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severo
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dataset-viewer-code-commits

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train · 2.28k rows

hash stringlengths 40 40	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 11 116	diff stringlengths 0 987k
47b1e5c1f8e73fc1fca736a0de411a6398ba6bc2	Quentin Lhoest	[email protected]	2024-06-25T16:28:43	add missing migration for estimated_num_rows (#2950)	diff --git a/jobs/mongodb_migration/src/mongodb_migration/collector.py b/jobs/mongodb_migration/src/mongodb_migration/collector.py index 2b177f3d..64cc2c2e 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/collector.py +++ b/jobs/mongodb_migration/src/mongodb_migration/collector.py @@ -83,0 +84,3 @@ from mongodb_migration.migrations._20240619124500_cache_add_estimated_dataset_in +from mongodb_migration.migrations._20240624144000_cache_add_estimated_num_rows_field_in_size import ( + MigrationAddEstimatedNumRowsToSizeCacheResponse, +) @@ -387,0 +391,4 @@ class MigrationsCollector: + MigrationAddEstimatedNumRowsToSizeCacheResponse( + version="20240624144000", + description="add 'estimated_num_rows' field to config-size and dataset-size cache records", + ),
2245d24057a5d63496e72cb0e3156b9494700f27	Quentin Lhoest	[email protected]	2024-06-25T16:12:54	Add num_rows estimate in hub_cache (#2940)	diff --git a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20240624144000_cache_add_estimated_num_rows_field_in_size.py b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20240624144000_cache_add_estimated_num_rows_field_in_size.py new file mode 100644 index 00000000..654146b3 --- /dev/null +++ b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20240624144000_cache_add_estimated_num_rows_field_in_size.py @@ -0,0 +1,83 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2023 The HuggingFace Authors. + +import logging + +from libcommon.constants import CACHE_COLLECTION_RESPONSES, CACHE_MONGOENGINE_ALIAS +from libcommon.simple_cache import CachedResponseDocument +from mongoengine.connection import get_db + +from mongodb_migration.check import check_documents +from mongodb_migration.migration import Migration + + +# connection already occurred in the main.py (caveat: we use globals) +class MigrationAddEstimatedNumRowsToSizeCacheResponse(Migration): + def up(self) -> None: + # See https://docs.mongoengine.org/guide/migration.html#example-1-addition-of-a-field + logging.info( + "If missing, add the 'estimated_num_rows' field with the default value" + " None to the cached results of dataset-size and config-size" + ) + db = get_db(CACHE_MONGOENGINE_ALIAS) + db[CACHE_COLLECTION_RESPONSES].update_many( + { + "kind": "config-size", + "http_status": 200, + "content.size.config.estimated_num_rows": {"$exists": False}, + }, + { + "$set": { + "content.size.config.estimated_num_rows": None, + "content.size.splits.$[].estimated_num_rows": None, + } + }, + ) + db[CACHE_COLLECTION_RESPONSES].update_many( + { + "kind": "dataset-size", + "http_status": 200, + "content.size.dataset.estimated_num_rows": {"$exists": False}, + }, + { + "$set": { + "content.size.dataset.estimated_num_rows": None, + "content.size.configs.$[].estimated_num_rows": None, + "content.size.splits.$[].estimated_num_rows": None, + } + }, + ) + + def down(self) -> None: + logging.info("Remove the 'config-size' field from all the cached results") + db = get_db(CACHE_MONGOENGINE_ALIAS) + db[CACHE_COLLECTION_RESPONSES].update_many( + { + "kind": "config-size", + "http_status": 200, + }, + { + "$unset": { + "content.size.config.estimated_num_rows": "", + "content.size.splits.$[].estimated_num_rows": "", + } + }, + ) + db[CACHE_COLLECTION_RESPONSES].update_many( + { + "kind": "dataset-size", + "http_status": 200, + }, + { + "$unset": { + "content.size.dataset.estimated_num_rows": "", + "content.size.configs.$[].estimated_num_rows": "", + "content.size.splits.$[].estimated_num_rows": "", + } + }, + ) + + def validate(self) -> None: + logging.info("Ensure that a random selection of cached results have the 'estimated_num_rows' field") + + check_documents(DocCls=CachedResponseDocument, sample_size=10) diff --git a/jobs/mongodb_migration/tests/migrations/test_20240624144000_cache_add_estimated_num_rows_in_size.py b/jobs/mongodb_migration/tests/migrations/test_20240624144000_cache_add_estimated_num_rows_in_size.py new file mode 100644 index 00000000..61c25a18 --- /dev/null +++ b/jobs/mongodb_migration/tests/migrations/test_20240624144000_cache_add_estimated_num_rows_in_size.py @@ -0,0 +1,188 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. +from typing import Any + +from libcommon.constants import CACHE_COLLECTION_RESPONSES, CACHE_MONGOENGINE_ALIAS +from libcommon.resources import MongoResource +from mongoengine.connection import get_db + +from mongodb_migration.migrations._20240624144000_cache_add_estimated_num_rows_field_in_size import ( + MigrationAddEstimatedNumRowsToSizeCacheResponse, +) + + +def assert_estimated_num_rows_in_config(dataset: str, kind: str) -> None: + db = get_db(CACHE_MONGOENGINE_ALIAS) + entry = db[CACHE_COLLECTION_RESPONSES].find_one({"dataset": dataset, "kind": kind}) + assert entry is not None + assert entry["content"]["size"]["config"]["estimated_num_rows"] is None + assert all(split["estimated_num_rows"] is None for split in entry["content"]["size"]["splits"]) + + +def assert_estimated_num_rows_in_dataset(dataset: str, kind: str) -> None: + db = get_db(CACHE_MONGOENGINE_ALIAS) + entry = db[CACHE_COLLECTION_RESPONSES].find_one({"dataset": dataset, "kind": kind}) + assert entry is not None + assert entry["content"]["size"]["dataset"]["estimated_num_rows"] is None + assert all(split["estimated_num_rows"] is None for split in entry["content"]["size"]["configs"]) + assert all(split["estimated_num_rows"] is None for split in entry["content"]["size"]["splits"]) + + +def assert_unchanged_in_config(dataset: str, kind: str) -> None: + db = get_db(CACHE_MONGOENGINE_ALIAS) + entry = db[CACHE_COLLECTION_RESPONSES].find_one({"dataset": dataset, "kind": kind}) + assert entry is not None + if "size" in entry["content"]: + assert "estimated_num_rows" not in entry["content"]["size"]["config"] + assert all("estimated_num_rows" not in split for split in entry["content"]["size"]["splits"]) + + +def assert_unchanged_in_dataset(dataset: str, kind: str) -> None: + db = get_db(CACHE_MONGOENGINE_ALIAS) + entry = db[CACHE_COLLECTION_RESPONSES].find_one({"dataset": dataset, "kind": kind}) + assert entry is not None + if "size" in entry["content"]: + assert "estimated_num_rows" not in entry["content"]["size"]["dataset"] + assert all("estimated_num_rows" not in split for split in entry["content"]["size"]["configs"]) + assert all("estimated_num_rows" not in split for split in entry["content"]["size"]["splits"]) + + +def test_cache_add_partial(mongo_host: str) -> None: + with MongoResource(database="test_cache_add_tags_to_hub_cache", host=mongo_host, mongoengine_alias="cache"): + db = get_db(CACHE_MONGOENGINE_ALIAS) + cache: list[dict[str, Any]] = [ + { + "dataset": "dataset", + "config": "config", + "kind": "config-size", + "content": { + "size": { + "config": { + "dataset": "dataset", + "config": "config", + "num_bytes_original_files": 123, + "num_bytes_parquet_files": 123, + "num_bytes_memory": 123, + "num_rows": 1000, + "num_columns": 1, + }, + "splits": [ + { + "dataset": "dataset", + "config": "config", + "split": "train", + "num_bytes_original_files": 120, + "num_bytes_parquet_files": 120, + "num_bytes_memory": 120, + "num_rows": 900, + "num_columns": 1, + }, + { + "dataset": "dataset", + "config": "config", + "split": "test", + "num_bytes_original_files": 3, + "num_bytes_parquet_files": 3, + "num_bytes_memory": 3, + "num_rows": 100, + "num_columns": 1, + }, + ], + }, + "partial": False, + }, + "http_status": 200, + "job_runner_version": 1, + "progress": None, + }, + { + "dataset": "dataset", + "config": "config", + "kind": "dataset-size", + "content": { + "size": { + "dataset": { + "dataset": "dataset", + "config": "config", + "num_bytes_original_files": 123, + "num_bytes_parquet_files": 123, + "num_bytes_memory": 123, + "num_rows": 1000, + "num_columns": 1, + }, + "configs": [ + { + "dataset": "dataset", + "config": "config", + "num_bytes_original_files": 123, + "num_bytes_parquet_files": 123, + "num_bytes_memory": 123, + "num_rows": 1000, + "num_columns": 1, + } + ], + "splits": [ + { + "dataset": "dataset", + "config": "config", + "split": "train", + "num_bytes_original_files": 120, + "num_bytes_parquet_files": 120, + "num_bytes_memory": 120, + "num_rows": 900, + "num_columns": 1, + }, + { + "dataset": "dataset", + "config": "config", + "split": "test", + "num_bytes_original_files": 3, + "num_bytes_parquet_files": 3, + "num_bytes_memory": 3, + "num_rows": 100, + "num_columns": 1, + }, + ], + }, + "partial": False, + }, + "http_status": 200, + "job_runner_version": 1, + "progress": None, + }, + { + "dataset": "dataset_with_error", + "config": "config_with_error", + "kind": "config-size", + "content": {"error": "error"}, + "details": { + "error": "error", + "cause_exception": "UnexpextedError", + "cause_message": "error", + "cause_traceback": ["Traceback"], + }, + "error_code": "UnexpectedError", + "http_status": 500, + "job_runner_version": 1, + "progress": None, + }, + ] + + db[CACHE_COLLECTION_RESPONSES].insert_many(cache) + + migration = MigrationAddEstimatedNumRowsToSizeCacheResponse( + version="20240624144000", + description="add the 'estimated_num_rows' fields to size", + ) + migration.up() + + assert_estimated_num_rows_in_config("dataset", kind="config-size") + assert_estimated_num_rows_in_dataset("dataset", kind="dataset-size") + assert_unchanged_in_config("dataset_with_error", kind="config-size") + + migration.down() + assert_unchanged_in_config("dataset", kind="config-size") + assert_unchanged_in_dataset("dataset", kind="dataset-size") + assert_unchanged_in_config("dataset_with_error", kind="config-size") + + db[CACHE_COLLECTION_RESPONSES].drop() diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py index cc710865..8f819ec3 100644 --- a/services/worker/src/worker/dtos.py +++ b/services/worker/src/worker/dtos.py @@ -208,0 +209 @@ class ConfigSize(TypedDict): + estimated_num_rows: Optional[int] @@ -218,0 +220 @@ class SplitSize(TypedDict): + estimated_num_rows: Optional[int] @@ -381,0 +384 @@ class DatasetSize(TypedDict): + estimated_num_rows: Optional[int] diff --git a/services/worker/src/worker/job_runners/config/size.py b/services/worker/src/worker/job_runners/config/size.py index 09490935..e36c2d2f 100644 --- a/services/worker/src/worker/job_runners/config/size.py +++ b/services/worker/src/worker/job_runners/config/size.py @@ -43,0 +44,5 @@ def compute_config_size_response(dataset: str, config: str) -> ConfigSizeRespons + if content["estimated_dataset_info"] is not None and not isinstance(content["estimated_dataset_info"], dict): + raise PreviousStepFormatError( + "Previous step did not return the expected content.", + TypeError(f"estimated_info should be a dict, but got {type(content['dataset_info'])}"), + ) @@ -46,0 +52 @@ def compute_config_size_response(dataset: str, config: str) -> ConfigSizeRespons + config_estimated_info = content["estimated_dataset_info"] @@ -60,0 +67,7 @@ def compute_config_size_response(dataset: str, config: str) -> ConfigSizeRespons + "estimated_num_rows": config_estimated_info["splits"][split_info["name"]]["num_examples"] + if isinstance(config_estimated_info, dict) + and "splits" in config_estimated_info + and "name" in split_info + and split_info["name"] in config_estimated_info["splits"] + and "num_examples" in config_estimated_info["splits"][split_info["name"]] + else None, @@ -72,0 +86,5 @@ def compute_config_size_response(dataset: str, config: str) -> ConfigSizeRespons + "estimated_num_rows": sum( + split_size["estimated_num_rows"] or split_size["num_rows"] for split_size in split_sizes + ) + if any(split_size["estimated_num_rows"] for split_size in split_sizes) + else None, diff --git a/services/worker/src/worker/job_runners/dataset/hub_cache.py b/services/worker/src/worker/job_runners/dataset/hub_cache.py index ee5968a6..85c18ad3 100644 --- a/services/worker/src/worker/job_runners/dataset/hub_cache.py +++ b/services/worker/src/worker/job_runners/dataset/hub_cache.py @@ -74,0 +75,4 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f + or not ( + isinstance(content["size"]["dataset"]["estimated_num_rows"], int) + or content["size"]["dataset"]["estimated_num_rows"] is None + ) @@ -80 +84 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f - num_rows = content["size"]["dataset"]["num_rows"] + num_rows = content["size"]["dataset"]["estimated_num_rows"] or content["size"]["dataset"]["num_rows"] diff --git a/services/worker/src/worker/job_runners/dataset/size.py b/services/worker/src/worker/job_runners/dataset/size.py index 8375b7cd..16e7818c 100644 --- a/services/worker/src/worker/job_runners/dataset/size.py +++ b/services/worker/src/worker/job_runners/dataset/size.py @@ -107,0 +108,5 @@ def compute_sizes_response(dataset: str) -> tuple[DatasetSizeResponse, float]: + "estimated_num_rows": sum( + config_size["estimated_num_rows"] or config_size["num_rows"] for config_size in config_sizes + ) + if any(config_size["estimated_num_rows"] for config_size in config_sizes) + else None, diff --git a/services/worker/tests/job_runners/config/test_size.py b/services/worker/tests/job_runners/config/test_size.py index 538793d7..a5ce8faf 100644 --- a/services/worker/tests/job_runners/config/test_size.py +++ b/services/worker/tests/job_runners/config/test_size.py @@ -125,0 +126 @@ def get_job_runner( + "estimated_dataset_info": None, @@ -138,0 +140 @@ def get_job_runner( + "estimated_num_rows": None, @@ -148,0 +151 @@ def get_job_runner( + "estimated_num_rows": None, @@ -157,0 +161 @@ def get_job_runner( + "estimated_num_rows": None, @@ -164,0 +169,182 @@ def get_job_runner( + ( # partial generation: sue estimated_dataset_info + "dataset_ok", + "config_1", + HTTPStatus.OK, + { + "parquet_files": [ + {"dataset": "dataset_ok", "config": "config_1", "split": "train", "size": 1428118}, + {"dataset": "dataset_ok", "config": "config_1", "split": "test", "size": 238390}, + ], + "dataset_info": { + "features": { + "image": {"_type": "Image"}, + "label": { + "names": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], + "_type": "ClassLabel", + }, + }, + "splits": { + "train": { + "name": "train", + "num_bytes": 1747080, + "num_examples": 6000, + "dataset_name": "dataset_ok", + }, + "test": { + "name": "test", + "num_bytes": 291643, + "num_examples": 1000, + "dataset_name": "dataset_ok", + }, + }, + "download_size": 1159472, + "dataset_size": 2038723, + "size_in_bytes": 3198195, + }, + "estimated_dataset_info": { + "splits": { + "train": { + "name": "train", + "num_bytes": 17470800, + "num_examples": 60000, + "dataset_name": "dataset_ok", + }, + "test": { + "name": "test", + "num_bytes": 2916432, + "num_examples": 10000, + "dataset_name": "dataset_ok", + }, + }, + "dataset_size": 20387232, + }, + "partial": True, + }, + None, + { + "size": { + "config": { + "dataset": "dataset_ok", + "config": "config_1", + "num_bytes_original_files": 1159472, + "num_bytes_parquet_files": 1666508, + "num_bytes_memory": 2038723, + "num_rows": 7000, + "num_columns": 2, + "estimated_num_rows": 70000, + }, + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "train", + "num_bytes_parquet_files": 1428118, + "num_bytes_memory": 1747080, + "num_rows": 6000, + "num_columns": 2, + "estimated_num_rows": 60000, + }, + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "test", + "num_bytes_parquet_files": 238390, + "num_bytes_memory": 291643, + "num_rows": 1000, + "num_columns": 2, + "estimated_num_rows": 10000, + }, + ], + }, + "partial": True, + }, + False, + ), + ( # only train is partial: use mix of estimated_dataset_info and dataset_info + "dataset_ok", + "config_1", + HTTPStatus.OK, + { + "parquet_files": [ + {"dataset": "dataset_ok", "config": "config_1", "split": "train", "size": 1428118}, + {"dataset": "dataset_ok", "config": "config_1", "split": "test", "size": 2383903}, + ], + "dataset_info": { + "features": { + "image": {"_type": "Image"}, + "label": { + "names": ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"], + "_type": "ClassLabel", + }, + }, + "splits": { + "train": { + "name": "train", + "num_bytes": 1747080, + "num_examples": 6000, + "dataset_name": "dataset_ok", + }, + "test": { + "name": "test", + "num_bytes": 2916432, + "num_examples": 10000, + "dataset_name": "dataset_ok", + }, + }, + "download_size": 1159472, + "dataset_size": 2038723, + "size_in_bytes": 3198195, + }, + "estimated_dataset_info": { + "splits": { + "train": { + "name": "train", + "num_bytes": 17470800, + "num_examples": 60000, + "dataset_name": "dataset_ok", + }, + }, + "dataset_size": 20387232, + }, + "partial": True, + }, + None, + { + "size": { + "config": { + "dataset": "dataset_ok", + "config": "config_1", + "num_bytes_original_files": 1159472, + "num_bytes_parquet_files": 3812021, + "num_bytes_memory": 4663512, + "num_rows": 16000, + "num_columns": 2, + "estimated_num_rows": 70000, + }, + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "train", + "num_bytes_parquet_files": 1428118, + "num_bytes_memory": 1747080, + "num_rows": 6000, + "num_columns": 2, + "estimated_num_rows": 60000, + }, + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "test", + "num_bytes_parquet_files": 2383903, + "num_bytes_memory": 2916432, + "num_rows": 10000, + "num_columns": 2, + "estimated_num_rows": None, + }, + ], + }, + "partial": True, + }, + False, + ), diff --git a/services/worker/tests/job_runners/dataset/test_hub_cache.py b/services/worker/tests/job_runners/dataset/test_hub_cache.py index 6eb57cb3..19ccfae1 100644 --- a/services/worker/tests/job_runners/dataset/test_hub_cache.py +++ b/services/worker/tests/job_runners/dataset/test_hub_cache.py @@ -54 +54 @@ UPSTREAM_RESPONSE_SIZE_OK: UpstreamResponse = UpstreamResponse( - content={"size": {"dataset": {"num_rows": 1000}}, "partial": False}, + content={"size": {"dataset": {"num_rows": 1000, "estimated_num_rows": None}}, "partial": False}, @@ -70 +70 @@ UPSTREAM_RESPONSE_SIZE_NO_PROGRESS: UpstreamResponse = UpstreamResponse( - content={"size": {"dataset": {"num_rows": 1000}}, "partial": True}, + content={"size": {"dataset": {"num_rows": 1000, "estimated_num_rows": None}}, "partial": True}, diff --git a/services/worker/tests/job_runners/dataset/test_size.py b/services/worker/tests/job_runners/dataset/test_size.py index 9aa15445..698b11f2 100644 --- a/services/worker/tests/job_runners/dataset/test_size.py +++ b/services/worker/tests/job_runners/dataset/test_size.py @@ -95,0 +96 @@ def get_job_runner( + "estimated_num_rows": None, @@ -105,0 +107 @@ def get_job_runner( + "estimated_num_rows": None, @@ -114,0 +117 @@ def get_job_runner( + "estimated_num_rows": None, @@ -136,0 +140 @@ def get_job_runner( + "estimated_num_rows": None, @@ -146,0 +151 @@ def get_job_runner( + "estimated_num_rows": None, @@ -155,0 +161 @@ def get_job_runner( + "estimated_num_rows": None, @@ -171,0 +178 @@ def get_job_runner( + "estimated_num_rows": None, @@ -181,0 +189 @@ def get_job_runner( + "estimated_num_rows": None, @@ -190,0 +199 @@ def get_job_runner( + "estimated_num_rows": None, @@ -201,0 +211 @@ def get_job_runner( + "estimated_num_rows": None, @@ -210,0 +221 @@ def get_job_runner( + "estimated_num_rows": None, @@ -219,0 +231 @@ def get_job_runner( + "estimated_num_rows": None, @@ -228,0 +241 @@ def get_job_runner( + "estimated_num_rows": None, @@ -237,0 +251,374 @@ def get_job_runner( + ( # partial: use estimated_num_rows + "dataset_ok", + [ + UpstreamResponse( + kind="dataset-config-names", + dataset="dataset_ok", + dataset_git_revision=REVISION_NAME, + config=None, + http_status=HTTPStatus.OK, + content={ + "config_names": [ + {"dataset": "dataset_ok", "config": "config_1"}, + {"dataset": "dataset_ok", "config": "config_2"}, + ], + }, + ), + UpstreamResponse( + kind="config-size", + dataset="dataset_ok", + dataset_git_revision=REVISION_NAME, + config="config_1", + http_status=HTTPStatus.OK, + content={ + "size": { + "config": { + "dataset": "dataset_ok", + "config": "config_1", + "num_bytes_original_files": 1159472, + "num_bytes_parquet_files": 1666509, + "num_bytes_memory": 2038723, + "num_rows": 7000, + "num_columns": 2, + "estimated_num_rows": 70000, + }, + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "train", + "num_bytes_parquet_files": 1428118, + "num_bytes_memory": 1747080, + "num_rows": 6000, + "num_columns": 2, + "estimated_num_rows": 60000, + }, + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "test", + "num_bytes_parquet_files": 238390, + "num_bytes_memory": 291643, + "num_rows": 1000, + "num_columns": 2, + "estimated_num_rows": 10000, + }, + ], + }, + "partial": True, + }, + ), + UpstreamResponse( + kind="config-size", + dataset="dataset_ok", + dataset_git_revision=REVISION_NAME, + config="config_2", + http_status=HTTPStatus.OK, + content={ + "size": { + "config": { + "dataset": "dataset_ok", + "config": "config_2", + "num_bytes_original_files": 9912422, + "num_bytes_parquet_files": 2391926, + "num_bytes_memory": 6912, + "num_rows": 4000, + "num_columns": 3, + "estimated_num_rows": None, + }, + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "train", + "num_bytes_parquet_files": 8023, + "num_bytes_memory": 5678, + "num_rows": 3000, + "num_columns": 3, + "estimated_num_rows": None, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "test", + "num_bytes_parquet_files": 2383903, + "num_bytes_memory": 1234, + "num_rows": 1000, + "num_columns": 3, + "estimated_num_rows": None, + }, + ], + }, + "partial": False, + }, + ), + ], + None, + { + "size": { + "dataset": { + "dataset": "dataset_ok", + "num_bytes_original_files": 11071894, + "num_bytes_parquet_files": 4058435, + "num_bytes_memory": 2045635, + "num_rows": 11000, + "estimated_num_rows": 74000, + }, + "configs": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "num_bytes_original_files": 1159472, + "num_bytes_parquet_files": 1666509, + "num_bytes_memory": 2038723, + "num_rows": 7000, + "num_columns": 2, + "estimated_num_rows": 70000, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "num_bytes_original_files": 9912422, + "num_bytes_parquet_files": 2391926, + "num_bytes_memory": 6912, + "num_rows": 4000, + "num_columns": 3, + "estimated_num_rows": None, + }, + ], + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "train", + "num_bytes_parquet_files": 1428118, + "num_bytes_memory": 1747080, + "num_rows": 6000, + "num_columns": 2, + "estimated_num_rows": 