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1e4073504d2ab8f3e9023a95d85ffaacf13a27e2
Sylvain Lesage
2022-05-16T13:51:37
Add service monitor (#260)
diff --git a/.gitignore b/.gitignore index e220632c..3b11076c 100644 --- a/.gitignore +++ b/.gitignore @@ -11,0 +12 @@ +.vscode/*.log diff --git a/e2e/tests/test_api.py b/e2e/tests/test_api.py index 42275fea..d574ddf4 100644 --- a/e2e/tests/test_api.py +++ b/e2e/tests/test_api.py @@ -16 +16 @@ def test_get_dataset(): - response = requests.get(f"{URL}/prometheus") + response = requests.get(f"{URL}/metrics") diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml index e7de7e92..eb4ed3f5 100644 --- a/infra/charts/datasets-server/env/dev.yaml +++ b/infra/charts/datasets-server/env/dev.yaml @@ -12,0 +13,3 @@ secrets: +monitoring: + enabled: false + diff --git a/infra/charts/datasets-server/templates/servicemonitor.yaml b/infra/charts/datasets-server/templates/servicemonitor.yaml new file mode 100644 index 00000000..116ad292 --- /dev/null +++ b/infra/charts/datasets-server/templates/servicemonitor.yaml @@ -0,0 +1,19 @@ +{{- if .Values.monitoring.enabled }} +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + labels: + {{ include "labels" . | nindent 4 }} + name: {{ include "release" . }} + namespace: {{ .Release.Namespace }} +spec: + endpoints: + - path: /metrics + port: http + namespaceSelector: + matchNames: + - {{ .Release.Namespace }} + selector: + matchLabels: + {{ include "labels.api" . | nindent 6 }} +{{- end }} diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index 9b776db5..a7813e19 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -19,0 +20,3 @@ secrets: +monitoring: + enabled: false + @@ -28 +31 @@ docker: - tag: sha-7ae7942 + tag: sha-8a7c036 diff --git a/services/api/README.md b/services/api/README.md index b62ea9f2..6c063bb0 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -603 +603 @@ Responses: -### /prometheus +### /metrics @@ -607 +607 @@ Responses: -Example: https://datasets-server.huggingface.tech/prometheus +Example: https://datasets-server.huggingface.tech/metrics @@ -621 +621 @@ Responses: -starlette_requests_in_progress{method="GET",path_template="/prometheus"} 1.0 +starlette_requests_in_progress{method="GET",path_template="/metrics"} 1.0 diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 7de11f45..c8d330d3 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -56 +56 @@ def create_app() -> Starlette: - Route("/prometheus", endpoint=prometheus.endpoint), + Route("/metrics", endpoint=prometheus.endpoint), diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 6e60c471..ab3e5aeb 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -336,2 +336,2 @@ def test_split_cache_refreshing(client: TestClient) -> None: -def test_prometheus(client: TestClient) -> None: - response = client.get("/prometheus") +def test_metrics(client: TestClient) -> None: + response = client.get("/metrics")
cc763a31d588b88ce56a0ac6eccc6fd923a8a9eb
Sylvain Lesage
2022-05-16T12:47:48
Upgrade worker (#272)
diff --git a/docker-compose.yml b/docker-compose.yml index 9860d6d5..259922df 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -73,0 +74,3 @@ services: + ports: + # for debug + - "27017:27017" diff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml index 5a49b8b6..047e1db6 100644 --- a/infra/charts/datasets-server/env/prod.yaml +++ b/infra/charts/datasets-server/env/prod.yaml @@ -103,0 +104,3 @@ splitsWorker: + + # Log level + logLevel: "DEBUG" diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index 63f2af49..9b776db5 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -28 +28 @@ docker: - tag: sha-e98a0aa + tag: sha-7ae7942 @@ -172,2 +171,0 @@ splitsWorker: - # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) - hfToken: ""
7ae7942cc9a6750e519aadd1babf54fa3f21ff05
Sylvain Lesage
2022-05-16T11:43:35
fix: 🐛 fix the query to get the list of jobs in the queue (#271)
diff --git a/libs/libqueue/Makefile b/libs/libqueue/Makefile index c5c600bc..12837051 100644 --- a/libs/libqueue/Makefile +++ b/libs/libqueue/Makefile @@ -5 +5,3 @@ test: - MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -x tests + docker-compose -f tests/docker-compose.yml up -d --remove-orphans + MONGO_URL="mongodb://localhost:27020" MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -x tests + docker-compose -f tests/docker-compose.yml down @@ -9 +11,3 @@ coverage: - MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + docker-compose -f tests/docker-compose.yml up -d --remove-orphans + MONGO_URL="mongodb://localhost:27020" MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + docker-compose -f tests/docker-compose.yml down diff --git a/libs/libqueue/src/libqueue/queue.py b/libs/libqueue/src/libqueue/queue.py index 1c6a5015..60defd29 100644 --- a/libs/libqueue/src/libqueue/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -207,0 +208,9 @@ 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]: + if max_jobs_per_dataset is None: + return [] + dataset_names = [job.dataset_name for job in jobs(status=Status.STARTED).only("dataset_name")] + return list( + {dataset_name for dataset_name in dataset_names if dataset_names.count(dataset_name) >= max_jobs_per_dataset} + ) + + @@ -209 +218,7 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - waiting_jobs = get_waiting(jobs).order_by("+created_at").no_cache() + excluded_dataset_names = get_excluded_dataset_names(jobs, max_jobs_per_dataset) + next_waiting_job = ( + jobs(status=Status.WAITING, dataset_name__nin=excluded_dataset_names) + .order_by("+created_at") + .no_cache() + .first() + ) @@ -211,14 +226,4 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - for job in waiting_jobs: - if job.status is not Status.WAITING: - logger.warning(f"waiting job {job.to_id()} has a not the WAITING status. Ignoring it.") - continue - if job.started_at is not None: - logger.warning(f"waiting job {job.to_id()} has a non empty started_at field. Ignoring it.") - continue - if job.finished_at is not None: - logger.warning(f"waiting job {job.to_id()} has a non empty started_at field. Ignoring it.") - continue - if max_jobs_per_dataset is None or get_num_started_for_dataset(jobs, job.dataset_name) < max_jobs_per_dataset: - job.update(started_at=datetime.utcnow(), status=Status.STARTED) - return job - raise EmptyQueue(f"no job available (within the limit of {max_jobs_per_dataset} started jobs per dataset)") + 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=datetime.utcnow(), status=Status.STARTED) + return next_waiting_job diff --git a/libs/libqueue/tests/docker-compose.yml b/libs/libqueue/tests/docker-compose.yml new file mode 100644 index 00000000..272840e4 --- /dev/null +++ b/libs/libqueue/tests/docker-compose.yml @@ -0,0 +1,10 @@ +version: "3.9" +services: + mongodb-test-libqueue: + image: mongo + volumes: + - mongo-test-libqueue:/data/db:rw + ports: + - 27020:27017 +volumes: + mongo-test-libqueue: diff --git a/libs/libqueue/tests/test_queue.py b/libs/libqueue/tests/test_queue.py index d55165d6..83707640 100644 --- a/libs/libqueue/tests/test_queue.py +++ b/libs/libqueue/tests/test_queue.py @@ -10,0 +11 @@ from libqueue.queue import ( + get_split_job, @@ -52,0 +54,18 @@ def test_add_job() -> None: +def test_max_jobs_per_dataset() -> None: + add_split_job("dataset", "config", "split1") + add_split_job("dataset", "config", "split2") + add_split_job("dataset", "config", "split3") + _, dataset_name, config_name, split_name = get_split_job() + assert dataset_name == "dataset" + assert config_name == "config" + assert split_name == "split1" + with pytest.raises(EmptyQueue): + get_split_job(0) + with pytest.raises(EmptyQueue): + get_split_job(1) + _, dataset_name, config_name, split_name = get_split_job(2) + assert split_name == "split2" + with pytest.raises(EmptyQueue): + get_split_job(2) + + diff --git a/services/api/poetry.lock b/services/api/poetry.lock index ff7931a6..6133a99b 100644 --- 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f071f42d0bc43252993dd6d2b925a93a7fc4def9
Sylvain Lesage
2022-05-13T19:06:48
feat: 🎸 upgrade image (#269)
diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index fe93fc46..63f2af49 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -28 +28 @@ docker: - tag: sha-a495e5f + tag: sha-e98a0aa
e98a0aade46428398b4ddceb9ad4854aed8da1c8
Sylvain Lesage
2022-05-13T18:52:27
fix: 🐛 fix loop (#268)
diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index f561afba..9be018be 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -84,0 +85,3 @@ def process_next_split_job() -> bool: + except Exception as err: + logger.debug(f"unknown exception: {err}") + raise
7580c923faaa72ae6014073c261a520e558f744f
Sylvain Lesage
2022-05-13T18:47:39
feat: 🎸 upgrade images (#267)
diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index ec90161c..fe93fc46 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -28 +28 @@ docker: - tag: sha-b793bcf + tag: sha-a495e5f
a495e5f47ec9b4e8519e2f7b0bee008cc038af79
Sylvain Lesage
2022-05-13T18:01:31
Prod env (#266)
diff --git a/infra/charts/datasets-server/Makefile b/infra/charts/datasets-server/Makefile index 5f9a1898..412f884b 100644 --- a/infra/charts/datasets-server/Makefile +++ b/infra/charts/datasets-server/Makefile @@ -2 +1,0 @@ CHART_NAME := datasets-server -K8S_NAMESPACE := hub @@ -22 +21,5 @@ diff-dev: - @make diff ENV=dev + @make diff ENV=dev K8S_NAMESPACE=hub + +.PHONY: uninstall-dev +uninstall-dev: + @make uninstall ENV=dev K8S_NAMESPACE=hub @@ -26 +29,13 @@ upgrade-dev: - @make upgrade ENV=dev + @make upgrade ENV=dev K8S_NAMESPACE=hub + +.PHONY: diff-prod +diff-prod: + @make diff ENV=prod K8S_NAMESPACE=datasets-server + +.PHONY: uninstall-prod +uninstall-prod: + @make uninstall ENV=prod K8S_NAMESPACE=datasets-server + +.PHONY: upgrade-prod +upgrade-prod: + @make upgrade ENV=prod K8S_NAMESPACE=datasets-server diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml index 3aa8e761..e7de7e92 100644 --- a/infra/charts/datasets-server/env/dev.yaml +++ b/infra/charts/datasets-server/env/dev.yaml @@ -8,0 +9,4 @@ storage: +secrets: + hfToken: datasets-server-hf-token + mongoUrl: false + diff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml index 5e2b5e16..5a49b8b6 100644 --- a/infra/charts/datasets-server/env/prod.yaml +++ b/infra/charts/datasets-server/env/prod.yaml @@ -2,0 +3 @@ mongodb: + # we use the secret instead to get the mongo URL @@ -7,0 +9,2 @@ storage: + # https://us-east-1.console.aws.amazon.com/fsx/home?region=us-east-1#file-system-details/fs-0220b222fb471f3b9 + # Alarm: https://us-east-1.console.aws.amazon.com/cloudwatch/home?region=us-east-1#alarmsV2:alarm/Low+disk+on+datasets+server? @@ -11 +14 @@ secrets: - mongodbUrl: mongodb-url + mongoUrl: mongo-url @@ -13 +16,26 @@ secrets: -domain: "datasets-server-prod.us.dev.moon.huggingface.tech" +domain: "datasets-server.huggingface.tech" + +# Datasets blocklist +datasetsBlocklist: >- + Alvenir/nst-da-16khz + bigscience/P3 + clips/mqa + echarlaix/gqa-lxmert + echarlaix/vqa-lxmert + fractalego/QA_to_statements + hyperpartisan_news_detection + imthanhlv/binhvq_news21_raw + Graphcore/gqa-lxmert + Graphcore/vqa-lxmert + kiyoung2/aistage-mrc + lewtun/gem-multi-dataset-predictions + lukesjordan/worldbank-project-documents + math_dataset + midas/ldke3k_medium + midas/ldke3k_small + midas/ldkp3k_small + qr/cefr_book_sentences + SaulLu/Natural_Questions_HTML_reduced_all + SaulLu/Natural_Questions_HTML_Toy + unicamp-dl/mmarco + z-uo/squad-it @@ -16 +44 @@ reverseProxy: - replicas: 1 + replicas: 2 @@ -20,2 +47,0 @@ 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: "datasets-server-prod.us.dev.moon.huggingface.tech" @@ -26,0 +53 @@ reverseProxy: + alb.ingress.kubernetes.io/target-node-labels: role-datasets-server=true @@ -28,0 +56,16 @@ reverseProxy: + service: + annotations: + service.beta.kubernetes.io/aws-load-balancer-additional-resource-tags: Env=prod,Project=datasets-server,Terraform=true + service.beta.kubernetes.io/aws-load-balancer-name: hub-prod-datasets-server-nlb + service.beta.kubernetes.io/aws-load-balancer-nlb-target-type: instance + service.beta.kubernetes.io/aws-load-balancer-scheme: internal + service.beta.kubernetes.io/aws-load-balancer-type: external + service.beta.kubernetes.io/aws-load-balancer-target-node-labels: role-datasets-server=true + + nodeSelector: + role-datasets-server: 'true' + + tolerations: + - key: CriticalAddonsOnly + operator: Equal + @@ -31 +74 @@ reverseProxy: - cpu: 0.01 + cpu: 1 @@ -36 +79 @@ api: - replicas: 1 + replicas: 2 @@ -40 +83 @@ api: - cpu: 0.01 + cpu: 1 @@ -45 +88 @@ datasetsWorker: - replicas: 2 + replicas: 3 @@ -54 +97 @@ splitsWorker: - replicas: 5 + replicas: 12 diff --git a/infra/charts/datasets-server/nginx-templates/default.conf.template b/infra/charts/datasets-server/nginx-templates/default.conf.template index e78bb753..80bdc0ab 100644 --- a/infra/charts/datasets-server/nginx-templates/default.conf.template +++ b/infra/charts/datasets-server/nginx-templates/default.conf.template @@ -29,0 +30,2 @@ server { + # 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/infra/charts/datasets-server/templates/api/_container.tpl b/infra/charts/datasets-server/templates/api/_container.tpl index 44702263..076cd4e0 100644 --- a/infra/charts/datasets-server/templates/api/_container.tpl +++ b/infra/charts/datasets-server/templates/api/_container.tpl @@ -22 +21,0 @@ - {{- if .Values.mongodb.enabled }} @@ -23,0 +23 @@ + {{- if .Values.mongodb.enabled }} @@ -24,0 +25,6 @@ + {{- else }} + valueFrom: + secretKeyRef: + name: {{ .Values.secrets.mongoUrl | quote }} + key: MONGO_URL + optional: false @@ -26 +32 @@ - image: "{{ .Values.api.image.repository }}/{{ .Values.api.image.name }}:{{ .Values.api.image.tag }}" + image: "{{ .Values.api.image.repository }}/{{ .Values.api.image.name }}:{{ .Values.docker.tag }}" diff --git a/infra/charts/datasets-server/templates/datasets-worker/_container.tpl b/infra/charts/datasets-server/templates/datasets-worker/_container.tpl index 4a4c4315..2509e6de 100644 --- a/infra/charts/datasets-server/templates/datasets-worker/_container.tpl +++ b/infra/charts/datasets-server/templates/datasets-worker/_container.tpl @@ -7 +7 @@ - value: {{ .Values.datasetsWorker.datasetsBlocklist | quote }} + value: {{ .Values.datasetsBlocklist | quote }} @@ -19,2 +19,2 @@ - name: datasets-server-secrets - key: hfToken + name: {{ .Values.secrets.hfToken | quote }} + key: HF_TOKEN @@ -38 +37,0 @@ - {{- if .Values.mongodb.enabled }} @@ -40 +39,8 @@ - value: {{ include "mongodb.url" . }} + {{- if .Values.mongodb.enabled }} + value: mongodb://{{.Release.Name}}-mongodb + {{- else }} + valueFrom: + secretKeyRef: + name: {{ .Values.secrets.mongoUrl | quote }} + key: MONGO_URL + optional: false @@ -53 +59 @@ - image: "{{ .Values.datasetsWorker.image.repository }}/{{ .Values.datasetsWorker.image.name }}:{{ .Values.datasetsWorker.image.tag }}" + image: "{{ .Values.datasetsWorker.image.repository }}/{{ .Values.datasetsWorker.image.name }}:{{ .Values.docker.tag }}" diff --git a/infra/charts/datasets-server/templates/splits-worker/_container.tpl b/infra/charts/datasets-server/templates/splits-worker/_container.tpl index bf0b188f..f663bc24 100644 --- a/infra/charts/datasets-server/templates/splits-worker/_container.tpl +++ b/infra/charts/datasets-server/templates/splits-worker/_container.tpl @@ -7 +7 @@ - value: {{ .Values.splitsWorker.datasetsBlocklist | quote }} + value: {{ .Values.datasetsBlocklist | quote }} @@ -19,2 +19,2 @@ - name: datasets-server-secrets - key: hfToken + name: {{ .Values.secrets.hfToken | quote }} + key: HF_TOKEN @@ -38 +37,0 @@ - {{- if .Values.mongodb.enabled }} @@ -40 +39,8 @@ - value: {{ include "mongodb.url" . }} + {{- if .Values.mongodb.enabled }} + value: mongodb://{{.Release.Name}}-mongodb + {{- else }} + valueFrom: + secretKeyRef: + name: {{ .Values.secrets.mongoUrl | quote }} + key: MONGO_URL + optional: false @@ -53 +59 @@ - image: "{{ .Values.splitsWorker.image.repository }}/{{ .Values.splitsWorker.image.name }}:{{ .Values.splitsWorker.image.tag }}" + image: "{{ .Values.splitsWorker.image.repository }}/{{ .Values.splitsWorker.image.name }}:{{ .Values.docker.tag }}" diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index c73840eb..ec90161c 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -15,0 +16,4 @@ storage: +secrets: + hfToken: datasets-server-hf-token + mongoUrl: false + @@ -19,0 +24,6 @@ gid: 3000 +# Datasets blocklist +datasetsBlocklist: "" + +docker: + tag: sha-b793bcf + @@ -60 +69,0 @@ api: - tag: sha-2d71d7e @@ -101 +109,0 @@ datasetsWorker: - tag: sha-2d71d7e @@ -118,2 +125,0 @@ datasetsWorker: - # Datasets blocklist - datasetsBlocklist: "" @@ -143 +149 @@ datasetsWorker: - workerSleepSeconds: 5 + workerSleepSeconds: 15 @@ -149 +154,0 @@ splitsWorker: - tag: sha-2d71d7e @@ -165,2 +169,0 @@ splitsWorker: - # Datasets blocklist - datasetsBlocklist: "" @@ -190 +193 @@ splitsWorker: - workerSleepSeconds: 5 + workerSleepSeconds: 15 diff --git a/infra/docs/kubernetes.md b/infra/docs/kubernetes.md index 24b37e32..996af270 100644 --- a/infra/docs/kubernetes.md +++ b/infra/docs/kubernetes.md @@ -245 +245 @@ metadata: - name: datasets-server-secrets + name: datasets-server-hf-token @@ -248 +248 @@ data: - hfToken: yyyyy + HF_TOKEN: yyyyy @@ -260 +260 @@ Alternatively, we can generate the secret with: -kubectl create secret generic datasets-server-secrets --from-literal=hfToken='yyyyy' +kubectl create secret generic datasets-server-hf-token --from-literal=HF_TOKEN='hf_app_xxxx' diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 9b9ef05d..6e60c471 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -3,0 +4 @@ import pytest +from libcache.cache import clean_database as clean_cache_database @@ -8 +8,0 @@ from libcache.cache import ( -from libcache.cache import clean_database as clean_cache_database diff --git a/services/worker/.env.example b/services/worker/.env.example index 9b9df1e8..fa96695e 100644 --- a/services/worker/.env.example +++ b/services/worker/.env.example @@ -50 +50 @@ -# WORKER_SLEEP_SECONDS = 5 +# WORKER_SLEEP_SECONDS = 15 diff --git a/services/worker/README.md b/services/worker/README.md index 76b1ee0e..65ff8563 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -44 +44 @@ Set environment variables to configure the following aspects: -- `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. Defaults to `5`. +- `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/services/worker/src/worker/constants.py b/services/worker/src/worker/constants.py index 02ba8044..d274af77 100644 --- a/services/worker/src/worker/constants.py +++ b/services/worker/src/worker/constants.py @@ -19 +19 @@ DEFAULT_ROWS_MIN_NUMBER: int = 10 -DEFAULT_WORKER_SLEEP_SECONDS: int = 5 +DEFAULT_WORKER_SLEEP_SECONDS: int = 15 diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index a1dc3722..f561afba 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -49,0 +50,3 @@ def process_next_dataset_job() -> bool: + except Exception as err: + logger.debug(f"unknown exception: {err}") + raise @@ -160 +163,4 @@ def loop() -> None: - process_next_job() + if process_next_job(): + # loop immediately to try another job + # see https://github.com/huggingface/datasets-server/issues/265 + continue @@ -163,2 +169 @@ def loop() -> None: - else: - sleep() + sleep()
b793bcfa8e2be016a90e54072c8bafaefbc2bdba
Sylvain Lesage
2022-05-13T13:18:00
fix: 🐛 add support for mongodb+srv:// URLs using dnspython (#263)
diff --git a/infra/charts/datasets-server/env/prod.yaml b/infra/charts/datasets-server/env/prod.yaml new file mode 100644 index 00000000..5e2b5e16 --- /dev/null +++ b/infra/charts/datasets-server/env/prod.yaml @@ -0,0 +1,60 @@ +mongodb: + enabled: false + +storage: + nfs: + path: "/fsx" + server: "svm-0adb40782285e2ec6.fs-0220b222fb471f3b9.fsx.us-east-1.amazonaws.com" + +secrets: + hfToken: hf-token + mongodbUrl: mongodb-url + +domain: "datasets-server-prod.us.dev.moon.huggingface.tech" + +reverseProxy: + replicas: 1 + + 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-prod.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-prod" + alb.ingress.kubernetes.io/scheme: "internet-facing" + alb.ingress.kubernetes.io/tags: "Env=prod,Project=datasets-server,Terraform=true" + kubernetes.io/ingress.class: "alb" + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 + +api: + replicas: 1 + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 + +datasetsWorker: + replicas: 2 + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 + +splitsWorker: + replicas: 5 + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index 5fd3494e..74b9b592 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -3 +3 @@ name = "anyio" -version = "3.5.0" +version = "3.6.1" @@ -15 +15 @@ doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"] -test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] +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)"] @@ -50 +50 @@ name = "azure-core" -version = "1.23.1" +version = "1.24.0" @@ -78 +78 @@ name = "azure-storage-blob" -version = "12.11.0" +version = "12.12.0" @@ -85 +85 @@ python-versions = ">=3.6" -azure-core = ">=1.15.0,<2.0.0" +azure-core = ">=1.23.1,<2.0.0" @@ -181 +181 @@ name = "coverage" -version = "6.3.2" +version = "6.3.3" @@ -192 +192 @@ name = "cryptography" -version = "37.0.1" +version = "37.0.2" @@ -208,0 +209,12 @@ test = ["pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", +[[package]] +name = "dnspython" +version = "1.16.0" +description = "DNS toolkit" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[package.extras] +DNSSEC = ["pycryptodome", "ecdsa (>=0.13)"] +IDNA = ["idna (>=2.1)"] + @@ -269 +281 @@ name = "elasticsearch" -version = "8.1.3" +version = "8.2.0" @@ -422 +434 @@ name = "mongoengine" -version = "0.23.1" +version = "0.24.1" @@ -429 +441 @@ python-versions = ">=3.6" -pymongo = ">=3.4,<4.0" +pymongo = ">=3.4,<5.0" @@ -570 +582 @@ name = "pbr" -version = "5.8.1" +version = "5.9.0" @@ -680 +692 @@ name = "pyjwt" -version = "2.3.0" +version = "2.4.0" @@ -702,0 +715,3 @@ python-versions = "*" +[package.dependencies] +dnspython = {version = ">=1.16.0,<1.17.0", optional = true, markers = "extra == \"srv\""} + @@ -715 +730 @@ name = "pyparsing" -version = "3.0.8" +version = "3.0.9" @@ -763 +778 @@ name = "python-arango" -version = "7.3.3" +version = "7.3.4" @@ -1031 +1046 @@ python-versions = "3.9.6" -content-hash = "5a869058e694d644d782d545734ee362c4883d0ccaaf30e38f4fb5e516013fb4" +content-hash = "baad823c55c4c6061c0c0281408258433cb2b9f7db22117161da636f28f6d8d4" @@ -1035,2 +1050,2 @@ anyio = [ - {file = "anyio-3.5.0-py3-none-any.whl", hash = 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tests + docker-compose -f tests/docker-compose.yml down @@ -23 +25,3 @@ coverage: - ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_server_cache_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + docker-compose -f tests/docker-compose.yml up -d + ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_server_cache_test" MONGO_QUEUE_DATABASE="datasets_server_queue_test" MONGO_URL="mongodb://localhost:27019" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + docker-compose -f tests/docker-compose.yml down diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index ead29f2d..f0e5881c 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -45 +45 @@ name = "anyio" -version = "3.5.0" +version = "3.6.1" @@ -57 +57 @@ doc = ["packaging", "sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"] -test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", 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7825bb89e74dd5c5d32d5695201cbc8da7c58e3c
Sylvain Lesage
2022-05-13T10:57:37
feat: 🎸 upgrade images to get /prometheus endpoint (#262)
diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index 16c0f241..c73840eb 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -60 +60 @@ api: - tag: sha-eea6c56 + tag: sha-2d71d7e @@ -101 +101 @@ datasetsWorker: - tag: sha-eea6c56 + tag: sha-2d71d7e @@ -149 +149 @@ splitsWorker: - tag: sha-eea6c56 + tag: sha-2d71d7e
2d71d7edb50cc6f7dd6a577d875bd3eb6daea893
Sylvain Lesage
2022-05-13T09:30:03
Add metrics (#258)
diff --git a/docker-compose.yml b/docker-compose.yml index 9d4a923d..9860d6d5 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -6,3 +6,3 @@ services: - - ./infra/charts/datasets-server/nginx-templates/:/etc/nginx/templates:ro - - reverse-proxy-cache:/nginx-cache - - assets:/assets:ro + - ./infra/charts/datasets-server/nginx-templates/:/etc/nginx/templates:ro + - reverse-proxy-cache:/nginx-cache + - assets:/assets:ro @@ -10 +10 @@ services: - - "8000:80" + - "8000:80" @@ -12,8 +12,8 @@ services: - - ASSETS_DIRECTORY=/assets - - CACHE_DIRECTORY=/nginx-cache - - CACHE_INACTIVE=24h - - CACHE_MAX_SIZE=1g - - CACHE_ZONE_SIZE=50m - - HOST=localhost - - PORT=80 - - TARGET_URL=http://api:8080 + - ASSETS_DIRECTORY=/assets + - CACHE_DIRECTORY=/nginx-cache + - CACHE_INACTIVE=24h + - CACHE_MAX_SIZE=1g + - CACHE_ZONE_SIZE=50m + - HOST=localhost + - PORT=80 + - TARGET_URL=http://api:8080 @@ -30 +29,0 @@ services: - APP_PORT: 8080 @@ -31,0 +31,2 @@ services: + APP_NUM_WORKERS: 1 + APP_PORT: 8080 @@ -34 +34,0 @@ services: - WEB_CONCURRENCY: 1 diff --git a/e2e/tests/test_api.py b/e2e/tests/test_api.py index 44db8d7a..42275fea 100644 --- a/e2e/tests/test_api.py +++ b/e2e/tests/test_api.py @@ -16,4 +16,9 @@ def test_get_dataset(): - response = requests.get(f"{URL}/queue") - json = response.json() - datasets = json["datasets"] - assert datasets["waiting"] + datasets["started"] + datasets["success"] >= 1 + response = requests.get(f"{URL}/prometheus") + lines = response.text.split("\n") + metrics = {line.split(" ")[0]: float(line.split(" ")[1]) for line in lines if line and line[0] != "#"} + assert ( + metrics['queue_jobs_total{queue="datasets",status="waiting"}'] + + metrics['queue_jobs_total{queue="datasets",status="started"}'] + + metrics['queue_jobs_total{queue="datasets",status="success"}'] + >= 1 + ) diff --git a/infra/charts/datasets-server/templates/api/_container.tpl b/infra/charts/datasets-server/templates/api/_container.tpl index 1e0714ab..44702263 100644 --- a/infra/charts/datasets-server/templates/api/_container.tpl +++ b/infra/charts/datasets-server/templates/api/_container.tpl @@ -5,0 +6,2 @@ + - name: APP_NUM_WORKERS + value: {{ .Values.api.appNumWorkers | quote }} @@ -24,2 +25,0 @@ - - name: WEB_CONCURRENCY - value: {{ .Values.api.webConcurrency | quote }} diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index e10a99fb..16c0f241 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -60 +60 @@ api: - tag: sha-b58ef46 + tag: sha-eea6c56 @@ -85 +85,3 @@ api: - # Application port + # Number of uvicorn workers for running the application + appNumWorkers: "2" + # Application endpoint port @@ -93,2 +94,0 @@ api: - # Number of uvicorn workers - webConcurrency: "2" @@ -101 +101 @@ datasetsWorker: - tag: sha-b58ef46 + tag: sha-eea6c56 @@ -149 +149 @@ splitsWorker: - tag: sha-b58ef46 + tag: sha-eea6c56 diff --git a/services/api/.env.example b/services/api/.env.example index 1c7a855c..49173807 100644 --- a/services/api/.env.example +++ b/services/api/.env.example @@ -3,0 +4,3 @@ +# Number of uvicorn workers to run the application +# APP_NUM_WORKERS = 2 + @@ -28,2 +30,0 @@ -# Number of uvicorn workers -# WEB_CONCURRENCY = 2 diff --git a/services/api/Dockerfile b/services/api/Dockerfile index 07212333..a14aec62 100644 --- a/services/api/Dockerfile +++ b/services/api/Dockerfile @@ -28,2 +27,0 @@ RUN poetry install -EXPOSE 8000 - diff --git a/services/api/Makefile b/services/api/Makefile index 9866faa9..4f17ed0f 100644 --- a/services/api/Makefile +++ b/services/api/Makefile @@ -13 +13,3 @@ test: - MONGO_CACHE_DATABASE="datasets_server_cache_test" MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -x tests + docker-compose -f tests/docker-compose.yml up -d + MONGO_CACHE_DATABASE="datasets_server_cache_test" MONGO_QUEUE_DATABASE="datasets_server_queue_test" MONGO_URL="mongodb://localhost:27018" poetry run python -m pytest -x tests + docker-compose -f tests/docker-compose.yml down @@ -17 +19,3 @@ coverage: - MONGO_CACHE_DATABASE="datasets_server_cache_test" MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + docker-compose -f tests/docker-compose.yml up -d + MONGO_CACHE_DATABASE="datasets_server_cache_test" MONGO_QUEUE_DATABASE="datasets_server_queue_test" MONGO_URL="mongodb://localhost:27018" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + docker-compose -f tests/docker-compose.yml down diff --git a/services/api/README.md b/services/api/README.md index bcf1af73..b62ea9f2 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -19,2 +19,3 @@ Set environment variables to configure the following aspects: -- `APP_HOSTNAME`: the hostname used by the app. Defaults to `"localhost"`. -- `APP_PORT`: the port used by the app. Defaults to `8000`. +- `API_HOSTNAME`: the hostname used by the API endpoint. Defaults to `"localhost"`. +- `API_NUM_WORKERS`: the number of workers of the API endpoint. Defaults to `2`. +- `API_PORT`: the port used by the API endpoint. Defaults to `8000`. @@ -28 +28,0 @@ Set environment variables to configure the following aspects: -- `WEB_CONCURRENCY`: the number of workers. For now, it's ignored and hardcoded to 1 because the cache is not shared yet. Defaults to `2`. @@ -48 +48 @@ make watch -Example: https://datasets-preview.huggingface.tech/healthcheck +Example: https://datasets-server.huggingface.tech/healthcheck @@ -58,24 +57,0 @@ Responses: -### /cache - -> Give statistics about the content of the cache - -Example: https://datasets-preview.huggingface.tech/cache - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which gives statistics about the datasets in the cache, with the following structure: - -```json -{ - "datasets": { "empty": 0, "error": 0, "stalled": 0, "valid": 1 }, - "splits": { "empty": 1, "error": 1, "stalled": 0, "valid": 0 }, - "created_at": "2022-01-20T14:40:50Z" -} -``` - -Beware: a "dataset" is considered valid if it has fetched correctly the configs and splits. The splits themselves can have errors (ie: the rows or columns might have errors) - @@ -86 +62 @@ Beware: a "dataset" is considered valid if it has fetched correctly the configs -Example: https://datasets-preview.huggingface.tech/cache-reports +Example: https://datasets-server.huggingface.tech/cache-reports @@ -156 +132 @@ Beware: a "dataset" is considered valid if it has fetched correctly the configs -Example: https://datasets-preview.huggingface.tech/valid +Example: https://datasets-server.huggingface.tech/valid @@ -177 +153 @@ Responses: -Example: https://datasets-preview.huggingface.tech/is-valid?dataset=glue +Example: https://datasets-server.huggingface.tech/is-valid?dataset=glue @@ -199 +175 @@ Responses: -Example: https://datasets-preview.huggingface.tech/hf-datasets-count-by-cache-status +Example: https://datasets-server.huggingface.tech/hf-datasets-count-by-cache-status @@ -231,34 +206,0 @@ The meaning is the following: -### /queue - -> Give statistics about the content of the queue - -Example: https://datasets-preview.huggingface.tech/queue - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which gives statistics about the queue, with the following structure: - -```json -{ - "datasets": { - "waiting": 0, - "started": 0, - "success": 1, - "error": 0, - "cancelled": 0 - }, - "splits": { - "waiting": 0, - "started": 0, - "success": 0, - "error": 0, - "cancelled": 34 - }, - "created_at": "2022-01-20T13:52:05Z" -} -``` - @@ -269 +211 @@ Responses: -Example: https://datasets-preview.huggingface.tech/queue-dump +Example: https://datasets-server.huggingface.tech/queue-dump @@ -321 +263 @@ Responses: -Example: https://datasets-preview.huggingface.tech/queue-dump-waiting-started +Example: https://datasets-server.huggingface.tech/queue-dump-waiting-started @@ -349 +291 @@ Responses: -Example: https://datasets-preview.huggingface.tech/webhook +Example: https://datasets-server.huggingface.tech/webhook @@ -382 +324 @@ MODELS=(amazon_polarity ami arabic_billion_words) -for model in ${MODELS[@]}; do curl -X POST https://datasets-preview.huggingface.tech/webhook -H 'Content-Type: application/json' -d '{"update": "datasets/'$model'"}'; done; +for model in ${MODELS[@]}; do curl -X POST https://datasets-server.huggingface.tech/webhook -H 'Content-Type: application/json' -d '{"update": "datasets/'$model'"}'; done; @@ -389 +331 @@ for model in ${MODELS[@]}; do curl -X POST https://datasets-preview.huggingface. -Example: https://datasets-preview.huggingface.tech/refresh-split +Example: https://datasets-server.huggingface.tech/refresh-split @@ -420 +362 @@ Responses: -Example: https://datasets-preview.huggingface.tech/hf_datasets +Example: https://datasets-server.huggingface.tech/hf_datasets @@ -487 +429 @@ Responses: -Example: https://datasets-preview.huggingface.tech/splits?dataset=glue +Example: https://datasets-server.huggingface.tech/splits?dataset=glue @@ -537 +479 @@ Note that the value of `"num_bytes"` and `"num_examples"` is set to `null` if th -Example: https://datasets-preview.huggingface.tech/rows?dataset=glue&config=ax&split=test +Example: https://datasets-server.huggingface.tech/rows?dataset=glue&config=ax&split=test @@ -639 +581 @@ Responses: -Example: https://datasets-preview.huggingface.tech/assets/food101/--/default/train/0/image/2885220.jpg +Example: https://datasets-server.huggingface.tech/assets/food101/--/default/train/0/image/2885220.jpg @@ -659,0 +602,43 @@ Responses: + +### /prometheus + +> return a list of metrics in the Prometheus format + +Example: https://datasets-server.huggingface.tech/prometheus + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: text content in the Prometheus format: + +```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="/prometheus"} 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="stalled"} 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="stalled"} 0.0 +cache_entries_total{cache="splits",status="valid"} 2.0 +``` diff --git a/services/api/poetry.lock b/services/api/poetry.lock index b9496888..23426167 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -718,0 +719,11 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "sphinx (>=3.0.3)", "pytest +[[package]] +name = "prometheus-client" +version = "0.12.0" +description = "Python client for the Prometheus monitoring system." +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[package.extras] +twisted = ["twisted"] + @@ -1041,0 +1053,12 @@ full = ["itsdangerous", "jinja2", "python-multipart", "pyyaml", "requests", "gra +[[package]] +name = "starlette-prometheus" +version = "0.9.0" +description = "Prometheus integration for Starlette" +category = "main" +optional = false +python-versions = ">=3.7,<4.0" + +[package.dependencies] +prometheus_client = ">=0.12,<0.13" +starlette = ">=0.12.2" + @@ -1164 +1187 @@ python-versions = "3.9.6" -content-hash = "a328e495824dfa9b44ef09d4a5470aceca09cd34b8d5206644d75e0d31133b1b" +content-hash = "4e0781c9059d07cfda1a4419eee819ad7a24ef7b84f0d998077b7c0619dc18f6" @@ -1594,0 +1618,4 @@ portalocker = [ +prometheus-client = [ + {file = "prometheus_client-0.12.0-py2.py3-none-any.whl", hash = "sha256:317453ebabff0a1b02df7f708efbab21e3489e7072b61cb6957230dd004a0af0"}, + {file = "prometheus_client-0.12.0.tar.gz", hash = "sha256:1b12ba48cee33b9b0b9de64a1047cbd3c5f2d0ab6ebcead7ddda613a750ec3c5"}, +] @@ -1961,0 +1989,4 @@ starlette = [ +starlette-prometheus = [ + {file = "starlette-prometheus-0.9.0.tar.gz", hash = "sha256:a52fb0f1df52b44a7a677a792759337ef0ce0d59ddf3e684a7d6459a93a90e99"}, + {file = "starlette_prometheus-0.9.0-py3-none-any.whl", hash = "sha256:b4702e4ec67dce508d28551db0e45f12f58411afdb5d1078c92ff74331915381"}, +] diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index ec510f60..943a2181 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -14,0 +15 @@ starlette = "^0.16.0" +starlette-prometheus = "^0.9.0" diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index f8f78338..7de11f45 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -10,0 +11 @@ from starlette.staticfiles import StaticFiles +from starlette_prometheus import PrometheusMiddleware @@ -13,0 +15 @@ from api.config import ( + APP_NUM_WORKERS, @@ -20 +21,0 @@ from api.config import ( - WEB_CONCURRENCY, @@ -21,0 +23 @@ from api.config import ( +from api.prometheus import Prometheus @@ -23 +24,0 @@ from api.routes.cache_reports import cache_reports_endpoint -from api.routes.cache_stats import cache_stats_endpoint @@ -33 +33,0 @@ from api.routes.queue_dump import ( -from api.routes.queue_stats import queue_stats_endpoint @@ -45,0 +46 @@ def create_app() -> Starlette: + prometheus = Prometheus() @@ -47 +48 @@ def create_app() -> Starlette: - middleware = [Middleware(GZipMiddleware)] + middleware = [Middleware(GZipMiddleware), Middleware(PrometheusMiddleware, filter_unhandled_paths=True)] @@ -50 +50,0 @@ def create_app() -> Starlette: - Route("/cache", endpoint=cache_stats_endpoint), @@ -56 +56 @@ def create_app() -> Starlette: - Route("/queue", endpoint=queue_stats_endpoint), + Route("/prometheus", endpoint=prometheus.endpoint), @@ -69 +69 @@ def start() -> None: - uvicorn.run("app:create_app", host=APP_HOSTNAME, port=APP_PORT, factory=True, workers=WEB_CONCURRENCY) + uvicorn.run("app:create_app", host=APP_HOSTNAME, port=APP_PORT, factory=True, workers=APP_NUM_WORKERS) diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py index c8442650..dbc93d3b 100644 --- a/services/api/src/api/config.py +++ b/services/api/src/api/config.py @@ -7,0 +8 @@ from api.constants import ( + DEFAULT_APP_NUM_WORKERS, @@ -16 +16,0 @@ from api.constants import ( - DEFAULT_WEB_CONCURRENCY, @@ -22,0 +23 @@ APP_HOSTNAME = get_str_value(d=os.environ, key="APP_HOSTNAME", default=DEFAULT_A +APP_NUM_WORKERS = get_int_value(d=os.environ, key="APP_NUM_WORKERS", default=DEFAULT_APP_NUM_WORKERS) @@ -31 +31,0 @@ MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_U -WEB_CONCURRENCY = get_int_value(d=os.environ, key="WEB_CONCURRENCY", default=DEFAULT_WEB_CONCURRENCY) diff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py index 95e2b6d0..f01c0d42 100644 --- a/services/api/src/api/constants.py +++ b/services/api/src/api/constants.py @@ -1,0 +2 @@ DEFAULT_APP_HOSTNAME: str = "localhost" +DEFAULT_APP_NUM_WORKERS: int = 2 @@ -11 +11,0 @@ DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" -DEFAULT_WEB_CONCURRENCY: int = 2 diff --git a/services/api/src/api/prometheus.py b/services/api/src/api/prometheus.py new file mode 100644 index 00000000..e51f6f1f --- /dev/null +++ b/services/api/src/api/prometheus.py @@ -0,0 +1,60 @@ +import os +from typing import Dict + +from libcache.cache import get_datasets_count_by_status, get_splits_count_by_status +from libqueue.queue import ( + get_dataset_jobs_count_by_status, + get_split_jobs_count_by_status, +) +from prometheus_client import ( # type: ignore # https://github.com/prometheus/client_python/issues/491 + CONTENT_TYPE_LATEST, + REGISTRY, + CollectorRegistry, + Gauge, + generate_latest, +) +from prometheus_client.multiprocess import ( # type: ignore # https://github.com/prometheus/client_python/issues/491 + MultiProcessCollector, +) +from starlette.requests import Request +from starlette.responses import Response + + +class Prometheus: + metrics: Dict[str, Gauge] = {} + + def __init__(self): + self.initMetrics() + + def getRegistry(self) -> CollectorRegistry: + # taken from https://github.com/perdy/starlette-prometheus/blob/master/starlette_prometheus/view.py + if "prometheus_multiproc_dir" in os.environ: + registry = CollectorRegistry() + MultiProcessCollector(registry) + else: + registry = REGISTRY + return registry + + # add metrics from the databases + def initMetrics(self): + self.metrics["queue_jobs_total"] = Gauge( + "queue_jobs_total", "Number of jobs in the queue", ["queue", "status"] + ) + self.metrics["cache_entries_total"] = Gauge( + "cache_entries_total", "Number of entries in the cache", ["cache", "status"] + ) + + def updateMetrics(self): + for status, total in get_dataset_jobs_count_by_status().items(): + self.metrics["queue_jobs_total"].labels(queue="datasets", status=status).set(total) + for status, total in get_split_jobs_count_by_status().items(): + self.metrics["queue_jobs_total"].labels(queue="splits", status=status).set(total) + for status, total in get_datasets_count_by_status().items(): + self.metrics["cache_entries_total"].labels(cache="datasets", status=status).set(total) + for status, total in get_splits_count_by_status().items(): + self.metrics["cache_entries_total"].labels(cache="splits", status=status).set(total) + + def endpoint(self, request: Request) -> Response: + self.updateMetrics() + + return Response(generate_latest(self.getRegistry()), headers={"Content-Type": CONTENT_TYPE_LATEST}) diff --git a/services/api/src/api/routes/cache_stats.py b/services/api/src/api/routes/cache_stats.py deleted file mode 100644 index 1ece1a40..00000000 --- a/services/api/src/api/routes/cache_stats.py +++ /dev/null @@ -1,21 +0,0 @@ -import logging -import time - -from libcache.cache import get_datasets_count_by_status, get_splits_count_by_status -from starlette.requests import Request -from starlette.responses import Response - -from api.config import MAX_AGE_SHORT_SECONDS -from api.routes._utils import get_response - -logger = logging.getLogger(__name__) - - -async def cache_stats_endpoint(_: Request) -> Response: - logger.info("/cache") - content = { - "datasets": get_datasets_count_by_status(), - "splits": get_splits_count_by_status(), - "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), - } - return get_response(content, 200, MAX_AGE_SHORT_SECONDS) diff --git a/services/api/src/api/routes/queue_stats.py b/services/api/src/api/routes/queue_stats.py deleted file mode 100644 index f4425fe8..00000000 --- a/services/api/src/api/routes/queue_stats.py +++ /dev/null @@ -1,24 +0,0 @@ -import logging -import time - -from libqueue.queue import ( - get_dataset_jobs_count_by_status, - get_split_jobs_count_by_status, -) -from starlette.requests import Request -from starlette.responses import Response - -from api.config import MAX_AGE_SHORT_SECONDS -from api.routes._utils import get_response - -logger = logging.getLogger(__name__) - - -async def queue_stats_endpoint(_: Request) -> Response: - logger.info("/queue") - content = { - "datasets": get_dataset_jobs_count_by_status(), - "splits": get_split_jobs_count_by_status(), - "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), - } - return get_response(content, 200, MAX_AGE_SHORT_SECONDS) diff --git a/services/api/tests/_utils.py b/services/api/tests/_utils.py deleted file mode 100644 index a240f02a..00000000 --- a/services/api/tests/_utils.py +++ /dev/null @@ -1,9 +0,0 @@ -import os - -from libutils.utils import get_str_value - -DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_server_queue_test" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27017" - -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) diff --git a/services/api/tests/docker-compose.yml b/services/api/tests/docker-compose.yml new file mode 100644 index 00000000..459d2d4d --- /dev/null +++ b/services/api/tests/docker-compose.yml @@ -0,0 +1,10 @@ +version: "3.9" +services: + mongodb-test: + image: mongo + volumes: + - mongo-test:/data/db:rw + ports: + - 27018:27017 +volumes: + mongo-test: diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index bc46721e..f873ca00 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -10 +9,0 @@ from libqueue.queue import clean_database as clean_queue_database -from libqueue.queue import connect_to_queue @@ -14,2 +13 @@ from api.app import create_app - -from ._utils import MONGO_QUEUE_DATABASE, MONGO_URL +from api.config import MONGO_QUEUE_DATABASE @@ -28 +25,0 @@ def client() -> TestClient: - connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) @@ -58,13 +54,0 @@ def clean_mongo_databases() -> None: -def test_get_cache_stats(client: TestClient) -> None: - response = client.get("/cache") - 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 "stalled" in datasets - assert "valid" in datasets - - @@ -348,0 +333,14 @@ def test_split_cache_refreshing(client: TestClient) -> None: + + +def test_prometheus(client: TestClient) -> None: + response = client.get("/prometheus") + assert response.status_code == 200 + text = response.text + lines = text.split("\n") + metrics = {line.split(" ")[0]: float(line.split(" ")[1]) for line in lines if line and line[0] != "#"} + name = "process_start_time_seconds" + assert name in metrics + assert metrics[name] > 0 + name = "process_start_time_seconds" + assert 'queue_jobs_total{queue="datasets",status="waiting"}' in metrics + assert 'cache_entries_total{cache="datasets",status="empty"}' in metrics
730e32de2dae466774219e5b0c63416e0c20866c
Sylvain Lesage
2022-05-12T08:48:34
feat: 🎸 use images with datasets 2.2.1 (#254)
diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index b23ea809..e10a99fb 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -60 +60 @@ api: - tag: sha-76e7cd1 + tag: sha-b58ef46 @@ -101 +101 @@ datasetsWorker: - tag: sha-76e7cd1 + tag: sha-b58ef46 @@ -149 +149 @@ splitsWorker: - tag: sha-76e7cd1 + tag: sha-b58ef46
b58ef460f1fd683295f59cd3ecbdc12607836931
Sylvain Lesage
2022-05-12T08:33:24
feat: 🎸 upgrade datasets to 2.2.1 (#253)
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index fb72b39b..ead29f2d 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -412 +412 @@ name = "datasets" -version = "2.2.0" +version = "2.2.1" @@ -439 +439 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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)", "importlib-resources"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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)", "importlib-resources"] @@ -445 +445 @@ 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", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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", "importlib-resources"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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", "importlib-resources"] @@ -759 +759 @@ name = "grpcio" -version = "1.46.0" +version = "1.46.1" @@ -769 +769 @@ six = ">=1.5.2" -protobuf = ["grpcio-tools (>=1.46.0)"] +protobuf = ["grpcio-tools (>=1.46.1)"] @@ -813 +813 @@ name = 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ced27530a6e04bfb2d723528ba9c5574f6fef771
Sylvain Lesage
2022-05-11T14:58:51
feat: 🎸 upgrade the docker images to use datasets 2.2.0 (#247)
diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index cebf2a35..b23ea809 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -60 +60 @@ api: - tag: sha-3dbea82 + tag: sha-76e7cd1 @@ -101 +101 @@ datasetsWorker: - tag: sha-3dbea82 + tag: sha-76e7cd1 @@ -149 +149 @@ splitsWorker: - tag: sha-3dbea82 + tag: sha-76e7cd1
7b831d8ea5c0caaa8d1862f7253abe30fe5de6a4
Sylvain Lesage
2022-05-11T14:54:56
feat: 🎸 upgrade datasets to 2.2.0 (#246)
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 6cfb4cb2..fb72b39b 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -158 +158 @@ name = "azure-core" -version = "1.23.1" +version = "1.24.0" @@ -186 +186 @@ name = "azure-storage-blob" -version = "12.11.0" +version = "12.12.0" @@ -193 +193 @@ python-versions = ">=3.6" -azure-core = ">=1.15.0,<2.0.0" +azure-core = ">=1.23.1,<2.0.0" @@ -393 +393 @@ name = "cryptography" -version = "37.0.1" +version = "37.0.2" @@ -412 +412 @@ name = "datasets" -version = "2.1.0" +version = "2.2.0" @@ -429 +429 @@ Pillow = {version = ">=6.2.1", optional = true, markers = "extra == \"vision\""} -pyarrow = ">=5.0.0" +pyarrow = ">=6.0.0" @@ -439 +439 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", 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9dcaa09a78b5670861d6b9bd0120ae1dcd05ac2c
Sylvain Lesage
2022-05-11T14:13:06
Nginx proxy (#245)
diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace index 4b1dc756..f1d9cb32 100644 --- a/.vscode/monorepo.code-workspace +++ b/.vscode/monorepo.code-workspace @@ -22,0 +23,4 @@ + { + "name": "services/reverse-proxy", + "path": "../services/reverse-proxy" + }, diff --git a/docker-compose.yml b/docker-compose.yml index 371e7482..9d4a923d 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -2,0 +3,20 @@ services: + reverse-proxy: + image: nginx:1.20 + volumes: + - ./infra/charts/datasets-server/nginx-templates/:/etc/nginx/templates:ro + - reverse-proxy-cache:/nginx-cache + - assets:/assets:ro + ports: + - "8000:80" + environment: + - ASSETS_DIRECTORY=/assets + - CACHE_DIRECTORY=/nginx-cache + - CACHE_INACTIVE=24h + - CACHE_MAX_SIZE=1g + - CACHE_ZONE_SIZE=50m + - HOST=localhost + - PORT=80 + - TARGET_URL=http://api:8080 + depends_on: + api: + condition: service_started @@ -10 +30 @@ services: - APP_PORT: 8000 + APP_PORT: 8080 @@ -16 +36 @@ services: - - 8000:8000 + - 8080:8080 @@ -56,0 +77 @@ volumes: + reverse-proxy-cache: diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml index 5d22ae7e..3aa8e761 100644 --- a/infra/charts/datasets-server/env/dev.yaml +++ b/infra/charts/datasets-server/env/dev.yaml @@ -11 +11 @@ domain: "datasets-server.us.dev.moon.huggingface.tech" -api: +reverseProxy: @@ -30,0 +31,9 @@ api: +api: + replicas: 1 + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 + diff --git a/infra/charts/datasets-server/nginx-templates/default.conf.template b/infra/charts/datasets-server/nginx-templates/default.conf.template new file mode 100644 index 00000000..e78bb753 --- /dev/null +++ b/infra/charts/datasets-server/nginx-templates/default.conf.template @@ -0,0 +1,31 @@ +proxy_cache_path ${CACHE_DIRECTORY}/ levels=1:2 keys_zone=STATIC:${CACHE_ZONE_SIZE} inactive=${CACHE_INACTIVE} max_size=${CACHE_MAX_SIZE}; + +server { + listen ${PORT}; + listen [::]:${PORT}; + server_name ${HOST}; + + add_header 'Access-Control-Allow-Origin' '*' always; + + location /assets/ { + alias ${ASSETS_DIRECTORY}/; + } + + location / { + proxy_pass ${TARGET_URL}; + 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; + add_header X-Cache-Status $upstream_cache_status; + } +} diff --git a/infra/charts/datasets-server/templates/_helpers.tpl b/infra/charts/datasets-server/templates/_helpers.tpl index bc3c28dc..114c4212 100644 --- a/infra/charts/datasets-server/templates/_helpers.tpl +++ b/infra/charts/datasets-server/templates/_helpers.tpl @@ -44,0 +45,5 @@ chart: "{{ include "name" . }}" +{{- define "labels.reverseProxy" -}} +{{ include "labels" . }} +app: "{{ .Release.Name }}-reverse-proxy" +{{- end -}} + @@ -77,0 +83,8 @@ The cache/ subpath in the NFS +{{/* +The 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 assets/ dir +*/}} +{{- define "nginx.cache.subpath" -}} +{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "nginx-cache" }} +{{- end }} @@ -85,0 +99,8 @@ It's named using the Release name + +{{/* +The URL to access the API service from another container +See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records +*/}} +{{- define "api.url" -}} +{{- printf "http://%s-api.%s.svc.cluster.local:80" ( include "release" . ) ( .Release.Namespace ) }} +{{- end }} diff --git a/infra/charts/datasets-server/templates/_initContainerAssets.tpl b/infra/charts/datasets-server/templates/_initContainerAssets.tpl index b0852c05..71c046c6 100644 --- a/infra/charts/datasets-server/templates/_initContainerAssets.tpl +++ b/infra/charts/datasets-server/templates/_initContainerAssets.tpl @@ -7 +7 @@ - - chown {{ .Values.uid }}:{{ .Values.gid }} {{ .Values.storage.assetsDirectory | quote }}; + - chown {{ .Values.uid }}:{{ .Values.gid }} /mounted-path; @@ -9 +9 @@ - - mountPath: {{ .Values.storage.assetsDirectory | quote }} + - mountPath: /mounted-path diff --git a/infra/charts/datasets-server/templates/_initContainerCache.tpl b/infra/charts/datasets-server/templates/_initContainerCache.tpl index b3f8d87b..baeae66a 100644 --- a/infra/charts/datasets-server/templates/_initContainerCache.tpl +++ b/infra/charts/datasets-server/templates/_initContainerCache.tpl @@ -7 +7 @@ - - chown {{ .Values.uid }}:{{ .Values.gid }} {{ .Values.storage.cacheDirectory | quote }}; + - chown {{ .Values.uid }}:{{ .Values.gid }} /mounted-path; @@ -9 +9 @@ - - mountPath: {{ .Values.storage.cacheDirectory | quote }} + - mountPath: /mounted-path diff --git a/infra/charts/datasets-server/templates/api/_container.tpl b/infra/charts/datasets-server/templates/api/_container.tpl index 119a293f..1e0714ab 100644 --- a/infra/charts/datasets-server/templates/api/_container.tpl +++ b/infra/charts/datasets-server/templates/api/_container.tpl @@ -9 +9 @@ - value: {{ .Values.storage.assetsDirectory | quote }} + value: {{ .Values.api.assetsDirectory | quote }} @@ -29 +29 @@ - - mountPath: {{ .Values.storage.assetsDirectory | quote }} + - mountPath: {{ .Values.api.assetsDirectory | quote }} diff --git a/infra/charts/datasets-server/templates/datasets-worker/_container.tpl b/infra/charts/datasets-server/templates/datasets-worker/_container.tpl index ed547beb..4a4c4315 100644 --- a/infra/charts/datasets-server/templates/datasets-worker/_container.tpl +++ b/infra/charts/datasets-server/templates/datasets-worker/_container.tpl @@ -5 +5 @@ - value: {{ .Values.storage.assetsDirectory | quote }} + value: {{ .Values.datasetsWorker.assetsDirectory | quote }} @@ -11 +11 @@ - value: "{{ .Values.storage.cacheDirectory }}/datasets" + value: "{{ .Values.datasetsWorker.cacheDirectory }}/datasets" @@ -13 +13 @@ - value: "{{ .Values.storage.cacheDirectory }}/modules" + value: "{{ .Values.datasetsWorker.cacheDirectory }}/modules" @@ -56 +56 @@ - - mountPath: {{ .Values.storage.assetsDirectory | quote }} + - mountPath: {{ .Values.datasetsWorker.assetsDirectory | quote }} @@ -61 +61 @@ - - mountPath: {{ .Values.storage.cacheDirectory | quote }} + - mountPath: {{ .Values.datasetsWorker.cacheDirectory | quote }} diff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml index bd8e35fd..9d7dc8a6 100644 --- a/infra/charts/datasets-server/templates/ingress.yaml +++ b/infra/charts/datasets-server/templates/ingress.yaml @@ -6 +6 @@ metadata: - {{ toYaml .Values.api.ingress.annotations | nindent 4 }} + {{ toYaml .Values.reverseProxy.ingress.annotations | nindent 4 }} @@ -8 +8 @@ metadata: - {{ include "labels.api" . | nindent 4 }} + {{ include "labels.reverseProxy" . | nindent 4 }} @@ -18 +18 @@ spec: - name: "{{ include "release" . }}-api" + name: "{{ include "release" . }}-reverse-proxy" @@ -22 +21,0 @@ spec: - diff --git a/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl b/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl new file mode 100644 index 00000000..4c8ad4c2 --- /dev/null +++ b/infra/charts/datasets-server/templates/reverse-proxy/_container.tpl @@ -0,0 +1,49 @@ +{{- define "containerReverseProxy" -}} +- name: "{{ include "name" . }}-reverse-proxy" + image: "{{ .Values.reverseProxy.image.repository }}/{{ .Values.reverseProxy.image.name }}:{{ .Values.reverseProxy.image.tag }}" + imagePullPolicy: {{ .Values.reverseProxy.image.pullPolicy }} + env: + - name: ASSETS_DIRECTORY + value: {{ .Values.reverseProxy.assetsDirectory | quote }} + - 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 }} + - name: HOST + value: {{ .Values.reverseProxy.host | quote }} + - name: PORT + value: {{ .Values.reverseProxy.port | quote }} + - name: TARGET_URL + value: {{ include "api.url" . | quote }} + volumeMounts: + - name: nginx-templates + mountPath: /etc/nginx/templates + mountPropagation: None + readOnly: true + - mountPath: {{ .Values.reverseProxy.assetsDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "assets.subpath" . }}" + readOnly: true + - mountPath: {{ .Values.reverseProxy.cacheDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "nginx.cache.subpath" . }}" + readOnly: false + readinessProbe: + tcpSocket: + port: {{ .Values.reverseProxy.readinessPort }} + livenessProbe: + tcpSocket: + port: {{ .Values.reverseProxy.readinessPort }} + ports: + - containerPort: {{ .Values.reverseProxy.port }} + name: http + protocol: TCP + resources: + {{ toYaml .Values.reverseProxy.resources | nindent 4 }} +{{- end -}} diff --git a/infra/charts/datasets-server/templates/reverse-proxy/configMap.yaml b/infra/charts/datasets-server/templates/reverse-proxy/configMap.yaml new file mode 100644 index 00000000..a8f5da22 --- /dev/null +++ b/infra/charts/datasets-server/templates/reverse-proxy/configMap.yaml @@ -0,0 +1,10 @@ +apiVersion: v1 +kind: ConfigMap +metadata: + labels: + {{ include "labels.reverseProxy" . | nindent 4 }} + name: "{{ include "release" . }}-reverse-proxy" + namespace: {{ .Release.Namespace }} +data: + default.conf.template: |- + {{ .Files.Get .Values.reverseProxy.nginxTemplateFile | nindent 4 }} diff --git a/infra/charts/datasets-server/templates/reverse-proxy/deployment.yaml b/infra/charts/datasets-server/templates/reverse-proxy/deployment.yaml new file mode 100644 index 00000000..7b4f7461 --- /dev/null +++ b/infra/charts/datasets-server/templates/reverse-proxy/deployment.yaml @@ -0,0 +1,45 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + {{ include "labels.reverseProxy" . | nindent 4 }} + name: "{{ include "release" . }}-reverse-proxy" + namespace: {{ .Release.Namespace }} +spec: + progressDeadlineSeconds: 600 + replicas: {{ .Values.reverseProxy.replicas }} + revisionHistoryLimit: 10 + selector: + matchLabels: + {{ include "labels.reverseProxy" . | nindent 6 }} + strategy: + rollingUpdate: + maxSurge: 25% + maxUnavailable: 25% + type: RollingUpdate + template: + metadata: + labels: + {{ include "labels.reverseProxy" . | nindent 8 }} + spec: + initContainers: + {{ include "initContainerAssets" . | nindent 8 }} + containers: + {{ include "containerReverseProxy" . | nindent 8 }} + nodeSelector: + {{ toYaml .Values.reverseProxy.nodeSelector | nindent 8 }} + tolerations: + {{ toYaml .Values.reverseProxy.tolerations | nindent 8 }} + volumes: + - name: nfs + nfs: + server: {{ .Values.storage.nfs.server }} + path: {{ .Values.storage.nfs.path }} + - name: nginx-templates + configMap: + name: "{{ include "release" . }}-reverse-proxy" + defaultMode: 420 + optional: false + items: + - key: "default.conf.template" + path: "default.conf.template" diff --git a/infra/charts/datasets-server/templates/reverse-proxy/service.yaml b/infra/charts/datasets-server/templates/reverse-proxy/service.yaml new file mode 100644 index 00000000..93eef209 --- /dev/null +++ b/infra/charts/datasets-server/templates/reverse-proxy/service.yaml @@ -0,0 +1,18 @@ +apiVersion: v1 +kind: Service +metadata: + name: "{{ include "release" . }}-reverse-proxy" + annotations: + {{ toYaml .Values.reverseProxy.service.annotations | nindent 4 }} + namespace: {{ .Release.Namespace }} + labels: + {{ include "labels.reverseProxy" . | nindent 4 }} +spec: + ports: + - name: http + port: 80 + protocol: TCP + targetPort: {{ .Values.reverseProxy.port }} + selector: + {{ include "labels.reverseProxy" . | nindent 4 }} + type: {{ .Values.reverseProxy.service.type }} diff --git a/infra/charts/datasets-server/templates/splits-worker/_container.tpl b/infra/charts/datasets-server/templates/splits-worker/_container.tpl index 01867d18..bf0b188f 100644 --- a/infra/charts/datasets-server/templates/splits-worker/_container.tpl +++ b/infra/charts/datasets-server/templates/splits-worker/_container.tpl @@ -5 +5 @@ - value: {{ .Values.storage.assetsDirectory | quote }} + value: {{ .Values.splitsWorker.assetsDirectory | quote }} @@ -11 +11 @@ - value: "{{ .Values.storage.cacheDirectory }}/datasets" + value: "{{ .Values.splitsWorker.cacheDirectory }}/datasets" @@ -13 +13 @@ - value: "{{ .Values.storage.cacheDirectory }}/modules" + value: "{{ .Values.splitsWorker.cacheDirectory }}/modules" @@ -56 +56 @@ - - mountPath: {{ .Values.storage.assetsDirectory | quote }} + - mountPath: {{ .Values.splitsWorker.assetsDirectory | quote }} @@ -61 +61 @@ - - mountPath: {{ .Values.storage.cacheDirectory | quote }} + - mountPath: {{ .Values.splitsWorker.cacheDirectory | quote }} diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index 6cb91718..cebf2a35 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -14,4 +13,0 @@ storage: - # Directory of assets (audio files and images that will be served for the web) - assetsDirectory: "/assets" - # Directory of the "datasets" library cache (both for modules and datasets) - cacheDirectory: "/cache" @@ -23,0 +20,36 @@ gid: 3000 +reverseProxy: + image: + repository: docker.io + name: nginx + tag: "1.20" + pullPolicy: IfNotPresent + + replicas: 1 + + service: + type: NodePort + annotations: { } + + ingress: + annotations: { } + + 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 nginx cache + cacheDirectory: "/nginx-cache" + readinessPort: 80 + cacheInactive: 24h + cacheMaxSize: 1g + cacheZoneSize: 50m + host: localhost + nginxTemplateFile: "nginx-templates/default.conf.template" + port: 80 + @@ -47,0 +80,2 @@ api: + # Directory of assets (audio files and images that will be served for the web) + assetsDirectory: "/assets" @@ -79,0 +114,4 @@ datasetsWorker: + # Directory of assets (audio files and images that will be served for the web) + assetsDirectory: "/assets" + # Directory of the "datasets" library cache (both for modules and datasets) + cacheDirectory: "/cache" @@ -122,0 +161,4 @@ splitsWorker: + # Directory of assets (audio files and images that will be served for the web) + assetsDirectory: "/assets" + # Directory of the "datasets" library cache (both for modules and datasets) + cacheDirectory: "/cache" diff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md new file mode 100644 index 00000000..d8e83bf9 --- /dev/null +++ b/services/reverse-proxy/README.md @@ -0,0 +1,31 @@ +# Datasets server - reverse proxy + +> Reverse-proxy in front of the API + +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. + +The reverse proxy uses nginx: + +- it serves the static assets directly (the API also serves them if required, but it's unnecessary to go through starlette for this, and it generates errors in Safari, see [1](https://github.com/encode/starlette/issues/950) and [2](https://developer.apple.com/library/archive/documentation/AppleApplications/Reference/SafariWebContent/CreatingVideoforSafarioniPhone/CreatingVideoforSafarioniPhone.html#//apple_ref/doc/uid/TP40006514-SW6) +- it proxies the other requests to the API +- 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 + +It takes various environment variables, all of them are mandatory: + +- `ASSETS_DIRECTORY`: the directory that contains the static assets, eg `/assets` +- `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)) +- `HOST`: domain of the reverse proxy, eg `localhost` +- `PORT`: port of the reverse proxy, eg `80` +- `TARGET_URL`= URL of the API, eg `http://api:8080` + +The image requires three directories to be mounted (from volumes): + +- `$ASSETS_DIRECTORY` (read-only): the directory that contains the static assets. +- `$CACHE_DIRECTORY` (read/write): the directory that contains the nginx cache +- `/etc/nginx/templates` (read-only): the directory that contains the nginx configuration template ([templates](./templates/))
f1e83978081216a0d6b36c350faa3fa189219609
Sylvain Lesage
2022-05-11T08:55:38
Add datasets-server-worker to the Kube cluster (#236)
diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace index 9b7cd444..4b1dc756 100644 --- a/.vscode/monorepo.code-workspace +++ b/.vscode/monorepo.code-workspace @@ -34,2 +33,0 @@ - "editor.formatOnPaste": false, - "editor.formatOnSave": true, @@ -38 +36 @@ - "python.linting.flake8Enabled": true + "python.linting.flake8Enabled": true, diff --git a/infra/charts/datasets-server/Makefile b/infra/charts/datasets-server/Makefile index 43fa7e7f..5f9a1898 100644 --- a/infra/charts/datasets-server/Makefile +++ b/infra/charts/datasets-server/Makefile @@ -1 +1 @@ -RELEASE_NAME := datasets-server +CHART_NAME := datasets-server @@ -10 +10 @@ uninstall: - helm uninstall $(RELEASE_NAME) -n $(K8S_NAMESPACE) + helm uninstall $(CHART_NAME)-$(ENV) -n $(K8S_NAMESPACE) @@ -14 +14 @@ diff: - helm diff upgrade --install $(RELEASE_NAME) . --values env/$(ENV).yaml -n $(K8S_NAMESPACE) + helm diff upgrade --install $(CHART_NAME)-$(ENV) . --values env/$(ENV).yaml -n $(K8S_NAMESPACE) @@ -18 +18 @@ upgrade: - helm upgrade --install $(RELEASE_NAME) . --values env/$(ENV).yaml -n $(K8S_NAMESPACE) + helm upgrade --install $(CHART_NAME)-$(ENV) . --values env/$(ENV).yaml -n $(K8S_NAMESPACE) diff --git a/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml index bb112891..5d22ae7e 100644 --- a/infra/charts/datasets-server/env/dev.yaml +++ b/infra/charts/datasets-server/env/dev.yaml @@ -5,2 +5,5 @@ storage: - # JSON format is used because it's easier (ie. less error prone) to copy/paste the output of terraform - nfs: {"path":"/fsx","server":"svm-0006d5ba595c33b3e.fs-079a245c1521ad9fe.fsx.us-east-1.amazonaws.com"} + nfs: + path: "/fsx" + server: "svm-08a37cf73026f0b5c.fs-097afa9688029b62a.fsx.us-east-1.amazonaws.com" + +domain: "datasets-server.us.dev.moon.huggingface.tech" @@ -26,0 +30,18 @@ api: + +datasetsWorker: + replicas: 2 + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 + +splitsWorker: + replicas: 5 + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 diff --git a/infra/charts/datasets-server/templates/_helpers.tpl b/infra/charts/datasets-server/templates/_helpers.tpl index e678c41a..bc3c28dc 100644 --- a/infra/charts/datasets-server/templates/_helpers.tpl +++ b/infra/charts/datasets-server/templates/_helpers.tpl @@ -7,0 +8,7 @@ Expand the name of the chart. +{{/* +Expand the name of the release. +*/}} +{{- define "release" -}} +{{- default .Release.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }} +{{- end }} + @@ -14,0 +22,8 @@ Create chart name and version as used by the chart label. +{{/* +Selector labels +*/}} +{{- define "selectorLabels" -}} +app.kubernetes.io/name: {{ include "name" . }} +app.kubernetes.io/instance: {{ .Release.Name }} +{{- end }} + @@ -24,0 +40,3 @@ app.kubernetes.io/managed-by: {{ .Release.Service }} +release: {{ $.Release.Name | quote }} +heritage: {{ $.Release.Service | quote }} +chart: "{{ include "name" . }}" @@ -26,0 +45,15 @@ app.kubernetes.io/managed-by: {{ .Release.Service }} +{{- define "labels.api" -}} +{{ include "labels" . }} +app: "{{ include "release" . }}-api" +{{- end -}} + +{{- define "labels.datasetsWorker" -}} +{{ include "labels" . }} +app: "{{ include "release" . }}-datasets-worker" +{{- end -}} + +{{- define "labels.splitsWorker" -}} +{{ include "labels" . }} +app: "{{ include "release" . }}-splits-worker" +{{- end -}} + @@ -28 +61,3 @@ app.kubernetes.io/managed-by: {{ .Release.Service }} -Selector labels +The assets/ 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 assets/ dir @@ -30,3 +65,2 @@ Selector labels -{{- define "selectorLabels" -}} -app.kubernetes.io/name: {{ include "name" . }} -app.kubernetes.io/instance: {{ .Release.Name }} +{{- define "assets.subpath" -}} +{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "assets" }} @@ -35,7 +69,17 @@ app.kubernetes.io/instance: {{ .Release.Name }} -{{- define "labels.api" -}} -{{ include "labels" . }} -release: {{ $.Release.Name | quote }} -heritage: {{ $.Release.Service | quote }} -chart: "{{ include "name" . }}" -app: "{{ include "name" . }}-api" -{{- end -}} +{{/* +The 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 assets/ dir +*/}} +{{- define "cache.subpath" -}} +{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "cache" }} +{{- end }} + + +{{/* +The URL to access the mongodb instance created if mongodb.enable is true +It's named using the Release name +*/}} +{{- define "mongodb.url" -}} +{{- printf "mongodb://%s-mongodb" .Release.Name }} +{{- end }} diff --git a/infra/charts/datasets-server/templates/_initContainerAssets.tpl b/infra/charts/datasets-server/templates/_initContainerAssets.tpl new file mode 100644 index 00000000..b0852c05 --- /dev/null +++ b/infra/charts/datasets-server/templates/_initContainerAssets.tpl @@ -0,0 +1,18 @@ +{{- define "initContainerAssets" -}} +- name: prepare-assets + image: ubuntu:focal + imagePullPolicy: IfNotPresent + command: ["/bin/sh", "-c"] + args: + - chown {{ .Values.uid }}:{{ .Values.gid }} {{ .Values.storage.assetsDirectory | quote }}; + volumeMounts: + - mountPath: {{ .Values.storage.assetsDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "assets.subpath" . }}" + readOnly: false + securityContext: + runAsNonRoot: false + runAsUser: 0 + runAsGroup: 0 +{{- end -}} diff --git a/infra/charts/datasets-server/templates/_initContainerCache.tpl b/infra/charts/datasets-server/templates/_initContainerCache.tpl new file mode 100644 index 00000000..b3f8d87b --- /dev/null +++ b/infra/charts/datasets-server/templates/_initContainerCache.tpl @@ -0,0 +1,18 @@ +{{- define "initContainerCache" -}} +- name: prepare-cache + image: ubuntu:focal + imagePullPolicy: IfNotPresent + command: ["/bin/sh", "-c"] + args: + - chown {{ .Values.uid }}:{{ .Values.gid }} {{ .Values.storage.cacheDirectory | quote }}; + volumeMounts: + - mountPath: {{ .Values.storage.cacheDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "cache.subpath" . }}" + readOnly: false + securityContext: + runAsNonRoot: false + runAsUser: 0 + runAsGroup: 0 +{{- end -}} diff --git a/infra/charts/datasets-server/templates/_pod.tpl b/infra/charts/datasets-server/templates/_pod.tpl deleted file mode 100644 index d61528e6..00000000 --- a/infra/charts/datasets-server/templates/_pod.tpl +++ /dev/null @@ -1,49 +0,0 @@ -{{- define "apiPodSpec" -}} -spec: - containers: - - name: hub-datasets-server-api - env: - - name: APP_HOSTNAME - value: {{ .Values.api.appHostname | quote }} - - name: APP_PORT - value: {{ .Values.api.appPort | quote }} - - name: ASSETS_DIRECTORY - value: {{ .Values.storage.assetsDirectory | quote }} - - name: LOG_LEVEL - value: {{ .Values.api.logLevel | quote }} - - name: MAX_AGE_LONG_SECONDS - value: {{ .Values.api.maxAgeLongSeconds | quote }} - - name: MAX_AGE_SHORT_SECONDS - value: {{ .Values.api.maxAgeShortSeconds | quote }} - - name: MONGO_CACHE_DATABASE - value: {{ .Values.mongodb.cacheDatabase | quote }} - - name: MONGO_QUEUE_DATABASE - value: {{ .Values.mongodb.queueDatabase | quote }} - {{- if .Values.mongodb.enabled }} - - name: MONGO_URL - value: mongodb://{{.Release.Name}}-mongodb - {{- end }} - - name: WEB_CONCURRENCY - value: {{ .Values.api.webConcurrency | quote }} - image: "{{ .Values.api.image.repository }}/{{ .Values.api.image.name }}:{{ .Values.api.image.tag }}" - imagePullPolicy: {{ .Values.api.image.pullPolicy }} - volumeMounts: - - mountPath: {{ .Values.storage.assetsDirectory | quote }} - mountPropagation: None - name: assets - # 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 assets/ dir - subPath: "{{ include "name" . }}/{{ .Release.Name }}" - # the api only requires read access to the assets - readOnly: true - readinessProbe: - tcpSocket: - port: {{ .Values.api.readinessPort }} - livenessProbe: - tcpSocket: - port: {{ .Values.api.readinessPort }} - ports: - - containerPort: {{ .Values.api.appPort }} - name: http - protocol: TCP -{{- end -}} diff --git a/infra/charts/datasets-server/templates/api/_container.tpl b/infra/charts/datasets-server/templates/api/_container.tpl new file mode 100644 index 00000000..119a293f --- /dev/null +++ b/infra/charts/datasets-server/templates/api/_container.tpl @@ -0,0 +1,48 @@ +{{- define "containerApi" -}} +- name: "{{ include "name" . }}-api" + env: + - name: APP_HOSTNAME + value: {{ .Values.api.appHostname | quote }} + - name: APP_PORT + value: {{ .Values.api.appPort | quote }} + - name: ASSETS_DIRECTORY + value: {{ .Values.storage.assetsDirectory | quote }} + - name: LOG_LEVEL + value: {{ .Values.api.logLevel | quote }} + - name: MAX_AGE_LONG_SECONDS + value: {{ .Values.api.maxAgeLongSeconds | quote }} + - name: MAX_AGE_SHORT_SECONDS + value: {{ .Values.api.maxAgeShortSeconds | quote }} + - name: MONGO_CACHE_DATABASE + value: {{ .Values.mongodb.cacheDatabase | quote }} + - name: MONGO_QUEUE_DATABASE + value: {{ .Values.mongodb.queueDatabase | quote }} + {{- if .Values.mongodb.enabled }} + - name: MONGO_URL + value: mongodb://{{.Release.Name}}-mongodb + {{- end }} + - name: WEB_CONCURRENCY + value: {{ .Values.api.webConcurrency | quote }} + image: "{{ .Values.api.image.repository }}/{{ .Values.api.image.name }}:{{ .Values.api.image.tag }}" + imagePullPolicy: {{ .Values.api.image.pullPolicy }} + volumeMounts: + - mountPath: {{ .Values.storage.assetsDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "assets.subpath" . }}" + readOnly: true + securityContext: + allowPrivilegeEscalation: false + readinessProbe: + tcpSocket: + port: {{ .Values.api.readinessPort }} + livenessProbe: + tcpSocket: + port: {{ .Values.api.readinessPort }} + ports: + - containerPort: {{ .Values.api.appPort }} + name: http + protocol: TCP + resources: + {{ toYaml .Values.api.resources | nindent 4 }} +{{- end -}} diff --git a/infra/charts/datasets-server/templates/deployment-api.yaml b/infra/charts/datasets-server/templates/api/deployment.yaml similarity index 61% rename from infra/charts/datasets-server/templates/deployment-api.yaml rename to infra/charts/datasets-server/templates/api/deployment.yaml index d7b34e70..07fa757b 100644 --- a/infra/charts/datasets-server/templates/deployment-api.yaml +++ b/infra/charts/datasets-server/templates/api/deployment.yaml @@ -6 +6 @@ metadata: - name: {{ include "name" . }}-api + name: "{{ include "release" . }}-api" @@ -24,3 +24,5 @@ spec: - {{ include "apiPodSpec" . | nindent 4 }} - resources: - {{ toYaml .Values.api.resources | nindent 10 }} + spec: + initContainers: + {{ include "initContainerAssets" . | nindent 8 }} + containers: + {{ include "containerApi" . | nindent 8 }} @@ -32,4 +34,4 @@ spec: - - name: assets - nfs: - server: {{ .Values.storage.nfs.server }} - path: {{ .Values.storage.nfs.path }} + - name: nfs + nfs: + server: {{ .Values.storage.nfs.server }} + path: {{ .Values.storage.nfs.path }} @@ -37,3 +39,3 @@ spec: - runAsGroup: 1000 - runAsNonRoot: false - runAsUser: 1000 + runAsUser: {{ .Values.uid }} + runAsGroup: {{ .Values.gid }} + runAsNonRoot: true diff --git a/infra/charts/datasets-server/templates/service-api.yaml b/infra/charts/datasets-server/templates/api/service.yaml similarity index 91% rename from infra/charts/datasets-server/templates/service-api.yaml rename to infra/charts/datasets-server/templates/api/service.yaml index 46d12666..4ff25b8f 100644 --- a/infra/charts/datasets-server/templates/service-api.yaml +++ b/infra/charts/datasets-server/templates/api/service.yaml @@ -4 +4 @@ metadata: - name: "{{ include "name" . }}-api" + name: "{{ include "release" . }}-api" diff --git a/infra/charts/datasets-server/templates/datasets-worker/_container.tpl b/infra/charts/datasets-server/templates/datasets-worker/_container.tpl new file mode 100644 index 00000000..ed547beb --- /dev/null +++ b/infra/charts/datasets-server/templates/datasets-worker/_container.tpl @@ -0,0 +1,77 @@ +{{- define "containerDatasetsWorker" -}} +- name: "{{ include "name" . }}-datasets-worker" + env: + - name: ASSETS_DIRECTORY + value: {{ .Values.storage.assetsDirectory | quote }} + - name: DATASETS_BLOCKLIST + value: {{ .Values.datasetsWorker.datasetsBlocklist | quote }} + - name: DATASETS_REVISION + value: {{ .Values.datasetsWorker.datasetsRevision | quote }} + - name: HF_DATASETS_CACHE + value: "{{ .Values.storage.cacheDirectory }}/datasets" + - name: HF_MODULES_CACHE + value: "{{ .Values.storage.cacheDirectory }}/modules" + - 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: datasets-server-secrets + key: hfToken + optional: false + - name: LOG_LEVEL + value: {{ .Values.datasetsWorker.logLevel | quote }} + - name: MAX_JOBS_PER_DATASET + value: {{ .Values.datasetsWorker.maxJobsPerDataset | quote }} + - name: MAX_LOAD_PCT + value: {{ .Values.datasetsWorker.maxLoadPct | quote }} + - name: MAX_MEMORY_PCT + value: {{ .Values.datasetsWorker.maxMemoryPct | quote }} + - name: MAX_SIZE_FALLBACK + value: {{ .Values.datasetsWorker.maxSizeFallback | quote }} + - name: MIN_CELL_BYTES + value: {{ .Values.datasetsWorker.minCellBytes | quote }} + - name: MONGO_CACHE_DATABASE + value: {{ .Values.mongodb.cacheDatabase | quote }} + - name: MONGO_QUEUE_DATABASE + value: {{ .Values.mongodb.queueDatabase | quote }} + {{- if .Values.mongodb.enabled }} + - name: MONGO_URL + value: {{ include "mongodb.url" . }} + {{- end }} + - name: ROWS_MAX_BYTES + value: {{ .Values.datasetsWorker.rowsMaxBytes | quote }} + - name: ROWS_MAX_NUMBER + value: {{ .Values.datasetsWorker.rowsMaxNumber | quote }} + - name: ROWS_MIN_NUMBER + value: {{ .Values.datasetsWorker.rowsMinNumber| quote }} + - name: WORKER_SLEEP_SECONDS + value: {{ .Values.datasetsWorker.workerSleepSeconds | quote }} + - name: WORKER_QUEUE + # Job queue the worker will pull jobs from: 'datasets' or 'splits' + value: "datasets" + image: "{{ .Values.datasetsWorker.image.repository }}/{{ .Values.datasetsWorker.image.name }}:{{ .Values.datasetsWorker.image.tag }}" + imagePullPolicy: {{ .Values.datasetsWorker.image.pullPolicy }} + volumeMounts: + - mountPath: {{ .Values.storage.assetsDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "assets.subpath" . }}" + readOnly: false + - mountPath: {{ .Values.storage.cacheDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "cache.subpath" . }}" + readOnly: false + securityContext: + allowPrivilegeEscalation: false + # TODO: provide readiness and liveness probes + # readinessProbe: + # tcpSocket: + # port: {{ .Values.datasetsWorker.readinessPort }} + # livenessProbe: + # tcpSocket: + # port: {{ .Values.datasetsWorker.readinessPort }} + resources: + {{ toYaml .Values.datasetsWorker.resources | nindent 4 }} +{{- end -}} diff --git a/infra/charts/datasets-server/templates/datasets-worker/deployment.yaml b/infra/charts/datasets-server/templates/datasets-worker/deployment.yaml new file mode 100644 index 00000000..60c016e4 --- /dev/null +++ b/infra/charts/datasets-server/templates/datasets-worker/deployment.yaml @@ -0,0 +1,39 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + {{ include "labels.datasetsWorker" . | nindent 4 }} + name: "{{ include "release" . }}-datasets-worker" + namespace: {{ .Release.Namespace }} +spec: + progressDeadlineSeconds: 600 + replicas: {{ .Values.datasetsWorker.replicas }} + revisionHistoryLimit: 10 + selector: + matchLabels: + {{ include "labels.datasetsWorker" . | nindent 6 }} + strategy: + type: Recreate + template: + metadata: + labels: + {{ include "labels.datasetsWorker" . | nindent 8 }} + spec: + initContainers: + {{ include "initContainerAssets" . | nindent 8 }} + {{ include "initContainerCache" . | nindent 8 }} + containers: + {{ include "containerDatasetsWorker" . | nindent 8 }} + nodeSelector: + {{ toYaml .Values.datasetsWorker.nodeSelector | nindent 8 }} + tolerations: + {{ toYaml .Values.datasetsWorker.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/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml index c0744a34..bd8e35fd 100644 --- a/infra/charts/datasets-server/templates/ingress.yaml +++ b/infra/charts/datasets-server/templates/ingress.yaml @@ -9 +9 @@ metadata: - name: {{ include "name" . }} + name: {{ include "release" . }} @@ -18 +18 @@ spec: - name: "{{ include "name" . }}-api" + name: "{{ include "release" . }}-api" diff --git a/infra/charts/datasets-server/templates/splits-worker/_container.tpl b/infra/charts/datasets-server/templates/splits-worker/_container.tpl new file mode 100644 index 00000000..01867d18 --- /dev/null +++ b/infra/charts/datasets-server/templates/splits-worker/_container.tpl @@ -0,0 +1,77 @@ +{{- define "containerSplitsWorker" -}} +- name: "{{ include "name" . }}-splits-worker" + env: + - name: ASSETS_DIRECTORY + value: {{ .Values.storage.assetsDirectory | quote }} + - name: DATASETS_BLOCKLIST + value: {{ .Values.splitsWorker.datasetsBlocklist | quote }} + - name: DATASETS_REVISION + value: {{ .Values.splitsWorker.datasetsRevision | quote }} + - name: HF_DATASETS_CACHE + value: "{{ .Values.storage.cacheDirectory }}/datasets" + - name: HF_MODULES_CACHE + value: "{{ .Values.storage.cacheDirectory }}/modules" + - 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: datasets-server-secrets + key: hfToken + optional: false + - name: LOG_LEVEL + value: {{ .Values.splitsWorker.logLevel | quote }} + - name: MAX_JOBS_PER_DATASET + value: {{ .Values.splitsWorker.maxJobsPerDataset | quote }} + - name: MAX_LOAD_PCT + value: {{ .Values.splitsWorker.maxLoadPct | quote }} + - name: MAX_MEMORY_PCT + value: {{ .Values.splitsWorker.maxMemoryPct | quote }} + - name: MAX_SIZE_FALLBACK + value: {{ .Values.splitsWorker.maxSizeFallback | quote }} + - name: MIN_CELL_BYTES + value: {{ .Values.splitsWorker.minCellBytes | quote }} + - name: MONGO_CACHE_DATABASE + value: {{ .Values.mongodb.cacheDatabase | quote }} + - name: MONGO_QUEUE_DATABASE + value: {{ .Values.mongodb.queueDatabase | quote }} + {{- if .Values.mongodb.enabled }} + - name: MONGO_URL + value: {{ include "mongodb.url" . }} + {{- end }} + - name: ROWS_MAX_BYTES + value: {{ .Values.splitsWorker.rowsMaxBytes | quote }} + - name: ROWS_MAX_NUMBER + value: {{ .Values.splitsWorker.rowsMaxNumber | quote }} + - name: ROWS_MIN_NUMBER + value: {{ .Values.splitsWorker.rowsMinNumber| quote }} + - name: WORKER_SLEEP_SECONDS + value: {{ .Values.splitsWorker.workerSleepSeconds | quote }} + - name: WORKER_QUEUE + # Job queue the worker will pull jobs from: 'datasets' or 'splits' + value: "splits" + image: "{{ .Values.splitsWorker.image.repository }}/{{ .Values.splitsWorker.image.name }}:{{ .Values.splitsWorker.image.tag }}" + imagePullPolicy: {{ .Values.splitsWorker.image.pullPolicy }} + volumeMounts: + - mountPath: {{ .Values.storage.assetsDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "assets.subpath" . }}" + readOnly: false + - mountPath: {{ .Values.storage.cacheDirectory | quote }} + mountPropagation: None + name: nfs + subPath: "{{ include "cache.subpath" . }}" + readOnly: false + securityContext: + allowPrivilegeEscalation: false + # TODO: provide readiness and liveness probes + # readinessProbe: + # tcpSocket: + # port: {{ .Values.splitsWorker.readinessPort }} + # livenessProbe: + # tcpSocket: + # port: {{ .Values.splitsWorker.readinessPort }} + resources: + {{ toYaml .Values.splitsWorker.resources | nindent 4 }} +{{- end -}} diff --git a/infra/charts/datasets-server/templates/splits-worker/deployment.yaml b/infra/charts/datasets-server/templates/splits-worker/deployment.yaml new file mode 100644 index 00000000..4ba5a527 --- /dev/null +++ b/infra/charts/datasets-server/templates/splits-worker/deployment.yaml @@ -0,0 +1,39 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + {{ include "labels.splitsWorker" . | nindent 4 }} + name: "{{ include "release" . }}-splits-worker" + namespace: {{ .Release.Namespace }} +spec: + progressDeadlineSeconds: 600 + replicas: {{ .Values.splitsWorker.replicas }} + revisionHistoryLimit: 10 + selector: + matchLabels: + {{ include "labels.splitsWorker" . | nindent 6 }} + strategy: + type: Recreate + template: + metadata: + labels: + {{ include "labels.splitsWorker" . | nindent 8 }} + spec: + initContainers: + {{ include "initContainerAssets" . | nindent 8 }} + {{ include "initContainerCache" . | nindent 8 }} + containers: + {{ include "containerSplitsWorker" . | nindent 8 }} + nodeSelector: + {{ toYaml .Values.splitsWorker.nodeSelector | nindent 8 }} + tolerations: + {{ toYaml .Values.splitsWorker.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/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml index 3b48f28a..6cb91718 100644 --- a/infra/charts/datasets-server/values.yaml +++ b/infra/charts/datasets-server/values.yaml @@ -15,0 +16,2 @@ storage: + # Directory of the "datasets" library cache (both for modules and datasets) + cacheDirectory: "/cache" @@ -18,0 +21,2 @@ domain: "datasets-server.us.dev.moon.huggingface.tech" +uid: 1000 +gid: 3000 @@ -24 +28 @@ api: - tag: sha-59db084 + tag: sha-3dbea82 @@ -56,0 +61,88 @@ api: + + +datasetsWorker: + image: + repository: 707930574880.dkr.ecr.us-east-1.amazonaws.com + name: hub-datasets-server-worker + tag: sha-3dbea82 + pullPolicy: IfNotPresent + + replicas: 1 + + resources: + requests: + cpu: 1 + limits: + cpu: 1 + nodeSelector: {} + tolerations: [] + + # Datasets blocklist + datasetsBlocklist: "" + # Git reference for the canonical datasets on https://github.com/huggingface/datasets + datasetsRevision: "master" + # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) + hfToken: "" + # Log level + logLevel: "INFO" + # 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 + # 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: 5 + +splitsWorker: + image: + repository: 707930574880.dkr.ecr.us-east-1.amazonaws.com + name: hub-datasets-server-worker + tag: sha-3dbea82 + pullPolicy: IfNotPresent + replicas: 1 + + resources: + requests: + cpu: 1 + limits: + cpu: 1 + nodeSelector: {} + tolerations: [] + + # Datasets blocklist + datasetsBlocklist: "" + # Git reference for the canonical datasets on https://github.com/huggingface/datasets + datasetsRevision: "master" + # User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) + hfToken: "" + # Log level + logLevel: "INFO" + # 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 + # 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: 5 diff --git a/infra/docs/helm.md b/infra/docs/helm.md index efde95e4..b4743135 100644 --- a/infra/docs/helm.md +++ b/infra/docs/helm.md @@ -11 +11 @@ The [values.yaml](../charts/datasets-server/values.yaml) file contains a list of -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", 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. +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. @@ -15 +15,3 @@ Note that Kubernetes is not [blue-green deployment](https://en.wikipedia.org/wik -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-mongodb` (the release name, followed by `-mongodb`). We can see it: +### 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: diff --git a/infra/docs/kubernetes.md b/infra/docs/kubernetes.md index 56903e6f..24b37e32 100644 --- a/infra/docs/kubernetes.md +++ b/infra/docs/kubernetes.md @@ -221,0 +222,40 @@ You might be interested in the `kubectx` and `kubens` tools (see https://github. + +## 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-secrets +type: Opaque +data: + hfToken: yyyyy +``` + +Finally create the secret: + +``` +kubectl apply -f ./secret.yaml +``` + +Alternatively, we can generate the secret with: + +```shell +kubectl create secret generic datasets-server-secrets --from-literal=hfToken='yyyyy' +``` diff --git a/services/api/src/api/routes/_utils.py b/services/api/src/api/routes/_utils.py index 5621a259..9f55980f 100644 --- a/services/api/src/api/routes/_utils.py +++ b/services/api/src/api/routes/_utils.py @@ -13 +13 @@ def get_response(content: Any, status_code: int = 200, max_age: int = 0) -> Resp - headers = {"Cache-Control": f"public, max-age={max_age}"} if max_age > 0 else {"Cache-Control": "no-store"} + headers = {"Cache-Control": f"max-age={max_age}"} if max_age > 0 else {"Cache-Control": "no-store"} diff --git a/services/worker/README.md b/services/worker/README.md index b08db097..76b1ee0e 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -27,0 +28,2 @@ Set environment variables to configure the following aspects: +- `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`. @@ -31,2 +33,2 @@ Set environment variables to configure the following aspects: -- `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. Defaults to 70. -- `MAX_MEMORY_PCT`: the maximum memory (RAM + SWAP) usage of the machine (in percentage) allowed to start a job. Defaults to 80. +- `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. diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index d81c35d1..a1dc3722 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -118,0 +119,2 @@ def has_memory() -> bool: + if MAX_MEMORY_PCT <= 0: + return True @@ -129,0 +132,2 @@ def has_cpu() -> bool: + if MAX_LOAD_PCT <= 0: + return True @@ -152,5 +156,9 @@ def loop() -> None: - while not has_resources() or not process_next_job(): - sleep() - # a job has been processed - exit - # the worker should be restarted automatically by pm2 - # this way, we avoid using too much RAM+SWAP + logger = logging.getLogger("datasets_server.worker") + while True: + if has_resources(): + try: + process_next_job() + except Exception: + logger.warning("error while processing the job") + else: + sleep() diff --git a/services/worker/tests/models/test_typed_row.py b/services/worker/tests/models/test_typed_row.py index 873a3848..3c19c7de 100644 --- a/services/worker/tests/models/test_typed_row.py +++ b/services/worker/tests/models/test_typed_row.py @@ -36,8 +36,9 @@ def test_mnist() -> None: -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_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
