hash
stringlengths 40
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| authorName
stringclasses 42
values | authorEmail
stringclasses 41
values | date
timestamp[ms]date 2021-07-26 09:52:55
2025-07-18 10:19:56
| subject
stringlengths 11
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| diff
stringlengths 0
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|
|---|---|---|---|---|---|
1d17211189944957940e8c616a02658eb279d689
|
Andrea Francis Soria Jimenez
| 2023-08-04T16:23:43 |
Increase chart version because of new job (#1624)
|
diff --git a/chart/Chart.yaml b/chart/Chart.yaml
index fbb83507..c0705ae7 100644
--- a/chart/Chart.yaml
+++ b/chart/Chart.yaml
@@ -21 +21 @@ type: application
-version: 1.15.3
+version: 1.16.0
|
|
91bd4dfc9cbed882c007899d8e707f41fe7c73d8
|
Andrea Francis Soria Jimenez
| 2023-08-04T16:16:15 |
Enable every 10 minutes (#1623)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index dfb51464..e84fd7ed 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -191,0 +192,4 @@ backfill:
+deleteIndexes:
+ schedule: "*/10 * * * *"
+ # every ten minutes
+
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index 18e30b9d..e1cf0e12 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -150,0 +151,4 @@ backfill:
+deleteIndexes:
+ schedule: "*/10 * * * *"
+ # every ten minutes
+
|
|
f4cff008d50e32127648596bcf5efdb586c76789
|
Andrea Francis Soria Jimenez
| 2023-08-04T16:02:59 |
K8s job to periodically remove indexes (#1536)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 28827aaf..dfb51464 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -139,0 +140 @@ duckDBIndex:
+ expiredTimeIntervalSeconds: 259_200 # 3 days
diff --git a/chart/templates/_common/_helpers.tpl b/chart/templates/_common/_helpers.tpl
index dd6ad00b..f710be22 100644
--- a/chart/templates/_common/_helpers.tpl
+++ b/chart/templates/_common/_helpers.tpl
@@ -102,0 +103,5 @@ app.kubernetes.io/component: "{{ include "name" . }}-backfill"
+{{- define "labels.deleteIndexes" -}}
+{{ include "hf.labels.commons" . }}
+app.kubernetes.io/component: "{{ include "name" . }}-deleteIndexes"
+{{- end -}}
+
diff --git a/chart/templates/cron-jobs/delete-indexes/_container.tpl b/chart/templates/cron-jobs/delete-indexes/_container.tpl
new file mode 100644
index 00000000..de503196
--- /dev/null
+++ b/chart/templates/cron-jobs/delete-indexes/_container.tpl
@@ -0,0 +1,24 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "containerDeleteIndexes" -}}
+- name: "{{ include "name" . }}-delete-indexes"
+ image: {{ include "jobs.cacheMaintenance.image" . }}
+ imagePullPolicy: {{ .Values.images.pullPolicy }}
+ securityContext:
+ allowPrivilegeEscalation: false
+ resources: {{ toYaml .Values.deleteIndexes.resources | nindent 4 }}
+ env:
+ {{ include "envCache" . | nindent 2 }}
+ {{ include "envQueue" . | nindent 2 }}
+ {{ include "envCommon" . | nindent 2 }}
+ {{ include "envMetrics" . | nindent 2 }}
+ - name: CACHE_MAINTENANCE_ACTION
+ value: {{ .Values.deleteIndexes.action | quote }}
+ - name: LOG_LEVEL
+ value: {{ .Values.deleteIndexes.log.level | quote }}
+ - name: DUCKDB_INDEX_CACHE_DIRECTORY
+ value: {{ .Values.duckDBIndex.cacheDirectory}}
+ - name: DUCKDB_INDEX_EXPIRED_TIME_INTERVAL_SECONDS
+ value: {{ .Values.duckDBIndex.expiredTimeIntervalSeconds}}
+{{- end -}}
diff --git a/chart/templates/cron-jobs/delete-indexes/job.yaml b/chart/templates/cron-jobs/delete-indexes/job.yaml
new file mode 100644
index 00000000..dc5dd496
--- /dev/null
+++ b/chart/templates/cron-jobs/delete-indexes/job.yaml
@@ -0,0 +1,24 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- if and .Values.images.jobs.cacheMaintenance .Values.deleteIndexes.enabled }}
+apiVersion: batch/v1
+kind: CronJob
+metadata:
+ labels: {{ include "labels.deleteIndexes" . | nindent 4 }}
+ name: "{{ include "name" . }}-job-delete-indexes"
+ namespace: {{ .Release.Namespace }}
+spec:
+ schedule: {{ .Values.deleteIndexes.schedule | quote }}
+ jobTemplate:
+ spec:
+ ttlSecondsAfterFinished: 180
+ template:
+ spec:
+ restartPolicy: OnFailure
+ {{- include "image.imagePullSecrets" . | nindent 6 }}
+ nodeSelector: {{ toYaml .Values.deleteIndexes.nodeSelector | nindent 12 }}
+ tolerations: {{ toYaml .Values.deleteIndexes.tolerations | nindent 12 }}
+ containers: {{ include "containerDeleteIndexes" . | nindent 12 }}
+ securityContext: {{ include "securityContext" . | nindent 12 }}
+{{- end}}
diff --git a/chart/templates/services/search/_container.tpl b/chart/templates/services/search/_container.tpl
index 0e33c156..b9b3776d 100644
--- a/chart/templates/services/search/_container.tpl
+++ b/chart/templates/services/search/_container.tpl
@@ -50 +50 @@
- - name: DUCKDB_INDEX_STORAGE_DIRECTORY
+ - name: DUCKDB_INDEX_CACHE_DIRECTORY
diff --git a/chart/values.yaml b/chart/values.yaml
index ab17fe84..fb164c9e 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -263,0 +264,2 @@ duckDBIndex:
+ # the time interval at which a downloaded index will be considered as expired and will be deleted
+ expiredTimeIntervalSeconds: 600
@@ -323,0 +326,17 @@ backfill:
+deleteIndexes:
+ enabled: true
+ log:
+ level: "info"
+ action: "delete-indexes"
+ error_codes_to_retry: ""
+ schedule: "0 0 * * *"
+ # at 00:00
+ nodeSelector: {}
+ resources:
+ requests:
+ cpu: 0
+ limits:
+ cpu: 0
+ tolerations: []
+
+
diff --git a/jobs/cache_maintenance/src/cache_maintenance/config.py b/jobs/cache_maintenance/src/cache_maintenance/config.py
index 79a75ec5..010aa074 100644
--- a/jobs/cache_maintenance/src/cache_maintenance/config.py
+++ b/jobs/cache_maintenance/src/cache_maintenance/config.py
@@ -32,0 +33,27 @@ class BackfillConfig:
+DUCKDB_INDEX_CACHE_DIRECTORY = None
+DUCKDB_INDEX_SUBDIRECTORY = "downloads"
+DUCKDB_INDEX_EXPIRED_TIME_INTERVAL_SECONDS = 10 * 60 # 10 minutes
+DUCKDB_INDEX_FILE_EXTENSION = ".duckdb"
+
+
+@dataclass(frozen=True)
+class DuckDbConfig:
+ cache_directory: Optional[str] = DUCKDB_INDEX_CACHE_DIRECTORY
+ subdirectory: str = DUCKDB_INDEX_SUBDIRECTORY
+ expired_time_interval_seconds: int = DUCKDB_INDEX_EXPIRED_TIME_INTERVAL_SECONDS
+ file_extension: str = DUCKDB_INDEX_FILE_EXTENSION
+
+ @classmethod
+ def from_env(cls) -> "DuckDbConfig":
+ env = Env(expand_vars=True)
+ with env.prefixed("DUCKDB_INDEX_"):
+ return cls(
+ cache_directory=env.str(name="CACHE_DIRECTORY", default=DUCKDB_INDEX_CACHE_DIRECTORY),
+ subdirectory=env.str(name="SUBDIRECTORY", default=DUCKDB_INDEX_SUBDIRECTORY),
+ expired_time_interval_seconds=env.int(
+ name="EXPIRED_TIME_INTERVAL_SECONDS", default=DUCKDB_INDEX_EXPIRED_TIME_INTERVAL_SECONDS
+ ),
+ file_extension=env.str(name="FILE_EXTENSION", default=DUCKDB_INDEX_FILE_EXTENSION),
+ )
+
+
@@ -44,0 +72 @@ class JobConfig:
+ duckdb: DuckDbConfig = field(default_factory=DuckDbConfig)
@@ -58,0 +87 @@ class JobConfig:
+ duckdb=DuckDbConfig.from_env(),
diff --git a/jobs/cache_maintenance/src/cache_maintenance/delete_indexes.py b/jobs/cache_maintenance/src/cache_maintenance/delete_indexes.py
new file mode 100644
index 00000000..7761a341
--- /dev/null
+++ b/jobs/cache_maintenance/src/cache_maintenance/delete_indexes.py
@@ -0,0 +1,24 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+import glob
+import logging
+import os
+from datetime import datetime, timedelta
+
+from libcommon.storage import StrPath
+
+
+def delete_indexes(
+ duckdb_index_cache_directory: StrPath, subdirectory: str, file_extension: str, expired_time_interval_seconds: int
+) -> None:
+ logging.info("delete indexes")
+ indexes_folder = f"{duckdb_index_cache_directory}/{subdirectory}/**/*{file_extension}"
+ logging.info(f"looking for all files with pattern {indexes_folder}")
+ now = datetime.now().replace(tzinfo=None)
+ for path in glob.glob(indexes_folder, recursive=True):
+ last_access_time_value = os.path.getatime(path)
+ last_access_datetime = datetime.fromtimestamp(last_access_time_value).replace(tzinfo=None)
+ if last_access_datetime + timedelta(seconds=expired_time_interval_seconds) <= now:
+ logging.info(f"deleting file {path=} {last_access_datetime=}")
+ os.remove(path)
diff --git a/jobs/cache_maintenance/src/cache_maintenance/main.py b/jobs/cache_maintenance/src/cache_maintenance/main.py
index a6926853..29673e9c 100644
--- a/jobs/cache_maintenance/src/cache_maintenance/main.py
+++ b/jobs/cache_maintenance/src/cache_maintenance/main.py
@@ -14,0 +15 @@ from libcommon.resources import (
+from libcommon.storage import init_duckdb_index_cache_dir
@@ -17,0 +19 @@ from cache_maintenance.config import JobConfig
+from cache_maintenance.delete_indexes import delete_indexes
@@ -24 +26 @@ def run_job() -> None:
- supported_actions = ["backfill", "collect-metrics", "skip"]
+ supported_actions = ["backfill", "collect-metrics", "delete-indexes", "skip"]
@@ -34 +36 @@ def run_job() -> None:
-
+ duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=job_config.duckdb.cache_directory)
@@ -58 +59,0 @@ def run_job() -> None:
-
@@ -68,0 +70,7 @@ def run_job() -> None:
+ elif action == "delete-indexes":
+ delete_indexes(
+ duckdb_index_cache_directory=duckdb_index_cache_directory,
+ subdirectory=job_config.duckdb.subdirectory,
+ expired_time_interval_seconds=job_config.duckdb.expired_time_interval_seconds,
+ file_extension=job_config.duckdb.file_extension,
+ )
diff --git a/jobs/cache_maintenance/tests/test_delete_indexes.py b/jobs/cache_maintenance/tests/test_delete_indexes.py
new file mode 100644
index 00000000..dfa0c49a
--- /dev/null
+++ b/jobs/cache_maintenance/tests/test_delete_indexes.py
@@ -0,0 +1,34 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+import os
+import time
+from pathlib import Path
+
+from cache_maintenance.delete_indexes import delete_indexes
+
+
+def test_delete_indexes() -> None:
+ duckdb_index_cache_directory = "/tmp"
+ subdirectory = "download"
+ file_extension = ".duckdb"
+ expired_time_interval_seconds = 2
+ os.mkdir(f"{duckdb_index_cache_directory}/{subdirectory}")
+
+ index_file = Path(f"{duckdb_index_cache_directory}/{subdirectory}/index{file_extension}")
+ index_file.touch()
+
+ # ensure file exists
+ assert index_file.is_file()
+
+ # try to delete it inmediatly after creation, it should remain
+ delete_indexes(duckdb_index_cache_directory, subdirectory, file_extension, expired_time_interval_seconds)
+ assert index_file.is_file()
+
+ # try to delete it after more that time interval, it should be deleted
+ index_file.touch()
+ time.sleep(expired_time_interval_seconds + 2)
+ delete_indexes(duckdb_index_cache_directory, subdirectory, file_extension, expired_time_interval_seconds)
+ assert not index_file.is_file()
+
+ os.rmdir(f"{duckdb_index_cache_directory}/{subdirectory}")
diff --git a/services/search/README.md b/services/search/README.md
index 6d692bb8..3103e1e8 100644
--- a/services/search/README.md
+++ b/services/search/README.md
@@ -10 +10 @@ The service can be configured using environment variables. They are grouped by s
-- `DUCKDB_INDEX_STORAGE_DIRECTORY`: directory where the temporal duckdb index files are downloaded. Defaults to empty.
+- `DUCKDB_INDEX_CACHE_DIRECTORY`: directory where the temporal duckdb index files are downloaded. Defaults to empty.
diff --git a/services/search/src/search/app.py b/services/search/src/search/app.py
index e77fc190..ba71f39a 100644
--- a/services/search/src/search/app.py
+++ b/services/search/src/search/app.py
@@ -40 +40 @@ def create_app_with_config(app_config: AppConfig) -> Starlette:
- duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=app_config.duckdb_index.storage_directory)
+ duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=app_config.duckdb_index.cache_directory)
@@ -42 +42 @@ def create_app_with_config(app_config: AppConfig) -> Starlette:
- raise RuntimeError("The duckdb_index storage directory could not be accessed. Exiting.")
+ raise RuntimeError("The duckdb_index cache directory could not be accessed. Exiting.")
diff --git a/services/search/src/search/config.py b/services/search/src/search/config.py
index 68201ff7..8c714d49 100644
--- a/services/search/src/search/config.py
+++ b/services/search/src/search/config.py
@@ -18 +18 @@ from libcommon.config import (
-DUCKDB_INDEX_STORAGE_DIRECTORY = None
+DUCKDB_INDEX_CACHE_DIRECTORY = None
@@ -24 +24 @@ class DuckDbIndexConfig:
- storage_directory: Optional[str] = DUCKDB_INDEX_STORAGE_DIRECTORY
+ cache_directory: Optional[str] = DUCKDB_INDEX_CACHE_DIRECTORY
@@ -32 +32 @@ class DuckDbIndexConfig:
- storage_directory=env.str(name="STORAGE_DIRECTORY", default=DUCKDB_INDEX_STORAGE_DIRECTORY),
+ cache_directory=env.str(name="CACHE_DIRECTORY", default=DUCKDB_INDEX_CACHE_DIRECTORY),
diff --git a/services/search/tests/conftest.py b/services/search/tests/conftest.py
index 11ff97fb..f4db7e0f 100644
--- a/services/search/tests/conftest.py
+++ b/services/search/tests/conftest.py
@@ -97 +97 @@ def duckdb_index_cache_directory(app_config: AppConfig) -> StrPath:
- return init_duckdb_index_cache_dir(app_config.duckdb_index.storage_directory)
+ return init_duckdb_index_cache_dir(app_config.duckdb_index.cache_directory)
diff --git a/tools/docker-compose-datasets-server.yml b/tools/docker-compose-datasets-server.yml
index e0fffcf6..ad056681 100644
--- a/tools/docker-compose-datasets-server.yml
+++ b/tools/docker-compose-datasets-server.yml
@@ -127 +127 @@ services:
- - duckdb-index:${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ - duckdb-index:${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}
@@ -135 +135 @@ services:
- DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ DUCKDB_INDEX_CACHE_DIRECTORY: ${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index 222d4756..f2d798cb 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -130 +130 @@ services:
- - duckdb-index:${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ - duckdb-index:${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}
@@ -138 +138 @@ services:
- DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ DUCKDB_INDEX_CACHE_DIRECTORY: ${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}
|
|
7bc51e3c18d3817f1a6c3f9e5604faa4f0d0f372
|
Albert Villanova del Moral
| 2023-08-04T11:40:53 |
Fix e2e test_16_statistics (#1622)
|
diff --git a/e2e/tests/test_16_statistics.py b/e2e/tests/test_16_statistics.py
index 2d69b09d..f6ad8f73 100644
--- a/e2e/tests/test_16_statistics.py
+++ b/e2e/tests/test_16_statistics.py
@@ -16 +16,2 @@ def test_statistics_endpoint(
- dataset, config, split = get_default_config_split(hf_public_dataset_repo_csv_data)
+ dataset = hf_public_dataset_repo_csv_data
+ config, split = get_default_config_split()
|
|
067bc934df3eaf043c5d1d130212001be2367811
|
Albert Villanova del Moral
| 2023-08-04T10:55:43 |
Fix authentication with DownloadConfig (#1620)
|
diff --git a/services/worker/src/worker/job_runners/config/parquet_and_info.py b/services/worker/src/worker/job_runners/config/parquet_and_info.py
index 57ce8f2c..206e04cf 100644
--- a/services/worker/src/worker/job_runners/config/parquet_and_info.py
+++ b/services/worker/src/worker/job_runners/config/parquet_and_info.py
@@ -1257 +1257 @@ def compute_config_parquet_and_info_response(
- download_config = DownloadConfig(delete_extracted=True)
+ download_config = DownloadConfig(delete_extracted=True, token=hf_token)
diff --git a/services/worker/src/worker/job_runners/config/split_names_from_streaming.py b/services/worker/src/worker/job_runners/config/split_names_from_streaming.py
index 8c300c26..a327922d 100644
--- a/services/worker/src/worker/job_runners/config/split_names_from_streaming.py
+++ b/services/worker/src/worker/job_runners/config/split_names_from_streaming.py
@@ -5 +5 @@ import logging
-from typing import List, Optional, Union
+from typing import List, Optional
@@ -7 +7 @@ from typing import List, Optional, Union
-from datasets import get_dataset_split_names
+from datasets import DownloadConfig, get_dataset_split_names
@@ -61,2 +60,0 @@ def compute_split_names_from_streaming_response(
- use_auth_token: Union[bool, str, None] = hf_token if hf_token is not None else False
-
@@ -66 +64,3 @@ def compute_split_names_from_streaming_response(
- for split in get_dataset_split_names(path=dataset, config_name=config, use_auth_token=use_auth_token)
+ for split in get_dataset_split_names(
+ path=dataset, config_name=config, download_config=DownloadConfig(token=hf_token)
+ )
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
index 7954cd3e..546dc8f9 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
@@ -9,0 +10 @@ from datasets import (
+ DownloadConfig,
@@ -151 +152 @@ def compute_first_rows_response(
- use_auth_token=use_auth_token,
+ download_config=DownloadConfig(token=hf_token),
@@ -165,0 +167 @@ def compute_first_rows_response(
+ download_config=DownloadConfig(token=hf_token),
diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py
index 0d5087e4..5fbd3443 100644
--- a/services/worker/src/worker/utils.py
+++ b/services/worker/src/worker/utils.py
@@ -224 +224 @@ def get_rows(
- download_config = DownloadConfig(delete_extracted=True)
+ download_config = DownloadConfig(delete_extracted=True, token=use_auth_token)
|
|
0bfb1cb2ed01e4e17b07eabd70624b0ed0b1fbb0
|
Albert Villanova del Moral
| 2023-08-04T09:36:40 |
Fix HfFileSystem (#1619)
|
diff --git a/services/worker/src/worker/job_runners/config/parquet_and_info.py b/services/worker/src/worker/job_runners/config/parquet_and_info.py
index 8ca98eef..57ce8f2c 100644
--- a/services/worker/src/worker/job_runners/config/parquet_and_info.py
+++ b/services/worker/src/worker/job_runners/config/parquet_and_info.py
@@ -38 +37,0 @@ from datasets.data_files import EmptyDatasetError as _EmptyDatasetError
-from datasets.data_files import Url
@@ -49 +47,0 @@ from datasets.utils.py_utils import asdict, map_nested
-from fsspec.implementations.http import HTTPFileSystem
@@ -56,0 +55 @@ from huggingface_hub.hf_api import CommitInfo, DatasetInfo, HfApi, RepoFile
+from huggingface_hub.hf_file_system import HfFileSystem
@@ -220 +219 @@ def raise_if_blocked(
-def is_parquet_builder_with_hub_files(builder: DatasetBuilder, hf_endpoint: str) -> bool:
+def is_parquet_builder_with_hub_files(builder: DatasetBuilder) -> bool:
@@ -225,3 +224 @@ def is_parquet_builder_with_hub_files(builder: DatasetBuilder, hf_endpoint: str)
- if not isinstance(data_file, Url):
- return False
- if not data_file.startswith(hf_endpoint + "/datasets/" + str(builder.repo_id) + "/"):
+ if not data_file.startswith(f"hf://datasets/{builder.repo_id}@"):
@@ -614,3 +611 @@ def copy_parquet_files(builder: DatasetBuilder) -> List[CommitOperationCopy]:
- src_revision, src_path_in_repo = data_file.split("/datasets/" + builder.repo_id + "/resolve/", 1)[1].split(
- "/", 1
- )
+ src_revision, src_path_in_repo = data_file.split("@")[1].split("/", 1)
@@ -648,3 +643,3 @@ class TooBigRowGroupsError(ParquetValidationError):
-def get_parquet_file_and_size(url: str, fs: HTTPFileSystem, hf_token: Optional[str]) -> Tuple[pq.ParquetFile, int]:
- headers = get_authentication_headers_for_url(url, use_auth_token=hf_token)
- f = fs.open(url, headers=headers)
+def get_parquet_file_and_size(url: str, hf_endpoint: str, hf_token: Optional[str]) -> Tuple[pq.ParquetFile, int]:
+ fs = HfFileSystem(endpoint=hf_endpoint, token=hf_token)
+ f = fs.open(url)
@@ -655 +650 @@ def retry_and_validate_get_parquet_file_and_size(
- url: str, fs: HTTPFileSystem, hf_token: Optional[str], validate: Optional[Callable[[pq.ParquetFile], None]]
+ url: str, hf_endpoint: str, hf_token: Optional[str], validate: Optional[Callable[[pq.ParquetFile], None]]
@@ -659 +654 @@ def retry_and_validate_get_parquet_file_and_size(
- pf, size = retry(on=[pa.ArrowInvalid], sleeps=sleeps)(get_parquet_file_and_size)(url, fs, hf_token)
+ pf, size = retry(on=[pa.ArrowInvalid], sleeps=sleeps)(get_parquet_file_and_size)(url, hf_endpoint, hf_token)
@@ -705 +700,4 @@ def fill_builder_info(
- builder: DatasetBuilder, hf_token: Optional[str], validate: Optional[Callable[[pq.ParquetFile], None]]
+ builder: DatasetBuilder,
+ hf_endpoint: str,
+ hf_token: Optional[str],
+ validate: Optional[Callable[[pq.ParquetFile], None]],
@@ -711 +709,4 @@ def fill_builder_info(
- fs = HTTPFileSystem()
+ builder.info.builder_name = builder.name
+ builder.info.dataset_name = builder.dataset_name
+ builder.info.config_name = builder.config.name
+ builder.info.version = builder.config.version
@@ -720 +721,4 @@ def fill_builder_info(
- retry_and_validate_get_parquet_file_and_size, fs=fs, hf_token=hf_token, validate=validate
+ retry_and_validate_get_parquet_file_and_size,
+ hf_endpoint=hf_endpoint,
+ hf_token=hf_token,
+ validate=validate,
@@ -1268 +1272 @@ def compute_config_parquet_and_info_response(
- if is_parquet_builder_with_hub_files(builder, hf_endpoint=hf_endpoint):
+ if is_parquet_builder_with_hub_files(builder):
@@ -1272 +1276 @@ def compute_config_parquet_and_info_response(
- fill_builder_info(builder, hf_token=hf_token, validate=validate)
+ fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
diff --git a/services/worker/tests/job_runners/config/test_parquet_and_info.py b/services/worker/tests/job_runners/config/test_parquet_and_info.py
index 247f754e..5ed90f98 100644
--- a/services/worker/tests/job_runners/config/test_parquet_and_info.py
+++ b/services/worker/tests/job_runners/config/test_parquet_and_info.py
@@ -949,0 +950 @@ def test_fill_builder_info(
+ app_config: AppConfig,
@@ -960 +961 @@ def test_fill_builder_info(
- fill_builder_info(builder, hf_token=None, validate=validate)
+ fill_builder_info(builder, hf_endpoint=app_config.common.hf_endpoint, hf_token=None, validate=validate)
@@ -965 +966 @@ def test_fill_builder_info(
- fill_builder_info(builder, hf_token=None, validate=validate)
+ fill_builder_info(builder, hf_endpoint=app_config.common.hf_endpoint, hf_token=None, validate=validate)
|
|
5ddc915f75fa29cd7ac557be3e827111f8831df2
|
Albert Villanova del Moral
| 2023-08-04T06:55:53 |
Fix cached filenames (#1617)
|
diff --git a/services/worker/src/worker/job_runners/config/parquet_and_info.py b/services/worker/src/worker/job_runners/config/parquet_and_info.py
index 68a6066a..8ca98eef 100644
--- a/services/worker/src/worker/job_runners/config/parquet_and_info.py
+++ b/services/worker/src/worker/job_runners/config/parquet_and_info.py
@@ -619,11 +619,2 @@ def copy_parquet_files(builder: DatasetBuilder) -> List[CommitOperationCopy]:
-
- # for forward compatibility with https://github.com/huggingface/datasets/pull/5331
- parquet_name = str(builder.dataset_name) if hasattr(builder, "dataset_name") else builder.name
-
- if num_shards > 1:
- path_in_repo = (
- f"{builder.config.name}/{parquet_name}-{split}-{shard_idx:05d}-of-{num_shards:05d}.parquet"
- )
- else:
- path_in_repo = f"{builder.config.name}/{parquet_name}-{split}.parquet"
-
+ filename_suffix = f"-{shard_idx:05d}-of-{num_shards:05d}" if num_shards > 1 else ""
+ path_in_repo = f"{builder.config.name}/{builder.dataset_name}-{split}{filename_suffix}.parquet"
@@ -853,2 +844,2 @@ def list_generated_parquet_files(builder: DatasetBuilder, partial: bool = False)
- # - {builder.name}-{split}.parquet if there is only one shard
- # - {builder.name}-{split}-{shard_idx:05d}-of-{num_shards:05d}.parquet otherwise
+ # - {builder.dataset_name}-{split}.parquet if there is only one shard
+ # - {builder.dataset_name}-{split}-{shard_idx:05d}-of-{num_shards:05d}.parquet otherwise
@@ -856 +847,2 @@ def list_generated_parquet_files(builder: DatasetBuilder, partial: bool = False)
- fname_prefix = f"{builder.name}-{split}"
+ filename_suffix = "-{shard_idx:05d}-of-" + f"{num_shards:05d}" if num_shards > 1 else ""
+ filename = f"{builder.dataset_name}-{split}{filename_suffix}.parquet"
@@ -862,2 +854 @@ def list_generated_parquet_files(builder: DatasetBuilder, partial: bool = False)
- fname_prefix
- + (f"-{shard_idx:05d}-of-{num_shards:05d}.parquet" if num_shards > 1 else ".parquet"),
+ filename.format(shard_idx=shard_idx),
diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py
index afeed65e..b7d39441 100644
--- a/services/worker/tests/fixtures/hub.py
+++ b/services/worker/tests/fixtures/hub.py
@@ -359,0 +360 @@ def create_dataset_info_response_for_csv(dataset: str, config: str) -> Any:
+ dataset_name = dataset.split("/")[-1]
@@ -367,0 +369 @@ def create_dataset_info_response_for_csv(dataset: str, config: str) -> Any:
+ "dataset_name": dataset_name,
@@ -369 +371 @@ def create_dataset_info_response_for_csv(dataset: str, config: str) -> Any:
- "splits": {"train": {"name": "train", "num_bytes": 96, "num_examples": 4, "dataset_name": "csv"}},
+ "splits": {"train": {"name": "train", "num_bytes": 96, "num_examples": 4, "dataset_name": dataset_name}},
@@ -382 +384 @@ def create_dataset_info_response_for_csv(dataset: str, config: str) -> Any:
-def create_dataset_info_response_for_partially_generated_big_csv(config: str) -> Any:
+def create_dataset_info_response_for_partially_generated_big_csv(dataset: str, config: str) -> Any:
@@ -385,0 +388 @@ def create_dataset_info_response_for_partially_generated_big_csv(config: str) ->
+ dataset_name = dataset.split("/")[-1]
@@ -393,0 +397 @@ def create_dataset_info_response_for_partially_generated_big_csv(config: str) ->
+ "dataset_name": dataset_name,
@@ -400 +404,2 @@ def create_dataset_info_response_for_partially_generated_big_csv(config: str) ->
-def create_dataset_info_response_for_big_parquet() -> Any:
+def create_dataset_info_response_for_big_parquet(dataset: str, config: str) -> Any:
+ dataset_name = dataset.split("/")[-1]
@@ -406,0 +412,4 @@ def create_dataset_info_response_for_big_parquet() -> Any:
+ "builder_name": "parquet",
+ "config_name": config,
+ "dataset_name": dataset_name,
+ "version": {"version_str": "0.0.0", "major": 0, "minor": 0, "patch": 0},
@@ -430 +439,2 @@ def create_dataset_info_response_for_big_parquet_no_info() -> Any:
-def create_dataset_info_response_for_audio() -> Any:
+def create_dataset_info_response_for_audio(dataset: str, config: str) -> Any:
+ dataset_name = dataset.split("/")[-1]
@@ -436,0 +447,4 @@ def create_dataset_info_response_for_audio() -> Any:
+ "builder_name": "parquet",
+ "config_name": config,
+ "dataset_name": dataset_name,
+ "version": {"version_str": "0.0.0", "major": 0, "minor": 0, "patch": 0},
@@ -449 +463 @@ def create_parquet_and_info_response(
-
+ dataset_name = dataset.split("/")[-1]
@@ -453 +467 @@ def create_parquet_and_info_response(
- filename = "csv-train.parquet" if "csv" in data_type else "parquet-train.parquet"
+ filename = f"{dataset_name}-train.parquet"
@@ -466 +480 @@ def create_parquet_and_info_response(
- else create_dataset_info_response_for_partially_generated_big_csv(config)
+ else create_dataset_info_response_for_partially_generated_big_csv(dataset, config)
@@ -468 +482 @@ def create_parquet_and_info_response(
- else create_dataset_info_response_for_audio()
+ else create_dataset_info_response_for_audio(dataset, config)
@@ -470 +484 @@ def create_parquet_and_info_response(
- else create_dataset_info_response_for_big_parquet()
+ else create_dataset_info_response_for_big_parquet(dataset, config)
|
|
4ea6607eb5becd577923444e0299059095020e97
|
Albert Villanova del Moral
| 2023-08-03T19:46:18 |
Fix default config name (#1616)
|
diff --git a/e2e/tests/test_11_api.py b/e2e/tests/test_11_api.py
index b3a43305..d380be47 100644
--- a/e2e/tests/test_11_api.py
+++ b/e2e/tests/test_11_api.py
@@ -35 +35 @@ def test_auth_e2e(
- dataset, config, split = get_default_config_split(hf_dataset_repos_csv_data[type])
+ dataset = hf_dataset_repos_csv_data[type]
@@ -74 +74,2 @@ def test_endpoint(
- dataset, config, split = get_default_config_split(hf_public_dataset_repo_csv_data)
+ dataset = hf_public_dataset_repo_csv_data
+ config, split = get_default_config_split()
@@ -103 +104,2 @@ def test_rows_endpoint(
- dataset, config, split = get_default_config_split(hf_public_dataset_repo_csv_data)
+ dataset = hf_public_dataset_repo_csv_data
+ config, split = get_default_config_split()
diff --git a/e2e/tests/test_52_search.py b/e2e/tests/test_52_search.py
index 98840903..cf36652c 100644
--- a/e2e/tests/test_52_search.py
+++ b/e2e/tests/test_52_search.py
@@ -16 +16,2 @@ def test_search_endpoint(
- dataset, config, split = get_default_config_split(hf_public_dataset_repo_csv_data)
+ dataset = hf_public_dataset_repo_csv_data
+ config, split = get_default_config_split()
diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py
index c475ff60..b426b188 100644
--- a/e2e/tests/utils.py
+++ b/e2e/tests/utils.py
@@ -100,2 +100,2 @@ def get_openapi_body_example(path: str, status: int, example_name: str) -> Any:
-def get_default_config_split(dataset: str) -> Tuple[str, str, str]:
- config = dataset.replace("/", "--")
+def get_default_config_split() -> Tuple[str, str]:
+ config = "default"
@@ -103 +103 @@ def get_default_config_split(dataset: str) -> Tuple[str, str, str]:
- return dataset, config, split
+ return config, split
diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py
index 30c03b2a..afeed65e 100644
--- a/services/worker/tests/fixtures/hub.py
+++ b/services/worker/tests/fixtures/hub.py
@@ -37,2 +37,2 @@ hf_api = HfApi(endpoint=CI_HUB_ENDPOINT)
-def get_default_config_split(dataset: str) -> Tuple[str, str, str]:
- config = dataset.replace("/", "--")
+def get_default_config_split() -> Tuple[str, str]:
+ config = "default"
@@ -40 +40 @@ def get_default_config_split(dataset: str) -> Tuple[str, str, str]:
- return dataset, config, split
+ return config, split
@@ -310 +310 @@ def create_config_names_response(dataset: str) -> Any:
- dataset, config, _ = get_default_config_split(dataset)
+ config, _ = get_default_config_split()
@@ -322 +322 @@ def create_splits_response(dataset: str) -> Any:
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -335 +335 @@ def create_first_rows_response(dataset: str, cols: Mapping[str, Any], rows: List
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -448 +448 @@ def create_parquet_and_info_response(
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -533 +533 @@ def get_AUDIO_rows(dataset: str) -> Any:
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -556 +556 @@ def get_IMAGE_rows(dataset: str) -> Any:
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -574 +574 @@ def get_IMAGES_LIST_rows(dataset: str) -> Any:
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
diff --git a/services/worker/tests/job_runners/config/test_split_names_from_streaming.py b/services/worker/tests/job_runners/config/test_split_names_from_streaming.py
index ae9ca703..6db7b18c 100644
--- a/services/worker/tests/job_runners/config/test_split_names_from_streaming.py
+++ b/services/worker/tests/job_runners/config/test_split_names_from_streaming.py
@@ -69 +69,2 @@ def test_compute(app_config: AppConfig, get_job_runner: GetJobRunner, hub_public
- dataset, config, _ = get_default_config_split(hub_public_csv)
+ dataset = hub_public_csv
+ config, _ = get_default_config_split()
@@ -113 +114,2 @@ def test_compute_split_names_from_streaming_response(
- dataset, config, _ = get_default_config_split(hub_datasets[name]["name"])
+ dataset = hub_datasets[name]["name"]
+ config, _ = get_default_config_split()
diff --git a/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py b/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py
index 3ec75a0d..1cb702a2 100644
--- a/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py
+++ b/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py
@@ -77 +77,2 @@ def test_compute(app_config: AppConfig, get_job_runner: GetJobRunner, hub_public
- dataset, config, split = get_default_config_split(hub_public_csv)
+ dataset = hub_public_csv
+ config, split = get_default_config_split()
@@ -154 +155 @@ def test_number_rows(
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -219 +220 @@ def test_truncation(
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
diff --git a/services/worker/tests/job_runners/split/test_image_url_columns.py b/services/worker/tests/job_runners/split/test_image_url_columns.py
index d49d4bd7..e1d82708 100644
--- a/services/worker/tests/job_runners/split/test_image_url_columns.py
+++ b/services/worker/tests/job_runners/split/test_image_url_columns.py
@@ -188 +188 @@ def test_compute(
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -232 +232 @@ def test_compute_failed(
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
diff --git a/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py b/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
index dbb8b8d5..49463062 100644
--- a/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
+++ b/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
@@ -187 +187,2 @@ def test_compute(
- dataset, config, split = get_default_config_split(hub_datasets[name]["name"])
+ dataset = hub_datasets[name]["name"]
+ config, split = get_default_config_split()
@@ -251 +252 @@ def test_compute_failed(
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
@@ -280 +281,2 @@ def test_compute_error_from_spawning(
- dataset, config, split = get_default_config_split(hub_public_spawning_opt_in_out)
+ dataset = hub_public_spawning_opt_in_out
+ config, split = get_default_config_split()
diff --git a/services/worker/tests/job_runners/test__job_runner_with_cache.py b/services/worker/tests/job_runners/test__job_runner_with_cache.py
index 2ff25f6c..b631a130 100644
--- a/services/worker/tests/job_runners/test__job_runner_with_cache.py
+++ b/services/worker/tests/job_runners/test__job_runner_with_cache.py
@@ -111 +111,2 @@ def test_pre_compute_post_compute(app_config: AppConfig, get_job_runner: GetJobR
- dataset, config, split = get_default_config_split("user/dataset")
+ dataset = "user/dataset"
+ config, split = get_default_config_split()
diff --git a/services/worker/tests/job_runners/test__job_runner_with_datasets_cache.py b/services/worker/tests/job_runners/test__job_runner_with_datasets_cache.py
index afb25020..1d8e59fb 100644
--- a/services/worker/tests/job_runners/test__job_runner_with_datasets_cache.py
+++ b/services/worker/tests/job_runners/test__job_runner_with_datasets_cache.py
@@ -84 +84,2 @@ def test_set_datasets_cache(app_config: AppConfig, get_job_runner: GetJobRunner)
- dataset, config, split = get_default_config_split("dataset")
+ dataset = "dataset"
+ config, split = get_default_config_split()
@@ -93 +94,2 @@ def test_pre_compute_post_compute(app_config: AppConfig, get_job_runner: GetJobR
- dataset, config, split = get_default_config_split("user/dataset")
+ dataset = "user/dataset"
+ config, split = get_default_config_split()
diff --git a/services/worker/tests/test_job_manager.py b/services/worker/tests/test_job_manager.py
index a01f4249..5ebc38f2 100644
--- a/services/worker/tests/test_job_manager.py
+++ b/services/worker/tests/test_job_manager.py
@@ -287 +287 @@ def test_doesnotexist(app_config: AppConfig) -> None:
- dataset, config, split = get_default_config_split(dataset)
+ config, split = get_default_config_split()
|
|
2ef60e0261573d4a69fe98d9c2ef77ec5d45aaab
|
Albert Villanova del Moral
| 2023-08-03T16:18:54 |
Update datasets 2.14.3 (#1614)
|
diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock
index b8fef47f..67c60823 100644
--- a/front/admin_ui/poetry.lock
+++ b/front/admin_ui/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
@@ -529 +529 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -533 +533 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -535,2 +535,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -541 +541 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -543 +543 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -560,3 +560,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -569 +569 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1249 +1249 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock
index e61523c4..68c240bb 100644
--- a/jobs/cache_maintenance/poetry.lock
+++ b/jobs/cache_maintenance/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
@@ -579 +579 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -583 +583 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -585,2 +585,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -591 +591 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -593 +593 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -610,3 +610,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -619 +619 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1027 +1027 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock
index e61523c4..68c240bb 100644
--- a/jobs/mongodb_migration/poetry.lock
+++ b/jobs/mongodb_migration/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
@@ -579 +579 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -583 +583 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -585,2 +585,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -591 +591 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -593 +593 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -610,3 +610,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -619 +619 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1027 +1027 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock
index e9f5f658..7cda531f 100644
--- a/libs/libapi/poetry.lock
+++ b/libs/libapi/poetry.lock
@@ -624 +624 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -628 +628 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -630,2 +630,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -636 +636 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -638 +638 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -655,3 +655,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -664 +664 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1084 +1084 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/libs/libcommon/poetry.lock b/libs/libcommon/poetry.lock
index a070ad0a..fc4917e9 100644
--- a/libs/libcommon/poetry.lock
+++ b/libs/libcommon/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
@@ -579 +579 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -583 +583 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -585,2 +585,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -591 +591 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -593 +593 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -610,3 +610,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -619 +619 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -3014 +3014 @@ python-versions = "3.9.15"
-content-hash = "13edd58f1c9acd0ece1f9a251b35a17408486c1963188825c6b3f379eb7a8eb2"
+content-hash = "182da244596a37965e340ccc74e8d96962a671992e6386b48f9dd6f71de5d06f"
diff --git a/libs/libcommon/pyproject.toml b/libs/libcommon/pyproject.toml
index 56244192..8da0eb7e 100644
--- a/libs/libcommon/pyproject.toml
+++ b/libs/libcommon/pyproject.toml
@@ -10 +10 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock
index 9f3a1e44..f216681b 100644
--- a/services/admin/poetry.lock
+++ b/services/admin/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
@@ -579 +579 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -583 +583 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -585,2 +585,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -591 +591 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -593 +593 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -610,3 +610,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -619 +619 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1085 +1085 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/services/api/poetry.lock b/services/api/poetry.lock
index 44f0a9f5..868f4d75 100644
--- a/services/api/poetry.lock
+++ b/services/api/poetry.lock
@@ -625 +625 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -629 +629 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -631,2 +631,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -637 +637 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -639 +639 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -656,3 +656,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -665 +665 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1175 +1175 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/services/rows/poetry.lock b/services/rows/poetry.lock
index bb29db8a..f0f09307 100644
--- a/services/rows/poetry.lock
+++ b/services/rows/poetry.lock
@@ -624 +624 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -628 +628 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -630,2 +630,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -636 +636 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -638 +638 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -655,3 +655,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -664 +664 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1186 +1186 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock
index 92a583b1..a40bd384 100644
--- a/services/worker/poetry.lock
+++ b/services/worker/poetry.lock
@@ -910 +910 @@ name = "datasets"
-version = "2.13.1"
+version = "2.14.3"
@@ -914 +914 @@ optional = false
-python-versions = ">=3.7.0"
+python-versions = ">=3.8.0"
@@ -916,2 +916,2 @@ files = [
- {file = "datasets-2.13.1-py3-none-any.whl", hash = "sha256:844d8dbc1759e0b6b8e5063af019dc95d6af07ea075002b03323a280bf8d53f6"},
- {file = "datasets-2.13.1.tar.gz", hash = "sha256:bacb7750b1a434417312b4281a55225a3f7e0163abdd12a2a3e2d700310d5221"},
+ {file = "datasets-2.14.3-py3-none-any.whl", hash = "sha256:8da5868e55e7c1f0bf3356913a14a9926fe5eca66663691886b95bc9c9b065f0"},
+ {file = "datasets-2.14.3.tar.gz", hash = "sha256:5fb20465a990cf7946f961884ba46fec19cdc95b1cd2cad2a7b87c8d183b02e1"},
@@ -922 +922 @@ aiohttp = "*"
-dill = ">=0.3.0,<0.3.7"
+dill = ">=0.3.0,<0.3.8"
@@ -924 +924 @@ fsspec = {version = ">=2021.11.1", extras = ["http"]}
-huggingface-hub = ">=0.11.0,<1.0.0"
+huggingface-hub = ">=0.14.0,<1.0.0"
@@ -941,3 +941,3 @@ audio = ["librosa", "soundfile (>=0.12.1)"]
-benchmarks = ["numpy (==1.18.5)", "protobuf (==3.20.3)", "tensorflow (==2.3.0)", "torch (==1.7.1)", "transformers (==3.0.2)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
-docs = ["s3fs"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
@@ -950 +950 @@ tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
@@ -1839 +1839 @@ appdirs = "^1.4.4"
-datasets = {version = "^2.13.1", extras = ["audio", "vision"]}
+datasets = {version = "^2.14.3", extras = ["audio", "vision"]}
|
|
22243e3abda85a259d4a6a34cffa7e544519b6f4
|
Andrea Francis Soria Jimenez
| 2023-08-03T15:37:54 |
Increase replicas for all worker (#1615)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 0e61243d..28827aaf 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -346 +346 @@ workers:
- replicas: 60
+ replicas: 100
|
|
3811de18e361a02298b1f34a9ff8353b6e0581fb
|
Andrea Francis Soria Jimenez
| 2023-08-03T15:12:24 |
test: add basic e2e for /statistics (#1612)
|
diff --git a/e2e/tests/test_16_statistics.py b/e2e/tests/test_16_statistics.py
new file mode 100644
index 00000000..2d69b09d
--- /dev/null
+++ b/e2e/tests/test_16_statistics.py
@@ -0,0 +1,73 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from .fixtures.hub import AuthHeaders, AuthType
+from .utils import get_default_config_split, poll_until_ready_and_assert
+
+
+def test_statistics_endpoint(
+ auth_headers: AuthHeaders,
+ hf_public_dataset_repo_csv_data: str,
+) -> None:
+ auth: AuthType = "none"
+ expected_status_code: int = 200
+ expected_error_code = None
+ # TODO: add dataset with various splits, or various configs
+ dataset, config, split = get_default_config_split(hf_public_dataset_repo_csv_data)
+ headers = auth_headers[auth]
+ statistics_response = poll_until_ready_and_assert(
+ relative_url=f"/statistics?dataset={dataset}&config={config}&split={split}",
+ expected_status_code=expected_status_code,
+ expected_error_code=expected_error_code,
+ headers=headers,
+ check_x_revision=True,
+ )
+
+ content = statistics_response.json()
+ assert "num_examples" in content, statistics_response
+ assert "statistics" in content, statistics_response
+ statistics = content["statistics"]
+ num_examples = content["num_examples"]
+
+ assert isinstance(statistics, list), statistics
+ assert len(statistics) == 2
+ assert num_examples == 4
+
+ first_column = statistics[0]
+ assert "column_name" in first_column
+ assert "column_statistics" in first_column
+ assert "column_type" in first_column
+ assert first_column["column_name"] == "col_2"
+ assert first_column["column_type"] == "int"
+ assert isinstance(first_column["column_statistics"], dict)
+ assert first_column["column_statistics"] == {
+ "histogram": {"bin_edges": [0, 1, 2, 3, 3], "hist": [1, 1, 1, 1]},
+ "max": 3,
+ "mean": 1.5,
+ "median": 1.5,
+ "min": 0,
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "std": 1.29099,
+ }
+
+ second_column = statistics[1]
+ assert "column_name" in second_column
+ assert "column_statistics" in second_column
+ assert "column_type" in second_column
+ assert second_column["column_name"] == "col_3"
+ assert second_column["column_type"] == "float"
+ assert isinstance(second_column["column_statistics"], dict)
+ assert second_column["column_statistics"] == {
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "min": 0.0,
+ "max": 3.0,
+ "mean": 1.5,
+ "median": 1.5,
+ "std": 1.29099,
+ "histogram": {
+ "hist": [1, 0, 0, 1, 0, 0, 1, 0, 0, 1],
+ "bin_edges": [0.0, 0.3, 0.6, 0.9, 1.2, 1.5, 1.8, 2.1, 2.4, 2.7, 3.0],
+ },
+ }
diff --git a/e2e/tests/test_52_search.py b/e2e/tests/test_52_search.py
index 55389e46..98840903 100644
--- a/e2e/tests/test_52_search.py
+++ b/e2e/tests/test_52_search.py
@@ -2 +2 @@
-# Copyright 2022 The HuggingFace Authors.
+# Copyright 2023 The HuggingFace Authors.
|
|
128d7031d51ec4c9b23cdce568c020cb0f8bbd30
|
Andrea Francis Soria Jimenez
| 2023-08-02T21:27:37 |
Increase resources (#1611)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 514eb64a..0e61243d 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -346 +346 @@ workers:
- replicas: 40
+ replicas: 60
@@ -363 +363 @@ workers:
- replicas: 15
+ replicas: 25
|
|
41bfb3d7cafb616c4075f51ffe1f3251727bb211
|
Sylvain Lesage
| 2023-08-02T21:02:53 |
fix: 🐛 fix docker image name (#1610)
|
diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index b3f5f7c3..698c6f38 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -121 +121 @@ jobs:
- storage-admin:
+ storageAdmin:
|
|
244af936fbbce3441bf96d9119b363556b0d1bd7
|
Andrea Francis Soria Jimenez
| 2023-08-02T21:00:24 |
Set another cache directory because of permissions (#1608)
|
diff --git a/services/search/src/search/routes/search.py b/services/search/src/search/routes/search.py
index 554b7316..79bea59f 100644
--- a/services/search/src/search/routes/search.py
+++ b/services/search/src/search/routes/search.py
@@ -67,0 +68 @@ REPO_TYPE = "dataset"
+HUB_DOWNLOAD_CACHE_FOLDER = "cache"
@@ -79,0 +81 @@ def download_index_file(
+ cache_folder: str,
@@ -98,0 +101 @@ def download_index_file(
+ cache_dir=cache_folder,
@@ -291 +294,8 @@ def create_search_endpoint(
- download_index_file(index_folder, target_revision, dataset, repo_file_location, hf_token)
+ download_index_file(
+ cache_folder=f"{duckdb_index_file_directory}/{HUB_DOWNLOAD_CACHE_FOLDER}",
+ index_folder=index_folder,
+ target_revision=target_revision,
+ dataset=dataset,
+ repo_file_location=repo_file_location,
+ hf_token=hf_token,
+ )
|
|
e76e32f92d8e98e4fe96816a040746f84e804501
|
Sylvain Lesage
| 2023-08-02T20:51:56 |
feat: 🎸 build a Docker image for storageAdmin to have rsync (#1609)
|
diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index 73e8634a..b3f5f7c3 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -35,0 +36,2 @@ jobs:
+ - directory: services
+ project: storage-admin
@@ -118,0 +121,2 @@ jobs:
+ storage-admin:
+ tag: sha-${{ steps.vars.outputs.sha_short }}
diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace
index 4d93f7a1..6fe77b3d 100644
--- a/.vscode/monorepo.code-workspace
+++ b/.vscode/monorepo.code-workspace
@@ -34,0 +35,4 @@
+ {
+ "name": "services/reverse-proxy",
+ "path": "../services/reverse-proxy"
+ },
@@ -44,2 +48,2 @@
- "name": "services/worker",
- "path": "../services/worker"
+ "name": "services/storage-admin",
+ "path": "../services/storage-admin"
@@ -48,2 +52,2 @@
- "name": "services/reverse-proxy",
- "path": "../services/reverse-proxy"
+ "name": "services/worker",
+ "path": "../services/worker"
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 712abea1..514eb64a 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -56,0 +57,5 @@ images:
+ storageAdmin:
+ registry: huggingface
+ useGlobalRegistry: false
+ repository: datasets-server-services-storage-admin
+ tag: sha-fb3399a
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index e8c0ec4f..18e30b9d 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -52,0 +53,5 @@ images:
+ storageAdmin:
+ registry: huggingface
+ useGlobalRegistry: false
+ repository: datasets-server-services-storage-admin
+ tag: sha-fb3399a
diff --git a/chart/templates/_common/_helpers.tpl b/chart/templates/_common/_helpers.tpl
index e14ae75a..dd6ad00b 100644
--- a/chart/templates/_common/_helpers.tpl
+++ b/chart/templates/_common/_helpers.tpl
@@ -56,0 +57,4 @@ Docker image management
+{{- define "services.storageAdmin.image" -}}
+{{ include "hf.common.images.image" (dict "imageRoot" .Values.images.services.storageAdmin "global" .Values.global.huggingface) }}
+{{- end -}}
+
diff --git a/chart/templates/storage-admin/_container.tpl b/chart/templates/storage-admin/_container.tpl
index b6ae2de6..f776e8ff 100644
--- a/chart/templates/storage-admin/_container.tpl
+++ b/chart/templates/storage-admin/_container.tpl
@@ -6 +6 @@
- image: ubuntu:focal
+ image: {{ include "services.storageAdmin.image" . }}
@@ -40,3 +39,0 @@
- command:
- - 'sleep'
- - 'infinity'
diff --git a/chart/values.yaml b/chart/values.yaml
index 6b7da3e8..ab17fe84 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -62,0 +63,5 @@ images:
+ storageAdmin:
+ registry: huggingface
+ useGlobalRegistry: false
+ repository: datasets-server-services-storage-admin
+ tag: sha-fb3399a
diff --git a/services/storage-admin/Dockerfile b/services/storage-admin/Dockerfile
new file mode 100644
index 00000000..9c9faaca
--- /dev/null
+++ b/services/storage-admin/Dockerfile
@@ -0,0 +1,10 @@
+# build with
+# docker build -t some_tag_storage-admin -f Dockerfile ../..
+FROM ubuntu:jammy
+
+# System deps:
+RUN apt-get update \
+ && apt-get install -y rsync unzip wget curl \
+ && rm -rf /var/lib/apt/lists/*
+
+ENTRYPOINT ["sleep", "infinity"]
diff --git a/services/storage-admin/README.md b/services/storage-admin/README.md
new file mode 100644
index 00000000..1bf04f1f
--- /dev/null
+++ b/services/storage-admin/README.md
@@ -0,0 +1,3 @@
+# Datasets server - storage admin
+
+> A Ubuntu machine to log into and manage the storage manually
|
|
6c5bc42396037c6e7038cea2fd73c0f437c42266
|
Sylvain Lesage
| 2023-08-02T19:51:41 |
feat: 🎸 mount EFS storage for parquet-metadata on storage-admin (#1607)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 43a3fbb5..712abea1 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -99 +99 @@ persistence:
- parquet:
+ parquetMetadata:
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index 113ef89d..e8c0ec4f 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -95 +95 @@ persistence:
- parquet:
+ parquetMetadata:
diff --git a/chart/templates/_initContainers/_initContainerParquetMetadataNew.tpl b/chart/templates/_initContainers/_initContainerParquetMetadataNew.tpl
new file mode 100644
index 00000000..8fe68431
--- /dev/null
+++ b/chart/templates/_initContainers/_initContainerParquetMetadataNew.tpl
@@ -0,0 +1,21 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "initContainerParquetMetadataNew" -}}
+- name: prepare-parquet-metadata-new
+ image: ubuntu:focal
+ imagePullPolicy: {{ .Values.images.pullPolicy }}
+ command: ["/bin/sh", "-c"]
+ args:
+ - chown {{ .Values.uid }}:{{ .Values.gid }} /mounted-path;
+ volumeMounts:
+ - mountPath: /mounted-path
+ mountPropagation: None
+ name: volume-parquet-metadata
+ subPath: "{{ include "parquetMetadata.subpath" . }}"
+ readOnly: false
+ securityContext:
+ runAsNonRoot: false
+ runAsUser: 0
+ runAsGroup: 0
+{{- end -}}
diff --git a/chart/templates/_volumeMounts/_volumeMountParquetMetadataNew.tpl b/chart/templates/_volumeMounts/_volumeMountParquetMetadataNew.tpl
new file mode 100644
index 00000000..fd84f864
--- /dev/null
+++ b/chart/templates/_volumeMounts/_volumeMountParquetMetadataNew.tpl
@@ -0,0 +1,18 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "volumeMountParquetMetadataNewRO" -}}
+- mountPath: {{ .Values.parquetMetadata.storageDirectoryNew | quote }}
+ mountPropagation: None
+ name: volume-parquet-metadata
+ subPath: "{{ include "parquetMetadata.subpath" . }}"
+ readOnly: true
+{{- end -}}
+
+{{- define "volumeMountParquetMetadataNewRW" -}}
+- mountPath: {{ .Values.parquetMetadata.storageDirectoryNew | quote }}
+ mountPropagation: None
+ name: volume-parquet-metadata
+ subPath: "{{ include "parquetMetadata.subpath" . }}"
+ readOnly: false
+{{- end -}}
diff --git a/chart/templates/_volumes/_volumeParquetMetadata.tpl b/chart/templates/_volumes/_volumeParquetMetadata.tpl
new file mode 100644
index 00000000..4b0890e4
--- /dev/null
+++ b/chart/templates/_volumes/_volumeParquetMetadata.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeParquetMetadata" -}}
+- name: volume-parquet-metadata
+ persistentVolumeClaim:
+ claimName: {{ .Values.persistence.parquetMetadata.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/storage-admin/_container.tpl b/chart/templates/storage-admin/_container.tpl
index a580cb73..b6ae2de6 100644
--- a/chart/templates/storage-admin/_container.tpl
+++ b/chart/templates/storage-admin/_container.tpl
@@ -9,0 +10,2 @@
+ {{ include "volumeMountDescriptiveStatisticsRW" . | nindent 2 }}
+ {{ include "volumeMountDuckDBIndexRW" . | nindent 2 }}
@@ -12,2 +14 @@
- {{ include "volumeMountDuckDBIndexRW" . | nindent 2 }}
- {{ include "volumeMountDescriptiveStatisticsRW" . | nindent 2 }}
+ {{ include "volumeMountParquetMetadataNewRW" . | nindent 2 }}
@@ -29,0 +31,4 @@
+ - mountPath: /volumes/parquet-metadata
+ mountPropagation: None
+ name: volume-parquet-metadata
+ readOnly: false
diff --git a/chart/templates/storage-admin/deployment.yaml b/chart/templates/storage-admin/deployment.yaml
index 3fcfac7d..4888334a 100644
--- a/chart/templates/storage-admin/deployment.yaml
+++ b/chart/templates/storage-admin/deployment.yaml
@@ -21,0 +22,2 @@ spec:
+ {{ include "initContainerDescriptiveStatistics" . | nindent 8 }}
+ {{ include "initContainerDuckDBIndex" . | nindent 8 }}
@@ -24,2 +26 @@ spec:
- {{ include "initContainerDuckDBIndex" . | nindent 8 }}
- {{ include "initContainerDescriptiveStatistics" . | nindent 8 }}
+ {{ include "initContainerParquetMetadataNew" . | nindent 8 }}
@@ -29,0 +31,2 @@ spec:
+ {{ include "volumeDescriptiveStatistics" . | nindent 8 }}
+ {{ include "volumeDuckDBIndex" . | nindent 8 }}
@@ -32,2 +35 @@ spec:
- {{ include "volumeDuckDBIndex" . | nindent 8 }}
- {{ include "volumeDescriptiveStatistics" . | nindent 8 }}
+ {{ include "volumeParquetMetadata" . | nindent 8 }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 3a379ea2..6b7da3e8 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -120 +120 @@ persistence:
- parquet:
+ parquetMetadata:
@@ -244,0 +245,2 @@ parquetMetadata:
+ # Temporary - to synchronize the files from NFS to dedicated EFS
+ storageDirectoryNew: "/storage/parquet-metadata-new"
|
|
704b06123d2277967d0d3cee094336fd1c66c9a0
|
Andrea Francis Soria Jimenez
| 2023-08-02T18:52:46 |
feat: /search endpoint (#1516)
|
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml
index 25fccf99..7819cfeb 100644
--- a/.github/workflows/_e2e_tests.yml
+++ b/.github/workflows/_e2e_tests.yml
@@ -36,0 +37,2 @@ jobs:
+ SEARCH_UVICORN_NUM_WORKERS: "2"
+ SEARCH_UVICORN_PORT: "8083"
@@ -42,0 +45 @@ jobs:
+ DUCKDB_INDEX_COMMITTER_HF_TOKEN: "hf_app_datasets-server-parquet-converter_token"
@@ -74,0 +78,2 @@ jobs:
+ SEARCH_UVICORN_NUM_WORKERS: "2"
+ SEARCH_UVICORN_PORT: "8083"
@@ -80,0 +86 @@ jobs:
+ DUCKDB_INDEX_COMMITTER_HF_TOKEN: "hf_app_datasets-server-parquet-converter_token"
@@ -85 +91 @@ jobs:
- poetry run python -m pytest -vv -x tests
+ poetry run python -m pytest -vv -s tests
diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml
index 770cf6e9..73e8634a 100644
--- a/.github/workflows/cd.yml
+++ b/.github/workflows/cd.yml
@@ -33,0 +34,2 @@ jobs:
+ - directory: services
+ project: search
@@ -114,0 +117,2 @@ jobs:
+ search:
+ tag: sha-${{ steps.vars.outputs.sha_short }}
diff --git a/.github/workflows/s-search.yml b/.github/workflows/s-search.yml
new file mode 100644
index 00000000..5169ec50
--- /dev/null
+++ b/.github/workflows/s-search.yml
@@ -0,0 +1,35 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+name: services/search
+on:
+ workflow_dispatch:
+ push:
+ branches:
+ - main
+ paths:
+ - "libs/libapi/**"
+ - "libs/libcommon/**"
+ - "services/search/**"
+ - ".github/workflows/s-search.yml"
+ - ".github/workflows/_quality-python.yml"
+ - ".github/workflows/_unit-tests-python.yml"
+ - "tools/docker-compose-mongo.yml"
+ pull_request:
+ paths:
+ - "libs/libapi/**"
+ - "libs/libcommon/**"
+ - "services/search/**"
+ - ".github/workflows/s-search.yml"
+ - ".github/workflows/_quality-python.yml"
+ - ".github/workflows/_unit-tests-python.yml"
+ - "tools/docker-compose-mongo.yml"
+jobs:
+ quality:
+ uses: ./.github/workflows/_quality-python.yml
+ with:
+ working-directory: services/search
+ unit-tests:
+ uses: ./.github/workflows/_unit-tests-python.yml
+ with:
+ working-directory: services/search
diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace
index b1be9dde..4d93f7a1 100644
--- a/.vscode/monorepo.code-workspace
+++ b/.vscode/monorepo.code-workspace
@@ -38,0 +39,4 @@
+ {
+ "name": "services/search",
+ "path": "../services/search"
+ },
diff --git a/Makefile b/Makefile
index 71571e13..380352bd 100644
--- a/Makefile
+++ b/Makefile
@@ -5,0 +6 @@ export PORT_ROWS := 8182
+export PORT_SEARCH := 8183
@@ -24 +25 @@ start:
- MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) up
+ MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) up
@@ -28 +29 @@ stop:
- MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) down
+ MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) down
@@ -32 +33 @@ dev-start:
- MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) up
+ MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) up
@@ -36 +37 @@ dev-stop:
- MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) down
+ MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) down
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index c69cb76e..43a3fbb5 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -14,0 +15 @@ global:
+ search: 31372
@@ -50,0 +52,5 @@ images:
+ search:
+ registry: huggingface
+ useGlobalRegistry: false
+ repository: datasets-server-services-search
+ tag: sha-fb3399a
@@ -267,0 +274,3 @@ admin:
+hf:
+ timeoutSeconds: "1.5"
+
@@ -269,2 +277,0 @@ api:
- # the timeout in seconds for the requests to the Hugging Face Hub.
- hfTimeoutSeconds: "1.5"
@@ -290,2 +296,0 @@ rows:
- # the timeout in seconds for the requests to the Hugging Face Hub.