60000, + }, + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "test", + "num_bytes_parquet_files": 238390, + "num_bytes_memory": 291643, + "num_rows": 1000, + "num_columns": 2, + "estimated_num_rows": 10000, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "train", + "num_bytes_parquet_files": 8023, + "num_bytes_memory": 5678, + "num_rows": 3000, + "num_columns": 3, + "estimated_num_rows": None, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "test", + "num_bytes_parquet_files": 2383903, + "num_bytes_memory": 1234, + "num_rows": 1000, + "num_columns": 3, + "estimated_num_rows": None, + }, + ], + }, + "failed": [], + "pending": [], + "partial": True, + }, + False, + ), + ( # mix of partial and exact: use estimated_num_rows and num_rows + "dataset_ok", + [ + UpstreamResponse( + kind="dataset-config-names", + dataset="dataset_ok", + dataset_git_revision=REVISION_NAME, + config=None, + http_status=HTTPStatus.OK, + content={ + "config_names": [ + {"dataset": "dataset_ok", "config": "config_1"}, + {"dataset": "dataset_ok", "config": "config_2"}, + ], + }, + ), + UpstreamResponse( + kind="config-size", + dataset="dataset_ok", + dataset_git_revision=REVISION_NAME, + config="config_1", + http_status=HTTPStatus.OK, + content={ + "size": { + "config": { + "dataset": "dataset_ok", + "config": "config_1", + "num_bytes_original_files": 1159472, + "num_bytes_parquet_files": 1666509, + "num_bytes_memory": 2038723, + "num_rows": 7000, + "num_columns": 2, + "estimated_num_rows": 70000, + }, + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "train", + "num_bytes_parquet_files": 1428118, + "num_bytes_memory": 1747080, + "num_rows": 6000, + "num_columns": 2, + "estimated_num_rows": 60000, + }, + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "test", + "num_bytes_parquet_files": 238390, + "num_bytes_memory": 291643, + "num_rows": 1000, + "num_columns": 2, + "estimated_num_rows": 10000, + }, + ], + }, + "partial": True, + }, + ), + UpstreamResponse( + kind="config-size", + dataset="dataset_ok", + dataset_git_revision=REVISION_NAME, + config="config_2", + http_status=HTTPStatus.OK, + content={ + "size": { + "config": { + "dataset": "dataset_ok", + "config": "config_2", + "num_bytes_original_files": 991242, + "num_bytes_parquet_files": 239192, + "num_bytes_memory": 691, + "num_rows": 400, + "num_columns": 3, + "estimated_num_rows": 4000, + }, + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "train", + "num_bytes_parquet_files": 802, + "num_bytes_memory": 567, + "num_rows": 300, + "num_columns": 3, + "estimated_num_rows": 3000, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "test", + "num_bytes_parquet_files": 238390, + "num_bytes_memory": 123, + "num_rows": 100, + "num_columns": 3, + "estimated_num_rows": 1000, + }, + ], + }, + "partial": True, + }, + ), + ], + None, + { + "size": { + "dataset": { + "dataset": "dataset_ok", + "num_bytes_original_files": 2150714, + "num_bytes_parquet_files": 1905701, + "num_bytes_memory": 2039414, + "num_rows": 7400, + "estimated_num_rows": 74000, + }, + "configs": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "num_bytes_original_files": 1159472, + "num_bytes_parquet_files": 1666509, + "num_bytes_memory": 2038723, + "num_rows": 7000, + "num_columns": 2, + "estimated_num_rows": 70000, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "num_bytes_original_files": 991242, + "num_bytes_parquet_files": 239192, + "num_bytes_memory": 691, + "num_rows": 400, + "num_columns": 3, + "estimated_num_rows": 4000, + }, + ], + "splits": [ + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "train", + "num_bytes_parquet_files": 1428118, + "num_bytes_memory": 1747080, + "num_rows": 6000, + "num_columns": 2, + "estimated_num_rows": 60000, + }, + { + "dataset": "dataset_ok", + "config": "config_1", + "split": "test", + "num_bytes_parquet_files": 238390, + "num_bytes_memory": 291643, + "num_rows": 1000, + "num_columns": 2, + "estimated_num_rows": 10000, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "train", + "num_bytes_parquet_files": 802, + "num_bytes_memory": 567, + "num_rows": 300, + "num_columns": 3, + "estimated_num_rows": 3000, + }, + { + "dataset": "dataset_ok", + "config": "config_2", + "split": "test", + "num_bytes_parquet_files": 238390, + "num_bytes_memory": 123, + "num_rows": 100, + "num_columns": 3, + "estimated_num_rows": 1000, + }, + ], + }, + "failed": [], + "pending": [], + "partial": True, + }, + False, + ),
0de3ad70e970318f75fb0d53e46c841aa483caca	Albert Villanova del Moral	[email protected]	2024-06-25T11:50:48	Update urllib3 to 1.26.19 and 2.2.2 to fix vulnerability (#2936)	diff --git a/docs/poetry.lock b/docs/poetry.lock index 0ba5e184..f7a8afb4 100644 --- a/docs/poetry.lock +++ b/docs/poetry.lock @@ -674 +674 @@ name = "urllib3" -version = "2.0.7" +version = "2.2.2" @@ -677 +677 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -679,2 +679,2 @@ files = [ - {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"}, - {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"}, + {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"}, + {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"}, @@ -685 +685 @@ brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] -secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"] +h2 = ["h2 (>=4,<5)"] diff --git a/e2e/poetry.lock b/e2e/poetry.lock index 294e30f5..017277be 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -1297 +1297 @@ name = "urllib3" -version = "2.0.7" +version = "2.2.2" @@ -1300 +1300 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -1302,2 +1302,2 @@ files = [ - {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"}, - {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"}, + {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"}, + {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"}, @@ -1308 +1308 @@ brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] -secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"] +h2 = ["h2 (>=4,<5)"] diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index d4c70203..366c4db6 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -3258 +3258 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3261 +3261 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3263,2 +3263,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock index 0dfe529b..ab5c01dc 100644 --- a/jobs/cache_maintenance/poetry.lock +++ b/jobs/cache_maintenance/poetry.lock @@ -3025 +3025 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3028 +3028 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3030,2 +3030,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock index 17a2ebb5..da06f0ed 100644 --- a/jobs/mongodb_migration/poetry.lock +++ b/jobs/mongodb_migration/poetry.lock @@ -3000 +3000 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3003 +3003 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3005,2 +3005,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock index e894d9bf..2b8509a6 100644 --- a/libs/libapi/poetry.lock +++ b/libs/libapi/poetry.lock @@ -3116 +3116 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3119 +3119 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3121,2 +3121,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/libs/libcommon/poetry.lock b/libs/libcommon/poetry.lock index ad0d615f..c32621cf 100644 --- a/libs/libcommon/poetry.lock +++ b/libs/libcommon/poetry.lock @@ -3608 +3608 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3611 +3611 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3613,2 +3613,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 7d469178..68b4eb71 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -3165 +3165 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3168 +3168 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3170,2 +3170,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 6f8f9a4b..8d716003 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -3213 +3213 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3216 +3216 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3218,2 +3218,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/services/rows/poetry.lock b/services/rows/poetry.lock index 34cee6fb..979ecab3 100644 --- a/services/rows/poetry.lock +++ b/services/rows/poetry.lock @@ -3318 +3318 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3321 +3321 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3323,2 +3323,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/services/search/poetry.lock b/services/search/poetry.lock index c981399f..9f0f7c7f 100644 --- a/services/search/poetry.lock +++ b/services/search/poetry.lock @@ -3370 +3370 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3373 +3373 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3375,2 +3375,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/services/sse-api/poetry.lock b/services/sse-api/poetry.lock index 96001d2b..1ce3f0ad 100644 --- a/services/sse-api/poetry.lock +++ b/services/sse-api/poetry.lock @@ -3316 +3316 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -3319 +3319 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -3321,2 +3321,2 @@ files = [ - 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{file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 1b427f10..2b981095 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -5101 +5101 @@ name = "urllib3" -version = "1.26.18" +version = "1.26.19" @@ -5104 +5104 @@ optional = false -python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4., !=3.5." +python-versions = "!=3.0.,!=3.1.,!=3.2.,!=3.3.,!=3.4.,!=3.5.,>=2.7" @@ -5106,2 +5106,2 @@ files = [ - {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"}, - {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"}, + {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, + {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"},
cb1598c8f026b6aa5d955ad0f7e8ecacc247b568	Sylvain Lesage	[email protected]	2024-06-24T22:11:12	update indexes (#2947)	diff --git a/libs/libcommon/src/libcommon/queue/jobs.py b/libs/libcommon/src/libcommon/queue/jobs.py index f2ffc15a..d882295d 100644 --- a/libs/libcommon/src/libcommon/queue/jobs.py +++ b/libs/libcommon/src/libcommon/queue/jobs.py @@ -166,2 +166,2 @@ class JobDocument(Document): - ("priority", "status", "created_at", "namespace", "difficulty", "unicity_id"), - ("priority", "status", "created_at", "difficulty", "namespace"), + ("priority", "status", "created_at", "namespace", "difficulty", "dataset", "unicity_id"), + ("priority", "status", "created_at", "difficulty", "dataset", "namespace"),
09155e2298e5069705b16f1b0ae2672d25ace16d	Ray Bell	[email protected]	2024-06-24T18:30:42	add cudf to toctree (#2946)	diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml index 9b59c618..3c9112e5 100644 --- a/docs/source/_toctree.yml +++ b/docs/source/_toctree.yml @@ -38,0 +39,2 @@ + - local: cudf + title: cuDF
c2f1467f274300d1092c13564a3327529ed3fe64	Ray Bell	[email protected]	2024-06-24T15:45:57	add cudf example (#2941)	diff --git a/docs/source/cudf.md b/docs/source/cudf.md new file mode 100644 index 00000000..578b992a --- /dev/null +++ b/docs/source/cudf.md @@ -0,0 +1,30 @@ +# cuDF + +[cuDF](https://docs.rapids.ai/api/cudf/stable/) is a Python GPU DataFrame library. + +To read from a single Parquet file, use the [`read_parquet`](https://docs.rapids.ai/api/cudf/stable/user_guide/api_docs/api/cudf.read_parquet/) function to read it into a DataFrame: + +```py +import cudf + +df = ( + cudf.read_parquet("https://huggingface.co/datasets/blog_authorship_corpus/resolve/refs%2Fconvert%2Fparquet/blog_authorship_corpus/train/0000.parquet") + .groupby('horoscope')['text'] + .apply(lambda x: x.str.len().mean()) + .sort_values(ascending=False) + .head(5) +) +``` + +To read multiple Parquet files - for example, if the dataset is sharded - you'll need to use [`dask-cudf`](https://docs.rapids.ai/api/dask-cudf/stable/): + +```py +import dask +import dask.dataframe as dd + +dask.config.set({"dataframe.backend": "cudf"}) + +df = ( + dd.read_parquet("https://huggingface.co/datasets/blog_authorship_corpus/resolve/refs%2Fconvert%2Fparquet/blog_authorship_corpus/train/*.parquet") +) +``` \ No newline at end of file diff --git a/docs/source/parquet_process.md b/docs/source/parquet_process.md index f268a9dd..78683d9e 100644 --- a/docs/source/parquet_process.md +++ b/docs/source/parquet_process.md @@ -9,0 +10 @@ There are several different libraries you can use to work with the published Par +- [cuDF](https://docs.rapids.ai/api/cudf/stable/), a Python GPU DataFrame library
d222d526790eab486f13dcb15235ae8523c37f25	Andrea Francis Soria Jimenez	[email protected]	2024-06-24T14:38:03	Remove old get_df code (#2944)	diff --git a/libs/libcommon/src/libcommon/queue/jobs.py b/libs/libcommon/src/libcommon/queue/jobs.py index b1a1b7d3..f2ffc15a 100644 --- a/libs/libcommon/src/libcommon/queue/jobs.py +++ b/libs/libcommon/src/libcommon/queue/jobs.py @@ -822,6 +821,0 @@ class Queue: - def get_pending_jobs_df_old(self, dataset: str, job_types: Optional[list[str]] = None) -> pd.DataFrame: - filters = {} - if job_types: - filters["type__in"] = job_types - return self._get_df([job.flat_info() for job in JobDocument.objects(filters, dataset=dataset)]) - diff --git a/libs/libcommon/src/libcommon/simple_cache.py b/libs/libcommon/src/libcommon/simple_cache.py index b153b81b..af5b856c 100644 --- a/libs/libcommon/src/libcommon/simple_cache.py +++ b/libs/libcommon/src/libcommon/simple_cache.py @@ -871,36 +870,0 @@ def get_cache_entries_df(dataset: str, cache_kinds: Optional[list[str]] = None) -def get_cache_entries_df_old(dataset: str, cache_kinds: Optional[list[str]] = None) -> pd.DataFrame: - filters = {} - if cache_kinds: - filters["kind__in"] = cache_kinds - return _get_df( - [ - { - "kind": response.kind, - "dataset": response.dataset, - "config": response.config, - "split": response.split, - "http_status": response.http_status, - "error_code": response.error_code, - "dataset_git_revision": response.dataset_git_revision, - "job_runner_version": response.job_runner_version, - "progress": response.progress, - "updated_at": response.updated_at, - "failed_runs": response.failed_runs, - } - for response in CachedResponseDocument.objects(dataset=dataset, filters).only( - "kind", - "dataset", - "config", - "split", - "http_status", - "error_code", - "job_runner_version", - "dataset_git_revision", - "progress", - "updated_at", - "failed_runs", - ) - ] - ) - - diff --git a/libs/libcommon/tests/test_orchestrator.py b/libs/libcommon/tests/test_orchestrator.py index 4453fbe1..e35e6760 100644 --- a/libs/libcommon/tests/test_orchestrator.py +++ b/libs/libcommon/tests/test_orchestrator.py @@ -272,7 +271,0 @@ def test_get_pending_jobs_df() -> None: [email protected]_memory("1.6 MB") # Will fail, it uses ~1.6 MB -def test_get_pending_jobs_df_old() -> None: - populate_queue() - pending_jobs_df = Queue().get_pending_jobs_df_old(dataset=DATASET_NAME) - assert pending_jobs_df.shape == (250, 9) - - diff --git a/libs/libcommon/tests/test_state.py b/libs/libcommon/tests/test_state.py index 43a49ec8..290a7fe3 100644 --- a/libs/libcommon/tests/test_state.py +++ b/libs/libcommon/tests/test_state.py @@ -14 +13,0 @@ from libcommon.simple_cache import ( - get_cache_entries_df_old, @@ -80,7 +78,0 @@ def test_get_cache_entries_df() -> None: [email protected]_memory("2 MB") # Will fail, it uses ~2.8 MB -def test_get_cache_entries_df_old() -> None: - cache_kinds, expected_entries = populate_cache() - entries = get_cache_entries_df_old(dataset=DATASET_NAME, cache_kinds=cache_kinds) - assert entries.shape[0] == expected_entries - -
2e3b2d757a4a11503fb41b624ca98cbda155b8b2	Sylvain Lesage	[email protected]	2024-06-24T10:46:12	Increase blockage duration (#2942)	diff --git a/jobs/mongodb_migration/src/mongodb_migration/collector.py b/jobs/mongodb_migration/src/mongodb_migration/collector.py index 432c9a11..2b177f3d 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/collector.py +++ b/jobs/mongodb_migration/src/mongodb_migration/collector.py @@ -4 +4,7 @@ -from libcommon.constants import CACHE_METRICS_COLLECTION, TYPE_AND_STATUS_JOB_COUNTS_COLLECTION +from libcommon.constants import ( + CACHE_METRICS_COLLECTION, + QUEUE_COLLECTION_DATASET_BLOCKAGES, + QUEUE_COLLECTION_PAST_JOBS, + QUEUE_MONGOENGINE_ALIAS, + TYPE_AND_STATUS_JOB_COUNTS_COLLECTION, +) @@ -8,0 +15 @@ from mongodb_migration.deletion_migrations import ( + MigrationDeleteIndex, @@ -366,0 +374,14 @@ class MigrationsCollector: + MigrationDeleteIndex( + version="20240624120300", + description="delete the TTL index in the pastJobs collection", + database=QUEUE_MONGOENGINE_ALIAS, + collection=QUEUE_COLLECTION_PAST_JOBS, + index_name="PAST_JOB_EXPIRE_AFTER_SECONDS", + ), + MigrationDeleteIndex( + version="20240624120301", + description="delete the TTL index in the blockedDatasets collection", + database=QUEUE_MONGOENGINE_ALIAS, + collection=QUEUE_COLLECTION_DATASET_BLOCKAGES, + index_name="DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS", + ), diff --git a/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py b/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py index fa306bd0..bbb25c4f 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py +++ b/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py @@ -129,0 +130,26 @@ class MigrationQueueDeleteTTLIndex(BaseQueueMigration): +class MigrationDeleteIndex(Migration): + def __init__(self, version: str, description: str, database: str, collection: str, index_name: str): + super().__init__(version=version, description=description) + self.database = database + self.collection = collection + self.index_name = index_name + + def up(self) -> None: + logging.info(f"Delete ttl index {self.index_name}.") + + db = get_db(self.database) + collection = db[self.collection] + collection.drop_index(self.index_name) + + def down(self) -> None: + raise IrreversibleMigrationError("This migration does not support rollback") + + def validate(self) -> None: + logging.info("Check that the index does not exists anymore") + + db = get_db(self.database) + collection = db[self.collection] + if self.index_name in collection.index_information(): + raise ValueError(f"Index still exists: {self.index_name}") + + diff --git a/libs/libcommon/src/libcommon/queue/dataset_blockages.py b/libs/libcommon/src/libcommon/queue/dataset_blockages.py index 604ac6db..20643114 100644 --- a/libs/libcommon/src/libcommon/queue/dataset_blockages.py +++ b/libs/libcommon/src/libcommon/queue/dataset_blockages.py @@ -36,2 +36,4 @@ class QuerySetManager(Generic[U]): -# delete the dataset blockage (ie. potentially unblock it) after 1 hour -DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS = 1 * 60 * 60 +# delete the dataset blockage (ie. potentially unblock it) after 6 hours +DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS = ( + 6 * 60 * 60 +) # if we change this value, we have to ensure the TTL index is migrated accordingly @@ -55 +57 @@ class DatasetBlockageDocument(Document): - "name": "DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS", + "name": "DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS_BLUE", # alternate BLUE/GREEN diff --git a/libs/libcommon/src/libcommon/queue/past_jobs.py b/libs/libcommon/src/libcommon/queue/past_jobs.py index f0b1177c..dd4effed 100644 --- a/libs/libcommon/src/libcommon/queue/past_jobs.py +++ b/libs/libcommon/src/libcommon/queue/past_jobs.py @@ -39,2 +39,4 @@ MAX_MACHINES = 2 -# we look at the last 6 hours to decide to rate-limit a dataset -RATE_LIMIT_WINDOW_SECONDS = 6 * 60 * 60 +# we look at the last 1 hour to decide to rate-limit a dataset +RATE_LIMIT_WINDOW_SECONDS = ( + 1 * 60 * 60 +) # if we change this value, we have to ensure the TTL index is migrated accordingly @@ -44 +46 @@ DATASET_BLOCKAGE_THRESHOLD_SECONDS = MAX_MACHINES * RATE_LIMIT_WINDOW_SECONDS -JOB_DURATION_CHECK_MIN_SECONDS = 5 * 60 +JOB_DURATION_CHECK_MIN_SECONDS = 30 @@ -63 +65 @@ class PastJobDocument(Document): - "name": "PAST_JOB_EXPIRE_AFTER_SECONDS", + "name": "PAST_JOB_EXPIRE_AFTER_SECONDS_BLUE", # alternate BLUE/GREEN
47ca20ac1c5aa37aedc9b243972530e870421798	Quentin Lhoest	[email protected]	2024-06-21T15:08:17	fix flaky test gen_kwargs (#2939)	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 fdcb003c..e7789707 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 @@ -829 +829 @@ def test_get_urlpaths_in_gen_kwargs( - assert get_urlpaths_in_gen_kwargs(gen_kwargs) == expected + assert sorted(get_urlpaths_in_gen_kwargs(gen_kwargs)) == sorted(expected)
73d04c145b3786c4be8722d150fb3e4a4b50ee5f	Quentin Lhoest	[email protected]	2024-06-21T13:25:22	Enable estimate info (size) on all datasets (#2937)	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 5f223d73..00ce6ec7 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 @@ -10 +9,0 @@ from contextlib import ExitStack -from fnmatch import fnmatch @@ -949,2 +947,0 @@ class track_reads: - allow_list = ["hf://datasets/allenai/c4", "hf://datasets/datasets-maintainers/"] - @@ -1000 +997 @@ class track_reads: - if "w" not in mode and any(fnmatch(urlpath, pattern) for pattern in tracker.allow_list): + if "w" not in mode: 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 271db6bb..fdcb003c 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 @@ -150,7 +149,0 @@ def assert_content_is_equal(content: Any, expected: Any) -> None: [email protected](autouse=True) -def always_enable_track_reads() -> Iterator[None]: - # TODO: remove once track_reads is enabled on all datasets - with patch.object(track_reads, "allow_list", ["*"]): - yield - -
