e4 100644\n--- a/libs/libcache/pyproject.toml\n+++ b/libs/libcache/pyproject.toml\n@@ -5 +5 @@ name = \"libcache\"\n-version = \"0.1.13\"\n+version = \"0.1.16\"\n@@ -19 +19 @@ isort = \"^5.9.3\"\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\ndiff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py\nindex 90612f98..1b29c9b1 100644\n--- a/libs/libcache/src/libcache/simple_cache.py\n+++ b/libs/libcache/src/libcache/simple_cache.py\n@@ -229,0 +230,15 @@ def get_first_rows_responses_count_by_status() -> CountByHTTPStatus:\n+# for scripts\n+\n+\n+def get_datasets_with_some_error() -> List[str]:\n+ # - the /splits response is invalid\n+ candidate_dataset_names = set(SplitsResponse.objects(http_status__ne=HTTPStatus.OK).distinct(\"dataset_name\"))\n+ # - or one of the /first-rows responses is invalid\n+ candidate_dataset_names_in_first_rows = set(\n+ FirstRowsResponse.objects(http_status__ne=HTTPStatus.OK).distinct(\"dataset_name\")\n+ )\n+\n+ # note that the list is sorted alphabetically for consistency\n+ return sorted(candidate_dataset_names.union(candidate_dataset_names_in_first_rows))\n+\n+\n@@ -258 +273 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro\n- if \"message\" not in object.response:\n+ if \"error\" not in object.response:\n@@ -260 +275 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro\n- report: ErrorReport = {\"message\": object.response[\"message\"]}\n+ report: ErrorReport = {\"message\": object.response[\"error\"]}\ndiff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py\nindex 70dcea4f..cd6e29a2 100644\n--- a/libs/libcache/tests/test_simple_cache.py\n+++ b/libs/libcache/tests/test_simple_cache.py\n@@ -10,0 +11 @@ from libcache.simple_cache import (\n+ get_datasets_with_some_error,\n@@ -114,0 +116 @@ def test_valid() -> None:\n+ assert get_datasets_with_some_error() == []\n@@ -122,0 +125 @@ def test_valid() -> None:\n+ assert get_datasets_with_some_error() == []\n@@ -134,0 +138 @@ def test_valid() -> None:\n+ assert get_datasets_with_some_error() == []\n@@ -142,0 +147 @@ def test_valid() -> None:\n+ assert get_datasets_with_some_error() == []\n@@ -154,0 +160 @@ def test_valid() -> None:\n+ assert get_datasets_with_some_error() == [\"test_dataset2\"]\n@@ -166,0 +173,10 @@ def test_valid() -> None:\n+ assert get_datasets_with_some_error() == [\"test_dataset2\"]\n+\n+ upsert_splits_response(\n+ \"test_dataset3\",\n+ {\"key\": \"value\"},\n+ HTTPStatus.BAD_REQUEST,\n+ )\n+\n+ assert get_valid_dataset_names() == [\"test_dataset\", \"test_dataset2\"]\n+ assert get_datasets_with_some_error() == [\"test_dataset2\", \"test_dataset3\"]\n@@ -204,2 +220 @@ def test_reports() -> None:\n- \"status_code\": 400,\n- \"message\": \"Cannot get the split names for the dataset.\",\n+ \"error\": \"Cannot get the split names for the dataset.\",\n@@ -235,2 +250 @@ def test_reports() -> None:\n- \"status_code\": 500,\n- \"message\": \"cannot write mode RGBA as JPEG\",\n+ \"error\": \"cannot write mode RGBA as JPEG\",\ndiff --git a/libs/libutils/dist/libutils-0.1.5-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\nnew file mode 100644\nindex 00000000..1ef97238\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.5-py3-none-any.whl differ\ndiff --git a/libs/libutils/dist/libutils-0.1.5.tar.gz b/libs/libutils/dist/libutils-0.1.5.tar.gz\nnew file mode 100644\nindex 00000000..0cf0f36f\nBinary files /dev/null and b/libs/libutils/dist/libutils-0.1.5.tar.gz differ\ndiff --git a/libs/libutils/pyproject.toml b/libs/libutils/pyproject.toml\nindex 905da8a2..13676622 100644\n--- a/libs/libutils/pyproject.toml\n+++ b/libs/libutils/pyproject.toml\n@@ -5 +5 @@ name = \"libutils\"\n-version = \"0.1.4\"\n+version = \"0.1.5\"\ndiff --git a/libs/libutils/src/libutils/exceptions.py b/libs/libutils/src/libutils/exceptions.py\nindex d46ce36e..84425919 100644\n--- a/libs/libutils/src/libutils/exceptions.py\n+++ b/libs/libutils/src/libutils/exceptions.py\n@@ -16,2 +16 @@ class Status400ErrorResponse(TypedDict):\n- status_code: int\n- message: str\n+ error: str\n@@ -24,2 +23 @@ class Status500ErrorResponse(TypedDict):\n- status_code: int\n- message: str\n+ error: str\n@@ -70,2 +68 @@ class Status400Error(StatusError):\n- \"status_code\": self.status_code,\n- \"message\": self.message,\n+ \"error\": self.message,\n@@ -91,2 +88 @@ class Status500Error(StatusError):\n- \"status_code\": self.status_code,\n- \"message\": self.message,\n+ \"error\": self.message,\ndiff --git a/services/admin/poetry.lock b/services/admin/poetry.lock\nindex ba894246..c98809e5 100644\n--- a/services/admin/poetry.lock\n+++ b/services/admin/poetry.lock\n@@ -456 +456 @@ name = \"libcache\"\n-version = \"0.1.13\"\n+version = \"0.1.16\"\n@@ -470 +470 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl\"\n@@ -491 +491 @@ name = \"libutils\"\n-version = \"0.1.4\"\n+version = \"0.1.5\"\n@@ -504 +504 @@ type = \"file\"\n-url = \"../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl\"\n+url = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n@@ -1201 +1201 @@ python-versions = \"3.9.6\"\n-content-hash = \"cc0c0464697e5587964afd0f8ef0d208376dc2b16c71e2a9abfc54f71ebb5f19\"\n+content-hash = \"5bbeeb7ed416503fb906a8fb5f9a430764f97f03f9749ab239a121f3c53c260e\"\n@@ -1471 +1471 @@ libcache = [\n- {file = \"libcache-0.1.13-py3-none-any.whl\", hash = \"sha256:14595ef4c75207f51f999c8473e43831dbe2c1567b775bf043aa86974e76aed1\"},\n+ {file = \"libcache-0.1.16-py3-none-any.whl\", hash = \"sha256:d0c8606cbc4b3c703e0ebe51a1cd6774c11a85ab893360ff0900fb16c2e7634d\"},\n@@ -1477 +1477 @@ libutils = [\n- {file = \"libutils-0.1.4-py3-none-any.whl\", hash = \"sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952\"},\n+ {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\ndiff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml\nindex d39ee440..c4867483 100644\n--- a/services/admin/pyproject.toml\n+++ b/services/admin/pyproject.toml\n@@ -9 +9 @@ huggingface-hub = \"^0.6.0\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl\", develop = false }\n@@ -11 +11 @@ libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\",\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\ndiff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py\nindex d46ca43a..1f931b80 100644\n--- a/services/admin/src/admin/scripts/refresh_cache.py\n+++ b/services/admin/src/admin/scripts/refresh_cache.py\n@@ -4 +3,0 @@ from typing import List\n-from dotenv import load_dotenv\n@@ -11,3 +9,0 @@ from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL\n-# Load environment variables defined in .env, if any\n-load_dotenv()\n-\ndiff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py\nindex 42d87761..821caeaf 100644\n--- a/services/admin/src/admin/scripts/refresh_cache_canonical.py\n+++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py\n@@ -3 +2,0 @@ import logging\n-from dotenv import load_dotenv\n@@ -10,3 +8,0 @@ from admin.scripts.refresh_cache import refresh_datasets_cache\n-# Load environment variables defined in .env, if any\n-load_dotenv()\n-\ndiff --git a/services/admin/src/admin/scripts/refresh_cache_errors.py b/services/admin/src/admin/scripts/refresh_cache_errors.py\nnew file mode 100644\nindex 00000000..e4be08b3\n--- /dev/null\n+++ b/services/admin/src/admin/scripts/refresh_cache_errors.py\n@@ -0,0 +1,14 @@\n+import logging\n+\n+from libcache.simple_cache import connect_to_cache, get_datasets_with_some_error\n+from libutils.logger import init_logger\n+\n+from admin.config import LOG_LEVEL, MONGO_CACHE_DATABASE, MONGO_URL\n+from admin.scripts.refresh_cache import refresh_datasets_cache\n+\n+if __name__ == \"__main__\":\n+ init_logger(LOG_LEVEL, \"refresh_cache_canonical\")\n+ logger = logging.getLogger(\"refresh_cache_canonical\")\n+ connect_to_cache(MONGO_CACHE_DATABASE, MONGO_URL)\n+ refresh_datasets_cache(get_datasets_with_some_error())\n+ logger.info(\"all the datasets with some error in the cache have been added to the queue to be refreshed\")\ndiff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py\nindex c24b6b12..d0e2e127 100644\n--- a/services/admin/src/admin/scripts/warm_cache.py\n+++ b/services/admin/src/admin/scripts/warm_cache.py\n@@ -4 +3,0 @@ from typing import List\n-from dotenv import load_dotenv\n@@ -21,3 +19,0 @@ from admin.config import (\n-# Load environment variables defined in .env, if any\n-load_dotenv()\n-\ndiff --git a/services/api/poetry.lock b/services/api/poetry.lock\nindex 3f43c0ab..6cdbb7c7 100644\n--- a/services/api/poetry.lock\n+++ b/services/api/poetry.lock\n@@ -455 +455 @@ name = \"libcache\"\n-version = \"0.1.13\"\n+version = \"0.1.14\"\n@@ -469 +469 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\"\n@@ -490 +490 @@ name = \"libutils\"\n-version = \"0.1.4\"\n+version = \"0.1.5\"\n@@ -503 +503 @@ type = \"file\"\n-url = \"../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl\"\n+url = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n@@ -1200 +1200 @@ python-versions = \"3.9.6\"\n-content-hash = \"d4be102f2a8409c78e84c7b8923669e16c36ea51b2c90796f0df95f67e576855\"\n+content-hash = \"895ca8658ef15a1dfd6f107f94b756232ed37ffdbd90894abf0404c2d9273605\"\n@@ -1470 +1470 @@ libcache = [\n- {file = \"libcache-0.1.13-py3-none-any.whl\", hash = \"sha256:14595ef4c75207f51f999c8473e43831dbe2c1567b775bf043aa86974e76aed1\"},\n+ {file = \"libcache-0.1.14-py3-none-any.whl\", hash = \"sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5\"},\n@@ -1476 +1476 @@ libutils = [\n- {file = \"libutils-0.1.4-py3-none-any.whl\", hash = \"sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952\"},\n+ {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\ndiff --git a/services/api/pyproject.toml b/services/api/pyproject.toml\nindex 36846bdd..5e49d1b6 100644\n--- a/services/api/pyproject.toml\n+++ b/services/api/pyproject.toml\n@@ -9 +9 @@ huggingface-hub = \"^0.5.1\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\", develop = false }\n@@ -11 +11 @@ libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\",\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\ndiff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py\nindex 45e45e18..35c8b93a 100644\n--- a/services/api/tests/test_app.py\n+++ b/services/api/tests/test_app.py\n@@ -261 +261 @@ def test_splits_cache_refreshing(client: TestClient) -> None:\n- assert response.json()[\"message\"] == \"Not found.\"\n+ assert response.json()[\"error\"] == \"Not found.\"\n@@ -266 +266 @@ def test_splits_cache_refreshing(client: TestClient) -> None:\n- assert response.json()[\"message\"] == \"The list of splits is not ready yet. Please retry later.\"\n+ assert response.json()[\"error\"] == \"The list of splits is not ready yet. Please retry later.\"\n@@ -279 +279 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None:\n- assert response.json()[\"message\"] == \"Not found.\"\n+ assert response.json()[\"error\"] == \"Not found.\"\n@@ -284 +284 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None:\n- assert response.json()[\"message\"] == \"The list of the first rows is not ready yet. Please retry later.\"\n+ assert response.json()[\"error\"] == \"The list of the first rows is not ready yet. Please retry later.\"\ndiff --git a/services/worker/poetry.lock b/services/worker/poetry.lock\nindex c17868d3..a85e5c8b 100644\n--- a/services/worker/poetry.lock\n+++ b/services/worker/poetry.lock\n@@ -434 +434 @@ torch = [\"torch\"]\n-tests = [\"importlib-resources\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[s3,server] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n+tests = [\"importlib-resources\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[server,s3] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n@@ -440 +440 @@ docs = [\"s3fs\"]\n-dev = [\"importlib-resources\", \"pyyaml (>=5.3.1)\", \"isort (>=5.0.0)\", \"flake8 (>=3.8.3)\", \"black (>=22.0,<23.0)\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[s3,server] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n+dev = [\"importlib-resources\", \"pyyaml (>=5.3.1)\", \"isort (>=5.0.0)\", \"flake8 (>=3.8.3)\", \"black (>=22.0,<23.0)\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[server,s3] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n@@ -968 +968 @@ name = \"libcache\"\n-version = \"0.1.12\"\n+version = \"0.1.14\"\n@@ -982 +982 @@ type = \"file\"\n-url = \"../../libs/libcache/dist/libcache-0.1.12-py3-none-any.whl\"\n+url = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\"\n@@ -1037 +1037 @@ name = \"libutils\"\n-version = \"0.1.4\"\n+version = \"0.1.5\"\n@@ -1050 +1050 @@ type = \"file\"\n-url = \"../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl\"\n+url = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\"\n@@ -2532 +2532 @@ python-versions = \"3.9.6\"\n-content-hash = \"7d206c1eea9a8903b226f7d7339293781c1b4c18557239fce1cd921a7bb2cdbe\"\n+content-hash = \"98bda989cbdc2c286d9519efcd519a96853892e08ac038db846adcd242efb1b1\"\n@@ -3332 +3332 @@ libcache = [\n- {file = \"libcache-0.1.12-py3-none-any.whl\", hash = \"sha256:67b13eaf7e2fd98a9d52a72acd5d8e8a9b4943416b1a6b66bfd2ea9a921f4e60\"},\n+ {file = \"libcache-0.1.14-py3-none-any.whl\", hash = \"sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5\"},\n@@ -3351 +3351 @@ libutils = [\n- {file = \"libutils-0.1.4-py3-none-any.whl\", hash = \"sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952\"},\n+ {file = \"libutils-0.1.5-py3-none-any.whl\", hash = \"sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9\"},\ndiff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml\nindex d317693f..9a77ea5e 100644\n--- a/services/worker/pyproject.toml\n+++ b/services/worker/pyproject.toml\n@@ -18 +18 @@ kss = \"^2.6.0\"\n-libcache = { path = \"../../libs/libcache/dist/libcache-0.1.12-py3-none-any.whl\", develop = false }\n+libcache = { path = \"../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl\", develop = false }\n@@ -20 +20 @@ libqueue = { path = \"../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl\",\n-libutils = { path = \"../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl\", develop = false }\n+libutils = { path = \"../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl\", develop = false }\ndiff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py\nindex ba1b5511..485c7faa 100644\n--- a/services/worker/tests/test_refresh.py\n+++ b/services/worker/tests/test_refresh.py\n@@ -59,2 +59 @@ def test_doesnotexist() -> None:\n- assert response[\"status_code\"] == 400\n- assert response[\"message\"] == \"Cannot get the split names for the dataset.\"\n+ assert response[\"error\"] == \"Cannot get the split names for the dataset.\""}}},{"rowIdx":1689,"cells":{"hash":{"kind":"string","value":"150254d346e4bec741f2f3ed21644d7e3d05125d"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-26T15:07:59","string":"2022-07-26T15:07:59"},"subject":{"kind":"string","value":"chore: 🤖 move /infra/charts/datasets-server to /chart (#476)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/infra.yml b/.github/workflows/chart.yml\nsimilarity index 60%\nrename from .github/workflows/infra.yml\nrename to .github/workflows/chart.yml\nindex 2543381d..fbc2b664 100644\n--- a/.github/workflows/infra.yml\n+++ b/.github/workflows/chart.yml\n@@ -1 +1 @@\n-name: infra\n+name: chart\n@@ -6,2 +6,2 @@ on:\n- - 'infra/charts/datasets-server/**'\n- - '.github/workflows/infra.yml'\n+ - 'chart/**'\n+ - '.github/workflows/chart.yml'\n@@ -16 +16 @@ jobs:\n- working-directory: infra/charts/datasets-server\n+ working-directory: chart\ndiff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml\nindex 1625880e..5eda27b3 100644\n--- a/.github/workflows/e2e.yml\n+++ b/.github/workflows/e2e.yml\n@@ -7 +7 @@ on:\n- - 'infra/charts/datasets-server/docker-images.yaml'\n+ - 'chart/docker-images.yaml'\n@@ -21 +21 @@ jobs:\n- config-file: infra/charts/datasets-server/docker-images.yaml\n+ config-file: chart/docker-images.yaml\ndiff --git a/CONTRIBUTING.md b/CONTRIBUTING.md\nindex b614be96..5ee9d20d 100644\n--- a/CONTRIBUTING.md\n+++ b/CONTRIBUTING.md\n@@ -72 +72 @@ We don't change the version of the libraries and services in `pyproject.toml`, b\n-- increment the version (that we increment accordingly to the change: major/minor/bugfix) in the `appVersion` parameter of the [Helm chart](./infra/charts/datasets-server/Chart.yaml)\n+- increment the version (that we increment accordingly to the change: major/minor/bugfix) in the `appVersion` parameter of the [Helm chart](./chart/Chart.yaml)\ndiff --git a/Makefile b/Makefile\nindex 4398c265..1dfc4331 100644\n--- a/Makefile\n+++ b/Makefile\n@@ -16 +16 @@ REMOTE_IMAGES_DOCKER_COMPOSE := ./tools/docker-compose-datasets-server-from-remo\n-DOCKER_IMAGES := ./infra/charts/datasets-server/docker-images.yaml\n+DOCKER_IMAGES := ./chart/docker-images.yaml\n@@ -71 +71 @@ quality:\n-\t$(MAKE) -C infra/charts/datasets-server/ quality\n+\t$(MAKE) -C chart/ quality\ndiff --git a/infra/charts/datasets-server/.gitignore b/chart/.gitignore\nsimilarity index 100%\nrename from infra/charts/datasets-server/.gitignore\nrename to chart/.gitignore\ndiff --git a/infra/charts/datasets-server/.helmignore b/chart/.helmignore\nsimilarity index 100%\nrename from infra/charts/datasets-server/.helmignore\nrename to chart/.helmignore\ndiff --git a/infra/charts/datasets-server/Chart.lock b/chart/Chart.lock\nsimilarity index 100%\nrename from infra/charts/datasets-server/Chart.lock\nrename to chart/Chart.lock\ndiff --git a/infra/charts/datasets-server/Chart.yaml b/chart/Chart.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/Chart.yaml\nrename to chart/Chart.yaml\ndiff --git a/infra/charts/datasets-server/Makefile b/chart/Makefile\nsimilarity index 100%\nrename from infra/charts/datasets-server/Makefile\nrename to chart/Makefile\ndiff --git a/chart/README.md b/chart/README.md\nnew file mode 100644\nindex 00000000..490bd757\n--- /dev/null\n+++ b/chart/README.md\n@@ -0,0 +1,37 @@\n+# datasets-server Helm chart\n+\n+The `datasets-server` Helm [chart](https://helm.sh/docs/topics/charts/) describes the Kubernetes resources of the datasets-server application.\n+\n+See the [helm.md](../docs_to_notion/helm.md) for some documentation about Helm and the Charts.\n+\n+The cloud infrastructure for the datasets-server uses:\n+\n+- Amazon ECR to store the docker images of the datasets-server services. See [docs/docker.md](../docs_to_notion/docker.md).\n+- Amazon EKS for the Kubernetes clusters. See [docs/kubernetes.md](../docs_to_notion/kubernetes.md).\n+\n+Note that this Helm chart is used to manage the deployment of the `datasets-server` services to the cloud infrastructure (AWS) using Kubernetes. The infrastructure in itself is not created here, but in https://github.com/huggingface/infra/ using terraform. If you need to create or modify some resources, contact the infra team.\n+\n+You might also be interested in reading the doc for [moon-landing](https://github.com/huggingface/moon-landing/blob/main/infra/hub/README.md).\n+\n+## Deploy\n+\n+To deploy to the `hub-ephemeral` Kubernetes cluster, ensure to first:\n+\n+- install the [tools](../docs_to_notion/tools.md)\n+- [authenticate with AWS](../docs_to_notion/authentication.md)\n+- [select the `hub-ephemeral` cluster](../docs_to_notion/kubernetes.md#cluster)\n+\n+Set the SHA of the last commit in [values.yaml](./values.yaml). It allows to select the adequate docker images in the ECR repositories (see the last build images at https://github.com/huggingface/datasets-server/actions/workflows/docker.yml).\n+\n+Dry run:\n+\n+```shell\n+make init\n+make diff-dev\n+```\n+\n+Deploy:\n+\n+```shell\n+make upgrade-dev\n+```\ndiff --git a/infra/charts/datasets-server/docker-images.yaml b/chart/docker-images.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/docker-images.yaml\nrename to chart/docker-images.yaml\ndiff --git a/infra/charts/datasets-server/env/dev.yaml b/chart/env/dev.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/env/dev.yaml\nrename to chart/env/dev.yaml\ndiff --git a/infra/charts/datasets-server/env/prod.yaml b/chart/env/prod.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/env/prod.yaml\nrename to chart/env/prod.yaml\ndiff --git a/infra/charts/datasets-server/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template\nsimilarity index 100%\nrename from infra/charts/datasets-server/nginx-templates/default.conf.template\nrename to chart/nginx-templates/default.conf.template\ndiff --git a/infra/charts/datasets-server/static-files/openapi.json b/chart/static-files/openapi.json\nsimilarity index 100%\nrename from infra/charts/datasets-server/static-files/openapi.json\nrename to chart/static-files/openapi.json\ndiff --git a/infra/charts/datasets-server/templates/_helpers.tpl b/chart/templates/_helpers.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/_helpers.tpl\nrename to chart/templates/_helpers.tpl\ndiff --git a/infra/charts/datasets-server/templates/_initContainerAssets.tpl b/chart/templates/_initContainerAssets.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/_initContainerAssets.tpl\nrename to chart/templates/_initContainerAssets.tpl\ndiff --git a/infra/charts/datasets-server/templates/_initContainerCache.tpl b/chart/templates/_initContainerCache.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/_initContainerCache.tpl\nrename to chart/templates/_initContainerCache.tpl\ndiff --git a/infra/charts/datasets-server/templates/_initContainerNumbaCache.tpl b/chart/templates/_initContainerNumbaCache.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/_initContainerNumbaCache.tpl\nrename to chart/templates/_initContainerNumbaCache.tpl\ndiff --git a/infra/charts/datasets-server/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/admin/_container.tpl\nrename to chart/templates/admin/_container.tpl\ndiff --git a/infra/charts/datasets-server/templates/admin/deployment.yaml b/chart/templates/admin/deployment.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/admin/deployment.yaml\nrename to chart/templates/admin/deployment.yaml\ndiff --git a/infra/charts/datasets-server/templates/admin/service.yaml b/chart/templates/admin/service.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/admin/service.yaml\nrename to chart/templates/admin/service.yaml\ndiff --git a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml b/chart/templates/admin/servicemonitor.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/admin/servicemonitor.yaml\nrename to chart/templates/admin/servicemonitor.yaml\ndiff --git a/infra/charts/datasets-server/templates/api/_container.tpl b/chart/templates/api/_container.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/api/_container.tpl\nrename to chart/templates/api/_container.tpl\ndiff --git a/infra/charts/datasets-server/templates/api/deployment.yaml b/chart/templates/api/deployment.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/api/deployment.yaml\nrename to chart/templates/api/deployment.yaml\ndiff --git a/infra/charts/datasets-server/templates/api/service.yaml b/chart/templates/api/service.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/api/service.yaml\nrename to chart/templates/api/service.yaml\ndiff --git a/infra/charts/datasets-server/templates/api/servicemonitor.yaml b/chart/templates/api/servicemonitor.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/api/servicemonitor.yaml\nrename to chart/templates/api/servicemonitor.yaml\ndiff --git a/infra/charts/datasets-server/templates/ingress.yaml b/chart/templates/ingress.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/ingress.yaml\nrename to chart/templates/ingress.yaml\ndiff --git a/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/reverse-proxy/_container.tpl\nrename to chart/templates/reverse-proxy/_container.tpl\ndiff --git a/infra/charts/datasets-server/templates/reverse-proxy/configMap.yaml b/chart/templates/reverse-proxy/configMap.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/reverse-proxy/configMap.yaml\nrename to chart/templates/reverse-proxy/configMap.yaml\ndiff --git a/infra/charts/datasets-server/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/reverse-proxy/deployment.yaml\nrename to chart/templates/reverse-proxy/deployment.yaml\ndiff --git a/infra/charts/datasets-server/templates/reverse-proxy/service.yaml b/chart/templates/reverse-proxy/service.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/reverse-proxy/service.yaml\nrename to chart/templates/reverse-proxy/service.yaml\ndiff --git a/infra/charts/datasets-server/templates/worker/datasets/_container.tpl b/chart/templates/worker/datasets/_container.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/datasets/_container.tpl\nrename to chart/templates/worker/datasets/_container.tpl\ndiff --git a/infra/charts/datasets-server/templates/worker/datasets/deployment.yaml b/chart/templates/worker/datasets/deployment.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/datasets/deployment.yaml\nrename to chart/templates/worker/datasets/deployment.yaml\ndiff --git a/infra/charts/datasets-server/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/first-rows/_container.tpl\nrename to chart/templates/worker/first-rows/_container.tpl\ndiff --git a/infra/charts/datasets-server/templates/worker/first-rows/deployment.yaml b/chart/templates/worker/first-rows/deployment.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/first-rows/deployment.yaml\nrename to chart/templates/worker/first-rows/deployment.yaml\ndiff --git a/infra/charts/datasets-server/templates/worker/splits-next/_container.tpl b/chart/templates/worker/splits-next/_container.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/splits-next/_container.tpl\nrename to chart/templates/worker/splits-next/_container.tpl\ndiff --git a/infra/charts/datasets-server/templates/worker/splits-next/deployment.yaml b/chart/templates/worker/splits-next/deployment.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/splits-next/deployment.yaml\nrename to chart/templates/worker/splits-next/deployment.yaml\ndiff --git a/infra/charts/datasets-server/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/splits/_container.tpl\nrename to chart/templates/worker/splits/_container.tpl\ndiff --git a/infra/charts/datasets-server/templates/worker/splits/deployment.yaml b/chart/templates/worker/splits/deployment.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/templates/worker/splits/deployment.yaml\nrename to chart/templates/worker/splits/deployment.yaml\ndiff --git a/infra/charts/datasets-server/values.yaml b/chart/values.yaml\nsimilarity index 100%\nrename from infra/charts/datasets-server/values.yaml\nrename to chart/values.yaml\ndiff --git a/infra/docs/authentication.md b/docs_to_notion/authentication.md\nsimilarity index 100%\nrename from infra/docs/authentication.md\nrename to docs_to_notion/authentication.md\ndiff --git a/infra/docs/docker.md b/docs_to_notion/docker.md\nsimilarity index 100%\nrename from infra/docs/docker.md\nrename to docs_to_notion/docker.md\ndiff --git a/infra/docs/helm.md b/docs_to_notion/helm.md\nsimilarity index 100%\nrename from infra/docs/helm.md\nrename to docs_to_notion/helm.md\ndiff --git a/infra/docs/kubernetes.md b/docs_to_notion/kubernetes.md\nsimilarity index 100%\nrename from infra/docs/kubernetes.md\nrename to docs_to_notion/kubernetes.md\ndiff --git a/infra/docs/tools.md b/docs_to_notion/tools.md\nsimilarity index 100%\nrename from infra/docs/tools.md\nrename to docs_to_notion/tools.md\ndiff --git a/e2e/Makefile b/e2e/Makefile\nindex 333d081e..c35079a0 100644\n--- a/e2e/Makefile\n+++ b/e2e/Makefile\n@@ -11 +11 @@ TEST_DOCKER_COMPOSE := ../tools/docker-compose-datasets-server-from-remote-image\n-DOCKER_IMAGES := ../infra/charts/datasets-server/docker-images.yaml\n+DOCKER_IMAGES := ../chart/docker-images.yaml\ndiff --git a/infra/README.md b/infra/README.md\ndeleted file mode 100644\nindex 615e9afd..00000000\n--- a/infra/README.md\n+++ /dev/null\n@@ -1,22 +0,0 @@\n-# Infra\n-\n-## Description\n-\n-The cloud infrastructure for the datasets-server uses:\n-\n-- Amazon ECR to store the docker images of the datasets-server services. See [docs/docker.md](./docs/docker.md).\n-- Amazon EKS for the Kubernetes clusters. See [docs/kubernetes.md](./docs/kubernetes.md).\n-\n-Before starting, ensure to:\n-\n-- [install the tools](./docs/tools.md)\n-- [setup the AWS CLI profile](./docs/authentication.md)\n-\n-Note that this directory (`infra/`) is used to manage the deployment of the `datasets-server` services to the cloud infrastructure (AWS) using Kubernetes. The infrastructure in itself is not created here, but in https://github.com/huggingface/infra/ using terraform. If you need to create or modify some resources, contact the infra team.\n-\n-The subdirectories are:\n-\n-- [docs/](./docs/): documentation\n-- [charts](./charts): the kubernetes configurations, packaged as [Helm charts](https://helm.sh/docs/topics/charts/).\n-\n-All the docs are located in [docs/](./docs). You might also be interested in reading the doc for [moon-landing](https://github.com/huggingface/moon-landing/blob/main/infra/hub/README.md).\ndiff --git a/infra/charts/datasets-server/README.md b/infra/charts/datasets-server/README.md\ndeleted file mode 100644\nindex 6a78d325..00000000\n--- a/infra/charts/datasets-server/README.md\n+++ /dev/null\n@@ -1,28 +0,0 @@\n-# datasets-server Helm chart\n-\n-The `datasets-server` Helm [chart](https://helm.sh/docs/topics/charts/) describes the Kubernetes resources of the datasets-server application.\n-\n-See the [helm.md](../../docs/helm.md) for some documentation about Helm and the Charts.\n-\n-## Deploy\n-\n-To deploy to the `hub-ephemeral` Kubernetes cluster, ensure to first:\n-\n-- install the [tools](../../docs/tools.md)\n-- [authenticate with AWS](../../docs/authentication.md)\n-- [select the `hub-ephemeral` cluster](../../docs/kubernetes.md#cluster)\n-\n-Set the SHA of the last commit in [values.yaml](./values.yaml). It allows to select the adequate docker images in the ECR repositories (see the last build images at https://github.com/huggingface/datasets-server/actions/workflows/docker.yml).\n-\n-Dry run:\n-\n-```shell\n-make init\n-make diff-dev\n-```\n-\n-Deploy:\n-\n-```shell\n-make upgrade-dev\n-```\ndiff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md\nindex d9c9f119..7aad713d 100644\n--- a/services/reverse-proxy/README.md\n+++ b/services/reverse-proxy/README.md\n@@ -7 +7 @@ See [docker-compose.yml](../../docker-compose.yml) for usage.\n-Note that the template configuration is located in [infra/charts/datasets-server/nginx-templates/](../../infra/charts/datasets-server/nginx-templates/) in order to be reachable by the Helm chart to deploy on Kubernetes.\n+Note that the template configuration is located in [chart/nginx-templates/](../../chart/nginx-templates/) in order to be reachable by the Helm chart to deploy on Kubernetes.\ndiff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml\nindex 95d94dce..62ecad1a 100644\n--- a/tools/docker-compose-datasets-server-from-local-code.yml\n+++ b/tools/docker-compose-datasets-server-from-local-code.yml\n@@ -6 +6 @@ services:\n- - ../infra/charts/datasets-server/nginx-templates/:/etc/nginx/templates:ro\n+ - ../chart/nginx-templates/:/etc/nginx/templates:ro\n@@ -9 +9 @@ services:\n- - ../infra/charts/datasets-server/static-files/openapi.json:/static-files/openapi.json:ro\n+ - ../chart/static-files/openapi.json:/static-files/openapi.json:ro\ndiff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml\nindex d6e8670c..1eb1f240 100644\n--- a/tools/docker-compose-datasets-server-from-remote-images.yml\n+++ b/tools/docker-compose-datasets-server-from-remote-images.yml\n@@ -6 +6 @@ services:\n- - ../infra/charts/datasets-server/nginx-templates/:/etc/nginx/templates:ro\n+ - ../chart/nginx-templates/:/etc/nginx/templates:ro\n@@ -9 +9 @@ services:\n- - ../infra/charts/datasets-server/static-files/openapi.json:/static-files/openapi.json:ro\n+ - ../chart/static-files/openapi.json:/static-files/openapi.json:ro"}}},{"rowIdx":1690,"cells":{"hash":{"kind":"string","value":"fd0f2efaded8c77b112f178c01e8b25f5c592a9a"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T20:50:27","string":"2022-07-25T20:50:27"},"subject":{"kind":"string","value":"feat: 🎸 fix the servicemonitor url (#472)"},"diff":{"kind":"string","value":"diff --git a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml\nindex 7f78297a..234943ac 100644\n--- a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml\n+++ b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml\n@@ -11 +11 @@ spec:\n- - path: /admin/metrics\n+ - path: /metrics"}}},{"rowIdx":1691,"cells":{"hash":{"kind":"string","value":"fdb8086779f0aa41a7a5423ad1ddc6a0f00d8624"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T20:48:43","string":"2022-07-25T20:48:43"},"subject":{"kind":"string","value":"fix: 🐛 fix target name (#471)"},"diff":{"kind":"string","value":"diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml\nindex ebf862d3..346e2656 100644\n--- a/infra/charts/datasets-server/docker-images.yaml\n+++ b/infra/charts/datasets-server/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-3111a16\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-abd00fe\",\ndiff --git a/services/admin/Makefile b/services/admin/Makefile\nindex f7f42880..8921b252 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -42 +42 @@ refresh-cache:\n-refresh-cache:\n+refresh-cache-canonical:"}}},{"rowIdx":1692,"cells":{"hash":{"kind":"string","value":"5a118e565f613134c98f49f94adde5f7e89415d0"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T20:38:06","string":"2022-07-25T20:38:06"},"subject":{"kind":"string","value":"feat: 🎸 upgrade datasets to 2.4.0 (#470)"},"diff":{"kind":"string","value":"diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml\nindex 0a8e6e9b..ebf862d3 100644\n--- a/infra/charts/datasets-server/docker-images.yaml\n+++ b/infra/charts/datasets-server/docker-images.yaml\n@@ -7,4 +7,4 @@\n- \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066\",\n- \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066\",\n- \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066\",\n- \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066\"\n+ \"datasets\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\",\n+ \"firstRows\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\",\n+ \"splits\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\",\n+ \"splitsNext\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb\"\ndiff --git a/services/worker/poetry.lock b/services/worker/poetry.lock\nindex ab88e537..c17868d3 100644\n--- a/services/worker/poetry.lock\n+++ b/services/worker/poetry.lock\n@@ -408,2 +408,2 @@ name = \"datasets\"\n-version = \"2.3.3.dev0\"\n-description = \"\"\n+version = \"2.4.0\"\n+description = \"HuggingFace community-driven open-source library of datasets\"\n@@ -413 +412,0 @@ python-versions = \"*\"\n-develop = false\n@@ -418 +417 @@ dill = \"<0.3.6\"\n-fsspec = {version = \">=2021.05.0\", extras = [\"http\"]}\n+fsspec = {version = \">=2021.11.1\", extras = [\"http\"]}\n@@ -433 +431,0 @@ xxhash = \"*\"\n-audio = [\"librosa\"]\n@@ -435,3 +432,0 @@ vision = [\"Pillow (>=6.2.1)\"]\n-apache-beam = [\"apache-beam (>=2.26.0)\"]\n-tensorflow = [\"tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)\"]\n-tensorflow_gpu = [\"tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)\"]\n@@ -439,4 +434,5 @@ torch = [\"torch\"]\n-s3 = [\"fsspec\", \"boto3\", \"botocore\", \"s3fs\"]\n-tests = [\"absl-py\", \"pytest\", \"pytest-datadir\", \"pytest-xdist\", \"apache-beam (>=2.26.0)\", \"elasticsearch (<8.0.0)\", \"aiobotocore (==1.4.2)\", \"boto3 (==1.17.106)\", \"botocore (==1.20.106)\", \"faiss-cpu (>=1.6.4)\", \"fsspec\", \"moto[server,s3] (==2.0.4)\", \"rarfile (>=4.0)\", \"s3fs (==2021.08.1)\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"torch\", \"torchaudio\", \"soundfile\", \"transformers\", \"bs4\", \"conllu\", \"h5py\", \"langdetect\", \"lxml\", \"lz4\", \"mwparserfromhell\", \"nltk\", \"openpyxl\", \"py7zr\", \"tldextract\", \"zstandard\", \"bigbench\", \"sentencepiece\", \"sacremoses\", \"bert_score (>=0.3.6)\", \"jiwer\", \"mauve-text\", \"rouge-score\", \"sacrebleu\", \"sacremoses\", \"scikit-learn\", \"scipy\", \"sentencepiece\", \"seqeval\", \"toml (>=0.10.1)\", \"requests_file (>=1.5.1)\", \"tldextract (>=3.1.0)\", \"texttable (>=1.6.3)\", \"Werkzeug (>=1.0.1)\", \"six (>=1.15.0,<1.16.0)\"]\n-quality = [\"black (>=22.0,<23.0)\", \"flake8 (>=3.8.3)\", \"isort (>=5.0.0)\", \"pyyaml (>=5.3.1)\"]\n-benchmarks = [\"numpy (==1.18.5)\", \"tensorflow (==2.3.0)\", \"torch (==1.6.0)\", \"transformers (==3.0.2)\"]\n+tests = [\"importlib-resources\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[s3,server] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n+tensorflow_gpu = [\"tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)\"]\n+tensorflow = [\"tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)\"]\n+s3 = [\"s3fs\", \"botocore\", \"boto3\", \"fsspec\"]\n+quality = [\"pyyaml (>=5.3.1)\", \"isort (>=5.0.0)\", \"flake8 (>=3.8.3)\", \"black (>=22.0,<23.0)\"]\n@@ -444,6 +440,4 @@ docs = [\"s3fs\"]\n-\n-[package.source]\n-type = \"git\"\n-url = \"https://github.com/huggingface/datasets.git\"\n-reference = \"7e514c312fcc1d4b8f8e297df5549f669bfb30f8\"\n-resolved_reference = \"7e514c312fcc1d4b8f8e297df5549f669bfb30f8\"\n+dev = [\"importlib-resources\", \"pyyaml (>=5.3.1)\", \"isort (>=5.0.0)\", \"flake8 (>=3.8.3)\", \"black (>=22.0,<23.0)\", \"librosa\", \"Pillow (>=6.2.1)\", \"six (>=1.15.0,<1.16.0)\", \"Werkzeug (>=1.0.1)\", \"texttable (>=1.6.3)\", \"tldextract (>=3.1.0)\", \"requests-file (>=1.5.1)\", \"toml (>=0.10.1)\", \"seqeval\", \"scipy\", \"scikit-learn\", \"sacrebleu\", \"rouge-score (<0.0.7)\", \"mauve-text\", \"jiwer\", \"bert-score (>=0.3.6)\", \"sacremoses\", \"sentencepiece\", \"zstandard\", \"tldextract\", \"py7zr\", \"openpyxl\", \"nltk\", \"mwparserfromhell\", \"lz4\", \"lxml\", \"langdetect\", \"h5py\", \"conllu\", \"bs4\", \"transformers\", \"soundfile\", \"torchaudio\", \"torch\", \"tensorflow (>=2.3,!=2.6.0,!=2.6.1)\", \"s3fs (>=2021.11.1)\", \"rarfile (>=4.0)\", \"moto[s3,server] (==2.0.4)\", \"fsspec\", \"faiss-cpu (>=1.6.4)\", \"botocore (>=1.22.8)\", \"boto3 (>=1.19.8)\", \"aiobotocore (>=2.0.1)\", \"elasticsearch (<8.0.0)\", \"apache-beam (>=2.26.0)\", \"pytest-xdist\", \"pytest-datadir\", \"pytest\", \"absl-py\"]\n+benchmarks = [\"transformers (==3.0.2)\", \"torch (==1.6.0)\", \"tensorflow (==2.3.0)\", \"numpy (==1.18.5)\"]\n+audio = [\"librosa\"]\n+apache-beam = [\"apache-beam (>=2.26.0)\"]\n@@ -2538 +2532 @@ python-versions = \"3.9.6\"\n-content-hash = \"dcd678b261dc538fcf1c5d8eaacb5276b6784c69cd5f67853480ec05096ce65f\"\n+content-hash = \"7d206c1eea9a8903b226f7d7339293781c1b4c18557239fce1cd921a7bb2cdbe\"\ndiff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml\nindex 66cf3118..d317693f 100644\n--- a/services/worker/pyproject.toml\n+++ b/services/worker/pyproject.toml\n@@ -14,6 +14 @@ conllu = \"^4.4.1\"\n-#datasets = { extras = [\"audio\", \"vision\"], version = \"^2.3.2\" }\n-# branch on main for: a) timestamp cast to datetime, b) features with inference in streaming mode: IterableDataset._resolve_features()\n-datasets = { git = \"https://github.com/huggingface/datasets.git\", rev = \"7e514c312fcc1d4b8f8e297df5549f669bfb30f8\", extras = [\n- \"audio\",\n- \"vision\",\n-] }\n+datasets = { extras = [\"audio\", \"vision\"], version = \"^2.4.0\" }"}}},{"rowIdx":1693,"cells":{"hash":{"kind":"string","value":"1e81b73b626d58f5a941459956587b21085cff56"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T20:07:28","string":"2022-07-25T20:07:28"},"subject":{"kind":"string","value":"feat: 🎸 revert to remove the /admin prefix (#469)"},"diff":{"kind":"string","value":"diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml\nindex 050733c4..0a8e6e9b 100644\n--- a/infra/charts/datasets-server/docker-images.yaml\n+++ b/infra/charts/datasets-server/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e996a30\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-3111a16\",\ndiff --git a/infra/charts/datasets-server/nginx-templates/default.conf.template b/infra/charts/datasets-server/nginx-templates/default.conf.template\nindex 75d6d24c..c03d7118 100644\n--- a/infra/charts/datasets-server/nginx-templates/default.conf.template\n+++ b/infra/charts/datasets-server/nginx-templates/default.conf.template\n@@ -22,0 +23,21 @@ server {\n+ location /admin/ {\n+ # note the trailing slash, to remove the /admin/ prefix\n+ proxy_pass ${URL_ADMIN}/;\n+ proxy_set_header Host $proxy_host;\n+ proxy_set_header X-Real-IP $remote_addr;\n+ proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n+ proxy_set_header X-Forwarded-Proto $scheme;\n+ proxy_http_version 1.1;\n+ # cache all the HEAD+GET requests (without Set-Cookie)\n+ # Cache-Control is used to determine the cache duration\n+ # see https://www.nginx.com/blog/nginx-caching-guide/\n+ proxy_buffering on;\n+ proxy_cache STATIC;\n+ proxy_cache_use_stale off;\n+ proxy_cache_background_update off;\n+ proxy_cache_lock off;\n+ add_header X-Cache-Status $upstream_cache_status;\n+ # we have to add Access-Control-Allow-Origin again, see https://nginx.org/en/docs/http/ngx_http_headers_module.html#add_header\n+ add_header 'Access-Control-Allow-Origin' '*' always;\n+ }\n+\n@@ -24 +45 @@ server {\n- proxy_pass ${TARGET_URL};\n+ proxy_pass ${URL_API};\ndiff --git a/infra/charts/datasets-server/templates/_helpers.tpl b/infra/charts/datasets-server/templates/_helpers.tpl\nindex 48b677a9..1b34814e 100644\n--- a/infra/charts/datasets-server/templates/_helpers.tpl\n+++ b/infra/charts/datasets-server/templates/_helpers.tpl\n@@ -130,0 +131,8 @@ It's named using the Release name\n+{{/*\n+The URL to access the admin service from another container\n+See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records\n+*/}}\n+{{- define \"admin.url\" -}}\n+{{- printf \"http://%s-admin.%s.svc.cluster.local:80\" ( include \"release\" . ) ( .Release.Namespace ) }}\n+{{- end }}\n+\ndiff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml\nindex 27e1e1e9..6fc6e777 100644\n--- a/infra/charts/datasets-server/templates/ingress.yaml\n+++ b/infra/charts/datasets-server/templates/ingress.yaml\n@@ -16,7 +15,0 @@ spec:\n- - backend:\n- service:\n- name: \"{{ include \"release\" . }}-admin\"\n- port:\n- name: http\n- pathType: Prefix\n- path: \"/admin/\"\ndiff --git a/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl b/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl\nindex 039173ee..f3649e1f 100644\n--- a/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl\n+++ b/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl\n@@ -20 +20,3 @@\n- - name: TARGET_URL\n+ - name: URL_ADMIN\n+ value: {{ include \"admin.url\" . | quote }}\n+ - name: URL_API\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex 365ff2e5..b780fc7f 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -52 +52 @@ The scripts:\n-The admin service provides technical endpoints, all under the `/admin/` path:\n+The admin service provides technical endpoints:\n@@ -54,4 +54,4 @@ The admin service provides technical endpoints, all under the `/admin/` path:\n-- `/admin/healthcheck`\n-- `/admin/metrics`: gives info about the cache and the queue\n-- `/admin/cache-reports`: give detailed reports on the content of the cache\n-- `/admin/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started)\n+- `/healthcheck`\n+- `/metrics`: gives info about the cache and the queue\n+- `/cache-reports`: give detailed reports on the content of the cache\n+- `/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started)\ndiff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py\nindex aa98773e..8e0fd500 100644\n--- a/services/admin/src/admin/app.py\n+++ b/services/admin/src/admin/app.py\n@@ -34,2 +34,2 @@ def create_app() -> Starlette:\n- Route(\"/admin/healthcheck\", endpoint=healthcheck_endpoint),\n- Route(\"/admin/metrics\", endpoint=prometheus.endpoint),\n+ Route(\"/healthcheck\", endpoint=healthcheck_endpoint),\n+ Route(\"/metrics\", endpoint=prometheus.endpoint),\n@@ -37 +37 @@ def create_app() -> Starlette:\n- Route(\"/admin/cache-reports\", endpoint=cache_reports_endpoint),\n+ Route(\"/cache-reports\", endpoint=cache_reports_endpoint),\n@@ -39 +39 @@ def create_app() -> Starlette:\n- Route(\"/admin/pending-jobs\", endpoint=pending_jobs_endpoint),\n+ Route(\"/pending-jobs\", endpoint=pending_jobs_endpoint),\ndiff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py\nindex 097f3cad..9618efdf 100644\n--- a/services/admin/tests/test_app.py\n+++ b/services/admin/tests/test_app.py\n@@ -32 +32 @@ def test_get_healthcheck(client: TestClient) -> None:\n- response = client.get(\"/admin/healthcheck\")\n+ response = client.get(\"/healthcheck\")\n@@ -38 +38 @@ def test_metrics(client: TestClient) -> None:\n- response = client.get(\"/admin/metrics\")\n+ response = client.get(\"/metrics\")\n@@ -53 +53 @@ def test_metrics(client: TestClient) -> None:\n- assert 'starlette_requests_total{method=\"GET\",path_template=\"/admin/metrics\"}' in metrics\n+ assert 'starlette_requests_total{method=\"GET\",path_template=\"/metrics\"}' in metrics\n@@ -57 +57 @@ def test_pending_jobs(client: TestClient) -> None:\n- response = client.get(\"/admin/pending-jobs\")\n+ response = client.get(\"/pending-jobs\")\n@@ -66 +66 @@ def test_cache_reports(client: TestClient) -> None:\n- response = client.get(\"/admin/cache-reports\")\n+ response = client.get(\"/cache-reports\")\ndiff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md\nindex 1df83dbf..d9c9f119 100644\n--- a/services/reverse-proxy/README.md\n+++ b/services/reverse-proxy/README.md\n@@ -25 +25,2 @@ It takes various environment variables, all of them are mandatory:\n-- `TARGET_URL`= URL of the API, eg `http://api:8080`\n+- `URL_ADMIN`= URL of the admin, eg `http://admin:8080`\n+- `URL_API`= URL of the API, eg `http://api:8080`\ndiff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml\nindex da729f3f..95d94dce 100644\n--- a/tools/docker-compose-datasets-server-from-local-code.yml\n+++ b/tools/docker-compose-datasets-server-from-local-code.yml\n@@ -20 +20,2 @@ services:\n- - TARGET_URL=http://api:8080\n+ - URL_ADMIN=http://admin:8081\n+ - URL_API=http://api:8080\ndiff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml\nindex c3988312..d6e8670c 100644\n--- a/tools/docker-compose-datasets-server-from-remote-images.yml\n+++ b/tools/docker-compose-datasets-server-from-remote-images.yml\n@@ -20 +20,2 @@ services:\n- TARGET_URL: http://api:8080\n+ URL_ADMIN: http://admin:8081\n+ URL_API: http://api:8080"}}},{"rowIdx":1694,"cells":{"hash":{"kind":"string","value":"fcd3c1f3a8d90987e67c746b8095ad9bbd05946b"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T19:01:23","string":"2022-07-25T19:01:23"},"subject":{"kind":"string","value":"feat: 🎸 move the admin endpoints under /admin/ (#467)"},"diff":{"kind":"string","value":"diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml\nindex e0968abe..050733c4 100644\n--- a/infra/charts/datasets-server/docker-images.yaml\n+++ b/infra/charts/datasets-server/docker-images.yaml\n@@ -3 +3 @@\n- \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-640cc19\",\n+ \"admin\": \"707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e996a30\",\ndiff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml\nindex d0d9401e..733cb17e 100644\n--- a/infra/charts/datasets-server/env/dev.yaml\n+++ b/infra/charts/datasets-server/env/dev.yaml\n@@ -16,2 +16 @@ monitoring:\n-adminDomain: \"admin-datasets-server-dev.us.dev.moon.huggingface.tech\"\n-apiDomain: \"datasets-server-dev.us.dev.moon.huggingface.tech\"\n+apiDomain: \"datasets-server.us.dev.moon.huggingface.tech\"\n@@ -22 +21 @@ ingress:\n- external-dns.alpha.kubernetes.io/hostname: \"datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech\"\n+ external-dns.alpha.kubernetes.io/hostname: \"datasets-server.us.dev.moon.huggingface.tech\"\n@@ -50 +49 @@ worker:\n- replicas: 2\n+ replicas: 1\n@@ -59 +58 @@ worker:\n- replicas: 5\n+ replicas: 1\n@@ -68 +67 @@ worker:\n- replicas: 5\n+ replicas: 1\n@@ -77 +76 @@ worker:\n- replicas: 2\n+ replicas: 1\ndiff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml\nindex 63f47fbb..564f58af 100644\n--- a/infra/charts/datasets-server/env/prod.yaml\n+++ b/infra/charts/datasets-server/env/prod.yaml\n@@ -43 +42,0 @@ monitoring:\n-adminDomain: \"admin-datasets-server.us.dev.moon.huggingface.tech\"\n@@ -48,2 +46,0 @@ ingress:\n- # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster)\n- external-dns.alpha.kubernetes.io/hostname: \"admin-datasets-server.us.dev.moon.huggingface.tech\"\ndiff --git a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml\nindex 234943ac..7f78297a 100644\n--- a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml\n+++ b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml\n@@ -11 +11 @@ spec:\n- - path: /metrics\n+ - path: /admin/metrics\ndiff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml\nindex a14eb105..27e1e1e9 100644\n--- a/infra/charts/datasets-server/templates/ingress.yaml\n+++ b/infra/charts/datasets-server/templates/ingress.yaml\n@@ -13 +13 @@ spec:\n- - host: {{ .Values.adminDomain }}\n+ - host: {{ .Values.apiDomain }}\n@@ -21,4 +21,2 @@ spec:\n- pathType: ImplementationSpecific\n- - host: {{ .Values.apiDomain }}\n- http:\n- paths:\n+ pathType: Prefix\n+ path: \"/admin/\"\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex b780fc7f..365ff2e5 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -52 +52 @@ The scripts:\n-The admin service provides technical endpoints:\n+The admin service provides technical endpoints, all under the `/admin/` path:\n@@ -54,4 +54,4 @@ The admin service provides technical endpoints:\n-- `/healthcheck`\n-- `/metrics`: gives info about the cache and the queue\n-- `/cache-reports`: give detailed reports on the content of the cache\n-- `/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started)\n+- `/admin/healthcheck`\n+- `/admin/metrics`: gives info about the cache and the queue\n+- `/admin/cache-reports`: give detailed reports on the content of the cache\n+- `/admin/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started)\ndiff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py\nindex 8e0fd500..aa98773e 100644\n--- a/services/admin/src/admin/app.py\n+++ b/services/admin/src/admin/app.py\n@@ -34,2 +34,2 @@ def create_app() -> Starlette:\n- Route(\"/healthcheck\", endpoint=healthcheck_endpoint),\n- Route(\"/metrics\", endpoint=prometheus.endpoint),\n+ Route(\"/admin/healthcheck\", endpoint=healthcheck_endpoint),\n+ Route(\"/admin/metrics\", endpoint=prometheus.endpoint),\n@@ -37 +37 @@ def create_app() -> Starlette:\n- Route(\"/cache-reports\", endpoint=cache_reports_endpoint),\n+ Route(\"/admin/cache-reports\", endpoint=cache_reports_endpoint),\n@@ -39 +39 @@ def create_app() -> Starlette:\n- Route(\"/pending-jobs\", endpoint=pending_jobs_endpoint),\n+ Route(\"/admin/pending-jobs\", endpoint=pending_jobs_endpoint),\ndiff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py\nindex 9618efdf..097f3cad 100644\n--- a/services/admin/tests/test_app.py\n+++ b/services/admin/tests/test_app.py\n@@ -32 +32 @@ def test_get_healthcheck(client: TestClient) -> None:\n- response = client.get(\"/healthcheck\")\n+ response = client.get(\"/admin/healthcheck\")\n@@ -38 +38 @@ def test_metrics(client: TestClient) -> None:\n- response = client.get(\"/metrics\")\n+ response = client.get(\"/admin/metrics\")\n@@ -53 +53 @@ def test_metrics(client: TestClient) -> None:\n- assert 'starlette_requests_total{method=\"GET\",path_template=\"/metrics\"}' in metrics\n+ assert 'starlette_requests_total{method=\"GET\",path_template=\"/admin/metrics\"}' in metrics\n@@ -57 +57 @@ def test_pending_jobs(client: TestClient) -> None:\n- response = client.get(\"/pending-jobs\")\n+ response = client.get(\"/admin/pending-jobs\")\n@@ -66 +66 @@ def test_cache_reports(client: TestClient) -> None:\n- response = client.get(\"/cache-reports\")\n+ response = client.get(\"/admin/cache-reports\")"}}},{"rowIdx":1695,"cells":{"hash":{"kind":"string","value":"cc47ea212654c69b4a37241b6f39b489ec26a790"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T15:19:16","string":"2022-07-25T15:19:16"},"subject":{"kind":"string","value":"feat: 🎸 add a script to refresh the canonical datasets (#463)"},"diff":{"kind":"string","value":"diff --git a/.github/workflows/s-admin.yaml b/.github/workflows/s-admin.yml\nsimilarity index 100%\nrename from .github/workflows/s-admin.yaml\nrename to .github/workflows/s-admin.yml\ndiff --git a/.github/workflows/s-api.yaml b/.github/workflows/s-api.yml\nsimilarity index 100%\nrename from .github/workflows/s-api.yaml\nrename to .github/workflows/s-api.yml\ndiff --git a/services/admin/Makefile b/services/admin/Makefile\nindex af45ed4a..f7f42880 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -40,0 +41,4 @@ refresh-cache:\n+.PHONY: refresh-cache-canonical\n+refresh-cache:\n+\tpoetry run python src/admin/scripts/refresh_cache_canonical.py\n+\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex 2029319c..b780fc7f 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -45,0 +46,2 @@ The scripts:\n+- `refresh-cache`: add a job for every HF dataset\n+- `refresh-cache-canonical`: add a job for every HF canonical dataset\ndiff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py\nindex e390de88..d46ca43a 100644\n--- a/services/admin/src/admin/scripts/refresh_cache.py\n+++ b/services/admin/src/admin/scripts/refresh_cache.py\n@@ -20,0 +21 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None:\n+ connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL)\n@@ -31 +31,0 @@ if __name__ == \"__main__\":\n- connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL)\ndiff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py\nnew file mode 100644\nindex 00000000..42d87761\n--- /dev/null\n+++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py\n@@ -0,0 +1,22 @@\n+import logging\n+\n+from dotenv import load_dotenv\n+from huggingface_hub import list_datasets # type: ignore\n+from libutils.logger import init_logger\n+\n+from admin.config import LOG_LEVEL\n+from admin.scripts.refresh_cache import refresh_datasets_cache\n+\n+# Load environment variables defined in .env, if any\n+load_dotenv()\n+\n+\n+def get_hf_canonical_dataset_names():\n+ return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find(\"/\") == -1]\n+\n+\n+if __name__ == \"__main__\":\n+ init_logger(LOG_LEVEL, \"refresh_cache_canonical\")\n+ logger = logging.getLogger(\"refresh_cache_canonical\")\n+ refresh_datasets_cache(get_hf_canonical_dataset_names())\n+ logger.info(\"all the canonical datasets of the Hub have been added to the queue to refresh the cache\")\ndiff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py\nnew file mode 100644\nindex 00000000..bb5bfea1\n--- /dev/null\n+++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py\n@@ -0,0 +1,9 @@\n+from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names\n+\n+\n+# get_dataset_names\n+def test_get_hf_canonical_dataset_names() -> None:\n+ dataset_names = get_hf_canonical_dataset_names()\n+ assert len(dataset_names) > 100\n+ assert \"glue\" in dataset_names\n+ assert \"Helsinki-NLP/tatoeba_mt\" not in dataset_names\ndiff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py\nindex 62d129f9..589b784f 100644\n--- a/services/admin/tests/scripts/test_warm_cache.py\n+++ b/services/admin/tests/scripts/test_warm_cache.py\n@@ -8,0 +9 @@ def test_get_hf_dataset_names() -> None:\n+ assert \"Helsinki-NLP/tatoeba_mt\" in dataset_names"}}},{"rowIdx":1696,"cells":{"hash":{"kind":"string","value":"f74f4397007babacb13060e925cbea987e6d78b1"},"authorName":{"kind":"string","value":"Test User"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T15:08:56","string":"2022-07-25T15:08:56"},"subject":{"kind":"string","value":"Revert \"feat: 🎸 add a script to refresh the canonical datasets\""},"diff":{"kind":"string","value":"diff --git a/services/admin/Makefile b/services/admin/Makefile\nindex f7f42880..af45ed4a 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -41,4 +40,0 @@ refresh-cache:\n-.PHONY: refresh-cache-canonical\n-refresh-cache:\n-\tpoetry run python src/admin/scripts/refresh_cache_canonical.py\n-\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex b780fc7f..2029319c 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -46,2 +45,0 @@ The scripts:\n-- `refresh-cache`: add a job for every HF dataset\n-- `refresh-cache-canonical`: add a job for every HF canonical dataset\ndiff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py\nindex d46ca43a..e390de88 100644\n--- a/services/admin/src/admin/scripts/refresh_cache.py\n+++ b/services/admin/src/admin/scripts/refresh_cache.py\n@@ -21 +20,0 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None:\n- connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL)\n@@ -31,0 +31 @@ if __name__ == \"__main__\":\n+ connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL)\ndiff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py\ndeleted file mode 100644\nindex 42d87761..00000000\n--- a/services/admin/src/admin/scripts/refresh_cache_canonical.py\n+++ /dev/null\n@@ -1,22 +0,0 @@\n-import logging\n-\n-from dotenv import load_dotenv\n-from huggingface_hub import list_datasets # type: ignore\n-from libutils.logger import init_logger\n-\n-from admin.config import LOG_LEVEL\n-from admin.scripts.refresh_cache import refresh_datasets_cache\n-\n-# Load environment variables defined in .env, if any\n-load_dotenv()\n-\n-\n-def get_hf_canonical_dataset_names():\n- return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find(\"/\") == -1]\n-\n-\n-if __name__ == \"__main__\":\n- init_logger(LOG_LEVEL, \"refresh_cache_canonical\")\n- logger = logging.getLogger(\"refresh_cache_canonical\")\n- refresh_datasets_cache(get_hf_canonical_dataset_names())\n- logger.info(\"all the canonical datasets of the Hub have been added to the queue to refresh the cache\")\ndiff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py\ndeleted file mode 100644\nindex bb5bfea1..00000000\n--- a/services/admin/tests/scripts/test_refresh_cache_canonical.py\n+++ /dev/null\n@@ -1,9 +0,0 @@\n-from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names\n-\n-\n-# get_dataset_names\n-def test_get_hf_canonical_dataset_names() -> None:\n- dataset_names = get_hf_canonical_dataset_names()\n- assert len(dataset_names) > 100\n- assert \"glue\" in dataset_names\n- assert \"Helsinki-NLP/tatoeba_mt\" not in dataset_names\ndiff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py\nindex 589b784f..62d129f9 100644\n--- a/services/admin/tests/scripts/test_warm_cache.py\n+++ b/services/admin/tests/scripts/test_warm_cache.py\n@@ -9 +8,0 @@ def test_get_hf_dataset_names() -> None:\n- assert \"Helsinki-NLP/tatoeba_mt\" in dataset_names"}}},{"rowIdx":1697,"cells":{"hash":{"kind":"string","value":"67b69940c501a7301599a9ca85fcd9cca76699fe"},"authorName":{"kind":"string","value":"Test User"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-25T15:07:14","string":"2022-07-25T15:07:14"},"subject":{"kind":"string","value":"feat: 🎸 add a script to refresh the canonical datasets"},"diff":{"kind":"string","value":"diff --git a/services/admin/Makefile b/services/admin/Makefile\nindex af45ed4a..f7f42880 100644\n--- a/services/admin/Makefile\n+++ b/services/admin/Makefile\n@@ -40,0 +41,4 @@ refresh-cache:\n+.PHONY: refresh-cache-canonical\n+refresh-cache:\n+\tpoetry run python src/admin/scripts/refresh_cache_canonical.py\n+\ndiff --git a/services/admin/README.md b/services/admin/README.md\nindex 2029319c..b780fc7f 100644\n--- a/services/admin/README.md\n+++ b/services/admin/README.md\n@@ -45,0 +46,2 @@ The scripts:\n+- `refresh-cache`: add a job for every HF dataset\n+- `refresh-cache-canonical`: add a job for every HF canonical dataset\ndiff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py\nindex e390de88..d46ca43a 100644\n--- a/services/admin/src/admin/scripts/refresh_cache.py\n+++ b/services/admin/src/admin/scripts/refresh_cache.py\n@@ -20,0 +21 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None:\n+ connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL)\n@@ -31 +31,0 @@ if __name__ == \"__main__\":\n- connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL)\ndiff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py\nnew file mode 100644\nindex 00000000..42d87761\n--- /dev/null\n+++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py\n@@ -0,0 +1,22 @@\n+import logging\n+\n+from dotenv import load_dotenv\n+from huggingface_hub import list_datasets # type: ignore\n+from libutils.logger import init_logger\n+\n+from admin.config import LOG_LEVEL\n+from admin.scripts.refresh_cache import refresh_datasets_cache\n+\n+# Load environment variables defined in .env, if any\n+load_dotenv()\n+\n+\n+def get_hf_canonical_dataset_names():\n+ return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find(\"/\") == -1]\n+\n+\n+if __name__ == \"__main__\":\n+ init_logger(LOG_LEVEL, \"refresh_cache_canonical\")\n+ logger = logging.getLogger(\"refresh_cache_canonical\")\n+ refresh_datasets_cache(get_hf_canonical_dataset_names())\n+ logger.info(\"all the canonical datasets of the Hub have been added to the queue to refresh the cache\")\ndiff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py\nnew file mode 100644\nindex 00000000..bb5bfea1\n--- /dev/null\n+++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py\n@@ -0,0 +1,9 @@\n+from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names\n+\n+\n+# get_dataset_names\n+def test_get_hf_canonical_dataset_names() -> None:\n+ dataset_names = get_hf_canonical_dataset_names()\n+ assert len(dataset_names) > 100\n+ assert \"glue\" in dataset_names\n+ assert \"Helsinki-NLP/tatoeba_mt\" not in dataset_names\ndiff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py\nindex 62d129f9..589b784f 100644\n--- a/services/admin/tests/scripts/test_warm_cache.py\n+++ b/services/admin/tests/scripts/test_warm_cache.py\n@@ -8,0 +9 @@ def test_get_hf_dataset_names() -> None:\n+ assert \"Helsinki-NLP/tatoeba_mt\" in dataset_names"}}},{"rowIdx":1698,"cells":{"hash":{"kind":"string","value":"67e1674381a9f0cc1a960a886e1d5d9ce8b7b378"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-22T21:30:39","string":"2022-07-22T21:30:39"},"subject":{"kind":"string","value":"refactor: 💡 move ingress to the root in values (#462)"},"diff":{"kind":"string","value":"diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml\nindex 4bb672bf..d0d9401e 100644\n--- a/infra/charts/datasets-server/env/dev.yaml\n+++ b/infra/charts/datasets-server/env/dev.yaml\n@@ -18,0 +19,11 @@ apiDomain: \"datasets-server-dev.us.dev.moon.huggingface.tech\"\n+ingress:\n+ annotations:\n+ # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster)\n+ external-dns.alpha.kubernetes.io/hostname: \"datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech\"\n+ alb.ingress.kubernetes.io/healthcheck-path: \"/healthcheck\"\n+ alb.ingress.kubernetes.io/listen-ports: '[{\"HTTP\": 80, \"HTTPS\": 443}]'\n+ alb.ingress.kubernetes.io/load-balancer-name: \"hub-datasets-server-dev\"\n+ alb.ingress.kubernetes.io/scheme: \"internet-facing\"\n+ alb.ingress.kubernetes.io/tags: \"Env=dev,Project=datasets-server,Terraform=true\"\n+ kubernetes.io/ingress.class: \"alb\"\n+\n@@ -22,11 +32,0 @@ reverseProxy:\n- ingress:\n- annotations:\n- # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster)\n- external-dns.alpha.kubernetes.io/hostname: \"datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech\"\n- alb.ingress.kubernetes.io/healthcheck-path: \"/healthcheck\"\n- alb.ingress.kubernetes.io/listen-ports: '[{\"HTTP\": 80, \"HTTPS\": 443}]'\n- alb.ingress.kubernetes.io/load-balancer-name: \"hub-datasets-server-dev\"\n- alb.ingress.kubernetes.io/scheme: \"internet-facing\"\n- alb.ingress.kubernetes.io/tags: \"Env=dev,Project=datasets-server,Terraform=true\"\n- kubernetes.io/ingress.class: \"alb\"\n-\ndiff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml\nindex d11a4181..63f47fbb 100644\n--- a/infra/charts/datasets-server/env/prod.yaml\n+++ b/infra/charts/datasets-server/env/prod.yaml\n@@ -45,0 +46,13 @@ apiDomain: \"datasets-server.huggingface.co\"\n+ingress:\n+ annotations:\n+ # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster)\n+ external-dns.alpha.kubernetes.io/hostname: \"admin-datasets-server.us.dev.moon.huggingface.tech\"\n+ alb.ingress.kubernetes.io/certificate-arn: arn:aws:acm:us-east-1:707930574880:certificate/777e3ae5-0c54-47ee-9b8c-d85eeb6ec4ae\n+ alb.ingress.kubernetes.io/healthcheck-path: \"/healthcheck\"\n+ alb.ingress.kubernetes.io/listen-ports: '[{\"HTTP\": 80, \"HTTPS\": 443}]'\n+ alb.ingress.kubernetes.io/load-balancer-name: \"hub-datasets-server-prod\"\n+ alb.ingress.kubernetes.io/scheme: \"internet-facing\"\n+ alb.ingress.kubernetes.io/tags: \"Env=prod,Project=datasets-server,Terraform=true\"\n+ alb.ingress.kubernetes.io/target-node-labels: role-datasets-server=true\n+ kubernetes.io/ingress.class: \"alb\"\n+\n@@ -49,13 +61,0 @@ reverseProxy:\n- ingress:\n- annotations:\n- # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster)\n- external-dns.alpha.kubernetes.io/hostname: \"admin-datasets-server.us.dev.moon.huggingface.tech\"\n- alb.ingress.kubernetes.io/certificate-arn: arn:aws:acm:us-east-1:707930574880:certificate/777e3ae5-0c54-47ee-9b8c-d85eeb6ec4ae\n- alb.ingress.kubernetes.io/healthcheck-path: \"/healthcheck\"\n- alb.ingress.kubernetes.io/listen-ports: '[{\"HTTP\": 80, \"HTTPS\": 443}]'\n- alb.ingress.kubernetes.io/load-balancer-name: \"hub-datasets-server-prod\"\n- alb.ingress.kubernetes.io/scheme: \"internet-facing\"\n- alb.ingress.kubernetes.io/tags: \"Env=prod,Project=datasets-server,Terraform=true\"\n- alb.ingress.kubernetes.io/target-node-labels: role-datasets-server=true\n- kubernetes.io/ingress.class: \"alb\"\n-\ndiff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml\nindex e6f59a6f..a14eb105 100644\n--- a/infra/charts/datasets-server/templates/ingress.yaml\n+++ b/infra/charts/datasets-server/templates/ingress.yaml\n@@ -6 +6 @@ metadata:\n- {{ toYaml .Values.reverseProxy.ingress.annotations | nindent 4 }}\n+ {{ toYaml .Values.ingress.annotations | nindent 4 }}\ndiff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml\nindex cb1feaa2..c785a32d 100644\n--- a/infra/charts/datasets-server/values.yaml\n+++ b/infra/charts/datasets-server/values.yaml\n@@ -36,0 +37,4 @@ gid: 3000\n+\n+ingress:\n+ annotations: {}\n+\n@@ -44,3 +47,0 @@ reverseProxy:\n- ingress:\n- annotations: {}\n-\n@@ -75,3 +75,0 @@ api:\n- ingress:\n- annotations: {}\n-\n@@ -282,3 +279,0 @@ admin:\n- ingress:\n- annotations: {}\n-"}}},{"rowIdx":1699,"cells":{"hash":{"kind":"string","value":"b330f4323693aab005db53be422f3a9f262ada84"},"authorName":{"kind":"string","value":"Sylvain Lesage"},"authorEmail":{"kind":"string","value":"sylvain.lesage@huggingface.co"},"date":{"kind":"timestamp","value":"2022-07-22T21:26:17","string":"2022-07-22T21:26:17"},"subject":{"kind":"string","value":"fix: 🐛 fix domains (we had to ask for them to Route53) (#461)"},"diff":{"kind":"string","value":"diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml\nindex 0a607328..4bb672bf 100644\n--- a/infra/charts/datasets-server/env/dev.yaml\n+++ b/infra/charts/datasets-server/env/dev.yaml\n@@ -25 +25 @@ reverseProxy:\n- external-dns.alpha.kubernetes.io/hostname: \"datasets-server.us.dev.moon.huggingface.tech\"\n+ external-dns.alpha.kubernetes.io/hostname: \"datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech\"\ndiff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml\nindex 19e440be..d11a4181 100644\n--- a/infra/charts/datasets-server/env/prod.yaml\n+++ b/infra/charts/datasets-server/env/prod.yaml\n@@ -50,0 +51,2 @@ reverseProxy:\n+ # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster)\n+ external-dns.alpha.kubernetes.io/hostname: 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2b614249cd96d904c0923c5a792cc5a45f144e42
Sylvain Lesage
2022-10-17T15:43:43
feat: 🎸 fix vulnerabilities by upgrading tensorflow (#610)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 8e1899ed..6b322ed7 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +7,2 @@ - "splits": "huggingface/datasets-server-workers-splits:sha-bb202a6", - "firstRows": "huggingface/datasets-server-workers-first_rows:sha-bb202a6" + "splits": "huggingface/datasets-server-workers-splits:sha-e9ce81d", + "firstRows": "huggingface/datasets-server-workers-first_rows:sha-e9ce81d" diff --git a/workers/first_rows/poetry.lock b/workers/first_rows/poetry.lock index f5be04d1..626dcc30 100644 --- a/workers/first_rows/poetry.lock +++ b/workers/first_rows/poetry.lock @@ -376 +376 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[s3,server] (==2.0.4)", "py7zr", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "zstandard", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "sqlalchemy", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[server,s3] (==2.0.4)", "py7zr", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "zstandard", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "sqlalchemy", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] @@ -382 +382 @@ tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[s3,server] (==2.0.4)", "py7zr", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "zstandard", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "sqlalchemy", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[server,s3] (==2.0.4)", "py7zr", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "zstandard", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "sqlalchemy", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa"] @@ -490 +490 @@ name = "flatbuffers" -version = "1.12" +version = "22.9.24" @@ -789 +789 @@ name = "keras" -version = "2.9.0" +version = "2.10.0" @@ -1287 +1287 @@ name = "protobuf" -version = "3.20.3" +version = "3.19.6" @@ -1291 +1291 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.5" @@ -1819 +1819 @@ name = "tensorboard" -version = "2.9.0" +version = "2.10.1" @@ -1832 +1832 @@ numpy = ">=1.12.0" -protobuf = ">=3.9.2" +protobuf = ">=3.9.2,<3.20" @@ -1856 +1856 @@ name = "tensorflow" -version = "2.9.0" +version = "2.10.0" @@ -1865 +1865 @@ astunparse = ">=1.6.0" -flatbuffers = ">=1.12,<2" +flatbuffers = ">=2.0" @@ -1870 +1870 @@ h5py = ">=2.9.0" -keras = ">=2.9.0rc0,<2.10.0" +keras = ">=2.10.0,<2.11" @@ -1876 +1876 @@ packaging = "*" -protobuf = ">=3.9.2" +protobuf = ">=3.9.2,<3.20" @@ -1878,2 +1878,2 @@ six = ">=1.12.0" -tensorboard = ">=2.9,<2.10" -tensorflow-estimator = ">=2.9.0rc0,<2.10.0" +tensorboard = ">=2.10,<2.11" +tensorflow-estimator = ">=2.10.0,<2.11" @@ -1887 +1887 @@ name = "tensorflow-estimator" -version = "2.9.0" +version = "2.10.0" @@ -1910 +1910 @@ name = "tensorflow-macos" -version = "2.9.0" +version = "2.10.0" @@ -1919 +1919 @@ astunparse = ">=1.6.0" -flatbuffers = ">=1.12,<2" +flatbuffers = ">=2.0" @@ -1924 +1924 @@ h5py = ">=2.9.0" -keras = ">=2.9.0rc0,<2.10.0" +keras = ">=2.10.0,<2.11" @@ -1930 +1930 @@ packaging = "*" -protobuf = ">=3.9.2" +protobuf = ">=3.9.2,<3.20" @@ -1932,2 +1932,2 @@ six = ">=1.12.0" -tensorboard = ">=2.9,<2.10" -tensorflow-estimator = ">=2.9.0rc0,<2.10.0" +tensorboard = ">=2.10,<2.11" +tensorflow-estimator = ">=2.10.0,<2.11" @@ -2284 +2284 @@ python-versions = "3.9.6" -content-hash = "e5fb7d6131e4789aa5aab1542846924f24c179b33e24404bdfd36c657908e7de" +content-hash = "79cc470566eb3d8ef81f1f1239de17211b4b2f139951122bb90c9c574cfef35d" @@ -2543,4 +2543 @@ flake8 = [ -flatbuffers = [ - {file = "flatbuffers-1.12-py2.py3-none-any.whl", hash = "sha256:9e9ef47fa92625c4721036e7c4124182668dc6021d9e7c73704edd395648deb9"}, - {file = "flatbuffers-1.12.tar.gz", hash = "sha256:63bb9a722d5e373701913e226135b28a6f6ac200d5cc7b4d919fa38d73b44610"}, -] +flatbuffers = [] @@ -2611,3 +2608 @@ kenlm = [] -keras = [ - {file = "keras-2.9.0-py2.py3-none-any.whl", hash = "sha256:55911256f89cfc9343c9fbe4b61ec45a2d33d89729cbe1ab9dcacf8b07b8b6ab"}, -] +keras = [] @@ -3136,3 +3131 @@ tensorflow = [] -tensorflow-estimator = [ - {file = "tensorflow_estimator-2.9.0-py2.py3-none-any.whl", hash = "sha256:e9762bb302f51bc1eb2f35d19f0190a6a2d809d754d5def788c4328fe3746744"}, -] +tensorflow-estimator = [] diff --git a/workers/first_rows/pyproject.toml b/workers/first_rows/pyproject.toml index 017c5c72..fd856f33 100644 --- a/workers/first_rows/pyproject.toml +++ b/workers/first_rows/pyproject.toml @@ -33,2 +33,2 @@ sklearn = "^0.0" -tensorflow = {version = "^2.9.0", platform = "linux || win32"} -tensorflow-macos = {version = "^2.9.0", platform = "darwin"} +tensorflow = {version = "^2.9.1", platform = "linux || win32"} +tensorflow-macos = {version = "^2.9.1", platform = "darwin"} diff --git a/workers/splits/poetry.lock b/workers/splits/poetry.lock index 69b86262..1d27e81f 100644 --- a/workers/splits/poetry.lock +++ b/workers/splits/poetry.lock @@ -490 +490 @@ name = "flatbuffers" -version = "1.12" +version = "22.9.24" @@ -789 +789 @@ name = "keras" -version = "2.9.0" +version = "2.10.0" @@ -1287 +1287 @@ name = "protobuf" -version = "3.20.3" +version = "3.19.6" @@ -1291 +1291 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.5" @@ -1819 +1819 @@ name = "tensorboard" -version = "2.9.0" +version = "2.10.1" @@ -1832 +1832 @@ numpy = ">=1.12.0" -protobuf = ">=3.9.2" +protobuf = ">=3.9.2,<3.20" @@ -1856 +1856 @@ name = "tensorflow" -version = "2.9.0" +version = "2.10.0" @@ -1865 +1865 @@ astunparse = ">=1.6.0" -flatbuffers = ">=1.12,<2" +flatbuffers = ">=2.0" @@ -1870 +1870 @@ h5py = ">=2.9.0" -keras = ">=2.9.0rc0,<2.10.0" +keras = ">=2.10.0,<2.11" @@ -1876 +1876 @@ packaging = "*" -protobuf = ">=3.9.2" +protobuf = ">=3.9.2,<3.20" @@ -1878,2 +1878,2 @@ six = ">=1.12.0" -tensorboard = ">=2.9,<2.10" -tensorflow-estimator = ">=2.9.0rc0,<2.10.0" +tensorboard = ">=2.10,<2.11" +tensorflow-estimator = ">=2.10.0,<2.11" @@ -1887 +1887 @@ name = "tensorflow-estimator" -version = "2.9.0" +version = "2.10.0" @@ -1910 +1910 @@ name = "tensorflow-macos" -version = "2.9.0" +version = "2.10.0" @@ -1919 +1919 @@ astunparse = ">=1.6.0" -flatbuffers = ">=1.12,<2" +flatbuffers = ">=2.0" @@ -1924 +1924 @@ h5py = ">=2.9.0" -keras = ">=2.9.0rc0,<2.10.0" +keras = ">=2.10.0,<2.11" @@ -1930 +1930 @@ packaging = "*" -protobuf = ">=3.9.2" +protobuf = ">=3.9.2,<3.20" @@ -1932,2 +1932,2 @@ six = ">=1.12.0" -tensorboard = ">=2.9,<2.10" -tensorflow-estimator = ">=2.9.0rc0,<2.10.0" +tensorboard = ">=2.10,<2.11" +tensorflow-estimator = ">=2.10.0,<2.11" @@ -2284 +2284 @@ python-versions = "3.9.6" -content-hash = "e5fb7d6131e4789aa5aab1542846924f24c179b33e24404bdfd36c657908e7de" +content-hash = "79cc470566eb3d8ef81f1f1239de17211b4b2f139951122bb90c9c574cfef35d" @@ -2546,4 +2546 @@ flake8 = [ -flatbuffers = [ - {file = "flatbuffers-1.12-py2.py3-none-any.whl", hash = "sha256:9e9ef47fa92625c4721036e7c4124182668dc6021d9e7c73704edd395648deb9"}, - {file = "flatbuffers-1.12.tar.gz", hash = "sha256:63bb9a722d5e373701913e226135b28a6f6ac200d5cc7b4d919fa38d73b44610"}, -] +flatbuffers = [] @@ -2614,3 +2611 @@ kenlm = [] -keras = [ - {file = "keras-2.9.0-py2.py3-none-any.whl", hash = "sha256:55911256f89cfc9343c9fbe4b61ec45a2d33d89729cbe1ab9dcacf8b07b8b6ab"}, -] +keras = [] @@ -3139,3 +3134 @@ tensorflow = [] -tensorflow-estimator = [ - {file = "tensorflow_estimator-2.9.0-py2.py3-none-any.whl", hash = "sha256:e9762bb302f51bc1eb2f35d19f0190a6a2d809d754d5def788c4328fe3746744"}, -] +tensorflow-estimator = [] diff --git a/workers/splits/pyproject.toml b/workers/splits/pyproject.toml index 03469072..7edc2462 100644 --- a/workers/splits/pyproject.toml +++ b/workers/splits/pyproject.toml @@ -33,2 +33,2 @@ sklearn = "^0.0" -tensorflow = {version = "^2.9.0", platform = "linux || win32"} -tensorflow-macos = {version = "^2.9.0", platform = "darwin"} +tensorflow = {version = "^2.9.1", platform = "linux || win32"} +tensorflow-macos = {version = "^2.9.1", platform = "darwin"}
7f69df04c52cf0a5e0baf2c2fa7e94d29c057aa1
Sylvain Lesage
2022-10-17T15:04:07
feat: 🎸 make the queue agnostic to the types of jobs (#608)
diff --git a/.github/workflows/_build_push_docker_hub.yml b/.github/workflows/_build_push_docker_hub.yml index 0628a5f1..4ead5ecb 100644 --- a/.github/workflows/_build_push_docker_hub.yml +++ b/.github/workflows/_build_push_docker_hub.yml @@ -8 +8,4 @@ on: - service: + directory: + required: true + type: string + project: @@ -38 +41 @@ jobs: - images: ${{ env.repository-prefix }}${{ inputs.service }} + images: ${{ env.repository-prefix }}${{ inputs.directory }}-${{ inputs.project }} @@ -45 +48 @@ jobs: - file: services/${{ inputs.service }}/Dockerfile + file: ${{ inputs.directory }}/${{ inputs.project }}/Dockerfile @@ -51,2 +54,2 @@ jobs: - cache-from: type=registry,ref=${{ env.repository-prefix }}${{ inputs.service }}:buildcache - cache-to: type=registry,ref=${{ env.repository-prefix }}${{ inputs.service }}:buildcache,mode=max + cache-from: type=registry,ref=${{ env.repository-prefix }}${{ inputs.directory }}-${{ inputs.project }}:buildcache + cache-to: type=registry,ref=${{ env.repository-prefix }}${{ inputs.directory }}-${{ inputs.project }}:buildcache,mode=max diff --git a/.github/workflows/_quality-python.yml b/.github/workflows/_quality-python.yml index 512cd69d..5ddaa915 100644 --- a/.github/workflows/_quality-python.yml +++ b/.github/workflows/_quality-python.yml @@ -14 +14 @@ on: - is-worker: + is-datasets-worker: @@ -40,3 +40,3 @@ jobs: - - name: Install packages for worker - if: ${{ inputs.is-worker }} - run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm + - name: Install packages for workers that use datasets + if: ${{ inputs.is-datasets-worker }} + run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm pkg-config diff --git a/.github/workflows/_unit-tests-python.yml b/.github/workflows/_unit-tests-python.yml index 0291bb38..08d59a00 100644 --- a/.github/workflows/_unit-tests-python.yml +++ b/.github/workflows/_unit-tests-python.yml @@ -11 +11 @@ on: - is-worker: + is-datasets-worker: @@ -41,18 +41,3 @@ jobs: - - name: Install packages - if: ${{ inputs.is-worker }} - run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra llvm - - name: Install libsndfile - if: ${{ inputs.is-worker }} - run: > - sudo apt install -y autoconf autogen automake build-essential libasound2-dev libflac-dev libogg-dev libtool libvorbis-dev libopus-dev libmp3lame-dev libmpg123-dev pkg-config; - cd /tmp; - git clone https://github.com/libsndfile/libsndfile.git; - cd libsndfile; - git checkout v1.0.30; - ./autogen.sh; - ./configure --enable-werror; - make; - sudo make install; - sudo ldconfig; - cd; - rm -rf /tmp/libsndfile; + - name: Install packages for workers that use datasets + if: ${{ inputs.is-datasets-worker }} + run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm pkg-config diff --git a/.github/workflows/s-admin-build-docker.yml b/.github/workflows/s-admin-build-docker.yml index f6679aa6..9bbff4ad 100644 --- a/.github/workflows/s-admin-build-docker.yml +++ b/.github/workflows/s-admin-build-docker.yml @@ -19 +19,2 @@ jobs: - service: admin + directory: services + project: admin diff --git a/.github/workflows/s-api-build-docker.yml b/.github/workflows/s-api-build-docker.yml index a47c7700..087faea1 100644 --- a/.github/workflows/s-api-build-docker.yml +++ b/.github/workflows/s-api-build-docker.yml @@ -19 +19,2 @@ jobs: - service: api + directory: services + project: api diff --git a/.github/workflows/w-first_rows-build-docker.yml b/.github/workflows/w-first_rows-build-docker.yml new file mode 100644 index 00000000..07b53c18 --- /dev/null +++ b/.github/workflows/w-first_rows-build-docker.yml @@ -0,0 +1,23 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +name: workers/first_rows +on: + workflow_dispatch: + push: + paths: + - 'workers/first_rows/Dockerfile' + - 'workers/first_rows/src/**' + - 'workers/first_rows/poetry.lock' + - 'workers/first_rows/pyproject.toml' + - '.github/workflows/w-workers/first_rows-build-docker.yml' + - '.github/workflows/_build_push_docker_hub.yml' +jobs: + docker: + uses: ./.github/workflows/_build_push_docker_hub.yml + with: + directory: workers + project: first_rows + secrets: + dockerhub-username: ${{ secrets.DOCKERHUB_USERNAME }} + dockerhub-password: ${{ secrets.DOCKERHUB_PASSWORD }} diff --git a/.github/workflows/w-first_rows.yml b/.github/workflows/w-first_rows.yml new file mode 100644 index 00000000..dc735a49 --- /dev/null +++ b/.github/workflows/w-first_rows.yml @@ -0,0 +1,29 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +name: workers/first_rows +on: + workflow_dispatch: + push: + paths: + - 'workers/first_rows/**' + - '.github/workflows/w-first_rows.yml' + - '.github/workflows/_quality-python.yml' + - '.github/workflows/_unit-tests-python.yml' + - 'tools/Python.mk' + - 'tools/docker-compose-mongo.yml' + - 'vendors/' +jobs: + quality: + uses: ./.github/workflows/_quality-python.yml + with: + working-directory: workers/first_rows + safety-exceptions: "" + is-datasets-worker: true + unit-tests: + uses: ./.github/workflows/_unit-tests-python.yml + with: + working-directory: workers/first_rows + is-datasets-worker: true + secrets: + codecov-token: ${{ secrets.CODECOV_TOKEN }} diff --git a/.github/workflows/s-worker-build-docker.yml b/.github/workflows/w-splits-build-docker.yml similarity index 59% rename from .github/workflows/s-worker-build-docker.yml rename to .github/workflows/w-splits-build-docker.yml index 7228ce8c..68e091f9 100644 --- a/.github/workflows/s-worker-build-docker.yml +++ b/.github/workflows/w-splits-build-docker.yml @@ -4 +4 @@ -name: services/worker +name: workers/splits @@ -9,5 +9,5 @@ on: - - 'services/worker/Dockerfile' - - 'services/worker/src/**' - - 'services/worker/poetry.lock' - - 'services/worker/pyproject.toml' - - '.github/workflows/s-worker-build-docker.yml' + - 'workers/splits/Dockerfile' + - 'workers/splits/src/**' + - 'workers/splits/poetry.lock' + - 'workers/splits/pyproject.toml' + - '.github/workflows/w-workers/splits-build-docker.yml' @@ -19 +19,2 @@ jobs: - service: worker + directory: workers + project: splits diff --git a/.github/workflows/s-worker.yml b/.github/workflows/w-splits.yml similarity index 70% rename from .github/workflows/s-worker.yml rename to .github/workflows/w-splits.yml index 50ca16dc..83a10c37 100644 --- a/.github/workflows/s-worker.yml +++ b/.github/workflows/w-splits.yml @@ -4 +4 @@ -name: services/worker +name: workers/splits @@ -9,2 +9,2 @@ on: - - 'services/worker/**' - - '.github/workflows/s-worker.yml' + - 'workers/splits/**' + - '.github/workflows/w-splits.yml' @@ -20 +20 @@ jobs: - working-directory: services/worker + working-directory: workers/splits @@ -22 +22 @@ jobs: - is-worker: true + is-datasets-worker: true @@ -26,2 +26,2 @@ jobs: - working-directory: services/worker - is-worker: true + working-directory: workers/splits + is-datasets-worker: true diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace index a1e2f2a1..9b174f8e 100644 --- a/.vscode/monorepo.code-workspace +++ b/.vscode/monorepo.code-workspace @@ -36,2 +36,6 @@ - "name": "services/worker", - "path": "../services/worker" + "name": "workers/splits", + "path": "../workers/splits" + }, + { + "name": "workers/first_rows", + "path": "../workers/first_rows" @@ -44 +48,2 @@ - "services": true + "services": true, + "workers": true diff --git a/Makefile b/Makefile index 3ee26da8..c0c243fc 100644 --- a/Makefile +++ b/Makefile @@ -24 +23,0 @@ install: - $(MAKE) -C services/worker/ install @@ -29,0 +29,2 @@ install: + $(MAKE) -C workers/first_rows install + $(MAKE) -C workers/splits install @@ -52 +52,0 @@ test: - $(MAKE) -C services/worker/ test @@ -56,0 +57,2 @@ test: + $(MAKE) -C workers/first_rows test + $(MAKE) -C workers/splits test @@ -61 +62,0 @@ coverage: - $(MAKE) -C services/worker/ coverage @@ -65,0 +67,2 @@ coverage: + $(MAKE) -C workers/first_rows coverage + $(MAKE) -C workers/splits coverage @@ -73 +75,0 @@ quality: - $(MAKE) -C services/worker/ quality @@ -78,0 +81,2 @@ quality: + $(MAKE) -C workers/first_rows quality + $(MAKE) -C workers/splits quality @@ -84 +87,0 @@ style: - $(MAKE) -C services/worker/ style @@ -89,0 +93,2 @@ style: + $(MAKE) -C workers/first_rows style + $(MAKE) -C workers/splits style diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index ed3bb08e..8e1899ed 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "huggingface/datasets-server-admin:sha-7210df0", - "api": "huggingface/datasets-server-api:sha-8b5b0f9", + "admin": "huggingface/datasets-server-services-admin:sha-db1a233", + "api": "huggingface/datasets-server-services-api:sha-db1a233", @@ -7,2 +7,2 @@ - "splits": "huggingface/datasets-server-worker:sha-06c9c4b", - "firstRows": "huggingface/datasets-server-worker:sha-06c9c4b" + "splits": "huggingface/datasets-server-workers-splits:sha-bb202a6", + "firstRows": "huggingface/datasets-server-workers-first_rows:sha-bb202a6" diff --git a/chart/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl index e12820ac..24bb26f7 100644 --- a/chart/templates/worker/first-rows/_container.tpl +++ b/chart/templates/worker/first-rows/_container.tpl @@ -32,2 +31,0 @@ - - name: MAX_JOB_RETRIES - value: {{ .Values.worker.firstRows.maxJobRetries | quote }} @@ -68,3 +65,0 @@ - - name: WORKER_QUEUE - # Job queue the worker will pull jobs from: 'splits_responses' or 'first_rows_responses' - value: "first_rows_responses" diff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl index 6f7ca5d3..a9f31f98 100644 --- a/chart/templates/worker/splits/_container.tpl +++ b/chart/templates/worker/splits/_container.tpl @@ -7,4 +6,0 @@ - - name: ASSETS_BASE_URL - value: "{{ include "assets.baseUrl" . }}" - - name: ASSETS_DIRECTORY - value: {{ .Values.worker.splits.assetsDirectory | quote }} @@ -31,2 +26,0 @@ - - name: MAX_JOB_RETRIES - value: {{ .Values.worker.splits.maxJobRetries | quote }} @@ -39,4 +32,0 @@ - - name: MAX_SIZE_FALLBACK - value: {{ .Values.worker.splits.maxSizeFallback | quote }} - - name: MIN_CELL_BYTES - value: {{ .Values.worker.splits.minCellBytes | quote }} @@ -59,6 +48,0 @@ - - name: ROWS_MAX_BYTES - value: {{ .Values.worker.splits.rowsMaxBytes | quote }} - - name: ROWS_MAX_NUMBER - value: {{ .Values.worker.splits.rowsMaxNumber | quote }} - - name: ROWS_MIN_NUMBER - value: {{ .Values.worker.splits.rowsMinNumber| quote }} @@ -67,3 +50,0 @@ - - name: WORKER_QUEUE - # Job queue the worker will pull jobs from: 'splits_responses' or 'first_rows_responses' - value: "splits_responses" @@ -73,5 +53,0 @@ - - mountPath: {{ .Values.worker.splits.assetsDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "assets.subpath" . }}" - readOnly: false diff --git a/chart/templates/worker/splits/deployment.yaml b/chart/templates/worker/splits/deployment.yaml index fe3a8c6a..f4ab5c0b 100644 --- a/chart/templates/worker/splits/deployment.yaml +++ b/chart/templates/worker/splits/deployment.yaml @@ -26 +25,0 @@ spec: - {{ include "initContainerAssets" . | nindent 8 }} diff --git a/chart/values.yaml b/chart/values.yaml index 31aba488..3a3f9255 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -117,2 +116,0 @@ worker: - # Directory of assets (audio files and images that will be served for the web) - assetsDirectory: "/assets" @@ -125,2 +122,0 @@ worker: - # Max number of job retries (for 500 errors) for the same job - maxJobRetries: 3 @@ -133,4 +128,0 @@ worker: - # Max size (in bytes) of the dataset to fallback in normal mode if streaming fails - maxSizeFallback: "100_000_000" - # Min size of a cell in the /first-rows endpoint response in bytes - minCellBytes: 100 @@ -139,6 +130,0 @@ worker: - # Max size of the /first-rows endpoint response in bytes - rowMaxBytes: "1_000_000" - # Max number of rows in the /first-rows endpoint response - rowsMaxNumber: 100 - # Min number of rows in the /first-rows endpoint response - rowsMinNumber: 10 @@ -169,2 +154,0 @@ worker: - # Max number of job retries (for 500 errors) for the same job - maxJobRetries: 3 diff --git a/e2e/tests/fixtures/hub.py b/e2e/tests/fixtures/hub.py index 23e23fc4..7f560407 100644 --- a/e2e/tests/fixtures/hub.py +++ b/e2e/tests/fixtures/hub.py @@ -16 +15,0 @@ from huggingface_hub.hf_api import ( # type: ignore - HfFolder, @@ -103,10 +101,0 @@ def update_repo_settings( [email protected] -def set_ci_hub_access_token() -> Iterable[None]: - _api = HfApi(endpoint=CI_HUB_ENDPOINT) - _api.set_access_token(CI_HUB_USER_API_TOKEN) - HfFolder.save_token(CI_HUB_USER_API_TOKEN) - yield - HfFolder.delete_token() - _api.unset_access_token() - - @@ -119,6 +108,2 @@ def hf_api(): -def hf_token(hf_api: HfApi) -> Iterable[str]: - hf_api.set_access_token(CI_HUB_USER_API_TOKEN) - HfFolder.save_token(CI_HUB_USER_API_TOKEN) - yield CI_HUB_USER_API_TOKEN - with suppress(requests.exceptions.HTTPError): - hf_api.unset_access_token() +def hf_token() -> str: + return CI_HUB_USER_API_TOKEN diff --git a/libs/libqueue/dist/libqueue-0.3.0-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.3.0-py3-none-any.whl new file mode 100644 index 00000000..fac72ba5 Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.3.0-py3-none-any.whl differ diff --git a/libs/libqueue/dist/libqueue-0.3.0.tar.gz b/libs/libqueue/dist/libqueue-0.3.0.tar.gz new file mode 100644 index 00000000..d9bb70e8 Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.3.0.tar.gz differ diff --git a/libs/libqueue/dist/libqueue-0.3.1-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.3.1-py3-none-any.whl new file mode 100644 index 00000000..02516f1f Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.3.1-py3-none-any.whl differ diff --git a/libs/libqueue/dist/libqueue-0.3.1.tar.gz b/libs/libqueue/dist/libqueue-0.3.1.tar.gz new file mode 100644 index 00000000..f9eb0076 Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.3.1.tar.gz differ diff --git a/libs/libqueue/dist/libqueue-0.3.2-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.3.2-py3-none-any.whl new file mode 100644 index 00000000..cabb1360 Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.3.2-py3-none-any.whl differ diff --git a/libs/libqueue/dist/libqueue-0.3.2.tar.gz b/libs/libqueue/dist/libqueue-0.3.2.tar.gz new file mode 100644 index 00000000..1367e3ba Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.3.2.tar.gz differ diff --git a/libs/libqueue/poetry.lock b/libs/libqueue/poetry.lock index 8ec9a04e..9a8d90c5 100644 --- a/libs/libqueue/poetry.lock +++ b/libs/libqueue/poetry.lock @@ -318,0 +319,11 @@ tomlkit = ">=0.7.2,<0.8.0" +[[package]] +name = "psutil" +version = "5.9.2" +description = "Cross-platform lib for process and system monitoring in Python." +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[package.extras] +test = ["ipaddress", "mock", "enum34", "pywin32", "wmi"] + @@ -530,0 +542,8 @@ python-versions = "*" +[[package]] +name = "types-psutil" +version = "5.9.5.1" +description = "Typing stubs for psutil" +category = "dev" +optional = false +python-versions = "*" + @@ -555 +574 @@ python-versions = "3.9.6" -content-hash = "b0149b3dc630dbb2a2576b3f6bb5b4323204f2f4dfb130c83f108a7380b4e173" +content-hash = "f1e5c2314c537ad7fe31443ebb167ebbb89dd978e1176f75798602de0616e9b1" @@ -746,0 +766 @@ poetryup = [ +psutil = [] @@ -973,0 +994 @@ typed-ast = [ +types-psutil = [] diff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml index 997e967e..b148a1bb 100644 --- a/libs/libqueue/pyproject.toml +++ b/libs/libqueue/pyproject.toml @@ -5 +5 @@ name = "libqueue" -version = "0.2.0" +version = "0.3.2" @@ -10,0 +11 @@ mongoengine = "^0.24.1" +psutil = "^5.9.2" @@ -23,0 +25 @@ safety = "^2.1.1" +types-psutil = "^5.9.5" diff --git a/libs/libqueue/src/libqueue/constants.py b/libs/libqueue/src/libqueue/constants.py new file mode 100644 index 00000000..aff12f95 --- /dev/null +++ b/libs/libqueue/src/libqueue/constants.py @@ -0,0 +1,6 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +DEFAULT_MAX_LOAD_PCT: int = 70 +DEFAULT_MAX_MEMORY_PCT: int = 80 +DEFAULT_WORKER_SLEEP_SECONDS: int = 15 diff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py index 934d6962..4139fd85 100644 --- a/libs/libqueue/src/libqueue/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -12 +12 @@ from mongoengine.errors import MultipleObjectsReturned -from mongoengine.fields import DateTimeField, EnumField, IntField, StringField +from mongoengine.fields import DateTimeField, EnumField, StringField @@ -45,0 +46,4 @@ class JobDict(TypedDict): + type: str + dataset: str + config: Optional[str] + split: Optional[str] @@ -50,11 +53,0 @@ class JobDict(TypedDict): - retries: int - - -class SplitsJobDict(JobDict): - dataset_name: str - - -class FirstRowsJobDict(JobDict): - dataset_name: str - config_name: str - split_name: str @@ -71,2 +64 @@ class CountByStatus(TypedDict): -# All the fields are optional -class DumpByStatus(TypedDict, total=False): +class DumpByPendingStatus(TypedDict): @@ -75,3 +67,12 @@ class DumpByStatus(TypedDict, total=False): - success: List[JobDict] - error: List[JobDict] - cancelled: List[JobDict] + + +class EmptyQueue(Exception): + pass + + +class JobNotFound(Exception): + pass + + +def get_datetime() -> datetime: + return datetime.now(timezone.utc) @@ -89 +90 @@ def connect_to_queue(database, host) -> None: -# For a given dataset_name, any number of finished and cancelled jobs are allowed, +# For a given set of arguments, any number of finished and cancelled jobs are allowed, @@ -91,25 +92,13 @@ def connect_to_queue(database, host) -> None: -class SplitsJob(Document): - meta = { - "collection": "splits_jobs", - "db_alias": "queue", - "indexes": ["status", ("dataset_name", "status")], - } - dataset_name = StringField(required=True) - created_at = DateTimeField(required=True) - started_at = DateTimeField() - finished_at = DateTimeField() - status = EnumField(Status, default=Status.WAITING) - retries = IntField(required=False, default=0) - - def to_dict(self) -> SplitsJobDict: - return { - "dataset_name": self.dataset_name, - "status": self.status.value, - "created_at": self.created_at, - "started_at": self.started_at, - "finished_at": self.finished_at, - "retries": self.retries, - } - - def to_id(self) -> str: - return f"SplitsJob[{self.dataset_name}]" +class Job(Document): + """A job in the mongoDB database + + Args: + type (`str`): The type of the job, identifies the queue + dataset (`str`): The dataset on which to apply the job. + config (`str`, optional): The config on which to apply the job. + split (`str`, optional): The config on which to apply the job. + status (`Status`, optional): The status of the job. Defaults to Status.WAITING. + created_at (`datetime`): The creation date of the job. + started_at (`datetime`, optional): When the job has started. + finished_at (`datetime`, optional): When the job has finished. + """ @@ -117,4 +105,0 @@ class SplitsJob(Document): - objects = QuerySetManager["SplitsJob"]() - - -class FirstRowsJob(Document): @@ -122 +107 @@ class FirstRowsJob(Document): - "collection": "first_rows_jobs", + "collection": "jobs", @@ -126,2 +111,3 @@ class FirstRowsJob(Document): - ("dataset_name", "status"), - ("dataset_name", "config_name", "split_name", "status"), + ("type", "status"), + ("type", "dataset", "status"), + ("type", "dataset", "config", "split", "status"), @@ -130,3 +116,4 @@ class FirstRowsJob(Document): - dataset_name = StringField(required=True) - config_name = StringField(required=True) - split_name = StringField(required=True) + type = StringField(required=True) + dataset = StringField(required=True) + config = StringField() + split = StringField() @@ -137 +123,0 @@ class FirstRowsJob(Document): - retries = IntField(required=False, default=0) @@ -139 +125 @@ class FirstRowsJob(Document): - def to_dict(self) -> FirstRowsJobDict: + def to_dict(self) -> JobDict: @@ -141,3 +127,4 @@ class FirstRowsJob(Document): - "dataset_name": self.dataset_name, - "config_name": self.config_name, - "split_name": self.split_name, + "type": self.type, + "dataset": self.dataset, + "config": self.config, + "split": self.split, @@ -148 +134,0 @@ class FirstRowsJob(Document): - "retries": self.retries, @@ -152,3 +138 @@ class FirstRowsJob(Document): - return f"FirstRowsJob[{self.dataset_name}, {self.config_name}, {self.split_name}]" - - objects = QuerySetManager["FirstRowsJob"]() + return f"Job[{self.type}][{self.dataset}][{self.config}][{self.split}]" @@ -155,0 +140 @@ class FirstRowsJob(Document): + objects = QuerySetManager["Job"]() @@ -157 +141,0 @@ class FirstRowsJob(Document): -AnyJob = TypeVar("AnyJob", SplitsJob, FirstRowsJob) @@ -158,0 +143,2 @@ AnyJob = TypeVar("AnyJob", SplitsJob, FirstRowsJob) +class Queue: + """A queue manages jobs of a given type. @@ -160,2 +146,2 @@ AnyJob = TypeVar("AnyJob", SplitsJob, FirstRowsJob) -class EmptyQueue(Exception): - pass + Note that creating a Queue object does not create the queue in the database. It's a view that allows to manipulate + the jobs. You can create multiple Queue objects, it has no effect on the database. @@ -162,0 +149,8 @@ class EmptyQueue(Exception): + It's a FIFO queue, with the following properties: + - a job is identified by its input arguments: dataset, and optionally config and split + - a job can be in one of the following states: waiting, started, success, error, cancelled + - a job can be in the queue only once in a pending state (waiting or started) + - a job can be in the queue multiple times in a finished state (success, error, cancelled) + - the queue is ordered by the creation date of the jobs + - datasets that already have started job are de-prioritized + - datasets cannot have more than `max_jobs_per_dataset` started jobs @@ -164,2 +158,5 @@ class EmptyQueue(Exception): -class JobNotFound(Exception): - pass + Args: + type (`str`, required): Type of the job. It identifies the queue. + max_jobs_per_dataset (`int`): Maximum number of started jobs for the same dataset. 0 or a negative value + are ignored. Defaults to None. + """ @@ -166,0 +164,5 @@ class JobNotFound(Exception): + def __init__(self, type: str, max_jobs_per_dataset: Optional[int] = None): + self.type = type + self.max_jobs_per_dataset = ( + None if max_jobs_per_dataset is None or max_jobs_per_dataset < 1 else max_jobs_per_dataset + ) @@ -168,2 +170,2 @@ class JobNotFound(Exception): -def get_datetime() -> datetime: - return datetime.now(timezone.utc) + def add_job(self, dataset: str, config: Optional[str] = None, split: Optional[str] = None) -> Job: + """Add a job to the queue in the waiting state. @@ -170,0 +173,2 @@ def get_datetime() -> datetime: + If a job with the same arguments already exists in the queue in a pending state (waiting, started), no new job + is created and the existing job is returned. @@ -172,30 +176,8 @@ def get_datetime() -> datetime: -def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob) -> AnyJob: - pending_jobs = existing_jobs.filter(status__in=[Status.WAITING, Status.STARTED]) - try: - # If one non-finished job exists, return it - return pending_jobs.get() - except DoesNotExist: - # None exist, create one - return new_job.save() - except MultipleObjectsReturned: - # should not happen, but it's not enforced in the database - # (we could have one in WAITING status and another one in STARTED status) - # it it happens, we "cancel" all of them, and re-run the same function - pending_jobs.update(finished_at=get_datetime(), status=Status.CANCELLED) - return add_job(existing_jobs, new_job) - - -def add_splits_job(dataset_name: str, retries: Optional[int] = 0) -> None: - add_job( - SplitsJob.objects(dataset_name=dataset_name), - SplitsJob(dataset_name=dataset_name, created_at=get_datetime(), status=Status.WAITING, retries=retries), - ) - - -def add_first_rows_job(dataset_name: str, config_name: str, split_name: str, retries: Optional[int] = 0) -> None: - add_job( - FirstRowsJob.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name), - FirstRowsJob( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, + Returns: the job + """ + existing_jobs = Job.objects(type=self.type, dataset=dataset, config=config, split=split) + new_job = Job( + type=self.type, + dataset=dataset, + config=config, + split=split, @@ -204,48 +186,32 @@ def add_first_rows_job(dataset_name: str, config_name: str, split_name: str, ret - retries=retries, - ), - ) - - -def get_jobs_with_status(jobs: QuerySet[AnyJob], status: Status) -> QuerySet[AnyJob]: - return jobs(status=status) - - -def get_waiting(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: - return get_jobs_with_status(jobs, Status.WAITING) - - -def get_started(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: - return get_jobs_with_status(jobs, Status.STARTED) - - -def get_num_started_for_dataset(jobs: QuerySet[AnyJob], dataset_name: str) -> int: - return jobs(status=Status.STARTED, dataset_name=dataset_name).count() - - -def get_finished(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: - return jobs(status__nin=[Status.WAITING, Status.STARTED]) - - -def get_started_dataset_names(jobs: QuerySet[AnyJob]) -> List[str]: - return [job.dataset_name for job in jobs(status=Status.STARTED).only("dataset_name")] - - -def get_excluded_dataset_names(dataset_names: List[str], max_jobs_per_dataset: Optional[int] = None) -> List[str]: - if max_jobs_per_dataset is None: - return [] - return list( - {dataset_name for dataset_name in dataset_names if dataset_names.count(dataset_name) >= max_jobs_per_dataset} - ) - - -def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None) -> AnyJob: - # try to get a job for a dataset that has still no started job - started_dataset_names = get_started_dataset_names(jobs) - next_waiting_job = ( - jobs(status=Status.WAITING, dataset_name__nin=started_dataset_names).order_by("+created_at").no_cache().first() - ) - # ^ no_cache should generate a query on every iteration, which should solve concurrency issues between workers - if next_waiting_job is None: - # the waiting jobs are all for datasets that already have started jobs. - # let's take the next one, in the limit of max_jobs_per_dataset - excluded_dataset_names = get_excluded_dataset_names(started_dataset_names, max_jobs_per_dataset) + ) + pending_jobs = existing_jobs.filter(status__in=[Status.WAITING, Status.STARTED]) + try: + # If one non-finished job exists, return it + return pending_jobs.get() + except DoesNotExist: + # None exist, create one + return new_job.save() + except MultipleObjectsReturned: + # should not happen, but it's not enforced in the database + # (we could have one in WAITING status and another one in STARTED status) + # if it happens, we "cancel" all of them, and re-run the same function + pending_jobs.update(finished_at=get_datetime(), status=Status.CANCELLED) + return self.add_job(dataset=dataset, config=config, split=split) + + def start_job(self) -> Tuple[str, str, Optional[str], Optional[str]]: + """Start the next job in the queue. + + Get the next job in the queue, among the datasets that still have no started job. + If no job is available, get the next job in the queue, among the datasets that already have a started job, + but not more than `max_jobs_per_dataset` jobs per dataset. + + The job is moved from the waiting state to the started state. + + Raises: + EmptyQueue: if there is no job in the queue, within the limit of the maximum number of started jobs for a + dataset + + Returns: the job id and the input arguments: dataset, config and split + """ + # try to get a job for a dataset that still has no started job + started_datasets = [job.dataset for job in Job.objects(type=self.type, status=Status.STARTED).only("dataset")] @@ -253 +219 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - jobs(status=Status.WAITING, dataset_name__nin=excluded_dataset_names) + Job.objects(type=self.type, status=Status.WAITING, dataset__nin=started_datasets) @@ -258,63 +224,74 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - if next_waiting_job is None: - raise EmptyQueue("no job available (within the limit of {max_jobs_per_dataset} started jobs per dataset)") - next_waiting_job.update(started_at=get_datetime(), status=Status.STARTED) - return next_waiting_job - - -def get_splits_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str, int]: - job = start_job(SplitsJob.objects, max_jobs_per_dataset) - # ^ max_jobs_per_dataset is not very useful for the SplitsJob queue - # since only one job per dataset can exist anyway - # It's here for consistency and safeguard - return str(job.pk), job.dataset_name, job.retries - # ^ job.pk is the id. job.id is not recognized by mypy - - -def get_first_rows_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str, str, str, int]: - job = start_job(FirstRowsJob.objects, max_jobs_per_dataset) - return str(job.pk), job.dataset_name, job.config_name, job.split_name, job.retries - # ^ job.pk is the id. job.id is not recognized by mypy - - -def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> None: - try: - job = jobs(pk=job_id).get() - except DoesNotExist: - logger.error(f"started job {job_id} does not exist. Aborting.") - return - if job.status is not Status.STARTED: - logger.warning( - f"started job {job.to_id()} has a not the STARTED status ({job.status.value}). Force finishing anyway." - ) - if job.finished_at is not None: - logger.warning(f"started job {job.to_id()} has a non-empty finished_at field. Force finishing anyway.") - if job.started_at is None: - logger.warning(f"started job {job.to_id()} has an empty started_at field. Force finishing anyway.") - status = Status.SUCCESS if success else Status.ERROR - job.update(finished_at=get_datetime(), status=status) - - -def finish_splits_job(job_id: str, success: bool) -> None: - finish_started_job(SplitsJob.objects, job_id, success) - - -def finish_first_rows_job(job_id: str, success: bool) -> None: - finish_started_job(FirstRowsJob.objects, job_id, success) - - -def clean_database() -> None: - SplitsJob.drop_collection() # type: ignore - FirstRowsJob.drop_collection() # type: ignore - - -def cancel_started_splits_jobs() -> None: - for job in get_started(SplitsJob.objects): - job.update(finished_at=get_datetime(), status=Status.CANCELLED) - add_splits_job(dataset_name=job.dataset_name, retries=job.retries) - - -def cancel_started_first_rows_jobs() -> None: - for job in get_started(FirstRowsJob.objects): - job.update(finished_at=get_datetime(), status=Status.CANCELLED) - add_first_rows_job( - dataset_name=job.dataset_name, config_name=job.config_name, split_name=job.split_name, retries=job.retries + # ^ no_cache should generate a query on every iteration, which should solve concurrency issues between workers + if next_waiting_job is None: + # the waiting jobs are all for datasets that already have started jobs. + # let's take the next one, in the limit of max_jobs_per_dataset + excluded_datasets = ( + [] + if self.max_jobs_per_dataset is None + else list( + { + dataset + for dataset in started_datasets + if started_datasets.count(dataset) >= self.max_jobs_per_dataset + } + ) + ) + next_waiting_job = ( + Job.objects(type=self.type, status=Status.WAITING, dataset__nin=excluded_datasets) + .order_by("+created_at") + .no_cache() + .first() + ) + if next_waiting_job is None: + raise EmptyQueue("no job available (within the limit of {max_jobs_per_dataset} started jobs per dataset)") + next_waiting_job.update(started_at=get_datetime(), status=Status.STARTED) + return str(next_waiting_job.pk), next_waiting_job.dataset, next_waiting_job.config, next_waiting_job.split + # ^ job.pk is the id. job.id is not recognized by mypy + + def finish_job(self, job_id: str, success: bool) -> None: + """Finish a job in the queue. + + The job is moved from the started state to the success or error state. + + Args: + job_id (`str`, required): id of the job + success (`bool`, required): whether the job succeeded or not + + Returns: nothing + """ + try: + job = Job.objects(pk=job_id).get() + except DoesNotExist: + logger.error(f"job {job_id} does not exist. Aborting.") + return + if job.status is not Status.STARTED: + logger.warning( + f"job {job.to_id()} has a not the STARTED status ({job.status.value}). Force finishing anyway." + ) + if job.finished_at is not None: + logger.warning(f"job {job.to_id()} has a non-empty finished_at field. Force finishing anyway.") + if job.started_at is None: + logger.warning(f"job {job.to_id()} has an empty started_at field. Force finishing anyway.") + status = Status.SUCCESS if success else Status.ERROR + job.update(finished_at=get_datetime(), status=status) + + def is_job_in_process(self, dataset: str, config: Optional[str] = None, split: Optional[str] = None) -> bool: + """Check if a job is in process (waiting or started). + + Args: + dataset (`str`, required): dataset name + config (`str`, optional): config name. Defaults to None. + split (`str`, optional): split name. Defaults to None. + + Returns: + `bool`: whether the job is in process (waiting or started) + """ + return ( + Job.objects( + type=self.type, + dataset=dataset, + config=config, + split=split, + status__in=[Status.WAITING, Status.STARTED], + ).count() + > 0 @@ -322,0 +300,34 @@ def cancel_started_first_rows_jobs() -> None: + def cancel_started_jobs(self) -> None: + """Cancel all started jobs.""" + for job in Job.objects(type=self.type, status=Status.STARTED.value): + job.update(finished_at=get_datetime(), status=Status.CANCELLED) + self.add_job(dataset=job.dataset, config=job.config, split=job.split) + + # special reports + def count_jobs(self, status: Status) -> int: + """Count the number of jobs with a given status. + + Args: + status (`Status`, required): status of the jobs + + Returns: the number of jobs with the given status + """ + return Job.objects(type=self.type, status=status.value).count() + + def get_jobs_count_by_status(self) -> CountByStatus: + """Count the number of jobs by status. + + Returns: a dictionary with the number of jobs for each status + """ + # ensure that all the statuses are present, even if equal to zero + # note: we repeat the values instead of looping on Status because we don't know how to get the types right + # in mypy + # result: CountByStatus = {s.value: jobs(status=s.value).count() for s in Status} # <- doesn't work in mypy + # see https://stackoverflow.com/a/67292548/7351594 + return { + "waiting": self.count_jobs(status=Status.WAITING), + "started": self.count_jobs(status=Status.STARTED), + "success": self.count_jobs(status=Status.SUCCESS), + "error": self.count_jobs(status=Status.ERROR), + "cancelled": self.count_jobs(status=Status.CANCELLED), + } @@ -324,39 +335,2 @@ def cancel_started_first_rows_jobs() -> None: -def is_splits_response_in_process(dataset_name: str) -> bool: - return SplitsJob.objects(dataset_name=dataset_name, status__in=[Status.WAITING, Status.STARTED]).count() > 0 - - -def is_first_rows_response_in_process(dataset_name: str, config_name: str, split_name: str) -> bool: - return ( - FirstRowsJob.objects( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - status__in=[Status.WAITING, Status.STARTED], - ).count() - > 0 - ) - - -# special reports - - -def get_jobs_count_by_status(jobs: QuerySet[AnyJob]) -> CountByStatus: - # ensure that all the statuses are present, even if equal to zero - # note: we repeat the values instead of looping on Status because we don't know how to get the types right in mypy - # result: CountByStatus = {s.value: jobs(status=s.value).count() for s in Status} # <- doesn't work in mypy - # see https://stackoverflow.com/a/67292548/7351594 - return { - "waiting": jobs(status=Status.WAITING.value).count(), - "started": jobs(status=Status.STARTED.value).count(), - "success": jobs(status=Status.SUCCESS.value).count(), - "error": jobs(status=Status.ERROR.value).count(), - "cancelled": jobs(status=Status.CANCELLED.value).count(), - } - - -def get_splits_jobs_count_by_status() -> CountByStatus: - return get_jobs_count_by_status(SplitsJob.objects) - - -def get_first_rows_jobs_count_by_status() -> CountByStatus: - return get_jobs_count_by_status(FirstRowsJob.objects) + def get_dump_with_status(self, status: Status) -> List[JobDict]: + """Get the dump of the jobs with a given status. @@ -363,0 +338,2 @@ def get_first_rows_jobs_count_by_status() -> CountByStatus: + Args: + status (`Status`, required): status of the jobs @@ -365,2 +341,3 @@ def get_first_rows_jobs_count_by_status() -> CountByStatus: -def get_dump_with_status(jobs: QuerySet[AnyJob], status: Status) -> List[JobDict]: - return [d.to_dict() for d in get_jobs_with_status(jobs, status)] + Returns: a list of jobs with the given status + """ + return [d.to_dict() for d in Job.objects(type=self.type, status=status.value)] @@ -367,0 +345,2 @@ def get_dump_with_status(jobs: QuerySet[AnyJob], status: Status) -> List[JobDict + def get_dump_by_pending_status(self) -> DumpByPendingStatus: + """Get the dump of the jobs by pending status. @@ -369,2 +348,2 @@ def get_dump_with_status(jobs: QuerySet[AnyJob], status: Status) -> List[JobDict -def get_dump_by_status(jobs: QuerySet[AnyJob], waiting_started: bool = False) -> DumpByStatus: - if waiting_started: + Returns: a dictionary with the dump of the jobs for each pending status + """ @@ -372,2 +351,2 @@ def get_dump_by_status(jobs: QuerySet[AnyJob], waiting_started: bool = False) -> - "waiting": get_dump_with_status(jobs, Status.WAITING), - "started": get_dump_with_status(jobs, Status.STARTED), + "waiting": self.get_dump_with_status(status=Status.WAITING), + "started": self.get_dump_with_status(status=Status.STARTED), @@ -375,7 +353,0 @@ def get_dump_by_status(jobs: QuerySet[AnyJob], waiting_started: bool = False) -> - return { - "waiting": get_dump_with_status(jobs, Status.WAITING), - "started": get_dump_with_status(jobs, Status.STARTED), - "success": get_dump_with_status(jobs, Status.SUCCESS), - "error": get_dump_with_status(jobs, Status.ERROR), - "cancelled": get_dump_with_status(jobs, Status.CANCELLED), - } @@ -384,2 +356,4 @@ def get_dump_by_status(jobs: QuerySet[AnyJob], waiting_started: bool = False) -> -def get_splits_dump_by_status(waiting_started: bool = False) -> DumpByStatus: - return get_dump_by_status(SplitsJob.objects, waiting_started) +# only for the tests +def _clean_queue_database() -> None: + """Delete all the jobs in the database""" + Job.drop_collection() # type: ignore @@ -388,2 +362,2 @@ def get_splits_dump_by_status(waiting_started: bool = False) -> DumpByStatus: -def get_first_rows_dump_by_status(waiting_started: bool = False) -> DumpByStatus: - return get_dump_by_status(FirstRowsJob.objects, waiting_started) +# explicit re-export +__all__ = ["DoesNotExist"] diff --git a/libs/libqueue/src/libqueue/worker.py b/libs/libqueue/src/libqueue/worker.py new file mode 100644 index 00000000..e495dcf4 --- /dev/null +++ b/libs/libqueue/src/libqueue/worker.py @@ -0,0 +1,114 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import logging +import random +import time +from abc import ABC, abstractmethod +from typing import Optional + +from psutil import cpu_count, getloadavg, swap_memory, virtual_memory + +from libqueue.queue import EmptyQueue, Queue + +from .constants import ( + DEFAULT_MAX_LOAD_PCT, + DEFAULT_MAX_MEMORY_PCT, + DEFAULT_WORKER_SLEEP_SECONDS, +) + +logger = logging.getLogger(__name__) + + +class Worker(ABC): + max_load_pct: int + max_memory_pct: int + sleep_seconds: int + + @property + @abstractmethod + def queue(self) -> Queue: + pass + + def __init__( + self, + max_load_pct: Optional[int] = None, + max_memory_pct: Optional[int] = None, + sleep_seconds: Optional[int] = None, + ) -> None: + self.max_load_pct = DEFAULT_MAX_LOAD_PCT if max_load_pct is None else max_load_pct + self.max_memory_pct = DEFAULT_MAX_MEMORY_PCT if max_memory_pct is None else max_memory_pct + self.sleep_seconds = DEFAULT_WORKER_SLEEP_SECONDS if sleep_seconds is None else sleep_seconds + + def has_memory(self) -> bool: + if self.max_memory_pct <= 0: + return True + virtual_memory_used: int = virtual_memory().used # type: ignore + virtual_memory_total: int = virtual_memory().total # type: ignore + percent = (swap_memory().used + virtual_memory_used) / (swap_memory().total + virtual_memory_total) + ok = percent < self.max_memory_pct + if not ok: + logger.info(f"memory usage (RAM + SWAP) is too high: {percent:.0f}% - max is {self.max_memory_pct}%") + return ok + + def has_cpu(self) -> bool: + if self.max_load_pct <= 0: + return True + load_pct = max(getloadavg()[:2]) / cpu_count() * 100 + # ^ only current load and 5m load. 15m load is not relevant to decide to launch a new job + ok = load_pct < self.max_load_pct + if not ok: + logger.info(f"cpu load is too high: {load_pct:.0f}% - max is {self.max_load_pct}%") + return ok + + def sleep(self) -> None: + jitter = 0.75 + random.random() / 2 # nosec + # ^ between 0.75 and 1.25 + duration = self.sleep_seconds * jitter + logger.debug(f"sleep during {duration:.2f} seconds") + time.sleep(duration) + + def loop(self) -> None: + try: + while True: + if self.has_memory() and self.has_cpu() and self.process_next_job(): + # loop immediately to try another job + # see https://github.com/huggingface/datasets-server/issues/265 + continue + self.sleep() + except BaseException as e: + logger.critical(f"quit due to an uncaught error while processing the job: {e}") + raise + + def process_next_job(self) -> bool: + logger.debug("try to process a job") + + try: + job_id, dataset, config, split = self.queue.start_job() + parameters_for_log = "dataset={dataset}" + ("" if split is None else f"config={config} split={split}") + logger.debug(f"job assigned: {job_id} for {parameters_for_log}") + except EmptyQueue: + logger.debug("no job in the queue") + return False + + try: + logger.info(f"compute {parameters_for_log}") + success = self.compute( + dataset=dataset, + config=config, + split=split, + ) + finally: + self.queue.finish_job(job_id=job_id, success=success) + result = "success" if success else "error" + logger.debug(f"job finished with {result}: {job_id} for {parameters_for_log}") + return True + + @abstractmethod + def compute( + self, + dataset: str, + config: Optional[str] = None, + split: Optional[str] = None, + ) -> bool: + pass diff --git a/libs/libqueue/tests/test_queue.py b/libs/libqueue/tests/test_queue.py index 5d58f89e..f41bb879 100644 --- a/libs/libqueue/tests/test_queue.py +++ b/libs/libqueue/tests/test_queue.py @@ -3,0 +4,2 @@ +from typing import Optional + @@ -8 +10,2 @@ from libqueue.queue import ( - FirstRowsJob, + Job, + Queue, @@ -10,3 +13 @@ from libqueue.queue import ( - add_first_rows_job, - add_splits_job, - clean_database, + _clean_queue_database, @@ -14,2 +14,0 @@ from libqueue.queue import ( - finish_first_rows_job, - finish_splits_job, @@ -17,6 +15,0 @@ from libqueue.queue import ( - get_first_rows_job, - get_first_rows_jobs_count_by_status, - get_splits_job, - get_splits_jobs_count_by_status, - is_first_rows_response_in_process, - is_splits_response_in_process, @@ -41 +34 @@ def clean_mongo_database() -> None: - clean_database() + _clean_queue_database() @@ -44,0 +38,4 @@ def test_add_job() -> None: + test_type = "test_type" + test_dataset = "test_dataset" + # get the queue + queue = Queue(test_type) @@ -46 +43 @@ def test_add_job() -> None: - add_splits_job("test") + queue.add_job(dataset=test_dataset) @@ -48,2 +45,2 @@ def test_add_job() -> None: - add_splits_job("test") - assert is_splits_response_in_process("test") is True + queue.add_job(dataset=test_dataset) + assert queue.is_job_in_process(dataset=test_dataset) is True @@ -51,4 +48,5 @@ def test_add_job() -> None: - job_id, dataset_name, retries = get_splits_job() - assert dataset_name == "test" - assert retries == 0 - assert is_splits_response_in_process("test") is True + job_id, dataset, config, split = queue.start_job() + assert dataset == test_dataset + assert config is None + assert split is None + assert queue.is_job_in_process(dataset=test_dataset) is True @@ -56 +54 @@ def test_add_job() -> None: - add_splits_job("test") + queue.add_job(dataset=test_dataset) @@ -59 +57 @@ def test_add_job() -> None: - get_splits_job() + queue.start_job() @@ -61 +59 @@ def test_add_job() -> None: - finish_splits_job(job_id, success=True) + queue.finish_job(job_id=job_id, success=True) @@ -63 +61 @@ def test_add_job() -> None: - assert is_splits_response_in_process("test") is False + assert queue.is_job_in_process(dataset=test_dataset) is False @@ -65 +63 @@ def test_add_job() -> None: - get_splits_job() + queue.start_job() @@ -67,3 +65,3 @@ def test_add_job() -> None: - add_splits_job("test", retries=5) - # get it and start it - job_id, dataset_name, retries = get_splits_job() + queue.add_job(dataset=test_dataset) + # start it + job_id, *_ = queue.start_job() @@ -71,2 +69 @@ def test_add_job() -> None: - assert retries == 5 - finish_splits_job(other_job_id, success=True) + queue.finish_job(job_id=other_job_id, success=True) @@ -74 +71 @@ def test_add_job() -> None: - finish_splits_job(job_id, success=True) + queue.finish_job(job_id=job_id, success=True) @@ -78,3 +75,4 @@ def test_add_job_with_broken_collection() -> None: - dataset_name = "dataset_broken" - config_name = "config_broken" - split_name = "split_broken" + test_type = "test_type" + test_dataset = "dataset_broken" + test_config = "config_broken" + test_split = "split_broken" @@ -84,4 +82,5 @@ def test_add_job_with_broken_collection() -> None: - job_1 = FirstRowsJob( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, + job_1 = Job( + type=test_type, + dataset=test_dataset, + config=test_config, + split=test_split, @@ -91,4 +90,5 @@ def test_add_job_with_broken_collection() -> None: - job_2 = FirstRowsJob( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, + job_2 = Job( + type=test_type, + dataset=test_dataset, + config=test_config, + split=test_split, @@ -101 +101,2 @@ def test_add_job_with_broken_collection() -> None: - add_first_rows_job(dataset_name=dataset_name, config_name=config_name, split_name=split_name) + queue = Queue(test_type) + queue.add_job(dataset=test_dataset, config=test_config, split=test_split) @@ -103,2 +104,2 @@ def test_add_job_with_broken_collection() -> None: - FirstRowsJob.objects( - dataset_name=dataset_name, config_name=config_name, split_name=split_name, status__in=[Status.WAITING] + Job.objects( + type=test_type, dataset=test_dataset, config=test_config, split=test_split, status__in=[Status.WAITING] @@ -108,2 +109,2 @@ def test_add_job_with_broken_collection() -> None: - assert FirstRowsJob.objects(pk=job_1.pk).get().status == Status.CANCELLED - assert FirstRowsJob.objects(pk=job_2.pk).get().status == Status.CANCELLED + assert Job.objects(pk=job_1.pk).get().status == Status.CANCELLED + assert Job.objects(pk=job_2.pk).get().status == Status.CANCELLED @@ -113,40 +114,26 @@ def test_priority_to_non_started_datasets() -> None: - add_first_rows_job("dataset1", "config", "split1") - add_first_rows_job("dataset1", "config", "split2") - add_first_rows_job("dataset1", "config", "split3") - add_first_rows_job("dataset2", "config", "split1") - add_first_rows_job("dataset2", "config", "split2") - add_first_rows_job("dataset3", "config", "split1") - job_id, dataset_name, _, split_name, __ = get_first_rows_job() - assert dataset_name == "dataset1" - assert split_name == "split1" - job_id, dataset_name, _, split_name, __ = get_first_rows_job() - assert dataset_name == "dataset2" - assert split_name == "split1" - job_id, dataset_name, _, split_name, __ = get_first_rows_job() - assert dataset_name == "dataset3" - assert split_name == "split1" - job_id, dataset_name, _, split_name, __ = get_first_rows_job() - assert dataset_name == "dataset1" - assert split_name == "split2" - job_id, dataset_name, _, split_name, __ = get_first_rows_job() - assert dataset_name == "dataset1" - assert split_name == "split3" - job_id, dataset_name, _, split_name, __ = get_first_rows_job() - assert dataset_name == "dataset2" - assert split_name == "split2" - with pytest.raises(EmptyQueue): - get_first_rows_job() - - -def test_max_jobs_per_dataset() -> None: - add_first_rows_job("dataset", "config", "split1") - assert is_first_rows_response_in_process("dataset", "config", "split1") is True - add_first_rows_job("dataset", "config", "split2") - add_first_rows_job("dataset", "config", "split3") - job_id, dataset_name, config_name, split_name, __ = get_first_rows_job() - assert dataset_name == "dataset" - assert config_name == "config" - assert split_name == "split1" - assert is_first_rows_response_in_process("dataset", "config", "split1") is True - with pytest.raises(EmptyQueue): - get_first_rows_job(0) + test_type = "test_type" + queue = Queue(test_type) + queue.add_job(dataset="dataset1", config="config", split="split1") + queue.add_job(dataset="dataset1", config="config", split="split2") + queue.add_job(dataset="dataset1", config="config", split="split3") + queue.add_job(dataset="dataset2", config="config", split="split1") + queue.add_job(dataset="dataset2", config="config", split="split2") + queue.add_job(dataset="dataset3", config="config", split="split1") + _, dataset, __, split = queue.start_job() + assert dataset == "dataset1" + assert split == "split1" + _, dataset, __, split = queue.start_job() + assert dataset == "dataset2" + assert split == "split1" + _, dataset, __, split = queue.start_job() + assert dataset == "dataset3" + assert split == "split1" + _, dataset, __, split = queue.start_job() + assert dataset == "dataset1" + assert split == "split2" + _, dataset, __, split = queue.start_job() + assert dataset == "dataset1" + assert split == "split3" + _, dataset, __, split = queue.start_job() + assert dataset == "dataset2" + assert split == "split2" @@ -154,5 +141,30 @@ def test_max_jobs_per_dataset() -> None: - get_first_rows_job(1) - _, dataset_name, config_name, split_name, __ = get_first_rows_job(2) - assert split_name == "split2" - with pytest.raises(EmptyQueue): - get_first_rows_job(2) + queue.start_job() + + [email protected]("max_jobs_per_dataset", [(None), (-5), (0), (1), (2)]) +def test_max_jobs_per_dataset(max_jobs_per_dataset: Optional[int]) -> None: + test_type = "test_type" + test_dataset = "test_dataset" + test_config = "test_config" + queue = Queue(test_type, max_jobs_per_dataset=max_jobs_per_dataset) + queue.add_job(dataset=test_dataset, config=test_config, split="split1") + assert queue.is_job_in_process(dataset=test_dataset, config=test_config, split="split1") is True + queue.add_job(dataset=test_dataset, config=test_config, split="split2") + queue.add_job(dataset=test_dataset, config=test_config, split="split3") + job_id, dataset, config, split = queue.start_job() + assert dataset == test_dataset + assert config == test_config + assert split == "split1" + assert queue.is_job_in_process(dataset=test_dataset, config=test_config, split="split1") is True + if max_jobs_per_dataset == 1: + + with pytest.raises(EmptyQueue): + queue.start_job() + return + _, dataset, config, split = queue.start_job() + assert split == "split2" + if max_jobs_per_dataset == 2: + with pytest.raises(EmptyQueue): + queue.start_job() + return + # max_jobs_per_dataset <= 0 and max_jobs_per_dataset == None are the same @@ -160,2 +172,2 @@ def test_max_jobs_per_dataset() -> None: - finish_first_rows_job(job_id, success=True) - assert is_first_rows_response_in_process("dataset", "config", "split1") is False + queue.finish_job(job_id, success=True) + assert queue.is_job_in_process(dataset=test_dataset, config=test_config, split="split1") is False @@ -165,29 +177,21 @@ def test_count_by_status() -> None: - assert get_splits_jobs_count_by_status() == { - "waiting": 0, - "started": 0, - "success": 0, - "error": 0, - "cancelled": 0, - } - - add_splits_job("test_dataset") - - assert get_splits_jobs_count_by_status() == {"waiting": 1, "started": 0, "success": 0, "error": 0, "cancelled": 0} - - assert get_first_rows_jobs_count_by_status() == { - "waiting": 0, - "started": 0, - "success": 0, - "error": 0, - "cancelled": 0, - } - - add_first_rows_job("test_dataset", "test_config", "test_split") - - assert get_first_rows_jobs_count_by_status() == { - "waiting": 1, - "started": 0, - "success": 0, - "error": 0, - "cancelled": 0, - } + test_type = "test_type" + test_other_type = "test_other_type" + test_dataset = "test_dataset" + queue = Queue(test_type) + queue_other = Queue(test_other_type) + + expected_empty = {"waiting": 0, "started": 0, "success": 0, "error": 0, "cancelled": 0} + expected_one_waiting = {"waiting": 1, "started": 0, "success": 0, "error": 0, "cancelled": 0} + + assert queue.get_jobs_count_by_status() == expected_empty + assert queue_other.get_jobs_count_by_status() == expected_empty + + queue.add_job(dataset=test_dataset) + + assert queue.get_jobs_count_by_status() == expected_one_waiting + assert queue_other.get_jobs_count_by_status() == expected_empty + + queue_other.add_job(dataset=test_dataset) + + assert queue.get_jobs_count_by_status() == expected_one_waiting + assert queue_other.get_jobs_count_by_status() == expected_one_waiting diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 170cd2bf..f9cc006c 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -307 +307 @@ name = "libqueue" -version = "0.2.0" +version = "0.3.1" @@ -320 +320 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.3.1-py3-none-any.whl" @@ -802 +802 @@ python-versions = "3.9.6" -content-hash = "02ecb4f6d1a72a749e9ef3c55cc27c117e3955cb239c00b8d36bebbd440b74e5" +content-hash = "2ed379b24a717b5a2d9b0c00d246302bd3ab4f4cbb18b342cd6c0bc6d9597981" @@ -955 +955 @@ libqueue = [ - {file = "libqueue-0.2.0-py3-none-any.whl", hash = "sha256:ec4d47a4b577528f4d414d32e9c8861ce42934c5a0bd362c70b17dd0d9dc5e16"}, + {file = "libqueue-0.3.1-py3-none-any.whl", hash = "sha256:bc8be8f0ffe1d82260269ce21f9814d3b083ac175f0eb6200ca84a791e427a5d"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 62bcac2a..eead82b4 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -11 +11 @@ libcache = { path = "../../libs/libcache/dist/libcache-0.2.2-py3-none-any.whl", -libqueue = { path = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl", develop = false } +libqueue = { path = "../../libs/libqueue/dist/libqueue-0.3.1-py3-none-any.whl", develop = false } diff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py index d2f60a04..635de063 100644 --- a/services/admin/src/admin/prometheus.py +++ b/services/admin/src/admin/prometheus.py @@ -11,4 +11 @@ from libcache.simple_cache import ( -from libqueue.queue import ( - get_first_rows_jobs_count_by_status, - get_splits_jobs_count_by_status, -) +from libqueue.queue import Queue @@ -27,0 +25,2 @@ from starlette.responses import Response +from admin.utils import JobType + @@ -33,0 +33,2 @@ class Prometheus: + self.split_queue = Queue(type=JobType.SPLITS.value) + self.first_rows_queue = Queue(type=JobType.FIRST_ROWS.value) @@ -60,4 +61,4 @@ class Prometheus: - for status, total in get_splits_jobs_count_by_status().items(): - self.metrics["queue_jobs_total"].labels(queue="/splits", status=status).set(total) - for status, total in get_first_rows_jobs_count_by_status().items(): - self.metrics["queue_jobs_total"].labels(queue="/first-rows", status=status).set(total) + for status, total in self.split_queue.get_jobs_count_by_status().items(): + self.metrics["queue_jobs_total"].labels(queue=JobType.SPLITS.value, status=status).set(total) + for status, total in self.first_rows_queue.get_jobs_count_by_status().items(): + self.metrics["queue_jobs_total"].labels(queue=JobType.FIRST_ROWS.value, status=status).set(total) diff --git a/services/admin/src/admin/routes/pending_jobs.py b/services/admin/src/admin/routes/pending_jobs.py index 070705ad..63024b6e 100644 --- a/services/admin/src/admin/routes/pending_jobs.py +++ b/services/admin/src/admin/routes/pending_jobs.py @@ -5 +4,0 @@ import logging -import time @@ -8 +7 @@ from typing import Optional -from libqueue.queue import get_first_rows_dump_by_status, get_splits_dump_by_status +from libqueue.queue import Queue @@ -15,0 +15 @@ from admin.utils import ( + JobType, @@ -26,0 +27,3 @@ def create_pending_jobs_endpoint( + splits_queue = Queue(type=JobType.SPLITS.value) + first_rows_queue = Queue(type=JobType.FIRST_ROWS.value) + @@ -34,3 +37,2 @@ def create_pending_jobs_endpoint( - "/splits": get_splits_dump_by_status(waiting_started=True), - "/first-rows": get_first_rows_dump_by_status(waiting_started=True), - "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), + JobType.SPLITS.value: splits_queue.get_dump_by_pending_status(), + JobType.FIRST_ROWS.value: first_rows_queue.get_dump_by_pending_status(), diff --git a/services/admin/src/admin/scripts/cancel_jobs_first_rows.py b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py index e28b372a..28daa229 100644 --- a/services/admin/src/admin/scripts/cancel_jobs_first_rows.py +++ b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py @@ -6 +6 @@ import logging -from libqueue.queue import cancel_started_first_rows_jobs, connect_to_queue +from libqueue.queue import Queue, connect_to_queue @@ -9,0 +10 @@ from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL +from admin.utils import JobType @@ -15 +16 @@ if __name__ == "__main__": - cancel_started_first_rows_jobs() + Queue(type=JobType.FIRST_ROWS.value).cancel_started_jobs() diff --git a/services/admin/src/admin/scripts/cancel_jobs_splits.py b/services/admin/src/admin/scripts/cancel_jobs_splits.py index 85781bbc..5b83a1d9 100644 --- a/services/admin/src/admin/scripts/cancel_jobs_splits.py +++ b/services/admin/src/admin/scripts/cancel_jobs_splits.py @@ -6 +6 @@ import logging -from libqueue.queue import cancel_started_splits_jobs, connect_to_queue +from libqueue.queue import Queue, connect_to_queue @@ -9,0 +10 @@ from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL +from admin.utils import JobType @@ -15 +16 @@ if __name__ == "__main__": - cancel_started_splits_jobs() + Queue(type=JobType.SPLITS.value).cancel_started_jobs() diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index c54991f4..ad196f97 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -8 +8 @@ from huggingface_hub.hf_api import HfApi # type: ignore -from libqueue.queue import add_splits_job, connect_to_queue +from libqueue.queue import Queue, connect_to_queue @@ -11,0 +12 @@ from admin.config import HF_ENDPOINT, LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL +from admin.utils import JobType @@ -19,0 +21 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None: + splits_queue = Queue(type=JobType.SPLITS.value) @@ -23 +25 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None: - add_splits_job(dataset_name) + splits_queue.add_job(dataset=dataset_name) diff --git a/services/admin/src/admin/utils.py b/services/admin/src/admin/utils.py index 945c038c..61672e0e 100644 --- a/services/admin/src/admin/utils.py +++ b/services/admin/src/admin/utils.py @@ -3,0 +4 @@ +from enum import Enum @@ -94,0 +96,5 @@ Endpoint = Callable[[Request], Coroutine[Any, Any, Response]] + + +class JobType(Enum): + SPLITS = "/splits" + FIRST_ROWS = "/first-rows" diff --git a/services/admin/tests/fixtures/hub.py b/services/admin/tests/fixtures/hub.py index ad2771e9..d96dc435 100644 --- a/services/admin/tests/fixtures/hub.py +++ b/services/admin/tests/fixtures/hub.py @@ -16 +15,0 @@ from huggingface_hub.hf_api import ( # type: ignore - HfFolder, @@ -99,10 +97,0 @@ def update_repo_settings( [email protected] -def set_ci_hub_access_token() -> Iterable[None]: - _api = HfApi(endpoint=CI_HUB_ENDPOINT) - _api.set_access_token(CI_HUB_USER_API_TOKEN) - HfFolder.save_token(CI_HUB_USER_API_TOKEN) - yield - HfFolder.delete_token() - _api.unset_access_token() - - @@ -115,6 +104,2 @@ def hf_api(): -def hf_token(hf_api: HfApi) -> Iterable[str]: - hf_api.set_access_token(CI_HUB_USER_API_TOKEN) - HfFolder.save_token(CI_HUB_USER_API_TOKEN) - yield CI_HUB_USER_API_TOKEN - with suppress(requests.exceptions.HTTPError): - hf_api.unset_access_token() +def hf_token() -> str: + return CI_HUB_USER_API_TOKEN diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 70e47de1..c3d4f0c8 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -7,4 +7,2 @@ import pytest - -# from libcache.cache import clean_database as clean_cache_database -from libcache.simple_cache import _clean_database as clean_cache_database -from libqueue.queue import clean_database as clean_queue_database +from libcache.simple_cache import _clean_database as _clean_cache_database +from libqueue.queue import _clean_queue_database @@ -14,0 +13 @@ from admin.config import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE +from admin.utils import JobType @@ -32,2 +31,2 @@ def clean_mongo_databases() -> None: - clean_cache_database() - clean_queue_database() + _clean_cache_database() + _clean_queue_database() @@ -80,2 +79,2 @@ def test_metrics(client: TestClient) -> None: - assert 'queue_jobs_total{queue="/splits",status="started"}' in metrics - assert 'queue_jobs_total{queue="/first-rows",status="started"}' in metrics + for _, job_type in JobType.__members__.items(): + assert 'queue_jobs_total{queue="' + job_type.value + '",status="started"}' in metrics @@ -92,3 +91,2 @@ def test_pending_jobs(client: TestClient) -> None: - for e in ["/splits", "/first-rows"]: - assert json[e] == {"waiting": [], "started": []} - assert "created_at" in json + for _, job_type in JobType.__members__.items(): + assert json[job_type.value] == {"waiting": [], "started": []} diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 6f7e32ae..566702a1 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -323 +323 @@ name = "libqueue" -version = "0.2.0" +version = "0.3.1" @@ -336 +336 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.3.1-py3-none-any.whl" @@ -844 +844 @@ python-versions = "3.9.6" -content-hash = "a39c2f484e64872ac525ecedf254f1e71e570707a580cc8007bd38640f57e886" +content-hash = "a0dadf28310314e4d24d1993ebe7d65102b08dec8b768a4a068b2bc1bced9b51" @@ -995 +995 @@ libqueue = [ - {file = "libqueue-0.2.0-py3-none-any.whl", hash = "sha256:ec4d47a4b577528f4d414d32e9c8861ce42934c5a0bd362c70b17dd0d9dc5e16"}, + {file = "libqueue-0.3.1-py3-none-any.whl", hash = "sha256:bc8be8f0ffe1d82260269ce21f9814d3b083ac175f0eb6200ca84a791e427a5d"}, diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 4477f9a2..4b4bfd4e 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -12 +12 @@ libcache = { path = "../../libs/libcache/dist/libcache-0.2.1-py3-none-any.whl", -libqueue = { path = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl", develop = false } +libqueue = { path = "../../libs/libqueue/dist/libqueue-0.3.1-py3-none-any.whl", develop = false } diff --git a/services/api/src/api/dataset.py b/services/api/src/api/dataset.py index da48acd6..28561dd8 100644 --- a/services/api/src/api/dataset.py +++ b/services/api/src/api/dataset.py @@ -18,5 +18,3 @@ from libcache.simple_cache import ( -from libqueue.queue import ( - add_splits_job, - is_first_rows_response_in_process, - is_splits_response_in_process, -) +from libqueue.queue import Queue + +from api.utils import JobType @@ -25,0 +24,2 @@ logger = logging.getLogger(__name__) +splits_queue = Queue(type=JobType.SPLITS.value) + @@ -57 +57 @@ def update(dataset: str) -> None: - add_splits_job(dataset) + splits_queue.add_job(dataset=dataset) @@ -71 +71 @@ def is_splits_in_process( - if is_splits_response_in_process(dataset_name=dataset): + if splits_queue.is_job_in_process(dataset=dataset): @@ -82 +82 @@ def is_first_rows_in_process( - if is_first_rows_response_in_process(dataset_name=dataset, config_name=config, split_name=split): + if splits_queue.is_job_in_process(dataset=dataset, config=config, split=split): @@ -87 +87 @@ def is_first_rows_in_process( - if is_splits_response_in_process(dataset_name=dataset): + if splits_queue.is_job_in_process(dataset=dataset): diff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py index b5a35499..bc06a1aa 100644 --- a/services/api/src/api/utils.py +++ b/services/api/src/api/utils.py @@ -3,0 +4 @@ +from enum import Enum @@ -140,0 +142,5 @@ Endpoint = Callable[[Request], Coroutine[Any, Any, Response]] + + +class JobType(Enum): + SPLITS = "/splits" + FIRST_ROWS = "/first-rows" diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index a8e7476b..4148db95 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -9 +9 @@ import pytest -from libcache.simple_cache import _clean_database as clean_cache_database +from libcache.simple_cache import _clean_database as _clean_cache_database @@ -11,2 +11 @@ from libcache.simple_cache import upsert_first_rows_response, upsert_splits_resp -from libqueue.queue import clean_database as clean_queue_database -from libqueue.queue import is_splits_response_in_process +from libqueue.queue import Queue, _clean_queue_database @@ -17,0 +17 @@ from api.config import EXTERNAL_AUTH_URL, MONGO_CACHE_DATABASE, MONGO_QUEUE_DATA +from api.utils import JobType @@ -39,2 +39,5 @@ def clean_mongo_databases() -> None: - clean_cache_database() - clean_queue_database() + _clean_cache_database() + _clean_queue_database() + + +splits_queue = Queue(type=JobType.SPLITS.value) @@ -296 +299 @@ def test_webhook( - assert is_splits_response_in_process(dataset) is expected_is_updated + assert splits_queue.is_job_in_process(dataset=dataset) is expected_is_updated diff --git a/services/worker/Dockerfile b/services/worker/Dockerfile deleted file mode 100644 index 7306a4c7..00000000 --- a/services/worker/Dockerfile +++ /dev/null @@ -1,49 +0,0 @@ -# build with -# docker build -t some_tag_worker -f Dockerfile ../.. -FROM python:3.9.6-slim - -ENV PYTHONFAULTHANDLER=1 \ - PYTHONUNBUFFERED=1 \ - PYTHONHASHSEED=random \ - PIP_NO_CACHE_DIR=off \ - PIP_DISABLE_PIP_VERSION_CHECK=on \ - PIP_DEFAULT_TIMEOUT=100 \ - POETRY_NO_INTERACTION=1 \ - # Versions: - POETRY_VERSION=1.1.12 \ - POETRY_VIRTUALENVS_IN_PROJECT=true - -# System deps: -RUN apt-get update \ - && apt-get install -y build-essential unzip wget python3-dev make \ - libicu-dev ffmpeg libavcodec-extra llvm \ - && rm -rf /var/lib/apt/lists/* -# Also install `libsndfile` in version `v1.0.30`. As the version in ubuntu stable for the moment is `v1.0.28`, we can build from scratch (see details here: https://github.com/libsndfile/libsndfile) -RUN apt-get update \ - && apt-get install -y autoconf autogen automake build-essential libasound2-dev libflac-dev libogg-dev libtool libvorbis-dev libopus-dev libmp3lame-dev libmpg123-dev pkg-config git; -WORKDIR /tmp -RUN git clone --depth=1 --branch=v1.0.30 https://github.com/libsndfile/libsndfile.git; -WORKDIR /tmp/libsndfile; -RUN /tmp/libsndfile/autogen.sh; -RUN /tmp/libsndfile/configure --enable-werror; -RUN make; -RUN make install; -RUN ldconfig; -WORKDIR /tmp -RUN rm -rf /tmp/libsndfile - -RUN pip install -U --no-cache-dir pip -RUN pip install "poetry==$POETRY_VERSION" - -WORKDIR /src -COPY libs/libcache/dist ./libs/libcache/dist -COPY libs/libqueue/dist ./libs/libqueue/dist -COPY libs/libutils/dist ./libs/libutils/dist -COPY services/worker/src ./services/worker/src -COPY services/worker/poetry.lock ./services/worker/poetry.lock -COPY services/worker/pyproject.toml ./services/worker/pyproject.toml -COPY vendors ./vendors/ -WORKDIR /src/services/worker/ -RUN poetry install - -ENTRYPOINT ["poetry", "run", "python", "src/worker/main.py"] diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock deleted file mode 100644 index 72c4f59a..00000000 --- a/services/worker/poetry.lock +++ /dev/null @@ -1,4490 +0,0 @@ -[[package]] -name = "absl-py" -version = "1.1.0" -description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." -category = "main" -optional = false -python-versions = ">=3.6" - -[[package]] -name = "aiohttp" -version = "3.8.1" -description = "Async http client/server framework (asyncio)" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -aiosignal = ">=1.1.2" -async-timeout = ">=4.0.0a3,<5.0" -attrs = ">=17.3.0" -charset-normalizer = ">=2.0,<3.0" -frozenlist = ">=1.1.1" -multidict = ">=4.5,<7.0" -yarl = ">=1.0,<2.0" - -[package.extras] -speedups = ["aiodns", "brotli", "cchardet"] - -[[package]] -name = "aiosignal" -version = "1.2.0" -description = "aiosignal: a list of registered asynchronous callbacks" -category = "main" -optional = false -python-versions = ">=3.6" - 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EmptyQueue, - add_first_rows_job, - add_splits_job, - connect_to_queue, - finish_first_rows_job, - finish_splits_job, - get_first_rows_job, - get_splits_job, -) -from libutils.logger import init_logger -from psutil import cpu_count, getloadavg, swap_memory, virtual_memory - -from worker.config import ( - ASSETS_BASE_URL, - ASSETS_DIRECTORY, - HF_ENDPOINT, - HF_TOKEN, - LOG_LEVEL, - MAX_JOB_RETRIES, - MAX_JOBS_PER_DATASET, - MAX_LOAD_PCT, - MAX_MEMORY_PCT, - MAX_SIZE_FALLBACK, - MONGO_CACHE_DATABASE, - MONGO_QUEUE_DATABASE, - MONGO_URL, - ROWS_MAX_BYTES, - ROWS_MAX_NUMBER, - ROWS_MIN_NUMBER, - WORKER_QUEUE, - WORKER_SLEEP_SECONDS, -) -from worker.refresh import refresh_first_rows, refresh_splits - - -def process_next_splits_job() -> bool: - logger = logging.getLogger("datasets_server.worker") - logger.debug("try to process a splits/ job") - - try: - job_id, dataset, retries = get_splits_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset}") - except EmptyQueue: - logger.debug("no job in the queue") - return False - - success = False - retry = False - try: - logger.info(f"compute dataset={dataset}") - http_status, can_retry = refresh_splits(dataset=dataset, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN) - success = http_status == HTTPStatus.OK - if can_retry and retries < MAX_JOB_RETRIES: - retry = True - finally: - finish_splits_job(job_id, success=success) - result = "success" if success else "error" - logger.debug(f"job finished with {result}: {job_id} for dataset={dataset}") - if retry: - add_splits_job(dataset, retries=retries + 1) - logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset}") - return True - - -def process_next_first_rows_job() -> bool: - logger = logging.getLogger("datasets_server.worker") - logger.debug("try to process a first-rows job") - - try: - job_id, dataset, config, split, retries = get_first_rows_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset} config={config} split={split}") - except EmptyQueue: - logger.debug("no job in the queue") - return False - - success = False - retry = False - try: - logger.info(f"compute dataset={dataset} config={config} split={split}") - http_status, can_retry = refresh_first_rows( - dataset=dataset, - config=config, - split=split, - assets_base_url=ASSETS_BASE_URL, - hf_endpoint=HF_ENDPOINT, - hf_token=HF_TOKEN, - max_size_fallback=MAX_SIZE_FALLBACK, - rows_max_bytes=ROWS_MAX_BYTES, - rows_max_number=ROWS_MAX_NUMBER, - rows_min_number=ROWS_MIN_NUMBER, - ) - success = http_status == HTTPStatus.OK - if can_retry and retries < MAX_JOB_RETRIES: - retry = True - finally: - finish_first_rows_job(job_id, success=success) - result = "success" if success else "error" - logger.debug(f"job finished with {result}: {job_id} for dataset={dataset} config={config} split={split}") - if retry: - add_first_rows_job(dataset, config, split, retries=retries + 1) - logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset} config={config} split={split}") - return True - - -def process_next_job() -> bool: - if WORKER_QUEUE == "first_rows_responses": - return process_next_first_rows_job() - elif WORKER_QUEUE == "splits_responses": - return process_next_splits_job() - raise NotImplementedError(f"Job queue {WORKER_QUEUE} does not exist") - - -def has_memory() -> bool: - logger = logging.getLogger("datasets_server.worker") - if MAX_MEMORY_PCT <= 0: - return True - virtual_memory_used: int = virtual_memory().used # type: ignore - virtual_memory_total: int = virtual_memory().total # type: ignore - percent = (swap_memory().used + virtual_memory_used) / (swap_memory().total + virtual_memory_total) - ok = percent < MAX_MEMORY_PCT - if not ok: - logger.info(f"memory usage (RAM + SWAP) is too high: {percent:.0f}% - max is {MAX_MEMORY_PCT}%") - return ok - - -def has_cpu() -> bool: - logger = logging.getLogger("datasets_server.worker") - if MAX_LOAD_PCT <= 0: - return True - load_pct = max(getloadavg()[:2]) / cpu_count() * 100 - # ^ only current load and 5m load. 15m load is not relevant to decide to launch a new job - ok = load_pct < MAX_LOAD_PCT - if not ok: - logger.info(f"cpu load is too high: {load_pct:.0f}% - max is {MAX_LOAD_PCT}%") - return ok - - -def has_resources() -> bool: - return has_memory() and has_cpu() - - -def sleep() -> None: - logger = logging.getLogger("datasets_server.worker") - jitter = 0.75 + random.random() / 2 # nosec - # ^ between 0.75 and 1.25 - duration = WORKER_SLEEP_SECONDS * jitter - logger.debug(f"sleep during {duration:.2f} seconds") - time.sleep(duration) - - -def loop() -> None: - logger = logging.getLogger("datasets_server.worker") - try: - while True: - if has_resources() and process_next_job(): - # loop immediately to try another job - # see https://github.com/huggingface/datasets-server/issues/265 - continue - sleep() - except BaseException as e: - logger.critical(f"quit due to an uncaught error while processing the job: {e}") - raise - - -if __name__ == "__main__": - init_logger(LOG_LEVEL) - connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) - connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) - show_assets_dir(ASSETS_DIRECTORY) - loop() diff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py deleted file mode 100644 index d713415f..00000000 --- a/services/worker/src/worker/refresh.py +++ /dev/null @@ -1,136 +0,0 @@ -# SPDX-License-Identifier: Apache-2.0 -# Copyright 2022 The HuggingFace Authors. - -import logging -from http import HTTPStatus -from typing import Optional, Tuple - -from libcache.simple_cache import ( - delete_first_rows_responses, - get_dataset_first_rows_response_splits, - upsert_first_rows_response, - upsert_splits_response, -) -from libqueue.queue import add_first_rows_job - -from worker.responses.first_rows import get_first_rows_response -from worker.responses.splits import get_splits_response -from worker.utils import ( - ConfigNotFoundError, - DatasetNotFoundError, - SplitNotFoundError, - UnexpectedError, - WorkerCustomError, -) - -logger = logging.getLogger(__name__) - - -def refresh_splits(dataset: str, hf_endpoint: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]: - try: - response = get_splits_response(dataset, hf_endpoint, hf_token) - upsert_splits_response(dataset, dict(response), HTTPStatus.OK) - logger.debug(f"dataset={dataset} is valid, cache updated") - - splits_in_cache = get_dataset_first_rows_response_splits(dataset) - new_splits = [(s["dataset"], s["config"], s["split"]) for s in response["splits"]] - splits_to_delete = [s for s in splits_in_cache if s not in new_splits] - for d, c, s in splits_to_delete: - delete_first_rows_responses(d, c, s) - logger.debug( - f"{len(splits_to_delete)} 'first-rows' responses deleted from the cache for obsolete splits of" - f" dataset={dataset}" - ) - for d, c, s in new_splits: - add_first_rows_job(d, c, s) - logger.debug(f"{len(new_splits)} 'first-rows' jobs added for the splits of dataset={dataset}") - return HTTPStatus.OK, False - except DatasetNotFoundError as err: - logger.debug(f"the dataset={dataset} could not be found, don't update the cache") - return err.status_code, False - except WorkerCustomError as err: - upsert_splits_response( - dataset, - dict(err.as_response()), - err.status_code, - err.code, - dict(err.as_response_with_cause()), - ) - logger.debug(f"splits response for dataset={dataset} had an error, cache updated") - return err.status_code, False - except Exception as err: - e = UnexpectedError(str(err), err) - upsert_splits_response( - dataset, - dict(e.as_response()), - e.status_code, - e.code, - dict(e.as_response_with_cause()), - ) - logger.debug(f"splits response for dataset={dataset} had a server error, cache updated") - return e.status_code, True - - -def refresh_first_rows( - dataset: str, - config: str, - split: str, - assets_base_url: str, - hf_endpoint: str, - hf_token: Optional[str] = None, - max_size_fallback: Optional[int] = None, - rows_max_bytes: Optional[int] = None, - rows_max_number: Optional[int] = None, - rows_min_number: Optional[int] = None, -) -> Tuple[HTTPStatus, bool]: - try: - response = get_first_rows_response( - dataset, - config, - split, - assets_base_url=assets_base_url, - hf_endpoint=hf_endpoint, - hf_token=hf_token, - max_size_fallback=max_size_fallback, - rows_max_bytes=rows_max_bytes, - rows_max_number=rows_max_number, - rows_min_number=rows_min_number, - ) - upsert_first_rows_response(dataset, config, split, dict(response), HTTPStatus.OK) - logger.debug(f"dataset={dataset} config={config} split={split} is valid, cache updated") - return HTTPStatus.OK, False - except (DatasetNotFoundError, ConfigNotFoundError, SplitNotFoundError) as err: - logger.debug( - f"the dataset={dataset}, config {config} or split {split} could not be found, don't update the cache" - ) - return err.status_code, False - except WorkerCustomError as err: - upsert_first_rows_response( - dataset, - config, - split, - dict(err.as_response()), - err.status_code, - err.code, - dict(err.as_response_with_cause()), - ) - logger.debug( - f"first-rows response for dataset={dataset} config={config} split={split} had an error, cache updated" - ) - return err.status_code, False - except Exception as err: - e = UnexpectedError(str(err), err) - upsert_first_rows_response( - dataset, - config, - split, - dict(e.as_response()), - e.status_code, - e.code, - dict(e.as_response_with_cause()), - ) - logger.debug( - f"first-rows response for dataset={dataset} config={config} split={split} had a server" - " error, cache updated" - ) - return e.status_code, True diff --git a/services/worker/tests/test_main.py b/services/worker/tests/test_main.py deleted file mode 100644 index f36d90f5..00000000 --- a/services/worker/tests/test_main.py +++ /dev/null @@ -1,49 +0,0 @@ -# SPDX-License-Identifier: Apache-2.0 -# Copyright 2022 The HuggingFace Authors. - -import pytest -from libcache.simple_cache import _clean_database as clean_cache_database -from libcache.simple_cache import connect_to_cache -from libqueue.queue import add_first_rows_job, add_splits_job -from libqueue.queue import clean_database as clean_queue_database -from libqueue.queue import connect_to_queue - -from worker.main import process_next_first_rows_job, process_next_splits_job - -from .utils import ( - MONGO_CACHE_DATABASE, - MONGO_QUEUE_DATABASE, - MONGO_URL, - get_default_config_split, -) - - [email protected](autouse=True, scope="module") -def safe_guard() -> None: - if "test" not in MONGO_CACHE_DATABASE: - raise ValueError("Test must be launched on a test mongo database") - - [email protected](autouse=True, scope="module") -def client() -> None: - connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) - connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) - - [email protected](autouse=True) -def clean_mongo_database() -> None: - clean_cache_database() - clean_queue_database() - - -def test_process_next_splits_job(hub_public_csv: str) -> None: - add_splits_job(hub_public_csv) - result = process_next_splits_job() - assert result is True - - -def test_process_next_first_rows_job(hub_public_csv: str) -> None: - dataset, config, split = get_default_config_split(hub_public_csv) - add_first_rows_job(dataset, config, split) - result = process_next_first_rows_job() - assert result is True diff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py deleted file mode 100644 index 61fa8350..00000000 --- a/services/worker/tests/test_refresh.py +++ /dev/null @@ -1,87 +0,0 @@ -# SPDX-License-Identifier: Apache-2.0 -# Copyright 2022 The HuggingFace Authors. - -from http import HTTPStatus - -import pytest -from libcache.simple_cache import DoesNotExist -from libcache.simple_cache import _clean_database as clean_cache_database -from libcache.simple_cache import ( - connect_to_cache, - get_first_rows_response, - get_splits_response, -) -from libqueue.queue import clean_database as clean_queue_database -from libqueue.queue import connect_to_queue - -from worker.refresh import refresh_first_rows, refresh_splits - -from .fixtures.files import DATA -from .utils import ( - ASSETS_BASE_URL, - HF_ENDPOINT, - MONGO_CACHE_DATABASE, - MONGO_QUEUE_DATABASE, - MONGO_URL, - ROWS_MAX_NUMBER, - get_default_config_split, -) - - [email protected](autouse=True, scope="module") -def safe_guard() -> None: - if "test" not in MONGO_CACHE_DATABASE: - raise ValueError("Test must be launched on a test mongo database") - - [email protected](autouse=True, scope="module") -def client() -> None: - connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) - connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) - - [email protected](autouse=True) -def clean_mongo_database() -> None: - clean_cache_database() - clean_queue_database() - - -def test_doesnotexist() -> None: - dataset_name = "doesnotexist" - assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.NOT_FOUND, False) - with pytest.raises(DoesNotExist): - get_splits_response(dataset_name) - dataset, config, split = get_default_config_split(dataset_name) - assert refresh_first_rows(dataset, config, split, ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT) == ( - HTTPStatus.NOT_FOUND, - False, - ) - with pytest.raises(DoesNotExist): - get_first_rows_response(dataset, config, split) - - -def test_refresh_splits(hub_public_csv: str) -> None: - assert refresh_splits(hub_public_csv, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) - response, _, _ = get_splits_response(hub_public_csv) - assert len(response["splits"]) == 1 - assert response["splits"][0]["num_bytes"] is None - assert response["splits"][0]["num_examples"] is None - - -def test_refresh_first_rows(hub_public_csv: str) -> None: - dataset, config, split = get_default_config_split(hub_public_csv) - http_status, _ = refresh_first_rows(dataset, config, split, ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT) - response, cached_http_status, error_code = get_first_rows_response(dataset, config, split) - assert http_status == HTTPStatus.OK - assert cached_http_status == HTTPStatus.OK - assert error_code is None - assert response["features"][0]["feature_idx"] == 0 - assert response["features"][0]["name"] == "col_1" - assert response["features"][0]["type"]["_type"] == "Value" - assert response["features"][0]["type"]["dtype"] == "int64" # <---| - assert response["features"][1]["type"]["dtype"] == "int64" # <---|- auto-detected by the datasets library - assert response["features"][2]["type"]["dtype"] == "float64" # <-| - - assert len(response["rows"]) == min(len(DATA), ROWS_MAX_NUMBER) - assert response["rows"][0]["row_idx"] == 0 - assert response["rows"][0]["row"] == {"col_1": 0, "col_2": 0, "col_3": 0.0} diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index 42efb6e9..5394c13b 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -49 +49 @@ services: - dockerfile: ./services/worker/Dockerfile + dockerfile: ./workers/splits/Dockerfile @@ -51 +50,0 @@ services: - - assets:/assets:rw @@ -54,2 +52,0 @@ services: - ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" - ASSETS_DIRECTORY: "/assets" @@ -60 +56,0 @@ services: - WORKER_QUEUE: "splits_responses" @@ -68 +64 @@ services: - dockerfile: ./services/worker/Dockerfile + dockerfile: ./workers/first_rows/Dockerfile @@ -79 +74,0 @@ services: - WORKER_QUEUE: "first_rows_responses" diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index deedb146..2e75aa35 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -48 +47,0 @@ services: - - assets:/assets:rw @@ -51,2 +49,0 @@ services: - ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" - ASSETS_DIRECTORY: "/assets" @@ -57 +53,0 @@ services: - ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100} @@ -59 +54,0 @@ services: - WORKER_QUEUE: "splits_responses" @@ -77 +71,0 @@ services: - WORKER_QUEUE: "first_rows_responses" diff --git a/services/worker/.flake8 b/workers/first_rows/.flake8 similarity index 100% rename from services/worker/.flake8 rename to workers/first_rows/.flake8 diff --git a/services/worker/.python-version b/workers/first_rows/.python-version similarity index 100% rename from services/worker/.python-version rename to workers/first_rows/.python-version diff --git a/workers/first_rows/Dockerfile b/workers/first_rows/Dockerfile new file mode 100644 index 00000000..18853f9d --- /dev/null +++ b/workers/first_rows/Dockerfile @@ -0,0 +1,36 @@ +# build with +# docker build -t some_tag_worker -f Dockerfile ../.. +FROM python:3.9.6-slim + +ENV PYTHONFAULTHANDLER=1 \ + PYTHONUNBUFFERED=1 \ + PYTHONHASHSEED=random \ + PIP_NO_CACHE_DIR=off \ + PIP_DISABLE_PIP_VERSION_CHECK=on \ + PIP_DEFAULT_TIMEOUT=100 \ + POETRY_NO_INTERACTION=1 \ + # Versions: + POETRY_VERSION=1.1.12 \ + POETRY_VIRTUALENVS_IN_PROJECT=true + +# System deps: +RUN apt-get update \ + && apt-get install -y build-essential unzip wget python3-dev make \ + libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm pkg-config \ + && rm -rf /var/lib/apt/lists/* + +RUN pip install -U --no-cache-dir pip +RUN pip install "poetry==$POETRY_VERSION" + +WORKDIR /src +COPY libs/libcache/dist ./libs/libcache/dist +COPY libs/libqueue/dist ./libs/libqueue/dist +COPY libs/libutils/dist ./libs/libutils/dist +COPY workers/first_rows/src ./workers/first_rows/src +COPY workers/first_rows/poetry.lock ./workers/first_rows/poetry.lock +COPY workers/first_rows/pyproject.toml ./workers/first_rows/pyproject.toml +COPY vendors ./vendors/ +WORKDIR /src/workers/first_rows/ +RUN poetry install + +ENTRYPOINT ["poetry", "run", "python", "src/first_rows/main.py"] diff --git a/workers/first_rows/Makefile b/workers/first_rows/Makefile new file mode 100644 index 00000000..0ce2c3d8 --- /dev/null +++ b/workers/first_rows/Makefile @@ -0,0 +1,19 @@ +# environment variables for the commands (docker-compose, poetry) +export TEST_MONGO_PORT := 27041 +export TEST_MONGO_CACHE_DATABASE := datasets_server_cache_test +export TEST_MONGO_QUEUE_DATABASE := datasets_server_queue_test +export TEST_ROWS_MAX_NUMBER := 5 +export TEST_COMPOSE_PROJECT_NAME := first_rows +export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co +export TEST_HF_TOKEN := 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 +# makefile variables +TEST_DOCKER_COMPOSE := ../../tools/docker-compose-mongo.yml +#SAFETY_EXCEPTIONS := + +# Ensure to specify HF_TOKEN when calling make test, ie HF_TOKEN=hf_app_xxx make test +include ../../tools/Python.mk +include ../../tools/Docker.mk + +.PHONY: run +run: + poetry run python src/first_rows/main.py diff --git a/services/worker/README.md b/workers/first_rows/README.md similarity index 83% rename from services/worker/README.md rename to workers/first_rows/README.md index 385ed6e5..11ecb37e 100644 --- a/services/worker/README.md +++ b/workers/first_rows/README.md @@ -1 +1 @@ -# Datasets server - worker +# Datasets server - first_rows @@ -3 +3 @@ -> Worker to pre-process datasets and splits +> Worker that pre-computes and caches the response to /first-rows @@ -17 +16,0 @@ Set environment variables to configure the following aspects: -- `MAX_JOB_RETRIES`: the maximum number of job retries (for uncaught errors, such as RAM shortage) for the same job. The job is re-enqueued if an unexpected server error occurred and if its "retries" number is under `MAX_JOB_RETRIES`. Defaults to 3. @@ -30 +28,0 @@ Set environment variables to configure the following aspects: -- `WORKER_QUEUE`: name of the queue the worker will pull jobs from. It can be equal to `splits_responses` or `first_rows_responses`. The `splits_responses` jobs should be a lot faster than the `first_rows_responses` ones, so that we should need a lot more workers for `first_rows_responses` than for `splits_responses`. Defaults to `splits_responses`. diff --git a/workers/first_rows/poetry.lock b/workers/first_rows/poetry.lock new file mode 100644 index 00000000..f5be04d1 --- /dev/null +++ b/workers/first_rows/poetry.lock @@ -0,0 +1,3376 @@ +[[package]] +name = "absl-py" +version = "1.3.0" +description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "aiohttp" +version = "3.8.3" +description = "Async http client/server framework (asyncio)" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +aiosignal = ">=1.1.2" +async-timeout = ">=4.0.0a3,<5.0" +attrs = ">=17.3.0" +charset-normalizer = ">=2.0,<3.0" +frozenlist = ">=1.1.1" +multidict = ">=4.5,<7.0" +yarl = ">=1.0,<2.0" + +[package.extras] +speedups = ["aiodns", "brotli", "cchardet"] + +[[package]] +name = "aiosignal" +version = "1.2.0" +description = "aiosignal: a list of registered asynchronous callbacks" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +frozenlist = ">=1.1.0" + +[[package]] +name = "anyio" +version = "3.6.1" +description = "High level compatibility layer for multiple asynchronous event loop implementations" +category = "main" +optional = false +python-versions = ">=3.6.2" + +[package.dependencies] +idna = ">=2.8" +sniffio = ">=1.1" + +[package.extras] +doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"] +test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] +trio = ["trio (>=0.16)"] + +[[package]] +name = "apache-beam" +version = "2.41.0" +description = "Apache Beam SDK for Python" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +cloudpickle = ">=2.1.0,<3" +crcmod = ">=1.7,<2.0" +dill = ">=0.3.1.1,<0.3.2" +fastavro = ">=0.23.6,<2" +grpcio = ">=1.33.1,<2" +hdfs = ">=2.1.0,<3.0.0" +httplib2 = ">=0.8,<0.21.0" +numpy = ">=1.14.3,<1.23.0" +orjson = "<4.0" +proto-plus = ">=1.7.1,<2" +protobuf = ">=3.12.2,<4" +pyarrow = ">=0.15.1,<8.0.0" +pydot = ">=1.2.0,<2" +pymongo = ">=3.8.0,<4.0.0" +python-dateutil = ">=2.8.0,<3" +pytz = ">=2018.3" +requests = ">=2.24.0,<3.0.0" +typing-extensions = ">=3.7.0" + +[package.extras] +aws = ["boto3 (>=1.9)"] +azure = ["azure-storage-blob (>=12.3.2)", "azure-core (>=1.7.0)"] +dataframe = ["pandas (>=1.0,<1.5)"] +docs = ["Sphinx (>=1.5.2,<2.0)", "docutils (==0.17.1)"] +gcp = ["cachetools (>=3.1.0,<5)", "google-apitools (>=0.5.31,<0.5.32)", "google-api-core (!=2.8.2,<3)", "google-auth (>=1.18.0,<3)", "google-auth-httplib2 (>=0.1.0,<0.2.0)", "google-cloud-datastore (>=1.8.0,<2)", "google-cloud-pubsub (>=2.1.0,<3)", "google-cloud-pubsublite (>=1.2.0,<2)", "google-cloud-bigquery (>=1.6.0,<3)", "google-cloud-bigquery-storage (>=2.6.3,<2.14)", "google-cloud-core (>=0.28.1,<3)", "google-cloud-bigtable (>=0.31.1,<2)", "google-cloud-spanner (>=1.13.0,<2)", "grpcio-gcp (>=0.2.2,<1)", "google-cloud-dlp (>=3.0.0,<4)", "google-cloud-language (>=1.3.0,<2)", "google-cloud-videointelligence (>=1.8.0,<2)", "google-cloud-vision (>=0.38.0,<2)", "google-cloud-recommendations-ai (>=0.1.0,<0.8.0)"] +interactive = ["facets-overview (>=1.0.0,<2)", "google-cloud-dataproc (>=3.0.0,<3.2.0)", "ipykernel (>=6,<7)", "ipywidgets (>=7.6.5,<8)", "jupyter-client (>=6.1.11,<6.1.13)", "timeloop (>=1.0.2,<2)", "ipython (>=7,<8)", "ipython (>=8,<9)"] +interactive_test = ["nbformat (>=5.0.5,<6)", "nbconvert (>=6.2.0,<7)", "needle (>=0.5.0,<1)", "chromedriver-binary (>=100,<101)", "pillow (>=7.1.1,<8)"] +test = ["freezegun (>=0.3.12)", "joblib (>=1.0.1)", "mock (>=1.0.1,<3.0.0)", "pandas (<2.0.0)", "parameterized (>=0.7.1,<0.9.0)", "pyhamcrest (>=1.9,!=1.10.0,<2.0.0)", "pyyaml (>=3.12,<7.0.0)", "requests-mock (>=1.7,<2.0)", "tenacity (>=5.0.2,<6.0)", "pytest (>=4.4.0,<5.0)", "pytest-xdist 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!=3.2.*, !=3.3.*" + +[[package]] +name = "attrs" +version = "22.1.0" +description = "Classes Without Boilerplate" +category = "main" +optional = false +python-versions = ">=3.5" + +[package.extras] +dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit", "cloudpickle"] +docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"] +tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "zope.interface", "cloudpickle"] +tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "mypy (>=0.900,!