- hfTimeoutSeconds: "1.5"
@@ -308,0 +314,18 @@ rows:
+search:
+ # Number of uvicorn workers for running the application
+ # (2 x $num_cores) + 1
+ # https://docs.gunicorn.org/en/stable/design.html#how-many-workers
+ uvicornNumWorkers: "9"
+ nodeSelector:
+ role-datasets-server-search: "true"
+ replicas: 12
+ service:
+ type: NodePort
+ resources:
+ requests:
+ cpu: 1
+ memory: "4Gi"
+ limits:
+ cpu: 4
+ memory: "8Gi"
+
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index e23d2bcf..113ef89d 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -47,0 +48,5 @@ images:
+ search:
+ registry: huggingface
+ useGlobalRegistry: false
+ repository: datasets-server-services-search
+ tag: sha-fb3399a
@@ -241,0 +247,13 @@ rows:
+search:
+ uvicornNumWorkers: "1"
+ replicas: 1
+ service:
+ type: NodePort
+ resources:
+ requests:
+ cpu: 100m
+ memory: "512Mi"
+ limits:
+ cpu: 1
+ memory: "4Gi"
+
diff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template
index 7efde8a0..56886a2e 100644
--- a/chart/nginx-templates/default.conf.template
+++ b/chart/nginx-templates/default.conf.template
@@ -58,0 +59,9 @@ server {
+ location /search {
+ proxy_pass ${URL_SEARCH}/search;
+ 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;
+ }
+
diff --git a/chart/templates/_common/_helpers.tpl b/chart/templates/_common/_helpers.tpl
index 6ccf13e9..e14ae75a 100644
--- a/chart/templates/_common/_helpers.tpl
+++ b/chart/templates/_common/_helpers.tpl
@@ -52,0 +53,4 @@ Docker image management
+{{- define "services.search.image" -}}
+{{ include "hf.common.images.image" (dict "imageRoot" .Values.images.services.search "global" .Values.global.huggingface) }}
+{{- end -}}
+
@@ -109,0 +114,5 @@ app.kubernetes.io/component: "{{ include "name" . }}-rows"
+{{- define "labels.search" -}}
+{{ include "hf.labels.commons" . }}
+app.kubernetes.io/component: "{{ include "name" . }}-search"
+{{- end -}}
+
@@ -182 +191 @@ The parquet-metadata/ subpath in the NFS
-The duckdb-index/ subpath in the NFS
+The duckdb-index/ subpath in EFS
@@ -239,0 +249,8 @@ See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-a
+{{/*
+The URL to access the search service from another container
+See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records
+*/}}
+{{- define "search.url" -}}
+{{- printf "http://%s-search.%s.svc.cluster.local:80" ( include "name" . ) ( .Release.Namespace ) }}
+{{- end }}
+
diff --git a/chart/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl
index 6ae0be54..794208e7 100644
--- a/chart/templates/reverse-proxy/_container.tpl
+++ b/chart/templates/reverse-proxy/_container.tpl
@@ -22,0 +23,2 @@
+ - name: URL_SEARCH
+ value: {{ include "search.url" . | quote }}
diff --git a/chart/templates/services/api/_container.tpl b/chart/templates/services/api/_container.tpl
index 3740f4e4..f64b68c5 100644
--- a/chart/templates/services/api/_container.tpl
+++ b/chart/templates/services/api/_container.tpl
@@ -16 +16 @@
- value: {{ .Values.api.hfAuthPath | quote }}
+ value: {{ .Values.hf.authPath | quote }}
@@ -18 +18 @@
- value: {{ .Values.api.hfJwtPublicKeyUrl | quote }}
+ value: {{ .Values.hf.jwtPublicKeyUrl | quote }}
@@ -20 +20 @@
- value: {{ .Values.api.hfJwtAlgorithm | quote }}
+ value: {{ .Values.hf.jwtAlgorithm | quote }}
@@ -22 +22 @@
- value: {{ .Values.api.hfTimeoutSeconds | quote }}
+ value: {{ .Values.hf.timeoutSeconds | quote }}
diff --git a/chart/templates/services/rows/_container.tpl b/chart/templates/services/rows/_container.tpl
index c8b242db..4787ff77 100644
--- a/chart/templates/services/rows/_container.tpl
+++ b/chart/templates/services/rows/_container.tpl
@@ -18 +18 @@
- value: {{ .Values.rows.hfAuthPath | quote }}
+ value: {{ .Values.hf.authPath | quote }}
@@ -20 +20 @@
- value: {{ .Values.rows.hfJwtPublicKeyUrl | quote }}
+ value: {{ .Values.hf.jwtPublicKeyUrl | quote }}
@@ -22 +22 @@
- value: {{ .Values.rows.hfJwtAlgorithm | quote }}
+ value: {{ .Values.hf.jwtAlgorithm | quote }}
@@ -24 +24 @@
- value: {{ .Values.rows.hfTimeoutSeconds | quote }}
+ value: {{ .Values.hf.timeoutSeconds | quote }}
diff --git a/chart/templates/services/search/_container.tpl b/chart/templates/services/search/_container.tpl
new file mode 100644
index 00000000..0e33c156
--- /dev/null
+++ b/chart/templates/services/search/_container.tpl
@@ -0,0 +1,75 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "containerSearch" -}}
+- name: "{{ include "name" . }}-search"
+ image: {{ include "services.search.image" . }}
+ imagePullPolicy: {{ .Values.images.pullPolicy }}
+ env:
+ {{ include "envCachedAssets" . | nindent 2 }}
+ {{ include "envCache" . | nindent 2 }}
+ {{ include "envQueue" . | nindent 2 }}
+ {{ include "envCommon" . | nindent 2 }}
+ {{ include "envLog" . | nindent 2 }}
+ # service
+ - name: API_HF_AUTH_PATH
+ value: {{ .Values.hf.authPath | quote }}
+ - name: API_HF_JWT_PUBLIC_KEY_URL
+ value: {{ .Values.hf.jwtPublicKeyUrl | quote }}
+ - name: API_HF_JWT_ALGORITHM
+ value: {{ .Values.hf.jwtAlgorithm | quote }}
+ - name: API_HF_TIMEOUT_SECONDS
+ value: {{ .Values.hf.timeoutSeconds | quote }}
+ - name: API_HF_WEBHOOK_SECRET
+ {{- if .Values.secrets.hfWebhookSecret.fromSecret }}
+ valueFrom:
+ secretKeyRef:
+ name: {{ .Values.secrets.hfWebhookSecret.secretName | quote }}
+ key: WEBHOOK_SECRET
+ optional: false
+ {{- else }}
+ value: {{ .Values.secrets.hfWebhookSecret.value }}
+ {{- end }}
+ - name: API_MAX_AGE_LONG
+ value: {{ .Values.search.maxAgeLong | quote }}
+ - name: API_MAX_AGE_SHORT
+ value: {{ .Values.search.maxAgeShort | quote }}
+ # prometheus
+ - name: PROMETHEUS_MULTIPROC_DIR
+ value: {{ .Values.search.prometheusMultiprocDirectory | quote }}
+ # uvicorn
+ - name: API_UVICORN_HOSTNAME
+ value: {{ .Values.search.uvicornHostname | quote }}
+ - name: API_UVICORN_NUM_WORKERS
+ value: {{ .Values.search.uvicornNumWorkers | quote }}
+ - name: API_UVICORN_PORT
+ value: {{ .Values.search.uvicornPort | quote }}
+ # duckdb
+ - name: DUCKDB_INDEX_TARGET_REVISION
+ value: {{ .Values.duckDBIndex.targetRevision | quote }}
+ - name: DUCKDB_INDEX_STORAGE_DIRECTORY
+ value: {{ .Values.duckDBIndex.cacheDirectory | quote }}
+ volumeMounts:
+ {{ include "volumeMountCachedAssetsRW" . | nindent 2 }}
+ {{ include "volumeMountDuckDBIndexRW" . | nindent 2 }}
+ securityContext:
+ allowPrivilegeEscalation: false
+ readinessProbe:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
+ port: {{ .Values.search.uvicornPort }}
+ livenessProbe:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
+ port: {{ .Values.search.uvicornPort }}
+ ports:
+ - containerPort: {{ .Values.search.uvicornPort }}
+ name: http
+ protocol: TCP
+ resources:
+ {{ toYaml .Values.search.resources | nindent 4 }}
+{{- end -}}
diff --git a/chart/templates/services/search/deployment.yaml b/chart/templates/services/search/deployment.yaml
new file mode 100644
index 00000000..3eacde5b
--- /dev/null
+++ b/chart/templates/services/search/deployment.yaml
@@ -0,0 +1,36 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+ labels: {{ include "labels.search" . | nindent 4 }}
+ name: "{{ include "name" . }}-search"
+ namespace: {{ .Release.Namespace }}
+spec:
+ progressDeadlineSeconds: 600
+ replicas: {{ .Values.search.replicas }}
+ revisionHistoryLimit: 10
+ selector:
+ matchLabels: {{ include "labels.search" . | nindent 6 }}
+ strategy:
+ rollingUpdate:
+ maxSurge: 25%
+ maxUnavailable: 25%
+ type: RollingUpdate
+ template:
+ metadata:
+ labels: {{ include "labels.search" . | nindent 8 }}
+ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
+ {{- include "image.imagePullSecrets" . | nindent 6 }}
+ initContainers:
+ {{ include "initContainerCachedAssets" . | nindent 8 }}
+ {{ include "initContainerDuckDBIndex" . | nindent 8 }}
+ containers: {{ include "containerSearch" . | nindent 8 }}
+ nodeSelector: {{ toYaml .Values.search.nodeSelector | nindent 8 }}
+ tolerations: {{ toYaml .Values.search.tolerations | nindent 8 }}
+ volumes:
+ {{ include "volumeNfs" . | nindent 8 }}
+ {{ include "volumeDuckDBIndex" . | nindent 8 }}
+ securityContext: {{ include "securityContext" . | nindent 8 }}
diff --git a/chart/templates/services/search/pdb.yaml b/chart/templates/services/search/pdb.yaml
new file mode 100644
index 00000000..75d48f55
--- /dev/null
+++ b/chart/templates/services/search/pdb.yaml
@@ -0,0 +1,13 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+apiVersion: policy/v1
+kind: PodDisruptionBudget
+metadata:
+ labels: {{ include "labels.search" . | nindent 4 }}
+ name: "{{ include "name" . }}-search"
+ namespace: {{ .Release.Namespace }}
+spec:
+ maxUnavailable: 1
+ selector:
+ matchLabels: {{ include "labels.search" . | nindent 6 }}
diff --git a/chart/templates/services/search/service.yaml b/chart/templates/services/search/service.yaml
new file mode 100644
index 00000000..8ed00dfc
--- /dev/null
+++ b/chart/templates/services/search/service.yaml
@@ -0,0 +1,22 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{ $serviceType := .Values.reverseProxy.service.type | default .Values.global.huggingface.service.type }}
+apiVersion: v1
+kind: Service
+metadata:
+ name: "{{ include "name" . }}-search"
+ annotations: {{ toYaml .Values.search.service.annotations | nindent 4 }}
+ namespace: {{ .Release.Namespace }}
+ labels: {{ include "labels.search" . | nindent 4 }}
+spec:
+ ports:
+ - name: http
+ port: 80
+ protocol: TCP
+ {{- if eq "NodePort" $serviceType }}
+ nodePort: {{ .Values.global.huggingface.service.ports.datasetsServer.search }}
+ {{- end }}
+ targetPort: {{ .Values.search.uvicornPort }}
+ selector: {{ include "labels.search" . | nindent 4 }}
+ type: {{ $serviceType }}
diff --git a/chart/templates/services/search/servicemonitor.yaml b/chart/templates/services/search/servicemonitor.yaml
new file mode 100644
index 00000000..196005f9
--- /dev/null
+++ b/chart/templates/services/search/servicemonitor.yaml
@@ -0,0 +1,20 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- if .Values.monitoring.enabled }}
+apiVersion: monitoring.coreos.com/v1
+kind: ServiceMonitor
+metadata:
+ labels: {{ include "labels.search" . | nindent 4 }}
+ name: "{{ include "name" . }}-search"
+ namespace: {{ .Release.Namespace }}
+spec:
+ endpoints:
+ - path: /metrics
+ port: http
+ namespaceSelector:
+ matchNames:
+ - {{ .Release.Namespace }}
+ selector:
+ matchLabels: {{ include "labels.search" . | nindent 6 }}
+{{- end }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 3c074a0f..3a379ea2 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -20,0 +21 @@ global:
+ search: 30024
@@ -56,0 +58,5 @@ images:
+ search:
+ registry: huggingface
+ useGlobalRegistry: false
+ repository: datasets-server-services-search
+ tag: sha-fb3399a
@@ -402 +408 @@ admin:
-api:
+hf:
@@ -405 +411 @@ api:
- hfAuthPath: "/api/datasets/%s/auth-check"
+ authPath: "/api/datasets/%s/auth-check"
@@ -409 +415 @@ api:
- hfJwtPublicKeyUrl: "https://huggingface.co/api/keys/jwt"
+ jwtPublicKeyUrl: "https://huggingface.co/api/keys/jwt"
@@ -411 +417 @@ api:
- hfJwtAlgorithm: "EdDSA"
+ jwtAlgorithm: "EdDSA"
@@ -413 +419,3 @@ api:
- hfTimeoutSeconds: "0.2"
+ timeoutSeconds: "0.2"
+
+api:
@@ -441,11 +448,0 @@ rows:
- # the path of the external authentication service on the hub.
- # The string must contain `%s` which will be replaced with the dataset name.
- hfAuthPath: "/api/datasets/%s/auth-check"
- # the URL where the "Hub JWT public key" is published. The "Hub JWT public key" must be in JWK format.
- # It helps to decode a JWT sent by the Hugging Face Hub, for example, to bypass the external authentication
- # check (JWT in the 'X-Api-Key' header). If not set, the JWT are ignored.
- hfJwtPublicKeyUrl: "https://huggingface.co/api/keys/jwt"
- # the algorithm used to encode the JWT.
- hfJwtAlgorithm: "EdDSA"
- # the timeout in seconds for the requests to the Hugging Face Hub.
- hfTimeoutSeconds: "0.2"
@@ -464 +461,28 @@ rows:
- uvicornPort: 8082
+ uvicornPort: 8080
+
+ nodeSelector: {}
+ replicas: 1
+ resources:
+ requests:
+ cpu: 0
+ limits:
+ cpu: 0
+ service:
+ type: ""
+ annotations: {}
+ tolerations: []
+
+search:
+ # Number of seconds to set in the `max-age` header on data endpoints
+ maxAgeLong: "120"
+ # Number of seconds to set in the `max-age` header on technical endpoints
+ maxAgeShort: "10"
+ # Directory where the uvicorn workers will write the prometheus metrics
+ # see https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn
+ prometheusMultiprocDirectory: "/tmp"
+ # Hostname - it must not be set to localhost to work in Kube!
+ uvicornHostname: "0.0.0.0"
+ # Number of uvicorn workers for running the application
+ uvicornNumWorkers: "1"
+ # Application endpoint port
+ uvicornPort: 8080
diff --git a/e2e/Makefile b/e2e/Makefile
index c1ac31e8..42598aaa 100644
--- a/e2e/Makefile
+++ b/e2e/Makefile
@@ -13,0 +14,2 @@ export ROWS_UVICORN_PORT := 9082
+export SEARCH_UVICORN_NUM_WORKERS := 2
+export SEARCH_UVICORN_PORT := 9083
@@ -20,0 +23 @@ export PARQUET_AND_INFO_COMMITTER_HF_TOKEN := hf_app_datasets-server-parquet-con
+export DUCKDB_INDEX_COMMITTER_HF_TOKEN := hf_app_datasets-server-parquet-converter_token
diff --git a/e2e/tests/fixtures/files.py b/e2e/tests/fixtures/files.py
index 204b2081..e7c0f3d4 100644
--- a/e2e/tests/fixtures/files.py
+++ b/e2e/tests/fixtures/files.py
@@ -10,4 +10,4 @@ DATA = [
- {"col_1": "0", "col_2": 0, "col_3": 0.0},
- {"col_1": "1", "col_2": 1, "col_3": 1.0},
- {"col_1": "2", "col_2": 2, "col_3": 2.0},
- {"col_1": "3", "col_2": 3, "col_3": 3.0},
+ {"col_1": "There goes another one.", "col_2": 0, "col_3": 0.0},
+ {"col_1": "Vader turns round and round in circles as his ship spins into space.", "col_2": 1, "col_3": 1.0},
+ {"col_1": "We count thirty Rebel ships, Lord Vader.", "col_2": 2, "col_3": 2.0},
+ {"col_1": "The wingman spots the pirateship coming at him and warns the Dark Lord", "col_2": 3, "col_3": 3.0},
diff --git a/e2e/tests/test_11_api.py b/e2e/tests/test_11_api.py
index d40b8b68..b3a43305 100644
--- a/e2e/tests/test_11_api.py
+++ b/e2e/tests/test_11_api.py
@@ -124 +124,9 @@ def test_rows_endpoint(
- assert rows[0] == {"row_idx": 1, "row": {"col_1": 1, "col_2": 1, "col_3": 1.0}, "truncated_cells": []}, rows[0]
+ assert rows[0] == {
+ "row_idx": 1,
+ "row": {
+ "col_1": "Vader turns round and round in circles as his ship spins into space.",
+ "col_2": 1,
+ "col_3": 1.0,
+ },
+ "truncated_cells": [],
+ }, rows[0]
@@ -126 +134 @@ def test_rows_endpoint(
- {"feature_idx": 0, "name": "col_1", "type": {"dtype": "int64", "_type": "Value"}},
+ {"feature_idx": 0, "name": "col_1", "type": {"dtype": "string", "_type": "Value"}},
diff --git a/e2e/tests/test_50_search_healthcheck.py b/e2e/tests/test_50_search_healthcheck.py
new file mode 100644
index 00000000..90c0576c
--- /dev/null
+++ b/e2e/tests/test_50_search_healthcheck.py
@@ -0,0 +1,11 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from .utils import SEARCH_URL, poll
+
+
+def test_healthcheck() -> None:
+ # this tests ensures the /healthcheck and the /metrics endpoints are hidden
+ response = poll("/healthcheck", expected_code=200, url=SEARCH_URL)
+ assert response.status_code == 200, f"{response.status_code} - {response.text}"
+ assert "ok" in response.text, response.text
diff --git a/e2e/tests/test_51_search_metrics.py b/e2e/tests/test_51_search_metrics.py
new file mode 100644
index 00000000..d0fbc06c
--- /dev/null
+++ b/e2e/tests/test_51_search_metrics.py
@@ -0,0 +1,49 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+import os
+import re
+from typing import Mapping
+
+from .utils import SEARCH_URL, get
+
+
+def has_metric(name: str, labels: Mapping[str, str], metric_names: set[str]) -> bool:
+ label_str = ",".join([f'{k}="{v}"' for k, v in labels.items()])
+ s = name + "{" + label_str + "}"
+ return any(re.match(s, metric_name) is not None for metric_name in metric_names)
+
+
+def test_metrics() -> None:
+ assert "PROMETHEUS_MULTIPROC_DIR" in os.environ
+ response = get("/metrics", url=SEARCH_URL)
+ assert response.status_code == 200, f"{response.status_code} - {response.text}"
+ content = response.text
+ lines = content.split("\n")
+ # examples:
+ # starlette_requests_total{method="GET",path_template="/metrics"} 1.0
+ # method_steps_processing_time_seconds_sum{method="healthcheck_endpoint",step="all"} 1.6772013623267412e-05
+ metrics = {
+ parts[0]: float(parts[1]) for line in lines if line and line[0] != "#" and (parts := line.rsplit(" ", 1))
+ }
+ # see https://github.com/prometheus/client_python#multiprocess-mode-eg-gunicorn
+ assert "process_start_time_seconds" not in metrics
+
+ # the middleware should have recorded the request
+ name = 'starlette_requests_total{method="GET",path_template="/metrics"}'
+ assert name in metrics, metrics
+ assert metrics[name] > 0, metrics
+
+ metric_names = set(metrics.keys())
+ for endpoint in ["/search"]:
+ # these metrics are only available in the admin API
+ assert not has_metric(
+ name="queue_jobs_total",
+ labels={"pid": "[0-9]*", "queue": endpoint, "status": "started"},
+ metric_names=metric_names,
+ ), f"queue_jobs_total - endpoint={endpoint} found in {metrics}"
+ assert not has_metric(
+ name="responses_in_cache_total",
+ labels={"error_code": "None", "http_status": "200", "path": endpoint, "pid": "[0-9]*"},
+ metric_names=metric_names,
+ ), f"responses_in_cache_total - endpoint {endpoint} found in {metrics}"
diff --git a/e2e/tests/test_52_search.py b/e2e/tests/test_52_search.py
new file mode 100644
index 00000000..55389e46
--- /dev/null
+++ b/e2e/tests/test_52_search.py
@@ -0,0 +1,60 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+from .fixtures.hub import AuthHeaders, AuthType
+from .utils import get_default_config_split, poll_until_ready_and_assert
+
+
+def test_search_endpoint(
+ auth_headers: AuthHeaders,
+ hf_public_dataset_repo_csv_data: str,
+) -> None:
+ auth: AuthType = "none"
+ expected_status_code: int = 200
+ expected_error_code = None
+ # TODO: add dataset with various splits, or various configs
+ dataset, config, split = get_default_config_split(hf_public_dataset_repo_csv_data)
+ headers = auth_headers[auth]
+ # ensure the /search endpoint works as well
+ offset = 1
+ length = 2
+ query = "Lord Vader"
+ search_response = poll_until_ready_and_assert(
+ relative_url=(
+ f"/search?dataset={dataset}&config={config}&split={split}&offset={offset}&length={length}&query={query}"
+ ),
+ expected_status_code=expected_status_code,
+ expected_error_code=expected_error_code,
+ headers=headers,
+ check_x_revision=True,
+ )
+ if not expected_error_code:
+ content = search_response.json()
+ assert "rows" in content, search_response
+ assert "features" in content, search_response
+ assert "num_total_rows" in content, search_response
+ rows = content["rows"]
+ features = content["features"]
+ num_total_rows = content["num_total_rows"]
+ assert isinstance(rows, list), rows
+ assert isinstance(features, list), features
+ assert num_total_rows == 3
+ assert rows[0] == {
+ "row_idx": 2,
+ "row": {"col_1": "We count thirty Rebel ships, Lord Vader.", "col_2": 2, "col_3": 2.0},
+ "truncated_cells": [],
+ }, rows[0]
+ assert rows[1] == {
+ "row_idx": 3,
+ "row": {
+ "col_1": "The wingman spots the pirateship coming at him and warns the Dark Lord",
+ "col_2": 3,
+ "col_3": 3.0,
+ },
+ "truncated_cells": [],
+ }, rows[1]
+ assert features == [
+ {"feature_idx": 0, "name": "col_1", "type": {"dtype": "string", "_type": "Value"}},
+ {"feature_idx": 1, "name": "col_2", "type": {"dtype": "int64", "_type": "Value"}},
+ {"feature_idx": 2, "name": "col_3", "type": {"dtype": "float64", "_type": "Value"}},
+ ], features
diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py
index 681aa72a..c475ff60 100644
--- a/e2e/tests/utils.py
+++ b/e2e/tests/utils.py
@@ -16,0 +17 @@ ROWS_UVICORN_PORT = os.environ.get("ROWS_UVICORN_PORT", "8082")
+SEARCH_UVICORN_PORT = os.environ.get("SEARCH_UVICORN_PORT", "8083")
@@ -23,0 +25 @@ ROWS_URL = f"http://localhost:{ROWS_UVICORN_PORT}"
+SEARCH_URL = f"http://localhost:{SEARCH_UVICORN_PORT}"
diff --git a/libs/libapi/src/libapi/utils.py b/libs/libapi/src/libapi/utils.py
index b616ee8c..68053db4 100644
--- a/libs/libapi/src/libapi/utils.py
+++ b/libs/libapi/src/libapi/utils.py
@@ -4,0 +5,2 @@ import logging
+import os
+import shutil
@@ -5,0 +8 @@ from http import HTTPStatus
+from itertools import islice
@@ -16,0 +20 @@ from libcommon.utils import Priority, RowItem, orjson_dumps
+from libcommon.viewer_utils.asset import glob_rows_in_assets_dir
@@ -141,0 +146 @@ def to_rows_list(
+ row_idx_column: Optional[str] = None,
@@ -157,0 +163 @@ def to_rows_list(
+ row_idx_column=row_idx_column,
@@ -165 +171 @@ def to_rows_list(
- "row_idx": idx + offset,
+ "row_idx": idx + offset if row_idx_column is None else row.pop(row_idx_column),
@@ -170,0 +177,63 @@ def to_rows_list(
+
+
+def _greater_or_equal(row_dir_name: str, row_idx: int, on_error: bool) -> bool:
+ try:
+ return int(row_dir_name) >= row_idx
+ except ValueError:
+ return on_error
+
+
+def clean_cached_assets(
+ dataset: str,
+ cached_assets_directory: StrPath,
+ keep_first_rows_number: int,
+ keep_most_recent_rows_number: int,
+ max_cleaned_rows_number: int,
+) -> None:
+ """
+ The cached assets directory is cleaned to save disk space using this simple (?) heuristic:
+
+ 1. it takes a big sample of rows from the cache using glob (max `max_cleaned_rows_number`)
+ 2. it keeps the most recent ones (max `keep_most_recent_rows_number`)
+ 3. it keeps the rows below a certain index (max `keep_first_rows_number`)
+ 4. it discards the rest
+
+ To check for the most recent rows, it looks at the "last modified time" of rows directories.
+ This time is updated every time a row is accessed using `update_last_modified_date_of_rows_in_assets_dir()`.
+
+ Args:
+ dataset (`str`):
+ Dataset name e.g `squad` or `lhoestq/demo1`.
+ Rows are cleaned in any dataset configuration or split of this dataset.
+ cached_assets_directory (`str`):
+ Directory containing the cached image and audio files
+ keep_first_rows_number (`int`):
+ Keep the rows with an index below a certain number
+ keep_most_recent_rows_number (`int`):
+ Keep the most recently accessed rows.
+ max_cleaned_rows_number (`int`):
+ Maximum number of rows to discard.
+ """
+ if keep_first_rows_number < 0 or keep_most_recent_rows_number < 0 or max_cleaned_rows_number < 0:
+ raise ValueError(
+ "Failed to run cached assets cleaning. Make sure all of keep_first_rows_number,"
+ f" keep_most_recent_rows_number and max_cleaned_rows_number are set (got {keep_first_rows_number},"
+ f" {keep_most_recent_rows_number} and {max_cleaned_rows_number})"
+ )
+ row_directories = glob_rows_in_assets_dir(dataset, cached_assets_directory)
+ row_directories_sample = list(
+ islice(
+ (
+ row_dir
+ for row_dir in row_directories
+ if _greater_or_equal(row_dir.name, keep_first_rows_number, on_error=True)
+ ),
+ max_cleaned_rows_number + keep_most_recent_rows_number,
+ )
+ )
+ if len(row_directories_sample) > keep_most_recent_rows_number:
+ row_dirs_to_delete = sorted(row_directories_sample, key=os.path.getmtime, reverse=True)[
+ keep_most_recent_rows_number:
+ ]
+ for row_dir_to_delete in row_dirs_to_delete:
+ shutil.rmtree(row_dir_to_delete, ignore_errors=True)
diff --git a/libs/libapi/tests/test_utils.py b/libs/libapi/tests/test_utils.py
new file mode 100644
index 00000000..5496a835
--- /dev/null
+++ b/libs/libapi/tests/test_utils.py
@@ -0,0 +1,57 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+import os
+import time
+from pathlib import Path
+from typing import List
+from unittest.mock import patch
+
+import pytest
+from libcommon.storage import StrPath
+
+from libapi.utils import clean_cached_assets
+
+
[email protected](
+ "n_rows,keep_most_recent_rows_number,keep_first_rows_number,max_cleaned_rows_number,expected_remaining_rows",
+ [
+ (8, 1, 1, 100, [0, 7]),
+ (8, 2, 2, 100, [0, 1, 6, 7]),
+ (8, 1, 1, 3, [0, 4, 5, 6, 7]),
+ ],
+)
+def test_clean_cached_assets(
+ tmp_path: Path,
+ n_rows: int,
+ keep_most_recent_rows_number: int,
+ keep_first_rows_number: int,
+ max_cleaned_rows_number: int,
+ expected_remaining_rows: list[int],
+) -> None:
+ cached_assets_directory = tmp_path / "cached-assets"
+ split_dir = cached_assets_directory / "ds/--/plain_text/train"
+ split_dir.mkdir(parents=True)
+ for i in range(n_rows):
+ (split_dir / str(i)).mkdir()
+ time.sleep(0.01)
+
+ def deterministic_glob_rows_in_assets_dir(
+ dataset: str,
+ assets_directory: StrPath,
+ ) -> List[Path]:
+ return sorted(
+ list(Path(assets_directory).resolve().glob(os.path.join(dataset, "--", "*", "*", "*"))),
+ key=lambda p: int(p.name),
+ )
+
+ with patch("libapi.utils.glob_rows_in_assets_dir", deterministic_glob_rows_in_assets_dir):
+ clean_cached_assets(
+ "ds",
+ cached_assets_directory,
+ keep_most_recent_rows_number=keep_most_recent_rows_number,
+ keep_first_rows_number=keep_first_rows_number,
+ max_cleaned_rows_number=max_cleaned_rows_number,
+ )
+ remaining_rows = sorted(int(row_dir.name) for row_dir in split_dir.glob("*"))
+ assert remaining_rows == expected_remaining_rows
diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py
index 58d4eed1..c80e8a1c 100644
--- a/libs/libcommon/src/libcommon/parquet_utils.py
+++ b/libs/libcommon/src/libcommon/parquet_utils.py
@@ -6 +6 @@ from functools import lru_cache, partial
-from typing import Callable, List, Literal, Optional, Tuple, TypedDict, Union
+from typing import Callable, List, Literal, Optional, TypedDict, Union
@@ -11,2 +11,2 @@ import pyarrow.parquet as pq
-from datasets import Features, Value
-from datasets.features.features import FeatureType, _visit
+from datasets import Features
+from datasets.features.features import FeatureType
@@ -19,0 +20 @@ from libcommon.storage import StrPath
+from libcommon.viewer_utils.features import get_supported_unsupported_columns
@@ -45,27 +45,0 @@ class ParquetFileMetadataItem(TypedDict):
-def get_supported_unsupported_columns(
- features: Features,
- unsupported_features: List[FeatureType] = [],
-) -> Tuple[List[str], List[str]]:
- supported_columns, unsupported_columns = [], []
-
- for column, feature in features.items():
- str_column = str(column)
- supported = True
-
- def classify(feature: FeatureType) -> None:
- nonlocal supported
- for unsupported_feature in unsupported_features:
- if type(unsupported_feature) == type(feature) == Value:
- if unsupported_feature.dtype == feature.dtype:
- supported = False
- elif type(unsupported_feature) == type(feature):
- supported = False
-
- _visit(feature, classify)
- if supported:
- supported_columns.append(str_column)
- else:
- unsupported_columns.append(str_column)
- return supported_columns, unsupported_columns
-
-
diff --git a/libs/libcommon/src/libcommon/rows_utils.py b/libs/libcommon/src/libcommon/rows_utils.py
index 4dac9c80..af05f1a7 100644
--- a/libs/libcommon/src/libcommon/rows_utils.py
+++ b/libs/libcommon/src/libcommon/rows_utils.py
@@ -4 +4 @@
-from typing import List
+from typing import List, Optional
@@ -21,0 +22 @@ def transform_rows(
+ row_idx_column: Optional[str],
@@ -29 +30 @@ def transform_rows(
- row_idx=offset + row_idx,
+ row_idx=offset + row_idx if row_idx_column is None else row[row_idx_column],
diff --git a/libs/libcommon/src/libcommon/utils.py b/libs/libcommon/src/libcommon/utils.py
index 2e5af029..30f21d02 100644
--- a/libs/libcommon/src/libcommon/utils.py
+++ b/libs/libcommon/src/libcommon/utils.py
@@ -9 +9 @@ from http import HTTPStatus
-from typing import Any, List, Mapping, Optional, TypedDict
+from typing import Any, Dict, List, Mapping, Optional, TypedDict
@@ -85 +85 @@ class RowItem(TypedDict):
-Row = Mapping[str, Any]
+Row = Dict[str, Any]
@@ -93,0 +94,6 @@ class FeatureItem(TypedDict):
+class PaginatedResponse(TypedDict):
+ features: List[FeatureItem]
+ rows: Any
+ num_total_rows: int
+
+
diff --git a/libs/libcommon/src/libcommon/viewer_utils/features.py b/libs/libcommon/src/libcommon/viewer_utils/features.py
index c85eb38e..6a0dfe6a 100644
--- a/libs/libcommon/src/libcommon/viewer_utils/features.py
+++ b/libs/libcommon/src/libcommon/viewer_utils/features.py
@@ -6 +6 @@ from io import BytesIO
-from typing import Any, List, Optional, Union
+from typing import Any, List, Optional, Tuple, Union
@@ -22,0 +23 @@ from datasets import (
+from datasets.features.features import FeatureType, _visit
@@ -300,0 +302,27 @@ def to_features_list(features: Features) -> List[FeatureItem]:
+
+
+def get_supported_unsupported_columns(
+ features: Features,
+ unsupported_features: List[FeatureType] = [],
+) -> Tuple[List[str], List[str]]:
+ supported_columns, unsupported_columns = [], []
+
+ for column, feature in features.items():
+ str_column = str(column)
+ supported = True
+
+ def classify(feature: FeatureType) -> None:
+ nonlocal supported
+ for unsupported_feature in unsupported_features:
+ if type(unsupported_feature) == type(feature) == Value:
+ if unsupported_feature.dtype == feature.dtype:
+ supported = False
+ elif type(unsupported_feature) == type(feature):
+ supported = False
+
+ _visit(feature, classify)
+ if supported:
+ supported_columns.append(str_column)
+ else:
+ unsupported_columns.append(str_column)
+ return supported_columns, unsupported_columns
diff --git a/libs/libcommon/tests/viewer_utils/test_features.py b/libs/libcommon/tests/viewer_utils/test_features.py
index 1d716bd3..50f62a9b 100644
--- a/libs/libcommon/tests/viewer_utils/test_features.py
+++ b/libs/libcommon/tests/viewer_utils/test_features.py
@@ -10 +10 @@ import pytest
-from datasets import Audio, Dataset, Image, Value
+from datasets import Audio, Dataset, Features, Image, Value
@@ -13 +13,4 @@ from libcommon.storage import StrPath
-from libcommon.viewer_utils.features import get_cell_value
+from libcommon.viewer_utils.features import (
+ get_cell_value,
+ get_supported_unsupported_columns,
+)
@@ -319,0 +323,19 @@ def test_others(
+
+
+def test_get_supported_unsupported_columns() -> None:
+ features = Features(
+ {
+ "audio1": Audio(),
+ "audio2": Audio(sampling_rate=16_000),
+ "audio3": [Audio()],
+ "image1": Image(),
+ "image2": Image(decode=False),
+ "image3": [Image()],
+ "string": Value("string"),
+ "binary": Value("binary"),
+ }
+ )
+ unsupported_features = [Value("binary"), Audio()]
+ supported_columns, unsupported_columns = get_supported_unsupported_columns(features, unsupported_features)
+ assert supported_columns == ["image1", "image2", "image3", "string"]
+ assert unsupported_columns == ["audio1", "audio2", "audio3", "binary"]
diff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md
index 2fc6a99b..f0881b1f 100644
--- a/services/reverse-proxy/README.md
+++ b/services/reverse-proxy/README.md
@@ -22,0 +23 @@ It takes various environment variables, all of them are mandatory:
+- `URL_SEARCH`= URL of the search service, eg `http://search:8083`
diff --git a/services/rows/src/rows/routes/rows.py b/services/rows/src/rows/routes/rows.py
index 830315d9..30a83e95 100644
--- a/services/rows/src/rows/routes/rows.py
+++ b/services/rows/src/rows/routes/rows.py
@@ -5 +4,0 @@ import logging
-import os
@@ -7,2 +5,0 @@ import random
-import shutil
-from itertools import islice
@@ -23,0 +21 @@ from libapi.utils import (
+ clean_cached_assets,
@@ -34,4 +32 @@ from libcommon.storage import StrPath
-from libcommon.viewer_utils.asset import (
- glob_rows_in_assets_dir,
- update_last_modified_date_of_rows_in_assets_dir,
-)
+from libcommon.viewer_utils.asset import update_last_modified_date_of_rows_in_assets_dir
@@ -54,63 +48,0 @@ UNSUPPORTED_FEATURES = [Value("binary"), Audio()]
-def _greater_or_equal(row_dir_name: str, row_idx: int, on_error: bool) -> bool:
- try:
- return int(row_dir_name) >= row_idx
- except ValueError:
- return on_error
-
-
-def clean_cached_assets(
- dataset: str,
- cached_assets_directory: StrPath,
- keep_first_rows_number: int,
- keep_most_recent_rows_number: int,
- max_cleaned_rows_number: int,
-) -> None:
- """
- The cached assets directory is cleaned to save disk space using this simple (?) heuristic:
-
- 1. it takes a big sample of rows from the cache using glob (max `max_cleaned_rows_number`)
- 2. it keeps the most recent ones (max `keep_most_recent_rows_number`)
- 3. it keeps the rows below a certain index (max `keep_first_rows_number`)
- 4. it discards the rest
-
- To check for the most recent rows, it looks at the "last modified time" of rows directories.
- This time is updated every time a row is accessed using `update_last_modified_date_of_rows_in_assets_dir()`.
-
- Args:
- dataset (`str`):
- Dataset name e.g `squad` or `lhoestq/demo1`.
- Rows are cleaned in any dataset configuration or split of this dataset.
- cached_assets_directory (`str`):
- Directory containing the cached image and audio files
- keep_first_rows_number (`int`):
- Keep the rows with an index below a certain number
- keep_most_recent_rows_number (`int`):
- Keep the most recently accessed rows.
- max_cleaned_rows_number (`int`):
- Maximum number of rows to discard.
- """
- if keep_first_rows_number < 0 or keep_most_recent_rows_number < 0 or max_cleaned_rows_number < 0:
- raise ValueError(
- "Failed to run cached assets cleaning. Make sure all of keep_first_rows_number,"
- f" keep_most_recent_rows_number and max_cleaned_rows_number are set (got {keep_first_rows_number},"
- f" {keep_most_recent_rows_number} and {max_cleaned_rows_number})"
- )
- row_directories = glob_rows_in_assets_dir(dataset, cached_assets_directory)
- row_directories_sample = list(
- islice(
- (
- row_dir
- for row_dir in row_directories
- if _greater_or_equal(row_dir.name, keep_first_rows_number, on_error=True)
- ),
- max_cleaned_rows_number + keep_most_recent_rows_number,
- )
- )
- if len(row_directories_sample) > keep_most_recent_rows_number:
- row_dirs_to_delete = sorted(row_directories_sample, key=os.path.getmtime, reverse=True)[
- keep_most_recent_rows_number:
- ]
- for row_dir_to_delete in row_dirs_to_delete:
- shutil.rmtree(row_dir_to_delete, ignore_errors=True)
-
-
diff --git a/services/rows/tests/routes/test_rows.py b/services/rows/tests/routes/test_rows.py
index 1ca6672e..673b93de 100644
--- a/services/rows/tests/routes/test_rows.py
+++ b/services/rows/tests/routes/test_rows.py
@@ -9 +9 @@ from pathlib import Path
-from typing import Any, Generator, List
+from typing import Any, Generator
@@ -14 +14 @@ import pytest
-from datasets import Audio, Dataset, Features, Image, Value, concatenate_datasets
+from datasets import Dataset, Image, concatenate_datasets
@@ -18,6 +18 @@ from fsspec.implementations.http import HTTPFileSystem
-from libcommon.parquet_utils import (
- Indexer,
- ParquetIndexWithMetadata,
- RowsIndex,
- get_supported_unsupported_columns,
-)
+from libcommon.parquet_utils import Indexer, ParquetIndexWithMetadata, RowsIndex
@@ -30 +25 @@ from rows.config import AppConfig
-from rows.routes.rows import clean_cached_assets, create_response
+from rows.routes.rows import create_response
@@ -382,44 +376,0 @@ def test_create_response_with_image(
[email protected](
- "n_rows,keep_most_recent_rows_number,keep_first_rows_number,max_cleaned_rows_number,expected_remaining_rows",
- [
- (8, 1, 1, 100, [0, 7]),
- (8, 2, 2, 100, [0, 1, 6, 7]),
- (8, 1, 1, 3, [0, 4, 5, 6, 7]),
- ],
-)
-def test_clean_cached_assets(
- tmp_path: Path,
- n_rows: int,
- keep_most_recent_rows_number: int,
- keep_first_rows_number: int,
- max_cleaned_rows_number: int,
- expected_remaining_rows: list[int],
-) -> None:
- cached_assets_directory = tmp_path / "cached-assets"
- split_dir = cached_assets_directory / "ds/--/plain_text/train"
- split_dir.mkdir(parents=True)
- for i in range(n_rows):
- (split_dir / str(i)).mkdir()
- time.sleep(0.01)
-
- def deterministic_glob_rows_in_assets_dir(
- dataset: str,
- assets_directory: StrPath,
- ) -> List[Path]:
- return sorted(
- list(Path(assets_directory).resolve().glob(os.path.join(dataset, "--", "*", "*", "*"))),
- key=lambda p: int(p.name),
- )
-
- with patch("rows.routes.rows.glob_rows_in_assets_dir", deterministic_glob_rows_in_assets_dir):
- clean_cached_assets(
- "ds",
- cached_assets_directory,
- keep_most_recent_rows_number=keep_most_recent_rows_number,
- keep_first_rows_number=keep_first_rows_number,
- max_cleaned_rows_number=max_cleaned_rows_number,
- )
- remaining_rows = sorted(int(row_dir.name) for row_dir in split_dir.glob("*"))
- assert remaining_rows == expected_remaining_rows
-
-
@@ -446,19 +396,0 @@ def test_update_last_modified_date_of_rows_in_assets_dir(tmp_path: Path) -> None
-
-
-def test_get_supported_unsupported_columns() -> None:
- features = Features(
- {
- "audio1": Audio(),
- "audio2": Audio(sampling_rate=16_000),
- "audio3": [Audio()],
- "image1": Image(),
- "image2": Image(decode=False),
- "image3": [Image()],
- "string": Value("string"),
- "binary": Value("binary"),
- }
- )
- unsupported_features = [Value("binary"), Audio()]
- supported_columns, unsupported_columns = get_supported_unsupported_columns(features, unsupported_features)
- assert supported_columns == ["image1", "image2", "image3", "string"]
- assert unsupported_columns == ["audio1", "audio2", "audio3", "binary"]
diff --git a/services/search/.flake8 b/services/search/.flake8
new file mode 100644
index 00000000..f7d6157c
--- /dev/null
+++ b/services/search/.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/search/.python-version b/services/search/.python-version
new file mode 100644
index 00000000..b326afbc
--- /dev/null
+++ b/services/search/.python-version
@@ -0,0 +1 @@
+3.9.15
diff --git a/services/search/Dockerfile b/services/search/Dockerfile
new file mode 100644
index 00000000..9bc89d44
--- /dev/null
+++ b/services/search/Dockerfile
@@ -0,0 +1,35 @@
+# build with
+# docker build -t some_tag_search -f Dockerfile ../..
+FROM python:3.9.15-slim
+
+ENV PYTHONFAULTHANDLER=1 \
+ PYTHONUNBUFFERED=1 \
+ PYTHONHASHSEED=random \
+ PIP_NO_CACHE_DIR=1 \
+ PIP_DISABLE_PIP_VERSION_CHECK=on \
+ PIP_DEFAULT_TIMEOUT=100 \
+ POETRY_NO_INTERACTION=1 \
+ # Versions:
+ POETRY_VERSION=1.4.2 \
+ POETRY_VIRTUALENVS_IN_PROJECT=true \
+ PATH="$PATH:/root/.local/bin"
+
+# System deps:
+RUN apt-get update \
+ && apt-get install -y build-essential unzip wget \
+ libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm pkg-config \
+ && rm -rf /var/lib/apt/lists/*
+RUN pip install -U pip
+RUN pip install "poetry==$POETRY_VERSION"
+
+WORKDIR /src
+COPY services/search/poetry.lock ./services/search/poetry.lock
+COPY services/search/pyproject.toml ./services/search/pyproject.toml
+COPY libs/libcommon ./libs/libcommon
+COPY libs/libapi ./libs/libapi
+WORKDIR /src/services/search/
+RUN poetry install --no-cache
+COPY services/search/src ./src
+RUN poetry install --no-cache
+
+ENTRYPOINT ["poetry", "run", "python", "src/search/main.py"]
diff --git a/services/search/Makefile b/services/search/Makefile
new file mode 100644
index 00000000..fca7fabc
--- /dev/null
+++ b/services/search/Makefile
@@ -0,0 +1,37 @@
+# environment variables for the commands (docker compose, poetry)
+export COMPOSE_PROJECT_NAME := search
+export MONGO_PORT := 27033
+export CACHE_MONGO_URL := mongodb://localhost:${MONGO_PORT}
+export QUEUE_MONGO_URL := mongodb://localhost:${MONGO_PORT}
+# makefile variables
+DOCKER_COMPOSE := ../../tools/docker-compose-mongo.yml
+TEST_PATH ?= tests
+
+include ../../tools/Python.mk
+include ../../tools/Docker.mk
+
+.PHONY: run
+run:
+ poetry run python src/search/main.py
+
+.PHONY: watch
+watch:
+ poetry run watchmedo auto-restart -d src/search -p "*.py" -R python src/search/main.py
+
+# override the default test target to test prometheus depending on the environment
+# we cannot set the env var with pytest.MonkeyPatch, it's too late
+.PHONY: test
+test:
+ $(MAKE) up
+ poetry run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH)
+ rm -rf /tmp/search.prometheus
+ mkdir /tmp/search.prometheus
+ PROMETHEUS_MULTIPROC_DIR=/tmp/search.prometheus poetry run python -m pytest -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH)
+ rm -rf /tmp/search.prometheus
+ $(MAKE) down
+
+.PHONY: coverage
+coverage:
+ $(MAKE) up
+ poetry run python -m pytest -s --cov --cov-report xml:coverage.xml --cov-report=term $(TEST_PATH)
+ $(MAKE) down
diff --git a/services/search/README.md b/services/search/README.md
new file mode 100644
index 00000000..6d692bb8
--- /dev/null
+++ b/services/search/README.md
@@ -0,0 +1,27 @@
+# Datasets server API - search endpoint
+
+> /search endpoint
+
+## Configuration
+
+The service can be configured using environment variables. They are grouped by scope.
+
+### Duckdb index full text search
+- `DUCKDB_INDEX_STORAGE_DIRECTORY`: directory where the temporal duckdb index files are downloaded. Defaults to empty.
+- `DUCKDB_INDEX_TARGET_REVISION`: the git revision of the dataset where the index file is stored in the dataset repository.
+
+### API service
+
+See [../../libs/libapi/README.md](../../libs/libapi/README.md) for more information about the API configuration.
+
+### Common
+
+See [../../libs/libcommon/README.md](../../libs/libcommon/README.md) for more information about the common configuration.
+
+## Endpoints
+
+See https://huggingface.co/docs/datasets-server
+
+- /healthcheck: ensure the app is running
+- /metrics: return a list of metrics in the Prometheus format
+- /search: get a slice of a search result over a dataset split
diff --git a/services/search/dev.Dockerfile b/services/search/dev.Dockerfile
new file mode 100644
index 00000000..3deea940
--- /dev/null
+++ b/services/search/dev.Dockerfile
@@ -0,0 +1,50 @@
+# build with
+# docker build -t some_tag_search -f Dockerfile ../..
+FROM python:3.9.15-slim
+
+ENV PYTHONFAULTHANDLER=1 \
+ PYTHONUNBUFFERED=1 \
+ PYTHONHASHSEED=random \
+ PIP_NO_CACHE_DIR=1 \
+ PIP_DISABLE_PIP_VERSION_CHECK=on \
+ PIP_DEFAULT_TIMEOUT=100 \
+ POETRY_NO_INTERACTION=1 \
+ # Versions:
+ POETRY_VERSION=1.4.2 \
+ POETRY_VIRTUALENVS_IN_PROJECT=true \
+ PATH="$PATH:/root/.local/bin"
+
+# System deps:
+RUN apt-get update \
+ && apt-get install -y build-essential unzip wget \
+ libicu-dev ffmpeg libavcodec-extra libsndfile1 llvm pkg-config \
+ && rm -rf /var/lib/apt/lists/*
+RUN pip install -U pip
+RUN pip install "poetry==$POETRY_VERSION"
+
+WORKDIR /src
+COPY libs/libcommon/poetry.lock ./libs/libcommon/poetry.lock
+COPY libs/libcommon/pyproject.toml ./libs/libcommon/pyproject.toml
+COPY libs/libapi/poetry.lock ./libs/libapi/poetry.lock
+COPY libs/libapi/pyproject.toml ./libs/libapi/pyproject.toml
+COPY services/search/poetry.lock ./services/search/poetry.lock
+COPY services/search/pyproject.toml ./services/search/pyproject.toml
+
+# FOR LOCAL DEVELOPMENT ENVIRONMENT
+# Initialize an empty libcommon
+# Mapping a volume to ./libs/libcommon/src is required when running this image.
+RUN mkdir ./libs/libcommon/src && mkdir ./libs/libcommon/src/libcommon && touch ./libs/libcommon/src/libcommon/__init__.py
+# Initialize an empty libapi
+# Mapping a volume to ./libs/libapi/src is required when running this image.
+RUN mkdir ./libs/libapi/src && mkdir ./libs/libapi/src/libapi && touch ./libs/libapi/src/libapi/__init__.py
+
+# Install dependencies
+WORKDIR /src/services/search/
+RUN --mount=type=cache,target=/home/.cache/pypoetry/cache \
+ --mount=type=cache,target=/home/.cache/pypoetry/artifacts \
+ poetry install --no-root
+
+# FOR LOCAL DEVELOPMENT ENVIRONMENT
+# Install the search package.
+# Mapping a volume to ./services/search/src is required when running this image.
+ENTRYPOINT ["/bin/sh", "-c" , "poetry install --only-root && poetry run python src/search/main.py"]
diff --git a/services/search/poetry.lock b/services/search/poetry.lock
new file mode 100644
index 00000000..2c7489e7
--- /dev/null
+++ b/services/search/poetry.lock
@@ -0,0 +1,3516 @@
+# This file is automatically @generated by Poetry and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.8.5"
+description = "Async http client/server framework (asyncio)"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+files = [
+ {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a94159871304770da4dd371f4291b20cac04e8c94f11bdea1c3478e557fbe0d8"},
+ {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:13bf85afc99ce6f9ee3567b04501f18f9f8dbbb2ea11ed1a2e079670403a7c84"},
+ {file = "aiohttp-3.8.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2ce2ac5708501afc4847221a521f7e4b245abf5178cf5ddae9d5b3856ddb2f3a"},
+ {file = "aiohttp-3.8.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:96943e5dcc37a6529d18766597c491798b7eb7a61d48878611298afc1fca946c"},
+ {file = "aiohttp-3.8.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2ad5c3c4590bb3cc28b4382f031f3783f25ec223557124c68754a2231d989e2b"},
+ {file = "aiohttp-3.8.5-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0c413c633d0512df4dc7fd2373ec06cc6a815b7b6d6c2f208ada7e9e93a5061d"},
+ {file = "aiohttp-3.8.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:df72ac063b97837a80d80dec8d54c241af059cc9bb42c4de68bd5b61ceb37caa"},
+ {file = "aiohttp-3.8.5-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c48c5c0271149cfe467c0ff8eb941279fd6e3f65c9a388c984e0e6cf57538e14"},
+ {file = "aiohttp-3.8.5-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:368a42363c4d70ab52c2c6420a57f190ed3dfaca6a1b19afda8165ee16416a82"},
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+ {file = "yarl-1.9.2.tar.gz", hash = "sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[metadata]
+lock-version = "2.0"
+python-versions = "3.9.15"
+content-hash = "176e011dee76ab4f4f3ce19177629b29290e9bc29744799c1c1925af67246142"
diff --git a/services/search/poetry.toml b/services/search/poetry.toml
new file mode 100644
index 00000000..5fcef8cd
--- /dev/null
+++ b/services/search/poetry.toml
@@ -0,0 +1,3 @@
+[virtualenvs]
+in-project = true
+prefer-active-python = true
diff --git a/services/search/pyproject.toml b/services/search/pyproject.toml
new file mode 100644
index 00000000..87ba4802
--- /dev/null
+++ b/services/search/pyproject.toml
@@ -0,0 +1,70 @@
+[tool.poetry]
+authors = ["The HuggingFace Authors."]
+description = "REST API app - /search endpoint"
+name = "search"
+version = "0.1.0"
+license = "Apache-2.0"
+
+[tool.poetry.dependencies]
+environs = "^9.5.0"
+jsonschema = "^4.17.0"
+libapi = {path = "../../libs/libapi", develop = true}
+pyarrow = "^11.0.0"
+python = "3.9.15"
+soundfile = ">=0.12.1"
+uvicorn = "^0.20.0"
+watchdog = { extras = ["watchmedo"], version = "^2.2.1" }
+duckdb = "^0.8.1"
+
+[tool.poetry.group.dev.dependencies]
+bandit = "^1.7.4"
+black = "^22.12.0"
+flake8 = "^3.9.2"
+httpx = "^0.23.3"
+isort = "^5.12.0"
+mypy = "^1.0.0"
+pandas-stubs = "^1.5.3"
+pip-audit = "^2.5.4"
+pytest = "^7.2.1"
+pytest-cov = "^2.12.1"
+types-psutil = "^5.9.5"
+types-jsonschema = "^4.17.0.4"
+types-requests = "^2.28.11"
+
+[build-system]
+build-backend = "poetry.core.masonry.api"
+requires = ["poetry-core>=1.0.0"]
+
+[tool.pytest.ini_options]
+filterwarnings = ["ignore::DeprecationWarning"]
+markers = [
+ "real_dataset: tests on the Hub",
+ "wip: tests being developed"
+]
+
+[tool.coverage.run]
+source = ["search"]
+
+[tool.isort]
+profile = "black"
+
+[tool.black]
+line-length = 119
+preview = true
+
+[tool.mypy]
+strict = true
+disallow_untyped_calls = false
+# ^ call to expected_algorithm.from_jwk forces to set this to false
+
+[[tool.mypy.overrides]]
+module = [
+ "datasets.*",
+ "huggingface_hub.*",
+ "prometheus_client.*",
+ "pyarrow.*",
+ "tqdm.*",
+ "fsspec.*"
+]
+# ^ prometheus_client is now typed, but starlette-prometheus requires an old version
+ignore_missing_imports = true
diff --git a/services/search/src/search/__init__.py b/services/search/src/search/__init__.py
new file mode 100644
index 00000000..fa0c50f2
--- /dev/null
+++ b/services/search/src/search/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
diff --git a/services/search/src/search/app.py b/services/search/src/search/app.py
new file mode 100644
index 00000000..e77fc190
--- /dev/null
+++ b/services/search/src/search/app.py
@@ -0,0 +1,107 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+import uvicorn
+from libapi.config import UvicornConfig
+from libapi.jwt_token import fetch_jwt_public_key
+from libapi.routes.healthcheck import healthcheck_endpoint
+from libapi.routes.metrics import create_metrics_endpoint
+from libcommon.log import init_logging
+from libcommon.processing_graph import ProcessingGraph
+from libcommon.resources import CacheMongoResource, QueueMongoResource, Resource
+from libcommon.storage import (
+ exists,
+ init_cached_assets_dir,
+ init_duckdb_index_cache_dir,
+)
+from starlette.applications import Starlette
+from starlette.middleware import Middleware
+from starlette.middleware.cors import CORSMiddleware
+from starlette.middleware.gzip import GZipMiddleware
+from starlette.routing import Route
+from starlette_prometheus import PrometheusMiddleware
+
+from search.config import AppConfig
+from search.routes.search import create_search_endpoint
+
+
+def create_app() -> Starlette:
+ app_config = AppConfig.from_env()
+ return create_app_with_config(app_config=app_config)
+
+
+def create_app_with_config(app_config: AppConfig) -> Starlette:
+ init_logging(level=app_config.log.level)
+ # ^ set first to have logs as soon as possible
+ cached_assets_directory = init_cached_assets_dir(directory=app_config.cached_assets.storage_directory)
+ if not exists(cached_assets_directory):
+ raise RuntimeError("The cached assets storage directory could not be accessed. Exiting.")
+
+ duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=app_config.duckdb_index.storage_directory)
+ if not exists(duckdb_index_cache_directory):
+ raise RuntimeError("The duckdb_index storage directory could not be accessed. Exiting.")
+
+ processing_graph = ProcessingGraph(app_config.processing_graph.specification)
+ hf_jwt_public_key = (
+ fetch_jwt_public_key(
+ url=app_config.api.hf_jwt_public_key_url,
+ hf_jwt_algorithm=app_config.api.hf_jwt_algorithm,
+ hf_timeout_seconds=app_config.api.hf_timeout_seconds,
+ )
+ if app_config.api.hf_jwt_public_key_url and app_config.api.hf_jwt_algorithm
+ else None
+ )
+
+ middleware = [
+ Middleware(
+ CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"], allow_credentials=True
+ ),
+ Middleware(GZipMiddleware),
+ Middleware(PrometheusMiddleware, filter_unhandled_paths=True),
+ ]
+
+ cache_resource = CacheMongoResource(database=app_config.cache.mongo_database, host=app_config.cache.mongo_url)
+ queue_resource = QueueMongoResource(database=app_config.queue.mongo_database, host=app_config.queue.mongo_url)
+ resources: list[Resource] = [cache_resource, queue_resource]
+ if not cache_resource.is_available():
+ raise RuntimeError("The connection to the cache database could not be established. Exiting.")
+ if not queue_resource.is_available():
+ raise RuntimeError("The connection to the queue database could not be established. Exiting.")
+
+ routes = [
+ Route("/healthcheck", endpoint=healthcheck_endpoint),
+ Route("/metrics", endpoint=create_metrics_endpoint()),
+ # ^ called by Prometheus
+ Route(
+ "/search",
+ endpoint=create_search_endpoint(
+ duckdb_index_file_directory=duckdb_index_cache_directory,
+ cached_assets_base_url=app_config.cached_assets.base_url,
+ cached_assets_directory=cached_assets_directory,
+ cache_max_days=app_config.cache.max_days,
+ target_revision=app_config.duckdb_index.target_revision,
+ hf_endpoint=app_config.common.hf_endpoint,
+ hf_token=app_config.common.hf_token,
+ hf_jwt_public_key=hf_jwt_public_key,
+ hf_jwt_algorithm=app_config.api.hf_jwt_algorithm,
+ external_auth_url=app_config.api.external_auth_url,
+ hf_timeout_seconds=app_config.api.hf_timeout_seconds,
+ processing_graph=processing_graph,
+ max_age_long=app_config.api.max_age_long,
+ max_age_short=app_config.api.max_age_short,
+ ),
+ ),
+ ]
+
+ return Starlette(routes=routes, middleware=middleware, on_shutdown=[resource.release for resource in resources])
+
+
+def start() -> None:
+ uvicorn_config = UvicornConfig.from_env()
+ uvicorn.run(
+ "app:create_app",
+ host=uvicorn_config.hostname,
+ port=uvicorn_config.port,
+ factory=True,
+ workers=uvicorn_config.num_workers,
+ )
diff --git a/services/search/src/search/config.py b/services/search/src/search/config.py
new file mode 100644
index 00000000..68201ff7
--- /dev/null
+++ b/services/search/src/search/config.py
@@ -0,0 +1,60 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from dataclasses import dataclass, field
+from typing import Optional
+
+from environs import Env
+from libapi.config import ApiConfig
+from libcommon.config import (
+ CacheConfig,
+ CachedAssetsConfig,
+ CommonConfig,
+ LogConfig,
+ ProcessingGraphConfig,
+ QueueConfig,
+)
+
+DUCKDB_INDEX_STORAGE_DIRECTORY = None
+DUCKDB_INDEX_TARGET_REVISION = "refs/convert/parquet"
+
+
+@dataclass(frozen=True)
+class DuckDbIndexConfig:
+ storage_directory: Optional[str] = DUCKDB_INDEX_STORAGE_DIRECTORY
+ target_revision: str = DUCKDB_INDEX_TARGET_REVISION
+
+ @classmethod
+ def from_env(cls) -> "DuckDbIndexConfig":
+ env = Env(expand_vars=True)
+ with env.prefixed("DUCKDB_INDEX_"):
+ return cls(
+ storage_directory=env.str(name="STORAGE_DIRECTORY", default=DUCKDB_INDEX_STORAGE_DIRECTORY),
+ target_revision=env.str(name="TARGET_REVISION", default=DUCKDB_INDEX_TARGET_REVISION),
+ )
+
+
+@dataclass(frozen=True)
+class AppConfig:
+ api: ApiConfig = field(default_factory=ApiConfig)
+ cached_assets: CachedAssetsConfig = field(default_factory=CachedAssetsConfig)
+ cache: CacheConfig = field(default_factory=CacheConfig)
+ common: CommonConfig = field(default_factory=CommonConfig)
+ log: LogConfig = field(default_factory=LogConfig)
+ queue: QueueConfig = field(default_factory=QueueConfig)
+ processing_graph: ProcessingGraphConfig = field(default_factory=ProcessingGraphConfig)
+ duckdb_index: DuckDbIndexConfig = field(default_factory=DuckDbIndexConfig)
+
+ @classmethod
+ def from_env(cls) -> "AppConfig":
+ common_config = CommonConfig.from_env()
+ return cls(
+ common=common_config,
+ cached_assets=CachedAssetsConfig.from_env(),
+ cache=CacheConfig.from_env(),
+ log=LogConfig.from_env(),
+ processing_graph=ProcessingGraphConfig.from_env(),
+ queue=QueueConfig.from_env(),
+ api=ApiConfig.from_env(hf_endpoint=common_config.hf_endpoint),
+ duckdb_index=DuckDbIndexConfig.from_env(),
+ )
diff --git a/services/search/src/search/main.py b/services/search/src/search/main.py
new file mode 100644
index 00000000..f196ffaf
--- /dev/null
+++ b/services/search/src/search/main.py
@@ -0,0 +1,7 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from search.app import start
+
+if __name__ == "__main__":
+ start()
diff --git a/services/search/src/search/py.typed b/services/search/src/search/py.typed
new file mode 100644
index 00000000..e69de29b
diff --git a/services/search/src/search/routes/__init__.py b/services/search/src/search/routes/__init__.py
new file mode 100644
index 00000000..fa0c50f2
--- /dev/null
+++ b/services/search/src/search/routes/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
diff --git a/services/search/src/search/routes/search.py b/services/search/src/search/routes/search.py
new file mode 100644
index 00000000..554b7316
--- /dev/null
+++ b/services/search/src/search/routes/search.py
@@ -0,0 +1,337 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+import json
+import logging
+import os
+import random
+import re
+from hashlib import sha1
+from http import HTTPStatus
+from pathlib import Path
+from typing import List, Optional, Tuple
+
+import duckdb
+import pyarrow as pa
+from datasets import Audio, Features, Image, Value
+from huggingface_hub import hf_hub_download
+from libapi.authentication import auth_check
+from libapi.exceptions import (
+ ApiError,
+ InvalidParameterError,
+ MissingRequiredParameterError,
+ UnexpectedApiError,
+)
+from libapi.utils import (
+ Endpoint,
+ are_valid_parameters,
+ clean_cached_assets,
+ get_json_api_error_response,
+ get_json_error_response,
+ get_json_ok_response,
+ to_rows_list,
+ try_backfill_dataset_then_raise,
+)
+from libcommon.processing_graph import ProcessingGraph, ProcessingStep
+from libcommon.prometheus import StepProfiler
+from libcommon.simple_cache import (
+ CACHED_RESPONSE_NOT_FOUND,
+ CacheEntry,
+ get_best_response,
+)
+from libcommon.storage import StrPath, init_dir
+from libcommon.utils import PaginatedResponse
+from libcommon.viewer_utils.features import (
+ get_supported_unsupported_columns,
+ to_features_list,
+)
+from starlette.requests import Request
+from starlette.responses import Response
+
+logger = logging.getLogger(__name__)
+
+
+ROW_IDX_COLUMN = "__hf_index_id"
+MAX_ROWS = 100
+UNSUPPORTED_FEATURES = [Value("binary"), Audio(), Image()]
+
+FTS_COMMAND_COUNT = (
+ "SELECT COUNT(*) FROM (SELECT __hf_index_id, fts_main_data.match_bm25(__hf_index_id, ?) AS score FROM"
+ " data) A WHERE score IS NOT NULL;"
+)
+
+FTS_COMMAND = (
+ "SELECT * EXCLUDE (score) FROM (SELECT *, fts_main_data.match_bm25(__hf_index_id, ?) AS score FROM "
+ "data) A WHERE score IS NOT NULL ORDER BY __hf_index_id OFFSET {offset} LIMIT {length};"
+)
+REPO_TYPE = "dataset"
+
+
+def get_download_folder(
+ root_directory: StrPath, dataset: str, config: str, split: str, revision: Optional[str]
+) -> str:
+ payload = (dataset, config, split, revision)
+ hash_suffix = sha1(json.dumps(payload, sort_keys=True).encode(), usedforsecurity=False).hexdigest()[:8]
+ subdirectory = "".join([c if re.match(r"[\w-]", c) else "-" for c in f"{dataset}-{hash_suffix}"])
+ return f"{root_directory}/downloads/{subdirectory}"
+
+
+def download_index_file(
+ index_folder: str,
+ target_revision: str,
+ dataset: str,
+ repo_file_location: str,
+ hf_token: Optional[str] = None,
+) -> None:
+ logging.info(f"init_dir {index_folder}")
+ init_dir(index_folder)
+
+ # see https://pypi.org/project/hf-transfer/ for more details about how to enable hf_transfer
+ os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
+ hf_hub_download(
+ repo_type=REPO_TYPE,
+ revision=target_revision,
+ repo_id=dataset,
+ filename=repo_file_location,
+ local_dir=index_folder,
+ local_dir_use_symlinks=False,
+ token=hf_token,
+ )
+
+
+def full_text_search(index_file_location: str, query: str, offset: int, length: int) -> Tuple[int, pa.Table]:
+ con = duckdb.connect(index_file_location, read_only=True)
+ count_result = con.execute(query=FTS_COMMAND_COUNT, parameters=[query]).fetchall()
+ num_total_rows = count_result[0][0] # it will always return a non empty list with one element in a tuple
+ logging.debug(f"got {num_total_rows=} results for {query=}")
+ query_result = con.execute(
+ query=FTS_COMMAND.format(offset=offset, length=length),
+ parameters=[query],
+ )
+ pa_table = query_result.arrow()
+ con.close()
+ return (num_total_rows, pa_table)
+
+
+def get_cache_entry_from_steps(
+ processing_steps: List[ProcessingStep],
+ dataset: str,
+ config: Optional[str],
+ split: Optional[str],
+ processing_graph: ProcessingGraph,
+ cache_max_days: int,
+ hf_endpoint: str,
+ hf_token: Optional[str] = None,
+ hf_timeout_seconds: Optional[float] = None,
+) -> CacheEntry:
+ """Gets the cache from the first successful step in the processing steps list.
+ If no successful result is found, it will return the last one even if it's an error,
+ Checks if job is still in progress by each processing step in case of no entry found.
+ Raises:
+ - [`~utils.ResponseNotFoundError`]
+ if no result is found.
+ - [`~utils.ResponseNotReadyError`]
+ if the response is not ready yet.
+ Returns: the cached record
+ """
+ kinds = [processing_step.cache_kind for processing_step in processing_steps]
+ best_response = get_best_response(kinds=kinds, dataset=dataset, config=config, split=split)
+ if "error_code" in best_response.response and best_response.response["error_code"] == CACHED_RESPONSE_NOT_FOUND:
+ try_backfill_dataset_then_raise(
+ processing_steps=processing_steps,
+ processing_graph=processing_graph,
+ dataset=dataset,
+ hf_endpoint=hf_endpoint,
+ hf_timeout_seconds=hf_timeout_seconds,
+ hf_token=hf_token,
+ cache_max_days=cache_max_days,
+ )
+ return best_response.response
+
+
+def create_response(
+ pa_table: pa.Table,
+ dataset: str,
+ config: str,
+ split: str,
+ cached_assets_base_url: str,
+ cached_assets_directory: StrPath,
+ offset: int,
+ num_total_rows: int,
+) -> PaginatedResponse:
+ features = Features.from_arrow_schema(pa_table.schema)
+
+ features_without_key = features.copy()
+ features_without_key.pop(ROW_IDX_COLUMN, None)
+
+ _, unsupported_columns = get_supported_unsupported_columns(
+ features,
+ unsupported_features=UNSUPPORTED_FEATURES,
+ )
+ pa_table = pa_table.drop(unsupported_columns)
+ return PaginatedResponse(
+ features=to_features_list(features_without_key),
+ rows=to_rows_list(
+ pa_table,
+ dataset,
+ config,
+ split,
+ cached_assets_base_url,
+ cached_assets_directory,
+ offset=offset,
+ features=features,
+ unsupported_columns=unsupported_columns,
+ row_idx_column=ROW_IDX_COLUMN,
+ ),
+ num_total_rows=num_total_rows,
+ )
+
+
+def create_search_endpoint(
+ processing_graph: ProcessingGraph,
+ duckdb_index_file_directory: StrPath,
+ cached_assets_base_url: str,
+ cached_assets_directory: StrPath,
+ target_revision: str,
+ cache_max_days: int,
+ hf_endpoint: str,
+ external_auth_url: Optional[str] = None,
+ hf_token: Optional[str] = None,
+ hf_jwt_public_key: Optional[str] = None,
+ hf_jwt_algorithm: Optional[str] = None,
+ hf_timeout_seconds: Optional[float] = None,
+ max_age_long: int = 0,
+ max_age_short: int = 0,
+ clean_cache_proba: float = 0.0,
+ keep_first_rows_number: int = -1,
+ keep_most_recent_rows_number: int = -1,
+ max_cleaned_rows_number: int = -1,
+) -> Endpoint:
+ async def search_endpoint(request: Request) -> Response:
+ revision: Optional[str] = None
+ with StepProfiler(method="search_endpoint", step="all"):
+ try:
+ with StepProfiler(method="search_endpoint", step="validate parameters"):
+ dataset = request.query_params.get("dataset")
+ config = request.query_params.get("config")
+ split = request.query_params.get("split")
+ query = request.query_params.get("query")
+
+ if (
+ not dataset
+ or not config
+ or not split
+ or not query
+ or not are_valid_parameters([dataset, config, split, query])
+ ):
+ raise MissingRequiredParameterError(
+ "Parameter 'dataset', 'config', 'split' and 'query' are required"
+ )
+
+ offset = int(request.query_params.get("offset", 0))
+ if offset < 0:
+ raise InvalidParameterError(message="Offset must be positive")
+
+ length = int(request.query_params.get("length", MAX_ROWS))
+ if length < 0:
+ raise InvalidParameterError("Length must be positive")
+ if length > MAX_ROWS:
+ raise InvalidParameterError(f"Length must be less than or equal to {MAX_ROWS}")
+
+ with StepProfiler(method="search_endpoint", step="check authentication"):
+ # if auth_check fails, it will raise an exception that will be caught below
+ auth_check(
+ dataset=dataset,
+ external_auth_url=external_auth_url,
+ request=request,
+ hf_jwt_public_key=hf_jwt_public_key,
+ hf_jwt_algorithm=hf_jwt_algorithm,
+ hf_timeout_seconds=hf_timeout_seconds,
+ )
+
+ logging.info(f"/search {dataset=} {config=} {split=} {query=} {offset=} {length=}")
+
+ with StepProfiler(method="search_endpoint", step="validate indexing was done"):
+ # no cache data is needed to download the index file
+ # but will help to validate if indexing was done
+ processing_steps = processing_graph.get_processing_step_by_job_type("split-duckdb-index")
+ result = get_cache_entry_from_steps(
+ processing_steps=[processing_steps],
+ dataset=dataset,
+ config=config,
+ split=split,
+ processing_graph=processing_graph,
+ hf_endpoint=hf_endpoint,
+ hf_token=hf_token,
+ hf_timeout_seconds=hf_timeout_seconds,
+ cache_max_days=cache_max_days,
+ )
+
+ content = result["content"]
+ http_status = result["http_status"]
+ error_code = result["error_code"]
+ revision = result["dataset_git_revision"]
+ if http_status != HTTPStatus.OK:
+ return get_json_error_response(
+ content=content,
+ status_code=http_status,
+ max_age=max_age_short,
+ error_code=error_code,
+ revision=revision,
+ )
+
+ with StepProfiler(method="search_endpoint", step="download index file if missing"):
+ file_name = content["filename"]
+ index_folder = get_download_folder(duckdb_index_file_directory, dataset, config, split, revision)
+ repo_file_location = f"{config}/{split}/{file_name}"
+ index_file_location = f"{index_folder}/{repo_file_location}"
+ index_path = Path(index_file_location)
+ if not index_path.is_file():
+ with StepProfiler(method="search_endpoint", step="download index file"):
+ download_index_file(index_folder, target_revision, dataset, repo_file_location, hf_token)
+
+ with StepProfiler(method="search_endpoint", step="perform FTS command"):
+ logging.debug(f"connect to index file {index_file_location}")
+ (num_total_rows, pa_table) = full_text_search(index_file_location, query, offset, length)
+ index_path.touch()
+
+ with StepProfiler(method="search_endpoint", step="clean cache"):
+ # no need to do it every time
+ if random.random() < clean_cache_proba: # nosec
+ if (
+ keep_first_rows_number < 0
+ and keep_most_recent_rows_number < 0
+ and max_cleaned_rows_number < 0
+ ):
+ logger.debug(
+ "Params keep_first_rows_number, keep_most_recent_rows_number and"
+ " max_cleaned_rows_number are not set. Skipping cached assets cleaning."