ef3c83df6e9ed13ce083e67122f7570797cdf439
Sylvain Lesage
2022-05-09T07:30:55
Use kubernetes (#227)
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 8a0ff1be..a6f4410a 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -83,0 +84,9 @@ jobs: + code-quality-helm: + runs-on: ubuntu-20.04 + steps: + - name: Checkout sources + uses: actions/checkout@main + + - name: Lint chart + run: helm lint + working-directory: infra/charts/datasets-server diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace index ba79372f..9b7cd444 100644 --- a/.vscode/monorepo.code-workspace +++ b/.vscode/monorepo.code-workspace @@ -41 +41,4 @@ - "recommendations": ["ms-python.python"] + "recommendations": [ + "ms-python.python", + "ms-kubernetes-tools.vscode-kubernetes-tools" + ] diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index e1d36c88..b614be96 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -45,0 +46,2 @@ make test +Note that it requires the resources to be ready, ie. mongo and the storage for assets. See [INSTALL.md](./INSTALL.md). + @@ -68 +70 @@ 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 create a git tag that we increment accordingly to the change (major/minor/bugfix), for example: +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: @@ -70,4 +72,7 @@ We don't change the version of the libraries and services in `pyproject.toml`, b -``` -git tag 0.20.2 -git push --tags -``` +- 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) +- create a git tag with the same version, for example: + + ``` + git tag 0.20.2 + git push --tags + ``` @@ -75 +80 @@ git push --tags -Then we create a release at https://github.com/huggingface/datasets-server/releases/new, choosing a tag, then using the button "+ Auto-generate release notes". +- create a release at https://github.com/huggingface/datasets-server/releases/new, choosing a tag, then using the button "+ Auto-generate release notes". diff --git a/Makefile b/Makefile index a15d7fed..b29f978e 100644 --- a/Makefile +++ b/Makefile @@ -42,0 +43 @@ quality: + $(MAKE) -C infra/charts/datasets-server/ quality diff --git a/infra/README.md b/infra/README.md index 0e3868d9..615e9afd 100644 --- a/infra/README.md +++ b/infra/README.md @@ -3 +3 @@ -## Amazon Elastic Container Registry (ECR) +## Description @@ -5 +5 @@ -The docker images are pushed using the CI ([docker.yml](../.github/workflows/docker.yml)) to a private registry of docker images: https://us-east-1.console.aws.amazon.com/ecr/repositories?region=us-east-1. +The cloud infrastructure for the datasets-server uses: @@ -7 +7,2 @@ The docker images are pushed using the CI ([docker.yml](../.github/workflows/doc -Every image is tagged with the git commit used to build it (short form, ie: `sha-698411e`). +- 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). @@ -9 +10 @@ Every image is tagged with the git commit used to build it (short form, ie: `sha -The docker repositories are: +Before starting, ensure to: @@ -11,2 +12,2 @@ 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. +- [install the tools](./docs/tools.md) +- [setup the AWS CLI profile](./docs/authentication.md) @@ -14 +15,8 @@ The docker repositories are: -To create, modify or delete ECR repositories, ask the infra team. +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/.gitignore b/infra/charts/datasets-server/.gitignore new file mode 100644 index 00000000..1326c841 --- /dev/null +++ b/infra/charts/datasets-server/.gitignore @@ -0,0 +1,2 @@ +# we don't version the Helm dependencies charts +charts/ diff --git a/infra/charts/datasets-server/.helmignore b/infra/charts/datasets-server/.helmignore new file mode 100644 index 00000000..0e8a0eb3 --- /dev/null +++ b/infra/charts/datasets-server/.helmignore @@ -0,0 +1,23 @@ +# Patterns to ignore when building packages. +# This supports shell glob matching, relative path matching, and +# negation (prefixed with !). Only one pattern per line. +.DS_Store +# Common VCS dirs +.git/ +.gitignore +.bzr/ +.bzrignore +.hg/ +.hgignore +.svn/ +# Common backup files +*.swp +*.bak +*.tmp +*.orig +*~ +# Various IDEs +.project +.idea/ +*.tmproj +.vscode/ diff --git a/infra/charts/datasets-server/Chart.lock b/infra/charts/datasets-server/Chart.lock new file mode 100644 index 00000000..923e42fe --- /dev/null +++ b/infra/charts/datasets-server/Chart.lock @@ -0,0 +1,6 @@ +dependencies: +- name: mongodb + repository: https://charts.bitnami.com/bitnami + version: 12.0.0 +digest: sha256:13b02639b09eca43c731faaa39c0370ac804ad840e501b883deb40b910ea8115 +generated: "2022-05-05T09:50:37.216564475Z" diff --git a/infra/charts/datasets-server/Chart.yaml b/infra/charts/datasets-server/Chart.yaml new file mode 100644 index 00000000..d048c581 --- /dev/null +++ b/infra/charts/datasets-server/Chart.yaml @@ -0,0 +1,34 @@ +apiVersion: v2 +name: datasets-server +description: A Helm chart for the datasets-server application + +# A chart can be either an 'application' or a 'library' chart. +# +# Application charts are a collection of templates that can be packaged into versioned archives +# to be deployed. +# +# Library charts provide useful utilities or functions for the chart developer. They're included as +# a dependency of application charts to inject those utilities and functions into the rendering +# pipeline. Library charts do not define any templates and therefore cannot be deployed. +type: application + +# This is the chart version. This version number should be incremented each time you make changes +# to the chart and its templates, including the app version. +# Versions are expected to follow Semantic Versioning (https://semver.org/) +# +# We don't increment it, as it will not be distributed. +version: 0.1.0 + +# This is the version number of the application being deployed. This version number should be +# incremented each time you make changes to the application. Versions are not expected to +# follow Semantic Versioning. They should reflect the version the application is using. +# It is recommended to use it with quotes. +# +# See https://github.com/huggingface/datasets-server/releases +appVersion: "0.20.2" + +dependencies: + - name: mongodb + version: 12.0.0 + condition: mongodb.enabled + repository: https://charts.bitnami.com/bitnami diff --git a/infra/charts/datasets-server/Makefile b/infra/charts/datasets-server/Makefile new file mode 100644 index 00000000..43fa7e7f --- /dev/null +++ b/infra/charts/datasets-server/Makefile @@ -0,0 +1,30 @@ +RELEASE_NAME := datasets-server +K8S_NAMESPACE := hub + +.PHONY: init +init: + helm dependency update . + +.PHONY: uninstall +uninstall: + helm uninstall $(RELEASE_NAME) -n $(K8S_NAMESPACE) + +.PHONY: diff +diff: + helm diff upgrade --install $(RELEASE_NAME) . --values env/$(ENV).yaml -n $(K8S_NAMESPACE) + +.PHONY: upgrade +upgrade: + helm upgrade --install $(RELEASE_NAME) . --values env/$(ENV).yaml -n $(K8S_NAMESPACE) + +.PHONY: diff-dev +diff-dev: + @make diff ENV=dev + +.PHONY: upgrade-dev +upgrade-dev: + @make upgrade ENV=dev + +.PHONY: quality +quality: + helm lint diff --git a/infra/charts/datasets-server/README.md b/infra/charts/datasets-server/README.md new file mode 100644 index 00000000..6a78d325 --- /dev/null +++ b/infra/charts/datasets-server/README.md @@ -0,0 +1,28 @@ +# 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/infra/charts/datasets-server/env/dev.yaml b/infra/charts/datasets-server/env/dev.yaml new file mode 100644 index 00000000..bb112891 --- /dev/null +++ b/infra/charts/datasets-server/env/dev.yaml @@ -0,0 +1,26 @@ +mongodb: + enabled: true + +storage: + # JSON format is used because it's easier (ie. less error prone) to copy/paste the output of terraform + nfs: {"path":"/fsx","server":"svm-0006d5ba595c33b3e.fs-079a245c1521ad9fe.fsx.us-east-1.amazonaws.com"} + +api: + replicas: 1 + + 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" + 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" + + resources: + requests: + cpu: 0.01 + limits: + cpu: 1 diff --git a/infra/charts/datasets-server/templates/_helpers.tpl b/infra/charts/datasets-server/templates/_helpers.tpl new file mode 100644 index 00000000..e678c41a --- /dev/null +++ b/infra/charts/datasets-server/templates/_helpers.tpl @@ -0,0 +1,41 @@ +{{/* +Expand the name of the chart. +*/}} +{{- define "name" -}} +{{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }} +{{- end }} + +{{/* +Create chart name and version as used by the chart label. +*/}} +{{- define "chart" -}} +{{- printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" | trunc 63 | trimSuffix "-" }} +{{- end }} + +{{/* +Common labels +*/}} +{{- define "labels" -}} +helm.sh/chart: {{ include "chart" . }} +{{ include "selectorLabels" . }} +{{- if .Chart.AppVersion }} +app.kubernetes.io/version: {{ .Chart.AppVersion | quote }} +{{- end }} +app.kubernetes.io/managed-by: {{ .Release.Service }} +{{- end }} + +{{/* +Selector labels +*/}} +{{- define "selectorLabels" -}} +app.kubernetes.io/name: {{ include "name" . }} +app.kubernetes.io/instance: {{ .Release.Name }} +{{- end }} + +{{- define "labels.api" -}} +{{ include "labels" . }} +release: {{ $.Release.Name | quote }} +heritage: {{ $.Release.Service | quote }} +chart: "{{ include "name" . }}" +app: "{{ include "name" . }}-api" +{{- end -}} diff --git a/infra/charts/datasets-server/templates/_pod.tpl b/infra/charts/datasets-server/templates/_pod.tpl new file mode 100644 index 00000000..d61528e6 --- /dev/null +++ b/infra/charts/datasets-server/templates/_pod.tpl @@ -0,0 +1,49 @@ +{{- define "apiPodSpec" -}} +spec: + containers: + - name: hub-datasets-server-api + env: + - name: APP_HOSTNAME + value: {{ .Values.api.appHostname | quote }} + - name: APP_PORT + value: {{ .Values.api.appPort | quote }} + - name: ASSETS_DIRECTORY + value: {{ .Values.storage.assetsDirectory | quote }} + - name: LOG_LEVEL + value: {{ .Values.api.logLevel | quote }} + - name: MAX_AGE_LONG_SECONDS + value: {{ .Values.api.maxAgeLongSeconds | quote }} + - name: MAX_AGE_SHORT_SECONDS + value: {{ .Values.api.maxAgeShortSeconds | quote }} + - name: MONGO_CACHE_DATABASE + value: {{ .Values.mongodb.cacheDatabase | quote }} + - name: MONGO_QUEUE_DATABASE + value: {{ .Values.mongodb.queueDatabase | quote }} + {{- if .Values.mongodb.enabled }} + - name: MONGO_URL + value: mongodb://{{.Release.Name}}-mongodb + {{- end }} + - name: WEB_CONCURRENCY + value: {{ .Values.api.webConcurrency | quote }} + image: "{{ .Values.api.image.repository }}/{{ .Values.api.image.name }}:{{ .Values.api.image.tag }}" + imagePullPolicy: {{ .Values.api.image.pullPolicy }} + volumeMounts: + - mountPath: {{ .Values.storage.assetsDirectory | quote }} + mountPropagation: None + name: assets + # 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 assets/ dir + subPath: "{{ include "name" . }}/{{ .Release.Name }}" + # the api only requires read access to the assets + readOnly: true + readinessProbe: + tcpSocket: + port: {{ .Values.api.readinessPort }} + livenessProbe: + tcpSocket: + port: {{ .Values.api.readinessPort }} + ports: + - containerPort: {{ .Values.api.appPort }} + name: http + protocol: TCP +{{- end -}} diff --git a/infra/charts/datasets-server/templates/deployment-api.yaml b/infra/charts/datasets-server/templates/deployment-api.yaml new file mode 100644 index 00000000..d7b34e70 --- /dev/null +++ b/infra/charts/datasets-server/templates/deployment-api.yaml @@ -0,0 +1,39 @@ +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: + {{ include "labels.api" . | nindent 4 }} + name: {{ include "name" . }}-api + namespace: {{ .Release.Namespace }} +spec: + progressDeadlineSeconds: 600 + replicas: {{ .Values.api.replicas }} + revisionHistoryLimit: 10 + selector: + matchLabels: + {{ include "labels.api" . | nindent 6 }} + strategy: + rollingUpdate: + maxSurge: 25% + maxUnavailable: 25% + type: RollingUpdate + template: + metadata: + labels: + {{ include "labels.api" . | nindent 8 }} + {{ include "apiPodSpec" . | nindent 4 }} + resources: + {{ toYaml .Values.api.resources | nindent 10 }} + nodeSelector: + {{ toYaml .Values.api.nodeSelector | nindent 8 }} + tolerations: + {{ toYaml .Values.api.tolerations | nindent 8 }} + volumes: + - name: assets + nfs: + server: {{ .Values.storage.nfs.server }} + path: {{ .Values.storage.nfs.path }} + securityContext: + runAsGroup: 1000 + runAsNonRoot: false + runAsUser: 1000 diff --git a/infra/charts/datasets-server/templates/ingress.yaml b/infra/charts/datasets-server/templates/ingress.yaml new file mode 100644 index 00000000..c0744a34 --- /dev/null +++ b/infra/charts/datasets-server/templates/ingress.yaml @@ -0,0 +1,22 @@ +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + annotations: + # to communicate with AWS + {{ toYaml .Values.api.ingress.annotations | nindent 4 }} + labels: + {{ include "labels.api" . | nindent 4 }} + name: {{ include "name" . }} + namespace: {{ .Release.Namespace }} +spec: + rules: + - host: {{ .Values.domain }} + http: + paths: + - backend: + service: + name: "{{ include "name" . }}-api" + port: + name: http + pathType: ImplementationSpecific + diff --git a/infra/charts/datasets-server/templates/service-api.yaml b/infra/charts/datasets-server/templates/service-api.yaml new file mode 100644 index 00000000..46d12666 --- /dev/null +++ b/infra/charts/datasets-server/templates/service-api.yaml @@ -0,0 +1,18 @@ +apiVersion: v1 +kind: Service +metadata: + name: "{{ include "name" . }}-api" + annotations: + {{ toYaml .Values.api.service.annotations | nindent 4 }} + namespace: {{ .Release.Namespace }} + labels: + {{ include "labels.api" . | nindent 4 }} +spec: + ports: + - name: http + port: 80 + protocol: TCP + targetPort: {{ .Values.api.appPort }} + selector: + {{ include "labels.api" . | nindent 4 }} + type: {{ .Values.api.service.type }} diff --git a/infra/charts/datasets-server/values.yaml b/infra/charts/datasets-server/values.yaml new file mode 100644 index 00000000..3b48f28a --- /dev/null +++ b/infra/charts/datasets-server/values.yaml @@ -0,0 +1,56 @@ +mongodb: + enabled: false + useStatefulSet: true + auth: + enabled: false + serviceAccount: + create: false + # Name of the mongo db database used to cache the datasets + cacheDatabase: "datasets_server_cache" + # Name of the mongo db database used to store the jobs queue + queueDatabase: "datasets_server_queue" + +storage: + # Directory of assets (audio files and images that will be served for the web) + assetsDirectory: "/assets" + nfs: {} + +domain: "datasets-server.us.dev.moon.huggingface.tech" + +api: + image: + repository: 707930574880.dkr.ecr.us-east-1.amazonaws.com + name: hub-datasets-server-api + tag: sha-59db084 + pullPolicy: IfNotPresent + + replicas: 1 + + service: + type: NodePort + annotations: { } + + ingress: + annotations: { } + + resources: + requests: + cpu: 1 + limits: + cpu: 1 + nodeSelector: {} + tolerations: [] + + readinessPort: 80 + # Application hostname - it must not be set to localhost to work in Kube! + appHostname: "0.0.0.0" + # Application port + appPort: 80 + # Log level + logLevel: "INFO" + # Number of seconds to set in the `max-age` header on data endpoints + maxAgeLongSeconds: "120" + # Number of seconds to set in the `max-age` header on technical endpoints + maxAgeShortSeconds: "10" + # Number of uvicorn workers + webConcurrency: "2" diff --git a/infra/docs/authentication.md b/infra/docs/authentication.md new file mode 100644 index 00000000..29e3f2e9 --- /dev/null +++ b/infra/docs/authentication.md @@ -0,0 +1,46 @@ +## 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-Hub` (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-Hub" +Using the role name "EKS-HUB-Hub" +CLI default client Region [None]: us-east-1 +CLI default output format [None]: +CLI profile name [EKS-HUB-Hub-707930574880]: hub + +To use this profile, specify the profile name using --profile, as shown: + +aws s3 ls --profile hub +``` + +In the docs, we assume the AWS CLI profile is called `hub`. + +The profile `hub` is meant to: + +- operate inside the two EKS clusters (`hub-prod` and `hub-ephemeral`): + + ```shell + $ aws eks describe-cluster --profile=hub --name=hub-ephemeral + $ aws eks update-kubeconfig --profile=hub --name=hub-ephemeral + ``` + +- 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=hub \ + | docker login --username AWS --password-stdin 707930574880.dkr.ecr.us-east-1.amazonaws.com + ``` + + **Note**: the `EKS-HUB-Hub` profile still misses this right. Until the infra team adds it, you can use the `hub-pu` profile. + +It is not meant to operate on AWS resources directly. The following command gives authentication error for example: + +```shell +$ aws eks list-clusters --profile=hub +``` diff --git a/infra/docs/docker.md b/infra/docs/docker.md new file mode 100644 index 00000000..506281fd --- /dev/null +++ b/infra/docs/docker.md @@ -0,0 +1,31 @@ +# 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=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 +``` + +The documentation for the `aws ecr` CLI is here: https://docs.aws.amazon.com/cli/latest/reference/ecr/index.html. diff --git a/infra/docs/helm.md b/infra/docs/helm.md new file mode 100644 index 00000000..efde95e4 --- /dev/null +++ b/infra/docs/helm.md @@ -0,0 +1,29 @@ +# 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", 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). + +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-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/infra/docs/kubernetes.md b/infra/docs/kubernetes.md new file mode 100644 index 00000000..56903e6f --- /dev/null +++ b/infra/docs/kubernetes.md @@ -0,0 +1,221 @@ +# 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-prod" + ] +} +``` + +Note that listing the clusters is not allowed for the `EKS-HUB-Hub` role of the `hub` account: + +``` +$ 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/* +``` + +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: + +``` +$ 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", + ... + } +} +``` + +## 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 + ``` + +### 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 `hub` namespace: + + ``` + kubectl get namespace hub -o json + ``` + +You can also filter by [label](https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/): + +- get the namespace with the name `hub` (not very interesting): + + ``` + kubectl get namespace -l "kubernetes.io/metadata.name"==hub + ``` + +- get the pods of the `hub` application (note that `app` is a custom label specified when creating the pods in moonlanding): + + ``` + kubectl get pod -l app==hub + ``` + +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 +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 +``` + +For now, this project will use the `hub` namespace. The infra team is working to setup a specific namespace for this project. + +## 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 `datasets-server-ephemeral` as: + +``` +$ 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=hub \ + datasets-server-ephemeral +Context "datasets-server-ephemeral" created. +``` + +We set it as the current context with: + +``` +$ kubectl config use-context datasets-server-ephemeral + +Switched to context "datasets-server-ephemeral". +``` + +If we list the contexts, we see that it is selected: + +``` +$ 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 +``` + +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. diff --git a/infra/docs/tools.md b/infra/docs/tools.md new file mode 100644 index 00000000..2f9f2c71 --- /dev/null +++ b/infra/docs/tools.md @@ -0,0 +1,46 @@ +## 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 +``` diff --git a/services/worker/tests/models/test_typed_row.py b/services/worker/tests/models/test_typed_row.py index e4cf754e..873a3848 100644 --- a/services/worker/tests/models/test_typed_row.py +++ b/services/worker/tests/models/test_typed_row.py @@ -46,7 +46,8 @@ def test_cifar() -> None: -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 +# 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
af9a93d4b810c2353de01369ad49f2065272af85
Sylvain Lesage
2022-05-03T15:13:07
Rename to datasets server (#221)
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index d181f0a9..60cef47a 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -36,2 +36,2 @@ jobs: - MONGO_CACHE_DATABASE: datasets_preview_cache_test - MONGO_QUEUE_DATABASE: datasets_preview_queue_test + MONGO_CACHE_DATABASE: datasets_server_cache_test + MONGO_QUEUE_DATABASE: datasets_server_queue_test @@ -91 +91 @@ jobs: - MONGO_CACHE_DATABASE: datasets_preview_cache_test + MONGO_CACHE_DATABASE: datasets_server_cache_test diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 5a6a0660..e1d36c88 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -10,2 +10,2 @@ To start working on the project: -git clone [email protected]:huggingface/datasets-preview-backend.git -cd datasets-preview-backend +git clone [email protected]:huggingface/datasets-server.git +cd datasets-server @@ -75 +75 @@ git push --tags -Then we create a release at https://github.com/huggingface/datasets-preview-backend/releases/new, choosing a tag, then using the button "+ Auto-generate release notes". +Then we create a release at https://github.com/huggingface/datasets-server/releases/new, choosing a tag, then using the button "+ Auto-generate release notes". @@ -97,0 +98,2 @@ 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/INSTALL.md b/INSTALL.md index dc3e7c97..9bd7f38c 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -29 +29 @@ We also need to have a mongo server: - docker run -p 27017:27017 --name datasets-preview-backend-mongo -d --restart always mongo:latest + docker run -p 27017:27017 --name datasets-server-mongo -d --restart always mongo:latest @@ -40 +40 @@ See the instructions in [services/api/INSTALL.md](./services/api/INSTALL.md#upgr -datasets-preview-backend is installed on a t2.2xlarge [EC2 virtual machine](https://us-east-1.console.aws.amazon.com/ec2/v2/home?region=us-east-1#InstanceDetails:instanceId=i-0b19b8deb4301ad4a) (under the "JULIEN CHAUMOND" account). +datasets-server is installed on a t2.2xlarge [EC2 virtual machine](https://us-east-1.console.aws.amazon.com/ec2/v2/home?region=us-east-1#InstanceDetails:instanceId=i-0b19b8deb4301ad4a) (under the "JULIEN CHAUMOND" account). diff --git a/README.md b/README.md index f1b10776..5514b536 100644 --- a/README.md +++ b/README.md @@ -1 +1 @@ -# Datasets preview backend +# Datasets server @@ -3 +3,3 @@ -> API to get the first rows of the Hugging Face Hub datasets +> Stores the hub datasets, and provides an internal API to query their contents, metadata and basic statistics. + +For now, it just provides an API to get the first rows of the Hugging Face Hub datasets (previously known as `datasets-preview-backend`) diff --git a/deprecated/Makefile b/deprecated/Makefile index 06b7ef5b..398f4056 100644 --- a/deprecated/Makefile +++ b/deprecated/Makefile @@ -4 +4 @@ warm: - poetry run python src/datasets_preview_backend/warm.py + poetry run python src/datasets_server/warm.py @@ -8 +8 @@ worker: - poetry run python src/datasets_preview_backend/worker.py + poetry run python src/datasets_server/worker.py @@ -12 +12 @@ force-refresh-cache: - poetry run python src/datasets_preview_backend/force_refresh_cache.py + poetry run python src/datasets_server/force_refresh_cache.py @@ -16 +16 @@ cancel-started-jobs: - poetry run python src/datasets_preview_backend/cancel_started_jobs.py + poetry run python src/datasets_server/cancel_started_jobs.py @@ -20 +20 @@ cancel-waiting-jobs: - poetry run python src/datasets_preview_backend/cancel_waiting_jobs.py + poetry run python src/datasets_server/cancel_waiting_jobs.py @@ -24 +24 @@ clean-queues: - poetry run python src/datasets_preview_backend/clean_queues.py + poetry run python src/datasets_server/clean_queues.py @@ -28 +28 @@ clean-cache: - poetry run python src/datasets_preview_backend/clean_cache.py + poetry run python src/datasets_server/clean_cache.py diff --git a/deprecated/README.md b/deprecated/README.md index 10d21820..e8f8c746 100644 --- a/deprecated/README.md +++ b/deprecated/README.md @@ -12 +12 @@ Warm the cache with: -pm2 start --no-autorestart --name warm make -- -C /home/hf/datasets-preview-backend/ warm +pm2 start --no-autorestart --name warm make -- -C /home/hf/datasets-server/ warm diff --git a/libs/libcache/Makefile b/libs/libcache/Makefile index a1f9d170..ae98c11c 100644 --- a/libs/libcache/Makefile +++ b/libs/libcache/Makefile @@ -5 +5 @@ test: - MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -x tests + MONGO_CACHE_DATABASE="datasets_server_cache_test" poetry run python -m pytest -x tests @@ -9 +9 @@ coverage: - MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + MONGO_CACHE_DATABASE="datasets_server_cache_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/libs/libcache/migrations/README.md b/libs/libcache/migrations/README.md index 764dd734..acd1163a 100644 --- a/libs/libcache/migrations/README.md +++ b/libs/libcache/migrations/README.md @@ -20 +20 @@ To run a script, for example [20220406_cache_dbrow_status_and_since.py](./202204 -export MONGO_CACHE_DATABASE="datasets_preview_queue_test" +export MONGO_CACHE_DATABASE="datasets_server_queue_test" @@ -28 +28 @@ Then, validate with -export MONGO_CACHE_DATABASE="datasets_preview_queue_test" +export MONGO_CACHE_DATABASE="datasets_server_queue_test" diff --git a/libs/libcache/migrations/_utils.py b/libs/libcache/migrations/_utils.py index 9eced3c4..15841c2d 100644 --- a/libs/libcache/migrations/_utils.py +++ b/libs/libcache/migrations/_utils.py @@ -10 +10 @@ from libutils.utils import get_str_value -DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache" diff --git a/libs/libcache/src/libcache/asset.py b/libs/libcache/src/libcache/asset.py index 5a732753..99480537 100644 --- a/libs/libcache/src/libcache/asset.py +++ b/libs/libcache/src/libcache/asset.py @@ -16 +16 @@ def init_assets_dir(assets_directory: Optional[str] = None) -> str: - assets_directory = user_cache_dir("datasets_preview_backend_assets") + assets_directory = user_cache_dir("datasets_server_assets") diff --git a/libs/libcache/tests/_utils.py b/libs/libcache/tests/_utils.py index 6b25814e..25debb96 100644 --- a/libs/libcache/tests/_utils.py +++ b/libs/libcache/tests/_utils.py @@ -5 +5 @@ from libutils.utils import get_str_value -DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache_test" +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache_test" diff --git a/libs/libcache/tests/test_cache.py b/libs/libcache/tests/test_cache.py index 07f91e21..b43e78c3 100644 --- a/libs/libcache/tests/test_cache.py +++ b/libs/libcache/tests/test_cache.py @@ -69 +69 @@ def test_big_row() -> None: - # https://github.com/huggingface/datasets-preview-backend/issues/197 + # https://github.com/huggingface/datasets-server/issues/197 diff --git a/libs/libqueue/Makefile b/libs/libqueue/Makefile index bd9b454e..c5c600bc 100644 --- a/libs/libqueue/Makefile +++ b/libs/libqueue/Makefile @@ -5 +5 @@ test: - MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests + MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -x tests @@ -9 +9 @@ coverage: - MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/libs/libqueue/tests/_utils.py b/libs/libqueue/tests/_utils.py index 8491005b..a240f02a 100644 --- a/libs/libqueue/tests/_utils.py +++ b/libs/libqueue/tests/_utils.py @@ -5 +5 @@ from libutils.utils import get_str_value -DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue_test" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_server_queue_test" diff --git a/libs/libutils/src/libutils/logger.py b/libs/libutils/src/libutils/logger.py index dc081868..73e63a8f 100644 --- a/libs/libutils/src/libutils/logger.py +++ b/libs/libutils/src/libutils/logger.py @@ -4 +4 @@ import logging -def init_logger(log_level: str = "INFO", name: str = "datasets_preview_backend") -> None: +def init_logger(log_level: str = "INFO", name: str = "datasets_server") -> None: diff --git a/services/api/.env.example b/services/api/.env.example index e01f18aa..1c7a855c 100644 --- a/services/api/.env.example +++ b/services/api/.env.example @@ -20 +20 @@ -# MONGO_CACHE_DATABASE="datasets_preview_cache" +# MONGO_CACHE_DATABASE="datasets_server_cache" @@ -23 +23 @@ -# MONGO_QUEUE_DATABASE="datasets_preview_queue" +# MONGO_QUEUE_DATABASE="datasets_server_queue" diff --git a/services/api/INSTALL.md b/services/api/INSTALL.md index 2551dcd5..3112ba78 100644 --- a/services/api/INSTALL.md +++ b/services/api/INSTALL.md @@ -95,2 +95,2 @@ cd -git clone https://github.com/huggingface/datasets-preview-backend.git -cd datasets-preview-backend/services/api +git clone https://github.com/huggingface/datasets-server.git +cd datasets-server/services/api @@ -103 +103 @@ Copy and edit the environment variables file: -cd datasets-preview-backend/services/api +cd datasets-server/services/api @@ -115 +115 @@ Launch the API with pm2: -pm2 start --name api make -- -C /home/hf/datasets-preview-backend/ run +pm2 start --name api make -- -C /home/hf/datasets-server/ run @@ -143 +143 @@ pm2 logs api -To deploy a new version of datasets-preview-backend, first pause the monitor at https://betteruptime.com/team/14149/monitors/389098. +To deploy a new version of datasets-server, first pause the monitor at https://betteruptime.com/team/14149/monitors/389098. @@ -148 +148 @@ Then update the code -cd /home/hf/datasets-preview-backend/ +cd /home/hf/datasets-server/ @@ -150 +150 @@ git fetch --tags -git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-preview-backend/releases/latest) +git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-server/releases/latest) @@ -179 +179 @@ Apply the database migrations (see [libs/libcache/src/libcache/migrations/README -# see https://github.com/huggingface/datasets-preview-backend/blob/main/libs/libcache/migrations/README.md +# see https://github.com/huggingface/datasets-server/blob/main/libs/libcache/migrations/README.md diff --git a/services/api/Makefile b/services/api/Makefile index 9474c54e..9866faa9 100644 --- a/services/api/Makefile +++ b/services/api/Makefile @@ -13 +13 @@ test: - MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests + MONGO_CACHE_DATABASE="datasets_server_cache_test" MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -x tests @@ -17 +17 @@ coverage: - MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + MONGO_CACHE_DATABASE="datasets_server_cache_test" MONGO_QUEUE_DATABASE="datasets_server_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/services/api/README.md b/services/api/README.md index 49a1f6cc..bcf1af73 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -1 +1 @@ -# Datasets preview backend API +# Datasets server API @@ -21 +21 @@ Set environment variables to configure the following aspects: -- `ASSETS_DIRECTORY`: directory where the asset files are stored. Defaults to empty, in which case the assets are located in the `datasets_preview_backend_assets` subdirectory inside the OS default cache directory. +- `ASSETS_DIRECTORY`: directory where the asset files are stored. Defaults to empty, in which case the assets are located in the `datasets_server_assets` subdirectory inside the OS default cache directory. @@ -25,2 +25,2 @@ Set environment variables to configure the following aspects: -- `MONGO_CACHE_DATABASE`: the name of the database used for storing the cache. Defaults to `"datasets_preview_cache"`. -- `MONGO_QUEUE_DATABASE`: the name of the database used for storing the queue. Defaults to `"datasets_preview_queue"`. +- `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"`. @@ -128,7 +128,7 @@ Responses: - " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 61, in get_rows\n rows = extract_rows(dataset_name, config_name, split_name, num_rows, hf_token)\n", - " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 32, in decorator\n return func(*args, **kwargs)\n", - " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 55, in extract_rows\n return list(iterable_dataset.take(num_rows))\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 341, in __iter__\n for key, example in self._iter():\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 338, in _iter\n yield from ex_iterable\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 273, in __iter__\n yield from islice(self.ex_iterable, self.n)\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 78, in __iter__\n for key, example in self.generate_examples_fn(**self.kwargs):\n", + " File \"/home/slesage/hf/datasets-server/src/datasets_server/models/row.py\", line 61, in get_rows\n rows = extract_rows(dataset_name, config_name, split_name, num_rows, hf_token)\n", + " File \"/home/slesage/hf/datasets-server/src/datasets_server/models/row.py\", line 32, in decorator\n return func(*args, **kwargs)\n", + " File \"/home/slesage/hf/datasets-server/src/datasets_server/models/row.py\", line 55, in extract_rows\n return list(iterable_dataset.take(num_rows))\n", + " File \"/home/slesage/hf/datasets-server/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 341, in __iter__\n for key, example in self._iter():\n", + " File \"/home/slesage/hf/datasets-server/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 338, in _iter\n yield from ex_iterable\n", + " File \"/home/slesage/hf/datasets-server/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 273, in __iter__\n yield from islice(self.ex_iterable, self.n)\n", + " File \"/home/slesage/hf/datasets-server/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 78, in __iter__\n for key, example in self.generate_examples_fn(**self.kwargs):\n", diff --git a/services/api/src/api/constants.py b/services/api/src/api/constants.py index 3f3aa783..95e2b6d0 100644 --- a/services/api/src/api/constants.py +++ b/services/api/src/api/constants.py @@ -8,2 +8,2 @@ DEFAULT_MAX_AGE_SHORT_SECONDS: int = 10 # 10 seconds -DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" -DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue" +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_server_queue" diff --git a/services/api/tests/_utils.py b/services/api/tests/_utils.py index 8491005b..a240f02a 100644 --- a/services/api/tests/_utils.py +++ b/services/api/tests/_utils.py @@ -5 +5 @@ from libutils.utils import get_str_value -DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue_test" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_server_queue_test" diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index 3ddbd230..bc46721e 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -271 +271 @@ def test_split_cache_refreshing(client: TestClient) -> None: -# # https://github.com/huggingface/datasets-preview-backend/issues/196 +# # https://github.com/huggingface/datasets-server/issues/196 diff --git a/services/worker/.env.example b/services/worker/.env.example index 936bfa5d..9b9df1e8 100644 --- a/services/worker/.env.example +++ b/services/worker/.env.example @@ -32 +32 @@ -# MONGO_CACHE_DATABASE="datasets_preview_cache" +# MONGO_CACHE_DATABASE="datasets_server_cache" @@ -35 +35 @@ -# MONGO_QUEUE_DATABASE="datasets_preview_queue" +# MONGO_QUEUE_DATABASE="datasets_server_queue" diff --git a/services/worker/INSTALL.md b/services/worker/INSTALL.md index c4a01ba9..631419a5 100644 --- a/services/worker/INSTALL.md +++ b/services/worker/INSTALL.md @@ -54,2 +54,2 @@ Install the worker: -git clone https://github.com/huggingface/datasets-preview-backend.git -cd datasets-preview-backend/services/worker +git clone https://github.com/huggingface/datasets-server.git +cd datasets-server/services/worker @@ -62 +62 @@ Copy and edit the environment variables file: -cd datasets-preview-backend/services/worker +cd datasets-server/services/worker @@ -74 +74 @@ Deploy the datasets workers with: -pm2 start --name datasets-worker make -- -C /home/hf/datasets-preview-backend/services/worker/ datasets-worker +pm2 start --name datasets-worker make -- -C /home/hf/datasets-server/services/worker/ datasets-worker @@ -80 +80 @@ Deploy the splits workers with: -pm2 start --name splits-worker make -- -C /home/hf/datasets-preview-backend/services/worker/ splits-worker +pm2 start --name splits-worker make -- -C /home/hf/datasets-server/services/worker/ splits-worker @@ -113 +113 @@ To deploy a new version of the worker, first update the code -cd /home/hf/datasets-preview-backend/ +cd /home/hf/datasets-server/ @@ -115 +115 @@ git fetch --tags -git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-preview-backend/releases/latest) +git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-server/releases/latest) @@ -144 +144 @@ Apply the database migrations (see [libs/libcache/src/libcache/migrations/README -# see https://github.com/huggingface/datasets-preview-backend/blob/main/libs/libcache/migrations/README.md +# see https://github.com/huggingface/datasets-server/blob/main/libs/libcache/migrations/README.md diff --git a/services/worker/Makefile b/services/worker/Makefile index 9ffcefa8..70ecbba4 100644 --- a/services/worker/Makefile +++ b/services/worker/Makefile @@ -18 +18 @@ test: - ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -x tests + ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_server_cache_test" poetry run python -m pytest -x tests @@ -23 +23 @@ coverage: - ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_server_cache_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/services/worker/README.md b/services/worker/README.md index 45ae4a6e..b08db097 100644 --- a/services/worker/README.md +++ b/services/worker/README.md @@ -1 +1 @@ -# Datasets preview backend - worker +# Datasets server - worker @@ -25 +25 @@ Set environment variables to configure the following aspects: -- `ASSETS_DIRECTORY`: directory where the asset files are stored. Defaults to empty, in which case the assets are located in the `datasets_preview_backend_assets` subdirectory inside the OS default cache directory. +- `ASSETS_DIRECTORY`: directory where the asset files are stored. Defaults to empty, in which case the assets are located in the `datasets_server_assets` subdirectory inside the OS default cache directory. @@ -35,2 +35,2 @@ Set environment variables to configure the following aspects: -- `MONGO_CACHE_DATABASE`: the name of the database used for storing the cache. Defaults to `"datasets_preview_cache"`. -- `MONGO_QUEUE_DATABASE`: the name of the database used for storing the queue. Defaults to `"datasets_preview_queue"`. +- `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"`. diff --git a/services/worker/src/worker/constants.py b/services/worker/src/worker/constants.py index d30ce8e9..02ba8044 100644 --- a/services/worker/src/worker/constants.py +++ b/services/worker/src/worker/constants.py @@ -13,2 +13,2 @@ DEFAULT_MIN_CELL_BYTES: int = 100 -DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" -DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue" +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_server_queue" diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py index 4ee0448d..d81c35d1 100644 --- a/services/worker/src/worker/main.py +++ b/services/worker/src/worker/main.py @@ -41 +41 @@ def process_next_dataset_job() -> bool: - logger = logging.getLogger("datasets_preview_backend.worker") + logger = logging.getLogger("datasets_server.worker") @@ -70 +70 @@ def process_next_split_job() -> bool: - logger = logging.getLogger("datasets_preview_backend.worker") + logger = logging.getLogger("datasets_server.worker") @@ -118 +118 @@ def has_memory() -> bool: - logger = logging.getLogger("datasets_preview_backend.worker") + logger = logging.getLogger("datasets_server.worker") @@ -129 +129 @@ def has_cpu() -> bool: - logger = logging.getLogger("datasets_preview_backend.worker") + logger = logging.getLogger("datasets_server.worker") @@ -143 +143 @@ def sleep() -> None: - logger = logging.getLogger("datasets_preview_backend.worker") + logger = logging.getLogger("datasets_server.worker") diff --git a/services/worker/tests/_utils.py b/services/worker/tests/_utils.py index e8caba44..7ff4d977 100644 --- a/services/worker/tests/_utils.py +++ b/services/worker/tests/_utils.py @@ -6 +6 @@ DEFAULT_HF_TOKEN: str = "" -DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache_test" +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_server_cache_test" diff --git a/services/worker/tests/models/test_row.py b/services/worker/tests/models/test_row.py index 827eca05..fc4793fe 100644 --- a/services/worker/tests/models/test_row.py +++ b/services/worker/tests/models/test_row.py @@ -60 +60 @@ def test_community_with_no_config() -> None: - # see https://github.com/huggingface/datasets-preview-backend/issues/78 + # see https://github.com/huggingface/datasets-server/issues/78 diff --git a/services/worker/tests/test_refresh.py b/services/worker/tests/test_refresh.py index 5d13cf01..180f76bf 100644 --- a/services/worker/tests/test_refresh.py +++ b/services/worker/tests/test_refresh.py @@ -42 +42 @@ def test_config_error() -> None: - # see https://github.com/huggingface/datasets-preview-backend/issues/78 + # see https://github.com/huggingface/datasets-server/issues/78 @@ -57 +57 @@ def test_large_document() -> None: - # see https://github.com/huggingface/datasets-preview-backend/issues/89 + # see https://github.com/huggingface/datasets-server/issues/89
7d502623ec942b1cebddef6a3ed78319c409ea93
Sylvain Lesage
2022-05-03T14:04:19
Send docker images to ecr (#218)
diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml new file mode 100644 index 00000000..de5f1ede --- /dev/null +++ b/.github/workflows/docker.yml @@ -0,0 +1,48 @@ +name: "Build and push docker images" + +on: + workflow_dispatch: + push: + +env: + REGION: us-east-1 + REPOSITORY_PREFIX: 707930574880.dkr.ecr.us-east-1.amazonaws.com/hub-datasets-server- + +jobs: + build-and-push-image-api: + strategy: + fail-fast: false + matrix: + service: [api, worker] + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v2 + - name: Set outputs + id: vars + run: echo "::set-output name=sha_short::$(git rev-parse --short HEAD)" + - 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 + - name: Extract metadata (tags, labels) for Docker + id: meta + uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38 + with: + images: ${{ env.REPOSITORY_PREFIX }}${{ matrix.service }} + tags: | + type=raw,value=sha-${{ steps.vars.outputs.sha_short }} + - name: Build and push Docker image + uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc + with: + context: . + file: services/${{ matrix.service }}/Dockerfile + build-args: COMMIT=${{ steps.vars.outputs.sha_short }} + push: true + tags: ${{ steps.meta.outputs.tags }} + labels: ${{ steps.meta.outputs.labels }} diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 72ec0e1d..8a0ff1be 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -13,7 +13 @@ jobs: - [ - e2e, - services/api_service, - libs/libcache, - libs/libqueue, - libs/libutils, - ] + [e2e, services/api, libs/libcache, libs/libqueue, libs/libutils] @@ -57 +51 @@ jobs: - working-directory: [services/job_runner] + working-directory: [services/worker] diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index 6996046a..d181f0a9 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -14 +14 @@ jobs: - [services/api_service, libs/libcache, libs/libqueue, libs/libutils] + [services/api, libs/libcache, libs/libqueue, libs/libutils] @@ -44 +44 @@ jobs: - unit-tests-job-runner: + unit-tests-worker: @@ -52 +52 @@ jobs: - working-directory: [services/job_runner] + working-directory: [services/worker] diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace index f8f1e4eb..ba79372f 100644 --- a/.vscode/monorepo.code-workspace +++ b/.vscode/monorepo.code-workspace @@ -20,2 +20,2 @@ - "name": "services/api_service", - "path": "../services/api_service" + "name": "services/api", + "path": "../services/api" @@ -24,2 +24,2 @@ - "name": "services/job_runner", - "path": "../services/job_runner" + "name": "services/worker", + "path": "../services/worker" diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 4dbad413..5a6a0660 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -19,2 +19,2 @@ then install: -- [services/api_service](./services/api_service/INSTALL.md) -- [services/job_runner](./services/job_runner/INSTALL.md) +- [services/api](./services/api/INSTALL.md) +- [services/worker](./services/worker/INSTALL.md) @@ -62 +62 @@ Poetry keeps the exact version of all the dependencies in `poetry.lock`. If you -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/job_runner](./services/job_runner) takes a lot of time. +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. @@ -79,0 +80,18 @@ All the contributions should go through a pull request. The pull requests must b + +## 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 +``` diff --git a/INSTALL.md b/INSTALL.md index 3151f0ad..dc3e7c97 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -32 +32 @@ We also need to have a mongo server: -Install and deploy the API server with [services/api_service/INSTALL.md](./services/api_service/INSTALL.md) and the workers with [services/job_runner/INSTALL.md](./services/job_runner/INSTALL.md). +Install and deploy the API server with [services/api/INSTALL.md](./services/api/INSTALL.md) and the workers with [services/worker/INSTALL.md](./services/worker/INSTALL.md). @@ -36 +36 @@ Install and deploy the API server with [services/api_service/INSTALL.md](./servi -See the instructions in [services/api_service/INSTALL.md](./services/api_service/INSTALL.md#upgrade) and [services/job_runner/INSTALL.md](./services/job_runner/INSTALL.md#upgrade). Also migrate the databases if needed (see the [libcache migrations README](./libs/libcache/migrations/README.md)). +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)). diff --git a/Makefile b/Makefile index b4971cb2..a15d7fed 100644 --- a/Makefile +++ b/Makefile @@ -4,2 +4,2 @@ install: - $(MAKE) -C services/job_runner/ install - $(MAKE) -C services/api_service/ install + $(MAKE) -C services/worker/ install + $(MAKE) -C services/api/ install @@ -12,2 +12,2 @@ lock: - $(MAKE) -C services/job_runner/ lock - $(MAKE) -C services/api_service/ lock + $(MAKE) -C services/worker/ lock + $(MAKE) -C services/api/ lock @@ -17 +17 @@ api: - $(MAKE) -C services/api_service/ run + $(MAKE) -C services/api/ run @@ -21 +21 @@ worker: - $(MAKE) -C services/job_runner/ run + $(MAKE) -C services/worker/ run @@ -25,2 +25,2 @@ test: - $(MAKE) -C services/job_runner/ test - $(MAKE) -C services/api_service/ test + $(MAKE) -C services/worker/ test + $(MAKE) -C services/api/ test @@ -33,2 +33,2 @@ coverage: - $(MAKE) -C services/job_runner/ coverage - $(MAKE) -C services/api_service/ coverage + $(MAKE) -C services/worker/ coverage + $(MAKE) -C services/api/ coverage @@ -43,2 +43,2 @@ quality: - $(MAKE) -C services/job_runner/ quality - $(MAKE) -C services/api_service/ quality + $(MAKE) -C services/worker/ quality + $(MAKE) -C services/api/ quality @@ -53,2 +53,2 @@ style: - $(MAKE) -C services/job_runner/ style - $(MAKE) -C services/api_service/ style + $(MAKE) -C services/worker/ style + $(MAKE) -C services/api/ style diff --git a/README.md b/README.md index bb2ad069..f1b10776 100644 --- a/README.md +++ b/README.md @@ -19 +19 @@ The application is distributed in several components. -([api_service](./services/api_service)) is an API web server that exposes [endpoints](./services/api_service/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 `/rows`) only serve precomputed responses, because generating these responses takes time. @@ -21 +21 @@ 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 ([job_runner](./services/job_runner)) 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 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". diff --git a/deprecated/README.md b/deprecated/README.md index 12e6b5fc..10d21820 100644 --- a/deprecated/README.md +++ b/deprecated/README.md @@ -37 +37 @@ make cancel-waiting-jobs -how to monitor the job runners and the queue? +how to monitor the workers and the queue? diff --git a/docker-compose.yml b/docker-compose.yml index f6224d60..371e7482 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -6 +6 @@ services: - dockerfile: ./services/api_service/Dockerfile + dockerfile: ./services/api/Dockerfile @@ -24 +24 @@ services: - dockerfile: ./services/job_runner/Dockerfile + dockerfile: ./services/worker/Dockerfile @@ -38 +38 @@ services: - dockerfile: ./services/job_runner/Dockerfile + dockerfile: ./services/worker/Dockerfile diff --git a/infra/README.md b/infra/README.md new file mode 100644 index 00000000..0e3868d9 --- /dev/null +++ b/infra/README.md @@ -0,0 +1,14 @@ +# Infra + +## Amazon Elastic Container Registry (ECR) + +The docker images are pushed using the CI ([docker.yml](../.github/workflows/docker.yml)) to a private registry of docker images: https://us-east-1.console.aws.amazon.com/ecr/repositories?region=us-east-1. + +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. diff --git a/libs/libcache/poetry.lock b/libs/libcache/poetry.lock index 870fcccb..5fd3494e 100644 --- a/libs/libcache/poetry.lock +++ b/libs/libcache/poetry.lock @@ -799 +799 @@ name = "pywin32" -version = "303" +version = "304" @@ -1601,12 +1601,14 @@ pywin32 = [ - {file = "pywin32-303-cp310-cp310-win32.whl", hash = "sha256:6fed4af057039f309263fd3285d7b8042d41507343cd5fa781d98fcc5b90e8bb"}, - {file = "pywin32-303-cp310-cp310-win_amd64.whl", hash = "sha256:51cb52c5ec6709f96c3f26e7795b0bf169ee0d8395b2c1d7eb2c029a5008ed51"}, - {file = "pywin32-303-cp311-cp311-win32.whl", hash = "sha256:d9b5d87ca944eb3aa4cd45516203ead4b37ab06b8b777c54aedc35975dec0dee"}, - {file = "pywin32-303-cp311-cp311-win_amd64.whl", hash = "sha256:fcf44032f5b14fcda86028cdf49b6ebdaea091230eb0a757282aa656e4732439"}, - {file = "pywin32-303-cp36-cp36m-win32.whl", hash = "sha256:aad484d52ec58008ca36bd4ad14a71d7dd0a99db1a4ca71072213f63bf49c7d9"}, - {file = "pywin32-303-cp36-cp36m-win_amd64.whl", hash = "sha256:2a09632916b6bb231ba49983fe989f2f625cea237219530e81a69239cd0c4559"}, - {file = "pywin32-303-cp37-cp37m-win32.whl", hash = "sha256:b1675d82bcf6dbc96363fca747bac8bff6f6e4a447a4287ac652aa4b9adc796e"}, - {file = "pywin32-303-cp37-cp37m-win_amd64.whl", hash = "sha256:c268040769b48a13367221fced6d4232ed52f044ffafeda247bd9d2c6bdc29ca"}, - {file = "pywin32-303-cp38-cp38-win32.whl", hash = "sha256:5f9ec054f5a46a0f4dfd72af2ce1372f3d5a6e4052af20b858aa7df2df7d355b"}, - {file = "pywin32-303-cp38-cp38-win_amd64.whl", hash = "sha256:793bf74fce164bcffd9d57bb13c2c15d56e43c9542a7b9687b4fccf8f8a41aba"}, - {file = "pywin32-303-cp39-cp39-win32.whl", hash = "sha256:7d3271c98434617a11921c5ccf74615794d97b079e22ed7773790822735cc352"}, - {file = "pywin32-303-cp39-cp39-win_amd64.whl", hash = "sha256:79cbb862c11b9af19bcb682891c1b91942ec2ff7de8151e2aea2e175899cda34"}, + {file = "pywin32-304-cp310-cp310-win32.whl", hash = "sha256:3c7bacf5e24298c86314f03fa20e16558a4e4138fc34615d7de4070c23e65af3"}, + {file = "pywin32-304-cp310-cp310-win_amd64.whl", hash = "sha256:4f32145913a2447736dad62495199a8e280a77a0ca662daa2332acf849f0be48"}, + {file = "pywin32-304-cp310-cp310-win_arm64.whl", hash = "sha256:d3ee45adff48e0551d1aa60d2ec066fec006083b791f5c3527c40cd8aefac71f"}, + {file = "pywin32-304-cp311-cp311-win32.whl", hash = "sha256:30c53d6ce44c12a316a06c153ea74152d3b1342610f1b99d40ba2795e5af0269"}, + {file = "pywin32-304-cp311-cp311-win_amd64.whl", hash = "sha256:7ffa0c0fa4ae4077e8b8aa73800540ef8c24530057768c3ac57c609f99a14fd4"}, + {file = "pywin32-304-cp311-cp311-win_arm64.whl", hash = "sha256:cbbe34dad39bdbaa2889a424d28752f1b4971939b14b1bb48cbf0182a3bcfc43"}, + {file = "pywin32-304-cp36-cp36m-win32.whl", hash = "sha256:be253e7b14bc601718f014d2832e4c18a5b023cbe72db826da63df76b77507a1"}, + {file = "pywin32-304-cp36-cp36m-win_amd64.whl", hash = "sha256:de9827c23321dcf43d2f288f09f3b6d772fee11e809015bdae9e69fe13213988"}, + {file = "pywin32-304-cp37-cp37m-win32.whl", hash = "sha256:f64c0377cf01b61bd5e76c25e1480ca8ab3b73f0c4add50538d332afdf8f69c5"}, + {file = "pywin32-304-cp37-cp37m-win_amd64.whl", hash = "sha256:bb2ea2aa81e96eee6a6b79d87e1d1648d3f8b87f9a64499e0b92b30d141e76df"}, + {file = "pywin32-304-cp38-cp38-win32.whl", hash = "sha256:94037b5259701988954931333aafd39cf897e990852115656b014ce72e052e96"}, + {file = "pywin32-304-cp38-cp38-win_amd64.whl", hash = "sha256:ead865a2e179b30fb717831f73cf4373401fc62fbc3455a0889a7ddac848f83e"}, + {file = "pywin32-304-cp39-cp39-win32.whl", hash = "sha256:25746d841201fd9f96b648a248f731c1dec851c9a08b8e33da8b56148e4c65cc"}, + {file = "pywin32-304-cp39-cp39-win_amd64.whl", hash = "sha256:d24a3382f013b21aa24a5cfbfad5a2cd9926610c0affde3e8ab5b3d7dbcf4ac9"}, diff --git a/libs/libqueue/poetry.lock b/libs/libqueue/poetry.lock index 657335ba..150770ed 100644 --- a/libs/libqueue/poetry.lock +++ b/libs/libqueue/poetry.lock @@ -55 +55 @@ name = "azure-identity" -version = "1.9.0" +version = "1.10.0" @@ -65 +65 @@ msal = ">=1.12.0,<2.0.0" -msal-extensions = ">=0.3.0,<0.4.0" +msal-extensions = ">=0.3.0,<2.0.0" @@ -154 +154 @@ name = "click" -version = "8.1.2" +version = "8.1.3" @@ -438,2 +438,2 @@ name = "msal-extensions" -version = "0.3.1" -description = "" +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. 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rename to services/api/Dockerfile index 151f8c02..07212333 100644 --- a/services/api_service/Dockerfile +++ b/services/api/Dockerfile @@ -25 +25 @@ COPY tools ./tools/ -WORKDIR /src/services/api_service/ +WORKDIR /src/services/api/ diff --git a/services/api_service/INSTALL.md b/services/api/INSTALL.md similarity index 97% rename from services/api_service/INSTALL.md rename to services/api/INSTALL.md index 4ec83d9b..2551dcd5 100644 --- a/services/api_service/INSTALL.md +++ b/services/api/INSTALL.md @@ -96 +96 @@ git clone https://github.com/huggingface/datasets-preview-backend.git -cd datasets-preview-backend/services/api_service +cd datasets-preview-backend/services/api @@ -103 +103 @@ Copy and edit the environment variables file: -cd datasets-preview-backend/services/api_service +cd datasets-preview-backend/services/api @@ -156 +156 @@ If the Python version has been increased to 3.9.6, for example, [run](https://st -cd services/api_service +cd services/api @@ -171 +171 @@ Check if new environment variables are available and edit the environment variab -cd services/api_service +cd services/api diff --git a/services/api_service/Makefile b/services/api/Makefile similarity index 76% rename from services/api_service/Makefile rename to services/api/Makefile index 055be134..9474c54e 100644 --- a/services/api_service/Makefile +++ b/services/api/Makefile @@ -5 +5 @@ run: - poetry run python src/api_service/main.py + poetry run python src/api/main.py @@ -9 +9 @@ watch: - poetry run watchmedo auto-restart -d src/api_service -p "*.py" -R python src/api_service/main.py + poetry run watchmedo auto-restart -d src/api -p "*.py" -R python src/api/main.py diff --git a/services/api_service/README.md b/services/api/README.md similarity index 100% rename from services/api_service/README.md rename to services/api/README.md diff --git a/services/api_service/poetry.lock b/services/api/poetry.lock similarity index 98% rename from services/api_service/poetry.lock rename to 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"sha256:ead865a2e179b30fb717831f73cf4373401fc62fbc3455a0889a7ddac848f83e"}, + {file = "pywin32-304-cp39-cp39-win32.whl", hash = "sha256:25746d841201fd9f96b648a248f731c1dec851c9a08b8e33da8b56148e4c65cc"}, + {file = "pywin32-304-cp39-cp39-win_amd64.whl", hash = "sha256:d24a3382f013b21aa24a5cfbfad5a2cd9926610c0affde3e8ab5b3d7dbcf4ac9"}, diff --git a/services/api_service/poetry.toml b/services/api/poetry.toml similarity index 100% rename from services/api_service/poetry.toml rename to services/api/poetry.toml diff --git a/services/api_service/pyproject.toml b/services/api/pyproject.toml similarity index 95% rename from services/api_service/pyproject.toml rename to services/api/pyproject.toml index 057c8878..ec510f60 100644 --- a/services/api_service/pyproject.toml +++ b/services/api/pyproject.toml @@ -4 +4 @@ description = "REST API app" -name = "api_service" +name = "api" @@ -37 +37 @@ filterwarnings = ["ignore::DeprecationWarning"] -source = ["api_service"] +source = ["api"] diff --git a/services/api_service/src/api_service/__init__.py b/services/api/src/api/__init__.py similarity index 100% rename from services/api_service/src/api_service/__init__.py rename to services/api/src/api/__init__.py diff --git a/services/api_service/src/api_service/app.py b/services/api/src/api/app.py similarity index 76% rename from services/api_service/src/api_service/app.py rename to services/api/src/api/app.py index b72668c2..f8f78338 100644 --- a/services/api_service/src/api_service/app.py +++ b/services/api/src/api/app.py @@ -12 +12 @@ from starlette.staticfiles import StaticFiles -from api_service.config import ( +from api.config import ( @@ -22,4 +22,4 @@ from api_service.config import ( -from api_service.routes.cache_reports import cache_reports_endpoint -from api_service.routes.cache_stats import cache_stats_endpoint -from api_service.routes.healthcheck import healthcheck_endpoint -from api_service.routes.hf_datasets import ( +from api.routes.cache_reports import cache_reports_endpoint +from api.routes.cache_stats import cache_stats_endpoint +from api.routes.healthcheck import healthcheck_endpoint +from api.routes.hf_datasets import ( @@ -29 +29 @@ from api_service.routes.hf_datasets import ( -from api_service.routes.queue_dump import ( +from api.routes.queue_dump import ( @@ -33,6 +33,6 @@ from api_service.routes.queue_dump import ( -from api_service.routes.queue_stats import queue_stats_endpoint -from api_service.routes.refresh_split import refresh_split_endpoint -from api_service.routes.rows import rows_endpoint -from api_service.routes.splits import splits_endpoint -from api_service.routes.valid import is_valid_endpoint, valid_datasets_endpoint -from api_service.routes.webhook import webhook_endpoint +from api.routes.queue_stats import queue_stats_endpoint +from api.routes.refresh_split import refresh_split_endpoint +from api.routes.rows import rows_endpoint +from api.routes.splits import splits_endpoint +from api.routes.valid import is_valid_endpoint, valid_datasets_endpoint +from api.routes.webhook import webhook_endpoint diff --git a/services/api_service/src/api_service/config.py b/services/api/src/api/config.py similarity index 97% rename from services/api_service/src/api_service/config.py rename to services/api/src/api/config.py index 0977dd81..c8442650 100644 --- a/services/api_service/src/api_service/config.py +++ b/services/api/src/api/config.py @@ -6 +6 @@ from libutils.utils import get_int_value, get_str_or_none_value, get_str_value -from api_service.constants import ( +from api.constants import ( diff --git a/services/api_service/src/api_service/constants.py b/services/api/src/api/constants.py similarity index 100% rename from services/api_service/src/api_service/constants.py rename to services/api/src/api/constants.py diff --git a/services/api_service/src/api_service/hf_dataset.py b/services/api/src/api/hf_dataset.py similarity index 100% rename from services/api_service/src/api_service/hf_dataset.py rename to services/api/src/api/hf_dataset.py diff --git a/services/api_service/src/api_service/main.py b/services/api/src/api/main.py similarity index 54% rename from services/api_service/src/api_service/main.py rename to services/api/src/api/main.py index 8c4570d1..3c9212e2 100644 --- a/services/api_service/src/api_service/main.py +++ b/services/api/src/api/main.py @@ -1 +1 @@ -from api_service.app import start +from api.app import start diff --git a/services/api_service/src/api_service/middleware/__init__.py b/services/api/src/api/middleware/__init__.py similarity index 100% rename from services/api_service/src/api_service/middleware/__init__.py rename to services/api/src/api/middleware/__init__.py diff --git a/services/api_service/src/api_service/middleware/token.py b/services/api/src/api/middleware/token.py similarity index 97% rename from services/api_service/src/api_service/middleware/token.py rename to services/api/src/api/middleware/token.py index 7b20032b..54adde08 100644 --- a/services/api_service/src/api_service/middleware/token.py +++ b/services/api/src/api/middleware/token.py @@ -8 +8 @@ from starlette.requests import HTTPConnection -from api_service.constants import DEFAULT_DATASETS_ENABLE_PRIVATE +from api.constants import DEFAULT_DATASETS_ENABLE_PRIVATE diff --git a/services/api_service/src/api_service/py.typed b/services/api/src/api/py.typed similarity index 100% rename from services/api_service/src/api_service/py.typed rename to services/api/src/api/py.typed diff --git a/services/api_service/src/api_service/routes/__init__.py b/services/api/src/api/routes/__init__.py similarity index 100% rename from services/api_service/src/api_service/routes/__init__.py rename to services/api/src/api/routes/__init__.py diff --git a/services/api_service/src/api_service/routes/_utils.py b/services/api/src/api/routes/_utils.py similarity index 100% rename from services/api_service/src/api_service/routes/_utils.py rename to services/api/src/api/routes/_utils.py diff --git a/services/api_service/src/api_service/routes/cache_reports.py b/services/api/src/api/routes/cache_reports.py similarity index 85% rename from services/api_service/src/api_service/routes/cache_reports.py rename to services/api/src/api/routes/cache_reports.py index 6d8d5529..d7d2911f 100644 --- a/services/api_service/src/api_service/routes/cache_reports.py +++ b/services/api/src/api/routes/cache_reports.py @@ -8,2 +8,2 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_SHORT_SECONDS -from api_service.routes._utils import get_response +from api.config import MAX_AGE_SHORT_SECONDS +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/cache_stats.py b/services/api/src/api/routes/cache_stats.py similarity index 84% rename from services/api_service/src/api_service/routes/cache_stats.py rename to services/api/src/api/routes/cache_stats.py index d907842c..1ece1a40 100644 --- a/services/api_service/src/api_service/routes/cache_stats.py +++ b/services/api/src/api/routes/cache_stats.py @@ -8,2 +8,2 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_SHORT_SECONDS -from api_service.routes._utils import get_response +from api.config import MAX_AGE_SHORT_SECONDS +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/healthcheck.py b/services/api/src/api/routes/healthcheck.py similarity index 100% rename from services/api_service/src/api_service/routes/healthcheck.py rename to services/api/src/api/routes/healthcheck.py diff --git a/services/api_service/src/api_service/routes/hf_datasets.py b/services/api/src/api/routes/hf_datasets.py similarity index 86% rename from services/api_service/src/api_service/routes/hf_datasets.py rename to services/api/src/api/routes/hf_datasets.py index cb2c2f69..b1dd57e9 100644 --- a/services/api_service/src/api_service/routes/hf_datasets.py +++ b/services/api/src/api/routes/hf_datasets.py @@ -7,3 +7,3 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_LONG_SECONDS -from api_service.hf_dataset import get_hf_datasets -from api_service.routes._utils import get_response +from api.config import MAX_AGE_LONG_SECONDS +from api.hf_dataset import get_hf_datasets +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/queue_dump.py b/services/api/src/api/routes/queue_dump.py similarity index 90% rename from services/api_service/src/api_service/routes/queue_dump.py rename to services/api/src/api/routes/queue_dump.py index 36dec955..2a6c59c9 100644 --- a/services/api_service/src/api_service/routes/queue_dump.py +++ b/services/api/src/api/routes/queue_dump.py @@ -8,2 +8,2 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_SHORT_SECONDS -from api_service.routes._utils import get_response +from api.config import MAX_AGE_SHORT_SECONDS +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/queue_stats.py b/services/api/src/api/routes/queue_stats.py similarity index 85% rename from services/api_service/src/api_service/routes/queue_stats.py rename to services/api/src/api/routes/queue_stats.py index d8610fd5..f4425fe8 100644 --- a/services/api_service/src/api_service/routes/queue_stats.py +++ b/services/api/src/api/routes/queue_stats.py @@ -11,2 +11,2 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_SHORT_SECONDS -from api_service.routes._utils import get_response +from api.config import MAX_AGE_SHORT_SECONDS +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/refresh_split.py b/services/api/src/api/routes/refresh_split.py similarity index 97% rename from services/api_service/src/api_service/routes/refresh_split.py rename to services/api/src/api/routes/refresh_split.py index 3dd7392e..64c8d9c5 100644 --- a/services/api_service/src/api_service/routes/refresh_split.py +++ b/services/api/src/api/routes/refresh_split.py @@ -8 +8 @@ from starlette.responses import Response -from api_service.routes._utils import get_response +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/rows.py b/services/api/src/api/routes/rows.py similarity index 94% rename from services/api_service/src/api_service/routes/rows.py rename to services/api/src/api/routes/rows.py index 702be2a2..21db1ffe 100644 --- a/services/api_service/src/api_service/routes/rows.py +++ b/services/api/src/api/routes/rows.py @@ -9,2 +9,2 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_LONG_SECONDS -from api_service.routes._utils import get_response +from api.config import MAX_AGE_LONG_SECONDS +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/splits.py b/services/api/src/api/routes/splits.py similarity index 92% rename from services/api_service/src/api_service/routes/splits.py rename to services/api/src/api/routes/splits.py index d2f1b8f3..3fc55a70 100644 --- a/services/api_service/src/api_service/routes/splits.py +++ b/services/api/src/api/routes/splits.py @@ -9,2 +9,2 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_LONG_SECONDS -from api_service.routes._utils import get_response +from api.config import MAX_AGE_LONG_SECONDS +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/valid.py b/services/api/src/api/routes/valid.py similarity index 92% rename from services/api_service/src/api_service/routes/valid.py rename to services/api/src/api/routes/valid.py index 63fcde1a..5032fb05 