=0.940)", "pytest-mypy-plugins", "cloudpickle"] + +[[package]] +name = "audioread" +version = "3.0.0" +description = "multi-library, cross-platform audio decoding" +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] 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= false +python-versions = ">=3.7" + +[package.dependencies] +click = ">=8.0.0" +mypy-extensions = ">=0.4.3" +pathspec = ">=0.9.0" +platformdirs = ">=2" +tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""} +typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""} + +[package.extras] +colorama = ["colorama (>=0.4.3)"] +d = ["aiohttp (>=3.7.4)"] +jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] +uvloop = ["uvloop (>=0.15.2)"] + +[[package]] +name = "brotli" +version = "1.0.9" +description = "Python bindings for the Brotli compression library" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "brotlicffi" +version = "1.0.9.2" +description = "Python CFFI bindings to the Brotli library" +category = "main" +optional = false +python-versions = "*" + +[package.dependencies] +cffi = ">=1.0.0" + +[[package]] +name = "bs4" +version = "0.0.1" +description = "Dummy package for Beautiful Soup" +category = 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similarity index 100% rename from services/worker/poetry.toml rename to workers/first_rows/poetry.toml diff --git a/workers/first_rows/pyproject.toml b/workers/first_rows/pyproject.toml new file mode 100644 index 00000000..017c5c72 --- /dev/null +++ b/workers/first_rows/pyproject.toml @@ -0,0 +1,84 @@ +[tool.poetry] +authors = ["Sylvain Lesage <[email protected]>"] +description = "Worker that pre-computes and caches the response to /first-rows" +name = "first_rows" +version = "0.0.1" +license = "Apache-2.0" + +[tool.poetry.dependencies] +Pillow = "^9.0.0" +PyICU = "^2.7.4" +aiohttp = "^3.7.4.post0" +apache-beam = "2.41.0" # ^2 gives a InvalidWheelName error because it tries to install 2.42 that has not been released... +bs4 = "^0.0.1" +conllu = "^4.4.1" +datasets = { extras = ["audio", "vision"], version = "^2.6.0" } +gdown = "^4.2.0" +kenlm = { url = "https://github.com/kpu/kenlm/archive/master.zip" } +kss = "^2.6.0" +libcache = { path = 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+types-requests = "^2.28.11" + +[build-system] +build-backend = "poetry.core.masonry.api" +requires = ["poetry-core>=1.0.0"] + +[tool.pytest.ini_options] +addopts = "-k 'not deprecated'" +filterwarnings = ["ignore::DeprecationWarning"] +markers = [ + "deprecated: tests on deprecated code (deselect with '-m \"not deprecated\"')", + "real_dataset: tests on real datasets (from the Hub)", + "wip: tests being developed" +] + +[tool.coverage.run] +source = ["first_rows"] + +[tool.isort] +profile = "black" + +[tool.black] +line-length = 119 +preview = true + +[tool.mypy] +exclude = 'vendors' +strict = true + +[[tool.mypy.overrides]] +# could be solved in datasets by adding __add__ to the __init__.py file +implicit_reexport = true +module = "datasets" diff --git a/services/worker/src/worker/__init__.py b/workers/first_rows/src/first_rows/__init__.py similarity index 100% rename from services/worker/src/worker/__init__.py rename to workers/first_rows/src/first_rows/__init__.py diff --git a/services/worker/src/worker/asset.py b/workers/first_rows/src/first_rows/asset.py similarity index 98% rename from services/worker/src/worker/asset.py rename to workers/first_rows/src/first_rows/asset.py index 1350471b..335bbc17 100644 --- a/services/worker/src/worker/asset.py +++ b/workers/first_rows/src/first_rows/asset.py @@ -15 +15 @@ from pydub import AudioSegment # type:ignore -from worker.config import ASSETS_DIRECTORY +from first_rows.config import ASSETS_DIRECTORY diff --git a/services/worker/src/worker/config.py b/workers/first_rows/src/first_rows/config.py similarity index 92% rename from services/worker/src/worker/config.py rename to workers/first_rows/src/first_rows/config.py index b0b74a62..bc8f7893 100644 --- a/services/worker/src/worker/config.py +++ b/workers/first_rows/src/first_rows/config.py @@ -10 +10 @@ from libutils.utils import get_int_value, get_str_or_none_value, get_str_value -from worker.constants import ( +from first_rows.constants import ( @@ -17 +16,0 @@ from worker.constants import ( - DEFAULT_MAX_JOB_RETRIES, @@ -29 +27,0 @@ from worker.constants import ( - DEFAULT_WORKER_QUEUE, @@ -39 +36,0 @@ LOG_LEVEL = get_str_value(d=os.environ, key="LOG_LEVEL", default=DEFAULT_LOG_LEV -MAX_JOB_RETRIES = get_int_value(os.environ, "MAX_JOB_RETRIES", DEFAULT_MAX_JOB_RETRIES) @@ -51 +47,0 @@ ROWS_MIN_NUMBER = get_int_value(os.environ, "ROWS_MIN_NUMBER", DEFAULT_ROWS_MIN_ -WORKER_QUEUE = get_str_value(os.environ, "WORKER_QUEUE", DEFAULT_WORKER_QUEUE) diff --git a/services/worker/src/worker/constants.py b/workers/first_rows/src/first_rows/constants.py similarity index 91% rename from services/worker/src/worker/constants.py rename to workers/first_rows/src/first_rows/constants.py index 3fd2224a..a1a8c612 100644 --- a/services/worker/src/worker/constants.py +++ b/workers/first_rows/src/first_rows/constants.py @@ -12 +11,0 @@ DEFAULT_LOG_LEVEL: str = "INFO" -DEFAULT_MAX_JOB_RETRIES: int = 3 @@ -25 +23,0 @@ DEFAULT_WORKER_SLEEP_SECONDS: int = 15 -DEFAULT_WORKER_QUEUE: str = "splits_responses" diff --git a/services/worker/src/worker/features.py b/workers/first_rows/src/first_rows/features.py similarity index 99% rename from services/worker/src/worker/features.py rename to workers/first_rows/src/first_rows/features.py index a63e7920..413f6adf 100644 --- a/services/worker/src/worker/features.py +++ b/workers/first_rows/src/first_rows/features.py @@ -24 +24 @@ from PIL import Image as PILImage # type: ignore -from worker.asset import create_audio_files, create_image_file +from first_rows.asset import create_audio_files, create_image_file diff --git a/workers/first_rows/src/first_rows/main.py b/workers/first_rows/src/first_rows/main.py new file mode 100644 index 00000000..129923dd --- /dev/null +++ b/workers/first_rows/src/first_rows/main.py @@ -0,0 +1,46 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from libcache.asset import show_assets_dir +from libcache.simple_cache import connect_to_cache +from libqueue.queue import connect_to_queue +from libutils.logger import init_logger + +from first_rows.config import ( + ASSETS_BASE_URL, + ASSETS_DIRECTORY, + HF_ENDPOINT, + HF_TOKEN, + LOG_LEVEL, + MAX_JOBS_PER_DATASET, + MAX_LOAD_PCT, + MAX_MEMORY_PCT, + MAX_SIZE_FALLBACK, + MONGO_CACHE_DATABASE, + MONGO_QUEUE_DATABASE, + MONGO_URL, + ROWS_MAX_BYTES, + ROWS_MAX_NUMBER, + ROWS_MIN_NUMBER, + WORKER_SLEEP_SECONDS, +) +from first_rows.worker import FirstRowsWorker + +if __name__ == "__main__": + init_logger(LOG_LEVEL) + connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) + show_assets_dir(ASSETS_DIRECTORY) + FirstRowsWorker( + assets_base_url=ASSETS_BASE_URL, + hf_endpoint=HF_ENDPOINT, + hf_token=HF_TOKEN, + max_size_fallback=MAX_SIZE_FALLBACK, + rows_max_bytes=ROWS_MAX_BYTES, + rows_max_number=ROWS_MAX_NUMBER, + rows_min_number=ROWS_MIN_NUMBER, + max_jobs_per_dataset=MAX_JOBS_PER_DATASET, + max_load_pct=MAX_LOAD_PCT, + max_memory_pct=MAX_MEMORY_PCT, + sleep_seconds=WORKER_SLEEP_SECONDS, + ).loop() diff --git a/services/worker/src/worker/py.typed b/workers/first_rows/src/first_rows/py.typed similarity index 100% rename from services/worker/src/worker/py.typed rename to workers/first_rows/src/first_rows/py.typed diff --git a/services/worker/src/worker/responses/first_rows.py b/workers/first_rows/src/first_rows/response.py similarity index 88% rename from services/worker/src/worker/responses/first_rows.py rename to workers/first_rows/src/first_rows/response.py index 92f0c63a..d450b0b0 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/workers/first_rows/src/first_rows/response.py @@ -13,0 +14,2 @@ from datasets import ( + get_dataset_config_names, + get_dataset_split_names, @@ -15,0 +18,2 @@ from datasets import ( +from datasets.data_files import EmptyDatasetError as _EmptyDatasetError +from huggingface_hub.hf_api import HfApi, RepositoryNotFoundError # type: ignore @@ -18,5 +22,4 @@ from libutils.utils import orjson_dumps -from worker.config import MIN_CELL_BYTES -from worker.constants import DEFAULT_ROWS_MAX_BYTES, DEFAULT_ROWS_MAX_NUMBER -from worker.features import get_cell_value -from worker.responses.splits import get_splits_response -from worker.utils import ( +from first_rows.config import MIN_CELL_BYTES +from first_rows.constants import DEFAULT_ROWS_MAX_BYTES, DEFAULT_ROWS_MAX_NUMBER +from first_rows.features import get_cell_value +from first_rows.utils import ( @@ -23,0 +27,2 @@ from worker.utils import ( + DatasetNotFoundError, + EmptyDatasetError, @@ -28,0 +34 @@ from worker.utils import ( + SplitsNamesError, @@ -228,0 +235,15 @@ def to_features_list(dataset: str, config: str, split: str, features: Features) +class SplitFullName(TypedDict): + dataset: str + config: str + split: str + + +def get_dataset_split_full_names(dataset: str, use_auth_token: Union[bool, str, None] = False) -> List[SplitFullName]: + logger.info(f"get dataset '{dataset}' split full names") + return [ + {"dataset": dataset, "config": config, "split": split} + for config in get_dataset_config_names(dataset, use_auth_token=use_auth_token) + for split in get_dataset_split_names(dataset, config, use_auth_token=use_auth_token) + ] + + @@ -299 +320,11 @@ def get_first_rows_response( - splits_response = get_splits_response(dataset, hf_endpoint, hf_token) + try: + HfApi(endpoint=hf_endpoint).dataset_info(dataset, use_auth_token=use_auth_token) + except RepositoryNotFoundError as err: + raise DatasetNotFoundError("The dataset does not exist on the Hub.") from err + # get the list of splits + try: + split_full_names = get_dataset_split_full_names(dataset, use_auth_token) + except _EmptyDatasetError as err: + raise EmptyDatasetError("The dataset is empty.", cause=err) from err + except Exception as err: + raise SplitsNamesError("Cannot get the split names for the dataset.", cause=err) from err @@ -301 +332 @@ def get_first_rows_response( - if config not in [split_item["config"] for split_item in splits_response["splits"]]: + if config not in [split_full_name["config"] for split_full_name in split_full_names]: @@ -305,3 +336,3 @@ def get_first_rows_response( - "dataset": split_item["dataset"], - "config": split_item["config"], - "split": split_item["split"], + "dataset": split_full_name["dataset"], + "config": split_full_name["config"], + "split": split_full_name["split"], @@ -309 +340 @@ def get_first_rows_response( - for split_item in splits_response["splits"] + for split_full_name in split_full_names diff --git a/services/worker/src/worker/utils.py b/workers/first_rows/src/first_rows/utils.py similarity index 91% rename from services/worker/src/worker/utils.py rename to workers/first_rows/src/first_rows/utils.py index e0d1e628..660d0d29 100644 --- a/services/worker/src/worker/utils.py +++ b/workers/first_rows/src/first_rows/utils.py @@ -5,0 +6 @@ import time +from enum import Enum @@ -9,0 +11 @@ from typing import Literal, Optional +from libqueue.queue import Queue @@ -143,0 +146,14 @@ def retry(logger: Logger): + + +class JobType(Enum): + SPLITS = "/splits" + FIRST_ROWS = "/first-rows" + + +class Queues: + splits: Queue + first_rows: Queue + + def __init__(self, max_jobs_per_dataset: Optional[int] = None): + self.splits = Queue(type=JobType.SPLITS.value, max_jobs_per_dataset=max_jobs_per_dataset) + self.first_rows = Queue(type=JobType.FIRST_ROWS.value, max_jobs_per_dataset=max_jobs_per_dataset) diff --git a/workers/first_rows/src/first_rows/worker.py b/workers/first_rows/src/first_rows/worker.py new file mode 100644 index 00000000..7571c9c4 --- /dev/null +++ b/workers/first_rows/src/first_rows/worker.py @@ -0,0 +1,123 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import logging +from http import HTTPStatus +from typing import Optional + +from libcache.simple_cache import upsert_first_rows_response +from libqueue.worker import Worker + +from first_rows.response import get_first_rows_response +from first_rows.utils import ( + ConfigNotFoundError, + DatasetNotFoundError, + Queues, + SplitNotFoundError, + UnexpectedError, + WorkerCustomError, +) + +logger = logging.getLogger(__name__) + + +class FirstRowsWorker(Worker): + assets_base_url: str + hf_endpoint: str + hf_token: Optional[str] + max_size_fallback: Optional[int] + rows_max_bytes: Optional[int] + rows_max_number: Optional[int] + rows_min_number: Optional[int] + + def __init__( + self, + assets_base_url: str, + hf_endpoint: str, + hf_token: Optional[str] = None, + max_size_fallback: Optional[int] = None, + rows_max_bytes: Optional[int] = None, + rows_max_number: Optional[int] = None, + rows_min_number: Optional[int] = None, + max_jobs_per_dataset: Optional[int] = None, + sleep_seconds: Optional[int] = None, + max_memory_pct: Optional[int] = None, + max_load_pct: Optional[int] = None, + ): + super().__init__( + sleep_seconds=sleep_seconds, + max_memory_pct=max_memory_pct, + max_load_pct=max_load_pct, + ) + self._queues = Queues(max_jobs_per_dataset=max_jobs_per_dataset) + self.assets_base_url = assets_base_url + self.hf_endpoint = hf_endpoint + self.hf_token = hf_token + self.max_size_fallback = max_size_fallback + self.rows_max_bytes = rows_max_bytes + self.rows_max_number = rows_max_number + self.rows_min_number = rows_min_number + + @property + def queue(self): + return self._queues.first_rows + + def compute( + self, + dataset: str, + config: Optional[str] = None, + split: Optional[str] = None, + ) -> bool: + if config is None or split is None: + raise ValueError("config and split are required") + try: + response = get_first_rows_response( + dataset, + config, + split, + assets_base_url=self.assets_base_url, + hf_endpoint=self.hf_endpoint, + hf_token=self.hf_token, + max_size_fallback=self.max_size_fallback, + rows_max_bytes=self.rows_max_bytes, + rows_max_number=self.rows_max_number, + rows_min_number=self.rows_min_number, + ) + upsert_first_rows_response(dataset, config, split, dict(response), HTTPStatus.OK) + logger.debug(f"dataset={dataset} config={config} split={split} is valid, cache updated") + return True + except (DatasetNotFoundError, ConfigNotFoundError, SplitNotFoundError): + logger.debug( + f"the dataset={dataset}, config {config} or split {split} could not be found, don't update the cache" + ) + return False + except WorkerCustomError as err: + upsert_first_rows_response( + dataset, + config, + split, + dict(err.as_response()), + err.status_code, + err.code, + dict(err.as_response_with_cause()), + ) + logger.debug( + f"first-rows response for dataset={dataset} config={config} split={split} had an error, cache updated" + ) + return False + except Exception as err: + e = UnexpectedError(str(err), err) + upsert_first_rows_response( + dataset, + config, + split, + dict(e.as_response()), + e.status_code, + e.code, + dict(e.as_response_with_cause()), + ) + logger.debug( + f"first-rows response for dataset={dataset} config={config} split={split} had a server" + " error, cache updated" + ) + return False diff --git a/services/worker/src/worker/responses/__init__.py b/workers/first_rows/tests/__init__.py similarity index 100% rename from services/worker/src/worker/responses/__init__.py rename to workers/first_rows/tests/__init__.py diff --git a/services/worker/tests/conftest.py b/workers/first_rows/tests/conftest.py similarity index 100% rename from services/worker/tests/conftest.py rename to workers/first_rows/tests/conftest.py diff --git a/services/worker/tests/__init__.py b/workers/first_rows/tests/fixtures/__init__.py similarity index 100% rename from services/worker/tests/__init__.py rename to workers/first_rows/tests/fixtures/__init__.py diff --git a/services/worker/tests/fixtures/data/test_image_rgb.jpg b/workers/first_rows/tests/fixtures/data/test_image_rgb.jpg similarity index 100% rename from services/worker/tests/fixtures/data/test_image_rgb.jpg rename to workers/first_rows/tests/fixtures/data/test_image_rgb.jpg diff --git a/services/worker/tests/fixtures/datasets.py b/workers/first_rows/tests/fixtures/datasets.py similarity index 100% rename from services/worker/tests/fixtures/datasets.py rename to workers/first_rows/tests/fixtures/datasets.py diff --git a/services/worker/tests/fixtures/files.py b/workers/first_rows/tests/fixtures/files.py similarity index 100% rename from services/worker/tests/fixtures/files.py rename to workers/first_rows/tests/fixtures/files.py diff --git a/services/worker/tests/fixtures/hub.py b/workers/first_rows/tests/fixtures/hub.py similarity index 92% rename from services/worker/tests/fixtures/hub.py rename to workers/first_rows/tests/fixtures/hub.py index 0cd97628..019f81f1 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/workers/first_rows/tests/fixtures/hub.py @@ -18 +17,0 @@ from huggingface_hub.hf_api import ( # type: ignore - HfFolder, @@ -101,10 +99,0 @@ def update_repo_settings( [email protected] -def set_ci_hub_access_token() -> Iterable[None]: - _api = HfApi(endpoint=CI_HUB_ENDPOINT) - _api.set_access_token(CI_HUB_USER_API_TOKEN) - HfFolder.save_token(CI_HUB_USER_API_TOKEN) - yield - HfFolder.delete_token() - _api.unset_access_token() - - @@ -117,6 +106,2 @@ def hf_api(): -def hf_token(hf_api: HfApi) -> Iterable[str]: - hf_api.set_access_token(CI_HUB_USER_API_TOKEN) - HfFolder.save_token(CI_HUB_USER_API_TOKEN) - yield CI_HUB_USER_API_TOKEN - with suppress(requests.exceptions.HTTPError): - hf_api.unset_access_token() +def hf_token() -> str: + return CI_HUB_USER_API_TOKEN @@ -301,3 +286,3 @@ DATA_cols = { - "col_1": {"_type": "Value", "id": None, "dtype": "int64"}, - "col_2": {"_type": "Value", "id": None, "dtype": "int64"}, - "col_3": {"_type": "Value", "id": None, "dtype": "float64"}, + "col_1": {"_type": "Value", "dtype": "int64"}, + "col_2": {"_type": "Value", "dtype": "int64"}, + "col_3": {"_type": "Value", "dtype": "float64"}, @@ -314,3 +299,3 @@ JSONL_cols = { - "col_1": {"_type": "Value", "id": None, "dtype": "string"}, - "col_2": {"_type": "Value", "id": None, "dtype": "int64"}, - "col_3": {"_type": "Value", "id": None, "dtype": "float64"}, + "col_1": {"_type": "Value", "dtype": "string"}, + "col_2": {"_type": "Value", "dtype": "int64"}, + "col_3": {"_type": "Value", "dtype": "float64"}, @@ -328,3 +312,0 @@ AUDIO_cols = { - "decode": True, - "id": None, - "mono": True, @@ -355,5 +337 @@ IMAGE_cols = { - "col": { - "_type": "Image", - "decode": True, - "id": None, - }, + "col": {"_type": "Image"}, @@ -377,7 +355 @@ IMAGES_LIST_cols = { - "col": [ - { - "_type": "Image", - "decode": True, - "id": None, - } - ], + "col": [{"_type": "Image"}], diff --git a/services/worker/tests/test_features.py b/workers/first_rows/tests/test_features.py similarity index 99% rename from services/worker/tests/test_features.py rename to workers/first_rows/tests/test_features.py index fdd64607..943d8415 100644 --- a/services/worker/tests/test_features.py +++ b/workers/first_rows/tests/test_features.py @@ -12 +12 @@ from datasets import Audio, Dataset, Image, Value -from worker.features import get_cell_value +from first_rows.features import get_cell_value diff --git a/services/worker/tests/responses/test_first_rows.py b/workers/first_rows/tests/test_response.py similarity index 81% rename from services/worker/tests/responses/test_first_rows.py rename to workers/first_rows/tests/test_response.py index 6674b6bc..3544c879 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/workers/first_rows/tests/test_response.py @@ -4,0 +5 @@ import pytest +from datasets.packaged_modules import csv @@ -7 +8 @@ from libutils.exceptions import CustomError -from worker.responses.first_rows import get_first_rows_response +from first_rows.response import get_first_rows_response @@ -9,2 +10,2 @@ from worker.responses.first_rows import get_first_rows_response -from ..fixtures.hub import HubDatasets -from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_split +from .fixtures.hub import HubDatasets +from .utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_split @@ -35,0 +37,6 @@ def test_number_rows( + # temporary patch to remove the effect of + # https://github.com/huggingface/datasets/issues/4875#issuecomment-1280744233 + # note: it fixes the tests, but it does not fix the bug in the "real world" + if hasattr(csv, "_patched_for_streaming") and csv._patched_for_streaming: # type: ignore + csv._patched_for_streaming = False # type: ignore + diff --git a/workers/first_rows/tests/test_worker.py b/workers/first_rows/tests/test_worker.py new file mode 100644 index 00000000..48c1785c --- /dev/null +++ b/workers/first_rows/tests/test_worker.py @@ -0,0 +1,99 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + + +from http import HTTPStatus + +import pytest +from libcache.simple_cache import DoesNotExist +from libcache.simple_cache import _clean_database as _clean_cache_database +from libcache.simple_cache import connect_to_cache, get_first_rows_response +from libqueue.queue import _clean_queue_database, connect_to_queue + +from first_rows.config import ( + ASSETS_BASE_URL, + HF_ENDPOINT, + HF_TOKEN, + MAX_JOBS_PER_DATASET, + MAX_LOAD_PCT, + MAX_MEMORY_PCT, + MAX_SIZE_FALLBACK, + ROWS_MAX_BYTES, + ROWS_MAX_NUMBER, + ROWS_MIN_NUMBER, + WORKER_SLEEP_SECONDS, +) +from first_rows.worker import FirstRowsWorker + +from .utils import ( + MONGO_CACHE_DATABASE, + MONGO_QUEUE_DATABASE, + MONGO_URL, + get_default_config_split, +) + + [email protected](autouse=True, scope="module") +def safe_guard() -> None: + if "test" not in MONGO_CACHE_DATABASE: + raise ValueError("Test must be launched on a test mongo database") + + [email protected](autouse=True, scope="module") +def client() -> None: + connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) + + [email protected](autouse=True) +def clean_mongo_database() -> None: + _clean_cache_database() + _clean_queue_database() + + [email protected](autouse=True, scope="module") +def worker() -> FirstRowsWorker: + return FirstRowsWorker( + assets_base_url=ASSETS_BASE_URL, + hf_endpoint=HF_ENDPOINT, + hf_token=HF_TOKEN, + max_size_fallback=MAX_SIZE_FALLBACK, + rows_max_bytes=ROWS_MAX_BYTES, + rows_max_number=ROWS_MAX_NUMBER, + rows_min_number=ROWS_MIN_NUMBER, + max_jobs_per_dataset=MAX_JOBS_PER_DATASET, + max_load_pct=MAX_LOAD_PCT, + max_memory_pct=MAX_MEMORY_PCT, + sleep_seconds=WORKER_SLEEP_SECONDS, + ) + + +def test_compute(worker: FirstRowsWorker, hub_public_csv: str) -> None: + dataset, config, split = get_default_config_split(hub_public_csv) + assert worker.compute(dataset=dataset, config=config, split=split) is True + response, cached_http_status, error_code = get_first_rows_response( + dataset_name=dataset, config_name=config, split_name=split + ) + assert cached_http_status == HTTPStatus.OK + assert error_code is None + assert response["features"][0]["feature_idx"] == 0 + assert response["features"][0]["name"] == "col_1" + assert response["features"][0]["type"]["_type"] == "Value" + assert response["features"][0]["type"]["dtype"] == "int64" # <---| + assert response["features"][1]["type"]["dtype"] == "int64" # <---|- auto-detected by the datasets library + assert response["features"][2]["type"]["dtype"] == "float64" # <-| + + +def test_doesnotexist(worker: FirstRowsWorker) -> None: + dataset = "doesnotexist" + dataset, config, split = get_default_config_split(dataset) + assert worker.compute(dataset=dataset, config=config, split=split) is False + with pytest.raises(DoesNotExist): + get_first_rows_response(dataset_name=dataset, config_name=config, split_name=split) + + +def test_process_job(worker: FirstRowsWorker, hub_public_csv: str) -> None: + dataset, config, split = get_default_config_split(hub_public_csv) + worker.queue.add_job(dataset=dataset, config=config, split=split) + result = worker.process_next_job() + assert result is True diff --git a/services/worker/tests/utils.py b/workers/first_rows/tests/utils.py similarity index 100% rename from services/worker/tests/utils.py rename to workers/first_rows/tests/utils.py diff --git a/workers/splits/.flake8 b/workers/splits/.flake8 new file mode 100644 index 00000000..f7d6157c --- /dev/null +++ b/workers/splits/.flake8 @@ -0,0 +1,5 @@ +[flake8] +# Recommend matching the black line length (119), +# rather than using the flake8 default of 79: +max-line-length = 119 +extend-ignore = "E203" diff --git a/workers/splits/.python-version b/workers/splits/.python-version new file mode 100644 index 00000000..1635d0f5 --- /dev/null +++ b/workers/splits/.python-version @@ -0,0 +1 @@ +3.9.6 diff --git a/workers/splits/Dockerfile b/workers/splits/Dockerfile new file mode 100644 index 00000000..b3ea1aa2 --- /dev/null +++ b/workers/splits/Dockerfile @@ -0,0 +1,36 @@ +# build with +# docker build -t some_tag_worker -f Dockerfile ../.. +FROM python:3.9.6-slim + +ENV PYTHONFAULTHANDLER=1 \ + PYTHONUNBUFFERED=1 \ + PYTHONHASHSEED=random \ + PIP_NO_CACHE_DIR=off \ + PIP_DISABLE_PIP_VERSION_CHECK=on \ + PIP_DEFAULT_TIMEOUT=100 \ + POETRY_NO_INTERACTION=1 \ + # Versions: + POETRY_VERSION=1.1.12 \ + POETRY_VIRTUALENVS_IN_PROJECT=true + +# System deps: +RUN apt-get update \ + && apt-get install -y build-essential unzip wget python3-dev make \ + libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm pkg-config \ + && rm -rf /var/lib/apt/lists/* + +RUN pip install -U --no-cache-dir pip +RUN pip install "poetry==$POETRY_VERSION" + +WORKDIR /src +COPY libs/libcache/dist ./libs/libcache/dist +COPY libs/libqueue/dist ./libs/libqueue/dist +COPY libs/libutils/dist ./libs/libutils/dist +COPY workers/splits/src ./workers/splits/src +COPY workers/splits/poetry.lock ./workers/splits/poetry.lock +COPY workers/splits/pyproject.toml ./workers/splits/pyproject.toml +COPY vendors ./vendors/ +WORKDIR /src/workers/splits/ +RUN poetry install + +ENTRYPOINT ["poetry", "run", "python", "src/splits/main.py"] diff --git a/services/worker/Makefile b/workers/splits/Makefile similarity index 84% rename from services/worker/Makefile rename to workers/splits/Makefile index b6518efd..0f146557 100644 --- a/services/worker/Makefile +++ b/workers/splits/Makefile @@ -2 +2 @@ -export TEST_MONGO_PORT := 27032 +export TEST_MONGO_PORT := 27040 @@ -6 +6 @@ export TEST_ROWS_MAX_NUMBER := 5 -export TEST_COMPOSE_PROJECT_NAME := worker +export TEST_COMPOSE_PROJECT_NAME := splits @@ -19 +19 @@ run: - poetry run python src/worker/main.py + poetry run python src/splits/main.py diff --git a/workers/splits/README.md b/workers/splits/README.md new file mode 100644 index 00000000..30ca1af1 --- /dev/null +++ b/workers/splits/README.md @@ -0,0 +1,22 @@ +# Datasets server - worker + +> Worker that pre-computes and caches the response to /splits + +## Configuration + +Set environment variables to configure the following aspects: + +- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `main`. +- `HF_DATASETS_CACHE`: directory where the `datasets` library will store the cached datasets data. Defaults to `~/.cache/huggingface/datasets`. +- `HF_MODULES_CACHE`: directory where the `datasets` library will store the cached datasets scripts. Defaults to `~/.cache/huggingface/modules`. +- `HF_ENDPOINT`: URL of the HuggingFace Hub. Defaults to `https://huggingface.co`. +- `HF_TOKEN`: App Access Token (ask moonlanding administrators to get one, only the `read` role is required), to access the gated datasets. Defaults to empty. +- `LOG_LEVEL`: log level, among `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. Defaults to `INFO`. +- `MAX_JOBS_PER_DATASET`: the maximum number of started jobs for the same dataset. Defaults to 1. +- `MAX_LOAD_PCT`: the maximum load of the machine (in percentage: the max between the 1m load and the 5m load divided by the number of cpus \*100) allowed to start a job. Set to 0 to disable the test. Defaults to 70. +- `MAX_MEMORY_PCT`: the maximum memory (RAM + SWAP) usage of the machine (in percentage) allowed to start a job. Set to 0 to disable the test. Defaults to 80. +- `MONGO_CACHE_DATABASE`: the name of the database used for storing the cache. Defaults to `"datasets_server_cache"`. +- `MONGO_QUEUE_DATABASE`: the name of the database used for storing the queue. Defaults to `"datasets_server_queue"`. +- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27017"`. +- `NUMBA_CACHE_DIR`: directory where the `numba` decorators (used by `librosa`) can write cache. Required on cloud infrastructure (see https://stackoverflow.com/a/63367171/7351594). +- `WORKER_SLEEP_SECONDS`: duration in seconds of a worker wait loop iteration, before checking if resources are available and processing a job if any is available. Note that the worker does not sleep on the first loop after finishing a job. Defaults to `15`. diff --git a/workers/splits/poetry.lock b/workers/splits/poetry.lock new file mode 100644 index 00000000..69b86262 --- /dev/null +++ b/workers/splits/poetry.lock @@ -0,0 +1,3379 @@ +[[package]] +name = "absl-py" +version = "1.3.0" +description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "aiohttp" +version = "3.8.3" +description = "Async http client/server framework (asyncio)" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +aiosignal = ">=1.1.2" +async-timeout = ">=4.0.0a3,<5.0" +attrs = ">=17.3.0" +charset-normalizer = ">=2.0,<3.0" +frozenlist = ">=1.1.1" +multidict = ">=4.5,<7.0" +yarl = ">=1.0,<2.0" + +[package.extras] +speedups = ["aiodns", "brotli", "cchardet"] + +[[package]] +name = "aiosignal" +version = "1.2.0" +description = "aiosignal: a list of registered asynchronous callbacks" +category = "main" 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--- a/services/worker/pyproject.toml +++ b/workers/splits/pyproject.toml @@ -3,2 +3,2 @@ authors = ["Sylvain Lesage <[email protected]>"] -description = "Worker that refreshes datasets and splits" -name = "worker" +description = "Worker that pre-computes and caches the response to /splits" +name = "splits" @@ -12 +12 @@ aiohttp = "^3.7.4.post0" -apache-beam = "^2.33.0" +apache-beam = "2.41.0" # ^2 gives a InvalidWheelName error because it tries to install 2.42 that has not been released... @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { extras = ["audio", "vision"], version = "^2.5.1" } +datasets = { extras = ["audio", "vision"], version = "^2.6.0" } @@ -20 +20 @@ libcache = { path = "../../libs/libcache/dist/libcache-0.2.1-py3-none-any.whl", -libqueue = { path = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl", develop = false } +libqueue = { path = "../../libs/libqueue/dist/libqueue-0.3.2-py3-none-any.whl", develop = false } @@ -27 +26,0 @@ openpyxl = "^3.0.9" -psutil = "^5.8.0" @@ -41,2 +39,0 @@ typer = "^0.4.0" -types-psutil = "^5.8.13" -types-requests = "^2.25.11" @@ -54,0 +52 @@ safety = "^2.1.1" +types-requests = "^2.28.11" @@ -70 +68 @@ markers = [ -source = ["worker"] +source = ["splits"] diff --git a/services/worker/tests/fixtures/__init__.py b/workers/splits/src/splits/__init__.py similarity index 100% rename from services/worker/tests/fixtures/__init__.py rename to workers/splits/src/splits/__init__.py diff --git a/workers/splits/src/splits/config.py b/workers/splits/src/splits/config.py new file mode 100644 index 00000000..3865181d --- /dev/null +++ b/workers/splits/src/splits/config.py @@ -0,0 +1,44 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import os + +import datasets.config +from datasets.utils.logging import log_levels, set_verbosity +from libutils.utils import get_int_value, get_str_or_none_value, get_str_value + +from splits.constants import ( + DEFAULT_DATASETS_REVISION, + DEFAULT_HF_ENDPOINT, + DEFAULT_HF_TOKEN, + DEFAULT_LOG_LEVEL, + DEFAULT_MAX_JOBS_PER_DATASET, + DEFAULT_MAX_LOAD_PCT, + DEFAULT_MAX_MEMORY_PCT, + DEFAULT_MONGO_CACHE_DATABASE, + DEFAULT_MONGO_QUEUE_DATABASE, + DEFAULT_MONGO_URL, + DEFAULT_WORKER_SLEEP_SECONDS, +) + +DATASETS_REVISION = get_str_value(d=os.environ, key="DATASETS_REVISION", default=DEFAULT_DATASETS_REVISION) +HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ENDPOINT) +HF_TOKEN = get_str_or_none_value(d=os.environ, key="HF_TOKEN", default=DEFAULT_HF_TOKEN) +LOG_LEVEL = get_str_value(d=os.environ, key="LOG_LEVEL", default=DEFAULT_LOG_LEVEL) +MAX_JOBS_PER_DATASET = get_int_value(os.environ, "MAX_JOBS_PER_DATASET", DEFAULT_MAX_JOBS_PER_DATASET) +MAX_LOAD_PCT = get_int_value(os.environ, "MAX_LOAD_PCT", DEFAULT_MAX_LOAD_PCT) +MAX_MEMORY_PCT = get_int_value(os.environ, "MAX_MEMORY_PCT", DEFAULT_MAX_MEMORY_PCT) +MONGO_CACHE_DATABASE = get_str_value(d=os.environ, key="MONGO_CACHE_DATABASE", default=DEFAULT_MONGO_CACHE_DATABASE) +MONGO_QUEUE_DATABASE = get_str_value(d=os.environ, key="MONGO_QUEUE_DATABASE", default=DEFAULT_MONGO_QUEUE_DATABASE) +MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_URL) +WORKER_SLEEP_SECONDS = get_int_value(os.environ, "WORKER_SLEEP_SECONDS", DEFAULT_WORKER_SLEEP_SECONDS) + +# Ensure the datasets library uses the expected revision for canonical datasets +# this one has to be set via an env variable unlike the others - this might be fixed in `datasets` at one point +os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION +# Ensure the datasets library uses the expected HuggingFace endpoint +datasets.config.HF_ENDPOINT = HF_ENDPOINT +# Don't increase the datasets download counts on huggingface.co +datasets.config.HF_UPDATE_DOWNLOAD_COUNTS = False +# Set logs from the datasets library to the least verbose +set_verbosity(log_levels["critical"]) diff --git a/workers/splits/src/splits/constants.py b/workers/splits/src/splits/constants.py new file mode 100644 index 00000000..f6e3d204 --- /dev/null +++ b/workers/splits/src/splits/constants.py @@ -0,0 +1,17 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from typing import Optional + +DEFAULT_DATASETS_REVISION: str = "main" +DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" +DEFAULT_HF_TOKEN: Optional[str] = None +DEFAULT_LOG_LEVEL: str = "INFO" +DEFAULT_MAX_JOBS_PER_DATASET: int = 1 +DEFAULT_MAX_LOAD_PCT: int = 70 +DEFAULT_MAX_MEMORY_PCT: int = 80 +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_server_queue" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_WORKER_SLEEP_SECONDS: int = 15 +DEFAULT_WORKER_QUEUE: str = "splits_responses" diff --git a/workers/splits/src/splits/main.py b/workers/splits/src/splits/main.py new file mode 100644 index 00000000..08042af3 --- /dev/null +++ b/workers/splits/src/splits/main.py @@ -0,0 +1,33 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from libcache.simple_cache import connect_to_cache +from libqueue.queue import connect_to_queue +from libutils.logger import init_logger + +from splits.config import ( + HF_ENDPOINT, + HF_TOKEN, + LOG_LEVEL, + MAX_JOBS_PER_DATASET, + MAX_LOAD_PCT, + MAX_MEMORY_PCT, + MONGO_CACHE_DATABASE, + MONGO_QUEUE_DATABASE, + MONGO_URL, + WORKER_SLEEP_SECONDS, +) +from splits.worker import SplitsWorker + +if __name__ == "__main__": + init_logger(LOG_LEVEL) + connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) + SplitsWorker( + hf_endpoint=HF_ENDPOINT, + hf_token=HF_TOKEN, + max_jobs_per_dataset=MAX_JOBS_PER_DATASET, + max_load_pct=MAX_LOAD_PCT, + max_memory_pct=MAX_MEMORY_PCT, + sleep_seconds=WORKER_SLEEP_SECONDS, + ).loop() diff --git a/workers/splits/src/splits/py.typed b/workers/splits/src/splits/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/services/worker/src/worker/responses/splits.py b/workers/splits/src/splits/response.py similarity index 98% rename from services/worker/src/worker/responses/splits.py rename to workers/splits/src/splits/response.py index 58647118..8dbe9718 100644 --- a/services/worker/src/worker/responses/splits.py +++ b/workers/splits/src/splits/response.py @@ -17 +17 @@ from huggingface_hub.utils import RepositoryNotFoundError # type: ignore -from worker.utils import DatasetNotFoundError, EmptyDatasetError, SplitsNamesError +from splits.utils import DatasetNotFoundError, EmptyDatasetError, SplitsNamesError diff --git a/workers/splits/src/splits/utils.py b/workers/splits/src/splits/utils.py new file mode 100644 index 00000000..b0b7191f --- /dev/null +++ b/workers/splits/src/splits/utils.py @@ -0,0 +1,72 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from enum import Enum +from http import HTTPStatus +from typing import Literal, Optional + +from libqueue.queue import Queue +from libutils.exceptions import CustomError + +WorkerErrorCode = Literal[ + "DatasetNotFoundError", + "EmptyDatasetError", + "SplitsNamesError", + "UnexpectedError", +] + + +class WorkerCustomError(CustomError): + """Base class for exceptions in this module.""" + + def __init__( + self, + message: str, + status_code: HTTPStatus, + code: WorkerErrorCode, + cause: Optional[BaseException] = None, + disclose_cause: bool = False, + ): + super().__init__(message, status_code, str(code), cause, disclose_cause) + + +class DatasetNotFoundError(WorkerCustomError): + """Raised when the dataset does not exist.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.NOT_FOUND, "DatasetNotFoundError", cause, False) + + +class SplitsNamesError(WorkerCustomError): + """Raised when the split names could not be fetched.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "SplitsNamesError", cause, True) + + +class EmptyDatasetError(WorkerCustomError): + """Raised when the dataset has no data.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "EmptyDatasetError", cause, True) + + +class UnexpectedError(WorkerCustomError): + """Raised when the response for the split has not been found.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "UnexpectedError", cause, False) + + +class JobType(Enum): + SPLITS = "/splits" + FIRST_ROWS = "/first-rows" + + +class Queues: + splits: Queue + first_rows: Queue + + def __init__(self, max_jobs_per_dataset: Optional[int] = None): + self.splits = Queue(type=JobType.SPLITS.value, max_jobs_per_dataset=max_jobs_per_dataset) + self.first_rows = Queue(type=JobType.FIRST_ROWS.value, max_jobs_per_dataset=max_jobs_per_dataset) diff --git a/workers/splits/src/splits/worker.py b/workers/splits/src/splits/worker.py new file mode 100644 index 00000000..b36644bc --- /dev/null +++ b/workers/splits/src/splits/worker.py @@ -0,0 +1,99 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import logging +from http import HTTPStatus +from typing import Optional + +from libcache.simple_cache import ( + delete_first_rows_responses, + get_dataset_first_rows_response_splits, + upsert_splits_response, +) +from libqueue.worker import Worker + +from splits.response import get_splits_response +from splits.utils import ( + DatasetNotFoundError, + Queues, + UnexpectedError, + WorkerCustomError, +) + +logger = logging.getLogger(__name__) + + +class SplitsWorker(Worker): + hf_endpoint: str + hf_token: Optional[str] + + def __init__( + self, + hf_endpoint: str, + hf_token: Optional[str] = None, + max_jobs_per_dataset: Optional[int] = None, + sleep_seconds: Optional[int] = None, + max_memory_pct: Optional[int] = None, + max_load_pct: Optional[int] = None, + ): + super().__init__( + sleep_seconds=sleep_seconds, + max_memory_pct=max_memory_pct, + max_load_pct=max_load_pct, + ) + self._queues = Queues(max_jobs_per_dataset=max_jobs_per_dataset) + self.hf_endpoint = hf_endpoint + self.hf_token = hf_token + + @property + def queue(self): + return self._queues.splits + + def compute( + self, + dataset: str, + config: Optional[str] = None, + split: Optional[str] = None, + ) -> bool: + try: + response = get_splits_response(dataset, self.hf_endpoint, self.hf_token) + upsert_splits_response(dataset, dict(response), HTTPStatus.OK) + logger.debug(f"dataset={dataset} is valid, cache updated") + + splits_in_cache = get_dataset_first_rows_response_splits(dataset) + new_splits = [(s["dataset"], s["config"], s["split"]) for s in response["splits"]] + splits_to_delete = [s for s in splits_in_cache if s not in new_splits] + for d, c, s in splits_to_delete: + delete_first_rows_responses(d, c, s) + logger.debug( + f"{len(splits_to_delete)} 'first-rows' responses deleted from the cache for obsolete splits of" + f" dataset={dataset}" + ) + for d, c, s in new_splits: + self._queues.first_rows.add_job(dataset=d, config=c, split=s) + logger.debug(f"{len(new_splits)} 'first-rows' jobs added for the splits of dataset={dataset}") + return True + except DatasetNotFoundError: + logger.debug(f"the dataset={dataset} could not be found, don't update the cache") + return False + except WorkerCustomError as err: + upsert_splits_response( + dataset, + dict(err.as_response()), + err.status_code, + err.code, + dict(err.as_response_with_cause()), + ) + logger.debug(f"splits response for dataset={dataset} had an error, cache updated") + return False + except Exception as err: + e = UnexpectedError(str(err), err) + upsert_splits_response( + dataset, + dict(e.as_response()), + e.status_code, + e.code, + dict(e.as_response_with_cause()), + ) + logger.debug(f"splits response for dataset={dataset} had a server error, cache updated") + return False diff --git a/services/worker/tests/responses/__init__.py b/workers/splits/tests/__init__.py similarity index 100% rename from services/worker/tests/responses/__init__.py rename to workers/splits/tests/__init__.py diff --git a/workers/splits/tests/conftest.py b/workers/splits/tests/conftest.py new file mode 100644 index 00000000..5010cf61 --- /dev/null +++ b/workers/splits/tests/conftest.py @@ -0,0 +1,12 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import os + +from .utils import HF_ENDPOINT + +# Import fixture modules as plugins +pytest_plugins = ["tests.fixtures.datasets", "tests.fixtures.files", "tests.fixtures.hub"] + + +os.environ["HF_ENDPOINT"] = HF_ENDPOINT diff --git a/workers/splits/tests/fixtures/__init__.py b/workers/splits/tests/fixtures/__init__.py new file mode 100644 index 00000000..1e9d0c5a --- /dev/null +++ b/workers/splits/tests/fixtures/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/workers/splits/tests/fixtures/data/test_image_rgb.jpg b/workers/splits/tests/fixtures/data/test_image_rgb.jpg new file mode 100644 index 00000000..e131e8ec Binary files /dev/null and b/workers/splits/tests/fixtures/data/test_image_rgb.jpg differ diff --git a/workers/splits/tests/fixtures/datasets.py b/workers/splits/tests/fixtures/datasets.py new file mode 100644 index 00000000..ab1caf1b --- /dev/null +++ b/workers/splits/tests/fixtures/datasets.py @@ -0,0 +1,24 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from typing import Any, Dict + +import pytest +from datasets import Audio, Dataset, Features +from datasets.features.features import FeatureType + + +def other(content: Any, feature_type: FeatureType = None) -> Dataset: + return ( + Dataset.from_dict({"col": [content]}) + if feature_type is None + else Dataset.from_dict({"col": [content]}, features=Features({"col": feature_type})) + ) + + [email protected](scope="session") +def datasets() -> Dict[str, Dataset]: + sampling_rate = 16_000 + return { + "audio": other({"array": [0.1, 0.2, 0.3], "sampling_rate": sampling_rate}, Audio(sampling_rate=sampling_rate)), + } diff --git a/workers/splits/tests/fixtures/files.py b/workers/splits/tests/fixtures/files.py new file mode 100644 index 00000000..4a2dd290 --- /dev/null +++ b/workers/splits/tests/fixtures/files.py @@ -0,0 +1,24 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import csv + +import pytest + +DATA = [ + {"col_1": "0", "col_2": 0, "col_3": 0.0}, + {"col_1": "1", "col_2": 1, "col_3": 1.0}, + {"col_1": "2", "col_2": 2, "col_3": 2.0}, + {"col_1": "3", "col_2": 3, "col_3": 3.0}, +] + + [email protected](scope="session") +def csv_path(tmp_path_factory: pytest.TempPathFactory) -> str: + path = str(tmp_path_factory.mktemp("data") / "dataset.csv") + with open(path, "w", newline="") as f: + writer = csv.DictWriter(f, fieldnames=["col_1", "col_2", "col_3"]) + writer.writeheader() + for item in DATA: + writer.writerow(item) + return path diff --git a/workers/splits/tests/fixtures/hub.py b/workers/splits/tests/fixtures/hub.py new file mode 100644 index 00000000..8fdc83e1 --- /dev/null +++ b/workers/splits/tests/fixtures/hub.py @@ -0,0 +1,330 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +# Adapted from https://github.com/huggingface/datasets/blob/main/tests/fixtures/hub.py + +import time +from contextlib import contextmanager, suppress +from pathlib import Path +from typing import Any, Dict, Iterable, List, Optional, TypedDict + +import pytest +import requests +from datasets import Dataset +from huggingface_hub.hf_api import ( # type: ignore + REPO_TYPES, + REPO_TYPES_URL_PREFIXES, + HfApi, + hf_raise_for_status, +) + +from ..utils import get_default_config_split + +# see https://github.com/huggingface/moon-landing/blob/main/server/scripts/staging-seed-db.ts +CI_HUB_USER = "__DUMMY_DATASETS_SERVER_USER__" +CI_HUB_USER_API_TOKEN = "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" + +CI_HUB_ENDPOINT = "https://hub-ci.huggingface.co" +CI_HUB_DATASETS_URL = CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}" + + +def update_repo_settings( + hf_api: HfApi, + repo_id: str, + *, + private: Optional[bool] = None, + gated: Optional[bool] = None, + token: Optional[str] = None, + organization: Optional[str] = None, + repo_type: Optional[str] = None, + name: str = None, +) -> Dict[str, bool]: + """Update the settings of a repository. + Args: + repo_id (`str`, *optional*): + A namespace (user or an organization) and a repo name separated + by a `/`. + <Tip> + Version added: 0.5 + </Tip> + private (`bool`, *optional*, defaults to `None`): + Whether the repo should be private. + gated (`bool`, *optional*, defaults to `None`): + Whether the repo should request user access. + token (`str`, *optional*): + An authentication token (See https://huggingface.co/settings/token) + repo_type (`str`, *optional*): + Set to `"dataset"` or `"space"` if uploading to a dataset or + space, `None` or `"model"` if uploading to a model. Default is + `None`. + Returns: + The HTTP response in json. + <Tip> + Raises the following errors: + - [`~huggingface_hub.utils.RepositoryNotFoundError`] + If the repository to download from cannot be found. This may be because it doesn't exist, + or because it is set to `private` and you do not have access. + </Tip> + """ + if repo_type not in REPO_TYPES: + raise ValueError("Invalid repo type") + + organization, name = repo_id.split("/") if "/" in repo_id else (None, repo_id) + + if organization is None: + namespace = hf_api.whoami(token)["name"] + else: + namespace = organization + + path_prefix = f"{hf_api.endpoint}/api/" + if repo_type in REPO_TYPES_URL_PREFIXES: + path_prefix += REPO_TYPES_URL_PREFIXES[repo_type] + + path = f"{path_prefix}{namespace}/{name}/settings" + + json = {} + if private is not None: + json["private"] = private + if gated is not None: + json["gated"] = gated + + r = requests.put( + path, + headers={"authorization": f"Bearer {token}"}, + json=json, + ) + hf_raise_for_status(r) + return r.json() + + [email protected](scope="session") +def hf_api(): + return HfApi(endpoint=CI_HUB_ENDPOINT) + + [email protected](scope="session") +def hf_token() -> str: + return CI_HUB_USER_API_TOKEN + + [email protected] +def cleanup_repo(hf_api: HfApi): + def _cleanup_repo(repo_id): + hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_API_TOKEN, repo_type="dataset") + + return _cleanup_repo + + [email protected] +def temporary_repo(cleanup_repo): + @contextmanager + def _temporary_repo(repo_id): + try: + yield repo_id + finally: + cleanup_repo(repo_id) + + return _temporary_repo + + +def create_unique_repo_name(prefix: str, user: str) -> str: + repo_name = f"{prefix}-{int(time.time() * 10e3)}" + return f"{user}/{repo_name}" + + +def create_hub_dataset_repo( + *, + hf_api: HfApi, + hf_token: str, + prefix: str, + file_paths: List[str] = None, + dataset: Dataset = None, + private=False, + gated=False, + user=CI_HUB_USER, +) -> str: + repo_id = create_unique_repo_name(prefix, user) + if dataset is not None: + dataset.push_to_hub(repo_id=repo_id, private=private, token=hf_token, embed_external_files=True) + else: + hf_api.create_repo(repo_id=repo_id, token=hf_token, repo_type="dataset", private=private) + if gated: + update_repo_settings(hf_api, repo_id, token=hf_token, gated=gated, repo_type="dataset") + if file_paths is not None: + for file_path in file_paths: + hf_api.upload_file( + token=hf_token, + path_or_fileobj=file_path, + path_in_repo=Path(file_path).name, + repo_id=repo_id, + repo_type="dataset", + ) + return repo_id + + +# https://docs.pytest.org/en/6.2.x/fixture.html#yield-fixtures-recommended [email protected](scope="session", autouse=True) +def hub_public_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="empty") + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_public_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="csv", file_paths=[csv_path]) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_private_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo( + hf_api=hf_api, hf_token=hf_token, prefix="csv_private", file_paths=[csv_path], private=True + ) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_gated_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo( + hf_api=hf_api, hf_token=hf_token, prefix="csv_gated", file_paths=[csv_path], gated=True + ) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_public_audio(hf_api: HfApi, hf_token: str, datasets: Dict[str, Dataset]) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="audio", dataset=datasets["audio"]) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + +class HubDatasetTest(TypedDict): + name: str + splits_response: Any + + +HubDatasets = Dict[str, HubDatasetTest] + + +def get_splits_response(dataset: str, num_bytes: float = None, num_examples: int = None): + dataset, config, split = get_default_config_split(dataset) + return { + "splits": [ + { + "dataset": dataset, + "config": config, + "split": split, + "num_bytes": num_bytes, + "num_examples": num_examples, + } + ] + } + + +def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any]): + dataset, config, split = get_default_config_split(dataset) + return { + "dataset": dataset, + "config": config, + "split": split, + "features": [ + { + "feature_idx": feature_idx, + "name": name, + "type": type, + } + for feature_idx, (name, type) in enumerate(cols.items()) + ], + "rows": [ + { + "row_idx": row_idx, + "truncated_cells": [], + "row": row, + } + for row_idx, row in enumerate(rows) + ], + } + + +DATA_cols = { + "col_1": {"_type": "Value", "dtype": "int64"}, + "col_2": {"_type": "Value", "dtype": "int64"}, + "col_3": {"_type": "Value", "dtype": "float64"}, +} +DATA_rows = [ + {"col_1": 0, "col_2": 0, "col_3": 0.0}, + {"col_1": 1, "col_2": 1, "col_3": 1.0}, + {"col_1": 2, "col_2": 2, "col_3": 2.0}, + {"col_1": 3, "col_2": 3, "col_3": 3.0}, +] + + +AUDIO_cols = { + "col": { + "_type": "Audio", + "sampling_rate": 16_000, + }, +} + + +def get_AUDIO_rows(dataset: str): + dataset, config, split = get_default_config_split(dataset) + return [ + { + "col": [ + { + "src": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/audio.mp3", + "type": "audio/mpeg", + }, + { + "src": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/audio.wav", + "type": "audio/wav", + }, + ] + } + ] + + [email protected](scope="session", autouse=True) +def hub_datasets( + hub_public_empty, + hub_public_csv, + hub_private_csv, + hub_gated_csv, + hub_public_audio, +) -> HubDatasets: + return { + "does_not_exist": { + "name": "does_not_exist", + "splits_response": None, + }, + "empty": { + "name": hub_public_empty, + "splits_response": None, + }, + "public": { + "name": hub_public_csv, + "splits_response": get_splits_response(hub_public_csv, None, None), + }, + "private": { + "name": hub_private_csv, + "splits_response": get_splits_response(hub_private_csv, None, None), + }, + "gated": { + "name": hub_gated_csv, + "splits_response": get_splits_response(hub_gated_csv, None, None), + }, + "audio": { + "name": hub_public_audio, + "splits_response": get_splits_response(hub_public_audio, 54.0, 1), + }, + } diff --git a/services/worker/tests/responses/test_splits.py b/workers/splits/tests/test_response.py similarity index 93% rename from services/worker/tests/responses/test_splits.py rename to workers/splits/tests/test_response.py index 5ed63418..4c7d398b 100644 --- a/services/worker/tests/responses/test_splits.py +++ b/workers/splits/tests/test_response.py @@ -7 +7 @@ from libutils.exceptions import CustomError -from worker.responses.splits import get_splits_response +from splits.response import get_splits_response @@ -9,2 +9,2 @@ from worker.responses.splits import get_splits_response -from ..fixtures.hub import HubDatasets -from ..utils import HF_ENDPOINT, HF_TOKEN +from .fixtures.hub import HubDatasets +from .utils import HF_ENDPOINT, HF_TOKEN diff --git a/workers/splits/tests/test_worker.py b/workers/splits/tests/test_worker.py new file mode 100644 index 00000000..a8079e40 --- /dev/null +++ b/workers/splits/tests/test_worker.py @@ -0,0 +1,76 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from http import HTTPStatus + +import pytest +from libcache.simple_cache import DoesNotExist +from libcache.simple_cache import _clean_database as _clean_cache_database +from libcache.simple_cache import connect_to_cache, get_splits_response +from libqueue.queue import _clean_queue_database, connect_to_queue + +from splits.config import ( + HF_ENDPOINT, + HF_TOKEN, + MAX_JOBS_PER_DATASET, + MAX_LOAD_PCT, + MAX_MEMORY_PCT, + WORKER_SLEEP_SECONDS, +) +from splits.worker import SplitsWorker + +from .utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL + + [email protected](autouse=True, scope="module") +def safe_guard() -> None: + if "test" not in MONGO_CACHE_DATABASE: + raise ValueError("Test must be launched on a test mongo database") + + [email protected](autouse=True, scope="module") +def client() -> None: + connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) + + [email protected](autouse=True) +def clean_mongo_database() -> None: + _clean_cache_database() + _clean_queue_database() + + [email protected](autouse=True, scope="module") +def worker() -> SplitsWorker: + return SplitsWorker( + hf_endpoint=HF_ENDPOINT, + hf_token=HF_TOKEN, + max_jobs_per_dataset=MAX_JOBS_PER_DATASET, + max_load_pct=MAX_LOAD_PCT, + max_memory_pct=MAX_MEMORY_PCT, + sleep_seconds=WORKER_SLEEP_SECONDS, + ) + + +def test_compute(worker: SplitsWorker, hub_public_csv: str) -> None: + dataset = hub_public_csv + assert worker.compute(dataset=dataset) is True + response, cached_http_status, error_code = get_splits_response(dataset_name=hub_public_csv) + assert cached_http_status == HTTPStatus.OK + assert error_code is None + assert len(response["splits"]) == 1 + assert response["splits"][0]["num_bytes"] is None + assert response["splits"][0]["num_examples"] is None + + +def test_doesnotexist(worker: SplitsWorker) -> None: + dataset = "doesnotexist" + assert worker.compute(dataset=dataset) is False + with pytest.raises(DoesNotExist): + get_splits_response(dataset_name=dataset) + + +def test_process_job(worker: SplitsWorker, hub_public_csv: str) -> None: + worker.queue.add_job(dataset=hub_public_csv) + result = worker.process_next_job() + assert result is True diff --git a/workers/splits/tests/utils.py b/workers/splits/tests/utils.py new file mode 100644 index 00000000..a4094cc6 --- /dev/null +++ b/workers/splits/tests/utils.py @@ -0,0 +1,25 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import os +from typing import Tuple + +from libutils.utils import get_str_value + +DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" +DEFAULT_HF_TOKEN: str = "" +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache_test" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_server_queue_test" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27017" + +HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ENDPOINT) +HF_TOKEN = get_str_value(d=os.environ, key="HF_TOKEN", default=DEFAULT_HF_TOKEN) +MONGO_CACHE_DATABASE = get_str_value(d=os.environ, key="MONGO_CACHE_DATABASE", default=DEFAULT_MONGO_CACHE_DATABASE) +MONGO_QUEUE_DATABASE = get_str_value(d=os.environ, key="MONGO_QUEUE_DATABASE", default=DEFAULT_MONGO_QUEUE_DATABASE) +MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_URL) + + +def get_default_config_split(dataset: str) -> Tuple[str, str, str]: + config = dataset.replace("/", "--") + split = "train" + return dataset, config, split
9b346a79c5e3f51719fb2717683c4e5f86291201
Sylvain Lesage
2022-10-14T08:41:48
feat: 🎸 8 splits workers (#609)
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 3002e880..9695431f 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -125 +125 @@ worker: - replicas: 4 + replicas: 8
17984a1a4ff0dda35eac8e4479ecd2566ea5dac2
Sylvain Lesage
2022-10-11T20:32:59
feat: 🎸 upgrade hub webhook client to v2 (#607)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 60d72397..ed3bb08e 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -4 +4 @@ - "api": "huggingface/datasets-server-api:sha-7210df0", + "api": "huggingface/datasets-server-api:sha-8b5b0f9", diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py index 119528bf..4329f372 100644 --- a/e2e/tests/utils.py +++ b/e2e/tests/utils.py @@ -65 +65,5 @@ def post_refresh(dataset: str, headers: Headers = None) -> Response: - return post("/webhook", json={"update": f"datasets/{dataset}"}, headers=headers) + return post( + "/webhook", + json={"event": "update", "repo": {"type": "dataset", "name": dataset}}, + headers=headers, + ) diff --git a/services/api/poetry.lock b/services/api/poetry.lock index c28b1ea8..6f7e32ae 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -49 +49 @@ description = "Classes Without Boilerplate" -category = "dev" +category = "main" @@ -286,0 +287,16 @@ plugins = ["setuptools"] +[[package]] +name = "jsonschema" +version = "4.16.0" +description = "An implementation of JSON Schema validation for Python" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +attrs = ">=17.4.0" +pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] + @@ -533,0 +550,8 @@ diagrams = ["railroad-diagrams", "jinja2"] +[[package]] +name = "pyrsistent" +version = "0.18.1" +description = "Persistent/Functional/Immutable data structures" +category = "main" +optional = false +python-versions = ">=3.7" + @@ -820 +844 @@ python-versions = "3.9.6" -content-hash = 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b/services/api/src/api/routes/webhook.py index d4d30877..f449e1df 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -5 +5 @@ import logging -from typing import Any, Optional, TypedDict +from typing import Any, List, Literal, Optional, TypedDict @@ -6,0 +7 @@ from typing import Any, Optional, TypedDict +from jsonschema import ValidationError, validate # type: ignore @@ -11 +12 @@ from api.dataset import delete, is_supported, update -from api.utils import Endpoint, get_response, is_non_empty_string +from api.utils import Endpoint, get_response @@ -16 +17,29 @@ logger = logging.getLogger(__name__) -class MoonWebhookV1Payload(TypedDict): +schema = { + "$schema": "https://json-schema.org/draft/2020-12/schema", + "type": "object", + "properties": { + "event": {"type": "string", "enum": ["add", "remove", "update", "move"]}, + "movedTo": {"type": "string"}, + "repo": { + "type": "object", + "properties": { + "type": {"type": "string", "enum": ["dataset", "model", "space"]}, + "name": {"type": "string"}, + "gitalyUid": {"type": "string"}, + "tags": {"type": "array", "items": {"type": "string"}}, + }, + "required": ["type", "name"], + }, + }, + "required": ["event", "repo"], +} + + +class MoonWebhookV2PayloadRepo(TypedDict): + type: Literal["model", "dataset", "space"] + name: str + gitalyUid: str + tags: Optional[List[str]] + + +class MoonWebhookV2Payload(TypedDict): @@ -18 +47 @@ class MoonWebhookV1Payload(TypedDict): - Payload from a moon-landing webhook call. + Payload from a moon-landing webhook call, v2. @@ -21,35 +50,30 @@ class MoonWebhookV1Payload(TypedDict): - add: Optional[str] - remove: Optional[str] - update: Optional[str] - - -class WebHookContent(TypedDict): - status: str - - -def parse_payload(json: Any) -> MoonWebhookV1Payload: - return { - "add": str(json["add"]) if "add" in json else None, - "remove": str(json["remove"]) if "remove" in json else None, - "update": str(json["update"]) if "update" in json else None, - } - - -def get_dataset_name(id: Optional[str]) -> Optional[str]: - if id is None: - return None - dataset_name = id.removeprefix("datasets/") - if id == dataset_name: - logger.info(f"ignored because a full dataset id must starts with 'datasets/': {id}") - return None - return dataset_name if is_non_empty_string(dataset_name) else None - - -def process_payload(payload: MoonWebhookV1Payload, hf_endpoint: str, hf_token: Optional[str] = None) -> None: - unique_datasets = {get_dataset_name(id) for id in {payload["add"], payload["remove"], payload["update"]}} - for dataset in unique_datasets: - if dataset is not None: - if is_supported(dataset=dataset, hf_endpoint=hf_endpoint, hf_token=hf_token): - update(dataset=dataset) - else: - delete(dataset=dataset) + event: Literal["add", "remove", "update", "move"] + movedTo: Optional[str] + repo: MoonWebhookV2PayloadRepo + + +def parse_payload(json: Any) -> MoonWebhookV2Payload: + validate(instance=json, schema=schema) + return json + + +def process_payload(payload: MoonWebhookV2Payload, hf_endpoint: str, hf_token: Optional[str] = None) -> None: + if payload["repo"]["type"] != "dataset": + return + dataset = payload["repo"]["name"] + if dataset is None: + return + event = payload["event"] + if event in ["add", "update"]: + if is_supported(dataset=dataset, hf_endpoint=hf_endpoint, hf_token=hf_token): + update(dataset=dataset) + elif event == "remove": + delete(dataset=dataset) + elif event == "move": + moved_to = payload["movedTo"] + if moved_to is None: + return + if is_supported(dataset=moved_to, hf_endpoint=hf_endpoint, hf_token=hf_token): + # not optimal as we might try to rename instead + update(dataset=moved_to) + delete(dataset=dataset) @@ -68 +92 @@ def create_webhook_endpoint(hf_endpoint: str, hf_token: Optional[str] = None) -> - except Exception: + except ValidationError: @@ -70,0 +95,3 @@ def create_webhook_endpoint(hf_endpoint: str, hf_token: Optional[str] = None) -> + except Exception: + content = {"status": "error", "error": "unexpected error"} + return get_response(content, 500) diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index a29a3d00..a8e7476b 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -11,0 +12 @@ from libqueue.queue import clean_database as clean_queue_database +from libqueue.queue import is_splits_response_in_process @@ -77,24 +77,0 @@ def test_get_valid_datasets(client: TestClient) -> None: [email protected]( - "dataset,exists_on_the_hub,expected_status_code,expected_is_valid", - [ - (None, True, 422, None), - ("notinthecache", True, 200, False), - ("notinthecache", False, 404, None), - ], -) -def test_get_is_valid( - client: TestClient, - httpserver: HTTPServer, - hf_auth_path: str, - dataset: Optional[str], - exists_on_the_hub: bool, - expected_status_code: int, - expected_is_valid: Optional[bool], -) -> None: - httpserver.expect_request(hf_auth_path % dataset).respond_with_data(status=200 if exists_on_the_hub else 404) - response = client.get("/is-valid", params={"dataset": dataset}) - assert response.status_code == expected_status_code - if expected_is_valid is not None: - assert response.json()["valid"] == expected_is_valid - - @@ -271,0 +249,48 @@ def test_metrics(client: TestClient) -> None: + + [email protected]( + "payload,exists_on_the_hub,expected_status,expected_is_updated", + [ + ({"event": "add", "repo": {"type": "dataset", "name": "webhook-test", "gitalyUid": "123"}}, True, 200, True), + ( + { + "event": "move", + "movedTo": "webhook-test", + "repo": {"type": "dataset", "name": "previous-name", "gitalyUid": "123"}, + }, + True, + 200, + True, + ), + ( + {"event": "doesnotexist", "repo": {"type": "dataset", "name": "webhook-test", "gitalyUid": "123"}}, + True, + 400, + False, + ), + ( + {"event": "add", "repo": {"type": "dataset", "name": "webhook-test"}}, + True, + 200, + True, + ), + ({"event": "add", "repo": {"type": "dataset", "name": "webhook-test", "gitalyUid": "123"}}, False, 200, False), + ], +) +def test_webhook( + client: TestClient, + httpserver: HTTPServer, + payload: Dict, + exists_on_the_hub: bool, + expected_status: int, + expected_is_updated: bool, +) -> None: + dataset = "webhook-test" + headers = None if exists_on_the_hub else {"X-Error-Code": "RepoNotFound"} + status = 200 if exists_on_the_hub else 404 + httpserver.expect_request(f"/api/datasets/{dataset}").respond_with_data( + json.dumps({"private": False}), headers=headers, status=status + ) + response = client.post("/webhook", json=payload) + assert response.status_code == expected_status, response.text + assert is_splits_response_in_process(dataset) is expected_is_updated
7697e4bf1d0bded10f47591854316e88c74be094
Sylvain Lesage
2022-10-11T09:40:40
test: 💍 add tests for missing fields and None value (#606)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index b1be9ffa..60d72397 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +7,2 @@ - "splits": "huggingface/datasets-server-worker:sha-a111310", - "firstRows": "huggingface/datasets-server-worker:sha-a111310" + "splits": "huggingface/datasets-server-worker:sha-06c9c4b", + "firstRows": "huggingface/datasets-server-worker:sha-06c9c4b" diff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py index 227278bf..a63e7920 100644 --- a/services/worker/src/worker/features.py +++ b/services/worker/src/worker/features.py @@ -124,0 +125,3 @@ def get_cell_value( + # always allow None values in the cells + if cell is None: + return cell diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index d71c06ce..92f0c63a 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -199 +199 @@ def transform_rows( - row[featureName], + row[featureName] if featureName in row else None, diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py index c50534c3..1a07dd2d 100644 --- a/services/worker/tests/fixtures/datasets.py +++ b/services/worker/tests/fixtures/datasets.py @@ -128,0 +129 @@ def datasets() -> Dict[str, Dataset]: + "none_value": other({"a": None}, {"a": Value(dtype="int64")}), diff --git a/services/worker/tests/fixtures/files.py b/services/worker/tests/fixtures/files.py index 4a2dd290..db2037c4 100644 --- a/services/worker/tests/fixtures/files.py +++ b/services/worker/tests/fixtures/files.py @@ -4,0 +5 @@ import csv +import json @@ -24,0 +26,16 @@ def csv_path(tmp_path_factory: pytest.TempPathFactory) -> str: + + +JSONL = [ + {"col_1": "0", "col_2": 0, "col_3": 0.0}, + {"col_1": None, "col_2": 1, "col_3": 1.0}, + {"col_2": 2, "col_3": 2.0}, + {"col_1": "3", "col_2": 3, "col_3": 3.0}, +] + + [email protected](scope="session") +def jsonl_path(tmp_path_factory: pytest.TempPathFactory) -> str: + path = str(tmp_path_factory.mktemp("data") / "dataset.jsonl") + with open(path, "w", newline="") as f: + f.writelines(json.dumps(o) for o in JSONL) + return path diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index ac3efdf6..0cd97628 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -216,0 +217,8 @@ def hub_gated_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: [email protected](scope="session", autouse=True) +def hub_public_jsonl(hf_api: HfApi, hf_token: str, jsonl_path: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="jsonl", file_paths=[jsonl_path]) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + @@ -292,2 +299,0 @@ def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any]) -# # column = "col" - @@ -305,0 +312,13 @@ DATA_rows = [ + +JSONL_cols = { + "col_1": {"_type": "Value", "id": None, "dtype": "string"}, + "col_2": {"_type": "Value", "id": None, "dtype": "int64"}, + "col_3": {"_type": "Value", "id": None, "dtype": "float64"}, +} +JSONL_rows = [ + {"col_1": "0", "col_2": 0, "col_3": 0.0}, + {"col_1": None, "col_2": 1, "col_3": 1.0}, + {"col_1": None, "col_2": 2, "col_3": 2.0}, + {"col_1": "3", "col_2": 3, "col_3": 3.0}, +] + @@ -393,0 +413 @@ def hub_datasets( + hub_public_jsonl, @@ -423,0 +444,5 @@ def hub_datasets( + "jsonl": { + "name": hub_public_jsonl, + "splits_response": get_splits_response(hub_public_jsonl, None, None), + "first_rows_response": get_first_rows_response(hub_public_jsonl, JSONL_cols, JSONL_rows), + }, diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index e021f2cc..6674b6bc 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -19,0 +20 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s + ("jsonl", False, None, None), diff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py index 51dce46d..fdd64607 100644 --- a/services/worker/tests/test_features.py +++ b/services/worker/tests/test_features.py @@ -276,0 +277 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: + ("none_value", {"a": None}, {"a": Value(dtype="int64", id=None)}),
ab3c931ea617748a81440e0ac9c1c5ba76301749
Sylvain Lesage
2022-10-10T20:15:51
fix: 🐛 fix tests for the Sequence cells (#605)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index f69e1e6d..b1be9ffa 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +7,2 @@ - "splits": "huggingface/datasets-server-worker:sha-7210df0", - "firstRows": "huggingface/datasets-server-worker:sha-7210df0" + "splits": "huggingface/datasets-server-worker:sha-a111310", + "firstRows": "huggingface/datasets-server-worker:sha-a111310" diff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py index a140a1e4..227278bf 100644 --- a/services/worker/src/worker/features.py +++ b/services/worker/src/worker/features.py @@ -149,0 +150,17 @@ def get_cell_value( + if type(cell) == list: + if fieldType.length >= 0 and len(cell) != fieldType.length: + raise TypeError("the cell length should be the same as the Sequence length.") + return [ + get_cell_value( + dataset, + config, + split, + row_idx, + subCell, + featureName, + fieldType.feature, + assets_base_url, + json_path + [idx] if json_path else [idx], + ) + for (idx, subCell) in enumerate(cell) + ] @@ -153,2 +170,2 @@ def get_cell_value( - if type(fieldType.feature) == dict: - if type(cell) != dict or any(type(k) != list for k in cell.values()): + if type(cell) == dict: + if any((type(v) != list) or (k not in fieldType.feature) for k, v in cell.items()): @@ -173,19 +190 @@ def get_cell_value( - # else: it must be a list - if type(cell) != list: - raise TypeError("Sequence cell must be a list or a dict.") - if fieldType.length >= 0 and len(cell) != fieldType.length: - raise TypeError("the cell length should be the same as the Sequence length.") - return [ - get_cell_value( - dataset, - config, - split, - row_idx, - subCell, - featureName, - fieldType.feature, - assets_base_url, - json_path + [idx] if json_path else [idx], - ) - for (idx, subCell) in enumerate(cell) - ] + raise TypeError("Sequence cell must be a list or a dict.")
7c53a087df85a73cdc17e1e15d562fbec3355279
Sylvain Lesage
2022-10-10T13:52:59
chore: 🤖 upgrade safety (#604)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index f7009a43..f69e1e6d 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "huggingface/datasets-server-admin:sha-7d15522", - "api": "huggingface/datasets-server-api:sha-92a9c8c", + "admin": "huggingface/datasets-server-admin:sha-7210df0", + "api": "huggingface/datasets-server-api:sha-7210df0", @@ -7,2 +7,2 @@ - "splits": "huggingface/datasets-server-worker:sha-794e2d4", - "firstRows": "huggingface/datasets-server-worker:sha-794e2d4" + "splits": "huggingface/datasets-server-worker:sha-7210df0", + "firstRows": "huggingface/datasets-server-worker:sha-7210df0" diff --git a/e2e/poetry.lock b/e2e/poetry.lock index e87b1c9e..9b087d3e 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -477 +477 @@ name = "safety" -version = "2.2.0" +version = "2.3.1" @@ -489,0 +490,4 @@ requests = "*" +[package.extras] +github = ["pygithub (>=1.43.3)", "jinja2 (>=3.1.0)"] +gitlab = ["python-gitlab (>=1.3.0)"] + diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index 8c163567..2271de73 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -471 +471 @@ name = "safety" -version = "2.2.0" +version = "2.3.1" @@ -483,0 +484,4 @@ requests = "*" +[package.extras] +github = ["pygithub (>=1.43.3)", "jinja2 (>=3.1.0)"] +gitlab = ["python-gitlab (>=1.3.0)"] + diff --git a/libs/libqueue/poetry.lock b/libs/libqueue/poetry.lock index 484f1729..8ec9a04e 100644 --- a/libs/libqueue/poetry.lock +++ b/libs/libqueue/poetry.lock @@ -127 +127 @@ name = "dparse" -version = "0.5.1" +version = "0.6.2" @@ -135 +134,0 @@ packaging = "*" -pyyaml = "*" @@ -139,0 +139 @@ pipenv = ["pipenv"] +conda = ["pyyaml"] @@ -463 +463 @@ name = "safety" -version = "2.1.1" +version = "2.3.1" @@ -471 +471 @@ Click = ">=8.0.2" -dparse = ">=0.5.1" +dparse = ">=0.6.2" @@ -475,0 +476,4 @@ requests = "*" +[package.extras] +github = ["pygithub (>=1.43.3)", "jinja2 (>=3.1.0)"] +gitlab = ["python-gitlab (>=1.3.0)"] + @@ -654,4 +658 @@ dnspython = [ -dparse = [ - {file = "dparse-0.5.1-py3-none-any.whl", hash = "sha256:e953a25e44ebb60a5c6efc2add4420c177f1d8404509da88da9729202f306994"}, - {file = "dparse-0.5.1.tar.gz", hash = "sha256:a1b5f169102e1c894f9a7d5ccf6f9402a836a5d24be80a986c7ce9eaed78f367"}, -] +dparse = [] diff --git a/libs/libutils/poetry.lock b/libs/libutils/poetry.lock index 0ac8bbe1..b1d5e7b4 100644 --- a/libs/libutils/poetry.lock +++ b/libs/libutils/poetry.lock @@ -132 +132 @@ name = "dparse" -version = "0.5.1" +version = "0.6.2" @@ -140 +139,0 @@ packaging = "*" -pyyaml = "*" @@ -144,0 +144 @@ pipenv = ["pipenv"] +conda = ["pyyaml"] @@ -436 +436 @@ name = "safety" -version = "2.1.1" +version = "2.3.1" @@ -444 +444 @@ Click = ">=8.0.2" -dparse = ">=0.5.1" +dparse = ">=0.6.2" @@ -448,0 +449,4 @@ requests = "*" +[package.extras] +github = ["pygithub (>=1.43.3)", "jinja2 (>=3.1.0)"] +gitlab = ["python-gitlab (>=1.3.0)"] + @@ -649,4 +653 @@ coverage = [ -dparse = [ - {file = "dparse-0.5.1-py3-none-any.whl", hash = "sha256:e953a25e44ebb60a5c6efc2add4420c177f1d8404509da88da9729202f306994"}, - {file = "dparse-0.5.1.tar.gz", hash = "sha256:a1b5f169102e1c894f9a7d5ccf6f9402a836a5d24be80a986c7ce9eaed78f367"}, -] +dparse = [] diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index b0c4575a..170cd2bf 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -629 +629 @@ name = "safety" -version = "2.2.0" +version = "2.3.1" @@ -641,0 +642,4 @@ requests = "*" +[package.extras] +github = ["pygithub (>=1.43.3)", "jinja2 (>=3.1.0)"] +gitlab = ["python-gitlab (>=1.3.0)"] + diff --git a/services/api/poetry.lock b/services/api/poetry.lock index a5fa534c..c28b1ea8 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -163 +163 @@ name = "dparse" -version = "0.5.1" +version = "0.6.2" @@ -171 +170,0 @@ packaging = "*" -pyyaml = "*" @@ -175,0 +175 @@ pipenv = ["pipenv"] +conda = ["pyyaml"] @@ -633 +633 @@ name = "safety" -version = "2.1.1" +version = "2.3.1" @@ -641 +641 @@ Click = ">=8.0.2" -dparse = ">=0.5.1" +dparse = ">=0.6.2" @@ -645,0 +646,4 @@ requests = "*" +[package.extras] +github = ["pygithub (>=1.43.3)", "jinja2 (>=3.1.0)"] +gitlab = ["python-gitlab (>=1.3.0)"] + @@ -931,4 +935 @@ dnspython = [ -dparse = [ - {file = "dparse-0.5.1-py3-none-any.whl", hash = "sha256:e953a25e44ebb60a5c6efc2add4420c177f1d8404509da88da9729202f306994"}, - {file = "dparse-0.5.1.tar.gz", hash = "sha256:a1b5f169102e1c894f9a7d5ccf6f9402a836a5d24be80a986c7ce9eaed78f367"}, -] +dparse = [] diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index a50d8bcd..72c4f59a 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -1674 +1674 @@ name = "safety" -version = "2.2.0" +version = "2.3.1" @@ -1686,0 +1687,4 @@ requests = "*" +[package.extras] +github = ["pygithub (>=1.43.3)", "jinja2 (>=3.1.0)"] +gitlab = ["python-gitlab (>=1.3.0)"] +
422bea8f56f05e1423807413ee406cd0c6c5bbee
Sylvain Lesage
2022-10-10T13:30:08
Support Sequence of dicts (#603)
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 937a44ff..a50d8bcd 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -348 +348 @@ name = "datasets" -version = "2.5.1" +version = "2.5.2" @@ -358 +358 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]} -huggingface-hub = ">=0.1.0,<1.0.0" +huggingface-hub = ">=0.2.0,<1.0.0" @@ -685 +685 @@ name = "huggingface-hub" -version = "0.8.1" +version = "0.10.0" @@ -701 +701 @@ torch = ["torch"] -testing = ["soundfile", "datasets", "pytest-cov", "pytest"] +testing = ["soundfile", "pytest-cov", "pytest", "jinja2", "jedi", "isort (>=5.5.4)", "InquirerPy (==0.3.4)"] @@ -703 +703 @@ tensorflow = ["graphviz", "pydot", "tensorflow"] -quality = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)"] +quality = ["mypy", "isort (>=5.5.4)", "flake8-bugbear", "flake8 (>=3.8.3)", "black (==22.3)"] @@ -705,2 +705,3 @@ fastai = ["fastcore (>=1.3.27)", "fastai (>=2.4)", "toml"] -dev = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] -all = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] +dev = ["mypy", "flake8-bugbear", "flake8 (>=3.8.3)", "black (==22.3)", "soundfile", "pytest-cov", "pytest", "jinja2", "jedi", "isort (>=5.5.4)", "InquirerPy (==0.3.4)"] +cli = ["InquirerPy (==0.3.4)"] +all = ["mypy", "flake8-bugbear", "flake8 (>=3.8.3)", "black (==22.3)", "soundfile", "pytest-cov", "pytest", "jinja2", "jedi", "isort (>=5.5.4)", "InquirerPy (==0.3.4)"] diff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py index 87bcc836..a140a1e4 100644 --- a/services/worker/src/worker/features.py +++ b/services/worker/src/worker/features.py @@ -150 +150,2 @@ def get_cell_value( - # sequence value can be a list or a dict, see + # if the internal feature of the Sequence is a dict, then the value will automatically + # be converted into a dictionary of lists. See @@ -152,18 +153,3 @@ def get_cell_value( - if type(cell) == list: - if fieldType.length >= 0 and len(cell) != fieldType.length: - raise TypeError("the cell length should be the same as the Sequence length.") - return [ - get_cell_value( - dataset, - config, - split, - row_idx, - subCell, - featureName, - fieldType.feature, - assets_base_url, - json_path + [idx] if json_path else [idx], - ) - for (idx, subCell) in enumerate(cell) - ] - elif type(cell) == dict: + if type(fieldType.feature) == dict: + if type(cell) != dict or any(type(k) != list for k in cell.values()): + raise TypeError("The value of a Sequence of dicts should be a dictionary of lists.") @@ -171,11 +157,14 @@ def get_cell_value( - key: get_cell_value( - dataset, - config, - split, - row_idx, - subCell, - featureName, - fieldType.feature[key], - assets_base_url, - json_path + [key] if json_path else [key], - ) + key: [ + get_cell_value( + dataset, + config, + split, + row_idx, + subCellItem, + featureName, + fieldType.feature[key], + assets_base_url, + json_path + [key, idx] if json_path else [key, idx], + ) + for (idx, subCellItem) in enumerate(subCell) + ] @@ -184 +173,20 @@ def get_cell_value( - raise TypeError("Sequence cell must be a list or a dict.") + # else: it must be a list + if type(cell) != list: + raise TypeError("Sequence cell must be a list or a dict.") + if fieldType.length >= 0 and len(cell) != fieldType.length: + raise TypeError("the cell length should be the same as the Sequence length.") + return [ + get_cell_value( + dataset, + config, + split, + row_idx, + subCell, + featureName, + fieldType.feature, + assets_base_url, + json_path + [idx] if json_path else [idx], + ) + for (idx, subCell) in enumerate(cell) + ] + diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index cd8219b1..d71c06ce 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -7 +7 @@ import sys -from typing import Any, Dict, List, Optional, TypedDict +from typing import Any, Dict, List, Optional, TypedDict, Union @@ -66 +66 @@ def get_rows( - hf_token: Optional[str] = None, + use_auth_token: Union[bool, str, None] = False, @@ -73 +73 @@ def get_rows( - use_auth_token=hf_token, + use_auth_token=use_auth_token, @@ -290,0 +291 @@ def get_first_rows_response( + use_auth_token: Union[bool, str, None] = hf_token if hf_token is not None else False @@ -316 +317 @@ def get_first_rows_response( - use_auth_token=hf_token, + use_auth_token=use_auth_token, @@ -328 +329 @@ def get_first_rows_response( - use_auth_token=hf_token, + use_auth_token=use_auth_token, @@ -342 +343,3 @@ def get_first_rows_response( - rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token) + rows = get_rows( + dataset, config, split, streaming=True, rows_max_number=rows_max_number, use_auth_token=use_auth_token + ) @@ -356 +359 @@ def get_first_rows_response( - hf_token=hf_token, + use_auth_token=use_auth_token, diff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py index 68a56a04..58647118 100644 --- a/services/worker/src/worker/responses/splits.py +++ b/services/worker/src/worker/responses/splits.py @@ -5 +5 @@ import logging -from typing import Dict, List, Optional, TypedDict +from typing import Dict, List, Optional, TypedDict, Union @@ -37 +37 @@ class SplitsResponse(TypedDict): -def get_dataset_split_full_names(dataset: str, hf_token: Optional[str] = None) -> List[SplitFullName]: +def get_dataset_split_full_names(dataset: str, use_auth_token: Union[bool, str, None] = False) -> List[SplitFullName]: @@ -41,2 +41,2 @@ def get_dataset_split_full_names(dataset: str, hf_token: Optional[str] = None) - - for config in get_dataset_config_names(dataset, use_auth_token=hf_token) - for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token) + for config in get_dataset_config_names(dataset, use_auth_token=use_auth_token) + for split in get_dataset_split_names(dataset, config, use_auth_token=use_auth_token) @@ -73,0 +74 @@ def get_splits_response( + use_auth_token: Union[bool, str, None] = hf_token if hf_token is not None else False @@ -76 +77 @@ def get_splits_response( - HfApi(endpoint=hf_endpoint).dataset_info(dataset, token=hf_token) + HfApi(endpoint=hf_endpoint).dataset_info(dataset, use_auth_token=use_auth_token) @@ -81 +82 @@ def get_splits_response( - split_full_names = get_dataset_split_full_names(dataset, hf_token) + split_full_names = get_dataset_split_full_names(dataset, use_auth_token) @@ -98 +99 @@ def get_splits_response( - use_auth_token=hf_token, + use_auth_token=use_auth_token, diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py index 732e2286..c50534c3 100644 --- a/services/worker/tests/fixtures/datasets.py +++ b/services/worker/tests/fixtures/datasets.py @@ -125,0 +126,3 @@ def datasets() -> Dict[str, Dataset]: + "sequence_of_dicts": other( + [{"a": {"b": 0}}, {"a": {"b": 1}}], Sequence(feature={"a": {"b": Value(dtype="int64")}}) + ), diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index b41844a5..ac3efdf6 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -19 +19 @@ from huggingface_hub.hf_api import ( # type: ignore - _raise_for_status, + hf_raise_for_status, @@ -75,2 +74,0 @@ def update_repo_settings( - token, name = hf_api._validate_or_retrieve_token(token, name, function_name="update_repo_settings") - @@ -99 +97 @@ def update_repo_settings( - _raise_for_status(r) + hf_raise_for_status(r) diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index 55f3e045..e021f2cc 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -24,2 +24,2 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s - ("gated", False, "SplitsNamesError", "FileNotFoundError"), - ("private", False, "SplitsNamesError", "FileNotFoundError"), + ("gated", False, "DatasetNotFoundError", None), + ("private", False, "DatasetNotFoundError", None), diff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py index c0b6639e..5ed63418 100644 --- a/services/worker/tests/responses/test_splits.py +++ b/services/worker/tests/responses/test_splits.py @@ -22,2 +22,2 @@ from ..utils import HF_ENDPOINT, HF_TOKEN - ("gated", False, "SplitsNamesError", "FileNotFoundError"), - ("private", False, "SplitsNamesError", "FileNotFoundError"), + ("gated", False, "DatasetNotFoundError", None), + ("private", False, "DatasetNotFoundError", None), diff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py index 127c76e2..51dce46d 100644 --- a/services/worker/tests/test_features.py +++ b/services/worker/tests/test_features.py @@ -275,0 +276 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: + ("sequence_of_dicts", {"a": [{"b": 0}, {"b": 1}]}, "Sequence"),
e956f006978ee437c4ab59657419293511751703
Sylvain Lesage
2022-10-07T09:27:47
docs: ✏️ add sections (#596)
diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index 88590966..2b5b26a4 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -1 +1 @@ -- title: Get started +- title: Get Started @@ -4,0 +5,4 @@ + - local: quick_start + title: Quickstart +- title: Guides + sections: @@ -6 +10 @@ - title: Valid datasets + title: Check dataset validity @@ -8 +12 @@ - title: Splits + title: List splits and configurations @@ -10 +14,9 @@ - title: First rows + title: Preview a dataset +- title: Conceptual Guides + sections: + - local: configs_and_splits + title: Splits and configurations + - local: data_types + title: Data types + - local: server + title: Server infrastructure diff --git a/docs/source/configs_and_splits.mdx b/docs/source/configs_and_splits.mdx new file mode 100644 index 00000000..a6e5827f --- /dev/null +++ b/docs/source/configs_and_splits.mdx @@ -0,0 +1,21 @@ +# Splits and configurations + +Machine learning datasets are commonly organized in *splits* and they may also have *configurations*. These internal structures provide the scaffolding for building out a dataset, and determines how a dataset should be split and organized. Understanding a dataset's structure can help you create your own dataset, and know which subset of data you should use when during model training and evaluation. + +![split-configs-server](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/split-configs-server.gif) + +## Splits + +Every processed and cleaned dataset contains *splits*, specific subsets of data reserved for specific needs. The most common splits are: + +* `train`: data used to train a model; this data is exposed to the model +* `validation`: data reserved for evaluation and improving model hyperparameters; this data is hidden from the model +* `test`: data reserved for evaluation only; this data is completely hidden from the model and ourselves + +The `validation` and `test` sets are especially important to ensure a model is actually learning instead of *overfitting*, or just memorizing the data. + +## Configurations + +A *configuration* is a higher-level internal structure than a split, and a configuration contains splits. You can think of a configuration as a sub-dataset contained within a larger dataset. It is a useful structure for adding additional layers of organization to a dataset. For example, if you take a look at the [Multilingual LibriSpeech (MLS)](https://huggingface.co/datasets/facebook/multilingual_librispeech) dataset, you'll notice there are eight different languages. While you can create a dataset containing all eight languages, it's probably neater to create a dataset with each language as a configuration. This way, users can instantly load a dataset with their language of interest instead of preprocessing the dataset to filter for a specific language. + +Configurations are flexible, and can be used to organize a dataset along whatever objective you'd like. For example, the [SceneParse150](https://huggingface.co/datasets/scene_parse_150) dataset uses configurations to organize the dataset by task. One configuration is dedicated to segmenting the whole image, while the other configuration is for instance segmentation. diff --git a/docs/source/data_types.mdx b/docs/source/data_types.mdx new file mode 100644 index 00000000..7a827bad --- /dev/null +++ b/docs/source/data_types.mdx @@ -0,0 +1,34 @@ +# Data types + +Datasets supported by Datasets Server have a tabular format, meaning a data point is represented in a row and its features are contained in columns. Using the `/first-rows` endpoint allows you to preview the first 100 rows of a dataset and information about each feature. Within the `features` key, you'll notice it returns a `_type` field. This value describes the data type of the column, and it is also known as a dataset's [`Features`](https://huggingface.co/docs/datasets/about_dataset_features). + +There are several different data `Features` for representing different data formats such as [`Audio`](https://huggingface.co/docs/datasets/v2.5.2/en/package_reference/main_classes#datasets.Audio) and [`Image`](https://huggingface.co/docs/datasets/v2.5.2/en/package_reference/main_classes#datasets.Image) for speech and image data respectively. Knowing a dataset feature gives you a better understanding of the data type you're working with, and how you can preprocess it. + +For example, the `/first-rows` endpoint for the [Rotten Tomatoes](https://huggingface.co/datasets/rotten_tomatoes) dataset returns the following: + +```json +{"dataset": "rotten_tomatoes", + "config": "default", + "split": "train", + "features": [{"feature_idx": 0, + "name": "text", + "type": {"dtype": "string", + "id": null, + "_type": "Value"}}, + {"feature_idx": 1, + "name": "label", + "type": {"num_classes": 2, + "names": ["neg", "pos"], + "id": null, + "_type": "ClassLabel"}}], + ... + } +``` + +This dataset has two columns, `text` and `label`: + +- The `text` column has a type of `Value`. The [`Value`](https://huggingface.co/docs/datasets/v2.5.2/en/package_reference/main_classes#datasets.Value) type is extremely versatile and represents scalar values such as strings, integers, dates, and even timestamp values. + +- The `label` column has a type of `ClassLabel`. The [`ClassLabel`](https://huggingface.co/docs/datasets/v2.5.2/en/package_reference/main_classes#datasets.ClassLabel) type represents the number of classes in a dataset and their label names. Naturally, this means you'll frequently see `ClassLabel` used in classification datasets. + +For a complete list of available data types, take a look at the [`Features`](https://huggingface.co/docs/datasets/v2.5.2/en/package_reference/main_classes#datasets.Features) documentation. diff --git a/docs/source/first_rows.mdx b/docs/source/first_rows.mdx index 6c3124c7..df387525 100644 --- a/docs/source/first_rows.mdx +++ b/docs/source/first_rows.mdx @@ -1 +1 @@ -# First rows +# Preview a dataset @@ -3 +3 @@ -The endpoint `/first-rows` provides the columns and the first rows of a dataset [split](./splits). +Datasets Server provides a `/first-rows` endpoint for visualizing the first 100 rows of a dataset. This'll give you a good idea of the data types and example data contained in a dataset. @@ -5,3 +5 @@ The endpoint `/first-rows` provides the columns and the first rows of a dataset -``` -https://datasets-server.huggingface.co/first-rows?dataset={dataset}&config={config}&split={split} -``` +![dataset-viewer](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/dataset-viewer.png) @@ -9 +7,7 @@ https://datasets-server.huggingface.co/first-rows?dataset={dataset}&config={conf -The endpoint takes three query parameters: +<Tip warning={true}> + Currently, only {" "} + <a href="https://huggingface.co/docs/datasets/stream">streamable</a> datasets + are supported so Datasets Server can extract the first 100 rows without downloading the + whole dataset. This is especially useful for large datasets where downloading + an entire dataset may take hours! +</Tip> @@ -11,5 +15 @@ The endpoint takes three query parameters: -| Query parameters | | -| :--------------------- | :----------------------------------------------------------------------------- | -| **dataset** (required) | the dataset name, for example `glue` or `mozilla-foundation/common_voice_10_0` | -| **config** (required) | the configuration name, for example `cola` | -| **split** (required) | the split name, for example `train` | +This guide shows you how to use Datasets Server's `/first-rows` endpoint to preview a dataset. Feel free to also try it out with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-32d6a8be-b800-446a-8cee-f6b5ca1710df), [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), or [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listFirstRows). @@ -17 +17,5 @@ The endpoint takes three query parameters: -Try it in your [browser](https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&split=train), with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-32d6a8be-b800-446a-8cee-f6b5ca1710df), with [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listFirstRows), or programmatically. Pass your API token if you query a [gated dataset](https://huggingface.co/docs/hub/datasets-gated). +The `/first-rows` endpoint accepts three query parameters: + +- `dataset`: the dataset name, for example `glue` or `mozilla-foundation/common_voice_10_0` +- `config`: the configuration name, for example `cola` +- `split`: the split name, for example `train` @@ -59,19 +63 @@ curl https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=Self -The response is a JSON. The first 100 rows, or all the rows if the split contains less than 100 rows, are returned under the `rows` key. The list of columns (called [features](https://huggingface.co/docs/datasets/about_dataset_features) to stick with the `datasets` library) contain the data type and are returned under the `features` key. The `dataset`, `config` and `split` fields are also provided in the response. - -| Response | | -| :----------- | :--------------------- | -| **dataset** | the dataset name | -| **config** | the configuration name | -| **split** | the split name | -| **features** | the list of features | -| **rows** | the list of rows | - -The detail of every feature is: - -| Response: feature fields | | -| :----------------------- | :-------------------------------------------------------------------------------------------------------------------- | -| **feature_idx** | the index of the column | -| **name** | the name of the column | -| **type** | the [feature type](https://huggingface.co/docs/datasets/about_dataset_features) as defined by the 🤗 Datasets library | - -The detail of every row is: +The endpoint response is a JSON containing two keys: @@ -79,5 +65,2 @@ The detail of every row is: -| Response: row fields | | -| :------------------- | :---------------------------------------------------------------------------- | -| **row_idx** | the index of the row | -| **row** | the content of the row, with one field for each column | -| **truncated_cells** | the list of truncated cells. See [Truncated responses](#truncated-responses). | +- The [`features`](https://huggingface.co/docs/datasets/about_dataset_features) of a dataset, including the column's name and data type. +- The first 100 `rows` of a dataset and the content contained in each column of a specific row. @@ -85 +68 @@ The detail of every row is: -For example, here are the features and the first rows of the `duorc` / `SelfRC` train split. +For example, here are the `features` and the first 100 `rows` of the `duorc`/`SelfRC` train split: @@ -170 +153 @@ For example, here are the features and the first rows of the `duorc` / `SelfRC` -When the response size for 100 rows is too big, the last rows are removed until the response size is under 1MB. +For some datasets, the response size from `/first-rows` may exceed 1MB, in which case the response is truncated until the size is under 1MB. This means you may not get 100 rows in your response because the rows are truncated. @@ -172 +155 @@ When the response size for 100 rows is too big, the last rows are removed until -If even the first rows generate a response that does not fit within the limit, the content of the cells themselves is truncated and converted to a string. In this case, the truncated cells are listed in the `truncated_cells` field. +In some cases, if even the first few rows generate a response that exceeds 1MB, some of the columns are truncated and converted to a string. You'll see these listed in the `truncated_cells` field. @@ -174 +157 @@ If even the first rows generate a response that does not fit within the limit, t -See for example the [`ett`](https://datasets-server.huggingface.co/first-rows?dataset=ett&config=m2&split=test) dataset: only 10 rows are returned, and the content of two of the columns are truncated. +For example, the [`ett`](https://datasets-server.huggingface.co/first-rows?dataset=ett&config=m2&split=test) dataset only returns 10 rows, and the `target` and `feat_dynamic_real` columns are truncated: diff --git a/docs/source/index.mdx b/docs/source/index.mdx index 4e93c9cb..80bea0e9 100644 --- a/docs/source/index.mdx +++ b/docs/source/index.mdx @@ -1 +1 @@ -# Datasets server +# Datasets Server @@ -3 +3 @@ -Integrate into your apps over 10,000 [datasets](https://huggingface.co/datasets) via simple HTTP requests, with pre-processed responses and scalability built-in. +Datasets Server is a lightweight web API for visualizing and exploring all types of datasets - computer vision, speech, text, and tabular - stored on the Hugging Face [Hub](https://huggingface.co/datasets). As datasets increase in size and data type richness, the cost of preprocessing (storage and compute) these datasets can be challenging and time-consuming. To help users access these modern datasets, Datasets Server runs a server behind the scenes to generate the API responses ahead of time and stores it in a database so they are instantly returned when you make a query through the API. @@ -5 +5 @@ Integrate into your apps over 10,000 [datasets](https://huggingface.co/datasets) -## Main features +Let Datasets Server take care of the heavy lifting so you can: @@ -7,6 +7,2 @@ Integrate into your apps over 10,000 [datasets](https://huggingface.co/datasets) -- Access **10,000+ Machine Learning datasets** -- Get instantaneous responses to **pre-processed** long-running queries -- Access **metadata and data**: list of splits, list of columns and data types, 100 first rows -- Download **images and audio files** (first 100 rows) -- Handle **any kind of dataset** thanks to the [🤗 Datasets](https://github.com/huggingface/datasets) library -- See it in action in the [dataset viewer](https://huggingface.co/docs/hub/datasets-viewer) on the Hub. +* Get instantaneous responses to information, such as the dataset splits, column and data types, about a dataset through a simple REST API. +* Download and preview the first 100 rows of any dataset. @@ -14,32 +10 @@ Integrate into your apps over 10,000 [datasets](https://huggingface.co/datasets) -## Endpoints - -The base URL of the REST API is - -``` -https://datasets-server.huggingface.co -``` - -The API provides the following endpoints: - -| Endpoint | Method | Description | Query parameters | -| --------------------------- | ------ | -------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- | -| [/valid](./valid) | GET | Get the list of datasets hosted in the Hub and supported by the datasets server. | | -| [/splits](./splits) | GET | Get the list of configurations and splits of a dataset. | `dataset`: name of the dataset | -| [/first-rows](./first-rows) | GET | Get the columns (with data type) and first rows of a dataset split. | - `dataset`: name of the dataset<br>- `config`: name of the config<br>- `split`: name of the split | - -## Get your API Token - -To get started you need to: - -- [Register](https://huggingface.co/join) or [Login](https://huggingface.co/login). -- Get your API token [in your Hugging Face profile](https://huggingface.co/settings/tokens). - -You should see a token `hf_xxxxx`. - -If you do not submit your API token when sending requests to the API, you will not be able to access [gated datasets](https://huggingface.co/docs/hub/datasets-gated), such as [Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_10_0), [OSCAR](oscar-corpus/OSCAR-2109) or [ImageNet](https://huggingface.co/datasets/imagenet-1k). - -## OpenAPI specification - -The OpenAPI specification (fka Swagger) is published at https://datasets-server.huggingface.co/openapi.json. - -Explore it and **run the queries** with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json), [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053) or [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api/). +Join the growing community on the [forum](https://discuss.huggingface.co/) or [Discord](https://discord.com/invite/JfAtkvEtRb) today, and give the [Datasets Server repository](https://huggingface.co/docs/datasets-server/index) a ⭐️ if you're interested in the latest updates! diff --git a/docs/source/quick_start.mdx b/docs/source/quick_start.mdx new file mode 100644 index 00000000..5b2e58ef --- /dev/null +++ b/docs/source/quick_start.mdx @@ -0,0 +1,238 @@ +# Quickstart + +In this quickstart, you'll learn how to use the Datasets Server's REST API to: + +* Check whether a dataset on the Hub is functional. +* Return the configuration and splits of a dataset. +* Preview the first 100 rows of a dataset. + +Each feature is served through an endpoint summarized in the table below: + +| Endpoint | Method | Description | Query parameters | | +|-----------------------------|--------|----------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------|---| +| [/valid](./valid) | GET | Get the list of datasets hosted in the Hub and supported by the datasets server. | none | | +| [/is-valid](./valid) | GET | Check whether a specific dataset is valid. | `dataset`: name of the dataset | | +| [/splits](./splits) | GET | Get the list of configurations and splits of a dataset. | `dataset`: name of the dataset | | +| [/first-rows](./first-rows) | GET | Get the columns (with data type) and first rows of a dataset split. | - `dataset`: name of the dataset<br>- `config`: name of the config<br>- `split`: name of the split | | + +There is no installation or setup required to use Datasets Server. + +<Tip> + +Sign up for a <a href="https://huggingface.co/join">Hugging Face account</a> if you don't already have one! While you can use Datasets Server without a Hugging Face account, you won't be able to access <a href="https://huggingface.co/docs/hub/datasets-gated">gated datasets</a> like <a href="https://huggingface.co/datasets/mozilla-foundation/common_voice_10_0">CommonVoice</a> and <a href="https://huggingface.co/datasets/imagenet-1k">ImageNet</a> without providing a <a href="https://huggingface.co/settings/tokens">user token</a> which you can find in your user settings. + +</Tip> + +Feel free to try out the API in [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053), [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json) or [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api/). This quickstart will show you how to query the endpoints programmatically. + +The base URL of the REST API is: + +``` +https://datasets-server.huggingface.co +``` + +## Gated datasets + +For gated datasets, you'll need to provide your user token in `headers` of your query. Otherwise, you'll get an error message to retry with authentication. + +<inferencesnippet> +<python> +```python +import requests +headers = {"Authorization": f"Bearer {API_TOKEN}"} +API_URL = "https://datasets-server.huggingface.co/is-valid?dataset=mozilla-foundation/common_voice_10_0" +def query(): + response = requests.request("GET", API_URL, headers=headers) + return response.json() +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes", + { + headers: { Authorization: `Bearer ${API_TOKEN}` }, + method: "GET", + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes \ + -X GET \ + -H "Authorization: Bearer ${API_TOKEN}" +``` +</curl> +</inferencesnippet> + +## Check dataset validity + +The `/valid` endpoint returns a JSON list of datasets stored on the Hub that load without any errors: + +<inferencesnippet> +<python> +```python +import requests +API_URL = "https://datasets-server.huggingface.co/valid" +def query(): + response = requests.request("GET", API_URL) + return response.json() +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/valid", + { + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/valid \ + -X GET +``` +</curl> +</inferencesnippet> + +To check whether a specific dataset is valid, for example, [Rotten Tomatoes](https://huggingface.co/datasets/rotten_tomatoes), use the `/is-valid` endpoint instead: + +<inferencesnippet> +<python> +```python +import requests +API_URL = "https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes" +def query(): + response = requests.request("GET", API_URL) + return response.json() +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes", + { + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes \ + -X GET +``` +</curl> +</inferencesnippet> + +## List configurations and splits + +The `/splits` endpoint returns a JSON list of the splits in a dataset: + +<inferencesnippet> +<python> +```python +import requests +API_URL = "https://datasets-server.huggingface.co/splits?dataset=rotten_tomatoes" +def query(): + response = requests.request("GET", API_URL) + return response.json() +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/splits?dataset=rotten_tomatoes", + { + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/splits?dataset=rotten_tomatoes \ + -X GET +``` +</curl> +</inferencesnippet> + +## Preview a dataset + +The `/first-rows` endpoint returns a JSON list of the first 100 rows of a dataset. You should specify the dataset name, configuration name (you can find out the configuration name from the `/splits` endpoint), and split name of the dataset you'd like to preview: + +<inferencesnippet> +<python> +```python +import requests +API_URL = "https://datasets-server.huggingface.co/first-rows?dataset=rotten_tomatoes&config=default&split=train" +def query(): + response = requests.request("GET", API_URL) + return response.json() +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/first-rows?dataset=rotten_tomatoes&config=default&split=train", + { + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/first-rows?dataset=rotten_tomatoes&config=default&split=train \ + -X GET +``` +</curl> +</inferencesnippet> diff --git a/docs/source/server.mdx b/docs/source/server.mdx new file mode 100644 index 00000000..8ed2262d --- /dev/null +++ b/docs/source/server.mdx @@ -0,0 +1,33 @@ +# Server infrastructure + +The Datasets Server has two main components that work together to return queries about a dataset instantly: + +* a user-facing web API for exploring and returning information about a dataset +* a server runs the queries ahead of time and caches them in a database + +While most of the documentation is focused on the web API, the server is crucial because it performs all the time-consuming preprocessing and stores the results so the web API can retrieve and serve them to the user. This saves a user time because instead of generating the response every time it gets requested, Datasets Server can return the preprocessed results instantly from the cache. + +There are three elements that keep the server running: the job queue, workers, and the cache. + +## Job queue + +The job queue is a list of jobs stored in a Mongo database that should be completed by the workers. The jobs are practically identical to the endpoints the user uses; only the server runs the jobs ahead of time, and the user gets the results when they use the endpoint. + +There are two jobs: + +- `splits` corresponds to the `/splits` endpoint. It refreshes a dataset and then returns that dataset's splits and configurations. For every split in the dataset, it'll create a new job. +- `first-rows` corresponds to the `/first-rows` endpoint. It gets the first 100 rows and columns of a dataset split. + +You might've noticed the `/valid` and `/is-valid` endpoints don't have a job in the queue. The responses from these endpoints are generated on demand. + +## Workers + +Workers are responsible for executing the jobs in the queue. They complete the actual preprocessing requests, such as getting a list of splits and configurations. The workers can be controlled by configurable environment variables, like the minimum or the maximum number of rows returned by a worker or the maximum number of jobs to start per dataset. + +Take a look at the [worker configuration](https://github.com/huggingface/datasets-server/tree/main/services/worker#configuration) for a complete list of the environment variables if you're interested in learning more. + +## Cache + +Once the workers complete a job, the results are stored - or *cached* - in a Mongo database. When a user makes a request with an endpoint like `/first-rows`, Datasets Server retrieves the preprocessed response from the cache, and serves it to the user. This eliminates the time a user would've waited if the server hadn't already completed the job and stored the response. + +As a result, users can get their requested information about a dataset (even large ones) nearly instantaneously! diff --git a/docs/source/splits.mdx b/docs/source/splits.mdx index 538cdebd..1a924579 100644 --- a/docs/source/splits.mdx +++ b/docs/source/splits.mdx @@ -1 +1 @@ -# Splits +# List splits and configurations @@ -3 +3 @@ -The datasets aimed at training and evaluating a Machine Learning model are generally divided into multiple _[splits](https://huggingface.co/docs/datasets/load_hub#splits)_, for example `train`, `test` and `validation`. +Datasets typically have splits and may also have configurations. A *split* is a subset of the dataset, like `train` and `test`, that are used during different stages of training and evaluating a model. A *configuration* is a sub-dataset contained within a larger dataset. Configurations are especially common in multilingual speech datasets where there may be a different configuration for each language. If you're interested in learning more about splits and configurations, check out the [Load a dataset from the Hub tutorial](https://huggingface.co/docs/datasets/main/en/load_hub)! @@ -5 +5,7 @@ The datasets aimed at training and evaluating a Machine Learning model are gener -Some datasets also use _[configurations](https://huggingface.co/docs/datasets/load_hub#configurations)_ (sub-datasets) to group similar examples: [CommonVoice](https://huggingface.co/datasets/mozilla-foundation/common_voice_10_0)'s configurations embed the audio recordings of each language ; [GLUE](https://huggingface.co/datasets/glue) provides one configuration for every evaluation task. +<Tip warning={true}> + Currently, only {" "} + <a href="https://huggingface.co/docs/datasets/stream">streamable</a> datasets + are supported so Datasets Server can extract the first 100 rows without downloading the + whole dataset. This is especially useful for large datasets where downloading + an entire dataset may take hours! +</Tip> @@ -7 +13 @@ Some datasets also use _[configurations](https://huggingface.co/docs/datasets/lo -Read more in depth about the concepts in the [🤗 Datasets library documentation](https://huggingface.co/docs/datasets). +This guide shows you how to use Datasets Server's `/split` endpoint to retrieve a dataset's splits and configurations programmatically. Feel free to also try it out with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-f0cde3b9-c2ee-4062-aaca-65c4cfdd96f8), [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), or [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listSplits) @@ -9,13 +15 @@ Read more in depth about the concepts in the [🤗 Datasets library documentatio -The /splits endpoints gives the **list of configurations and splits** of a dataset. - -``` -https://datasets-server.huggingface.co/splits?dataset={dataset} -``` - -The endpoint takes one query parameter: - -| Query parameter | | -| :--------------------- | :----------------------------------------------------------------------------- | -| **dataset** (required) | the dataset name, for example `glue` or `mozilla-foundation/common_voice_10_0` | - -Try it in your [browser](https://huggingface.co/datasets/splits?dataset=duorc), with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-f0cde3b9-c2ee-4062-aaca-65c4cfdd96f8), with [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listSplits), or programmatically. Pass your API token if you query a [gated dataset](https://huggingface.co/docs/hub/datasets-gated). +The `/split` endpoint accepts the dataset name as it's query parameter: @@ -63,11 +57 @@ curl https://datasets-server.huggingface.co/splits?dataset=duorc \ -The response is a JSON. The list of splits is nested under the `splits` key. The fields of every split are: - -| Response: split fields | | -| :--------------------- | :------------------------------------- | -| **dataset** | the name of the dataset | -| **config** | the name of the configuration | -| **split** | the name of the split | -| **num_bytes** | the size in bytes (can be `null`) | -| **num_examples** | the number of examples (can be `null`) | - -For example, the [duorc](https://huggingface.co/datasets/duorc) dataset has six splits and two configurations: +The endpoint response is a JSON containing a list of the dataset's splits and configurations. For example, the [duorc](https://huggingface.co/datasets/duorc) dataset has six splits and two configurations: diff --git a/docs/source/valid.mdx b/docs/source/valid.mdx index dabdb8b8..116db98c 100644 --- a/docs/source/valid.mdx +++ b/docs/source/valid.mdx @@ -1 +1 @@ -# Valid datasets +# Check dataset validity @@ -3 +3,6 @@ -Some Hub repositories cannot be loaded with the [🤗 Datasets](https://github.com/huggingface/datasets) library, for example because the data has still to be uploaded, or the format is not supported. The API endpoints will return an error for such datasets. +Before you download a dataset from the Hub, it is helpful to know which datasets are available or if a specific dataset you're interested in is available. Datasets Server provides two endpoints for verifying whether a dataset is valid or not: + +* `/valid` returns a list of all the datasets that work without any errors. +* `/is-valid` checks if a specific dataset works without any errors. + +The API endpoints will return an error for datasets that cannot be loaded with the [🤗 Datasets](https://github.com/huggingface/datasets) library, for example, because the data hasn't been uploaded or the format is not supported. @@ -6 +11 @@ Some Hub repositories cannot be loaded with the [🤗 Datasets](https://github.c - Currently, only the{" "} + Currently, only {" "} @@ -8,2 +13,3 @@ Some Hub repositories cannot be loaded with the [🤗 Datasets](https://github.c - are supported, to allow extracting the 100 first rows without downloading the - whole dataset. + are supported so Datasets Server can extract the 100 first rows without downloading the + whole dataset. This is especially useful for previewing large datasets where downloading + the whole dataset may take hours! @@ -12 +18 @@ Some Hub repositories cannot be loaded with the [🤗 Datasets](https://github.c -The `/valid` endpoint gives the **list of the Hub datasets** that work without an error. +This guide shows you how to check dataset validity programmatically, but free to try it out with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-17b761d0-b2b8-4638-a4f7-73be9049c324), [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), or [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listValidDatasets). @@ -14,3 +20 @@ The `/valid` endpoint gives the **list of the Hub datasets** that work without a -``` -https://datasets-server.huggingface.co/valid -``` +## Get all valid datasets @@ -18,3 +22 @@ https://datasets-server.huggingface.co/valid -The endpoint takes no query parameters. - -Try it in your [browser](https://datasets-server.huggingface.co/valid), with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-17b761d0-b2b8-4638-a4f7-73be9049c324), with [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listValidDatasets), or programmatically: +The `/valid` endpoint returns a list of Hub datasets that are expected to load without any errors. This endpoint takes no query parameters: @@ -59 +61 @@ curl https://datasets-server.huggingface.co/valid \ -The response is a JSON. The list of names of the valid datasets is nested under the `valid` key: +The endpoint response is a JSON containing a list valid datasets nested under the `valid` key: @@ -71,0 +74,60 @@ The response is a JSON. The list of names of the valid datasets is nested under + +## Check if a dataset is valid + +On the other hand, `/is-valid` checks whether a specific dataset loads without any error. This endpoint's query parameter requires you to specify the name of the dataset: + +<inferencesnippet> +<python> +```python +import requests +headers = {"Authorization": f"Bearer {API_TOKEN}"} +API_URL = "https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes" +def query(): + response = requests.request("GET", API_URL, headers=headers) + return response.json() +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes", + { + headers: { Authorization: `Bearer ${API_TOKEN}` }, + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/is-valid?dataset=rotten_tomatoes \ + -X GET \ + -H "Authorization: Bearer ${API_TOKEN}" +``` +</curl> +</inferencesnippet> + +The response looks like this if a dataset is valid: + +```json +{"valid": true} +``` + +If a dataset is not valid, then the response looks like: + +```json +{"valid": false} +``` + +<Tip> + Remember if a dataset is <a href="./quick_start#gated-datasets">gated</a>, you'll need to provide your user token to submit a successful query! +</Tip>
319139f88aeb0be7df4a84cd07f8bcdaf3de8d70
Sylvain Lesage
2022-10-05T13:09:05
feat: 🎸 change the format of the image cells in /first-rows (#600)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 3ea8f6fe..f7009a43 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +7,2 @@ - "splits": "huggingface/datasets-server-worker:sha-92a9c8c", - "firstRows": "huggingface/datasets-server-worker:sha-92a9c8c" + "splits": "huggingface/datasets-server-worker:sha-794e2d4", + "firstRows": "huggingface/datasets-server-worker:sha-794e2d4" diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 6a632c3e..0aff92b7 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -781,2 +781,16 @@ - "type": "string", - "format": "uri" + "type": "array", + "items": { + "type": "object", + "properties": { + "src": { + "type": "string", + "format": "uri" + }, + "height": { + "type": "integer" + }, + "width": { + "type": "integer" + } + } + } @@ -1454,2 +1468,10 @@ - "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageA/image.jpg", - "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageB/image.jpg" + "imageA": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageA/image.jpg", + "height": 256, + "width": 256 + }, + "imageB": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageB/image.jpg", + "height": 256, + "width": 256 + } @@ -1462,2 +1484,10 @@ - "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageA/image.jpg", - "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageB/image.jpg" + "imageA": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageA/image.jpg", + "height": 256, + "width": 256 + }, + "imageB": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageB/image.jpg", + "height": 256, + "width": 256 + } @@ -1470,2 +1500,10 @@ - "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageA/image.jpg", - "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageB/image.jpg" + "imageA": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageA/image.jpg", + "height": 256, + "width": 256 + }, + "imageB": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageB/image.jpg", + "height": 256, + "width": 256 + } @@ -1478,2 +1516,10 @@ - "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageA/image.jpg", - "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageB/image.jpg" + "imageA": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageA/image.jpg", + "height": 256, + "width": 256 + }, + "imageB": { + "url": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageB/image.jpg", + "height": 256, + "width": 256 + } diff --git a/services/worker/src/worker/asset.py b/services/worker/src/worker/asset.py index 0ba0f33a..1350471b 100644 --- a/services/worker/src/worker/asset.py +++ b/services/worker/src/worker/asset.py @@ -30,0 +31,6 @@ def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column +class ImageSource(TypedDict): + src: str + height: int + width: int + + @@ -40 +46 @@ def create_image_file( -) -> str: +) -> ImageSource: @@ -44 +50,5 @@ def create_image_file( - return f"{assets_base_url}/{url_dir_path}/{filename}" + return { + "src": f"{assets_base_url}/{url_dir_path}/{filename}", + "height": image.height, + "width": image.width, + } diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index efcc4d49..b41844a5 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -350 +350,5 @@ def get_IMAGE_rows(dataset: str): - "col": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image.jpg", + "col": { + "src": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image.jpg", + "height": 480, + "width": 640, + }, @@ -371,2 +375,10 @@ def get_IMAGES_LIST_rows(dataset: str): - f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image-1d100e9.jpg", - f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image-1d300ea.jpg", + { + "src": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image-1d100e9.jpg", + "height": 480, + "width": 640, + }, + { + "src": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image-1d300ea.jpg", + "height": 480, + "width": 640, + }, diff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py index fc7a4a71..127c76e2 100644 --- a/services/worker/tests/test_features.py +++ b/services/worker/tests/test_features.py @@ -131 +131,9 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: - ("image", "http://localhost/assets/dataset/--/config/split/7/col/image.jpg", "Image"), + ( + "image", + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/image.jpg", + "height": 480, + "width": 640, + }, + "Image", + ), @@ -144,2 +152,10 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: - "http://localhost/assets/dataset/--/config/split/7/col/image-1d100e9.jpg", - "http://localhost/assets/dataset/--/config/split/7/col/image-1d300ea.jpg", + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/image-1d100e9.jpg", + "height": 480, + "width": 640, + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/image-1d300ea.jpg", + "height": 480, + "width": 640, + }, @@ -178,2 +194,10 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: - "http://localhost/assets/dataset/--/config/split/7/col/image-1d100e9.jpg", - "http://localhost/assets/dataset/--/config/split/7/col/image-1d300ea.jpg", + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/image-1d100e9.jpg", + "height": 480, + "width": 640, + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/image-1d300ea.jpg", + "height": 480, + "width": 640, + }, @@ -214,2 +238,10 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: - "http://localhost/assets/dataset/--/config/split/7/col/image-89101db.jpg", - "http://localhost/assets/dataset/--/config/split/7/col/image-89301dc.jpg", + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/image-89101db.jpg", + "height": 480, + "width": 640, + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/image-89301dc.jpg", + "height": 480, + "width": 640, + },
373ef57f4fcaeb0fb7c8ede25ff0a36b8605901f
Sylvain Lesage
2022-09-30T13:56:37
feat: 🎸 add a query on the features of the datasets (#598)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 07127f0a..3ea8f6fe 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "huggingface/datasets-server-admin:sha-92a9c8c", + "admin": "huggingface/datasets-server-admin:sha-7d15522", diff --git a/libs/libcache/dist/libcache-0.2.2-py3-none-any.whl b/libs/libcache/dist/libcache-0.2.2-py3-none-any.whl new file mode 100644 index 00000000..1c3115f8 Binary files /dev/null and b/libs/libcache/dist/libcache-0.2.2-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.2.2.tar.gz b/libs/libcache/dist/libcache-0.2.2.tar.gz new file mode 100644 index 00000000..c09f9c17 Binary files /dev/null and b/libs/libcache/dist/libcache-0.2.2.tar.gz differ diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index f89d4617..8c163567 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -135 +135 @@ name = "dparse" -version = "0.5.1" +version = "0.6.2" @@ -143 +142,0 @@ packaging = "*" -pyyaml = "*" @@ -147,0 +147 @@ pipenv = ["pipenv"] +conda = ["pyyaml"] @@ -471 +471 @@ name = "safety" -version = "2.1.1" +version = "2.2.0" @@ -479 +479 @@ Click = ">=8.0.2" -dparse = ">=0.5.1" +dparse = ">=0.6.2" @@ -666,4 +666 @@ dnspython = [ -dparse = [ - {file = "dparse-0.5.1-py3-none-any.whl", hash = "sha256:e953a25e44ebb60a5c6efc2add4420c177f1d8404509da88da9729202f306994"}, - {file = "dparse-0.5.1.tar.gz", hash = "sha256:a1b5f169102e1c894f9a7d5ccf6f9402a836a5d24be80a986c7ce9eaed78f367"}, -] +dparse = [] diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index b1dfe670..65cbe938 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5 +5 @@ name = "libcache" -version = "0.2.1" +version = "0.2.2" diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 73e99dd9..0f31b86b 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -8 +8 @@ from http import HTTPStatus -from typing import Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVar +from typing import Any, Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVar @@ -402,0 +403,63 @@ def get_cache_reports_first_rows(cursor: Optional[str], limit: int) -> CacheRepo +class FeaturesResponseReport(TypedDict): + dataset: str + config: str + split: str + features: Optional[List[Any]] + + +class CacheReportFeatures(TypedDict): + cache_reports: List[FeaturesResponseReport] + next_cursor: str + + +def get_cache_reports_features(cursor: Optional[str], limit: int) -> CacheReportFeatures: + """ + Get a list of reports on the features (columns), grouped by splits, along with the next cursor. + See https://solovyov.net/blog/2020/api-pagination-design/. + Args: + cursor (`str`): + An opaque string value representing a pointer to a specific FirstRowsResponse item in the dataset. The + server returns results after the given pointer. + An empty string means to start from the beginning. + limit (strictly positive `int`): + The maximum number of results. + Returns: + [`CacheReportFeatures`]: A dict with the list of reports and the next cursor. The next cursor is + an empty string if there are no more items to be fetched. + <Tip> + Raises the following errors: + - [`~libcache.simple_cache.InvalidCursor`] + If the cursor is invalid. + - [`~libcache.simple_cache.InvalidLimit`] + If the limit is an invalid number. + </Tip> + """ + if not cursor: + queryset = FirstRowsResponse.objects() + else: + try: + queryset = FirstRowsResponse.objects(id__gt=ObjectId(cursor)) + except InvalidId as err: + raise InvalidCursor("Invalid cursor.") from err + if limit <= 0: + raise InvalidLimit("Invalid limit.") + objects = list( + queryset(response__features__exists=True) + .order_by("+id") + .only("id", "dataset_name", "config_name", "split_name", "response.features") + .limit(limit) + ) + return { + "cache_reports": [ + { + "dataset": object.dataset_name, + "config": object.config_name, + "split": object.split_name, + "features": object.response["features"], + } + for object in objects + ], + "next_cursor": "" if len(objects) < limit else str(objects[-1].id), + } + + diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index 78a6e5f8..939c9499 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -17,0 +18 @@ from libcache.simple_cache import ( + get_cache_reports_features, @@ -424,0 +426,93 @@ def test_stress_get_cache_reports_first_rows(num_entries: int) -> None: + + +def test_get_cache_reports_features() -> None: + assert get_cache_reports_features("", 2) == {"cache_reports": [], "next_cursor": ""} + upsert_first_rows_response( + "a", + "config", + "split", + {"key": "value"}, + HTTPStatus.OK, + ) + b_details = { + "error": "error B", + "cause_exception": "ExceptionB", + "cause_message": "Cause message B", + "cause_traceback": ["B"], + } + upsert_first_rows_response( + "b", + "config", + "split", + b_details, + HTTPStatus.INTERNAL_SERVER_ERROR, + "ErrorCodeB", + b_details, + ) + upsert_first_rows_response( + "c", + "config", + "split", + {"features": "value"}, + HTTPStatus.OK, + ) + upsert_first_rows_response( + "d", + "config", + "split", + {"features": "value2"}, + HTTPStatus.OK, + ) + upsert_first_rows_response( + "e", + "config", + "split", + {"features": "value3"}, + HTTPStatus.OK, + ) + response = get_cache_reports_features("", 2) + assert response["cache_reports"] == [ + {"dataset": "c", "config": "config", "split": "split", "features": "value"}, + {"dataset": "d", "config": "config", "split": "split", "features": "value2"}, + ] + assert response["next_cursor"] != "" + next_cursor = response["next_cursor"] + + response = get_cache_reports_features(next_cursor, 2) + assert response == { + "cache_reports": [ + {"dataset": "e", "config": "config", "split": "split", "features": "value3"}, + ], + "next_cursor": "", + } + + with pytest.raises(InvalidCursor): + get_cache_reports_features("not an objectid", 2) + with pytest.raises(InvalidLimit): + get_cache_reports_features(next_cursor, -1) + with pytest.raises(InvalidLimit): + get_cache_reports_features(next_cursor, 0) + + [email protected]("num_entries", [100, 1_000]) +def test_stress_get_cache_reports_features(num_entries: int) -> None: + MAX_SECONDS = 0.1 + assert get_cache_reports_features("", 2) == {"cache_reports": [], "next_cursor": ""} + split_names = [f"split{i}" for i in range(num_entries)] + for split_name in split_names: + upsert_first_rows_response( + "dataset", + "config", + split_name, + {"features": "value"}, + HTTPStatus.OK, + ) + + next_cursor = "" + is_first: bool = True + while next_cursor != "" or is_first: + start = process_time() + is_first = False + response = get_cache_reports_features(next_cursor, 100) + next_cursor = response["next_cursor"] + assert process_time() - start < MAX_SECONDS diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 563897c2..b0c4575a 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -163 +163 @@ name = "dparse" -version = "0.5.1" +version = "0.6.2" @@ -171 +170,0 @@ packaging = "*" -pyyaml = "*" @@ -175,0 +175 @@ pipenv = ["pipenv"] +conda = ["pyyaml"] @@ -289 +289 @@ name = "libcache" -version = "0.2.1" +version = "0.2.2" @@ -303 +303 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.2.1-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.2.2-py3-none-any.whl" @@ -629 +629 @@ name = "safety" -version = "2.1.1" +version = "2.2.0" @@ -637 +637 @@ Click = ">=8.0.2" -dparse = ">=0.5.1" +dparse = ">=0.6.2" @@ -798 +798 @@ python-versions = "3.9.6" -content-hash = "cf09e082676bb258b556347289a0d3fa7d0d629879107d3deaf82de0bd10a7d1" +content-hash = "02ecb4f6d1a72a749e9ef3c55cc27c117e3955cb239c00b8d36bebbd440b74e5" @@ -913,4 +913 @@ dnspython = [ -dparse = [ - {file = "dparse-0.5.1-py3-none-any.whl", hash = "sha256:e953a25e44ebb60a5c6efc2add4420c177f1d8404509da88da9729202f306994"}, - {file = "dparse-0.5.1.tar.gz", hash = "sha256:a1b5f169102e1c894f9a7d5ccf6f9402a836a5d24be80a986c7ce9eaed78f367"}, -] +dparse = [] @@ -951 +948 @@ libcache = [ - {file = "libcache-0.2.1-py3-none-any.whl", hash = "sha256:62c57b8e12a70241106cd9bcc7b845b40ba5ff9dd6423691de269a42f507943f"}, + {file = "libcache-0.2.2-py3-none-any.whl", hash = "sha256:682aecaedf5782d7048b0ab0fed7bdd1e399cd06dbe2a3db31d1b3951a328559"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 0c2b27bf..62bcac2a 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -10 +10 @@ huggingface-hub = "^0.8.1" -libcache = { path = "../../libs/libcache/dist/libcache-0.2.1-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.2.2-py3-none-any.whl", develop = false } diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index 333e2063..8e4aa7ad 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -27,4 +27 @@ from admin.prometheus import Prometheus -from admin.routes.cache_reports import ( - create_cache_reports_first_rows_endpoint, - create_cache_reports_splits_endpoint, -) +from admin.routes.cache_reports import create_cache_reports_endpoint @@ -51,0 +49,4 @@ def create_app() -> Starlette: + Route( + "/cache-reports/features", + endpoint=create_cache_reports_endpoint("features", EXTERNAL_AUTH_URL, HF_ORGANIZATION), + ), @@ -54 +55 @@ def create_app() -> Starlette: - endpoint=create_cache_reports_first_rows_endpoint(EXTERNAL_AUTH_URL, HF_ORGANIZATION), + endpoint=create_cache_reports_endpoint("first-rows", EXTERNAL_AUTH_URL, HF_ORGANIZATION), @@ -57 +58,2 @@ def create_app() -> Starlette: - "/cache-reports/splits", endpoint=create_cache_reports_splits_endpoint(EXTERNAL_AUTH_URL, HF_ORGANIZATION) + "/cache-reports/splits", + endpoint=create_cache_reports_endpoint("splits", EXTERNAL_AUTH_URL, HF_ORGANIZATION), diff --git a/services/admin/src/admin/routes/cache_reports.py b/services/admin/src/admin/routes/cache_reports.py index 3a5e2ead..94c7d8e3 100644 --- a/services/admin/src/admin/routes/cache_reports.py +++ b/services/admin/src/admin/routes/cache_reports.py @@ -5 +5 @@ import logging -from typing import Optional +from typing import Callable, Dict, Literal, Optional @@ -9,0 +10 @@ from libcache.simple_cache import ( + get_cache_reports_features, @@ -30,21 +31 @@ logger = logging.getLogger(__name__) -def create_cache_reports_first_rows_endpoint( - external_auth_url: Optional[str] = None, organization: Optional[str] = None -) -> Endpoint: - async def cache_reports_first_rows_endpoint(request: Request) -> Response: - try: - cursor = request.query_params.get("cursor") or "" - logger.info(f"/cache-reports/first-rows, cursor={cursor}") - # if auth_check fails, it will raise an exception that will be caught below - auth_check(external_auth_url=external_auth_url, request=request, organization=organization) - try: - return get_json_ok_response(get_cache_reports_first_rows(cursor, CACHE_REPORTS_NUM_RESULTS)) - except InvalidCursor as e: - raise InvalidParameterError("Invalid cursor.") from e - except InvalidLimit as e: - raise UnexpectedError( - "Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer." - ) from e - except AdminCustomError as e: - return get_json_admin_error_response(e) - except Exception: - return get_json_admin_error_response(UnexpectedError("Unexpected error.")) +EndpointName = Literal["features", "first-rows", "splits"] @@ -52 +32,0 @@ def create_cache_reports_first_rows_endpoint( - return cache_reports_first_rows_endpoint @@ -53,0 +34,5 @@ def create_cache_reports_first_rows_endpoint( +get_cache_reports: Dict[EndpointName, Callable] = { + "features": get_cache_reports_features, + "first-rows": get_cache_reports_first_rows, + "splits": get_cache_reports_splits, +} @@ -55,2 +40,3 @@ def create_cache_reports_first_rows_endpoint( -def create_cache_reports_splits_endpoint( - external_auth_url: Optional[str] = None, organization: Optional[str] = None + +def create_cache_reports_endpoint( + endpoint: EndpointName, external_auth_url: Optional[str] = None, organization: Optional[str] = None @@ -58 +44,3 @@ def create_cache_reports_splits_endpoint( - async def cache_reports_splits_endpoint(request: Request) -> Response: + get_cache_reports = get_cache_reports_features if endpoint == "features" else get_cache_reports_first_rows + + async def cache_reports_endpoint(request: Request) -> Response: @@ -61 +49 @@ def create_cache_reports_splits_endpoint( - logger.info(f"/cache-reports/splits, cursor={cursor}") + logger.info(f"/cache-reports/{endpoint}, cursor={cursor}") @@ -65 +53 @@ def create_cache_reports_splits_endpoint( - return get_json_ok_response(get_cache_reports_splits(cursor, CACHE_REPORTS_NUM_RESULTS)) + return get_json_ok_response(get_cache_reports(cursor, CACHE_REPORTS_NUM_RESULTS)) @@ -77 +65 @@ def create_cache_reports_splits_endpoint( - return cache_reports_splits_endpoint + return cache_reports_endpoint
8f0ab80a32098b4458fa43f25f377a5b8e67898e
Test User
2022-09-30T08:24:04
feat: 🎸 upgrade dependencies to fix a vulnerability
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 29a53b12..937a44ff 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -756 +756 @@ name = "joblib" -version = "1.1.0" +version = "1.2.0" @@ -760 +760 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -1688 +1688 @@ name = "scikit-learn" -version = "1.1.1" +version = "1.1.2" @@ -1701,4 +1701,4 @@ threadpoolctl = ">=2.0.0" -benchmark = ["matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "memory-profiler (>=0.57.0)"] -docs = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)", "memory-profiler (>=0.57.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "numpydoc (>=1.2.0)", "Pillow (>=7.1.2)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"] -examples = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "seaborn (>=0.9.0)"] -tests = ["matplotlib (>=3.1.2)", "scikit-image (>=0.14.5)", "pandas (>=1.0.5)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "flake8 (>=3.8.2)", "black (>=22.3.0)", "mypy (>=0.770)", "pyamg (>=4.0.0)", "numpydoc (>=1.2.0)"] +tests = ["numpydoc (>=1.2.0)", "pyamg (>=4.0.0)", "mypy (>=0.961)", "black (>=22.3.0)", "flake8 (>=3.8.2)", "pytest-cov (>=2.9.0)", "pytest (>=5.0.1)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "matplotlib (>=3.1.2)"] +examples = ["seaborn (>=0.9.0)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "matplotlib (>=3.1.2)"] +docs = ["sphinxext-opengraph (>=0.4.2)", "sphinx-prompt (>=1.3.0)", "Pillow (>=7.1.2)", "numpydoc (>=1.2.0)", "sphinx-gallery (>=0.7.0)", "sphinx (>=4.0.1)", "memory-profiler (>=0.57.0)", "seaborn (>=0.9.0)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "matplotlib (>=3.1.2)"] +benchmark = ["memory-profiler (>=0.57.0)", "pandas (>=1.0.5)", "matplotlib (>=3.1.2)"] @@ -2978,4 +2978 @@ isort = [ -joblib = [ - {file = "joblib-1.1.0-py2.py3-none-any.whl", hash = "sha256:f21f109b3c7ff9d95f8387f752d0d9c34a02aa2f7060c2135f465da0e5160ff6"}, - {file = "joblib-1.1.0.tar.gz", hash = "sha256:4158fcecd13733f8be669be0683b96ebdbbd38d23559f54dca7205aea1bf1e35"}, -] +joblib = [] @@ -3961,20 +3958 @@ safety = [] -scikit-learn = [ - {file = "scikit-learn-1.1.1.tar.gz", hash = "sha256:3e77b71e8e644f86c8b5be7f1c285ef597de4c384961389ee3e9ca36c445b256"}, - {file = "scikit_learn-1.1.1-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:102f51797cd8944bf44a038d106848ddf2804f2c1edf7aea45fba81a4fdc4d80"}, - {file = "scikit_learn-1.1.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:723cdb278b1fa57a55f68945bc4e501a2f12abe82f76e8d21e1806cbdbef6fc5"}, - {file = "scikit_learn-1.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:33cf061ed0b79d647a3e4c3f6c52c412172836718a7cd4d11c1318d083300133"}, - {file = "scikit_learn-1.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47464c110eaa9ed9d1fe108cb403510878c3d3a40f110618d2a19b2190a3e35c"}, - {file = "scikit_learn-1.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:542ccd2592fe7ad31f5c85fed3a3deb3e252383960a85e4b49a629353fffaba4"}, - {file = "scikit_learn-1.1.1-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:3be10d8d325821ca366d4fe7083d87c40768f842f54371a9c908d97c45da16fc"}, - {file = "scikit_learn-1.1.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:b2db720e13e697d912a87c1a51194e6fb085dc6d8323caa5ca51369ca6948f78"}, - {file = "scikit_learn-1.1.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e851f8874398dcd50d1e174e810e9331563d189356e945b3271c0e19ee6f4d6f"}, - {file = "scikit_learn-1.1.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b928869072366dc138762fe0929e7dc88413f8a469aebc6a64adc10a9226180c"}, - {file = "scikit_learn-1.1.1-cp38-cp38-win32.whl", hash = "sha256:e9d228ced1214d67904f26fb820c8abbea12b2889cd4aa8cda20a4ca0ed781c1"}, - {file = "scikit_learn-1.1.1-cp38-cp38-win_amd64.whl", hash = "sha256:f2d5b5d6e87d482e17696a7bfa03fe9515fdfe27e462a4ad37f3d7774a5e2fd6"}, - {file = "scikit_learn-1.1.1-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:0403ad13f283e27d43b0ad875f187ec7f5d964903d92d1ed06c51439560ecea0"}, - {file = "scikit_learn-1.1.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:8fe80df08f5b9cee5dd008eccc672e543976198d790c07e5337f7dfb67eaac05"}, - {file = "scikit_learn-1.1.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8ff56d07b9507fbe07ca0f4e5c8f3e171f74a429f998da03e308166251316b34"}, - {file = "scikit_learn-1.1.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c2dad2bfc502344b869d4a3f4aa7271b2a5f4fe41f7328f404844c51612e2c58"}, - {file = "scikit_learn-1.1.1-cp39-cp39-win32.whl", hash = "sha256:22145b60fef02e597a8e7f061ebc7c51739215f11ce7fcd2ca9af22c31aa9f86"}, - {file = "scikit_learn-1.1.1-cp39-cp39-win_amd64.whl", hash = "sha256:45c0f6ae523353f1d99b85469d746f9c497410adff5ba8b24423705b6956a86e"}, -] +scikit-learn = []
89b4d4e1811f511c6789bf60e50af08a1428a7b1
Sylvain Lesage
2022-09-29T14:21:46
Add section for macos (#597)
diff --git a/DEVELOPER_GUIDE.md b/DEVELOPER_GUIDE.md index 092b11f2..4bf7407b 100644 --- a/DEVELOPER_GUIDE.md +++ b/DEVELOPER_GUIDE.md @@ -27 +27 @@ make start-from-remote-images -To install a single library (in [libs](./libs)) or service (in [services](./services)), install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). +To install a single library (in [libs](./libs)) or service (in [services](./services)), install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). @@ -158,0 +159,107 @@ GITHUB_TOKEN=xxx + +## Mac OS + +To install the [worker service](./services/worker) on Mac OS, you can follow the next steps. + +### First: as an administrator + +Install brew: + +```bash +$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" +``` + +Install ICU: + +```bash +$ brew install icu4c + + +==> Caveats +icu4c is keg-only, which means it was not symlinked into /opt/homebrew, +because macOS provides libicucore.dylib (but nothing else). + +If you need to have icu4c first in your PATH, run: + echo 'export PATH="/opt/homebrew/opt/icu4c/bin:$PATH"' >> ~/.zshrc + echo 'export PATH="/opt/homebrew/opt/icu4c/sbin:$PATH"' >> ~/.zshrc + +For compilers to find icu4c you may need to set: + export LDFLAGS="-L/opt/homebrew/opt/icu4c/lib" + export CPPFLAGS="-I/opt/homebrew/opt/icu4c/include" +``` + +### Then: as a normal user + +Add ICU to the path: + +```bash +$ echo 'export PATH="/opt/homebrew/opt/icu4c/bin:$PATH"' >> ~/.zshrc +$ echo 'export PATH="/opt/homebrew/opt/icu4c/sbin:$PATH"' >> ~/.zshrc +``` + +Install pyenv: + +```bash +$ curl https://pyenv.run | bash +``` + +append the following lines to ~/.zshrc: + +```bash +export PYENV_ROOT="$HOME/.pyenv" +command -v pyenv >/dev/null || export PATH="$PYENV_ROOT/bin:$PATH" +eval "$(pyenv init -)" +``` + +Logout and login again. + +Install Python 3.9.6: + +```bash +$ pyenv install 3.9.6 +``` + +Check that the expected local version of Python is used: + +```bash +$ cd services/workers +$ python --version +Python 3.9.6 +``` + +Install poetry: + +```bash +curl -sSL https://install.python-poetry.org | python3 - +``` + +append the following lines to ~/.zshrc: + +```bash +export PATH="/Users/slesage2/.local/bin:$PATH" +``` + +Install rust: + +```bash +$ curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh +$ source $HOME/.cargo/env +``` + +Set the python version to use with poetry: + +```bash +poetry env use 3.9.6 +``` + +Avoid an issue with Apache beam (https://github.com/python-poetry/poetry/issues/4888#issuecomment-1208408509): + +```bash +poetry config experimental.new-installer false +``` + +Install the dependencies: + +```bash +make install +```
3e4fe8dd478a08e828a138ae53df23001a0070df
Sylvain Lesage
2022-09-29T08:41:11
ci: push the images to Docker Hub in the public organization hf (#595)
diff --git a/.github/workflows/_docker.yml b/.github/workflows/_build_push_docker_hub.yml similarity index 61% rename from .github/workflows/_docker.yml rename to .github/workflows/_build_push_docker_hub.yml index ddd85d80..0628a5f1 100644 --- a/.github/workflows/_docker.yml +++ b/.github/workflows/_build_push_docker_hub.yml @@ -4,2 +4,2 @@ -name: Build and push service docker image -on: +name: Build and push service docker image to public Docker Hub +on: @@ -12 +12 @@ on: - aws-access-key-id: + dockerhub-username: @@ -14 +14 @@ on: - aws-secret-access-key: + dockerhub-password: @@ -17,2 +17 @@ env: - region: us-east-1 - repository-prefix: 707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server- + repository-prefix: huggingface/datasets-server- @@ -20 +19 @@ jobs: - build-and-push-image: + build-and-push-image-to-docker-hub: @@ -30,2 +29,2 @@ jobs: - - name: Configure AWS credentials - uses: aws-actions/configure-aws-credentials@v1 + - name: Login to Docker Hub + uses: docker/login-action@v1 @@ -33,6 +32,2 @@ jobs: - aws-access-key-id: ${{ secrets.aws-access-key-id }} - aws-secret-access-key: ${{ secrets.aws-secret-access-key }} - aws-region: ${{ env.region }} - - name: Login to Amazon ECR - id: login-ecr - uses: aws-actions/amazon-ecr-login@v1 + username: ${{ secrets.dockerhub-username }} + password: ${{ secrets.dockerhub-password }} @@ -55,3 +50,3 @@ jobs: - # see https://github.com/docker/build-push-action/blob/master/docs/advanced/cache.md#cache-backend-api - # cache-from: type=gha,scope=buildkit-${{ inputs.service }} - # cache-to: type=gha,mode=max,scope=buildkit-${{ inputs.service }} + # see https://github.com/docker/build-push-action/blob/master/docs/advanced/cache.md#registry-cache + cache-from: type=registry,ref=${{ env.repository-prefix }}${{ inputs.service }}:buildcache + cache-to: type=registry,ref=${{ env.repository-prefix }}${{ inputs.service }}:buildcache,mode=max diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 2af41819..28330ebf 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -11,5 +10,0 @@ on: - secrets: - aws-access-key-id: - required: true - aws-secret-access-key: - required: true @@ -21 +15,0 @@ env: - region: us-east-1 @@ -52,9 +45,0 @@ jobs: - - name: Configure AWS credentials - uses: aws-actions/configure-aws-credentials@v1 - with: - aws-access-key-id: ${{ secrets.aws-access-key-id }} - aws-secret-access-key: ${{ secrets.aws-secret-access-key }} - aws-region: ${{ env.region }} - - name: Login to Amazon ECR - id: login-ecr - uses: aws-actions/amazon-ecr-login@v1 diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 0bc34f43..08f440e8 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -26,3 +25,0 @@ jobs: - secrets: - aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} diff --git a/.github/workflows/s-admin-build.yml b/.github/workflows/s-admin-build-docker.yml similarity index 55% rename from .github/workflows/s-admin-build.yml rename to .github/workflows/s-admin-build-docker.yml index c8337e9f..f6679aa6 100644 --- a/.github/workflows/s-admin-build.yml +++ b/.github/workflows/s-admin-build-docker.yml @@ -13,2 +13,2 @@ on: - - '.github/workflows/s-admin-build.yml' - - '.github/workflows/_docker.yml' + - '.github/workflows/s-admin-build-docker.yml' + - '.github/workflows/_build_push_docker_hub.yml' @@ -17 +17 @@ jobs: - uses: ./.github/workflows/_docker.yml + uses: ./.github/workflows/_build_push_docker_hub.yml @@ -21,2 +21,2 @@ jobs: - aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + dockerhub-username: ${{ secrets.DOCKERHUB_USERNAME }} + dockerhub-password: ${{ secrets.DOCKERHUB_PASSWORD }} diff --git a/.github/workflows/s-api-build.yml b/.github/workflows/s-api-build-docker.yml similarity index 54% rename from .github/workflows/s-api-build.yml rename to .github/workflows/s-api-build-docker.yml index 75a86ac1..a47c7700 100644 --- a/.github/workflows/s-api-build.yml +++ b/.github/workflows/s-api-build-docker.yml @@ -13,2 +13,2 @@ on: - - '.github/workflows/s-api-build.yml' - - '.github/workflows/_docker.yml' + - '.github/workflows/s-api-build-docker.yml' + - '.github/workflows/_build_push_docker_hub.yml' @@ -17 +17 @@ jobs: - uses: ./.github/workflows/_docker.yml + uses: ./.github/workflows/_build_push_docker_hub.yml @@ -21,2 +21,2 @@ jobs: - aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + dockerhub-username: ${{ secrets.DOCKERHUB_USERNAME }} + dockerhub-password: ${{ secrets.DOCKERHUB_PASSWORD }} diff --git a/.github/workflows/s-worker-build.yml b/.github/workflows/s-worker-build-docker.yml similarity index 55% rename from .github/workflows/s-worker-build.yml rename to .github/workflows/s-worker-build-docker.yml index 1dc852e4..7228ce8c 100644 --- a/.github/workflows/s-worker-build.yml +++ b/.github/workflows/s-worker-build-docker.yml @@ -13,2 +13,2 @@ on: - - '.github/workflows/s-worker-build.yml' - - '.github/workflows/_docker.yml' + - '.github/workflows/s-worker-build-docker.yml' + - '.github/workflows/_build_push_docker_hub.yml' @@ -17 +17 @@ jobs: - uses: ./.github/workflows/_docker.yml + uses: ./.github/workflows/_build_push_docker_hub.yml @@ -21,2 +21,2 @@ jobs: - aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} + dockerhub-username: ${{ secrets.DOCKERHUB_USERNAME }} + dockerhub-password: ${{ secrets.DOCKERHUB_PASSWORD }} diff --git a/DEVELOPER_GUIDE.md b/DEVELOPER_GUIDE.md index 365dede9..092b11f2 100644 --- a/DEVELOPER_GUIDE.md +++ b/DEVELOPER_GUIDE.md @@ -27,7 +26,0 @@ make start-from-remote-images -Note that you must login to AWS to be able to download the docker images: - -``` -aws ecr get-login-password --region us-east-1 --profile=hub-prod \ - | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com -``` - @@ -90,6 +83,6 @@ The following environments contain all the modules: reverse proxy, API server, a -| Environment | URL | Type | How to deploy | -| ------------------------ | ---------------------------------------------------- | ----------------- | -------------------------------------------------------------------- | -| Production | https://datasets-server.huggingface.co | Helm / Kubernetes | `make upgrade-prod` in [chart](./chart) | -| Development | https://datasets-server.us.dev.moon.huggingface.tech | Helm / Kubernetes | `make upgrade-dev` in [chart](./chart) | -| Local from remote images | http://localhost:8100 | Docker compose | `make start-from-remote-images` (fetches docker images from AWS ECR) | -| Local build | http://localhost:8000 | Docker compose | `make start-from-local-code` (builds docker images) | +| Environment | URL | Type | How to deploy | +| ------------------------ | ---------------------------------------------------- | ----------------- | ----------------------------------------------------------------------- | +| Production | https://datasets-server.huggingface.co | Helm / Kubernetes | `make upgrade-prod` in [chart](./chart) | +| Development | https://datasets-server.us.dev.moon.huggingface.tech | Helm / Kubernetes | `make upgrade-dev` in [chart](./chart) | +| Local from remote images | http://localhost:8100 | Docker compose | `make start-from-remote-images` (fetches docker images from Docker Hub) | +| Local build | http://localhost:8000 | Docker compose | `make start-from-local-code` (builds docker images) | @@ -153 +146 @@ You can use [act](https://github.com/nektos/act) to test the GitHub Actions (see -For example, to launch the build and push of the docker images to ECR: +For example, to launch the build and push of the docker images to Docker Hub: @@ -156 +149 @@ For example, to launch the build and push of the docker images to ECR: -act -j build-and-push-image --secret-file my.secrets +act -j build-and-push-image-to-docker-hub --secret-file my.secrets @@ -162,2 +155,2 @@ with `my.secrets` a file with the secrets: -AWS_ACCESS_KEY_ID=xxx -AWS_SECRET_ACCESS_KEY=xxx +DOCKERHUB_USERNAME=xxx +DOCKERHUB_PASSWORD=xxx @@ -166,2 +158,0 @@ GITHUB_TOKEN=xxx - -You might prefer to use [aws-vault](https://github.com/99designs/aws-vault) instead to set the environment variables, but you will still have to pass the GitHub token as a secret. diff --git a/chart/README.md b/chart/README.md index 6bab6158..26865e85 100644 --- a/chart/README.md +++ b/chart/README.md @@ -9 +9 @@ The cloud infrastructure for the datasets-server uses: -- Amazon ECR to store the docker images of the datasets-server services. +- Docker Hub to store the docker images of the datasets-server services. diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index daf6062d..07127f0a 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-49a60c5", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-5d183a4", + "admin": "huggingface/datasets-server-admin:sha-92a9c8c", + "api": "huggingface/datasets-server-api:sha-92a9c8c", @@ -7,2 +7,2 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-21de96a", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-21de96a" + "splits": "huggingface/datasets-server-worker:sha-92a9c8c", + "firstRows": "huggingface/datasets-server-worker:sha-92a9c8c" diff --git a/e2e/poetry.lock b/e2e/poetry.lock index bda6ee8d..e87b1c9e 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -104 +104 @@ name = "dparse" -version = "0.5.1" +version = "0.6.2" @@ -112 +111,0 @@ packaging = "*" -pyyaml = "*" @@ -116,0 +116 @@ pipenv = ["pipenv"] +conda = ["pyyaml"] @@ -477 +477 @@ name = "safety" -version = "2.1.1" +version = "2.2.0" @@ -485 +485 @@ Click = ">=8.0.2" -dparse = ">=0.5.1" +dparse = ">=0.6.2" @@ -638,4 +638 @@ colorama = [ -dparse = [ - {file = "dparse-0.5.1-py3-none-any.whl", hash = "sha256:e953a25e44ebb60a5c6efc2add4420c177f1d8404509da88da9729202f306994"}, - {file = "dparse-0.5.1.tar.gz", hash = "sha256:a1b5f169102e1c894f9a7d5ccf6f9402a836a5d24be80a986c7ce9eaed78f367"}, -] +dparse = []
b5f333a9b9dfc1ab30832fa07fe82d752dd29758
Sylvain Lesage
2022-09-28T16:21:01
fix: 🐛 fix the dependencies for macos m1/m2 (#593)
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 73e6369b..29a53b12 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -375 +375 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "bs4", "conllu", "h5py", "lxml", "mwparserfromhell", "openpyxl", "py7zr", "zstandard", "sentencepiece", "rouge-score", "sacremoses", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "sacrebleu", "scikit-learn", "scipy", "seqeval", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "bs4", "conllu", "h5py", "lxml", "mwparserfromhell", "openpyxl", "py7zr", "zstandard", "sentencepiece", "rouge-score", "sacremoses", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "sacrebleu", "scikit-learn", "scipy", "seqeval", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] @@ -381 +381 @@ tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "bs4", "conllu", "h5py", "lxml", "mwparserfromhell", "openpyxl", "py7zr", "zstandard", "sentencepiece", "rouge-score", "sacremoses", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "sacrebleu", "scikit-learn", "scipy", "seqeval", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "bs4", "conllu", "h5py", "lxml", "mwparserfromhell", "openpyxl", "py7zr", "zstandard", "sentencepiece", "rouge-score", "sacremoses", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "sacrebleu", "scikit-learn", "scipy", "seqeval", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa"] @@ -426 +426 @@ name = "dparse" -version = "0.5.1" +version = "0.6.2" @@ -434 +433,0 @@ packaging = "*" -pyyaml = "*" @@ -438,0 +438 @@ pipenv = ["pipenv"] +conda = ["pyyaml"] @@ -1673 +1673 @@ name = "safety" -version = "2.1.1" +version = "2.2.0" @@ -1681 +1681 @@ Click = ">=8.0.2" -dparse = ">=0.5.1" +dparse = ">=0.6.2" @@ -1889,0 +1890,30 @@ tensorflow-rocm = ["tensorflow-rocm (>=2.9.0,<2.10.0)"] +[[package]] +name = "tensorflow-macos" +version = "2.9.2" +description = "TensorFlow is an open source machine learning framework for everyone." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +absl-py = ">=1.0.0" +astunparse = ">=1.6.0" +flatbuffers = ">=1.12,<2" +gast = ">=0.2.1,<=0.4.0" +google-pasta = ">=0.1.1" +grpcio = ">=1.24.3,<2.0" +h5py = ">=2.9.0" +keras = ">=2.9.0rc0,<2.10.0" +keras-preprocessing = ">=1.1.1" +libclang = ">=13.0.0" +numpy = ">=1.20" +opt-einsum = ">=2.3.2" +packaging = "*" +protobuf = ">=3.9.2,<3.20" +six = ">=1.12.0" +tensorboard = ">=2.9,<2.10" +tensorflow-estimator = ">=2.9.0rc0,<2.10.0" +termcolor = ">=1.1.0" +typing-extensions = ">=3.6.6" +wrapt = ">=1.11.0" + @@ -2236 +2266 @@ python-versions = "3.9.6" -content-hash = "2d4aa333d0c236b3aa7bf34ea10e17e146989aa8265d5e53620959d784f3d17e" +content-hash = "bbd3ac405cd06f7d0767acad3716132d0b7d212671e1f6b2ac90c9625380510e" @@ -2723,4 +2753 @@ docopt = [ -dparse = [ - {file = "dparse-0.5.1-py3-none-any.whl", hash = "sha256:e953a25e44ebb60a5c6efc2add4420c177f1d8404509da88da9729202f306994"}, - {file = "dparse-0.5.1.tar.gz", hash = "sha256:a1b5f169102e1c894f9a7d5ccf6f9402a836a5d24be80a986c7ce9eaed78f367"}, -] +dparse = [] @@ -4058,0 +4086 @@ tensorflow-io-gcs-filesystem = [ +tensorflow-macos = [] diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 3c478285..8f0f6501 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -34 +34,2 @@ sklearn = "^0.0" -tensorflow = "^2.9.0" +tensorflow = {version = "^2.9.0", platform = "linux || win32"} +tensorflow-macos = {version = "^2.9.0", platform = "darwin"}
6c17894b903a9819c86d7ed61301d8c8ad4c1bc3
Sylvain Lesage
2022-09-27T14:02:18
587 fix list of images or audio (#592)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 707c78dd..daf6062d 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +7,2 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-0dff3bf", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-0dff3bf" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-21de96a", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-21de96a" diff --git a/services/worker/src/worker/asset.py b/services/worker/src/worker/asset.py index 989050cf..0ba0f33a 100644 --- a/services/worker/src/worker/asset.py +++ b/services/worker/src/worker/asset.py @@ -60,0 +61 @@ def create_audio_files( + filename_base: str, @@ -62,2 +63,2 @@ def create_audio_files( - wav_filename = "audio.wav" - mp3_filename = "audio.mp3" + wav_filename = f"{filename_base}.wav" + mp3_filename = f"{filename_base}.mp3" diff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py index 5e9a4325..87bcc836 100644 --- a/services/worker/src/worker/features.py +++ b/services/worker/src/worker/features.py @@ -4 +4,3 @@ -from typing import Any +import json +from typing import Any, List, Union +from zlib import adler32 @@ -24,0 +27,17 @@ from worker.asset import create_audio_files, create_image_file +def append_hash_suffix(string, json_path: List[Union[str, int]] = None) -> str: + """ + Hash the json path to a string. + Args: + string (``str``): The string to append the hash to. + json_path (``list(str|int)``): the json path, which is a list of keys and indices + Returns: + the string suffixed with the hash of the json path + + Details: + - no suffix if the list is empty + - converted to hexadecimal to make the hash shorter + - the 0x prefix is removed + """ + return f"{string}-{hex(adler32(json.dumps(json_path).encode()))[2:]}" if json_path else string + + @@ -32,0 +52 @@ def image( + json_path: List[Union[str, int]] = None, @@ -42 +62,8 @@ def image( - dataset, config, split, row_idx, featureName, f"image{ext}", value, assets_base_url + dataset, + config, + split, + row_idx, + featureName, + f"{append_hash_suffix('image', json_path)}{ext}", + value, + assets_base_url, @@ -59,0 +87 @@ def audio( + json_path: List[Union[str, int]] = None, @@ -73 +101,11 @@ def audio( - return create_audio_files(dataset, config, split, row_idx, featureName, array, sampling_rate, assets_base_url) + return create_audio_files( + dataset, + config, + split, + row_idx, + featureName, + array, + sampling_rate, + assets_base_url, + append_hash_suffix("audio", json_path), + ) @@ -76,3 +113,0 @@ def audio( -# should we return both the value (as given by datasets) and the additional contents (audio files, image files)? -# in the case of the images or audio, if the value contains the raw data, it would take too much space and would -# trigger the response truncation -> less rows would be viewable @@ -87,0 +123 @@ def get_cell_value( + json_path: List[Union[str, int]] = None, @@ -90 +126 @@ def get_cell_value( - return image(dataset, config, split, row_idx, cell, featureName, assets_base_url) + return image(dataset, config, split, row_idx, cell, featureName, assets_base_url, json_path) @@ -92,13 +128,86 @@ def get_cell_value( - return audio(dataset, config, split, row_idx, cell, featureName, assets_base_url) - elif ( - isinstance(fieldType, Value) - or isinstance(fieldType, ClassLabel) - or isinstance(fieldType, Array2D) - or isinstance(fieldType, Array3D) - or isinstance(fieldType, Array4D) - or isinstance(fieldType, Array5D) - or isinstance(fieldType, Translation) - or isinstance(fieldType, TranslationVariableLanguages) - or isinstance(fieldType, Sequence) - or isinstance(fieldType, list) - or isinstance(fieldType, dict) + return audio(dataset, config, split, row_idx, cell, featureName, assets_base_url, json_path) + elif isinstance(fieldType, list): + if type(cell) != list: + raise TypeError("list cell must be a list.") + if len(fieldType) != 1: + raise TypeError("the feature type should be a 1-element list.") + subFieldType = fieldType[0] + return [ + get_cell_value( + dataset, + config, + split, + row_idx, + subCell, + featureName, + subFieldType, + assets_base_url, + json_path + [idx] if json_path else [idx], + ) + for (idx, subCell) in enumerate(cell) + ] + elif isinstance(fieldType, Sequence): + # sequence value can be a list or a dict, see + # https://huggingface.co/docs/datasets/v2.5.1/en/package_reference/main_classes#datasets.Features + if type(cell) == list: + if fieldType.length >= 0 and len(cell) != fieldType.length: + raise TypeError("the cell length should be the same as the Sequence length.") + return [ + get_cell_value( + dataset, + config, + split, + row_idx, + subCell, + featureName, + fieldType.feature, + assets_base_url, + json_path + [idx] if json_path else [idx], + ) + for (idx, subCell) in enumerate(cell) + ] + elif type(cell) == dict: + return { + key: get_cell_value( + dataset, + config, + split, + row_idx, + subCell, + featureName, + fieldType.feature[key], + assets_base_url, + json_path + [key] if json_path else [key], + ) + for (key, subCell) in cell.items() + } + raise TypeError("Sequence cell must be a list or a dict.") + elif isinstance(fieldType, dict): + if type(cell) != dict: + raise TypeError("dict cell must be a dict.") + return { + key: get_cell_value( + dataset, + config, + split, + row_idx, + subCell, + featureName, + fieldType[key], + assets_base_url, + json_path + [key] if json_path else [key], + ) + for (key, subCell) in cell.items() + } + elif isinstance( + fieldType, + ( + Value, + ClassLabel, + Array2D, + Array3D, + Array4D, + Array5D, + Translation, + TranslationVariableLanguages, + ), diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py index a88805a7..732e2286 100644 --- a/services/worker/tests/fixtures/datasets.py +++ b/services/worker/tests/fixtures/datasets.py @@ -71,6 +70,0 @@ def datasets() -> Dict[str, Dataset]: - "sequence_audio": other( - [ - {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, - ], - Sequence(feature=Audio()), - ), @@ -87,0 +82,44 @@ def datasets() -> Dict[str, Dataset]: + "images_list": other( + [ + str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg"), + str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg"), + ], + [Image()], + ), + "audios_list": other( + [ + {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, + {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, + ], + [Audio()], + ), + "images_sequence": other( + [ + str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg"), + str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg"), + ], + Sequence(feature=Image()), + ), + "audios_sequence": other( + [ + {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, + {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, + ], + Sequence(feature=Audio()), + ), + "dict_of_audios_and_images": other( + { + "a": 0, + "b": [ + str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg"), + str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg"), + ], + "c": { + "ca": [ + {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, + {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, + ] + }, + }, + {"a": Value(dtype="int64"), "b": [Image()], "c": {"ca": [Audio()]}}, + ), diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index 6c8daedd..efcc4d49 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -234,0 +235,10 @@ def hub_public_image(hf_api: HfApi, hf_token: str, datasets: Dict[str, Dataset]) [email protected](scope="session", autouse=True) +def hub_public_images_list(hf_api: HfApi, hf_token: str, datasets: Dict[str, Dataset]) -> Iterable[str]: + repo_id = create_hub_dataset_repo( + hf_api=hf_api, hf_token=hf_token, prefix="images_list", dataset=datasets["images_list"] + ) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + @@ -344,0 +355,23 @@ def get_IMAGE_rows(dataset: str): +IMAGES_LIST_cols = { + "col": [ + { + "_type": "Image", + "decode": True, + "id": None, + } + ], +} + + +def get_IMAGES_LIST_rows(dataset: str): + dataset, config, split = get_default_config_split(dataset) + return [ + { + "col": [ + f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image-1d100e9.jpg", + f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image-1d300ea.jpg", + ] + } + ] + + @@ -347 +380,7 @@ def hub_datasets( - hub_public_empty, hub_public_csv, hub_private_csv, hub_gated_csv, hub_public_audio, hub_public_image + hub_public_empty, + hub_public_csv, + hub_private_csv, + hub_gated_csv, + hub_public_audio, + hub_public_image, + hub_public_images_list, @@ -388,0 +428,7 @@ def hub_datasets( + "images_list": { + "name": hub_public_images_list, + "splits_response": get_splits_response(hub_public_images_list, 0, 1), + "first_rows_response": get_first_rows_response( + hub_public_images_list, IMAGES_LIST_cols, get_IMAGES_LIST_rows(hub_public_images_list) + ), + }, diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index 95b4f52d..55f3e045 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -18,0 +19 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s + ("images_list", False, None, None), diff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py index 35e5c2e4..fc7a4a71 100644 --- a/services/worker/tests/test_features.py +++ b/services/worker/tests/test_features.py @@ -10 +10 @@ import pytest -from datasets import Dataset, Value +from datasets import Audio, Dataset, Image, Value @@ -85,6 +84,0 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: - # ( - # "sequence_audio" - # # ^ corner case: an Audio in a Sequence - # [{"path": None, "array": np.array([0.09997559, 0.19998169, 0.29998779]), "sampling_rate": 16_000}], - # "Sequence" - # ), @@ -145,0 +140,104 @@ def test_value(dataset_type, output_value, output_dtype, datasets) -> None: + # special cases + ( + "images_list", + [ + "http://localhost/assets/dataset/--/config/split/7/col/image-1d100e9.jpg", + "http://localhost/assets/dataset/--/config/split/7/col/image-1d300ea.jpg", + ], + [Image(decode=True, id=None)], + ), + ( + "audios_list", + [ + [ + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d100e9.mp3", + "type": "audio/mpeg", + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d100e9.wav", + "type": "audio/wav", + }, + ], + [ + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d300ea.mp3", + "type": "audio/mpeg", + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d300ea.wav", + "type": "audio/wav", + }, + ], + ], + [Audio()], + ), + ( + "images_sequence", + [ + "http://localhost/assets/dataset/--/config/split/7/col/image-1d100e9.jpg", + "http://localhost/assets/dataset/--/config/split/7/col/image-1d300ea.jpg", + ], + "Sequence", + ), + ( + "audios_sequence", + [ + [ + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d100e9.mp3", + "type": "audio/mpeg", + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d100e9.wav", + "type": "audio/wav", + }, + ], + [ + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d300ea.mp3", + "type": "audio/mpeg", + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-1d300ea.wav", + "type": "audio/wav", + }, + ], + ], + "Sequence", + ), + ( + "dict_of_audios_and_images", + { + "a": 0, + "b": [ + "http://localhost/assets/dataset/--/config/split/7/col/image-89101db.jpg", + "http://localhost/assets/dataset/--/config/split/7/col/image-89301dc.jpg", + ], + "c": { + "ca": [ + [ + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-18360330.mp3", + "type": "audio/mpeg", + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-18360330.wav", + "type": "audio/wav", + }, + ], + [ + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-18380331.mp3", + "type": "audio/mpeg", + }, + { + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio-18380331.wav", + "type": "audio/wav", + }, + ], + ] + }, + }, + {"a": Value(dtype="int64"), "b": [Image(decode=True, id=None)], "c": {"ca": [Audio()]}}, + ),
e66d59d2499385684153348906e01356b0d42f0e
Sylvain Lesage
2022-09-27T08:52:48
fix: 🐛 restore the check on the webhook payload (#591)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 6647d833..707c78dd 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -4 +4 @@ - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-8d9e37d", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-5d183a4", diff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py index c5ddad1e..d4d30877 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -42,5 +42,3 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]: - # temporarily disabled to fix a bug with the webhook - # (see https://github.com/huggingface/datasets-server/issues/380#issuecomment-1254670923) - # if id == dataset_name: - # logger.info(f"ignored because a full dataset id must starts with 'datasets/': {id}") - # return None + if id == dataset_name: + logger.info(f"ignored because a full dataset id must starts with 'datasets/': {id}") + return None
72963ce7d2eaa3df5bd1b2ba779189de25402d1c
Sylvain Lesage
2022-09-26T10:19:39
Details (#589)
diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 4e67ab2e..6a632c3e 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -1157 +1157 @@ - "url": "https://huggingface.co/docs/datasets-server/rows" + "url": "https://huggingface.co/docs/datasets-server/first-rows" diff --git a/chart/values.yaml b/chart/values.yaml index d54ec688..31aba488 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -135 +135 @@ worker: - # Min size of a cell in the /rows endpoint response in bytes + # Min size of a cell in the /first-rows endpoint response in bytes @@ -139 +139 @@ worker: - # Max size of the /rows endpoint response in bytes + # Max size of the /first-rows endpoint response in bytes @@ -141 +141 @@ worker: - # Max number of rows in the /rows endpoint response + # Max number of rows in the /first-rows endpoint response @@ -143 +143 @@ worker: - # Min number of rows in the /rows endpoint response + # Min number of rows in the /first-rows endpoint response @@ -179 +179 @@ worker: - # Min size of a cell in the /rows endpoint response in bytes + # Min size of a cell in the /first-rows endpoint response in bytes @@ -183 +183 @@ worker: - # Max size of the /rows endpoint response in bytes + # Max size of the /first-rows endpoint response in bytes @@ -185 +185 @@ worker: - # Max number of rows in the /rows endpoint response + # Max number of rows in the /first-rows endpoint response @@ -187 +187 @@ worker: - # Min number of rows in the /rows endpoint response + # Min number of rows in the /first-rows endpoint response diff --git a/services/api/src/api/routes/first_rows.py b/services/api/src/api/routes/first_rows.py index bfbe7c29..20d476f8 100644 --- a/services/api/src/api/routes/first_rows.py +++ b/services/api/src/api/routes/first_rows.py @@ -40 +40 @@ def create_first_rows_endpoint( - logger.info(f"/rows, dataset={dataset}, config={config}, split={split}") + logger.info(f"/first-rows, dataset={dataset}, config={config}, split={split}") diff --git a/services/worker/.env.example b/services/worker/.env.example deleted file mode 100644 index 3c25cafe..00000000 --- a/services/worker/.env.example +++ /dev/null @@ -1,59 +0,0 @@ -# Assets base URL -# ASSETS_BASE_URL=assets - -# Assets directory -# ASSETS_DIRECTORY= - -# Git reference for the canonical datasets on https://github.com/huggingface/datasets -# DATASETS_REVISION="main" - -# URL of the HuggingFace Hub -# HF_ENDPOINT="https://huggingface.co" - -# User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) -# HF_TOKEN= - -# Log level -# LOG_LEVEL = "INFO" - -# Max number of job retries (for uncaught errors, eg RAM shortage) for the same job -# MAX_JOB_RETRIES = 3 - -# Maximum number of jobs running at the same time for the same dataset -# MAX_JOBS_PER_DATASET = 1 - -# Max CPU load (%) - if reached, sleeps until it comes back under the limit -# MAX_LOAD_PCT = 50 - -# Max memory (RAM + SWAP) (%) - if reached, sleeps until it comes back under the limit -# MAX_MEMORY_PCT = 60 - -# Max size (in bytes) of the dataset to fallback in normal mode if streaming fails -# MAX_SIZE_FALLBACK = 100_000_000 - -# Min size of a cell in the /rows endpoint response in bytes -# MIN_CELL_BYTES=100 - -# Name of the mongo db database used to cache the datasets -# MONGO_CACHE_DATABASE="datasets_server_cache" - -# Name of the mongo db database used to store the jobs queue -# MONGO_QUEUE_DATABASE="datasets_server_queue" - -# URL to connect to mongo db -# MONGO_URL="mongodb://localhost:27017" - -# Max size of the /rows endpoint response in bytes -# ROWS_MAX_BYTES=1_000_000 - -# Max number of rows in the /rows endpoint response -# ROWS_MAX_NUMBER=100 - -# Min number of rows in the /rows endpoint response -# ROWS_MIN_NUMBER=10 - -# Number of seconds a worker will sleep before trying to process a new job -# WORKER_SLEEP_SECONDS = 15 - -# Job queue the worker will pull jobs from: 'splits_responses' or 'first_rows_responses' -# WORKER_QUEUE = splits_responses diff --git a/services/worker/README.md b/services/worker/README.md index de9efb7b..385ed6e5 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -27,3 +27,3 @@ Set environment variables to configure the following aspects: -- `ROWS_MAX_BYTES`: the max size of the /rows endpoint response in bytes. Defaults to `1_000_000` (1 MB). -- `ROWS_MAX_NUMBER`: the max number of rows fetched by the worker for the split, and provided in the /rows endpoint response. Defaults to `100`. -- `ROWS_MIN_NUMBER`: the min number of rows fetched by the worker for the split, and provided in the /rows endpoint response. Defaults to `10`. +- `ROWS_MAX_BYTES`: the max size of the /first-rows endpoint response in bytes. Defaults to `1_000_000` (1 MB). +- `ROWS_MAX_NUMBER`: the max number of rows fetched by the worker for the split, and provided in the /first-rows endpoint response. Defaults to `100`. +- `ROWS_MIN_NUMBER`: the min number of rows fetched by the worker for the split, and provided in the /first-rows endpoint response. Defaults to `10`. diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index b83ee272..73e6369b 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -1280 +1280 @@ name = "protobuf" -version = "3.19.4" +version = "3.19.5" @@ -3303,28 +3303 @@ proto-plus = [ -protobuf = [ - {file = "protobuf-3.19.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f51d5a9f137f7a2cec2d326a74b6e3fc79d635d69ffe1b036d39fc7d75430d37"}, - {file = "protobuf-3.19.4-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:09297b7972da685ce269ec52af761743714996b4381c085205914c41fcab59fb"}, - {file = "protobuf-3.19.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:072fbc78d705d3edc7ccac58a62c4c8e0cec856987da7df8aca86e647be4e35c"}, - {file = "protobuf-3.19.4-cp310-cp310-win32.whl", hash = "sha256:7bb03bc2873a2842e5ebb4801f5c7ff1bfbdf426f85d0172f7644fcda0671ae0"}, - {file = "protobuf-3.19.4-cp310-cp310-win_amd64.whl", hash = "sha256:f358aa33e03b7a84e0d91270a4d4d8f5df6921abe99a377828839e8ed0c04e07"}, - {file = "protobuf-3.19.4-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:1c91ef4110fdd2c590effb5dca8fdbdcb3bf563eece99287019c4204f53d81a4"}, - {file = "protobuf-3.19.4-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c438268eebb8cf039552897d78f402d734a404f1360592fef55297285f7f953f"}, - {file = "protobuf-3.19.4-cp36-cp36m-win32.whl", hash = "sha256:835a9c949dc193953c319603b2961c5c8f4327957fe23d914ca80d982665e8ee"}, - {file = "protobuf-3.19.4-cp36-cp36m-win_amd64.whl", hash = "sha256:4276cdec4447bd5015453e41bdc0c0c1234eda08420b7c9a18b8d647add51e4b"}, - {file = "protobuf-3.19.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6cbc312be5e71869d9d5ea25147cdf652a6781cf4d906497ca7690b7b9b5df13"}, - {file = "protobuf-3.19.4-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:54a1473077f3b616779ce31f477351a45b4fef8c9fd7892d6d87e287a38df368"}, - {file = "protobuf-3.19.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:435bb78b37fc386f9275a7035fe4fb1364484e38980d0dd91bc834a02c5ec909"}, - {file = "protobuf-3.19.4-cp37-cp37m-win32.whl", hash = "sha256:16f519de1313f1b7139ad70772e7db515b1420d208cb16c6d7858ea989fc64a9"}, - {file = "protobuf-3.19.4-cp37-cp37m-win_amd64.whl", hash = "sha256:cdc076c03381f5c1d9bb1abdcc5503d9ca8b53cf0a9d31a9f6754ec9e6c8af0f"}, - {file = "protobuf-3.19.4-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:69da7d39e39942bd52848438462674c463e23963a1fdaa84d88df7fbd7e749b2"}, - {file = "protobuf-3.19.4-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:48ed3877fa43e22bcacc852ca76d4775741f9709dd9575881a373bd3e85e54b2"}, - {file = "protobuf-3.19.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd95d1dfb9c4f4563e6093a9aa19d9c186bf98fa54da5252531cc0d3a07977e7"}, - {file = "protobuf-3.19.4-cp38-cp38-win32.whl", hash = "sha256:b38057450a0c566cbd04890a40edf916db890f2818e8682221611d78dc32ae26"}, - {file = "protobuf-3.19.4-cp38-cp38-win_amd64.whl", hash = "sha256:7ca7da9c339ca8890d66958f5462beabd611eca6c958691a8fe6eccbd1eb0c6e"}, - {file = "protobuf-3.19.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:36cecbabbda242915529b8ff364f2263cd4de7c46bbe361418b5ed859677ba58"}, - {file = "protobuf-3.19.4-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:c1068287025f8ea025103e37d62ffd63fec8e9e636246b89c341aeda8a67c934"}, - {file = "protobuf-3.19.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:96bd766831596d6014ca88d86dc8fe0fb2e428c0b02432fd9db3943202bf8c5e"}, - {file = "protobuf-3.19.4-cp39-cp39-win32.whl", hash = "sha256:84123274d982b9e248a143dadd1b9815049f4477dc783bf84efe6250eb4b836a"}, - {file = "protobuf-3.19.4-cp39-cp39-win_amd64.whl", hash = "sha256:3112b58aac3bac9c8be2b60a9daf6b558ca3f7681c130dcdd788ade7c9ffbdca"}, - {file = "protobuf-3.19.4-py2.py3-none-any.whl", hash = "sha256:8961c3a78ebfcd000920c9060a262f082f29838682b1f7201889300c1fbe0616"}, - {file = "protobuf-3.19.4.tar.gz", hash = "sha256:9df0c10adf3e83015ced42a9a7bd64e13d06c4cf45c340d2c63020ea04499d0a"}, -] +protobuf = [] diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index 9bd1f387..cd8219b1 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -92 +92 @@ def get_size_in_bytes(obj: Any): - # the size the row will contribute in the JSON response to /rows endpoint. + # the size the row will contribute in the JSON response to /first-rows endpoint.