+ )
+ else:
+ clean_cached_assets(
+ dataset=dataset,
+ cached_assets_directory=cached_assets_directory,
+ keep_first_rows_number=keep_first_rows_number,
+ keep_most_recent_rows_number=keep_most_recent_rows_number,
+ max_cleaned_rows_number=max_cleaned_rows_number,
+ )
+
+ with StepProfiler(method="search_endpoint", step="create response"):
+ response = create_response(
+ pa_table,
+ dataset,
+ config,
+ split,
+ cached_assets_base_url,
+ cached_assets_directory,
+ offset,
+ num_total_rows,
+ )
+ with StepProfiler(method="search_endpoint", step="generate the OK response"):
+ return get_json_ok_response(response, max_age=max_age_long, revision=revision)
+ except Exception as e:
+ error = e if isinstance(e, ApiError) else UnexpectedApiError("Unexpected error.", e)
+ with StepProfiler(method="search_endpoint", step="generate API error response"):
+ return get_json_api_error_response(error=error, max_age=max_age_short, revision=revision)
+
+ return search_endpoint
diff --git a/services/search/tests/__init__.py b/services/search/tests/__init__.py
new file mode 100644
index 00000000..fa0c50f2
--- /dev/null
+++ b/services/search/tests/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
diff --git a/services/search/tests/conftest.py b/services/search/tests/conftest.py
new file mode 100644
index 00000000..11ff97fb
--- /dev/null
+++ b/services/search/tests/conftest.py
@@ -0,0 +1,97 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from typing import Iterator
+
+from libapi.config import UvicornConfig
+from libcommon.processing_graph import ProcessingGraph
+from libcommon.queue import _clean_queue_database
+from libcommon.resources import CacheMongoResource, QueueMongoResource
+from libcommon.simple_cache import _clean_cache_database
+from libcommon.storage import (
+ StrPath,
+ init_cached_assets_dir,
+ init_duckdb_index_cache_dir,
+)
+from pytest import MonkeyPatch, fixture
+
+from search.config import AppConfig
+
+
+# see https://github.com/pytest-dev/pytest/issues/363#issuecomment-406536200
+@fixture(scope="session")
+def monkeypatch_session() -> Iterator[MonkeyPatch]:
+ monkeypatch_session = MonkeyPatch()
+ monkeypatch_session.setenv("CACHE_MONGO_DATABASE", "datasets_server_cache_test")
+ monkeypatch_session.setenv("QUEUE_MONGO_DATABASE", "datasets_server_queue_test")
+ monkeypatch_session.setenv("CACHED_ASSETS_BASE_URL", "http://localhost/cached-assets")
+ hostname = "localhost"
+ port = "8888"
+ monkeypatch_session.setenv("API_HF_TIMEOUT_SECONDS", "10")
+ monkeypatch_session.setenv("API_UVICORN_HOSTNAME", hostname)
+ monkeypatch_session.setenv("API_UVICORN_PORT", port)
+ monkeypatch_session.setenv("COMMON_HF_ENDPOINT", f"http://{hostname}:{port}")
+ yield monkeypatch_session
+ monkeypatch_session.undo()
+
+
+@fixture(scope="session")
+def app_config(monkeypatch_session: MonkeyPatch) -> AppConfig:
+ app_config = AppConfig.from_env()
+ if "test" not in app_config.cache.mongo_database or "test" not in app_config.queue.mongo_database:
+ raise ValueError("Test must be launched on a test mongo database")
+ return app_config
+
+
+@fixture(scope="session")
+def processing_graph(app_config: AppConfig) -> ProcessingGraph:
+ return ProcessingGraph(app_config.processing_graph.specification)
+
+
+@fixture(scope="session")
+def search_endpoint() -> str:
+ return "/search"
+
+
+@fixture(autouse=True)
+def cache_mongo_resource(app_config: AppConfig) -> Iterator[CacheMongoResource]:
+ with CacheMongoResource(database=app_config.cache.mongo_database, host=app_config.cache.mongo_url) as resource:
+ yield resource
+ _clean_cache_database()
+
+
+@fixture(autouse=True)
+def queue_mongo_resource(app_config: AppConfig) -> Iterator[QueueMongoResource]:
+ with QueueMongoResource(database=app_config.queue.mongo_database, host=app_config.queue.mongo_url) as resource:
+ yield resource
+ _clean_queue_database()
+
+
+@fixture(scope="session")
+def uvicorn_config(monkeypatch_session: MonkeyPatch) -> UvicornConfig:
+ return UvicornConfig.from_env()
+
+
+@fixture(scope="session")
+def httpserver_listen_address(uvicorn_config: UvicornConfig) -> tuple[str, int]:
+ return (uvicorn_config.hostname, uvicorn_config.port)
+
+
+@fixture(scope="session")
+def hf_endpoint(app_config: AppConfig) -> str:
+ return app_config.common.hf_endpoint
+
+
+@fixture(scope="session")
+def hf_auth_path(app_config: AppConfig) -> str:
+ return app_config.api.hf_auth_path
+
+
+@fixture
+def cached_assets_directory(app_config: AppConfig) -> StrPath:
+ return init_cached_assets_dir(app_config.cached_assets.storage_directory)
+
+
+@fixture
+def duckdb_index_cache_directory(app_config: AppConfig) -> StrPath:
+ return init_duckdb_index_cache_dir(app_config.duckdb_index.storage_directory)
diff --git a/services/search/tests/routes/__init__.py b/services/search/tests/routes/__init__.py
new file mode 100644
index 00000000..fa0c50f2
--- /dev/null
+++ b/services/search/tests/routes/__init__.py
@@ -0,0 +1,2 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
diff --git a/services/search/tests/routes/test_search.py b/services/search/tests/routes/test_search.py
new file mode 100644
index 00000000..5a6bc20a
--- /dev/null
+++ b/services/search/tests/routes/test_search.py
@@ -0,0 +1,104 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+import os
+from typing import Any
+
+import duckdb
+import pandas as pd
+import pyarrow as pa
+import pytest
+from libcommon.storage import StrPath
+
+from search.routes.search import full_text_search, get_download_folder
+
+
+def test_get_download_folder(duckdb_index_cache_directory: StrPath) -> None:
+ dataset, config, split, revision = "dataset", "config", "split", "revision"
+ index_folder = get_download_folder(duckdb_index_cache_directory, dataset, config, split, revision)
+ assert index_folder is not None
+ assert str(duckdb_index_cache_directory) in index_folder
+
+
[email protected](
+ "query,offset,length,expected_result, expected_num_total_rows",
+ [
+ (
+ "Lord Vader",
+ 0,
+ 100,
+ {
+ "__hf_index_id": [0, 2, 4],
+ "text": [
+ "Grand Moff Tarkin and Lord Vader are interrupted in their discussion by the buzz of the comlink",
+ "Vader turns round and round in circles as his ship spins into space.",
+ "The wingman spots the pirateship coming at him and warns the Dark Lord",
+ ],
+ },
+ 3,
+ ),
+ (
+ "Lord Vader",
+ 1,
+ 2,
+ {
+ "__hf_index_id": [2, 4],
+ "text": [
+ "Vader turns round and round in circles as his ship spins into space.",
+ "The wingman spots the pirateship coming at him and warns the Dark Lord",
+ ],
+ },
+ 3,
+ ),
+ ("non existing text", 0, 100, {"__hf_index_id": [], "text": []}, 0),
+ (";DROP TABLE data;", 0, 100, {"__hf_index_id": [], "text": []}, 0),
+ ("some text'); DROP TABLE data; --", 0, 100, {"__hf_index_id": [], "text": []}, 0),
+ ],
+)
+def test_full_text_search(
+ query: str, offset: int, length: int, expected_result: Any, expected_num_total_rows: int
+) -> None:
+ # simulate index file
+ index_file_location = "index.duckdb"
+ con = duckdb.connect(index_file_location)
+ con.execute("INSTALL 'httpfs';")
+ con.execute("LOAD 'httpfs';")
+ con.execute("INSTALL 'fts';")
+ con.execute("LOAD 'fts';")
+ con.sql("CREATE OR REPLACE SEQUENCE serial START 0 MINVALUE 0;")
+ sample_df = pd.DataFrame(
+ {
+ "text": [
+ "Grand Moff Tarkin and Lord Vader are interrupted in their discussion by the buzz of the comlink",
+ "There goes another one.",
+ "Vader turns round and round in circles as his ship spins into space.",
+ "We count thirty Rebel ships.",
+ "The wingman spots the pirateship coming at him and warns the Dark Lord",
+ ]
+ },
+ dtype=pd.StringDtype(storage="python"),
+ )
+ create_command_sql = "CREATE OR REPLACE TABLE data AS SELECT nextval('serial') AS __hf_index_id, * FROM sample_df"
+ con.sql(create_command_sql)
+ con.execute(query="SELECT COUNT(*) FROM data;").fetchall()
+ assert sample_df.size == con.execute(query="SELECT COUNT(*) FROM data;").fetchall()[0][0]
+ con.sql("PRAGMA create_fts_index('data', '__hf_index_id', '*', overwrite=1);")
+ con.close()
+
+ # assert search results
+ (num_total_rows, pa_table) = full_text_search(index_file_location, query, offset, length)
+ assert num_total_rows is not None
+ assert pa_table is not None
+ assert num_total_rows == expected_num_total_rows
+
+ fields = [pa.field("__hf_index_id", pa.int64()), pa.field("text", pa.string())]
+ filtered_df = pd.DataFrame(expected_result)
+ expected_table = pa.Table.from_pandas(filtered_df, schema=pa.schema(fields), preserve_index=False)
+ assert pa_table == expected_table
+
+ # ensure that database has not been modified
+ con = duckdb.connect(index_file_location)
+ assert sample_df.size == con.execute(query="SELECT COUNT(*) FROM data;").fetchall()[0][0]
+ con.close()
+
+ os.remove(index_file_location)
diff --git a/services/search/tests/test_app.py b/services/search/tests/test_app.py
new file mode 100644
index 00000000..6981722e
--- /dev/null
+++ b/services/search/tests/test_app.py
@@ -0,0 +1,98 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from typing import Optional
+
+import pytest
+from starlette.testclient import TestClient
+
+from search.app import create_app_with_config
+from search.config import AppConfig
+
+
[email protected](scope="module")
+def client(monkeypatch_session: pytest.MonkeyPatch, app_config: AppConfig) -> TestClient:
+ return TestClient(create_app_with_config(app_config=app_config))
+
+
+def test_cors(client: TestClient) -> None:
+ origin = "http://localhost:3000"
+ method = "GET"
+ header = "X-Requested-With"
+ response = client.options(
+ "/search?dataset=dataset1&config=config1&split=train&query=query1",
+ headers={
+ "Origin": origin,
+ "Access-Control-Request-Method": method,
+ "Access-Control-Request-Headers": header,
+ },
+ )
+ assert response.status_code == 200
+ assert (
+ origin in [o.strip() for o in response.headers["Access-Control-Allow-Origin"].split(",")]
+ or response.headers["Access-Control-Allow-Origin"] == "*"
+ )
+ assert (
+ header in [o.strip() for o in response.headers["Access-Control-Allow-Headers"].split(",")]
+ or response.headers["Access-Control-Expose-Headers"] == "*"
+ )
+ assert (
+ method in [o.strip() for o in response.headers["Access-Control-Allow-Methods"].split(",")]
+ or response.headers["Access-Control-Expose-Headers"] == "*"
+ )
+ assert response.headers["Access-Control-Allow-Credentials"] == "true"
+
+
+def test_get_healthcheck(client: TestClient) -> None:
+ response = client.get("/healthcheck")
+ assert response.status_code == 200
+ assert response.text == "ok"
+
+
+def test_get_search(client: TestClient) -> None:
+ # missing parameter
+ response = client.get("/search")
+ assert response.status_code == 422
+
+
[email protected](
+ "dataset,config,split,query",
+ [
+ (None, None, None, None),
+ ("a", None, None, None),
+ ("a", "b", None, None),
+ ("a", "b", "c", None),
+ ("a", "b", "c", ""),
+ ],
+)
+def test_get_split_missing_parameter(
+ client: TestClient,
+ dataset: Optional[str],
+ config: Optional[str],
+ split: Optional[str],
+ query: Optional[str],
+) -> None:
+ response = client.get("/search", params={"dataset": dataset, "config": config, "split": split, "query": query})
+ assert response.status_code == 422
+
+
+def test_metrics(client: TestClient) -> None:
+ response = client.get("/healthcheck")
+ response = client.get("/metrics")
+ assert response.status_code == 200
+ text = response.text
+ lines = text.split("\n")
+ # examples:
+ # starlette_requests_total{method="GET",path_template="/metrics"} 1.0
+ # method_steps_processing_time_seconds_sum{method="healthcheck_endpoint",step="all"} 1.6772013623267412e-05
+ metrics = {
+ parts[0]: float(parts[1]) for line in lines if line and line[0] != "#" and (parts := line.rsplit(" ", 1))
+ }
+
+ # the metrics should contain at least the following
+ for name in [
+ 'starlette_requests_total{method="GET",path_template="/metrics"}',
+ 'method_steps_processing_time_seconds_sum{context="None",method="healthcheck_endpoint",step="all"}',
+ ]:
+ assert name in metrics, metrics
+ assert metrics[name] > 0, metrics
diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py
index bfb0d108..9ee8f203 100644
--- a/services/worker/src/worker/dtos.py
+++ b/services/worker/src/worker/dtos.py
@@ -7 +7 @@ from typing import Any, Dict, List, Mapping, Optional, TypedDict
-from libcommon.utils import FeatureItem, RowItem, SplitHubFile
+from libcommon.utils import FeatureItem, Row, RowItem, SplitHubFile
@@ -91,3 +90,0 @@ class ImageUrlColumnsResponse(TypedDict):
-Row = Mapping[str, Any]
-
-
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
index 1fd5f9a3..03509c67 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
@@ -21 +21 @@ from libcommon.storage import StrPath
-from libcommon.utils import JobInfo, RowItem
+from libcommon.utils import JobInfo, Row, RowItem
@@ -25 +25 @@ from worker.config import AppConfig, FirstRowsConfig
-from worker.dtos import CompleteJobResult, JobRunnerInfo, Row, SplitFirstRowsResponse
+from worker.dtos import CompleteJobResult, JobRunnerInfo, SplitFirstRowsResponse
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
index 79c1068e..7954cd3e 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
@@ -29 +29 @@ from libcommon.storage import StrPath
-from libcommon.utils import JobInfo
+from libcommon.utils import JobInfo, Row
@@ -33 +33 @@ from worker.config import AppConfig, FirstRowsConfig
-from worker.dtos import CompleteJobResult, JobRunnerInfo, Row, SplitFirstRowsResponse
+from worker.dtos import CompleteJobResult, JobRunnerInfo, SplitFirstRowsResponse
diff --git a/tools/docker-compose-datasets-server.yml b/tools/docker-compose-datasets-server.yml
index faf65c3d..e0fffcf6 100644
--- a/tools/docker-compose-datasets-server.yml
+++ b/tools/docker-compose-datasets-server.yml
@@ -20,0 +21 @@ services:
+ URL_SEARCH: http://search:${SEARCH_UVICORN_PORT-8083}
@@ -24,0 +26 @@ services:
+ - search
@@ -115,0 +118,37 @@ services:
+ search:
+ build:
+ context: ..
+ dockerfile: services/search/Dockerfile
+ extends:
+ file: docker-compose-base.yml
+ service: api
+ volumes:
+ - cached-assets:${CACHED_ASSETS_STORAGE_DIRECTORY-/cached-assets}
+ - duckdb-index:${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ environment:
+ CACHED_ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/cached-assets" # hard-coded to work with the reverse-proxy
+ CACHED_ASSETS_STORAGE_DIRECTORY: ${CACHED_ASSETS_STORAGE_DIRECTORY-/cached-assets}
+ CACHED_ASSETS_CLEAN_CACHE_PROBA: ${CACHED_ASSETS_CLEAN_CACHE_PROBA-0.05}
+ CACHED_ASSETS_KEEP_FIRST_ROWS_NUMBER: ${CACHED_ASSETS_KEEP_FIRST_ROWS_NUMBER-100}
+ CACHED_ASSETS_KEEP_MOST_RECENT_ROWS_NUMBER: ${CACHED_ASSETS_KEEP_MOST_RECENT_ROWS_NUMBER-200}
+ CACHED_ASSETS_MAX_CLEANED_ROWS_NUMBER: ${CACHED_ASSETS_MAX_CLEANED_ROWS_NUMBER-10000}
+ DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ # service
+ API_HF_AUTH_PATH: ${API_HF_AUTH_PATH-/api/datasets/%s/auth-check}
+ API_HF_JWT_PUBLIC_KEY_URL: ${API_HF_JWT_PUBLIC_KEY_URL-https://huggingface.co/api/keys/jwt}
+ API_HF_JWT_ALGORITHM: ${API_HF_JWT_ALGORITHM-EdDSA}
+ API_HF_TIMEOUT_SECONDS: ${API_HF_TIMEOUT_SECONDS-0.2}
+ API_MAX_AGE_LONG: ${API_MAX_AGE_LONG-120}
+ API_MAX_AGE_SHORT: ${API_MAX_AGE_SHORT-10}
+ # prometheus
+ PROMETHEUS_MULTIPROC_DIR: ${PROMETHEUS_MULTIPROC_DIR-}
+ # uvicorn
+ API_UVICORN_HOSTNAME: 0.0.0.0 # required for docker compose
+ API_UVICORN_NUM_WORKERS: ${SEARCH_UVICORN_NUM_WORKERS-2}
+ API_UVICORN_PORT: ${SEARCH_UVICORN_PORT-8083}
+ ports:
+ # for debug
+ - ${SEARCH_UVICORN_PORT-8083}:${SEARCH_UVICORN_PORT-8083}
+ depends_on:
+ - mongodb
+ restart: unless-stopped
diff --git a/tools/docker-compose-dev-base.yml b/tools/docker-compose-dev-base.yml
index 96319ed2..014f09ee 100644
--- a/tools/docker-compose-dev-base.yml
+++ b/tools/docker-compose-dev-base.yml
@@ -57,0 +58,8 @@ services:
+ search:
+ extends:
+ service: common
+ environment:
+ # volumes to local source directory for development
+ volumes:
+ - ../libs/libapi/src:/src/libs/libapi/src
+ - ../services/search/src:/src/services/search/src
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index e0c24871..222d4756 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -20,0 +21 @@ services:
+ URL_SEARCH: http://host.docker.internal:${SEARCH_UVICORN_PORT-8083}
@@ -26,0 +28 @@ services:
+ - search
@@ -118,0 +121,38 @@ services:
+ search:
+ build:
+ context: ..
+ dockerfile: services/search/dev.Dockerfile
+ extends:
+ file: docker-compose-dev-base.yml
+ service: search
+ volumes:
+ - cached-assets:${CACHED_ASSETS_STORAGE_DIRECTORY-/cached-assets}
+ - duckdb-index:${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ environment:
+ CACHED_ASSETS_BASE_URL: "http://localhost:${PORT_REVERSE_PROXY-8000}/cached-assets" # hard-coded to work with the reverse-proxy
+ CACHED_ASSETS_STORAGE_DIRECTORY: ${CACHED_ASSETS_STORAGE_DIRECTORY-/cached-assets}
+ CACHED_ASSETS_CLEAN_CACHE_PROBA: ${CACHED_ASSETS_CLEAN_CACHE_PROBA-0.05}
+ CACHED_ASSETS_KEEP_FIRST_ROWS_NUMBER: ${CACHED_ASSETS_KEEP_FIRST_ROWS_NUMBER-100}
+ CACHED_ASSETS_KEEP_MOST_RECENT_ROWS_NUMBER: ${CACHED_ASSETS_KEEP_MOST_RECENT_ROWS_NUMBER-200}
+ CACHED_ASSETS_MAX_CLEANED_ROWS_NUMBER: ${CACHED_ASSETS_MAX_CLEANED_ROWS_NUMBER-10000}
+ DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ # service
+ API_HF_AUTH_PATH: ${API_HF_AUTH_PATH-/api/datasets/%s/auth-check}
+ API_HF_JWT_PUBLIC_KEY_URL: ${API_HF_JWT_PUBLIC_KEY_URL-https://huggingface.co/api/keys/jwt}
+ API_HF_JWT_ALGORITHM: ${API_HF_JWT_ALGORITHM-EdDSA}
+ API_HF_TIMEOUT_SECONDS: ${API_HF_TIMEOUT_SECONDS-0.2}
+ API_MAX_AGE_LONG: ${API_MAX_AGE_LONG-120}
+ API_MAX_AGE_SHORT: ${API_MAX_AGE_SHORT-10}
+ # prometheus
+ PROMETHEUS_MULTIPROC_DIR: ${PROMETHEUS_MULTIPROC_DIR-}
+ # uvicorn
+ API_UVICORN_HOSTNAME: 0.0.0.0 # required for docker compose
+ API_UVICORN_NUM_WORKERS: ${SEARCH_UVICORN_NUM_WORKERS-2}
+ API_UVICORN_PORT: ${SEARCH_UVICORN_PORT-8083}
+ network_mode: ${DEV_NETWORK_MODE}
+ ports:
+ # for debug
+ - ${SEARCH_UVICORN_PORT-8083}:${SEARCH_UVICORN_PORT-8083}
+ depends_on:
+ - mongodb
+ restart: unless-stopped
|
|
05cf0848ffaf9ba112b667e8170531d49c11042f
|
Sylvain Lesage
| 2023-08-02T16:08:25 |
feat: 🎸 optimize the computation of metrics (#1605)
|
diff --git a/libs/libcommon/src/libcommon/simple_cache.py b/libs/libcommon/src/libcommon/simple_cache.py
index a3a2baad..c99e8a00 100644
--- a/libs/libcommon/src/libcommon/simple_cache.py
+++ b/libs/libcommon/src/libcommon/simple_cache.py
@@ -489,0 +490,16 @@ class CountEntry(TypedDict):
+def format_group(group: Dict[str, Any]) -> CountEntry:
+ kind = group["kind"]
+ if not isinstance(kind, str):
+ raise TypeError("kind must be a str")
+ http_status = group["http_status"]
+ if not isinstance(http_status, int):
+ raise TypeError("http_status must be an int")
+ error_code = group["error_code"]
+ if not isinstance(error_code, str) and error_code is not None:
+ raise TypeError("error_code must be a str or None")
+ count = group["count"]
+ if not isinstance(count, int):
+ raise TypeError("count must be an int")
+ return {"kind": kind, "http_status": http_status, "error_code": error_code, "count": count}
+
+
@@ -491,16 +507,20 @@ def get_responses_count_by_kind_status_and_error_code() -> List[CountEntry]:
- # TODO: rework with aggregate
- # see
- # https://stackoverflow.com/questions/47301829/mongodb-distinct-count-for-combination-of-two-fields?noredirect=1&lq=1#comment81555081_47301829
- # and https://docs.mongoengine.org/guide/querying.html#mongodb-aggregation-api
- entries = CachedResponseDocument.objects().only("kind", "http_status", "error_code")
- return [
- {
- "kind": str(kind),
- "http_status": int(http_status),
- "error_code": error_code,
- "count": entries(kind=kind, http_status=http_status, error_code=error_code).count(),
- }
- for kind in sorted(entries.distinct("kind"))
- for http_status in sorted(entries(kind=kind).distinct("http_status"))
- for error_code in entries(kind=kind, http_status=http_status).distinct("error_code")
- ]
+ groups = CachedResponseDocument.objects().aggregate(
+ [
+ {"$sort": {"kind": 1, "http_status": 1, "error_code": 1}},
+ {
+ "$group": {
+ "_id": {"kind": "$kind", "http_status": "$http_status", "error_code": "$error_code"},
+ "count": {"$sum": 1},
+ }
+ },
+ {
+ "$project": {
+ "kind": "$_id.kind",
+ "http_status": "$_id.http_status",
+ "error_code": "$_id.error_code",
+ "count": "$count",
+ }
+ },
+ ]
+ )
+ return [format_group(group) for group in groups]
diff --git a/libs/libcommon/tests/test_simple_cache.py b/libs/libcommon/tests/test_simple_cache.py
index 0a71e793..fe354769 100644
--- a/libs/libcommon/tests/test_simple_cache.py
+++ b/libs/libcommon/tests/test_simple_cache.py
@@ -348,4 +348,4 @@ def test_count_by_status_and_error_code() -> None:
- assert get_responses_count_by_kind_status_and_error_code() == [
- {"kind": "test_kind", "http_status": 200, "error_code": None, "count": 1},
- {"kind": "test_kind2", "http_status": 500, "error_code": "error_code", "count": 1},
- ]
+ metrics = get_responses_count_by_kind_status_and_error_code()
+ assert len(metrics) == 2
+ assert {"kind": "test_kind", "http_status": 200, "error_code": None, "count": 1} in metrics
+ assert {"kind": "test_kind2", "http_status": 500, "error_code": "error_code", "count": 1} in metrics
|
|
906cead2500f10fe5141ce612dadab2992c7ab37
|
Sylvain Lesage
| 2023-08-02T15:09:47 |
refactor: 💡 clean the chart variables (#1601)
|
diff --git a/chart/Chart.yaml b/chart/Chart.yaml
index 41c55baa..fbb83507 100644
--- a/chart/Chart.yaml
+++ b/chart/Chart.yaml
@@ -21 +21 @@ type: application
-version: 1.15.2
+version: 1.15.3
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index fad011bb..c69cb76e 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -85,13 +85,10 @@ persistence:
- existingClaim: "nfs-datasets-server-pvc"
-
-cachePersistence:
- existingClaim: "datasets-server-cache-pvc"
-
-parquetPersistence:
- existingClaim: "datasets-server-parquet-pvc"
-
-duckdbPersistence:
- existingClaim: "datasets-server-duckdb-pvc"
-
-statisticsPersistence:
- existingClaim: "datasets-server-statistics-pvc"
+ descriptiveStatistics:
+ existingClaim: "datasets-server-statistics-pvc"
+ duckDBIndex:
+ existingClaim: "datasets-server-duckdb-pvc"
+ hfDatasetsCache:
+ existingClaim: "datasets-server-cache-pvc"
+ nfs:
+ existingClaim: "nfs-datasets-server-pvc"
+ parquet:
+ existingClaim: "datasets-server-parquet-pvc"
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index 09acc58d..e23d2bcf 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -82,13 +82,10 @@ persistence:
- existingClaim: "nfs-datasets-server-pvc"
-
-cachePersistence:
- existingClaim: "datasets-server-cache-pvc"
-
-parquetPersistence:
- existingClaim: "datasets-server-parquet-pvc"
-
-duckdbPersistence:
- existingClaim: "datasets-server-duckdb-pvc"
-
-statisticsPersistence:
- existingClaim: "datasets-server-statistics-pvc"
+ descriptiveStatistics:
+ existingClaim: "datasets-server-statistics-pvc"
+ duckDBIndex:
+ existingClaim: "datasets-server-duckdb-pvc"
+ hfDatasetsCache:
+ existingClaim: "datasets-server-cache-pvc"
+ nfs:
+ existingClaim: "nfs-datasets-server-pvc"
+ parquet:
+ existingClaim: "datasets-server-parquet-pvc"
diff --git a/chart/templates/_dnsConfig.tpl b/chart/templates/_common/_dnsConfig.tpl
similarity index 100%
rename from chart/templates/_dnsConfig.tpl
rename to chart/templates/_common/_dnsConfig.tpl
diff --git a/chart/templates/_helpers.tpl b/chart/templates/_common/_helpers.tpl
similarity index 98%
rename from chart/templates/_helpers.tpl
rename to chart/templates/_common/_helpers.tpl
index 3149b0a6..6ccf13e9 100644
--- a/chart/templates/_helpers.tpl
+++ b/chart/templates/_common/_helpers.tpl
@@ -204,2 +204,2 @@ The datasets library will use this directory as a cache
-{{- define "cache.subpath" -}}
-{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "cache" }}
+{{- define "hfDatasetsCache.subpath" -}}
+{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "hf-datasets-cache" }}
diff --git a/chart/templates/_securityContext.tpl b/chart/templates/_common/_securityContext.tpl
similarity index 100%
rename from chart/templates/_securityContext.tpl
rename to chart/templates/_common/_securityContext.tpl
diff --git a/chart/templates/_envAssets.tpl b/chart/templates/_env/_envAssets.tpl
similarity index 100%
rename from chart/templates/_envAssets.tpl
rename to chart/templates/_env/_envAssets.tpl
diff --git a/chart/templates/_envCache.tpl b/chart/templates/_env/_envCache.tpl
similarity index 100%
rename from chart/templates/_envCache.tpl
rename to chart/templates/_env/_envCache.tpl
diff --git a/chart/templates/_envCachedAssets.tpl b/chart/templates/_env/_envCachedAssets.tpl
similarity index 100%
rename from chart/templates/_envCachedAssets.tpl
rename to chart/templates/_env/_envCachedAssets.tpl
diff --git a/chart/templates/_envCommon.tpl b/chart/templates/_env/_envCommon.tpl
similarity index 100%
rename from chart/templates/_envCommon.tpl
rename to chart/templates/_env/_envCommon.tpl
diff --git a/chart/templates/_envDatasetsBased.tpl b/chart/templates/_env/_envDatasetsBased.tpl
similarity index 100%
rename from chart/templates/_envDatasetsBased.tpl
rename to chart/templates/_env/_envDatasetsBased.tpl
diff --git a/chart/templates/_envLog.tpl b/chart/templates/_env/_envLog.tpl
similarity index 100%
rename from chart/templates/_envLog.tpl
rename to chart/templates/_env/_envLog.tpl
diff --git a/chart/templates/_envMetrics.tpl b/chart/templates/_env/_envMetrics.tpl
similarity index 100%
rename from chart/templates/_envMetrics.tpl
rename to chart/templates/_env/_envMetrics.tpl
diff --git a/chart/templates/_envNumba.tpl b/chart/templates/_env/_envNumba.tpl
similarity index 100%
rename from chart/templates/_envNumba.tpl
rename to chart/templates/_env/_envNumba.tpl
diff --git a/chart/templates/_envParquetMetadata.tpl b/chart/templates/_env/_envParquetMetadata.tpl
similarity index 100%
rename from chart/templates/_envParquetMetadata.tpl
rename to chart/templates/_env/_envParquetMetadata.tpl
diff --git a/chart/templates/_envQueue.tpl b/chart/templates/_env/_envQueue.tpl
similarity index 100%
rename from chart/templates/_envQueue.tpl
rename to chart/templates/_env/_envQueue.tpl
diff --git a/chart/templates/_envWorker.tpl b/chart/templates/_env/_envWorker.tpl
similarity index 99%
rename from chart/templates/_envWorker.tpl
rename to chart/templates/_env/_envWorker.tpl
index 559f6db2..1a3a08c6 100644
--- a/chart/templates/_envWorker.tpl
+++ b/chart/templates/_env/_envWorker.tpl
@@ -95 +94,0 @@
-
diff --git a/chart/templates/_initContainerAssets.tpl b/chart/templates/_initContainers/_initContainerAssets.tpl
similarity index 96%
rename from chart/templates/_initContainerAssets.tpl
rename to chart/templates/_initContainers/_initContainerAssets.tpl
index 6b57aedc..b089d860 100644
--- a/chart/templates/_initContainerAssets.tpl
+++ b/chart/templates/_initContainers/_initContainerAssets.tpl
@@ -14 +14 @@
- name: data
+ name: volume-nfs
diff --git a/chart/templates/_initContainerCachedAssets.tpl b/chart/templates/_initContainers/_initContainerCachedAssets.tpl
similarity index 96%
rename from chart/templates/_initContainerCachedAssets.tpl
rename to chart/templates/_initContainers/_initContainerCachedAssets.tpl
index d4a603b2..13d9d753 100644
--- a/chart/templates/_initContainerCachedAssets.tpl
+++ b/chart/templates/_initContainers/_initContainerCachedAssets.tpl
@@ -14 +14 @@
- name: data
+ name: volume-nfs
diff --git a/chart/templates/_initContainerDescriptiveStatistics.tpl b/chart/templates/_initContainers/_initContainerDescriptiveStatistics.tpl
similarity index 87%
rename from chart/templates/_initContainerDescriptiveStatistics.tpl
rename to chart/templates/_initContainers/_initContainerDescriptiveStatistics.tpl
index 2664075c..b22f6ccd 100644
--- a/chart/templates/_initContainerDescriptiveStatistics.tpl
+++ b/chart/templates/_initContainers/_initContainerDescriptiveStatistics.tpl
@@ -5 +5 @@
-- name: compute-descriptive-statistics
+- name: prepare-descriptive-statistics
@@ -14 +14 @@
- name: statistics-data
+ name: volume-descriptive-statistics
diff --git a/chart/templates/_initContainerDuckDBIndex.tpl b/chart/templates/_initContainers/_initContainerDuckDBIndex.tpl
similarity index 94%
rename from chart/templates/_initContainerDuckDBIndex.tpl
rename to chart/templates/_initContainers/_initContainerDuckDBIndex.tpl
index 59cbf584..3dc2297c 100644
--- a/chart/templates/_initContainerDuckDBIndex.tpl
+++ b/chart/templates/_initContainers/_initContainerDuckDBIndex.tpl
@@ -14 +14 @@
- name: duckdb-data
+ name: volume-duckdb-index
diff --git a/chart/templates/_initContainerCache.tpl b/chart/templates/_initContainers/_initContainerHfDatasetsCache.tpl
similarity index 71%
rename from chart/templates/_initContainerCache.tpl
rename to chart/templates/_initContainers/_initContainerHfDatasetsCache.tpl
index 22a2dc72..3339eb5e 100644
--- a/chart/templates/_initContainerCache.tpl
+++ b/chart/templates/_initContainers/_initContainerHfDatasetsCache.tpl
@@ -4,2 +4,2 @@
-{{- define "initContainerCache" -}}
-- name: prepare-cache
+{{- define "initContainerHfDatasetsCache" -}}
+- name: prepare-hf-datasets-cache
@@ -14,2 +14,2 @@
- name: cache-data
- subPath: "{{ include "cache.subpath" . }}"
+ name: volume-hf-datasets-cache
+ subPath: "{{ include "hfDatasetsCache.subpath" . }}"
diff --git a/chart/templates/_initContainerParquetMetadata.tpl b/chart/templates/_initContainers/_initContainerParquetMetadata.tpl
similarity index 96%
rename from chart/templates/_initContainerParquetMetadata.tpl
rename to chart/templates/_initContainers/_initContainerParquetMetadata.tpl
index fb7fa696..2473cff7 100644
--- a/chart/templates/_initContainerParquetMetadata.tpl
+++ b/chart/templates/_initContainers/_initContainerParquetMetadata.tpl
@@ -14 +14 @@
- name: data
+ name: volume-nfs
diff --git a/chart/templates/_volumeCache.tpl b/chart/templates/_volumeCache.tpl
deleted file mode 100644
index 871cd087..00000000
--- a/chart/templates/_volumeCache.tpl
+++ /dev/null
@@ -1,8 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright 2022 The HuggingFace Authors.
-
-{{- define "volumeCache" -}}
-- name: cache-data
- persistentVolumeClaim:
- claimName: {{ .Values.cachePersistence.existingClaim | default (include "name" .) }}
-{{- end -}}
diff --git a/chart/templates/_volumeData.tpl b/chart/templates/_volumeData.tpl
deleted file mode 100644
index 34e22ae8..00000000
--- a/chart/templates/_volumeData.tpl
+++ /dev/null
@@ -1,8 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright 2022 The HuggingFace Authors.
-
-{{- define "volumeData" -}}
-- name: data
- persistentVolumeClaim:
- claimName: {{ .Values.persistence.existingClaim | default (include "name" .) }}
-{{- end -}}
diff --git a/chart/templates/_volumeDuckDB.tpl b/chart/templates/_volumeDuckDB.tpl
deleted file mode 100644
index 4beb9367..00000000
--- a/chart/templates/_volumeDuckDB.tpl
+++ /dev/null
@@ -1,8 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright 2022 The HuggingFace Authors.
-
-{{- define "volumeDuckDB" -}}
-- name: duckdb-data
- persistentVolumeClaim:
- claimName: {{ .Values.duckdbPersistence.existingClaim | default (include "name" .) }}
-{{- end -}}
diff --git a/chart/templates/_volumeMountCache.tpl b/chart/templates/_volumeMountCache.tpl
deleted file mode 100644
index 08541bc6..00000000
--- a/chart/templates/_volumeMountCache.tpl
+++ /dev/null
@@ -1,10 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright 2022 The HuggingFace Authors.
-
-{{- define "volumeMountCache" -}}
-- mountPath: {{ .Values.cacheDirectory | quote }}
- mountPropagation: None
- name: cache-data
- subPath: "{{ include "cache.subpath" . }}"
- readOnly: false
-{{- end -}}
diff --git a/chart/templates/_volumeMountAssets.tpl b/chart/templates/_volumeMounts/_volumeMountAssets.tpl
similarity index 92%
rename from chart/templates/_volumeMountAssets.tpl
rename to chart/templates/_volumeMounts/_volumeMountAssets.tpl
index ab4911bb..0ad6c07b 100644
--- a/chart/templates/_volumeMountAssets.tpl
+++ b/chart/templates/_volumeMounts/_volumeMountAssets.tpl
@@ -7 +7 @@
- name: data
+ name: volume-nfs
@@ -15 +15 @@
- name: data
+ name: volume-nfs
diff --git a/chart/templates/_volumeMountCachedAssets.tpl b/chart/templates/_volumeMounts/_volumeMountCachedAssets.tpl
similarity index 93%
rename from chart/templates/_volumeMountCachedAssets.tpl
rename to chart/templates/_volumeMounts/_volumeMountCachedAssets.tpl
index 7ee8dcf1..c7431945 100644
--- a/chart/templates/_volumeMountCachedAssets.tpl
+++ b/chart/templates/_volumeMounts/_volumeMountCachedAssets.tpl
@@ -7 +7 @@
- name: data
+ name: volume-nfs
@@ -15 +15 @@
- name: data
+ name: volume-nfs
diff --git a/chart/templates/_volumeMountDescriptiveStatistics.tpl b/chart/templates/_volumeMounts/_volumeMountDescriptiveStatistics.tpl
similarity index 89%
rename from chart/templates/_volumeMountDescriptiveStatistics.tpl
rename to chart/templates/_volumeMounts/_volumeMountDescriptiveStatistics.tpl
index bc61c1c8..85b8db07 100644
--- a/chart/templates/_volumeMountDescriptiveStatistics.tpl
+++ b/chart/templates/_volumeMounts/_volumeMountDescriptiveStatistics.tpl
@@ -7 +7 @@
- name: statistics-data
+ name: volume-descriptive-statistics
diff --git a/chart/templates/_volumeMountDuckDBIndex.tpl b/chart/templates/_volumeMounts/_volumeMountDuckDBIndex.tpl
similarity index 91%
rename from chart/templates/_volumeMountDuckDBIndex.tpl
rename to chart/templates/_volumeMounts/_volumeMountDuckDBIndex.tpl
index e4f9f9c7..38743458 100644
--- a/chart/templates/_volumeMountDuckDBIndex.tpl
+++ b/chart/templates/_volumeMounts/_volumeMountDuckDBIndex.tpl
@@ -7 +7 @@
- name: duckdb-data
+ name: volume-duckdb-index
diff --git a/chart/templates/_volumeMounts/_volumeMountHfDatasetsCache.tpl b/chart/templates/_volumeMounts/_volumeMountHfDatasetsCache.tpl
new file mode 100644
index 00000000..cd5ccda0
--- /dev/null
+++ b/chart/templates/_volumeMounts/_volumeMountHfDatasetsCache.tpl
@@ -0,0 +1,10 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeMountHfDatasetsCacheRW" -}}
+- mountPath: {{ .Values.hfDatasetsCache.cacheDirectory | quote }}
+ mountPropagation: None
+ name: volume-hf-datasets-cache
+ subPath: "{{ include "hfDatasetsCache.subpath" . }}"
+ readOnly: false
+{{- end -}}
diff --git a/chart/templates/_volumeMountParquetMetadata.tpl b/chart/templates/_volumeMounts/_volumeMountParquetMetadata.tpl
similarity index 93%
rename from chart/templates/_volumeMountParquetMetadata.tpl
rename to chart/templates/_volumeMounts/_volumeMountParquetMetadata.tpl
index 9c3fc40e..1f0b92e1 100644
--- a/chart/templates/_volumeMountParquetMetadata.tpl
+++ b/chart/templates/_volumeMounts/_volumeMountParquetMetadata.tpl
@@ -7 +7 @@
- name: data
+ name: volume-nfs
@@ -15 +15 @@
- name: data
+ name: volume-nfs
diff --git a/chart/templates/_volumeStatistics.tpl b/chart/templates/_volumeStatistics.tpl
deleted file mode 100644
index dd215b31..00000000
--- a/chart/templates/_volumeStatistics.tpl
+++ /dev/null
@@ -1,8 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright 2023 The HuggingFace Authors.
-
-{{- define "volumeStatistics" -}}
-- name: statistics-data
- persistentVolumeClaim:
- claimName: {{ .Values.statisticsPersistence.existingClaim | default (include "name" .) }}
-{{- end -}}
\ No newline at end of file
diff --git a/chart/templates/_volumes/_volumeDescriptiveStatistics.tpl b/chart/templates/_volumes/_volumeDescriptiveStatistics.tpl
new file mode 100644
index 00000000..6a36aa05
--- /dev/null
+++ b/chart/templates/_volumes/_volumeDescriptiveStatistics.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "volumeDescriptiveStatistics" -}}
+- name: volume-descriptive-statistics
+ persistentVolumeClaim:
+ claimName: {{ .Values.persistence.descriptiveStatistics.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/_volumes/_volumeDuckDBIndex.tpl b/chart/templates/_volumes/_volumeDuckDBIndex.tpl
new file mode 100644
index 00000000..8e8415fc
--- /dev/null
+++ b/chart/templates/_volumes/_volumeDuckDBIndex.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeDuckDBIndex" -}}
+- name: volume-duckdb-index
+ persistentVolumeClaim:
+ claimName: {{ .Values.persistence.duckDBIndex.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/_volumes/_volumeHfDatasetsCache.tpl b/chart/templates/_volumes/_volumeHfDatasetsCache.tpl
new file mode 100644
index 00000000..d4001db9
--- /dev/null
+++ b/chart/templates/_volumes/_volumeHfDatasetsCache.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeHfDatasetsCache" -}}
+- name: volume-hf-datasets-cache
+ persistentVolumeClaim:
+ claimName: {{ .Values.persistence.hfDatasetsCache.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/_volumes/_volumeNfs.tpl b/chart/templates/_volumes/_volumeNfs.tpl
new file mode 100644
index 00000000..aab41e6c
--- /dev/null
+++ b/chart/templates/_volumes/_volumeNfs.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeNfs" -}}
+- name: volume-nfs
+ persistentVolumeClaim:
+ claimName: {{ .Values.persistence.nfs.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/pvc.yaml b/chart/templates/pvc.yaml
index a4302245..6525c2e0 100644
--- a/chart/templates/pvc.yaml
+++ b/chart/templates/pvc.yaml
@@ -1 +1 @@
-{{- if (not .Values.persistence.existingClaim) }}
+{{- if (not .Values.persistence.nfs.existingClaim) }}
@@ -13,3 +13,3 @@ spec:
- storage: {{ .Values.persistence.size }}
- {{ if ne "" .Values.persistence.storageClass }}
- storageClassName: {{ .Values.persistence.storageClass }}
+ storage: {{ .Values.persistence.nfs.size }}
+ {{ if ne "" .Values.persistence.nfs.storageClass }}
+ storageClassName: {{ .Values.persistence.nfs.storageClass }}
diff --git a/chart/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml
index b20f26e0..dd904666 100644
--- a/chart/templates/reverse-proxy/deployment.yaml
+++ b/chart/templates/reverse-proxy/deployment.yaml
@@ -36 +36 @@ spec:
- {{ include "volumeData" . | nindent 6 }}
+ {{ include "volumeNfs" . | nindent 6 }}
diff --git a/chart/templates/services/admin/_container.tpl b/chart/templates/services/admin/_container.tpl
index f6e3ea1f..e23a6d44 100644
--- a/chart/templates/services/admin/_container.tpl
+++ b/chart/templates/services/admin/_container.tpl
@@ -10 +9,0 @@
- {{ include "envCachedAssets" . | nindent 2 }}
@@ -41 +39,0 @@
- {{ include "volumeMountCachedAssetsRO" . | nindent 2 }}
diff --git a/chart/templates/services/admin/deployment.yaml b/chart/templates/services/admin/deployment.yaml
index 0956f452..0ce17115 100644
--- a/chart/templates/services/admin/deployment.yaml
+++ b/chart/templates/services/admin/deployment.yaml
@@ -29 +28,0 @@ spec:
- {{ include "initContainerCachedAssets" . | nindent 8 }}
@@ -33 +32 @@ spec:
- volumes: {{ include "volumeData" . | nindent 8 }}
+ volumes: {{ include "volumeNfs" . | nindent 8 }}
diff --git a/chart/templates/services/api/deployment.yaml b/chart/templates/services/api/deployment.yaml
index fada7a93..65a62975 100644
--- a/chart/templates/services/api/deployment.yaml
+++ b/chart/templates/services/api/deployment.yaml
@@ -30 +29,0 @@ spec:
- volumes: {{ include "volumeData" . | nindent 8 }}
diff --git a/chart/templates/services/rows/deployment.yaml b/chart/templates/services/rows/deployment.yaml
index b04eee90..65ac6c48 100644
--- a/chart/templates/services/rows/deployment.yaml
+++ b/chart/templates/services/rows/deployment.yaml
@@ -34 +34 @@ spec:
- {{ include "volumeData" . | nindent 8 }}
+ {{ include "volumeNfs" . | nindent 8 }}
diff --git a/chart/templates/storage-admin/_container.tpl b/chart/templates/storage-admin/_container.tpl
index 83b1dce2..a580cb73 100644
--- a/chart/templates/storage-admin/_container.tpl
+++ b/chart/templates/storage-admin/_container.tpl
@@ -10 +10 @@
- {{ include "volumeMountCache" . | nindent 2 }}
+ {{ include "volumeMountHfDatasetsCacheRW" . | nindent 2 }}
@@ -13,0 +14,16 @@
+ - mountPath: /volumes/descriptive-statistics
+ mountPropagation: None
+ name: volume-descriptive-statistics
+ readOnly: false
+ - mountPath: /volumes/duckdb-index
+ mountPropagation: None
+ name: volume-duckdb-index
+ readOnly: false
+ - mountPath: /volumes/hf-datasets-cache
+ mountPropagation: None
+ name: volume-hf-datasets-cache
+ readOnly: false
+ - mountPath: /volumes/nfs
+ mountPropagation: None
+ name: volume-nfs
+ readOnly: false
diff --git a/chart/templates/storage-admin/deployment.yaml b/chart/templates/storage-admin/deployment.yaml
index 21c53c18..3fcfac7d 100644
--- a/chart/templates/storage-admin/deployment.yaml
+++ b/chart/templates/storage-admin/deployment.yaml
@@ -22 +22 @@ spec:
- {{ include "initContainerCache" . | nindent 8 }}
+ {{ include "initContainerHfDatasetsCache" . | nindent 8 }}
@@ -30,4 +30,4 @@ spec:
- {{ include "volumeCache" . | nindent 8 }}
- {{ include "volumeData" . | nindent 8 }}
- {{ include "volumeDuckDB" . | nindent 8 }}
- {{ include "volumeStatistics" . | nindent 8 }}
+ {{ include "volumeHfDatasetsCache" . | nindent 8 }}
+ {{ include "volumeNfs" . | nindent 8 }}
+ {{ include "volumeDuckDBIndex" . | nindent 8 }}
+ {{ include "volumeDescriptiveStatistics" . | nindent 8 }}
diff --git a/chart/templates/worker/_container.tpl b/chart/templates/worker/_container.tpl
index b78c641c..93c31fa5 100644
--- a/chart/templates/worker/_container.tpl
+++ b/chart/templates/worker/_container.tpl
@@ -11,2 +10,0 @@
- {{ include "envParquetMetadata" . | nindent 2 }}
- {{ include "envQueue" . | nindent 2 }}
@@ -14,2 +11,0 @@
- {{ include "envLog" . | nindent 2 }}
- {{ include "envWorker" . | nindent 2 }}
@@ -16,0 +13 @@
+ {{ include "envLog" . | nindent 2 }}
@@ -17,0 +15,3 @@
+ {{ include "envParquetMetadata" . | nindent 2 }}
+ {{ include "envQueue" . | nindent 2 }}
+ {{ include "envWorker" . | nindent 2 }}
@@ -19 +19 @@
- value: {{ printf "%s/%s/datasets" .Values.cacheDirectory .workerValues.deployName | quote }}
+ value: {{ printf "%s/%s/datasets" .Values.hfDatasetsCache.cacheDirectory .workerValues.deployName | quote }}
@@ -30,3 +29,0 @@
- {{ include "volumeMountCache" . | nindent 2 }}
- {{ include "volumeMountParquetMetadataRW" . | nindent 2 }}
- {{ include "volumeMountDuckDBIndexRW" . | nindent 2 }}
@@ -33,0 +31,3 @@
+ {{ include "volumeMountDuckDBIndexRW" . | nindent 2 }}
+ {{ include "volumeMountHfDatasetsCacheRW" . | nindent 2 }}
+ {{ include "volumeMountParquetMetadataRW" . | nindent 2 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index 23187dd5..e51a9852 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -28,3 +27,0 @@ spec:
- {{ include "initContainerCache" . | nindent 8 }}
- {{ include "initContainerParquetMetadata" . | nindent 8 }}
- {{ include "initContainerDuckDBIndex" . | nindent 8 }}
@@ -31,0 +29,3 @@ spec:
+ {{ include "initContainerDuckDBIndex" . | nindent 8 }}
+ {{ include "initContainerHfDatasetsCache" . | nindent 8 }}
+ {{ include "initContainerParquetMetadata" . | nindent 8 }}
@@ -36,4 +36,4 @@ spec:
- {{ include "volumeCache" . | nindent 8 }}
- {{ include "volumeData" . | nindent 8 }}
- {{ include "volumeDuckDB" . | nindent 8 }}
- {{ include "volumeStatistics" . | nindent 8 }}
+ {{ include "volumeDescriptiveStatistics" . | nindent 8 }}
+ {{ include "volumeDuckDBIndex" . | nindent 8 }}
+ {{ include "volumeHfDatasetsCache" . | nindent 8 }}
+ {{ include "volumeNfs" . | nindent 8 }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 518ac37f..3c074a0f 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -104,15 +104,12 @@ persistence:
- existingClaim: ""
- storageClass: ""
- size: 20Gi
-
-cachePersistence:
- existingClaim: ""
-
-parquetPersistence:
- existingClaim: ""
-
-duckdbPersistence:
- existingClaim: ""
-
-statisticsPersistence:
- existingClaim: ""
+ descriptiveStatistics:
+ existingClaim: ""
+ duckDBIndex:
+ existingClaim: ""
+ hfDatasetsCache:
+ existingClaim: ""
+ nfs:
+ existingClaim: ""
+ storageClass: ""
+ size: 20Gi
+ parquet:
+ existingClaim: ""
@@ -222 +219 @@ assets:
- storageDirectory: "/assets"
+ storageDirectory: "/storage/assets"
@@ -228 +225 @@ cachedAssets:
- storageDirectory: "/cached-assets"
+ storageDirectory: "/storage/cached-assets"
@@ -241 +238 @@ parquetMetadata:
- storageDirectory: "/parquet-metadata"
+ storageDirectory: "/storage/parquet-metadata"
@@ -245 +242 @@ duckDBIndex:
- cacheDirectory: "/duckdb-index"
+ cacheDirectory: "/storage/duckdb-index"
@@ -257 +254 @@ descriptiveStatistics:
- cacheDirectory: "/stats-cache"
+ cacheDirectory: "/storage/stats-cache"
@@ -263,2 +260,3 @@ descriptiveStatistics:
-# Directory where the cache data will be stored
-cacheDirectory: "/datasets-server-cache"
+hfDatasetsCache:
+ # Directory where the HF datasets cache data will be stored
+ cacheDirectory: "/storage/hf-datasets-cache"
diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py
index 65cb0ac8..b38defd0 100644
--- a/services/api/src/api/config.py
+++ b/services/api/src/api/config.py
@@ -10 +9,0 @@ from libcommon.config import (
- CachedAssetsConfig,
@@ -22 +20,0 @@ class AppConfig:
- cached_assets: CachedAssetsConfig = field(default_factory=CachedAssetsConfig)
@@ -34 +31,0 @@ class AppConfig:
- cached_assets=CachedAssetsConfig.from_env(),
diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py
index 8a66ca24..9270a750 100644
--- a/services/api/tests/conftest.py
+++ b/services/api/tests/conftest.py
@@ -11 +10,0 @@ from libcommon.simple_cache import _clean_cache_database
-from libcommon.storage import StrPath, init_cached_assets_dir
@@ -127,5 +125,0 @@ def hf_auth_path(app_config: AppConfig) -> str:
-
-
-@fixture
-def cached_assets_directory(app_config: AppConfig) -> StrPath:
- return init_cached_assets_dir(app_config.cached_assets.storage_directory)
|
|
deb708ae737a2f8da51b74c1ca4a489c4ff39b51
|
Sylvain Lesage
| 2023-08-02T14:16:23 |
fix: 🐛 fix vulnerability in cryptography (#1603)
|
diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock
index e8440393..e9f5f658 100644
--- a/libs/libapi/poetry.lock
+++ b/libs/libapi/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
@@ -561 +561 @@ name = "cryptography"
-version = "41.0.2"
+version = "41.0.3"
@@ -567,23 +567,23 @@ files = [
- {file = "cryptography-41.0.2-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:01f1d9e537f9a15b037d5d9ee442b8c22e3ae11ce65ea1f3316a41c78756b711"},
- {file = "cryptography-41.0.2-cp37-abi3-macosx_10_12_x86_64.whl", hash = "sha256:079347de771f9282fbfe0e0236c716686950c19dee1b76240ab09ce1624d76d7"},
- {file = "cryptography-41.0.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:439c3cc4c0d42fa999b83ded80a9a1fb54d53c58d6e59234cfe97f241e6c781d"},
- {file = "cryptography-41.0.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f14ad275364c8b4e525d018f6716537ae7b6d369c094805cae45300847e0894f"},
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- {file = "cryptography-41.0.2-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:2a034bf7d9ca894720f2ec1d8b7b5832d7e363571828037f9e0c4f18c1b58a58"},
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+ {file = "cryptography-41.0.3-pp38-pypy38_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:23c2d778cf829f7d0ae180600b17e9fceea3c2ef8b31a99e3c694cbbf3a24b84"},
+ {file = "cryptography-41.0.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:95dd7f261bb76948b52a5330ba5202b91a26fbac13ad0e9fc8a3ac04752058c7"},
+ {file = "cryptography-41.0.3-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:41d7aa7cdfded09b3d73a47f429c298e80796c8e825ddfadc84c8a7f12df212d"},
+ {file = "cryptography-41.0.3-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d0d651aa754ef58d75cec6edfbd21259d93810b73f6ec246436a21b7841908de"},
+ {file = "cryptography-41.0.3-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ab8de0d091acbf778f74286f4989cf3d1528336af1b59f3e5d2ebca8b5fe49e1"},
+ {file = "cryptography-41.0.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a74fbcdb2a0d46fe00504f571a2a540532f4c188e6ccf26f1f178480117b33c4"},
+ {file = "cryptography-41.0.3.tar.gz", hash = "sha256:6d192741113ef5e30d89dcb5b956ef4e1578f304708701b8b73d38e3e1461f34"},
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock
index a1104a04..92a583b1 100644
--- a/services/worker/poetry.lock
+++ b/services/worker/poetry.lock
@@ -2923,0 +2924 @@ files = [
+ {file = "pdf2image-1.16.3.tar.gz", hash = "sha256:74208810c2cef4d9e347769b8e62a52303982ddb4f2dfd744c7ab4b940ae287e"},
@@ -4434,0 +4436 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
@@ -4914,0 +4917 @@ url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp39-none-macosx_11_0_a
+
@@ -4934,0 +4938 @@ url = "https://download.pytorch.org/whl/torch-1.13.1-cp39-cp39-manylinux2014_aar
+
|
|
83d99c509fa124b95247597ceb7e8cc129bc6b56
|
Sylvain Lesage
| 2023-08-01T21:43:52 |
feat: 🎸 increment the chart version (#1600)
|
diff --git a/chart/Chart.yaml b/chart/Chart.yaml
index 7dd7166c..41c55baa 100644
--- a/chart/Chart.yaml
+++ b/chart/Chart.yaml
@@ -21 +21 @@ type: application
-version: 1.15.1
+version: 1.15.2
|
|
899da2bd66fbf0cd0a6231d7205e33586dec7486
|
Sylvain Lesage
| 2023-08-01T21:41:28 |
fix: 🐛 fix statistics volume (#1599)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 3eb295f0..fad011bb 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -321 +321 @@ workers:
- replicas: 24
+ replicas: 40
@@ -338 +338 @@ workers:
- replicas: 8
+ replicas: 15
diff --git a/chart/templates/_volumeMountDescriptiveStatistics.tpl b/chart/templates/_volumeMountDescriptiveStatistics.tpl
index 699416ef..bc61c1c8 100644
--- a/chart/templates/_volumeMountDescriptiveStatistics.tpl
+++ b/chart/templates/_volumeMountDescriptiveStatistics.tpl
@@ -7 +7 @@
- name: data
+ name: statistics-data
|
|
20df31b0655903ae1a798205c09b37b686b9d329
|
Sylvain Lesage
| 2023-08-01T21:12:32 |
feat: 🎸 give more RAM to backfill script (#1598)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 2b9da5ca..3eb295f0 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -171 +171 @@ backfill:
- schedule: "0 * * * *"
+ schedule: "20 21 * * *"
@@ -176,0 +177 @@ backfill:
+ memory: "4Gi"
@@ -178,2 +179,2 @@ backfill:
- cpu: 1
- memory: "512Mi"
+ cpu: 2
+ memory: "8Gi"
|
|
a60a7f120d73df0d677a5a69423eceed3bc43d5d
|
Sylvain Lesage
| 2023-08-01T20:53:03 |
feat: 🎸 fix temporarily the backfill cron (#1597)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 4e5f9049..2b9da5ca 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -171 +171 @@ backfill:
- schedule: "45 * * * *"
+ schedule: "0 * * * *"
|
|
3dc6d32c1fa5b0f2d28697f49dcd2a155c8e71a6
|
Sylvain Lesage
| 2023-08-01T20:41:20 |
Fix backfill job (#1596)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 880af022..4e5f9049 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -171 +171 @@ backfill:
- schedule: "00 */4 * * *"
+ schedule: "45 * * * *"
diff --git a/jobs/cache_maintenance/src/cache_maintenance/backfill.py b/jobs/cache_maintenance/src/cache_maintenance/backfill.py
index a64bbad6..000a5411 100644
--- a/jobs/cache_maintenance/src/cache_maintenance/backfill.py
+++ b/jobs/cache_maintenance/src/cache_maintenance/backfill.py
@@ -47,10 +47,18 @@ def backfill_cache(
- dataset_orchestrator = DatasetOrchestrator(dataset=dataset, processing_graph=processing_graph)
- created_jobs = dataset_orchestrator.backfill(
- revision=str(dataset_info.sha),
- priority=Priority.LOW,
- error_codes_to_retry=error_codes_to_retry,
- cache_max_days=cache_max_days,
- )
- if created_jobs > 0:
- backfilled_datasets += 1
- total_created_jobs += created_jobs
+ try:
+ dataset_orchestrator = DatasetOrchestrator(dataset=dataset, processing_graph=processing_graph)
+ except Exception as e:
+ logging.warning(f"failed to create DatasetOrchestrator for {dataset_info}: {e}")
+ continue
+ try:
+ created_jobs = dataset_orchestrator.backfill(
+ revision=str(dataset_info.sha),
+ priority=Priority.LOW,
+ error_codes_to_retry=error_codes_to_retry,
+ cache_max_days=cache_max_days,
+ )
+ if created_jobs > 0:
+ backfilled_datasets += 1
+ total_created_jobs += created_jobs
+ except Exception as e:
+ logging.warning(f"failed to backfill {dataset_info}: {e}")
+ continue
|
|
89b8ee536542bf588bb4160c2383b63aef1d270d
|
Sylvain Lesage
| 2023-08-01T20:38:48 |
Fix descriptive statistics env var (#1595)
|
diff --git a/chart/Chart.yaml b/chart/Chart.yaml
index b8e32aef..7dd7166c 100644
--- a/chart/Chart.yaml
+++ b/chart/Chart.yaml
@@ -29 +29 @@ version: 1.15.1
-appVersion: "0.21.1"
+appVersion: "0.21.2"
diff --git a/chart/templates/_envWorker.tpl b/chart/templates/_envWorker.tpl
index 54e51c1b..559f6db2 100644
--- a/chart/templates/_envWorker.tpl
+++ b/chart/templates/_envWorker.tpl
@@ -115,2 +115,2 @@
-- name: DUCKDB_INDEX_STORAGE_DIRECTORY
- value: {{ .Values.duckDBIndex.storageDirectory | quote }}
+- name: DUCKDB_INDEX_CACHE_DIRECTORY
+ value: {{ .Values.duckDBIndex.cacheDirectory | quote }}
@@ -124,2 +124,2 @@
-- name: DESCRIPTIVE_STATISTICS_STORAGE_DIRECTORY
- value: {{ .Values.descriptiveStatistics.storageDirectory | quote }}
+- name: DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY
+ value: {{ .Values.descriptiveStatistics.cacheDirectory | quote }}
diff --git a/chart/templates/_volumeMountDescriptiveStatistics.tpl b/chart/templates/_volumeMountDescriptiveStatistics.tpl
index 35efc290..699416ef 100644
--- a/chart/templates/_volumeMountDescriptiveStatistics.tpl
+++ b/chart/templates/_volumeMountDescriptiveStatistics.tpl
@@ -5 +5 @@
-- mountPath: {{ .Values.descriptiveStatistics.storageDirectory | quote }}
+- mountPath: {{ .Values.descriptiveStatistics.cacheDirectory | quote }}
diff --git a/chart/templates/_volumeMountDuckDBIndex.tpl b/chart/templates/_volumeMountDuckDBIndex.tpl
index 6b148c97..e4f9f9c7 100644
--- a/chart/templates/_volumeMountDuckDBIndex.tpl
+++ b/chart/templates/_volumeMountDuckDBIndex.tpl
@@ -5 +5 @@
-- mountPath: {{ .Values.duckDBIndex.storageDirectory | quote }}
+- mountPath: {{ .Values.duckDBIndex.cacheDirectory | quote }}
diff --git a/chart/templates/storage-admin/_container.tpl b/chart/templates/storage-admin/_container.tpl
index f9b97b42..83b1dce2 100644
--- a/chart/templates/storage-admin/_container.tpl
+++ b/chart/templates/storage-admin/_container.tpl
@@ -8,5 +8,6 @@
- volumeMounts:
- - mountPath: /data
- mountPropagation: None
- name: data
- readOnly: false
+ volumeMounts:
+ {{ include "volumeMountAssetsRW" . | nindent 2 }}
+ {{ include "volumeMountCache" . | nindent 2 }}
+ {{ include "volumeMountParquetMetadataRW" . | nindent 2 }}
+ {{ include "volumeMountDuckDBIndexRW" . | nindent 2 }}
+ {{ include "volumeMountDescriptiveStatisticsRW" . | nindent 2 }}
diff --git a/chart/templates/storage-admin/deployment.yaml b/chart/templates/storage-admin/deployment.yaml
index ca1bf5d3..21c53c18 100644
--- a/chart/templates/storage-admin/deployment.yaml
+++ b/chart/templates/storage-admin/deployment.yaml
@@ -19,0 +20,6 @@ spec:
+ initContainers:
+ {{ include "initContainerAssets" . | nindent 8 }}
+ {{ include "initContainerCache" . | nindent 8 }}
+ {{ include "initContainerParquetMetadata" . | nindent 8 }}
+ {{ include "initContainerDuckDBIndex" . | nindent 8 }}
+ {{ include "initContainerDescriptiveStatistics" . | nindent 8 }}
@@ -23 +29,5 @@ spec:
- volumes: {{ include "volumeData" . | nindent 6 }}
+ volumes:
+ {{ include "volumeCache" . | nindent 8 }}
+ {{ include "volumeData" . | nindent 8 }}
+ {{ include "volumeDuckDB" . | nindent 8 }}
+ {{ include "volumeStatistics" . | nindent 8 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index d0c8317f..23187dd5 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -30,0 +31 @@ spec:
+ {{ include "initContainerDescriptiveStatistics" . | nindent 8 }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 167c40ca..518ac37f 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -245 +245 @@ duckDBIndex:
- storageDirectory: "/duckdb-index"
+ cacheDirectory: "/duckdb-index"
@@ -257 +257 @@ descriptiveStatistics:
- storageDirectory: "/stats-cache"
+ cacheDirectory: "/stats-cache"
diff --git a/libs/libcommon/src/libcommon/config.py b/libs/libcommon/src/libcommon/config.py
index 31814db8..7db3fc80 100644
--- a/libs/libcommon/src/libcommon/config.py
+++ b/libs/libcommon/src/libcommon/config.py
@@ -67 +67 @@ class CachedAssetsConfig:
- storage_directory: Optional[str] = ASSETS_STORAGE_DIRECTORY
+ storage_directory: Optional[str] = CACHED_ASSETS_STORAGE_DIRECTORY
diff --git a/services/worker/README.md b/services/worker/README.md
index d3a5edb0..8b4b430f 100644
--- a/services/worker/README.md
+++ b/services/worker/README.md
@@ -87 +87 @@ Set environment variables to configure the `duckdb-index` worker (`DUCKDB_INDEX_
-- `DUCKDB_INDEX_STORAGE_DIRECTORY`: directory where the temporal duckdb index files are stored. Defaults to empty.