100644 --- a/services/api_service/src/api_service/routes/valid.py +++ b/services/api/src/api/routes/valid.py @@ -12,2 +12,2 @@ from starlette.responses import Response -from api_service.config import MAX_AGE_LONG_SECONDS -from api_service.routes._utils import get_response +from api.config import MAX_AGE_LONG_SECONDS +from api.routes._utils import get_response diff --git a/services/api_service/src/api_service/routes/webhook.py b/services/api/src/api/routes/webhook.py similarity index 97% rename from services/api_service/src/api_service/routes/webhook.py rename to services/api/src/api/routes/webhook.py index f209523f..7ac030c6 100644 --- a/services/api_service/src/api_service/routes/webhook.py +++ b/services/api/src/api/routes/webhook.py @@ -9 +9 @@ from starlette.responses import Response -from api_service.routes._utils import get_response +from api.routes._utils import get_response diff --git a/services/api_service/tests/__init__.py b/services/api/tests/__init__.py similarity index 100% rename from services/api_service/tests/__init__.py rename to services/api/tests/__init__.py diff --git a/services/api_service/tests/_utils.py b/services/api/tests/_utils.py similarity index 100% rename from services/api_service/tests/_utils.py rename to services/api/tests/_utils.py diff --git a/services/api_service/tests/middleware/__init__.py b/services/api/tests/middleware/__init__.py similarity index 100% rename from services/api_service/tests/middleware/__init__.py rename to services/api/tests/middleware/__init__.py diff --git a/services/api_service/tests/middleware/test_token.py b/services/api/tests/middleware/test_token.py similarity index 93% rename from services/api_service/tests/middleware/test_token.py rename to services/api/tests/middleware/test_token.py index 90db1e38..e3c04d4e 100644 --- a/services/api_service/tests/middleware/test_token.py +++ b/services/api/tests/middleware/test_token.py @@ -6 +6 @@ from starlette.requests import Request -from api_service.middleware.token import get_token +from api.middleware.token import get_token diff --git a/services/api_service/tests/test_app.py b/services/api/tests/test_app.py similarity index 99% rename from services/api_service/tests/test_app.py rename to services/api/tests/test_app.py index 5058918c..3ddbd230 100644 --- a/services/api_service/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -13 +13 @@ from starlette.testclient import TestClient -from api_service.app import create_app +from api.app import create_app diff --git a/services/api_service/tests/test_hf_dataset.py b/services/api/tests/test_hf_dataset.py similarity index 94% rename from services/api_service/tests/test_hf_dataset.py rename to services/api/tests/test_hf_dataset.py index 380e8555..28512c24 100644 --- a/services/api_service/tests/test_hf_dataset.py +++ b/services/api/tests/test_hf_dataset.py @@ -1 +1 @@ -from api_service.hf_dataset import get_hf_datasets +from api.hf_dataset import get_hf_datasets diff --git a/services/job_runner/.env.example b/services/worker/.env.example similarity index 100% rename from services/job_runner/.env.example rename to services/worker/.env.example diff --git a/services/job_runner/.flake8 b/services/worker/.flake8 similarity index 100% rename from services/job_runner/.flake8 rename to services/worker/.flake8 diff --git a/services/job_runner/.python-version b/services/worker/.python-version similarity index 100% rename from services/job_runner/.python-version rename to services/worker/.python-version diff --git a/services/job_runner/Dockerfile b/services/worker/Dockerfile similarity index 97% rename from services/job_runner/Dockerfile rename to services/worker/Dockerfile index 7dc85f22..10df2279 100644 --- a/services/job_runner/Dockerfile +++ b/services/worker/Dockerfile @@ -41 +41 @@ COPY vendors ./vendors/ -WORKDIR /src/services/job_runner/ +WORKDIR /src/services/worker/ diff --git a/services/job_runner/INSTALL.md b/services/worker/INSTALL.md similarity index 90% rename from services/job_runner/INSTALL.md rename to services/worker/INSTALL.md index bc2a8855..c4a01ba9 100644 --- a/services/job_runner/INSTALL.md +++ b/services/worker/INSTALL.md @@ -49 +49 @@ Also [install poetry](https://python-poetry.org/docs/master/#installation). Don' -Install the job runner: +Install the worker: @@ -55 +55 @@ git clone https://github.com/huggingface/datasets-preview-backend.git -cd datasets-preview-backend/services/job_runner +cd datasets-preview-backend/services/worker @@ -62 +62 @@ Copy and edit the environment variables file: -cd datasets-preview-backend/services/job_runner +cd datasets-preview-backend/services/worker @@ -71 +71 @@ In particular, set the following environment variables to get access to the comm -Deploy the datasets job runners with: +Deploy the datasets workers with: @@ -74 +74 @@ Deploy the datasets job runners with: -pm2 start --name datasets-worker make -- -C /home/hf/datasets-preview-backend/services/job_runner/ datasets-worker +pm2 start --name datasets-worker make -- -C /home/hf/datasets-preview-backend/services/worker/ datasets-worker @@ -77 +77 @@ pm2 start --name datasets-worker make -- -C /home/hf/datasets-preview-backend/se -Deploy the splits job runners with: +Deploy the splits workers with: @@ -80 +80 @@ Deploy the splits job runners with: -pm2 start --name splits-worker make -- -C /home/hf/datasets-preview-backend/services/job_runner/ splits-worker +pm2 start --name splits-worker make -- -C /home/hf/datasets-preview-backend/services/worker/ splits-worker @@ -110 +110 @@ pm2 logs -To deploy a new version of the job-runner, first update the code +To deploy a new version of the worker, first update the code @@ -121 +121 @@ If the Python version has been increased to 3.9.6, for example, [run](https://st -cd services/job_runner +cd services/worker @@ -136 +136 @@ Check is new environment variables are available and edit the environment variab -cd services/job_runner +cd services/worker diff --git a/services/job_runner/Makefile b/services/worker/Makefile similarity index 78% rename from services/job_runner/Makefile rename to services/worker/Makefile index 17aa5217..9ffcefa8 100644 --- a/services/job_runner/Makefile +++ b/services/worker/Makefile @@ -5 +5 @@ run: - poetry run python src/job_runner/main.py + poetry run python src/worker/main.py @@ -9 +9 @@ datasets-worker: - WORKER_QUEUE=datasets poetry run python src/job_runner/main.py + WORKER_QUEUE=datasets poetry run python src/worker/main.py @@ -13 +13 @@ splits-worker: - WORKER_QUEUE=splits poetry run python src/job_runner/main.py + WORKER_QUEUE=splits poetry run python src/worker/main.py diff --git a/services/job_runner/README.md b/services/worker/README.md similarity index 97% rename from services/job_runner/README.md rename to services/worker/README.md index 27df3dd3..45ae4a6e 100644 --- a/services/job_runner/README.md +++ b/services/worker/README.md @@ -1 +1 @@ -# Datasets preview backend - job runner +# Datasets preview backend - worker @@ -3 +3 @@ -> Job runner to pre-process datasets and splits +> Worker to pre-process datasets and splits diff --git a/services/job_runner/poetry.lock b/services/worker/poetry.lock similarity index 96% rename from services/job_runner/poetry.lock rename to services/worker/poetry.lock index 988cb853..6cfb4cb2 100644 --- a/services/job_runner/poetry.lock +++ b/services/worker/poetry.lock @@ -358 +358 @@ name = "conllu" -version = "4.4.1" +version = "4.4.2" @@ -439 +439 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "toml (>=0.10.1)", "requests-file (>=1.5.1)", "tldextract (>=3.1.0)", "texttable (>=1.6.3)", "Werkzeug 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--- a/services/job_runner/pyproject.toml +++ b/services/worker/pyproject.toml @@ -4 +4 @@ description = "Worker that refreshes datasets and splits" -name = "job_runner" +name = "worker" @@ -63 +63 @@ filterwarnings = ["ignore::DeprecationWarning"] -source = ["job_runner"] +source = ["worker"] diff --git a/services/job_runner/src/job_runner/__init__.py b/services/worker/src/worker/__init__.py similarity index 100% rename from services/job_runner/src/job_runner/__init__.py rename to services/worker/src/worker/__init__.py diff --git a/services/job_runner/src/job_runner/config.py b/services/worker/src/worker/config.py similarity index 98% rename from services/job_runner/src/job_runner/config.py rename to services/worker/src/worker/config.py index cca9435c..6cf7ee75 100644 --- a/services/job_runner/src/job_runner/config.py +++ b/services/worker/src/worker/config.py @@ -12 +12 @@ from libutils.utils import ( -from job_runner.constants import ( +from worker.constants import ( diff --git a/services/job_runner/src/job_runner/constants.py b/services/worker/src/worker/constants.py similarity index 100% rename from services/job_runner/src/job_runner/constants.py rename to services/worker/src/worker/constants.py diff --git a/services/job_runner/src/job_runner/main.py b/services/worker/src/worker/main.py similarity index 97% rename from services/job_runner/src/job_runner/main.py rename to services/worker/src/worker/main.py index f91ccadf..4ee0448d 100644 --- a/services/job_runner/src/job_runner/main.py +++ b/services/worker/src/worker/main.py @@ -20 +20 @@ from psutil import cpu_count, getloadavg, swap_memory, virtual_memory -from job_runner.config import ( +from worker.config import ( @@ -37 +37 @@ from job_runner.config import ( -from job_runner.refresh import refresh_dataset_split_full_names, refresh_split +from worker.refresh import refresh_dataset_split_full_names, refresh_split diff --git a/services/job_runner/src/job_runner/models/__init__.py b/services/worker/src/worker/models/__init__.py similarity index 100% rename from services/job_runner/src/job_runner/models/__init__.py rename to services/worker/src/worker/models/__init__.py diff --git a/services/job_runner/src/job_runner/models/_guard.py b/services/worker/src/worker/models/_guard.py similarity index 81% rename from services/job_runner/src/job_runner/models/_guard.py rename to services/worker/src/worker/models/_guard.py index faa87c79..7e614cfe 100644 --- a/services/job_runner/src/job_runner/models/_guard.py +++ b/services/worker/src/worker/models/_guard.py @@ -3 +3 @@ from libutils.exceptions import Status400Error -from job_runner.config import DATASETS_BLOCKLIST +from worker.config import DATASETS_BLOCKLIST diff --git a/services/job_runner/src/job_runner/models/asset.py b/services/worker/src/worker/models/asset.py similarity index 98% rename from services/job_runner/src/job_runner/models/asset.py rename to services/worker/src/worker/models/asset.py index 412c210a..826f36b6 100644 --- a/services/job_runner/src/job_runner/models/asset.py +++ b/services/worker/src/worker/models/asset.py @@ -11 +11 @@ from pydub import AudioSegment # type:ignore -from job_runner.config import ASSETS_DIRECTORY +from worker.config import ASSETS_DIRECTORY diff --git a/services/job_runner/src/job_runner/models/column/__init__.py b/services/worker/src/worker/models/column/__init__.py similarity index 71% rename from services/job_runner/src/job_runner/models/column/__init__.py rename to services/worker/src/worker/models/column/__init__.py index 858ca781..9d456a37 100644 --- a/services/job_runner/src/job_runner/models/column/__init__.py +++ b/services/worker/src/worker/models/column/__init__.py @@ -6,5 +6,5 @@ from libutils.exceptions import Status400Error -from job_runner.config import ROWS_MAX_NUMBER -from job_runner.models.column.audio import AudioColumn -from job_runner.models.column.bool import BoolColumn -from job_runner.models.column.class_label import ClassLabelColumn -from job_runner.models.column.default import ( +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 ( @@ -19,8 +19,8 @@ from job_runner.models.column.default import ( -from job_runner.models.column.float import FloatColumn -from job_runner.models.column.image import ImageColumn -from job_runner.models.column.image_array2d import ImageArray2DColumn -from job_runner.models.column.image_array3d import ImageArray3DColumn -from job_runner.models.column.image_url import ImageUrlColumn -from job_runner.models.column.int import IntColumn -from job_runner.models.column.string import StringColumn -from job_runner.models.row import Row +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.row import Row diff --git a/services/job_runner/src/job_runner/models/column/audio.py b/services/worker/src/worker/models/column/audio.py similarity index 94% rename from services/job_runner/src/job_runner/models/column/audio.py rename to services/worker/src/worker/models/column/audio.py index 862ebe0a..56ec9a38 100644 --- a/services/job_runner/src/job_runner/models/column/audio.py +++ b/services/worker/src/worker/models/column/audio.py @@ -6,2 +6,2 @@ from numpy import ndarray # type:ignore -from job_runner.models.asset import create_audio_files -from job_runner.models.column.default import ( +from worker.models.asset import create_audio_files +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/bool.py b/services/worker/src/worker/models/column/bool.py similarity index 95% rename from services/job_runner/src/job_runner/models/column/bool.py rename to services/worker/src/worker/models/column/bool.py index fb7fea62..23b99d90 100644 --- a/services/job_runner/src/job_runner/models/column/bool.py +++ b/services/worker/src/worker/models/column/bool.py @@ -3 +3 @@ from typing import Any, List -from job_runner.models.column.default import ( +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/class_label.py b/services/worker/src/worker/models/column/class_label.py similarity index 95% rename from services/job_runner/src/job_runner/models/column/class_label.py rename to services/worker/src/worker/models/column/class_label.py index eec01b3f..4d035f14 100644 --- a/services/job_runner/src/job_runner/models/column/class_label.py +++ b/services/worker/src/worker/models/column/class_label.py @@ -5 +5 @@ from datasets import ClassLabel -from job_runner.models.column.default import ( +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/default.py b/services/worker/src/worker/models/column/default.py similarity index 100% rename from services/job_runner/src/job_runner/models/column/default.py rename to services/worker/src/worker/models/column/default.py diff --git a/services/job_runner/src/job_runner/models/column/float.py b/services/worker/src/worker/models/column/float.py similarity index 96% rename from services/job_runner/src/job_runner/models/column/float.py rename to services/worker/src/worker/models/column/float.py index 2cb9b6df..9de9d34c 100644 --- a/services/job_runner/src/job_runner/models/column/float.py +++ b/services/worker/src/worker/models/column/float.py @@ -3 +3 @@ from typing import Any, List -from job_runner.models.column.default import ( +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/image.py b/services/worker/src/worker/models/column/image.py similarity index 93% rename from services/job_runner/src/job_runner/models/column/image.py rename to services/worker/src/worker/models/column/image.py index 02562aa9..b4dfb24a 100644 --- a/services/job_runner/src/job_runner/models/column/image.py +++ b/services/worker/src/worker/models/column/image.py @@ -6,2 +6,2 @@ from PIL import Image as PILImage # type: ignore -from job_runner.models.asset import create_image_file -from job_runner.models.column.default import ( +from worker.models.asset import create_image_file +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/image_array2d.py b/services/worker/src/worker/models/column/image_array2d.py similarity index 94% rename from services/job_runner/src/job_runner/models/column/image_array2d.py rename to services/worker/src/worker/models/column/image_array2d.py index 3dd04858..8bf6464f 100644 --- a/services/job_runner/src/job_runner/models/column/image_array2d.py +++ b/services/worker/src/worker/models/column/image_array2d.py @@ -7,2 +7,2 @@ from PIL import Image # type: ignore -from job_runner.models.asset import create_image_file -from job_runner.models.column.default import ( +from worker.models.asset import create_image_file +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/image_array3d.py b/services/worker/src/worker/models/column/image_array3d.py similarity index 94% rename from services/job_runner/src/job_runner/models/column/image_array3d.py rename to services/worker/src/worker/models/column/image_array3d.py index 59868332..847ef16c 100644 --- a/services/job_runner/src/job_runner/models/column/image_array3d.py +++ b/services/worker/src/worker/models/column/image_array3d.py @@ -7,2 +7,2 @@ from PIL import Image # type: ignore -from job_runner.models.asset import create_image_file -from job_runner.models.column.default import ( +from worker.models.asset import create_image_file +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/image_url.py b/services/worker/src/worker/models/column/image_url.py similarity index 96% rename from services/job_runner/src/job_runner/models/column/image_url.py rename to services/worker/src/worker/models/column/image_url.py index 7e356b92..b3fb64cc 100644 --- a/services/job_runner/src/job_runner/models/column/image_url.py +++ b/services/worker/src/worker/models/column/image_url.py @@ -3 +3 @@ from typing import Any, List -from job_runner.models.column.default import ( +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/int.py b/services/worker/src/worker/models/column/int.py similarity index 96% rename from services/job_runner/src/job_runner/models/column/int.py rename to services/worker/src/worker/models/column/int.py index 11abbe4a..0e65ab80 100644 --- a/services/job_runner/src/job_runner/models/column/int.py +++ b/services/worker/src/worker/models/column/int.py @@ -3 +3 @@ from typing import Any, List -from job_runner.models.column.default import ( +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/column/string.py b/services/worker/src/worker/models/column/string.py similarity index 95% rename from services/job_runner/src/job_runner/models/column/string.py rename to services/worker/src/worker/models/column/string.py index e69ca5e8..c0cb2ce2 100644 --- a/services/job_runner/src/job_runner/models/column/string.py +++ b/services/worker/src/worker/models/column/string.py @@ -3 +3 @@ from typing import Any, List -from job_runner.models.column.default import ( +from worker.models.column.default import ( diff --git a/services/job_runner/src/job_runner/models/dataset.py b/services/worker/src/worker/models/dataset.py similarity index 95% rename from services/job_runner/src/job_runner/models/dataset.py rename to services/worker/src/worker/models/dataset.py index 82217749..eb2f19ec 100644 --- a/services/job_runner/src/job_runner/models/dataset.py +++ b/services/worker/src/worker/models/dataset.py @@ -9 +9 @@ from libutils.types import SplitFullName -from job_runner.models._guard import guard_blocked_datasets +from worker.models._guard import guard_blocked_datasets diff --git a/services/job_runner/src/job_runner/models/info.py b/services/worker/src/worker/models/info.py similarity index 100% rename from services/job_runner/src/job_runner/models/info.py rename to services/worker/src/worker/models/info.py diff --git a/services/job_runner/src/job_runner/models/py.typed b/services/worker/src/worker/models/py.typed similarity index 100% rename from services/job_runner/src/job_runner/models/py.typed rename to services/worker/src/worker/models/py.typed diff --git a/services/job_runner/src/job_runner/models/row.py b/services/worker/src/worker/models/row.py similarity index 96% rename from services/job_runner/src/job_runner/models/row.py rename to services/worker/src/worker/models/row.py index 304f6bc0..b83c59aa 100644 --- a/services/job_runner/src/job_runner/models/row.py +++ b/services/worker/src/worker/models/row.py @@ -8 +8 @@ from libutils.utils import retry -from job_runner.constants import DEFAULT_ROWS_MAX_NUMBER +from worker.constants import DEFAULT_ROWS_MAX_NUMBER diff --git a/services/job_runner/src/job_runner/models/split.py b/services/worker/src/worker/models/split.py similarity index 95% rename from services/job_runner/src/job_runner/models/split.py rename to services/worker/src/worker/models/split.py index f6db5ad3..3d2661b9 100644 --- a/services/job_runner/src/job_runner/models/split.py +++ b/services/worker/src/worker/models/split.py @@ -8,6 +8,6 @@ from libutils.utils import orjson_dumps -from job_runner.config import MIN_CELL_BYTES -from job_runner.models._guard import guard_blocked_datasets -from job_runner.models.column import Column -from job_runner.models.info import get_info -from job_runner.models.row import Row -from job_runner.models.typed_row import get_typed_rows_and_columns +from worker.config import MIN_CELL_BYTES +from worker.models._guard import guard_blocked_datasets +from worker.models.column import Column +from worker.models.info import get_info +from worker.models.row import Row +from worker.models.typed_row import get_typed_rows_and_columns diff --git a/services/job_runner/src/job_runner/models/typed_row.py b/services/worker/src/worker/models/typed_row.py similarity index 93% rename from services/job_runner/src/job_runner/models/typed_row.py rename to services/worker/src/worker/models/typed_row.py index 1bf41668..6f7944f0 100644 --- a/services/job_runner/src/job_runner/models/typed_row.py +++ b/services/worker/src/worker/models/typed_row.py @@ -7,2 +7,2 @@ from libutils.exceptions import Status400Error -from job_runner.models.column import Column, get_columns -from job_runner.models.row import Row, get_rows +from worker.models.column import Column, get_columns +from worker.models.row import Row, get_rows diff --git a/services/job_runner/src/job_runner/py.typed b/services/worker/src/worker/py.typed similarity index 100% rename from services/job_runner/src/job_runner/py.typed rename to services/worker/src/worker/py.typed diff --git a/services/job_runner/src/job_runner/refresh.py b/services/worker/src/worker/refresh.py similarity index 95% rename from services/job_runner/src/job_runner/refresh.py rename to services/worker/src/worker/refresh.py index 0ff000db..54b0ca47 100644 --- a/services/job_runner/src/job_runner/refresh.py +++ b/services/worker/src/worker/refresh.py @@ -13,2 +13,2 @@ from libutils.types import SplitFullName -from job_runner.models.dataset import get_dataset_split_full_names -from job_runner.models.split import get_split +from worker.models.dataset import get_dataset_split_full_names +from worker.models.split import get_split diff --git a/services/job_runner/tests/__init__.py b/services/worker/tests/__init__.py similarity index 100% rename from services/job_runner/tests/__init__.py rename to services/worker/tests/__init__.py diff --git a/services/job_runner/tests/_utils.py b/services/worker/tests/_utils.py similarity index 100% rename from services/job_runner/tests/_utils.py rename to services/worker/tests/_utils.py diff --git a/services/job_runner/tests/models/__init__.py b/services/worker/tests/models/__init__.py similarity index 100% rename from services/job_runner/tests/models/__init__.py rename to services/worker/tests/models/__init__.py diff --git a/services/job_runner/tests/models/test_column.py b/services/worker/tests/models/test_column.py similarity index 91% rename from services/job_runner/tests/models/test_column.py rename to services/worker/tests/models/test_column.py index 42f47bd5..1a25678c 100644 --- a/services/job_runner/tests/models/test_column.py +++ b/services/worker/tests/models/test_column.py @@ -1,3 +1,3 @@ -from job_runner.models.column import ColumnType, get_columns -from job_runner.models.column.class_label import ClassLabelColumn -from job_runner.models.info import get_info +from worker.models.column import ColumnType, get_columns +from worker.models.column.class_label import ClassLabelColumn +from worker.models.info import get_info diff --git a/services/job_runner/tests/models/test_dataset.py b/services/worker/tests/models/test_dataset.py similarity index 97% rename from services/job_runner/tests/models/test_dataset.py rename to services/worker/tests/models/test_dataset.py index 550c44a8..86df7460 100644 --- a/services/job_runner/tests/models/test_dataset.py +++ b/services/worker/tests/models/test_dataset.py @@ -4 +4 @@ from libutils.exceptions import Status400Error -from job_runner.models.dataset import get_dataset_split_full_names +from worker.models.dataset import get_dataset_split_full_names diff --git a/services/job_runner/tests/models/test_info.py b/services/worker/tests/models/test_info.py similarity index 84% rename from services/job_runner/tests/models/test_info.py rename to services/worker/tests/models/test_info.py index 9561e22b..72eb1479 100644 --- a/services/job_runner/tests/models/test_info.py +++ b/services/worker/tests/models/test_info.py @@ -1 +1 @@ -from job_runner.models.info import get_info +from worker.models.info import get_info diff --git a/services/job_runner/tests/models/test_row.py b/services/worker/tests/models/test_row.py similarity index 98% rename from services/job_runner/tests/models/test_row.py rename to services/worker/tests/models/test_row.py index 71a6ac04..827eca05 100644 --- a/services/job_runner/tests/models/test_row.py +++ b/services/worker/tests/models/test_row.py @@ -3 +3 @@ from PIL import Image # type: ignore -from job_runner.models.row import get_rows +from worker.models.row import get_rows diff --git a/services/job_runner/tests/models/test_split.py b/services/worker/tests/models/test_split.py similarity index 96% rename from services/job_runner/tests/models/test_split.py rename to services/worker/tests/models/test_split.py index f16ba5bb..eb1ba796 100644 --- a/services/job_runner/tests/models/test_split.py +++ b/services/worker/tests/models/test_split.py @@ -1 +1 @@ -from job_runner.models.split import get_split +from worker.models.split import get_split diff --git a/services/job_runner/tests/models/test_typed_row.py b/services/worker/tests/models/test_typed_row.py similarity index 94% rename from services/job_runner/tests/models/test_typed_row.py rename to services/worker/tests/models/test_typed_row.py index 60c02661..e4cf754e 100644 --- a/services/job_runner/tests/models/test_typed_row.py +++ b/services/worker/tests/models/test_typed_row.py @@ -1,3 +1,3 @@ -from job_runner.models.column import ClassLabelColumn, ColumnType -from job_runner.models.info import get_info -from job_runner.models.typed_row import get_typed_rows_and_columns +from worker.models.column import ClassLabelColumn, ColumnType +from worker.models.info import get_info +from worker.models.typed_row import get_typed_rows_and_columns diff --git a/services/job_runner/tests/test_refresh.py b/services/worker/tests/test_refresh.py similarity index 96% rename from services/job_runner/tests/test_refresh.py rename to services/worker/tests/test_refresh.py index fb98adf8..5d13cf01 100644 --- a/services/job_runner/tests/test_refresh.py +++ b/services/worker/tests/test_refresh.py @@ -11 +11 @@ from libutils.exceptions import Status400Error -from job_runner.refresh import refresh_dataset_split_full_names, refresh_split +from worker.refresh import refresh_dataset_split_full_names, refresh_split
6f8e8f04bc56f9e6d30d60b604fb82d886f3d716
Sylvain Lesage
2022-05-03T09:21:24
Docker (#214)
diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 00000000..de35e8c8 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,16 @@ +.github +.git +.circleci +.vscode +assets +**/__pycache__ +**/.pytest_cache +**/.egg +**/.egg-info +**/*.md +**/*.env* +**/.venv +**/.mypy_cache +**/.pytest_cache +**/.coverage +**/coverage.xml diff --git a/.github/workflows/e2e-tests.yml b/.github/workflows/e2e-tests.yml new file mode 100644 index 00000000..770fce2f --- /dev/null +++ b/.github/workflows/e2e-tests.yml @@ -0,0 +1,35 @@ +name: Launch e2e tests +on: [push] + +jobs: + e2e-tests: + strategy: + fail-fast: false + matrix: + python-version: [3.9.6] + poetry-version: [1.1.7] + os: [ubuntu-latest] + working-directory: [e2e] + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v2 + - name: Use Python + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - name: Use Poetry + uses: abatilo/[email protected] + with: + poetry-version: ${{ matrix.poetry-version }} + - name: Build the docker images + run: docker-compose build + - name: Launch the services + run: docker-compose up -d + - name: Install dependencies + run: | + cd ${{ matrix.working-directory }} + poetry install + - name: End-to-end tests + run: | + cd ${{ matrix.working-directory }} + make e2e diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 70460f1c..72ec0e1d 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -13 +13,7 @@ jobs: - [services/api_service, libs/libcache, libs/libqueue, libs/libutils] + [ + e2e, + services/api_service, + libs/libcache, + libs/libqueue, + libs/libutils, + ] diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index 6c913a11..6996046a 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -9 +9 @@ jobs: - mongo-port: [27018] + mongo-port: [27017] @@ -48 +48 @@ jobs: - mongo-port: [27018] + mongo-port: [27017] diff --git a/INSTALL.md b/INSTALL.md index afbfa5bf..3151f0ad 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -2,0 +3,10 @@ +## Docker + +Install docker (see https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository and https://docs.docker.com/engine/install/linux-postinstall/) + +``` +docker-compose up --build -d --scale splits-worker=5 +``` + +## Without docker + @@ -19 +29 @@ We also need to have a mongo server: - docker run -p 27018:27017 --name datasets-preview-backend-mongo -d --restart always mongo:latest + docker run -p 27017:27017 --name datasets-preview-backend-mongo -d --restart always mongo:latest diff --git a/Makefile b/Makefile index f54175ab..b4971cb2 100644 --- a/Makefile +++ b/Makefile @@ -41,0 +42 @@ quality: + $(MAKE) -C e2e/ quality @@ -50,0 +52 @@ style: + $(MAKE) -C e2e/ style @@ -55,0 +58,4 @@ style: + +.PHONY: e2e +e2e: + $(MAKE) -C e2e/ e2e diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 00000000..f6224d60 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,56 @@ +version: "3.9" +services: + api: + build: + context: . + dockerfile: ./services/api_service/Dockerfile + volumes: + - assets:/assets:ro + environment: + APP_PORT: 8000 + APP_HOSTNAME: 0.0.0.0 + ASSETS_DIRECTORY: "/assets" + MONGO_URL: "mongodb://mongodb" + WEB_CONCURRENCY: 1 + ports: + - 8000:8000 + depends_on: + mongodb: + condition: service_started + restart: unless-stopped + datasets-worker: + build: + context: . + dockerfile: ./services/job_runner/Dockerfile + volumes: + - assets:/assets:rw + environment: + ASSETS_DIRECTORY: "/assets" + MONGO_URL: "mongodb://mongodb" + WORKER_QUEUE: "datasets" + depends_on: + mongodb: + condition: service_started + restart: always + splits-worker: + build: + context: . + dockerfile: ./services/job_runner/Dockerfile + volumes: + - assets:/assets:rw + environment: + ASSETS_DIRECTORY: "/assets" + MONGO_URL: "mongodb://mongodb" + WORKER_QUEUE: "splits" + depends_on: + mongodb: + condition: service_started + restart: always + mongodb: + image: mongo + volumes: + - mongo:/data/db:rw + # TODO: authentication, healthcheck, expose?, migrations? +volumes: + assets: + mongo: diff --git a/e2e/.flake8 b/e2e/.flake8 new file mode 100644 index 00000000..f7d6157c --- /dev/null +++ b/e2e/.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/e2e/.python-version b/e2e/.python-version new file mode 100644 index 00000000..1635d0f5 --- /dev/null +++ b/e2e/.python-version @@ -0,0 +1 @@ +3.9.6 diff --git a/e2e/INSTALL.md b/e2e/INSTALL.md new file mode 100644 index 00000000..652923fb --- /dev/null +++ b/e2e/INSTALL.md @@ -0,0 +1,20 @@ +# 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/Makefile b/e2e/Makefile new file mode 100644 index 00000000..374f8a52 --- /dev/null +++ b/e2e/Makefile @@ -0,0 +1,5 @@ +include ../tools/Common.mk + +.PHONY: e2e +e2e: + poetry run python -m pytest -x tests diff --git a/e2e/README.md b/e2e/README.md new file mode 100644 index 00000000..8c7a515a --- /dev/null +++ b/e2e/README.md @@ -0,0 +1,9 @@ +# e2e + +End to end tests, written in Python + +Install (see [INSTALL.md](./INSTALL.md)), then: + +``` +make e2e +``` diff --git a/e2e/poetry.lock b/e2e/poetry.lock new file mode 100644 index 00000000..e03f8449 --- /dev/null +++ b/e2e/poetry.lock @@ -0,0 +1,710 @@ +[[package]] +name = "atomicwrites" +version = "1.4.0" +description = "Atomic file writes." +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[[package]] +name = "attrs" +version = "21.4.0" +description = "Classes Without Boilerplate" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[package.extras] +dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "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)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"] +tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"] + +[[package]] +name = "bandit" +version = "1.7.4" +description = "Security oriented static analyser for python code." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +colorama = {version = ">=0.3.9", markers = "platform_system == \"Windows\""} +GitPython = ">=1.0.1" +PyYAML = ">=5.3.1" +stevedore = ">=1.20.0" + +[package.extras] +test = ["coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "toml", "beautifulsoup4 (>=4.8.0)", "pylint (==1.9.4)"] +toml = ["toml"] +yaml = ["pyyaml"] + +[[package]] +name = "black" +version = "22.3.0" +description = "The uncompromising code formatter." +category = "dev" +optional = false +python-versions = ">=3.6.2" + +[package.dependencies] +click = ">=8.0.0" +mypy-extensions = ">=0.4.3" +pathspec = ">=0.9.0" +platformdirs = ">=2" +tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} +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 = "certifi" +version = "2021.10.8" +description = "Python package for providing Mozilla's CA Bundle." +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "charset-normalizer" +version = "2.0.12" +description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." +category = "main" +optional = false +python-versions = ">=3.5.0" + +[package.extras] +unicode_backport = ["unicodedata2"] + +[[package]] +name = "click" +version = "8.1.3" +description = "Composable command line interface toolkit" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + +[[package]] +name = "colorama" +version = "0.4.4" +description = "Cross-platform colored terminal text." +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[[package]] +name = "dparse" +version = "0.5.1" +description = "A parser for Python dependency files" +category = "main" +optional = false +python-versions = ">=3.5" + +[package.dependencies] +packaging = "*" +pyyaml = "*" +toml = "*" + +[package.extras] +pipenv = ["pipenv"] + +[[package]] +name = "flake8" +version = "3.9.2" +description = "the modular source code checker: pep8 pyflakes and co" +category = "dev" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" + +[package.dependencies] +mccabe = ">=0.6.0,<0.7.0" +pycodestyle = ">=2.7.0,<2.8.0" +pyflakes = ">=2.3.0,<2.4.0" + +[[package]] +name = "gitdb" +version = "4.0.9" +description = "Git Object Database" +category = "dev" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +smmap = ">=3.0.1,<6" + +[[package]] +name = "gitpython" +version = "3.1.27" +description = "GitPython is a python library used to interact with Git repositories" +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +gitdb = ">=4.0.1,<5" + +[[package]] +name = "idna" +version = "3.3" +description = "Internationalized Domain Names in Applications (IDNA)" +category = "main" +optional = false +python-versions = ">=3.5" + +[[package]] +name = "iniconfig" +version = "1.1.1" +description = "iniconfig: brain-dead simple config-ini parsing" +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "isort" +version = "5.10.1" +description = "A Python utility / library to sort Python imports." +category = "dev" +optional = false +python-versions = ">=3.6.1,<4.0" + +[package.extras] +pipfile_deprecated_finder = ["pipreqs", "requirementslib"] +requirements_deprecated_finder = ["pipreqs", "pip-api"] +colors = ["colorama (>=0.4.3,<0.5.0)"] +plugins = ["setuptools"] + +[[package]] +name = "mccabe" +version = "0.6.1" +description = "McCabe checker, plugin for flake8" +category = "dev" +optional = false +python-versions = "*" + +[[package]] +name = "mypy" +version = "0.812" +description = "Optional static typing for Python" +category = "dev" +optional = false +python-versions = ">=3.5" + +[package.dependencies] +mypy-extensions = ">=0.4.3,<0.5.0" +typed-ast = ">=1.4.0,<1.5.0" +typing-extensions = ">=3.7.4" + +[package.extras] +dmypy = ["psutil (>=4.0)"] + +[[package]] +name = "mypy-extensions" +version = "0.4.3" +description = "Experimental type system extensions for programs checked with the mypy typechecker." +category = "dev" +optional = false +python-versions = "*" + +[[package]] +name = "packaging" +version = "21.3" +description = "Core utilities for Python packages" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" + +[[package]] +name = "pathspec" +version = "0.9.0" +description = "Utility library for gitignore style pattern matching of file paths." +category = "dev" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7" + +[[package]] +name = "pbr" +version = "5.8.1" +description = "Python Build Reasonableness" +category = "dev" +optional = false +python-versions = ">=2.6" + +[[package]] +name = "platformdirs" +version = "2.5.2" +description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.extras] +docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"] +test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"] + +[[package]] +name = "pluggy" +version = "1.0.0" +description = "plugin and hook calling mechanisms for python" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.extras] +dev = ["pre-commit", "tox"] +testing = ["pytest", "pytest-benchmark"] + +[[package]] +name = "poetryup" +version = "0.3.15" +description = "Update dependencies and bump their version in the pyproject.toml file" +category = "dev" +optional = false +python-versions = ">=3.6,<4.0" + +[package.dependencies] +tomlkit = ">=0.7.2,<0.8.0" + +[[package]] +name = "py" +version = "1.11.0" +description = "library with cross-python path, ini-parsing, io, code, log facilities" +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[[package]] +name = "pycodestyle" +version = "2.7.0" +description = "Python style guide checker" +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[[package]] +name = "pyflakes" +version = "2.3.1" +description = "passive checker of Python programs" +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[[package]] +name = "pyparsing" +version = "3.0.8" +description = "pyparsing module - Classes and methods to define and execute parsing grammars" +category = "main" +optional = false +python-versions = ">=3.6.8" + +[package.extras] +diagrams = ["railroad-diagrams", "jinja2"] + +[[package]] +name = "pytest" +version = "6.2.5" +description = "pytest: simple powerful testing with Python" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""} +attrs = ">=19.2.0" +colorama = {version = "*", markers = "sys_platform == \"win32\""} +iniconfig = "*" +packaging = "*" +pluggy = ">=0.12,<2.0" +py = ">=1.8.2" +toml = "*" + +[package.extras] +testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"] + +[[package]] +name = "pyyaml" +version = "6.0" +description = "YAML parser and emitter for Python" +category = "main" +optional = false +python-versions = ">=3.6" + +[[package]] +name = "requests" +version = "2.27.1" +description = "Python HTTP for Humans." +category = "main" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" + +[package.dependencies] +certifi = ">=2017.4.17" +charset-normalizer = {version = ">=2.0.0,<2.1.0", markers = "python_version >= \"3\""} +idna = {version = ">=2.5,<4", markers = "python_version >= \"3\""} +urllib3 = ">=1.21.1,<1.27" + +[package.extras] +socks = ["PySocks 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= "^3.9.2" +isort = "^5.9.3" +mypy = "0.812" +poetryup = "^0.3.8" + +[build-system] +build-backend = "poetry.core.masonry.api" +requires = ["poetry-core>=1.0.0"] + +[tool.pytest.ini_options] +filterwarnings = ["ignore::DeprecationWarning"] + +[tool.isort] +profile = "black" + +[tool.black] +line-length = 119 +preview = true + +[tool.mypy] +strict = true diff --git a/e2e/src/__init__.py b/e2e/src/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/e2e/tests/__init__.py b/e2e/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/e2e/tests/py.typed b/e2e/tests/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/e2e/tests/test_api.py b/e2e/tests/test_api.py new file mode 100644 index 00000000..44db8d7a --- /dev/null +++ b/e2e/tests/test_api.py @@ -0,0 +1,19 @@ +# import pytest +import requests + +URL = "http://localhost:8000" + + +def test_healthcheck(): + response = requests.get(f"{URL}/healthcheck") + assert response.status_code == 200 + + +def test_get_dataset(): + response = requests.post(f"{URL}/webhook", json={"update": "datasets/acronym_identification"}) + assert response.status_code == 200 + + response = requests.get(f"{URL}/queue") + json = response.json() + datasets = json["datasets"] + assert datasets["waiting"] + datasets["started"] + datasets["success"] >= 1 diff --git a/libs/libcache/migrations/README.md b/libs/libcache/migrations/README.md index a3fe882b..764dd734 100644 --- a/libs/libcache/migrations/README.md +++ b/libs/libcache/migrations/README.md @@ -14 +14 @@ Before apply the migration script, be sure to **backup** the database, in case o -mongodump --forceTableScan --uri=mongodb://localhost:27018 --archive=dump.bson +mongodump --forceTableScan --uri=mongodb://localhost:27017 --archive=dump.bson @@ -21 +21 @@ export MONGO_CACHE_DATABASE="datasets_preview_queue_test" -export MONGO_URL="mongodb://localhost:27018" +export MONGO_URL="mongodb://localhost:27017" @@ -29 +29 @@ export MONGO_CACHE_DATABASE="datasets_preview_queue_test" -export MONGO_URL="mongodb://localhost:27018" +export MONGO_URL="mongodb://localhost:27017" @@ -37 +37 @@ In case of **error**, restore the database, else remove the dump file -export MONGO_URL="mongodb://localhost:27018" +export MONGO_URL="mongodb://localhost:27017" diff --git a/libs/libcache/migrations/_utils.py b/libs/libcache/migrations/_utils.py index abb86563..9eced3c4 100644 --- a/libs/libcache/migrations/_utils.py +++ b/libs/libcache/migrations/_utils.py @@ -11 +11 @@ DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27017" diff --git a/libs/libcache/tests/_utils.py b/libs/libcache/tests/_utils.py index adf68a5c..6b25814e 100644 --- a/libs/libcache/tests/_utils.py +++ b/libs/libcache/tests/_utils.py @@ -6 +6 @@ DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache_test" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27017" diff --git a/libs/libqueue/tests/_utils.py b/libs/libqueue/tests/_utils.py index bbc675cd..8491005b 100644 --- a/libs/libqueue/tests/_utils.py +++ b/libs/libqueue/tests/_utils.py @@ -6 +6 @@ DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue_test" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27017" diff --git a/services/api_service/.env.example b/services/api_service/.env.example index e2905627..e01f18aa 100644 --- a/services/api_service/.env.example +++ b/services/api_service/.env.example @@ -26 +26 @@ -# MONGO_URL="mongodb://localhost:27018" +# MONGO_URL="mongodb://localhost:27017" diff --git a/services/api_service/Dockerfile b/services/api_service/Dockerfile new file mode 100644 index 00000000..151f8c02 --- /dev/null +++ b/services/api_service/Dockerfile @@ -0,0 +1,31 @@ +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 \ + && rm -rf /var/lib/apt/lists/* +RUN pip install -U --no-cache-dir pip +RUN pip install "poetry==$POETRY_VERSION" + +WORKDIR /src +COPY libs ./libs/ +COPY services ./services/ +COPY tools ./tools/ +WORKDIR /src/services/api_service/ +RUN poetry install + +EXPOSE 8000 + +ENTRYPOINT ["make"] +CMD ["run"] diff --git a/services/api_service/README.md b/services/api_service/README.md index 0ac4bca0..49a1f6cc 100644 --- a/services/api_service/README.md +++ b/services/api_service/README.md @@ -27 +27 @@ Set environment variables to configure the following aspects: -- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27018"`. +- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27017"`. diff --git a/services/api_service/tests/_utils.py b/services/api_service/tests/_utils.py index bbc675cd..8491005b 100644 --- a/services/api_service/tests/_utils.py +++ b/services/api_service/tests/_utils.py @@ -6 +6 @@ DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue_test" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27017" diff --git a/services/job_runner/.env.example b/services/job_runner/.env.example index b97f5636..936bfa5d 100644 --- a/services/job_runner/.env.example +++ b/services/job_runner/.env.example @@ -5 +5 @@ -DATASETS_BLOCKLIST="" +# DATASETS_BLOCKLIST="" @@ -17 +17 @@ DATASETS_BLOCKLIST="" -# MAX_JOBS_PER_DATASET = 2 +# MAX_JOBS_PER_DATASET = 1 @@ -38 +38 @@ DATASETS_BLOCKLIST="" -# MONGO_URL="mongodb://localhost:27018" +# MONGO_URL="mongodb://localhost:27017" diff --git a/services/job_runner/Dockerfile b/services/job_runner/Dockerfile new file mode 100644 index 00000000..7dc85f22 --- /dev/null +++ b/services/job_runner/Dockerfile @@ -0,0 +1,45 @@ +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 ./libs/ +COPY services ./services/ +COPY tools ./tools/ +COPY vendors ./vendors/ +WORKDIR /src/services/job_runner/ +RUN poetry install + +ENTRYPOINT ["make"] +CMD ["run"] diff --git a/services/job_runner/Makefile b/services/job_runner/Makefile index b6434ba3..17aa5217 100644 --- a/services/job_runner/Makefile +++ b/services/job_runner/Makefile @@ -2,0 +3,4 @@ include ../../tools/Common.mk +.PHONY: run +run: + poetry run python src/job_runner/main.py + @@ -5 +9 @@ datasets-worker: - WORKER_QUEUE=dataset poetry run python src/job_runner/main.py + WORKER_QUEUE=datasets poetry run python src/job_runner/main.py diff --git a/services/job_runner/README.md b/services/job_runner/README.md index 7400cfa9..27df3dd3 100644 --- a/services/job_runner/README.md +++ b/services/job_runner/README.md @@ -37 +37 @@ Set environment variables to configure the following aspects: -- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27018"`. +- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27017"`. diff --git a/services/job_runner/tests/_utils.py b/services/job_runner/tests/_utils.py index 16de8d39..e8caba44 100644 --- a/services/job_runner/tests/_utils.py +++ b/services/job_runner/tests/_utils.py @@ -7 +7 @@ DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache_test" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27017"
14d2d0cf40db68434afc7f9cb9f22d43f649999c
Sylvain Lesage
2022-04-29T18:34:21
split the code and move to a monorepo (#210)
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 9fb202db..70460f1c 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -11,0 +12,44 @@ jobs: + working-directory: + [services/api_service, libs/libcache, libs/libqueue, libs/libutils] + defaults: + run: + shell: bash + working-directory: ${{ matrix.working-directory }} + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v2 + - name: Use Python + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - name: Use Poetry + uses: abatilo/[email protected] + with: + poetry-version: ${{ matrix.poetry-version }} + - name: Install dependencies + run: poetry install + - name: Run black + run: poetry run black --check tests src + - name: Run isort + run: poetry run isort --check-only tests src + - name: Run flake8 + run: poetry run flake8 tests src + - name: Run mypy + run: poetry run mypy tests src + - name: Run bandit + run: poetry run bandit -r src + - name: Run safety + run: poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 -i 46499 + # ^^ safety exceptions: pillow, numpy + code-quality-job-runner: + strategy: + fail-fast: false + matrix: + python-version: [3.9.6] + poetry-version: [1.1.7] + os: [ubuntu-latest] + working-directory: [services/job_runner] + defaults: + run: + shell: bash + working-directory: ${{ matrix.working-directory }} diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index 01c55781..6c913a11 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -8,0 +9 @@ jobs: + mongo-port: [27018] @@ -11,0 +13,44 @@ jobs: + working-directory: + [services/api_service, libs/libcache, libs/libqueue, libs/libutils] + defaults: + run: + shell: bash + working-directory: ${{ matrix.working-directory }} + runs-on: ${{ matrix.os }} + steps: + - uses: actions/checkout@v2 + - name: Use Python + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + - name: Use Poetry + uses: abatilo/[email protected] + with: + poetry-version: ${{ matrix.poetry-version }} + - name: Install dependencies + run: poetry install + - name: Create mongoDB Docker container + run: sudo docker run -d -p ${{ matrix.mongo-port }}:27017 mongo:latest + - name: Run unit tests + env: + MONGO_CACHE_DATABASE: datasets_preview_cache_test + MONGO_QUEUE_DATABASE: datasets_preview_queue_test + MONGO_URL: mongodb://localhost:${{ matrix.mongo-port }} + run: poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + - uses: codecov/codecov-action@v2 + with: + token: ${{ secrets.CODECOV_TOKEN }} + files: ./coverage.xml + unit-tests-job-runner: + strategy: + fail-fast: false + matrix: + mongo-port: [27018] + python-version: [3.9.6] + poetry-version: [1.1.7] + os: [ubuntu-latest] + working-directory: [services/job_runner] + defaults: + run: + shell: bash + working-directory: ${{ matrix.working-directory }} @@ -42 +87 @@ jobs: - run: sudo docker run -d -p 27018:27017 mongo:latest + run: sudo docker run -d -p ${{ matrix.mongo-port }}:27017 mongo:latest @@ -45 +89,0 @@ jobs: - ROWS_MIN_NUMBER: 2 @@ -48 +92 @@ jobs: - MONGO_QUEUE_DATABASE: datasets_preview_queue_test + MONGO_URL: mongodb://localhost:${{ matrix.mongo-port }} diff --git a/.gitignore b/.gitignore index 13ae1317..e220632c 100644 --- a/.gitignore +++ b/.gitignore @@ -9 +8,0 @@ -.python-version @@ -13,2 +11,0 @@ -.vscode/ -poetry.toml diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace new file mode 100644 index 00000000..f8f1e4eb --- /dev/null +++ b/.vscode/monorepo.code-workspace @@ -0,0 +1,43 @@ +{ + "folders": [ + { + "name": "ROOT", + "path": ".." + }, + { + "name": "libs/libcache", + "path": "../libs/libcache" + }, + { + "name": "libs/libqueue", + "path": "../libs/libqueue" + }, + { + "name": "libs/libutils", + "path": "../libs/libutils" + }, + { + "name": "services/api_service", + "path": "../services/api_service" + }, + { + "name": "services/job_runner", + "path": "../services/job_runner" + } + ], + "settings": { + "files.exclude": { + "libs": true, + "services": true + }, + "python.formatting.provider": "black", + "editor.formatOnPaste": false, + "editor.formatOnSave": true, + "python.linting.enabled": true, + "python.linting.mypyEnabled": true, + "python.linting.flake8Enabled": true + }, + "extensions": { + "recommendations": ["ms-python.python"] + } +} diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 00000000..4dbad413 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,79 @@ +# Contributing guide + +The repository is structured as a monorepo, with Python applications in [services/](./services/) and Python libraries in [libs/](./libs/). + +## Install + +To start working on the project: + +```bash +git clone [email protected]:huggingface/datasets-preview-backend.git +cd datasets-preview-backend +``` + +then install: + +- [libs/libcache](./libs/libcache/INSTALL.md) +- [libs/libqueue](./libs/libcache/INSTALL.md) +- [libs/libutils](./libs/libutils/INSTALL.md) +- [services/api_service](./services/api_service/INSTALL.md) +- [services/job_runner](./services/job_runner/INSTALL.md) + +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. + +## 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 +``` + +## Poetry + +### Hack: reference through the root + +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`: + +```toml +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/job_runner](./services/job_runner) takes a lot of time. + +In case you wonder, the `poetry.lock` files must be versioned. + +## Versions + +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 create a git tag that we increment accordingly to the change (major/minor/bugfix), for example: + +``` +git tag 0.20.2 +git push --tags +``` + +Then we create a release at https://github.com/huggingface/datasets-preview-backend/releases/new, choosing a tag, then using the button "+ Auto-generate release notes". + +## Pull requests + +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. diff --git a/INSTALL.md b/INSTALL.md index 97cdaf02..afbfa5bf 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -1 +1 @@ -# INSTALL +# Install guide @@ -3 +3 @@ -datasets-preview-backend is installed on a virtual machine (ec2-54-158-211-3.compute-1.amazonaws.com). +We assume a machine with Ubuntu. @@ -5,30 +5 @@ datasets-preview-backend is installed on a virtual machine (ec2-54-158-211-3.com -## Manage - -Use [pm2](https://pm2.keymetrics.io/docs/usage/quick-start/#cheatsheet) to manage the service. - -```bash -pm2 list -pm2 logs -``` - -## Upgrade - -To deploy a new version of datasets-preview-backend, first pause the monitor at https://betteruptime.com/team/14149/monitors/389098. - -Then update the code - -``` -cd /home/hf/datasets-preview-backend/ -git fetch --tags -git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-preview-backend/releases/latest) -``` - -If the Python version has been increased to 3.9.6, for example, [run](https://stackoverflow.com/a/65589331/7351594): - -``` -pyenv install 3.9.6 -pyenv local 3.9.6 -poetry env use python3.9 -``` - -Install packages +We need to prepare space on the disk for the assets, for example at `/data/assets`: @@ -37 +8,3 @@ Install packages -make install +sudo mkdir -p /data/assets +sudo chown -R hf:www-data /data +sudo chmod -R 755 /data @@ -40,12 +13 @@ make install -Check is new environment variables are available and edit the environment variables in `.env`: - -``` -diff .env.example .env -vi .env -``` - -Apply the database migrations (see [src/datasets_preview_backend/io/migrations/README.md](./src/datasets_preview_backend/io/migrations/README.md)) if any - -``` -# see https://github.com/huggingface/datasets-preview-backend/blob/main/src/datasets_preview_backend/io/migrations/README.md -``` +We also need to have a mongo server: @@ -53 +15,2 @@ Apply the database migrations (see [src/datasets_preview_backend/io/migrations/R -Check that all the tests are passing +- 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: @@ -55,3 +18,3 @@ Check that all the tests are passing -``` -make test -``` + ```bash + docker run -p 27018:27017 --name datasets-preview-backend-mongo -d --restart always mongo:latest + ``` @@ -59 +22 @@ make test -Restart +Install and deploy the API server with [services/api_service/INSTALL.md](./services/api_service/INSTALL.md) and the workers with [services/job_runner/INSTALL.md](./services/job_runner/INSTALL.md). @@ -61,3 +24 @@ Restart -``` -pm2 restart all -``` +## Upgrade @@ -65 +26 @@ pm2 restart all -Check if the app is accessible at https://datasets-preview.huggingface.tech/healthcheck. +See the instructions in [services/api_service/INSTALL.md](./services/api_service/INSTALL.md#upgrade) and [services/job_runner/INSTALL.md](./services/job_runner/INSTALL.md#upgrade). Also migrate the databases if needed (see the [libcache migrations README](./libs/libcache/migrations/README.md)). @@ -67 +28 @@ Check if the app is accessible at https://datasets-preview.huggingface.tech/heal -Finally un-pause the monitor at https://betteruptime.com/team/14149/monitors/389098. +## Production @@ -69 +30 @@ Finally un-pause the monitor at https://betteruptime.com/team/14149/monitors/389 -## Machine +datasets-preview-backend is installed on a t2.2xlarge [EC2 virtual machine](https://us-east-1.console.aws.amazon.com/ec2/v2/home?region=us-east-1#InstanceDetails:instanceId=i-0b19b8deb4301ad4a) (under the "JULIEN CHAUMOND" account). @@ -72 +33,3 @@ Finally un-pause the monitor at https://betteruptime.com/team/14149/monitors/389 -ssh [email protected] +ssh [email protected] +# or using https://github.com/huggingface/conf/blob/master/ssh-config-hf-aws +ssh aws/datasets-preview-backend/1 @@ -74 +37 @@ ssh [email protected] -/: 200 GB +/: 500 GB @@ -76,2 +39,2 @@ ssh [email protected] -ipv4: 172.30.4.71 -ipv4 (public): 54.158.211.3 +public ipv4: 54.209.89.185 +private ipv4: 172.30.4.71 @@ -81 +44 @@ domain name: datasets-preview.huggingface.tech -Grafana: +Grafana (TODO: no data at the moment): @@ -89,147 +51,0 @@ BetterUptime: - -## Install - -Install packages, logged as `hf`: - -```bash -sudo apt install python-is-python3 make nginx libicu-dev ffmpeg libavcodec-extra -``` - -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 docker (see https://docs.docker.com/engine/install/ubuntu/#install-using-the-repository and https://docs.docker.com/engine/install/linux-postinstall/). - -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-preview.huggingface.tech; - - 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/assets /data/nginx/cache -sudo chmod -R a+x /data/assets /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 -``` - -Launch a docker container with mongo: - -```bash -docker run -p 27018:27017 --name datasets-preview-backend-mongo -d --restart always mongo:latest -``` - -Install datasets-preview-backend: - -```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-preview-backend.git -cd datasets-preview-backend -make install -``` - -Copy and edit the environment variables file: - -```bash -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. - -Launch the app with pm2: - -```bash -pm2 start --name app make -- -C /home/hf/datasets-preview-backend/ run -``` - -Check if the app is accessible at https://datasets-preview.huggingface.tech/healthcheck. - -Warm the cache with: - -```bash -pm2 start --no-autorestart --name warm make -- -C /home/hf/datasets-preview-backend/ warm -``` - -Setup workers (run again to create another worker, and so on): - -```bash -WORKER_QUEUE=datasets pm2 start --name worker-datasets make -- -C /home/hf/datasets-preview-backend/ worker -WORKER_QUEUE=splits pm2 start --name worker-splits make -- -C /home/hf/datasets-preview-backend/ worker -``` - -Finally, ensure that pm2 will restart on reboot (see https://pm2.keymetrics.io/docs/usage/startup/): - -```bash -pm2 startup -# and follow the instructions -``` diff --git a/Makefile b/Makefile index 41ee6857..f54175ab 100644 --- a/Makefile +++ b/Makefile @@ -4 +4,2 @@ install: - poetry install + $(MAKE) -C services/job_runner/ install + $(MAKE) -C services/api_service/ install @@ -5,0 +7,7 @@ install: +.PHONY: lock +lock: + $(MAKE) -C libs/libutils/ lock + $(MAKE) -C libs/libqueue/ lock + $(MAKE) -C libs/libcache/ lock + $(MAKE) -C services/job_runner/ lock + $(MAKE) -C services/api_service/ lock @@ -7,3 +15,3 @@ install: -.PHONY: run -run: - poetry run python src/datasets_preview_backend/main.py +.PHONY: api +api: + $(MAKE) -C services/api_service/ run @@ -11,3 +19,3 @@ run: -.PHONY: watch -watch: - poetry run watchmedo auto-restart -d src/datasets_preview_backend -p "*.py" -R python src/datasets_preview_backend/main.py +.PHONY: worker +worker: + $(MAKE) -C services/job_runner/ run @@ -17 +25,5 @@ test: - ROWS_MIN_NUMBER=2 ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests + $(MAKE) -C services/job_runner/ test + $(MAKE) -C services/api_service/ test + $(MAKE) -C libs/libcache/ test + $(MAKE) -C libs/libqueue/ test + $(MAKE) -C libs/libutils/ test @@ -21 +33,5 @@ coverage: - ROWS_MIN_NUMBER=2 ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + $(MAKE) -C services/job_runner/ coverage + $(MAKE) -C services/api_service/ coverage + $(MAKE) -C libs/libcache/ coverage + $(MAKE) -C libs/libqueue/ coverage + $(MAKE) -C libs/libutils/ coverage @@ -26,7 +42,5 @@ quality: - poetry run black --check tests src - poetry run isort --check-only tests src - poetry run flake8 tests src - poetry run mypy tests src - poetry run bandit -r src - poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 -i 46499 -# ^^ safety exceptions: pillow, numpy + $(MAKE) -C services/job_runner/ quality + $(MAKE) -C services/api_service/ quality + $(MAKE) -C libs/libcache/ quality + $(MAKE) -C libs/libqueue/ quality + $(MAKE) -C libs/libutils/ quality @@ -37,34 +51,5 @@ style: - poetry run black tests src - poetry run isort tests src - -.PHONY: warm -warm: - poetry run python src/datasets_preview_backend/warm.py - -.PHONY: worker -worker: - poetry run python src/datasets_preview_backend/worker.py - -.PHONY: force-refresh-cache -force-refresh-cache: - poetry run python src/datasets_preview_backend/force_refresh_cache.py - -.PHONY: cancel-started-jobs -cancel-started-jobs: - poetry run python src/datasets_preview_backend/cancel_started_jobs.py - -.PHONY: cancel-waiting-jobs -cancel-waiting-jobs: - poetry run python src/datasets_preview_backend/cancel_waiting_jobs.py - -.PHONY: clean-queues -clean-queues: - poetry run python src/datasets_preview_backend/clean_queues.py - -.PHONY: clean-cache -clean-cache: - poetry run python src/datasets_preview_backend/clean_cache.py -# TODO: remove the assets too - -.PHONY: clean -clean: clean-queues clean-cache + $(MAKE) -C services/job_runner/ style + $(MAKE) -C services/api_service/ style + $(MAKE) -C libs/libcache/ style + $(MAKE) -C libs/libqueue/ style + $(MAKE) -C libs/libutils/ style diff --git a/README.md b/README.md index 23593988..bb2ad069 100644 --- a/README.md +++ b/README.md @@ -3 +3 @@ -> API to extract rows of 🤗 datasets +> API to get the first rows of the Hugging Face Hub datasets @@ -5,6 +5 @@ -## Requirements - -- Python 3.8+ -- Poetry 1.1.7+ -- make -- libicu-dev +Caveat: only the [streamable datasets](https://huggingface.co/docs/datasets/stream) and the small datasets (less than 100MB) are supported at the moment. @@ -14,593 +9 @@ -Install with: - -```bash -make install -``` - -## Run - -Launch with: - -```bash -make run -``` - -Set environment variables to configure the following aspects: - -- `APP_HOSTNAME`: the hostname used by the app. Defaults to `"localhost"`. -- `APP_PORT`: the port used by the app. Defaults to `8000`. -- `ASSETS_DIRECTORY`: directory where the asset files are stored. Defaults to empty, in which case the assets are located in the `datasets_preview_backend_assets` subdirectory inside the OS default cache directory. -- `DATASETS_ENABLE_PRIVATE`: enable private datasets. Defaults to `False`. -- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `master`. -- `LOG_LEVEL`: log level, among `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. Defaults to `INFO`. -- `MAX_AGE_LONG_SECONDS`: number of seconds to set in the `max-age` header on data endpoints. Defaults to `120` (2 minutes). -- `MAX_AGE_SHORT_SECONDS`: number of seconds to set in the `max-age` header on technical endpoints. Defaults to `10` (10 seconds). -- `MONGO_CACHE_DATABASE`: the name of the database used for storing the cache. Defaults to `"datasets_preview_cache"`. -- `MONGO_QUEUE_DATABASE`: the name of the database used for storing the queue. Defaults to `"datasets_preview_queue"`. -- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27018"`. -- `WEB_CONCURRENCY`: the number of workers. For now, it's ignored and hardcoded to 1 because the cache is not shared yet. Defaults to `2`. - -For example: - -```bash -APP_PORT=80 WEB_CONCURRENCY=4 make run -``` - -To reload the application on file changes while developing, run: - -```bash -make watch -``` - -To launch a worker, which will take jobs from the queue: - -```bash -MAX_LOAD_PCT=50 MAX_MEMORY_PCT=60 WORKER_SLEEP_SECONDS=5 make worker -``` - -Every `WORKER_SLEEP_SECONDS` (defaults to 5 seconds) when idle, the worker will check if resources are available, and update the cache entry for a dataset, if it could get a job from the queue. Then loop to start again. The resources are considered available if all the conditions are met: - -- the load percentage (the max of the 1m/5m/15m load divided by the number of cpus \*100) is below `MAX_LOAD_PCT` (defaults to 50%) -- the memory (RAM + SWAP) on the machine is below `MAX_MEMORY_PCT` (defaults to 60%) -- the number of started jobs for the same dataset is under `MAX_JOBS_PER_DATASET` - -Also specify `HF_TOKEN` with an App Access Token (ask moonlanding administrators to get one, only the `read` role is required) to allow the worker to download gated models from the hub. Defaults to empty. - -Also specify `MAX_SIZE_FALLBACK` with the maximum size in bytes of the dataset to fallback in normal mode if streaming fails. Note that it requires to have the size in the info metadata. Set to `0` to disable the fallback. Defaults to `100_000_000`. - -`ROWS_MIN_NUMBER` is the min number (defaults to `10`) and `ROWS_MAX_NUMBER` the max number (defaults to `100`) of rows fetched by the worker for the split, and provided in the /rows endpoint response. `ROWS_MAX_BYTES` is the max size of the /rows endpoint response in bytes. Defaults to `1_000_000` (1 MB). - -The `WORKER_QUEUE` variable specifies which jobs queue the worker will pull jobs from. It can be equal to `datasets` (default) or `splits`. The `datasets` jobs should be a lot faster than the `splits` ones, so that we should need a lot more workers for `splits` than for `datasets`. - -To warm the cache, ie. add all the missing Hugging Face datasets to the queue: - -```bash -make warm -``` - -To empty the databases: - -```bash -make clean -``` - -or individually: - -```bash -make clean-cache -make clean-queues # delete all the jobs -``` - -See also: - -```bash -make cancel-started-jobs -make cancel-waiting-jobs -``` - -## Endpoints - -### /healthcheck - -> Ensure the app is running - -Example: https://datasets-preview.huggingface.tech/healthcheck - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: text content `ok` - -### /cache - -> Give statistics about the content of the cache - -Example: https://datasets-preview.huggingface.tech/cache - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which gives statistics about the datasets in the cache, with the following structure: - -```json -{ - "datasets": { "empty": 0, "error": 0, "stalled": 0, "valid": 1 }, - "splits": { "empty": 1, "error": 1, "stalled": 0, "valid": 0 }, - "created_at": "2022-01-20T14:40:50Z" -} -``` - -Beware: a "dataset" is considered valid if it has fetched correctly the configs and splits. The splits themselves can have errors (ie: the rows or columns might have errors) - -### /cache-reports - -> Give detailed reports on the content of the cache - -Example: https://datasets-preview.huggingface.tech/cache-reports - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which the dataset cache reports, with the following structure: - -```json -{ - "datasets": { - "empty": [], - "error": [], - "stalled": [], - "valid": [{ "dataset": "sent_comp", "status": "VALID", "error": null }] - }, - "splits": { - "empty": [ - { - "dataset": "sent_comp", - "config": "default", - "split": "train", - "status": "EMPTY", - "error": null - } - ], - "error": [ - { - "dataset": "sent_comp", - "config": "default", - "split": "validation", - "status": "error", - "error": { - "status_code": 400, - "exception": "Status400Error", - "message": "Cannot get the first rows for the split.", - "cause_exception": "FileNotFoundError", - "cause_message": "[Errno 2] No such file or directory: 'https://github.com/google-research-datasets/sentence-compression/raw/master/data/comp-data.eval.json.gz'", - "cause_traceback": [ - "Traceback (most recent call last):\n", - " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 61, in get_rows\n rows = extract_rows(dataset_name, config_name, split_name, num_rows, hf_token)\n", - " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 32, in decorator\n return func(*args, **kwargs)\n", - " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 55, in extract_rows\n return list(iterable_dataset.take(num_rows))\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 341, in __iter__\n for key, example in self._iter():\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 338, in _iter\n yield from ex_iterable\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 273, in __iter__\n yield from islice(self.ex_iterable, self.n)\n", - " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 78, in __iter__\n for key, example in self.generate_examples_fn(**self.kwargs):\n", - " File \"/home/slesage/.cache/huggingface/modules/datasets_modules/datasets/sent_comp/512501fef5db888ec620cb9e4943420ea7c7c244c60de9222fb50bca1232f4b5/sent_comp.py\", line 136, in _generate_examples\n with gzip.open(filepath, mode=\"rt\", encoding=\"utf-8\") as f:\n", - " File \"/home/slesage/.pyenv/versions/3.9.6/lib/python3.9/gzip.py\", line 58, in open\n binary_file = GzipFile(filename, gz_mode, compresslevel)\n", - " File \"/home/slesage/.pyenv/versions/3.9.6/lib/python3.9/gzip.py\", line 173, in __init__\n fileobj = self.myfileobj = builtins.open(filename, mode or 'rb')\n", - "FileNotFoundError: [Errno 2] No such file or directory: 'https://github.com/google-research-datasets/sentence-compression/raw/master/data/comp-data.eval.json.gz'\n" - ] - } - } - ], - "stalled": [], - "valid": [] - }, - "created_at": "2022-01-20T14:40:27Z" -} -``` - -Beware: a "dataset" is considered valid if it has fetched correctly the configs and splits. The splits themselves can have errors (ie: the rows or columns might have errors) - -### /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 stalled cache entries are considered valid. - -Example: https://datasets-preview.huggingface.tech/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 stalled cache entries are considered valid. - -Example: https://datasets-preview.huggingface.tech/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 -} -``` - -### /hf-datasets-count-by-cache-status - -> Give statistics about the datasets of the hub - -Example: https://datasets-preview.huggingface.tech/hf-datasets-count-by-cache-status - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which gives statistics about the status of the public datasets of the Hub, split by canonical or community, with the following structure: - -```json -{ - "canonical": { - "valid": 0, - "error": 0, - "missing": 1 - }, - "community": { - "valid": 0, - "error": 0, - "missing": 1 - }, - "created_at": "2022-01-20T13:52:05Z" -} -``` - -The meaning is the following: - -- "valid": the list of splits and the 100 first rows of every split are available (maybe stalled) -- "error": the list of splits could not be fetched, or the rows could not be fetched for some splits -- "missing": the list of splits is missing, or the rows are missing for some splits - -### /queue - -> Give statistics about the content of the queue - -Example: https://datasets-preview.huggingface.tech/queue - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which gives statistics about the queue, with the following structure: - -```json -{ - "datasets": { - "waiting": 0, - "started": 0, - "success": 1, - "error": 0, - "cancelled": 0 - }, - "splits": { - "waiting": 0, - "started": 0, - "success": 0, - "error": 0, - "cancelled": 34 - }, - "created_at": "2022-01-20T13:52:05Z" -} -``` - -### /queue-dump - -> Give the queue entries, classed by status - -Example: https://datasets-preview.huggingface.tech/queue-dump - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which the queue content, by status, with the following structure: - -```json -{ - "datasets": { - "waiting": [], - "started": [], - "success": [ - { - "dataset_name": "glue", - "status": "SUCCESS", - "created_at": "2022-01-20T13:48:06.705000", - "started_at": "2022-01-20T13:48:21.615000", - "finished_at": "2022-01-20T13:48:27.898000" - } - ], - "error": [], - "cancelled": [] - }, - "splits": { - "waiting": [], - "started": [], - "success": [], - "error": [], - "cancelled": [ - { - "dataset_name": "glue", - "config_name": "cola", - "split_name": "test", - "status": "CANCELLED", - "created_at": "2022-01-20T13:48:27.846000", - "started_at": null, - "finished_at": "2022-01-20T13:51:51.411000" - } - ] - }, - "created_at": "2022-01-20T13:59:03Z" -} -``` - -### /queue-dump-waiting-started - -> Give the queue entries, classed by status, only for "waiting" and "started" statuses - -Example: https://datasets-preview.huggingface.tech/queue-dump-waiting-started - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content which the queue content, by status, with the following structure: - -```json -{ - "datasets": { - "waiting": [], - "started": [] - }, - "splits": { - "waiting": [], - "started": [] - }, - "created_at": "2022-01-20T13:59:03Z" -} -``` - -### /webhook - -> Adds, updates or removes a cache entry - -Example: https://datasets-preview.huggingface.tech/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 ${MODELS[@]}; do curl -X POST https://datasets-preview.huggingface.tech/webhook -H 'Content-Type: application/json' -d '{"update": "datasets/'$model'"}'; done; -``` - -### /refresh-split - -> Refresh the cache of rows and columns of a split - -Example: https://datasets-preview.huggingface.tech/refresh-split - -Method: `POST` - -Body: - -```json -{ - "dataset": "glue", - "config": "ax", - "split": "test" -} -``` - -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 - -### /hf_datasets - -> Lists the HuggingFace [datasets](https://huggingface.co/docs/datasets/loading_datasets.html#selecting-a-configuration): canonical and community - -Example: https://datasets-preview.huggingface.tech/hf_datasets - -Method: `GET` - -Parameters: none - -Responses: - -- `200`: JSON content with the following structure: - - ```json - { - "datasets": [ - { - "id": "acronym_identification", - "tags": [ - "annotations_creators:expert-generated", - "language_creators:found", - "languages:en", - "licenses:mit", - "multilinguality:monolingual", - "size_categories:10K<n<100K", - "source_datasets:original", - "task_categories:structure-prediction", - "task_ids:structure-prediction-other-acronym-identification" - ], - "citation": "@inproceedings{veyseh-et-al-2020-what,\n title={{What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation}},\n author={Amir Pouran Ben Veyseh and Franck Dernoncourt and Quan Hung Tran and Thien Huu Nguyen},\n year={2020},\n booktitle={Proceedings of COLING},\n link={https://arxiv.org/pdf/2010.14678v1.pdf}\n}", - "description": "Acronym identification training and development sets for the acronym identification task at SDU@AAAI-21.", - "paperswithcode_id": "acronym-identification", - "downloads": 5174 - }, - { - "id": "aeslc", - "tags": ["languages:en"], - "citation": "@misc{zhang2019email,\n title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},\n author={Rui Zhang and Joel Tetreault},\n year={2019},\n eprint={1906.03497},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", - "description": "A collection of email messages of employees in the Enron Corporation.\n\nThere are two features:\n - email_body: email body text.\n - subject_line: email subject text.", - "paperswithcode_id": "aeslc", - "downloads": 3053 - }, - { - "id": "afrikaans_ner_corpus", - "tags": [ - "annotations_creators:expert-generated", - "language_creators:expert-generated", - "languages:af", - "licenses:other-Creative Commons Attribution 2.5 South Africa License", - "multilinguality:monolingual", - "size_categories:1K<n<10K", - "source_datasets:original", - "task_categories:structure-prediction", - "task_ids:named-entity-recognition" - ], - "citation": "@inproceedings{afrikaans_ner_corpus,\n author = {\tGerhard van Huyssteen and\n Martin Puttkammer and\n E.B. Trollip and\n J.C. Liversage and\n Roald Eiselen},\n title = {NCHLT Afrikaans Named Entity Annotated Corpus},\n booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Conference, Portorož, Slovenia.