25f6a81639242869051d987bbf0bdc3bfc26559e
Sylvain Lesage
2022-09-23T15:44:01
docs: ✏️ improve the onboarding (#586)
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e6b29419..a9bfa956 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -1 +1 @@ -# Contributing guide +# How to contribute to the Datasets Server? @@ -3 +3 @@ -The repository is structured as a monorepo, with Python applications in [services/](./services/) and Python libraries in [libs/](./libs/). +[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.0-4baaaa.svg)](CODE_OF_CONDUCT.md) @@ -5 +5 @@ The repository is structured as a monorepo, with Python applications in [service -If you have access to the internal HF notion, see https://www.notion.so/huggingface2/Datasets-server-464848da2a984e999c540a4aa7f0ece5. +The Datasets Server is an open source project, so all contributions and suggestions are welcome. @@ -7 +7,2 @@ If you have access to the internal HF notion, see https://www.notion.so/huggingf -## Install +You can contribute in many different ways: giving ideas, answering questions, reporting bugs, proposing enhancements, +improving the documentation, fixing bugs... @@ -9 +10 @@ If you have access to the internal HF notion, see https://www.notion.so/huggingf -To start working on the project: +Many thanks in advance to every contributor. @@ -11,4 +12,2 @@ To start working on the project: -```bash -git clone [email protected]:huggingface/datasets-server.git -cd datasets-server -``` +In order to facilitate healthy, constructive behavior in an open and inclusive community, we all respect and abide by +our [code of conduct](CODE_OF_CONDUCT.md). @@ -16 +15 @@ cd datasets-server -Install docker (see https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository and https://docs.docker.com/engine/install/linux-postinstall/) +## How to work on an open Issue? @@ -18,4 +17 @@ Install docker (see https://docs.docker.com/engine/install/ubuntu/#install-using -``` -make install -make start-from-local-code -``` +You have the list of open Issues at: https://github.com/huggingface/datasets/issues @@ -23 +19 @@ make start-from-local-code -To use the docker images already compiled using the CI: +Some of them may have the label `help wanted`: that means that any contributor is welcomed! @@ -25,3 +21 @@ To use the docker images already compiled using the CI: -``` -make start-from-remote-images -``` +If you would like to work on any of the open Issues: @@ -29 +23 @@ make start-from-remote-images -Note that you must login to AWS to be able to download the docker images: +1. Make sure it is not already assigned to someone else. You have the assignee (if any) on the top of the right column of the Issue page. @@ -31,4 +25 @@ Note that you must login to AWS to be able to download the docker images: -``` -aws ecr get-login-password --region us-east-1 --profile=hub-prod \ - | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com -``` +2. You can self-assign it by commenting on the Issue page with one of the keywords: `#take` or `#self-assign`. @@ -36 +27 @@ aws ecr get-login-password --region us-east-1 --profile=hub-prod \ -To install a single library (in [libs](./libs)) or service (in [services](./services)), install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). +3. Work on your self-assigned issue and eventually create a Pull Request. @@ -38 +29 @@ To install a single library (in [libs](./libs)) or service (in [services](./serv -If you use pyenv: +## How to create a Pull Request? @@ -40,6 +31 @@ If you use pyenv: -```bash -cd libs/libutils/ -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` +1. Fork the [repository](https://github.com/huggingface/datasets-server) by clicking on the 'Fork' button on the repository's page. This creates a copy of the code under your GitHub user account. @@ -47 +33 @@ poetry env use python3.9 -then: +2. Clone your fork to your local disk, and add the base repository as a remote: @@ -49,3 +35,5 @@ then: -``` -make install -``` + ```bash + git clone [email protected]:<your Github handle>/datasets-server.git + cd datasets-server + git remote add upstream https://github.com/huggingface/datasets-server.git + ``` @@ -53 +41 @@ make install -It will create a virtual environment in a `./.venv/` subdirectory. +3. Create a new branch to hold your development changes: @@ -55 +43,3 @@ It will create a virtual environment in a `./.venv/` subdirectory. -If you use VSCode, it might be useful to use the ["monorepo" workspace](./.vscode/monorepo.code-workspace) (see a [blogpost](https://medium.com/rewrite-tech/visual-studio-code-tips-for-monorepo-development-with-multi-root-workspaces-and-extension-6b69420ecd12) for more explanations). It is a multi-root workspace, with one folder for each library and service (note that we hide them from the ROOT to avoid editing there). Each folder has its own Python interpreter, with access to the dependencies installed by Poetry. You might have to manually select the interpreter in every folder though on first access, then VSCode stores the information in its local storage. + ```bash + git checkout -b a-descriptive-name-for-my-changes + ``` @@ -57 +47 @@ If you use VSCode, it might be useful to use the ["monorepo" workspace](./.vscod -## Quality + **do not** work on the `main` branch. @@ -59 +49 @@ If you use VSCode, it might be useful to use the ["monorepo" workspace](./.vscod -The CI checks the quality of the code through a [GitHub action](./.github/workflows/quality.yml). To manually format the code of a library or a service: +4. Set up a development environment by following the [developer guide](./DEVELOPER_GUIDE.md) @@ -61,3 +51 @@ The CI checks the quality of the code through a [GitHub action](./.github/workfl -```bash -make style -``` +5. Develop the features on your branch. @@ -65 +53 @@ make style -To check the quality (which includes checking the style, but also security vulnerabilities): +6. Format your code. Run black and isort so that your newly added files look nice with the following command: @@ -67,3 +55,3 @@ To check the quality (which includes checking the style, but also security vulne -```bash -make quality -``` + ```bash + make style + ``` @@ -71 +59 @@ make quality -## Tests +7. Once you're happy with your code, add your changes and make a commit to record your changes locally: @@ -73 +61,4 @@ make quality -The CI checks the tests a [GitHub action](./.github/workflows/unit-tests.yml). To manually test a library or a service: + ```bash + git add -p + git commit + ``` @@ -75,3 +66,2 @@ The CI checks the tests a [GitHub action](./.github/workflows/unit-tests.yml). T -```bash -make test -``` + It is a good idea to sync your copy of the code with the original + repository regularly. This way you can quickly account for changes: @@ -79 +69,4 @@ make test -Note that it requires the resources to be ready, ie. mongo and the storage for assets. + ```bash + git fetch upstream + git rebase upstream/main + ``` @@ -81 +74 @@ Note that it requires the resources to be ready, ie. mongo and the storage for a -To launch the end to end tests: + Push the changes to your account using: @@ -83,3 +76,3 @@ To launch the end to end tests: -```bash -make e2e -``` + ```bash + git push -u origin a-descriptive-name-for-my-changes + ``` @@ -87 +80 @@ make e2e -## Poetry +8. Once you are satisfied, go the webpage of your fork on GitHub. Click on "Pull request" to send your to the project maintainers for review. @@ -89 +82 @@ make e2e -### Versions +Thank you for your contribution! @@ -91 +84 @@ make e2e -We version the [libraries](./libs) as they are dependencies of the [services](./services). To update a library: +## Code of conduct @@ -93,35 +86,2 @@ We version the [libraries](./libs) as they are dependencies of the [services](./ -- change the version in its pyproject.yaml file -- build with `make build` -- version the new files in `dist/` - -And then update the library version in the services that require the update, for example if the library is `libcache`: - -``` -poetry update libcache -``` - -If service is updated, we don't update its version in the `pyproject.yaml` file. But we have to update the [docker images file](./chart/docker-images.yaml) with the new image tag. Then the CI will test the new docker images, and we will be able to deploy them to the infrastructure. - -## Pull requests - -All the contributions should go through a pull request. The pull requests must be "squashed" (ie: one commit per pull request). - -## GitHub Actions - -You can use [act](https://github.com/nektos/act) to test the GitHub Actions (see [.github/workflows/](.github/workflows/)) locally. It reduces the retroaction loop when working on the GitHub Actions, avoid polluting the branches with empty pushes only meant to trigger the CI, and allows to only run specific actions. - -For example, to launch the build and push of the docker images to ECR: - -``` -act -j build-and-push-image --secret-file my.secrets -``` - -with `my.secrets` a file with the secrets: - -``` -AWS_ACCESS_KEY_ID=xxx -AWS_SECRET_ACCESS_KEY=xxx -GITHUB_TOKEN=xxx -``` - -You might prefer to use [aws-vault](https://github.com/99designs/aws-vault) instead to set the environment variables, but you will still have to pass the GitHub token as a secret. +This project adheres to the HuggingFace [code of conduct](CODE_OF_CONDUCT.md). +By participating, you are expected to uphold this code. diff --git a/DEVELOPER_GUIDE.md b/DEVELOPER_GUIDE.md new file mode 100644 index 00000000..365dede9 --- /dev/null +++ b/DEVELOPER_GUIDE.md @@ -0,0 +1,167 @@ +# Developer guide + +This document is intended for developers who want to install, test or contribute to the code. + +## Install + +To start working on the project: + +```bash +git clone [email protected]:huggingface/datasets-server.git +cd datasets-server +``` + +Install docker (see https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository and https://docs.docker.com/engine/install/linux-postinstall/) + +``` +make install +make start-from-local-code +``` + +To use the docker images already compiled using the CI: + +``` +make start-from-remote-images +``` + +Note that you must login to AWS to be able to download the docker images: + +``` +aws ecr get-login-password --region us-east-1 --profile=hub-prod \ + | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com +``` + +To install a single library (in [libs](./libs)) or service (in [services](./services)), install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). + +If you use pyenv: + +```bash +cd libs/libutils/ +pyenv install 3.9.6 +pyenv local 3.9.6 +poetry env use python3.9 +``` + +then: + +``` +make install +``` + +It will create a virtual environment in a `./.venv/` subdirectory. + +If you use VSCode, it might be useful to use the ["monorepo" workspace](./.vscode/monorepo.code-workspace) (see a [blogpost](https://medium.com/rewrite-tech/visual-studio-code-tips-for-monorepo-development-with-multi-root-workspaces-and-extension-6b69420ecd12) for more explanations). It is a multi-root workspace, with one folder for each library and service (note that we hide them from the ROOT to avoid editing there). Each folder has its own Python interpreter, with access to the dependencies installed by Poetry. You might have to manually select the interpreter in every folder though on first access, then VSCode stores the information in its local storage. + +## Architecture + +The repository is structured as a monorepo, with Python applications in [services/](./services/) and Python libraries in [libs/](./libs/). + +If you have access to the internal HF notion, see https://www.notion.so/huggingface2/Datasets-server-464848da2a984e999c540a4aa7f0ece5. + +The application is distributed in several components. + +[api](./services/api) is a web server that exposes the [API endpoints](https://huggingface.co/docs/datasets-server). Apart from some endpoints (`valid`, `is-valid`), all the responses are served from pre-computed responses. That's the main point of this project: generating these responses takes time, and the API server provides this service to the users. + +The precomputed responses are stored in a Mongo database called "cache" (see [libcache](./libs/libcache)). They are computed by workers ([worker](./services/worker)) which take their jobs from a job queue stored in a Mongo database called "queue" (see [libqueue](./libs/libqueue)), and store the results (error or valid response) into the "cache". + +The API service exposes the `/webhook` endpoint which is called by the Hub on every creation, update or deletion of a dataset on the Hub. On deletion, the cached responses are deleted. On creation or update, a new job is appended in the "queue" database. + +Note that two job queues exist: + +- `splits`: the job is to refresh a dataset, namely to get the list of [config](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-configuration) and [split](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-split) names, then to create a new job for every split +- `first-rows`: the job is to get the columns and the first 100 rows of the split + +Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/first-rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpoint. + +Hence, the working application has: + +- one instance of the API service which exposes a port +- M instances of the `splits` worker and N instances of the `first-rows` worker (N should generally be higher than M) +- a Mongo server with two databases: "cache" and "queue" +- a shared directory for the assets + +The application also has: + +- a reverse proxy in front of the API to serve static files and proxy the rest to the API server +- an admin server to serve technical endpoints + +The following environments contain all the modules: reverse proxy, API server, admin API server, workers, and the Mongo database. + +| Environment | URL | Type | How to deploy | +| ------------------------ | ---------------------------------------------------- | ----------------- | -------------------------------------------------------------------- | +| Production | https://datasets-server.huggingface.co | Helm / Kubernetes | `make upgrade-prod` in [chart](./chart) | +| Development | https://datasets-server.us.dev.moon.huggingface.tech | Helm / Kubernetes | `make upgrade-dev` in [chart](./chart) | +| Local from remote images | http://localhost:8100 | Docker compose | `make start-from-remote-images` (fetches docker images from AWS ECR) | +| Local build | http://localhost:8000 | Docker compose | `make start-from-local-code` (builds docker images) | + +## Quality + +The CI checks the quality of the code through a [GitHub action](./.github/workflows/quality.yml). To manually format the code of a library or a service: + +```bash +make style +``` + +To check the quality (which includes checking the style, but also security vulnerabilities): + +```bash +make quality +``` + +## Tests + +The CI checks the tests a [GitHub action](./.github/workflows/unit-tests.yml). To manually test a library or a service: + +```bash +make test +``` + +Note that it requires the resources to be ready, ie. mongo and the storage for assets. + +To launch the end to end tests: + +```bash +make e2e +``` + +## Poetry + +### Versions + +We version the [libraries](./libs) as they are dependencies of the [services](./services). To update a library: + +- change the version in its pyproject.yaml file +- build with `make build` +- version the new files in `dist/` + +And then update the library version in the services that require the update, for example if the library is `libcache`: + +``` +poetry update libcache +``` + +If service is updated, we don't update its version in the `pyproject.yaml` file. But we have to update the [docker images file](./chart/docker-images.yaml) with the new image tag. Then the CI will test the new docker images, and we will be able to deploy them to the infrastructure. + +## Pull requests + +All the contributions should go through a pull request. The pull requests must be "squashed" (ie: one commit per pull request). + +## GitHub Actions + +You can use [act](https://github.com/nektos/act) to test the GitHub Actions (see [.github/workflows/](.github/workflows/)) locally. It reduces the retroaction loop when working on the GitHub Actions, avoid polluting the branches with empty pushes only meant to trigger the CI, and allows to only run specific actions. + +For example, to launch the build and push of the docker images to ECR: + +``` +act -j build-and-push-image --secret-file my.secrets +``` + +with `my.secrets` a file with the secrets: + +``` +AWS_ACCESS_KEY_ID=xxx +AWS_SECRET_ACCESS_KEY=xxx +GITHUB_TOKEN=xxx +``` + +You might prefer to use [aws-vault](https://github.com/99designs/aws-vault) instead to set the environment variables, but you will still have to pass the GitHub token as a secret. diff --git a/README.md b/README.md index 541cad69..7ce89f07 100644 --- a/README.md +++ b/README.md @@ -7 +7 @@ Documentation: https://huggingface.co/docs/datasets-server -## Install and development setup +## Ask for a new feature 🎁 @@ -9 +9 @@ Documentation: https://huggingface.co/docs/datasets-server -To develop or deploy, see [CONTRIBUTING.md](./CONTRIBUTING.md) +The datasets server pre-processes the [Hugging Face Hub datasets](https://huggingface.co/datasets) to make them ready to use in your apps using the API: list of the splits, first rows. @@ -11 +11 @@ To develop or deploy, see [CONTRIBUTING.md](./CONTRIBUTING.md) -## Architecture +We plan to [add more features](https://github.com/huggingface/datasets-server/issues?q=is%3Aissue+is%3Aopen+label%3A%22feature+request%22) to the server. Please comment there and upvote your favorite requests. @@ -13 +13 @@ To develop or deploy, see [CONTRIBUTING.md](./CONTRIBUTING.md) -The application is distributed in several components. +If you think about a new feature, please [open a new issue](https://github.com/huggingface/datasets-server/issues/new). @@ -15 +15 @@ The application is distributed in several components. -[api](./services/api) is a web server that exposes the [API endpoints](https://huggingface.co/docs/datasets-server). Apart from some endpoints (`valid`, `is-valid`), all the responses are served from pre-computed responses. That's the main point of this project: generating these responses takes time, and the API server provides this service to the users. +## Contribute 🤝 @@ -17 +17 @@ The application is distributed in several components. -The precomputed responses are stored in a Mongo database called "cache" (see [libcache](./libs/libcache)). They are computed by workers ([worker](./services/worker)) which take their jobs from a job queue stored in a Mongo database called "queue" (see [libqueue](./libs/libqueue)), and store the results (error or valid response) into the "cache". +You can help by giving ideas, answering questions, reporting bugs, proposing enhancements, improving the documentation, and fixing bugs. See [CONTRIBUTING.md](./CONTRIBUTING.md) for more details. @@ -19 +19 @@ The precomputed responses are stored in a Mongo database called "cache" (see [li -The API service exposes the `/webhook` endpoint which is called by the Hub on every creation, update or deletion of a dataset on the Hub. On deletion, the cached responses are deleted. On creation or update, a new job is appended in the "queue" database. +To install the server and start contributing to the code, see [DEVELOPER_GUIDE.md](./DEVELOPER_GUIDE.md) @@ -21 +21 @@ The API service exposes the `/webhook` endpoint which is called by the Hub on ev -Note that two job queues exist: +## Community 🤗 @@ -23,2 +23 @@ Note that two job queues exist: -- `splits`: the job is to refresh a dataset, namely to get the list of [config](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-configuration) and [split](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-split) names, then to create a new job for every split -- `first-rows`: the job is to get the columns and the first 100 rows of the split +You can star and watch this [GitHub repository](https://github.com/huggingface/datasets-server) to follow the updates. @@ -26 +25 @@ Note that two job queues exist: -Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/first-rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpoint. +You can ask for help or answer questions on the [Forum](https://discuss.huggingface.co/c/datasets/10) and [Discord](https://discord.com/channels/879548962464493619/1019883044724822016). @@ -28,20 +27 @@ Note also that the workers create local files when the dataset contains images o -Hence, the working application has: - -- one instance of the API service which exposes a port -- M instances of the `splits` worker and N instances of the `first-rows` worker (N should generally be higher than M) -- a Mongo server with two databases: "cache" and "queue" -- a shared directory for the assets - -The application also has: - -- a reverse proxy in front of the API to serve static files and proxy the rest to the API server -- an admin server to serve technical endpoints - -The following environments contain all the modules: reverse proxy, API server, admin API server, workers, and the Mongo database. - -| Environment | URL | Type | How to deploy | -| ------------------------ | ---------------------------------------------------- | ----------------- | -------------------------------------------------------------------- | -| Production | https://datasets-server.huggingface.co | Helm / Kubernetes | `make upgrade-prod` in [chart](./chart) | -| Development | https://datasets-server.us.dev.moon.huggingface.tech | Helm / Kubernetes | `make upgrade-dev` in [chart](./chart) | -| Local from remote images | http://localhost:8100 | Docker compose | `make start-from-remote-images` (fetches docker images from AWS ECR) | -| Local build | http://localhost:8000 | Docker compose | `make start-from-local-code` (builds docker images) | +You can also report bugs and propose enhancements on the code, or the documentation, in the [GitHub issues](https://github.com/huggingface/datasets-server/issues).
df6161dfe6266e2291d7e654f1b2d4e89b525fa6
Albert Villanova del Moral
2022-09-23T12:02:02
Simplify code snippet in docs (#583)
diff --git a/docs/source/first_rows.mdx b/docs/source/first_rows.mdx index 35eefe53..6c3124c7 100644 --- a/docs/source/first_rows.mdx +++ b/docs/source/first_rows.mdx @@ -22 +21,0 @@ Try it in your [browser](https://datasets-server.huggingface.co/first-rows?datas -import json @@ -28 +27 @@ def query(): - return json.loads(response.content.decode("utf-8")) + return response.json() diff --git a/docs/source/splits.mdx b/docs/source/splits.mdx index 37df2b2b..538cdebd 100644 --- a/docs/source/splits.mdx +++ b/docs/source/splits.mdx @@ -26 +25,0 @@ Try it in your [browser](https://huggingface.co/datasets/splits?dataset=duorc), -import json @@ -32 +31 @@ def query(): - return json.loads(response.content.decode("utf-8")) + return response.json() diff --git a/docs/source/valid.mdx b/docs/source/valid.mdx index 1d047877..dabdb8b8 100644 --- a/docs/source/valid.mdx +++ b/docs/source/valid.mdx @@ -25 +24,0 @@ Try it in your [browser](https://datasets-server.huggingface.co/valid), with [Po -import json @@ -30 +29 @@ def query(): - return json.loads(response.content.decode("utf-8")) + return response.json()
b7a34ece80b814c14c15b5e4708a7c930d469011
Sylvain Lesage
2022-09-23T11:47:54
Fix private to public (#582)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 64e989fa..6647d833 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -4 +4 @@ - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-fe75069", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-8d9e37d", diff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl index 87228447..b4a88f4f 100644 --- a/chart/templates/api/_container.tpl +++ b/chart/templates/api/_container.tpl @@ -16,0 +17,8 @@ + - name: HF_TOKEN + # see https://kubernetes.io/docs/concepts/configuration/secret/#creating-a-secret + # and https://kubernetes.io/docs/concepts/configuration/secret/#using-secrets-as-environment-variables + valueFrom: + secretKeyRef: + name: {{ .Values.secrets.hfToken | quote }} + key: HF_TOKEN + optional: false diff --git a/chart/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl index 79af2dfe..e12820ac 100644 --- a/chart/templates/worker/first-rows/_container.tpl +++ b/chart/templates/worker/first-rows/_container.tpl @@ -16 +16 @@ - value: "{{ .Values.hfEndpoint }}" + value: {{ .Values.hfEndpoint | quote }} diff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl index 82c77f50..6f7ca5d3 100644 --- a/chart/templates/worker/splits/_container.tpl +++ b/chart/templates/worker/splits/_container.tpl @@ -16 +16 @@ - value: "{{ .Values.hfEndpoint }}" + value: {{ .Values.hfEndpoint | quote }} diff --git a/services/api/README.md b/services/api/README.md index 2f26f795..9a232f53 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -14,0 +15 @@ Set environment variables to configure the following aspects: +- `HF_TOKEN`: App Access Token (ask moonlanding administrators to get one, only the `read` role is required), to access the gated datasets. Defaults to empty. diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 30c29709..a5fa534c 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -104 +104 @@ description = "Python package for providing Mozilla's CA Bundle." -category = "dev" +category = "main" @@ -112 +112 @@ description = "The Real First Universal Charset Detector. Open, modern and activ -category = "dev" +category = "main" @@ -176,0 +177,12 @@ pipenv = ["pipenv"] +[[package]] +name = "filelock" +version = "3.8.0" +description = "A platform independent file lock." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.extras] +docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"] +testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"] + @@ -219,0 +232,25 @@ python-versions = ">=3.6" +[[package]] +name = "huggingface-hub" +version = "0.9.1" +description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" +category = "main" +optional = false +python-versions = ">=3.7.0" + +[package.dependencies] +filelock = "*" +packaging = ">=20.9" +pyyaml = ">=5.1" +requests = "*" +tqdm = "*" +typing-extensions = ">=3.7.4.3" + +[package.extras] +torch = ["torch"] +testing = ["soundfile", "datasets", "pytest-cov", "pytest"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +quality = ["flake8-bugbear", "flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (==22.3)"] +fastai = ["fastcore (>=1.3.27)", "fastai (>=2.4)", "toml"] +dev = ["flake8-bugbear", "flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (==22.3)", "soundfile", "datasets", "pytest-cov", "pytest"] +all = ["flake8-bugbear", "flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (==22.3)", "soundfile", "datasets", "pytest-cov", "pytest"] + @@ -300,0 +338,8 @@ url = "../../libs/libutils/dist/libutils-0.2.0-py3-none-any.whl" +[[package]] +name = "markupsafe" +version = "2.1.1" +description = "Safely add untrusted strings to HTML/XML markup." +category = "dev" +optional = false +python-versions = ">=3.7" + @@ -364 +409 @@ description = "Core utilities for Python packages" -category = "dev" +category = "main" @@ -482 +527 @@ description = "pyparsing module - Classes and methods to define and execute pars -category = "dev" +category = "main" @@ -525,0 +571,11 @@ testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtuale +[[package]] +name = "pytest-httpserver" +version = "1.0.6" +description = "pytest-httpserver is a httpserver for pytest" +category = "dev" +optional = false +python-versions = ">=3.7,<4.0" + +[package.dependencies] +Werkzeug = ">=2.0.0" + @@ -538 +594 @@ description = "Python HTTP for Humans." -category = "dev" +category = "main" @@ -552,15 +607,0 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] -[[package]] -name = "responses" -version = "0.21.0" -description = "A utility library for mocking out the `requests` Python library." -category = "dev" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -requests = ">=2.0,<3.0" -urllib3 = ">=1.25.10" - -[package.extras] -tests = ["pytest (>=7.0.0)", "coverage (>=6.0.0)", "pytest-cov", "pytest-asyncio", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"] - @@ -681,0 +723,17 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +[[package]] +name = "tqdm" +version = "4.64.1" +description = "Fast, Extensible Progress Meter" +category = "main" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +dev = ["py-make (>=0.1.0)", "twine", "wheel"] +notebook = ["ipywidgets (>=6)"] +slack = ["slack-sdk"] +telegram = ["requests"] + @@ -694 +752 @@ description = "Backported and Experimental Type Hints for Python 3.7+" -category = "dev" +category = "main" @@ -702 +760 @@ description = "HTTP library with thread-safe connection pooling, file post, and -category = "dev" +category = "main" @@ -740,0 +799,14 @@ watchmedo = ["PyYAML (>=3.10)"] +[[package]] +name = "werkzeug" +version = "2.2.2" +description = "The comprehensive WSGI web application library." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +MarkupSafe = ">=2.1.1" + +[package.extras] +watchdog = ["watchdog"] + @@ -744 +816 @@ python-versions = "3.9.6" -content-hash = "972c7d6f5c61a411052028a6e328d28ec6fddcaa8e172b3a8c3cc9a93ce93645" +content-hash = "cf90d33b884908a7275c17f252f3d6797baeca82a4b628a0447d27cd875d89c6" @@ -862,0 +935 @@ dparse = [ +filelock = [] @@ -878,0 +952 @@ h11 = [ +huggingface-hub = [] @@ -899,0 +974 @@ libutils = [ +markupsafe = [] @@ -1135,0 +1211 @@ pytest-cov = [ +pytest-httpserver = [] @@ -1175 +1250,0 @@ requests = [ -responses = [] @@ -1210,0 +1286 @@ tomlkit = [ +tqdm = [] @@ -1281,0 +1358 @@ watchdog = [ +werkzeug = [] diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index aa31046b..3ba57dd7 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -8,0 +9 @@ license = "Apache-2.0" +huggingface-hub = "^0.9.1" @@ -27 +28 @@ pytest-cov = "^2.12.1" -responses = "^0.21.0" +pytest-httpserver = "^1.0.6" @@ -34,0 +36 @@ requires = ["poetry-core>=1.0.0"] +addopts = "-k 'not deprecated'" @@ -35,0 +38,4 @@ filterwarnings = ["ignore::DeprecationWarning"] +markers = [ + "deprecated: tests on deprecated code (deselect with '-m \"not deprecated\"')", + "wip: tests being developed" +] diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 4815c7e9..cc75371a 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -24,0 +25,2 @@ from api.config import ( + HF_ENDPOINT, + HF_TOKEN, @@ -35 +37 @@ from api.routes.valid import create_is_valid_endpoint, valid_endpoint -from api.routes.webhook import webhook_endpoint +from api.routes.webhook import create_webhook_endpoint @@ -56,2 +58,12 @@ def create_app() -> Starlette: - Route("/first-rows", endpoint=create_first_rows_endpoint(EXTERNAL_AUTH_URL)), - Route("/splits", endpoint=create_splits_endpoint(EXTERNAL_AUTH_URL)), + Route( + "/first-rows", + endpoint=create_first_rows_endpoint( + external_auth_url=EXTERNAL_AUTH_URL, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN + ), + ), + Route( + "/splits", + endpoint=create_splits_endpoint( + external_auth_url=EXTERNAL_AUTH_URL, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN + ), + ), @@ -61 +73,3 @@ def create_app() -> Starlette: - Route("/webhook", endpoint=webhook_endpoint, methods=["POST"]), + Route( + "/webhook", endpoint=create_webhook_endpoint(hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN), methods=["POST"] + ), diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py index 8e5efbc7..f1bb71d5 100644 --- a/services/api/src/api/config.py +++ b/services/api/src/api/config.py @@ -14,0 +15 @@ from api.constants import ( + DEFAULT_HF_TOKEN, @@ -28,0 +30 @@ HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ +HF_TOKEN = get_str_or_none_value(d=os.environ, key="HF_TOKEN", default=DEFAULT_HF_TOKEN) diff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py index 3f749c27..c1f298de 100644 --- a/services/api/src/api/constants.py +++ b/services/api/src/api/constants.py @@ -3,0 +4,2 @@ +from typing import Optional + @@ -10,0 +13 @@ DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" +DEFAULT_HF_TOKEN: Optional[str] = None diff --git a/services/api/src/api/dataset.py b/services/api/src/api/dataset.py new file mode 100644 index 00000000..da48acd6 --- /dev/null +++ b/services/api/src/api/dataset.py @@ -0,0 +1,105 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import logging +from http import HTTPStatus +from typing import Optional + +from huggingface_hub.hf_api import HfApi # type: ignore +from huggingface_hub.utils import RepositoryNotFoundError # type: ignore +from libcache.simple_cache import ( + DoesNotExist, + delete_first_rows_responses, + delete_splits_responses, + get_splits_response, + mark_first_rows_responses_as_stale, + mark_splits_responses_as_stale, +) +from libqueue.queue import ( + add_splits_job, + is_first_rows_response_in_process, + is_splits_response_in_process, +) + +logger = logging.getLogger(__name__) + + +def is_supported( + dataset: str, + hf_endpoint: str, + hf_token: Optional[str] = None, +) -> bool: + """ + Check if the dataset exists on the Hub and is supported by the datasets-server. + Args: + dataset (`str`): + A namespace (user or an organization) and a repo name separated + by a `/`. + hf_endpoint (`str`): + The Hub endpoint (for example: "https://huggingface.co") + hf_token (`str`, *optional*): + An authentication token (See https://huggingface.co/settings/token) + Returns: + [`bool`]: True if the dataset is supported by the datasets-server. + """ + try: + # note that token is required to access gated dataset info + info = HfApi(endpoint=hf_endpoint).dataset_info(dataset, token=hf_token) + except RepositoryNotFoundError: + return False + return info.private is False + + +def update(dataset: str) -> None: + logger.debug(f"webhook: refresh {dataset}") + mark_splits_responses_as_stale(dataset) + mark_first_rows_responses_as_stale(dataset) + add_splits_job(dataset) + + +def delete(dataset: str) -> None: + logger.debug(f"webhook: delete {dataset}") + delete_splits_responses(dataset) + delete_first_rows_responses(dataset) + + +def is_splits_in_process( + dataset: str, + hf_endpoint: str, + hf_token: Optional[str] = None, +) -> bool: + if is_splits_response_in_process(dataset_name=dataset): + return True + if is_supported(dataset=dataset, hf_endpoint=hf_endpoint, hf_token=hf_token): + update(dataset=dataset) + return True + return False + + +def is_first_rows_in_process( + dataset: str, config: str, split: str, hf_endpoint: str, hf_token: Optional[str] = None +) -> bool: + if is_first_rows_response_in_process(dataset_name=dataset, config_name=config, split_name=split): + return True + + # a bit convoluted, but checking if the first-rows response should exist + # requires to first parse the /splits response for the same dataset + if is_splits_response_in_process(dataset_name=dataset): + return True + try: + response, http_status, _ = get_splits_response(dataset) + if http_status == HTTPStatus.OK and any( + split_item["dataset"] == dataset or split_item["config"] == config or split_item["split"] == split + for split_item in response["splits"] + ): + # The splits is listed in the /splits response. + # Let's refresh *the whole dataset*, because something did not work + # + # Caveat: we don't check if the /first-rows response already exists in the cache, + # because we assume it's the reason why one would call this function + update(dataset=dataset) + return True + except DoesNotExist: + # the splits responses does not exist, let's check if it should + return is_splits_in_process(dataset=dataset, hf_endpoint=hf_endpoint, hf_token=hf_token) + return False diff --git a/services/api/src/api/routes/first_rows.py b/services/api/src/api/routes/first_rows.py index b750f042..bfbe7c29 100644 --- a/services/api/src/api/routes/first_rows.py +++ b/services/api/src/api/routes/first_rows.py @@ -9 +8,0 @@ from libcache.simple_cache import DoesNotExist, get_first_rows_response -from libqueue.queue import is_first_rows_response_in_process @@ -13,0 +13 @@ from api.authentication import auth_check +from api.dataset import is_first_rows_in_process @@ -30 +30,5 @@ logger = logging.getLogger(__name__) -def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: +def create_first_rows_endpoint( + hf_endpoint: str, + hf_token: Optional[str] = None, + external_auth_url: Optional[str] = None, +) -> Endpoint: @@ -33,4 +37,4 @@ def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpo - dataset_name = request.query_params.get("dataset") - config_name = request.query_params.get("config") - split_name = request.query_params.get("split") - logger.info(f"/rows, dataset={dataset_name}, config={config_name}, split={split_name}") + dataset = request.query_params.get("dataset") + config = request.query_params.get("config") + split = request.query_params.get("split") + logger.info(f"/rows, dataset={dataset}, config={config}, split={split}") @@ -38 +42 @@ def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpo - if not are_valid_parameters([dataset_name, config_name, split_name]): + if not are_valid_parameters([dataset, config, split]): @@ -41 +45 @@ def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpo - auth_check(dataset_name, external_auth_url=external_auth_url, request=request) + auth_check(dataset, external_auth_url=external_auth_url, request=request) @@ -43 +47 @@ def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpo - response, http_status, error_code = get_first_rows_response(dataset_name, config_name, split_name) + response, http_status, error_code = get_first_rows_response(dataset, config, split) @@ -49 +53,4 @@ def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpo - if is_first_rows_response_in_process(dataset_name, config_name, split_name): + # maybe the first-rows response is in process + if is_first_rows_in_process( + dataset=dataset, config=config, split=split, hf_endpoint=hf_endpoint, hf_token=hf_token + ): @@ -53,2 +60 @@ def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpo - else: - raise FirstRowsResponseNotFoundError("Not found.") from e + raise FirstRowsResponseNotFoundError("Not found.") from e diff --git a/services/api/src/api/routes/splits.py b/services/api/src/api/routes/splits.py index aac9e918..7e86229f 100644 --- a/services/api/src/api/routes/splits.py +++ b/services/api/src/api/routes/splits.py @@ -9 +8,0 @@ from libcache.simple_cache import DoesNotExist, get_splits_response -from libqueue.queue import is_splits_response_in_process @@ -13,0 +13 @@ from api.authentication import auth_check +from api.dataset import is_splits_in_process @@ -30 +30,3 @@ logger = logging.getLogger(__name__) -def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: +def create_splits_endpoint( + hf_endpoint: str, hf_token: Optional[str] = None, external_auth_url: Optional[str] = None +) -> Endpoint: @@ -33,2 +35,2 @@ def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - dataset_name = request.query_params.get("dataset") - logger.info(f"/splits, dataset={dataset_name}") + dataset = request.query_params.get("dataset") + logger.info(f"/splits, dataset={dataset}") @@ -36 +38 @@ def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - if not are_valid_parameters([dataset_name]): + if not are_valid_parameters([dataset]): @@ -39 +41 @@ def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - auth_check(dataset_name, external_auth_url=external_auth_url, request=request) + auth_check(dataset, external_auth_url=external_auth_url, request=request) @@ -41 +43 @@ def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - response, http_status, error_code = get_splits_response(dataset_name) + response, http_status, error_code = get_splits_response(dataset) @@ -47 +49,2 @@ def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - if is_splits_response_in_process(dataset_name): + # maybe the splits response is in process + if is_splits_in_process(dataset=dataset, hf_endpoint=hf_endpoint, hf_token=hf_token): @@ -51,2 +54 @@ def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - else: - raise SplitsResponseNotFoundError("Not found.") from e + raise SplitsResponseNotFoundError("Not found.") from e diff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py index 49f1c027..c5ddad1e 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -7,7 +6,0 @@ from typing import Any, Optional, TypedDict -from libcache.simple_cache import ( - delete_first_rows_responses, - delete_splits_responses, - mark_first_rows_responses_as_stale, - mark_splits_responses_as_stale, -) -from libqueue.queue import add_splits_job @@ -17 +10,2 @@ from starlette.responses import Response -from api.utils import are_valid_parameters, get_response +from api.dataset import delete, is_supported, update +from api.utils import Endpoint, get_response, is_non_empty_string @@ -53,44 +47,32 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]: - return dataset_name if are_valid_parameters([dataset_name]) else None - - -def try_to_update(id: Optional[str]) -> None: - dataset_name = get_dataset_name(id) - if dataset_name is not None: - logger.debug(f"webhook: refresh {dataset_name}") - # new implementation for the /splits endpoint - mark_splits_responses_as_stale(dataset_name) - mark_first_rows_responses_as_stale(dataset_name) - add_splits_job(dataset_name) - - -def try_to_delete(id: Optional[str]) -> None: - dataset_name = get_dataset_name(id) - if dataset_name is not None: - logger.debug(f"webhook: delete {dataset_name}") - # new implementation for the /splits endpoint - delete_splits_responses(dataset_name) - delete_first_rows_responses(dataset_name) - - -def process_payload(payload: MoonWebhookV1Payload) -> None: - try_to_update(payload["add"]) - try_to_update(payload["update"]) - try_to_delete(payload["remove"]) - - -async def webhook_endpoint(request: Request) -> Response: - try: - json = await request.json() - except Exception: - content = {"status": "error", "error": "the body could not be parsed as a JSON"} - return get_response(content, 400) - logger.info(f"/webhook: {json}") - try: - payload = parse_payload(json) - except Exception: - content = {"status": "error", "error": "the JSON payload is invalid"} - return get_response(content, 400) - - process_payload(payload) - content = {"status": "ok"} - return get_response(content, 200) + return dataset_name if is_non_empty_string(dataset_name) else None + + +def process_payload(payload: MoonWebhookV1Payload, hf_endpoint: str, hf_token: Optional[str] = None) -> None: + unique_datasets = {get_dataset_name(id) for id in {payload["add"], payload["remove"], payload["update"]}} + for dataset in unique_datasets: + if dataset is not None: + if is_supported(dataset=dataset, hf_endpoint=hf_endpoint, hf_token=hf_token): + update(dataset=dataset) + else: + delete(dataset=dataset) + + +def create_webhook_endpoint(hf_endpoint: str, hf_token: Optional[str] = None) -> Endpoint: + async def webhook_endpoint(request: Request) -> Response: + try: + json = await request.json() + except Exception: + content = {"status": "error", "error": "the body could not be parsed as a JSON"} + return get_response(content, 400) + logger.info(f"/webhook: {json}") + try: + payload = parse_payload(json) + except Exception: + content = {"status": "error", "error": "the JSON payload is invalid"} + return get_response(content, 400) + + process_payload(payload, hf_endpoint, hf_token) + content = {"status": "ok"} + return get_response(content, 200) + + return webhook_endpoint diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py index a8392cd6..50f0e847 100644 --- a/services/api/tests/conftest.py +++ b/services/api/tests/conftest.py @@ -6,2 +6,24 @@ import os -os.environ["HF_AUTH_PATH"] = "/%s" -os.environ["HF_ENDPOINT"] = "https://fake.url" +import pytest + +port = 8888 +host = "localhost" +HF_ENDPOINT = f"http://{host}:{port}" +HF_AUTH_PATH = "/api/datasets/%s/auth-check" + +os.environ["HF_ENDPOINT"] = HF_ENDPOINT +os.environ["HF_AUTH_PATH"] = HF_AUTH_PATH + + [email protected](scope="session") +def httpserver_listen_address(): + return (host, 8888) + + [email protected](scope="session") +def hf_endpoint(): + return HF_ENDPOINT + + [email protected](scope="session") +def hf_auth_path(): + return HF_AUTH_PATH diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 565fa36c..a29a3d00 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -3,0 +4 @@ +import json @@ -8,3 +8,0 @@ import pytest -import responses - -# from libcache.cache import clean_database as clean_cache_database @@ -12,7 +10 @@ from libcache.simple_cache import _clean_database as clean_cache_database -from libcache.simple_cache import ( - mark_first_rows_responses_as_stale, - mark_splits_responses_as_stale, - upsert_first_rows_response, - upsert_splits_response, -) -from libqueue.queue import add_first_rows_job, add_splits_job +from libcache.simple_cache import upsert_first_rows_response, upsert_splits_response @@ -19,0 +12 @@ from libqueue.queue import clean_database as clean_queue_database +from pytest_httpserver import HTTPServer @@ -23 +16 @@ from api.app import create_app -from api.config import EXTERNAL_AUTH_URL, MONGO_QUEUE_DATABASE +from api.config import EXTERNAL_AUTH_URL, MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE @@ -25 +18 @@ from api.config import EXTERNAL_AUTH_URL, MONGO_QUEUE_DATABASE -from .utils import request_callback +from .utils import auth_callback @@ -32,2 +25,2 @@ def safe_guard() -> None: - # if "test" not in MONGO_CACHE_DATABASE: - # raise ValueError("Tests on cache must be launched on a test mongo database") + if "test" not in MONGO_CACHE_DATABASE: + raise ValueError("Tests on cache must be launched on a test mongo database") @@ -84,7 +77,18 @@ def test_get_valid_datasets(client: TestClient) -> None: [email protected] -def test_get_is_valid(client: TestClient) -> None: - response = client.get("/is-valid") - assert response.status_code == 422 - - dataset = "doesnotexist" - responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) [email protected]( + "dataset,exists_on_the_hub,expected_status_code,expected_is_valid", + [ + (None, True, 422, None), + ("notinthecache", True, 200, False), + ("notinthecache", False, 404, None), + ], +) +def test_get_is_valid( + client: TestClient, + httpserver: HTTPServer, + hf_auth_path: str, + dataset: Optional[str], + exists_on_the_hub: bool, + expected_status_code: int, + expected_is_valid: Optional[bool], +) -> None: + httpserver.expect_request(hf_auth_path % dataset).respond_with_data(status=200 if exists_on_the_hub else 404) @@ -92,4 +96,3 @@ def test_get_is_valid(client: TestClient) -> None: - assert response.status_code == 200 - json = response.json() - assert "valid" in json - assert json["valid"] is False + assert response.status_code == expected_status_code + if expected_is_valid is not None: + assert response.json()["valid"] == expected_is_valid @@ -98 +101,2 @@ def test_get_is_valid(client: TestClient) -> None: -# the logic below is just to check the cookie and authorization headers are managed correctly +# caveat: the returned status codes don't simulate the reality +# they're just used to check every case @@ -107 +110,0 @@ def test_get_is_valid(client: TestClient) -> None: [email protected] @@ -109 +112,6 @@ def test_is_valid_auth( - client: TestClient, headers: Dict[str, str], status_code: int, error_code: Optional[str] + client: TestClient, + httpserver: HTTPServer, + hf_auth_path: str, + headers: Dict[str, str], + status_code: int, + error_code: Optional[str], @@ -112 +120 @@ def test_is_valid_auth( - responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) + httpserver.expect_request(hf_auth_path % dataset, headers=headers).respond_with_handler(auth_callback) @@ -133 +141,2 @@ def test_get_splits(client: TestClient) -> None: -# the logic below is just to check the cookie and authorization headers are managed correctly +# caveat: the returned status codes don't simulate the reality +# they're just used to check every case @@ -142,2 +151,8 @@ def test_get_splits(client: TestClient) -> None: [email protected] -def test_splits_auth(client: TestClient, headers: Dict[str, str], status_code: int, error_code: str) -> None: +def test_splits_auth( + client: TestClient, + httpserver: HTTPServer, + hf_auth_path: str, + headers: Dict[str, str], + status_code: int, + error_code: str, +) -> None: @@ -145 +160,4 @@ def test_splits_auth(client: TestClient, headers: Dict[str, str], status_code: i - responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) + httpserver.expect_request(hf_auth_path % dataset, headers=headers).respond_with_handler(auth_callback) + httpserver.expect_request(f"/api/datasets/{dataset}").respond_with_data( + json.dumps({}), headers={"X-Error-Code": "RepoNotFound"} + ) @@ -147 +165 @@ def test_splits_auth(client: TestClient, headers: Dict[str, str], status_code: i - assert response.status_code == status_code + assert response.status_code == status_code, f"{response.headers}, {response.json()}" @@ -151,10 +169,13 @@ def test_splits_auth(client: TestClient, headers: Dict[str, str], status_code: i -def test_get_first_rows(client: TestClient) -> None: - # missing parameter - response = client.get("/first-rows") - assert response.status_code == 422 - response = client.get("/first-rows?dataset=a") - assert response.status_code == 422 - response = client.get("/first-rows?dataset=a&config=b") - assert response.status_code == 422 - # empty parameter - response = client.get("/first-rows?dataset=a&config=b&split=") [email protected]( + "dataset,config,split", + [ + (None, None, None), + ("a", None, None), + ("a", "b", None), + ("a", "b", ""), + ], +) +def test_get_first_rows_missing_parameter( + client: TestClient, dataset: Optional[str], config: Optional[str], split: Optional[str] +) -> None: + response = client.get("/first-rows", params={"dataset": dataset, "config": config, "split": split}) @@ -164,4 +185,21 @@ def test_get_first_rows(client: TestClient) -> None: [email protected] -def test_splits_cache_refreshing(client: TestClient) -> None: - dataset = "acronym_identification" - responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) [email protected]( + "exists,is_private,expected_error_code", + [ + (False, None, "ExternalAuthenticatedError"), + (True, True, "SplitsResponseNotFound"), + (True, False, "SplitsResponseNotReady"), + ], +) +def test_splits_cache_refreshing( + client: TestClient, + httpserver: HTTPServer, + hf_auth_path: str, + exists: bool, + is_private: Optional[bool], + expected_error_code: str, +) -> None: + dataset = "dataset-to-be-processed" + httpserver.expect_request(hf_auth_path % dataset).respond_with_data(status=200 if exists else 404) + httpserver.expect_request(f"/api/datasets/{dataset}").respond_with_data( + json.dumps({"private": is_private}), headers={} if exists else {"X-Error-Code": "RepoNotFound"} + ) @@ -170,11 +208 @@ def test_splits_cache_refreshing(client: TestClient) -> None: - assert response.json()["error"] == "Not found." - add_splits_job(dataset) - mark_splits_responses_as_stale(dataset) - # ^ has no effect for the moment (no entry for the dataset, and anyway: no way to know the value of the stale flag) - response = client.get("/splits", params={"dataset": dataset}) - assert response.json()["error"] == "The list of splits is not ready yet. Please retry later." - # simulate the worker - upsert_splits_response(dataset, {"key": "value"}, HTTPStatus.OK) - response = client.get("/splits", params={"dataset": dataset}) - assert response.json()["key"] == "value" - assert response.status_code == 200 + assert response.headers["X-Error-Code"] == expected_error_code @@ -181,0 +210,4 @@ def test_splits_cache_refreshing(client: TestClient) -> None: + if expected_error_code == "SplitsResponseNotReady": + # a subsequent request should return the same error code + response = client.get("/splits", params={"dataset": dataset}) + assert response.headers["X-Error-Code"] == expected_error_code @@ -183,3 +215,24 @@ def test_splits_cache_refreshing(client: TestClient) -> None: [email protected] -def test_first_rows_cache_refreshing(client: TestClient) -> None: - dataset = "acronym_identification" + # simulate the worker + upsert_splits_response(dataset, {"key": "value"}, HTTPStatus.OK) + response = client.get("/splits", params={"dataset": dataset}) + assert response.json()["key"] == "value" + assert response.status_code == 200 + + [email protected]( + "exists,is_private,expected_error_code", + [ + (False, None, "ExternalAuthenticatedError"), + (True, True, "FirstRowsResponseNotFound"), + (True, False, "FirstRowsResponseNotReady"), + ], +) +def test_first_rows_cache_refreshing( + client: TestClient, + httpserver: HTTPServer, + hf_auth_path: str, + exists: bool, + is_private: Optional[bool], + expected_error_code: str, +) -> None: + dataset = "dataset-to-be-processed" @@ -188 +241,4 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None: - responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) + httpserver.expect_request(hf_auth_path % dataset).respond_with_data(status=200 if exists else 404) + httpserver.expect_request(f"/api/datasets/{dataset}").respond_with_data( + json.dumps({"private": is_private}), headers={} if exists else {"X-Error-Code": "RepoNotFound"} + ) @@ -191,11 +247,12 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None: - assert response.json()["error"] == "Not found." - add_first_rows_job(dataset, config, split) - mark_first_rows_responses_as_stale(dataset, config, split) - # ^ has no effect for the moment (no entry for the split, and anyway: no way to know the value of the stale flag) - response = client.get("/first-rows", params={"dataset": dataset, "config": config, "split": split}) - assert response.json()["error"] == "The list of the first rows is not ready yet. Please retry later." - # simulate the worker - upsert_first_rows_response(dataset, config, split, {"key": "value"}, HTTPStatus.OK) - response = client.get("/first-rows", params={"dataset": dataset, "config": config, "split": split}) - assert response.json()["key"] == "value" - assert response.status_code == 200 + assert response.headers["X-Error-Code"] == expected_error_code + + if expected_error_code == "FirstRowsResponseNotReady": + # a subsequent request should return the same error code + response = client.get("/first-rows", params={"dataset": dataset, "config": config, "split": split}) + assert response.headers["X-Error-Code"] == expected_error_code + + # simulate the worker + upsert_first_rows_response(dataset, config, split, {"key": "value"}, HTTPStatus.OK) + response = client.get("/first-rows", params={"dataset": dataset, "config": config, "split": split}) + assert response.json()["key"] == "value" + assert response.status_code == 200 diff --git a/services/api/tests/test_authentication.py b/services/api/tests/test_authentication.py index 48bc15e2..da07e0c0 100644 --- a/services/api/tests/test_authentication.py +++ b/services/api/tests/test_authentication.py @@ -4 +4,2 @@ -from typing import Dict +from contextlib import nullcontext as does_not_raise +from typing import Any, Dict @@ -7 +8 @@ import pytest -import responses +from pytest_httpserver import HTTPServer @@ -13 +14 @@ from api.utils import ExternalAuthenticatedError, ExternalUnauthenticatedError -from .utils import request_callback +from .utils import auth_callback @@ -25 +25,0 @@ def test_invalid_auth_check_url() -> None: [email protected] @@ -31,2 +31,17 @@ def test_unreachable_external_auth_check_service() -> None: [email protected] -def test_external_auth_responses_without_request() -> None: [email protected]( + "status_code,expectation", + [ + (200, does_not_raise()), + (401, pytest.raises(ExternalUnauthenticatedError)), + (403, pytest.raises(ExternalAuthenticatedError)), + (404, pytest.raises(ExternalAuthenticatedError)), + (429, pytest.raises(ValueError)), + ], +) +def test_external_auth_responses_without_request( + httpserver: HTTPServer, + hf_endpoint: str, + hf_auth_path: str, + status_code: int, + expectation: Any, +) -> None: @@ -34,19 +49,4 @@ def test_external_auth_responses_without_request() -> None: - url = "https://auth.check/%s" - responses.add(responses.GET, url % dataset, status=200) - assert auth_check(dataset, external_auth_url=url) is True - - responses.add(responses.GET, url % dataset, status=401) - with pytest.raises(ExternalUnauthenticatedError): - auth_check(dataset, external_auth_url=url) - - responses.add(responses.GET, url % dataset, status=403) - with pytest.raises(ExternalAuthenticatedError): - auth_check(dataset, external_auth_url=url) - - responses.add(responses.GET, url % dataset, status=404) - with pytest.raises(ExternalAuthenticatedError): - auth_check(dataset, external_auth_url=url) - - responses.add(responses.GET, url % dataset, status=429) - with pytest.raises(ValueError): - auth_check(dataset, external_auth_url=url) + external_auth_url = hf_endpoint + hf_auth_path + httpserver.expect_request(hf_auth_path % dataset).respond_with_data(status=status_code) + with expectation: + auth_check(dataset, external_auth_url=external_auth_url) @@ -70,2 +70,15 @@ def create_request(headers: Dict[str, str]) -> Request: [email protected] -def test_valid_responses_with_request() -> None: [email protected]( + "headers,expectation", + [ + ({"Cookie": "some cookie"}, pytest.raises(ExternalUnauthenticatedError)), + ({"Authorization": "Bearer invalid"}, pytest.raises(ExternalAuthenticatedError)), + ({}, does_not_raise()), + ], +) +def test_valid_responses_with_request( + httpserver: HTTPServer, + hf_endpoint: str, + hf_auth_path: str, + headers: Dict[str, str], + expectation: Any, +) -> None: @@ -73,19 +86,3 @@ def test_valid_responses_with_request() -> None: - url = "https://auth.check/%s" - - responses.add_callback(responses.GET, url % dataset, callback=request_callback) - - with pytest.raises(ExternalUnauthenticatedError): - auth_check( - dataset, - external_auth_url=url, - request=create_request(headers={"cookie": "some cookie"}), - ) - - with pytest.raises(ExternalAuthenticatedError): - auth_check( - dataset, - external_auth_url=url, - request=create_request(headers={"authorization": "Bearer token"}), - ) - - assert ( + external_auth_url = hf_endpoint + hf_auth_path + httpserver.expect_request(hf_auth_path % dataset).respond_with_handler(auth_callback) + with expectation: @@ -94,2 +91,2 @@ def test_valid_responses_with_request() -> None: - external_auth_url=url, - request=create_request(headers={}), + external_auth_url=external_auth_url, + request=create_request(headers=headers), @@ -97,2 +93,0 @@ def test_valid_responses_with_request() -> None: - is True - ) diff --git a/services/api/tests/test_dataset.py b/services/api/tests/test_dataset.py new file mode 100644 index 00000000..f5f7c88e --- /dev/null +++ b/services/api/tests/test_dataset.py @@ -0,0 +1,23 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import json + +import pytest +from pytest_httpserver import HTTPServer + +from api.dataset import is_supported + + [email protected]( + "private,exists,expected", + [(True, False, False), (False, False, True), (True, False, False)], +) +def test_is_supported(httpserver: HTTPServer, hf_endpoint: str, private: bool, exists: bool, expected: bool) -> None: + dataset = "dataset" + endpoint = f"/api/datasets/{dataset}" + hf_token = "dummy_token" + + headers = None if exists else {"X-Error-Code": "RepoNotFound"} + httpserver.expect_request(endpoint).respond_with_data(json.dumps({"private": private}), headers=headers) + assert is_supported(dataset=dataset, hf_endpoint=hf_endpoint, hf_token=hf_token) is expected diff --git a/services/api/tests/utils.py b/services/api/tests/utils.py index c23582fa..b7cc894b 100644 --- a/services/api/tests/utils.py +++ b/services/api/tests/utils.py @@ -4 +4,2 @@ -from typing import Mapping, Tuple, Union +from werkzeug.wrappers.request import Request +from werkzeug.wrappers.response import Response @@ -6,2 +6,0 @@ from typing import Mapping, Tuple, Union -from requests import PreparedRequest -from responses import _Body @@ -9,2 +8 @@ from responses import _Body - -def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Mapping[str, str], _Body]]: +def auth_callback(request: Request) -> Response: @@ -12,8 +10,7 @@ def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Ma - # and 401 if none has been provided - # there is no logic behind this behavior, it's just to test if the cookie and - # token are correctly passed to the auth_check service - if request.headers.get("cookie"): - return (401, {"Content-Type": "text/plain"}, "OK") - if request.headers.get("authorization"): - return (404, {"Content-Type": "text/plain"}, "OK") - return (200, {"Content-Type": "text/plain"}, "OK") + # and 200 if none has been provided + # + # caveat: the returned status codes don't simulate the reality + # they're just used to check every case + return Response( + status=401 if request.headers.get("cookie") else 404 if request.headers.get("authorization") else 200 + ) diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index 7c2bb200..9bd1f387 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -253,0 +254,2 @@ def get_first_rows_response( + hf_endpoint (`str`): + The Hub endpoint (for example: "https://huggingface.co") diff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py index a32bf815..68a56a04 100644 --- a/services/worker/src/worker/responses/splits.py +++ b/services/worker/src/worker/responses/splits.py @@ -57,0 +58,2 @@ def get_splits_response( + hf_endpoint (`str`): + The Hub endpoint (for example: "https://huggingface.co") diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index 9c83740a..42efb6e9 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -36,0 +37 @@ services: + HF_TOKEN: ${HF_TOKEN} diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index cb1b92d7..deedb146 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -33,0 +34 @@ services: + HF_TOKEN: ${HF_TOKEN}
6ef3c22b48974ebb71317b23ac7f87c463fd2d06
Sylvain Lesage
2022-09-22T08:55:28
Hot fix webhook v1 (#581)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 7980766d..64e989fa 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -4 +4 @@ - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-ff2b3f4", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-fe75069", diff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py index fbd2c448..49f1c027 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -22 +22 @@ logger = logging.getLogger(__name__) -class MoonWebhookV2Payload(TypedDict): +class MoonWebhookV1Payload(TypedDict): @@ -36 +36 @@ class WebHookContent(TypedDict): -def parse_payload(json: Any) -> MoonWebhookV2Payload: +def parse_payload(json: Any) -> MoonWebhookV1Payload: @@ -48,3 +48,5 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]: - if id == dataset_name: - logger.info(f"ignored because a full dataset id must starts with 'datasets/': {id}") - return None + # temporarily disabled to fix a bug with the webhook + # (see https://github.com/huggingface/datasets-server/issues/380#issuecomment-1254670923) + # if id == dataset_name: + # logger.info(f"ignored because a full dataset id must starts with 'datasets/': {id}") + # return None @@ -73 +75 @@ def try_to_delete(id: Optional[str]) -> None: -def process_payload(payload: MoonWebhookV2Payload) -> None: +def process_payload(payload: MoonWebhookV1Payload) -> None:
f3da323b5ebd4548c30c2b6e3cafa67b098184fa
Sylvain Lesage
2022-09-21T16:36:21
feat: 🎸 upgrade datasets to 2.5.1 (#580)
diff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml index 9aaf1336..50ca16dc 100644 --- a/.github/workflows/s-worker.yml +++ b/.github/workflows/s-worker.yml @@ -21,2 +21 @@ jobs: - # pillow <9.0.0, ujson<5.4.0 - safety-exceptions: "-i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487 -i 49754 -i 49755" + safety-exceptions: "" diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index ae9205d6..7980766d 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +7,2 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-13e067c", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-13e067c" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-0dff3bf", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-0dff3bf" diff --git a/services/worker/Makefile b/services/worker/Makefile index 45aeeaf7..b6518efd 100644 --- a/services/worker/Makefile +++ b/services/worker/Makefile @@ -11,4 +11 @@ TEST_DOCKER_COMPOSE := ../../tools/docker-compose-mongo.yml -# pillow <9.0.0 -PILLOW_EXCEPTIONS := -i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487 -UJSON_EXCEPTIONS := -i 49754 -i 49755 -SAFETY_EXCEPTIONS := $(PILLOW_EXCEPTIONS) $(UJSON_EXCEPTIONS) +#SAFETY_EXCEPTIONS := diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 31f65e37..b83ee272 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -348 +348 @@ name = "datasets" -version = "2.4.0" +version = "2.5.1" @@ -352 +352 @@ optional = false -python-versions = "*" +python-versions = ">=3.7.0" @@ -372,11 +371,0 @@ xxhash = "*" -vision = ["Pillow (>=6.2.1)"] -torch = ["torch"] -tests = ["importlib-resources", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] -tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] -tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"] -s3 = ["s3fs", "botocore", "boto3", "fsspec"] -quality = ["pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)"] -docs = ["s3fs"] -dev = ["importlib-resources", "pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] -benchmarks = ["transformers (==3.0.2)", "torch (==1.6.0)", "tensorflow (==2.3.0)", "numpy (==1.18.5)"] -audio = ["librosa"] @@ -383,0 +373,11 @@ apache-beam = ["apache-beam (>=2.26.0)"] +audio = ["librosa"] +benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "bs4", "conllu", "h5py", "lxml", "mwparserfromhell", "openpyxl", "py7zr", "zstandard", "sentencepiece", "rouge-score", "sacremoses", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "sacrebleu", "scikit-learn", "scipy", "seqeval", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] +docs = ["s3fs"] +quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] +s3 = ["fsspec", "boto3", "botocore", "s3fs"] +tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"] +tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (>=2.0.1)", "boto3 (>=1.19.8)", "botocore (>=1.22.8)", "faiss-cpu (>=1.6.4)", "fsspec", "lz4", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio (<0.12.0)", "soundfile", "transformers", "bs4", "conllu", "h5py", "lxml", "mwparserfromhell", "openpyxl", "py7zr", "zstandard", "sentencepiece", "rouge-score", "sacremoses", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "sacrebleu", "scikit-learn", "scipy", "seqeval", "tldextract", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)", "Pillow (>=6.2.1)", "librosa"] +torch = ["torch"] +vision = ["Pillow (>=6.2.1)"] @@ -2236 +2236 @@ python-versions = "3.9.6" -content-hash = "33392f2f475fb502473e2252603d317fdb6156f797689ae69772a8420d94a0b0" +content-hash = "2d4aa333d0c236b3aa7bf34ea10e17e146989aa8265d5e53620959d784f3d17e" diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index a2933961..3c478285 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { extras = ["audio", "vision"], version = "^2.4.0" } +datasets = { extras = ["audio", "vision"], version = "^2.5.1" } diff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py index aa351ae7..a32bf815 100644 --- a/services/worker/src/worker/responses/splits.py +++ b/services/worker/src/worker/responses/splits.py @@ -12,0 +13 @@ from datasets import ( +from datasets.data_files import EmptyDatasetError as _EmptyDatasetError @@ -16 +17 @@ from huggingface_hub.utils import RepositoryNotFoundError # type: ignore -from worker.utils import DatasetNotFoundError, SplitsNamesError +from worker.utils import DatasetNotFoundError, EmptyDatasetError, SplitsNamesError @@ -78,0 +80,2 @@ def get_splits_response( + except _EmptyDatasetError as err: + raise EmptyDatasetError("The dataset is empty.", cause=err) from err diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py index 8e7f3012..e0d1e628 100644 --- a/services/worker/src/worker/utils.py +++ b/services/worker/src/worker/utils.py @@ -16,0 +17 @@ WorkerErrorCode = Literal[ + "EmptyDatasetError", @@ -67,0 +69,7 @@ class SplitsNamesError(WorkerCustomError): +class EmptyDatasetError(WorkerCustomError): + """Raised when the dataset has no data.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "EmptyDatasetError", cause, True) + + diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index 3600c91b..95b4f52d 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -21 +21 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s - ("empty", False, "SplitsNamesError", "FileNotFoundError"), + ("empty", False, "EmptyDatasetError", "EmptyDatasetError"), @@ -69 +68,0 @@ def test_number_rows( - assert response["error"] == "Cannot get the split names for the dataset." @@ -72,2 +71 @@ def test_number_rows( - assert response_dict["cause_exception"] == "FileNotFoundError" - assert str(response_dict["cause_message"]).startswith("Couldn't find a dataset script at ") + assert response_dict["cause_exception"] == cause diff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py index 39124fc5..c0b6639e 100644 --- a/services/worker/tests/responses/test_splits.py +++ b/services/worker/tests/responses/test_splits.py @@ -20 +20 @@ from ..utils import HF_ENDPOINT, HF_TOKEN - ("empty", False, "SplitsNamesError", "FileNotFoundError"), + ("empty", False, "EmptyDatasetError", "EmptyDatasetError"), @@ -47 +46,0 @@ def test_get_splits_response_simple_csv( - assert response["error"] == "Cannot get the split names for the dataset." @@ -50,2 +49 @@ def test_get_splits_response_simple_csv( - assert response_dict["cause_exception"] == "FileNotFoundError" - assert str(response_dict["cause_message"]).startswith("Couldn't find a dataset script at ") + assert response_dict["cause_exception"] == cause @@ -54,18 +51,0 @@ def test_get_splits_response_simple_csv( - - -# @pytest.mark.real_dataset -# def test_script_error() -> None: -# # raises "ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'" -# # which should be caught and raised as DatasetBuilderScriptError -# with pytest.raises(ModuleNotFoundError): -# get_dataset_split_full_names(dataset_name="piEsposito/br-quad-2.0") - - -# @pytest.mark.real_dataset -# def test_builder_config_error() -> None: -# with pytest.raises(SplitsNotFoundError): -# get_dataset_split_full_names(dataset_name="KETI-AIR/nikl") -# with pytest.raises(RuntimeError): -# get_dataset_split_full_names(dataset_name="nateraw/image-folder") -# with pytest.raises(TypeError): -# get_dataset_split_full_names(dataset_name="Valahaar/wsdmt")
eccfd0a361a751c184174b7ea6fd07718b597ae0
Sylvain Lesage
2022-09-21T12:13:29
Use json logs in nginx (#579)
diff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template index c1dcb390..04858d50 100644 --- a/chart/nginx-templates/default.conf.template +++ b/chart/nginx-templates/default.conf.template @@ -1,4 +1,21 @@ -log_format datasetsserver '$remote_addr - $remote_user [$time_local]' - ' "$request_method $scheme://$host$request_uri $server_protocol" ' - '$status $body_bytes_sent "$http_referer" ' - '"$http_user_agent" "$http_x_forwarded_for"'; +log_format datasetsserver escape=json + '{' + '"message":"$remote_addr - $remote_user [$time_local]' + ' \\"$request_method $scheme://$host$request_uri $server_protocol\\" ' + '$status $body_bytes_sent \\"$http_referer\\" ' + '\\"$http_user_agent\\" \\"$http_x_forwarded_for\\"",' + '"remote_addr":"$remote_addr",' + '"remote_user":"$remote_user",' + '"time_local":"$time_local",' + '"request_method":"$request_method",' + '"scheme":"$scheme",' + '"host":"$host",' + '"request_uri":"$request_uri",' + '"server_protocol":"$server_protocol",' + '"status":"$status",' + '"body_bytes_sent":"$body_bytes_sent",' + '"http_referer":"$http_referer",' + '"http_user_agent":"$http_user_agent",' + '"http_x_forwarded_for":"$http_x_forwarded_for",' + '"request_body":"$request_body"' + '}'; diff --git a/chart/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml index 81648de2..897d30fb 100644 --- a/chart/templates/reverse-proxy/deployment.yaml +++ b/chart/templates/reverse-proxy/deployment.yaml @@ -26,0 +27,3 @@ spec: + annotations: + co.elastic.logs/json.expand_keys: "true" + checksum/config: {{ include (print $.Template.BasePath "/reverse-proxy/configMap.yaml") . | sha256sum }}
afe2a9f5cc4f6eaf4d54242ae5d09e5dcfa3a84e
Sylvain Lesage
2022-09-20T20:49:33
Fix dependency vulnerabilities (#577)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index b88b084f..ae9205d6 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +7,2 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-30cf829", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-30cf829" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-13e067c", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-13e067c" diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 7f3ab4e3..31f65e37 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -926 +926 @@ name = "lxml" -version = "4.9.0" +version = "4.9.1" @@ -1107 +1107 @@ name = "oauthlib" -version = "3.2.0" +version = "3.2.1" @@ -2141 +2141 @@ name = "ujson" -version = "5.3.0" +version = "5.5.0" @@ -2236 +2236 @@ python-versions = "3.9.6" -content-hash = "de32221d3e970c55655a9cddb02878b7b6db669a1c43ef7670eaae6537597f8f" +content-hash = "33392f2f475fb502473e2252603d317fdb6156f797689ae69772a8420d94a0b0" @@ -3026,65 +3026 @@ lm-dataformat = [ -lxml = [ - 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3a6a7990122f136f54d1113d609d72eb1595c424
Sylvain Lesage
2022-09-20T13:56:56
refactor: 💡 remove dead code and TODO comments (#576)
diff --git a/chart/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl index 58617369..79af2dfe 100644 --- a/chart/templates/worker/first-rows/_container.tpl +++ b/chart/templates/worker/first-rows/_container.tpl @@ -91,7 +90,0 @@ - # TODO: provide readiness and liveness probes - # readinessProbe: - # tcpSocket: - # port: {{ .Values.worker.firstRows.readinessPort }} - # livenessProbe: - # tcpSocket: - # port: {{ .Values.worker.firstRows.readinessPort }} diff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl index abf78b89..82c77f50 100644 --- a/chart/templates/worker/splits/_container.tpl +++ b/chart/templates/worker/splits/_container.tpl @@ -90,7 +89,0 @@ - # TODO: provide readiness and liveness probes - # readinessProbe: - # tcpSocket: - # port: {{ .Values.worker.splits.readinessPort }} - # livenessProbe: - # tcpSocket: - # port: {{ .Values.worker.splits.readinessPort }} diff --git a/e2e/tests/conftest.py b/e2e/tests/conftest.py index a8cded4a..3816571b 100644 --- a/e2e/tests/conftest.py +++ b/e2e/tests/conftest.py @@ -15 +14,0 @@ def ensure_services_are_up() -> None: - # TODO: add endpoints to check the workers are up? diff --git a/e2e/tests/test_30_auth.py b/e2e/tests/test_30_auth.py index a7755c68..b7a697b4 100644 --- a/e2e/tests/test_30_auth.py +++ b/e2e/tests/test_30_auth.py @@ -48,3 +48 @@ def test_split_public_auth( - # pivate: no need to refresh, it's not implemented. - # TODO: the webhook should respond 501 Not implemented when provided with a private dataset - # (and delete the cache if existing) + # private: no need to refresh, it's not implemented. diff --git a/e2e/tests/test_50_first_rows.py b/e2e/tests/test_50_first_rows.py index 8780d2db..342507f5 100644 --- a/e2e/tests/test_50_first_rows.py +++ b/e2e/tests/test_50_first_rows.py @@ -27,5 +26,0 @@ def prepare_json(response: requests.Response) -> Any: - # (200, "imdb", "imdb", "plain_text", "train", None), - # (200, "truncated", "ett", "m2", "test", None), - # (200, "image", "huggan/horse2zebra", "huggan--horse2zebra-aligned", "train", None), - # (200, "audio", "mozilla-foundation/common_voice_9_0", "en", "train", None), - # ^ awfully long @@ -40,18 +34,0 @@ def prepare_json(response: requests.Response) -> Any: - # ( - # 401, - # "gated-dataset", - # "severo/dummy_gated", - # "severo--embellishments", - # "train", - # "ExternalUnauthenticatedError", - # ), - # ( - # 401, - # "private-dataset", - # "severo/dummy_private", - # "severo--embellishments", - # "train", - # "ExternalUnauthenticatedError", - # ), - # (404, "inexistent-config", "imdb", "inexistent-config", "train", "FirstRowsResponseNotFound"), - # (404, "inexistent-split", "imdb", "plain_text", "inexistent-split", "FirstRowsResponseNotFound"), @@ -64,10 +40,0 @@ def prepare_json(response: requests.Response) -> Any: - # (500, "NonMatchingCheckError", "ar_cov19", "ar_cov19", "train", "NormalRowsError"), - # (500, "FileNotFoundError", "atomic", "atomic", "train", "NormalRowsError"), - # (500, "not-ready", "anli", "plain_text", "train_r1", "FirstRowsResponseNotReady"), - # not tested: 'internal_error' - # TODO: - # "SplitsNamesError", - # "InfoError", - # "FeaturesError", - # "StreamingRowsError", - # "RowsPostProcessingError", @@ -106,30 +72,0 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - - -# from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_first_rows - -# # TODO: find a dataset that can be processed faster -# def test_png_image(): -# # this test ensures that an image is saved as PNG if it cannot be saved as PNG -# # https://github.com/huggingface/datasets-server/issues/191 -# dataset = "wikimedia/wit_base" -# config = "wikimedia--wit_base" -# split = "train" - -# _, r_rows = refresh_poll_splits_first_rows(dataset, config, split) - -# assert r_rows.status_code == 200, f"{r_rows.status_code} - {r_rows.text}" -# json = r_rows.json() - -# assert "features" in json, json -# assert json["features"][0]["name"] == "image", json -# assert json["features"][0]["type"]["_type"] == "Image", json -# assert ( -# json["rows"][0]["row"]["image"] -# == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" -# ), json - -# # assert ( -# # json["rows"][20]["row"]["image"] -# # == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" -# # ) -# # ^only four rows for now diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 3a24a80a..73e99dd9 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -109,2 +108,0 @@ AnyResponse = TypeVar("AnyResponse", SplitsResponse, FirstRowsResponse) -# TODO: add logger.debug for each operation? - diff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py index 58752370..934d6962 100644 --- a/libs/libqueue/src/libqueue/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -36,4 +35,0 @@ logger = logging.getLogger(__name__) -# TODO: DRY and use the template method pattern to separate the specifics of each queue -# (the list of arguments of a job) from the logics (status, retries, etc.) -# (https://roadmap.sh/guides/design-patterns-for-humans#-template-method) - diff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py index 088e06b5..9d76621d 100644 --- a/services/admin/tests/scripts/test_refresh_cache_canonical.py +++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py @@ -12,2 +11,0 @@ def test_get_hf_canonical_dataset_names(hf_dataset_repos_csv_data: DatasetRepos) - # ^ TODO: have some canonical datasets in the hub-ci instance - # with the current fixture user we are not able to create canonical datasets diff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py index 858d60b7..b5a35499 100644 --- a/services/api/src/api/utils.py +++ b/services/api/src/api/utils.py @@ -38 +37,0 @@ class ApiCustomError(CustomError): - # TODO: log the error and the cause diff --git a/services/worker/src/worker/asset.py b/services/worker/src/worker/asset.py index 008d5066..989050cf 100644 --- a/services/worker/src/worker/asset.py +++ b/services/worker/src/worker/asset.py @@ -74,3 +73,0 @@ def create_audio_files( - - -# TODO: add a function to flush all the assets of a dataset diff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py index 4c8fdaf6..5e9a4325 100644 --- a/services/worker/src/worker/features.py +++ b/services/worker/src/worker/features.py @@ -102,3 +102,3 @@ def get_cell_value( - or isinstance(fieldType, Sequence) # TODO: what if it's a Sequence of Audio or Image? -> JSON for now - or isinstance(fieldType, list) # TODO: what if it's a list of Audio or Image? -> JSON for now - or isinstance(fieldType, dict) # TODO: what if it's a dict of Audio or Image? -> JSON for now + or isinstance(fieldType, Sequence) + or isinstance(fieldType, list) + or isinstance(fieldType, dict) @@ -106 +105,0 @@ def get_cell_value( - # TODO: check the type? diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index cddd4014..3600c91b 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -20 +20 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s - ("private", True, None, None), # <- TODO: should we disable accessing private datasets? + ("private", True, None, None), diff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py index 58dc6dda..39124fc5 100644 --- a/services/worker/tests/responses/test_splits.py +++ b/services/worker/tests/responses/test_splits.py @@ -19 +19 @@ from ..utils import HF_ENDPOINT, HF_TOKEN - ("private", True, None, None), # <- TODO: should we disable accessing private datasets? + ("private", True, None, None), diff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py index 3e4f04be..35e5c2e4 100644 --- a/services/worker/tests/test_features.py +++ b/services/worker/tests/test_features.py @@ -39 +38,0 @@ from .utils import ASSETS_BASE_URL - # ^ TODO: is it a datasets bug? @@ -42 +40,0 @@ from .utils import ASSETS_BASE_URL - # ^ TODO: is it a datasets bug? @@ -45,2 +42,0 @@ from .utils import ASSETS_BASE_URL - # TODO: time32[(s|ms)] - # TODO: time64[(us|ns)] @@ -56,7 +51,0 @@ from .utils import ASSETS_BASE_URL - # TODO: date32 - # TODO: date64 - # TODO: duration[(s|ms|us|ns)] - # TODO: decimal128(precision, scale) - # TODO: decimal256(precision, scale) - # TODO: binary - # TODO: large_binary @@ -64 +52,0 @@ from .utils import ASSETS_BASE_URL - # TODO: large_string diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index 62d9cac2..9c83740a 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -104 +103,0 @@ services: - # TODO: authentication, healthcheck, expose?, migrations? diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index 70026b7a..cb1b92d7 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -98 +97,0 @@ services: - # TODO: authentication, healthcheck, expose?, migrations?
142a67043743181eb27a085923bfed7bd2beb445
Sylvain Lesage
2022-09-20T13:00:37
docs: ✏️ fix the docs to only use datasets server, not ds api (#575)
diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index 1db3d3b4..88590966 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -4 +4 @@ - title: 🤗 Datasets API + title: 🤗 Datasets server diff --git a/docs/source/index.mdx b/docs/source/index.mdx index 915839be..4e93c9cb 100644 --- a/docs/source/index.mdx +++ b/docs/source/index.mdx @@ -1 +1 @@ -# Datasets API +# Datasets server
dbd54ee1c41a25ccb86fd8a9ac0ce704da18a63c
Sylvain Lesage
2022-09-20T12:44:32
chore: 🤖 add license and other files before going opensource (#571)
diff --git a/.github/workflows/_docker.yml b/.github/workflows/_docker.yml index bff9777d..ddd85d80 100644 --- a/.github/workflows/_docker.yml +++ b/.github/workflows/_docker.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 66bafcf3..2af41819 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/_quality-python.yml b/.github/workflows/_quality-python.yml index f9a90c10..512cd69d 100644 --- a/.github/workflows/_quality-python.yml +++ b/.github/workflows/_quality-python.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/_unit-tests-python.yml b/.github/workflows/_unit-tests-python.yml index 0d8f4087..0291bb38 100644 --- a/.github/workflows/_unit-tests-python.yml +++ b/.github/workflows/_unit-tests-python.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/chart.yml b/.github/workflows/chart.yml index fbc2b664..ef433df4 100644 --- a/.github/workflows/chart.yml +++ b/.github/workflows/chart.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/doc-build.yml b/.github/workflows/doc-build.yml index 9b2b8f7f..d19baefc 100644 --- a/.github/workflows/doc-build.yml +++ b/.github/workflows/doc-build.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/doc-pr-build.yml b/.github/workflows/doc-pr-build.yml index ec7d1fd5..f962ada5 100644 --- a/.github/workflows/doc-pr-build.yml +++ b/.github/workflows/doc-pr-build.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/doc-pr-delete.yml b/.github/workflows/doc-pr-delete.yml index 76afa9c9..a4a39a4a 100644 --- a/.github/workflows/doc-pr-delete.yml +++ b/.github/workflows/doc-pr-delete.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 07470410..0bc34f43 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/l-libcache.yml b/.github/workflows/l-libcache.yml index 10c76d27..5981ca8c 100644 --- a/.github/workflows/l-libcache.yml +++ b/.github/workflows/l-libcache.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/l-libqueue.yml b/.github/workflows/l-libqueue.yml index b8ea7f92..cfb67194 100644 --- a/.github/workflows/l-libqueue.yml +++ b/.github/workflows/l-libqueue.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/l-libutils.yml b/.github/workflows/l-libutils.yml index 46e6d866..80b0296c 100644 --- a/.github/workflows/l-libutils.yml +++ b/.github/workflows/l-libutils.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/openapi-spec.yml b/.github/workflows/openapi-spec.yml index 0ad6f243..91dd0a9b 100644 --- a/.github/workflows/openapi-spec.yml +++ b/.github/workflows/openapi-spec.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/s-admin-build.yml b/.github/workflows/s-admin-build.yml index 7b0a0602..c8337e9f 100644 --- a/.github/workflows/s-admin-build.yml +++ b/.github/workflows/s-admin-build.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/s-admin.yml b/.github/workflows/s-admin.yml index 3203f8d5..ddc57a5d 100644 --- a/.github/workflows/s-admin.yml +++ b/.github/workflows/s-admin.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/s-api-build.yml b/.github/workflows/s-api-build.yml index bac06f22..75a86ac1 100644 --- a/.github/workflows/s-api-build.yml +++ b/.github/workflows/s-api-build.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/s-api.yml b/.github/workflows/s-api.yml index 89b58577..36f6719b 100644 --- a/.github/workflows/s-api.yml +++ b/.github/workflows/s-api.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/s-worker-build.yml b/.github/workflows/s-worker-build.yml index 1f1e4ef3..1dc852e4 100644 --- a/.github/workflows/s-worker-build.yml +++ b/.github/workflows/s-worker-build.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml index f464bfb8..9aaf1336 100644 --- a/.github/workflows/s-worker.yml +++ b/.github/workflows/s-worker.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml index 87b3e337..9db2736d 100644 --- a/.github/workflows/stale.yml +++ b/.github/workflows/stale.yml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/AUTHORS b/AUTHORS new file mode 100644 index 00000000..b10072f7 --- /dev/null +++ b/AUTHORS @@ -0,0 +1,7 @@ +# This is the list of HuggingFace Datasets Server authors for copyright purposes. +# +# This does not necessarily list everyone who has contributed code, since in +# some cases, their employer may be the copyright holder. To see the full list +# of contributors, see the revision history in source control. + +HuggingFace Inc. diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 00000000..450a63cc --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,132 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +We as members, contributors, and leaders pledge to make participation in our +community a harassment-free experience for everyone, regardless of age, body +size, visible or invisible disability, ethnicity, sex characteristics, gender +identity and expression, level of experience, education, socio-economic status, +nationality, personal appearance, race, caste, color, religion, or sexual identity +and orientation. + +We pledge to act and interact in ways that contribute to an open, welcoming, +diverse, inclusive, and healthy community. + +## Our Standards + +Examples of behavior that contributes to a positive environment for our +community include: + +* Demonstrating empathy and kindness toward other people +* Being respectful of differing opinions, viewpoints, and experiences +* Giving and gracefully accepting constructive feedback +* Accepting responsibility and apologizing to those affected by our mistakes, + and learning from the experience +* Focusing on what is best not just for us as individuals, but for the + overall community + +Examples of unacceptable behavior include: + +* The use of sexualized language or imagery, and sexual attention or + advances of any kind +* Trolling, insulting or derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or email + address, without their explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Enforcement Responsibilities + +Community leaders are responsible for clarifying and enforcing our standards of +acceptable behavior and will take appropriate and fair corrective action in +response to any behavior that they deem inappropriate, threatening, offensive, +or harmful. + +Community leaders have the right and responsibility to remove, edit, or reject +comments, commits, code, wiki edits, issues, and other contributions that are +not aligned to this Code of Conduct, and will communicate reasons for moderation +decisions when appropriate. + +## Scope + +This Code of Conduct applies within all community spaces, and also applies when +an individual is officially representing the community in public spaces. +Examples of representing our community include using an official e-mail address, +posting via an official social media account, or acting as an appointed +representative at an online or offline event. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported to the community leaders responsible for enforcement at [email protected]. +All complaints will be reviewed and investigated promptly and fairly. + +All community leaders are obligated to respect the privacy and security of the +reporter of any incident. + +## Enforcement Guidelines + +Community leaders will follow these Community Impact Guidelines in determining +the consequences for any action they deem in violation of this Code of Conduct: + +### 1. Correction + +**Community Impact**: Use of inappropriate language or other behavior deemed +unprofessional or unwelcome in the community. + +**Consequence**: A private, written warning from community leaders, providing +clarity around the nature of the violation and an explanation of why the +behavior was inappropriate. A public apology may be requested. + +### 2. Warning + +**Community Impact**: A violation through a single incident or series +of actions. + +**Consequence**: A warning with consequences for continued behavior. No +interaction with the people involved, including unsolicited interaction with +those enforcing the Code of Conduct, for a specified period of time. This +includes avoiding interactions in community spaces as well as external channels +like social media. Violating these terms may lead to a temporary or +permanent ban. + +### 3. Temporary Ban + +**Community Impact**: A serious violation of community standards, including +sustained inappropriate behavior. + +**Consequence**: A temporary ban from any sort of interaction or public +communication with the community for a specified period of time. No public or +private interaction with the people involved, including unsolicited interaction +with those enforcing the Code of Conduct, is allowed during this period. +Violating these terms may lead to a permanent ban. + +### 4. Permanent Ban + +**Community Impact**: Demonstrating a pattern of violation of community +standards, including sustained inappropriate behavior, harassment of an +individual, or aggression toward or disparagement of classes of individuals. + +**Consequence**: A permanent ban from any sort of public interaction within +the community. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], +version 2.0, available at +[https://www.contributor-covenant.org/version/2/0/code_of_conduct.html][v2.0]. + +Community Impact Guidelines were inspired by +[Mozilla's code of conduct enforcement ladder][Mozilla CoC]. + +For answers to common questions about this code of conduct, see the FAQ at +[https://www.contributor-covenant.org/faq][FAQ]. Translations are available +at [https://www.contributor-covenant.org/translations][translations]. + +[homepage]: https://www.contributor-covenant.org +[v2.0]: https://www.contributor-covenant.org/version/2/0/code_of_conduct.html +[Mozilla CoC]: https://github.com/mozilla/diversity +[FAQ]: https://www.contributor-covenant.org/faq +[translations]: https://www.contributor-covenant.org/translations diff --git a/LICENSE b/LICENSE new file mode 100644 index 00000000..d6456956 --- /dev/null +++ b/LICENSE @@ -0,0 +1,202 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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The `HF_TOKEN` environment variable used by the workers to access the gated datasets must be set accordingly. - -| Where | `HF_ENDPOINT` (api, worker) | `HF_TOKEN` (worker) | -| ----------------- | ----------------------------------------------------------------------- | ------------------------------------------------------------ | -| production | https://huggingface.co/ | Kubernetes secret | -| development | https://huggingface.co/ | Kubernetes secret | -| local docker | https://huggingface.co/. Override with `HF_ENDPOINT=... make start-...` | Enable the gated datasets with `HF_TOKEN=... make start-...` | -| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` | -| worker unit tests | https://hub-ci.huggingface.co/ | Hard-coded: `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` | diff --git a/SECURITY.md b/SECURITY.md new file mode 100644 index 00000000..c8a500a2 --- /dev/null +++ b/SECURITY.md @@ -0,0 +1,33 @@ +# Security Policy + +## Supported Versions + +<!-- +Use this section to tell people about which versions of your project are +currently being supported with security updates. + +| Version | Supported | +| ------- | ------------------ | +| 5.1.x | :white_check_mark: | +| 5.0.x | :x: | +| 4.0.x | :white_check_mark: | +| < 4.0 | :x: | +--> + +Each major version is currently being supported with security updates. + +| Version | Supported | +| ------- | ------------------ | +| 1.x.x | :white_check_mark: | + +## Reporting a Vulnerability + +<!-- +Use this section to tell people how to report a vulnerability. + +Tell them where to go, how often they can expect to get an update on a +reported vulnerability, what to expect if the vulnerability is accepted or +declined, etc. +--> + +To report a security vulnerability, please contact: [email protected] diff --git a/chart/Chart.yaml b/chart/Chart.yaml index d048c581..ff3ee87e 100644 --- a/chart/Chart.yaml +++ b/chart/Chart.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/env/dev.yaml b/chart/env/dev.yaml index b3de8885..0c52ca0b 100644 --- a/chart/env/dev.yaml +++ b/chart/env/dev.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 6dda8ad0..3002e880 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/_helpers.tpl b/chart/templates/_helpers.tpl index 833fcc2c..f0533761 100644 --- a/chart/templates/_helpers.tpl +++ b/chart/templates/_helpers.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/_initContainerAssets.tpl b/chart/templates/_initContainerAssets.tpl index 71c046c6..64246828 100644 --- a/chart/templates/_initContainerAssets.tpl +++ b/chart/templates/_initContainerAssets.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/_initContainerCache.tpl b/chart/templates/_initContainerCache.tpl index 92c26e23..4504665d 100644 --- a/chart/templates/_initContainerCache.tpl +++ b/chart/templates/_initContainerCache.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/_initContainerNumbaCache.tpl b/chart/templates/_initContainerNumbaCache.tpl index 09bdd172..1f9bd87c 100644 --- a/chart/templates/_initContainerNumbaCache.tpl +++ b/chart/templates/_initContainerNumbaCache.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl index 7429d3d4..aa13526f 100644 --- a/chart/templates/admin/_container.tpl +++ b/chart/templates/admin/_container.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/admin/deployment.yaml b/chart/templates/admin/deployment.yaml index b002e92e..a5061067 100644 --- a/chart/templates/admin/deployment.yaml +++ b/chart/templates/admin/deployment.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/admin/service.yaml b/chart/templates/admin/service.yaml index 16d785d1..857e6d5b 100644 --- a/chart/templates/admin/service.yaml +++ b/chart/templates/admin/service.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/admin/servicemonitor.yaml b/chart/templates/admin/servicemonitor.yaml index 234943ac..8500e0fb 100644 --- a/chart/templates/admin/servicemonitor.yaml +++ b/chart/templates/admin/servicemonitor.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl index afe53d8c..87228447 100644 --- a/chart/templates/api/_container.tpl +++ b/chart/templates/api/_container.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/api/deployment.yaml b/chart/templates/api/deployment.yaml index 07fa757b..0046d64d 100644 --- a/chart/templates/api/deployment.yaml +++ b/chart/templates/api/deployment.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/api/service.yaml b/chart/templates/api/service.yaml index 4ff25b8f..779d2db0 100644 --- a/chart/templates/api/service.yaml +++ b/chart/templates/api/service.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/api/servicemonitor.yaml b/chart/templates/api/servicemonitor.yaml index a3d9e230..2ceffe2a 100644 --- a/chart/templates/api/servicemonitor.yaml +++ b/chart/templates/api/servicemonitor.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl index 412f94ae..7b957507 100644 --- a/chart/templates/reverse-proxy/_container.tpl +++ b/chart/templates/reverse-proxy/_container.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/reverse-proxy/configMap.yaml b/chart/templates/reverse-proxy/configMap.yaml index 14f8eade..72021abf 100644 --- a/chart/templates/reverse-proxy/configMap.yaml +++ b/chart/templates/reverse-proxy/configMap.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml index ab2bb9c7..81648de2 100644 --- a/chart/templates/reverse-proxy/deployment.yaml +++ b/chart/templates/reverse-proxy/deployment.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/reverse-proxy/service.yaml b/chart/templates/reverse-proxy/service.yaml index 93eef209..5b99652a 100644 --- a/chart/templates/reverse-proxy/service.yaml +++ b/chart/templates/reverse-proxy/service.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl index ee99e06b..58617369 100644 --- a/chart/templates/worker/first-rows/_container.tpl +++ b/chart/templates/worker/first-rows/_container.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/worker/first-rows/deployment.yaml b/chart/templates/worker/first-rows/deployment.yaml index 0670d291..7c5af3a5 100644 --- a/chart/templates/worker/first-rows/deployment.yaml +++ b/chart/templates/worker/first-rows/deployment.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl index 308b3ebf..abf78b89 100644 --- a/chart/templates/worker/splits/_container.tpl +++ b/chart/templates/worker/splits/_container.tpl @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/chart/templates/worker/splits/deployment.yaml b/chart/templates/worker/splits/deployment.yaml index ebc724b1..fe3a8c6a 100644 --- a/chart/templates/worker/splits/deployment.yaml +++ b/chart/templates/worker/splits/deployment.yaml @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/pyproject.toml b/e2e/pyproject.toml index 5e7bb7aa..368b7352 100644 --- a/e2e/pyproject.toml +++ b/e2e/pyproject.toml @@ -5,0 +6 @@ version = "0.1.0" +license = "Apache-2.0" diff --git a/e2e/src/__init__.py b/e2e/src/__init__.py index e69de29b..1e9d0c5a 100644 --- a/e2e/src/__init__.py +++ b/e2e/src/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/e2e/tests/__init__.py b/e2e/tests/__init__.py index e69de29b..1e9d0c5a 100644 --- a/e2e/tests/__init__.py +++ b/e2e/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/e2e/tests/conftest.py b/e2e/tests/conftest.py index 7fafc27a..a8cded4a 100644 --- a/e2e/tests/conftest.py +++ b/e2e/tests/conftest.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/fixtures/__init__.py b/e2e/tests/fixtures/__init__.py index e69de29b..1e9d0c5a 100644 --- a/e2e/tests/fixtures/__init__.py +++ b/e2e/tests/fixtures/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/e2e/tests/fixtures/files.py b/e2e/tests/fixtures/files.py index f5151447..1a4f812a 100644 --- a/e2e/tests/fixtures/files.py +++ b/e2e/tests/fixtures/files.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/fixtures/hub.py b/e2e/tests/fixtures/hub.py index d500dcad..23e23fc4 100644 --- a/e2e/tests/fixtures/hub.py +++ b/e2e/tests/fixtures/hub.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/test_10_healthcheck.py b/e2e/tests/test_10_healthcheck.py index ffbe1e8f..a7425e0e 100644 --- a/e2e/tests/test_10_healthcheck.py +++ b/e2e/tests/test_10_healthcheck.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/test_30_auth.py b/e2e/tests/test_30_auth.py index 1eea6f47..a7755c68 100644 --- a/e2e/tests/test_30_auth.py +++ b/e2e/tests/test_30_auth.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/test_40_splits.py b/e2e/tests/test_40_splits.py index 06bc68d3..fe8cea99 100644 --- a/e2e/tests/test_40_splits.py +++ b/e2e/tests/test_40_splits.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/test_50_first_rows.py b/e2e/tests/test_50_first_rows.py index acac97cd..8780d2db 100644 --- a/e2e/tests/test_50_first_rows.py +++ b/e2e/tests/test_50_first_rows.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/test_80_valid.py b/e2e/tests/test_80_valid.py index b5e69662..2d8a1f9b 100644 --- a/e2e/tests/test_80_valid.py +++ b/e2e/tests/test_80_valid.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/test_90_is_valid.py b/e2e/tests/test_90_is_valid.py index e5df7801..a1c42a67 100644 --- a/e2e/tests/test_90_is_valid.py +++ b/e2e/tests/test_90_is_valid.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py index 846c2587..119528bf 100644 --- a/e2e/tests/utils.py +++ b/e2e/tests/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index 5da3f05a..b1dfe670 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5,0 +6 @@ version = "0.2.1" +license = "Apache-2.0" diff --git a/libs/libcache/src/libcache/__init__.py b/libs/libcache/src/libcache/__init__.py index e69de29b..1e9d0c5a 100644 --- a/libs/libcache/src/libcache/__init__.py +++ b/libs/libcache/src/libcache/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/libs/libcache/src/libcache/asset.py b/libs/libcache/src/libcache/asset.py index 99480537..73b0f1bc 100644 --- a/libs/libcache/src/libcache/asset.py +++ b/libs/libcache/src/libcache/asset.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 4d6b8ec6..3a24a80a 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libcache/tests/__init__.py b/libs/libcache/tests/__init__.py index e69de29b..1e9d0c5a 100644 --- a/libs/libcache/tests/__init__.py +++ b/libs/libcache/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/libs/libcache/tests/_utils.py b/libs/libcache/tests/_utils.py index 8e973b35..1dafee6d 100644 --- a/libs/libcache/tests/_utils.py +++ b/libs/libcache/tests/_utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index b757197a..78a6e5f8 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml index f3b975f8..997e967e 100644 --- a/libs/libqueue/pyproject.toml +++ b/libs/libqueue/pyproject.toml @@ -5,0 +6 @@ version = "0.2.0" +license = "Apache-2.0" diff --git a/libs/libqueue/src/libqueue/__init__.py b/libs/libqueue/src/libqueue/__init__.py index e69de29b..1e9d0c5a 100644 --- a/libs/libqueue/src/libqueue/__init__.py +++ b/libs/libqueue/src/libqueue/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py index 415b8b13..58752370 100644 --- a/libs/libqueue/src/libqueue/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libqueue/tests/__init__.py b/libs/libqueue/tests/__init__.py index e69de29b..1e9d0c5a 100644 --- a/libs/libqueue/tests/__init__.py +++ b/libs/libqueue/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/libs/libqueue/tests/_utils.py b/libs/libqueue/tests/_utils.py index 38dbfec7..7b725f1b 100644 --- a/libs/libqueue/tests/_utils.py +++ b/libs/libqueue/tests/_utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libqueue/tests/test_queue.py b/libs/libqueue/tests/test_queue.py index 70fc0660..5d58f89e 100644 --- a/libs/libqueue/tests/test_queue.py +++ b/libs/libqueue/tests/test_queue.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libutils/pyproject.toml b/libs/libutils/pyproject.toml index f26e0f96..6d4ac70b 100644 --- a/libs/libutils/pyproject.toml +++ b/libs/libutils/pyproject.toml @@ -5,0 +6 @@ version = "0.2.0" +license = "Apache-2.0" diff --git a/libs/libutils/src/libutils/__init__.py b/libs/libutils/src/libutils/__init__.py index e69de29b..1e9d0c5a 100644 --- a/libs/libutils/src/libutils/__init__.py +++ b/libs/libutils/src/libutils/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/libs/libutils/src/libutils/exceptions.py b/libs/libutils/src/libutils/exceptions.py index b83b48da..c2db778d 100644 --- a/libs/libutils/src/libutils/exceptions.py +++ b/libs/libutils/src/libutils/exceptions.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libutils/src/libutils/logger.py b/libs/libutils/src/libutils/logger.py index 73e63a8f..3e406028 100644 --- a/libs/libutils/src/libutils/logger.py +++ b/libs/libutils/src/libutils/logger.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libutils/src/libutils/utils.py b/libs/libutils/src/libutils/utils.py index 1d6ab598..d78993de 100644 --- a/libs/libutils/src/libutils/utils.py +++ b/libs/libutils/src/libutils/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/libs/libutils/tests/__init__.py b/libs/libutils/tests/__init__.py index e69de29b..1e9d0c5a 100644 --- a/libs/libutils/tests/__init__.py +++ b/libs/libutils/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/libs/libutils/tests/test_utils.py b/libs/libutils/tests/test_utils.py index 3bd02aa6..8f1b5e76 100644 --- a/libs/libutils/tests/test_utils.py +++ b/libs/libutils/tests/test_utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 8c4945a2..0c2b27bf 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -5,0 +6 @@ version = "0.1.2" +license = "Apache-2.0" diff --git a/services/admin/src/admin/__init__.py b/services/admin/src/admin/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/admin/src/admin/__init__.py +++ b/services/admin/src/admin/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index 0ad340b3..333e2063 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/authentication.py b/services/admin/src/admin/authentication.py index 01b9914f..48b685aa 100644 --- a/services/admin/src/admin/authentication.py +++ b/services/admin/src/admin/authentication.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/config.py b/services/admin/src/admin/config.py index ede14c11..8c2d5037 100644 --- a/services/admin/src/admin/config.py +++ b/services/admin/src/admin/config.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/constants.py b/services/admin/src/admin/constants.py index efe7377e..a04f0945 100644 --- a/services/admin/src/admin/constants.py +++ b/services/admin/src/admin/constants.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/main.py b/services/admin/src/admin/main.py index 6244cb28..e4842925 100644 --- a/services/admin/src/admin/main.py +++ b/services/admin/src/admin/main.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py index ead8b030..d2f60a04 100644 --- a/services/admin/src/admin/prometheus.py +++ b/services/admin/src/admin/prometheus.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/routes/__init__.py b/services/admin/src/admin/routes/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/admin/src/admin/routes/__init__.py +++ b/services/admin/src/admin/routes/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/admin/src/admin/routes/cache_reports.py b/services/admin/src/admin/routes/cache_reports.py index 6de4406a..3a5e2ead 100644 --- a/services/admin/src/admin/routes/cache_reports.py +++ b/services/admin/src/admin/routes/cache_reports.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/routes/healthcheck.py b/services/admin/src/admin/routes/healthcheck.py index 636207c7..5ea61a2c 100644 --- a/services/admin/src/admin/routes/healthcheck.py +++ b/services/admin/src/admin/routes/healthcheck.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/routes/pending_jobs.py b/services/admin/src/admin/routes/pending_jobs.py index c2837e3c..070705ad 100644 --- a/services/admin/src/admin/routes/pending_jobs.py +++ b/services/admin/src/admin/routes/pending_jobs.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/scripts/__init__.py b/services/admin/src/admin/scripts/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/admin/src/admin/scripts/__init__.py +++ b/services/admin/src/admin/scripts/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/admin/src/admin/scripts/cancel_jobs_first_rows.py b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py index 0036927a..e28b372a 100644 --- a/services/admin/src/admin/scripts/cancel_jobs_first_rows.py +++ b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/scripts/cancel_jobs_splits.py b/services/admin/src/admin/scripts/cancel_jobs_splits.py index 7cf68777..85781bbc 100644 --- a/services/admin/src/admin/scripts/cancel_jobs_splits.py +++ b/services/admin/src/admin/scripts/cancel_jobs_splits.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index 891f4198..c54991f4 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py index 1d0ffcb1..3548236b 100644 --- a/services/admin/src/admin/scripts/refresh_cache_canonical.py +++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/scripts/refresh_cache_errors.py b/services/admin/src/admin/scripts/refresh_cache_errors.py index e4be08b3..5ababb59 100644 --- a/services/admin/src/admin/scripts/refresh_cache_errors.py +++ b/services/admin/src/admin/scripts/refresh_cache_errors.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/src/admin/utils.py b/services/admin/src/admin/utils.py index cc5fee89..945c038c 100644 --- a/services/admin/src/admin/utils.py +++ b/services/admin/src/admin/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/tests/__init__.py b/services/admin/tests/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/admin/tests/__init__.py +++ b/services/admin/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/admin/tests/conftest.py b/services/admin/tests/conftest.py index 88142e18..7cb3ac81 100644 --- a/services/admin/tests/conftest.py +++ b/services/admin/tests/conftest.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/tests/fixtures/__init__.py b/services/admin/tests/fixtures/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/admin/tests/fixtures/__init__.py +++ b/services/admin/tests/fixtures/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/admin/tests/fixtures/hub.py b/services/admin/tests/fixtures/hub.py index f6563e85..ad2771e9 100644 --- a/services/admin/tests/fixtures/hub.py +++ b/services/admin/tests/fixtures/hub.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/tests/scripts/__init__.py b/services/admin/tests/scripts/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/admin/tests/scripts/__init__.py +++ b/services/admin/tests/scripts/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py index 75737eda..088e06b5 100644 --- a/services/admin/tests/scripts/test_refresh_cache_canonical.py +++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 0b3489b4..70e47de1 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/tests/test_authentication.py b/services/admin/tests/test_authentication.py index 13351074..d4cb710d 100644 --- a/services/admin/tests/test_authentication.py +++ b/services/admin/tests/test_authentication.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/admin/tests/utils.py b/services/admin/tests/utils.py index 332729f9..0b875c1a 100644 --- a/services/admin/tests/utils.py +++ b/services/admin/tests/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index f82e49d1..aa31046b 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -5,0 +6 @@ version = "0.1.3" +license = "Apache-2.0" diff --git a/services/api/src/api/__init__.py b/services/api/src/api/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/api/src/api/__init__.py +++ b/services/api/src/api/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 466fcc2f..4815c7e9 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/authentication.py b/services/api/src/api/authentication.py index 346dadae..7e0f4ed2 100644 --- a/services/api/src/api/authentication.py +++ b/services/api/src/api/authentication.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py index 68895b6d..8e5efbc7 100644 --- a/services/api/src/api/config.py +++ b/services/api/src/api/config.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py index 3ca9ddfb..3f749c27 100644 --- a/services/api/src/api/constants.py +++ b/services/api/src/api/constants.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/main.py b/services/api/src/api/main.py index 3c9212e2..af5dbd5d 100644 --- a/services/api/src/api/main.py +++ b/services/api/src/api/main.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/prometheus.py b/services/api/src/api/prometheus.py index 8de107e8..2c2b4ee4 100644 --- a/services/api/src/api/prometheus.py +++ b/services/api/src/api/prometheus.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/routes/__init__.py b/services/api/src/api/routes/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/api/src/api/routes/__init__.py +++ b/services/api/src/api/routes/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/api/src/api/routes/first_rows.py b/services/api/src/api/routes/first_rows.py index b13497d3..b750f042 100644 --- a/services/api/src/api/routes/first_rows.py +++ b/services/api/src/api/routes/first_rows.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/routes/healthcheck.py b/services/api/src/api/routes/healthcheck.py index 636207c7..5ea61a2c 100644 --- a/services/api/src/api/routes/healthcheck.py +++ b/services/api/src/api/routes/healthcheck.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/routes/splits.py b/services/api/src/api/routes/splits.py index 5043dfce..aac9e918 100644 --- a/services/api/src/api/routes/splits.py +++ b/services/api/src/api/routes/splits.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/routes/valid.py b/services/api/src/api/routes/valid.py index 061faea3..d64e0a41 100644 --- a/services/api/src/api/routes/valid.py +++ b/services/api/src/api/routes/valid.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py index 3ffe90c2..fbd2c448 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py index 5756b50c..858d60b7 100644 --- a/services/api/src/api/utils.py +++ b/services/api/src/api/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/tests/__init__.py b/services/api/tests/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/api/tests/__init__.py +++ b/services/api/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py index 21398c4e..a8392cd6 100644 --- a/services/api/tests/conftest.py +++ b/services/api/tests/conftest.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 7e0f78fd..565fa36c 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/tests/test_authentication.py b/services/api/tests/test_authentication.py index 89feab17..48bc15e2 100644 --- a/services/api/tests/test_authentication.py +++ b/services/api/tests/test_authentication.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/api/tests/utils.py b/services/api/tests/utils.py index 2d42c8ca..c23582fa 100644 --- a/services/api/tests/utils.py +++ b/services/api/tests/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index d2937392..0da84d44 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -5,0 +6 @@ version = "0.1.1" +license = "Apache-2.0" diff --git a/services/worker/src/worker/__init__.py b/services/worker/src/worker/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/worker/src/worker/__init__.py +++ b/services/worker/src/worker/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/worker/src/worker/asset.py b/services/worker/src/worker/asset.py index 46691263..008d5066 100644 --- a/services/worker/src/worker/asset.py +++ b/services/worker/src/worker/asset.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py index 6902de04..b0b74a62 100644 --- a/services/worker/src/worker/config.py +++ b/services/worker/src/worker/config.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/constants.py b/services/worker/src/worker/constants.py index 3bd7d2de..3fd2224a 100644 --- a/services/worker/src/worker/constants.py +++ b/services/worker/src/worker/constants.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py index 9101ae4f..4c8fdaf6 100644 --- a/services/worker/src/worker/features.py +++ b/services/worker/src/worker/features.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index db3b7adc..6c949025 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py index 722a07a2..d713415f 100644 --- a/services/worker/src/worker/refresh.py +++ b/services/worker/src/worker/refresh.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/responses/__init__.py b/services/worker/src/worker/responses/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/worker/src/worker/responses/__init__.py +++ b/services/worker/src/worker/responses/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index 566d2e3c..7c2bb200 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py index 1fb2e49f..aa351ae7 100644 --- a/services/worker/src/worker/responses/splits.py +++ b/services/worker/src/worker/responses/splits.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py index 64bbaa44..8e7f3012 100644 --- a/services/worker/src/worker/utils.py +++ b/services/worker/src/worker/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/__init__.py b/services/worker/tests/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/worker/tests/__init__.py +++ b/services/worker/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py index 8ec65149..5010cf61 100644 --- a/services/worker/tests/conftest.py +++ b/services/worker/tests/conftest.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/fixtures/__init__.py b/services/worker/tests/fixtures/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/worker/tests/fixtures/__init__.py +++ b/services/worker/tests/fixtures/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py index d2c42173..a88805a7 100644 --- a/services/worker/tests/fixtures/datasets.py +++ b/services/worker/tests/fixtures/datasets.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/fixtures/files.py b/services/worker/tests/fixtures/files.py index 97a6b2e3..4a2dd290 100644 --- a/services/worker/tests/fixtures/files.py +++ b/services/worker/tests/fixtures/files.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index 0ea7ef08..6c8daedd 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/responses/__init__.py b/services/worker/tests/responses/__init__.py index e69de29b..1e9d0c5a 100644 --- a/services/worker/tests/responses/__init__.py +++ b/services/worker/tests/responses/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index 5d4095fc..cddd4014 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py index d5381a58..58dc6dda 100644 --- a/services/worker/tests/responses/test_splits.py +++ b/services/worker/tests/responses/test_splits.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py index c5974281..3e4f04be 100644 --- a/services/worker/tests/test_features.py +++ b/services/worker/tests/test_features.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/test_main.py b/services/worker/tests/test_main.py index 47435ab1..f36d90f5 100644 --- a/services/worker/tests/test_main.py +++ b/services/worker/tests/test_main.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py index 651216e5..61fa8350 100644 --- a/services/worker/tests/test_refresh.py +++ b/services/worker/tests/test_refresh.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/services/worker/tests/utils.py b/services/worker/tests/utils.py index 1b0db32c..2b61cc27 100644 --- a/services/worker/tests/utils.py +++ b/services/worker/tests/utils.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + diff --git a/tools/stale.py b/tools/stale.py index 2d078829..8c791c9a 100644 --- a/tools/stale.py +++ b/tools/stale.py @@ -1,13 +1,4 @@ -# Copyright 2021 The HuggingFace Team, the AllenNLP library authors. All rights reserved. -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors, the AllenNLP library authors. +# All rights reserved. +
f47fbcb5b801d16a6d212720cf8923db4045b163
Sylvain Lesage
2022-09-20T09:17:38
feat: 🎸 remove support for .env files (#572)
diff --git a/services/admin/.env.example b/services/admin/.env.example deleted file mode 100644 index d8b7ee7b..00000000 --- a/services/admin/.env.example +++ /dev/null @@ -1,38 +0,0 @@ -# Application hostname -# APP_HOSTNAME="localhost" - -# Number of uvicorn workers to run the application -# APP_NUM_WORKERS = 2 - -# Application port -# APP_PORT=8000 - -# Assets directory -# ASSETS_DIRECTORY= - -# Number of reports in /cache-reports/... endpoints -# CACHE_REPORTS_NUM_RESULTS=100 - -# URL of the HuggingFace Hub -# HF_ENDPOINT="https://huggingface.co" - -# HF organization -# HF_ORGANIZATION= - -# External authentication path. -# HF_WHOAMI_PATH= - -# Log level -# LOG_LEVEL = "INFO" - -# Number of seconds to set in the `max-age` header on technical endpoints -# MAX_AGE_SHORT_SECONDS=10 - -# Name of the mongo db database used to cache the datasets -# MONGO_CACHE_DATABASE="datasets_server_cache" - -# Name of the mongo db database used to store the jobs queue -# MONGO_QUEUE_DATABASE="datasets_server_queue" - -# URL to connect to mongo db -# MONGO_URL="mongodb://localhost:27017" diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 132a8086..563897c2 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -563,11 +562,0 @@ testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtuale -[[package]] -name = "python-dotenv" -version = "0.20.0" -description = "Read key-value pairs from a .env file and set them as environment variables" -category = "main" -optional = false -python-versions = ">=3.5" - -[package.extras] -cli = ["click (>=5.0)"] - @@ -809 +798 @@ python-versions = "3.9.6" -content-hash = "a9d3b494f4ded5954a1b9af409722aecefbe057daea737912c951a605491729e" +content-hash = "cf09e082676bb258b556347289a0d3fa7d0d629879107d3deaf82de0bd10a7d1" @@ -1206,4 +1194,0 @@ pytest-cov = [ -python-dotenv = [ - {file = "python-dotenv-0.20.0.tar.gz", hash = "sha256:b7e3b04a59693c42c36f9ab1cc2acc46fa5df8c78e178fc33a8d4cd05c8d498f"}, - {file = "python_dotenv-0.20.0-py3-none-any.whl", hash = "sha256:d92a187be61fe482e4fd675b6d52200e7be63a12b724abbf931a40ce4fa92938"}, -] diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index c244b579..8c4945a2 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -13 +12,0 @@ python = "3.9.6" -python-dotenv = "^0.20.0" diff --git a/services/admin/src/admin/config.py b/services/admin/src/admin/config.py index 39951026..ede14c11 100644 --- a/services/admin/src/admin/config.py +++ b/services/admin/src/admin/config.py @@ -3 +2,0 @@ import os -from dotenv import load_dotenv @@ -22,3 +20,0 @@ from admin.constants import ( -# Load environment variables defined in .env, if any -load_dotenv() - diff --git a/services/api/.env.example b/services/api/.env.example deleted file mode 100644 index fa687469..00000000 --- a/services/api/.env.example +++ /dev/null @@ -1,38 +0,0 @@ -# Application hostname -# APP_HOSTNAME="localhost" - -# Number of uvicorn workers to run the application -# APP_NUM_WORKERS = 2 - -# Application port -# APP_PORT=8000 - -# Assets directory -# ASSETS_DIRECTORY= - -# External authentication path. -# %s will be replaced with the dataset name -# The external authentication service must return 200, 401, 403 or 404. -# HF_AUTH_PATH="/api/datasets/%s/auth-check" - -# URL of the HuggingFace Hub -# HF_ENDPOINT="https://huggingface.co" - -# Log level -# LOG_LEVEL = "INFO" - -# Number of seconds to set in the `max-age` header on data endpoints -# MAX_AGE_LONG_SECONDS=120 - -# Number of seconds to set in the `max-age` header on technical endpoints -# MAX_AGE_SHORT_SECONDS=10 - -# Name of the mongo db database used to cache the datasets -# MONGO_CACHE_DATABASE="datasets_server_cache" - -# Name of the mongo db database used to store the jobs queue -# MONGO_QUEUE_DATABASE="datasets_server_queue" - -# URL to connect to mongo db -# MONGO_URL="mongodb://localhost:27017" - diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 3d2e4baf..30c29709 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -526,11 +525,0 @@ testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtuale -[[package]] -name = "python-dotenv" -version = "0.20.0" -description = "Read key-value pairs from a .env file and set them as environment variables" -category = "main" -optional = false -python-versions = ">=3.5" - -[package.extras] -cli = ["click (>=5.0)"] - @@ -755 +744 @@ python-versions = "3.9.6" -content-hash = "d88b08cf0c40e48da4fde1677962742767640fa5195c013031811ae0e3861439" +content-hash = "972c7d6f5c61a411052028a6e328d28ec6fddcaa8e172b3a8c3cc9a93ce93645" @@ -1147,4 +1135,0 @@ pytest-cov = [ -python-dotenv = [ - {file = "python-dotenv-0.20.0.tar.gz", hash = "sha256:b7e3b04a59693c42c36f9ab1cc2acc46fa5df8c78e178fc33a8d4cd05c8d498f"}, - {file = "python_dotenv-0.20.0-py3-none-any.whl", hash = "sha256:d92a187be61fe482e4fd675b6d52200e7be63a12b724abbf931a40ce4fa92938"}, -] diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 4009d0be..f82e49d1 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -12 +11,0 @@ python = "3.9.6" -python-dotenv = "^0.20.0" diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py index 8d0b6c1e..68895b6d 100644 --- a/services/api/src/api/config.py +++ b/services/api/src/api/config.py @@ -3 +2,0 @@ import os -from dotenv import load_dotenv @@ -21,3 +19,0 @@ from api.constants import ( -# Load environment variables defined in .env, if any -load_dotenv() - diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index e3dbde9a..7f3ab4e3 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -1530,11 +1529,0 @@ six = ">=1.5" -[[package]] -name = "python-dotenv" -version = "0.20.0" -description = "Read key-value pairs from a .env file and set them as environment variables" -category = "main" -optional = false -python-versions = ">=3.5" - -[package.extras] -cli = ["click (>=5.0)"] - @@ -2247 +2236 @@ python-versions = "3.9.6" -content-hash = "49b735a1550c83635f59e35b58c0e189474050353042b30c4bd512cc7e0e3ca8" +content-hash = "de32221d3e970c55655a9cddb02878b7b6db669a1c43ef7670eaae6537597f8f" @@ -3810,4 +3798,0 @@ python-dateutil = [ -python-dotenv = [ - {file = "python-dotenv-0.20.0.tar.gz", hash = "sha256:b7e3b04a59693c42c36f9ab1cc2acc46fa5df8c78e178fc33a8d4cd05c8d498f"}, - {file = "python_dotenv-0.20.0-py3-none-any.whl", hash = "sha256:d92a187be61fe482e4fd675b6d52200e7be63a12b724abbf931a40ce4fa92938"}, -] diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index ac9000de..d2937392 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -30 +29,0 @@ python = "3.9.6" -python-dotenv = "^0.20.0" diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py index 60a25197..6902de04 100644 --- a/services/worker/src/worker/config.py +++ b/services/worker/src/worker/config.py @@ -5 +4,0 @@ from datasets.utils.logging import log_levels, set_verbosity -from dotenv import load_dotenv @@ -31,3 +29,0 @@ from worker.constants import ( -# Load environment variables defined in .env, if any -load_dotenv() -
f28e5c92c51631fe20c3a84a7eaddbc7c50ba25e
Sylvain Lesage
2022-09-19T22:20:35
refactor: 💡 remove unused value (#574)
diff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py index c33ee8f0..5756b50c 100644 --- a/services/api/src/api/utils.py +++ b/services/api/src/api/utils.py @@ -20 +19,0 @@ ApiErrorCode = Literal[ - "ExternalAuthCheckResponseError",
a99048ea05ab48409e2b52b6fa754ead1446b41d
Sylvain Lesage
2022-09-19T21:33:06
chore: 🤖 add an issue template (#573)
diff --git a/.github/ISSUE_TEMPLATE/hub-dataset-viewer.yml b/.github/ISSUE_TEMPLATE/hub-dataset-viewer.yml new file mode 100644 index 00000000..fb48b3ce --- /dev/null +++ b/.github/ISSUE_TEMPLATE/hub-dataset-viewer.yml @@ -0,0 +1,19 @@ +name: Dataset Viewer Issue +description: Issue related to the Dataset Viewer on the Hub +title: "Dataset Viewer issue for [dataset name]" +labels: ["bug"] +assignees: + - severo +body: + - type: input + id: url + attributes: + label: Link + description: Link to the dataset page + placeholder: ex. https://huggingface.co/datasets/glue + - type: textarea + id: description + attributes: + label: Description + description: Short description of the issue + placeholder: Tell us what the issue is and which error you get. You can copy/paste the error or upload a screenshot.
7651e115d04f7e3af105dbbbd07dcebde5e294cf
Sylvain Lesage
2022-09-19T16:43:04
docs: ✏️ update and simplify the README/INSTALL/CONTRIBUTING doc (#570)
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index c3a2e6b7..e6b29419 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -4,0 +5,2 @@ The repository is structured as a monorepo, with Python applications in [service +If you have access to the internal HF notion, see https://www.notion.so/huggingface2/Datasets-server-464848da2a984e999c540a4aa7f0ece5. + @@ -14 +16,23 @@ cd datasets-server -then install: +Install docker (see https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository and https://docs.docker.com/engine/install/linux-postinstall/) + +``` +make install +make start-from-local-code +``` + +To use the docker images already compiled using the CI: + +``` +make start-from-remote-images +``` + +Note that you must login to AWS to be able to download the docker images: + +``` +aws ecr get-login-password --region us-east-1 --profile=hub-prod \ + | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com +``` + +To install a single library (in [libs](./libs)) or service (in [services](./services)), install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). + +If you use pyenv: @@ -16,6 +40,14 @@ then install: -- [libs/libcache](./libs/libcache/INSTALL.md) -- [libs/libqueue](./libs/libcache/INSTALL.md) -- [libs/libutils](./libs/libutils/INSTALL.md) -- [services/admin](./services/admin/INSTALL.md) -- [services/api](./services/api/INSTALL.md) -- [services/worker](./services/worker/INSTALL.md) +```bash +cd libs/libutils/ +pyenv install 3.9.6 +pyenv local 3.9.6 +poetry env use python3.9 +``` + +then: + +``` +make install +``` + +It will create a virtual environment in a `./.venv/` subdirectory. @@ -47,5 +79 @@ make test -Note that it requires the resources to be ready, ie. mongo and the storage for assets. See [INSTALL.md](./INSTALL.md). - -## Poetry - -### Hack: reference through the root +Note that it requires the resources to be ready, ie. mongo and the storage for assets. @@ -53 +81 @@ Note that it requires the resources to be ready, ie. mongo and the storage for a -The structure is a monorepo, and the dependencies to the libraries are local (see the poetry doc on [`path` dependencies](https://python-poetry.org/docs/dependency-specification/#path-dependencies], note that we set `develop=true`). To have this work as expected, we have to use a little trick: to refer to all the libraries going down to the root, then going to the library directory. For example, to declare `libutils` as a dependency of `libcache`, even if they are in the same directory, we use `../../libs/libutils`: +To launch the end to end tests: @@ -55,2 +83,2 @@ The structure is a monorepo, and the dependencies to the libraries are local (se -```toml -libutils = { path = "../../libs/libutils", develop = true } +```bash +make e2e @@ -59,7 +87 @@ libutils = { path = "../../libs/libutils", develop = true } -Otherwise, if we only used `../libutils`, the dependencies would break in the `poetry.lock` file of the services that depend on `libcache` for example. Possibly it's a bug in poetry. - -### Lock - -Poetry keeps the exact version of all the dependencies in `poetry.lock`. If you manually change `pyproject.toml`, you will have to call `poetry lock` (or `make lock`) to update `poetry.lock`. Beware: it might also upgrade the dependencies (use [`--no-update`](https://python-poetry.org/docs/cli/#options-9) if you want to avoid this). - -If you update the dependencies of a library, you will have to run `poetry lock` (or `make lock`) in every library or service that depend on it. Beware, refreshing the lock on [services/worker](./services/worker) takes a lot of time. +## Poetry @@ -67 +89 @@ If you update the dependencies of a library, you will have to run `poetry lock` -In case you wonder, the `poetry.lock` files must be versioned. +### Versions @@ -69 +91 @@ In case you wonder, the `poetry.lock` files must be versioned. -## Versions +We version the [libraries](./libs) as they are dependencies of the [services](./services). To update a library: @@ -71 +93,3 @@ In case you wonder, the `poetry.lock` files must be versioned. -We don't change the version of the libraries and services in `pyproject.toml`, because they are local dependencies and access to the current files anyway. But before deploying to prod, we: +- change the version in its pyproject.yaml file +- build with `make build` +- version the new files in `dist/` @@ -73,2 +97 @@ We don't change the version of the libraries and services in `pyproject.toml`, b -- increment the version (that we increment accordingly to the change: major/minor/bugfix) in the `appVersion` parameter of the [Helm chart](./chart/Chart.yaml) -- create a git tag with the same version, for example: +And then update the library version in the services that require the update, for example if the library is `libcache`: @@ -76,4 +99,3 @@ We don't change the version of the libraries and services in `pyproject.toml`, b - ``` - git tag 0.20.2 - git push --tags - ``` +``` +poetry update libcache +``` @@ -81 +103 @@ We don't change the version of the libraries and services in `pyproject.toml`, b -- create a release at https://github.com/huggingface/datasets-server/releases/new, choosing a tag, then using the button "+ Auto-generate release notes". +If service is updated, we don't update its version in the `pyproject.yaml` file. But we have to update the [docker images file](./chart/docker-images.yaml) with the new image tag. Then the CI will test the new docker images, and we will be able to deploy them to the infrastructure. @@ -85 +107 @@ We don't change the version of the libraries and services in `pyproject.toml`, b -All the contributions should go through a pull request. The pull requests must be "squashed" (ie: one commit per pull request). Take care of the squash commit title and message, because it's what is included in the autogenerated release notes. +All the contributions should go through a pull request. The pull requests must be "squashed" (ie: one commit per pull request). diff --git a/INSTALL.md b/INSTALL.md deleted file mode 100644 index fedcf45a..00000000 --- a/INSTALL.md +++ /dev/null @@ -1,57 +0,0 @@ -# Install guide - -## Docker - -Install docker (see https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository and https://docs.docker.com/engine/install/linux-postinstall/) - -``` -make install -make start-from-local-code -``` - -To use the docker images already compiled using the CI: - -``` -make start-from-remote-images -``` - -## Without docker - -We assume a machine with Ubuntu. - -We need to prepare space on the disk for the assets, for example at `/data/assets`: - -``` -sudo mkdir -p /data/assets -sudo chown -R hf:www-data /data -sudo chmod -R 755 /data -``` - -We also need to have a mongo server: - -- install docker (see https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository and https://docs.docker.com/engine/install/linux-postinstall/) -- launch a docker container with mongo: - - ```bash - docker run -p 27017:27017 --name datasets-server-mongo -d --restart always mongo:latest - ``` - -Install and deploy the API server with [services/api/INSTALL.md](./services/api/INSTALL.md), the admin server with [services/admin/INSTALL.md](./services/admin/INSTALL.md) and the workers with [services/worker/INSTALL.md](./services/worker/INSTALL.md). - -## Upgrade - -See the instructions in [services/api/INSTALL.md](./services/api/INSTALL.md#upgrade) and [services/worker/INSTALL.md](./services/worker/INSTALL.md#upgrade). Also migrate the databases if needed (see the [libcache migrations README](./libs/libcache/migrations/README.md)). - -## Production - -datasets-server is installed on a [kubernetes cluster](https://us-east-1.console.aws.amazon.com/eks/home?region=us-east-1#/clusters) - -Grafana: - -- https://grafana.huggingface.tech/dashboards/f/j1kRCJEnk/hub?query=Datasets%20server -- https://grafana.huggingface.tech/d/a164a7f0339f99e89cea5cb47e9be617/kubernetes-compute-resources-workload?orgId=1&refresh=10s&var-datasource=Prometheus%20EKS%20Hub%20Prod&var-cluster=&var-namespace=datasets-server&var-type=deployment&var-workload=datasets-server-prod-worker-splits - -BetterUptime: - -- https://betteruptime.com/team/14149/monitors/389098 -- https://betteruptime.com/team/14149/monitors/691070 diff --git a/Makefile b/Makefile index dcc58aa2..3ee26da8 100644 --- a/Makefile +++ b/Makefile @@ -70,0 +71 @@ quality: + $(MAKE) -C e2e/ openapi diff --git a/README.md b/README.md index 99e2b94f..46abca5d 100644 --- a/README.md +++ b/README.md @@ -3 +3 @@ -> Stores the hub datasets, and provides an internal API to query their contents, metadata and basic statistics. +> Integrate into your apps over 10,000 datasets via simple HTTP requests, with pre-processed responses and scalability built-in. @@ -5 +5 @@ -For now, it just provides an API to get the first rows of the Hugging Face Hub datasets (previously known as `datasets-preview-backend`) +Documentation: https://huggingface.co/docs/datasets-server @@ -7 +7 @@ For now, it just provides an API to get the first rows of the Hugging Face Hub d -Caveat: only the [streamable datasets](https://huggingface.co/docs/datasets/stream) and the small datasets (less than 100MB) are supported at the moment. +## Install and development setup @@ -9,7 +9 @@ Caveat: only the [streamable datasets](https://huggingface.co/docs/datasets/stre -## Install - -To install, deploy, and manage the application in production, see [INSTALL.md](./INSTALL.md) - -## Dev setup - -To develop, see [CONTRIBUTING.md](./CONTRIBUTING.md) +To develop or deploy, see [CONTRIBUTING.md](./CONTRIBUTING.md) @@ -21 +15 @@ The application is distributed in several components. -([api](./services/api)) is an API web server that exposes [endpoints](./services/api/README.md#endpoints) to access the first rows of the Hugging Face Hub datasets. Some of the endpoints generate responses on the fly, but the two main endpoints (`/splits` and `/first-rows`) only serve precomputed responses, because generating these responses takes time. +[api](./services/api) is a web server that exposes the [API endpoints](https://huggingface.co/docs/datasets-server). Apart from some endpoints (`valid`, `is-valid`), all the responses are served from pre-computed responses. That's the main point of this project: generating these responses takes time, and the API server provides this service to the users. @@ -40,0 +35,5 @@ Hence, the working application has: +The application also has: + +- a reverse proxy in front of the API to serve static files and proxy the rest to the API server +- an admin server to serve technical endpoints + @@ -54,7 +53,7 @@ The Hugging Face Hub instance can be configured thanks to `HF_ENDPOINT`, so that -| Where | `HF_ENDPOINT` (api, worker) | `HF_TOKEN` (worker) | -| ----------------- | ----------------------------------------------------------------------- | ------------------------------------------------------------- | -| production | https://huggingface.co/ | Kubernetes secret | -| development | https://huggingface.co/ | Kubernetes secret | -| local docker | https://huggingface.co/. Override with `HF_ENDPOINT=... make start-...` | Enable the gated datasets with `HF_TOKEN=... make start-...` | -| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` | -| worker unit tests | https://huggingface.co/ | GitHub secret (CI). Run locally with `HF_TOKEN=... make test` | +| Where | `HF_ENDPOINT` (api, worker) | `HF_TOKEN` (worker) | +| ----------------- | ----------------------------------------------------------------------- | ------------------------------------------------------------ | +| production | https://huggingface.co/ | Kubernetes secret | +| development | https://huggingface.co/ | Kubernetes secret | +| local docker | https://huggingface.co/. Override with `HF_ENDPOINT=... make start-...` | Enable the gated datasets with `HF_TOKEN=... make start-...` | +| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` | +| worker unit tests | https://hub-ci.huggingface.co/ | Hard-coded: `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` | diff --git a/chart/README.md b/chart/README.md index 490bd757..6bab6158 100644 --- a/chart/README.md +++ b/chart/README.md @@ -5 +5 @@ The `datasets-server` Helm [chart](https://helm.sh/docs/topics/charts/) describe -See the [helm.md](../docs_to_notion/helm.md) for some documentation about Helm and the Charts. +If you have access to the internal HF notion, see https://www.notion.so/huggingface2/Infrastructure-b4fd07f015e04a84a41ec6472c8a0ff5. @@ -9,2 +9,2 @@ The cloud infrastructure for the datasets-server uses: -- Amazon ECR to store the docker images of the datasets-server services. See [docs/docker.md](../docs_to_notion/docker.md). -- Amazon EKS for the Kubernetes clusters. See [docs/kubernetes.md](../docs_to_notion/kubernetes.md). +- Amazon ECR to store the docker images of the datasets-server services. +- Amazon EKS for the Kubernetes clusters. @@ -14,2 +13,0 @@ Note that this Helm chart is used to manage the deployment of the `datasets-serv -You might also be interested in reading the doc for [moon-landing](https://github.com/huggingface/moon-landing/blob/main/infra/hub/README.md). - @@ -20,5 +18,3 @@ To deploy to the `hub-ephemeral` Kubernetes cluster, ensure to first: -- install the [tools](../docs_to_notion/tools.md) -- [authenticate with AWS](../docs_to_notion/authentication.md) -- [select the `hub-ephemeral` cluster](../docs_to_notion/kubernetes.md#cluster) - -Set the SHA of the last commit in [values.yaml](./values.yaml). It allows to select the adequate docker images in the ECR repositories (see the last build images at https://github.com/huggingface/datasets-server/actions/workflows/docker.yml). +- install the tools (aws, kubectl, helm) +- authenticate with AWS +- select the `hub-ephemeral` cluster diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index dd62f17e..6dda8ad0 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -0,0 +1,15 @@ +## Production +# +# datasets-server is installed on a [kubernetes cluster](https://us-east-1.console.aws.amazon.com/eks/home?region=us-east-1#/clusters) +# +# Grafana: +# +# - https://grafana.huggingface.tech/d/SaHl2KX7z/datasets-server-admin-cache-and-queue +# - https://grafana.huggingface.tech/d/iPuzZbrnk/datasets-server-api-routes +# - https://grafana.huggingface.tech/d/85a562078cdf77779eaa1add43ccec1e/kubernetes-compute-resources-namespace-pods?var-datasource=Prometheus%20EKS%20Hub%20Prod&var-namespace=datasets-server +# +# BetterUptime: +# +# - https://betteruptime.com/team/14149/monitors/389098 +# - https://betteruptime.com/team/14149/monitors/691070 +# diff --git a/e2e/INSTALL.md b/e2e/INSTALL.md deleted file mode 100644 index 652923fb..00000000 --- a/e2e/INSTALL.md +++ /dev/null @@ -1,20 +0,0 @@ -# Install guide - -Install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). - -If you use pyenv: - -```bash -cd e2e/ -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` - -then: - -``` -make install -``` - -It will create a virtual environment in a `./.venv/` subdirectory. diff --git a/e2e/README.md b/e2e/README.md index af861702..ef033423 100644 --- a/e2e/README.md +++ b/e2e/README.md @@ -4,15 +3,0 @@ End to end tests, written in Python - -Install (see [INSTALL.md](./INSTALL.md)) - -You must also login to AWS to be able to download the docker images: - -``` -aws ecr get-login-password --region us-east-1 --profile=hub-prod \ - | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com -``` - -Then: - -``` -make e2e -``` diff --git a/libs/libcache/INSTALL.md b/libs/libcache/INSTALL.md deleted file mode 100644 index 66f42c28..00000000 --- a/libs/libcache/INSTALL.md +++ /dev/null @@ -1,20 +0,0 @@ -# Install guide - -Install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). - -If you use pyenv: - -```bash -cd libs/libcache/ -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` - -then: - -``` -make install -``` - -It will create a virtual environment in a `./.venv/` subdirectory. diff --git a/libs/libqueue/INSTALL.md b/libs/libqueue/INSTALL.md deleted file mode 100644 index 2bdda8a8..00000000 --- a/libs/libqueue/INSTALL.md +++ /dev/null @@ -1,20 +0,0 @@ -# Install guide - -Install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). - -If you use pyenv: - -```bash -cd libs/libqueue/ -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` - -then: - -``` -make install -``` - -It will create a virtual environment in a `./.venv/` subdirectory. diff --git a/libs/libutils/INSTALL.md b/libs/libutils/INSTALL.md deleted file mode 100644 index 42b4573a..00000000 --- a/libs/libutils/INSTALL.md +++ /dev/null @@ -1,20 +0,0 @@ -# Install guide - -Install Python 3.9 (consider [pyenv](https://github.com/pyenv/pyenv)) and [poetry]](https://python-poetry.org/docs/master/#installation) (don't forget to add `poetry` to the `PATH` environment variable). - -If you use pyenv: - -```bash -cd libs/libutils/ -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` - -then: - -``` -make install -``` - -It will create a virtual environment in a `./.venv/` subdirectory. diff --git a/libs/libutils/README.md b/libs/libutils/README.md index b1640cb5..f2710f48 100644 --- a/libs/libutils/README.md +++ b/libs/libutils/README.md @@ -3 +3 @@ -A Python library with common code used by the services: utils, logger, exceptions, types. +A Python library with common code (utils, logger, exceptions) used by the services. diff --git a/services/admin/INSTALL.md b/services/admin/INSTALL.md deleted file mode 100644 index c658572a..00000000 --- a/services/admin/INSTALL.md +++ /dev/null @@ -1,47 +0,0 @@ -# Install guide - -Follow the [general INSTALL](../INSTALL.md) to be sure to setup the assets directory and the databases. - -## Requirements - -The requirements are: - -- Python 3.9.6+ (consider [pyenv](https://github.com/pyenv/pyenv)) -- Poetry 1.1.7+ -- make - -We assume a machine running Ubuntu. Install packages: - -```bash -sudo apt install python-is-python3 make -``` - -Also install node and npm (with [nvm](https://github.com/nvm-sh/nvm)), then: - -```bash -npm i -g pm2@latest -``` - -Also [install poetry](https://python-poetry.org/docs/master/#installation). Don't forget to add `poetry` to the `PATH` environment variable. - -## Install and configure - -Install the API service: - -```bash -cd -# See https://github.blog/2013-09-03-two-factor-authentication/#how-does-it-work-for-command-line-git for authentication -git clone https://github.com/huggingface/datasets-server.git -cd datasets-server/services/admin -make install -``` - -Copy and edit the environment variables file: - -```bash -cd datasets-server/services/admin -cp .env.example .env -vi .env -``` - -Note that we assume `ASSETS_DIRECTORY=/data` in the nginx configuration. If you set the assets directory to another place, or let the default, ensure the nginx configuration is setup accordingly. Beware: the default directory inside `/home/hf/.cache` is surely not readable by the nginx user. diff --git a/services/admin/README.md b/services/admin/README.md index 2b79b219..cfd0c42d 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -3 +3 @@ -> Admin scripts +> Admin scripts and endpoints @@ -5,11 +5 @@ -## Install - -See [INSTALL](./INSTALL.md#Install) - -## Run the scripts - -Launch the scripts with: - -```shell -make <SCRIPT> -``` +## Configuration @@ -31,3 +21 @@ Set environment variables to configure the following aspects: -To launch the scripts: - -- if the image runs in a docker container: +## Endpoints @@ -35,3 +23 @@ To launch the scripts: - ```shell - docker exec -it datasets-server_admin_1 make <SCRIPT> - ``` +The admin service provides endpoints: @@ -39 +25,4 @@ To launch the scripts: -- if the image runs in a kube pod: +- `/healthcheck` +- `/metrics`: gives info about the cache and the queue +- `/cache-reports`: give detailed reports on the content of the cache +- `/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) @@ -41,3 +30 @@ To launch the scripts: - ```shell - kubectl exec datasets-server-prod-admin-5cc8f8fcd7-k7jfc -- make <SCRIPT> - ``` +## Scripts @@ -53,59 +40 @@ The scripts: -## Run the API - -The admin service provides technical endpoints: - -- `/healthcheck` -- `/metrics`: gives info about the cache and the queue -- `/cache-reports`: give detailed reports on the content of the cache -- `/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) - -### /cache-reports - -> Give detailed reports on the content of the cache - -Example: https://datasets-server.huggingface.co/cache-reports - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which the dataset cache reports, with the following structure: - -```json -{ - "/splits": [{ "dataset": "sent_comp", "status": "200", "error": null }], - "/first-rows": [ - { - "dataset": "sent_comp", - "config": "default", - "split": "validation", - "status": "400", - "error": { - "message": "Cannot get the first rows for the split.", - "cause_exception": "FileNotFoundError", - } - }, - { - "dataset": "sent_comp", - "config": "default", - "split": "test", - "status": "500", - "error": { - "message": "Internal error.", - } - } - ] - }, - "created_at": "2022-01-20T14:40:27Z" -} -``` - -### /pending-jobs - -> Give the pending jobs, classed by queue and status (waiting or started) - -Example: https://datasets-server.huggingface.co/pending-jobs - -Method: `GET` +To launch the scripts: @@ -113 +42 @@ Method: `GET` -Parameters: none +- if the image runs in a docker container: @@ -115 +44,3 @@ Parameters: none -Responses: + ```shell + docker exec -it datasets-server_admin_1 make <SCRIPT> + ``` @@ -117 +48 @@ Responses: -- `200`: JSON content with the jobs by queue and status, with the following structure: +- if the image runs in a kube pod: @@ -119,13 +50,3 @@ Responses: -```json -{ - "/splits": { - "waiting": [], - "started": [] - }, - "/first-rows": { - "waiting": [], - "started": [] - }, - "created_at": "2022-01-20T13:59:03Z" -} -``` + ```shell + kubectl exec datasets-server-prod-admin-5cc8f8fcd7-k7jfc -- make <SCRIPT> + ``` diff --git a/services/api/INSTALL.md b/services/api/INSTALL.md deleted file mode 100644 index 1ab3b334..00000000 --- a/services/api/INSTALL.md +++ /dev/null @@ -1,196 +0,0 @@ -# Install guide - -Follow the [general INSTALL](../INSTALL.md) to be sure to setup the assets directory and the databases. - -## Requirements - -The requirements are: - -- node (for pm2) -- Python 3.9.6+ (consider [pyenv](https://github.com/pyenv/pyenv)) -- Poetry 1.1.7+ -- make -- nginx - -We assume a machine running Ubuntu. Install packages: - -```bash -sudo apt install python-is-python3 make nginx -``` - -Also install node and npm (with [nvm](https://github.com/nvm-sh/nvm)), then: - -```bash -npm i -g pm2@latest -``` - -Also [install poetry](https://python-poetry.org/docs/master/#installation). Don't forget to add `poetry` to the `PATH` environment variable. - -Configure nginx as a reverse-proxy to expose the application on the port 80: - -```bash -sudo unlink /etc/nginx/sites-enabled/default -sudo vi /etc/nginx/sites-available/reverse-proxy.conf -``` - -```bash -server { - listen 80; - listen [::]:80; - server_name datasets-server.huggingface.co; - - add_header 'Access-Control-Allow-Origin' '*' always; - - access_log /var/log/nginx/reverse-access.log; - error_log /var/log/nginx/reverse-error.log; - - # due to https://github.com/encode/starlette/issues/950, which generates errors in Safari: https://developer.apple.com/library/archive/documentation/AppleApplications/Reference/SafariWebContent/CreatingVideoforSafarioniPhone/CreatingVideoforSafarioniPhone.html#//apple_ref/doc/uid/TP40006514-SW6 - # we serve the static files from nginx instead of starlette - location /assets/ { - alias /data/assets/; - } - - proxy_cache_path /data/nginx/cache levels=1:2 keys_zone=STATIC:50m inactive=24h max_size=1g; - - location / { - proxy_pass http://localhost:8000/; - proxy_set_header Host $proxy_host; - proxy_set_header X-Real-IP $remote_addr; - proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; - proxy_set_header X-Forwarded-Proto $scheme; - proxy_http_version 1.1; - # cache all the HEAD+GET requests (without Set-Cookie) - # Cache-Control is used to determine the cache duration - # see https://www.nginx.com/blog/nginx-caching-guide/ - proxy_buffering on; - proxy_cache STATIC; - proxy_cache_use_stale error timeout invalid_header updating http_500 http_502 http_503 http_504; - proxy_cache_background_update on; - proxy_cache_lock on; - } -} -``` - -```bash -sudo mkdir -p /data/nginx/cache -sudo chmod -R a+x /data/nginx/cache -sudo ln -s /etc/nginx/sites-available/reverse-proxy.conf /etc/nginx/sites-enabled/reverse-proxy.conf -sudo nginx -t # Test -sudo systemctl reload nginx -``` - -[Install certbot](https://certbot.eff.org/lets-encrypt/ubuntufocal-nginx) with snap to manage the certificate for the domain name. Email: [email protected]. - -```bash -sudo certbot --nginx -``` - -## Install and configure - -Install the API service: - -```bash -cd -# See https://github.blog/2013-09-03-two-factor-authentication/#how-does-it-work-for-command-line-git for authentication -git clone https://github.com/huggingface/datasets-server.git -cd datasets-server/services/api -make install -``` - -Copy and edit the environment variables file: - -```bash -cd datasets-server/services/api -cp .env.example .env -vi .env -``` - -Note that we assume `ASSETS_DIRECTORY=/data` in the nginx configuration. If you set the assets directory to another place, or let the default, ensure the nginx configuration is setup accordingly. Beware: the default directory inside `/home/hf/.cache` is surely not readable by the nginx user. - -## Deploy - -Launch the API with pm2: - -```bash -pm2 start --name api make -- -C /home/hf/datasets-server/ run -``` - -Check if the api is accessible at https://datasets-server.huggingface.co/healthcheck. - -Finally, ensure that pm2 will restart on reboot (see https://pm2.keymetrics.io/docs/usage/startup/): - -- if it's the first time: - ```bash - pm2 startup - # and follow the instructions - ``` -- else: - ```bash - pm2 save - ``` - -## Manage - -Use [pm2](https://pm2.keymetrics.io/docs/usage/quick-start/#cheatsheet) to manage the service. - -```bash -pm2 list -pm2 logs api -``` - -## Upgrade - -To deploy a new version of datasets-server, first pause the monitor at https://betteruptime.com/team/14149/monitors/389098. - -Then update the code - -``` -cd /home/hf/datasets-server/ -git fetch --tags -git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-server/releases/latest) -``` - -If the Python version has been increased to 3.9.6, for example, [run](https://stackoverflow.com/a/65589331/7351594): - -``` -cd services/api -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` - -Install packages - -``` -make install -``` - -Check if new environment variables are available and edit the environment variables in `.env`: - -``` -cd services/api -diff .env.example .env -vi .env -``` - -Apply the database migrations (see [libs/libcache/src/libcache/migrations/README.md](./../../libs/libcache/migrations/README.md)) if any (in this case: ensure to upgrade the other services too). - -``` -# see https://github.com/huggingface/datasets-server/blob/main/libs/libcache/migrations/README.md -``` - -If you want to be extra-sure, check that all the tests are passing - -``` -make test -``` - -Restart - -``` -pm2 restart api -``` - -Check if the API is accessible at https://datasets-server.huggingface.co/healthcheck. - -Finally un-pause the monitor at https://betteruptime.com/team/14149/monitors/389098. diff --git a/services/api/README.md b/services/api/README.md index 46acfc47..2f26f795 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -5,11 +5 @@ -## Install - -See [INSTALL](./INSTALL.md#Install) - -## Run - -Launch with: - -```bash -make run -``` +## Configuration @@ -33,12 +22,0 @@ Set environment variables to configure the following aspects: -For example: - -```bash -APP_PORT=80 WEB_CONCURRENCY=4 make run -``` - -To reload the application on file changes while developing, run: - -```bash -make watch -``` - @@ -47,288 +25 @@ make watch -### /healthcheck - -> Ensure the app is running - -Example: https://datasets-server.huggingface.co/healthcheck - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: text content `ok` - -### /valid - -> Give the list of the valid datasets. Here, a dataset is considered valid if `/splits` returns a valid response, and if `/rows` returns a valid response for _at least one split_. Note that stale cache entries are considered valid. - -Example: https://datasets-server.huggingface.co/valid - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which gives the list of the datasets per status, with the following structure. - -```json -{ - "valid": ["discovery"], - "created_at": "2021-10-07T13:33:46Z" -} -``` - -### /is-valid - -> Tells if a dataset is valid. A dataset is considered valid if `/splits` returns a valid response, and if `/rows` returns a valid response for _at least one split_. Note that stale cache entries are considered valid. - -Example: https://datasets-server.huggingface.co/is-valid?dataset=glue - -Method: `GET` - -Parameters: - -- `dataset` (required): the dataset ID - -Responses: - -- `200`: JSON content which tells if the dataset is valid or not - -```json -{ - "valid": true -} -``` - -### /webhook - -> Adds, updates or removes a cache entry - -Example: https://datasets-server.huggingface.co/webhook - -Method: `POST` - -Body: - -```json -{ - "add": "datasets/dataset1", - "update": "datasets/dataset1", - "remove": "datasets/dataset1" -} -``` - -The three keys are optional, and moonlanding should send only one of them. The dataset identifiers are full names, ie. they must include the `datasets/` prefix, which means that a community dataset will have two slashes: `datasets/allenai/c4` for example. - -Responses: - -- `200`: JSON content with the following structure: - - ```json - { - "status": "ok" - } - ``` - -- `400`: the payload is erroneous, or a 400 error raised during the cache operation -- `500`: application error - -Note: if you want to refresh multiple datasets at a time, you have to call the endpoint again and again. You can use bash for example: - -```bash -MODELS=(amazon_polarity ami arabic_billion_words) -for model in ${MODELS[@]}; do curl -X POST https://datasets-server.huggingface.co/webhook -H 'Content-Type: application/json' -d '{"update": "datasets/'$model'"}'; done; -``` - -### /splits - -> Lists the [splits](https://huggingface.co/docs/datasets/splits.html) names for a dataset - -Example: https://datasets-server.huggingface.co/splits?dataset=glue - -Method: `GET` - -Parameters: - -- `dataset` (required): the dataset ID - -Responses: - -- `200`: JSON content with the following structure: - - ```json - { - "splits": [ - { - "dataset": "glue", - "config": "cola", - "split": "test", - "num_bytes": 217556, - "num_examples": 1821 - }, - { - "dataset": "glue", - "config": "cola", - "split": "train", - "num_bytes": 4715283, - "num_examples": 67349 - }, - { - "dataset": "glue", - "config": "cola", - "split": "validation", - "num_bytes": 106692, - "num_examples": 872 - } - ] - } - ``` - -- `400`: the dataset script is erroneous -- `404`: the dataset or config cannot be found, or it's not in the cache -- `500`: application error - -Note that the value of `"num_bytes"` and `"num_examples"` is set to `null` if the data is not available. - -### /rows - -> Extract the first [rows](https://huggingface.co/docs/datasets/splits.html) for a split of a dataset config - -Example: https://datasets-server.huggingface.co/rows?dataset=glue&config=ax&split=test - -Method: `GET` - -Parameters: - -- `dataset` (required): the dataset ID -- `config` (required): the configuration name -- `split` (required): the split name - -Responses: - -- `200`: JSON content that provides the types of the columns (see features at https://huggingface.co/docs/datasets/about_dataset_features.html) and the data rows, with the following structure. Note that the features are ordered and this order can be used to display the columns in a table for example. Binary values are transmitted in UTF-8 encoded base64 strings. The number of rows depends on `ROWS_MAX_BYTES`, `ROWS_MIN_NUMBER` and `ROWS_MAX_NUMBER`. Note that the content of a cell might be truncated to fit within the limits, in which case the `truncated_cells` array will contain the name of the cell (see the last element in the example), and the cell content will always be a string. - - ```json - { - "columns": [ - { - "dataset": "glue", - "config": "ax", - "split": "test", - "column_idx": 0, - "column": { "name": "premise", "type": "STRING" } - }, - { - "dataset": "glue", - "config": "ax", - "split": "test", - "column_idx": 1, - "column": { "name": "hypothesis", "type": "STRING" } - }, - { - "dataset": "glue", - "config": "ax", - "split": "test", - "column_idx": 2, - "column": { - "name": "label", - "type": "CLASS_LABEL", - "labels": ["entailment", "neutral", "contradiction"] - } - }, - { - "dataset": "glue", - "config": "ax", - "split": "test", - "column_idx": 3, - "column": { "name": "idx", "type": "INT" } - } - ], - "rows": [ - { - "dataset": "glue", - "config": "ax", - "split": "test", - "row_idx": 0, - "row": { - "premise": "The cat sat on the mat.", - "hypothesis": "The cat did not sit on the mat.", - "label": -1, - "idx": 0 - }, - "truncated_cells": [] - }, - { - "dataset": "glue", - "config": "ax", - "split": "test", - "row_idx": 1, - "row": { - "premise": "The cat did not sit on the mat.", - "hypothesis": "The cat sat on the mat.", - "label": -1, - "idx": 1 - }, - "truncated_cells": [] - }, - { - "dataset": "glue", - "config": "ax", - "split": "test", - "row_idx": 2, - "row": { - "premise": "When you've got no snow, it's really hard to learn a snow sport so we lo", - "hypothesis": "When you've got snow, it's really hard to learn a snow sport so we looke", - "label": -1, - "idx": 2 - }, - "truncated_cells": ["premise", "hypothesis"] - } - ] - } - ``` - -- `400`: the dataset script is erroneous, or the data cannot be obtained. -- `404`: the dataset, config or script cannot be found, or it's not in the cache -- `500`: application error - -### /assets - -> Return an asset - -Example: https://datasets-server.huggingface.co/assets/food101/--/default/train/0/image/2885220.jpg - -Method: `GET` - -Path parameters: - -`/assets/:dataset/--/:config/:split/:row_idx/:column/:filename` - -- `dataset` (required): the dataset ID -- `config` (required): the configuration name. If the dataset does not contain configs, you must explicitly pass "config=default" -- `split` (required): the split name -- `row_idx` (required): the 0-based row index -- `column` (required): the column name -- `filename` (required): the asset file name - -Responses: - -- `200`: the asset file -- `400`: the dataset script is erroneous, or the data cannot be obtained. -- `404`: the dataset, config, script, row, column, filename or data cannot be found -- `500`: application error - -### /metrics - -> return a list of metrics in the Prometheus format - -Example: https://datasets-server.huggingface.co/metrics - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: text content in the Prometheus format: +See https://huggingface.co/docs/datasets-server @@ -336,28 +27,8 @@ Responses: -```text -... -# HELP starlette_requests_in_progress Gauge of requests by method and path currently being processed -# TYPE starlette_requests_in_progress gauge -starlette_requests_in_progress{method="GET",path_template="/metrics"} 1.0 -# HELP queue_jobs_total Number of jobs in the queue -# TYPE queue_jobs_total gauge -queue_jobs_total{queue="datasets",status="waiting"} 0.0 -queue_jobs_total{queue="datasets",status="started"} 0.0 -queue_jobs_total{queue="datasets",status="success"} 3.0 -queue_jobs_total{queue="datasets",status="error"} 0.0 -queue_jobs_total{queue="datasets",status="cancelled"} 0.0 -queue_jobs_total{queue="splits",status="waiting"} 0.0 -queue_jobs_total{queue="splits",status="started"} 0.0 -queue_jobs_total{queue="splits",status="success"} 4.0 -queue_jobs_total{queue="splits",status="error"} 0.0 -queue_jobs_total{queue="splits",status="cancelled"} 0.0 -# HELP cache_entries_total Number of entries in the cache -# TYPE cache_entries_total gauge -cache_entries_total{cache="datasets",status="empty"} 0.0 -cache_entries_total{cache="datasets",status="error"} 0.0 -cache_entries_total{cache="datasets",status="stale"} 0.0 -cache_entries_total{cache="datasets",status="valid"} 1.0 -cache_entries_total{cache="splits",status="empty"} 0.0 -cache_entries_total{cache="splits",status="error"} 0.0 -cache_entries_total{cache="splits",status="stale"} 0.0 -cache_entries_total{cache="splits",status="valid"} 2.0 -``` +- /healthcheck: ensure the app is running +- /valid: give the list of the valid datasets +- /is-valid: tell if a dataset is valid +- /webhook: add, update or remove a dataset +- /splits: list the [splits](https://huggingface.co/docs/datasets/splits.html) names for a dataset +- /first-rows: extract the first [rows](https://huggingface.co/docs/datasets/splits.html) for a dataset split +- /assets: return a static asset, ej. https://datasets-server.huggingface.co/assets/food101/--/default/train/0/image/2885220.jpg +- /metrics: return a list of metrics in the Prometheus format diff --git a/services/worker/INSTALL.md b/services/worker/INSTALL.md deleted file mode 100644 index 0d9fb8b2..00000000 --- a/services/worker/INSTALL.md +++ /dev/null @@ -1,158 +0,0 @@ -# Install guide - -Follow the [general INSTALL](../INSTALL.md) to be sure to setup the assets directory and the databases. - -## Requirements - -The requirements are: - -- node (for pm2) -- Python 3.9.6+ (consider [pyenv](https://github.com/pyenv/pyenv)) -- Poetry 1.1.7+ -- make -- libicu-dev -- libsndfile 1.0.30+ - -We assume a machine running Ubuntu. Install packages: - -```bash -sudo apt install python-is-python3 make libicu-dev ffmpeg libavcodec-extra llvm -``` - -Also install `libsndfile` in version `v1.0.30`. As the version in ubuntu stable for the moment is `v1.0.28`, we can build from scratch (see details here: https://github.com/libsndfile/libsndfile) - -``` -sudo apt install -y autoconf autogen automake build-essential libasound2-dev libflac-dev libogg-dev libtool libvorbis-dev libopus-dev libmp3lame-dev libmpg123-dev pkg-config; -cd /tmp; -git clone https://github.com/libsndfile/libsndfile.git; -cd libsndfile; -git checkout v1.0.30; -./autogen.sh; -./configure --enable-werror; -make; -sudo make install; -sudo ldconfig; -cd; -rm -rf /tmp/libsndfile -``` - -Also install node and npm (with [nvm](https://github.com/nvm-sh/nvm)), then: - -```bash -npm i -g pm2@latest -``` - -Also [install poetry](https://python-poetry.org/docs/master/#installation). Don't forget to add `poetry` to the `PATH` environment variable. - -## Install and configure - -Install the worker: - -```bash - -# See https://github.blog/2013-09-03-two-factor-authentication/#how-does-it-work-for-command-line-git for authentication -git clone https://github.com/huggingface/datasets-server.git -cd datasets-server/services/worker -make install -``` - -Copy and edit the environment variables file: - -```bash -cd datasets-server/services/worker -cp .env.example .env -vi .env -``` - -In particular, set the following environment variables to get access to the common resources: `ASSETS_DIRECTORY`, `MONGO_CACHE_DATABASE`, `MONGO_QUEUE_DATABASE` and `MONGO_URL`. - -## Deploy - -Deploy the datasets workers with: - -```bash -pm2 start --name worker-datasets make -- -C /home/hf/datasets-server/services/worker/ worker-datasets -``` - -Deploy the splits workers with: - -```bash -pm2 start --name worker-splits make -- -C /home/hf/datasets-server/services/worker/ worker-splits -``` - -Launch the same command again to deploy one worker more. - -Finally, ensure that pm2 will restart on reboot (see https://pm2.keymetrics.io/docs/usage/startup/): - -- if it's the first time: - ```bash - pm2 startup - # and follow the instructions - ``` -- else: - ```bash - pm2 save - ``` - -Note that once a worker has processed a job, or has encountered an error, it quits. `pm2` will then restart the worker automatically, so that it can process the following jobs. Exiting after every job, instead of looping on the jobs, has two benefits: memory leaks are reduced, and we don't have to manage specifically a runtime error. - -## Manage - -Use [pm2](https://pm2.keymetrics.io/docs/usage/quick-start/#cheatsheet) to manage the workers. - -```bash -pm2 list -pm2 logs -``` - -## Upgrade - -To deploy a new version of the worker, first update the code - -``` -cd /home/hf/datasets-server/ -git fetch --tags -git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-server/releases/latest) -``` - -If the Python version has been increased to 3.9.6, for example, [run](https://stackoverflow.com/a/65589331/7351594): - -``` -cd services/worker -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` - -Install the dependencies - -``` -make install -``` - -Check is new environment variables are available and edit the environment variables in `.env`: - -``` -cd services/worker -diff .env.example .env -vi .env -``` - -Apply the database migrations (see [libs/libcache/src/libcache/migrations/README.md](./../../libs/libcache/migrations/README.md)) if any (in this case: ensure to upgrade the other services too). - -``` -# see https://github.com/huggingface/datasets-server/blob/main/libs/libcache/migrations/README.md -``` - -If you want to be extra-sure, check that all the tests are passing - -``` -make test -``` - -Restart - -``` -pm2 restart worker-datasets -pm2 restart worker-splits -``` diff --git a/services/worker/README.md b/services/worker/README.md index 65214f17..de9efb7b 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -5,17 +5 @@ -## Install - -See [INSTALL](./INSTALL.md#Install) - -## Run - -Launch the worker to preprocess the splits/ responses: - -```bash -WORKER_QUEUE=splits_responses make run -``` - -Launch the worker to preprocess the first-rows/ responses: - -```bash -WORKER_QUEUE=first_rows_responses make run -``` +## Configuration @@ -48,6 +31,0 @@ Set environment variables to configure the following aspects: - -For example: - -```bash -LOG_LEVEL=DEBUG WORKER_QUEUE=datasets make run -```
91f440ec6c5d48d3ed801d7f60608f201b4a36e3
Sylvain Lesage
2022-09-16T17:20:45
feat: 🎸 don't close issues with tag "keep" (#569)
diff --git a/tools/stale.py b/tools/stale.py index d3646611..2d078829 100644 --- a/tools/stale.py +++ b/tools/stale.py @@ -27,0 +28 @@ LABELS_TO_EXEMPT = [ + "keep"
25b80c6a8dc809db769feb2810a5bf43ccfabb75
Sylvain Lesage
2022-09-16T13:02:04
rework doc (#566)
diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index a5159866..1db3d3b4 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -1,2 +1,2 @@ - -- sections: +- title: Get started + sections: @@ -4 +4,3 @@ - title: 🤗 Datasets server + title: 🤗 Datasets API + - local: valid + title: Valid datasets @@ -9,5 +10,0 @@ - - local: valid - title: Valid datasets - - local: api_reference - title: API reference - title: Get started diff --git a/docs/source/api_reference.mdx b/docs/source/api_reference.mdx deleted file mode 100644 index ee4a1b9d..00000000 --- a/docs/source/api_reference.mdx +++ /dev/null @@ -1,25 +0,0 @@ -# API reference - -The base URL of the REST API is - - ``` - https://datasets-server.huggingface.co - ``` - -It provides the following endpoints: - -| Endpoint | Description | Query parameters | -| --- | --- | --- | -| /splits GET | Get the list of configurations and splits of a dataset. | `dataset`: name of the dataset | -| /first-rows GET | Get the first rows of a dataset split. | - `dataset`: name of the dataset<br>- `config`: name of the config<br>- `split`: name of the split | -| /valid GET | Get the list of datasets hosted in the Hub and supported by the datasets server. | | - -## OpenAPI specification - -The OpenAPI (fka Swagger) specification is published at https://datasets-server.huggingface.co/openapi.json. - -You can explore it with: - -- [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json) -- [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053) -- [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api/) diff --git a/docs/source/first_rows.mdx b/docs/source/first_rows.mdx index 00141926..35eefe53 100644 --- a/docs/source/first_rows.mdx +++ b/docs/source/first_rows.mdx @@ -3 +3 @@ -The endpoint `/first-rows` provides the columns and the first rows of a dataset [split](./splits): +The endpoint `/first-rows` provides the columns and the first rows of a dataset [split](./splits). @@ -5,3 +5,3 @@ The endpoint `/first-rows` provides the columns and the first rows of a dataset - ``` - https://datasets-server.huggingface.co/first-rows?dataset={dataset_name}&config={config_name}&split={split_name} - ``` +``` +https://datasets-server.huggingface.co/first-rows?dataset={dataset}&config={config}&split={split} +``` @@ -9 +9 @@ The endpoint `/first-rows` provides the columns and the first rows of a dataset -The first 100 rows, or all the rows if the split contains less than 100 rows, are returned. The list of columns (called [features](https://huggingface.co/docs/datasets/about_dataset_features) to stick with the `datasets` library) contain the data type. +The endpoint takes three query parameters: @@ -11,3 +11,5 @@ The first 100 rows, or all the rows if the split contains less than 100 rows, ar -<Tip warning={true}> - Currently, the API only returns rows of the <a href="https://huggingface.co/docs/datasets/stream">"streamable" datasets</a>. By loading a dataset in streaming mode, the first rows can be extracted without downloading the whole dataset. -</Tip> +| Query parameters | | +| :--------------------- | :----------------------------------------------------------------------------- | +| **dataset** (required) | the dataset name, for example `glue` or `mozilla-foundation/common_voice_10_0` | +| **config** (required) | the configuration name, for example `cola` | +| **split** (required) | the split name, for example `train` | @@ -15 +17,42 @@ The first 100 rows, or all the rows if the split contains less than 100 rows, ar -For example, here are the features and the first rows of the `duorc` / `SelfRC` train split. +Try it in your [browser](https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&split=train), with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-32d6a8be-b800-446a-8cee-f6b5ca1710df), with [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listFirstRows), or programmatically. Pass your API token if you query a [gated dataset](https://huggingface.co/docs/hub/datasets-gated). + +<inferencesnippet> +<python> +```python +import json +import requests +headers = {"Authorization": f"Bearer {API_TOKEN}"} +API_URL = "https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&split=train" +def query(): + response = requests.request("GET", API_URL, headers=headers) + return json.loads(response.content.decode("utf-8")) +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&split=train", + { + headers: { Authorization: `Bearer ${API_TOKEN}` }, + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&split=train \ + -X GET \ + -H "Authorization: Bearer ${API_TOKEN}" +``` +</curl> +</inferencesnippet> @@ -17 +60,27 @@ For example, here are the features and the first rows of the `duorc` / `SelfRC` -https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&split=train +The response is a JSON. The first 100 rows, or all the rows if the split contains less than 100 rows, are returned under the `rows` key. The list of columns (called [features](https://huggingface.co/docs/datasets/about_dataset_features) to stick with the `datasets` library) contain the data type and are returned under the `features` key. The `dataset`, `config` and `split` fields are also provided in the response. + +| Response | | +| :----------- | :--------------------- | +| **dataset** | the dataset name | +| **config** | the configuration name | +| **split** | the split name | +| **features** | the list of features | +| **rows** | the list of rows | + +The detail of every feature is: + +| Response: feature fields | | +| :----------------------- | :-------------------------------------------------------------------------------------------------------------------- | +| **feature_idx** | the index of the column | +| **name** | the name of the column | +| **type** | the [feature type](https://huggingface.co/docs/datasets/about_dataset_features) as defined by the 🤗 Datasets library | + +The detail of every row is: + +| Response: row fields | | +| :------------------- | :---------------------------------------------------------------------------- | +| **row_idx** | the index of the row | +| **row** | the content of the row, with one field for each column | +| **truncated_cells** | the list of truncated cells. See [Truncated responses](#truncated-responses). | + +For example, here are the features and the first rows of the `duorc` / `SelfRC` train split. @@ -106,3 +175 @@ If even the first rows generate a response that does not fit within the limit, t -See for example the [`ett`](https://huggingface.co/datasets/ett/viewer/m2/test) dataset: only 10 rows are returned, and the content of two of the columns are truncated. - -https://datasets-server.huggingface.co/first-rows?dataset=ett&config=m2&split=test +See for example the [`ett`](https://datasets-server.huggingface.co/first-rows?dataset=ett&config=m2&split=test) dataset: only 10 rows are returned, and the content of two of the columns are truncated. diff --git a/docs/source/index.mdx b/docs/source/index.mdx index 47174f6e..915839be 100644 --- a/docs/source/index.mdx +++ b/docs/source/index.mdx @@ -1 +1 @@ -# Datasets server +# Datasets API @@ -3 +3 @@ -The 🤗 Datasets server gives access to the contents, metadata and basic statistics of the [Hugging Face Hub datasets](https://huggingface.co/datasets) via a REST API. +Integrate into your apps over 10,000 [datasets](https://huggingface.co/datasets) via simple HTTP requests, with pre-processed responses and scalability built-in. @@ -5 +5 @@ The 🤗 Datasets server gives access to the contents, metadata and basic statis -Try it with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053) or [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api/). +## Main features @@ -7 +7,6 @@ Try it with [Postman](https://www.postman.com/huggingface/workspace/hugging-face -## History +- Access **10,000+ Machine Learning datasets** +- Get instantaneous responses to **pre-processed** long-running queries +- Access **metadata and data**: list of splits, list of columns and data types, 100 first rows +- Download **images and audio files** (first 100 rows) +- Handle **any kind of dataset** thanks to the [🤗 Datasets](https://github.com/huggingface/datasets) library +- See it in action in the [dataset viewer](https://huggingface.co/docs/hub/datasets-viewer) on the Hub. @@ -9 +14 @@ Try it with [Postman](https://www.postman.com/huggingface/workspace/hugging-face -The API has originally been developed to provide data to the [Dataset viewer](https://huggingface.co/docs/hub/datasets-viewer) on the Hub. Because of the large volume of data, the information about the datasets cannot be extracted on-the-fly, and must be preprocessed and stored beforehand in order to later be accessed quickly on the Hub. +## Endpoints @@ -11 +16,30 @@ The API has originally been developed to provide data to the [Dataset viewer](ht -We decided to make the API public to provide programmatic access to the information about datasets. +The base URL of the REST API is + +``` +https://datasets-server.huggingface.co +``` + +The API provides the following endpoints: + +| Endpoint | Method | Description | Query parameters | +| --------------------------- | ------ | -------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- | +| [/valid](./valid) | GET | Get the list of datasets hosted in the Hub and supported by the datasets server. | | +| [/splits](./splits) | GET | Get the list of configurations and splits of a dataset. | `dataset`: name of the dataset | +| [/first-rows](./first-rows) | GET | Get the columns (with data type) and first rows of a dataset split. | - `dataset`: name of the dataset<br>- `config`: name of the config<br>- `split`: name of the split | + +## Get your API Token + +To get started you need to: + +- [Register](https://huggingface.co/join) or [Login](https://huggingface.co/login). +- Get your API token [in your Hugging Face profile](https://huggingface.co/settings/tokens). + +You should see a token `hf_xxxxx`. + +If you do not submit your API token when sending requests to the API, you will not be able to access [gated datasets](https://huggingface.co/docs/hub/datasets-gated), such as [Common Voice](https://huggingface.co/datasets/mozilla-foundation/common_voice_10_0), [OSCAR](oscar-corpus/OSCAR-2109) or [ImageNet](https://huggingface.co/datasets/imagenet-1k). + +## OpenAPI specification + +The OpenAPI specification (fka Swagger) is published at https://datasets-server.huggingface.co/openapi.json. + +Explore it and **run the queries** with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json), [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053) or [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api/). diff --git a/docs/source/splits.mdx b/docs/source/splits.mdx index a9934bb3..37df2b2b 100644 --- a/docs/source/splits.mdx +++ b/docs/source/splits.mdx @@ -3 +3 @@ -A dataset generally contains multiple _[splits](https://huggingface.co/docs/datasets/load_hub#splits)_, a specific subset of a dataset like `train` and `test`. The dataset can also contain _[configurations](https://huggingface.co/docs/datasets/load_hub#configurations)_, a sub-dataset of the larger dataset. +The datasets aimed at training and evaluating a Machine Learning model are generally divided into multiple _[splits](https://huggingface.co/docs/datasets/load_hub#splits)_, for example `train`, `test` and `validation`. @@ -5 +5 @@ A dataset generally contains multiple _[splits](https://huggingface.co/docs/data -See the [documentation](https://huggingface.co/docs/datasets) of the [🤗 Datasets](https://github.com/huggingface/datasets) library to read more in depth about the concepts. +Some datasets also use _[configurations](https://huggingface.co/docs/datasets/load_hub#configurations)_ (sub-datasets) to group similar examples: [CommonVoice](https://huggingface.co/datasets/mozilla-foundation/common_voice_10_0)'s configurations embed the audio recordings of each language ; [GLUE](https://huggingface.co/datasets/glue) provides one configuration for every evaluation task. @@ -7 +7,3 @@ See the [documentation](https://huggingface.co/docs/datasets) of the [🤗 Datas -To get the list of splits and configurations of a dataset: +Read more in depth about the concepts in the [🤗 Datasets library documentation](https://huggingface.co/docs/datasets). + +The /splits endpoints gives the **list of configurations and splits** of a dataset. @@ -10 +12 @@ To get the list of splits and configurations of a dataset: -https://datasets-server.huggingface.co/splits?dataset={dataset_name} +https://datasets-server.huggingface.co/splits?dataset={dataset} @@ -13 +15,48 @@ https://datasets-server.huggingface.co/splits?dataset={dataset_name} -For example, the [duorc](https://huggingface.co/datasets/duorc) dataset has six splits and two configurations: +The endpoint takes one query parameter: + +| Query parameter | | +| :--------------------- | :----------------------------------------------------------------------------- | +| **dataset** (required) | the dataset name, for example `glue` or `mozilla-foundation/common_voice_10_0` | + +Try it in your [browser](https://huggingface.co/datasets/splits?dataset=duorc), with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-f0cde3b9-c2ee-4062-aaca-65c4cfdd96f8), with [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listSplits), or programmatically. Pass your API token if you query a [gated dataset](https://huggingface.co/docs/hub/datasets-gated). + +<inferencesnippet> +<python> +```python +import json +import requests +headers = {"Authorization": f"Bearer {API_TOKEN}"} +API_URL = "https://datasets-server.huggingface.co/splits?dataset=duorc" +def query(): + response = requests.request("GET", API_URL, headers=headers) + return json.loads(response.content.decode("utf-8")) +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/splits?dataset=duorc", + { + headers: { Authorization: `Bearer ${API_TOKEN}` }, + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/splits?dataset=duorc \ + -X GET \ + -H "Authorization: Bearer ${API_TOKEN}" +``` +</curl> +</inferencesnippet> @@ -15 +64,11 @@ For example, the [duorc](https://huggingface.co/datasets/duorc) dataset has six -https://datasets-server.huggingface.co/splits?dataset=duorc +The response is a JSON. The list of splits is nested under the `splits` key. The fields of every split are: + +| Response: split fields | | +| :--------------------- | :------------------------------------- | +| **dataset** | the name of the dataset | +| **config** | the name of the configuration | +| **split** | the name of the split | +| **num_bytes** | the size in bytes (can be `null`) | +| **num_examples** | the number of examples (can be `null`) | + +For example, the [duorc](https://huggingface.co/datasets/duorc) dataset has six splits and two configurations: diff --git a/docs/source/valid.mdx b/docs/source/valid.mdx index 33a21ac2..1d047877 100644 --- a/docs/source/valid.mdx +++ b/docs/source/valid.mdx @@ -3 +3 @@ -An error may be returned if an issue occurs during extraction of the [splits](./splits) or [first rows](./first_rows) of some datasets. +Some Hub repositories cannot be loaded with the [🤗 Datasets](https://github.com/huggingface/datasets) library, for example because the data has still to be uploaded, or the format is not supported. The API endpoints will return an error for such datasets. @@ -5 +5,6 @@ An error may be returned if an issue occurs during extraction of the [splits](./ -The `/valid` endpoints gives the list of the Hub datasets that work without an error: +<Tip warning={true}> + Currently, only the{" "} + <a href="https://huggingface.co/docs/datasets/stream">streamable</a> datasets + are supported, to allow extracting the 100 first rows without downloading the + whole dataset. +</Tip> @@ -7,5 +12 @@ The `/valid` endpoints gives the list of the Hub datasets that work without an e - ``` - https://datasets-server.huggingface.co/valid - ``` - -The response looks like: +The `/valid` endpoint gives the **list of the Hub datasets** that work without an error. @@ -12,0 +14 @@ The response looks like: +``` @@ -13,0 +16,45 @@ https://datasets-server.huggingface.co/valid +``` + +The endpoint takes no query parameters. + +Try it in your [browser](https://datasets-server.huggingface.co/valid), with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/request/23242779-17b761d0-b2b8-4638-a4f7-73be9049c324), with [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api), with [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json#operation/listValidDatasets), or programmatically: + +<inferencesnippet> +<python> +```python +import json +import requests +API_URL = "https://datasets-server.huggingface.co/valid" +def query(): + response = requests.request("GET", API_URL) + return json.loads(response.content.decode("utf-8")) +data = query() +``` +</python> +<js> +```js +import fetch from "node-fetch"; +async function query(data) { + const response = await fetch( + "https://datasets-server.huggingface.co/valid", + { + method: "GET" + } + ); + const result = await response.json(); + return result; +} +query().then((response) => { + console.log(JSON.stringify(response)); +}); +``` +</js> +<curl> +```curl +curl https://datasets-server.huggingface.co/valid \ + -X GET +``` +</curl> +</inferencesnippet> + +The response is a JSON. The list of names of the valid datasets is nested under the `valid` key:
1c0b09195f6108c59fa3f9bacce483ecda657015
Sylvain Lesage
2022-09-15T17:32:48
chore: 🤖 add a stale bot (#565)
diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml new file mode 100644 index 00000000..87b3e337 --- /dev/null +++ b/.github/workflows/stale.yml @@ -0,0 +1,27 @@ +name: Stale Bot + +on: + schedule: + - cron: "0 15 * * *" + +jobs: + close_stale_issues: + name: Close Stale Issues + if: github.repository == 'huggingface/datasets-server' + runs-on: ubuntu-latest + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + steps: + - uses: actions/checkout@v2 + + - name: Setup Python + uses: actions/setup-python@v1 + with: + python-version: 3.7 + + - name: Install requirements + run: | + pip install PyGithub + - name: Close stale issues + run: | + python tools/stale.py diff --git a/tools/stale.py b/tools/stale.py new file mode 100644 index 00000000..d3646611 --- /dev/null +++ b/tools/stale.py @@ -0,0 +1,63 @@ +# Copyright 2021 The HuggingFace Team, the AllenNLP library authors. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +Script to close stale issue. Taken in part from the AllenNLP repository. +https://github.com/allenai/allennlp. +Copied from https://github.com/huggingface/transformers +""" +from datetime import datetime as dt +import os + +from github import Github + + +LABELS_TO_EXEMPT = [ + "good first issue", + "feature request", +] + + +def main(): + g = Github(os.environ["GITHUB_TOKEN"]) + repo = g.get_repo("huggingface/datasets-server") + open_issues = repo.get_issues(state="open") + + for issue in open_issues: + comments = sorted([comment for comment in issue.get_comments()], key=lambda i: i.created_at, reverse=True) + last_comment = comments[0] if len(comments) > 0 else None + if ( + last_comment is not None and last_comment.user.login == "github-actions[bot]" + and (dt.utcnow() - issue.updated_at).days > 7 + and (dt.utcnow() - issue.created_at).days >= 30 + and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()) + ): + # print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.") + issue.edit(state="closed") + elif ( + (dt.utcnow() - issue.updated_at).days > 23 + and (dt.utcnow() - issue.created_at).days >= 30 + and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()) + ): + # print(f"Would add stale comment to {issue.number}") + issue.create_comment( + "This issue has been automatically marked as stale because it has not had " + "recent activity. If you think this still needs to be addressed " + "please comment on this thread.\n\nPlease note that issues that do not follow the " + "[contributing guidelines](https://github.com/huggingface/datasets-server/blob/main/CONTRIBUTING.md) " + "are likely to be ignored." + ) + + +if __name__ == "__main__": + main()
833ea70034a73274d2cec7b4425fe2f8b9d32e53
Sylvain Lesage
2022-09-09T15:17:10
docs: ✏️ add reference to page on RapidAPI (#558)
diff --git a/docs/source/api_reference.mdx b/docs/source/api_reference.mdx index 9425737f..ee4a1b9d 100644 --- a/docs/source/api_reference.mdx +++ b/docs/source/api_reference.mdx @@ -21 +21,5 @@ The OpenAPI (fka Swagger) specification is published at https://datasets-server. -You can explore it with ReDoc at https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json. +You can explore it with: + +- [ReDoc](https://redocly.github.io/redoc/?url=https://datasets-server.huggingface.co/openapi.json) +- [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053) +- [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api/) diff --git a/docs/source/index.mdx b/docs/source/index.mdx index 3feeca85..47174f6e 100644 --- a/docs/source/index.mdx +++ b/docs/source/index.mdx @@ -5 +5 @@ The 🤗 Datasets server gives access to the contents, metadata and basic statis -Try it with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053). +Try it with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053) or [RapidAPI](https://rapidapi.com/hugging-face-hugging-face-default/api/hugging-face-datasets-api/).
129d0c85f353ea6128b34e8471f61aad1c5f6103
Sylvain Lesage
2022-09-09T09:17:02
docs: ✏️ add a mention to postman (#557)
diff --git a/docs/source/index.mdx b/docs/source/index.mdx index af92adab..3feeca85 100644 --- a/docs/source/index.mdx +++ b/docs/source/index.mdx @@ -4,0 +5,2 @@ The 🤗 Datasets server gives access to the contents, metadata and basic statis +Try it with [Postman](https://www.postman.com/huggingface/workspace/hugging-face-apis/documentation/23242779-d068584e-96d1-4d92-a703-7cb12cbd8053). + @@ -10 +11,0 @@ We decided to make the API public to provide programmatic access to the informat -
fc81bffb94ca82156bd2b12d78f7a566a0844a42
Sylvain Lesage
2022-09-09T09:01:03
docs: ✏️ remove extra char (#556)
diff --git a/docs/source/first_rows.mdx b/docs/source/first_rows.mdx index a431f3e5..00141926 100644 --- a/docs/source/first_rows.mdx +++ b/docs/source/first_rows.mdx @@ -20 +20 @@ https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&sp -{{ +{
977fb861d09f74cf42a3f16e946aafa23944c8ed
Sylvain Lesage
2022-09-07T15:08:55
Use whoami to protect admin routes (#553)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 30ca7cd0..b88b084f 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-bb714f7", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-49a60c5", diff --git a/chart/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl index f8dfad76..7429d3d4 100644 --- a/chart/templates/admin/_container.tpl +++ b/chart/templates/admin/_container.tpl @@ -13,0 +14,4 @@ + - name: HF_ORGANIZATION + value: {{ .Values.admin.hfOrganization | quote }} + - name: HF_WHOAMI_PATH + value: {{ .Values.admin.hfWhoamiPath | quote }} diff --git a/chart/templates/ingress.yaml b/chart/templates/ingress.yaml index ea57c91c..6fc6e777 100644 --- a/chart/templates/ingress.yaml +++ b/chart/templates/ingress.yaml @@ -7 +6,0 @@ metadata: - alb.ingress.kubernetes.io/group.order: '2' diff --git a/chart/templates/ingressAdmin.yaml b/chart/templates/ingressAdmin.yaml deleted file mode 100644 index 8a72af8b..00000000 --- a/chart/templates/ingressAdmin.yaml +++ /dev/null @@ -1,25 +0,0 @@ -apiVersion: networking.k8s.io/v1 -kind: Ingress -metadata: - annotations: - # to communicate with AWS - {{ toYaml .Values.ingress.annotations | nindent 4 }} - alb.ingress.kubernetes.io/auth-type: "oidc" - alb.ingress.kubernetes.io/auth-idp-oidc: '{"issuer":"https://hugging-face.okta.com","authorizationEndpoint":"https://hugging-face.okta.com/oauth2/v1/authorize","tokenEndpoint":"https://hugging-face.okta.com/oauth2/v1/token","userInfoEndpoint":"https://hugging-face.okta.com/oauth2/v1/userinfo","secretName":"sso-secret"}' - alb.ingress.kubernetes.io/group.order: '1' - labels: - {{ include "labels.reverseProxy" . | nindent 4 }} - name: "{{ include "release" . }}-admin" - namespace: {{ .Release.Namespace }} -spec: - rules: - - host: {{ .Values.apiDomain }} - http: - paths: - - backend: - service: - name: "{{ include "release" . }}-reverse-proxy" - port: - name: http - pathType: Prefix - path: /admin diff --git a/chart/values.yaml b/chart/values.yaml index b67ef4a7..d54ec688 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -216,0 +217,4 @@ admin: + # HF organization + hfOrganization: "huggingface" + # External authentication path. + hfWhoamiPath: "/api/whoami-v2" diff --git a/services/admin/.env.example b/services/admin/.env.example index af2b8125..d8b7ee7b 100644 --- a/services/admin/.env.example +++ b/services/admin/.env.example @@ -18,0 +19,6 @@ +# HF organization +# HF_ORGANIZATION= + +# External authentication path. +# HF_WHOAMI_PATH= + diff --git a/services/admin/README.md b/services/admin/README.md index 10758a3e..2b79b219 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -21,0 +22,2 @@ Set environment variables to configure the following aspects: +- `HF_ORGANIZATION`: the huggingface organization from which the authenticated user must be part of in order to access the protected routes, eg. "huggingface". If empty, the authentication is disabled. Defaults to None. +- `HF_WHOAMI_PATH`: the path of the external whoami service, on the hub (see `HF_ENDPOINT`), eg. "/api/whoami-v2". If empty, the authentication is disabled. Defaults to None. diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index c06ac345..132a8086 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -599,0 +600,15 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] +[[package]] +name = "responses" +version = "0.21.0" +description = "A utility library for mocking out the `requests` Python library." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +requests = ">=2.0,<3.0" +urllib3 = ">=1.25.10" + +[package.extras] +tests = ["pytest (>=7.0.0)", "coverage (>=6.0.0)", "pytest-cov", "pytest-asyncio", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"] + @@ -794 +809 @@ python-versions = "3.9.6" -content-hash = "6f2b9cc486a7729c0668d5c5bad30291f29d2a8b26466c85613e242826049e98" +content-hash = "a9d3b494f4ded5954a1b9af409722aecefbe057daea737912c951a605491729e" @@ -1233,0 +1249 @@ requests = [ +responses = [] diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 9b55aafb..c244b579 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -28,0 +29 @@ safety = "^2.1.1" +responses = "^0.21.0" diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index deae6b62..0ad340b3 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -15,0 +16,2 @@ from admin.config import ( + EXTERNAL_AUTH_URL, + HF_ORGANIZATION, @@ -23,2 +25,2 @@ from admin.routes.cache_reports import ( - cache_reports_first_rows_endpoint, - cache_reports_splits_endpoint, + create_cache_reports_first_rows_endpoint, + create_cache_reports_splits_endpoint, @@ -27 +29 @@ from admin.routes.healthcheck import healthcheck_endpoint -from admin.routes.pending_jobs import pending_jobs_endpoint +from admin.routes.pending_jobs import create_pending_jobs_endpoint @@ -47,2 +49,7 @@ def create_app() -> Starlette: - Route("/cache-reports/first-rows", endpoint=cache_reports_first_rows_endpoint), - Route("/cache-reports/splits", endpoint=cache_reports_splits_endpoint), + Route( + "/cache-reports/first-rows", + endpoint=create_cache_reports_first_rows_endpoint(EXTERNAL_AUTH_URL, HF_ORGANIZATION), + ), + Route( + "/cache-reports/splits", endpoint=create_cache_reports_splits_endpoint(EXTERNAL_AUTH_URL, HF_ORGANIZATION) + ), @@ -50 +57 @@ def create_app() -> Starlette: - Route("/pending-jobs", endpoint=pending_jobs_endpoint), + Route("/pending-jobs", endpoint=create_pending_jobs_endpoint(EXTERNAL_AUTH_URL, HF_ORGANIZATION)), diff --git a/services/admin/src/admin/authentication.py b/services/admin/src/admin/authentication.py new file mode 100644 index 00000000..01b9914f --- /dev/null +++ b/services/admin/src/admin/authentication.py @@ -0,0 +1,62 @@ +from typing import Literal, Optional + +import requests +from requests import PreparedRequest +from requests.auth import AuthBase +from starlette.requests import Request + +from admin.utils import ExternalAuthenticatedError, ExternalUnauthenticatedError + + +class RequestAuth(AuthBase): + """Attaches input Request authentication headers to the given Request object.""" + + def __init__(self, request: Optional[Request]) -> None: + if request is not None: + self.authorization = request.headers.get("authorization") + else: + self.authorization = None + + def __call__(self, r: PreparedRequest) -> PreparedRequest: + # modify and return the request + if self.authorization: + r.headers["authorization"] = self.authorization + return r + + +def auth_check( + external_auth_url: Optional[str] = None, request: Optional[Request] = None, organization: Optional[str] = None +) -> Literal[True]: + """check if the user is member of the organization + + Args: + external_auth_url (str | None): the URL of an external authentication service. If None, the dataset is always + authorized. + request (Request | None): the request which optionally bears authentication headers: "cookie" or + "authorization" + organization (str | None): the organization name + + Returns: + None: the user is authorized + """ + if external_auth_url is None: + return True + try: + response = requests.get(external_auth_url, auth=RequestAuth(request)) + except Exception as err: + raise RuntimeError("External authentication check failed", err) from err + if response.status_code == 200: + try: + json = response.json() + if organization is None or organization in {org["name"] for org in json["orgs"]}: + return True + else: + raise ExternalAuthenticatedError("You are not member of the organization") + except Exception as err: + raise ExternalAuthenticatedError("Cannot access the route with the current credentials.") from err + elif response.status_code == 401: + raise ExternalUnauthenticatedError("Cannot access the route. Please retry with authentication.") + elif response.status_code in [403, 404]: + raise ExternalAuthenticatedError("Cannot access the route with the current credentials.") + else: + raise ValueError(f"Unexpected status code {response.status_code}") diff --git a/services/admin/src/admin/config.py b/services/admin/src/admin/config.py index e685b1fd..39951026 100644 --- a/services/admin/src/admin/config.py +++ b/services/admin/src/admin/config.py @@ -12,0 +13,2 @@ from admin.constants import ( + DEFAULT_HF_ORGANIZATION, + DEFAULT_HF_WHOAMI_PATH, @@ -30,0 +33,2 @@ HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ +HF_ORGANIZATION = get_str_or_none_value(d=os.environ, key="HF_ORGANIZATION", default=DEFAULT_HF_ORGANIZATION) +HF_WHOAMI_PATH = get_str_or_none_value(d=os.environ, key="HF_WHOAMI_PATH", default=DEFAULT_HF_WHOAMI_PATH) @@ -35,0 +40,2 @@ MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_U + +EXTERNAL_AUTH_URL = None if HF_WHOAMI_PATH is None else f"{HF_ENDPOINT}{HF_WHOAMI_PATH}" diff --git a/services/admin/src/admin/constants.py b/services/admin/src/admin/constants.py index cb2a8c52..efe7377e 100644 --- a/services/admin/src/admin/constants.py +++ b/services/admin/src/admin/constants.py @@ -6,0 +7,2 @@ DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" +DEFAULT_HF_ORGANIZATION: None = None +DEFAULT_HF_WHOAMI_PATH: None = None diff --git a/services/admin/src/admin/routes/cache_reports.py b/services/admin/src/admin/routes/cache_reports.py index 43ff68a6..6de4406a 100644 --- a/services/admin/src/admin/routes/cache_reports.py +++ b/services/admin/src/admin/routes/cache_reports.py @@ -1,0 +2 @@ import logging +from typing import Optional @@ -11,0 +13 @@ from starlette.responses import Response +from admin.authentication import auth_check @@ -14,0 +17 @@ from admin.utils import ( + Endpoint, @@ -24,4 +27,4 @@ logger = logging.getLogger(__name__) -async def cache_reports_first_rows_endpoint(request: Request) -> Response: - try: - cursor = request.query_params.get("cursor") or "" - logger.info(f"/cache-reports/first-rows, cursor={cursor}") +def create_cache_reports_first_rows_endpoint( + external_auth_url: Optional[str] = None, organization: Optional[str] = None +) -> Endpoint: + async def cache_reports_first_rows_endpoint(request: Request) -> Response: @@ -29,17 +32,24 @@ async def cache_reports_first_rows_endpoint(request: Request) -> Response: - return get_json_ok_response(get_cache_reports_first_rows(cursor, CACHE_REPORTS_NUM_RESULTS)) - except InvalidCursor as e: - raise InvalidParameterError("Invalid cursor.") from e - except InvalidLimit as e: - raise UnexpectedError( - "Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer." - ) from e - except AdminCustomError as e: - return get_json_admin_error_response(e) - except Exception: - return get_json_admin_error_response(UnexpectedError("Unexpected error.")) - - -async def cache_reports_splits_endpoint(request: Request) -> Response: - try: - cursor = request.query_params.get("cursor") or "" - logger.info(f"/cache-reports/splits, cursor={cursor}") + cursor = request.query_params.get("cursor") or "" + logger.info(f"/cache-reports/first-rows, cursor={cursor}") + # if auth_check fails, it will raise an exception that will be caught below + auth_check(external_auth_url=external_auth_url, request=request, organization=organization) + try: + return get_json_ok_response(get_cache_reports_first_rows(cursor, CACHE_REPORTS_NUM_RESULTS)) + except InvalidCursor as e: + raise InvalidParameterError("Invalid cursor.") from e + except InvalidLimit as e: + raise UnexpectedError( + "Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer." + ) from e + except AdminCustomError as e: + return get_json_admin_error_response(e) + except Exception: + return get_json_admin_error_response(UnexpectedError("Unexpected error.")) + + return cache_reports_first_rows_endpoint + + +def create_cache_reports_splits_endpoint( + external_auth_url: Optional[str] = None, organization: Optional[str] = None +) -> Endpoint: + async def cache_reports_splits_endpoint(request: Request) -> Response: @@ -47,11 +57,18 @@ async def cache_reports_splits_endpoint(request: Request) -> Response: - return get_json_ok_response(get_cache_reports_splits(cursor, CACHE_REPORTS_NUM_RESULTS)) - except InvalidCursor as e: - raise InvalidParameterError("Invalid cursor.") from e - except InvalidLimit as e: - raise UnexpectedError( - "Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer." - ) from e - except AdminCustomError as e: - return get_json_admin_error_response(e) - except Exception: - return get_json_admin_error_response(UnexpectedError("Unexpected error.")) + cursor = request.query_params.get("cursor") or "" + logger.info(f"/cache-reports/splits, cursor={cursor}") + # if auth_check fails, it will raise an exception that will be caught below + auth_check(external_auth_url=external_auth_url, request=request, organization=organization) + try: + return get_json_ok_response(get_cache_reports_splits(cursor, CACHE_REPORTS_NUM_RESULTS)) + except InvalidCursor as e: + raise InvalidParameterError("Invalid cursor.") from e + except InvalidLimit as e: + raise UnexpectedError( + "Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer." + ) from e + except AdminCustomError as e: + return get_json_admin_error_response(e) + except Exception: + return get_json_admin_error_response(UnexpectedError("Unexpected error.")) + + return cache_reports_splits_endpoint diff --git a/services/admin/src/admin/routes/pending_jobs.py b/services/admin/src/admin/routes/pending_jobs.py index 894e23ff..c2837e3c 100644 --- a/services/admin/src/admin/routes/pending_jobs.py +++ b/services/admin/src/admin/routes/pending_jobs.py @@ -2,0 +3 @@ import time +from typing import Optional @@ -8,2 +9,8 @@ from starlette.responses import Response -from admin.config import MAX_AGE_SHORT_SECONDS -from admin.utils import get_response +from admin.authentication import auth_check +from admin.utils import ( + AdminCustomError, + Endpoint, + UnexpectedError, + get_json_admin_error_response, + get_json_ok_response, +) @@ -14,11 +21,21 @@ logger = logging.getLogger(__name__) -async def pending_jobs_endpoint(_: Request) -> Response: - logger.info("/pending-jobs") - return get_response( - { - "/splits": get_splits_dump_by_status(waiting_started=True), - "/first-rows": get_first_rows_dump_by_status(waiting_started=True), - "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), - }, - 200, - MAX_AGE_SHORT_SECONDS, - ) +def create_pending_jobs_endpoint( + external_auth_url: Optional[str] = None, organization: Optional[str] = None +) -> Endpoint: + async def pending_jobs_endpoint(request: Request) -> Response: + logger.info("/pending-jobs") + try: + # if auth_check fails, it will raise an exception that will be caught below + auth_check(external_auth_url=external_auth_url, request=request, organization=organization) + return get_json_ok_response( + { + "/splits": get_splits_dump_by_status(waiting_started=True), + "/first-rows": get_first_rows_dump_by_status(waiting_started=True), + "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), + } + ) + except AdminCustomError as e: + return get_json_admin_error_response(e) + except Exception: + return get_json_admin_error_response(UnexpectedError("Unexpected error.")) + + return pending_jobs_endpoint diff --git a/services/admin/src/admin/utils.py b/services/admin/src/admin/utils.py index 0dcd9f35..cc5fee89 100644 --- a/services/admin/src/admin/utils.py +++ b/services/admin/src/admin/utils.py @@ -2 +2 @@ from http import HTTPStatus -from typing import Any, Literal, Optional +from typing import Any, Callable, Coroutine, Literal, Optional @@ -5,0 +6 @@ from libutils.utils import orjson_dumps +from starlette.requests import Request @@ -11,2 +12 @@ AdminErrorCode = Literal[ - "InvalidParameter", - "UnexpectedError", + "InvalidParameter", "UnexpectedError", "ExternalUnauthenticatedError", "ExternalAuthenticatedError" @@ -43,0 +44,14 @@ class UnexpectedError(AdminCustomError): +class ExternalUnauthenticatedError(AdminCustomError): + """Raised when the external authentication check failed while the user was unauthenticated.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.UNAUTHORIZED, "ExternalUnauthenticatedError") + + +class ExternalAuthenticatedError(AdminCustomError): + """Raised when the external authentication check failed while the user was authenticated.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.NOT_FOUND, "ExternalAuthenticatedError") + + @@ -74,0 +89,3 @@ def get_json_admin_error_response(error: AdminCustomError) -> Response: + + +Endpoint = Callable[[Request], Coroutine[Any, Any, Response]] diff --git a/services/admin/tests/test_authentication.py b/services/admin/tests/test_authentication.py new file mode 100644 index 00000000..13351074 --- /dev/null +++ b/services/admin/tests/test_authentication.py @@ -0,0 +1,95 @@ +from typing import Dict + +import pytest +import responses +from starlette.requests import Headers, Request + +from admin.authentication import auth_check +from admin.utils import ExternalAuthenticatedError, ExternalUnauthenticatedError + +from .utils import request_callback + + +def test_no_auth_check() -> None: + assert auth_check() is True + + [email protected] +def test_unreachable_external_auth_check_service() -> None: + with pytest.raises(RuntimeError): + auth_check(external_auth_url="https://auth.check") + + [email protected] +def test_external_auth_responses_without_request() -> None: + url = "https://auth.check" + body = '{"orgs": [{"name": "org1"}]}' + responses.add(responses.GET, url, status=200, body=body) + assert auth_check(external_auth_url=url, organization=None) is True + + responses.add(responses.GET, url, status=401, body=body) + with pytest.raises(ExternalUnauthenticatedError): + auth_check(external_auth_url=url, organization=None) + + responses.add(responses.GET, url, status=403, body=body) + with pytest.raises(ExternalAuthenticatedError): + auth_check(external_auth_url=url, organization=None) + + responses.add(responses.GET, url, status=404, body=body) + with pytest.raises(ExternalAuthenticatedError): + auth_check(external_auth_url=url, organization=None) + + responses.add(responses.GET, url, status=429, body=body) + with pytest.raises(ValueError): + auth_check(external_auth_url=url, organization=None) + + [email protected] +def test_org() -> None: + url = "https://auth.check" + body = '{"orgs": [{"name": "org1"}]}' + responses.add(responses.GET, url, status=200, body=body) + assert auth_check(external_auth_url=url, organization="org1") is True + + responses.add(responses.GET, url, status=403, body=body) + with pytest.raises(ExternalAuthenticatedError): + auth_check(external_auth_url=url, organization="org2") + + +def create_request(headers: Dict[str, str]) -> Request: + return Request( + { + "type": "http", + "path": "/some-path", + "headers": Headers(headers).raw, + "http_version": "1.1", + "method": "GET", + "scheme": "https", + "client": ("127.0.0.1", 8080), + "server": ("some.server", 443), + } + ) + + [email protected] +def test_valid_responses_with_request() -> None: + url = "https://auth.check" + organization = "org1" + + responses.add_callback(responses.GET, url, callback=request_callback) + + with pytest.raises(ExternalAuthenticatedError): + auth_check( + external_auth_url=url, + request=create_request(headers={"authorization": "Bearer token"}), + organization=organization, + ) + + assert ( + auth_check( + external_auth_url=url, + request=create_request(headers={}), + organization=organization, + ) + is True + ) diff --git a/services/admin/tests/utils.py b/services/admin/tests/utils.py new file mode 100644 index 00000000..332729f9 --- /dev/null +++ b/services/admin/tests/utils.py @@ -0,0 +1,15 @@ +from typing import Mapping, Tuple, Union + +from requests import PreparedRequest +from responses import _Body + + +def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Mapping[str, str], _Body]]: + # return 404 if a token has been provided, + # and 200 if none has been provided + # there is no logic behind this behavior, it's just to test if th + # token are correctly passed to the auth_check service + body = '{"orgs": [{"name": "org1"}]}' + if request.headers.get("authorization"): + return (404, {"Content-Type": "text/plain"}, body) + return (200, {"Content-Type": "text/plain"}, body) diff --git a/services/api/src/api/authentication.py b/services/api/src/api/authentication.py index 599d77f7..346dadae 100644 --- a/services/api/src/api/authentication.py +++ b/services/api/src/api/authentication.py @@ -65 +65 @@ def auth_check( - elif response.status_code == 403 or response.status_code == 404: + elif response.status_code in [403, 404]:
b5fddb6fa083b75f28829cb37fe17bd5d233b5cc
Sylvain Lesage
2022-09-07T11:57:12
feat: 🎸 remove temporary routes (-next) (#551)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 9b7e4965..30ca7cd0 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -4 +4 @@ - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-d2d0002", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-ff2b3f4", diff --git a/docs/source/api_reference.mdx b/docs/source/api_reference.mdx index b614fccc..9425737f 100644 --- a/docs/source/api_reference.mdx +++ b/docs/source/api_reference.mdx @@ -14 +14 @@ It provides the following endpoints: -| /rows GET | Get the first rows of a dataset split. | - `dataset`: name of the dataset<br>- `config`: name of the config<br>- `split`: name of the split | +| /first-rows GET | Get the first rows of a dataset split. | - `dataset`: name of the dataset<br>- `config`: name of the config<br>- `split`: name of the split | diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 70616c02..466fcc2f 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -50 +49,0 @@ def create_app() -> Starlette: - Route("/healthcheck", endpoint=healthcheck_endpoint), @@ -57,5 +55,0 @@ def create_app() -> Starlette: - to_deprecate: List[BaseRoute] = [ - Route("/valid-next", endpoint=valid_endpoint), - Route("/is-valid-next", endpoint=create_is_valid_endpoint(EXTERNAL_AUTH_URL)), - Route("/splits-next", endpoint=create_splits_endpoint(EXTERNAL_AUTH_URL)), - ] @@ -64,0 +59,3 @@ def create_app() -> Starlette: + ] + protected: List[BaseRoute] = [ + Route("/healthcheck", endpoint=healthcheck_endpoint), @@ -72 +69 @@ def create_app() -> Starlette: - routes: List[BaseRoute] = documented + to_deprecate + to_protect + for_development_only + routes: List[BaseRoute] = documented + to_protect + protected + for_development_only
21980ffbec777c4b7287b35a7e589c3c1d8e948e
Sylvain Lesage
2022-09-07T11:16:05
docs: ✏️ update the docs (#550)
diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index fa837e45..4e67ab2e 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -1153 +1153 @@ - "summary": "First rows of a split (experimental)", + "summary": "First rows of a split", @@ -1975 +1975 @@ - "summary": "Valid datasets (experimental)", + "summary": "Valid datasets", @@ -2063 +2063 @@ - "summary": "Check if a dataset is valid (experimental)", + "summary": "Check if a dataset is valid", diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index 1653de13..a5159866 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -7 +7 @@ - - local: rows + - local: first_rows diff --git a/docs/source/rows.mdx b/docs/source/first_rows.mdx similarity index 73% rename from docs/source/rows.mdx rename to docs/source/first_rows.mdx index 22dd075d..a431f3e5 100644 --- a/docs/source/rows.mdx +++ b/docs/source/first_rows.mdx @@ -3 +3 @@ -The endpoint `/rows` provides the columns and the first rows of a dataset [split](./splits): +The endpoint `/first-rows` provides the columns and the first rows of a dataset [split](./splits): @@ -6 +6 @@ The endpoint `/rows` provides the columns and the first rows of a dataset [split - https://datasets-server.huggingface.co/rows?dataset={dataset_name}&config={config_name}&split={split_name} + https://datasets-server.huggingface.co/first-rows?dataset={dataset_name}&config={config_name}&split={split_name} @@ -9 +9 @@ The endpoint `/rows` provides the columns and the first rows of a dataset [split -The first 100 rows, or all the rows if the split contains less than 100 rows, are returned. The list of columns contain the data type. +The first 100 rows, or all the rows if the split contains less than 100 rows, are returned. The list of columns (called [features](https://huggingface.co/docs/datasets/about_dataset_features) to stick with the `datasets` library) contain the data type. @@ -11 +11,3 @@ The first 100 rows, or all the rows if the split contains less than 100 rows, ar -For example, here are the columns and the first rows of the `duorc` / `SelfRC` train split. +<Tip warning={true}> + Currently, the API only returns rows of the <a href="https://huggingface.co/docs/datasets/stream">"streamable" datasets</a>. By loading a dataset in streaming mode, the first rows can be extracted without downloading the whole dataset. +</Tip> @@ -13 +15,3 @@ For example, here are the columns and the first rows of the `duorc` / `SelfRC` t -https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=train +For example, here are the features and the first rows of the `duorc` / `SelfRC` train split. + +https://datasets-server.huggingface.co/first-rows?dataset=duorc&config=SelfRC&split=train @@ -16,2 +20,5 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr -{ - "columns": [ +{{ + "dataset": "duorc", + "config": "SelfRC", + "split": "train", + "features": [ @@ -19,5 +26,3 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "column_idx": 0, - "column": { "name": "plot_id", "type": "STRING" } + "feature_idx": 0, + "name": "plot_id", + "type": { "dtype": "string", "id": null, "_type": "Value" } @@ -26,5 +31,3 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "column_idx": 1, - "column": { "name": "plot", "type": "STRING" } + "feature_idx": 1, + "name": "plot", + "type": { "dtype": "string", "id": null, "_type": "Value" } @@ -33,5 +36,3 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "column_idx": 2, - "column": { "name": "title", "type": "STRING" } + "feature_idx": 2, + "name": "title", + "type": { "dtype": "string", "id": null, "_type": "Value" } @@ -40,5 +41,3 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "column_idx": 3, - "column": { "name": "question_id", "type": "STRING" } + "feature_idx": 3, + "name": "question_id", + "type": { "dtype": "string", "id": null, "_type": "Value" } @@ -47,5 +46,3 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "column_idx": 4, - "column": { "name": "question", "type": "STRING" } + "feature_idx": 4, + "name": "question", + "type": { "dtype": "string", "id": null, "_type": "Value" } @@ -54,5 +51,8 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "column_idx": 5, - "column": { "name": "answers", "type": "JSON" } + "feature_idx": 5, + "name": "answers", + "type": { + "feature": { "dtype": "string", "id": null, "_type": "Value" }, + "length": -1, + "id": null, + "_type": "Sequence" + } @@ -61,5 +61,3 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "column_idx": 6, - "column": { "name": "no_answer", "type": "BOOL" } + "feature_idx": 6, + "name": "no_answer", + "type": { "dtype": "bool", "id": null, "_type": "Value" } @@ -70,3 +67,0 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", @@ -86,3 +80,0 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - "dataset": "duorc", - "config": "SelfRC", - "split": "train", @@ -102 +94 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr - }, + } @@ -103,0 +96,2 @@ https://datasets-server.huggingface.co/rows?dataset=duorc&config=SelfRC&split=tr + ] +} @@ -114 +108 @@ See for example the [`ett`](https://huggingface.co/datasets/ett/viewer/m2/test) -https://datasets-server.huggingface.co/rows?dataset=ett&config=m2&split=test +https://datasets-server.huggingface.co/first-rows?dataset=ett&config=m2&split=test @@ -120,3 +113,0 @@ https://datasets-server.huggingface.co/rows?dataset=ett&config=m2&split=test - "dataset": "ett", - "config": "m2", - "split": "test", @@ -125 +116 @@ https://datasets-server.huggingface.co/rows?dataset=ett&config=m2&split=test - "start": 1467331200.0, + "start": "2016-07-01T00:00:00", @@ -134,3 +124,0 @@ https://datasets-server.huggingface.co/rows?dataset=ett&config=m2&split=test - "dataset": "ett", - "config": "m2", - "split": "test", @@ -139 +127 @@ https://datasets-server.huggingface.co/rows?dataset=ett&config=m2&split=test - "start": 1467331200.0, + "start": "2016-07-01T00:00:00", @@ -146 +134 @@ https://datasets-server.huggingface.co/rows?dataset=ett&config=m2&split=test - } + }, diff --git a/docs/source/splits.mdx b/docs/source/splits.mdx index a00e75e0..a9934bb3 100644 --- a/docs/source/splits.mdx +++ b/docs/source/splits.mdx @@ -3 +3 @@ -A dataset generally contains multiple *[splits](https://huggingface.co/docs/datasets/load_hub#splits)*, a specific subset of a dataset like `train` and `test`. The dataset can also contain *[configurations](https://huggingface.co/docs/datasets/load_hub#configurations)*, a sub-dataset of the larger dataset. +A dataset generally contains multiple _[splits](https://huggingface.co/docs/datasets/load_hub#splits)_, a specific subset of a dataset like `train` and `test`. The dataset can also contain _[configurations](https://huggingface.co/docs/datasets/load_hub#configurations)_, a sub-dataset of the larger dataset. @@ -9,8 +9,3 @@ To get the list of splits and configurations of a dataset: - ``` - https://datasets-server.huggingface.co/splits?dataset={dataset_name} - ``` - -<Tip warning={true}> - Currently, the API only returns rows of the <a href="https://huggingface.co/docs/datasets/stream">"streamable" datasets</a>. By loading a dataset in streaming mode, the first rows can be extracted without downloading the whole dataset. -</Tip> - +``` +https://datasets-server.huggingface.co/splits?dataset={dataset_name} +``` diff --git a/docs/source/valid.mdx b/docs/source/valid.mdx index e955e5ae..33a21ac2 100644 --- a/docs/source/valid.mdx +++ b/docs/source/valid.mdx @@ -3 +3 @@ -An error may be returned if an issue occurs during extraction of the [splits](./splits) or first [rows](./rows) of some datasets. +An error may be returned if an issue occurs during extraction of the [splits](./splits) or [first rows](./first_rows) of some datasets.