+- `DUCKDB_INDEX_CACHE_DIRECTORY`: directory where the temporal duckdb index files are stored. Defaults to empty.
diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py
index a8876a7b..1a33da61 100644
--- a/services/worker/src/worker/config.py
+++ b/services/worker/src/worker/config.py
@@ -254 +254 @@ class ConfigNamesConfig:
-DUCKDB_INDEX_STORAGE_DIRECTORY = None
+DUCKDB_INDEX_CACHE_DIRECTORY = None
@@ -265 +265 @@ class DuckDbIndexConfig:
- storage_directory: Optional[str] = DUCKDB_INDEX_STORAGE_DIRECTORY
+ cache_directory: Optional[str] = DUCKDB_INDEX_CACHE_DIRECTORY
@@ -278 +278 @@ class DuckDbIndexConfig:
- storage_directory=env.str(name="STORAGE_DIRECTORY", default=DUCKDB_INDEX_STORAGE_DIRECTORY),
+ cache_directory=env.str(name="CACHE_DIRECTORY", default=DUCKDB_INDEX_CACHE_DIRECTORY),
@@ -306 +306 @@ class DescriptiveStatisticsConfig:
- cache_directory=env.str(name="STORAGE_DIRECTORY", default=DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY),
+ cache_directory=env.str(name="CACHE_DIRECTORY", default=DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY),
diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py
index 1a6f3a13..bcaa055f 100644
--- a/services/worker/src/worker/main.py
+++ b/services/worker/src/worker/main.py
@@ -35 +35 @@ if __name__ == "__main__":
- duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=app_config.duckdb_index.storage_directory)
+ duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=app_config.duckdb_index.cache_directory)
diff --git a/services/worker/src/worker/start_worker_loop.py b/services/worker/src/worker/start_worker_loop.py
index a94cbb9e..93fd436f 100644
--- a/services/worker/src/worker/start_worker_loop.py
+++ b/services/worker/src/worker/start_worker_loop.py
@@ -34 +34 @@ if __name__ == "__main__":
- duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=app_config.duckdb_index.storage_directory)
+ duckdb_index_cache_directory = init_duckdb_index_cache_dir(directory=app_config.duckdb_index.cache_directory)
diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py
index 45336f41..1a82ed4a 100644
--- a/services/worker/tests/conftest.py
+++ b/services/worker/tests/conftest.py
@@ -137 +137 @@ def duckdb_index_cache_directory(app_config: AppConfig) -> StrPath:
- return init_duckdb_index_cache_dir(app_config.duckdb_index.storage_directory)
+ return init_duckdb_index_cache_dir(app_config.duckdb_index.cache_directory)
diff --git a/tools/docker-compose-datasets-server.yml b/tools/docker-compose-datasets-server.yml
index fa736d68..faf65c3d 100644
--- a/tools/docker-compose-datasets-server.yml
+++ b/tools/docker-compose-datasets-server.yml
@@ -123 +123 @@ services:
- - duckdb-index:${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}:rw
+ - duckdb-index:${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}:rw
@@ -134 +134 @@ services:
- DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ DUCKDB_INDEX_CACHE_DIRECTORY: ${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index a79211bd..e0c24871 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -128 +128 @@ services:
- - duckdb-index:${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}:rw
+ - duckdb-index:${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}:rw
@@ -139 +139 @@ services:
- DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ DUCKDB_INDEX_CACHE_DIRECTORY: ${DUCKDB_INDEX_CACHE_DIRECTORY-/duckdb-index}
|
|
5a3fc78668e200d0c3e219da24ff2da04360bfe5
|
Andrea Francis Soria Jimenez
| 2023-08-01T20:27:00 |
Fix id from 0 and enable parquet 5G (#1594)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 9dfcf97d..880af022 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -129,0 +130,3 @@ optInOutUrlsScan:
+duckDBIndex:
+ maxParquetSizeBytes: "5_000_000_000"
+
diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py
index 720dc163..0813a6d2 100644
--- a/libs/libcommon/src/libcommon/constants.py
+++ b/libs/libcommon/src/libcommon/constants.py
@@ -40 +40 @@ PROCESSING_STEP_DATASET_SPLIT_NAMES_VERSION = 3
-PROCESSING_STEP_SPLIT_DUCKDB_INDEX_VERSION = 1
+PROCESSING_STEP_SPLIT_DUCKDB_INDEX_VERSION = 2
diff --git a/services/worker/src/worker/job_runners/split/duckdb_index.py b/services/worker/src/worker/job_runners/split/duckdb_index.py
index c452850c..5c9921d1 100644
--- a/services/worker/src/worker/job_runners/split/duckdb_index.py
+++ b/services/worker/src/worker/job_runners/split/duckdb_index.py
@@ -50 +50 @@ DUCKDB_DEFAULT_INDEX_FILENAME = "index.duckdb"
-CREATE_SEQUENCE_COMMAND = "CREATE OR REPLACE SEQUENCE serial START 1;"
+CREATE_SEQUENCE_COMMAND = "CREATE OR REPLACE SEQUENCE serial START 0 MINVALUE 0;"
diff --git a/services/worker/tests/job_runners/split/test_duckdb_index.py b/services/worker/tests/job_runners/split/test_duckdb_index.py
index ead4aed4..87997d25 100644
--- a/services/worker/tests/job_runners/split/test_duckdb_index.py
+++ b/services/worker/tests/job_runners/split/test_duckdb_index.py
@@ -227 +227 @@ def test_compute(
- "SELECT text FROM data WHERE fts_main_data.match_bm25(__hf_index_id, ?) IS NOT NULL;",
+ "SELECT __hf_index_id, text FROM data WHERE fts_main_data.match_bm25(__hf_index_id, ?) IS NOT NULL;",
@@ -240,0 +241 @@ def test_compute(
+ assert (rows["__hf_index_id"].isin([0, 2, 3, 4, 5, 7, 8, 9])).all()
|
|
f76bfd7946bc70fb059be06e6bc5264fc3604a10
|
Sylvain Lesage
| 2023-08-01T19:17:19 |
feat: 🎸 cron every 4 hours (my calculation was wrong) (#1593)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index eb470bf0..9dfcf97d 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -168,2 +168,2 @@ backfill:
- schedule: "00 */8 * * *"
- # every eight hours
+ schedule: "00 */4 * * *"
+ # every four hours
|
|
76f1855f40e0a392b4a11639e61e80e30790ec6d
|
Sylvain Lesage
| 2023-08-01T19:10:32 |
feat: 🎸 increase rate of backfill (#1592)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 6bb34087..eb470bf0 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -168,2 +168,2 @@ backfill:
- schedule: "00 12 * * *"
- # every day at 12:00
+ schedule: "00 */8 * * *"
+ # every eight hours
|
|
05f7fb495eea2566628dfcb5d2066d68e2c42cbc
|
Sylvain Lesage
| 2023-07-31T21:40:44 |
feat: 🎸 adapt examples to new format of the API response (#1590)
|
diff --git a/docs/source/parquet.mdx b/docs/source/parquet.mdx
index c9a20bc3..14f70954 100644
--- a/docs/source/parquet.mdx
+++ b/docs/source/parquet.mdx
@@ -212 +212 @@ curl https://huggingface.co/api/datasets/duorc/parquet \
-The endpoint response is a JSON containing a list of the dataset's files URLs in the Parquet format for each split and configuration. For example, the [`duorc`](https://huggingface.co/datasets/duorc) dataset has one Parquet file for the train split of the "ParaphraseRC" configuration (see the [List splits and configurations](./splits) guide for more details about splits and configurations).
+The endpoint response is a JSON containing a list of the dataset's files URLs in the Parquet format for each split and configuration. For example, the [`duorc`](https://huggingface.co/datasets/duorc) dataset has one Parquet file for the train split of the "ParaphraseRC" configuration (see the [List splits and configurations](./splits) guide for more details about splits and configurations).
@@ -218 +218 @@ The endpoint response is a JSON containing a list of the dataset's files URLs in
- "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-test.parquet"
+ "https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/test/0.parquet"
@@ -221 +221 @@ The endpoint response is a JSON containing a list of the dataset's files URLs in
- "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-train.parquet"
+ "https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/train/0.parquet"
@@ -224 +224 @@ The endpoint response is a JSON containing a list of the dataset's files URLs in
- "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-validation.parquet"
+ "https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/validation/0.parquet"
@@ -229 +229 @@ The endpoint response is a JSON containing a list of the dataset's files URLs in
- "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/SelfRC/duorc-test.parquet"
+ "https://huggingface.co/api/datasets/duorc/parquet/SelfRC/test/0.parquet"
@@ -232 +232 @@ The endpoint response is a JSON containing a list of the dataset's files URLs in
- "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/SelfRC/duorc-train.parquet"
+ "https://huggingface.co/api/datasets/duorc/parquet/SelfRC/train/0.parquet"
@@ -235 +235 @@ The endpoint response is a JSON containing a list of the dataset's files URLs in
- "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/SelfRC/duorc-validation.parquet"
+ "https://huggingface.co/api/datasets/duorc/parquet/SelfRC/validation/0.parquet"
@@ -284 +284,3 @@ curl https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/train \
-["https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-train.parquet"]
+[
+ "https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/train/0.parquet"
+]
|
|
ace9b759f78be4d71a08f60a9f15f9479ffb814a
|
geethika-123
| 2023-07-31T13:18:47 |
remove redundant indices (#1570)
|
diff --git a/libs/libcommon/src/libcommon/simple_cache.py b/libs/libcommon/src/libcommon/simple_cache.py
index cf5704fa..a3a2baad 100644
--- a/libs/libcommon/src/libcommon/simple_cache.py
+++ b/libs/libcommon/src/libcommon/simple_cache.py
@@ -112 +111,0 @@ class CachedResponseDocument(Document):
- ("kind", "http_status", "dataset"),
@@ -114 +112,0 @@ class CachedResponseDocument(Document):
- ("kind", "id"),
|
|
38a8aedbd064b4291ae73f040966b444cca299b1
|
Sylvain Lesage
| 2023-07-28T17:56:20 |
Revert logs and 'dns config revert' (#1586)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 18cea28d..6bb34087 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -111 +111 @@ log:
- level: "DEBUG"
+ level: "INFO"
diff --git a/chart/templates/_dnsConfig.tpl b/chart/templates/_dnsConfig.tpl
new file mode 100644
index 00000000..629d56cf
--- /dev/null
+++ b/chart/templates/_dnsConfig.tpl
@@ -0,0 +1,9 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "dnsConfig" -}}
+dnsConfig:
+ options:
+ - name: ndots
+ value: "1"
+{{- end -}}
diff --git a/chart/templates/cron-jobs/backfill/job.yaml b/chart/templates/cron-jobs/backfill/job.yaml
index 1fe18605..3e5595cc 100644
--- a/chart/templates/cron-jobs/backfill/job.yaml
+++ b/chart/templates/cron-jobs/backfill/job.yaml
@@ -18,0 +19 @@ spec:
+ {{- include "dnsConfig" . | nindent 10 }}
diff --git a/chart/templates/cron-jobs/metrics-collector/job.yaml b/chart/templates/cron-jobs/metrics-collector/job.yaml
index a924c8ee..0e56996f 100644
--- a/chart/templates/cron-jobs/metrics-collector/job.yaml
+++ b/chart/templates/cron-jobs/metrics-collector/job.yaml
@@ -18,0 +19 @@ spec:
+ {{- include "dnsConfig" . | nindent 10 }}
diff --git a/chart/templates/jobs/cache-maintenance/job.yaml b/chart/templates/jobs/cache-maintenance/job.yaml
index 6cd51f57..02c16ba0 100644
--- a/chart/templates/jobs/cache-maintenance/job.yaml
+++ b/chart/templates/jobs/cache-maintenance/job.yaml
@@ -19,0 +20 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/jobs/mongodb-migration/job.yaml b/chart/templates/jobs/mongodb-migration/job.yaml
index 84a18ef5..57836e5b 100644
--- a/chart/templates/jobs/mongodb-migration/job.yaml
+++ b/chart/templates/jobs/mongodb-migration/job.yaml
@@ -21,0 +22 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/admin/deployment.yaml b/chart/templates/services/admin/deployment.yaml
index 79ddd1f0..0956f452 100644
--- a/chart/templates/services/admin/deployment.yaml
+++ b/chart/templates/services/admin/deployment.yaml
@@ -24,0 +25 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/api/deployment.yaml b/chart/templates/services/api/deployment.yaml
index e77b45e3..fada7a93 100644
--- a/chart/templates/services/api/deployment.yaml
+++ b/chart/templates/services/api/deployment.yaml
@@ -24,0 +25 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/rows/deployment.yaml b/chart/templates/services/rows/deployment.yaml
index f4667a87..b04eee90 100644
--- a/chart/templates/services/rows/deployment.yaml
+++ b/chart/templates/services/rows/deployment.yaml
@@ -24,0 +25 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index 872de83b..d0c8317f 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -23,0 +24 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
|
|
379b2948beb5a2f553bf264e6ceecf743bdf0380
|
Sylvain Lesage
| 2023-07-28T17:46:44 |
feat: 🎸 set log level to debug in prod (#1585)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 6bb34087..18cea28d 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -111 +111 @@ log:
- level: "INFO"
+ level: "DEBUG"
|
|
65dfd0a9e44c6f052a9a6bc4107f983e27d4156b
|
Sylvain Lesage
| 2023-07-28T17:28:10 |
Revert "feat: 🎸 reduce the number of DNS requests (#1581)" (#1584)
|
diff --git a/chart/templates/_dnsConfig.tpl b/chart/templates/_dnsConfig.tpl
deleted file mode 100644
index 629d56cf..00000000
--- a/chart/templates/_dnsConfig.tpl
+++ /dev/null
@@ -1,9 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright 2022 The HuggingFace Authors.
-
-{{- define "dnsConfig" -}}
-dnsConfig:
- options:
- - name: ndots
- value: "1"
-{{- end -}}
diff --git a/chart/templates/cron-jobs/backfill/job.yaml b/chart/templates/cron-jobs/backfill/job.yaml
index 3e5595cc..1fe18605 100644
--- a/chart/templates/cron-jobs/backfill/job.yaml
+++ b/chart/templates/cron-jobs/backfill/job.yaml
@@ -19 +18,0 @@ spec:
- {{- include "dnsConfig" . | nindent 10 }}
diff --git a/chart/templates/cron-jobs/metrics-collector/job.yaml b/chart/templates/cron-jobs/metrics-collector/job.yaml
index 0e56996f..a924c8ee 100644
--- a/chart/templates/cron-jobs/metrics-collector/job.yaml
+++ b/chart/templates/cron-jobs/metrics-collector/job.yaml
@@ -19 +18,0 @@ spec:
- {{- include "dnsConfig" . | nindent 10 }}
diff --git a/chart/templates/jobs/cache-maintenance/job.yaml b/chart/templates/jobs/cache-maintenance/job.yaml
index 02c16ba0..6cd51f57 100644
--- a/chart/templates/jobs/cache-maintenance/job.yaml
+++ b/chart/templates/jobs/cache-maintenance/job.yaml
@@ -20 +19,0 @@ spec:
- {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/jobs/mongodb-migration/job.yaml b/chart/templates/jobs/mongodb-migration/job.yaml
index 57836e5b..84a18ef5 100644
--- a/chart/templates/jobs/mongodb-migration/job.yaml
+++ b/chart/templates/jobs/mongodb-migration/job.yaml
@@ -22 +21,0 @@ spec:
- {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/admin/deployment.yaml b/chart/templates/services/admin/deployment.yaml
index 0956f452..79ddd1f0 100644
--- a/chart/templates/services/admin/deployment.yaml
+++ b/chart/templates/services/admin/deployment.yaml
@@ -25 +24,0 @@ spec:
- {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/api/deployment.yaml b/chart/templates/services/api/deployment.yaml
index fada7a93..e77b45e3 100644
--- a/chart/templates/services/api/deployment.yaml
+++ b/chart/templates/services/api/deployment.yaml
@@ -25 +24,0 @@ spec:
- {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/rows/deployment.yaml b/chart/templates/services/rows/deployment.yaml
index b04eee90..f4667a87 100644
--- a/chart/templates/services/rows/deployment.yaml
+++ b/chart/templates/services/rows/deployment.yaml
@@ -25 +24,0 @@ spec:
- {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index d0c8317f..872de83b 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -24 +23,0 @@ spec:
- {{- include "dnsConfig" . | nindent 6 }}
|
|
3302184ac87de717b3ee4930c0a45f37f432f118
|
Sylvain Lesage
| 2023-07-28T16:16:12 |
Add num_rows_total to /rows response (#1580)
|
diff --git a/libs/libapi/src/libapi/utils.py b/libs/libapi/src/libapi/utils.py
index 11837371..b616ee8c 100644
--- a/libs/libapi/src/libapi/utils.py
+++ b/libs/libapi/src/libapi/utils.py
@@ -86 +86 @@ def are_valid_parameters(parameters: List[Any]) -> bool:
-def try_backfill_dataset(
+def try_backfill_dataset_then_raise(
diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py
index 62cc8e71..58d4eed1 100644
--- a/libs/libcommon/src/libcommon/parquet_utils.py
+++ b/libs/libcommon/src/libcommon/parquet_utils.py
@@ -4 +4 @@ import os
-from dataclasses import dataclass
+from dataclasses import dataclass, field
@@ -83,0 +84,2 @@ class ParquetIndexWithMetadata:
+ num_total_rows: int = field(init=False)
+
@@ -88,0 +91 @@ class ParquetIndexWithMetadata:
+ self.num_total_rows = sum(self.num_rows)
diff --git a/services/api/src/api/routes/endpoint.py b/services/api/src/api/routes/endpoint.py
index e01d22b4..b3820ae1 100644
--- a/services/api/src/api/routes/endpoint.py
+++ b/services/api/src/api/routes/endpoint.py
@@ -21 +21 @@ from libapi.utils import (
- try_backfill_dataset,
+ try_backfill_dataset_then_raise,
@@ -85 +85 @@ def get_cache_entry_from_steps(
- try_backfill_dataset(
+ try_backfill_dataset_then_raise(
diff --git a/services/rows/src/rows/routes/rows.py b/services/rows/src/rows/routes/rows.py
index 536c1f9e..830315d9 100644
--- a/services/rows/src/rows/routes/rows.py
+++ b/services/rows/src/rows/routes/rows.py
@@ -27 +27 @@ from libapi.utils import (
- try_backfill_dataset,
+ try_backfill_dataset_then_raise,
@@ -126,0 +127 @@ def create_response(
+ num_total_rows: int,
@@ -144,0 +146 @@ def create_response(
+ "num_total_rows": num_total_rows,
@@ -222 +224 @@ def create_rows_endpoint(
- try_backfill_dataset(
+ try_backfill_dataset_then_raise(
@@ -264,0 +267 @@ def create_rows_endpoint(
+ num_total_rows=rows_index.parquet_index.num_total_rows,
diff --git a/services/rows/tests/routes/test_rows.py b/services/rows/tests/routes/test_rows.py
index 4422aca3..1ca6672e 100644
--- a/services/rows/tests/routes/test_rows.py
+++ b/services/rows/tests/routes/test_rows.py
@@ -283,0 +284 @@ def test_indexer_get_rows_index_with_parquet_metadata(
+ assert index.parquet_index.num_total_rows == 2
@@ -304,0 +306 @@ def test_indexer_get_rows_index_sharded_with_parquet_metadata(
+ assert index.parquet_index.num_total_rows == 8
@@ -336,0 +339 @@ def test_create_response(ds: Dataset, app_config: AppConfig, cached_assets_direc
+ num_total_rows=10,
@@ -342,0 +346 @@ def test_create_response(ds: Dataset, app_config: AppConfig, cached_assets_direc
+ assert response["num_total_rows"] == 10
@@ -357,0 +362 @@ def test_create_response_with_image(
+ num_total_rows=10,
|
|
ad754cda0c26bf7d609292853f0c1681380a882e
|
Sylvain Lesage
| 2023-07-28T15:50:31 |
feat: 🎸 reduce the number of DNS requests (#1581)
|
diff --git a/chart/templates/_dnsConfig.tpl b/chart/templates/_dnsConfig.tpl
new file mode 100644
index 00000000..629d56cf
--- /dev/null
+++ b/chart/templates/_dnsConfig.tpl
@@ -0,0 +1,9 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "dnsConfig" -}}
+dnsConfig:
+ options:
+ - name: ndots
+ value: "1"
+{{- end -}}
diff --git a/chart/templates/cron-jobs/backfill/job.yaml b/chart/templates/cron-jobs/backfill/job.yaml
index 1fe18605..3e5595cc 100644
--- a/chart/templates/cron-jobs/backfill/job.yaml
+++ b/chart/templates/cron-jobs/backfill/job.yaml
@@ -18,0 +19 @@ spec:
+ {{- include "dnsConfig" . | nindent 10 }}
diff --git a/chart/templates/cron-jobs/metrics-collector/job.yaml b/chart/templates/cron-jobs/metrics-collector/job.yaml
index a924c8ee..0e56996f 100644
--- a/chart/templates/cron-jobs/metrics-collector/job.yaml
+++ b/chart/templates/cron-jobs/metrics-collector/job.yaml
@@ -18,0 +19 @@ spec:
+ {{- include "dnsConfig" . | nindent 10 }}
diff --git a/chart/templates/jobs/cache-maintenance/job.yaml b/chart/templates/jobs/cache-maintenance/job.yaml
index 6cd51f57..02c16ba0 100644
--- a/chart/templates/jobs/cache-maintenance/job.yaml
+++ b/chart/templates/jobs/cache-maintenance/job.yaml
@@ -19,0 +20 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/jobs/mongodb-migration/job.yaml b/chart/templates/jobs/mongodb-migration/job.yaml
index 84a18ef5..57836e5b 100644
--- a/chart/templates/jobs/mongodb-migration/job.yaml
+++ b/chart/templates/jobs/mongodb-migration/job.yaml
@@ -21,0 +22 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/admin/deployment.yaml b/chart/templates/services/admin/deployment.yaml
index 79ddd1f0..0956f452 100644
--- a/chart/templates/services/admin/deployment.yaml
+++ b/chart/templates/services/admin/deployment.yaml
@@ -24,0 +25 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/api/deployment.yaml b/chart/templates/services/api/deployment.yaml
index e77b45e3..fada7a93 100644
--- a/chart/templates/services/api/deployment.yaml
+++ b/chart/templates/services/api/deployment.yaml
@@ -24,0 +25 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/services/rows/deployment.yaml b/chart/templates/services/rows/deployment.yaml
index f4667a87..b04eee90 100644
--- a/chart/templates/services/rows/deployment.yaml
+++ b/chart/templates/services/rows/deployment.yaml
@@ -24,0 +25 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index 872de83b..d0c8317f 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -23,0 +24 @@ spec:
+ {{- include "dnsConfig" . | nindent 6 }}
|
|
e792862bd3968ac4b091d47a9391cb166e7a3bbe
|
Quentin Lhoest
| 2023-07-28T12:42:21 |
Use cached features in /rows (#1573)
|
diff --git a/chart/static-files/openapi.json b/chart/static-files/openapi.json
index 832fd7a7..378ae7c9 100644
--- a/chart/static-files/openapi.json
+++ b/chart/static-files/openapi.json
@@ -2814,0 +2815,17 @@
+ },
+ {
+ "name": "config",
+ "in": "query",
+ "description": "The dataset configuration (or subset).",
+ "required": false,
+ "schema": { "type": "string" },
+ "examples": {
+ "cola": {
+ "summary": "a subset of the glue dataset",
+ "value": "cola"
+ },
+ "yangdong/ecqa": {
+ "summary": "the default configuration given by the 🤗 Datasets library",
+ "value": "yangdong--ecqa"
+ }
+ }
@@ -2884 +2901,71 @@
- ]
+ ],
+ "pending": [],
+ "failed": [],
+ "partial": false
+ }
+ },
+ "duorc with ParaphraseRC config": {
+ "summary": "duorc: three parquet files for ParaphraseRC, one per split",
+ "value": {
+ "parquet_files": [
+ {
+ "dataset": "duorc",
+ "config": "ParaphraseRC",
+ "split": "test",
+ "url": "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-test.parquet",
+ "filename": "duorc-test.parquet",
+ "size": 6136590
+ },
+ {
+ "dataset": "duorc",
+ "config": "ParaphraseRC",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-train.parquet",
+ "filename": "duorc-train.parquet",
+ "size": 26005667
+ },
+ {
+ "dataset": "duorc",
+ "config": "ParaphraseRC",
+ "split": "validation",
+ "url": "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-validation.parquet",
+ "filename": "duorc-validation.parquet",
+ "size": 5566867
+ }
+ ],
+ "pending": [],
+ "failed": [],
+ "partial": false,
+ "features": {
+ "plot_id": {
+ "dtype": "string",
+ "_type": "Value"
+ },
+ "plot": {
+ "dtype": "string",
+ "_type": "Value"
+ },
+ "title": {
+ "dtype": "string",
+ "_type": "Value"
+ },
+ "question_id": {
+ "dtype": "string",
+ "_type": "Value"
+ },
+ "question": {
+ "dtype": "string",
+ "_type": "Value"
+ },
+ "answers": {
+ "feature": {
+ "dtype": "string",
+ "_type": "Value"
+ },
+ "_type": "Sequence"
+ },
+ "no_answer": {
+ "dtype": "bool",
+ "_type": "Value"
+ }
+ }
@@ -2888 +2975 @@
- "summary": "alexandrainst/danish-wit: the parquet file for the train split is partitioned into 9 shards",
+ "summary": "alexandrainst/da-wit: the parquet file for the train split is partitioned into 9 shards",
@@ -2892 +2979 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2895 +2982 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-test.parquet",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-test.parquet",
@@ -2897 +2984,17 @@
- "size": 48781933
+ "size": 48684227
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00000-of-00017.parquet",
+ "filename": "parquet-train-00000-of-00017.parquet",
+ "size": 465549291
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00001-of-00017.parquet",
+ "filename": "parquet-train-00001-of-00017.parquet",
+ "size": 465701535
@@ -2900 +3003 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2903,3 +3006,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00000-of-00009.parquet",
- "filename": "parquet-train-00000-of-00009.parquet",
- "size": 937127291
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00002-of-00017.parquet",
+ "filename": "parquet-train-00002-of-00017.parquet",
+ "size": 463857123
@@ -2908 +3011 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2911,3 +3014,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00001-of-00009.parquet",
- "filename": "parquet-train-00001-of-00009.parquet",
- "size": 925920565
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00003-of-00017.parquet",
+ "filename": "parquet-train-00003-of-00017.parquet",
+ "size": 456197486
@@ -2916 +3019 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2919,3 +3022,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00002-of-00009.parquet",
- "filename": "parquet-train-00002-of-00009.parquet",
- "size": 940390661
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00004-of-00017.parquet",
+ "filename": "parquet-train-00004-of-00017.parquet",
+ "size": 465412051
@@ -2924 +3027 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2927,3 +3030,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00003-of-00009.parquet",
- "filename": "parquet-train-00003-of-00009.parquet",
- "size": 934549621
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00005-of-00017.parquet",
+ "filename": "parquet-train-00005-of-00017.parquet",
+ "size": 469114305
@@ -2932 +3035 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2935,3 +3038,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00004-of-00009.parquet",
- "filename": "parquet-train-00004-of-00009.parquet",
- "size": 493004154
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00006-of-00017.parquet",
+ "filename": "parquet-train-00006-of-00017.parquet",
+ "size": 460338645
@@ -2940 +3043 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2943,3 +3046,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00005-of-00009.parquet",
- "filename": "parquet-train-00005-of-00009.parquet",
- "size": 942848888
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00007-of-00017.parquet",
+ "filename": "parquet-train-00007-of-00017.parquet",
+ "size": 468309376
@@ -2948 +3051 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2951,3 +3054,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00006-of-00009.parquet",
- "filename": "parquet-train-00006-of-00009.parquet",
- "size": 933373843
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00008-of-00017.parquet",
+ "filename": "parquet-train-00008-of-00017.parquet",
+ "size": 490063121
@@ -2956 +3059 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2959,3 +3062,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00007-of-00009.parquet",
- "filename": "parquet-train-00007-of-00009.parquet",
- "size": 936939176
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00009-of-00017.parquet",
+ "filename": "parquet-train-00009-of-00017.parquet",
+ "size": 460462764
@@ -2964 +3067 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
@@ -2967,3 +3070,3 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00008-of-00009.parquet",
- "filename": "parquet-train-00008-of-00009.parquet",
- "size": 946933048
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00010-of-00017.parquet",
+ "filename": "parquet-train-00010-of-00017.parquet",
+ "size": 476525998
@@ -2972 +3075,49 @@
- "dataset": "alexandrainst/danish-wit",
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00011-of-00017.parquet",
+ "filename": "parquet-train-00011-of-00017.parquet",
+ "size": 470327354
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00012-of-00017.parquet",
+ "filename": "parquet-train-00012-of-00017.parquet",
+ "size": 457138334
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00013-of-00017.parquet",
+ "filename": "parquet-train-00013-of-00017.parquet",
+ "size": 464485292
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00014-of-00017.parquet",
+ "filename": "parquet-train-00014-of-00017.parquet",
+ "size": 466549376
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00015-of-00017.parquet",
+ "filename": "parquet-train-00015-of-00017.parquet",
+ "size": 460452174
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
+ "config": "alexandrainst--danish-wit",
+ "split": "train",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-train-00016-of-00017.parquet",
+ "filename": "parquet-train-00016-of-00017.parquet",
+ "size": 480583533
+ },
+ {
+ "dataset": "alexandrainst/da-wit",
@@ -2975 +3126 @@
- "url": "https://huggingface.co/datasets/alexandrainst/danish-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-val.parquet",
+ "url": "https://huggingface.co/datasets/alexandrainst/da-wit/resolve/refs%2Fconvert%2Fparquet/alexandrainst--danish-wit/parquet-val.parquet",
@@ -2977 +3128 @@
- "size": 11437355
+ "size": 11434278
@@ -2979 +3130,4 @@
- ]
+ ],
+ "pending": [],
+ "failed": [],
+ "partial": false
diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py
index aaf7b219..720dc163 100644
--- a/libs/libcommon/src/libcommon/constants.py
+++ b/libs/libcommon/src/libcommon/constants.py
@@ -28,2 +28,2 @@ PROCESSING_STEP_CONFIG_PARQUET_AND_INFO_VERSION = 3
-PROCESSING_STEP_CONFIG_PARQUET_METADATA_VERSION = 1
-PROCESSING_STEP_CONFIG_PARQUET_VERSION = 5
+PROCESSING_STEP_CONFIG_PARQUET_METADATA_VERSION = 2
+PROCESSING_STEP_CONFIG_PARQUET_VERSION = 6
diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py
index 98605220..62cc8e71 100644
--- a/libs/libcommon/src/libcommon/parquet_utils.py
+++ b/libs/libcommon/src/libcommon/parquet_utils.py
@@ -11 +11,2 @@ import pyarrow.parquet as pq
-from datasets import Features
+from datasets import Features, Value
+from datasets.features.features import FeatureType, _visit
@@ -46 +47 @@ def get_supported_unsupported_columns(
- unsupported_features_magic_strings: List[str] = [],
+ unsupported_features: List[FeatureType] = [],
@@ -51 +51,0 @@ def get_supported_unsupported_columns(
- str_feature = str(feature)
@@ -53,3 +53,13 @@ def get_supported_unsupported_columns(
- if any(magic_string in str_feature for magic_string in unsupported_features_magic_strings):
- unsupported_columns.append(str_column)
- else:
+ supported = True
+
+ def classify(feature: FeatureType) -> None:
+ nonlocal supported
+ for unsupported_feature in unsupported_features:
+ if type(unsupported_feature) == type(feature) == Value:
+ if unsupported_feature.dtype == feature.dtype:
+ supported = False
+ elif type(unsupported_feature) == type(feature):
+ supported = False
+
+ _visit(feature, classify)
+ if supported:
@@ -56,0 +67,2 @@ def get_supported_unsupported_columns(
+ else:
+ unsupported_columns.append(str_column)
@@ -162,0 +175 @@ class ParquetIndexWithMetadata:
+ features: Optional[Features],
@@ -166 +179 @@ class ParquetIndexWithMetadata:
- unsupported_features_magic_strings: List[str] = [],
+ unsupported_features: List[FeatureType] = [],
@@ -192 +205,2 @@ class ParquetIndexWithMetadata:
- features = Features.from_arrow_schema(pq.read_schema(metadata_paths[0]))
+ if features is None: # config-parquet version<6 didn't have features
+ features = Features.from_arrow_schema(pq.read_schema(metadata_paths[0]))
@@ -195 +209 @@ class ParquetIndexWithMetadata:
- unsupported_features_magic_strings=unsupported_features_magic_strings,
+ unsupported_features=unsupported_features,
@@ -220 +234 @@ class RowsIndex:
- unsupported_features_magic_strings: List[str] = [],
+ unsupported_features: List[FeatureType] = [],
@@ -231 +245 @@ class RowsIndex:
- unsupported_features_magic_strings=unsupported_features_magic_strings,
+ unsupported_features=unsupported_features,
@@ -238 +252 @@ class RowsIndex:
- unsupported_features_magic_strings: List[str] = [],
+ unsupported_features: List[FeatureType] = [],
@@ -254,0 +269,4 @@ class RowsIndex:
+ if content.get("features"): # config-parquet-metadata version<2 didn't have features
+ features = Features.from_dict(content["features"])
+ else:
+ features = None
@@ -263,0 +282 @@ class RowsIndex:
+ features=features,
@@ -267 +286 @@ class RowsIndex:
- unsupported_features_magic_strings=unsupported_features_magic_strings,
+ unsupported_features=unsupported_features,
@@ -298 +317 @@ class Indexer:
- unsupported_features_magic_strings: List[str] = [],
+ unsupported_features: List[FeatureType] = [],
@@ -306 +325 @@ class Indexer:
- self.unsupported_features_magic_strings = unsupported_features_magic_strings
+ self.unsupported_features = unsupported_features
@@ -316 +335 @@ class Indexer:
- filter_magic_strings = (
+ filter_features = (
@@ -320 +339 @@ class Indexer:
- unsupported_features_magic_strings = self.unsupported_features_magic_strings if filter_magic_strings else []
+ unsupported_features = self.unsupported_features if filter_features else []
@@ -329 +348 @@ class Indexer:
- unsupported_features_magic_strings=unsupported_features_magic_strings,
+ unsupported_features=unsupported_features,
diff --git a/libs/libcommon/src/libcommon/simple_cache.py b/libs/libcommon/src/libcommon/simple_cache.py
index 2d2d897a..cf5704fa 100644
--- a/libs/libcommon/src/libcommon/simple_cache.py
+++ b/libs/libcommon/src/libcommon/simple_cache.py
@@ -19,0 +20 @@ from typing import (
+ overload,
@@ -194,0 +196,30 @@ def delete_dataset_responses(dataset: str) -> Optional[int]:
+T = TypeVar("T")
+
+
+@overload
+def _clean_nested_mongo_object(obj: Dict[str, T]) -> Dict[str, T]:
+ ...
+
+
+@overload
+def _clean_nested_mongo_object(obj: List[T]) -> List[T]:
+ ...
+
+
+@overload
+def _clean_nested_mongo_object(obj: T) -> T:
+ ...
+
+
+def _clean_nested_mongo_object(obj: Any) -> Any:
+ """get rid of BaseDict and BaseList objects from mongo (Feature.from_dict doesn't support them)"""
+ if isinstance(obj, dict):
+ return {k: _clean_nested_mongo_object(v) for k, v in obj.items()}
+ elif isinstance(obj, list):
+ return [_clean_nested_mongo_object(v) for v in obj]
+ elif isinstance(obj, tuple):
+ return tuple(_clean_nested_mongo_object(v) for v in obj)
+ else:
+ return obj
+
+
@@ -307 +338 @@ def get_response(kind: str, dataset: str, config: Optional[str] = None, split: O
- "content": response.content,
+ "content": _clean_nested_mongo_object(response.content),
@@ -337 +368 @@ def get_response_with_details(
- "content": response.content,
+ "content": _clean_nested_mongo_object(response.content),
@@ -343 +374 @@ def get_response_with_details(
- "details": response.details,
+ "details": _clean_nested_mongo_object(response.details),
@@ -553 +584 @@ def get_cache_reports(kind: str, cursor: Optional[str], limit: int) -> CacheRepo
- "details": object.details,
+ "details": _clean_nested_mongo_object(object.details),
@@ -584 +615 @@ def get_dataset_responses_without_content_for_kind(kind: str, dataset: str) -> L
- "details": response.details,
+ "details": _clean_nested_mongo_object(response.details),
@@ -646 +677 @@ def get_cache_reports_with_content(kind: str, cursor: Optional[str], limit: int)
- "content": object.content,
+ "content": _clean_nested_mongo_object(object.content),
@@ -649 +680 @@ def get_cache_reports_with_content(kind: str, cursor: Optional[str], limit: int)
- "details": object.details,
+ "details": _clean_nested_mongo_object(object.details),
diff --git a/services/rows/src/rows/routes/rows.py b/services/rows/src/rows/routes/rows.py
index d6f9f578..536c1f9e 100644
--- a/services/rows/src/rows/routes/rows.py
+++ b/services/rows/src/rows/routes/rows.py
@@ -12 +12 @@ import pyarrow as pa
-from datasets import Features
+from datasets import Audio, Features, Value
@@ -51 +51 @@ ALL_COLUMNS_SUPPORTED_DATASETS_ALLOW_LIST: Union[Literal["all"], List[str]] = ["
-UNSUPPORTED_FEATURES_MAGIC_STRINGS = ["'binary'", "Audio("]
+UNSUPPORTED_FEATURES = [Value("binary"), Audio()]
@@ -172 +172 @@ def create_rows_endpoint(
- unsupported_features_magic_strings=UNSUPPORTED_FEATURES_MAGIC_STRINGS,
+ unsupported_features=UNSUPPORTED_FEATURES,
diff --git a/services/rows/tests/routes/test_rows.py b/services/rows/tests/routes/test_rows.py
index f40c27b8..4422aca3 100644
--- a/services/rows/tests/routes/test_rows.py
+++ b/services/rows/tests/routes/test_rows.py
@@ -14 +14 @@ import pytest
-from datasets import Dataset, Image, concatenate_datasets
+from datasets import Audio, Dataset, Features, Image, Value, concatenate_datasets
@@ -18 +18,6 @@ from fsspec.implementations.http import HTTPFileSystem
-from libcommon.parquet_utils import Indexer, ParquetIndexWithMetadata, RowsIndex
+from libcommon.parquet_utils import (
+ Indexer,
+ ParquetIndexWithMetadata,
+ RowsIndex,
+ get_supported_unsupported_columns,
+)
@@ -435,0 +441,19 @@ def test_update_last_modified_date_of_rows_in_assets_dir(tmp_path: Path) -> None
+
+
+def test_get_supported_unsupported_columns() -> None:
+ features = Features(
+ {
+ "audio1": Audio(),
+ "audio2": Audio(sampling_rate=16_000),
+ "audio3": [Audio()],
+ "image1": Image(),
+ "image2": Image(decode=False),
+ "image3": [Image()],
+ "string": Value("string"),
+ "binary": Value("binary"),
+ }
+ )
+ unsupported_features = [Value("binary"), Audio()]
+ supported_columns, unsupported_columns = get_supported_unsupported_columns(features, unsupported_features)
+ assert supported_columns == ["image1", "image2", "image3", "string"]
+ assert unsupported_columns == ["audio1", "audio2", "audio3", "binary"]
diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py
index 859ffadb..bfb0d108 100644
--- a/services/worker/src/worker/dtos.py
+++ b/services/worker/src/worker/dtos.py
@@ -119,0 +120 @@ class ConfigParquetMetadataResponse(TypedDict):
+ features: Optional[Dict[str, Any]]
@@ -124,0 +126 @@ class ConfigParquetResponse(TypedDict):
+ features: Optional[Dict[str, Any]]
diff --git a/services/worker/src/worker/job_runners/config/parquet.py b/services/worker/src/worker/job_runners/config/parquet.py
index fa614c97..9c022402 100644
--- a/services/worker/src/worker/job_runners/config/parquet.py
+++ b/services/worker/src/worker/job_runners/config/parquet.py
@@ -44,0 +45,5 @@ def compute_parquet_response(dataset: str, config: str) -> ConfigParquetResponse
+ if "features" in content["dataset_info"] and isinstance(content["dataset_info"]["features"], dict):
+ features = content["dataset_info"]["features"]
+ else:
+ # (July 23) we can remove this later and raise an error instead (can be None for backward compatibility)
+ features = None
@@ -48 +53 @@ def compute_parquet_response(dataset: str, config: str) -> ConfigParquetResponse
- return ConfigParquetResponse(parquet_files=parquet_files, partial=partial)
+ return ConfigParquetResponse(parquet_files=parquet_files, features=features, partial=partial)
diff --git a/services/worker/src/worker/job_runners/config/parquet_metadata.py b/services/worker/src/worker/job_runners/config/parquet_metadata.py
index a89ca497..c0cf897f 100644
--- a/services/worker/src/worker/job_runners/config/parquet_metadata.py
+++ b/services/worker/src/worker/job_runners/config/parquet_metadata.py
@@ -97,0 +98,6 @@ def compute_parquet_metadata_response(
+ content = config_parquet_best_response.response["content"]
+ if "features" in content and isinstance(content["features"], dict):
+ features = content["features"] # config-parquet version<6 didn't have features
+ else:
+ # (July 23) we can remove this later and raise an error instead (can be None for backward compatibility)
+ features = None
@@ -116 +122,3 @@ def compute_parquet_metadata_response(
- return ConfigParquetMetadataResponse(parquet_files_metadata=parquet_files_metadata, partial=partial)
+ return ConfigParquetMetadataResponse(
+ parquet_files_metadata=parquet_files_metadata, features=features, partial=partial
+ )
diff --git a/services/worker/src/worker/job_runners/dataset/parquet.py b/services/worker/src/worker/job_runners/dataset/parquet.py
index 4b04f122..9a493158 100644
--- a/services/worker/src/worker/job_runners/dataset/parquet.py
+++ b/services/worker/src/worker/job_runners/dataset/parquet.py
@@ -86 +86,3 @@ def compute_parquet_response(dataset: str) -> Tuple[DatasetParquetResponse, floa
- parquet_files=response["content"]["parquet_files"], partial=response["content"]["partial"]
+ parquet_files=response["content"]["parquet_files"],
+ partial=response["content"]["partial"],
+ features=None, # we can keep it None since we don't pass it to DatasetParquetResponse anyway
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
index 402c0d70..1fd5f9a3 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
@@ -193 +193 @@ class SplitFirstRowsFromParquetJobRunner(SplitJobRunner):
- unsupported_features_magic_strings=[],
+ unsupported_features=[],
diff --git a/services/worker/tests/job_runners/config/test_parquet.py b/services/worker/tests/job_runners/config/test_parquet.py
index 223f8f69..f2c2d161 100644
--- a/services/worker/tests/job_runners/config/test_parquet.py
+++ b/services/worker/tests/job_runners/config/test_parquet.py
@@ -7,0 +8 @@ import pytest
+from datasets import Features, Value
@@ -98,0 +100 @@ def get_job_runner(
+ features=None,
@@ -182,0 +185,56 @@ def get_job_runner(
+ features=None,
+ ),
+ False,
+ ),
+ (
+ "with_features",
+ "config_1",
+ HTTPStatus.OK,
+ ConfigParquetAndInfoResponse(
+ parquet_files=[
+ SplitHubFile(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url1",
+ filename="filename1",
+ size=0,
+ ),
+ SplitHubFile(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url2",
+ filename="filename2",
+ size=0,
+ ),
+ ],
+ dataset_info={
+ "description": "value",
+ "dataset_size": 10,
+ "features": Features({"a": Value("string")}).to_dict(),
+ },
+ partial=False,
+ ),
+ None,
+ ConfigParquetResponse(
+ parquet_files=[
+ SplitHubFile(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url1",
+ filename="filename1",
+ size=0,
+ ),
+ SplitHubFile(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url2",
+ filename="filename2",
+ size=0,
+ ),
+ ],
+ partial=False,
+ features=Features({"a": Value("string")}).to_dict(),
diff --git a/services/worker/tests/job_runners/config/test_parquet_metadata.py b/services/worker/tests/job_runners/config/test_parquet_metadata.py
index 2808b419..74f3aa7b 100644
--- a/services/worker/tests/job_runners/config/test_parquet_metadata.py
+++ b/services/worker/tests/job_runners/config/test_parquet_metadata.py
@@ -13 +13 @@ import pytest
-from datasets import Dataset, Features
+from datasets import Dataset, Features, Value
@@ -107,0 +108 @@ def get_job_runner(
+ features=None,
@@ -133,0 +135 @@ def get_job_runner(
+ features=None,
@@ -154,0 +157,55 @@ def get_job_runner(
+ (
+ "with_features",
+ "config_1",
+ HTTPStatus.OK,
+ ConfigParquetResponse(
+ parquet_files=[
+ SplitHubFile(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url1",
+ filename="filename1",
+ size=0,
+ ),
+ SplitHubFile(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url2",
+ filename="filename2",
+ size=0,
+ ),
+ ],
+ partial=False,
+ features=Features({"a": Value("string")}).to_dict(),
+ ),
+ None,
+ ConfigParquetMetadataResponse(
+ parquet_files_metadata=[
+ ParquetFileMetadataItem(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url1",
+ filename="filename1",
+ size=0,
+ num_rows=3,
+ parquet_metadata_subpath="with_features/--/config_1/train/filename1",
+ ),
+ ParquetFileMetadataItem(
+ dataset="with_features",
+ config="config_1",
+ split="train",
+ url="url2",
+ filename="filename2",
+ size=0,
+ num_rows=3,
+ parquet_metadata_subpath="with_features/--/config_1/train/filename2",
+ ),
+ ],
+ partial=False,
+ features=Features({"a": Value("string")}).to_dict(),
+ ),
+ False,
+ ),
diff --git a/services/worker/tests/job_runners/dataset/test_parquet.py b/services/worker/tests/job_runners/dataset/test_parquet.py
index 8d53cad6..15286174 100644
--- a/services/worker/tests/job_runners/dataset/test_parquet.py
+++ b/services/worker/tests/job_runners/dataset/test_parquet.py
@@ -102,0 +103 @@ def get_job_runner(
+ features=None,
@@ -121,0 +123 @@ def get_job_runner(
+ features=None,
|
|
f0b599204603625d48d3a396d8dcf30c77e9c41f
|
Andrea Francis Soria Jimenez
| 2023-07-27T19:20:26 |
Skip real test (#1575)
|
diff --git a/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py b/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
index ff6640a4..dbb8b8d5 100644
--- a/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
+++ b/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
@@ -301,0 +302,6 @@ def test_compute_error_from_spawning(
[email protected](
+ reason=(
+ "Temporarily disabled, we can't use secrets on fork repos. See"
+ " https://github.com/huggingface/datasets-server/issues/1085"
+ )
+)
|
|
fa7c7e8c80d018c22e1b0c06fd21c2087e667592
|
Quentin Lhoest
| 2023-07-27T16:47:47 |
fix torch on macos (#1571)
|
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock
index 7296cd7d..a1104a04 100644
--- a/services/worker/poetry.lock
+++ b/services/worker/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
@@ -2924 +2923,0 @@ files = [
- {file = "pdf2image-1.16.3.tar.gz", hash = "sha256:74208810c2cef4d9e347769b8e62a52303982ddb4f2dfd744c7ab4b940ae287e"},
@@ -4436 +4434,0 @@ files = [
- {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
@@ -4896,0 +4895,40 @@ files = [
+[[package]]
+name = "torch"
+version = "1.13.1"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+ {file = "torch-1.13.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:e0df902a7c7dd6c795698532ee5970ce898672625635d885eade9976e5a04949"},
+]
+
+[package.dependencies]
+typing-extensions = "*"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+
+[package.source]
+type = "url"
+url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp39-none-macosx_11_0_arm64.whl"
+[[package]]
+name = "torch"
+version = "1.13.1"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+ {file = "torch-1.13.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:2c3581a3fd81eb1f0f22997cddffea569fea53bafa372b2c0471db373b26aafc"},
+]
+
+[package.dependencies]
+typing-extensions = "*"
+
+[package.extras]
+opt-einsum = ["opt-einsum (>=3.3)"]
+
+[package.source]
+type = "url"
+url = "https://download.pytorch.org/whl/torch-1.13.1-cp39-cp39-manylinux2014_aarch64.whl"
@@ -5631 +5669 @@ python-versions = "3.9.15"
-content-hash = "ae4fd56d29a7d8cc750540a751d71225507bc8a6ee9b72e161a6504e5819f4c2"
+content-hash = "1cf77490bc276a2f2e5294b598bb85d106bede00f581476c57d96d7004005da6"
diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml
index 62578535..bf162508 100644
--- a/services/worker/pyproject.toml
+++ b/services/worker/pyproject.toml
@@ -43 +43,6 @@ tfrecord = "^1.14.1"
-torch = { url = "https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp39-cp39-linux_x86_64.whl" }
+torch = [
+ { url = "https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp39-cp39-linux_x86_64.whl", markers = "sys_platform == 'linux' and platform_machine != 'aarch64'"},
+ { url = "https://download.pytorch.org/whl/cpu/torch-1.13.1%2Bcpu-cp39-cp39-linux_x86_64.whl", markers = "sys_platform == 'darwin' and platform_machine != 'arm64'"},
+ { url = "https://download.pytorch.org/whl/cpu/torch-1.13.1-cp39-none-macosx_11_0_arm64.whl", markers = "sys_platform == 'darwin' and platform_machine == 'arm64'"},
+ { url = "https://download.pytorch.org/whl/torch-1.13.1-cp39-cp39-manylinux2014_aarch64.whl", markers = "sys_platform == 'linux' and platform_machine == 'aarch64'"},
+]
|
|
770a11c1eebde18ed28fb8c9717e774723237115
|
Quentin Lhoest
| 2023-07-27T16:17:29 |
fix dev admin auth (#1574)
|
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index d49dc549..a79211bd 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -36 +36 @@ services:
- ADMIN_HF_ORGANIZATION: ${ADMIN_HF_ORGANIZATION-huggingface}
+ ADMIN_HF_ORGANIZATION: ${ADMIN_HF_ORGANIZATION-__DUMMY_DATASETS_SERVER_ADMINS_ORG__}
|
|
66ec434c7ae447de085a68acaf7897bb5d660bbb
|
Polina Kazakova
| 2023-07-27T15:51:05 |
Descriptive statistics (#1199)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index f71a593a..6bb34087 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -95,0 +96,3 @@ duckdbPersistence:
+statisticsPersistence:
+ existingClaim: "datasets-server-statistics-pvc"
+
@@ -126,0 +130,2 @@ optInOutUrlsScan:
+descriptiveStatistics:
+ maxParquetSizeBytes: "5_000_000_000"
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index 02c8de79..09acc58d 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -92,0 +93,3 @@ duckdbPersistence:
+statisticsPersistence:
+ existingClaim: "datasets-server-statistics-pvc"
+
diff --git a/chart/templates/_envWorker.tpl b/chart/templates/_envWorker.tpl
index 630c7152..54e51c1b 100644
--- a/chart/templates/_envWorker.tpl
+++ b/chart/templates/_envWorker.tpl
@@ -118,0 +119,7 @@
+# specific to 'split-descriptive-statistics'
+- name: DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS
+ value: {{ .Values.descriptiveStatistics.histogramNumBins | quote }}
+- name: DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES
+ value: {{ .Values.descriptiveStatistics.maxParquetSizeBytes | quote }}
+- name: DESCRIPTIVE_STATISTICS_STORAGE_DIRECTORY
+ value: {{ .Values.descriptiveStatistics.storageDirectory | quote }}
diff --git a/chart/templates/_helpers.tpl b/chart/templates/_helpers.tpl
index cb73f80a..3149b0a6 100644
--- a/chart/templates/_helpers.tpl
+++ b/chart/templates/_helpers.tpl
@@ -189,0 +190,9 @@ The duckdb-index/ subpath in the NFS
+{{/*
+The stats-cache/ subpath in the NFS
+- in a subdirectory named as the chart (datasets-server/), and below it,
+- in a subdirectory named as the Release, so that Releases will not share the same dir
+*/}}
+{{- define "descriptiveStatistics.subpath" -}}
+{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "stats-cache" }}
+{{- end }}
+
diff --git a/chart/templates/_initContainerDescriptiveStatistics.tpl b/chart/templates/_initContainerDescriptiveStatistics.tpl
new file mode 100644
index 00000000..2664075c
--- /dev/null
+++ b/chart/templates/_initContainerDescriptiveStatistics.tpl
@@ -0,0 +1,21 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "initContainerDescriptiveStatistics" -}}
+- name: compute-descriptive-statistics
+ image: ubuntu:focal
+ imagePullPolicy: {{ .Values.images.pullPolicy }}
+ command: ["/bin/sh", "-c"]
+ args:
+ - chown {{ .Values.uid }}:{{ .Values.gid }} /mounted-path;
+ volumeMounts:
+ - mountPath: /mounted-path
+ mountPropagation: None
+ name: statistics-data
+ subPath: "{{ include "descriptiveStatistics.subpath" . }}"
+ readOnly: false
+ securityContext:
+ runAsNonRoot: false
+ runAsUser: 0
+ runAsGroup: 0
+{{- end -}}
diff --git a/chart/templates/_volumeMountDescriptiveStatistics.tpl b/chart/templates/_volumeMountDescriptiveStatistics.tpl
new file mode 100644
index 00000000..35efc290
--- /dev/null
+++ b/chart/templates/_volumeMountDescriptiveStatistics.tpl
@@ -0,0 +1,10 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "volumeMountDescriptiveStatisticsRW" -}}
+- mountPath: {{ .Values.descriptiveStatistics.storageDirectory | quote }}
+ mountPropagation: None
+ name: data
+ subPath: "{{ include "descriptiveStatistics.subpath" . }}"
+ readOnly: false
+{{- end -}}
diff --git a/chart/templates/_volumeStatistics.tpl b/chart/templates/_volumeStatistics.tpl
new file mode 100644
index 00000000..dd215b31
--- /dev/null
+++ b/chart/templates/_volumeStatistics.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+{{- define "volumeStatistics" -}}
+- name: statistics-data
+ persistentVolumeClaim:
+ claimName: {{ .Values.statisticsPersistence.existingClaim | default (include "name" .) }}
+{{- end -}}
\ No newline at end of file
diff --git a/chart/templates/worker/_container.tpl b/chart/templates/worker/_container.tpl
index cf58ef20..b78c641c 100644
--- a/chart/templates/worker/_container.tpl
+++ b/chart/templates/worker/_container.tpl
@@ -32,0 +33 @@
+ {{ include "volumeMountDescriptiveStatisticsRW" . | nindent 2 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index f63b9a01..872de83b 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -36,0 +37 @@ spec:
+ {{ include "volumeStatistics" . | nindent 8 }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 90ce3506..167c40ca 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -116,0 +117,3 @@ duckdbPersistence:
+statisticsPersistence:
+ existingClaim: ""
+
@@ -251,0 +255,8 @@ duckDBIndex:
+descriptiveStatistics:
+ # Directory on the shared storage (used temporarily to download dataset locally in .parquet to compute statistics)
+ storageDirectory: "/stats-cache"
+ # fixed number of bins for histogram count
+ histogramNumBins: 10
+ # the maximum size of the split parquets.
+ maxParquetSizeBytes: "100_000_000"
+
diff --git a/libs/libcommon/src/libcommon/config.py b/libs/libcommon/src/libcommon/config.py
index 48041b90..31814db8 100644
--- a/libs/libcommon/src/libcommon/config.py
+++ b/libs/libcommon/src/libcommon/config.py
@@ -26,0 +27 @@ from libcommon.constants import (
+ PROCESSING_STEP_SPLIT_DESCRIPTIVE_STATISTICS_VERSION,
@@ -301,0 +303,9 @@ class ProcessingGraphConfig:
+ "split-descriptive-statistics": {
+ "input_type": "split",
+ "triggered_by": [
+ "config-split-names-from-info",
+ "config-split-names-from-streaming",
+ ],
+ "job_runner_version": PROCESSING_STEP_SPLIT_DESCRIPTIVE_STATISTICS_VERSION,
+ "difficulty": 70,
+ },
diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py
index 4f4a2ca1..aaf7b219 100644
--- a/libs/libcommon/src/libcommon/constants.py
+++ b/libs/libcommon/src/libcommon/constants.py
@@ -8,0 +9 @@ PARQUET_METADATA_CACHE_APPNAME = "datasets_server_parquet_metadata"
+DESCRIPTIVE_STATISTICS_CACHE_APPNAME = "datasets_server_descriptive_statistics"
@@ -43,0 +45 @@ PROCESSING_STEP_SPLIT_OPT_IN_OUT_URLS_COUNT_VERSION = 2
+PROCESSING_STEP_SPLIT_DESCRIPTIVE_STATISTICS_VERSION = 1
diff --git a/libs/libcommon/src/libcommon/exceptions.py b/libs/libcommon/src/libcommon/exceptions.py
index 623f85a4..5cb38fb3 100644
--- a/libs/libcommon/src/libcommon/exceptions.py
+++ b/libs/libcommon/src/libcommon/exceptions.py
@@ -77,0 +78 @@ CacheableErrorCode = Literal[
+ "ComputationError",
@@ -103,0 +105 @@ CacheableErrorCode = Literal[
+ "NoSupportedFeaturesError",
@@ -371,0 +374,7 @@ class NoIndexableColumnsError(CacheableError):
+class NoSupportedFeaturesError(CacheableError):
+ """Raised when dataset does not have any features which types are supported by a worker's processing pipeline."""
+
+ def __init__(self, message: str, cause: Optional[BaseException] = None):
+ super().__init__(message, HTTPStatus.NOT_IMPLEMENTED, "NoSupportedFeaturesError", cause, True)
+
+
@@ -505,0 +515,7 @@ class UnsupportedExternalFilesError(CacheableError):
+
+
+class StatisticsComputationError(CacheableError):
+ """Raised in case of unexpected behaviour / errors during statistics computations."""
+
+ def __init__(self, message: str, cause: Optional[BaseException] = None):
+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "ComputationError", cause, True)
diff --git a/libs/libcommon/src/libcommon/storage.py b/libs/libcommon/src/libcommon/storage.py
index 63d9c108..24e0b2b3 100644
--- a/libs/libcommon/src/libcommon/storage.py
+++ b/libs/libcommon/src/libcommon/storage.py
@@ -14,0 +15 @@ from libcommon.constants import (
+ DESCRIPTIVE_STATISTICS_CACHE_APPNAME,
@@ -98,0 +100,14 @@ def init_duckdb_index_cache_dir(directory: Optional[StrPath] = None) -> StrPath:
+def init_statistics_cache_dir(directory: Optional[StrPath] = None) -> StrPath:
+ """Initialize the cache directory for storage of a dataset in parquet format for statistics computations.
+
+ If directory is None, it will be set to the default cache location on the machine.
+
+ Args:
+ directory (Optional[Union[str, PathLike[str]]], optional): The directory to initialize. Defaults to None.
+
+ Returns:
+ Union[str, PathLike[str]]: The directory.
+ """
+ return init_dir(directory, appname=DESCRIPTIVE_STATISTICS_CACHE_APPNAME)
+
+
diff --git a/libs/libcommon/tests/test_processing_graph.py b/libs/libcommon/tests/test_processing_graph.py
index 639c2275..57949655 100644
--- a/libs/libcommon/tests/test_processing_graph.py
+++ b/libs/libcommon/tests/test_processing_graph.py
@@ -97,0 +98 @@ def graph() -> ProcessingGraph:
+ "split-descriptive-statistics",
@@ -108,0 +110 @@ def graph() -> ProcessingGraph:
+ "split-descriptive-statistics",
@@ -314,0 +317,12 @@ def graph() -> ProcessingGraph:
+ (
+ "split-descriptive-statistics",
+ [],
+ ["config-split-names-from-info", "config-split-names-from-streaming"],
+ [
+ "dataset-config-names",
+ "config-parquet-and-info",
+ "config-info",
+ "config-split-names-from-info",
+ "config-split-names-from-streaming",
+ ],
+ ),
diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py
index f9ff64bc..65cb0ac8 100644
--- a/services/api/src/api/config.py
+++ b/services/api/src/api/config.py
@@ -83,0 +84 @@ class EndpointConfig:
+ "/statistics": {"split": ["split-descriptive-statistics"]},
diff --git a/services/worker/README.md b/services/worker/README.md
index 17d6a5fa..d3a5edb0 100644
--- a/services/worker/README.md
+++ b/services/worker/README.md
@@ -94,0 +95,238 @@ Set environment variables to configure the `duckdb-index` worker (`DUCKDB_INDEX_
+### Descriptive statistics worker
+
+Set environment variables to configure the `descriptive-statistics` worker (`DESCRIPTIVE_STATISTICS_` prefix):
+
+- `DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY`: directory to which a dataset in parquet format is downloaded. Defaults to empty.
+- `DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS`: number of histogram bins (see examples below for more info).
+- `DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES`: maximum size in bytes of the dataset's parquet files to compute statistics. Datasets with bigger size are ignored. Defaults to `100_000_000`.
+
+#### How descriptive statistics are computed
+
+Descriptive statistics are currently computed for three types of data: categories (`ClassLabel` feature of the `datasets` library), `float` numbers and `int` numbers.
+Response has two fields: `num_examples` and `statistics`. `statistics` field is a list of dicts with three keys: `column_name`, `column_type` (has three values: `class_label`, `float` or `int`), and `column_statistics`.
+`column_statistics` content depends on the feature type.
+##### class_label
+
+<details><summary>example: </summary>
+<p>
+
+```python
+{
+ "column_name": "class_col",
+ "column_type": "class_label",
+ "column_statistics": {
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "n_unique": 5, # number of unique values
+ "frequencies": { # mapping value -> its count
+ "this": 19834,
+ "are": 20159,
+ "random": 20109,
+ "words": 20172,
+ "test": 19726
+ }
+ }
+}
+```
+</p>
+</details>
+
+##### float
+
+Bin size for histogram is counted as `(max_value - min_value) / DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS`
+
+<details><summary>example: </summary>
+<p>
+
+```python
+{
+ "column_name": "delay",
+ "column_type": "float",
+ "column_statistics": {
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "min": -10.206,
+ "max": 8.48053,
+ "mean": 2.10174,
+ "median": 3.4012,
+ "std": 3.12487,
+ "histogram": {
+ "hist": [
+ 2,
+ 34,
+ 256,
+ 15198,
+ 9037,
+ 2342,
+ 12743,
+ 45114,
+ 14904,
+ 370
+ ],
+ "bin_edges": [
+ -10.206,
+ -8.33734,
+ -6.46869,
+ -4.60004,
+ -2.73139,
+ -0.86273,
+ 1.00592,
+ 2.87457,
+ 4.74322,
+ 6.61188,
+ 8.48053 # includes maximum value, so len is always len(hist) + 1
+ ]
+ }
+ }
+}
+```
+</p>
+</details>
+
+##### int
+
+As bin edges for integer values also must be integers, bin size is counted as `np.ceil((max_value - min_value + 1) / DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS)`. Rounding up means that there might be smaller number of bins in response then provided `DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS`. The last bin's size might be smaller than that of the others if the feature's range is not divisible by the rounded bin size.