b120466969d93541cdc3f58d17e6fe2859e7ada0	Quentin Lhoest	[email protected]	2024-06-21T13:13:04	Fix estimate info for zip datasets (#2932)	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 857f907e..5f223d73 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 @@ -44 +44 @@ from datasets.utils.py_utils import asdict, map_nested -from fsspec.core import url_to_fs +from fsspec.core import filesystem, url_to_fs @@ -46,0 +47 @@ from fsspec.implementations.local import LocalFileOpener, LocalFileSystem +from fsspec.implementations.zip import ZipFileSystem @@ -880,0 +882 @@ def get_urlpaths_in_gen_kwargs(gen_kwargs: dict[str, Any]) -> list[str]: + # Standard list of shards [data0.json, data1.json, ...] @@ -882,0 +885,2 @@ def get_urlpaths_in_gen_kwargs(gen_kwargs: dict[str, Any]) -> list[str]: + # Each item can also be an iterator + # (typically used in builders that support iterating on extracted zip files) @@ -884,0 +889,9 @@ def get_urlpaths_in_gen_kwargs(gen_kwargs: dict[str, Any]) -> list[str]: + # ImageFolder / AudioFolder list of shards + # Each item is a tuple like (optional original file, downloaded file) + elif shard and isinstance(shard, tuple): + if isinstance(shard[-1], FilesIterable): + urlpaths.update(item.split("::")[-1] for item in shard[-1]) + elif shard[-1] and isinstance(shard[-1][0], str): + urlpaths.update(item.split("::")[-1] for item in shard[-1]) + # WebDataset list of shards + # (it iterates on TAR archives) @@ -953,0 +967,15 @@ class track_reads: + def track_metadata_read_once(self, instance: Any, func: Callable[..., T], kwargs: Any) -> T: + urlpath = kwargs.pop("fo", "") + target_protocol = kwargs["target_protocol"] + urlpath = filesystem(target_protocol).unstrip_protocol(urlpath) + previous_read = 0 + if urlpath in self.files: + previous_read = self.files[urlpath]["read"] + out = func(instance, fo=urlpath, kwargs) + if urlpath in self.files: + if "metadata_read" in self.files[urlpath]: + self.files[urlpath]["read"] = previous_read + else: + self.files[urlpath]["metadata_read"] = self.files[urlpath]["read"] - previous_read + return out + @@ -981 +1009,2 @@ class track_reads: - tracker.files[urlpath] = {"read": 0, "size": int(f.size)} + if urlpath not in tracker.files: + tracker.files[urlpath] = {"read": 0, "size": int(f.size)} @@ -997,0 +1027,4 @@ class track_reads: + # zip central directories are read over and over again, let's track it only once + zip_init = ZipFileSystem.__init__ + mock_zip_init = self.exit_stack.enter_context(patch.object(ZipFileSystem, "__init__", autospec=True)) + mock_zip_init.side_effect = functools.partial(self.track_metadata_read_once, func=zip_init) @@ -1111,0 +1145,2 @@ def stream_convert_to_parquet( + if limiter.total_bytes >= max_dataset_size_bytes and not urlpaths: + logging.info(f"Unable to estimate {split} info (empty urlpaths list from gen_kwargs)") @@ -1116,0 +1152 @@ def stream_convert_to_parquet( + logging.info(f"Estimating {split} info from tracked reads ({shards_total_read} bytes)") @@ -1130,0 +1167,2 @@ def stream_convert_to_parquet( + else: + logging.info(f"Unable to estimate {split} info (empty tracked reads)") diff --git a/services/worker/tests/fixtures/files.py b/services/worker/tests/fixtures/files.py index e85d77c4..4ebe77f6 100644 --- a/services/worker/tests/fixtures/files.py +++ b/services/worker/tests/fixtures/files.py @@ -87,0 +88,10 @@ def zip_file(tmp_path_factory: pytest.TempPathFactory, text_file: str) -> str: [email protected](scope="session") +def tar_file(tmp_path_factory: pytest.TempPathFactory, text_file: str) -> str: + import tarfile + + path = str(tmp_path_factory.mktemp("data") / "file.txt.tar") + with tarfile.TarFile(path, "w") as f: + f.add(text_file, arcname=os.path.basename(text_file)) + return path + + 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 c9b6cbb8..271db6bb 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 @@ -24 +24 @@ import requests -from datasets import Audio, Features, Image, Value, load_dataset, load_dataset_builder +from datasets import Audio, Features, Image, StreamingDownloadManager, Value, load_dataset, load_dataset_builder @@ -51,0 +52 @@ from worker.job_runners.config.parquet_and_info import ( + get_urlpaths_in_gen_kwargs, @@ -69,0 +71 @@ GetJobRunner = Callable[[str, str, AppConfig], ConfigParquetAndInfoJobRunner] +streaming_dl_manager = StreamingDownloadManager() @@ -784,0 +787,52 @@ def test_stream_convert_to_parquet_generatorbasedbuilder( [email protected]( + "gen_kwargs,expected", + [ + ( + { + "files": [ + streaming_dl_manager.iter_files("tmp://data"), + streaming_dl_manager.iter_files("zip://::tmp://data.zip"), + ] + }, + ["tmp://data", "tmp://data.zip"], + ), # arrow, csv, json, parquet, text builders + ( + { + "metadata_files": {"tmp://metadata"}, + "split_name": "train", + "add_metadata": True, + "add_labels": False, + "files": [ + ("tmp://data", streaming_dl_manager.iter_files("tmp://data")), + (None, streaming_dl_manager.iter_files("zip://::tmp://data.zip")), + ], + }, + ["tmp://data", "tmp://data.zip"], + ), # audiofolder, imagefolder builders + ( + { + "tar_paths": [ + "tmp://data.tar", + ], + "tar_iterators": [ + streaming_dl_manager.iter_archive("tmp://data.tar"), + ], + }, + ["tmp://data.tar"], + ), # arrow, csv, json, parquet, text builders + ], +) +def test_get_urlpaths_in_gen_kwargs( + gen_kwargs: dict[str, Any], + expected: list[str], + tmpfs: fsspec.AbstractFileSystem, + csv_path: str, + zip_file: str, + tar_file: str, +) -> None: + tmpfs.put(csv_path, "data") + tmpfs.put(zip_file, "data.zip") + tmpfs.put(tar_file, "data.tar") + assert get_urlpaths_in_gen_kwargs(gen_kwargs) == expected + + @@ -786 +839,0 @@ def test_stream_convert_to_parquet_estimate_info(tmp_path: Path, csv_path: str) - num_rows = 100 @@ -791 +844 @@ def test_stream_convert_to_parquet_estimate_info(tmp_path: Path, csv_path: str) - with fsspec.open(text_file, "r").open() as f: # we track fsspec reads to estimate + with fsspec.open(text_file, "r") as f: # we track fsspec reads to estimate @@ -795 +848 @@ def test_stream_convert_to_parquet_estimate_info(tmp_path: Path, csv_path: str) - gen_kwargs = {"text_files": [csv_path] * num_rows} + gen_kwargs = {"text_files": [csv_path]} @@ -815 +868 @@ def test_stream_convert_to_parquet_estimate_info_zipped(tmp_path: Path, csv_path - expected_estimated_num_rows = 142 + expected_estimated_num_rows = 140 @@ -1047,0 +1101,2 @@ def test_track_reads_zip_file(text_file: str, zip_file: str) -> None: + assert tracker.files["file://" + zip_file]["read"] > 0 # open does read metadata + assert tracker.files["file://" + zip_file]["metadata_read"] > 0
b456771f621f0f99aa2ed36f02dbef538a47ae50	Albert Villanova del Moral	[email protected]	2024-06-21T08:21:27	Update scikit-learn to 1.5.0 to fix vulnerability (#2934)	diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index 657ada4d..d4c70203 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -2930 +2930 @@ name = "scikit-learn" -version = "1.2.2" +version = "1.5.0" @@ -2933 +2933 @@ optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" @@ -2935,21 +2935,21 @@ files = [ - {file = "scikit-learn-1.2.2.tar.gz", hash = "sha256:8429aea30ec24e7a8c7ed8a3fa6213adf3814a6efbea09e16e0a0c71e1a1a3d7"}, - {file = "scikit_learn-1.2.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:99cc01184e347de485bf253d19fcb3b1a3fb0ee4cea5ee3c43ec0cc429b6d29f"}, - {file = "scikit_learn-1.2.2-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:e6e574db9914afcb4e11ade84fab084536a895ca60aadea3041e85b8ac963edb"}, - {file = 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"scipy (>=1.6.0)", "threadpoolctl (>=3.1.0)"] +maintenance = ["conda-lock (==2.5.6)"] +tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (>=1.2.0)", "pandas (>=1.1.5)", "polars (>=0.20.23)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pyarrow (>=12.0.0)", "pytest (>=7.1.2)", "pytest-cov (>=2.9.0)", "ruff (>=0.2.1)", "scikit-image (>=0.17.2)"]
69c2443b2d9d4db19c1e036648097ed4f3cd9523	Sylvain Lesage	[email protected]	2024-06-21T07:51:34	divide the rate-limit budget by 5 (#2935)	diff --git a/libs/libcommon/src/libcommon/queue/past_jobs.py b/libs/libcommon/src/libcommon/queue/past_jobs.py index 0da1e060..f0b1177c 100644 --- a/libs/libcommon/src/libcommon/queue/past_jobs.py +++ b/libs/libcommon/src/libcommon/queue/past_jobs.py @@ -37,2 +37,2 @@ class QuerySetManager(Generic[U]): -# we allow 10 hours of compute (parallel jobs) every hour, i.e. 10 dedicated machines -MAX_MACHINES = 10 +# we allow 2 hours of compute (parallel jobs) every hour, i.e. 2 dedicated machines +MAX_MACHINES = 2
e1697d2bccf54c514764774d0644612ec7aeae42	Sylvain Lesage	[email protected]	2024-06-20T20:48:37	create datasetBlockages collection + block datasets (#2933)	diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py index 28d15d45..a38e61e5 100644 --- a/libs/libcommon/src/libcommon/constants.py +++ b/libs/libcommon/src/libcommon/constants.py @@ -16,0 +17 @@ QUEUE_COLLECTION_LOCKS = "locks" +QUEUE_COLLECTION_DATASET_BLOCKAGES = "datasetBlockages" diff --git a/libs/libcommon/src/libcommon/queue/dataset_blockages.py b/libs/libcommon/src/libcommon/queue/dataset_blockages.py new file mode 100644 index 00000000..604ac6db --- /dev/null +++ b/libs/libcommon/src/libcommon/queue/dataset_blockages.py @@ -0,0 +1,83 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + +import types +from typing import Generic, TypeVar + +from mongoengine import Document +from mongoengine.fields import DateTimeField, StringField +from mongoengine.queryset.queryset import QuerySet + +from libcommon.constants import ( + QUEUE_COLLECTION_DATASET_BLOCKAGES, + QUEUE_MONGOENGINE_ALIAS, +) +from libcommon.utils import get_datetime + +# START monkey patching ### hack ### +# see https://github.com/sbdchd/mongo-types#install +U = TypeVar("U", bound=Document) + + +def no_op(self, _): # type: ignore + return self + + +QuerySet.__class_getitem__ = types.MethodType(no_op, QuerySet) + + +class QuerySetManager(Generic[U]): + def __get__(self, instance: object, cls: type[U]) -> QuerySet[U]: + return QuerySet(cls, cls._get_collection()) + + +# END monkey patching ### hack ### + +# delete the dataset blockage (ie. potentially unblock it) after 1 hour +DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS = 1 * 60 * 60 + + +class DatasetBlockageDocument(Document): + """A decision to block (rate-limit) a dataset. The same dataset can be blocked several times. + It is released automatically when the blockage expires (DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS). + + Args: + dataset (`str`): The dataset on which to apply the job. + blocked_at (`datetime`): The date the dataset has been blocked. + """ + + meta = { + "collection": QUEUE_COLLECTION_DATASET_BLOCKAGES, + "db_alias": QUEUE_MONGOENGINE_ALIAS, + "indexes": [ + ("dataset"), + { + "name": "DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS", + "fields": ["blocked_at"], + "expireAfterSeconds": DATASET_BLOCKAGE_EXPIRE_AFTER_SECONDS, + }, + ], + } + dataset = StringField(required=True) + blocked_at = DateTimeField(required=True) + + objects = QuerySetManager["DatasetBlockageDocument"]() + + +def block_dataset(dataset: str) -> None: + """Create a dataset blockage in the mongoDB database, at the current time. + + Args: + dataset (`str`): The dataset to block. + """ + DatasetBlockageDocument(dataset=dataset, blocked_at=get_datetime()).save() + + +def get_blocked_datasets() -> list[str]: + """Return the list of blocked datasets.""" + return DatasetBlockageDocument.objects().distinct("dataset") + + +def is_blocked(dataset: str) -> bool: + """Return True if the dataset is blocked.""" + return DatasetBlockageDocument.objects(dataset=dataset).count() > 0 diff --git a/libs/libcommon/src/libcommon/queue/jobs.py b/libs/libcommon/src/libcommon/queue/jobs.py index c7a0fe88..b1a1b7d3 100644 --- a/libs/libcommon/src/libcommon/queue/jobs.py +++ b/libs/libcommon/src/libcommon/queue/jobs.py @@ -31,0 +32 @@ from libcommon.dtos import FlatJobInfo, JobInfo, Priority, Status, WorkerSize +from libcommon.queue.dataset_blockages import get_blocked_datasets @@ -38 +39 @@ from libcommon.queue.metrics import ( -from libcommon.queue.past_jobs import NegativeDurationError, create_past_job +from libcommon.queue.past_jobs import create_past_job @@ -115,0 +117 @@ class JobQueryFilters(TypedDict, total=False): + dataset__nin: list[str] @@ -386 +388,2 @@ class Queue: - - among the datasets that still have no started job. + - among the datasets that are not rate-limited + - among the datasets that still have no started job @@ -406,0 +410,3 @@ class Queue: + blocked_datasets = get_blocked_datasets() + logging.debug(f"Blocked datasets: {blocked_datasets}") + @@ -415,0 +422,2 @@ class Queue: + if blocked_datasets: + filters["dataset__nin"] = blocked_datasets @@ -423 +431,4 @@ class Queue: - status=Status.WAITING, namespace__nin=set(started_job_namespaces), priority=priority, filters + status=Status.WAITING, + namespace__nin=set(started_job_namespaces), + priority=priority, + filters, @@ -438,0 +450 @@ class Queue: + # - exclude the blocked datasets @@ -480,0 +493 @@ class Queue: + - among the datasets that are not rate-limited, @@ -707,10 +720,5 @@ class Queue: - try: - create_past_job( - dataset=job.dataset, - started_at=pytz.UTC.localize(job.started_at), - finished_at=get_datetime(), - ) - except NegativeDurationError: - logging.warning( - f"job {job_id} has a negative duration. The duration is not saved in the past jobs collection." - ) + create_past_job( + dataset=job.dataset, + started_at=pytz.UTC.localize(job.started_at), + finished_at=get_datetime(), + ) diff --git a/libs/libcommon/src/libcommon/queue/lock.py b/libs/libcommon/src/libcommon/queue/lock.py index 9c0cf54c..7f0486e3 100644 --- a/libs/libcommon/src/libcommon/queue/lock.py +++ b/libs/libcommon/src/libcommon/queue/lock.py @@ -2 +2 @@ -# Copyright 2022 The HuggingFace Authors. +# Copyright 2024 The HuggingFace Authors. diff --git a/libs/libcommon/src/libcommon/queue/metrics.py b/libs/libcommon/src/libcommon/queue/metrics.py index 7e2fd239..366c1cd1 100644 --- a/libs/libcommon/src/libcommon/queue/metrics.py +++ b/libs/libcommon/src/libcommon/queue/metrics.py @@ -2 +2 @@ -# Copyright 2022 The HuggingFace Authors. +# Copyright 2024 The HuggingFace Authors. diff --git a/libs/libcommon/src/libcommon/queue/past_jobs.py b/libs/libcommon/src/libcommon/queue/past_jobs.py index da6a181f..0da1e060 100644 --- a/libs/libcommon/src/libcommon/queue/past_jobs.py +++ b/libs/libcommon/src/libcommon/queue/past_jobs.py @@ -9,2 +9 @@ from mongoengine import Document -from mongoengine.errors import ValidationError -from mongoengine.fields import DateTimeField, FloatField, StringField +from mongoengine.fields import DateTimeField, IntField, StringField @@ -16,0 +16 @@ from libcommon.constants import ( +from libcommon.queue.dataset_blockages import block_dataset, is_blocked @@ -37,2 +37,10 @@ class QuerySetManager(Generic[U]): -# delete the past jobs after 6 hours -PAST_JOB_EXPIRE_AFTER_SECONDS = 6 * 60 * 60 +# we allow 10 hours of compute (parallel jobs) every hour, i.e. 10 dedicated machines +MAX_MACHINES = 10 +# we look at the last 6 hours to decide to rate-limit a dataset +RATE_LIMIT_WINDOW_SECONDS = 6 * 60 * 60 +# total jobs duration that triggers rate-limiting a dataset +DATASET_BLOCKAGE_THRESHOLD_SECONDS = MAX_MACHINES * RATE_LIMIT_WINDOW_SECONDS +# don't check for rate-limiting if the duration is super short +JOB_DURATION_CHECK_MIN_SECONDS = 5 * 60 +# don't record short durations, because they will not have impact, but can clutter the collection +JOB_DURATION_MIN_SECONDS = 30 @@ -42 +50 @@ class PastJobDocument(Document): - """A job in the mongoDB database + """The duration of a job that has been completed. @@ -46 +54 @@ class PastJobDocument(Document): - duration (`float`): The duration of the job, in seconds. + duration (`int`): The duration of the job, in seconds. @@ -54 +61,0 @@ class PastJobDocument(Document): - ("dataset", "duration"), @@ -58 +65 @@ class PastJobDocument(Document): - "expireAfterSeconds": PAST_JOB_EXPIRE_AFTER_SECONDS, + "expireAfterSeconds": RATE_LIMIT_WINDOW_SECONDS, @@ -63 +70 @@ class PastJobDocument(Document): - duration = FloatField(required=True, min_value=0.0) + duration = IntField(required=True, min_value=0) @@ -69,4 +75,0 @@ class PastJobDocument(Document): -class NegativeDurationError(ValidationError): - pass - - @@ -74 +77,4 @@ def create_past_job(dataset: str, started_at: datetime, finished_at: datetime) - - """Create a past job in the mongoDB database + """Create a past job in the mongoDB database. + + After creating the entry, we check if it should be rate-limited (if it isn't yet), and if so, we block + the dataset. @@ -80,3 +85,0 @@ def create_past_job(dataset: str, started_at: datetime, finished_at: datetime) - - - Raises: - ValidationError: If the duration is negative. @@ -84,5 +87,8 @@ def create_past_job(dataset: str, started_at: datetime, finished_at: datetime) - - duration = (finished_at - started_at).total_seconds() - try: - PastJobDocument(dataset=dataset, duration=duration, finished_at=finished_at).save() - except ValidationError as e: - raise NegativeDurationError("The duration of the job cannot be negative.") from e + duration = int((finished_at - started_at).total_seconds()) + if duration < JOB_DURATION_MIN_SECONDS: + return + PastJobDocument(dataset=dataset, duration=duration, finished_at=finished_at).save() + + if not is_blocked(dataset) and duration > JOB_DURATION_CHECK_MIN_SECONDS: + if PastJobDocument.objects(dataset=dataset).sum("duration") > DATASET_BLOCKAGE_THRESHOLD_SECONDS: + block_dataset(dataset) diff --git a/libs/libcommon/src/libcommon/queue/utils.py b/libs/libcommon/src/libcommon/queue/utils.py index 820a7773..378b970b 100644 --- a/libs/libcommon/src/libcommon/queue/utils.py +++ b/libs/libcommon/src/libcommon/queue/utils.py @@ -3,0 +4 @@ +from .dataset_blockages import DatasetBlockageDocument @@ -17,0 +19 @@ def _clean_queue_database() -> None: + DatasetBlockageDocument.drop_collection() # type: ignore diff --git a/libs/libcommon/tests/queue/test_dataset_blockages.py b/libs/libcommon/tests/queue/test_dataset_blockages.py new file mode 100644 index 00000000..ab613d7e --- /dev/null +++ b/libs/libcommon/tests/queue/test_dataset_blockages.py @@ -0,0 +1,31 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import pytest + +from libcommon.queue.dataset_blockages import block_dataset, get_blocked_datasets, is_blocked +from libcommon.resources import QueueMongoResource + + [email protected](autouse=True) +def queue_mongo_resource_autouse(queue_mongo_resource: QueueMongoResource) -> QueueMongoResource: + return queue_mongo_resource + + [email protected]( + "datasets,expected_datasets", + [ + ([], []), + (["dataset"], ["dataset"]), + (["dataset", "dataset"], ["dataset"]), + (["dataset1", "dataset2"], ["dataset1", "dataset2"]), + ], +) +def test_dataset_blockage(datasets: list[str], expected_datasets: set[str]) -> None: + for dataset in datasets: + block_dataset(dataset=dataset) + + assert sorted(get_blocked_datasets()) == sorted(expected_datasets) + for dataset in expected_datasets: + assert is_blocked(dataset=dataset) + assert not is_blocked(dataset="not_blocked_dataset") diff --git a/libs/libcommon/tests/queue/test_jobs.py b/libs/libcommon/tests/queue/test_jobs.py index 1c3b7822..af5558e1 100644 --- a/libs/libcommon/tests/queue/test_jobs.py +++ b/libs/libcommon/tests/queue/test_jobs.py @@ -12,0 +13 @@ from libcommon.dtos import Priority, Status, WorkerSize +from libcommon.queue.dataset_blockages import block_dataset @@ -15 +16 @@ from libcommon.queue.metrics import JobTotalMetricDocument, WorkerSizeJobsCountD -from libcommon.queue.past_jobs import PastJobDocument +from libcommon.queue.past_jobs import JOB_DURATION_MIN_SECONDS, PastJobDocument @@ -41,0 +43,4 @@ def get_old_datetime() -> datetime: +def get_future_datetime() -> datetime: + return get_datetime() + timedelta(seconds=JOB_DURATION_MIN_SECONDS * 2) + + @@ -100,2 +105,2 @@ def test_add_job() -> None: - assert_past_jobs_number(1) - # ^the duration has been saved in past jobs + assert_past_jobs_number(0) + # ^ the duration is too short, it's ignored @@ -122,2 +127,3 @@ def test_add_job() -> None: - # finish it - queue.finish_job(job_id=job_info["job_id"]) + # finish it (but changing the start date, so that an entry is created in pastJobs) + with patch("libcommon.queue.jobs.get_datetime", get_future_datetime): + queue.finish_job(job_id=job_info["job_id"]) @@ -134,2 +140,2 @@ def test_add_job() -> None: - # two finished jobs - assert_past_jobs_number(2) + # one long finished job + assert_past_jobs_number(1) @@ -692,0 +699,33 @@ def test_get_pending_jobs_df_and_has_pending_jobs( + + [email protected]( + "datasets,blocked_datasets,expected_started_dataset", + [ + ([], [], None), + ([], ["dataset"], None), + (["dataset"], [], "dataset"), + (["dataset"], ["dataset"], None), + (["dataset", "dataset"], [], "dataset"), + (["dataset", "dataset"], ["dataset"], None), + (["dataset1", "dataset2"], [], "dataset1"), + (["dataset1", "dataset2"], ["dataset1"], "dataset2"), + (["dataset1", "dataset2"], ["dataset1", "dataset2"], None), + ], +) +def test_rate_limited_dataset( + datasets: list[str], + blocked_datasets: list[str], + expected_started_dataset: Optional[str], +) -> None: + queue = Queue() + for dataset in datasets: + queue.add_job(job_type="test_type", dataset=dataset, revision="test_revision", difficulty=50) + for blocked_dataset in blocked_datasets: + block_dataset(blocked_dataset) + + if expected_started_dataset: + job_info = queue.start_job() + assert job_info["params"]["dataset"] == expected_started_dataset + else: + with pytest.raises(EmptyQueueError): + queue.start_job() diff --git a/libs/libcommon/tests/queue/test_past_jobs.py b/libs/libcommon/tests/queue/test_past_jobs.py index 581825ba..65f5a78b 100644 --- a/libs/libcommon/tests/queue/test_past_jobs.py +++ b/libs/libcommon/tests/queue/test_past_jobs.py @@ -8,0 +9 @@ import pytest +from libcommon.queue.dataset_blockages import get_blocked_datasets @@ -10 +11,6 @@ from libcommon.queue.jobs import Queue -from libcommon.queue.past_jobs import NegativeDurationError, PastJobDocument, create_past_job +from libcommon.queue.past_jobs import ( + DATASET_BLOCKAGE_THRESHOLD_SECONDS, + JOB_DURATION_MIN_SECONDS, + PastJobDocument, + create_past_job, +) @@ -25 +31 @@ DATASET = "dataset" - [1.0, 0.0, 12345.6789], + [JOB_DURATION_MIN_SECONDS, JOB_DURATION_MIN_SECONDS * 2, JOB_DURATION_MIN_SECONDS + 0.33], @@ -32 +38 @@ def test_create_past_job(duration: float) -> None: - assert past_job.duration == duration + assert past_job.duration == int(duration) @@ -35,2 +41,5 @@ def test_create_past_job(duration: float) -> None: [email protected]("duration", [-1.0]) -def test_create_past_job_raises(duration: float) -> None: [email protected]( + "duration", + [0, 1, JOB_DURATION_MIN_SECONDS - 1], +) +def test_create_past_job_with_short_duration(duration: float) -> None: @@ -39,2 +48,2 @@ def test_create_past_job_raises(duration: float) -> None: - with pytest.raises(NegativeDurationError): - create_past_job(dataset=DATASET, started_at=started_at, finished_at=finished_at) + create_past_job(dataset=DATASET, started_at=started_at, finished_at=finished_at) + PastJobDocument.objects(dataset=DATASET).count() == 0 @@ -55,0 +65,35 @@ def test_create_past_job_raises_if_timezone_unaware() -> None: + + [email protected]( + "jobs,expected_blocked_datasets", + [ + ( + [ + ("dataset1", DATASET_BLOCKAGE_THRESHOLD_SECONDS * 0.5), + ("dataset2", DATASET_BLOCKAGE_THRESHOLD_SECONDS * 2), + ], + ["dataset2"], + ), + ( + [ + ("dataset", DATASET_BLOCKAGE_THRESHOLD_SECONDS * 0.9), + ("dataset", DATASET_BLOCKAGE_THRESHOLD_SECONDS * 0.9), + ], + ["dataset"], + ), + ( + [ + ("dataset1", DATASET_BLOCKAGE_THRESHOLD_SECONDS * 2), + ("dataset2", DATASET_BLOCKAGE_THRESHOLD_SECONDS * 2), + ], + ["dataset1", "dataset2"], + ), + ], +) +def test_block_datasets(jobs: list[tuple[str, float]], expected_blocked_datasets: list[str]) -> None: + for job in jobs: + (dataset, duration) = job + finished_at = get_datetime() + started_at = finished_at - timedelta(seconds=duration) + create_past_job(dataset=dataset, started_at=started_at, finished_at=finished_at) + assert sorted(get_blocked_datasets()) == sorted(expected_blocked_datasets)