},\n year = {2016},\n url = {https://repo.sadilar.org/handle/20.500.12185/299},\n}", - "description": "Named entity annotated data from the NCHLT Text Resource Development: Phase II Project, annotated with PERSON, LOCATION, ORGANISATION and MISCELLANEOUS tags.", - "paperswithcode_id": null, - "downloads": 229 - } - ] - } - ``` - -- `500`: application error - -### /splits - -> Lists the [splits](https://huggingface.co/docs/datasets/splits.html) names for a dataset - -Example: https://datasets-preview.huggingface.tech/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-preview.huggingface.tech/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: +To install, deploy, and manage the application in production, see [INSTALL.md](./INSTALL.md) @@ -608 +11 @@ 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. +## Dev setup @@ -610,79 +13 @@ Responses: - ```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"] - } - ] - } - ``` +To develop, see [CONTRIBUTING.md](./CONTRIBUTING.md) @@ -690,3 +15 @@ Responses: -- `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 +## Architecture @@ -694 +17 @@ Responses: -### /assets +The application is distributed in several components. @@ -696 +19 @@ Responses: -> Return an asset +([api_service](./services/api_service)) is an API web server that exposes [endpoints](./services/api_service/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. @@ -698 +21 @@ Responses: -Example: https://datasets-preview.huggingface.tech/assets/food101/--/default/train/0/image/2885220.jpg +The precomputed responses are stored in a Mongo database called "cache" (see [libcache](./libs/libcache)). They are computed by workers ([job_runner](./services/job_runner)) 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". @@ -700 +23 @@ Example: https://datasets-preview.huggingface.tech/assets/food101/--/default/tra -Method: `GET` +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. @@ -702 +25 @@ Method: `GET` -Path parameters: +Note that two job queues exist: @@ -704 +27,2 @@ Path parameters: -`/assets/:dataset/--/:config/:split/:row_idx/:column/:filename` +- `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 @@ -706,6 +30 @@ Path parameters: -- `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 +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. @@ -713 +32 @@ Path parameters: -Responses: +Hence, the working application has: @@ -715,4 +34,4 @@ 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 +- one instance of the API service which exposes a port +- M instances of the `datasets` worker and N instances of the `splits` worker (N should generally be higher than M) +- a Mongo server with two databases: "cache" and "queue" +- a shared directory for the assets diff --git a/deprecated/Makefile b/deprecated/Makefile new file mode 100644 index 00000000..06b7ef5b --- /dev/null +++ b/deprecated/Makefile @@ -0,0 +1,32 @@ + +.PHONY: warm +warm: + poetry run python src/datasets_preview_backend/warm.py + +.PHONY: worker +worker: + poetry run python src/datasets_preview_backend/worker.py + +.PHONY: force-refresh-cache +force-refresh-cache: + poetry run python src/datasets_preview_backend/force_refresh_cache.py + +.PHONY: cancel-started-jobs +cancel-started-jobs: + poetry run python src/datasets_preview_backend/cancel_started_jobs.py + +.PHONY: cancel-waiting-jobs +cancel-waiting-jobs: + poetry run python src/datasets_preview_backend/cancel_waiting_jobs.py + +.PHONY: clean-queues +clean-queues: + poetry run python src/datasets_preview_backend/clean_queues.py + +.PHONY: clean-cache +clean-cache: + poetry run python src/datasets_preview_backend/clean_cache.py +# TODO: remove the assets too + +.PHONY: clean +clean: clean-queues clean-cache diff --git a/deprecated/README.md b/deprecated/README.md new file mode 100644 index 00000000..12e6b5fc --- /dev/null +++ b/deprecated/README.md @@ -0,0 +1,39 @@ +TODO: add the scripts + +To warm the cache, ie. add all the missing Hugging Face datasets to the queue: + +```bash +make warm +``` + +Warm the cache with: + +```bash +pm2 start --no-autorestart --name warm make -- -C /home/hf/datasets-preview-backend/ warm +``` + +To empty the databases: + +```bash +make clean +``` + +or individually: + +```bash +make clean-cache +make clean-queues # delete all the jobs +``` + +See also: + +```bash +make cancel-started-jobs +make cancel-waiting-jobs +``` + +--- + +how to monitor the job runners and the queue? + +grafana doesn't have any data (see links in INSTALL.md) diff --git a/src/datasets_preview_backend/cancel_started_jobs.py b/deprecated/cancel_started_jobs.py similarity index 78% rename from src/datasets_preview_backend/cancel_started_jobs.py rename to deprecated/cancel_started_jobs.py index 897261a7..435657a8 100644 --- a/src/datasets_preview_backend/cancel_started_jobs.py +++ b/deprecated/cancel_started_jobs.py @@ -3,2 +3,2 @@ import logging -from datasets_preview_backend.io.logger import init_logger -from datasets_preview_backend.io.queue import ( +from libutils.logger import init_logger +from libqueue.queue import ( diff --git a/src/datasets_preview_backend/cancel_waiting_jobs.py b/deprecated/cancel_waiting_jobs.py similarity index 78% rename from src/datasets_preview_backend/cancel_waiting_jobs.py rename to deprecated/cancel_waiting_jobs.py index 77ad0e16..cd59c8ba 100644 --- a/src/datasets_preview_backend/cancel_waiting_jobs.py +++ b/deprecated/cancel_waiting_jobs.py @@ -3,2 +3,2 @@ import logging -from datasets_preview_backend.io.logger import init_logger -from datasets_preview_backend.io.queue import ( +from libutils.logger import init_logger +from libqueue.queue import ( diff --git a/src/datasets_preview_backend/clean_cache.py b/deprecated/clean_cache.py similarity index 61% rename from src/datasets_preview_backend/clean_cache.py rename to deprecated/clean_cache.py index 9094873b..d71ba57c 100644 --- a/src/datasets_preview_backend/clean_cache.py +++ b/deprecated/clean_cache.py @@ -3,2 +3,2 @@ import logging -from datasets_preview_backend.io.cache import clean_database, connect_to_cache -from datasets_preview_backend.io.logger import init_logger +from libcache.cache import clean_database, connect_to_cache +from libutils.logger import init_logger diff --git a/src/datasets_preview_backend/clean_queues.py b/deprecated/clean_queues.py similarity index 62% rename from src/datasets_preview_backend/clean_queues.py rename to deprecated/clean_queues.py index 5a235495..50e3270a 100644 --- a/src/datasets_preview_backend/clean_queues.py +++ b/deprecated/clean_queues.py @@ -3,2 +3,2 @@ import logging -from datasets_preview_backend.io.logger import init_logger -from datasets_preview_backend.io.queue import clean_database, connect_to_queue +from libutils.logger import init_logger +from libqueue.queue import clean_database, connect_to_queue diff --git a/src/datasets_preview_backend/force_refresh_cache.py b/deprecated/force_refresh_cache.py similarity index 66% rename from src/datasets_preview_backend/force_refresh_cache.py rename to deprecated/force_refresh_cache.py index 1282f07c..cc1ace38 100644 --- a/src/datasets_preview_backend/force_refresh_cache.py +++ b/deprecated/force_refresh_cache.py @@ -5,4 +5,4 @@ from dotenv import load_dotenv -from datasets_preview_backend.io.cache import connect_to_cache -from datasets_preview_backend.io.logger import init_logger -from datasets_preview_backend.io.queue import add_dataset_job, connect_to_queue -from datasets_preview_backend.models.hf_dataset import get_hf_dataset_names +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 diff --git a/src/datasets_preview_backend/warm.py b/deprecated/warm.py similarity index 85% rename from src/datasets_preview_backend/warm.py rename to deprecated/warm.py index a017c890..a8935a7d 100644 --- a/src/datasets_preview_backend/warm.py +++ b/deprecated/warm.py @@ -5 +5 @@ from dotenv import load_dotenv -from datasets_preview_backend.io.cache import ( +from libcache.cache import ( @@ -10,2 +10,2 @@ from datasets_preview_backend.io.cache import ( -from datasets_preview_backend.io.logger import init_logger -from datasets_preview_backend.io.queue import ( +from libutils.logger import init_logger +from libqueue.queue import ( @@ -16 +16 @@ from datasets_preview_backend.io.queue import ( -from datasets_preview_backend.models.hf_dataset import get_hf_dataset_names +from libmodels.hf_dataset import get_hf_dataset_names diff --git a/.flake8 b/libs/libcache/.flake8 similarity index 100% rename from .flake8 rename to libs/libcache/.flake8 diff --git a/libs/libcache/.python-version b/libs/libcache/.python-version new file mode 100644 index 00000000..1635d0f5 --- /dev/null +++ b/libs/libcache/.python-version @@ -0,0 +1 @@ +3.9.6 diff --git a/libs/libcache/INSTALL.md b/libs/libcache/INSTALL.md new file mode 100644 index 00000000..66f42c28 --- /dev/null +++ b/libs/libcache/INSTALL.md @@ -0,0 +1,20 @@ +# 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/libcache/Makefile b/libs/libcache/Makefile new file mode 100644 index 00000000..a1f9d170 --- /dev/null +++ b/libs/libcache/Makefile @@ -0,0 +1,9 @@ +include ../../tools/Common.mk + +.PHONY: test +test: + MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -x tests + +.PHONY: coverage +coverage: + MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/libs/libcache/README.md b/libs/libcache/README.md new file mode 100644 index 00000000..e0e19f19 --- /dev/null +++ b/libs/libcache/README.md @@ -0,0 +1,3 @@ +# libcache + +A Python library to manage the storage of precomputed API responses in a mongo database (the "cache"). diff --git a/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py b/libs/libcache/migrations/20220406_cache_dbrow_status_and_since.py similarity index 66% rename from src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py rename to libs/libcache/migrations/20220406_cache_dbrow_status_and_since.py index fe6f827f..1f11cbf6 100644 --- a/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py +++ b/libs/libcache/migrations/20220406_cache_dbrow_status_and_since.py @@ -5,2 +5,2 @@ from pymongo import MongoClient -from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_URL -from datasets_preview_backend.io.cache import Status +from libcache.cache import Status +from ._utils import MONGO_CACHE_DATABASE, MONGO_URL diff --git a/src/datasets_preview_backend/io/migrations/20220408_cache_remove_dbrow_dbcolumn.py b/libs/libcache/migrations/20220408_cache_remove_dbrow_dbcolumn.py similarity index 97% rename from src/datasets_preview_backend/io/migrations/20220408_cache_remove_dbrow_dbcolumn.py rename to libs/libcache/migrations/20220408_cache_remove_dbrow_dbcolumn.py index 62625f7e..03ac0f60 100644 --- a/src/datasets_preview_backend/io/migrations/20220408_cache_remove_dbrow_dbcolumn.py +++ b/libs/libcache/migrations/20220408_cache_remove_dbrow_dbcolumn.py @@ -9,2 +9,2 @@ from pymongo import MongoClient -from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_URL -from datasets_preview_backend.io.cache import Status +from libcache.cache import Status +from ._utils import MONGO_CACHE_DATABASE, MONGO_URL diff --git a/src/datasets_preview_backend/io/migrations/README.md b/libs/libcache/migrations/README.md similarity index 70% rename from src/datasets_preview_backend/io/migrations/README.md rename to libs/libcache/migrations/README.md index 7c810ccb..a3fe882b 100644 --- a/src/datasets_preview_backend/io/migrations/README.md +++ b/libs/libcache/migrations/README.md @@ -3 +3 @@ -The cache and the queue are stored in two MongoDB databases. They are defined by the env vars: `MONGO_CACHE_DATABASE` and `MONGO_CACHE_DATABASE`, see the [README](../../../../README.md). +The cache is stored in a MongoDB database. @@ -20 +20,3 @@ To run a script, for example [20220406_cache_dbrow_status_and_since.py](./202204 -poetry run python src/datasets_preview_backend/io/migrations/<YOUR_MIGRATION_FILE>.py +export MONGO_CACHE_DATABASE="datasets_preview_queue_test" +export MONGO_URL="mongodb://localhost:27018" +poetry run python libs/libcache/src/libcache/migrations/<YOUR_MIGRATION_FILE>.py @@ -26 +28,3 @@ Then, validate with -poetry run python src/datasets_preview_backend/io/migrations/validate.py +export MONGO_CACHE_DATABASE="datasets_preview_queue_test" +export MONGO_URL="mongodb://localhost:27018" +poetry run python libs/libcache/src/libcache/migrations/validate.py @@ -33 +37,2 @@ In case of **error**, restore the database, else remove the dump file -mongorestore --drop --uri=mongodb://localhost:27018 --archive=dump.bson +export MONGO_URL="mongodb://localhost:27018" +mongorestore --drop --uri=${MONGO_URL} --archive=dump.bson diff --git a/src/datasets_preview_backend/__init__.py b/libs/libcache/migrations/__init__.py similarity index 100% rename from src/datasets_preview_backend/__init__.py rename to libs/libcache/migrations/__init__.py diff --git a/src/datasets_preview_backend/io/migrations/_utils.py b/libs/libcache/migrations/_utils.py similarity index 80% rename from src/datasets_preview_backend/io/migrations/_utils.py rename to libs/libcache/migrations/_utils.py index 898cc4e2..abb86563 100644 --- a/src/datasets_preview_backend/io/migrations/_utils.py +++ b/libs/libcache/migrations/_utils.py @@ -5,0 +6,10 @@ from pymongo.collection import Collection +import os + +from libutils.utils import get_str_value + +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" + +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) + diff --git a/libs/libcache/migrations/validate.py b/libs/libcache/migrations/validate.py new file mode 100644 index 00000000..7ca99e11 --- /dev/null +++ b/libs/libcache/migrations/validate.py @@ -0,0 +1,6 @@ +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 new file mode 100644 index 00000000..870fcccb --- /dev/null +++ b/libs/libcache/poetry.lock @@ -0,0 +1,1868 @@ +[[package]] +name = "anyio" +version = "3.5.0" +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 (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] +trio = ["trio (>=0.16)"] + +[[package]] +name = "appdirs" +version = "1.4.4" +description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +category = "main" +optional = false +python-versions = "*" + +[[package]] +name = "atomicwrites" +version = "1.4.0" +description = "Atomic file writes." +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[[package]] +name = "attrs" +version = "21.4.0" +description = "Classes Without Boilerplate" +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[package.extras] +dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "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)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"] +tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"] + +[[package]] +name = "azure-core" +version = "1.23.1" +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" + 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a/libs/libcache/pyproject.toml b/libs/libcache/pyproject.toml new file mode 100644 index 00000000..3bf6ea8c --- /dev/null +++ b/libs/libcache/pyproject.toml @@ -0,0 +1,43 @@ +[tool.poetry] +authors = ["Sylvain Lesage <[email protected]>"] +description = "Library for the cache in mongodb" +name = "libcache" +version = "0.1.0" + +[tool.poetry.dependencies] +appdirs = "^1.4.4" +libutils = { path = "../../libs/libutils", develop = true } +mongo-types = "0.15.1" +mongoengine = "^0.23.1" +python = "3.9.6" + +[tool.poetry.dev-dependencies] +bandit = "^1.7.0" +black = "^22.1.0" +flake8 = "^3.9.2" +isort = "^5.9.3" +mypy = "0.812" +poetryup = "^0.3.8" +pytest = "^6.2.5" +pytest-cov = "^2.12.1" +safety = "^1.10.3" + +[build-system] +build-backend = "poetry.core.masonry.api" +requires = ["poetry-core>=1.0.0"] + +[tool.pytest.ini_options] +filterwarnings = ["ignore::DeprecationWarning"] + +[tool.coverage.run] +source = ["libcache"] + +[tool.isort] +profile = "black" + +[tool.black] +line-length = 119 +preview = true + +[tool.mypy] +strict = true diff --git a/src/datasets_preview_backend/io/__init__.py b/libs/libcache/src/libcache/__init__.py similarity index 100% rename from src/datasets_preview_backend/io/__init__.py rename to libs/libcache/src/libcache/__init__.py diff --git a/libs/libcache/src/libcache/asset.py b/libs/libcache/src/libcache/asset.py new file mode 100644 index 00000000..5a732753 --- /dev/null +++ b/libs/libcache/src/libcache/asset.py @@ -0,0 +1,22 @@ +import logging +import os +from typing import Optional + +from appdirs import user_cache_dir # type:ignore + +logger = logging.getLogger(__name__) + +DATASET_SEPARATOR = "--" +ASSET_DIR_MODE = 0o755 + + +def init_assets_dir(assets_directory: Optional[str] = None) -> str: + # set it to the default cache location on the machine, if ASSETS_DIRECTORY is null + if assets_directory is None: + assets_directory = user_cache_dir("datasets_preview_backend_assets") + os.makedirs(assets_directory, exist_ok=True) + return assets_directory + + +def show_assets_dir(assets_directory: Optional[str] = None) -> None: + logger.info(f"Assets directory: {init_assets_dir(assets_directory)}") diff --git a/src/datasets_preview_backend/io/cache.py b/libs/libcache/src/libcache/cache.py similarity index 88% rename from src/datasets_preview_backend/io/cache.py rename to libs/libcache/src/libcache/cache.py index 3db895b1..7132e4db 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/libs/libcache/src/libcache/cache.py @@ -17,0 +18,2 @@ from typing import ( +from libutils.exceptions import Status400Error, Status500Error, StatusError +from libutils.types import Split, SplitFullName @@ -30,12 +31,0 @@ from pymongo.errors import DocumentTooLarge -from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_URL -from datasets_preview_backend.exceptions import ( - Status400Error, - Status500Error, - StatusError, -) -from datasets_preview_backend.models.dataset import ( - SplitFullName, - get_dataset_split_full_names, -) -from datasets_preview_backend.models.split import Split, get_split - @@ -65,2 +55,2 @@ class QuerySetManager(Generic[U]): -def connect_to_cache() -> None: - connect(MONGO_CACHE_DATABASE, alias="cache", host=MONGO_URL) +def connect_to_cache(database, host) -> None: + connect(database, alias="cache", host=host) @@ -266,16 +255,0 @@ def clean_database() -> None: -def refresh_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]: - try: - 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") - return split_full_names - 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 - - @@ -346,39 +319,0 @@ def mark_split_as_stalled(split_full_name: SplitFullName, split_idx: int): -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"split '{split_name}' from dataset '{dataset_name}' in config '{config_name}' is valid, cache updated" - ) - except StatusError as err: - upsert_split_error(dataset_name, config_name, split_name, err) - logger.debug( - f"split '{split_name}' from dataset '{dataset_name}' in config '{config_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"split '{split_name}' from dataset '{dataset_name}' in config '{config_name}' had error, cache updated" - ) - raise - - diff --git a/src/datasets_preview_backend/py.typed b/libs/libcache/src/libcache/py.typed similarity index 100% rename from src/datasets_preview_backend/py.typed rename to libs/libcache/src/libcache/py.typed diff --git a/src/datasets_preview_backend/io/migrations/__init__.py b/libs/libcache/tests/__init__.py similarity index 100% rename from src/datasets_preview_backend/io/migrations/__init__.py rename to libs/libcache/tests/__init__.py diff --git a/libs/libcache/tests/_utils.py b/libs/libcache/tests/_utils.py new file mode 100644 index 00000000..adf68a5c --- /dev/null +++ b/libs/libcache/tests/_utils.py @@ -0,0 +1,9 @@ +import os + +from libutils.utils import get_str_value + +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache_test" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" + +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) diff --git a/tests/io/test_cache.py b/libs/libcache/tests/test_cache.py similarity index 50% rename from tests/io/test_cache.py rename to libs/libcache/tests/test_cache.py index a84ac310..07f91e21 100644 --- a/tests/io/test_cache.py +++ b/libs/libcache/tests/test_cache.py @@ -0,0 +1,2 @@ +from typing import List + @@ -1,0 +4 @@ import pytest +from libutils.types import RowItem, Split, SplitFullName @@ -4,3 +7 @@ from mongoengine import DoesNotExist -from datasets_preview_backend.config import MONGO_CACHE_DATABASE -from datasets_preview_backend.exceptions import Status400Error -from datasets_preview_backend.io.cache import ( +from libcache.cache import ( @@ -12,3 +12,0 @@ from datasets_preview_backend.io.cache import ( - get_splits_response, - refresh_dataset_split_full_names, - refresh_split, @@ -18,2 +16,2 @@ from datasets_preview_backend.io.cache import ( -from datasets_preview_backend.models.dataset import get_dataset_split_full_names -from datasets_preview_backend.models.split import RowItem, Split + +from ._utils import MONGO_CACHE_DATABASE, MONGO_URL @@ -25 +23 @@ def safe_guard() -> None: - raise Exception("Test must be launched on a test mongo database") + raise ValueError("Test must be launched on a test mongo database") @@ -30 +28 @@ def client() -> None: - connect_to_cache() + connect_to_cache(database=MONGO_CACHE_DATABASE, host=MONGO_URL) @@ -55,2 +53,4 @@ def test_acronym_identification() -> None: - dataset_name = "acronym_identification" - split_full_names = get_dataset_split_full_names(dataset_name) + dataset_name = "test_dataset" + split_full_names: List[SplitFullName] = [ + {"dataset_name": dataset_name, "config_name": "test_config", "split_name": "test_split"} + ] @@ -68,43 +67,0 @@ def test_acronym_identification() -> None: -def test_doesnotexist() -> None: - dataset_name = "doesnotexist" - with pytest.raises(Status400Error): - refresh_dataset_split_full_names(dataset_name) - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "error" - - -def test_config_error() -> None: - # see https://github.com/huggingface/datasets-preview-backend/issues/78 - dataset_name = "Check/region_1" - refresh_dataset_split_full_names(dataset_name) - retrieved = DbDataset.objects(dataset_name=dataset_name).get() - assert retrieved.status.value == "valid" - splits_response, error, status_code = 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-preview-backend/issues/89 - dataset_name = "SaulLu/Natural_Questions_HTML" - refresh_dataset_split_full_names(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 - print(rows_response["columns"]) - 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/libs/libqueue/.flake8 b/libs/libqueue/.flake8 new file mode 100644 index 00000000..f7d6157c --- /dev/null +++ b/libs/libqueue/.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/libs/libqueue/.python-version b/libs/libqueue/.python-version new file mode 100644 index 00000000..1635d0f5 --- /dev/null +++ b/libs/libqueue/.python-version @@ -0,0 +1 @@ +3.9.6 diff --git a/libs/libqueue/INSTALL.md b/libs/libqueue/INSTALL.md new file mode 100644 index 00000000..2bdda8a8 --- /dev/null +++ b/libs/libqueue/INSTALL.md @@ -0,0 +1,20 @@ +# 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/libqueue/Makefile b/libs/libqueue/Makefile new file mode 100644 index 00000000..bd9b454e --- /dev/null +++ b/libs/libqueue/Makefile @@ -0,0 +1,9 @@ +include ../../tools/Common.mk + +.PHONY: test +test: + MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests + +.PHONY: coverage +coverage: + MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/libs/libqueue/README.md b/libs/libqueue/README.md new file mode 100644 index 00000000..3a7deef6 --- /dev/null +++ b/libs/libqueue/README.md @@ -0,0 +1,3 @@ +# libqueue + +A Python library to manage the job queues to precompute API responses. The job queues are stored in a mongo database. diff --git a/libs/libqueue/poetry.lock b/libs/libqueue/poetry.lock new file mode 100644 index 00000000..657335ba --- /dev/null +++ b/libs/libqueue/poetry.lock @@ -0,0 +1,1856 @@ +[[package]] +name = "anyio" +version = "3.5.0" +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 (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"] +trio = ["trio (>=0.16)"] + +[[package]] +name = "atomicwrites" +version = "1.4.0" +description = "Atomic file writes." +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" + +[[package]] +name = "attrs" +version = "21.4.0" +description = "Classes Without Boilerplate" +category = "dev" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[package.extras] +dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "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)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "cloudpickle"] +tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"] + +[[package]] +name = "azure-core" +version = "1.23.1" +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 = "1.9.0" +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,<0.4.0" +six = ">=1.12.0" + +[[package]] +name = "azure-storage-blob" +version = "12.11.0" +description = "Microsoft Azure Blob Storage Client Library for Python" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +azure-core = ">=1.15.0,<2.0.0" +cryptography = ">=2.1.4" +msrest = ">=0.6.21" + +[[package]] +name = "bandit" +version = "1.7.4" +description = "Security oriented static analyser for python code." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +colorama = {version = ">=0.3.9", markers = "platform_system == \"Windows\""} +GitPython = ">=1.0.1" +PyYAML = ">=5.3.1" +stevedore = ">=1.20.0" + +[package.extras] +test = ["coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "toml", "beautifulsoup4 (>=4.8.0)", "pylint (==1.9.4)"] +toml = ["toml"] +yaml = ["pyyaml"] + +[[package]] +name = "black" +version = "22.3.0" +description = "The uncompromising code formatter." +category = "dev" +optional = false +python-versions = ">=3.6.2" + +[package.dependencies] +click = ">=8.0.0" +mypy-extensions = ">=0.4.3" +pathspec = ">=0.9.0" +platformdirs = ">=2" +tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} +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 = "certifi" +version = "2021.10.8" +description = "Python package for providing Mozilla's CA Bundle." +category = "main" +optional = false +python-versions = "*" + +[[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 = "*" + +[[package]] +name = "charset-normalizer" +version = "2.0.12" +description = "The Real First Universal Charset Detector. 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a/libs/libqueue/pyproject.toml b/libs/libqueue/pyproject.toml new file mode 100644 index 00000000..57d199b2 --- /dev/null +++ b/libs/libqueue/pyproject.toml @@ -0,0 +1,42 @@ +[tool.poetry] +authors = ["Sylvain Lesage <[email protected]>"] +description = "Library for the jobs queue in mongodb" +name = "libqueue" +version = "0.1.0" + +[tool.poetry.dependencies] +libutils = { path = "../../libs/libutils", develop = true } +mongo-types = "0.15.1" +mongoengine = "^0.23.1" +python = "3.9.6" + +[tool.poetry.dev-dependencies] +bandit = "^1.7.0" +black = "^22.1.0" +flake8 = "^3.9.2" +isort = "^5.9.3" +mypy = "0.812" +poetryup = "^0.3.8" +pytest = "^6.2.5" +pytest-cov = "^2.12.1" +safety = "^1.10.3" + +[build-system] +build-backend = "poetry.core.masonry.api" +requires = ["poetry-core>=1.0.0"] + +[tool.pytest.ini_options] +filterwarnings = ["ignore::DeprecationWarning"] + +[tool.coverage.run] +source = ["libqueue"] + +[tool.isort] +profile = "black" + +[tool.black] +line-length = 119 +preview = true + +[tool.mypy] +strict = true diff --git a/src/datasets_preview_backend/middleware/__init__.py b/libs/libqueue/src/libqueue/__init__.py similarity index 100% rename from src/datasets_preview_backend/middleware/__init__.py rename to libs/libqueue/src/libqueue/__init__.py diff --git a/src/datasets_preview_backend/models/__init__.py b/libs/libqueue/src/libqueue/py.typed similarity index 100% rename from src/datasets_preview_backend/models/__init__.py rename to libs/libqueue/src/libqueue/py.typed diff --git a/src/datasets_preview_backend/io/queue.py b/libs/libqueue/src/libqueue/queue.py similarity index 98% rename from src/datasets_preview_backend/io/queue.py rename to libs/libqueue/src/libqueue/queue.py index ac7ecc25..1c6a5015 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/libs/libqueue/src/libqueue/queue.py @@ -11,2 +10,0 @@ from mongoengine.queryset.queryset import QuerySet -from datasets_preview_backend.config import MONGO_QUEUE_DATABASE, MONGO_URL - @@ -77,2 +75,2 @@ class DumpByStatus(TypedDict, total=False): -def connect_to_queue() -> None: - connect(MONGO_QUEUE_DATABASE, alias="queue", host=MONGO_URL) +def connect_to_queue(database, host) -> None: + connect(database, alias="queue", host=host) diff --git a/src/datasets_preview_backend/routes/__init__.py b/libs/libqueue/tests/__init__.py similarity index 100% rename from src/datasets_preview_backend/routes/__init__.py rename to libs/libqueue/tests/__init__.py diff --git a/libs/libqueue/tests/_utils.py b/libs/libqueue/tests/_utils.py new file mode 100644 index 00000000..bbc675cd --- /dev/null +++ b/libs/libqueue/tests/_utils.py @@ -0,0 +1,9 @@ +import os + +from libutils.utils import get_str_value + +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue_test" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" + +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) diff --git a/tests/io/test_queue.py b/libs/libqueue/tests/test_queue.py similarity index 89% rename from tests/io/test_queue.py rename to libs/libqueue/tests/test_queue.py index 50b1a2e3..d55165d6 100644 --- a/tests/io/test_queue.py +++ b/libs/libqueue/tests/test_queue.py @@ -3,2 +3 @@ import pytest -from datasets_preview_backend.config import MONGO_QUEUE_DATABASE -from datasets_preview_backend.io.queue import ( +from libqueue.queue import ( @@ -15,0 +15,2 @@ from datasets_preview_backend.io.queue import ( +from ._utils import MONGO_QUEUE_DATABASE, MONGO_URL + @@ -20 +21 @@ def safe_guard() -> None: - raise Exception("Test must be launched on a test mongo database") + raise ValueError("Test must be launched on a test mongo database") @@ -25 +26 @@ def client() -> None: - connect_to_queue() + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) diff --git a/libs/libutils/.flake8 b/libs/libutils/.flake8 new file mode 100644 index 00000000..f7d6157c --- /dev/null +++ b/libs/libutils/.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/libs/libutils/.python-version b/libs/libutils/.python-version new file mode 100644 index 00000000..1635d0f5 --- /dev/null +++ b/libs/libutils/.python-version @@ -0,0 +1 @@ +3.9.6 diff --git a/libs/libutils/INSTALL.md b/libs/libutils/INSTALL.md new file mode 100644 index 00000000..42b4573a --- /dev/null +++ b/libs/libutils/INSTALL.md @@ -0,0 +1,20 @@ +# 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/Makefile b/libs/libutils/Makefile new file mode 100644 index 00000000..dae9a811 --- /dev/null +++ b/libs/libutils/Makefile @@ -0,0 +1,9 @@ +include ../../tools/Common.mk + +.PHONY: test +test: + poetry run python -m pytest -x tests + +.PHONY: coverage +coverage: + poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/libs/libutils/README.md b/libs/libutils/README.md new file mode 100644 index 00000000..b1640cb5 --- /dev/null +++ b/libs/libutils/README.md @@ -0,0 +1,3 @@ +# libutils + +A Python library with common code used by the services: utils, logger, exceptions, types. diff --git a/libs/libutils/poetry.lock b/libs/libutils/poetry.lock new file mode 100644 index 00000000..e596a32a --- /dev/null +++ b/libs/libutils/poetry.lock @@ -0,0 +1,1683 @@ +[[package]] +name = "anyio" +version = "3.5.0" +description = "High level compatibility layer for multiple asynchronous event loop 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"^5.9.3" +mypy = "0.812" +poetryup = "^0.3.8" +pytest = "^6.2.5" +pytest-cov = "^2.12.1" +safety = "^1.10.3" + +[build-system] +build-backend = "poetry.core.masonry.api" +requires = ["poetry-core>=1.0.0"] + +[tool.pytest.ini_options] +filterwarnings = ["ignore::DeprecationWarning"] + +[tool.coverage.run] +source = ["libutils"] + +[tool.isort] +profile = "black" + +[tool.black] +line-length = 119 +preview = true + +[tool.mypy] +strict = true diff --git a/libs/libutils/src/libutils/__init__.py b/libs/libutils/src/libutils/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/datasets_preview_backend/exceptions.py b/libs/libutils/src/libutils/exceptions.py similarity index 100% rename from src/datasets_preview_backend/exceptions.py rename to libs/libutils/src/libutils/exceptions.py diff --git a/libs/libutils/src/libutils/logger.py b/libs/libutils/src/libutils/logger.py new file mode 100644 index 00000000..dc081868 --- /dev/null +++ b/libs/libutils/src/libutils/logger.py @@ -0,0 +1,14 @@ +import logging + + +def init_logger(log_level: str = "INFO", name: str = "datasets_preview_backend") -> None: + logger = logging.getLogger(name) + logger.setLevel(log_level) + + formatter = logging.Formatter("%(levelname)s: %(asctime)s - %(name)s - %(message)s") + + logHandler = logging.StreamHandler() + logHandler.setFormatter(formatter) + logger.addHandler(logHandler) + + logger.debug(f"Log level set to: {logging.getLevelName(logger.getEffectiveLevel())}") diff --git a/libs/libutils/src/libutils/py.typed b/libs/libutils/src/libutils/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/libs/libutils/src/libutils/types.py b/libs/libutils/src/libutils/types.py new file mode 100644 index 00000000..1e6bcc55 --- /dev/null +++ b/libs/libutils/src/libutils/types.py @@ -0,0 +1,46 @@ +from typing import Any, Dict, List, Optional, TypedDict + + +class _BaseColumnDict(TypedDict): + name: str + type: str + + +class ColumnDict(_BaseColumnDict, total=False): + # https://www.python.org/dev/peps/pep-0655/#motivation + labels: List[str] + + +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/src/datasets_preview_backend/utils.py b/libs/libutils/src/libutils/utils.py similarity index 91% rename from src/datasets_preview_backend/utils.py rename to libs/libutils/src/libutils/utils.py index 3dd1a969..b75779eb 100644 --- a/src/datasets_preview_backend/utils.py +++ b/libs/libutils/src/libutils/utils.py @@ -7 +7 @@ from os import _Environ -from typing import Any, Dict, Union +from typing import Any, Dict, List, Union @@ -42,0 +43,6 @@ def get_str_value(d: GenericDict, key: str, default: str) -> str: +def get_str_list_value(d: GenericDict, key: str, default: List[str]) -> List[str]: + if key not in d: + return default + return [el.strip() for el in str(d.get(key)).split(",") if len(el.strip())] + + diff --git a/libs/libutils/tests/__init__.py b/libs/libutils/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/test_utils.py b/libs/libutils/tests/test_utils.py similarity index 72% rename from tests/test_utils.py rename to libs/libutils/tests/test_utils.py index 773e5091..3bd02aa6 100644 --- a/tests/test_utils.py +++ b/libs/libutils/tests/test_utils.py @@ -1 +1 @@ -from datasets_preview_backend.utils import ( +from libutils.utils import ( @@ -3,0 +4 @@ from datasets_preview_backend.utils import ( + get_str_list_value, @@ -34,0 +36 @@ def test_get_str_value() -> None: + assert get_str_value({"KEY": " test "}, "KEY", default) == "test" @@ -38,0 +41,12 @@ def test_get_str_value() -> None: +def test_get_str_list_value() -> None: + default = ["a", "b"] + assert get_str_list_value({}, "KEY", default) == default + # Empty string is NOT ignored + assert get_str_list_value({"KEY": ""}, "KEY", default) == [] + assert get_str_list_value({"KEY": "test"}, "KEY", default) == ["test"] + assert get_str_list_value({"KEY": "None"}, "KEY", default) == ["None"] + assert get_str_list_value({"KEY": "a,b,c"}, "KEY", default) == ["a", "b", "c"] + assert get_str_list_value({"KEY": "a , b, c "}, "KEY", default) == ["a", "b", "c"] + assert get_str_list_value({"KEY": "test"}, "DOESNOTEXIST", default) == default + + diff --git a/services/api_service/.env.example b/services/api_service/.env.example new file mode 100644 index 00000000..e2905627 --- /dev/null +++ b/services/api_service/.env.example @@ -0,0 +1,29 @@ +# Application hostname +# APP_HOSTNAME="localhost" + +# Application port +# APP_PORT=8000 + +# Assets directory +# ASSETS_DIRECTORY= + +# 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_preview_cache" + +# Name of the mongo db database used to store the jobs queue +# MONGO_QUEUE_DATABASE="datasets_preview_queue" + +# URL to connect to mongo db +# MONGO_URL="mongodb://localhost:27018" + +# Number of uvicorn workers +# WEB_CONCURRENCY = 2 diff --git a/services/api_service/.flake8 b/services/api_service/.flake8 new file mode 100644 index 00000000..f7d6157c --- /dev/null +++ b/services/api_service/.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/services/api_service/.python-version b/services/api_service/.python-version new file mode 100644 index 00000000..1635d0f5 --- /dev/null +++ b/services/api_service/.python-version @@ -0,0 +1 @@ +3.9.6 diff --git a/services/api_service/INSTALL.md b/services/api_service/INSTALL.md new file mode 100644 index 00000000..4ec83d9b --- /dev/null +++ b/services/api_service/INSTALL.md @@ -0,0 +1,196 @@ +# 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-preview.huggingface.tech; + + 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-preview-backend.git +cd datasets-preview-backend/services/api_service +make install +``` + +Copy and edit the environment variables file: + +```bash +cd datasets-preview-backend/services/api_service +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-preview-backend/ run +``` + +Check if the api is accessible at https://datasets-preview.huggingface.tech/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-preview-backend, first pause the monitor at https://betteruptime.com/team/14149/monitors/389098. + +Then update the code + +``` +cd /home/hf/datasets-preview-backend/ +git fetch --tags +git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-preview-backend/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_service +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_service +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-preview-backend/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-preview.huggingface.tech/healthcheck. + +Finally un-pause the monitor at https://betteruptime.com/team/14149/monitors/389098. diff --git a/services/api_service/Makefile b/services/api_service/Makefile new file mode 100644 index 00000000..055be134 --- /dev/null +++ b/services/api_service/Makefile @@ -0,0 +1,17 @@ +include ../../tools/Common.mk + +.PHONY: run +run: + poetry run python src/api_service/main.py + +.PHONY: watch +watch: + poetry run watchmedo auto-restart -d src/api_service -p "*.py" -R python src/api_service/main.py + +.PHONY: test +test: + MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests + +.PHONY: coverage +coverage: + MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/services/api_service/README.md b/services/api_service/README.md new file mode 100644 index 00000000..0ac4bca0 --- /dev/null +++ b/services/api_service/README.md @@ -0,0 +1,659 @@ +# Datasets preview backend API + +> API to get the first rows of 🤗 datasets + +## Install + +See [INSTALL](./INSTALL.md#Install) + +## Run + +Launch with: + +```bash +make run +``` + +Set environment variables to configure the following aspects: + +- `APP_HOSTNAME`: the hostname used by the app. Defaults to `"localhost"`. +- `APP_PORT`: the port used by the app. Defaults to `8000`. +- `ASSETS_DIRECTORY`: directory where the asset files are stored. Defaults to empty, in which case the assets are located in the `datasets_preview_backend_assets` subdirectory inside the OS default cache directory. +- `LOG_LEVEL`: log level, among `DEBUG`, `INFO`, `WARNING`, `ERROR` and `CRITICAL`. Defaults to `INFO`. +- `MAX_AGE_LONG_SECONDS`: number of seconds to set in the `max-age` header on data endpoints. Defaults to `120` (2 minutes). +- `MAX_AGE_SHORT_SECONDS`: number of seconds to set in the `max-age` header on technical endpoints. Defaults to `10` (10 seconds). +- `MONGO_CACHE_DATABASE`: the name of the database used for storing the cache. Defaults to `"datasets_preview_cache"`. +- `MONGO_QUEUE_DATABASE`: the name of the database used for storing the queue. Defaults to `"datasets_preview_queue"`. +- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27018"`. +- `WEB_CONCURRENCY`: the number of workers. For now, it's ignored and hardcoded to 1 because the cache is not shared yet. Defaults to `2`. + +For example: + +```bash +APP_PORT=80 WEB_CONCURRENCY=4 make run +``` + +To reload the application on file changes while developing, run: + +```bash +make watch +``` + +## Endpoints + +### /healthcheck + +> Ensure the app is running + +Example: https://datasets-preview.huggingface.tech/healthcheck + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: text content `ok` + +### /cache + +> Give statistics about the content of the cache + +Example: https://datasets-preview.huggingface.tech/cache + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which gives statistics about the datasets in the cache, with the following structure: + +```json +{ + "datasets": { "empty": 0, "error": 0, "stalled": 0, "valid": 1 }, + "splits": { "empty": 1, "error": 1, "stalled": 0, "valid": 0 }, + "created_at": "2022-01-20T14:40:50Z" +} +``` + +Beware: a "dataset" is considered valid if it has fetched correctly the configs and splits. The splits themselves can have errors (ie: the rows or columns might have errors) + +### /cache-reports + +> Give detailed reports on the content of the cache + +Example: https://datasets-preview.huggingface.tech/cache-reports + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which the dataset cache reports, with the following structure: + +```json +{ + "datasets": { + "empty": [], + "error": [], + "stalled": [], + "valid": [{ "dataset": "sent_comp", "status": "VALID", "error": null }] + }, + "splits": { + "empty": [ + { + "dataset": "sent_comp", + "config": "default", + "split": "train", + "status": "EMPTY", + "error": null + } + ], + "error": [ + { + "dataset": "sent_comp", + "config": "default", + "split": "validation", + "status": "error", + "error": { + "status_code": 400, + "exception": "Status400Error", + "message": "Cannot get the first rows for the split.", + "cause_exception": "FileNotFoundError", + "cause_message": "[Errno 2] No such file or directory: 'https://github.com/google-research-datasets/sentence-compression/raw/master/data/comp-data.eval.json.gz'", + "cause_traceback": [ + "Traceback (most recent call last):\n", + " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 61, in get_rows\n rows = extract_rows(dataset_name, config_name, split_name, num_rows, hf_token)\n", + " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 32, in decorator\n return func(*args, **kwargs)\n", + " File \"/home/slesage/hf/datasets-preview-backend/src/datasets_preview_backend/models/row.py\", line 55, in extract_rows\n return list(iterable_dataset.take(num_rows))\n", + " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 341, in __iter__\n for key, example in self._iter():\n", + " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 338, in _iter\n yield from ex_iterable\n", + " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 273, in __iter__\n yield from islice(self.ex_iterable, self.n)\n", + " File \"/home/slesage/hf/datasets-preview-backend/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py\", line 78, in __iter__\n for key, example in self.generate_examples_fn(**self.kwargs):\n", + " File \"/home/slesage/.cache/huggingface/modules/datasets_modules/datasets/sent_comp/512501fef5db888ec620cb9e4943420ea7c7c244c60de9222fb50bca1232f4b5/sent_comp.py\", line 136, in _generate_examples\n with gzip.open(filepath, mode=\"rt\", encoding=\"utf-8\") as f:\n", + " File \"/home/slesage/.pyenv/versions/3.9.6/lib/python3.9/gzip.py\", line 58, in open\n binary_file = GzipFile(filename, gz_mode, compresslevel)\n", + " File \"/home/slesage/.pyenv/versions/3.9.6/lib/python3.9/gzip.py\", line 173, in __init__\n fileobj = self.myfileobj = builtins.open(filename, mode or 'rb')\n", + "FileNotFoundError: [Errno 2] No such file or directory: 'https://github.com/google-research-datasets/sentence-compression/raw/master/data/comp-data.eval.json.gz'\n" + ] + } + } + ], + "stalled": [], + "valid": [] + }, + "created_at": "2022-01-20T14:40:27Z" +} +``` + +Beware: a "dataset" is considered valid if it has fetched correctly the configs and splits. The splits themselves can have errors (ie: the rows or columns might have errors) + +### /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 stalled cache entries are considered valid. + +Example: https://datasets-preview.huggingface.tech/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 stalled cache entries are considered valid. + +Example: https://datasets-preview.huggingface.tech/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 +} +``` + +### /hf-datasets-count-by-cache-status + +> Give statistics about the datasets of the hub + +Example: https://datasets-preview.huggingface.tech/hf-datasets-count-by-cache-status + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which gives statistics about the status of the public datasets of the Hub, split by canonical or community, with the following structure: + +```json +{ + "canonical": { + "valid": 0, + "error": 0, + "missing": 1 + }, + "community": { + "valid": 0, + "error": 0, + "missing": 1 + }, + "created_at": "2022-01-20T13:52:05Z" +} +``` + +The meaning is the following: + +- "valid": the list of splits and the 100 first rows of every split are available (maybe stalled) +- "error": the list of splits could not be fetched, or the rows could not be fetched for some splits +- "missing": the list of splits is missing, or the rows are missing for some splits + +### /queue + +> Give statistics about the content of the queue + +Example: https://datasets-preview.huggingface.tech/queue + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which gives statistics about the queue, with the following structure: + +```json +{ + "datasets": { + "waiting": 0, + "started": 0, + "success": 1, + "error": 0, + "cancelled": 0 + }, + "splits": { + "waiting": 0, + "started": 0, + "success": 0, + "error": 0, + "cancelled": 34 + }, + "created_at": "2022-01-20T13:52:05Z" +} +``` + +### /queue-dump + +> Give the queue entries, classed by status + +Example: https://datasets-preview.huggingface.tech/queue-dump + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which the queue content, by status, with the following structure: + +```json +{ + "datasets": { + "waiting": [], + "started": [], + "success": [ + { + "dataset_name": "glue", + "status": "SUCCESS", + "created_at": "2022-01-20T13:48:06.705000", + "started_at": "2022-01-20T13:48:21.615000", + "finished_at": "2022-01-20T13:48:27.898000" + } + ], + "error": [], + "cancelled": [] + }, + "splits": { + "waiting": [], + "started": [], + "success": [], + "error": [], + "cancelled": [ + { + "dataset_name": "glue", + "config_name": "cola", + "split_name": "test", + "status": "CANCELLED", + "created_at": "2022-01-20T13:48:27.846000", + "started_at": null, + "finished_at": "2022-01-20T13:51:51.411000" + } + ] + }, + "created_at": "2022-01-20T13:59:03Z" +} +``` + +### /queue-dump-waiting-started + +> Give the queue entries, classed by status, only for "waiting" and "started" statuses + +Example: https://datasets-preview.huggingface.tech/queue-dump-waiting-started + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which the queue content, by status, with the following structure: + +```json +{ + "datasets": { + "waiting": [], + "started": [] + }, + "splits": { + "waiting": [], + "started": [] + }, + "created_at": "2022-01-20T13:59:03Z" +} +``` + +### /webhook + +> Adds, updates or removes a cache entry + +Example: https://datasets-preview.huggingface.tech/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 ${MODELS[@]}; do curl -X POST https://datasets-preview.huggingface.tech/webhook -H 'Content-Type: application/json' -d '{"update": "datasets/'$model'"}'; done; +``` + +### /refresh-split + +> Refresh the cache of rows and columns of a split + +Example: https://datasets-preview.huggingface.tech/refresh-split + +Method: `POST` + +Body: + +```json +{ + "dataset": "glue", + "config": "ax", + "split": "test" +} +``` + +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 + +### /hf_datasets + +> Lists the HuggingFace [datasets](https://huggingface.co/docs/datasets/loading_datasets.html#selecting-a-configuration): canonical and community + +Example: https://datasets-preview.huggingface.tech/hf_datasets + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content with the following structure: + + ```json + { + "datasets": [ + { + "id": "acronym_identification", + "tags": [ + "annotations_creators:expert-generated", + "language_creators:found", + "languages:en", + "licenses:mit", + "multilinguality:monolingual", + "size_categories:10K<n<100K", + "source_datasets:original", + "task_categories:structure-prediction", + "task_ids:structure-prediction-other-acronym-identification" + ], + "citation": "@inproceedings{veyseh-et-al-2020-what,\n title={{What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation}},\n author={Amir Pouran Ben Veyseh and Franck Dernoncourt and Quan Hung Tran and Thien Huu Nguyen},\n year={2020},\n booktitle={Proceedings of COLING},\n link={https://arxiv.org/pdf/2010.14678v1.pdf}\n}", + "description": "Acronym identification training and development sets for the acronym identification task at SDU@AAAI-21.", + "paperswithcode_id": "acronym-identification", + "downloads": 5174 + }, + { + "id": "aeslc", + "tags": ["languages:en"], + "citation": "@misc{zhang2019email,\n title={This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation},\n author={Rui Zhang and Joel Tetreault},\n year={2019},\n eprint={1906.03497},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}", + "description": "A collection of email messages of employees in the Enron Corporation.\n\nThere are two features:\n - email_body: email body text.\n - subject_line: email subject text.", + "paperswithcode_id": "aeslc", + "downloads": 3053 + }, + { + "id": "afrikaans_ner_corpus", + "tags": [ + "annotations_creators:expert-generated", + "language_creators:expert-generated", + "languages:af", + "licenses:other-Creative Commons Attribution 2.5 South Africa License", + "multilinguality:monolingual", + "size_categories:1K<n<10K", + "source_datasets:original", + "task_categories:structure-prediction", + "task_ids:named-entity-recognition" + ], + "citation": "@inproceedings{afrikaans_ner_corpus,\n author = {\tGerhard van Huyssteen and\n Martin Puttkammer and\n E.B. Trollip and\n J.C. Liversage and\n Roald Eiselen},\n title = {NCHLT Afrikaans Named Entity Annotated Corpus},\n booktitle = {Eiselen, R. 2016. Government domain named entity recognition for South African languages. Proceedings of the 10th Language Resource and Evaluation Conference, Portorož, Slovenia.},\n year = {2016},\n url = {https://repo.sadilar.org/handle/20.500.12185/299},\n}", + "description": "Named entity annotated data from the NCHLT Text Resource Development: Phase II Project, annotated with PERSON, LOCATION, ORGANISATION and MISCELLANEOUS tags.", + "paperswithcode_id": null, + "downloads": 229 + } + ] + } + ``` + +- `500`: application error + +### /splits + +> Lists the [splits](https://huggingface.co/docs/datasets/splits.html) names for a dataset + +Example: https://datasets-preview.huggingface.tech/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-preview.huggingface.tech/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-preview.huggingface.tech/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. 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+[virtualenvs] +in-project = true diff --git a/services/api_service/pyproject.toml b/services/api_service/pyproject.toml new file mode 100644 index 00000000..057c8878 --- /dev/null +++ b/services/api_service/pyproject.toml @@ -0,0 +1,47 @@ +[tool.poetry] +authors = ["Sylvain Lesage <[email protected]>"] +description = "REST API app" +name = "api_service" +version = "0.1.0" + +[tool.poetry.dependencies] +huggingface-hub = "^0.5.1" +libcache = { path = "../../libs/libcache", develop = true } +libqueue = { path = "../../libs/libqueue", develop = true } +libutils = { path = "../../libs/libutils", develop = true } +python = "3.9.6" +python-dotenv = "^0.20.0" +starlette = "^0.16.0" +uvicorn = "^0.14.0" +watchdog = { extras = ["watchmedo"], version = "^2.1.3" } + +[tool.poetry.dev-dependencies] +bandit = "^1.7.0" +black = "^22.1.0" +flake8 = "^3.9.2" +isort = "^5.9.3" +mypy = "0.812" +poetryup = "^0.3.8" +pytest = "^6.2.5" +pytest-cov = "^2.12.1" +safety = "^1.10.3" + +[build-system] +build-backend = "poetry.core.masonry.api" +requires = ["poetry-core>=1.0.0"] + +[tool.pytest.ini_options] +filterwarnings = ["ignore::DeprecationWarning"] + +[tool.coverage.run] +source = ["api_service"] + +[tool.isort] +profile = "black" + +[tool.black] +line-length = 119 +preview = true + +[tool.mypy] +strict = true diff --git a/services/api_service/src/api_service/__init__.py b/services/api_service/src/api_service/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/datasets_preview_backend/app.py b/services/api_service/src/api_service/app.py similarity index 57% rename from src/datasets_preview_backend/app.py rename to services/api_service/src/api_service/app.py index 378f8aff..b72668c2 100644 --- a/src/datasets_preview_backend/app.py +++ b/services/api_service/src/api_service/app.py @@ -1,0 +2,4 @@ import uvicorn # type: ignore +from libcache.asset import init_assets_dir, show_assets_dir +from libcache.cache import connect_to_cache +from libqueue.queue import connect_to_queue +from libutils.logger import init_logger @@ -8 +12 @@ from starlette.staticfiles import StaticFiles -from datasets_preview_backend.config import ( +from api_service.config import ( @@ -10,0 +15 @@ from datasets_preview_backend.config import ( + ASSETS_DIRECTORY, @@ -11,0 +17,3 @@ from datasets_preview_backend.config import ( + MONGO_CACHE_DATABASE, + MONGO_QUEUE_DATABASE, + MONGO_URL, @@ -14,8 +22,4 @@ from datasets_preview_backend.config import ( -from datasets_preview_backend.io.asset import assets_directory, show_asserts_dir -from datasets_preview_backend.io.cache import connect_to_cache -from datasets_preview_backend.io.logger import init_logger -from datasets_preview_backend.io.queue import connect_to_queue -from datasets_preview_backend.routes.cache_reports import cache_reports_endpoint -from datasets_preview_backend.routes.cache_stats import cache_stats_endpoint -from datasets_preview_backend.routes.healthcheck import healthcheck_endpoint -from datasets_preview_backend.routes.hf_datasets import ( +from api_service.routes.cache_reports import cache_reports_endpoint +from api_service.routes.cache_stats import cache_stats_endpoint +from api_service.routes.healthcheck import healthcheck_endpoint +from api_service.routes.hf_datasets import ( @@ -25 +29 @@ from datasets_preview_backend.routes.hf_datasets import ( -from datasets_preview_backend.routes.queue_dump import ( +from api_service.routes.queue_dump import ( @@ -29,9 +33,6 @@ from datasets_preview_backend.routes.queue_dump import ( -from datasets_preview_backend.routes.queue_stats import queue_stats_endpoint -from datasets_preview_backend.routes.refresh_split import refresh_split_endpoint -from datasets_preview_backend.routes.rows import rows_endpoint -from datasets_preview_backend.routes.splits import splits_endpoint -from datasets_preview_backend.routes.valid import ( - is_valid_endpoint, - valid_datasets_endpoint, -) -from datasets_preview_backend.routes.webhook import webhook_endpoint +from api_service.routes.queue_stats import queue_stats_endpoint +from api_service.routes.refresh_split import refresh_split_endpoint +from api_service.routes.rows import rows_endpoint +from api_service.routes.splits import splits_endpoint +from api_service.routes.valid import is_valid_endpoint, valid_datasets_endpoint +from api_service.routes.webhook import webhook_endpoint @@ -42,3 +43,3 @@ def create_app() -> Starlette: - connect_to_cache() - connect_to_queue() - show_asserts_dir() + 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) @@ -48 +49 @@ def create_app() -> Starlette: - Mount("/assets", app=StaticFiles(directory=assets_directory, check_dir=True), name="assets"), + Mount("/assets", app=StaticFiles(directory=init_assets_dir(ASSETS_DIRECTORY), check_dir=True), name="assets"), diff --git a/src/datasets_preview_backend/config.py b/services/api_service/src/api_service/config.py similarity index 52% rename from src/datasets_preview_backend/config.py rename to services/api_service/src/api_service/config.py index 4947caa4..0977dd81 100644 --- a/src/datasets_preview_backend/config.py +++ b/services/api_service/src/api_service/config.py @@ -3,0 +4 @@ from dotenv import load_dotenv +from libutils.utils import get_int_value, get_str_or_none_value, get_str_value @@ -5 +6 @@ from dotenv import load_dotenv -from datasets_preview_backend.constants import ( +from api_service.constants import ( @@ -9,3 +9,0 @@ from datasets_preview_backend.constants import ( - DEFAULT_DATASETS_ENABLE_PRIVATE, - DEFAULT_DATASETS_REVISION, - DEFAULT_HF_TOKEN, @@ -15 +12,0 @@ from datasets_preview_backend.constants import ( - DEFAULT_MAX_SIZE_FALLBACK, @@ -19,3 +15,0 @@ from datasets_preview_backend.constants import ( - DEFAULT_ROWS_MAX_BYTES, - DEFAULT_ROWS_MAX_NUMBER, - DEFAULT_ROWS_MIN_NUMBER, @@ -24,6 +17,0 @@ from datasets_preview_backend.constants import ( -from datasets_preview_backend.utils import ( - get_bool_value, - get_int_value, - get_str_or_none_value, - get_str_value, -) @@ -37,5 +24,0 @@ ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key="ASSETS_DIRECTORY", d -DATASETS_ENABLE_PRIVATE = get_bool_value( - d=os.environ, key="DATASETS_ENABLE_PRIVATE", default=DEFAULT_DATASETS_ENABLE_PRIVATE -) -DATASETS_REVISION = get_str_value(d=os.environ, key="DATASETS_REVISION", default=DEFAULT_DATASETS_REVISION) -HF_TOKEN = get_str_or_none_value(d=os.environ, key="HF_TOKEN", default=DEFAULT_HF_TOKEN) @@ -49,9 +31,0 @@ WEB_CONCURRENCY = get_int_value(d=os.environ, key="WEB_CONCURRENCY", default=DEF - -# Ensure datasets library uses the expected revision for canonical datasets -os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION - -# for tests - to be removed -MAX_SIZE_FALLBACK = get_int_value(os.environ, "MAX_SIZE_FALLBACK", DEFAULT_MAX_SIZE_FALLBACK) -ROWS_MAX_BYTES = get_int_value(d=os.environ, key="ROWS_MAX_BYTES", default=DEFAULT_ROWS_MAX_BYTES) -ROWS_MAX_NUMBER = get_int_value(d=os.environ, key="ROWS_MAX_NUMBER", default=DEFAULT_ROWS_MAX_NUMBER) -ROWS_MIN_NUMBER = get_int_value(d=os.environ, key="ROWS_MIN_NUMBER", default=DEFAULT_ROWS_MIN_NUMBER) diff --git a/services/api_service/src/api_service/constants.py b/services/api_service/src/api_service/constants.py new file mode 100644 index 00000000..3f3aa783 --- /dev/null +++ b/services/api_service/src/api_service/constants.py @@ -0,0 +1,11 @@ +DEFAULT_APP_HOSTNAME: str = "localhost" +DEFAULT_APP_PORT: int = 8000 +DEFAULT_ASSETS_DIRECTORY: None = None +DEFAULT_DATASETS_ENABLE_PRIVATE: bool = False +DEFAULT_LOG_LEVEL: str = "INFO" +DEFAULT_MAX_AGE_LONG_SECONDS: int = 120 # 2 minutes +DEFAULT_MAX_AGE_SHORT_SECONDS: int = 10 # 10 seconds +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_WEB_CONCURRENCY: int = 2 diff --git a/src/datasets_preview_backend/models/hf_dataset.py b/services/api_service/src/api_service/hf_dataset.py similarity index 87% rename from src/datasets_preview_backend/models/hf_dataset.py rename to services/api_service/src/api_service/hf_dataset.py index fd7c1b13..f202d638 100644 --- a/src/datasets_preview_backend/models/hf_dataset.py +++ b/services/api_service/src/api_service/hf_dataset.py @@ -4 +4 @@ from typing import List, TypedDict, Union -from datasets import list_datasets +from huggingface_hub import list_datasets # type: ignore @@ -20 +20 @@ def get_hf_datasets() -> List[HFDataset]: - datasets = list_datasets(with_community_datasets=True, with_details=True) # type: ignore + datasets = list_datasets(full=True) diff --git a/services/api_service/src/api_service/main.py b/services/api_service/src/api_service/main.py new file mode 100644 index 00000000..8c4570d1 --- /dev/null +++ b/services/api_service/src/api_service/main.py @@ -0,0 +1,4 @@ +from api_service.app import start + +if __name__ == "__main__": + start() diff --git a/services/api_service/src/api_service/middleware/__init__.py b/services/api_service/src/api_service/middleware/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/datasets_preview_backend/middleware/token.py b/services/api_service/src/api_service/middleware/token.py similarity index 96% rename from src/datasets_preview_backend/middleware/token.py rename to services/api_service/src/api_service/middleware/token.py index 59c94554..7b20032b 100644 --- a/src/datasets_preview_backend/middleware/token.py +++ b/services/api_service/src/api_service/middleware/token.py @@ -8 +8 @@ from starlette.requests import HTTPConnection -from datasets_preview_backend.constants import DEFAULT_DATASETS_ENABLE_PRIVATE +from api_service.constants import DEFAULT_DATASETS_ENABLE_PRIVATE diff --git a/services/api_service/src/api_service/py.typed b/services/api_service/src/api_service/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/services/api_service/src/api_service/routes/__init__.py b/services/api_service/src/api_service/routes/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/datasets_preview_backend/routes/_utils.py b/services/api_service/src/api_service/routes/_utils.py similarity index 89% rename from src/datasets_preview_backend/routes/_utils.py rename to services/api_service/src/api_service/routes/_utils.py index c3cf36d6..5621a259 100644 --- a/src/datasets_preview_backend/routes/_utils.py +++ b/services/api_service/src/api_service/routes/_utils.py @@ -2,0 +3 @@ from typing import Any +from libutils.utils import orjson_dumps @@ -5,2 +5,0 @@ from starlette.responses import JSONResponse, Response -from datasets_preview_backend.utils import orjson_dumps - diff --git a/src/datasets_preview_backend/routes/cache_reports.py b/services/api_service/src/api_service/routes/cache_reports.py similarity index 66% rename from src/datasets_preview_backend/routes/cache_reports.py rename to services/api_service/src/api_service/routes/cache_reports.py index d6284abe..6d8d5529 100644 --- a/src/datasets_preview_backend/routes/cache_reports.py +++ b/services/api_service/src/api_service/routes/cache_reports.py @@ -3,0 +4 @@ import time +from libcache.cache import get_datasets_reports_by_status, get_splits_reports_by_status @@ -7,6 +8,2 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_SHORT_SECONDS -from datasets_preview_backend.io.cache import ( - get_datasets_reports_by_status, - get_splits_reports_by_status, -) -from datasets_preview_backend.routes._utils import get_response +from api_service.config import MAX_AGE_SHORT_SECONDS +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/cache_stats.py b/services/api_service/src/api_service/routes/cache_stats.py similarity index 66% rename from src/datasets_preview_backend/routes/cache_stats.py rename to services/api_service/src/api_service/routes/cache_stats.py index b06b5205..d907842c 100644 --- a/src/datasets_preview_backend/routes/cache_stats.py +++ b/services/api_service/src/api_service/routes/cache_stats.py @@ -3,0 +4 @@ import time +from libcache.cache import get_datasets_count_by_status, get_splits_count_by_status @@ -7,6 +8,2 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_SHORT_SECONDS -from datasets_preview_backend.io.cache import ( - get_datasets_count_by_status, - get_splits_count_by_status, -) -from datasets_preview_backend.routes._utils import get_response +from api_service.config import MAX_AGE_SHORT_SECONDS +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/healthcheck.py b/services/api_service/src/api_service/routes/healthcheck.py similarity index 100% rename from src/datasets_preview_backend/routes/healthcheck.py rename to services/api_service/src/api_service/routes/healthcheck.py diff --git a/src/datasets_preview_backend/routes/hf_datasets.py b/services/api_service/src/api_service/routes/hf_datasets.py similarity index 77% rename from src/datasets_preview_backend/routes/hf_datasets.py rename to services/api_service/src/api_service/routes/hf_datasets.py index 65d40b1f..cb2c2f69 100644 --- a/src/datasets_preview_backend/routes/hf_datasets.py +++ b/services/api_service/src/api_service/routes/hf_datasets.py @@ -2,0 +3 @@ import logging +from libcache.cache import get_datasets_count_by_cache_status @@ -6,4 +7,3 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.io.cache import get_datasets_count_by_cache_status -from datasets_preview_backend.models.hf_dataset import get_hf_datasets -from datasets_preview_backend.routes._utils import get_response +from api_service.config import MAX_AGE_LONG_SECONDS +from api_service.hf_dataset import get_hf_datasets +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/queue_dump.py b/services/api_service/src/api_service/routes/queue_dump.py similarity index 79% rename from src/datasets_preview_backend/routes/queue_dump.py rename to services/api_service/src/api_service/routes/queue_dump.py index 3ea7c788..36dec955 100644 --- a/src/datasets_preview_backend/routes/queue_dump.py +++ b/services/api_service/src/api_service/routes/queue_dump.py @@ -3,0 +4 @@ import time +from libqueue.queue import get_dataset_dump_by_status, get_split_dump_by_status @@ -7,6 +8,2 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_SHORT_SECONDS -from datasets_preview_backend.io.queue import ( - get_dataset_dump_by_status, - get_split_dump_by_status, -) -from datasets_preview_backend.routes._utils import get_response +from api_service.config import MAX_AGE_SHORT_SECONDS +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/queue_stats.py b/services/api_service/src/api_service/routes/queue_stats.py similarity index 76% rename from src/datasets_preview_backend/routes/queue_stats.py rename to services/api_service/src/api_service/routes/queue_stats.py index 6dedfe78..d8610fd5 100644 --- a/src/datasets_preview_backend/routes/queue_stats.py +++ b/services/api_service/src/api_service/routes/queue_stats.py @@ -4,5 +4 @@ import time -from starlette.requests import Request -from starlette.responses import Response - -from datasets_preview_backend.config import MAX_AGE_SHORT_SECONDS -from datasets_preview_backend.io.queue import ( +from libqueue.queue import ( @@ -12 +8,5 @@ from datasets_preview_backend.io.queue import ( -from datasets_preview_backend.routes._utils import get_response +from starlette.requests import Request +from starlette.responses import Response + +from api_service.config import MAX_AGE_SHORT_SECONDS +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/refresh_split.py b/services/api_service/src/api_service/routes/refresh_split.py similarity index 92% rename from src/datasets_preview_backend/routes/refresh_split.py rename to services/api_service/src/api_service/routes/refresh_split.py index 06c24f6c..3dd7392e 100644 --- a/src/datasets_preview_backend/routes/refresh_split.py +++ b/services/api_service/src/api_service/routes/refresh_split.py @@ -3,0 +4 @@ from typing import Any, TypedDict +from libqueue.queue import add_split_job @@ -7,2 +8 @@ from starlette.responses import Response -from datasets_preview_backend.io.queue import add_split_job -from datasets_preview_backend.routes._utils import get_response +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/rows.py b/services/api_service/src/api_service/routes/rows.py similarity index 81% rename from src/datasets_preview_backend/routes/rows.py rename to services/api_service/src/api_service/routes/rows.py index a7dfaf79..702be2a2 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/services/api_service/src/api_service/routes/rows.py @@ -2,0 +3,3 @@ import logging +from libcache.cache import get_rows_response +from libqueue.queue import is_dataset_in_queue, is_split_in_queue +from libutils.exceptions import Status400Error, Status500Error, StatusError @@ -6,9 +9,2 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import ( - Status400Error, - Status500Error, - StatusError, -) -from datasets_preview_backend.io.cache import get_rows_response -from datasets_preview_backend.io.queue import is_dataset_in_queue, is_split_in_queue -from datasets_preview_backend.routes._utils import get_response +from api_service.config import MAX_AGE_LONG_SECONDS +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/splits.py b/services/api_service/src/api_service/routes/splits.py similarity index 75% rename from src/datasets_preview_backend/routes/splits.py rename to services/api_service/src/api_service/routes/splits.py index 5d36f8b6..d2f1b8f3 100644 --- a/src/datasets_preview_backend/routes/splits.py +++ b/services/api_service/src/api_service/routes/splits.py @@ -2,0 +3,3 @@ import logging +from libcache.cache import get_splits_response +from libqueue.queue import is_dataset_in_queue +from libutils.exceptions import Status400Error, Status500Error, StatusError @@ -6,9 +9,2 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import ( - Status400Error, - Status500Error, - StatusError, -) -from datasets_preview_backend.io.cache import get_splits_response -from datasets_preview_backend.io.queue import is_dataset_in_queue -from datasets_preview_backend.routes._utils import get_response +from api_service.config import MAX_AGE_LONG_SECONDS +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/valid.py b/services/api_service/src/api_service/routes/valid.py similarity index 81% rename from src/datasets_preview_backend/routes/valid.py rename to services/api_service/src/api_service/routes/valid.py index dd179bf0..63fcde1a 100644 --- a/src/datasets_preview_backend/routes/valid.py +++ b/services/api_service/src/api_service/routes/valid.py @@ -4,6 +4 @@ import time -from starlette.requests import Request -from starlette.responses import Response - -from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import Status400Error, StatusError -from datasets_preview_backend.io.cache import ( +from libcache.cache import ( @@ -13 +8,6 @@ from datasets_preview_backend.io.cache import ( -from datasets_preview_backend.routes._utils import get_response +from libutils.exceptions import Status400Error, StatusError +from starlette.requests import Request +from starlette.responses import Response + +from api_service.config import MAX_AGE_LONG_SECONDS +from api_service.routes._utils import get_response diff --git a/src/datasets_preview_backend/routes/webhook.py b/services/api_service/src/api_service/routes/webhook.py similarity index 90% rename from src/datasets_preview_backend/routes/webhook.py rename to services/api_service/src/api_service/routes/webhook.py index f348b006..f209523f 100644 --- a/src/datasets_preview_backend/routes/webhook.py +++ b/services/api_service/src/api_service/routes/webhook.py @@ -3,0 +4,2 @@ from typing import Any, Optional, TypedDict +from libcache.cache import create_or_mark_dataset_as_stalled, delete_dataset_cache +from libqueue.queue import add_dataset_job @@ -7,6 +9 @@ from starlette.responses import Response -from datasets_preview_backend.io.cache import ( - create_or_mark_dataset_as_stalled, - delete_dataset_cache, -) -from datasets_preview_backend.io.queue import add_dataset_job -from datasets_preview_backend.routes._utils import get_response +from api_service.routes._utils import get_response diff --git a/services/api_service/tests/__init__.py b/services/api_service/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/api_service/tests/_utils.py b/services/api_service/tests/_utils.py new file mode 100644 index 00000000..bbc675cd --- /dev/null +++ b/services/api_service/tests/_utils.py @@ -0,0 +1,9 @@ +import os + +from libutils.utils import get_str_value + +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue_test" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" + +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) diff --git a/services/api_service/tests/middleware/__init__.py b/services/api_service/tests/middleware/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/middleware/test_token.py b/services/api_service/tests/middleware/test_token.py similarity index 91% rename from tests/middleware/test_token.py rename to services/api_service/tests/middleware/test_token.py index bc6aa7b0..90db1e38 100644 --- a/tests/middleware/test_token.py +++ b/services/api_service/tests/middleware/test_token.py @@ -6 +6 @@ from starlette.requests import Request -from datasets_preview_backend.middleware.token import get_token +from api_service.middleware.token import get_token diff --git a/services/api_service/tests/test_app.py b/services/api_service/tests/test_app.py new file mode 100644 index 00000000..5058918c --- /dev/null +++ b/services/api_service/tests/test_app.py @@ -0,0 +1,348 @@ +import pytest + +# from libcache.cache import clean_database as clean_cache_database +from libcache.cache import ( + create_or_mark_dataset_as_stalled, + create_or_mark_split_as_stalled, +) +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 starlette.testclient import TestClient + +from api_service.app import create_app + +from ._utils import MONGO_QUEUE_DATABASE, MONGO_URL + + [email protected](autouse=True, scope="module") +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_QUEUE_DATABASE: + raise ValueError("Tests on queue must be launched on a test mongo database") + + [email protected](scope="module") +def client() -> TestClient: + connect_to_queue(database=MONGO_QUEUE_DATABASE, host=MONGO_URL) + return TestClient(create_app()) + + [email protected](autouse=True) +def clean_mongo_databases() -> None: + # clean_cache_database() + clean_queue_database() + + +# 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 "stalled" 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 + + +def test_get_cache_stats(client: TestClient) -> None: + response = client.get("/cache") + 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 "stalled" in datasets + assert "valid" in datasets + + +def test_get_valid_datasets(client: TestClient) -> None: + response = client.get("/valid") + assert response.status_code == 200 + json = response.json() + assert "valid" in json + + +def test_get_is_valid(client: TestClient) -> None: + response = client.get("/is-valid") + assert response.status_code == 400 + + response = client.get("/is-valid", params={"dataset": "doesnotexist"}) + assert response.status_code == 200 + json = response.json() + assert "valid" in json + assert json["valid"] is False + + # 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 + + +def test_get_healthcheck(client: TestClient) -> None: + response = client.get("/healthcheck") + assert response.status_code == 200 + assert response.text == "ok" + + +def test_get_hf_datasets(client: TestClient) -> None: + response = client.get("/hf_datasets") + assert response.status_code == 200 + json = response.json() + datasets = json["datasets"] + assert len(datasets) > 1000 + + +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 + + # missing parameter + response = client.get("/splits") + assert response.status_code == 400 + + +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 + 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 + + +# 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 + + +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_stalled(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_stalled({"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-preview-backend/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 diff --git a/tests/models/test_hf_dataset.py b/services/api_service/tests/test_hf_dataset.py similarity index 91% rename from tests/models/test_hf_dataset.py rename to services/api_service/tests/test_hf_dataset.py index b8405d95..380e8555 100644 --- a/tests/models/test_hf_dataset.py +++ b/services/api_service/tests/test_hf_dataset.py @@ -1 +1 @@ -from datasets_preview_backend.models.hf_dataset import get_hf_datasets +from api_service.hf_dataset import get_hf_datasets diff --git a/.env.example b/services/job_runner/.env.example similarity index 70% rename from .env.example rename to services/job_runner/.env.example index cde82ffc..b97f5636 100644 --- a/.env.example +++ b/services/job_runner/.env.example @@ -1,10 +0,0 @@ -########################### -# make run/watch/test ... # -########################### - -# Application hostname -# APP_HOSTNAME="localhost" - -# Application port -# APP_PORT=8000 - @@ -14,2 +4,2 @@ -# Enable private datasets -# DATASETS_ENABLE_PRIVATE=False +# Datasets blocklist +DATASETS_BLOCKLIST="" @@ -20,25 +9,0 @@ -# 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_preview_cache" - -# Name of the mongo db database used to store the jobs queue -# MONGO_QUEUE_DATABASE="datasets_preview_queue" - -# URL to connect to mongo db -# MONGO_URL="mongodb://localhost:27018" - -# Number of uvicorn workers -# WEB_CONCURRENCY = 2 - -########## -# worker # -########## - @@ -47,0 +13,3 @@ +# Log level +# LOG_LEVEL = "INFO" + @@ -59,0 +28,12 @@ +# 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_preview_cache" + +# Name of the mongo db database used to store the jobs queue +# MONGO_QUEUE_DATABASE="datasets_preview_queue" + +# URL to connect to mongo db +# MONGO_URL="mongodb://localhost:27018" + @@ -74,7 +53,0 @@ - -########### -# refresh # -########### - -# Percentage of datasets to refresh -# REFRESH_PCT = 1 diff --git a/services/job_runner/.flake8 b/services/job_runner/.flake8 new file mode 100644 index 00000000..f7d6157c --- /dev/null +++ b/services/job_runner/.