9c610830107dae44e265b9210d496257fbef629f
Sylvain Lesage
2022-09-07T09:23:55
feat: 🎸 remove deprecated workers (splits, datasets) (#549)
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 47ff2e33..66bafcf3 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -77,2 +76,0 @@ jobs: - IMAGE_WORKER_ROWS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.rows}}" - IMAGE_WORKER_SPLITS_NEXT: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splitsNext}}" diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 5ee9d20d..c3a2e6b7 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -18,0 +19 @@ then install: +- [services/admin](./services/admin/INSTALL.md) diff --git a/README.md b/README.md index 00add7ec..99e2b94f 100644 --- a/README.md +++ b/README.md @@ -21 +21 @@ The application is distributed in several components. -([api](./services/api)) is an API web server that exposes [endpoints](./services/api/README.md#endpoints) to access the first rows of the Hugging Face Hub datasets. Some of the endpoints generate responses on the fly, but the two main endpoints (`/splits` and `/rows`) only serve precomputed responses, because generating these responses takes time. +([api](./services/api)) is an API web server that exposes [endpoints](./services/api/README.md#endpoints) to access the first rows of the Hugging Face Hub datasets. Some of the endpoints generate responses on the fly, but the two main endpoints (`/splits` and `/first-rows`) only serve precomputed responses, because generating these responses takes time. @@ -29,2 +29,2 @@ Note that two job queues exist: -- `datasets`: the job is to refresh a dataset, namely to get the list of [config](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-configuration) and [split](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-split) names, then to create a new job for every split -- `splits`: the job is to get the columns and the first 100 rows of the split +- `splits`: the job is to refresh a dataset, namely to get the list of [config](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-configuration) and [split](https://huggingface.co/docs/datasets/v2.1.0/en/load_hub#select-a-split) names, then to create a new job for every split +- `first-rows`: the job is to get the columns and the first 100 rows of the split @@ -32 +32 @@ Note that two job queues exist: -Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpoint. +Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/first-rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpoint. @@ -37 +37 @@ Hence, the working application has: -- M instances of the `datasets` worker and N instances of the `splits` worker (N should generally be higher than M) +- M instances of the `splits` worker and N instances of the `first-rows` worker (N should generally be higher than M) diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 722dcee1..9b7e4965 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-120ddb9", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-120ddb9", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-bb714f7", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-d2d0002", @@ -7,4 +7,2 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803", - "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-30cf829", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-30cf829" diff --git a/chart/env/dev.yaml b/chart/env/dev.yaml index f9fd50d7..b3de8885 100644 --- a/chart/env/dev.yaml +++ b/chart/env/dev.yaml @@ -58,18 +57,0 @@ worker: - rows: - replicas: 1 - - resources: - requests: - cpu: 0.01 - limits: - cpu: 1 - - splitsNext: - replicas: 1 - - resources: - requests: - cpu: 0.01 - limits: - cpu: 1 - diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 73065caa..dd62f17e 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -12 +11,0 @@ -# - datasets: 1 CPUs, 30 GiB @@ -13,0 +13 @@ +# - firstRows: 1 CPUs, 30 GiB @@ -21 +21 @@ -# kubectl scale --replicas=16 deploy/datasets-server-prod-worker-datasets +# kubectl scale --replicas=16 deploy/datasets-server-prod-worker-splits @@ -23 +23 @@ -# kubectl scale --replicas=32 deploy/datasets-server-prod-worker-splits +# kubectl scale --replicas=32 deploy/datasets-server-prod-worker-first-rows @@ -110,36 +109,0 @@ worker: - role-datasets-server: "true" - - resources: - requests: - cpu: 1 - memory: "8Gi" - limits: - cpu: 2 - memory: "30Gi" - - # Log level - logLevel: "DEBUG" - - rows: - replicas: 10 - - nodeSelector: - role-datasets-server: "true" - - resources: - requests: - cpu: 1 - memory: "8Gi" - limits: - cpu: 2 - memory: "30Gi" - - # Log level - logLevel: "DEBUG" - # Maximum number of jobs running at the same time for the same dataset - maxJobsPerDataset: 5 - - splitsNext: - replicas: 4 - - nodeSelector: diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index b82784a5..fa837e45 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -35,2 +35,2 @@ - "X-Error-Code-splits-next-401": { - "description": "A string that identifies the underlying error for 401 on /splits-next.", + "X-Error-Code-splits-401": { + "description": "A string that identifies the underlying error for 401 on /splits.", @@ -49,2 +49,2 @@ - "X-Error-Code-splits-next-404": { - "description": "A string that identifies the underlying error for 404 on /splits-next.", + "X-Error-Code-splits-404": { + "description": "A string that identifies the underlying error for 404 on /splits.", @@ -75,2 +75,2 @@ - "X-Error-Code-splits-next-422": { - "description": "A string that identifies the underlying error for 422 on /splits-next.", + "X-Error-Code-splits-422": { + "description": "A string that identifies the underlying error for 422 on /splits.", @@ -89,2 +89,2 @@ - "X-Error-Code-splits-next-500": { - "description": "A string that identifies the underlying error for 500 on /splits-next.", + "X-Error-Code-splits-500": { + "description": "A string that identifies the underlying error for 500 on /splits.", @@ -225,2 +225,2 @@ - "X-Error-Code-valid-next-500": { - "description": "A string that identifies the underlying error for 500 on /valid-next.", + "X-Error-Code-valid-500": { + "description": "A string that identifies the underlying error for 500 on /valid.", @@ -239,2 +239,2 @@ - "X-Error-Code-is-valid-next-401": { - "description": "A string that identifies the underlying error for 401 on /is-valid-next.", + "X-Error-Code-is-valid-401": { + "description": "A string that identifies the underlying error for 401 on /is-valid.", @@ -253,2 +253,2 @@ - "X-Error-Code-is-valid-next-404": { - "description": "A string that identifies the underlying error for 404 on /is-valid-next.", + "X-Error-Code-is-valid-404": { + "description": "A string that identifies the underlying error for 404 on /is-valid.", @@ -267,2 +267,2 @@ - "X-Error-Code-is-valid-next-422": { - "description": "A string that identifies the underlying error for 422 on /is-valid-next.", + "X-Error-Code-is-valid-422": { + "description": "A string that identifies the underlying error for 422 on /is-valid.", @@ -281,2 +281,2 @@ - "X-Error-Code-is-valid-next-500": { - "description": "A string that identifies the underlying error for 500 on /is-valid-next.", + "X-Error-Code-is-valid-500": { + "description": "A string that identifies the underlying error for 500 on /is-valid.", @@ -297,4 +296,0 @@ - "HealthCheckResponse": { - "type": "string", - "example": "ok" - }, @@ -357,51 +352,0 @@ - "Status400ErrorContent": { - "type": "object", - "required": ["error"], - "properties": { - "error": { - "type": "string" - }, - "cause_exception": { - "type": "string" - }, - "cause_message": { - "type": "string" - }, - "cause_traceback": { - "type": "string" - } - } - }, - "Status500ErrorContent": { - "type": "object", - "required": ["error"], - "properties": { - "error": { - "type": "string" - } - } - }, - "StatusErrorContent": { - "type": "object", - "required": ["status_code", "exception", "message"], - "properties": { - "status_code": { - "type": "integer" - }, - "exception": { - "type": "string" - }, - "message": { - "type": "string" - }, - "cause_exception": { - "type": "string" - }, - "cause_message": { - "type": "string" - }, - "cause_traceback": { - "type": "string" - } - } - }, @@ -431,14 +375,0 @@ - "RowsResponse": { - "type": "object", - "required": ["columns", "rows"], - "properties": { - "columns": { - "type": "array", - "items": { "$ref": "#/components/schemas/ColumnItem" } - }, - "rows": { - "type": "array", - "items": { "$ref": "#/components/schemas/RowItem" } - } - } - }, @@ -697,1624 +628,12 @@ - }, - "ColumnItem": { - "type": "object", - "required": ["dataset", "config", "split", "column_idx", "column"], - "properties": { - "dataset": { - "type": "string" - }, - "config": { - "type": "string" - }, - "split": { - "type": "string" - }, - "column_idx": { - "type": "integer" - }, - "column": { - "$ref": "#/components/schemas/ColumnDict" - } - } - }, - "ColumnDict": { - "oneOf": [ - { "$ref": "#/components/schemas/CommonColumnDict" }, - { "$ref": "#/components/schemas/ClassLabelColumnDict" }, - { "$ref": "#/components/schemas/TimestampColumnDict" } - ], - "discriminator": { - "propertyName": "type" - } - }, - "CommonColumnDict": { - "type": "object", - "required": ["name", "type"], - "properties": { - "name": { - "type": "string" - }, - "type": { "$ref": "#/components/schemas/CommonColumnType" } - } - }, - "CommonColumnType": { - "type": "string", - "enum": [ - "JSON", - "BOOL", - "INT", - "FLOAT", - "STRING", - "IMAGE_URL", - "RELATIVE_IMAGE_URL", - "AUDIO_RELATIVE_SOURCES" - ] - }, - "ClassLabelColumnDict": { - "type": "object", - "required": ["name", "type", "labels"], - "properties": { - "name": { - "type": "string" - }, - "type": { "$ref": "#/components/schemas/ClassLabelColumnType" }, - "labels": { - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "ClassLabelColumnType": { - "type": "string", - "enum": ["CLASS_LABEL"] - }, - "TimestampColumnDict": { - "type": "object", - "required": ["name", "type", "unit", "tz"], - "properties": { - "name": { - "type": "string" - }, - "type": { "$ref": "#/components/schemas/TimestampColumnType" }, - "unit": { "type": "string" }, - "tz": { "type": "string", "nullable": true } - } - }, - "TimestampColumnType": { - "type": "string", - "enum": ["TIMESTAMP"] - }, - "RowItem": { - "type": "object", - "required": [ - "dataset", - "config", - "split", - "row_idx", - "row", - "truncated_cells" - ], - "properties": { - "dataset": { - "type": "string" - }, - "config": { - "type": "string" - }, - "split": { - "type": "string" - }, - "row_idx": { - "type": "integer" - }, - "row": { - "type": "object" - }, - "truncated_cells": { - "type": "array", - "items": { "type": "string" } - } - } - }, - "FirstRowItem": { - "type": "object", - "required": ["row_idx", "row", "truncated_cells"], - "properties": { - "row_idx": { - "type": "integer" - }, - "row": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Cell" - } - }, - "truncated_cells": { - "type": "array", - "items": { "type": "string" } - } - } - }, - "Cell": { - "oneOf": [ - { "$ref": "#/components/schemas/ValueCell" }, - { "$ref": "#/components/schemas/ClassLabelCell" }, - { "$ref": "#/components/schemas/Array2DCell" }, - { "$ref": "#/components/schemas/Array3DCell" }, - { "$ref": "#/components/schemas/Array4DCell" }, - { "$ref": "#/components/schemas/Array5DCell" }, - { "$ref": "#/components/schemas/TranslationCell" }, - { - "$ref": "#/components/schemas/TranslationVariableLanguagesCell" - }, - { - "$ref": "#/components/schemas/SequenceCell" - }, - { - "$ref": "#/components/schemas/DictCell" - }, - { - "$ref": "#/components/schemas/ListCell" - }, - { - "$ref": "#/components/schemas/AudioCell" - }, - { - "$ref": "#/components/schemas/ImageCell" - } - ] - }, - "ValueCell": { - "oneOf": [ - { "type": "boolean" }, - { "type": "integer" }, - { "type": "number" }, - { "type": "string" } - ], - "nullable": true - }, - "ClassLabelCell": { - "type": "integer" - }, - "Array2DCell": { - "type": "array", - "items": { - "type": "array", - "items": { - "type": "number" - } - } - }, - "Array3DCell": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Array2DCell" - } - }, - "Array4DCell": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Array3DCell" - } - }, - "Array5DCell": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Array4DCell" - } - }, - "TranslationCell": { - "type": "object", - "additionalProperties": { - "type": "string" - } - }, - "TranslationVariableLanguagesCell": { - "type": "object", - "required": ["language", "translation"], - "properties": { - "language": { - "type": "array", - "items": { - "type": "string" - } - }, - "translation": { - "type": "array", - "items": { - "type": "string" - } - } - } - }, - "SequenceCell": { - "oneOf": [ - { "$ref": "#/components/schemas/ListCell" }, - { "$ref": "#/components/schemas/DictionaryOfListsCell" } - ] - }, - "ListCell": { - "type": "array", - "items": { - "$ref": "#/components/schemas/Cell" - } - }, - "DictionaryOfListsCell": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/ListCell" - } - }, - "DictCell": { - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Cell" - } - }, - "AudioCell": { - "type": "array", - "items": { - "type": "object", - "properties": { - "src": { - "type": "string", - "format": "uri" - }, - "type": { - "type": "string", - "enum": ["audio/wav", "audio/mpeg"] - } - } - } - }, - "ImageCell": { - "type": "string", - "format": "uri" - }, - "ValidResponse": { - "type": "object", - "required": ["valid", "created_at"], - "properties": { - "valid": { - "type": "array", - "items": { "type": "string" } - }, - "created_at": { - "type": "string", - "format": "date-time" - } - } - }, - "ValidNextResponse": { - "type": "object", - "required": ["valid"], - "properties": { - "valid": { - "type": "array", - "items": { "type": "string" } - } - } - }, - "IsValidResponse": { - "type": "object", - "required": ["valid"], - "properties": { - "valid": { - "type": "boolean" - } - } - } - }, - "securitySchemes": { - "HuggingFaceCookie": { - "type": "apiKey", - "description": "The HuggingFace cookie. Get it by logging in to https://huggingface.co/. It can only be used from the huggingface.co domain, and can thus only be used by Hub features like the [dataset viewer](https://huggingface.co/docs/hub/datasets-viewer), for example.", - "name": "token", - "in": "cookie" - }, - "HuggingFaceToken": { - "type": "http", - "description": "The HuggingFace API token. Create a User Access Token with read access at https://huggingface.co/settings/tokens. You can also use an Organization API token. It gives access to the public datasets, and to the [gated datasets](https://huggingface.co/docs/hub/datasets-gated) for which you have accepted the conditions.", - "scheme": "bearer", - "bearerFormat": "A User Access Token is prefixed with `hf_`, while an Organization API token is prefixed with `api_org_`." - } - } - }, - "paths": { - "/healthcheck": { - "get": { - "summary": "Healthcheck", - "description": "An endpoint to check if the API is up.", - "operationId": "healthCheck", - "parameters": [], - "responses": { - "200": { - "description": "Valid response.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "text/plain": { - "schema": { - "$ref": "#/components/schemas/HealthCheckResponse" - }, - "examples": { - "valid": { - "summary": "Valid response", - "value": "ok" - } - } - } - } - }, - "500": { - "description": "The server crashed.", - "headers": {}, - "content": { - "text/plain": { - "schema": { - "$ref": "#/components/schemas/ServerErrorResponse" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Internal Server Error" - } - } - } - } - } - } - } - } - }, - "/splits": { - "get": { - "summary": "List of splits", - "description": "The list of splits of a dataset.", - "externalDocs": { - "description": "See Splits (Hub docs)", - "url": "https://huggingface.co/docs/datasets-server/splits" - }, - "operationId": "listSplits", - "parameters": [ - { - "name": "dataset", - "in": "query", - "description": "The identifier of the dataset on the Hub.", - "required": true, - "schema": { "type": "string" }, - "examples": { - "glue": { "summary": "a canonical dataset", "value": "glue" }, - "Helsinki-NLP/tatoeba_mt": { - "summary": "a namespaced dataset", - "value": "Helsinki-NLP/tatoeba_mt" - } - } - } - ], - "responses": { - "200": { - "description": "A list of splits.</br>Beware: the response is not paginated.", - "headers": { - "Cache-Control": { "$ref": "#/components/headers/Cache-Control" }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/SplitsResponse" - }, - "examples": { - "duorc": { - "summary": "duorc: two configs, six splits", - "value": { - "splits": [ - { - "dataset": "duorc", - "config": "SelfRC", - "split": "train", - "num_bytes": 239852925, - "num_examples": 60721 - }, - { - "dataset": "duorc", - "config": "SelfRC", - "split": "validation", - "num_bytes": 51662575, - "num_examples": 12961 - }, - { - "dataset": "duorc", - "config": "SelfRC", - "split": "test", - "num_bytes": 49142766, - "num_examples": 12559 - }, - { - "dataset": "duorc", - "config": "ParaphraseRC", - "split": "train", - "num_bytes": 496683105, - "num_examples": 69524 - }, - { - "dataset": "duorc", - "config": "ParaphraseRC", - "split": "validation", - "num_bytes": 106510545, - "num_examples": 15591 - }, - { - "dataset": "duorc", - "config": "ParaphraseRC", - "split": "test", - "num_bytes": 115215816, - "num_examples": 15857 - } - ] - } - }, - "emotion": { - "summary": "emotion: one config, three splits", - "value": { - "splits": [ - { - "dataset": "emotion", - "config": "default", - "split": "train", - "num_bytes": 1741541, - "num_examples": 16000 - }, - { - "dataset": "emotion", - "config": "default", - "split": "validation", - "num_bytes": 214699, - "num_examples": 2000 - }, - { - "dataset": "emotion", - "config": "default", - "split": "test", - "num_bytes": 217177, - "num_examples": 2000 - } - ] - } - } - } - } - } - }, - "400": { - "description": "The dataset has some issue that prevents extracting the list of splits.<br/>The error response should give insights to help fix the issue.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/StatusErrorContent" - }, - "examples": { - "TypeError": { - "summary": "TypeError", - "value": { - "status_code": 400, - "exception": "Status400Error", - "message": "Cannot get the split names for the dataset.", - "cause_exception": "TypeError", - "cause_message": "expected str, bytes or os.PathLike object, not NoneType", - "cause_traceback": [ - "Traceback (most recent call last):\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 354, in get_dataset_config_info\n for split_generator in builder._split_generators(\n", - " File \"/cache/modules/datasets_modules/datasets/superb/b8183f71eabe8c559d7f3f528ab37a6a21ad1ee088fd3423574cecad8b3ec67e/superb.py\", line 427, in _split_generators\n manual_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))\n", - " File \"/usr/local/lib/python3.9/posixpath.py\", line 231, in expanduser\n path = os.fspath(path)\n", - "TypeError: expected str, bytes or os.PathLike object, not NoneType\n", - "\nThe above exception was the direct cause of the following exception:\n\n", - "Traceback (most recent call last):\n", - " File \"/src/services/worker/src/worker/models/dataset.py\", line 16, in get_dataset_split_full_names\n return [\n", - " File \"/src/services/worker/src/worker/models/dataset.py\", line 21, in <listcomp>\n for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 404, in get_dataset_split_names\n info = get_dataset_config_info(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 359, in get_dataset_config_info\n raise SplitsNotFoundError(\"The split names could not be parsed from the dataset config.\") from err\n", - "datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.\n" - ] - } - }, - "FileNotFoundError": { - "summary": "FileNotFoundError", - "value": { - "status_code": 400, - "exception": "Status400Error", - "message": "Cannot get the split names for the dataset.", - "cause_exception": "FileNotFoundError", - "cause_message": "Couldn't find a dataset script at /src/services/worker/akhaliq/test/test.py or any data file in the same directory. Couldn't find 'akhaliq/test' on the Hugging Face Hub either: FileNotFoundError: The dataset repository at 'akhaliq/test' doesn't contain any data file.", - "cause_traceback": [ - "Traceback (most recent call last):\n", - " File \"/src/services/worker/src/worker/models/dataset.py\", line 18, in get_dataset_split_full_names\n for config_name in get_dataset_config_names(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py\", line 289, in get_dataset_config_names\n dataset_module = dataset_module_factory(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1189, in dataset_module_factory\n raise FileNotFoundError(\n", - "FileNotFoundError: Couldn't find a dataset script at /src/services/worker/akhaliq/test/test.py or any data file in the same directory. Couldn't find 'akhaliq/test' on the Hugging Face Hub either: FileNotFoundError: The dataset repository at 'akhaliq/test' doesn't contain any data file.\n" - ] - } - } - } - } - } - }, - "500": { - "description": "The server encountered an error.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/StatusErrorContent" - }, - "examples": { - "mongo": { - "summary": "internal error", - "value": { - "status_code": 500, - "exception": "Status500Error", - "message": "Tried to save duplicate unique keys (E11000 duplicate key error collection: datasets_server_cache.splits index: dataset_name_1_config_name_1_split_name_1 dup key: { dataset_name: \"csebuetnlp/xlsum\", config_name: \"chinese_traditional\", split_name: \"test\" }, full error: {'index': 0, 'code': 11000, 'keyPattern': {'dataset_name': 1, 'config_name': 1, 'split_name': 1}, 'keyValue': {'dataset_name': 'csebuetnlp/xlsum', 'config_name': 'chinese_traditional', 'split_name': 'test'}, 'errmsg': 'E11000 duplicate key error collection: datasets_server_cache.splits index: dataset_name_1_config_name_1_split_name_1 dup key: { dataset_name: \"csebuetnlp/xlsum\", config_name: \"chinese_traditional\", split_name: \"test\" }'})", - "cause_exception": "Status500Error", - "cause_message": "Tried to save duplicate unique keys (E11000 duplicate key error collection: datasets_server_cache.splits index: dataset_name_1_config_name_1_split_name_1 dup key: { dataset_name: \"csebuetnlp/xlsum\", config_name: \"chinese_traditional\", split_name: \"test\" }, full error: {'index': 0, 'code': 11000, 'keyPattern': {'dataset_name': 1, 'config_name': 1, 'split_name': 1}, 'keyValue': {'dataset_name': 'csebuetnlp/xlsum', 'config_name': 'chinese_traditional', 'split_name': 'test'}, 'errmsg': 'E11000 duplicate key error collection: datasets_server_cache.splits index: dataset_name_1_config_name_1_split_name_1 dup key: { dataset_name: \"csebuetnlp/xlsum\", config_name: \"chinese_traditional\", split_name: \"test\" }'})" - } - } - } - }, - "text/plain": { - "schema": { - "$ref": "#/components/schemas/ServerErrorResponse" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Internal Server Error" - } - } - } - } - } - } - } - } - }, - "/rows": { - "get": { - "summary": "First rows of a split", - "description": "The list of the 100 first rows of a dataset split.", - "externalDocs": { - "description": "See First rows (Hub docs)", - "url": "https://huggingface.co/docs/datasets-server/rows" - }, - "operationId": "listRows", - "parameters": [ - { - "name": "dataset", - "in": "query", - "description": "The identifier of the dataset on the Hub.", - "required": true, - "schema": { "type": "string" }, - "examples": { - "glue": { "summary": "a canonical dataset", "value": "glue" }, - "Helsinki-NLP/tatoeba_mt": { - "summary": "a namespaced dataset", - "value": "Helsinki-NLP/tatoeba_mt" - } - } - }, - { - "name": "config", - "in": "query", - "description": "The dataset configuration (or subset).", - "required": true, - "schema": { "type": "string" }, - "examples": { - "cola": { - "summary": "a subset of the glue dataset", - "value": "cola" - }, - "yangdong/ecqa": { - "summary": "the default configuration given by the 🤗 Datasets library", - "value": "yangdong--ecqa" - } - } - }, - { - "name": "split", - "in": "query", - "description": "The split name.", - "required": true, - "schema": { "type": "string" }, - "examples": { - "train": { - "summary": "train split", - "value": "train" - }, - "test": { - "summary": "test split", - "value": "test" - }, - "validation": { - "summary": "validation split", - "value": "validation" - } - } - } - ], - "responses": { - "200": { - "description": "The columns, and the 100 first rows of the split.</br>Note: the response can be truncated (less rows, or truncated cell contents): see examples.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RowsResponse" - }, - "examples": { - "cola": { - "summary": "text, and label column (only 3 rows are shown for brevity)", - "value": { - "columns": [ - { - "dataset": "glue", - "config": "cola", - "split": "train", - "column_idx": 0, - "column": { "name": "sentence", "type": "STRING" } - }, - { - "dataset": "glue", - "config": "cola", - "split": "train", - "column_idx": 1, - "column": { - "name": "label", - "type": "CLASS_LABEL", - "labels": ["unacceptable", "acceptable"] - } - }, - { - "dataset": "glue", - "config": "cola", - "split": "train", - "column_idx": 2, - "column": { "name": "idx", "type": "INT" } - } - ], - "rows": [ - { - "dataset": "glue", - "config": "cola", - "split": "train", - "row_idx": 0, - "row": { - "sentence": "Our friends won't buy this analysis, let alone the next one we propose.", - "label": 1, - "idx": 0 - }, - "truncated_cells": [] - }, - { - "dataset": "glue", - "config": "cola", - "split": "train", - "row_idx": 1, - "row": { - "sentence": "One more pseudo generalization and I'm giving up.", - "label": 1, - "idx": 1 - }, - "truncated_cells": [] - }, - { - "dataset": "glue", - "config": "cola", - "split": "train", - "row_idx": 2, - "row": { - "sentence": "One more pseudo generalization or I'm giving up.", - "label": 1, - "idx": 2 - }, - "truncated_cells": [] - }, - { - "dataset": "glue", - "config": "cola", - "split": "train", - "row_idx": 3, - "row": { - "sentence": "The more we study verbs, the crazier they get.", - "label": 1, - "idx": 3 - }, - "truncated_cells": [] - } - ] - } - }, - "truncated": { - "summary": "truncated cells due to the response size (has a timestamp column)", - "value": { - "columns": [ - { - "dataset": "ett", - "config": "m2", - "split": "test", - "column_idx": 0, - "column": { - "name": "start", - "type": "TIMESTAMP", - "tz": null, - "unit": "s" - } - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "column_idx": 1, - "column": { "name": "target", "type": "JSON" } - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "column_idx": 2, - "column": { - "name": "feat_static_cat", - "type": "JSON" - } - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "column_idx": 3, - "column": { - "name": "feat_dynamic_real", - "type": "JSON" - } - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "column_idx": 4, - "column": { "name": "item_id", "type": "STRING" } - } - ], - "rows": [ - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 0, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 1, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 2, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 3, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 4, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 5, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 6, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 7, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 8, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 9, - "row": { - "start": 1467331200.0, - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - } - ] - } - }, - "image": { - "summary": "a column with images (only 3 rows are shown for brevity)", - "value": { - "columns": [ - { - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", - "column_idx": 0, - "column": { - "name": "imageA", - "type": "RELATIVE_IMAGE_URL" - } - }, - { - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", - "column_idx": 1, - "column": { - "name": "imageB", - "type": "RELATIVE_IMAGE_URL" - } - } - ], - "rows": [ - { - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", - "row_idx": 0, - "row": { - "imageA": "assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageA/image.jpg", - "imageB": "assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageB/image.jpg" - }, - "truncated_cells": [] - }, - { - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", - "row_idx": 1, - "row": { - "imageA": "assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageA/image.jpg", - "imageB": "assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageB/image.jpg" - }, - "truncated_cells": [] - }, - { - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", - "row_idx": 2, - "row": { - "imageA": "assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageA/image.jpg", - "imageB": "assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageB/image.jpg" - }, - "truncated_cells": [] - } - ] - } - }, - "audio": { - "summary": "a column with audio files (only 3 rows are shown for brevity)", - "value": { - "columns": [ - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 0, - "column": { "name": "client_id", "type": "STRING" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 1, - "column": { "name": "path", "type": "STRING" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 2, - "column": { - "name": "audio", - "type": "AUDIO_RELATIVE_SOURCES" - } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 3, - "column": { "name": "sentence", "type": "STRING" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 4, - "column": { "name": "up_votes", "type": "INT" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 5, - "column": { "name": "down_votes", "type": "INT" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 6, - "column": { "name": "age", "type": "STRING" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 7, - "column": { "name": "gender", "type": "STRING" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 8, - "column": { "name": "accent", "type": "STRING" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 9, - "column": { "name": "locale", "type": "STRING" } - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "column_idx": 10, - "column": { "name": "segment", "type": "STRING" } - } - ], - "rows": [ - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "row_idx": 0, - "row": { - "client_id": "04960d53cc851eeb6d93f21a09e09ab36fe16943acb226ced1211d7250ab2f1b9a1d655c1cc03d50006e396010851ad52d4c53f49dd77b080b01c4230704c68d", - "path": null, - "audio": [ - { - "src": "assets/mozilla-foundation/common_voice_9_0/--/en/train/0/audio/audio.mp3", - "type": "audio/mpeg" - }, - { - "src": "assets/mozilla-foundation/common_voice_9_0/--/en/train/0/audio/audio.wav", - "type": "audio/wav" - } - ], - "sentence": "Why does Melissandre look like she wants to consume Jon Snow on the ride up the wall?", - "up_votes": 2, - "down_votes": 0, - "age": "fourties", - "gender": "male", - "accent": "United States English", - "locale": "en", - "segment": "" - }, - "truncated_cells": [] - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "row_idx": 1, - "row": { - "client_id": "f9f1f96bae1390dfe61ff298abb90975c079e913c712d57d97307ed797469eac446abb149daaad24cacffcc24e1e3275fefeb97f977eb74ce2233e0e5c1d437e", - "path": null, - "audio": [ - { - "src": "assets/mozilla-foundation/common_voice_9_0/--/en/train/1/audio/audio.mp3", - "type": "audio/mpeg" - }, - { - "src": "assets/mozilla-foundation/common_voice_9_0/--/en/train/1/audio/audio.wav", - "type": "audio/wav" - } - ], - "sentence": "\"I'm getting them for twelve dollars a night.\"", - "up_votes": 2, - "down_votes": 0, - "age": "", - "gender": "", - "accent": "", - "locale": "en", - "segment": "" - }, - "truncated_cells": [] - }, - { - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", - "row_idx": 2, - "row": { - "client_id": "a6c7706a220eeea7ee3687c1122fe7ac17962d2449d25b6db37cc41cdaace442683e11945b6f581e73941c3083cd4eecfafc938840459cd8c571dae7774ee687", - "path": null, - "audio": [ - { - "src": "assets/mozilla-foundation/common_voice_9_0/--/en/train/2/audio/audio.mp3", - "type": "audio/mpeg" - }, - { - "src": "assets/mozilla-foundation/common_voice_9_0/--/en/train/2/audio/audio.wav", - "type": "audio/wav" - } - ], - "sentence": "Tower of strength", - "up_votes": 2, - "down_votes": 0, - "age": "", - "gender": "", - "accent": "", - "locale": "en", - "segment": "" - }, - "truncated_cells": [] - } - ] - } - } - } - } - } - }, - "400": { - "description": "The dataset has some issue that prevents extracting the list of rows.<br/>The error response should give insights to help fix the issue.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/StatusErrorContent" - }, - "examples": { - "NonMatchingCheckError": { - "summary": "NonMatchingCheckError", - "value": { - "status_code": 400, - "exception": "Status400Error", - "message": "Cannot get the first rows for the split.", - "cause_exception": "NonMatchingChecksumError", - "cause_message": "Checksums didn't match for dataset source files:\n['https://gitlab.com/bigirqu/ArCOV-19/-/archive/master/ArCOV-19-master.zip']", - "cause_traceback": [ - "Traceback (most recent call last):\n", - " File \"/src/services/worker/src/worker/models/split.py\", line 180, in get_split\n rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 40, in get_rows\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 599, in __iter__\n for key, example in self._iter():\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 579, in _iter\n yield from ex_iterable\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 110, in __iter__\n yield from self.generate_examples_fn(**self.kwargs)\n", - " File \"/cache/modules/datasets_modules/datasets/ar_cov19/818d9b774f4b70542b6807e6ddb6db32c916aafeba4fbdcd228ec79d21edaeab/ar_cov19.py\", line 131, in _generate_examples\n for fname in sorted(glob.glob(os.path.join(data_dir, \"ArCOV-19-master/dataset/all_tweets/2020-*\"))):\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py\", line 67, in wrapper\n return function(*args, use_auth_token=use_auth_token, **kwargs)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 500, in xglob\n fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py\", line 632, in get_fs_token_paths\n fs = filesystem(protocol, **inkwargs)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/registry.py\", line 262, in filesystem\n return cls(**storage_options)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py\", line 76, in __call__\n obj = super().__call__(*args, **kwargs)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/zip.py\", line 58, in __init__\n self.zip = zipfile.ZipFile(self.fo)\n", - " File \"/usr/local/lib/python3.9/zipfile.py\", line 1257, in __init__\n self._RealGetContents()\n", - " File \"/usr/local/lib/python3.9/zipfile.py\", line 1320, in _RealGetContents\n endrec = _EndRecData(fp)\n", - " File \"/usr/local/lib/python3.9/zipfile.py\", line 263, in _EndRecData\n fpin.seek(0, 2)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py\", line 684, in seek\n raise ValueError(\"Cannot seek streaming HTTP file\")\n", - "ValueError: Cannot seek streaming HTTP file\n", - "\nDuring handling of the above exception, another exception occurred:\n\n", - "Traceback (most recent call last):\n", - " File \"/src/services/worker/src/worker/models/split.py\", line 183, in get_split\n rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 27, in get_rows\n dataset = load_dataset(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1679, in load_dataset\n builder_instance.download_and_prepare(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py\", line 704, in download_and_prepare\n self._download_and_prepare(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py\", line 1221, in _download_and_prepare\n super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py\", line 775, in _download_and_prepare\n verify_checksums(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/info_utils.py\", line 40, in verify_checksums\n raise NonMatchingChecksumError(error_msg + str(bad_urls))\n", - "datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:\n['https://gitlab.com/bigirqu/ArCOV-19/-/archive/master/ArCOV-19-master.zip']\n" - ] - } - }, - "FileNotFoundError": { - "summary": "FileNotFoundError", - "value": { - "status_code": 400, - "exception": "Status400Error", - "message": "Cannot get the first rows for the split.", - "cause_exception": "FileNotFoundError", - "cause_message": "Couldn't find file at https://homes.cs.washington.edu/~msap/atomic/data/atomic_data.tgz", - "cause_traceback": [ - "Traceback (most recent call last):\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py\", line 391, in _info\n await _file_info(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py\", line 772, in _file_info\n r.raise_for_status()\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/aiohttp/client_reqrep.py\", line 1004, in raise_for_status\n raise ClientResponseError(\n", - "aiohttp.client_exceptions.ClientResponseError: 404, message='Not Found', url=URL('https://homes.cs.washington.edu/~msap/atomic/data/atomic_data.tgz')\n", - "\nThe above exception was the direct cause of the following exception:\n\n", - "Traceback (most recent call last):\n", - " File \"/src/services/worker/src/worker/models/split.py\", line 180, in get_split\n rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 40, in get_rows\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 599, in __iter__\n for key, example in self._iter():\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 579, in _iter\n yield from ex_iterable\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 110, in __iter__\n yield from self.generate_examples_fn(**self.kwargs)\n", - " File \"/cache/modules/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\", line 123, in _generate_examples\n for path, f in files:\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 732, in __iter__\n yield from self.generator(*self.args, **self.kwargs)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 759, in _iter_from_urlpath\n with xopen(urlpath, \"rb\", use_auth_token=use_auth_token) as f:\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 439, in xopen\n file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py\", line 141, in open\n out = self.__enter__()\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/core.py\", line 104, in __enter__\n f = self.fs.open(self.path, mode=mode)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/spec.py\", line 1037, in open\n f = self._open(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py\", line 340, in _open\n size = size or self.info(path, **kwargs)[\"size\"]\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py\", line 86, in wrapper\n return sync(self.loop, func, *args, **kwargs)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py\", line 66, in sync\n raise return_result\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/asyn.py\", line 26, in _runner\n result[0] = await coro\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/fsspec/implementations/http.py\", line 404, in _info\n raise FileNotFoundError(url) from exc\n", - "FileNotFoundError: https://homes.cs.washington.edu/~msap/atomic/data/atomic_data.tgz\n", - "\nDuring handling of the above exception, another exception occurred:\n\n", - "Traceback (most recent call last):\n", - " File \"/src/services/worker/src/worker/models/split.py\", line 183, in get_split\n rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 27, in get_rows\n dataset = load_dataset(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1679, in load_dataset\n builder_instance.download_and_prepare(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py\", line 704, in download_and_prepare\n self._download_and_prepare(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py\", line 1221, in _download_and_prepare\n super()._download_and_prepare(dl_manager, verify_infos, check_duplicate_keys=verify_infos)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py\", line 771, in _download_and_prepare\n split_generators = self._split_generators(dl_manager, **split_generators_kwargs)\n", - " File \"/cache/modules/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\", line 95, in _split_generators\n archive = dl_manager.download(my_urls)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py\", line 309, in download\n downloaded_path_or_paths = map_nested(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 348, in map_nested\n return function(data_struct)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/download_manager.py\", line 335, in _download\n return cached_path(url_or_filename, download_config=download_config)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py\", line 185, in cached_path\n output_path = get_from_cache(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py\", line 530, in get_from_cache\n raise FileNotFoundError(f\"Couldn't find file at {url}\")\n", - "FileNotFoundError: Couldn't find file at https://homes.cs.washington.edu/~msap/atomic/data/atomic_data.tgz\n" - ] - } - } - } - } - } - }, - "500": { - "description": "The server encountered an error.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/StatusErrorContent" - }, - "examples": { - "mongo": { - "summary": "internal error", - "value": { - "status_code": 500, - "exception": "Status500Error", - "message": "could not store the rows/ cache entry.", - "cause_exception": "DocumentTooLarge", - "cause_message": "'update' command document too large", - "cause_traceback": [ - "Traceback (most recent call last):\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libcache/cache.py\", line 245, in upsert_split\n DbSplit.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).upsert_one(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py\", line 606, in upsert_one\n atomic_update = self.update(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py\", line 578, in update\n result = update_func(query, update, upsert=upsert)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/collection.py\", line 1028, in update_one\n self._update_retryable(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/collection.py\", line 877, in _update_retryable\n return self.__database.client._retryable_write(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/mongo_client.py\", line 1552, in _retryable_write\n return self._retry_with_session(retryable, func, s, None)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/mongo_client.py\", line 1438, in _retry_with_session\n return self._retry_internal(retryable, func, session, bulk)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/mongo_client.py\", line 1470, in _retry_internal\n return func(session, sock_info, retryable)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/collection.py\", line 869, in _update\n return self._update(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/collection.py\", line 838, in _update\n result = sock_info.command(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/pool.py\", line 726, in command\n self._raise_connection_failure(error)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/pool.py\", line 710, in command\n return command(self, dbname, spec, secondary_ok,\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/network.py\", line 136, in command\n message._raise_document_too_large(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/message.py\", line 1140, in _raise_document_too_large\n raise DocumentTooLarge(\"%r command document too large\" % (operation,))\n", - "pymongo.errors.DocumentTooLarge: 'update' command document too large\n" - ] - } - } - } - }, - "text/plain": { - "schema": { - "$ref": "#/components/schemas/ServerErrorResponse" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Internal Server Error" - } - } - } - } - } - } - } - } - }, - "/valid": { - "get": { - "summary": "Valid datasets", - "description": "The list of the Hub datasets that work without an error (for /splits and /rows).", - "externalDocs": { - "description": "See Valid datasets (Hub docs)", - "url": "https://huggingface.co/docs/datasets-server/valid" - }, - "operationId": "listValidDatasets", - "parameters": [], - "responses": { - "200": { - "description": "The valid datasets.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ValidResponse" - }, - "examples": { - "valid": { - "summary": "list of datasets", - "value": { - "valid": [ - "0n1xus/codexglue", - "0n1xus/pytorrent-standalone", - "0x7194633/rupile", - "51la5/keyword-extraction", - "AHussain0418/day2_data" - ], - "created_at": "2022-06-28T16:04:24Z" - } - } - } - } - } - }, - "500": { - "description": "The server crashed.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code-valid-next-500" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Unexpected error." - } - } - } - }, - "text/plain": { - "schema": { - "$ref": "#/components/schemas/ServerErrorResponse" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Internal Server Error" - } - } - } - } - } - } - } - } - }, - "/is-valid": { - "get": { - "summary": "Check if a dataset is valid (experimental)", - "description": "Check if a dataset works without an error (for /splits and /rows).", - "externalDocs": { - "description": "See Valid datasets (Hub docs)", - "url": "https://huggingface.co/docs/datasets-server/valid" - }, - "operationId": "isValidDataset", - "security": [ - {}, - { - "HuggingFaceCookie": [] - }, - { - "HuggingFaceToken": [] - } - ], - "parameters": [ - { - "name": "dataset", - "in": "query", - "description": "The identifier of the dataset on the Hub.", - "required": true, - "schema": { "type": "string" }, - "examples": { - "glue": { "summary": "a canonical dataset", "value": "glue" }, - "Helsinki-NLP/tatoeba_mt": { - "summary": "a namespaced dataset", - "value": "Helsinki-NLP/tatoeba_mt" - } - } - } - ], - "responses": { - "200": { - "description": "The valid datasets.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/IsValidResponse" - }, - "examples": { - "valid": { - "summary": "valid dataset", - "value": { - "valid": true - } - }, - "invalid": { - "summary": "invalid dataset", - "value": { - "valid": false - } - } - } - } - } - }, - "401": { - "description": "If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code-is-valid-next-401" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "inexistent-dataset": { - "summary": "The dataset does not exist.", - "value": { - "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." - } - }, - "gated-dataset": { - "summary": "The dataset is gated.", - "value": { - "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." - } - }, - "private-dataset": { - "summary": "The dataset is private.", - "value": { - "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." - } - } - } - } - } - }, - "404": { - "description": "If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code-is-valid-next-404" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "inexistent-dataset": { - "summary": "The dataset does not exist, while authentication was provided in the request.", - "value": { - "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." - } - }, - "gated-dataset": { - "summary": "The dataset is private, while authentication was provided in the request.", - "value": { - "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." - } - }, - "private-dataset": { - "summary": "The dataset is private, while authentication was provided in the request.", - "value": { - "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." - } - } - } - } + }, + "FirstRowItem": { + "type": "object", + "required": ["row_idx", "row", "truncated_cells"], + "properties": { + "row_idx": { + "type": "integer" + }, + "row": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Cell" @@ -2323,29 +642,88 @@ - "422": { - "description": "The `dataset` parameter has not been provided.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code-is-valid-next-422" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "missing-parameter": { - "summary": "The dataset parameter is missing.", - "value": { "error": "Parameter 'dataset' is required" } - }, - "empty-parameter": { - "summary": "The dataset parameter is empty (?dataset=).", - "value": { "error": "Parameter 'dataset' is required" } - } - } - } + "truncated_cells": { + "type": "array", + "items": { "type": "string" } + } + } + }, + "Cell": { + "oneOf": [ + { "$ref": "#/components/schemas/ValueCell" }, + { "$ref": "#/components/schemas/ClassLabelCell" }, + { "$ref": "#/components/schemas/Array2DCell" }, + { "$ref": "#/components/schemas/Array3DCell" }, + { "$ref": "#/components/schemas/Array4DCell" }, + { "$ref": "#/components/schemas/Array5DCell" }, + { "$ref": "#/components/schemas/TranslationCell" }, + { + "$ref": "#/components/schemas/TranslationVariableLanguagesCell" + }, + { + "$ref": "#/components/schemas/SequenceCell" + }, + { + "$ref": "#/components/schemas/DictCell" + }, + { + "$ref": "#/components/schemas/ListCell" + }, + { + "$ref": "#/components/schemas/AudioCell" + }, + { + "$ref": "#/components/schemas/ImageCell" + } + ] + }, + "ValueCell": { + "oneOf": [ + { "type": "boolean" }, + { "type": "integer" }, + { "type": "number" }, + { "type": "string" } + ], + "nullable": true + }, + "ClassLabelCell": { + "type": "integer" + }, + "Array2DCell": { + "type": "array", + "items": { + "type": "array", + "items": { + "type": "number" + } + } + }, + "Array3DCell": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Array2DCell" + } + }, + "Array4DCell": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Array3DCell" + } + }, + "Array5DCell": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Array4DCell" + } + }, + "TranslationCell": { + "type": "object", + "additionalProperties": { + "type": "string" + } + }, + "TranslationVariableLanguagesCell": { + "type": "object", + "required": ["language", "translation"], + "properties": { + "language": { + "type": "array", + "items": { + "type": "string" @@ -2354,12 +732,40 @@ - "500": { - "description": "The server crashed.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code-is-valid-next-500" - } + "translation": { + "type": "array", + "items": { + "type": "string" + } + } + } + }, + "SequenceCell": { + "oneOf": [ + { "$ref": "#/components/schemas/ListCell" }, + { "$ref": "#/components/schemas/DictionaryOfListsCell" } + ] + }, + "ListCell": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Cell" + } + }, + "DictionaryOfListsCell": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/ListCell" + } + }, + "DictCell": { + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Cell" + } + }, + "AudioCell": { + "type": "array", + "items": { + "type": "object", + "properties": { + "src": { + "type": "string", + "format": "uri" @@ -2367,27 +773,3 @@ - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Unexpected error." - } - } - } - }, - "text/plain": { - "schema": { - "$ref": "#/components/schemas/ServerErrorResponse" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Internal Server Error" - } - } - } - } + "type": { + "type": "string", + "enum": ["audio/wav", "audio/mpeg"] @@ -2396,0 +779,23 @@ + }, + "ImageCell": { + "type": "string", + "format": "uri" + }, + "ValidResponse": { + "type": "object", + "required": ["valid"], + "properties": { + "valid": { + "type": "array", + "items": { "type": "string" } + } + } + }, + "IsValidResponse": { + "type": "object", + "required": ["valid"], + "properties": { + "valid": { + "type": "boolean" + } + } @@ -2399 +804,17 @@ - "/splits-next": { + "securitySchemes": { + "HuggingFaceCookie": { + "type": "apiKey", + "description": "The HuggingFace cookie. Get it by logging in to https://huggingface.co/. It can only be used from the huggingface.co domain, and can thus only be used by Hub features like the [dataset viewer](https://huggingface.co/docs/hub/datasets-viewer), for example.", + "name": "token", + "in": "cookie" + }, + "HuggingFaceToken": { + "type": "http", + "description": "The HuggingFace API token. Create a User Access Token with read access at https://huggingface.co/settings/tokens. You can also use an Organization API token. It gives access to the public datasets, and to the [gated datasets](https://huggingface.co/docs/hub/datasets-gated) for which you have accepted the conditions.", + "scheme": "bearer", + "bearerFormat": "A User Access Token is prefixed with `hf_`, while an Organization API token is prefixed with `api_org_`." + } + } + }, + "paths": { + "/splits": { @@ -2401 +822 @@ - "summary": "List of splits (experimental)", + "summary": "List of splits", @@ -2407 +828 @@ - "operationId": "listSplitsNext", + "operationId": "listSplits", @@ -2539 +960 @@ - "$ref": "#/components/headers/X-Error-Code-splits-next-401" + "$ref": "#/components/headers/X-Error-Code-splits-401" @@ -2580 +1001 @@ - "$ref": "#/components/headers/X-Error-Code-splits-next-404" + "$ref": "#/components/headers/X-Error-Code-splits-404" @@ -2621 +1042 @@ - "$ref": "#/components/headers/X-Error-Code-splits-next-422" + "$ref": "#/components/headers/X-Error-Code-splits-422" @@ -2652 +1073 @@ - "$ref": "#/components/headers/X-Error-Code-splits-next-500" + "$ref": "#/components/headers/X-Error-Code-splits-500" @@ -3552 +1973 @@ - "/valid-next": { + "/valid": { @@ -3555 +1976 @@ - "description": "The list of the Hub datasets that work without an error (for /splits-next and /first-rows).", + "description": "The list of the Hub datasets that work without an error (for /splits and /first-rows).", @@ -3560 +1981 @@ - "operationId": "listValidDatasetsNext", + "operationId": "listValidDatasets", @@ -3576 +1997 @@ - "$ref": "#/components/schemas/ValidNextResponse" + "$ref": "#/components/schemas/ValidResponse" @@ -3605 +2026 @@ - "$ref": "#/components/headers/X-Error-Code-valid-next-500" + "$ref": "#/components/headers/X-Error-Code-valid-500" @@ -3640 +2061 @@ - "/is-valid-next": { + "/is-valid": { @@ -3643 +2064 @@ - "description": "Check if a dataset works without an error (for /splits-next and /first-rows).", + "description": "Check if a dataset works without an error (for /splits and /first-rows).", @@ -3648 +2069 @@ - "operationId": "isValidDatasetNext", + "operationId": "isValidDataset", @@ -3717 +2138 @@ - "$ref": "#/components/headers/X-Error-Code-is-valid-next-401" + "$ref": "#/components/headers/X-Error-Code-is-valid-401" @@ -3758 +2179 @@ - "$ref": "#/components/headers/X-Error-Code-is-valid-next-404" + "$ref": "#/components/headers/X-Error-Code-is-valid-404" @@ -3799 +2220 @@ - "$ref": "#/components/headers/X-Error-Code-is-valid-next-422" + "$ref": "#/components/headers/X-Error-Code-is-valid-422" @@ -3830 +2251 @@ - "$ref": "#/components/headers/X-Error-Code-is-valid-next-500" + "$ref": "#/components/headers/X-Error-Code-is-valid-500" diff --git a/chart/templates/_helpers.tpl b/chart/templates/_helpers.tpl index 07ac6645..833fcc2c 100644 --- a/chart/templates/_helpers.tpl +++ b/chart/templates/_helpers.tpl @@ -60,5 +59,0 @@ app: "{{ include "release" . }}-worker-splits" -{{- define "labels.worker.rows" -}} -{{ include "labels" . }} -app: "{{ include "release" . }}-worker-rows" -{{- end -}} - @@ -70,5 +64,0 @@ app: "{{ include "release" . }}-worker-first-rows" -{{- define "labels.worker.splitsNext" -}} -{{ include "labels" . }} -app: "{{ include "release" . }}-worker-splits-next" -{{- end -}} - diff --git a/chart/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl index 6fc1eb00..ee99e06b 100644 --- a/chart/templates/worker/first-rows/_container.tpl +++ b/chart/templates/worker/first-rows/_container.tpl @@ -66 +66 @@ - # Job queue the worker will pull jobs from: 'datasets' or 'splits' + # Job queue the worker will pull jobs from: 'splits_responses' or 'first_rows_responses' diff --git a/chart/templates/worker/rows/_container.tpl b/chart/templates/worker/rows/_container.tpl deleted file mode 100644 index 82d8cbfa..00000000 --- a/chart/templates/worker/rows/_container.tpl +++ /dev/null @@ -1,99 +0,0 @@ -{{- define "containerWorkerRows" -}} -- name: "{{ include "name" . }}-worker-rows" - env: - - name: ASSETS_BASE_URL - value: "{{ include "assets.baseUrl" . }}" - - name: ASSETS_DIRECTORY - value: {{ .Values.worker.rows.assetsDirectory | quote }} - - name: DATASETS_REVISION - value: {{ .Values.worker.rows.datasetsRevision | quote }} - - name: HF_DATASETS_CACHE - value: "{{ .Values.worker.rows.cacheDirectory }}/datasets" - - name: HF_ENDPOINT - value: "{{ .Values.hfEndpoint }}" - # note: HF_MODULES_CACHE is not set to a shared directory - - name: HF_MODULES_CACHE - value: "/tmp/modules-cache" - # the size should remain so small that we don't need to worry about putting it on an external storage - # see https://github.com/huggingface/datasets-server/issues/248 - - name: HF_TOKEN - # see https://kubernetes.io/docs/concepts/configuration/secret/#creating-a-secret - # and https://kubernetes.io/docs/concepts/configuration/secret/#using-secrets-as-environment-variables - valueFrom: - secretKeyRef: - name: {{ .Values.secrets.hfToken | quote }} - key: HF_TOKEN - optional: false - - name: LOG_LEVEL - value: {{ .Values.worker.rows.logLevel | quote }} - - name: MAX_JOB_RETRIES - value: {{ .Values.worker.rows.maxJobRetries | quote }} - - name: MAX_JOBS_PER_DATASET - value: {{ .Values.worker.rows.maxJobsPerDataset | quote }} - - name: MAX_LOAD_PCT - value: {{ .Values.worker.rows.maxLoadPct | quote }} - - name: MAX_MEMORY_PCT - value: {{ .Values.worker.rows.maxMemoryPct | quote }} - - name: MAX_SIZE_FALLBACK - value: {{ .Values.worker.rows.maxSizeFallback | quote }} - - name: MIN_CELL_BYTES - value: {{ .Values.worker.rows.minCellBytes | quote }} - - name: MONGO_CACHE_DATABASE - value: {{ .Values.mongodb.cacheDatabase | quote }} - - name: MONGO_QUEUE_DATABASE - value: {{ .Values.mongodb.queueDatabase | quote }} - - name: MONGO_URL - {{- if .Values.mongodb.enabled }} - value: mongodb://{{.Release.Name}}-mongodb - {{- else }} - valueFrom: - secretKeyRef: - name: {{ .Values.secrets.mongoUrl | quote }} - key: MONGO_URL - optional: false - {{- end }} - - name: NUMBA_CACHE_DIR - value: {{ .Values.worker.rows.numbaCacheDirectory | quote }} - - name: ROWS_MAX_BYTES - value: {{ .Values.worker.rows.rowsMaxBytes | quote }} - - name: ROWS_MAX_NUMBER - value: {{ .Values.worker.rows.rowsMaxNumber | quote }} - - name: ROWS_MIN_NUMBER - value: {{ .Values.worker.rows.rowsMinNumber| quote }} - - name: WORKER_SLEEP_SECONDS - value: {{ .Values.worker.rows.workerSleepSeconds | quote }} - - name: WORKER_QUEUE - # Job queue the worker will pull jobs from: - # Note that the names might be confusing but have a historical reason - # /splits -> 'datasets', /rows -> 'splits' - value: "splits" - image: {{ .Values.dockerImage.worker.rows }} - imagePullPolicy: IfNotPresent - volumeMounts: - - mountPath: {{ .Values.worker.rows.assetsDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "assets.subpath" . }}" - readOnly: false - - mountPath: {{ .Values.worker.rows.cacheDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "cache.datasets.subpath" . }}" - readOnly: false - - mountPath: {{ .Values.worker.rows.numbaCacheDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "cache.numba.subpath" . }}" - readOnly: false - securityContext: - allowPrivilegeEscalation: false - # TODO: provide readiness and liveness probes - # readinessProbe: - # tcpSocket: - # port: {{ .Values.worker.rows.readinessPort }} - # livenessProbe: - # tcpSocket: - # port: {{ .Values.worker.rows.readinessPort }} - resources: - {{ toYaml .Values.worker.rows.resources | nindent 4 }} -{{- end -}} diff --git a/chart/templates/worker/rows/deployment.yaml b/chart/templates/worker/rows/deployment.yaml deleted file mode 100644 index ec8a8c97..00000000 --- a/chart/templates/worker/rows/deployment.yaml +++ /dev/null @@ -1,40 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - labels: - {{ include "labels.worker.rows" . | nindent 4 }} - name: "{{ include "release" . }}-worker-rows" - namespace: {{ .Release.Namespace }} -spec: - progressDeadlineSeconds: 600 - replicas: {{ .Values.worker.rows.replicas }} - revisionHistoryLimit: 10 - selector: - matchLabels: - {{ include "labels.worker.rows" . | nindent 6 }} - strategy: - type: Recreate - template: - metadata: - labels: - {{ include "labels.worker.rows" . | nindent 8 }} - spec: - initContainers: - {{ include "initContainerAssets" . | nindent 8 }} - {{ include "initContainerCache" . | nindent 8 }} - {{ include "initContainerNumbaCache" . | nindent 8 }} - containers: - {{ include "containerWorkerRows" . | nindent 8 }} - nodeSelector: - {{ toYaml .Values.worker.rows.nodeSelector | nindent 8 }} - tolerations: - {{ toYaml .Values.worker.rows.tolerations | nindent 8 }} - volumes: - - name: nfs - nfs: - server: {{ .Values.storage.nfs.server }} - path: {{ .Values.storage.nfs.path }} - securityContext: - runAsUser: {{ .Values.uid }} - runAsGroup: {{ .Values.gid }} - runAsNonRoot: true diff --git a/chart/templates/worker/splits-next/_container.tpl b/chart/templates/worker/splits-next/_container.tpl deleted file mode 100644 index f46cbe16..00000000 --- a/chart/templates/worker/splits-next/_container.tpl +++ /dev/null @@ -1,96 +0,0 @@ -{{- define "containerWorkerSplitsNext" -}} -- name: "{{ include "name" . }}-worker-splits-next" - env: - - name: ASSETS_BASE_URL - value: "{{ include "assets.baseUrl" . }}" - - name: ASSETS_DIRECTORY - value: {{ .Values.worker.splitsNext.assetsDirectory | quote }} - - name: DATASETS_REVISION - value: {{ .Values.worker.splitsNext.datasetsRevision | quote }} - - name: HF_DATASETS_CACHE - value: "{{ .Values.worker.splitsNext.cacheDirectory }}/datasets" - - name: HF_ENDPOINT - value: "{{ .Values.hfEndpoint }}" - - name: HF_MODULES_CACHE - value: "/tmp/modules-cache" - # the size should remain so small that we don't need to worry about putting it on an external storage - # see https://github.com/huggingface/datasets-server/issues/248 - - name: HF_TOKEN - # see https://kubernetes.io/docs/concepts/configuration/secret/#creating-a-secret - # and https://kubernetes.io/docs/concepts/configuration/secret/#using-secrets-as-environment-variables - valueFrom: - secretKeyRef: - name: {{ .Values.secrets.hfToken | quote }} - key: HF_TOKEN - optional: false - - name: LOG_LEVEL - value: {{ .Values.worker.splitsNext.logLevel | quote }} - - name: MAX_JOB_RETRIES - value: {{ .Values.worker.splitsNext.maxJobRetries | quote }} - - name: MAX_JOBS_PER_DATASET - value: {{ .Values.worker.splitsNext.maxJobsPerDataset | quote }} - - name: MAX_LOAD_PCT - value: {{ .Values.worker.splitsNext.maxLoadPct | quote }} - - name: MAX_MEMORY_PCT - value: {{ .Values.worker.splitsNext.maxMemoryPct | quote }} - - name: MAX_SIZE_FALLBACK - value: {{ .Values.worker.splitsNext.maxSizeFallback | quote }} - - name: MIN_CELL_BYTES - value: {{ .Values.worker.splitsNext.minCellBytes | quote }} - - name: MONGO_CACHE_DATABASE - value: {{ .Values.mongodb.cacheDatabase | quote }} - - name: MONGO_QUEUE_DATABASE - value: {{ .Values.mongodb.queueDatabase | quote }} - - name: MONGO_URL - {{- if .Values.mongodb.enabled }} - value: mongodb://{{.Release.Name}}-mongodb - {{- else }} - valueFrom: - secretKeyRef: - name: {{ .Values.secrets.mongoUrl | quote }} - key: MONGO_URL - optional: false - {{- end }} - - name: NUMBA_CACHE_DIR - value: {{ .Values.worker.splitsNext.numbaCacheDirectory | quote }} - - name: ROWS_MAX_BYTES - value: {{ .Values.worker.splitsNext.rowsMaxBytes | quote }} - - name: ROWS_MAX_NUMBER - value: {{ .Values.worker.splitsNext.rowsMaxNumber | quote }} - - name: ROWS_MIN_NUMBER - value: {{ .Values.worker.splitsNext.rowsMinNumber| quote }} - - name: WORKER_SLEEP_SECONDS - value: {{ .Values.worker.splitsNext.workerleepSeconds | quote }} - - name: WORKER_QUEUE - # Job queue the worker will pull jobs from: 'datasets' or 'splits' - value: "splits_responses" - image: {{ .Values.dockerImage.worker.splitsNext }} - imagePullPolicy: IfNotPresent - volumeMounts: - - mountPath: {{ .Values.worker.splitsNext.assetsDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "assets.subpath" . }}" - readOnly: false - - mountPath: {{ .Values.worker.splitsNext.cacheDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "cache.datasets.subpath" . }}" - readOnly: false - - mountPath: {{ .Values.worker.splitsNext.numbaCacheDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "cache.numba.subpath" . }}" - readOnly: false - securityContext: - allowPrivilegeEscalation: false - # TODO: provide readiness and liveness probes - # readinessProbe: - # tcpSocket: - # port: {{ .Values.worker.splitsNext.readinessPort }} - # livenessProbe: - # tcpSocket: - # port: {{ .Values.worker.splitsNext.readinessPort }} - resources: - {{ toYaml .Values.worker.splitsNext.resources | nindent 4 }} -{{- end -}} diff --git a/chart/templates/worker/splits-next/deployment.yaml b/chart/templates/worker/splits-next/deployment.yaml deleted file mode 100644 index 5063b62c..00000000 --- a/chart/templates/worker/splits-next/deployment.yaml +++ /dev/null @@ -1,40 +0,0 @@ -apiVersion: apps/v1 -kind: Deployment -metadata: - labels: - {{ include "labels.worker.splitsNext" . | nindent 4 }} - name: "{{ include "release" . }}-worker-splits-next" - namespace: {{ .Release.Namespace }} -spec: - progressDeadlineSeconds: 600 - replicas: {{ .Values.worker.splitsNext.replicas }} - revisionHistoryLimit: 10 - selector: - matchLabels: - {{ include "labels.worker.splitsNext" . | nindent 6 }} - strategy: - type: Recreate - template: - metadata: - labels: - {{ include "labels.worker.splitsNext" . | nindent 8 }} - spec: - initContainers: - {{ include "initContainerAssets" . | nindent 8 }} - {{ include "initContainerCache" . | nindent 8 }} - {{ include "initContainerNumbaCache" . | nindent 8 }} - containers: - {{ include "containerWorkerSplitsNext" . | nindent 8 }} - nodeSelector: - {{ toYaml .Values.worker.splitsNext.nodeSelector | nindent 8 }} - tolerations: - {{ toYaml .Values.worker.splitsNext.tolerations | nindent 8 }} - volumes: - - name: nfs - nfs: - server: {{ .Values.storage.nfs.server }} - path: {{ .Values.storage.nfs.path }} - securityContext: - runAsUser: {{ .Values.uid }} - runAsGroup: {{ .Values.gid }} - runAsNonRoot: true diff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl index bc4863ed..308b3ebf 100644 --- a/chart/templates/worker/splits/_container.tpl +++ b/chart/templates/worker/splits/_container.tpl @@ -8 +8 @@ - - name: splits_REVISION + - name: DATASETS_REVISION @@ -63 +63 @@ - value: {{ .Values.worker.splits.workerSleepSeconds | quote }} + value: {{ .Values.worker.splits.workerleepSeconds | quote }} @@ -65,4 +65,2 @@ - # Job queue the worker will pull jobs from: - # Note that the names might be confusing but have a historical reason - # /splits -> 'datasets', /rows -> 'splits' - value: "datasets" + # Job queue the worker will pull jobs from: 'splits_responses' or 'first_rows_responses' + value: "splits_responses" diff --git a/chart/values.yaml b/chart/values.yaml index 0f409722..b67ef4a7 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -20,2 +19,0 @@ dockerImage: - rows: "" - splits-next: "" @@ -111,86 +108,0 @@ worker: - resources: - requests: - cpu: 1 - limits: - cpu: 1 - nodeSelector: {} - tolerations: [] - - # Directory of assets (audio files and images that will be served for the web) - assetsDirectory: "/assets" - # Directory of the "datasets" library cache (for the datasets, not the modules) - cacheDirectory: "/cache" - # Git reference for the canonical datasets on https://github.com/huggingface/datasets - datasetsRevision: "main" - # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) - hfToken: "" - # Log level - logLevel: "INFO" - # Max number of job retries (for 500 errors) for the same job - maxJobRetries: 3 - # Maximum number of jobs running at the same time for the same dataset - maxJobsPerDataset: 1 - # Max CPU load (%) - if reached, sleeps until it comes back under the limit - maxLoadPct: 0 - # Max memory (RAM + SWAP) (%) - if reached, sleeps until it comes back under the limit - maxMemoryPct: 0 - # Max size (in bytes) of the dataset to fallback in normal mode if streaming fails - maxSizeFallback: "100_000_000" - # Min size of a cell in the /rows endpoint response in bytes - minCellBytes: 100 - # Directory of the "numba" library cache - numbaCacheDirectory: "/numba-cache" - # Max size of the /rows endpoint response in bytes - rowMaxBytes: "1_000_000" - # Max number of rows in the /rows endpoint response - rowsMaxNumber: 100 - # Min number of rows in the /rows endpoint response - rowsMinNumber: 10 - # Number of seconds a worker will sleep before trying to process a new job - workerSleepSeconds: 15 - - rows: - replicas: 1 - - resources: - requests: - cpu: 1 - limits: - cpu: 1 - nodeSelector: {} - tolerations: [] - - # Directory of assets (audio files and images that will be served for the web) - assetsDirectory: "/assets" - # Directory of the "datasets" library cache (for the datasets, not the modules) - cacheDirectory: "/cache" - # Git reference for the canonical datasets on https://github.com/huggingface/datasets - datasetsRevision: "main" - # Log level - logLevel: "INFO" - # Max number of job retries (for 500 errors) for the same job - maxJobRetries: 3 - # Maximum number of jobs running at the same time for the same dataset - maxJobsPerDataset: 1 - # Max CPU load (%) - if reached, sleeps until it comes back under the limit - maxLoadPct: 0 - # Max memory (RAM + SWAP) (%) - if reached, sleeps until it comes back under the limit - maxMemoryPct: 0 - # Max size (in bytes) of the dataset to fallback in normal mode if streaming fails - maxSizeFallback: "100_000_000" - # Min size of a cell in the /rows endpoint response in bytes - minCellBytes: 100 - # Directory of the "numba" library cache - numbaCacheDirectory: "/numba-cache" - # Max size of the /rows endpoint response in bytes - rowMaxBytes: "1_000_000" - # Max number of rows in the /rows endpoint response - rowsMaxNumber: 100 - # Min number of rows in the /rows endpoint response - rowsMinNumber: 10 - # Number of seconds a worker will sleep before trying to process a new job - workerSleepSeconds: 15 - - splitsNext: - replicas: 1 - diff --git a/deprecated/cancel_waiting_jobs.py b/deprecated/cancel_waiting_jobs.py deleted file mode 100644 index cd59c8ba..00000000 --- a/deprecated/cancel_waiting_jobs.py +++ /dev/null @@ -1,16 +0,0 @@ -import logging - -from libutils.logger import init_logger -from libqueue.queue import ( - cancel_waiting_dataset_jobs, - cancel_waiting_split_jobs, - connect_to_queue, -) - -if __name__ == "__main__": - init_logger("INFO", "cancel_waiting_jobs") - logger = logging.getLogger("cancel_waiting_jobs") - connect_to_queue() - cancel_waiting_dataset_jobs() - cancel_waiting_split_jobs() - logger.info("all the waiting jobs in the queues have been cancelled") diff --git a/deprecated/clean_cache.py b/deprecated/clean_cache.py deleted file mode 100644 index d71ba57c..00000000 --- a/deprecated/clean_cache.py +++ /dev/null @@ -1,11 +0,0 @@ -import logging - -from libcache.cache import clean_database, connect_to_cache -from libutils.logger import init_logger - -if __name__ == "__main__": - init_logger("INFO", "clean_cache") - logger = logging.getLogger("clean_cache") - connect_to_cache() - clean_database() - logger.info("the cache database is now empty") diff --git a/deprecated/clean_queues.py b/deprecated/clean_queues.py deleted file mode 100644 index 50e3270a..00000000 --- a/deprecated/clean_queues.py +++ /dev/null @@ -1,11 +0,0 @@ -import logging - -from libutils.logger import init_logger -from libqueue.queue import clean_database, connect_to_queue - -if __name__ == "__main__": - init_logger("INFO", "clean_queues") - logger = logging.getLogger("clean_queues") - connect_to_queue() - clean_database() - logger.info("the queue database is now empty") diff --git a/deprecated/force_refresh_cache.py b/deprecated/force_refresh_cache.py deleted file mode 100644 index cc1ace38..00000000 --- a/deprecated/force_refresh_cache.py +++ /dev/null @@ -1,26 +0,0 @@ -import logging - -from dotenv import load_dotenv - -from libcache.cache import connect_to_cache -from libutils.logger import init_logger -from libqueue.queue import add_dataset_job, connect_to_queue -from libmodels.hf_dataset import get_hf_dataset_names - -# Load environment variables defined in .env, if any -load_dotenv() - - -def force_refresh_cache() -> None: - logger = logging.getLogger("force_refresh_cache") - dataset_names = get_hf_dataset_names() - for dataset_name in dataset_names: - add_dataset_job(dataset_name) - logger.info(f"added {len(dataset_names)} jobs to refresh all the datasets") - - -if __name__ == "__main__": - init_logger("INFO", "force_refresh_cache") - connect_to_cache() - connect_to_queue() - force_refresh_cache() diff --git a/e2e/tests/test_10_healthcheck.py b/e2e/tests/test_10_healthcheck.py index 019ed427..ffbe1e8f 100644 --- a/e2e/tests/test_10_healthcheck.py +++ b/e2e/tests/test_10_healthcheck.py @@ -5 +5 @@ def test_healthcheck(): - # this tests ensures the nginx reverse proxy and the api are up + # this tests ensures the /healthcheck and the /metrics endpoints are hidden @@ -8,0 +9,4 @@ def test_healthcheck(): + + response = poll("/metrics", expected_code=404) + assert response.status_code == 404, f"{response.status_code} - {response.text}" + assert "Not Found" in response.text, response.text diff --git a/e2e/tests/test_20_splits_and_rows.py b/e2e/tests/test_20_splits_and_rows.py deleted file mode 100644 index 137356e0..00000000 --- a/e2e/tests/test_20_splits_and_rows.py +++ /dev/null @@ -1,98 +0,0 @@ -from .fixtures.hub import DatasetRepos -from .utils import ( - ROWS_MAX_NUMBER, - get, - get_default_config_split, - poll_rows, - poll_splits, - post, - post_refresh, - refresh_poll_splits_rows, -) - - -# TODO: find a dataset that can be processed faster -def test_bug_empty_split(hf_dataset_repos_csv_data: DatasetRepos): - # see #185 and #177 - # we get an error when: - # - the dataset has been processed and the splits have been created in the database - # - the splits have not been processed and are still in EMPTY status in the database - # - the dataset is processed again, and the splits are marked as STALE - # - they are thus returned with an empty content, instead of an error message - # (waiting for being processsed) - - dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data["public2"]) - - # ask for the dataset to be refreshed - response = post_refresh(dataset) - assert response.status_code == 200, f"{response.status_code} - {response.text}" - - # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." - response = poll_splits(dataset) - assert response.status_code == 200, f"{response.status_code} - {response.text}" - - # at this point the splits should have been created in the dataset, and still be EMPTY - response = get(f"/rows?dataset={dataset}&config={config}&split={split}") - assert response.status_code == 400, f"{response.status_code} - {response.text}" - json = response.json() - assert json["message"] == "The split is being processed. Retry later.", json - - # ask again for the dataset to be refreshed - response = post("/webhook", json={"update": f"datasets/{dataset}"}) - assert response.status_code == 200, f"{response.status_code} - {response.text}" - - # at this moment, there is a concurrency race between the datasets worker and the splits worker - # but the dataset worker should finish before, because it's faster on this dataset - # With the bug, if we polled again /rows until we have something else than "being processed", - # we would have gotten a valid response, but with empty rows, which is incorrect - # Now: it gives a correct list of elements - response = poll_rows(dataset, config, split) - assert response.status_code == 200, f"{response.status_code} - {response.text}" - json = response.json() - assert len(json["rows"]) == ROWS_MAX_NUMBER, json - - -def test_get_dataset(hf_dataset_repos_csv_data: DatasetRepos): - dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data["public2"]) - - r_splits, r_rows = refresh_poll_splits_rows(dataset, config, split) - assert r_splits.json()["splits"][0]["split"] == "train", r_splits.text - assert r_rows.json()["rows"][0]["row"]["col_1"] == 0, r_splits.text - - -# TODO: enable again when we will have the same behavior with 4 rows (ROWS_MAX_NUMBER) -# TODO: find a dataset that can be processed faster -# def test_png_image(): -# # this test ensures that an image is saved as PNG if it cannot be saved as PNG -# # https://github.com/huggingface/datasets-server/issues/191 -# dataset = "wikimedia/wit_base" -# config = "wikimedia--wit_base" -# split = "train" - -# _, r_rows = refresh_poll_splits_rows(dataset, config, split) - -# json = r_rows.json() -# assert json["columns"][0]["column"]["type"] == "RELATIVE_IMAGE_URL" -# assert ( -# json["rows"][0]["row"]["image"] == "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" -# ) -# assert ( -# json["rows"][20]["row"]["image"] == -# "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" -# ) - - -# TODO: enable this test (not sure why it fails) -# def test_timestamp_column(): -# # this test replicates the bug with the Timestamp values, https://github.com/huggingface/datasets/issues/4413 -# dataset = "ett" -# config = "h1" -# split = "train" -# _, r_rows = refresh_poll_splits_rows(dataset, config, split) -# json = r_rows.json() -# TRUNCATED_TO_ONE_ROW = 1 -# assert len(json["rows"]) == TRUNCATED_TO_ONE_ROW -# assert json["rows"][0]["row"]["start"] == 1467331200.0 -# assert json["columns"][0]["column"]["type"] == "TIMESTAMP" -# assert json["columns"][0]["column"]["unit"] == "s" -# assert json["columns"][0]["column"]["tz"] is None diff --git a/e2e/tests/test_30_auth.py b/e2e/tests/test_30_auth.py index 8a0037fb..1eea6f47 100644 --- a/e2e/tests/test_30_auth.py +++ b/e2e/tests/test_30_auth.py @@ -9 +9 @@ from .utils import ( - refresh_poll_splits_next, + refresh_poll_splits, @@ -19 +19 @@ def log(response: Response, dataset: str) -> str: - "type,auth,status_code,error_code_splits_next,error_code_first_rows", + "type,auth,status_code,error_code_splits,error_code_first_rows", @@ -32 +32 @@ def log(response: Response, dataset: str) -> str: -def test_splits_next_public_auth( +def test_split_public_auth( @@ -38 +38 @@ def test_splits_next_public_auth( - error_code_splits_next: str, + error_code_splits: str, @@ -49 +49 @@ def test_splits_next_public_auth( - get(f"/splits-next?dataset={dataset}", headers=auth_headers[auth]) + get(f"/splits?dataset={dataset}", headers=auth_headers[auth]) @@ -51 +51 @@ def test_splits_next_public_auth( - else refresh_poll_splits_next(dataset, headers=auth_headers[auth]) + else refresh_poll_splits(dataset, headers=auth_headers[auth]) @@ -54 +54 @@ def test_splits_next_public_auth( - assert r_splits.headers.get("X-Error-Code") == error_code_splits_next, log(r_splits, dataset) + assert r_splits.headers.get("X-Error-Code") == error_code_splits, log(r_splits, dataset) diff --git a/e2e/tests/test_40_splits_next.py b/e2e/tests/test_40_splits.py similarity index 80% rename from e2e/tests/test_40_splits_next.py rename to e2e/tests/test_40_splits.py index 35f75eb9..06bc68d3 100644 --- a/e2e/tests/test_40_splits_next.py +++ b/e2e/tests/test_40_splits.py @@ -8 +8 @@ from .utils import ( - refresh_poll_splits_next, + refresh_poll_splits, @@ -43,2 +43,2 @@ from .utils import ( -def test_splits_next(status: int, name: str, dataset: str, error_code: str): - body = get_openapi_body_example("/splits-next", status, name) +def test_splits(status: int, name: str, dataset: str, error_code: str): + body = get_openapi_body_example("/splits", status, name) @@ -47 +47 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - r_splits = poll("/splits-next?dataset=", error_field="error") + r_splits = poll("/splits?dataset=", error_field="error") @@ -49 +49 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - r_splits = poll("/splits-next", error_field="error") + r_splits = poll("/splits", error_field="error") @@ -53 +53 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - r_splits = get(f"/splits-next?dataset={dataset}") + r_splits = get(f"/splits?dataset={dataset}") @@ -55 +55 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - r_splits = refresh_poll_splits_next(dataset) + r_splits = refresh_poll_splits(dataset) diff --git a/e2e/tests/test_50_first_rows.py b/e2e/tests/test_50_first_rows.py index 3b8d9103..acac97cd 100644 --- a/e2e/tests/test_50_first_rows.py +++ b/e2e/tests/test_50_first_rows.py @@ -12,2 +12,2 @@ from .utils import ( - refresh_poll_splits_next, - refresh_poll_splits_next_first_rows, + refresh_poll_splits, + refresh_poll_splits_first_rows, @@ -77 +77 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - # dataset and depend on the result of /splits-next + # dataset and depend on the result of /splits @@ -87 +87 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - refresh_poll_splits_next(dataset) + refresh_poll_splits(dataset) @@ -91 +91 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - refresh_poll_splits_next(dataset) + refresh_poll_splits(dataset) @@ -95 +95 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) + _, r_rows = refresh_poll_splits_first_rows(dataset, config, split) @@ -105 +105 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st -# from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_next_first_rows +# from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_first_rows @@ -108 +108 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st -# def test_png_image_next(): +# def test_png_image(): @@ -115 +115 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st -# _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) +# _, r_rows = refresh_poll_splits_first_rows(dataset, config, split) diff --git a/e2e/tests/test_60_valid.py b/e2e/tests/test_80_valid.py similarity index 100% rename from e2e/tests/test_60_valid.py rename to e2e/tests/test_80_valid.py diff --git a/e2e/tests/test_80_valid_next.py b/e2e/tests/test_80_valid_next.py deleted file mode 100644 index 9b299e4f..00000000 --- a/e2e/tests/test_80_valid_next.py +++ /dev/null @@ -1,13 +0,0 @@ -from .fixtures.hub import DatasetRepos -from .utils import get - - -def test_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos): - # this test ensures that the datasets processed successfully are present in /valid-next - response = get("/valid-next") - assert response.status_code == 200, f"{response.status_code} - {response.text}" - # at this moment various datasets have been processed (due to the alphabetic order of the test files) - valid = response.json()["valid"] - assert hf_dataset_repos_csv_data["public"] in valid, response.text - assert hf_dataset_repos_csv_data["gated"] in valid, response.text - assert hf_dataset_repos_csv_data["private"] not in valid, response.text diff --git a/e2e/tests/test_70_is_valid.py b/e2e/tests/test_90_is_valid.py similarity index 100% rename from e2e/tests/test_70_is_valid.py rename to e2e/tests/test_90_is_valid.py diff --git a/e2e/tests/test_90_is_valid_next.py b/e2e/tests/test_90_is_valid_next.py deleted file mode 100644 index 6dc68dd6..00000000 --- a/e2e/tests/test_90_is_valid_next.py +++ /dev/null @@ -1,16 +0,0 @@ -from .fixtures.hub import DatasetRepos -from .utils import get - - -def test_is_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos): - # this test ensures that a dataset processed successfully returns true in /is-valid-next - response = get("/is-valid-next") - assert response.status_code == 422, f"{response.status_code} - {response.text}" - # at this moment various datasets have been processed (due to the alphabetic order of the test files) - public = hf_dataset_repos_csv_data["public"] - response = get(f"/is-valid-next?dataset={public}") - assert response.status_code == 200, f"{response.status_code} - {response.text}" - assert response.json()["valid"] is True, response.text - # without authentication, we get a 401 error when requesting a non-existing dataset - response = get("/is-valid-next?dataset=non-existing-dataset") - assert response.status_code == 401, f"{response.status_code} - {response.text}" diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py index 97becb2f..846c2587 100644 --- a/e2e/tests/utils.py +++ b/e2e/tests/utils.py @@ -66,27 +66 @@ def poll_splits(dataset: str, headers: Headers = None) -> Response: - return poll(f"/splits?dataset={dataset}", error_field="message", headers=headers) - - -def poll_rows(dataset: str, config: str, split: str, headers: Headers = None) -> Response: - return poll(f"/rows?dataset={dataset}&config={config}&split={split}", error_field="message", headers=headers) - - -def refresh_poll_splits_rows( - dataset: str, config: str, split: str, headers: Headers = None -) -> Tuple[Response, Response]: - # ask for the dataset to be refreshed - response = post_refresh(dataset, headers=headers) - assert response.status_code == 200, f"{response.status_code} - {response.text}" - - # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." - response_splits = poll_splits(dataset, headers=headers) - assert response.status_code == 200, f"{response_splits.status_code} - {response_splits.text}" - - # poll the /rows endpoint until we get something else than "The split is being processed. Retry later." - response_rows = poll_rows(dataset, config, split, headers=headers) - assert response.status_code == 200, f"{response_rows.status_code} - {response_rows.text}" - - return response_splits, response_rows - - -def poll_splits_next(dataset: str, headers: Headers = None) -> Response: - return poll(f"/splits-next?dataset={dataset}", error_field="error", headers=headers) + return poll(f"/splits?dataset={dataset}", error_field="error", headers=headers) @@ -99 +73 @@ def poll_first_rows(dataset: str, config: str, split: str, headers: Headers = No -def refresh_poll_splits_next(dataset: str, headers: Headers = None) -> Response: +def refresh_poll_splits(dataset: str, headers: Headers = None) -> Response: @@ -105 +79 @@ def refresh_poll_splits_next(dataset: str, headers: Headers = None) -> Response: - return poll_splits_next(dataset, headers=headers) + return poll_splits(dataset, headers=headers) @@ -108 +82 @@ def refresh_poll_splits_next(dataset: str, headers: Headers = None) -> Response: -def refresh_poll_splits_next_first_rows( +def refresh_poll_splits_first_rows( @@ -111 +85 @@ def refresh_poll_splits_next_first_rows( - response_splits = refresh_poll_splits_next(dataset, headers=headers) + response_splits = refresh_poll_splits(dataset, headers=headers) diff --git a/libs/libcache/dist/libcache-0.2.0-py3-none-any.whl b/libs/libcache/dist/libcache-0.2.0-py3-none-any.whl new file mode 100644 index 00000000..99c1af6b Binary files /dev/null and b/libs/libcache/dist/libcache-0.2.0-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.2.0.tar.gz b/libs/libcache/dist/libcache-0.2.0.tar.gz new file mode 100644 index 00000000..a40a4dd2 Binary files /dev/null and b/libs/libcache/dist/libcache-0.2.0.tar.gz differ diff --git a/libs/libcache/dist/libcache-0.2.1-py3-none-any.whl b/libs/libcache/dist/libcache-0.2.1-py3-none-any.whl new file mode 100644 index 00000000..fb6ff49f Binary files /dev/null and b/libs/libcache/dist/libcache-0.2.1-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.2.1.tar.gz b/libs/libcache/dist/libcache-0.2.1.tar.gz new file mode 100644 index 00000000..e6d2b0f9 Binary files /dev/null and b/libs/libcache/dist/libcache-0.2.1.tar.gz differ diff --git a/libs/libcache/migrations/20220406_cache_dbrow_status_and_since.py b/libs/libcache/migrations/20220406_cache_dbrow_status_and_since.py deleted file mode 100644 index 1f11cbf6..00000000 --- a/libs/libcache/migrations/20220406_cache_dbrow_status_and_since.py +++ /dev/null @@ -1,14 +0,0 @@ -from datetime import datetime - -from pymongo import MongoClient - -from libcache.cache import Status -from ._utils import MONGO_CACHE_DATABASE, MONGO_URL - -client = MongoClient(MONGO_URL) -db = client[MONGO_CACHE_DATABASE] - - -# migrate -rows_coll = db.rows -rows_coll.update_many({}, {"$set": {"status": Status.VALID.value, "since": datetime.utcnow}}) diff --git a/libs/libcache/migrations/20220408_cache_remove_dbrow_dbcolumn.py b/libs/libcache/migrations/20220408_cache_remove_dbrow_dbcolumn.py deleted file mode 100644 index 5e4ee4e6..00000000 --- a/libs/libcache/migrations/20220408_cache_remove_dbrow_dbcolumn.py +++ /dev/null @@ -1,167 +0,0 @@ -import base64 -import sys -from enum import Enum, auto -from typing import Any, Dict, List, TypedDict - -import orjson -from pymongo import MongoClient - -from ._utils import MONGO_CACHE_DATABASE, MONGO_URL - -client = MongoClient(MONGO_URL) -db = client[MONGO_CACHE_DATABASE] - - -# copy code required for the migration (it might disappear in next iterations) -class RowItem(TypedDict): - dataset: str - config: str - split: str - row_idx: int - row: Dict[str, Any] - truncated_cells: List[str] - - -class ColumnType(Enum): - JSON = auto() # default - BOOL = auto() - INT = auto() - FLOAT = auto() - STRING = auto() - IMAGE_URL = auto() - RELATIVE_IMAGE_URL = auto() - AUDIO_RELATIVE_SOURCES = auto() - CLASS_LABEL = auto() - - -def get_empty_rows_response() -> Dict[str, Any]: - return {"columns": [], "rows": []} - - -def to_column_item(column: Dict[str, Any]) -> Dict[str, Any]: - column_field = { - "name": column["name"], - "type": ColumnType(column["type"]).name, - } - if "labels" in column and len(column["labels"]) > 0: - column_field["labels"] = column["labels"] - - return { - "dataset": column["dataset_name"], - "config": column["config_name"], - "split": column["split_name"], - "column_idx": column["column_idx"], - "column": column_field, - } - - -# orjson is used to get rid of errors with datetime (see allenai/c4) -def orjson_default(obj: Any) -> Any: - if isinstance(obj, bytes): - return base64.b64encode(obj).decode("utf-8") - raise TypeError - - -def orjson_dumps(content: Any) -> bytes: - return orjson.dumps(content, option=orjson.OPT_UTC_Z, default=orjson_default) - - -def get_size_in_bytes(obj: Any): - return sys.getsizeof(orjson_dumps(obj)) - # ^^ every row is transformed here in a string, because it corresponds to - # the size the row will contribute in the JSON response to /rows endpoint. - # The size of the string is measured in bytes. - # An alternative would have been to look at the memory consumption (pympler) but it's - # less related to what matters here (size of the JSON, number of characters in the - # dataset viewer table on the hub) - - -def truncate_cell(cell: Any, min_cell_bytes: int) -> str: - return orjson_dumps(cell)[:min_cell_bytes].decode("utf8", "ignore") - - -DEFAULT_MIN_CELL_BYTES = 100 - - -# Mutates row_item, and returns it anyway -def truncate_row_item(row_item: RowItem) -> RowItem: - min_cell_bytes = DEFAULT_MIN_CELL_BYTES - row = {} - for column_name, cell in row_item["row"].items(): - # for now: all the cells, but the smallest ones, are truncated - cell_bytes = get_size_in_bytes(cell) - if cell_bytes > min_cell_bytes: - row_item["truncated_cells"].append(column_name) - row[column_name] = truncate_cell(cell, min_cell_bytes) - else: - row[column_name] = cell - row_item["row"] = row - return row_item - - -# Mutates row_items, and returns them anyway -def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[RowItem]: - # compute the current size - rows_bytes = sum(get_size_in_bytes(row_item) for row_item in row_items) - - # Loop backwards, so that the last rows are truncated first - for row_item in reversed(row_items): - if rows_bytes < rows_max_bytes: - break - previous_size = get_size_in_bytes(row_item) - row_item = truncate_row_item(row_item) - new_size = get_size_in_bytes(row_item) - rows_bytes += new_size - previous_size - return row_items - - -def to_row_item(row: Dict[str, Any]) -> RowItem: - return { - "dataset": row["dataset_name"], - "config": row["config_name"], - "split": row["split_name"], - "row_idx": row["row_idx"], - "row": row["row"], - "truncated_cells": [], - } - - -# migrate -rows_max_bytes = 1_000_000 -splits_coll = db.splits -rows_coll = db.rows -columns_coll = db.columns -splits_coll.update_many({}, {"$set": {"rows_response": get_empty_rows_response()}}) -# ^ add the new field to all the splits -for split in splits_coll.find({"status": {"$in": ["valid", "stalled"]}}): - print(f"update split {split}") - columns = list( - columns_coll.find( - { - "dataset_name": split["dataset_name"], - "config_name": split["config_name"], - "split_name": split["split_name"], - } - ) - ) - print(f"found {len(columns)} columns") - rows = list( - rows_coll.find( - { - "dataset_name": split["dataset_name"], - "config_name": split["config_name"], - "split_name": split["split_name"], - } - ) - ) - print(f"found {len(rows)} rows") - column_items = [to_column_item(column) for column in sorted(columns, key=lambda d: d["column_idx"])] - row_items = truncate_row_items( - [to_row_item(row) for row in sorted(rows, key=lambda d: d["row_idx"])], rows_max_bytes - ) - rows_response = {"columns": column_items, "rows": row_items} - splits_coll.update_one({"_id": split["_id"]}, {"$set": {"rows_response": rows_response}}) - -# ^ fill the rows_response field, only for VALID and STALLED -db["rows"].drop() -db["columns"].drop() diff --git a/libs/libcache/migrations/README.md b/libs/libcache/migrations/README.md deleted file mode 100644 index acd1163a..00000000 --- a/libs/libcache/migrations/README.md +++ /dev/null @@ -1,47 +0,0 @@ -# MongoDB migrations - -The cache is stored in a MongoDB database. - -When the structure of a database is changed, the data stored in the database must be migrated to the new structure. It's done using the migration scripts in this directory. - -## Apply a migration script - -The commit, and the release, MUST always give the list of migration scripts that must be applied to migrate. - -Before apply the migration script, be sure to **backup** the database, in case of failure. - -```shell -mongodump --forceTableScan --uri=mongodb://localhost:27017 --archive=dump.bson -``` - -To run a script, for example [20220406_cache_dbrow_status_and_since.py](./20220406_cache_dbrow_status_and_since.py): - -```shell -export MONGO_CACHE_DATABASE="datasets_server_queue_test" -export MONGO_URL="mongodb://localhost:27017" -poetry run python libs/libcache/src/libcache/migrations/<YOUR_MIGRATION_FILE>.py -``` - -Then, validate with - -```shell -export MONGO_CACHE_DATABASE="datasets_server_queue_test" -export MONGO_URL="mongodb://localhost:27017" -poetry run python libs/libcache/src/libcache/migrations/validate.py -``` - -In case of **error**, restore the database, else remove the dump file - -```shell -# only in case of error! -export MONGO_URL="mongodb://localhost:27017" -mongorestore --drop --uri=${MONGO_URL} --archive=dump.bson -``` - -## Write a migration script - -A script filename must contain the date, the database, and a description of the change. - -A migration script should apply the changes, then check for the entries to be in a good state. See [20220406_cache_dbrow_status_and_since.py](./20220406_cache_dbrow_status_and_since.py) for example. - -See https://docs.mongoengine.org/guide/migration.html for more details on migration scripts with mongoengine. diff --git a/libs/libcache/migrations/__init__.py b/libs/libcache/migrations/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/libs/libcache/migrations/_utils.py b/libs/libcache/migrations/_utils.py deleted file mode 100644 index 15841c2d..00000000 --- a/libs/libcache/migrations/_utils.py +++ /dev/null @@ -1,56 +0,0 @@ -from typing import Callable, Iterator, List, Optional, Type, TypeVar - -from mongoengine import Document -from pymongo.collection import Collection - -import os - -from libutils.utils import get_str_value - -DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27017" - -MONGO_CACHE_DATABASE = get_str_value(d=os.environ, key="MONGO_CACHE_DATABASE", default=DEFAULT_MONGO_CACHE_DATABASE) -MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_URL) - - -# --- some typing subtleties, see https://github.com/sbdchd/mongo-types -class DocumentWithId(Document): - id: str - - -U = TypeVar("U", bound=DocumentWithId) -DocumentClass = Type[U] -CustomValidation = Callable[[U], None] -# --- end - - -def get_random_oids(collection: Collection, sample_size: int) -> List[int]: - pipeline = [{"$project": {"_id": 1}}, {"$sample": {"size": sample_size}}] - return [s["_id"] for s in collection.aggregate(pipeline)] - - -def get_random_documents(DocCls: DocumentClass, sample_size: int) -> Iterator[DocumentWithId]: - doc_collection = DocCls._get_collection() - random_oids = get_random_oids(doc_collection, sample_size) - return DocCls.objects(id__in=random_oids) # type: ignore - - -def check_documents(DocCls: DocumentClass, sample_size: int, custom_validation: Optional[CustomValidation] = None): - for doc in get_random_documents(DocCls, sample_size): - # general validation (types and values) - doc.validate() - - # load all subfields, - # this may trigger additional queries if you have ReferenceFields - # so it may be slow - for field in doc._fields: - try: - getattr(doc, field) - except Exception: - print(f"Could not load field {field} in Document {doc.id}") - raise - - # custom validation - if custom_validation is not None: - custom_validation(doc) diff --git a/libs/libcache/migrations/validate.py b/libs/libcache/migrations/validate.py deleted file mode 100644 index 7ca99e11..00000000 --- a/libs/libcache/migrations/validate.py +++ /dev/null @@ -1,6 +0,0 @@ -from libcache.cache import DbSplit, connect_to_cache -from ._utils import check_documents, MONGO_CACHE_DATABASE, MONGO_URL - - -connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) -check_documents(DbSplit, 100) diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index 3b477d83..f89d4617 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -1,17 +0,0 @@ -[[package]] -name = "anyio" -version = "3.6.1" -description = "High level compatibility layer for multiple asynchronous event loop implementations" -category = "dev" -optional = false -python-versions = ">=3.6.2" - -[package.dependencies] -idna = ">=2.8" -sniffio = ">=1.1" - -[package.extras] -doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"] -test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] -trio = ["trio (>=0.16)"] - @@ -48,41 +30,0 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (> -[[package]] -name = "azure-core" -version = "1.24.2" -description = "Microsoft Azure Core Library for Python" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -requests = ">=2.18.4" -six = ">=1.11.0" -typing-extensions = ">=4.0.1" - -[[package]] -name = "azure-identity" -version = "1.10.0" -description = "Microsoft Azure Identity Library for Python" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.11.0,<2.0.0" -cryptography = ">=2.5" -msal = ">=1.12.0,<2.0.0" -msal-extensions = ">=0.3.0,<2.0.0" -six = ">=1.12.0" - -[[package]] -name = "azure-storage-blob" -version = "12.13.0" -description = "Microsoft Azure Blob Storage Client Library for Python" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.23.1,<2.0.0" -cryptography = ">=2.1.4" -msrest = ">=0.6.21" - @@ -138,11 +79,0 @@ python-versions = ">=3.6" -[[package]] -name = "cffi" -version = "1.15.1" -description = "Foreign Function Interface for Python calling C code." -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -pycparser = "*" - @@ -190,19 +120,0 @@ toml = ["tomli"] -[[package]] -name = "cryptography" -version = "37.0.4" -description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cffi = ">=1.12" - -[package.extras] -docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"] -docstest = ["pyenchant (>=1.6.11)", "twine (>=1.12.0)", "sphinxcontrib-spelling (>=4.0.1)"] -pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"] -sdist = ["setuptools_rust (>=0.11.4)"] -ssh = ["bcrypt (>=3.1.5)"] -test = ["pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] - @@ -221,8 +132,0 @@ IDNA = ["idna (>=2.1)"] -[[package]] -name = "docopt" -version = "0.6.2" -description = "Pythonic argument parser, that will make you smile" -category = "dev" -optional = false -python-versions = "*" - @@ -245,49 +148,0 @@ pipenv = ["pipenv"] -[[package]] -name = "dpu-utils" -version = "0.6.1" -description = "Python utilities used by Deep Procedural Intelligence" -category = "dev" -optional = false -python-versions = ">=3.6.1" - -[package.dependencies] -azure-identity = "*" -azure-storage-blob = "*" -cffi = "*" -docopt = "*" -numpy = "*" -regex = "*" -sentencepiece = "*" -SetSimilaritySearch = "*" -tqdm = "*" - -[[package]] -name = "elastic-transport" -version = "8.1.2" -description = "Transport classes and utilities shared among Python Elastic client libraries" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -certifi = "*" -urllib3 = ">=1.26.2,<2" - -[package.extras] -develop = ["pytest", "pytest-cov", "pytest-mock", "pytest-asyncio", "pytest-httpserver", "trustme", "mock", "requests", "aiohttp"] - -[[package]] -name = "elasticsearch" -version = "8.3.1" -description = "Python client for Elasticsearch" -category = "dev" -optional = false -python-versions = ">=3.6, <4" - -[package.dependencies] -elastic-transport = ">=8,<9" - -[package.extras] -async = ["aiohttp (>=3,<4)"] -requests = ["requests (>=2.4.0,<3.0.0)"] - @@ -307,28 +161,0 @@ pyflakes = ">=2.3.0,<2.4.0" -[[package]] -name = "function-parser" -version = "0.0.3" -description = "This library contains various utils to parse GitHub repositories into function definition and docstring pairs. It is based on tree-sitter to parse code into ASTs and apply heuristics to parse metadata in more details. Currently, it supports 6 languages: Python, Java, Go, Php, Ruby, and Javascript. It also parses function calls and links them with their definitions for Python." -category = "dev" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -docopt = "*" -dpu-utils = "*" -elasticsearch = "*" -gitpython = "*" -pandas = "*" -pyhive = "*" -python-arango = "*" -requests = "*" -tqdm = "*" -tree-sitter = "0.0.5" - -[[package]] -name = "future" -version = "0.18.2" -description = "Clean single-source support for Python 3 and 2" -category = "dev" -optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -373,11 +199,0 @@ python-versions = "*" -[[package]] -name = "isodate" -version = "0.6.1" -description = "An ISO 8601 date/time/duration parser and formatter" -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -six = "*" - @@ -398,17 +213,0 @@ plugins = ["setuptools"] -[[package]] -name = "libutils" -version = "0.1.11" -description = "Library for utils" -category = "dev" -optional = false -python-versions = "==3.9.6" - -[package.dependencies] -function-parser = ">=0.0.3,<0.0.4" -orjson = ">=3.6.4,<4.0.0" -starlette = ">=0.16.0,<0.17.0" - -[package.source] -type = "file" -url = "../libutils/dist/libutils-0.1.11-py3-none-any.whl" - @@ -442,46 +240,0 @@ pymongo = ">=3.4,<5.0" -[[package]] -name = "msal" -version = "1.18.0" -description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -cryptography = ">=0.6,<40" -PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} -requests = ">=2.0.0,<3" - -[[package]] -name = "msal-extensions" -version = "1.0.0" -description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -msal = ">=0.4.1,<2.0.0" -portalocker = [ - {version = ">=1.0,<3", markers = "python_version >= \"3.5\" and platform_system != \"Windows\""}, - {version = ">=1.6,<3", markers = "python_version >= \"3.5\" and platform_system == \"Windows\""}, -] - -[[package]] -name = "msrest" -version = "0.7.1" -description = "AutoRest swagger generator Python client runtime." -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.24.0" -certifi = ">=2017.4.17" -isodate = ">=0.6.0" -requests = ">=2.16,<3.0" -requests-oauthlib = ">=0.5.0" - -[package.extras] -async = ["aiodns", "aiohttp (>=3.0)"] - @@ -512,29 +264,0 @@ python-versions = "*" -[[package]] -name = "numpy" -version = "1.23.1" -description = "NumPy is the fundamental package for array computing with Python." -category = "dev" -optional = false -python-versions = ">=3.8" - -[[package]] -name = "oauthlib" -version = "3.2.0" -description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.extras] -rsa = ["cryptography (>=3.0.0)"] -signals = ["blinker (>=1.4.0)"] -signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] - -[[package]] -name = "orjson" -version = "3.7.8" -description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy" -category = "dev" -optional = false -python-versions = ">=3.7" - @@ -552,20 +275,0 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" -[[package]] -name = "pandas" -version = "1.4.3" -description = "Powerful data structures for data analysis, time series, and statistics" -category = "dev" -optional = false -python-versions = ">=3.8" - -[package.dependencies] -numpy = [ - {version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""}, - {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""}, - {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""}, -] -python-dateutil = ">=2.8.1" -pytz = ">=2020.1" - -[package.extras] -test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] - @@ -623,16 +326,0 @@ tomlkit = ">=0.7.2,<0.8.0" -[[package]] -name = "portalocker" -version = "2.5.1" -description = "Wraps the portalocker recipe for easy usage" -category = "dev" -optional = false -python-versions = ">=3.5" - -[package.dependencies] -pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""} - -[package.extras] -docs = ["sphinx (>=1.7.1)"] -redis = ["redis"] -tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-timeout (>=2.1.0)", "sphinx (>=3.0.3)", "pytest-mypy (>=0.8.0)", "redis"] - @@ -655,8 +342,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pycparser" -version = "2.21" -description = "C parser in Python" -category = "dev" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - @@ -671,36 +350,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pyhive" -version = "0.6.5" -description = "Python interface to Hive" -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -future = "*" -python-dateutil = "*" - -[package.extras] -hive = ["sasl (>=0.2.1)", "thrift (>=0.10.0)", "thrift_sasl (>=0.1.0)"] -kerberos = ["requests_kerberos (>=0.12.0)"] -presto = ["requests (>=1.0.0)"] -sqlalchemy = ["sqlalchemy (>=1.3.0)"] -trino = ["requests (>=1.0.0)"] - -[[package]] -name = "pyjwt" -version = "2.4.0" -description = "JSON Web Token implementation in Python" -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cryptography = {version = ">=3.3.1", optional = true, markers = "extra == \"crypto\""} - -[package.extras] -crypto = ["cryptography (>=3.3.1)"] -dev = ["sphinx", "sphinx-rtd-theme", "zope.interface", "cryptography (>=3.3.1)", "pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)", "mypy", "pre-commit"] -docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"] -tests = ["pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)"] - @@ -776,44 +419,0 @@ testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtuale -[[package]] -name = "python-arango" -version = "7.4.1" -description = "Python Driver for ArangoDB" -category = "dev" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -PyJWT = "*" -requests = "*" -requests-toolbelt = "*" -urllib3 = ">=1.26.0" - -[package.extras] -dev = ["black (>=22.3.0)", "flake8 (>=4.0.1)", "isort (>=5.10.1)", "mypy (>=0.942)", "mock", "pre-commit (>=2.17.0)", "pytest (>=7.1.1)", "pytest-cov (>=3.0.0)", "sphinx", "sphinx-rtd-theme", "types-pkg-resources", "types-requests", "types-setuptools"] - -[[package]] -name = "python-dateutil" -version = "2.8.2" -description = "Extensions to the standard Python datetime module" -category = "dev" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" - -[package.dependencies] -six = ">=1.5" - -[[package]] -name = "pytz" -version = "2022.1" -description = "World timezone definitions, modern and historical" -category = "dev" -optional = false -python-versions = "*" - -[[package]] -name = "pywin32" -version = "304" -description = "Python for Window Extensions" -category = "dev" -optional = false -python-versions = "*" - @@ -828,8 +427,0 @@ python-versions = ">=3.6" -[[package]] -name = "regex" -version = "2022.7.9" -description = "Alternative regular expression module, to replace re." -category = "dev" -optional = false -python-versions = ">=3.6" - @@ -854,26 +445,0 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] -[[package]] -name = "requests-oauthlib" -version = "1.3.1" -description = "OAuthlib authentication support for Requests." -category = "dev" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - -[package.dependencies] -oauthlib = ">=3.0.0" -requests = ">=2.0.0" - -[package.extras] -rsa = ["oauthlib[signedtoken] (>=3.0.0)"] - -[[package]] -name = "requests-toolbelt" -version = "0.9.1" -description = "A utility belt for advanced users of python-requests" -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -requests = ">=2.0.1,<3.0.0" - @@ -918,30 +483,0 @@ requests = "*" -[[package]] -name = "sentencepiece" -version = "0.1.96" -description = "SentencePiece python wrapper" -category = "dev" -optional = false -python-versions = "*" - -[[package]] -name = "setsimilaritysearch" -version = "0.1.7" -description = "A Python library of set similarity search algorithms" -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -numpy = "*" - -[package.extras] -test = ["coverage", "nose"] - -[[package]] -name = "six" -version = "1.16.0" -description = "Python 2 and 3 compatibility utilities" -category = "dev" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -956,22 +491,0 @@ python-versions = ">=3.6" -[[package]] -name = "sniffio" -version = "1.2.0" -description = "Sniff out which async library your code is running under" -category = "dev" -optional = false -python-versions = ">=3.5" - -[[package]] -name = "starlette" -version = "0.16.0" -description = "The little ASGI library that shines." -category = "dev" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -anyio = ">=3.0.0,<4" - -[package.extras] -full = ["itsdangerous", "jinja2", "python-multipart", "pyyaml", "requests", "graphene"] - @@ -1013,25 +526,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -[[package]] -name = "tqdm" -version = "4.64.0" -description = "Fast, Extensible Progress Meter" -category = "dev" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" - -[package.dependencies] -colorama = {version = "*", markers = "platform_system == \"Windows\""} - -[package.extras] -dev = ["py-make (>=0.1.0)", "twine", "wheel"] -notebook = ["ipywidgets (>=6)"] -slack = ["slack-sdk"] -telegram = ["requests"] - -[[package]] -name = "tree-sitter" -version = "0.0.5" -description = "Python bindings to the Tree-sitter parsing library" -category = "dev" -optional = false -python-versions = ">=3.3" - @@ -1070 +559 @@ python-versions = "3.9.6" -content-hash = "78c8fc1d17b4ad1bcaf8bc94a8e617ae8e2e9467ec4dbe186ea6e77bb0dc5bd5" +content-hash = "9d23548c6080d98161b06542a06f9c62c3b87b36537db14e32b6988c58639652" @@ -1073,4 +561,0 @@ content-hash = "78c8fc1d17b4ad1bcaf8bc94a8e617ae8e2e9467ec4dbe186ea6e77bb0dc5bd5 -anyio = [ - 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Tuple, - Type, - TypedDict, - TypeVar, - Union, -) - -from libutils.exceptions import Status400Error, Status500Error, StatusError -from libutils.types import Split, SplitFullName -from mongoengine import Document, DoesNotExist, connect -from mongoengine.fields import ( - DateTimeField, - DictField, - EnumField, - IntField, - ListField, - StringField, -) -from mongoengine.queryset.queryset import QuerySet -from pymongo.errors import DocumentTooLarge - -# START monkey patching ### hack ### -# see https://github.com/sbdchd/mongo-types#install -U = TypeVar("U", bound=Document) - - -def no_op(self, x): # type: ignore - return self - - -QuerySet.__class_getitem__ = types.MethodType(no_op, QuerySet) - - -logger = logging.getLogger(__name__) - - -class QuerySetManager(Generic[U]): - def __get__(self, instance: object, cls: Type[U]) -> QuerySet[U]: - return QuerySet(cls, cls._get_collection()) - - -# END monkey patching ### hack ### - - -def connect_to_cache(database, host) -> None: - connect(database, alias="cache", host=host) - - -class Status(enum.Enum): - EMPTY = "empty" - VALID = "valid" - ERROR = "error" - STALE = "stale" - DEPRECATED_STALLED = "stalled" - - -# the purpose of this collection is to check if the dataset exists, which is its status and since when -class DbDataset(Document): - dataset_name = StringField(required=True, unique=True) - status = EnumField(Status, default=Status.EMPTY) - since = DateTimeField(default=datetime.utcnow) - - meta = {"collection": "datasets", "db_alias": "cache", "indexes": ["dataset_name", "status"]} - objects = QuerySetManager["DbDataset"]() - - -class SplitItem(TypedDict): - dataset: str - config: str - split: str - num_bytes: Optional[int] - num_examples: Optional[int] - - -class SplitsResponse(TypedDict): - splits: List[SplitItem] - - -def get_empty_rows_response() -> Dict[str, Any]: - return {"columns": [], "rows": []} - - -class DbSplit(Document): - dataset_name = StringField(required=True, unique_with=["config_name", "split_name"]) - config_name = StringField(required=True) - split_name = StringField(required=True) - split_idx = IntField(required=True, min_value=0) # used to maintain the order - num_bytes = IntField(min_value=0) - num_examples = IntField(min_value=0) - rows_response = DictField(required=True) - status = EnumField(Status, default=Status.EMPTY) - since = DateTimeField(default=datetime.utcnow) - - def to_split_item(self) -> SplitItem: - return { - "dataset": self.dataset_name, - "config": self.config_name, - "split": self.split_name, - "num_bytes": self.num_bytes, - "num_examples": self.num_examples, - } - - def to_split_full_name(self) -> SplitFullName: - return {"dataset_name": self.dataset_name, "config_name": self.config_name, "split_name": self.split_name} - - meta = { - "collection": "splits", - "db_alias": "cache", - "indexes": [ - ("dataset_name", "config_name", "split_name"), - ("dataset_name", "status"), - ("status", "dataset_name"), - # ^ this index (reversed) is used for the "distinct" command to get the names of the valid datasets - ], - } - objects = QuerySetManager["DbSplit"]() - - -AnyDb = TypeVar("AnyDb", DbDataset, DbSplit) # Must be DbDataset or DbSplit - - -class _BaseErrorItem(TypedDict): - status_code: int - exception: str - message: str - - -class ErrorItem(_BaseErrorItem, total=False): - # https://www.python.org/dev/peps/pep-0655/#motivation - cause_exception: str - cause_message: str - cause_traceback: List[str] - - -class DbDatasetError(Document): - dataset_name = StringField(required=True, unique=True) - status_code = IntField(required=True) # TODO: an enum - exception = StringField(required=True) - message = StringField(required=True) - cause_exception = StringField() - cause_message = StringField() - cause_traceback = ListField(StringField()) - - def to_item(self) -> ErrorItem: - error: ErrorItem = {"status_code": self.status_code, "exception": self.exception, "message": self.message} - if self.cause_exception and self.cause_message: - error["cause_exception"] = self.cause_exception - error["cause_message"] = self.cause_message - if self.cause_traceback: - error["cause_traceback"] = self.cause_traceback - return error - - meta = {"collection": "dataset_errors", "db_alias": "cache"} - objects = QuerySetManager["DbDatasetError"]() - - -class DbSplitError(Document): - dataset_name = StringField(required=True, unique_with=["config_name", "split_name"]) - config_name = StringField(required=True) - split_name = StringField(required=True) - status_code = IntField(required=True) # TODO: an enum - exception = StringField(required=True) - message = StringField(required=True) - cause_exception = StringField() - cause_message = StringField() - cause_traceback = ListField(StringField()) - - def to_item(self) -> ErrorItem: - error: ErrorItem = {"status_code": self.status_code, "exception": self.exception, "message": self.message} - if self.cause_exception and self.cause_message: - error["cause_exception"] = self.cause_exception - error["cause_message"] = self.cause_message - if self.cause_traceback: - error["cause_traceback"] = self.cause_traceback - return error - - meta = { - "collection": "split_errors", - "db_alias": "cache", - "indexes": [("dataset_name", "config_name", "split_name")], - } - objects = QuerySetManager["DbSplitError"]() - - -def upsert_dataset_error(dataset_name: str, error: StatusError) -> None: - DbSplit.objects(dataset_name=dataset_name).delete() - DbDataset.objects(dataset_name=dataset_name).upsert_one(status=Status.ERROR) - DbDatasetError.objects(dataset_name=dataset_name).upsert_one( - status_code=error.status_code, - exception=error.exception, - message=error.message, - cause_exception=error.cause_exception, - cause_message=error.cause_message, - cause_traceback=error.cause_traceback, - ) - - -def upsert_dataset(dataset_name: str, new_split_full_names: List[SplitFullName]) -> None: - DbDataset.objects(dataset_name=dataset_name).upsert_one(status=Status.VALID) - DbDatasetError.objects(dataset_name=dataset_name).delete() - - split_full_names_to_delete = [ - o.to_split_full_name() - for o in DbSplit.objects(dataset_name=dataset_name) - if o.to_split_full_name() not in new_split_full_names - ] - - for split_full_name in split_full_names_to_delete: - delete_split(split_full_name) - - for split_idx, split_full_name in enumerate(new_split_full_names): - create_or_mark_split_as_stale(split_full_name, split_idx) - - -def upsert_split_error(dataset_name: str, config_name: str, split_name: str, error: StatusError) -> None: - DbSplit.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).upsert_one( - status=Status.ERROR - ) - DbSplitError.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).upsert_one( - status_code=error.status_code, - exception=error.exception, - message=error.message, - cause_exception=error.cause_exception, - cause_message=error.cause_message, - cause_traceback=error.cause_traceback, - ) - - -def upsert_split( - dataset_name: str, - config_name: str, - split_name: str, - split: Split, -) -> None: - try: - DbSplit.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).upsert_one( - status=Status.VALID, - num_bytes=split["num_bytes"], - num_examples=split["num_examples"], - rows_response=split["rows_response"], # TODO: a class method - ) - DbSplitError.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - except DocumentTooLarge as err: - upsert_split_error( - dataset_name, config_name, split_name, Status500Error("could not store the rows/ cache entry.", err) - ) - - -def delete_dataset_cache(dataset_name: str) -> None: - DbDataset.objects(dataset_name=dataset_name).delete() - DbSplit.objects(dataset_name=dataset_name).delete() - DbDatasetError.objects(dataset_name=dataset_name).delete() - DbSplitError.objects(dataset_name=dataset_name).delete() - - -def clean_database() -> None: - DbDataset.drop_collection() # type: ignore - DbSplit.drop_collection() # type: ignore - DbDatasetError.drop_collection() # type: ignore - DbSplitError.drop_collection() # type: ignore - - -def delete_split(split_full_name: SplitFullName): - dataset_name = split_full_name["dataset_name"] - config_name = split_full_name["config_name"] - split_name = split_full_name["split_name"] - DbSplit.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - DbSplitError.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - logger.debug(f"dataset '{dataset_name}': deleted split {split_name} from config {config_name}") - - -def create_empty_split(split_full_name: SplitFullName, split_idx: int): - dataset_name = split_full_name["dataset_name"] - config_name = split_full_name["config_name"] - split_name = split_full_name["split_name"] - DbSplit( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - status=Status.EMPTY, - split_idx=split_idx, - rows_response=get_empty_rows_response(), - ).save() - logger.debug(f"dataset '{dataset_name}': created empty split {split_name} in config {config_name}") - - -def create_empty_dataset(dataset_name: str): - DbDataset(dataset_name=dataset_name).save() - logger.debug(f"created empty dataset '{dataset_name}'") - - -def create_or_mark_dataset_as_stale(dataset_name: str): - try: - DbDataset.objects(dataset_name=dataset_name).get() - mark_dataset_as_stale(dataset_name) - except DoesNotExist: - create_empty_dataset(dataset_name) - - -def mark_dataset_as_stale(dataset_name: str): - DbDataset.objects(dataset_name=dataset_name).update(status=Status.STALE) - logger.debug(f"marked dataset '{dataset_name}' as stale") - - -def create_or_mark_split_as_stale(split_full_name: SplitFullName, split_idx: int): - try: - dataset_name = split_full_name["dataset_name"] - config_name = split_full_name["config_name"] - split_name = split_full_name["split_name"] - split = DbSplit.objects( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - ).get() - if split.status == Status.EMPTY: - logger.debug(f"dataset '{dataset_name}': let split {split_name} in config {config_name} as empty") - else: - mark_split_as_stale(split_full_name, split_idx) - except DoesNotExist: - create_empty_split(split_full_name, split_idx) - - -def mark_split_as_stale(split_full_name: SplitFullName, split_idx: int): - dataset_name = split_full_name["dataset_name"] - config_name = split_full_name["config_name"] - split_name = split_full_name["split_name"] - DbSplit.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).update( - status=Status.STALE, split_idx=split_idx - ) - logger.debug(f"dataset '{dataset_name}': marked split {split_name} in config {config_name} as stale") - - -def list_split_full_names_to_refresh(dataset_name: str): - return [ - split.to_split_full_name() - for split in DbSplit.objects( - dataset_name=dataset_name, status__in=[Status.EMPTY, Status.STALE, Status.DEPRECATED_STALLED] - ) - ] - - -# export - - -def should_dataset_be_refreshed(dataset_name: str) -> bool: - try: - dataset = DbDataset.objects(dataset_name=dataset_name).get() - return dataset.status in [Status.STALE, Status.DEPRECATED_STALLED, Status.EMPTY] - except DoesNotExist: - return True - # ^ can also raise MultipleObjectsReturned, which should not occur -> we let the exception raise - - -def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], Union[ErrorItem, None], int]: - try: - dataset = DbDataset.objects(dataset_name=dataset_name).get() - except DoesNotExist as e: - raise Status400Error("The dataset does not exist.") from e - - # ^ can also raise MultipleObjectsReturned, which should not occur -> we let the exception raise - - if dataset.status == Status.EMPTY: - raise Status400Error("The dataset cache is empty.") - if dataset.status == Status.ERROR: - dataset_error = DbDatasetError.objects(dataset_name=dataset_name).get() - # ^ can raise DoesNotExist or MultipleObjectsReturned, which should not occur -> we let the exception raise - return None, dataset_error.to_item(), dataset_error.status_code - - splits_response: SplitsResponse = { - "splits": [ - split.to_split_item() - for split in DbSplit.objects(dataset_name=dataset_name).only( - "dataset_name", "config_name", "split_name", "num_bytes", "num_examples" - ) - # ^ don't fetch "rows_response" which can be very large - .order_by("+split_idx") - ] - } - return splits_response, None, 200 - - -def get_rows_response( - dataset_name: str, - config_name: str, - split_name: str, -) -> Tuple[Union[Dict[str, Any], None], Union[ErrorItem, None], int]: - try: - split = DbSplit.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).get() - except DoesNotExist as e: - raise Status400Error("The split does not exist.", e) from e - - # ^ can also raise MultipleObjectsReturned, which should not occur -> we let the exception raise - - if split.status == Status.EMPTY: - raise Status400Error("The split cache is empty.") - # ^ should not occur with the current logic - if split.status == Status.ERROR: - split_error = DbSplitError.objects( - dataset_name=dataset_name, config_name=config_name, split_name=split_name - ).get() - # ^ can raise DoesNotExist or MultipleObjectsReturned, which should not occur -> we let the exception raise - return None, split_error.to_item(), split_error.status_code - - return split.rows_response, None, 200 - - -# special reports - - -def is_dataset_valid_or_stale(dataset: DbDataset) -> bool: - if dataset.status not in [Status.VALID, Status.STALE, Status.DEPRECATED_STALLED]: - return False - - splits = DbSplit.objects(dataset_name=dataset.dataset_name).only("status") - return any(split.status in [Status.VALID, Status.STALE, Status.DEPRECATED_STALLED] for split in splits) - - -def is_dataset_name_valid_or_stale(dataset_name: str) -> bool: - try: - dataset = DbDataset.objects(dataset_name=dataset_name).get() - return is_dataset_valid_or_stale(dataset) - except DoesNotExist: - return False - # ^ can also raise MultipleObjectsReturned, which should not occur -> we let the exception raise - - -class CountByCacheStatus(TypedDict): - valid: int - error: int - missing: int - - -def get_dataset_cache_status(dataset_name: str) -> str: - try: - dataset = DbDataset.objects(dataset_name=dataset_name).get() - if dataset.status == Status.EMPTY: - return "missing" - if dataset.status == Status.ERROR: - return "error" - splits = DbSplit.objects(dataset_name=dataset.dataset_name).only("status") - if any(split.status == Status.EMPTY for split in splits): - return "missing" - elif any(split.status == Status.ERROR for split in splits): - return "error" - return "valid" - except DoesNotExist: - return "missing" - # ^ can also raise MultipleObjectsReturned, which should not occur -> we let the exception raise - - -def get_datasets_count_by_cache_status(dataset_names: List[str]) -> CountByCacheStatus: - dataset_statuses = [get_dataset_cache_status(x) for x in dataset_names] - return { - "valid": len([x for x in dataset_statuses if x == "valid"]), - "error": len([x for x in dataset_statuses if x == "error"]), - "missing": len([x for x in dataset_statuses if x == "missing"]), - } - - -def get_valid_or_stale_dataset_names() -> List[str]: - # a dataset is considered valid if: - # - the dataset is valid or stale - candidate_dataset_names = set( - DbDataset.objects(status__in=[Status.VALID, Status.STALE, Status.DEPRECATED_STALLED]).distinct("dataset_name") - ) - # - at least one of its splits is valid or stale - candidate_dataset_names_in_splits = set( - DbSplit.objects(status__in=[Status.VALID, Status.STALE, Status.DEPRECATED_STALLED]).distinct("dataset_name") - ) - - candidate_dataset_names.intersection_update(candidate_dataset_names_in_splits) - # note that the list is sorted alphabetically for consistency - return sorted(candidate_dataset_names) - - -def get_dataset_names_with_status(status: str) -> List[str]: - # TODO: take the splits statuses into account? - return [d.dataset_name for d in DbDataset.objects(status=status).only("dataset_name")] - - -class CountByStatus(TypedDict): - empty: int - error: int - stale: int - valid: int - - -def get_entries_count_by_status(entries: QuerySet[AnyDb]) -> CountByStatus: - # ensure that all the statuses are present, even if equal to zero - # note: we repeat the values instead of looping on Status because we don't know how to get the types right in mypy - # result: CountByStatus = {s.value: entries(status=s.value).count() for s in Status} # <- doesn't work in mypy - # see https://stackoverflow.com/a/67292548/7351594 - return { - "empty": entries(status=Status.EMPTY.value).count(), - "error": entries(status=Status.ERROR.value).count(), - "stale": entries(status__in=[Status.STALE, Status.DEPRECATED_STALLED]).count(), - "valid": entries(status=Status.VALID.value).count(), - } - - -def get_datasets_count_by_status() -> CountByStatus: - # TODO: take the splits statuses into account? - return get_entries_count_by_status(DbDataset.objects) - - -def get_splits_count_by_status() -> CountByStatus: - return get_entries_count_by_status(DbSplit.objects) - - -class DatasetCacheReport(TypedDict): - dataset: str - status: str - error: Union[Any, None] - - -def get_datasets_reports_with_error() -> List[DatasetCacheReport]: - return [ - {"dataset": error.dataset_name, "status": Status.ERROR.value, "error": error.to_item()} - for error in DbDatasetError.objects() - ] - - -def get_datasets_reports_with_status(status_name: str, status_list: List[Status]) -> List[DatasetCacheReport]: - return [ - {"dataset": d.dataset_name, "status": status_name, "error": None} - for d in DbDataset.objects(status__in=status_list).only("dataset_name") - ] - - -class DatasetCacheReportsByStatus(TypedDict): - empty: List[DatasetCacheReport] - error: List[DatasetCacheReport] - stale: List[DatasetCacheReport] - valid: List[DatasetCacheReport] - - -def get_datasets_reports_by_status() -> DatasetCacheReportsByStatus: - # TODO: take the splits statuses into account? - return { - "empty": get_datasets_reports_with_status("empty", [Status.EMPTY]), - "error": get_datasets_reports_with_error(), - "stale": get_datasets_reports_with_status("stale", [Status.STALE, Status.DEPRECATED_STALLED]), - "valid": get_datasets_reports_with_status("valid", [Status.VALID]), - } - - -class SplitCacheReport(TypedDict): - dataset: str - config: str - split: str - status: str - error: Union[Any, None] - - -def get_splits_reports_with_error() -> List[SplitCacheReport]: - return [ - { - "dataset": error.dataset_name, - "config": error.config_name, - "split": error.split_name, - "status": Status.ERROR.value, - "error": error.to_item(), - } - for error in DbSplitError.objects() - ] - - -def get_splits_reports_with_status(status_name: str, status_list: List[Status]) -> List[SplitCacheReport]: - return [ - { - "dataset": d.dataset_name, - "config": d.config_name, - "split": d.split_name, - "status": status_name, - "error": None, - } - for d in DbSplit.objects(status__in=status_list).only("dataset_name", "config_name", "split_name") - ] - - -class SplitCacheReportsByStatus(TypedDict): - empty: List[SplitCacheReport] - error: List[SplitCacheReport] - stale: List[SplitCacheReport] - valid: List[SplitCacheReport] - - -def get_splits_reports_by_status() -> SplitCacheReportsByStatus: - return { - "empty": list(get_splits_reports_with_status("empty", [Status.EMPTY])), - "error": get_splits_reports_with_error(), - "stale": get_splits_reports_with_status("stale", [Status.STALE, Status.DEPRECATED_STALLED]), - "valid": get_splits_reports_with_status("valid", [Status.VALID]), - } diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 549e7d51..4d6b8ec6 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -287 +287 @@ class FirstRowsResponseReport(SplitsResponseReport): -class CacheReportSplitsNext(TypedDict): +class CacheReportSplits(TypedDict): @@ -305 +305 @@ class InvalidLimit(Exception): -def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsNext: +def get_cache_reports_splits(cursor: str, limit: int) -> CacheReportSplits: @@ -317 +317 @@ def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsN - [`CacheReportSplitsNext`]: A dict with the list of reports and the next cursor. The next cursor is + [`CacheReportSplits`]: A dict with the list of reports and the next cursor. The next cursor is diff --git a/libs/libcache/tests/test_cache.py b/libs/libcache/tests/test_cache.py deleted file mode 100644 index e99a0f6b..00000000 --- a/libs/libcache/tests/test_cache.py +++ /dev/null @@ -1,181 +0,0 @@ -from typing import List - -import pytest -from libutils.exceptions import Status400Error -from libutils.types import RowItem, Split, SplitFullName -from mongoengine import DoesNotExist - -from libcache.cache import ( - DbDataset, - DbSplit, - Status, - clean_database, - connect_to_cache, - delete_dataset_cache, - get_datasets_count_by_status, - get_rows_response, - get_splits_count_by_status, - get_valid_or_stale_dataset_names, - upsert_dataset, - upsert_split, - upsert_split_error, -) - -from ._utils import MONGO_CACHE_DATABASE, MONGO_URL - - [email protected](autouse=True, scope="module") -def safe_guard() -> None: - if "test" not in MONGO_CACHE_DATABASE: - raise ValueError("Test must be launched on a test mongo database") - - [email protected](autouse=True, scope="module") -def client() -> None: - connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) - - [email protected](autouse=True) -def clean_mongo_database() -> None: - clean_database() - - -def test_save() -> None: - dataset_cache = DbDataset(dataset_name="test", status="valid") - dataset_cache.save() - - retrieved = DbDataset.objects(dataset_name="test") - assert len(list(retrieved)) == 1 - - -def test_save_and_update() -> None: - DbDataset(dataset_name="test", status="empty").save() - DbDataset.objects(dataset_name="test").upsert_one(status="valid") - retrieved = DbDataset.objects(dataset_name="test") - assert len(retrieved) == 1 - assert retrieved[0].status.value == "valid" - - -def test_upsert_dataset() -> None: - dataset_name = "test_dataset" - split_full_names: List[SplitFullName] = [ - {"dataset_name": dataset_name, "config_name": "test_config", "split_name": "test_split"} - ] - upsert_dataset(dataset_name, split_full_names) - split = DbSplit.objects(dataset_name=dataset_name).get() - assert split.status == Status.EMPTY - # ensure it's idempotent - upsert_dataset(dataset_name, split_full_names) - split = DbSplit.objects(dataset_name=dataset_name).get() - assert split.status == Status.EMPTY - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.dataset_name == dataset_name - assert retrieved.status.value == "valid" - delete_dataset_cache(dataset_name) - with pytest.raises(DoesNotExist): - DbDataset.objects(dataset_name=dataset_name).get() - - -def test_big_row() -> None: - # https://github.com/huggingface/datasets-server/issues/197 - dataset_name = "test_dataset" - config_name = "test_config" - split_name = "test_split" - big_row: RowItem = { - "dataset": dataset_name, - "config": config_name, - "split": split_name, - "row_idx": 0, - "row": {"col": "a" * 100_000_000}, - "truncated_cells": [], - } - split: Split = { - "split_name": split_name, - "rows_response": {"rows": [big_row], "columns": []}, - "num_bytes": None, - "num_examples": None, - } - upsert_split(dataset_name, config_name, split_name, split) - rows_response, error, status_code = get_rows_response(dataset_name, config_name, split_name) - assert status_code == 500 - assert error is not None - assert rows_response is None - assert error["message"] == "could not store the rows/ cache entry." - assert error["cause_exception"] == "DocumentTooLarge" - - -def test_valid() -> None: - assert get_valid_or_stale_dataset_names() == [] - - upsert_dataset( - "test_dataset", [{"dataset_name": "test_dataset", "config_name": "test_config", "split_name": "test_split"}] - ) - - assert get_valid_or_stale_dataset_names() == [] - - upsert_split( - "test_dataset", - "test_config", - "test_split", - { - "split_name": "test_split", - "rows_response": {"rows": [], "columns": []}, - "num_bytes": None, - "num_examples": None, - }, - ) - - assert get_valid_or_stale_dataset_names() == ["test_dataset"] - - upsert_dataset( - "test_dataset2", - [ - {"dataset_name": "test_dataset2", "config_name": "test_config2", "split_name": "test_split2"}, - {"dataset_name": "test_dataset2", "config_name": "test_config2", "split_name": "test_split3"}, - ], - ) - - assert get_valid_or_stale_dataset_names() == ["test_dataset"] - - upsert_split_error("test_dataset2", "test_config2", "test_split2", Status400Error("error")) - - assert get_valid_or_stale_dataset_names() == ["test_dataset"] - - upsert_split( - "test_dataset2", - "test_config2", - "test_split3", - { - "split_name": "test_split3", - "rows_response": {"rows": [], "columns": []}, - "num_bytes": None, - "num_examples": None, - }, - ) - - assert get_valid_or_stale_dataset_names() == ["test_dataset", "test_dataset2"] - - -def test_count_by_status() -> None: - assert get_datasets_count_by_status() == {"empty": 0, "error": 0, "stale": 0, "valid": 0} - - upsert_dataset( - "test_dataset", [{"dataset_name": "test_dataset", "config_name": "test_config", "split_name": "test_split"}] - ) - - assert get_datasets_count_by_status() == {"empty": 0, "error": 0, "stale": 0, "valid": 1} - assert get_splits_count_by_status() == {"empty": 1, "error": 0, "stale": 0, "valid": 0} - - upsert_split( - "test_dataset", - "test_config", - "test_split", - { - "split_name": "test_split", - "rows_response": {"rows": [], "columns": []}, - "num_bytes": None, - "num_examples": None, - }, - ) - - assert get_splits_count_by_status() == {"empty": 0, "error": 0, "stale": 0, "valid": 1} diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index 360645d2..b757197a 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -16 +16 @@ from libcache.simple_cache import ( - get_cache_reports_splits_next, + get_cache_reports_splits, @@ -256,2 +256,2 @@ def test_count_by_status_and_error_code() -> None: -def test_get_cache_reports_splits_next() -> None: - assert get_cache_reports_splits_next("", 2) == {"cache_reports": [], "next_cursor": ""} +def test_get_cache_reports_splits() -> None: + assert get_cache_reports_splits("", 2) == {"cache_reports": [], "next_cursor": ""} @@ -291 +291 @@ def test_get_cache_reports_splits_next() -> None: - response = get_cache_reports_splits_next("", 2) + response = get_cache_reports_splits("", 2) @@ -303 +303 @@ def test_get_cache_reports_splits_next() -> None: - response = get_cache_reports_splits_next(next_cursor, 2) + response = get_cache_reports_splits(next_cursor, 2) @@ -316 +316 @@ def test_get_cache_reports_splits_next() -> None: - get_cache_reports_splits_next("not an objectid", 2) + get_cache_reports_splits("not an objectid", 2) @@ -318 +318 @@ def test_get_cache_reports_splits_next() -> None: - get_cache_reports_splits_next(next_cursor, -1) + get_cache_reports_splits(next_cursor, -1) @@ -320 +320 @@ def test_get_cache_reports_splits_next() -> None: - get_cache_reports_splits_next(next_cursor, 0) + get_cache_reports_splits(next_cursor, 0) diff --git a/libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl new file mode 100644 index 00000000..16fbf1c6 Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl differ diff --git a/libs/libqueue/dist/libqueue-0.2.0.tar.gz b/libs/libqueue/dist/libqueue-0.2.0.tar.gz new file mode 100644 index 00000000..497c3bae Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.2.0.tar.gz differ diff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml index 9e94fad3..f3b975f8 100644 --- a/libs/libqueue/pyproject.toml +++ b/libs/libqueue/pyproject.toml @@ -5 +5 @@ name = "libqueue" -version = "0.1.11" +version = "0.2.0" diff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py index 599ba48f..415b8b13 100644 --- a/libs/libqueue/src/libqueue/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -54,10 +53,0 @@ class JobDict(TypedDict): -class DatasetJobDict(JobDict): - dataset_name: str - - -class SplitJobDict(JobDict): - dataset_name: str - config_name: str - split_name: str - - @@ -102,66 +91,0 @@ def connect_to_queue(database, host) -> None: -class DatasetJob(Document): - meta = { - "collection": "dataset_jobs", - "db_alias": "queue", - "indexes": ["status", ("dataset_name", "status")], - } - dataset_name = StringField(required=True) - created_at = DateTimeField(required=True) - started_at = DateTimeField() - finished_at = DateTimeField() - status = EnumField(Status, default=Status.WAITING) - retries = IntField(required=False, default=0) - - def to_dict(self) -> DatasetJobDict: - return { - "dataset_name": self.dataset_name, - "status": self.status.value, - "created_at": self.created_at, - "started_at": self.started_at, - "finished_at": self.finished_at, - "retries": self.retries, - } - - def to_id(self) -> str: - return f"DatasetJob[{self.dataset_name}]" - - objects = QuerySetManager["DatasetJob"]() - - -class SplitJob(Document): - meta = { - "collection": "split_jobs", - "db_alias": "queue", - "indexes": [ - "status", - ("dataset_name", "status"), - ("dataset_name", "config_name", "split_name", "status"), - ], - } - dataset_name = StringField(required=True) - config_name = StringField(required=True) - split_name = StringField(required=True) - status = EnumField(Status, default=Status.WAITING) - created_at = DateTimeField(required=True) - started_at = DateTimeField() - finished_at = DateTimeField() - retries = IntField(required=False, default=0) - - def to_dict(self) -> SplitJobDict: - return { - "dataset_name": self.dataset_name, - "config_name": self.config_name, - "split_name": self.split_name, - "status": self.status.value, - "created_at": self.created_at, - "started_at": self.started_at, - "finished_at": self.finished_at, - "retries": self.retries, - } - - def to_id(self) -> str: - return f"SplitJob[{self.dataset_name}, {self.config_name}, {self.split_name}]" - - objects = QuerySetManager["SplitJob"]() - - @@ -234 +158 @@ class FirstRowsJob(Document): -AnyJob = TypeVar("AnyJob", DatasetJob, SplitJob, SplitsJob, FirstRowsJob) +AnyJob = TypeVar("AnyJob", SplitsJob, FirstRowsJob) @@ -265,21 +188,0 @@ def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob) -> AnyJob: -def add_dataset_job(dataset_name: str, retries: Optional[int] = 0) -> None: - add_job( - DatasetJob.objects(dataset_name=dataset_name), - DatasetJob(dataset_name=dataset_name, created_at=get_datetime(), status=Status.WAITING, retries=retries), - ) - - -def add_split_job(dataset_name: str, config_name: str, split_name: str, retries: Optional[int] = 0) -> None: - add_job( - SplitJob.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name), - SplitJob( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - created_at=get_datetime(), - status=Status.WAITING, - retries=retries, - ), - ) - - @@ -362,15 +264,0 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None -def get_dataset_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str, int]: - job = start_job(DatasetJob.objects, max_jobs_per_dataset) - # ^ max_jobs_per_dataset is not very useful for the DatasetJob queue - # since only one job per dataset can exist anyway - # It's here for consistency and safeguard - return str(job.pk), job.dataset_name, job.retries - # ^ job.pk is the id. job.id is not recognized by mypy - - -def get_split_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str, str, str, int]: - job = start_job(SplitJob.objects, max_jobs_per_dataset) - return str(job.pk), job.dataset_name, job.config_name, job.split_name, job.retries - # ^ job.pk is the id. job.id is not recognized by mypy - - @@ -410,8 +297,0 @@ def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> No -def finish_dataset_job(job_id: str, success: bool) -> None: - finish_started_job(DatasetJob.objects, job_id, success) - - -def finish_split_job(job_id: str, success: bool) -> None: - finish_started_job(SplitJob.objects, job_id, success) - - @@ -427,2 +306,0 @@ def clean_database() -> None: - DatasetJob.drop_collection() # type: ignore - SplitJob.drop_collection() # type: ignore @@ -433,14 +310,0 @@ def clean_database() -> None: -def cancel_started_dataset_jobs() -> None: - for job in get_started(DatasetJob.objects): - job.update(finished_at=get_datetime(), status=Status.CANCELLED) - add_dataset_job(dataset_name=job.dataset_name, retries=job.retries) - - -def cancel_started_split_jobs() -> None: - for job in get_started(SplitJob.objects): - job.update(finished_at=get_datetime(), status=Status.CANCELLED) - add_split_job( - dataset_name=job.dataset_name, config_name=job.config_name, split_name=job.split_name, retries=job.retries - ) - - @@ -494,8 +357,0 @@ def get_jobs_count_by_status(jobs: QuerySet[AnyJob]) -> CountByStatus: -def get_dataset_jobs_count_by_status() -> CountByStatus: - return get_jobs_count_by_status(DatasetJob.objects) - - -def get_split_jobs_count_by_status() -> CountByStatus: - return get_jobs_count_by_status(SplitJob.objects) - - @@ -529,8 +384,0 @@ def get_dump_by_status(jobs: QuerySet[AnyJob], waiting_started: bool = False) -> -def get_dataset_dump_by_status(waiting_started: bool = False) -> DumpByStatus: - return get_dump_by_status(DatasetJob.objects, waiting_started) - - -def get_split_dump_by_status(waiting_started: bool = False) -> DumpByStatus: - return get_dump_by_status(SplitJob.objects, waiting_started) - - diff --git a/libs/libutils/dist/libutils-0.2.0-py3-none-any.whl b/libs/libutils/dist/libutils-0.2.0-py3-none-any.whl new file mode 100644 index 00000000..ae555690 Binary files /dev/null and b/libs/libutils/dist/libutils-0.2.0-py3-none-any.whl differ diff --git a/libs/libutils/dist/libutils-0.2.0.tar.gz b/libs/libutils/dist/libutils-0.2.0.tar.gz new file mode 100644 index 00000000..f9ad20de Binary files /dev/null and b/libs/libutils/dist/libutils-0.2.0.tar.gz differ diff --git a/libs/libutils/poetry.lock b/libs/libutils/poetry.lock index a0ed657a..0ac8bbe1 100644 --- a/libs/libutils/poetry.lock +++ b/libs/libutils/poetry.lock @@ -40,41 +39,0 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (> -[[package]] -name = "azure-core" -version = "1.24.1" -description = "Microsoft Azure Core Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -requests = ">=2.18.4" -six = ">=1.11.0" -typing-extensions = ">=4.0.1" - -[[package]] -name = "azure-identity" -version = "1.10.0" -description = "Microsoft Azure Identity Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.11.0,<2.0.0" -cryptography = ">=2.5" -msal = ">=1.12.0,<2.0.0" -msal-extensions = ">=0.3.0,<2.0.0" -six = ">=1.12.0" - -[[package]] -name = "azure-storage-blob" -version = "12.12.0" -description = "Microsoft Azure Blob Storage Client Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.23.1,<2.0.0" -cryptography = ">=2.1.4" -msrest = ">=0.6.21" - @@ -126 +85 @@ description = "Python package for providing Mozilla's CA Bundle." -category = "main" +category = "dev" @@ -130,11 +88,0 @@ python-versions = ">=3.6" -[[package]] -name = "cffi" -version = "1.15.0" -description = "Foreign Function Interface for Python calling C code." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -pycparser = "*" - @@ -145 +93 @@ description = "The Real First Universal Charset Detector. Open, modern and activ -category = "main" +category = "dev" @@ -167 +115 @@ description = "Cross-platform colored terminal text." -category = "main" +category = "dev" @@ -182,27 +129,0 @@ toml = ["tomli"] -[[package]] -name = "cryptography" -version = "37.0.2" -description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cffi = ">=1.12" - -[package.extras] -docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"] -docstest = ["pyenchant (>=1.6.11)", "twine (>=1.12.0)", "sphinxcontrib-spelling (>=4.0.1)"] -pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"] -sdist = ["setuptools_rust (>=0.11.4)"] -ssh = ["bcrypt (>=3.1.5)"] -test = ["pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] - -[[package]] -name = "docopt" -version = "0.6.2" -description = "Pythonic argument parser, that will make you smile" -category = "main" -optional = false -python-versions = "*" - @@ -225,49 +145,0 @@ pipenv = ["pipenv"] -[[package]] -name = "dpu-utils" -version = "0.6.1" -description = "Python utilities used by Deep Procedural Intelligence" -category = "main" -optional = false -python-versions = ">=3.6.1" - -[package.dependencies] -azure-identity = "*" -azure-storage-blob = "*" -cffi = "*" -docopt = "*" -numpy = "*" -regex = "*" -sentencepiece = "*" -SetSimilaritySearch = "*" -tqdm = "*" - -[[package]] -name = "elastic-transport" -version = "8.1.2" -description = "Transport classes and utilities shared among Python Elastic client libraries" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -certifi = "*" -urllib3 = ">=1.26.2,<2" - -[package.extras] -develop = ["pytest", "pytest-cov", "pytest-mock", "pytest-asyncio", "pytest-httpserver", "trustme", "mock", "requests", "aiohttp"] - -[[package]] -name = "elasticsearch" -version = "8.2.2" -description = "Python client for Elasticsearch" -category = "main" -optional = false -python-versions = ">=3.6, <4" - -[package.dependencies] -elastic-transport = ">=8,<9" - -[package.extras] -async = ["aiohttp (>=3,<4)"] -requests = ["requests (>=2.4.0,<3.0.0)"] - @@ -287,28 +158,0 @@ pyflakes = ">=2.3.0,<2.4.0" -[[package]] -name = "function-parser" -version = "0.0.3" -description = "This library contains various utils to parse GitHub repositories into function definition and docstring pairs. It is based on tree-sitter to parse code into ASTs and apply heuristics to parse metadata in more details. Currently, it supports 6 languages: Python, Java, Go, Php, Ruby, and Javascript. It also parses function calls and links them with their definitions for Python." -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -docopt = "*" -dpu-utils = "*" -elasticsearch = "*" -gitpython = "*" -pandas = "*" -pyhive = "*" -python-arango = "*" -requests = "*" -tqdm = "*" -tree-sitter = "0.0.5" - -[[package]] -name = "future" -version = "0.18.2" -description = "Clean single-source support for Python 3 and 2" -category = "main" -optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -319 +163 @@ description = "Git Object Database" -category = "main" +category = "dev" @@ -330 +174 @@ description = "GitPython is a python library used to interact with Git repositor -category = "main" +category = "dev" @@ -353,11 +196,0 @@ python-versions = "*" -[[package]] -name = "isodate" -version = "0.6.1" -description = "An ISO 8601 date/time/duration parser and formatter" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -six = "*" - @@ -386,46 +218,0 @@ python-versions = "*" -[[package]] -name = "msal" -version = "1.18.0" -description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -cryptography = ">=0.6,<40" -PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} -requests = ">=2.0.0,<3" - -[[package]] -name = "msal-extensions" -version = "1.0.0" -description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -msal = ">=0.4.1,<2.0.0" -portalocker = [ - {version = ">=1.0,<3", markers = "python_version >= \"3.5\" and platform_system != \"Windows\""}, - {version = ">=1.6,<3", markers = "python_version >= \"3.5\" and platform_system == \"Windows\""}, -] - -[[package]] -name = "msrest" -version = "0.7.1" -description = "AutoRest swagger generator Python client runtime." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.24.0" -certifi = ">=2017.4.17" -isodate = ">=0.6.0" -requests = ">=2.16,<3.0" -requests-oauthlib = ">=0.5.0" - -[package.extras] -async = ["aiodns", "aiohttp (>=3.0)"] - @@ -456,21 +242,0 @@ python-versions = "*" -[[package]] -name = "numpy" -version = "1.22.4" -description = "NumPy is the fundamental package for array computing with Python." -category = "main" -optional = false -python-versions = ">=3.8" - -[[package]] -name = "oauthlib" -version = "3.2.0" -description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.extras] -rsa = ["cryptography (>=3.0.0)"] -signals = ["blinker (>=1.4.0)"] -signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] - @@ -496,20 +261,0 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" -[[package]] -name = "pandas" -version = "1.4.2" -description = "Powerful data structures for data analysis, time series, and statistics" -category = "main" -optional = false -python-versions = ">=3.8" - -[package.dependencies] -numpy = [ - {version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""}, - {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""}, - {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""}, -] -python-dateutil = ">=2.8.1" -pytz = ">=2020.1" - -[package.extras] -test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] - @@ -567,16 +312,0 @@ tomlkit = ">=0.7.2,<0.8.0" -[[package]] -name = "portalocker" -version = "2.4.0" -description = "Wraps the portalocker recipe for easy usage" -category = "main" -optional = false -python-versions = ">=3.5" - -[package.dependencies] -pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""} - -[package.extras] -docs = ["sphinx (>=1.7.1)"] -redis = ["redis"] -tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "sphinx (>=3.0.3)", "pytest-mypy (>=0.8.0)", "redis"] - @@ -599,8 +328,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pycparser" -version = "2.21" -description = "C parser in Python" -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - @@ -615,36 +336,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pyhive" -version = "0.6.5" -description = "Python interface to Hive" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -future = "*" -python-dateutil = "*" - -[package.extras] -hive = ["sasl (>=0.2.1)", "thrift (>=0.10.0)", "thrift_sasl (>=0.1.0)"] -kerberos = ["requests_kerberos (>=0.12.0)"] -presto = ["requests (>=1.0.0)"] -sqlalchemy = ["sqlalchemy (>=1.3.0)"] -trino = ["requests (>=1.0.0)"] - -[[package]] -name = "pyjwt" -version = "2.4.0" -description = "JSON Web Token implementation in Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cryptography = {version = ">=3.3.1", optional = true, markers = "extra == \"crypto\""} - -[package.extras] -crypto = ["cryptography (>=3.3.1)"] -dev = ["sphinx", "sphinx-rtd-theme", "zope.interface", "cryptography (>=3.3.1)", "pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)", "mypy", "pre-commit"] -docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"] -tests = ["pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)"] - @@ -699,44 +384,0 @@ testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtuale -[[package]] -name = "python-arango" -version = "7.3.4" -description = "Python Driver for ArangoDB" -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -PyJWT = "*" -requests = "*" -requests-toolbelt = "*" -urllib3 = ">=1.26.0" - -[package.extras] -dev = ["black (>=22.3.0)", "flake8 (>=4.0.1)", "isort (>=5.10.1)", "mypy (>=0.942)", "mock", "pre-commit (>=2.17.0)", "pytest (>=7.1.1)", "pytest-cov (>=3.0.0)", "sphinx", "sphinx-rtd-theme", "types-pkg-resources", "types-requests"] - -[[package]] -name = "python-dateutil" -version = "2.8.2" -description = "Extensions to the standard Python datetime module" -category = "main" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" - -[package.dependencies] -six = ">=1.5" - -[[package]] -name = "pytz" -version = "2022.1" -description = "World timezone definitions, modern and historical" -category = "main" -optional = false -python-versions = "*" - -[[package]] -name = "pywin32" -version = "304" -description = "Python for Window Extensions" -category = "main" -optional = false -python-versions = "*" - @@ -751,8 +392,0 @@ python-versions = ">=3.6" -[[package]] -name = "regex" -version = "2022.6.2" -description = "Alternative regular expression module, to replace re." -category = "main" -optional = false -python-versions = ">=3.6" - @@ -763 +397 @@ description = "Python HTTP for Humans." -category = "main" +category = "dev" @@ -777,26 +410,0 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] -[[package]] -name = "requests-oauthlib" -version = "1.3.1" -description = "OAuthlib authentication support for Requests." -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - -[package.dependencies] -oauthlib = ">=3.0.0" -requests = ">=2.0.0" - -[package.extras] -rsa = ["oauthlib[signedtoken] (>=3.0.0)"] - -[[package]] -name = "requests-toolbelt" -version = "0.9.1" -description = "A utility belt for advanced users of python-requests" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -requests = ">=2.0.1,<3.0.0" - @@ -841,30 +448,0 @@ requests = "*" -[[package]] -name = "sentencepiece" -version = "0.1.96" -description = "SentencePiece python wrapper" -category = "main" -optional = false -python-versions = "*" - -[[package]] -name = "setsimilaritysearch" -version = "0.1.7" -description = "A Python library of set similarity search algorithms" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -numpy = "*" - -[package.extras] -test = ["coverage", "nose"] - -[[package]] -name = "six" -version = "1.16.0" -description = "Python 2 and 3 compatibility utilities" -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -875 +453 @@ description = "A pure Python implementation of a sliding window memory map manag -category = "main" +category = "dev" @@ -936,25 +513,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -[[package]] -name = "tqdm" -version = "4.64.0" -description = "Fast, Extensible Progress Meter" -category = "main" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" - -[package.dependencies] -colorama = {version = "*", markers = "platform_system == \"Windows\""} - -[package.extras] -dev = ["py-make (>=0.1.0)", "twine", "wheel"] -notebook = ["ipywidgets (>=6)"] -slack = ["slack-sdk"] -telegram = ["requests"] - -[[package]] -name = "tree-sitter" -version = "0.0.5" -description = "Python bindings to the Tree-sitter parsing library" -category = "main" -optional = false -python-versions = ">=3.3" - 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- -# to be deprecated -class StatusErrorContent(TypedDict): - status_code: int - exception: str - message: str - cause_exception: str - cause_message: str - cause_traceback: List[str] - - -class Status400ErrorResponse(TypedDict): - error: str - cause_exception: Optional[str] - cause_message: Optional[str] - cause_traceback: Optional[List[str]] - - -class Status500ErrorResponse(TypedDict): - error: str - - -class StatusError(Exception): - """Base class for exceptions in this module.""" - - def __init__(self, message: str, status_code: int, cause: Optional[BaseException] = None): - super().__init__(message) - self.status_code = status_code - self.exception = type(self).__name__ - self.message = str(self) - # TODO: once /splits and /rows are deprecated, remove the conditional and as_content() - if cause is None: - self.cause_exception = self.exception - self.cause_message = self.message - self.cause_traceback = [] - else: - self.cause_exception = type(cause).__name__ - self.cause_message = str(cause) - (t, v, tb) = sys.exc_info() - self.cause_traceback = traceback.format_exception(t, v, tb) - - def as_content(self) -> StatusErrorContent: - return { - "status_code": self.status_code, - "exception": self.exception, - "message": self.message, - "cause_exception": self.cause_exception, - "cause_message": self.cause_message, - "cause_traceback": self.cause_traceback, - } - - -class Status400Error(StatusError): - """Exception raised if the response must be a 400 status code. - - Attributes: - message -- the content of the response - """ - - def __init__(self, message: str, cause: Optional[BaseException] = None): - super().__init__(message, 400, cause) - - def as_response(self) -> Status400ErrorResponse: - return { - "error": self.message, - # TODO: once /splits and /rows are deprecated, remove the conditionals - "cause_exception": self.cause_exception if self.cause_message != self.message else None, - "cause_message": self.cause_message if self.cause_message != self.message else None, - "cause_traceback": self.cause_traceback if len(self.cause_traceback) else None, - } - - -class Status500Error(StatusError): - """Exception raised if the response must be a 500 status code. - - Attributes: - message -- the content of the response - """ - - def __init__(self, message: str, cause: Optional[BaseException] = None): - super().__init__(message, 500, cause) - - def as_response(self) -> Status500ErrorResponse: - return { - "error": self.message, - } diff --git a/libs/libutils/src/libutils/types.py b/libs/libutils/src/libutils/types.py deleted file mode 100644 index c5d94dcc..00000000 --- a/libs/libutils/src/libutils/types.py +++ /dev/null @@ -1,66 +0,0 @@ -from typing import Any, Dict, List, Literal, Optional, TypedDict, Union - -TimestampUnit = Literal["s", "ms", "us", "ns"] -CommonColumnType = Literal[ - "JSON", "BOOL", "INT", "FLOAT", "STRING", "IMAGE_URL", "RELATIVE_IMAGE_URL", "AUDIO_RELATIVE_SOURCES" -] -ClassLabelColumnType = Literal["CLASS_LABEL"] -TimestampColumnType = Literal["TIMESTAMP"] - - -class _BaseColumnDict(TypedDict): - name: str - - -class CommonColumnDict(_BaseColumnDict): - type: CommonColumnType - - -class ClassLabelColumnDict(_BaseColumnDict): - type: ClassLabelColumnType - labels: List[str] - - -class TimestampColumnDict(_BaseColumnDict): - type: TimestampColumnType - unit: TimestampUnit - tz: Optional[str] - - -ColumnType = Union[CommonColumnType, ClassLabelColumnType, TimestampColumnType] -ColumnDict = Union[CommonColumnDict, ClassLabelColumnDict, TimestampColumnDict] - - -class RowItem(TypedDict): - dataset: str - config: str - split: str - row_idx: int - row: Dict[str, Any] - truncated_cells: List[str] - - -class ColumnItem(TypedDict): - dataset: str - config: str - split: str - column_idx: int - column: ColumnDict - - -class RowsResponse(TypedDict): - columns: List[ColumnItem] - rows: List[RowItem] - - -class Split(TypedDict): - split_name: str - rows_response: RowsResponse - num_bytes: Optional[int] - num_examples: Optional[int] - - -class SplitFullName(TypedDict): - dataset_name: str - config_name: str - split_name: str diff --git a/libs/libutils/tests/test_types.py b/libs/libutils/tests/test_types.py deleted file mode 100644 index 86114531..00000000 --- a/libs/libutils/tests/test_types.py +++ /dev/null @@ -1,66 +0,0 @@ -from typing import get_args - -from libutils.types import ( - ClassLabelColumnType, - ColumnDict, - CommonColumnType, - TimestampColumnType, - TimestampUnit, -) - - -def test_timestamp_unit() -> None: - assert get_args(TimestampUnit) == ("s", "ms", "us", "ns") - assert set(get_args(TimestampUnit)) == {"s", "ms", "us", "ns"} - assert list(get_args(TimestampUnit)) == ["s", "ms", "us", "ns"] - assert "ms" in get_args(TimestampUnit) - - -def test_column_type() -> None: - assert set(get_args(CommonColumnType)) == { - "JSON", - "BOOL", - "INT", - "FLOAT", - "STRING", - "IMAGE_URL", - "RELATIVE_IMAGE_URL", - "AUDIO_RELATIVE_SOURCES", - } - assert set(get_args(ClassLabelColumnType)) == {"CLASS_LABEL"} - assert set(get_args(TimestampColumnType)) == {"TIMESTAMP"} - - -def test_column_dict() -> None: - # allowed - col: ColumnDict = {"name": "mycol", "type": "JSON"} - labels: ColumnDict = { - "name": "mycol", - "type": "CLASS_LABEL", - "labels": ["positive", "negative", "neutral"], - } - timestamp: ColumnDict = { - "name": "mycol", - "type": "TIMESTAMP", - "tz": None, - "unit": "ms", - } - # not allowed - missing_field: ColumnDict = { - "name": "mycol", - "type": "TIMESTAMP", - "tz": None, - } # type: ignore - wrong_type: ColumnDict = { - "name": "mycol", - "type": "JSON", # type: ignore - "tz": None, - "unit": "ms", - } - - # nothing to test, we just want to ensure that mypy doesn't break - assert col - assert labels - assert timestamp - assert missing_field - assert wrong_type diff --git a/services/admin/README.md b/services/admin/README.md index 093f0413..10758a3e 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -46,2 +45,0 @@ The scripts: -- `cancel-jobs-rows`: cancel all the started jobs for /rows (stop the workers before!) -- `cancel-jobs-splits-next`: cancel all the started jobs for /splits-next (stop the workers before!) @@ -49,4 +47,3 @@ The scripts: -- `refresh-cache`: add a /splits-next job for every HF dataset -- `refresh-cache-canonical`: add a /splits-next job for every HF canonical dataset -- `refresh-cache-errors`: add a /splits-next job for every erroneous HF dataset -- `warm-cache`: create /splits-next and /first-rows jobs for all the missing datasets and/or splits +- `refresh-cache`: add a /splits job for every HF dataset +- `refresh-cache-canonical`: add a /splits job for every HF canonical dataset +- `refresh-cache-errors`: add a /splits job for every erroneous HF dataset @@ -79 +76 @@ Responses: - "/splits-next": [{ "dataset": "sent_comp", "status": "200", "error": null }], + "/splits": [{ "dataset": "sent_comp", "status": "200", "error": null }], @@ -126,8 +122,0 @@ Responses: - "/rows": { - "waiting": [], - "started": [] - }, - "/splits-next": { - "waiting": [], - "started": [] - }, diff --git a/services/admin/Scripts.mk b/services/admin/Scripts.mk index 3518bb5a..6d120522 100644 --- a/services/admin/Scripts.mk +++ b/services/admin/Scripts.mk @@ -5,8 +4,0 @@ cancel-jobs-splits: -.PHONY: cancel-jobs-rows -cancel-jobs-rows: - poetry run python src/admin/scripts/cancel_jobs_rows.py - -.PHONY: cancel-jobs-splits-next -cancel-jobs-splits-next: - poetry run python src/admin/scripts/cancel_jobs_splits_next.py - @@ -28,5 +19,0 @@ refresh-cache-errors: - -.PHONY: warm-cache -warm-cache: - poetry run python src/admin/scripts/warm_cache.py - diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 26a3ae28..c06ac345 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -59,41 +58,0 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (> -[[package]] -name = "azure-core" -version = "1.24.1" -description = "Microsoft Azure Core Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -requests = ">=2.18.4" -six = ">=1.11.0" -typing-extensions = ">=4.0.1" - -[[package]] -name = "azure-identity" -version = "1.10.0" -description = "Microsoft Azure Identity Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.11.0,<2.0.0" -cryptography = ">=2.5" -msal = ">=1.12.0,<2.0.0" -msal-extensions = ">=0.3.0,<2.0.0" -six = ">=1.12.0" - -[[package]] -name = "azure-storage-blob" -version = "12.12.0" -description = "Microsoft Azure Blob Storage Client Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.23.1,<2.0.0" -cryptography = ">=2.1.4" -msrest = ">=0.6.21" - @@ -149,11 +107,0 @@ python-versions = ">=3.6" -[[package]] -name = "cffi" -version = "1.15.0" -description = "Foreign Function Interface for Python calling C code." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -pycparser = "*" - @@ -201,19 +148,0 @@ toml = ["tomli"] -[[package]] -name = "cryptography" -version = "37.0.2" -description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cffi = ">=1.12" - -[package.extras] -docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"] -docstest = ["pyenchant (>=1.6.11)", "twine (>=1.12.0)", "sphinxcontrib-spelling (>=4.0.1)"] -pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"] -sdist = ["setuptools_rust (>=0.11.4)"] -ssh = ["bcrypt (>=3.1.5)"] -test = ["pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] - @@ -232,8 +160,0 @@ IDNA = ["idna (>=2.1)"] -[[package]] -name = "docopt" -version = "0.6.2" -description = "Pythonic argument parser, that will make you smile" -category = "main" -optional = false -python-versions = "*" - @@ -256,49 +176,0 @@ pipenv = ["pipenv"] -[[package]] -name = "dpu-utils" -version = "0.6.1" -description = "Python utilities used by Deep Procedural Intelligence" -category = "main" -optional = false -python-versions = ">=3.6.1" - -[package.dependencies] -azure-identity = "*" -azure-storage-blob = "*" -cffi = "*" -docopt = "*" -numpy = "*" -regex = "*" -sentencepiece = "*" -SetSimilaritySearch = "*" -tqdm = "*" - -[[package]] -name = "elastic-transport" -version = "8.1.2" -description = "Transport classes and utilities shared among Python Elastic client libraries" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -certifi = "*" -urllib3 = ">=1.26.2,<2" - -[package.extras] -develop = ["pytest", "pytest-cov", "pytest-mock", "pytest-asyncio", "pytest-httpserver", "trustme", "mock", "requests", "aiohttp"] - -[[package]] -name = "elasticsearch" -version = "8.2.2" -description = "Python client for Elasticsearch" -category = "main" -optional = false -python-versions = ">=3.6, <4" - -[package.dependencies] -elastic-transport = ">=8,<9" - -[package.extras] -async = ["aiohttp (>=3,<4)"] -requests = ["requests (>=2.4.0,<3.0.0)"] - @@ -330,28 +201,0 @@ pyflakes = ">=2.3.0,<2.4.0" -[[package]] -name = "function-parser" -version = "0.0.3" -description = "This library contains various utils to parse GitHub repositories into function definition and docstring pairs. It is based on tree-sitter to parse code into ASTs and apply heuristics to parse metadata in more details. Currently, it supports 6 languages: Python, Java, Go, Php, Ruby, and Javascript. It also parses function calls and links them with their definitions for Python." -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -docopt = "*" -dpu-utils = "*" -elasticsearch = "*" -gitpython = "*" -pandas = "*" -pyhive = "*" -python-arango = "*" -requests = "*" -tqdm = "*" -tree-sitter = "0.0.5" - -[[package]] -name = "future" -version = "0.18.2" -description = "Clean single-source support for Python 3 and 2" -category = "main" -optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -362 +206 @@ description = "Git Object Database" -category = "main" +category = "dev" @@ -373 +217 @@ description = "GitPython is a python library used to interact with Git repositor -category = "main" +category = "dev" @@ -429,11 +272,0 @@ python-versions = "*" -[[package]] -name = "isodate" -version = "0.6.1" -description = "An ISO 8601 date/time/duration parser and formatter" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -six = "*" - @@ -456 +289 @@ name = "libcache" -version = "0.1.27" +version = "0.2.1" @@ -470 +303 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.27-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.2.1-py3-none-any.whl" @@ -474 +307 @@ name = "libqueue" -version = "0.1.10" +version = "0.2.0" @@ -487 +320 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl" @@ -491 +324 @@ name = "libutils" -version = "0.1.11" +version = "0.2.0" @@ -498 +330,0 @@ python-versions = "==3.9.6" -function-parser = ">=0.0.3,<0.0.4" @@ -504 +336 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.2.0-py3-none-any.whl" @@ -533,46 +364,0 @@ pymongo = ">=3.4,<5.0" -[[package]] -name = "msal" -version = "1.18.0" -description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -cryptography = ">=0.6,<40" -PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} -requests = ">=2.0.0,<3" - -[[package]] -name = "msal-extensions" -version = "1.0.0" -description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -msal = ">=0.4.1,<2.0.0" -portalocker = [ - {version = ">=1.0,<3", markers = "python_version >= \"3.5\" and platform_system != \"Windows\""}, - {version = ">=1.6,<3", markers = "python_version >= \"3.5\" and platform_system == \"Windows\""}, -] - -[[package]] -name = "msrest" -version = "0.7.1" -description = "AutoRest swagger generator Python client runtime." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.24.0" -certifi = ">=2017.4.17" -isodate = ">=0.6.0" -requests = ">=2.16,<3.0" -requests-oauthlib = ">=0.5.0" - -[package.extras] -async = ["aiodns", "aiohttp (>=3.0)"] - @@ -603,21 +388,0 @@ python-versions = "*" -[[package]] -name = "numpy" -version = "1.22.4" -description = "NumPy is the fundamental package for array computing with Python." -category = "main" -optional = false -python-versions = ">=3.8" - -[[package]] -name = "oauthlib" -version = "3.2.0" -description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.extras] -rsa = ["cryptography (>=3.0.0)"] -signals = ["blinker (>=1.4.0)"] -signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] - @@ -643,20 +407,0 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" -[[package]] -name = "pandas" -version = "1.4.2" -description = "Powerful data structures for data analysis, time series, and statistics" -category = "main" -optional = false -python-versions = ">=3.8" - -[package.dependencies] -numpy = [ - {version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""}, - {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""}, - {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""}, -] -python-dateutil = ">=2.8.1" -pytz = ">=2020.1" - -[package.extras] -test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] - @@ -714,16 +458,0 @@ tomlkit = ">=0.7.2,<0.8.0" -[[package]] -name = "portalocker" -version = "2.4.0" -description = "Wraps the portalocker recipe for easy usage" -category = "main" -optional = false -python-versions = ">=3.5" - -[package.dependencies] -pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""} - -[package.extras] -docs = ["sphinx (>=1.7.1)"] -redis = ["redis"] -tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "sphinx (>=3.0.3)", "pytest-mypy (>=0.8.0)", "redis"] - @@ -757,8 +485,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pycparser" -version = "2.21" -description = "C parser in Python" -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - @@ -773,36 +493,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pyhive" -version = "0.6.5" -description = "Python interface to Hive" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -future = "*" -python-dateutil = "*" - -[package.extras] -hive = ["sasl (>=0.2.1)", "thrift (>=0.10.0)", "thrift_sasl (>=0.1.0)"] -kerberos = ["requests_kerberos (>=0.12.0)"] -presto = ["requests (>=1.0.0)"] -sqlalchemy = ["sqlalchemy (>=1.3.0)"] -trino = ["requests (>=1.0.0)"] - -[[package]] -name = "pyjwt" -version = "2.4.0" -description = "JSON Web Token implementation in Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cryptography = {version = ">=3.3.1", optional = true, markers = "extra == \"crypto\""} - -[package.extras] -crypto = ["cryptography (>=3.3.1)"] -dev = ["sphinx", "sphinx-rtd-theme", "zope.interface", "cryptography (>=3.3.1)", "pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)", "mypy", "pre-commit"] -docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"] -tests = ["pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)"] - @@ -878,28 +562,0 @@ testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtuale -[[package]] -name = "python-arango" -version = "7.3.4" -description = "Python Driver for ArangoDB" -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -PyJWT = "*" -requests = "*" -requests-toolbelt = "*" -urllib3 = ">=1.26.0" - -[package.extras] -dev = ["black (>=22.3.0)", "flake8 (>=4.0.1)", "isort (>=5.10.1)", "mypy (>=0.942)", "mock", "pre-commit (>=2.17.0)", "pytest (>=7.1.1)", "pytest-cov (>=3.0.0)", "sphinx", "sphinx-rtd-theme", "types-pkg-resources", "types-requests"] - -[[package]] -name = "python-dateutil" -version = "2.8.2" -description = "Extensions to the standard Python datetime module" -category = "main" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" - -[package.dependencies] -six = ">=1.5" - @@ -917,16 +573,0 @@ cli = ["click (>=5.0)"] -[[package]] -name = "pytz" -version = "2022.1" -description = "World timezone definitions, modern and historical" -category = "main" -optional = false -python-versions = "*" - -[[package]] -name = "pywin32" -version = "304" -description = "Python for Window Extensions" -category = "main" -optional = false -python-versions = "*" - @@ -941,8 +581,0 @@ python-versions = ">=3.6" -[[package]] -name = "regex" -version = "2022.6.2" -description = "Alternative regular expression module, to replace re." -category = "main" -optional = false -python-versions = ">=3.6" - @@ -967,26 +599,0 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] -[[package]] -name = "requests-oauthlib" -version = "1.3.1" -description = "OAuthlib authentication support for Requests." -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - -[package.dependencies] -oauthlib = ">=3.0.0" -requests = ">=2.0.0" - -[package.extras] -rsa = ["oauthlib[signedtoken] (>=3.0.0)"] - -[[package]] -name = "requests-toolbelt" -version = "0.9.1" -description = "A utility belt for advanced users of python-requests" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -requests = ">=2.0.1,<3.0.0" - @@ -1031,30 +637,0 @@ requests = "*" -[[package]] -name = "sentencepiece" -version = "0.1.96" -description = "SentencePiece python wrapper" -category = "main" -optional = false -python-versions = "*" - -[[package]] -name = "setsimilaritysearch" -version = "0.1.7" -description = "A Python library of set similarity search algorithms" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -numpy = "*" - -[package.extras] -test = ["coverage", "nose"] - -[[package]] -name = "six" -version = "1.16.0" -description = "Python 2 and 3 compatibility utilities" -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -1065 +642 @@ description = "A pure Python implementation of a sliding window memory map manag -category = "main" +category = "dev" @@ -1155,8 +731,0 @@ telegram = ["requests"] -[[package]] -name = "tree-sitter" -version = "0.0.5" -description = "Python bindings to the Tree-sitter parsing library" -category = "main" -optional = false -python-versions = ">=3.3" - @@ -1225 +794 @@ python-versions = "3.9.6" -content-hash = "4838f10ffdee3e7f42b0edf1d26cb01f9f087da50ead819af4b7002682bf7599" +content-hash = "6f2b9cc486a7729c0668d5c5bad30291f29d2a8b26466c85613e242826049e98" @@ -1248,12 +816,0 @@ attrs = [ -azure-core = [ - {file = "azure-core-1.24.1.zip", hash = "sha256:39c5d59d04209bb70a1a7ee879cef05d07bc76472cd3fb5eaa2e607a90d312bb"}, - 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cache_reports_splits_next_endpoint, + cache_reports_splits_endpoint, @@ -48 +48 @@ def create_app() -> Starlette: - Route("/cache-reports/splits-next", endpoint=cache_reports_splits_next_endpoint), + Route("/cache-reports/splits", endpoint=cache_reports_splits_endpoint), diff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py index ccf80d8f..ead8b030 100644 --- a/services/admin/src/admin/prometheus.py +++ b/services/admin/src/admin/prometheus.py @@ -4 +3,0 @@ from typing import Dict -from libcache.cache import get_datasets_count_by_status, get_splits_count_by_status @@ -10 +8,0 @@ from libqueue.queue import ( - get_dataset_jobs_count_by_status, @@ -12 +9,0 @@ from libqueue.queue import ( - get_split_jobs_count_by_status, @@ -60,4 +56,0 @@ class Prometheus: - for status, total in get_dataset_jobs_count_by_status().items(): - self.metrics["queue_jobs_total"].labels(queue="/splits", status=status).set(total) - for status, total in get_split_jobs_count_by_status().items(): - self.metrics["queue_jobs_total"].labels(queue="/rows", status=status).set(total) @@ -65 +58 @@ class Prometheus: - self.metrics["queue_jobs_total"].labels(queue="/splits-next", status=status).set(total) + self.metrics["queue_jobs_total"].labels(queue="/splits", status=status).set(total) @@ -69,4 +61,0 @@ class Prometheus: - for status, total in get_datasets_count_by_status().items(): - self.metrics["cache_entries_total"].labels(cache="/splits", status=status).set(total) - for status, total in get_splits_count_by_status().items(): - self.metrics["cache_entries_total"].labels(cache="/rows", status=status).set(total) diff --git a/services/admin/src/admin/routes/cache_reports.py b/services/admin/src/admin/routes/cache_reports.py index 338e0e4a..43ff68a6 100644 --- a/services/admin/src/admin/routes/cache_reports.py +++ b/services/admin/src/admin/routes/cache_reports.py @@ -7 +7 @@ from libcache.simple_cache import ( - get_cache_reports_splits_next, + get_cache_reports_splits, @@ -42 +42 @@ async def cache_reports_first_rows_endpoint(request: Request) -> Response: -async def cache_reports_splits_next_endpoint(request: Request) -> Response: +async def cache_reports_splits_endpoint(request: Request) -> Response: @@ -45 +45 @@ async def cache_reports_splits_next_endpoint(request: Request) -> Response: - logger.info(f"/cache-reports/splits-next, cursor={cursor}") + logger.info(f"/cache-reports/splits, cursor={cursor}") @@ -47 +47 @@ async def cache_reports_splits_next_endpoint(request: Request) -> Response: - return get_json_ok_response(get_cache_reports_splits_next(cursor, CACHE_REPORTS_NUM_RESULTS)) + return get_json_ok_response(get_cache_reports_splits(cursor, CACHE_REPORTS_NUM_RESULTS)) diff --git a/services/admin/src/admin/routes/pending_jobs.py b/services/admin/src/admin/routes/pending_jobs.py index 96622bb7..894e23ff 100644 --- a/services/admin/src/admin/routes/pending_jobs.py +++ b/services/admin/src/admin/routes/pending_jobs.py @@ -4,6 +4 @@ import time -from libqueue.queue import ( - get_dataset_dump_by_status, - get_first_rows_dump_by_status, - get_split_dump_by_status, - get_splits_dump_by_status, -) +from libqueue.queue import get_first_rows_dump_by_status, get_splits_dump_by_status @@ -23,3 +18 @@ async def pending_jobs_endpoint(_: Request) -> Response: - "/splits": get_dataset_dump_by_status(waiting_started=True), - "/rows": get_split_dump_by_status(waiting_started=True), - "/splits-next": get_splits_dump_by_status(waiting_started=True), + "/splits": get_splits_dump_by_status(waiting_started=True), diff --git a/services/admin/src/admin/scripts/cancel_jobs_rows.py b/services/admin/src/admin/scripts/cancel_jobs_rows.py deleted file mode 100644 index dd53b4bf..00000000 --- a/services/admin/src/admin/scripts/cancel_jobs_rows.py +++ /dev/null @@ -1,13 +0,0 @@ -import logging - -from libqueue.queue import cancel_started_split_jobs, connect_to_queue -from libutils.logger import init_logger - -from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL - -if __name__ == "__main__": - init_logger(LOG_LEVEL, "cancel_jobs_rows") - logger = logging.getLogger("cancel_jobs_rows") - connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) - cancel_started_split_jobs() - logger.info("all the started jobs in the splits queue have been cancelled and re-enqueued") diff --git a/services/admin/src/admin/scripts/cancel_jobs_splits.py b/services/admin/src/admin/scripts/cancel_jobs_splits.py index 0ebd5729..7cf68777 100644 --- a/services/admin/src/admin/scripts/cancel_jobs_splits.py +++ b/services/admin/src/admin/scripts/cancel_jobs_splits.py @@ -3 +3 @@ import logging -from libqueue.queue import cancel_started_dataset_jobs, connect_to_queue +from libqueue.queue import cancel_started_splits_jobs, connect_to_queue @@ -12,2 +12,2 @@ if __name__ == "__main__": - cancel_started_dataset_jobs() - logger.info("all the started jobs in the datasets queue have been cancelled and re-enqueued") + cancel_started_splits_jobs() + logger.info("all the started jobs in the splits/ queue have been cancelled and re-enqueued") diff --git a/services/admin/src/admin/scripts/cancel_jobs_splits_next.py b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py deleted file mode 100644 index c91829fa..00000000 --- a/services/admin/src/admin/scripts/cancel_jobs_splits_next.py +++ /dev/null @@ -1,13 +0,0 @@ -import logging - -from libqueue.queue import cancel_started_splits_jobs, connect_to_queue -from libutils.logger import init_logger - -from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL - -if __name__ == "__main__": - init_logger(LOG_LEVEL, "cancel_jobs_splits_next") - logger = logging.getLogger("cancel_jobs_splits_next") - connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) - cancel_started_splits_jobs() - logger.info("all the started jobs in the splits-next/ queue have been cancelled and re-enqueued") diff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py deleted file mode 100644 index 50742c0f..00000000 --- a/services/admin/src/admin/scripts/warm_cache.py +++ /dev/null @@ -1,56 +0,0 @@ -import logging -from typing import List - 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config = split_full_name["config"] - split = split_full_name["split"] - # don't mark the cache entries as stale, because it's manually triggered - add_first_rows_job(dataset, config, split) - logger.info(f"added a job to refresh split '{split}' from dataset '{dataset}' with config '{config}'") - else: - logger.debug(f"dataset already in the cache: '{dataset}'") - - # TODO? also warm splits/ and first-rows/ caches. For now, there are no methods to - # get access to the stale status, and there is no more logic relation between both cache, - # so: we should have to read the splits/ cache responses to know which first-rows/ to - # refresh. It seems a bit too much, and this script is not really used anymore. - - -if __name__ == "__main__": - init_logger(LOG_LEVEL, "warm_cache") - logger = logging.getLogger("warm_cache") - connect_to_cache(MONGO_CACHE_DATABASE, MONGO_URL) - connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) - warm_cache(get_hf_dataset_names()) - logger.info("all the missing datasets have been added to the queue") diff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py deleted file mode 100644 index effe08f7..00000000 --- a/services/admin/tests/scripts/test_warm_cache.py +++ /dev/null @@ -1,12 +0,0 @@ -from admin.scripts.warm_cache import get_hf_dataset_names - -from ..fixtures.hub import DatasetRepos - - -# get_dataset_names -def test_get_hf_dataset_names(hf_dataset_repos_csv_data: DatasetRepos) -> None: - dataset_names = get_hf_dataset_names() - assert len(dataset_names) >= 2 - assert hf_dataset_repos_csv_data["public"] in dataset_names - assert hf_dataset_repos_csv_data["gated"] in dataset_names - assert hf_dataset_repos_csv_data["private"] not in dataset_names diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index ae4f31e6..0b3489b4 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -6 +6 @@ import pytest -from libcache.cache import clean_database as clean_cache_database +from libcache.simple_cache import _clean_database as clean_cache_database @@ -77,3 +77 @@ def test_metrics(client: TestClient) -> None: - assert 'queue_jobs_total{queue="/splits",status="waiting"}' in metrics - assert 'queue_jobs_total{queue="/rows",status="success"}' in metrics - assert 'queue_jobs_total{queue="/splits-next",status="started"}' in metrics + assert 'queue_jobs_total{queue="/splits",status="started"}' in metrics @@ -81 +78,0 @@ def test_metrics(client: TestClient) -> None: - assert 'cache_entries_total{cache="/splits",status="valid"}' in metrics @@ -83,3 +80 @@ def test_metrics(client: TestClient) -> None: - assert 'responses_in_cache_total{path="/rows",http_status="200",error_code=null}' not in metrics - # still empty - assert 'responses_in_cache_total{path="/splits-next",http_status="200",error_code=null}' not in metrics + assert 'responses_in_cache_total{path="/splits",http_status="200",error_code=null}' not in metrics @@ -94 +89 @@ def test_pending_jobs(client: TestClient) -> None: - for e in ["/splits", "/rows", "/splits-next", "/first-rows"]: + for e in ["/splits", "/first-rows"]: @@ -102,3 +97,3 @@ def test_pending_jobs(client: TestClient) -> None: - ("/splits-next", None, 200, None), - ("/splits-next", "", 200, None), - ("/splits-next", "invalid cursor", 422, "InvalidParameter"), + ("/splits", None, 200, None), + ("/splits", "", 200, None), + ("/splits", "invalid cursor", 422, "InvalidParameter"), diff --git a/services/api/poetry.lock b/services/api/poetry.lock index a7ea4de6..3d2e4baf 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -59,41 +58,0 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (> -[[package]] -name = "azure-core" -version = "1.24.1" -description = "Microsoft Azure Core Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -requests = ">=2.18.4" -six = ">=1.11.0" -typing-extensions = ">=4.0.1" - -[[package]] -name = "azure-identity" -version = "1.10.0" -description = "Microsoft Azure Identity Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.11.0,<2.0.0" -cryptography = ">=2.5" -msal = ">=1.12.0,<2.0.0" -msal-extensions = ">=0.3.0,<2.0.0" -six = ">=1.12.0" - -[[package]] -name = "azure-storage-blob" -version = "12.12.0" -description = "Microsoft Azure Blob Storage Client Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.23.1,<2.0.0" -cryptography = ">=2.1.4" -msrest = ">=0.6.21" - @@ -145 +104 @@ description = "Python package for providing Mozilla's CA Bundle." -category = "main" +category = "dev" @@ -149,11 +107,0 @@ python-versions = ">=3.6" -[[package]] -name = "cffi" -version = "1.15.0" -description = "Foreign Function Interface for Python calling C code." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -pycparser = "*" - @@ -164 +112 @@ description = "The Real First Universal Charset Detector. Open, modern and activ -category = "main" +category = "dev" @@ -201,19 +148,0 @@ toml = ["tomli"] -[[package]] -name = "cryptography" -version = "37.0.2" -description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cffi = ">=1.12" - -[package.extras] -docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"] -docstest = ["pyenchant (>=1.6.11)", "twine (>=1.12.0)", "sphinxcontrib-spelling (>=4.0.1)"] -pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"] -sdist = ["setuptools_rust (>=0.11.4)"] -ssh = ["bcrypt (>=3.1.5)"] -test = ["pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] - @@ -232,8 +160,0 @@ IDNA = ["idna (>=2.1)"] -[[package]] -name = "docopt" -version = "0.6.2" -description = "Pythonic argument parser, that will make you smile" -category = "main" -optional = false -python-versions = "*" - @@ -256,49 +176,0 @@ pipenv = ["pipenv"] -[[package]] -name = "dpu-utils" -version = "0.6.1" -description = "Python utilities used by Deep Procedural Intelligence" -category = "main" -optional = false -python-versions = ">=3.6.1" - -[package.dependencies] -azure-identity = "*" -azure-storage-blob = "*" -cffi = "*" -docopt = "*" -numpy = "*" -regex = "*" -sentencepiece = "*" -SetSimilaritySearch = "*" -tqdm = "*" - -[[package]] -name = "elastic-transport" -version = "8.1.2" -description = "Transport classes and utilities shared among Python Elastic client libraries" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -certifi = "*" -urllib3 = ">=1.26.2,<2" - -[package.extras] -develop = ["pytest", "pytest-cov", "pytest-mock", "pytest-asyncio", "pytest-httpserver", "trustme", "mock", "requests", "aiohttp"] - -[[package]] -name = "elasticsearch" -version = "8.2.2" -description = "Python client for Elasticsearch" -category = "main" -optional = false -python-versions = ">=3.6, <4" - -[package.dependencies] -elastic-transport = ">=8,<9" - -[package.extras] -async = ["aiohttp (>=3,<4)"] -requests = ["requests (>=2.4.0,<3.0.0)"] - @@ -318,28 +189,0 @@ pyflakes = ">=2.3.0,<2.4.0" -[[package]] -name = "function-parser" -version = "0.0.3" -description = "This library contains various utils to parse GitHub repositories into function definition and docstring pairs. It is based on tree-sitter to parse code into ASTs and apply heuristics to parse metadata in more details. Currently, it supports 6 languages: Python, Java, Go, Php, Ruby, and Javascript. It also parses function calls and links them with their definitions for Python." -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -docopt = "*" -dpu-utils = "*" -elasticsearch = "*" -gitpython = "*" -pandas = "*" -pyhive = "*" -python-arango = "*" -requests = "*" -tqdm = "*" -tree-sitter = "0.0.5" - -[[package]] -name = "future" -version = "0.18.2" -description = "Clean single-source support for Python 3 and 2" -category = "main" -optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -350 +194 @@ description = "Git Object Database" -category = "main" +category = "dev" @@ -361 +205 @@ description = "GitPython is a python library used to interact with Git repositor -category = "main" +category = "dev" @@ -392,11 +235,0 @@ python-versions = "*" -[[package]] -name = "isodate" -version = "0.6.1" -description = "An ISO 8601 date/time/duration parser and formatter" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -six = "*" - @@ -419 +252 @@ name = "libcache" -version = "0.1.28" +version = "0.2.1" @@ -433 +266 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.28-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.2.1-py3-none-any.whl" @@ -437 +270 @@ name = "libqueue" -version = "0.1.10" +version = "0.2.0" @@ -450 +283 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl" @@ -454 +287 @@ name = "libutils" -version = "0.1.11" +version = "0.2.0" @@ -461 +293,0 @@ python-versions = "==3.9.6" -function-parser = ">=0.0.3,<0.0.4" @@ -467 +299 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.2.0-py3-none-any.whl" @@ -496,46 +327,0 @@ pymongo = ">=3.4,<5.0" -[[package]] -name = "msal" -version = "1.18.0" -description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -cryptography = ">=0.6,<40" -PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} -requests = ">=2.0.0,<3" - -[[package]] -name = "msal-extensions" -version = "1.0.0" -description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -msal = ">=0.4.1,<2.0.0" -portalocker = [ - {version = ">=1.0,<3", markers = "python_version >= \"3.5\" and platform_system != \"Windows\""}, - {version = ">=1.6,<3", markers = "python_version >= \"3.5\" and platform_system == \"Windows\""}, -] - -[[package]] -name = "msrest" -version = "0.7.1" -description = "AutoRest swagger generator Python client runtime." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.24.0" -certifi = ">=2017.4.17" -isodate = ">=0.6.0" -requests = ">=2.16,<3.0" -requests-oauthlib = ">=0.5.0" - -[package.extras] -async = ["aiodns", "aiohttp (>=3.0)"] - @@ -566,21 +351,0 @@ python-versions = "*" -[[package]] -name = "numpy" -version = "1.22.4" -description = "NumPy is the fundamental package for array computing with Python." -category = "main" -optional = false -python-versions = ">=3.8" - -[[package]] -name = "oauthlib" -version = "3.2.0" -description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.extras] -rsa = ["cryptography (>=3.0.0)"] -signals = ["blinker (>=1.4.0)"] -signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] - @@ -606,20 +370,0 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" -[[package]] -name = "pandas" -version = "1.4.2" -description = "Powerful data structures for data analysis, time series, and statistics" -category = "main" -optional = false -python-versions = ">=3.8" - -[package.dependencies] -numpy = [ - {version = ">=1.18.5", markers = "platform_machine != \"aarch64\" and platform_machine != \"arm64\" and python_version < \"3.10\""}, - {version = ">=1.19.2", markers = "platform_machine == \"aarch64\" and python_version < \"3.10\""}, - {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""}, -] -python-dateutil = ">=2.8.1" -pytz = ">=2020.1" - -[package.extras] -test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] - @@ -677,16 +421,0 @@ tomlkit = ">=0.7.2,<0.8.0" -[[package]] -name = "portalocker" -version = "2.4.0" -description = "Wraps the portalocker recipe for easy usage" -category = "main" -optional = false -python-versions = ">=3.5" - -[package.dependencies] -pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""} - -[package.extras] -docs = ["sphinx (>=1.7.1)"] -redis = ["redis"] -tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "sphinx (>=3.0.3)", "pytest-mypy (>=0.8.0)", "redis"] - @@ -720,8 +448,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pycparser" -version = "2.21" -description = "C parser in Python" -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - @@ -736,36 +456,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pyhive" -version = "0.6.5" -description = "Python interface to Hive" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -future = "*" -python-dateutil = "*" - -[package.extras] -hive = ["sasl (>=0.2.1)", "thrift (>=0.10.0)", "thrift_sasl (>=0.1.0)"] -kerberos = ["requests_kerberos (>=0.12.0)"] -presto = ["requests (>=1.0.0)"] -sqlalchemy = ["sqlalchemy (>=1.3.0)"] -trino = ["requests (>=1.0.0)"] - -[[package]] -name = "pyjwt" -version = "2.4.0" -description = "JSON Web Token implementation in Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cryptography = {version = ">=3.3.1", optional = true, markers = "extra == \"crypto\""} - -[package.extras] -crypto = ["cryptography (>=3.3.1)"] -dev = ["sphinx", "sphinx-rtd-theme", "zope.interface", "cryptography (>=3.3.1)", "pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)", "mypy", "pre-commit"] -docs = ["sphinx", "sphinx-rtd-theme", "zope.interface"] -tests = ["pytest (>=6.0.0,<7.0.0)", "coverage[toml] (==5.0.4)"] - @@ -841,28 +525,0 @@ testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtuale -[[package]] -name = "python-arango" -version = "7.3.4" -description = "Python Driver for ArangoDB" -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -PyJWT = "*" -requests = "*" -requests-toolbelt = "*" -urllib3 = ">=1.26.0" - -[package.extras] -dev = ["black (>=22.3.0)", "flake8 (>=4.0.1)", "isort (>=5.10.1)", "mypy (>=0.942)", "mock", "pre-commit (>=2.17.0)", "pytest (>=7.1.1)", "pytest-cov (>=3.0.0)", "sphinx", "sphinx-rtd-theme", "types-pkg-resources", "types-requests"] - -[[package]] -name = "python-dateutil" -version = "2.8.2" -description = "Extensions to the standard Python datetime module" -category = "main" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7" - -[package.dependencies] -six = ">=1.5" - @@ -880,16 +536,0 @@ cli = ["click (>=5.0)"] -[[package]] -name = "pytz" -version = "2022.1" -description = "World timezone definitions, modern and historical" -category = "main" -optional = false -python-versions = "*" - -[[package]] -name = "pywin32" -version = "304" -description = "Python for Window Extensions" -category = "main" -optional = false -python-versions = "*" - @@ -904,8 +544,0 @@ python-versions = ">=3.6" -[[package]] -name = "regex" -version = "2022.6.2" -description = "Alternative regular expression module, to replace re." -category = "main" -optional = false -python-versions = ">=3.6" - @@ -916 +549 @@ description = "Python HTTP for Humans." -category = "main" +category = "dev" @@ -930,26 +562,0 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] -[[package]] -name = "requests-oauthlib" -version = "1.3.1" -description = "OAuthlib authentication support for Requests." -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" - -[package.dependencies] -oauthlib = ">=3.0.0" -requests = ">=2.0.0" - -[package.extras] -rsa = ["oauthlib[signedtoken] (>=3.0.0)"] - -[[package]] -name = "requests-toolbelt" -version = "0.9.1" -description = "A utility belt for advanced users of python-requests" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -requests = ">=2.0.1,<3.0.0" - @@ -1009,30 +615,0 @@ requests = "*" -[[package]] -name = "sentencepiece" -version = "0.1.96" -description = "SentencePiece python wrapper" -category = "main" -optional = false -python-versions = "*" - -[[package]] -name = "setsimilaritysearch" -version = "0.1.7" -description = "A Python library of set similarity search algorithms" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -numpy = "*" - -[package.extras] -test = ["coverage", "nose"] - -[[package]] -name = "six" -version = "1.16.0" -description = "Python 2 and 3 compatibility utilities" -category = "main" -optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -1043 +620 @@ description = "A pure Python implementation of a sliding window memory map manag -category = "main" +category = "dev" @@ -1116,25 +692,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" -[[package]] -name = "tqdm" -version = "4.64.0" -description = "Fast, Extensible Progress Meter" -category = "main" -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" - -[package.dependencies] -colorama = {version = "*", markers = "platform_system == \"Windows\""} - -[package.extras] -dev = ["py-make (>=0.1.0)", "twine", "wheel"] -notebook = ["ipywidgets (>=6)"] -slack = ["slack-sdk"] -telegram = ["requests"] - -[[package]] -name = "tree-sitter" -version = "0.0.5" -description = "Python bindings to the Tree-sitter parsing library" -category = "main" -optional = false -python-versions = ">=3.3" - 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Route("/valid", endpoint=valid_datasets_endpoint), + Route("/valid", endpoint=valid_endpoint), @@ -58,3 +55 @@ def create_app() -> Starlette: - Route("/splits-next", endpoint=create_splits_next_endpoint(EXTERNAL_AUTH_URL)), - Route("/valid-next", endpoint=valid_next_endpoint), - Route("/is-valid-next", endpoint=create_is_valid_next_endpoint(EXTERNAL_AUTH_URL)), + Route("/splits", endpoint=create_splits_endpoint(EXTERNAL_AUTH_URL)), @@ -63,2 +58,3 @@ def create_app() -> Starlette: - Route("/rows", endpoint=rows_endpoint), - Route("/splits", endpoint=splits_endpoint), + Route("/valid-next", endpoint=valid_endpoint), + Route("/is-valid-next", endpoint=create_is_valid_endpoint(EXTERNAL_AUTH_URL)), + Route("/splits-next", endpoint=create_splits_endpoint(EXTERNAL_AUTH_URL)), @@ -68,2 +64 @@ def create_app() -> Starlette: - Route("/webhook", endpoint=webhook_endpoint_with_deprecated, methods=["POST"]), - Route("/webhook-next", endpoint=webhook_endpoint, methods=["POST"]), + Route("/webhook", endpoint=webhook_endpoint, methods=["POST"]), diff --git a/services/api/src/api/middleware/__init__.py b/services/api/src/api/middleware/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/services/api/src/api/middleware/token.py b/services/api/src/api/middleware/token.py deleted file mode 100644 index 54adde08..00000000 --- a/services/api/src/api/middleware/token.py +++ /dev/null @@ -1,74 +0,0 @@ -from typing import Tuple, Union - -from starlette.authentication import AuthCredentials, AuthenticationBackend, BaseUser -from starlette.middleware import Middleware -from starlette.middleware.authentication import AuthenticationMiddleware -from starlette.requests import HTTPConnection - -from api.constants import DEFAULT_DATASETS_ENABLE_PRIVATE - - -def get_token(request: HTTPConnection) -> Union[str, None]: - try: - if "Authorization" not in request.headers: - return None - auth = request.headers["Authorization"] - scheme, token = auth.split() - except Exception: - return None - if scheme.lower() != "bearer": - return None - return token - - -# it's not really correct: the token does not authenticate a user -class TokenUser(BaseUser): - def __init__(self, token: str) -> None: - self.username = "token" - self._token = token - - @property - def is_authenticated(self) -> bool: - return True - - @property - def display_name(self) -> str: - return self.username - - @property - def token(self) -> Union[str, None]: - return self._token - - -class UnauthenticatedTokenUser(BaseUser): - @property - def is_authenticated(self) -> bool: - return False - - @property - def display_name(self) -> str: - return "" - - @property - def token(self) -> Union[str, None]: - return None - - -class TokenAuthBackend(AuthenticationBackend): - def __init__(self, datasets_enable_private: bool = DEFAULT_DATASETS_ENABLE_PRIVATE): - super().