266ea127652ace1a7f0537b8768490668253763e	Sylvain Lesage	[email protected]	2024-06-20T20:24:48	Create pastJobs collection (#2931)	diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py index 0ba728d2..28d15d45 100644 --- a/libs/libcommon/src/libcommon/constants.py +++ b/libs/libcommon/src/libcommon/constants.py @@ -14,0 +15 @@ QUEUE_COLLECTION_JOBS = "jobsBlue" +QUEUE_COLLECTION_PAST_JOBS = "pastJobs" diff --git a/libs/libcommon/src/libcommon/queue/jobs.py b/libs/libcommon/src/libcommon/queue/jobs.py index 95a473d8..c7a0fe88 100644 --- a/libs/libcommon/src/libcommon/queue/jobs.py +++ b/libs/libcommon/src/libcommon/queue/jobs.py @@ -37,0 +38 @@ from libcommon.queue.metrics import ( +from libcommon.queue.past_jobs import NegativeDurationError, create_past_job @@ -688 +689 @@ class Queue: - The job is moved from the started state to the success or error state. The existing locks are released. + The job is deleted. The existing locks are released. The duration is saved in pastJobs. @@ -692 +692,0 @@ class Queue: - is_success (`bool`): whether the job succeeded or not @@ -705,0 +706,11 @@ class Queue: + if job.started_at is not None: + try: + create_past_job( + dataset=job.dataset, + started_at=pytz.UTC.localize(job.started_at), + finished_at=get_datetime(), + ) + except NegativeDurationError: + logging.warning( + f"job {job_id} has a negative duration. The duration is not saved in the past jobs collection." + ) diff --git a/libs/libcommon/src/libcommon/queue/past_jobs.py b/libs/libcommon/src/libcommon/queue/past_jobs.py new file mode 100644 index 00000000..da6a181f --- /dev/null +++ b/libs/libcommon/src/libcommon/queue/past_jobs.py @@ -0,0 +1,88 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + +import types +from datetime import datetime +from typing import Generic, TypeVar + +from mongoengine import Document +from mongoengine.errors import ValidationError +from mongoengine.fields import DateTimeField, FloatField, StringField +from mongoengine.queryset.queryset import QuerySet + +from libcommon.constants import ( + QUEUE_COLLECTION_PAST_JOBS, + QUEUE_MONGOENGINE_ALIAS, +) + +# START monkey patching ### hack ### +# see https://github.com/sbdchd/mongo-types#install +U = TypeVar("U", bound=Document) + + +def no_op(self, _): # type: ignore + return self + + +QuerySet.__class_getitem__ = types.MethodType(no_op, QuerySet) + + +class QuerySetManager(Generic[U]): + def __get__(self, instance: object, cls: type[U]) -> QuerySet[U]: + return QuerySet(cls, cls._get_collection()) + + +# END monkey patching ### hack ### + +# delete the past jobs after 6 hours +PAST_JOB_EXPIRE_AFTER_SECONDS = 6 * 60 * 60 + + +class PastJobDocument(Document): + """A job in the mongoDB database + + Args: + dataset (`str`): The dataset on which to apply the job. + duration (`float`): The duration of the job, in seconds. + finished_at (`datetime`): The date the job has finished. + """ + + meta = { + "collection": QUEUE_COLLECTION_PAST_JOBS, + "db_alias": QUEUE_MONGOENGINE_ALIAS, + "indexes": [ + ("dataset", "duration"), + { + "name": "PAST_JOB_EXPIRE_AFTER_SECONDS", + "fields": ["finished_at"], + "expireAfterSeconds": PAST_JOB_EXPIRE_AFTER_SECONDS, + }, + ], + } + dataset = StringField(required=True) + duration = FloatField(required=True, min_value=0.0) + finished_at = DateTimeField(required=True) + + objects = QuerySetManager["PastJobDocument"]() + + +class NegativeDurationError(ValidationError): + pass + + +def create_past_job(dataset: str, started_at: datetime, finished_at: datetime) -> None: + """Create a past job in the mongoDB database + + Args: + dataset (`str`): The dataset on which to apply the job. + started_at (`datetime`): The date the job has started. + finished_at (`datetime`): The date the job has finished. + + Raises: + ValidationError: If the duration is negative. + """ + duration = (finished_at - started_at).total_seconds() + try: + PastJobDocument(dataset=dataset, duration=duration, finished_at=finished_at).save() + except ValidationError as e: + raise NegativeDurationError("The duration of the job cannot be negative.") from e diff --git a/libs/libcommon/src/libcommon/queue/utils.py b/libs/libcommon/src/libcommon/queue/utils.py index 2a5e41a5..820a7773 100644 --- a/libs/libcommon/src/libcommon/queue/utils.py +++ b/libs/libcommon/src/libcommon/queue/utils.py @@ -6,0 +7 @@ from .metrics import JobTotalMetricDocument, WorkerSizeJobsCountDocument +from .past_jobs import PastJobDocument @@ -15,0 +17 @@ def _clean_queue_database() -> None: + PastJobDocument.drop_collection() # type: ignore diff --git a/libs/libcommon/tests/queue/test_jobs.py b/libs/libcommon/tests/queue/test_jobs.py index ee030bd4..1c3b7822 100644 --- a/libs/libcommon/tests/queue/test_jobs.py +++ b/libs/libcommon/tests/queue/test_jobs.py @@ -14,0 +15 @@ from libcommon.queue.metrics import JobTotalMetricDocument, WorkerSizeJobsCountD +from libcommon.queue.past_jobs import PastJobDocument @@ -30,0 +32,4 @@ def assert_metric_jobs_per_worker(worker_size: str, jobs_count: int) -> None: +def assert_past_jobs_number(count: int) -> None: + assert PastJobDocument.objects().count() == count + + @@ -46,0 +52 @@ def test_add_job() -> None: + @@ -50,0 +57,2 @@ def test_add_job() -> None: + assert_past_jobs_number(0) + @@ -89,0 +98 @@ def test_add_job() -> None: + assert_past_jobs_number(0) @@ -90,0 +100,3 @@ def test_add_job() -> None: + assert_past_jobs_number(1) + # ^the duration has been saved in past jobs + @@ -121,0 +134,3 @@ def test_add_job() -> None: + # two finished jobs + assert_past_jobs_number(2) + @@ -547 +562 @@ def test_queue_get_zombies() -> None: -def test_delete_dataset_waiting_jobs(queue_mongo_resource: QueueMongoResource) -> None: +def test_delete_dataset_waiting_jobs() -> None: @@ -664 +678,0 @@ def test_get_pending_jobs_df_and_has_pending_jobs( - queue_mongo_resource: QueueMongoResource, diff --git a/libs/libcommon/tests/queue/test_past_jobs.py b/libs/libcommon/tests/queue/test_past_jobs.py new file mode 100644 index 00000000..581825ba --- /dev/null +++ b/libs/libcommon/tests/queue/test_past_jobs.py @@ -0,0 +1,55 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + + +from datetime import timedelta + +import pytest + +from libcommon.queue.jobs import Queue +from libcommon.queue.past_jobs import NegativeDurationError, PastJobDocument, create_past_job +from libcommon.resources import QueueMongoResource +from libcommon.utils import get_datetime + + [email protected](autouse=True) +def queue_mongo_resource_autouse(queue_mongo_resource: QueueMongoResource) -> QueueMongoResource: + return queue_mongo_resource + + +DATASET = "dataset" + + [email protected]( + "duration", + [1.0, 0.0, 12345.6789], +) +def test_create_past_job(duration: float) -> None: + finished_at = get_datetime() + started_at = finished_at - timedelta(seconds=duration) + create_past_job(dataset=DATASET, started_at=started_at, finished_at=finished_at) + past_job = PastJobDocument.objects(dataset=DATASET).get() + assert past_job.duration == duration + + [email protected]("duration", [-1.0]) +def test_create_past_job_raises(duration: float) -> None: + finished_at = get_datetime() + started_at = finished_at - timedelta(seconds=duration) + with pytest.raises(NegativeDurationError): + create_past_job(dataset=DATASET, started_at=started_at, finished_at=finished_at) + + +def test_create_past_job_raises_if_timezone_unaware() -> None: + finished_at = get_datetime() + + queue = Queue() + queue.add_job(job_type="test_type", dataset="test_dataset", revision="test_revision", difficulty=50) + job_info = queue.start_job() + started_at = queue._get_started_job(job_info["job_id"]).started_at + # ^ mongo looses the timezone, see https://github.com/huggingface/dataset-viewer/issues/862 + assert started_at is not None + + with pytest.raises(TypeError) as exc_info: + create_past_job(dataset=DATASET, started_at=started_at, finished_at=finished_at) + assert "can't subtract offset-naive and offset-aware datetimes" in str(exc_info.value)
d19ec8711fb64db9ab4a2957af1c0243bb1d31a4	Sylvain Lesage	[email protected]	2024-06-20T12:39:16	[refactoring] split queue.py in 3 modules (#2930)	diff --git a/jobs/cache_maintenance/src/cache_maintenance/queue_metrics.py b/jobs/cache_maintenance/src/cache_maintenance/queue_metrics.py index 06a48c0f..4ebadb23 100644 --- a/jobs/cache_maintenance/src/cache_maintenance/queue_metrics.py +++ b/jobs/cache_maintenance/src/cache_maintenance/queue_metrics.py @@ -6 +6,2 @@ import logging -from libcommon.queue import JobTotalMetricDocument, Queue, WorkerSizeJobsCountDocument +from libcommon.queue.jobs import Queue +from libcommon.queue.metrics import JobTotalMetricDocument, WorkerSizeJobsCountDocument diff --git a/jobs/cache_maintenance/tests/conftest.py b/jobs/cache_maintenance/tests/conftest.py index 4226acbb..2a10e3d7 100644 --- a/jobs/cache_maintenance/tests/conftest.py +++ b/jobs/cache_maintenance/tests/conftest.py @@ -6 +6 @@ from collections.abc import Iterator -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/jobs/cache_maintenance/tests/test_collect_queue_metrics.py b/jobs/cache_maintenance/tests/test_collect_queue_metrics.py index c423d4ba..223cb912 100644 --- a/jobs/cache_maintenance/tests/test_collect_queue_metrics.py +++ b/jobs/cache_maintenance/tests/test_collect_queue_metrics.py @@ -7,7 +7,2 @@ import pytest -from libcommon.queue import ( - JobsCountByWorkerSize, - JobsTotalByTypeAndStatus, - JobTotalMetricDocument, - Queue, - WorkerSizeJobsCountDocument, -) +from libcommon.queue.jobs import JobsCountByWorkerSize, JobsTotalByTypeAndStatus, Queue +from libcommon.queue.metrics import JobTotalMetricDocument, WorkerSizeJobsCountDocument diff --git a/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py b/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py index f1830bea..fa306bd0 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py +++ b/jobs/mongodb_migration/src/mongodb_migration/deletion_migrations.py @@ -8 +8 @@ from typing import Any, Optional -from libcommon.queue import JobDocument +from libcommon.queue.jobs import JobDocument diff --git a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230126164900_queue_job_add_priority.py b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230126164900_queue_job_add_priority.py index b7cc73e2..e4c1fb79 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230126164900_queue_job_add_priority.py +++ b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230126164900_queue_job_add_priority.py @@ -7 +7 @@ from libcommon.constants import QUEUE_COLLECTION_JOBS, QUEUE_MONGOENGINE_ALIAS -from libcommon.queue import JobDocument +from libcommon.queue.jobs import JobDocument diff --git a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230516101500_queue_job_add_revision.py b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230516101500_queue_job_add_revision.py index 89fdd00e..c90bef0e 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230516101500_queue_job_add_revision.py +++ b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230516101500_queue_job_add_revision.py @@ -7 +7 @@ from libcommon.constants import QUEUE_COLLECTION_JOBS, QUEUE_MONGOENGINE_ALIAS -from libcommon.queue import JobDocument +from libcommon.queue.jobs import JobDocument diff --git a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230622131500_lock_add_owner.py b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230622131500_lock_add_owner.py index 6681c07f..35d813d3 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230622131500_lock_add_owner.py +++ b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230622131500_lock_add_owner.py @@ -7 +7 @@ from libcommon.constants import QUEUE_COLLECTION_LOCKS, QUEUE_MONGOENGINE_ALIAS -from libcommon.queue import Lock +from libcommon.queue.lock import Lock diff --git a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230705160600_queue_job_add_difficulty.py b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230705160600_queue_job_add_difficulty.py index 256fab54..b367d1ea 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230705160600_queue_job_add_difficulty.py +++ b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230705160600_queue_job_add_difficulty.py @@ -12 +12 @@ from libcommon.processing_graph import specification -from libcommon.queue import JobDocument +from libcommon.queue.jobs import JobDocument diff --git a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230825170200_lock_add_ttl.py b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230825170200_lock_add_ttl.py index 258624ee..ff680da2 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230825170200_lock_add_ttl.py +++ b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20230825170200_lock_add_ttl.py @@ -7 +7 @@ from libcommon.constants import QUEUE_COLLECTION_LOCKS, QUEUE_MONGOENGINE_ALIAS -from libcommon.queue import Lock +from libcommon.queue.lock import Lock diff --git a/jobs/mongodb_migration/src/mongodb_migration/renaming_migrations.py b/jobs/mongodb_migration/src/mongodb_migration/renaming_migrations.py index b16aff74..c9c37351 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/renaming_migrations.py +++ b/jobs/mongodb_migration/src/mongodb_migration/renaming_migrations.py @@ -7 +7 @@ from typing import Optional -from libcommon.queue import JobDocument +from libcommon.queue.jobs import JobDocument diff --git a/jobs/mongodb_migration/tests/migrations/test_20230511100700_queue_delete_indexes_with_force.py b/jobs/mongodb_migration/tests/migrations/test_20230511100700_queue_delete_indexes_with_force.py index 52bfd45c..300def3d 100644 --- a/jobs/mongodb_migration/tests/migrations/test_20230511100700_queue_delete_indexes_with_force.py +++ b/jobs/mongodb_migration/tests/migrations/test_20230511100700_queue_delete_indexes_with_force.py @@ -5 +5 @@ from libcommon.constants import QUEUE_COLLECTION_JOBS, QUEUE_MONGOENGINE_ALIAS -from libcommon.queue import JobDocument +from libcommon.queue.jobs import JobDocument diff --git a/jobs/mongodb_migration/tests/test_deletion_migrations.py b/jobs/mongodb_migration/tests/test_deletion_migrations.py index f08e3df0..9d90e5c6 100644 --- a/jobs/mongodb_migration/tests/test_deletion_migrations.py +++ b/jobs/mongodb_migration/tests/test_deletion_migrations.py @@ -12 +12 @@ from libcommon.dtos import Status -from libcommon.queue import JobDocument +from libcommon.queue.jobs import JobDocument diff --git a/libs/libapi/tests/conftest.py b/libs/libapi/tests/conftest.py index ff01a25c..7b55759d 100644 --- a/libs/libapi/tests/conftest.py +++ b/libs/libapi/tests/conftest.py @@ -8 +8 @@ from libcommon.config import CacheConfig, QueueConfig -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/libs/libcommon/src/libcommon/orchestrator.py b/libs/libcommon/src/libcommon/orchestrator.py index 93a3ffcb..77e5f11c 100644 --- a/libs/libcommon/src/libcommon/orchestrator.py +++ b/libs/libcommon/src/libcommon/orchestrator.py @@ -23 +23 @@ from libcommon.prometheus import StepProfiler -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/libs/libcommon/src/libcommon/prometheus.py b/libs/libcommon/src/libcommon/prometheus.py index 8fc7ad61..4966028f 100644 --- a/libs/libcommon/src/libcommon/prometheus.py +++ b/libs/libcommon/src/libcommon/prometheus.py @@ -20 +20 @@ from libcommon.constants import LONG_DURATION_PROMETHEUS_HISTOGRAM_BUCKETS -from libcommon.queue import JobTotalMetricDocument, WorkerSizeJobsCountDocument +from libcommon.queue.metrics import JobTotalMetricDocument, WorkerSizeJobsCountDocument diff --git a/libs/libcommon/src/libcommon/queue/__init__.py b/libs/libcommon/src/libcommon/queue/__init__.py new file mode 100644 index 00000000..ec85e676 --- /dev/null +++ b/libs/libcommon/src/libcommon/queue/__init__.py @@ -0,0 +1,3 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue/jobs.py similarity index 79% rename from libs/libcommon/src/libcommon/queue.py rename to libs/libcommon/src/libcommon/queue/jobs.py index fb642cc1..95a473d8 100644 --- a/libs/libcommon/src/libcommon/queue.py +++ b/libs/libcommon/src/libcommon/queue/jobs.py @@ -5 +4,0 @@ import contextlib -import json @@ -7 +5,0 @@ import logging -import time @@ -10 +8 @@ from collections import Counter -from collections.abc import Mapping, Sequence +from collections.abc import Mapping @@ -12 +9,0 @@ from datetime import datetime, timedelta -from enum import IntEnum @@ -15,2 +12 @@ from operator import itemgetter -from types import TracebackType -from typing import Any, Generic, Literal, Optional, TypedDict, TypeVar +from typing import Any, Generic, Optional, TypedDict, TypeVar @@ -23 +18,0 @@ import pytz -from bson import ObjectId @@ -25,2 +20,2 @@ from mongoengine import Document -from mongoengine.errors import DoesNotExist, NotUniqueError -from mongoengine.fields import DateTimeField, EnumField, IntField, ObjectIdField, StringField +from mongoengine.errors import DoesNotExist +from mongoengine.fields import DateTimeField, EnumField, IntField, StringField @@ -33,3 +27,0 @@ from libcommon.constants import ( - LOCK_TTL_SECONDS_NO_OWNER, - LOCK_TTL_SECONDS_TO_START_JOB, - LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH, @@ -37 +28,0 @@ from libcommon.constants import ( - QUEUE_COLLECTION_LOCKS, @@ -39,2 +29,0 @@ from libcommon.constants import ( - TYPE_AND_STATUS_JOB_COUNTS_COLLECTION, - WORKER_TYPE_JOB_COUNTS_COLLECTION, @@ -42,0 +32,6 @@ from libcommon.dtos import FlatJobInfo, JobInfo, Priority, Status, WorkerSize +from libcommon.queue.lock import lock, release_lock, release_locks +from libcommon.queue.metrics import ( + decrease_metric, + increase_metric, + update_metrics_for_type, +) @@ -62,2 +57 @@ class QuerySetManager(Generic[U]): -class StartedJobError(Exception): - pass +# END monkey patching ### hack ### @@ -66 +60,3 @@ class StartedJobError(Exception): -# END monkey patching ### hack ### +JobsTotalByTypeAndStatus = Mapping[tuple[str, str], int] + +JobsCountByWorkerSize = Mapping[str, int] @@ -85,5 +80,0 @@ class JobDict(TypedDict): -JobsTotalByTypeAndStatus = Mapping[tuple[str, str], int] - -JobsCountByWorkerSize = Mapping[str, int] - - @@ -114,0 +106,4 @@ class NoWaitingJobError(Exception): +class StartedJobError(Exception): + pass + + @@ -257,260 +251,0 @@ class JobDocument(Document): -DEFAULT_INCREASE_AMOUNT = 1 -DEFAULT_DECREASE_AMOUNT = -1 - - -class JobTotalMetricDocument(Document): - """Jobs total metric in mongoDB database, used to compute prometheus metrics. - - Args: - job_type (`str`): job type - status (`str`): job status see libcommon.queue.Status - total (`int`): total of jobs - created_at (`datetime`): when the metric has been created. - """ - - id = ObjectIdField(db_field="_id", primary_key=True, default=ObjectId) - job_type = StringField(required=True, unique_with="status") - status = StringField(required=True) - total = IntField(required=True, default=0) - created_at = DateTimeField(default=get_datetime) - - meta = { - "collection": TYPE_AND_STATUS_JOB_COUNTS_COLLECTION, - "db_alias": QUEUE_MONGOENGINE_ALIAS, - "indexes": [("job_type", "status")], - } - objects = QuerySetManager["JobTotalMetricDocument"]() - - -class WorkerSizeJobsCountDocument(Document): - """Metric that counts the number of (waiting) jobs per worker size. - - A worker size is defined by the job difficulties it handles. We hardcode - - light: difficulty <= 40 - - medium: 40 < difficulty <= 70 - - heavy: 70 < difficulty - - Args: - worker_size (`WorkerSize`): worker size - jobs_count (`int`): jobs count - created_at (`datetime`): when the metric has been created. - """ - - id = ObjectIdField(db_field="_id", primary_key=True, default=ObjectId) - worker_size = EnumField(WorkerSize, required=True, unique=True) - jobs_count = IntField(required=True, default=0) - created_at = DateTimeField(default=get_datetime) - - @staticmethod - def get_worker_size(difficulty: int) -> WorkerSize: - if difficulty <= 40: - return WorkerSize.light - if difficulty <= 70: - return WorkerSize.medium - return WorkerSize.heavy - - meta = { - "collection": WORKER_TYPE_JOB_COUNTS_COLLECTION, - "db_alias": QUEUE_MONGOENGINE_ALIAS, - "indexes": [("worker_size")], - } - objects = QuerySetManager["WorkerSizeJobsCountDocument"]() - - -def _update_metrics(job_type: str, status: str, increase_by: int, difficulty: int) -> None: - JobTotalMetricDocument.objects(job_type=job_type, status=status).update( - upsert=True, - write_concern={"w": "majority", "fsync": True}, - read_concern={"level": "majority"}, - inc__total=increase_by, - ) - if status == Status.WAITING: - worker_size = WorkerSizeJobsCountDocument.get_worker_size(difficulty=difficulty) - WorkerSizeJobsCountDocument.objects(worker_size=worker_size).update( - upsert=True, - write_concern={"w": "majority", "fsync": True}, - read_concern={"level": "majority"}, - inc__jobs_count=increase_by, - ) - - -def increase_metric(job_type: str, status: str, difficulty: int) -> None: - _update_metrics(job_type=job_type, status=status, increase_by=DEFAULT_INCREASE_AMOUNT, difficulty=difficulty) - - -def decrease_metric(job_type: str, status: str, difficulty: int) -> None: - _update_metrics(job_type=job_type, status=status, increase_by=DEFAULT_DECREASE_AMOUNT, difficulty=difficulty) - - -def update_metrics_for_type(job_type: str, previous_status: str, new_status: str, difficulty: int) -> None: - if job_type is not None: - decrease_metric(job_type=job_type, status=previous_status, difficulty=difficulty) - increase_metric(job_type=job_type, status=new_status, difficulty=difficulty) - # ^ this does not affect WorkerSizeJobsCountDocument, so we don't pass the job difficulty - - -class _TTL(IntEnum): - LOCK_TTL_SECONDS_TO_START_JOB = LOCK_TTL_SECONDS_TO_START_JOB - LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH = LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH - - -class Lock(Document): - meta = { - "collection": QUEUE_COLLECTION_LOCKS, - "db_alias": QUEUE_MONGOENGINE_ALIAS, - "indexes": [ - ("key", "owner"), - { - "name": "LOCK_TTL_SECONDS_NO_OWNER", - "fields": ["updated_at"], - "expireAfterSeconds": LOCK_TTL_SECONDS_NO_OWNER, - "partialFilterExpression": {"owner": None}, - }, - ] - + [ - { - "name": ttl.name, - "fields": ["updated_at"], - "expireAfterSeconds": ttl, - "partialFilterExpression": {"ttl": ttl}, - } - for ttl in _TTL - ], - } - - key = StringField(primary_key=True) - owner = StringField() - ttl = IntField() - job_id = StringField() # deprecated - - created_at = DateTimeField() - updated_at = DateTimeField() - - objects = QuerySetManager["Lock"]() - - -class lock(contextlib.AbstractContextManager["lock"]): - """ - Provides a simple way of inter-applications communication using a MongoDB lock. - - An example usage is to another worker of your application that a resource - or working directory is currently used in a job. - - Example of usage: - - ```python - key = json.dumps({"type": job.type, "dataset": job.dataset}) - with lock(key=key, owner=job.pk): - ... - ``` - - Or using a try/except: - - ```python - try: - key = json.dumps({"type": job.type, "dataset": job.dataset}) - lock(key=key, owner=job.pk).acquire() - except TimeoutError: - ... - ``` - """ - - TTL = _TTL - _default_sleeps = (0.05, 0.05, 0.05, 1, 1, 1, 5) - - def __init__( - self, key: str, owner: str, sleeps: Sequence[float] = _default_sleeps, ttl: Optional[_TTL] = None - ) -> None: - self.key = key - self.owner = owner - self.sleeps = sleeps - self.ttl = ttl - if ttl is not None and ttl not in list(self.TTL): - raise ValueError(f"The TTL value is not supported by the TTL index. It should be one of {list(self.TTL)}") - - def acquire(self) -> None: - for sleep in self.sleeps: - try: - Lock.objects(key=self.key, owner__in=[None, self.owner]).update( - upsert=True, - write_concern={"w": "majority", "fsync": True}, - read_concern={"level": "majority"}, - owner=self.owner, - updated_at=get_datetime(), - ttl=self.ttl, - ) - return - except NotUniqueError: - logging.debug(f"Sleep {sleep}s to acquire lock '{self.key}' for owner='{self.owner}'") - time.sleep(sleep) - raise TimeoutError("lock couldn't be acquired") - - def release(self) -> None: - Lock.objects(key=self.key, owner=self.owner).update( - write_concern={"w": "majority", "fsync": True}, - read_concern={"level": "majority"}, - owner=None, - updated_at=get_datetime(), - ) - - def __enter__(self) -> "lock": - self.acquire() - return self - - def __exit__( - self, exctype: Optional[type[BaseException]], excinst: Optional[BaseException], exctb: Optional[TracebackType] - ) -> Literal[False]: - self.release() - return False - - @classmethod - def git_branch( - cls, - dataset: str, - branch: str, - owner: str, - sleeps: Sequence[float] = _default_sleeps, - ) -> "lock": - """ - Lock a git branch of a dataset on the hub for read/write - - Args: - dataset (`str`): the dataset repository - branch (`str`): the branch to lock - owner (`str`): the current job id that holds the lock - sleeps (`Sequence[float]`, optional): the time in seconds to sleep between each attempt to acquire the lock - """ - key = json.dumps({"dataset": dataset, "branch": branch}) - return cls(key=key, owner=owner, sleeps=sleeps, ttl=_TTL.LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH) - - -def release_locks(owner: str) -> None: - """ - Release all locks owned by the given owner - - Args: - owner (`str`): the current owner that holds the locks - """ - Lock.objects(owner=owner).update( - write_concern={"w": "majority", "fsync": True}, - read_concern={"level": "majority"}, - owner=None, - updated_at=get_datetime(), - ) - - -def release_lock(key: str) -> None: - """ - Release the lock for a specific key - - Args: - key (`str`): the lock key - """ - Lock.objects(key=key).update( - write_concern={"w": "majority", "fsync": True}, - read_concern={"level": "majority"}, - owner=None, - updated_at=get_datetime(), - ) - - @@ -1190,9 +924,0 @@ class Queue: - - -# only for the tests -def _clean_queue_database() -> None: - """Delete all the jobs in the database""" - JobDocument.drop_collection() # type: ignore - JobTotalMetricDocument.drop_collection() # type: ignore - WorkerSizeJobsCountDocument.drop_collection() # type: ignore - Lock.drop_collection() # type: ignore diff --git a/libs/libcommon/src/libcommon/queue/lock.py b/libs/libcommon/src/libcommon/queue/lock.py new file mode 100644 index 00000000..9c0cf54c --- /dev/null +++ b/libs/libcommon/src/libcommon/queue/lock.py @@ -0,0 +1,210 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import contextlib +import json +import logging +import time +import types +from collections.abc import Sequence +from enum import IntEnum +from types import TracebackType +from typing import Generic, Literal, Optional, TypeVar + +from mongoengine import Document +from mongoengine.errors import NotUniqueError +from mongoengine.fields import DateTimeField, IntField, StringField +from mongoengine.queryset.queryset import QuerySet + +from libcommon.constants import ( + LOCK_TTL_SECONDS_NO_OWNER, + LOCK_TTL_SECONDS_TO_START_JOB, + LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH, + QUEUE_COLLECTION_LOCKS, + QUEUE_MONGOENGINE_ALIAS, +) +from libcommon.utils import get_datetime + +# START monkey patching ### hack ### +# see https://github.com/sbdchd/mongo-types#install +U = TypeVar("U", bound=Document) + + +def no_op(self, _): # type: ignore + return self + + +QuerySet.__class_getitem__ = types.MethodType(no_op, QuerySet) + + +class QuerySetManager(Generic[U]): + def __get__(self, instance: object, cls: type[U]) -> QuerySet[U]: + return QuerySet(cls, cls._get_collection()) + + +# END monkey patching ### hack ### + + +class _TTL(IntEnum): + LOCK_TTL_SECONDS_TO_START_JOB = LOCK_TTL_SECONDS_TO_START_JOB + LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH = LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH + + +class Lock(Document): + meta = { + "collection": QUEUE_COLLECTION_LOCKS, + "db_alias": QUEUE_MONGOENGINE_ALIAS, + "indexes": [ + ("key", "owner"), + { + "name": "LOCK_TTL_SECONDS_NO_OWNER", + "fields": ["updated_at"], + "expireAfterSeconds": LOCK_TTL_SECONDS_NO_OWNER, + "partialFilterExpression": {"owner": None}, + }, + ] + + [ + { + "name": ttl.name, + "fields": ["updated_at"], + "expireAfterSeconds": ttl, + "partialFilterExpression": {"ttl": ttl}, + } + for ttl in _TTL + ], + } + + key = StringField(primary_key=True) + owner = StringField() + ttl = IntField() + job_id = StringField() # deprecated + + created_at = DateTimeField() + updated_at = DateTimeField() + + objects = QuerySetManager["Lock"]() + + +class lock(contextlib.AbstractContextManager["lock"]): + """ + Provides a simple way of inter-applications communication using a MongoDB lock. + + An example usage is to another worker of your application that a resource + or working directory is currently used in a job. + + Example of usage: + + ```python + key = json.dumps({"type": job.type, "dataset": job.dataset}) + with lock(key=key, owner=job.pk): + ... + ``` + + Or using a try/except: + + ```python + try: + key = json.dumps({"type": job.type, "dataset": job.dataset}) + lock(key=key, owner=job.pk).acquire() + except TimeoutError: + ... + ``` + """ + + TTL = _TTL + _default_sleeps = (0.05, 0.05, 0.05, 1, 1, 1, 5) + + def __init__( + self, key: str, owner: str, sleeps: Sequence[float] = _default_sleeps, ttl: Optional[_TTL] = None + ) -> None: + self.key = key + self.owner = owner + self.sleeps = sleeps + self.ttl = ttl + if ttl is not None and ttl not in list(self.TTL): + raise ValueError(f"The TTL value is not supported by the TTL index. It should be one of {list(self.TTL)}") + + def acquire(self) -> None: + for sleep in self.sleeps: + try: + Lock.objects(key=self.key, owner__in=[None, self.owner]).update( + upsert=True, + write_concern={"w": "majority", "fsync": True}, + read_concern={"level": "majority"}, + owner=self.owner, + updated_at=get_datetime(), + ttl=self.ttl, + ) + return + except NotUniqueError: + logging.debug(f"Sleep {sleep}s to acquire lock '{self.key}' for owner='{self.owner}'") + time.sleep(sleep) + raise TimeoutError("lock couldn't be acquired") + + def release(self) -> None: + Lock.objects(key=self.key, owner=self.owner).update( + write_concern={"w": "majority", "fsync": True}, + read_concern={"level": "majority"}, + owner=None, + updated_at=get_datetime(), + ) + + def __enter__(self) -> "lock": + self.acquire() + return self + + def __exit__( + self, exctype: Optional[type[BaseException]], excinst: Optional[BaseException], exctb: Optional[TracebackType] + ) -> Literal[False]: + self.release() + return False + + @classmethod + def git_branch( + cls, + dataset: str, + branch: str, + owner: str, + sleeps: Sequence[float] = _default_sleeps, + ) -> "lock": + """ + Lock a git branch of a dataset on the hub for read/write + + Args: + dataset (`str`): the dataset repository + branch (`str`): the branch to lock + owner (`str`): the current job id that holds the lock + sleeps (`Sequence[float]`, optional): the time in seconds to sleep between each attempt to acquire the lock + """ + key = json.dumps({"dataset": dataset, "branch": branch}) + return cls(key=key, owner=owner, sleeps=sleeps, ttl=_TTL.LOCK_TTL_SECONDS_TO_WRITE_ON_GIT_BRANCH) + + +def release_locks(owner: str) -> None: + """ + Release all locks owned by the given owner + + Args: + owner (`str`): the current owner that holds the locks + """ + Lock.objects(owner=owner).update( + write_concern={"w": "majority", "fsync": True}, + read_concern={"level": "majority"}, + owner=None, + updated_at=get_datetime(), + ) + + +def release_lock(key: str) -> None: + """ + Release the lock for a specific key + + Args: + key (`str`): the lock key + """ + Lock.objects(key=key).update( + write_concern={"w": "majority", "fsync": True}, + read_concern={"level": "majority"}, + owner=None, + updated_at=get_datetime(), + ) diff --git a/libs/libcommon/src/libcommon/queue/metrics.py b/libs/libcommon/src/libcommon/queue/metrics.py new file mode 100644 index 00000000..7e2fd239 --- /dev/null +++ b/libs/libcommon/src/libcommon/queue/metrics.py @@ -0,0 +1,136 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import types +from typing import Generic, TypeVar + +from bson import ObjectId +from mongoengine import Document +from mongoengine.fields import DateTimeField, EnumField, IntField, ObjectIdField, StringField +from mongoengine.queryset.queryset import QuerySet + +from libcommon.constants import ( + QUEUE_MONGOENGINE_ALIAS, + TYPE_AND_STATUS_JOB_COUNTS_COLLECTION, + WORKER_TYPE_JOB_COUNTS_COLLECTION, +) +from libcommon.dtos import Status, WorkerSize +from libcommon.utils import get_datetime + +# START monkey patching ### hack ### +# see https://github.com/sbdchd/mongo-types#install +U = TypeVar("U", bound=Document) + + +def no_op(self, _): # type: ignore + return self + + +QuerySet.__class_getitem__ = types.MethodType(no_op, QuerySet) + + +class QuerySetManager(Generic[U]): + def __get__(self, instance: object, cls: type[U]) -> QuerySet[U]: + return QuerySet(cls, cls._get_collection()) + + +class StartedJobError(Exception): + pass + + +# END monkey patching ### hack ### + + +DEFAULT_INCREASE_AMOUNT = 1 +DEFAULT_DECREASE_AMOUNT = -1 + + +class JobTotalMetricDocument(Document): + """Jobs total metric in mongoDB database, used to compute prometheus metrics. + + Args: + job_type (`str`): job type + status (`str`): job status see libcommon.queue.jobs.Status + total (`int`): total of jobs + created_at (`datetime`): when the metric has been created. + """ + + id = ObjectIdField(db_field="_id", primary_key=True, default=ObjectId) + job_type = StringField(required=True, unique_with="status") + status = StringField(required=True) + total = IntField(required=True, default=0) + created_at = DateTimeField(default=get_datetime) + + meta = { + "collection": TYPE_AND_STATUS_JOB_COUNTS_COLLECTION, + "db_alias": QUEUE_MONGOENGINE_ALIAS, + "indexes": [("job_type", "status")], + } + objects = QuerySetManager["JobTotalMetricDocument"]() + + +class WorkerSizeJobsCountDocument(Document): + """Metric that counts the number of (waiting) jobs per worker size. + + A worker size is defined by the job difficulties it handles. We hardcode + - light: difficulty <= 40 + - medium: 40 < difficulty <= 70 + - heavy: 70 < difficulty + + Args: + worker_size (`WorkerSize`): worker size + jobs_count (`int`): jobs count + created_at (`datetime`): when the metric has been created. + """ + + id = ObjectIdField(db_field="_id", primary_key=True, default=ObjectId) + worker_size = EnumField(WorkerSize, required=True, unique=True) + jobs_count = IntField(required=True, default=0) + created_at = DateTimeField(default=get_datetime) + + @staticmethod + def get_worker_size(difficulty: int) -> WorkerSize: + if difficulty <= 40: + return WorkerSize.light + if difficulty <= 70: + return WorkerSize.medium + return WorkerSize.heavy + + meta = { + "collection": WORKER_TYPE_JOB_COUNTS_COLLECTION, + "db_alias": QUEUE_MONGOENGINE_ALIAS, + "indexes": [("worker_size")], + } + objects = QuerySetManager["WorkerSizeJobsCountDocument"]() + + +def _update_metrics(job_type: str, status: str, increase_by: int, difficulty: int) -> None: + JobTotalMetricDocument.objects(job_type=job_type, status=status).update( + upsert=True, + write_concern={"w": "majority", "fsync": True}, + read_concern={"level": "majority"}, + inc__total=increase_by, + ) + if status == Status.WAITING: + worker_size = WorkerSizeJobsCountDocument.get_worker_size(difficulty=difficulty) + WorkerSizeJobsCountDocument.objects(worker_size=worker_size).update( + upsert=True, + write_concern={"w": "majority", "fsync": True}, + read_concern={"level": "majority"}, + inc__jobs_count=increase_by, + ) + + +def increase_metric(job_type: str, status: str, difficulty: int) -> None: + _update_metrics(job_type=job_type, status=status, increase_by=DEFAULT_INCREASE_AMOUNT, difficulty=difficulty) + + +def decrease_metric(job_type: str, status: str, difficulty: int) -> None: + _update_metrics(job_type=job_type, status=status, increase_by=DEFAULT_DECREASE_AMOUNT, difficulty=difficulty) + + +def update_metrics_for_type(job_type: str, previous_status: str, new_status: str, difficulty: int) -> None: + if job_type is not None: + decrease_metric(job_type=job_type, status=previous_status, difficulty=difficulty) + increase_metric(job_type=job_type, status=new_status, difficulty=difficulty) + # ^ this does not affect WorkerSizeJobsCountDocument, so we don't pass the job difficulty diff --git a/libs/libcommon/src/libcommon/queue/utils.py b/libs/libcommon/src/libcommon/queue/utils.py new file mode 100644 index 00000000..2a5e41a5 --- /dev/null +++ b/libs/libcommon/src/libcommon/queue/utils.py @@ -0,0 +1,15 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + +from .jobs import JobDocument +from .lock import Lock +from .metrics import JobTotalMetricDocument, WorkerSizeJobsCountDocument + + +# only for the tests +def _clean_queue_database() -> None: + """Delete all the jobs in the database""" + JobDocument.drop_collection() # type: ignore + JobTotalMetricDocument.drop_collection() # type: ignore + WorkerSizeJobsCountDocument.drop_collection() # type: ignore + Lock.drop_collection() # type: ignore diff --git a/libs/libcommon/tests/conftest.py b/libs/libcommon/tests/conftest.py index 8babd94b..f6966ad9 100644 --- a/libs/libcommon/tests/conftest.py +++ b/libs/libcommon/tests/conftest.py @@ -9 +9 @@ from libcommon.config import ParquetMetadataConfig -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/libs/libcommon/tests/queue/__init__.py b/libs/libcommon/tests/queue/__init__.py new file mode 100644 index 00000000..be63d975 --- /dev/null +++ b/libs/libcommon/tests/queue/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. diff --git a/libs/libcommon/tests/test_queue.py b/libs/libcommon/tests/queue/test_jobs.py similarity index 82% rename from libs/libcommon/tests/test_queue.py rename to libs/libcommon/tests/queue/test_jobs.py index a7b2617c..ee030bd4 100644 --- a/libs/libcommon/tests/test_queue.py +++ b/libs/libcommon/tests/queue/test_jobs.py @@ -4,4 +3,0 @@ -import json -import os -import random -import time @@ -9,2 +4,0 @@ from datetime import datetime, timedelta -from multiprocessing import Pool -from pathlib import Path @@ -19,9 +13,2 @@ from libcommon.dtos import Priority, Status, WorkerSize -from libcommon.queue import ( - EmptyQueueError, - JobDocument, - JobTotalMetricDocument, - Lock, - Queue, - WorkerSizeJobsCountDocument, - lock, -) +from libcommon.queue.jobs import EmptyQueueError, JobDocument, Queue +from libcommon.queue.metrics import JobTotalMetricDocument, WorkerSizeJobsCountDocument @@ -31 +18,11 @@ from libcommon.utils import get_datetime -from .utils import assert_metric, assert_worker_size_jobs_count + +def assert_metric_jobs_per_type(job_type: str, status: str, total: int) -> None: + metric = JobTotalMetricDocument.objects(job_type=job_type, status=status).first() + assert metric is not None + assert metric.total == total + + +def assert_metric_jobs_per_worker(worker_size: str, jobs_count: int) -> None: + metric = WorkerSizeJobsCountDocument.objects(worker_size=worker_size).first() + assert metric is not None, metric + assert metric.jobs_count == jobs_count, metric.jobs_count @@ -56,2 +53,2 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=1) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=1) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=1) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=1) @@ -62,2 +59,2 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=2) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=2) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=2) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=2) @@ -74,3 +71,3 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=0) - assert_metric(job_type=test_type, status=Status.STARTED, total=1) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.STARTED, total=1) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=0) @@ -85,3 +82,3 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=1) - assert_metric(job_type=test_type, status=Status.STARTED, total=1) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=1) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=1) + assert_metric_jobs_per_type(job_type=test_type, status=Status.STARTED, total=1) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=1) @@ -96,3 +93,3 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=1) - assert_metric(job_type=test_type, status=Status.STARTED, total=0) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=1) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=1) + assert_metric_jobs_per_type(job_type=test_type, status=Status.STARTED, total=0) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=1) @@ -103,3 +100,3 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=0) - assert_metric(job_type=test_type, status=Status.STARTED, total=1) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.STARTED, total=1) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=0) @@ -109,3 +106,3 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=0) - assert_metric(job_type=test_type, status=Status.STARTED, total=1) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.STARTED, total=1) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=0) @@ -115,3 +112,3 @@ def test_add_job() -> None: - assert_metric(job_type=test_type, status=Status.WAITING, total=0) - assert_metric(job_type=test_type, status=Status.STARTED, total=0) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=0) + assert_metric_jobs_per_type(job_type=test_type, status=Status.STARTED, total=0) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=0) @@ -148,2 +145,2 @@ def test_delete_waiting_jobs_by_job_id( - assert_metric(job_type=test_type, status=Status.WAITING, total=waiting_jobs) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=waiting_jobs) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=waiting_jobs) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=waiting_jobs) @@ -156,2 +153,2 @@ def test_delete_waiting_jobs_by_job_id( - assert_metric(job_type=test_type, status=Status.WAITING, total=len(all_jobs)) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=len(all_jobs)) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=len(all_jobs)) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=len(all_jobs)) @@ -160,3 +157,3 @@ def test_delete_waiting_jobs_by_job_id( - assert_metric(job_type=test_type, status=Status.WAITING, total=len(all_jobs) - 1) - assert_metric(job_type=test_type, status=Status.STARTED, total=1) - assert_worker_size_jobs_count(worker_size=WorkerSize.medium, jobs_count=len(all_jobs) - 1) + assert_metric_jobs_per_type(job_type=test_type, status=Status.WAITING, total=len(all_jobs) - 1) + assert_metric_jobs_per_type(job_type=test_type, status=Status.STARTED, total=1) + assert_metric_jobs_per_worker(worker_size=WorkerSize.medium, jobs_count=len(all_jobs) - 1) @@ -525 +522 @@ def test_queue_get_zombies() -> None: - with patch("libcommon.queue.get_datetime", get_old_datetime): + with patch("libcommon.queue.jobs.get_datetime", get_old_datetime): @@ -550,62 +546,0 @@ def test_queue_get_zombies() -> None: -def random_sleep() -> None: - MAX_SLEEP_MS = 40 - time.sleep(MAX_SLEEP_MS / 1000 * random.random()) - - -def increment(tmp_file: Path) -> None: - random_sleep() - with open(tmp_file, "r") as f: - current = int(f.read() or 0) - random_sleep() - with open(tmp_file, "w") as f: - f.write(str(current + 1)) - random_sleep() - - -def locked_increment(tmp_file: Path) -> None: - sleeps = [0.05, 0.05, 0.05, 1, 1, 1, 1, 1, 1, 5, 5, 5, 5] - with lock(key="test_lock", owner=str(os.getpid()), sleeps=sleeps): - increment(tmp_file) - - -def test_lock(tmp_path_factory: pytest.TempPathFactory, queue_mongo_resource: QueueMongoResource) -> None: - tmp_file = Path(tmp_path_factory.mktemp("test_lock") / "tmp.txt") - tmp_file.touch() - max_parallel_jobs = 4 - num_jobs = 42 - - with Pool(max_parallel_jobs, initializer=queue_mongo_resource.allocate) as pool: - pool.map(locked_increment, [tmp_file] * num_jobs) - - expected = num_jobs - with open(tmp_file, "r") as f: - assert int(f.read()) == expected - Lock.objects(key="test_lock").delete() - - -def git_branch_locked_increment(tmp_file: Path) -> None: - sleeps = [0.05, 0.05, 0.05, 1, 1, 1, 1, 1, 1, 5, 5, 5, 5] - dataset = "dataset" - branch = "refs/convert/parquet" - with lock.git_branch(dataset=dataset, branch=branch, owner=str(os.getpid()), sleeps=sleeps): - increment(tmp_file) - - -def test_lock_git_branch(tmp_path_factory: pytest.TempPathFactory, queue_mongo_resource: QueueMongoResource) -> None: - tmp_file = Path(tmp_path_factory.mktemp("test_lock") / "tmp.txt") - tmp_file.touch() - max_parallel_jobs = 5 - num_jobs = 43 - - with Pool(max_parallel_jobs, initializer=queue_mongo_resource.allocate) as pool: - pool.map(git_branch_locked_increment, [tmp_file] * num_jobs) - - expected = num_jobs - with open(tmp_file, "r") as f: - assert int(f.read()) == expected - assert Lock.objects().count() == 1 - assert Lock.objects().get().key == json.dumps({"dataset": "dataset", "branch": "refs/convert/parquet"}) - assert Lock.objects().get().owner is None - Lock.objects().delete() - - @@ -693,5 +627,0 @@ def test_delete_dataset_waiting_jobs(queue_mongo_resource: QueueMongoResource) - - assert len(Lock.objects()) == 2 - assert len(Lock.objects(key=f"{job_type_1},{dataset},{revision}", owner=None)) == 1 - assert len(Lock.objects(key=f"{job_type_1},{dataset},{revision}", owner__ne=None)) == 0 - # ^ does not test much, because at that time, the lock should already have been released - diff --git a/libs/libcommon/tests/queue/test_lock.py b/libs/libcommon/tests/queue/test_lock.py new file mode 100644 index 00000000..ea9cc2c3 --- /dev/null +++ b/libs/libcommon/tests/queue/test_lock.py @@ -0,0 +1,81 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import json +import os +import random +import time +from multiprocessing import Pool +from pathlib import Path + +import pytest + +from libcommon.queue.lock import Lock, lock +from libcommon.resources import QueueMongoResource + + [email protected](autouse=True) +def queue_mongo_resource_autouse(queue_mongo_resource: QueueMongoResource) -> QueueMongoResource: + return queue_mongo_resource + + +def random_sleep() -> None: + MAX_SLEEP_MS = 40 + time.sleep(MAX_SLEEP_MS / 1000 * random.random()) + + +def increment(tmp_file: Path) -> None: + random_sleep() + with open(tmp_file, "r") as f: + current = int(f.read() or 0) + random_sleep() + with open(tmp_file, "w") as f: + f.write(str(current + 1)) + random_sleep() + + +def locked_increment(tmp_file: Path) -> None: + sleeps = [0.05, 0.05, 0.05, 1, 1, 1, 1, 1, 1, 5, 5, 5, 5] + with lock(key="test_lock", owner=str(os.getpid()), sleeps=sleeps): + increment(tmp_file) + + +def test_lock(tmp_path_factory: pytest.TempPathFactory, queue_mongo_resource: QueueMongoResource) -> None: + tmp_file = Path(tmp_path_factory.mktemp("test_lock") / "tmp.txt") + tmp_file.touch() + max_parallel_jobs = 4 + num_jobs = 42 + + with Pool(max_parallel_jobs, initializer=queue_mongo_resource.allocate) as pool: + pool.map(locked_increment, [tmp_file] * num_jobs) + + expected = num_jobs + with open(tmp_file, "r") as f: + assert int(f.read()) == expected + Lock.objects(key="test_lock").delete() + + +def git_branch_locked_increment(tmp_file: Path) -> None: + sleeps = [0.05, 0.05, 0.05, 1, 1, 1, 1, 1, 1, 5, 5, 5, 5] + dataset = "dataset" + branch = "refs/convert/parquet" + with lock.git_branch(dataset=dataset, branch=branch, owner=str(os.getpid()), sleeps=sleeps): + increment(tmp_file) + + +def test_lock_git_branch(tmp_path_factory: pytest.TempPathFactory, queue_mongo_resource: QueueMongoResource) -> None: + tmp_file = Path(tmp_path_factory.mktemp("test_lock") / "tmp.txt") + tmp_file.touch() + max_parallel_jobs = 5 + num_jobs = 43 + + with Pool(max_parallel_jobs, initializer=queue_mongo_resource.allocate) as pool: + pool.map(git_branch_locked_increment, [tmp_file] * num_jobs) + + expected = num_jobs + with open(tmp_file, "r") as f: + assert int(f.read()) == expected + assert Lock.objects().count() == 1 + assert Lock.objects().get().key == json.dumps({"dataset": "dataset", "branch": "refs/convert/parquet"}) + assert Lock.objects().get().owner is None + Lock.objects().delete() diff --git a/libs/libcommon/tests/queue/test_metrics.py b/libs/libcommon/tests/queue/test_metrics.py new file mode 100644 index 00000000..1e9d0c5a --- /dev/null +++ b/libs/libcommon/tests/queue/test_metrics.