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/services/job_runner/.python-version b/services/job_runner/.python-version new file mode 100644 index 00000000..1635d0f5 --- /dev/null +++ b/services/job_runner/.python-version @@ -0,0 +1 @@ +3.9.6 diff --git a/services/job_runner/INSTALL.md b/services/job_runner/INSTALL.md new file mode 100644 index 00000000..bc2a8855 --- /dev/null +++ b/services/job_runner/INSTALL.md @@ -0,0 +1,158 @@ +# 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 job runner: + +```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-preview-backend.git +cd datasets-preview-backend/services/job_runner +make install +``` + +Copy and edit the environment variables file: + +```bash +cd datasets-preview-backend/services/job_runner +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 job runners with: + +```bash +pm2 start --name datasets-worker make -- -C /home/hf/datasets-preview-backend/services/job_runner/ datasets-worker +``` + +Deploy the splits job runners with: + +```bash +pm2 start --name splits-worker make -- -C /home/hf/datasets-preview-backend/services/job_runner/ splits-worker +``` + +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 job-runner, first update the code + +``` +cd /home/hf/datasets-preview-backend/ +git fetch --tags +git checkout XXXX # <- the latest release tag (https://github.com/huggingface/datasets-preview-backend/releases/latest) +``` + +If the Python version has been increased to 3.9.6, for example, [run](https://stackoverflow.com/a/65589331/7351594): + +``` +cd services/job_runner +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/job_runner +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-preview-backend/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 datasets-worker +pm2 restart splits-worker +``` diff --git a/services/job_runner/Makefile b/services/job_runner/Makefile new file mode 100644 index 00000000..b6434ba3 --- /dev/null +++ b/services/job_runner/Makefile @@ -0,0 +1,19 @@ +include ../../tools/Common.mk + +.PHONY: datasets-worker +datasets-worker: + WORKER_QUEUE=dataset poetry run python src/job_runner/main.py + +.PHONY: splits-worker +splits-worker: + WORKER_QUEUE=splits poetry run python src/job_runner/main.py + +# Ensure to specify HF_TOKEN when calling make test, ie HF_TOKEN=hf_app_xxx make test +.PHONY: test +test: + ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -x tests + +# Ensure to specify HF_TOKEN when calling make coverage, ie HF_TOKEN=hf_app_xxx make coverage +.PHONY: coverage +coverage: + ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/services/job_runner/README.md b/services/job_runner/README.md new file mode 100644 index 00000000..7400cfa9 --- /dev/null +++ b/services/job_runner/README.md @@ -0,0 +1,48 @@ +# Datasets preview backend - job runner + +> Job runner to pre-process datasets and splits + +## Install + +See [INSTALL](./INSTALL.md#Install) + +## Run + +Launch the worker to preprocess the datasets queue: + +```bash +make datasets-worker +``` + +Launch the worker to preprocess the splits queue: + +```bash +make splits-worker +``` + +Set environment variables to configure the following aspects: + +- `ASSETS_DIRECTORY`: directory where the asset files are stored. Defaults to empty, in which case the assets are located in the `datasets_preview_backend_assets` subdirectory inside the OS default cache directory. +- `DATASETS_BLOCKLIST`: comma-separated list of datasets that will never be processed. It's used to preventively block the biggest datasets, that we don't know how to manage properly in our infrastructure. An example: `DATASETS_BLOCKLIST="Alvenir/nst-da-16khz,bigscience/P3,clips/mqa"` (use [`\`](https://stackoverflow.com/a/3871336/7351594) to have one dataset per line if it makes the list more readable). Defaults to empty. +- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `master`. +- `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. Defaults to 70. +- `MAX_MEMORY_PCT`: the maximum memory (RAM + SWAP) usage of the machine (in percentage) allowed to start a job. Defaults to 80. +- `MAX_SIZE_FALLBACK`: the maximum size in bytes of the dataset to fallback in normal mode if streaming fails. Note that it requires to have the size in the info metadata. Set to `0` to disable the fallback. Defaults to `100_000_000`. +- `MIN_CELL_BYTES`: the minimum size in bytes of a cell when truncating the content of a row (see `ROWS_MAX_BYTES`). Below this limit, the cell content will not be truncated. Defaults to `100`. +- `MONGO_CACHE_DATABASE`: the name of the database used for storing the cache. Defaults to `"datasets_preview_cache"`. +- `MONGO_QUEUE_DATABASE`: the name of the database used for storing the queue. Defaults to `"datasets_preview_queue"`. +- `MONGO_URL`: the URL used to connect to the mongo db server. Defaults to `"mongodb://localhost:27018"`. +- `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`. +- `WORKER_QUEUE`: name of the queue the worker will pull jobs from. It can be equal to `datasets` or `splits`. The `datasets` jobs should be a lot faster than the `splits` ones, so that we should need a lot more workers for `splits` than for `datasets`. Note that this environment variable is already set to the appropriate value in `make datasets-worker` and `make splits-worker`. Defaults to `datasets`. +- `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. Defaults to `5`. + +For example: + +```bash +LOG_LEVEL=DEBUG make datasets-worker +``` diff --git a/poetry.lock b/services/job_runner/poetry.lock similarity index 70% rename from poetry.lock rename to services/job_runner/poetry.lock index e6f98014..988cb853 100644 --- a/poetry.lock +++ b/services/job_runner/poetry.lock @@ -62 +62 @@ name = "apache-beam" -version = "2.36.0" +version = "2.38.0" @@ -72 +72 @@ dill = ">=0.3.1.1,<0.3.2" -fastavro = ">=0.21.4,<2" +fastavro = ">=0.23.6,<2" @@ -76 +76 @@ httplib2 = ">=0.8,<0.20.0" -numpy = ">=1.14.3,<1.22.0" +numpy = ">=1.14.3,<1.23.0" @@ -92 +92 @@ azure = ["azure-storage-blob (>=12.3.2)", "azure-core (>=1.7.0)"] -dataframe = ["pandas (>=1.0,<1.4)"] +dataframe = ["pandas (>=1.0,<1.5)"] @@ -95,3 +95,3 @@ gcp = ["cachetools (>=3.1.0,<5)", "google-apitools (>=0.5.31,<0.5.32)", "google- -interactive = ["facets-overview (>=1.0.0,<2)", "ipython (>=7,<8)", "ipykernel (>=5.2.0,<6)", "ipywidgets (>=7.6.5,<8)", "jupyter-client (>=6.1.11,<6.1.13)", "timeloop (>=1.0.2,<2)"] -interactive_test = ["nbformat (>=5.0.5,<6)", "nbconvert (>=6.2.0,<7)", "selenium (>=3.141.0,<4)", "needle (>=0.5.0,<1)", "chromedriver-binary (>=96,<97)", "pillow (>=7.1.1,<8)"] -test = ["freezegun (>=0.3.12)", "mock (>=1.0.1,<3.0.0)", "pandas (<2.0.0)", "parameterized (>=0.7.1,<0.8.0)", "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 (>=1.29.0,<2)", "pytest-timeout (>=1.3.3,<2)", "sqlalchemy (>=1.3,<2.0)", "psycopg2-binary (>=2.8.5,<3.0.0)", "testcontainers (>=3.0.3,<4.0.0)"] +interactive = ["facets-overview (>=1.0.0,<2)", "google-cloud-dataproc (>=3.0.0,<3.2.0)", "ipython (>=7,<8)", "ipykernel (>=5.2.0,<6)", "ipywidgets (>=7.6.5,<8)", "jupyter-client (>=6.1.11,<6.1.13)", "timeloop (>=1.0.2,<2)"] +interactive_test = ["nbformat (>=5.0.5,<6)", "nbconvert (>=6.2.0,<7)", "needle (>=0.5.0,<1)", "chromedriver-binary (>=96,<97)", "pillow (>=7.1.1,<8)"] +test = ["freezegun (>=0.3.12)", "mock (>=1.0.1,<3.0.0)", "pandas (<2.0.0)", "parameterized (>=0.7.1,<0.8.0)", "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 (>=1.29.0,<2)", "pytest-timeout (>=1.3.3,<2)", "sqlalchemy (>=1.3,<2.0)", "psycopg2-binary (>=2.8.5,<3.0.0)", "testcontainers[mysql] (>=3.0.3,<4.0.0)", "cryptography (>=36.0.0)"] @@ -107,11 +106,0 @@ python-versions = "*" -[[package]] -name = "asgiref" -version = "3.5.0" -description = "ASGI specs, helper code, and adapters" -category = "main" -optional = false -python-versions = ">=3.7" - -[package.extras] -tests = ["pytest", "pytest-asyncio", "mypy (>=0.800)"] - @@ -169 +158 @@ name = "azure-core" -version = "1.22.1" +version = "1.23.1" @@ -177,0 +167 @@ six = ">=1.11.0" +typing-extensions = ">=4.0.1" @@ -181 +171 @@ name = "azure-identity" -version = "1.7.1" +version = "1.10.0" @@ -185 +175 @@ optional = false -python-versions = "*" +python-versions = ">=3.6" @@ -191 +181 @@ msal = ">=1.12.0,<2.0.0" -msal-extensions = ">=0.3.0,<0.4.0" +msal-extensions = ">=0.3.0,<2.0.0" @@ -196 +186 @@ name = "azure-storage-blob" -version = "12.9.0" +version = "12.11.0" @@ -200 +190 @@ optional = false -python-versions = "*" +python-versions = ">=3.6" @@ -203 +193 @@ python-versions = "*" -azure-core = ">=1.10.0,<2.0.0" +azure-core = ">=1.15.0,<2.0.0" @@ -209 +199 @@ name = "bandit" -version = "1.7.2" +version = "1.7.4" @@ -222 +212 @@ stevedore = ">=1.20.0" -test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "pylint (==1.9.4)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "toml"] +test = ["coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "toml", "beautifulsoup4 (>=4.8.0)", "pylint (==1.9.4)"] @@ -228 +218 @@ name = "beautifulsoup4" -version = "4.10.0" +version = "4.11.1" @@ -232 +222 @@ optional = false -python-versions = ">3.0.0" +python-versions = ">=3.6.0" @@ -243 +233 @@ name = "black" -version = "22.1.0" +version = "22.3.0" @@ -254 +244 @@ platformdirs = ">=2" -tomli = ">=1.1.0" +tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} @@ -341 +331 @@ name = "click" -version = "8.0.4" +version = "8.1.3" @@ -345 +335 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -403 +393 @@ name = "cryptography" -version = "36.0.1" +version = "37.0.1" @@ -418 +408 @@ ssh = ["bcrypt (>=3.1.5)"] -test = ["pytest (>=6.2.0)", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] +test = ["pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-subtests", "pytest-xdist", "pretend", "iso8601", "pytz", "hypothesis (>=1.11.4,!=3.79.2)"] @@ -449 +439 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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)", "importlib-resources"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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)", "importlib-resources"] @@ -455 +445 @@ 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", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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", "importlib-resources"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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", "importlib-resources"] @@ -478,8 +467,0 @@ graph = ["objgraph (>=1.7.2)"] -[[package]] -name = "diskcache" -version = "5.4.0" -description = "Disk Cache -- Disk and file backed persistent cache." -category = "main" -optional = false -python-versions = ">=3" - @@ -531 +513 @@ name = "elastic-transport" -version = "8.0.1" +version = "8.1.2" @@ -542 +524 @@ urllib3 = ">=1.26.2,<2" -develop = ["pytest", "pytest-cov", "pytest-mock", "pytest-asyncio", "mock", "requests", "aiohttp"] +develop = ["pytest", "pytest-cov", "pytest-mock", "pytest-asyncio", "pytest-httpserver", "trustme", "mock", "requests", "aiohttp"] @@ -546 +528 @@ name = "elasticsearch" -version = "8.0.0" +version = "8.1.3" @@ -569 +551 @@ name = "fastavro" -version = "1.4.9" +version = "1.4.11" @@ -695 +677 @@ name = "gdown" -version = "4.3.1" +version = "4.4.0" @@ -732 +714 @@ name = "google-auth" -version = "2.6.0" +version = "2.6.6" @@ -777 +759 @@ name = "grpcio" -version = "1.44.0" +version = "1.45.0" @@ -787,9 +769 @@ six = ">=1.5.2" -protobuf = ["grpcio-tools (>=1.44.0)"] - -[[package]] -name = "h11" -version = "0.13.0" -description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1" -category = "main" -optional = false -python-versions = ">=3.6" +protobuf = ["grpcio-tools (>=1.45.0)"] @@ -810 +784 @@ name = "hdfs" -version = "2.6.0" +version = "2.7.0" @@ -839 +813 @@ name = "huggingface-hub" -version = "0.4.0" +version = "0.5.1" @@ -843 +817 @@ optional = false -python-versions = ">=3.6.0" +python-versions = ">=3.7.0" @@ -854,2 +828,5 @@ typing-extensions = ">=3.7.4.3" -tensorflow = ["tensorflow"] -testing = ["pytest", "datasets"] +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"] @@ -857,3 +833,0 @@ torch = ["torch"] -all = ["pytest", "datasets", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -dev = ["pytest", "datasets", "black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] -quality = ["black (>=20.8b1)", "isort (>=5.5.4)", "flake8 (>=3.8.3)"] @@ -871 +845 @@ name = "importlib-metadata" -version = "4.11.1" +version = "4.11.3" @@ -881 +855 @@ zipp = ">=0.5" -docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"] +docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"] @@ -948 +921,0 @@ url = "https://github.com/kpu/kenlm/archive/master.zip" - @@ -981,0 +955,19 @@ python-versions = ">=3" +[[package]] +name = "libcache" +version = "0.1.0" +description = "Library for the cache in mongodb" +category = "main" +optional = false +python-versions = "3.9.6" +develop = true + +[package.dependencies] +appdirs = "^1.4.4" +libutils = {path = "../../libs/libutils", develop = true} +mongo-types = "0.15.1" +mongoengine = "^0.23.1" + +[package.source] +type = "directory" +url = "../../libs/libcache" + @@ -984 +976 @@ name = "libclang" -version = "13.0.0" +version = "14.0.1" @@ -989,0 +982,18 @@ python-versions = "*" +[[package]] +name = "libqueue" +version = "0.1.0" +description = "Library for the jobs queue in mongodb" +category = "main" +optional = false +python-versions = "3.9.6" +develop = true + +[package.dependencies] +libutils = {path = "../../libs/libutils", develop = true} +mongo-types = "0.15.1" +mongoengine = "^0.23.1" + +[package.source] +type = "directory" +url = "../../libs/libqueue" + @@ -1015,0 +1026,18 @@ tests = ["matplotlib (>=3.3.0)", "pytest-mpl", "pytest-cov", "pytest", "contextl +[[package]] +name = "libutils" +version = "0.1.0" +description = "Library for utils" +category = "main" +optional = false +python-versions = "3.9.6" +develop = true + +[package.dependencies] +function-parser = "^0.0.3" +orjson = "^3.6.4" +starlette = "^0.16.0" + +[package.source] +type = "directory" +url = "../../libs/libutils" + @@ -1018 +1046 @@ name = "llvmlite" -version = "0.38.0" +version = "0.36.0" @@ -1022 +1050 @@ optional = false -python-versions = ">=3.7,<3.11" +python-versions = ">=3.6,<3.10" @@ -1107,2 +1135,2 @@ name = "msal-extensions" -version = "0.3.1" -description = "" +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." @@ -1245 +1273 @@ name = "numba" -version = "0.55.1" +version = "0.53.1" @@ -1249 +1277 @@ optional = false -python-versions = ">=3.7,<3.11" +python-versions = ">=3.6,<3.10" @@ -1252,2 +1280,2 @@ python-versions = ">=3.7,<3.11" -llvmlite = ">=0.38.0rc1,<0.39" -numpy = ">=1.18,<1.22" +llvmlite = ">=0.36.0rc1,<0.37" +numpy = ">=1.15" @@ -1257 +1285 @@ name = "numpy" -version = "1.21.5" +version = "1.22.3" @@ -1261 +1289 @@ optional = false -python-versions = ">=3.7,<3.11" +python-versions = ">=3.8" @@ -1319 +1347 @@ name = "orjson" -version = "3.6.7" +version = "3.6.8" @@ -1338 +1366 @@ name = "pandas" -version = "1.4.1" +version = "1.4.2" @@ -1382 +1410 @@ name = "platformdirs" -version = "2.5.1" +version = "2.5.2" @@ -1389,2 +1417,2 @@ python-versions = ">=3.7" -docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"] -test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"] +docs = ["furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)", "sphinx (>=4)"] +test = ["appdirs (==1.4.4)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)", "pytest (>=6)"] @@ -1465 +1493 @@ name = "protobuf" -version = "3.19.4" +version = "3.20.1" @@ -1469 +1497 @@ optional = false -python-versions = ">=3.5" +python-versions = ">=3.7" @@ -1547 +1575 @@ name = "pybcj" -version = "0.5.0" +version = "0.5.2" @@ -1551 +1579 @@ optional = false -python-versions = "*" +python-versions = ">=3.6" @@ -1554,2 +1582,2 @@ python-versions = "*" -check = ["mypy", "check-manifest", "flake8", "readme-renderer", "pygments", "isort", "twine"] -test = ["pytest", "hypothesis"] +check = ["mypy (>=0.812)", "mypy-extensions (>=0.4.3)", "check-manifest", "flake8", "flake8-black", "readme-renderer", "pygments", "isort (>=5.0.3)", "twine"] +test = ["pytest (>=6.0)", "pytest-cov", "hypothesis", "coverage[toml] (>=5.2)"] @@ -1610 +1638 @@ name = "pyhive" -version = "0.6.4" +version = "0.6.5" @@ -1629 +1657 @@ name = "pyicu" -version = "2.8.1" +version = "2.9" @@ -1680 +1708 @@ name = "pyppmd" -version = "0.17.3" +version = "0.18.2" @@ -1739 +1767 @@ name = "python-arango" -version = "7.3.1" +version = "7.3.3" @@ -1743 +1771 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -1749 +1776,0 @@ requests-toolbelt = "*" -setuptools-scm = {version = ">=3.4", extras = ["toml"]} @@ -1753 +1780 @@ urllib3 = ">=1.26.0" -dev = ["black", "flake8 (>=3.8.4)", "isort (>=5.0.0)", "mypy (>=0.790)", "mock", "pre-commit (>=2.9.3)", "pytest (>=6.0.0)", "pytest-cov (>=2.0.0)", "sphinx", "sphinx-rtd-theme", "types-pkg-resources", "types-requests"] +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"] @@ -1768 +1795 @@ name = "python-dotenv" -version = "0.19.2" +version = "0.20.0" @@ -1779 +1806 @@ name = "pytz" -version = "2021.3" +version = "2022.1" @@ -1819 +1846 @@ name = "regex" -version = "2022.1.18" +version = "2022.4.24" @@ -1823 +1850 @@ optional = false -python-versions = "*" +python-versions = ">=3.6" @@ -1916 +1943 @@ name = "sacremoses" -version = "0.0.47" +version = "0.0.49" @@ -1996,16 +2022,0 @@ test = ["coverage", "nose"] -[[package]] -name = "setuptools-scm" -version = "6.4.2" -description = "the blessed package to manage your versions by scm tags" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -packaging = ">=20.0" -tomli = ">=1.0.0" - -[package.extras] -test = ["pytest (>=6.2)", "virtualenv (>20)"] -toml = ["setuptools (>=42)"] - @@ -2063 +2074 @@ name = "soupsieve" -version = "2.3.1" +version = "2.3.2.post1" @@ -2163 +2174 @@ name = "tensorflow-io-gcs-filesystem" -version = "0.24.0" +version = "0.25.0" @@ -2223 +2234 @@ name = "tokenizers" -version = "0.11.5" +version = "0.12.1" @@ -2245 +2256 @@ description = "A lil' TOML parser" -category = "main" +category = "dev" @@ -2281 +2292 @@ name = "tqdm" -version = "4.62.3" +version = "4.64.0" @@ -2292,0 +2304 @@ notebook = ["ipywidgets (>=6)"] +slack = ["slack-sdk"] @@ -2297 +2309 @@ name = "transformers" -version = "4.16.2" +version = "4.18.0" @@ -2312 +2324 @@ sacremoses = "*" -tokenizers = ">=0.10.1,<0.11.3 || >0.11.3" +tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.13" @@ -2316 +2328 @@ tqdm = ">=4.27" -all = ["tensorflow (>=2.3)", "onnxconverter-common", "tf2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.5)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.10.1,!=0.11.3)", "torchaudio", "librosa", "pyctcdecode (>=0.3.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)"] +all = ["tensorflow (>=2.3)", "onnxconverter-common", "tf2onnx", "torch (>=1.0)", "jax (>=0.2.8,!=0.3.2)", "jaxlib (>=0.1.65)", 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"sha256:56bf8aadb83c24db6c4b577e13de374ccfb67da2078beba1d037c17980bf43ad"}, diff --git a/services/job_runner/poetry.toml b/services/job_runner/poetry.toml new file mode 100644 index 00000000..ab1033bd --- /dev/null +++ b/services/job_runner/poetry.toml @@ -0,0 +1,2 @@ +[virtualenvs] +in-project = true diff --git a/pyproject.toml b/services/job_runner/pyproject.toml similarity index 73% rename from pyproject.toml rename to services/job_runner/pyproject.toml index db27a41a..62891743 100644 --- a/pyproject.toml +++ b/services/job_runner/pyproject.toml @@ -2,3 +2,3 @@ -authors = ["Sylvain Lesage <[email protected]>"] -description = "API to extract rows of 🤗 datasets" -name = "datasets-preview-backend" +authors = ["Sylvain Lesage <[email protected]>"] +description = "Worker that refreshes datasets and splits" +name = "job_runner" @@ -12 +11,0 @@ apache-beam = "^2.33.0" -appdirs = "^1.4.4" @@ -16,2 +14,0 @@ datasets = { extras = ["audio", "vision"], version = "^2.1.0" } -diskcache = "^5.2.1" -function-parser = "^0.0.3" @@ -20,0 +18,3 @@ kss = "^2.6.0" +libcache = { path = "../../libs/libcache", develop = true } +libqueue = { path = "../../libs/libqueue", develop = true } +libutils = { path = "../../libs/libutils", develop = true } @@ -23,2 +22,0 @@ lxml = "^4.6.3" -mongo-types = "0.15.1" -mongoengine = "^0.23.1" @@ -28 +25,0 @@ openpyxl = "^3.0.9" -orjson = "^3.6.4" @@ -33 +30 @@ python = "3.9.6" -python-dotenv = "^0.19.1" +python-dotenv = "^0.20.0" @@ -37 +33,0 @@ sklearn = "^0.0" -starlette = "^0.16.0" @@ -42 +38 @@ transformers = "^4.11.3" -trec-car-tools = { path = "vendors/trec-car-tools/python3" } +trec-car-tools = { path = "../../vendors/trec-car-tools/python3" } @@ -46,2 +41,0 @@ types-requests = "^2.25.11" -uvicorn = "^0.14.0" -watchdog = { extras = ["watchmedo"], version = "^2.1.3" } @@ -69 +63 @@ filterwarnings = ["ignore::DeprecationWarning"] -source = ["datasets_preview_backend"] +source = ["job_runner"] diff --git a/services/job_runner/src/job_runner/__init__.py b/services/job_runner/src/job_runner/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/job_runner/src/job_runner/config.py b/services/job_runner/src/job_runner/config.py new file mode 100644 index 00000000..cca9435c --- /dev/null +++ b/services/job_runner/src/job_runner/config.py @@ -0,0 +1,58 @@ +import os + +from datasets.utils.logging import log_levels, set_verbosity +from dotenv import load_dotenv +from libutils.utils import ( + get_int_value, + get_str_list_value, + get_str_or_none_value, + get_str_value, +) + +from job_runner.constants import ( + DEFAULT_ASSETS_DIRECTORY, + DEFAULT_DATASETS_BLOCKLIST, + DEFAULT_DATASETS_REVISION, + DEFAULT_HF_TOKEN, + DEFAULT_LOG_LEVEL, + DEFAULT_MAX_JOBS_PER_DATASET, + DEFAULT_MAX_LOAD_PCT, + DEFAULT_MAX_MEMORY_PCT, + DEFAULT_MAX_SIZE_FALLBACK, + DEFAULT_MIN_CELL_BYTES, + DEFAULT_MONGO_CACHE_DATABASE, + DEFAULT_MONGO_QUEUE_DATABASE, + DEFAULT_MONGO_URL, + DEFAULT_ROWS_MAX_BYTES, + DEFAULT_ROWS_MAX_NUMBER, + DEFAULT_ROWS_MIN_NUMBER, + DEFAULT_WORKER_QUEUE, + DEFAULT_WORKER_SLEEP_SECONDS, +) + +# Load environment variables defined in .env, if any +load_dotenv() + +ASSETS_DIRECTORY = get_str_or_none_value(d=os.environ, key="ASSETS_DIRECTORY", default=DEFAULT_ASSETS_DIRECTORY) +DATASETS_BLOCKLIST = get_str_list_value(d=os.environ, key="DATASETS_BLOCKLIST", default=DEFAULT_DATASETS_BLOCKLIST) +DATASETS_REVISION = get_str_value(d=os.environ, key="DATASETS_REVISION", default=DEFAULT_DATASETS_REVISION) +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) +MAX_SIZE_FALLBACK = get_int_value(os.environ, "MAX_SIZE_FALLBACK", DEFAULT_MAX_SIZE_FALLBACK) +MIN_CELL_BYTES = get_int_value(os.environ, "MIN_CELL_BYTES", DEFAULT_MIN_CELL_BYTES) +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) +ROWS_MAX_BYTES = get_int_value(os.environ, "ROWS_MAX_BYTES", DEFAULT_ROWS_MAX_BYTES) +ROWS_MAX_NUMBER = get_int_value(os.environ, "ROWS_MAX_NUMBER", DEFAULT_ROWS_MAX_NUMBER) +ROWS_MIN_NUMBER = get_int_value(os.environ, "ROWS_MIN_NUMBER", DEFAULT_ROWS_MIN_NUMBER) +WORKER_QUEUE = get_str_value(os.environ, "WORKER_QUEUE", DEFAULT_WORKER_QUEUE) +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 +os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION +# Set logs from the datasets library to the least verbose +set_verbosity(log_levels["critical"]) diff --git a/services/job_runner/src/job_runner/constants.py b/services/job_runner/src/job_runner/constants.py new file mode 100644 index 00000000..d30ce8e9 --- /dev/null +++ b/services/job_runner/src/job_runner/constants.py @@ -0,0 +1,20 @@ +from typing import List, Optional + +DEFAULT_ASSETS_DIRECTORY: None = None +DEFAULT_DATASETS_BLOCKLIST: List[str] = [] +DEFAULT_DATASETS_REVISION: str = "master" +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_MAX_SIZE_FALLBACK: int = 100_000_000 +DEFAULT_MIN_CELL_BYTES: int = 100 +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" +DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_ROWS_MAX_BYTES: int = 1_000_000 +DEFAULT_ROWS_MAX_NUMBER: int = 100 +DEFAULT_ROWS_MIN_NUMBER: int = 10 +DEFAULT_WORKER_SLEEP_SECONDS: int = 5 +DEFAULT_WORKER_QUEUE: str = "datasets" diff --git a/src/datasets_preview_backend/worker.py b/services/job_runner/src/job_runner/main.py similarity index 58% rename from src/datasets_preview_backend/worker.py rename to services/job_runner/src/job_runner/main.py index b8a59a55..f91ccadf 100644 --- a/src/datasets_preview_backend/worker.py +++ b/services/job_runner/src/job_runner/main.py @@ -2 +1,0 @@ import logging -import os @@ -6,24 +5,3 @@ import time -from dotenv import load_dotenv -from psutil import cpu_count, getloadavg, swap_memory, virtual_memory - -from datasets_preview_backend.constants import ( - DEFAULT_DATASETS_REVISION, - DEFAULT_HF_TOKEN, - DEFAULT_MAX_JOBS_PER_DATASET, - DEFAULT_MAX_LOAD_PCT, - DEFAULT_MAX_MEMORY_PCT, - DEFAULT_MAX_SIZE_FALLBACK, - DEFAULT_ROWS_MAX_BYTES, - DEFAULT_ROWS_MAX_NUMBER, - DEFAULT_ROWS_MIN_NUMBER, - DEFAULT_WORKER_QUEUE, - DEFAULT_WORKER_SLEEP_SECONDS, -) -from datasets_preview_backend.exceptions import Status400Error -from datasets_preview_backend.io.cache import ( - connect_to_cache, - refresh_dataset_split_full_names, - refresh_split, -) -from datasets_preview_backend.io.logger import init_logger -from datasets_preview_backend.io.queue import ( +from libcache.asset import show_assets_dir +from libcache.cache import connect_to_cache +from libqueue.queue import ( @@ -38,5 +16,3 @@ from datasets_preview_backend.io.queue import ( -from datasets_preview_backend.utils import ( - get_int_value, - get_str_or_none_value, - get_str_value, -) +from libutils.exceptions import Status400Error +from libutils.logger import init_logger +from psutil import cpu_count, getloadavg, swap_memory, virtual_memory @@ -44,16 +20,16 @@ from datasets_preview_backend.utils import ( -# Load environment variables defined in .env, if any -load_dotenv() -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) -worker_sleep_seconds = get_int_value(os.environ, "WORKER_SLEEP_SECONDS", DEFAULT_WORKER_SLEEP_SECONDS) -hf_token = get_str_or_none_value(d=os.environ, key="HF_TOKEN", default=DEFAULT_HF_TOKEN) -max_size_fallback = get_int_value(os.environ, "MAX_SIZE_FALLBACK", DEFAULT_MAX_SIZE_FALLBACK) -rows_max_bytes = get_int_value(os.environ, "ROWS_MAX_BYTES", DEFAULT_ROWS_MAX_BYTES) -rows_max_number = get_int_value(os.environ, "ROWS_MAX_NUMBER", DEFAULT_ROWS_MAX_NUMBER) -rows_min_number = get_int_value(os.environ, "ROWS_MIN_NUMBER", DEFAULT_ROWS_MIN_NUMBER) -worker_queue = get_str_value(os.environ, "WORKER_QUEUE", DEFAULT_WORKER_QUEUE) - -# Ensure datasets library uses the expected revision for canonical datasets -os.environ["HF_SCRIPTS_VERSION"] = get_str_value( - d=os.environ, key="DATASETS_REVISION", default=DEFAULT_DATASETS_REVISION +from job_runner.config import ( + ASSETS_DIRECTORY, + 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_QUEUE, + WORKER_SLEEP_SECONDS, @@ -60,0 +37 @@ os.environ["HF_SCRIPTS_VERSION"] = get_str_value( +from job_runner.refresh import refresh_dataset_split_full_names, refresh_split @@ -68 +45 @@ def process_next_dataset_job() -> bool: - job_id, dataset_name = get_dataset_job(max_jobs_per_dataset) + job_id, dataset_name = get_dataset_job(MAX_JOBS_PER_DATASET) @@ -77 +54 @@ def process_next_dataset_job() -> bool: - split_full_names = refresh_dataset_split_full_names(dataset_name=dataset_name, hf_token=hf_token) + split_full_names = refresh_dataset_split_full_names(dataset_name=dataset_name, hf_token=HF_TOKEN) @@ -97 +74 @@ def process_next_split_job() -> bool: - job_id, dataset_name, config_name, split_name = get_split_job(max_jobs_per_dataset) + job_id, dataset_name, config_name, split_name = get_split_job(MAX_JOBS_PER_DATASET) @@ -113,5 +90,5 @@ def process_next_split_job() -> bool: - 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, + 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, @@ -133 +110 @@ def process_next_job() -> bool: - if worker_queue == "datasets": + if WORKER_QUEUE == "datasets": @@ -135 +112 @@ def process_next_job() -> bool: - elif worker_queue == "splits": + elif WORKER_QUEUE == "splits": @@ -137 +114 @@ def process_next_job() -> bool: - raise NotImplementedError(f"Job queue {worker_queue} does not exist") + raise NotImplementedError(f"Job queue {WORKER_QUEUE} does not exist") @@ -145 +122 @@ def has_memory() -> bool: - ok = percent < max_memory_pct + ok = percent < MAX_MEMORY_PCT @@ -147 +124 @@ def has_memory() -> bool: - logger.info(f"memory usage (RAM + SWAP) is too high: {percent:.0f}% - max is {max_memory_pct}%") + logger.info(f"memory usage (RAM + SWAP) is too high: {percent:.0f}% - max is {MAX_MEMORY_PCT}%") @@ -155 +132 @@ def has_cpu() -> bool: - ok = load_pct < max_load_pct + ok = load_pct < MAX_LOAD_PCT @@ -157 +134 @@ def has_cpu() -> bool: - logger.info(f"cpu load is too high: {load_pct:.0f}% - max is {max_load_pct}%") + logger.info(f"cpu load is too high: {load_pct:.0f}% - max is {MAX_LOAD_PCT}%") @@ -169 +146 @@ def sleep() -> None: - duration = worker_sleep_seconds * jitter + duration = WORKER_SLEEP_SECONDS * jitter @@ -183,3 +160,4 @@ if __name__ == "__main__": - init_logger("DEBUG") - connect_to_cache() - connect_to_queue() + 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) diff --git a/services/job_runner/src/job_runner/models/__init__.py b/services/job_runner/src/job_runner/models/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/datasets_preview_backend/models/_guard.py b/services/job_runner/src/job_runner/models/_guard.py similarity index 57% rename from src/datasets_preview_backend/models/_guard.py rename to services/job_runner/src/job_runner/models/_guard.py index 3b955bb6..faa87c79 100644 --- a/src/datasets_preview_backend/models/_guard.py +++ b/services/job_runner/src/job_runner/models/_guard.py @@ -1,2 +1,3 @@ -from datasets_preview_backend.constants import DATASETS_BLOCKLIST -from datasets_preview_backend.exceptions import Status400Error +from libutils.exceptions import Status400Error + +from job_runner.config import DATASETS_BLOCKLIST diff --git a/src/datasets_preview_backend/io/asset.py b/services/job_runner/src/job_runner/models/asset.py similarity index 79% rename from src/datasets_preview_backend/io/asset.py rename to services/job_runner/src/job_runner/models/asset.py index 58783a35..412c210a 100644 --- a/src/datasets_preview_backend/io/asset.py +++ b/services/job_runner/src/job_runner/models/asset.py @@ -6 +6 @@ import soundfile # type:ignore -from appdirs import user_cache_dir # type:ignore +from libcache.asset import init_assets_dir @@ -11 +11 @@ from pydub import AudioSegment # type:ignore -from datasets_preview_backend.config import ASSETS_DIRECTORY +from job_runner.config import ASSETS_DIRECTORY @@ -18,8 +17,0 @@ ASSET_DIR_MODE = 0o755 -# set it to the default cache location on the machine, if ASSETS_DIRECTORY is null -assets_directory = user_cache_dir("datasets_preview_backend_assets") if ASSETS_DIRECTORY is None else ASSETS_DIRECTORY -os.makedirs(assets_directory, exist_ok=True) - - -def show_asserts_dir() -> None: - logger.info(f"Assets directory: {assets_directory}") - @@ -28 +20,2 @@ def create_asset_dir(dataset: str, config: str, split: str, row_idx: int, column - dir_path = os.path.join(assets_directory, dataset, DATASET_SEPARATOR, config, split, str(row_idx), column) + assets_dir = init_assets_dir(ASSETS_DIRECTORY) + dir_path = os.path.join(assets_dir, dataset, DATASET_SEPARATOR, config, split, str(row_idx), column) diff --git a/src/datasets_preview_backend/models/column/__init__.py b/services/job_runner/src/job_runner/models/column/__init__.py similarity index 65% rename from src/datasets_preview_backend/models/column/__init__.py rename to services/job_runner/src/job_runner/models/column/__init__.py index 76a261ff..858ca781 100644 --- a/src/datasets_preview_backend/models/column/__init__.py +++ b/services/job_runner/src/job_runner/models/column/__init__.py @@ -3,0 +4 @@ from datasets import DatasetInfo, Features +from libutils.exceptions import Status400Error @@ -5,6 +6,5 @@ from datasets import DatasetInfo, Features -from datasets_preview_backend.config import ROWS_MAX_NUMBER -from datasets_preview_backend.exceptions import Status400Error -from datasets_preview_backend.models.column.audio import AudioColumn -from datasets_preview_backend.models.column.bool import BoolColumn -from datasets_preview_backend.models.column.class_label import ClassLabelColumn -from datasets_preview_backend.models.column.default import ( +from job_runner.config import ROWS_MAX_NUMBER +from job_runner.models.column.audio import AudioColumn +from job_runner.models.column.bool import BoolColumn +from job_runner.models.column.class_label import ClassLabelColumn +from job_runner.models.column.default import ( @@ -19,8 +19,8 @@ from datasets_preview_backend.models.column.default import ( -from datasets_preview_backend.models.column.float import FloatColumn -from datasets_preview_backend.models.column.image import ImageColumn -from datasets_preview_backend.models.column.image_array2d import ImageArray2DColumn -from datasets_preview_backend.models.column.image_array3d import ImageArray3DColumn -from datasets_preview_backend.models.column.image_url import ImageUrlColumn -from datasets_preview_backend.models.column.int import IntColumn -from datasets_preview_backend.models.column.string import StringColumn -from datasets_preview_backend.models.row import Row +from job_runner.models.column.float import FloatColumn +from job_runner.models.column.image import ImageColumn +from job_runner.models.column.image_array2d import ImageArray2DColumn +from job_runner.models.column.image_array3d import ImageArray3DColumn +from job_runner.models.column.image_url import ImageUrlColumn +from job_runner.models.column.int import IntColumn +from job_runner.models.column.string import StringColumn +from job_runner.models.row import Row diff --git a/src/datasets_preview_backend/models/column/audio.py b/services/job_runner/src/job_runner/models/column/audio.py similarity index 93% rename from src/datasets_preview_backend/models/column/audio.py rename to services/job_runner/src/job_runner/models/column/audio.py index ab18733b..862ebe0a 100644 --- a/src/datasets_preview_backend/models/column/audio.py +++ b/services/job_runner/src/job_runner/models/column/audio.py @@ -6,2 +6,2 @@ from numpy import ndarray # type:ignore -from datasets_preview_backend.io.asset import create_audio_files -from datasets_preview_backend.models.column.default import ( +from job_runner.models.asset import create_audio_files +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/bool.py b/services/job_runner/src/job_runner/models/column/bool.py similarity index 94% rename from src/datasets_preview_backend/models/column/bool.py rename to services/job_runner/src/job_runner/models/column/bool.py index 3e1259c6..fb7fea62 100644 --- a/src/datasets_preview_backend/models/column/bool.py +++ b/services/job_runner/src/job_runner/models/column/bool.py @@ -3 +3 @@ from typing import Any, List -from datasets_preview_backend.models.column.default import ( +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/class_label.py b/services/job_runner/src/job_runner/models/column/class_label.py similarity index 94% rename from src/datasets_preview_backend/models/column/class_label.py rename to services/job_runner/src/job_runner/models/column/class_label.py index 5c7d7878..eec01b3f 100644 --- a/src/datasets_preview_backend/models/column/class_label.py +++ b/services/job_runner/src/job_runner/models/column/class_label.py @@ -5 +5 @@ from datasets import ClassLabel -from datasets_preview_backend.models.column.default import ( +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/default.py b/services/job_runner/src/job_runner/models/column/default.py similarity index 83% rename from src/datasets_preview_backend/models/column/default.py rename to services/job_runner/src/job_runner/models/column/default.py index fbbad72b..3eb5c623 100644 --- a/src/datasets_preview_backend/models/column/default.py +++ b/services/job_runner/src/job_runner/models/column/default.py @@ -2 +2 @@ from enum import Enum, auto -from typing import Any, List, TypedDict +from typing import Any, List @@ -4,0 +5 @@ from datasets import Value +from libutils.types import ColumnDict @@ -23,10 +23,0 @@ Cell = Any -class _BaseColumnDict(TypedDict): - name: str - type: str - - -class ColumnDict(_BaseColumnDict, total=False): - # https://www.python.org/dev/peps/pep-0655/#motivation - labels: List[str] - - diff --git a/src/datasets_preview_backend/models/column/float.py b/services/job_runner/src/job_runner/models/column/float.py similarity index 95% rename from src/datasets_preview_backend/models/column/float.py rename to services/job_runner/src/job_runner/models/column/float.py index a6089474..2cb9b6df 100644 --- a/src/datasets_preview_backend/models/column/float.py +++ b/services/job_runner/src/job_runner/models/column/float.py @@ -3 +3 @@ from typing import Any, List -from datasets_preview_backend.models.column.default import ( +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/image.py b/services/job_runner/src/job_runner/models/column/image.py similarity index 91% rename from src/datasets_preview_backend/models/column/image.py rename to services/job_runner/src/job_runner/models/column/image.py index 321b5a1d..02562aa9 100644 --- a/src/datasets_preview_backend/models/column/image.py +++ b/services/job_runner/src/job_runner/models/column/image.py @@ -6,2 +6,2 @@ from PIL import Image as PILImage # type: ignore -from datasets_preview_backend.io.asset import create_image_file -from datasets_preview_backend.models.column.default import ( +from job_runner.models.asset import create_image_file +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/image_array2d.py b/services/job_runner/src/job_runner/models/column/image_array2d.py similarity index 93% rename from src/datasets_preview_backend/models/column/image_array2d.py rename to services/job_runner/src/job_runner/models/column/image_array2d.py index 11a4f460..3dd04858 100644 --- a/src/datasets_preview_backend/models/column/image_array2d.py +++ b/services/job_runner/src/job_runner/models/column/image_array2d.py @@ -7,2 +7,2 @@ from PIL import Image # type: ignore -from datasets_preview_backend.io.asset import create_image_file -from datasets_preview_backend.models.column.default import ( +from job_runner.models.asset import create_image_file +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/image_array3d.py b/services/job_runner/src/job_runner/models/column/image_array3d.py similarity index 93% rename from src/datasets_preview_backend/models/column/image_array3d.py rename to services/job_runner/src/job_runner/models/column/image_array3d.py index 14f4a5bf..59868332 100644 --- a/src/datasets_preview_backend/models/column/image_array3d.py +++ b/services/job_runner/src/job_runner/models/column/image_array3d.py @@ -7,2 +7,2 @@ from PIL import Image # type: ignore -from datasets_preview_backend.io.asset import create_image_file -from datasets_preview_backend.models.column.default import ( +from job_runner.models.asset import create_image_file +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/image_url.py b/services/job_runner/src/job_runner/models/column/image_url.py similarity index 95% rename from src/datasets_preview_backend/models/column/image_url.py rename to services/job_runner/src/job_runner/models/column/image_url.py index a03a44ed..7e356b92 100644 --- a/src/datasets_preview_backend/models/column/image_url.py +++ b/services/job_runner/src/job_runner/models/column/image_url.py @@ -3 +3 @@ from typing import Any, List -from datasets_preview_backend.models.column.default import ( +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/int.py b/services/job_runner/src/job_runner/models/column/int.py similarity index 95% rename from src/datasets_preview_backend/models/column/int.py rename to services/job_runner/src/job_runner/models/column/int.py index d67a1322..11abbe4a 100644 --- a/src/datasets_preview_backend/models/column/int.py +++ b/services/job_runner/src/job_runner/models/column/int.py @@ -3 +3 @@ from typing import Any, List -from datasets_preview_backend.models.column.default import ( +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/column/string.py b/services/job_runner/src/job_runner/models/column/string.py similarity index 94% rename from src/datasets_preview_backend/models/column/string.py rename to services/job_runner/src/job_runner/models/column/string.py index 9495146d..e69ca5e8 100644 --- a/src/datasets_preview_backend/models/column/string.py +++ b/services/job_runner/src/job_runner/models/column/string.py @@ -3 +3 @@ from typing import Any, List -from datasets_preview_backend.models.column.default import ( +from job_runner.models.column.default import ( diff --git a/src/datasets_preview_backend/models/dataset.py b/services/job_runner/src/job_runner/models/dataset.py similarity index 80% rename from src/datasets_preview_backend/models/dataset.py rename to services/job_runner/src/job_runner/models/dataset.py index e116cb3c..82217749 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/services/job_runner/src/job_runner/models/dataset.py @@ -2 +2 @@ import logging -from typing import List, Optional, TypedDict +from typing import List, Optional @@ -5,0 +6,2 @@ from datasets.inspect import SplitsNotFoundError +from libutils.exceptions import Status400Error +from libutils.types import SplitFullName @@ -7,2 +9 @@ from datasets.inspect import SplitsNotFoundError -from datasets_preview_backend.exceptions import Status400Error -from datasets_preview_backend.models._guard import guard_blocked_datasets +from job_runner.models._guard import guard_blocked_datasets @@ -13,6 +13,0 @@ logger = logging.getLogger(__name__) -class SplitFullName(TypedDict): - dataset_name: str - config_name: str - split_name: str - - diff --git a/src/datasets_preview_backend/models/info.py b/services/job_runner/src/job_runner/models/info.py similarity index 91% rename from src/datasets_preview_backend/models/info.py rename to services/job_runner/src/job_runner/models/info.py index ef5bc1a7..19e12be8 100644 --- a/src/datasets_preview_backend/models/info.py +++ b/services/job_runner/src/job_runner/models/info.py @@ -5,2 +5 @@ from datasets import DatasetInfo, DownloadMode, get_dataset_config_info - -from datasets_preview_backend.exceptions import Status400Error +from libutils.exceptions import Status400Error diff --git a/services/job_runner/src/job_runner/models/py.typed b/services/job_runner/src/job_runner/models/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/src/datasets_preview_backend/models/row.py b/services/job_runner/src/job_runner/models/row.py similarity index 92% rename from src/datasets_preview_backend/models/row.py rename to services/job_runner/src/job_runner/models/row.py index 7dd688af..304f6bc0 100644 --- a/src/datasets_preview_backend/models/row.py +++ b/services/job_runner/src/job_runner/models/row.py @@ -5,0 +6 @@ from datasets import Dataset, DownloadMode, IterableDataset, load_dataset +from libutils.utils import retry @@ -7,2 +8 @@ from datasets import Dataset, DownloadMode, IterableDataset, load_dataset -from datasets_preview_backend.constants import DEFAULT_ROWS_MAX_NUMBER -from datasets_preview_backend.utils import retry +from job_runner.constants import DEFAULT_ROWS_MAX_NUMBER diff --git a/src/datasets_preview_backend/models/split.py b/services/job_runner/src/job_runner/models/split.py similarity index 84% rename from src/datasets_preview_backend/models/split.py rename to services/job_runner/src/job_runner/models/split.py index 237c7a96..f6db5ad3 100644 --- a/src/datasets_preview_backend/models/split.py +++ b/services/job_runner/src/job_runner/models/split.py @@ -3 +3 @@ import sys -from typing import Any, Dict, List, Optional, TypedDict +from typing import Any, List, Optional @@ -5,7 +5,2 @@ from typing import Any, Dict, List, Optional, TypedDict -from datasets_preview_backend.constants import DEFAULT_MIN_CELL_BYTES -from datasets_preview_backend.models._guard import guard_blocked_datasets -from datasets_preview_backend.models.column import Column, ColumnDict -from datasets_preview_backend.models.info import get_info -from datasets_preview_backend.models.row import Row -from datasets_preview_backend.models.typed_row import get_typed_rows_and_columns -from datasets_preview_backend.utils import orjson_dumps +from libutils.types import ColumnItem, RowItem, RowsResponse, Split +from libutils.utils import orjson_dumps @@ -13,18 +8,6 @@ from datasets_preview_backend.utils import orjson_dumps -logger = logging.getLogger(__name__) - - -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 +from job_runner.config import MIN_CELL_BYTES +from job_runner.models._guard import guard_blocked_datasets +from job_runner.models.column import Column +from job_runner.models.info import get_info +from job_runner.models.row import Row +from job_runner.models.typed_row import get_typed_rows_and_columns @@ -32,11 +15 @@ class ColumnItem(TypedDict): - -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] +logger = logging.getLogger(__name__) @@ -61 +33,0 @@ def truncate_row_item(row_item: RowItem) -> RowItem: - min_cell_bytes = DEFAULT_MIN_CELL_BYTES @@ -66 +38 @@ def truncate_row_item(row_item: RowItem) -> RowItem: - if cell_bytes > min_cell_bytes: + if cell_bytes > MIN_CELL_BYTES: @@ -68 +40 @@ def truncate_row_item(row_item: RowItem) -> RowItem: - row[column_name] = truncate_cell(cell, min_cell_bytes) + row[column_name] = truncate_cell(cell, MIN_CELL_BYTES) diff --git a/src/datasets_preview_backend/models/typed_row.py b/services/job_runner/src/job_runner/models/typed_row.py similarity index 88% rename from src/datasets_preview_backend/models/typed_row.py rename to services/job_runner/src/job_runner/models/typed_row.py index 4dfe5efb..1bf41668 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/services/job_runner/src/job_runner/models/typed_row.py @@ -4,0 +5 @@ from datasets import DatasetInfo +from libutils.exceptions import Status400Error @@ -6,3 +7,2 @@ from datasets import DatasetInfo -from datasets_preview_backend.exceptions import Status400Error -from datasets_preview_backend.models.column import Column, get_columns -from datasets_preview_backend.models.row import Row, get_rows +from job_runner.models.column import Column, get_columns +from job_runner.models.row import Row, get_rows diff --git a/services/job_runner/src/job_runner/py.typed b/services/job_runner/src/job_runner/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/services/job_runner/src/job_runner/refresh.py b/services/job_runner/src/job_runner/refresh.py new file mode 100644 index 00000000..0ff000db --- /dev/null +++ b/services/job_runner/src/job_runner/refresh.py @@ -0,0 +1,71 @@ +import logging +from typing import List, Optional + +from libcache.cache import ( + upsert_dataset, + upsert_dataset_error, + upsert_split, + upsert_split_error, +) +from libutils.exceptions import Status500Error, StatusError +from libutils.types import SplitFullName + +from job_runner.models.dataset import get_dataset_split_full_names +from job_runner.models.split import get_split + +logger = logging.getLogger(__name__) + + +def refresh_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = None) -> List[SplitFullName]: + try: + 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") + return split_full_names + 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"split '{split_name}' from dataset '{dataset_name}' in config '{config_name}' is valid, cache updated" + ) + except StatusError as err: + upsert_split_error(dataset_name, config_name, split_name, err) + logger.debug( + f"split '{split_name}' from dataset '{dataset_name}' in config '{config_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"split '{split_name}' from dataset '{dataset_name}' in config '{config_name}' had error, cache updated" + ) + raise diff --git a/services/job_runner/tests/__init__.py b/services/job_runner/tests/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/services/job_runner/tests/_utils.py b/services/job_runner/tests/_utils.py new file mode 100644 index 00000000..16de8d39 --- /dev/null +++ b/services/job_runner/tests/_utils.py @@ -0,0 +1,13 @@ +import os + +from libutils.utils import get_int_value, get_str_value + +DEFAULT_HF_TOKEN: str = "" +DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache_test" +DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_ROWS_MAX_NUMBER: int = 5 + +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_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_URL) +ROWS_MAX_NUMBER = get_int_value(d=os.environ, key="ROWS_MAX_NUMBER", default=DEFAULT_ROWS_MAX_NUMBER) diff --git a/services/job_runner/tests/models/__init__.py b/services/job_runner/tests/models/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/tests/models/test_column.py b/services/job_runner/tests/models/test_column.py similarity index 87% rename from tests/models/test_column.py rename to services/job_runner/tests/models/test_column.py index a5ee4db5..42f47bd5 100644 --- a/tests/models/test_column.py +++ b/services/job_runner/tests/models/test_column.py @@ -1,5 +1,3 @@ -from datasets_preview_backend.models.column import ColumnType, get_columns -from datasets_preview_backend.models.column.class_label import ClassLabelColumn - -# from datasets_preview_backend.models.config import get_config_names -from datasets_preview_backend.models.info import get_info +from job_runner.models.column import ColumnType, get_columns +from job_runner.models.column.class_label import ClassLabelColumn +from job_runner.models.info import get_info diff --git a/tests/models/test_dataset.py b/services/job_runner/tests/models/test_dataset.py similarity index 92% rename from tests/models/test_dataset.py rename to services/job_runner/tests/models/test_dataset.py index c82ca972..550c44a8 100644 --- a/tests/models/test_dataset.py +++ b/services/job_runner/tests/models/test_dataset.py @@ -1,0 +2 @@ import pytest +from libutils.exceptions import Status400Error @@ -3,3 +4,3 @@ import pytest -from datasets_preview_backend.config import HF_TOKEN -from datasets_preview_backend.exceptions import Status400Error -from datasets_preview_backend.models.dataset import get_dataset_split_full_names +from job_runner.models.dataset import get_dataset_split_full_names + +from .._utils import HF_TOKEN diff --git a/tests/models/test_info.py b/services/job_runner/tests/models/test_info.py similarity index 81% rename from tests/models/test_info.py rename to services/job_runner/tests/models/test_info.py index 59bf7ab4..9561e22b 100644 --- a/tests/models/test_info.py +++ b/services/job_runner/tests/models/test_info.py @@ -1 +1 @@ -from datasets_preview_backend.models.info import get_info +from job_runner.models.info import get_info diff --git a/tests/models/test_row.py b/services/job_runner/tests/models/test_row.py similarity index 94% rename from tests/models/test_row.py rename to services/job_runner/tests/models/test_row.py index 7b7ed19f..71a6ac04 100644 --- a/tests/models/test_row.py +++ b/services/job_runner/tests/models/test_row.py @@ -3,2 +3,3 @@ from PIL import Image # type: ignore -from datasets_preview_backend.config import ROWS_MAX_NUMBER -from datasets_preview_backend.models.row import get_rows +from job_runner.models.row import get_rows + +from .._utils import ROWS_MAX_NUMBER diff --git a/tests/models/test_split.py b/services/job_runner/tests/models/test_split.py similarity index 88% rename from tests/models/test_split.py rename to services/job_runner/tests/models/test_split.py index 44a4895d..f16ba5bb 100644 --- a/tests/models/test_split.py +++ b/services/job_runner/tests/models/test_split.py @@ -1,2 +1,3 @@ -from datasets_preview_backend.config import HF_TOKEN, MAX_SIZE_FALLBACK, ROWS_MAX_NUMBER -from datasets_preview_backend.models.split import get_split +from job_runner.models.split import get_split + +from .._utils import HF_TOKEN, ROWS_MAX_NUMBER @@ -31,0 +33 @@ def test_fallback() -> None: + MAX_SIZE_FALLBACK = 100_000_000 diff --git a/tests/models/test_typed_row.py b/services/job_runner/tests/models/test_typed_row.py similarity index 91% rename from tests/models/test_typed_row.py rename to services/job_runner/tests/models/test_typed_row.py index f23e25d1..60c02661 100644 --- a/tests/models/test_typed_row.py +++ b/services/job_runner/tests/models/test_typed_row.py @@ -1,4 +1,5 @@ -from datasets_preview_backend.config import ROWS_MAX_NUMBER -from datasets_preview_backend.models.column import ClassLabelColumn, ColumnType -from datasets_preview_backend.models.info import get_info -from datasets_preview_backend.models.typed_row import get_typed_rows_and_columns +from job_runner.models.column import ClassLabelColumn, ColumnType +from job_runner.models.info import get_info +from job_runner.models.typed_row import get_typed_rows_and_columns + +from .._utils import ROWS_MAX_NUMBER diff --git a/services/job_runner/tests/test_refresh.py b/services/job_runner/tests/test_refresh.py new file mode 100644 index 00000000..fb98adf8 --- /dev/null +++ b/services/job_runner/tests/test_refresh.py @@ -0,0 +1,74 @@ +import pytest +from libcache.cache import ( + DbDataset, + clean_database, + connect_to_cache, + get_rows_response, + get_splits_response, +) +from libutils.exceptions import Status400Error + +from job_runner.refresh import refresh_dataset_split_full_names, refresh_split + +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_doesnotexist() -> None: + dataset_name = "doesnotexist" + with pytest.raises(Status400Error): + refresh_dataset_split_full_names(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_config_error() -> None: + # see https://github.com/huggingface/datasets-preview-backend/issues/78 + dataset_name = "Check/region_1" + refresh_dataset_split_full_names(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 = 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-preview-backend/issues/89 + dataset_name = "SaulLu/Natural_Questions_HTML" + refresh_dataset_split_full_names(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 + print(rows_response["columns"]) + 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/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py deleted file mode 100644 index ac90a772..00000000 --- a/src/datasets_preview_backend/constants.py +++ /dev/null @@ -1,56 +0,0 @@ -from typing import List, Optional - -DEFAULT_APP_HOSTNAME: str = "localhost" -DEFAULT_APP_PORT: int = 8000 -DEFAULT_ASSETS_DIRECTORY: None = None -DEFAULT_DATASETS_ENABLE_PRIVATE: bool = False -DEFAULT_DATASETS_REVISION: str = "master" -DEFAULT_LOG_LEVEL: str = "INFO" -DEFAULT_MAX_AGE_LONG_SECONDS: int = 120 # 2 minutes -DEFAULT_MAX_AGE_SHORT_SECONDS: int = 10 # 10 seconds -DEFAULT_MONGO_CACHE_DATABASE: str = "datasets_preview_cache" -DEFAULT_MONGO_QUEUE_DATABASE: str = "datasets_preview_queue" -DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" -DEFAULT_WEB_CONCURRENCY: int = 2 - -DEFAULT_HF_TOKEN: Optional[str] = None -DEFAULT_MAX_JOBS_PER_DATASET: int = 2 -DEFAULT_MAX_LOAD_PCT: int = 50 -DEFAULT_MAX_MEMORY_PCT: int = 60 -DEFAULT_MAX_SIZE_FALLBACK: int = 100_000_000 -DEFAULT_ROWS_MAX_BYTES: int = 1_000_000 -DEFAULT_ROWS_MAX_NUMBER: int = 100 -DEFAULT_ROWS_MIN_NUMBER: int = 10 -DEFAULT_WORKER_SLEEP_SECONDS: int = 5 -DEFAULT_WORKER_QUEUE: str = "datasets" - -DEFAULT_REFRESH_PCT: int = 1 - -# below 100 bytes, the cell content will not be truncated -DEFAULT_MIN_CELL_BYTES: int = 100 - -# these datasets take too much time, we block them beforehand -DATASETS_BLOCKLIST: List[str] = [ - "Alvenir/nst-da-16khz", - "bigscience/P3", - "clips/mqa", - "echarlaix/gqa-lxmert", - "echarlaix/vqa-lxmert", - "fractalego/QA_to_statements", - "hyperpartisan_news_detection", - "imthanhlv/binhvq_news21_raw", - "Graphcore/gqa-lxmert", - "Graphcore/vqa-lxmert", - "kiyoung2/aistage-mrc", - "lewtun/gem-multi-dataset-predictions", - "lukesjordan/worldbank-project-documents", - "math_dataset", - "midas/ldke3k_medium", - "midas/ldke3k_small", - "midas/ldkp3k_small", - "qr/cefr_book_sentences", - "SaulLu/Natural_Questions_HTML_reduced_all", - "SaulLu/Natural_Questions_HTML_Toy", - "unicamp-dl/mmarco", - "z-uo/squad-it", -] diff --git a/src/datasets_preview_backend/io/logger.py b/src/datasets_preview_backend/io/logger.py deleted file mode 100644 index 2e9a6aad..00000000 --- a/src/datasets_preview_backend/io/logger.py +++ /dev/null @@ -1,22 +0,0 @@ -import logging - -import datasets - -from datasets_preview_backend.constants import DEFAULT_LOG_LEVEL - - -def init_logger(log_level: str = DEFAULT_LOG_LEVEL, name: str = "datasets_preview_backend") -> None: - logger = logging.getLogger(name) - logger.setLevel(log_level) - - format = "%(levelname)s: %(asctime)s - %(name)s - %(message)s" - formatter = logging.Formatter(format) - - logHandler = logging.StreamHandler() - logHandler.setFormatter(formatter) - logger.addHandler(logHandler) - - # set logs from the datasets library to the least verbose - datasets.utils.logging.set_verbosity(datasets.utils.logging.log_levels["critical"]) - - logger.debug(f"Log level set to: {logging.getLevelName(logger.getEffectiveLevel())}") diff --git a/src/datasets_preview_backend/io/migrations/validate.py b/src/datasets_preview_backend/io/migrations/validate.py deleted file mode 100644 index 726f1ca9..00000000 --- a/src/datasets_preview_backend/io/migrations/validate.py +++ /dev/null @@ -1,5 +0,0 @@ -from datasets_preview_backend.io.cache import DbSplit, connect_to_cache -from datasets_preview_backend.io.migrations._utils import check_documents - -connect_to_cache() -check_documents(DbSplit, 100) diff --git a/src/datasets_preview_backend/main.py b/src/datasets_preview_backend/main.py deleted file mode 100644 index d35eb55b..00000000 --- a/src/datasets_preview_backend/main.py +++ /dev/null @@ -1,4 +0,0 @@ -from datasets_preview_backend.app import start - -if __name__ == "__main__": - start() diff --git a/tests/test_app.py b/tests/test_app.py deleted file mode 100644 index 720ac3a8..00000000 --- a/tests/test_app.py +++ /dev/null @@ -1,350 +0,0 @@ -import pytest -from starlette.testclient import TestClient - -from datasets_preview_backend.app import create_app -from datasets_preview_backend.config import ( - MONGO_CACHE_DATABASE, - MONGO_QUEUE_DATABASE, - ROWS_MAX_BYTES, - ROWS_MAX_NUMBER, - ROWS_MIN_NUMBER, -) -from datasets_preview_backend.exceptions import Status400Error -from datasets_preview_backend.io.cache import clean_database as clean_cache_database -from datasets_preview_backend.io.cache import ( - create_or_mark_dataset_as_stalled, - create_or_mark_split_as_stalled, - refresh_dataset_split_full_names, - refresh_split, -) -from datasets_preview_backend.io.queue import add_dataset_job, add_split_job -from datasets_preview_backend.io.queue import clean_database as clean_queue_database -from datasets_preview_backend.io.queue import ( - finish_dataset_job, - finish_split_job, - get_dataset_job, -) - - [email protected](autouse=True, scope="module") -def safe_guard() -> None: - if "test" not in MONGO_CACHE_DATABASE: - raise Exception("Tests on cache must be launched on a test mongo database") - if "test" not in MONGO_QUEUE_DATABASE: - raise Exception("Tests on queue must be launched on a test mongo database") - - [email protected](scope="module") -def client() -> TestClient: - return TestClient(create_app()) - - [email protected](autouse=True) -def clean_mongo_databases() -> None: - clean_cache_database() - clean_queue_database() - - -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 "stalled" 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 - - -def test_get_cache_stats(client: TestClient) -> None: - response = client.get("/cache") - 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 "stalled" in datasets - assert "valid" in datasets - - -def test_get_valid_datasets(client: TestClient) -> None: - response = client.get("/valid") - assert response.status_code == 200 - json = response.json() - assert "valid" in json - - -def test_get_is_valid(client: TestClient) -> None: - response = client.get("/is-valid") - assert response.status_code == 400 - - 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 - - response = client.get("/is-valid", params={"dataset": "doesnotexist"}) - assert response.status_code == 200 - json = response.json() - assert "valid" in json - assert json["valid"] is False - - -def test_get_healthcheck(client: TestClient) -> None: - response = client.get("/healthcheck") - assert response.status_code == 200 - assert response.text == "ok" - - -def test_get_hf_datasets(client: TestClient) -> None: - response = client.get("/hf_datasets") - assert response.status_code == 200 - json = response.json() - datasets = json["datasets"] - assert len(datasets) > 1000 - - -def test_get_splits(client: TestClient) -> None: - 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 - - # missing parameter - response = client.get("/splits") - assert response.status_code == 400 - - -def test_get_rows(client: TestClient) -> None: - 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 - response = client.get("/rows") - assert response.status_code == 400 - - # not found - response = client.get("/rows", params={"dataset": dataset, "config": "default", "split": "doesnotexist"}) - assert response.status_code == 400 - - -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 - - -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 - - -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_stalled(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_stalled({"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." - - -def test_error_messages(client: TestClient) -> None: - # https://github.com/huggingface/datasets-preview-backend/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 diff --git a/tools/Common.mk b/tools/Common.mk new file mode 100644 index 00000000..0c0e5ef9 --- /dev/null +++ b/tools/Common.mk @@ -0,0 +1,27 @@ +.PHONY: install +install: + poetry install + +.PHONY: lock +lock: + rm -rf .venv/ + rm -f poetry.lock + poetry lock + poetry install + +# Check that source code meets quality standards + security +.PHONY: quality +quality: + poetry run black --check tests src + poetry run isort --check-only tests src + poetry run flake8 tests src + poetry run mypy tests src + poetry run bandit -r src + poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 -i 46499 +# ^^ safety exceptions: pillow, numpy + +# Format source code automatically +.PHONY: style +style: + poetry run black tests src + poetry run isort tests src
751053eab39fd8bcdd164154fc02f3314ac1a4a6
Sylvain Lesage
2022-04-14T13:21:16
188 upgrade datasets (#209)
diff --git a/poetry.lock b/poetry.lock index dcba2b34..e6f98014 100644 --- a/poetry.lock +++ b/poetry.lock @@ -422 +422 @@ name = "datasets" -version = "2.0.0" +version = "2.1.0" @@ -449 +449 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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)", "importlib-resources"] @@ -455 +455 @@ 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", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "mauve-text", "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", "importlib-resources"] @@ -2563 +2563 @@ python-versions = "3.9.6" -content-hash = "dd82aacae83a234b5bcafe7298a54b4df9b1f20494e4209b34f935b9a07383a7" +content-hash = "b6474f6d8508bf4aa84ef54a373d0e4912880d6f6932a6d6a27bec2bcd25bb61" @@ -3053,2 +3053,2 @@ datasets = [ - {file = "datasets-2.0.0-py3-none-any.whl", hash = "sha256:6219d3674ebfbd6978f2f27f7db89aabdac6f7392efda735b9e005b5d87d3c76"}, - {file = "datasets-2.0.0.tar.gz", hash = "sha256:c93db6b39e5dda72b093d6f11a05945f588e7c5caabb93a0ac4bdf07e0d0ac1a"}, + {file = "datasets-2.1.0-py3-none-any.whl", hash = "sha256:7c186041abb980066bff4482037f41e302741bad4709885b2417569f2f6bac3a"}, + {file = "datasets-2.1.0.tar.gz", hash = "sha256:d2bf81085a07ccbf739a92de9da41822f2979d4352dfdcadb3ec35eeef6cd1ef"}, diff --git a/pyproject.toml b/pyproject.toml index 3e18ea7d..db27a41a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { extras = ["audio", "vision"], version = "^2.0.0" } +datasets = { extras = ["audio", "vision"], version = "^2.1.0" } diff --git a/tests/models/test_row.py b/tests/models/test_row.py index 0f885a31..7b7ed19f 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -66,11 +65,0 @@ def test_audio_dataset() -> None: - - -def test_libsndfile() -> None: - # see https://github.com/huggingface/datasets-preview-backend/issues/194 - rows = get_rows("polinaeterna/ml_spoken_words", "ar_opus", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - assert rows[0]["audio"]["sampling_rate"] == 48000 - - rows = get_rows("polinaeterna/ml_spoken_words", "ar_wav", "train", rows_max_number=ROWS_MAX_NUMBER) - assert len(rows) == ROWS_MAX_NUMBER - assert rows[0]["audio"]["sampling_rate"] == 16000
4f940cb0a1fa0e6cc91bd486fa36f2f3ba8517cd
Sylvain Lesage
2022-04-12T11:44:22
fix: 🐛 allow streaming=False in get_rows (#207)
diff --git a/src/datasets_preview_backend/config.py b/src/datasets_preview_backend/config.py index 704c6b44..4947caa4 100644 --- a/src/datasets_preview_backend/config.py +++ b/src/datasets_preview_backend/config.py @@ -14,0 +15 @@ from datasets_preview_backend.constants import ( + DEFAULT_MAX_SIZE_FALLBACK, @@ -52,0 +54 @@ os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION +MAX_SIZE_FALLBACK = get_int_value(os.environ, "MAX_SIZE_FALLBACK", DEFAULT_MAX_SIZE_FALLBACK) diff --git a/src/datasets_preview_backend/models/row.py b/src/datasets_preview_backend/models/row.py index f0c4c723..7dd688af 100644 --- a/src/datasets_preview_backend/models/row.py +++ b/src/datasets_preview_backend/models/row.py @@ -31 +31 @@ def get_rows( - streaming=True, + streaming=streaming, diff --git a/tests/models/test_split.py b/tests/models/test_split.py index 0a0cee9c..44a4895d 100644 --- a/tests/models/test_split.py +++ b/tests/models/test_split.py @@ -1 +1 @@ -from datasets_preview_backend.config import HF_TOKEN, ROWS_MAX_NUMBER +from datasets_preview_backend.config import HF_TOKEN, MAX_SIZE_FALLBACK, ROWS_MAX_NUMBER @@ -26,0 +27,17 @@ def test_gated() -> None: +def test_fallback() -> None: + # https://github.com/huggingface/datasets/issues/3185 + dataset_name = "samsum" + config_name = "samsum" + split_name = "train" + 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 + +
623606de608d72f77ad18d098a9bfc39fb3c7341
Sylvain Lesage
2022-04-12T08:15:54
Simplify cache by dropping two collections (#202)
diff --git a/.env.example b/.env.example index 6e289c41..cde82ffc 100644 --- a/.env.example +++ b/.env.example @@ -38,9 +37,0 @@ -# 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 - @@ -68,0 +60,9 @@ +# 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 + diff --git a/README.md b/README.md index aa60bf19..23593988 100644 --- a/README.md +++ b/README.md @@ -41,3 +40,0 @@ Set environment variables to configure the following aspects: -- `ROWS_MAX_BYTES`: max size of the /rows endpoint response in bytes. Defaults to `1_000_000` (1 MB). -- `ROWS_MAX_NUMBER`: max number of rows in the /rows endpoint response. Defaults to `100`. -- `ROWS_MIN_NUMBER`: min number of rows in the /rows endpoint response. Defaults to `10`. @@ -73,0 +71,2 @@ Also specify `MAX_SIZE_FALLBACK` with the maximum size in bytes of the dataset t +`ROWS_MIN_NUMBER` is the min number (defaults to `10`) and `ROWS_MAX_NUMBER` the max number (defaults to `100`) of rows fetched by the worker for the split, and provided in the /rows endpoint response. `ROWS_MAX_BYTES` is the max size of the /rows endpoint response in bytes. Defaults to `1_000_000` (1 MB). + diff --git a/src/datasets_preview_backend/config.py b/src/datasets_preview_backend/config.py index bba7fa3c..704c6b44 100644 --- a/src/datasets_preview_backend/config.py +++ b/src/datasets_preview_backend/config.py @@ -47,3 +46,0 @@ MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_U -ROWS_MAX_BYTES = get_int_value(d=os.environ, key="ROWS_MAX_BYTES", default=DEFAULT_ROWS_MAX_BYTES) -ROWS_MAX_NUMBER = get_int_value(d=os.environ, key="ROWS_MAX_NUMBER", default=DEFAULT_ROWS_MAX_NUMBER) -ROWS_MIN_NUMBER = get_int_value(d=os.environ, key="ROWS_MIN_NUMBER", default=DEFAULT_ROWS_MIN_NUMBER) @@ -53,0 +51,5 @@ os.environ["HF_SCRIPTS_VERSION"] = DATASETS_REVISION + +# for tests - to be removed +ROWS_MAX_BYTES = get_int_value(d=os.environ, key="ROWS_MAX_BYTES", default=DEFAULT_ROWS_MAX_BYTES) +ROWS_MAX_NUMBER = get_int_value(d=os.environ, key="ROWS_MAX_NUMBER", default=DEFAULT_ROWS_MAX_NUMBER) +ROWS_MIN_NUMBER = get_int_value(d=os.environ, key="ROWS_MIN_NUMBER", default=DEFAULT_ROWS_MIN_NUMBER) diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index f1a8c4b0..ac90a772 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -14,3 +13,0 @@ DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" -DEFAULT_ROWS_MAX_BYTES: int = 1_000_000 -DEFAULT_ROWS_MAX_NUMBER: int = 100 -DEFAULT_ROWS_MIN_NUMBER: int = 10 @@ -23,0 +21,3 @@ DEFAULT_MAX_SIZE_FALLBACK: int = 100_000_000 +DEFAULT_ROWS_MAX_BYTES: int = 1_000_000 +DEFAULT_ROWS_MAX_NUMBER: int = 100 +DEFAULT_ROWS_MIN_NUMBER: int = 10 diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 6c6441d2..3db895b1 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -3 +2,0 @@ import logging -import sys @@ -28,0 +28 @@ from mongoengine.queryset.queryset import QuerySet +from pymongo.errors import DocumentTooLarge @@ -31 +30,0 @@ from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_URL -from datasets_preview_backend.constants import DEFAULT_MIN_CELL_BYTES @@ -37,5 +35,0 @@ from datasets_preview_backend.exceptions import ( -from datasets_preview_backend.models.column import ( - ClassLabelColumn, - ColumnDict, - ColumnType, -) @@ -47 +40,0 @@ from datasets_preview_backend.models.split import Split, get_split -from datasets_preview_backend.utils import orjson_dumps @@ -104,0 +98,4 @@ class SplitsResponse(TypedDict): +def get_empty_rows_response() -> Dict[str, Any]: + return {"columns": [], "rows": []} + + @@ -111,0 +109 @@ class DbSplit(Document): + rows_response = DictField(required=True) @@ -115 +113 @@ class DbSplit(Document): - def to_item(self) -> SplitItem: + def to_split_item(self) -> SplitItem: @@ -131,80 +128,0 @@ class DbSplit(Document): -class RowItem(TypedDict): - dataset: str - config: str - split: str - row_idx: int - row: Dict[str, Any] - truncated_cells: List[str] - - -class DbRow(Document): - dataset_name = StringField(required=True, unique_with=["config_name", "split_name", "row_idx"]) - config_name = StringField(required=True) - split_name = StringField(required=True) - row_idx = IntField(required=True, min_value=0) - row = DictField(required=True) - status = EnumField(Status, default=Status.EMPTY) - since = DateTimeField(default=datetime.utcnow) - - def to_item(self) -> RowItem: - if self.status == Status.VALID: - return { - "dataset": self.dataset_name, - "config": self.config_name, - "split": self.split_name, - "row_idx": self.row_idx, - "row": self.row, - "truncated_cells": [], - } - else: - return { - "dataset": self.dataset_name, - "config": self.config_name, - "split": self.split_name, - "row_idx": self.row_idx, - "row": self.row, - "truncated_cells": list(self.row.keys()), - } - - meta = {"collection": "rows", "db_alias": "cache"} - objects = QuerySetManager["DbRow"]() - - -class ColumnItem(TypedDict): - dataset: str - config: str - split: str - column_idx: int - column: ColumnDict - - -class RowsResponse(TypedDict): - columns: List[ColumnItem] - rows: List[RowItem] - - -class DbColumn(Document): - dataset_name = StringField(required=True, unique_with=["config_name", "split_name", "name"]) - config_name = StringField(required=True) - split_name = StringField(required=True) - column_idx = IntField(required=True, min_value=0) - name = StringField(required=True) - type = EnumField(ColumnType, required=True) - labels = ListField(StringField()) - - def to_item(self) -> ColumnItem: - column: ColumnDict = {"name": self.name, "type": self.type.name} - if self.labels: - column["labels"] = self.labels - return { - "dataset": self.dataset_name, - "config": self.config_name, - "split": self.split_name, - "column_idx": self.column_idx, - "column": column, - } - - meta = {"collection": "columns", "db_alias": "cache"} - objects = QuerySetManager["DbColumn"]() - - @@ -272,2 +189,0 @@ def upsert_dataset_error(dataset_name: str, error: StatusError) -> None: - DbRow.objects(dataset_name=dataset_name).delete() - DbColumn.objects(dataset_name=dataset_name).delete() @@ -303,2 +218,0 @@ def upsert_split_error(dataset_name: str, config_name: str, split_name: str, err - DbRow.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - DbColumn.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() @@ -318,40 +232,17 @@ def upsert_split_error(dataset_name: str, config_name: str, split_name: str, err -def upsert_split(dataset_name: str, config_name: str, split_name: str, split: Split) -> None: - rows = split["rows"] - columns = split["columns"] - - 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"] - ) - DbSplitError.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - - DbRow.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - for row_idx, row in enumerate(rows): - try: - DbRow( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - row_idx=row_idx, - row=row, - status=Status.VALID, - ).save() - except Exception: - DbRow( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - row_idx=row_idx, - row={column_name: "" for column_name in row.keys()}, - # ^ truncated to empty string - status=Status.ERROR, - ).save() - - DbColumn.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - for column_idx, column in enumerate(columns): - db_column = DbColumn( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - column_idx=column_idx, - name=column.name, - type=column.type, +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) @@ -359,4 +249,0 @@ def upsert_split(dataset_name: str, config_name: str, split_name: str, split: Sp - # TODO: seems like suboptimal code, introducing unnecessary coupling - if isinstance(column, ClassLabelColumn): - db_column.labels = column.labels - db_column.save() @@ -368,2 +254,0 @@ def delete_dataset_cache(dataset_name: str) -> None: - DbRow.objects(dataset_name=dataset_name).delete() - DbColumn.objects(dataset_name=dataset_name).delete() @@ -377,2 +261,0 @@ def clean_database() -> None: - DbRow.drop_collection() # type: ignore - DbColumn.drop_collection() # type: ignore @@ -403,2 +285,0 @@ def delete_split(split_full_name: SplitFullName): - DbRow.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() - DbColumn.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).delete() @@ -406 +287 @@ def delete_split(split_full_name: SplitFullName): - # DbSplitError.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() @@ -419,0 +301 @@ def create_empty_split(split_full_name: SplitFullName, split_idx: int): + rows_response=get_empty_rows_response(), @@ -469,0 +352,3 @@ def refresh_split( + rows_max_bytes: Optional[int] = None, + rows_max_number: Optional[int] = None, + rows_min_number: Optional[int] = None, @@ -473 +358,8 @@ def refresh_split( - dataset_name, config_name, split_name, hf_token=hf_token, max_size_fallback=max_size_fallback + 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, @@ -528 +420,3 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], - "splits": [split.to_item() for split in DbSplit.objects(dataset_name=dataset_name).order_by("+split_idx")] + "splits": [ + split.to_split_item() for split in DbSplit.objects(dataset_name=dataset_name).order_by("+split_idx") + ] @@ -533,95 +426,0 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], -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: - 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): - 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}") - if rows_bytes < rows_max_bytes: - break - return row_items - - -def to_row_items( - rows: QuerySet[DbRow], rows_max_bytes: Optional[int], rows_min_number: Optional[int] -) -> 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 in rows[:rows_min_number]: - row_item = row.to_item() - 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_item = row.to_item() - 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 {rows_min_number + 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 - - @@ -632,3 +431 @@ def get_rows_response( - rows_max_bytes: Optional[int] = None, - rows_min_number: Optional[int] = None, -) -> Tuple[Union[RowsResponse, None], Union[ErrorItem, None], int]: +) -> Tuple[Union[Dict[str, Any], None], Union[ErrorItem, None], int]: @@ -652,15 +449 @@ def get_rows_response( - # TODO: if status is Status.STALLED, mention it in the response? - columns = DbColumn.