__init__() - self.datasets_enable_private = datasets_enable_private - - async def authenticate( - self, request: HTTPConnection - ) -> Tuple[AuthCredentials, Union[TokenUser, UnauthenticatedTokenUser]]: - token = get_token(request) - if token is None or not self.datasets_enable_private: - return AuthCredentials([]), UnauthenticatedTokenUser() - return AuthCredentials(["token"]), TokenUser(token) - - -def get_token_middleware(datasets_enable_private: bool = DEFAULT_DATASETS_ENABLE_PRIVATE) -> Middleware: - return Middleware( - AuthenticationMiddleware, backend=TokenAuthBackend(datasets_enable_private=datasets_enable_private) - ) diff --git a/services/api/src/api/routes/rows.py b/services/api/src/api/routes/rows.py deleted file mode 100644 index 3c52bc71..00000000 --- a/services/api/src/api/routes/rows.py +++ /dev/null @@ -1,38 +0,0 @@ -import logging - -from libcache.cache import get_rows_response -from libutils.exceptions import Status400Error, Status500Error, StatusError -from starlette.requests import Request -from starlette.responses import Response - -from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS -from api.utils import get_response - -logger = logging.getLogger(__name__) - - -async def rows_endpoint(request: Request) -> Response: - try: - dataset_name = request.query_params.get("dataset") - config_name = request.query_params.get("config") - split_name = request.query_params.get("split") - logger.info(f"/rows, dataset={dataset_name}, config={config_name}, split={split_name}") - - try: - if ( - not isinstance(dataset_name, str) - or not isinstance(config_name, str) - or not isinstance(split_name, str) - ): - raise Status400Error("Parameters 'dataset', 'config' and 'split' are required") - rows_response, rows_error, status_code = get_rows_response(dataset_name, config_name, split_name) - return get_response(rows_response or rows_error, status_code, MAX_AGE_LONG_SECONDS) - except StatusError as err: - e = ( - Status400Error("The split is being processed. Retry later.") - if err.message == "The split cache is empty." - else err - ) - return get_response(e.as_content(), e.status_code, MAX_AGE_SHORT_SECONDS) - except Exception as err: - return get_response(Status500Error("Unexpected error.", err).as_content(), 500, MAX_AGE_SHORT_SECONDS) diff --git a/services/api/src/api/routes/splits.py b/services/api/src/api/routes/splits.py index a2a620ea..5043dfce 100644 --- a/services/api/src/api/routes/splits.py +++ b/services/api/src/api/routes/splits.py @@ -1,0 +2,2 @@ import logging +from http import HTTPStatus +from typing import Optional @@ -3,2 +5,2 @@ import logging -from libcache.cache import get_splits_response -from libutils.exceptions import Status400Error, Status500Error, StatusError +from libcache.simple_cache import DoesNotExist, get_splits_response +from libqueue.queue import is_splits_response_in_process @@ -8,2 +10,13 @@ from starlette.responses import Response -from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS -from api.utils import get_response +from api.authentication import auth_check +from api.utils import ( + ApiCustomError, + Endpoint, + MissingRequiredParameterError, + SplitsResponseNotFoundError, + SplitsResponseNotReadyError, + UnexpectedError, + are_valid_parameters, + get_json_api_error_response, + get_json_error_response, + get_json_ok_response, +) @@ -14,5 +27,2 @@ logger = logging.getLogger(__name__) -async def splits_endpoint(request: Request) -> Response: - try: - dataset_name = request.query_params.get("dataset") - logger.info(f"/splits, dataset={dataset_name}") - +def create_splits_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: + async def splits_endpoint(request: Request) -> Response: @@ -20,13 +30,26 @@ async def splits_endpoint(request: Request) -> Response: - if not isinstance(dataset_name, str): - raise Status400Error("Parameter 'dataset' is required") - splits_response, splits_error, status_code = get_splits_response(dataset_name) - return get_response(splits_response or splits_error, status_code, MAX_AGE_LONG_SECONDS) - except StatusError as err: - e = ( - Status400Error("The dataset is being processed. Retry later.") - if err.message == "The dataset cache is empty." - else err - ) - return get_response(e.as_content(), e.status_code, MAX_AGE_SHORT_SECONDS) - except Exception as err: - return get_response(Status500Error("Unexpected error.", err).as_content(), 500, MAX_AGE_SHORT_SECONDS) + dataset_name = request.query_params.get("dataset") + logger.info(f"/splits, dataset={dataset_name}") + + if not are_valid_parameters([dataset_name]): + raise MissingRequiredParameterError("Parameter 'dataset' is required") + # if auth_check fails, it will raise an exception that will be caught below + auth_check(dataset_name, external_auth_url=external_auth_url, request=request) + try: + response, http_status, error_code = get_splits_response(dataset_name) + if http_status == HTTPStatus.OK: + return get_json_ok_response(response) + else: + return get_json_error_response(response, http_status, error_code) + except DoesNotExist as e: + if is_splits_response_in_process(dataset_name): + raise SplitsResponseNotReadyError( + "The list of splits is not ready yet. Please retry later." + ) from e + else: + raise SplitsResponseNotFoundError("Not found.") from e + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception as err: + return get_json_api_error_response(UnexpectedError("Unexpected error.", err)) + + return splits_endpoint diff --git a/services/api/src/api/routes/splits_next.py b/services/api/src/api/routes/splits_next.py deleted file mode 100644 index 1268ed71..00000000 --- a/services/api/src/api/routes/splits_next.py +++ /dev/null @@ -1,55 +0,0 @@ -import logging -from http import HTTPStatus -from typing import Optional - -from libcache.simple_cache import DoesNotExist, get_splits_response -from libqueue.queue import is_splits_response_in_process -from starlette.requests import Request -from starlette.responses import Response - -from api.authentication import auth_check -from api.utils import ( - ApiCustomError, - Endpoint, - MissingRequiredParameterError, - SplitsResponseNotFoundError, - SplitsResponseNotReadyError, - UnexpectedError, - are_valid_parameters, - get_json_api_error_response, - get_json_error_response, - get_json_ok_response, -) - -logger = logging.getLogger(__name__) - - -def create_splits_next_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - async def splits_next_endpoint(request: Request) -> Response: - try: - dataset_name = request.query_params.get("dataset") - logger.info(f"/splits-next, dataset={dataset_name}") - - if not are_valid_parameters([dataset_name]): - raise MissingRequiredParameterError("Parameter 'dataset' is required") - # if auth_check fails, it will raise an exception that will be caught below - auth_check(dataset_name, external_auth_url=external_auth_url, request=request) - try: - response, http_status, error_code = get_splits_response(dataset_name) - if http_status == HTTPStatus.OK: - return get_json_ok_response(response) - else: - return get_json_error_response(response, http_status, error_code) - except DoesNotExist as e: - if is_splits_response_in_process(dataset_name): - raise SplitsResponseNotReadyError( - "The list of splits is not ready yet. Please retry later." - ) from e - else: - raise SplitsResponseNotFoundError("Not found.") from e - except ApiCustomError as e: - return get_json_api_error_response(e) - except Exception as err: - return get_json_api_error_response(UnexpectedError("Unexpected error.", err)) - - return splits_next_endpoint diff --git a/services/api/src/api/routes/valid.py b/services/api/src/api/routes/valid.py index 5529eada..061faea3 100644 --- a/services/api/src/api/routes/valid.py +++ b/services/api/src/api/routes/valid.py @@ -2 +1,0 @@ import logging -import time @@ -5,4 +4 @@ from typing import Optional -from libcache.cache import ( - get_valid_or_stale_dataset_names, - is_dataset_name_valid_or_stale, -) +from libcache.simple_cache import get_valid_dataset_names, is_dataset_name_valid @@ -26 +22 @@ logger = logging.getLogger(__name__) -async def valid_datasets_endpoint(_: Request) -> Response: +async def valid_endpoint(_: Request) -> Response: @@ -29,4 +25 @@ async def valid_datasets_endpoint(_: Request) -> Response: - content = { - "valid": get_valid_or_stale_dataset_names(), - "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), - } + content = {"valid": get_valid_dataset_names()} @@ -48 +41 @@ def create_is_valid_endpoint(external_auth_url: Optional[str] = None) -> Endpoin - "valid": is_dataset_name_valid_or_stale(dataset_name), + "valid": is_dataset_name_valid(dataset_name), diff --git a/services/api/src/api/routes/valid_next.py b/services/api/src/api/routes/valid_next.py deleted file mode 100644 index 41215386..00000000 --- a/services/api/src/api/routes/valid_next.py +++ /dev/null @@ -1,49 +0,0 @@ -import logging -from typing import Optional - -from libcache.simple_cache import get_valid_dataset_names, is_dataset_name_valid -from starlette.requests import Request -from starlette.responses import Response - -from api.authentication import auth_check -from api.utils import ( - ApiCustomError, - Endpoint, - MissingRequiredParameterError, - UnexpectedError, - are_valid_parameters, - get_json_api_error_response, - get_json_ok_response, -) - -logger = logging.getLogger(__name__) - - -async def valid_next_endpoint(_: Request) -> Response: - try: - logger.info("/valid-next") - content = {"valid": get_valid_dataset_names()} - return get_json_ok_response(content) - except Exception: - return get_json_api_error_response(UnexpectedError("Unexpected error.")) - - -def create_is_valid_next_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: - async def is_valid_next_endpoint(request: Request) -> Response: - try: - dataset_name = request.query_params.get("dataset") - logger.info(f"/is-valid, dataset={dataset_name}") - if not are_valid_parameters([dataset_name]): - raise MissingRequiredParameterError("Parameter 'dataset' is required") - # if auth_check fails, it will raise an exception that will be caught below - auth_check(dataset_name, external_auth_url=external_auth_url, request=request) - content = { - "valid": is_dataset_name_valid(dataset_name), - } - return get_json_ok_response(content) - except ApiCustomError as e: - return get_json_api_error_response(e) - except Exception: - return get_json_api_error_response(UnexpectedError("Unexpected error.")) - - return is_valid_next_endpoint diff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py index 08e2f9cc..3ffe90c2 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -4 +3,0 @@ from typing import Any, Optional, TypedDict -from libcache.cache import create_or_mark_dataset_as_stale, delete_dataset_cache @@ -11 +10 @@ from libcache.simple_cache import ( -from libqueue.queue import add_dataset_job, add_splits_job +from libqueue.queue import add_splits_job @@ -52 +51 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]: -def try_to_update(id: Optional[str], with_deprecated: bool) -> None: +def try_to_update(id: Optional[str]) -> None: @@ -56,3 +54,0 @@ def try_to_update(id: Optional[str], with_deprecated: bool) -> None: - if with_deprecated: - create_or_mark_dataset_as_stale(dataset_name) - add_dataset_job(dataset_name) @@ -65 +61 @@ def try_to_update(id: Optional[str], with_deprecated: bool) -> None: -def try_to_delete(id: Optional[str], with_deprecated: bool) -> None: +def try_to_delete(id: Optional[str]) -> None: @@ -69,2 +64,0 @@ def try_to_delete(id: Optional[str], with_deprecated: bool) -> None: - if with_deprecated: - delete_dataset_cache(dataset_name) @@ -76,22 +70,4 @@ def try_to_delete(id: Optional[str], with_deprecated: bool) -> None: -def process_payload(payload: MoonWebhookV2Payload, with_deprecated=False) -> None: - try_to_update(payload["add"], with_deprecated) - try_to_update(payload["update"], with_deprecated) - try_to_delete(payload["remove"], with_deprecated) - - -async def webhook_endpoint_with_deprecated(request: Request) -> Response: - try: - json = await request.json() - except Exception: - content = {"status": "error", "error": "the body could not be parsed as a JSON"} - return get_response(content, 400) - logger.info(f"/webhook: {json}") - try: - payload = parse_payload(json) - except Exception: - content = {"status": "error", "error": "the JSON payload is invalid"} - return get_response(content, 400) - - process_payload(payload, with_deprecated=True) - content = {"status": "ok"} - return get_response(content, 200) +def process_payload(payload: MoonWebhookV2Payload) -> None: + try_to_update(payload["add"]) + try_to_update(payload["update"]) + try_to_delete(payload["remove"]) @@ -106 +82 @@ async def webhook_endpoint(request: Request) -> Response: - logger.info(f"/webhook-next: {json}") + logger.info(f"/webhook: {json}") diff --git a/services/api/tests/middleware/__init__.py b/services/api/tests/middleware/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/services/api/tests/middleware/test_token.py b/services/api/tests/middleware/test_token.py deleted file mode 100644 index e3c04d4e..00000000 --- a/services/api/tests/middleware/test_token.py +++ /dev/null @@ -1,20 +0,0 @@ -from typing import Dict - -from starlette.datastructures import Headers -from starlette.requests import Request - -from api.middleware.token import get_token - - -def build_request(headers: Dict[str, str] = None) -> Request: - if headers is None: - headers = {} - return Request({"type": "http", "headers": Headers(headers).raw}) - - -def test_get_token() -> None: - assert get_token(build_request({"Authorization": "Bearer some_token"})) == "some_token" - assert get_token(build_request({"Authorization": "beArER some_token"})) == "some_token" - assert get_token(build_request({"Authorization": "Basic some_token"})) is None - assert get_token(build_request({"Authorization": "Bearersome_token"})) is None - assert get_token(build_request({})) is None diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 782fa5c5..7e0f78fd 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -8,5 +8 @@ import responses -from libcache.cache import clean_database as clean_cache_database -from libcache.cache import ( - create_or_mark_dataset_as_stale, - create_or_mark_split_as_stale, -) +from libcache.simple_cache import _clean_database as clean_cache_database @@ -19,6 +15 @@ from libcache.simple_cache import ( -from libqueue.queue import ( - add_dataset_job, - add_first_rows_job, - add_split_job, - add_splits_job, -) +from libqueue.queue import add_first_rows_job, add_splits_job @@ -90,7 +80,0 @@ def test_get_valid_datasets(client: TestClient) -> None: -def test_get_valid__next_datasets(client: TestClient) -> None: - response = client.get("/valid-next") - assert response.status_code == 200 - json = response.json() - assert "valid" in json - - @@ -111,14 +94,0 @@ def test_get_is_valid(client: TestClient) -> None: [email protected] -def test_get_is_valid_next(client: TestClient) -> None: - response = client.get("/is-valid-next") - assert response.status_code == 422 - - dataset = "doesnotexist" - responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) - response = client.get("/is-valid-next", params={"dataset": dataset}) - assert response.status_code == 200 - json = response.json() - assert "valid" in json - assert json["valid"] is False - - @@ -140 +110 @@ def test_is_valid_auth( - response = client.get(f"/is-valid-next?dataset={dataset}", headers=headers) + response = client.get(f"/is-valid?dataset={dataset}", headers=headers) @@ -154,6 +123,0 @@ def test_get_splits(client: TestClient) -> None: - assert response.status_code == 400 - - -def test_get_splits_next(client: TestClient) -> None: - # missing parameter - response = client.get("/splits-next") @@ -162 +126 @@ def test_get_splits_next(client: TestClient) -> None: - response = client.get("/splits-next?dataset=") + response = client.get("/splits?dataset=") @@ -176 +140 @@ def test_get_splits_next(client: TestClient) -> None: -def test_splits_next_auth(client: TestClient, headers: Dict[str, str], status_code: int, error_code: str) -> None: +def test_splits_auth(client: TestClient, headers: Dict[str, str], status_code: int, error_code: str) -> None: @@ -179 +143 @@ def test_splits_next_auth(client: TestClient, headers: Dict[str, str], status_co - response = client.get(f"/splits-next?dataset={dataset}", headers=headers) + response = client.get(f"/splits?dataset={dataset}", headers=headers) @@ -197,31 +160,0 @@ def test_get_first_rows(client: TestClient) -> None: -def test_get_rows(client: TestClient) -> None: - response = client.get("/rows") - assert response.status_code == 400 - - # not found - response = client.get("/rows", params={"dataset": "doesnotexist", "config": "default", "split": "doesnotexist"}) - assert response.status_code == 400 - - -def test_dataset_cache_refreshing(client: TestClient) -> None: - dataset = "acronym_identification" - response = client.get("/splits", params={"dataset": dataset}) - assert response.json()["message"] == "The dataset does not exist." - add_dataset_job(dataset) - create_or_mark_dataset_as_stale(dataset) - response = client.get("/splits", params={"dataset": dataset}) - assert response.json()["message"] == "The dataset is being processed. Retry later." - - -def test_split_cache_refreshing(client: TestClient) -> None: - dataset = "acronym_identification" - config = "default" - split = "train" - response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) - assert response.json()["message"] == "The split does not exist." - add_split_job(dataset, config, split) - create_or_mark_split_as_stale({"dataset_name": dataset, "config_name": config, "split_name": split}, 0) - response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) - assert response.json()["message"] == "The split is being processed. Retry later." - - @@ -233 +166 @@ def test_splits_cache_refreshing(client: TestClient) -> None: - response = client.get("/splits-next", params={"dataset": dataset}) + response = client.get("/splits", params={"dataset": dataset}) @@ -238 +171 @@ def test_splits_cache_refreshing(client: TestClient) -> None: - response = client.get("/splits-next", params={"dataset": dataset}) + response = client.get("/splits", params={"dataset": dataset}) @@ -242 +175 @@ def test_splits_cache_refreshing(client: TestClient) -> None: - response = client.get("/splits-next", params={"dataset": dataset}) + response = client.get("/splits", params={"dataset": dataset}) diff --git a/services/worker/.env.example b/services/worker/.env.example index 5b591c17..3c25cafe 100644 --- a/services/worker/.env.example +++ b/services/worker/.env.example @@ -58,2 +58,2 @@ -# Job queue the worker will pull jobs from: 'datasets' or 'splits' -# WORKER_QUEUE = datasets +# Job queue the worker will pull jobs from: 'splits_responses' or 'first_rows_responses' +# WORKER_QUEUE = splits_responses diff --git a/services/worker/README.md b/services/worker/README.md index 87e028ff..65214f17 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -11,13 +11 @@ See [INSTALL](./INSTALL.md#Install) -Launch the worker to preprocess the datasets queue: - -```bash -WORKER_QUEUE=datasets make run -``` - -Launch the worker to preprocess the splits queue: - -```bash -WORKER_QUEUE=splits make run -``` - -Launch the worker to preprocess the splits-next/ responses: +Launch the worker to preprocess the splits/ responses: @@ -58 +46 @@ Set environment variables to configure the following aspects: -- `WORKER_QUEUE`: name of the queue the worker will pull jobs from. It can be equal to `datasets`, `splits`, `splits_responses` or `first_rows_responses`. The `datasets` and `splits_responses` jobs should be a lot faster than the `splits` or `first_rows_responses` ones, so that we should need a lot more workers for `splits`/`first_rows_responses` than for `datasets`/`splits_responses`. Defaults to `datasets`. +- `WORKER_QUEUE`: name of the queue the worker will pull jobs from. It can be equal to `splits_responses` or `first_rows_responses`. The `splits_responses` jobs should be a lot faster than the `first_rows_responses` ones, so that we should need a lot more workers for `first_rows_responses` than for `splits_responses`. Defaults to `splits_responses`. diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 91c94ee1..e3dbde9a 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -152,41 +151,0 @@ python-versions = "*" -[[package]] -name = "azure-core" -version = "1.24.1" -description = "Microsoft Azure Core Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -requests = ">=2.18.4" -six = ">=1.11.0" -typing-extensions = ">=4.0.1" - -[[package]] -name = "azure-identity" -version = "1.10.0" -description = "Microsoft Azure Identity Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.11.0,<2.0.0" -cryptography = ">=2.5" -msal = ">=1.12.0,<2.0.0" -msal-extensions = ">=0.3.0,<2.0.0" -six = ">=1.12.0" - -[[package]] -name = "azure-storage-blob" -version = "12.12.0" -description = "Microsoft Azure Blob Storage Client Library for Python" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.23.1,<2.0.0" -cryptography = ">=2.1.4" -msrest = ">=0.6.21" - @@ -387,19 +345,0 @@ python-versions = "*" -[[package]] -name = "cryptography" -version = "37.0.2" -description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -cffi = ">=1.12" - -[package.extras] -docs = ["sphinx (>=1.6.5,!=1.8.0,!=3.1.0,!=3.1.1)", "sphinx-rtd-theme"] -docstest = ["pyenchant (>=1.6.11)", "twine (>=1.12.0)", "sphinxcontrib-spelling (>=4.0.1)"] -pep8test = ["black", "flake8", "flake8-import-order", "pep8-naming"] -sdist = ["setuptools_rust (>=0.11.4)"] -ssh = ["bcrypt (>=3.1.5)"] -test = ["pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] - @@ -500,49 +439,0 @@ pipenv = ["pipenv"] -[[package]] -name = "dpu-utils" -version = "0.6.1" -description = "Python utilities used by Deep Procedural Intelligence" -category = "main" -optional = false -python-versions = ">=3.6.1" - -[package.dependencies] -azure-identity = "*" -azure-storage-blob = "*" -cffi = "*" -docopt = "*" -numpy = "*" -regex = "*" -sentencepiece = "*" -SetSimilaritySearch = "*" -tqdm = "*" - -[[package]] -name = "elastic-transport" -version = "8.1.2" -description = "Transport classes and utilities shared among Python Elastic client libraries" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -certifi = "*" -urllib3 = ">=1.26.2,<2" - -[package.extras] -develop = ["pytest", "pytest-cov", "pytest-mock", "pytest-asyncio", "pytest-httpserver", "trustme", "mock", "requests", "aiohttp"] - -[[package]] -name = "elasticsearch" -version = "8.2.3" -description = "Python client for Elasticsearch" -category = "main" -optional = false -python-versions = ">=3.6, <4" - -[package.dependencies] -elastic-transport = ">=8,<9" - -[package.extras] -async = ["aiohttp (>=3,<4)"] -requests = ["requests (>=2.4.0,<3.0.0)"] - @@ -647,28 +537,0 @@ tqdm = ["tqdm"] -[[package]] -name = "function-parser" -version = "0.0.3" -description = "This library contains various utils to parse GitHub repositories into function definition and docstring pairs. It is based on tree-sitter to parse code into ASTs and apply heuristics to parse metadata in more details. Currently, it supports 6 languages: Python, Java, Go, Php, Ruby, and Javascript. It also parses function calls and links them with their definitions for Python." -category = "main" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -docopt = "*" -dpu-utils = "*" -elasticsearch = "*" -gitpython = "*" -pandas = "*" -pyhive = "*" -python-arango = "*" -requests = "*" -tqdm = "*" -tree-sitter = "0.0.5" - -[[package]] -name = "future" -version = "0.18.2" -description = "Clean single-source support for Python 3 and 2" -category = "main" -optional = false -python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" - @@ -702 +565 @@ description = "Git Object Database" -category = "main" +category = "dev" @@ -713 +576 @@ description = "GitPython is a python library used to interact with Git repositor -category = "main" +category = "dev" @@ -877,11 +739,0 @@ python-versions = "*" -[[package]] -name = "isodate" -version = "0.6.1" -description = "An ISO 8601 date/time/duration parser and formatter" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -six = "*" - @@ -968 +820 @@ name = "libcache" -version = "0.1.23" +version = "0.2.1" @@ -982 +834 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.2.1-py3-none-any.whl" @@ -994 +846 @@ name = "libqueue" -version = "0.1.11" +version = "0.2.0" @@ -1007 +859 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.2.0-py3-none-any.whl" @@ -1037 +889 @@ name = "libutils" -version = "0.1.11" +version = "0.2.0" @@ -1044 +895,0 @@ python-versions = "==3.9.6" -function-parser = ">=0.0.3,<0.0.4" @@ -1050 +901 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.2.0-py3-none-any.whl" @@ -1128,46 +978,0 @@ pymongo = ">=3.4,<5.0" -[[package]] -name = "msal" -version = "1.18.0" -description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -cryptography = ">=0.6,<40" -PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]} -requests = ">=2.0.0,<3" - -[[package]] -name = "msal-extensions" -version = "1.0.0" -description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism." -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -msal = ">=0.4.1,<2.0.0" -portalocker = [ - {version = ">=1.0,<3", markers = "python_version >= \"3.5\" and platform_system != \"Windows\""}, - {version = ">=1.6,<3", markers = "python_version >= \"3.5\" and platform_system == \"Windows\""}, -] - -[[package]] -name = "msrest" -version = "0.7.1" -description = "AutoRest swagger generator Python client runtime." -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -azure-core = ">=1.24.0" -certifi = ">=2017.4.17" -isodate = ">=0.6.0" -requests = ">=2.16,<3.0" -requests-oauthlib = ">=0.5.0" - -[package.extras] -async = ["aiodns", "aiohttp (>=3.0)"] - @@ -1459,16 +1263,0 @@ xxhash = ["xxhash (>=1.4.3)"] -[[package]] -name = "portalocker" -version = "2.4.0" -description = "Wraps the portalocker recipe for easy usage" -category = "main" -optional = false -python-versions = ">=3.5" - -[package.dependencies] -pywin32 = {version = ">=226", markers = "platform_system == \"Windows\""} - -[package.extras] -docs = ["sphinx (>=1.7.1)"] -redis = ["redis"] -tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "sphinx (>=3.0.3)", "pytest-mypy (>=0.8.0)", "redis"] - @@ -1634,19 +1422,0 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" -[[package]] -name = "pyhive" -version = "0.6.5" -description = "Python interface to Hive" -category = "main" -optional = false -python-versions = "*" - -[package.dependencies] -future = "*" -python-dateutil = "*" - -[package.extras] -hive = ["sasl (>=0.2.1)", "thrift (>=0.10.0)", "thrift_sasl (>=0.1.0)"] -kerberos = ["requests_kerberos (>=0.12.0)"] -presto = ["requests (>=1.0.0)"] -sqlalchemy = ["sqlalchemy (>=1.3.0)"] -trino = ["requests (>=1.0.0)"] - @@ -1661,17 +1430,0 @@ python-versions = "*" -[[package]] -name = "pyjwt" -version = "2.4.0" -description = "JSON Web Token implementation in Python" -category = "main" -optional = false -python-versions = ">=3.6" - 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-from libqueue.queue import ( - EmptyQueue, - add_dataset_job, - add_split_job, - finish_dataset_job, - finish_split_job, - get_dataset_job, - get_split_job, -) -from libutils.exceptions import Status500Error, StatusError - -from worker.config import ( - HF_TOKEN, - MAX_JOB_RETRIES, - MAX_JOBS_PER_DATASET, - MAX_SIZE_FALLBACK, - ROWS_MAX_BYTES, - ROWS_MAX_NUMBER, - ROWS_MIN_NUMBER, -) -from worker.deprecated.refresh import refresh_dataset, refresh_split - - -def process_next_dataset_job() -> bool: - logger = logging.getLogger("datasets_server.worker") - logger.debug("try to process a dataset job") - - try: - job_id, dataset_name, retries = get_dataset_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset_name}") - except EmptyQueue: - logger.debug("no job in the queue") - return False - - success = False - retry = False - try: - logger.info(f"compute dataset={dataset_name}") - refresh_dataset(dataset_name=dataset_name, hf_token=HF_TOKEN) - success = True - except StatusError as e: - if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES: - retry = True - # in any case: don't raise the StatusError, and go to finally - finally: - finish_dataset_job(job_id, success=success) - result = "success" if success else "error" - logger.debug(f"job finished with {result}: {job_id} for dataset={dataset_name}") - if retry: - add_dataset_job(dataset_name, retries=retries + 1) - logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset_name}") - return True - - -def process_next_split_job() -> bool: - logger = logging.getLogger("datasets_server.worker") - logger.debug("try to process a split job") - - try: - job_id, dataset_name, config_name, split_name, retries = get_split_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset_name} config={config_name} split={split_name}") - except EmptyQueue: - logger.debug("no job in the queue") - return False - - success = False - retry = False - try: - logger.info(f"compute dataset={dataset_name} config={config_name} split={split_name}") - refresh_split( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - hf_token=HF_TOKEN, - max_size_fallback=MAX_SIZE_FALLBACK, - rows_max_bytes=ROWS_MAX_BYTES, - rows_max_number=ROWS_MAX_NUMBER, - rows_min_number=ROWS_MIN_NUMBER, - ) - success = True - except StatusError as e: - if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES: - retry = True - # in any case: don't raise the StatusError, and go to finally - finally: - finish_split_job(job_id, success=success) - result = "success" if success else "error" - logger.debug( - f"job finished with {result}: {job_id} for dataset={dataset_name} config={config_name} split={split_name}" - ) - if retry: - add_split_job(dataset_name, config_name, split_name, retries=retries + 1) - logger.debug( - f"job re-enqueued (retries: {retries}) for" - f" dataset={dataset_name} config={config_name} split={split_name}" - ) - return True diff --git a/services/worker/src/worker/deprecated/models/__init__.py b/services/worker/src/worker/deprecated/models/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/services/worker/src/worker/deprecated/models/asset.py b/services/worker/src/worker/deprecated/models/asset.py deleted file mode 100644 index e512d514..00000000 --- a/services/worker/src/worker/deprecated/models/asset.py +++ /dev/null @@ -1,72 +0,0 @@ -import logging -import os -from typing import List, Tuple, TypedDict - -import soundfile # type:ignore -from libcache.asset import init_assets_dir -from numpy import ndarray # type:ignore -from PIL import Image # type: ignore -from pydub import AudioSegment # type:ignore - -from worker.config import ASSETS_DIRECTORY - -logger = logging.getLogger(__name__) - -DATASET_SEPARATOR = "--" -ASSET_DIR_MODE = 0o755 - - -def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column: str) -> Tuple[str, str]: - assets_dir = init_assets_dir(ASSETS_DIRECTORY) - dir_path = os.path.join(assets_dir, dataset, DATASET_SEPARATOR, config, split, str(row_idx), column) - url_dir_path = f"{dataset}/{DATASET_SEPARATOR}/{config}/{split}/{row_idx}/{column}" - os.makedirs(dir_path, ASSET_DIR_MODE, exist_ok=True) - return dir_path, url_dir_path - - -def create_image_file( - dataset: str, - config: str, - split: str, - row_idx: int, - column: str, - filename: str, - image: Image.Image, - assets_base_url: str, -) -> str: - dir_path, url_dir_path = create_asset_dir(dataset, config, split, row_idx, column) - file_path = os.path.join(dir_path, filename) - image.save(file_path) - return f"{assets_base_url}/{url_dir_path}/{filename}" - - -class AudioSource(TypedDict): - src: str - type: str - - -def create_audio_files( - dataset: str, - config: str, - split: str, - row_idx: int, - column: str, - array: ndarray, - sampling_rate: int, - assets_base_url: str, -) -> List[AudioSource]: - wav_filename = "audio.wav" - mp3_filename = "audio.mp3" - dir_path, url_dir_path = create_asset_dir(dataset, config, split, row_idx, column) - wav_file_path = os.path.join(dir_path, wav_filename) - mp3_file_path = os.path.join(dir_path, mp3_filename) - soundfile.write(wav_file_path, array, sampling_rate) - segment = AudioSegment.from_wav(wav_file_path) - segment.export(mp3_file_path, format="mp3") - return [ - {"src": f"{assets_base_url}/{url_dir_path}/{mp3_filename}", "type": "audio/mpeg"}, - {"src": f"{assets_base_url}/{url_dir_path}/{wav_filename}", "type": "audio/wav"}, - ] - - -# TODO: add a function to flush all the assets of a dataset diff --git a/services/worker/src/worker/deprecated/models/column/__init__.py b/services/worker/src/worker/deprecated/models/column/__init__.py deleted file mode 100644 index c9a4ce45..00000000 --- a/services/worker/src/worker/deprecated/models/column/__init__.py +++ /dev/null @@ -1,90 +0,0 @@ -import contextlib -from typing import List, Union - -from datasets import DatasetInfo, Features -from libutils.exceptions import Status400Error - -from worker.config import ROWS_MAX_NUMBER -from worker.deprecated.models.column.audio import AudioColumn -from worker.deprecated.models.column.bool import BoolColumn -from worker.deprecated.models.column.class_label import ClassLabelColumn -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - Column, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, -) -from worker.deprecated.models.column.float import FloatColumn -from worker.deprecated.models.column.image import ImageColumn -from worker.deprecated.models.column.image_array2d import ImageArray2DColumn -from worker.deprecated.models.column.image_array3d import ImageArray3DColumn -from worker.deprecated.models.column.image_url import ImageUrlColumn -from worker.deprecated.models.column.int import IntColumn -from worker.deprecated.models.column.string import StringColumn -from worker.deprecated.models.column.timestamp import TimestampColumn -from worker.deprecated.models.row import Row - -timestamp_column_classes = [ - TimestampColumn, -] - -class_label_column_classes = [ - ClassLabelColumn, -] - -common_column_classes = [ - AudioColumn, - ImageColumn, - ImageArray2DColumn, - ImageArray3DColumn, - ImageUrlColumn, - BoolColumn, - IntColumn, - FloatColumn, - StringColumn, -] - -FeaturesOrNone = Union[Features, None] - -MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK = ROWS_MAX_NUMBER - - -def get_column(column_name: str, features: FeaturesOrNone, rows: List[Row]) -> Column: - feature = None if features is None else features[column_name] - try: - values = [row[column_name] for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK]] - except KeyError as e: - raise Status400Error("one column is missing in the dataset rows", e) from e - - # try until one works - for timestamp_column_class in timestamp_column_classes: - with contextlib.suppress(ColumnTypeError, CellTypeError, ColumnInferenceError): - return timestamp_column_class(column_name, feature, values) - for class_label_column_class in class_label_column_classes: - with contextlib.suppress(ColumnTypeError, CellTypeError, ColumnInferenceError): - return class_label_column_class(column_name, feature, values) - for common_column_class in common_column_classes: - with contextlib.suppress(ColumnTypeError, CellTypeError, ColumnInferenceError): - return common_column_class(column_name, feature, values) - # none has worked - return CommonColumn(column_name, feature, values) - - -def get_columns(info: DatasetInfo, rows: List[Row]) -> List[Column]: - if info.features is None: - if not rows: - return [] - else: - column_names = list(rows[0].keys()) - else: - column_names = list(info.features.keys()) - # check, just in case - if rows and info.features.keys() != rows[0].keys(): - raise Status400Error("columns from features and first row don't match") - return [get_column(column_name, info.features, rows) for column_name in column_names] - - -# explicit re-export -__all__ = ["Column", "Cell"] diff --git a/services/worker/src/worker/deprecated/models/column/audio.py b/services/worker/src/worker/deprecated/models/column/audio.py deleted file mode 100644 index f5aaddde..00000000 --- a/services/worker/src/worker/deprecated/models/column/audio.py +++ /dev/null @@ -1,59 +0,0 @@ -from typing import Any, List - -from datasets import Audio -from numpy import ndarray # type:ignore - -from worker.deprecated.models.asset import create_audio_files -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, -) - - -def check_value(value: Any) -> None: - if value is None: - return - try: - path = value["path"] - array = value["array"] - sampling_rate = value["sampling_rate"] - except Exception as e: - raise CellTypeError("audio cell must contain 'path' and 'array' fields") from e - if path is not None and type(path) != str: - raise CellTypeError("'path' field must be a string or None") - if type(array) != ndarray: - raise CellTypeError("'array' field must be a numpy.ndarray") - if type(sampling_rate) != int: - raise CellTypeError("'sampling_rate' field must be an integer") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class AudioColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if feature: - if not isinstance(feature, Audio): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - self.name = name - self.type = "AUDIO_RELATIVE_SOURCES" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - if value is None: - return None - check_value(value) - array = value["array"] - sampling_rate = value["sampling_rate"] - # this function can raise, we don't catch it - return create_audio_files( - dataset_name, config_name, split_name, row_idx, self.name, array, sampling_rate, "assets" - ) diff --git a/services/worker/src/worker/deprecated/models/column/bool.py b/services/worker/src/worker/deprecated/models/column/bool.py deleted file mode 100644 index dda36c3f..00000000 --- a/services/worker/src/worker/deprecated/models/column/bool.py +++ /dev/null @@ -1,37 +0,0 @@ -from typing import Any, List - -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, - check_dtype, -) - - -def check_value(value: Any) -> None: - if value is not None and type(value) != bool: - raise CellTypeError("value type mismatch") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class BoolColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if feature: - if not check_dtype(feature, ["bool"]): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - self.name = name - self.type = "BOOL" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - check_value(value) - return value diff --git a/services/worker/src/worker/deprecated/models/column/class_label.py b/services/worker/src/worker/deprecated/models/column/class_label.py deleted file mode 100644 index 4041425a..00000000 --- a/services/worker/src/worker/deprecated/models/column/class_label.py +++ /dev/null @@ -1,38 +0,0 @@ -from typing import Any, List - -from datasets import ClassLabel -from libutils.types import ClassLabelColumnType, ColumnDict - -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - Column, - ColumnTypeError, -) - - -def check_value(value: Any) -> None: - if value is not None and type(value) != int: - raise CellTypeError("class label values must be integers") - - -class ClassLabelColumn(Column): - type: ClassLabelColumnType - labels: List[str] - - def __init__(self, name: str, feature: Any, values: List[Any]): - if feature is None: - # we cannot infer from the values in that case (would be inferred as INT instead) - raise ColumnTypeError("not a class label") - if not isinstance(feature, ClassLabel): - raise ColumnTypeError("feature type mismatch") - self.labels = feature.names - self.name = name - self.type = "CLASS_LABEL" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - check_value(value) - return value - - def as_dict(self) -> ColumnDict: - return {"name": self.name, "type": self.type, "labels": self.labels} diff --git a/services/worker/src/worker/deprecated/models/column/default.py b/services/worker/src/worker/deprecated/models/column/default.py deleted file mode 100644 index 699ace9a..00000000 --- a/services/worker/src/worker/deprecated/models/column/default.py +++ /dev/null @@ -1,53 +0,0 @@ -from abc import ABC, abstractmethod -from typing import Any, List - -from datasets import Value -from libutils.types import ColumnDict, ColumnType, CommonColumnType - -# TODO: a set of possible cell types (problem: JSON is Any) -Cell = Any - - -class Column(ABC): - name: str - type: ColumnType - - def __init__(self, name: str, feature: Any, values: List[Any]): - self.name = name - self.type = "JSON" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - # TODO: return JSON? of pickled? - return value - - @abstractmethod - def as_dict(self) -> ColumnDict: - pass - - -class CommonColumn(Column): - type: CommonColumnType - - def as_dict(self) -> ColumnDict: - return {"name": self.name, "type": self.type} - - -# Utils - - -class ColumnTypeError(Exception): - pass - - -class CellTypeError(Exception): - pass - - -class ColumnInferenceError(Exception): - pass - - -def check_dtype(feature: Any, dtypes: List[str], expected_class=None) -> bool: - if expected_class is None: - expected_class = Value - return isinstance(feature, expected_class) and feature.dtype in dtypes diff --git a/services/worker/src/worker/deprecated/models/column/float.py b/services/worker/src/worker/deprecated/models/column/float.py deleted file mode 100644 index e64fb39e..00000000 --- a/services/worker/src/worker/deprecated/models/column/float.py +++ /dev/null @@ -1,44 +0,0 @@ -from typing import Any, List - -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, - check_dtype, -) - - -def check_value(value: Any) -> None: - if value is not None and type(value) != float: - raise CellTypeError("value must be a float") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class FloatColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if feature: - if not check_dtype( - feature, - [ - "float16", - "float32", - "float64", - ], - ): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - self.name = name - self.type = "FLOAT" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - check_value(value) - return value diff --git a/services/worker/src/worker/deprecated/models/column/image.py b/services/worker/src/worker/deprecated/models/column/image.py deleted file mode 100644 index 3cab7a75..00000000 --- a/services/worker/src/worker/deprecated/models/column/image.py +++ /dev/null @@ -1,55 +0,0 @@ -from typing import Any, List - -from datasets import Image -from PIL import Image as PILImage # type: ignore - -from worker.deprecated.models.asset import create_image_file -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, -) - - -def check_value(value: Any) -> None: - if value is None: - return - if not isinstance(value, PILImage.Image): - raise CellTypeError("image cell must be a PIL image") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class ImageColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if feature: - if not isinstance(feature, Image): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - self.name = name - self.type = "RELATIVE_IMAGE_URL" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - if value is None: - return None - check_value(value) - # attempt to generate one of the supported formats; if unsuccessful, throw an error - for ext in [".jpg", ".png"]: - try: - return create_image_file( - dataset_name, config_name, split_name, row_idx, self.name, f"image{ext}", value, "assets" - ) - except OSError: - # if wrong format, try the next one, see https://github.com/huggingface/datasets-server/issues/191 - # OSError: cannot write mode P as JPEG - # OSError: cannot write mode RGBA as JPEG - continue - raise ValueError("Image cannot be written as JPEG or PNG") diff --git a/services/worker/src/worker/deprecated/models/column/image_array2d.py b/services/worker/src/worker/deprecated/models/column/image_array2d.py deleted file mode 100644 index db33a4c7..00000000 --- a/services/worker/src/worker/deprecated/models/column/image_array2d.py +++ /dev/null @@ -1,60 +0,0 @@ -from typing import Any, List - -import numpy # type: ignore -from datasets import Array2D -from PIL import Image # type: ignore - -from worker.deprecated.models.asset import create_image_file -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, - check_dtype, -) - -COLUMN_NAMES = ["image"] - - -def check_value(value: Any) -> None: - if value is not None and ( - not isinstance(value, list) - or len(value) == 0 - or not isinstance(value[0], list) - or len(value[0]) == 0 - or type(value[0][0]) != int - ): - raise CellTypeError("value must contain 2D array of integers") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class ImageArray2DColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if name not in COLUMN_NAMES: - raise ColumnTypeError("feature name mismatch") - if feature: - if not check_dtype(feature, ["uint8"], Array2D): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - # we also have shape in the feature: shape: [28, 28] for MNIST - self.name = name - self.type = "RELATIVE_IMAGE_URL" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - if value is None: - return None - check_value(value) - array = numpy.asarray(value, dtype=numpy.uint8) - mode = "L" - image = Image.fromarray(array, mode) - filename = "image.jpg" - - return create_image_file(dataset_name, config_name, split_name, row_idx, self.name, filename, image, "assets") diff --git a/services/worker/src/worker/deprecated/models/column/image_array3d.py b/services/worker/src/worker/deprecated/models/column/image_array3d.py deleted file mode 100644 index e4ec9a25..00000000 --- a/services/worker/src/worker/deprecated/models/column/image_array3d.py +++ /dev/null @@ -1,61 +0,0 @@ -from typing import Any, List - -import numpy # type: ignore -from datasets import Array3D -from PIL import Image # type: ignore - -from worker.deprecated.models.asset import create_image_file -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, - check_dtype, -) - -COLUMN_NAMES = ["img"] - - -def check_value(value: Any) -> None: - if value is not None and ( - not isinstance(value, list) - or len(value) == 0 - or not isinstance(value[0], list) - or len(value[0]) == 0 - or not isinstance(value[0][0], list) - or len(value[0][0]) == 0 - or type(value[0][0][0]) != int - ): - raise CellTypeError("value must contain 3D array of integers") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class ImageArray3DColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if name not in COLUMN_NAMES: - raise ColumnTypeError("feature name mismatch") - if feature: - if not check_dtype(feature, ["uint8"], Array3D): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - # we also have shape in the feature: shape: [32, 32, 3] for cifar10 - self.name = name - self.type = "RELATIVE_IMAGE_URL" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - if value is None: - return None - array = numpy.asarray(value, dtype=numpy.uint8) - mode = "RGB" - image = Image.fromarray(array, mode) - filename = "image.jpg" - - return create_image_file(dataset_name, config_name, split_name, row_idx, self.name, filename, image, "assets") diff --git a/services/worker/src/worker/deprecated/models/column/image_url.py b/services/worker/src/worker/deprecated/models/column/image_url.py deleted file mode 100644 index 1f81a98d..00000000 --- a/services/worker/src/worker/deprecated/models/column/image_url.py +++ /dev/null @@ -1,45 +0,0 @@ -from typing import Any, List - -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, - check_dtype, -) - -COLUMN_NAMES = ["image_url"] - - -def check_value(value: Any) -> None: - if value is not None and type(value) != str: - raise CellTypeError("image URL column must be a string") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class ImageUrlColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if name not in COLUMN_NAMES: - raise ColumnTypeError("feature name mismatch") - if feature: - if not check_dtype(feature, ["string"]): - raise ColumnTypeError("feature type mismatch") - else: - # if values are strings, and the column name matches, let's say it's an image url - infer_from_values(values) - - self.name = name - self.type = "IMAGE_URL" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - if value is None: - return None - check_value(value) - return value diff --git a/services/worker/src/worker/deprecated/models/column/int.py b/services/worker/src/worker/deprecated/models/column/int.py deleted file mode 100644 index ab7c51ce..00000000 --- a/services/worker/src/worker/deprecated/models/column/int.py +++ /dev/null @@ -1,49 +0,0 @@ -from typing import Any, List - -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, - check_dtype, -) - - -def check_value(value: Any) -> None: - if value is not None and type(value) != int: - raise CellTypeError("value type mismatch") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class IntColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if feature: - if not check_dtype( - feature, - [ - "int8", - "int16", - "int32", - "int64", - "uint8", - "uint16", - "uint32", - "uint64", - ], - ): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - self.name = name - self.type = "INT" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - check_value(value) - return value diff --git a/services/worker/src/worker/deprecated/models/column/string.py b/services/worker/src/worker/deprecated/models/column/string.py deleted file mode 100644 index e1364298..00000000 --- a/services/worker/src/worker/deprecated/models/column/string.py +++ /dev/null @@ -1,37 +0,0 @@ -from typing import Any, List - -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - ColumnInferenceError, - ColumnTypeError, - CommonColumn, - check_dtype, -) - - -def check_value(value: Any) -> None: - if value is not None and type(value) != str: - raise CellTypeError("value type mismatch") - - -def infer_from_values(values: List[Any]) -> None: - for value in values: - check_value(value) - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - - -class StringColumn(CommonColumn): - def __init__(self, name: str, feature: Any, values: List[Any]): - if feature: - if not check_dtype(feature, ["string", "large_string"]): - raise ColumnTypeError("feature type mismatch") - else: - infer_from_values(values) - self.name = name - self.type = "STRING" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - check_value(value) - return value diff --git a/services/worker/src/worker/deprecated/models/column/timestamp.py b/services/worker/src/worker/deprecated/models/column/timestamp.py deleted file mode 100644 index 7df3b0e2..00000000 --- a/services/worker/src/worker/deprecated/models/column/timestamp.py +++ /dev/null @@ -1,101 +0,0 @@ -import re -from typing import Any, List, Optional, get_args - -import pandas # type: ignore -from datasets import Value -from libutils.types import ColumnDict, TimestampColumnType, TimestampUnit - -from worker.deprecated.models.column.default import ( - Cell, - CellTypeError, - Column, - ColumnInferenceError, - ColumnTypeError, -) - -# pandas types: see https://github.com/VirtusLab/pandas-stubs/issues/172 - - -TimestampTz = Optional[str] - - -def cast_to_timestamp_unit(value: str) -> TimestampUnit: - if value == "s": - return "s" - elif value == "ms": - return "ms" - elif value == "us": - return "us" - elif value == "ns": - return "ns" - raise ValueError("string cannot be cast to timestamp unit") - - -def get_tz(ts: pandas.Timestamp) -> TimestampTz: - return None if ts.tz is None else str(ts.tz) - - -def infer_from_values( - values: List[Any], -) -> TimestampTz: - if values and all(value is None for value in values): - raise ColumnInferenceError("all the values are None, cannot infer column type") - if any(not isinstance(value, pandas.Timestamp) for value in values): - raise ColumnInferenceError("some values are not timestamps, cannot infer column type") - timezones = {value.tz for value in values if isinstance(value, pandas.Timestamp) and value.tz is not None} - if len(timezones) > 1: - raise ColumnInferenceError("several timezones found in the values, cannot infer column type") - elif len(timezones) == 1: - return str(list(timezones)[0].tzinfo) - return None - - -class TimestampColumn(Column): - type: TimestampColumnType - unit: TimestampUnit - tz: TimestampTz - - def __init__(self, name: str, feature: Any, values: List[Any]): - if not feature: - tz = infer_from_values(values) - unit = "s" - if not isinstance(feature, Value): - raise ColumnTypeError("feature type mismatch") - # see https://github.com/huggingface/datasets/blob/master/src/datasets/features/features.py - timestamp_matches = re.search(r"^timestamp\[(.*)\]$", feature.dtype) - if not timestamp_matches: - raise ColumnTypeError("feature type mismatch") - timestamp_internals = timestamp_matches[1] - timestampUnits = get_args(TimestampUnit) - internals_matches = re.search(r"^(s|ms|us|ns),\s*tz=([a-zA-Z0-9/_+\-:]*)$", timestamp_internals) - if timestamp_internals in timestampUnits: - unit = timestamp_internals - tz = None - elif internals_matches: - unit = internals_matches[1] - tz = internals_matches[2] - else: - raise ColumnTypeError("feature type mismatch") - - self.name = name - self.unit = cast_to_timestamp_unit(unit) - self.tz = tz - self.type = "TIMESTAMP" - - def get_cell_value(self, dataset_name: str, config_name: str, split_name: str, row_idx: int, value: Any) -> Cell: - if value is None: - return None - if not isinstance(value, pandas.Timestamp): - raise CellTypeError("value must be a pandas Timestamp object") - posix_timestamp_in_seconds = value.timestamp() - if self.unit == "s": - return posix_timestamp_in_seconds - elif self.unit == "ms": - return posix_timestamp_in_seconds * 1_000 - elif self.unit == "us": - return posix_timestamp_in_seconds * 1_000_000 - elif self.unit == "ns": - return posix_timestamp_in_seconds * 1_000_000_000 - - def as_dict(self) -> ColumnDict: - return {"name": self.name, "type": self.type, "tz": self.tz, "unit": self.unit} diff --git a/services/worker/src/worker/deprecated/models/dataset.py b/services/worker/src/worker/deprecated/models/dataset.py deleted file mode 100644 index 0d1f660c..00000000 --- a/services/worker/src/worker/deprecated/models/dataset.py +++ /dev/null @@ -1,16 +0,0 @@ -import logging -from typing import List, Optional - -from datasets import get_dataset_config_names, get_dataset_split_names -from libutils.types import SplitFullName - -logger = logging.getLogger(__name__) - - -def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]: - logger.info(f"get dataset '{dataset_name}' split full names") - return [ - {"dataset_name": dataset_name, "config_name": config_name, "split_name": split_name} - for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token) - for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token) - ] diff --git a/services/worker/src/worker/deprecated/models/info.py b/services/worker/src/worker/deprecated/models/info.py deleted file mode 100644 index 5e2e148a..00000000 --- a/services/worker/src/worker/deprecated/models/info.py +++ /dev/null @@ -1,22 +0,0 @@ -import logging -from typing import Any, Dict, Optional - -from datasets import DatasetInfo, get_dataset_config_info -from libutils.exceptions import Status400Error - -logger = logging.getLogger(__name__) - -Info = Dict[str, Any] - - -def get_info(dataset_name: str, config_name: str, hf_token: Optional[str] = None) -> DatasetInfo: - logger.info(f"get info metadata for config '{config_name}' of dataset '{dataset_name}'") - try: - info = get_dataset_config_info( - dataset_name, - config_name=config_name, - use_auth_token=hf_token, - ) - except Exception as err: - raise Status400Error("Cannot get the metadata info for the config.", err) from err - return info diff --git a/services/worker/src/worker/deprecated/models/py.typed b/services/worker/src/worker/deprecated/models/py.typed deleted file mode 100644 index e69de29b..00000000 diff --git a/services/worker/src/worker/deprecated/models/row.py b/services/worker/src/worker/deprecated/models/row.py deleted file mode 100644 index d5fe3a29..00000000 --- a/services/worker/src/worker/deprecated/models/row.py +++ /dev/null @@ -1,45 +0,0 @@ -import itertools -import logging -from typing import Any, Dict, List, Optional - -from datasets import Dataset, IterableDataset, load_dataset - -from worker.constants import DEFAULT_ROWS_MAX_NUMBER -from worker.utils import retry - -logger = logging.getLogger(__name__) - - -Row = Dict[str, Any] - - -@retry(logger=logger) -def get_rows( - dataset_name: str, - config_name: str, - split_name: str, - hf_token: Optional[str] = None, - streaming: bool = True, - rows_max_number: Optional[int] = None, -) -> List[Row]: - if rows_max_number is None: - rows_max_number = DEFAULT_ROWS_MAX_NUMBER - dataset = load_dataset( - dataset_name, - name=config_name, - split=split_name, - streaming=streaming, - use_auth_token=hf_token, - ) - if streaming: - if not isinstance(dataset, IterableDataset): - raise TypeError("load_dataset should return an IterableDataset in streaming mode") - elif not isinstance(dataset, Dataset): - raise TypeError("load_dataset should return a Dataset in normal mode") - rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1)) - # ^^ to be able to detect if a split has exactly ROWS_MAX_NUMBER rows - if len(rows_plus_one) <= rows_max_number: - logger.debug(f"all the rows in the split have been fetched ({len(rows_plus_one)})") - else: - logger.debug(f"the rows in the split have been truncated ({rows_max_number} rows)") - return rows_plus_one[:rows_max_number] diff --git a/services/worker/src/worker/deprecated/models/split.py b/services/worker/src/worker/deprecated/models/split.py deleted file mode 100644 index 010c506c..00000000 --- a/services/worker/src/worker/deprecated/models/split.py +++ /dev/null @@ -1,214 +0,0 @@ -import logging -import sys -from typing import Any, List, Optional - -from libutils.exceptions import Status400Error -from libutils.types import ColumnItem, RowItem, RowsResponse, Split -from libutils.utils import orjson_dumps - -from worker.config import MIN_CELL_BYTES -from worker.deprecated.models.column import CellTypeError, Column, get_columns -from worker.deprecated.models.info import get_info -from worker.deprecated.models.row import Row, get_rows - -logger = logging.getLogger(__name__) - - -def get_size_in_bytes(obj: Any): - return sys.getsizeof(orjson_dumps(obj)) - # ^^ every row is transformed here in a string, because it corresponds to - # the size the row will contribute in the JSON response to /rows endpoint. - # The size of the string is measured in bytes. - # An alternative would have been to look at the memory consumption (pympler) but it's - # less related to what matters here (size of the JSON, number of characters in the - # dataset viewer table on the hub) - - -def truncate_cell(cell: Any, min_cell_bytes: int) -> str: - return orjson_dumps(cell)[:min_cell_bytes].decode("utf8", "ignore") - - -# Mutates row_item, and returns it anyway -def truncate_row_item(row_item: RowItem) -> RowItem: - row = {} - for column_name, cell in row_item["row"].items(): - # for now: all the cells, but the smallest ones, are truncated - cell_bytes = get_size_in_bytes(cell) - if cell_bytes > MIN_CELL_BYTES: - row_item["truncated_cells"].append(column_name) - row[column_name] = truncate_cell(cell, MIN_CELL_BYTES) - else: - row[column_name] = cell - row_item["row"] = row - return row_item - - -# Mutates row_items, and returns them anyway -def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[RowItem]: - # compute the current size - rows_bytes = sum(get_size_in_bytes(row_item) for row_item in row_items) - - # Loop backwards, so that the last rows are truncated first - for row_item in reversed(row_items): - if rows_bytes < rows_max_bytes: - break - previous_size = get_size_in_bytes(row_item) - row_item = truncate_row_item(row_item) - new_size = get_size_in_bytes(row_item) - rows_bytes += new_size - previous_size - row_idx = row_item["row_idx"] - logger.debug(f"the size of the rows is now ({rows_bytes}) after truncating row idx={row_idx}") - return row_items - - -def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: int, row: Row) -> RowItem: - return { - "dataset": dataset_name, - "config": config_name, - "split": split_name, - "row_idx": row_idx, - "row": row, - "truncated_cells": [], - } - - -def to_column_item( - dataset_name: str, config_name: str, split_name: str, column_idx: int, column: Column -) -> ColumnItem: - return { - "dataset": dataset_name, - "config": config_name, - "split": split_name, - "column_idx": column_idx, - "column": column.as_dict(), - } - - -def create_truncated_row_items( - dataset_name: str, - config_name: str, - split_name: str, - rows: List[Row], - rows_max_bytes: Optional[int] = None, - rows_min_number: Optional[int] = None, -) -> List[RowItem]: - row_items = [] - rows_bytes = 0 - if rows_min_number is None: - rows_min_number = 0 - else: - logger.debug(f"min number of rows in the response: '{rows_min_number}'") - if rows_max_bytes is not None: - logger.debug(f"max number of bytes in the response: '{rows_max_bytes}'") - - # two restrictions must be enforced: - # - at least rows_min_number rows - # - at most rows_max_bytes bytes - # To enforce this: - # 1. first get the first rows_min_number rows - for row_idx, row in enumerate(rows[:rows_min_number]): - row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) - if rows_max_bytes is not None: - rows_bytes += get_size_in_bytes(row_item) - row_items.append(row_item) - - # 2. if the total is over the bytes limit, truncate the values, iterating backwards starting - # from the last rows, until getting under the threshold - if rows_max_bytes is not None and rows_bytes >= rows_max_bytes: - logger.debug( - f"the size of the first {rows_min_number} rows ({rows_bytes}) is above the max number of bytes" - f" ({rows_max_bytes}), they will be truncated" - ) - return truncate_row_items(row_items, rows_max_bytes) - - # 3. else: add the remaining rows until the end, or until the bytes threshold - for idx, row in enumerate(rows[rows_min_number:]): - row_idx = rows_min_number + idx - row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) - if rows_max_bytes is not None: - rows_bytes += get_size_in_bytes(row_item) - if rows_bytes >= rows_max_bytes: - logger.debug( - f"the rows in the split have been truncated to {row_idx} row(s) to keep the size" - f" ({rows_bytes}) under the limit ({rows_max_bytes})" - ) - break - row_items.append(row_item) - return row_items - - -def get_typed_row( - dataset_name: str, config_name: str, split_name: str, row: Row, row_idx: int, columns: List[Column] -) -> Row: - try: - return { - column.name: column.get_cell_value(dataset_name, config_name, split_name, row_idx, row[column.name]) - for column in columns - } - except CellTypeError as err: - raise Status400Error("Cell type error.", err) from err - - -def get_typed_rows( - dataset_name: str, - config_name: str, - split_name: str, - rows: List[Row], - columns: List[Column], -) -> List[Row]: - return [get_typed_row(dataset_name, config_name, split_name, row, idx, columns) for idx, row in enumerate(rows)] - - -def get_split( - dataset_name: str, - config_name: str, - split_name: str, - hf_token: Optional[str] = None, - max_size_fallback: Optional[int] = None, - rows_max_bytes: Optional[int] = None, - rows_max_number: Optional[int] = None, - rows_min_number: Optional[int] = None, -) -> Split: - logger.info(f"get split '{split_name}' for config '{config_name}' of dataset '{dataset_name}'") - info = get_info(dataset_name, config_name, hf_token) - fallback = ( - max_size_fallback is not None and info.size_in_bytes is not None and info.size_in_bytes < max_size_fallback - ) - - try: - try: - rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number) - except Exception: - if fallback: - rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number) - else: - raise - except Exception as err: - raise Status400Error("Cannot get the first rows for the split.", err) from err - - columns = get_columns(info, rows) - typed_rows = get_typed_rows(dataset_name, config_name, split_name, rows, columns) - row_items = create_truncated_row_items( - dataset_name, config_name, split_name, typed_rows, rows_max_bytes, rows_min_number - ) - rows_response: RowsResponse = { - "columns": [ - to_column_item(dataset_name, config_name, split_name, column_idx, column) - for column_idx, column in enumerate(columns) - ], - "rows": row_items, - } - - num_bytes = None - num_examples = None - if info.splits is not None and split_name in info.splits: - if hasattr(info.splits[split_name], "num_bytes"): - num_bytes = info.splits[split_name].num_bytes - if hasattr(info.splits[split_name], "num_examples"): - num_examples = info.splits[split_name].num_examples - return { - "split_name": split_name, - "rows_response": rows_response, - "num_bytes": num_bytes, - "num_examples": num_examples, - } diff --git a/services/worker/src/worker/deprecated/refresh.py b/services/worker/src/worker/deprecated/refresh.py deleted file mode 100644 index 3ea92a6d..00000000 --- a/services/worker/src/worker/deprecated/refresh.py +++ /dev/null @@ -1,71 +0,0 @@ -import logging -from typing import Optional - -from libcache.cache import ( - upsert_dataset, - upsert_dataset_error, - upsert_split, - upsert_split_error, -) -from libqueue.queue import add_split_job -from libutils.exceptions import Status400Error, Status500Error, StatusError - -from worker.deprecated.models.dataset import get_dataset_split_full_names -from worker.deprecated.models.split import get_split - -logger = logging.getLogger(__name__) - - -def refresh_dataset(dataset_name: str, hf_token: Optional[str] = None) -> None: - try: - try: - split_full_names = get_dataset_split_full_names(dataset_name, hf_token) - except Exception as err: - raise Status400Error("Cannot get the split names for the dataset.", err) from err - upsert_dataset(dataset_name, split_full_names) - logger.debug(f"dataset={dataset_name} is valid, cache updated") - for split_full_name in split_full_names: - add_split_job( - split_full_name["dataset_name"], split_full_name["config_name"], split_full_name["split_name"] - ) - except StatusError as err: - upsert_dataset_error(dataset_name, err) - logger.debug(f"dataset={dataset_name} had error, cache updated") - raise - except Exception as err: - upsert_dataset_error(dataset_name, Status500Error(str(err))) - logger.debug(f"dataset={dataset_name} had error, cache updated") - raise - - -def refresh_split( - dataset_name: str, - config_name: str, - split_name: str, - hf_token: Optional[str] = None, - max_size_fallback: Optional[int] = None, - rows_max_bytes: Optional[int] = None, - rows_max_number: Optional[int] = None, - rows_min_number: Optional[int] = None, -): - try: - split = get_split( - dataset_name, - config_name, - split_name, - hf_token=hf_token, - max_size_fallback=max_size_fallback, - rows_max_bytes=rows_max_bytes, - rows_max_number=rows_max_number, - rows_min_number=rows_min_number, - ) - upsert_split(dataset_name, config_name, split_name, split) - logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} is valid, cache updated") - except StatusError as err: - upsert_split_error(dataset_name, config_name, split_name, err) - logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated") - raise - except Exception as err: - upsert_split_error(dataset_name, config_name, split_name, Status500Error(str(err))) - logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated") - raise diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index 082eb552..db3b7adc 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -41 +40,0 @@ from worker.config import ( -from worker.deprecated.main import process_next_dataset_job, process_next_split_job @@ -115,3 +114 @@ def process_next_job() -> bool: - if WORKER_QUEUE == "datasets": - return process_next_dataset_job() - elif WORKER_QUEUE == "first_rows_responses": + if WORKER_QUEUE == "first_rows_responses": @@ -119,2 +115,0 @@ def process_next_job() -> bool: - elif WORKER_QUEUE == "splits": - return process_next_split_job() diff --git a/services/worker/tests/deprecated/__init__.py b/services/worker/tests/deprecated/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/services/worker/tests/deprecated/models/__init__.py b/services/worker/tests/deprecated/models/__init__.py deleted file mode 100644 index e69de29b..00000000 diff --git a/services/worker/tests/deprecated/models/test_column.py b/services/worker/tests/deprecated/models/test_column.py deleted file mode 100644 index 68675ba5..00000000 --- a/services/worker/tests/deprecated/models/test_column.py +++ /dev/null @@ -1,85 +0,0 @@ -import pytest - -from worker.deprecated.models.column import get_columns -from worker.deprecated.models.column.class_label import ClassLabelColumn -from worker.deprecated.models.column.timestamp import TimestampColumn -from worker.deprecated.models.info import get_info - -pytestmark = pytest.mark.deprecated - -# TODO: add a test for each type - - -def test_class_label() -> None: - info = get_info("glue", "cola") - columns = get_columns(info, []) - assert columns[1].type == "CLASS_LABEL" - assert isinstance(columns[1], ClassLabelColumn) - assert "unacceptable" in columns[1].labels - - -def test_empty_features() -> None: - info = get_info("allenai/c4", "allenai--c4") - columns = get_columns(info, []) - assert columns == [] - - -def test_get_columns() -> None: - info = get_info("acronym_identification", "default") - columns = get_columns(info, []) - assert columns is not None and len(columns) == 3 - column = columns[0] - assert column.name == "id" - assert column.type == "STRING" - - -def test_mnist() -> None: - info = get_info("mnist", "mnist") - columns = get_columns(info, []) - assert columns is not None - assert columns[0].name == "image" - assert columns[0].type == "RELATIVE_IMAGE_URL" - - -def test_cifar() -> None: - info = get_info("cifar10", "plain_text") - columns = get_columns(info, []) - assert columns is not None - json = columns[0].as_dict() - assert json["name"] == "img" - assert json["type"] == "RELATIVE_IMAGE_URL" - - -def test_iter_archive() -> None: - info = get_info("food101", "default") - columns = get_columns(info, []) - assert columns is not None - assert columns[0].name == "image" - assert columns[0].type == "RELATIVE_IMAGE_URL" - - -def test_severo_wit() -> None: - info = get_info("severo/wit", "default") - columns = get_columns(info, []) - assert columns is not None - assert columns[2].name == "image_url" - assert columns[2].type == "IMAGE_URL" - - -def test_audio() -> None: - info = get_info("abidlabs/test-audio-1", "test") - columns = get_columns(info, []) - assert columns is not None - assert columns[1].name == "Output" - assert columns[1].type == "AUDIO_RELATIVE_SOURCES" - - -def test_timestamp() -> None: - info = get_info("ett", "h1") - columns = get_columns(info, []) - assert columns is not None - assert columns[0].name == "start" - assert columns[0].type == "TIMESTAMP" - assert isinstance(columns[0], TimestampColumn) - assert columns[0].unit == "s" - assert columns[0].tz is None diff --git a/services/worker/tests/deprecated/models/test_dataset.py b/services/worker/tests/deprecated/models/test_dataset.py deleted file mode 100644 index 8d225b90..00000000 --- a/services/worker/tests/deprecated/models/test_dataset.py +++ /dev/null @@ -1,62 +0,0 @@ -import pytest -from datasets.inspect import SplitsNotFoundError - -from worker.deprecated.models.dataset import get_dataset_split_full_names - -# from ...utils import HF_TOKEN -pytestmark = pytest.mark.deprecated - - -def test_script_error() -> None: - # raises "ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'" - # which should be caught and raised as DatasetBuilderScriptError - with pytest.raises(ModuleNotFoundError): - get_dataset_split_full_names(dataset_name="piEsposito/br-quad-2.0") - - -def test_no_dataset() -> None: - # the dataset does not exist - with pytest.raises(FileNotFoundError): - get_dataset_split_full_names(dataset_name="doesnotexist") - - -def test_no_dataset_no_script() -> None: - # the dataset does not contain a script - with pytest.raises(FileNotFoundError): - get_dataset_split_full_names(dataset_name="AConsApart/anime_subtitles_DialoGPT") - with pytest.raises(FileNotFoundError): - get_dataset_split_full_names(dataset_name="TimTreasure4/Test") - - -def test_builder_config_error() -> None: - with pytest.raises(SplitsNotFoundError): - get_dataset_split_full_names(dataset_name="KETI-AIR/nikl") - with pytest.raises(RuntimeError): - get_dataset_split_full_names(dataset_name="nateraw/image-folder") - with pytest.raises(TypeError): - get_dataset_split_full_names(dataset_name="Valahaar/wsdmt") - - -# get_split -def test_get_split() -> None: - split_full_names = get_dataset_split_full_names("glue") - assert len(split_full_names) == 34 - assert {"dataset_name": "glue", "config_name": "ax", "split_name": "test"} in split_full_names - - -def test_splits_fallback() -> None: - # uses the fallback to call "builder._split_generators" while https://github.com/huggingface/datasets/issues/2743 - split_full_names = get_dataset_split_full_names("hda_nli_hindi") - assert len(split_full_names) == 3 - assert {"dataset_name": "hda_nli_hindi", "config_name": "HDA nli hindi", "split_name": "train"} in split_full_names - - -# disable until https://github.com/huggingface/datasets-server/pull/499 is done -# def test_gated() -> None: -# split_full_names = get_dataset_split_full_names("severo/dummy_gated", HF_TOKEN) -# assert len(split_full_names) == 1 -# assert { -# "dataset_name": "severo/dummy_gated", -# "config_name": "severo--embellishments", -# "split_name": "train", -# } in split_full_names diff --git a/services/worker/tests/deprecated/models/test_info.py b/services/worker/tests/deprecated/models/test_info.py deleted file mode 100644 index b0c4c0e3..00000000 --- a/services/worker/tests/deprecated/models/test_info.py +++ /dev/null @@ -1,15 +0,0 @@ -import pytest - -from worker.deprecated.models.info import get_info - -pytestmark = pytest.mark.deprecated - - -def test_get_info() -> None: - info = get_info("glue", "ax") - assert info.features is not None - - -def test_get_info_no_dataset_info_file() -> None: - info = get_info("lhoestq/custom_squad", "plain_text") - assert info.features is not None diff --git a/services/worker/tests/deprecated/models/test_row.py b/services/worker/tests/deprecated/models/test_row.py deleted file mode 100644 index ce902d6d..00000000 --- a/services/worker/tests/deprecated/models/test_row.py +++ /dev/null @@ -1,69 +0,0 @@ -import pytest -from PIL import Image # type: ignore - -from worker.deprecated.models.row import get_rows - -from ...utils import ROWS_MAX_NUMBER - -pytestmark = pytest.mark.deprecated - - -# get_rows -def test_get_rows() -> None: - rows = get_rows("acronym_identification", "default", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - assert rows[0]["tokens"][0] == "What" - - -def test_class_label() -> None: - rows = get_rows("glue", "cola", "train", rows_max_number=ROWS_MAX_NUMBER) - assert rows[0]["label"] == 1 - - -def test_mnist() -> None: - rows = get_rows("mnist", "mnist", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - assert isinstance(rows[0]["image"], Image.Image) - - -def test_cifar() -> None: - rows = get_rows("cifar10", "plain_text", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - assert isinstance(rows[0]["img"], Image.Image) - - -def test_iter_archive() -> None: - rows = get_rows("food101", "default", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - assert isinstance(rows[0]["image"], Image.Image) - - -def test_dl_1_suffix() -> None: - # see https://github.com/huggingface/datasets/pull/2843 - rows = get_rows("discovery", "discovery", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - - -def test_txt_zip() -> None: - # see https://github.com/huggingface/datasets/pull/2856 - rows = get_rows("bianet", "en_to_ku", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - - -def test_pathlib() -> None: - # see https://github.com/huggingface/datasets/issues/2866 - rows = get_rows("counter", "counter", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - - -def test_community_with_no_config() -> None: - rows = get_rows("Check/region_1", "Check--region_1", "train", rows_max_number=ROWS_MAX_NUMBER) - # it's not correct: here this is the number of splits, not the number of rows - assert len(rows) == 2 - # see https://github.com/huggingface/datasets-server/issues/78 - - -def test_audio_dataset() -> None: - rows = get_rows("abidlabs/test-audio-1", "test", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == 1 - assert rows[0]["Output"]["sampling_rate"] == 48000 diff --git a/services/worker/tests/deprecated/models/test_split.py b/services/worker/tests/deprecated/models/test_split.py deleted file mode 100644 index e53d3120..00000000 --- a/services/worker/tests/deprecated/models/test_split.py +++ /dev/null @@ -1,217 +0,0 @@ -import pytest - -from worker.deprecated.models.split import get_split - -from ...utils import HF_TOKEN, ROWS_MAX_NUMBER - -# import pandas # type: ignore - - -# pandas types: see https://github.com/VirtusLab/pandas-stubs/issues/172 - -pytestmark = pytest.mark.deprecated - - -# TODO: test fallback - - -# TODO: this is slow: change the tested dataset? -def test_detect_types_from_typed_rows() -> None: - split = get_split("allenai/c4", "allenai--c4", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER - assert split["rows_response"]["columns"][0]["column"]["type"] == "STRING" - - -def test_class_label() -> None: - split = get_split("glue", "cola", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER - assert split["rows_response"]["rows"][0]["row"]["label"] == 1 - assert split["rows_response"]["columns"][1]["column"]["type"] == "CLASS_LABEL" - assert "unacceptable" in split["rows_response"]["columns"][1]["column"]["labels"] - - -def test_mnist() -> None: - split = get_split("mnist", "mnist", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER - assert split["rows_response"]["rows"][0]["row"]["image"] == "assets/mnist/--/mnist/train/0/image/image.jpg" - assert split["rows_response"]["columns"][0]["column"]["type"] == "RELATIVE_IMAGE_URL" - - -# TODO: re-enable the test -# def test_cifar() -> None: -# info = get_info("cifar10", "plain_text") -# typed_rows, columns = get_typed_rows_and_columns( -# "cifar10", "plain_text", "train", info, rows_max_number=ROWS_MAX_NUMBER -# ) -# assert len(typed_rows) == ROWS_MAX_NUMBER -# assert typed_rows[0]["img"] == "assets/cifar10/--/plain_text/train/0/img/image.jpg" -# assert columns[0].type == ColumnType.RELATIVE_IMAGE_URL - - -# TODO: re-enable the test -# def test_head_qa() -> None: -# info = get_info("head_qa", "es") -# typed_rows, columns = get_typed_rows_and_columns("head_qa", "es", "train", info, rows_max_number=ROWS_MAX_NUMBER) -# assert len(typed_rows) == ROWS_MAX_NUMBER -# assert typed_rows[0]["image"] is None -# assert columns[6].name == "image" -# assert columns[6].type == ColumnType.RELATIVE_IMAGE_URL - - -def test_iter_archive() -> None: - split = get_split("food101", "default", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER - assert split["rows_response"]["columns"][0]["column"]["type"] == "RELATIVE_IMAGE_URL" - - -def test_image_url() -> None: - split = get_split("severo/wit", "default", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER - assert split["rows_response"]["columns"][2]["column"]["type"] == "IMAGE_URL" - - -def test_audio_dataset() -> None: - split = get_split("abidlabs/test-audio-1", "test", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(split["rows_response"]["rows"]) == 1 - assert len(split["rows_response"]["rows"][0]["row"]["Output"]) == 2 - assert split["rows_response"]["rows"][0]["row"]["Output"][0]["type"] == "audio/mpeg" - assert split["rows_response"]["rows"][0]["row"]["Output"][1]["type"] == "audio/wav" - assert ( - split["rows_response"]["rows"][0]["row"]["Output"][0]["src"] - == "assets/abidlabs/test-audio-1/--/test/train/0/Output/audio.mp3" - ) - assert split["rows_response"]["columns"][1]["column"]["type"] == "AUDIO_RELATIVE_SOURCES" - - -def test_audio_path_none_dataset() -> None: - split = get_split("LIUM/tedlium", "release1", "test", rows_max_number=ROWS_MAX_NUMBER) - assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER - assert len(split["rows_response"]["rows"][0]["row"]["audio"]) == 2 - assert split["rows_response"]["rows"][0]["row"]["audio"][0]["type"] == "audio/mpeg" - assert split["rows_response"]["rows"][0]["row"]["audio"][1]["type"] == "audio/wav" - assert ( - split["rows_response"]["rows"][0]["row"]["audio"][0]["src"] - == "assets/LIUM/tedlium/--/release1/test/0/audio/audio.mp3" - ) - assert split["rows_response"]["columns"][0]["column"]["type"] == "AUDIO_RELATIVE_SOURCES" - - -def test_get_split() -> None: - dataset_name = "acronym_identification" - config_name = "default" - split_name = "train" - split = get_split(dataset_name, config_name, split_name) - - assert split["num_bytes"] == 7792803 - assert split["num_examples"] == 14006 - - -# disabled since the dataset has a problem unrelated to the gated status -# disable until https://github.com/huggingface/datasets-server/pull/499 is done -# see https://github.com/huggingface/datasets-server/pull/375#issuecomment-1156425010 -# def test_gated() -> None: -# dataset_name = "severo/dummy_gated" -# config_name = "severo--embellishments" -# split_name = "train" -# split = get_split(dataset_name, config_name, split_name, HF_TOKEN, rows_max_number=ROWS_MAX_NUMBER) - -# assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER -# assert split["rows_response"]["rows"][0]["row"]["year"] == "1855" - - -def test_fallback() -> None: - # https://github.com/huggingface/datasets/issues/3185 - dataset_name = "samsum" - config_name = "samsum" - split_name = "train" - MAX_SIZE_FALLBACK = 100_000_000 - split = get_split( - dataset_name, - config_name, - split_name, - HF_TOKEN, - rows_max_number=ROWS_MAX_NUMBER, - max_size_fallback=MAX_SIZE_FALLBACK, - ) - - assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER - - -# def test_timestamp() -> None: - -# ROWS_MAX_NUMBER = 1 - -# split = get_split( -# "ett", -# "h1", -# "train", -# HF_TOKEN, -# rows_max_number=ROWS_MAX_NUMBER, -# ) -# assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER -# assert split["rows_response"]["rows"][0]["row"]["start"] == 1467331200.0 -# assert split["rows_response"]["columns"][0]["column"]["type"] == "TIMESTAMP" -# assert split["rows_response"]["columns"][0]["column"]["unit"] == "s" -# assert split["rows_response"]["columns"][0]["column"]["tz"] is None -# # check -# assert ( -# pandas.Timestamp( -# split["rows_response"]["rows"][0]["row"]["start"], -# unit=split["rows_response"]["columns"][0]["column"]["unit"], -# tz=split["rows_response"]["columns"][0]["column"]["tz"], -# ).isoformat() -# == "2016-07-01T00:00:00" -# ) - - -def test_image() -> None: - # see https://github.com/huggingface/datasets-server/issues/191 - split = get_split( - "wikimedia/wit_base", - "wikimedia--wit_base", - "train", - HF_TOKEN, - rows_max_number=21, - ) - assert split["rows_response"]["columns"][0]["column"]["type"] == "RELATIVE_IMAGE_URL" - assert ( - split["rows_response"]["rows"][0]["row"]["image"] - == "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" - ) - assert ( - split["rows_response"]["rows"][20]["row"]["image"] - == "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" - ) - - split = get_split( - "Chris1/GTA5", - "Chris1--GTA5", - "train", - HF_TOKEN, - rows_max_number=1, - ) - assert split["rows_response"]["columns"][0]["column"]["type"] == "RELATIVE_IMAGE_URL" - assert split["rows_response"]["columns"][1]["column"]["type"] == "RELATIVE_IMAGE_URL" - assert ( - split["rows_response"]["rows"][0]["row"]["image"] - == "assets/Chris1/GTA5/--/Chris1--GTA5/train/0/image/image.jpg" - ) - assert ( - split["rows_response"]["rows"][0]["row"]["semantic_segmentation"] - == "assets/Chris1/GTA5/--/Chris1--GTA5/train/0/semantic_segmentation/image.png" - ) - - split = get_split( - "huggan/few-shot-skulls", - "huggan--few-shot-skulls", - "train", - HF_TOKEN, - rows_max_number=52, - ) - assert ( - split["rows_response"]["rows"][51]["row"]["image"] - == "assets/huggan/few-shot-skulls/--/huggan--few-shot-skulls/train/51/image/image.png" - ) - - -# TODO: test the truncation diff --git a/services/worker/tests/deprecated/test_main.py b/services/worker/tests/deprecated/test_main.py deleted file mode 100644 index 59ae8d26..00000000 --- a/services/worker/tests/deprecated/test_main.py +++ /dev/null @@ -1,42 +0,0 @@ -import pytest -from libcache.cache import clean_database as clean_cache_database -from libcache.cache import connect_to_cache -from libqueue.queue import add_dataset_job, add_split_job -from libqueue.queue import clean_database as clean_queue_database -from libqueue.queue import connect_to_queue - -from worker.main import process_next_dataset_job, process_next_split_job - -from ..utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL - -pytestmark = pytest.mark.deprecated - - [email protected](autouse=True, scope="module") -def safe_guard() -> None: - if "test" not in MONGO_CACHE_DATABASE: - raise ValueError("Test must be launched on a test mongo database") - - [email protected](autouse=True, scope="module") -def client() -> None: - connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) - connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) - - [email protected](autouse=True) -def clean_mongo_database() -> None: - clean_cache_database() - clean_queue_database() - - -def test_process_next_dataset_job(): - add_dataset_job("acronym_identification") - result = process_next_dataset_job() - assert result is True - - -def test_process_next_split_job(): - add_split_job("acronym_identification", "default", "train") - result = process_next_split_job() - assert result is True diff --git a/services/worker/tests/deprecated/test_refresh.py b/services/worker/tests/deprecated/test_refresh.py deleted file mode 100644 index eda00e09..00000000 --- a/services/worker/tests/deprecated/test_refresh.py +++ /dev/null @@ -1,76 +0,0 @@ -import pytest -from libcache.cache import DbDataset -from libcache.cache import clean_database as clean_cache_database -from libcache.cache import connect_to_cache, get_rows_response -from libcache.cache import get_splits_response as old_get_splits_response -from libqueue.queue import clean_database as clean_queue_database -from libqueue.queue import connect_to_queue -from libutils.exceptions import Status400Error - -from worker.deprecated.refresh import refresh_dataset, refresh_split - -from ..utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL - -pytestmark = pytest.mark.deprecated - - [email protected](autouse=True, scope="module") -def safe_guard() -> None: - if "test" not in MONGO_CACHE_DATABASE: - raise ValueError("Test must be launched on a test mongo database") - - [email protected](autouse=True, scope="module") -def client() -> None: - connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) - connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) - - [email protected](autouse=True) -def clean_mongo_database() -> None: - clean_cache_database() - clean_queue_database() - - -def test_doesnotexist() -> None: - dataset_name = "doesnotexist" - with pytest.raises(Status400Error): - refresh_dataset(dataset_name) - # TODO: don't use internals of the cache database? - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "error" - - -def test_e2e_examples() -> None: - # see https://github.com/huggingface/datasets-server/issues/78 - dataset_name = "Check/region_1" - refresh_dataset(dataset_name) - # TODO: don't use internals of the cache database? - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "valid" - splits_response, error, status_code = old_get_splits_response(dataset_name) - assert status_code == 200 - assert error is None - assert splits_response is not None - assert "splits" in splits_response - assert len(splits_response["splits"]) == 1 - - -def test_large_document() -> None: - # see https://github.com/huggingface/datasets-server/issues/89 - dataset_name = "SaulLu/Natural_Questions_HTML" - refresh_dataset(dataset_name) - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "valid" - - -def test_column_order() -> None: - refresh_split("acronym_identification", "default", "train") - rows_response, error, status_code = get_rows_response("acronym_identification", "default", "train") - assert status_code == 200 - assert error is None - assert rows_response is not None - assert "columns" in rows_response - assert rows_response["columns"][0]["column"]["name"] == "id" - assert rows_response["columns"][1]["column"]["name"] == "tokens" - assert rows_response["columns"][2]["column"]["name"] == "labels" diff --git a/tools/DockerRemoteImages.mk b/tools/DockerRemoteImages.mk index f48f17d1..a01a046f 100644 --- a/tools/DockerRemoteImages.mk +++ b/tools/DockerRemoteImages.mk @@ -5,2 +4,0 @@ export IMAGE_WORKER_SPLITS := $(shell jq -r '.dockerImage.worker.splits' ${DOCKE -export IMAGE_WORKER_ROWS := $(shell jq -r '.dockerImage.worker.rows' ${DOCKER_IMAGES}) -export IMAGE_WORKER_SPLITS_NEXT := $(shell jq -r '.dockerImage.worker.splitsNext' ${DOCKER_IMAGES}) diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index 1dbdfc48..62d9cac2 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -45 +45 @@ services: - worker-datasets: + worker-splits: @@ -59 +59 @@ services: - WORKER_QUEUE: "datasets" + WORKER_QUEUE: "splits_responses" @@ -83,38 +82,0 @@ services: - worker-splits-next: - build: - context: .. - dockerfile: ./services/worker/Dockerfile - volumes: - - assets:/assets:rw - - datasets-cache:/datasets-cache:rw - environment: - ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" - ASSETS_DIRECTORY: "/assets" - HF_DATASETS_CACHE: "/datasets-cache" - HF_ENDPOINT: ${HF_ENDPOINT} - HF_TOKEN: ${HF_TOKEN} - MONGO_URL: "mongodb://mongodb" - WORKER_QUEUE: "splits_responses" - depends_on: - mongodb: - condition: service_started - restart: always - worker-splits: - build: - context: .. - dockerfile: ./services/worker/Dockerfile - volumes: - - assets:/assets:rw - - datasets-cache:/datasets-cache:rw - environment: - ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" - ASSETS_DIRECTORY: "/assets" - HF_DATASETS_CACHE: "/datasets-cache" - HF_ENDPOINT: ${HF_ENDPOINT} - HF_TOKEN: ${HF_TOKEN} - MONGO_URL: "mongodb://mongodb" - WORKER_QUEUE: "splits" - depends_on: - mongodb: - condition: service_started - restart: always diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index 6f0aa6df..70026b7a 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -46,36 +45,0 @@ services: - volumes: - - assets:/assets:rw - - datasets-cache:/datasets-cache:rw - environment: - ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" - ASSETS_DIRECTORY: "/assets" - HF_DATASETS_CACHE: "/datasets-cache" - HF_ENDPOINT: ${HF_ENDPOINT} - HF_TOKEN: ${HF_TOKEN} - MONGO_URL: "mongodb://mongodb" - ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100} - WORKER_SLEEP_SECONDS: "1" - WORKER_QUEUE: "datasets" - depends_on: - - mongodb - restart: always - worker-rows: - image: ${IMAGE_WORKER_ROWS?IMAGE_WORKER_ROWS env var must be provided} - volumes: - - assets:/assets:rw - - datasets-cache:/datasets-cache:rw - environment: - ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" - ASSETS_DIRECTORY: "/assets" - HF_DATASETS_CACHE: "/datasets-cache" - HF_ENDPOINT: ${HF_ENDPOINT} - HF_TOKEN: ${HF_TOKEN} - MONGO_URL: "mongodb://mongodb" - ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100} - WORKER_SLEEP_SECONDS: "1" - WORKER_QUEUE: "splits" - depends_on: - - mongodb - restart: always - worker-splits-next: - image: ${IMAGE_WORKER_SPLITS_NEXT?IMAGE_WORKER_SPLITS_NEXT env var must be provided}
b36e416cae5a1fb4a34c91d5723032c5f13a5bb3
Sylvain Lesage
2022-09-06T19:55:50
test: 💍 fix e2e tests since /healthcheck is not public anymore (#547)
diff --git a/e2e/tests/conftest.py b/e2e/tests/conftest.py index 79e22f1e..7fafc27a 100644 --- a/e2e/tests/conftest.py +++ b/e2e/tests/conftest.py @@ -12,2 +11,0 @@ def ensure_services_are_up() -> None: - assert poll("/healthcheck").status_code == 200 - assert poll("/admin/healthcheck").status_code == 200 diff --git a/e2e/tests/test_10_healthcheck.py b/e2e/tests/test_10_healthcheck.py index f69d3b79..019ed427 100644 --- a/e2e/tests/test_10_healthcheck.py +++ b/e2e/tests/test_10_healthcheck.py @@ -6,3 +6,3 @@ def test_healthcheck(): - response = poll("/healthcheck") - assert response.status_code == 200, f"{response.status_code} - {response.text}" - assert response.text == "ok", response.text + response = poll("/healthcheck", expected_code=404) + assert response.status_code == 404, f"{response.status_code} - {response.text}" + assert "Not Found" in response.text, response.text
53e165ee711ca1df6e62b1e70e707114a92508e6
Sylvain Lesage
2022-09-06T18:33:55
feat: 🎸 support OPTIONS requests (CORS pre-flight requests) (#538)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 51a576cb..722dcee1 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ff8e803", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-ff8e803", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-120ddb9", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-120ddb9", diff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template index 12b09069..c1dcb390 100644 --- a/chart/nginx-templates/default.conf.template +++ b/chart/nginx-templates/default.conf.template @@ -11,2 +10,0 @@ server { - add_header 'Access-Control-Allow-Origin' '*' always; - diff --git a/chart/templates/_helpers.tpl b/chart/templates/_helpers.tpl index beffdcaa..07ac6645 100644 --- a/chart/templates/_helpers.tpl +++ b/chart/templates/_helpers.tpl @@ -114,9 +113,0 @@ The numba-cache/ subpath in the NFS -{{/* -The nginx-cache/ subpath in the NFS -- in a subdirectory named as the chart (datasets-server/), and below it, -- in a subdirectory named as the Release, so that Releases will not share the same dir -*/}} -{{- define "cache.nginx.subpath" -}} -{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "cache-nginx-2" }} -{{- end }} - diff --git a/chart/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl index 775feaa9..412f94ae 100644 --- a/chart/templates/reverse-proxy/_container.tpl +++ b/chart/templates/reverse-proxy/_container.tpl @@ -8,8 +7,0 @@ - - name: CACHE_DIRECTORY - value: {{ .Values.reverseProxy.cacheDirectory | quote }} - - name: CACHE_INACTIVE - value: {{ .Values.reverseProxy.cacheInactive | quote }} - - name: CACHE_MAX_SIZE - value: {{ .Values.reverseProxy.cacheMaxSize | quote }} - - name: CACHE_ZONE_SIZE - value: {{ .Values.reverseProxy.cacheZoneSize | quote }} @@ -42,5 +33,0 @@ - - mountPath: {{ .Values.reverseProxy.cacheDirectory | quote }} - mountPropagation: None - name: nfs - subPath: "{{ include "cache.nginx.subpath" . }}" - readOnly: false diff --git a/chart/values.yaml b/chart/values.yaml index cef9c981..0f409722 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -66,2 +65,0 @@ reverseProxy: - # Directory of the nginx cache - cacheDirectory: "/nginx-cache" @@ -69,3 +66,0 @@ reverseProxy: - cacheInactive: 24h - cacheMaxSize: 1g - cacheZoneSize: 50m diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index 9ef5dc5d..45778c91 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -6,0 +7 @@ from starlette.middleware import Middleware +from starlette.middleware.cors import CORSMiddleware @@ -35 +36,7 @@ def create_app() -> Starlette: - middleware = [Middleware(GZipMiddleware), Middleware(PrometheusMiddleware, filter_unhandled_paths=True)] + middleware = [ + Middleware( + CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"], allow_credentials=True + ), + Middleware(GZipMiddleware), + Middleware(PrometheusMiddleware, filter_unhandled_paths=True), + ] diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 24d3fd4d..ae4f31e6 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -32,0 +33,28 @@ def clean_mongo_databases() -> None: +def test_cors(client: TestClient) -> None: + origin = "http://localhost:3000" + method = "GET" + header = "X-Requested-With" + response = client.options( + "/pending-jobs", + headers={ + "Origin": origin, + "Access-Control-Request-Method": method, + "Access-Control-Request-Headers": header, + }, + ) + assert response.status_code == 200 + assert ( + origin in [o.strip() for o in response.headers["Access-Control-Allow-Origin"].split(",")] + or response.headers["Access-Control-Allow-Origin"] == "*" + ) + assert ( + header in [o.strip() for o in response.headers["Access-Control-Allow-Headers"].split(",")] + or response.headers["Access-Control-Expose-Headers"] == "*" + ) + assert ( + method in [o.strip() for o in response.headers["Access-Control-Allow-Methods"].split(",")] + or response.headers["Access-Control-Expose-Headers"] == "*" + ) + assert response.headers["Access-Control-Allow-Credentials"] == "true" + + diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 02869d44..e460ac66 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -9,0 +10 @@ from starlette.middleware import Middleware +from starlette.middleware.cors import CORSMiddleware @@ -44 +45,7 @@ def create_app() -> Starlette: - middleware = [Middleware(GZipMiddleware), Middleware(PrometheusMiddleware, filter_unhandled_paths=True)] + middleware = [ + Middleware( + CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"], allow_credentials=True + ), + Middleware(GZipMiddleware), + Middleware(PrometheusMiddleware, filter_unhandled_paths=True), + ] diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 571c1894..782fa5c5 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -54,0 +55,28 @@ def clean_mongo_databases() -> None: +def test_cors(client: TestClient) -> None: + origin = "http://localhost:3000" + method = "GET" + header = "X-Requested-With" + response = client.options( + "/splits?dataset=dataset1", + headers={ + "Origin": origin, + "Access-Control-Request-Method": method, + "Access-Control-Request-Headers": header, + }, + ) + assert response.status_code == 200 + assert ( + origin in [o.strip() for o in response.headers["Access-Control-Allow-Origin"].split(",")] + or response.headers["Access-Control-Allow-Origin"] == "*" + ) + assert ( + header in [o.strip() for o in response.headers["Access-Control-Allow-Headers"].split(",")] + or response.headers["Access-Control-Expose-Headers"] == "*" + ) + assert ( + method in [o.strip() for o in response.headers["Access-Control-Allow-Methods"].split(",")] + or response.headers["Access-Control-Expose-Headers"] == "*" + ) + assert response.headers["Access-Control-Allow-Credentials"] == "true" + + diff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md index 7aad713d..d8b8e40b 100644 --- a/services/reverse-proxy/README.md +++ b/services/reverse-proxy/README.md @@ -11,0 +12 @@ The reverse proxy uses nginx: +- it serves the OpenAPI specification @@ -13,2 +13,0 @@ The reverse proxy uses nginx: -- it caches all the API responses, depending on their `cache-control` header -- it sets the `Access-Control-Allow-Origin` header to `*` to allow cross-origin requests @@ -19,4 +17,0 @@ It takes various environment variables, all of them are mandatory: -- `CACHE_INACTIVE`: maximum duration before being removed from cache, eg `24h` (see [proxy_cache_path](https://nginx.org/en/docs/http/ngx_http_proxy_module.html#proxy_cache_path)) -- `CACHE_MAX_SIZE`: maximum size of the cache, eg `1g` (see [proxy_cache_path](https://nginx.org/en/docs/http/ngx_http_proxy_module.html#proxy_cache_path)) -- `CACHE_DIRECTORY`: the directory that contains the nginx cache, eg `/nginx-cache` -- `CACHE_ZONE_SIZE`: size of the cache index, eg `50m` (see [proxy_cache_path](https://nginx.org/en/docs/http/ngx_http_proxy_module.html#proxy_cache_path)) @@ -31 +25,0 @@ The image requires three directories to be mounted (from volumes): -- `$CACHE_DIRECTORY` (read/write): the directory that contains the nginx cache
5402908dbfe1d83d5539092f6d6989854667fba9
Sylvain Lesage
2022-09-06T16:16:09
feat: 🎸 update certificate (#544)
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 4c77909d..73065caa 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -47 +47 @@ ingress: - alb.ingress.kubernetes.io/certificate-arn: arn:aws:acm:us-east-1:707930574880:certificate/777e3ae5-0c54-47ee-9b8c-d85eeb6ec4ae + alb.ingress.kubernetes.io/certificate-arn: arn:aws:acm:us-east-1:707930574880:certificate/971187a3-2baa-40e5-bcae-94d6ec55cd24
3d2fce70dd9e71ae9b9723863ee4b195809a15dd
Sylvain Lesage
2022-09-06T15:52:18
fix: 🐛 add missing annotations (#543)
diff --git a/chart/env/dev.yaml b/chart/env/dev.yaml index 4e59b845..f9fd50d7 100644 --- a/chart/env/dev.yaml +++ b/chart/env/dev.yaml @@ -23,0 +24,5 @@ ingress: + alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" + alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' + alb.ingress.kubernetes.io/scheme: "internet-facing" + alb.ingress.kubernetes.io/group.name: "datasets-server" + kubernetes.io/ingress.class: "alb" diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 45f4abe4..4c77909d 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -50,0 +51,5 @@ ingress: + alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" + alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' + alb.ingress.kubernetes.io/scheme: "internet-facing" + alb.ingress.kubernetes.io/group.name: "datasets-server" + kubernetes.io/ingress.class: "alb"
12b95e18abd7ad98b8238055c767494a7954b231
Sylvain Lesage
2022-09-06T15:40:25
feat: 🎸 add auth for /admin (#542)
diff --git a/chart/env/dev.yaml b/chart/env/dev.yaml index 01bbd30e..4e59b845 100644 --- a/chart/env/dev.yaml +++ b/chart/env/dev.yaml @@ -22,2 +21,0 @@ ingress: - alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" - alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' @@ -25 +22,0 @@ ingress: - alb.ingress.kubernetes.io/scheme: "internet-facing" @@ -27 +23,0 @@ ingress: - kubernetes.io/ingress.class: "alb" diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index b77542d7..45f4abe4 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -48,2 +47,0 @@ ingress: - alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" - alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' @@ -51 +48,0 @@ ingress: - alb.ingress.kubernetes.io/scheme: "internet-facing" @@ -54 +50,0 @@ ingress: - kubernetes.io/ingress.class: "alb" diff --git a/chart/templates/ingress.yaml b/chart/templates/ingress.yaml index 6fc6e777..ea57c91c 100644 --- a/chart/templates/ingress.yaml +++ b/chart/templates/ingress.yaml @@ -6,0 +7 @@ metadata: + alb.ingress.kubernetes.io/group.order: '2' diff --git a/chart/templates/ingressAdmin.yaml b/chart/templates/ingressAdmin.yaml new file mode 100644 index 00000000..8a72af8b --- /dev/null +++ b/chart/templates/ingressAdmin.yaml @@ -0,0 +1,25 @@ +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + annotations: + # to communicate with AWS + {{ toYaml .Values.ingress.annotations | nindent 4 }} + alb.ingress.kubernetes.io/auth-type: "oidc" + alb.ingress.kubernetes.io/auth-idp-oidc: '{"issuer":"https://hugging-face.okta.com","authorizationEndpoint":"https://hugging-face.okta.com/oauth2/v1/authorize","tokenEndpoint":"https://hugging-face.okta.com/oauth2/v1/token","userInfoEndpoint":"https://hugging-face.okta.com/oauth2/v1/userinfo","secretName":"sso-secret"}' + alb.ingress.kubernetes.io/group.order: '1' + labels: + {{ include "labels.reverseProxy" . | nindent 4 }} + name: "{{ include "release" . }}-admin" + namespace: {{ .Release.Namespace }} +spec: + rules: + - host: {{ .Values.apiDomain }} + http: + paths: + - backend: + service: + name: "{{ include "release" . }}-reverse-proxy" + port: + name: http + pathType: Prefix + path: /admin diff --git a/chart/values.yaml b/chart/values.yaml index 4a82f6a1..cef9c981 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -42 +42,6 @@ ingress: - annotations: {} + annotations: + alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" + alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' + alb.ingress.kubernetes.io/scheme: "internet-facing" + alb.ingress.kubernetes.io/group.name: "datasets-server" + kubernetes.io/ingress.class: "alb"
e70c647b080ca087d391ac8518f48d953630482d
Sylvain Lesage
2022-09-06T13:18:51
feat: 🎸 return 404 for /healthcheck and /metrics (#541)
diff --git a/chart/nginx-templates/404.html b/chart/nginx-templates/404.html new file mode 100644 index 00000000..540da532 --- /dev/null +++ b/chart/nginx-templates/404.html @@ -0,0 +1,5 @@ +<html> + <body> + <pre>Not Found</pre> + </body> +</html> diff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template index 29097024..12b09069 100644 --- a/chart/nginx-templates/default.conf.template +++ b/chart/nginx-templates/default.conf.template @@ -40 +40,11 @@ server { - access_log /var/log/nginx/access.log datasetsserver; + error_page 404 /404.html; + location = /404.html { + root /error-pages; + internal; + } + + location ~* ^(/admin)?(/healthcheck|/metrics)$ { + return 404; + } + + access_log /var/log/nginx/access.log datasetsserver; diff --git a/chart/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl index f3649e1f..775feaa9 100644 --- a/chart/templates/reverse-proxy/_container.tpl +++ b/chart/templates/reverse-proxy/_container.tpl @@ -28,0 +29,4 @@ + - name: error-pages + mountPath: /error-pages + mountPropagation: None + readOnly: true diff --git a/chart/templates/reverse-proxy/configMap.yaml b/chart/templates/reverse-proxy/configMap.yaml index d8c32caf..14f8eade 100644 --- a/chart/templates/reverse-proxy/configMap.yaml +++ b/chart/templates/reverse-proxy/configMap.yaml @@ -10,0 +11,2 @@ data: + 404.html: |- + {{ .Files.Get .Values.reverseProxy.error404File | nindent 4 }} diff --git a/chart/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml index b261d011..ab2bb9c7 100644 --- a/chart/templates/reverse-proxy/deployment.yaml +++ b/chart/templates/reverse-proxy/deployment.yaml @@ -45,0 +46,8 @@ spec: + - name: error-pages + configMap: + name: "{{ include "release" . }}-reverse-proxy" + defaultMode: 420 + optional: false + items: + - key: "404.html" + path: "404.html" diff --git a/chart/values.yaml b/chart/values.yaml index 79bb85a6..4a82f6a1 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -69,0 +70 @@ reverseProxy: + error404File: "nginx-templates/404.html"
353f033f9f36727a17bc5a6988781041215b75d7
Eliott C
2022-09-05T16:07:36
👽️ moon-landing will return 404 for auth-check instead of 403 (#535)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 5eb00b44..51a576cb 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-f83bf76", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f83bf76", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ff8e803", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-ff8e803", @@ -7,4 +7,4 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76", - "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803", + "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ff8e803" diff --git a/services/api/.env.example b/services/api/.env.example index 5b4cda96..fa687469 100644 --- a/services/api/.env.example +++ b/services/api/.env.example @@ -15,3 +15 @@ -# The authentication service must follow the specification in -# https://nginx.org/en/docs/http/ngx_http_auth_request_module.html -# and return 200, 401 or 403 +# The external authentication service must return 200, 401, 403 or 404. diff --git a/services/api/README.md b/services/api/README.md index da97c811..46acfc47 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -23 +23 @@ Set environment variables to configure the following aspects: -- `HF_AUTH_PATH`: the path of the external authentication service, on the hub (see `HF_ENDPOINT`). The string must contain `%s` which will be replaced with the dataset name. The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. If empty, the authentication is disabled. Defaults to "/api/datasets/%s/auth-check". +- `HF_AUTH_PATH`: the path of the external authentication service, on the hub (see `HF_ENDPOINT`). The string must contain `%s` which will be replaced with the dataset name. The external authentication service must return 200, 401, 403 or 404. If empty, the authentication is disabled. Defaults to "/api/datasets/%s/auth-check". diff --git a/services/api/src/api/authentication.py b/services/api/src/api/authentication.py index 830a4891..599d77f7 100644 --- a/services/api/src/api/authentication.py +++ b/services/api/src/api/authentication.py @@ -40,2 +40 @@ def auth_check( - The authentication service must follow the specification in - https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. + The authentication service must return 200, 401, 403 or 404. @@ -66 +65 @@ def auth_check( - elif response.status_code == 403: + elif response.status_code == 403 or response.status_code == 404: diff --git a/services/api/tests/test_authentication.py b/services/api/tests/test_authentication.py index 535ed9b9..89feab17 100644 --- a/services/api/tests/test_authentication.py +++ b/services/api/tests/test_authentication.py @@ -43,0 +44,4 @@ def test_external_auth_responses_without_request() -> None: + with pytest.raises(ExternalAuthenticatedError): + auth_check(dataset, external_auth_url=url) + + responses.add(responses.GET, url % dataset, status=429) diff --git a/services/api/tests/utils.py b/services/api/tests/utils.py index 3c2b18cb..2d42c8ca 100644 --- a/services/api/tests/utils.py +++ b/services/api/tests/utils.py @@ -8 +8 @@ def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Ma - # return 401 if a cookie has been provided, 403 if a token has been provided, + # return 401 if a cookie has been provided, 404 if a token has been provided, @@ -15 +15 @@ def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Ma - return (403, {"Content-Type": "text/plain"}, "OK") + return (404, {"Content-Type": "text/plain"}, "OK")
c92befbde66777cd1e427740fad03668e7eff7f7
Sylvain Lesage
2022-09-05T13:58:17
Update safety (#537)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index c367bfe1..5eb00b44 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-93472fb", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-93472fb", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-f83bf76", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f83bf76", @@ -7,4 +7,4 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0", - "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76", + "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-f83bf76" diff --git a/e2e/poetry.lock b/e2e/poetry.lock index c6c45611..bda6ee8d 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -453,3 +453,18 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] -name = "safety" -version = "1.10.3" -description = "Checks installed dependencies for known vulnerabilities." +name = "ruamel.yaml" +version = "0.17.21" +description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order" +category = "main" +optional = false +python-versions = ">=3" + +[package.dependencies] +"ruamel.yaml.clib" = {version = ">=0.2.6", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""} + +[package.extras] +docs = ["ryd"] +jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] + +[[package]] +name = "ruamel.yaml.clib" +version = "0.2.6" +description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" @@ -459,0 +475,8 @@ python-versions = ">=3.5" +[[package]] +name = "safety" +version = "2.1.1" +description = "Checks installed dependencies for known vulnerabilities and licenses." +category = "main" +optional = false +python-versions = "*" + @@ -461 +484 @@ python-versions = ">=3.5" -Click = ">=6.0" +Click = ">=8.0.2" @@ -463 +486 @@ dparse = ">=0.5.1" -packaging = "*" +packaging = ">=21.0" @@ -464,0 +488 @@ requests = "*" +"ruamel.yaml" = ">=0.17.21" @@ -558 +582 @@ python-versions = "3.9.6" -content-hash = "4c6498356591a3ad7c3d08341482301d79e1d83481311d2bf2eb3af59be2687e" +content-hash = "323da1fd11fc2760d0f1390619427a2e1afc578232ad2074c72578ce13291f5f" @@ -788,4 +812,3 @@ requests = [ -safety = [ - {file = "safety-1.10.3-py2.py3-none-any.whl", hash = "sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84"}, - {file = "safety-1.10.3.tar.gz", hash = "sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5"}, -] +"ruamel.yaml" = [] +"ruamel.yaml.clib" = [] +safety = [] diff --git a/e2e/pyproject.toml b/e2e/pyproject.toml index e788c734..5e7bb7aa 100644 --- a/e2e/pyproject.toml +++ b/e2e/pyproject.toml @@ -12 +12 @@ requests = "^2.27.1" -safety = "^1.10.3" +safety = "^2.1.1" diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index e19e1926..3b477d83 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -881,3 +881,18 @@ requests = ">=2.0.1,<3.0.0" -name = "safety" -version = "1.10.3" -description = "Checks installed dependencies for known vulnerabilities." +name = "ruamel.yaml" +version = "0.17.21" +description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order" +category = "dev" +optional = false +python-versions = ">=3" + +[package.dependencies] +"ruamel.yaml.clib" = {version = ">=0.2.6", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""} + +[package.extras] +docs = ["ryd"] +jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] + +[[package]] +name = "ruamel.yaml.clib" +version = "0.2.6" +description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" @@ -887,0 +903,8 @@ python-versions = ">=3.5" +[[package]] +name = "safety" +version = "2.1.1" +description = "Checks installed dependencies for known vulnerabilities and licenses." +category = "dev" +optional = false +python-versions = "*" + @@ -889 +912 @@ python-versions = ">=3.5" -Click = ">=6.0" +Click = ">=8.0.2" @@ -891 +914 @@ dparse = ">=0.5.1" -packaging = "*" +packaging = ">=21.0" @@ -892,0 +916 @@ requests = "*" +"ruamel.yaml" = ">=0.17.21" @@ -1046 +1070 @@ python-versions = "3.9.6" -content-hash = "ee3059c54fe77b9c90e8d88b7671c7a4d3ad0f9ed5b8d58757a6014a025dad4a" +content-hash = "78c8fc1d17b4ad1bcaf8bc94a8e617ae8e2e9467ec4dbe186ea6e77bb0dc5bd5" @@ -1520,4 +1544,3 @@ requests-toolbelt = [ -safety = [ - {file = "safety-1.10.3-py2.py3-none-any.whl", hash = "sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84"}, - {file = "safety-1.10.3.tar.gz", hash = "sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5"}, -] +"ruamel.yaml" = [] +"ruamel.yaml.clib" = [] +safety = [] diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index d7346cab..3dd63c67 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -24 +24 @@ pytest-cov = "^2.12.1" -safety = "^1.10.3" +safety = "^2.1.1" diff --git a/libs/libqueue/poetry.lock b/libs/libqueue/poetry.lock index 049ae560..484f1729 100644 --- a/libs/libqueue/poetry.lock +++ b/libs/libqueue/poetry.lock @@ -439,3 +439,18 @@ use_chardet_on_py3 = ["chardet (>=3.0.2,<5)"] -name = "safety" -version = "1.10.3" -description = "Checks installed dependencies for known vulnerabilities." +name = "ruamel.yaml" +version = "0.17.21" +description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order" +category = "dev" +optional = false +python-versions = ">=3" + +[package.dependencies] +"ruamel.yaml.clib" = {version = ">=0.2.6", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""} + +[package.extras] +docs = ["ryd"] +jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] + +[[package]] +name = "ruamel.yaml.clib" +version = "0.2.6" +description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" @@ -445,0 +461,8 @@ python-versions = ">=3.5" +[[package]] +name = "safety" +version = "2.1.1" +description = "Checks installed dependencies for known vulnerabilities and licenses." +category = "dev" +optional = false +python-versions = "*" + @@ -447 +470 @@ python-versions = ">=3.5" -Click = ">=6.0" +Click = ">=8.0.2" @@ -449 +472 @@ dparse = ">=0.5.1" -packaging = "*" +packaging = ">=21.0" @@ -450,0 +474 @@ requests = "*" +"ruamel.yaml" = ">=0.17.21" @@ -527 +551 @@ python-versions = "3.9.6" -content-hash = "e1befaba79a6b9b2eae40beb62a6dd799962a9d048d8bb8f6abc22a406fb21dc" +content-hash = "b0149b3dc630dbb2a2576b3f6bb5b4323204f2f4dfb130c83f108a7380b4e173" @@ -894,4 +918,3 @@ requests = [ -safety = [ - {file = "safety-1.10.3-py2.py3-none-any.whl", hash = "sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84"}, - {file = "safety-1.10.3.tar.gz", hash = "sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5"}, -] +"ruamel.yaml" = [] +"ruamel.yaml.clib" = [] +safety = [] diff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml index ec45af79..9e94fad3 100644 --- a/libs/libqueue/pyproject.toml +++ b/libs/libqueue/pyproject.toml @@ -22 +22 @@ pytest-cov = "^2.12.1" -safety = "^1.10.3" +safety = "^2.1.1" diff --git a/libs/libutils/poetry.lock b/libs/libutils/poetry.lock index ad0c2628..a0ed657a 100644 --- a/libs/libutils/poetry.lock +++ b/libs/libutils/poetry.lock @@ -804,3 +804,18 @@ requests = ">=2.0.1,<3.0.0" -name = "safety" -version = "1.10.3" -description = "Checks installed dependencies for known vulnerabilities." +name = "ruamel.yaml" +version = "0.17.21" +description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order" +category = "dev" +optional = false +python-versions = ">=3" + +[package.dependencies] +"ruamel.yaml.clib" = {version = ">=0.2.6", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""} + +[package.extras] +docs = ["ryd"] +jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] + +[[package]] +name = "ruamel.yaml.clib" +version = "0.2.6" +description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" @@ -810,0 +826,8 @@ python-versions = ">=3.5" +[[package]] +name = "safety" +version = "2.1.1" +description = "Checks installed dependencies for known vulnerabilities and licenses." +category = "dev" +optional = false +python-versions = "*" + @@ -812 +835 @@ python-versions = ">=3.5" -Click = ">=6.0" +Click = ">=8.0.2" @@ -814 +837 @@ dparse = ">=0.5.1" -packaging = "*" +packaging = ">=21.0" @@ -815,0 +839 @@ requests = "*" +"ruamel.yaml" = ">=0.17.21" @@ -969 +993 @@ python-versions = "3.9.6" -content-hash = "38da8a588513c1336ca9db2b5750abaa9dec24ce9d9efff5200a0a24d44b665a" +content-hash = "2529b65b50b8f047173250cae58d3546153fa9d6251597c98ce0972f28ff1626" @@ -1558,4 +1582,3 @@ requests-toolbelt = [ -safety = [ - {file = "safety-1.10.3-py2.py3-none-any.whl", hash = "sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84"}, - {file = "safety-1.10.3.tar.gz", hash = "sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5"}, -] +"ruamel.yaml" = [] +"ruamel.yaml.clib" = [] +safety = [] diff --git a/libs/libutils/pyproject.toml b/libs/libutils/pyproject.toml index a1e4d02a..825779ee 100644 --- a/libs/libutils/pyproject.toml +++ b/libs/libutils/pyproject.toml @@ -22 +22 @@ pytest-cov = "^2.12.1" -safety = "^1.10.3" +safety = "^2.1.1" diff --git a/services/admin/Makefile b/services/admin/Makefile index bcbdd12f..49eb6f3d 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -22,33 +21,0 @@ watch: - -.PHONY: cancel-jobs-splits -cancel-jobs-splits: - poetry run python src/admin/scripts/cancel_jobs_splits.py - -.PHONY: cancel-jobs-rows -cancel-jobs-rows: - poetry run python src/admin/scripts/cancel_jobs_rows.py - -.PHONY: cancel-jobs-splits-next -cancel-jobs-splits-next: - poetry run python src/admin/scripts/cancel_jobs_splits_next.py - -.PHONY: cancel-jobs-first-rows -cancel-jobs-first-rows: - poetry run python src/admin/scripts/cancel_jobs_first_rows.py - -.PHONY: refresh-cache -refresh-cache: - poetry run python src/admin/scripts/refresh_cache.py - -.PHONY: refresh-cache-canonical -refresh-cache-canonical: - poetry run python src/admin/scripts/refresh_cache_canonical.py - -.PHONY: refresh-cache-errors -refresh-cache-errors: - poetry run python src/admin/scripts/refresh_cache_errors.py - -.PHONY: warm-cache -warm-cache: - poetry run python src/admin/scripts/warm_cache.py - diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 3abd078a..26a3ae28 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -994,3 +994,18 @@ requests = ">=2.0.1,<3.0.0" -name = "safety" -version = "1.10.3" -description = "Checks installed dependencies for known vulnerabilities." +name = "ruamel.yaml" +version = "0.17.21" +description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order" +category = "dev" +optional = false +python-versions = ">=3" + +[package.dependencies] +"ruamel.yaml.clib" = {version = ">=0.2.6", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""} + +[package.extras] +docs = ["ryd"] +jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] + +[[package]] +name = "ruamel.yaml.clib" +version = "0.2.6" +description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" @@ -1000,0 +1016,8 @@ python-versions = ">=3.5" +[[package]] +name = "safety" +version = "2.1.1" +description = "Checks installed dependencies for known vulnerabilities and licenses." +category = "dev" +optional = false +python-versions = "*" + @@ -1002 +1025 @@ python-versions = ">=3.5" -Click = ">=6.0" +Click = ">=8.0.2" @@ -1004 +1027 @@ dparse = ">=0.5.1" -packaging = "*" +packaging = ">=21.0" @@ -1005,0 +1029 @@ requests = "*" +"ruamel.yaml" = ">=0.17.21" @@ -1201 +1225 @@ python-versions = "3.9.6" -content-hash = "d752b15e4218940e85ab8eb765d5dc7bae4925d75bc16a4cc345a06ca7ff427b" +content-hash = "4838f10ffdee3e7f42b0edf1d26cb01f9f087da50ead819af4b7002682bf7599" @@ -1945,4 +1969,3 @@ requests-toolbelt = [ -safety = [ - {file = "safety-1.10.3-py2.py3-none-any.whl", hash = "sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84"}, - {file = "safety-1.10.3.tar.gz", hash = "sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5"}, -] +"ruamel.yaml" = [] +"ruamel.yaml.clib" = [] +safety = [] diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 164530ca..18ef485a 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -28 +28 @@ pytest-cov = "^2.12.1" -safety = "^1.10.3" +safety = "^2.1.1" diff --git a/services/api/poetry.lock b/services/api/poetry.lock index e8935318..a7ea4de6 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -972,3 +972,18 @@ tests = ["pytest (>=7.0.0)", "coverage (>=6.0.0)", "pytest-cov", "pytest-asyncio -name = "safety" -version = "1.10.3" -description = "Checks installed dependencies for known vulnerabilities." +name = "ruamel.yaml" +version = "0.17.21" +description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order" +category = "dev" +optional = false +python-versions = ">=3" + +[package.dependencies] +"ruamel.yaml.clib" = {version = ">=0.2.6", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""} + +[package.extras] +docs = ["ryd"] +jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] + +[[package]] +name = "ruamel.yaml.clib" +version = "0.2.6" +description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" @@ -978,0 +994,8 @@ python-versions = ">=3.5" +[[package]] +name = "safety" +version = "2.1.1" +description = "Checks installed dependencies for known vulnerabilities and licenses." +category = "dev" +optional = false +python-versions = "*" + @@ -980 +1003 @@ python-versions = ">=3.5" -Click = ">=6.0" +Click = ">=8.0.2" @@ -982 +1005 @@ dparse = ">=0.5.1" -packaging = "*" +packaging = ">=21.0" @@ -983,0 +1007 @@ requests = "*" +"ruamel.yaml" = ">=0.17.21" @@ -1179 +1203 @@ python-versions = "3.9.6" -content-hash = "1c9c18112786ac7ca3223948c9d2499ed04abd0f32e270401b327ad596b695e2" +content-hash = "12ec697dab7f529a02353e4b6da188aa8d26d2d7c766a88e8ffe0e98814108c2" @@ -1919,4 +1943,3 @@ responses = [] -safety = [ - {file = "safety-1.10.3-py2.py3-none-any.whl", hash = "sha256:5f802ad5df5614f9622d8d71fedec2757099705c2356f862847c58c6dfe13e84"}, - {file = "safety-1.10.3.tar.gz", hash = "sha256:30e394d02a20ac49b7f65292d19d38fa927a8f9582cdfd3ad1adbbc66c641ad5"}, -] +"ruamel.yaml" = [] +"ruamel.yaml.clib" = [] +safety = [] diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index e9e1fb1a..1f0db559 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -28 +28 @@ responses = "^0.21.0" -safety = "^1.10.3" +safety = "^2.1.1" diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index d272167e..91c94ee1 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -434 +434 @@ torch = ["torch"] -tests = ["importlib-resources", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[server,s3] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] +tests = ["importlib-resources", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] @@ -440 +440 @@ docs = ["s3fs"] -dev = ["importlib-resources", "pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[server,s3] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] +dev = ["importlib-resources", "pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] @@ -614 +614 @@ name = "fsspec" -version = "2022.7.1" +version = "2022.8.2" @@ -621 +621 @@ python-versions = 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[] +"ruamel.yaml.clib" = [] +safety = [] diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 9079eb9c..233b648d 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -8 +8 @@ version = "0.1.1" -Pillow = "^8.4.0" +Pillow = "^9.0.0" @@ -53 +53 @@ pytest-cov = "^2.12.1" -safety = "^1.10.3" +safety = "^2.1.1"
4d29e21d4bf2a0efc246609edb7ddd11d9ee3190
Sylvain Lesage
2022-09-05T13:10:48
feat: 🎸 tweak prod parameters (#536)
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 35f03a89..b77542d7 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -106 +106 @@ worker: - replicas: 8 + replicas: 4 @@ -139 +139 @@ worker: - maxJobsPerDataset: 2 + maxJobsPerDataset: 5 @@ -142 +142 @@ worker: - replicas: 8 + replicas: 4 @@ -159 +159 @@ worker: - replicas: 10 + replicas: 34 @@ -175 +175 @@ worker: - maxJobsPerDataset: 2 + maxJobsPerDataset: 17
65f7e678c0965bef1932b941cf0005a49bbcd9f9
Quentin Lhoest
2022-08-26T15:23:52
Fix the `datasets` config parameters (#533)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 352259c4..c367bfe1 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,4 +7,4 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50", - "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0", + "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-c660cd0" @@ -12 +12 @@ - } + } diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py index 1bafb180..60a25197 100644 --- a/services/worker/src/worker/config.py +++ b/services/worker/src/worker/config.py @@ -2,0 +3 @@ import os +import datasets.config @@ -54,0 +56 @@ WORKER_SLEEP_SECONDS = get_int_value(os.environ, "WORKER_SLEEP_SECONDS", DEFAULT +# this one has to be set via an env variable unlike the others - this might be fixed in `datasets` at one point @@ -57 +59 @@ os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION -os.environ["HF_ENDPOINT"] = HF_ENDPOINT +datasets.config.HF_ENDPOINT = HF_ENDPOINT @@ -59 +61 @@ os.environ["HF_ENDPOINT"] = HF_ENDPOINT -os.environ["HF_UPDATE_DOWNLOAD_COUNTS"] = "false" +datasets.config.HF_UPDATE_DOWNLOAD_COUNTS = False
dc1444a4dc04985468e0b939db98b8152ecbfb41
Sylvain Lesage
2022-08-25T23:53:51
feat: 🎸 gve priority to datasets that have no started jobs yet (#531)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 80548fd2..352259c4 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,4 +7,4 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb", - "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50", + "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-2c49c50" diff --git a/libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl new file mode 100644 index 00000000..1fd43552 Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl differ diff --git a/libs/libqueue/dist/libqueue-0.1.11.tar.gz b/libs/libqueue/dist/libqueue-0.1.11.tar.gz new file mode 100644 index 00000000..790fecbf Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.11.tar.gz differ diff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml index 049f8f30..ec45af79 100644 --- a/libs/libqueue/pyproject.toml +++ b/libs/libqueue/pyproject.toml @@ -5 +5 @@ name = "libqueue" -version = "0.1.10" +version = "0.1.11" diff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py index 73756390..599ba48f 100644 --- a/libs/libqueue/src/libqueue/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -327 +327,5 @@ def get_finished(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: -def get_excluded_dataset_names(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None) -> List[str]: +def get_started_dataset_names(jobs: QuerySet[AnyJob]) -> List[str]: + return [job.dataset_name for job in jobs(status=Status.STARTED).only("dataset_name")] + + +def get_excluded_dataset_names(dataset_names: List[str], max_jobs_per_dataset: Optional[int] = None) -> List[str]: @@ -330 +333,0 @@ def get_excluded_dataset_names(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Opt - dataset_names = [job.dataset_name for job in jobs(status=Status.STARTED).only("dataset_name")] @@ -337 +340,2 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - excluded_dataset_names = get_excluded_dataset_names(jobs, max_jobs_per_dataset) + # try to get a job for a dataset that has still no started job + started_dataset_names = get_started_dataset_names(jobs) @@ -339,4 +343 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - jobs(status=Status.WAITING, dataset_name__nin=excluded_dataset_names) - .order_by("+created_at") - .no_cache() - .first() + jobs(status=Status.WAITING, dataset_name__nin=started_dataset_names).order_by("+created_at").no_cache().first() @@ -344,0 +346,10 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None + if next_waiting_job is None: + # the waiting jobs are all for datasets that already have started jobs. + # let's take the next one, in the limit of max_jobs_per_dataset + excluded_dataset_names = get_excluded_dataset_names(started_dataset_names, max_jobs_per_dataset) + next_waiting_job = ( + jobs(status=Status.WAITING, dataset_name__nin=excluded_dataset_names) + .order_by("+created_at") + .no_cache() + .first() + ) diff --git a/libs/libqueue/tests/test_queue.py b/libs/libqueue/tests/test_queue.py index cd357e33..70fc0660 100644 --- a/libs/libqueue/tests/test_queue.py +++ b/libs/libqueue/tests/test_queue.py @@ -108,0 +109,29 @@ def test_add_job_with_broken_collection() -> None: +def test_priority_to_non_started_datasets() -> None: + add_first_rows_job("dataset1", "config", "split1") + add_first_rows_job("dataset1", "config", "split2") + add_first_rows_job("dataset1", "config", "split3") + add_first_rows_job("dataset2", "config", "split1") + add_first_rows_job("dataset2", "config", "split2") + add_first_rows_job("dataset3", "config", "split1") + job_id, dataset_name, _, split_name, __ = get_first_rows_job() + assert dataset_name == "dataset1" + assert split_name == "split1" + job_id, dataset_name, _, split_name, __ = get_first_rows_job() + assert dataset_name == "dataset2" + assert split_name == "split1" + job_id, dataset_name, _, split_name, __ = get_first_rows_job() + assert dataset_name == "dataset3" + assert split_name == "split1" + job_id, dataset_name, _, split_name, __ = get_first_rows_job() + assert dataset_name == "dataset1" + assert split_name == "split2" + job_id, dataset_name, _, split_name, __ = get_first_rows_job() + assert dataset_name == "dataset1" + assert split_name == "split3" + job_id, dataset_name, _, split_name, __ = get_first_rows_job() + assert dataset_name == "dataset2" + assert split_name == "split2" + with pytest.raises(EmptyQueue): + get_first_rows_job() + + diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 6fd3f313..d272167e 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -994 +994 @@ name = "libqueue" -version = "0.1.10" +version = "0.1.11" @@ -1007 +1007 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl" @@ -2532 +2532 @@ python-versions = "3.9.6" -content-hash = "dc68050aa6686dc1c0116d94a9d918fe8c23391b23b4944491c14a19c5c26678" +content-hash = "093a388239cbc1f5cfd44d1f4dad6d08c7177521eb0900ce0920d5392fb6377a" @@ -3338 +3338 @@ libqueue = [ - {file = "libqueue-0.1.10-py3-none-any.whl", hash = "sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b"}, + {file = "libqueue-0.1.11-py3-none-any.whl", hash = "sha256:4a0f0205a5d522433d864574c291838e832765b90601f96573584ce6712a50e3"}, diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 3e2b5e8a..9079eb9c 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -19 +19 @@ libcache = { path = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl", -libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl", develop = false } +libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.11-py3-none-any.whl", develop = false }
85871378af0f541b0cf30d3ac17ffe79e5163a74
Sylvain Lesage
2022-08-25T22:06:11
fix: 🐛 handle the case where two jobs exist for the same ds (#530)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 1cec12bd..80548fd2 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ccb1d42", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-2e2f818", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-93472fb", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-93472fb", @@ -7,4 +7,4 @@ - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", - "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6" + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb", + "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-93472fb" diff --git a/libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl b/libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl new file mode 100644 index 00000000..26f147e6 Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl differ diff --git a/libs/libqueue/dist/libqueue-0.1.10.tar.gz b/libs/libqueue/dist/libqueue-0.1.10.tar.gz new file mode 100644 index 00000000..e19bb91b Binary files /dev/null and b/libs/libqueue/dist/libqueue-0.1.10.tar.gz differ diff --git a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml index 938f93cf..049f8f30 100644 --- a/libs/libqueue/pyproject.toml +++ b/libs/libqueue/pyproject.toml @@ -5 +5 @@ name = "libqueue" -version = "0.1.9" +version = "0.1.10" diff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py index b1155262..73756390 100644 --- a/libs/libqueue/src/libqueue/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -7,0 +8 @@ from mongoengine import Document, DoesNotExist, connect +from mongoengine.errors import MultipleObjectsReturned @@ -248 +249,2 @@ def get_datetime() -> datetime: -def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob): +def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob) -> AnyJob: + pending_jobs = existing_jobs.filter(status__in=[Status.WAITING, Status.STARTED]) @@ -250,2 +252,2 @@ def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob): - # Check if a non-finished job already exists - existing_jobs.filter(status__in=[Status.WAITING, Status.STARTED]).get() + # If one non-finished job exists, return it + return pending_jobs.get() @@ -253,2 +255,8 @@ def add_job(existing_jobs: QuerySet[AnyJob], new_job: AnyJob): - new_job.save() - # raises MultipleObjectsReturned if more than one entry -> should never occur, we let it raise + # None exist, create one + return new_job.save() + except MultipleObjectsReturned: + # should not happen, but it's not enforced in the database + # (we could have one in WAITING status and another one in STARTED status) + # it it happens, we "cancel" all of them, and re-run the same function + pending_jobs.update(finished_at=get_datetime(), status=Status.CANCELLED) + return add_job(existing_jobs, new_job) diff --git a/libs/libqueue/tests/test_queue.py b/libs/libqueue/tests/test_queue.py index 4625dea4..cd357e33 100644 --- a/libs/libqueue/tests/test_queue.py +++ b/libs/libqueue/tests/test_queue.py @@ -4,0 +5,2 @@ from libqueue.queue import ( + FirstRowsJob, + Status, @@ -10,0 +13 @@ from libqueue.queue import ( + get_datetime, @@ -70,0 +74,35 @@ def test_add_job() -> None: +def test_add_job_with_broken_collection() -> None: + dataset_name = "dataset_broken" + config_name = "config_broken" + split_name = "split_broken" + # ensure the jobs are cancelled with more than one exist in a "pending" status + # we "manually" create two jobs in a "pending" status for the same split + # (we normally cannot do that with the exposed methods) + job_1 = FirstRowsJob( + dataset_name=dataset_name, + config_name=config_name, + split_name=split_name, + created_at=get_datetime(), + status=Status.WAITING, + ).save() + job_2 = FirstRowsJob( + dataset_name=dataset_name, + config_name=config_name, + split_name=split_name, + created_at=get_datetime(), + started_at=get_datetime(), + status=Status.STARTED, + ).save() + # then we add a job: it should create a new job in the "WAITING" status + # and the two other jobs should be cancelled + add_first_rows_job(dataset_name=dataset_name, config_name=config_name, split_name=split_name) + assert ( + FirstRowsJob.objects( + dataset_name=dataset_name, config_name=config_name, split_name=split_name, status__in=[Status.WAITING] + ).count() + == 1 + ) + assert FirstRowsJob.objects(pk=job_1.pk).get().status == Status.CANCELLED + assert FirstRowsJob.objects(pk=job_2.pk).get().status == Status.CANCELLED + + diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 02c1979e..3abd078a 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -474 +474 @@ name = "libqueue" -version = "0.1.9" +version = "0.1.10" @@ -487 +487 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl" @@ -1201 +1201 @@ python-versions = "3.9.6" -content-hash = "74e577b2d1902d87de00736c6455c5be4f1c788fd1c81c4f37b901aa935f190f" +content-hash = "d752b15e4218940e85ab8eb765d5dc7bae4925d75bc16a4cc345a06ca7ff427b" @@ -1471 +1471 @@ libqueue = [ - {file = "libqueue-0.1.9-py3-none-any.whl", hash = "sha256:ef88903c08b95c18b91d2c863c5add148aa8aee0a261e5039ec8ff18f8f17626"}, + {file = "libqueue-0.1.10-py3-none-any.whl", hash = "sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 4023a485..164530ca 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -10 +10 @@ libcache = { path = "../../libs/libcache/dist/libcache-0.1.27-py3-none-any.whl", -libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", develop = false } +libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl", develop = false } diff --git a/services/api/poetry.lock b/services/api/poetry.lock index e374440e..e8935318 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -437 +437 @@ name = "libqueue" -version = "0.1.9" +version = "0.1.10" @@ -450 +450 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl" @@ -1179 +1179 @@ python-versions = "3.9.6" -content-hash = "633c78a9ad9fcb89e1368e6404f2874dd0dba5275af61c0d49d3e67e812fed62" +content-hash = "1c9c18112786ac7ca3223948c9d2499ed04abd0f32e270401b327ad596b695e2" @@ -1444 +1444 @@ libqueue = [ - {file = "libqueue-0.1.9-py3-none-any.whl", hash = "sha256:ef88903c08b95c18b91d2c863c5add148aa8aee0a261e5039ec8ff18f8f17626"}, + {file = "libqueue-0.1.10-py3-none-any.whl", hash = "sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b"}, diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 242bbb8f..e9e1fb1a 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -9 +9 @@ libcache = { path = "../../libs/libcache/dist/libcache-0.1.28-py3-none-any.whl", -libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", develop = false } +libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl", develop = false } diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 7b83a692..6fd3f313 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -994 +994 @@ name = "libqueue" -version = "0.1.9" +version = "0.1.10" @@ -1007 +1007 @@ type = "file" -url = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl" +url = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl" @@ -2532 +2532 @@ python-versions = "3.9.6" -content-hash = "c4a829aac4358fdfc3dfb86caec17625ea8f251d23ac2549d304a0848447531f" +content-hash = "dc68050aa6686dc1c0116d94a9d918fe8c23391b23b4944491c14a19c5c26678" @@ -3338 +3338 @@ libqueue = [ - {file = "libqueue-0.1.9-py3-none-any.whl", hash = "sha256:ef88903c08b95c18b91d2c863c5add148aa8aee0a261e5039ec8ff18f8f17626"}, + {file = "libqueue-0.1.10-py3-none-any.whl", hash = "sha256:95bf4adcbe35a146fbc797a95a0cd0650f83f9a64612bbf254ea017bda44f36b"}, diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index c9766319..3e2b5e8a 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -19 +19 @@ libcache = { path = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl", -libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", develop = false } +libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.10-py3-none-any.whl", develop = false } diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index f04b9a43..5d4095fc 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -10 +9,0 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s [email protected]
adc89ffec0d152d8079c156443adbfc13f95c5ee
Sylvain Lesage
2022-08-25T20:38:36
feat: 🎸 change the prod resources (#529)
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 52288098..35f03a89 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -106 +106 @@ worker: - replicas: 4 + replicas: 8 @@ -116 +116 @@ worker: - cpu: 1 + cpu: 2 @@ -139 +139 @@ worker: - maxJobsPerDataset: 3 + maxJobsPerDataset: 2 @@ -142 +142 @@ worker: - replicas: 4 + replicas: 8 @@ -152 +152 @@ worker: - cpu: 1 + cpu: 2 @@ -175 +175 @@ worker: - maxJobsPerDataset: 5 + maxJobsPerDataset: 2
63ecc62e05d566466deaafc6b97eb667ad9ffa25
Sylvain Lesage
2022-08-24T20:17:15
ci: 🎡 only copy the scripts targets to the Makefile in docker (#527)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 9d4db6bb..1cec12bd 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-6b82cd8", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ccb1d42", diff --git a/services/admin/Dockerfile b/services/admin/Dockerfile index 3a0b9857..9a769d8c 100644 --- a/services/admin/Dockerfile +++ b/services/admin/Dockerfile @@ -30 +30 @@ COPY services/admin/pyproject.toml ./services/admin/pyproject.toml -COPY services/admin/Makefile ./services/admin/Makefile +COPY services/admin/Scripts.mk ./services/admin/Makefile diff --git a/services/admin/Makefile b/services/admin/Makefile index 575569fe..bcbdd12f 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -12,0 +13 @@ include ../../tools/Docker.mk +include ./Scripts.mk diff --git a/services/admin/Scripts.mk b/services/admin/Scripts.mk new file mode 100644 index 00000000..3518bb5a --- /dev/null +++ b/services/admin/Scripts.mk @@ -0,0 +1,32 @@ +.PHONY: cancel-jobs-splits +cancel-jobs-splits: + poetry run python src/admin/scripts/cancel_jobs_splits.py + +.PHONY: cancel-jobs-rows +cancel-jobs-rows: + poetry run python src/admin/scripts/cancel_jobs_rows.py + +.PHONY: cancel-jobs-splits-next +cancel-jobs-splits-next: + poetry run python src/admin/scripts/cancel_jobs_splits_next.py + +.PHONY: cancel-jobs-first-rows +cancel-jobs-first-rows: + poetry run python src/admin/scripts/cancel_jobs_first_rows.py + +.PHONY: refresh-cache +refresh-cache: + poetry run python src/admin/scripts/refresh_cache.py + +.PHONY: refresh-cache-canonical +refresh-cache-canonical: + poetry run python src/admin/scripts/refresh_cache_canonical.py + +.PHONY: refresh-cache-errors +refresh-cache-errors: + poetry run python src/admin/scripts/refresh_cache_errors.py + +.PHONY: warm-cache +warm-cache: + poetry run python src/admin/scripts/warm_cache.py + diff --git a/services/admin/src/admin/scripts/cancel_jobs_splits_next.py b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py index 39c7385c..c91829fa 100644 --- a/services/admin/src/admin/scripts/cancel_jobs_splits_next.py +++ b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py @@ -13 +13 @@ if __name__ == "__main__": - logger.info("all the started jobs in the splits/ queue have been cancelled and re-enqueued") + logger.info("all the started jobs in the splits-next/ queue have been cancelled and re-enqueued")
cfbcf0651b9b5707a9c8adc79c4db60bd5ab6118
Sylvain Lesage
2022-08-24T19:23:57
feat: 🎸 rename the tags of the /admin/metrics (#524)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 5eb560a7..9d4db6bb 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-1012c87", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-6b82cd8", diff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py index 1649b001..ccf80d8f 100644 --- a/services/admin/src/admin/prometheus.py +++ b/services/admin/src/admin/prometheus.py @@ -58,0 +59 @@ class Prometheus: + # Queue metrics @@ -60 +61 @@ class Prometheus: - self.metrics["queue_jobs_total"].labels(queue="datasets", status=status).set(total) + self.metrics["queue_jobs_total"].labels(queue="/splits", status=status).set(total) @@ -62 +63 @@ class Prometheus: - self.metrics["queue_jobs_total"].labels(queue="splits", status=status).set(total) + self.metrics["queue_jobs_total"].labels(queue="/rows", status=status).set(total) @@ -64 +65 @@ class Prometheus: - self.metrics["queue_jobs_total"].labels(queue="splits/", status=status).set(total) + self.metrics["queue_jobs_total"].labels(queue="/splits-next", status=status).set(total) @@ -66 +67,2 @@ class Prometheus: - self.metrics["queue_jobs_total"].labels(queue="first-rows/", status=status).set(total) + self.metrics["queue_jobs_total"].labels(queue="/first-rows", status=status).set(total) + # Cache metrics @@ -68 +70 @@ class Prometheus: - self.metrics["cache_entries_total"].labels(cache="datasets", status=status).set(total) + self.metrics["cache_entries_total"].labels(cache="/splits", status=status).set(total) @@ -70 +72 @@ class Prometheus: - self.metrics["cache_entries_total"].labels(cache="splits", status=status).set(total) + self.metrics["cache_entries_total"].labels(cache="/rows", status=status).set(total) diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 0263ca87..24d3fd4d 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -49,4 +49,5 @@ def test_metrics(client: TestClient) -> None: - assert 'queue_jobs_total{queue="datasets",status="waiting"}' in metrics - assert 'queue_jobs_total{queue="splits/",status="success"}' in metrics - assert 'queue_jobs_total{queue="first-rows/",status="started"}' in metrics - assert 'cache_entries_total{cache="datasets",status="valid"}' in metrics + assert 'queue_jobs_total{queue="/splits",status="waiting"}' in metrics + assert 'queue_jobs_total{queue="/rows",status="success"}' in metrics + assert 'queue_jobs_total{queue="/splits-next",status="started"}' in metrics + assert 'queue_jobs_total{queue="/first-rows",status="started"}' in metrics + assert 'cache_entries_total{cache="/splits",status="valid"}' in metrics @@ -54 +55 @@ def test_metrics(client: TestClient) -> None: - assert 'responses_in_cache_total{path="/splits",http_status="200",error_code=null}' not in metrics + assert 'responses_in_cache_total{path="/rows",http_status="200",error_code=null}' not in metrics @@ -55,0 +57 @@ def test_metrics(client: TestClient) -> None: + assert 'responses_in_cache_total{path="/splits-next",http_status="200",error_code=null}' not in metrics
2f421cb141002f7c32b759c72f659973d8616484
Sylvain Lesage
2022-08-24T19:09:45
ci: 🎡 restore Makefile in the docker image (#523)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index a4ad6123..5eb560a7 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-17a5c96", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-1012c87", diff --git a/services/admin/Dockerfile b/services/admin/Dockerfile index 52ad88bf..3a0b9857 100644 --- a/services/admin/Dockerfile +++ b/services/admin/Dockerfile @@ -29,0 +30 @@ COPY services/admin/pyproject.toml ./services/admin/pyproject.toml +COPY services/admin/Makefile ./services/admin/Makefile
2693a7417f908c2fbd59defdab40d726894da283
Sylvain Lesage
2022-08-24T18:57:32
ci: 🎡 fix the names to have a better coherence (#522)
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index d8f2a0da..47ff2e33 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -76,2 +75,0 @@ jobs: - IMAGE_WORKER_DATASETS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.datasets}}" - IMAGE_WORKER_FIRST_ROWS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}" @@ -78,0 +77 @@ jobs: + IMAGE_WORKER_ROWS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.rows}}" @@ -79,0 +79 @@ jobs: + IMAGE_WORKER_FIRST_ROWS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}" diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 6c9e5694..a4ad6123 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,2 +6,0 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", @@ -10 +8,3 @@ - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6" + "rows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6" diff --git a/chart/env/dev.yaml b/chart/env/dev.yaml index 733cb17e..01bbd30e 100644 --- a/chart/env/dev.yaml +++ b/chart/env/dev.yaml @@ -48 +48 @@ worker: - datasets: + splits: @@ -57 +57 @@ worker: - firstRows: + rows: @@ -66 +66 @@ worker: - splits: + splitsNext: @@ -75 +75 @@ worker: - splitsNext: + firstRows: diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 1c4409bf..52288098 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -105 +105 @@ worker: - datasets: + splits: @@ -122,2 +122,2 @@ worker: - splitsNext: - replicas: 4 + rows: + replicas: 10 @@ -133 +133 @@ worker: - cpu: 1 + cpu: 2 @@ -137,0 +138,2 @@ worker: + # Maximum number of jobs running at the same time for the same dataset + maxJobsPerDataset: 3 @@ -139,2 +141,2 @@ worker: - firstRows: - replicas: 10 + splitsNext: + replicas: 4 @@ -150 +152 @@ worker: - cpu: 2 + cpu: 1 @@ -155,2 +156,0 @@ worker: - # Maximum number of jobs running at the same time for the same dataset - maxJobsPerDataset: 3 @@ -158 +158 @@ worker: - splits: + firstRows: @@ -175 +175,2 @@ worker: - maxJobsPerDataset: 3 + maxJobsPerDataset: 5 + diff --git a/chart/templates/_helpers.tpl b/chart/templates/_helpers.tpl index 1b34814e..beffdcaa 100644 --- a/chart/templates/_helpers.tpl +++ b/chart/templates/_helpers.tpl @@ -55 +55 @@ app: "{{ include "release" . }}-api" -{{- define "labels.worker.datasets" -}} +{{- define "labels.worker.splits" -}} @@ -57 +57 @@ app: "{{ include "release" . }}-api" -app: "{{ include "release" . }}-worker-datasets" +app: "{{ include "release" . }}-worker-splits" @@ -60 +60 @@ app: "{{ include "release" . }}-worker-datasets" -{{- define "labels.worker.splits" -}} +{{- define "labels.worker.rows" -}} @@ -62 +62 @@ app: "{{ include "release" . }}-worker-datasets" -app: "{{ include "release" . }}-worker-splits" +app: "{{ include "release" . }}-worker-rows" diff --git a/chart/templates/worker/datasets/_container.tpl b/chart/templates/worker/rows/_container.tpl similarity index 56% rename from chart/templates/worker/datasets/_container.tpl rename to chart/templates/worker/rows/_container.tpl index 85cb3830..82d8cbfa 100644 --- a/chart/templates/worker/datasets/_container.tpl +++ b/chart/templates/worker/rows/_container.tpl @@ -1,2 +1,2 @@ -{{- define "containerWorkerDatasets" -}} -- name: "{{ include "name" . }}-worker-datasets" +{{- define "containerWorkerRows" -}} +- name: "{{ include "name" . }}-worker-rows" @@ -7 +7 @@ - value: {{ .Values.worker.datasets.assetsDirectory | quote }} + value: {{ .Values.worker.rows.assetsDirectory | quote }} @@ -9 +9 @@ - value: {{ .Values.worker.datasets.datasetsRevision | quote }} + value: {{ .Values.worker.rows.datasetsRevision | quote }} @@ -11 +11 @@ - value: "{{ .Values.worker.datasets.cacheDirectory }}/datasets" + value: "{{ .Values.worker.rows.cacheDirectory }}/datasets" @@ -13,0 +14 @@ + # note: HF_MODULES_CACHE is not set to a shared directory @@ -27 +28 @@ - value: {{ .Values.worker.datasets.logLevel | quote }} + value: {{ .Values.worker.rows.logLevel | quote }} @@ -29 +30 @@ - value: {{ .Values.worker.datasets.maxJobRetries | quote }} + value: {{ .Values.worker.rows.maxJobRetries | quote }} @@ -31 +32 @@ - value: {{ .Values.worker.datasets.maxJobsPerDataset | quote }} + value: {{ .Values.worker.rows.maxJobsPerDataset | quote }} @@ -33 +34 @@ - value: {{ .Values.worker.datasets.maxLoadPct | quote }} + value: {{ .Values.worker.rows.maxLoadPct | quote }} @@ -35 +36 @@ - value: {{ .Values.worker.datasets.maxMemoryPct | quote }} + value: {{ .Values.worker.rows.maxMemoryPct | quote }} @@ -37 +38 @@ - value: {{ .Values.worker.datasets.maxSizeFallback | quote }} + value: {{ .Values.worker.rows.maxSizeFallback | quote }} @@ -39 +40 @@ - value: {{ .Values.worker.datasets.minCellBytes | quote }} + value: {{ .Values.worker.rows.minCellBytes | quote }} @@ -55 +56 @@ - value: {{ .Values.worker.datasets.numbaCacheDirectory | quote }} + value: {{ .Values.worker.rows.numbaCacheDirectory | quote }} @@ -57 +58 @@ - value: {{ .Values.worker.datasets.rowsMaxBytes | quote }} + value: {{ .Values.worker.rows.rowsMaxBytes | quote }} @@ -59 +60 @@ - value: {{ .Values.worker.datasets.rowsMaxNumber | quote }} + value: {{ .Values.worker.rows.rowsMaxNumber | quote }} @@ -61 +62 @@ - value: {{ .Values.worker.datasets.rowsMinNumber| quote }} + value: {{ .Values.worker.rows.rowsMinNumber| quote }} @@ -63 +64 @@ - value: {{ .Values.worker.datasets.workerSleepSeconds | quote }} + value: {{ .Values.worker.rows.workerSleepSeconds | quote }} @@ -65,3 +66,5 @@ - # Job queue the worker will pull jobs from: 'datasets' or 'splits' - value: "datasets" - image: {{ .Values.dockerImage.worker.datasets }} + # Job queue the worker will pull jobs from: + # Note that the names might be confusing but have a historical reason + # /splits -> 'datasets', /rows -> 'splits' + value: "splits" + image: {{ .Values.dockerImage.worker.rows }} @@ -70 +73 @@ - - mountPath: {{ .Values.worker.datasets.assetsDirectory | quote }} + - mountPath: {{ .Values.worker.rows.assetsDirectory | quote }} @@ -75 +78 @@ - - mountPath: {{ .Values.worker.datasets.cacheDirectory | quote }} + - mountPath: {{ .Values.worker.rows.cacheDirectory | quote }} @@ -80 +83 @@ - - mountPath: {{ .Values.worker.datasets.numbaCacheDirectory | quote }} + - mountPath: {{ .Values.worker.rows.numbaCacheDirectory | quote }} @@ -90 +93 @@ - # port: {{ .Values.worker.datasets.readinessPort }} + # port: {{ .Values.worker.rows.readinessPort }} @@ -93 +96 @@ - # port: {{ .Values.worker.datasets.readinessPort }} + # port: {{ .Values.worker.rows.readinessPort }} @@ -95 +98 @@ - {{ toYaml .Values.worker.datasets.resources | nindent 4 }} + {{ toYaml .Values.worker.rows.resources | nindent 4 }} diff --git a/chart/templates/worker/datasets/deployment.yaml b/chart/templates/worker/rows/deployment.yaml similarity index 62% rename from chart/templates/worker/datasets/deployment.yaml rename to chart/templates/worker/rows/deployment.yaml index fe19a4af..ec8a8c97 100644 --- a/chart/templates/worker/datasets/deployment.yaml +++ b/chart/templates/worker/rows/deployment.yaml @@ -5,2 +5,2 @@ metadata: - {{ include "labels.worker.datasets" . | nindent 4 }} - name: "{{ include "release" . }}-worker-datasets" + {{ include "labels.worker.rows" . | nindent 4 }} + name: "{{ include "release" . }}-worker-rows" @@ -10 +10 @@ spec: - replicas: {{ .Values.worker.datasets.replicas }} + replicas: {{ .Values.worker.rows.replicas }} @@ -14 +14 @@ spec: - {{ include "labels.worker.datasets" . | nindent 6 }} + {{ include "labels.worker.rows" . | nindent 6 }} @@ -20 +20 @@ spec: - {{ include "labels.worker.datasets" . | nindent 8 }} + {{ include "labels.worker.rows" . | nindent 8 }} @@ -27 +27 @@ spec: - {{ include "containerWorkerDatasets" . | nindent 8 }} + {{ include "containerWorkerRows" . | nindent 8 }} @@ -29 +29 @@ spec: - {{ toYaml .Values.worker.datasets.nodeSelector | nindent 8 }} + {{ toYaml .Values.worker.rows.nodeSelector | nindent 8 }} @@ -31 +31 @@ spec: - {{ toYaml .Values.worker.datasets.tolerations | nindent 8 }} + {{ toYaml .Values.worker.rows.tolerations | nindent 8 }} diff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl index dfa81798..bc4863ed 100644 --- a/chart/templates/worker/splits/_container.tpl +++ b/chart/templates/worker/splits/_container.tpl @@ -8 +8 @@ - - name: DATASETS_REVISION + - name: splits_REVISION @@ -14 +13,0 @@ - # note: HF_MODULES_CACHE is not set to a shared directory @@ -66,2 +65,4 @@ - # Job queue the worker will pull jobs from: 'datasets' or 'splits' - value: "splits" + # Job queue the worker will pull jobs from: + # Note that the names might be confusing but have a historical reason + # /splits -> 'datasets', /rows -> 'splits' + value: "datasets" diff --git a/chart/values.yaml b/chart/values.yaml index 53f8b2e8..79bb85a6 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -19 +18,0 @@ dockerImage: - datasets: "" @@ -20,0 +20,3 @@ dockerImage: + rows: "" + splits-next: "" + first-rows: "" @@ -105 +107 @@ worker: - datasets: + splits: @@ -149 +151 @@ worker: - firstRows: + rows: @@ -166,2 +167,0 @@ worker: - # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) - hfToken: "" @@ -235 +235 @@ worker: - splits: + firstRows: @@ -251,0 +252,2 @@ worker: + # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) + hfToken: "" diff --git a/tools/DockerRemoteImages.mk b/tools/DockerRemoteImages.mk index 149cd420..f48f17d1 100644 --- a/tools/DockerRemoteImages.mk +++ b/tools/DockerRemoteImages.mk @@ -4,2 +3,0 @@ export IMAGE_REVERSE_PROXY := $(shell jq -r '.dockerImage.reverseProxy' ${DOCKER -export IMAGE_WORKER_DATASETS := $(shell jq -r '.dockerImage.worker.datasets' ${DOCKER_IMAGES}) -export IMAGE_WORKER_FIRST_ROWS := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES}) @@ -6,0 +5 @@ export IMAGE_WORKER_SPLITS := $(shell jq -r '.dockerImage.worker.splits' ${DOCKE +export IMAGE_WORKER_ROWS := $(shell jq -r '.dockerImage.worker.rows' ${DOCKER_IMAGES}) @@ -7,0 +7 @@ export IMAGE_WORKER_SPLITS_NEXT := $(shell jq -r '.dockerImage.worker.splitsNext +export IMAGE_WORKER_FIRST_ROWS := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES}) diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index dd3e4934..6f0aa6df 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -44,2 +44,2 @@ services: - worker-datasets: - image: ${IMAGE_WORKER_DATASETS?IMAGE_WORKER_DATASETS env var must be provided} + worker-splits: + image: ${IMAGE_WORKER_SPLITS?IMAGE_WORKER_SPLITS env var must be provided} @@ -62,2 +62,2 @@ services: - worker-first-rows: - image: ${IMAGE_WORKER_FIRST_ROWS?IMAGE_WORKER_FIRST_ROWS env var must be provided} + worker-rows: + image: ${IMAGE_WORKER_ROWS?IMAGE_WORKER_ROWS env var must be provided} @@ -76 +76 @@ services: - WORKER_QUEUE: "first_rows_responses" + WORKER_QUEUE: "splits" @@ -98,2 +98,2 @@ services: - worker-splits: - image: ${IMAGE_WORKER_SPLITS?IMAGE_WORKER_SPLITS env var must be provided} + worker-first-rows: + image: ${IMAGE_WORKER_FIRST_ROWS?IMAGE_WORKER_FIRST_ROWS env var must be provided} @@ -112 +112 @@ services: - WORKER_QUEUE: "splits" + WORKER_QUEUE: "first_rows_responses"
d7f1c1e40cd6c700cdfcbb70b2d20d2090e78c48
Sylvain Lesage
2022-08-24T18:33:39
Update tools (#521)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 5cbb7d43..6c9e5694 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a391ac2", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-dcd92f4", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-17a5c96", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-2e2f818", diff --git a/services/admin/Makefile b/services/admin/Makefile index c6a51eb8..575569fe 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -22,3 +22,3 @@ watch: -.PHONY: cancel-started-split-jobs -cancel-started-split-jobs: - poetry run python src/admin/scripts/cancel_started_split_jobs.py +.PHONY: cancel-jobs-splits +cancel-jobs-splits: + poetry run python src/admin/scripts/cancel_jobs_splits.py @@ -26,3 +26,3 @@ cancel-started-split-jobs: -.PHONY: cancel-started-dataset-jobs -cancel-started-dataset-jobs: - poetry run python src/admin/scripts/cancel_started_dataset_jobs.py +.PHONY: cancel-jobs-rows +cancel-jobs-rows: + poetry run python src/admin/scripts/cancel_jobs_rows.py @@ -30,3 +30,3 @@ cancel-started-dataset-jobs: -.PHONY: cancel-started-splits-jobs -cancel-started-splits-jobs: - poetry run python src/admin/scripts/cancel_started_splits_jobs.py +.PHONY: cancel-jobs-splits-next +cancel-jobs-splits-next: + poetry run python src/admin/scripts/cancel_jobs_splits_next.py @@ -34,3 +34,3 @@ cancel-started-splits-jobs: -.PHONY: cancel-started-first-rows-jobs -cancel-started-first-rows-jobs: - poetry run python src/admin/scripts/cancel_started_first_rows_jobs.py +.PHONY: cancel-jobs-first-rows +cancel-jobs-first-rows: + poetry run python src/admin/scripts/cancel_jobs_first_rows.py diff --git a/services/admin/README.md b/services/admin/README.md index d04d4397..093f0413 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -45,7 +45,8 @@ The scripts: -- `cancel-started-split-jobs`: cancel all the started split jobs (stop the workers before!) -- `cancel-started-dataset-jobs`: cancel all the started dataset jobs (stop the workers before!) -- `cancel-started-splits-jobs`: cancel all the started splits/ jobs (stop the workers before!) -- `cancel-started-first-rows-jobs`: cancel all the started first-rows/ jobs (stop the workers before!) -- `refresh-cache`: add a job for every HF dataset -- `refresh-cache-canonical`: add a job for every HF canonical dataset -- `warm-cache`: create jobs for all the missing datasets and/or splits +- `cancel-jobs-splits`: cancel all the started jobs for /splits (stop the workers before!) +- `cancel-jobs-rows`: cancel all the started jobs for /rows (stop the workers before!) +- `cancel-jobs-splits-next`: cancel all the started jobs for /splits-next (stop the workers before!) +- `cancel-jobs-first-rows`: cancel all the started jobs for /first-rows (stop the workers before!) +- `refresh-cache`: add a /splits-next job for every HF dataset +- `refresh-cache-canonical`: add a /splits-next job for every HF canonical dataset +- `refresh-cache-errors`: add a /splits-next job for every erroneous HF dataset +- `warm-cache`: create /splits-next and /first-rows jobs for all the missing datasets and/or splits diff --git a/services/admin/src/admin/scripts/cancel_started_first_rows_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py similarity index 76% rename from services/admin/src/admin/scripts/cancel_started_first_rows_jobs.py rename to services/admin/src/admin/scripts/cancel_jobs_first_rows.py index e1b03f63..0036927a 100644 --- a/services/admin/src/admin/scripts/cancel_started_first_rows_jobs.py +++ b/services/admin/src/admin/scripts/cancel_jobs_first_rows.py @@ -9,2 +9,2 @@ if __name__ == "__main__": - init_logger(LOG_LEVEL, "cancel_started_first_rows_jobs") - logger = logging.getLogger("cancel_started_first_rows_jobs") + init_logger(LOG_LEVEL, "cancel_jobs_first_rows") + logger = logging.getLogger("cancel_jobs_first_rows") diff --git a/services/admin/src/admin/scripts/cancel_started_split_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_rows.py similarity index 77% rename from services/admin/src/admin/scripts/cancel_started_split_jobs.py rename to services/admin/src/admin/scripts/cancel_jobs_rows.py index 8da2150a..dd53b4bf 100644 --- a/services/admin/src/admin/scripts/cancel_started_split_jobs.py +++ b/services/admin/src/admin/scripts/cancel_jobs_rows.py @@ -9,2 +9,2 @@ if __name__ == "__main__": - init_logger(LOG_LEVEL, "cancel_started_split_jobs") - logger = logging.getLogger("cancel_started_split_jobs") + init_logger(LOG_LEVEL, "cancel_jobs_rows") + logger = logging.getLogger("cancel_jobs_rows") diff --git a/services/admin/src/admin/scripts/cancel_started_dataset_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_splits.py similarity index 77% rename from services/admin/src/admin/scripts/cancel_started_dataset_jobs.py rename to services/admin/src/admin/scripts/cancel_jobs_splits.py index 72341444..0ebd5729 100644 --- a/services/admin/src/admin/scripts/cancel_started_dataset_jobs.py +++ b/services/admin/src/admin/scripts/cancel_jobs_splits.py @@ -9,2 +9,2 @@ if __name__ == "__main__": - init_logger(LOG_LEVEL, "cancel_started_dataset_jobs") - logger = logging.getLogger("cancel_started_dataset_jobs") + init_logger(LOG_LEVEL, "cancel_jobs_splits") + logger = logging.getLogger("cancel_jobs_splits") diff --git a/services/admin/src/admin/scripts/cancel_started_splits_jobs.py b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py similarity index 77% rename from services/admin/src/admin/scripts/cancel_started_splits_jobs.py rename to services/admin/src/admin/scripts/cancel_jobs_splits_next.py index d7aac5d4..39c7385c 100644 --- a/services/admin/src/admin/scripts/cancel_started_splits_jobs.py +++ b/services/admin/src/admin/scripts/cancel_jobs_splits_next.py @@ -9,2 +9,2 @@ if __name__ == "__main__": - init_logger(LOG_LEVEL, "cancel_started_splits_jobs") - logger = logging.getLogger("cancel_started_splits_jobs") + init_logger(LOG_LEVEL, "cancel_jobs_splits_next") + logger = logging.getLogger("cancel_jobs_splits_next") diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index 71fb7ed2..891f4198 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -5 +5 @@ from huggingface_hub.hf_api import HfApi # type: ignore -from libqueue.queue import add_dataset_job, add_splits_job, connect_to_queue +from libqueue.queue import add_splits_job, connect_to_queue @@ -20 +19,0 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None: - add_dataset_job(dataset_name) diff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py index 85e1d60a..50742c0f 100644 --- a/services/admin/src/admin/scripts/warm_cache.py +++ b/services/admin/src/admin/scripts/warm_cache.py @@ -10 +10 @@ from libcache.cache import ( -from libqueue.queue import add_dataset_job, add_split_job, connect_to_queue +from libqueue.queue import add_first_rows_job, add_splits_job, connect_to_queue @@ -31 +31 @@ def warm_cache(dataset_names: List[str]) -> None: - add_dataset_job(dataset) + add_splits_job(dataset) @@ -39 +39 @@ def warm_cache(dataset_names: List[str]) -> None: - add_split_job(dataset, config, split) + add_first_rows_job(dataset, config, split) diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 95df090c..02869d44 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -34 +34 @@ from api.routes.valid_next import create_is_valid_next_endpoint, valid_next_endp -from api.routes.webhook import webhook_endpoint +from api.routes.webhook import webhook_endpoint, webhook_endpoint_with_deprecated @@ -61 +61,2 @@ def create_app() -> Starlette: - Route("/webhook", endpoint=webhook_endpoint, methods=["POST"]), + Route("/webhook", endpoint=webhook_endpoint_with_deprecated, methods=["POST"]), + Route("/webhook-next", endpoint=webhook_endpoint, methods=["POST"]), diff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py index 7b2d6d75..08e2f9cc 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -49,3 +49 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]: - if not are_valid_parameters([dataset_name]): - return None - return dataset_name + return dataset_name if are_valid_parameters([dataset_name]) else None @@ -54 +52 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]: -def try_to_update(id: Optional[str]) -> None: +def try_to_update(id: Optional[str], with_deprecated: bool) -> None: @@ -58,2 +56,3 @@ def try_to_update(id: Optional[str]) -> None: - create_or_mark_dataset_as_stale(dataset_name) - add_dataset_job(dataset_name) + if with_deprecated: + create_or_mark_dataset_as_stale(dataset_name) + add_dataset_job(dataset_name) @@ -66 +65 @@ def try_to_update(id: Optional[str]) -> None: -def try_to_delete(id: Optional[str]) -> None: +def try_to_delete(id: Optional[str], with_deprecated: bool) -> None: @@ -70 +69,2 @@ def try_to_delete(id: Optional[str]) -> None: - delete_dataset_cache(dataset_name) + if with_deprecated: + delete_dataset_cache(dataset_name) @@ -76,4 +76,4 @@ def try_to_delete(id: Optional[str]) -> None: -def process_payload(payload: MoonWebhookV2Payload) -> None: - try_to_update(payload["add"]) - try_to_update(payload["update"]) - try_to_delete(payload["remove"]) +def process_payload(payload: MoonWebhookV2Payload, with_deprecated=False) -> None: + try_to_update(payload["add"], with_deprecated) + try_to_update(payload["update"], with_deprecated) + try_to_delete(payload["remove"], with_deprecated) @@ -82 +82 @@ def process_payload(payload: MoonWebhookV2Payload) -> None: -async def webhook_endpoint(request: Request) -> Response: +async def webhook_endpoint_with_deprecated(request: Request) -> Response: @@ -94,0 +95,18 @@ async def webhook_endpoint(request: Request) -> Response: + process_payload(payload, with_deprecated=True) + content = {"status": "ok"} + return get_response(content, 200) + + +async def webhook_endpoint(request: Request) -> Response: + try: + json = await request.json() + except Exception: + content = {"status": "error", "error": "the body could not be parsed as a JSON"} + return get_response(content, 400) + logger.info(f"/webhook-next: {json}") + try: + payload = parse_payload(json) + except Exception: + content = {"status": "error", "error": "the JSON payload is invalid"} + return get_response(content, 400) +
af0e882716f68739337553e5a6811aeafcb6249d
Sylvain Lesage
2022-08-24T18:03:37
Reduce responses size (#520)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index e0d44424..5cbb7d43 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-dcd92f4", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a391ac2", @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcb60d6" diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 895a7879..b82784a5 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -410 +410 @@ - "required": ["features", "rows"], + "required": ["dataset", "config", "split", "features", "rows"], @@ -411,0 +412,9 @@ + "dataset": { + "type": "string" + }, + "config": { + "type": "string" + }, + "split": { + "type": "string" + }, @@ -438,8 +447 @@ - "required": [ - "dataset", - "config", - "split", - "feature_idx", - "name", - "type" - ], + "required": ["feature_idx", "name", "type"], @@ -447,9 +448,0 @@ - "dataset": { - "type": "string" - }, - "config": { - "type": "string" - }, - "split": { - "type": "string" - }, @@ -829,8 +822 @@ - "required": [ - "dataset", - "config", - "split", - "row_idx", - "row", - "truncated_cells" - ], + "required": ["row_idx", "row", "truncated_cells"], @@ -838,9 +823,0 @@ - "dataset": { - "type": "string" - }, - "config": { - "type": "string" - }, - "split": { - "type": "string" - }, @@ -1255 +1232 @@ - " File \"/src/services/worker/src/worker/models/dataset.py\", line 21, in <listcomp>\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n", + " File \"/src/services/worker/src/worker/models/dataset.py\", line 21, in <listcomp>\n for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token)\n", @@ -2476,3 +2453,3 @@ - "dataset_name": "duorc", - "config_name": "SelfRC", - "split_name": "train", + "dataset": "duorc", + "config": "SelfRC", + "split": "train", @@ -2483,3 +2460,3 @@ - "dataset_name": "duorc", - "config_name": "SelfRC", - "split_name": "validation", + "dataset": "duorc", + "config": "SelfRC", + "split": "validation", @@ -2490,3 +2467,3 @@ - "dataset_name": "duorc", - "config_name": "SelfRC", - "split_name": "test", + "dataset": "duorc", + "config": "SelfRC", + "split": "test", @@ -2497,3 +2474,3 @@ - "dataset_name": "duorc", - "config_name": "ParaphraseRC", - "split_name": "train", + "dataset": "duorc", + "config": "ParaphraseRC", + "split": "train", @@ -2504,3 +2481,3 @@ - "dataset_name": "duorc", - "config_name": "ParaphraseRC", - "split_name": "validation", + "dataset": "duorc", + "config": "ParaphraseRC", + "split": "validation", @@ -2511,3 +2488,3 @@ - "dataset_name": "duorc", - "config_name": "ParaphraseRC", - "split_name": "test", + "dataset": "duorc", + "config": "ParaphraseRC", + "split": "test", @@ -2525,3 +2502,3 @@ - "dataset_name": "emotion", - "config_name": "default", - "split_name": "train", + "dataset": "emotion", + "config": "default", + "split": "train", @@ -2532,3 +2509,3 @@ - "dataset_name": "emotion", - "config_name": "default", - "split_name": "validation", + "dataset": "emotion", + "config": "default", + "split": "validation", @@ -2539,3 +2516,3 @@ - "dataset_name": "emotion", - "config_name": "default", - "split_name": "test", + "dataset": "emotion", + "config": "default", + "split": "test", @@ -2696 +2673 @@ - " File \"/src/services/worker/src/worker/responses/splits.py\", line 74, in get_splits_response\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 74, in get_splits_response\n split_full_names = get_dataset_split_full_names(dataset, hf_token)\n", @@ -2698 +2675 @@ - " File \"/src/services/worker/src/worker/responses/splits.py\", line 38, in <listcomp>\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 38, in <listcomp>\n for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token)\n", @@ -2713,2 +2690,2 @@ - " File \"/src/services/worker/src/worker/responses/splits.py\", line 74, in get_splits_response\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n", - " File \"/src/services/worker/src/worker/responses/splits.py\", line 37, in get_dataset_split_full_names\n for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 74, in get_splits_response\n split_full_names = get_dataset_split_full_names(dataset, hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 37, in get_dataset_split_full_names\n for config in get_dataset_config_names(dataset, use_auth_token=hf_token)\n", @@ -2844,0 +2822,3 @@ + "dataset": "imdb", + "config": "plain_text", + "split": "train", @@ -2847,3 +2826,0 @@ - "dataset": "imdb", - "config": "plain_text", - "split": "train", @@ -2859,3 +2835,0 @@ - "dataset": "imdb", - "config": "plain_text", - "split": "train", @@ -2874,3 +2847,0 @@ - "dataset": "imdb", - "config": "plain_text", - "split": "train", @@ -2885,3 +2855,0 @@ - "dataset": "imdb", - "config": "plain_text", - "split": "train", @@ -2896,3 +2863,0 @@ - "dataset": "imdb", - "config": "plain_text", - "split": "train", @@ -2907,3 +2871,0 @@ - "dataset": "imdb", - "config": "plain_text", - "split": "train", @@ -2922,0 +2885,3 @@ + "dataset": "ett", + "config": "m2", + "split": "test", @@ -2925,3 +2889,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -2937,3 +2898,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -2954,3 +2912,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -2971,3 +2926,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -2993,3 +2945,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -3007,3 +2956,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -3021,3 +2967,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -3035,3 +2978,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -3049,3 +2989,0 @@ - "dataset": "ett", - "config": "m2", - "split": "test", @@ -3067,0 +3006,3 @@ + "dataset": "huggan/horse2zebra", + "config": "huggan--horse2zebra-aligned", + "split": "train", @@ -3070,3 +3010,0 @@ - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", @@ -3082,3 +3019,0 @@ - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", @@ -3096,3 +3030,0 @@ - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", @@ -3107,3 +3038,0 @@ - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", @@ -3118,3 +3046,0 @@ - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", @@ -3129,3 +3054,0 @@ - "dataset": "huggan/horse2zebra", - "config": "huggan--horse2zebra-aligned", - "split": "train", @@ -3144,0 +3068,3 @@ + "dataset": "mozilla-foundation/common_voice_9_0", + "config": "en", + "split": "train", @@ -3147,3 +3072,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3159,3 +3081,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3171,3 +3090,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3185,3 +3101,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3197,3 +3110,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3209,3 +3119,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3221,3 +3128,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3233,3 +3137,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3245,3 +3146,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3257,3 +3155,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3269,3 +3164,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3283,3 +3175,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3312,3 +3201,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", @@ -3341,3 +3227,0 @@ - "dataset": "mozilla-foundation/common_voice_9_0", - "config": "en", - "split": "train", diff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py index aa1d6e83..85e1d60a 100644 --- a/services/admin/src/admin/scripts/warm_cache.py +++ b/services/admin/src/admin/scripts/warm_cache.py @@ -28,2 +28,2 @@ def warm_cache(dataset_names: List[str]) -> None: - for dataset_name in dataset_names: - if should_dataset_be_refreshed(dataset_name): + for dataset in dataset_names: + if should_dataset_be_refreshed(dataset): @@ -31,3 +31,3 @@ def warm_cache(dataset_names: List[str]) -> None: - add_dataset_job(dataset_name) - logger.info(f"added a job to refresh '{dataset_name}'") - elif split_full_names := list_split_full_names_to_refresh(dataset_name): + add_dataset_job(dataset) + logger.info(f"added a job to refresh '{dataset}'") + elif split_full_names := list_split_full_names_to_refresh(dataset): @@ -35,3 +35,3 @@ def warm_cache(dataset_names: List[str]) -> None: - dataset_name = split_full_name["dataset_name"] - config_name = split_full_name["config_name"] - split_name = split_full_name["split_name"] + dataset = split_full_name["dataset"] + config = split_full_name["config"] + split = split_full_name["split"] @@ -39,5 +39,2 @@ def warm_cache(dataset_names: List[str]) -> None: - add_split_job(dataset_name, config_name, split_name) - logger.info( - f"added a job to refresh split '{split_name}' from dataset '{dataset_name}' with config" - f" '{config_name}'" - ) + add_split_job(dataset, config, split) + logger.info(f"added a job to refresh split '{split}' from dataset '{dataset}' with config '{config}'") @@ -45 +42 @@ def warm_cache(dataset_names: List[str]) -> None: - logger.debug(f"dataset already in the cache: '{dataset_name}'") + logger.debug(f"dataset already in the cache: '{dataset}'") diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 6508fab7..571c1894 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -55,20 +54,0 @@ def clean_mongo_databases() -> None: -# TODO: move to e2e tests -# def test_get_cache_reports(client: TestClient) -> None: -# refresh_dataset_split_full_names("acronym_identification") -# response = client.get("/cache-reports") -# assert response.status_code == 200 -# json = response.json() -# assert "datasets" in json -# assert "splits" in json -# datasets = json["datasets"] -# assert "empty" in datasets -# assert "error" in datasets -# assert "stale" in datasets -# assert "valid" in datasets -# assert len(datasets["valid"]) == 1 -# report = datasets["valid"][0] -# assert "dataset" in report -# assert "status" in report -# assert "error" in report - - diff --git a/services/worker/src/worker/features.py b/services/worker/src/worker/features.py index e420bbba..9101ae4f 100644 --- a/services/worker/src/worker/features.py +++ b/services/worker/src/worker/features.py @@ -23,3 +23,3 @@ def image( - dataset_name: str, - config_name: str, - split_name: str, + dataset: str, + config: str, + split: str, @@ -39 +39 @@ def image( - dataset_name, config_name, split_name, row_idx, featureName, f"image{ext}", value, assets_base_url + dataset, config, split, row_idx, featureName, f"image{ext}", value, assets_base_url @@ -50,3 +50,3 @@ def audio( - dataset_name: str, - config_name: str, - split_name: str, + dataset: str, + config: str, + split: str, @@ -70,3 +70 @@ def audio( - return create_audio_files( - dataset_name, config_name, split_name, row_idx, featureName, array, sampling_rate, assets_base_url - ) + return create_audio_files(dataset, config, split, row_idx, featureName, array, sampling_rate, assets_base_url) @@ -79,3 +77,3 @@ def get_cell_value( - dataset_name: str, - config_name: str, - split_name: str, + dataset: str, + config: str, + split: str, @@ -89 +87 @@ def get_cell_value( - return image(dataset_name, config_name, split_name, row_idx, cell, featureName, assets_base_url) + return image(dataset, config, split, row_idx, cell, featureName, assets_base_url) @@ -91 +89 @@ def get_cell_value( - return audio(dataset_name, config_name, split_name, row_idx, cell, featureName, assets_base_url) + return audio(dataset, config, split, row_idx, cell, featureName, assets_base_url) diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index 20838f48..082eb552 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -50,2 +50,2 @@ def process_next_splits_job() -> bool: - job_id, dataset_name, retries = get_splits_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset_name}") + job_id, dataset, retries = get_splits_job(MAX_JOBS_PER_DATASET) + logger.debug(f"job assigned: {job_id} for dataset={dataset}") @@ -59,2 +59,2 @@ def process_next_splits_job() -> bool: - logger.info(f"compute dataset={dataset_name}") - http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN) + logger.info(f"compute dataset={dataset}") + http_status, can_retry = refresh_splits(dataset=dataset, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN) @@ -67 +67 @@ def process_next_splits_job() -> bool: - logger.debug(f"job finished with {result}: {job_id} for dataset={dataset_name}") + logger.debug(f"job finished with {result}: {job_id} for dataset={dataset}") @@ -69,2 +69,2 @@ def process_next_splits_job() -> bool: - add_splits_job(dataset_name, retries=retries + 1) - logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset_name}") + add_splits_job(dataset, retries=retries + 1) + logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset}") @@ -79,2 +79,2 @@ def process_next_first_rows_job() -> bool: - job_id, dataset_name, config_name, split_name, retries = get_first_rows_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset_name} config={config_name} split={split_name}") + job_id, dataset, config, split, retries = get_first_rows_job(MAX_JOBS_PER_DATASET) + logger.debug(f"job assigned: {job_id} for dataset={dataset} config={config} split={split}") @@ -88 +88 @@ def process_next_first_rows_job() -> bool: - logger.info(f"compute dataset={dataset_name} config={config_name} split={split_name}") + logger.info(f"compute dataset={dataset} config={config} split={split}") @@ -90,3 +90,3 @@ def process_next_first_rows_job() -> bool: - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, + dataset=dataset, + config=config, + split=split, @@ -107,3 +107 @@ def process_next_first_rows_job() -> bool: - logger.debug( - f"job finished with {result}: {job_id} for dataset={dataset_name} config={config_name} split={split_name}" - ) + logger.debug(f"job finished with {result}: {job_id} for dataset={dataset} config={config} split={split}") @@ -111,5 +109,2 @@ def process_next_first_rows_job() -> bool: - add_first_rows_job(dataset_name, config_name, split_name, retries=retries + 1) - logger.debug( - f"job re-enqueued (retries: {retries}) for" - f" dataset={dataset_name} config={config_name} split={split_name}" - ) + add_first_rows_job(dataset, config, split, retries=retries + 1) + logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset} config={config} split={split}") diff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py index 60e8ac1d..722a07a2 100644 --- a/services/worker/src/worker/refresh.py +++ b/services/worker/src/worker/refresh.py @@ -26 +26 @@ logger = logging.getLogger(__name__) -def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]: +def refresh_splits(dataset: str, hf_endpoint: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]: @@ -28,3 +28,3 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - response = get_splits_response(dataset_name, hf_endpoint, hf_token) - upsert_splits_response(dataset_name, dict(response), HTTPStatus.OK) - logger.debug(f"dataset={dataset_name} is valid, cache updated") + response = get_splits_response(dataset, hf_endpoint, hf_token) + upsert_splits_response(dataset, dict(response), HTTPStatus.OK) + logger.debug(f"dataset={dataset} is valid, cache updated") @@ -32,2 +32,2 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - splits_in_cache = get_dataset_first_rows_response_splits(dataset_name) - new_splits = [(s["dataset_name"], s["config_name"], s["split_name"]) for s in response["splits"]] + splits_in_cache = get_dataset_first_rows_response_splits(dataset) + new_splits = [(s["dataset"], s["config"], s["split"]) for s in response["splits"]] @@ -39 +39 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - f" dataset={dataset_name}" + f" dataset={dataset}" @@ -43 +43 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - logger.debug(f"{len(new_splits)} 'first-rows' jobs added for the splits of dataset={dataset_name}") + logger.debug(f"{len(new_splits)} 'first-rows' jobs added for the splits of dataset={dataset}") @@ -46 +46 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - logger.debug(f"the dataset={dataset_name} could not be found, don't update the cache") + logger.debug(f"the dataset={dataset} could not be found, don't update the cache") @@ -50 +50 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - dataset_name, + dataset, @@ -56 +56 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - logger.debug(f"splits response for dataset={dataset_name} had an error, cache updated") + logger.debug(f"splits response for dataset={dataset} had an error, cache updated") @@ -61 +61 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - dataset_name, + dataset, @@ -67 +67 @@ def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] - logger.debug(f"splits response for dataset={dataset_name} had a server error, cache updated") + logger.debug(f"splits response for dataset={dataset} had a server error, cache updated") @@ -72,3 +72,3 @@ def refresh_first_rows( - dataset_name: str, - config_name: str, - split_name: str, + dataset: str, + config: str, + split: str, @@ -85,3 +85,3 @@ def refresh_first_rows( - dataset_name, - config_name, - split_name, + dataset, + config, + split, @@ -96,2 +96,2 @@ def refresh_first_rows( - upsert_first_rows_response(dataset_name, config_name, split_name, dict(response), HTTPStatus.OK) - logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} is valid, cache updated") + upsert_first_rows_response(dataset, config, split, dict(response), HTTPStatus.OK) + logger.debug(f"dataset={dataset} config={config} split={split} is valid, cache updated") @@ -101,2 +101 @@ def refresh_first_rows( - f"the dataset={dataset_name}, config {config_name} or split {split_name} could not be found, don't update" - " the cache" + f"the dataset={dataset}, config {config} or split {split} could not be found, don't update the cache" @@ -107,3 +106,3 @@ def refresh_first_rows( - dataset_name, - config_name, - split_name, + dataset, + config, + split, @@ -116,2 +115 @@ def refresh_first_rows( - f"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had an error," - " cache updated" + f"first-rows response for dataset={dataset} config={config} split={split} had an error, cache updated" @@ -123,3 +121,3 @@ def refresh_first_rows( - dataset_name, - config_name, - split_name, + dataset, + config, + split, @@ -132 +130 @@ def refresh_first_rows( - f"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had a server" + f"first-rows response for dataset={dataset} config={config} split={split} had a server" diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index 92107018..566d2e3c 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -37,3 +36,0 @@ class FeatureItem(TypedDict): - dataset: str - config: str - split: str @@ -46,3 +42,0 @@ class RowItem(TypedDict): - dataset: str - config: str - split: str @@ -54,0 +49,3 @@ class FirstRowsResponse(TypedDict): + dataset: str + config: str + split: str @@ -61,3 +58,3 @@ def get_rows( - dataset_name: str, - config_name: str, - split_name: str, + dataset: str, + config: str, + split: str, @@ -68,4 +65,4 @@ def get_rows( - dataset = load_dataset( - dataset_name, - name=config_name, - split=split_name, + ds = load_dataset( + dataset, + name=config, + split=split, @@ -76 +73 @@ def get_rows( - if not isinstance(dataset, IterableDataset): + if not isinstance(ds, IterableDataset): @@ -78 +75 @@ def get_rows( - elif not isinstance(dataset, Dataset): + elif not isinstance(ds, Dataset): @@ -80 +77 @@ def get_rows( - rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1)) + rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) @@ -136 +133 @@ def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[Ro -def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: int, row: Row) -> RowItem: +def to_row_item(dataset: str, config: str, split: str, row_idx: int, row: Row) -> RowItem: @@ -138,3 +134,0 @@ def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: i - "dataset": dataset_name, - "config": config_name, - "split": split_name, @@ -148,3 +142,3 @@ def create_truncated_row_items( - dataset_name: str, - config_name: str, - split_name: str, + dataset: str, + config: str, + split: str, @@ -164 +158 @@ def create_truncated_row_items( - row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) + row_item = to_row_item(dataset, config, split, row_idx, row) @@ -180 +174 @@ def create_truncated_row_items( - row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) + row_item = to_row_item(dataset, config, split, row_idx, row) @@ -193 +187 @@ def transform_rows( - dataset_name: str, config_name: str, split_name: str, rows: List[Row], features: Features, assets_base_url: str + dataset: str, config: str, split: str, rows: List[Row], features: Features, assets_base_url: str @@ -198,3 +192,3 @@ def transform_rows( - dataset_name, - config_name, - split_name, + dataset, + config, + split, @@ -220 +214 @@ def transform_rows( -def to_features_list(dataset_name: str, config_name: str, split_name: str, features: Features) -> List[FeatureItem]: +def to_features_list(dataset: str, config: str, split: str, features: Features) -> List[FeatureItem]: @@ -224,3 +217,0 @@ def to_features_list(dataset_name: str, config_name: str, split_name: str, featu - "dataset": dataset_name, - "config": config_name, - "split": split_name, @@ -236,3 +227,3 @@ def get_first_rows_response( - dataset_name: str, - config_name: str, - split_name: str, + dataset: str, + config: str, + split: str, @@ -251 +242 @@ def get_first_rows_response( - dataset_name (`str`): + dataset (`str`): @@ -254 +245 @@ def get_first_rows_response( - config_name (`str`): + config (`str`): @@ -256 +247 @@ def get_first_rows_response( - split_name (`str`): + split (`str`): @@ -294 +285 @@ def get_first_rows_response( - logger.info(f"get first-rows for dataset={dataset_name} config={config_name} split={split_name}") + logger.info(f"get first-rows for dataset={dataset} config={config} split={split}") @@ -302 +293 @@ def get_first_rows_response( - splits_response = get_splits_response(dataset_name, hf_endpoint, hf_token) + splits_response = get_splits_response(dataset, hf_endpoint, hf_token) @@ -304,3 +295,3 @@ def get_first_rows_response( - if config_name not in [split_item["config_name"] for split_item in splits_response["splits"]]: - raise ConfigNotFoundError(f"config {config_name} does not exist for dataset {dataset_name}") - if {"dataset_name": dataset_name, "config_name": config_name, "split_name": split_name} not in [ + if config not in [split_item["config"] for split_item in splits_response["splits"]]: + raise ConfigNotFoundError(f"config {config} does not exist for dataset {dataset}") + if {"dataset": dataset, "config": config, "split": split} not in [ @@ -308,3 +299,3 @@ def get_first_rows_response( - "dataset_name": split_item["dataset_name"], - "config_name": split_item["config_name"], - "split_name": split_item["split_name"], + "dataset": split_item["dataset"], + "config": split_item["config"], + "split": split_item["split"], @@ -318,2 +309,2 @@ def get_first_rows_response( - path=dataset_name, - config_name=config_name, + path=dataset, + config_name=config, @@ -328,3 +319,3 @@ def get_first_rows_response( - dataset_name, - name=config_name, - split=split_name, + dataset, + name=config, + split=split, @@ -346,3 +337 @@ def get_first_rows_response( - rows = get_rows( - dataset_name, config_name, split_name, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token - ) + rows = get_rows(dataset, config, split, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token) @@ -357,3 +346,3 @@ def get_first_rows_response( - dataset_name, - config_name, - split_name, + dataset, + config, + split, @@ -371 +360 @@ def get_first_rows_response( - transformed_rows = transform_rows(dataset_name, config_name, split_name, rows, features, assets_base_url) + transformed_rows = transform_rows(dataset, config, split, rows, features, assets_base_url) @@ -378,3 +367 @@ def get_first_rows_response( - row_items = create_truncated_row_items( - dataset_name, config_name, split_name, transformed_rows, rows_max_bytes, rows_min_number - ) + row_items = create_truncated_row_items(dataset, config, split, transformed_rows, rows_max_bytes, rows_min_number) @@ -383 +370,4 @@ def get_first_rows_response( - "features": to_features_list(dataset_name, config_name, split_name, features), + "dataset": dataset, + "config": config, + "split": split, + "features": to_features_list(dataset, config, split, features), diff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py index c0e481bb..1fb2e49f 100644 --- a/services/worker/src/worker/responses/splits.py +++ b/services/worker/src/worker/responses/splits.py @@ -19,3 +19,3 @@ class SplitFullName(TypedDict): - dataset_name: str - config_name: str - split_name: str + dataset: str + config: str + split: str @@ -33,2 +33,2 @@ class SplitsResponse(TypedDict): -def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]: - logger.info(f"get dataset '{dataset_name}' split full names") +def get_dataset_split_full_names(dataset: str, hf_token: Optional[str] = None) -> List[SplitFullName]: + logger.info(f"get dataset '{dataset}' split full names") @@ -36,3 +36,3 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No - {"dataset_name": dataset_name, "config_name": config_name, "split_name": split_name} - for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token) - for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token) + {"dataset": dataset, "config": config, "split": split} + for config in get_dataset_config_names(dataset, use_auth_token=hf_token) + for split in get_dataset_split_names(dataset, config, use_auth_token=hf_token) @@ -43 +43 @@ def get_splits_response( - dataset_name: str, + dataset: str, @@ -51 +51 @@ def get_splits_response( - dataset_name (`str`): + dataset (`str`): @@ -67 +67 @@ def get_splits_response( - logger.info(f"get splits for dataset={dataset_name}") + logger.info(f"get splits for dataset={dataset}") @@ -70 +70 @@ def get_splits_response( - HfApi(endpoint=hf_endpoint).dataset_info(dataset_name, token=hf_token) + HfApi(endpoint=hf_endpoint).dataset_info(dataset, token=hf_token) @@ -75 +75 @@ def get_splits_response( - split_full_names = get_dataset_split_full_names(dataset_name, hf_token) + split_full_names = get_dataset_split_full_names(dataset, hf_token) @@ -82,3 +82,3 @@ def get_splits_response( - dataset = split_full_name["dataset_name"] - config = split_full_name["config_name"] - split = split_full_name["split_name"] + dataset = split_full_name["dataset"] + config = split_full_name["config"] + split = split_full_name["split"] @@ -100,3 +100,3 @@ def get_splits_response( - "dataset_name": dataset, - "config_name": config, - "split_name": split, + "dataset": dataset, + "config": config, + "split": split, diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index 662122fb..0ea7ef08 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -246,3 +246,3 @@ def get_splits_response(dataset: str, num_bytes: float = None, num_examples: int - "dataset_name": dataset, - "config_name": config, - "split_name": split, + "dataset": dataset, + "config": config, + "split": split, @@ -258,0 +259,3 @@ def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any]) + "dataset": dataset, + "config": config, + "split": split, @@ -261,3 +263,0 @@ def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any]) - "dataset": dataset, - "config": config, - "split": split, @@ -272,3 +271,0 @@ def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any]) - "dataset": dataset, - "config": config, - "split": split, diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index e4b1220e..f04b9a43 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -38,3 +38,3 @@ def test_number_rows( - dataset_name=dataset, - config_name=config, - split_name=split, + dataset=dataset, + config=config, + split=split, @@ -50,3 +50,3 @@ def test_number_rows( - dataset_name=dataset, - config_name=config, - split_name=split, + dataset=dataset, + config=config, + split=split,
442742795bde7895c9b53d4cc101bf6528a7708f
Sylvain Lesage
2022-08-24T16:38:53
test: 💍 enable two tests (#519)
diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index f4481ede..e4b1220e 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -9,0 +10 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s [email protected] @@ -16,3 +17,2 @@ from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_s - # TODO: re-enable both when https://github.com/huggingface/datasets/issues/4875 is fixed - # ("gated", True, None, None), - # ("private", True, None, None), # <- TODO: should we disable accessing private datasets? + ("gated", True, None, None), + ("private", True, None, None), # <- TODO: should we disable accessing private datasets?