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/libs/libcommon/tests/test_backfill.py b/libs/libcommon/tests/test_backfill.py index bebe67c8..9ff7e00b 100644 --- a/libs/libcommon/tests/test_backfill.py +++ b/libs/libcommon/tests/test_backfill.py @@ -13 +13 @@ from libcommon.processing_graph import ProcessingGraph -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/libs/libcommon/tests/test_backfill_on_real_graph.py b/libs/libcommon/tests/test_backfill_on_real_graph.py index 753cbe44..372e2a81 100644 --- a/libs/libcommon/tests/test_backfill_on_real_graph.py +++ b/libs/libcommon/tests/test_backfill_on_real_graph.py @@ -10 +10 @@ from libcommon.processing_graph import processing_graph, specification -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/libs/libcommon/tests/test_operations.py b/libs/libcommon/tests/test_operations.py index 2e1ff101..3f724a4b 100644 --- a/libs/libcommon/tests/test_operations.py +++ b/libs/libcommon/tests/test_operations.py @@ -34 +34 @@ from libcommon.processing_graph import specification -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/libs/libcommon/tests/test_orchestrator.py b/libs/libcommon/tests/test_orchestrator.py index 298b0b52..4453fbe1 100644 --- a/libs/libcommon/tests/test_orchestrator.py +++ b/libs/libcommon/tests/test_orchestrator.py @@ -17 +17 @@ from libcommon.processing_graph import Artifact, ProcessingGraph -from libcommon.queue import JobDocument, Queue +from libcommon.queue.jobs import JobDocument, Queue diff --git a/libs/libcommon/tests/test_prometheus.py b/libs/libcommon/tests/test_prometheus.py index 6a2f6899..03317a9f 100644 --- a/libs/libcommon/tests/test_prometheus.py +++ b/libs/libcommon/tests/test_prometheus.py @@ -18 +18 @@ from libcommon.prometheus import ( -from libcommon.queue import JobTotalMetricDocument, WorkerSizeJobsCountDocument +from libcommon.queue.metrics import JobTotalMetricDocument, WorkerSizeJobsCountDocument diff --git a/libs/libcommon/tests/test_simple_cache.py b/libs/libcommon/tests/test_simple_cache.py index cb0fa34c..11ad0d32 100644 --- a/libs/libcommon/tests/test_simple_cache.py +++ b/libs/libcommon/tests/test_simple_cache.py @@ -121 +121 @@ def test_insert_null_values() -> None: -def assert_metric(http_status: HTTPStatus, error_code: Optional[str], kind: str, total: int) -> None: +def assert_metric_entries_per_kind(http_status: HTTPStatus, error_code: Optional[str], kind: str, total: int) -> None: @@ -173 +173 @@ def test_upsert_response(config: Optional[str], split: Optional[str]) -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=1) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=1) @@ -188 +188 @@ def test_upsert_response(config: Optional[str], split: Optional[str]) -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=1) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=1) @@ -202 +202 @@ def test_upsert_response(config: Optional[str], split: Optional[str]) -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=2) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=2) @@ -206 +206 @@ def test_upsert_response(config: Optional[str], split: Optional[str]) -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=0) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=0) @@ -225,2 +225,2 @@ def test_upsert_response(config: Optional[str], split: Optional[str]) -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=0) - assert_metric(http_status=HTTPStatus.BAD_REQUEST, error_code=error_code, kind=kind, total=1) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=0) + assert_metric_entries_per_kind(http_status=HTTPStatus.BAD_REQUEST, error_code=error_code, kind=kind, total=1) @@ -294 +294 @@ def test_delete_response() -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=2) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=2) @@ -299 +299 @@ def test_delete_response() -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=1) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind, total=1) @@ -337,2 +337,2 @@ def test_delete_dataset_responses() -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind_a, total=2) - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind_b, total=1) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind_a, total=2) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind_b, total=1) @@ -343,2 +343,2 @@ def test_delete_dataset_responses() -> None: - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind_a, total=1) - assert_metric(http_status=HTTPStatus.OK, error_code=None, kind=kind_b, total=0) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind_a, total=1) + assert_metric_entries_per_kind(http_status=HTTPStatus.OK, error_code=None, kind=kind_b, total=0) diff --git a/libs/libcommon/tests/test_state.py b/libs/libcommon/tests/test_state.py index b63a2967..43a49ec8 100644 --- a/libs/libcommon/tests/test_state.py +++ b/libs/libcommon/tests/test_state.py @@ -9 +9 @@ import pytest -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/libs/libcommon/tests/utils.py b/libs/libcommon/tests/utils.py index 2682d9ac..3bfc79f5 100644 --- a/libs/libcommon/tests/utils.py +++ b/libs/libcommon/tests/utils.py @@ -15 +15 @@ from libcommon.processing_graph import Artifact, ProcessingGraph -from libcommon.queue import JobTotalMetricDocument, Queue, WorkerSizeJobsCountDocument +from libcommon.queue.jobs import Queue @@ -381,12 +380,0 @@ def artifact_id_to_job_info(artifact_id: str) -> JobInfo: -def assert_metric(job_type: str, status: str, total: int) -> None: - metric = JobTotalMetricDocument.objects(job_type=job_type, status=status).first() - assert metric is not None - assert metric.total == total - - -def assert_worker_size_jobs_count(worker_size: str, jobs_count: int) -> None: - metric = WorkerSizeJobsCountDocument.objects(worker_size=worker_size).first() - assert metric is not None, metric - assert metric.jobs_count == jobs_count, metric.jobs_count - - diff --git a/libs/libcommon/tests/viewer_utils/__init__.py b/libs/libcommon/tests/viewer_utils/__init__.py index e69de29b..be63d975 100644 --- a/libs/libcommon/tests/viewer_utils/__init__.py +++ b/libs/libcommon/tests/viewer_utils/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. diff --git a/services/admin/src/admin/routes/dataset_status.py b/services/admin/src/admin/routes/dataset_status.py index f98cd62e..89c5dd1f 100644 --- a/services/admin/src/admin/routes/dataset_status.py +++ b/services/admin/src/admin/routes/dataset_status.py @@ -11 +11 @@ from libcommon.processing_graph import processing_graph -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/services/admin/src/admin/routes/force_refresh.py b/services/admin/src/admin/routes/force_refresh.py index 8ae0678c..47e086f9 100644 --- a/services/admin/src/admin/routes/force_refresh.py +++ b/services/admin/src/admin/routes/force_refresh.py @@ -25 +25 @@ from libcommon.processing_graph import InputType, processing_graph -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/services/admin/src/admin/routes/pending_jobs.py b/services/admin/src/admin/routes/pending_jobs.py index 3166b006..8ecb160c 100644 --- a/services/admin/src/admin/routes/pending_jobs.py +++ b/services/admin/src/admin/routes/pending_jobs.py @@ -10 +10 @@ from libcommon.processing_graph import processing_graph -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/services/admin/tests/conftest.py b/services/admin/tests/conftest.py index 0cac3716..7cbbf8f5 100644 --- a/services/admin/tests/conftest.py +++ b/services/admin/tests/conftest.py @@ -6 +6 @@ from collections.abc import Iterator -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/services/admin/tests/routes/test_recreate_dataset.py b/services/admin/tests/routes/test_recreate_dataset.py index 2655a635..2968687c 100644 --- a/services/admin/tests/routes/test_recreate_dataset.py +++ b/services/admin/tests/routes/test_recreate_dataset.py @@ -11 +11 @@ from libcommon.dtos import Priority, Status -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/services/api/tests/conftest.py b/services/api/tests/conftest.py index 71978c39..f30c9b90 100644 --- a/services/api/tests/conftest.py +++ b/services/api/tests/conftest.py @@ -9 +9 @@ from libcommon.processing_graph import processing_graph -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/services/rows/tests/conftest.py b/services/rows/tests/conftest.py index 60359edf..3b9d8537 100644 --- a/services/rows/tests/conftest.py +++ b/services/rows/tests/conftest.py @@ -7 +7 @@ from libapi.config import UvicornConfig -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/services/search/tests/conftest.py b/services/search/tests/conftest.py index 198969f1..7ff771bd 100644 --- a/services/search/tests/conftest.py +++ b/services/search/tests/conftest.py @@ -7 +7 @@ from libapi.config import UvicornConfig -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/services/webhook/tests/conftest.py b/services/webhook/tests/conftest.py index 09e5d585..36aababd 100644 --- a/services/webhook/tests/conftest.py +++ b/services/webhook/tests/conftest.py @@ -8 +8 @@ from libapi.config import UvicornConfig -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database diff --git a/services/worker/src/worker/executor.py b/services/worker/src/worker/executor.py index 10b61959..8350919c 100644 --- a/services/worker/src/worker/executor.py +++ b/services/worker/src/worker/executor.py @@ -15 +15 @@ from filelock import FileLock -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue 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 536f7188..857f907e 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 @@ -84 +84 @@ from libcommon.parquet_utils import PART_SUFFIX, PARTIAL_PREFIX -from libcommon.queue import lock +from libcommon.queue.lock import lock 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 c21a6dd9..3863c24d 100644 --- a/services/worker/src/worker/job_runners/split/duckdb_index.py +++ b/services/worker/src/worker/job_runners/split/duckdb_index.py @@ -37 +37 @@ from libcommon.parquet_utils import ( -from libcommon.queue import lock +from libcommon.queue.lock import lock diff --git a/services/worker/src/worker/loop.py b/services/worker/src/worker/loop.py index 9b4bc7f1..084158ca 100644 --- a/services/worker/src/worker/loop.py +++ b/services/worker/src/worker/loop.py @@ -15 +15 @@ from libcommon.prometheus import LongStepProfiler, StepProfiler -from libcommon.queue import ( +from libcommon.queue.jobs import ( diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py index 3ae4f9ec..dd397b98 100644 --- a/services/worker/tests/conftest.py +++ b/services/worker/tests/conftest.py @@ -7 +7 @@ from pathlib import Path -from libcommon.queue import _clean_queue_database +from libcommon.queue.utils import _clean_queue_database 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 04248b87..c9b6cbb8 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 @@ -34 +34 @@ from libcommon.exceptions import ( -from libcommon.queue import Queue +from libcommon.queue.jobs import Queue diff --git a/services/worker/tests/test_executor.py b/services/worker/tests/test_executor.py index 727525de..98c40070 100644 --- a/services/worker/tests/test_executor.py +++ b/services/worker/tests/test_executor.py @@ -15 +15 @@ from libcommon.dtos import JobInfo, Priority, Status -from libcommon.queue import JobDocument, JobDoesNotExistError, Queue +from libcommon.queue.jobs import JobDocument, JobDoesNotExistError, Queue diff --git a/services/worker/tests/test_job_manager.py b/services/worker/tests/test_job_manager.py index 0c5235ee..b60b61ed 100644 --- a/services/worker/tests/test_job_manager.py +++ b/services/worker/tests/test_job_manager.py @@ -6 +6 @@ from libcommon.processing_graph import processing_graph -from libcommon.queue import JobDocument, Queue +from libcommon.queue.jobs import JobDocument, Queue
e08610082aa06a949905639110929ab6ad6a9bf5	Sylvain Lesage	[email protected]	2024-06-20T09:18:08	Use current priority for children jobs (#2929)	diff --git a/libs/libcommon/src/libcommon/orchestrator.py b/libs/libcommon/src/libcommon/orchestrator.py index 360ce645..93a3ffcb 100644 --- a/libs/libcommon/src/libcommon/orchestrator.py +++ b/libs/libcommon/src/libcommon/orchestrator.py @@ -905 +905,4 @@ def finish_job( - Queue().finish_job(job_id=job_info["job_id"]) + job_priority = Queue().finish_job(job_id=job_info["job_id"]) + if job_priority: + job_info["priority"] = job_priority + # ^ change the priority of children jobs if the priority was updated during the job diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py index cc2df4ff..fb642cc1 100644 --- a/libs/libcommon/src/libcommon/queue.py +++ b/libs/libcommon/src/libcommon/queue.py @@ -950 +950 @@ class Queue: - def finish_job(self, job_id: str) -> bool: + def finish_job(self, job_id: str) -> Optional[Priority]: @@ -960,2 +960 @@ class Queue: - `bool`: whether the job existed, and had the expected format (STARTED status, non-empty started_at) - before finishing + `Priority`, optional: the priority of the job, if the job was successfully finished. @@ -967 +966 @@ class Queue: - return False + return None @@ -970 +969 @@ class Queue: - return False + return None @@ -971,0 +971 @@ class Queue: + job_priority = job.priority @@ -975 +975 @@ class Queue: - return True + return job_priority diff --git a/libs/libcommon/tests/test_orchestrator.py b/libs/libcommon/tests/test_orchestrator.py index 06c30a24..298b0b52 100644 --- a/libs/libcommon/tests/test_orchestrator.py +++ b/libs/libcommon/tests/test_orchestrator.py @@ -204,0 +205,47 @@ def test_finish_job( [email protected]( + "processing_graph,artifacts_to_create", + [ + (PROCESSING_GRAPH_FAN_IN_OUT, [ARTIFACT_CA_1, ARTIFACT_CA_2]), + ], +) +def test_finish_job_priority_update( + processing_graph: ProcessingGraph, + artifacts_to_create: list[str], +) -> None: + Queue().add_job( + dataset=DATASET_NAME, + revision=REVISION_NAME, + config=None, + split=None, + job_type=STEP_DA, + priority=Priority.NORMAL, + difficulty=DIFFICULTY, + ) + job_info = Queue().start_job() + job_result = JobResult( + job_info=job_info, + job_runner_version=JOB_RUNNER_VERSION, + is_success=True, + output=JobOutput( + content=CONFIG_NAMES_CONTENT, + http_status=HTTPStatus.OK, + error_code=None, + details=None, + progress=1.0, + ), + ) + # update the priority of the started job before it finishes + JobDocument(dataset=DATASET_NAME, pk=job_info["job_id"]).update(priority=Priority.HIGH) + # then finish + finish_job(job_result=job_result, processing_graph=processing_graph) + + assert JobDocument.objects(dataset=DATASET_NAME).count() == len(artifacts_to_create) + + done_job = JobDocument.objects(dataset=DATASET_NAME, status=Status.STARTED) + assert done_job.count() == 0 + + waiting_jobs = JobDocument.objects(dataset=DATASET_NAME, status=Status.WAITING) + assert waiting_jobs.count() == len(artifacts_to_create) + assert all(job.priority == Priority.HIGH for job in waiting_jobs) + +
cdf67f762bfbec3c0762b311e8650f6d5d76afeb	Sylvain Lesage	[email protected]	2024-06-20T09:17:52	only raise error in config-is-valid if format is bad (#2926)	diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index 50ed9416..91a92920 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -604 +604 @@ specification: ProcessingGraphSpecification = { - "job_runner_version": 3, + "job_runner_version": 4, diff --git a/services/worker/src/worker/job_runners/config/is_valid.py b/services/worker/src/worker/job_runners/config/is_valid.py index 9ebdb498..cfe75a53 100644 --- a/services/worker/src/worker/job_runners/config/is_valid.py +++ b/services/worker/src/worker/job_runners/config/is_valid.py @@ -43,0 +44,14 @@ def compute_is_valid_response(dataset: str, config: str) -> tuple[IsValidRespons + + try: + split_names = get_split_names(dataset=dataset, config=config) + except PreviousStepFormatError: + # If the previous step did not return the expected content, we raise the error + raise + except Exception: + logging.debug( + "Erroneous response, or no response found, in previous step for this dataset: 'config-split-names'." + ) + return IsValidResponse( + preview=preview, viewer=viewer, search=search, filter=filter, statistics=statistics + ), 0.0 + @@ -47 +61 @@ def compute_is_valid_response(dataset: str, config: str) -> tuple[IsValidRespons - for split in get_split_names(dataset=dataset, config=config): + for split in split_names: diff --git a/services/worker/tests/job_runners/config/test_is_valid.py b/services/worker/tests/job_runners/config/test_is_valid.py index 48adf663..d3cb6229 100644 --- a/services/worker/tests/job_runners/config/test_is_valid.py +++ b/services/worker/tests/job_runners/config/test_is_valid.py @@ -44,0 +45,16 @@ UPSTREAM_RESPONSE_SPLIT_NAMES: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_SPLIT_NAMES_ERROR: UpstreamResponse = UpstreamResponse( + kind="config-split-names", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + config=CONFIG, + http_status=HTTPStatus.INTERNAL_SERVER_ERROR, + content={}, +) +UPSTREAM_RESPONSE_SPLIT_NAMES_BAD_FORMAT: UpstreamResponse = UpstreamResponse( + kind="config-split-names", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + config=CONFIG, + http_status=HTTPStatus.OK, + content={"bad": "format"}, +) @@ -53,0 +70,9 @@ UPSTREAM_RESPONSE_SPLIT_1_OK: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_SPLIT_1_BAD_FORMAT: UpstreamResponse = UpstreamResponse( + kind="split-is-valid", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + config=CONFIG, + split=SPLIT_1, + http_status=HTTPStatus.OK, + content={"bad": "format"}, +) @@ -162,0 +188 @@ def get_job_runner( + UPSTREAM_RESPONSE_SPLIT_NAMES, @@ -169,0 +196 @@ def get_job_runner( + UPSTREAM_RESPONSE_SPLIT_NAMES, @@ -175,0 +203 @@ def get_job_runner( + UPSTREAM_RESPONSE_SPLIT_NAMES, @@ -181 +209,8 @@ def get_job_runner( - ([UPSTREAM_RESPONSE_SPLIT_1_OK_VIEWER, UPSTREAM_RESPONSE_SPLIT_2_OK_SEARCH], EXPECTED_ALL_MIXED), + ( + [UPSTREAM_RESPONSE_SPLIT_NAMES, UPSTREAM_RESPONSE_SPLIT_1_OK_VIEWER, UPSTREAM_RESPONSE_SPLIT_2_OK_SEARCH], + EXPECTED_ALL_MIXED, + ), + ( + [UPSTREAM_RESPONSE_SPLIT_NAMES], + EXPECTED_PENDING_ALL_FALSE, + ), @@ -185,0 +221,4 @@ def get_job_runner( + ( + [UPSTREAM_RESPONSE_SPLIT_NAMES_ERROR], + EXPECTED_PENDING_ALL_FALSE, + ), @@ -195 +233,0 @@ def test_compute( - upsert_response(UPSTREAM_RESPONSE_SPLIT_NAMES) @@ -201,0 +240,20 @@ def test_compute( + + [email protected]( + "upstream_responses", + [ + ([UPSTREAM_RESPONSE_SPLIT_NAMES_BAD_FORMAT]), + ([UPSTREAM_RESPONSE_SPLIT_NAMES, UPSTREAM_RESPONSE_SPLIT_1_BAD_FORMAT]), + ], +) +def test_compute_raises( + app_config: AppConfig, + get_job_runner: GetJobRunner, + upstream_responses: list[UpstreamResponse], +) -> None: + dataset, config = DATASET, CONFIG + for upstream_response in upstream_responses: + upsert_response(upstream_response) + job_runner = get_job_runner(dataset, config, app_config) + with pytest.raises(Exception): + job_runner.compute() diff --git a/services/worker/tests/job_runners/dataset/test_is_valid.py b/services/worker/tests/job_runners/dataset/test_is_valid.py index 72af6690..3a2821bc 100644 --- a/services/worker/tests/job_runners/dataset/test_is_valid.py +++ b/services/worker/tests/job_runners/dataset/test_is_valid.py @@ -49,0 +50,14 @@ UPSTREAM_RESPONSE_CONFIG_NAMES_EMPTY: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_CONFIG_NAMES_ERROR: UpstreamResponse = UpstreamResponse( + kind="dataset-config-names", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.INTERNAL_SERVER_ERROR, + content={}, +) +UPSTREAM_RESPONSE_CONFIG_NAMES_BAD_FORMAT: UpstreamResponse = UpstreamResponse( + kind="dataset-config-names", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={"bad": "format"}, +) @@ -57,0 +72,8 @@ UPSTREAM_RESPONSE_CONFIG_1_OK: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_CONFIG_1_BAD_FORMAT: UpstreamResponse = UpstreamResponse( + kind="config-is-valid", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + config=CONFIG_1, + http_status=HTTPStatus.OK, + content={"bad": "format"}, +) @@ -185,0 +208,4 @@ def get_job_runner( + ( + [UPSTREAM_RESPONSE_CONFIG_NAMES], + EXPECTED_PENDING_ALL_FALSE, + ), @@ -188,0 +215 @@ def get_job_runner( + ([UPSTREAM_RESPONSE_CONFIG_NAMES_ERROR], EXPECTED_PENDING_ALL_FALSE), @@ -203,0 +231,20 @@ def test_compute( + + [email protected]( + "upstream_responses", + [ + ([UPSTREAM_RESPONSE_CONFIG_NAMES_BAD_FORMAT]), + ([UPSTREAM_RESPONSE_CONFIG_NAMES, UPSTREAM_RESPONSE_CONFIG_1_BAD_FORMAT]), + ], +) +def test_compute_raises( + app_config: AppConfig, + get_job_runner: GetJobRunner, + upstream_responses: list[UpstreamResponse], +) -> None: + dataset = DATASET + for upstream_response in upstream_responses: + upsert_response(**upstream_response) + job_runner = get_job_runner(dataset, app_config) + with pytest.raises(Exception): + job_runner.compute()