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).order_by( - "+column_idx" - ) - # TODO: on some datasets, such as "edbeeching/decision_transformer_gym_replay", it takes a long time, and we - # truncate it anyway in to_row_items(). We might optimize here - rows = DbRow.objects(dataset_name=dataset_name, config_name=config_name, split_name=split_name).order_by( - "+row_idx" - ) - row_items = to_row_items(rows, rows_max_bytes, rows_min_number) - rows_response: RowsResponse = { - "columns": [column.to_item() for column in columns], - "rows": row_items, - } - return rows_response, None, 200 + return split.rows_response, None, 200 diff --git a/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py b/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py index 74241e5f..fe6f827f 100644 --- a/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py +++ b/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py @@ -3,2 +3 @@ from datetime import datetime -from datasets_preview_backend.io.cache import DbRow, Status, connect_to_cache -from datasets_preview_backend.io.migrations._utils import check_documents +from pymongo import MongoClient @@ -6,5 +5,2 @@ from datasets_preview_backend.io.migrations._utils import check_documents -# connect -connect_to_cache() - -# migrate -DbRow.objects().update(status=Status.VALID, since=datetime.utcnow) +from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_URL +from datasets_preview_backend.io.cache import Status @@ -11,0 +8,2 @@ DbRow.objects().update(status=Status.VALID, since=datetime.utcnow) +client = MongoClient(MONGO_URL) +db = client[MONGO_CACHE_DATABASE] @@ -13,4 +10,0 @@ DbRow.objects().update(status=Status.VALID, since=datetime.utcnow) -# validate -def custom_validation(row: DbRow) -> None: - if row.status != Status.VALID: - raise ValueError(f"row status should be '{Status.VALID}', got '{row.status}'") @@ -18,2 +12,3 @@ def custom_validation(row: DbRow) -> None: - -check_documents(DbRow, 100, custom_validation) +# migrate +rows_coll = db.rows +rows_coll.update_many({}, {"$set": {"status": Status.VALID.value, "since": datetime.utcnow}}) diff --git a/src/datasets_preview_backend/io/migrations/20220408_cache_remove_dbrow_dbcolumn.py b/src/datasets_preview_backend/io/migrations/20220408_cache_remove_dbrow_dbcolumn.py new file mode 100644 index 00000000..62625f7e --- /dev/null +++ b/src/datasets_preview_backend/io/migrations/20220408_cache_remove_dbrow_dbcolumn.py @@ -0,0 +1,168 @@ +import base64 +import sys +from enum import Enum, auto +from typing import Any, Dict, List, TypedDict + +import orjson +from pymongo import MongoClient + +from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_URL +from datasets_preview_backend.io.cache import Status + +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": {"$in": [Status.VALID.value, Status.STALLED.value]}}): + print(f"update split {split}") + columns = list( + columns_coll.find( + { + "dataset_name": split["dataset_name"], + "config_name": split["config_name"], + "split_name": split["split_name"], + } + ) + ) + print(f"found {len(columns)} columns") + rows = list( + rows_coll.find( + { + "dataset_name": split["dataset_name"], + "config_name": split["config_name"], + "split_name": split["split_name"], + } + ) + ) + print(f"found {len(rows)} rows") + column_items = [to_column_item(column) for column in sorted(columns, key=lambda d: d["column_idx"])] + row_items = truncate_row_items( + [to_row_item(row) for row in sorted(rows, key=lambda d: d["row_idx"])], rows_max_bytes + ) + rows_response = {"columns": column_items, "rows": row_items} + splits_coll.update_one({"_id": split["_id"]}, {"$set": {"rows_response": rows_response}}) + +# ^ fill the rows_response field, only for VALID and STALLED +db["rows"].drop() +db["columns"].drop() diff --git a/src/datasets_preview_backend/io/migrations/README.md b/src/datasets_preview_backend/io/migrations/README.md index fc32eb3a..7c810ccb 100644 --- a/src/datasets_preview_backend/io/migrations/README.md +++ b/src/datasets_preview_backend/io/migrations/README.md @@ -10,0 +11,6 @@ The commit, and the release, MUST always give the list of migration scripts that +Before apply the migration script, be sure to **backup** the database, in case of failure. + +```shell +mongodump --forceTableScan --uri=mongodb://localhost:27018 --archive=dump.bson +``` + @@ -14 +20,14 @@ To run a script, for example [20220406_cache_dbrow_status_and_since.py](./202204 -poetry run python src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py +poetry run python src/datasets_preview_backend/io/migrations/<YOUR_MIGRATION_FILE>.py +``` + +Then, validate with + +```shell +poetry run python src/datasets_preview_backend/io/migrations/validate.py +``` + +In case of **error**, restore the database, else remove the dump file + +```shell +# only in case of error! +mongorestore --drop --uri=mongodb://localhost:27018 --archive=dump.bson diff --git a/src/datasets_preview_backend/io/migrations/_utils.py b/src/datasets_preview_backend/io/migrations/_utils.py index 0e6786a8..898cc4e2 100644 --- a/src/datasets_preview_backend/io/migrations/_utils.py +++ b/src/datasets_preview_backend/io/migrations/_utils.py @@ -1 +1 @@ -from typing import Any, Callable, ClassVar, Iterator, List, Optional, Type, TypeVar +from typing import Callable, Iterator, List, Optional, Type, TypeVar @@ -12,5 +12 @@ class DocumentWithId(Document): -class ExtendedDocument(DocumentWithId): - objects: ClassVar[Callable[[Any], DocumentWithId]] - - -U = TypeVar("U", bound=ExtendedDocument) +U = TypeVar("U", bound=DocumentWithId) @@ -30 +26 @@ def get_random_documents(DocCls: DocumentClass, sample_size: int) -> Iterator[Do - return DocCls.objects(id__in=random_oids) + return DocCls.objects(id__in=random_oids) # type: ignore @@ -33 +29 @@ def get_random_documents(DocCls: DocumentClass, sample_size: int) -> Iterator[Do -def check_documents(DocCls: DocumentClass, sample_size: int, custom_validation: Optional[CustomValidation]): +def check_documents(DocCls: DocumentClass, sample_size: int, custom_validation: Optional[CustomValidation] = None): diff --git a/src/datasets_preview_backend/io/migrations/validate.py b/src/datasets_preview_backend/io/migrations/validate.py new file mode 100644 index 00000000..726f1ca9 --- /dev/null +++ b/src/datasets_preview_backend/io/migrations/validate.py @@ -0,0 +1,5 @@ +from datasets_preview_backend.io.cache import DbSplit, connect_to_cache +from datasets_preview_backend.io.migrations._utils import check_documents + +connect_to_cache() +check_documents(DbSplit, 100) diff --git a/src/datasets_preview_backend/models/row.py b/src/datasets_preview_backend/models/row.py index 5e9e5480..f0c4c723 100644 --- a/src/datasets_preview_backend/models/row.py +++ b/src/datasets_preview_backend/models/row.py @@ -7 +7 @@ from datasets import Dataset, DownloadMode, IterableDataset, load_dataset -from datasets_preview_backend.config import ROWS_MAX_NUMBER +from datasets_preview_backend.constants import DEFAULT_ROWS_MAX_NUMBER @@ -18 +18,6 @@ def get_rows( - dataset_name: str, config_name: str, split_name: str, hf_token: Optional[str] = None, streaming: bool = True + dataset_name: str, + config_name: str, + split_name: str, + hf_token: Optional[str] = None, + streaming: bool = True, + rows_max_number: Optional[int] = None, @@ -19,0 +25,2 @@ def get_rows( + if rows_max_number is None: + rows_max_number = DEFAULT_ROWS_MAX_NUMBER @@ -33 +40 @@ def get_rows( - rows_plus_one = list(itertools.islice(dataset, ROWS_MAX_NUMBER + 1)) + rows_plus_one = list(itertools.islice(dataset, rows_max_number + 1)) @@ -35 +42 @@ def get_rows( - if len(rows_plus_one) <= ROWS_MAX_NUMBER: + if len(rows_plus_one) <= rows_max_number: @@ -38,2 +45,2 @@ def get_rows( - logger.debug(f"the rows in the split have been truncated ({ROWS_MAX_NUMBER} rows)") - return rows_plus_one[:ROWS_MAX_NUMBER] + 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/src/datasets_preview_backend/models/split.py b/src/datasets_preview_backend/models/split.py index 840ffb34..237c7a96 100644 --- a/src/datasets_preview_backend/models/split.py +++ b/src/datasets_preview_backend/models/split.py @@ -2 +2,2 @@ import logging -from typing import List, Optional, TypedDict +import sys +from typing import Any, Dict, List, Optional, TypedDict @@ -3,0 +5 @@ from typing import List, Optional, TypedDict +from datasets_preview_backend.constants import DEFAULT_MIN_CELL_BYTES @@ -5 +7 @@ from datasets_preview_backend.models._guard import guard_blocked_datasets -from datasets_preview_backend.models.column import Column +from datasets_preview_backend.models.column import Column, ColumnDict @@ -8,0 +11 @@ from datasets_preview_backend.models.typed_row import get_typed_rows_and_columns +from datasets_preview_backend.utils import orjson_dumps @@ -12,0 +16,22 @@ logger = logging.getLogger(__name__) +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] + + @@ -15,2 +40 @@ class Split(TypedDict): - rows: List[Row] - columns: List[Column] + rows_response: RowsResponse @@ -20,0 +45,124 @@ class Split(TypedDict): +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: + 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 + 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 + + @@ -26,0 +175,3 @@ def get_split( + rows_max_bytes: Optional[int] = None, + rows_max_number: Optional[int] = None, + rows_min_number: Optional[int] = None, @@ -34 +185,13 @@ def get_split( - typed_rows, columns = get_typed_rows_and_columns(dataset_name, config_name, split_name, info, hf_token, fallback) + typed_rows, columns = get_typed_rows_and_columns( + dataset_name, config_name, split_name, info, hf_token, fallback, rows_max_number + ) + 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, + } @@ -45,2 +208 @@ def get_split( - "rows": typed_rows, - "columns": columns, + "rows_response": rows_response, diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index c0f0fae1..4dfe5efb 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -38,0 +39 @@ def get_typed_rows_and_columns( + rows_max_number: Optional[int] = None, @@ -42 +43 @@ def get_typed_rows_and_columns( - rows = get_rows(dataset_name, config_name, split_name, hf_token, streaming=True) + rows = get_rows(dataset_name, config_name, split_name, hf_token, True, rows_max_number) @@ -45 +46 @@ def get_typed_rows_and_columns( - rows = get_rows(dataset_name, config_name, split_name, hf_token, streaming=False) + rows = get_rows(dataset_name, config_name, split_name, hf_token, False, rows_max_number) diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index 33180cac..a7dfaf79 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -6,5 +6 @@ from starlette.responses import Response -from datasets_preview_backend.config import ( - MAX_AGE_LONG_SECONDS, - ROWS_MAX_BYTES, - ROWS_MIN_NUMBER, -) +from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS @@ -37,3 +33 @@ async def rows_endpoint(request: Request) -> Response: - rows_response, rows_error, status_code = get_rows_response( - dataset_name, config_name, split_name, ROWS_MAX_BYTES, ROWS_MIN_NUMBER - ) + rows_response, rows_error, status_code = get_rows_response(dataset_name, config_name, split_name) diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index d7b401fd..b8a59a55 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -15,0 +16,3 @@ from datasets_preview_backend.constants import ( + DEFAULT_ROWS_MAX_BYTES, + DEFAULT_ROWS_MAX_NUMBER, + DEFAULT_ROWS_MIN_NUMBER, @@ -48,0 +52,3 @@ max_size_fallback = get_int_value(os.environ, "MAX_SIZE_FALLBACK", DEFAULT_MAX_S +rows_max_bytes = get_int_value(os.environ, "ROWS_MAX_BYTES", DEFAULT_ROWS_MAX_BYTES) +rows_max_number = get_int_value(os.environ, "ROWS_MAX_NUMBER", DEFAULT_ROWS_MAX_NUMBER) +rows_min_number = get_int_value(os.environ, "ROWS_MIN_NUMBER", DEFAULT_ROWS_MIN_NUMBER) @@ -49,0 +56 @@ worker_queue = get_str_value(os.environ, "WORKER_QUEUE", DEFAULT_WORKER_QUEUE) + @@ -107,0 +115,3 @@ def process_next_split_job() -> bool: + rows_max_bytes=rows_max_bytes, + rows_max_number=rows_max_number, + rows_min_number=rows_min_number, diff --git a/tests/io/test_cache.py b/tests/io/test_cache.py index a47fee58..a84ac310 100644 --- a/tests/io/test_cache.py +++ b/tests/io/test_cache.py @@ -19 +19 @@ from datasets_preview_backend.models.dataset import get_dataset_split_full_names -from datasets_preview_backend.models.split import Split +from datasets_preview_backend.models.split import RowItem, Split @@ -116 +116,8 @@ def test_big_row() -> None: - big_row = {"col": "a" * 100_000_000} + big_row: RowItem = { + "dataset": dataset_name, + "config": config_name, + "split": split_name, + "row_idx": 0, + "row": {"col": "a" * 100_000_000}, + "truncated_cells": [], + } @@ -119,2 +126 @@ def test_big_row() -> None: - "rows": [big_row], - "columns": [], + "rows_response": {"rows": [big_row], "columns": []}, @@ -126,5 +132,5 @@ def test_big_row() -> None: - assert status_code == 200 - assert error is None - assert rows_response is not None - assert rows_response["rows"][0]["row"]["col"] == "" - assert rows_response["rows"][0]["truncated_cells"] == ["col"] + 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" diff --git a/tests/models/test_row.py b/tests/models/test_row.py index 3b6e5736..0f885a31 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -9 +9 @@ def test_get_rows() -> None: - rows = get_rows("acronym_identification", "default", "train") + rows = get_rows("acronym_identification", "default", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -15 +15 @@ def test_class_label() -> None: - rows = get_rows("glue", "cola", "train") + rows = get_rows("glue", "cola", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -20 +20 @@ def test_mnist() -> None: - rows = get_rows("mnist", "mnist", "train") + rows = get_rows("mnist", "mnist", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -26 +26 @@ def test_cifar() -> None: - rows = get_rows("cifar10", "plain_text", "train") + rows = get_rows("cifar10", "plain_text", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -32 +32 @@ def test_iter_archive() -> None: - rows = get_rows("food101", "default", "train") + rows = get_rows("food101", "default", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -39 +39 @@ def test_dl_1_suffix() -> None: - rows = get_rows("discovery", "discovery", "train") + rows = get_rows("discovery", "discovery", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -45 +45 @@ def test_txt_zip() -> None: - rows = get_rows("bianet", "en_to_ku", "train") + rows = get_rows("bianet", "en_to_ku", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -51 +51 @@ def test_pathlib() -> None: - rows = get_rows("counter", "counter", "train") + rows = get_rows("counter", "counter", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -56 +56 @@ def test_community_with_no_config() -> None: - rows = get_rows("Check/region_1", "Check--region_1", "train") + rows = get_rows("Check/region_1", "Check--region_1", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -60 +59,0 @@ def test_community_with_no_config() -> None: - get_rows("Check/region_1", "Check--region_1", "train") @@ -64 +63 @@ def test_audio_dataset() -> None: - rows = get_rows("abidlabs/test-audio-1", "test", "train") + rows = get_rows("abidlabs/test-audio-1", "test", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -71 +70 @@ def test_libsndfile() -> None: - rows = get_rows("polinaeterna/ml_spoken_words", "ar_opus", "train") + rows = get_rows("polinaeterna/ml_spoken_words", "ar_opus", "train", rows_max_number=ROWS_MAX_NUMBER) @@ -75 +74 @@ def test_libsndfile() -> None: - rows = get_rows("polinaeterna/ml_spoken_words", "ar_wav", "train") + rows = get_rows("polinaeterna/ml_spoken_words", "ar_wav", "train", rows_max_number=ROWS_MAX_NUMBER) diff --git a/tests/models/test_split.py b/tests/models/test_split.py index 7f0c5f72..0a0cee9c 100644 --- a/tests/models/test_split.py +++ b/tests/models/test_split.py @@ -21 +21 @@ def test_gated() -> None: - split = get_split(dataset_name, config_name, split_name, HF_TOKEN) + split = get_split(dataset_name, config_name, split_name, HF_TOKEN, rows_max_number=ROWS_MAX_NUMBER) @@ -23,2 +23,5 @@ def test_gated() -> None: - assert len(split["rows"]) == ROWS_MAX_NUMBER - assert split["rows"][0]["year"] == "1855" + assert len(split["rows_response"]["rows"]) == ROWS_MAX_NUMBER + assert split["rows_response"]["rows"][0]["row"]["year"] == "1855" + + +# TODO: test the truncation diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index d1ce733f..f23e25d1 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -6,0 +7 @@ from datasets_preview_backend.models.typed_row import get_typed_rows_and_columns +# TODO: this is slow: change the tested dataset? @@ -9 +10,3 @@ def test_detect_types_from_typed_rows() -> None: - typed_rows, columns = get_typed_rows_and_columns("allenai/c4", "allenai--c4", "train", info) + typed_rows, columns = get_typed_rows_and_columns( + "allenai/c4", "allenai--c4", "train", info, rows_max_number=ROWS_MAX_NUMBER + ) @@ -16 +19 @@ def test_class_label() -> None: - typed_rows, columns = get_typed_rows_and_columns("glue", "cola", "train", info) + typed_rows, columns = get_typed_rows_and_columns("glue", "cola", "train", info, rows_max_number=ROWS_MAX_NUMBER) @@ -26 +29 @@ def test_mnist() -> None: - typed_rows, columns = get_typed_rows_and_columns("mnist", "mnist", "train", info) + typed_rows, columns = get_typed_rows_and_columns("mnist", "mnist", "train", info, rows_max_number=ROWS_MAX_NUMBER) @@ -34 +37,3 @@ def test_cifar() -> None: - typed_rows, columns = get_typed_rows_and_columns("cifar10", "plain_text", "train", info) + typed_rows, columns = get_typed_rows_and_columns( + "cifar10", "plain_text", "train", info, rows_max_number=ROWS_MAX_NUMBER + ) @@ -42 +47 @@ def test_head_qa() -> None: - typed_rows, columns = get_typed_rows_and_columns("head_qa", "es", "train", info) + typed_rows, columns = get_typed_rows_and_columns("head_qa", "es", "train", info, rows_max_number=ROWS_MAX_NUMBER) @@ -51 +56,3 @@ def test_iter_archive() -> None: - typed_rows, columns = get_typed_rows_and_columns("food101", "default", "train", info) + typed_rows, columns = get_typed_rows_and_columns( + "food101", "default", "train", info, rows_max_number=ROWS_MAX_NUMBER + ) @@ -58 +65,3 @@ def test_image_url() -> None: - typed_rows, columns = get_typed_rows_and_columns("severo/wit", "default", "train", info) + typed_rows, columns = get_typed_rows_and_columns( + "severo/wit", "default", "train", info, rows_max_number=ROWS_MAX_NUMBER + ) @@ -65 +74,3 @@ def test_audio_dataset() -> None: - typed_rows, columns = get_typed_rows_and_columns("abidlabs/test-audio-1", "test", "train", info) + typed_rows, columns = get_typed_rows_and_columns( + "abidlabs/test-audio-1", "test", "train", info, rows_max_number=ROWS_MAX_NUMBER + ) diff --git a/tests/test_app.py b/tests/test_app.py index 1e7e0a7a..720ac3a8 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -5 +5,7 @@ from datasets_preview_backend.app import create_app -from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE +from datasets_preview_backend.config import ( + MONGO_CACHE_DATABASE, + MONGO_QUEUE_DATABASE, + ROWS_MAX_BYTES, + ROWS_MAX_NUMBER, + ROWS_MIN_NUMBER, +) @@ -88 +94,8 @@ def test_get_is_valid(client: TestClient) -> None: - refresh_split(split_full_name["dataset_name"], split_full_name["config_name"], split_full_name["split_name"]) + 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, + ) @@ -157 +170,8 @@ def test_get_rows(client: TestClient) -> None: - refresh_split(dataset, config, split) + refresh_split( + dataset, + config, + split, + rows_max_bytes=ROWS_MAX_BYTES, + rows_max_number=ROWS_MAX_NUMBER, + rows_min_number=ROWS_MIN_NUMBER, + ) @@ -198 +218,8 @@ def test_datetime_content(client: TestClient) -> None: - refresh_split(dataset, config, split) + refresh_split( + dataset, + config, + split, + rows_max_bytes=ROWS_MAX_BYTES, + rows_max_number=ROWS_MAX_NUMBER, + rows_min_number=ROWS_MIN_NUMBER, + ) @@ -208 +235,8 @@ def test_bytes_limit(client: TestClient) -> None: - refresh_split(dataset, config, split) + refresh_split( + dataset, + config, + split, + rows_max_bytes=ROWS_MAX_BYTES, + rows_max_number=ROWS_MAX_NUMBER, + rows_min_number=ROWS_MIN_NUMBER, + ) @@ -299 +333,8 @@ def test_error_messages(client: TestClient) -> None: - refresh_split(dataset_name=dataset, config_name=config, split_name=split) + 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, + )
a3431ef1e3aefeb5f7f83c5a47a9c816f2c6ce8b
Sylvain Lesage
2022-04-07T08:11:13
[BREAKING] fix: 🐛 quick fix to avoid mongodb errors with big rows (#201)
diff --git a/INSTALL.md b/INSTALL.md index e2d27c89..97cdaf02 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -46,0 +47,6 @@ vi .env +Apply the database migrations (see [src/datasets_preview_backend/io/migrations/README.md](./src/datasets_preview_backend/io/migrations/README.md)) if any + +``` +# see https://github.com/huggingface/datasets-preview-backend/blob/main/src/datasets_preview_backend/io/migrations/README.md +``` + diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index f18a886f..6c6441d2 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -145,0 +146,2 @@ class DbRow(Document): + status = EnumField(Status, default=Status.EMPTY) + since = DateTimeField(default=datetime.utcnow) @@ -148,8 +150,18 @@ class DbRow(Document): - return { - "dataset": self.dataset_name, - "config": self.config_name, - "split": self.split_name, - "row_idx": self.row_idx, - "row": self.row, - "truncated_cells": [], - } + if self.status == Status.VALID: + return { + "dataset": self.dataset_name, + "config": self.config_name, + "split": self.split_name, + "row_idx": self.row_idx, + "row": self.row, + "truncated_cells": [], + } + else: + return { + "dataset": self.dataset_name, + "config": self.config_name, + "split": self.split_name, + "row_idx": self.row_idx, + "row": self.row, + "truncated_cells": list(self.row.keys()), + } @@ -317,7 +329,19 @@ def upsert_split(dataset_name: str, config_name: str, split_name: str, split: Sp - DbRow( - dataset_name=dataset_name, - config_name=config_name, - split_name=split_name, - row_idx=row_idx, - row=row, - ).save() + try: + DbRow( + dataset_name=dataset_name, + config_name=config_name, + split_name=split_name, + row_idx=row_idx, + row=row, + status=Status.VALID, + ).save() + except Exception: + DbRow( + dataset_name=dataset_name, + config_name=config_name, + split_name=split_name, + row_idx=row_idx, + row={column_name: "" for column_name in row.keys()}, + # ^ truncated to empty string + status=Status.ERROR, + ).save() diff --git a/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py b/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py new file mode 100644 index 00000000..74241e5f --- /dev/null +++ b/src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py @@ -0,0 +1,19 @@ +from datetime import datetime + +from datasets_preview_backend.io.cache import DbRow, Status, connect_to_cache +from datasets_preview_backend.io.migrations._utils import check_documents + +# connect +connect_to_cache() + +# migrate +DbRow.objects().update(status=Status.VALID, since=datetime.utcnow) + + +# validate +def custom_validation(row: DbRow) -> None: + if row.status != Status.VALID: + raise ValueError(f"row status should be '{Status.VALID}', got '{row.status}'") + + +check_documents(DbRow, 100, custom_validation) diff --git a/src/datasets_preview_backend/io/migrations/README.md b/src/datasets_preview_backend/io/migrations/README.md new file mode 100644 index 00000000..fc32eb3a --- /dev/null +++ b/src/datasets_preview_backend/io/migrations/README.md @@ -0,0 +1,23 @@ +# MongoDB migrations + +The cache and the queue are stored in two MongoDB databases. They are defined by the env vars: `MONGO_CACHE_DATABASE` and `MONGO_CACHE_DATABASE`, see the [README](../../../../README.md). + +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. + +To run a script, for example [20220406_cache_dbrow_status_and_since.py](./20220406_cache_dbrow_status_and_since.py): + +```shell +poetry run python src/datasets_preview_backend/io/migrations/20220406_cache_dbrow_status_and_since.py +``` + +## 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/src/datasets_preview_backend/io/migrations/__init__.py b/src/datasets_preview_backend/io/migrations/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/src/datasets_preview_backend/io/migrations/_utils.py b/src/datasets_preview_backend/io/migrations/_utils.py new file mode 100644 index 00000000..0e6786a8 --- /dev/null +++ b/src/datasets_preview_backend/io/migrations/_utils.py @@ -0,0 +1,50 @@ +from typing import Any, Callable, ClassVar, Iterator, List, Optional, Type, TypeVar + +from mongoengine import Document +from pymongo.collection import Collection + + +# --- some typing subtleties, see https://github.com/sbdchd/mongo-types +class DocumentWithId(Document): + id: str + + +class ExtendedDocument(DocumentWithId): + objects: ClassVar[Callable[[Any], DocumentWithId]] + + +U = TypeVar("U", bound=ExtendedDocument) +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) + + +def check_documents(DocCls: DocumentClass, sample_size: int, custom_validation: Optional[CustomValidation]): + 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/tests/io/test_cache.py b/tests/io/test_cache.py index f8164a4c..a47fee58 100644 --- a/tests/io/test_cache.py +++ b/tests/io/test_cache.py @@ -15,0 +16 @@ from datasets_preview_backend.io.cache import ( + upsert_split, @@ -17,0 +19 @@ from datasets_preview_backend.models.dataset import get_dataset_split_full_names +from datasets_preview_backend.models.split import Split @@ -106,0 +109,22 @@ def test_column_order() -> None: + + +def test_big_row() -> None: + # https://github.com/huggingface/datasets-preview-backend/issues/197 + dataset_name = "test_dataset" + config_name = "test_config" + split_name = "test_split" + big_row = {"col": "a" * 100_000_000} + split: Split = { + "split_name": split_name, + "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 == 200 + assert error is None + assert rows_response is not None + assert rows_response["rows"][0]["row"]["col"] == "" + assert rows_response["rows"][0]["truncated_cells"] == ["col"]
2537d9f15467e57a68e08f6e7b04c12a825fb984
Sylvain Lesage
2022-04-05T17:17:27
Fix detection of pending jobs (#198)
diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 71104869..f18a886f 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -277 +277,5 @@ def upsert_dataset(dataset_name: str, new_split_full_names: List[SplitFullName]) - current_split_full_names = [o.to_split_full_name() for o in DbSplit.objects(dataset_name=dataset_name)] + 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 + ] @@ -279,4 +283,2 @@ def upsert_dataset(dataset_name: str, new_split_full_names: List[SplitFullName]) - for split_full_name in current_split_full_names: - if split_full_name not in new_split_full_names: - # delete the splits that disappeared - delete_split(split_full_name) + for split_full_name in split_full_names_to_delete: + delete_split(split_full_name) @@ -285,6 +287 @@ def upsert_dataset(dataset_name: str, new_split_full_names: List[SplitFullName]) - if split_full_name not in current_split_full_names: - # create the new empty splits - create_split(split_full_name, split_idx) - else: - # mark all the existing splits as stalled - mark_split_as_stalled(split_full_name, split_idx) + create_or_mark_split_as_stalled(split_full_name, split_idx) @@ -349,0 +347 @@ def delete_dataset_cache(dataset_name: str) -> None: + DbSplitError.objects(dataset_name=dataset_name).delete() @@ -357,0 +356 @@ def clean_database() -> None: + DbSplitError.drop_collection() # type: ignore @@ -387 +386 @@ def delete_split(split_full_name: SplitFullName): -def create_split(split_full_name: SplitFullName, split_idx: int): +def create_empty_split(split_full_name: SplitFullName, split_idx: int): @@ -398 +397,31 @@ def create_split(split_full_name: SplitFullName, split_idx: int): - logger.debug(f"dataset '{dataset_name}': created split {split_name} in config {config_name}") + 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_stalled(dataset_name: str): + try: + DbDataset.objects(dataset_name=dataset_name).get() + mark_dataset_as_stalled(dataset_name) + except DoesNotExist: + create_empty_dataset(dataset_name) + + +def mark_dataset_as_stalled(dataset_name: str): + DbDataset.objects(dataset_name=dataset_name).update(status=Status.STALLED) + logger.debug(f"marked dataset '{dataset_name}' as stalled") + + +def create_or_mark_split_as_stalled(split_full_name: SplitFullName, split_idx: int): + try: + DbSplit.objects( + dataset_name=split_full_name["dataset_name"], + config_name=split_full_name["config_name"], + split_name=split_full_name["split_name"], + ).get() + mark_split_as_stalled(split_full_name, split_idx) + except DoesNotExist: + create_empty_split(split_full_name, split_idx) @@ -463 +492 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], - raise Status400Error("Not found. The dataset does not exist.") from e + raise Status400Error("The dataset does not exist.") from e @@ -468,2 +497 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], - raise Status400Error("Not found. Cache is waiting to be refreshed.") - # ^ should not occur with the current logic + raise Status400Error("The dataset cache is empty.") @@ -586 +614 @@ def get_rows_response( - raise Status400Error("Not found. The split does not exist.", e) from e + raise Status400Error("The split does not exist.", e) from e @@ -591 +619 @@ def get_rows_response( - raise Status400Error("Not found. Cache is waiting to be refreshed.") + raise Status400Error("The split cache is empty.") diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index 706c9185..33180cac 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -11 +11,5 @@ from datasets_preview_backend.config import ( -from datasets_preview_backend.exceptions import Status400Error, StatusError +from datasets_preview_backend.exceptions import ( + Status400Error, + Status500Error, + StatusError, +) @@ -13 +17 @@ from datasets_preview_backend.io.cache import get_rows_response -from datasets_preview_backend.io.queue import is_split_in_queue +from datasets_preview_backend.io.queue import is_dataset_in_queue, is_split_in_queue @@ -38,3 +42,5 @@ async def rows_endpoint(request: Request) -> Response: - if err.message == "Not found. The split does not exist." and is_split_in_queue( - dataset_name, config_name, split_name - ): + if err.message == "The split does not exist." and is_dataset_in_queue(dataset_name): + raise Status400Error("The dataset is being processed. Retry later.", err) from err + if err.message != "The split cache is empty.": + raise err + if is_split_in_queue(dataset_name, config_name, split_name): @@ -43 +49 @@ async def rows_endpoint(request: Request) -> Response: - raise err + raise Status500Error("The split cache is empty but no job has been launched.", err) from err diff --git a/src/datasets_preview_backend/routes/splits.py b/src/datasets_preview_backend/routes/splits.py index f03b4ecf..5d36f8b6 100644 --- a/src/datasets_preview_backend/routes/splits.py +++ b/src/datasets_preview_backend/routes/splits.py @@ -7 +7,5 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import Status400Error, StatusError +from datasets_preview_backend.exceptions import ( + Status400Error, + Status500Error, + StatusError, +) @@ -26 +30,3 @@ async def splits_endpoint(request: Request) -> Response: - if err.message == "Not found. The dataset does not exist." and is_dataset_in_queue(dataset_name): + if err.message != "The dataset cache is empty.": + raise err + if is_dataset_in_queue(dataset_name): @@ -29 +35 @@ async def splits_endpoint(request: Request) -> Response: - raise err + raise Status500Error("The dataset cache is empty but no job has been launched.", err) from err diff --git a/src/datasets_preview_backend/routes/webhook.py b/src/datasets_preview_backend/routes/webhook.py index 549f6782..f348b006 100644 --- a/src/datasets_preview_backend/routes/webhook.py +++ b/src/datasets_preview_backend/routes/webhook.py @@ -7 +7,4 @@ from starlette.responses import Response -from datasets_preview_backend.io.cache import delete_dataset_cache +from datasets_preview_backend.io.cache import ( + create_or_mark_dataset_as_stalled, + delete_dataset_cache, +) @@ -49,0 +53 @@ def try_to_update(id: Optional[str]) -> None: + create_or_mark_dataset_as_stalled(dataset_name) diff --git a/tests/io/test_queue.py b/tests/io/test_queue.py index 30c82ad1..50b1a2e3 100644 --- a/tests/io/test_queue.py +++ b/tests/io/test_queue.py @@ -6,0 +7 @@ from datasets_preview_backend.io.queue import ( + add_split_job, @@ -10,0 +12,2 @@ from datasets_preview_backend.io.queue import ( + is_dataset_in_queue, + is_split_in_queue, @@ -46,0 +50,20 @@ def test_add_job() -> None: + + +def test_is_dataset_in_queue() -> None: + dataset_name = "test_dataset" + dataset_name_2 = "test_dataset_2" + assert is_dataset_in_queue(dataset_name) is False + add_dataset_job(dataset_name) + assert is_dataset_in_queue(dataset_name) is True + assert is_dataset_in_queue(dataset_name_2) is False + + +def test_is_split_in_queue() -> None: + dataset_name = "test_dataset" + config_name = "test_config" + split_name = "test_split" + dataset_name_2 = "test_dataset_2" + assert is_split_in_queue(dataset_name, config_name, split_name) is False + add_split_job(dataset_name, config_name, split_name) + assert is_split_in_queue(dataset_name, config_name, split_name) is True + assert is_split_in_queue(dataset_name_2, config_name, split_name) is False diff --git a/tests/models/test_row.py b/tests/models/test_row.py index 2d594513..3b6e5736 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -71 +71 @@ def test_libsndfile() -> None: - rows = get_rows("polinaeterna/ml_spoken_words", "ar", "train") + rows = get_rows("polinaeterna/ml_spoken_words", "ar_opus", "train") @@ -73,0 +74,4 @@ def test_libsndfile() -> None: + + rows = get_rows("polinaeterna/ml_spoken_words", "ar_wav", "train") + assert len(rows) == ROWS_MAX_NUMBER + assert rows[0]["audio"]["sampling_rate"] == 16000 diff --git a/tests/test_app.py b/tests/test_app.py index 0f7834dd..1e7e0a7a 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -8,0 +9,2 @@ from datasets_preview_backend.io.cache import ( + create_or_mark_dataset_as_stalled, + create_or_mark_split_as_stalled, @@ -13,0 +16,5 @@ from datasets_preview_backend.io.queue import clean_database as clean_queue_data +from datasets_preview_backend.io.queue import ( + finish_dataset_job, + finish_split_job, + get_dataset_job, +) @@ -209 +216 @@ def test_bytes_limit(client: TestClient) -> None: -def test_cache_refreshing(client: TestClient) -> None: +def test_dataset_cache_refreshing(client: TestClient) -> None: @@ -212 +219 @@ def test_cache_refreshing(client: TestClient) -> None: - assert response.json()["message"] == "Not found. The dataset does not exist." + assert response.json()["message"] == "The dataset does not exist." @@ -213,0 +221 @@ def test_cache_refreshing(client: TestClient) -> None: + create_or_mark_dataset_as_stalled(dataset) @@ -216,0 +225,3 @@ def test_cache_refreshing(client: TestClient) -> None: + +def test_split_cache_refreshing(client: TestClient) -> None: + dataset = "acronym_identification" @@ -220 +231 @@ def test_cache_refreshing(client: TestClient) -> None: - assert response.json()["message"] == "Not found. The split does not exist." + assert response.json()["message"] == "The split does not exist." @@ -221,0 +233 @@ def test_cache_refreshing(client: TestClient) -> None: + create_or_mark_split_as_stalled({"dataset_name": dataset, "config_name": config, "split_name": split}, 0) @@ -223,0 +236,74 @@ def test_cache_refreshing(client: TestClient) -> None: + + +def test_error_messages(client: TestClient) -> None: + # https://github.com/huggingface/datasets-preview-backend/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) + 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
a77eecca77e2f059ad246aad26fbcb5299ec0a2a
Sylvain Lesage
2022-04-04T17:41:37
feat: 🎸 install libsndfile 1.0.30 and support opus files (#195)
diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index 6b64dcfb..01c55781 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -24 +24,15 @@ jobs: - run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm + run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra llvm + - name: Install libsndfile + 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; diff --git a/INSTALL.md b/INSTALL.md index d91b3781..e2d27c89 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -89 +89,18 @@ Install packages, logged as `hf`: -sudo apt install python-is-python3 make nginx libicu-dev ffmpeg libavcodec-extra libsndfile1 +sudo apt install python-is-python3 make nginx libicu-dev ffmpeg libavcodec-extra +``` + +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 diff --git a/tests/models/test_row.py b/tests/models/test_row.py index 2a664e39..2d594513 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -66,0 +67,7 @@ def test_audio_dataset() -> None: + + +def test_libsndfile() -> None: + # see https://github.com/huggingface/datasets-preview-backend/issues/194 + rows = get_rows("polinaeterna/ml_spoken_words", "ar", "train") + assert len(rows) == ROWS_MAX_NUMBER + assert rows[0]["audio"]["sampling_rate"] == 48000
4a9bf7aaef0e1f04d26795116c0c715632f92118
Sylvain Lesage
2022-04-04T16:17:15
give reason in error if dataset/split cache is refreshing (#193)
diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 73378f9b..71104869 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -463 +463 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], - raise Status400Error("Not found. Maybe the cache is missing, or maybe the dataset does not exist.") from e + raise Status400Error("Not found. The dataset does not exist.") from e @@ -586 +586 @@ def get_rows_response( - raise Status400Error("Not found. Maybe the cache is missing, or maybe the split does not exist.", e) from e + raise Status400Error("Not found. The split does not exist.", e) from e diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index 6200cf96..ac7ecc25 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -344,0 +345,16 @@ def get_split_dump_by_status(waiting_started: bool = False) -> DumpByStatus: + + +def is_dataset_in_queue(dataset_name: str) -> bool: + return DatasetJob.objects(status__in=[Status.WAITING, Status.STARTED], dataset_name=dataset_name).count() > 0 + + +def is_split_in_queue(dataset_name: str, config_name: str, split_name: str) -> bool: + return ( + SplitJob.objects( + status__in=[Status.WAITING, Status.STARTED], + dataset_name=dataset_name, + config_name=config_name, + split_name=split_name, + ).count() + > 0 + ) diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index c006e5bb..706c9185 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -11 +11 @@ from datasets_preview_backend.config import ( -from datasets_preview_backend.exceptions import StatusError +from datasets_preview_backend.exceptions import Status400Error, StatusError @@ -12,0 +13 @@ from datasets_preview_backend.io.cache import get_rows_response +from datasets_preview_backend.io.queue import is_split_in_queue @@ -25,6 +26,18 @@ async def rows_endpoint(request: Request) -> Response: - if not isinstance(dataset_name, str) or not isinstance(config_name, str) or not isinstance(split_name, str): - raise StatusError("Parameters 'dataset', 'config' and 'split' are required", 400) - rows_response, rows_error, status_code = get_rows_response( - dataset_name, config_name, split_name, ROWS_MAX_BYTES, ROWS_MIN_NUMBER - ) - return get_response(rows_response or rows_error, status_code, MAX_AGE_LONG_SECONDS) + try: + if ( + not isinstance(dataset_name, str) + or not isinstance(config_name, str) + or not isinstance(split_name, str) + ): + raise StatusError("Parameters 'dataset', 'config' and 'split' are required", 400) + rows_response, rows_error, status_code = get_rows_response( + dataset_name, config_name, split_name, ROWS_MAX_BYTES, ROWS_MIN_NUMBER + ) + return get_response(rows_response or rows_error, status_code, MAX_AGE_LONG_SECONDS) + except StatusError as err: + if err.message == "Not found. The split does not exist." and is_split_in_queue( + dataset_name, config_name, split_name + ): + raise Status400Error("The split is being processed. Retry later.", err) from err + else: + raise err diff --git a/src/datasets_preview_backend/routes/splits.py b/src/datasets_preview_backend/routes/splits.py index 144beb71..f03b4ecf 100644 --- a/src/datasets_preview_backend/routes/splits.py +++ b/src/datasets_preview_backend/routes/splits.py @@ -8,0 +9 @@ from datasets_preview_backend.io.cache import get_splits_response +from datasets_preview_backend.io.queue import is_dataset_in_queue @@ -19,4 +20,10 @@ 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) + try: + 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: + if err.message == "Not found. The dataset does not exist." and is_dataset_in_queue(dataset_name): + raise Status400Error("The dataset is being processed. Retry later.", err) from err + else: + raise err diff --git a/tests/test_app.py b/tests/test_app.py index 7ac424a7..0f7834dd 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -5 +5 @@ from datasets_preview_backend.app import create_app -from datasets_preview_backend.config import MONGO_CACHE_DATABASE +from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_QUEUE_DATABASE @@ -6,0 +7 @@ from datasets_preview_backend.exceptions import Status400Error +from datasets_preview_backend.io.cache import clean_database as clean_cache_database @@ -8 +8,0 @@ from datasets_preview_backend.io.cache import ( - clean_database, @@ -11,0 +12,2 @@ from datasets_preview_backend.io.cache import ( +from datasets_preview_backend.io.queue import add_dataset_job, add_split_job +from datasets_preview_backend.io.queue import clean_database as clean_queue_database @@ -17 +19,3 @@ def safe_guard() -> None: - raise Exception("Test must be launched on a test mongo database") + raise Exception("Tests on cache must be launched on a test mongo database") + if "test" not in MONGO_QUEUE_DATABASE: + raise Exception("Tests on queue must be launched on a test mongo database") @@ -26,2 +30,3 @@ def client() -> TestClient: -def clean_mongo_database() -> None: - clean_database() +def clean_mongo_databases() -> None: + clean_cache_database() + clean_queue_database() @@ -201,0 +207,17 @@ def test_bytes_limit(client: TestClient) -> None: + + +def test_cache_refreshing(client: TestClient) -> None: + dataset = "acronym_identification" + response = client.get("/splits", params={"dataset": dataset}) + assert response.json()["message"] == "Not found. The dataset does not exist." + add_dataset_job(dataset) + response = client.get("/splits", params={"dataset": dataset}) + assert response.json()["message"] == "The dataset is being processed. Retry later." + + config = "default" + split = "train" + response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) + assert response.json()["message"] == "Not found. The split does not exist." + add_split_job(dataset, config, split) + response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) + assert response.json()["message"] == "The split is being processed. Retry later."
a6a8661179053f47ac4b53099d04d1a601de5b67
Sylvain Lesage
2022-04-04T14:24:39
test: 💍 re-enable tests for temporarily disabled datasets (#192)
diff --git a/tests/models/test_column.py b/tests/models/test_column.py index 55600c19..a5ee4db5 100644 --- a/tests/models/test_column.py +++ b/tests/models/test_column.py @@ -18,5 +18,4 @@ def test_class_label() -> None: -# def test_empty_features() -> None: -# configs = get_config_names("allenai/c4") -# info = get_info("allenai/c4", configs[0]) -# columns = get_columns(info, []) -# assert columns == [] +def test_empty_features() -> None: + info = get_info("allenai/c4", "allenai--c4") + columns = get_columns(info, []) + assert columns == [] @@ -68 +67 @@ def test_audio() -> None: - info = get_info("common_voice", "tr") + info = get_info("abidlabs/test-audio-1", "test") @@ -71,2 +70,2 @@ def test_audio() -> None: - assert columns[2].name == "audio" - assert columns[2].type == ColumnType.AUDIO_RELATIVE_SOURCES + assert columns[1].name == "Output" + assert columns[1].type == ColumnType.AUDIO_RELATIVE_SOURCES diff --git a/tests/models/test_dataset.py b/tests/models/test_dataset.py index fb19764e..c82ca972 100644 --- a/tests/models/test_dataset.py +++ b/tests/models/test_dataset.py @@ -46,3 +45,0 @@ def test_get_split() -> None: - split_full_names = get_dataset_split_full_names("common_voice") - assert len(split_full_names) > 300 - diff --git a/tests/models/test_row.py b/tests/models/test_row.py index e942afcf..2a664e39 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -37,5 +37,4 @@ def test_iter_archive() -> None: -# disable for now: see https://github.com/huggingface/datasets/issues/3677 also -# def test_dl_1_suffix() -> None: -# # see https://github.com/huggingface/datasets/pull/2843 -# rows = get_rows("discovery", "discovery", "train") -# assert len(rows) == ROWS_MAX_NUMBER +def test_dl_1_suffix() -> None: + # see https://github.com/huggingface/datasets/pull/2843 + rows = get_rows("discovery", "discovery", "train") + assert len(rows) == ROWS_MAX_NUMBER @@ -50,5 +49,4 @@ def test_txt_zip() -> None: -# TOO LONG... TODO: investigate why. Desactivating for now -# def test_pathlib() -> None: -# # see https://github.com/huggingface/datasets/issues/2866 -# rows = get_rows("counter", DEFAULT_CONFIG_NAME, "train") -# assert len(rows) == ROWS_MAX_NUMBER +def test_pathlib() -> None: + # see https://github.com/huggingface/datasets/issues/2866 + rows = get_rows("counter", "counter", "train") + assert len(rows) == ROWS_MAX_NUMBER @@ -65,5 +63,4 @@ def test_community_with_no_config() -> None: -# Temporarily disable (related to https://github.com/huggingface/datasets/issues/3663 ?) -# def test_audio_dataset() -> None: -# rows = get_rows("common_voice", "tr", "train") -# assert len(rows) == ROWS_MAX_NUMBER -# assert rows[0]["audio"]["sampling_rate"] == 48000 +def test_audio_dataset() -> None: + rows = get_rows("abidlabs/test-audio-1", "test", "train") + assert len(rows) == 1 + assert rows[0]["Output"]["sampling_rate"] == 48000 diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index dfbb8982..d1ce733f 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -6,5 +6,6 @@ from datasets_preview_backend.models.typed_row import get_typed_rows_and_columns -# def test_detect_types_from_typed_rows() -> None: -# info = get_info("allenai/c4", "") -# typed_rows, columns = get_typed_rows_and_columns("allenai/c4", "default", "train", info) -# assert len(typed_rows) == ROWS_MAX_NUMBER -# assert columns[0].type == ColumnType.STRING + +def test_detect_types_from_typed_rows() -> None: + info = get_info("allenai/c4", "allenai--c4") + typed_rows, columns = get_typed_rows_and_columns("allenai/c4", "allenai--c4", "train", info) + assert len(typed_rows) == ROWS_MAX_NUMBER + assert columns[0].type == ColumnType.STRING @@ -39,8 +40,7 @@ def test_cifar() -> None: -# disable until https://github.com/huggingface/datasets/issues/3758 is fixed -# def test_head_qa() -> None: -# info = get_info("head_qa", "es") -# typed_rows, columns = get_typed_rows_and_columns("head_qa", "es", "train", info) -# 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_head_qa() -> None: + info = get_info("head_qa", "es") + typed_rows, columns = get_typed_rows_and_columns("head_qa", "es", "train", info) + 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 @@ -63,10 +63,9 @@ def test_image_url() -> None: -# Temporarily disable (related to https://github.com/huggingface/datasets/issues/3663 ?) -# def test_audio_dataset() -> None: -# info = get_info("common_voice", "tr") -# typed_rows, columns = get_typed_rows_and_columns("common_voice", "tr", "train", info) -# assert len(typed_rows) == ROWS_MAX_NUMBER -# assert columns[2].type == ColumnType.AUDIO_RELATIVE_SOURCES -# assert len(typed_rows[0]["audio"]) == 2 -# assert typed_rows[0]["audio"][0]["type"] == "audio/mpeg" -# assert typed_rows[0]["audio"][1]["type"] == "audio/wav" -# assert typed_rows[0]["audio"][0]["src"] == "assets/common_voice/--/tr/train/0/audio/audio.mp3" +def test_audio_dataset() -> None: + info = get_info("abidlabs/test-audio-1", "test") + typed_rows, columns = get_typed_rows_and_columns("abidlabs/test-audio-1", "test", "train", info) + assert len(typed_rows) == 1 + assert columns[1].type == ColumnType.AUDIO_RELATIVE_SOURCES + assert len(typed_rows[0]["Output"]) == 2 + assert typed_rows[0]["Output"][0]["type"] == "audio/mpeg" + assert typed_rows[0]["Output"][1]["type"] == "audio/wav" + assert typed_rows[0]["Output"][0]["src"] == "assets/abidlabs/test-audio-1/--/test/train/0/Output/audio.mp3" diff --git a/tests/test_app.py b/tests/test_app.py index 73082918..7ac424a7 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -179,4 +179,6 @@ def test_get_rows(client: TestClient) -> None: -# def test_datetime_content(client: TestClient) -> None: -# dataset = "allenai/c4" -# response = client.get("/rows", params={"dataset": dataset}) -# assert response.status_code == 400 +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 @@ -184 +186 @@ def test_get_rows(client: TestClient) -> None: -# refresh_dataset(dataset) + refresh_split(dataset, config, split) @@ -186,2 +188,2 @@ def test_get_rows(client: TestClient) -> None: -# response = client.get("/rows", params={"dataset": dataset}) -# assert response.status_code == 200 + response = client.get("/rows", params={"dataset": dataset, "config": config, "split": split}) + assert response.status_code == 200
1a6eb0c53a558404db98fc110907a49a89405c80
Sylvain Lesage
2022-04-01T16:39:23
remove "gated datasets unlock" logic (#189)
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 94c45fea..9fb202db 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -38 +38 @@ jobs: - run: poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 + run: poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 -i 46499 diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index cc6182a5..6b64dcfb 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -34,0 +35 @@ jobs: + HF_TOKEN: ${{ secrets.HF_TOKEN }} diff --git a/Makefile b/Makefile index 7abc3780..41ee6857 100644 --- a/Makefile +++ b/Makefile @@ -31 +31 @@ quality: - poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 + poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 -i 46499 diff --git a/README.md b/README.md index 5ed1c691..aa60bf19 100644 --- a/README.md +++ b/README.md @@ -70 +70 @@ Every `WORKER_SLEEP_SECONDS` (defaults to 5 seconds) when idle, the worker will -Also specify `HF_TOKEN` with a User Access Token (see https://huggingface.co/settings/token, only the `read` role is required) to allow the worker to download gated models from the hub. Defaults to empty. +Also specify `HF_TOKEN` with an App Access Token (ask moonlanding administrators to get one, only the `read` role is required) to allow the worker to download gated models from the hub. Defaults to empty. diff --git a/poetry.lock b/poetry.lock index dddbb9dc..dcba2b34 100644 --- a/poetry.lock +++ b/poetry.lock @@ -449 +449 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] @@ -455 +455 @@ 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", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] @@ -624 +624 @@ name = "fsspec" -version = "2022.2.0" +version = "2022.3.0" @@ -654,0 +655 @@ ssh = ["paramiko"] +tqdm = ["tqdm"] @@ -1025 +1026 @@ name = "lm-dataformat" -version = "0.0.19" +version = "0.0.20" @@ -2474 +2475 @@ name = "watchdog" -version = "2.1.6" +version = "2.1.7" @@ -2562 +2563 @@ python-versions = "3.9.6" -content-hash = "7fd8e8d999cde4fc105a4a36f842cd31d59f55d1fbe175ad5bca912967b82eb6" +content-hash = "dd82aacae83a234b5bcafe7298a54b4df9b1f20494e4209b34f935b9a07383a7" @@ -3181,2 +3182,2 @@ fsspec = [ - 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if hf_token: - # remove the gate (for gated datasets) if a token is passed - ask_access(dataset_name, hf_token) - @@ -423,4 +417,0 @@ def refresh_split( - if hf_token: - # remove the gate (for gated datasets) if a token is passed - ask_access(dataset_name, hf_token) - diff --git a/src/datasets_preview_backend/models/dataset.py b/src/datasets_preview_backend/models/dataset.py index 838b18ff..e116cb3c 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/src/datasets_preview_backend/models/dataset.py @@ -20,0 +21 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No + diff --git a/src/datasets_preview_backend/models/hf_dataset.py b/src/datasets_preview_backend/models/hf_dataset.py index b613951d..fd7c1b13 100644 --- a/src/datasets_preview_backend/models/hf_dataset.py +++ b/src/datasets_preview_backend/models/hf_dataset.py @@ -4 +3,0 @@ from typing import List, TypedDict, Union -import requests @@ -35,10 +33,0 @@ def get_hf_datasets() -> List[HFDataset]: -def ask_access(dataset_name: str, hf_token: str) -> None: - url = f"https://huggingface.co/datasets/{dataset_name}/ask-access" - headers = {"Authorization": f"Bearer {hf_token}"} - try: - requests.get(url, headers=headers) - except Exception as err: - logger.warning(f"error while asking access to dataset {dataset_name}: {err}") - # TODO: check if the access was granted: check if we were redirected to the dataset page, or to the login page - - diff --git a/tests/models/test_dataset.py b/tests/models/test_dataset.py index f8b9c776..fb19764e 100644 --- a/tests/models/test_dataset.py +++ b/tests/models/test_dataset.py @@ -2,0 +3 @@ import pytest +from datasets_preview_backend.config import HF_TOKEN @@ -53,0 +55,10 @@ 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 diff --git a/tests/models/test_split.py b/tests/models/test_split.py index d8482266..7f0c5f72 100644 --- a/tests/models/test_split.py +++ b/tests/models/test_split.py @@ -0,0 +1 @@ +from datasets_preview_backend.config import HF_TOKEN, ROWS_MAX_NUMBER @@ -4 +4,0 @@ from datasets_preview_backend.models.split import get_split -# TODO: test token @@ -14,0 +15,10 @@ def test_get_split() -> None: + + +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) + + assert len(split["rows"]) == ROWS_MAX_NUMBER + assert split["rows"][0]["year"] == "1855"
de2ff0735223b27a176a83c149d14b91d64f9f7e
Sylvain Lesage
2022-03-25T13:54:59
Update blocked datasets (#187)
diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index 74522080..f1a8c4b0 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -34,6 +33,0 @@ DATASETS_BLOCKLIST: List[str] = [ - "imthanhlv/binhvq_news21_raw", - "SaulLu/Natural_Questions_HTML_Toy", - "SaulLu/Natural_Questions_HTML_reduced_all", - "z-uo/squad-it", - "kiyoung2/aistage-mrc", - "clips/mqa", @@ -40,0 +35,4 @@ DATASETS_BLOCKLIST: List[str] = [ + "bigscience/P3", + "clips/mqa", + "echarlaix/gqa-lxmert", + "echarlaix/vqa-lxmert", @@ -41,0 +40,5 @@ DATASETS_BLOCKLIST: List[str] = [ + "hyperpartisan_news_detection", + "imthanhlv/binhvq_news21_raw", + "Graphcore/gqa-lxmert", + "Graphcore/vqa-lxmert", + "kiyoung2/aistage-mrc", @@ -43,0 +47 @@ DATASETS_BLOCKLIST: List[str] = [ + "math_dataset", @@ -48,2 +52,2 @@ DATASETS_BLOCKLIST: List[str] = [ - "hyperpartisan_news_detection", - "math_dataset", + "SaulLu/Natural_Questions_HTML_reduced_all", + "SaulLu/Natural_Questions_HTML_Toy", @@ -51,3 +55 @@ DATASETS_BLOCKLIST: List[str] = [ - "echarlaix/gqa-lxmert", - "Graphcore/gqa-lxmert", - "bigscience/P3", + "z-uo/squad-it",
6f1b609b6fa33c6303aa6741f29995acb019fbd5
Sylvain Lesage
2022-03-16T11:10:23
feat: 🎸 upgrade to datasets 2.0.0 (#182)
diff --git a/poetry.lock b/poetry.lock index 59c001d0..dddbb9dc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -422,2 +422,2 @@ name = "datasets" -version = "1.18.5.dev0" -description = "" +version = "2.0.0" +description = "HuggingFace community-driven open-source library of datasets" @@ -427 +426,0 @@ python-versions = "*" -develop = false @@ -433 +432 @@ fsspec = {version = ">=2021.05.0", extras = ["http"]} -huggingface_hub = ">=0.1.0,<1.0.0" +huggingface-hub = ">=0.1.0,<1.0.0" @@ -447,2 +445,0 @@ xxhash = "*" -audio = ["librosa"] -vision = ["Pillow (>=6.2.1)"] @@ -449,0 +447,6 @@ apache-beam = ["apache-beam (>=2.26.0)"] +audio = ["librosa"] +benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] +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"] @@ -451,0 +455 @@ 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", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] @@ -453,11 +457 @@ 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", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] -docs = ["s3fs"] - -[package.source] -type = "git" -url = "https://github.com/huggingface/datasets.git" -reference = "4b9334007e069ad71630ba36283d3abafba42174" -resolved_reference = "4b9334007e069ad71630ba36283d3abafba42174" +vision = ["Pillow (>=6.2.1)"] @@ -2568 +2562 @@ python-versions = "3.9.6" -content-hash = "006fd51a2f8aff04ef6411cfdea3cfb8f0453e3b8793f3b15fbd342a84a9811c" +content-hash = "7fd8e8d999cde4fc105a4a36f842cd31d59f55d1fbe175ad5bca912967b82eb6" @@ -3057 +3051,4 @@ cryptography = [ -datasets = [] +datasets = [ + {file = "datasets-2.0.0-py3-none-any.whl", hash = "sha256:6219d3674ebfbd6978f2f27f7db89aabdac6f7392efda735b9e005b5d87d3c76"}, + {file = "datasets-2.0.0.tar.gz", hash = "sha256:c93db6b39e5dda72b093d6f11a05945f588e7c5caabb93a0ac4bdf07e0d0ac1a"}, +] diff --git a/pyproject.toml b/pyproject.toml index d29117b0..add117be 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,4 +15 @@ conllu = "^4.4.1" -datasets = { git = "https://github.com/huggingface/datasets.git", rev = "4b9334007e069ad71630ba36283d3abafba42174", extras = [ - "audio", - "vision", -] } +datasets = { extras = ["audio", "vision"], version = "^2.0.0" }
155843ff5938c5c6678213c35f11f5c4bc4051ec
Sylvain Lesage
2022-03-14T14:32:55
feat: 🎸 revert double limit on the rows size (reverts #162) (#179)
diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index 76835cd4..c0f0fae1 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -2 +1,0 @@ import logging -import sys @@ -7 +5,0 @@ from datasets import DatasetInfo -from datasets_preview_backend.config import ROWS_MAX_BYTES @@ -11 +8,0 @@ from datasets_preview_backend.models.row import Row, get_rows -from datasets_preview_backend.utils import orjson_dumps @@ -25,10 +21,0 @@ def get_typed_row( -def get_size_in_bytes(row: Row): - return sys.getsizeof(orjson_dumps(row)) - # ^^ 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) - - @@ -41 +27,0 @@ def get_typed_rows( - rows_max_bytes: Optional[int] = None, @@ -43,14 +29 @@ def get_typed_rows( - typed_rows = [] - bytes = 0 - for idx, row in enumerate(rows): - typed_row = get_typed_row(dataset_name, config_name, split_name, row, idx, columns) - if rows_max_bytes is not None: - bytes += get_size_in_bytes(typed_row) - if bytes >= rows_max_bytes: - logger.debug( - f"the rows in the split have been truncated to {idx} row(s) to keep the size ({bytes}) under the" - f" limit ({rows_max_bytes})" - ) - break - typed_rows.append(typed_row) - return typed_rows + return [get_typed_row(dataset_name, config_name, split_name, row, idx, columns) for idx, row in enumerate(rows)] @@ -79 +52 @@ def get_typed_rows_and_columns( - typed_rows = get_typed_rows(dataset_name, config_name, split_name, rows, columns, ROWS_MAX_BYTES) + typed_rows = get_typed_rows(dataset_name, config_name, split_name, rows, columns) diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index 7f933713..dfbb8982 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -73,9 +72,0 @@ def test_image_url() -> None: - - -def test_bytes_limit() -> None: - dataset = "edbeeching/decision_transformer_gym_replay" - config = "hopper-expert-v2" - split = "train" - info = get_info(dataset, config) - typed_rows, columns = get_typed_rows_and_columns(dataset, config, split, info) - assert len(typed_rows) == 3
f406c0d31bb01c43d58c43dee9cb2a3f3b01e0e8
Sylvain Lesage
2022-03-14T14:13:37
feat: 🎸 truncate cell contents instead of removing rows (#178)
diff --git a/.env.example b/.env.example index 91436d29..6e289c41 100644 --- a/.env.example +++ b/.env.example @@ -43,0 +44,3 @@ +# Min number of rows in the /rows endpoint response +# ROWS_MIN_NUMBER=10 + diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index 29146e86..cc6182a5 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -30,0 +31 @@ jobs: + ROWS_MIN_NUMBER: 2 diff --git a/Makefile b/Makefile index 51c4954b..7abc3780 100644 --- a/Makefile +++ b/Makefile @@ -17 +17 @@ test: - ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests + ROWS_MIN_NUMBER=2 ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests @@ -21 +21 @@ coverage: - ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + ROWS_MIN_NUMBER=2 ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/README.md b/README.md index 21368b84..5ed1c691 100644 --- a/README.md +++ b/README.md @@ -42,0 +43 @@ Set environment variables to configure the following aspects: +- `ROWS_MIN_NUMBER`: min number of rows in the /rows endpoint response. Defaults to `10`. @@ -608 +609 @@ 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` and `ROWS_MAX_NUMBER`. +- `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. @@ -657 +658,2 @@ Responses: - } + }, + "truncated_cells": [] @@ -669 +671,2 @@ Responses: - } + }, + "truncated_cells": [] @@ -677,2 +680,2 @@ Responses: - "premise": "When you've got no snow, it's really hard to learn a snow sport so we looked at all the different ways I could mimic being on snow without actually being on snow.", - "hypothesis": "When you've got snow, it's really hard to learn a snow sport so we looked at all the different ways I could mimic being on snow without actually being on snow.", + "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", @@ -681 +684,2 @@ Responses: - } + }, + "truncated_cells": ["premise", "hypothesis"] diff --git a/src/datasets_preview_backend/config.py b/src/datasets_preview_backend/config.py index cb102464..5e8964ed 100644 --- a/src/datasets_preview_backend/config.py +++ b/src/datasets_preview_backend/config.py @@ -18,0 +19 @@ from datasets_preview_backend.constants import ( + DEFAULT_ROWS_MIN_NUMBER, @@ -45,0 +47 @@ ROWS_MAX_NUMBER = get_int_value(d=os.environ, key="ROWS_MAX_NUMBER", default=DEF +ROWS_MIN_NUMBER = get_int_value(d=os.environ, key="ROWS_MIN_NUMBER", default=DEFAULT_ROWS_MIN_NUMBER) diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index adda5194..74522080 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -15,0 +16 @@ DEFAULT_ROWS_MAX_NUMBER: int = 100 +DEFAULT_ROWS_MIN_NUMBER: int = 10 @@ -27,0 +29,3 @@ DEFAULT_REFRESH_PCT: int = 1 +# below 100 bytes, the cell content will not be truncated +DEFAULT_MIN_CELL_BYTES: int = 100 + diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 4f945397..9da76c96 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -30,0 +31 @@ from datasets_preview_backend.config import MONGO_CACHE_DATABASE, MONGO_URL +from datasets_preview_backend.constants import DEFAULT_MIN_CELL_BYTES @@ -136,0 +138 @@ class RowItem(TypedDict): + truncated_cells: List[str] @@ -152,0 +155 @@ class DbRow(Document): + "truncated_cells": [], @@ -487,2 +490,2 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], -def get_size_in_bytes(row: RowItem): - return sys.getsizeof(orjson_dumps(row)) +def get_size_in_bytes(obj: Any): + return sys.getsizeof(orjson_dumps(obj)) @@ -497 +500,41 @@ def get_size_in_bytes(row: RowItem): -def to_row_items(rows: QuerySet[DbRow], rows_max_bytes: Optional[int]) -> List[RowItem]: +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: + 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): + 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}") + if rows_bytes < rows_max_bytes: + break + return row_items + + +def to_row_items( + rows: QuerySet[DbRow], rows_max_bytes: Optional[int], rows_min_number: Optional[int] +) -> List[RowItem]: @@ -499,2 +542,30 @@ def to_row_items(rows: QuerySet[DbRow], rows_max_bytes: Optional[int]) -> List[R - bytes = 0 - for idx, row in enumerate(rows): + 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 in rows[:rows_min_number]: + row_item = row.to_item() + 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:]): @@ -503,2 +574,2 @@ def to_row_items(rows: QuerySet[DbRow], rows_max_bytes: Optional[int]) -> List[R - bytes += get_size_in_bytes(row_item) - if bytes >= rows_max_bytes: + rows_bytes += get_size_in_bytes(row_item) + if rows_bytes >= rows_max_bytes: @@ -506,2 +577,2 @@ def to_row_items(rows: QuerySet[DbRow], rows_max_bytes: Optional[int]) -> List[R - f"the rows in the split have been truncated to {idx} row(s) to keep the size ({bytes}) under the" - f" limit ({rows_max_bytes})" + f"the rows in the split have been truncated to {rows_min_number + idx} row(s) to keep the size" + f" ({rows_bytes}) under the limit ({rows_max_bytes})" @@ -515 +586,5 @@ def get_rows_response( - dataset_name: str, config_name: str, split_name: str, rows_max_bytes: Optional[int] = None + dataset_name: str, + config_name: str, + split_name: str, + rows_max_bytes: Optional[int] = None, + rows_min_number: Optional[int] = None, @@ -543 +618 @@ def get_rows_response( - row_items = to_row_items(rows, rows_max_bytes) + row_items = to_row_items(rows, rows_max_bytes, rows_min_number) diff --git a/src/datasets_preview_backend/models/row.py b/src/datasets_preview_backend/models/row.py index e5016e3a..5e9e5480 100644 --- a/src/datasets_preview_backend/models/row.py +++ b/src/datasets_preview_backend/models/row.py @@ -34 +34 @@ def get_rows( - # ^^ to be able to detect if a split has exactly DEFAULT_ROWS_MAX_NUMBER rows + # ^^ to be able to detect if a split has exactly ROWS_MAX_NUMBER rows @@ -40,2 +39,0 @@ def get_rows( - # ^^ note that DEFAULT_ROWS_MAX_BYTES is not enforced here, but in typed_row.py - # after the type of the fields is known (ie: the row can be converted to JSON) diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index f1d9834b..c006e5bb 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -6 +6,5 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS, ROWS_MAX_BYTES +from datasets_preview_backend.config import ( + MAX_AGE_LONG_SECONDS, + ROWS_MAX_BYTES, + ROWS_MIN_NUMBER, +) @@ -24 +28 @@ async def rows_endpoint(request: Request) -> Response: - dataset_name, config_name, split_name, ROWS_MAX_BYTES + dataset_name, config_name, split_name, ROWS_MAX_BYTES, ROWS_MIN_NUMBER
4c542a74244045929615640ccbba5a902c344c5a
Sylvain Lesage
2022-03-07T20:15:47
Fix ci (#175)
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 0c355134..94c45fea 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -38 +38 @@ jobs: - run: poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 + run: poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 diff --git a/Makefile b/Makefile index cfd16856..51c4954b 100644 --- a/Makefile +++ b/Makefile @@ -31 +31 @@ quality: - poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 + poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 -i 45356 diff --git a/poetry.lock b/poetry.lock index cf2870c9..59c001d0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -422,2 +422,2 @@ name = "datasets" -version = "1.18.4" -description = "HuggingFace community-driven open-source library of datasets" +version = "1.18.5.dev0" +description = "" @@ -426,0 +427 @@ python-versions = "*" +develop = false @@ -432 +433 @@ fsspec = {version = ">=2021.05.0", extras = ["http"]} -huggingface-hub = ">=0.1.0,<1.0.0" +huggingface_hub = ">=0.1.0,<1.0.0" @@ -439 +440 @@ Pillow = {version = ">=6.2.1", optional = true, markers = "extra == \"vision\""} -pyarrow = ">=3.0.0,<4.0.0 || >4.0.0" +pyarrow = ">=5.0.0" @@ -446 +446,0 @@ xxhash = "*" -apache-beam = ["apache-beam (>=2.26.0)"] @@ -448,5 +448,2 @@ audio = ["librosa"] -benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"] -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] -docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] -quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] -s3 = ["fsspec", "boto3", "botocore", "s3fs"] +vision = ["Pillow (>=6.2.1)"] +apache-beam = ["apache-beam (>=2.26.0)"] @@ -455 +451,0 @@ 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", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] @@ -457 +453,11 @@ torch = ["torch"] -vision = ["Pillow (>=6.2.1)"] +s3 = ["fsspec", "boto3", "botocore", "s3fs"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] +docs = ["s3fs"] + +[package.source] +type = "git" +url = "https://github.com/huggingface/datasets.git" +reference = "4b9334007e069ad71630ba36283d3abafba42174" +resolved_reference = "4b9334007e069ad71630ba36283d3abafba42174" @@ -2562 +2568 @@ python-versions = "3.9.6" -content-hash = "8ccc3fc544d33d693e897b5352a89f511a09f5008cf93fb81d8adfb78a7ac123" +content-hash = "006fd51a2f8aff04ef6411cfdea3cfb8f0453e3b8793f3b15fbd342a84a9811c" @@ -3051,4 +3057 @@ cryptography = [ -datasets = [ - {file = "datasets-1.18.4-py3-none-any.whl", hash = "sha256:e13695ad7aeda2af4430ac1a0b62def9c4b60bb4cc14dbaa240e6683cac50c49"}, - {file = "datasets-1.18.4.tar.gz", hash = "sha256:8f28a7afc2f894c68cb017335a32812f443fe41bc59c089cbd15d7412d3f7f96"}, -] +datasets = [] diff --git a/pyproject.toml b/pyproject.toml index 841c90a3..d29117b0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15 +15,4 @@ conllu = "^4.4.1" -datasets = { extras = ["audio", "vision"], version = "^1.18.4" } +datasets = { git = "https://github.com/huggingface/datasets.git", rev = "4b9334007e069ad71630ba36283d3abafba42174", extras = [ + "audio", + "vision", +] }
dab06aae870f53c65babaaf1f658f4828177cf79
Sylvain Lesage
2022-03-07T17:16:30
feat: 🎸 upgrade datasets to 1.18.4 (#174)
diff --git a/poetry.lock b/poetry.lock index 68db4ea9..cf2870c9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -422,2 +422,2 @@ name = "datasets" -version = "1.18.4.dev0" -description = "" +version = "1.18.4" +description = "HuggingFace community-driven open-source library of datasets" @@ -427 +426,0 @@ python-versions = "*" -develop = false @@ -433 +432 @@ fsspec = {version = ">=2021.05.0", extras = ["http"]} -huggingface_hub = ">=0.1.0,<1.0.0" +huggingface-hub = ">=0.1.0,<1.0.0" @@ -441,0 +441 @@ requests = ">=2.19.0" +responses = "<0.19" @@ -446,2 +445,0 @@ xxhash = "*" -audio = ["librosa"] -vision = ["Pillow (>=6.2.1)"] @@ -448,0 +447,6 @@ apache-beam = ["apache-beam (>=2.26.0)"] +audio = ["librosa"] +benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] +docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] +quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] +s3 = ["fsspec", "boto3", "botocore", "s3fs"] @@ -450,0 +455 @@ 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", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] @@ -452,11 +457 @@ 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", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] -docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] - -[package.source] -type = "git" -url = "https://github.com/huggingface/datasets.git" -reference = "8ae21bf6a77175dc803ce2f1b93d18b8fbf45586" -resolved_reference = "8ae21bf6a77175dc803ce2f1b93d18b8fbf45586" +vision = ["Pillow (>=6.2.1)"] @@ -629 +624 @@ name = "fsspec" -version = "2022.1.0" +version = "2022.2.0" @@ -633 +628 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -1891,0 +1887,15 @@ tests = ["pytest (<4)", "pytest-cov"] +[[package]] +name = "responses" +version = "0.18.0" +description = "A utility library for mocking out the `requests` Python library." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +requests = ">=2.0,<3.0" +urllib3 = ">=1.25.10" + +[package.extras] +tests = ["pytest (>=4.6)", "coverage (>=6.0.0)", "pytest-cov", "pytest-localserver", "flake8", "types-mock", "types-requests", "mypy"] + @@ -2552 +2562 @@ python-versions = "3.9.6" -content-hash = "0f2c07d9358d33fd0590068481b7dc8a0625a6a1945f2f2607367eece1d751df" +content-hash = "8ccc3fc544d33d693e897b5352a89f511a09f5008cf93fb81d8adfb78a7ac123" @@ -3041 +3051,4 @@ cryptography = [ -datasets = [] +datasets = [ + {file = "datasets-1.18.4-py3-none-any.whl", hash = "sha256:e13695ad7aeda2af4430ac1a0b62def9c4b60bb4cc14dbaa240e6683cac50c49"}, + {file = "datasets-1.18.4.tar.gz", hash = "sha256:8f28a7afc2f894c68cb017335a32812f443fe41bc59c089cbd15d7412d3f7f96"}, +] @@ -3168,2 +3181,2 @@ fsspec = [ - {file = "fsspec-2022.1.0-py3-none-any.whl", hash = "sha256:256e2be44e62430c9ca8dac2e480384b00a3c52aef4e2b0b7204163fdc861d37"}, - {file = "fsspec-2022.1.0.tar.gz", hash = "sha256:0bdd519bbf4d8c9a1d893a50b5ebacc89acd0e1fe0045d2f7b0e0c1af5990edc"}, + {file = "fsspec-2022.2.0-py3-none-any.whl", hash = "sha256:eb9c9d9aee49d23028deefffe53e87c55d3515512c63f57e893710301001449a"}, + {file = "fsspec-2022.2.0.tar.gz", hash = "sha256:20322c659538501f52f6caa73b08b2ff570b7e8ea30a86559721d090e473ad5c"}, @@ -4433,0 +4447,4 @@ resampy = [ +responses = [ + {file = "responses-0.18.0-py3-none-any.whl", hash = "sha256:15c63ad16de13ee8e7182d99c9334f64fd81f1ee79f90748d527c28f7ca9dd51"}, + {file = "responses-0.18.0.tar.gz", hash = "sha256:380cad4c1c1dc942e5e8a8eaae0b4d4edf708f4f010db8b7bcfafad1fcd254ff"}, +] diff --git a/pyproject.toml b/pyproject.toml index 7cc720fb..841c90a3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15,4 +15 @@ conllu = "^4.4.1" -datasets = { git = "https://github.com/huggingface/datasets.git", rev = "8ae21bf6a77175dc803ce2f1b93d18b8fbf45586", extras = [ - "audio", - "vision", -] } +datasets = { extras = ["audio", "vision"], version = "^1.18.4" }
45c3888e5d8fbf8c18b1295ab594545a46da7338
Sylvain Lesage
2022-02-25T15:52:30
feat: 🎸 hide expected errors from the worker logs (#170)
diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index fb75ddfb..d7b401fd 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -18,0 +19 @@ from datasets_preview_backend.constants import ( +from datasets_preview_backend.exceptions import Status400Error @@ -74,0 +76,2 @@ def process_next_dataset_job() -> bool: + except Status400Error: + pass @@ -106,0 +110,2 @@ def process_next_split_job() -> bool: + except Status400Error: + pass
0d788796b59a85d7361e9d8cc4043ee0159cfc15
Sylvain Lesage
2022-02-25T15:41:49
fix: 🐛 force job finishing in any case (#169)
diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index 7f382ffa..6200cf96 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -244 +244 @@ def get_split_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str, -def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bool: +def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> None: @@ -248,2 +248,2 @@ def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bo - logger.warning(f"started job {job_id} does not exist. Aborting.") - return False + logger.error(f"started job {job_id} does not exist. Aborting.") + return @@ -251,2 +251,3 @@ def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bo - logger.warning(f"started job {job.to_id()} has a not the STARTED status. Aborting.") - return False + logger.warning( + f"started job {job.to_id()} has a not the STARTED status ({job.status.value}). Force finishing anyway." + ) @@ -254,2 +255 @@ def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bo - logger.warning(f"started job {job.to_id()} has a non-empty finished_at field. Aborting.") - return False + logger.warning(f"started job {job.to_id()} has a non-empty finished_at field. Force finishing anyway.") @@ -257,2 +257 @@ def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bo - logger.warning(f"started job {job.to_id()} has an empty started_at field. Aborting.") - return False + logger.warning(f"started job {job.to_id()} has an empty started_at field. Force finishing anyway.") @@ -261 +259,0 @@ def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bo - return True @@ -272,2 +270,2 @@ def cancel_waiting_jobs(jobs: QuerySet[AnyJob]) -> None: -def finish_dataset_job(job_id: str, success: bool) -> bool: - return finish_started_job(DatasetJob.objects, job_id, success) +def finish_dataset_job(job_id: str, success: bool) -> None: + finish_started_job(DatasetJob.objects, job_id, success) @@ -276,2 +274,2 @@ def finish_dataset_job(job_id: str, success: bool) -> bool: -def finish_split_job(job_id: str, success: bool) -> bool: - return finish_started_job(SplitJob.objects, job_id, success) +def finish_split_job(job_id: str, success: bool) -> None: + finish_started_job(SplitJob.objects, job_id, success) diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index 560901f6..fb75ddfb 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -65,0 +66 @@ def process_next_dataset_job() -> bool: + success = False @@ -68,0 +70 @@ def process_next_dataset_job() -> bool: + success = True @@ -73,5 +75,4 @@ def process_next_dataset_job() -> bool: - if finish_dataset_job(job_id, success=True): - logger.debug(f"job finished with success: {job_id} for dataset: {dataset_name}") - except Exception: - if finish_dataset_job(job_id, success=False): - logger.debug(f"job finished with error: {job_id} for dataset: {dataset_name}") + 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}") @@ -94,0 +96 @@ def process_next_split_job() -> bool: + success = False @@ -104,11 +106,8 @@ def process_next_split_job() -> bool: - if finish_split_job(job_id, success=True): - logger.debug( - f"job finished with success: {job_id} for split '{split_name}' from dataset '{dataset_name}' with" - f" config '{config_name}'" - ) - except Exception: - if finish_split_job(job_id, success=False): - logger.debug( - f"job finished with error: {job_id} for split '{split_name}' from dataset '{dataset_name}' with config" - f" '{config_name}'" - ) + success = True + finally: + finish_split_job(job_id, success=success) + result = "success" if success else "error" + logger.debug( + f"job finished with {result}: {job_id} for split '{split_name}' from dataset '{dataset_name}' with" + f" config '{config_name}'" + )
acdded96de86a683517b3b29cc3522d32677d88a
Sylvain Lesage
2022-02-25T10:53:04
fix: 🐛 fix ci (again)
diff --git a/tests/io/test_queue.py b/tests/io/test_queue.py index e845687a..30c82ad1 100644 --- a/tests/io/test_queue.py +++ b/tests/io/test_queue.py @@ -6 +5,0 @@ from datasets_preview_backend.io.queue import ( - JobNotFound,
345200dc9cbad06bc4bcac81d0a04f8eab10a8e0
Sylvain Lesage
2022-02-25T10:42:08
fix: 🐛 fix CI
diff --git a/tests/io/test_queue.py b/tests/io/test_queue.py index a7fb082c..e845687a 100644 --- a/tests/io/test_queue.py +++ b/tests/io/test_queue.py @@ -44,3 +44,3 @@ def test_add_job() -> None: - with pytest.raises(JobNotFound): - other_job_id = ("1" if job_id[0] == "0" else "0") + job_id[1:] - finish_dataset_job(other_job_id, success=True) + other_job_id = ("1" if job_id[0] == "0" else "0") + job_id[1:] + finish_dataset_job(other_job_id, success=True) + # ^ fails silently (with a log)
9e360f9de0df91be28001587964c1af25f82d051
Sylvain Lesage
2022-02-25T10:30:39
ci: 🎡 fix ci (ignore warning for use of random())
diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index 9981848b..560901f6 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -153 +153 @@ def sleep() -> None: - jitter = 0.75 + random.random() / 2 + jitter = 0.75 + random.random() / 2 # nosec
532d6caddcd8d47d101bbe72f154a86a743c598f
Sylvain Lesage
2022-02-25T10:23:33
fix: 🐛 fix CI (#167)
diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index c1f855b0..7f382ffa 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -248 +248 @@ def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bo - logger.warning(f"started job {job.to_id()} does not exist. Aborting.") + logger.warning(f"started job {job_id} does not exist. Aborting.")