53d5e445c7fbfe4a9061afe39e7d379ba642ffd1
Sylvain Lesage
2022-08-24T16:24:59
Use fixtures in tests (#515)
diff --git a/.github/workflows/_unit-tests-python.yml b/.github/workflows/_unit-tests-python.yml index 9237554f..0d8f4087 100644 --- a/.github/workflows/_unit-tests-python.yml +++ b/.github/workflows/_unit-tests-python.yml @@ -12,2 +11,0 @@ on: - hf-token: - required: false @@ -70 +68,2 @@ jobs: - HF_TOKEN: ${{ secrets.hf-token}} + HF_TOKEN: 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 + HF_ENDPOINT: https://hub-ci.huggingface.co diff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml index 6caddd49..f464bfb8 100644 --- a/.github/workflows/s-worker.yml +++ b/.github/workflows/s-worker.yml @@ -27 +26,0 @@ jobs: - hf-token: ${{ secrets.HF_TOKEN }} diff --git a/services/admin/Makefile b/services/admin/Makefile index 1d4bddd1..c6a51eb8 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -5,0 +6 @@ export TEST_COMPOSE_PROJECT_NAME := admin +export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co diff --git a/services/admin/tests/conftest.py b/services/admin/tests/conftest.py new file mode 100644 index 00000000..88142e18 --- /dev/null +++ b/services/admin/tests/conftest.py @@ -0,0 +1,2 @@ +# Import fixture modules as plugins +pytest_plugins = ["tests.fixtures.hub"] diff --git a/services/admin/tests/fixtures/__init__.py b/services/admin/tests/fixtures/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/admin/tests/fixtures/hub.py b/services/admin/tests/fixtures/hub.py new file mode 100644 index 00000000..f6563e85 --- /dev/null +++ b/services/admin/tests/fixtures/hub.py @@ -0,0 +1,199 @@ +# Adapted from https://github.com/huggingface/datasets/blob/main/tests/fixtures/hub.py + +import time +from contextlib import contextmanager, suppress +from typing import Dict, Iterable, Literal, Optional, TypedDict + +import pytest +import requests +from huggingface_hub.hf_api import ( # type: ignore + REPO_TYPES, + REPO_TYPES_URL_PREFIXES, + HfApi, + HfFolder, + _raise_for_status, +) + +# see https://github.com/huggingface/moon-landing/blob/main/server/scripts/staging-seed-db.ts +CI_HUB_USER = "__DUMMY_DATASETS_SERVER_USER__" +CI_HUB_USER_API_TOKEN = "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" + +CI_HUB_ENDPOINT = "https://hub-ci.huggingface.co" +CI_HUB_DATASETS_URL = CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}" + + +def update_repo_settings( + hf_api: HfApi, + repo_id: str, + *, + private: Optional[bool] = None, + gated: Optional[bool] = None, + token: Optional[str] = None, + organization: Optional[str] = None, + repo_type: Optional[str] = None, + name: str = None, +) -> Dict[str, bool]: + """Update the settings of a repository. + Args: + repo_id (`str`, *optional*): + A namespace (user or an organization) and a repo name separated + by a `/`. + <Tip> + Version added: 0.5 + </Tip> + private (`bool`, *optional*, defaults to `None`): + Whether the repo should be private. + gated (`bool`, *optional*, defaults to `None`): + Whether the repo should request user access. + token (`str`, *optional*): + An authentication token (See https://huggingface.co/settings/token) + repo_type (`str`, *optional*): + Set to `"dataset"` or `"space"` if uploading to a dataset or + space, `None` or `"model"` if uploading to a model. Default is + `None`. + Returns: + The HTTP response in json. + <Tip> + Raises the following errors: + - [`~huggingface_hub.utils.RepositoryNotFoundError`] + If the repository to download from cannot be found. This may be because it doesn't exist, + or because it is set to `private` and you do not have access. + </Tip> + """ + if repo_type not in REPO_TYPES: + raise ValueError("Invalid repo type") + + organization, name = repo_id.split("/") if "/" in repo_id else (None, repo_id) + + token, name = hf_api._validate_or_retrieve_token(token, name, function_name="update_repo_settings") + + if organization is None: + namespace = hf_api.whoami(token)["name"] + else: + namespace = organization + + path_prefix = f"{hf_api.endpoint}/api/" + if repo_type in REPO_TYPES_URL_PREFIXES: + path_prefix += REPO_TYPES_URL_PREFIXES[repo_type] + + path = f"{path_prefix}{namespace}/{name}/settings" + + json = {} + if private is not None: + json["private"] = private + if gated is not None: + json["gated"] = gated + + r = requests.put( + path, + headers={"authorization": f"Bearer {token}"}, + json=json, + ) + _raise_for_status(r) + return r.json() + + [email protected] +def set_ci_hub_access_token() -> Iterable[None]: + _api = HfApi(endpoint=CI_HUB_ENDPOINT) + _api.set_access_token(CI_HUB_USER_API_TOKEN) + HfFolder.save_token(CI_HUB_USER_API_TOKEN) + yield + HfFolder.delete_token() + _api.unset_access_token() + + [email protected](scope="session") +def hf_api(): + return HfApi(endpoint=CI_HUB_ENDPOINT) + + [email protected](scope="session") +def hf_token(hf_api: HfApi) -> Iterable[str]: + hf_api.set_access_token(CI_HUB_USER_API_TOKEN) + HfFolder.save_token(CI_HUB_USER_API_TOKEN) + yield CI_HUB_USER_API_TOKEN + with suppress(requests.exceptions.HTTPError): + hf_api.unset_access_token() + + [email protected] +def cleanup_repo(hf_api: HfApi): + def _cleanup_repo(repo_id): + hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_API_TOKEN, repo_type="dataset") + + return _cleanup_repo + + [email protected] +def temporary_repo(cleanup_repo): + @contextmanager + def _temporary_repo(repo_id): + try: + yield repo_id + finally: + cleanup_repo(repo_id) + + return _temporary_repo + + +def create_unique_repo_name(prefix: str, user: str) -> str: + repo_name = f"{prefix}-{int(time.time() * 10e3)}" + return f"{user}/{repo_name}" + + +def create_hf_dataset_repo( + hf_api: HfApi, hf_token: str, prefix: str, *, private=False, gated=False, user=CI_HUB_USER +) -> str: + repo_id = create_unique_repo_name(prefix, user) + hf_api.create_repo(repo_id=repo_id, token=hf_token, repo_type="dataset", private=private) + if gated: + update_repo_settings(hf_api, repo_id, token=hf_token, gated=gated, repo_type="dataset") + return repo_id + + +# https://docs.pytest.org/en/6.2.x/fixture.html#yield-fixtures-recommended [email protected](scope="session", autouse=True) +def hf_public_dataset_repo_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]: + repo_id = create_hf_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="repo_empty") + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hf_gated_dataset_repo_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]: + repo_id = create_hf_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="repo_empty", gated=True) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hf_private_dataset_repo_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]: + repo_id = create_hf_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="repo_empty", private=True) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + +class DatasetRepos(TypedDict): + public: str + private: str + gated: str + + +DatasetReposType = Literal["public", "private", "gated"] + + [email protected](scope="session", autouse=True) +def hf_dataset_repos_csv_data( + hf_public_dataset_repo_empty, + hf_gated_dataset_repo_empty, + hf_private_dataset_repo_empty, +) -> DatasetRepos: + return { + "public": hf_public_dataset_repo_empty, + "private": hf_private_dataset_repo_empty, + "gated": hf_gated_dataset_repo_empty, + } diff --git a/services/admin/tests/scripts/__init__.py b/services/admin/tests/scripts/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py index bb5bfea1..75737eda 100644 --- a/services/admin/tests/scripts/test_refresh_cache_canonical.py +++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py @@ -2,0 +3 @@ from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names +from ..fixtures.hub import DatasetRepos @@ -4,2 +5,2 @@ from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names -# get_dataset_names -def test_get_hf_canonical_dataset_names() -> None: + +def test_get_hf_canonical_dataset_names(hf_dataset_repos_csv_data: DatasetRepos) -> None: @@ -7,3 +8,6 @@ def test_get_hf_canonical_dataset_names() -> None: - assert len(dataset_names) > 100 - assert "glue" in dataset_names - assert "Helsinki-NLP/tatoeba_mt" not in dataset_names + assert len(dataset_names) >= 0 + # ^ TODO: have some canonical datasets in the hub-ci instance + # with the current fixture user we are not able to create canonical datasets + assert hf_dataset_repos_csv_data["public"] not in dataset_names + assert hf_dataset_repos_csv_data["gated"] not in dataset_names + assert hf_dataset_repos_csv_data["private"] not in dataset_names diff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py index 589b784f..effe08f7 100644 --- a/services/admin/tests/scripts/test_warm_cache.py +++ b/services/admin/tests/scripts/test_warm_cache.py @@ -2,0 +3,2 @@ from admin.scripts.warm_cache import get_hf_dataset_names +from ..fixtures.hub import DatasetRepos + @@ -5 +7 @@ from admin.scripts.warm_cache import get_hf_dataset_names -def test_get_hf_dataset_names() -> None: +def test_get_hf_dataset_names(hf_dataset_repos_csv_data: DatasetRepos) -> None: @@ -7,3 +9,4 @@ def test_get_hf_dataset_names() -> None: - assert len(dataset_names) > 1000 - assert "glue" in dataset_names - assert "Helsinki-NLP/tatoeba_mt" in dataset_names + assert len(dataset_names) >= 2 + assert hf_dataset_repos_csv_data["public"] in dataset_names + assert hf_dataset_repos_csv_data["gated"] in dataset_names + assert hf_dataset_repos_csv_data["private"] not in dataset_names diff --git a/services/api/Makefile b/services/api/Makefile index eeb62016..5eebae2d 100644 --- a/services/api/Makefile +++ b/services/api/Makefile @@ -5,0 +6 @@ export TEST_COMPOSE_PROJECT_NAME := api +export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index aa97236e..6508fab7 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -102,18 +101,0 @@ def test_get_is_valid(client: TestClient) -> None: - # TODO: move to e2e tests - # dataset = "acronym_identification" - # split_full_names = refresh_dataset_split_full_names(dataset) - # for split_full_name in split_full_names: - # refresh_split( - # split_full_name["dataset_name"], - # split_full_name["config_name"], - # split_full_name["split_name"], - # rows_max_bytes=ROWS_MAX_BYTES, - # rows_max_number=ROWS_MAX_NUMBER, - # rows_min_number=ROWS_MIN_NUMBER, - # ) - # response = client.get("/is-valid", params={"dataset": "acronym_identification"}) - # assert response.status_code == 200 - # json = response.json() - # assert "valid" in json - # assert json["valid"] is True - @@ -162,33 +143,0 @@ def test_get_splits(client: TestClient) -> None: - # TODO: move to e2e tests - # dataset = "acronym_identification" - # refresh_dataset_split_full_names(dataset) - # response = client.get("/splits", params={"dataset": dataset}) - # assert response.status_code == 200 - # json = response.json() - # splitItems = json["splits"] - # assert len(splitItems) == 3 - # split = splitItems[0] - # assert split["dataset"] == dataset - # assert split["config"] == "default" - # assert split["split"] == "train" - - # # uses the fallback to call "builder._split_generators" - # # while https://github.com/huggingface/datasets/issues/2743 - # dataset = "hda_nli_hindi" - # refresh_dataset_split_full_names(dataset) - # response = client.get("/splits", params={"dataset": dataset}) - # assert response.status_code == 200 - # json = response.json() - # splits = [s["split"] for s in json["splits"]] - # assert len(splits) == 3 - # assert "train" in splits - # assert "validation" in splits - # assert "test" in splits - - # # not found - # dataset = "doesnotexist" - # with pytest.raises(Status400Error): - # refresh_dataset_split_full_names(dataset) - # response = client.get("/splits", params={"dataset": dataset}) - # assert response.status_code == 400 - @@ -241,37 +189,0 @@ def test_get_rows(client: TestClient) -> None: - # TODO: move to e2e tests - # # dataset = "acronym_identification" - # # config = "default" - # # split = "train" - # # refresh_split( - # # dataset, - # # config, - # # split, - # # rows_max_bytes=ROWS_MAX_BYTES, - # # rows_max_number=ROWS_MAX_NUMBER, - # # rows_min_number=ROWS_MIN_NUMBER, - # # ) - # # response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) - # # assert response.status_code == 200 - # # json = response.json() - # # rowItems = json["rows"] - # # assert len(rowItems) > 3 - # # rowItem = rowItems[0] - # # assert rowItem["dataset"] == dataset - # # assert rowItem["config"] == config - # # assert rowItem["split"] == split - # # assert rowItem["row"]["tokens"][0] == "What" - - # # assert len(json["columns"]) == 3 - # # column_item = json["columns"][0] - # # assert "dataset" in column_item - # # assert "config" in column_item - # # assert "column_idx" in column_item - # # column = column_item["column"] - # # assert column["name"] == "id" - # # assert column["type"] == "STRING" - - # missing parameter - # response = client.get("/rows", params={"dataset": dataset, "config": config}) - # assert response.status_code == 400 - # response = client.get("/rows", params={"dataset": dataset}) - # assert response.status_code == 400 @@ -286,41 +197,0 @@ def test_get_rows(client: TestClient) -> None: -# TODO: move to e2e tests -# def test_datetime_content(client: TestClient) -> None: -# dataset = "allenai/c4" -# config = "allenai--c4" -# split = "train" -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# assert response.status_code == 400 - -# refresh_split( -# dataset, -# config, -# split, -# rows_max_bytes=ROWS_MAX_BYTES, -# rows_max_number=ROWS_MAX_NUMBER, -# rows_min_number=ROWS_MIN_NUMBER, -# ) - -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# assert response.status_code == 200 - -# TODO: move to e2e tests -# def test_bytes_limit(client: TestClient) -> None: -# dataset = "edbeeching/decision_transformer_gym_replay" -# config = "hopper-expert-v2" -# split = "train" -# refresh_split( -# dataset, -# config, -# split, -# rows_max_bytes=ROWS_MAX_BYTES, -# rows_max_number=ROWS_MAX_NUMBER, -# rows_min_number=ROWS_MIN_NUMBER, -# ) -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# assert response.status_code == 200 -# # json = response.json() -# # rowItems = json["rows"] -# # assert len(rowItems) == 3 -# # TODO: re-enable and fix the test after the refactoring - - @@ -389,94 +259,0 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None: -# def test_split_cache_refreshing(client: TestClient) -> None: -# dataset = "acronym_identification" -# config = "default" -# split = "train" -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# assert response.json()["message"] == "The split does not exist." -# add_split_job(dataset, config, split) -# create_or_mark_split_as_stale({"dataset_name": dataset, "config_name": config, "split_name": split}, 0) -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# assert response.json()["message"] == "The split is being processed. Retry later." - - -# TODO: move to e2e tests -# def test_error_messages(client: TestClient) -> None: -# # https://github.com/huggingface/datasets-server/issues/196 -# dataset = "acronym_identification" -# config = "default" -# split = "train" - -# response = client.get("/splits", params={"dataset": dataset}) -# # ^ equivalent to -# # curl http://localhost:8000/splits\?dataset\=acronym_identification -# assert response.json()["message"] == "The dataset does not exist." - -# client.post("/webhook", json={"update": f"datasets/{dataset}"}) -# # ^ equivalent to -# # curl -X POST http://localhost:8000/webhook -H 'Content-Type: application/json' \ -# # -d '{"update": "datasets/acronym_identification"}' - -# response = client.get("/splits", params={"dataset": dataset}) -# # ^ equivalent to -# # curl http://localhost:8000/splits\?dataset\=acronym_identification -# assert response.json()["message"] == "The dataset is being processed. Retry later." - -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# # ^ equivalent to -# # curl http://localhost:8000/rows\?dataset\=acronym_identification\&config\=default\&split\=train -# assert response.json()["message"] == "The dataset is being processed. Retry later." - -# # simulate dataset worker -# # ^ equivalent to -# # WORKER_QUEUE=datasets make worker -# # part A -# job_id, dataset_name = get_dataset_job() -# split_full_names = refresh_dataset_split_full_names(dataset_name=dataset_name) - -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# # ^ equivalent to -# # curl http://localhost:8000/rows\?dataset\=acronym_identification\&config\=default\&split\=train -# assert response.status_code == 500 -# assert response.json()["message"] == "The split cache is empty but no job has been launched." - -# # part B -# for split_full_name in split_full_names: -# add_split_job(split_full_name["dataset_name"], split_full_name["config_name"], split_full_name["split_name"]) -# finish_dataset_job(job_id, success=True) - -# response = client.get("/splits", params={"dataset": dataset}) -# # ^ equivalent to -# # curl http://localhost:8000/splits\?dataset\=acronym_identification -# assert response.status_code == 200 -# assert response.json()["splits"][0] == { -# "dataset": dataset, -# "config": config, -# "split": split, -# "num_bytes": None, -# "num_examples": None, -# } - -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# # ^ equivalent to -# # curl http://localhost:8000/rows\?dataset\=acronym_identification\&config\=default\&split\=train -# assert response.json()["message"] == "The split is being processed. Retry later." - -# refresh_split( -# dataset_name=dataset, -# config_name=config, -# split_name=split, -# rows_max_bytes=ROWS_MAX_BYTES, -# rows_max_number=ROWS_MAX_NUMBER, -# rows_min_number=ROWS_MIN_NUMBER, -# ) -# finish_split_job(job_id, success=True) -# # ^ equivalent to -# # WORKER_QUEUE=splits make worker - -# response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) -# # ^ equivalent to -# # curl http://localhost:8000/rows\?dataset\=acronym_identification\&config\=default\&split\=train - -# assert response.status_code == 200 -# assert len(response.json()["rows"]) > 0 - - @@ -493,3 +269,0 @@ def test_metrics(client: TestClient) -> None: - # Disable for now - see https://github.com/huggingface/datasets-server/issues/250#issuecomment-1135561566 - # assert 'queue_jobs_total{queue="datasets",status="waiting"}' in metrics - # assert 'cache_entries_total{cache="datasets",status="empty"}' in metrics diff --git a/services/worker/Makefile b/services/worker/Makefile index aae0dd9d..45aeeaf7 100644 --- a/services/worker/Makefile +++ b/services/worker/Makefile @@ -6,0 +7,2 @@ export TEST_COMPOSE_PROJECT_NAME := worker +export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co +export TEST_HF_TOKEN := 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 diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 3ac114b2..c9766319 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -59,0 +60 @@ requires = ["poetry-core>=1.0.0"] +addopts = "-k 'not deprecated'" @@ -60,0 +62,5 @@ filterwarnings = ["ignore::DeprecationWarning"] +markers = [ + "deprecated: tests on deprecated code (deselect with '-m \"not deprecated\"')", + "real_dataset: tests on real datasets (from the Hub)", + "wip: tests being developed" +] diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py index 7ab1fcf9..8ec65149 100644 --- a/services/worker/tests/conftest.py +++ b/services/worker/tests/conftest.py @@ -2 +1,0 @@ import os -from pathlib import Path @@ -4 +3 @@ from pathlib import Path -import pytest +from .utils import HF_ENDPOINT @@ -6,6 +5,2 @@ import pytest -from ._utils import HF_ENDPOINT - - [email protected](scope="session") -def config(): - return {"image_file": str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg")} +# Import fixture modules as plugins +pytest_plugins = ["tests.fixtures.datasets", "tests.fixtures.files", "tests.fixtures.hub"] diff --git a/services/worker/tests/deprecated/models/test_column.py b/services/worker/tests/deprecated/models/test_column.py index bece4baf..68675ba5 100644 --- a/services/worker/tests/deprecated/models/test_column.py +++ b/services/worker/tests/deprecated/models/test_column.py @@ -0,0 +1,2 @@ +import pytest + @@ -5,0 +8,2 @@ from worker.deprecated.models.info import get_info +pytestmark = pytest.mark.deprecated + diff --git a/services/worker/tests/deprecated/models/test_dataset.py b/services/worker/tests/deprecated/models/test_dataset.py index 6647c7ff..8d225b90 100644 --- a/services/worker/tests/deprecated/models/test_dataset.py +++ b/services/worker/tests/deprecated/models/test_dataset.py @@ -6 +6,2 @@ from worker.deprecated.models.dataset import get_dataset_split_full_names -# from ..._utils import HF_TOKEN +# from ...utils import HF_TOKEN +pytestmark = pytest.mark.deprecated diff --git a/services/worker/tests/deprecated/models/test_info.py b/services/worker/tests/deprecated/models/test_info.py index 8c2a3ac2..b0c4c0e3 100644 --- a/services/worker/tests/deprecated/models/test_info.py +++ b/services/worker/tests/deprecated/models/test_info.py @@ -0,0 +1,2 @@ +import pytest + @@ -2,0 +5,2 @@ from worker.deprecated.models.info import get_info +pytestmark = pytest.mark.deprecated + diff --git a/services/worker/tests/deprecated/models/test_row.py b/services/worker/tests/deprecated/models/test_row.py index b3275c76..ce902d6d 100644 --- a/services/worker/tests/deprecated/models/test_row.py +++ b/services/worker/tests/deprecated/models/test_row.py @@ -0,0 +1 @@ +import pytest @@ -5 +6,3 @@ from worker.deprecated.models.row import get_rows -from ..._utils import ROWS_MAX_NUMBER +from ...utils import ROWS_MAX_NUMBER + +pytestmark = pytest.mark.deprecated diff --git a/services/worker/tests/deprecated/models/test_split.py b/services/worker/tests/deprecated/models/test_split.py index 9fdce8d2..e53d3120 100644 --- a/services/worker/tests/deprecated/models/test_split.py +++ b/services/worker/tests/deprecated/models/test_split.py @@ -1 +1 @@ -# import pandas # type: ignore +import pytest @@ -5 +5,4 @@ from worker.deprecated.models.split import get_split -from ..._utils import HF_TOKEN, ROWS_MAX_NUMBER +from ...utils import HF_TOKEN, ROWS_MAX_NUMBER + +# import pandas # type: ignore + @@ -8,0 +12,2 @@ from ..._utils import HF_TOKEN, ROWS_MAX_NUMBER +pytestmark = pytest.mark.deprecated + diff --git a/services/worker/tests/deprecated/test_main.py b/services/worker/tests/deprecated/test_main.py index 6d8de6bd..59ae8d26 100644 --- a/services/worker/tests/deprecated/test_main.py +++ b/services/worker/tests/deprecated/test_main.py @@ -10 +10,3 @@ from worker.main import process_next_dataset_job, process_next_split_job -from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL +from ..utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL + +pytestmark = pytest.mark.deprecated diff --git a/services/worker/tests/deprecated/test_refresh.py b/services/worker/tests/deprecated/test_refresh.py index 01d3d57b..eda00e09 100644 --- a/services/worker/tests/deprecated/test_refresh.py +++ b/services/worker/tests/deprecated/test_refresh.py @@ -12 +12,3 @@ from worker.deprecated.refresh import refresh_dataset, refresh_split -from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL +from ..utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL + +pytestmark = pytest.mark.deprecated diff --git a/services/worker/tests/fixtures/__init__.py b/services/worker/tests/fixtures/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/worker/tests/data/test_image_rgb.jpg b/services/worker/tests/fixtures/data/test_image_rgb.jpg similarity index 100% rename from services/worker/tests/data/test_image_rgb.jpg rename to services/worker/tests/fixtures/data/test_image_rgb.jpg diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py new file mode 100644 index 00000000..d2c42173 --- /dev/null +++ b/services/worker/tests/fixtures/datasets.py @@ -0,0 +1,85 @@ +import datetime +from pathlib import Path +from typing import Any, Dict + +import numpy as np +import pandas as pd # type: ignore +import pytest +from datasets import ( + Array2D, + Array3D, + Array4D, + Array5D, + Audio, + ClassLabel, + Dataset, + Features, + Image, + Sequence, + Translation, + TranslationVariableLanguages, + Value, +) +from datasets.features.features import FeatureType + + +def value(content: Any, dtype: Any) -> Dataset: + return Dataset.from_pandas(pd.DataFrame({"col": [content]}, dtype=dtype)) + + +def other(content: Any, feature_type: FeatureType = None) -> Dataset: + return ( + Dataset.from_dict({"col": [content]}) + if feature_type is None + else Dataset.from_dict({"col": [content]}, features=Features({"col": feature_type})) + ) + + [email protected](scope="session") +def datasets() -> Dict[str, Dataset]: + sampling_rate = 16_000 + return { + # Value feature + "null": value(None, None), + "bool": value(False, pd.BooleanDtype()), + "int8": value(-7, pd.Int8Dtype()), + "int16": value(-7, pd.Int16Dtype()), + "int32": value(-7, pd.Int32Dtype()), + "int64": value(-7, pd.Int64Dtype()), + "uint8": value(7, pd.UInt8Dtype()), + "uint16": value(7, pd.UInt16Dtype()), + "uint32": value(7, pd.UInt32Dtype()), + "uint64": value(7, pd.UInt64Dtype()), + "float16": value(-3.14, np.float16), + "float32": value(-3.14, np.float32), + "float64": value(-3.14, np.float64), + "time": value(datetime.time(1, 1, 1), None), + "timestamp_1": value(pd.Timestamp(2020, 1, 1), None), + "timestamp_2": value(pd.Timestamp(1513393355.5, unit="s"), None), + "timestamp_3": value(pd.Timestamp(1513393355500, unit="ms"), None), + "timestamp_tz": value(pd.Timestamp(year=2020, month=1, day=1, tz="US/Pacific"), None), + "string": value("a string", pd.StringDtype()), + # other types of features + "class_label": other("positive", ClassLabel(names=["negative", "positive"])), + "dict": other({"a": 0}, None), + "list": other([{"a": 0}], None), + "sequence_simple": other([0], None), + "sequence": other([{"a": 0}], Sequence(feature={"a": Value(dtype="int64")})), + "sequence_audio": other( + [ + {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, + ], + Sequence(feature=Audio()), + ), + "array2d": other(np.zeros((2, 2), dtype="float32"), Array2D(shape=(2, 2), dtype="float32")), + "array3d": other(np.zeros((2, 2, 2), dtype="float32"), Array3D(shape=(2, 2, 2), dtype="float32")), + "array4d": other(np.zeros((2, 2, 2, 2), dtype="float32"), Array4D(shape=(2, 2, 2, 2), dtype="float32")), + "array5d": other(np.zeros((2, 2, 2, 2, 2), dtype="float32"), Array5D(shape=(2, 2, 2, 2, 2), dtype="float32")), + "audio": other({"array": [0.1, 0.2, 0.3], "sampling_rate": sampling_rate}, Audio(sampling_rate=sampling_rate)), + "image": other(str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg"), Image()), + "translation": other({"en": "the cat", "fr": "le chat"}, Translation(languages=["en", "fr"])), + "translation_variable_languages": other( + {"en": "the cat", "fr": ["le chat", "la chatte"]}, + TranslationVariableLanguages(languages=["en", "fr"]), + ), + } diff --git a/services/worker/tests/fixtures/files.py b/services/worker/tests/fixtures/files.py new file mode 100644 index 00000000..97a6b2e3 --- /dev/null +++ b/services/worker/tests/fixtures/files.py @@ -0,0 +1,21 @@ +import csv + +import pytest + +DATA = [ + {"col_1": "0", "col_2": 0, "col_3": 0.0}, + {"col_1": "1", "col_2": 1, "col_3": 1.0}, + {"col_1": "2", "col_2": 2, "col_3": 2.0}, + {"col_1": "3", "col_2": 3, "col_3": 3.0}, +] + + [email protected](scope="session") +def csv_path(tmp_path_factory: pytest.TempPathFactory) -> str: + path = str(tmp_path_factory.mktemp("data") / "dataset.csv") + with open(path, "w", newline="") as f: + writer = csv.DictWriter(f, fieldnames=["col_1", "col_2", "col_3"]) + writer.writeheader() + for item in DATA: + writer.writerow(item) + return path diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py new file mode 100644 index 00000000..662122fb --- /dev/null +++ b/services/worker/tests/fixtures/hub.py @@ -0,0 +1,389 @@ +# Adapted from https://github.com/huggingface/datasets/blob/main/tests/fixtures/hub.py + +import time +from contextlib import contextmanager, suppress +from pathlib import Path +from typing import Any, Dict, Iterable, List, Optional, TypedDict + +import pytest +import requests +from datasets import Dataset +from huggingface_hub.hf_api import ( # type: ignore + REPO_TYPES, + REPO_TYPES_URL_PREFIXES, + HfApi, + HfFolder, + _raise_for_status, +) + +from ..utils import get_default_config_split + +# see https://github.com/huggingface/moon-landing/blob/main/server/scripts/staging-seed-db.ts +CI_HUB_USER = "__DUMMY_DATASETS_SERVER_USER__" +CI_HUB_USER_API_TOKEN = "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" + +CI_HUB_ENDPOINT = "https://hub-ci.huggingface.co" +CI_HUB_DATASETS_URL = CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}" + + +def update_repo_settings( + hf_api: HfApi, + repo_id: str, + *, + private: Optional[bool] = None, + gated: Optional[bool] = None, + token: Optional[str] = None, + organization: Optional[str] = None, + repo_type: Optional[str] = None, + name: str = None, +) -> Dict[str, bool]: + """Update the settings of a repository. + Args: + repo_id (`str`, *optional*): + A namespace (user or an organization) and a repo name separated + by a `/`. + <Tip> + Version added: 0.5 + </Tip> + private (`bool`, *optional*, defaults to `None`): + Whether the repo should be private. + gated (`bool`, *optional*, defaults to `None`): + Whether the repo should request user access. + token (`str`, *optional*): + An authentication token (See https://huggingface.co/settings/token) + repo_type (`str`, *optional*): + Set to `"dataset"` or `"space"` if uploading to a dataset or + space, `None` or `"model"` if uploading to a model. Default is + `None`. + Returns: + The HTTP response in json. + <Tip> + Raises the following errors: + - [`~huggingface_hub.utils.RepositoryNotFoundError`] + If the repository to download from cannot be found. This may be because it doesn't exist, + or because it is set to `private` and you do not have access. + </Tip> + """ + if repo_type not in REPO_TYPES: + raise ValueError("Invalid repo type") + + organization, name = repo_id.split("/") if "/" in repo_id else (None, repo_id) + + token, name = hf_api._validate_or_retrieve_token(token, name, function_name="update_repo_settings") + + if organization is None: + namespace = hf_api.whoami(token)["name"] + else: + namespace = organization + + path_prefix = f"{hf_api.endpoint}/api/" + if repo_type in REPO_TYPES_URL_PREFIXES: + path_prefix += REPO_TYPES_URL_PREFIXES[repo_type] + + path = f"{path_prefix}{namespace}/{name}/settings" + + json = {} + if private is not None: + json["private"] = private + if gated is not None: + json["gated"] = gated + + r = requests.put( + path, + headers={"authorization": f"Bearer {token}"}, + json=json, + ) + _raise_for_status(r) + return r.json() + + [email protected] +def set_ci_hub_access_token() -> Iterable[None]: + _api = HfApi(endpoint=CI_HUB_ENDPOINT) + _api.set_access_token(CI_HUB_USER_API_TOKEN) + HfFolder.save_token(CI_HUB_USER_API_TOKEN) + yield + HfFolder.delete_token() + _api.unset_access_token() + + [email protected](scope="session") +def hf_api(): + return HfApi(endpoint=CI_HUB_ENDPOINT) + + [email protected](scope="session") +def hf_token(hf_api: HfApi) -> Iterable[str]: + hf_api.set_access_token(CI_HUB_USER_API_TOKEN) + HfFolder.save_token(CI_HUB_USER_API_TOKEN) + yield CI_HUB_USER_API_TOKEN + with suppress(requests.exceptions.HTTPError): + hf_api.unset_access_token() + + [email protected] +def cleanup_repo(hf_api: HfApi): + def _cleanup_repo(repo_id): + hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_API_TOKEN, repo_type="dataset") + + return _cleanup_repo + + [email protected] +def temporary_repo(cleanup_repo): + @contextmanager + def _temporary_repo(repo_id): + try: + yield repo_id + finally: + cleanup_repo(repo_id) + + return _temporary_repo + + +def create_unique_repo_name(prefix: str, user: str) -> str: + repo_name = f"{prefix}-{int(time.time() * 10e3)}" + return f"{user}/{repo_name}" + + +def create_hub_dataset_repo( + *, + hf_api: HfApi, + hf_token: str, + prefix: str, + file_paths: List[str] = None, + dataset: Dataset = None, + private=False, + gated=False, + user=CI_HUB_USER, +) -> str: + repo_id = create_unique_repo_name(prefix, user) + if dataset is not None: + dataset.push_to_hub(repo_id=repo_id, private=private, token=hf_token, embed_external_files=True) + else: + hf_api.create_repo(repo_id=repo_id, token=hf_token, repo_type="dataset", private=private) + if gated: + update_repo_settings(hf_api, repo_id, token=hf_token, gated=gated, repo_type="dataset") + if file_paths is not None: + for file_path in file_paths: + hf_api.upload_file( + token=hf_token, + path_or_fileobj=file_path, + path_in_repo=Path(file_path).name, + repo_id=repo_id, + repo_type="dataset", + ) + return repo_id + + +# https://docs.pytest.org/en/6.2.x/fixture.html#yield-fixtures-recommended [email protected](scope="session", autouse=True) +def hub_public_empty(hf_api: HfApi, hf_token: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="empty") + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_public_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="csv", file_paths=[csv_path]) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_private_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo( + hf_api=hf_api, hf_token=hf_token, prefix="csv_private", file_paths=[csv_path], private=True + ) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_gated_csv(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hub_dataset_repo( + hf_api=hf_api, hf_token=hf_token, prefix="csv_gated", file_paths=[csv_path], gated=True + ) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_public_audio(hf_api: HfApi, hf_token: str, datasets: Dict[str, Dataset]) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="audio", dataset=datasets["audio"]) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hub_public_image(hf_api: HfApi, hf_token: str, datasets: Dict[str, Dataset]) -> Iterable[str]: + repo_id = create_hub_dataset_repo(hf_api=hf_api, hf_token=hf_token, prefix="image", dataset=datasets["image"]) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + +class HubDatasetTest(TypedDict): + name: str + splits_response: Any + first_rows_response: Any + + +HubDatasets = Dict[str, HubDatasetTest] + + +def get_splits_response(dataset: str, num_bytes: float = None, num_examples: int = None): + dataset, config, split = get_default_config_split(dataset) + return { + "splits": [ + { + "dataset_name": dataset, + "config_name": config, + "split_name": split, + "num_bytes": num_bytes, + "num_examples": num_examples, + } + ] + } + + +def get_first_rows_response(dataset: str, cols: Dict[str, Any], rows: List[Any]): + dataset, config, split = get_default_config_split(dataset) + return { + "features": [ + { + "dataset": dataset, + "config": config, + "split": split, + "feature_idx": feature_idx, + "name": name, + "type": type, + } + for feature_idx, (name, type) in enumerate(cols.items()) + ], + "rows": [ + { + "dataset": dataset, + "config": config, + "split": split, + "row_idx": row_idx, + "truncated_cells": [], + "row": row, + } + for row_idx, row in enumerate(rows) + ], + } + + +# # column = "col" + +DATA_cols = { + "col_1": {"_type": "Value", "id": None, "dtype": "int64"}, + "col_2": {"_type": "Value", "id": None, "dtype": "int64"}, + "col_3": {"_type": "Value", "id": None, "dtype": "float64"}, +} +DATA_rows = [ + {"col_1": 0, "col_2": 0, "col_3": 0.0}, + {"col_1": 1, "col_2": 1, "col_3": 1.0}, + {"col_1": 2, "col_2": 2, "col_3": 2.0}, + {"col_1": 3, "col_2": 3, "col_3": 3.0}, +] + +AUDIO_cols = { + "col": { + "_type": "Audio", + "decode": True, + "id": None, + "mono": True, + "sampling_rate": 16_000, + }, +} + + +def get_AUDIO_rows(dataset: str): + dataset, config, split = get_default_config_split(dataset) + return [ + { + "col": [ + { + "src": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/audio.mp3", + "type": "audio/mpeg", + }, + { + "src": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/audio.wav", + "type": "audio/wav", + }, + ] + } + ] + + +IMAGE_cols = { + "col": { + "_type": "Image", + "decode": True, + "id": None, + }, +} + + +def get_IMAGE_rows(dataset: str): + dataset, config, split = get_default_config_split(dataset) + return [ + { + "col": f"http://localhost/assets/{dataset}/--/{config}/{split}/0/col/image.jpg", + } + ] + + [email protected](scope="session", autouse=True) +def hub_datasets( + hub_public_empty, hub_public_csv, hub_private_csv, hub_gated_csv, hub_public_audio, hub_public_image +) -> HubDatasets: + return { + "does_not_exist": { + "name": "does_not_exist", + "splits_response": None, + "first_rows_response": None, + }, + "empty": { + "name": hub_public_empty, + "splits_response": None, + "first_rows_response": None, + }, + "public": { + "name": hub_public_csv, + "splits_response": get_splits_response(hub_public_csv, None, None), + "first_rows_response": get_first_rows_response(hub_public_csv, DATA_cols, DATA_rows), + }, + "private": { + "name": hub_private_csv, + "splits_response": get_splits_response(hub_private_csv, None, None), + "first_rows_response": get_first_rows_response(hub_private_csv, DATA_cols, DATA_rows), + }, + "gated": { + "name": hub_gated_csv, + "splits_response": get_splits_response(hub_gated_csv, None, None), + "first_rows_response": get_first_rows_response(hub_gated_csv, DATA_cols, DATA_rows), + }, + "audio": { + "name": hub_public_audio, + "splits_response": get_splits_response(hub_public_audio, 54.0, 1), + "first_rows_response": get_first_rows_response( + hub_public_audio, AUDIO_cols, get_AUDIO_rows(hub_public_audio) + ), + }, + "image": { + "name": hub_public_image, + "splits_response": get_splits_response(hub_public_image, 0, 1), + "first_rows_response": get_first_rows_response( + hub_public_image, IMAGE_cols, get_IMAGE_rows(hub_public_image) + ), + }, + } diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index 5ef6eff3..f4481ede 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -1,3 +1,2 @@ -from worker.responses.first_rows import get_first_rows_response - -from .._utils import ASSETS_BASE_URL, HF_ENDPOINT +import pytest +from libutils.exceptions import CustomError @@ -4,0 +4 @@ from .._utils import ASSETS_BASE_URL, HF_ENDPOINT +from worker.responses.first_rows import get_first_rows_response @@ -6,11 +6,2 @@ from .._utils import ASSETS_BASE_URL, HF_ENDPOINT -def test_number_rows() -> None: - rows_max_number = 7 - response = get_first_rows_response( - "duorc", - "SelfRC", - "train", - rows_max_number=rows_max_number, - assets_base_url=ASSETS_BASE_URL, - hf_endpoint=HF_ENDPOINT, - ) - assert len(response["rows"]) == rows_max_number +from ..fixtures.hub import HubDatasets +from ..utils import ASSETS_BASE_URL, HF_ENDPOINT, HF_TOKEN, get_default_config_split @@ -19 +10,24 @@ def test_number_rows() -> None: -def test_get_first_rows_response() -> None: [email protected]( + "name,use_token,error_code,cause", + [ + ("public", False, None, None), + ("audio", False, None, None), + ("image", False, None, None), + # TODO: re-enable both when https://github.com/huggingface/datasets/issues/4875 is fixed + # ("gated", True, None, None), + # ("private", True, None, None), # <- TODO: should we disable accessing private datasets? + ("empty", False, "SplitsNamesError", "FileNotFoundError"), + ("does_not_exist", False, "DatasetNotFoundError", None), + ("gated", False, "SplitsNamesError", "FileNotFoundError"), + ("private", False, "SplitsNamesError", "FileNotFoundError"), + ], +) +def test_number_rows( + hub_datasets: HubDatasets, + name: str, + use_token: bool, + error_code: str, + cause: str, +) -> None: + dataset = hub_datasets[name]["name"] + expected_first_rows_response = hub_datasets[name]["first_rows_response"] @@ -21,46 +35,39 @@ def test_get_first_rows_response() -> None: - response = get_first_rows_response( - "common_voice", - "tr", - "train", - rows_max_number=rows_max_number, - assets_base_url=ASSETS_BASE_URL, - hf_endpoint=HF_ENDPOINT, - ) - - assert response["features"][0]["feature_idx"] == 0 - assert response["features"][0]["name"] == "client_id" - assert response["features"][0]["type"]["_type"] == "Value" - assert response["features"][0]["type"]["dtype"] == "string" - - assert response["features"][2]["name"] == "audio" - assert response["features"][2]["type"]["_type"] == "Audio" - assert response["features"][2]["type"]["sampling_rate"] == 48000 - - assert len(response["rows"]) == rows_max_number - assert response["rows"][0]["row_idx"] == 0 - assert response["rows"][0]["row"]["client_id"].startswith("54fc2d015c27a057b") - assert response["rows"][0]["row"]["audio"] == [ - {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3", "type": "audio/mpeg"}, - {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav", "type": "audio/wav"}, - ] - - -def test_no_features() -> None: - response = get_first_rows_response( - "severo/fix-401", - "severo--fix-401", - "train", - rows_max_number=1, - assets_base_url=ASSETS_BASE_URL, - hf_endpoint=HF_ENDPOINT, - ) - - # TODO: re-enable when we understand why it works locally but not in the CI (order of the features) - # assert response["features"][5]["feature_idx"] == 5 - # assert response["features"][5]["name"] == "area_mean" - # assert response["features"][5]["type"]["_type"] == "Value" - # assert response["features"][5]["type"]["dtype"] == "float64" - - assert response["rows"][0]["row_idx"] == 0 - assert response["rows"][0]["row"]["diagnosis"] == "M" - assert response["rows"][0]["row"]["area_mean"] == 1001.0 + dataset, config, split = get_default_config_split(dataset) + if error_code is None: + response = get_first_rows_response( + dataset_name=dataset, + config_name=config, + split_name=split, + assets_base_url=ASSETS_BASE_URL, + hf_endpoint=HF_ENDPOINT, + hf_token=HF_TOKEN if use_token else None, + rows_max_number=rows_max_number, + ) + assert response == expected_first_rows_response + return + with pytest.raises(CustomError) as exc_info: + get_first_rows_response( + dataset_name=dataset, + config_name=config, + split_name=split, + assets_base_url=ASSETS_BASE_URL, + hf_endpoint=HF_ENDPOINT, + hf_token=HF_TOKEN if use_token else None, + rows_max_number=rows_max_number, + ) + assert exc_info.value.code == error_code + if cause is None: + assert exc_info.value.disclose_cause is False + assert exc_info.value.cause_exception is None + else: + assert exc_info.value.disclose_cause is True + assert exc_info.value.cause_exception == cause + response = exc_info.value.as_response() + assert set(response.keys()) == {"error", "cause_exception", "cause_message", "cause_traceback"} + assert response["error"] == "Cannot get the split names for the dataset." + response_dict = dict(response) + # ^ to remove mypy warnings + assert response_dict["cause_exception"] == "FileNotFoundError" + assert str(response_dict["cause_message"]).startswith("Couldn't find a dataset script at ") + assert isinstance(response_dict["cause_traceback"], list) + assert response_dict["cause_traceback"][0] == "Traceback (most recent call last):\n" diff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py index 9bba6a10..d5381a58 100644 --- a/services/worker/tests/responses/test_splits.py +++ b/services/worker/tests/responses/test_splits.py @@ -2,77 +2,67 @@ import pytest -from datasets.inspect import SplitsNotFoundError - -from worker.responses.splits import get_dataset_split_full_names, get_splits_response -from worker.utils import SplitsNamesError - -from .._utils import HF_ENDPOINT, HF_TOKEN - - -def test_script_error() -> None: - # raises "ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'" - # which should be caught and raised as DatasetBuilderScriptError - with pytest.raises(ModuleNotFoundError): - get_dataset_split_full_names(dataset_name="piEsposito/br-quad-2.0") - - -def test_no_dataset() -> None: - # the dataset does not exist - with pytest.raises(FileNotFoundError): - get_dataset_split_full_names(dataset_name="doesnotexist") - - -def test_no_dataset_no_script() -> None: - # the dataset does not contain a script - with pytest.raises(FileNotFoundError): - get_dataset_split_full_names(dataset_name="AConsApart/anime_subtitles_DialoGPT") - with pytest.raises(FileNotFoundError): - get_dataset_split_full_names(dataset_name="TimTreasure4/Test") - - -def test_builder_config_error() -> None: - with pytest.raises(SplitsNotFoundError): - get_dataset_split_full_names(dataset_name="KETI-AIR/nikl") - with pytest.raises(RuntimeError): - get_dataset_split_full_names(dataset_name="nateraw/image-folder") - with pytest.raises(TypeError): - get_dataset_split_full_names(dataset_name="Valahaar/wsdmt") - - -# get_split -def test_get_split() -> None: - split_full_names = get_dataset_split_full_names("glue") - assert len(split_full_names) == 34 - assert {"dataset_name": "glue", "config_name": "ax", "split_name": "test"} in split_full_names - - -def test_splits_fallback() -> None: - # uses the fallback to call "builder._split_generators" while https://github.com/huggingface/datasets/issues/2743 - split_full_names = get_dataset_split_full_names("hda_nli_hindi") - assert len(split_full_names) == 3 - assert {"dataset_name": "hda_nli_hindi", "config_name": "HDA nli hindi", "split_name": "train"} in split_full_names - - -# disable until https://github.com/huggingface/datasets-server/pull/499 is done -# def test_gated() -> None: -# split_full_names = get_dataset_split_full_names("severo/dummy_gated", HF_TOKEN) -# assert len(split_full_names) == 1 -# assert { -# "dataset_name": "severo/dummy_gated", -# "config_name": "severo--embellishments", -# "split_name": "train", -# } in split_full_names - - -def test_disclose_cause() -> None: - with pytest.raises(SplitsNamesError) as exc_info: - get_splits_response("akhaliq/test", HF_ENDPOINT, HF_TOKEN) - assert exc_info.value.disclose_cause is True - assert exc_info.value.cause_exception == "FileNotFoundError" - response = exc_info.value.as_response() - assert set(response.keys()) == {"error", "cause_exception", "cause_message", "cause_traceback"} - assert response["error"] == "Cannot get the split names for the dataset." - response_dict = dict(response) - # ^ to remove mypy warnings - assert response_dict["cause_exception"] == "FileNotFoundError" - assert str(response_dict["cause_message"]).startswith("Couldn't find a dataset script at ") - assert isinstance(response_dict["cause_traceback"], list) - assert response_dict["cause_traceback"][0] == "Traceback (most recent call last):\n" +from libutils.exceptions import CustomError + +from worker.responses.splits import get_splits_response + +from ..fixtures.hub import HubDatasets +from ..utils import HF_ENDPOINT, HF_TOKEN + + [email protected]( + "name,use_token,error_code,cause", + [ + ("public", False, None, None), + ("audio", False, None, None), + ("gated", True, None, None), + ("private", True, None, None), # <- TODO: should we disable accessing private datasets? + ("empty", False, "SplitsNamesError", "FileNotFoundError"), + ("does_not_exist", False, "DatasetNotFoundError", None), + ("gated", False, "SplitsNamesError", "FileNotFoundError"), + ("private", False, "SplitsNamesError", "FileNotFoundError"), + ], +) +def test_get_splits_response_simple_csv( + hub_datasets: HubDatasets, name: str, use_token: bool, error_code: str, cause: str +) -> None: + dataset = hub_datasets[name]["name"] + expected_splits_response = hub_datasets[name]["splits_response"] + if error_code is None: + splits_response = get_splits_response(dataset, HF_ENDPOINT, HF_TOKEN if use_token else None) + assert splits_response == expected_splits_response + return + + with pytest.raises(CustomError) as exc_info: + get_splits_response(dataset, HF_ENDPOINT, HF_TOKEN if use_token else None) + assert exc_info.value.code == error_code + if cause is None: + assert exc_info.value.disclose_cause is False + assert exc_info.value.cause_exception is None + else: + assert exc_info.value.disclose_cause is True + assert exc_info.value.cause_exception == cause + response = exc_info.value.as_response() + assert set(response.keys()) == {"error", "cause_exception", "cause_message", "cause_traceback"} + assert response["error"] == "Cannot get the split names for the dataset." + response_dict = dict(response) + # ^ to remove mypy warnings + assert response_dict["cause_exception"] == "FileNotFoundError" + assert str(response_dict["cause_message"]).startswith("Couldn't find a dataset script at ") + assert isinstance(response_dict["cause_traceback"], list) + assert response_dict["cause_traceback"][0] == "Traceback (most recent call last):\n" + + +# @pytest.mark.real_dataset +# def test_script_error() -> None: +# # raises "ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'" +# # which should be caught and raised as DatasetBuilderScriptError +# with pytest.raises(ModuleNotFoundError): +# get_dataset_split_full_names(dataset_name="piEsposito/br-quad-2.0") + + +# @pytest.mark.real_dataset +# def test_builder_config_error() -> None: +# with pytest.raises(SplitsNotFoundError): +# get_dataset_split_full_names(dataset_name="KETI-AIR/nikl") +# with pytest.raises(RuntimeError): +# get_dataset_split_full_names(dataset_name="nateraw/image-folder") +# with pytest.raises(TypeError): +# get_dataset_split_full_names(dataset_name="Valahaar/wsdmt") diff --git a/services/worker/tests/test_features.py b/services/worker/tests/test_features.py index b69585b9..c5974281 100644 --- a/services/worker/tests/test_features.py +++ b/services/worker/tests/test_features.py @@ -1,0 +2 @@ import datetime +from typing import Any, Dict @@ -5,2 +5,0 @@ import numpy as np -import pandas as pd # type: ignore -import pyarrow as pa # type: ignore @@ -8,15 +7 @@ import pytest -from datasets import ( - Array2D, - Array3D, - Array4D, - Array5D, - Audio, - ClassLabel, - Dataset, - Features, - Image, - Sequence, - Translation, - TranslationVariableLanguages, - Value, -) +from datasets import Dataset, Value @@ -26 +11 @@ from worker.features import get_cell_value -from ._utils import ASSETS_BASE_URL +from .utils import ASSETS_BASE_URL @@ -38 +23 @@ from ._utils import ASSETS_BASE_URL - "input_value,input_dtype,output_value,output_dtype", + "dataset_type,output_value,output_dtype", @@ -40,22 +25,11 @@ from ._utils import ASSETS_BASE_URL - # null - (None, None, None, "null"), - # bool - (False, pd.BooleanDtype(), False, "bool"), - # int8 - (-7, pd.Int8Dtype(), -7, "int8"), - # int16 - (-7, pd.Int16Dtype(), -7, "int16"), - # int32 - (-7, pd.Int32Dtype(), -7, "int32"), - # int64 - (-7, pd.Int64Dtype(), -7, "int64"), - # uint8 - (7, pd.UInt8Dtype(), 7, "uint8"), - # uint16 - (7, pd.UInt16Dtype(), 7, "uint16"), - # uint32 - (7, pd.UInt32Dtype(), 7, "uint32"), - # uint64 - (7, pd.UInt64Dtype(), 7, "uint64"), - # float16 - (-3.14, np.float16, np.float16(-3.14), "float16"), + ("null", None, "null"), + ("bool", False, "bool"), + ("int8", -7, "int8"), + ("int16", -7, "int16"), + ("int32", -7, "int32"), + ("int64", -7, "int64"), + ("uint8", 7, "uint8"), + ("uint16", 7, "uint16"), + ("uint32", 7, "uint32"), + ("uint64", 7, "uint64"), + ("float16", np.float16(-3.14), "float16"), @@ -63,2 +37,2 @@ from ._utils import ASSETS_BASE_URL - # float32 (alias float) - (-3.14, np.float32, np.float32(-3.14), "float32"), + # (alias float) + ("float32", np.float32(-3.14), "float32"), @@ -66,15 +40,8 @@ from ._utils import ASSETS_BASE_URL - # float64 (alias double) - (-3.14, np.float64, -3.14, "float64"), - # time32[(s|ms)] - # TODO - # time64[(us|ns)] - # (time(1, 1, 1), None, datetime.datetime(1, 1, 1), "time64[us]"), - # ^ TODO: add after https://github.com/huggingface/datasets/issues/4620 is fixed - # timestamp[(s|ms|us|ns)] - (pd.Timestamp(2020, 1, 1), None, datetime.datetime(2020, 1, 1, 0, 0), "timestamp[ns]"), - ( - pd.Timestamp(1513393355.5, unit="s"), - None, - datetime.datetime(2017, 12, 16, 3, 2, 35, 500000), - "timestamp[ns]", - ), + # (alias double) + ("float64", -3.14, "float64"), + # TODO: time32[(s|ms)] + # TODO: time64[(us|ns)] + ("time", datetime.time(1, 1, 1), "time64[us]"), + ("timestamp_1", datetime.datetime(2020, 1, 1, 0, 0), "timestamp[ns]"), + ("timestamp_2", datetime.datetime(2017, 12, 16, 3, 2, 35, 500000), "timestamp[ns]"), + ("timestamp_3", datetime.datetime(2017, 12, 16, 3, 2, 35, 500000), "timestamp[ns]"), @@ -82,9 +49 @@ from ._utils import ASSETS_BASE_URL - pd.Timestamp(1513393355500, unit="ms"), - None, - datetime.datetime(2017, 12, 16, 3, 2, 35, 500000), - "timestamp[ns]", - ), - # timestamp[(s|ms|us|ns), tz=(tzstring)] - ( - pd.Timestamp(year=2020, month=1, day=1, tz="US/Pacific"), - None, + "timestamp_tz", @@ -94,18 +53,9 @@ from ._utils import ASSETS_BASE_URL - # date32 - # TODO - # date64 - # TODO - # duration[(s|ms|us|ns)] - # TODO - # decimal128(precision, scale) - # TODO - # decimal256(precision, scale) - # TODO - # binary - # TODO - # large_binary - # TODO - # string - ("a string", pd.StringDtype(), "a string", "string"), - # large_string - # TODO + # TODO: date32 + # TODO: date64 + # TODO: duration[(s|ms|us|ns)] + # TODO: decimal128(precision, scale) + # TODO: decimal256(precision, scale) + # TODO: binary + # TODO: large_binary + ("string", "a string", "string"), + # TODO: large_string @@ -114,13 +64,3 @@ from ._utils import ASSETS_BASE_URL -def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - if input_dtype == "datetime64[ns]": - a = pa.array( - [ - datetime.datetime(2022, 7, 4, 3, 2, 1), - ], - type=pa.date64(), - ) - dataset = Dataset.from_buffer(a.to_buffer()) - else: - df = pd.DataFrame({"feature_name": [input_value]}, dtype=input_dtype) - dataset = Dataset.from_pandas(df) - feature = dataset.features["feature_name"] +def test_value(dataset_type, output_value, output_dtype, datasets) -> None: + dataset = datasets[dataset_type] + feature = dataset.features["col"] @@ -129,3 +69 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - value = get_cell_value( - "dataset", "config", "split", 7, dataset[0]["feature_name"], "feature_name", feature, ASSETS_BASE_URL - ) + value = get_cell_value("dataset", "config", "split", 7, dataset[0]["col"], "col", feature, ASSETS_BASE_URL) @@ -135 +72,0 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: [email protected]("config") @@ -137 +74 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - "get_data_tuple", + "dataset_type,output_value,output_type", @@ -139 +75,0 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - # (input value, input feature, output value, output _type) @@ -142 +78 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ("positive", ClassLabel(names=["negative", "positive"]), 1, "ClassLabel"), + ("class_label", 1, "ClassLabel"), @@ -145,6 +81 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ( - {"a": 0}, - None, - {"a": 0}, - {"a": Value(dtype="int64", id=None)}, - ), + ("dict", {"a": 0}, {"a": Value(dtype="int64", id=None)}), @@ -160,23 +91,5 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ( - [{"a": 0}], - None, - [{"a": 0}], - [{"a": Value(dtype="int64", id=None)}], - ), - lambda config: ( - [0], - None, - [0], - "Sequence", - ), - lambda config: ( - [{"a": 0}], - Sequence(feature={"a": Value(dtype="int64")}), - {"a": [0]}, - "Sequence", - ), - # lambda config: ( - # [ - # {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, - # ], - # Sequence(feature=Audio()), + ("list", [{"a": 0}], [{"a": Value(dtype="int64", id=None)}]), + ("sequence_simple", [0], "Sequence"), + ("sequence", {"a": [0]}, "Sequence"), + # ( + # "sequence_audio" @@ -185 +98 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - # "Sequence", + # "Sequence" @@ -189,16 +102,8 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ( - np.zeros((2, 2)), - Array2D(shape=(2, 2), dtype="float32"), - [[0.0, 0.0], [0.0, 0.0]], - "Array2D", - ), - lambda config: ( - np.zeros((2, 2, 2)), - Array3D(shape=(2, 2, 2), dtype="float32"), - [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], - "Array3D", - ), - lambda config: ( - np.zeros((1, 1, 1, 1)), - Array4D(shape=(1, 1, 1, 1), dtype="int32"), - [[[[0]]]], + ("array2d", [[0.0, 0.0], [0.0, 0.0]], "Array2D"), + ("array3d", [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], "Array3D"), + ( + "array4d", + [ + [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], + [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], + ], @@ -207,4 +112,12 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ( - np.zeros((1, 1, 1, 1, 1)), - Array5D(shape=(1, 1, 1, 1, 1), dtype="int32"), - [[[[[0]]]]], + ( + "array5d", + [ + [ + [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], + [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], + ], + [ + [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], + [[[0.0, 0.0], [0.0, 0.0]], [[0.0, 0.0], [0.0, 0.0]]], + ], + ], @@ -216,3 +129,2 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ( - {"array": [0.1, 0.2, 0.3], "sampling_rate": 16_000}, - Audio(), + ( + "audio", @@ -221 +133 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - "src": "http://localhost/assets/dataset/--/config/split/7/feature_name/audio.mp3", + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio.mp3", @@ -225 +137 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - "src": "http://localhost/assets/dataset/--/config/split/7/feature_name/audio.wav", + "src": "http://localhost/assets/dataset/--/config/split/7/col/audio.wav", @@ -234,6 +146 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ( - {"path": config["image_file"]}, - Image(), - "http://localhost/assets/dataset/--/config/split/7/feature_name/image.jpg", - "Image", - ), + ("image", "http://localhost/assets/dataset/--/config/split/7/col/image.jpg", "Image"), @@ -242,9 +149,3 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: - lambda config: ( - {"en": "the cat", "fr": "le chat"}, - Translation(languages=["en", "fr"]), - {"en": "the cat", "fr": "le chat"}, - "Translation", - ), - lambda config: ( - {"en": "the cat", "fr": ["le chat", "la chatte"]}, - TranslationVariableLanguages(languages=["en", "fr"]), + ("translation", {"en": "the cat", "fr": "le chat"}, "Translation"), + ( + "translation_variable_languages", @@ -256,10 +157,5 @@ def test_value(input_value, input_dtype, output_value, output_dtype) -> None: -def test_others(config, get_data_tuple) -> None: - (input_value, input_feature, output_value, output__type) = get_data_tuple(config) - if input_feature is None: - dataset = Dataset.from_dict({"feature_name": [input_value]}) - else: - features = Features({"feature_name": input_feature}) - dataset = Dataset.from_dict({"feature_name": [input_value]}, features) - feature = dataset.features["feature_name"] - if type(output__type) in [list, dict]: - assert feature == output__type +def test_others(dataset_type: str, output_value: Any, output_type: Any, datasets: Dict[str, Dataset]) -> None: + dataset = datasets[dataset_type] + feature = dataset.features["col"] + if type(output_type) in [list, dict]: + assert feature == output_type @@ -267,4 +163,2 @@ def test_others(config, get_data_tuple) -> None: - assert feature._type == output__type - value = get_cell_value( - "dataset", "config", "split", 7, dataset[0]["feature_name"], "feature_name", feature, ASSETS_BASE_URL - ) + assert feature._type == output_type + value = get_cell_value("dataset", "config", "split", 7, dataset[0]["col"], "col", feature, ASSETS_BASE_URL) diff --git a/services/worker/tests/test_main.py b/services/worker/tests/test_main.py index bb71d45f..47435ab1 100644 --- a/services/worker/tests/test_main.py +++ b/services/worker/tests/test_main.py @@ -10 +10,6 @@ from worker.main import process_next_first_rows_job, process_next_splits_job -from ._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL +from .utils import ( + MONGO_CACHE_DATABASE, + MONGO_QUEUE_DATABASE, + MONGO_URL, + get_default_config_split, +) @@ -31,2 +36,2 @@ def clean_mongo_database() -> None: -def test_process_next_splits_job(): - add_splits_job("acronym_identification") +def test_process_next_splits_job(hub_public_csv: str) -> None: + add_splits_job(hub_public_csv) @@ -37,2 +42,3 @@ def test_process_next_splits_job(): -def test_process_next_first_rows_job(): - add_first_rows_job("acronym_identification", "default", "train") +def test_process_next_first_rows_job(hub_public_csv: str) -> None: + dataset, config, split = get_default_config_split(hub_public_csv) + add_first_rows_job(dataset, config, split) diff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py index 11f66a72..651216e5 100644 --- a/services/worker/tests/test_refresh.py +++ b/services/worker/tests/test_refresh.py @@ -16 +16,2 @@ from worker.refresh import refresh_first_rows, refresh_splits -from ._utils import ( +from .fixtures.files import DATA +from .utils import ( @@ -21,0 +23,2 @@ from ._utils import ( + ROWS_MAX_NUMBER, + get_default_config_split, @@ -47,0 +51,7 @@ def test_doesnotexist() -> None: + dataset, config, split = get_default_config_split(dataset_name) + assert refresh_first_rows(dataset, config, split, ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT) == ( + HTTPStatus.NOT_FOUND, + False, + ) + with pytest.raises(DoesNotExist): + get_first_rows_response(dataset, config, split) @@ -50,6 +60,3 @@ def test_doesnotexist() -> None: -def test_e2e_examples() -> None: - # see https://github.com/huggingface/datasets-server/issues/78 - dataset_name = "Check/region_1" - - assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) - response, _, _ = get_splits_response(dataset_name) +def test_refresh_splits(hub_public_csv: str) -> None: + assert refresh_splits(hub_public_csv, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) + response, _, _ = get_splits_response(hub_public_csv) @@ -60,17 +66,0 @@ def test_e2e_examples() -> None: - dataset_name = "acronym_identification" - assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) - response, _, _ = get_splits_response(dataset_name) - assert len(response["splits"]) == 3 - assert response["splits"][0]["num_bytes"] == 7792803 - assert response["splits"][0]["num_examples"] == 14006 - - -def test_large_document() -> None: - # see https://github.com/huggingface/datasets-server/issues/89 - dataset_name = "SaulLu/Natural_Questions_HTML" - - assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) - _, http_status, error_code = get_splits_response(dataset_name) - assert http_status == HTTPStatus.OK - assert error_code is None - @@ -78,3 +68,4 @@ def test_large_document() -> None: -def test_first_rows() -> None: - http_status, _ = refresh_first_rows("common_voice", "tr", "train", ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT) - response, cached_http_status, error_code = get_first_rows_response("common_voice", "tr", "train") +def test_refresh_first_rows(hub_public_csv: str) -> None: + dataset, config, split = get_default_config_split(hub_public_csv) + http_status, _ = refresh_first_rows(dataset, config, split, ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT) + response, cached_http_status, error_code = get_first_rows_response(dataset, config, split) @@ -84 +74,0 @@ def test_first_rows() -> None: - @@ -86 +76 @@ def test_first_rows() -> None: - assert response["features"][0]["name"] == "client_id" + assert response["features"][0]["name"] == "col_1" @@ -88,5 +78,3 @@ def test_first_rows() -> None: - assert response["features"][0]["type"]["dtype"] == "string" - - assert response["features"][2]["name"] == "audio" - assert response["features"][2]["type"]["_type"] == "Audio" - assert response["features"][2]["type"]["sampling_rate"] == 48000 + assert response["features"][0]["type"]["dtype"] == "int64" # <---| + assert response["features"][1]["type"]["dtype"] == "int64" # <---|- auto-detected by the datasets library + assert response["features"][2]["type"]["dtype"] == "float64" # <-| @@ -93,0 +82 @@ def test_first_rows() -> None: + assert len(response["rows"]) == min(len(DATA), ROWS_MAX_NUMBER) @@ -95,5 +84 @@ def test_first_rows() -> None: - assert response["rows"][0]["row"]["client_id"].startswith("54fc2d015c27a057b") - assert response["rows"][0]["row"]["audio"] == [ - {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3", "type": "audio/mpeg"}, - {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav", "type": "audio/wav"}, - ] + assert response["rows"][0]["row"] == {"col_1": 0, "col_2": 0, "col_3": 0.0} diff --git a/services/worker/tests/_utils.py b/services/worker/tests/utils.py similarity index 85% rename from services/worker/tests/_utils.py rename to services/worker/tests/utils.py index 016952be..1b0db32c 100644 --- a/services/worker/tests/_utils.py +++ b/services/worker/tests/utils.py @@ -1,0 +2 @@ import os +from typing import Tuple @@ -19,0 +21,6 @@ ROWS_MAX_NUMBER = get_int_value(d=os.environ, key="ROWS_MAX_NUMBER", default=DEF + + +def get_default_config_split(dataset: str) -> Tuple[str, str, str]: + config = dataset.replace("/", "--") + split = "train" + return dataset, config, split diff --git a/tools/Python.mk b/tools/Python.mk index 8f978632..1fa36697 100644 --- a/tools/Python.mk +++ b/tools/Python.mk @@ -38 +38 @@ test-target: - MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) $(PYTEST_ARGS) + MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} poetry run python -m pytest -vv -x $(TEST_TARGET) $(PYTEST_ARGS) @@ -42 +42 @@ test-target-expression: - MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS) + MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} poetry run python -m pytest -vv -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS)
5d18f3be27c81488825bac163d2da49d27d44360
Lysandre Debut
2022-08-24T13:35:46
Private token handling (#517)
diff --git a/.github/workflows/doc-pr-build.yml b/.github/workflows/doc-pr-build.yml index e96da13a..ec7d1fd5 100644 --- a/.github/workflows/doc-pr-build.yml +++ b/.github/workflows/doc-pr-build.yml @@ -20,0 +21,2 @@ jobs: + secrets: + token: ${{ secrets.HUGGINGFACE_PUSH }} diff --git a/.github/workflows/doc-pr-delete.yml b/.github/workflows/doc-pr-delete.yml index dbc52172..76afa9c9 100644 --- a/.github/workflows/doc-pr-delete.yml +++ b/.github/workflows/doc-pr-delete.yml @@ -13,0 +14,2 @@ jobs: + secrets: + token: ${{ secrets.HUGGINGFACE_PUSH }}
4b2b83b741bc01ad790399171f10f431f53cef1e
Sylvain Lesage
2022-08-22T18:34:09
test: 💍 test cookie authentication (#514)
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 9212d3fc..d8f2a0da 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -72 +72 @@ jobs: - HF_TOKEN: "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" + HF_TOKEN: "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" diff --git a/README.md b/README.md index f22d7af9..00add7ec 100644 --- a/README.md +++ b/README.md @@ -59 +59 @@ The Hugging Face Hub instance can be configured thanks to `HF_ENDPOINT`, so that -| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` | +| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` | diff --git a/e2e/Makefile b/e2e/Makefile index efc6da51..62320d57 100644 --- a/e2e/Makefile +++ b/e2e/Makefile @@ -9 +9 @@ export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co -export TEST_HF_TOKEN := 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 +export TEST_HF_TOKEN := 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 diff --git a/e2e/tests/fixtures/hub.py b/e2e/tests/fixtures/hub.py index 5367280e..d500dcad 100644 --- a/e2e/tests/fixtures/hub.py +++ b/e2e/tests/fixtures/hub.py @@ -17,2 +17,7 @@ from huggingface_hub.hf_api import ( # type: ignore -CI_HUB_USER = "__DUMMY_TRANSFORMERS_USER__" -CI_HUB_USER_TOKEN = "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" +# see https://github.com/huggingface/moon-landing/blob/main/server/scripts/staging-seed-db.ts +CI_HUB_USER = "__DUMMY_DATASETS_SERVER_USER__" +CI_HUB_USER_API_TOKEN = "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" +CI_HUB_USER_SESSION_TOKEN = ( + "oMidckPVQYumfKrAHNYKqnbacRoLaMppHRRlfNbupNahzAHCz" + "InBVbhgGosDneYXHVTKkkWygoMDxBfFUkFPIPiVWBtZtSTYIYTScnEKAJYkyGBAcbVTbokAygCCTWvH" +) @@ -98,2 +103,2 @@ def set_ci_hub_access_token() -> Iterable[None]: - _api.set_access_token(CI_HUB_USER_TOKEN) - HfFolder.save_token(CI_HUB_USER_TOKEN) + _api.set_access_token(CI_HUB_USER_API_TOKEN) + HfFolder.save_token(CI_HUB_USER_API_TOKEN) @@ -112,3 +117,3 @@ def hf_token(hf_api: HfApi) -> Iterable[str]: - hf_api.set_access_token(CI_HUB_USER_TOKEN) - HfFolder.save_token(CI_HUB_USER_TOKEN) - yield CI_HUB_USER_TOKEN + hf_api.set_access_token(CI_HUB_USER_API_TOKEN) + HfFolder.save_token(CI_HUB_USER_API_TOKEN) + yield CI_HUB_USER_API_TOKEN @@ -122 +127 @@ def cleanup_repo(hf_api: HfApi): - hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_TOKEN, repo_type="dataset") + hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_API_TOKEN, repo_type="dataset") @@ -219 +224 @@ def hf_dataset_repos_csv_data( -AuthType = Literal["token", "none"] +AuthType = Literal["cookie", "token", "none"] @@ -225 +230,5 @@ def auth_headers() -> AuthHeaders: - return {"none": {}, "token": {"Authorization": f"Bearer {CI_HUB_USER_TOKEN}"}} + return { + "none": {}, + "token": {"Authorization": f"Bearer {CI_HUB_USER_API_TOKEN}"}, + "cookie": {"Cookie": f"token={CI_HUB_USER_SESSION_TOKEN}"}, + } diff --git a/e2e/tests/test_30_auth.py b/e2e/tests/test_30_auth.py index 947c13b7..8a0037fb 100644 --- a/e2e/tests/test_30_auth.py +++ b/e2e/tests/test_30_auth.py @@ -45,9 +45,10 @@ def test_splits_next_public_auth( - if type == "private": - # no need to refresh, it's not implemented. - # TODO: the webhook should respond 501 Not implemented when provided with a private dataset - # (and delete the cache if existing) - r_splits = get(f"/splits-next?dataset={dataset}", headers=auth_headers[auth]) - r_rows = get(f"/first-rows?dataset={dataset}&config={config}&split={split}", headers=auth_headers[auth]) - else: - r_splits = refresh_poll_splits_next(dataset, headers=auth_headers[auth]) - r_rows = poll_first_rows(dataset, config, split, headers=auth_headers[auth]) + # pivate: no need to refresh, it's not implemented. + # TODO: the webhook should respond 501 Not implemented when provided with a private dataset + # (and delete the cache if existing) + r_splits = ( + get(f"/splits-next?dataset={dataset}", headers=auth_headers[auth]) + if type == "private" + else refresh_poll_splits_next(dataset, headers=auth_headers[auth]) + ) + assert r_splits.status_code == status_code, log(r_splits, dataset) + assert r_splits.headers.get("X-Error-Code") == error_code_splits_next, log(r_splits, dataset) @@ -55 +56,5 @@ def test_splits_next_public_auth( - assert r_splits.status_code == status_code, log(r_rows, dataset) + r_rows = ( + get(f"/first-rows?dataset={dataset}&config={config}&split={split}", headers=auth_headers[auth]) + if type == "private" + else poll_first_rows(dataset, config, split, headers=auth_headers[auth]) + ) @@ -57,2 +61,0 @@ def test_splits_next_public_auth( - - assert r_splits.headers.get("X-Error-Code") == error_code_splits_next, log(r_rows, dataset)
41ecd207b65c06aee447a221a45c44362e80d550
Sylvain Lesage
2022-08-12T21:56:27
docs: ✏️ fix list and sequence features (#512)
diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 9eba80fb..895a7879 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -647 +647 @@ - "$ref": "#/components/schemas/DictFeature" + "$ref": "#/components/schemas/Feature" @@ -660 +660 @@ - "$ref": "#/components/schemas/DictFeature" + "$ref": "#/components/schemas/Feature"
487c39d87998f8d5a35972f1027d6c8e588e622d
Sylvain Lesage
2022-08-08T19:32:09
Add expected x error code headers (#509)
diff --git a/.github/workflows/openapi-spec.yml b/.github/workflows/openapi-spec.yml new file mode 100644 index 00000000..0ad6f243 --- /dev/null +++ b/.github/workflows/openapi-spec.yml @@ -0,0 +1,38 @@ +name: Check openapi specification +on: + workflow_dispatch: + push: + paths: + - 'chart/static-files/opanapi.json' + - '.github/workflows/openapi.yml' +env: + python-version: 3.9.6 + poetry-version: 1.1.13 + # required to get access to use a cached poetry venv in "/home/runner/.cache/pypoetry/virtualenvs" + POETRY_VIRTUALENVS_IN_PROJECT: false + working-directory: e2e +jobs: + check-openapi-spec: + defaults: + run: + shell: bash + working-directory: e2e + runs-on: "ubuntu-latest" + steps: + - uses: actions/checkout@v3 + - name: Install poetry + run: pipx install poetry==${{ env.poetry-version }} + - name: Use Python + uses: actions/setup-python@v3 + with: + python-version: ${{ env.python-version }} + cache: 'poetry' + cache-dependency-path: | + ${{ env.working-directory }}/poetry.lock + - name: Install dependencies + run: | + poetry env use "${{ env.python-version }}" + poetry install + - name: Check openapi spec + run: | + poetry run python -m openapi_spec_validator ../chart/static-files/openapi.json diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 5bd47ecc..9eba80fb 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -35,4 +35,258 @@ - "X-Error-Code": { - "description": "A string that identifies the underlying error.", - "schema": { "type": "string" }, - "example": "DatasetNotFoundError", + "X-Error-Code-splits-next-401": { + "description": "A string that identifies the underlying error for 401 on /splits-next.", + "schema": { + "type": "string", + "enum": ["ExternalUnauthenticatedError"] + }, + "examples": { + "ExternalUnauthenticatedError": { + "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", + "value": "ExternalUnauthenticatedError" + } + }, + "required": true + }, + "X-Error-Code-splits-next-404": { + "description": "A string that identifies the underlying error for 404 on /splits-next.", + "schema": { + "type": "string", + "enum": [ + "ExternalAuthenticatedError", + "DatasetNotFoundError", + "SplitsResponseNotFound" + ] + }, + "examples": { + "ExternalAuthenticatedError": { + "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", + "value": "ExternalAuthenticatedError" + }, + "DatasetNotFoundError": { + "summary": "The dataset does not exist on the Hub.", + "value": "DatasetNotFoundError" + }, + "SplitsResponseNotFound": { + "summary": "Not found.", + "value": "SplitsResponseNotFound" + } + }, + "required": true + }, + "X-Error-Code-splits-next-422": { + "description": "A string that identifies the underlying error for 422 on /splits-next.", + "schema": { + "type": "string", + "enum": ["MissingRequiredParameter"] + }, + "examples": { + "MissingRequiredParameter": { + "summary": "Parameter 'dataset' is required", + "value": "MissingRequiredParameter" + } + }, + "required": true + }, + "X-Error-Code-splits-next-500": { + "description": "A string that identifies the underlying error for 500 on /splits-next.", + "schema": { + "type": "string", + "enum": [ + "SplitsResponseNotReadyError", + "SplitsNamesError", + "UnexpectedError" + ] + }, + "examples": { + "SplitsResponseNotReadyError": { + "summary": "The list of splits is not ready yet. Please retry later.", + "value": "SplitsResponseNotReadyError" + }, + "SplitsNamesError": { + "summary": "Cannot get the split names for the dataset.", + "value": "SplitsNamesError" + }, + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + }, + "required": true + }, + "X-Error-Code-first-rows-401": { + "description": "A string that identifies the underlying error for 401 on /first-rows.", + "schema": { + "type": "string", + "enum": ["ExternalUnauthenticatedError"] + }, + "examples": { + "ExternalUnauthenticatedError": { + "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", + "value": "ExternalUnauthenticatedError" + } + }, + "required": true + }, + "X-Error-Code-first-rows-404": { + "description": "A string that identifies the underlying error for 404 on /first-rows.", + "schema": { + "type": "string", + "enum": [ + "ExternalAuthenticatedError", + "DatasetNotFoundError", + "ConfigNotFoundError", + "SplitNotFoundError", + "FirstRowsResponseNotFound" + ] + }, + "examples": { + "ExternalAuthenticatedError": { + "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", + "value": "ExternalAuthenticatedError" + }, + "DatasetNotFoundError": { + "summary": "The dataset does not exist on the Hub.", + "value": "DatasetNotFoundError" + }, + "ConfigNotFoundError": { + "summary": "config yyy does not exist for dataset xxx", + "value": "ConfigNotFoundError" + }, + "SplitNotFoundError": { + "summary": "The config or the split does not exist in the dataset", + "value": "SplitNotFoundError" + }, + "FirstRowsResponseNotFound": { + "summary": "Not found.", + "value": "FirstRowsResponseNotFound" + } + }, + "required": true + }, + "X-Error-Code-first-rows-422": { + "description": "A string that identifies the underlying error for 422 on /first-rows.", + "schema": { + "type": "string", + "enum": ["MissingRequiredParameter"] + }, + "examples": { + "MissingRequiredParameter": { + "summary": "Parameters 'dataset', 'config' and 'split' are required", + "value": "MissingRequiredParameter" + } + }, + "required": true + }, + "X-Error-Code-first-rows-500": { + "description": "A string that identifies the underlying error for 500 on /first-rows.", + "schema": { + "type": "string", + "enum": [ + "FirstRowsResponseNotReady", + "InfoError", + "FeaturesError", + "StreamingRowsError", + "NormalRowsError", + "RowsPostProcessingError", + "UnexpectedError" + ] + }, + "examples": { + "FirstRowsResponseNotReady": { + "summary": "The list of the first rows is not ready yet. Please retry later.", + "value": "FirstRowsResponseNotReady" + }, + "InfoError": { + "summary": "The info cannot be fetched for the dataset config.", + "value": "InfoError" + }, + "FeaturesError": { + "summary": "The split features (columns) cannot be extracted.", + "value": "FeaturesError" + }, + "StreamingRowsError": { + "summary": "Cannot load the dataset split (in streaming mode) to extract the first rows.", + "value": "StreamingRowsError" + }, + "NormalRowsError": { + "summary": "Cannot load the dataset split (in normal download mode) to extract the first rows.", + "value": "NormalRowsError" + }, + "RowsPostProcessingError": { + "summary": "Server error while post-processing the split rows. Please report the issue.", + "value": "RowsPostProcessingError" + }, + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + }, + "required": true + }, + "X-Error-Code-valid-next-500": { + "description": "A string that identifies the underlying error for 500 on /valid-next.", + "schema": { + "type": "string", + "enum": ["UnexpectedError"] + }, + "examples": { + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + }, + "required": true + }, + "X-Error-Code-is-valid-next-401": { + "description": "A string that identifies the underlying error for 401 on /is-valid-next.", + "schema": { + "type": "string", + "enum": ["ExternalUnauthenticatedError"] + }, + "examples": { + "ExternalUnauthenticatedError": { + "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", + "value": "ExternalUnauthenticatedError" + } + }, + "required": true + }, + "X-Error-Code-is-valid-next-404": { + "description": "A string that identifies the underlying error for 404 on /is-valid-next.", + "schema": { + "type": "string", + "enum": ["ExternalAuthenticatedError"] + }, + "examples": { + "ExternalAuthenticatedError": { + "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", + "value": "ExternalAuthenticatedError" + } + }, + "required": true + }, + "X-Error-Code-is-valid-next-422": { + "description": "A string that identifies the underlying error for 422 on /is-valid-next.", + "schema": { + "type": "string", + "enum": ["MissingRequiredParameter"] + }, + "examples": { + "MissingRequiredParameter": { + "summary": "Parameter 'dataset' is required", + "value": "MissingRequiredParameter" + } + }, + "required": true + }, + "X-Error-Code-is-valid-next-500": { + "description": "A string that identifies the underlying error for 500 on /is-valid-next.", + "schema": { + "type": "string", + "enum": ["UnexpectedError"] + }, + "examples": { + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + }, @@ -1908 +2162 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code-valid-next-500" @@ -2020 +2274 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code-is-valid-next-401" @@ -2061 +2315 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code-is-valid-next-404" @@ -2102 +2356 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code-is-valid-next-422" @@ -2133 +2387 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code-is-valid-next-500" @@ -2308,7 +2562 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "ExternalUnauthenticatedError": { - "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", - "value": "ExternalUnauthenticatedError" - } - } + "$ref": "#/components/headers/X-Error-Code-splits-next-401" @@ -2355,15 +2603 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "ExternalAuthenticatedError": { - "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", - "value": "ExternalAuthenticatedError" - }, - "DatasetNotFoundError": { - "summary": "The dataset does not exist on the Hub.", - "value": "DatasetNotFoundError" - }, - "SplitsResponseNotFound": { - "summary": "Not found.", - "value": "SplitsResponseNotFound" - } - } + "$ref": "#/components/headers/X-Error-Code-splits-next-404" @@ -2410,7 +2644 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "MissingRequiredParameter": { - "summary": "Parameter 'dataset' is required", - "value": "MissingRequiredParameter" - } - } + "$ref": "#/components/headers/X-Error-Code-splits-next-422" @@ -2447,15 +2675 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "SplitsResponseNotReadyError": { - "summary": "The list of splits is not ready yet. Please retry later.", - "value": "SplitsResponseNotReadyError" - }, - "SplitsNamesError": { - "summary": "Cannot get the split names for the dataset.", - "value": "SplitsNamesError" - }, - "UnexpectedError": { - "summary": "Unexpected error.", - "value": "UnexpectedError" - } - } + "$ref": "#/components/headers/X-Error-Code-splits-next-500" @@ -3172,7 +3386 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "ExternalUnauthenticatedError": { - "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", - "value": "ExternalUnauthenticatedError" - } - } + "$ref": "#/components/headers/X-Error-Code-first-rows-401" @@ -3219,23 +3427 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "ExternalAuthenticatedError": { - "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", - "value": "ExternalAuthenticatedError" - }, - "DatasetNotFoundError": { - "summary": "The dataset does not exist on the Hub.", - "value": "DatasetNotFoundError" - }, - "ConfigNotFoundError": { - "summary": "config yyy does not exist for dataset xxx", - "value": "ConfigNotFoundError" - }, - "SplitNotFoundError": { - "summary": "The config or the split does not exist in the dataset", - "value": "SplitNotFoundError" - }, - "FirstRowsResponseNotFound": { - "summary": "Not found.", - "value": "FirstRowsResponseNotFound" - } - } + "$ref": "#/components/headers/X-Error-Code-first-rows-404" @@ -3290,7 +3476 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "MissingRequiredParameter": { - "summary": "Parameters 'dataset', 'config' and 'split' are required", - "value": "MissingRequiredParameter" - } - } + "$ref": "#/components/headers/X-Error-Code-first-rows-422" @@ -3355,31 +3535 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "FirstRowsResponseNotReady": { - "summary": "The list of the first rows is not ready yet. Please retry later.", - "value": "FirstRowsResponseNotReady" - }, - "InfoError": { - "summary": "The info cannot be fetched for the dataset config.", - "value": "InfoError" - }, - "FeaturesError": { - "summary": "The split features (columns) cannot be extracted.", - "value": "FeaturesError" - }, - "StreamingRowsError": { - "summary": "Cannot load the dataset split (in streaming mode) to extract the first rows.", - "value": "StreamingRowsError" - }, - "NormalRowsError": { - "summary": "Cannot load the dataset split (in normal download mode) to extract the first rows.", - "value": "NormalRowsError" - }, - "RowsPostProcessingError": { - "summary": "Server error while post-processing the split rows. Please report the issue.", - "value": "RowsPostProcessingError" - }, - "UnexpectedError": { - "summary": "Unexpected error.", - "value": "UnexpectedError" - } - } + "$ref": "#/components/headers/X-Error-Code-first-rows-500" @@ -3571,7 +3721 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "UnexpectedError": { - "summary": "Unexpected error.", - "value": "UnexpectedError" - } - } + "$ref": "#/components/headers/X-Error-Code-valid-next-500" @@ -3689,7 +3833 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "ExternalUnauthenticatedError": { - "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", - "value": "ExternalUnauthenticatedError" - } - } + "$ref": "#/components/headers/X-Error-Code-is-valid-next-401" @@ -3736,7 +3874 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "ExternalAuthenticatedError": { - "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", - "value": "ExternalAuthenticatedError" - } - } + "$ref": "#/components/headers/X-Error-Code-is-valid-next-404" @@ -3783,7 +3915 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "MissingRequiredParameter": { - "summary": "Parameter 'dataset' is required", - "value": "MissingRequiredParameter" - } - } + "$ref": "#/components/headers/X-Error-Code-is-valid-next-422" @@ -3820,7 +3946 @@ - "$ref": "#/components/headers/X-Error-Code", - "examples": { - "UnexpectedError": { - "summary": "Unexpected error.", - "value": "UnexpectedError" - } - } + "$ref": "#/components/headers/X-Error-Code-is-valid-next-500" diff --git a/e2e/Makefile b/e2e/Makefile index 24545275..efc6da51 100644 --- a/e2e/Makefile +++ b/e2e/Makefile @@ -20,0 +21,4 @@ e2e: + +.PHONY: openapi +openapi: + poetry run python -m openapi_spec_validator ../chart/static-files/openapi.json diff --git a/e2e/poetry.lock b/e2e/poetry.lock index fdaaff38..c6c45611 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -219,0 +220,16 @@ plugins = ["setuptools"] +[[package]] +name = "jsonschema" +version = "4.9.1" +description = "An implementation of JSON Schema validation for Python" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +attrs = ">=17.4.0" +pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" + +[package.extras] +format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] +format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] + @@ -251,0 +268,32 @@ python-versions = "*" +[[package]] +name = "openapi-schema-validator" +version = "0.2.3" +description = "OpenAPI schema validation for Python" +category = "main" +optional = false +python-versions = ">=3.7.0,<4.0.0" + +[package.dependencies] +jsonschema = ">=3.0.0,<5.0.0" + +[package.extras] +isodate = ["isodate"] +strict-rfc3339 = ["strict-rfc3339"] +rfc3339-validator = ["rfc3339-validator"] + +[[package]] +name = "openapi-spec-validator" +version = "0.4.0" +description = "OpenAPI 2.0 (aka Swagger) and OpenAPI 3.0 spec validator" +category = "main" +optional = false +python-versions = ">=3.7.0,<4.0.0" + +[package.dependencies] +jsonschema = ">=3.2.0,<5.0.0" +openapi-schema-validator = ">=0.2.0,<0.3.0" +PyYAML = ">=5.1" + +[package.extras] +requests = ["requests"] + @@ -348,0 +397,8 @@ diagrams = ["railroad-diagrams", "jinja2"] +[[package]] +name = "pyrsistent" +version = "0.18.1" +description = "Persistent/Functional/Immutable data structures" +category = "main" +optional = false +python-versions = ">=3.7" + @@ -502 +558 @@ python-versions = "3.9.6" -content-hash = "6d69ff2d0da11c31836f90cb10a1d45aa72c79e5c69172b4165531745c0d6dd5" +content-hash = "4c6498356591a3ad7c3d08341482301d79e1d83481311d2bf2eb3af59be2687e" @@ -590,0 +647 @@ isort = [ +jsonschema = [] @@ -622,0 +680,2 @@ mypy-extensions = [ +openapi-schema-validator = [] +openapi-spec-validator = [] @@ -662,0 +722,23 @@ pyparsing = [ +pyrsistent = [ + {file = "pyrsistent-0.18.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:df46c854f490f81210870e509818b729db4488e1f30f2a1ce1698b2295a878d1"}, + {file = "pyrsistent-0.18.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5d45866ececf4a5fff8742c25722da6d4c9e180daa7b405dc0a2a2790d668c26"}, + {file = 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--git a/e2e/pyproject.toml b/e2e/pyproject.toml index 89e4f273..e788c734 100644 --- a/e2e/pyproject.toml +++ b/e2e/pyproject.toml @@ -7,0 +8 @@ version = "0.1.0" +openapi-spec-validator = "^0.4.0"
c8e8a8625cd0831c57b9ad27d1afb25091fc2388
Sylvain Lesage
2022-08-08T18:55:57
docs: ✏️ add the expected X-Error-Code values (#508)
diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index b7217191..5bd47ecc 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -2308 +2308,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "ExternalUnauthenticatedError": { + "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", + "value": "ExternalUnauthenticatedError" + } + } @@ -2349 +2355,15 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "ExternalAuthenticatedError": { + "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", + "value": "ExternalAuthenticatedError" + }, + "DatasetNotFoundError": { + "summary": "The dataset does not exist on the Hub.", + "value": "DatasetNotFoundError" + }, + "SplitsResponseNotFound": { + "summary": "Not found.", + "value": "SplitsResponseNotFound" + } + } @@ -2390 +2410,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "MissingRequiredParameter": { + "summary": "Parameter 'dataset' is required", + "value": "MissingRequiredParameter" + } + } @@ -2421 +2447,15 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "SplitsResponseNotReadyError": { + "summary": "The list of splits is not ready yet. Please retry later.", + "value": "SplitsResponseNotReadyError" + }, + "SplitsNamesError": { + "summary": "Cannot get the split names for the dataset.", + "value": "SplitsNamesError" + }, + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + } @@ -3132 +3172,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "ExternalUnauthenticatedError": { + "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", + "value": "ExternalUnauthenticatedError" + } + } @@ -3173 +3219,23 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "ExternalAuthenticatedError": { + "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", + "value": "ExternalAuthenticatedError" + }, + "DatasetNotFoundError": { + "summary": "The dataset does not exist on the Hub.", + "value": "DatasetNotFoundError" + }, + "ConfigNotFoundError": { + "summary": "config yyy does not exist for dataset xxx", + "value": "ConfigNotFoundError" + }, + "SplitNotFoundError": { + "summary": "The config or the split does not exist in the dataset", + "value": "SplitNotFoundError" + }, + "FirstRowsResponseNotFound": { + "summary": "Not found.", + "value": "FirstRowsResponseNotFound" + } + } @@ -3222 +3290,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "MissingRequiredParameter": { + "summary": "Parameters 'dataset', 'config' and 'split' are required", + "value": "MissingRequiredParameter" + } + } @@ -3281 +3355,31 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "FirstRowsResponseNotReady": { + "summary": "The list of the first rows is not ready yet. Please retry later.", + "value": "FirstRowsResponseNotReady" + }, + "InfoError": { + "summary": "The info cannot be fetched for the dataset config.", + "value": "InfoError" + }, + "FeaturesError": { + "summary": "The split features (columns) cannot be extracted.", + "value": "FeaturesError" + }, + "StreamingRowsError": { + "summary": "Cannot load the dataset split (in streaming mode) to extract the first rows.", + "value": "StreamingRowsError" + }, + "NormalRowsError": { + "summary": "Cannot load the dataset split (in normal download mode) to extract the first rows.", + "value": "NormalRowsError" + }, + "RowsPostProcessingError": { + "summary": "Server error while post-processing the split rows. Please report the issue.", + "value": "RowsPostProcessingError" + }, + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + } @@ -3467 +3571,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + } @@ -3579 +3689,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "ExternalUnauthenticatedError": { + "summary": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication.", + "value": "ExternalUnauthenticatedError" + } + } @@ -3620 +3736,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "ExternalAuthenticatedError": { + "summary": "The dataset does not exist, or is not accessible with the current credentials (private or gated).", + "value": "ExternalAuthenticatedError" + } + } @@ -3661 +3783,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "MissingRequiredParameter": { + "summary": "Parameter 'dataset' is required", + "value": "MissingRequiredParameter" + } + } @@ -3692 +3820,7 @@ - "$ref": "#/components/headers/X-Error-Code" + "$ref": "#/components/headers/X-Error-Code", + "examples": { + "UnexpectedError": { + "summary": "Unexpected error.", + "value": "UnexpectedError" + } + } diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index 746b170b..92107018 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -303 +303 @@ def get_first_rows_response( - # ^ can raise DoesNotExistError or DatasetError + # ^ can raise DatasetNotFoundError or SplitsNamesError
a0941c3cb706951bb372cc574477016ee8b741b1
Sylvain Lesage
2022-08-08T17:52:05
docs: ✏️ fix duplicate paths (#506)
diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 97b21c3d..b7217191 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -768,10 +767,0 @@ - "ValidNextResponse": { - "type": "object", - "required": ["valid"], - "properties": { - "valid": { - "type": "array", - "items": { "type": "string" } - } - } - }, @@ -3428,313 +3417,0 @@ - "externalDocs": { - "description": "See Valid datasets (Hub docs)", - "url": "https://huggingface.co/docs/datasets-server/valid" - }, - "operationId": "listValidDatasetsNext", - "parameters": [], - "responses": { - "200": { - "description": "The valid datasets.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ValidNextResponse" - }, - "examples": { - "valid": { - "summary": "list of datasets", - "value": { - "valid": [ - "0n1xus/codexglue", - "0n1xus/pytorrent-standalone", - "0x7194633/rupile", - "51la5/keyword-extraction", - "AHussain0418/day2_data" - ] - } - } - } - } - } - }, - "500": { - "description": "The server crashed.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Unexpected error." - } - } - } - }, - "text/plain": { - "schema": { - "$ref": "#/components/schemas/ServerErrorResponse" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Internal Server Error" - } - } - } - } - } - } - } - } - }, - "/is-valid-next": { - "get": { - "summary": "Check if a dataset is valid (experimental)", - "description": "Check if a dataset works without an error (for /splits-next and /first-rows).", - "externalDocs": { - "description": "See Valid datasets (Hub docs)", - "url": "https://huggingface.co/docs/datasets-server/valid" - }, - "operationId": "isValidDatasetNext", - "security": [ - {}, - { - "HuggingFaceCookie": [] - }, - { - "HuggingFaceToken": [] - } - ], - "parameters": [ - { - "name": "dataset", - "in": "query", - "description": "The identifier of the dataset on the Hub.", - "required": true, - "schema": { "type": "string" }, - "examples": { - "glue": { "summary": "a canonical dataset", "value": "glue" }, - "Helsinki-NLP/tatoeba_mt": { - "summary": "a namespaced dataset", - "value": "Helsinki-NLP/tatoeba_mt" - } - } - } - ], - "responses": { - "200": { - "description": "The valid datasets.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/IsValidResponse" - }, - "examples": { - "valid": { - "summary": "valid dataset", - "value": { - "valid": true - } - }, - "invalid": { - "summary": "invalid dataset", - "value": { - "valid": false - } - } - } - } - } - }, - "401": { - "description": "If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "inexistent-dataset": { - "summary": "The dataset does not exist.", - "value": { - "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." - } - }, - "gated-dataset": { - "summary": "The dataset is gated.", - "value": { - "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." - } - }, - "private-dataset": { - "summary": "The dataset is private.", - "value": { - "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." - } - } - } - } - } - }, - "404": { - "description": "If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "inexistent-dataset": { - "summary": "The dataset does not exist, while authentication was provided in the request.", - "value": { - "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." - } - }, - "gated-dataset": { - "summary": "The dataset is gated, while authentication was provided in the request.", - "value": { - "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." - } - }, - "private-dataset": { - "summary": "The dataset is private, while authentication was provided in the request.", - "value": { - "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." - } - } - } - } - } - }, - "422": { - "description": "The `dataset` parameter has not been provided.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "missing-parameter": { - "summary": "The dataset parameter is missing.", - "value": { "error": "Parameter 'dataset' is required" } - }, - "empty-parameter": { - "summary": "The dataset parameter is empty (?dataset=).", - "value": { "error": "Parameter 'dataset' is required" } - } - } - } - } - }, - "500": { - "description": "The server crashed.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - }, - "X-Error-Code": { - "$ref": "#/components/headers/X-Error-Code" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomError" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Unexpected error." - } - } - } - }, - "text/plain": { - "schema": { - "$ref": "#/components/schemas/ServerErrorResponse" - }, - "examples": { - "internal": { - "summary": "internal error", - "value": { - "error": "Internal Server Error" - } - } - } - } - } - } - } - } - }, - "/valid-next": { - "get": { - "summary": "Valid datasets (experimental)", - "description": "The list of the Hub datasets that work without an error (for /splits-next and /first-rows).",
07dce4e362608e37a1aad7e5ace4e1527b9eca6d
Sylvain Lesage
2022-08-08T16:17:17
Add valid next and is valid next to the doc (#505)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index cc357ae7..e0d44424 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-75a29ae", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-8b8a505", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-dcd92f4", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-dcd92f4", @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-dcd92f4" diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index b7217191..97b21c3d 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -767,0 +768,10 @@ + "ValidNextResponse": { + "type": "object", + "required": ["valid"], + "properties": { + "valid": { + "type": "array", + "items": { "type": "string" } + } + } + }, @@ -3417,0 +3428,313 @@ + "externalDocs": { + "description": "See Valid datasets (Hub docs)", + "url": "https://huggingface.co/docs/datasets-server/valid" + }, + "operationId": "listValidDatasetsNext", + "parameters": [], + "responses": { + "200": { + "description": "The valid datasets.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ValidNextResponse" + }, + "examples": { + "valid": { + "summary": "list of datasets", + "value": { + "valid": [ + "0n1xus/codexglue", + "0n1xus/pytorrent-standalone", + "0x7194633/rupile", + "51la5/keyword-extraction", + "AHussain0418/day2_data" + ] + } + } + } + } + } + }, + "500": { + "description": "The server crashed.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Unexpected error." + } + } + } + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } + } + } + } + } + } + }, + "/is-valid-next": { + "get": { + "summary": "Check if a dataset is valid (experimental)", + "description": "Check if a dataset works without an error (for /splits-next and /first-rows).", + "externalDocs": { + "description": "See Valid datasets (Hub docs)", + "url": "https://huggingface.co/docs/datasets-server/valid" + }, + "operationId": "isValidDatasetNext", + "security": [ + {}, + { + "HuggingFaceCookie": [] + }, + { + "HuggingFaceToken": [] + } + ], + "parameters": [ + { + "name": "dataset", + "in": "query", + "description": "The identifier of the dataset on the Hub.", + "required": true, + "schema": { "type": "string" }, + "examples": { + "glue": { "summary": "a canonical dataset", "value": "glue" }, + "Helsinki-NLP/tatoeba_mt": { + "summary": "a namespaced dataset", + "value": "Helsinki-NLP/tatoeba_mt" + } + } + } + ], + "responses": { + "200": { + "description": "The valid datasets.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/IsValidResponse" + }, + "examples": { + "valid": { + "summary": "valid dataset", + "value": { + "valid": true + } + }, + "invalid": { + "summary": "invalid dataset", + "value": { + "valid": false + } + } + } + } + } + }, + "401": { + "description": "If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "gated-dataset": { + "summary": "The dataset is gated.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "private-dataset": { + "summary": "The dataset is private.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + } + } + } + } + }, + "404": { + "description": "If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "gated-dataset": { + "summary": "The dataset is gated, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "private-dataset": { + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + } + } + } + } + }, + "422": { + "description": "The `dataset` parameter has not been provided.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "missing-parameter": { + "summary": "The dataset parameter is missing.", + "value": { "error": "Parameter 'dataset' is required" } + }, + "empty-parameter": { + "summary": "The dataset parameter is empty (?dataset=).", + "value": { "error": "Parameter 'dataset' is required" } + } + } + } + } + }, + "500": { + "description": "The server crashed.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Unexpected error." + } + } + } + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } + } + } + } + } + } + }, + "/valid-next": { + "get": { + "summary": "Valid datasets (experimental)", + "description": "The list of the Hub datasets that work without an error (for /splits-next and /first-rows).",
d79966250c577d64def5105bd4de940ac79ec722
Sylvain Lesage
2022-08-08T16:03:19
Add valid next and is valid next (#504)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 0ae30bb1..cc357ae7 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -4 +4 @@ - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-75a29ae", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-8b8a505", diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 6af03beb..b7217191 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -757,0 +758,10 @@ + "ValidNextResponse": { + "type": "object", + "required": ["valid"], + "properties": { + "valid": { + "type": "array", + "items": { "type": "string" } + } + } + }, @@ -3402,0 +3413,313 @@ + }, + "/valid-next": { + "get": { + "summary": "Valid datasets (experimental)", + "description": "The list of the Hub datasets that work without an error (for /splits-next and /first-rows).", + "externalDocs": { + "description": "See Valid datasets (Hub docs)", + "url": "https://huggingface.co/docs/datasets-server/valid" + }, + "operationId": "listValidDatasetsNext", + "parameters": [], + "responses": { + "200": { + "description": "The valid datasets.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ValidNextResponse" + }, + "examples": { + "valid": { + "summary": "list of datasets", + "value": { + "valid": [ + "0n1xus/codexglue", + "0n1xus/pytorrent-standalone", + "0x7194633/rupile", + "51la5/keyword-extraction", + "AHussain0418/day2_data" + ] + } + } + } + } + } + }, + "500": { + "description": "The server crashed.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Unexpected error." + } + } + } + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } + } + } + } + } + } + }, + "/is-valid-next": { + "get": { + "summary": "Check if a dataset is valid (experimental)", + "description": "Check if a dataset works without an error (for /splits-next and /first-rows).", + "externalDocs": { + "description": "See Valid datasets (Hub docs)", + "url": "https://huggingface.co/docs/datasets-server/valid" + }, + "operationId": "isValidDatasetNext", + "security": [ + {}, + { + "HuggingFaceCookie": [] + }, + { + "HuggingFaceToken": [] + } + ], + "parameters": [ + { + "name": "dataset", + "in": "query", + "description": "The identifier of the dataset on the Hub.", + "required": true, + "schema": { "type": "string" }, + "examples": { + "glue": { "summary": "a canonical dataset", "value": "glue" }, + "Helsinki-NLP/tatoeba_mt": { + "summary": "a namespaced dataset", + "value": "Helsinki-NLP/tatoeba_mt" + } + } + } + ], + "responses": { + "200": { + "description": "The valid datasets.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/IsValidResponse" + }, + "examples": { + "valid": { + "summary": "valid dataset", + "value": { + "valid": true + } + }, + "invalid": { + "summary": "invalid dataset", + "value": { + "valid": false + } + } + } + } + } + }, + "401": { + "description": "If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "gated-dataset": { + "summary": "The dataset is gated.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "private-dataset": { + "summary": "The dataset is private.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + } + } + } + } + }, + "404": { + "description": "If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "gated-dataset": { + "summary": "The dataset is gated, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "private-dataset": { + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + } + } + } + } + }, + "422": { + "description": "The `dataset` parameter has not been provided.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "missing-parameter": { + "summary": "The dataset parameter is missing.", + "value": { "error": "Parameter 'dataset' is required" } + }, + "empty-parameter": { + "summary": "The dataset parameter is empty (?dataset=).", + "value": { "error": "Parameter 'dataset' is required" } + } + } + } + } + }, + "500": { + "description": "The server crashed.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Unexpected error." + } + } + } + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } + } + } + } + } + } diff --git a/e2e/tests/test_80_valid_next.py b/e2e/tests/test_80_valid_next.py new file mode 100644 index 00000000..9b299e4f --- /dev/null +++ b/e2e/tests/test_80_valid_next.py @@ -0,0 +1,13 @@ +from .fixtures.hub import DatasetRepos +from .utils import get + + +def test_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos): + # this test ensures that the datasets processed successfully are present in /valid-next + response = get("/valid-next") + assert response.status_code == 200, f"{response.status_code} - {response.text}" + # at this moment various datasets have been processed (due to the alphabetic order of the test files) + valid = response.json()["valid"] + assert hf_dataset_repos_csv_data["public"] in valid, response.text + assert hf_dataset_repos_csv_data["gated"] in valid, response.text + assert hf_dataset_repos_csv_data["private"] not in valid, response.text diff --git a/e2e/tests/test_90_is_valid_next.py b/e2e/tests/test_90_is_valid_next.py new file mode 100644 index 00000000..6dc68dd6 --- /dev/null +++ b/e2e/tests/test_90_is_valid_next.py @@ -0,0 +1,16 @@ +from .fixtures.hub import DatasetRepos +from .utils import get + + +def test_is_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos): + # this test ensures that a dataset processed successfully returns true in /is-valid-next + response = get("/is-valid-next") + assert response.status_code == 422, f"{response.status_code} - {response.text}" + # at this moment various datasets have been processed (due to the alphabetic order of the test files) + public = hf_dataset_repos_csv_data["public"] + response = get(f"/is-valid-next?dataset={public}") + assert response.status_code == 200, f"{response.status_code} - {response.text}" + assert response.json()["valid"] is True, response.text + # without authentication, we get a 401 error when requesting a non-existing dataset + response = get("/is-valid-next?dataset=non-existing-dataset") + assert response.status_code == 401, f"{response.status_code} - {response.text}" diff --git a/libs/libcache/dist/libcache-0.1.28-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.28-py3-none-any.whl new file mode 100644 index 00000000..e5f8649b Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.28-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.28.tar.gz b/libs/libcache/dist/libcache-0.1.28.tar.gz new file mode 100644 index 00000000..724acbc9 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.28.tar.gz differ diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index 640c0fdd..d7346cab 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5 +5 @@ name = "libcache" -version = "0.1.27" +version = "0.1.28" diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 1687a70a..549e7d51 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -220,0 +221,14 @@ def get_valid_dataset_names() -> List[str]: +# /is-valid endpoint + + +def is_dataset_name_valid(dataset_name: str) -> bool: + # a dataset is considered valid if: + # - the /splits response is valid + # - at least one of the /first-rows responses is valid + valid_split_responses = SplitsResponse.objects(dataset_name=dataset_name, http_status=HTTPStatus.OK).count() + valid_first_rows_responses = FirstRowsResponse.objects( + dataset_name=dataset_name, http_status=HTTPStatus.OK + ).count() + return (valid_split_responses == 1) and (valid_first_rows_responses > 0) + + diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index 47fc734a..360645d2 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -22,0 +23 @@ from libcache.simple_cache import ( + is_dataset_name_valid, @@ -136,0 +138,3 @@ def test_valid() -> None: + assert is_dataset_name_valid("test_dataset") is False + assert is_dataset_name_valid("test_dataset2") is False + assert is_dataset_name_valid("test_dataset3") is False @@ -149,0 +154,3 @@ def test_valid() -> None: + assert is_dataset_name_valid("test_dataset") is True + assert is_dataset_name_valid("test_dataset2") is False + assert is_dataset_name_valid("test_dataset3") is False @@ -158,0 +166,3 @@ def test_valid() -> None: + assert is_dataset_name_valid("test_dataset") is True + assert is_dataset_name_valid("test_dataset2") is False + assert is_dataset_name_valid("test_dataset3") is False @@ -171,0 +182,3 @@ def test_valid() -> None: + assert is_dataset_name_valid("test_dataset") is True + assert is_dataset_name_valid("test_dataset2") is False + assert is_dataset_name_valid("test_dataset3") is False @@ -184,0 +198,3 @@ def test_valid() -> None: + assert is_dataset_name_valid("test_dataset") is True + assert is_dataset_name_valid("test_dataset2") is True + assert is_dataset_name_valid("test_dataset3") is False @@ -193,0 +210,3 @@ def test_valid() -> None: + assert is_dataset_name_valid("test_dataset") is True + assert is_dataset_name_valid("test_dataset2") is True + assert is_dataset_name_valid("test_dataset3") is False diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 8eee90a0..e374440e 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -419 +419 @@ name = "libcache" -version = "0.1.23" +version = "0.1.28" @@ -433 +433 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.28-py3-none-any.whl" @@ -1179 +1179 @@ python-versions = "3.9.6" -content-hash = "91aabf5e4bce2ef091ca5c8eed7ce75204ffd749e0acb29dfaf48db566a8cdf4" +content-hash = "633c78a9ad9fcb89e1368e6404f2874dd0dba5275af61c0d49d3e67e812fed62" @@ -1441 +1441 @@ libcache = [ - {file = "libcache-0.1.23-py3-none-any.whl", hash = "sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb"}, + {file = "libcache-0.1.28-py3-none-any.whl", hash = "sha256:1ecf102f5bdaa5ec9706f424d2267ebd4fe323a57a8c97f5dc64543ee5a28eee"}, diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index c4ddd52b..242bbb8f 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -8 +8 @@ version = "0.1.3" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.28-py3-none-any.whl", develop = false } diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 6bf3de54..95df090c 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -32,0 +33 @@ from api.routes.valid import create_is_valid_endpoint, valid_datasets_endpoint +from api.routes.valid_next import create_is_valid_next_endpoint, valid_next_endpoint @@ -50,0 +52,2 @@ def create_app() -> Starlette: + Route("/valid-next", endpoint=valid_next_endpoint), + Route("/is-valid-next", endpoint=create_is_valid_next_endpoint(EXTERNAL_AUTH_URL)), diff --git a/services/api/src/api/routes/valid_next.py b/services/api/src/api/routes/valid_next.py new file mode 100644 index 00000000..41215386 --- /dev/null +++ b/services/api/src/api/routes/valid_next.py @@ -0,0 +1,49 @@ +import logging +from typing import Optional + +from libcache.simple_cache import get_valid_dataset_names, is_dataset_name_valid +from starlette.requests import Request +from starlette.responses import Response + +from api.authentication import auth_check +from api.utils import ( + ApiCustomError, + Endpoint, + MissingRequiredParameterError, + UnexpectedError, + are_valid_parameters, + get_json_api_error_response, + get_json_ok_response, +) + +logger = logging.getLogger(__name__) + + +async def valid_next_endpoint(_: Request) -> Response: + try: + logger.info("/valid-next") + content = {"valid": get_valid_dataset_names()} + return get_json_ok_response(content) + except Exception: + return get_json_api_error_response(UnexpectedError("Unexpected error.")) + + +def create_is_valid_next_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: + async def is_valid_next_endpoint(request: Request) -> Response: + try: + dataset_name = request.query_params.get("dataset") + logger.info(f"/is-valid, dataset={dataset_name}") + if not are_valid_parameters([dataset_name]): + raise MissingRequiredParameterError("Parameter 'dataset' is required") + # if auth_check fails, it will raise an exception that will be caught below + auth_check(dataset_name, external_auth_url=external_auth_url, request=request) + content = { + "valid": is_dataset_name_valid(dataset_name), + } + return get_json_ok_response(content) + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception: + return get_json_api_error_response(UnexpectedError("Unexpected error.")) + + return is_valid_next_endpoint diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index f1d35c8b..aa97236e 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -81,0 +82,7 @@ def test_get_valid_datasets(client: TestClient) -> None: +def test_get_valid__next_datasets(client: TestClient) -> None: + response = client.get("/valid-next") + assert response.status_code == 200 + json = response.json() + assert "valid" in json + + @@ -113,0 +121,14 @@ def test_get_is_valid(client: TestClient) -> None: [email protected] +def test_get_is_valid_next(client: TestClient) -> None: + response = client.get("/is-valid-next") + assert response.status_code == 422 + + dataset = "doesnotexist" + responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) + response = client.get("/is-valid-next", params={"dataset": dataset}) + assert response.status_code == 200 + json = response.json() + assert "valid" in json + assert json["valid"] is False + + @@ -129 +150 @@ def test_is_valid_auth( - response = client.get(f"/is-valid?dataset={dataset}", headers=headers) + response = client.get(f"/is-valid-next?dataset={dataset}", headers=headers)
9bce93dd0b266ea6a9cd79ad168b5f0bcdeb37b6
Sylvain Lesage
2022-08-08T15:09:35
refactor: 💡 use pathlib instead of os.path (#503)
diff --git a/.github/workflows/s-admin-build.yml b/.github/workflows/s-admin-build.yml index 10a563fe..7b0a0602 100644 --- a/.github/workflows/s-admin-build.yml +++ b/.github/workflows/s-admin-build.yml @@ -7 +7 @@ on: - - 'services/admin/src' + - 'services/admin/src/**' diff --git a/.github/workflows/s-api-build.yml b/.github/workflows/s-api-build.yml index 0edfb02b..bac06f22 100644 --- a/.github/workflows/s-api-build.yml +++ b/.github/workflows/s-api-build.yml @@ -7 +7 @@ on: - - 'services/api/src' + - 'services/api/src/**' diff --git a/.github/workflows/s-worker-build.yml b/.github/workflows/s-worker-build.yml index 56cb4a2c..1f1e4ef3 100644 --- a/.github/workflows/s-worker-build.yml +++ b/.github/workflows/s-worker-build.yml @@ -7 +7 @@ on: - - 'services/worker/src' + - 'services/worker/src/**' diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index bbd653a8..0ae30bb1 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-fff7ce4", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-fff7ce4", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-75a29ae", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-75a29ae", @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-75a29ae" diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py index bae916c3..97becb2f 100644 --- a/e2e/tests/utils.py +++ b/e2e/tests/utils.py @@ -4 +4 @@ import time -from os.path import dirname, join +from pathlib import Path @@ -120,2 +120,2 @@ def get_openapi_body_example(path, status, example_name): - root = dirname(dirname(dirname(__file__))) - openapi_filename = join(root, "chart", "static-files", "openapi.json") + root = Path(__file__).resolve().parent.parent.parent + openapi_filename = root / "chart" / "static-files" / "openapi.json" diff --git a/services/worker/src/worker/asset.py b/services/worker/src/worker/asset.py index e512d514..46691263 100644 --- a/services/worker/src/worker/asset.py +++ b/services/worker/src/worker/asset.py @@ -2 +2,2 @@ import logging -import os +from os import makedirs +from pathlib import Path @@ -19 +20 @@ ASSET_DIR_MODE = 0o755 -def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column: str) -> Tuple[str, str]: +def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column: str) -> Tuple[Path, str]: @@ -21 +22 @@ def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column - dir_path = os.path.join(assets_dir, dataset, DATASET_SEPARATOR, config, split, str(row_idx), column) + dir_path = Path(assets_dir).resolve() / dataset / DATASET_SEPARATOR / config / split / str(row_idx) / column @@ -23 +24 @@ def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column - os.makedirs(dir_path, ASSET_DIR_MODE, exist_ok=True) + makedirs(dir_path, ASSET_DIR_MODE, exist_ok=True) @@ -38 +39 @@ def create_image_file( - file_path = os.path.join(dir_path, filename) + file_path = dir_path / filename @@ -61,2 +62,2 @@ def create_audio_files( - wav_file_path = os.path.join(dir_path, wav_filename) - mp3_file_path = os.path.join(dir_path, mp3_filename) + wav_file_path = dir_path / wav_filename + mp3_file_path = dir_path / mp3_filename diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py index 68d73fd1..7ab1fcf9 100644 --- a/services/worker/tests/conftest.py +++ b/services/worker/tests/conftest.py @@ -1,0 +2 @@ import os +from pathlib import Path @@ -10 +11 @@ def config(): - return {"image_file": os.path.join(os.path.dirname(__file__), "data", "test_image_rgb.jpg")} + return {"image_file": str(Path(__file__).resolve().parent / "data" / "test_image_rgb.jpg")}
a22b5fd967ff3cc0c0d52615dfd73455a73b966d
Sylvain Lesage
2022-08-08T14:24:54
ci: 🎡 copy less files to the dockerfiles (#501)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 03726f14..bbd653a8 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-c90be33", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-e3d3193", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-fff7ce4", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-fff7ce4", @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-fff7ce4" diff --git a/services/admin/Dockerfile b/services/admin/Dockerfile index b55bddc4..52ad88bf 100644 --- a/services/admin/Dockerfile +++ b/services/admin/Dockerfile @@ -0,0 +1,2 @@ +# build with +# docker build -t some_tag_admin -f Dockerfile ../.. @@ -22,3 +24,6 @@ WORKDIR /src -COPY libs ./libs/ -COPY services ./services/ -COPY tools ./tools/ +COPY libs/libcache/dist ./libs/libcache/dist +COPY libs/libqueue/dist ./libs/libqueue/dist +COPY libs/libutils/dist ./libs/libutils/dist +COPY services/admin/src ./services/admin/src +COPY services/admin/poetry.lock ./services/admin/poetry.lock +COPY services/admin/pyproject.toml ./services/admin/pyproject.toml @@ -28,2 +33 @@ RUN poetry install -ENTRYPOINT ["make"] -CMD ["run"] +ENTRYPOINT ["poetry", "run", "python", "src/admin/main.py"] diff --git a/services/api/Dockerfile b/services/api/Dockerfile index a14aec62..98fabffe 100644 --- a/services/api/Dockerfile +++ b/services/api/Dockerfile @@ -0,0 +1,2 @@ +# build with +# docker build -t some_tag_api -f Dockerfile ../.. @@ -16 +18 @@ RUN apt-get update \ - && apt-get install -y build-essential unzip wget python3-dev make \ + && apt-get install -y build-essential unzip wget python3-dev \ @@ -22,3 +24,6 @@ WORKDIR /src -COPY libs ./libs/ -COPY services ./services/ -COPY tools ./tools/ +COPY libs/libcache/dist ./libs/libcache/dist +COPY libs/libqueue/dist ./libs/libqueue/dist +COPY libs/libutils/dist ./libs/libutils/dist +COPY services/api/src ./services/api/src +COPY services/api/poetry.lock ./services/api/poetry.lock +COPY services/api/pyproject.toml ./services/api/pyproject.toml @@ -28,2 +33 @@ RUN poetry install -ENTRYPOINT ["make"] -CMD ["run"] +ENTRYPOINT ["poetry", "run", "python", "src/api/main.py"] diff --git a/services/worker/Dockerfile b/services/worker/Dockerfile index 10df2279..7306a4c7 100644 --- a/services/worker/Dockerfile +++ b/services/worker/Dockerfile @@ -0,0 +1,2 @@ +# build with +# docker build -t some_tag_worker -f Dockerfile ../.. @@ -37,3 +39,6 @@ WORKDIR /src -COPY libs ./libs/ -COPY services ./services/ -COPY tools ./tools/ +COPY libs/libcache/dist ./libs/libcache/dist +COPY libs/libqueue/dist ./libs/libqueue/dist +COPY libs/libutils/dist ./libs/libutils/dist +COPY services/worker/src ./services/worker/src +COPY services/worker/poetry.lock ./services/worker/poetry.lock +COPY services/worker/pyproject.toml ./services/worker/pyproject.toml @@ -44,2 +49 @@ RUN poetry install -ENTRYPOINT ["make"] -CMD ["run"] +ENTRYPOINT ["poetry", "run", "python", "src/worker/main.py"]
89de3165bf98c378535f887e5cbe9787e58a11f3
Sylvain Lesage
2022-08-05T21:18:26
ci: 🎡 separate docker workflows (#500)
diff --git a/.github/workflows/_docker.yml b/.github/workflows/_docker.yml index 3dd84a21..bff9777d 100644 --- a/.github/workflows/_docker.yml +++ b/.github/workflows/_docker.yml @@ -53,2 +53,2 @@ jobs: - cache-from: type=gha,scope=buildkit-${{ inputs.service }} - cache-to: type=gha,mode=max,scope=buildkit-${{ inputs.service }} + # cache-from: type=gha,scope=buildkit-${{ inputs.service }} + # cache-to: type=gha,mode=max,scope=buildkit-${{ inputs.service }} diff --git a/.github/workflows/s-admin-build.yml b/.github/workflows/s-admin-build.yml new file mode 100644 index 00000000..10a563fe --- /dev/null +++ b/.github/workflows/s-admin-build.yml @@ -0,0 +1,19 @@ +name: services/admin +on: + workflow_dispatch: + push: + paths: + - 'services/admin/Dockerfile' + - 'services/admin/src' + - 'services/admin/poetry.lock' + - 'services/admin/pyproject.toml' + - '.github/workflows/s-admin-build.yml' + - '.github/workflows/_docker.yml' +jobs: + docker: + uses: ./.github/workflows/_docker.yml + with: + service: admin + secrets: + aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} + aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} diff --git a/.github/workflows/s-admin.yml b/.github/workflows/s-admin.yml index ba63712c..3203f8d5 100644 --- a/.github/workflows/s-admin.yml +++ b/.github/workflows/s-admin.yml @@ -10 +9,0 @@ on: - - '.github/workflows/_docker.yml' @@ -24,7 +22,0 @@ jobs: - docker: - uses: ./.github/workflows/_docker.yml - with: - service: admin - secrets: - aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} diff --git a/.github/workflows/s-api-build.yml b/.github/workflows/s-api-build.yml new file mode 100644 index 00000000..0edfb02b --- /dev/null +++ b/.github/workflows/s-api-build.yml @@ -0,0 +1,19 @@ +name: services/api +on: + workflow_dispatch: + push: + paths: + - 'services/api/Dockerfile' + - 'services/api/src' + - 'services/api/poetry.lock' + - 'services/api/pyproject.toml' + - '.github/workflows/s-api-build.yml' + - '.github/workflows/_docker.yml' +jobs: + docker: + uses: ./.github/workflows/_docker.yml + with: + service: api + secrets: + aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} + aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} diff --git a/.github/workflows/s-api.yml b/.github/workflows/s-api.yml index 8d2bd67d..89b58577 100644 --- a/.github/workflows/s-api.yml +++ b/.github/workflows/s-api.yml @@ -10 +9,0 @@ on: - - '.github/workflows/_docker.yml' @@ -24,7 +22,0 @@ jobs: - docker: - uses: ./.github/workflows/_docker.yml - with: - service: api - secrets: - aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} diff --git a/.github/workflows/s-worker-build.yml b/.github/workflows/s-worker-build.yml new file mode 100644 index 00000000..56cb4a2c --- /dev/null +++ b/.github/workflows/s-worker-build.yml @@ -0,0 +1,19 @@ +name: services/worker +on: + workflow_dispatch: + push: + paths: + - 'services/worker/Dockerfile' + - 'services/worker/src' + - 'services/worker/poetry.lock' + - 'services/worker/pyproject.toml' + - '.github/workflows/s-worker-build.yml' + - '.github/workflows/_docker.yml' +jobs: + docker: + uses: ./.github/workflows/_docker.yml + with: + service: worker + secrets: + aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} + aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} diff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml index df49fc0d..6caddd49 100644 --- a/.github/workflows/s-worker.yml +++ b/.github/workflows/s-worker.yml @@ -10 +9,0 @@ on: - - '.github/workflows/_docker.yml' @@ -12,0 +12 @@ on: + - 'vendors/' @@ -29,7 +28,0 @@ jobs: - docker: - uses: ./.github/workflows/_docker.yml - with: - service: worker - secrets: - aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
5e8f63bc50506c06270db7204903eca985b52e89
Sylvain Lesage
2022-08-05T19:28:38
Use hub ci for tests (#499)
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index bae43f79..9212d3fc 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -70,8 +70,10 @@ jobs: - EXTERNAL_AUTH_URL: "https://huggingface.co/api/datasets/%s/auth-check" - SERVICE_ADMIN_DOCKER_IMAGE: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.admin}}" - SERVICE_API_DOCKER_IMAGE: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.api}}" - SERVICE_REVERSE_PROXY_DOCKER_IMAGE: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.reverseProxy}}" - SERVICE_WORKER_DATASETS_DOCKER_IMAGE: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.datasets}}" - SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}" - SERVICE_WORKER_SPLITS_DOCKER_IMAGE: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splits}}" - SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splitsNext}}" + # hard coded, see e2e/tests/fixtures/hub.py + HF_ENDPOINT: "https://hub-ci.huggingface.co" + HF_TOKEN: "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" + IMAGE_ADMIN: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.admin}}" + IMAGE_API: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.api}}" + IMAGE_REVERSE_PROXY: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.reverseProxy}}" + IMAGE_WORKER_DATASETS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.datasets}}" + IMAGE_WORKER_FIRST_ROWS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.firstRows}}" + IMAGE_WORKER_SPLITS: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splits}}" + IMAGE_WORKER_SPLITS_NEXT: "${{fromJson(needs.get-config.outputs.dockerConfig).dockerImage.worker.splitsNext}}" diff --git a/.github/workflows/build_documentation.yml b/.github/workflows/doc-build.yml similarity index 83% rename from .github/workflows/build_documentation.yml rename to .github/workflows/doc-build.yml index 96d610c1..9b2b8f7f 100644 --- a/.github/workflows/build_documentation.yml +++ b/.github/workflows/doc-build.yml @@ -7,2 +7,3 @@ on: - - doc-builder* - - v*-release + paths: + - 'docs/**' + - '.github/workflows/doc-build.yml' diff --git a/.github/workflows/build_pr_documentation.yml b/.github/workflows/doc-pr-build.yml similarity index 85% rename from .github/workflows/build_pr_documentation.yml rename to .github/workflows/doc-pr-build.yml index 351abfe1..e96da13a 100644 --- a/.github/workflows/build_pr_documentation.yml +++ b/.github/workflows/doc-pr-build.yml @@ -4,0 +5,3 @@ on: + paths: + - 'docs/**' + - '.github/workflows/doc-pr-build.yml' diff --git a/.github/workflows/delete_doc_comment.yml b/.github/workflows/doc-pr-delete.yml similarity index 87% rename from .github/workflows/delete_doc_comment.yml rename to .github/workflows/doc-pr-delete.yml index e42b2ee0..dbc52172 100644 --- a/.github/workflows/delete_doc_comment.yml +++ b/.github/workflows/doc-pr-delete.yml @@ -1 +1 @@ -name: Delete dev documentation +name: Delete PR documentation diff --git a/Makefile b/Makefile index 1dfc4331..dcc58aa2 100644 --- a/Makefile +++ b/Makefile @@ -3,3 +3,3 @@ export LOCAL_CODE_MONGO_PORT := 27060 -export LOCAL_CODE_SERVICE_ADMIN_PORT := 8081 -export LOCAL_CODE_SERVICE_API_PORT := 8080 -export LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT := 8000 +export LOCAL_CODE_PORT_ADMIN := 8081 +export LOCAL_CODE_PORT_API := 8080 +export LOCAL_CODE_PORT_REVERSE_PROXY := 8000 @@ -9,3 +9,3 @@ export REMOTE_IMAGES_MONGO_PORT := 27061 -export REMOTE_IMAGES_SERVICE_ADMIN_PORT := 8181 -export REMOTE_IMAGES_SERVICE_API_PORT := 8180 -export REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT := 8100 +export REMOTE_IMAGES_PORT_ADMIN := 8181 +export REMOTE_IMAGES_PORT_API := 8180 +export REMOTE_IMAGES_PORT_REVERSE_PROXY := 8100 @@ -33,2 +33,2 @@ start-from-local-code: - MONGO_PORT=${LOCAL_CODE_MONGO_PORT} SERVICE_ADMIN_PORT=${LOCAL_CODE_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${LOCAL_CODE_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down - MONGO_PORT=${LOCAL_CODE_MONGO_PORT} SERVICE_ADMIN_PORT=${LOCAL_CODE_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${LOCAL_CODE_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) up + MONGO_PORT=${LOCAL_CODE_MONGO_PORT} PORT_ADMIN=${LOCAL_CODE_PORT_ADMIN} PORT_API=${LOCAL_CODE_PORT_API} PORT_REVERSE_PROXY=${LOCAL_CODE_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down + MONGO_PORT=${LOCAL_CODE_MONGO_PORT} PORT_ADMIN=${LOCAL_CODE_PORT_ADMIN} PORT_API=${LOCAL_CODE_PORT_API} PORT_REVERSE_PROXY=${LOCAL_CODE_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) up @@ -38 +38 @@ stop-from-local-code: - MONGO_PORT=${LOCAL_CODE_MONGO_PORT} SERVICE_ADMIN_PORT=${LOCAL_CODE_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${LOCAL_CODE_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${LOCAL_CODE_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down + MONGO_PORT=${LOCAL_CODE_MONGO_PORT} PORT_ADMIN=${LOCAL_CODE_PORT_ADMIN} PORT_API=${LOCAL_CODE_PORT_API} PORT_REVERSE_PROXY=${LOCAL_CODE_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${LOCAL_CODE_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${LOCAL_CODE_DOCKER_COMPOSE} $(MAKE) down @@ -42,2 +42,2 @@ start-from-remote-images: - MONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} SERVICE_ADMIN_PORT=${REMOTE_IMAGES_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${REMOTE_IMAGES_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down - MONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} SERVICE_ADMIN_PORT=${REMOTE_IMAGES_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${REMOTE_IMAGES_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) up + MONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} PORT_ADMIN=${REMOTE_IMAGES_PORT_ADMIN} PORT_API=${REMOTE_IMAGES_PORT_API} PORT_REVERSE_PROXY=${REMOTE_IMAGES_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down + MONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} PORT_ADMIN=${REMOTE_IMAGES_PORT_ADMIN} PORT_API=${REMOTE_IMAGES_PORT_API} PORT_REVERSE_PROXY=${REMOTE_IMAGES_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) up @@ -47 +47 @@ stop-from-remote-images: - MONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} SERVICE_ADMIN_PORT=${REMOTE_IMAGES_SERVICE_ADMIN_PORT} SERVICE_API_PORT=${REMOTE_IMAGES_SERVICE_API_PORT} SERVICE_REVERSE_PROXY_PORT=${REMOTE_IMAGES_SERVICE_REVERSE_PROXY_PORT} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down + MONGO_PORT=${REMOTE_IMAGES_MONGO_PORT} PORT_ADMIN=${REMOTE_IMAGES_PORT_ADMIN} PORT_API=${REMOTE_IMAGES_PORT_API} PORT_REVERSE_PROXY=${REMOTE_IMAGES_PORT_REVERSE_PROXY} COMPOSE_PROJECT_NAME=${REMOTE_IMAGES_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${REMOTE_IMAGES_DOCKER_COMPOSE} $(MAKE) down diff --git a/README.md b/README.md index 5514b536..f22d7af9 100644 --- a/README.md +++ b/README.md @@ -32 +32 @@ Note that two job queues exist: -Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpooint. +Note also that the workers create local files when the dataset contains images or audios. A shared directory (`ASSETS_DIRECTORY`) must therefore be provisioned with sufficient space for the generated files. The `/rows` endpoint responses contain URLs to these files, served by the API under the `/assets/` endpoint. @@ -39,0 +40,21 @@ Hence, the working application has: + +## Environments + +The following environments contain all the modules: reverse proxy, API server, admin API server, workers, and the Mongo database. + +| Environment | URL | Type | How to deploy | +| ------------------------ | ---------------------------------------------------- | ----------------- | -------------------------------------------------------------------- | +| Production | https://datasets-server.huggingface.co | Helm / Kubernetes | `make upgrade-prod` in [chart](./chart) | +| Development | https://datasets-server.us.dev.moon.huggingface.tech | Helm / Kubernetes | `make upgrade-dev` in [chart](./chart) | +| Local from remote images | http://localhost:8100 | Docker compose | `make start-from-remote-images` (fetches docker images from AWS ECR) | +| Local build | http://localhost:8000 | Docker compose | `make start-from-local-code` (builds docker images) | + +The Hugging Face Hub instance can be configured thanks to `HF_ENDPOINT`, so that the datasets server can access the Hub, a private Hub, or the instance dedicated to CI (https://hub-ci.huggingface.co/). The `HF_TOKEN` environment variable used by the workers to access the gated datasets must be set accordingly. + +| Where | `HF_ENDPOINT` (api, worker) | `HF_TOKEN` (worker) | +| ----------------- | ----------------------------------------------------------------------- | ------------------------------------------------------------- | +| production | https://huggingface.co/ | Kubernetes secret | +| development | https://huggingface.co/ | Kubernetes secret | +| local docker | https://huggingface.co/. Override with `HF_ENDPOINT=... make start-...` | Enable the gated datasets with `HF_TOKEN=... make start-...` | +| e2e | https://hub-ci.huggingface.co/ | Hard-coded: `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` | +| worker unit tests | https://huggingface.co/ | GitHub secret (CI). Run locally with `HF_TOKEN=... make test` | diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index e58c2883..03726f14 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-70dca73", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-70dca73", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-c90be33", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-e3d3193", @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-ebbff7e" diff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl index e24b97fd..afe53d8c 100644 --- a/chart/templates/api/_container.tpl +++ b/chart/templates/api/_container.tpl @@ -12,2 +12,2 @@ - - name: EXTERNAL_AUTH_URL - value: {{ .Values.api.externalAuthUrl | quote }} + - name: HF_ENDPOINT + value: {{ .Values.hfEndpoint | quote }} diff --git a/chart/templates/worker/datasets/_container.tpl b/chart/templates/worker/datasets/_container.tpl index 3fca9411..85cb3830 100644 --- a/chart/templates/worker/datasets/_container.tpl +++ b/chart/templates/worker/datasets/_container.tpl @@ -11,0 +12,2 @@ + - name: HF_ENDPOINT + value: "{{ .Values.hfEndpoint }}" diff --git a/chart/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl index 2dc9efd7..6fc1eb00 100644 --- a/chart/templates/worker/first-rows/_container.tpl +++ b/chart/templates/worker/first-rows/_container.tpl @@ -11,0 +12,2 @@ + - name: HF_ENDPOINT + value: "{{ .Values.hfEndpoint }}" diff --git a/chart/templates/worker/splits-next/_container.tpl b/chart/templates/worker/splits-next/_container.tpl index a5cbf677..f46cbe16 100644 --- a/chart/templates/worker/splits-next/_container.tpl +++ b/chart/templates/worker/splits-next/_container.tpl @@ -11,0 +12,2 @@ + - name: HF_ENDPOINT + value: "{{ .Values.hfEndpoint }}" diff --git a/chart/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl index a8c0a621..dfa81798 100644 --- a/chart/templates/worker/splits/_container.tpl +++ b/chart/templates/worker/splits/_container.tpl @@ -11,0 +12,2 @@ + - name: HF_ENDPOINT + value: "{{ .Values.hfEndpoint }}" diff --git a/chart/values.yaml b/chart/values.yaml index 1d82cef2..53f8b2e8 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -36,0 +37 @@ gid: 3000 +hfEndpoint: "https://huggingface.co" @@ -93,7 +93,0 @@ api: - # External authentication URL. - # %s will be replaced with the dataset name, for example: - # "https://huggingface.co/api/datasets/%s/auth-check" - # The authentication service must follow the specification in - # https://nginx.org/en/docs/http/ngx_http_auth_request_module.html - # and return 200, 401 or 403 - externalAuthUrl: "https://huggingface.co/api/datasets/%s/auth-check" diff --git a/e2e/Makefile b/e2e/Makefile index 8b4921d4..24545275 100644 --- a/e2e/Makefile +++ b/e2e/Makefile @@ -2,3 +2,3 @@ -export SERVICE_ADMIN_PORT := 9081 -export SERVICE_API_PORT := 9080 -export SERVICE_REVERSE_PROXY_PORT := 9000 +export PORT_ADMIN := 9081 +export PORT_API := 9080 +export PORT_REVERSE_PROXY := 9000 @@ -8 +8,2 @@ export TEST_COMPOSE_PROJECT_NAME := e2e -export TEST_EXTERNAL_AUTH_URL := https://huggingface.co/api/datasets/%s/auth-check +export TEST_HF_ENDPOINT := https://hub-ci.huggingface.co +export TEST_HF_TOKEN := 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 diff --git a/e2e/poetry.lock b/e2e/poetry.lock index c2d2a593..fdaaff38 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -117,0 +118,12 @@ pipenv = ["pipenv"] +[[package]] +name = "filelock" +version = "3.7.1" +description = "A platform independent file lock." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.extras] +docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"] +testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"] + @@ -152,0 +165,25 @@ gitdb = ">=4.0.1,<5" +[[package]] +name = "huggingface-hub" +version = "0.8.1" +description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" +category = "dev" +optional = false +python-versions = ">=3.7.0" + +[package.dependencies] +filelock = "*" +packaging = ">=20.9" +pyyaml = ">=5.1" +requests = "*" +tqdm = "*" +typing-extensions = ">=3.7.4.3" + +[package.extras] +torch = ["torch"] +testing = ["soundfile", "datasets", "pytest-cov", "pytest"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +quality = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)"] +fastai = ["fastcore (>=1.3.27)", "fastai (>=2.4)", "toml"] +dev = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] +all = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] + @@ -415,0 +453,17 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +[[package]] +name = "tqdm" +version = "4.64.0" +description = "Fast, Extensible Progress Meter" +category = "dev" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +dev = ["py-make (>=0.1.0)", "twine", "wheel"] +notebook = ["ipywidgets (>=6)"] +slack = ["slack-sdk"] +telegram = ["requests"] + @@ -448 +502 @@ python-versions = "3.9.6" -content-hash = "80c60cfd17a80b1ce3e802e31e48f3bebd23439d08daaf18a2c6a1bb56f8b5f7" +content-hash = "6d69ff2d0da11c31836f90cb10a1d45aa72c79e5c69172b4165531745c0d6dd5" @@ -507,0 +562,4 @@ dparse = [ +filelock = [ + {file = "filelock-3.7.1-py3-none-any.whl", hash = "sha256:37def7b658813cda163b56fc564cdc75e86d338246458c4c28ae84cabefa2404"}, + {file = "filelock-3.7.1.tar.gz", hash = "sha256:3a0fd85166ad9dbab54c9aec96737b744106dc5f15c0b09a6744a445299fcf04"}, +] @@ -519,0 +578 @@ gitpython = [ +huggingface-hub = [] @@ -670,0 +730,4 @@ tomlkit = [ +tqdm = [ + {file = "tqdm-4.64.0-py2.py3-none-any.whl", hash = "sha256:74a2cdefe14d11442cedf3ba4e21a3b84ff9a2dbdc6cfae2c34addb2a14a5ea6"}, + {file = "tqdm-4.64.0.tar.gz", hash = "sha256:40be55d30e200777a307a7585aee69e4eabb46b4ec6a4b4a5f2d9f11e7d5408d"}, +] diff --git a/e2e/pyproject.toml b/e2e/pyproject.toml index 95065aa5..89e4f273 100644 --- a/e2e/pyproject.toml +++ b/e2e/pyproject.toml @@ -16,0 +17 @@ flake8 = "^3.9.2" +huggingface-hub = "^0.8.1" diff --git a/e2e/tests/conftest.py b/e2e/tests/conftest.py index 7684382d..79e22f1e 100644 --- a/e2e/tests/conftest.py +++ b/e2e/tests/conftest.py @@ -3 +3,4 @@ import pytest -from .utils import URL, poll +from .utils import poll + +# Import fixture modules as plugins +pytest_plugins = ["tests.fixtures.files", "tests.fixtures.hub"] @@ -8,3 +11,3 @@ def ensure_services_are_up() -> None: - assert poll(f"{URL}/", expected_code=404).status_code == 404 - assert poll(f"{URL}/healthcheck").status_code == 200 - assert poll(f"{URL}/admin/healthcheck").status_code == 200 + assert poll("/", expected_code=404).status_code == 404 + assert poll("/healthcheck").status_code == 200 + assert poll("/admin/healthcheck").status_code == 200 diff --git a/e2e/tests/fixtures/__init__.py b/e2e/tests/fixtures/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/e2e/tests/fixtures/files.py b/e2e/tests/fixtures/files.py new file mode 100644 index 00000000..f5151447 --- /dev/null +++ b/e2e/tests/fixtures/files.py @@ -0,0 +1,21 @@ +import csv + +import pytest + +DATA = [ + {"col_1": "0", "col_2": 0, "col_3": 0.0}, + {"col_1": "1", "col_2": 1, "col_3": 1.0}, + {"col_1": "2", "col_2": 2, "col_3": 2.0}, + {"col_1": "3", "col_2": 3, "col_3": 3.0}, +] + + [email protected](scope="session") +def csv_path(tmp_path_factory): + path = str(tmp_path_factory.mktemp("data") / "dataset.csv") + with open(path, "w", newline="") as f: + writer = csv.DictWriter(f, fieldnames=["col_1", "col_2", "col_3"]) + writer.writeheader() + for item in DATA: + writer.writerow(item) + return path diff --git a/e2e/tests/fixtures/hub.py b/e2e/tests/fixtures/hub.py new file mode 100644 index 00000000..5367280e --- /dev/null +++ b/e2e/tests/fixtures/hub.py @@ -0,0 +1,225 @@ +# Adapted from https://github.com/huggingface/datasets/blob/main/tests/fixtures/hub.py + +import time +from contextlib import contextmanager, suppress +from typing import Dict, Iterable, Literal, Optional, TypedDict + +import pytest +import requests +from huggingface_hub.hf_api import ( # type: ignore + REPO_TYPES, + REPO_TYPES_URL_PREFIXES, + HfApi, + HfFolder, + _raise_for_status, +) + +CI_HUB_USER = "__DUMMY_TRANSFORMERS_USER__" +CI_HUB_USER_TOKEN = "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" + +CI_HUB_ENDPOINT = "https://hub-ci.huggingface.co" +CI_HUB_DATASETS_URL = CI_HUB_ENDPOINT + "/datasets/{repo_id}/resolve/{revision}/{path}" + + +def update_repo_settings( + hf_api: HfApi, + repo_id: str, + *, + private: Optional[bool] = None, + gated: Optional[bool] = None, + token: Optional[str] = None, + organization: Optional[str] = None, + repo_type: Optional[str] = None, + name: str = None, +) -> Dict[str, bool]: + """Update the settings of a repository. + Args: + repo_id (`str`, *optional*): + A namespace (user or an organization) and a repo name separated + by a `/`. + <Tip> + Version added: 0.5 + </Tip> + private (`bool`, *optional*, defaults to `None`): + Whether the repo should be private. + gated (`bool`, *optional*, defaults to `None`): + Whether the repo should request user access. + token (`str`, *optional*): + An authentication token (See https://huggingface.co/settings/token) + repo_type (`str`, *optional*): + Set to `"dataset"` or `"space"` if uploading to a dataset or + space, `None` or `"model"` if uploading to a model. Default is + `None`. + Returns: + The HTTP response in json. + <Tip> + Raises the following errors: + - [`~huggingface_hub.utils.RepositoryNotFoundError`] + If the repository to download from cannot be found. This may be because it doesn't exist, + or because it is set to `private` and you do not have access. + </Tip> + """ + if repo_type not in REPO_TYPES: + raise ValueError("Invalid repo type") + + organization, name = repo_id.split("/") if "/" in repo_id else (None, repo_id) + + token, name = hf_api._validate_or_retrieve_token(token, name, function_name="update_repo_settings") + + if organization is None: + namespace = hf_api.whoami(token)["name"] + else: + namespace = organization + + path_prefix = f"{hf_api.endpoint}/api/" + if repo_type in REPO_TYPES_URL_PREFIXES: + path_prefix += REPO_TYPES_URL_PREFIXES[repo_type] + + path = f"{path_prefix}{namespace}/{name}/settings" + + json = {} + if private is not None: + json["private"] = private + if gated is not None: + json["gated"] = gated + + r = requests.put( + path, + headers={"authorization": f"Bearer {token}"}, + json=json, + ) + _raise_for_status(r) + return r.json() + + [email protected] +def set_ci_hub_access_token() -> Iterable[None]: + _api = HfApi(endpoint=CI_HUB_ENDPOINT) + _api.set_access_token(CI_HUB_USER_TOKEN) + HfFolder.save_token(CI_HUB_USER_TOKEN) + yield + HfFolder.delete_token() + _api.unset_access_token() + + [email protected](scope="session") +def hf_api(): + return HfApi(endpoint=CI_HUB_ENDPOINT) + + [email protected](scope="session") +def hf_token(hf_api: HfApi) -> Iterable[str]: + hf_api.set_access_token(CI_HUB_USER_TOKEN) + HfFolder.save_token(CI_HUB_USER_TOKEN) + yield CI_HUB_USER_TOKEN + with suppress(requests.exceptions.HTTPError): + hf_api.unset_access_token() + + [email protected] +def cleanup_repo(hf_api: HfApi): + def _cleanup_repo(repo_id): + hf_api.delete_repo(repo_id=repo_id, token=CI_HUB_USER_TOKEN, repo_type="dataset") + + return _cleanup_repo + + [email protected] +def temporary_repo(cleanup_repo): + @contextmanager + def _temporary_repo(repo_id): + try: + yield repo_id + finally: + cleanup_repo(repo_id) + + return _temporary_repo + + +def create_unique_repo_name(prefix: str, user: str) -> str: + repo_name = f"{prefix}-{int(time.time() * 10e3)}" + return f"{user}/{repo_name}" + + +def create_hf_dataset_repo_csv_data( + hf_api: HfApi, hf_token: str, csv_path: str, *, private=False, gated=False, user=CI_HUB_USER +) -> str: + repo_id = create_unique_repo_name("repo_csv_data", user) + hf_api.create_repo(repo_id=repo_id, token=hf_token, repo_type="dataset", private=private) + hf_api.upload_file( + token=hf_token, + path_or_fileobj=csv_path, + path_in_repo="data/csv_data.csv", + repo_id=repo_id, + repo_type="dataset", + ) + if gated: + update_repo_settings(hf_api, repo_id, token=hf_token, gated=gated, repo_type="dataset") + return repo_id + + +# https://docs.pytest.org/en/6.2.x/fixture.html#yield-fixtures-recommended [email protected](scope="session", autouse=True) +def hf_public_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hf_public_2_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hf_private_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path, private=True) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + [email protected](scope="session", autouse=True) +def hf_gated_dataset_repo_csv_data(hf_api: HfApi, hf_token: str, csv_path: str) -> Iterable[str]: + repo_id = create_hf_dataset_repo_csv_data(hf_api=hf_api, hf_token=hf_token, csv_path=csv_path, gated=True) + yield repo_id + with suppress(requests.exceptions.HTTPError, ValueError): + hf_api.delete_repo(repo_id=repo_id, token=hf_token, repo_type="dataset") + + +class DatasetRepos(TypedDict): + public: str + public2: str + private: str + gated: str + + +DatasetReposType = Literal["public", "public2", "private", "gated"] + + [email protected](scope="session", autouse=True) +def hf_dataset_repos_csv_data( + hf_public_dataset_repo_csv_data, + hf_public_2_dataset_repo_csv_data, + hf_private_dataset_repo_csv_data, + hf_gated_dataset_repo_csv_data, +) -> DatasetRepos: + return { + "public": hf_public_dataset_repo_csv_data, + "public2": hf_public_2_dataset_repo_csv_data, + "private": hf_private_dataset_repo_csv_data, + "gated": hf_gated_dataset_repo_csv_data, + } + + +AuthType = Literal["token", "none"] +AuthHeaders = Dict[AuthType, Dict[str, str]] + + [email protected](autouse=True, scope="session") +def auth_headers() -> AuthHeaders: + return {"none": {}, "token": {"Authorization": f"Bearer {CI_HUB_USER_TOKEN}"}} diff --git a/e2e/tests/test_10_healthcheck.py b/e2e/tests/test_10_healthcheck.py index 094fe792..f69d3b79 100644 --- a/e2e/tests/test_10_healthcheck.py +++ b/e2e/tests/test_10_healthcheck.py @@ -1 +1 @@ -from .utils import URL, poll +from .utils import poll @@ -6 +6 @@ def test_healthcheck(): - response = poll(f"{URL}/healthcheck") + response = poll("/healthcheck") diff --git a/e2e/tests/test_20_splits_and_rows.py b/e2e/tests/test_20_splits_and_rows.py index dc55326c..137356e0 100644 --- a/e2e/tests/test_20_splits_and_rows.py +++ b/e2e/tests/test_20_splits_and_rows.py @@ -1,2 +1 @@ -import requests - +from .fixtures.hub import DatasetRepos @@ -5 +4,2 @@ from .utils import ( - URL, + get, + get_default_config_split, @@ -7,0 +8 @@ from .utils import ( + post, @@ -13,10 +13,0 @@ from .utils import ( -def test_get_dataset(): - dataset = "acronym_identification" - config = "default" - split = "train" - - r_splits, r_rows = refresh_poll_splits_rows(dataset, config, split) - assert r_splits.json()["splits"][0]["split"] == "train", r_splits.text - assert r_rows.json()["rows"][0]["row"]["id"] == "TR-0", r_splits.text - - @@ -24 +15 @@ def test_get_dataset(): -def test_bug_empty_split(): +def test_bug_empty_split(hf_dataset_repos_csv_data: DatasetRepos): @@ -32,3 +23,2 @@ def test_bug_empty_split(): - dataset = "nielsr/CelebA-faces" - config = "nielsr--CelebA-faces" - split = "train" + + dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data["public2"]) @@ -45,2 +35 @@ def test_bug_empty_split(): - url = f"{URL}/rows?dataset={dataset}&config={config}&split={split}" - response = requests.get(url) + response = get(f"/rows?dataset={dataset}&config={config}&split={split}") @@ -52 +41 @@ def test_bug_empty_split(): - response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) + response = post("/webhook", json={"update": f"datasets/{dataset}"}) @@ -65,0 +55,8 @@ def test_bug_empty_split(): +def test_get_dataset(hf_dataset_repos_csv_data: DatasetRepos): + dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data["public2"]) + + r_splits, r_rows = refresh_poll_splits_rows(dataset, config, split) + assert r_splits.json()["splits"][0]["split"] == "train", r_splits.text + assert r_rows.json()["rows"][0]["row"]["col_1"] == 0, r_splits.text + + diff --git a/e2e/tests/test_30_auth.py b/e2e/tests/test_30_auth.py new file mode 100644 index 00000000..947c13b7 --- /dev/null +++ b/e2e/tests/test_30_auth.py @@ -0,0 +1,59 @@ +import pytest + +from .fixtures.hub import AuthHeaders, AuthType, DatasetRepos, DatasetReposType +from .utils import ( + Response, + get, + get_default_config_split, + poll_first_rows, + refresh_poll_splits_next, +) + + +def log(response: Response, dataset: str) -> str: + dataset, config, split = get_default_config_split(dataset) + return f"{response.status_code} - {response.text} - {dataset} - {config} - {split}" + + [email protected]( + "type,auth,status_code,error_code_splits_next,error_code_first_rows", + [ + ("public", "none", 200, None, None), + ("public", "token", 200, None, None), + ("public", "cookie", 200, None, None), + ("gated", "none", 401, "ExternalUnauthenticatedError", "ExternalUnauthenticatedError"), + ("gated", "token", 200, None, None), + ("gated", "cookie", 200, None, None), + ("private", "none", 401, "ExternalUnauthenticatedError", "ExternalUnauthenticatedError"), + ("private", "token", 404, "SplitsResponseNotFound", "FirstRowsResponseNotFound"), + ("private", "cookie", 404, "SplitsResponseNotFound", "FirstRowsResponseNotFound"), + ], +) +def test_splits_next_public_auth( + auth_headers: AuthHeaders, + hf_dataset_repos_csv_data: DatasetRepos, + type: DatasetReposType, + auth: AuthType, + status_code: int, + error_code_splits_next: str, + error_code_first_rows: str, +) -> None: + if auth not in auth_headers: + # ignore the test case if the auth type is not configured + pytest.skip(f"auth {auth} has not been configured") + dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data[type]) + if type == "private": + # no need to refresh, it's not implemented. + # TODO: the webhook should respond 501 Not implemented when provided with a private dataset + # (and delete the cache if existing) + r_splits = get(f"/splits-next?dataset={dataset}", headers=auth_headers[auth]) + r_rows = get(f"/first-rows?dataset={dataset}&config={config}&split={split}", headers=auth_headers[auth]) + else: + r_splits = refresh_poll_splits_next(dataset, headers=auth_headers[auth]) + r_rows = poll_first_rows(dataset, config, split, headers=auth_headers[auth]) + + assert r_splits.status_code == status_code, log(r_rows, dataset) + assert r_rows.status_code == status_code, log(r_rows, dataset) + + assert r_splits.headers.get("X-Error-Code") == error_code_splits_next, log(r_rows, dataset) + assert r_rows.headers.get("X-Error-Code") == error_code_first_rows, log(r_rows, dataset) diff --git a/e2e/tests/test_30_splits_next_and_first_rows.py b/e2e/tests/test_30_splits_next_and_first_rows.py deleted file mode 100644 index 4ad01125..00000000 --- a/e2e/tests/test_30_splits_next_and_first_rows.py +++ /dev/null @@ -1,55 +0,0 @@ -from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_next_first_rows - - -def test_get_dataset_next(): - dataset = "acronym_identification" - config = "default" - split = "train" - - r_splits, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) - assert r_splits.json()["splits"][0]["split_name"] == "train", f"{r_splits.status_code} - {r_splits.text}" - - assert r_rows.status_code == 200, f"{r_rows.status_code} - {r_rows.text}" - json = r_rows.json() - assert "features" in json, json - assert json["features"][0]["name"] == "id", json - assert json["features"][0]["type"]["_type"] == "Value", json - assert json["features"][0]["type"]["dtype"] == "string", json - assert json["features"][2]["name"] == "labels", json - assert json["features"][2]["type"]["_type"] == "Sequence", json - assert json["features"][2]["type"]["feature"]["_type"] == "ClassLabel", json - assert json["features"][2]["type"]["feature"]["num_classes"] == 5, json - assert "rows" in json - assert len(json["rows"]) == ROWS_MAX_NUMBER, json["rows"] - assert json["rows"][0]["row"]["id"] == "TR-0", json["rows"] - assert type(json["rows"][0]["row"]["labels"]) is list, json["rows"] - assert len(json["rows"][0]["row"]["labels"]) == 18, json["rows"] - assert json["rows"][0]["row"]["labels"][0] == 4, json["rows"] - - -# TODO: find a dataset that can be processed faster -def test_png_image_next(): - # this test ensures that an image is saved as PNG if it cannot be saved as PNG - # https://github.com/huggingface/datasets-server/issues/191 - dataset = "wikimedia/wit_base" - config = "wikimedia--wit_base" - split = "train" - - _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) - - assert r_rows.status_code == 200, f"{r_rows.status_code} - {r_rows.text}" - json = r_rows.json() - - assert "features" in json, json - assert json["features"][0]["name"] == "image", json - assert json["features"][0]["type"]["_type"] == "Image", json - assert ( - json["rows"][0]["row"]["image"] - == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" - ), json - - # assert ( - # json["rows"][20]["row"]["image"] - # == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" - # ) - # ^only four rows for now diff --git a/e2e/tests/test_40_splits_next.py b/e2e/tests/test_40_splits_next.py index f32334e6..35f75eb9 100644 --- a/e2e/tests/test_40_splits_next.py +++ b/e2e/tests/test_40_splits_next.py @@ -2 +1,0 @@ import pytest -import requests @@ -5 +4 @@ from .utils import ( - URL, + get, @@ -16,2 +15,2 @@ from .utils import ( - (200, "duorc", "duorc", None), - (200, "emotion", "emotion", None), + # (200, "duorc", "duorc", None), + # (200, "emotion", "emotion", None), @@ -24,12 +23,12 @@ from .utils import ( - ( - 401, - "gated-dataset", - "severo/dummy_gated", - "ExternalUnauthenticatedError", - ), - ( - 401, - "private-dataset", - "severo/dummy_private", - "ExternalUnauthenticatedError", - ), + # ( + # 401, + # "gated-dataset", + # "severo/dummy_gated", + # "ExternalUnauthenticatedError", + # ), + # ( + # 401, + # "private-dataset", + # "severo/dummy_private", + # "ExternalUnauthenticatedError", + # ), @@ -38,3 +37,3 @@ from .utils import ( - (500, "SplitsNotFoundError", "natural_questions", "SplitsNamesError"), - (500, "FileNotFoundError", "akhaliq/test", "SplitsNamesError"), - (500, "not-ready", "severo/fix-401", "SplitsResponseNotReady"), + # (500, "SplitsNotFoundError", "natural_questions", "SplitsNamesError"), + # (500, "FileNotFoundError", "akhaliq/test", "SplitsNamesError"), + # (500, "not-ready", "severo/fix-401", "SplitsResponseNotReady"), @@ -48 +47 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - r_splits = poll(f"{URL}/splits-next?dataset=", error_field="error") + r_splits = poll("/splits-next?dataset=", error_field="error") @@ -50 +49 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - r_splits = poll(f"{URL}/splits-next", error_field="error") + r_splits = poll("/splits-next", error_field="error") @@ -54 +53 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - r_splits = requests.get(f"{URL}/splits-next?dataset={dataset}") + r_splits = get(f"/splits-next?dataset={dataset}") diff --git a/e2e/tests/test_50_first_rows.py b/e2e/tests/test_50_first_rows.py index c8705146..3b8d9103 100644 --- a/e2e/tests/test_50_first_rows.py +++ b/e2e/tests/test_50_first_rows.py @@ -8,0 +9 @@ from .utils import ( + get, @@ -23,3 +24,3 @@ def prepare_json(response: requests.Response) -> Any: - (200, "imdb", "imdb", "plain_text", "train", None), - (200, "truncated", "ett", "m2", "test", None), - (200, "image", "huggan/horse2zebra", "huggan--horse2zebra-aligned", "train", None), + # (200, "imdb", "imdb", "plain_text", "train", None), + # (200, "truncated", "ett", "m2", "test", None), + # (200, "image", "huggan/horse2zebra", "huggan--horse2zebra-aligned", "train", None), @@ -36,18 +37,18 @@ def prepare_json(response: requests.Response) -> Any: - ( - 401, - "gated-dataset", - "severo/dummy_gated", - "severo--embellishments", - "train", - "ExternalUnauthenticatedError", - ), - ( - 401, - "private-dataset", - "severo/dummy_private", - "severo--embellishments", - "train", - "ExternalUnauthenticatedError", - ), - (404, "inexistent-config", "imdb", "inexistent-config", "train", "FirstRowsResponseNotFound"), - (404, "inexistent-split", "imdb", "plain_text", "inexistent-split", "FirstRowsResponseNotFound"), + # ( + # 401, + # "gated-dataset", + # "severo/dummy_gated", + # "severo--embellishments", + # "train", + # "ExternalUnauthenticatedError", + # ), + # ( + # 401, + # "private-dataset", + # "severo/dummy_private", + # "severo--embellishments", + # "train", + # "ExternalUnauthenticatedError", + # ), + # (404, "inexistent-config", "imdb", "inexistent-config", "train", "FirstRowsResponseNotFound"), + # (404, "inexistent-split", "imdb", "plain_text", "inexistent-split", "FirstRowsResponseNotFound"), @@ -60,3 +61,3 @@ def prepare_json(response: requests.Response) -> Any: - (500, "NonMatchingCheckError", "ar_cov19", "ar_cov19", "train", "NormalRowsError"), - (500, "FileNotFoundError", "atomic", "atomic", "train", "NormalRowsError"), - (500, "not-ready", "anli", "plain_text", "train_r1", "FirstRowsResponseNotReady"), + # (500, "NonMatchingCheckError", "ar_cov19", "ar_cov19", "train", "NormalRowsError"), + # (500, "FileNotFoundError", "atomic", "atomic", "train", "NormalRowsError"), + # (500, "not-ready", "anli", "plain_text", "train_r1", "FirstRowsResponseNotReady"), @@ -78 +79 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - r_rows = poll(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}", error_field="error") + r_rows = poll(f"/first-rows?dataset={dataset}&config={config}&split={split}", error_field="error") @@ -84 +85 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - r_rows = poll(f"{URL}/first-rows?{params}", error_field="error") + r_rows = poll(f"/first-rows?{params}", error_field="error") @@ -88 +89 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - r_rows = requests.get(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}") + r_rows = get(f"/first-rows?dataset={dataset}&config={config}&split={split}") @@ -92 +93 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - r_rows = requests.get(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}") + r_rows = get(f"/first-rows?dataset={dataset}&config={config}&split={split}") @@ -101,0 +103,30 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st + + +# from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_next_first_rows + +# # TODO: find a dataset that can be processed faster +# def test_png_image_next(): +# # this test ensures that an image is saved as PNG if it cannot be saved as PNG +# # https://github.com/huggingface/datasets-server/issues/191 +# dataset = "wikimedia/wit_base" +# config = "wikimedia--wit_base" +# split = "train" + +# _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) + +# assert r_rows.status_code == 200, f"{r_rows.status_code} - {r_rows.text}" +# json = r_rows.json() + +# assert "features" in json, json +# assert json["features"][0]["name"] == "image", json +# assert json["features"][0]["type"]["_type"] == "Image", json +# assert ( +# json["rows"][0]["row"]["image"] +# == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" +# ), json + +# # assert ( +# # json["rows"][20]["row"]["image"] +# # == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" +# # ) +# # ^only four rows for now diff --git a/e2e/tests/test_60_valid.py b/e2e/tests/test_60_valid.py index 964cb393..b5e69662 100644 --- a/e2e/tests/test_60_valid.py +++ b/e2e/tests/test_60_valid.py @@ -1 +1,2 @@ -import requests +from .fixtures.hub import DatasetRepos +from .utils import get @@ -3 +3,0 @@ import requests -from .utils import URL @@ -5,2 +5 @@ from .utils import URL - -def test_valid_after_datasets_processed(): +def test_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos): @@ -8 +7 @@ def test_valid_after_datasets_processed(): - response = requests.get(f"{URL}/valid") + response = get("/valid") @@ -11,2 +10,4 @@ def test_valid_after_datasets_processed(): - assert "acronym_identification" in response.json()["valid"], response.text - assert "nielsr/CelebA-faces" in response.json()["valid"], response.text + valid = response.json()["valid"] + assert hf_dataset_repos_csv_data["public"] in valid, response.text + assert hf_dataset_repos_csv_data["gated"] in valid, response.text + assert hf_dataset_repos_csv_data["private"] not in valid, response.text diff --git a/e2e/tests/test_70_is_valid.py b/e2e/tests/test_70_is_valid.py index 52d6d068..e5df7801 100644 --- a/e2e/tests/test_70_is_valid.py +++ b/e2e/tests/test_70_is_valid.py @@ -1 +1,2 @@ -import requests +from .fixtures.hub import DatasetRepos +from .utils import get @@ -3 +3,0 @@ import requests -from .utils import URL @@ -5,2 +5 @@ from .utils import URL - -def test_is_valid_after_datasets_processed(): +def test_is_valid_after_datasets_processed(hf_dataset_repos_csv_data: DatasetRepos): @@ -8 +7 @@ def test_is_valid_after_datasets_processed(): - response = requests.get(f"{URL}/is-valid") + response = get("/is-valid") @@ -11 +10,2 @@ def test_is_valid_after_datasets_processed(): - response = requests.get(f"{URL}/is-valid?dataset=acronym_identification") + public = hf_dataset_repos_csv_data["public"] + response = get(f"/is-valid?dataset={public}") @@ -15 +15 @@ def test_is_valid_after_datasets_processed(): - response = requests.get(f"{URL}/is-valid?dataset=non-existing-dataset") + response = get("/is-valid?dataset=non-existing-dataset") diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py index 707ed938..bae916c3 100644 --- a/e2e/tests/utils.py +++ b/e2e/tests/utils.py @@ -5 +5 @@ from os.path import dirname, join -from typing import Optional, Tuple +from typing import Any, Dict, Optional, Tuple @@ -7,0 +8 @@ import requests +from requests import Response @@ -9 +10 @@ import requests -SERVICE_REVERSE_PROXY_PORT = os.environ.get("SERVICE_REVERSE_PROXY_PORT", "8000") +PORT_REVERSE_PROXY = os.environ.get("PORT_REVERSE_PROXY", "8000") @@ -13 +14 @@ MAX_DURATION = 10 * 60 -URL = f"http://localhost:{SERVICE_REVERSE_PROXY_PORT}" +URL = f"http://localhost:{PORT_REVERSE_PROXY}" @@ -14,0 +16 @@ URL = f"http://localhost:{SERVICE_REVERSE_PROXY_PORT}" +Headers = Dict[str, str] @@ -16 +18,18 @@ URL = f"http://localhost:{SERVICE_REVERSE_PROXY_PORT}" -def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[int] = 200) -> requests.Response: + +def get(relative_url: str, headers: Headers = None) -> Response: + if headers is None: + headers = {} + return requests.get(f"{URL}{relative_url}", headers=headers) + + +def post(relative_url: str, json: Optional[Any] = None, headers: Headers = None) -> Response: + if headers is None: + headers = {} + return requests.post(f"{URL}{relative_url}", json=json, headers=headers) + + +def poll( + relative_url: str, error_field: Optional[str] = None, expected_code: Optional[int] = 200, headers: Headers = None +) -> Response: + if headers is None: + headers = {} @@ -25 +44 @@ def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[in - response = requests.get(url) + response = get(relative_url, headers) @@ -40,2 +59,4 @@ def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[in -def post_refresh(dataset: str) -> requests.Response: - return requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) +def post_refresh(dataset: str, headers: Headers = None) -> Response: + if headers is None: + headers = {} + return post("/webhook", json={"update": f"datasets/{dataset}"}, headers=headers) @@ -44,2 +65,2 @@ def post_refresh(dataset: str) -> requests.Response: -def poll_splits(dataset: str) -> requests.Response: - return poll(f"{URL}/splits?dataset={dataset}", error_field="message") +def poll_splits(dataset: str, headers: Headers = None) -> Response: + return poll(f"/splits?dataset={dataset}", error_field="message", headers=headers) @@ -48,2 +69,2 @@ def poll_splits(dataset: str) -> requests.Response: -def poll_rows(dataset: str, config: str, split: str) -> requests.Response: - return poll(f"{URL}/rows?dataset={dataset}&config={config}&split={split}", error_field="message") +def poll_rows(dataset: str, config: str, split: str, headers: Headers = None) -> Response: + return poll(f"/rows?dataset={dataset}&config={config}&split={split}", error_field="message", headers=headers) @@ -52 +73,3 @@ def poll_rows(dataset: str, config: str, split: str) -> requests.Response: -def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[requests.Response, requests.Response]: +def refresh_poll_splits_rows( + dataset: str, config: str, split: str, headers: Headers = None +) -> Tuple[Response, Response]: @@ -54 +77 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req - response = post_refresh(dataset) + response = post_refresh(dataset, headers=headers) @@ -58 +81 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req - response_splits = poll_splits(dataset) + response_splits = poll_splits(dataset, headers=headers) @@ -62 +85 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req - response_rows = poll_rows(dataset, config, split) + response_rows = poll_rows(dataset, config, split, headers=headers) @@ -68,2 +91,2 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req -def poll_splits_next(dataset: str) -> requests.Response: - return poll(f"{URL}/splits-next?dataset={dataset}", error_field="error") +def poll_splits_next(dataset: str, headers: Headers = None) -> Response: + return poll(f"/splits-next?dataset={dataset}", error_field="error", headers=headers) @@ -72,2 +95,2 @@ def poll_splits_next(dataset: str) -> requests.Response: -def poll_first_rows(dataset: str, config: str, split: str) -> requests.Response: - return poll(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}", error_field="error") +def poll_first_rows(dataset: str, config: str, split: str, headers: Headers = None) -> Response: + return poll(f"/first-rows?dataset={dataset}&config={config}&split={split}", error_field="error", headers=headers) @@ -76 +99 @@ def poll_first_rows(dataset: str, config: str, split: str) -> requests.Response: -def refresh_poll_splits_next(dataset: str) -> requests.Response: +def refresh_poll_splits_next(dataset: str, headers: Headers = None) -> Response: @@ -78 +101 @@ def refresh_poll_splits_next(dataset: str) -> requests.Response: - response = post_refresh(dataset) + response = post_refresh(dataset, headers=headers) @@ -82 +105 @@ def refresh_poll_splits_next(dataset: str) -> requests.Response: - return poll_splits_next(dataset) + return poll_splits_next(dataset, headers=headers) @@ -86,3 +109,3 @@ def refresh_poll_splits_next_first_rows( - dataset: str, config: str, split: str -) -> Tuple[requests.Response, requests.Response]: - response_splits = refresh_poll_splits_next(dataset) + dataset: str, config: str, split: str, headers: Headers = None +) -> Tuple[Response, Response]: + response_splits = refresh_poll_splits_next(dataset, headers=headers) @@ -91 +114 @@ def refresh_poll_splits_next_first_rows( - response_rows = poll_first_rows(dataset, config, split) + response_rows = poll_first_rows(dataset, config, split, headers=headers) @@ -103,0 +127,10 @@ def get_openapi_body_example(path, status, example_name): + + +def get_default_config_split(dataset: str) -> Tuple[str, str, str]: + config = dataset.replace("/", "--") + split = "train" + return dataset, config, split + + +# explicit re-export +__all__ = ["Response"] diff --git a/services/admin/.env.example b/services/admin/.env.example index 2ea324f0..af2b8125 100644 --- a/services/admin/.env.example +++ b/services/admin/.env.example @@ -15,0 +16,3 @@ +# URL of the HuggingFace Hub +# HF_ENDPOINT="https://huggingface.co" + diff --git a/services/admin/README.md b/services/admin/README.md index 48a75a8b..d04d4397 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -20 +19,0 @@ Set environment variables to configure the following aspects: -- `LOG_LEVEL`: log level, among `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. Defaults to `INFO`. @@ -21,0 +21,2 @@ Set environment variables to configure the following aspects: +- `HF_ENDPOINT`: URL of the HuggingFace Hub. Defaults to `https://huggingface.co`. +- `LOG_LEVEL`: log level, among `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. Defaults to `INFO`. diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 6f32ca46..02c1979e 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -390,2 +390,2 @@ name = "huggingface-hub" -version = "0.6.0" -description = "Client library to download and publish models on the huggingface.co hub" +version = "0.8.1" +description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" @@ -399 +399 @@ packaging = ">=20.9" -pyyaml = "*" +pyyaml = ">=5.1" @@ -405,6 +404,0 @@ typing-extensions = ">=3.7.4.3" -all = ["pytest", "datasets", "soundfile", "black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -dev = ["pytest", "datasets", "soundfile", "black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -fastai = ["toml", "fastai (>=2.4)", "fastcore (>=1.3.27)"] -quality = ["black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -tensorflow = ["tensorflow", "pydot", "graphviz"] -testing = ["pytest", "datasets", "soundfile"] @@ -411,0 +406,6 @@ torch = ["torch"] +testing = ["soundfile", "datasets", "pytest-cov", "pytest"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +quality = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)"] +fastai = ["fastcore (>=1.3.27)", "fastai (>=2.4)", "toml"] +dev = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] +all = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] @@ -1201 +1201 @@ python-versions = "3.9.6" -content-hash = "50eec29af5cd07edda31342cf6e0621dfb3203a02cb522247f3aa2f20da5000f" +content-hash = "74e577b2d1902d87de00736c6455c5be4f1c788fd1c81c4f37b901aa935f190f" @@ -1450,4 +1450 @@ h11 = [ -huggingface-hub = [ - {file = "huggingface_hub-0.6.0-py3-none-any.whl", hash = "sha256:585d72adade562a1f7038acf39eb7677b7649bdc0ce082b70f99e01164d9d8b5"}, - {file = "huggingface_hub-0.6.0.tar.gz", hash = "sha256:f5109065222185d129933d44159e483a9e3378c577127d0281e4c921dfadbd23"}, -] +huggingface-hub = [] diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index d59f61b7..4023a485 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -8 +8 @@ version = "0.1.2" -huggingface-hub = "^0.6.0" +huggingface-hub = "^0.8.1" diff --git a/services/admin/src/admin/config.py b/services/admin/src/admin/config.py index f0592808..e685b1fd 100644 --- a/services/admin/src/admin/config.py +++ b/services/admin/src/admin/config.py @@ -11,0 +12 @@ from admin.constants import ( + DEFAULT_HF_ENDPOINT, @@ -28,0 +30 @@ CACHE_REPORTS_NUM_RESULTS = get_int_value( +HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ENDPOINT) diff --git a/services/admin/src/admin/constants.py b/services/admin/src/admin/constants.py index e41c63f9..cb2a8c52 100644 --- a/services/admin/src/admin/constants.py +++ b/services/admin/src/admin/constants.py @@ -5,0 +6 @@ DEFAULT_CACHE_REPORTS_NUM_RESULTS: int = 100 +DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index 1f931b80..71fb7ed2 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -4 +4 @@ from typing import List -from huggingface_hub import list_datasets # type: ignore +from huggingface_hub.hf_api import HfApi # type: ignore @@ -8 +8 @@ from libutils.logger import init_logger -from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL +from admin.config import HF_ENDPOINT, LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL @@ -12 +12 @@ def get_hf_dataset_names(): - return [str(dataset.id) for dataset in list_datasets(full=False)] + return [str(dataset.id) for dataset in HfApi(HF_ENDPOINT).list_datasets(full=False)] diff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py index 821caeaf..1d0ffcb1 100644 --- a/services/admin/src/admin/scripts/refresh_cache_canonical.py +++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py @@ -3 +3 @@ import logging -from huggingface_hub import list_datasets # type: ignore +from huggingface_hub.hf_api import HfApi # type: ignore @@ -6 +6 @@ from libutils.logger import init_logger -from admin.config import LOG_LEVEL +from admin.config import HF_ENDPOINT, LOG_LEVEL @@ -11 +11 @@ def get_hf_canonical_dataset_names(): - return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find("/") == -1] + return [str(dataset.id) for dataset in HfApi(HF_ENDPOINT).list_datasets(full=False) if dataset.id.find("/") == -1] diff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py index d0e2e127..aa1d6e83 100644 --- a/services/admin/src/admin/scripts/warm_cache.py +++ b/services/admin/src/admin/scripts/warm_cache.py @@ -4 +4 @@ from typing import List -from huggingface_hub import list_datasets # type: ignore +from huggingface_hub.hf_api import HfApi # type: ignore @@ -13,0 +14 @@ from admin.config import ( + HF_ENDPOINT, @@ -22 +23 @@ def get_hf_dataset_names(): - return [str(dataset.id) for dataset in list_datasets(full=False)] + return [str(dataset.id) for dataset in HfApi(HF_ENDPOINT).list_datasets(full=False)] diff --git a/services/api/.env.example b/services/api/.env.example index 85e64b49..5b4cda96 100644 --- a/services/api/.env.example +++ b/services/api/.env.example @@ -13,3 +13,2 @@ -# External authentication URL. -# %s will be replaced with the dataset name, for example: -# "https://huggingface.co/api/datasets/%s/auth-check" +# External authentication path. +# %s will be replaced with the dataset name @@ -19 +18,4 @@ -# EXTERNAL_AUTH_URL= +# HF_AUTH_PATH="/api/datasets/%s/auth-check" + +# URL of the HuggingFace Hub +# HF_ENDPOINT="https://huggingface.co" diff --git a/services/api/README.md b/services/api/README.md index f4ffe6c9..da97c811 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -23 +23,2 @@ Set environment variables to configure the following aspects: -- `EXTERNAL_AUTH_URL`: the URL of the external authentication service. The string must contain `%s` which will be replaced with the dataset name, e.g. "https://huggingface.co/api/datasets/%s/auth-check". The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. Defaults to empty, in which case the authentication is disabled. +- `HF_AUTH_PATH`: the path of the external authentication service, on the hub (see `HF_ENDPOINT`). The string must contain `%s` which will be replaced with the dataset name. The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. If empty, the authentication is disabled. Defaults to "/api/datasets/%s/auth-check". +- `HF_ENDPOINT`: URL of the HuggingFace Hub. Defaults to `https://huggingface.co`. diff --git a/services/api/poetry.lock b/services/api/poetry.lock index b3a999b6..8eee90a0 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -305,12 +304,0 @@ requests = ["requests (>=2.4.0,<3.0.0)"] -[[package]] -name = "filelock" -version = "3.7.1" -description = "A platform independent file lock." -category = "main" -optional = false -python-versions = ">=3.7" - -[package.extras] -docs = ["furo (>=2021.8.17b43)", "sphinx (>=4.1)", "sphinx-autodoc-typehints (>=1.12)"] -testing = ["covdefaults (>=1.2.0)", "coverage (>=4)", "pytest (>=4)", "pytest-cov", "pytest-timeout (>=1.4.2)"] - @@ -388,24 +375,0 @@ python-versions = ">=3.6" -[[package]] -name = "huggingface-hub" -version = "0.5.1" -description = "Client library to download and publish models on the huggingface.co hub" -category = "main" -optional = false -python-versions = ">=3.7.0" - -[package.dependencies] -filelock = "*" -packaging = ">=20.9" -pyyaml = "*" -requests = "*" -tqdm = "*" -typing-extensions = ">=3.7.4.3" - -[package.extras] -all = ["pytest", "datasets", "soundfile", "black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -dev = ["pytest", "datasets", "soundfile", "black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -quality = ["black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -tensorflow = ["tensorflow", "pydot", "graphviz"] -testing = ["pytest", "datasets", "soundfile"] -torch = ["torch"] - @@ -635 +599 @@ description = "Core utilities for Python packages" -category = "main" +category = "dev" @@ -833 +797 @@ description = "pyparsing module - Classes and methods to define and execute pars -category = "main" +category = "dev" @@ -1215 +1179 @@ python-versions = "3.9.6" -content-hash = "6a11079f50641f701c329bbaffd41c978db7594c7ee2ce690549b0aa8a648e74" +content-hash = "91aabf5e4bce2ef091ca5c8eed7ce75204ffd749e0acb29dfaf48db566a8cdf4" @@ -1437,4 +1400,0 @@ elasticsearch = [ -filelock = [ - {file = "filelock-3.7.1-py3-none-any.whl", hash = "sha256:37def7b658813cda163b56fc564cdc75e86d338246458c4c28ae84cabefa2404"}, - {file = "filelock-3.7.1.tar.gz", hash = "sha256:3a0fd85166ad9dbab54c9aec96737b744106dc5f15c0b09a6744a445299fcf04"}, -] @@ -1464,4 +1423,0 @@ h11 = [ -huggingface-hub = [ - {file = "huggingface_hub-0.5.1-py3-none-any.whl", hash = "sha256:b9fd1f567a3fb16e73acc613e78d075d1926d4b0c5c56ba08c4f125707b50c70"}, - {file = "huggingface_hub-0.5.1.tar.gz", hash = "sha256:d90d657dca0d6a577f640ff684a58da8e5c76258e485100e885a0e7307e2eb12"}, -] diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 8049e0c9..c4ddd52b 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -8 +7,0 @@ version = "0.1.3" -huggingface-hub = "^0.5.1" diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py index f1351513..8d0b6c1e 100644 --- a/services/api/src/api/config.py +++ b/services/api/src/api/config.py @@ -11 +11,2 @@ from api.constants import ( - DEFAULT_EXTERNAL_AUTH_URL, + DEFAULT_HF_AUTH_PATH, + DEFAULT_HF_ENDPOINT, @@ -27 +28,2 @@ ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key="ASSETS_DIRECTORY", d -EXTERNAL_AUTH_URL = get_str_or_none_value(d=os.environ, key="EXTERNAL_AUTH_URL", default=DEFAULT_EXTERNAL_AUTH_URL) +HF_AUTH_PATH = get_str_or_none_value(d=os.environ, key="HF_AUTH_PATH", default=DEFAULT_HF_AUTH_PATH) +HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ENDPOINT) @@ -33,0 +36,2 @@ MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_U + +EXTERNAL_AUTH_URL = None if HF_AUTH_PATH is None else f"{HF_ENDPOINT}{HF_AUTH_PATH}" diff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py index f295a6ae..3ca9ddfb 100644 --- a/services/api/src/api/constants.py +++ b/services/api/src/api/constants.py @@ -6 +6,2 @@ DEFAULT_DATASETS_ENABLE_PRIVATE: bool = False -DEFAULT_EXTERNAL_AUTH_URL: None = None +DEFAULT_HF_AUTH_PATH: str = "/api/datasets/%s/auth-check" +DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py index dbbfaf6a..21398c4e 100644 --- a/services/api/tests/conftest.py +++ b/services/api/tests/conftest.py @@ -3 +3,2 @@ import os -os.environ["EXTERNAL_AUTH_URL"] = "https://auth.check/%s" +os.environ["HF_AUTH_PATH"] = "/%s" +os.environ["HF_ENDPOINT"] = "https://fake.url" diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 37c9e178..f1d35c8b 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -32,0 +33,2 @@ from .utils import request_callback +external_auth_url = EXTERNAL_AUTH_URL or "%s" # for mypy + @@ -86 +88 @@ def test_get_is_valid(client: TestClient) -> None: - responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) @@ -126 +128 @@ def test_is_valid_auth( - responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) @@ -198 +200 @@ def test_splits_next_auth(client: TestClient, headers: Dict[str, str], status_co - responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) @@ -329 +331 @@ def test_splits_cache_refreshing(client: TestClient) -> None: - responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) @@ -350 +352 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None: - responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + responses.add_callback(responses.GET, external_auth_url % dataset, callback=request_callback) diff --git a/services/worker/.env.example b/services/worker/.env.example index 50395533..5b591c17 100644 --- a/services/worker/.env.example +++ b/services/worker/.env.example @@ -9,0 +10,3 @@ +# URL of the HuggingFace Hub +# HF_ENDPOINT="https://huggingface.co" + diff --git a/services/worker/README.md b/services/worker/README.md index dcd67028..87e028ff 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -41,0 +42 @@ Set environment variables to configure the following aspects: +- `HF_ENDPOINT`: URL of the HuggingFace Hub. Defaults to `https://huggingface.co`. diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py index e46fd111..1bafb180 100644 --- a/services/worker/src/worker/config.py +++ b/services/worker/src/worker/config.py @@ -10,0 +11 @@ from worker.constants import ( + DEFAULT_HF_ENDPOINT, @@ -34,0 +36 @@ DATASETS_REVISION = get_str_value(d=os.environ, key="DATASETS_REVISION", default +HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ENDPOINT) @@ -53,0 +56,2 @@ os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION +# Ensure the datasets library uses the expected HuggingFace endpoint +os.environ["HF_ENDPOINT"] = HF_ENDPOINT diff --git a/services/worker/src/worker/constants.py b/services/worker/src/worker/constants.py index a37866f8..0864ddd7 100644 --- a/services/worker/src/worker/constants.py +++ b/services/worker/src/worker/constants.py @@ -5,0 +6 @@ DEFAULT_DATASETS_REVISION: str = "main" +DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index b97f6237..20838f48 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -23,0 +24 @@ from worker.config import ( + HF_ENDPOINT, @@ -59 +60 @@ def process_next_splits_job() -> bool: - http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_token=HF_TOKEN) + http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_endpoint=HF_ENDPOINT, hf_token=HF_TOKEN) @@ -92,0 +94 @@ def process_next_first_rows_job() -> bool: + hf_endpoint=HF_ENDPOINT, diff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py index 8bfec024..60e8ac1d 100644 --- a/services/worker/src/worker/refresh.py +++ b/services/worker/src/worker/refresh.py @@ -26 +26 @@ logger = logging.getLogger(__name__) -def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]: +def refresh_splits(dataset_name: str, hf_endpoint: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]: @@ -28 +28 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> Tuple[H - response = get_splits_response(dataset_name, hf_token) + response = get_splits_response(dataset_name, hf_endpoint, hf_token) @@ -75,0 +76 @@ def refresh_first_rows( + hf_endpoint: str, @@ -87,0 +89 @@ def refresh_first_rows( + hf_endpoint=hf_endpoint, diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py index 956df156..746b170b 100644 --- a/services/worker/src/worker/responses/first_rows.py +++ b/services/worker/src/worker/responses/first_rows.py @@ -239,0 +240 @@ def get_first_rows_response( + hf_endpoint: str, @@ -301 +302 @@ def get_first_rows_response( - splits_response = get_splits_response(dataset_name, hf_token) + splits_response = get_splits_response(dataset_name, hf_endpoint, hf_token) diff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py index 65283d1b..c0e481bb 100644 --- a/services/worker/src/worker/responses/splits.py +++ b/services/worker/src/worker/responses/splits.py @@ -10,2 +10,2 @@ from datasets import ( -from huggingface_hub import dataset_info # type:ignore -from huggingface_hub.utils import RepositoryNotFoundError # type:ignore +from huggingface_hub.hf_api import HfApi # type: ignore +from huggingface_hub.utils import RepositoryNotFoundError # type: ignore @@ -43,0 +44 @@ def get_splits_response( + hf_endpoint: str, @@ -67 +68 @@ def get_splits_response( - # first ensure the dataset exists on the Hub + # first try to get the dataset config info @@ -69 +70 @@ def get_splits_response( - dataset_info(dataset_name, token=hf_token) + HfApi(endpoint=hf_endpoint).dataset_info(dataset_name, token=hf_token) diff --git a/services/worker/tests/_utils.py b/services/worker/tests/_utils.py index 9b96c9a2..016952be 100644 --- a/services/worker/tests/_utils.py +++ b/services/worker/tests/_utils.py @@ -5,0 +6 @@ DEFAULT_ASSETS_BASE_URL: str = "http://localhost/assets" +DEFAULT_HF_ENDPOINT: str = "https://huggingface.co" @@ -12,0 +14 @@ ASSETS_BASE_URL = get_str_value(d=os.environ, key="ASSETS_BASE_URL", default=DEF +HF_ENDPOINT = get_str_value(d=os.environ, key="HF_ENDPOINT", default=DEFAULT_HF_ENDPOINT) diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py index ddfe5254..68d73fd1 100644 --- a/services/worker/tests/conftest.py +++ b/services/worker/tests/conftest.py @@ -4,0 +5,2 @@ import pytest +from ._utils import HF_ENDPOINT + @@ -8,0 +11,3 @@ def config(): + + +os.environ["HF_ENDPOINT"] = HF_ENDPOINT diff --git a/services/worker/tests/deprecated/models/test_dataset.py b/services/worker/tests/deprecated/models/test_dataset.py index f33a89d6..6647c7ff 100644 --- a/services/worker/tests/deprecated/models/test_dataset.py +++ b/services/worker/tests/deprecated/models/test_dataset.py @@ -6 +6 @@ from worker.deprecated.models.dataset import get_dataset_split_full_names -from ..._utils import HF_TOKEN +# from ..._utils import HF_TOKEN @@ -53,8 +53,9 @@ def test_splits_fallback() -> None: -def test_gated() -> None: - split_full_names = get_dataset_split_full_names("severo/dummy_gated", HF_TOKEN) - assert len(split_full_names) == 1 - assert { - "dataset_name": "severo/dummy_gated", - "config_name": "severo--embellishments", - "split_name": "train", - } in split_full_names +# disable until https://github.com/huggingface/datasets-server/pull/499 is done +# def test_gated() -> None: +# split_full_names = get_dataset_split_full_names("severo/dummy_gated", HF_TOKEN) +# assert len(split_full_names) == 1 +# assert { +# "dataset_name": "severo/dummy_gated", +# "config_name": "severo--embellishments", +# "split_name": "train", +# } in split_full_names diff --git a/services/worker/tests/deprecated/models/test_split.py b/services/worker/tests/deprecated/models/test_split.py index 58b8bd7c..9fdce8d2 100644 --- a/services/worker/tests/deprecated/models/test_split.py +++ b/services/worker/tests/deprecated/models/test_split.py @@ -104,0 +105 @@ def test_get_split() -> None: +# disable until https://github.com/huggingface/datasets-server/pull/499 is done diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py index 2e02aa71..5ef6eff3 100644 --- a/services/worker/tests/responses/test_first_rows.py +++ b/services/worker/tests/responses/test_first_rows.py @@ -3 +3 @@ from worker.responses.first_rows import get_first_rows_response -from .._utils import ASSETS_BASE_URL +from .._utils import ASSETS_BASE_URL, HF_ENDPOINT @@ -13,0 +14 @@ def test_number_rows() -> None: + hf_endpoint=HF_ENDPOINT, @@ -25,0 +27 @@ def test_get_first_rows_response() -> None: + hf_endpoint=HF_ENDPOINT, @@ -48 +50,6 @@ def test_no_features() -> None: - "severo/fix-401", "severo--fix-401", "train", rows_max_number=1, assets_base_url=ASSETS_BASE_URL + "severo/fix-401", + "severo--fix-401", + "train", + rows_max_number=1, + assets_base_url=ASSETS_BASE_URL, + hf_endpoint=HF_ENDPOINT, diff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py index d265d70a..9bba6a10 100644 --- a/services/worker/tests/responses/test_splits.py +++ b/services/worker/tests/responses/test_splits.py @@ -7 +7 @@ from worker.utils import SplitsNamesError -from .._utils import HF_TOKEN +from .._utils import HF_ENDPOINT, HF_TOKEN @@ -54,8 +54,9 @@ def test_splits_fallback() -> None: -def test_gated() -> None: - split_full_names = get_dataset_split_full_names("severo/dummy_gated", HF_TOKEN) - assert len(split_full_names) == 1 - assert { - "dataset_name": "severo/dummy_gated", - "config_name": "severo--embellishments", - "split_name": "train", - } in split_full_names +# disable until https://github.com/huggingface/datasets-server/pull/499 is done +# def test_gated() -> None: +# split_full_names = get_dataset_split_full_names("severo/dummy_gated", HF_TOKEN) +# assert len(split_full_names) == 1 +# assert { +# "dataset_name": "severo/dummy_gated", +# "config_name": "severo--embellishments", +# "split_name": "train", +# } in split_full_names @@ -66 +67 @@ def test_disclose_cause() -> None: - get_splits_response("akhaliq/test", HF_TOKEN) + get_splits_response("akhaliq/test", HF_ENDPOINT, HF_TOKEN) diff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py index eb2aa223..11f66a72 100644 --- a/services/worker/tests/test_refresh.py +++ b/services/worker/tests/test_refresh.py @@ -17,0 +18 @@ from ._utils import ( + HF_ENDPOINT, @@ -44 +45 @@ def test_doesnotexist() -> None: - assert refresh_splits(dataset_name) == (HTTPStatus.NOT_FOUND, False) + assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.NOT_FOUND, False) @@ -53 +54 @@ def test_e2e_examples() -> None: - assert refresh_splits(dataset_name) == (HTTPStatus.OK, False) + assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) @@ -60 +61 @@ def test_e2e_examples() -> None: - assert refresh_splits(dataset_name) == (HTTPStatus.OK, False) + assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) @@ -71 +72 @@ def test_large_document() -> None: - assert refresh_splits(dataset_name) == (HTTPStatus.OK, False) + assert refresh_splits(dataset_name, hf_endpoint=HF_ENDPOINT) == (HTTPStatus.OK, False) @@ -78 +79 @@ def test_first_rows() -> None: - http_status, _ = refresh_first_rows("common_voice", "tr", "train", ASSETS_BASE_URL) + http_status, _ = refresh_first_rows("common_voice", "tr", "train", ASSETS_BASE_URL, hf_endpoint=HF_ENDPOINT) diff --git a/tools/DockerRemoteImages.mk b/tools/DockerRemoteImages.mk index 723142fb..149cd420 100644 --- a/tools/DockerRemoteImages.mk +++ b/tools/DockerRemoteImages.mk @@ -1,7 +1,7 @@ -export SERVICE_ADMIN_DOCKER_IMAGE := $(shell jq -r '.dockerImage.admin' ${DOCKER_IMAGES}) -export SERVICE_API_DOCKER_IMAGE := $(shell jq -r '.dockerImage.api' ${DOCKER_IMAGES}) -export SERVICE_REVERSE_PROXY_DOCKER_IMAGE := $(shell jq -r '.dockerImage.reverseProxy' ${DOCKER_IMAGES}) -export SERVICE_WORKER_DATASETS_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.datasets' ${DOCKER_IMAGES}) -export SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES}) -export SERVICE_WORKER_SPLITS_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.splits' ${DOCKER_IMAGES}) -export SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE := $(shell jq -r '.dockerImage.worker.splitsNext' ${DOCKER_IMAGES}) +export IMAGE_ADMIN := $(shell jq -r '.dockerImage.admin' ${DOCKER_IMAGES}) +export IMAGE_API := $(shell jq -r '.dockerImage.api' ${DOCKER_IMAGES}) +export IMAGE_REVERSE_PROXY := $(shell jq -r '.dockerImage.reverseProxy' ${DOCKER_IMAGES}) +export IMAGE_WORKER_DATASETS := $(shell jq -r '.dockerImage.worker.datasets' ${DOCKER_IMAGES}) +export IMAGE_WORKER_FIRST_ROWS := $(shell jq -r '.dockerImage.worker.firstRows' ${DOCKER_IMAGES}) +export IMAGE_WORKER_SPLITS := $(shell jq -r '.dockerImage.worker.splits' ${DOCKER_IMAGES}) +export IMAGE_WORKER_SPLITS_NEXT := $(shell jq -r '.dockerImage.worker.splitsNext' ${DOCKER_IMAGES}) diff --git a/tools/Python.mk b/tools/Python.mk index f606049a..8f978632 100644 --- a/tools/Python.mk +++ b/tools/Python.mk @@ -46,2 +46,2 @@ test: - COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down + MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up @@ -49 +49 @@ test: - COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down @@ -53,2 +53,2 @@ coverage: - COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down + MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up @@ -56 +56 @@ coverage: - COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} HF_ENDPOINT=${TEST_HF_ENDPOINT} HF_TOKEN=${TEST_HF_TOKEN} $(MAKE) down diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index 36494020..1dbdfc48 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -11 +11 @@ services: - - "${SERVICE_REVERSE_PROXY_PORT-8000}:80" + - "${PORT_REVERSE_PROXY-8000}:80" @@ -36 +36 @@ services: - EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL} + HF_ENDPOINT: ${HF_ENDPOINT} @@ -40 +40 @@ services: - - ${SERVICE_API_PORT-8080}:8080 + - ${PORT_API-8080}:8080 @@ -53 +53 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -55,0 +56,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -70 +72 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -72,0 +75,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -87 +91 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -89,0 +94,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -104 +110 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -106,0 +113,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -125 +133 @@ services: - - ${SERVICE_ADMIN_PORT-8081}:8081 + - ${PORT_ADMIN-8081}:8081 diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index 9eafb7b6..dd3e4934 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -4 +4 @@ services: - image: ${SERVICE_REVERSE_PROXY_DOCKER_IMAGE?SERVICE_REVERSE_PROXY_DOCKER_IMAGE env var must be provided} + image: ${IMAGE_REVERSE_PROXY?IMAGE_REVERSE_PROXY env var must be provided} @@ -11 +11 @@ services: - - "${SERVICE_REVERSE_PROXY_PORT-8000}:80" + - "${PORT_REVERSE_PROXY-8000}:80" @@ -25 +25 @@ services: - image: ${SERVICE_API_DOCKER_IMAGE?SERVICE_API_DOCKER_IMAGE env var must be provided} + image: ${IMAGE_API?IMAGE_API env var must be provided} @@ -33 +33 @@ services: - EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL-""} + HF_ENDPOINT: ${HF_ENDPOINT} @@ -40 +40 @@ services: - - ${SERVICE_API_PORT-8080}:8080 + - ${PORT_API-8080}:8080 @@ -45 +45 @@ services: - image: ${SERVICE_WORKER_DATASETS_DOCKER_IMAGE?SERVICE_WORKER_DATASETS_DOCKER_IMAGE env var must be provided} + image: ${IMAGE_WORKER_DATASETS?IMAGE_WORKER_DATASETS env var must be provided} @@ -50 +50 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -52,0 +53,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -61 +63 @@ services: - image: ${SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE?SERVICE_WORKER_FIRST_ROWS_DOCKER_IMAGE env var must be provided} + image: ${IMAGE_WORKER_FIRST_ROWS?IMAGE_WORKER_FIRST_ROWS env var must be provided} @@ -66 +68 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -68,0 +71,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -77 +81 @@ services: - image: ${SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE?SERVICE_WORKER_SPLITS_NEXT_DOCKER_IMAGE env var must be provided} + image: ${IMAGE_WORKER_SPLITS_NEXT?IMAGE_WORKER_SPLITS_NEXT env var must be provided} @@ -82 +86 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -84,0 +89,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -93 +99 @@ services: - image: ${SERVICE_WORKER_SPLITS_DOCKER_IMAGE?SERVICE_WORKER_SPLITS_DOCKER_IMAGE env var must be provided} + image: ${IMAGE_WORKER_SPLITS?IMAGE_WORKER_SPLITS env var must be provided} @@ -98 +104 @@ services: - ASSETS_BASE_URL: "http://localhost:${SERVICE_REVERSE_PROXY_PORT-8000}/assets" + ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/assets" @@ -100,0 +107,2 @@ services: + HF_ENDPOINT: ${HF_ENDPOINT} + HF_TOKEN: ${HF_TOKEN} @@ -109 +117 @@ services: - image: ${SERVICE_ADMIN_DOCKER_IMAGE?SERVICE_ADMIN_DOCKER_IMAGE env var must be provided} + image: ${IMAGE_ADMIN?IMAGE_ADMIN env var must be provided} @@ -121 +129 @@ services: - - ${SERVICE_ADMIN_PORT-8081}:8081 + - ${PORT_ADMIN-8081}:8081