8c7c81e00879840cddf7f3de283f9bad45999c92	Quentin Lhoest	[email protected]	2024-06-19T15:30:06	Fix estimate info allow_list (#2923)	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 684555fc..536f7188 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 @@ -936 +936 @@ class track_reads: - allow_list = ["hf://datasets/allenai/c4/", "hf://datasets/datasets-maintainers/"] + allow_list = ["hf://datasets/allenai/c4", "hf://datasets/datasets-maintainers/"]
eca30dbe8e478aa7e73c38c5da65c40ffbe8d2da	Sylvain Lesage	[email protected]	2024-06-19T15:09:00	Do not propagate error for is valid and hub cache (#2919)	diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index 81b321a2..50ed9416 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -613 +613 @@ specification: ProcessingGraphSpecification = { - "job_runner_version": 7, + "job_runner_version": 8, @@ -700 +700 @@ specification: ProcessingGraphSpecification = { - "job_runner_version": 2, + "job_runner_version": 3, diff --git a/services/worker/src/worker/job_runners/dataset/hub_cache.py b/services/worker/src/worker/job_runners/dataset/hub_cache.py index f47b5b9d..ee5968a6 100644 --- a/services/worker/src/worker/job_runners/dataset/hub_cache.py +++ b/services/worker/src/worker/job_runners/dataset/hub_cache.py @@ -4,0 +5 @@ import logging +from typing import Optional @@ -39,14 +40,22 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f - is_valid_response = get_previous_step_or_raise(kind="dataset-is-valid", dataset=dataset) - content = is_valid_response["content"] - if ( - "preview" not in content - or not isinstance(content["preview"], bool) - or "viewer" not in content - or not isinstance(content["viewer"], bool) - ): - raise PreviousStepFormatError( - "Previous step 'dataset-is-valid' did not return the expected content: 'preview', 'viewer' or 'progress'." - ) - preview = content["preview"] - viewer = content["viewer"] - is_valid_progress = is_valid_response["progress"] + preview = False + viewer = False + progresses: list[Optional[float]] = [] + try: + is_valid_response = get_previous_step_or_raise(kind="dataset-is-valid", dataset=dataset) + content = is_valid_response["content"] + if ( + "preview" not in content + or not isinstance(content["preview"], bool) + or "viewer" not in content + or not isinstance(content["viewer"], bool) + ): + raise PreviousStepFormatError( + "Previous step 'dataset-is-valid' did not return the expected content: 'preview', 'viewer' or 'progress'." + ) + preview = content["preview"] + viewer = content["viewer"] + progresses.append(is_valid_response["progress"]) + except PreviousStepFormatError: + raise + except Exception: + logging.info(f"Missing 'dataset-is-valid' response for {dataset=}. We let the fields empty.") @@ -53,0 +63,2 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f + partial = False + num_rows: Optional[int] = None @@ -70,2 +81,2 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f - size_progress = size_response["progress"] - except (CachedArtifactNotFoundError, PreviousStepFormatError): + progresses.append(size_response["progress"]) + except PreviousStepFormatError: @@ -74,5 +85 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f - partial = False - num_rows = None - size_progress = 0.0 - - progress = min((p for p in [is_valid_progress, size_progress] if p is not None), default=0.0) + logging.info(f"Missing 'dataset-size' response for {dataset=}. We let the fields empty.") @@ -91,0 +99 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f + progresses.append(compatible_libraries_response["progress"]) @@ -103,0 +112 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f + progresses.append(modalities_response["progress"]) @@ -124 +133 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f - progress, + min([0.0 if p is None else p for p in progresses], default=0.0), diff --git a/services/worker/src/worker/job_runners/dataset/is_valid.py b/services/worker/src/worker/job_runners/dataset/is_valid.py index 9b61636b..34e48be4 100644 --- a/services/worker/src/worker/job_runners/dataset/is_valid.py +++ b/services/worker/src/worker/job_runners/dataset/is_valid.py @@ -34,5 +33,0 @@ def compute_is_valid_response(dataset: str) -> tuple[IsValidResponse, float]: - config_names_response = get_previous_step_or_raise(kind="dataset-config-names", dataset=dataset) - content = config_names_response["content"] - if "config_names" not in content: - raise PreviousStepFormatError("Previous step did not return the expected content: 'config_names'.") - @@ -43,0 +39,12 @@ def compute_is_valid_response(dataset: str) -> tuple[IsValidResponse, float]: + + try: + config_names_response = get_previous_step_or_raise(kind="dataset-config-names", dataset=dataset) + except Exception: + return ( + IsValidResponse(preview=preview, viewer=viewer, search=search, filter=filter, statistics=statistics), + 0.0, + ) + content = config_names_response["content"] + if "config_names" not in content: + raise PreviousStepFormatError("Previous step did not return the expected content: 'config_names'.") + diff --git a/services/worker/tests/job_runners/dataset/test_hub_cache.py b/services/worker/tests/job_runners/dataset/test_hub_cache.py index cd29c4de..6eb57cb3 100644 --- a/services/worker/tests/job_runners/dataset/test_hub_cache.py +++ b/services/worker/tests/job_runners/dataset/test_hub_cache.py @@ -11 +11 @@ from libcommon.resources import CacheMongoResource, QueueMongoResource -from libcommon.simple_cache import CachedArtifactError, CachedArtifactNotFoundError, upsert_response +from libcommon.simple_cache import upsert_response @@ -105 +105 @@ UPSTREAM_RESPONSE_MODALITIES_ERROR: UpstreamResponse = UpstreamResponse( -EXPECTED_OK: tuple[DatasetHubCacheResponse, float] = ( +EXPECTED_ALL_OK: tuple[DatasetHubCacheResponse, float] = ( @@ -111,4 +111,4 @@ EXPECTED_OK: tuple[DatasetHubCacheResponse, float] = ( - "tags": [], - "libraries": [], - "modalities": [], - "formats": [], + "tags": [TAG], + "libraries": [LIBRARY], + "modalities": [MODALITY], + "formats": [FORMAT], @@ -118 +118 @@ EXPECTED_OK: tuple[DatasetHubCacheResponse, float] = ( -EXPECTED_NO_PROGRESS: tuple[DatasetHubCacheResponse, float] = ( +EXPECTED_IS_VALID_AND_SIZE: tuple[DatasetHubCacheResponse, float] = ( @@ -122 +122 @@ EXPECTED_NO_PROGRESS: tuple[DatasetHubCacheResponse, float] = ( - "partial": True, + "partial": False, @@ -129 +129 @@ EXPECTED_NO_PROGRESS: tuple[DatasetHubCacheResponse, float] = ( - 0.5, + 0.2, @@ -142 +142 @@ EXPECTED_NO_SIZE: tuple[DatasetHubCacheResponse, float] = ( - 0.0, + 0.5, @@ -148 +148 @@ EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS: tuple[DatasetHubCacheResponse, float] = - "partial": True, + "partial": False, @@ -155 +155 @@ EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS: tuple[DatasetHubCacheResponse, float] = - 0.5, + 0.2, @@ -157 +157 @@ EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS: tuple[DatasetHubCacheResponse, float] = -EXPECTED_OK_WITH_MODALITIES: tuple[DatasetHubCacheResponse, float] = ( +EXPECTED_NO_PROGRESS: tuple[DatasetHubCacheResponse, float] = ( @@ -162,0 +163,13 @@ EXPECTED_OK_WITH_MODALITIES: tuple[DatasetHubCacheResponse, float] = ( + "tags": [TAG], + "libraries": [LIBRARY], + "modalities": [MODALITY], + "formats": [FORMAT], + }, + 0.0, +) +EXPECTED_OK_WITH_MODALITIES: tuple[DatasetHubCacheResponse, float] = ( + { + "viewer": False, + "preview": True, + "partial": False, + "num_rows": 1000, @@ -168 +181,40 @@ EXPECTED_OK_WITH_MODALITIES: tuple[DatasetHubCacheResponse, float] = ( - 0.5, + 0.2, +) +EXPECTED_EMPTY: tuple[DatasetHubCacheResponse, float] = ( + { + "viewer": False, + "preview": False, + "partial": False, + "num_rows": None, + "tags": [], + "libraries": [], + "modalities": [], + "formats": [], + }, + 0.0, +) +EXPECTED_ONLY_SIZE: tuple[DatasetHubCacheResponse, float] = ( + { + "viewer": False, + "preview": False, + "partial": False, + "num_rows": 1000, + "tags": [], + "libraries": [], + "modalities": [], + "formats": [], + }, + 0.2, +) +EXPECTED_ONLY_MODALITIES: tuple[DatasetHubCacheResponse, float] = ( + { + "viewer": False, + "preview": False, + "partial": False, + "num_rows": None, + "tags": [], + "libraries": [], + "modalities": [MODALITY], + "formats": [], + }, + 1.0, @@ -206,0 +259,2 @@ def get_job_runner( + UPSTREAM_RESPONSE_COMPATIBLE_LIBRARIES_OK, + UPSTREAM_RESPONSE_MODALITIES_OK, @@ -208 +262 @@ def get_job_runner( - EXPECTED_OK, + EXPECTED_ALL_OK, @@ -213,0 +268,2 @@ def get_job_runner( + UPSTREAM_RESPONSE_COMPATIBLE_LIBRARIES_OK, + UPSTREAM_RESPONSE_MODALITIES_OK, @@ -220 +276,8 @@ def get_job_runner( - UPSTREAM_RESPONSE_SIZE_NO_PROGRESS, + UPSTREAM_RESPONSE_SIZE_OK, + ], + EXPECTED_IS_VALID_AND_SIZE, + ), + ( + [ + UPSTREAM_RESPONSE_IS_VALID_OK, + UPSTREAM_RESPONSE_SIZE_OK, @@ -228 +291 @@ def get_job_runner( - UPSTREAM_RESPONSE_SIZE_NO_PROGRESS, + UPSTREAM_RESPONSE_SIZE_OK, @@ -246 +309 @@ def get_job_runner( - EXPECTED_OK, + EXPECTED_IS_VALID_AND_SIZE, @@ -254,25 +317 @@ def get_job_runner( - EXPECTED_OK, - ), - ], -) -def test_compute( - app_config: AppConfig, - get_job_runner: GetJobRunner, - upstream_responses: list[UpstreamResponse], - expected: Any, -) -> None: - dataset = DATASET - for upstream_response in upstream_responses: - upsert_response(upstream_response) - job_runner = get_job_runner(dataset, app_config) - compute_result = job_runner.compute() - assert compute_result.content == expected[0] - assert compute_result.progress == expected[1] - - [email protected]( - "upstream_responses,expectation", - [ - ( - [], - pytest.raises(CachedArtifactNotFoundError), + EXPECTED_IS_VALID_AND_SIZE, @@ -279,0 +319 @@ def test_compute( + ([], EXPECTED_EMPTY), @@ -285 +325,7 @@ def test_compute( - pytest.raises(CachedArtifactError), + EXPECTED_ONLY_SIZE, + ), + ( + [ + UPSTREAM_RESPONSE_MODALITIES_OK, + ], + EXPECTED_ONLY_MODALITIES, @@ -289 +335 @@ def test_compute( -def test_compute_error( +def test_compute( @@ -293 +339 @@ def test_compute_error( - expectation: Any, + expected: Any, @@ -299,2 +345,3 @@ def test_compute_error( - with expectation: - job_runner.compute() + compute_result = job_runner.compute() + assert compute_result.content == expected[0] + assert compute_result.progress == expected[1] diff --git a/services/worker/tests/job_runners/dataset/test_is_valid.py b/services/worker/tests/job_runners/dataset/test_is_valid.py index a4507646..72af6690 100644 --- a/services/worker/tests/job_runners/dataset/test_is_valid.py +++ b/services/worker/tests/job_runners/dataset/test_is_valid.py @@ -42,0 +43,7 @@ UPSTREAM_RESPONSE_CONFIG_NAMES: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_CONFIG_NAMES_EMPTY: UpstreamResponse = UpstreamResponse( + kind="dataset-config-names", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={"config_names": []}, +) @@ -110,0 +118,4 @@ EXPECTED_PENDING_ALL_FALSE = ( +EXPECTED_COMPLETED_ALL_FALSE = ( + {"viewer": False, "preview": False, "search": False, "filter": False, "statistics": False}, + 1.0, +) @@ -145,0 +157 @@ def get_job_runner( + UPSTREAM_RESPONSE_CONFIG_NAMES, @@ -152,0 +165 @@ def get_job_runner( + UPSTREAM_RESPONSE_CONFIG_NAMES, @@ -158,0 +172 @@ def get_job_runner( + UPSTREAM_RESPONSE_CONFIG_NAMES, @@ -164 +177,0 @@ def get_job_runner( - ([UPSTREAM_RESPONSE_CONFIG_1_OK_VIEWER, UPSTREAM_RESPONSE_CONFIG_2_OK_SEARCH], EXPECTED_ALL_MIXED), @@ -166,2 +179,6 @@ def get_job_runner( - [], - EXPECTED_PENDING_ALL_FALSE, + [ + UPSTREAM_RESPONSE_CONFIG_NAMES, + UPSTREAM_RESPONSE_CONFIG_1_OK_VIEWER, + UPSTREAM_RESPONSE_CONFIG_2_OK_SEARCH, + ], + EXPECTED_ALL_MIXED, @@ -168,0 +186,3 @@ def get_job_runner( + ([], EXPECTED_PENDING_ALL_FALSE), + ([UPSTREAM_RESPONSE_CONFIG_1_OK], EXPECTED_PENDING_ALL_FALSE), + ([UPSTREAM_RESPONSE_CONFIG_NAMES_EMPTY], EXPECTED_COMPLETED_ALL_FALSE), @@ -178 +197,0 @@ def test_compute( - upsert_response(UPSTREAM_RESPONSE_CONFIG_NAMES)
55a344eeea67f4ea20e1aad7c18d31f0453dacd3	Andrea Francis Soria Jimenez	[email protected]	2024-06-19T14:43:08	admin-ui: Do not mark gated datasets as error (#2922)	diff --git a/front/admin_ui/app.py b/front/admin_ui/app.py index 8e4ca94c..9891c4ad 100644 --- a/front/admin_ui/app.py +++ b/front/admin_ui/app.py @@ -195,0 +196 @@ with gr.Blocks() as demo: + unauthorized_datasets = [] @@ -215 +216 @@ with gr.Blocks() as demo: - else: + elif is_valid_response.status_code == 500: @@ -217,8 +218,15 @@ with gr.Blocks() as demo: - trending_datasets_coverage[ - "All trending datasets" - ] += error_datasets - for pretty_field in trending_datasets_coverage: - trending_datasets_coverage[pretty_field] += ["❌"] * ( - len(trending_datasets_coverage["All trending datasets"]) - - len(trending_datasets_coverage[pretty_field]) - ) + else: + unauthorized_datasets.append(dataset) + + def fill_empty_cells(datasets, sign): + trending_datasets_coverage[ + "All trending datasets" + ] += datasets + for pretty_field in trending_datasets_coverage: + trending_datasets_coverage[pretty_field] += [sign] * ( + len(trending_datasets_coverage["All trending datasets"]) + - len(trending_datasets_coverage[pretty_field]) + ) + fill_empty_cells(error_datasets, "❌") + fill_empty_cells(unauthorized_datasets, "🚫") +
c09a16cb0637cc10e7d0f67b40015bfe9b4cae4e	Quentin Lhoest	[email protected]	2024-06-19T13:57:04	[Config-parquet-and-info] Compute estimated dataset info (#2906)	diff --git a/jobs/mongodb_migration/src/mongodb_migration/collector.py b/jobs/mongodb_migration/src/mongodb_migration/collector.py index d5152dac..432c9a11 100644 --- a/jobs/mongodb_migration/src/mongodb_migration/collector.py +++ b/jobs/mongodb_migration/src/mongodb_migration/collector.py @@ -73,0 +74,3 @@ from mongodb_migration.migrations._20240221160800_cache_set_updated_at_to_root_s +from mongodb_migration.migrations._20240619124500_cache_add_estimated_dataset_info_field_parquet_and_info import ( + MigrationAddEstimatedDatasetInfoToParquetAndInfoCacheResponse, +) @@ -359,0 +363,4 @@ class MigrationsCollector: + MigrationAddEstimatedDatasetInfoToParquetAndInfoCacheResponse( + version="20240619124500", + description="add 'estimated_dataset_info' field to config-parquet-and-info cache records", + ), diff --git a/jobs/mongodb_migration/src/mongodb_migration/migrations/_20240619124500_cache_add_estimated_dataset_info_field_parquet_and_info.py b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20240619124500_cache_add_estimated_dataset_info_field_parquet_and_info.py new file mode 100644 index 00000000..4ec81de8 --- /dev/null +++ b/jobs/mongodb_migration/src/mongodb_migration/migrations/_20240619124500_cache_add_estimated_dataset_info_field_parquet_and_info.py @@ -0,0 +1,54 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2023 The HuggingFace Authors. + +import logging + +from libcommon.constants import CACHE_COLLECTION_RESPONSES, CACHE_MONGOENGINE_ALIAS +from libcommon.simple_cache import CachedResponseDocument +from mongoengine.connection import get_db + +from mongodb_migration.check import check_documents +from mongodb_migration.migration import Migration + + +# connection already occurred in the main.py (caveat: we use globals) +class MigrationAddEstimatedDatasetInfoToParquetAndInfoCacheResponse(Migration): + def up(self) -> None: + # See https://docs.mongoengine.org/guide/migration.html#example-1-addition-of-a-field + logging.info( + "If missing, add the 'estimated_dataset_info' field with the default value" + " None to the cached results of config-parquet-and-info" + ) + db = get_db(CACHE_MONGOENGINE_ALIAS) + db[CACHE_COLLECTION_RESPONSES].update_many( + { + "kind": "config-parquet-and-info", + "http_status": 200, + "content.estimated_dataset_info": {"$exists": False}, + }, + { + "$set": { + "content.estimated_dataset_info": None, + } + }, + ) + + def down(self) -> None: + logging.info("Remove the 'estimated_dataset_info' field from all the cached results") + db = get_db(CACHE_MONGOENGINE_ALIAS) + db[CACHE_COLLECTION_RESPONSES].update_many( + { + "kind": "config-parquet-and-info", + "http_status": 200, + }, + { + "$unset": { + "content.estimated_dataset_info": "", + } + }, + ) + + def validate(self) -> None: + logging.info("Ensure that a random selection of cached results have the 'estimated_dataset_info field") + + check_documents(DocCls=CachedResponseDocument, sample_size=10) diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py index ac57c6ea..cc710865 100644 --- a/services/worker/src/worker/dtos.py +++ b/services/worker/src/worker/dtos.py @@ -174,0 +175 @@ class ConfigParquetAndInfoResponse(TypedDict): + estimated_dataset_info: Optional[dict[str, Any]] 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 9874e9e3..684555fc 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 @@ -9,0 +10,2 @@ from contextlib import ExitStack +from fnmatch import fnmatch +from itertools import groupby @@ -20,0 +23 @@ import datasets.info +import fsspec @@ -31 +34 @@ from datasets.packaged_modules.parquet.parquet import Parquet as ParquetBuilder -from datasets.splits import SplitDict, SplitInfo +from datasets.splits import SplitDict, SplitGenerator, SplitInfo @@ -32,0 +36,2 @@ from datasets.utils.file_utils import ( + ArchiveIterable, + FilesIterable, @@ -38,0 +44,5 @@ from datasets.utils.py_utils import asdict, map_nested +from fsspec.core import url_to_fs +from fsspec.implementations.http import HTTPFileSystem +from fsspec.implementations.local import LocalFileOpener, LocalFileSystem +from fsspec.spec import AbstractBufferedFile +from huggingface_hub import HfFileSystem @@ -83,0 +94 @@ from worker.utils import ( + batched, @@ -384,0 +396,8 @@ def _request_size(url: str, hf_token: Optional[str] = None) -> Optional[int]: +def _fsspec_request_size(urlpath: str, storage_options: dict[str, Any]) -> Optional[int]: + with fsspec.open(urlpath, *storage_options) as f: + if hasattr(f, "size") and isinstance(f.size, int): + return f.size + else: + return None + + @@ -842,0 +862,147 @@ class limit_parquet_writes: +def get_urlpaths_in_gen_kwargs(gen_kwargs: dict[str, Any]) -> list[str]: + """ + Return the (deduplicated) list of file sources according to the input gen_kwargs. + In case of chained URLs like `zip://xxx::hf://yyy`, only `hf://yyy` is returned. + """ + # Having lists of different sizes makes sharding ambigious, raise an error in this case (same as in the `datasets` lib) + lists = [value for value in gen_kwargs.values() if isinstance(value, list)] or [[]] + if len(set(len(list_) for list_ in lists)) > 1: + raise RuntimeError( + ( + "Sharding is ambiguous for this dataset: " + + "we found several data sources lists of different lengths, and we don't know over which list we should list shards.\n" + + "To fix this, check the 'gen_kwargs' and make sure to use lists only for data sources, " + + "and use tuples otherwise. In the end there should only be one single list, or several lists with the same length." + ) + ) + shards = max(lists, key=len) + urlpaths: set[str] = set() + for shard in shards: + if isinstance(shard, str): + urlpaths.add(shard.split("::")[-1]) + elif isinstance(shard, FilesIterable): + urlpaths.update(item.split("::")[-1] for item in shard) + elif isinstance(shard, ArchiveIterable) and shard.args and isinstance(shard.args[0], str): + urlpaths.add(shard.args[0].split("::")[-1]) + return [url_to_fs(urlpath)[0].unstrip_protocol(urlpath) for urlpath in urlpaths] + + +ReadOutput = TypeVar("ReadOutput", bound=Union[bytes, str]) + +FsspecFile = TypeVar( + "FsspecFile", + bound=Union[ + LocalFileOpener, + AbstractBufferedFile, + ], +) + + +class track_reads: + """ + Context manager that tracks the number of bytes a `DatasetBuilder` reads. + + It works by monitoring the calls to `fs.open` and wraps the file-like objects + to track the data from calls to read methods like `.read()`. + + Supported file-systems are local, http and hf. + Tracking results are stored in the `tracker.files` dictionary, + with the format "urlpath with protocol" -> {"read": int, "size": int} + + Since tracking is applied directly on the file from `fs.open`, reads from file-wrappers + like ZipFile or GZipFile are also taken into account. + + Example of usage: + + ```python + builder = load_dataset_builder("rajpurkar/squad") + with track_reads() as tracker: + builder.download_and_prepare(file_format="parquet") + print(tracker.files) + ``` + + The limiter is usually used with a `StreamingDownloadManager` to not have to download + the full dataset: + + ```python + builder = load_dataset_builder("rajpurkar/squad") + dl_manager = StreamingDownloadManager(...) + for split_generator in builder._split_generators(dl_manager): + with track_reads() as tracker: + builder._prepare_split(split_generator=split_generator, file_format="parquet") + ``` + """ + + allow_list = ["hf://datasets/allenai/c4/", "hf://datasets/datasets-maintainers/"] + + def __init__(self) -> None: + self.files: dict[str, dict[str, int]] = {} + self.exit_stack = ExitStack() + + def track_read(self, urlpath: str, f_read: Callable[..., ReadOutput], args: Any, *kwargs: Any) -> ReadOutput: + out = f_read(args, *kwargs) + self.files[urlpath]["read"] += len(out) + return out + + def track_iter( + self, urlpath: str, f_iter: Callable[..., Generator[ReadOutput, None, None]] + ) -> Generator[ReadOutput, None, None]: + for out in f_iter(): + self.files[urlpath]["read"] += len(out) + yield out + + def __enter__(self) -> "track_reads": + tracker = self + + # Track files reads from local, http and hf file-systems. + + # To do so, we replace LocalFileSystem.open, HTTPFileSystem.open and HfFileSystem.open + # by wrappers that modify the output file read functions with tracked read functions. + + def wrapped( + self: Union[LocalFileSystem, HTTPFileSystem, HfFileSystem], + urlpath: str, + mode: str = "rb", + args: Any, + fs_open: Callable[..., FsspecFile], + *kwargs: Any, + ) -> FsspecFile: + f = fs_open(self, urlpath, mode, args, kwargs) + urlpath = self.unstrip_protocol(urlpath) + if "w" not in mode and any(fnmatch(urlpath, pattern) for pattern in tracker.allow_list): + f.read = functools.partial(tracker.track_read, urlpath, f.read) + f.