3440c9e89744e8dd2a2e988a5946a5281bb0ec6b
Sylvain Lesage
2022-02-25T10:21:21
fix: 🐛 add random jitter to the duration the workers sleep (#166)
diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index b6b43894..9981848b 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -2,0 +3 @@ import os +import random @@ -152,2 +153,5 @@ def sleep() -> None: - logger.debug(f"sleep during {worker_sleep_seconds} seconds") - time.sleep(worker_sleep_seconds) + jitter = 0.75 + random.random() / 2 + # ^ between 0.75 and 1.25 + duration = worker_sleep_seconds * jitter + logger.debug(f"sleep during {duration:.2f} seconds") + time.sleep(duration)
1719649342ebfd9d817fb069e63987bfbc191213
Sylvain Lesage
2022-02-25T10:03:58
fix: 🐛 fix incoherencies due to concurrency in the queue (#165)
diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index 1ce34339..c1f855b0 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -1,0 +2 @@ import enum +import logging @@ -7 +7,0 @@ from mongoengine import Document, DoesNotExist, connect -from mongoengine.errors import ValidationError @@ -31,0 +32,2 @@ class QuerySetManager(Generic[U]): +logger = logging.getLogger(__name__) + @@ -102,0 +105,3 @@ class DatasetJob(Document): + def to_id(self) -> str: + return f"DatasetJob[{self.dataset_name}]" + @@ -126,0 +132,3 @@ class SplitJob(Document): + def to_id(self) -> str: + return f"SplitJob[{self.dataset_name}, {self.config_name}, {self.split_name}]" + @@ -153,4 +160,0 @@ class JobNotFound(Exception): -class IncoherentState(Exception): - pass - - @@ -210,5 +214,10 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - if job.started_at is not None or job.finished_at is not None: - raise IncoherentState("a job with status WAITING should have empty started_at and finished_at fields") - if job.status is Status.WAITING and ( - max_jobs_per_dataset is None or get_num_started_for_dataset(jobs, job.dataset_name) < max_jobs_per_dataset - ): + if job.status is not Status.WAITING: + logger.warning(f"waiting job {job.to_id()} has a not the WAITING status. Ignoring it.") + continue + if job.started_at is not None: + logger.warning(f"waiting job {job.to_id()} has a non empty started_at field. Ignoring it.") + continue + if job.finished_at is not None: + logger.warning(f"waiting job {job.to_id()} has a non empty started_at field. Ignoring it.") + continue + if max_jobs_per_dataset is None or get_num_started_for_dataset(jobs, job.dataset_name) < max_jobs_per_dataset: @@ -235 +244 @@ def get_split_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str, -def finish_started_jobs(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> None: +def finish_started_job(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> bool: @@ -237,5 +246,13 @@ def finish_started_jobs(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> N - job = jobs(pk=job_id, status=Status.STARTED).get() - except (DoesNotExist, ValidationError) as e: - raise JobNotFound("the job does not exist") from e - if job.finished_at is not None or job.started_at is None: - raise IncoherentState("a started job should not have a finished_at field or an empty started_at field") + job = jobs(pk=job_id).get() + except DoesNotExist: + logger.warning(f"started job {job.to_id()} does not exist. Aborting.") + return False + if job.status is not Status.STARTED: + logger.warning(f"started job {job.to_id()} has a not the STARTED status. Aborting.") + return False + if job.finished_at is not None: + logger.warning(f"started job {job.to_id()} has a non-empty finished_at field. Aborting.") + return False + if job.started_at is None: + logger.warning(f"started job {job.to_id()} has an empty started_at field. Aborting.") + return False @@ -243,0 +261 @@ def finish_started_jobs(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> N + return True @@ -254,2 +272,2 @@ def cancel_waiting_jobs(jobs: QuerySet[AnyJob]) -> None: -def finish_dataset_job(job_id: str, success: bool) -> None: - finish_started_jobs(DatasetJob.objects, job_id, success) +def finish_dataset_job(job_id: str, success: bool) -> bool: + return finish_started_job(DatasetJob.objects, job_id, success) @@ -258,2 +276,2 @@ def finish_dataset_job(job_id: str, success: bool) -> None: -def finish_split_job(job_id: str, success: bool) -> None: - finish_started_jobs(SplitJob.objects, job_id, success) +def finish_split_job(job_id: str, success: bool) -> bool: + return finish_started_job(SplitJob.objects, job_id, success) diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index 6b689d25..b6b43894 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -72,2 +72,2 @@ def process_next_dataset_job() -> bool: - finish_dataset_job(job_id, success=True) - logger.debug(f"job finished with success: {job_id} for dataset: {dataset_name}") + if finish_dataset_job(job_id, success=True): + logger.debug(f"job finished with success: {job_id} for dataset: {dataset_name}") @@ -75,2 +75,2 @@ def process_next_dataset_job() -> bool: - finish_dataset_job(job_id, success=False) - logger.debug(f"job finished with error: {job_id} for dataset: {dataset_name}") + if finish_dataset_job(job_id, success=False): + logger.debug(f"job finished with error: {job_id} for dataset: {dataset_name}") @@ -103,5 +103,5 @@ def process_next_split_job() -> bool: - finish_split_job(job_id, success=True) - logger.debug( - f"job finished with success: {job_id} for split '{split_name}' from dataset '{dataset_name}' with config" - f" '{config_name}'" - ) + if finish_split_job(job_id, success=True): + logger.debug( + f"job finished with success: {job_id} for split '{split_name}' from dataset '{dataset_name}' with" + f" config '{config_name}'" + ) @@ -109,5 +109,5 @@ def process_next_split_job() -> bool: - finish_split_job(job_id, success=False) - logger.debug( - f"job finished with error: {job_id} for split '{split_name}' from dataset '{dataset_name}' with config" - f" '{config_name}'" - ) + if finish_split_job(job_id, success=False): + logger.debug( + f"job finished with error: {job_id} for split '{split_name}' from dataset '{dataset_name}' with config" + f" '{config_name}'" + )
83260b8a288e169d8298aa76a0a692fbfff5a5db
Sylvain Lesage
2022-02-25T09:30:01
chore: 🤖 the app version will stay stuck to 0.1.0
diff --git a/pyproject.toml b/pyproject.toml index 130a0d09..7cc720fb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.17.2" +version = "0.1.0"
b691f16931906f0c0e21154d6ca4cd7dda317adb
Sylvain Lesage
2022-02-25T09:28:24
fix: 🐛 fix concurrency between workers (#164)
diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index 62fffbd0..1ce34339 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -207 +207,2 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - waiting_jobs = get_waiting(jobs).order_by("+created_at") + waiting_jobs = get_waiting(jobs).order_by("+created_at").no_cache() + # ^ no_cache should generate a query on every iteration, which should solve concurrency issues between workers @@ -209,5 +210,5 @@ def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None - if job.finished_at is not None or job.status != Status.WAITING: - raise IncoherentState( - "a job with an empty start_at field should not have a finished_at field or a WAITING status" - ) - if max_jobs_per_dataset is None or get_num_started_for_dataset(jobs, job.dataset_name) < max_jobs_per_dataset: + if job.started_at is not None or job.finished_at is not None: + raise IncoherentState("a job with status WAITING should have empty started_at and finished_at fields") + if job.status is Status.WAITING and ( + max_jobs_per_dataset is None or get_num_started_for_dataset(jobs, job.dataset_name) < max_jobs_per_dataset + ):
fac66dfa7a6b27f59494e7b5b3701d1d404231d5
Sylvain Lesage
2022-02-25T09:03:31
chore: 🤖 version bbump
diff --git a/pyproject.toml b/pyproject.toml index 492daf90..130a0d09 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.17.1" +version = "0.17.2"
b0939781f9cb417dfede1c25652f99b4767f8b25
Sylvain Lesage
2022-02-25T09:02:36
feat: 🎸 add MAX_JOBS_PER_DATASET to improve queue availability (#163)
diff --git a/.env.example b/.env.example index b1db6374..91436d29 100644 --- a/.env.example +++ b/.env.example @@ -53,0 +54,3 @@ +# Maximum number of jobs running at the same time for the same dataset +# MAX_JOBS_PER_DATASET = 2 + diff --git a/README.md b/README.md index ad1d7cf0..21368b84 100644 --- a/README.md +++ b/README.md @@ -66,0 +67 @@ Every `WORKER_SLEEP_SECONDS` (defaults to 5 seconds) when idle, the worker will +- the number of started jobs for the same dataset is under `MAX_JOBS_PER_DATASET` diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index 80ef9de1..adda5194 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -18,0 +19 @@ DEFAULT_HF_TOKEN: Optional[str] = None +DEFAULT_MAX_JOBS_PER_DATASET: int = 2 diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index e8c3f001..62fffbd0 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -198,2 +198,2 @@ def get_started(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: -def get_finished(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: - return jobs(status__nin=[Status.WAITING, 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() @@ -202,10 +202,2 @@ def get_finished(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: -def start_job(jobs: QuerySet[AnyJob]) -> AnyJob: - job = get_waiting(jobs).order_by("+created_at").first() - if job is None: - raise EmptyQueue("no job available") - if job.finished_at is not None or job.status != Status.WAITING: - raise IncoherentState( - "a job with an empty start_at field should not have a finished_at field or a WAITING status" - ) - job.update(started_at=datetime.utcnow(), status=Status.STARTED) - return job +def get_finished(jobs: QuerySet[AnyJob]) -> QuerySet[AnyJob]: + return jobs(status__nin=[Status.WAITING, Status.STARTED]) @@ -214,2 +206,18 @@ def start_job(jobs: QuerySet[AnyJob]) -> AnyJob: -def get_dataset_job() -> Tuple[str, str]: - job = start_job(DatasetJob.objects) +def start_job(jobs: QuerySet[AnyJob], max_jobs_per_dataset: Optional[int] = None) -> AnyJob: + waiting_jobs = get_waiting(jobs).order_by("+created_at") + for job in waiting_jobs: + if job.finished_at is not None or job.status != Status.WAITING: + raise IncoherentState( + "a job with an empty start_at field should not have a finished_at field or a WAITING status" + ) + if max_jobs_per_dataset is None or get_num_started_for_dataset(jobs, job.dataset_name) < max_jobs_per_dataset: + job.update(started_at=datetime.utcnow(), status=Status.STARTED) + return job + raise EmptyQueue(f"no job available (within the limit of {max_jobs_per_dataset} started jobs per dataset)") + + +def get_dataset_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str]: + 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 @@ -220,2 +228,2 @@ def get_dataset_job() -> Tuple[str, str]: -def get_split_job() -> Tuple[str, str, str, str]: - job = start_job(SplitJob.objects) +def get_split_job(max_jobs_per_dataset: Optional[int] = None) -> Tuple[str, str, str, str]: + job = start_job(SplitJob.objects, max_jobs_per_dataset) diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index 4008c38f..6b689d25 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -10,0 +11 @@ from datasets_preview_backend.constants import ( + DEFAULT_MAX_JOBS_PER_DATASET, @@ -39,0 +41 @@ load_dotenv() +max_jobs_per_dataset = get_int_value(os.environ, "MAX_JOBS_PER_DATASET", DEFAULT_MAX_JOBS_PER_DATASET) @@ -57 +59 @@ def process_next_dataset_job() -> bool: - job_id, dataset_name = get_dataset_job() + job_id, dataset_name = get_dataset_job(max_jobs_per_dataset) @@ -83 +85 @@ def process_next_split_job() -> bool: - job_id, dataset_name, config_name, split_name = get_split_job() + job_id, dataset_name, config_name, split_name = get_split_job(max_jobs_per_dataset)
e27cd5acebaf3f093e27c73e509aa36a0fbbeb5c
Sylvain Lesage
2022-02-24T16:50:27
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 27c67983..492daf90 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.17.0" +version = "0.17.1"
b29b590fc84df6079b769dba613332711fd5316e
Sylvain Lesage
2022-02-24T16:49:42
Double limit on size (#162)
diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index 496ed65d..76835cd4 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -0,0 +1,2 @@ +import logging +import sys @@ -4,0 +7 @@ from datasets import DatasetInfo +from datasets_preview_backend.config import ROWS_MAX_BYTES @@ -7,0 +11,3 @@ from datasets_preview_backend.models.row import Row, get_rows +from datasets_preview_backend.utils import orjson_dumps + +logger = logging.getLogger(__name__) @@ -18,0 +25,10 @@ def get_typed_row( +def get_size_in_bytes(row: Row): + return sys.getsizeof(orjson_dumps(row)) + # ^^ 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) + + @@ -20 +36,6 @@ def get_typed_rows( - dataset_name: str, config_name: str, split_name: str, rows: List[Row], columns: List[Column] + dataset_name: str, + config_name: str, + split_name: str, + rows: List[Row], + columns: List[Column], + rows_max_bytes: Optional[int] = None, @@ -22,3 +43,14 @@ def get_typed_rows( - return [ - get_typed_row(dataset_name, config_name, split_name, row, row_idx, columns) for row_idx, row in enumerate(rows) - ] + typed_rows = [] + bytes = 0 + for idx, row in enumerate(rows): + typed_row = get_typed_row(dataset_name, config_name, split_name, row, idx, columns) + if rows_max_bytes is not None: + bytes += get_size_in_bytes(typed_row) + if bytes >= rows_max_bytes: + logger.debug( + f"the rows in the split have been truncated to {idx} row(s) to keep the size ({bytes}) under the" + f" limit ({rows_max_bytes})" + ) + break + typed_rows.append(typed_row) + return typed_rows @@ -47 +79 @@ def get_typed_rows_and_columns( - typed_rows = get_typed_rows(dataset_name, config_name, split_name, rows, columns) + typed_rows = get_typed_rows(dataset_name, config_name, split_name, rows, columns, ROWS_MAX_BYTES) diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index dfbb8982..7f933713 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -72,0 +73,9 @@ def test_image_url() -> None: + + +def test_bytes_limit() -> None: + dataset = "edbeeching/decision_transformer_gym_replay" + config = "hopper-expert-v2" + split = "train" + info = get_info(dataset, config) + typed_rows, columns = get_typed_rows_and_columns(dataset, config, split, info) + assert len(typed_rows) == 3
71d6460939e1ca66393109ab70676906729d8e78
Sylvain Lesage
2022-02-24T12:48:21
chore: 🤖 bump version
diff --git a/pyproject.toml b/pyproject.toml index 54fc4d45..27c67983 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.23" +version = "0.17.0"
c9fadf8e38628eb04204bdd73f4dc80e2a89ff2f
Sylvain Lesage
2022-02-24T12:46:56
Limit size of the /rows response (#161)
diff --git a/.env.example b/.env.example index b9bcd4b9..b1db6374 100644 --- a/.env.example +++ b/.env.example @@ -17,3 +16,0 @@ -# Number of rows extracted from the dataset, if not specified otherwise -# EXTRACT_ROWS_LIMIT=100 - @@ -40,0 +38,6 @@ +# 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 + diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index f2be90d7..29146e86 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -31 +31 @@ jobs: - EXTRACT_ROWS_LIMIT: 5 + ROWS_MAX_NUMBER: 5 diff --git a/Makefile b/Makefile index a21dbd4f..cfd16856 100644 --- a/Makefile +++ b/Makefile @@ -17 +17 @@ test: - EXTRACT_ROWS_LIMIT=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests + ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -x tests @@ -21 +21 @@ coverage: - EXTRACT_ROWS_LIMIT=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests + ROWS_MAX_NUMBER=5 MONGO_CACHE_DATABASE="datasets_preview_cache_test" MONGO_QUEUE_DATABASE="datasets_preview_queue_test" poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term tests diff --git a/README.md b/README.md index 318105fa..ad1d7cf0 100644 --- a/README.md +++ b/README.md @@ -35 +34,0 @@ Set environment variables to configure the following aspects: -- `EXTRACT_ROWS_LIMIT`: number of rows in the extract, if not specified in the API request. Defaults to `100`. @@ -41,0 +41,2 @@ Set environment variables to configure the following aspects: +- `ROWS_MAX_BYTES`: max size of the /rows endpoint response in bytes. Defaults to `1_000_000` (1 MB). +- `ROWS_MAX_NUMBER`: max number of rows in the /rows endpoint response. Defaults to `100`. @@ -606 +607 @@ 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. +- `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` and `ROWS_MAX_NUMBER`. diff --git a/src/datasets_preview_backend/config.py b/src/datasets_preview_backend/config.py index bbacf319..cb102464 100644 --- a/src/datasets_preview_backend/config.py +++ b/src/datasets_preview_backend/config.py @@ -11 +10,0 @@ from datasets_preview_backend.constants import ( - DEFAULT_EXTRACT_ROWS_LIMIT, @@ -17,0 +17,2 @@ from datasets_preview_backend.constants import ( + DEFAULT_ROWS_MAX_BYTES, + DEFAULT_ROWS_MAX_NUMBER, @@ -37 +37,0 @@ DATASETS_REVISION = get_str_value(d=os.environ, key="DATASETS_REVISION", default -EXTRACT_ROWS_LIMIT = get_int_value(d=os.environ, key="EXTRACT_ROWS_LIMIT", default=DEFAULT_EXTRACT_ROWS_LIMIT) @@ -43,0 +44,2 @@ MONGO_URL = get_str_value(d=os.environ, key="MONGO_URL", default=DEFAULT_MONGO_U +ROWS_MAX_BYTES = get_int_value(d=os.environ, key="ROWS_MAX_BYTES", default=DEFAULT_ROWS_MAX_BYTES) +ROWS_MAX_NUMBER = get_int_value(d=os.environ, key="ROWS_MAX_NUMBER", default=DEFAULT_ROWS_MAX_NUMBER) diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index 18c0dd3f..80ef9de1 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -8 +7,0 @@ DEFAULT_DATASETS_REVISION: str = "master" -DEFAULT_EXTRACT_ROWS_LIMIT: int = 100 @@ -14,0 +14,2 @@ DEFAULT_MONGO_URL: str = "mongodb://localhost:27018" +DEFAULT_ROWS_MAX_BYTES: int = 1_000_000 +DEFAULT_ROWS_MAX_NUMBER: int = 100 diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 2e3f5449..4f945397 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -2,0 +3 @@ import logging +import sys @@ -45,0 +47 @@ from datasets_preview_backend.models.split import Split, get_split +from datasets_preview_backend.utils import orjson_dumps @@ -484,0 +487,27 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], +def get_size_in_bytes(row: RowItem): + return sys.getsizeof(orjson_dumps(row)) + # ^^ 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 to_row_items(rows: QuerySet[DbRow], rows_max_bytes: Optional[int]) -> List[RowItem]: + row_items = [] + bytes = 0 + for idx, row in enumerate(rows): + row_item = row.to_item() + if rows_max_bytes is not None: + bytes += get_size_in_bytes(row_item) + if bytes >= rows_max_bytes: + logger.debug( + f"the rows in the split have been truncated to {idx} row(s) to keep the size ({bytes}) under the" + f" limit ({rows_max_bytes})" + ) + break + row_items.append(row_item) + return row_items + + @@ -486 +515 @@ def get_rows_response( - dataset_name: str, config_name: str, split_name: str + dataset_name: str, config_name: str, split_name: str, rows_max_bytes: Optional[int] = None @@ -508,0 +538,2 @@ def get_rows_response( + # TODO: on some datasets, such as "edbeeching/decision_transformer_gym_replay", it takes a long time, and we + # truncate it anyway in to_row_items(). We might optimize here @@ -511,0 +543 @@ def get_rows_response( + row_items = to_row_items(rows, rows_max_bytes) @@ -514 +546 @@ def get_rows_response( - "rows": [row.to_item() for row in rows], + "rows": row_items, diff --git a/src/datasets_preview_backend/models/column/__init__.py b/src/datasets_preview_backend/models/column/__init__.py index 3713ad56..76a261ff 100644 --- a/src/datasets_preview_backend/models/column/__init__.py +++ b/src/datasets_preview_backend/models/column/__init__.py @@ -5 +5 @@ from datasets import DatasetInfo, Features -from datasets_preview_backend.config import EXTRACT_ROWS_LIMIT +from datasets_preview_backend.config import ROWS_MAX_NUMBER @@ -43 +43 @@ FeaturesOrNone = Union[Features, None] -MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK = EXTRACT_ROWS_LIMIT +MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK = ROWS_MAX_NUMBER diff --git a/src/datasets_preview_backend/models/row.py b/src/datasets_preview_backend/models/row.py index 50d8b4a9..e5016e3a 100644 --- a/src/datasets_preview_backend/models/row.py +++ b/src/datasets_preview_backend/models/row.py @@ -1 +1 @@ -import functools +import itertools @@ -3 +2,0 @@ import logging -import time @@ -8,2 +7,2 @@ from datasets import Dataset, DownloadMode, IterableDataset, load_dataset -from datasets_preview_backend.config import EXTRACT_ROWS_LIMIT -from datasets_preview_backend.exceptions import Status400Error +from datasets_preview_backend.config import ROWS_MAX_NUMBER +from datasets_preview_backend.utils import retry @@ -17,26 +16,3 @@ Row = Dict[str, Any] -def retry(func): - """retries with an increasing sleep before every attempt""" - SLEEPS = [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 - - -@retry -def extract_rows( - dataset_name: str, config_name: str, split_name: str, num_rows: int, hf_token: Optional[str] = None +@retry(logger=logger) +def get_rows( + dataset_name: str, config_name: str, split_name: str, hf_token: Optional[str] = None, streaming: bool = True @@ -44 +20 @@ def extract_rows( - iterable_dataset = load_dataset( + dataset = load_dataset( @@ -52,46 +28,14 @@ def extract_rows( - if not isinstance(iterable_dataset, IterableDataset): - raise TypeError("load_dataset should return an IterableDataset") - return list(iterable_dataset.take(num_rows)) - - -def get_rows(dataset_name: str, config_name: str, split_name: str, hf_token: Optional[str] = None) -> List[Row]: - num_rows = EXTRACT_ROWS_LIMIT - try: - rows = extract_rows(dataset_name, config_name, split_name, num_rows, hf_token) - except Exception as err: - raise Status400Error("Cannot get the first rows for the split.", err) from err - if len(rows) != num_rows: - logger.info( - f"could not read all the required rows ({len(rows)} / {num_rows}) from dataset {dataset_name} -" - f" {config_name} - {split_name}" - ) - return rows - - -def get_rows_without_streaming( - dataset_name: str, - config_name: str, - split_name: str, - hf_token: Optional[str] = None, -) -> List[Row]: - num_rows = EXTRACT_ROWS_LIMIT - try: - dataset = load_dataset( - dataset_name, - name=config_name, - split=split_name, - use_auth_token=hf_token, - ) - if not isinstance(dataset, Dataset): - raise TypeError("load_dataset should return a Dataset") - d = dataset[:num_rows] - size = len(next(iter(d.values()))) - rows = [{col: d[col][i] for col in d} for i in range(size)] - except Exception as err: - raise Status400Error("Cannot get the first rows for the split.", err) from err - if len(rows) != num_rows: - logger.info( - f"could not read all the required rows ({len(rows)} / {num_rows}) from dataset {dataset_name} -" - f" {config_name} - {split_name}" - ) - return rows + if streaming: + if not isinstance(dataset, IterableDataset): + raise TypeError("load_dataset should return an IterableDataset") + elif not isinstance(dataset, Dataset): + raise TypeError("load_dataset should return a Dataset") + rows_plus_one = list(itertools.islice(dataset, ROWS_MAX_NUMBER + 1)) + # ^^ to be able to detect if a split has exactly DEFAULT_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] + # ^^ note that DEFAULT_ROWS_MAX_BYTES is not enforced here, but in typed_row.py + # after the type of the fields is known (ie: the row can be converted to JSON) diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index bb38a256..496ed65d 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -4,0 +5 @@ from datasets import DatasetInfo +from datasets_preview_backend.exceptions import Status400Error @@ -6,5 +7 @@ from datasets_preview_backend.models.column import Column, get_columns -from datasets_preview_backend.models.row import ( - Row, - get_rows, - get_rows_without_streaming, -) +from datasets_preview_backend.models.row import Row, get_rows @@ -39,6 +36,10 @@ def get_typed_rows_and_columns( - rows = get_rows(dataset_name, config_name, split_name, hf_token) - except Exception: - if fallback: - rows = get_rows_without_streaming(dataset_name, config_name, split_name, hf_token) - else: - raise + try: + rows = get_rows(dataset_name, config_name, split_name, hf_token, streaming=True) + except Exception: + if fallback: + rows = get_rows(dataset_name, config_name, split_name, hf_token, streaming=False) + else: + raise + except Exception as err: + raise Status400Error("Cannot get the first rows for the split.", err) from err + diff --git a/src/datasets_preview_backend/routes/_utils.py b/src/datasets_preview_backend/routes/_utils.py index 34acbe7d..c3cf36d6 100644 --- a/src/datasets_preview_backend/routes/_utils.py +++ b/src/datasets_preview_backend/routes/_utils.py @@ -1 +0,0 @@ -import base64 @@ -4 +2,0 @@ from typing import Any -import orjson @@ -7,6 +5 @@ from starlette.responses import JSONResponse, Response - -# 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 +from datasets_preview_backend.utils import orjson_dumps @@ -17 +10 @@ class OrjsonResponse(JSONResponse): - return orjson.dumps(content, option=orjson.OPT_UTC_Z, default=orjson_default) + return orjson_dumps(content) diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index ecff5ef4..f1d9834b 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -6 +6 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS +from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS, ROWS_MAX_BYTES @@ -23 +23,3 @@ async def rows_endpoint(request: Request) -> Response: - rows_response, rows_error, status_code = get_rows_response(dataset_name, config_name, split_name) + rows_response, rows_error, status_code = get_rows_response( + dataset_name, config_name, split_name, ROWS_MAX_BYTES + ) diff --git a/src/datasets_preview_backend/utils.py b/src/datasets_preview_backend/utils.py index 048a8785..3dd1a969 100644 --- a/src/datasets_preview_backend/utils.py +++ b/src/datasets_preview_backend/utils.py @@ -0,0 +1,3 @@ +import base64 +import functools +import time @@ -1,0 +5 @@ from distutils.util import strtobool +from logging import Logger @@ -3 +7 @@ from os import _Environ -from typing import Dict, Union +from typing import Any, Dict, Union @@ -4,0 +9 @@ from typing import Dict, Union +import orjson @@ -42,0 +48,37 @@ def get_str_or_none_value(d: GenericDict, key: str, default: Union[str, None]) - + + +# 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 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/tests/models/test_row.py b/tests/models/test_row.py index b8c72fe2..e942afcf 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -3 +3 @@ from PIL import Image # type: ignore -from datasets_preview_backend.config import EXTRACT_ROWS_LIMIT +from datasets_preview_backend.config import ROWS_MAX_NUMBER @@ -10 +10 @@ def test_get_rows() -> None: - assert len(rows) == EXTRACT_ROWS_LIMIT + assert len(rows) == ROWS_MAX_NUMBER @@ -21 +21 @@ def test_mnist() -> None: - assert len(rows) == EXTRACT_ROWS_LIMIT + assert len(rows) == ROWS_MAX_NUMBER @@ -27 +27 @@ def test_cifar() -> None: - assert len(rows) == EXTRACT_ROWS_LIMIT + assert len(rows) == ROWS_MAX_NUMBER @@ -33 +33 @@ def test_iter_archive() -> None: - assert len(rows) == EXTRACT_ROWS_LIMIT + assert len(rows) == ROWS_MAX_NUMBER @@ -41 +41 @@ def test_iter_archive() -> None: -# assert len(rows) == EXTRACT_ROWS_LIMIT +# assert len(rows) == ROWS_MAX_NUMBER @@ -47 +47 @@ def test_txt_zip() -> None: - assert len(rows) == EXTRACT_ROWS_LIMIT + assert len(rows) == ROWS_MAX_NUMBER @@ -54 +54 @@ def test_txt_zip() -> None: -# assert len(rows) == EXTRACT_ROWS_LIMIT +# assert len(rows) == ROWS_MAX_NUMBER @@ -68 +68 @@ def test_community_with_no_config() -> None: -# assert len(rows) == EXTRACT_ROWS_LIMIT +# assert len(rows) == ROWS_MAX_NUMBER diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index 19bc38b9..dfbb8982 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -1 +1 @@ -from datasets_preview_backend.config import EXTRACT_ROWS_LIMIT +from datasets_preview_backend.config import ROWS_MAX_NUMBER @@ -9 +9 @@ from datasets_preview_backend.models.typed_row import get_typed_rows_and_columns -# assert len(typed_rows) == EXTRACT_ROWS_LIMIT +# assert len(typed_rows) == ROWS_MAX_NUMBER @@ -26 +26 @@ def test_mnist() -> None: - assert len(typed_rows) == EXTRACT_ROWS_LIMIT + assert len(typed_rows) == ROWS_MAX_NUMBER @@ -34 +34 @@ def test_cifar() -> None: - assert len(typed_rows) == EXTRACT_ROWS_LIMIT + assert len(typed_rows) == ROWS_MAX_NUMBER @@ -43 +43 @@ def test_cifar() -> None: -# assert len(typed_rows) == EXTRACT_ROWS_LIMIT +# assert len(typed_rows) == ROWS_MAX_NUMBER @@ -52 +52 @@ def test_iter_archive() -> None: - assert len(typed_rows) == EXTRACT_ROWS_LIMIT + assert len(typed_rows) == ROWS_MAX_NUMBER @@ -59 +59 @@ def test_image_url() -> None: - assert len(typed_rows) == EXTRACT_ROWS_LIMIT + assert len(typed_rows) == ROWS_MAX_NUMBER @@ -67 +67 @@ def test_image_url() -> None: -# assert len(typed_rows) == EXTRACT_ROWS_LIMIT +# assert len(typed_rows) == ROWS_MAX_NUMBER diff --git a/tests/test_app.py b/tests/test_app.py index a7cf862f..73082918 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -187,0 +188,12 @@ def test_get_rows(client: TestClient) -> None: + + +def test_bytes_limit(client: TestClient) -> None: + dataset = "edbeeching/decision_transformer_gym_replay" + config = "hopper-expert-v2" + split = "train" + refresh_split(dataset, config, split) + 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
dacf10188b6eefb4c9623057fe45effab6193f65
Sylvain Lesage
2022-02-23T10:37:06
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 5db3ebe9..54fc4d45 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.22" +version = "0.16.23"
70f99402fb4b2801738def066e72ec451a469f9d
Sylvain Lesage
2022-02-23T10:36:30
feat: 🎸 remove lvwerra/github-code from the blocklist (#159)
diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index c1e96ea9..18c0dd3f 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -48 +47,0 @@ DATASETS_BLOCKLIST: List[str] = [ - "lvwerra/github-code",
741662b83704ddf46364a56c4e0a0cdff28bb696
Sylvain Lesage
2022-02-23T10:29:14
Allow CORS requests when status code is 400
diff --git a/INSTALL.md b/INSTALL.md index ed48be2f..d91b3781 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -115 +115 @@ server { - add_header 'Access-Control-Allow-Origin' '*'; + add_header 'Access-Control-Allow-Origin' '*' always;
4bc0487a37f55dc00901c662bee59e4957759867
Sylvain Lesage
2022-02-22T13:55:57
refactor: 💡 Use datasets' DownloadMode enum (#158)
diff --git a/poetry.lock b/poetry.lock index c6d6e528..68db4ea9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -453 +453 @@ s3 = ["fsspec", "boto3", "botocore", "s3fs"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] @@ -461,2 +461,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "18e3ac0f3eef5427c64fe8461291ab3ec9310aaa" -resolved_reference = "18e3ac0f3eef5427c64fe8461291ab3ec9310aaa" +reference = "8ae21bf6a77175dc803ce2f1b93d18b8fbf45586" +resolved_reference = "8ae21bf6a77175dc803ce2f1b93d18b8fbf45586" @@ -2552 +2552 @@ python-versions = "3.9.6" -content-hash = "9586113e599047d781c097087c5bdcc054f379d67b5f668c5654d21efa793cad" +content-hash = "0f2c07d9358d33fd0590068481b7dc8a0625a6a1945f2f2607367eece1d751df" diff --git a/pyproject.toml b/pyproject.toml index fb0b2f03..5db3ebe9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { git = "https://github.com/huggingface/datasets.git", rev = "18e3ac0f3eef5427c64fe8461291ab3ec9310aaa", extras = [ +datasets = { git = "https://github.com/huggingface/datasets.git", rev = "8ae21bf6a77175dc803ce2f1b93d18b8fbf45586", extras = [ diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index 0b0b499d..c1e96ea9 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -50,2 +49,0 @@ DATASETS_BLOCKLIST: List[str] = [ - -FORCE_REDOWNLOAD: str = "force_redownload" diff --git a/src/datasets_preview_backend/models/dataset.py b/src/datasets_preview_backend/models/dataset.py index dfca71e9..838b18ff 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/src/datasets_preview_backend/models/dataset.py @@ -4 +4 @@ from typing import List, Optional, TypedDict -from datasets import get_dataset_config_names, get_dataset_split_names +from datasets import DownloadMode, get_dataset_config_names, get_dataset_split_names @@ -7 +6,0 @@ from datasets.inspect import SplitsNotFoundError -from datasets_preview_backend.constants import FORCE_REDOWNLOAD @@ -27,4 +26 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No - dataset_name, download_mode=FORCE_REDOWNLOAD, use_auth_token=hf_token # type: ignore - ) - for split_name in get_dataset_split_names( - dataset_name, config_name, use_auth_token=hf_token # type: ignore + dataset_name, download_mode=DownloadMode.FORCE_REDOWNLOAD, use_auth_token=hf_token @@ -31,0 +28 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No + for split_name in get_dataset_split_names(dataset_name, config_name, use_auth_token=hf_token) diff --git a/src/datasets_preview_backend/models/info.py b/src/datasets_preview_backend/models/info.py index 71011688..ef5bc1a7 100644 --- a/src/datasets_preview_backend/models/info.py +++ b/src/datasets_preview_backend/models/info.py @@ -4 +4 @@ from typing import Any, Dict, Optional -from datasets import DatasetInfo, get_dataset_config_info +from datasets import DatasetInfo, DownloadMode, get_dataset_config_info @@ -6 +5,0 @@ from datasets import DatasetInfo, get_dataset_config_info -from datasets_preview_backend.constants import FORCE_REDOWNLOAD @@ -20 +19 @@ def get_info(dataset_name: str, config_name: str, hf_token: Optional[str] = None - download_mode=FORCE_REDOWNLOAD, # type: ignore + download_mode=DownloadMode.FORCE_REDOWNLOAD, diff --git a/src/datasets_preview_backend/models/row.py b/src/datasets_preview_backend/models/row.py index 2b2d6895..50d8b4a9 100644 --- a/src/datasets_preview_backend/models/row.py +++ b/src/datasets_preview_backend/models/row.py @@ -6 +6 @@ from typing import Any, Dict, List, Optional -from datasets import Dataset, IterableDataset, load_dataset +from datasets import Dataset, DownloadMode, IterableDataset, load_dataset @@ -9 +8,0 @@ from datasets_preview_backend.config import EXTRACT_ROWS_LIMIT -from datasets_preview_backend.constants import FORCE_REDOWNLOAD @@ -50 +49 @@ def extract_rows( - download_mode=FORCE_REDOWNLOAD, # type: ignore + download_mode=DownloadMode.FORCE_REDOWNLOAD,
d9099c7ab6f7eec654128291a7bedd31ae071920
Sylvain Lesage
2022-02-22T10:26:02
feat: 🎸 upgrade py7zr and update the safety checks (#156)
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 16a9362d..0c355134 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -38,2 +38,2 @@ jobs: - run: poetry run safety check -i 44652 -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 43453 -i 44716 -i 44717 -i 44715 - # ^^ safety exceptions: py7zr, pillow, numpy + run: poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 + # ^^ safety exceptions: pillow, numpy diff --git a/Makefile b/Makefile index b3c776a0..a21dbd4f 100644 --- a/Makefile +++ b/Makefile @@ -31,2 +31,2 @@ quality: - poetry run safety check -i 44652 -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 43453 -i 44716 -i 44717 -i 44715 -# ^^ safety exceptions: py7zr, pillow, numpy + poetry run safety check -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 44716 -i 44717 -i 44715 +# ^^ safety exceptions: pillow, numpy diff --git a/poetry.lock b/poetry.lock index b0b28f07..c6d6e528 100644 --- a/poetry.lock +++ b/poetry.lock @@ -453 +453 @@ s3 = ["fsspec", "boto3", "botocore", "s3fs"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] @@ -951,0 +952 @@ url = "https://github.com/kpu/kenlm/archive/master.zip" + @@ -1495 +1496 @@ name = "py7zr" -version = "0.16.4" +version = "0.17.4" @@ -1512,0 +1514 @@ check = ["mypy (>=0.812)", "mypy-extensions (>=0.4.1)", "check-manifest", "flake +debug = ["pytest", "pytest-leaks", "pytest-profiling"] @@ -1514 +1516 @@ docs = ["sphinx (>=2.3)", "sphinx-py3doc-enhanced-theme", "sphinx-a4doc", "docut -test = ["pytest", "pytest-benchmark", "pytest-cov", "pytest-timeout", "pytest-remotedata", "pytest-profiling", "pyannotate", "py-cpuinfo", "coverage[toml] (>=5.2)", "coveralls (>=2.1.1)"] +test = ["pytest", "pytest-benchmark", "pytest-cov", "pytest-remotedata", "pytest-timeout", "pyannotate", "py-cpuinfo", "coverage[toml] (>=5.2)", "coveralls (>=2.1.1)"] @@ -2550 +2552 @@ python-versions = "3.9.6" -content-hash = "aaa0067c44c5036881f55f65bd72b7d799a20f9b191a7f62498dcb2dd4451a63" +content-hash = "9586113e599047d781c097087c5bdcc054f379d67b5f668c5654d21efa793cad" @@ -3836,2 +3838,2 @@ py7zr = [ - {file = "py7zr-0.16.4-py3-none-any.whl", hash = "sha256:9b9b062698ca4ef09c4a6ef376a66901132e107c782271623d47afd110f7b362"}, - {file = "py7zr-0.16.4.tar.gz", hash = "sha256:9b584dcd71b0e8c385cc66ae8e370bdbc29d1f07139d5cee770dc221fa338cf9"}, + {file = "py7zr-0.17.4-py3-none-any.whl", hash = "sha256:69489b15f6ed1fdee1380092541f02fba193ea8fb5a854bc6ff9cd78cce3440d"}, + {file = "py7zr-0.17.4.tar.gz", hash = "sha256:1df67edaa8dd1613fc5a7de3354322e7bc75d989d6069924ce2d08bb7fabdd19"}, diff --git a/pyproject.toml b/pyproject.toml index 7681cb35..fb0b2f03 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33 +33 @@ psutil = "^5.8.0" -py7zr = "^0.16.2" +py7zr = "^0.17.4"
5add7efb7e17364125e0bf2aabbe78e25e72c30c
Sylvain Lesage
2022-02-22T10:13:59
feat: 🎸 remove direct dependency to pandas (#155)
diff --git a/poetry.lock b/poetry.lock index 750a0277..b0b28f07 100644 --- a/poetry.lock +++ b/poetry.lock @@ -341 +341 @@ name = "click" -version = "8.0.3" +version = "8.0.4" @@ -376 +376 @@ name = "coverage" -version = "6.3.1" +version = "6.3.2" @@ -453 +453 @@ s3 = ["fsspec", "boto3", "botocore", "s3fs"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "toml (>=0.10.1)", "requests_file (>=1.5.1)", "tldextract 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f54543709237215db38dc4064ce6710f6e974d79
Sylvain Lesage
2022-02-22T10:02:45
refactor: 💡 use datasets' get_dataset_config_info() function (#153)
diff --git a/poetry.lock b/poetry.lock index b7726539..750a0277 100644 --- a/poetry.lock +++ b/poetry.lock @@ -453 +453 @@ s3 = ["fsspec", "boto3", "botocore", "s3fs"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] @@ -461,2 +461,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "99816c6b9aa4c16365235a4c6c0802389a045a13" -resolved_reference = "99816c6b9aa4c16365235a4c6c0802389a045a13" +reference = "18e3ac0f3eef5427c64fe8461291ab3ec9310aaa" +resolved_reference = "18e3ac0f3eef5427c64fe8461291ab3ec9310aaa" @@ -996 +996 @@ name = "librosa" -version = "0.9.0" +version = "0.9.1" @@ -2551 +2551 @@ python-versions = "3.9.6" -content-hash = "0a25604b756b4060053c7a46c7d3a18e0114d4c6b41e6b3c1f7a3975c823680b" +content-hash = "63bff2024869f044025b337640c3d5d238b0af9a4f58eb14b924150f4fd9510c" @@ -3333,2 +3333,2 @@ librosa = [ - {file = "librosa-0.9.0-py3-none-any.whl", hash = "sha256:9ebb22cdbf1445e71d16064b75174f6a74d57b6b4b5a70dacbde48d242f0da03"}, - {file = "librosa-0.9.0.tar.gz", hash = "sha256:cd21675d3b9858f8d1b3b1432b360e368145bed37807e1f13b0711aa8cd390fd"}, + {file = "librosa-0.9.1-py3-none-any.whl", hash = "sha256:c2bb61a8008367cca89a3f1dad352d8e55fe5ca5f7414fb5d5258eb52765db33"}, + {file = "librosa-0.9.1.tar.gz", hash = "sha256:7ed5d6e3f4546e5e3c2840691f9ddc56878f914a35a50060df5fca2b26d4b614"}, diff --git a/pyproject.toml b/pyproject.toml index 6bd6ca81..582f2256 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { git = "https://github.com/huggingface/datasets.git", rev = "99816c6b9aa4c16365235a4c6c0802389a045a13", extras = [ +datasets = { git = "https://github.com/huggingface/datasets.git", rev = "18e3ac0f3eef5427c64fe8461291ab3ec9310aaa", extras = [ diff --git a/src/datasets_preview_backend/models/column/__init__.py b/src/datasets_preview_backend/models/column/__init__.py index f93ab37b..3713ad56 100644 --- a/src/datasets_preview_backend/models/column/__init__.py +++ b/src/datasets_preview_backend/models/column/__init__.py @@ -1 +1,3 @@ -from typing import Any, Dict, List, Union +from typing import List, Union + +from datasets import DatasetInfo, Features @@ -21 +22,0 @@ from datasets_preview_backend.models.column.image_array3d import ImageArray3DCol -from datasets_preview_backend.models.column.image_bytes import ImageBytesColumn @@ -25 +25,0 @@ from datasets_preview_backend.models.column.string import StringColumn -from datasets_preview_backend.models.info import Info @@ -32 +31,0 @@ column_classes = [ - ImageBytesColumn, @@ -42 +40,0 @@ column_classes = [ -Features = Dict[str, Any] @@ -48,7 +45,0 @@ MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK = EXTRACT_ROWS_LIMIT -def get_features(info: Info) -> FeaturesOrNone: - try: - return None if info["features"] is None else dict(info["features"].items()) - except Exception as err: - raise Status400Error("features could not be extracted from dataset config info", err) from err - - @@ -72,3 +63,2 @@ def get_column(column_name: str, features: FeaturesOrNone, rows: List[Row]) -> C -def get_columns(info: Info, rows: List[Row]) -> List[Column]: - features = get_features(info) - if features is None: +def get_columns(info: DatasetInfo, rows: List[Row]) -> List[Column]: + if info.features is None: @@ -80,5 +70,5 @@ def get_columns(info: Info, rows: List[Row]) -> List[Column]: - column_names = list(features.keys()) - # check, just in case - if features and rows and features.keys() != rows[0].keys(): - raise Status400Error("columns from features and first row don't match") - return [get_column(column_name, features, rows) for column_name in column_names] + 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] diff --git a/src/datasets_preview_backend/models/column/audio.py b/src/datasets_preview_backend/models/column/audio.py index 56f412f2..ab18733b 100644 --- a/src/datasets_preview_backend/models/column/audio.py +++ b/src/datasets_preview_backend/models/column/audio.py @@ -2,0 +3 @@ from typing import Any, List +from datasets import Audio @@ -13 +13,0 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, @@ -40,4 +40,2 @@ class AudioColumn(Column): - try: - check_feature_type(feature, "Audio", []) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not isinstance(feature, Audio): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/bool.py b/src/datasets_preview_backend/models/column/bool.py index 9858b231..3e1259c6 100644 --- a/src/datasets_preview_backend/models/column/bool.py +++ b/src/datasets_preview_backend/models/column/bool.py @@ -10 +10 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, + check_dtype, @@ -29,4 +29,2 @@ class BoolColumn(Column): - try: - check_feature_type(feature, "Value", ["bool"]) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not check_dtype(feature, ["bool"]): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/class_label.py b/src/datasets_preview_backend/models/column/class_label.py index b0c1c425..5c7d7878 100644 --- a/src/datasets_preview_backend/models/column/class_label.py +++ b/src/datasets_preview_backend/models/column/class_label.py @@ -2,0 +3,2 @@ from typing import Any, List +from datasets import ClassLabel + @@ -10 +11,0 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, @@ -26,5 +27,3 @@ class ClassLabelColumn(Column): - try: - check_feature_type(feature, "ClassLabel", []) - self.labels = [str(name) for name in feature["names"]] - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not isinstance(feature, ClassLabel): + raise ColumnTypeError("feature type mismatch") + self.labels = feature.names diff --git a/src/datasets_preview_backend/models/column/default.py b/src/datasets_preview_backend/models/column/default.py index 10a46aa2..fbbad72b 100644 --- a/src/datasets_preview_backend/models/column/default.py +++ b/src/datasets_preview_backend/models/column/default.py @@ -3,0 +4,2 @@ from typing import Any, List, TypedDict +from datasets import Value + @@ -62,5 +64,4 @@ class ColumnInferenceError(Exception): -def check_feature_type(value: Any, type: str, dtypes: List[str]) -> None: - if "_type" not in value or value["_type"] != type: - raise TypeError("_type is not the expected value") - if dtypes and ("dtype" not in value or value["dtype"] not in dtypes): - raise TypeError("dtype is not the expected value") +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/src/datasets_preview_backend/models/column/float.py b/src/datasets_preview_backend/models/column/float.py index 53d90c86..a6089474 100644 --- a/src/datasets_preview_backend/models/column/float.py +++ b/src/datasets_preview_backend/models/column/float.py @@ -10 +10 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, + check_dtype, @@ -29,12 +29,9 @@ class FloatColumn(Column): - try: - check_feature_type( - feature, - "Value", - [ - "float16", - "float32", - "float64", - ], - ) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not check_dtype( + feature, + [ + "float16", + "float32", + "float64", + ], + ): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/image.py b/src/datasets_preview_backend/models/column/image.py index efe1592d..321b5a1d 100644 --- a/src/datasets_preview_backend/models/column/image.py +++ b/src/datasets_preview_backend/models/column/image.py @@ -3 +3,2 @@ from typing import Any, List -from PIL import Image # type: ignore +from datasets import Image +from PIL import Image as PILImage # type: ignore @@ -13 +13,0 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, @@ -20 +20 @@ def check_value(value: Any) -> None: - if not isinstance(value, Image.Image): + if not isinstance(value, PILImage.Image): @@ -34,4 +34,2 @@ class ImageColumn(Column): - try: - check_feature_type(feature, "Image", []) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not isinstance(feature, Image): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/image_array2d.py b/src/datasets_preview_backend/models/column/image_array2d.py index 7982f240..11a4f460 100644 --- a/src/datasets_preview_backend/models/column/image_array2d.py +++ b/src/datasets_preview_backend/models/column/image_array2d.py @@ -3,0 +4 @@ import numpy # type: ignore +from datasets import Array2D @@ -14 +15 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, + check_dtype, @@ -43,4 +44,2 @@ class ImageArray2DColumn(Column): - try: - check_feature_type(feature, "Array2D", ["uint8"]) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not check_dtype(feature, ["uint8"], Array2D): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/image_array3d.py b/src/datasets_preview_backend/models/column/image_array3d.py index a386bf5f..14f4a5bf 100644 --- a/src/datasets_preview_backend/models/column/image_array3d.py +++ b/src/datasets_preview_backend/models/column/image_array3d.py @@ -3,0 +4 @@ import numpy # type: ignore +from datasets import Array3D @@ -14 +15 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, + check_dtype, @@ -45,4 +46,2 @@ class ImageArray3DColumn(Column): - try: - check_feature_type(feature, "Array3D", ["uint8"]) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not check_dtype(feature, ["uint8"], Array3D): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/image_bytes.py b/src/datasets_preview_backend/models/column/image_bytes.py deleted file mode 100644 index 439a8e03..00000000 --- a/src/datasets_preview_backend/models/column/image_bytes.py +++ /dev/null @@ -1,60 +0,0 @@ -from typing import Any, List - -from datasets_preview_backend.io.asset import create_asset_file -from datasets_preview_backend.models.column.default import ( - Cell, - CellTypeError, - Column, - ColumnInferenceError, - ColumnType, - ColumnTypeError, - check_feature_type, -) - -COLUMN_NAMES = ["image"] - - -def check_value(value: Any) -> None: - if value is not None: - try: - filename = value["filename"] - data = value["data"] - except Exception as e: - raise CellTypeError("image cell must contain 'filename' and 'data' fields") from e - - if type(filename) != str: - raise CellTypeError("'filename' field must be a string") - if type(data) != bytes: - raise CellTypeError("'data' field must be a bytes") - - -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 ImageBytesColumn(Column): - def __init__(self, name: str, feature: Any, values: List[Any]): - if name not in COLUMN_NAMES: - raise ColumnTypeError("feature name mismatch") - if feature: - try: - check_feature_type(feature["filename"], "Value", ["string"]) - check_feature_type(feature["data"], "Value", ["binary"]) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e - else: - infer_from_values(values) - self.name = name - self.type = ColumnType.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) - filename = value["filename"] - data = value["data"] - # this function can raise, we don't catch it - return create_asset_file(dataset_name, config_name, split_name, row_idx, self.name, filename, data) diff --git a/src/datasets_preview_backend/models/column/image_url.py b/src/datasets_preview_backend/models/column/image_url.py index b99411c9..a03a44ed 100644 --- a/src/datasets_preview_backend/models/column/image_url.py +++ b/src/datasets_preview_backend/models/column/image_url.py @@ -10 +10 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, + check_dtype, @@ -33,4 +33,2 @@ class ImageUrlColumn(Column): - try: - check_feature_type(feature, "Value", ["string"]) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not check_dtype(feature, ["string"]): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/int.py b/src/datasets_preview_backend/models/column/int.py index ad4891b5..d67a1322 100644 --- a/src/datasets_preview_backend/models/column/int.py +++ b/src/datasets_preview_backend/models/column/int.py @@ -10 +10 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, + check_dtype, @@ -29,17 +29,14 @@ class IntColumn(Column): - try: - check_feature_type( - feature, - "Value", - [ - "int8", - "int16", - "int32", - "int64", - "uint8", - "uint16", - "uint32", - "uint64", - ], - ) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not check_dtype( + feature, + [ + "int8", + "int16", + "int32", + "int64", + "uint8", + "uint16", + "uint32", + "uint64", + ], + ): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/column/string.py b/src/datasets_preview_backend/models/column/string.py index f6c24c1f..9495146d 100644 --- a/src/datasets_preview_backend/models/column/string.py +++ b/src/datasets_preview_backend/models/column/string.py @@ -10 +10 @@ from datasets_preview_backend.models.column.default import ( - check_feature_type, + check_dtype, @@ -29,4 +29,2 @@ class StringColumn(Column): - try: - check_feature_type(feature, "Value", ["string", "large_string"]) - except Exception as e: - raise ColumnTypeError("feature type mismatch") from e + if not check_dtype(feature, ["string", "large_string"]): + raise ColumnTypeError("feature type mismatch") diff --git a/src/datasets_preview_backend/models/info.py b/src/datasets_preview_backend/models/info.py index 0014d79e..71011688 100644 --- a/src/datasets_preview_backend/models/info.py +++ b/src/datasets_preview_backend/models/info.py @@ -2 +1,0 @@ import logging -from dataclasses import asdict @@ -5 +4 @@ from typing import Any, Dict, Optional -from datasets import load_dataset_builder +from datasets import DatasetInfo, get_dataset_config_info @@ -15 +14 @@ Info = Dict[str, Any] -def get_info(dataset_name: str, config_name: str, hf_token: Optional[str] = None) -> Info: +def get_info(dataset_name: str, config_name: str, hf_token: Optional[str] = None) -> DatasetInfo: @@ -18,3 +17,5 @@ def get_info(dataset_name: str, config_name: str, hf_token: Optional[str] = None - # TODO: use get_dataset_infos if https://github.com/huggingface/datasets/issues/3013 is fixed - builder = load_dataset_builder( - dataset_name, name=config_name, download_mode=FORCE_REDOWNLOAD, use_auth_token=hf_token # type: ignore + info = get_dataset_config_info( + dataset_name, + config_name=config_name, + download_mode=FORCE_REDOWNLOAD, # type: ignore + use_auth_token=hf_token, @@ -22,3 +22,0 @@ def get_info(dataset_name: str, config_name: str, hf_token: Optional[str] = None - info = asdict(builder.info) - if "splits" in info and info["splits"] is not None: - info["splits"] = dict(info["splits"].items()) diff --git a/src/datasets_preview_backend/models/split.py b/src/datasets_preview_backend/models/split.py index 97a7c6b3..840ffb34 100644 --- a/src/datasets_preview_backend/models/split.py +++ b/src/datasets_preview_backend/models/split.py @@ -32,4 +32 @@ def get_split( - max_size_fallback is not None - and "size_in_bytes" in info - and isinstance(info["size_in_bytes"], int) - and info["size_in_bytes"] < max_size_fallback + max_size_fallback is not None and info.size_in_bytes is not None and info.size_in_bytes < max_size_fallback @@ -39,2 +36,4 @@ def get_split( - num_bytes = info["splits"][split_name]["num_bytes"] - num_examples = info["splits"][split_name]["num_examples"] + if info.splits is None: + raise Exception("no splits in info") + num_bytes = info.splits[split_name].num_bytes + num_examples = info.splits[split_name].num_examples diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index eaec0ef9..bb38a256 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -2,0 +3,2 @@ from typing import List, Optional, Tuple +from datasets import DatasetInfo + @@ -4 +5,0 @@ from datasets_preview_backend.models.column import Column, get_columns -from datasets_preview_backend.models.info import Info @@ -33 +34 @@ def get_typed_rows_and_columns( - info: Info, + info: DatasetInfo, diff --git a/tests/models/test_info.py b/tests/models/test_info.py index e77b04fb..59bf7ab4 100644 --- a/tests/models/test_info.py +++ b/tests/models/test_info.py @@ -6 +6 @@ def test_get_info() -> None: - assert "features" in info + assert info.features is not None @@ -11 +11 @@ def test_get_info_no_dataset_info_file() -> None: - assert "features" in info + assert info.features is not None diff --git a/tests/models/test_row.py b/tests/models/test_row.py index d70bada1..b8c72fe2 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -65,4 +65,5 @@ def test_community_with_no_config() -> None: -def test_audio_dataset() -> None: - rows = get_rows("common_voice", "tr", "train") - assert len(rows) == EXTRACT_ROWS_LIMIT - assert rows[0]["audio"]["sampling_rate"] == 48000 +# Temporarily disable (related to https://github.com/huggingface/datasets/issues/3663 ?) +# def test_audio_dataset() -> None: +# rows = get_rows("common_voice", "tr", "train") +# assert len(rows) == EXTRACT_ROWS_LIMIT +# assert rows[0]["audio"]["sampling_rate"] == 48000 diff --git a/tests/models/test_split.py b/tests/models/test_split.py new file mode 100644 index 00000000..d8482266 --- /dev/null +++ b/tests/models/test_split.py @@ -0,0 +1,14 @@ +from datasets_preview_backend.models.split import get_split + +# TODO: test fallback +# TODO: test token + + +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 diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index 1988d8a4..19bc38b9 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -63,9 +63,10 @@ def test_image_url() -> None: -def test_audio_dataset() -> None: - info = get_info("common_voice", "tr") - typed_rows, columns = get_typed_rows_and_columns("common_voice", "tr", "train", info) - assert len(typed_rows) == EXTRACT_ROWS_LIMIT - assert columns[2].type == ColumnType.AUDIO_RELATIVE_SOURCES - assert len(typed_rows[0]["audio"]) == 2 - assert typed_rows[0]["audio"][0]["type"] == "audio/mpeg" - assert typed_rows[0]["audio"][1]["type"] == "audio/wav" - assert typed_rows[0]["audio"][0]["src"] == "assets/common_voice/--/tr/train/0/audio/audio.mp3" +# Temporarily disable (related to https://github.com/huggingface/datasets/issues/3663 ?) +# def test_audio_dataset() -> None: +# info = get_info("common_voice", "tr") +# typed_rows, columns = get_typed_rows_and_columns("common_voice", "tr", "train", info) +# assert len(typed_rows) == EXTRACT_ROWS_LIMIT +# assert columns[2].type == ColumnType.AUDIO_RELATIVE_SOURCES +# assert len(typed_rows[0]["audio"]) == 2 +# assert typed_rows[0]["audio"][0]["type"] == "audio/mpeg" +# assert typed_rows[0]["audio"][1]["type"] == "audio/wav" +# assert typed_rows[0]["audio"][0]["src"] == "assets/common_voice/--/tr/train/0/audio/audio.mp3"
ba8b0cff9b57481a11754800a2d727adc19194df
Sylvain Lesage
2022-02-21T10:57:14
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 2615d177..6bd6ca81 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.21" +version = "0.16.22"
56abb046c475c4fa492019dc10eba30e7d5767bb
Sylvain Lesage
2022-02-21T10:55:10
test: 💍 remove unused import (#152)
diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index efbe84ec..1988d8a4 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -1,2 +0,0 @@ -import pytest -
25d5f31446ae4a52292f5e24185e5a687b10faba
Sylvain Lesage
2022-02-21T10:51:07
test: 💍 fix default value for headers (#151)
diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 47638c6f..2e3f5449 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -369 +369 @@ def refresh_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] - raise err + raise @@ -373 +373 @@ def refresh_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] - raise err + raise @@ -435 +435 @@ def refresh_split( - raise err + raise @@ -441 +441 @@ def refresh_split( - raise err + raise @@ -466,2 +466,3 @@ def get_splits_response(dataset_name: str) -> Tuple[Union[SplitsResponse, None], - except DoesNotExist: - raise Status400Error("Not found. Maybe the cache is missing, or maybe the dataset does not exist.") + except DoesNotExist as e: + raise Status400Error("Not found. Maybe the cache is missing, or maybe the dataset does not exist.") from e + @@ -489,2 +490,3 @@ def get_rows_response( - except DoesNotExist: - raise Status400Error("Not found. Maybe the cache is missing, or maybe the split does not exist.") + except DoesNotExist as e: + raise Status400Error("Not found. Maybe the cache is missing, or maybe the split does not exist.", e) from e + diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index 4e305e23..e8c3f001 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -141,2 +141,2 @@ AnyJob = TypeVar("AnyJob", DatasetJob, SplitJob) # Must be DatasetJob or SplitJ -# isfull -# isempty +# is full +# is empty @@ -229,2 +229,2 @@ def finish_started_jobs(jobs: QuerySet[AnyJob], job_id: str, success: bool) -> N - except (DoesNotExist, ValidationError): - raise JobNotFound("the job does not exist") + except (DoesNotExist, ValidationError) as e: + raise JobNotFound("the job does not exist") from e diff --git a/src/datasets_preview_backend/models/column/__init__.py b/src/datasets_preview_backend/models/column/__init__.py index 422b4196..f93ab37b 100644 --- a/src/datasets_preview_backend/models/column/__init__.py +++ b/src/datasets_preview_backend/models/column/__init__.py @@ -50 +50 @@ def get_features(info: Info) -> FeaturesOrNone: - return None if info["features"] is None else {name: feature for (name, feature) in info["features"].items()} + return None if info["features"] is None else dict(info["features"].items()) @@ -52 +52 @@ def get_features(info: Info) -> FeaturesOrNone: - raise Status400Error("features could not be extracted from dataset config info", err) + raise Status400Error("features could not be extracted from dataset config info", err) from err diff --git a/src/datasets_preview_backend/models/column/audio.py b/src/datasets_preview_backend/models/column/audio.py index 47dc49a9..56f412f2 100644 --- a/src/datasets_preview_backend/models/column/audio.py +++ b/src/datasets_preview_backend/models/column/audio.py @@ -22,2 +22,2 @@ def check_value(value: Any) -> None: - except Exception: - raise CellTypeError("audio cell must contain 'path' and 'array' fields") + except Exception as e: + raise CellTypeError("audio cell must contain 'path' and 'array' fields") from e @@ -42,2 +42,2 @@ class AudioColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/bool.py b/src/datasets_preview_backend/models/column/bool.py index cd97a009..9858b231 100644 --- a/src/datasets_preview_backend/models/column/bool.py +++ b/src/datasets_preview_backend/models/column/bool.py @@ -31,2 +31,2 @@ class BoolColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/class_label.py b/src/datasets_preview_backend/models/column/class_label.py index a3136508..b0c1c425 100644 --- a/src/datasets_preview_backend/models/column/class_label.py +++ b/src/datasets_preview_backend/models/column/class_label.py @@ -29,2 +29,2 @@ class ClassLabelColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/float.py b/src/datasets_preview_backend/models/column/float.py index d1c938fd..53d90c86 100644 --- a/src/datasets_preview_backend/models/column/float.py +++ b/src/datasets_preview_backend/models/column/float.py @@ -39,2 +39,2 @@ class FloatColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/image.py b/src/datasets_preview_backend/models/column/image.py index 849312b8..efe1592d 100644 --- a/src/datasets_preview_backend/models/column/image.py +++ b/src/datasets_preview_backend/models/column/image.py @@ -36,2 +36,2 @@ class ImageColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/image_array2d.py b/src/datasets_preview_backend/models/column/image_array2d.py index e554864c..7982f240 100644 --- a/src/datasets_preview_backend/models/column/image_array2d.py +++ b/src/datasets_preview_backend/models/column/image_array2d.py @@ -45,2 +45,2 @@ class ImageArray2DColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/image_array3d.py b/src/datasets_preview_backend/models/column/image_array3d.py index 8bfd5339..a386bf5f 100644 --- a/src/datasets_preview_backend/models/column/image_array3d.py +++ b/src/datasets_preview_backend/models/column/image_array3d.py @@ -47,2 +47,2 @@ class ImageArray3DColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/image_bytes.py b/src/datasets_preview_backend/models/column/image_bytes.py index 039a4bc5..439a8e03 100644 --- a/src/datasets_preview_backend/models/column/image_bytes.py +++ b/src/datasets_preview_backend/models/column/image_bytes.py @@ -22,2 +22,3 @@ def check_value(value: Any) -> None: - except Exception: - raise CellTypeError("image cell must contain 'filename' and 'data' fields") + except Exception as e: + raise CellTypeError("image cell must contain 'filename' and 'data' fields") from e + @@ -45,2 +46,2 @@ class ImageBytesColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/image_url.py b/src/datasets_preview_backend/models/column/image_url.py index 3e74be90..b99411c9 100644 --- a/src/datasets_preview_backend/models/column/image_url.py +++ b/src/datasets_preview_backend/models/column/image_url.py @@ -35,2 +35,2 @@ class ImageUrlColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/int.py b/src/datasets_preview_backend/models/column/int.py index bffb8554..ad4891b5 100644 --- a/src/datasets_preview_backend/models/column/int.py +++ b/src/datasets_preview_backend/models/column/int.py @@ -44,2 +44,2 @@ class IntColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/column/string.py b/src/datasets_preview_backend/models/column/string.py index 23f3c2d1..f6c24c1f 100644 --- a/src/datasets_preview_backend/models/column/string.py +++ b/src/datasets_preview_backend/models/column/string.py @@ -31,2 +31,2 @@ class StringColumn(Column): - except Exception: - raise ColumnTypeError("feature type mismatch") + except Exception as e: + raise ColumnTypeError("feature type mismatch") from e diff --git a/src/datasets_preview_backend/models/dataset.py b/src/datasets_preview_backend/models/dataset.py index ea2d573d..dfca71e9 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/src/datasets_preview_backend/models/dataset.py @@ -35 +35 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No - raise Status400Error("Cannot get the split names for the dataset.", err.__cause__) + raise Status400Error("Cannot get the split names for the dataset.", err.__cause__) from err @@ -37 +37 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No - raise Status400Error("Cannot get the split names for the dataset.", err) + raise Status400Error("Cannot get the split names for the dataset.", err) from err diff --git a/src/datasets_preview_backend/models/info.py b/src/datasets_preview_backend/models/info.py index b21e5f3d..0014d79e 100644 --- a/src/datasets_preview_backend/models/info.py +++ b/src/datasets_preview_backend/models/info.py @@ -26 +26 @@ def get_info(dataset_name: str, config_name: str, hf_token: Optional[str] = None - raise Status400Error("Cannot get the metadata info for the config.", err) + raise Status400Error("Cannot get the metadata info for the config.", err) from err diff --git a/src/datasets_preview_backend/models/row.py b/src/datasets_preview_backend/models/row.py index 460b22b8..2b2d6895 100644 --- a/src/datasets_preview_backend/models/row.py +++ b/src/datasets_preview_backend/models/row.py @@ -63 +63 @@ def get_rows(dataset_name: str, config_name: str, split_name: str, hf_token: Opt - raise Status400Error("Cannot get the first rows for the split.", err) + raise Status400Error("Cannot get the first rows for the split.", err) from err @@ -92 +92 @@ def get_rows_without_streaming( - raise Status400Error("Cannot get the first rows for the split.", err) + raise Status400Error("Cannot get the first rows for the split.", err) from err diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index 7a805754..eaec0ef9 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -39 +39 @@ def get_typed_rows_and_columns( - except Exception as err: + except Exception: @@ -43 +43 @@ def get_typed_rows_and_columns( - raise err + raise diff --git a/tests/middleware/test_token.py b/tests/middleware/test_token.py index b5647118..bc6aa7b0 100644 --- a/tests/middleware/test_token.py +++ b/tests/middleware/test_token.py @@ -9 +9,3 @@ from datasets_preview_backend.middleware.token import get_token -def build_request(headers: Dict[str, str] = {}) -> Request: +def build_request(headers: Dict[str, str] = None) -> Request: + if headers is None: + headers = {}
9a203b2cd11a34af3e7c7859f61bcd1cd14da6e8
Sylvain Lesage
2022-02-21T10:29:08
feat: 🎸 force all the rows to have the same set of columns (#150)
diff --git a/src/datasets_preview_backend/models/column/__init__.py b/src/datasets_preview_backend/models/column/__init__.py index 5e62c7dc..422b4196 100644 --- a/src/datasets_preview_backend/models/column/__init__.py +++ b/src/datasets_preview_backend/models/column/__init__.py @@ -57 +57,4 @@ def get_column(column_name: str, features: FeaturesOrNone, rows: List[Row]) -> C - values = [row[column_name] for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK] if column_name in row] + 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 @@ -71,2 +73,0 @@ def get_columns(info: Info, rows: List[Row]) -> List[Column]: - - # order @@ -77,5 +78 @@ def get_columns(info: Info, rows: List[Row]) -> List[Column]: - column_names = list( - dict.fromkeys( - column_name for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK] for column_name in row.keys() - ) - ) + column_names = list(rows[0].keys()) @@ -83,0 +81,3 @@ def get_columns(info: Info, rows: List[Row]) -> List[Column]: + # check, just in case + if features and rows and features.keys() != rows[0].keys(): + raise Status400Error("columns from features and first row don't match") diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index 1aecd409..7a805754 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -17,2 +16,0 @@ def get_typed_row( - if column.name in row - else None
f904de3e36254e374d115fbe21479bd6310e3a08
Sylvain Lesage
2022-02-18T20:34:06
Remove unused import
diff --git a/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index 0ed6eb5d..efbe84ec 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -4 +3,0 @@ from datasets_preview_backend.config import EXTRACT_ROWS_LIMIT -from datasets_preview_backend.exceptions import Status400Error
542da82873536704851552458225e4a1c6e5365b
Sylvain Lesage
2022-02-18T20:26:40
test: 💍 fix test on head_qa (#149)
diff --git a/tests/io/test_cache.py b/tests/io/test_cache.py index ff6d60aa..f8164a4c 100644 --- a/tests/io/test_cache.py +++ b/tests/io/test_cache.py @@ -97,2 +97,2 @@ def test_column_order() -> None: - refresh_split("head_qa", "en", "train") - rows_response, error, status_code = get_rows_response("head_qa", "en", "train") + refresh_split("acronym_identification", "default", "train") + rows_response, error, status_code = get_rows_response("acronym_identification", "default", "train") @@ -104 +104,3 @@ def test_column_order() -> None: - assert rows_response["columns"][6]["column"]["name"] == "image" + 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/tests/models/test_typed_row.py b/tests/models/test_typed_row.py index 46d785aa..0ed6eb5d 100644 --- a/tests/models/test_typed_row.py +++ b/tests/models/test_typed_row.py @@ -42,7 +42,8 @@ def test_cifar() -> None: -def test_head_qa() -> None: - info = get_info("head_qa", "en") - typed_rows, columns = get_typed_rows_and_columns("head_qa", "en", "train", info) - assert len(typed_rows) == EXTRACT_ROWS_LIMIT - assert typed_rows[0]["image"] is None - assert columns[6].name == "image" - assert columns[6].type == ColumnType.RELATIVE_IMAGE_URL +# disable until https://github.com/huggingface/datasets/issues/3758 is fixed +# def test_head_qa() -> None: +# info = get_info("head_qa", "es") +# typed_rows, columns = get_typed_rows_and_columns("head_qa", "es", "train", info) +# assert len(typed_rows) == EXTRACT_ROWS_LIMIT +# assert typed_rows[0]["image"] is None +# assert columns[6].name == "image" +# assert columns[6].type == ColumnType.RELATIVE_IMAGE_URL @@ -65,7 +65,0 @@ def test_image_url() -> None: -def test_community_with_no_config() -> None: - info = get_info("Check/region_1", "Check--region_1") - with pytest.raises(Status400Error): - # see https://github.com/huggingface/datasets-preview-backend/issues/78 - get_typed_rows_and_columns("Check/region_1", "Check--region_1", "train", info) - -