52bc20262151ac54b761df5bc0ee5756a3a0f60d
Sylvain Lesage
2022-08-03T22:01:55
Add auth to api endpoints (#495)
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 65b2f48e..bae43f79 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -69,0 +70 @@ jobs: + EXTERNAL_AUTH_URL: "https://huggingface.co/api/datasets/%s/auth-check" diff --git a/.github/workflows/s-worker.yml b/.github/workflows/s-worker.yml index 34718a0c..df49fc0d 100644 --- a/.github/workflows/s-worker.yml +++ b/.github/workflows/s-worker.yml @@ -18,2 +18,2 @@ jobs: - # pillow <9.0.0 - safety-exceptions: "-i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487" + # pillow <9.0.0, ujson<5.4.0 + safety-exceptions: "-i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487 -i 49754 -i 49755" diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index e6c4fe3b..e58c2883 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-645ac01", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-1f51ac9", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-70dca73", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-70dca73", diff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template index c03d7118..29097024 100644 --- a/chart/nginx-templates/default.conf.template +++ b/chart/nginx-templates/default.conf.template @@ -1,2 +0,0 @@ -proxy_cache_path ${CACHE_DIRECTORY}/ levels=1:2 keys_zone=STATIC:${CACHE_ZONE_SIZE} inactive=${CACHE_INACTIVE} max_size=${CACHE_MAX_SIZE}; - @@ -31,11 +28,0 @@ server { - # cache all the HEAD+GET requests (without Set-Cookie) - # Cache-Control is used to determine the cache duration - # see https://www.nginx.com/blog/nginx-caching-guide/ - proxy_buffering on; - proxy_cache STATIC; - proxy_cache_use_stale off; - proxy_cache_background_update off; - proxy_cache_lock off; - add_header X-Cache-Status $upstream_cache_status; - # we have to add Access-Control-Allow-Origin again, see https://nginx.org/en/docs/http/ngx_http_headers_module.html#add_header - add_header 'Access-Control-Allow-Origin' '*' always; @@ -51,11 +37,0 @@ server { - # cache all the HEAD+GET requests (without Set-Cookie) - # Cache-Control is used to determine the cache duration - # see https://www.nginx.com/blog/nginx-caching-guide/ - proxy_buffering on; - proxy_cache STATIC; - proxy_cache_use_stale off; - proxy_cache_background_update off; - proxy_cache_lock off; - add_header X-Cache-Status $upstream_cache_status; - # we have to add Access-Control-Allow-Origin again, see https://nginx.org/en/docs/http/ngx_http_headers_module.html#add_header - add_header 'Access-Control-Allow-Origin' '*' always; diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 11382739..6af03beb 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -42,0 +43,8 @@ + "HealthCheckResponse": { + "type": "string", + "example": "ok" + }, + "ServerErrorResponse": { + "type": "string", + "example": "Internal Server Error" + }, @@ -758,0 +767,14 @@ + }, + "securitySchemes": { + "HuggingFaceCookie": { + "type": "apiKey", + "description": "The HuggingFace cookie. Get it by logging in to https://huggingface.co/. It can only be used from the huggingface.co domain, and can thus only be used by Hub features like the [dataset viewer](https://huggingface.co/docs/hub/datasets-viewer), for example.", + "name": "token", + "in": "cookie" + }, + "HuggingFaceToken": { + "type": "http", + "description": "The HuggingFace API token. Create a User Access Token with read access at https://huggingface.co/settings/tokens. You can also use an Organization API token. It gives access to the public datasets, and to the [gated datasets](https://huggingface.co/docs/hub/datasets-gated) for which you have accepted the conditions.", + "scheme": "bearer", + "bearerFormat": "A User Access Token is prefixed with `hf_`, while an Organization API token is prefixed with `api_org_`." + } @@ -761,0 +784,53 @@ + "/healthcheck": { + "get": { + "summary": "Healthcheck", + "description": "An endpoint to check if the API is up.", + "operationId": "healthCheck", + "parameters": [], + "responses": { + "200": { + "description": "Valid response.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + } + }, + "content": { + "text/plain": { + "schema": { + "$ref": "#/components/schemas/HealthCheckResponse" + }, + "examples": { + "valid": { + "summary": "Valid response", + "value": "ok" + } + } + } + } + }, + "500": { + "description": "The server crashed.", + "headers": {}, + "content": { + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } + } + } + } + } + } + }, @@ -970,0 +1046,13 @@ + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } @@ -1736,0 +1825,13 @@ + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } @@ -1812,0 +1914,13 @@ + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } @@ -1827,0 +1942,9 @@ + "security": [ + {}, + { + "HuggingFaceCookie": [] + }, + { + "HuggingFaceToken": [] + } + ], @@ -1876,0 +2000,113 @@ + "401": { + "description": "If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "gated-dataset": { + "summary": "The dataset is gated.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "private-dataset": { + "summary": "The dataset is private.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + } + } + } + } + }, + "404": { + "description": "If the dataset cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "gated-dataset": { + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "private-dataset": { + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + } + } + } + } + }, + "422": { + "description": "The `dataset` parameter has not been provided.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "missing-parameter": { + "summary": "The dataset parameter is missing.", + "value": { "error": "Parameter 'dataset' is required" } + }, + "empty-parameter": { + "summary": "The dataset parameter is empty (?dataset=).", + "value": { "error": "Parameter 'dataset' is required" } + } + } + } + } + }, @@ -1902,0 +2139,13 @@ + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } @@ -1917,0 +2167,9 @@ + "security": [ + {}, + { + "HuggingFaceCookie": [] + }, + { + "HuggingFaceToken": [] + } + ], @@ -2030,2 +2288,2 @@ - "404": { - "description": "If the repository to download from cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", + "401": { + "description": "If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.", @@ -2052 +2310,7 @@ - "error": "Not found." + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "gated-dataset": { + "summary": "The dataset is gated.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." @@ -2058 +2322,42 @@ - "error": "Not found." + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + } + } + } + } + }, + "404": { + "description": "If the repository to download from cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "gated-dataset": { + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "private-dataset": { + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." @@ -2164,0 +2470,13 @@ + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } @@ -2179,0 +2498,9 @@ + "security": [ + {}, + { + "HuggingFaceCookie": [] + }, + { + "HuggingFaceToken": [] + } + ], @@ -2784,0 +3112,41 @@ + "401": { + "description": "If the external authentication step on the Hugging Face Hub failed, and no authentication mechanism has been provided. Retry with authentication.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "gated-dataset": { + "summary": "The dataset is gated.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + }, + "private-dataset": { + "summary": "The dataset is private.", + "value": { + "error": "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry with authentication." + } + } + } + } + } + }, @@ -2805,2 +3173,10 @@ - "summary": "The dataset does not exist on the Hub.", - "value": { "error": "Not found." } + "summary": "The dataset does not exist, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } + }, + "gated-dataset": { + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } @@ -2809,2 +3185,4 @@ - "summary": "The dataset is private.", - "value": { "error": "Not found." } + "summary": "The dataset is private, while authentication was provided in the request.", + "value": { + "error": "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + } @@ -3006,0 +3385,13 @@ + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Internal Server Error" + } + } + } diff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl index c316704e..e24b97fd 100644 --- a/chart/templates/api/_container.tpl +++ b/chart/templates/api/_container.tpl @@ -11,0 +12,2 @@ + - name: EXTERNAL_AUTH_URL + value: {{ .Values.api.externalAuthUrl | quote }} diff --git a/chart/values.yaml b/chart/values.yaml index 25ff4445..1d82cef2 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -92,0 +93,7 @@ api: + # External authentication URL. + # %s will be replaced with the dataset name, for example: + # "https://huggingface.co/api/datasets/%s/auth-check" + # The authentication service must follow the specification in + # https://nginx.org/en/docs/http/ngx_http_auth_request_module.html + # and return 200, 401 or 403 + externalAuthUrl: "https://huggingface.co/api/datasets/%s/auth-check" diff --git a/e2e/Makefile b/e2e/Makefile index adb4b3b2..8b4921d4 100644 --- a/e2e/Makefile +++ b/e2e/Makefile @@ -6,2 +5,0 @@ export TEST_MONGO_PORT := 27050 -export TEST_MONGO_CACHE_DATABASE := datasets_server_cache_test -export TEST_MONGO_QUEUE_DATABASE := datasets_server_queue_test @@ -9,0 +8 @@ export TEST_COMPOSE_PROJECT_NAME := e2e +export TEST_EXTERNAL_AUTH_URL := https://huggingface.co/api/datasets/%s/auth-check diff --git a/e2e/tests/test_healthcheck.py b/e2e/tests/test_10_healthcheck.py similarity index 55% rename from e2e/tests/test_healthcheck.py rename to e2e/tests/test_10_healthcheck.py index b5731c7b..094fe792 100644 --- a/e2e/tests/test_healthcheck.py +++ b/e2e/tests/test_10_healthcheck.py @@ -7,2 +7,2 @@ def test_healthcheck(): - assert response.status_code == 200 - assert response.text == "ok" + assert response.status_code == 200, f"{response.status_code} - {response.text}" + assert response.text == "ok", response.text diff --git a/e2e/tests/test_splits_and_rows.py b/e2e/tests/test_20_splits_and_rows.py similarity index 85% rename from e2e/tests/test_splits_and_rows.py rename to e2e/tests/test_20_splits_and_rows.py index 63eb1467..dc55326c 100644 --- a/e2e/tests/test_splits_and_rows.py +++ b/e2e/tests/test_20_splits_and_rows.py @@ -19,2 +19,2 @@ def test_get_dataset(): - assert r_splits.json()["splits"][0]["split"] == "train" - assert r_rows.json()["rows"][0]["row"]["id"] == "TR-0" + assert r_splits.json()["splits"][0]["split"] == "train", r_splits.text + assert r_rows.json()["rows"][0]["row"]["id"] == "TR-0", r_splits.text @@ -38 +38 @@ def test_bug_empty_split(): - assert response.status_code == 200 + assert response.status_code == 200, f"{response.status_code} - {response.text}" @@ -42 +42 @@ def test_bug_empty_split(): - assert response.status_code == 200 + assert response.status_code == 200, f"{response.status_code} - {response.text}" @@ -47 +47 @@ def test_bug_empty_split(): - assert response.status_code == 400 + assert response.status_code == 400, f"{response.status_code} - {response.text}" @@ -49 +49 @@ def test_bug_empty_split(): - assert json["message"] == "The split is being processed. Retry later." + assert json["message"] == "The split is being processed. Retry later.", json @@ -53 +53 @@ def test_bug_empty_split(): - assert response.status_code == 200 + assert response.status_code == 200, f"{response.status_code} - {response.text}" @@ -61 +61 @@ def test_bug_empty_split(): - assert response.status_code == 200 + assert response.status_code == 200, f"{response.status_code} - {response.text}" @@ -63 +63 @@ def test_bug_empty_split(): - assert len(json["rows"]) == ROWS_MAX_NUMBER + assert len(json["rows"]) == ROWS_MAX_NUMBER, json diff --git a/e2e/tests/test_splits_next_and_first_rows.py b/e2e/tests/test_30_splits_next_and_first_rows.py similarity index 54% rename from e2e/tests/test_splits_next_and_first_rows.py rename to e2e/tests/test_30_splits_next_and_first_rows.py index ae026989..4ad01125 100644 --- a/e2e/tests/test_splits_next_and_first_rows.py +++ b/e2e/tests/test_30_splits_next_and_first_rows.py @@ -10 +10 @@ def test_get_dataset_next(): - assert r_splits.json()["splits"][0]["split_name"] == "train" + assert r_splits.json()["splits"][0]["split_name"] == "train", f"{r_splits.status_code} - {r_splits.text}" @@ -12 +12 @@ def test_get_dataset_next(): - assert r_rows.status_code == 200 + assert r_rows.status_code == 200, f"{r_rows.status_code} - {r_rows.text}" @@ -14,8 +14,8 @@ def test_get_dataset_next(): - assert "features" in json - assert json["features"][0]["name"] == "id" - assert json["features"][0]["type"]["_type"] == "Value" - assert json["features"][0]["type"]["dtype"] == "string" - assert json["features"][2]["name"] == "labels" - assert json["features"][2]["type"]["_type"] == "Sequence" - assert json["features"][2]["type"]["feature"]["_type"] == "ClassLabel" - assert json["features"][2]["type"]["feature"]["num_classes"] == 5 + assert "features" in json, json + assert json["features"][0]["name"] == "id", json + assert json["features"][0]["type"]["_type"] == "Value", json + assert json["features"][0]["type"]["dtype"] == "string", json + assert json["features"][2]["name"] == "labels", json + assert json["features"][2]["type"]["_type"] == "Sequence", json + assert json["features"][2]["type"]["feature"]["_type"] == "ClassLabel", json + assert json["features"][2]["type"]["feature"]["num_classes"] == 5, json @@ -23,5 +23,5 @@ def test_get_dataset_next(): - assert len(json["rows"]) == ROWS_MAX_NUMBER - assert json["rows"][0]["row"]["id"] == "TR-0" - assert type(json["rows"][0]["row"]["labels"]) is list - assert len(json["rows"][0]["row"]["labels"]) == 18 - assert json["rows"][0]["row"]["labels"][0] == 4 + assert len(json["rows"]) == ROWS_MAX_NUMBER, json["rows"] + assert json["rows"][0]["row"]["id"] == "TR-0", json["rows"] + assert type(json["rows"][0]["row"]["labels"]) is list, json["rows"] + assert len(json["rows"][0]["row"]["labels"]) == 18, json["rows"] + assert json["rows"][0]["row"]["labels"][0] == 4, json["rows"] @@ -40 +40 @@ def test_png_image_next(): - assert r_rows.status_code == 200 + assert r_rows.status_code == 200, f"{r_rows.status_code} - {r_rows.text}" @@ -43,3 +43,3 @@ def test_png_image_next(): - assert "features" in json - assert json["features"][0]["name"] == "image" - assert json["features"][0]["type"]["_type"] == "Image" + assert "features" in json, json + assert json["features"][0]["name"] == "image", json + assert json["features"][0]["type"]["_type"] == "Image", json @@ -49 +49,2 @@ def test_png_image_next(): - ) + ), json + diff --git a/e2e/tests/test_splits_next.py b/e2e/tests/test_40_splits_next.py similarity index 60% rename from e2e/tests/test_splits_next.py rename to e2e/tests/test_40_splits_next.py index d1bdedd5..f32334e6 100644 --- a/e2e/tests/test_splits_next.py +++ b/e2e/tests/test_40_splits_next.py @@ -18,2 +18,18 @@ from .utils import ( - (404, "inexistent-dataset", "severo/inexistent-dataset", "SplitsResponseNotFound"), - (404, "private-dataset", "severo/dummy_private", "SplitsResponseNotFound"), + ( + 401, + "inexistent-dataset", + "severo/inexistent-dataset", + "ExternalUnauthenticatedError", + ), + ( + 401, + "gated-dataset", + "severo/dummy_gated", + "ExternalUnauthenticatedError", + ), + ( + 401, + "private-dataset", + "severo/dummy_private", + "ExternalUnauthenticatedError", + ), @@ -24 +40 @@ from .utils import ( - (500, "not-ready", "a_new_dataset", "SplitsResponseNotReady"), + (500, "not-ready", "severo/fix-401", "SplitsResponseNotReady"), @@ -42,2 +58,2 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - assert r_splits.status_code == status - assert r_splits.json() == body + assert r_splits.status_code == status, f"{r_splits.status_code} - {r_splits.text}" + assert r_splits.json() == body, r_splits.text @@ -45 +61 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - assert r_splits.headers["X-Error-Code"] == error_code + assert r_splits.headers["X-Error-Code"] == error_code, r_splits.headers["X-Error-Code"] @@ -47 +63 @@ def test_splits_next(status: int, name: str, dataset: str, error_code: str): - assert "X-Error-Code" not in r_splits.headers + assert "X-Error-Code" not in r_splits.headers, r_splits.headers["X-Error-Code"] diff --git a/e2e/tests/test_first_rows.py b/e2e/tests/test_50_first_rows.py similarity index 81% rename from e2e/tests/test_first_rows.py rename to e2e/tests/test_50_first_rows.py index 99e5958b..c8705146 100644 --- a/e2e/tests/test_first_rows.py +++ b/e2e/tests/test_50_first_rows.py @@ -28 +27,0 @@ def prepare_json(response: requests.Response) -> Any: - (404, "inexistent-dataset", "severo/inexistent-dataset", "plain_text", "train", "FirstRowsResponseNotFound"), @@ -30 +29,17 @@ def prepare_json(response: requests.Response) -> Any: - 404, + 401, + "inexistent-dataset", + "severo/inexistent-dataset", + "plain_text", + "train", + "ExternalUnauthenticatedError", + ), + ( + 401, + "gated-dataset", + "severo/dummy_gated", + "severo--embellishments", + "train", + "ExternalUnauthenticatedError", + ), + ( + 401, @@ -35 +50 @@ def prepare_json(response: requests.Response) -> Any: - "FirstRowsResponseNotFound", + "ExternalUnauthenticatedError", @@ -70 +85 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - elif name.startswith("inexistent-") or name.startswith("private-"): + elif name.startswith("inexistent-") or name.startswith("private-") or name.startswith("gated-"): @@ -81,2 +96,2 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - assert r_rows.status_code == status - assert prepare_json(r_rows) == body + assert r_rows.status_code == status, f"{r_rows.status_code} - {r_rows.text}" + assert prepare_json(r_rows) == body, r_rows.text @@ -84 +99 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - assert r_rows.headers["X-Error-Code"] == error_code + assert r_rows.headers["X-Error-Code"] == error_code, r_rows.headers["X-Error-Code"] @@ -86 +101 @@ def test_first_rows(status: int, name: str, dataset: str, config: str, split: st - assert "X-Error-Code" not in r_rows.headers + assert "X-Error-Code" not in r_rows.headers, r_rows.headers["X-Error-Code"] diff --git a/e2e/tests/test_valid.py b/e2e/tests/test_60_valid.py similarity index 57% rename from e2e/tests/test_valid.py rename to e2e/tests/test_60_valid.py index 0c6dc0b2..964cb393 100644 --- a/e2e/tests/test_valid.py +++ b/e2e/tests/test_60_valid.py @@ -9 +9 @@ def test_valid_after_datasets_processed(): - assert response.status_code == 200 + assert response.status_code == 200, f"{response.status_code} - {response.text}" @@ -11,2 +11,2 @@ def test_valid_after_datasets_processed(): - assert "acronym_identification" in response.json()["valid"] - assert "nielsr/CelebA-faces" in response.json()["valid"] + assert "acronym_identification" in response.json()["valid"], response.text + assert "nielsr/CelebA-faces" in response.json()["valid"], response.text diff --git a/e2e/tests/test_70_is_valid.py b/e2e/tests/test_70_is_valid.py new file mode 100644 index 00000000..52d6d068 --- /dev/null +++ b/e2e/tests/test_70_is_valid.py @@ -0,0 +1,16 @@ +import requests + +from .utils import URL + + +def test_is_valid_after_datasets_processed(): + # this test ensures that a dataset processed successfully returns true in /is-valid + response = requests.get(f"{URL}/is-valid") + assert response.status_code == 422, f"{response.status_code} - {response.text}" + # at this moment various datasets have been processed (due to the alphabetic order of the test files) + response = requests.get(f"{URL}/is-valid?dataset=acronym_identification") + assert response.status_code == 200, f"{response.status_code} - {response.text}" + assert response.json()["valid"] is True, response.text + # without authentication, we get a 401 error when requesting a non-existing dataset + response = requests.get(f"{URL}/is-valid?dataset=non-existing-dataset") + assert response.status_code == 401, f"{response.status_code} - {response.text}" diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py index bee0d90b..707ed938 100644 --- a/e2e/tests/utils.py +++ b/e2e/tests/utils.py @@ -55 +55 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req - assert response.status_code == 200 + assert response.status_code == 200, f"{response.status_code} - {response.text}" @@ -59 +59 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req - assert response.status_code == 200 + assert response.status_code == 200, f"{response_splits.status_code} - {response_splits.text}" @@ -63 +63 @@ def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[req - assert response.status_code == 200 + assert response.status_code == 200, f"{response_rows.status_code} - {response_rows.text}" @@ -79 +79 @@ def refresh_poll_splits_next(dataset: str) -> requests.Response: - assert response.status_code == 200 + assert response.status_code == 200, f"{response.status_code} - {response.text}" @@ -89 +89 @@ def refresh_poll_splits_next_first_rows( - assert response_splits.status_code == 200 + assert response_splits.status_code == 200, f"{response_splits.status_code} - {response_splits.text}" diff --git a/services/api/.env.example b/services/api/.env.example index 49173807..85e64b49 100644 --- a/services/api/.env.example +++ b/services/api/.env.example @@ -12,0 +13,8 @@ +# External authentication URL. +# %s will be replaced with the dataset name, for example: +# "https://huggingface.co/api/datasets/%s/auth-check" +# The authentication service must follow the specification in +# https://nginx.org/en/docs/http/ngx_http_auth_request_module.html +# and return 200, 401 or 403 +# EXTERNAL_AUTH_URL= + diff --git a/services/api/README.md b/services/api/README.md index fd0e73cc..f4ffe6c9 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -22,0 +23 @@ Set environment variables to configure the following aspects: +- `EXTERNAL_AUTH_URL`: the URL of the external authentication service. The string must contain `%s` which will be replaced with the dataset name, e.g. "https://huggingface.co/api/datasets/%s/auth-check". The external authentication service must follow the specification in https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. Defaults to empty, in which case the authentication is disabled. diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 5805e705..b3a999b6 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -991,0 +992,15 @@ requests = ">=2.0.1,<3.0.0" +[[package]] +name = "responses" +version = "0.21.0" +description = "A utility library for mocking out the `requests` Python library." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +requests = ">=2.0,<3.0" +urllib3 = ">=1.25.10" + +[package.extras] +tests = ["pytest (>=7.0.0)", "coverage (>=6.0.0)", "pytest-cov", "pytest-asyncio", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"] + @@ -1200 +1215 @@ python-versions = "3.9.6" -content-hash = "6b89be56d2d74637a2198ac9bb6f56d4428b5b7fb3f23786dec8a60e5676b2fa" +content-hash = "6a11079f50641f701c329bbaffd41c978db7594c7ee2ce690549b0aa8a648e74" @@ -1946,0 +1962 @@ requests-toolbelt = [ +responses = [] diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 2c29522c..8049e0c9 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -27,0 +28 @@ pytest-cov = "^2.12.1" +responses = "^0.21.0" diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 1895ad86..6bf3de54 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -19,0 +20 @@ from api.config import ( + EXTERNAL_AUTH_URL, @@ -26 +27 @@ from api.prometheus import Prometheus -from api.routes.first_rows import first_rows_endpoint +from api.routes.first_rows import create_first_rows_endpoint @@ -30,2 +31,2 @@ from api.routes.splits import splits_endpoint -from api.routes.splits_next import splits_endpoint_next -from api.routes.valid import is_valid_endpoint, valid_datasets_endpoint +from api.routes.splits_next import create_splits_next_endpoint +from api.routes.valid import create_is_valid_endpoint, valid_datasets_endpoint @@ -46,2 +47,4 @@ def create_app() -> Starlette: - Route("/first-rows", endpoint=first_rows_endpoint), - Route("/splits-next", endpoint=splits_endpoint_next), + Route("/is-valid", endpoint=create_is_valid_endpoint(EXTERNAL_AUTH_URL)), + # ^ called by https://github.com/huggingface/model-evaluator + Route("/first-rows", endpoint=create_first_rows_endpoint(EXTERNAL_AUTH_URL)), + Route("/splits-next", endpoint=create_splits_next_endpoint(EXTERNAL_AUTH_URL)), @@ -53,4 +55,0 @@ def create_app() -> Starlette: - to_document: List[BaseRoute] = [ - # called by https://github.com/huggingface/model-evaluator - Route("/is-valid", endpoint=is_valid_endpoint), - ] @@ -67 +66 @@ def create_app() -> Starlette: - routes: List[BaseRoute] = documented + to_deprecate + to_document + to_protect + for_development_only + routes: List[BaseRoute] = documented + to_deprecate + to_protect + for_development_only diff --git a/services/api/src/api/authentication.py b/services/api/src/api/authentication.py new file mode 100644 index 00000000..830a4891 --- /dev/null +++ b/services/api/src/api/authentication.py @@ -0,0 +1,71 @@ +from typing import Literal, Optional + +import requests +from requests import PreparedRequest +from requests.auth import AuthBase +from starlette.requests import Request + +from api.utils import ExternalAuthenticatedError, ExternalUnauthenticatedError + + +class RequestAuth(AuthBase): + """Attaches input Request authentication headers to the given Request object.""" + + def __init__(self, request: Optional[Request]) -> None: + if request is not None: + self.cookie = request.headers.get("cookie") + self.authorization = request.headers.get("authorization") + else: + self.cookie = None + self.authorization = None + + def __call__(self, r: PreparedRequest) -> PreparedRequest: + # modify and return the request + if self.cookie: + r.headers["cookie"] = self.cookie + if self.authorization: + r.headers["authorization"] = self.authorization + return r + + +def auth_check( + dataset: str, external_auth_url: Optional[str] = None, request: Optional[Request] = None +) -> Literal[True]: + """check if the dataset is authorized for the request + + Args: + dataset (str): the dataset name + external_auth_url (str|None): the URL of an external authentication service. The URL must contain `%s`, + which will be replaced with the dataset name, for example: https://huggingface.co/api/datasets/%s/auth-check + The authentication service must follow the specification in + https://nginx.org/en/docs/http/ngx_http_auth_request_module.html and return 200, 401 or 403. + If None, the dataset is always authorized. + request (Request | None): the request which optionally bears authentication headers: "cookie" or + "authorization" + + Returns: + None: the dataset is authorized for the request + """ + if external_auth_url is None: + return True + try: + url = external_auth_url % dataset + except TypeError as e: + raise ValueError("external_auth_url must contain %s") from e + try: + response = requests.get(url, auth=RequestAuth(request)) + except Exception as err: + raise RuntimeError("External authentication check failed", err) from err + if response.status_code == 200: + return True + elif response.status_code == 401: + raise ExternalUnauthenticatedError( + "The dataset does not exist, or is not accessible without authentication (private or gated). Please retry" + " with authentication." + ) + elif response.status_code == 403: + raise ExternalAuthenticatedError( + "The dataset does not exist, or is not accessible with the current credentials (private or gated)." + ) + else: + raise ValueError(f"Unexpected status code {response.status_code}") diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py index dbc93d3b..f1351513 100644 --- a/services/api/src/api/config.py +++ b/services/api/src/api/config.py @@ -10,0 +11 @@ from api.constants import ( + DEFAULT_EXTERNAL_AUTH_URL, @@ -25,0 +27 @@ ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key="ASSETS_DIRECTORY", d +EXTERNAL_AUTH_URL = get_str_or_none_value(d=os.environ, key="EXTERNAL_AUTH_URL", default=DEFAULT_EXTERNAL_AUTH_URL) diff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py index f01c0d42..f295a6ae 100644 --- a/services/api/src/api/constants.py +++ b/services/api/src/api/constants.py @@ -5,0 +6 @@ DEFAULT_DATASETS_ENABLE_PRIVATE: bool = False +DEFAULT_EXTERNAL_AUTH_URL: None = None diff --git a/services/api/src/api/routes/first_rows.py b/services/api/src/api/routes/first_rows.py index 8400285f..b13497d3 100644 --- a/services/api/src/api/routes/first_rows.py +++ b/services/api/src/api/routes/first_rows.py @@ -2,0 +3 @@ from http import HTTPStatus +from typing import Optional @@ -8,0 +10 @@ from starlette.responses import Response +from api.authentication import auth_check @@ -10,0 +13 @@ from api.utils import ( + Endpoint, @@ -24,9 +27,2 @@ logger = logging.getLogger(__name__) -async def first_rows_endpoint(request: Request) -> Response: - try: - dataset_name = request.query_params.get("dataset") - config_name = request.query_params.get("config") - split_name = request.query_params.get("split") - logger.info(f"/rows, dataset={dataset_name}, config={config_name}, split={split_name}") - - if not are_valid_parameters([dataset_name, config_name, split_name]): - raise MissingRequiredParameterError("Parameters 'dataset', 'config' and 'split' are required") +def create_first_rows_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: + async def first_rows_endpoint(request: Request) -> Response: @@ -34,16 +30,28 @@ async def first_rows_endpoint(request: Request) -> Response: - response, http_status, error_code = get_first_rows_response(dataset_name, config_name, split_name) - if http_status == HTTPStatus.OK: - return get_json_ok_response(response) - else: - return get_json_error_response(response, http_status, error_code) - except DoesNotExist as e: - if is_first_rows_response_in_process(dataset_name, config_name, split_name): - raise FirstRowsResponseNotReadyError( - "The list of the first rows is not ready yet. Please retry later." - ) from e - else: - raise FirstRowsResponseNotFoundError("Not found.") from e - except ApiCustomError as e: - return get_json_api_error_response(e) - except Exception: - return get_json_api_error_response(UnexpectedError("Unexpected error.")) + dataset_name = request.query_params.get("dataset") + config_name = request.query_params.get("config") + split_name = request.query_params.get("split") + logger.info(f"/rows, dataset={dataset_name}, config={config_name}, split={split_name}") + + if not are_valid_parameters([dataset_name, config_name, split_name]): + raise MissingRequiredParameterError("Parameters 'dataset', 'config' and 'split' are required") + # if auth_check fails, it will raise an exception that will be caught below + auth_check(dataset_name, external_auth_url=external_auth_url, request=request) + try: + response, http_status, error_code = get_first_rows_response(dataset_name, config_name, split_name) + if http_status == HTTPStatus.OK: + return get_json_ok_response(response) + else: + return get_json_error_response(response, http_status, error_code) + except DoesNotExist as e: + if is_first_rows_response_in_process(dataset_name, config_name, split_name): + raise FirstRowsResponseNotReadyError( + "The list of the first rows is not ready yet. Please retry later." + ) from e + else: + raise FirstRowsResponseNotFoundError("Not found.") from e + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception as e: + return get_json_api_error_response(UnexpectedError("Unexpected error.", e)) + + return first_rows_endpoint diff --git a/services/api/src/api/routes/splits_next.py b/services/api/src/api/routes/splits_next.py index e3cb5c26..1268ed71 100644 --- a/services/api/src/api/routes/splits_next.py +++ b/services/api/src/api/routes/splits_next.py @@ -2,0 +3 @@ from http import HTTPStatus +from typing import Optional @@ -8,0 +10 @@ from starlette.responses import Response +from api.authentication import auth_check @@ -10,0 +13 @@ from api.utils import ( + Endpoint, @@ -24,7 +27,2 @@ logger = logging.getLogger(__name__) -async def splits_endpoint_next(request: Request) -> Response: - try: - dataset_name = request.query_params.get("dataset") - logger.info(f"/splits-next, dataset={dataset_name}") - - if not are_valid_parameters([dataset_name]): - raise MissingRequiredParameterError("Parameter 'dataset' is required") +def create_splits_next_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: + async def splits_next_endpoint(request: Request) -> Response: @@ -32,14 +30,26 @@ async def splits_endpoint_next(request: Request) -> Response: - response, http_status, error_code = get_splits_response(dataset_name) - if http_status == HTTPStatus.OK: - return get_json_ok_response(response) - else: - return get_json_error_response(response, http_status, error_code) - except DoesNotExist as e: - if is_splits_response_in_process(dataset_name): - raise SplitsResponseNotReadyError("The list of splits is not ready yet. Please retry later.") from e - else: - raise SplitsResponseNotFoundError("Not found.") from e - except ApiCustomError as e: - return get_json_api_error_response(e) - except Exception: - return get_json_api_error_response(UnexpectedError("Unexpected error.")) + dataset_name = request.query_params.get("dataset") + logger.info(f"/splits-next, dataset={dataset_name}") + + if not are_valid_parameters([dataset_name]): + raise MissingRequiredParameterError("Parameter 'dataset' is required") + # if auth_check fails, it will raise an exception that will be caught below + auth_check(dataset_name, external_auth_url=external_auth_url, request=request) + try: + response, http_status, error_code = get_splits_response(dataset_name) + if http_status == HTTPStatus.OK: + return get_json_ok_response(response) + else: + return get_json_error_response(response, http_status, error_code) + except DoesNotExist as e: + if is_splits_response_in_process(dataset_name): + raise SplitsResponseNotReadyError( + "The list of splits is not ready yet. Please retry later." + ) from e + else: + raise SplitsResponseNotFoundError("Not found.") from e + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception as err: + return get_json_api_error_response(UnexpectedError("Unexpected error.", err)) + + return splits_next_endpoint diff --git a/services/api/src/api/routes/valid.py b/services/api/src/api/routes/valid.py index 8353a185..5529eada 100644 --- a/services/api/src/api/routes/valid.py +++ b/services/api/src/api/routes/valid.py @@ -2,0 +3 @@ import time +from typing import Optional @@ -10,0 +12 @@ from starlette.responses import Response +from api.authentication import auth_check @@ -12,0 +15 @@ from api.utils import ( + Endpoint, @@ -35,14 +38,19 @@ async def valid_datasets_endpoint(_: Request) -> Response: -async def is_valid_endpoint(request: Request) -> Response: - try: - dataset_name = request.query_params.get("dataset") - logger.info(f"/is-valid, dataset={dataset_name}") - if not are_valid_parameters([dataset_name]): - raise MissingRequiredParameterError("Parameter 'dataset' is required") - content = { - "valid": is_dataset_name_valid_or_stale(dataset_name), - } - return get_json_ok_response(content) - except ApiCustomError as e: - return get_json_api_error_response(e) - except Exception: - return get_json_api_error_response(UnexpectedError("Unexpected error.")) +def create_is_valid_endpoint(external_auth_url: Optional[str] = None) -> Endpoint: + async def is_valid_endpoint(request: Request) -> Response: + try: + dataset_name = request.query_params.get("dataset") + logger.info(f"/is-valid, dataset={dataset_name}") + if not are_valid_parameters([dataset_name]): + raise MissingRequiredParameterError("Parameter 'dataset' is required") + # if auth_check fails, it will raise an exception that will be caught below + auth_check(dataset_name, external_auth_url=external_auth_url, request=request) + content = { + "valid": is_dataset_name_valid_or_stale(dataset_name), + } + return get_json_ok_response(content) + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception: + return get_json_api_error_response(UnexpectedError("Unexpected error.")) + + return is_valid_endpoint diff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py index 598928c2..c33ee8f0 100644 --- a/services/api/src/api/utils.py +++ b/services/api/src/api/utils.py @@ -2 +2 @@ from http import HTTPStatus -from typing import Any, List, Literal, Optional +from typing import Any, Callable, Coroutine, List, Literal, Optional @@ -5,0 +6 @@ from libutils.utils import orjson_dumps +from starlette.requests import Request @@ -16,0 +18,3 @@ ApiErrorCode = Literal[ + "ExternalUnauthenticatedError", + "ExternalAuthenticatedError", + "ExternalAuthCheckResponseError", @@ -31,0 +36 @@ class ApiCustomError(CustomError): + # TODO: log the error and the cause @@ -70 +75,18 @@ class UnexpectedError(ApiCustomError): - """Raised when the response for the split has not been found.""" + """Raised when the server raised an unexpected error.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "UnexpectedError", cause) + + +class ExternalUnauthenticatedError(ApiCustomError): + """Raised when the external authentication check failed while the user was unauthenticated.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.UNAUTHORIZED, "ExternalUnauthenticatedError") + + +class ExternalAuthenticatedError(ApiCustomError): + """Raised when the external authentication check failed while the user was authenticated. + + Even if the external authentication server returns 403 in that case, we return 404 because + we don't know if the dataset exist or not. It's also coherent with how the Hugging Face Hub works.""" @@ -73 +95 @@ class UnexpectedError(ApiCustomError): - super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "UnexpectedError") + super().__init__(message, HTTPStatus.NOT_FOUND, "ExternalAuthenticatedError") @@ -114,0 +137,3 @@ def are_valid_parameters(parameters: List[Any]) -> bool: + + +Endpoint = Callable[[Request], Coroutine[Any, Any, Response]] diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py new file mode 100644 index 00000000..dbbfaf6a --- /dev/null +++ b/services/api/tests/conftest.py @@ -0,0 +1,3 @@ +import os + +os.environ["EXTERNAL_AUTH_URL"] = "https://auth.check/%s" diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index b8f536c1..37c9e178 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -1,0 +2 @@ from http import HTTPStatus +from typing import Dict, Optional @@ -3,0 +5 @@ import pytest +import responses @@ -27 +29,3 @@ from api.app import create_app -from api.config import MONGO_QUEUE_DATABASE +from api.config import EXTERNAL_AUTH_URL, MONGO_QUEUE_DATABASE + +from .utils import request_callback @@ -75,0 +80 @@ def test_get_valid_datasets(client: TestClient) -> None: [email protected] @@ -80 +85,3 @@ def test_get_is_valid(client: TestClient) -> None: - response = client.get("/is-valid", params={"dataset": "doesnotexist"}) + dataset = "doesnotexist" + responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + response = client.get("/is-valid", params={"dataset": dataset}) @@ -104,0 +112,20 @@ def test_get_is_valid(client: TestClient) -> None: +# the logic below is just to check the cookie and authorization headers are managed correctly [email protected]( + "headers,status_code,error_code", + [ + ({"Cookie": "some cookie"}, 401, "ExternalUnauthenticatedError"), + ({"Authorization": "Bearer invalid"}, 404, "ExternalAuthenticatedError"), + ({}, 200, None), + ], +) [email protected] +def test_is_valid_auth( + client: TestClient, headers: Dict[str, str], status_code: int, error_code: Optional[str] +) -> None: + dataset = "dataset-which-does-not-exist" + responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + response = client.get(f"/is-valid?dataset={dataset}", headers=headers) + assert response.status_code == status_code + assert response.headers.get("X-Error-Code") == error_code + + @@ -158,0 +186,18 @@ def test_get_splits_next(client: TestClient) -> None: +# the logic below is just to check the cookie and authorization headers are managed correctly [email protected]( + "headers,status_code,error_code", + [ + ({"Cookie": "some cookie"}, 401, "ExternalUnauthenticatedError"), + ({"Authorization": "Bearer invalid"}, 404, "ExternalAuthenticatedError"), + ({}, 404, "SplitsResponseNotFound"), + ], +) [email protected] +def test_splits_next_auth(client: TestClient, headers: Dict[str, str], status_code: int, error_code: str) -> None: + dataset = "dataset-which-does-not-exist" + responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + response = client.get(f"/splits-next?dataset={dataset}", headers=headers) + assert response.status_code == status_code + assert response.headers.get("X-Error-Code") == error_code + + @@ -280,0 +326 @@ def test_split_cache_refreshing(client: TestClient) -> None: [email protected] @@ -282,0 +329,2 @@ def test_splits_cache_refreshing(client: TestClient) -> None: + responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + @@ -296,0 +345 @@ def test_splits_cache_refreshing(client: TestClient) -> None: [email protected] @@ -300,0 +350,2 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None: + responses.add_callback(responses.GET, (EXTERNAL_AUTH_URL or "%s") % dataset, callback=request_callback) + diff --git a/services/api/tests/test_authentication.py b/services/api/tests/test_authentication.py new file mode 100644 index 00000000..535ed9b9 --- /dev/null +++ b/services/api/tests/test_authentication.py @@ -0,0 +1,91 @@ +from typing import Dict + +import pytest +import responses +from starlette.requests import Headers, Request + +from api.authentication import auth_check +from api.utils import ExternalAuthenticatedError, ExternalUnauthenticatedError + +from .utils import request_callback + + +def test_no_auth_check() -> None: + assert auth_check("dataset") is True + + +def test_invalid_auth_check_url() -> None: + with pytest.raises(ValueError): + auth_check("dataset", external_auth_url="https://auth.check/") + + [email protected] +def test_unreachable_external_auth_check_service() -> None: + with pytest.raises(RuntimeError): + auth_check("dataset", external_auth_url="https://auth.check/%s") + + [email protected] +def test_external_auth_responses_without_request() -> None: + dataset = "dataset" + url = "https://auth.check/%s" + responses.add(responses.GET, url % dataset, status=200) + assert auth_check(dataset, external_auth_url=url) is True + + responses.add(responses.GET, url % dataset, status=401) + with pytest.raises(ExternalUnauthenticatedError): + auth_check(dataset, external_auth_url=url) + + responses.add(responses.GET, url % dataset, status=403) + with pytest.raises(ExternalAuthenticatedError): + auth_check(dataset, external_auth_url=url) + + responses.add(responses.GET, url % dataset, status=404) + with pytest.raises(ValueError): + auth_check(dataset, external_auth_url=url) + + +def create_request(headers: Dict[str, str]) -> Request: + return Request( + { + "type": "http", + "path": "/some-path", + "headers": Headers(headers).raw, + "http_version": "1.1", + "method": "GET", + "scheme": "https", + "client": ("127.0.0.1", 8080), + "server": ("some.server", 443), + } + ) + + [email protected] +def test_valid_responses_with_request() -> None: + dataset = "dataset" + url = "https://auth.check/%s" + + responses.add_callback(responses.GET, url % dataset, callback=request_callback) + + with pytest.raises(ExternalUnauthenticatedError): + auth_check( + dataset, + external_auth_url=url, + request=create_request(headers={"cookie": "some cookie"}), + ) + + with pytest.raises(ExternalAuthenticatedError): + auth_check( + dataset, + external_auth_url=url, + request=create_request(headers={"authorization": "Bearer token"}), + ) + + assert ( + auth_check( + dataset, + external_auth_url=url, + request=create_request(headers={}), + ) + is True + ) diff --git a/services/api/tests/utils.py b/services/api/tests/utils.py new file mode 100644 index 00000000..3c2b18cb --- /dev/null +++ b/services/api/tests/utils.py @@ -0,0 +1,16 @@ +from typing import Mapping, Tuple, Union + +from requests import PreparedRequest +from responses import _Body + + +def request_callback(request: PreparedRequest) -> Union[Exception, Tuple[int, Mapping[str, str], _Body]]: + # return 401 if a cookie has been provided, 403 if a token has been provided, + # and 401 if none has been provided + # there is no logic behind this behavior, it's just to test if the cookie and + # token are correctly passed to the auth_check service + if request.headers.get("cookie"): + return (401, {"Content-Type": "text/plain"}, "OK") + if request.headers.get("authorization"): + return (403, {"Content-Type": "text/plain"}, "OK") + return (200, {"Content-Type": "text/plain"}, "OK") diff --git a/services/worker/Makefile b/services/worker/Makefile index 075bfeeb..aae0dd9d 100644 --- a/services/worker/Makefile +++ b/services/worker/Makefile @@ -11 +11,2 @@ PILLOW_EXCEPTIONS := -i 44525 -i 44524 -i 44486 -i 44485 -i 45356 -i 44487 -SAFETY_EXCEPTIONS := $(PILLOW_EXCEPTIONS) +UJSON_EXCEPTIONS := -i 49754 -i 49755 +SAFETY_EXCEPTIONS := $(PILLOW_EXCEPTIONS) $(UJSON_EXCEPTIONS) diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index f68ec384..7b83a692 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -614 +614 @@ name = "fsspec" -version = "2022.5.0" +version = "2022.7.1" @@ -3163,4 +3163 @@ frozenlist = [ -fsspec = [ - {file = "fsspec-2022.5.0-py3-none-any.whl", hash = "sha256:2c198c50eb541a80bbd03540b07602c4a957366f3fb416a1f270d34bd4ff0926"}, - {file = "fsspec-2022.5.0.tar.gz", hash = "sha256:7a5459c75c44e760fbe6a3ccb1f37e81e023cde7da8ba20401258d877ec483b4"}, -] +fsspec = [] diff --git a/tools/Python.mk b/tools/Python.mk index 97a0c86e..f606049a 100644 --- a/tools/Python.mk +++ b/tools/Python.mk @@ -46,2 +46,2 @@ test: - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down + MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up @@ -49 +49 @@ test: - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down @@ -53,2 +53,2 @@ coverage: - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down + MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} EXTERNAL_AUTH_URL=${TEST_EXTERNAL_AUTH_URL} $(MAKE) up @@ -56 +56 @@ coverage: - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down + COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) down diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index 62ecad1a..36494020 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -35,0 +36 @@ services: + EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL} diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index 882da3bb..9eafb7b6 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -32,0 +33 @@ services: + EXTERNAL_AUTH_URL: ${EXTERNAL_AUTH_URL-""}
b1bfabf92d0e16fa52d39bcf75a2794ee91e37d7
Sylvain Lesage
2022-08-03T21:42:51
Allow multiple uvicorn workers (#497)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 590f3fb6..e6c4fe3b 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-9925506", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f8179b9", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-645ac01", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-1f51ac9", diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 134c1964..1c4409bf 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -91 +91 @@ api: - cpu: 1 + cpu: 4 @@ -94,2 +94,2 @@ api: - cpu: 1 - memory: "1Gi" + cpu: 4 + memory: "4Gi" @@ -97 +97,4 @@ api: - appNumWorkers: "1" + # Number of uvicorn workers for running the application + # (2 x $num_cores) + 1 + # https://docs.gunicorn.org/en/stable/design.html#how-many-workers + appNumWorkers: 9 @@ -182 +185,2 @@ admin: - cpu: 1 + cpu: 4 + memory: "512Mi" @@ -184 +188,3 @@ admin: - cpu: 1 + cpu: 4 + memory: "4Gi" + @@ -186 +192,4 @@ admin: - appNumWorkers: "1" + # Number of uvicorn workers for running the application + # (2 x $num_cores) + 1 + # https://docs.gunicorn.org/en/stable/design.html#how-many-workers + appNumWorkers: 9 diff --git a/chart/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl index c378d31e..f8dfad76 100644 --- a/chart/templates/admin/_container.tpl +++ b/chart/templates/admin/_container.tpl @@ -31,0 +32,2 @@ + - name: PROMETHEUS_MULTIPROC_DIR + value: {{ .Values.admin.prometheusMultiprocDirectory | quote }} diff --git a/chart/templates/api/_container.tpl b/chart/templates/api/_container.tpl index 1c551afe..c316704e 100644 --- a/chart/templates/api/_container.tpl +++ b/chart/templates/api/_container.tpl @@ -31,0 +32,2 @@ + - name: PROMETHEUS_MULTIPROC_DIR + value: {{ .Values.api.prometheusMultiprocDirectory | quote }} diff --git a/chart/values.yaml b/chart/values.yaml index 5e8972ff..25ff4445 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -98,0 +99,3 @@ api: + # Directory where the uvicorn workers will write the prometheus metrics + # see https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn + prometheusMultiprocDirectory: "/tmp" @@ -301,0 +305,3 @@ admin: + # Directory where the uvicorn workers share their prometheus metrics + # see https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn + prometheusMultiprocDirectory: "/tmp" diff --git a/services/admin/README.md b/services/admin/README.md index 2c94342f..48a75a8b 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -25,0 +26 @@ Set environment variables to configure the following aspects: +- `PROMETHEUS_MULTIPROC_DIR`: the directory where the uvicorn workers share their prometheus metrics. See https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn. Defaults to empty, in which case every worker manages its own metrics, and the /metrics endpoint returns the metrics of a random worker. diff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py index df84b0f1..1649b001 100644 --- a/services/admin/src/admin/prometheus.py +++ b/services/admin/src/admin/prometheus.py @@ -37 +37 @@ class Prometheus: - if "prometheus_multiproc_dir" in os.environ: + if "PROMETHEUS_MULTIPROC_DIR" in os.environ: diff --git a/services/api/README.md b/services/api/README.md index e8656d64..fd0e73cc 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -28,0 +29 @@ Set environment variables to configure the following aspects: +- `PROMETHEUS_MULTIPROC_DIR`: the directory where the uvicorn workers share their prometheus metrics. See https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn. Defaults to empty, in which case every worker manages its own metrics, and the /metrics endpoint returns the metrics of a random worker. diff --git a/services/api/src/api/prometheus.py b/services/api/src/api/prometheus.py index 29e5a342..8de107e8 100644 --- a/services/api/src/api/prometheus.py +++ b/services/api/src/api/prometheus.py @@ -19 +19 @@ class Prometheus: - if "prometheus_multiproc_dir" in os.environ: + if "PROMETHEUS_MULTIPROC_DIR" in os.environ:
9b4065c923965c2f56e537801b51b0b0e84ff29c
Sylvain Lesage
2022-08-02T17:17:50
fix: 🐛 endpoint is reserved in prometheus (#494)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 8354684e..590f3fb6 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e57c833", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-9925506", diff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py index 821477be..df84b0f1 100644 --- a/services/admin/src/admin/prometheus.py +++ b/services/admin/src/admin/prometheus.py @@ -52,2 +52,2 @@ class Prometheus: - self.metrics["cached_responses_total"] = Gauge( - "cached_responses_total", + self.metrics["responses_in_cache_total"] = Gauge( + "responses_in_cache_total", @@ -55 +55 @@ class Prometheus: - ["endpoint", "http_status", "error_code"], + ["path", "http_status", "error_code"], @@ -73,2 +73,2 @@ class Prometheus: - self.metrics["cached_responses_total"].labels( - endpoint="/splits", http_status=http_status, error_code=error_code + self.metrics["responses_in_cache_total"].labels( + path="/splits", http_status=http_status, error_code=error_code @@ -78,2 +78,2 @@ class Prometheus: - self.metrics["cached_responses_total"].labels( - endpoint="/first-rows", http_status=http_status, error_code=error_code + self.metrics["responses_in_cache_total"].labels( + path="/first-rows", http_status=http_status, error_code=error_code diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 945ce100..0263ca87 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -54 +54 @@ def test_metrics(client: TestClient) -> None: - assert 'cached_responses_total{endpoint="/splits",http_status="200",error_code=null}' not in metrics + assert 'responses_in_cache_total{path="/splits",http_status="200",error_code=null}' not in metrics @@ -56 +56 @@ def test_metrics(client: TestClient) -> None: - assert 'cached_responses_total{endpoint="/first-rows",http_status="200",error_code=null}' not in metrics + assert 'responses_in_cache_total{path="/first-rows",http_status="200",error_code=null}' not in metrics
1aeb7744c219b4aef19b01280ae57ad15fecbe6a
Sylvain Lesage
2022-08-01T19:58:47
Add error code to metrics (#492)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index c316144c..8354684e 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-51f3046", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e57c833", diff --git a/libs/libcache/dist/libcache-0.1.27-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.27-py3-none-any.whl new file mode 100644 index 00000000..b5cac75f Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.27-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.27.tar.gz b/libs/libcache/dist/libcache-0.1.27.tar.gz new file mode 100644 index 00000000..62e31860 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.27.tar.gz differ diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index 75a9cdd4..640c0fdd 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5 +5 @@ name = "libcache" -version = "0.1.26" +version = "0.1.27" diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index d5aa925d..1687a70a 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -65 +65,7 @@ class SplitsResponse(Document): - "indexes": ["dataset_name", "http_status", "stale", "error_code"], + "indexes": [ + "dataset_name", + "http_status", + "stale", + ("http_status", "error_code"), + ("error_code", "http_status"), + ], @@ -91 +97,2 @@ class FirstRowsResponse(Document): - "error_code", + ("http_status", "error_code"), + ("error_code", "http_status"), @@ -216,2 +223 @@ def get_valid_dataset_names() -> List[str]: - -CountByHTTPStatus = Dict[str, int] +CountByHttpStatusAndErrorCode = Dict[str, Dict[Optional[str], int]] @@ -220,2 +226 @@ CountByHTTPStatus = Dict[str, int] -def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPStatus: - # return {http_status.name: entries(http_status=http_status).count() for http_status in HTTPStatus} +def get_entries_count_by_status_and_error_code(entries: QuerySet[AnyResponse]) -> CountByHttpStatusAndErrorCode: @@ -223 +228,4 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt - HTTPStatus(http_status).name: entries(http_status=http_status).count() + str(http_status): { + error_code: entries(http_status=http_status, error_code=error_code).count() + for error_code in entries(http_status=http_status).distinct("error_code") + } @@ -228,17 +236,2 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt -def get_splits_responses_count_by_status() -> CountByHTTPStatus: - return get_entries_count_by_status(SplitsResponse.objects) - - -def get_first_rows_responses_count_by_status() -> CountByHTTPStatus: - return get_entries_count_by_status(FirstRowsResponse.objects) - - -CountByErrorCode = Dict[str, int] - - -def get_entries_count_by_error_code(entries: QuerySet[AnyResponse]) -> CountByErrorCode: - return {error_code: entries(error_code=error_code).count() for error_code in entries.distinct("error_code")} - - -def get_splits_responses_count_by_error_code() -> CountByErrorCode: - return get_entries_count_by_error_code(SplitsResponse.objects) +def get_splits_responses_count_by_status_and_error_code() -> CountByHttpStatusAndErrorCode: + return get_entries_count_by_status_and_error_code(SplitsResponse.objects) @@ -247,2 +240,2 @@ def get_splits_responses_count_by_error_code() -> CountByErrorCode: -def get_first_rows_responses_count_by_error_code() -> CountByErrorCode: - return get_entries_count_by_error_code(FirstRowsResponse.objects) +def get_first_rows_responses_count_by_status_and_error_code() -> CountByHttpStatusAndErrorCode: + return get_entries_count_by_status_and_error_code(FirstRowsResponse.objects) diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index 38dd2239..47fc734a 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -19 +19 @@ from libcache.simple_cache import ( - get_first_rows_responses_count_by_status, + get_first_rows_responses_count_by_status_and_error_code, @@ -21 +21 @@ from libcache.simple_cache import ( - get_splits_responses_count_by_status, + get_splits_responses_count_by_status_and_error_code, @@ -196,2 +196,2 @@ def test_valid() -> None: -def test_count_by_status() -> None: - assert "OK" not in get_splits_responses_count_by_status() +def test_count_by_status_and_error_code() -> None: + assert "OK" not in get_splits_responses_count_by_status_and_error_code() @@ -200 +200 @@ def test_count_by_status() -> None: - "test_dataset2", + "test_dataset", @@ -205,2 +205,2 @@ def test_count_by_status() -> None: - assert get_splits_responses_count_by_status()["OK"] == 1 - assert "OK" not in get_first_rows_responses_count_by_status() + assert get_splits_responses_count_by_status_and_error_code() == {"200": {None: 1}} + assert get_first_rows_responses_count_by_status_and_error_code() == {} @@ -218 +218,17 @@ def test_count_by_status() -> None: - assert get_splits_responses_count_by_status()["OK"] == 1 + assert get_first_rows_responses_count_by_status_and_error_code() == {"200": {None: 1}} + + upsert_first_rows_response( + "test_dataset", + "test_config", + "test_split2", + { + "key": "value", + }, + HTTPStatus.INTERNAL_SERVER_ERROR, + error_code="error_code", + ) + + assert get_first_rows_responses_count_by_status_and_error_code() == { + "200": {None: 1}, + "500": {"error_code": 1}, + } diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 6047b718..6f32ca46 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -456 +456 @@ name = "libcache" -version = "0.1.26" +version = "0.1.27" @@ -470 +470 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.27-py3-none-any.whl" @@ -1201 +1201 @@ python-versions = "3.9.6" -content-hash = "260c0d8ad53786636993ddd761239852cde9672b2989a4389a68f186e01fef94" +content-hash = "50eec29af5cd07edda31342cf6e0621dfb3203a02cb522247f3aa2f20da5000f" @@ -1471 +1471 @@ libcache = [ - {file = "libcache-0.1.26-py3-none-any.whl", hash = "sha256:bde90c71b4bb7e94aff415d2970cf9ccb5c5107e8661ee7bdb76d09a9881b901"}, + {file = "libcache-0.1.27-py3-none-any.whl", hash = "sha256:55207cdd76475dc3bd7d8f60b2d053b6101401ca4ad44570d74e40e7e240e607"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index ef2a61f9..d59f61b7 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -9 +9 @@ huggingface-hub = "^0.6.0" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.27-py3-none-any.whl", develop = false } diff --git a/services/admin/src/admin/prometheus.py b/services/admin/src/admin/prometheus.py index 3b375e6e..821477be 100644 --- a/services/admin/src/admin/prometheus.py +++ b/services/admin/src/admin/prometheus.py @@ -6,2 +6,2 @@ from libcache.simple_cache import ( - get_first_rows_responses_count_by_status, - get_splits_responses_count_by_status, + get_first_rows_responses_count_by_status_and_error_code, + get_splits_responses_count_by_status_and_error_code, @@ -51,0 +52,5 @@ class Prometheus: + self.metrics["cached_responses_total"] = Gauge( + "cached_responses_total", + "Number of cached responses in the cache", + ["endpoint", "http_status", "error_code"], + ) @@ -66,4 +71,10 @@ class Prometheus: - for status, total in get_splits_responses_count_by_status().items(): - self.metrics["cache_entries_total"].labels(cache="splits/", status=status).set(total) - for status, total in get_first_rows_responses_count_by_status().items(): - self.metrics["cache_entries_total"].labels(cache="first-rows/", status=status).set(total) + for http_status, by_error_code in get_splits_responses_count_by_status_and_error_code().items(): + for error_code, total in by_error_code.items(): + self.metrics["cached_responses_total"].labels( + endpoint="/splits", http_status=http_status, error_code=error_code + ).set(total) + for http_status, by_error_code in get_first_rows_responses_count_by_status_and_error_code().items(): + for error_code, total in by_error_code.items(): + self.metrics["cached_responses_total"].labels( + endpoint="/first-rows", http_status=http_status, error_code=error_code + ).set(total) diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 843194c4..945ce100 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -54 +54 @@ def test_metrics(client: TestClient) -> None: - assert 'cache_entries_total{cache="splits/",status="BAD_REQUEST"}' not in metrics + assert 'cached_responses_total{endpoint="/splits",http_status="200",error_code=null}' not in metrics @@ -56 +56 @@ def test_metrics(client: TestClient) -> None: - assert 'cache_entries_total{cache="first-rows/",status="INTERNAL_SERVER_ERROR"}' not in metrics + assert 'cached_responses_total{endpoint="/first-rows",http_status="200",error_code=null}' not in metrics
8e481c0c2326538366441ac7769f23d833c674a4
Sylvain Lesage
2022-08-01T16:33:32
Optimize reports pagination (#490)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index b16f7143..c316144c 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ea0ed8d", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-51f3046", diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 564f58af..134c1964 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -186,0 +187,2 @@ admin: + # Number of reports in /cache-reports/... endpoints + cacheReportsNumResults: 1000 diff --git a/chart/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl index e1e639e8..c378d31e 100644 --- a/chart/templates/admin/_container.tpl +++ b/chart/templates/admin/_container.tpl @@ -11,0 +12,2 @@ + - name: CACHE_REPORTS_NUM_RESULTS + value: {{ .Values.admin.cacheReportsNumResults | quote }} diff --git a/chart/values.yaml b/chart/values.yaml index 1c2d7f86..5e8972ff 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -295,0 +296,2 @@ admin: + # Number of reports in /cache-reports/... endpoints + cacheReportsNumResults: 100 diff --git a/libs/libcache/dist/libcache-0.1.26-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.26-py3-none-any.whl new file mode 100644 index 00000000..eec362b7 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.26-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.26.tar.gz b/libs/libcache/dist/libcache-0.1.26.tar.gz new file mode 100644 index 00000000..9de122cb Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.26.tar.gz differ diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index fa409d6d..75a9cdd4 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5 +5 @@ name = "libcache" -version = "0.1.25" +version = "0.1.26" diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 972dba72..d5aa925d 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -5 +5 @@ from http import HTTPStatus -from typing import Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVar, Union +from typing import Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVar @@ -269,12 +269 @@ def get_datasets_with_some_error() -> List[str]: -class _ErrorReport(TypedDict): - message: str - - -class ErrorReport(_ErrorReport, total=False): - error_code: str - cause_exception: str - cause_message: str - cause_traceback: List[str] - - -class _ResponseReport(TypedDict): +class SplitsResponseReport(TypedDict): @@ -283,4 +272 @@ class _ResponseReport(TypedDict): - - -class SplitsResponseReport(_ResponseReport, total=False): - error: Optional[ErrorReport] + error_code: Optional[str] @@ -304,42 +289,0 @@ class CacheReportFirstRows(TypedDict): -def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[ErrorReport]: - details = object.details - if not details: - return None - if "error" not in details: - raise ValueError("Missing message in object details") - report: ErrorReport = {"message": details["error"]} - if "cause_exception" in details: - report["cause_exception"] = details["cause_exception"] - if "cause_message" in details: - report["cause_message"] = details["cause_message"] - if "cause_traceback" in details: - report["cause_traceback"] = details["cause_traceback"] - if object.error_code is not None: - report["error_code"] = object.error_code - return report - - -def get_splits_next_report(object: SplitsResponse) -> SplitsResponseReport: - report: SplitsResponseReport = { - "dataset": object.dataset_name, - "http_status": object.http_status.value, - } - error = get_error(object) - if error is not None: - report["error"] = error - return report - - -def get_first_rows_report(object: FirstRowsResponse) -> FirstRowsResponseReport: - report: FirstRowsResponseReport = { - "dataset": object.dataset_name, - "config": object.config_name, - "split": object.split_name, - "http_status": object.http_status.value, - } - error = get_error(object) - if error is not None: - report["error"] = error - return report - - @@ -385,5 +329 @@ def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsN - objects = list( - queryset.order_by("+id") - .only("id", "dataset_name", "http_status", "response", "details", "error_code") - .limit(limit) - ) + objects = list(queryset.order_by("+id").only("id", "dataset_name", "http_status", "error_code").limit(limit)) @@ -392 +332,8 @@ def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsN - "cache_reports": [get_splits_next_report(object) for object in objects], + "cache_reports": [ + { + "dataset": object.dataset_name, + "http_status": object.http_status.value, + "error_code": object.error_code, + } + for object in objects + ], @@ -430 +377 @@ def get_cache_reports_first_rows(cursor: Optional[str], limit: int) -> CacheRepo - .only("id", "dataset_name", "config_name", "split_name", "http_status", "response", "details", "error_code") + .only("id", "dataset_name", "config_name", "split_name", "http_status", "error_code") @@ -434 +381,10 @@ def get_cache_reports_first_rows(cursor: Optional[str], limit: int) -> CacheRepo - "cache_reports": [get_first_rows_report(object) for object in objects], + "cache_reports": [ + { + "dataset": object.dataset_name, + "config": object.config_name, + "split": object.split_name, + "http_status": object.http_status.value, + "error_code": object.error_code, + } + for object in objects + ], diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index 844d95c7..38dd2239 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -1,0 +2 @@ from http import HTTPStatus +from time import process_time @@ -257 +258 @@ def test_get_cache_reports_splits_next() -> None: - {"dataset": "a", "http_status": HTTPStatus.OK.value}, + {"dataset": "a", "http_status": HTTPStatus.OK.value, "error_code": None}, @@ -261,7 +262 @@ def test_get_cache_reports_splits_next() -> None: - "error": { - "cause_exception": "ExceptionB", - "cause_message": "Cause message B", - "cause_traceback": ["B"], - "error_code": "ErrorCodeB", - "message": "error B", - }, + "error_code": "ErrorCodeB", @@ -279,7 +274 @@ def test_get_cache_reports_splits_next() -> None: - "error": { - "cause_exception": "ExceptionC", - "cause_message": "Cause message C", - "cause_traceback": ["C"], - "error_code": "ErrorCodeC", - "message": "error C", - }, + "error_code": "ErrorCodeC", @@ -340 +329 @@ def test_get_cache_reports_first_rows() -> None: - response = get_cache_reports_first_rows(None, 2) + response = get_cache_reports_first_rows("", 2) @@ -342 +331 @@ def test_get_cache_reports_first_rows() -> None: - {"dataset": "a", "config": "config", "split": "split", "http_status": HTTPStatus.OK.value}, + {"dataset": "a", "config": "config", "split": "split", "http_status": HTTPStatus.OK.value, "error_code": None}, @@ -348,7 +337 @@ def test_get_cache_reports_first_rows() -> None: - "error": { - "cause_exception": "ExceptionB", - "cause_message": "Cause message B", - "cause_traceback": ["B"], - "error_code": "ErrorCodeB", - "message": "error B", - }, + "error_code": "ErrorCodeB", @@ -368,7 +351 @@ def test_get_cache_reports_first_rows() -> None: - "error": { - "cause_exception": "ExceptionC", - "cause_message": "Cause message C", - "cause_traceback": ["C"], - "error_code": "ErrorCodeC", - "message": "error C", - }, + "error_code": "ErrorCodeC", @@ -385,0 +363,24 @@ def test_get_cache_reports_first_rows() -> None: + + [email protected]("num_entries", [100, 1_000]) +def test_stress_get_cache_reports_first_rows(num_entries: int) -> None: + MAX_SECONDS = 0.1 + assert get_cache_reports_first_rows("", 2) == {"cache_reports": [], "next_cursor": ""} + split_names = [f"split{i}" for i in range(num_entries)] + for split_name in split_names: + upsert_first_rows_response( + "dataset", + "config", + split_name, + {"key": "value"}, + HTTPStatus.OK, + ) + + next_cursor = "" + is_first: bool = True + while next_cursor != "" or is_first: + start = process_time() + is_first = False + response = get_cache_reports_first_rows(next_cursor, 100) + next_cursor = response["next_cursor"] + assert process_time() - start < MAX_SECONDS diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 1f3ad8e0..6047b718 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -456 +456 @@ name = "libcache" -version = "0.1.25" +version = "0.1.26" @@ -470 +470 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl" @@ -1201 +1201 @@ python-versions = "3.9.6" -content-hash = "adbce52f15ffbb04e3d700f3a8286c94609d15d17b41eaa4d7160467e2b032d3" +content-hash = "260c0d8ad53786636993ddd761239852cde9672b2989a4389a68f186e01fef94" @@ -1471 +1471 @@ libcache = [ - {file = "libcache-0.1.25-py3-none-any.whl", hash = "sha256:bf457cd2d1b688c7350b61f0d62c55a37d46f2f8aa014fbbd6b065d72616a1de"}, + {file = "libcache-0.1.26-py3-none-any.whl", hash = "sha256:bde90c71b4bb7e94aff415d2970cf9ccb5c5107e8661ee7bdb76d09a9881b901"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index c24bcf9f..ef2a61f9 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -9 +9 @@ huggingface-hub = "^0.6.0" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.26-py3-none-any.whl", develop = false }
5b4aa5679ba758b7a11b696aa38c57fcfcc4e29c
Sylvain Lesage
2022-07-29T20:34:15
feat: 🎸 update docker (#489)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 49f5a224..b16f7143 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a0a031b", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-ea0ed8d",
0218b5030400862bdb859c17027f41b543535ed2
Sylvain Lesage
2022-07-29T20:31:49
Add cache reports endpoint (#487)
diff --git a/e2e/Makefile b/e2e/Makefile index 60d82a73..adb4b3b2 100644 --- a/e2e/Makefile +++ b/e2e/Makefile @@ -20 +20 @@ e2e: - PYTEST_ARGS=-vv make test + make test diff --git a/libs/libcache/dist/libcache-0.1.24-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.24-py3-none-any.whl new file mode 100644 index 00000000..f5ada4a5 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.24-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.24.tar.gz b/libs/libcache/dist/libcache-0.1.24.tar.gz new file mode 100644 index 00000000..65bb4b76 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.24.tar.gz differ diff --git a/libs/libcache/dist/libcache-0.1.25-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.25-py3-none-any.whl new file mode 100644 index 00000000..8b99819c Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.25-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.25.tar.gz b/libs/libcache/dist/libcache-0.1.25.tar.gz new file mode 100644 index 00000000..0976c822 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.25.tar.gz differ diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index 29d21556..fa409d6d 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5 +5 @@ name = "libcache" -version = "0.1.23" +version = "0.1.25" diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 11a01ff0..972dba72 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -6,0 +7,2 @@ from typing import Dict, Generic, List, Optional, Tuple, Type, TypedDict, TypeVa +from bson import ObjectId +from bson.errors import InvalidId @@ -12,0 +15 @@ from mongoengine.fields import ( + ObjectIdField, @@ -49,0 +53 @@ class SplitsResponse(Document): + id = ObjectIdField(db_field="_id", primary_key=True, default=ObjectId) @@ -67,0 +72 @@ class FirstRowsResponse(Document): + id = ObjectIdField(db_field="_id", primary_key=True, default=ObjectId) @@ -261 +266 @@ def get_datasets_with_some_error() -> List[str]: -# /cache-reports endpoints +# /cache-reports/... endpoints @@ -268,0 +274 @@ class ErrorReport(_ErrorReport, total=False): + error_code: str @@ -269,0 +276,2 @@ class ErrorReport(_ErrorReport, total=False): + cause_message: str + cause_traceback: List[str] @@ -272 +280 @@ class ErrorReport(_ErrorReport, total=False): -class SplitsResponseReport(TypedDict): +class _ResponseReport(TypedDict): @@ -274 +282,4 @@ class SplitsResponseReport(TypedDict): - status: int + http_status: int + + +class SplitsResponseReport(_ResponseReport, total=False): @@ -278,2 +289 @@ class SplitsResponseReport(TypedDict): -class FirstRowsResponseReport(TypedDict): - dataset: str +class FirstRowsResponseReport(SplitsResponseReport): @@ -282,2 +292,10 @@ class FirstRowsResponseReport(TypedDict): - status: int - error: Optional[ErrorReport] + + +class CacheReportSplitsNext(TypedDict): + cache_reports: List[SplitsResponseReport] + next_cursor: str + + +class CacheReportFirstRows(TypedDict): + cache_reports: List[FirstRowsResponseReport] + next_cursor: str @@ -287 +305,2 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro - if object.http_status == HTTPStatus.OK: + details = object.details + if not details: @@ -289,5 +308,11 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro - if "error" not in object.response: - raise ValueError("Missing message in error response") - report: ErrorReport = {"message": object.response["error"]} - if "cause_exception" in object.response: - report["cause_exception"] = object.response["cause_exception"] + if "error" not in details: + raise ValueError("Missing message in object details") + report: ErrorReport = {"message": details["error"]} + if "cause_exception" in details: + report["cause_exception"] = details["cause_exception"] + if "cause_message" in details: + report["cause_message"] = details["cause_message"] + if "cause_traceback" in details: + report["cause_traceback"] = details["cause_traceback"] + if object.error_code is not None: + report["error_code"] = object.error_code @@ -297,9 +322,9 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro -def get_splits_response_reports() -> List[SplitsResponseReport]: - return [ - { - "dataset": response.dataset_name, - "status": response.http_status.value, - "error": get_error(response), - } - for response in SplitsResponse.objects() - ] +def get_splits_next_report(object: SplitsResponse) -> SplitsResponseReport: + report: SplitsResponseReport = { + "dataset": object.dataset_name, + "http_status": object.http_status.value, + } + error = get_error(object) + if error is not None: + report["error"] = error + return report @@ -308,11 +333,104 @@ def get_splits_response_reports() -> List[SplitsResponseReport]: -def get_first_rows_response_reports() -> List[FirstRowsResponseReport]: - return [ - { - "dataset": response.dataset_name, - "config": response.config_name, - "split": response.split_name, - "status": response.http_status.value, - "error": get_error(response), - } - for response in FirstRowsResponse.objects() - ] +def get_first_rows_report(object: FirstRowsResponse) -> FirstRowsResponseReport: + report: FirstRowsResponseReport = { + "dataset": object.dataset_name, + "config": object.config_name, + "split": object.split_name, + "http_status": object.http_status.value, + } + error = get_error(object) + if error is not None: + report["error"] = error + return report + + +class InvalidCursor(Exception): + pass + + +class InvalidLimit(Exception): + pass + + +def get_cache_reports_splits_next(cursor: str, limit: int) -> CacheReportSplitsNext: + """ + Get a list of reports about SplitsResponse cache entries, along with the next cursor. + See https://solovyov.net/blog/2020/api-pagination-design/. + Args: + cursor (`str`): + An opaque string value representing a pointer to a specific SplitsResponse item in the dataset. The + server returns results after the given pointer. + An empty string means to start from the beginning. + limit (strictly positive `int`): + The maximum number of results. + Returns: + [`CacheReportSplitsNext`]: A dict with the list of reports and the next cursor. The next cursor is + an empty string if there are no more items to be fetched. + <Tip> + Raises the following errors: + - [`~libcache.simple_cache.InvalidCursor`] + If the cursor is invalid. + - [`~libcache.simple_cache.InvalidLimit`] + If the limit is an invalid number. + </Tip> + """ + if not cursor: + queryset = SplitsResponse.objects() + else: + try: + queryset = SplitsResponse.objects(id__gt=ObjectId(cursor)) + except InvalidId as err: + raise InvalidCursor("Invalid cursor.") from err + if limit <= 0: + raise InvalidLimit("Invalid limit.") + objects = list( + queryset.order_by("+id") + .only("id", "dataset_name", "http_status", "response", "details", "error_code") + .limit(limit) + ) + + return { + "cache_reports": [get_splits_next_report(object) for object in objects], + "next_cursor": "" if len(objects) < limit else str(objects[-1].id), + } + + +def get_cache_reports_first_rows(cursor: Optional[str], limit: int) -> CacheReportFirstRows: + """ + Get a list of reports about FirstRowsResponse cache entries, along with the next cursor. + See https://solovyov.net/blog/2020/api-pagination-design/. + Args: + cursor (`str`): + An opaque string value representing a pointer to a specific FirstRowsResponse item in the dataset. The + server returns results after the given pointer. + An empty string means to start from the beginning. + limit (strictly positive `int`): + The maximum number of results. + Returns: + [`CacheReportFirstRows`]: A dict with the list of reports and the next cursor. The next cursor is + an empty string if there are no more items to be fetched. + <Tip> + Raises the following errors: + - [`~libcache.simple_cache.InvalidCursor`] + If the cursor is invalid. + - [`~libcache.simple_cache.InvalidLimit`] + If the limit is an invalid number. + </Tip> + """ + if not cursor: + queryset = FirstRowsResponse.objects() + else: + try: + queryset = FirstRowsResponse.objects(id__gt=ObjectId(cursor)) + except InvalidId as err: + raise InvalidCursor("Invalid cursor.") from err + if limit <= 0: + raise InvalidLimit("Invalid limit.") + objects = list( + queryset.order_by("+id") + .only("id", "dataset_name", "config_name", "split_name", "http_status", "response", "details", "error_code") + .limit(limit) + ) + return { + "cache_reports": [get_first_rows_report(object) for object in objects], + "next_cursor": "" if len(objects) < limit else str(objects[-1].id), + } diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index 470923b4..844d95c7 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -7,0 +8,2 @@ from libcache.simple_cache import ( + InvalidCursor, + InvalidLimit, @@ -11,0 +14,2 @@ from libcache.simple_cache import ( + get_cache_reports_first_rows, + get_cache_reports_splits_next, @@ -14 +17,0 @@ from libcache.simple_cache import ( - get_first_rows_response_reports, @@ -17 +19,0 @@ from libcache.simple_cache import ( - get_splits_response_reports, @@ -218,2 +220,2 @@ def test_count_by_status() -> None: -def test_reports() -> None: - assert get_splits_response_reports() == [] +def test_get_cache_reports_splits_next() -> None: + assert get_cache_reports_splits_next("", 2) == {"cache_reports": [], "next_cursor": ""} @@ -224,0 +227,6 @@ def test_reports() -> None: + b_details = { + "error": "error B", + "cause_exception": "ExceptionB", + "cause_message": "Cause message B", + "cause_traceback": ["B"], + } @@ -227,27 +235,4 @@ def test_reports() -> None: - { - "error": "Cannot get the split names for the dataset.", - "cause_exception": "FileNotFoundError", - "cause_message": ( - "Couldn't find a dataset script at /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data" - " file in the same directory. Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either:" - " FileNotFoundError: Dataset 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private," - " make sure you are authenticated with `use_auth_token=True` after logging in with `huggingface-cli" - " login`." - ), - "cause_traceback": [ - "Traceback (most recent call last):\n", - ' File "/src/services/worker/src/worker/models/dataset.py", line 17, in' - " get_dataset_split_full_names\n for config_name in get_dataset_config_names(dataset_name," - " use_auth_token=hf_token)\n", - ' File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in' - " get_dataset_config_names\n dataset_module = dataset_module_factory(\n", - ' File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1242, in' - " dataset_module_factory\n raise FileNotFoundError(\n", - "FileNotFoundError: Couldn't find a dataset script at" - " /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data file in the same directory." - " Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either: FileNotFoundError: Dataset" - " 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private, make sure you are" - " authenticated with `use_auth_token=True` after logging in with `huggingface-cli login`.\n", - ], - }, - HTTPStatus.BAD_REQUEST, + b_details, + HTTPStatus.INTERNAL_SERVER_ERROR, + "ErrorCodeB", + b_details, @@ -254,0 +240,6 @@ def test_reports() -> None: + c_details = { + "error": "error C", + "cause_exception": "ExceptionC", + "cause_message": "Cause message C", + "cause_traceback": ["C"], + } @@ -258 +249 @@ def test_reports() -> None: - "error": "cannot write mode RGBA as JPEG", + "error": c_details["error"], @@ -261,28 +252,2 @@ def test_reports() -> None: - "RowsPostProcessingError", - { - "status_code": 500, - "message": "cannot write mode RGBA as JPEG", - "cause_exception": "FileNotFoundError", - "cause_message": ( - "Couldn't find a dataset script at /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data" - " file in the same directory. Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either:" - " FileNotFoundError: Dataset 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private," - " make sure you are authenticated with `use_auth_token=True` after logging in with `huggingface-cli" - " login`." - ), - "cause_traceback": [ - "Traceback (most recent call last):\n", - ' File "/src/services/worker/src/worker/models/dataset.py", line 17, in' - " get_dataset_split_full_names\n for config_name in get_dataset_config_names(dataset_name," - " use_auth_token=hf_token)\n", - ' File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 289, in' - " get_dataset_config_names\n dataset_module = dataset_module_factory(\n", - ' File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1242, in' - " dataset_module_factory\n raise FileNotFoundError(\n", - "FileNotFoundError: Couldn't find a dataset script at" - " /src/services/worker/wikimedia/timit_asr/timit_asr.py or any data file in the same directory." - " Couldn't find 'wikimedia/timit_asr' on the Hugging Face Hub either: FileNotFoundError: Dataset" - " 'wikimedia/timit_asr' doesn't exist on the Hub. If the repo is private, make sure you are" - " authenticated with `use_auth_token=True` after logging in with `huggingface-cli login`.\n", - ], - }, + "ErrorCodeC", + c_details, @@ -290,2 +255,3 @@ def test_reports() -> None: - assert get_splits_response_reports() == [ - {"dataset": "a", "error": None, "status": HTTPStatus.OK.value}, + response = get_cache_reports_splits_next("", 2) + assert response["cache_reports"] == [ + {"dataset": "a", "http_status": HTTPStatus.OK.value}, @@ -293,0 +260 @@ def test_reports() -> None: + "http_status": HTTPStatus.INTERNAL_SERVER_ERROR.value, @@ -295,2 +262,5 @@ def test_reports() -> None: - "cause_exception": "FileNotFoundError", - "message": "Cannot get the split names for the dataset.", + "cause_exception": "ExceptionB", + "cause_message": "Cause message B", + "cause_traceback": ["B"], + "error_code": "ErrorCodeB", + "message": "error B", @@ -298 +267,0 @@ def test_reports() -> None: - "status": HTTPStatus.BAD_REQUEST.value, @@ -299,0 +269,64 @@ def test_reports() -> None: + ] + assert response["next_cursor"] != "" + next_cursor = response["next_cursor"] + + response = get_cache_reports_splits_next(next_cursor, 2) + assert response == { + "cache_reports": [ + { + "dataset": "c", + "http_status": HTTPStatus.INTERNAL_SERVER_ERROR.value, + "error": { + "cause_exception": "ExceptionC", + "cause_message": "Cause message C", + "cause_traceback": ["C"], + "error_code": "ErrorCodeC", + "message": "error C", + }, + }, + ], + "next_cursor": "", + } + + with pytest.raises(InvalidCursor): + get_cache_reports_splits_next("not an objectid", 2) + with pytest.raises(InvalidLimit): + get_cache_reports_splits_next(next_cursor, -1) + with pytest.raises(InvalidLimit): + get_cache_reports_splits_next(next_cursor, 0) + + +def test_get_cache_reports_first_rows() -> None: + assert get_cache_reports_first_rows("", 2) == {"cache_reports": [], "next_cursor": ""} + upsert_first_rows_response( + "a", + "config", + "split", + {"key": "value"}, + HTTPStatus.OK, + ) + b_details = { + "error": "error B", + "cause_exception": "ExceptionB", + "cause_message": "Cause message B", + "cause_traceback": ["B"], + } + upsert_first_rows_response( + "b", + "config", + "split", + b_details, + HTTPStatus.INTERNAL_SERVER_ERROR, + "ErrorCodeB", + b_details, + ) + c_details = { + "error": "error C", + "cause_exception": "ExceptionC", + "cause_message": "Cause message C", + "cause_traceback": ["C"], + } + upsert_first_rows_response( + "c", + "config", + "split", @@ -301,3 +334,21 @@ def test_reports() -> None: - "dataset": "c", - "error": {"message": "cannot write mode RGBA as JPEG"}, - "status": HTTPStatus.INTERNAL_SERVER_ERROR.value, + "error": c_details["error"], + }, + HTTPStatus.INTERNAL_SERVER_ERROR, + "ErrorCodeC", + c_details, + ) + response = get_cache_reports_first_rows(None, 2) + assert response["cache_reports"] == [ + {"dataset": "a", "config": "config", "split": "split", "http_status": HTTPStatus.OK.value}, + { + "dataset": "b", + "config": "config", + "split": "split", + "http_status": HTTPStatus.INTERNAL_SERVER_ERROR.value, + "error": { + "cause_exception": "ExceptionB", + "cause_message": "Cause message B", + "cause_traceback": ["B"], + "error_code": "ErrorCodeB", + "message": "error B", + }, @@ -306,2 +357,29 @@ def test_reports() -> None: - - assert get_first_rows_response_reports() == [] + assert response["next_cursor"] != "" + next_cursor = response["next_cursor"] + + response = get_cache_reports_first_rows(next_cursor, 2) + assert response == { + "cache_reports": [ + { + "dataset": "c", + "config": "config", + "split": "split", + "http_status": HTTPStatus.INTERNAL_SERVER_ERROR.value, + "error": { + "cause_exception": "ExceptionC", + "cause_message": "Cause message C", + "cause_traceback": ["C"], + "error_code": "ErrorCodeC", + "message": "error C", + }, + }, + ], + "next_cursor": "", + } + + with pytest.raises(InvalidCursor): + get_cache_reports_first_rows("not an objectid", 2) + with pytest.raises(InvalidLimit): + get_cache_reports_first_rows(next_cursor, -1) + with pytest.raises(InvalidLimit): + get_cache_reports_first_rows(next_cursor, 0) diff --git a/services/admin/.env.example b/services/admin/.env.example index ae4c3eee..2ea324f0 100644 --- a/services/admin/.env.example +++ b/services/admin/.env.example @@ -12,0 +13,3 @@ +# Number of reports in /cache-reports/... endpoints +# CACHE_REPORTS_NUM_RESULTS=100 + diff --git a/services/admin/README.md b/services/admin/README.md index b780fc7f..2c94342f 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -20,0 +21 @@ Set environment variables to configure the following aspects: +- `CACHE_REPORTS_NUM_RESULTS`: the number of results in /cache-reports/... endpoints. Defaults to `100`. diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 5bac7f0d..1f3ad8e0 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -456 +456 @@ name = "libcache" -version = "0.1.23" +version = "0.1.25" @@ -470 +470 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl" @@ -1201 +1201 @@ python-versions = "3.9.6" -content-hash = "eb94ab2091e41d32518871f0038e1d1a0c705d5c5ca0714490ed021d0fb6dc9c" +content-hash = "adbce52f15ffbb04e3d700f3a8286c94609d15d17b41eaa4d7160467e2b032d3" @@ -1471 +1471 @@ libcache = [ - {file = "libcache-0.1.23-py3-none-any.whl", hash = "sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb"}, + {file = "libcache-0.1.25-py3-none-any.whl", hash = "sha256:bf457cd2d1b688c7350b61f0d62c55a37d46f2f8aa014fbbd6b065d72616a1de"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 78fadb79..c24bcf9f 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -9 +9 @@ huggingface-hub = "^0.6.0" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.25-py3-none-any.whl", develop = false } diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index 8e0fd500..9ef5dc5d 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -21 +21,4 @@ from admin.prometheus import Prometheus -from admin.routes.cache_reports import cache_reports_endpoint +from admin.routes.cache_reports import ( + cache_reports_first_rows_endpoint, + cache_reports_splits_next_endpoint, +) @@ -37 +40,2 @@ def create_app() -> Starlette: - Route("/cache-reports", endpoint=cache_reports_endpoint), + Route("/cache-reports/first-rows", endpoint=cache_reports_first_rows_endpoint), + Route("/cache-reports/splits-next", endpoint=cache_reports_splits_next_endpoint), diff --git a/services/admin/src/admin/config.py b/services/admin/src/admin/config.py index e4d5d8b9..f0592808 100644 --- a/services/admin/src/admin/config.py +++ b/services/admin/src/admin/config.py @@ -10,0 +11 @@ from admin.constants import ( + DEFAULT_CACHE_REPORTS_NUM_RESULTS, @@ -24,0 +26,3 @@ ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key="ASSETS_DIRECTORY", d +CACHE_REPORTS_NUM_RESULTS = get_int_value( + d=os.environ, key="CACHE_REPORTS_NUM_RESULTS", default=DEFAULT_CACHE_REPORTS_NUM_RESULTS +) diff --git a/services/admin/src/admin/constants.py b/services/admin/src/admin/constants.py index 26307303..e41c63f9 100644 --- a/services/admin/src/admin/constants.py +++ b/services/admin/src/admin/constants.py @@ -4,0 +5 @@ DEFAULT_ASSETS_DIRECTORY: None = None +DEFAULT_CACHE_REPORTS_NUM_RESULTS: int = 100 diff --git a/services/admin/src/admin/routes/_utils.py b/services/admin/src/admin/routes/_utils.py deleted file mode 100644 index 9f55980f..00000000 --- a/services/admin/src/admin/routes/_utils.py +++ /dev/null @@ -1,14 +0,0 @@ -from typing import Any - -from libutils.utils import orjson_dumps -from starlette.responses import JSONResponse, Response - - -class OrjsonResponse(JSONResponse): - def render(self, content: Any) -> bytes: - return orjson_dumps(content) - - -def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response: - headers = {"Cache-Control": f"max-age={max_age}"} if max_age > 0 else {"Cache-Control": "no-store"} - return OrjsonResponse(content, status_code=status_code, headers=headers) diff --git a/services/admin/src/admin/routes/cache_reports.py b/services/admin/src/admin/routes/cache_reports.py index 51f48e14..338e0e4a 100644 --- a/services/admin/src/admin/routes/cache_reports.py +++ b/services/admin/src/admin/routes/cache_reports.py @@ -2 +1,0 @@ import logging -import time @@ -5,2 +4,4 @@ from libcache.simple_cache import ( - get_first_rows_response_reports, - get_splits_response_reports, + InvalidCursor, + InvalidLimit, + get_cache_reports_first_rows, + get_cache_reports_splits_next, @@ -11,2 +12,8 @@ from starlette.responses import Response -from admin.config import MAX_AGE_SHORT_SECONDS -from admin.routes._utils import get_response +from admin.config import CACHE_REPORTS_NUM_RESULTS +from admin.utils import ( + AdminCustomError, + InvalidParameterError, + UnexpectedError, + get_json_admin_error_response, + get_json_ok_response, +) @@ -17,8 +24,34 @@ logger = logging.getLogger(__name__) -async def cache_reports_endpoint(_: Request) -> Response: - logger.info("/cache-reports") - content = { - "/splits-next": get_splits_response_reports(), - "/first-rows": get_first_rows_response_reports(), - "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), - } - return get_response(content, 200, MAX_AGE_SHORT_SECONDS) +async def cache_reports_first_rows_endpoint(request: Request) -> Response: + try: + cursor = request.query_params.get("cursor") or "" + logger.info(f"/cache-reports/first-rows, cursor={cursor}") + try: + return get_json_ok_response(get_cache_reports_first_rows(cursor, CACHE_REPORTS_NUM_RESULTS)) + except InvalidCursor as e: + raise InvalidParameterError("Invalid cursor.") from e + except InvalidLimit as e: + raise UnexpectedError( + "Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer." + ) from e + except AdminCustomError as e: + return get_json_admin_error_response(e) + except Exception: + return get_json_admin_error_response(UnexpectedError("Unexpected error.")) + + +async def cache_reports_splits_next_endpoint(request: Request) -> Response: + try: + cursor = request.query_params.get("cursor") or "" + logger.info(f"/cache-reports/splits-next, cursor={cursor}") + try: + return get_json_ok_response(get_cache_reports_splits_next(cursor, CACHE_REPORTS_NUM_RESULTS)) + except InvalidCursor as e: + raise InvalidParameterError("Invalid cursor.") from e + except InvalidLimit as e: + raise UnexpectedError( + "Invalid limit. CACHE_REPORTS_NUM_RESULTS must be a strictly positive integer." + ) from e + except AdminCustomError as e: + return get_json_admin_error_response(e) + except Exception: + return get_json_admin_error_response(UnexpectedError("Unexpected error.")) diff --git a/services/admin/src/admin/routes/pending_jobs.py b/services/admin/src/admin/routes/pending_jobs.py index baa23ae6..96622bb7 100644 --- a/services/admin/src/admin/routes/pending_jobs.py +++ b/services/admin/src/admin/routes/pending_jobs.py @@ -14 +14 @@ from admin.config import MAX_AGE_SHORT_SECONDS -from admin.routes._utils import get_response +from admin.utils import get_response diff --git a/services/admin/src/admin/utils.py b/services/admin/src/admin/utils.py new file mode 100644 index 00000000..0dcd9f35 --- /dev/null +++ b/services/admin/src/admin/utils.py @@ -0,0 +1,74 @@ +from http import HTTPStatus +from typing import Any, Literal, Optional + +from libutils.exceptions import CustomError +from libutils.utils import orjson_dumps +from starlette.responses import JSONResponse, Response + +from admin.config import MAX_AGE_SHORT_SECONDS + +AdminErrorCode = Literal[ + "InvalidParameter", + "UnexpectedError", +] + + +class AdminCustomError(CustomError): + """Base class for exceptions in this module.""" + + def __init__( + self, + message: str, + status_code: HTTPStatus, + code: AdminErrorCode, + cause: Optional[BaseException] = None, + disclose_cause: bool = False, + ): + super().__init__(message, status_code, str(code), cause, disclose_cause) + + +class InvalidParameterError(AdminCustomError): + """Raised when a parameter is invalid.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.UNPROCESSABLE_ENTITY, "InvalidParameter") + + +class UnexpectedError(AdminCustomError): + """Raised when an unexpected error occurred.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "UnexpectedError") + + +class OrjsonResponse(JSONResponse): + def render(self, content: Any) -> bytes: + return orjson_dumps(content) + + +def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response: + headers = {"Cache-Control": f"max-age={max_age}"} if max_age > 0 else {"Cache-Control": "no-store"} + return OrjsonResponse(content, status_code=status_code, headers=headers) + + +def get_json_response( + content: Any, status_code: HTTPStatus = HTTPStatus.OK, max_age: int = 0, error_code: Optional[str] = None +) -> Response: + headers = {"Cache-Control": f"max-age={max_age}" if max_age > 0 else "no-store"} + if error_code is not None: + headers["X-Error-Code"] = error_code + return OrjsonResponse(content, status_code=status_code.value, headers=headers) + + +def get_json_ok_response(content: Any) -> Response: + return get_json_response(content, max_age=MAX_AGE_SHORT_SECONDS) + + +def get_json_error_response( + content: Any, status_code: HTTPStatus = HTTPStatus.OK, error_code: Optional[str] = None +) -> Response: + return get_json_response(content, status_code=status_code, max_age=MAX_AGE_SHORT_SECONDS, error_code=error_code) + + +def get_json_admin_error_response(error: AdminCustomError) -> Response: + return get_json_error_response(error.as_response(), error.status_code, error.code) diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 086cefd4..843194c4 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -0,0 +1,2 @@ +from typing import Optional + @@ -67,7 +69,23 @@ def test_pending_jobs(client: TestClient) -> None: -def test_cache_reports(client: TestClient) -> None: - response = client.get("/cache-reports") - assert response.status_code == 200 - json = response.json() - assert json["/splits-next"] == [] - assert json["/first-rows"] == [] - assert "created_at" in json [email protected]( + "path,cursor,http_status,error_code", + [ + ("/splits-next", None, 200, None), + ("/splits-next", "", 200, None), + ("/splits-next", "invalid cursor", 422, "InvalidParameter"), + ("/first-rows", None, 200, None), + ("/first-rows", "", 200, None), + ("/first-rows", "invalid cursor", 422, "InvalidParameter"), + ], +) +def test_cache_reports( + client: TestClient, path: str, cursor: Optional[str], http_status: int, error_code: Optional[str] +) -> None: + cursor_str = f"?cursor={cursor}" if cursor else "" + response = client.get(f"/cache-reports{path}{cursor_str}") + assert response.status_code == http_status + if error_code: + assert isinstance(response.json()["error"], str) + assert response.headers["X-Error-Code"] == error_code + else: + assert response.json() == {"cache_reports": [], "next_cursor": ""} + assert "X-Error-Code" not in response.headers diff --git a/tools/Python.mk b/tools/Python.mk index 43474eda..97a0c86e 100644 --- a/tools/Python.mk +++ b/tools/Python.mk @@ -38 +38 @@ test-target: - MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) $(PYTEST_ARGS) + MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) $(PYTEST_ARGS) @@ -42 +42 @@ test-target-expression: - MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS) + MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -vv -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS)
476b22834b6cbf426f098dc1e6cd04502a64b459
Sylvain Lesage
2022-07-29T15:47:08
docs: ✏️ The docs have been moved to notion.so (#485)
diff --git a/docs_to_notion/authentication.md b/docs_to_notion/authentication.md deleted file mode 100644 index 6f1d905b..00000000 --- a/docs_to_notion/authentication.md +++ /dev/null @@ -1,63 +0,0 @@ -## AWS CLI profile - -To work on the `datasets-server` infrastructure, you have to configure AWS to use the SSO account `hub` (see https://huggingface.awsapps.com/start#/) with the role `EKS-HUB-Tensorboard` (see also the [doc in Notion about AWS SSO](https://www.notion.so/huggingface2/Conventions-645d29ce0a01496bb07c67a06612aa98#ff642cd8e28a4107ae26cc6183ccdd01)): - -```shell -$ aws configure sso -SSO start URL [None]: https://huggingface.awsapps.com/start#/ -SSO Region [None]: us-east-1 -There are 3 AWS accounts available to you. # <-- select "hub" -Using the account ID 707930574880 -There are 3 roles available to you. # <-- select "EKS-HUB-Tensorboard" -Using the role name "EKS-HUB-Tensorboard" -CLI default client Region [None]: -CLI default output format [None]: -CLI profile name [EKS-HUB-Hub-707930574880]: tb - -To use this profile, specify the profile name using --profile, as shown: - -aws s3 ls --profile tb -``` - -In the docs, we assume the AWS CLI profile is called `tb`. - -The profile `tb` is meant to: - -- operate inside the two EKS clusters (`hub-prod` and `hub-ephemeral`): - - - setup the kube contexts: - - ```shell - aws eks update-kubeconfig --name "hub-prod" --alias "hub-prod-with-tb" --region us-east-1 --profile=tb - aws eks update-kubeconfig --name "hub-ephemeral" --alias "hub-ephemeral-with-tb" --region us-east-1 --profile=tb - ``` - - - install kubectx and kubens (see [tools.md](./tools.md)) - - ephemeral: - - ```shell - kubectx hub-ephemeral-with-tb - kubens datasets-server - kubectl get pod - ``` - - - prod: - - ```shell - kubectx hub-prod-with-tb - kubens datasets-server - kubectl get pod - ``` - -- list, pull, push docker images from repositories of the ECR registry (`707930574880.dkr.ecr.us-east-1.amazonaws.com`): - - ```shell - $ aws ecr get-login-password --region us-east-1 --profile=tb \ - | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com - ``` - -It is not meant to operate on AWS resources directly. The following command gives authentication error for example: - -```shell -$ aws eks list-clusters --profile=tb -``` diff --git a/docs_to_notion/docker.md b/docs_to_notion/docker.md deleted file mode 100644 index 850541cf..00000000 --- a/docs_to_notion/docker.md +++ /dev/null @@ -1,24 +0,0 @@ -# Docker images repositories - -## Amazon Elastic Container Registry (ECR) - -We use a private registry of docker images on Amazon Elastic Container Registry (ECR): https://us-east-1.console.aws.amazon.com/ecr/repositories?region=us-east-1. - -The docker images are pushed there using the CI ([docker.yml](../.github/workflows/docker.yml)). - -Every image is tagged with the git commit used to build it (short form, ie: `sha-698411e`). - -The docker repositories are: - -- `707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api` for the API service. See https://us-east-1.console.aws.amazon.com/ecr/repositories/private/707930574880/hub-datasets-server-api. -- `707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker` for the worker. See https://us-east-1.console.aws.amazon.com/ecr/repositories/private/707930574880/hub-datasets-server-worker. - -To create, modify or delete ECR repositories, ask the infra team. - -If you want to list, pull or push a docker image manually, you have to login before: - -``` -aws ecr get-login-password --profile=tb | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com -``` - -The documentation for the `aws ecr` CLI is here: https://docs.aws.amazon.com/cli/latest/reference/ecr/index.html. diff --git a/docs_to_notion/helm.md b/docs_to_notion/helm.md deleted file mode 100644 index b4743135..00000000 --- a/docs_to_notion/helm.md +++ /dev/null @@ -1,31 +0,0 @@ -# Helm - -We use [Helm](https://helm.sh/docs/intro/using_helm/) to describe the Kubernetes resources of the `datasets-server` application (as a "Chart"), and deploy it to the Kubernetes cluster. - -The [templates/](../charts/datasets-server/templates) directory contains a list of templates of Kubernetes resources configurations. - -The [values.yaml](../charts/datasets-server/values.yaml) file contains a list of configuration values that are used in the templates to replace the placeholders. It can be overridden in all the `helm` command by the `--values` option (see how it is used in the [`Makefile`](../charts/datasets-server/Makefile)). - -## Notes - -An Helm Release is like an instance of the app, deployed on the Kubernetes cluster. You can have various Releases at the same time, for example moon-landing has one Release for each pull-request, allowing to test the hub on every branch. All is related to the Release name (eg. `datasets-server-dev`), which must be used in the labels, so that the Kubernetes objects are related as expected in the same Release, and ignore the objects of the other Releases. - -Note that Kubernetes is not [blue-green deployment](https://en.wikipedia.org/wiki/Blue-green_deployment) (blue-green: two environments, "blue" and "green", coexist, where one is active and the other is inactive, and upgrading the app consists in preparing the inactive one, then activating it instead of the other). Meanwhile, Kubernetes create the new pods (and delete the old ones) one by one, which can lead to a small period with some pods running the new version of the app, and other ones running the old version. This means that the application should take care of the retrocompatibility (writing to the database, to the filesystem). - -### MongoDB - -To deploy mongodb for a given release, we declare it as a dependency in the datasets-server [Chart.yaml](../charts/datasets-server/Chart.yaml). When deployed, it spawns a service named `datasets-server-dev-mongodb` (the release name, followed by `-mongodb`). We can see it: - -``` -$ hubectl get service -datasets-server-mongodb ClusterIP 172.20.84.193 <none> 27017/TCP 18h -... -``` - -Note that with the current configuration, the whole cluster has access to the mongodb service. It is not exposed to the exterior though, and thus we don't require authentication for now. If we want to access mongo from a local machine, we can forward the port: - -``` -$ kubectl port-forward datasets-server-mongodb-0 27017:27017 -Forwarding from 127.0.0.1:27017 -> 27017 -Forwarding from [::1]:27017 -> 27017 -``` diff --git a/docs_to_notion/kubernetes.md b/docs_to_notion/kubernetes.md deleted file mode 100644 index 7d6fc891..00000000 --- a/docs_to_notion/kubernetes.md +++ /dev/null @@ -1,264 +0,0 @@ -# Kubernetes - -This directory contains object configuration files, following the [Declarative object configuration](https://kubernetes.io/docs/concepts/overview/working-with-objects/object-management/#declarative-object-configuration) method of deploying an application on Kubernetes. - -This means that we should only use `kubectl diff` and `kubectl apply` to manage the state (and `kubectl get` to read the values), and never use `kubectl create` or `kubectl delete`. - -## Cluster - -All the projects that form part of the Hub, such as `datasets-server`, are deployed on a common Kubernetes cluster on Amazon EKS (Elastic Kubernetes Service). Two clusters are available: - -- `hub-prod` for the production -- `hub-ephemeral` for the ephemeral environments (pull requests) - -### List the clusters on Amazon EKS - -If you have a profile with the rights to list the clusters on Amazon EKS, you can see them using the web console: https://us-east-1.console.aws.amazon.com/eks/home?region=us-east-1#/clusters, or use the CLI [`aws eks`](https://docs.aws.amazon.com/cli/latest/reference/eks/index.html): - -``` -$ aws eks list-clusters --profile=hub-pu -{ - "clusters": [ - "hub-ephemeral", - "hub-preprod", - "hub-prod" - ] -} -``` - -Note that listing the clusters is not allowed for the `EKS-HUB-Tensorboard` role of the `hub` account: - -``` -$ aws eks list-clusters --profile=tb - -An error occurred (AccessDeniedException) when calling the ListClusters operation: User: arn:aws:sts::707930574880:assumed-role/AWSReservedSSO_EKS-HUB-Tensorboard_855674a9053d4044/[email protected] is not authorized to perform: eks:ListClusters on resource: arn:aws:eks:eu-west-3:707930574880:cluster/* -``` - -We've had to use another role to do it: create another profile called `hub-pu` by using `HFPowerUserAccess` instead of `EKS-HUB-Hub` in `aws configure sso`. Beware: this role might be removed soon. - -### Use a cluster - -Setup `kubectl` to use a cluster: - -- prod: - ``` - $ aws eks update-kubeconfig --name "hub-prod" --alias "hub-prod-with-tb" --region us-east-1 --profile=tb - Updated context hub-prod-with-tb in /home/slesage/.kube/config - ``` -- ephemeral: - ``` - $ aws eks update-kubeconfig --name "hub-ephemeral" --alias "hub-ephemeral-with-tb" --region us-east-1 --profile=tb - Updated context hub-ephemeral-with-tb in /home/slesage/.kube/config - ``` - -## Kubernetes objects - -The principal Kubernetes objects within a cluster are: - -- [namespace](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/): mechanism for isolating groups of resources within a single cluster -- [node](https://kubernetes.io/docs/tutorials/kubernetes-basics/explore/explore-intro/): the virtual or physical machines grouped in a cluster, each of which runs multiple pods. Note that with the `EKS-HUB-Hub` role, we don't have access to the list of nodes -- [deployment](https://kubernetes.io/docs/tutorials/kubernetes-basics/deploy-app/deploy-intro/): the configuration sent to the control plane to deploy and manage a containerized application. It describes a desired state for a set of pods -- [pod](https://kubernetes.io/docs/concepts/workloads/pods/): the pods are where the containerized applications are running, once deployed. -- [service](https://kubernetes.io/docs/concepts/services-networking/service/): an abstraction to access containerized application through the network from outside the cluster (maps a port on the proxy to the pods that will respond) -- [ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/): a set of rules that define how a service is exposed to the outside (URL, load-balancing, TLS, etc.) -- [configmap](https://kubernetes.io/docs/concepts/configuration/configmap/): configuration data for pods to consume. -- [secret](https://kubernetes.io/docs/concepts/configuration/secret/): secret data (like configmap, but confidential) - -To get the complete list of object types: - -``` -kubectl api-resources -o wide | less -``` - -To get some help about an object type, use `kubectl explain`: - -``` -$ kubectl explain pod - -KIND: Pod -VERSION: v1 - -DESCRIPTION: - Pod is a collection of containers that can run on a host. This resource is - created by clients and scheduled onto hosts. - -... -``` - -### Useful kubectl commands - -Some useful commands: - -- `kubectl api-resources`: list all the object types (resources) -- `kubectl get xxx`: get the list of objects of type `xxx`. See also the [tips section](#tips-with-kubectl-get) -- `kubectl explain xxx`: get a description of what the `xxx` object type is. -- `kubectl logs pod/yyy`: show the logs of the pod `yyy` -- `kubectl exec pod/yyy -it sh`: open a shell on the pod `yyy`. More here: https://kubernetes.io/docs/reference/kubectl/cheatsheet/#interacting-with-running-pods and here: https://kubernetes.io/docs/reference/kubectl/cheatsheet/#interacting-with-deployments-and-services -- `kubectl describe xxx/yyy`: show the details of the object `yyy` of type `xxx`. In particular, look at the `Events` section at the end, to debug what occurs to the object. - ``` - Type Reason Age From Message - ---- ------ ---- ---- ------- - Warning Unhealthy 28m (x2730 over 17h) kubelet Readiness probe failed: dial tcp 10.12.43.223:80: connect: connection refused - Normal Pulled 8m1s (x301 over 17h) kubelet Container image "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-59db084" already present on machine - Warning BackOff 3m3s (x3643 over 17h) kubelet Back-off restarting failed container - ``` -- `kubectl rollout restart deploy/yyy`: recreate the pods of the deploy `yyy` -- `kubectl scale --replicas=5 deploy/yyy`: change (up or down, 0 is also valid) the number of replicas of the deploy `yyy` - -### Tips with kubectl get - -The `-o` option of `kubectl get xxx`, where `xxx` is the object type (`namespace`, `pod`, `deploy`...), allows to [format the output](https://kubernetes.io/docs/reference/kubectl/cheatsheet/#formatting-output): - -- without the option `-o`: a table with a basic list of attributes and one line per object -- `-o wide`: a table with an extended list of attributes and one line per object -- `-o json`: a JSON object with the complete list of the objects and their (nested) attributes. Pipe into [`fx`](https://github.com/antonmedv/fx), `less`, `grep` or [`jq`](https://stedolan.github.io/jq/) to explore or extract info. -- `-o yaml`: the same as JSON, but in YAML format - -You can filter to get the info only for one object by adding its name as an argument, eg: - -- list of namespaces: - - ``` - kubectl get namespace -o json - ``` - -- only the `datasets-server` namespace: - - ``` - kubectl get namespace datasets-server -o json - ``` - -You can also filter by [label](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/): - -- get the namespace with the name `datasets-server` (not very interesting): - - ``` - kubectl get namespace -l "kubernetes.io/metadata.name"==datasets-server - ``` - -- get the pods of the `datasets-server-prod-api` application (note that `app` is a custom label specified in the Helm templates): - - ``` - kubectl get pod -l app==datasets-server-prod-api --namespace datasets-server - ``` - -Use the `-w` option if you want to "watch" the values in real time. - -Also note that every object type can be written in singular or plural, and also possibly in a short name (see `kubectl api-resources`), eg the following are equivalent - -``` -kubectl get namespace -kubectl get namespaces -kubectl get ns -``` - -More here: https://kubernetes.io/docs/reference/kubectl/cheatsheet/#viewing-finding-resources - -## Other tips - -Make your containerized applications listen to `0.0.0.0`, not `localhost`. - -## Namespaces - -Get the list of [namespaces](https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/) of the current cluster (`hub-ephemeral`)): - -``` -$ kubectl get namespace -NAME STATUS AGE -dataset-server Active 26h -... -``` - -## Context - -Contexts are useful to set the default namespace, user and cluster we are working on (see https://kubernetes.io/docs/tasks/access-application-cluster/configure-access-multiple-clusters/). - -We can create a local context called `hub-prod-with-tb` as: - -``` -$ kubectl config set-context \ - --cluster=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \ - --user=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \ - --namespace=datasets-server \ - hub-prod-with-tb -Context "hub-prod-with-tb" created. -``` - -or - -``` -$ kubectl config set-context \ - --cluster=arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral \ - --user=arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral \ - --namespace=datasets-server \ - hub-ephemeral-with-tb -Context "hub-ephemeral-with-tb" created. -``` - -Another way, seen before, is to use: - -```shell -aws eks update-kubeconfig --name "hub-prod" --alias "hub-prod-with-tb" --region us-east-1 --profile=tb -aws eks update-kubeconfig --name "hub-ephemeral" --alias "hub-ephemeral-with-tb" --region us-east-1 --profile=tb -``` - -We set it as the current context with: - -``` -$ kubectl config use-context hub-ephemeral-with-tb - -Switched to context "hub-ephemeral-with-tb". -``` - -If we list the contexts, we see that it is selected: - -``` -$ kubectl config get-contexts -CURRENT NAME CLUSTER AUTHINFO NAMESPACE -* hub-ephemeral-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral datasets-server - hub-prod-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod datasets-server -``` - -Note that contexts are a help for the developer to get quickly in the correct configuration. It's not stored in the cluster. - -You might be interested in the `kubectx` and `kubens` tools (see https://github.com/ahmetb/kubectx) if you want to switch more easily between namespaces and contexts. - -## Secrets - -The HF token must be set manually in a secret (see https://kubernetes.io/docs/tasks/configmap-secret/managing-secret-using-config-file/). - -First, convert the secret to base64: - -``` -# Ask the Hub administrators to get an HF App token -$ echo -n 'hf_app_xxxx' | base64 -yyyyy -``` - -Then paste it inside a secret configuration: - -``` -$ vi secret.yaml -``` - -```yaml -apiVersion: v1 -kind: Secret -metadata: - name: datasets-server-hf-token -type: Opaque -data: - HF_TOKEN: yyyyy -``` - -Finally create the secret: - -``` -kubectl apply -f ./secret.yaml -``` - -Alternatively, we can generate the secret with: - -```shell -kubectl create secret generic datasets-server-hf-token --from-literal=HF_TOKEN='hf_app_xxxx' -``` diff --git a/docs_to_notion/tools.md b/docs_to_notion/tools.md deleted file mode 100644 index 2f9f2c71..00000000 --- a/docs_to_notion/tools.md +++ /dev/null @@ -1,46 +0,0 @@ -## Tools - -To work on the infrastructure, various CLI tools are required or recommended. - -### aws - -`aws` is the CLI for the AWS services. See https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html to install it. - -You will mainly use: - -- `aws configure sso` to login. See [authentication.md](./authentication.md). -- `aws ecr` to list, pull, push the docker images to the ECR repository. See [docker.md](./docker.md). -- `aws eks` to inspect the Kubernetes clusters, and setup `kubectl`. See [kubernetes.md](./kubernetes.md#clusters). - -### kubectl - -`kubectl` is the Kubernetes CLI. See https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/ to install it on Linux. - -To use it, you have to configure it to use a specific cluster using `aws eks`. See [the "clusters" section in kube/ README](./kubernetes.md#clusters). - -Once installed, you can: - -- add [autocompletion](https://kubernetes.io/docs/reference/kubectl/cheatsheet/#kubectl-autocomplete) -- create an [alias](https://www.google.com/search?q=persist+alias+linux) to `k`: `alias k="kubectl"` -- install [kubectx and kubens](https://github.com/ahmetb/kubectx) to switch easily between [contexts](./kubernetes.md#context) and [namespaces](./kubernetes.md#namespaces) -- install [fzf](https://github.com/junegunn/fzf) and [kube-fzf](https://github.com/thecasualcoder/kube-fzf): command-line fuzzy searching of Kubernetes Pods -- install [kubelens](https://github.com/kubelens/kubelens): web application to look at the objects - -### helm - -Helm is a package manager for Kubernetes, and installs a [chart](https://helm.sh/docs/topics/charts/) (all of the resource definitions necessary to run an application, tool, or service inside of a Kubernetes cluster) into Kubernetes. - -See https://helm.sh/docs/intro/install/ to install the `helm` CLI. - -Once installed, you can: - -- add [autocompletion](https://helm.sh/docs/helm/helm_completion/#see-also) -- install [helm-diff](https://github.com/databus23/helm-diff): a helm plugin that shows a diff explaining what a helm upgrade would change. - -### make - -Install `make` to use the [Makefile](../charts/datasets-server/Makefile) to deploy to the Kubernetes cluster: - -``` -sudo apt install make -```
b136f8f420479c8dabb90067705688bb47c48450
Sylvain Lesage
2022-07-29T14:50:51
Add error code (#482)
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 3811752e..65b2f48e 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -68,0 +69 @@ jobs: + ROWS_MAX_NUMBER: 4 @@ -82,0 +84,2 @@ jobs: + env: + ROWS_MAX_NUMBER: 4 @@ -84 +87 @@ jobs: - poetry run python -m pytest -x tests + poetry run python -m pytest -vv -x tests diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 5eda27b3..07470410 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -7,0 +8 @@ on: + - 'chart/static-files/openapi.json' diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index f54d39e4..49f5a224 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -3,2 +3,2 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-abd00fe", - "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-640cc19", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-a0a031b", + "api": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-api:sha-f8179b9", @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-a0a031b" diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 369b34ef..11382739 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -33,0 +34,6 @@ + }, + "X-Error-Code": { + "description": "A string that identifies the underlying error.", + "schema": { "type": "string" }, + "example": "DatasetNotFoundError", + "required": true @@ -67,0 +74,21 @@ + "CustomError": { + "type": "object", + "required": ["error"], + "properties": { + "error": { + "type": "string" + }, + "cause_exception": { + "type": "string" + }, + "cause_message": { + "type": "string" + }, + "cause_traceback": { + "type": "array", + "items": { + "type": "string" + } + } + } + }, @@ -149 +176,8 @@ - "required": ["dataset", "config", "split", "idx", "name", "type"], + "required": [ + "dataset", + "config", + "split", + "feature_idx", + "name", + "type" + ], @@ -160 +194 @@ - "idx": { + "feature_idx": { @@ -714,0 +749,9 @@ + }, + "IsValidResponse": { + "type": "object", + "required": ["valid"], + "properties": { + "valid": { + "type": "boolean" + } + } @@ -1702 +1745 @@ - "summary": " Valid datasets", + "summary": "Valid datasets", @@ -1742,0 +1786,119 @@ + }, + "500": { + "description": "The server crashed.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Unexpected error." + } + } + } + } + } + } + } + } + }, + "/is-valid": { + "get": { + "summary": "Check if a dataset is valid (experimental)", + "description": "Check if a dataset works without an error (for /splits and /rows).", + "externalDocs": { + "description": "See Valid datasets (Hub docs)", + "url": "https://huggingface.co/docs/datasets-server/valid" + }, + "operationId": "isValidDataset", + "parameters": [ + { + "name": "dataset", + "in": "query", + "description": "The identifier of the dataset on the Hub.", + "required": true, + "schema": { "type": "string" }, + "examples": { + "glue": { "summary": "a canonical dataset", "value": "glue" }, + "Helsinki-NLP/tatoeba_mt": { + "summary": "a namespaced dataset", + "value": "Helsinki-NLP/tatoeba_mt" + } + } + } + ], + "responses": { + "200": { + "description": "The valid datasets.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/IsValidResponse" + }, + "examples": { + "valid": { + "summary": "valid dataset", + "value": { + "valid": true + } + }, + "invalid": { + "summary": "invalid dataset", + "value": { + "valid": false + } + } + } + } + } + }, + "500": { + "description": "The server crashed.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "internal": { + "summary": "internal error", + "value": { + "error": "Unexpected error." + } + } + } + } + } @@ -1792,3 +1954,3 @@ - "dataset": "duorc", - "config": "SelfRC", - "split": "train", + "dataset_name": "duorc", + "config_name": "SelfRC", + "split_name": "train", @@ -1799,3 +1961,3 @@ - "dataset": "duorc", - "config": "SelfRC", - "split": "validation", + "dataset_name": "duorc", + "config_name": "SelfRC", + "split_name": "validation", @@ -1806,3 +1968,3 @@ - "dataset": "duorc", - "config": "SelfRC", - "split": "test", + "dataset_name": "duorc", + "config_name": "SelfRC", + "split_name": "test", @@ -1813,3 +1975,3 @@ - "dataset": "duorc", - "config": "ParaphraseRC", - "split": "train", + "dataset_name": "duorc", + "config_name": "ParaphraseRC", + "split_name": "train", @@ -1820,3 +1982,3 @@ - "dataset": "duorc", - "config": "ParaphraseRC", - "split": "validation", + "dataset_name": "duorc", + "config_name": "ParaphraseRC", + "split_name": "validation", @@ -1827,3 +1989,3 @@ - "dataset": "duorc", - "config": "ParaphraseRC", - "split": "test", + "dataset_name": "duorc", + "config_name": "ParaphraseRC", + "split_name": "test", @@ -1841,3 +2003,3 @@ - "dataset": "emotion", - "config": "default", - "split": "train", + "dataset_name": "emotion", + "config_name": "default", + "split_name": "train", @@ -1848,3 +2010,3 @@ - "dataset": "emotion", - "config": "default", - "split": "validation", + "dataset_name": "emotion", + "config_name": "default", + "split_name": "validation", @@ -1855,3 +2017,3 @@ - "dataset": "emotion", - "config": "default", - "split": "test", + "dataset_name": "emotion", + "config_name": "default", + "split_name": "test", @@ -1868,2 +2030,2 @@ - "400": { - "description": "The dataset has some issue that prevents extracting the list of splits.<br/>The error response should give insights to help fix the issue.<br/>The client should not retry the request, because the response will not change until the dataset is fixed.", + "404": { + "description": "If the repository to download from cannot be found. This may be because it doesn't exist, or because it is set to `private` and you do not have access.", @@ -1875,0 +2038,3 @@ + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" @@ -1881 +2046 @@ - "$ref": "#/components/schemas/Status400ErrorContent" + "$ref": "#/components/schemas/CustomError" @@ -1884 +2049,67 @@ - "TypeError": { + "inexistent-dataset": { + "summary": "The dataset does not exist.", + "value": { + "error": "Not found." + } + }, + "private-dataset": { + "summary": "The dataset is private.", + "value": { + "error": "Not found." + } + } + } + } + } + }, + "422": { + "description": "The `dataset` parameter has not been provided.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "missing-parameter": { + "summary": "The dataset parameter is missing.", + "value": { "error": "Parameter 'dataset' is required" } + }, + "empty-parameter": { + "summary": "The dataset parameter is empty (?dataset=).", + "value": { "error": "Parameter 'dataset' is required" } + } + } + } + } + }, + "500": { + "description": "The server crashed, the response still hasn't been generated (the process is asynchronous), or the response couldn't be generated successfully due to an error in the dataset itself. The client can retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software or in the dataset, and should be reported.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "SplitsNotFoundError": { @@ -1893,3 +2124 @@ - " File \"/tmp/modules-cache/datasets_modules/datasets/timit_asr/43f9448dd5db58e95ee48a277f466481b151f112ea53e27f8173784da9254fb2/timit_asr.py\", line 117, in _split_generators\n data_dir = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))\n", - " File \"/usr/local/lib/python3.9/posixpath.py\", line 231, in expanduser\n path = os.fspath(path)\n", - "TypeError: expected str, bytes or os.PathLike object, not NoneType\n", + "TypeError: _split_generators() missing 1 required positional argument: 'pipeline'\n", @@ -1898,2 +2127,3 @@ - " File \"/src/services/worker/src/worker/models/dataset.py\", line 15, in get_dataset_split_full_names\n return [\n", - " File \"/src/services/worker/src/worker/models/dataset.py\", line 18, in <listcomp>\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 74, in get_splits_response\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 35, in get_dataset_split_full_names\n return [\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 38, in <listcomp>\n for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token)\n", @@ -1914 +2144,2 @@ - " File \"/src/services/worker/src/worker/models/dataset.py\", line 17, in get_dataset_split_full_names\n for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 74, in get_splits_response\n split_full_names = get_dataset_split_full_names(dataset_name, hf_token)\n", + " File \"/src/services/worker/src/worker/responses/splits.py\", line 37, in get_dataset_split_full_names\n for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token)\n", @@ -1916 +2147 @@ - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1242, in dataset_module_factory\n raise FileNotFoundError(\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1243, in dataset_module_factory\n raise FileNotFoundError(\n", @@ -1920,21 +2151 @@ - } - } - } - } - }, - "500": { - "description": "The server encountered an error, or the response still hasn't been generated (the process is asynchronous). The client should retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software and should be reported.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Status500ErrorContent" - }, - "examples": { + }, @@ -2040 +2251 @@ - "cola": { + "imdb": { @@ -2045,2 +2256,2 @@ - "dataset": "glue", - "config": "cola", + "dataset": "imdb", + "config": "plain_text", @@ -2048,2 +2259,2 @@ - "idx": 0, - "name": "sentence", + "feature_idx": 0, + "name": "text", @@ -2057,2 +2268,2 @@ - "dataset": "glue", - "config": "cola", + "dataset": "imdb", + "config": "plain_text", @@ -2060 +2271 @@ - "idx": 1, + "feature_idx": 1, @@ -2064 +2275 @@ - "names": ["unacceptable", "acceptable"], + "names": ["neg", "pos"], @@ -2068,12 +2278,0 @@ - }, - { - "dataset": "glue", - "config": "cola", - "split": "train", - "idx": 2, - "name": "idx", - "type": { - "dtype": "int32", - "id": null, - "_type": "Value" - } @@ -2084,2 +2283,2 @@ - "dataset": "glue", - "config": "cola", + "dataset": "imdb", + "config": "plain_text", @@ -2089,3 +2288,2 @@ - "sentence": "Our friends won't buy this analysis, let alone the next one we propose.", - "label": 1, - "idx": 0 + "text": "I rented I AM CURIOUS-YELLOW from my video store because of all the controversy that surrounded it when it was first released in 1967. I also heard that at first it was seized by U.S. customs if it ever tried to enter this country, therefore being a fan of films considered \"controversial\" I really had to see this for myself.<br /><br />The plot is centered around a young Swedish drama student named Lena who wants to learn everything she can about life. In particular she wants to focus her attentions to making some sort of documentary on what the average Swede thought about certain political issues such as the Vietnam War and race issues in the United States. In between asking politicians and ordinary denizens of Stockholm about their opinions on politics, she has sex with her drama teacher, classmates, and married men.<br /><br />What kills me about I AM CURIOUS-YELLOW is that 40 years ago, this was considered pornographic. Really, the sex and nudity scenes are few and far between, even then it's not shot like some cheaply made porno. While my countrymen mind find it shocking, in reality sex and nudity are a major staple in Swedish cinema. Even Ingmar Bergman, arguably their answer to good old boy John Ford, had sex scenes in his films.<br /><br />I do commend the filmmakers for the fact that any sex shown in the film is shown for artistic purposes rather than just to shock people and make money to be shown in pornographic theaters in America. I AM CURIOUS-YELLOW is a good film for anyone wanting to study the meat and potatoes (no pun intended) of Swedish cinema. But really, this film doesn't have much of a plot.", + "label": 0 @@ -2096,2 +2294,2 @@ - "dataset": "glue", - "config": "cola", + "dataset": "imdb", + "config": "plain_text", @@ -2101,3 +2299,2 @@ - "sentence": "One more pseudo generalization and I'm giving up.", - "label": 1, - "idx": 1 + "text": "\"I Am Curious: Yellow\" is a risible and pretentious steaming pile. It doesn't matter what one's political views are because this film can hardly be taken seriously on any level. As for the claim that frontal male nudity is an automatic NC-17, that isn't true. I've seen R-rated films with male nudity. Granted, they only offer some fleeting views, but where are the R-rated films with gaping vulvas and flapping labia? Nowhere, because they don't exist. The same goes for those crappy cable shows: schlongs swinging in the breeze but not a clitoris in sight. And those pretentious indie movies like The Brown Bunny, in which we're treated to the site of Vincent Gallo's throbbing johnson, but not a trace of pink visible on Chloe Sevigny. Before crying (or implying) \"double-standard\" in matters of nudity, the mentally obtuse should take into account one unavoidably obvious anatomical difference between men and women: there are no genitals on display when actresses appears nude, and the same cannot be said for a man. In fact, you generally won't see female genitals in an American film in anything short of porn or explicit erotica. This alleged double-standard is less a double standard than an admittedly depressing ability to come to terms culturally with the insides of women's bodies.", + "label": 0 @@ -2108,2 +2305,2 @@ - "dataset": "glue", - "config": "cola", + "dataset": "imdb", + "config": "plain_text", @@ -2113,3 +2310,2 @@ - "sentence": "One more pseudo generalization or I'm giving up.", - "label": 1, - "idx": 2 + "text": "If only to avoid making this type of film in the future. This film is interesting as an experiment but tells no cogent story.<br /><br />One might feel virtuous for sitting thru it because it touches on so many IMPORTANT issues but it does so without any discernable motive. The viewer comes away with no new perspectives (unless one comes up with one while one's mind wanders, as it will invariably do during this pointless film).<br /><br />One might better spend one's time staring out a window at a tree growing.<br /><br />", + "label": 0 @@ -2120,2 +2316,2 @@ - "dataset": "glue", - "config": "cola", + "dataset": "imdb", + "config": "plain_text", @@ -2125,3 +2321,2 @@ - "sentence": "The more we study verbs, the crazier they get.", - "label": 1, - "idx": 3 + "text": "This film was probably inspired by Godard's Masculin, féminin and I urge you to see that film instead.<br /><br />The film has two strong elements and those are, (1) the realistic acting (2) the impressive, undeservedly good, photo. Apart from that, what strikes me most is the endless stream of silliness. Lena Nyman has to be most annoying actress in the world. She acts so stupid and with all the nudity in this film,...it's unattractive. Comparing to Godard's film, intellectuality has been replaced with stupidity. Without going too far on this subject, I would say that follows from the difference in ideals between the French and the Swedish society.<br /><br />A movie of its time, and place. 2/10.", + "label": 0 @@ -2142 +2337 @@ - "idx": 0, + "feature_idx": 0, @@ -2154 +2349 @@ - "idx": 1, + "feature_idx": 1, @@ -2171 +2366 @@ - "idx": 2, + "feature_idx": 2, @@ -2188 +2383 @@ - "idx": 3, + "feature_idx": 3, @@ -2210 +2405 @@ - "idx": 4, + "feature_idx": 4, @@ -2275,84 +2469,0 @@ - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 4, - "row": { - "start": "2016-07-01T00:00:00", - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 5, - "row": { - "start": "2016-07-01T00:00:00", - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 6, - "row": { - "start": "2016-07-01T00:00:00", - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 7, - "row": { - "start": "2016-07-01T00:00:00", - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 8, - "row": { - "start": "2016-07-01T00:00:00", - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] - }, - { - "dataset": "ett", - "config": "m2", - "split": "test", - "row_idx": 9, - "row": { - "start": "2016-07-01T00:00:00", - "target": "[38.6619987487793,38.222999572753906,37.34400177001953,37.124000549316406,37.124000549316406,36.9039", - "feat_static_cat": [0], - "feat_dynamic_real": "[[41.130001068115234,39.62200164794922,38.86800003051758,35.518001556396484,37.52799987792969,37.611", - "item_id": "OT" - }, - "truncated_cells": ["target", "feat_dynamic_real"] @@ -2371 +2482 @@ - "idx": 0, + "feature_idx": 0, @@ -2383 +2494 @@ - "idx": 1, + "feature_idx": 1, @@ -2399,2 +2510,2 @@ - "imageA": "https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageA/image.jpg", - "imageB": "https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageB/image.jpg" + "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageA/image.jpg", + "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/0/imageB/image.jpg" @@ -2410,2 +2521,2 @@ - "imageA": "https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageA/image.jpg", - "imageB": "https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageB/image.jpg" + "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageA/image.jpg", + "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/1/imageB/image.jpg" @@ -2421,2 +2532,13 @@ - "imageA": "https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageA/image.jpg", - "imageB": "https://datasets-server.us.dev.moon.huggingface.tech/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageB/image.jpg" + "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageA/image.jpg", + "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/2/imageB/image.jpg" + }, + "truncated_cells": [] + }, + { + "dataset": "huggan/horse2zebra", + "config": "huggan--horse2zebra-aligned", + "split": "train", + "row_idx": 3, + "row": { + "imageA": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageA/image.jpg", + "imageB": "https://datasets-server.huggingface.co/assets/huggan/horse2zebra/--/huggan--horse2zebra-aligned/train/3/imageB/image.jpg" @@ -2437 +2559 @@ - "idx": 0, + "feature_idx": 0, @@ -2449 +2571 @@ - "idx": 1, + "feature_idx": 1, @@ -2461 +2583 @@ - "idx": 2, + "feature_idx": 2, @@ -2475 +2597 @@ - "idx": 3, + "feature_idx": 3, @@ -2487 +2609 @@ - "idx": 4, + "feature_idx": 4, @@ -2499 +2621 @@ - "idx": 5, + "feature_idx": 5, @@ -2511 +2633 @@ - "idx": 6, + "feature_idx": 6, @@ -2523 +2645 @@ - "idx": 7, + "feature_idx": 7, @@ -2535 +2657 @@ - "idx": 8, + "feature_idx": 8, @@ -2547 +2669 @@ - "idx": 9, + "feature_idx": 9, @@ -2559 +2681 @@ - "idx": 10, + "feature_idx": 10, @@ -2663,2 +2785,2 @@ - "400": { - "description": "The dataset has some issue that prevents extracting the list of features, or the list of rows.<br/>The error response should give insights to help fix the issue.<br/>The client should not retry the request, because the response will not change until the dataset is fixed.", + "404": { + "description": "If the repository to download from cannot be found, or if the config or split does not exist in the dataset. Note that this may be because the dataset doesn't exist, or because it is set to `private` and you do not have access.", @@ -2670,0 +2793,3 @@ + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" @@ -2676 +2801,99 @@ - "$ref": "#/components/schemas/Status400ErrorContent" + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "inexistent-dataset": { + "summary": "The dataset does not exist on the Hub.", + "value": { "error": "Not found." } + }, + "private-dataset": { + "summary": "The dataset is private.", + "value": { "error": "Not found." } + }, + "inexistent-config": { + "summary": "The config does not exist in the dataset.", + "value": { "error": "Not found." } + }, + "inexistent-split": { + "summary": "The soplit does not exist in the dataset.", + "value": { "error": "Not found." } + } + } + } + } + }, + "422": { + "description": "Some of the `dataset`, `config`, or `split` parameters have not been provided or are invalid.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "missing-dataset": { + "summary": "The dataset parameter is missing.", + "value": { + "error": "Parameters 'dataset', 'config' and 'split' are required" + } + }, + "missing-config": { + "summary": "The config parameter is missing.", + "value": { + "error": "Parameters 'dataset', 'config' and 'split' are required" + } + }, + "missing-split": { + "summary": "The split parameter is missing.", + "value": { + "error": "Parameters 'dataset', 'config' and 'split' are required" + } + }, + "empty-dataset": { + "summary": "The dataset parameter is empty.", + "value": { + "error": "Parameters 'dataset', 'config' and 'split' are required" + } + }, + "empty-config": { + "summary": "The config parameter is empty.", + "value": { + "error": "Parameters 'dataset', 'config' and 'split' are required" + } + }, + "empty-split": { + "summary": "The split parameter is empty.", + "value": { + "error": "Parameters 'dataset', 'config' and 'split' are required" + } + } + } + } + } + }, + "500": { + "description": "The server crashed, the response still hasn't been generated (the process is asynchronous), or the response couldn't be generated successfully due to an error in the dataset itself. The client can retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software or in the dataset, and should be reported.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" @@ -2687,3 +2910,3 @@ - " File \"/src/services/worker/src/worker/models/first_rows.py\", line 214, in get_first_rows\n rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 39, in get_rows\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 345, in get_first_rows_response\n rows = get_rows(\n", + " File \"/src/services/worker/src/worker/utils.py\", line 123, in decorator\n return func(*args, **kwargs)\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 80, in get_rows\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n", @@ -2693 +2916 @@ - " File \"/tmp/modules-cache/datasets_modules/datasets/ar_cov19/818d9b774f4b70542b6807e6ddb6db32c916aafeba4fbdcd228ec79d21edaeab/ar_cov19.py\", line 131, in _generate_examples\n for fname in sorted(glob.glob(os.path.join(data_dir, \"ArCOV-19-master/dataset/all_tweets/2020-*\"))):\n", + " File \"/root/.cache/huggingface/modules/datasets_modules/datasets/ar_cov19/818d9b774f4b70542b6807e6ddb6db32c916aafeba4fbdcd228ec79d21edaeab/ar_cov19.py\", line 131, in _generate_examples\n for fname in sorted(glob.glob(os.path.join(data_dir, \"ArCOV-19-master/dataset/all_tweets/2020-*\"))):\n", @@ -2695 +2918 @@ - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 500, in xglob\n fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 522, in xglob\n fs, *_ = fsspec.get_fs_token_paths(urlpath, storage_options=storage_options)\n", @@ -2707,4 +2930,4 @@ - " File \"/src/services/worker/src/worker/models/first_rows.py\", line 221, in get_first_rows\n rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 27, in get_rows\n dataset = load_dataset(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1732, in load_dataset\n builder_instance.download_and_prepare(\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 355, in get_first_rows_response\n rows = get_rows(\n", + " File \"/src/services/worker/src/worker/utils.py\", line 123, in decorator\n return func(*args, **kwargs)\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 68, in get_rows\n dataset = load_dataset(\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1746, in load_dataset\n builder_instance.download_and_prepare(\n", @@ -2733,3 +2956,3 @@ - " File \"/src/services/worker/src/worker/models/first_rows.py\", line 214, in get_first_rows\n rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 39, in get_rows\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 345, in get_first_rows_response\n rows = get_rows(\n", + " File \"/src/services/worker/src/worker/utils.py\", line 123, in decorator\n return func(*args, **kwargs)\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 80, in get_rows\n rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1))\n", @@ -2739,4 +2962,4 @@ - " File \"/tmp/modules-cache/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\", line 123, in _generate_examples\n for path, f in files:\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 732, in __iter__\n yield from self.generator(*self.args, **self.kwargs)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 759, in _iter_from_urlpath\n with xopen(urlpath, \"rb\", use_auth_token=use_auth_token) as f:\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 439, in xopen\n file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()\n", + " File \"/root/.cache/huggingface/modules/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\", line 123, in _generate_examples\n for path, f in files:\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 760, in __iter__\n yield from self.generator(*self.args, **self.kwargs)\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 787, in _iter_from_urlpath\n with xopen(urlpath, \"rb\", use_auth_token=use_auth_token) as f:\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py\", line 453, in xopen\n file_obj = fsspec.open(file, mode=mode, *args, **kwargs).open()\n", @@ -2754,4 +2977,4 @@ - " File \"/src/services/worker/src/worker/models/first_rows.py\", line 221, in get_first_rows\n rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number)\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/libutils/utils.py\", line 82, in decorator\n return func(*args, **kwargs)\n", - " File \"/src/services/worker/src/worker/models/row.py\", line 27, in get_rows\n dataset = load_dataset(\n", - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1732, in load_dataset\n builder_instance.download_and_prepare(\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 355, in get_first_rows_response\n rows = get_rows(\n", + " File \"/src/services/worker/src/worker/utils.py\", line 123, in decorator\n return func(*args, **kwargs)\n", + " File \"/src/services/worker/src/worker/responses/first_rows.py\", line 68, in get_rows\n dataset = load_dataset(\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py\", line 1746, in load_dataset\n builder_instance.download_and_prepare(\n", @@ -2761 +2984 @@ - " File \"/tmp/modules-cache/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\", line 95, in _split_generators\n archive = dl_manager.download(my_urls)\n", + " File \"/root/.cache/huggingface/modules/datasets_modules/datasets/atomic/c0f0ec7d10713c41dfc87f0cf17f936b122d22e19216051217c99134d38f6d7b/atomic.py\", line 95, in _split_generators\n archive = dl_manager.download(my_urls)\n", @@ -2763 +2986 @@ - " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 348, in map_nested\n return function(data_struct)\n", + " File \"/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/py_utils.py\", line 385, in map_nested\n return function(data_struct)\n", @@ -2770,21 +2993 @@ - } - } - } - } - }, - "500": { - "description": "The server encountered an error, or the response still hasn't been generated (the process is asynchronous). The client should retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software and should be reported.", - "headers": { - "Cache-Control": { - "$ref": "#/components/headers/Cache-Control" - }, - "Access-Control-Allow-Origin": { - "$ref": "#/components/headers/Access-Control-Allow-Origin" - } - }, - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Status500ErrorContent" - }, - "examples": { + }, diff --git a/e2e/Makefile b/e2e/Makefile index c35079a0..60d82a73 100644 --- a/e2e/Makefile +++ b/e2e/Makefile @@ -7,0 +8 @@ export TEST_MONGO_QUEUE_DATABASE := datasets_server_queue_test +export TEST_ROWS_MAX_NUMBER := 4 @@ -19 +20 @@ e2e: - make test + PYTEST_ARGS=-vv make test diff --git a/e2e/tests/conftest.py b/e2e/tests/conftest.py new file mode 100644 index 00000000..7684382d --- /dev/null +++ b/e2e/tests/conftest.py @@ -0,0 +1,11 @@ +import pytest + +from .utils import URL, poll + + [email protected](autouse=True, scope="session") +def ensure_services_are_up() -> None: + assert poll(f"{URL}/", expected_code=404).status_code == 404 + assert poll(f"{URL}/healthcheck").status_code == 200 + assert poll(f"{URL}/admin/healthcheck").status_code == 200 + # TODO: add endpoints to check the workers are up? diff --git a/e2e/tests/test_api.py b/e2e/tests/test_api.py deleted file mode 100644 index 188bf158..00000000 --- a/e2e/tests/test_api.py +++ /dev/null @@ -1,247 +0,0 @@ -import os -import time - -import requests - -SERVICE_REVERSE_PROXY_PORT = os.environ.get("SERVICE_REVERSE_PROXY_PORT", "8000") - -URL = f"http://localhost:{SERVICE_REVERSE_PROXY_PORT}" - - -def poll_until_valid_response( - url: str, timeout: int = 15, interval: int = 1, error_field: str = "error" -) -> requests.Response: - retries = timeout // interval - should_retry = True - response = None - while retries > 0 and should_retry: - retries -= 1 - time.sleep(interval) - response = requests.get(url) - if response.status_code == 400: - # special case for /splits and /rows. It should be removed once they are deprecated - # it was an error to return 400 if the client should retry - try: - should_retry = "retry" in response.json()[error_field].lower() - except Exception: - should_retry = False - else: - should_retry = response.status_code == 500 - if response is None: - raise RuntimeError("no request has been done") - return response - - -def poll_splits_until_dataset_process_has_finished( - dataset: str, endpoint: str = "splits", timeout: int = 15, interval: int = 1, error_field: str = "error" -) -> requests.Response: - return poll_until_valid_response(f"{URL}/{endpoint}?dataset={dataset}", timeout, interval, error_field) - - -def poll_rows_until_split_process_has_finished( - dataset: str, - config: str, - split: str, - endpoint: str = "splits", - timeout: int = 15, - interval: int = 1, - error_field: str = "error", -) -> requests.Response: - return poll_until_valid_response( - f"{URL}/{endpoint}?dataset={dataset}&config={config}&split={split}", timeout, interval, error_field - ) - - -def test_healthcheck(): - # this tests ensures the nginx reverse proxy and the api are up - response = poll_until_valid_response(f"{URL}/healthcheck", 15, 1) - assert response.status_code == 200 - assert response.text == "ok" - - -def test_valid(): - # this test ensures that the mongo db can be accessed by the api - response = poll_until_valid_response(f"{URL}/valid", 15, 1) - assert response.status_code == 200 - # at this moment no dataset has been processed - assert response.json()["valid"] == [] - - -def test_get_dataset(): - dataset = "acronym_identification" - config = "default" - split = "train" - - # ask for the dataset to be refreshed - response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) - assert response.status_code == 200 - - # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." - response = poll_splits_until_dataset_process_has_finished(dataset, "splits", 60, error_field="message") - assert response.status_code == 200 - - # poll the /rows endpoint until we get something else than "The split is being processed. Retry later." - response = poll_rows_until_split_process_has_finished(dataset, config, split, "rows", 60, error_field="message") - assert response.status_code == 200 - json = response.json() - assert "rows" in json - assert json["rows"][0]["row"]["id"] == "TR-0" - - -def test_get_dataset_next(): - dataset = "acronym_identification" - config = "default" - split = "train" - - # ask for the dataset to be refreshed - response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) - assert response.status_code == 200 - - # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." - response = poll_splits_until_dataset_process_has_finished(dataset, "splits-next", 60) - assert response.status_code == 200 - - # poll the /rows endpoint until we get something else than "The split is being processed. Retry later." - response = poll_rows_until_split_process_has_finished(dataset, config, split, "first-rows", 60) - assert response.status_code == 200 - json = response.json() - - assert "features" in json - assert json["features"][0]["name"] == "id" - assert json["features"][0]["type"]["_type"] == "Value" - assert json["features"][0]["type"]["dtype"] == "string" - assert json["features"][2]["name"] == "labels" - assert json["features"][2]["type"]["_type"] == "Sequence" - assert json["features"][2]["type"]["feature"]["_type"] == "ClassLabel" - assert json["features"][2]["type"]["feature"]["num_classes"] == 5 - assert "rows" in json - assert json["rows"][0]["row"]["id"] == "TR-0" - assert type(json["rows"][0]["row"]["labels"]) is list - assert len(json["rows"][0]["row"]["labels"]) == 18 - assert json["rows"][0]["row"]["labels"][0] == 4 - - -def test_bug_empty_split(): - # see #185 and #177 - # we get an error when: - # - the dataset has been processed and the splits have been created in the database - # - the splits have not been processed and are still in EMPTY status in the database - # - the dataset is processed again, and the splits are marked as STALE - # - they are thus returned with an empty content, instead of an error message - # (waiting for being processsed) - dataset = "nielsr/CelebA-faces" - config = "nielsr--CelebA-faces" - split = "train" - - # ask for the dataset to be refreshed - response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) - assert response.status_code == 200 - - # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." - response = poll_splits_until_dataset_process_has_finished(dataset, "splits", 60) - assert response.status_code == 200 - - # at this point the splits should have been created in the dataset, and still be EMPTY - url = f"{URL}/rows?dataset={dataset}&config={config}&split={split}" - response = requests.get(url) - assert response.status_code == 400 - json = response.json() - assert json["message"] == "The split is being processed. Retry later." - - # ask again for the dataset to be refreshed - response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) - assert response.status_code == 200 - - # at this moment, there is a concurrency race between the datasets worker and the splits worker - # but the dataset worker should finish before, because it's faster on this dataset - # With the bug, if we polled again /rows until we have something else than "being processed", - # we would have gotten a valid response, but with empty rows, which is incorrect - # Now: it gives a correct list of elements - response = poll_rows_until_split_process_has_finished(dataset, config, split, "rows", 60) - assert response.status_code == 200 - json = response.json() - assert len(json["rows"]) == 100 - - -def test_valid_after_two_datasets_processed(): - # this test ensures that the two datasets processed successfully are present in /valid - response = requests.get(f"{URL}/valid") - assert response.status_code == 200 - # at this moment various datasets have been processed - assert response.json()["valid"] == ["acronym_identification", "nielsr/CelebA-faces"] - - -# TODO: enable this test (not sure why it fails) -# def test_timestamp_column(): -# # this test replicates the bug with the Timestamp values, https://github.com/huggingface/datasets/issues/4413 -# dataset = "ett" -# config = "h1" -# split = "train" -# response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) -# assert response.status_code == 200 - -# response = poll_splits_until_dataset_process_has_finished(dataset, "splits", 60) -# assert response.status_code == 200 - -# response = poll_rows_until_split_process_has_finished(dataset, config, split, "rows", 60) -# assert response.status_code == 200 -# json = response.json() -# TRUNCATED_TO_ONE_ROW = 1 -# assert len(json["rows"]) == TRUNCATED_TO_ONE_ROW -# assert json["rows"][0]["row"]["start"] == 1467331200.0 -# assert json["columns"][0]["column"]["type"] == "TIMESTAMP" -# assert json["columns"][0]["column"]["unit"] == "s" -# assert json["columns"][0]["column"]["tz"] is None - - -def test_png_image(): - # this test ensures that an image is saved as PNG if it cannot be saved as PNG - # https://github.com/huggingface/datasets-server/issues/191 - dataset = "wikimedia/wit_base" - config = "wikimedia--wit_base" - split = "train" - response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) - assert response.status_code == 200 - - response = poll_splits_until_dataset_process_has_finished(dataset, "splits", 60) - assert response.status_code == 200 - - response = poll_rows_until_split_process_has_finished(dataset, config, split, "rows", 60 * 3) - assert response.status_code == 200 - json = response.json() - assert json["columns"][0]["column"]["type"] == "RELATIVE_IMAGE_URL" - assert ( - json["rows"][0]["row"]["image"] == "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" - ) - assert ( - json["rows"][20]["row"]["image"] == "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" - ) - - -def test_png_image_next(): - # this test ensures that an image is saved as PNG if it cannot be saved as PNG - # https://github.com/huggingface/datasets-server/issues/191 - dataset = "wikimedia/wit_base" - config = "wikimedia--wit_base" - split = "train" - response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) - assert response.status_code == 200 - - response = poll_splits_until_dataset_process_has_finished(dataset, "splits-next", 60) - assert response.status_code == 200 - - response = poll_rows_until_split_process_has_finished(dataset, config, split, "first-rows", 60 * 3) - assert response.status_code == 200 - json = response.json() - - assert "features" in json - assert json["features"][0]["name"] == "image" - assert json["features"][0]["type"]["_type"] == "Image" - assert ( - json["rows"][0]["row"]["image"] - == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" - ) - assert ( - json["rows"][20]["row"]["image"] - == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" - ) diff --git a/e2e/tests/test_first_rows.py b/e2e/tests/test_first_rows.py new file mode 100644 index 00000000..99e5958b --- /dev/null +++ b/e2e/tests/test_first_rows.py @@ -0,0 +1,86 @@ +import json +from typing import Any + +import pytest +import requests + +from .utils import ( + URL, + get_openapi_body_example, + poll, + refresh_poll_splits_next, + refresh_poll_splits_next_first_rows, +) + + +def prepare_json(response: requests.Response) -> Any: + return json.loads(response.text.replace(URL, "https://datasets-server.huggingface.co")) + + [email protected]( + "status,name,dataset,config,split,error_code", + [ + (200, "imdb", "imdb", "plain_text", "train", None), + (200, "truncated", "ett", "m2", "test", None), + (200, "image", "huggan/horse2zebra", "huggan--horse2zebra-aligned", "train", None), + # (200, "audio", "mozilla-foundation/common_voice_9_0", "en", "train", None), + # ^ awfully long + (404, "inexistent-dataset", "severo/inexistent-dataset", "plain_text", "train", "FirstRowsResponseNotFound"), + ( + 404, + "private-dataset", + "severo/dummy_private", + "severo--embellishments", + "train", + "FirstRowsResponseNotFound", + ), + (404, "inexistent-config", "imdb", "inexistent-config", "train", "FirstRowsResponseNotFound"), + (404, "inexistent-split", "imdb", "plain_text", "inexistent-split", "FirstRowsResponseNotFound"), + (422, "missing-dataset", None, "plain_text", "train", "MissingRequiredParameter"), + (422, "missing-config", "imdb", None, "train", "MissingRequiredParameter"), + (422, "missing-split", "imdb", "plain_text", None, "MissingRequiredParameter"), + (422, "empty-dataset", "", "plain_text", "train", "MissingRequiredParameter"), + (422, "empty-config", "imdb", "", "train", "MissingRequiredParameter"), + (422, "empty-split", "imdb", "plain_text", "", "MissingRequiredParameter"), + (500, "NonMatchingCheckError", "ar_cov19", "ar_cov19", "train", "NormalRowsError"), + (500, "FileNotFoundError", "atomic", "atomic", "train", "NormalRowsError"), + (500, "not-ready", "anli", "plain_text", "train_r1", "FirstRowsResponseNotReady"), + # not tested: 'internal_error' + # TODO: + # "SplitsNamesError", + # "InfoError", + # "FeaturesError", + # "StreamingRowsError", + # "RowsPostProcessingError", + ], +) +def test_first_rows(status: int, name: str, dataset: str, config: str, split: str, error_code: str): + body = get_openapi_body_example("/first-rows", status, name) + + # the logic here is a bit convoluted, because we have no way to refresh a split, we have to refresh the whole + # dataset and depend on the result of /splits-next + if name.startswith("empty-"): + r_rows = poll(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}", error_field="error") + elif name.startswith("missing-"): + d = f"dataset={dataset}" if dataset is not None else "" + c = f"config={config}" if config is not None else "" + s = f"split={split}" if split is not None else "" + params = "&".join([d, c, s]) + r_rows = poll(f"{URL}/first-rows?{params}", error_field="error") + elif name.startswith("inexistent-") or name.startswith("private-"): + refresh_poll_splits_next(dataset) + # no need to retry + r_rows = requests.get(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}") + elif name == "not-ready": + refresh_poll_splits_next(dataset) + # poll the endpoint before the worker had the chance to process it + r_rows = requests.get(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}") + else: + _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) + + assert r_rows.status_code == status + assert prepare_json(r_rows) == body + if error_code is not None: + assert r_rows.headers["X-Error-Code"] == error_code + else: + assert "X-Error-Code" not in r_rows.headers diff --git a/e2e/tests/test_healthcheck.py b/e2e/tests/test_healthcheck.py new file mode 100644 index 00000000..b5731c7b --- /dev/null +++ b/e2e/tests/test_healthcheck.py @@ -0,0 +1,8 @@ +from .utils import URL, poll + + +def test_healthcheck(): + # this tests ensures the nginx reverse proxy and the api are up + response = poll(f"{URL}/healthcheck") + assert response.status_code == 200 + assert response.text == "ok" diff --git a/e2e/tests/test_splits_and_rows.py b/e2e/tests/test_splits_and_rows.py new file mode 100644 index 00000000..63eb1467 --- /dev/null +++ b/e2e/tests/test_splits_and_rows.py @@ -0,0 +1,101 @@ +import requests + +from .utils import ( + ROWS_MAX_NUMBER, + URL, + poll_rows, + poll_splits, + post_refresh, + refresh_poll_splits_rows, +) + + +def test_get_dataset(): + dataset = "acronym_identification" + config = "default" + split = "train" + + r_splits, r_rows = refresh_poll_splits_rows(dataset, config, split) + assert r_splits.json()["splits"][0]["split"] == "train" + assert r_rows.json()["rows"][0]["row"]["id"] == "TR-0" + + +# TODO: find a dataset that can be processed faster +def test_bug_empty_split(): + # see #185 and #177 + # we get an error when: + # - the dataset has been processed and the splits have been created in the database + # - the splits have not been processed and are still in EMPTY status in the database + # - the dataset is processed again, and the splits are marked as STALE + # - they are thus returned with an empty content, instead of an error message + # (waiting for being processsed) + dataset = "nielsr/CelebA-faces" + config = "nielsr--CelebA-faces" + split = "train" + + # ask for the dataset to be refreshed + response = post_refresh(dataset) + assert response.status_code == 200 + + # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." + response = poll_splits(dataset) + assert response.status_code == 200 + + # at this point the splits should have been created in the dataset, and still be EMPTY + url = f"{URL}/rows?dataset={dataset}&config={config}&split={split}" + response = requests.get(url) + assert response.status_code == 400 + json = response.json() + assert json["message"] == "The split is being processed. Retry later." + + # ask again for the dataset to be refreshed + response = requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) + assert response.status_code == 200 + + # at this moment, there is a concurrency race between the datasets worker and the splits worker + # but the dataset worker should finish before, because it's faster on this dataset + # With the bug, if we polled again /rows until we have something else than "being processed", + # we would have gotten a valid response, but with empty rows, which is incorrect + # Now: it gives a correct list of elements + response = poll_rows(dataset, config, split) + assert response.status_code == 200 + json = response.json() + assert len(json["rows"]) == ROWS_MAX_NUMBER + + +# TODO: enable again when we will have the same behavior with 4 rows (ROWS_MAX_NUMBER) +# TODO: find a dataset that can be processed faster +# def test_png_image(): +# # this test ensures that an image is saved as PNG if it cannot be saved as PNG +# # https://github.com/huggingface/datasets-server/issues/191 +# dataset = "wikimedia/wit_base" +# config = "wikimedia--wit_base" +# split = "train" + +# _, r_rows = refresh_poll_splits_rows(dataset, config, split) + +# json = r_rows.json() +# assert json["columns"][0]["column"]["type"] == "RELATIVE_IMAGE_URL" +# assert ( +# json["rows"][0]["row"]["image"] == "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" +# ) +# assert ( +# json["rows"][20]["row"]["image"] == +# "assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" +# ) + + +# TODO: enable this test (not sure why it fails) +# def test_timestamp_column(): +# # this test replicates the bug with the Timestamp values, https://github.com/huggingface/datasets/issues/4413 +# dataset = "ett" +# config = "h1" +# split = "train" +# _, r_rows = refresh_poll_splits_rows(dataset, config, split) +# json = r_rows.json() +# TRUNCATED_TO_ONE_ROW = 1 +# assert len(json["rows"]) == TRUNCATED_TO_ONE_ROW +# assert json["rows"][0]["row"]["start"] == 1467331200.0 +# assert json["columns"][0]["column"]["type"] == "TIMESTAMP" +# assert json["columns"][0]["column"]["unit"] == "s" +# assert json["columns"][0]["column"]["tz"] is None diff --git a/e2e/tests/test_splits_next.py b/e2e/tests/test_splits_next.py new file mode 100644 index 00000000..d1bdedd5 --- /dev/null +++ b/e2e/tests/test_splits_next.py @@ -0,0 +1,47 @@ +import pytest +import requests + +from .utils import ( + URL, + get_openapi_body_example, + poll, + post_refresh, + refresh_poll_splits_next, +) + + [email protected]( + "status,name,dataset,error_code", + [ + (200, "duorc", "duorc", None), + (200, "emotion", "emotion", None), + (404, "inexistent-dataset", "severo/inexistent-dataset", "SplitsResponseNotFound"), + (404, "private-dataset", "severo/dummy_private", "SplitsResponseNotFound"), + (422, "empty-parameter", "", "MissingRequiredParameter"), + (422, "missing-parameter", None, "MissingRequiredParameter"), + (500, "SplitsNotFoundError", "natural_questions", "SplitsNamesError"), + (500, "FileNotFoundError", "akhaliq/test", "SplitsNamesError"), + (500, "not-ready", "a_new_dataset", "SplitsResponseNotReady"), + # not tested: 'internal_error' + ], +) +def test_splits_next(status: int, name: str, dataset: str, error_code: str): + body = get_openapi_body_example("/splits-next", status, name) + + if name == "empty-parameter": + r_splits = poll(f"{URL}/splits-next?dataset=", error_field="error") + elif name == "missing-parameter": + r_splits = poll(f"{URL}/splits-next", error_field="error") + elif name == "not-ready": + post_refresh(dataset) + # poll the endpoint before the worker had the chance to process it + r_splits = requests.get(f"{URL}/splits-next?dataset={dataset}") + else: + r_splits = refresh_poll_splits_next(dataset) + + assert r_splits.status_code == status + assert r_splits.json() == body + if error_code is not None: + assert r_splits.headers["X-Error-Code"] == error_code + else: + assert "X-Error-Code" not in r_splits.headers diff --git a/e2e/tests/test_splits_next_and_first_rows.py b/e2e/tests/test_splits_next_and_first_rows.py new file mode 100644 index 00000000..ae026989 --- /dev/null +++ b/e2e/tests/test_splits_next_and_first_rows.py @@ -0,0 +1,54 @@ +from .utils import ROWS_MAX_NUMBER, URL, refresh_poll_splits_next_first_rows + + +def test_get_dataset_next(): + dataset = "acronym_identification" + config = "default" + split = "train" + + r_splits, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) + assert r_splits.json()["splits"][0]["split_name"] == "train" + + assert r_rows.status_code == 200 + json = r_rows.json() + assert "features" in json + assert json["features"][0]["name"] == "id" + assert json["features"][0]["type"]["_type"] == "Value" + assert json["features"][0]["type"]["dtype"] == "string" + assert json["features"][2]["name"] == "labels" + assert json["features"][2]["type"]["_type"] == "Sequence" + assert json["features"][2]["type"]["feature"]["_type"] == "ClassLabel" + assert json["features"][2]["type"]["feature"]["num_classes"] == 5 + assert "rows" in json + assert len(json["rows"]) == ROWS_MAX_NUMBER + assert json["rows"][0]["row"]["id"] == "TR-0" + assert type(json["rows"][0]["row"]["labels"]) is list + assert len(json["rows"][0]["row"]["labels"]) == 18 + assert json["rows"][0]["row"]["labels"][0] == 4 + + +# TODO: find a dataset that can be processed faster +def test_png_image_next(): + # this test ensures that an image is saved as PNG if it cannot be saved as PNG + # https://github.com/huggingface/datasets-server/issues/191 + dataset = "wikimedia/wit_base" + config = "wikimedia--wit_base" + split = "train" + + _, r_rows = refresh_poll_splits_next_first_rows(dataset, config, split) + + assert r_rows.status_code == 200 + json = r_rows.json() + + assert "features" in json + assert json["features"][0]["name"] == "image" + assert json["features"][0]["type"]["_type"] == "Image" + assert ( + json["rows"][0]["row"]["image"] + == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/0/image/image.jpg" + ) + # assert ( + # json["rows"][20]["row"]["image"] + # == f"{URL}/assets/wikimedia/wit_base/--/wikimedia--wit_base/train/20/image/image.png" + # ) + # ^only four rows for now diff --git a/e2e/tests/test_valid.py b/e2e/tests/test_valid.py new file mode 100644 index 00000000..0c6dc0b2 --- /dev/null +++ b/e2e/tests/test_valid.py @@ -0,0 +1,12 @@ +import requests + +from .utils import URL + + +def test_valid_after_datasets_processed(): + # this test ensures that the datasets processed successfully are present in /valid + response = requests.get(f"{URL}/valid") + assert response.status_code == 200 + # at this moment various datasets have been processed (due to the alphabetic order of the test files) + assert "acronym_identification" in response.json()["valid"] + assert "nielsr/CelebA-faces" in response.json()["valid"] diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py new file mode 100644 index 00000000..bee0d90b --- /dev/null +++ b/e2e/tests/utils.py @@ -0,0 +1,103 @@ +import json +import os +import time +from os.path import dirname, join +from typing import Optional, Tuple + +import requests + +SERVICE_REVERSE_PROXY_PORT = os.environ.get("SERVICE_REVERSE_PROXY_PORT", "8000") +ROWS_MAX_NUMBER = int(os.environ.get("ROWS_MAX_NUMBER", 100)) +INTERVAL = 1 +MAX_DURATION = 10 * 60 +URL = f"http://localhost:{SERVICE_REVERSE_PROXY_PORT}" + + +def poll(url: str, error_field: Optional[str] = None, expected_code: Optional[int] = 200) -> requests.Response: + interval = INTERVAL + timeout = MAX_DURATION + retries = timeout // interval + should_retry = True + response = None + while retries > 0 and should_retry: + retries -= 1 + time.sleep(interval) + response = requests.get(url) + if error_field is not None: + # currently, when the dataset is being processed, the error message contains "Retry later" + try: + should_retry = "retry later" in response.json()[error_field].lower() + except Exception: + should_retry = False + else: + # just retry if the response is not the expected code + should_retry = response.status_code != expected_code + if response is None: + raise RuntimeError("no request has been done") + return response + + +def post_refresh(dataset: str) -> requests.Response: + return requests.post(f"{URL}/webhook", json={"update": f"datasets/{dataset}"}) + + +def poll_splits(dataset: str) -> requests.Response: + return poll(f"{URL}/splits?dataset={dataset}", error_field="message") + + +def poll_rows(dataset: str, config: str, split: str) -> requests.Response: + return poll(f"{URL}/rows?dataset={dataset}&config={config}&split={split}", error_field="message") + + +def refresh_poll_splits_rows(dataset: str, config: str, split: str) -> Tuple[requests.Response, requests.Response]: + # ask for the dataset to be refreshed + response = post_refresh(dataset) + assert response.status_code == 200 + + # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." + response_splits = poll_splits(dataset) + assert response.status_code == 200 + + # poll the /rows endpoint until we get something else than "The split is being processed. Retry later." + response_rows = poll_rows(dataset, config, split) + assert response.status_code == 200 + + return response_splits, response_rows + + +def poll_splits_next(dataset: str) -> requests.Response: + return poll(f"{URL}/splits-next?dataset={dataset}", error_field="error") + + +def poll_first_rows(dataset: str, config: str, split: str) -> requests.Response: + return poll(f"{URL}/first-rows?dataset={dataset}&config={config}&split={split}", error_field="error") + + +def refresh_poll_splits_next(dataset: str) -> requests.Response: + # ask for the dataset to be refreshed + response = post_refresh(dataset) + assert response.status_code == 200 + + # poll the /splits endpoint until we get something else than "The dataset is being processed. Retry later." + return poll_splits_next(dataset) + + +def refresh_poll_splits_next_first_rows( + dataset: str, config: str, split: str +) -> Tuple[requests.Response, requests.Response]: + response_splits = refresh_poll_splits_next(dataset) + assert response_splits.status_code == 200 + + response_rows = poll_first_rows(dataset, config, split) + + return response_splits, response_rows + + +def get_openapi_body_example(path, status, example_name): + root = dirname(dirname(dirname(__file__))) + openapi_filename = join(root, "chart", "static-files", "openapi.json") + with open(openapi_filename) as json_file: + openapi = json.load(json_file) + return openapi["paths"][path]["get"]["responses"][str(status)]["content"]["application/json"]["examples"][ + example_name + ]["value"] diff --git a/libs/libcache/dist/libcache-0.1.17-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.17-py3-none-any.whl new file mode 100644 index 00000000..9a580720 Binary files /dev/null and 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b/libs/libcache/dist/libcache-0.1.23-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.23.tar.gz b/libs/libcache/dist/libcache-0.1.23.tar.gz new file mode 100644 index 00000000..325a89cf Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.23.tar.gz differ diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index ddaa7934..e19e1926 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -400 +400 @@ name = "libutils" -version = "0.1.5" +version = "0.1.11" @@ -413 +413 @@ type = "file" -url = "../libutils/dist/libutils-0.1.5-py3-none-any.whl" +url = "../libutils/dist/libutils-0.1.11-py3-none-any.whl" @@ -1046 +1046 @@ python-versions = "3.9.6" -content-hash = "68b6e1e446c319b5636f7f8f7d47ded0d48676af40e149edc2e24b4bce756b18" +content-hash = "ee3059c54fe77b9c90e8d88b7671c7a4d3ad0f9ed5b8d58757a6014a025dad4a" @@ -1217 +1217 @@ libutils = [ - {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, + {file = "libutils-0.1.11-py3-none-any.whl", hash = "sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c"}, diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index 7b9308e4..29d21556 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5 +5 @@ name = "libcache" -version = "0.1.16" +version = "0.1.23" @@ -19 +19 @@ isort = "^5.9.3" -libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl", develop = false } diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 1b29c9b1..11a01ff0 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -1 +0,0 @@ -import enum @@ -4,0 +4 @@ from datetime import datetime, timezone +from http import HTTPStatus @@ -44,7 +43,0 @@ def connect_to_cache(database, host) -> None: -# subset of https://docs.python.org/3/library/http.html#http.HTTPStatus -class HTTPStatus(enum.Enum): - OK = "200" - BAD_REQUEST = "400" - INTERNAL_SERVER_ERROR = "500" - - @@ -58,0 +52 @@ class SplitsResponse(Document): + error_code = StringField(required=False) @@ -67 +61 @@ class SplitsResponse(Document): - "indexes": ["dataset_name", "http_status", "stale"], + "indexes": ["dataset_name", "http_status", "stale", "error_code"], @@ -77,0 +72 @@ class FirstRowsResponse(Document): + error_code = StringField(required=False) @@ -90,0 +86 @@ class FirstRowsResponse(Document): + "error_code", @@ -104 +100,5 @@ def upsert_splits_response( - dataset_name: str, response: Dict, http_status: HTTPStatus, details: Optional[Dict] = None + dataset_name: str, + response: Dict, + http_status: HTTPStatus, + error_code: Optional[str] = None, + details: Optional[Dict] = None, @@ -107,0 +108 @@ def upsert_splits_response( + error_code=error_code, @@ -124 +125 @@ def mark_splits_responses_as_stale(dataset_name: str): -def get_splits_response(dataset_name: str) -> Tuple[Dict, HTTPStatus]: +def get_splits_response(dataset_name: str) -> Tuple[Dict, HTTPStatus, Optional[str]]: @@ -126 +127 @@ def get_splits_response(dataset_name: str) -> Tuple[Dict, HTTPStatus]: - return split_response.response, split_response.http_status + return split_response.response, split_response.http_status, split_response.error_code @@ -136,0 +138 @@ def upsert_first_rows_response( + error_code: Optional[str] = None, @@ -140 +142,6 @@ def upsert_first_rows_response( - http_status=http_status, response=response, stale=False, details=details, updated_at=get_datetime() + http_status=http_status, + error_code=error_code, + response=response, + stale=False, + details=details, + updated_at=get_datetime(), @@ -167 +174,3 @@ def mark_first_rows_responses_as_stale( -def get_first_rows_response(dataset_name: str, config_name: str, split_name: str) -> Tuple[Dict, HTTPStatus]: +def get_first_rows_response( + dataset_name: str, config_name: str, split_name: str +) -> Tuple[Dict, HTTPStatus, Optional[str]]: @@ -171 +180 @@ def get_first_rows_response(dataset_name: str, config_name: str, split_name: str - return first_rows_response.response, first_rows_response.http_status + return first_rows_response.response, first_rows_response.http_status, first_rows_response.error_code @@ -200 +209 @@ def get_valid_dataset_names() -> List[str]: -# /pending-jobs endpoint +# admin /metrics endpoint @@ -203,4 +212 @@ def get_valid_dataset_names() -> List[str]: -class CountByHTTPStatus(TypedDict): - OK: int - BAD_REQUEST: int - INTERNAL_SERVER_ERROR: int +CountByHTTPStatus = Dict[str, int] @@ -210,4 +216 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt - # ensure that all the statuses are present, even if equal to zero - # note: we repeat the values instead of looping on Status because we don't know how to get the types right in mypy - # result: CountByStatus = {s.value: entries(status=s.value).count() for s in Status} # <- doesn't work in mypy - # see https://stackoverflow.com/a/67292548/7351594 + # return {http_status.name: entries(http_status=http_status).count() for http_status in HTTPStatus} @@ -215,3 +218,2 @@ def get_entries_count_by_status(entries: QuerySet[AnyResponse]) -> CountByHTTPSt - "OK": entries(http_status=HTTPStatus.OK.value).count(), - "BAD_REQUEST": entries(http_status=HTTPStatus.BAD_REQUEST.value).count(), - "INTERNAL_SERVER_ERROR": entries(http_status=HTTPStatus.INTERNAL_SERVER_ERROR).count(), + HTTPStatus(http_status).name: entries(http_status=http_status).count() + for http_status in sorted(entries.distinct("http_status")) @@ -222 +223,0 @@ def get_splits_responses_count_by_status() -> CountByHTTPStatus: - # TODO: take the splits statuses into account? @@ -229,0 +231,15 @@ def get_first_rows_responses_count_by_status() -> CountByHTTPStatus: +CountByErrorCode = Dict[str, int] + + +def get_entries_count_by_error_code(entries: QuerySet[AnyResponse]) -> CountByErrorCode: + return {error_code: entries(error_code=error_code).count() for error_code in entries.distinct("error_code")} + + +def get_splits_responses_count_by_error_code() -> CountByErrorCode: + return get_entries_count_by_error_code(SplitsResponse.objects) + + +def get_first_rows_responses_count_by_error_code() -> CountByErrorCode: + return get_entries_count_by_error_code(FirstRowsResponse.objects) + + @@ -258 +274 @@ class SplitsResponseReport(TypedDict): - status: str + status: int @@ -266 +282 @@ class FirstRowsResponseReport(TypedDict): - status: str + status: int diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index cd6e29a2..470923b4 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -0,0 +1,2 @@ +from http import HTTPStatus + @@ -6 +7,0 @@ from libcache.simple_cache import ( - HTTPStatus, @@ -48 +49 @@ def test_upsert_splits_response() -> None: - response1, http_status = get_splits_response(dataset_name) + response1, http_status, error_code = get_splits_response(dataset_name) @@ -50,0 +52 @@ def test_upsert_splits_response() -> None: + assert error_code is None @@ -54 +56 @@ def test_upsert_splits_response() -> None: - (response2, _) = get_splits_response(dataset_name) + (response2, _, _) = get_splits_response(dataset_name) @@ -68,0 +71,6 @@ def test_upsert_splits_response() -> None: + upsert_splits_response(dataset_name, response, HTTPStatus.BAD_REQUEST, "error_code") + response3, http_status, error_code = get_splits_response(dataset_name) + assert response3 == response + assert http_status == HTTPStatus.BAD_REQUEST + assert error_code == "error_code" + @@ -76 +84 @@ def test_upsert_first_rows_response() -> None: - response1, http_status = get_first_rows_response(dataset_name, config_name, split_name) + response1, http_status, _ = get_first_rows_response(dataset_name, config_name, split_name) @@ -82 +90 @@ def test_upsert_first_rows_response() -> None: - (response2, _) = get_first_rows_response(dataset_name, config_name, split_name) + (response2, _, _) = get_first_rows_response(dataset_name, config_name, split_name) @@ -186 +194 @@ def test_count_by_status() -> None: - assert get_splits_responses_count_by_status() == {"OK": 0, "BAD_REQUEST": 0, "INTERNAL_SERVER_ERROR": 0} + assert "OK" not in get_splits_responses_count_by_status() @@ -194,2 +202,2 @@ def test_count_by_status() -> None: - assert get_splits_responses_count_by_status() == {"OK": 1, "BAD_REQUEST": 0, "INTERNAL_SERVER_ERROR": 0} - assert get_first_rows_responses_count_by_status() == {"OK": 0, "BAD_REQUEST": 0, "INTERNAL_SERVER_ERROR": 0} + assert get_splits_responses_count_by_status()["OK"] == 1 + assert "OK" not in get_first_rows_responses_count_by_status() @@ -207 +215 @@ def test_count_by_status() -> None: - assert get_first_rows_responses_count_by_status() == {"OK": 1, "BAD_REQUEST": 0, "INTERNAL_SERVER_ERROR": 0} + assert get_splits_responses_count_by_status()["OK"] == 1 @@ -252,0 +261 @@ def test_reports() -> None: + "RowsPostProcessingError", @@ -282 +291 @@ def test_reports() -> None: - {"dataset": "a", "error": None, "status": "200"}, + {"dataset": "a", "error": None, "status": HTTPStatus.OK.value}, @@ -289 +298,6 @@ def test_reports() -> None: - "status": "400", + "status": HTTPStatus.BAD_REQUEST.value, + }, + { + "dataset": "c", + "error": {"message": "cannot write mode RGBA as JPEG"}, + "status": HTTPStatus.INTERNAL_SERVER_ERROR.value, @@ -291 +304,0 @@ def test_reports() -> None: - {"dataset": "c", "error": {"message": "cannot write mode RGBA as JPEG"}, "status": "500"}, diff --git a/libs/libutils/dist/libutils-0.1.10-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.10-py3-none-any.whl new file mode 100644 index 00000000..875f516b Binary files /dev/null and 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diff --git a/libs/libutils/dist/libutils-0.1.8.tar.gz b/libs/libutils/dist/libutils-0.1.8.tar.gz new file mode 100644 index 00000000..5a7e2e66 Binary files /dev/null and b/libs/libutils/dist/libutils-0.1.8.tar.gz differ diff --git a/libs/libutils/dist/libutils-0.1.9-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.9-py3-none-any.whl new file mode 100644 index 00000000..d00447c0 Binary files /dev/null and b/libs/libutils/dist/libutils-0.1.9-py3-none-any.whl differ diff --git a/libs/libutils/dist/libutils-0.1.9.tar.gz b/libs/libutils/dist/libutils-0.1.9.tar.gz new file mode 100644 index 00000000..b948a753 Binary files /dev/null and b/libs/libutils/dist/libutils-0.1.9.tar.gz differ diff --git a/libs/libutils/pyproject.toml b/libs/libutils/pyproject.toml index 13676622..a1e4d02a 100644 --- a/libs/libutils/pyproject.toml +++ b/libs/libutils/pyproject.toml @@ -5 +5 @@ name = "libutils" -version = "0.1.5" +version = "0.1.11" diff --git a/libs/libutils/src/libutils/exceptions.py b/libs/libutils/src/libutils/exceptions.py index 84425919..faf559f6 100644 --- a/libs/libutils/src/libutils/exceptions.py +++ b/libs/libutils/src/libutils/exceptions.py @@ -3 +3,2 @@ import traceback -from typing import List, Optional, TypedDict +from http import HTTPStatus +from typing import List, Optional, TypedDict, Union @@ -5,0 +7,59 @@ from typing import List, Optional, TypedDict +class ErrorResponseWithoutCause(TypedDict): + error: str + + +class ErrorResponseWithCause(ErrorResponseWithoutCause, total=False): + cause_exception: str + cause_message: str + cause_traceback: List[str] + + +ErrorResponse = Union[ErrorResponseWithoutCause, ErrorResponseWithCause] + + +class CustomError(Exception): + """Base class for exceptions in this module.""" + + def __init__( + self, + message: str, + status_code: HTTPStatus, + code: str, + cause: Optional[BaseException] = None, + disclose_cause: bool = False, + ): + super().__init__(message) + self.exception = type(self).__name__ + self.status_code = status_code + self.code = code + self.message = str(self) + if cause is not None: + self.cause_exception: Optional[str] = type(cause).