+
+<details><summary>examples: </summary>
+<p>
+
+```python
+{
+ "column_name": "direction",
+ "column_type": "int",
+ "column_statistics": {
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "min": 0,
+ "max": 1,
+ "mean": 0.49925,
+ "median": 0.0,
+ "std": 0.5,
+ "histogram": {
+ "hist": [
+ 50075,
+ 49925
+ ],
+ "bin_edges": [
+ 0,
+ 1,
+ 1 # if the last value is equal to the last but one, that means that this bin includes only this value
+ ]
+ }
+ }
+},
+{
+ "column_name": "hour",
+ "column_type": "int",
+ "column_statistics": {
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "min": 0,
+ "max": 23,
+ "mean": 13.44402,
+ "median": 14.0,
+ "std": 5.49455,
+ "histogram": {
+ "hist": [
+ 2694,
+ 2292,
+ 16785,
+ 16326,
+ 16346,
+ 17809,
+ 16546,
+ 11202
+ ],
+ "bin_edges": [
+ 0,
+ 3,
+ 6,
+ 9,
+ 12,
+ 15,
+ 18,
+ 21,
+ 23
+ ]
+ }
+ }
+},
+{
+ "column_name": "humidity",
+ "column_type": "int",
+ "column_statistics": {
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "min": 54,
+ "max": 99,
+ "mean": 83.89878,
+ "median": 85.0,
+ "std": 8.65174,
+ "histogram": {
+ "hist": [
+ 554,
+ 1662,
+ 3823,
+ 6532,
+ 12512,
+ 17536,
+ 23871,
+ 20355,
+ 12896,
+ 259
+ ],
+ "bin_edges": [
+ 54,
+ 59,
+ 64,
+ 69,
+ 74,
+ 79,
+ 84,
+ 89,
+ 94,
+ 99,
+ 99
+ ]
+ }
+ }
+},
+{
+ "column_name": "weekday",
+ "column_type": "int",
+ "column_statistics": {
+ "nan_count": 0,
+ "nan_proportion": 0.0,
+ "min": 0,
+ "max": 6,
+ "mean": 3.08063,
+ "median": 3.0,
+ "std": 1.90347,
+ "histogram": {
+ "hist": [
+ 10282,
+ 15416,
+ 15291,
+ 15201,
+ 15586,
+ 15226,
+ 12998
+ ],
+ "bin_edges": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 6
+ ]
+ }
+ }
+}
+```
+
+</p>
+</details>
+
diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py
index a52d55f5..a8876a7b 100644
--- a/services/worker/src/worker/config.py
+++ b/services/worker/src/worker/config.py
@@ -289,0 +290,27 @@ class DuckDbIndexConfig:
+DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY = None
+DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS = 10
+DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES = 100_000_000
+
+
+@dataclass(frozen=True)
+class DescriptiveStatisticsConfig:
+ cache_directory: Optional[str] = DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY
+ histogram_num_bins: int = DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS
+ max_parquet_size_bytes: int = DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES
+
+ @classmethod
+ def from_env(cls) -> "DescriptiveStatisticsConfig":
+ env = Env(expand_vars=True)
+ with env.prefixed("DESCRIPTIVE_STATISTICS_"):
+ return cls(
+ cache_directory=env.str(name="STORAGE_DIRECTORY", default=DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY),
+ histogram_num_bins=env.int(
+ name="HISTOGRAM_NUM_BINS",
+ default=DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS,
+ ),
+ max_parquet_size_bytes=env.int(
+ name="MAX_PARQUET_SIZE_BYTES", default=DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES
+ ),
+ )
+
+
@@ -306,0 +334 @@ class AppConfig:
+ descriptive_statistics: DescriptiveStatisticsConfig = field(default_factory=DescriptiveStatisticsConfig)
@@ -325,0 +354 @@ class AppConfig:
+ descriptive_statistics=DescriptiveStatisticsConfig.from_env(),
diff --git a/services/worker/src/worker/job_runner_factory.py b/services/worker/src/worker/job_runner_factory.py
index 493d7ba3..5fc6907d 100644
--- a/services/worker/src/worker/job_runner_factory.py
+++ b/services/worker/src/worker/job_runner_factory.py
@@ -36,0 +37,3 @@ from worker.job_runners.dataset.split_names import DatasetSplitNamesJobRunner
+from worker.job_runners.split.descriptive_statistics import (
+ SplitDescriptiveStatisticsJobRunner,
+)
@@ -77,0 +81 @@ class JobRunnerFactory(BaseJobRunnerFactory):
+ statistics_cache_directory: StrPath
@@ -219,0 +224,7 @@ class JobRunnerFactory(BaseJobRunnerFactory):
+ if job_type == SplitDescriptiveStatisticsJobRunner.get_job_type():
+ return SplitDescriptiveStatisticsJobRunner(
+ job_info=job_info,
+ app_config=self.app_config,
+ processing_step=processing_step,
+ statistics_cache_directory=self.statistics_cache_directory,
+ )
@@ -248,0 +260 @@ class JobRunnerFactory(BaseJobRunnerFactory):
+ SplitDescriptiveStatisticsJobRunner.get_job_type(),
diff --git a/services/worker/src/worker/job_runners/split/descriptive_statistics.py b/services/worker/src/worker/job_runners/split/descriptive_statistics.py
new file mode 100644
index 00000000..15548c9e
--- /dev/null
+++ b/services/worker/src/worker/job_runners/split/descriptive_statistics.py
@@ -0,0 +1,412 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+import enum
+import logging
+from pathlib import Path
+from typing import Dict, List, Optional, Tuple, TypedDict, Union
+
+import duckdb
+import numpy as np
+import pandas as pd
+from libcommon.constants import PROCESSING_STEP_SPLIT_DESCRIPTIVE_STATISTICS_VERSION
+from libcommon.exceptions import (
+ CacheDirectoryNotInitializedError,
+ NoSupportedFeaturesError,
+ ParquetResponseEmptyError,
+ PreviousStepFormatError,
+ SplitWithTooBigParquetError,
+ StatisticsComputationError,
+)
+from libcommon.processing_graph import ProcessingStep
+from libcommon.simple_cache import get_previous_step_or_raise
+from libcommon.storage import StrPath
+from libcommon.utils import JobInfo
+from tqdm import tqdm
+
+from worker.config import AppConfig, DescriptiveStatisticsConfig
+from worker.dtos import CompleteJobResult
+from worker.job_runners.split.split_job_runner import SplitJobRunnerWithCache
+from worker.utils import check_split_exists
+
+PARQUET_FILENAME = "dataset.parquet"
+
+DECIMALS = 5
+
+INTEGER_DTYPES = ["int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64"]
+FLOAT_DTYPES = ["float16", "float32", "float64"]
+NUMERICAL_DTYPES = INTEGER_DTYPES + FLOAT_DTYPES
+
+
+COPY_PARQUET_DATA_COMMAND = """
+COPY (SELECT * FROM read_parquet({parquet_files_urls})) TO '{local_parquet_path}' (FORMAT PARQUET);
+"""
+COMPUTE_NAN_COUNTS_COMMAND = """
+ SELECT COUNT(*) FROM read_parquet('{parquet_filename}') WHERE {column_name} IS NULL;
+"""
+COMPUTE_CATEGORIES_COUNTS_COMMAND = """
+ SELECT {column_name}, COUNT(*) FROM read_parquet('{parquet_filename}') GROUP BY {column_name};
+"""
+COMPUTE_MIN_MAX_MEAN_MEDIAN_STD_COMMAND = """
+ SELECT min({column_name}), max({column_name}), mean({column_name}),
+ median({column_name}), stddev_samp({column_name}) FROM read_parquet('{parquet_filename}');
+"""
+COMPUTE_HIST_COMMAND = """
+ SELECT bin_id, COUNT(*) as count FROM read_parquet('{parquet_filename}')
+ JOIN bins ON ({column_name} >= bin_min AND {column_name} < bin_max) GROUP BY bin_id;
+""" # `bins` is the name of preinjected table with bin edges data
+
+
+class ColumnType(str, enum.Enum):
+ FLOAT = "float"
+ INT = "int"
+ CLASS_LABEL = "class_label"
+
+
+class Histogram(TypedDict):
+ hist: List[int]
+ bin_edges: List[float]
+
+
+class NumericalStatisticsItem(TypedDict):
+ nan_count: int
+ nan_proportion: float
+ min: float
+ max: float
+ mean: float
+ median: float
+ std: float
+ histogram: Histogram
+
+
+class CategoricalStatisticsItem(TypedDict):
+ nan_count: int
+ nan_proportion: float
+ n_unique: int
+ frequencies: Dict[str, int]
+
+
+class StatisticsPerColumnItem(TypedDict):
+ column_name: str
+ column_type: ColumnType
+ column_statistics: Union[NumericalStatisticsItem, CategoricalStatisticsItem]
+
+
+class SplitDescriptiveStatisticsResponse(TypedDict):
+ num_examples: int
+ statistics: List[StatisticsPerColumnItem]
+
+
+def generate_bins(
+ min_value: Union[int, float],
+ max_value: Union[int, float],
+ column_type: ColumnType,
+ n_bins: int,
+) -> pd.DataFrame:
+ """
+ Returns:
+ pandas.DataFrame with bin edges to insert into database to perform histogram computation with duckdb
+ """
+ if column_type is ColumnType.FLOAT:
+ bin_size = (max_value - min_value) / n_bins
+ bin_edges = np.arange(min_value, max_value, bin_size).astype(float).tolist()
+ if len(bin_edges) != n_bins:
+ raise StatisticsComputationError(
+ f"Incorrect number of bins generated, expected {n_bins}, got {len(bin_edges)}."
+ )
+ elif column_type is ColumnType.INT:
+ bin_size = np.ceil((max_value - min_value + 1) / n_bins)
+ bin_edges = np.arange(min_value, max_value + 1, bin_size).astype(int).tolist()
+ if len(bin_edges) > n_bins:
+ raise StatisticsComputationError(
+ f"Incorrect number of bins generated, expected {n_bins}, got {len(bin_edges)}."
+ )
+ else:
+ raise ValueError(f"Incorrect column type {column_type}. ")
+ bin_max_edges = bin_edges[1:] + [max_value + 1] # add 1 to include exact max values in the last bin
+ return pd.DataFrame.from_dict(
+ {"bin_id": list(range(len(bin_edges))), "bin_min": bin_edges, "bin_max": bin_max_edges}
+ )
+
+
+def compute_histogram(
+ con: duckdb.DuckDBPyConnection,
+ column_name: str,
+ parquet_filename: Path,
+ column_type: ColumnType,
+ min_value: Union[int, float],
+ max_value: Union[int, float],
+ n_bins: int,
+ n_samples: Optional[int] = None,
+) -> Histogram:
+ bins_df = generate_bins(min_value=min_value, max_value=max_value, column_type=column_type, n_bins=n_bins)
+ n_bins = bins_df.shape[0]
+ con.sql("CREATE OR REPLACE TEMPORARY TABLE bins AS SELECT * from bins_df")
+ compute_hist_command = COMPUTE_HIST_COMMAND.format(parquet_filename=parquet_filename, column_name=column_name)
+ logging.debug(f"Compute histogram for {column_name}")
+ # query returns list of tuples (bin_id, bin_max, n_count):
+ hist_query_result = dict(con.sql(compute_hist_command).fetchall()) # dict bin_id -> n_samples
+ if len(hist_query_result) > n_bins + 1:
+ raise StatisticsComputationError(
+ "Got unexpected result during histogram computation: returned more bins than requested. "
+ f"{n_bins=} {hist_query_result=}. "
+ )
+ hist = []
+ for bin_idx in range(n_bins):
+ # no key in query result = no examples in this range, so we put 0
+ hist.append(hist_query_result.get(bin_idx, 0))
+ if n_samples and sum(hist) != n_samples:
+ raise StatisticsComputationError(
+ "Got unexpected result during histogram computation: histogram sum and number of non-null samples don't"
+ f" match. histogram sum={sum(hist)}, {n_samples=}"
+ )
+ bins = bins_df["bin_min"].round(DECIMALS).tolist()
+ bins = bins + [np.round(max_value, DECIMALS).item()] # put exact max value back to bins
+ return Histogram(hist=hist, bin_edges=bins)
+
+
+def compute_numerical_statistics(
+ con: duckdb.DuckDBPyConnection,
+ column_name: str,
+ parquet_filename: Path,
+ n_bins: int,
+ n_samples: int,
+ column_type: ColumnType,
+) -> NumericalStatisticsItem:
+ logging.debug(f"Compute min, max, mean, median, std and proportion of null values for {column_name}")
+ min_max_mean_median_std_command = COMPUTE_MIN_MAX_MEAN_MEDIAN_STD_COMMAND.format(
+ column_name=column_name, parquet_filename=parquet_filename
+ )
+ minimum, maximum, mean, median, std = con.sql(min_max_mean_median_std_command).fetchall()[0]
+ logging.debug(f"{minimum=}, {maximum=}, {mean=}, {median=}, {std=}")
+
+ nan_count_command = COMPUTE_NAN_COUNTS_COMMAND.format(column_name=column_name, parquet_filename=parquet_filename)
+ nan_count = con.sql(nan_count_command).fetchall()[0][0]
+ nan_proportion = np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0
+ logging.debug(f"{nan_count=} {nan_proportion=}")
+ histogram = compute_histogram(
+ con,
+ column_name,
+ parquet_filename,
+ min_value=minimum,
+ max_value=maximum,
+ column_type=column_type,
+ n_bins=n_bins,
+ n_samples=n_samples - nan_count,
+ )
+ if column_type == ColumnType.FLOAT:
+ minimum, maximum, mean, median, std = np.round([minimum, maximum, mean, median, std], DECIMALS).tolist()
+ elif column_type == ColumnType.INT:
+ mean, median, std = np.round([mean, median, std], DECIMALS).tolist()
+ else:
+ raise ValueError(f"Incorrect column type {column_type}")
+ return NumericalStatisticsItem(
+ nan_count=nan_count,
+ nan_proportion=nan_proportion,
+ min=minimum,
+ max=maximum,
+ mean=mean,
+ median=median,
+ std=std,
+ histogram=histogram,
+ )
+
+
+def compute_categorical_statistics(
+ con: duckdb.DuckDBPyConnection,
+ column_name: str,
+ parquet_filename: Path,
+ class_label_names: List[str],
+ n_samples: int,
+) -> CategoricalStatisticsItem:
+ categorical_counts_query = COMPUTE_CATEGORIES_COUNTS_COMMAND.format(
+ column_name=column_name, parquet_filename=parquet_filename
+ )
+ categories: List[Tuple[int, int]] = con.sql(
+ categorical_counts_query
+ ).fetchall() # list of tuples (idx, num_samples)
+
+ logging.debug(f"Statistics for {column_name} computed")
+ frequencies, nan_count = {}, 0
+ for cat_id, freq in categories:
+ if cat_id is not None:
+ frequencies[class_label_names[cat_id]] = freq
+ else:
+ nan_count = freq
+ nan_proportion = np.round(nan_count / n_samples, DECIMALS).item() if nan_count != 0 else 0.0
+ return CategoricalStatisticsItem(
+ nan_count=nan_count,
+ nan_proportion=nan_proportion,
+ n_unique=len(categories) - 1 if nan_count else len(categories),
+ frequencies=frequencies,
+ )
+
+
+def compute_descriptive_statistics_response(
+ dataset: str,
+ config: str,
+ split: str,
+ local_parquet_directory: Path,
+ histogram_num_bins: int,
+ max_parquet_size_bytes: int,
+) -> SplitDescriptiveStatisticsResponse:
+ logging.info(f"Compute descriptive statistics for {dataset=}, {config=}, {split=}")
+ check_split_exists(dataset=dataset, config=config, split=split)
+
+ config_parquet_and_info_step = "config-parquet-and-info"
+ parquet_and_info_best_response = get_previous_step_or_raise(
+ kinds=[config_parquet_and_info_step],
+ dataset=dataset,
+ config=config,
+ )
+ content_parquet_and_info = parquet_and_info_best_response.response["content"]
+ try:
+ split_parquet_files = [
+ parquet_file
+ for parquet_file in content_parquet_and_info["parquet_files"]
+ if parquet_file["config"] == config and parquet_file["split"] == split
+ ]
+ dataset_info = content_parquet_and_info["dataset_info"]
+ except KeyError as e:
+ raise PreviousStepFormatError(
+ (
+ f"Previous step '{config_parquet_and_info_step}' did not return the expected content: "
+ "'parquet_files' or 'dataset_info'. "
+ ),
+ e,
+ ) from e
+
+ if not split_parquet_files:
+ raise ParquetResponseEmptyError("No parquet files found.")
+ features = dataset_info.get("features")
+ if not features:
+ raise PreviousStepFormatError(
+ f"Previous step '{config_parquet_and_info_step}' did not return the expected content: "
+ "no features found in 'dataset_info'. "
+ )
+
+ split_parquets_size = sum(parquet_file["size"] for parquet_file in split_parquet_files)
+ if split_parquets_size > max_parquet_size_bytes:
+ raise SplitWithTooBigParquetError(
+ f"Statistics computation is limited to split parquets under {max_parquet_size_bytes} bytes. "
+ f"Current size of sum of split parquets is {split_parquets_size} bytes."
+ )
+ parquet_files_urls = [parquet_file["url"] for parquet_file in split_parquet_files]
+
+ stats: List[StatisticsPerColumnItem] = []
+ num_examples = dataset_info["splits"][split]["num_examples"]
+ categorical_features = {
+ feature_name: feature for feature_name, feature in features.items() if feature.get("_type") == "ClassLabel"
+ }
+ numerical_features = {
+ feature_name: feature
+ for feature_name, feature in features.items()
+ if feature.get("_type") == "Value" and feature.get("dtype") in NUMERICAL_DTYPES
+ }
+ if not categorical_features and not numerical_features:
+ raise NoSupportedFeaturesError(
+ "No columns for statistics computation found. Currently supported feature types are: "
+ f"{NUMERICAL_DTYPES} and ClassLabel. "
+ )
+
+ con = duckdb.connect(":memory:") # we don't load data in local db file, use local parquet file instead
+ # configure duckdb extensions
+ con.sql(f"SET extension_directory='{local_parquet_directory}';")
+ con.sql("INSTALL httpfs")
+ con.sql("LOAD httpfs")
+ con.sql("SET enable_progress_bar=true;")
+
+ # store data as local parquet file for fast querying
+ local_parquet_path = (
+ Path(local_parquet_directory) / PARQUET_FILENAME if local_parquet_directory else Path(PARQUET_FILENAME)
+ )
+ logging.info(f"Downloading remote data to a local parquet file {local_parquet_path}. ")
+ con.sql(
+ COPY_PARQUET_DATA_COMMAND.format(parquet_files_urls=parquet_files_urls, local_parquet_path=local_parquet_path)
+ )
+
+ # compute for ClassLabels (we are sure that these are discrete categories)
+ if categorical_features:
+ logging.info(f"Compute statistics for categorical columns {categorical_features}")
+ for feature_name, feature in tqdm(categorical_features.items()):
+ logging.debug(f"Compute statistics for ClassLabel feature {feature_name}")
+ class_label_names = feature["names"]
+ cat_column_stats: CategoricalStatisticsItem = compute_categorical_statistics(
+ con,
+ feature_name,
+ class_label_names=class_label_names,
+ n_samples=num_examples,
+ parquet_filename=local_parquet_path,
+ )
+ stats.append(
+ StatisticsPerColumnItem(
+ column_name=feature_name,
+ column_type=ColumnType.CLASS_LABEL,
+ column_statistics=cat_column_stats,
+ )
+ )
+
+ if numerical_features:
+ logging.info(f"Compute min, max, mean, median, std, histogram for numerical columns {numerical_features}. ")
+ for feature_name, feature in tqdm(numerical_features.items()):
+ column_type = ColumnType.FLOAT if feature["dtype"] in FLOAT_DTYPES else ColumnType.INT
+ num_column_stats: NumericalStatisticsItem = compute_numerical_statistics(
+ con,
+ feature_name,
+ parquet_filename=local_parquet_path,
+ n_bins=histogram_num_bins,
+ n_samples=num_examples,
+ column_type=column_type,
+ )
+ stats.append(
+ StatisticsPerColumnItem(
+ column_name=feature_name,
+ column_type=column_type,
+ column_statistics=num_column_stats,
+ )
+ )
+ con.close()
+
+ return SplitDescriptiveStatisticsResponse(
+ num_examples=num_examples, statistics=sorted(stats, key=lambda x: x["column_name"])
+ )
+
+
+class SplitDescriptiveStatisticsJobRunner(SplitJobRunnerWithCache):
+ descriptive_statistics_config: DescriptiveStatisticsConfig
+
+ def __init__(
+ self,
+ job_info: JobInfo,
+ app_config: AppConfig,
+ processing_step: ProcessingStep,
+ statistics_cache_directory: StrPath,
+ ):
+ super().__init__(
+ job_info=job_info,
+ app_config=app_config,
+ processing_step=processing_step,
+ cache_directory=Path(statistics_cache_directory),
+ )
+ self.descriptive_statistics_config = app_config.descriptive_statistics
+
+ @staticmethod
+ def get_job_type() -> str:
+ return "split-descriptive-statistics"
+
+ @staticmethod
+ def get_job_runner_version() -> int:
+ return PROCESSING_STEP_SPLIT_DESCRIPTIVE_STATISTICS_VERSION
+
+ def compute(self) -> CompleteJobResult:
+ if self.cache_subdirectory is None:
+ raise CacheDirectoryNotInitializedError("Cache directory has not been initialized.")
+ return CompleteJobResult(
+ compute_descriptive_statistics_response(
+ dataset=self.dataset,
+ config=self.config,
+ split=self.split,
+ local_parquet_directory=self.cache_subdirectory,
+ histogram_num_bins=self.descriptive_statistics_config.histogram_num_bins,
+ max_parquet_size_bytes=self.descriptive_statistics_config.max_parquet_size_bytes,
+ )
+ )
diff --git a/services/worker/src/worker/job_runners/split/duckdb_index.py b/services/worker/src/worker/job_runners/split/duckdb_index.py
index 26ff821b..c452850c 100644
--- a/services/worker/src/worker/job_runners/split/duckdb_index.py
+++ b/services/worker/src/worker/job_runners/split/duckdb_index.py
@@ -26 +25,0 @@ from libcommon.exceptions import (
- SplitNotFoundError,
@@ -40,0 +40 @@ from worker.utils import (
+ check_split_exists,
@@ -74,12 +74 @@ def compute_index_rows(
-
- # validate split
- split_names_best_response = get_previous_step_or_raise(
- kinds=["config-split-names-from-streaming", "config-split-names-from-info"], dataset=dataset, config=config
- )
- try:
- splits_content = split_names_best_response.response["content"]["splits"]
- except Exception as e:
- raise PreviousStepFormatError("Previous step did not return the expected content.", e) from e
-
- if split not in [split_item["split"] for split_item in splits_content]:
- raise SplitNotFoundError(f"The split '{split}' does not exist for the config '{config}' of the dataset.")
+ check_split_exists(dataset=dataset, config=config, split=split)
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
index 4ae1ec0b..79c1068e 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
@@ -23 +22,0 @@ from libcommon.exceptions import (
- PreviousStepFormatError,
@@ -25 +23,0 @@ from libcommon.exceptions import (
- SplitNotFoundError,
@@ -30 +27,0 @@ from libcommon.processing_graph import ProcessingStep
-from libcommon.simple_cache import get_previous_step_or_raise
@@ -38 +35,6 @@ from worker.job_runners.split.split_job_runner import SplitJobRunnerWithDatasets
-from worker.utils import create_truncated_row_items, get_json_size, get_rows_or_raise
+from worker.utils import (
+ check_split_exists,
+ create_truncated_row_items,
+ get_json_size,
+ get_rows_or_raise,
+)
@@ -143,10 +145 @@ def compute_first_rows_response(
- split_names_best_response = get_previous_step_or_raise(
- kinds=["config-split-names-from-streaming", "config-split-names-from-info"], dataset=dataset, config=config
- )
- try:
- splits_content = split_names_best_response.response["content"]["splits"]
- except Exception as e:
- raise PreviousStepFormatError("Previous step did not return the expected content.", e) from e
-
- if split not in [split_item["split"] for split_item in splits_content]:
- raise SplitNotFoundError(f"The split '{split}' does not exist for the config '{config}' of the dataset.")
+ check_split_exists(dataset=dataset, config=config, split=split)
diff --git a/services/worker/src/worker/main.py b/services/worker/src/worker/main.py
index 4d207280..1a6f3a13 100644
--- a/services/worker/src/worker/main.py
+++ b/services/worker/src/worker/main.py
@@ -12,0 +13 @@ from libcommon.storage import (
+ init_statistics_cache_dir,
@@ -34,0 +36 @@ if __name__ == "__main__":
+ statistics_cache_directory = init_statistics_cache_dir(app_config.descriptive_statistics.cache_directory)
@@ -62,0 +65 @@ if __name__ == "__main__":
+ statistics_cache_directory=statistics_cache_directory,
diff --git a/services/worker/src/worker/start_worker_loop.py b/services/worker/src/worker/start_worker_loop.py
index d5e69a82..a94cbb9e 100644
--- a/services/worker/src/worker/start_worker_loop.py
+++ b/services/worker/src/worker/start_worker_loop.py
@@ -12,0 +13 @@ from libcommon.storage import (
+ init_statistics_cache_dir,
@@ -33,0 +35 @@ if __name__ == "__main__":
+ statistics_cache_directory = init_statistics_cache_dir(app_config.descriptive_statistics.cache_directory)
@@ -61,0 +64 @@ if __name__ == "__main__":
+ statistics_cache_directory=statistics_cache_directory,
diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py
index 93eca415..0d5087e4 100644
--- a/services/worker/src/worker/utils.py
+++ b/services/worker/src/worker/utils.py
@@ -32,0 +33,2 @@ from libcommon.exceptions import (
+ PreviousStepFormatError,
+ SplitNotFoundError,
@@ -34,0 +37 @@ from libcommon.exceptions import (
+from libcommon.simple_cache import get_previous_step_or_raise
@@ -329,0 +333,23 @@ def create_branch(dataset: str, target_revision: str, hf_api: HfApi, committer_h
+
+
+def check_split_exists(dataset: str, config: str, split: str) -> None:
+ """
+ Check if dataset has a provided split in a provided config. Dataset's splits are taken from the best response
+ of 'config-split-names-from-streaming' and 'config-split-names-from-info' steps' cache.
+ """
+ split_names_best_response = get_previous_step_or_raise(
+ kinds=["config-split-names-from-streaming", "config-split-names-from-info"], dataset=dataset, config=config
+ )
+ try:
+ splits_content = split_names_best_response.response["content"]["splits"]
+ except Exception as e:
+ raise PreviousStepFormatError(
+ (
+ "Previous steps 'config-split-names-from-streaming' and 'config-split-names-from-info did not return"
+ " the expected content."
+ ),
+ e,
+ ) from e
+
+ if split not in [split_item["split"] for split_item in splits_content]:
+ raise SplitNotFoundError(f"Split '{split}' does not exist for the config '{config}' of the dataset.")
diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py
index fab26487..45336f41 100644
--- a/services/worker/tests/conftest.py
+++ b/services/worker/tests/conftest.py
@@ -15,0 +16 @@ from libcommon.storage import (
+ init_statistics_cache_dir,
@@ -45,0 +47,5 @@ def worker_state_file_path(tmp_path: Path) -> str:
+@fixture
+def statistics_cache_directory(app_config: AppConfig) -> StrPath:
+ return init_statistics_cache_dir(app_config.descriptive_statistics.cache_directory)
+
+
@@ -70,0 +77 @@ def set_env_vars(
+ mp.setenv("DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES", "10_000")
diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py
index 7e7a28ff..6c006936 100644
--- a/services/worker/tests/fixtures/datasets.py
+++ b/services/worker/tests/fixtures/datasets.py
@@ -169,0 +170,242 @@ def datasets() -> Mapping[str, Dataset]:
+ "descriptive_statistics": Dataset.from_dict(
+ {
+ "int_column": [0, 0, 1, 1, 2, 2, 2, 3, 4, 4, 5, 5, 5, 5, 5, 6, 7, 8, 8, 8],
+ "int_nan_column": [0, None, 1, None, 2, None, 2, None, 4, None, 5, None, 5, 5, 5, 6, 7, 8, 8, 8],
+ "float_column": [
+ 0.1,
+ 0.2,
+ 0.3,
+ 0.4,
+ 0.5,
+ 1.1,
+ 2.2,
+ 2.3,
+ 2.6,
+ 4.7,
+ 5.1,
+ 6.2,
+ 6.7,
+ 6.8,
+ 7.0,
+ 8.3,
+ 8.4,
+ 9.2,
+ 9.7,
+ 9.9,
+ ],
+ "float_nan_column": [
+ None,
+ 0.2,
+ 0.3,
+ None,
+ 0.5,
+ None,
+ 2.2,
+ None,
+ 2.6,
+ 4.7,
+ 5.1,
+ None,
+ None,
+ None,
+ None,
+ 8.3,
+ 8.4,
+ 9.2,
+ 9.7,
+ 9.9,
+ ],
+ "class_label_column": [
+ "cat",
+ "dog",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "dog",
+ "cat",
+ "dog",
+ "cat",
+ ],
+ "class_label_nan_column": [
+ "cat",
+ None,
+ "cat",
+ "cat",
+ "cat",
+ None,
+ "cat",
+ "cat",
+ "cat",
+ None,
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "cat",
+ "dog",
+ "cat",
+ None,
+ "cat",
+ ],
+ "float_negative_column": [
+ -7.221,
+ -5.333,
+ -15.154,
+ -15.392,
+ -15.054,
+ -10.176,
+ -10.072,
+ -10.59,
+ -6.0,
+ -14.951,
+ -14.054,
+ -9.706,
+ -7.053,
+ -10.072,
+ -15.054,
+ -12.777,
+ -12.233,
+ -13.54,
+ -14.376,
+ -15.754,
+ ],
+ "float_cross_zero_column": [
+ -7.221,
+ -5.333,
+ -15.154,
+ -15.392,
+ -15.054,
+ -10.176,
+ -10.072,
+ -10.59,
+ 6.0,
+ 14.951,
+ 14.054,
+ -9.706,
+ 7.053,
+ 0.0,
+ -15.054,
+ -12.777,
+ 12.233,
+ 13.54,
+ -14.376,
+ 15.754,
+ ],
+ "float_large_values_column": [
+ 1101.34567,
+ 1178.923,
+ 197.2134,
+ 1150.8483,
+ 169.907655,
+ 156.4580,
+ 134.4368456,
+ 189.456,
+ 145.0912,
+ 148.354465,
+ 190.8943,
+ 1134.34,
+ 155.22366,
+ 153.0,
+ 163.0,
+ 143.5468,
+ 177.231,
+ 132.568,
+ 191.99,
+ 1114.0,
+ ],
+ "int_negative_column": [
+ -10,
+ -9,
+ -8,
+ -1,
+ -5,
+ -1,
+ -2,
+ -3,
+ -5,
+ -4,
+ -7,
+ -8,
+ -11,
+ -15,
+ -20 - 11,
+ -1,
+ -14,
+ -11,
+ -0,
+ -10,
+ ],
+ "int_cross_zero_column": [
+ -10,
+ -9,
+ -8,
+ 0,
+ 0,
+ 1,
+ 2,
+ -3,
+ -5,
+ 4,
+ 7,
+ 8,
+ 11,
+ 15,
+ 20 - 11,
+ -1,
+ 14,
+ 11,
+ 0,
+ -10,
+ ],
+ "int_large_values_column": [
+ 1101,
+ 1178,
+ 197,
+ 1150,
+ 169,
+ 156,
+ 134,
+ 189,
+ 145,
+ 148,
+ 190,
+ 1134,
+ 155,
+ 153,
+ 163,
+ 143,
+ 177,
+ 132,
+ 191,
+ 1114,
+ ],
+ },
+ features=Features(
+ {
+ "int_column": Value("int32"),
+ "int_nan_column": Value("int32"),
+ "int_negative_column": Value("int32"),
+ "int_cross_zero_column": Value("int32"),
+ "int_large_values_column": Value("int32"),
+ "float_column": Value("float32"),
+ "float_nan_column": Value("float32"),
+ "float_negative_column": Value("float64"),
+ "float_cross_zero_column": Value("float32"),
+ "float_large_values_column": Value("float32"),
+ "class_label_column": ClassLabel(names=["cat", "dog"]),
+ "class_label_nan_column": ClassLabel(names=["cat", "dog"]),
+ }
+ ),
+ ),
diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py
index b436e496..30c03b2a 100644
--- a/services/worker/tests/fixtures/hub.py
+++ b/services/worker/tests/fixtures/hub.py
@@ -290,0 +291,7 @@ def hub_public_duckdb_index(datasets: Mapping[str, Dataset]) -> Iterator[str]:
[email protected](scope="session")
+def hub_public_descriptive_statistics(datasets: Mapping[str, Dataset]) -> Iterator[str]:
+ repo_id = create_hub_dataset_repo(prefix="descriptive_statistics", dataset=datasets["descriptive_statistics"])
+ yield repo_id
+ delete_hub_dataset_repo(repo_id=repo_id)
+
+
@@ -628 +635 @@ SPAWNING_OPT_IN_OUT_rows = ["http://testurl.test/test_image.jpg", "http://testur
-def hub_reponses_does_not_exist() -> HubDatasetTest:
+def hub_responses_does_not_exist() -> HubDatasetTest:
@@ -639 +646 @@ def hub_reponses_does_not_exist() -> HubDatasetTest:
-def hub_reponses_does_not_exist_config() -> HubDatasetTest:
+def hub_responses_does_not_exist_config() -> HubDatasetTest:
@@ -650 +657 @@ def hub_reponses_does_not_exist_config() -> HubDatasetTest:
-def hub_reponses_does_not_exist_split() -> HubDatasetTest:
+def hub_responses_does_not_exist_split() -> HubDatasetTest:
@@ -661 +668 @@ def hub_reponses_does_not_exist_split() -> HubDatasetTest:
-def hub_reponses_empty(hub_public_empty: str) -> HubDatasetTest:
+def hub_responses_empty(hub_public_empty: str) -> HubDatasetTest:
@@ -683 +690 @@ def hub_responses_public(hub_public_csv: str) -> HubDatasetTest:
-def hub_reponses_private(hub_private_csv: str) -> HubDatasetTest:
+def hub_responses_private(hub_private_csv: str) -> HubDatasetTest:
@@ -694 +701 @@ def hub_reponses_private(hub_private_csv: str) -> HubDatasetTest:
-def hub_reponses_gated(hub_gated_csv: str) -> HubDatasetTest:
+def hub_responses_gated(hub_gated_csv: str) -> HubDatasetTest:
@@ -716 +723 @@ def hub_reponses_jsonl(hub_public_jsonl: str) -> HubDatasetTest:
-def hub_reponses_audio(hub_public_audio: str) -> HubDatasetTest:
+def hub_responses_audio(hub_public_audio: str) -> HubDatasetTest:
@@ -729 +736 @@ def hub_reponses_audio(hub_public_audio: str) -> HubDatasetTest:
-def hub_reponses_image(hub_public_image: str) -> HubDatasetTest:
+def hub_responses_image(hub_public_image: str) -> HubDatasetTest:
@@ -742 +749 @@ def hub_reponses_image(hub_public_image: str) -> HubDatasetTest:
-def hub_reponses_images_list(hub_public_images_list: str) -> HubDatasetTest:
+def hub_responses_images_list(hub_public_images_list: str) -> HubDatasetTest:
@@ -755 +762 @@ def hub_reponses_images_list(hub_public_images_list: str) -> HubDatasetTest:
-def hub_reponses_big(hub_public_big: str) -> HubDatasetTest:
+def hub_responses_big(hub_public_big: str) -> HubDatasetTest:
@@ -766 +773 @@ def hub_reponses_big(hub_public_big: str) -> HubDatasetTest:
-def hub_reponses_big_no_info(hub_public_big_no_info: str) -> HubDatasetTest:
+def hub_responses_big_no_info(hub_public_big_no_info: str) -> HubDatasetTest:
@@ -779 +786 @@ def hub_reponses_big_no_info(hub_public_big_no_info: str) -> HubDatasetTest:
-def hub_reponses_big_csv(hub_public_big_csv: str) -> HubDatasetTest:
+def hub_responses_big_csv(hub_public_big_csv: str) -> HubDatasetTest:
@@ -792 +799 @@ def hub_reponses_big_csv(hub_public_big_csv: str) -> HubDatasetTest:
-def hub_reponses_external_files(hub_public_external_files: str) -> HubDatasetTest:
+def hub_responses_external_files(hub_public_external_files: str) -> HubDatasetTest:
@@ -803 +810 @@ def hub_reponses_external_files(hub_public_external_files: str) -> HubDatasetTes
-def hub_reponses_spawning_opt_in_out(hub_public_spawning_opt_in_out: str) -> HubDatasetTest:
+def hub_responses_spawning_opt_in_out(hub_public_spawning_opt_in_out: str) -> HubDatasetTest:
@@ -825,0 +833,11 @@ def hub_responses_duckdb_index(hub_public_duckdb_index: str) -> HubDatasetTest:
+
+
[email protected]
+def hub_responses_descriptive_statistics(hub_public_descriptive_statistics: str) -> HubDatasetTest:
+ return {
+ "name": hub_public_descriptive_statistics,
+ "config_names_response": create_config_names_response(hub_public_descriptive_statistics),
+ "splits_response": create_splits_response(hub_public_descriptive_statistics),
+ "first_rows_response": None,
+ "parquet_and_info_response": None,
+ }
diff --git a/services/worker/tests/job_runners/config/test_parquet_and_info.py b/services/worker/tests/job_runners/config/test_parquet_and_info.py
index 603fe004..247f754e 100644
--- a/services/worker/tests/job_runners/config/test_parquet_and_info.py
+++ b/services/worker/tests/job_runners/config/test_parquet_and_info.py
@@ -357 +357 @@ def test_supported_if_big_parquet(
- hub_reponses_big: HubDatasetTest,
+ hub_responses_big: HubDatasetTest,
@@ -362,2 +362,2 @@ def test_supported_if_big_parquet(
- dataset = hub_reponses_big["name"]
- config = hub_reponses_big["config_names_response"]["config_names"][0]["config"]
+ dataset = hub_responses_big["name"]
+ config = hub_responses_big["config_names_response"]["config_names"][0]["config"]
@@ -368 +368 @@ def test_supported_if_big_parquet(
- content=hub_reponses_big["config_names_response"],
+ content=hub_responses_big["config_names_response"],
@@ -376 +376 @@ def test_supported_if_big_parquet(
- assert_content_is_equal(content, hub_reponses_big["parquet_and_info_response"])
+ assert_content_is_equal(content, hub_responses_big["parquet_and_info_response"])
@@ -382 +382 @@ def test_partially_converted_if_big_non_parquet(
- hub_reponses_big_csv: HubDatasetTest,
+ hub_responses_big_csv: HubDatasetTest,
@@ -386,2 +386,2 @@ def test_partially_converted_if_big_non_parquet(
- dataset = hub_reponses_big_csv["name"]
- config = hub_reponses_big_csv["config_names_response"]["config_names"][0]["config"]
+ dataset = hub_responses_big_csv["name"]
+ config = hub_responses_big_csv["config_names_response"]["config_names"][0]["config"]
@@ -392 +392 @@ def test_partially_converted_if_big_non_parquet(
- content=hub_reponses_big_csv["config_names_response"],
+ content=hub_responses_big_csv["config_names_response"],
@@ -405 +405 @@ def test_partially_converted_if_big_non_parquet(
- assert_content_is_equal(content, hub_reponses_big_csv["parquet_and_info_response"])
+ assert_content_is_equal(content, hub_responses_big_csv["parquet_and_info_response"])
@@ -414 +414 @@ def test_supported_if_gated(
- hub_reponses_gated: HubDatasetTest,
+ hub_responses_gated: HubDatasetTest,
@@ -417,2 +417,2 @@ def test_supported_if_gated(
- dataset = hub_reponses_gated["name"]
- config = hub_reponses_gated["config_names_response"]["config_names"][0]["config"]
+ dataset = hub_responses_gated["name"]
+ config = hub_responses_gated["config_names_response"]["config_names"][0]["config"]
@@ -423 +423 @@ def test_supported_if_gated(
- content=hub_reponses_gated["config_names_response"],
+ content=hub_responses_gated["config_names_response"],
@@ -458,2 +458,2 @@ def test_compute_splits_response_simple_csv_ok(
- hub_reponses_audio: HubDatasetTest,
- hub_reponses_gated: HubDatasetTest,
+ hub_responses_audio: HubDatasetTest,
+ hub_responses_gated: HubDatasetTest,
@@ -465 +465 @@ def test_compute_splits_response_simple_csv_ok(
- hub_datasets = {"public": hub_responses_public, "audio": hub_reponses_audio, "gated": hub_reponses_gated}
+ hub_datasets = {"public": hub_responses_public, "audio": hub_responses_audio, "gated": hub_responses_gated}
@@ -504 +504 @@ def test_compute_splits_response_simple_csv_error(
- hub_reponses_private: HubDatasetTest,
+ hub_responses_private: HubDatasetTest,
@@ -511,2 +511,2 @@ def test_compute_splits_response_simple_csv_error(
- dataset = hub_reponses_private["name"]
- config_names_response = hub_reponses_private["config_names_response"]
+ dataset = hub_responses_private["name"]
+ config_names_response = hub_responses_private["config_names_response"]
@@ -518 +518 @@ def test_compute_splits_response_simple_csv_error(
- content=hub_reponses_private["config_names_response"],
+ content=hub_responses_private["config_names_response"],
@@ -949 +949 @@ def test_fill_builder_info(
- hub_reponses_big: HubDatasetTest,
+ hub_responses_big: HubDatasetTest,
@@ -955 +955 @@ def test_fill_builder_info(
- name = hub_reponses_big["name"]
+ name = hub_responses_big["name"]
@@ -966 +966 @@ def test_fill_builder_info(
- expected_info = hub_reponses_big["parquet_and_info_response"]["dataset_info"]
+ expected_info = hub_responses_big["parquet_and_info_response"]["dataset_info"]
diff --git a/services/worker/tests/job_runners/config/test_split_names_from_streaming.py b/services/worker/tests/job_runners/config/test_split_names_from_streaming.py
index c978f96a..ae9ca703 100644
--- a/services/worker/tests/job_runners/config/test_split_names_from_streaming.py
+++ b/services/worker/tests/job_runners/config/test_split_names_from_streaming.py
@@ -93,5 +93,5 @@ def test_compute_split_names_from_streaming_response(
- hub_reponses_audio: HubDatasetTest,
- hub_reponses_gated: HubDatasetTest,
- hub_reponses_private: HubDatasetTest,
- hub_reponses_empty: HubDatasetTest,
- hub_reponses_does_not_exist: HubDatasetTest,
+ hub_responses_audio: HubDatasetTest,
+ hub_responses_gated: HubDatasetTest,
+ hub_responses_private: HubDatasetTest,
+ hub_responses_empty: HubDatasetTest,
+ hub_responses_does_not_exist: HubDatasetTest,
@@ -107,5 +107,5 @@ def test_compute_split_names_from_streaming_response(
- "audio": hub_reponses_audio,
- "gated": hub_reponses_gated,
- "private": hub_reponses_private,
- "empty": hub_reponses_empty,
- "does_not_exist": hub_reponses_does_not_exist,
+ "audio": hub_responses_audio,
+ "gated": hub_responses_gated,
+ "private": hub_responses_private,
+ "empty": hub_responses_empty,
+ "does_not_exist": hub_responses_does_not_exist,
diff --git a/services/worker/tests/job_runners/dataset/test_config_names.py b/services/worker/tests/job_runners/dataset/test_config_names.py
index 3f2fcfd2..6aaa495f 100644
--- a/services/worker/tests/job_runners/dataset/test_config_names.py
+++ b/services/worker/tests/job_runners/dataset/test_config_names.py
@@ -115,5 +115,5 @@ def test_compute_splits_response_simple_csv(
- hub_reponses_audio: HubDatasetTest,
- hub_reponses_gated: HubDatasetTest,
- hub_reponses_private: HubDatasetTest,
- hub_reponses_empty: HubDatasetTest,
- hub_reponses_does_not_exist: HubDatasetTest,
+ hub_responses_audio: HubDatasetTest,
+ hub_responses_gated: HubDatasetTest,
+ hub_responses_private: HubDatasetTest,
+ hub_responses_empty: HubDatasetTest,
+ hub_responses_does_not_exist: HubDatasetTest,
@@ -129,5 +129,5 @@ def test_compute_splits_response_simple_csv(
- "audio": hub_reponses_audio,
- "gated": hub_reponses_gated,
- "private": hub_reponses_private,
- "empty": hub_reponses_empty,
- "does_not_exist": hub_reponses_does_not_exist,
+ "audio": hub_responses_audio,
+ "gated": hub_responses_gated,
+ "private": hub_responses_private,
+ "empty": hub_responses_empty,
+ "does_not_exist": hub_responses_does_not_exist,
diff --git a/services/worker/tests/job_runners/split/test_descriptive_statistics.py b/services/worker/tests/job_runners/split/test_descriptive_statistics.py
new file mode 100644
index 00000000..f849d793
--- /dev/null
+++ b/services/worker/tests/job_runners/split/test_descriptive_statistics.py
@@ -0,0 +1,331 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from http import HTTPStatus
+from typing import Callable, List, Mapping, Optional
+
+import numpy as np
+import pandas as pd
+import pytest
+from datasets import Dataset
+from libcommon.processing_graph import ProcessingGraph
+from libcommon.resources import CacheMongoResource, QueueMongoResource
+from libcommon.simple_cache import upsert_response
+from libcommon.storage import StrPath
+from libcommon.utils import Priority
+
+from worker.config import AppConfig
+from worker.job_runners.config.parquet_and_info import ConfigParquetAndInfoJobRunner
+from worker.job_runners.split.descriptive_statistics import (
+ DECIMALS,
+ ColumnType,
+ SplitDescriptiveStatisticsJobRunner,
+ generate_bins,
+)
+from worker.resources import LibrariesResource
+
+from ...fixtures.hub import HubDatasetTest
+
+GetJobRunner = Callable[[str, str, str, AppConfig], SplitDescriptiveStatisticsJobRunner]
+
+GetParquetAndInfoJobRunner = Callable[[str, str, AppConfig], ConfigParquetAndInfoJobRunner]
+
+
[email protected]
+def get_job_runner(
+ statistics_cache_directory: StrPath,
+ cache_mongo_resource: CacheMongoResource,
+ queue_mongo_resource: QueueMongoResource,
+) -> GetJobRunner:
+ def _get_job_runner(
+ dataset: str,
+ config: str,
+ split: str,
+ app_config: AppConfig,
+ ) -> SplitDescriptiveStatisticsJobRunner:
+ processing_step_name = SplitDescriptiveStatisticsJobRunner.get_job_type()
+ processing_graph = ProcessingGraph(
+ {
+ "dataset-config-names": {"input_type": "dataset"},
+ "config-split-names-from-info": {
+ "input_type": "config",
+ "triggered_by": "dataset-config-names",
+ },
+ processing_step_name: {
+ "input_type": "split",
+ "job_runner_version": SplitDescriptiveStatisticsJobRunner.get_job_runner_version(),
+ "triggered_by": ["config-split-names-from-info"],
+ },
+ }
+ )
+ return SplitDescriptiveStatisticsJobRunner(
+ job_info={
+ "type": SplitDescriptiveStatisticsJobRunner.get_job_type(),
+ "params": {
+ "dataset": dataset,
+ "revision": "revision",
+ "config": config,
+ "split": split,
+ },
+ "job_id": "job_id",
+ "priority": Priority.NORMAL,
+ "difficulty": 100,
+ },
+ app_config=app_config,
+ processing_step=processing_graph.get_processing_step(processing_step_name),
+ statistics_cache_directory=statistics_cache_directory,
+ )
+
+ return _get_job_runner
+
+
[email protected]
+def get_parquet_and_info_job_runner(
+ libraries_resource: LibrariesResource,
+ cache_mongo_resource: CacheMongoResource,
+ queue_mongo_resource: QueueMongoResource,
+) -> GetParquetAndInfoJobRunner:
+ def _get_job_runner(
+ dataset: str,
+ config: str,
+ app_config: AppConfig,
+ ) -> ConfigParquetAndInfoJobRunner:
+ processing_step_name = ConfigParquetAndInfoJobRunner.get_job_type()
+ processing_graph = ProcessingGraph(
+ {
+ "dataset-config-names": {"input_type": "dataset"},
+ processing_step_name: {
+ "input_type": "config",
+ "job_runner_version": ConfigParquetAndInfoJobRunner.get_job_runner_version(),
+ "triggered_by": "dataset-config-names",
+ },
+ }
+ )
+ return ConfigParquetAndInfoJobRunner(
+ job_info={
+ "type": ConfigParquetAndInfoJobRunner.get_job_type(),
+ "params": {
+ "dataset": dataset,
+ "revision": "revision",
+ "config": config,
+ "split": None,
+ },
+ "job_id": "job_id",
+ "priority": Priority.NORMAL,
+ "difficulty": 100,
+ },
+ app_config=app_config,
+ processing_step=processing_graph.get_processing_step(processing_step_name),
+ hf_datasets_cache=libraries_resource.hf_datasets_cache,
+ )
+
+ return _get_job_runner
+
+
+def count_expected_statistics_for_numerical_column(column: pd.Series, dtype: ColumnType) -> dict: # type: ignore
+ minimum, maximum, mean, median, std = (
+ column.min(),
+ column.max(),
+ column.mean(),
+ column.median(),
+ column.std(),
+ )
+ n_samples = column.shape[0]
+ nan_count = column.isna().sum()
+ if dtype is ColumnType.FLOAT:
+ hist, bin_edges = np.histogram(column[~column.isna()])
+ bin_edges = bin_edges.astype(float).round(DECIMALS).tolist()
+ else:
+ bins = generate_bins(minimum, maximum, dtype, 10) # TODO: N BINS
+ hist, bin_edges = np.histogram(column[~column.isna()], np.append(bins.bin_min, maximum))
+ bin_edges = bin_edges.astype(int).tolist()
+ hist = hist.astype(int).tolist()
+ if dtype is ColumnType.FLOAT:
+ minimum = minimum.astype(float).round(DECIMALS).item()
+ maximum = maximum.astype(float).round(DECIMALS).item()
+ mean = mean.astype(float).round(DECIMALS).item() # type: ignore
+ median = median.astype(float).round(DECIMALS).item() # type: ignore
+ std = std.astype(float).round(DECIMALS).item() # type: ignore
+ else:
+ mean, median, std = list(np.round([mean, median, std], DECIMALS))
+ return {
+ "nan_count": nan_count,
+ "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0,
+ "min": minimum,
+ "max": maximum,
+ "mean": mean,
+ "median": median,
+ "std": std,
+ "histogram": {
+ "hist": hist,
+ "bin_edges": bin_edges,
+ },
+ }
+
+
+def count_expected_statistics_for_categorical_column(
+ column: pd.Series, class_labels: List[str] # type: ignore
+) -> dict: # type: ignore
+ n_samples = column.shape[0]
+ nan_count = column.isna().sum()
+ value_counts = column.value_counts().to_dict()
+ n_unique = len(value_counts)
+ frequencies = {class_labels[int(class_id)]: class_count for class_id, class_count in value_counts.items()}
+ return {
+ "nan_count": nan_count,
+ "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0,
+ "n_unique": n_unique,
+ "frequencies": frequencies,
+ }
+
+
[email protected]
+def descriptive_statistics_expected(datasets: Mapping[str, Dataset]) -> dict: # type: ignore
+ ds = datasets["descriptive_statistics"]
+ df = ds.to_pandas()
+ expected_statistics = {}
+ for column_name in df.columns:
+ if column_name.startswith("int_"):
+ column_type = ColumnType.INT
+ elif column_name.startswith("float_"):
+ column_type = ColumnType.FLOAT
+ elif column_name.startswith("class_label"):
+ column_type = ColumnType.CLASS_LABEL
+ else:
+ continue
+ if column_type in [ColumnType.FLOAT, ColumnType.INT]:
+ column_stats = count_expected_statistics_for_numerical_column(df[column_name], dtype=column_type)
+ if sum(column_stats["histogram"]["hist"]) != df.shape[0] - column_stats["nan_count"]:
+ raise ValueError(column_name, column_stats)
+ expected_statistics[column_name] = {
+ "column_name": column_name,
+ "column_type": column_type,
+ "column_statistics": column_stats,
+ }
+ elif column_type is ColumnType.CLASS_LABEL:
+ class_labels = ds.features[column_name].names
+ column_stats = count_expected_statistics_for_categorical_column(df[column_name], class_labels=class_labels)
+ expected_statistics[column_name] = {
+ "column_name": column_name,
+ "column_type": column_type,
+ "column_statistics": column_stats,
+ }
+ return expected_statistics
+
+
[email protected](
+ "hub_dataset_name,expected_error_code",
+ [
+ ("descriptive_statistics", None),
+ ("audio", "NoSupportedFeaturesError"),
+ ("big", "SplitWithTooBigParquetError"),
+ ],
+)
+def test_compute(
+ app_config: AppConfig,
+ get_job_runner: GetJobRunner,
+ get_parquet_and_info_job_runner: GetParquetAndInfoJobRunner,
+ hub_responses_descriptive_statistics: HubDatasetTest,
+ hub_responses_audio: HubDatasetTest,
+ hub_responses_big: HubDatasetTest,
+ hub_dataset_name: str,
+ expected_error_code: Optional[str],
+ descriptive_statistics_expected: dict, # type: ignore
+) -> None:
+ hub_datasets = {
+ "descriptive_statistics": hub_responses_descriptive_statistics,
+ "audio": hub_responses_audio,
+ "big": hub_responses_big,
+ }
+ dataset = hub_datasets[hub_dataset_name]["name"]
+ config_names_response = hub_datasets[hub_dataset_name]["config_names_response"]
+ splits_response = hub_datasets[hub_dataset_name]["splits_response"]
+ config, split = splits_response["splits"][0]["config"], splits_response["splits"][0]["split"]
+
+ upsert_response("dataset-config-names", dataset=dataset, http_status=HTTPStatus.OK, content=config_names_response)
+ upsert_response(
+ "config-split-names-from-info",
+ dataset=dataset,
+ config=config,
+ http_status=HTTPStatus.OK,
+ content=splits_response,
+ )
+
+ # computing and pushing real parquet files because we need them for stats computation
+ parquet_job_runner = get_parquet_and_info_job_runner(dataset, config, app_config)
+ parquet_and_info_response = parquet_job_runner.compute()
+
+ upsert_response(
+ "config-parquet-and-info",
+ dataset=dataset,
+ config=config,
+ http_status=HTTPStatus.OK,
+ content=parquet_and_info_response.content,
+ )
+
+ assert parquet_and_info_response
+ job_runner = get_job_runner(dataset, config, split, app_config)
+ job_runner.pre_compute()
+ if expected_error_code:
+ with pytest.raises(Exception) as e:
+ job_runner.compute()
+ assert e.typename == expected_error_code
+ else:
+ response = job_runner.compute()
+ assert sorted(response.content.keys()) == ["num_examples", "statistics"]
+ assert response.content["num_examples"] == 20
+ response_statistics = response.content["statistics"]
+ assert len(response_statistics) == len(descriptive_statistics_expected)
+ assert set([column_response["column_name"] for column_response in response_statistics]) == set(
+ descriptive_statistics_expected.keys()
+ ) # assert returned features are as expected
+ for column_response_statistics in response_statistics:
+ assert_statistics_equal(
+ column_response_statistics, descriptive_statistics_expected[column_response_statistics["column_name"]]
+ )
+
+
+def assert_statistics_equal(response: dict, expected: dict) -> None: # type: ignore
+ """
+ Check that all values are equal or in case of float - almost equal.
+ We use np.isclose because of small possible mismatches
+ between numpy (which is used for counting expected values) and python float rounding.
+ """
+ assert response["column_name"] == expected["column_name"]
+ assert response["column_type"] == expected["column_type"]
+ response_stats, expected_stats = response["column_statistics"], expected["column_statistics"]
+ assert response_stats.keys() == expected_stats.keys()
+
+ if response["column_type"] is ColumnType.FLOAT:
+ assert np.isclose(
+ response_stats["histogram"]["bin_edges"], expected_stats["histogram"]["bin_edges"], 1e-3
+ ).all()
+ assert np.isclose(response_stats["min"], expected_stats["min"], 1e-3)
+ assert np.isclose(response_stats["max"], expected_stats["max"], 1e-3)
+ assert np.isclose(response_stats["mean"], expected_stats["mean"], 1e-3)
+ assert np.isclose(response_stats["median"], expected_stats["median"], 1e-3)
+ assert np.isclose(response_stats["std"], expected_stats["std"], 1e-3)
+ assert np.isclose(response_stats["nan_proportion"], expected_stats["nan_proportion"], 1e-3)
+
+ assert response_stats["nan_count"] == expected_stats["nan_count"]
+ assert response_stats["histogram"]["hist"] == expected_stats["histogram"]["hist"]
+
+ elif response["column_type"] is ColumnType.INT:
+ assert np.isclose(response_stats["mean"], expected_stats["mean"], 1e-3)
+ assert np.isclose(response_stats["median"], expected_stats["median"], 1e-3)
+ assert np.isclose(response_stats["std"], expected_stats["std"], 1e-3)
+ assert np.isclose(response_stats["nan_proportion"], expected_stats["nan_proportion"], 1e-3)
+
+ assert response_stats["min"] == expected_stats["min"]
+ assert response_stats["max"] == expected_stats["max"]
+ assert response_stats["nan_count"] == expected_stats["nan_count"]
+ assert response_stats["histogram"] == expected_stats["histogram"]
+
+ elif response["column_type"] is ColumnType.CLASS_LABEL:
+ assert np.isclose(response_stats["nan_proportion"], expected_stats["nan_proportion"], 1e-3)
+ assert response_stats["nan_count"] == expected_stats["nan_count"]
+ assert response_stats["n_unique"] == expected_stats["n_unique"]
+ assert response_stats["frequencies"] == expected_stats["frequencies"]
+
+ else:
+ raise ValueError("Incorrect data type")
diff --git a/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py b/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py
index 9fdb0bad..3ec75a0d 100644
--- a/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py
+++ b/services/worker/tests/job_runners/split/test_first_rows_from_streaming.py
@@ -118,3 +118,3 @@ def test_number_rows(
- hub_reponses_audio: HubDatasetTest,
- hub_reponses_image: HubDatasetTest,
- hub_reponses_images_list: HubDatasetTest,
+ hub_responses_audio: HubDatasetTest,
+ hub_responses_image: HubDatasetTest,
+ hub_responses_images_list: HubDatasetTest,
@@ -122,5 +122,5 @@ def test_number_rows(
- hub_reponses_gated: HubDatasetTest,
- hub_reponses_private: HubDatasetTest,
- hub_reponses_empty: HubDatasetTest,
- hub_reponses_does_not_exist_config: HubDatasetTest,
- hub_reponses_does_not_exist_split: HubDatasetTest,
+ hub_responses_gated: HubDatasetTest,
+ hub_responses_private: HubDatasetTest,
+ hub_responses_empty: HubDatasetTest,
+ hub_responses_does_not_exist_config: HubDatasetTest,
+ hub_responses_does_not_exist_split: HubDatasetTest,
@@ -142,3 +142,3 @@ def test_number_rows(
- "audio": hub_reponses_audio,
- "image": hub_reponses_image,
- "images_list": hub_reponses_images_list,
+ "audio": hub_responses_audio,
+ "image": hub_responses_image,
+ "images_list": hub_responses_images_list,
@@ -146,5 +146,5 @@ def test_number_rows(
- "gated": hub_reponses_gated,
- "private": hub_reponses_private,
- "empty": hub_reponses_empty,
- "does_not_exist_config": hub_reponses_does_not_exist_config,
- "does_not_exist_split": hub_reponses_does_not_exist_split,
+ "gated": hub_responses_gated,
+ "private": hub_responses_private,
+ "empty": hub_responses_empty,
+ "does_not_exist_config": hub_responses_does_not_exist_config,
+ "does_not_exist_split": hub_responses_does_not_exist_split,
diff --git a/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py b/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
index 72678d0e..ff6640a4 100644
--- a/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
+++ b/services/worker/tests/job_runners/split/test_opt_in_out_urls_scan_from_streaming.py
@@ -178 +178 @@ def test_compute(
- hub_reponses_spawning_opt_in_out: HubDatasetTest,
+ hub_responses_spawning_opt_in_out: HubDatasetTest,
@@ -186 +186 @@ def test_compute(
- hub_datasets = {"public": hub_responses_public, "spawning_opt_in_out": hub_reponses_spawning_opt_in_out}
+ hub_datasets = {"public": hub_responses_public, "spawning_opt_in_out": hub_responses_spawning_opt_in_out}
@@ -241 +241 @@ def test_compute_failed(
- hub_reponses_spawning_opt_in_out: HubDatasetTest,
+ hub_responses_spawning_opt_in_out: HubDatasetTest,
@@ -250 +250 @@ def test_compute_failed(
- dataset = hub_reponses_spawning_opt_in_out["name"]
+ dataset = hub_responses_spawning_opt_in_out["name"]
diff --git a/services/worker/tests/test_executor.py b/services/worker/tests/test_executor.py
index d8f59018..b2d85bf1 100644
--- a/services/worker/tests/test_executor.py
+++ b/services/worker/tests/test_executor.py
@@ -208,0 +209 @@ def job_runner_factory(
+ statistics_cache_directory: StrPath,
@@ -217,0 +219 @@ def job_runner_factory(
+ statistics_cache_directory=statistics_cache_directory,
diff --git a/services/worker/tests/test_job_runner_factory.py b/services/worker/tests/test_job_runner_factory.py
index 84765d48..45b5df34 100644
--- a/services/worker/tests/test_job_runner_factory.py
+++ b/services/worker/tests/test_job_runner_factory.py
@@ -42,0 +43 @@ def test_create_job_runner(
+ statistics_cache_directory: StrPath,
@@ -52,0 +54 @@ def test_create_job_runner(
+ statistics_cache_directory=statistics_cache_directory,
diff --git a/tools/docker-compose-datasets-server.yml b/tools/docker-compose-datasets-server.yml
index 6f667196..fa736d68 100644
--- a/tools/docker-compose-datasets-server.yml
+++ b/tools/docker-compose-datasets-server.yml
@@ -130,0 +131,9 @@ services:
+ DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY: ${DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY-/stats-cache}
+ DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS: ${DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS-10}
+ DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES: ${DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES-100_000_000}
+ DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ DUCKDB_INDEX_COMMIT_MESSAGE: ${DUCKDB_INDEX_COMMIT_MESSAGE-Update duckdb index file}
+ DUCKDB_INDEX_COMMITTER_HF_TOKEN: ${DUCKDB_INDEX_COMMITTER_HF_TOKEN-}
+ DUCKDB_INDEX_TARGET_REVISION: ${DUCKDB_INDEX_TARGET_REVISION-refs/convert/parquet}
+ DUCKDB_INDEX_URL_TEMPLATE: ${DUCKDB_INDEX_URL_TEMPLATE-/datasets/%s/resolve/%s/%s}
+ DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES: ${DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES-100_000_000}
@@ -135,0 +145,7 @@ services:
+ OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER-10}
+ OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER: ${OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER-100}
+ OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND: ${OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND-50}
+ OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER-100_000}
+ OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN-}
+ OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH: ${OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH-1000}
+ OPT_IN_OUT_URLS_SCAN_SPAWNING_URL: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_URL-https://opts-api.spawningaiapi.com/api/v2/query/urls}
@@ -148,6 +163,0 @@ services:
- DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
- DUCKDB_INDEX_COMMIT_MESSAGE: ${DUCKDB_INDEX_COMMIT_MESSAGE-Update duckdb index file}
- DUCKDB_INDEX_COMMITTER_HF_TOKEN: ${DUCKDB_INDEX_COMMITTER_HF_TOKEN-}
- DUCKDB_INDEX_TARGET_REVISION: ${DUCKDB_INDEX_TARGET_REVISION-refs/convert/parquet}
- DUCKDB_INDEX_URL_TEMPLATE: ${DUCKDB_INDEX_URL_TEMPLATE-/datasets/%s/resolve/%s/%s}
- DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES: ${DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES-100_000_000}
@@ -156,7 +165,0 @@ services:
- OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER-10}
- OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER: ${OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER-100}
- OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND: ${OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND-50}
- OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER-100_000}
- OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN-}
- OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH: ${OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH-1000}
- OPT_IN_OUT_URLS_SCAN_SPAWNING_URL: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_URL-https://opts-api.spawningaiapi.com/api/v2/query/urls}
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index aabcca1e..d49dc549 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -135,0 +136,9 @@ services:
+ DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY: ${DESCRIPTIVE_STATISTICS_CACHE_DIRECTORY-/stats-cache}
+ DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS: ${DESCRIPTIVE_STATISTICS_HISTOGRAM_NUM_BINS-10}
+ DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES: ${DESCRIPTIVE_STATISTICS_MAX_PARQUET_SIZE_BYTES-100_000_000}
+ DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
+ DUCKDB_INDEX_COMMIT_MESSAGE: ${DUCKDB_INDEX_COMMIT_MESSAGE-Update duckdb index files}
+ DUCKDB_INDEX_COMMITTER_HF_TOKEN: ${DUCKDB_INDEX_COMMITTER_HF_TOKEN-}
+ DUCKDB_INDEX_TARGET_REVISION: ${DUCKDB_INDEX_TARGET_REVISION-refs/convert/parquet}
+ DUCKDB_INDEX_URL_TEMPLATE: ${DUCKDB_INDEX_URL_TEMPLATE-/datasets/%s/resolve/%s/%s}
+ DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES: ${DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES-100_000_000}
@@ -140,0 +150,7 @@ services:
+ OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER-10}
+ OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER: ${OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER-100}
+ OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND: ${OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND-50}
+ OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER-100_000}
+ OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN-}
+ OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH: ${OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH-1000}
+ OPT_IN_OUT_URLS_SCAN_SPAWNING_URL: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_URL-https://opts-api.spawningaiapi.com/api/v2/query/urls}
@@ -153,6 +168,0 @@ services:
- DUCKDB_INDEX_STORAGE_DIRECTORY: ${DUCKDB_INDEX_STORAGE_DIRECTORY-/duckdb-index}
- DUCKDB_INDEX_COMMIT_MESSAGE: ${DUCKDB_INDEX_COMMIT_MESSAGE-Update duckdb index files}
- DUCKDB_INDEX_COMMITTER_HF_TOKEN: ${DUCKDB_INDEX_COMMITTER_HF_TOKEN-}
- DUCKDB_INDEX_TARGET_REVISION: ${DUCKDB_INDEX_TARGET_REVISION-refs/convert/parquet}
- DUCKDB_INDEX_URL_TEMPLATE: ${DUCKDB_INDEX_URL_TEMPLATE-/datasets/%s/resolve/%s/%s}
- DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES: ${DUCKDB_INDEX_MAX_PARQUET_SIZE_BYTES-100_000_000}
@@ -161,7 +170,0 @@ services:
- OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_COLUMNS_MAX_NUMBER-10}
- OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER: ${OPT_IN_OUT_URLS_SCAN_MAX_CONCURRENT_REQUESTS_NUMBER-100}
- OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND: ${OPT_IN_OUT_URLS_SCAN_MAX_REQUESTS_PER_SECOND-50}
- OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER: ${OPT_IN_OUT_URLS_SCAN_ROWS_MAX_NUMBER-100_000}
- OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_TOKEN-}
- OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH: ${OPT_IN_OUT_URLS_SCAN_URLS_NUMBER_PER_BATCH-1000}
- OPT_IN_OUT_URLS_SCAN_SPAWNING_URL: ${OPT_IN_OUT_URLS_SCAN_SPAWNING_URL-https://opts-api.spawningaiapi.com/api/v2/query/urls}
|
|
cfdba5a9a8306e613e574643fd590899b47f0bce
|
Sylvain Lesage
| 2023-07-27T14:51:28 |
feat: 🎸 reduce overcommitment for rows service (#1572)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 192d1593..f71a593a 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -298 +298 @@ rows:
- memory: "4Gi"
+ memory: "6Gi"
|
|
e172f24072299bc1a98266ccbd3e3c31396bcccc
|
Albert Villanova del Moral
| 2023-07-27T09:52:21 |
Document setting up local dev env with same Poetry version as CI (#1566)
|
diff --git a/DEVELOPER_GUIDE.md b/DEVELOPER_GUIDE.md
index e2101dc5..6e97737e 100644
--- a/DEVELOPER_GUIDE.md
+++ b/DEVELOPER_GUIDE.md
@@ -156 +156,44 @@ GITHUB_TOKEN=xxx
-## Mac OS
+## Set up development environment
+
+### Linux
+
+Install pyenv:
+
+```bash
+$ curl https://pyenv.run | bash
+```
+
+Install Python 3.9.15:
+
+```bash
+$ pyenv install 3.9.15
+```
+
+Check that the expected local version of Python is used:
+
+```bash
+$ cd services/worker
+$ python --version
+Python 3.9.15
+```
+
+Install Poetry:
+
+```bash
+curl -sSL https://install.python-poetry.org | POETRY_VERSION=1.4.2 python3 -
+```
+
+Set the Python version to use with Poetry:
+
+```bash
+poetry env use 3.9.15
+```
+
+Install the dependencies:
+
+```bash
+make install
+```
+
+
+### Mac OS
@@ -160 +203 @@ To install the [worker](./services/worker) on Mac OS, you can follow the next st
-### First: as an administrator
+#### First: as an administrator
@@ -187 +230 @@ For compilers to find icu4c you may need to set:
-### Then: as a normal user
+#### Then: as a normal user
@@ -229 +272 @@ Install poetry:
-curl -sSL https://install.python-poetry.org | python3 -
+curl -sSL https://install.python-poetry.org | POETRY_VERSION=1.4.2 python3 -
|
|
4ee4b65f557236ecc2829a9470a76b09c20c1e0a
|
Sylvain Lesage
| 2023-07-26T20:06:42 |
feat: 🎸 update the modification date of root dataset dir (#1569)
|
diff --git a/libs/libcommon/src/libcommon/viewer_utils/asset.py b/libs/libcommon/src/libcommon/viewer_utils/asset.py
index f98eff12..55dbf532 100644
--- a/libs/libcommon/src/libcommon/viewer_utils/asset.py
+++ b/libs/libcommon/src/libcommon/viewer_utils/asset.py
@@ -3,0 +4 @@
+import contextlib
@@ -36,0 +38,12 @@ def glob_rows_in_assets_dir(
+def update_directory_modification_date(path: Path) -> None:
+ if path.is_dir():
+ # update the directory's last modified date
+ temporary_file = path / DATASETS_SERVER_MDATE_FILENAME
+ if temporary_file.is_dir():
+ raise ValueError(f"Cannot create temporary file {temporary_file} in {path}")
+ temporary_file.touch(exist_ok=True)
+ if temporary_file.is_file():
+ with contextlib.suppress(FileNotFoundError):
+ temporary_file.unlink()
+
+
@@ -44,0 +58 @@ def update_last_modified_date_of_rows_in_assets_dir(
+ update_directory_modification_date(Path(assets_directory).resolve() / dataset.split("/")[0])
@@ -47,8 +61 @@ def update_last_modified_date_of_rows_in_assets_dir(
- if (row_dirs_path / str(row_idx)).is_dir():
- # update the directory's last modified date
- if (row_dirs_path / str(row_idx) / DATASETS_SERVER_MDATE_FILENAME).is_file():
- try:
- (row_dirs_path / str(row_idx) / DATASETS_SERVER_MDATE_FILENAME).unlink()
- except FileNotFoundError:
- pass
- (row_dirs_path / str(row_idx) / DATASETS_SERVER_MDATE_FILENAME).touch()
+ update_directory_modification_date(row_dirs_path / str(row_idx))
|
|
2045018de4f43fac262a39804f28be351d0d943e
|
Quentin Lhoest
| 2023-07-26T15:28:16 |
fix flaky executor test on long jobs (#1567)
|
diff --git a/services/worker/src/worker/executor.py b/services/worker/src/worker/executor.py
index d663a775..06903414 100644
--- a/services/worker/src/worker/executor.py
+++ b/services/worker/src/worker/executor.py
@@ -60,0 +61,5 @@ class WorkerExecutor:
+ self.heartbeat_interval_seconds = self.app_config.worker.heartbeat_interval_seconds
+ self.max_job_duration_seconds = self.app_config.worker.max_job_duration_seconds
+ self.kill_zombies_interval_seconds = self.app_config.worker.kill_zombies_interval_seconds
+ self.kill_long_job_interval_seconds = self.app_config.worker.kill_long_job_interval_seconds
+
@@ -88 +93 @@ class WorkerExecutor:
- loop.create_task(every(self.heartbeat, seconds=self.app_config.worker.heartbeat_interval_seconds))
+ loop.create_task(every(self.heartbeat, seconds=self.heartbeat_interval_seconds))
@@ -93,2 +98,2 @@ class WorkerExecutor:
- self.app_config.worker.kill_zombies_interval_seconds * 0.5,
- self.app_config.worker.kill_zombies_interval_seconds * 1.5,
+ self.kill_zombies_interval_seconds * 0.5,
+ self.kill_zombies_interval_seconds * 1.5,
@@ -103,2 +108,2 @@ class WorkerExecutor:
- self.app_config.worker.kill_long_job_interval_seconds * 0.5,
- self.app_config.worker.kill_long_job_interval_seconds * 1.5,
+ self.kill_long_job_interval_seconds * 0.5,
+ self.kill_long_job_interval_seconds * 1.5,
@@ -155,4 +160 @@ class WorkerExecutor:
- if (
- last_updated + timedelta(seconds=coefficient * self.app_config.worker.max_job_duration_seconds)
- <= get_datetime()
- ):
+ if last_updated + timedelta(seconds=coefficient * self.max_job_duration_seconds) <= get_datetime():
@@ -162 +164 @@ class WorkerExecutor:
- f" {self.app_config.worker.max_job_duration_seconds} seconds ({_duration_seconds} seconds)."