7562a811be030052870913f404d81bc7c8a46c33
Sylvain Lesage
2022-02-18T14:18:53
feat: 🎸 block a new dataset
diff --git a/pyproject.toml b/pyproject.toml index 5fe3174d..2615d177 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.20" +version = "0.16.21" diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index 7b616054..0b0b499d 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -47,0 +48 @@ DATASETS_BLOCKLIST: List[str] = [ + "lvwerra/github-code",
d36021052086fcfc03435f860663291c34a0fc93
Sylvain Lesage
2022-02-18T13:54:43
feat: 🎸 Add an endpoint to get only the current queue jobs (#148)
diff --git a/README.md b/README.md index 38e0d513..318105fa 100644 --- a/README.md +++ b/README.md @@ -373,0 +374,28 @@ Responses: +### /queue-dump-waiting-started + +> Give the queue entries, classed by status, only for "waiting" and "started" statuses + +Example: https://datasets-preview.huggingface.tech/queue-dump-waiting-started + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which the queue content, by status, with the following structure: + +```json +{ + "datasets": { + "waiting": [], + "started": [] + }, + "splits": { + "waiting": [], + "started": [] + }, + "created_at": "2022-01-20T13:59:03Z" +} +``` + diff --git a/pyproject.toml b/pyproject.toml index a51ea5fb..5fe3174d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.19" +version = "0.16.20" diff --git a/src/datasets_preview_backend/app.py b/src/datasets_preview_backend/app.py index 772572f9..378f8aff 100644 --- a/src/datasets_preview_backend/app.py +++ b/src/datasets_preview_backend/app.py @@ -25 +25,4 @@ from datasets_preview_backend.routes.hf_datasets import ( -from datasets_preview_backend.routes.queue_dump import queue_dump_endpoint +from datasets_preview_backend.routes.queue_dump import ( + queue_dump_endpoint, + queue_dump_waiting_started_endpoint, +) @@ -52,0 +56 @@ def create_app() -> Starlette: + Route("/queue-dump-waiting-started", endpoint=queue_dump_waiting_started_endpoint), diff --git a/src/datasets_preview_backend/io/queue.py b/src/datasets_preview_backend/io/queue.py index 7c903c0d..4e305e23 100644 --- a/src/datasets_preview_backend/io/queue.py +++ b/src/datasets_preview_backend/io/queue.py @@ -66 +66,2 @@ class CountByStatus(TypedDict): -class DumpByStatus(TypedDict): +# All the fields are optional +class DumpByStatus(TypedDict, total=False): @@ -298 +299,6 @@ def get_dump_with_status(jobs: QuerySet[AnyJob], status: Status) -> List[JobDict -def get_dump_by_status(jobs: QuerySet[AnyJob]) -> DumpByStatus: +def get_dump_by_status(jobs: QuerySet[AnyJob], waiting_started: bool = False) -> DumpByStatus: + if waiting_started: + return { + "waiting": get_dump_with_status(jobs, Status.WAITING), + "started": get_dump_with_status(jobs, Status.STARTED), + } @@ -308,2 +314,2 @@ def get_dump_by_status(jobs: QuerySet[AnyJob]) -> DumpByStatus: -def get_dataset_dump_by_status() -> DumpByStatus: - return get_dump_by_status(DatasetJob.objects) +def get_dataset_dump_by_status(waiting_started: bool = False) -> DumpByStatus: + return get_dump_by_status(DatasetJob.objects, waiting_started) @@ -312,2 +318,2 @@ def get_dataset_dump_by_status() -> DumpByStatus: -def get_split_dump_by_status() -> DumpByStatus: - return get_dump_by_status(SplitJob.objects) +def get_split_dump_by_status(waiting_started: bool = False) -> DumpByStatus: + return get_dump_by_status(SplitJob.objects, waiting_started) diff --git a/src/datasets_preview_backend/routes/queue_dump.py b/src/datasets_preview_backend/routes/queue_dump.py index 6a05c776..3ea7c788 100644 --- a/src/datasets_preview_backend/routes/queue_dump.py +++ b/src/datasets_preview_backend/routes/queue_dump.py @@ -27,0 +28,13 @@ async def queue_dump_endpoint(_: Request) -> Response: + + +async def queue_dump_waiting_started_endpoint(_: Request) -> Response: + logger.info("/queue-dump-waiting-started") + return get_response( + { + "datasets": get_dataset_dump_by_status(waiting_started=True), + "splits": get_split_dump_by_status(waiting_started=True), + "created_at": time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime()), + }, + 200, + MAX_AGE_SHORT_SECONDS, + )
a98f857a5de11863bee1acb65b7d31180270789e
Sylvain Lesage
2022-02-15T17:41:52
fix: 🐛 preserve order of the columns when infered from the rows (#146)
diff --git a/pyproject.toml b/pyproject.toml index 5c10d2a2..a51ea5fb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.18" +version = "0.16.19" diff --git a/src/datasets_preview_backend/models/column/__init__.py b/src/datasets_preview_backend/models/column/__init__.py index f0f610da..5e62c7dc 100644 --- a/src/datasets_preview_backend/models/column/__init__.py +++ b/src/datasets_preview_backend/models/column/__init__.py @@ -78 +78,3 @@ def get_columns(info: Info, rows: List[Row]) -> List[Column]: - {column_name for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK] for column_name in row.keys()} + dict.fromkeys( + column_name for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK] for column_name in row.keys() + )
93c218ec21099779d11078accf96e7e75606c193
Sylvain Lesage
2022-02-15T17:31:40
chore: 🤖 bump version
diff --git a/pyproject.toml b/pyproject.toml index 7a3357a0..5c10d2a2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.17" +version = "0.16.18"
18a91c8310c42ba6fe936fde128f17cbe0835be1
Sylvain Lesage
2022-02-15T17:31:04
Allow missing columns (#145)
diff --git a/src/datasets_preview_backend/models/column/__init__.py b/src/datasets_preview_backend/models/column/__init__.py index 1c6f2f2a..f0f610da 100644 --- a/src/datasets_preview_backend/models/column/__init__.py +++ b/src/datasets_preview_backend/models/column/__init__.py @@ -57,5 +57 @@ def get_column(column_name: str, features: FeaturesOrNone, rows: List[Row]) -> C - try: - values = [row[column_name] for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK]] - except KeyError: - # see https://datasets-preview.huggingface.tech/queue - raise Status400Error("could not get the config name for this dataset") + values = [row[column_name] for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK] if column_name in row] @@ -76,2 +71,0 @@ def get_columns(info: Info, rows: List[Row]) -> List[Column]: - if features is None and not rows: - return [] @@ -79,4 +73,9 @@ def get_columns(info: Info, rows: List[Row]) -> List[Column]: - column_names = list(features.keys()) if features is not None else list(rows[0].keys()) - # check, just in case - if features and rows and features.keys() != rows[0].keys(): - raise Status400Error("columns from features and first row don't match") + if features is None: + if not rows: + return [] + else: + column_names = list( + {column_name for row in rows[:MAX_ROWS_FOR_TYPE_INFERENCE_AND_CHECK] for column_name in row.keys()} + ) + else: + column_names = list(features.keys()) diff --git a/src/datasets_preview_backend/models/typed_row.py b/src/datasets_preview_backend/models/typed_row.py index 1e3e8e9f..1aecd409 100644 --- a/src/datasets_preview_backend/models/typed_row.py +++ b/src/datasets_preview_backend/models/typed_row.py @@ -16,0 +17,2 @@ def get_typed_row( + if column.name in row + else None @@ -46 +47,0 @@ def get_typed_rows_and_columns( - # columns_dicts = column.as_dict() for column in columns]
0f83b5cbb415175034cc0a93fa7cbb4774e11d68
Sylvain Lesage
2022-02-15T15:34:30
feat: 🎸 upgrade datasets and pin pandas to <1.4 (#142)
diff --git a/poetry.lock b/poetry.lock index c3112cd4..b7726539 100644 --- a/poetry.lock +++ b/poetry.lock @@ -169 +169 @@ name = "azure-core" -version = "1.22.0" +version = "1.22.1" @@ -330 +330 @@ name = "charset-normalizer" -version = "2.0.11" +version = "2.0.12" @@ -422,2 +422,2 @@ name = "datasets" -version = "1.18.3" -description = "HuggingFace community-driven open-source library of datasets" +version = "1.18.4.dev0" +description = "" @@ -426,0 +427 @@ python-versions = "*" +develop = false @@ -432 +433 @@ fsspec = {version = ">=2021.05.0", extras = ["http"]} -huggingface-hub = ">=0.1.0,<1.0.0" +huggingface_hub = ">=0.1.0,<1.0.0" @@ -445 +445,0 @@ xxhash = "*" -apache-beam = ["apache-beam (>=2.26.0)"] @@ -447,5 +447,2 @@ audio = ["librosa"] -benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"] -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (==21.4b0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] -docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] -quality = ["black (==21.4b0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] -s3 = ["fsspec", "boto3", "botocore", "s3fs"] +vision = ["Pillow (>=6.2.1)"] +apache-beam = ["apache-beam (>=2.26.0)"] @@ -454 +450,0 @@ 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", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] @@ -456 +452,11 @@ torch = ["torch"] -vision = ["Pillow (>=6.2.1)"] +s3 = ["fsspec", "boto3", "botocore", "s3fs"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch (<8.0.0)", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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)"] +docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] + +[package.source] +type = "git" +url = "https://github.com/huggingface/datasets.git" +reference = "99816c6b9aa4c16365235a4c6c0802389a045a13" +resolved_reference = "99816c6b9aa4c16365235a4c6c0802389a045a13" @@ -527,0 +534,15 @@ tqdm = "*" +[[package]] +name = "elastic-transport" +version = 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e010e4e5c1896d76916a9fd4ec9ec60a05e52e65
Sylvain Lesage
2022-02-11T16:47:36
ci: 🎡 apt update before installing packages (#141)
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index 9eb288d4..16a9362d 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -24 +24 @@ jobs: - run: sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm + run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm diff --git a/.github/workflows/unit-tests.yml b/.github/workflows/unit-tests.yml index a35164f2..f2be90d7 100644 --- a/.github/workflows/unit-tests.yml +++ b/.github/workflows/unit-tests.yml @@ -24 +24 @@ jobs: - run: sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm + run: sudo apt update; sudo apt install -y libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm
f29e9fd5559404596bb825f57ac5016b19033fd9
Sylvain Lesage
2022-02-11T16:24:29
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index fc015772..b0721907 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.15" +version = "0.16.16"
64f4ea0a80f36edcc6030d6d806b703c5794fa8a
Sylvain Lesage
2022-02-11T16:23:57
feat: 🎸 change the meaning of a "valid" dataset (#140)
diff --git a/README.md b/README.md index bab4fa12..38e0d513 100644 --- a/README.md +++ b/README.md @@ -211 +211 @@ Beware: a "dataset" is considered valid if it has fetched correctly the configs -> Give the list of the valid datasets. A dataset is considered valid if `/splits` and `/rows` for all the splits return a valid response. Note that stalled cache entries are considered 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 stalled cache entries are considered valid. @@ -232 +232 @@ Responses: -> Tells if a dataset is valid. A dataset is considered valid if `/splits` and `/rows` for all the splits return a valid response. Note that stalled cache entries are considered 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 stalled cache entries are considered valid. diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 45f6ba98..47638c6f 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -525 +525 @@ def is_dataset_valid_or_stalled(dataset: DbDataset) -> bool: - return all(split.status in [Status.VALID, Status.STALLED] for split in splits) + return any(split.status in [Status.VALID, Status.STALLED] for split in splits)
625019172d2bb34f98b0f4e7a5b51adff642cd7e
Sylvain Lesage
2022-02-09T07:43:46
feat: 🎸 upgrade dependencies (#138)
diff --git a/poetry.lock b/poetry.lock index ceb47d20..c3112cd4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3 +3 @@ name = "absl-py" -version = "0.15.0" +version = "1.0.0" @@ -7 +7 @@ optional = false -python-versions = "*" +python-versions = ">=3.6" @@ -62 +62 @@ name = "apache-beam" -version = "2.35.0" +version = "2.36.0" @@ -68,0 +69 @@ python-versions = ">=3.6" +cloudpickle = ">=2.0.0,<3" @@ -75 +76 @@ httplib2 = ">=0.8,<0.20.0" -numpy = ">=1.14.3,<1.21.0" +numpy = ">=1.14.3,<1.22.0" @@ -86 +87 @@ requests = ">=2.24.0,<3.0.0" -typing-extensions = ">=3.7.0,<4" +typing-extensions = ">=3.7.0" @@ -93 +94 @@ 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-auth (>=1.18.0,<3)", "google-cloud-datastore (>=1.8.0,<2)", "google-cloud-pubsub (>=0.39.0,<2)", "google-cloud-bigquery (>=1.6.0,<3)", "google-cloud-bigquery-storage (>=2.6.3)", "google-cloud-core (>=0.28.1,<2)", "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,<=0.2.0)"] +gcp = ["cachetools (>=3.1.0,<5)", "google-apitools (>=0.5.31,<0.5.32)", "google-auth (>=1.18.0,<3)", "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)", "google-cloud-core (>=0.28.1,<2)", "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,<=0.2.0)"] @@ -95 +96 @@ interactive = ["facets-overview (>=1.0.0,<2)", "ipython (>=7,<8)", "ipykernel (> -interactive_test = ["nbformat (>=5.0.5,<6)", "nbconvert (>=6.2.0,<7)", "selenium (>=3.141.0,<4)", "needle (>=0.5.0,<1)", "chromedriver-binary (>=93,<94)", "pillow (>=7.1.1,<8)"] +interactive_test = ["nbformat (>=5.0.5,<6)", "nbconvert (>=6.2.0,<7)", "selenium (>=3.141.0,<4)", "needle (>=0.5.0,<1)", "chromedriver-binary (>=96,<97)", "pillow (>=7.1.1,<8)"] @@ -168 +169 @@ name = "azure-core" -version = "1.21.1" +version = "1.22.0" @@ -172 +173 @@ optional = false -python-versions = "*" +python-versions = ">=3.6" @@ -242 +243 @@ name = "black" -version = "21.7b0" +version = "22.1.0" @@ -249,2 +250 @@ python-versions = ">=3.6.2" -appdirs = "*" -click = ">=7.1.2" +click = ">=8.0.0" @@ -252,3 +252,4 @@ mypy-extensions = ">=0.4.3" -pathspec = ">=0.8.1,<1" -regex = ">=2020.1.8" -tomli = ">=0.2.6,<2.0.0" +pathspec = ">=0.9.0" +platformdirs = ">=2" +tomli = ">=1.1.0" +typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""} @@ -258,2 +259,2 @@ colorama = ["colorama (>=0.4.3)"] -d = ["aiohttp (>=3.6.0)", "aiohttp-cors (>=0.4.0)"] -python2 = ["typed-ast (>=1.4.2)"] +d = ["aiohttp (>=3.7.4)"] +jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] @@ -294 +295 @@ name = "cachetools" -version = "4.2.4" +version = "5.0.0" @@ -298 +299 @@ optional = false -python-versions = "~=3.5" +python-versions = "~=3.7" @@ -339,3 +340,3 @@ unicode_backport = ["unicodedata2"] -name = "clang" -version = "5.0" -description = "libclang python bindings" +name = "click" +version = "8.0.3" +description = "Composable command line interface toolkit" @@ -344 +345,4 @@ optional = false -python-versions = "*" +python-versions = ">=3.6" + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} @@ -347,3 +351,3 @@ python-versions = "*" -name = "click" -version = "7.1.2" -description = "Composable command line interface toolkit" +name = "cloudpickle" +version = "2.0.0" +description = "Extended pickling support for Python objects" @@ -352 +356 @@ optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +python-versions = ">=3.6" @@ -591 +595 @@ name = "flatbuffers" -version = "1.12" +version = "2.0" @@ -669 +673 @@ name = "gast" -version = "0.4.0" +version = "0.5.3" @@ -714 +718 @@ name = "google-auth" -version = "1.35.0" +version = "2.6.0" @@ -721 +725 @@ python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*" -cachetools = ">=2.0.0,<5.0" +cachetools = ">=2.0.0,<6.0" @@ -781 +785 @@ name = "h5py" -version = "3.1.0" +version = "3.6.0" @@ -785 +789 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -788 +792 @@ python-versions = ">=3.6" -numpy = {version = ">=1.19.3", markers = "python_version >= \"3.9\""} +numpy = ">=1.14.5" @@ -932,2 +936,2 @@ name = "keras" -version = "2.6.0" -description = "TensorFlow Keras." +version = "2.8.0" +description = "Deep learning for humans." @@ -962,0 +967,8 @@ python-versions = ">=3" +[[package]] +name = "libclang" +version = "13.0.0" +description = "Clang Python Bindings, mirrored from the official LLVM repo: https://github.com/llvm/llvm-project/tree/main/clang/bindings/python, to make the installation process easier." +category = "main" +optional = false +python-versions = "*" + @@ -965 +977 @@ name = "librosa" -version = "0.8.1" +version = "0.9.0" @@ -972,2 +984,2 @@ python-versions = ">=3.6" -audioread = ">=2.0.0" -decorator = ">=3.0.0" +audioread = ">=2.1.5" +decorator = ">=4.0.10" @@ -975,2 +987,2 @@ joblib = ">=0.14" -numba = ">=0.43.0" -numpy = ">=1.15.0" +numba = ">=0.45.1" +numpy = ">=1.17.0" @@ -980,2 +992,2 @@ resampy = ">=0.2.2" -scikit-learn = ">=0.14.0,<0.19.0 || >0.19.0" -scipy = ">=1.0.0" +scikit-learn = ">=0.19.1" +scipy = ">=1.2.0" @@ -985,3 +997,3 @@ soundfile = ">=0.10.2" -display = ["matplotlib (>=1.5)"] -docs = ["numpydoc", "sphinx (!=1.3.1)", "sphinx-rtd-theme (>=0.5.0,<0.6.0)", "numba (<0.50)", "matplotlib (>=2.0.0,<3.3)", "sphinx-multiversion (>=0.2.3)", "sphinx-gallery (>=0.7)", "spinxcontrib-svg2pdfconverter", "presets"] -tests = ["matplotlib (>=3.0)", "pytest-mpl", "pytest-cov", "pytest", "contextlib2", "samplerate", "soxr"] +display = ["matplotlib (>=3.3.0)"] +docs = ["numpydoc", "sphinx (!=1.3.1)", "sphinx-rtd-theme (>=0.5.0,<0.6.0)", "numba (<0.50)", "matplotlib (>=3.3.0)", "sphinx-multiversion (>=0.2.3)", "sphinx-gallery (>=0.7)", "mir-eval (>=0.5)", "ipython (>=7.0)", "sphinxcontrib-svg2pdfconverter", "presets"] +tests = ["matplotlib (>=3.3.0)", "pytest-mpl", "pytest-cov", "pytest", "contextlib2", "samplerate", "soxr"] @@ -1230 +1242 @@ name = "numpy" -version = "1.19.5" +version = "1.21.5" @@ -1234 +1246 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7,<3.11" @@ -1309,54 +1320,0 @@ pyparsing = ">=2.0.2,<3.0.5 || >3.0.5" -[[package]] -name = "pandas" -version = "1.3.3" -description = "Powerful data structures for data analysis, time series, and statistics" -category = "main" -optional = false -python-versions = ">=3.7.1" - -[package.dependencies] -numpy = ">=1.17.3" -python-dateutil = ">=2.7.3" -pytz = ">=2017.3" - -[package.extras] -test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"] - -[[package]] -name = "pandas" -version = "1.3.4" -description = "Powerful data structures for data analysis, time series, and statistics" -category = "main" -optional = false -python-versions = ">=3.7.1" - -[package.dependencies] -numpy = [ - {version = ">=1.17.3", 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\""}, -] -python-dateutil = ">=2.7.3" -pytz = ">=2017.3" - -[package.extras] -test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"] - -[[package]] -name = "pandas" -version = "1.3.5" -description = "Powerful data structures for data analysis, time series, and statistics" -category = "main" -optional = false -python-versions = ">=3.7.1" - -[package.dependencies] -numpy = [ - {version = ">=1.17.3", 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\""}, -] -python-dateutil = ">=2.7.3" -pytz = ">=2017.3" - -[package.extras] -test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"] - @@ -1374,0 +1333 @@ numpy = [ + {version = ">=1.20.0", markers = "platform_machine == \"arm64\" and python_version < \"3.10\""}, @@ -1392 +1351 @@ name = "pbr" -version = "5.8.0" +version = "5.8.1" @@ -1405,0 +1365,12 @@ python-versions = ">=3.6" +[[package]] +name = "platformdirs" +version = "2.4.1" +description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." +category = "dev" +optional = false +python-versions = ">=3.7" + +[package.extras] +docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"] +test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock (>=3.6)"] + @@ -1465 +1436 @@ name = "proto-plus" -version = "1.19.9" +version = "1.20.0" @@ -1588 +1559 @@ name = "pycryptodomex" -version = "3.14.0" +version = "3.14.1" @@ -1963 +1934 @@ name = "scipy" -version = "1.7.3" +version = "1.8.0" @@ -1967 +1938 @@ optional = false -python-versions = ">=3.7,<3.11" +python-versions = ">=3.8,<3.11" @@ -1970 +1941 @@ python-versions = ">=3.7,<3.11" -numpy = ">=1.16.5,<1.23.0" +numpy = ">=1.17.3,<1.25.0" @@ -2012 +1983 @@ name = "six" -version = "1.15.0" +version = "1.16.0" @@ -2094 +2065 @@ name = "tensorboard" -version = "2.6.0" +version = "2.8.0" @@ -2102 +2073 @@ absl-py = ">=0.4" -google-auth = ">=1.6.3,<2" +google-auth = ">=1.6.3,<3" @@ -2131 +2102 @@ name = "tensorflow" -version = "2.6.2" +version = "2.8.0" @@ -2138,12 +2109,12 @@ python-versions = "*" -absl-py = ">=0.10,<1.0" -astunparse = ">=1.6.3,<1.7.0" -clang = ">=5.0,<6.0" -flatbuffers = ">=1.12.0,<1.13.0" -gast = "0.4.0" -google-pasta = ">=0.2,<1.0" -grpcio = ">=1.37.0,<2.0" -h5py = ">=3.1.0,<3.2.0" -keras = ">=2.6.0,<2.7" -keras-preprocessing = ">=1.1.2,<1.2.0" -numpy = ">=1.19.2,<1.20.0" -opt-einsum = ">=3.3.0,<3.4.0" +absl-py = ">=0.4.0" +astunparse = ">=1.6.0" +flatbuffers = ">=1.12" +gast = ">=0.2.1" +google-pasta = ">=0.1.1" +grpcio = ">=1.24.3,<2.0" +h5py = ">=2.9.0" +keras = ">=2.8.0rc0,<2.9" +keras-preprocessing = ">=1.1.1" +libclang = ">=9.0.1" +numpy = ">=1.20" +opt-einsum = ">=2.3.2" @@ -2151,6 +2122,7 @@ protobuf = ">=3.9.2" -six = ">=1.15.0,<1.16.0" -tensorboard = ">=2.6.0,<2.7" -tensorflow-estimator = ">=2.6.0,<2.7" -termcolor = ">=1.1.0,<1.2.0" -typing-extensions = ">=3.7.4,<3.8.0" -wrapt = ">=1.12.1,<1.13.0" +six = ">=1.12.0" +tensorboard = ">=2.8,<2.9" +tensorflow-io-gcs-filesystem = ">=0.23.1" +termcolor = ">=1.1.0" +tf-estimator-nightly = "2.8.0.dev2021122109" +typing-extensions = ">=3.6.6" +wrapt = ">=1.11.0" @@ -2159,3 +2131,3 @@ wrapt = ">=1.12.1,<1.13.0" -name = "tensorflow-estimator" -version = "2.6.0" -description = "TensorFlow Estimator." +name = "tensorflow-io-gcs-filesystem" +version = "0.24.0" +description = "TensorFlow IO" @@ -2164 +2136,8 @@ optional = false -python-versions = "*" +python-versions = ">=3.7, <3.11" + +[package.extras] +tensorflow = ["tensorflow (>=2.8.0,<2.9.0)"] +tensorflow-aarch64 = ["tensorflow-aarch64 (>=2.8.0,<2.9.0)"] +tensorflow-cpu = ["tensorflow-cpu (>=2.8.0,<2.9.0)"] +tensorflow-gpu = ["tensorflow-gpu (>=2.8.0,<2.9.0)"] +tensorflow-rocm = ["tensorflow-rocm (>=2.8.0,<2.9.0)"] @@ -2181,0 +2161,8 @@ python-versions = "*" +[[package]] +name = "tf-estimator-nightly" +version = "2.8.0.dev2021122109" +description = "TensorFlow Estimator." +category = "main" +optional = false +python-versions = "*" + @@ -2225 +2212 @@ name = "tomli" -version = "1.2.3" +version = "2.0.1" @@ -2229 +2216 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -2368 +2355 @@ name = "typer" -version = "0.3.2" +version = "0.4.0" @@ -2375 +2362 @@ python-versions = ">=3.6" -click = ">=7.1.1,<7.2.0" +click = ">=7.1.1,<9.0.0" @@ -2378 +2364,0 @@ click = ">=7.1.1,<7.2.0" -test = ["pytest-xdist (>=1.32.0,<2.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "mypy (==0.782)", "black (>=19.10b0,<20.0b0)", "isort (>=5.0.6,<6.0.0)", "shellingham (>=1.3.0,<2.0.0)", "pytest (>=4.4.0,<5.4.0)", "pytest-cov (>=2.10.0,<3.0.0)", "coverage (>=5.2,<6.0)"] @@ -2381,0 +2368 @@ doc = ["mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=5.4.0,<6.0.0)", "markdown- +test = ["shellingham (>=1.3.0,<2.0.0)", "pytest (>=4.4.0,<5.4.0)", "pytest-cov (>=2.10.0,<3.0.0)", "coverage (>=5.2,<6.0)", "pytest-xdist (>=1.32.0,<2.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "mypy (==0.910)", "black (>=19.10b0,<20.0b0)", "isort (>=5.0.6,<6.0.0)"] @@ -2404 +2391 @@ name = "types-urllib3" -version = "1.26.8" +version = "1.26.9" @@ -2412,2 +2399,2 @@ name = 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1e828573b36a0938159079ef92ea30b8d060a479
Sylvain Lesage
2022-02-04T15:48:08
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 6f2f6740..59f8dc65 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.14" +version = "0.16.15"
aa86c5493b275c9e2dbae7dab7bd469da5773a41
Sylvain Lesage
2022-02-04T15:44:18
feat: 🎸 add num_bytes and num_examples to splits (#137)
diff --git a/README.md b/README.md index 7ae3e756..bab4fa12 100644 --- a/README.md +++ b/README.md @@ -531,3 +531,21 @@ Responses: - { "dataset": "glue", "config": "cola", "split": "test" }, - { "dataset": "glue", "config": "cola", "split": "train" }, - { "dataset": "glue", "config": "cola", "split": "validation" } + { + "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 + } @@ -541,0 +560,2 @@ Responses: +Note that the value of `"num_bytes"` and `"num_examples"` is set to `null` if the data is not available. + diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index c1d32b8b..45f6ba98 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -94,0 +95,2 @@ class SplitItem(TypedDict): + num_bytes: Optional[int] + num_examples: Optional[int] @@ -105,0 +108,2 @@ class DbSplit(Document): + num_bytes = IntField(min_value=0) + num_examples = IntField(min_value=0) @@ -110 +114,7 @@ class DbSplit(Document): - return {"dataset": self.dataset_name, "config": self.config_name, "split": self.split_name} + return { + "dataset": self.dataset_name, + "config": self.config_name, + "split": self.split_name, + "num_bytes": self.num_bytes, + "num_examples": self.num_examples, + } @@ -300 +310 @@ def upsert_split(dataset_name: str, config_name: str, split_name: str, split: Sp - status=Status.VALID + status=Status.VALID, num_bytes=split["num_bytes"], num_examples=split["num_examples"] diff --git a/src/datasets_preview_backend/models/split.py b/src/datasets_preview_backend/models/split.py index f04f37ec..97a7c6b3 100644 --- a/src/datasets_preview_backend/models/split.py +++ b/src/datasets_preview_backend/models/split.py @@ -16,0 +17,2 @@ class Split(TypedDict): + num_bytes: Optional[int] + num_examples: Optional[int] @@ -36 +38,13 @@ def get_split( - return {"split_name": split_name, "rows": typed_rows, "columns": columns} + try: + num_bytes = info["splits"][split_name]["num_bytes"] + num_examples = info["splits"][split_name]["num_examples"] + except Exception: + num_bytes = None + num_examples = None + return { + "split_name": split_name, + "rows": typed_rows, + "columns": columns, + "num_bytes": num_bytes, + "num_examples": num_examples, + }
cd692251e826c4f7430e0317cace7d22d3fa7254
Sylvain Lesage
2022-02-04T09:28:26
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index fb4d7540..6f2f6740 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.13" +version = "0.16.14"
d4a733adf26eabed61e55d0b1ebc8e36ee895c09
Sylvain Lesage
2022-02-04T09:27:49
feat: 🎸 add an endpoint to get the cache status of HF datasets (#136)
diff --git a/README.md b/README.md index bc9d3a4b..7ae3e756 100644 --- a/README.md +++ b/README.md @@ -251,0 +252,36 @@ Responses: +### /hf-datasets-count-by-cache-status + +> Give statistics about the datasets of the hub + +Example: https://datasets-preview.huggingface.tech/hf-datasets-count-by-cache-status + +Method: `GET` + +Parameters: none + +Responses: + +- `200`: JSON content which gives statistics about the status of the public datasets of the Hub, split by canonical or community, with the following structure: + +```json +{ + "canonical": { + "valid": 0, + "error": 0, + "missing": 1 + }, + "community": { + "valid": 0, + "error": 0, + "missing": 1 + }, + "created_at": "2022-01-20T13:52:05Z" +} +``` + +The meaning is the following: + +- "valid": the list of splits and the 100 first rows of every split are available (maybe stalled) +- "error": the list of splits could not be fetched, or the rows could not be fetched for some splits +- "missing": the list of splits is missing, or the rows are missing for some splits + diff --git a/src/datasets_preview_backend/app.py b/src/datasets_preview_backend/app.py index 9b40bcc9..772572f9 100644 --- a/src/datasets_preview_backend/app.py +++ b/src/datasets_preview_backend/app.py @@ -21 +21,4 @@ from datasets_preview_backend.routes.healthcheck import healthcheck_endpoint -from datasets_preview_backend.routes.hf_datasets import hf_datasets_endpoint +from datasets_preview_backend.routes.hf_datasets import ( + hf_datasets_count_by_cache_status_endpoint, + hf_datasets_endpoint, +) @@ -46,0 +50 @@ def create_app() -> Starlette: + Route("/hf-datasets-count-by-cache-status", endpoint=hf_datasets_count_by_cache_status_endpoint), diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 690ff7f5..c1d32b8b 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -526,0 +527,33 @@ def is_dataset_name_valid_or_stalled(dataset_name: str) -> bool: +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"]), + } + + diff --git a/src/datasets_preview_backend/routes/hf_datasets.py b/src/datasets_preview_backend/routes/hf_datasets.py index 6db6dd0e..65d40b1f 100644 --- a/src/datasets_preview_backend/routes/hf_datasets.py +++ b/src/datasets_preview_backend/routes/hf_datasets.py @@ -6,0 +7 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS +from datasets_preview_backend.io.cache import get_datasets_count_by_cache_status @@ -14 +15 @@ async def hf_datasets_endpoint(_: Request) -> Response: - logger.info("/datasets") + logger.info("/hf-datasets") @@ -16,0 +18,16 @@ async def hf_datasets_endpoint(_: Request) -> Response: + + +def is_community(dataset_name: str) -> bool: + return "/" in dataset_name + + +async def hf_datasets_count_by_cache_status_endpoint(_: Request) -> Response: + logger.info("/hf-datasets-count-by-cache-status") + dataset_names = get_hf_datasets() + canonical = [x["id"] for x in dataset_names if not is_community(x["id"])] + community = [x["id"] for x in dataset_names if is_community(x["id"])] + content = { + "canonical": get_datasets_count_by_cache_status(canonical), + "community": get_datasets_count_by_cache_status(community), + } + return get_response(content, 200, MAX_AGE_LONG_SECONDS)
ef78736eb8113188cb831a4b9e9a478a8172ca40
Sylvain Lesage
2022-02-03T22:02:17
chore: 🤖 bump version
diff --git a/pyproject.toml b/pyproject.toml index fda84114..fb4d7540 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.12" +version = "0.16.13"
ff415e2911aa11f4bf7a4fc52f6dfeef2816fe87
Sylvain Lesage
2022-02-03T22:01:53
feat: 🎸 block 3 datasets
diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index d0b173cc..7b616054 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -44,0 +45,3 @@ DATASETS_BLOCKLIST: List[str] = [ + "echarlaix/gqa-lxmert", + "Graphcore/gqa-lxmert", + "bigscience/P3",
8d68c805b924e3de743f667410ba44a698a69ad2
Sylvain Lesage
2022-02-03T17:13:03
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 52c55981..fda84114 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.11" +version = "0.16.12"
77df5bb0edb44f25888cb3051e9ad2c36d5c099a
Sylvain Lesage
2022-02-03T17:10:57
feat: 🎸 remove the SplitsNotFoundError exception (#135)
diff --git a/src/datasets_preview_backend/exceptions.py b/src/datasets_preview_backend/exceptions.py index 00eb02cc..91c39567 100644 --- a/src/datasets_preview_backend/exceptions.py +++ b/src/datasets_preview_backend/exceptions.py @@ -18 +18 @@ class StatusError(Exception): - def __init__(self, message: str, status_code: int, cause: Optional[Exception] = None): + def __init__(self, message: str, status_code: int, cause: Optional[BaseException] = None): @@ -51 +51 @@ class Status400Error(StatusError): - def __init__(self, message: str, cause: Optional[Exception] = None): + def __init__(self, message: str, cause: Optional[BaseException] = None): @@ -62 +62 @@ class Status500Error(StatusError): - def __init__(self, message: str, cause: Optional[Exception] = None): + def __init__(self, message: str, cause: Optional[BaseException] = None): diff --git a/src/datasets_preview_backend/models/dataset.py b/src/datasets_preview_backend/models/dataset.py index bab09b27..ea2d573d 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/src/datasets_preview_backend/models/dataset.py @@ -4,0 +5 @@ from datasets import get_dataset_config_names, get_dataset_split_names +from datasets.inspect import SplitsNotFoundError @@ -31,0 +33,3 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No + except SplitsNotFoundError as err: + # we bypass the SplitsNotFoundError, as we're interested in the cause + raise Status400Error("Cannot get the split names for the dataset.", err.__cause__)
71762fa0c586cc0f676ccda1063eb08f88f7c65d
Sylvain Lesage
2022-02-03T15:07:41
test: 💍 remove a failing test
diff --git a/tests/models/test_row.py b/tests/models/test_row.py index aad0aea8..d70bada1 100644 --- a/tests/models/test_row.py +++ b/tests/models/test_row.py @@ -37,4 +37,5 @@ def test_iter_archive() -> None: -def test_dl_1_suffix() -> None: - # see https://github.com/huggingface/datasets/pull/2843 - rows = get_rows("discovery", "discovery", "train") - assert len(rows) == EXTRACT_ROWS_LIMIT +# disable for now: see https://github.com/huggingface/datasets/issues/3677 also +# def test_dl_1_suffix() -> None: +# # see https://github.com/huggingface/datasets/pull/2843 +# rows = get_rows("discovery", "discovery", "train") +# assert len(rows) == EXTRACT_ROWS_LIMIT
ae4a2030226e4abe028d8f2a688b26095cb88ebd
Sylvain Lesage
2022-02-03T11:01:33
chore: 🤖 bump version
diff --git a/pyproject.toml b/pyproject.toml index 4ef3ccf4..52c55981 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.10" +version = "0.16.11"
ec64b3bf18d06ce207057a3c1d26762030969791
Sylvain Lesage
2022-02-03T11:00:29
feat: 🎸 add /is-valid endpoint (#134)
diff --git a/README.md b/README.md index 124e1e0f..bc9d3a4b 100644 --- a/README.md +++ b/README.md @@ -229,0 +230,22 @@ Responses: +### /is-valid + +> Tells if a dataset is valid. A dataset is considered valid if `/splits` and `/rows` for all the splits return a valid response. Note that stalled cache entries are considered valid. + +Example: https://datasets-preview.huggingface.tech/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 +} +``` + diff --git a/src/datasets_preview_backend/app.py b/src/datasets_preview_backend/app.py index 5dda810a..9b40bcc9 100644 --- a/src/datasets_preview_backend/app.py +++ b/src/datasets_preview_backend/app.py @@ -27 +27,4 @@ from datasets_preview_backend.routes.splits import splits_endpoint -from datasets_preview_backend.routes.valid import valid_datasets_endpoint +from datasets_preview_backend.routes.valid import ( + is_valid_endpoint, + valid_datasets_endpoint, +) @@ -43,0 +47 @@ def create_app() -> Starlette: + Route("/is-valid", endpoint=is_valid_endpoint), diff --git a/src/datasets_preview_backend/io/cache.py b/src/datasets_preview_backend/io/cache.py index 7bf68cfb..690ff7f5 100644 --- a/src/datasets_preview_backend/io/cache.py +++ b/src/datasets_preview_backend/io/cache.py @@ -517,0 +518,9 @@ def is_dataset_valid_or_stalled(dataset: DbDataset) -> bool: +def is_dataset_name_valid_or_stalled(dataset_name: str) -> bool: + try: + dataset = DbDataset.objects(dataset_name=dataset_name).get() + return is_dataset_valid_or_stalled(dataset) + except DoesNotExist: + return False + # ^ can also raise MultipleObjectsReturned, which should not occur -> we let the exception raise + + diff --git a/src/datasets_preview_backend/routes/valid.py b/src/datasets_preview_backend/routes/valid.py index 90cb7634..dd179bf0 100644 --- a/src/datasets_preview_backend/routes/valid.py +++ b/src/datasets_preview_backend/routes/valid.py @@ -8 +8,5 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.io.cache import get_valid_or_stalled_dataset_names +from datasets_preview_backend.exceptions import Status400Error, StatusError +from datasets_preview_backend.io.cache import ( + get_valid_or_stalled_dataset_names, + is_dataset_name_valid_or_stalled, +) @@ -20,0 +25,14 @@ async def valid_datasets_endpoint(_: Request) -> Response: + + +async def is_valid_endpoint(request: Request) -> Response: + dataset_name = request.query_params.get("dataset") + logger.info(f"/is-valid, dataset={dataset_name}") + try: + if not isinstance(dataset_name, str): + raise Status400Error("Parameter 'dataset' is required") + content = { + "valid": is_dataset_name_valid_or_stalled(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_LONG_SECONDS) diff --git a/tests/test_app.py b/tests/test_app.py index e56a12a6..a7cf862f 100644 --- a/tests/test_app.py +++ b/tests/test_app.py @@ -68,0 +69,21 @@ def test_get_valid_datasets(client: TestClient) -> None: +def test_get_is_valid(client: TestClient) -> None: + response = client.get("/is-valid") + assert response.status_code == 400 + + 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"]) + 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 + + response = client.get("/is-valid", params={"dataset": "doesnotexist"}) + assert response.status_code == 200 + json = response.json() + assert "valid" in json + assert json["valid"] is False + +
48ac19e49c19809763e8d640986bf2c3d792faed
Sylvain Lesage
2022-02-02T17:02:25
chore: 🤖 bump version
diff --git a/pyproject.toml b/pyproject.toml index 3106761b..4ef3ccf4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.9" +version = "0.16.10"
22bd67622186178c50622137a2fe00d467ca7ce9
Sylvain Lesage
2022-02-02T16:56:35
feat: 🎸 upgrade datasets to 1.18.3 (#133)
diff --git a/.github/workflows/quality.yml b/.github/workflows/quality.yml index f097faf1..9eb288d4 100644 --- a/.github/workflows/quality.yml +++ b/.github/workflows/quality.yml @@ -38 +38,2 @@ jobs: - run: poetry run safety check + run: poetry run safety check -i 44652 -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 43453 -i 44716 -i 44717 -i 44715 + # ^^ safety exceptions: py7zr, pillow, numpy diff --git a/Makefile b/Makefile index 7ded8498..b3c776a0 100644 --- a/Makefile +++ b/Makefile @@ -31 +31,2 @@ quality: - poetry run safety check + poetry run safety check -i 44652 -i 44487 -i 44485 -i 44524 -i 44525 -i 44486 -i 43453 -i 44716 -i 44717 -i 44715 +# ^^ safety exceptions: py7zr, pillow, numpy diff --git a/poetry.lock b/poetry.lock index deb035f3..ceb47d20 100644 --- a/poetry.lock +++ b/poetry.lock @@ -108 +108 @@ name = "asgiref" -version = "3.4.1" +version = "3.5.0" @@ -112 +112 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -208 +208 @@ name = "bandit" -version = "1.7.1" +version = "1.7.2" @@ -212 +212 @@ optional = false -python-versions = ">=3.5" +python-versions = ">=3.7" @@ -219,0 +220,5 @@ stevedore = ">=1.20.0" +[package.extras] +test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "pylint (==1.9.4)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "toml"] +toml = ["toml"] +yaml = ["pyyaml"] + @@ -324 +329 @@ name = "charset-normalizer" -version = "2.0.10" +version = "2.0.11" @@ -367 +372 @@ name = "coverage" -version = "6.2" +version = "6.3.1" @@ -371 +376 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -413 +418 @@ name = "datasets" -version = "1.18.2" +version = "1.18.3" @@ -521 +526 @@ name = "elasticsearch" -version = "7.16.2" +version = "7.17.0" @@ -594 +599 @@ name = "frozenlist" -version = "1.2.0" +version = "1.3.0" @@ -598 +603 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -672 +677 @@ name = "gdown" -version = "4.2.0" +version = "4.2.1" @@ -768 +773 @@ name = "h11" -version = "0.12.0" +version = "0.13.0" @@ -848 +853 @@ name = "importlib-metadata" -version = "4.10.0" +version = "4.10.1" @@ -925 +929,0 @@ url = "https://github.com/kpu/kenlm/archive/master.zip" - @@ -987 +991 @@ name = "llvmlite" -version = "0.37.0" +version = "0.38.0" @@ -991 +995 @@ optional = false -python-versions = ">=3.7,<3.10" +python-versions = ">=3.7,<3.11" @@ -1108 +1112 @@ name = "multidict" -version = "5.2.0" +version = "6.0.2" @@ -1112 +1116 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" @@ -1214 +1218 @@ name = "numba" -version = "0.54.1" +version = "0.55.1" @@ -1218 +1222 @@ optional = false -python-versions = ">=3.7,<3.10" +python-versions = ">=3.7,<3.11" @@ -1221,2 +1225,2 @@ python-versions = ">=3.7,<3.10" -llvmlite = ">=0.37.0rc1,<0.38" -numpy = ">=1.17,<1.21" +llvmlite = ">=0.38.0rc1,<0.39" +numpy = ">=1.18,<1.22" @@ -1249 +1253 @@ name = "oauthlib" -version = "3.1.1" +version = "3.2.0" @@ -1256 +1260 @@ python-versions = ">=3.6" -rsa = ["cryptography (>=3.0.0,<4)"] +rsa = ["cryptography (>=3.0.0)"] @@ -1258 +1262 @@ signals = ["blinker (>=1.4.0)"] -signedtoken = ["cryptography (>=3.0.0,<4)", "pyjwt (>=2.0.0,<3)"] +signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] @@ -1288 +1292 @@ name = "orjson" -version = "3.6.5" +version = "3.6.6" @@ -1427,2 +1431,2 @@ name = "pooch" -version = "1.5.2" -description = "Pooch manages your Python library's sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks." +version = "1.6.0" +description = "\"Pooch manages your Python library's sample data files: it automatically downloads and stores them in a local directory, with support for versioning and corruption checks.\"" @@ -1434,3 +1438,8 @@ python-versions = ">=3.6" -appdirs = "*" -packaging = "*" -requests = "*" +appdirs = ">=1.3.0" +packaging = ">=20.0" +requests = ">=2.19.0" + +[package.extras] +progress = ["tqdm (>=4.41.0,<5.0.0)"] +sftp = ["paramiko (>=2.7.0)"] +xxhash = ["xxhash (>=1.4.3)"] @@ -1456 +1465 @@ name = "proto-plus" -version = "1.19.8" +version = "1.19.9" @@ -1470 +1479 @@ name = "protobuf" -version = "3.19.3" +version = "3.19.4" @@ -1579 +1588 @@ name = "pycryptodomex" -version = "3.12.0" +version = "3.14.0" @@ -1633 +1642 @@ name = "pyicu" -version = "2.8" +version = "2.8.1" @@ -1743 +1752 @@ name = "python-arango" -version = "7.3.0" +version = "7.3.1" @@ -1807 +1816 @@ name = "pyzstd" -version = "0.15.1" +version = "0.15.2" @@ -1823 +1832 @@ name = "regex" -version = "2021.11.10" +version = "2022.1.18" @@ -1850 +1859 @@ name = "requests-oauthlib" -version = "1.3.0" +version = "1.3.1" @@ -2188 +2197 @@ name = "threadpoolctl" -version = "3.0.0" +version = "3.1.0" @@ -2196 +2205 @@ name = "tokenizers" -version = "0.10.3" +version = "0.11.4" @@ -2203 +2212,2 @@ python-versions = "*" -testing = ["pytest"] +docs = ["sphinx", "sphinx-rtd-theme", "setuptools-rust"] +testing = ["pytest", "requests", "numpy", "datasets"] @@ -2231 +2241 @@ name = "torch" -version = "1.10.1" +version = "1.10.2" @@ -2242 +2252 @@ name = "torchaudio" -version = "0.10.1" +version = "0.10.2" @@ -2249 +2259 @@ python-versions = "*" -torch = "1.10.1" +torch = "1.10.2" @@ -2269 +2279 @@ name = "transformers" -version = "4.15.0" +version = "4.16.2" @@ -2284 +2294 @@ sacremoses = "*" -tokenizers = ">=0.10.1,<0.11" +tokenizers = ">=0.10.1,<0.11.3 || >0.11.3" @@ -2288,2 +2298,2 @@ tqdm = ">=4.27" -all = ["tensorflow (>=2.3)", "onnxconverter-common", "keras2onnx", "torch (>=1.0)", "jax (>=0.2.8)", "jaxlib (>=0.1.65)", "flax (>=0.3.5)", "optax (>=0.0.8)", "sentencepiece (>=0.1.91,!=0.1.92)", "protobuf", "tokenizers (>=0.10.1,<0.11)", "torchaudio", "librosa", "pyctcdecode (>=0.2.0)", "phonemizer", "pillow", "optuna", "ray", "sigopt", "timm", "codecarbon (==1.2.0)"] -audio = ["librosa", "pyctcdecode (>=0.2.0)", "phonemizer"] +all = 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--git a/pyproject.toml b/pyproject.toml index ca475982..3106761b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { extras = ["audio", "vision"], version = "^1.18.2" } +datasets = { extras = ["audio", "vision"], version = "^1.18.3" }
7a882c5cfe082f1c08ae5669e4d07d206cf6ff2e
Sylvain Lesage
2022-01-28T19:24:13
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index bd0cbb3c..ca475982 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.8" +version = "0.16.9"
ec1e3a6fd1b6e2a6fb0c87eac2d3c07f9525d62d
Sylvain Lesage
2022-01-28T19:23:43
feat: 🎸 reduce cache duration + instruction for nginx cache (#127)
diff --git a/.env.example b/.env.example index bb432cb6..b9bcd4b9 100644 --- a/.env.example +++ b/.env.example @@ -27 +27 @@ -# MAX_AGE_LONG_SECONDS=21600 +# MAX_AGE_LONG_SECONDS=120 @@ -30 +30 @@ -# MAX_AGE_SHORT_SECONDS=120 +# MAX_AGE_SHORT_SECONDS=10 diff --git a/INSTALL.md b/INSTALL.md index dd014032..ed48be2f 100644 --- a/INSTALL.md +++ b/INSTALL.md @@ -123 +123 @@ server { - alias /data/; + alias /data/assets/; @@ -125,0 +126,2 @@ server { + proxy_cache_path /data/nginx/cache levels=1:2 keys_zone=STATIC:50m inactive=24h max_size=1g; + @@ -132 +133,0 @@ server { - proxy_buffering off; @@ -133,0 +135,8 @@ 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 error timeout invalid_header updating http_500 http_502 http_503 http_504; + proxy_cache_background_update on; + proxy_cache_lock on; @@ -138,0 +148,2 @@ server { +sudo mkdir -p /data/assets /data/nginx/cache +sudo chmod -R a+x /data/assets /data/nginx/cache diff --git a/README.md b/README.md index ccbc77e0..124e1e0f 100644 --- a/README.md +++ b/README.md @@ -37,2 +37,2 @@ Set environment variables to configure the following aspects: -- `MAX_AGE_LONG_SECONDS`: number of seconds to set in the `max-age` header on data endpoints. Defaults to `21600` (6 hours). -- `MAX_AGE_SHORT_SECONDS`: number of seconds to set in the `max-age` header on technical endpoints. Defaults to `120` (2 minutes). +- `MAX_AGE_LONG_SECONDS`: number of seconds to set in the `max-age` header on data endpoints. Defaults to `120` (2 minutes). +- `MAX_AGE_SHORT_SECONDS`: number of seconds to set in the `max-age` header on technical endpoints. Defaults to `10` (10 seconds). diff --git a/src/datasets_preview_backend/app.py b/src/datasets_preview_backend/app.py index 986f1c2d..5dda810a 100644 --- a/src/datasets_preview_backend/app.py +++ b/src/datasets_preview_backend/app.py @@ -27 +27 @@ from datasets_preview_backend.routes.splits import splits_endpoint -from datasets_preview_backend.routes.validity_status import valid_datasets_endpoint +from datasets_preview_backend.routes.valid import valid_datasets_endpoint diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index 63782757..d0b173cc 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -10,2 +10,2 @@ DEFAULT_LOG_LEVEL: str = "INFO" -DEFAULT_MAX_AGE_LONG_SECONDS: int = 21600 # 6 * 60 * 60 = 6 hours -DEFAULT_MAX_AGE_SHORT_SECONDS: int = 120 # 2 minutes +DEFAULT_MAX_AGE_LONG_SECONDS: int = 120 # 2 minutes +DEFAULT_MAX_AGE_SHORT_SECONDS: int = 10 # 10 seconds diff --git a/src/datasets_preview_backend/routes/validity_status.py b/src/datasets_preview_backend/routes/valid.py similarity index 80% rename from src/datasets_preview_backend/routes/validity_status.py rename to src/datasets_preview_backend/routes/valid.py index 55b77e99..90cb7634 100644 --- a/src/datasets_preview_backend/routes/validity_status.py +++ b/src/datasets_preview_backend/routes/valid.py @@ -7 +7 @@ from starlette.responses import Response -from datasets_preview_backend.config import MAX_AGE_SHORT_SECONDS +from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS @@ -20 +20 @@ async def valid_datasets_endpoint(_: Request) -> Response: - return get_response(content, 200, MAX_AGE_SHORT_SECONDS) + return get_response(content, 200, MAX_AGE_LONG_SECONDS)
1c8564b75d11d3e04b1afd36c725c37f2d1ea292
Sylvain Lesage
2022-01-28T18:08:17
feat: 🎸 upgrade datasets to 1.18.2 (#126)
diff --git a/poetry.lock b/poetry.lock index f07e14b0..deb035f3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -413 +413 @@ name = "datasets" -version = "1.18.1" +version = "1.18.2" @@ -439 +439 @@ benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "tr -dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (==21.4b0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (==21.4b0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] @@ -445 +445 @@ 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", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] +tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] @@ -2535 +2535 @@ python-versions = "3.9.6" -content-hash = "739a6a20950b99e17d516e4adf042872532adf626654ae1a50365e63c8c66481" +content-hash = "a64a0308a795e22536b38d0906dd1e246d8bcca3464938e28a0a705eaa20d96a" @@ -3010,2 +3010,2 @@ datasets = [ - {file = "datasets-1.18.1-py3-none-any.whl", hash = "sha256:b3582fec332f994d61a0cb8dbc401fd226dc0bd9dd27432ab0bec99c9c15cff1"}, - {file = "datasets-1.18.1.tar.gz", hash = "sha256:d55e7b380f9d3e70cebde07c24f9d449b3190cfc0b4dd4eceabf6a0640b37e1e"}, + {file = "datasets-1.18.2-py3-none-any.whl", hash = "sha256:d0860fcb8bfec657ce962ed952de4dfd50505b9644a80b383fb1f00de605801e"}, + {file = "datasets-1.18.2.tar.gz", hash = "sha256:5c312224cc45b2604be7d4fc68d13fa88e665fb3d442fcd046c730364cc8dae4"}, diff --git a/pyproject.toml b/pyproject.toml index 6d6c7025..bd0cbb3c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { extras = ["audio", "vision"], version = "^1.18.1" } +datasets = { extras = ["audio", "vision"], version = "^1.18.2" }
218e1c0f6373a4862a509399459ec96d530f6437
Sylvain Lesage
2022-01-26T14:59:34
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 42778b5d..6d6c7025 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.7" +version = "0.16.8"
6d42c8dbd40450818e07f14c68de33dcd35d3f03
Sylvain Lesage
2022-01-26T14:58:56
feat: 🎸 upgrade datasets to 1.18.1 (#123)
diff --git a/poetry.lock b/poetry.lock index 375f6294..f07e14b0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -413 +413 @@ name = "datasets" -version = "1.18.0" +version = "1.18.1" @@ -2535 +2535 @@ python-versions = "3.9.6" -content-hash = "f253f58f67fd990c5767d5f2969a5bab2e698c489e4bc8749635ee9541514e9e" +content-hash = "739a6a20950b99e17d516e4adf042872532adf626654ae1a50365e63c8c66481" @@ -3010,2 +3010,2 @@ datasets = [ - {file = "datasets-1.18.0-py3-none-any.whl", hash = "sha256:80b3b3656f734c5a6fab891d0ea7b8e1aeac8fee3449a82904d61a3cf65b7f82"}, - {file = "datasets-1.18.0.tar.gz", hash = "sha256:808907d1180b741d83e5bd7ed7dedb32e5acf2728da401d68384468b141ea22f"}, + {file = "datasets-1.18.1-py3-none-any.whl", hash = "sha256:b3582fec332f994d61a0cb8dbc401fd226dc0bd9dd27432ab0bec99c9c15cff1"}, + {file = "datasets-1.18.1.tar.gz", hash = "sha256:d55e7b380f9d3e70cebde07c24f9d449b3190cfc0b4dd4eceabf6a0640b37e1e"}, diff --git a/pyproject.toml b/pyproject.toml index 36860f22..42778b5d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -15 +15 @@ conllu = "^4.4.1" -datasets = { extras = ["audio", "vision"], version = "^1.18.0" } +datasets = { extras = ["audio", "vision"], version = "^1.18.1" }
8ed83edd1ac137e21174769bcf9bd38ddbac1e14
Sylvain Lesage
2022-01-26T14:16:51
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index b70392b2..36860f22 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.6" +version = "0.16.7"
0941c12649e887a45bceb2043ea296da1a92976f
Sylvain Lesage
2022-01-26T14:15:52
fix: 🐛 the blocked datasets must be blocked at cache invalidati (#120)
diff --git a/src/datasets_preview_backend/models/_guard.py b/src/datasets_preview_backend/models/_guard.py new file mode 100644 index 00000000..3b955bb6 --- /dev/null +++ b/src/datasets_preview_backend/models/_guard.py @@ -0,0 +1,7 @@ +from datasets_preview_backend.constants import DATASETS_BLOCKLIST +from datasets_preview_backend.exceptions import Status400Error + + +def guard_blocked_datasets(dataset_name: str) -> None: + if dataset_name in DATASETS_BLOCKLIST: + raise Status400Error("this dataset is not supported for now.") diff --git a/src/datasets_preview_backend/models/dataset.py b/src/datasets_preview_backend/models/dataset.py index f32073bc..bab09b27 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/src/datasets_preview_backend/models/dataset.py @@ -7,0 +8 @@ from datasets_preview_backend.exceptions import Status400Error +from datasets_preview_backend.models._guard import guard_blocked_datasets @@ -20,0 +22 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No + guard_blocked_datasets(dataset_name) diff --git a/src/datasets_preview_backend/models/split.py b/src/datasets_preview_backend/models/split.py index 8fa64a83..f04f37ec 100644 --- a/src/datasets_preview_backend/models/split.py +++ b/src/datasets_preview_backend/models/split.py @@ -3,0 +4 @@ from typing import List, Optional, TypedDict +from datasets_preview_backend.models._guard import guard_blocked_datasets @@ -25,0 +27 @@ def get_split( + guard_blocked_datasets(dataset_name) diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index 24b5caa9..ecff5ef4 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -7,2 +7 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.constants import DATASETS_BLOCKLIST -from datasets_preview_backend.exceptions import Status400Error, StatusError +from datasets_preview_backend.exceptions import StatusError @@ -24,2 +22,0 @@ async def rows_endpoint(request: Request) -> Response: - if dataset_name in DATASETS_BLOCKLIST: - raise Status400Error("this dataset is not supported for now.") diff --git a/src/datasets_preview_backend/routes/splits.py b/src/datasets_preview_backend/routes/splits.py index 267ccb43..144beb71 100644 --- a/src/datasets_preview_backend/routes/splits.py +++ b/src/datasets_preview_backend/routes/splits.py @@ -7 +6,0 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.constants import DATASETS_BLOCKLIST @@ -22,2 +20,0 @@ async def splits_endpoint(request: Request) -> Response: - if dataset_name in DATASETS_BLOCKLIST: - raise Status400Error("this dataset is not supported for now.")
32a6558d09d8c8d5b367cea1af5a45cc94ae3b99
Sylvain Lesage
2022-01-26T13:43:23
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 29cee174..b70392b2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.5" +version = "0.16.6" @@ -15 +15 @@ conllu = "^4.4.1" -datasets = {extras = ["audio", "vision"], version = "^1.18.0"} +datasets = { extras = ["audio", "vision"], version = "^1.18.0" }
400f121f8afbe7fb1d832c1903248e29facaca12
Sylvain Lesage
2022-01-26T13:42:16
Merge remote-tracking branch 'refs/remotes/origin/master'
4de9a3d9dae198c185f221764a297902d2324199
Sylvain Lesage
2022-01-26T13:42:03
Use last revision for canonical datasets (#119)
diff --git a/.env.example b/.env.example index bd4473ea..bb432cb6 100644 --- a/.env.example +++ b/.env.example @@ -21 +21 @@ -# DATASETS_REVISION="249b4a38390bf1543f5b6e2f3dc208b5689c1c13" +# DATASETS_REVISION="master" diff --git a/README.md b/README.md index ddd522a8..ccbc77e0 100644 --- a/README.md +++ b/README.md @@ -34 +34 @@ Set environment variables to configure the following aspects: -- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `249b4a38390bf1543f5b6e2f3dc208b5689c1c13`. +- `DATASETS_REVISION`: git reference for the canonical datasets on https://github.com/huggingface/datasets. Defaults to `master`. diff --git a/poetry.lock b/poetry.lock index ceda4adf..375f6294 100644 --- a/poetry.lock +++ b/poetry.lock @@ -413,2 +413,2 @@ name = "datasets" -version = "1.17.1.dev0" -description = "" +version = "1.18.0" +description = "HuggingFace community-driven open-source library of datasets" @@ -418 +417,0 @@ python-versions = "*" -develop = false @@ -424 +423 @@ fsspec = {version = ">=2021.05.0", extras = ["http"]} -huggingface_hub = ">=0.1.0,<1.0.0" +huggingface-hub = ">=0.1.0,<1.0.0" @@ -437,2 +435,0 @@ xxhash = "*" -audio = ["librosa"] -vision = ["Pillow (>=6.2.1)"] @@ -439,0 +437,6 @@ apache-beam = ["apache-beam (>=2.26.0)"] +audio = ["librosa"] +benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"] +dev = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "black (==21.4b0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)", "importlib-resources"] +docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] +quality = ["black (==21.4b0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"] +s3 = ["fsspec", "boto3", "botocore", "s3fs"] @@ -441,0 +445 @@ 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", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==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", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert-score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "torchmetrics (==0.6.0)", "mauve-text", "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", "wget (>=3.2)", "pytorch-nlp (==0.5.0)", "pytorch-lightning", "fastBPE (==0.1.0)", "fairseq", "importlib-resources"] @@ -443,11 +447 @@ torch = ["torch"] -s3 = ["fsspec", "boto3", "botocore", "s3fs"] -tests = ["absl-py", "pytest", "pytest-datadir", "pytest-xdist", "apache-beam (>=2.26.0)", "elasticsearch", "aiobotocore", "boto3", "botocore", "faiss-cpu (>=1.6.4)", "fsspec", "moto[s3,server] (==2.0.4)", "rarfile (>=4.0)", "s3fs (==2021.08.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "torch", "torchaudio", "transformers", "bs4", "conllu", "langdetect", "lxml", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "tldextract", "zstandard", "bert_score (>=0.3.6)", "rouge-score", "sacrebleu", "scipy", "seqeval", "scikit-learn", "jiwer", "sentencepiece", "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 (==21.4b0)", "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)"] -docs = ["docutils (==0.16.0)", "recommonmark", "sphinx (==3.1.2)", "sphinx-markdown-tables", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)", "sphinx-copybutton", "fsspec (<2021.9.0)", "s3fs", "sphinx-panels", "sphinx-inline-tabs", "myst-parser", "Markdown (!=3.3.5)"] - -[package.source] -type = "git" -url = "https://github.com/huggingface/datasets.git" -reference = "249b4a38390bf1543f5b6e2f3dc208b5689c1c13" -resolved_reference = "249b4a38390bf1543f5b6e2f3dc208b5689c1c13" +vision = ["Pillow (>=6.2.1)"] @@ -930,0 +925 @@ url = "https://github.com/kpu/kenlm/archive/master.zip" + @@ -1363,0 +1359,19 @@ test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"] +[[package]] +name = "pandas" +version = "1.4.0" +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\""}, +] +python-dateutil = ">=2.8.1" +pytz = ">=2020.1" + +[package.extras] +test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] + @@ -1973 +1987 @@ name = "setuptools-scm" -version = "6.3.2" +version = "6.4.2" @@ -1984 +1998,2 @@ tomli = ">=1.0.0" -toml = ["setuptools (>=42)", "tomli (>=1.0.0)"] +test = ["pytest (>=6.2)", "virtualenv (>20)"] +toml = ["setuptools (>=42)"] @@ -2520 +2535 @@ python-versions = "3.9.6" -content-hash = "0d1e0fb74d27dea1608635846095a56b0b935f4b9dc6bdb9e457b90f6a4de3f7" +content-hash = "f253f58f67fd990c5767d5f2969a5bab2e698c489e4bc8749635ee9541514e9e" @@ -2994 +3009,4 @@ cryptography = [ -datasets = [] +datasets = [ + {file = "datasets-1.18.0-py3-none-any.whl", hash = "sha256:80b3b3656f734c5a6fab891d0ea7b8e1aeac8fee3449a82904d61a3cf65b7f82"}, + {file = "datasets-1.18.0.tar.gz", hash = "sha256:808907d1180b741d83e5bd7ed7dedb32e5acf2728da401d68384468b141ea22f"}, +] @@ -3692,0 +3711,21 @@ pandas = [ + {file = "pandas-1.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:de62cf699122dcef175988f0714678e59c453dc234c5b47b7136bfd7641e3c8c"}, + {file = "pandas-1.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:46a18572f3e1cb75db59d9461940e9ba7ee38967fa48dd58f4139197f6e32280"}, + {file = "pandas-1.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:73f7da2ccc38cc988b74e5400b430b7905db5f2c413ff215506bea034eaf832d"}, + {file = "pandas-1.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5229c95db3a907451dacebc551492db6f7d01743e49bbc862f4a6010c227d187"}, + {file = "pandas-1.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fe454180ad31bbbe1e5d111b44443258730467f035e26b4e354655ab59405871"}, + {file = "pandas-1.4.0-cp310-cp310-win_amd64.whl", hash = "sha256:784cca3f69cfd7f6bd7c7fdb44f2bbab17e6de55725e9ff36d6f382510dfefb5"}, + {file = "pandas-1.4.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:de8f8999864399529e8514a2e6bfe00fd161f0a667903655552ed12e583ae3cb"}, + {file = "pandas-1.4.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:0f19504f2783526fb5b4de675ea69d68974e21c1624f4b92295d057a31d5ec5f"}, + {file = "pandas-1.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:f045bb5c6bfaba536089573bf97d6b8ccc7159d951fe63904c395a5e486fbe14"}, + {file = "pandas-1.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5280d057ddae06fe4a3cd6aa79040b8c205cd6dd21743004cf8635f39ed01712"}, + {file = "pandas-1.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1f3b74335390dda49f5d5089fab71958812bf56f42aa27663ee4c16d19f4f1c5"}, + {file = "pandas-1.4.0-cp38-cp38-win32.whl", hash = "sha256:51e5da3802aaee1aa4254108ffaf1129a15fb3810b7ce8da1ec217c655b418f5"}, + {file = "pandas-1.4.0-cp38-cp38-win_amd64.whl", hash = "sha256:f103a5cdcd66cb18882ccdc18a130c31c3cfe3529732e7f10a8ab3559164819c"}, + {file = "pandas-1.4.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:4a8d5a200f8685e7ea562b2f022c77ab7cb82c1ca5b240e6965faa6f84e5c1e9"}, + {file = "pandas-1.4.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:b5af258c7b090cca7b742cf2bd67ad1919aa9e4e681007366c9edad2d6a3d42b"}, + {file = "pandas-1.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:156aac90dd7b303bf0b91bae96c0503212777f86c731e41929c571125d26c8e9"}, + {file = "pandas-1.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2dad075089e17a72391de33021ad93720aff258c3c4b68c78e1cafce7e447045"}, + {file = "pandas-1.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d59c958d6b8f96fdf850c7821571782168d5acfe75ccf78cd8d1ac15fb921df"}, + {file = "pandas-1.4.0-cp39-cp39-win32.whl", hash = "sha256:55ec0e192eefa26d823fc25a1f213d6c304a3592915f368e360652994cdb8d9a"}, + {file = "pandas-1.4.0-cp39-cp39-win_amd64.whl", hash = "sha256:23c04dab11f3c6359cfa7afa83d3d054a8f8c283d773451184d98119ef54da97"}, + {file = "pandas-1.4.0.tar.gz", hash = "sha256:cdd76254c7f0a1583bd4e4781fb450d0ebf392e10d3f12e92c95575942e37df5"}, @@ -4552,2 +4591,2 @@ setuptools-scm = [ - {file = "setuptools_scm-6.3.2-py3-none-any.whl", hash = "sha256:4c64444b1d49c4063ae60bfe1680f611c8b13833d556fd1d6050c0023162a119"}, - {file = "setuptools_scm-6.3.2.tar.gz", hash = "sha256:a49aa8081eeb3514eb9728fa5040f2eaa962d6c6f4ec9c32f6c1fba88f88a0f2"}, + {file = "setuptools_scm-6.4.2-py3-none-any.whl", hash = "sha256:acea13255093849de7ccb11af9e1fb8bde7067783450cee9ef7a93139bddf6d4"}, + {file = "setuptools_scm-6.4.2.tar.gz", hash = "sha256:6833ac65c6ed9711a4d5d2266f8024cfa07c533a0e55f4c12f6eff280a5a9e30"}, diff --git a/pyproject.toml b/pyproject.toml index 2df286e5..29cee174 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.3" +version = "0.16.5" @@ -15,4 +15 @@ conllu = "^4.4.1" -datasets = { git = "https://github.com/huggingface/datasets.git", rev = "249b4a38390bf1543f5b6e2f3dc208b5689c1c13", extras = [ - "audio", - "vision", -] } +datasets = {extras = ["audio", "vision"], version = "^1.18.0"} diff --git a/src/datasets_preview_backend/config.py b/src/datasets_preview_backend/config.py index 8611303f..bbacf319 100644 --- a/src/datasets_preview_backend/config.py +++ b/src/datasets_preview_backend/config.py @@ -46 +46 @@ WEB_CONCURRENCY = get_int_value(d=os.environ, key="WEB_CONCURRENCY", default=DEF -# Ensure datasets library uses the expected revision +# Ensure datasets library uses the expected revision for canonical datasets diff --git a/src/datasets_preview_backend/constants.py b/src/datasets_preview_backend/constants.py index 5146abde..63782757 100644 --- a/src/datasets_preview_backend/constants.py +++ b/src/datasets_preview_backend/constants.py @@ -7 +7 @@ DEFAULT_DATASETS_ENABLE_PRIVATE: bool = False -DEFAULT_DATASETS_REVISION: str = "8418b1d4ebac7c59372c5a55556522584891ba9c" +DEFAULT_DATASETS_REVISION: str = "master" diff --git a/src/datasets_preview_backend/models/dataset.py b/src/datasets_preview_backend/models/dataset.py index 8494de64..f32073bc 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/src/datasets_preview_backend/models/dataset.py @@ -6 +6 @@ from datasets import get_dataset_config_names, get_dataset_split_names -from datasets_preview_backend.constants import DATASETS_BLOCKLIST, FORCE_REDOWNLOAD +from datasets_preview_backend.constants import FORCE_REDOWNLOAD @@ -20,2 +19,0 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No - if dataset_name in DATASETS_BLOCKLIST: - raise Status400Error("this dataset is not supported for now.") diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index ecff5ef4..24b5caa9 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -7 +7,2 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import StatusError +from datasets_preview_backend.constants import DATASETS_BLOCKLIST +from datasets_preview_backend.exceptions import Status400Error, StatusError @@ -22,0 +24,2 @@ async def rows_endpoint(request: Request) -> Response: + if dataset_name in DATASETS_BLOCKLIST: + raise Status400Error("this dataset is not supported for now.") diff --git a/src/datasets_preview_backend/routes/splits.py b/src/datasets_preview_backend/routes/splits.py index 3c99c421..267ccb43 100644 --- a/src/datasets_preview_backend/routes/splits.py +++ b/src/datasets_preview_backend/routes/splits.py @@ -7 +7,2 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import StatusError +from datasets_preview_backend.constants import DATASETS_BLOCKLIST +from datasets_preview_backend.exceptions import Status400Error, StatusError @@ -20 +21,3 @@ async def splits_endpoint(request: Request) -> Response: - raise StatusError("Parameter 'dataset' is required", 400) + raise Status400Error("Parameter 'dataset' is required") + if dataset_name in DATASETS_BLOCKLIST: + raise Status400Error("this dataset is not supported for now.") diff --git a/src/datasets_preview_backend/worker.py b/src/datasets_preview_backend/worker.py index 622dd968..4008c38f 100644 --- a/src/datasets_preview_backend/worker.py +++ b/src/datasets_preview_backend/worker.py @@ -8,0 +9 @@ from datasets_preview_backend.constants import ( + DEFAULT_DATASETS_REVISION, @@ -44,0 +46,4 @@ worker_queue = get_str_value(os.environ, "WORKER_QUEUE", DEFAULT_WORKER_QUEUE) +# Ensure datasets library uses the expected revision for canonical datasets +os.environ["HF_SCRIPTS_VERSION"] = get_str_value( + d=os.environ, key="DATASETS_REVISION", default=DEFAULT_DATASETS_REVISION +)
5ba89ac86a565327c80032af1769c3a713ba7b25
Sylvain Lesage
2022-01-25T10:00:42
fix: 🐛 reject blocked datasets in /rows endpoint too
diff --git a/pyproject.toml b/pyproject.toml index 5079f27a..4160a407 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.4" +version = "0.16.5" diff --git a/src/datasets_preview_backend/models/dataset.py b/src/datasets_preview_backend/models/dataset.py index 8494de64..f32073bc 100644 --- a/src/datasets_preview_backend/models/dataset.py +++ b/src/datasets_preview_backend/models/dataset.py @@ -6 +6 @@ from datasets import get_dataset_config_names, get_dataset_split_names -from datasets_preview_backend.constants import DATASETS_BLOCKLIST, FORCE_REDOWNLOAD +from datasets_preview_backend.constants import FORCE_REDOWNLOAD @@ -20,2 +19,0 @@ def get_dataset_split_full_names(dataset_name: str, hf_token: Optional[str] = No - if dataset_name in DATASETS_BLOCKLIST: - raise Status400Error("this dataset is not supported for now.") diff --git a/src/datasets_preview_backend/routes/rows.py b/src/datasets_preview_backend/routes/rows.py index ecff5ef4..24b5caa9 100644 --- a/src/datasets_preview_backend/routes/rows.py +++ b/src/datasets_preview_backend/routes/rows.py @@ -7 +7,2 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import StatusError +from datasets_preview_backend.constants import DATASETS_BLOCKLIST +from datasets_preview_backend.exceptions import Status400Error, StatusError @@ -22,0 +24,2 @@ async def rows_endpoint(request: Request) -> Response: + if dataset_name in DATASETS_BLOCKLIST: + raise Status400Error("this dataset is not supported for now.") diff --git a/src/datasets_preview_backend/routes/splits.py b/src/datasets_preview_backend/routes/splits.py index 3c99c421..267ccb43 100644 --- a/src/datasets_preview_backend/routes/splits.py +++ b/src/datasets_preview_backend/routes/splits.py @@ -7 +7,2 @@ from datasets_preview_backend.config import MAX_AGE_LONG_SECONDS -from datasets_preview_backend.exceptions import StatusError +from datasets_preview_backend.constants import DATASETS_BLOCKLIST +from datasets_preview_backend.exceptions import Status400Error, StatusError @@ -20 +21,3 @@ async def splits_endpoint(request: Request) -> Response: - raise StatusError("Parameter 'dataset' is required", 400) + raise Status400Error("Parameter 'dataset' is required") + if dataset_name in DATASETS_BLOCKLIST: + raise Status400Error("this dataset is not supported for now.")
92a6482eaa632dba7a67b582c0a480e0a4830408
Sylvain Lesage
2022-01-25T09:43:59
chore: 🤖 version bump
diff --git a/pyproject.toml b/pyproject.toml index 2df286e5..5079f27a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5 +5 @@ name = "datasets-preview-backend" -version = "0.16.3" +version = "0.16.4"