__name__ + self.cause_message: Optional[str] = str(cause) + (t, v, tb) = sys.exc_info() + self.cause_traceback: Optional[List[str]] = traceback.format_exception(t, v, tb) + self.disclose_cause = disclose_cause + else: + self.cause_exception = None + self.cause_message = None + self.cause_traceback = None + self.disclose_cause = False + + def as_response_with_cause(self) -> ErrorResponseWithCause: + error: ErrorResponseWithCause = {"error": self.message} + if self.cause_exception is not None: + error["cause_exception"] = self.cause_exception + if self.cause_message is not None: + error["cause_message"] = self.cause_message + if self.cause_traceback is not None: + error["cause_traceback"] = self.cause_traceback + return error + + def as_response_without_cause(self) -> ErrorResponseWithoutCause: + return {"error": self.message} + + def as_response(self) -> ErrorResponse: + return self.as_response_with_cause() if self.disclose_cause else self.as_response_without_cause() + + +# to be deprecated diff --git a/libs/libutils/src/libutils/utils.py b/libs/libutils/src/libutils/utils.py index b75779eb..1d6ab598 100644 --- a/libs/libutils/src/libutils/utils.py +++ b/libs/libutils/src/libutils/utils.py @@ -2,2 +1,0 @@ import base64 -import functools -import time @@ -5 +2,0 @@ from distutils.util import strtobool -from logging import Logger @@ -40 +37 @@ def get_str_value(d: GenericDict, key: str, default: str) -> str: - return default if value == "" else value + return value or default @@ -53 +50 @@ def get_str_or_none_value(d: GenericDict, key: str, default: Union[str, None]) - - return default if value == "" else value + return value or default @@ -65,26 +61,0 @@ def orjson_dumps(content: Any) -> bytes: - - -def retry(logger: Logger): - def decorator_retry(func): - """retries with an increasing sleep before every attempt""" - SLEEPS = [1, 7, 70, 7 * 60, 70 * 60] - MAX_ATTEMPTS = len(SLEEPS) - - @functools.wraps(func) - def decorator(*args, **kwargs): - attempt = 0 - while attempt < MAX_ATTEMPTS: - try: - """always sleep before calling the function. It will prevent rate limiting in the first place""" - duration = SLEEPS[attempt] - logger.info(f"Sleep during {duration} seconds to preventively mitigate rate limiting.") - time.sleep(duration) - return func(*args, **kwargs) - except ConnectionError: - logger.info("Got a ConnectionError, possibly due to rate limiting. Let's retry.") - attempt += 1 - raise Exception(f"Give up after {attempt} attempts with ConnectionError") - - return decorator - - return decorator_retry diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index c98809e5..5bac7f0d 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -456 +456 @@ name = "libcache" -version = "0.1.16" +version = "0.1.23" @@ -470 +470 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl" @@ -491 +491 @@ name = "libutils" -version = "0.1.5" +version = "0.1.11" @@ -504 +504 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl" @@ -1201 +1201 @@ python-versions = "3.9.6" -content-hash = "5bbeeb7ed416503fb906a8fb5f9a430764f97f03f9749ab239a121f3c53c260e" +content-hash = "eb94ab2091e41d32518871f0038e1d1a0c705d5c5ca0714490ed021d0fb6dc9c" @@ -1471 +1471 @@ libcache = [ - {file = "libcache-0.1.16-py3-none-any.whl", hash = "sha256:d0c8606cbc4b3c703e0ebe51a1cd6774c11a85ab893360ff0900fb16c2e7634d"}, + {file = "libcache-0.1.23-py3-none-any.whl", hash = "sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb"}, @@ -1477 +1477 @@ libutils = [ - {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, + {file = "libutils-0.1.11-py3-none-any.whl", hash = "sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index c4867483..78fadb79 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -9 +9 @@ huggingface-hub = "^0.6.0" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl", develop = false } @@ -11 +11 @@ libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", -libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl", develop = false } diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 9618efdf..086cefd4 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -51,2 +51,4 @@ def test_metrics(client: TestClient) -> None: - assert 'cache_entries_total{cache="splits/",status="BAD_REQUEST"}' in metrics - assert 'cache_entries_total{cache="first-rows/",status="INTERNAL_SERVER_ERROR"}' in metrics + # still empty + assert 'cache_entries_total{cache="splits/",status="BAD_REQUEST"}' not in metrics + # still empty + assert 'cache_entries_total{cache="first-rows/",status="INTERNAL_SERVER_ERROR"}' not in metrics diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 6cdbb7c7..5805e705 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -455 +455 @@ name = "libcache" -version = "0.1.14" +version = "0.1.23" @@ -469 +469 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl" @@ -490 +490 @@ name = "libutils" -version = "0.1.5" +version = "0.1.11" @@ -503 +503 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl" @@ -1200 +1200 @@ python-versions = "3.9.6" -content-hash = "895ca8658ef15a1dfd6f107f94b756232ed37ffdbd90894abf0404c2d9273605" +content-hash = "6b89be56d2d74637a2198ac9bb6f56d4428b5b7fb3f23786dec8a60e5676b2fa" @@ -1470 +1470 @@ libcache = [ - {file = "libcache-0.1.14-py3-none-any.whl", hash = "sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5"}, + {file = "libcache-0.1.23-py3-none-any.whl", hash = "sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb"}, @@ -1476 +1476 @@ libutils = [ - {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, + {file = "libutils-0.1.11-py3-none-any.whl", hash = "sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c"}, diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 5e49d1b6..2c29522c 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -9 +9 @@ huggingface-hub = "^0.5.1" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl", develop = false } @@ -11 +11 @@ libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", -libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl", develop = false } diff --git a/services/api/src/api/routes/_utils.py b/services/api/src/api/routes/_utils.py deleted file mode 100644 index 9f55980f..00000000 --- a/services/api/src/api/routes/_utils.py +++ /dev/null @@ -1,14 +0,0 @@ -from typing import Any - -from libutils.utils import orjson_dumps -from starlette.responses import JSONResponse, Response - - -class OrjsonResponse(JSONResponse): - def render(self, content: Any) -> bytes: - return orjson_dumps(content) - - -def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response: - headers = {"Cache-Control": f"max-age={max_age}"} if max_age > 0 else {"Cache-Control": "no-store"} - return OrjsonResponse(content, status_code=status_code, headers=headers) diff --git a/services/api/src/api/routes/first_rows.py b/services/api/src/api/routes/first_rows.py index 88d02b63..8400285f 100644 --- a/services/api/src/api/routes/first_rows.py +++ b/services/api/src/api/routes/first_rows.py @@ -1,0 +2 @@ import logging +from http import HTTPStatus @@ -3 +4 @@ import logging -from libcache.simple_cache import DoesNotExist, HTTPStatus, get_first_rows_response +from libcache.simple_cache import DoesNotExist, get_first_rows_response @@ -5 +5,0 @@ from libqueue.queue import is_first_rows_response_in_process -from libutils.exceptions import Status400Error, Status500Error @@ -9,2 +9,11 @@ from starlette.responses import Response -from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS -from api.routes._utils import get_response +from api.utils import ( + ApiCustomError, + FirstRowsResponseNotFoundError, + FirstRowsResponseNotReadyError, + MissingRequiredParameterError, + UnexpectedError, + are_valid_parameters, + get_json_api_error_response, + get_json_error_response, + get_json_ok_response, +) @@ -22,6 +31,2 @@ async def first_rows_endpoint(request: Request) -> Response: - if not isinstance(dataset_name, str) or not isinstance(config_name, str) or not isinstance(split_name, str): - return get_response( - Status400Error("Parameters 'dataset', 'config' and 'split' are required").as_response(), - 400, - MAX_AGE_SHORT_SECONDS, - ) + if not are_valid_parameters([dataset_name, config_name, split_name]): + raise MissingRequiredParameterError("Parameters 'dataset', 'config' and 'split' are required") @@ -29,7 +34,6 @@ async def first_rows_endpoint(request: Request) -> Response: - response, http_status = get_first_rows_response(dataset_name, config_name, split_name) - return get_response( - response, - int(http_status.value), - MAX_AGE_LONG_SECONDS if http_status == HTTPStatus.OK else MAX_AGE_SHORT_SECONDS, - ) - except DoesNotExist: + response, http_status, error_code = get_first_rows_response(dataset_name, config_name, split_name) + if http_status == HTTPStatus.OK: + return get_json_ok_response(response) + else: + return get_json_error_response(response, http_status, error_code) + except DoesNotExist as e: @@ -37,5 +41,3 @@ async def first_rows_endpoint(request: Request) -> Response: - return get_response( - Status500Error("The list of the first rows is not ready yet. Please retry later.").as_response(), - 500, - MAX_AGE_SHORT_SECONDS, - ) + raise FirstRowsResponseNotReadyError( + "The list of the first rows is not ready yet. Please retry later." + ) from e @@ -43,7 +45,5 @@ async def first_rows_endpoint(request: Request) -> Response: - return get_response( - Status400Error("Not found.").as_response(), - 400, - MAX_AGE_SHORT_SECONDS, - ) - except Exception as err: - return get_response(Status500Error("Unexpected error.", err).as_response(), 500, MAX_AGE_SHORT_SECONDS) + raise FirstRowsResponseNotFoundError("Not found.") from e + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception: + return get_json_api_error_response(UnexpectedError("Unexpected error.")) diff --git a/services/api/src/api/routes/rows.py b/services/api/src/api/routes/rows.py index a9a967eb..3c52bc71 100644 --- a/services/api/src/api/routes/rows.py +++ b/services/api/src/api/routes/rows.py @@ -9 +9 @@ from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS -from api.routes._utils import get_response +from api.utils import get_response diff --git a/services/api/src/api/routes/splits.py b/services/api/src/api/routes/splits.py index 1f643be8..a2a620ea 100644 --- a/services/api/src/api/routes/splits.py +++ b/services/api/src/api/routes/splits.py @@ -9 +9 @@ from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS -from api.routes._utils import get_response +from api.utils import get_response diff --git a/services/api/src/api/routes/splits_next.py b/services/api/src/api/routes/splits_next.py index 56e2257e..e3cb5c26 100644 --- a/services/api/src/api/routes/splits_next.py +++ b/services/api/src/api/routes/splits_next.py @@ -1,0 +2 @@ import logging +from http import HTTPStatus @@ -3 +4 @@ import logging -from libcache.simple_cache import DoesNotExist, HTTPStatus, get_splits_response +from libcache.simple_cache import DoesNotExist, get_splits_response @@ -5 +5,0 @@ from libqueue.queue import is_splits_response_in_process -from libutils.exceptions import Status400Error, Status500Error @@ -9,2 +9,11 @@ from starlette.responses import Response -from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS -from api.routes._utils import get_response +from api.utils import ( + ApiCustomError, + MissingRequiredParameterError, + SplitsResponseNotFoundError, + SplitsResponseNotReadyError, + UnexpectedError, + are_valid_parameters, + get_json_api_error_response, + get_json_error_response, + get_json_ok_response, +) @@ -20,4 +29,2 @@ async def splits_endpoint_next(request: Request) -> Response: - if not isinstance(dataset_name, str): - return get_response( - Status400Error("Parameter 'dataset' is required").as_response(), 400, MAX_AGE_SHORT_SECONDS - ) + if not are_valid_parameters([dataset_name]): + raise MissingRequiredParameterError("Parameter 'dataset' is required") @@ -25,7 +32,6 @@ async def splits_endpoint_next(request: Request) -> Response: - response, http_status = get_splits_response(dataset_name) - return get_response( - response, - int(http_status.value), - MAX_AGE_LONG_SECONDS if http_status == HTTPStatus.OK else MAX_AGE_SHORT_SECONDS, - ) - except DoesNotExist: + response, http_status, error_code = get_splits_response(dataset_name) + if http_status == HTTPStatus.OK: + return get_json_ok_response(response) + else: + return get_json_error_response(response, http_status, error_code) + except DoesNotExist as e: @@ -33,5 +39 @@ async def splits_endpoint_next(request: Request) -> Response: - return get_response( - Status500Error("The list of splits is not ready yet. Please retry later.").as_response(), - 500, - MAX_AGE_SHORT_SECONDS, - ) + raise SplitsResponseNotReadyError("The list of splits is not ready yet. Please retry later.") from e @@ -39,3 +41,5 @@ async def splits_endpoint_next(request: Request) -> Response: - return get_response(Status400Error("Not found.").as_response(), 400, MAX_AGE_SHORT_SECONDS) - except Exception as err: - return get_response(Status500Error("Unexpected error.", err).as_response(), 500, MAX_AGE_SHORT_SECONDS) + raise SplitsResponseNotFoundError("Not found.") from e + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception: + return get_json_api_error_response(UnexpectedError("Unexpected error.")) diff --git a/services/api/src/api/routes/valid.py b/services/api/src/api/routes/valid.py index 1b3b4b83..8353a185 100644 --- a/services/api/src/api/routes/valid.py +++ b/services/api/src/api/routes/valid.py @@ -8 +7,0 @@ from libcache.cache import ( -from libutils.exceptions import Status400Error, Status500Error, StatusError @@ -12,2 +11,8 @@ from starlette.responses import Response -from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS -from api.routes._utils import get_response +from api.utils import ( + ApiCustomError, + MissingRequiredParameterError, + UnexpectedError, + are_valid_parameters, + get_json_api_error_response, + get_json_ok_response, +) @@ -19,6 +24,9 @@ async def valid_datasets_endpoint(_: Request) -> Response: - logger.info("/valid") - content = { - "valid": get_valid_or_stale_dataset_names(), - "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), - } - return get_response(content, 200, MAX_AGE_LONG_SECONDS) + try: + logger.info("/valid") + content = { + "valid": get_valid_or_stale_dataset_names(), + "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), + } + return get_json_ok_response(content) + except Exception: + return get_json_api_error_response(UnexpectedError("Unexpected error.")) @@ -31,11 +39,10 @@ async def is_valid_endpoint(request: Request) -> Response: - try: - if not isinstance(dataset_name, str): - raise Status400Error("Parameter 'dataset' is required") - content = { - "valid": is_dataset_name_valid_or_stale(dataset_name), - } - return get_response(content, 200, MAX_AGE_LONG_SECONDS) - except StatusError as err: - return get_response(err.as_content(), err.status_code, MAX_AGE_SHORT_SECONDS) - except Exception as err: - return get_response(Status500Error("Unexpected error.", err).as_content(), 500, MAX_AGE_SHORT_SECONDS) + if not are_valid_parameters([dataset_name]): + raise MissingRequiredParameterError("Parameter 'dataset' is required") + content = { + "valid": is_dataset_name_valid_or_stale(dataset_name), + } + return get_json_ok_response(content) + except ApiCustomError as e: + return get_json_api_error_response(e) + except Exception: + return get_json_api_error_response(UnexpectedError("Unexpected error.")) diff --git a/services/api/src/api/routes/webhook.py b/services/api/src/api/routes/webhook.py index 61fdccc2..7b2d6d75 100644 --- a/services/api/src/api/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -15 +15 @@ from starlette.responses import Response -from api.routes._utils import get_response +from api.utils import are_valid_parameters, get_response @@ -48,0 +49,2 @@ def get_dataset_name(id: Optional[str]) -> Optional[str]: + if not are_valid_parameters([dataset_name]): + return None diff --git a/services/api/src/api/utils.py b/services/api/src/api/utils.py new file mode 100644 index 00000000..598928c2 --- /dev/null +++ b/services/api/src/api/utils.py @@ -0,0 +1,114 @@ +from http import HTTPStatus +from typing import Any, List, Literal, Optional + +from libutils.exceptions import CustomError +from libutils.utils import orjson_dumps +from starlette.responses import JSONResponse, Response + +from api.config import MAX_AGE_LONG_SECONDS, MAX_AGE_SHORT_SECONDS + +ApiErrorCode = Literal[ + "MissingRequiredParameter", + "SplitsResponseNotReady", + "FirstRowsResponseNotReady", + "SplitsResponseNotFound", + "FirstRowsResponseNotFound", + "UnexpectedError", +] + + +class ApiCustomError(CustomError): + """Base class for exceptions in this module.""" + + def __init__( + self, + message: str, + status_code: HTTPStatus, + code: ApiErrorCode, + cause: Optional[BaseException] = None, + disclose_cause: bool = False, + ): + super().__init__(message, status_code, str(code), cause, disclose_cause) + + +class MissingRequiredParameterError(ApiCustomError): + """Raised when a required parameter is missing.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.UNPROCESSABLE_ENTITY, "MissingRequiredParameter") + + +class SplitsResponseNotReadyError(ApiCustomError): + """Raised when the /splits response has not been processed yet.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "SplitsResponseNotReady") + + +class FirstRowsResponseNotReadyError(ApiCustomError): + """Raised when the /first-rows response has not been processed yet.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "FirstRowsResponseNotReady") + + +class FirstRowsResponseNotFoundError(ApiCustomError): + """Raised when the response for /first-rows has not been found.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.NOT_FOUND, "FirstRowsResponseNotFound") + + +class SplitsResponseNotFoundError(ApiCustomError): + """Raised when the response for /splits has not been found.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.NOT_FOUND, "SplitsResponseNotFound") + + +class UnexpectedError(ApiCustomError): + """Raised when the response for the split has not been found.""" + + def __init__(self, message: str): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "UnexpectedError") + + +class OrjsonResponse(JSONResponse): + def render(self, content: Any) -> bytes: + return orjson_dumps(content) + + +def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Response: + headers = {"Cache-Control": f"max-age={max_age}"} if max_age > 0 else {"Cache-Control": "no-store"} + return OrjsonResponse(content, status_code=status_code, headers=headers) + + +def get_json_response( + content: Any, status_code: HTTPStatus = HTTPStatus.OK, max_age: int = 0, error_code: Optional[str] = None +) -> Response: + headers = {"Cache-Control": f"max-age={max_age}" if max_age > 0 else "no-store"} + if error_code is not None: + headers["X-Error-Code"] = error_code + return OrjsonResponse(content, status_code=status_code.value, headers=headers) + + +def get_json_ok_response(content: Any) -> Response: + return get_json_response(content, max_age=MAX_AGE_LONG_SECONDS) + + +def get_json_error_response( + content: Any, status_code: HTTPStatus = HTTPStatus.OK, error_code: Optional[str] = None +) -> Response: + return get_json_response(content, status_code=status_code, max_age=MAX_AGE_SHORT_SECONDS, error_code=error_code) + + +def get_json_api_error_response(error: ApiCustomError) -> Response: + return get_json_error_response(error.as_response(), error.status_code, error.code) + + +def is_non_empty_string(string: Any) -> bool: + return isinstance(string, str) and bool(string and string.strip()) + + +def are_valid_parameters(parameters: List[Any]) -> bool: + return all(is_non_empty_string(s) for s in parameters) diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 35c8b93a..b8f536c1 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -0,0 +1,2 @@ +from http import HTTPStatus + @@ -10 +11,0 @@ from libcache.simple_cache import ( - HTTPStatus, @@ -77 +78 @@ def test_get_is_valid(client: TestClient) -> None: - assert response.status_code == 400 + assert response.status_code == 422 @@ -148,0 +150,22 @@ def test_get_splits(client: TestClient) -> None: +def test_get_splits_next(client: TestClient) -> None: + # missing parameter + response = client.get("/splits-next") + assert response.status_code == 422 + # empty parameter + response = client.get("/splits-next?dataset=") + assert response.status_code == 422 + + +def test_get_first_rows(client: TestClient) -> None: + # missing parameter + response = client.get("/first-rows") + assert response.status_code == 422 + response = client.get("/first-rows?dataset=a") + assert response.status_code == 422 + response = client.get("/first-rows?dataset=a&config=b") + assert response.status_code == 422 + # empty parameter + response = client.get("/first-rows?dataset=a&config=b&split=") + assert response.status_code == 422 + + diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index a85e5c8b..f68ec384 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -822,2 +822,2 @@ name = "huggingface-hub" -version = "0.7.0" -description = "Client library to download and publish models on the huggingface.co hub" +version = "0.8.1" +description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub" @@ -837,6 +836,0 @@ typing-extensions = ">=3.7.4.3" -all = ["pytest", "datasets", "soundfile", "black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -dev = ["pytest", "datasets", "soundfile", "black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -fastai = ["toml", "fastai (>=2.4)", "fastcore (>=1.3.27)"] -quality = ["black (>=22.0,<23.0)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -tensorflow = ["tensorflow", "pydot", "graphviz"] -testing = ["pytest", "datasets", "soundfile"] @@ -843,0 +838,6 @@ torch = ["torch"] +testing = ["soundfile", "datasets", "pytest-cov", "pytest"] +tensorflow = ["graphviz", "pydot", "tensorflow"] +quality = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)"] +fastai = ["fastcore (>=1.3.27)", "fastai (>=2.4)", "toml"] +dev = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] +all = ["flake8 (>=3.8.3)", "isort (>=5.5.4)", "black (>=22.0,<23.0)", "soundfile", "datasets", "pytest-cov", "pytest"] @@ -968 +968 @@ name = "libcache" -version = "0.1.14" +version = "0.1.23" @@ -982 +982 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl" @@ -1037 +1037 @@ name = "libutils" -version = "0.1.5" +version = "0.1.11" @@ -1050 +1050 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl" @@ -2532 +2532 @@ python-versions = "3.9.6" -content-hash = "98bda989cbdc2c286d9519efcd519a96853892e08ac038db846adcd242efb1b1" +content-hash = "c4a829aac4358fdfc3dfb86caec17625ea8f251d23ac2549d304a0848447531f" @@ -3288,4 +3288 @@ httplib2 = [ -huggingface-hub = [ - {file = "huggingface_hub-0.7.0-py3-none-any.whl", hash = "sha256:fd448fd0b738d803411c79bdf9f12f0ba171fecd24a59edf88c1391b473bc2c0"}, - {file = "huggingface_hub-0.7.0.tar.gz", hash = "sha256:8154dc2fad84b32a4bca18372a647d9381ed8550a80b11050758357b8fcea639"}, -] +huggingface-hub = [] @@ -3332 +3329 @@ libcache = [ - {file = "libcache-0.1.14-py3-none-any.whl", hash = "sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5"}, + {file = "libcache-0.1.23-py3-none-any.whl", hash = "sha256:42975f96c0d1b68bd5f46ce4aa6e42b104d2de433388bb9a2bb4f952a30e1beb"}, @@ -3351 +3348 @@ libutils = [ - {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, + {file = "libutils-0.1.11-py3-none-any.whl", hash = "sha256:fba2ca7384164af6b3395bfd122b9b434ccceb337bac3582b5660b24fcecf93c"}, diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 9a77ea5e..3ac114b2 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -18 +18 @@ kss = "^2.6.0" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.23-py3-none-any.whl", develop = false } @@ -20 +20 @@ libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", -libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.11-py3-none-any.whl", develop = false } diff --git a/services/worker/src/worker/models/asset.py b/services/worker/src/worker/asset.py similarity index 100% rename from services/worker/src/worker/models/asset.py rename to services/worker/src/worker/asset.py diff --git a/services/worker/src/worker/models/__init__.py b/services/worker/src/worker/deprecated/__init__.py similarity index 100% rename from services/worker/src/worker/models/__init__.py rename to services/worker/src/worker/deprecated/__init__.py diff --git a/services/worker/src/worker/deprecated/main.py b/services/worker/src/worker/deprecated/main.py new file mode 100644 index 00000000..7bb100ac --- /dev/null +++ b/services/worker/src/worker/deprecated/main.py @@ -0,0 +1,99 @@ +import logging + +from libqueue.queue import ( + EmptyQueue, + add_dataset_job, + add_split_job, + finish_dataset_job, + finish_split_job, + get_dataset_job, + get_split_job, +) +from libutils.exceptions import Status500Error, StatusError + +from worker.config import ( + HF_TOKEN, + MAX_JOB_RETRIES, + MAX_JOBS_PER_DATASET, + MAX_SIZE_FALLBACK, + ROWS_MAX_BYTES, + ROWS_MAX_NUMBER, + ROWS_MIN_NUMBER, +) +from worker.deprecated.refresh import refresh_dataset, refresh_split + + +def process_next_dataset_job() -> bool: + logger = logging.getLogger("datasets_server.worker") + logger.debug("try to process a dataset job") + + try: + job_id, dataset_name, retries = get_dataset_job(MAX_JOBS_PER_DATASET) + logger.debug(f"job assigned: {job_id} for dataset={dataset_name}") + except EmptyQueue: + logger.debug("no job in the queue") + return False + + success = False + retry = False + try: + logger.info(f"compute dataset={dataset_name}") + refresh_dataset(dataset_name=dataset_name, hf_token=HF_TOKEN) + success = True + except StatusError as e: + if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES: + retry = True + # in any case: don't raise the StatusError, and go to finally + finally: + finish_dataset_job(job_id, success=success) + result = "success" if success else "error" + logger.debug(f"job finished with {result}: {job_id} for dataset={dataset_name}") + if retry: + add_dataset_job(dataset_name, retries=retries + 1) + logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset_name}") + return True + + +def process_next_split_job() -> bool: + logger = logging.getLogger("datasets_server.worker") + logger.debug("try to process a split job") + + try: + job_id, dataset_name, config_name, split_name, retries = get_split_job(MAX_JOBS_PER_DATASET) + logger.debug(f"job assigned: {job_id} for dataset={dataset_name} config={config_name} split={split_name}") + except EmptyQueue: + logger.debug("no job in the queue") + return False + + success = False + retry = False + try: + logger.info(f"compute dataset={dataset_name} config={config_name} split={split_name}") + refresh_split( + dataset_name=dataset_name, + config_name=config_name, + split_name=split_name, + hf_token=HF_TOKEN, + max_size_fallback=MAX_SIZE_FALLBACK, + rows_max_bytes=ROWS_MAX_BYTES, + rows_max_number=ROWS_MAX_NUMBER, + rows_min_number=ROWS_MIN_NUMBER, + ) + success = True + except StatusError as e: + if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES: + retry = True + # in any case: don't raise the StatusError, and go to finally + finally: + finish_split_job(job_id, success=success) + result = "success" if success else "error" + logger.debug( + f"job finished with {result}: {job_id} for dataset={dataset_name} config={config_name} split={split_name}" + ) + if retry: + add_split_job(dataset_name, config_name, split_name, retries=retries + 1) + logger.debug( + f"job re-enqueued (retries: {retries}) for" + f" dataset={dataset_name} config={config_name} split={split_name}" + ) + return True diff --git a/services/worker/tests/models/__init__.py b/services/worker/src/worker/deprecated/models/__init__.py similarity index 100% rename from services/worker/tests/models/__init__.py rename to services/worker/src/worker/deprecated/models/__init__.py diff --git a/services/worker/src/worker/deprecated/models/asset.py b/services/worker/src/worker/deprecated/models/asset.py new file mode 100644 index 00000000..e512d514 --- /dev/null +++ b/services/worker/src/worker/deprecated/models/asset.py @@ -0,0 +1,72 @@ +import logging +import os +from typing import List, Tuple, TypedDict + +import soundfile # type:ignore +from libcache.asset import init_assets_dir +from numpy import ndarray # type:ignore +from PIL import Image # type: ignore +from pydub import AudioSegment # type:ignore + +from worker.config import ASSETS_DIRECTORY + +logger = logging.getLogger(__name__) + +DATASET_SEPARATOR = "--" +ASSET_DIR_MODE = 0o755 + + +def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column: str) -> Tuple[str, str]: + assets_dir = init_assets_dir(ASSETS_DIRECTORY) + dir_path = os.path.join(assets_dir, dataset, DATASET_SEPARATOR, config, split, str(row_idx), column) + url_dir_path = f"{dataset}/{DATASET_SEPARATOR}/{config}/{split}/{row_idx}/{column}" + os.makedirs(dir_path, ASSET_DIR_MODE, exist_ok=True) + return dir_path, url_dir_path + + +def create_image_file( + dataset: str, + config: str, + split: str, + row_idx: int, + column: str, + filename: str, + image: Image.Image, + assets_base_url: str, +) -> str: + dir_path, url_dir_path = create_asset_dir(dataset, config, split, row_idx, column) + file_path = os.path.join(dir_path, filename) + image.save(file_path) + return f"{assets_base_url}/{url_dir_path}/{filename}" + + +class AudioSource(TypedDict): + src: str + type: str + + +def create_audio_files( + dataset: str, + config: str, + split: str, + row_idx: int, + column: str, + array: ndarray, + sampling_rate: int, + assets_base_url: str, +) -> List[AudioSource]: + wav_filename = "audio.wav" + mp3_filename = "audio.mp3" + dir_path, url_dir_path = create_asset_dir(dataset, config, split, row_idx, column) + wav_file_path = os.path.join(dir_path, wav_filename) + mp3_file_path = os.path.join(dir_path, mp3_filename) + soundfile.write(wav_file_path, array, sampling_rate) + segment = AudioSegment.from_wav(wav_file_path) + segment.export(mp3_file_path, format="mp3") + return [ + {"src": f"{assets_base_url}/{url_dir_path}/{mp3_filename}", "type": "audio/mpeg"}, + {"src": f"{assets_base_url}/{url_dir_path}/{wav_filename}", "type": "audio/wav"}, + ] + + +# TODO: add a function to flush all the assets of a dataset diff --git a/services/worker/src/worker/models/column/__init__.py b/services/worker/src/worker/deprecated/models/column/__init__.py similarity index 74% rename from services/worker/src/worker/models/column/__init__.py rename to services/worker/src/worker/deprecated/models/column/__init__.py index 5b95107c..c9a4ce45 100644 --- a/services/worker/src/worker/models/column/__init__.py +++ b/services/worker/src/worker/deprecated/models/column/__init__.py @@ -8,4 +8,4 @@ from worker.config import ROWS_MAX_NUMBER -from worker.models.column.audio import AudioColumn -from worker.models.column.bool import BoolColumn -from worker.models.column.class_label import ClassLabelColumn -from worker.models.column.default import ( +from worker.deprecated.models.column.audio import AudioColumn +from worker.deprecated.models.column.bool import BoolColumn +from worker.deprecated.models.column.class_label import ClassLabelColumn +from worker.deprecated.models.column.default import ( @@ -19,9 +19,9 @@ from worker.models.column.default import ( -from worker.models.column.float import FloatColumn -from worker.models.column.image import ImageColumn -from worker.models.column.image_array2d import ImageArray2DColumn -from worker.models.column.image_array3d import ImageArray3DColumn -from worker.models.column.image_url import ImageUrlColumn -from worker.models.column.int import IntColumn -from worker.models.column.string import StringColumn -from worker.models.column.timestamp import TimestampColumn -from worker.models.row import Row +from worker.deprecated.models.column.float import FloatColumn +from worker.deprecated.models.column.image import ImageColumn +from worker.deprecated.models.column.image_array2d import ImageArray2DColumn +from worker.deprecated.models.column.image_array3d import ImageArray3DColumn +from worker.deprecated.models.column.image_url import ImageUrlColumn +from worker.deprecated.models.column.int import IntColumn +from worker.deprecated.models.column.string import StringColumn +from worker.deprecated.models.column.timestamp import TimestampColumn +from worker.deprecated.models.row import Row diff --git a/services/worker/src/worker/models/column/audio.py b/services/worker/src/worker/deprecated/models/column/audio.py similarity index 94% rename from services/worker/src/worker/models/column/audio.py rename to services/worker/src/worker/deprecated/models/column/audio.py index 6ec04637..f5aaddde 100644 --- a/services/worker/src/worker/models/column/audio.py +++ b/services/worker/src/worker/deprecated/models/column/audio.py @@ -6,2 +6,2 @@ from numpy import ndarray # type:ignore -from worker.models.asset import create_audio_files -from worker.models.column.default import ( +from worker.deprecated.models.asset import create_audio_files +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/bool.py b/services/worker/src/worker/deprecated/models/column/bool.py similarity index 95% rename from services/worker/src/worker/models/column/bool.py rename to services/worker/src/worker/deprecated/models/column/bool.py index c4891453..dda36c3f 100644 --- a/services/worker/src/worker/models/column/bool.py +++ b/services/worker/src/worker/deprecated/models/column/bool.py @@ -3 +3 @@ from typing import Any, List -from worker.models.column.default import ( +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/class_label.py b/services/worker/src/worker/deprecated/models/column/class_label.py similarity index 90% rename from services/worker/src/worker/models/column/class_label.py rename to services/worker/src/worker/deprecated/models/column/class_label.py index ebfb2402..4041425a 100644 --- a/services/worker/src/worker/models/column/class_label.py +++ b/services/worker/src/worker/deprecated/models/column/class_label.py @@ -6 +6,6 @@ from libutils.types import ClassLabelColumnType, ColumnDict -from worker.models.column.default import Cell, CellTypeError, Column, ColumnTypeError +from worker.deprecated.models.column.default import ( + Cell, + CellTypeError, + Column, + ColumnTypeError, +) diff --git a/services/worker/src/worker/models/column/default.py b/services/worker/src/worker/deprecated/models/column/default.py similarity index 100% rename from services/worker/src/worker/models/column/default.py rename to services/worker/src/worker/deprecated/models/column/default.py diff --git a/services/worker/src/worker/models/column/float.py b/services/worker/src/worker/deprecated/models/column/float.py similarity index 95% rename from services/worker/src/worker/models/column/float.py rename to services/worker/src/worker/deprecated/models/column/float.py index 66d2071a..e64fb39e 100644 --- a/services/worker/src/worker/models/column/float.py +++ b/services/worker/src/worker/deprecated/models/column/float.py @@ -3 +3 @@ from typing import Any, List -from worker.models.column.default import ( +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/image.py b/services/worker/src/worker/deprecated/models/column/image.py similarity index 94% rename from services/worker/src/worker/models/column/image.py rename to services/worker/src/worker/deprecated/models/column/image.py index c0bf7402..3cab7a75 100644 --- a/services/worker/src/worker/models/column/image.py +++ b/services/worker/src/worker/deprecated/models/column/image.py @@ -6,2 +6,2 @@ from PIL import Image as PILImage # type: ignore -from worker.models.asset import create_image_file -from worker.models.column.default import ( +from worker.deprecated.models.asset import create_image_file +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/image_array2d.py b/services/worker/src/worker/deprecated/models/column/image_array2d.py similarity index 94% rename from services/worker/src/worker/models/column/image_array2d.py rename to services/worker/src/worker/deprecated/models/column/image_array2d.py index 5529cfff..db33a4c7 100644 --- a/services/worker/src/worker/models/column/image_array2d.py +++ b/services/worker/src/worker/deprecated/models/column/image_array2d.py @@ -7,2 +7,2 @@ from PIL import Image # type: ignore -from worker.models.asset import create_image_file -from worker.models.column.default import ( +from worker.deprecated.models.asset import create_image_file +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/image_array3d.py b/services/worker/src/worker/deprecated/models/column/image_array3d.py similarity index 94% rename from services/worker/src/worker/models/column/image_array3d.py rename to services/worker/src/worker/deprecated/models/column/image_array3d.py index a547d10f..e4ec9a25 100644 --- a/services/worker/src/worker/models/column/image_array3d.py +++ b/services/worker/src/worker/deprecated/models/column/image_array3d.py @@ -7,2 +7,2 @@ from PIL import Image # type: ignore -from worker.models.asset import create_image_file -from worker.models.column.default import ( +from worker.deprecated.models.asset import create_image_file +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/image_url.py b/services/worker/src/worker/deprecated/models/column/image_url.py similarity index 96% rename from services/worker/src/worker/models/column/image_url.py rename to services/worker/src/worker/deprecated/models/column/image_url.py index db0860bf..1f81a98d 100644 --- a/services/worker/src/worker/models/column/image_url.py +++ b/services/worker/src/worker/deprecated/models/column/image_url.py @@ -3 +3 @@ from typing import Any, List -from worker.models.column.default import ( +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/int.py b/services/worker/src/worker/deprecated/models/column/int.py similarity index 96% rename from services/worker/src/worker/models/column/int.py rename to services/worker/src/worker/deprecated/models/column/int.py index 92cd4e4f..ab7c51ce 100644 --- a/services/worker/src/worker/models/column/int.py +++ b/services/worker/src/worker/deprecated/models/column/int.py @@ -3 +3 @@ from typing import Any, List -from worker.models.column.default import ( +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/string.py b/services/worker/src/worker/deprecated/models/column/string.py similarity index 95% rename from services/worker/src/worker/models/column/string.py rename to services/worker/src/worker/deprecated/models/column/string.py index 8c50dc2f..e1364298 100644 --- a/services/worker/src/worker/models/column/string.py +++ b/services/worker/src/worker/deprecated/models/column/string.py @@ -3 +3 @@ from typing import Any, List -from worker.models.column.default import ( +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/models/column/timestamp.py b/services/worker/src/worker/deprecated/models/column/timestamp.py similarity index 98% rename from services/worker/src/worker/models/column/timestamp.py rename to services/worker/src/worker/deprecated/models/column/timestamp.py index 87682906..7df3b0e2 100644 --- a/services/worker/src/worker/models/column/timestamp.py +++ b/services/worker/src/worker/deprecated/models/column/timestamp.py @@ -8 +8 @@ from libutils.types import ColumnDict, TimestampColumnType, TimestampUnit -from worker.models.column.default import ( +from worker.deprecated.models.column.default import ( diff --git a/services/worker/src/worker/deprecated/models/dataset.py b/services/worker/src/worker/deprecated/models/dataset.py new file mode 100644 index 00000000..0d1f660c --- /dev/null +++ b/services/worker/src/worker/deprecated/models/dataset.py @@ -0,0 +1,16 @@ +import logging +from typing import List, Optional + +from datasets import get_dataset_config_names, get_dataset_split_names +from libutils.types import SplitFullName + +logger = logging.getLogger(__name__) + + +def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]: + logger.info(f"get dataset '{dataset_name}' split full names") + return [ + {"dataset_name": dataset_name, "config_name": config_name, "split_name": split_name} + for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token) + for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token) + ] diff --git a/services/worker/src/worker/models/info.py b/services/worker/src/worker/deprecated/models/info.py similarity index 100% rename from services/worker/src/worker/models/info.py rename to services/worker/src/worker/deprecated/models/info.py diff --git a/services/worker/src/worker/models/py.typed b/services/worker/src/worker/deprecated/models/py.typed similarity index 100% rename from services/worker/src/worker/models/py.typed rename to services/worker/src/worker/deprecated/models/py.typed diff --git a/services/worker/src/worker/models/row.py b/services/worker/src/worker/deprecated/models/row.py similarity index 97% rename from services/worker/src/worker/models/row.py rename to services/worker/src/worker/deprecated/models/row.py index 4c3f4c6a..d5fe3a29 100644 --- a/services/worker/src/worker/models/row.py +++ b/services/worker/src/worker/deprecated/models/row.py @@ -6 +5,0 @@ from datasets import Dataset, IterableDataset, load_dataset -from libutils.utils import retry @@ -8,0 +8 @@ from worker.constants import DEFAULT_ROWS_MAX_NUMBER +from worker.utils import retry diff --git a/services/worker/src/worker/models/split.py b/services/worker/src/worker/deprecated/models/split.py similarity index 97% rename from services/worker/src/worker/models/split.py rename to services/worker/src/worker/deprecated/models/split.py index fa023b5b..010c506c 100644 --- a/services/worker/src/worker/models/split.py +++ b/services/worker/src/worker/deprecated/models/split.py @@ -10,3 +10,3 @@ from worker.config import MIN_CELL_BYTES -from worker.models.column import CellTypeError, Column, get_columns -from worker.models.info import get_info -from worker.models.row import Row, get_rows +from worker.deprecated.models.column import CellTypeError, Column, get_columns +from worker.deprecated.models.info import get_info +from worker.deprecated.models.row import Row, get_rows diff --git a/services/worker/src/worker/deprecated/refresh.py b/services/worker/src/worker/deprecated/refresh.py new file mode 100644 index 00000000..3ea92a6d --- /dev/null +++ b/services/worker/src/worker/deprecated/refresh.py @@ -0,0 +1,71 @@ +import logging +from typing import Optional + +from libcache.cache import ( + upsert_dataset, + upsert_dataset_error, + upsert_split, + upsert_split_error, +) +from libqueue.queue import add_split_job +from libutils.exceptions import Status400Error, Status500Error, StatusError + +from worker.deprecated.models.dataset import get_dataset_split_full_names +from worker.deprecated.models.split import get_split + +logger = logging.getLogger(__name__) + + +def refresh_dataset(dataset_name: str, hf_token: Optional[str] = None) -> None: + try: + try: + split_full_names = get_dataset_split_full_names(dataset_name, hf_token) + except Exception as err: + raise Status400Error("Cannot get the split names for the dataset.", err) from err + upsert_dataset(dataset_name, split_full_names) + logger.debug(f"dataset={dataset_name} is valid, cache updated") + for split_full_name in split_full_names: + add_split_job( + split_full_name["dataset_name"], split_full_name["config_name"], split_full_name["split_name"] + ) + except StatusError as err: + upsert_dataset_error(dataset_name, err) + logger.debug(f"dataset={dataset_name} had error, cache updated") + raise + except Exception as err: + upsert_dataset_error(dataset_name, Status500Error(str(err))) + logger.debug(f"dataset={dataset_name} had error, cache updated") + raise + + +def refresh_split( + dataset_name: str, + config_name: str, + split_name: str, + hf_token: Optional[str] = None, + max_size_fallback: Optional[int] = None, + rows_max_bytes: Optional[int] = None, + rows_max_number: Optional[int] = None, + rows_min_number: Optional[int] = None, +): + try: + split = get_split( + dataset_name, + config_name, + split_name, + hf_token=hf_token, + max_size_fallback=max_size_fallback, + rows_max_bytes=rows_max_bytes, + rows_max_number=rows_max_number, + rows_min_number=rows_min_number, + ) + upsert_split(dataset_name, config_name, split_name, split) + logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} is valid, cache updated") + except StatusError as err: + upsert_split_error(dataset_name, config_name, split_name, err) + logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated") + raise + except Exception as err: + upsert_split_error(dataset_name, config_name, split_name, Status500Error(str(err))) + logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated") + raise diff --git a/services/worker/src/worker/models/features.py b/services/worker/src/worker/features.py similarity index 98% rename from services/worker/src/worker/models/features.py rename to services/worker/src/worker/features.py index e9dbbaeb..e420bbba 100644 --- a/services/worker/src/worker/models/features.py +++ b/services/worker/src/worker/features.py @@ -19 +19 @@ from PIL import Image as PILImage # type: ignore -from worker.models.asset import create_audio_files, create_image_file +from worker.asset import create_audio_files, create_image_file diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index a4c4df58..b97f6237 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -3,0 +4 @@ import time +from http import HTTPStatus @@ -6,2 +7 @@ from libcache.asset import show_assets_dir -from libcache.cache import connect_to_cache -from libcache.simple_cache import HTTPStatus +from libcache.simple_cache import connect_to_cache @@ -10 +9,0 @@ from libqueue.queue import ( - add_dataset_job, @@ -12 +10,0 @@ from libqueue.queue import ( - add_split_job, @@ -15 +12,0 @@ from libqueue.queue import ( - finish_dataset_job, @@ -17 +13,0 @@ from libqueue.queue import ( - finish_split_job, @@ -19 +14,0 @@ from libqueue.queue import ( - get_dataset_job, @@ -21 +15,0 @@ from libqueue.queue import ( - get_split_job, @@ -24 +17,0 @@ from libqueue.queue import ( -from libutils.exceptions import Status500Error, StatusError @@ -47,82 +40,2 @@ from worker.config import ( -from worker.refresh import ( - refresh_dataset, - refresh_first_rows, - refresh_split, - refresh_splits, -) - - -def process_next_dataset_job() -> bool: - logger = logging.getLogger("datasets_server.worker") - logger.debug("try to process a dataset job") - - try: - job_id, dataset_name, retries = get_dataset_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset_name}") - except EmptyQueue: - logger.debug("no job in the queue") - return False - - success = False - retry = False - try: - logger.info(f"compute dataset={dataset_name}") - refresh_dataset(dataset_name=dataset_name, hf_token=HF_TOKEN) - success = True - except StatusError as e: - if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES: - retry = True - # in any case: don't raise the StatusError, and go to finally - finally: - finish_dataset_job(job_id, success=success) - result = "success" if success else "error" - logger.debug(f"job finished with {result}: {job_id} for dataset={dataset_name}") - if retry: - add_dataset_job(dataset_name, retries=retries + 1) - logger.debug(f"job re-enqueued (retries: {retries}) for dataset={dataset_name}") - return True - - -def process_next_split_job() -> bool: - logger = logging.getLogger("datasets_server.worker") - logger.debug("try to process a split job") - - try: - job_id, dataset_name, config_name, split_name, retries = get_split_job(MAX_JOBS_PER_DATASET) - logger.debug(f"job assigned: {job_id} for dataset={dataset_name} config={config_name} split={split_name}") - except EmptyQueue: - logger.debug("no job in the queue") - return False - - success = False - retry = False - try: - logger.info(f"compute dataset={dataset_name} config={config_name} split={split_name}") - refresh_split( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - hf_token=HF_TOKEN, - max_size_fallback=MAX_SIZE_FALLBACK, - rows_max_bytes=ROWS_MAX_BYTES, - rows_max_number=ROWS_MAX_NUMBER, - rows_min_number=ROWS_MIN_NUMBER, - ) - success = True - except StatusError as e: - if isinstance(e, Status500Error) and retries < MAX_JOB_RETRIES: - retry = True - # in any case: don't raise the StatusError, and go to finally - finally: - finish_split_job(job_id, success=success) - result = "success" if success else "error" - logger.debug( - f"job finished with {result}: {job_id} for dataset={dataset_name} config={config_name} split={split_name}" - ) - if retry: - add_split_job(dataset_name, config_name, split_name, retries=retries + 1) - logger.debug( - f"job re-enqueued (retries: {retries}) for" - f" dataset={dataset_name} config={config_name} split={split_name}" - ) - return True +from worker.deprecated.main import process_next_dataset_job, process_next_split_job +from worker.refresh import refresh_first_rows, refresh_splits @@ -146 +59 @@ def process_next_splits_job() -> bool: - http_status = refresh_splits(dataset_name=dataset_name, hf_token=HF_TOKEN) + http_status, can_retry = refresh_splits(dataset_name=dataset_name, hf_token=HF_TOKEN) @@ -148 +61 @@ def process_next_splits_job() -> bool: - if http_status == HTTPStatus.INTERNAL_SERVER_ERROR and retries < MAX_JOB_RETRIES: + if can_retry and retries < MAX_JOB_RETRIES: @@ -175 +88 @@ def process_next_first_rows_job() -> bool: - http_status = refresh_first_rows( + http_status, can_retry = refresh_first_rows( @@ -187 +100 @@ def process_next_first_rows_job() -> bool: - if http_status == HTTPStatus.INTERNAL_SERVER_ERROR and retries < MAX_JOB_RETRIES: + if can_retry and retries < MAX_JOB_RETRIES: diff --git a/services/worker/src/worker/models/dataset.py b/services/worker/src/worker/models/dataset.py deleted file mode 100644 index 572c08ca..00000000 --- a/services/worker/src/worker/models/dataset.py +++ /dev/null @@ -1,21 +0,0 @@ -import logging -from typing import List, Optional - -from datasets import get_dataset_config_names, get_dataset_split_names -from libutils.exceptions import Status400Error -from libutils.types import SplitFullName - -logger = logging.getLogger(__name__) - - -def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]: - logger.info(f"get dataset '{dataset_name}' split full names") - - try: - return [ - {"dataset_name": dataset_name, "config_name": config_name, "split_name": split_name} - for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token) - for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token) - ] - except Exception as err: - raise Status400Error("Cannot get the split names for the dataset.", err) from err diff --git a/services/worker/src/worker/models/first_rows.py b/services/worker/src/worker/models/first_rows.py deleted file mode 100644 index 6c31c970..00000000 --- a/services/worker/src/worker/models/first_rows.py +++ /dev/null @@ -1,238 +0,0 @@ -import logging -import sys -from typing import Any, Dict, List, Optional - -from datasets import Features, IterableDataset, load_dataset -from libutils.exceptions import Status400Error, Status500Error -from libutils.types import RowItem -from libutils.utils import orjson_dumps - -from worker.config import MIN_CELL_BYTES -from worker.models.features import get_cell_value -from worker.models.info import get_info -from worker.models.row import Row, get_rows - -logger = logging.getLogger(__name__) - - -def get_size_in_bytes(obj: Any): - return sys.getsizeof(orjson_dumps(obj)) - # ^^ every row is transformed here in a string, because it corresponds to - # the size the row will contribute in the JSON response to /rows endpoint. - # The size of the string is measured in bytes. - # An alternative would have been to look at the memory consumption (pympler) but it's - # less related to what matters here (size of the JSON, number of characters in the - # dataset viewer table on the hub) - - -def truncate_cell(cell: Any, min_cell_bytes: int) -> str: - return orjson_dumps(cell)[:min_cell_bytes].decode("utf8", "ignore") - - -# Mutates row_item, and returns it anyway -def truncate_row_item(row_item: RowItem) -> RowItem: - row = {} - for column_name, cell in row_item["row"].items(): - # for now: all the cells, but the smallest ones, are truncated - cell_bytes = get_size_in_bytes(cell) - if cell_bytes > MIN_CELL_BYTES: - row_item["truncated_cells"].append(column_name) - row[column_name] = truncate_cell(cell, MIN_CELL_BYTES) - else: - row[column_name] = cell - row_item["row"] = row - return row_item - - -# Mutates row_items, and returns them anyway -def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[RowItem]: - # compute the current size - rows_bytes = sum(get_size_in_bytes(row_item) for row_item in row_items) - - # Loop backwards, so that the last rows are truncated first - for row_item in reversed(row_items): - if rows_bytes < rows_max_bytes: - break - previous_size = get_size_in_bytes(row_item) - row_item = truncate_row_item(row_item) - new_size = get_size_in_bytes(row_item) - rows_bytes += new_size - previous_size - row_idx = row_item["row_idx"] - logger.debug(f"the size of the rows is now ({rows_bytes}) after truncating row idx={row_idx}") - return row_items - - -def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: int, row: Row) -> RowItem: - return { - "dataset": dataset_name, - "config": config_name, - "split": split_name, - "row_idx": row_idx, - "row": row, - "truncated_cells": [], - } - - -# in JSON, dicts do not carry any order, so we need to return a list -# -# > An object is an *unordered* collection of zero or more name/value pairs, where a name is a string and a value -# is a string, number, boolean, null, object, or array. -# > An array is an *ordered* sequence of zero or more values. -# > The terms "object" and "array" come from the conventions of JavaScript. -# from https://stackoverflow.com/a/7214312/7351594 / https://www.rfc-editor.org/rfc/rfc7159.html -def to_features_list(dataset_name: str, config_name: str, split_name: str, features: Features) -> List[Dict]: - features_dict = features.to_dict() - return [ - { - "dataset": dataset_name, - "config": config_name, - "split": split_name, - "idx": idx, - "name": name, - "type": features_dict[name], - } - for idx, name in enumerate(features) - ] - - -def create_truncated_row_items( - dataset_name: str, - config_name: str, - split_name: str, - rows: List[Row], - rows_max_bytes: Optional[int] = None, - rows_min_number: Optional[int] = None, -) -> List[RowItem]: - row_items = [] - rows_bytes = 0 - if rows_min_number is None: - rows_min_number = 0 - else: - logger.debug(f"min number of rows in the response: '{rows_min_number}'") - if rows_max_bytes is not None: - logger.debug(f"max number of bytes in the response: '{rows_max_bytes}'") - - # two restrictions must be enforced: - # - at least rows_min_number rows - # - at most rows_max_bytes bytes - # To enforce this: - # 1. first get the first rows_min_number rows - for row_idx, row in enumerate(rows[:rows_min_number]): - row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) - if rows_max_bytes is not None: - rows_bytes += get_size_in_bytes(row_item) - row_items.append(row_item) - - # 2. if the total is over the bytes limit, truncate the values, iterating backwards starting - # from the last rows, until getting under the threshold - if rows_max_bytes is not None and rows_bytes >= rows_max_bytes: - logger.debug( - f"the size of the first {rows_min_number} rows ({rows_bytes}) is above the max number of bytes" - f" ({rows_max_bytes}), they will be truncated" - ) - return truncate_row_items(row_items, rows_max_bytes) - - # 3. else: add the remaining rows until the end, or until the bytes threshold - for idx, row in enumerate(rows[rows_min_number:]): - row_idx = rows_min_number + idx - row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) - if rows_max_bytes is not None: - rows_bytes += get_size_in_bytes(row_item) - if rows_bytes >= rows_max_bytes: - logger.debug( - f"the rows in the split have been truncated to {row_idx} row(s) to keep the size" - f" ({rows_bytes}) under the limit ({rows_max_bytes})" - ) - break - row_items.append(row_item) - return row_items - - -def get_typed_rows( - dataset_name: str, config_name: str, split_name: str, rows: List[Row], features: Features, assets_base_url: str -) -> List[Row]: - return [ - { - featureName: get_cell_value( - dataset_name, - config_name, - split_name, - row_idx, - row[featureName], - featureName, - fieldType, - assets_base_url, - ) - for (featureName, fieldType) in features.items() - } - for row_idx, row in enumerate(rows) - ] - - -def get_first_rows( - dataset_name: str, - config_name: str, - split_name: str, - assets_base_url: str, - hf_token: Optional[str] = None, - max_size_fallback: Optional[int] = None, - rows_max_bytes: Optional[int] = None, - rows_max_number: Optional[int] = None, - rows_min_number: Optional[int] = None, -) -> Dict: - logger.info(f"get first-rows for dataset={dataset_name} config={config_name} split={split_name}") - - # features - info = get_info(dataset_name, config_name, hf_token) - if not info.features: - try: - # https://github.com/huggingface/datasets/blob/f5826eff9b06ab10dba1adfa52543341ef1e6009/src/datasets/iterable_dataset.py#L1255 - iterable_dataset = load_dataset( - dataset_name, - name=config_name, - split=split_name, - streaming=True, - use_auth_token=hf_token, - ) - if not isinstance(iterable_dataset, IterableDataset): - raise TypeError("load_dataset should return an IterableDataset") - iterable_dataset = iterable_dataset._resolve_features() - if not isinstance(iterable_dataset, IterableDataset): - raise TypeError("load_dataset should return an IterableDataset") - features = iterable_dataset.features - except Exception as err: - raise Status400Error("The split features (columns) cannot be extracted.", err) from err - else: - features = info.features - - # rows - fallback = ( - max_size_fallback is not None and info.size_in_bytes is not None and info.size_in_bytes < max_size_fallback - ) - - try: - rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number) - except Exception as err: - if not fallback: - raise Status400Error( - "Cannot load the dataset split (in streaming mode) to extract the first rows.", err - ) from err - try: - rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number) - except Exception as err: - raise Status400Error( - "Cannot load the dataset split (in normal download mode) to extract the first rows.", err - ) from err - - try: - typed_rows = get_typed_rows(dataset_name, config_name, split_name, rows, features, assets_base_url) - except Exception as err: - raise Status500Error("The dataset values post-processing failed. Please report the issue.", err) from err - - row_items = create_truncated_row_items( - dataset_name, config_name, split_name, typed_rows, rows_max_bytes, rows_min_number - ) - return { - "features": to_features_list(dataset_name, config_name, split_name, features), - "rows": row_items, - } diff --git a/services/worker/src/worker/refresh.py b/services/worker/src/worker/refresh.py index ffd02c7f..8bfec024 100644 --- a/services/worker/src/worker/refresh.py +++ b/services/worker/src/worker/refresh.py @@ -2 +2,2 @@ import logging -from typing import Dict, List, Optional +from http import HTTPStatus +from typing import Optional, Tuple @@ -4,6 +4,0 @@ from typing import Dict, List, Optional -from libcache.cache import ( - upsert_dataset, - upsert_dataset_error, - upsert_split, - upsert_split_error, -) @@ -11 +5,0 @@ from libcache.simple_cache import ( - HTTPStatus, @@ -17,2 +11 @@ from libcache.simple_cache import ( -from libqueue.queue import add_first_rows_job, add_split_job -from libutils.exceptions import Status400Error, Status500Error, StatusError +from libqueue.queue import add_first_rows_job @@ -20,4 +13,9 @@ from libutils.exceptions import Status400Error, Status500Error, StatusError -from worker.models.dataset import get_dataset_split_full_names -from worker.models.first_rows import get_first_rows -from worker.models.info import DatasetInfo, get_info -from worker.models.split import get_split +from worker.responses.first_rows import get_first_rows_response +from worker.responses.splits import get_splits_response +from worker.utils import ( + ConfigNotFoundError, + DatasetNotFoundError, + SplitNotFoundError, + UnexpectedError, + WorkerCustomError, +) @@ -28 +26 @@ logger = logging.getLogger(__name__) -def refresh_dataset(dataset_name: str, hf_token: Optional[str] = None) -> None: +def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> Tuple[HTTPStatus, bool]: @@ -30,84 +28,2 @@ def refresh_dataset(dataset_name: str, hf_token: Optional[str] = None) -> None: - split_full_names = get_dataset_split_full_names(dataset_name, hf_token) - upsert_dataset(dataset_name, split_full_names) - logger.debug(f"dataset={dataset_name} is valid, cache updated") - for split_full_name in split_full_names: - add_split_job( - split_full_name["dataset_name"], split_full_name["config_name"], split_full_name["split_name"] - ) - except StatusError as err: - upsert_dataset_error(dataset_name, err) - logger.debug(f"dataset={dataset_name} had error, cache updated") - raise - except Exception as err: - upsert_dataset_error(dataset_name, Status500Error(str(err))) - logger.debug(f"dataset={dataset_name} had error, cache updated") - raise - - -def refresh_split( - dataset_name: str, - config_name: str, - split_name: str, - hf_token: Optional[str] = None, - max_size_fallback: Optional[int] = None, - rows_max_bytes: Optional[int] = None, - rows_max_number: Optional[int] = None, - rows_min_number: Optional[int] = None, -): - try: - split = get_split( - dataset_name, - config_name, - split_name, - hf_token=hf_token, - max_size_fallback=max_size_fallback, - rows_max_bytes=rows_max_bytes, - rows_max_number=rows_max_number, - rows_min_number=rows_min_number, - ) - upsert_split(dataset_name, config_name, split_name, split) - logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} is valid, cache updated") - except StatusError as err: - upsert_split_error(dataset_name, config_name, split_name, err) - logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated") - raise - except Exception as err: - upsert_split_error(dataset_name, config_name, split_name, Status500Error(str(err))) - logger.debug(f"dataset={dataset_name} config={config_name} split={split_name} had error, cache updated") - raise - - -def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPStatus: - try: - split_full_names = get_dataset_split_full_names(dataset_name, hf_token) - # get the number of bytes and examples for each split - config_info: Dict[str, DatasetInfo] = {} - splits: List[Dict] = [] - for split_full_name in split_full_names: - try: - dataset = split_full_name["dataset_name"] - config = split_full_name["config_name"] - split = split_full_name["split_name"] - if config not in config_info: - config_info[config] = get_info( - dataset_name=split_full_name["dataset_name"], - config_name=split_full_name["config_name"], - hf_token=hf_token, - ) - info = config_info[config] - num_bytes = info.splits[split].num_bytes if info.splits else None - num_examples = info.splits[split].num_examples if info.splits else None - except Exception: - num_bytes = None - num_examples = None - splits.append( - { - "dataset_name": dataset, - "config_name": config, - "split_name": split, - "num_bytes": num_bytes, - "num_examples": num_examples, - } - ) - response = {"splits": splits} - upsert_splits_response(dataset_name, response, HTTPStatus.OK) + response = get_splits_response(dataset_name, hf_token) + upsert_splits_response(dataset_name, dict(response), HTTPStatus.OK) @@ -117 +33 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta - new_splits = [(s["dataset_name"], s["config_name"], s["split_name"]) for s in split_full_names] + new_splits = [(s["dataset_name"], s["config_name"], s["split_name"]) for s in response["splits"]] @@ -128,7 +44,5 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta - return HTTPStatus.OK - except Status400Error as err: - upsert_splits_response(dataset_name, dict(err.as_response()), HTTPStatus.BAD_REQUEST) - logger.debug(f"splits response for dataset={dataset_name} had BAD_REQUEST error, cache updated") - return HTTPStatus.BAD_REQUEST - except Exception as err: - err = err if isinstance(err, Status500Error) else Status500Error(str(err)) + return HTTPStatus.OK, False + except DatasetNotFoundError as err: + logger.debug(f"the dataset={dataset_name} could not be found, don't update the cache") + return err.status_code, False + except WorkerCustomError as err: @@ -138,2 +52,3 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta - HTTPStatus.INTERNAL_SERVER_ERROR, - dict(err.as_content()), + err.status_code, + err.code, + dict(err.as_response_with_cause()), @@ -141,2 +56,13 @@ def refresh_splits(dataset_name: str, hf_token: Optional[str] = None) -> HTTPSta - logger.debug(f"splits response for dataset={dataset_name} had INTERNAL_SERVER_ERROR error, cache updated") - return HTTPStatus.INTERNAL_SERVER_ERROR + logger.debug(f"splits response for dataset={dataset_name} had an error, cache updated") + return err.status_code, False + except Exception as err: + e = UnexpectedError(str(err), err) + upsert_splits_response( + dataset_name, + dict(e.as_response()), + e.status_code, + e.code, + dict(e.as_response_with_cause()), + ) + logger.debug(f"splits response for dataset={dataset_name} had a server error, cache updated") + return e.status_code, True @@ -155 +81 @@ def refresh_first_rows( -) -> HTTPStatus: +) -> Tuple[HTTPStatus, bool]: @@ -157 +83 @@ def refresh_first_rows( - response = get_first_rows( + response = get_first_rows_response( @@ -168 +94 @@ def refresh_first_rows( - upsert_first_rows_response(dataset_name, config_name, split_name, response, HTTPStatus.OK) + upsert_first_rows_response(dataset_name, config_name, split_name, dict(response), HTTPStatus.OK) @@ -170,2 +96,8 @@ def refresh_first_rows( - return HTTPStatus.OK - except Status400Error as err: + return HTTPStatus.OK, False + except (DatasetNotFoundError, ConfigNotFoundError, SplitNotFoundError) as err: + logger.debug( + f"the dataset={dataset_name}, config {config_name} or split {split_name} could not be found, don't update" + " the cache" + ) + return err.status_code, False + except WorkerCustomError as err: @@ -173 +105,7 @@ def refresh_first_rows( - dataset_name, config_name, split_name, dict(err.as_response()), HTTPStatus.BAD_REQUEST + dataset_name, + config_name, + split_name, + dict(err.as_response()), + err.status_code, + err.code, + dict(err.as_response_with_cause()), @@ -176,2 +114,2 @@ def refresh_first_rows( - f"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had BAD_REQUEST" - " error, cache updated" + f"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had an error," + " cache updated" @@ -179 +117 @@ def refresh_first_rows( - return HTTPStatus.BAD_REQUEST + return err.status_code, False @@ -181 +119 @@ def refresh_first_rows( - err = err if isinstance(err, Status500Error) else Status500Error(str(err)) + e = UnexpectedError(str(err), err) @@ -186,3 +124,4 @@ def refresh_first_rows( - dict(err.as_response()), - HTTPStatus.INTERNAL_SERVER_ERROR, - dict(err.as_content()), + dict(e.as_response()), + e.status_code, + e.code, + dict(e.as_response_with_cause()), @@ -191,2 +130,2 @@ def refresh_first_rows( - f"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had" - " INTERNAL_SERVER_ERROR error, cache updated" + f"first-rows response for dataset={dataset_name} config={config_name} split={split_name} had a server" + " error, cache updated" @@ -194 +133 @@ def refresh_first_rows( - return HTTPStatus.INTERNAL_SERVER_ERROR + return e.status_code, True diff --git a/services/worker/src/worker/responses/__init__.py b/services/worker/src/worker/responses/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/worker/src/worker/responses/first_rows.py b/services/worker/src/worker/responses/first_rows.py new file mode 100644 index 00000000..956df156 --- /dev/null +++ b/services/worker/src/worker/responses/first_rows.py @@ -0,0 +1,384 @@ +import itertools +import logging +import sys +from typing import Any, Dict, List, Optional, TypedDict + +from datasets import ( + Dataset, + Features, + IterableDataset, + get_dataset_config_info, + load_dataset, +) +from libutils.utils import orjson_dumps + +from worker.config import MIN_CELL_BYTES +from worker.constants import DEFAULT_ROWS_MAX_BYTES, DEFAULT_ROWS_MAX_NUMBER +from worker.features import get_cell_value +from worker.responses.splits import get_splits_response +from worker.utils import ( + ConfigNotFoundError, + FeaturesError, + InfoError, + NormalRowsError, + RowsPostProcessingError, + SplitNotFoundError, + StreamingRowsError, + retry, +) + +logger = logging.getLogger(__name__) + + +Row = Dict[str, Any] + + +class FeatureItem(TypedDict): + dataset: str + config: str + split: str + feature_idx: int + name: str + type: Dict[str, Any] + + +class RowItem(TypedDict): + dataset: str + config: str + split: str + row_idx: int + row: Dict[str, Any] + truncated_cells: List[str] + + +class FirstRowsResponse(TypedDict): + features: List[FeatureItem] + rows: List[RowItem] + + +@retry(logger=logger) +def get_rows( + dataset_name: str, + config_name: str, + split_name: str, + streaming: bool, + rows_max_number: int, + hf_token: Optional[str] = None, +) -> List[Row]: + dataset = load_dataset( + dataset_name, + name=config_name, + split=split_name, + streaming=streaming, + use_auth_token=hf_token, + ) + if streaming: + if not isinstance(dataset, IterableDataset): + raise TypeError("load_dataset should return an IterableDataset in streaming mode") + elif not isinstance(dataset, Dataset): + raise TypeError("load_dataset should return a Dataset in normal mode") + rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1)) + # ^^ to be able to detect if a split has exactly ROWS_MAX_NUMBER rows + if len(rows_plus_one) <= rows_max_number: + logger.debug(f"all the rows in the split have been fetched ({len(rows_plus_one)})") + else: + logger.debug(f"the rows in the split have been truncated ({rows_max_number} rows)") + return rows_plus_one[:rows_max_number] + + +def get_size_in_bytes(obj: Any): + return sys.getsizeof(orjson_dumps(obj)) + # ^^ every row is transformed here in a string, because it corresponds to + # the size the row will contribute in the JSON response to /rows endpoint. + # The size of the string is measured in bytes. + # An alternative would have been to look at the memory consumption (pympler) but it's + # less related to what matters here (size of the JSON, number of characters in the + # dataset viewer table on the hub) + + +def truncate_cell(cell: Any, min_cell_bytes: int) -> str: + return orjson_dumps(cell)[:min_cell_bytes].decode("utf8", "ignore") + + +# Mutates row_item, and returns it anyway +def truncate_row_item(row_item: RowItem) -> RowItem: + row = {} + for column_name, cell in row_item["row"].items(): + # for now: all the cells, but the smallest ones, are truncated + cell_bytes = get_size_in_bytes(cell) + if cell_bytes > MIN_CELL_BYTES: + row_item["truncated_cells"].append(column_name) + row[column_name] = truncate_cell(cell, MIN_CELL_BYTES) + else: + row[column_name] = cell + row_item["row"] = row + return row_item + + +# Mutates row_items, and returns them anyway +def truncate_row_items(row_items: List[RowItem], rows_max_bytes: int) -> List[RowItem]: + # compute the current size + rows_bytes = sum(get_size_in_bytes(row_item) for row_item in row_items) + + # Loop backwards, so that the last rows are truncated first + for row_item in reversed(row_items): + if rows_bytes < rows_max_bytes: + break + previous_size = get_size_in_bytes(row_item) + row_item = truncate_row_item(row_item) + new_size = get_size_in_bytes(row_item) + rows_bytes += new_size - previous_size + row_idx = row_item["row_idx"] + logger.debug(f"the size of the rows is now ({rows_bytes}) after truncating row idx={row_idx}") + return row_items + + +def to_row_item(dataset_name: str, config_name: str, split_name: str, row_idx: int, row: Row) -> RowItem: + return { + "dataset": dataset_name, + "config": config_name, + "split": split_name, + "row_idx": row_idx, + "row": row, + "truncated_cells": [], + } + + +def create_truncated_row_items( + dataset_name: str, + config_name: str, + split_name: str, + rows: List[Row], + rows_max_bytes: int, + rows_min_number: int, +) -> List[RowItem]: + row_items = [] + rows_bytes = 0 + + # two restrictions must be enforced: + # - at least rows_min_number rows + # - at most rows_max_bytes bytes + # To enforce this: + # 1. first get the first rows_min_number rows + for row_idx, row in enumerate(rows[:rows_min_number]): + row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) + rows_bytes += get_size_in_bytes(row_item) + row_items.append(row_item) + + # 2. if the total is over the bytes limit, truncate the values, iterating backwards starting + # from the last rows, until getting under the threshold + if rows_bytes >= rows_max_bytes: + logger.debug( + f"the size of the first {rows_min_number} rows ({rows_bytes}) is above the max number of bytes" + f" ({rows_max_bytes}), they will be truncated" + ) + return truncate_row_items(row_items, rows_max_bytes) + + # 3. else: add the remaining rows until the end, or until the bytes threshold + for idx, row in enumerate(rows[rows_min_number:]): + row_idx = rows_min_number + idx + row_item = to_row_item(dataset_name, config_name, split_name, row_idx, row) + rows_bytes += get_size_in_bytes(row_item) + if rows_bytes >= rows_max_bytes: + logger.debug( + f"the rows in the split have been truncated to {row_idx} row(s) to keep the size" + f" ({rows_bytes}) under the limit ({rows_max_bytes})" + ) + break + row_items.append(row_item) + return row_items + + +def transform_rows( + dataset_name: str, config_name: str, split_name: str, rows: List[Row], features: Features, assets_base_url: str +) -> List[Row]: + return [ + { + featureName: get_cell_value( + dataset_name, + config_name, + split_name, + row_idx, + row[featureName], + featureName, + fieldType, + assets_base_url, + ) + for (featureName, fieldType) in features.items() + } + for row_idx, row in enumerate(rows) + ] + + +# in JSON, dicts do not carry any order, so we need to return a list +# +# > An object is an *unordered* collection of zero or more name/value pairs, where a name is a string and a value +# is a string, number, boolean, null, object, or array. +# > An array is an *ordered* sequence of zero or more values. +# > The terms "object" and "array" come from the conventions of JavaScript. +# from https://stackoverflow.com/a/7214312/7351594 / https://www.rfc-editor.org/rfc/rfc7159.html +def to_features_list(dataset_name: str, config_name: str, split_name: str, features: Features) -> List[FeatureItem]: + features_dict = features.to_dict() + return [ + { + "dataset": dataset_name, + "config": config_name, + "split": split_name, + "feature_idx": idx, + "name": name, + "type": features_dict[name], + } + for idx, name in enumerate(features) + ] + + +def get_first_rows_response( + dataset_name: str, + config_name: str, + split_name: str, + assets_base_url: str, + hf_token: Optional[str] = None, + max_size_fallback: Optional[int] = None, + rows_max_bytes: Optional[int] = None, + rows_max_number: Optional[int] = None, + rows_min_number: Optional[int] = None, +) -> FirstRowsResponse: + """ + Get the response of /first-rows for one specific split of a dataset from huggingface.co. + Dataset can be private or gated if you pass an acceptable token. + Args: + dataset_name (`str`): + A namespace (user or an organization) and a repo name separated + by a `/`. + config_name (`str`): + A configuration name. + split_name (`str`): + A split name. + assets_base_url (`str`): + The base url of the assets. + hf_token (`str`, *optional*): + An authentication token (See https://huggingface.co/settings/token) + max_size_fallback (`int`, *optional*): + The maximum number of bytes of the split to fallback to normal mode if the streaming mode fails. If None, + it will not fallback to normal mode. Defaults to None. + rows_max_bytes (`int`, *optional*): + The maximum number of bytes of the response (else, the response is truncated). Defaults to 1_000_000 bytes. + rows_max_number (`int`, *optional*): + The maximum number of rows of the response. Defaults to 100. + rows_min_number (`int`, *optional*): + The minimum number of rows of the response. Defaults to 0. + Returns: + [`FirstRowsResponse`]: The list of first rows of the split. + <Tip> + Raises the following errors: + - [`~worker.exceptions.DatasetNotFoundError`] + If the repository to download from cannot be found. This may be because it doesn't exist, + or because it is set to `private` and you do not have access. + - [`~worker.exceptions.ConfigNotFoundError`] + If the config does not exist in the dataset. + - [`~worker.exceptions.SplitNotFoundError`] + If the split does not exist in the dataset. + - [`~worker.utils.InfoError`] + If the config info could not be obtained using the datasets library. + - [`~worker.utils.FeaturesError`] + If the split features could not be obtained using the datasets library. + - [`~worker.utils.StreamingRowsError`] + If the split rows could not be obtained using the datasets library in streaming mode. + - [`~worker.utils.NormalRowsError`] + If the split rows could not be obtained using the datasets library in normal mode. + - [`~worker.utils.RowsPostProcessingError`] + If the post-processing of the split rows failed, e.g. while saving the images or audio files to the assets. + </Tip> + """ + logger.info(f"get first-rows for dataset={dataset_name} config={config_name} split={split_name}") + if rows_max_bytes is None: + rows_max_bytes = DEFAULT_ROWS_MAX_BYTES + if rows_max_number is None: + rows_max_number = DEFAULT_ROWS_MAX_NUMBER + if rows_min_number is None: + rows_min_number = 0 + # first ensure the tuple (dataset, config, split) exists on the Hub + splits_response = get_splits_response(dataset_name, hf_token) + # ^ can raise DoesNotExistError or DatasetError + if config_name not in [split_item["config_name"] for split_item in splits_response["splits"]]: + raise ConfigNotFoundError(f"config {config_name} does not exist for dataset {dataset_name}") + if {"dataset_name": dataset_name, "config_name": config_name, "split_name": split_name} not in [ + { + "dataset_name": split_item["dataset_name"], + "config_name": split_item["config_name"], + "split_name": split_item["split_name"], + } + for split_item in splits_response["splits"] + ]: + raise SplitNotFoundError("The config or the split does not exist in the dataset") + # get the features + try: + info = get_dataset_config_info( + path=dataset_name, + config_name=config_name, + use_auth_token=hf_token, + ) + except Exception as err: + raise InfoError("The info cannot be fetched for the dataset config.", cause=err) from err + if not info.features: + try: + # https://github.com/huggingface/datasets/blob/f5826eff9b06ab10dba1adfa52543341ef1e6009/src/datasets/iterable_dataset.py#L1255 + iterable_dataset = load_dataset( + dataset_name, + name=config_name, + split=split_name, + streaming=True, + use_auth_token=hf_token, + ) + if not isinstance(iterable_dataset, IterableDataset): + raise TypeError("load_dataset should return an IterableDataset") + iterable_dataset = iterable_dataset._resolve_features() + if not isinstance(iterable_dataset, IterableDataset): + raise TypeError("load_dataset should return an IterableDataset") + features = iterable_dataset.features + except Exception as err: + raise FeaturesError("The split features (columns) cannot be extracted.", cause=err) from err + else: + features = info.features + # get the rows + try: + rows = get_rows( + dataset_name, config_name, split_name, streaming=True, rows_max_number=rows_max_number, hf_token=hf_token + ) + except Exception as err: + if max_size_fallback is None or info.size_in_bytes is None or info.size_in_bytes > max_size_fallback: + raise StreamingRowsError( + "Cannot load the dataset split (in streaming mode) to extract the first rows.", + cause=err, + ) from err + try: + rows = get_rows( + dataset_name, + config_name, + split_name, + streaming=False, + rows_max_number=rows_max_number, + hf_token=hf_token, + ) + except Exception as err: + raise NormalRowsError( + "Cannot load the dataset split (in normal download mode) to extract the first rows.", + cause=err, + ) from err + # transform the rows, if needed (e.g. save the images or audio to the assets, and return their URL) + try: + transformed_rows = transform_rows(dataset_name, config_name, split_name, rows, features, assets_base_url) + except Exception as err: + raise RowsPostProcessingError( + "Server error while post-processing the split rows. Please report the issue.", + cause=err, + ) from err + # truncate the rows to fit within the restrictions, and prepare them as RowItems + row_items = create_truncated_row_items( + dataset_name, config_name, split_name, transformed_rows, rows_max_bytes, rows_min_number + ) + # return the response + return { + "features": to_features_list(dataset_name, config_name, split_name, features), + "rows": row_items, + } diff --git a/services/worker/src/worker/responses/splits.py b/services/worker/src/worker/responses/splits.py new file mode 100644 index 00000000..65283d1b --- /dev/null +++ b/services/worker/src/worker/responses/splits.py @@ -0,0 +1,106 @@ +import logging +from typing import Dict, List, Optional, TypedDict + +from datasets import ( + DatasetInfo, + get_dataset_config_info, + get_dataset_config_names, + get_dataset_split_names, +) +from huggingface_hub import dataset_info # type:ignore +from huggingface_hub.utils import RepositoryNotFoundError # type:ignore + +from worker.utils import DatasetNotFoundError, SplitsNamesError + +logger = logging.getLogger(__name__) + + +class SplitFullName(TypedDict): + dataset_name: str + config_name: str + split_name: str + + +class SplitItem(SplitFullName): + num_bytes: Optional[int] + num_examples: Optional[int] + + +class SplitsResponse(TypedDict): + splits: List[SplitItem] + + +def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]: + logger.info(f"get dataset '{dataset_name}' split full names") + return [ + {"dataset_name": dataset_name, "config_name": config_name, "split_name": split_name} + for config_name in get_dataset_config_names(dataset_name, use_auth_token=hf_token) + for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token) + ] + + +def get_splits_response( + dataset_name: str, + hf_token: Optional[str] = None, +) -> SplitsResponse: + """ + Get the response of /splits for one specific dataset on huggingface.co. + Dataset can be private or gated if you pass an acceptable token. + Args: + dataset_name (`str`): + A namespace (user or an organization) and a repo name separated + by a `/`. + hf_token (`str`, *optional*): + An authentication token (See https://huggingface.co/settings/token) + Returns: + [`SplitsResponse`]: The list of splits names. + <Tip> + Raises the following errors: + - [`~worker.exceptions.DatasetNotFoundError`] + If the repository to download from cannot be found. This may be because it doesn't exist, + or because it is set to `private` and you do not have access. + - [`~worker.exceptions.SplitsNamesError`] + If the list of splits could not be obtained using the datasets library. + </Tip> + """ + logger.info(f"get splits for dataset={dataset_name}") + # first ensure the dataset exists on the Hub + try: + dataset_info(dataset_name, token=hf_token) + except RepositoryNotFoundError as err: + raise DatasetNotFoundError("The dataset does not exist on the Hub.") from err + # get the list of splits + try: + split_full_names = get_dataset_split_full_names(dataset_name, hf_token) + except Exception as err: + raise SplitsNamesError("Cannot get the split names for the dataset.", cause=err) from err + # get the number of bytes and examples for each split + config_info: Dict[str, DatasetInfo] = {} + split_items: List[SplitItem] = [] + for split_full_name in split_full_names: + dataset = split_full_name["dataset_name"] + config = split_full_name["config_name"] + split = split_full_name["split_name"] + try: + if config not in config_info: + config_info[config] = get_dataset_config_info( + path=dataset, + config_name=config, + use_auth_token=hf_token, + ) + info = config_info[config] + num_bytes = info.splits[split].num_bytes if info.splits else None + num_examples = info.splits[split].num_examples if info.splits else None + except Exception: + num_bytes = None + num_examples = None + split_items.append( + { + "dataset_name": dataset, + "config_name": config, + "split_name": split, + "num_bytes": num_bytes, + "num_examples": num_examples, + } + ) + return {"splits": split_items} diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py new file mode 100644 index 00000000..64bbaa44 --- /dev/null +++ b/services/worker/src/worker/utils.py @@ -0,0 +1,132 @@ +import functools +import time +from http import HTTPStatus +from logging import Logger +from typing import Literal, Optional + +from libutils.exceptions import CustomError + +WorkerErrorCode = Literal[ + "DatasetNotFoundError", + "ConfigNotFoundError", + "SplitNotFoundError", + "SplitsNamesError", + "InfoError", + "FeaturesError", + "StreamingRowsError", + "NormalRowsError", + "RowsPostProcessingError", + "UnexpectedError", +] + + +class WorkerCustomError(CustomError): + """Base class for exceptions in this module.""" + + def __init__( + self, + message: str, + status_code: HTTPStatus, + code: WorkerErrorCode, + cause: Optional[BaseException] = None, + disclose_cause: bool = False, + ): + super().__init__(message, status_code, str(code), cause, disclose_cause) + + +class DatasetNotFoundError(WorkerCustomError): + """Raised when the dataset does not exist.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.NOT_FOUND, "DatasetNotFoundError", cause, False) + + +class ConfigNotFoundError(WorkerCustomError): + """Raised when the config does not exist.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.NOT_FOUND, "ConfigNotFoundError", cause, False) + + +class SplitNotFoundError(WorkerCustomError): + """Raised when the split does not exist.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.NOT_FOUND, "SplitNotFoundError", cause, False) + + +class SplitsNamesError(WorkerCustomError): + """Raised when the split names could not be fetched.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "SplitsNamesError", cause, True) + + +class InfoError(WorkerCustomError): + """Raised when the info could not be fetched.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "InfoError", cause, True) + + +class FeaturesError(WorkerCustomError): + """Raised when the features could not be fetched.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "FeaturesError", cause, True) + + +class StreamingRowsError(WorkerCustomError): + """Raised when the rows could not be fetched in streaming mode.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "StreamingRowsError", cause, True) + + +class NormalRowsError(WorkerCustomError): + """Raised when the rows could not be fetched in normal mode.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "NormalRowsError", cause, True) + + +class RowsPostProcessingError(WorkerCustomError): + """Raised when the rows could not be post-processed successfully.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "RowsPostProcessingError", cause, False) + + +class UnexpectedError(WorkerCustomError): + """Raised when the response for the split has not been found.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "UnexpectedError", cause, False) + + +def retry(logger: Logger): + def decorator_retry(func): + """retries with an increasing sleep before every attempt""" + SLEEPS = [1, 7, 70, 7 * 60, 70 * 60] + MAX_ATTEMPTS = len(SLEEPS) + + @functools.wraps(func) + def decorator(*args, **kwargs): + attempt = 0 + last_err = None + while attempt < MAX_ATTEMPTS: + try: + """always sleep before calling the function. It will prevent rate limiting in the first place""" + duration = SLEEPS[attempt] + logger.info(f"Sleep during {duration} seconds to preventively mitigate rate limiting.") + time.sleep(duration) + return func(*args, **kwargs) + except ConnectionError as err: + logger.info("Got a ConnectionError, possibly due to rate limiting. Let's retry.") + last_err = err + attempt += 1 + raise RuntimeError(f"Give up after {attempt} attempts with ConnectionError") from last_err + + return decorator + + return decorator_retry diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py index d32d3562..ddfe5254 100644 --- a/services/worker/tests/conftest.py +++ b/services/worker/tests/conftest.py @@ -8 +8 @@ def config(): - return {"image_file": os.path.join(os.path.dirname(__file__), "models", "data", "test_image_rgb.jpg")} + return {"image_file": os.path.join(os.path.dirname(__file__), "data", "test_image_rgb.jpg")} diff --git a/services/worker/tests/models/data/test_image_rgb.jpg b/services/worker/tests/data/test_image_rgb.jpg similarity index 100% rename from services/worker/tests/models/data/test_image_rgb.jpg rename to services/worker/tests/data/test_image_rgb.jpg diff --git a/services/worker/tests/deprecated/__init__.py b/services/worker/tests/deprecated/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/worker/tests/deprecated/models/__init__.py b/services/worker/tests/deprecated/models/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/worker/tests/models/test_column.py b/services/worker/tests/deprecated/models/test_column.py similarity index 89% rename from services/worker/tests/models/test_column.py rename to services/worker/tests/deprecated/models/test_column.py index 6a4d10d2..bece4baf 100644 --- a/services/worker/tests/models/test_column.py +++ b/services/worker/tests/deprecated/models/test_column.py @@ -1,4 +1,4 @@ -from worker.models.column import get_columns -from worker.models.column.class_label import ClassLabelColumn -from worker.models.column.timestamp import TimestampColumn -from worker.models.info import get_info +from worker.deprecated.models.column import get_columns +from worker.deprecated.models.column.class_label import ClassLabelColumn +from worker.deprecated.models.column.timestamp import TimestampColumn +from worker.deprecated.models.info import get_info diff --git a/services/worker/tests/models/test_dataset.py b/services/worker/tests/deprecated/models/test_dataset.py similarity index 76% rename from services/worker/tests/models/test_dataset.py rename to services/worker/tests/deprecated/models/test_dataset.py index 86df7460..f33a89d6 100644 --- a/services/worker/tests/models/test_dataset.py +++ b/services/worker/tests/deprecated/models/test_dataset.py @@ -2 +2 @@ import pytest -from libutils.exceptions import Status400Error +from datasets.inspect import SplitsNotFoundError @@ -4 +4 @@ from libutils.exceptions import Status400Error -from worker.models.dataset import get_dataset_split_full_names +from worker.deprecated.models.dataset import get_dataset_split_full_names @@ -6 +6 @@ from worker.models.dataset import get_dataset_split_full_names -from .._utils import HF_TOKEN +from ..._utils import HF_TOKEN @@ -12 +12 @@ def test_script_error() -> None: - with pytest.raises(Status400Error): + with pytest.raises(ModuleNotFoundError): @@ -18 +18 @@ def test_no_dataset() -> None: - with pytest.raises(Status400Error): + with pytest.raises(FileNotFoundError): @@ -24 +24 @@ def test_no_dataset_no_script() -> None: - with pytest.raises(Status400Error): + with pytest.raises(FileNotFoundError): @@ -26,3 +26 @@ def test_no_dataset_no_script() -> None: - # raises "ModuleNotFoundError: No module named 'datasets_modules.datasets.Test'" - # which should be caught and raised as DatasetBuilderScriptError - with pytest.raises(Status400Error): + with pytest.raises(FileNotFoundError): @@ -33 +31 @@ def test_builder_config_error() -> None: - with pytest.raises(Status400Error): + with pytest.raises(SplitsNotFoundError): @@ -35 +33 @@ def test_builder_config_error() -> None: - with pytest.raises(Status400Error): + with pytest.raises(RuntimeError): @@ -37 +35 @@ def test_builder_config_error() -> None: - with pytest.raises(Status400Error): + with pytest.raises(TypeError): diff --git a/services/worker/tests/models/test_info.py b/services/worker/tests/deprecated/models/test_info.py similarity index 83% rename from services/worker/tests/models/test_info.py rename to services/worker/tests/deprecated/models/test_info.py index 72eb1479..8c2a3ac2 100644 --- a/services/worker/tests/models/test_info.py +++ b/services/worker/tests/deprecated/models/test_info.py @@ -1 +1 @@ -from worker.models.info import get_info +from worker.deprecated.models.info import get_info diff --git a/services/worker/tests/models/test_row.py b/services/worker/tests/deprecated/models/test_row.py similarity index 96% rename from services/worker/tests/models/test_row.py rename to services/worker/tests/deprecated/models/test_row.py index fc4793fe..b3275c76 100644 --- a/services/worker/tests/models/test_row.py +++ b/services/worker/tests/deprecated/models/test_row.py @@ -3 +3 @@ from PIL import Image # type: ignore -from worker.models.row import get_rows +from worker.deprecated.models.row import get_rows @@ -5 +5 @@ from worker.models.row import get_rows -from .._utils import ROWS_MAX_NUMBER +from ..._utils import ROWS_MAX_NUMBER diff --git a/services/worker/tests/models/test_split.py b/services/worker/tests/deprecated/models/test_split.py similarity index 98% rename from services/worker/tests/models/test_split.py rename to services/worker/tests/deprecated/models/test_split.py index fd68c4e2..58b8bd7c 100644 --- a/services/worker/tests/models/test_split.py +++ b/services/worker/tests/deprecated/models/test_split.py @@ -3 +3 @@ -from worker.models.split import get_split +from worker.deprecated.models.split import get_split @@ -5 +5 @@ from worker.models.split import get_split -from .._utils import HF_TOKEN, ROWS_MAX_NUMBER +from ..._utils import HF_TOKEN, ROWS_MAX_NUMBER diff --git a/services/worker/tests/deprecated/test_main.py b/services/worker/tests/deprecated/test_main.py new file mode 100644 index 00000000..6d8de6bd --- /dev/null +++ b/services/worker/tests/deprecated/test_main.py @@ -0,0 +1,40 @@ +import pytest +from libcache.cache import clean_database as clean_cache_database +from libcache.cache import connect_to_cache +from libqueue.queue import add_dataset_job, add_split_job +from libqueue.queue import clean_database as clean_queue_database +from libqueue.queue import connect_to_queue + +from worker.main import process_next_dataset_job, process_next_split_job + +from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL + + [email protected](autouse=True, scope="module") +def safe_guard() -> None: + if "test" not in MONGO_CACHE_DATABASE: + raise ValueError("Test must be launched on a test mongo database") + + [email protected](autouse=True, scope="module") +def client() -> None: + connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) + + [email protected](autouse=True) +def clean_mongo_database() -> None: + clean_cache_database() + clean_queue_database() + + +def test_process_next_dataset_job(): + add_dataset_job("acronym_identification") + result = process_next_dataset_job() + assert result is True + + +def test_process_next_split_job(): + add_split_job("acronym_identification", "default", "train") + result = process_next_split_job() + assert result is True diff --git a/services/worker/tests/deprecated/test_refresh.py b/services/worker/tests/deprecated/test_refresh.py new file mode 100644 index 00000000..01d3d57b --- /dev/null +++ b/services/worker/tests/deprecated/test_refresh.py @@ -0,0 +1,74 @@ +import pytest +from libcache.cache import DbDataset +from libcache.cache import clean_database as clean_cache_database +from libcache.cache import connect_to_cache, get_rows_response +from libcache.cache import get_splits_response as old_get_splits_response +from libqueue.queue import clean_database as clean_queue_database +from libqueue.queue import connect_to_queue +from libutils.exceptions import Status400Error + +from worker.deprecated.refresh import refresh_dataset, refresh_split + +from .._utils import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE, MONGO_URL + + [email protected](autouse=True, scope="module") +def safe_guard() -> None: + if "test" not in MONGO_CACHE_DATABASE: + raise ValueError("Test must be launched on a test mongo database") + + [email protected](autouse=True, scope="module") +def client() -> None: + connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) + + [email protected](autouse=True) +def clean_mongo_database() -> None: + clean_cache_database() + clean_queue_database() + + +def test_doesnotexist() -> None: + dataset_name = "doesnotexist" + with pytest.raises(Status400Error): + refresh_dataset(dataset_name) + # TODO: don't use internals of the cache database? + retrieved = DbDataset.objects(dataset_name=dataset_name).get() + assert retrieved.status.value == "error" + + +def test_e2e_examples() -> None: + # see https://github.com/huggingface/datasets-server/issues/78 + dataset_name = "Check/region_1" + refresh_dataset(dataset_name) + # TODO: don't use internals of the cache database? + retrieved = DbDataset.objects(dataset_name=dataset_name).get() + assert retrieved.status.value == "valid" + splits_response, error, status_code = old_get_splits_response(dataset_name) + assert status_code == 200 + assert error is None + assert splits_response is not None + assert "splits" in splits_response + assert len(splits_response["splits"]) == 1 + + +def test_large_document() -> None: + # see https://github.com/huggingface/datasets-server/issues/89 + dataset_name = "SaulLu/Natural_Questions_HTML" + refresh_dataset(dataset_name) + retrieved = DbDataset.objects(dataset_name=dataset_name).get() + assert retrieved.status.value == "valid" + + +def test_column_order() -> None: + refresh_split("acronym_identification", "default", "train") + rows_response, error, status_code = get_rows_response("acronym_identification", "default", "train") + assert status_code == 200 + assert error is None + assert rows_response is not None + assert "columns" in rows_response + assert rows_response["columns"][0]["column"]["name"] == "id" + assert rows_response["columns"][1]["column"]["name"] == "tokens" + assert rows_response["columns"][2]["column"]["name"] == "labels" diff --git a/services/worker/tests/models/test_first_rows.py b/services/worker/tests/models/test_first_rows.py deleted file mode 100644 index 8512adbd..00000000 --- a/services/worker/tests/models/test_first_rows.py +++ /dev/null @@ -1,37 +0,0 @@ -from worker.models.first_rows import get_first_rows - -from .._utils import ASSETS_BASE_URL - - -def test_first_rows() -> None: - response = get_first_rows("common_voice", "tr", "train", rows_max_number=1, assets_base_url=ASSETS_BASE_URL) - - assert response["features"][0]["idx"] == 0 - assert response["features"][0]["name"] == "client_id" - assert response["features"][0]["type"]["_type"] == "Value" - assert response["features"][0]["type"]["dtype"] == "string" - - assert response["features"][2]["name"] == "audio" - assert response["features"][2]["type"]["_type"] == "Audio" - assert response["features"][2]["type"]["sampling_rate"] == 48000 - - assert response["rows"][0]["row_idx"] == 0 - assert response["rows"][0]["row"]["client_id"].startswith("54fc2d015c27a057b") - assert response["rows"][0]["row"]["audio"] == [ - {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3", "type": "audio/mpeg"}, - {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav", "type": "audio/wav"}, - ] - - -def test_no_features() -> None: - response = get_first_rows( - "severo/fix-401", "severo--fix-401", "train", rows_max_number=1, assets_base_url=ASSETS_BASE_URL - ) - - assert response["features"][1]["idx"] == 1 - assert response["features"][1]["name"] == "area_mean" - assert response["features"][1]["type"]["_type"] == "Value" - assert response["features"][1]["type"]["dtype"] == "float64" - - assert response["rows"][0]["row_idx"] == 0 - assert response["rows"][0]["row"]["area_mean"] == 1001.0 diff --git a/services/worker/tests/responses/__init__.py b/services/worker/tests/responses/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/worker/tests/responses/test_first_rows.py b/services/worker/tests/responses/test_first_rows.py new file mode 100644 index 00000000..2e02aa71 --- /dev/null +++ b/services/worker/tests/responses/test_first_rows.py @@ -0,0 +1,59 @@ +from worker.responses.first_rows import get_first_rows_response + +from .._utils import ASSETS_BASE_URL + + +def test_number_rows() -> None: + rows_max_number = 7 + response = get_first_rows_response( + "duorc", + "SelfRC", + "train", + rows_max_number=rows_max_number, + assets_base_url=ASSETS_BASE_URL, + ) + assert len(response["rows"]) == rows_max_number + + +def test_get_first_rows_response() -> None: + rows_max_number = 7 + response = get_first_rows_response( + "common_voice", + "tr", + "train", + rows_max_number=rows_max_number, + assets_base_url=ASSETS_BASE_URL, + ) + + assert response["features"][0]["feature_idx"] == 0 + assert response["features"][0]["name"] == "client_id" + assert response["features"][0]["type"]["_type"] == "Value" + assert response["features"][0]["type"]["dtype"] == "string" + + assert response["features"][2]["name"] == "audio" + assert response["features"][2]["type"]["_type"] == "Audio" + assert response["features"][2]["type"]["sampling_rate"] == 48000 + + assert len(response["rows"]) == rows_max_number + assert response["rows"][0]["row_idx"] == 0 + assert response["rows"][0]["row"]["client_id"].startswith("54fc2d015c27a057b") + assert response["rows"][0]["row"]["audio"] == [ + {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.mp3", "type": "audio/mpeg"}, + {"src": f"{ASSETS_BASE_URL}/common_voice/--/tr/train/0/audio/audio.wav", "type": "audio/wav"}, + ] + + +def test_no_features() -> None: + response = get_first_rows_response( + "severo/fix-401", "severo--fix-401", "train", rows_max_number=1, assets_base_url=ASSETS_BASE_URL + ) + + # TODO: re-enable when we understand why it works locally but not in the CI (order of the features) + # assert response["features"][5]["feature_idx"] == 5 + # assert response["features"][5]["name"] == "area_mean" + # assert response["features"][5]["type"]["_type"] == "Value" + # assert response["features"][5]["type"]["dtype"] == "float64" + + assert response["rows"][0]["row_idx"] == 0 + assert response["rows"][0]["row"]["diagnosis"] == "M" + assert response["rows"][0]["row"]["area_mean"] == 1001.0 diff --git a/services/worker/tests/responses/test_splits.py b/services/worker/tests/responses/test_splits.py new file mode 100644 index 00000000..d265d70a --- /dev/null +++ b/services/worker/tests/responses/test_splits.py @@ -0,0 +1,77 @@ +import pytest +from datasets.inspect import SplitsNotFoundError + +from worker.responses.splits import get_dataset_split_full_names, get_splits_response +from worker.utils import SplitsNamesError + +from .._utils import HF_TOKEN + + +def test_script_error() -> None: + # raises "ModuleNotFoundError: No module named 'datasets_modules.datasets.br-quad-2'" + # which should be caught and raised as DatasetBuilderScriptError + with pytest.raises(ModuleNotFoundError): + get_dataset_split_full_names(dataset_name="piEsposito/br-quad-2.0") + + +def test_no_dataset() -> None: + # the dataset does not exist + with pytest.raises(FileNotFoundError): + get_dataset_split_full_names(dataset_name="doesnotexist") + + +def test_no_dataset_no_script() -> None: + # the dataset does not contain a script + with pytest.raises(FileNotFoundError): + get_dataset_split_full_names(dataset_name="AConsApart/anime_subtitles_DialoGPT") + with pytest.raises(FileNotFoundError): + get_dataset_split_full_names(dataset_name="TimTreasure4/Test") + + +def test_builder_config_error() -> None: + with pytest.raises(SplitsNotFoundError): + get_dataset_split_full_names(dataset_name="KETI-AIR/nikl") + with pytest.raises(RuntimeError): + get_dataset_split_full_names(dataset_name="nateraw/image-folder") + with pytest.raises(TypeError): + get_dataset_split_full_names(dataset_name="Valahaar/wsdmt") + + +# get_split +def test_get_split() -> None: + split_full_names = get_dataset_split_full_names("glue") + assert len(split_full_names) == 34 + assert {"dataset_name": "glue", "config_name": "ax", "split_name": "test"} in split_full_names + + +def test_splits_fallback() -> None: + # uses the fallback to call "builder._split_generators" while https://github.com/huggingface/datasets/issues/2743 + split_full_names = get_dataset_split_full_names("hda_nli_hindi") + assert len(split_full_names) == 3 + assert {"dataset_name": "hda_nli_hindi", "config_name": "HDA nli hindi", "split_name": "train"} in split_full_names + + +def test_gated() -> None: + split_full_names = get_dataset_split_full_names("severo/dummy_gated", HF_TOKEN) + assert len(split_full_names) == 1 + assert { + "dataset_name": "severo/dummy_gated", + "config_name": "severo--embellishments", + "split_name": "train", + } in split_full_names + + +def test_disclose_cause() -> None: + with pytest.raises(SplitsNamesError) as exc_info: + get_splits_response("akhaliq/test", HF_TOKEN) + assert exc_info.value.disclose_cause is True + assert exc_info.value.cause_exception == "FileNotFoundError" + response = exc_info.value.as_response() + assert set(response.keys()) == {"error", "cause_exception", "cause_message", "cause_traceback"} + assert response["error"] == "Cannot get the split names for the dataset." + response_dict = dict(response) + # ^ to remove mypy warnings + assert response_dict["cause_exception"] == "FileNotFoundError" + assert str(response_dict["cause_message"]).startswith("Couldn't find a dataset script at ") + assert isinstance(response_dict["cause_traceback"], list) + assert response_dict["cause_traceback"][0] == "Traceback (most recent call last):\n" diff --git a/services/worker/tests/models/test_features.py b/services/worker/tests/test_features.py similarity index 99% rename from services/worker/tests/models/test_features.py rename to services/worker/tests/test_features.py index def249c9..b69585b9 100644 --- a/services/worker/tests/models/test_features.py +++ b/services/worker/tests/test_features.py @@ -24 +24 @@ from datasets import ( -from worker.models.features import get_cell_value +from worker.features import get_cell_value @@ -26 +26 @@ from worker.models.features import get_cell_value -from .._utils import ASSETS_BASE_URL +from ._utils import ASSETS_BASE_URL diff --git a/services/worker/tests/test_main.py b/services/worker/tests/test_main.py index 978350d8..bb71d45f 100644 --- a/services/worker/tests/test_main.py +++ b/services/worker/tests/test_main.py @@ -2,3 +2,3 @@ import pytest -from libcache.cache import clean_database as clean_cache_database -from libcache.cache import connect_to_cache -from libqueue.queue import add_dataset_job, add_split_job, add_splits_job +from libcache.simple_cache import _clean_database as clean_cache_database +from libcache.simple_cache import connect_to_cache +from libqueue.queue import add_first_rows_job, add_splits_job @@ -8,5 +8 @@ from libqueue.queue import connect_to_queue -from worker.main import ( - process_next_dataset_job, - process_next_split_job, - process_next_splits_job, -) +from worker.main import process_next_first_rows_job, process_next_splits_job @@ -35,5 +31 @@ def clean_mongo_database() -> None: -def test_process_next_dataset_job(): - add_dataset_job("acronym_identification") - result = process_next_dataset_job() - assert result is True - +def test_process_next_splits_job(): @@ -45,3 +37,3 @@ def test_process_next_dataset_job(): -def test_process_next_split_job(): - add_split_job("acronym_identification", "default", "train") - result = process_next_split_job() +def test_process_next_first_rows_job(): + add_first_rows_job("acronym_identification", "default", "train") + result = process_next_first_rows_job() diff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py index 485c7faa..eb2aa223 100644 --- a/services/worker/tests/test_refresh.py +++ b/services/worker/tests/test_refresh.py @@ -0,0 +1,2 @@ +from http import HTTPStatus + @@ -2,4 +4,2 @@ import pytest -from libcache.cache import DbDataset -from libcache.cache import clean_database as clean_cache_database -from libcache.cache import connect_to_cache, get_rows_response -from libcache.cache import get_splits_response as old_get_splits_response +from libcache.simple_cache import DoesNotExist +from libcache.simple_cache import _clean_database as clean_cache_database @@ -7 +7 @@ from libcache.simple_cache import ( - HTTPStatus, + connect_to_cache, @@ -13 +12,0 @@ from libqueue.queue import connect_to_queue -from libutils.exceptions import Status400Error @@ -15,6 +14 @@ from libutils.exceptions import Status400Error -from worker.refresh import ( - refresh_dataset, - refresh_first_rows, - refresh_split, - refresh_splits, -) +from worker.refresh import refresh_first_rows, refresh_splits @@ -50,10 +44,3 @@ def test_doesnotexist() -> None: - with pytest.raises(Status400Error): - refresh_dataset(dataset_name) - # TODO: don't use internals of the cache database? - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "error" - - assert refresh_splits(dataset_name) == HTTPStatus.BAD_REQUEST - response, http_status = get_splits_response(dataset_name) - assert http_status == HTTPStatus.BAD_REQUEST - assert response["error"] == "Cannot get the split names for the dataset." + assert refresh_splits(dataset_name) == (HTTPStatus.NOT_FOUND, False) + with pytest.raises(DoesNotExist): + get_splits_response(dataset_name) @@ -65,13 +52,3 @@ def test_e2e_examples() -> None: - refresh_dataset(dataset_name) - # TODO: don't use internals of the cache database? - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "valid" - splits_response, error, status_code = old_get_splits_response(dataset_name) - assert status_code == 200 - assert error is None - assert splits_response is not None - assert "splits" in splits_response - assert len(splits_response["splits"]) == 1 - - assert refresh_splits(dataset_name) == HTTPStatus.OK - response, _ = get_splits_response(dataset_name) + + assert refresh_splits(dataset_name) == (HTTPStatus.OK, False) + response, _, _ = get_splits_response(dataset_name) @@ -83,2 +60,2 @@ def test_e2e_examples() -> None: - assert refresh_splits(dataset_name) == HTTPStatus.OK - response, _ = get_splits_response(dataset_name) + assert refresh_splits(dataset_name) == (HTTPStatus.OK, False) + response, _, _ = get_splits_response(dataset_name) @@ -93,3 +69,0 @@ def test_large_document() -> None: - refresh_dataset(dataset_name) - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "valid" @@ -97,2 +71,2 @@ def test_large_document() -> None: - assert refresh_splits(dataset_name) == HTTPStatus.OK - _, http_status = get_splits_response(dataset_name) + assert refresh_splits(dataset_name) == (HTTPStatus.OK, False) + _, http_status, error_code = get_splits_response(dataset_name) @@ -100,12 +74 @@ def test_large_document() -> None: - - -def test_column_order() -> None: - refresh_split("acronym_identification", "default", "train") - rows_response, error, status_code = get_rows_response("acronym_identification", "default", "train") - assert status_code == 200 - assert error is None - assert rows_response is not None - assert "columns" in rows_response - assert rows_response["columns"][0]["column"]["name"] == "id" - assert rows_response["columns"][1]["column"]["name"] == "tokens" - assert rows_response["columns"][2]["column"]["name"] == "labels" + assert error_code is None @@ -115,2 +78,2 @@ def test_first_rows() -> None: - http_status = refresh_first_rows("common_voice", "tr", "train", ASSETS_BASE_URL) - response, cached_http_status = get_first_rows_response("common_voice", "tr", "train") + http_status, _ = refresh_first_rows("common_voice", "tr", "train", ASSETS_BASE_URL) + response, cached_http_status, error_code = get_first_rows_response("common_voice", "tr", "train") @@ -118,0 +82 @@ def test_first_rows() -> None: + assert error_code is None @@ -120 +84 @@ def test_first_rows() -> None: - assert response["features"][0]["idx"] == 0 + assert response["features"][0]["feature_idx"] == 0 diff --git a/tools/Python.mk b/tools/Python.mk index 43d661dc..43474eda 100644 --- a/tools/Python.mk +++ b/tools/Python.mk @@ -34,0 +35,9 @@ style: + +.PHONY: test-target +test-target: + MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) $(PYTEST_ARGS) + +.PHONY: test-target-expression +test-target-expression: + MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x $(TEST_TARGET) -k $(TEST_EXPRESSION) $(PYTEST_ARGS) + @@ -38,2 +47,2 @@ test: - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) up - MONGO_URL=${TEST_MONGO_URL} MONGO_QUEUE_DATABASE=${TEST_MONGO_QUEUE_DATABASE} MONGO_CACHE_DATABASE=${TEST_MONGO_CACHE_DATABASE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} poetry run python -m pytest -x tests + MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up + TEST_TARGET=tests make test-target @@ -45 +54 @@ coverage: - MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} $(MAKE) up + MONGO_PORT=${TEST_MONGO_PORT} COMPOSE_PROJECT_NAME=${TEST_COMPOSE_PROJECT_NAME} DOCKER_COMPOSE=${TEST_DOCKER_COMPOSE} ROWS_MAX_NUMBER=${TEST_ROWS_MAX_NUMBER} $(MAKE) up diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index 1eb1f240..882da3bb 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -52,0 +53 @@ services: + ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100} @@ -67,0 +69 @@ services: + ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100} @@ -82,0 +85 @@ services: + ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100} @@ -97,0 +101 @@ services: + ROWS_MAX_NUMBER: ${ROWS_MAX_NUMBER-100}
7772c4dce66363bd809a749c8687e86b5b437b18
Sylvain Lesage
2022-07-27T15:32:33
Update ephemeral namespace (#483)
diff --git a/chart/Makefile b/chart/Makefile index 14c7888e..f0d8b43f 100644 --- a/chart/Makefile +++ b/chart/Makefile @@ -1,0 +2 @@ CHART_NAME := datasets-server +K8S_NAMESPACE := datasets-server @@ -21 +22 @@ diff-dev: - @make diff ENV=dev K8S_NAMESPACE=hub + @make diff ENV=dev @@ -25 +26 @@ uninstall-dev: - @make uninstall ENV=dev K8S_NAMESPACE=hub + @make uninstall ENV=dev @@ -29 +30 @@ upgrade-dev: - @make upgrade ENV=dev K8S_NAMESPACE=hub + @make upgrade ENV=dev @@ -33 +34 @@ diff-prod: - @make diff ENV=prod K8S_NAMESPACE=datasets-server + @make diff ENV=prod @@ -37 +38 @@ uninstall-prod: - @make uninstall ENV=prod K8S_NAMESPACE=datasets-server + @make uninstall ENV=prod @@ -41 +42 @@ upgrade-prod: - @make upgrade ENV=prod K8S_NAMESPACE=datasets-server + @make upgrade ENV=prod diff --git a/docs_to_notion/authentication.md b/docs_to_notion/authentication.md index 9362128b..6f1d905b 100644 --- a/docs_to_notion/authentication.md +++ b/docs_to_notion/authentication.md @@ -3 +3 @@ -To work on the `datasets-server` infrastructure, you have to configure AWS to use the SSO account `hub` (see https://huggingface.awsapps.com/start#/) with the role `EKS-HUB-Hub` (see also the [doc in Notion about AWS SSO](https://www.notion.so/huggingface2/Conventions-645d29ce0a01496bb07c67a06612aa98#ff642cd8e28a4107ae26cc6183ccdd01)): +To work on the `datasets-server` infrastructure, you have to configure AWS to use the SSO account `hub` (see https://huggingface.awsapps.com/start#/) with the role `EKS-HUB-Tensorboard` (see also the [doc in Notion about AWS SSO](https://www.notion.so/huggingface2/Conventions-645d29ce0a01496bb07c67a06612aa98#ff642cd8e28a4107ae26cc6183ccdd01)): @@ -11,3 +11,3 @@ Using the account ID 707930574880 -There are 3 roles available to you. # <-- select "EKS-HUB-Hub" -Using the role name "EKS-HUB-Hub" -CLI default client Region [None]: us-east-1 +There are 3 roles available to you. # <-- select "EKS-HUB-Tensorboard" +Using the role name "EKS-HUB-Tensorboard" +CLI default client Region [None]: @@ -15 +15 @@ CLI default output format [None]: -CLI profile name [EKS-HUB-Hub-707930574880]: hub-prod +CLI profile name [EKS-HUB-Hub-707930574880]: tb @@ -19 +19 @@ To use this profile, specify the profile name using --profile, as shown: -aws s3 ls --profile hub-prod +aws s3 ls --profile tb @@ -22 +22 @@ aws s3 ls --profile hub-prod -In the docs, we assume the AWS CLI profile is called `hub-prod`. +In the docs, we assume the AWS CLI profile is called `tb`. @@ -24 +24 @@ In the docs, we assume the AWS CLI profile is called `hub-prod`. -The profile `hub-prod` is meant to: +The profile `tb` is meant to: @@ -28,4 +28,23 @@ The profile `hub-prod` is meant to: - ```shell - $ aws eks describe-cluster --profile=hub-prod --name=hub-prod - $ aws eks update-kubeconfig --profile=hub-prod --name=hub-prod - ``` + - setup the kube contexts: + + ```shell + aws eks update-kubeconfig --name "hub-prod" --alias "hub-prod-with-tb" --region us-east-1 --profile=tb + aws eks update-kubeconfig --name "hub-ephemeral" --alias "hub-ephemeral-with-tb" --region us-east-1 --profile=tb + ``` + + - install kubectx and kubens (see [tools.md](./tools.md)) + - ephemeral: + + ```shell + kubectx hub-ephemeral-with-tb + kubens datasets-server + kubectl get pod + ``` + + - prod: + + ```shell + kubectx hub-prod-with-tb + kubens datasets-server + kubectl get pod + ``` @@ -36 +55 @@ The profile `hub-prod` is meant to: - $ aws ecr get-login-password --region us-east-1 --profile=hub-prod \ + $ aws ecr get-login-password --region us-east-1 --profile=tb \ @@ -40,2 +58,0 @@ The profile `hub-prod` is meant to: - **Note**: the `EKS-HUB-Hub` profile still misses this right. Until the infra team adds it, you can use the `hub-pu` profile. - @@ -45 +62 @@ It is not meant to operate on AWS resources directly. The following command give -$ aws eks list-clusters --profile=hub-prod +$ aws eks list-clusters --profile=tb diff --git a/docs_to_notion/docker.md b/docs_to_notion/docker.md index 506281fd..850541cf 100644 --- a/docs_to_notion/docker.md +++ b/docs_to_notion/docker.md @@ -21,8 +21 @@ If you want to list, pull or push a docker image manually, you have to login bef -aws ecr get-login-password --profile=hub | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com -``` - -You can also use `aws ecr` to get the list of images of a repository, for example: - -``` -aws ecr list-images --profile=hub --repository-name=hub-datasets-server-api -aws ecr describe-images --profile=hub --repository-name=hub-datasets-server-api +aws ecr get-login-password --profile=tb | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com diff --git a/docs_to_notion/kubernetes.md b/docs_to_notion/kubernetes.md index 8d4a8739..7d6fc891 100644 --- a/docs_to_notion/kubernetes.md +++ b/docs_to_notion/kubernetes.md @@ -22,0 +23 @@ $ aws eks list-clusters --profile=hub-pu + "hub-preprod", @@ -28 +29 @@ $ aws eks list-clusters --profile=hub-pu -Note that listing the clusters is not allowed for the `EKS-HUB-Hub` role of the `hub` account: +Note that listing the clusters is not allowed for the `EKS-HUB-Tensorboard` role of the `hub` account: @@ -31 +32 @@ Note that listing the clusters is not allowed for the `EKS-HUB-Hub` role of the -$ aws eks list-clusters --profile=hub +$ aws eks list-clusters --profile=tb @@ -33 +34 @@ $ aws eks list-clusters --profile=hub -An error occurred (AccessDeniedException) when calling the ListClusters operation: User: arn:aws:sts::707930574880:assumed-role/AWSReservedSSO_EKS-HUB-Hub_3c94769b0752b7d7/[email protected] is not authorized to perform: eks:ListClusters on resource: arn:aws:eks:us-east-1:707930574880:cluster/* +An error occurred (AccessDeniedException) when calling the ListClusters operation: User: arn:aws:sts::707930574880:assumed-role/AWSReservedSSO_EKS-HUB-Tensorboard_855674a9053d4044/[email protected] is not authorized to perform: eks:ListClusters on resource: arn:aws:eks:eu-west-3:707930574880:cluster/* @@ -42,19 +43,10 @@ Setup `kubectl` to use a cluster: -``` -$ aws eks update-kubeconfig --profile=hub --name=hub-ephemeral -Updated context arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral in /home/slesage/.kube/config -``` - -See the details of a cluster using `aws eks`: - -``` -$ aws eks describe-cluster --profile=hub --name=hub-ephemeral -{ - "cluster": { - "name": "hub-ephemeral", - "arn": "arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral", - "createdAt": "2022-04-09T16:47:27.432000+00:00", - "version": "1.22", - ... - } -} -``` +- prod: + ``` + $ aws eks update-kubeconfig --name "hub-prod" --alias "hub-prod-with-tb" --region us-east-1 --profile=tb + Updated context hub-prod-with-tb in /home/slesage/.kube/config + ``` +- ephemeral: + ``` + $ aws eks update-kubeconfig --name "hub-ephemeral" --alias "hub-ephemeral-with-tb" --region us-east-1 --profile=tb + Updated context hub-ephemeral-with-tb in /home/slesage/.kube/config + ``` @@ -133 +125 @@ You can filter to get the info only for one object by adding its name as an argu -- only the `hub` namespace: +- only the `datasets-server` namespace: @@ -136 +128 @@ You can filter to get the info only for one object by adding its name as an argu - kubectl get namespace hub -o json + kubectl get namespace datasets-server -o json @@ -141 +133 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work -- get the namespace with the name `hub` (not very interesting): +- get the namespace with the name `datasets-server` (not very interesting): @@ -144 +136 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work - kubectl get namespace -l "kubernetes.io/metadata.name"==hub + kubectl get namespace -l "kubernetes.io/metadata.name"==datasets-server @@ -147 +139 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work -- get the pods of the `hub` application (note that `app` is a custom label specified when creating the pods in moonlanding): +- get the pods of the `datasets-server-prod-api` application (note that `app` is a custom label specified in the Helm templates): @@ -150 +142 @@ You can also filter by [label](https://kubernetes.io/docs/concepts/overview/work - kubectl get pod -l app==hub + kubectl get pod -l app==datasets-server-prod-api --namespace datasets-server @@ -177,7 +169 @@ dataset-server Active 26h -default Active 24d -gitaly Active 24d -hub Active 24d -kube-node-lease Active 24d -kube-public Active 24d -kube-system Active 24d -repository-scanner Active 9d +... @@ -186,2 +171,0 @@ repository-scanner Active 9d -For now, this project will use the `hub` namespace. The infra team is working to setup a specific namespace for this project. - @@ -192 +176,12 @@ Contexts are useful to set the default namespace, user and cluster we are workin -We can create a local context called `datasets-server-ephemeral` as: +We can create a local context called `hub-prod-with-tb` as: + +``` +$ kubectl config set-context \ + --cluster=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \ + --user=arn:aws:eks:us-east-1:707930574880:cluster/hub-prod \ + --namespace=datasets-server \ + hub-prod-with-tb +Context "hub-prod-with-tb" created. +``` + +or @@ -198,3 +193,10 @@ $ kubectl config set-context \ - --namespace=hub \ - datasets-server-ephemeral -Context "datasets-server-ephemeral" created. + --namespace=datasets-server \ + hub-ephemeral-with-tb +Context "hub-ephemeral-with-tb" created. +``` + +Another way, seen before, is to use: + +```shell +aws eks update-kubeconfig --name "hub-prod" --alias "hub-prod-with-tb" --region us-east-1 --profile=tb +aws eks update-kubeconfig --name "hub-ephemeral" --alias "hub-ephemeral-with-tb" --region us-east-1 --profile=tb @@ -206 +208 @@ We set it as the current context with: -$ kubectl config use-context datasets-server-ephemeral +$ kubectl config use-context hub-ephemeral-with-tb @@ -208 +210 @@ $ kubectl config use-context datasets-server-ephemeral -Switched to context "datasets-server-ephemeral". +Switched to context "hub-ephemeral-with-tb". @@ -215,4 +217,3 @@ $ kubectl config get-contexts -CURRENT NAME CLUSTER AUTHINFO NAMESPACE - arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral hub - arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod -* datasets-server-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral hub +CURRENT NAME CLUSTER AUTHINFO NAMESPACE +* hub-ephemeral-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral arn:aws:eks:us-east-1:707930574880:cluster/hub-ephemeral datasets-server + hub-prod-with-tb arn:aws:eks:us-east-1:707930574880:cluster/hub-prod arn:aws:eks:us-east-1:707930574880:cluster/hub-prod datasets-server
c80de5c3003e299fc790fa542cc5e96d9c5cfc09
Quentin Lhoest
2022-07-27T14:46:40
Stop the count (#481)
diff --git a/chart/docker-images.yaml b/chart/docker-images.yaml index 346e2656..f54d39e4 100644 --- a/chart/docker-images.yaml +++ b/chart/docker-images.yaml @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-3dc7f29" diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py index 04064e96..e46fd111 100644 --- a/services/worker/src/worker/config.py +++ b/services/worker/src/worker/config.py @@ -53,0 +54,2 @@ os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION +# Don't increase the datasets download counts on huggingface.co +os.environ["HF_UPDATE_DOWNLOAD_COUNTS"] = "false"
519cf70758e34e54f0647560f36dc1f2ac395720
Sylvain Lesage
2022-07-26T16:21:58
feat: 🎸 use main instead of master to load datasets (#479)
diff --git a/chart/values.yaml b/chart/values.yaml index c785a32d..1c2d7f86 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -117 +117 @@ worker: - datasetsRevision: "master" + datasetsRevision: "main" @@ -161 +161 @@ worker: - datasetsRevision: "master" + datasetsRevision: "main" @@ -205 +205 @@ worker: - datasetsRevision: "master" + datasetsRevision: "main" @@ -247 +247 @@ worker: - datasetsRevision: "master" + datasetsRevision: "main" diff --git a/services/worker/.env.example b/services/worker/.env.example index 63e8370b..50395533 100644 --- a/services/worker/.env.example +++ b/services/worker/.env.example @@ -8 +8 @@ -# DATASETS_REVISION="master" +# DATASETS_REVISION="main" diff --git a/services/worker/README.md b/services/worker/README.md index 60375e63..dcd67028 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -39 +39 @@ Set environment variables to configure the following aspects: -- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `master`. +- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `main`. diff --git a/services/worker/src/worker/constants.py b/services/worker/src/worker/constants.py index 05d3018e..a37866f8 100644 --- a/services/worker/src/worker/constants.py +++ b/services/worker/src/worker/constants.py @@ -5 +5 @@ DEFAULT_ASSETS_DIRECTORY: None = None -DEFAULT_DATASETS_REVISION: str = "master" +DEFAULT_DATASETS_REVISION: str = "main"
ca2498a5fd6de248c3cea9148d1c54c274a96f98
Sylvain Lesage
2022-07-26T16:12:06
feat: 🎸 add a target (#478)
diff --git a/services/admin/Makefile b/services/admin/Makefile index 8921b252..1d4bddd1 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -44,0 +45,4 @@ refresh-cache-canonical: +.PHONY: refresh-cache-errors +refresh-cache-errors: + poetry run python src/admin/scripts/refresh_cache_errors.py +
c24c268794998b9cc2b08155eae2b0f4144d85e7
Sylvain Lesage
2022-07-26T16:09:30
feat: 🎸 change the format of the error responses (#477)
diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json index 5f21d5b2..369b34ef 100644 --- a/chart/static-files/openapi.json +++ b/chart/static-files/openapi.json @@ -70 +70 @@ - "required": ["status_code", "message"], + "required": ["error"], @@ -72,4 +72 @@ - "status_code": { - "type": "integer" - }, - "message": { + "error": { @@ -91 +88 @@ - "required": ["status_code", "message"], + "required": ["error"], @@ -93,4 +90 @@ - "status_code": { - "type": "integer" - }, - "message": { + "error": { @@ -1893,2 +1887 @@ - "status_code": 400, - "message": "Cannot get the split names for the dataset.", + "error": "Cannot get the split names for the dataset.", @@ -1916,2 +1909 @@ - "status_code": 400, - "message": "Cannot get the split names for the dataset.", + "error": "Cannot get the split names for the dataset.", @@ -1952,2 +1944 @@ - "status_code": 500, - "message": "The list of splits is not ready yet. Please retry later." + "error": "The list of splits is not ready yet. Please retry later." @@ -1959,2 +1950 @@ - "status_code": 500, - "message": "Unexpected error." + "error": "Unexpected error." @@ -2692,2 +2682 @@ - "status_code": 400, - "message": "Cannot load the dataset split (in normal download mode) to extract the first rows.", + "error": "Cannot load the dataset split (in normal download mode) to extract the first rows.", @@ -2733,2 +2722 @@ - "status_code": 400, - "message": "Cannot load the dataset split (in normal download mode) to extract the first rows.", + "error": "Cannot load the dataset split (in normal download mode) to extract the first rows.", @@ -2806,2 +2794 @@ - "status_code": 500, - "message": "The list of the first rows is not ready yet. Please retry later." + "error": "The list of the first rows is not ready yet. Please retry later." @@ -2813,2 +2800 @@ - "status_code": 500, - "message": "Unexpected error." + "error": "Unexpected error." diff --git a/e2e/tests/test_api.py b/e2e/tests/test_api.py index d604aaa6..188bf158 100644 --- a/e2e/tests/test_api.py +++ b/e2e/tests/test_api.py @@ -11 +11,3 @@ URL = f"http://localhost:{SERVICE_REVERSE_PROXY_PORT}" -def poll_until_valid_response(url: str, timeout: int = 15, interval: int = 1) -> requests.Response: +def poll_until_valid_response( + url: str, timeout: int = 15, interval: int = 1, error_field: str = "error" +) -> requests.Response: @@ -23 +25 @@ def poll_until_valid_response(url: str, timeout: int = 15, interval: int = 1) -> - should_retry = "retry" in response.json()["message"].lower() + should_retry = "retry" in response.json()[error_field].lower() @@ -34 +36 @@ def poll_splits_until_dataset_process_has_finished( - dataset: str, endpoint: str = "splits", timeout: int = 15, interval: int = 1 + dataset: str, endpoint: str = "splits", timeout: int = 15, interval: int = 1, error_field: str = "error" @@ -36 +38 @@ def poll_splits_until_dataset_process_has_finished( - return poll_until_valid_response(f"{URL}/{endpoint}?dataset={dataset}", timeout, interval) + return poll_until_valid_response(f"{URL}/{endpoint}?dataset={dataset}", timeout, interval, error_field) @@ -40 +42,7 @@ def poll_rows_until_split_process_has_finished( - dataset: str, config: str, split: str, endpoint: str = "splits", timeout: int = 15, interval: int = 1 + dataset: str, + config: str, + split: str, + endpoint: str = "splits", + timeout: int = 15, + interval: int = 1, + error_field: str = "error", @@ -43 +51 @@ def poll_rows_until_split_process_has_finished( - f"{URL}/{endpoint}?dataset={dataset}&config={config}&split={split}", timeout, interval + f"{URL}/{endpoint}?dataset={dataset}&config={config}&split={split}", timeout, interval, error_field @@ -72 +80 @@ def test_get_dataset(): - response = poll_splits_until_dataset_process_has_finished(dataset, "splits", 60) + response = poll_splits_until_dataset_process_has_finished(dataset, "splits", 60, error_field="message") @@ -76 +84 @@ def test_get_dataset(): - response = poll_rows_until_split_process_has_finished(dataset, config, split, "rows", 60) + response = poll_rows_until_split_process_has_finished(dataset, config, split, "rows", 60, error_field="message") diff --git a/libs/libcache/dist/libcache-0.1.14-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.14-py3-none-any.whl new file mode 100644 index 00000000..4ec0d94f Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.14-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.14.tar.gz b/libs/libcache/dist/libcache-0.1.14.tar.gz new file mode 100644 index 00000000..757c0d20 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.14.tar.gz differ diff --git a/libs/libcache/dist/libcache-0.1.15-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.15-py3-none-any.whl new file mode 100644 index 00000000..582aa370 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.15-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.15.tar.gz b/libs/libcache/dist/libcache-0.1.15.tar.gz new file mode 100644 index 00000000..5f4a5fdd Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.15.tar.gz differ diff --git a/libs/libcache/dist/libcache-0.1.16-py3-none-any.whl b/libs/libcache/dist/libcache-0.1.16-py3-none-any.whl new file mode 100644 index 00000000..b66cf200 Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.16-py3-none-any.whl differ diff --git a/libs/libcache/dist/libcache-0.1.16.tar.gz b/libs/libcache/dist/libcache-0.1.16.tar.gz new file mode 100644 index 00000000..40cb457a Binary files /dev/null and b/libs/libcache/dist/libcache-0.1.16.tar.gz differ diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index e3d16c1c..ddaa7934 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -400 +400 @@ name = "libutils" -version = "0.1.4" +version = "0.1.5" @@ -413 +413 @@ type = "file" -url = "../libutils/dist/libutils-0.1.4-py3-none-any.whl" +url = "../libutils/dist/libutils-0.1.5-py3-none-any.whl" @@ -1046 +1046 @@ python-versions = "3.9.6" -content-hash = "b45e654e62ce957eb711db3133609c1f20efff1f52eeae20293f2269d31d5389" +content-hash = "68b6e1e446c319b5636f7f8f7d47ded0d48676af40e149edc2e24b4bce756b18" @@ -1217 +1217 @@ libutils = [ - {file = "libutils-0.1.4-py3-none-any.whl", hash = "sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952"}, + {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, diff --git a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml index b35ce55f..7b9308e4 100644 --- a/libs/libcache/pyproject.toml +++ b/libs/libcache/pyproject.toml @@ -5 +5 @@ name = "libcache" -version = "0.1.13" +version = "0.1.16" @@ -19 +19 @@ isort = "^5.9.3" -libutils = { path = "../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } diff --git a/libs/libcache/src/libcache/simple_cache.py b/libs/libcache/src/libcache/simple_cache.py index 90612f98..1b29c9b1 100644 --- a/libs/libcache/src/libcache/simple_cache.py +++ b/libs/libcache/src/libcache/simple_cache.py @@ -229,0 +230,15 @@ def get_first_rows_responses_count_by_status() -> CountByHTTPStatus: +# for scripts + + +def get_datasets_with_some_error() -> List[str]: + # - the /splits response is invalid + candidate_dataset_names = set(SplitsResponse.objects(http_status__ne=HTTPStatus.OK).distinct("dataset_name")) + # - or one of the /first-rows responses is invalid + candidate_dataset_names_in_first_rows = set( + FirstRowsResponse.objects(http_status__ne=HTTPStatus.OK).distinct("dataset_name") + ) + + # note that the list is sorted alphabetically for consistency + return sorted(candidate_dataset_names.union(candidate_dataset_names_in_first_rows)) + + @@ -258 +273 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro - if "message" not in object.response: + if "error" not in object.response: @@ -260 +275 @@ def get_error(object: Union[SplitsResponse, FirstRowsResponse]) -> Optional[Erro - report: ErrorReport = {"message": object.response["message"]} + report: ErrorReport = {"message": object.response["error"]} diff --git a/libs/libcache/tests/test_simple_cache.py b/libs/libcache/tests/test_simple_cache.py index 70dcea4f..cd6e29a2 100644 --- a/libs/libcache/tests/test_simple_cache.py +++ b/libs/libcache/tests/test_simple_cache.py @@ -10,0 +11 @@ from libcache.simple_cache import ( + get_datasets_with_some_error, @@ -114,0 +116 @@ def test_valid() -> None: + assert get_datasets_with_some_error() == [] @@ -122,0 +125 @@ def test_valid() -> None: + assert get_datasets_with_some_error() == [] @@ -134,0 +138 @@ def test_valid() -> None: + assert get_datasets_with_some_error() == [] @@ -142,0 +147 @@ def test_valid() -> None: + assert get_datasets_with_some_error() == [] @@ -154,0 +160 @@ def test_valid() -> None: + assert get_datasets_with_some_error() == ["test_dataset2"] @@ -166,0 +173,10 @@ def test_valid() -> None: + assert get_datasets_with_some_error() == ["test_dataset2"] + + upsert_splits_response( + "test_dataset3", + {"key": "value"}, + HTTPStatus.BAD_REQUEST, + ) + + assert get_valid_dataset_names() == ["test_dataset", "test_dataset2"] + assert get_datasets_with_some_error() == ["test_dataset2", "test_dataset3"] @@ -204,2 +220 @@ def test_reports() -> None: - "status_code": 400, - "message": "Cannot get the split names for the dataset.", + "error": "Cannot get the split names for the dataset.", @@ -235,2 +250 @@ def test_reports() -> None: - "status_code": 500, - "message": "cannot write mode RGBA as JPEG", + "error": "cannot write mode RGBA as JPEG", diff --git a/libs/libutils/dist/libutils-0.1.5-py3-none-any.whl b/libs/libutils/dist/libutils-0.1.5-py3-none-any.whl new file mode 100644 index 00000000..1ef97238 Binary files /dev/null and b/libs/libutils/dist/libutils-0.1.5-py3-none-any.whl differ diff --git a/libs/libutils/dist/libutils-0.1.5.tar.gz b/libs/libutils/dist/libutils-0.1.5.tar.gz new file mode 100644 index 00000000..0cf0f36f Binary files /dev/null and b/libs/libutils/dist/libutils-0.1.5.tar.gz differ diff --git a/libs/libutils/pyproject.toml b/libs/libutils/pyproject.toml index 905da8a2..13676622 100644 --- a/libs/libutils/pyproject.toml +++ b/libs/libutils/pyproject.toml @@ -5 +5 @@ name = "libutils" -version = "0.1.4" +version = "0.1.5" diff --git a/libs/libutils/src/libutils/exceptions.py b/libs/libutils/src/libutils/exceptions.py index d46ce36e..84425919 100644 --- a/libs/libutils/src/libutils/exceptions.py +++ b/libs/libutils/src/libutils/exceptions.py @@ -16,2 +16 @@ class Status400ErrorResponse(TypedDict): - status_code: int - message: str + error: str @@ -24,2 +23 @@ class Status500ErrorResponse(TypedDict): - status_code: int - message: str + error: str @@ -70,2 +68 @@ class Status400Error(StatusError): - "status_code": self.status_code, - "message": self.message, + "error": self.message, @@ -91,2 +88 @@ class Status500Error(StatusError): - "status_code": self.status_code, - "message": self.message, + "error": self.message, diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index ba894246..c98809e5 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -456 +456 @@ name = "libcache" -version = "0.1.13" +version = "0.1.16" @@ -470 +470 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl" @@ -491 +491 @@ name = "libutils" -version = "0.1.4" +version = "0.1.5" @@ -504 +504 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl" @@ -1201 +1201 @@ python-versions = "3.9.6" -content-hash = "cc0c0464697e5587964afd0f8ef0d208376dc2b16c71e2a9abfc54f71ebb5f19" +content-hash = "5bbeeb7ed416503fb906a8fb5f9a430764f97f03f9749ab239a121f3c53c260e" @@ -1471 +1471 @@ libcache = [ - {file = "libcache-0.1.13-py3-none-any.whl", hash = "sha256:14595ef4c75207f51f999c8473e43831dbe2c1567b775bf043aa86974e76aed1"}, + {file = "libcache-0.1.16-py3-none-any.whl", hash = "sha256:d0c8606cbc4b3c703e0ebe51a1cd6774c11a85ab893360ff0900fb16c2e7634d"}, @@ -1477 +1477 @@ libutils = [ - {file = "libutils-0.1.4-py3-none-any.whl", hash = "sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952"}, + {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index d39ee440..c4867483 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -9 +9 @@ huggingface-hub = "^0.6.0" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.16-py3-none-any.whl", develop = false } @@ -11 +11 @@ libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", -libutils = { path = "../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index d46ca43a..1f931b80 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -4 +3,0 @@ from typing import List -from dotenv import load_dotenv @@ -11,3 +9,0 @@ from admin.config import LOG_LEVEL, MONGO_QUEUE_DATABASE, MONGO_URL -# Load environment variables defined in .env, if any -load_dotenv() - diff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py index 42d87761..821caeaf 100644 --- a/services/admin/src/admin/scripts/refresh_cache_canonical.py +++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py @@ -3 +2,0 @@ import logging -from dotenv import load_dotenv @@ -10,3 +8,0 @@ from admin.scripts.refresh_cache import refresh_datasets_cache -# Load environment variables defined in .env, if any -load_dotenv() - diff --git a/services/admin/src/admin/scripts/refresh_cache_errors.py b/services/admin/src/admin/scripts/refresh_cache_errors.py new file mode 100644 index 00000000..e4be08b3 --- /dev/null +++ b/services/admin/src/admin/scripts/refresh_cache_errors.py @@ -0,0 +1,14 @@ +import logging + +from libcache.simple_cache import connect_to_cache, get_datasets_with_some_error +from libutils.logger import init_logger + +from admin.config import LOG_LEVEL, MONGO_CACHE_DATABASE, MONGO_URL +from admin.scripts.refresh_cache import refresh_datasets_cache + +if __name__ == "__main__": + init_logger(LOG_LEVEL, "refresh_cache_canonical") + logger = logging.getLogger("refresh_cache_canonical") + connect_to_cache(MONGO_CACHE_DATABASE, MONGO_URL) + refresh_datasets_cache(get_datasets_with_some_error()) + logger.info("all the datasets with some error in the cache have been added to the queue to be refreshed") diff --git a/services/admin/src/admin/scripts/warm_cache.py b/services/admin/src/admin/scripts/warm_cache.py index c24b6b12..d0e2e127 100644 --- a/services/admin/src/admin/scripts/warm_cache.py +++ b/services/admin/src/admin/scripts/warm_cache.py @@ -4 +3,0 @@ from typing import List -from dotenv import load_dotenv @@ -21,3 +19,0 @@ from admin.config import ( -# Load environment variables defined in .env, if any -load_dotenv() - diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 3f43c0ab..6cdbb7c7 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -455 +455 @@ name = "libcache" -version = "0.1.13" +version = "0.1.14" @@ -469 +469 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl" @@ -490 +490 @@ name = "libutils" -version = "0.1.4" +version = "0.1.5" @@ -503 +503 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl" @@ -1200 +1200 @@ python-versions = "3.9.6" -content-hash = "d4be102f2a8409c78e84c7b8923669e16c36ea51b2c90796f0df95f67e576855" +content-hash = "895ca8658ef15a1dfd6f107f94b756232ed37ffdbd90894abf0404c2d9273605" @@ -1470 +1470 @@ libcache = [ - {file = "libcache-0.1.13-py3-none-any.whl", hash = "sha256:14595ef4c75207f51f999c8473e43831dbe2c1567b775bf043aa86974e76aed1"}, + {file = "libcache-0.1.14-py3-none-any.whl", hash = "sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5"}, @@ -1476 +1476 @@ libutils = [ - {file = "libutils-0.1.4-py3-none-any.whl", hash = "sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952"}, + {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 36846bdd..5e49d1b6 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -9 +9 @@ huggingface-hub = "^0.5.1" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.13-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl", develop = false } @@ -11 +11 @@ libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", -libutils = { path = "../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 45e45e18..35c8b93a 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -261 +261 @@ def test_splits_cache_refreshing(client: TestClient) -> None: - assert response.json()["message"] == "Not found." + assert response.json()["error"] == "Not found." @@ -266 +266 @@ def test_splits_cache_refreshing(client: TestClient) -> None: - assert response.json()["message"] == "The list of splits is not ready yet. Please retry later." + assert response.json()["error"] == "The list of splits is not ready yet. Please retry later." @@ -279 +279 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None: - assert response.json()["message"] == "Not found." + assert response.json()["error"] == "Not found." @@ -284 +284 @@ def test_first_rows_cache_refreshing(client: TestClient) -> None: - assert response.json()["message"] == "The list of the first rows is not ready yet. Please retry later." + assert response.json()["error"] == "The list of the first rows is not ready yet. Please retry later." diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index c17868d3..a85e5c8b 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -434 +434 @@ torch = ["torch"] -tests = ["importlib-resources", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] +tests = ["importlib-resources", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[server,s3] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] @@ -440 +440 @@ docs = ["s3fs"] -dev = ["importlib-resources", "pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] +dev = ["importlib-resources", "pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[server,s3] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] @@ -968 +968 @@ name = "libcache" -version = "0.1.12" +version = "0.1.14" @@ -982 +982 @@ type = "file" -url = "../../libs/libcache/dist/libcache-0.1.12-py3-none-any.whl" +url = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl" @@ -1037 +1037 @@ name = "libutils" -version = "0.1.4" +version = "0.1.5" @@ -1050 +1050 @@ type = "file" -url = "../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl" +url = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl" @@ -2532 +2532 @@ python-versions = "3.9.6" -content-hash = "7d206c1eea9a8903b226f7d7339293781c1b4c18557239fce1cd921a7bb2cdbe" +content-hash = "98bda989cbdc2c286d9519efcd519a96853892e08ac038db846adcd242efb1b1" @@ -3332 +3332 @@ libcache = [ - {file = "libcache-0.1.12-py3-none-any.whl", hash = "sha256:67b13eaf7e2fd98a9d52a72acd5d8e8a9b4943416b1a6b66bfd2ea9a921f4e60"}, + {file = "libcache-0.1.14-py3-none-any.whl", hash = "sha256:ceeb8b8bdd801de64aad06c2a4bad77f99c647dfd381a3cf989fedd076b036d5"}, @@ -3351 +3351 @@ libutils = [ - {file = "libutils-0.1.4-py3-none-any.whl", hash = "sha256:d695e4e8e2d6bbc7bac832dce6493f350783701ecdc2e2c72cd7232d15067952"}, + {file = "libutils-0.1.5-py3-none-any.whl", hash = "sha256:c7b2db87d0b8f5c29a4634e478a5724efc5a100f0f03ec0bdeb9b2d7048b87a9"}, diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index d317693f..9a77ea5e 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -18 +18 @@ kss = "^2.6.0" -libcache = { path = "../../libs/libcache/dist/libcache-0.1.12-py3-none-any.whl", develop = false } +libcache = { path = "../../libs/libcache/dist/libcache-0.1.14-py3-none-any.whl", develop = false } @@ -20 +20 @@ libqueue = { path = "../../libs/libqueue/dist/libqueue-0.1.9-py3-none-any.whl", -libutils = { path = "../../libs/libutils/dist/libutils-0.1.4-py3-none-any.whl", develop = false } +libutils = { path = "../../libs/libutils/dist/libutils-0.1.5-py3-none-any.whl", develop = false } diff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py index ba1b5511..485c7faa 100644 --- a/services/worker/tests/test_refresh.py +++ b/services/worker/tests/test_refresh.py @@ -59,2 +59 @@ def test_doesnotexist() -> None: - assert response["status_code"] == 400 - assert response["message"] == "Cannot get the split names for the dataset." + assert response["error"] == "Cannot get the split names for the dataset."
150254d346e4bec741f2f3ed21644d7e3d05125d
Sylvain Lesage
2022-07-26T15:07:59
chore: 🤖 move /infra/charts/datasets-server to /chart (#476)
diff --git a/.github/workflows/infra.yml b/.github/workflows/chart.yml similarity index 60% rename from .github/workflows/infra.yml rename to .github/workflows/chart.yml index 2543381d..fbc2b664 100644 --- a/.github/workflows/infra.yml +++ b/.github/workflows/chart.yml @@ -1 +1 @@ -name: infra +name: chart @@ -6,2 +6,2 @@ on: - - 'infra/charts/datasets-server/**' - - '.github/workflows/infra.yml' + - 'chart/**' + - '.github/workflows/chart.yml' @@ -16 +16 @@ jobs: - working-directory: infra/charts/datasets-server + working-directory: chart diff --git a/.github/workflows/e2e.yml b/.github/workflows/e2e.yml index 1625880e..5eda27b3 100644 --- a/.github/workflows/e2e.yml +++ b/.github/workflows/e2e.yml @@ -7 +7 @@ on: - - 'infra/charts/datasets-server/docker-images.yaml' + - 'chart/docker-images.yaml' @@ -21 +21 @@ jobs: - config-file: infra/charts/datasets-server/docker-images.yaml + config-file: chart/docker-images.yaml diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index b614be96..5ee9d20d 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -72 +72 @@ We don't change the version of the libraries and services in `pyproject.toml`, b -- increment the version (that we increment accordingly to the change: major/minor/bugfix) in the `appVersion` parameter of the [Helm chart](./infra/charts/datasets-server/Chart.yaml) +- increment the version (that we increment accordingly to the change: major/minor/bugfix) in the `appVersion` parameter of the [Helm chart](./chart/Chart.yaml) diff --git a/Makefile b/Makefile index 4398c265..1dfc4331 100644 --- a/Makefile +++ b/Makefile @@ -16 +16 @@ REMOTE_IMAGES_DOCKER_COMPOSE := ./tools/docker-compose-datasets-server-from-remo -DOCKER_IMAGES := ./infra/charts/datasets-server/docker-images.yaml +DOCKER_IMAGES := ./chart/docker-images.yaml @@ -71 +71 @@ quality: - $(MAKE) -C infra/charts/datasets-server/ quality + $(MAKE) -C chart/ quality diff --git a/infra/charts/datasets-server/.gitignore b/chart/.gitignore similarity index 100% rename from infra/charts/datasets-server/.gitignore rename to chart/.gitignore diff --git a/infra/charts/datasets-server/.helmignore b/chart/.helmignore similarity index 100% rename from infra/charts/datasets-server/.helmignore rename to chart/.helmignore diff --git a/infra/charts/datasets-server/Chart.lock b/chart/Chart.lock similarity index 100% rename from infra/charts/datasets-server/Chart.lock rename to chart/Chart.lock diff --git a/infra/charts/datasets-server/Chart.yaml b/chart/Chart.yaml similarity index 100% rename from infra/charts/datasets-server/Chart.yaml rename to chart/Chart.yaml diff --git a/infra/charts/datasets-server/Makefile b/chart/Makefile similarity index 100% rename from infra/charts/datasets-server/Makefile rename to chart/Makefile diff --git a/chart/README.md b/chart/README.md new file mode 100644 index 00000000..490bd757 --- /dev/null +++ b/chart/README.md @@ -0,0 +1,37 @@ +# datasets-server Helm chart + +The `datasets-server` Helm [chart](https://helm.sh/docs/topics/charts/) describes the Kubernetes resources of the datasets-server application. + +See the [helm.md](../docs_to_notion/helm.md) for some documentation about Helm and the Charts. + +The cloud infrastructure for the datasets-server uses: + +- Amazon ECR to store the docker images of the datasets-server services. See [docs/docker.md](../docs_to_notion/docker.md). +- Amazon EKS for the Kubernetes clusters. See [docs/kubernetes.md](../docs_to_notion/kubernetes.md). + +Note that this Helm chart is used to manage the deployment of the `datasets-server` services to the cloud infrastructure (AWS) using Kubernetes. The infrastructure in itself is not created here, but in https://github.com/huggingface/infra/ using terraform. If you need to create or modify some resources, contact the infra team. + +You might also be interested in reading the doc for [moon-landing](https://github.com/huggingface/moon-landing/blob/main/infra/hub/README.md). + +## Deploy + +To deploy to the `hub-ephemeral` Kubernetes cluster, ensure to first: + +- install the [tools](../docs_to_notion/tools.md) +- [authenticate with AWS](../docs_to_notion/authentication.md) +- [select the `hub-ephemeral` cluster](../docs_to_notion/kubernetes.md#cluster) + +Set the SHA of the last commit in [values.yaml](./values.yaml). It allows to select the adequate docker images in the ECR repositories (see the last build images at https://github.com/huggingface/datasets-server/actions/workflows/docker.yml). + +Dry run: + +```shell +make init +make diff-dev +``` + +Deploy: + +```shell +make upgrade-dev +``` diff --git a/infra/charts/datasets-server/docker-images.yaml b/chart/docker-images.yaml similarity index 100% rename from infra/charts/datasets-server/docker-images.yaml rename to chart/docker-images.yaml diff --git a/infra/charts/datasets-server/env/dev.yaml b/chart/env/dev.yaml similarity index 100% rename from infra/charts/datasets-server/env/dev.yaml rename to chart/env/dev.yaml diff --git a/infra/charts/datasets-server/env/prod.yaml b/chart/env/prod.yaml similarity index 100% rename from infra/charts/datasets-server/env/prod.yaml rename to chart/env/prod.yaml diff --git a/infra/charts/datasets-server/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template similarity index 100% rename from infra/charts/datasets-server/nginx-templates/default.conf.template rename to chart/nginx-templates/default.conf.template diff --git a/infra/charts/datasets-server/static-files/openapi.json b/chart/static-files/openapi.json similarity index 100% rename from infra/charts/datasets-server/static-files/openapi.json rename to chart/static-files/openapi.json diff --git a/infra/charts/datasets-server/templates/_helpers.tpl b/chart/templates/_helpers.tpl similarity index 100% rename from infra/charts/datasets-server/templates/_helpers.tpl rename to chart/templates/_helpers.tpl diff --git a/infra/charts/datasets-server/templates/_initContainerAssets.tpl b/chart/templates/_initContainerAssets.tpl similarity index 100% rename from infra/charts/datasets-server/templates/_initContainerAssets.tpl rename to chart/templates/_initContainerAssets.tpl diff --git a/infra/charts/datasets-server/templates/_initContainerCache.tpl b/chart/templates/_initContainerCache.tpl similarity index 100% rename from infra/charts/datasets-server/templates/_initContainerCache.tpl rename to chart/templates/_initContainerCache.tpl diff --git a/infra/charts/datasets-server/templates/_initContainerNumbaCache.tpl b/chart/templates/_initContainerNumbaCache.tpl similarity index 100% rename from infra/charts/datasets-server/templates/_initContainerNumbaCache.tpl rename to chart/templates/_initContainerNumbaCache.tpl diff --git a/infra/charts/datasets-server/templates/admin/_container.tpl b/chart/templates/admin/_container.tpl similarity index 100% rename from infra/charts/datasets-server/templates/admin/_container.tpl rename to chart/templates/admin/_container.tpl diff --git a/infra/charts/datasets-server/templates/admin/deployment.yaml b/chart/templates/admin/deployment.yaml similarity index 100% rename from infra/charts/datasets-server/templates/admin/deployment.yaml rename to chart/templates/admin/deployment.yaml diff --git a/infra/charts/datasets-server/templates/admin/service.yaml b/chart/templates/admin/service.yaml similarity index 100% rename from infra/charts/datasets-server/templates/admin/service.yaml rename to chart/templates/admin/service.yaml diff --git a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml b/chart/templates/admin/servicemonitor.yaml similarity index 100% rename from infra/charts/datasets-server/templates/admin/servicemonitor.yaml rename to chart/templates/admin/servicemonitor.yaml diff --git a/infra/charts/datasets-server/templates/api/_container.tpl b/chart/templates/api/_container.tpl similarity index 100% rename from infra/charts/datasets-server/templates/api/_container.tpl rename to chart/templates/api/_container.tpl diff --git a/infra/charts/datasets-server/templates/api/deployment.yaml b/chart/templates/api/deployment.yaml similarity index 100% rename from infra/charts/datasets-server/templates/api/deployment.yaml rename to chart/templates/api/deployment.yaml diff --git a/infra/charts/datasets-server/templates/api/service.yaml b/chart/templates/api/service.yaml similarity index 100% rename from infra/charts/datasets-server/templates/api/service.yaml rename to chart/templates/api/service.yaml diff --git a/infra/charts/datasets-server/templates/api/servicemonitor.yaml b/chart/templates/api/servicemonitor.yaml similarity index 100% rename from infra/charts/datasets-server/templates/api/servicemonitor.yaml rename to chart/templates/api/servicemonitor.yaml diff --git a/infra/charts/datasets-server/templates/ingress.yaml b/chart/templates/ingress.yaml similarity index 100% rename from infra/charts/datasets-server/templates/ingress.yaml rename to chart/templates/ingress.yaml diff --git a/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl similarity index 100% rename from infra/charts/datasets-server/templates/reverse-proxy/_container.tpl rename to chart/templates/reverse-proxy/_container.tpl diff --git a/infra/charts/datasets-server/templates/reverse-proxy/configMap.yaml b/chart/templates/reverse-proxy/configMap.yaml similarity index 100% rename from infra/charts/datasets-server/templates/reverse-proxy/configMap.yaml rename to chart/templates/reverse-proxy/configMap.yaml diff --git a/infra/charts/datasets-server/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml similarity index 100% rename from infra/charts/datasets-server/templates/reverse-proxy/deployment.yaml rename to chart/templates/reverse-proxy/deployment.yaml diff --git a/infra/charts/datasets-server/templates/reverse-proxy/service.yaml b/chart/templates/reverse-proxy/service.yaml similarity index 100% rename from infra/charts/datasets-server/templates/reverse-proxy/service.yaml rename to chart/templates/reverse-proxy/service.yaml diff --git a/infra/charts/datasets-server/templates/worker/datasets/_container.tpl b/chart/templates/worker/datasets/_container.tpl similarity index 100% rename from infra/charts/datasets-server/templates/worker/datasets/_container.tpl rename to chart/templates/worker/datasets/_container.tpl diff --git a/infra/charts/datasets-server/templates/worker/datasets/deployment.yaml b/chart/templates/worker/datasets/deployment.yaml similarity index 100% rename from infra/charts/datasets-server/templates/worker/datasets/deployment.yaml rename to chart/templates/worker/datasets/deployment.yaml diff --git a/infra/charts/datasets-server/templates/worker/first-rows/_container.tpl b/chart/templates/worker/first-rows/_container.tpl similarity index 100% rename from infra/charts/datasets-server/templates/worker/first-rows/_container.tpl rename to chart/templates/worker/first-rows/_container.tpl diff --git a/infra/charts/datasets-server/templates/worker/first-rows/deployment.yaml b/chart/templates/worker/first-rows/deployment.yaml similarity index 100% rename from infra/charts/datasets-server/templates/worker/first-rows/deployment.yaml rename to chart/templates/worker/first-rows/deployment.yaml diff --git a/infra/charts/datasets-server/templates/worker/splits-next/_container.tpl b/chart/templates/worker/splits-next/_container.tpl similarity index 100% rename from infra/charts/datasets-server/templates/worker/splits-next/_container.tpl rename to chart/templates/worker/splits-next/_container.tpl diff --git a/infra/charts/datasets-server/templates/worker/splits-next/deployment.yaml b/chart/templates/worker/splits-next/deployment.yaml similarity index 100% rename from infra/charts/datasets-server/templates/worker/splits-next/deployment.yaml rename to chart/templates/worker/splits-next/deployment.yaml diff --git a/infra/charts/datasets-server/templates/worker/splits/_container.tpl b/chart/templates/worker/splits/_container.tpl similarity index 100% rename from infra/charts/datasets-server/templates/worker/splits/_container.tpl rename to chart/templates/worker/splits/_container.tpl diff --git a/infra/charts/datasets-server/templates/worker/splits/deployment.yaml b/chart/templates/worker/splits/deployment.yaml similarity index 100% rename from infra/charts/datasets-server/templates/worker/splits/deployment.yaml rename to chart/templates/worker/splits/deployment.yaml diff --git a/infra/charts/datasets-server/values.yaml b/chart/values.yaml similarity index 100% rename from infra/charts/datasets-server/values.yaml rename to chart/values.yaml diff --git a/infra/docs/authentication.md b/docs_to_notion/authentication.md similarity index 100% rename from infra/docs/authentication.md rename to docs_to_notion/authentication.md diff --git a/infra/docs/docker.md b/docs_to_notion/docker.md similarity index 100% rename from infra/docs/docker.md rename to docs_to_notion/docker.md diff --git a/infra/docs/helm.md b/docs_to_notion/helm.md similarity index 100% rename from infra/docs/helm.md rename to docs_to_notion/helm.md diff --git a/infra/docs/kubernetes.md b/docs_to_notion/kubernetes.md similarity index 100% rename from infra/docs/kubernetes.md rename to docs_to_notion/kubernetes.md diff --git a/infra/docs/tools.md b/docs_to_notion/tools.md similarity index 100% rename from infra/docs/tools.md rename to docs_to_notion/tools.md diff --git a/e2e/Makefile b/e2e/Makefile index 333d081e..c35079a0 100644 --- a/e2e/Makefile +++ b/e2e/Makefile @@ -11 +11 @@ TEST_DOCKER_COMPOSE := ../tools/docker-compose-datasets-server-from-remote-image -DOCKER_IMAGES := ../infra/charts/datasets-server/docker-images.yaml +DOCKER_IMAGES := ../chart/docker-images.yaml diff --git a/infra/README.md b/infra/README.md deleted file mode 100644 index 615e9afd..00000000 --- a/infra/README.md +++ /dev/null @@ -1,22 +0,0 @@ -# Infra - -## Description - -The cloud infrastructure for the datasets-server uses: - -- Amazon ECR to store the docker images of the datasets-server services. See [docs/docker.md](./docs/docker.md). -- Amazon EKS for the Kubernetes clusters. See [docs/kubernetes.md](./docs/kubernetes.md). - -Before starting, ensure to: - -- [install the tools](./docs/tools.md) -- [setup the AWS CLI profile](./docs/authentication.md) - -Note that this directory (`infra/`) is used to manage the deployment of the `datasets-server` services to the cloud infrastructure (AWS) using Kubernetes. The infrastructure in itself is not created here, but in https://github.com/huggingface/infra/ using terraform. If you need to create or modify some resources, contact the infra team. - -The subdirectories are: - -- [docs/](./docs/): documentation -- [charts](./charts): the kubernetes configurations, packaged as [Helm charts](https://helm.sh/docs/topics/charts/). - -All the docs are located in [docs/](./docs). You might also be interested in reading the doc for [moon-landing](https://github.com/huggingface/moon-landing/blob/main/infra/hub/README.md). diff --git a/infra/charts/datasets-server/README.md b/infra/charts/datasets-server/README.md deleted file mode 100644 index 6a78d325..00000000 --- a/infra/charts/datasets-server/README.md +++ /dev/null @@ -1,28 +0,0 @@ -# datasets-server Helm chart - -The `datasets-server` Helm [chart](https://helm.sh/docs/topics/charts/) describes the Kubernetes resources of the datasets-server application. - -See the [helm.md](../../docs/helm.md) for some documentation about Helm and the Charts. - -## Deploy - -To deploy to the `hub-ephemeral` Kubernetes cluster, ensure to first: - -- install the [tools](../../docs/tools.md) -- [authenticate with AWS](../../docs/authentication.md) -- [select the `hub-ephemeral` cluster](../../docs/kubernetes.md#cluster) - -Set the SHA of the last commit in [values.yaml](./values.yaml). It allows to select the adequate docker images in the ECR repositories (see the last build images at https://github.com/huggingface/datasets-server/actions/workflows/docker.yml). - -Dry run: - -```shell -make init -make diff-dev -``` - -Deploy: - -```shell -make upgrade-dev -``` diff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md index d9c9f119..7aad713d 100644 --- a/services/reverse-proxy/README.md +++ b/services/reverse-proxy/README.md @@ -7 +7 @@ See [docker-compose.yml](../../docker-compose.yml) for usage. -Note that the template configuration is located in [infra/charts/datasets-server/nginx-templates/](../../infra/charts/datasets-server/nginx-templates/) in order to be reachable by the Helm chart to deploy on Kubernetes. +Note that the template configuration is located in [chart/nginx-templates/](../../chart/nginx-templates/) in order to be reachable by the Helm chart to deploy on Kubernetes. diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index 95d94dce..62ecad1a 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -6 +6 @@ services: - - ../infra/charts/datasets-server/nginx-templates/:/etc/nginx/templates:ro + - ../chart/nginx-templates/:/etc/nginx/templates:ro @@ -9 +9 @@ services: - - ../infra/charts/datasets-server/static-files/openapi.json:/static-files/openapi.json:ro + - ../chart/static-files/openapi.json:/static-files/openapi.json:ro diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index d6e8670c..1eb1f240 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -6 +6 @@ services: - - ../infra/charts/datasets-server/nginx-templates/:/etc/nginx/templates:ro + - ../chart/nginx-templates/:/etc/nginx/templates:ro @@ -9 +9 @@ services: - - ../infra/charts/datasets-server/static-files/openapi.json:/static-files/openapi.json:ro + - ../chart/static-files/openapi.json:/static-files/openapi.json:ro
fd0f2efaded8c77b112f178c01e8b25f5c592a9a
Sylvain Lesage
2022-07-25T20:50:27
feat: 🎸 fix the servicemonitor url (#472)
diff --git a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml index 7f78297a..234943ac 100644 --- a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml +++ b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml @@ -11 +11 @@ spec: - - path: /admin/metrics + - path: /metrics
fdb8086779f0aa41a7a5423ad1ddc6a0f00d8624
Sylvain Lesage
2022-07-25T20:48:43
fix: 🐛 fix target name (#471)
diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml index ebf862d3..346e2656 100644 --- a/infra/charts/datasets-server/docker-images.yaml +++ b/infra/charts/datasets-server/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-3111a16", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-abd00fe", diff --git a/services/admin/Makefile b/services/admin/Makefile index f7f42880..8921b252 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -42 +42 @@ refresh-cache: -refresh-cache: +refresh-cache-canonical:
5a118e565f613134c98f49f94adde5f7e89415d0
Sylvain Lesage
2022-07-25T20:38:06
feat: 🎸 upgrade datasets to 2.4.0 (#470)
diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml index 0a8e6e9b..ebf862d3 100644 --- a/infra/charts/datasets-server/docker-images.yaml +++ b/infra/charts/datasets-server/docker-images.yaml @@ -7,4 +7,4 @@ - "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066", - "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066", - "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066", - "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-52a3066" + "datasets": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb", + "firstRows": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb", + "splits": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb", + "splitsNext": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-worker:sha-8c0fdbb" diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index ab88e537..c17868d3 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -408,2 +408,2 @@ name = "datasets" -version = "2.3.3.dev0" -description = "" +version = "2.4.0" +description = "HuggingFace community-driven open-source library of datasets" @@ -413 +412,0 @@ python-versions = "*" -develop = false @@ -418 +417 @@ dill = "<0.3.6" -fsspec = {version = ">=2021.05.0", extras = ["http"]} +fsspec = {version = ">=2021.11.1", extras = ["http"]} @@ -433 +431,0 @@ xxhash = "*" -audio = ["librosa"] @@ -435,3 +432,0 @@ vision = ["Pillow (>=6.2.1)"] -apache-beam = ["apache-beam (>=2.26.0)"] -tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"] -tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] @@ -439,4 +434,5 @@ torch = ["torch"] -s3 = ["fsspec", "boto3", "botocore", "s3fs"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore (==1.4.2)", "boto3 (==1.17.106)", "botocore (==1.20.106)", "faiss-cpu (>=1.6.4)", "fsspec", "moto[server,s3] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "soundfile", "transformers", "bs4", "conllu", "h5py", "langdetect", "lxml", "lz4", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bigbench", "sentencepiece", "sacremoses", "bert_score (>=0.3.6)", "jiwer", "mauve-text", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "toml (>=0.10.1)", "requests_file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug (>=1.0.1)", "six (>=1.15.0,<1.16.0)"] -quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] -benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"] +tests = ["importlib-resources", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] +tensorflow_gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"] +tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"] +s3 = ["s3fs", "botocore", "boto3", "fsspec"] +quality = ["pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)"] @@ -444,6 +440,4 @@ docs = ["s3fs"] - -[package.source] -type = "git" -url = "https://github.com/huggingface/datasets.git" -reference = "7e514c312fcc1d4b8f8e297df5549f669bfb30f8" -resolved_reference = "7e514c312fcc1d4b8f8e297df5549f669bfb30f8" +dev = ["importlib-resources", "pyyaml (>=5.3.1)", "isort (>=5.0.0)", "flake8 (>=3.8.3)", "black (>=22.0,<23.0)", "librosa", "Pillow (>=6.2.1)", "six (>=1.15.0,<1.16.0)", "Werkzeug (>=1.0.1)", "texttable (>=1.6.3)", "tldextract (>=3.1.0)", "requests-file (>=1.5.1)", "toml (>=0.10.1)", "seqeval", "scipy", "scikit-learn", "sacrebleu", "rouge-score (<0.0.7)", "mauve-text", "jiwer", "bert-score (>=0.3.6)", "sacremoses", "sentencepiece", "zstandard", "tldextract", "py7zr", "openpyxl", "nltk", "mwparserfromhell", "lz4", "lxml", "langdetect", "h5py", "conllu", "bs4", "transformers", "soundfile", "torchaudio", "torch", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "s3fs (>=2021.11.1)", "rarfile (>=4.0)", "moto[s3,server] (==2.0.4)", "fsspec", "faiss-cpu (>=1.6.4)", "botocore (>=1.22.8)", "boto3 (>=1.19.8)", "aiobotocore (>=2.0.1)", "elasticsearch (<8.0.0)", "apache-beam (>=2.26.0)", "pytest-xdist", "pytest-datadir", "pytest", "absl-py"] +benchmarks = ["transformers (==3.0.2)", "torch (==1.6.0)", "tensorflow (==2.3.0)", "numpy (==1.18.5)"] +audio = ["librosa"] +apache-beam = ["apache-beam (>=2.26.0)"] @@ -2538 +2532 @@ python-versions = "3.9.6" -content-hash = "dcd678b261dc538fcf1c5d8eaacb5276b6784c69cd5f67853480ec05096ce65f" +content-hash = "7d206c1eea9a8903b226f7d7339293781c1b4c18557239fce1cd921a7bb2cdbe" diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 66cf3118..d317693f 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -14,6 +14 @@ conllu = "^4.4.1" -#datasets = { extras = ["audio", "vision"], version = "^2.3.2" } -# branch on main for: a) timestamp cast to datetime, b) features with inference in streaming mode: IterableDataset._resolve_features() -datasets = { git = "https://github.com/huggingface/datasets.git", rev = "7e514c312fcc1d4b8f8e297df5549f669bfb30f8", extras = [ - "audio", - "vision", -] } +datasets = { extras = ["audio", "vision"], version = "^2.4.0" }
1e81b73b626d58f5a941459956587b21085cff56
Sylvain Lesage
2022-07-25T20:07:28
feat: 🎸 revert to remove the /admin prefix (#469)
diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml index 050733c4..0a8e6e9b 100644 --- a/infra/charts/datasets-server/docker-images.yaml +++ b/infra/charts/datasets-server/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e996a30", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-3111a16", diff --git a/infra/charts/datasets-server/nginx-templates/default.conf.template b/infra/charts/datasets-server/nginx-templates/default.conf.template index 75d6d24c..c03d7118 100644 --- a/infra/charts/datasets-server/nginx-templates/default.conf.template +++ b/infra/charts/datasets-server/nginx-templates/default.conf.template @@ -22,0 +23,21 @@ server { + location /admin/ { + # note the trailing slash, to remove the /admin/ prefix + proxy_pass ${URL_ADMIN}/; + proxy_set_header Host $proxy_host; + proxy_set_header X-Real-IP $remote_addr; + proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; + proxy_set_header X-Forwarded-Proto $scheme; + proxy_http_version 1.1; + # cache all the HEAD+GET requests (without Set-Cookie) + # Cache-Control is used to determine the cache duration + # see https://www.nginx.com/blog/nginx-caching-guide/ + proxy_buffering on; + proxy_cache STATIC; + proxy_cache_use_stale off; + proxy_cache_background_update off; + proxy_cache_lock off; + add_header X-Cache-Status $upstream_cache_status; + # we have to add Access-Control-Allow-Origin again, see https://nginx.org/en/docs/http/ngx_http_headers_module.html#add_header + add_header 'Access-Control-Allow-Origin' '*' always; + } + @@ -24 +45 @@ server { - proxy_pass ${TARGET_URL}; + proxy_pass ${URL_API}; diff --git a/infra/charts/datasets-server/templates/_helpers.tpl b/infra/charts/datasets-server/templates/_helpers.tpl index 48b677a9..1b34814e 100644 --- a/infra/charts/datasets-server/templates/_helpers.tpl +++ b/infra/charts/datasets-server/templates/_helpers.tpl @@ -130,0 +131,8 @@ It's named using the Release name +{{/* +The URL to access the admin service from another container +See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records +*/}} +{{- define "admin.url" -}} +{{- printf "http://%s-admin.%s.svc.cluster.local:80" ( include "release" . ) ( .Release.Namespace ) }} +{{- end }} + diff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml index 27e1e1e9..6fc6e777 100644 --- a/infra/charts/datasets-server/templates/ingress.yaml +++ b/infra/charts/datasets-server/templates/ingress.yaml @@ -16,7 +15,0 @@ spec: - - backend: - service: - name: "{{ include "release" . }}-admin" - port: - name: http - pathType: Prefix - path: "/admin/" diff --git a/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl b/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl index 039173ee..f3649e1f 100644 --- a/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl +++ b/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl @@ -20 +20,3 @@ - - name: TARGET_URL + - name: URL_ADMIN + value: {{ include "admin.url" . | quote }} + - name: URL_API diff --git a/services/admin/README.md b/services/admin/README.md index 365ff2e5..b780fc7f 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -52 +52 @@ The scripts: -The admin service provides technical endpoints, all under the `/admin/` path: +The admin service provides technical endpoints: @@ -54,4 +54,4 @@ The admin service provides technical endpoints, all under the `/admin/` path: -- `/admin/healthcheck` -- `/admin/metrics`: gives info about the cache and the queue -- `/admin/cache-reports`: give detailed reports on the content of the cache -- `/admin/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) +- `/healthcheck` +- `/metrics`: gives info about the cache and the queue +- `/cache-reports`: give detailed reports on the content of the cache +- `/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index aa98773e..8e0fd500 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -34,2 +34,2 @@ def create_app() -> Starlette: - Route("/admin/healthcheck", endpoint=healthcheck_endpoint), - Route("/admin/metrics", endpoint=prometheus.endpoint), + Route("/healthcheck", endpoint=healthcheck_endpoint), + Route("/metrics", endpoint=prometheus.endpoint), @@ -37 +37 @@ def create_app() -> Starlette: - Route("/admin/cache-reports", endpoint=cache_reports_endpoint), + Route("/cache-reports", endpoint=cache_reports_endpoint), @@ -39 +39 @@ def create_app() -> Starlette: - Route("/admin/pending-jobs", endpoint=pending_jobs_endpoint), + Route("/pending-jobs", endpoint=pending_jobs_endpoint), diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 097f3cad..9618efdf 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -32 +32 @@ def test_get_healthcheck(client: TestClient) -> None: - response = client.get("/admin/healthcheck") + response = client.get("/healthcheck") @@ -38 +38 @@ def test_metrics(client: TestClient) -> None: - response = client.get("/admin/metrics") + response = client.get("/metrics") @@ -53 +53 @@ def test_metrics(client: TestClient) -> None: - assert 'starlette_requests_total{method="GET",path_template="/admin/metrics"}' in metrics + assert 'starlette_requests_total{method="GET",path_template="/metrics"}' in metrics @@ -57 +57 @@ def test_pending_jobs(client: TestClient) -> None: - response = client.get("/admin/pending-jobs") + response = client.get("/pending-jobs") @@ -66 +66 @@ def test_cache_reports(client: TestClient) -> None: - response = client.get("/admin/cache-reports") + response = client.get("/cache-reports") diff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md index 1df83dbf..d9c9f119 100644 --- a/services/reverse-proxy/README.md +++ b/services/reverse-proxy/README.md @@ -25 +25,2 @@ It takes various environment variables, all of them are mandatory: -- `TARGET_URL`= URL of the API, eg `http://api:8080` +- `URL_ADMIN`= URL of the admin, eg `http://admin:8080` +- `URL_API`= URL of the API, eg `http://api:8080` diff --git a/tools/docker-compose-datasets-server-from-local-code.yml b/tools/docker-compose-datasets-server-from-local-code.yml index da729f3f..95d94dce 100644 --- a/tools/docker-compose-datasets-server-from-local-code.yml +++ b/tools/docker-compose-datasets-server-from-local-code.yml @@ -20 +20,2 @@ services: - - TARGET_URL=http://api:8080 + - URL_ADMIN=http://admin:8081 + - URL_API=http://api:8080 diff --git a/tools/docker-compose-datasets-server-from-remote-images.yml b/tools/docker-compose-datasets-server-from-remote-images.yml index c3988312..d6e8670c 100644 --- a/tools/docker-compose-datasets-server-from-remote-images.yml +++ b/tools/docker-compose-datasets-server-from-remote-images.yml @@ -20 +20,2 @@ services: - TARGET_URL: http://api:8080 + URL_ADMIN: http://admin:8081 + URL_API: http://api:8080
fcd3c1f3a8d90987e67c746b8095ad9bbd05946b
Sylvain Lesage
2022-07-25T19:01:23
feat: 🎸 move the admin endpoints under /admin/ (#467)
diff --git a/infra/charts/datasets-server/docker-images.yaml b/infra/charts/datasets-server/docker-images.yaml index e0968abe..050733c4 100644 --- a/infra/charts/datasets-server/docker-images.yaml +++ b/infra/charts/datasets-server/docker-images.yaml @@ -3 +3 @@ - "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-640cc19", + "admin": "707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server-admin:sha-e996a30", diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml index d0d9401e..733cb17e 100644 --- a/infra/charts/datasets-server/env/dev.yaml +++ b/infra/charts/datasets-server/env/dev.yaml @@ -16,2 +16 @@ monitoring: -adminDomain: "admin-datasets-server-dev.us.dev.moon.huggingface.tech" -apiDomain: "datasets-server-dev.us.dev.moon.huggingface.tech" +apiDomain: "datasets-server.us.dev.moon.huggingface.tech" @@ -22 +21 @@ ingress: - external-dns.alpha.kubernetes.io/hostname: "datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech" + external-dns.alpha.kubernetes.io/hostname: "datasets-server.us.dev.moon.huggingface.tech" @@ -50 +49 @@ worker: - replicas: 2 + replicas: 1 @@ -59 +58 @@ worker: - replicas: 5 + replicas: 1 @@ -68 +67 @@ worker: - replicas: 5 + replicas: 1 @@ -77 +76 @@ worker: - replicas: 2 + replicas: 1 diff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml index 63f47fbb..564f58af 100644 --- a/infra/charts/datasets-server/env/prod.yaml +++ b/infra/charts/datasets-server/env/prod.yaml @@ -43 +42,0 @@ monitoring: -adminDomain: "admin-datasets-server.us.dev.moon.huggingface.tech" @@ -48,2 +46,0 @@ ingress: - # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster) - external-dns.alpha.kubernetes.io/hostname: "admin-datasets-server.us.dev.moon.huggingface.tech" diff --git a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml index 234943ac..7f78297a 100644 --- a/infra/charts/datasets-server/templates/admin/servicemonitor.yaml +++ b/infra/charts/datasets-server/templates/admin/servicemonitor.yaml @@ -11 +11 @@ spec: - - path: /metrics + - path: /admin/metrics diff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml index a14eb105..27e1e1e9 100644 --- a/infra/charts/datasets-server/templates/ingress.yaml +++ b/infra/charts/datasets-server/templates/ingress.yaml @@ -13 +13 @@ spec: - - host: {{ .Values.adminDomain }} + - host: {{ .Values.apiDomain }} @@ -21,4 +21,2 @@ spec: - pathType: ImplementationSpecific - - host: {{ .Values.apiDomain }} - http: - paths: + pathType: Prefix + path: "/admin/" diff --git a/services/admin/README.md b/services/admin/README.md index b780fc7f..365ff2e5 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -52 +52 @@ The scripts: -The admin service provides technical endpoints: +The admin service provides technical endpoints, all under the `/admin/` path: @@ -54,4 +54,4 @@ The admin service provides technical endpoints: -- `/healthcheck` -- `/metrics`: gives info about the cache and the queue -- `/cache-reports`: give detailed reports on the content of the cache -- `/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) +- `/admin/healthcheck` +- `/admin/metrics`: gives info about the cache and the queue +- `/admin/cache-reports`: give detailed reports on the content of the cache +- `/admin/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index 8e0fd500..aa98773e 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -34,2 +34,2 @@ def create_app() -> Starlette: - Route("/healthcheck", endpoint=healthcheck_endpoint), - Route("/metrics", endpoint=prometheus.endpoint), + Route("/admin/healthcheck", endpoint=healthcheck_endpoint), + Route("/admin/metrics", endpoint=prometheus.endpoint), @@ -37 +37 @@ def create_app() -> Starlette: - Route("/cache-reports", endpoint=cache_reports_endpoint), + Route("/admin/cache-reports", endpoint=cache_reports_endpoint), @@ -39 +39 @@ def create_app() -> Starlette: - Route("/pending-jobs", endpoint=pending_jobs_endpoint), + Route("/admin/pending-jobs", endpoint=pending_jobs_endpoint), diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index 9618efdf..097f3cad 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -32 +32 @@ def test_get_healthcheck(client: TestClient) -> None: - response = client.get("/healthcheck") + response = client.get("/admin/healthcheck") @@ -38 +38 @@ def test_metrics(client: TestClient) -> None: - response = client.get("/metrics") + response = client.get("/admin/metrics") @@ -53 +53 @@ def test_metrics(client: TestClient) -> None: - assert 'starlette_requests_total{method="GET",path_template="/metrics"}' in metrics + assert 'starlette_requests_total{method="GET",path_template="/admin/metrics"}' in metrics @@ -57 +57 @@ def test_pending_jobs(client: TestClient) -> None: - response = client.get("/pending-jobs") + response = client.get("/admin/pending-jobs") @@ -66 +66 @@ def test_cache_reports(client: TestClient) -> None: - response = client.get("/cache-reports") + response = client.get("/admin/cache-reports")
cc47ea212654c69b4a37241b6f39b489ec26a790
Sylvain Lesage
2022-07-25T15:19:16
feat: 🎸 add a script to refresh the canonical datasets (#463)
diff --git a/.github/workflows/s-admin.yaml b/.github/workflows/s-admin.yml similarity index 100% rename from .github/workflows/s-admin.yaml rename to .github/workflows/s-admin.yml diff --git a/.github/workflows/s-api.yaml b/.github/workflows/s-api.yml similarity index 100% rename from .github/workflows/s-api.yaml rename to .github/workflows/s-api.yml diff --git a/services/admin/Makefile b/services/admin/Makefile index af45ed4a..f7f42880 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -40,0 +41,4 @@ refresh-cache: +.PHONY: refresh-cache-canonical +refresh-cache: + poetry run python src/admin/scripts/refresh_cache_canonical.py + diff --git a/services/admin/README.md b/services/admin/README.md index 2029319c..b780fc7f 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -45,0 +46,2 @@ The scripts: +- `refresh-cache`: add a job for every HF dataset +- `refresh-cache-canonical`: add a job for every HF canonical dataset diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index e390de88..d46ca43a 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -20,0 +21 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None: + connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) @@ -31 +31,0 @@ if __name__ == "__main__": - connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) diff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py new file mode 100644 index 00000000..42d87761 --- /dev/null +++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py @@ -0,0 +1,22 @@ +import logging + +from dotenv import load_dotenv +from huggingface_hub import list_datasets # type: ignore +from libutils.logger import init_logger + +from admin.config import LOG_LEVEL +from admin.scripts.refresh_cache import refresh_datasets_cache + +# Load environment variables defined in .env, if any +load_dotenv() + + +def get_hf_canonical_dataset_names(): + return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find("/") == -1] + + +if __name__ == "__main__": + init_logger(LOG_LEVEL, "refresh_cache_canonical") + logger = logging.getLogger("refresh_cache_canonical") + refresh_datasets_cache(get_hf_canonical_dataset_names()) + logger.info("all the canonical datasets of the Hub have been added to the queue to refresh the cache") diff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py new file mode 100644 index 00000000..bb5bfea1 --- /dev/null +++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py @@ -0,0 +1,9 @@ +from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names + + +# get_dataset_names +def test_get_hf_canonical_dataset_names() -> None: + dataset_names = get_hf_canonical_dataset_names() + assert len(dataset_names) > 100 + assert "glue" in dataset_names + assert "Helsinki-NLP/tatoeba_mt" not in dataset_names diff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py index 62d129f9..589b784f 100644 --- a/services/admin/tests/scripts/test_warm_cache.py +++ b/services/admin/tests/scripts/test_warm_cache.py @@ -8,0 +9 @@ def test_get_hf_dataset_names() -> None: + assert "Helsinki-NLP/tatoeba_mt" in dataset_names
f74f4397007babacb13060e925cbea987e6d78b1
Test User
2022-07-25T15:08:56
Revert "feat: 🎸 add a script to refresh the canonical datasets"
diff --git a/services/admin/Makefile b/services/admin/Makefile index f7f42880..af45ed4a 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -41,4 +40,0 @@ refresh-cache: -.PHONY: refresh-cache-canonical -refresh-cache: - poetry run python src/admin/scripts/refresh_cache_canonical.py - diff --git a/services/admin/README.md b/services/admin/README.md index b780fc7f..2029319c 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -46,2 +45,0 @@ The scripts: -- `refresh-cache`: add a job for every HF dataset -- `refresh-cache-canonical`: add a job for every HF canonical dataset diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index d46ca43a..e390de88 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -21 +20,0 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None: - connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) @@ -31,0 +31 @@ if __name__ == "__main__": + connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) diff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py deleted file mode 100644 index 42d87761..00000000 --- a/services/admin/src/admin/scripts/refresh_cache_canonical.py +++ /dev/null @@ -1,22 +0,0 @@ -import logging - -from dotenv import load_dotenv -from huggingface_hub import list_datasets # type: ignore -from libutils.logger import init_logger - -from admin.config import LOG_LEVEL -from admin.scripts.refresh_cache import refresh_datasets_cache - -# Load environment variables defined in .env, if any -load_dotenv() - - -def get_hf_canonical_dataset_names(): - return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find("/") == -1] - - -if __name__ == "__main__": - init_logger(LOG_LEVEL, "refresh_cache_canonical") - logger = logging.getLogger("refresh_cache_canonical") - refresh_datasets_cache(get_hf_canonical_dataset_names()) - logger.info("all the canonical datasets of the Hub have been added to the queue to refresh the cache") diff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py deleted file mode 100644 index bb5bfea1..00000000 --- a/services/admin/tests/scripts/test_refresh_cache_canonical.py +++ /dev/null @@ -1,9 +0,0 @@ -from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names - - -# get_dataset_names -def test_get_hf_canonical_dataset_names() -> None: - dataset_names = get_hf_canonical_dataset_names() - assert len(dataset_names) > 100 - assert "glue" in dataset_names - assert "Helsinki-NLP/tatoeba_mt" not in dataset_names diff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py index 589b784f..62d129f9 100644 --- a/services/admin/tests/scripts/test_warm_cache.py +++ b/services/admin/tests/scripts/test_warm_cache.py @@ -9 +8,0 @@ def test_get_hf_dataset_names() -> None: - assert "Helsinki-NLP/tatoeba_mt" in dataset_names
67b69940c501a7301599a9ca85fcd9cca76699fe
Test User
2022-07-25T15:07:14
feat: 🎸 add a script to refresh the canonical datasets
diff --git a/services/admin/Makefile b/services/admin/Makefile index af45ed4a..f7f42880 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -40,0 +41,4 @@ refresh-cache: +.PHONY: refresh-cache-canonical +refresh-cache: + poetry run python src/admin/scripts/refresh_cache_canonical.py + diff --git a/services/admin/README.md b/services/admin/README.md index 2029319c..b780fc7f 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -45,0 +46,2 @@ The scripts: +- `refresh-cache`: add a job for every HF dataset +- `refresh-cache-canonical`: add a job for every HF canonical dataset diff --git a/services/admin/src/admin/scripts/refresh_cache.py b/services/admin/src/admin/scripts/refresh_cache.py index e390de88..d46ca43a 100644 --- a/services/admin/src/admin/scripts/refresh_cache.py +++ b/services/admin/src/admin/scripts/refresh_cache.py @@ -20,0 +21 @@ def refresh_datasets_cache(dataset_names: List[str]) -> None: + connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) @@ -31 +31,0 @@ if __name__ == "__main__": - connect_to_queue(MONGO_QUEUE_DATABASE, MONGO_URL) diff --git a/services/admin/src/admin/scripts/refresh_cache_canonical.py b/services/admin/src/admin/scripts/refresh_cache_canonical.py new file mode 100644 index 00000000..42d87761 --- /dev/null +++ b/services/admin/src/admin/scripts/refresh_cache_canonical.py @@ -0,0 +1,22 @@ +import logging + +from dotenv import load_dotenv +from huggingface_hub import list_datasets # type: ignore +from libutils.logger import init_logger + +from admin.config import LOG_LEVEL +from admin.scripts.refresh_cache import refresh_datasets_cache + +# Load environment variables defined in .env, if any +load_dotenv() + + +def get_hf_canonical_dataset_names(): + return [str(dataset.id) for dataset in list_datasets(full=False) if dataset.id.find("/") == -1] + + +if __name__ == "__main__": + init_logger(LOG_LEVEL, "refresh_cache_canonical") + logger = logging.getLogger("refresh_cache_canonical") + refresh_datasets_cache(get_hf_canonical_dataset_names()) + logger.info("all the canonical datasets of the Hub have been added to the queue to refresh the cache") diff --git a/services/admin/tests/scripts/test_refresh_cache_canonical.py b/services/admin/tests/scripts/test_refresh_cache_canonical.py new file mode 100644 index 00000000..bb5bfea1 --- /dev/null +++ b/services/admin/tests/scripts/test_refresh_cache_canonical.py @@ -0,0 +1,9 @@ +from admin.scripts.refresh_cache_canonical import get_hf_canonical_dataset_names + + +# get_dataset_names +def test_get_hf_canonical_dataset_names() -> None: + dataset_names = get_hf_canonical_dataset_names() + assert len(dataset_names) > 100 + assert "glue" in dataset_names + assert "Helsinki-NLP/tatoeba_mt" not in dataset_names diff --git a/services/admin/tests/scripts/test_warm_cache.py b/services/admin/tests/scripts/test_warm_cache.py index 62d129f9..589b784f 100644 --- a/services/admin/tests/scripts/test_warm_cache.py +++ b/services/admin/tests/scripts/test_warm_cache.py @@ -8,0 +9 @@ def test_get_hf_dataset_names() -> None: + assert "Helsinki-NLP/tatoeba_mt" in dataset_names
67e1674381a9f0cc1a960a886e1d5d9ce8b7b378
Sylvain Lesage
2022-07-22T21:30:39
refactor: 💡 move ingress to the root in values (#462)
diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml index 4bb672bf..d0d9401e 100644 --- a/infra/charts/datasets-server/env/dev.yaml +++ b/infra/charts/datasets-server/env/dev.yaml @@ -18,0 +19,11 @@ apiDomain: "datasets-server-dev.us.dev.moon.huggingface.tech" +ingress: + annotations: + # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster) + external-dns.alpha.kubernetes.io/hostname: "datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech" + alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" + alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' + alb.ingress.kubernetes.io/load-balancer-name: "hub-datasets-server-dev" + alb.ingress.kubernetes.io/scheme: "internet-facing" + alb.ingress.kubernetes.io/tags: "Env=dev,Project=datasets-server,Terraform=true" + kubernetes.io/ingress.class: "alb" + @@ -22,11 +32,0 @@ reverseProxy: - ingress: - annotations: - # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster) - external-dns.alpha.kubernetes.io/hostname: "datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech" - alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" - alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' - alb.ingress.kubernetes.io/load-balancer-name: "hub-datasets-server-dev" - alb.ingress.kubernetes.io/scheme: "internet-facing" - alb.ingress.kubernetes.io/tags: "Env=dev,Project=datasets-server,Terraform=true" - kubernetes.io/ingress.class: "alb" - diff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml index d11a4181..63f47fbb 100644 --- a/infra/charts/datasets-server/env/prod.yaml +++ b/infra/charts/datasets-server/env/prod.yaml @@ -45,0 +46,13 @@ apiDomain: "datasets-server.huggingface.co" +ingress: + annotations: + # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster) + external-dns.alpha.kubernetes.io/hostname: "admin-datasets-server.us.dev.moon.huggingface.tech" + alb.ingress.kubernetes.io/certificate-arn: arn:aws:acm:us-east-1:707930574880:certificate/777e3ae5-0c54-47ee-9b8c-d85eeb6ec4ae + alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" + alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' + alb.ingress.kubernetes.io/load-balancer-name: "hub-datasets-server-prod" + alb.ingress.kubernetes.io/scheme: "internet-facing" + alb.ingress.kubernetes.io/tags: "Env=prod,Project=datasets-server,Terraform=true" + alb.ingress.kubernetes.io/target-node-labels: role-datasets-server=true + kubernetes.io/ingress.class: "alb" + @@ -49,13 +61,0 @@ reverseProxy: - ingress: - annotations: - # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster) - external-dns.alpha.kubernetes.io/hostname: "admin-datasets-server.us.dev.moon.huggingface.tech" - alb.ingress.kubernetes.io/certificate-arn: arn:aws:acm:us-east-1:707930574880:certificate/777e3ae5-0c54-47ee-9b8c-d85eeb6ec4ae - alb.ingress.kubernetes.io/healthcheck-path: "/healthcheck" - alb.ingress.kubernetes.io/listen-ports: '[{"HTTP": 80, "HTTPS": 443}]' - alb.ingress.kubernetes.io/load-balancer-name: "hub-datasets-server-prod" - alb.ingress.kubernetes.io/scheme: "internet-facing" - alb.ingress.kubernetes.io/tags: "Env=prod,Project=datasets-server,Terraform=true" - alb.ingress.kubernetes.io/target-node-labels: role-datasets-server=true - kubernetes.io/ingress.class: "alb" - diff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml index e6f59a6f..a14eb105 100644 --- a/infra/charts/datasets-server/templates/ingress.yaml +++ b/infra/charts/datasets-server/templates/ingress.yaml @@ -6 +6 @@ metadata: - {{ toYaml .Values.reverseProxy.ingress.annotations | nindent 4 }} + {{ toYaml .Values.ingress.annotations | nindent 4 }} diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index cb1feaa2..c785a32d 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -36,0 +37,4 @@ gid: 3000 + +ingress: + annotations: {} + @@ -44,3 +47,0 @@ reverseProxy: - ingress: - annotations: {} - @@ -75,3 +75,0 @@ api: - ingress: - annotations: {} - @@ -282,3 +279,0 @@ admin: - ingress: - annotations: {} -
b330f4323693aab005db53be422f3a9f262ada84
Sylvain Lesage
2022-07-22T21:26:17
fix: 🐛 fix domains (we had to ask for them to Route53) (#461)
diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml index 0a607328..4bb672bf 100644 --- a/infra/charts/datasets-server/env/dev.yaml +++ b/infra/charts/datasets-server/env/dev.yaml @@ -25 +25 @@ reverseProxy: - external-dns.alpha.kubernetes.io/hostname: "datasets-server.us.dev.moon.huggingface.tech" + external-dns.alpha.kubernetes.io/hostname: "datasets-server.us.dev.moon.huggingface.tech,admin-datasets-server-dev.us.dev.moon.huggingface.tech" diff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml index 19e440be..d11a4181 100644 --- a/infra/charts/datasets-server/env/prod.yaml +++ b/infra/charts/datasets-server/env/prod.yaml @@ -50,0 +51,2 @@ reverseProxy: + # Link to Route53 - we could set any subdomain to us.dev.moon.huggingface.tech (common zone to the k8s cluster) + external-dns.alpha.kubernetes.io/hostname: "admin-datasets-server.us.dev.moon.huggingface.tech"