+ f" {self.max_job_duration_seconds} seconds ({_duration_seconds} seconds)."
diff --git a/services/worker/tests/test_executor.py b/services/worker/tests/test_executor.py
index 165c8038..d8f59018 100644
--- a/services/worker/tests/test_executor.py
+++ b/services/worker/tests/test_executor.py
@@ -349,4 +349,7 @@ def test_executor_stops_on_long_job(
- with patch("worker.executor.START_WORKER_LOOP_PATH", __file__), patch.dict(
- os.environ, {"WORKER_TEST_TIME": str(_TIME)}
- ):
- executor.start()
+ with patch.object(
+ executor, "kill_long_job_interval_seconds", 0.1
+ ): # make sure it has the time to kill the job
+ with patch("worker.executor.START_WORKER_LOOP_PATH", __file__), patch.dict(
+ os.environ, {"WORKER_TEST_TIME": str(_TIME)}
+ ):
+ executor.start()
|
|
221e5f6f3c314d33555ce51fc2527447aab78c71
|
Sylvain Lesage
| 2023-07-26T15:22:13 |
feat: 🎸 only issues with label P0, P1 or P2 cannot be stale (#1568)
|
diff --git a/tools/stale.py b/tools/stale.py
index 8c791c9a..9a2a0d04 100644
--- a/tools/stale.py
+++ b/tools/stale.py
@@ -17,3 +17,3 @@ LABELS_TO_EXEMPT = [
- "good first issue",
- "feature request",
- "keep"
+ "P0",
+ "P1",
+ "P2"
|
|
0a8d8c6aa62f36c8afb24de8a131ddf46f0aae38
|
Sylvain Lesage
| 2023-07-25T22:26:24 |
feat: 🎸 add heavy workers to help flush the queue (#1564)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 60a9ed52..192d1593 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -312 +312 @@ workers:
- replicas: 16
+ replicas: 24
|
|
3e531f619f41aacdcb84b61855780d631d3f96c8
|
Sylvain Lesage
| 2023-07-25T20:22:18 |
Fix storage configs (#1559)
|
diff --git a/chart/templates/_envDatasetsBased.tpl b/chart/templates/_envDatasetsBased.tpl
index 05d1ed29..0bf57342 100644
--- a/chart/templates/_envDatasetsBased.tpl
+++ b/chart/templates/_envDatasetsBased.tpl
@@ -9,2 +8,0 @@
-- name: NUMBA_CACHE_DIR
- value: "/tmp/numba-cache"
diff --git a/chart/templates/worker/_container.tpl b/chart/templates/worker/_container.tpl
index 2bfc9ab0..cf58ef20 100644
--- a/chart/templates/worker/_container.tpl
+++ b/chart/templates/worker/_container.tpl
@@ -16,0 +17 @@
+ {{ include "envNumba" . | nindent 2 }}
diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py
index 6ae79099..f9ff64bc 100644
--- a/services/api/src/api/config.py
+++ b/services/api/src/api/config.py
@@ -13 +12,0 @@ from libcommon.config import (
- ParquetMetadataConfig,
@@ -29 +27,0 @@ class AppConfig:
- parquet_metadata: ParquetMetadataConfig = field(default_factory=ParquetMetadataConfig)
@@ -42 +39,0 @@ class AppConfig:
- parquet_metadata=ParquetMetadataConfig.from_env(),
diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py
index 1bd5163a..8a66ca24 100644
--- a/services/api/tests/conftest.py
+++ b/services/api/tests/conftest.py
@@ -11 +11 @@ from libcommon.simple_cache import _clean_cache_database
-from libcommon.storage import StrPath, init_cached_assets_dir, init_parquet_metadata_dir
+from libcommon.storage import StrPath, init_cached_assets_dir
@@ -132,5 +131,0 @@ def cached_assets_directory(app_config: AppConfig) -> StrPath:
-
-
-@fixture
-def parquet_metadata_directory(app_config: AppConfig) -> StrPath:
- return init_parquet_metadata_dir(app_config.parquet_metadata.storage_directory)
diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py
index f244a3ce..a52d55f5 100644
--- a/services/worker/src/worker/config.py
+++ b/services/worker/src/worker/config.py
@@ -235 +235 @@ class NumbaConfig:
- return cls(path=env.str(name="NUMBA_CACHE_DIR", default=NUMBA_CACHE_DIR))
+ return cls(path=env.str(name="CACHE_DIR", default=NUMBA_CACHE_DIR))
|
|
3ca773737a86c37b8fdbae7b5c32e712e2261591
|
Albert Villanova del Moral
| 2023-07-25T17:30:34 |
Update poetry minor version in Dockerfiles and GH Actions (#1555)
|
diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml
index c4272b3e..25fccf99 100644
--- a/.github/workflows/_e2e_tests.yml
+++ b/.github/workflows/_e2e_tests.yml
@@ -9 +9 @@ env:
- poetry-version: 1.4.0
+ poetry-version: "1.4.2"
diff --git a/.github/workflows/_quality-python.yml b/.github/workflows/_quality-python.yml
index b282f8e3..39c3fb2b 100644
--- a/.github/workflows/_quality-python.yml
+++ b/.github/workflows/_quality-python.yml
@@ -15 +15 @@ env:
- poetry-version: "1.4.0"
+ poetry-version: "1.4.2"
diff --git a/.github/workflows/_unit-tests-python.yml b/.github/workflows/_unit-tests-python.yml
index 763748bf..3bbe3156 100644
--- a/.github/workflows/_unit-tests-python.yml
+++ b/.github/workflows/_unit-tests-python.yml
@@ -16 +16 @@ env:
- poetry-version: "1.4.0"
+ poetry-version: "1.4.2"
diff --git a/.github/workflows/openapi-spec.yml b/.github/workflows/openapi-spec.yml
index bfae8dcf..7de61309 100644
--- a/.github/workflows/openapi-spec.yml
+++ b/.github/workflows/openapi-spec.yml
@@ -19 +19 @@ env:
- poetry-version: 1.4.0
+ poetry-version: "1.4.2"
diff --git a/jobs/cache_maintenance/Dockerfile b/jobs/cache_maintenance/Dockerfile
index bcc0d76e..e15319b6 100644
--- a/jobs/cache_maintenance/Dockerfile
+++ b/jobs/cache_maintenance/Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/jobs/mongodb_migration/Dockerfile b/jobs/mongodb_migration/Dockerfile
index 2dfb42a4..cbd47967 100644
--- a/jobs/mongodb_migration/Dockerfile
+++ b/jobs/mongodb_migration/Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/admin/Dockerfile b/services/admin/Dockerfile
index f63efeab..a1e41610 100644
--- a/services/admin/Dockerfile
+++ b/services/admin/Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/admin/dev.Dockerfile b/services/admin/dev.Dockerfile
index c471992e..de2e3815 100644
--- a/services/admin/dev.Dockerfile
+++ b/services/admin/dev.Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/api/Dockerfile b/services/api/Dockerfile
index 437a2367..07228fb7 100644
--- a/services/api/Dockerfile
+++ b/services/api/Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/api/dev.Dockerfile b/services/api/dev.Dockerfile
index 09196638..150cbd05 100644
--- a/services/api/dev.Dockerfile
+++ b/services/api/dev.Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/rows/Dockerfile b/services/rows/Dockerfile
index 6e0db885..ef98625e 100644
--- a/services/rows/Dockerfile
+++ b/services/rows/Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/rows/dev.Dockerfile b/services/rows/dev.Dockerfile
index 6c710bbf..5289e1c0 100644
--- a/services/rows/dev.Dockerfile
+++ b/services/rows/dev.Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/worker/Dockerfile b/services/worker/Dockerfile
index 922ebb17..bc29e518 100644
--- a/services/worker/Dockerfile
+++ b/services/worker/Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
diff --git a/services/worker/dev.Dockerfile b/services/worker/dev.Dockerfile
index e014bb61..90a1beac 100644
--- a/services/worker/dev.Dockerfile
+++ b/services/worker/dev.Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.4.0 \
+ POETRY_VERSION=1.4.2 \
|
|
1cdf727e642f7501b494e7f878468deb5e06db8d
|
Sylvain Lesage
| 2023-07-25T16:40:07 |
feat: 🎸 request 4Gi per /rows pod (#1558)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index f21a6255..60a9ed52 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -298 +298 @@ rows:
- memory: "2Gi"
+ memory: "4Gi"
|
|
2445ac925c05864f6f1cbc1f087711bbccaa6825
|
Albert Villanova del Moral
| 2023-07-25T16:14:21 |
Update locked cachecontrol yanked version (#1553)
|
diff --git a/e2e/poetry.lock b/e2e/poetry.lock
index 56320794..8631d58d 100644
--- a/e2e/poetry.lock
+++ b/e2e/poetry.lock
@@ -84 +84 @@ name = "cachecontrol"
-version = "0.13.0"
+version = "0.13.1"
@@ -88 +88 @@ optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
@@ -90,2 +90,2 @@ files = [
- {file = "CacheControl-0.13.0-py3-none-any.whl", hash = "sha256:4544a012a25cf0a73c53cd986f68b4f9c9f6b1df01d741c2923c3d56c66c7bda"},
- {file = "CacheControl-0.13.0.tar.gz", hash = "sha256:fd3fd2cb0ca66b9a6c1d56cc9709e7e49c63dbd19b1b1bcbd8d3f94cedfe8ce5"},
+ {file = "cachecontrol-0.13.1-py3-none-any.whl", hash = "sha256:95dedbec849f46dda3137866dc28b9d133fc9af55f5b805ab1291833e4457aa4"},
+ {file = "cachecontrol-0.13.1.tar.gz", hash = "sha256:f012366b79d2243a6118309ce73151bf52a38d4a5dac8ea57f09bd29087e506b"},
@@ -99,0 +100 @@ requests = ">=2.16.0"
+dev = ["CacheControl[filecache,redis]", "black", "build", "cherrypy", "mypy", "pytest", "pytest-cov", "sphinx", "tox", "types-redis", "types-requests"]
|
|
bbd54ae85426fc447091543bf4f843a03aafdb23
|
Albert Villanova del Moral
| 2023-07-25T16:13:38 |
Update huggingface-hub dependency to 0.16.4 version (#1552)
|
diff --git a/e2e/poetry.lock b/e2e/poetry.lock
index 50da8526..56320794 100644
--- a/e2e/poetry.lock
+++ b/e2e/poetry.lock
@@ -456 +456 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -462,2 +462,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -476 +476 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -478 +478 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -479,0 +480 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -482 +483 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -484 +485 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1432 +1433 @@ python-versions = "3.9.15"
-content-hash = "0cdca5c48d955b55c5b3e57a885c24208eb936736b691a4686430a9afb37be3f"
+content-hash = "9ccb8e307b8c4e4f028c150462e0dcaa3261ed886f2ee3255373ccb9fb516c97"
diff --git a/e2e/pyproject.toml b/e2e/pyproject.toml
index a6599398..2b037e6b 100644
--- a/e2e/pyproject.toml
+++ b/e2e/pyproject.toml
@@ -16 +16 @@ flake8 = "^3.9.2"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock
index 208f7800..b8fef47f 100644
--- a/front/admin_ui/poetry.lock
+++ b/front/admin_ui/poetry.lock
@@ -1031 +1031 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -1037,2 +1037,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -1051 +1051 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1053 +1053 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1054,0 +1055 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -1057 +1058 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -1059 +1060 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1250 +1251 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
@@ -3261 +3262 @@ python-versions = "3.9.15"
-content-hash = "4c403bae2a09145ce4fb1217296ad92a9a01b184bf2d913aceb98a777b55c133"
+content-hash = "be1d93d554075bb846d5406562c2df6e71db00bfe601f07fe975fa016481b95d"
diff --git a/front/admin_ui/pyproject.toml b/front/admin_ui/pyproject.toml
index cf4bebc5..6a9cc8af 100644
--- a/front/admin_ui/pyproject.toml
+++ b/front/admin_ui/pyproject.toml
@@ -13 +13 @@ python = "3.9.15"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock
index ccffa8fd..e61523c4 100644
--- a/jobs/cache_maintenance/poetry.lock
+++ b/jobs/cache_maintenance/poetry.lock
@@ -914 +914 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -920,2 +920,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -934 +934 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -936 +936 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -937,0 +938 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -940 +941 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -942 +943 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1028 +1029 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock
index ccffa8fd..e61523c4 100644
--- a/jobs/mongodb_migration/poetry.lock
+++ b/jobs/mongodb_migration/poetry.lock
@@ -914 +914 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -920,2 +920,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -934 +934 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -936 +936 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -937,0 +938 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -940 +941 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -942 +943 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1028 +1029 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock
index 3d34ec9b..e8440393 100644
--- a/libs/libapi/poetry.lock
+++ b/libs/libapi/poetry.lock
@@ -971 +971 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -977,2 +977,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -991 +991 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -993 +993 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -994,0 +995 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -997 +998 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -999 +1000 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1085 +1086 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/libs/libcommon/poetry.lock b/libs/libcommon/poetry.lock
index f0c19354..a070ad0a 100644
--- a/libs/libcommon/poetry.lock
+++ b/libs/libcommon/poetry.lock
@@ -914 +914 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -920,2 +920,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -934 +934 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -936 +936 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -937,0 +938 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -940 +941 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -942 +943 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -3013 +3014 @@ python-versions = "3.9.15"
-content-hash = "c796cce59e2755d2a0b49d39a532262156b903ef92d51cfd769f3e66eceb932c"
+content-hash = "13edd58f1c9acd0ece1f9a251b35a17408486c1963188825c6b3f379eb7a8eb2"
diff --git a/libs/libcommon/pyproject.toml b/libs/libcommon/pyproject.toml
index c4234875..56244192 100644
--- a/libs/libcommon/pyproject.toml
+++ b/libs/libcommon/pyproject.toml
@@ -12 +12 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock
index 0cb34b5a..9f3a1e44 100644
--- a/services/admin/poetry.lock
+++ b/services/admin/poetry.lock
@@ -972 +972 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -978,2 +978,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -992 +992 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -994 +994 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -995,0 +996 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -998 +999 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -1000 +1001 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1086 +1087 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
@@ -3178 +3179 @@ python-versions = "3.9.15"
-content-hash = "4e26a8bed529d7887a33b09f337e1311cd74732328595d4bf1aff050253ff5f4"
+content-hash = "d7a75dc6eac3e5e8cf055f341fba56e25fb7acf83648c9e07c3ea047be097e63"
diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml
index 172c6b3c..58f05613 100644
--- a/services/admin/pyproject.toml
+++ b/services/admin/pyproject.toml
@@ -23 +23 @@ httpx = "^0.23.3"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/services/api/poetry.lock b/services/api/poetry.lock
index c9cf8f3e..42cfb1b6 100644
--- a/services/api/poetry.lock
+++ b/services/api/poetry.lock
@@ -1018 +1018 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -1024,2 +1024,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -1038 +1038 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1040 +1040 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1041,0 +1042 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -1044 +1045 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -1046 +1047 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1176 +1177 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/services/rows/poetry.lock b/services/rows/poetry.lock
index 65753aeb..be9199a9 100644
--- a/services/rows/poetry.lock
+++ b/services/rows/poetry.lock
@@ -1029 +1029 @@ name = "huggingface-hub"
-version = "0.15.1"
+version = "0.16.4"
@@ -1035,2 +1035,2 @@ files = [
- {file = "huggingface_hub-0.15.1-py3-none-any.whl", hash = "sha256:05b0fb0abbf1f625dfee864648ac3049fe225ac4371c7bafaca0c2d3a2f83445"},
- {file = "huggingface_hub-0.15.1.tar.gz", hash = "sha256:a61b7d1a7769fe10119e730277c72ab99d95c48d86a3d6da3e9f3d0f632a4081"},
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
@@ -1049 +1049 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1051 +1051 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1052,0 +1053 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -1055 +1056 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -1057 +1058 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1187 +1188 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock
index e7e35500..7296cd7d 100644
--- a/services/worker/poetry.lock
+++ b/services/worker/poetry.lock
@@ -1519 +1519 @@ name = "huggingface-hub"
-version = "0.16.0.dev0"
+version = "0.16.4"
@@ -1524,2 +1524,4 @@ python-versions = ">=3.7.0"
-files = []
-develop = false
+files = [
+ {file = "huggingface_hub-0.16.4-py3-none-any.whl", hash = "sha256:0d3df29932f334fead024afc7cb4cc5149d955238b8b5e42dcf9740d6995a349"},
+ {file = "huggingface_hub-0.16.4.tar.gz", hash = "sha256:608c7d4f3d368b326d1747f91523dbd1f692871e8e2e7a4750314a2dd8b63e14"},
+]
@@ -1537 +1539 @@ typing-extensions = ">=3.7.4.3"
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1539 +1541 @@ cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "black (>=23.1,<24.0)", "gradio", "jedi", "mypy (==0.982)", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.0.241)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "urllib3 (<2.0)"]
@@ -1540,0 +1543 @@ fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+inference = ["aiohttp", "pydantic"]
@@ -1543 +1546 @@ tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "gradio", "jedi", "numpy", "pytest", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
@@ -1545,7 +1548 @@ torch = ["torch"]
-typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
-
-[package.source]
-type = "git"
-url = "https://github.com/huggingface/huggingface_hub"
-reference = "1055a56b2d2723b55ba4fdf1f3296e04cfd8d6db"
-resolved_reference = "1055a56b2d2723b55ba4fdf1f3296e04cfd8d6db"
+typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
@@ -1844 +1841 @@ environs = "^9.5.0"
-huggingface-hub = "^0.15.1"
+huggingface-hub = "^0.16.4"
@@ -5634 +5631 @@ python-versions = "3.9.15"
-content-hash = "7b9fd2481fb986fca30a557319cf230f266121211c27d92ab44168121a21afc1"
+content-hash = "ae4fd56d29a7d8cc750540a751d71225507bc8a6ee9b72e161a6504e5819f4c2"
diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml
index 582de13c..62578535 100644
--- a/services/worker/pyproject.toml
+++ b/services/worker/pyproject.toml
@@ -18 +18 @@ gdown = "^4.6.3"
-huggingface-hub = { git = "https://github.com/huggingface/huggingface_hub", rev = "1055a56b2d2723b55ba4fdf1f3296e04cfd8d6db" }
+huggingface-hub = "^0.16.4"
|
|
b86d437552e6583fbc9473ea5a12cff5a87893fc
|
Albert Villanova del Moral
| 2023-07-25T16:05:52 |
Update certifi in poetry lock files (#1557)
|
diff --git a/e2e/poetry.lock b/e2e/poetry.lock
index 19c5b449..50da8526 100644
--- a/e2e/poetry.lock
+++ b/e2e/poetry.lock
@@ -105 +105 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -111,2 +111,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock
index 904f5f72..208f7800 100644
--- a/front/admin_ui/poetry.lock
+++ b/front/admin_ui/poetry.lock
@@ -241 +241 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -247,2 +247,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2751,0 +2752 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock
index 01d55f22..ccffa8fd 100644
--- a/jobs/cache_maintenance/poetry.lock
+++ b/jobs/cache_maintenance/poetry.lock
@@ -287 +287 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -293,2 +293,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2563,0 +2564 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock
index 01d55f22..ccffa8fd 100644
--- a/jobs/mongodb_migration/poetry.lock
+++ b/jobs/mongodb_migration/poetry.lock
@@ -287 +287 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -293,2 +293,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2563,0 +2564 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock
index 1c258452..3d34ec9b 100644
--- a/libs/libapi/poetry.lock
+++ b/libs/libapi/poetry.lock
@@ -287 +287 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -293,2 +293,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2720,0 +2721 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/libs/libcommon/poetry.lock b/libs/libcommon/poetry.lock
index a4cf1131..f0c19354 100644
--- a/libs/libcommon/poetry.lock
+++ b/libs/libcommon/poetry.lock
@@ -287 +287 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -293,2 +293,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2544,0 +2545 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock
index 878ee866..0cb34b5a 100644
--- a/services/admin/poetry.lock
+++ b/services/admin/poetry.lock
@@ -287 +287 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -293,2 +293,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2658,0 +2659 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/services/api/poetry.lock b/services/api/poetry.lock
index d809a126..c9cf8f3e 100644
--- a/services/api/poetry.lock
+++ b/services/api/poetry.lock
@@ -287 +287 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -293,2 +293,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2802,0 +2803 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/services/rows/poetry.lock b/services/rows/poetry.lock
index d7b2ed35..65753aeb 100644
--- a/services/rows/poetry.lock
+++ b/services/rows/poetry.lock
@@ -287 +287 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -293,2 +293,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -2817,0 +2818 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock
index 12de9f24..e7e35500 100644
--- a/services/worker/poetry.lock
+++ b/services/worker/poetry.lock
@@ -518 +518 @@ name = "certifi"
-version = "2023.5.7"
+version = "2023.7.22"
@@ -524,2 +524,2 @@ files = [
- {file = "certifi-2023.5.7-py3-none-any.whl", hash = "sha256:c6c2e98f5c7869efca1f8916fed228dd91539f9f1b444c314c06eef02980c716"},
- {file = "certifi-2023.5.7.tar.gz", hash = "sha256:0f0d56dc5a6ad56fd4ba36484d6cc34451e1c6548c61daad8c320169f91eddc7"},
+ {file = "certifi-2023.7.22-py3-none-any.whl", hash = "sha256:92d6037539857d8206b8f6ae472e8b77db8058fec5937a1ef3f54304089edbb9"},
+ {file = "certifi-2023.7.22.tar.gz", hash = "sha256:539cc1d13202e33ca466e88b2807e29f4c13049d6d87031a3c110744495cb082"},
@@ -4438,0 +4439 @@ files = [
+ {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
|
|
589c02c01352aa186ee9db005613a5d150c446d3
|
Albert Villanova del Moral
| 2023-07-25T13:17:13 |
Align poetry version in all Docker files (#1554)
|
diff --git a/jobs/cache_maintenance/Dockerfile b/jobs/cache_maintenance/Dockerfile
index 1cf31830..bcc0d76e 100644
--- a/jobs/cache_maintenance/Dockerfile
+++ b/jobs/cache_maintenance/Dockerfile
@@ -13 +13 @@ ENV PYTHONFAULTHANDLER=1 \
- POETRY_VERSION=1.3.2 \
+ POETRY_VERSION=1.4.0 \
|
|
f5a911990c401bf2becaf3821add45dd6a35cc99
|
Sylvain Lesage
| 2023-07-24T20:15:13 |
feat: 🎸 reduce resources (#1551)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 99173525..f21a6255 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -312 +312 @@ workers:
- replicas: 60
+ replicas: 16
@@ -329 +329 @@ workers:
- replicas: 15
+ replicas: 8
|
|
e4a93b9530fca953ac58781559293176de7fd1ae
|
Rémy
| 2023-07-24T15:47:54 |
fix(helm): update probes for services pods (#1548)
|
diff --git a/chart/templates/services/admin/_container.tpl b/chart/templates/services/admin/_container.tpl
index fcb86635..f6e3ea1f 100644
--- a/chart/templates/services/admin/_container.tpl
+++ b/chart/templates/services/admin/_container.tpl
@@ -45 +45,4 @@
- tcpSocket:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
@@ -48 +51,4 @@
- tcpSocket:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
diff --git a/chart/templates/services/api/_container.tpl b/chart/templates/services/api/_container.tpl
index 4c83f00a..3740f4e4 100644
--- a/chart/templates/services/api/_container.tpl
+++ b/chart/templates/services/api/_container.tpl
@@ -50 +50,4 @@
- tcpSocket:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
@@ -53 +56,4 @@
- tcpSocket:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
diff --git a/chart/templates/services/rows/_container.tpl b/chart/templates/services/rows/_container.tpl
index 2cb00e86..c8b242db 100644
--- a/chart/templates/services/rows/_container.tpl
+++ b/chart/templates/services/rows/_container.tpl
@@ -55 +55,4 @@
- tcpSocket:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
@@ -58 +61,4 @@
- tcpSocket:
+ failureThreshold: 30
+ periodSeconds: 5
+ httpGet:
+ path: /healthcheck
|
|
0e8c96e9d2b6b508508a74a4fbd17c4434387e15
|
Sylvain Lesage
| 2023-07-24T15:45:49 |
Update prod.yaml (#1547)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index cca3909e..99173525 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -118 +118 @@ parquetAndInfo:
- supportedDatasets: "bigcode/the-stack"
+ supportedDatasets: ""
|
|
ab05c1047d473f23debd63e20b84d93ecf717961
|
Rémy
| 2023-07-24T15:22:43 |
fix: use dedicated nodes for rows pods (#1546)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 04d967ab..cca3909e 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -290 +289,0 @@ rows:
-
@@ -292 +291 @@ rows:
- role-datasets-server: "true"
+ role-datasets-server-rows: "true"
|
|
59d959fb56c9dba5868a6e9d6716e7071fc6abfb
|
Sylvain Lesage
| 2023-07-24T15:21:45 |
feat: 🎸 unblock all datasets but Graphcore (and echarlaix) ones (#1545)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 4f8433d6..04d967ab 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -117 +117 @@ parquetAndInfo:
- blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,EfaceD/ElysiumInspirations,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/TextCaps,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SamAct/medium_cleaned,Samip/Scotch,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,arpelarpe/nota,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigcode/the-stack-username-to-repo,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,cmudrc/porous-microstructure-strain-fields,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,grasshoff/lhc_sents,guangguang/azukijpg,hr16/Miwano-Rag,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mulcyber/europarl-mono,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,strombergnlp/broad_twitter_corpus,student/celebA,tau/mrqa,texturedesign/td01_natural-ground-textures,tilos/ASR-CCANTCSC,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,voidful/librispeech_asr_text,winvoker/lvis,wmt/europarl,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
+ blockedDatasets: "Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert"
|
|
3fa0feab15d09f6f1ba62560ba91da29a5dd8661
|
Rémy
| 2023-07-24T14:56:22 |
fix: resources allocation and use dedicated nodes for worker light (#1544)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 13709c27..4f8433d6 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -317 +317 @@ workers:
- memory: "4Gi"
+ memory: "8Gi"
@@ -329 +329 @@ workers:
- role-datasets-server-worker: "true"
+ role-datasets-server-worker-light: "true"
|
|
9518971f69d0d0616411e7c0b9ec00468f8b5dcc
|
Sylvain Lesage
| 2023-07-24T14:51:18 |
feat: 🎸 unblock datasets with 200 downloads or more (#1543)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 442cbf6e..13709c27 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -117 +117 @@ parquetAndInfo:
- blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,EfaceD/ElysiumInspirations,GEM/BiSECT,GEM/references,GEM/xsum,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/TextCaps,HuggingFaceM4/charades,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,Karavet/ILUR-news-text-classification-corpus,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,Lacito/pangloss,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SamAct/medium_cleaned,Samip/Scotch,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,arpelarpe/nota,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,castorini/msmarco_v1_passage_doc2query-t5_expansions,chenghao/scielo_books,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,grasshoff/lhc_sents,guangguang/azukijpg,hebrew_projectbenyehuda,hr16/Miwano-Rag,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mteb/results,mteb/tatoeba-bitext-mining,mulcyber/europarl-mono,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,strombergnlp/broad_twitter_corpus,student/celebA,tab_fact,tau/mrqa,texturedesign/td01_natural-ground-textures,tilos/ASR-CCANTCSC,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,voidful/librispeech_asr_text,winvoker/lvis,wmt/europarl,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
+ blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,EfaceD/ElysiumInspirations,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/TextCaps,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SamAct/medium_cleaned,Samip/Scotch,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,arpelarpe/nota,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigcode/the-stack-username-to-repo,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,cmudrc/porous-microstructure-strain-fields,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,grasshoff/lhc_sents,guangguang/azukijpg,hr16/Miwano-Rag,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mulcyber/europarl-mono,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,strombergnlp/broad_twitter_corpus,student/celebA,tau/mrqa,texturedesign/td01_natural-ground-textures,tilos/ASR-CCANTCSC,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,voidful/librispeech_asr_text,winvoker/lvis,wmt/europarl,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
|
|
6e9e2c897c1a987ca020ff2ca26d8694d0c95537
|
Sylvain Lesage
| 2023-07-24T14:11:56 |
feat: 🎸 unblock datasets with at least 3 likes (#1542)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 15a3b2fb..442cbf6e 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -117 +117 @@ parquetAndInfo:
- blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,DelgadoPanadero/Pokemon,EfaceD/ElysiumInspirations,GEM/BiSECT,GEM/references,GEM/xsum,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/COCO,HuggingFaceM4/FairFace,HuggingFaceM4/TextCaps,HuggingFaceM4/VQAv2,HuggingFaceM4/charades,HuggingFaceM4/cm4-synthetic-testing,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,Karavet/ILUR-news-text-classification-corpus,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,Lacito/pangloss,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Muennighoff/flores200,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SamAct/medium_cleaned,Samip/Scotch,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,VIMA/VIMA-Data,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,alkzar90/CC6204-Hackaton-Cub-Dataset,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,arpelarpe/nota,asapp/slue,ashraf-ali/quran-data,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/brill_iconclass,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,castorini/msmarco_v1_passage_doc2query-t5_expansions,ccdv/cnn_dailymail,ccdv/mediasum,chenghao/scielo_books,chrisjay/mnist-adversarial-dataset,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,evidence_infer_treatment,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,gigant/african_accented_french,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,grasshoff/lhc_sents,guangguang/azukijpg,hebrew_projectbenyehuda,hr16/Miwano-Rag,huggan/anime-faces,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/nfl-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,mulcyber/europarl-mono,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,opus_euconst,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,tab_fact,tau/mrqa,texturedesign/td01_natural-ground-textures,textvqa,tilos/ASR-CCANTCSC,tner/wikiann,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,voidful/librispeech_asr_text,winvoker/lvis,wmt/europarl,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
+ blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,EfaceD/ElysiumInspirations,GEM/BiSECT,GEM/references,GEM/xsum,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/TextCaps,HuggingFaceM4/charades,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,Karavet/ILUR-news-text-classification-corpus,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,Lacito/pangloss,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SamAct/medium_cleaned,Samip/Scotch,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,arpelarpe/nota,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,castorini/msmarco_v1_passage_doc2query-t5_expansions,chenghao/scielo_books,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,grasshoff/lhc_sents,guangguang/azukijpg,hebrew_projectbenyehuda,hr16/Miwano-Rag,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mteb/results,mteb/tatoeba-bitext-mining,mulcyber/europarl-mono,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,strombergnlp/broad_twitter_corpus,student/celebA,tab_fact,tau/mrqa,texturedesign/td01_natural-ground-textures,tilos/ASR-CCANTCSC,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,voidful/librispeech_asr_text,winvoker/lvis,wmt/europarl,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
|
|
56682aa1bbc6489902cf26603239b4a22fa207c7
|
Quentin Lhoest
| 2023-07-24T10:17:30 |
add auth to first_rows_from_parquet (#1541)
|
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
index 472eae18..402c0d70 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
@@ -192 +192 @@ class SplitFirstRowsFromParquetJobRunner(SplitJobRunner):
- httpfs=HTTPFileSystem(),
+ httpfs=HTTPFileSystem(headers={"authorization": f"Bearer {self.app_config.common.hf_token}"}),
|
|
4b012593a3abecab1940add2bf49e5d572d7c80f
|
Sylvain Lesage
| 2023-07-21T18:12:24 |
feat: 🎸 unblock 26 datasets (5 likes or more) (#1540)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index d5b48476..15a3b2fb 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -117 +117 @@ parquetAndInfo:
- blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CodedotAI/code_clippy,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,DelgadoPanadero/Pokemon,EfaceD/ElysiumInspirations,GEM/BiSECT,GEM/references,GEM/xsum,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/COCO,HuggingFaceM4/FairFace,HuggingFaceM4/TGIF,HuggingFaceM4/TextCaps,HuggingFaceM4/VQAv2,HuggingFaceM4/charades,HuggingFaceM4/cm4-synthetic-testing,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,Karavet/ILUR-news-text-classification-corpus,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,Lacito/pangloss,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Muennighoff/flores200,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SLPL/naab-raw,SamAct/medium_cleaned,Samip/Scotch,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,SocialGrep/ten-million-reddit-answers,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,VIMA/VIMA-Data,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,alkzar90/CC6204-Hackaton-Cub-Dataset,ami,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,arpelarpe/nota,asapp/slue,ashraf-ali/quran-data,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,backslashlim/LoRA-Datasets,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/brill_iconclass,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,biglam/nls_chapbook_illustrations,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,castorini/msmarco_v1_passage_doc2query-t5_expansions,cats_vs_dogs,ccdv/cnn_dailymail,ccdv/mediasum,chenghao/scielo_books,chrisjay/mnist-adversarial-dataset,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,common_language,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,cornell_movie_dialog,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,dalle-mini/YFCC100M_OpenAI_subset,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,evidence_infer_treatment,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,gigant/african_accented_french,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,grasshoff/lhc_sents,guangguang/azukijpg,hebrew_projectbenyehuda,hr16/Miwano-Rag,huggan/anime-faces,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,joelito/lextreme,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/nfl-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,lj_speech,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_10_0,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,mulcyber/europarl-mono,multilingual_librispeech,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,nyanko7/yandere-images,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,openslr,opus_euconst,orieg/elsevier-oa-cc-by,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,qanastek/MASSIVE,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,tab_fact,tau/mrqa,tau/scrolls,texturedesign/td01_natural-ground-textures,textvqa,tilos/ASR-CCANTCSC,tner/wikiann,turkic_xwmt,universal_morphologies,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,vctk,voidful/librispeech_asr_text,web_nlg,winvoker/lvis,wmt/europarl,yhavinga/ccmatrix,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
+ blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,DelgadoPanadero/Pokemon,EfaceD/ElysiumInspirations,GEM/BiSECT,GEM/references,GEM/xsum,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/COCO,HuggingFaceM4/FairFace,HuggingFaceM4/TextCaps,HuggingFaceM4/VQAv2,HuggingFaceM4/charades,HuggingFaceM4/cm4-synthetic-testing,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,Karavet/ILUR-news-text-classification-corpus,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,Lacito/pangloss,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Muennighoff/flores200,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SamAct/medium_cleaned,Samip/Scotch,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,VIMA/VIMA-Data,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,alkzar90/CC6204-Hackaton-Cub-Dataset,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,arpelarpe/nota,asapp/slue,ashraf-ali/quran-data,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/brill_iconclass,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,castorini/msmarco_v1_passage_doc2query-t5_expansions,ccdv/cnn_dailymail,ccdv/mediasum,chenghao/scielo_books,chrisjay/mnist-adversarial-dataset,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,evidence_infer_treatment,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,gigant/african_accented_french,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,grasshoff/lhc_sents,guangguang/azukijpg,hebrew_projectbenyehuda,hr16/Miwano-Rag,huggan/anime-faces,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/nfl-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,mulcyber/europarl-mono,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,opus_euconst,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,tab_fact,tau/mrqa,texturedesign/td01_natural-ground-textures,textvqa,tilos/ASR-CCANTCSC,tner/wikiann,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,voidful/librispeech_asr_text,winvoker/lvis,wmt/europarl,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
|
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14c639c80340f913b875f9d6906d86438a126c87
|
Sylvain Lesage
| 2023-07-21T16:02:39 |
feat: 🎸 unblock impactful datasets (#1539)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 370fee1a..d5b48476 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -117 +117 @@ parquetAndInfo:
- blockedDatasets: 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si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,lj_speech,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,miracl/miracl,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_10_0,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mozilla-foundation/common_voice_7_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,mulcyber/europarl-mono,multilingual_librispeech,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,nyanko7/yandere-images,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,openslr,opus_euconst,orieg/elsevier-oa-cc-by,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,qanastek/MASSIVE,raghav66/whisper-gpt,reazon-research/reazonspeech,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,superb,tab_fact,tapaco,tau/mrqa,tau/scrolls,texturedesign/td01_natural-ground-textures,textvqa,tilos/ASR-CCANTCSC,tner/wikiann,turkic_xwmt,universal_morphologies,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,vctk,voidful/librispeech_asr_text,web_nlg,winvoker/lvis,wmt/europarl,xglue,yhavinga/ccmatrix,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
+ blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CodedotAI/code_clippy,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,DelgadoPanadero/Pokemon,EfaceD/ElysiumInspirations,GEM/BiSECT,GEM/references,GEM/xsum,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/COCO,HuggingFaceM4/FairFace,HuggingFaceM4/TGIF,HuggingFaceM4/TextCaps,HuggingFaceM4/VQAv2,HuggingFaceM4/charades,HuggingFaceM4/cm4-synthetic-testing,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,Karavet/ILUR-news-text-classification-corpus,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,Lacito/pangloss,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Muennighoff/flores200,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SLPL/naab-raw,SamAct/medium_cleaned,Samip/Scotch,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,SocialGrep/ten-million-reddit-answers,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,VIMA/VIMA-Data,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,alkzar90/CC6204-Hackaton-Cub-Dataset,ami,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,arpelarpe/nota,asapp/slue,ashraf-ali/quran-data,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,backslashlim/LoRA-Datasets,bengaliAI/cvbn,benschill/brain-tumor-collection,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/brill_iconclass,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,biglam/nls_chapbook_illustrations,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,castorini/msmarco_v1_passage_doc2query-t5_expansions,cats_vs_dogs,ccdv/cnn_dailymail,ccdv/mediasum,chenghao/scielo_books,chrisjay/mnist-adversarial-dataset,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,common_language,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,cornell_movie_dialog,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,dalle-mini/YFCC100M_OpenAI_subset,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,evidence_infer_treatment,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,gigant/african_accented_french,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,grasshoff/lhc_sents,guangguang/azukijpg,hebrew_projectbenyehuda,hr16/Miwano-Rag,huggan/anime-faces,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,joelito/lextreme,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/nfl-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,lj_speech,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_10_0,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,mulcyber/europarl-mono,multilingual_librispeech,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,nyanko7/yandere-images,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,openslr,opus_euconst,orieg/elsevier-oa-cc-by,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,qanastek/MASSIVE,raghav66/whisper-gpt,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,tab_fact,tau/mrqa,tau/scrolls,texturedesign/td01_natural-ground-textures,textvqa,tilos/ASR-CCANTCSC,tner/wikiann,turkic_xwmt,universal_morphologies,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,vctk,voidful/librispeech_asr_text,web_nlg,winvoker/lvis,wmt/europarl,yhavinga/ccmatrix,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
@@ -313 +313 @@ workers:
- replicas: 20
+ replicas: 60
@@ -330 +330 @@ workers:
- replicas: 6
+ replicas: 15
|
|
0691cb7af3cd3a2293ad0120c684bb686f7aa804
|
Andrea Francis Soria Jimenez
| 2023-07-20T21:17:43 |
Update aiohttp (#1538)
|
diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock
index 75d6c3b1..904f5f72 100644
--- a/front/admin_ui/poetry.lock
+++ b/front/admin_ui/poetry.lock
@@ -17 +17 @@ name = "aiohttp"
-version = "3.8.4"
+version = "3.8.5"
@@ -23,87 +23,87 @@ files = [
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diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock
index e283ac7d..1c258452 100644
--- a/libs/libapi/poetry.lock
+++ b/libs/libapi/poetry.lock
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|
|
47e93d398d839846fa5cb3429b8cd3f43c69b198
|
Andrea Francis Soria Jimenez
| 2023-07-20T17:03:39 |
Update aiohttp (#1537)
|
diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock
index 53723665..01d55f22 100644
--- a/jobs/cache_maintenance/poetry.lock
+++ b/jobs/cache_maintenance/poetry.lock
@@ -5 +5 @@ name = "aiohttp"
-version = "3.8.4"
+version = "3.8.5"
@@ -11,87 +11,87 @@ files = [
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diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock
index 53723665..01d55f22 100644
--- a/jobs/mongodb_migration/poetry.lock
+++ b/jobs/mongodb_migration/poetry.lock
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diff --git a/libs/libcommon/poetry.lock b/libs/libcommon/poetry.lock
index 53d04013..a4cf1131 100644
--- a/libs/libcommon/poetry.lock
+++ b/libs/libcommon/poetry.lock
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diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock
index 080aa777..878ee866 100644
--- a/services/admin/poetry.lock
+++ b/services/admin/poetry.lock
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diff --git a/services/api/poetry.lock b/services/api/poetry.lock
index be55a10d..d809a126 100644
--- a/services/api/poetry.lock
+++ b/services/api/poetry.lock
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diff --git a/services/rows/poetry.lock b/services/rows/poetry.lock
index 8ce03889..d7b2ed35 100644
--- a/services/rows/poetry.lock
+++ b/services/rows/poetry.lock
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diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock
index af2ec8a8..12de9f24 100644
--- a/services/worker/poetry.lock
+++ b/services/worker/poetry.lock
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|
|
70d56e3261e95c95286d48c6c52c19a073521a20
|
Sylvain Lesage
| 2023-07-20T16:24:24 |
Remove datasets from the blocklist (#1534)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index f57408ce..370fee1a 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -116 +116,2 @@ parquetAndInfo:
- blockedDatasets: "1aurent/icdar-2011,abdusahmbzuai/masc_dev,Abuelnour/json_1000_Scientific_Paper,ACL-OCL/acl-anthology-corpus,adamlin/daily_dialog,albertvillanova/TextCaps,alkzar90/CC6204-Hackaton-Cub-Dataset,allenai/nllb,ami,andite/riyo-tag,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,anonymousdeepcc/DeepCC,arpelarpe/nota,asapp/slue,ashraf-ali/quran-data,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,backslashlim/LoRA-Datasets,bengaliAI/cvbn,benschill/brain-tumor-collection,beyond/chinese_clean_passages_80m,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/brill_iconclass,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,biglam/nls_chapbook_illustrations,bigscience-biomedical/anat_em,bigscience-biomedical/ebm_pico,bigscience-biomedical/evidence_inference,bigscience/massive-probing-results,bigscience/P3,bigscience/xP3,bio-datasets/e3c,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/SPACCC_Sentence-Splitter,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,Carlisle/msmarco-passage-non-abs,castorini/msmarco_v1_passage_doc2query-t5_expansions,cats_vs_dogs,ccdv/arxiv-summarization,ccdv/cnn_dailymail,ccdv/mediasum,ChaiML/AnthropicRLHFPreferenceData,Champion/vpc2020_clear_anon_speech,chenghao/scielo_books,chrisjay/mnist-adversarial-dataset,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,CodedotAI/code_clippy,common_language,competition_math,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,cornell_movie_dialog,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,dalle-mini/YFCC100M_OpenAI_subset,darkproger/librispeech_asr,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,DelgadoPanadero/Pokemon,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,dog/punks,ds4sd/DocLayNet,DTU54DL/librispeech5k-augmentated-train-prepared,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,EfaceD/ElysiumInspirations,evidence_infer_treatment,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,GEM/BiSECT,GEM/references,GEM/xsum,genjib/LAVISHData,gigant/african_accented_french,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,google/fleurs,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,grasshoff/lhc_sents,guangguang/azukijpg,HamdiJr/Egyptian_hieroglyphs,hebrew_projectbenyehuda,helena-balabin/sentences,hr16/Miwano-Rag,huggan/anime-faces,HuggingFaceM4/charades,HuggingFaceM4/cm4-synthetic-testing,HuggingFaceM4/COCO,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/FairFace,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/TextCaps,HuggingFaceM4/TGIF,HuggingFaceM4/VQAv2,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,Isma/librispeech_1000_seed_42,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/lextreme,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,Karavet/ILUR-news-text-classification-corpus,keremberke/garbage-object-detection,keremberke/nfl-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,KETI-AIR/vqa,khalidalt/tydiqa-primary,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,Lacito/pangloss,lafi23333/ds,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,leviethoang/VBVLSP,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,lj_speech,Lykon/OnePiece,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matallanas/linustechtips-transcript-audio-mp3,matallanas/linustechtips-transcript-audio-ogg,matallanas/linustechtips-transcript-audio-wav,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mc4,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,miracl/miracl,momilla/Ethereum_transacitons,MorVentura/TRBLLmaker,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_10_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mozilla-foundation/common_voice_7_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,Muennighoff/flores200,mulcyber/europarl-mono,multilingual_librispeech,Murple/mmcrsc,mwhanna/ACT-Thor,mwitiderrick/arXiv,nanom/splittedspanish3bwc,Nart/parallel-ab-ru,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,NeuroSenko/senko_anime_full,nev/anime-giph,nishita/ade20k-sample,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,nyanko7/yandere-images,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,openslr,opus_euconst,orieg/elsevier-oa-cc-by,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,Pinguin/images,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,pragnakalp/squad_v2_french_translated,qanastek/MASSIVE,qanastek/QUAERO,raghav66/whisper-gpt,RaphaelOlivier/whisper_adversarial_examples,RAYZ/Mixed-Dia,reazon-research/reazonspeech,robertmyers/pile_v2,Rodion/uno_sustainable_development_goals,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,SamAct/medium_cleaned,Samip/Scotch,sanchit-gandhi/librispeech_asr_clean,SaulLu/Natural_Questions_HTML_reduced_all,SDbiaseval/dataset-dalle,SetFit/mnli,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,SLPL/naab-raw,SocialGrep/ten-million-reddit-answers,SocialGrep/the-reddit-climate-change-dataset,society-ethics/lila_camera_traps,Sreyan88/librispeech_asr,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,superb,tab_fact,TalTechNLP/VoxLingua107,tapaco,tau/mrqa,tau/scrolls,tensorcat/wikipedia-japanese,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,texturedesign/td01_natural-ground-textures,textvqa,the_pile,tilos/ASR-CCANTCSC,tner/wikiann,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,turkic_xwmt,universal_morphologies,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,vctk,VIMA/VIMA-Data,Voicemod/LibriTTS-100-preproc,voidful/librispeech_asr_text,web_nlg,Whispering-GPT/linustechtips-transcript-audio,winvoker/lvis,wmt/europarl,xglue,Yehor/ukrainian-tts-lada,yhavinga/ccmatrix,ywchoi/mdpi_sept10,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,z-uo/female-LJSpeech-italian,ZihaoLin/zhlds,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
+ # See https://observablehq.com/@huggingface/blocked-datasets
+ blockedDatasets: "1aurent/icdar-2011,Abuelnour/json_1000_Scientific_Paper,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/SPACCC_Sentence-Splitter,Carlisle/msmarco-passage-non-abs,Champion/vpc2020_clear_anon_speech,CodedotAI/code_clippy,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,DTU54DL/librispeech5k-augmentated-train-prepared,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,DelgadoPanadero/Pokemon,EfaceD/ElysiumInspirations,GEM/BiSECT,GEM/references,GEM/xsum,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,HamdiJr/Egyptian_hieroglyphs,HuggingFaceM4/COCO,HuggingFaceM4/FairFace,HuggingFaceM4/TGIF,HuggingFaceM4/TextCaps,HuggingFaceM4/VQAv2,HuggingFaceM4/charades,HuggingFaceM4/cm4-synthetic-testing,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,Isma/librispeech_1000_seed_42,KETI-AIR/vqa,Karavet/ILUR-news-text-classification-corpus,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,Lacito/pangloss,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,MorVentura/TRBLLmaker,Muennighoff/flores200,Murple/mmcrsc,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,Nart/parallel-ab-ru,Pinguin/images,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,RAYZ/Mixed-Dia,RaphaelOlivier/whisper_adversarial_examples,Rodion/uno_sustainable_development_goals,SLPL/naab-raw,SamAct/medium_cleaned,Samip/Scotch,SaulLu/Natural_Questions_HTML_reduced_all,SetFit/mnli,SocialGrep/ten-million-reddit-answers,SocialGrep/the-reddit-climate-change-dataset,Sreyan88/librispeech_asr,TalTechNLP/VoxLingua107,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,VIMA/VIMA-Data,Voicemod/LibriTTS-100-preproc,Whispering-GPT/linustechtips-transcript-audio,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,Yehor/ukrainian-tts-lada,ZihaoLin/zhlds,albertvillanova/TextCaps,alkzar90/CC6204-Hackaton-Cub-Dataset,ami,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,arpelarpe/nota,asapp/slue,ashraf-ali/quran-data,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,backslashlim/LoRA-Datasets,bengaliAI/cvbn,benschill/brain-tumor-collection,beyond/chinese_clean_passages_80m,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/brill_iconclass,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,biglam/nls_chapbook_illustrations,bigscience/massive-probing-results,bio-datasets/e3c,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,castorini/msmarco_v1_passage_doc2query-t5_expansions,cats_vs_dogs,ccdv/arxiv-summarization,ccdv/cnn_dailymail,ccdv/mediasum,chenghao/scielo_books,chrisjay/mnist-adversarial-dataset,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,common_language,competition_math,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,cornell_movie_dialog,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,dalle-mini/YFCC100M_OpenAI_subset,darkproger/librispeech_asr,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,ds4sd/DocLayNet,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,evidence_infer_treatment,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,genjib/LAVISHData,gigant/african_accented_french,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,grasshoff/lhc_sents,guangguang/azukijpg,hebrew_projectbenyehuda,hr16/Miwano-Rag,huggan/anime-faces,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/MultiLegalPile_Wikipedia_Filtered,joelito/lextreme,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,keremberke/garbage-object-detection,keremberke/nfl-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,khalidalt/tydiqa-primary,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,lafi23333/ds,leviethoang/VBVLSP,lj_speech,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,miracl/miracl,momilla/Ethereum_transacitons,mozilla-foundation/common_voice_10_0,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mozilla-foundation/common_voice_7_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,mulcyber/europarl-mono,multilingual_librispeech,mwhanna/ACT-Thor,mwitiderrick/arXiv,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,nev/anime-giph,nishita/ade20k-sample,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,nyanko7/yandere-images,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,openslr,opus_euconst,orieg/elsevier-oa-cc-by,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,pragnakalp/squad_v2_french_translated,qanastek/MASSIVE,raghav66/whisper-gpt,reazon-research/reazonspeech,robertmyers/pile_v2,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,sanchit-gandhi/librispeech_asr_clean,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,society-ethics/lila_camera_traps,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,superb,tab_fact,tapaco,tau/mrqa,tau/scrolls,texturedesign/td01_natural-ground-textures,textvqa,tilos/ASR-CCANTCSC,tner/wikiann,turkic_xwmt,universal_morphologies,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,vctk,voidful/librispeech_asr_text,web_nlg,winvoker/lvis,wmt/europarl,xglue,yhavinga/ccmatrix,ywchoi/mdpi_sept10,z-uo/female-LJSpeech-italian,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
|
|
c4c3501355f12dbc982e119bd46c1f4b543f0de7
|
Quentin Lhoest
| 2023-07-20T13:17:35 |
Separate parquet metadata by split (#1533)
|
diff --git a/libs/libcommon/src/libcommon/viewer_utils/parquet_metadata.py b/libs/libcommon/src/libcommon/viewer_utils/parquet_metadata.py
index 2c5c248c..028d54ff 100644
--- a/libs/libcommon/src/libcommon/viewer_utils/parquet_metadata.py
+++ b/libs/libcommon/src/libcommon/viewer_utils/parquet_metadata.py
@@ -14,3 +14,5 @@ PARQUET_METADATA_DIR_MODE = 0o755
-def create_parquet_metadata_dir(dataset: str, config: str, parquet_metadata_directory: StrPath) -> Tuple[Path, str]:
- dir_path = Path(parquet_metadata_directory).resolve() / dataset / DATASET_SEPARATOR / config
- parquet_metadata_dir_subpath = f"{dataset}/{DATASET_SEPARATOR}/{config}"
+def create_parquet_metadata_dir(
+ dataset: str, config: str, split: str, parquet_metadata_directory: StrPath
+) -> Tuple[Path, str]:
+ dir_path = Path(parquet_metadata_directory).resolve() / dataset / DATASET_SEPARATOR / config / split
+ parquet_metadata_dir_subpath = f"{dataset}/{DATASET_SEPARATOR}/{config}/{split}"
@@ -23,0 +26 @@ def create_parquet_metadata_file(
+ split: str,
@@ -31,0 +35 @@ def create_parquet_metadata_file(
+ split=split,
diff --git a/services/worker/src/worker/job_runners/config/parquet_metadata.py b/services/worker/src/worker/job_runners/config/parquet_metadata.py
index e739b213..a89ca497 100644
--- a/services/worker/src/worker/job_runners/config/parquet_metadata.py
+++ b/services/worker/src/worker/job_runners/config/parquet_metadata.py
@@ -41,0 +42 @@ def create_parquet_metadata_file_from_remote_parquet(
+ split=parquet_file_item["split"],
diff --git a/services/worker/tests/job_runners/config/test_parquet_metadata.py b/services/worker/tests/job_runners/config/test_parquet_metadata.py
index 537e90c4..2808b419 100644
--- a/services/worker/tests/job_runners/config/test_parquet_metadata.py
+++ b/services/worker/tests/job_runners/config/test_parquet_metadata.py
@@ -120 +120 @@ def get_job_runner(
- parquet_metadata_subpath="ok/--/config_1/filename1",
+ parquet_metadata_subpath="ok/--/config_1/train/filename1",
@@ -130 +130 @@ def get_job_runner(
- parquet_metadata_subpath="ok/--/config_1/filename2",
+ parquet_metadata_subpath="ok/--/config_1/train/filename2",
|
|
39671925f6e172502e1b3771919fbd2237459dc4
|
Quentin Lhoest
| 2023-07-19T12:02:36 |
add Hub API convenience endpoint in parquet docs (#1526)
|
diff --git a/docs/source/parquet.mdx b/docs/source/parquet.mdx
index 927a5a1e..c9a20bc3 100644
--- a/docs/source/parquet.mdx
+++ b/docs/source/parquet.mdx
@@ -166 +166,122 @@ Big datasets are partitioned into Parquet files (shards) of about 500MB each. Th
-To read and query the Parquet files, take a look at the [Query datasets from Datasets Server](parquet_process) guide.
\ No newline at end of file
+To read and query the Parquet files, take a look at the [Query datasets from Datasets Server](parquet_process) guide.
+
+## Using the Hugging Face Hub API
+
+For convenience, you can directly use the Hugging Face Hub `/api/parquet` endpoint which returns the list of Parquet URLs:
+
+<inferencesnippet>
+<python>
+```python
+import requests
+headers = {"Authorization": f"Bearer {API_TOKEN}"}
+API_URL = "https://huggingface.co/api/datasets/duorc/parquet"
+def query():
+ response = requests.get(API_URL, headers=headers)
+ return response.json()
+urls = query()
+```
+</python>
+<js>
+```js
+import fetch from "node-fetch";
+async function query(data) {
+ const response = await fetch(
+ "https://huggingface.co/api/datasets/duorc/parquet",
+ {
+ headers: { Authorization: `Bearer ${API_TOKEN}` },
+ method: "GET"
+ }
+ );
+ const urls = await response.json();
+ return urls;
+}
+query().then((response) => {
+ console.log(JSON.stringify(response));
+});
+```
+</js>
+<curl>
+```curl
+curl https://huggingface.co/api/datasets/duorc/parquet \
+ -X GET \
+ -H "Authorization: Bearer ${API_TOKEN}"
+```
+</curl>
+</inferencesnippet>
+
+The endpoint response is a JSON containing a list of the dataset's files URLs in the Parquet format for each split and configuration. For example, the [`duorc`](https://huggingface.co/datasets/duorc) dataset has one Parquet file for the train split of the "ParaphraseRC" configuration (see the [List splits and configurations](./splits) guide for more details about splits and configurations).
+
+```json
+{
+ "ParaphraseRC": {
+ "test": [
+ "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-test.parquet"
+ ],
+ "train": [
+ "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-train.parquet"
+ ],
+ "validation": [
+ "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-validation.parquet"
+ ]
+ },
+ "SelfRC": {
+ "test": [
+ "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/SelfRC/duorc-test.parquet"
+ ],
+ "train": [
+ "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/SelfRC/duorc-train.parquet"
+ ],
+ "validation": [
+ "https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/SelfRC/duorc-validation.parquet"
+ ]
+ }
+}
+```
+
+Optionally you can specify which configuration name to return, as well as which split:
+
+<inferencesnippet>
+<python>
+```python
+import requests
+headers = {"Authorization": f"Bearer {API_TOKEN}"}
+API_URL = "https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/train"
+def query():
+ response = requests.get(API_URL, headers=headers)
+ return response.json()
+urls = query()
+```
+</python>
+<js>
+```js
+import fetch from "node-fetch";
+async function query(data) {
+ const response = await fetch(
+ "https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/train",
+ {
+ headers: { Authorization: `Bearer ${API_TOKEN}` },
+ method: "GET"
+ }
+ );
+ const urls = await response.json();
+ return urls;
+}
+query().then((response) => {
+ console.log(JSON.stringify(response));
+});
+```
+</js>
+<curl>
+```curl
+curl https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/train \
+ -X GET \
+ -H "Authorization: Bearer ${API_TOKEN}"
+```
+</curl>
+</inferencesnippet>
+
+```json
+["https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-train.parquet"]
+```
+
+Each parquet file can also be accessed using its shard index: `https://huggingface.co/api/datasets/duorc/parquet/ParaphraseRC/train/0.parquet` redirects to `https://huggingface.co/datasets/duorc/resolve/refs%2Fconvert%2Fparquet/ParaphraseRC/duorc-train.parquet` for example.
|
|
17afb711d8e9f6cd563de6de98e598e2d5235d48
|
Quentin Lhoest
| 2023-07-19T11:35:09 |
fix libapi in dev docker (#1531)
|
diff --git a/tools/docker-compose-dev-base.yml b/tools/docker-compose-dev-base.yml
index 59ed778e..96319ed2 100644
--- a/tools/docker-compose-dev-base.yml
+++ b/tools/docker-compose-dev-base.yml
@@ -46,0 +47 @@ services:
+ - ../libs/libapi/src:/src/libs/libapi/src
@@ -47,0 +49,9 @@ services:
+ rows:
+ extends:
+ service: common
+ environment:
+ NUMBA_CACHE_DIR: ${NUMBA_CACHE_DIR-/numba-cache}
+ # volumes to local source directory for development
+ volumes:
+ - ../libs/libapi/src:/src/libs/libapi/src
+ - ../services/rows/src:/src/services/rows/src
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index deafb635..aabcca1e 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -87 +87 @@ services:
- service: api
+ service: rows
|
|
8359f646a9679e6dc0d61e1b8346a33b1543b0cb
|
Andrea Francis Soria Jimenez
| 2023-07-18T20:49:54 |
Moving some /rows shared utils (#1530)
|
diff --git a/libs/libapi/pyproject.toml b/libs/libapi/pyproject.toml
index adc11924..42d43247 100644
--- a/libs/libapi/pyproject.toml
+++ b/libs/libapi/pyproject.toml
@@ -51,0 +52 @@ module = [
+ "datasets.*",
@@ -52,0 +54 @@ module = [
+ "pyarrow.*"
diff --git a/libs/libapi/src/libapi/exceptions.py b/libs/libapi/src/libapi/exceptions.py
index b867f9de..2f14c6fd 100644
--- a/libs/libapi/src/libapi/exceptions.py
+++ b/libs/libapi/src/libapi/exceptions.py
@@ -19,0 +20 @@ ApiErrorCode = Literal[
+ "TransformRowsProcessingError",
@@ -100,0 +102,7 @@ class ResponseNotReadyError(ApiError):
+class TransformRowsProcessingError(ApiError):
+ """Raised when there was an error when transforming rows to list."""
+
+ def __init__(self, message: str, cause: Optional[BaseException] = None):
+ super().__init__(message, HTTPStatus.INTERNAL_SERVER_ERROR, "TransformRowsProcessingError", cause, True)
+
+
diff --git a/libs/libapi/src/libapi/utils.py b/libs/libapi/src/libapi/utils.py
index 65e7f50f..11837371 100644
--- a/libs/libapi/src/libapi/utils.py
+++ b/libs/libapi/src/libapi/utils.py
@@ -7,0 +8,2 @@ from typing import Any, Callable, Coroutine, List, Optional
+import pyarrow as pa
+from datasets import Features
@@ -12 +14,3 @@ from libcommon.processing_graph import ProcessingGraph, ProcessingStep
-from libcommon.utils import Priority, orjson_dumps
+from libcommon.rows_utils import transform_rows
+from libcommon.storage import StrPath
+from libcommon.utils import Priority, RowItem, orjson_dumps
@@ -16 +20,5 @@ from starlette.responses import JSONResponse, Response
-from libapi.exceptions import ResponseNotFoundError, ResponseNotReadyError
+from libapi.exceptions import (
+ ResponseNotFoundError,
+ ResponseNotReadyError,
+ TransformRowsProcessingError,
+)
@@ -121,0 +130,41 @@ Endpoint = Callable[[Request], Coroutine[Any, Any, Response]]
+
+
+def to_rows_list(
+ pa_table: pa.Table,
+ dataset: str,
+ config: str,
+ split: str,
+ cached_assets_base_url: str,
+ cached_assets_directory: StrPath,
+ offset: int,
+ features: Features,
+ unsupported_columns: List[str],
+) -> List[RowItem]:
+ num_rows = pa_table.num_rows
+ for idx, (column, feature) in enumerate(features.items()):
+ if column in unsupported_columns:
+ pa_table = pa_table.add_column(idx, column, pa.array([None] * num_rows))
+ # transform the rows, if needed (e.g. save the images or audio to the assets, and return their URL)
+ try:
+ transformed_rows = transform_rows(
+ dataset=dataset,
+ config=config,
+ split=split,
+ rows=pa_table.to_pylist(),
+ features=features,
+ cached_assets_base_url=cached_assets_base_url,
+ cached_assets_directory=cached_assets_directory,
+ offset=offset,
+ )
+ except Exception as err:
+ raise TransformRowsProcessingError(
+ "Server error while post-processing the split rows. Please report the issue."
+ ) from err
+ return [
+ {
+ "row_idx": idx + offset,
+ "row": row,
+ "truncated_cells": [],
+ }
+ for idx, row in enumerate(transformed_rows)
+ ]
diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py
index 00105f80..98605220 100644
--- a/libs/libcommon/src/libcommon/parquet_utils.py
+++ b/libs/libcommon/src/libcommon/parquet_utils.py
@@ -6 +5,0 @@ from functools import lru_cache, partial
-from os import PathLike
@@ -19,2 +18 @@ from libcommon.simple_cache import get_previous_step_or_raise
-
-StrPath = Union[str, PathLike[str]]
+from libcommon.storage import StrPath
diff --git a/libs/libcommon/src/libcommon/rows_utils.py b/libs/libcommon/src/libcommon/rows_utils.py
new file mode 100644
index 00000000..4dac9c80
--- /dev/null
+++ b/libs/libcommon/src/libcommon/rows_utils.py
@@ -0,0 +1,39 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2023 The HuggingFace Authors.
+
+from typing import List
+
+from datasets import Features
+
+from libcommon.storage import StrPath
+from libcommon.utils import Row
+from libcommon.viewer_utils.features import get_cell_value
+
+
+def transform_rows(
+ dataset: str,
+ config: str,
+ split: str,
+ rows: List[Row],
+ features: Features,
+ cached_assets_base_url: str,
+ cached_assets_directory: StrPath,
+ offset: int,
+) -> List[Row]:
+ return [
+ {
+ featureName: get_cell_value(
+ dataset=dataset,
+ config=config,
+ split=split,
+ row_idx=offset + row_idx,
+ cell=row[featureName] if featureName in row else None,
+ featureName=featureName,
+ fieldType=fieldType,
+ assets_base_url=cached_assets_base_url,
+ assets_directory=cached_assets_directory,
+ )
+ for (featureName, fieldType) in features.items()
+ }
+ for row_idx, row in enumerate(rows)
+ ]
diff --git a/libs/libcommon/src/libcommon/utils.py b/libs/libcommon/src/libcommon/utils.py
index 1fe129e7..2e5af029 100644
--- a/libs/libcommon/src/libcommon/utils.py
+++ b/libs/libcommon/src/libcommon/utils.py
@@ -9 +9 @@ from http import HTTPStatus
-from typing import Any, Mapping, Optional, TypedDict
+from typing import Any, List, Mapping, Optional, TypedDict
@@ -78,0 +79,15 @@ class SplitHubFile(TypedDict):
+class RowItem(TypedDict):
+ row_idx: int
+ row: Mapping[str, Any]
+ truncated_cells: List[str]
+
+
+Row = Mapping[str, Any]
+
+
+class FeatureItem(TypedDict):
+ feature_idx: int
+ name: str
+ type: Row
+
+
diff --git a/libs/libcommon/src/libcommon/viewer_utils/features.py b/libs/libcommon/src/libcommon/viewer_utils/features.py
index 3bd2702f..c85eb38e 100644
--- a/libs/libcommon/src/libcommon/viewer_utils/features.py
+++ b/libs/libcommon/src/libcommon/viewer_utils/features.py
@@ -15,0 +16 @@ from datasets import (
+ Features,
@@ -25,0 +27 @@ from libcommon.storage import StrPath
+from libcommon.utils import FeatureItem
@@ -279,0 +282,19 @@ def get_cell_value(
+
+
+# in JSON, dicts do not carry any order, so we need to return a list
+#
+# > An object is an *unordered* collection of zero or more name/value pairs, where a name is a string and a value
+# is a string, number, boolean, null, object, or array.
+# > An array is an *ordered* sequence of zero or more values.
+# > The terms "object" and "array" come from the conventions of JavaScript.
+# from https://stackoverflow.com/a/7214312/7351594 / https://www.rfc-editor.org/rfc/rfc7159.html
+def to_features_list(features: Features) -> List[FeatureItem]:
+ features_dict = features.to_dict()
+ return [
+ {
+ "feature_idx": idx,
+ "name": name,
+ "type": features_dict[name],
+ }
+ for idx, name in enumerate(features)
+ ]
diff --git a/services/rows/src/rows/routes/rows.py b/services/rows/src/rows/routes/rows.py
index efa0a503..d6f9f578 100644
--- a/services/rows/src/rows/routes/rows.py
+++ b/services/rows/src/rows/routes/rows.py
@@ -9 +9 @@ from itertools import islice
-from typing import Any, List, Literal, Mapping, Optional, TypedDict, Union
+from typing import Any, List, Literal, Optional, Union
@@ -25,0 +26 @@ from libapi.utils import (
+ to_rows_list,
@@ -28 +29 @@ from libapi.utils import (
-from libcommon.parquet_utils import Indexer, StrPath
+from libcommon.parquet_utils import Indexer
@@ -31,0 +33 @@ from libcommon.simple_cache import CachedArtifactError
+from libcommon.storage import StrPath
@@ -36 +38 @@ from libcommon.viewer_utils.asset import (
-from libcommon.viewer_utils.features import get_cell_value
+from libcommon.viewer_utils.features import to_features_list
@@ -46,4 +47,0 @@ MAX_ROWS = 100
-class ParquetDataProcessingError(Exception):
- pass
-
-
@@ -55,103 +52,0 @@ UNSUPPORTED_FEATURES_MAGIC_STRINGS = ["'binary'", "Audio("]
-Row = Mapping[str, Any]
-
-
-class FeatureItem(TypedDict):
- feature_idx: int
- name: str
- type: Row
-
-
-# in JSON, dicts do not carry any order, so we need to return a list
-#
-# > An object is an *unordered* collection of zero or more name/value pairs, where a name is a string and a value
-# is a string, number, boolean, null, object, or array.
-# > An array is an *ordered* sequence of zero or more values.
-# > The terms "object" and "array" come from the conventions of JavaScript.
-# from https://stackoverflow.com/a/7214312/7351594 / https://www.rfc-editor.org/rfc/rfc7159.html
-def to_features_list(features: Features) -> List[FeatureItem]:
- features_dict = features.to_dict()
- return [
- {
- "feature_idx": idx,
- "name": name,
- "type": features_dict[name],
- }
- for idx, name in enumerate(features)
- ]
-
-
-class RowItem(TypedDict):
- row_idx: int
- row: Mapping[str, Any]
- truncated_cells: List[str]
-
-
-def to_rows_list(
- pa_table: pa.Table,
- dataset: str,
- config: str,
- split: str,
- cached_assets_base_url: str,
- cached_assets_directory: StrPath,
- offset: int,
- features: Features,
- unsupported_columns: List[str],
-) -> List[RowItem]:
- num_rows = pa_table.num_rows
- for idx, (column, feature) in enumerate(features.items()):
- if column in unsupported_columns:
- pa_table = pa_table.add_column(idx, column, pa.array([None] * num_rows))
- # transform the rows, if needed (e.g. save the images or audio to the assets, and return their URL)
- try:
- transformed_rows = transform_rows(
- dataset=dataset,
- config=config,
- split=split,
- rows=pa_table.to_pylist(),
- features=features,
- cached_assets_base_url=cached_assets_base_url,
- cached_assets_directory=cached_assets_directory,
- offset=offset,
- )
- except Exception as err:
- raise ParquetDataProcessingError(
- "Server error while post-processing the split rows. Please report the issue."
- ) from err
- return [
- {
- "row_idx": idx + offset,
- "row": row,
- "truncated_cells": [],
- }
- for idx, row in enumerate(transformed_rows)
- ]
-
-
-def transform_rows(
- dataset: str,
- config: str,
- split: str,
- rows: List[Row],
- features: Features,
- cached_assets_base_url: str,
- cached_assets_directory: StrPath,
- offset: int,
-) -> List[Row]:
- return [
- {
- featureName: get_cell_value(
- dataset=dataset,
- config=config,
- split=split,
- row_idx=offset + row_idx,
- cell=row[featureName] if featureName in row else None,
- featureName=featureName,
- fieldType=fieldType,
- assets_base_url=cached_assets_base_url,
- assets_directory=cached_assets_directory,
- )
- for (featureName, fieldType) in features.items()
- }
- for row_idx, row in enumerate(rows)
- ]
-
diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py
index ad008a4b..859ffadb 100644
--- a/services/worker/src/worker/dtos.py
+++ b/services/worker/src/worker/dtos.py
@@ -7 +7 @@ from typing import Any, Dict, List, Mapping, Optional, TypedDict
-from libcommon.utils import SplitHubFile
+from libcommon.utils import FeatureItem, RowItem, SplitHubFile
@@ -61,12 +60,0 @@ class PreviousJob(SplitItem):
-class FeatureItem(TypedDict):
- feature_idx: int
- name: str
- type: Mapping[str, Any]
-
-
-class RowItem(TypedDict):
- row_idx: int
- row: Mapping[str, Any]
- truncated_cells: List[str]
-
-
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
index ba42e24e..472eae18 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_parquet.py
@@ -21,2 +21,2 @@ from libcommon.storage import StrPath
-from libcommon.utils import JobInfo
-from libcommon.viewer_utils.features import get_cell_value
+from libcommon.utils import JobInfo, RowItem
+from libcommon.viewer_utils.features import get_cell_value, to_features_list
@@ -25,7 +25 @@ from worker.config import AppConfig, FirstRowsConfig
-from worker.dtos import (
- CompleteJobResult,
- JobRunnerInfo,
- Row,
- RowItem,
- SplitFirstRowsResponse,
-)
+from worker.dtos import CompleteJobResult, JobRunnerInfo, Row, SplitFirstRowsResponse
@@ -33 +27 @@ from worker.job_runners.split.split_job_runner import SplitJobRunner
-from worker.utils import create_truncated_row_items, get_json_size, to_features_list
+from worker.utils import create_truncated_row_items, get_json_size
diff --git a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
index a9694d04..4ae1ec0b 100644
--- a/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
+++ b/services/worker/src/worker/job_runners/split/first_rows_from_streaming.py
@@ -33 +33 @@ from libcommon.utils import JobInfo
-from libcommon.viewer_utils.features import get_cell_value
+from libcommon.viewer_utils.features import get_cell_value, to_features_list
@@ -38,6 +38 @@ from worker.job_runners.split.split_job_runner import SplitJobRunnerWithDatasets
-from worker.utils import (
- create_truncated_row_items,
- get_json_size,
- get_rows_or_raise,
- to_features_list,
-)
+from worker.utils import create_truncated_row_items, get_json_size, get_rows_or_raise
diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py
index 56308fc3..93eca415 100644
--- a/services/worker/src/worker/utils.py
+++ b/services/worker/src/worker/utils.py
@@ -25,8 +25 @@ import requests
-from datasets import (
- Dataset,
- DatasetInfo,
- DownloadConfig,
- Features,
- IterableDataset,
- load_dataset,
-)
+from datasets import Dataset, DatasetInfo, DownloadConfig, IterableDataset, load_dataset
@@ -42 +35 @@ from libcommon.exceptions import (
-from libcommon.utils import orjson_dumps
+from libcommon.utils import Row, RowItem, orjson_dumps
@@ -45 +38 @@ from pyarrow.parquet import ParquetFile
-from worker.dtos import FeatureItem, Row, RowItem, RowsContent
+from worker.dtos import RowsContent
@@ -51,19 +43,0 @@ MAX_IMAGE_PIXELS = 10_000_000_000
-# in JSON, dicts do not carry any order, so we need to return a list
-#
-# > An object is an *unordered* collection of zero or more name/value pairs, where a name is a string and a value
-# is a string, number, boolean, null, object, or array.
-# > An array is an *ordered* sequence of zero or more values.
-# > The terms "object" and "array" come from the conventions of JavaScript.
-# from https://stackoverflow.com/a/7214312/7351594 / https://www.rfc-editor.org/rfc/rfc7159.html
-def to_features_list(features: Features) -> List[FeatureItem]:
- features_dict = features.to_dict()
- return [
- {
- "feature_idx": idx,
- "name": name,
- "type": features_dict[name],
- }
- for idx, name in enumerate(features)
- ]
-
-
|
|
c8746cda40438ab386304da5ab3378b1b76ee788
|
Andrea Francis Soria Jimenez
| 2023-07-18T20:20:00 |
Update dependencies cryptography and scipy (#1525)
|
diff --git a/e2e/tests/fixtures/hub.py b/e2e/tests/fixtures/hub.py
index 4d960ac7..f31f1529 100644
--- a/e2e/tests/fixtures/hub.py
+++ b/e2e/tests/fixtures/hub.py
@@ -30,2 +30,2 @@ CI_HUB_USER_SESSION_TOKEN = (
- "oMidckPVQYumfKrAHNYKqnbacRoLaMppHRRlfNbupNahzAHCz"
- "InBVbhgGosDneYXHVTKkkWygoMDxBfFUkFPIPiVWBtZtSTYIYTScnEKAJYkyGBAcbVTbokAygCCTWvH"
+ "ePTgRpKDHjwQZylcViCgFywZqECKWIutEsEercqQPAeADPKGt"
+ "CLuLEvMpNIGhruoHbnIbDhGLlpTpTlZhOygCpHzbfTHboxEwuPdlHjNlfcxFuYHvfSivfoBXQxWUUek"
diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock
index 0de28c38..75d6c3b1 100644
--- a/front/admin_ui/poetry.lock
+++ b/front/admin_ui/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry and should not be changed by hand.
@@ -2649 +2649 @@ name = "scipy"
-version = "1.10.1"
+version = "1.11.1"
@@ -2653,23 +2653,21 @@ optional = false
-python-versions = "<3.12,>=3.8"
-files = [
- {file = "scipy-1.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e7354fd7527a4b0377ce55f286805b34e8c54b91be865bac273f527e1b839019"},
- {file = "scipy-1.10.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:4b3f429188c66603a1a5c549fb414e4d3bdc2a24792e061ffbd607d3d75fd84e"},
- {file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1553b5dcddd64ba9a0d95355e63fe6c3fc303a8fd77c7bc91e77d61363f7433f"},
- {file = "scipy-1.10.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c0ff64b06b10e35215abce517252b375e580a6125fd5fdf6421b98efbefb2d2"},
- {file = "scipy-1.10.1-cp310-cp310-win_amd64.whl", hash = "sha256:fae8a7b898c42dffe3f7361c40d5952b6bf32d10c4569098d276b4c547905ee1"},
- {file = "scipy-1.10.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0f1564ea217e82c1bbe75ddf7285ba0709ecd503f048cb1236ae9995f64217bd"},
- {file = "scipy-1.10.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:d925fa1c81b772882aa55bcc10bf88324dadb66ff85d548c71515f6689c6dac5"},
- {file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aaea0a6be54462ec027de54fca511540980d1e9eea68b2d5c1dbfe084797be35"},
- {file = "scipy-1.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:15a35c4242ec5f292c3dd364a7c71a61be87a3d4ddcc693372813c0b73c9af1d"},
- {file = "scipy-1.10.1-cp311-cp311-win_amd64.whl", hash = "sha256:43b8e0bcb877faf0abfb613d51026cd5cc78918e9530e375727bf0625c82788f"},
- {file = "scipy-1.10.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5678f88c68ea866ed9ebe3a989091088553ba12c6090244fdae3e467b1139c35"},
- {file = "scipy-1.10.1-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:39becb03541f9e58243f4197584286e339029e8908c46f7221abeea4b749fa88"},
- {file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bce5869c8d68cf383ce240e44c1d9ae7c06078a9396df68ce88a1230f93a30c1"},
- {file = "scipy-1.10.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07c3457ce0b3ad5124f98a86533106b643dd811dd61b548e78cf4c8786652f6f"},
- {file = "scipy-1.10.1-cp38-cp38-win_amd64.whl", hash = "sha256:049a8bbf0ad95277ffba9b3b7d23e5369cc39e66406d60422c8cfef40ccc8415"},
- {file = "scipy-1.10.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:cd9f1027ff30d90618914a64ca9b1a77a431159df0e2a195d8a9e8a04c78abf9"},
- {file = "scipy-1.10.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:79c8e5a6c6ffaf3a2262ef1be1e108a035cf4f05c14df56057b64acc5bebffb6"},
- {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51af417a000d2dbe1ec6c372dfe688e041a7084da4fdd350aeb139bd3fb55353"},
- {file = "scipy-1.10.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1b4735d6c28aad3cdcf52117e0e91d6b39acd4272f3f5cd9907c24ee931ad601"},
- {file = "scipy-1.10.1-cp39-cp39-win_amd64.whl", hash = "sha256:7ff7f37b1bf4417baca958d254e8e2875d0cc23aaadbe65b3d5b3077b0eb23ea"},
- {file = "scipy-1.10.1.tar.gz", hash = "sha256:2cf9dfb80a7b4589ba4c40ce7588986d6d5cebc5457cad2c2880f6bc2d42f3a5"},
+python-versions = "<3.13,>=3.9"
+files = [
+ {file = "scipy-1.11.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:aec8c62fbe52914f9cf28d846cf0401dd80ab80788bbab909434eb336ed07c04"},
+ {file = "scipy-1.11.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:3b9963798df1d8a52db41a6fc0e6fa65b1c60e85d73da27ae8bb754de4792481"},
+ {file = "scipy-1.11.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3e8eb42db36526b130dfbc417609498a6192381abc1975b91e3eb238e0b41c1a"},
+ {file = "scipy-1.11.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:366a6a937110d80dca4f63b3f5b00cc89d36f678b2d124a01067b154e692bab1"},
+ {file = "scipy-1.11.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:08d957ca82d3535b3b9ba6c8ff355d78fe975271874e2af267cb5add5bd78625"},
+ {file = "scipy-1.11.1-cp310-cp310-win_amd64.whl", hash = "sha256:e866514bc2d660608447b6ba95c8900d591f2865c07cca0aa4f7ff3c4ca70f30"},
+ {file = "scipy-1.11.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ba94eeef3c9caa4cea7b402a35bb02a5714ee1ee77eb98aca1eed4543beb0f4c"},
+ {file = "scipy-1.11.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:512fdc18c65f76dadaca139348e525646d440220d8d05f6d21965b8d4466bccd"},
+ {file = "scipy-1.11.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cce154372f0ebe88556ed06d7b196e9c2e0c13080ecb58d0f35062dc7cc28b47"},
+ {file = "scipy-1.11.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b4bb943010203465ac81efa392e4645265077b4d9e99b66cf3ed33ae12254173"},
+ {file = "scipy-1.11.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:249cfa465c379c9bb2c20123001e151ff5e29b351cbb7f9c91587260602c58d0"},
+ {file = "scipy-1.11.1-cp311-cp311-win_amd64.whl", hash = "sha256:ffb28e3fa31b9c376d0fb1f74c1f13911c8c154a760312fbee87a21eb21efe31"},
+ {file = "scipy-1.11.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:39154437654260a52871dfde852adf1b93b1d1bc5dc0ffa70068f16ec0be2624"},
+ {file = "scipy-1.11.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:b588311875c58d1acd4ef17c983b9f1ab5391755a47c3d70b6bd503a45bfaf71"},
+ {file = "scipy-1.11.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d51565560565a0307ed06fa0ec4c6f21ff094947d4844d6068ed04400c72d0c3"},
+ {file = "scipy-1.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b41a0f322b4eb51b078cb3441e950ad661ede490c3aca66edef66f4b37ab1877"},
+ {file = "scipy-1.11.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:396fae3f8c12ad14c5f3eb40499fd06a6fef8393a6baa352a652ecd51e74e029"},
+ {file = "scipy-1.11.1-cp39-cp39-win_amd64.whl", hash = "sha256:be8c962a821957fdde8c4044efdab7a140c13294997a407eaee777acf63cbf0c"},
+ {file = "scipy-1.11.1.tar.gz", hash = "sha256:fb5b492fa035334fd249f0973cc79ecad8b09c604b42a127a677b45a9a3d4289"},
@@ -2679 +2677 @@ files = [
-numpy = ">=1.19.5,<1.27.0"
+numpy = ">=1.21.6,<1.28.0"
@@ -2682,2 +2680,2 @@ numpy = ">=1.19.5,<1.27.0"
-dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
-doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
+dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock
index acc68895..53723665 100644
--- a/jobs/cache_maintenance/poetry.lock
+++ b/jobs/cache_maintenance/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry and should not be changed by hand.
@@ -2453 +2453 @@ name = "scipy"
-version = "1.10.1"
+version = "1.11.1"
@@ -2457,23 +2457,21 @@ optional = false
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@@ -4358 +4356 @@ files = [
-numpy = ">=1.19.5,<1.27.0"
+numpy = ">=1.21.6,<1.28.0"
@@ -4361,2 +4359,2 @@ numpy = ">=1.19.5,<1.27.0"
-dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"]
-doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
+dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
+doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
|
|
1a660191ba0a51d708b917b8cfe734ef77178f2d
|
Sylvain Lesage
| 2023-07-18T19:12:03 |
feat: 🎸 unblock allenai/c4 (#1529)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 2e1bf021..f57408ce 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -116 +116 @@ parquetAndInfo:
- blockedDatasets: "matallanas/linustechtips-transcript-audio-wav,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,ashraf-ali/quran-data,cjvt/cc_gigafida,cmudrc/porous-microstructure-strain-fields,dlwh/MultiLegalPile_Wikipedia_Shuffled,izumaru/os2-datasets,joelito/MultiLegalPile_Wikipedia_Filtered,leviethoang/VBVLSP,nyanko7/yandere-images,severo/wit,texturedesign/td01_natural-ground-textures,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,Whispering-GPT/linustechtips-transcript-audio,beyond/chinese_clean_passages_80m,bigscience/xP3,dalle-mini/YFCC100M_OpenAI_subset,galman33/gal_yair_166000_256x256_fixed,matallanas/linustechtips-transcript-audio-mp3,mwitiderrick/arXiv,sjpmpzx/qm_ly_gy_soundn,tilos/ASR-CCANTCSC,matallanas/linustechtips-transcript-audio-ogg,VIMA/VIMA-Data,severo/wit,wmt/europarl,chrisjay/mnist-adversarial-dataset,mwitiderrick/arXiv,HuggingFaceM4/TextCaps,CristianaLazar/librispeech5k_train,texturedesign/td01_natural-ground-textures,cjvt/cc_gigafida,Yehor/ukrainian-tts-lada,YWjimmy/PeRFception-v1,SDbiaseval/dataset-dalle,Pinguin/images,DTU54DL/librispeech5k-augmentated-train-prepared,CristianaLazar/librispeech500,abdusahmbzuai/masc_dev,anonymousdeepcc/DeepCC,bigcode/the-stack-username-to-repo,bigscience/massive-probing-results,dgrnd4/stanford_dog_dataset,gigant/romanian_speech_synthesis_0_8_1,helena-balabin/sentences,icelab/ntrs_meta,joefox/Mozilla_Common_Voice_ru_test_noise,m-aliabbas/idrak_splitted_amy_1,marinone94/nst_sv,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,momilla/Ethereum_transacitons,nev/anime-giph,openclimatefix/nimrod-uk-1km-validation,raghav66/whisper-gpt,strombergnlp/broad_twitter_corpus,z-uo/female-LJSpeech-italian,Champion/vpc2020_clear_anon_speech,DelgadoPanadero/Pokemon,GEM/references,HuggingFaceM4/FairFace,Karavet/ILUR-news-text-classification-corpus,Voicemod/LibriTTS-100-preproc,YWjimmy/PeRFception-v1-1,albertvillanova/TextCaps,allenai/c4,dog/punks,chenghao/scielo_books,YWjimmy/PeRFception-v1-2,openclimatefix/era5,Carlisle/msmarco-passage-non-abs,SetFit/mnli,valurank/PoliticalBias_AllSides_Txt,Biomedical-TeMU/ProfNER_corpus_classification,LeoFeng/MLHW_6,pragnakalp/squad_v2_french_translated,textvqa,polinaeterna/vox_lingua,nishita/ade20k-sample,oyk100/ChaSES-data,YWjimmy/PeRFception-v1-3,YWjimmy/PeRFception-ScanNet,ChaiML/AnthropicRLHFPreferenceData,voidful/librispeech_asr_text,Isma/librispeech_1000_seed_42,Graphcore/vqa-lxmert,Tevatron/wikipedia-curated-corpus,adamlin/daily_dialog,cameronbc/synthtiger,clarin-pl/multiwiki_90k,echarlaix/vqa-lxmert,gigant/african_accented_french,Graphcore/vqa,echarlaix/vqa,jimregan/clarinpl_studio,GEM/xsum,Tevatron/wikipedia-squad-corpus,mulcyber/europarl-mono,nateraw/wit,bigscience/P3,tau/mrqa,uva-irlab/trec-cast-2019-multi-turn,vblagoje/wikipedia_snippets_streamed,Tevatron/wikipedia-wq-corpus,malteos/paperswithcode-aspects,Samip/Scotch,iluvvatar/RuREBus,nateraw/quickdraw,tau/scrolls,qanastek/MASSIVE,TalTechNLP/VoxLingua107,shanya/crd3,HugoLaurencon/libri_light,jerpint/imagenette,Leyo/TGIF,crystina-z/msmarco-passage-dl20,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/yttemporal180m,andreagasparini/librispeech_train_other_only,allenai/nllb,biglam/nls_chapbook_illustrations,winvoker/lvis,Lacito/pangloss,indonesian-nlp/librivox-indonesia,Graphcore/gqa-lxmert,nanom/splittedspanish3bwc,cahya/librivox-indonesia,asapp/slue,sil-ai/audio-keyword-spotting,tner/wikiann,rogerdehe/xfund,arpelarpe/nota,mwhanna/ACT-Thor,sanchit-gandhi/librispeech_asr_clean,echarlaix/gqa-lxmert,shunk031/cocostuff,gigant/m-ailabs_speech_dataset_fr,jimregan/clarinpl_sejmsenat,1aurent/icdar-2011,marinone94/nst_no,jamescalam/unsplash-25k-images,stas/openwebtext-10k,florianbussmann/train_tickets-yu2020pick,benschill/brain-tumor-collection,imvladikon/paranames,PolyAI/evi,bengaliAI/cvbn,Sreyan88/librispeech_asr,superb,mozilla-foundation/common_voice_10_0,darkproger/librispeech_asr,kresnik/librispeech_asr_test,Lehrig/Monkey-Species-Collection,HuggingFaceM4/TGIF,crystina-z/miracl-bm25-negative,cats_vs_dogs,biglam/gallica_literary_fictions,common_language,competition_math,cornell_movie_dialog,evidence_infer_treatment,hebrew_projectbenyehuda,lj_speech,mc4,muchocine,opus_euconst,tab_fact,the_pile,tapaco,turkic_xwmt,web_nlg,vctk,mathaillah/BeritaHoaks-NonHoaks,universal_morphologies,LanceaKing/asvspoof2019,andreagasparini/librispeech_train_clean_only,nuprl/MultiPL-E,SLPL/naab-raw,mteb/results,SocialGrep/the-reddit-climate-change-dataset,bigscience-biomedical/anat_em,crystina-z/xor-tydi-corpus,qanastek/QUAERO,TomTBT/pmc_open_access_section,jamescalam/movielens-25m-ratings,HuggingFaceM4/charades,Tevatron/xor-tydi-corpus,khalidalt/tydiqa-primary,nvm472001/cvdataset-layoutlmv3,Lehrig/GTZAN-Collection,mteb/tatoeba-bitext-mining,sled-umich/Action-Effect,HamdiJr/Egyptian_hieroglyphs,joelito/lextreme,cooleel/xfund_de,mozilla-foundation/common_voice_7_0,KETI-AIR/vqa,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,miracl/miracl,Muennighoff/flores200,Murple/mmcrsc,mesolitica/dbp,CodedotAI/code_clippy,keshan/clean-si-mc4,yhavinga/ccmatrix,metashift,google/fleurs,HugoLaurencon/libri_light_bytes,biwi_kinect_head_pose,ami,bigscience-biomedical/ebm_pico,HuggingFaceM4/general-pmd-synthetic-testing,crystina-z/mmarco,robertmyers/pile_v2,bigbio/anat_em,biglam/early_printed_books_font_detection,nateraw/imagenet-sketch,jpwahle/dblp-discovery-dataset,andreagasparini/librispeech_test_only,crystina-z/mmarco-corpus,mozilla-foundation/common_voice_6_0,biglam/brill_iconclass,bigscience-biomedical/evidence_inference,HuggingFaceM4/cm4-synthetic-testing,SocialGrep/ten-million-reddit-answers,bnl_newspapers,multilingual_librispeech,openslr,GEM/BiSECT,Graphcore/gqa,SaulLu/Natural_Questions_HTML_reduced_all,ccdv/cnn_dailymail,mozilla-foundation/common_voice_1_0,huggan/anime-faces,Biomedical-TeMU/ProfNER_corpus_NER,MorVentura/TRBLLmaker,student/celebA,Rodion/uno_sustainable_development_goals,Nart/parallel-ab-ru,HuggingFaceM4/VQAv2,mesolitica/noisy-ms-en-augmentation,nateraw/rice-image-dataset,tensorcat/wikipedia-japanese,angelolab/ark_example,RAYZ/Mixed-Dia,ywchoi/mdpi_sept10,TomTBT/pmc_open_access_figure,society-ethics/lila_camera_traps,autoevaluator/shoes-vs-sandals-vs-boots,cjvt/slo_collocations,parambharat/mile_dataset,rossevine/tesis,ksaml/Stanford_dogs,nuprl/MultiPL-E-raw-data,ZihaoLin/zhlds,ACL-OCL/acl-anthology-corpus,mozilla-foundation/common_voice_2_0,Biomedical-TeMU/SPACCC_Sentence-Splitter,nateraw/rice-image-dataset-2,mesolitica/noisy-en-ms-augmentation,bigbio/ctebmsp,bigbio/distemist,nlphuji/vasr,parambharat/malayalam_asr_corpus,cjvt/sloleks,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,KokeCacao/oracle,keremberke/nfl-object-detection,lafi23333/ds,Lykon/OnePiece,kaliansh/sdaia,sil-ai/audio-kw-in-context,andite/riyo-tag,ilhanemirhan/eee543,backslashlim/LoRA-Datasets,hr16/Miwano-Rag,ccdv/mediasum,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,bigbio/ebm_pico,parambharat/kannada_asr_corpus,parambharat/telugu_asr_corpus,Abuelnour/json_1000_Scientific_Paper,reazon-research/reazonspeech,shunk031/livedoor-news-corpus,mesolitica/translated-SQUAD,SamAct/medium_cleaned,EfaceD/ElysiumInspirations,cahya/fleurs,guangguang/azukijpg,genjib/LAVISHData,rohitp1/librispeech_asr_clean,azraahmadi/autotrain-data-xraydatasetp2,HuggingFaceM4/COCO,bio-datasets/e3c,nateraw/auto-cats-and-dogs,keremberke/smoke-object-detection,ds4sd/DocLayNet,nlphuji/utk_faces,corentinm7/MyoQuant-SDH-Data,xglue,grasshoff/lhc_sents,HugoLaurencon/IIIT-5K,alkzar90/CC6204-Hackaton-Cub-Dataset,RaphaelOlivier/whisper_adversarial_examples,bruno-cotrim/arch-max,keshan/multispeaker-tts-sinhala,Tevatron/beir-corpus,fcakyon/gun-object-detection,ccdv/arxiv-summarization,keremberke/protective-equipment-detection,mozilla-foundation/common_voice_5_0,nlphuji/winogavil,Poupou/Gitcoin-Grant-DataBuilder,orieg/elsevier-oa-cc-by,castorini/msmarco_v1_passage_doc2query-t5_expansions,inseq/divemt_attributions,crystina-z/msmarco-passage-dl19,mozilla-foundation/common_voice_5_1,matchbench/dbp15k-fr-en,keremberke/garbage-object-detection,crystina-z/no-nonself-mrtydi,ashraq/dhivehi-corpus,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking,Tevatron/wikipedia-squad,Tevatron/wikipedia-trivia-corpus,NeuroSenko/senko_anime_full,plncmm/wl-disease,plncmm/wl-family-member"
+ blockedDatasets: "1aurent/icdar-2011,abdusahmbzuai/masc_dev,Abuelnour/json_1000_Scientific_Paper,ACL-OCL/acl-anthology-corpus,adamlin/daily_dialog,albertvillanova/TextCaps,alkzar90/CC6204-Hackaton-Cub-Dataset,allenai/nllb,ami,andite/riyo-tag,andreagasparini/librispeech_test_only,andreagasparini/librispeech_train_clean_only,andreagasparini/librispeech_train_other_only,angelolab/ark_example,anonymousdeepcc/DeepCC,arpelarpe/nota,asapp/slue,ashraf-ali/quran-data,ashraq/dhivehi-corpus,autoevaluator/shoes-vs-sandals-vs-boots,azraahmadi/autotrain-data-xraydatasetp2,backslashlim/LoRA-Datasets,bengaliAI/cvbn,benschill/brain-tumor-collection,beyond/chinese_clean_passages_80m,bigbio/anat_em,bigbio/ctebmsp,bigbio/distemist,bigbio/ebm_pico,bigcode/the-stack-username-to-repo,biglam/brill_iconclass,biglam/early_printed_books_font_detection,biglam/gallica_literary_fictions,biglam/nls_chapbook_illustrations,bigscience-biomedical/anat_em,bigscience-biomedical/ebm_pico,bigscience-biomedical/evidence_inference,bigscience/massive-probing-results,bigscience/P3,bigscience/xP3,bio-datasets/e3c,Biomedical-TeMU/ProfNER_corpus_classification,Biomedical-TeMU/ProfNER_corpus_NER,Biomedical-TeMU/SPACCC_Sentence-Splitter,biwi_kinect_head_pose,bnl_newspapers,bruno-cotrim/arch-max,cahya/fleurs,cahya/librivox-indonesia,cameronbc/synthtiger,Carlisle/msmarco-passage-non-abs,castorini/msmarco_v1_passage_doc2query-t5_expansions,cats_vs_dogs,ccdv/arxiv-summarization,ccdv/cnn_dailymail,ccdv/mediasum,ChaiML/AnthropicRLHFPreferenceData,Champion/vpc2020_clear_anon_speech,chenghao/scielo_books,chrisjay/mnist-adversarial-dataset,cjvt/cc_gigafida,cjvt/slo_collocations,cjvt/sloleks,clarin-pl/multiwiki_90k,cmudrc/porous-microstructure-strain-fields,CodedotAI/code_clippy,common_language,competition_math,cooleel/xfund_de,corentinm7/MyoQuant-SDH-Data,cornell_movie_dialog,CristianaLazar/librispeech500,CristianaLazar/librispeech5k_train,crystina-z/miracl-bm25-negative,crystina-z/mmarco,crystina-z/mmarco-corpus,crystina-z/msmarco-passage-dl19,crystina-z/msmarco-passage-dl20,crystina-z/no-nonself-mrtydi,crystina-z/xor-tydi-corpus,dalle-mini/YFCC100M_OpenAI_subset,darkproger/librispeech_asr,DavidVivancos/MindBigData2022_Imagenet_IN_Spct,DelgadoPanadero/Pokemon,dgrnd4/stanford_dog_dataset,dlwh/MultiLegalPile_Wikipedia_Shuffled,dog/punks,ds4sd/DocLayNet,DTU54DL/librispeech5k-augmentated-train-prepared,echarlaix/gqa-lxmert,echarlaix/vqa,echarlaix/vqa-lxmert,EfaceD/ElysiumInspirations,evidence_infer_treatment,fcakyon/gun-object-detection,florianbussmann/train_tickets-yu2020pick,galman33/gal_yair_166000_256x256_fixed,GEM/BiSECT,GEM/references,GEM/xsum,genjib/LAVISHData,gigant/african_accented_french,gigant/m-ailabs_speech_dataset_fr,gigant/romanian_speech_synthesis_0_8_1,google/fleurs,Graphcore/gqa,Graphcore/gqa-lxmert,Graphcore/vqa,Graphcore/vqa-lxmert,grasshoff/lhc_sents,guangguang/azukijpg,HamdiJr/Egyptian_hieroglyphs,hebrew_projectbenyehuda,helena-balabin/sentences,hr16/Miwano-Rag,huggan/anime-faces,HuggingFaceM4/charades,HuggingFaceM4/cm4-synthetic-testing,HuggingFaceM4/COCO,HuggingFaceM4/epic_kitchens_100,HuggingFaceM4/FairFace,HuggingFaceM4/general-pmd-synthetic-testing,HuggingFaceM4/TextCaps,HuggingFaceM4/TGIF,HuggingFaceM4/VQAv2,HuggingFaceM4/yttemporal180m,HugoLaurencon/IIIT-5K,HugoLaurencon/libri_light,HugoLaurencon/libri_light_bytes,icelab/ntrs_meta,ilhanemirhan/eee543,iluvvatar/RuREBus,imvladikon/paranames,indonesian-nlp/librivox-indonesia,inseq/divemt_attributions,Isma/librispeech_1000_seed_42,izumaru/os2-datasets,jamescalam/movielens-25m-ratings,jamescalam/unsplash-25k-images,jerpint/imagenette,jimregan/clarinpl_sejmsenat,jimregan/clarinpl_studio,joefox/Mozilla_Common_Voice_ru_test_noise,joelito/lextreme,joelito/MultiLegalPile_Wikipedia_Filtered,jpwahle/dblp-discovery-dataset,kaliansh/sdaia,Karavet/ILUR-news-text-classification-corpus,keremberke/garbage-object-detection,keremberke/nfl-object-detection,keremberke/protective-equipment-detection,keremberke/smoke-object-detection,keshan/clean-si-mc4,keshan/multispeaker-tts-sinhala,KETI-AIR/vqa,khalidalt/tydiqa-primary,KnutJaegersberg/Interpretable_word_embeddings_large_cskg,KokeCacao/oracle,kresnik/librispeech_asr_test,ksaml/Stanford_dogs,Lacito/pangloss,lafi23333/ds,LanceaKing/asvspoof2019,Lehrig/GTZAN-Collection,Lehrig/Monkey-Species-Collection,LeoFeng/MLHW_6,leviethoang/VBVLSP,Leyo/TGIF,Livingwithmachines/MapReader_Data_SIGSPATIAL_2022,lj_speech,Lykon/OnePiece,m-aliabbas/idrak_splitted_amy_1,malteos/paperswithcode-aspects,marinone94/nst_no,marinone94/nst_sv,matallanas/linustechtips-transcript-audio-mp3,matallanas/linustechtips-transcript-audio-ogg,matallanas/linustechtips-transcript-audio-wav,matchbench/dbp15k-fr-en,mathaillah/BeritaHoaks-NonHoaks,mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS,mc4,mesolitica/dbp,mesolitica/noisy-en-ms-augmentation,mesolitica/noisy-ms-en-augmentation,mesolitica/translated-SQUAD,metashift,miracl/miracl,momilla/Ethereum_transacitons,MorVentura/TRBLLmaker,mozilla-foundation/common_voice_1_0,mozilla-foundation/common_voice_10_0,mozilla-foundation/common_voice_2_0,mozilla-foundation/common_voice_3_0,mozilla-foundation/common_voice_4_0,mozilla-foundation/common_voice_5_0,mozilla-foundation/common_voice_5_1,mozilla-foundation/common_voice_6_0,mozilla-foundation/common_voice_7_0,mteb/results,mteb/tatoeba-bitext-mining,muchocine,Muennighoff/flores200,mulcyber/europarl-mono,multilingual_librispeech,Murple/mmcrsc,mwhanna/ACT-Thor,mwitiderrick/arXiv,nanom/splittedspanish3bwc,Nart/parallel-ab-ru,nateraw/auto-cats-and-dogs,nateraw/imagenet-sketch,nateraw/quickdraw,nateraw/rice-image-dataset,nateraw/rice-image-dataset-2,nateraw/wit,NeuroSenko/senko_anime_full,nev/anime-giph,nishita/ade20k-sample,NLPC-UOM/document_alignment_dataset-Sinhala-Tamil-English,nlphuji/utk_faces,nlphuji/vasr,nlphuji/winogavil,nuprl/MultiPL-E,nuprl/MultiPL-E-raw-data,nvm472001/cvdataset-layoutlmv3,nyanko7/yandere-images,openclimatefix/era5,openclimatefix/nimrod-uk-1km-validation,openslr,opus_euconst,orieg/elsevier-oa-cc-by,oyk100/ChaSES-data,parambharat/kannada_asr_corpus,parambharat/malayalam_asr_corpus,parambharat/mile_dataset,parambharat/telugu_asr_corpus,Pinguin/images,plncmm/wl-disease,plncmm/wl-family-member,polinaeterna/vox_lingua,PolyAI/evi,Poupou/Gitcoin-Grant-DataBuilder,pragnakalp/squad_v2_french_translated,qanastek/MASSIVE,qanastek/QUAERO,raghav66/whisper-gpt,RaphaelOlivier/whisper_adversarial_examples,RAYZ/Mixed-Dia,reazon-research/reazonspeech,robertmyers/pile_v2,Rodion/uno_sustainable_development_goals,rogerdehe/xfund,rohitp1/librispeech_asr_clean,rossevine/tesis,SamAct/medium_cleaned,Samip/Scotch,sanchit-gandhi/librispeech_asr_clean,SaulLu/Natural_Questions_HTML_reduced_all,SDbiaseval/dataset-dalle,SetFit/mnli,severo/wit,shanya/crd3,shunk031/cocostuff,shunk031/livedoor-news-corpus,sil-ai/audio-keyword-spotting,sil-ai/audio-kw-in-context,sjpmpzx/qm_ly_gy_soundn,sled-umich/Action-Effect,SLPL/naab-raw,SocialGrep/ten-million-reddit-answers,SocialGrep/the-reddit-climate-change-dataset,society-ethics/lila_camera_traps,Sreyan88/librispeech_asr,stas/openwebtext-10k,strombergnlp/broad_twitter_corpus,student/celebA,superb,tab_fact,TalTechNLP/VoxLingua107,tapaco,tau/mrqa,tau/scrolls,tensorcat/wikipedia-japanese,Tevatron/beir-corpus,Tevatron/wikipedia-curated-corpus,Tevatron/wikipedia-squad,Tevatron/wikipedia-squad-corpus,Tevatron/wikipedia-trivia-corpus,Tevatron/wikipedia-wq-corpus,Tevatron/xor-tydi-corpus,texturedesign/td01_natural-ground-textures,textvqa,the_pile,tilos/ASR-CCANTCSC,tner/wikiann,TomTBT/pmc_open_access_figure,TomTBT/pmc_open_access_section,Tristan/olm-october-2022-tokenized-1024-exact-dedup-only,turkic_xwmt,universal_morphologies,uva-irlab/trec-cast-2019-multi-turn,valurank/PoliticalBias_AllSides_Txt,vblagoje/wikipedia_snippets_streamed,vctk,VIMA/VIMA-Data,Voicemod/LibriTTS-100-preproc,voidful/librispeech_asr_text,web_nlg,Whispering-GPT/linustechtips-transcript-audio,winvoker/lvis,wmt/europarl,xglue,Yehor/ukrainian-tts-lada,yhavinga/ccmatrix,ywchoi/mdpi_sept10,YWjimmy/PeRFception-ScanNet,YWjimmy/PeRFception-v1,YWjimmy/PeRFception-v1-1,YWjimmy/PeRFception-v1-2,YWjimmy/PeRFception-v1-3,z-uo/female-LJSpeech-italian,ZihaoLin/zhlds,zyznull/dureader-retrieval-ranking,zyznull/msmarco-passage-corpus,zyznull/msmarco-passage-ranking"
|
|
902d9ac2cc951ed1a132086fc71d0aa70dc020fa
|
Quentin Lhoest
| 2023-07-18T17:17:41 |
Always verify parquet before copying (#1520)
|
diff --git a/services/worker/src/worker/job_runners/config/parquet_and_info.py b/services/worker/src/worker/job_runners/config/parquet_and_info.py
index 85cbf532..68a6066a 100644
--- a/services/worker/src/worker/job_runners/config/parquet_and_info.py
+++ b/services/worker/src/worker/job_runners/config/parquet_and_info.py
@@ -721,31 +721,30 @@ def fill_builder_info(
- if not builder.info.splits or not builder.info.download_size:
- builder.info.splits = SplitDict()
- builder.info.download_size = 0
- builder.info.dataset_size = 0
- for split in data_files:
- split = str(split) # in case it's a NamedSplit
- try:
- parquet_files_and_sizes: List[Tuple[pq.ParquetFile, int]] = thread_map(
- functools.partial(
- retry_and_validate_get_parquet_file_and_size, fs=fs, hf_token=hf_token, validate=validate
- ),
- data_files[split],
- unit="pq",
- disable=True,
- )
- parquet_files, sizes = zip(*parquet_files_and_sizes)
- except ParquetValidationError:
- raise
- except Exception as e:
- raise FileSystemError(f"Could not read the parquet files: {e}") from e
- if parquet_files:
- first_pf = parquet_files[0]
- if builder.info.features is None:
- builder.info.features = Features.from_arrow_schema(first_pf.schema_arrow)
- first_row_group = first_pf.read_row_group(0)
- compression_ratio = first_row_group.nbytes / first_row_group.num_rows
- num_examples = sum(parquet_file.metadata.num_rows for parquet_file in parquet_files)
- approx_num_bytes = int(compression_ratio * num_examples)
- builder.info.splits.add(SplitInfo(split, num_bytes=approx_num_bytes, num_examples=num_examples))
- builder.info.download_size += sum(sizes)
- builder.info.dataset_size += approx_num_bytes
+ builder.info.splits = SplitDict()
+ builder.info.download_size = 0
+ builder.info.dataset_size = 0
+ for split in data_files:
+ split = str(split) # in case it's a NamedSplit
+ try:
+ parquet_files_and_sizes: List[Tuple[pq.ParquetFile, int]] = thread_map(
+ functools.partial(
+ retry_and_validate_get_parquet_file_and_size, fs=fs, hf_token=hf_token, validate=validate
+ ),
+ data_files[split],
+ unit="pq",
+ disable=True,
+ )
+ parquet_files, sizes = zip(*parquet_files_and_sizes)
+ except ParquetValidationError:
+ raise
+ except Exception as e:
+ raise FileSystemError(f"Could not read the parquet files: {e}") from e
+ if parquet_files:
+ first_pf = parquet_files[0]
+ if builder.info.features is None:
+ builder.info.features = Features.from_arrow_schema(first_pf.schema_arrow)
+ first_row_group = first_pf.read_row_group(0)
+ compression_ratio = first_row_group.nbytes / first_row_group.num_rows
+ num_examples = sum(parquet_file.metadata.num_rows for parquet_file in parquet_files)
+ approx_num_bytes = int(compression_ratio * num_examples)
+ builder.info.splits.add(SplitInfo(split, num_bytes=approx_num_bytes, num_examples=num_examples))
+ builder.info.download_size += sum(sizes)
+ builder.info.dataset_size += approx_num_bytes
diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py
index 1ceb456a..b436e496 100644
--- a/services/worker/tests/fixtures/hub.py
+++ b/services/worker/tests/fixtures/hub.py
@@ -430 +430 @@ def create_dataset_info_response_for_audio() -> Any:
- "splits": {"train": {"name": "train", "num_bytes": 54, "num_examples": 1, "dataset_name": None}},
+ "splits": {"train": {"name": "train", "num_bytes": 59, "num_examples": 1, "dataset_name": None}},
@@ -432 +432 @@ def create_dataset_info_response_for_audio() -> Any:
- "dataset_size": 54,
+ "dataset_size": 59,
|
|
ff754f55914fad345c5adcf9e947bb8cc47e65f8
|
Sylvain Lesage
| 2023-07-17T17:44:30 |
feat: 🎸 reduce resources (#1524)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 797d1380..2e1bf021 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -312 +312 @@ workers:
- replicas: 60
+ replicas: 20
@@ -329 +329 @@ workers:
- replicas: 12
+ replicas: 6
|
|
f72be23ed042152590f617faa30e23db13111477
|
Andrea Francis Soria Jimenez
| 2023-07-12T18:49:56 |
Reduce resources (#1517)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 7daa1601..797d1380 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -312 +312 @@ workers:
- replicas: 120
+ replicas: 60
@@ -329 +329 @@ workers:
- replicas: 24
+ replicas: 12
|
|
cb1082ee3585075a0342e31a98f7cc99d13f1cc2
|
Quentin Lhoest
| 2023-07-11T15:47:02 |
fix optional download_size (#1515)
|
diff --git a/services/worker/src/worker/job_runners/config/size.py b/services/worker/src/worker/job_runners/config/size.py
index 785ea8f9..fda5d622 100644
--- a/services/worker/src/worker/job_runners/config/size.py
+++ b/services/worker/src/worker/job_runners/config/size.py
@@ -68 +68 @@ def compute_config_size_response(dataset: str, config: str) -> ConfigSizeRespons
- "num_bytes_original_files": config_info["download_size"] if not content["partial"] else None,
+ "num_bytes_original_files": config_info.get("download_size"),
|
|
d2b3d7e58b05c61dd31ddb5c9a17fc481a5def99
|
Andrea Francis Soria Jimenez
| 2023-07-11T15:05:06 |
Adding partial ttl index to locks (#1514)
|
diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py
index c04596eb..4f4a2ca1 100644
--- a/libs/libcommon/src/libcommon/constants.py
+++ b/libs/libcommon/src/libcommon/constants.py
@@ -16,0 +17 @@ QUEUE_TTL_SECONDS = 600 # 10 minutes
+LOCK_TTL_SECONDS = 600 # 10 minutes
diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py
index 440f7013..d1b39250 100644
--- a/libs/libcommon/src/libcommon/queue.py
+++ b/libs/libcommon/src/libcommon/queue.py
@@ -25,0 +26 @@ from libcommon.constants import (
+ LOCK_TTL_SECONDS,
@@ -241 +242,13 @@ class Lock(Document):
- meta = {"collection": QUEUE_COLLECTION_LOCKS, "db_alias": QUEUE_MONGOENGINE_ALIAS, "indexes": [("key", "owner")]}
+ meta = {
+ "collection": QUEUE_COLLECTION_LOCKS,
+ "db_alias": QUEUE_MONGOENGINE_ALIAS,
+ "indexes": [
+ ("key", "owner"),
+ {
+ "fields": ["updated_at"],
+ "expireAfterSeconds": LOCK_TTL_SECONDS,
+ "partialFilterExpression": {"owner": None},
+ },
+ ],
+ }
+
|
|
40fe965d1aa1b3a51552895269f759687a6706bd
|
Quentin Lhoest
| 2023-07-11T14:47:17 |
(minor) rename noMaxSizeLimitDatasets (#1513)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 96be0a30..7daa1601 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -114 +113,0 @@ parquetAndInfo:
- fullyConvertedDatasets: "Open-Orca/OpenOrca"
@@ -118,0 +118 @@ parquetAndInfo:
+ noMaxSizeLimitDatasets: "Open-Orca/OpenOrca"
diff --git a/chart/templates/_envWorker.tpl b/chart/templates/_envWorker.tpl
index ca647c14..630c7152 100644
--- a/chart/templates/_envWorker.tpl
+++ b/chart/templates/_envWorker.tpl
@@ -54,2 +53,0 @@
-- name: PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS
- value: {{ .Values.parquetAndInfo.fullyConvertedDatasets | quote }}
@@ -61,0 +60,2 @@
+- name: PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS
+ value: {{ .Values.parquetAndInfo.noMaxSizeLimitDatasets | quote }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 66980f50..90ce3506 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -180,2 +179,0 @@ parquetAndInfo:
- # comma-separated list of datasets that are fully converted to parquet (no partial conversion).
- fullyConvertedDatasets: ""
@@ -187,0 +186,2 @@ parquetAndInfo:
+ # comma-separated list of datasets that are fully converted to parquet (no partial conversion).
+ noMaxSizeLimitDatasets: ""
diff --git a/services/worker/README.md b/services/worker/README.md
index 0f792426..17d6a5fa 100644
--- a/services/worker/README.md
+++ b/services/worker/README.md
@@ -74 +74 @@ Set environment variables to configure the `parquet-and-info` worker (`PARQUET_A
-- `PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS`: comma-separated list of datasets that are fully converted to parquet (no partial conversion). Defaults to `""`.
+- `PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS`: comma-separated list of datasets that are fully converted to parquet (no partial conversion). Defaults to `""`.
diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py
index 31c67081..f244a3ce 100644
--- a/services/worker/src/worker/config.py
+++ b/services/worker/src/worker/config.py
@@ -176 +175,0 @@ PARQUET_AND_INFO_COMMITTER_HF_TOKEN = None
-PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS: List[str] = []
@@ -179,0 +179 @@ PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY = 100_000_000
+PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS: List[str] = []
@@ -190 +189,0 @@ class ParquetAndInfoConfig:
- fully_converted_datasets: List[str] = field(default_factory=PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS.copy)
@@ -193,0 +193 @@ class ParquetAndInfoConfig:
+ no_max_size_limit_datasets: List[str] = field(default_factory=PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS.copy)
@@ -207,3 +206,0 @@ class ParquetAndInfoConfig:
- fully_converted_datasets=env.list(
- name="FULLY_CONVERTED_DATASETS", default=PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS.copy()
- ),
@@ -216,0 +214,3 @@ class ParquetAndInfoConfig:
+ no_max_size_limit_datasets=env.list(
+ name="NO_MAX_SIZE_LIMIT_DATASETS", default=PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS.copy()
+ ),
diff --git a/services/worker/src/worker/job_runners/config/parquet_and_info.py b/services/worker/src/worker/job_runners/config/parquet_and_info.py
index 9ebeba2d..85cbf532 100644
--- a/services/worker/src/worker/job_runners/config/parquet_and_info.py
+++ b/services/worker/src/worker/job_runners/config/parquet_and_info.py
@@ -1149 +1149 @@ def compute_config_parquet_and_info_response(
- fully_converted_datasets: List[str],
+ no_max_size_limit_datasets: List[str],
@@ -1189 +1189 @@ def compute_config_parquet_and_info_response(
- fully_converted_datasets (`List[str]`):
+ no_max_size_limit_datasets (`List[str]`):
@@ -1293 +1293 @@ def compute_config_parquet_and_info_response(
- max_dataset_size=None if dataset in fully_converted_datasets else max_dataset_size,
+ max_dataset_size=None if dataset in no_max_size_limit_datasets else max_dataset_size,
@@ -1314 +1314 @@ def compute_config_parquet_and_info_response(
- builder, max_dataset_size=None if dataset in fully_converted_datasets else max_dataset_size
+ builder, max_dataset_size=None if dataset in no_max_size_limit_datasets else max_dataset_size
@@ -1422 +1422 @@ class ConfigParquetAndInfoJobRunner(ConfigJobRunnerWithDatasetsCache):
- fully_converted_datasets=self.parquet_and_info_config.fully_converted_datasets,
+ no_max_size_limit_datasets=self.parquet_and_info_config.no_max_size_limit_datasets,
diff --git a/tools/docker-compose-datasets-server.yml b/tools/docker-compose-datasets-server.yml
index f38af7be..6f667196 100644
--- a/tools/docker-compose-datasets-server.yml
+++ b/tools/docker-compose-datasets-server.yml
@@ -139 +139 @@ services:
- PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS: ${PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS-}
+ PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS: ${PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS-}
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index 0bf0f473..deafb635 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -144 +144 @@ services:
- PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS: ${PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS-}
+ PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS: ${PARQUET_AND_INFO_NO_MAX_SIZE_LIMIT_DATASETS-}
|
|
2f1c59ad3fae1f27bf6e0c42cc76bb5c28e4649e
|
Quentin Lhoest
| 2023-07-11T11:31:46 |
add priority param to force refresh endpoint (#1510)
|
diff --git a/front/admin_ui/app.py b/front/admin_ui/app.py
index a39a8e20..c63bdb55 100644
--- a/front/admin_ui/app.py
+++ b/front/admin_ui/app.py
@@ -87,0 +88 @@ with gr.Blocks() as demo:
+ refresh_priority = gr.Dropdown(["low", "normal"], multiselect=False, label="priority", value="low")
@@ -263 +264 @@ The cache is outdated or in an incoherent state. Here is the plan to backfill th
- def refresh_dataset(token, refresh_types, refresh_dataset_names, refresh_config_names, refresh_split_names):
+ def refresh_dataset(token, refresh_type, refresh_dataset_names, refresh_config_names, refresh_split_names, refresh_priority):
@@ -266,2 +267,2 @@ The cache is outdated or in an incoherent state. Here is the plan to backfill th
- for refresh_type, refresh_dataset_name, refresh_config_name, refresh_split_name in product(
- refresh_types.split(","), refresh_dataset_names.split(","), refresh_config_names.split(","), refresh_split_names.split(",")
+ for refresh_dataset_name, refresh_config_name, refresh_split_name in product(
+ refresh_dataset_names.split(","), refresh_config_names.split(","), refresh_split_names.split(",")
@@ -269 +269,0 @@ The cache is outdated or in an incoherent state. Here is the plan to backfill th
- refresh_types = refresh_types.strip()
@@ -271 +271 @@ The cache is outdated or in an incoherent state. Here is the plan to backfill th
- params = {"dataset": refresh_dataset_name}
+ params = {"dataset": refresh_dataset_name, "priority": refresh_priority}
@@ -301 +301 @@ The cache is outdated or in an incoherent state. Here is the plan to backfill th
- refresh_dataset_button.click(refresh_dataset, inputs=[token_box, refresh_type, refresh_dataset_name, refresh_config_name, refresh_split_name], outputs=refresh_dataset_output)
+ refresh_dataset_button.click(refresh_dataset, inputs=[token_box, refresh_type, refresh_dataset_name, refresh_config_name, refresh_split_name, refresh_priority], outputs=refresh_dataset_output)
diff --git a/services/admin/src/admin/routes/force_refresh.py b/services/admin/src/admin/routes/force_refresh.py
index f54814b1..44e02196 100644
--- a/services/admin/src/admin/routes/force_refresh.py
+++ b/services/admin/src/admin/routes/force_refresh.py
@@ -17,0 +18 @@ from admin.utils import (
+ InvalidParameterError,
@@ -54 +55,9 @@ def create_force_refresh_endpoint(
- logging.info(f"/force-refresh/{job_type}, dataset={dataset}, config={config}, split={split}")
+ try:
+ priority = Priority(request.query_params.get("priority", "low"))
+ except ValueError:
+ raise InvalidParameterError(
+ f"Parameter 'priority' should be one of {', '.join(prio.value for prio in Priority)}."
+ )
+ logging.info(
+ f"/force-refresh/{job_type}, dataset={dataset}, config={config}, split={split}, priority={priority}"
+ )
@@ -71 +80 @@ def create_force_refresh_endpoint(
- priority=Priority.LOW,
+ priority=priority,
|
|
d3d66958fd9a3cf3eba276a3d30e39003a90f071
|
Andrea Francis Soria Jimenez
| 2023-07-10T22:45:23 |
Last index sync and Increase resources (#1512)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 673c4007..96be0a30 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -312 +312 @@ workers:
- replicas: 60
+ replicas: 120
@@ -329 +329 @@ workers:
- replicas: 12
+ replicas: 24
diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py
index 02dd5986..440f7013 100644
--- a/libs/libcommon/src/libcommon/queue.py
+++ b/libs/libcommon/src/libcommon/queue.py
@@ -157 +157 @@ class JobDocument(Document):
- ("unicity_id", "status", "created_at"),
+ ("unicity_id", "-created_at", "status"),
|
|
c8b32403562c558621c5b06d72d22899c3d44325
|
Andrea Francis Soria Jimenez
| 2023-07-10T20:39:45 |
Sync adviced indexes by Atlas (#1511)
|
diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py
index 24e92a0c..02dd5986 100644
--- a/libs/libcommon/src/libcommon/queue.py
+++ b/libs/libcommon/src/libcommon/queue.py
@@ -154 +154,2 @@ class JobDocument(Document):
- ("priority", "status", "created_at", "difficulty", "namespace", "type", "unicity_id"),
+ ("priority", "status", "created_at", "namespace"),
+ ("priority", "status", "type", "namespace", "unicity_id", "created_at", "-difficulty"),
|
|
8f8160141f596f4978d5dab2e66ace8cd1c536d7
|
Andrea Francis Soria Jimenez
| 2023-07-10T17:02:51 |
Try to improve index usage for Job collection (#1509)
|
diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py
index d0f54091..24e92a0c 100644
--- a/libs/libcommon/src/libcommon/queue.py
+++ b/libs/libcommon/src/libcommon/queue.py
@@ -152,2 +151,0 @@ class JobDocument(Document):
- "dataset",
- ("dataset", "revision", "status"),
@@ -156 +153,0 @@ class JobDocument(Document):
- ("priority", "status", "created_at", "type", "namespace"),
@@ -158,2 +154,0 @@ class JobDocument(Document):
- ("priority", "status", "namespace", "type", "created_at"),
- ("priority", "status", "created_at", "namespace", "-difficulty"),
@@ -161,3 +156 @@ class JobDocument(Document):
- ("status", "namespace", "priority", "type", "created_at"),
- ("status", "namespace", "unicity_id", "priority", "type", "created_at"),
- "-created_at",
+ ("unicity_id", "status", "created_at"),
@@ -809 +802 @@ class Queue:
- for job in JobDocument.objects(type=job_type, status=Status.STARTED.value):
+ for job in JobDocument.objects(status=Status.STARTED.value, type=job_type):
@@ -857 +850 @@ class Queue:
- for job in JobDocument.objects(dataset=dataset, status__in=[Status.WAITING, Status.STARTED], **filters)
+ for job in JobDocument.objects(status__in=[Status.WAITING, Status.STARTED], **filters, dataset=dataset)
@@ -865 +858 @@ class Queue:
- return JobDocument.objects(dataset=dataset, status__in=[Status.WAITING, Status.STARTED], **filters).count() > 0
+ return JobDocument.objects(status__in=[Status.WAITING, Status.STARTED], **filters, dataset=dataset).count() > 0
@@ -906 +899 @@ class Queue:
- return [d.to_dict() for d in JobDocument.objects(type=job_type, status=status.value)]
+ return [d.to_dict() for d in JobDocument.objects(status=status.value, type=job_type)]
@@ -926 +919 @@ class Queue:
- type=job_type, dataset=dataset, status__in=[Status.WAITING.value, Status.STARTED.value]
+ status__in=[Status.WAITING.value, Status.STARTED.value], type=job_type, dataset=dataset
|
|
a635bf7f70bc23a407595ac19e7adcb2cdc2e6ba
|
Quentin Lhoest
| 2023-07-10T13:47:44 |
Add fully converted datasets (#1508)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index ee6303c8..673c4007 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -113,0 +114 @@ parquetAndInfo:
+ fullyConvertedDatasets: "Open-Orca/OpenOrca"
diff --git a/chart/templates/_envWorker.tpl b/chart/templates/_envWorker.tpl
index 07c101d1..ca647c14 100644
--- a/chart/templates/_envWorker.tpl
+++ b/chart/templates/_envWorker.tpl
@@ -53,0 +54,2 @@
+- name: PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS
+ value: {{ .Values.parquetAndInfo.fullyConvertedDatasets | quote }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 191acf46..66980f50 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -179,0 +180,2 @@ parquetAndInfo:
+ # comma-separated list of datasets that are fully converted to parquet (no partial conversion).
+ fullyConvertedDatasets: ""
diff --git a/services/worker/README.md b/services/worker/README.md
index bb6c8c98..0f792426 100644
--- a/services/worker/README.md
+++ b/services/worker/README.md
@@ -73,0 +74 @@ Set environment variables to configure the `parquet-and-info` worker (`PARQUET_A
+- `PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS`: comma-separated list of datasets that are fully converted to parquet (no partial conversion). Defaults to `""`.
diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py
index 04e0b0fa..31c67081 100644
--- a/services/worker/src/worker/config.py
+++ b/services/worker/src/worker/config.py
@@ -175,0 +176 @@ PARQUET_AND_INFO_COMMITTER_HF_TOKEN = None
+PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS: List[str] = []
@@ -188,0 +190 @@ class ParquetAndInfoConfig:
+ fully_converted_datasets: List[str] = field(default_factory=PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS.copy)
@@ -204,0 +207,3 @@ class ParquetAndInfoConfig:
+ fully_converted_datasets=env.list(
+ name="FULLY_CONVERTED_DATASETS", default=PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS.copy()
+ ),
diff --git a/services/worker/src/worker/job_runners/config/parquet_and_info.py b/services/worker/src/worker/job_runners/config/parquet_and_info.py
index 171404c3..9ebeba2d 100644
--- a/services/worker/src/worker/job_runners/config/parquet_and_info.py
+++ b/services/worker/src/worker/job_runners/config/parquet_and_info.py
@@ -879 +879 @@ def stream_convert_to_parquet(
- builder: DatasetBuilder, max_dataset_size: int, writer_batch_size: Optional[int] = None
+ builder: DatasetBuilder, max_dataset_size: Optional[int], writer_batch_size: Optional[int] = None
@@ -902 +902 @@ def stream_convert_to_parquet(
- with limit_parquet_writes(builder, max_dataset_size=max_dataset_size) as limiter:
+ if max_dataset_size is None:
@@ -906 +906,6 @@ def stream_convert_to_parquet(
- partial = partial or limiter.total_bytes >= max_dataset_size
+ else:
+ with limit_parquet_writes(builder, max_dataset_size=max_dataset_size) as limiter:
+ builder._prepare_split(
+ split_generator=splits_generators[split], file_format="parquet", **prepare_split_kwargs
+ )
+ partial = partial or limiter.total_bytes >= max_dataset_size
@@ -1143,0 +1149 @@ def compute_config_parquet_and_info_response(
+ fully_converted_datasets: List[str],
@@ -1182,0 +1189,2 @@ def compute_config_parquet_and_info_response(
+ fully_converted_datasets (`List[str]`):
+ List of datasets that should be fully converted (no partial conversion).
@@ -1284 +1292,3 @@ def compute_config_parquet_and_info_response(
- builder, max_dataset_size=max_dataset_size, writer_batch_size=writer_batch_size
+ builder,
+ max_dataset_size=None if dataset in fully_converted_datasets else max_dataset_size,
+ writer_batch_size=writer_batch_size,
@@ -1303 +1313,3 @@ def compute_config_parquet_and_info_response(
- parquet_operations, partial = stream_convert_to_parquet(builder, max_dataset_size=max_dataset_size)
+ parquet_operations, partial = stream_convert_to_parquet(
+ builder, max_dataset_size=None if dataset in fully_converted_datasets else max_dataset_size
+ )
@@ -1409,0 +1422 @@ class ConfigParquetAndInfoJobRunner(ConfigJobRunnerWithDatasetsCache):
+ fully_converted_datasets=self.parquet_and_info_config.fully_converted_datasets,
diff --git a/services/worker/tests/job_runners/config/test_parquet_and_info.py b/services/worker/tests/job_runners/config/test_parquet_and_info.py
index d8ee28bf..603fe004 100644
--- a/services/worker/tests/job_runners/config/test_parquet_and_info.py
+++ b/services/worker/tests/job_runners/config/test_parquet_and_info.py
@@ -847,0 +848 @@ def test_get_delete_operations(
+ (None, 10),
@@ -869,6 +870,7 @@ def test_stream_convert_to_parquet_arrowbasedbuilder(
- one_sample_max_size = 100
- expected_max_dataset_size = max_dataset_size + one_sample_max_size
- assert (
- sum(pq.ParquetFile(parquet_file.local_file).read().nbytes for parquet_file in parquet_files)
- < expected_max_dataset_size
- )
+ if max_dataset_size is not None:
+ one_sample_max_size = 100
+ expected_max_dataset_size = max_dataset_size + one_sample_max_size
+ assert (
+ sum(pq.ParquetFile(parquet_file.local_file).read().nbytes for parquet_file in parquet_files)
+ < expected_max_dataset_size
+ )
@@ -883,0 +886 @@ def test_stream_convert_to_parquet_arrowbasedbuilder(
+ (None, 1000),
@@ -907,6 +910,7 @@ def test_stream_convert_to_parquet_generatorbasedbuilder(
- one_sample_max_size = 100
- expected_max_dataset_size = max_dataset_size + one_sample_max_size
- assert (
- sum(pq.ParquetFile(parquet_file.local_file).read().nbytes for parquet_file in parquet_files)
- < expected_max_dataset_size
- )
+ if max_dataset_size is not None:
+ one_sample_max_size = 100
+ expected_max_dataset_size = max_dataset_size + one_sample_max_size
+ assert (
+ sum(pq.ParquetFile(parquet_file.local_file).read().nbytes for parquet_file in parquet_files)
+ < expected_max_dataset_size
+ )
diff --git a/tools/docker-compose-datasets-server.yml b/tools/docker-compose-datasets-server.yml
index 7c6f38ee..f38af7be 100644
--- a/tools/docker-compose-datasets-server.yml
+++ b/tools/docker-compose-datasets-server.yml
@@ -138,0 +139 @@ services:
+ PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS: ${PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS-}
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index c7a0e114..0bf0f473 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -143,0 +144 @@ services:
+ PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS: ${PARQUET_AND_INFO_FULLY_CONVERTED_DATASETS-}
|
|
ce1439b8678bbdd0e391d7b922186c061da45704
|
Quentin Lhoest
| 2023-07-10T11:14:44 |
memory efficient config-parquet-metadata (#1506)
|
diff --git a/services/worker/src/worker/job_runners/config/parquet_metadata.py b/services/worker/src/worker/job_runners/config/parquet_metadata.py
index 0129a70e..e739b213 100644
--- a/services/worker/src/worker/job_runners/config/parquet_metadata.py
+++ b/services/worker/src/worker/job_runners/config/parquet_metadata.py
@@ -20 +19,0 @@ from libcommon.viewer_utils.parquet_metadata import create_parquet_metadata_file
-from pyarrow.parquet import ParquetFile
@@ -32,0 +32,26 @@ from worker.utils import get_parquet_file
+def create_parquet_metadata_file_from_remote_parquet(
+ parquet_file_item: SplitHubFile, fs: HTTPFileSystem, hf_token: Optional[str], parquet_metadata_directory: StrPath
+) -> ParquetFileMetadataItem:
+ try:
+ parquet_file = get_parquet_file(url=parquet_file_item["url"], fs=fs, hf_token=hf_token)
+ except Exception as e:
+ raise FileSystemError(f"Could not read the parquet files: {e}") from e
+ parquet_metadata_subpath = create_parquet_metadata_file(
+ dataset=parquet_file_item["dataset"],
+ config=parquet_file_item["config"],
+ parquet_file_metadata=parquet_file.metadata,
+ filename=parquet_file_item["filename"],
+ parquet_metadata_directory=parquet_metadata_directory,
+ )
+ return ParquetFileMetadataItem(
+ dataset=parquet_file_item["dataset"],
+ config=parquet_file_item["config"],
+ split=parquet_file_item["split"],
+ url=parquet_file_item["url"],
+ filename=parquet_file_item["filename"],
+ size=parquet_file_item["size"],
+ num_rows=parquet_file.metadata.num_rows,
+ parquet_metadata_subpath=parquet_metadata_subpath,
+ )
+
+
@@ -77 +101,0 @@ def compute_parquet_metadata_response(
- source_urls = [parquet_file_item["url"] for parquet_file_item in parquet_file_items]
@@ -79,18 +103,5 @@ def compute_parquet_metadata_response(
- try:
- parquet_files: List[ParquetFile] = thread_map(
- functools.partial(get_parquet_file, fs=fs, hf_token=hf_token),
- source_urls,
- desc=desc,
- unit="pq",
- disable=True,
- )
- except Exception as e:
- raise FileSystemError(f"Could not read the parquet files: {e}") from e
-
- parquet_files_metadata = []
- for parquet_file_item, parquet_file in zip(parquet_file_items, parquet_files):
- parquet_metadata_subpath = create_parquet_metadata_file(
- dataset=dataset,
- config=config,
- parquet_file_metadata=parquet_file.metadata,
- filename=parquet_file_item["filename"],
+ parquet_files_metadata: List[ParquetFileMetadataItem] = thread_map(
+ functools.partial(
+ create_parquet_metadata_file_from_remote_parquet,
+ fs=fs,
+ hf_token=hf_token,
@@ -98,15 +109,6 @@ def compute_parquet_metadata_response(
- )
- num_rows = parquet_file.metadata.num_rows
- parquet_files_metadata.append(
- ParquetFileMetadataItem(
- dataset=dataset,
- config=config,
- split=parquet_file_item["split"],
- url=parquet_file_item["url"],
- filename=parquet_file_item["filename"],
- size=parquet_file_item["size"],
- num_rows=num_rows,
- parquet_metadata_subpath=parquet_metadata_subpath,
- )
- )
-
+ ),
+ parquet_file_items,
+ desc=desc,
+ unit="pq",
+ disable=True,
+ )
diff --git a/services/worker/tests/job_runners/config/test_parquet_metadata.py b/services/worker/tests/job_runners/config/test_parquet_metadata.py
index 9e0079d6..537e90c4 100644
--- a/services/worker/tests/job_runners/config/test_parquet_metadata.py
+++ b/services/worker/tests/job_runners/config/test_parquet_metadata.py
@@ -187 +187 @@ def test_compute(
- parquet_file_item["url"], fs=HTTPFileSystem(), hf_token=app_config.common.hf_token
+ url=parquet_file_item["url"], fs=HTTPFileSystem(), hf_token=app_config.common.hf_token
@@ -188,0 +189 @@ def test_compute(
+ assert expected_content["parquet_files_metadata"]
|
|
10deca03dbef8f7b580c24aa99a83ae507753145
|
Andrea Francis Soria Jimenez
| 2023-07-10T10:33:00 |
Sync indexes with db (#1505)
|
diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py
index acae7aa2..d0f54091 100644
--- a/libs/libcommon/src/libcommon/queue.py
+++ b/libs/libcommon/src/libcommon/queue.py
@@ -154,2 +153,0 @@ class JobDocument(Document):
- "status",
- ("type", "status"),
@@ -158 +155,0 @@ class JobDocument(Document):
- ("priority", "status", "created_at", "namespace", "unicity_id"),
@@ -160,2 +156,0 @@ class JobDocument(Document):
- ("priority", "status", "type", "created_at", "namespace", "unicity_id"),
- ("priority", "status", "created_at", "namespace", "type", "unicity_id"),
@@ -162,0 +158,2 @@ class JobDocument(Document):
+ ("priority", "status", "namespace", "type", "created_at"),
+ ("priority", "status", "created_at", "namespace", "-difficulty"),
|
|
c7c3c9b935a6ab94fcfe556d2bd6d02c7261760c
|
Quentin Lhoest
| 2023-07-10T09:49:00 |
reduce rows lru cache (#1507)
|
diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py
index 8dfe65d5..00105f80 100644
--- a/libs/libcommon/src/libcommon/parquet_utils.py
+++ b/libs/libcommon/src/libcommon/parquet_utils.py
@@ -273 +273 @@ class RowsIndex:
- @lru_cache(maxsize=1024)
+ @lru_cache(maxsize=8)
@@ -311 +311 @@ class Indexer:
- @lru_cache(maxsize=128)
+ @lru_cache(maxsize=8)
|
|
f122c48562d2ab02c2f7ff10f4e0a173a3b9167b
|
Polina Kazakova
| 2023-07-07T13:44:22 |
Delete `/config-names` endpoint (#1498)
|
diff --git a/e2e/tests/test_11_api.py b/e2e/tests/test_11_api.py
index 8dd3e822..d40b8b68 100644
--- a/e2e/tests/test_11_api.py
+++ b/e2e/tests/test_11_api.py
@@ -40 +40 @@ def test_auth_e2e(
- relative_url=f"/config-names?dataset={dataset}",
+ relative_url=f"/splits?dataset={dataset}",
@@ -51 +50,0 @@ def test_auth_e2e(
- ("/config-names", "dataset"),
diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py
index a7a95078..6ae79099 100644
--- a/services/api/src/api/config.py
+++ b/services/api/src/api/config.py
@@ -63 +62,0 @@ class EndpointConfig:
- "/config-names": {"dataset": ["dataset-config-names"]},
diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py
index ea9ef490..1bd5163a 100644
--- a/services/api/tests/conftest.py
+++ b/services/api/tests/conftest.py
@@ -46 +45,0 @@ def endpoint_config(monkeypatch_session: MonkeyPatch) -> EndpointConfig:
- "/config-names": {"dataset": ["dataset-config-names"]},
@@ -47,0 +47 @@ def endpoint_config(monkeypatch_session: MonkeyPatch) -> EndpointConfig:
+ "dataset": ["dataset-split-names"],
@@ -78 +78 @@ def first_dataset_endpoint(endpoint_definition: StepsByInputTypeAndEndpoint) ->
-def first_config_endoint(endpoint_definition: StepsByInputTypeAndEndpoint) -> str:
+def first_config_endpoint(endpoint_definition: StepsByInputTypeAndEndpoint) -> str:
diff --git a/services/api/tests/routes/test_endpoint.py b/services/api/tests/routes/test_endpoint.py
index 7ce3d60a..aff251b6 100644
--- a/services/api/tests/routes/test_endpoint.py
+++ b/services/api/tests/routes/test_endpoint.py
@@ -31,6 +30,0 @@ def test_endpoints_definition() -> None:
- config_names = definition["/config-names"]
- assert config_names is not None
- assert sorted(list(config_names)) == ["dataset"]
- assert config_names["dataset"] is not None
- assert len(config_names["dataset"]) == 1 # Only has one processing step
-
@@ -89,0 +84,2 @@ def test_endpoints_definition() -> None:
+ with raises(KeyError):
+ _ = definition["/config-names"]
diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py
index 3e270714..1c6b8499 100644
--- a/services/api/tests/test_app.py
+++ b/services/api/tests/test_app.py
@@ -70,9 +70,2 @@ def test_get_endpoint(client: TestClient, first_dataset_endpoint: str) -> None:
[email protected](
- "dataset,config",
- [
- (None, None),
- ("a", None),
- ("a", ""),
- ],
-)
-def test_get_config_missing_parameter(
[email protected]("dataset", (None, ""))
+def test_get_dataset_missing_parameter(
@@ -81,2 +74 @@ def test_get_config_missing_parameter(
- config: Optional[str],
- first_config_endoint: str,
+ first_dataset_endpoint: str,
@@ -84 +76 @@ def test_get_config_missing_parameter(
- response = client.get(first_config_endoint, params={"dataset": dataset, "config": config, "split": None})
+ response = client.get(first_dataset_endpoint, params={"dataset": dataset, "config": None, "split": None})
@@ -87,0 +80 @@ def test_get_config_missing_parameter(
+# this test might fail someday, if `first_split_endpoint` fixture appears to be not an only-split-level endpoint
diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py
index b116ac70..04e0b0fa 100644
--- a/services/worker/src/worker/config.py
+++ b/services/worker/src/worker/config.py
@@ -21 +20,0 @@ WORKER_DIFFICULTY_MIN = None
-WORKER_ENDPOINT = "/config-names"
|
|
c66e943aa4cf90e060f40a2e17c6602b326668cb
|
Quentin Lhoest
| 2023-07-07T09:50:36 |
Remove parquet index without metadata (#1503)
|
diff --git a/libs/libcommon/src/libcommon/config.py b/libs/libcommon/src/libcommon/config.py
index 472fa14f..48041b90 100644
--- a/libs/libcommon/src/libcommon/config.py
+++ b/libs/libcommon/src/libcommon/config.py
@@ -249 +249 @@ class ProcessingGraphConfig:
- "triggered_by": "config-parquet",
+ "triggered_by": "config-parquet-metadata",
diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py
index b3bfcbbd..8dfe65d5 100644
--- a/libs/libcommon/src/libcommon/parquet_utils.py
+++ b/libs/libcommon/src/libcommon/parquet_utils.py
@@ -10 +9,0 @@ import numpy as np
-import numpy.typing as npt
@@ -16,2 +14,0 @@ from huggingface_hub import HfFileSystem
-from huggingface_hub.hf_file_system import safe_quote
-from tqdm.contrib.concurrent import thread_map
@@ -19 +15,0 @@ from tqdm.contrib.concurrent import thread_map
-from libcommon.constants import PARQUET_REVISION
@@ -23 +18,0 @@ from libcommon.simple_cache import get_previous_step_or_raise
-from libcommon.utils import SplitHubFile
@@ -67,130 +61,0 @@ def get_supported_unsupported_columns(
-# TODO: how to invalidate the cache when the parquet branch is created or deleted?
-@lru_cache(maxsize=128)
-def get_hf_fs(hf_token: Optional[str]) -> HfFileSystem:
- """Get the Hugging Face filesystem.
-
- Args:
- hf_token (Optional[str]): The token to access the filesystem.
- Returns:
- HfFileSystem: The Hugging Face filesystem.
- """
- return HfFileSystem(token=hf_token)
-
-
-def get_hf_parquet_uris(paths: List[str], dataset: str) -> List[str]:
- """Get the Hugging Face URIs from the Parquet branch of the dataset repository (see PARQUET_REVISION).
-
- Args:
- paths (List[str]): List of paths.
- dataset (str): The dataset name.
- Returns:
- List[str]: List of Parquet URIs.
- """
- return [f"hf://datasets/{dataset}@{safe_quote(PARQUET_REVISION)}/{path}" for path in paths]
-
-
-@dataclass
-class ParquetIndexWithoutMetadata:
- features: Features
- supported_columns: List[str]
- unsupported_columns: List[str]
- row_group_offsets: npt.NDArray[np.int64]
- row_group_readers: List[Callable[[], pa.Table]]
-
- def query(self, offset: int, length: int) -> pa.Table:
- """Query the parquet files
-
- Note that this implementation will always read at least one row group, to get the list of columns and always
- have the same schema, even if the requested rows are invalid (out of range).
-
- Args:
- offset (int): The first row to read.
- length (int): The number of rows to read.
-
- Returns:
- pa.Table: The requested rows.
- """
- if (len(self.row_group_offsets) == 0) or (len(self.row_group_readers) == 0):
- raise ParquetResponseEmptyError("No parquet files found.")
- last_row_in_parquet = self.row_group_offsets[-1] - 1
- first_row = min(offset, last_row_in_parquet)
- last_row = min(offset + length - 1, last_row_in_parquet)
- first_row_group_id, last_row_group_id = np.searchsorted(
- self.row_group_offsets, [first_row, last_row], side="right"
- )
- pa_table = pa.concat_tables(
- [self.row_group_readers[i]() for i in range(first_row_group_id, last_row_group_id + 1)]
- )
- first_row_in_pa_table = self.row_group_offsets[first_row_group_id - 1] if first_row_group_id > 0 else 0
- return pa_table.slice(offset - first_row_in_pa_table, length)
-
- @staticmethod
- def from_parquet_file_items(
- parquet_file_items: List[SplitHubFile],
- dataset: str,
- config: str,
- split: str,
- hf_token: Optional[str],
- unsupported_features_magic_strings: List[str] = [],
- ) -> "ParquetIndexWithoutMetadata":
- try:
- sources = sorted(f"{config}/{parquet_file['filename']}" for parquet_file in parquet_file_items)
- except Exception as e:
- raise ParquetResponseFormatError(f"Could not parse the list of parquet files: {e}") from e
- logging.debug(
- f"Found {len(sources)} parquet files for dataset={dataset}, config={config}, split={split}: {sources}"
- )
- if not sources:
- raise ParquetResponseEmptyError("No parquet files found.")
- with StepProfiler(
- method="parquet_index_without_metadata.from_parquet_file_items", step="get the Hub's dataset filesystem"
- ):
- fs = get_hf_fs(hf_token=hf_token)
- with StepProfiler(method="parquet_index_without_metadata.from_parquet_file_items", step="get the source URIs"):
- source_uris = get_hf_parquet_uris(sources, dataset=dataset)
- with StepProfiler(
- method="parquet_index_without_metadata.from_parquet_file_items",
- step="get one parquet reader per parquet file",
- ):
- desc = f"{dataset}/{config}/{split}"
- try:
- parquet_files: List[pq.ParquetFile] = thread_map(
- partial(pq.ParquetFile, filesystem=fs), source_uris, desc=desc, unit="pq", disable=True
- )
- except Exception as e:
- raise FileSystemError(f"Could not read the parquet files: {e}") from e
- with StepProfiler(
- method="parquet_index_without_metadata.from_parquet_file_items", step="get the dataset's features"
- ):
- features = Features.from_arrow_schema(parquet_files[0].schema.to_arrow_schema())
- supported_columns, unsupported_columns = get_supported_unsupported_columns(
- features, unsupported_features_magic_strings=unsupported_features_magic_strings
- )
-
- with StepProfiler(
- method="parquet_index_without_metadata.from_parquet_file_items", step="create the row group offsets"
- ):
- row_group_offsets = np.cumsum(
- [
- parquet_file.metadata.row_group(group_id).num_rows
- for parquet_file in parquet_files
- for group_id in range(parquet_file.metadata.num_row_groups)
- ]
- )
- with StepProfiler(
- method="parquet_index_without_metadata.from_parquet_file_items", step="create the row group readers"
- ):
- row_group_readers: List[Callable[[], pa.Table]] = [
- partial(parquet_file.read_row_group, i=group_id, columns=supported_columns)
- for parquet_file in parquet_files
- for group_id in range(parquet_file.metadata.num_row_groups)
- ]
- return ParquetIndexWithoutMetadata(
- features=features,
- supported_columns=supported_columns,
- unsupported_columns=unsupported_columns,
- row_group_offsets=row_group_offsets,
- row_group_readers=row_group_readers,
- )
-
-
@@ -376 +241 @@ class RowsIndex:
- ) -> Union[ParquetIndexWithMetadata, ParquetIndexWithoutMetadata]:
+ ) -> ParquetIndexWithMetadata:
@@ -380,4 +244,0 @@ class RowsIndex:
- config_parquet_processing_steps = self.processing_graph.get_config_parquet_processing_steps()
- if not config_parquet_processing_steps:
- raise RuntimeError("No processing steps are configured to provide a config's parquet response.")
-
@@ -387 +247,0 @@ class RowsIndex:
-
@@ -389,2 +248,0 @@ class RowsIndex:
- cache_kinds.extend([step.cache_kind for step in config_parquet_processing_steps])
-
@@ -399,33 +257,14 @@ class RowsIndex:
- if content and "parquet_files" in content:
- logging.info(
- f"Create ParquetIndexWithoutMetadata for dataset={self.dataset}, config={self.config},"
- f" split={self.split}"
- )
- return ParquetIndexWithoutMetadata.from_parquet_file_items(
- [
- parquet_item
- for parquet_item in content["parquet_files"]
- if parquet_item["split"] == self.split and parquet_item["config"] == self.config
- ],
- dataset=self.dataset,
- config=self.config,
- split=self.split,
- hf_token=hf_token,
- unsupported_features_magic_strings=unsupported_features_magic_strings,
- )
- else:
- logging.info(
- f"Create ParquetIndexWithMetadata for dataset={self.dataset}, config={self.config},"
- f" split={self.split}"
- )
- return ParquetIndexWithMetadata.from_parquet_metadata_items(
- [
- parquet_item
- for parquet_item in content["parquet_files_metadata"]
- if parquet_item["split"] == self.split and parquet_item["config"] == self.config
- ],
- parquet_metadata_directory=parquet_metadata_directory,
- httpfs=self.httpfs,
- hf_token=hf_token,
- unsupported_features_magic_strings=unsupported_features_magic_strings,
- )
+ logging.info(
+ f"Create ParquetIndexWithMetadata for dataset={self.dataset}, config={self.config}, split={self.split}"
+ )
+ return ParquetIndexWithMetadata.from_parquet_metadata_items(
+ [
+ parquet_item
+ for parquet_item in content["parquet_files_metadata"]
+ if parquet_item["split"] == self.split and parquet_item["config"] == self.config
+ ],
+ parquet_metadata_directory=parquet_metadata_directory,
+ httpfs=self.httpfs,
+ hf_token=hf_token,
+ unsupported_features_magic_strings=unsupported_features_magic_strings,
+ )
diff --git a/libs/libcommon/tests/test_processing_graph.py b/libs/libcommon/tests/test_processing_graph.py
index 0a15fda6..639c2275 100644
--- a/libs/libcommon/tests/test_processing_graph.py
+++ b/libs/libcommon/tests/test_processing_graph.py
@@ -132,2 +132,2 @@ def graph() -> ProcessingGraph:
- ["config-parquet"],
- ["config-parquet", "dataset-config-names", "config-parquet-and-info"],
+ ["config-parquet-metadata"],
+ ["config-parquet", "dataset-config-names", "config-parquet-and-info", "config-parquet-metadata"],
@@ -152 +152 @@ def graph() -> ProcessingGraph:
- ["config-parquet-metadata", "split-first-rows-from-parquet", "dataset-parquet"],
+ ["config-parquet-metadata", "dataset-parquet"],
@@ -158 +158 @@ def graph() -> ProcessingGraph:
- [],
+ ["split-first-rows-from-parquet"],
@@ -206,0 +207 @@ def graph() -> ProcessingGraph:
+ "config-parquet-metadata",
@@ -221,0 +223 @@ def graph() -> ProcessingGraph:
+ "config-parquet-metadata",
@@ -236,0 +239 @@ def graph() -> ProcessingGraph:
+ "config-parquet-metadata",
@@ -253,0 +257 @@ def graph() -> ProcessingGraph:
+ "config-parquet-metadata",
@@ -270,0 +275 @@ def graph() -> ProcessingGraph:
+ "config-parquet-metadata",
@@ -288,0 +294 @@ def graph() -> ProcessingGraph:
+ "config-parquet-metadata",
diff --git a/services/rows/tests/routes/test_rows.py b/services/rows/tests/routes/test_rows.py
index fdb55d06..f40c27b8 100644
--- a/services/rows/tests/routes/test_rows.py
+++ b/services/rows/tests/routes/test_rows.py
@@ -12 +11,0 @@ from unittest.mock import patch
-import numpy as np
@@ -19,6 +18 @@ from fsspec.implementations.http import HTTPFileSystem
-from libcommon.parquet_utils import (
- Indexer,
- ParquetIndexWithMetadata,
- ParquetIndexWithoutMetadata,
- RowsIndex,
-)
+from libcommon.parquet_utils import Indexer, ParquetIndexWithMetadata, RowsIndex
@@ -264,60 +257,0 @@ def indexer(
-def mock_get_hf_parquet_uris(paths: List[str], dataset: str) -> List[str]:
- return paths
-
-
[email protected]
-def rows_index(
- indexer: Indexer,
- ds_sharded: Dataset,
- ds_sharded_fs: AbstractFileSystem,
- dataset_sharded_with_config_parquet: dict[str, Any],
-) -> Generator[RowsIndex, None, None]:
- with patch("libcommon.parquet_utils.get_hf_fs", return_value=ds_sharded_fs):
- with patch("libcommon.parquet_utils.get_hf_parquet_uris", side_effect=mock_get_hf_parquet_uris):
- yield indexer.get_rows_index("ds_sharded", "plain_text", "train")
-
-
-def test_indexer_get_rows_index(
- indexer: Indexer, ds: Dataset, ds_fs: AbstractFileSystem, dataset_with_config_parquet: dict[str, Any]
-) -> None:
- with patch("libcommon.parquet_utils.get_hf_fs", return_value=ds_fs):
- with patch("libcommon.parquet_utils.get_hf_parquet_uris", side_effect=mock_get_hf_parquet_uris):
- index = indexer.get_rows_index("ds", "plain_text", "train")
- assert isinstance(index.parquet_index, ParquetIndexWithoutMetadata)
- assert index.parquet_index.features == ds.features
- assert index.parquet_index.row_group_offsets.tolist() == [len(ds)]
- assert len(index.parquet_index.row_group_readers) == 1
- row_group_reader = index.parquet_index.row_group_readers[0]
- pa_table = row_group_reader()
- assert pa_table.to_pydict() == ds.to_dict()
-
-
-def test_indexer_get_rows_index_sharded(
- indexer: Indexer,
- ds: Dataset,
- ds_sharded: Dataset,
- ds_sharded_fs: AbstractFileSystem,
- dataset_sharded_with_config_parquet: dict[str, Any],
-) -> None:
- with patch("libcommon.parquet_utils.get_hf_fs", return_value=ds_sharded_fs):
- with patch("libcommon.parquet_utils.get_hf_parquet_uris", side_effect=mock_get_hf_parquet_uris):
- index = indexer.get_rows_index("ds_sharded", "plain_text", "train")
- assert isinstance(index.parquet_index, ParquetIndexWithoutMetadata)
- assert index.parquet_index.features == ds_sharded.features
- assert index.parquet_index.row_group_offsets.tolist() == np.cumsum([len(ds)] * 4).tolist()
- assert len(index.parquet_index.row_group_readers) == 4
- row_group_reader = index.parquet_index.row_group_readers[0]
- pa_table = row_group_reader()
- assert pa_table.to_pydict() == ds.to_dict()
-
-
-def test_rows_index_query(rows_index: RowsIndex, ds_sharded: Dataset) -> None:
- assert rows_index.query(offset=1, length=3).to_pydict() == ds_sharded[1:4]
- assert rows_index.query(offset=1, length=-1).to_pydict() == ds_sharded[:0]
- assert rows_index.query(offset=1, length=0).to_pydict() == ds_sharded[:0]
- assert rows_index.query(offset=999999, length=1).to_pydict() == ds_sharded[:0]
- assert rows_index.query(offset=1, length=99999999).to_pydict() == ds_sharded[1:]
- with pytest.raises(IndexError):
- rows_index.query(offset=-1, length=2)
-
-
diff --git a/services/worker/tests/job_runners/split/test_first_rows_from_parquet.py b/services/worker/tests/job_runners/split/test_first_rows_from_parquet.py
index 980eb479..06d2222f 100644
--- a/services/worker/tests/job_runners/split/test_first_rows_from_parquet.py
+++ b/services/worker/tests/job_runners/split/test_first_rows_from_parquet.py
@@ -3,0 +4 @@
+import os
@@ -6 +7 @@ from http import HTTPStatus
-from typing import Callable, Generator, List
+from typing import Callable, Generator
@@ -8,0 +10 @@ from unittest.mock import patch
+import pyarrow.parquet as pq
@@ -48 +50 @@ def get_job_runner(
- "provides_config_parquet": True,
+ "provides_config_parquet_metadata": True,
@@ -92,4 +93,0 @@ def ds_fs(ds: Dataset, tmpfs: AbstractFileSystem) -> Generator[AbstractFileSyste
-def mock_get_hf_parquet_uris(paths: List[str], dataset: str) -> List[str]:
- return paths
-
-
@@ -104,0 +103 @@ def test_compute(
+ ds: Dataset,
@@ -105,0 +105 @@ def test_compute(
+ parquet_metadata_directory: StrPath,
@@ -112,0 +113,5 @@ def test_compute(
+ parquet_file = ds_fs.open("config/dataset-split.parquet")
+ fake_url = (
+ "https://fake.huggingface.co/datasets/dataset/resolve/refs%2Fconvert%2Fparquet/config/dataset-split.parquet"
+ )
+ fake_metadata_subpath = "fake-parquet-metadata/dataset/config/dataset-split.parquet"
@@ -114,2 +119,2 @@ def test_compute(
- config_parquet_content = {
- "parquet_files": [
+ config_parquet_metadata_content = {
+ "parquet_files_metadata": [
@@ -120 +125 @@ def test_compute(
- "url": "https://fake.huggingface.co/datasets/dataset/resolve/refs%2Fconvert%2Fparquet/config/dataset-split.parquet", # noqa: E501
+ "url": fake_url, # noqa: E501
@@ -122 +127,3 @@ def test_compute(
- "size": 128,
+ "size": parquet_file.size,
+ "num_rows": len(ds),
+ "parquet_metadata_subpath": fake_metadata_subpath,
@@ -131 +138 @@ def test_compute(
- content=config_parquet_content,
+ content=config_parquet_metadata_content,
@@ -135,20 +142,18 @@ def test_compute(
- with patch("libcommon.parquet_utils.get_hf_fs", return_value=ds_fs):
- with patch(
- "libcommon.parquet_utils.get_hf_parquet_uris",
- side_effect=mock_get_hf_parquet_uris,
- ):
- job_runner = get_job_runner(
- dataset,
- config,
- split,
- replace(
- app_config,
- common=replace(app_config.common, hf_token=None),
- first_rows=replace(
- app_config.first_rows,
- max_number=1_000_000,
- min_number=10,
- max_bytes=rows_max_bytes,
- min_cell_bytes=10,
- columns_max_number=columns_max_number,
- ),
+ parquet_metadata = pq.read_metadata(ds_fs.open("config/dataset-split.parquet"))
+ with patch("libcommon.parquet_utils.HTTPFile", return_value=parquet_file) as mock_http_file, patch(
+ "pyarrow.parquet.read_metadata", return_value=parquet_metadata
+ ) as mock_read_metadata, patch("pyarrow.parquet.read_schema", return_value=ds.data.schema) as mock_read_schema:
+ job_runner = get_job_runner(
+ dataset,
+ config,
+ split,
+ replace(
+ app_config,
+ common=replace(app_config.common, hf_token=None),
+ first_rows=replace(
+ app_config.first_rows,
+ max_number=1_000_000,
+ min_number=10,
+ max_bytes=rows_max_bytes,
+ min_cell_bytes=10,
+ columns_max_number=columns_max_number,
@@ -156 +161,2 @@ def test_compute(
- )
+ ),
+ )
@@ -158,31 +164,40 @@ def test_compute(
- if error_code:
- with pytest.raises(CustomError) as error_info:
- job_runner.compute()
- assert error_info.value.code == error_code
- else:
- response = job_runner.compute().content
- assert get_json_size(response) <= rows_max_bytes
- assert response
- assert response["rows"]
- assert response["features"]
- assert len(response["rows"]) == 3 # testing file has 3 rows see config/dataset-split.parquet file
- assert (
- len(response["features"]) == 2
- ) # testing file has 2 columns see config/dataset-split.parquet file
- assert response["features"][0]["feature_idx"] == 0
- assert response["features"][0]["name"] == "col1"
- assert response["features"][0]["type"]["_type"] == "Value"
- assert response["features"][0]["type"]["dtype"] == "int64"
- assert response["features"][1]["feature_idx"] == 1
- assert response["features"][1]["name"] == "col2"
- assert response["features"][1]["type"]["_type"] == "Value"
- assert response["features"][1]["type"]["dtype"] == "string"
- assert response["rows"][0]["row_idx"] == 0
- assert response["rows"][0]["truncated_cells"] == []
- assert response["rows"][0]["row"] == {"col1": 1, "col2": "a"}
- assert response["rows"][1]["row_idx"] == 1
- assert response["rows"][1]["truncated_cells"] == []
- assert response["rows"][1]["row"] == {"col1": 2, "col2": "b"}
- assert response["rows"][2]["row_idx"] == 2
- assert response["rows"][2]["truncated_cells"] == []
- assert response["rows"][2]["row"] == {"col1": 3, "col2": "c"}
+ if error_code:
+ with pytest.raises(CustomError) as error_info:
+ job_runner.compute()
+ assert error_info.value.code == error_code
+ else:
+ response = job_runner.compute().content
+ assert get_json_size(response) <= rows_max_bytes
+ assert response
+ assert response["rows"]
+ assert response["features"]
+ assert len(response["rows"]) == 3 # testing file has 3 rows see config/dataset-split.parquet file
+ assert len(response["features"]) == 2 # testing file has 2 columns see config/dataset-split.parquet file
+ assert response["features"][0]["feature_idx"] == 0
+ assert response["features"][0]["name"] == "col1"
+ assert response["features"][0]["type"]["_type"] == "Value"
+ assert response["features"][0]["type"]["dtype"] == "int64"
+ assert response["features"][1]["feature_idx"] == 1
+ assert response["features"][1]["name"] == "col2"
+ assert response["features"][1]["type"]["_type"] == "Value"
+ assert response["features"][1]["type"]["dtype"] == "string"
+ assert response["rows"][0]["row_idx"] == 0
+ assert response["rows"][0]["truncated_cells"] == []
+ assert response["rows"][0]["row"] == {"col1": 1, "col2": "a"}
+ assert response["rows"][1]["row_idx"] == 1
+ assert response["rows"][1]["truncated_cells"] == []
+ assert response["rows"][1]["row"] == {"col1": 2, "col2": "b"}
+ assert response["rows"][2]["row_idx"] == 2
+ assert response["rows"][2]["truncated_cells"] == []
+ assert response["rows"][2]["row"] == {"col1": 3, "col2": "c"}
+
+ assert len(mock_http_file.call_args_list) == 1
+ assert mock_http_file.call_args_list[0][0][1] == fake_url
+ assert len(mock_read_metadata.call_args_list) == 1
+ assert mock_read_metadata.call_args_list[0][0][0] == os.path.join(
+ parquet_metadata_directory, fake_metadata_subpath
+ )
+ assert len(mock_read_schema.call_args_list) == 1
+ assert mock_read_schema.call_args_list[0][0][0] == os.path.join(
+ parquet_metadata_directory, fake_metadata_subpath
+ )
|
|
38e177ec3e3f9a56ff83a6ce35deb9386e834fb1
|
Quentin Lhoest
| 2023-07-06T16:12:27 |
Convert if too big row groups for copy (#1497)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 2686c8c8..ee6303c8 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -114,0 +115 @@ parquetAndInfo:
+ maxRowGroupByteSizeForCopy: "500_000_000"
diff --git a/chart/templates/_envWorker.tpl b/chart/templates/_envWorker.tpl
index 18e1497c..07c101d1 100644
--- a/chart/templates/_envWorker.tpl
+++ b/chart/templates/_envWorker.tpl
@@ -55,0 +56,4 @@
+- name: PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES
+ value: {{ .Values.parquetAndInfo.maxExternalDataFiles | quote }}
+- name: PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY
+ value: {{ .Values.parquetAndInfo.maxRowGroupByteSizeForCopy | quote }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 7dc3e7cc..191acf46 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -180 +180 @@ parquetAndInfo:
- # the maximum size of the supported datasets. Bigger datasets, or datasets that cannot provide the size, are ignored.
+ # the maximum size in bytes of the dataset to pre-compute the parquet files. Bigger datasets, or datasets without that information, are partially streamed to get parquet files up to this value.
@@ -181,0 +182,4 @@ parquetAndInfo:
+ # the maximum number of external files of the datasets. Bigger datasets, or datasets without that information, are partially streamed to get parquet files up to `maxDatasetSize` bytes.
+ maxExternalDataFiles: "10_000"
+ # the maximum size in bytes of the row groups of parquet datasets that are copied to the target revision. Bigger datasets, or datasets without that information, are partially streamed to get parquet files up to `maxDatasetSize` bytes.
+ maxRowGroupByteSizeForCopy: "100_000_000"
diff --git a/services/worker/README.md b/services/worker/README.md
index 778a5ffb..bb6c8c98 100644
--- a/services/worker/README.md
+++ b/services/worker/README.md
@@ -74 +74,3 @@ Set environment variables to configure the `parquet-and-info` worker (`PARQUET_A
-- `PARQUET_AND_INFO_MAX_DATASET_SIZE`: the maximum size in bytes of the dataset to pre-compute the parquet files. Bigger datasets, or datasets without that information, are ignored. Defaults to `100_000_000`.
+- `PARQUET_AND_INFO_MAX_DATASET_SIZE`: the maximum size in bytes of the dataset to pre-compute the parquet files. Bigger datasets, or datasets without that information, are partially streamed to get parquet files up to this value. Defaults to `100_000_000`.
+- `PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES`: the maximum number of external files of the datasets. Bigger datasets, or datasets without that information, are partially streamed to get parquet files up to `PARQUET_AND_INFO_MAX_DATASET_SIZE` bytes. Defaults to `10_000`.
+- `PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY`: the maximum size in bytes of the row groups of parquet datasets that are copied to the target revision. Bigger datasets, or datasets without that information, are partially streamed to get parquet files up to `PARQUET_AND_INFO_MAX_DATASET_SIZE` bytes. Defaults to `100_000_000`.
diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py
index 25ba41fa..b116ac70 100644
--- a/services/worker/src/worker/config.py
+++ b/services/worker/src/worker/config.py
@@ -178,0 +179 @@ PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES = 10_000
+PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY = 100_000_000
@@ -190,0 +192 @@ class ParquetAndInfoConfig:
+ max_row_group_byte_size_for_copy: int = PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY
@@ -204,0 +207,6 @@ class ParquetAndInfoConfig:
+ max_external_data_files=env.int(
+ name="MAX_EXTERNAL_DATA_FILES", default=PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES
+ ),
+ max_row_group_byte_size_for_copy=env.int(
+ name="MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY", default=PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY
+ ),
diff --git a/services/worker/src/worker/job_runners/config/parquet_and_info.py b/services/worker/src/worker/job_runners/config/parquet_and_info.py
index cae1b12c..171404c3 100644
--- a/services/worker/src/worker/job_runners/config/parquet_and_info.py
+++ b/services/worker/src/worker/job_runners/config/parquet_and_info.py
@@ -545 +545 @@ def _is_too_big_from_external_data_files(
-def get_writer_batch_size(ds_config_info: datasets.info.DatasetInfo) -> Optional[int]:
+def get_writer_batch_size_from_info(ds_config_info: datasets.info.DatasetInfo) -> Optional[int]:
@@ -568,0 +569,30 @@ def get_writer_batch_size(ds_config_info: datasets.info.DatasetInfo) -> Optional
+def get_writer_batch_size_from_row_group_size(
+ num_rows: int, row_group_byte_size: int, max_row_group_byte_size: int, factor_of: int = 100, divide_step: int = 10
+) -> int:
+ """
+ Get the writer_batch_size that defines the maximum row group size in the parquet files,
+ given a sample row group size that mught be too big.
+
+ This allows to optimize random access to parquet file, since accessing 1 row requires
+ to read its entire row group.
+
+ Args:
+ num_rows (`int`):
+ Number of rows in the sample row group.
+ row_group_byte_size (`int`):
+ Number of bytes of uncompressed data in the sample row group.
+ max_row_group_byte_size (`int`):
+ Maximum number of bytes of uncompressed data for batches that
+ will be passed to a dataset builder.
+ Returns:
+ writer_batch_size (`Optional[int]`):
+ Writer batch size to pass to a dataset builder.
+ """
+ writer_batch_size = max(num_rows // factor_of * factor_of, factor_of)
+ writer_batch_byte_size = row_group_byte_size * writer_batch_size / num_rows
+ while writer_batch_size > factor_of and writer_batch_byte_size > max_row_group_byte_size:
+ writer_batch_size = max(writer_batch_size // divide_step // factor_of * factor_of, factor_of)
+ writer_batch_byte_size = row_group_byte_size * writer_batch_size / num_rows
+ return writer_batch_size
+
+
@@ -613,0 +644,13 @@ class NotAParquetFileError(ValueError):
+class ParquetValidationError(ValueError):
+ """When a parquet file is not validated for copy"""
+
+
+class TooBigRowGroupsError(ParquetValidationError):
+ """When a parquet file has row groups that are too big for copy"""
+
+ def __init__(self, *args: object, num_rows: int, row_group_byte_size: int) -> None:
+ super().__init__(*args)
+ self.num_rows = num_rows
+ self.row_group_byte_size = row_group_byte_size
+
+
@@ -620,2 +663,2 @@ def get_parquet_file_and_size(url: str, fs: HTTPFileSystem, hf_token: Optional[s
-def retry_get_parquet_file_and_size(
- url: str, fs: HTTPFileSystem, hf_token: Optional[str]
+def retry_and_validate_get_parquet_file_and_size(
+ url: str, fs: HTTPFileSystem, hf_token: Optional[str], validate: Optional[Callable[[pq.ParquetFile], None]]
@@ -625,0 +669,2 @@ def retry_get_parquet_file_and_size(
+ if validate:
+ validate(pf)
@@ -634 +679,37 @@ def retry_get_parquet_file_and_size(
-def fill_builder_info(builder: DatasetBuilder, hf_token: Optional[str]) -> None:
+class ParquetFileValidator:
+ """
+ Validate the Parquet files before they are copied to the target revision.
+ In particular we check that the row group size is not too big, otherwise the dataset viewer
+ doesn't work correctly.
+
+ Note: we only validate the first parquet files (default 5 first files).
+ We don't want to check the biggest row group of all the dataset, but rather just get the order
+ of magnitude of the size. Otherwise we might end up converting a dataset that has 99% good row
+ groups but 1% that is a bit too big, which is overkill.
+ """
+
+ def __init__(self, max_row_group_byte_size: int, max_validation: int = 5) -> None:
+ self.max_row_group_byte_size = max_row_group_byte_size
+ self.num_validations = 0
+ self.max_validations = max_validation
+
+ def validate(self, pf: pq.ParquetFile) -> None:
+ if self.num_validations >= self.max_validations:
+ return
+ row_group_metadata = pf.metadata.row_group(0)
+ row_group_size = row_group_metadata.total_byte_size
+ if row_group_metadata.total_byte_size > self.max_row_group_byte_size:
+ raise TooBigRowGroupsError(
+ (
+ f"Parquet file has too big row groups. First row group has {row_group_size} which exceeds the"
+ f" limit of {self.max_row_group_byte_size}"
+ ),
+ num_rows=row_group_metadata.num_rows,
+ row_group_byte_size=row_group_metadata.total_byte_size,
+ )
+ self.num_validations += 1
+
+
+def fill_builder_info(
+ builder: DatasetBuilder, hf_token: Optional[str], validate: Optional[Callable[[pq.ParquetFile], None]]
+) -> None:
@@ -648 +729,3 @@ def fill_builder_info(builder: DatasetBuilder, hf_token: Optional[str]) -> None:
- functools.partial(retry_get_parquet_file_and_size, fs=fs, hf_token=hf_token),
+ functools.partial(
+ retry_and_validate_get_parquet_file_and_size, fs=fs, hf_token=hf_token, validate=validate
+ ),
@@ -653,0 +737,2 @@ def fill_builder_info(builder: DatasetBuilder, hf_token: Optional[str]) -> None:
+ except ParquetValidationError:
+ raise
@@ -793 +878,3 @@ def list_generated_parquet_files(builder: DatasetBuilder, partial: bool = False)
-def stream_convert_to_parquet(builder: DatasetBuilder, max_dataset_size: int) -> Tuple[List[CommitOperationAdd], bool]:
+def stream_convert_to_parquet(
+ builder: DatasetBuilder, max_dataset_size: int, writer_batch_size: Optional[int] = None
+) -> Tuple[List[CommitOperationAdd], bool]:
@@ -795 +882 @@ def stream_convert_to_parquet(builder: DatasetBuilder, max_dataset_size: int) ->
- writer_batch_size = get_writer_batch_size(builder.info)
+ writer_batch_size = writer_batch_size or get_writer_batch_size_from_info(builder.info)
@@ -837 +924 @@ def convert_to_parquet(builder: DatasetBuilder) -> List[CommitOperationAdd]:
- writer_batch_size = get_writer_batch_size(builder.info)
+ writer_batch_size = get_writer_batch_size_from_info(builder.info)
@@ -1055,0 +1143 @@ def compute_config_parquet_and_info_response(
+ max_row_group_byte_size_for_copy: int,
@@ -1092,0 +1181,2 @@ def compute_config_parquet_and_info_response(
+ max_row_group_byte_size_for_copy (`int`):
+ The maximum size in bytes of parquet files that are allowed to be copied without being converted.
@@ -1181,2 +1271,15 @@ def compute_config_parquet_and_info_response(
- parquet_operations = copy_parquet_files(builder)
- fill_builder_info(builder, hf_token=hf_token)
+ try:
+ parquet_operations = copy_parquet_files(builder)
+ validate = ParquetFileValidator(max_row_group_byte_size=max_row_group_byte_size_for_copy).validate
+ fill_builder_info(builder, hf_token=hf_token, validate=validate)
+ except TooBigRowGroupsError as err:
+ # aim for a writer_batch_size that is factor of 100
+ # and with a batch_byte_size that is smaller than max_row_group_byte_size_for_copy
+ writer_batch_size = get_writer_batch_size_from_row_group_size(
+ num_rows=err.num_rows,
+ row_group_byte_size=err.row_group_byte_size,
+ max_row_group_byte_size=max_row_group_byte_size_for_copy,
+ )
+ parquet_operations, partial = stream_convert_to_parquet(
+ builder, max_dataset_size=max_dataset_size, writer_batch_size=writer_batch_size
+ )
@@ -1305,0 +1409 @@ class ConfigParquetAndInfoJobRunner(ConfigJobRunnerWithDatasetsCache):
+ max_row_group_byte_size_for_copy=self.parquet_and_info_config.max_row_group_byte_size_for_copy,
diff --git a/services/worker/tests/job_runners/config/test_parquet_and_info.py b/services/worker/tests/job_runners/config/test_parquet_and_info.py
index 2054d393..d8ee28bf 100644
--- a/services/worker/tests/job_runners/config/test_parquet_and_info.py
+++ b/services/worker/tests/job_runners/config/test_parquet_and_info.py
@@ -25,0 +26 @@ from datasets.packaged_modules.generator.generator import (
+from datasets.utils.py_utils import asdict
@@ -43,0 +45,2 @@ from worker.job_runners.config.parquet_and_info import (
+ ParquetFileValidator,
+ TooBigRowGroupsError,
@@ -47,0 +51 @@ from worker.job_runners.config.parquet_and_info import (
+ fill_builder_info,
@@ -49 +53,2 @@ from worker.job_runners.config.parquet_and_info import (
- get_writer_batch_size,
+ get_writer_batch_size_from_info,
+ get_writer_batch_size_from_row_group_size,
@@ -623,2 +628,2 @@ def test_parse_repo_filename(filename: str, split: str, config: str, raises: boo
-def test_get_writer_batch_size(ds_info: datasets.info.DatasetInfo, has_big_chunks: bool) -> None:
- assert get_writer_batch_size(ds_info) == (100 if has_big_chunks else None)
+def test_get_writer_batch_size_from_info(ds_info: datasets.info.DatasetInfo, has_big_chunks: bool) -> None:
+ assert get_writer_batch_size_from_info(ds_info) == (100 if has_big_chunks else None)
@@ -854 +859 @@ def test_stream_convert_to_parquet_arrowbasedbuilder(
- with patch("worker.job_runners.config.parquet_and_info.get_writer_batch_size", lambda ds_config_info: 1):
+ with patch("worker.job_runners.config.parquet_and_info.get_writer_batch_size_from_info", lambda ds_config_info: 1):
@@ -892 +897 @@ def test_stream_convert_to_parquet_generatorbasedbuilder(
- with patch("worker.job_runners.config.parquet_and_info.get_writer_batch_size", lambda ds_config_info: 1):
+ with patch("worker.job_runners.config.parquet_and_info.get_writer_batch_size_from_info", lambda ds_config_info: 1):
@@ -928,0 +934,50 @@ def test_limit_parquet_writes(tmp_path: Path) -> None:
+
+
[email protected](
+ "validate,too_big_row_groups",
+ [
+ (None, False),
+ (ParquetFileValidator(max_row_group_byte_size=1).validate, True),
+ (ParquetFileValidator(max_row_group_byte_size=100_000).validate, False),
+ ],
+)
+def test_fill_builder_info(
+ hub_reponses_big: HubDatasetTest,
+ tmp_path: Path,
+ validate: Optional[Callable[[pq.ParquetFile], None]],
+ too_big_row_groups: bool,
+) -> None:
+ cache_dir = str(tmp_path / "test_fill_builder_info")
+ name = hub_reponses_big["name"]
+ builder = load_dataset_builder(name, cache_dir=cache_dir)
+ builder.info = datasets.info.DatasetInfo()
+ if too_big_row_groups:
+ with pytest.raises(TooBigRowGroupsError) as exc_info:
+ fill_builder_info(builder, hf_token=None, validate=validate)
+ assert isinstance(exc_info.value, TooBigRowGroupsError)
+ assert isinstance(exc_info.value.num_rows, int)
+ assert isinstance(exc_info.value.row_group_byte_size, int)
+ else:
+ fill_builder_info(builder, hf_token=None, validate=validate)
+ expected_info = hub_reponses_big["parquet_and_info_response"]["dataset_info"]
+ assert expected_info == asdict(builder.info)
+
+
[email protected](
+ "num_rows, row_group_byte_size, max_row_group_byte_size, expected",
+ [
+ (1000, 1000, 500, 100),
+ (1000, 1000_000, 500_000, 100),
+ (123456789, 123456789, 1000, 100),
+ (987654321, 987654321, 1000, 900),
+ (1000, 10, 1000, 1000),
+ (10, 1000, 1000, 100),
+ ],
+)
+def test_get_writer_batch_size_from_row_group_size(
+ num_rows: int, row_group_byte_size: int, max_row_group_byte_size: int, expected: int
+) -> None:
+ writer_batch_size = get_writer_batch_size_from_row_group_size(
+ num_rows=num_rows, row_group_byte_size=row_group_byte_size, max_row_group_byte_size=max_row_group_byte_size
+ )
+ assert writer_batch_size == expected
diff --git a/tools/docker-compose-datasets-server.yml b/tools/docker-compose-datasets-server.yml
index 542101d5..7c6f38ee 100644
--- a/tools/docker-compose-datasets-server.yml
+++ b/tools/docker-compose-datasets-server.yml
@@ -139,0 +140,2 @@ services:
+ PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES: ${PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES-10_000}
+ PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY: ${PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY-100_000_000}
diff --git a/tools/docker-compose-dev-datasets-server.yml b/tools/docker-compose-dev-datasets-server.yml
index 3a5cb0f4..c7a0e114 100644
--- a/tools/docker-compose-dev-datasets-server.yml
+++ b/tools/docker-compose-dev-datasets-server.yml
@@ -144,0 +145,2 @@ services:
+ PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES: ${PARQUET_AND_INFO_MAX_EXTERNAL_DATA_FILES-10_000}
+ PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY: ${PARQUET_AND_INFO_MAX_ROW_GROUP_BYTE_SIZE_FOR_COPY-100_000_000}
|
|
678c95b21c80f44e0ff9e81cebd3cd173335eea2
|
Andrea Francis Soria Jimenez
| 2023-07-06T15:13:12 |
Exclude parquet volume (#1501)
|
diff --git a/chart/templates/_initContainerParquetMetadata.tpl b/chart/templates/_initContainerParquetMetadata.tpl
index 8e9d86c9..fb7fa696 100644
--- a/chart/templates/_initContainerParquetMetadata.tpl
+++ b/chart/templates/_initContainerParquetMetadata.tpl
@@ -14 +14 @@
- name: parquet-data
+ name: data
diff --git a/chart/templates/_volumeMountParquetMetadata.tpl b/chart/templates/_volumeMountParquetMetadata.tpl
index c718097a..9c3fc40e 100644
--- a/chart/templates/_volumeMountParquetMetadata.tpl
+++ b/chart/templates/_volumeMountParquetMetadata.tpl
@@ -7 +7 @@
- name: parquet-data
+ name: data
@@ -15 +15 @@
- name: parquet-data
+ name: data
diff --git a/chart/templates/_volumeParquet.tpl b/chart/templates/_volumeParquet.tpl
deleted file mode 100644
index 3459f819..00000000
--- a/chart/templates/_volumeParquet.tpl
+++ /dev/null
@@ -1,8 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# Copyright 2022 The HuggingFace Authors.
-
-{{- define "volumeParquet" -}}
-- name: parquet-data
- persistentVolumeClaim:
- claimName: {{ .Values.parquetPersistence.existingClaim | default (include "name" .) }}
-{{- end -}}
diff --git a/chart/templates/services/rows/deployment.yaml b/chart/templates/services/rows/deployment.yaml
index b1dacaef..f4667a87 100644
--- a/chart/templates/services/rows/deployment.yaml
+++ b/chart/templates/services/rows/deployment.yaml
@@ -34 +33,0 @@ spec:
- {{ include "volumeParquet" . | nindent 8 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index c6441888..f63b9a01 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -37 +36,0 @@ spec:
- {{ include "volumeParquet" . | nindent 8 }}
|
|
001b9efd51f161b9d4016ec4d4c111c53662e06f
|
Andrea Francis Soria Jimenez
| 2023-07-06T14:43:13 |
Calle volumeCache (#1500)
|
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index bbfee9e8..c6441888 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -33 +33,2 @@ spec:
- volumes:
+ volumes:
+ {{ include "volumeCache" . | nindent 8 }}
|
|
fbc5a4e8d96ab2ece97e65d2bf33bdb371cf8a7d
|
Andrea Francis Soria Jimenez
| 2023-07-06T14:26:02 |
Fix volume ref (#1499)
|
diff --git a/chart/templates/_volumeMountCache.tpl b/chart/templates/_volumeMountCache.tpl
index 7a01c872..08541bc6 100644
--- a/chart/templates/_volumeMountCache.tpl
+++ b/chart/templates/_volumeMountCache.tpl
@@ -7 +7 @@
- name: data
+ name: cache-data
diff --git a/chart/templates/_volumeMountDuckDBIndex.tpl b/chart/templates/_volumeMountDuckDBIndex.tpl
index 01c37b89..6b148c97 100644
--- a/chart/templates/_volumeMountDuckDBIndex.tpl
+++ b/chart/templates/_volumeMountDuckDBIndex.tpl
@@ -7 +7 @@
- name: data
+ name: duckdb-data
diff --git a/chart/templates/_volumeMountParquetMetadata.tpl b/chart/templates/_volumeMountParquetMetadata.tpl
index 9c3fc40e..c718097a 100644
--- a/chart/templates/_volumeMountParquetMetadata.tpl
+++ b/chart/templates/_volumeMountParquetMetadata.tpl
@@ -7 +7 @@
- name: data
+ name: parquet-data
@@ -15 +15 @@
- name: data
+ name: parquet-data
|
|
30328c40269de349eba5b10da6d16837d98576ed
|
Andrea Francis Soria Jimenez
| 2023-07-06T14:04:45 |
Adding EFS volumes (#1495)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 3baf4565..2686c8c8 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -86,0 +87,9 @@ persistence:
+cachePersistence:
+ existingClaim: "datasets-server-cache-pvc"
+
+parquetPersistence:
+ existingClaim: "datasets-server-parquet-pvc"
+
+duckdbPersistence:
+ existingClaim: "datasets-server-duckdb-pvc"
+
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index 4aeea9d6..02c8de79 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -83,0 +84,9 @@ persistence:
+cachePersistence:
+ existingClaim: "datasets-server-cache-pvc"
+
+parquetPersistence:
+ existingClaim: "datasets-server-parquet-pvc"
+
+duckdbPersistence:
+ existingClaim: "datasets-server-duckdb-pvc"
+
diff --git a/chart/templates/_initContainerCache.tpl b/chart/templates/_initContainerCache.tpl
index 149cd80a..22a2dc72 100644
--- a/chart/templates/_initContainerCache.tpl
+++ b/chart/templates/_initContainerCache.tpl
@@ -14 +14 @@
- name: data
+ name: cache-data
diff --git a/chart/templates/_initContainerDuckDBIndex.tpl b/chart/templates/_initContainerDuckDBIndex.tpl
index ed7cb43b..59cbf584 100644
--- a/chart/templates/_initContainerDuckDBIndex.tpl
+++ b/chart/templates/_initContainerDuckDBIndex.tpl
@@ -14 +14 @@
- name: data
+ name: duckdb-data
diff --git a/chart/templates/_initContainerParquetMetadata.tpl b/chart/templates/_initContainerParquetMetadata.tpl
index fb7fa696..8e9d86c9 100644
--- a/chart/templates/_initContainerParquetMetadata.tpl
+++ b/chart/templates/_initContainerParquetMetadata.tpl
@@ -14 +14 @@
- name: data
+ name: parquet-data
diff --git a/chart/templates/_volumeCache.tpl b/chart/templates/_volumeCache.tpl
new file mode 100644
index 00000000..871cd087
--- /dev/null
+++ b/chart/templates/_volumeCache.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeCache" -}}
+- name: cache-data
+ persistentVolumeClaim:
+ claimName: {{ .Values.cachePersistence.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/_volumeDuckDB.tpl b/chart/templates/_volumeDuckDB.tpl
new file mode 100644
index 00000000..4beb9367
--- /dev/null
+++ b/chart/templates/_volumeDuckDB.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeDuckDB" -}}
+- name: duckdb-data
+ persistentVolumeClaim:
+ claimName: {{ .Values.duckdbPersistence.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/_volumeParquet.tpl b/chart/templates/_volumeParquet.tpl
new file mode 100644
index 00000000..3459f819
--- /dev/null
+++ b/chart/templates/_volumeParquet.tpl
@@ -0,0 +1,8 @@
+# SPDX-License-Identifier: Apache-2.0
+# Copyright 2022 The HuggingFace Authors.
+
+{{- define "volumeParquet" -}}
+- name: parquet-data
+ persistentVolumeClaim:
+ claimName: {{ .Values.parquetPersistence.existingClaim | default (include "name" .) }}
+{{- end -}}
diff --git a/chart/templates/services/rows/deployment.yaml b/chart/templates/services/rows/deployment.yaml
index d5edea1c..b1dacaef 100644
--- a/chart/templates/services/rows/deployment.yaml
+++ b/chart/templates/services/rows/deployment.yaml
@@ -32 +32,3 @@ spec:
- volumes: {{ include "volumeData" . | nindent 8 }}
+ volumes:
+ {{ include "volumeData" . | nindent 8 }}
+ {{ include "volumeParquet" . | nindent 8 }}
diff --git a/chart/templates/worker/_deployment.yaml b/chart/templates/worker/_deployment.yaml
index 03a70646..bbfee9e8 100644
--- a/chart/templates/worker/_deployment.yaml
+++ b/chart/templates/worker/_deployment.yaml
@@ -33 +33,4 @@ spec:
- volumes: {{ include "volumeData" . | nindent 8 }}
+ volumes:
+ {{ include "volumeData" . | nindent 8 }}
+ {{ include "volumeDuckDB" . | nindent 8 }}
+ {{ include "volumeParquet" . | nindent 8 }}
diff --git a/chart/values.yaml b/chart/values.yaml
index 3be2bfc4..7dc3e7cc 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -107,0 +108,9 @@ persistence:
+cachePersistence:
+ existingClaim: ""
+
+parquetPersistence:
+ existingClaim: ""
+
+duckdbPersistence:
+ existingClaim: ""
+
|
|
fa060501000cf1d6e5c652f940fe4dd83dbd4f4e
|
Sylvain Lesage
| 2023-07-05T16:37:45 |
feat: 🎸 reduce the number of workers (#1496)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index 12855799..3baf4565 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -301 +301 @@ workers:
- replicas: 150
+ replicas: 60
@@ -318 +318 @@ workers:
- replicas: 20
+ replicas: 12
|
|
7956951256215423d7ee6e6718bd7e249ec7eaba
|
Sylvain Lesage
| 2023-07-05T16:09:47 |
feat: 🎸 increase resources to flush the jobs (#1494)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index ec082cf5..12855799 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -301 +301 @@ workers:
- replicas: 80
+ replicas: 150
@@ -318 +318 @@ workers:
- replicas: 12
+ replicas: 20
|
|
b212cfb8b25a2df75266f27cfdea47f78d3e8cf2
|
Sylvain Lesage
| 2023-07-05T16:07:45 |
feat: 🎸 avoid adding filters on difficulty when not needed (#1493)
|
diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py
index 19dc97e7..c04596eb 100644
--- a/libs/libcommon/src/libcommon/constants.py
+++ b/libs/libcommon/src/libcommon/constants.py
@@ -18,0 +19,2 @@ DEFAULT_DIFFICULTY = 50
+DEFAULT_DIFFICULTY_MAX = 100
+DEFAULT_DIFFICULTY_MIN = 0
diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py
index 70a339a5..acae7aa2 100644
--- a/libs/libcommon/src/libcommon/queue.py
+++ b/libs/libcommon/src/libcommon/queue.py
@@ -23,0 +24,2 @@ from libcommon.constants import (
+ DEFAULT_DIFFICULTY_MAX,
+ DEFAULT_DIFFICULTY_MIN,
@@ -490 +492 @@ class Queue:
- if difficulty_min:
+ if difficulty_min is not None and difficulty_min > DEFAULT_DIFFICULTY_MIN:
@@ -492 +494 @@ class Queue:
- if difficulty_max:
+ if difficulty_max is not None and difficulty_max < DEFAULT_DIFFICULTY_MAX:
diff --git a/libs/libcommon/tests/test_queue.py b/libs/libcommon/tests/test_queue.py
index eaf064b3..842d6ac9 100644
--- a/libs/libcommon/tests/test_queue.py
+++ b/libs/libcommon/tests/test_queue.py
@@ -318,0 +319,2 @@ def test_job_types_only(
+ (55, 60, True),
+ (40, 45, True),
|
|
4d04e0d71d1a8959367098961fc74cdfbd606ab3
|
Sylvain Lesage
| 2023-07-05T15:35:17 |
fix: 🐛 ensure the env vars are int (#1492)
|
diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml
index ab27b0c7..ec082cf5 100644
--- a/chart/env/prod.yaml
+++ b/chart/env/prod.yaml
@@ -295,2 +295,2 @@ workers:
- workerDifficultyMax: ""
- workerDifficultyMin: ""
+ workerDifficultyMax: 100
+ workerDifficultyMin: 0
@@ -312,2 +312,2 @@ workers:
- workerDifficultyMax: ""
- workerDifficultyMin: ""
+ workerDifficultyMax: 40
+ workerDifficultyMin: 0
@@ -315 +315 @@ workers:
- workerJobTypesOnly: "config-parquet,dataset-parquet,config-info,dataset-info,config-split-names-from-info,config-size,dataset-size,dataset-split-names,dataset-is-valid,split-image-url-columns,split-opt-in-out-urls-count,config-opt-in-out-urls-count,dataset-opt-in-out-urls-count"
+ workerJobTypesOnly: ""
diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml
index 64848c3e..4aeea9d6 100644
--- a/chart/env/staging.yaml
+++ b/chart/env/staging.yaml
@@ -236,2 +236,2 @@ workers:
- workerDifficultyMax: ""
- workerDifficultyMin: ""
+ workerDifficultyMax: 100
+ workerDifficultyMin: 0
@@ -252,3 +252,3 @@ workers:
- workerDifficultyMax: ""
- workerDifficultyMin: ""
- workerJobTypesBlocked: "dataset-config-names,config-split-names-from-streaming,config-parquet-and-info,split-first-rows-from-parquet,split-first-rows-from-streaming,split-opt-in-out-urls-scan"
+ workerDifficultyMax: 40
+ workerDifficultyMin: 0
+ workerJobTypesBlocked: ""
diff --git a/chart/values.yaml b/chart/values.yaml
index e9736b2e..3be2bfc4 100644
--- a/chart/values.yaml
+++ b/chart/values.yaml
@@ -459 +459 @@ workers:
- workerDifficultyMax: ""
+ workerDifficultyMax: 100
@@ -461 +461 @@ workers:
- workerDifficultyMin: ""
+ workerDifficultyMin: 0
diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py
index a9af875b..70a339a5 100644
--- a/libs/libcommon/src/libcommon/queue.py
+++ b/libs/libcommon/src/libcommon/queue.py
@@ -159,0 +160 @@ class JobDocument(Document):
+ ("priority", "status", "created_at", "difficulty", "namespace", "type", "unicity_id"),
|
|
248207356ab3a525b404c5e802ea3105206f1e9f
|
Andrea Francis Soria Jimenez
| 2023-07-05T15:18:29 |
chore: update pypdf dependency in worker (#1481)
|
diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock
index f2363ed9..b1e40e89 100644
--- a/services/worker/poetry.lock
+++ b/services/worker/poetry.lock
@@ -1 +1 @@
-# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry and should not be changed by hand.
@@ -2926,0 +2927 @@ files = [
+ {file = "pdf2image-1.16.3.tar.gz", hash = "sha256:74208810c2cef4d9e347769b8e62a52303982ddb4f2dfd744c7ab4b940ae287e"},
@@ -3659,22 +3659,0 @@ diagrams = ["jinja2", "railroad-diagrams"]
-[[package]]
-name = "pypdf2"
-version = "3.0.1"
-description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-files = [
- {file = "PyPDF2-3.0.1.tar.gz", hash = "sha256:a74408f69ba6271f71b9352ef4ed03dc53a31aa404d29b5d31f53bfecfee1440"},
- {file = "pypdf2-3.0.1-py3-none-any.whl", hash = "sha256:d16e4205cfee272fbdc0568b68d82be796540b1537508cef59388f839c191928"},
-]
-
-[package.dependencies]
-typing_extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""}
-
-[package.extras]
-crypto = ["PyCryptodome"]
-dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "wheel"]
-docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
-full = ["Pillow", "PyCryptodome"]
-image = ["Pillow"]
-
@@ -5656 +5635 @@ python-versions = "3.9.15"
-content-hash = "3aa60ce2866418d5594a71e79a63dbd8e2bd3991c079c53bc055a7c584b3f69e"
+content-hash = "7b9fd2481fb986fca30a557319cf230f266121211c27d92ab44168121a21afc1"
diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml
index a2e6034d..582de13c 100644
--- a/services/worker/pyproject.toml
+++ b/services/worker/pyproject.toml
@@ -33 +32,0 @@ pydub = "^0.25.1"
-pypdf2 = "^3.0.1"
|
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