__iter__ = functools.partial(tracker.track_iter, urlpath, f.__iter__) + if hasattr(f, "read1"): + f.read1 = functools.partial(tracker.track_read, urlpath, f.read1) + if hasattr(f, "readline"): + f.readline = functools.partial(tracker.track_read, urlpath, f.readline) + if hasattr(f, "readlines"): + f.readlines = functools.partial(tracker.track_read, urlpath, f.readlines) + tracker.files[urlpath] = {"read": 0, "size": int(f.size)} + return f + + # Use an exit_stack to be able to un-do all the replacements once the track_reads context ends. + # Use patch.object to apply the replacement, and autospec=True to handle methods replacements properly. + # Apply the wrapped open function using `side_effect`. + local_open = LocalFileSystem.open + mock_local_open = self.exit_stack.enter_context(patch.object(LocalFileSystem, "open", autospec=True)) + mock_local_open.side_effect = functools.partial(wrapped, fs_open=local_open) + http_open = HTTPFileSystem.open + mock_http_open = self.exit_stack.enter_context(patch.object(HTTPFileSystem, "open", autospec=True)) + mock_http_open.side_effect = functools.partial(wrapped, fs_open=http_open) + hf_open = HfFileSystem.open + mock_hf_open = self.exit_stack.enter_context(patch.object(HfFileSystem, "open", autospec=True)) + mock_hf_open.side_effect = functools.partial(wrapped, fs_open=hf_open) + # always use fsspec even for local paths + self.exit_stack.enter_context(patch("datasets.utils.file_utils.is_local_path", return_value=False)) + return self + + def __exit__( + self, + exc_type: Optional[type[BaseException]], + exc_value: Optional[BaseException], + traceback: Optional[TracebackType], + ) -> None: + return self.exit_stack.close() + + @@ -875,0 +1042,28 @@ def list_generated_parquet_files(builder: DatasetBuilder, partial: bool = False) +def get_total_files_size(urlpaths: list[str], storage_options: dict[str, Any]) -> int: + total_size = 0 + fs = HfFileSystem(storage_options["hf"]) + # fastest way to get hf files sizes is using get_paths_info + hf_paths = [fs.resolve_path(path.split("::")[-1]) for path in urlpaths if path.startswith("hf://")] + for repo_id, hf_paths_in_repo in groupby(hf_paths, key=lambda path: path.repo_id): + batches = list(batched((path.path_in_repo for path in hf_paths_in_repo), 200)) # max is 1k files per request + paths_info_per_batch = thread_map( + functools.partial(fs._api.get_paths_info, repo_type="dataset"), [repo_id] * len(batches), batches + ) + total_size += sum( + path_info.size + for paths_info in paths_info_per_batch + for path_info in paths_info + if isinstance(path_info, RepoFile) + ) + # for other files we simply use fsspec + external_paths = [path for path in urlpaths if not path.startswith("hf://")] + total_size += sum( + size + for size in thread_map( + functools.partial(_fsspec_request_size, storage_options=storage_options), external_paths + ) + if size + ) + return total_size + + @@ -878 +1072 @@ def stream_convert_to_parquet( -) -> tuple[list[CommitOperationAdd], bool]: +) -> tuple[list[CommitOperationAdd], bool, Optional[dict[str, Any]]]: @@ -893 +1087 @@ def stream_convert_to_parquet( - splits_generators = {sg.name: sg for sg in builder._split_generators(dl_manager)} + splits_generators: dict[str, SplitGenerator] = {sg.name: sg for sg in builder._split_generators(dl_manager)} @@ -897,0 +1092,2 @@ def stream_convert_to_parquet( + estimated_splits_info: dict[str, dict[str, Any]] = {} + estimated_info: dict[str, Any] = {"download_size": 0} @@ -899 +1095,2 @@ def stream_convert_to_parquet( - split_dict.add(splits_generators[split].split_info) + split_info = splits_generators[split].split_info + split_dict.add(split_info) @@ -905 +1102,4 @@ def stream_convert_to_parquet( - with limit_parquet_writes(builder, max_dataset_size_bytes=max_dataset_size_bytes) as limiter: + with ( + limit_parquet_writes(builder, max_dataset_size_bytes=max_dataset_size_bytes) as limiter, + track_reads() as reads_tracker, + ): @@ -909,0 +1110,21 @@ def stream_convert_to_parquet( + # estimate num_examples if partial conversion + urlpaths = get_urlpaths_in_gen_kwargs(splits_generators[split].gen_kwargs) + if limiter.total_bytes >= max_dataset_size_bytes and urlpaths: + shards_total_read = sum( + reads_tracker.files[urlpath]["read"] for urlpath in urlpaths if urlpath in reads_tracker.files + ) + if shards_total_read > 0: + shards_total_size = ( + len(urlpaths) + / min(10_000, len(urlpaths)) + * get_total_files_size(urlpaths[:10_000], storage_options=builder.storage_options) + ) + estimated_splits_info[split] = asdict( + SplitInfo( + name=split_info.name, + num_examples=int(shards_total_size / shards_total_read * split_info.num_examples), + num_bytes=int(shards_total_size / shards_total_read * split_info.num_bytes), + dataset_name=split_info.dataset_name, + ) + ) + estimated_info["download_size"] += shards_total_size @@ -913,0 +1135,3 @@ def stream_convert_to_parquet( + if estimated_splits_info: + estimated_info["splits"] = estimated_splits_info + estimated_info["dataset_size"] = sum(split_info["num_bytes"] for split_info in estimated_splits_info.values()) @@ -921 +1145 @@ def stream_convert_to_parquet( - return parquet_operations, partial + return parquet_operations, partial, estimated_info if estimated_splits_info else None @@ -1264,0 +1489 @@ def compute_config_parquet_and_info_response( + estimated_dataset_info: Optional[dict[str, Any]] = None @@ -1288 +1513 @@ def compute_config_parquet_and_info_response( - parquet_operations, partial = stream_convert_to_parquet( + parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet( @@ -1312 +1537 @@ def compute_config_parquet_and_info_response( - parquet_operations, partial = stream_convert_to_parquet( + parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet( @@ -1383,0 +1609 @@ def compute_config_parquet_and_info_response( + estimated_dataset_info=estimated_dataset_info, diff --git a/services/worker/src/worker/job_runners/split/presidio_scan.py b/services/worker/src/worker/job_runners/split/presidio_scan.py index b7a92bd5..6e3198a4 100644 --- a/services/worker/src/worker/job_runners/split/presidio_scan.py +++ b/services/worker/src/worker/job_runners/split/presidio_scan.py @@ -8 +8 @@ from collections.abc import Iterable -from itertools import count, islice +from itertools import count @@ -10 +10 @@ from pathlib import Path -from typing import Any, Literal, Optional, TypeVar, Union, overload +from typing import Any, Optional @@ -26 +26 @@ from worker.job_runners.split.split_job_runner import SplitJobRunnerWithDatasets -from worker.utils import get_rows_or_raise, resolve_trust_remote_code +from worker.utils import batched, get_rows_or_raise, resolve_trust_remote_code @@ -28 +27,0 @@ from worker.utils import get_rows_or_raise, resolve_trust_remote_code -T = TypeVar("T") @@ -33,20 +31,0 @@ batch_analyzer: Optional[BatchAnalyzerEngine] = None -@overload -def batched(it: Iterable[T], n: int) -> Iterable[list[T]]: ... - - -@overload -def batched(it: Iterable[T], n: int, with_indices: Literal[False]) -> Iterable[list[T]]: ... - - -@overload -def batched(it: Iterable[T], n: int, with_indices: Literal[True]) -> Iterable[tuple[list[int], list[T]]]: ... - - -def batched( - it: Iterable[T], n: int, with_indices: bool = False -) -> Union[Iterable[list[T]], Iterable[tuple[list[int], list[T]]]]: - it, indices = iter(it), count() - while batch := list(islice(it, n)): - yield (list(islice(indices, len(batch))), batch) if with_indices else batch - - @@ -269,0 +249 @@ def compute_presidio_entities_scan_response( + estimated_dataset_info=parquet_and_info_response["content"].get("estimated_dataset_info"), diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py index 89e9a8cd..e5965260 100644 --- a/services/worker/src/worker/utils.py +++ b/services/worker/src/worker/utils.py @@ -9,0 +10 @@ import warnings +from collections.abc import Iterable @@ -12 +13,2 @@ from fnmatch import fnmatch -from typing import Optional, Union +from itertools import count, islice +from typing import Literal, Optional, TypeVar, Union, overload @@ -260,0 +263,23 @@ def raise_if_long_column_name(features: Optional[Features]) -> None: +T = TypeVar("T") + + +@overload +def batched(it: Iterable[T], n: int) -> Iterable[list[T]]: ... + + +@overload +def batched(it: Iterable[T], n: int, with_indices: Literal[False]) -> Iterable[list[T]]: ... + + +@overload +def batched(it: Iterable[T], n: int, with_indices: Literal[True]) -> Iterable[tuple[list[int], list[T]]]: ... + + +def batched( + it: Iterable[T], n: int, with_indices: bool = False +) -> Union[Iterable[list[T]], Iterable[tuple[list[int], list[T]]]]: + it, indices = iter(it), count() + while batch := list(islice(it, n)): + yield (list(islice(indices, len(batch))), batch) if with_indices else batch + + diff --git a/services/worker/tests/fixtures/files.py b/services/worker/tests/fixtures/files.py index 1bc2a1f3..e85d77c4 100644 --- a/services/worker/tests/fixtures/files.py +++ b/services/worker/tests/fixtures/files.py @@ -5,0 +6 @@ import json +import os @@ -51,0 +53,35 @@ def jsonl_path(tmp_path_factory: pytest.TempPathFactory) -> str: +FILE_CONTENT = """\ + Text data. + Second line of data.""" + + [email protected](scope="session") +def text_file(tmp_path_factory: pytest.TempPathFactory) -> str: + path = str(tmp_path_factory.mktemp("data") / "file.txt") + data = bytes(FILE_CONTENT, "utf-8") + with open(path, "wb") as f: + f.write(data) + return path + + [email protected](scope="session") +def gz_file(tmp_path_factory: pytest.TempPathFactory) -> str: + import gzip + + path = str(tmp_path_factory.mktemp("data") / "file.txt.gz") + data = bytes(FILE_CONTENT, "utf-8") + with gzip.open(path, "wb") as f: + f.write(data) + return path + + [email protected](scope="session") +def zip_file(tmp_path_factory: pytest.TempPathFactory, text_file: str) -> str: + import zipfile + + path = str(tmp_path_factory.mktemp("data") / "file.txt.zip") + with zipfile.ZipFile(path, "w") as f: + f.write(text_file, arcname=os.path.basename(text_file)) + return path + + diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index 77aa2744..177812fa 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -596,0 +597,10 @@ def create_dataset_info_response_for_partially_generated_big_csv(dataset: str, c +def create_estimated_dataset_info_response_for_partially_generated_big_csv() -> Any: + # Dataset is partially converted to parquet: the first 10KB instead of the full 5MB + # Estimation is made based on the ratio of data read vs full data + return { + "download_size": 5644817, + "splits": {"train": {"name": "train", "num_bytes": 266581, "num_examples": 215, "dataset_name": "csv"}}, + "dataset_size": 266581, + } + + @@ -697,0 +708,3 @@ def create_parquet_and_info_response( + estimated_info = ( + create_estimated_dataset_info_response_for_partially_generated_big_csv() if data_type == "big-csv" else None + ) @@ -713,0 +727 @@ def create_parquet_and_info_response( + "estimated_dataset_info": estimated_info, diff --git a/services/worker/tests/job_runners/config/test_parquet.py b/services/worker/tests/job_runners/config/test_parquet.py index 128860d8..4629c047 100644 --- a/services/worker/tests/job_runners/config/test_parquet.py +++ b/services/worker/tests/job_runners/config/test_parquet.py @@ -88,0 +89 @@ def get_job_runner( + estimated_dataset_info=None, @@ -155,0 +157 @@ def get_job_runner( + estimated_dataset_info=None, @@ -218,0 +221 @@ def get_job_runner( + estimated_dataset_info=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 bc893862..04248b87 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 @@ -5,0 +6 @@ import os +import zipfile @@ -17,0 +19 @@ import datasets.info +import fsspec @@ -56,0 +59 @@ from worker.job_runners.config.parquet_and_info import ( + track_reads, @@ -110 +113,6 @@ def assert_content_is_equal(content: Any, expected: Any) -> None: - assert set(content) == {"parquet_files", "dataset_info", "partial"}, f"keys: {set(content)}" + assert set(content) == { + "parquet_files", + "dataset_info", + "estimated_dataset_info", + "partial", + }, f"keys: {set(content)}" @@ -122,0 +131,14 @@ def assert_content_is_equal(content: Any, expected: Any) -> None: + if content["estimated_dataset_info"] is not None or expected["estimated_dataset_info"] is not None: + assert len(content["estimated_dataset_info"]) == len( + expected["estimated_dataset_info"] + ), f"length of estimated_dataset_info: {content['estimated_dataset_info']}" + content_value = content["estimated_dataset_info"] + expected_value = expected["estimated_dataset_info"] + assert set(content_value.keys()) == set( + expected_value.keys() + ), f"keys of estimated_dataset_info: {set(content_value.keys())}" + for key in content_value.keys(): + if key != "download_checksums": + assert ( + content_value[key] == expected_value[key] + ), f"content of estimated_dataset_info['{key}']: {content_value[key]}" @@ -125,0 +148,7 @@ def assert_content_is_equal(content: Any, expected: Any) -> None: [email protected](autouse=True) +def always_enable_track_reads() -> Iterator[None]: + # TODO: remove once track_reads is enabled on all datasets + with patch.object(track_reads, "allow_list", [""]): + yield + + @@ -693 +722 @@ def test_stream_convert_to_parquet_arrowbasedbuilder( - parquet_operations, partial = stream_convert_to_parquet( + parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet( @@ -698,0 +728 @@ def test_stream_convert_to_parquet_arrowbasedbuilder( + assert partial == (estimated_dataset_info is not None) @@ -735 +765 @@ def test_stream_convert_to_parquet_generatorbasedbuilder( - parquet_operations, partial = stream_convert_to_parquet( + parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet( @@ -740,0 +771 @@ def test_stream_convert_to_parquet_generatorbasedbuilder( + assert estimated_dataset_info is None # no file to read to estimate num_rows @@ -753,0 +785,60 @@ def test_stream_convert_to_parquet_generatorbasedbuilder( +def test_stream_convert_to_parquet_estimate_info(tmp_path: Path, csv_path: str) -> None: + num_rows = 100 + expected_estimated_num_rows = 54 + + def generate_from_text(text_files: list[str]) -> Iterator[dict[str, int]]: + for text_file in text_files: + with fsspec.open(text_file, "r").open() as f: # we track fsspec reads to estimate + yield {"text": f.read()} + + cache_dir = str(tmp_path / "test_limit_parquet_writes_cache_dir") + gen_kwargs = {"text_files": [csv_path] num_rows} + builder = ParametrizedGeneratorBasedBuilder( + generator=generate_from_text, cache_dir=cache_dir, gen_kwargs=gen_kwargs + ) + with patch("worker.job_runners.config.parquet_and_info.get_writer_batch_size_from_info", lambda ds_config_info: 1): + with patch.object(datasets.config, "MAX_SHARD_SIZE", 1): + parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet( + builder, max_dataset_size_bytes=1 + ) + assert partial + assert len(parquet_operations) == 1 + assert "train" in builder.info.splits + assert builder.info.splits["train"].num_examples == 1 + assert estimated_dataset_info is not None + assert "dataset_size" in estimated_dataset_info + assert estimated_dataset_info["dataset_size"] == expected_estimated_num_rows + + +def test_stream_convert_to_parquet_estimate_info_zipped(tmp_path: Path, csv_path: str) -> None: + num_rows = 100 + expected_estimated_num_rows = 142 + + def generate_from_text(text_files: list[str]) -> Iterator[dict[str, int]]: + for text_file in text_files: + with fsspec.open(text_file, "r").open() as f: # we track fsspec reads to estimate + yield {"text": f.read()} + + cache_dir = str(tmp_path / "test_limit_parquet_writes_cache_dir") + zip_path = str(tmp_path / "test_stream_convert_to_parquet_estimate_info_zipped.zip") + with zipfile.ZipFile(zip_path, "w") as zip_file: + for i in range(num_rows): + zip_file.write(csv_path, arcname=f"data{i}.csv") + gen_kwargs = {"text_files": [f"zip://data{i}.csv::{zip_path}" for i in range(num_rows)]} + builder = ParametrizedGeneratorBasedBuilder( + generator=generate_from_text, cache_dir=cache_dir, gen_kwargs=gen_kwargs + ) + with patch("worker.job_runners.config.parquet_and_info.get_writer_batch_size_from_info", lambda ds_config_info: 1): + with patch.object(datasets.config, "MAX_SHARD_SIZE", 1): + parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet( + builder, max_dataset_size_bytes=1 + ) + assert partial + assert len(parquet_operations) == 1 + assert "train" in builder.info.splits + assert builder.info.splits["train"].num_examples == 1 + assert estimated_dataset_info is not None + assert "dataset_size" in estimated_dataset_info + assert estimated_dataset_info["dataset_size"] == expected_estimated_num_rows + + @@ -933,0 +1025,26 @@ def test_parquet_file_path_in_repo( + + +def test_track_reads_single_compressed_file(text_file: str, gz_file: str) -> None: + with track_reads() as tracker: + with ( + fsspec.open(gz_file, compression="gzip") as f, + open(gz_file, "rb") as compressed_f, + open(text_file, "rb") as uncompressed_f, + ): + expected_read_size = len(compressed_f.read()) + expected_output_size = len(uncompressed_f.read()) + assert len(f.read()) == expected_output_size + assert "file://" + gz_file in tracker.files + assert tracker.files["file://" + gz_file]["read"] == expected_read_size + + +def test_track_reads_zip_file(text_file: str, zip_file: str) -> None: + with track_reads() as tracker: + with ( + fsspec.open(f"zip://{os.path.basename(text_file)}::{zip_file}") as f, + open(text_file, "rb") as uncompressed_f, + ): + expected_output_size = len(uncompressed_f.read()) + assert len(f.read()) == expected_output_size + assert "file://" + zip_file in tracker.files + assert tracker.files["file://" + zip_file]["read"] != expected_output_size
0e9c8dfe947cefc7a280070df833cc4dadd78a0a	Albert Villanova del Moral	[email protected]	2024-06-19T05:46:08	Do not keep DataFrames in memory in State classes (#2921)	diff --git a/libs/libcommon/src/libcommon/state.py b/libs/libcommon/src/libcommon/state.py index d5636105..3daa16b8 100644 --- a/libs/libcommon/src/libcommon/state.py +++ b/libs/libcommon/src/libcommon/state.py @@ -5 +5 @@ import logging -from dataclasses import dataclass, field +from dataclasses import InitVar, dataclass, field @@ -44 +43,0 @@ class JobState: - pending_jobs_df: pd.DataFrame @@ -46,3 +45,2 @@ class JobState: - valid_pending_jobs_df: pd.DataFrame = field( - init=False - ) # contains at most one row (but the logic does not depend on it) + # contains at most one row (but the logic does not depend on it): + valid_pending_jobs_df: pd.DataFrame = field(init=False) @@ -51,4 +49,8 @@ class JobState: - def __post_init__(self) -> None: - self.valid_pending_jobs_df = self.pending_jobs_df.sort_values( - ["status", "priority", "created_at"], ascending=[False, False, True] - ).head(1) + pending_jobs_df: InitVar[pd.DataFrame] + + def __post_init__(self, pending_jobs_df: pd.DataFrame) -> None: + self.valid_pending_jobs_df = ( + pending_jobs_df.sort_values(["status", "priority", "created_at"], ascending=[False, False, True]) + .head(1) + .copy() + ) @@ -67 +68,0 @@ class CacheState: - cache_entries_df: pd.DataFrame @@ -74,2 +75,4 @@ class CacheState: - def __post_init__(self) -> None: - if len(self.cache_entries_df) > 1: + cache_entries_df: InitVar[pd.DataFrame] + + def __post_init__(self, cache_entries_df: pd.DataFrame) -> None: + if len(cache_entries_df) > 1: @@ -79 +82 @@ class CacheState: - if len(self.cache_entries_df) == 0: + if len(cache_entries_df) == 0: @@ -82 +85 @@ class CacheState: - entry = self.cache_entries_df.iloc[0] + entry = cache_entries_df.iloc[0].to_dict() @@ -85,2 +88,2 @@ class CacheState: - error_code=None if entry["error_code"] is pd.NA else entry["error_code"], - job_runner_version=None if entry["job_runner_version"] is pd.NA else entry["job_runner_version"], + error_code=entry["error_code"], + job_runner_version=entry["job_runner_version"], @@ -89 +92 @@ class CacheState: - progress=None if entry["progress"] is pd.NA else entry["progress"], + progress=entry["progress"], @@ -128,3 +130,0 @@ class ArtifactState(Artifact): - pending_jobs_df: pd.DataFrame - cache_entries_df: pd.DataFrame - @@ -134 +134,4 @@ class ArtifactState(Artifact): - def __post_init__(self) -> None: + pending_jobs_df: InitVar[pd.DataFrame] + cache_entries_df: InitVar[pd.DataFrame] + + def __post_init__(self, pending_jobs_df: pd.DataFrame, cache_entries_df: pd.DataFrame) -> None: @@ -142 +145 @@ class ArtifactState(Artifact): - pending_jobs_df=self.pending_jobs_df, + pending_jobs_df=pending_jobs_df, @@ -150 +153 @@ class ArtifactState(Artifact): - cache_entries_df=self.cache_entries_df, + cache_entries_df=cache_entries_df, @@ -163,2 +165,0 @@ class SplitState: - pending_jobs_df: pd.DataFrame - cache_entries_df: pd.DataFrame @@ -168 +169,4 @@ class SplitState: - def __post_init__(self) -> None: + pending_jobs_df: InitVar[pd.DataFrame] + cache_entries_df: InitVar[pd.DataFrame] + + def __post_init__(self, pending_jobs_df: pd.DataFrame, cache_entries_df: pd.DataFrame) -> None: @@ -176,2 +180,2 @@ class SplitState: - pending_jobs_df=self.pending_jobs_df[self.pending_jobs_df["type"] == processing_step.job_type], - cache_entries_df=self.cache_entries_df[self.cache_entries_df["kind"] == processing_step.cache_kind], + pending_jobs_df=pending_jobs_df[pending_jobs_df["type"] == processing_step.job_type], + cache_entries_df=cache_entries_df[cache_entries_df["kind"] == processing_step.cache_kind], @@ -191,2 +194,0 @@ class ConfigState: - pending_jobs_df: pd.DataFrame - cache_entries_df: pd.DataFrame @@ -198 +200,4 @@ class ConfigState: - def __post_init__(self) -> None: + pending_jobs_df: InitVar[pd.DataFrame] + cache_entries_df: InitVar[pd.DataFrame] + + def __post_init__(self, pending_jobs_df: pd.DataFrame, cache_entries_df: pd.DataFrame) -> None: @@ -210,6 +215,2 @@ class ConfigState: - pending_jobs_df=self.pending_jobs_df[ - (self.pending_jobs_df["split"].isnull()) - & (self.pending_jobs_df["type"] == processing_step.job_type) - ], - cache_entries_df=self.cache_entries_df[ - self.cache_entries_df["kind"] == processing_step.cache_kind + pending_jobs_df=pending_jobs_df[ + (pending_jobs_df["split"].isnull()) & (pending_jobs_df["type"] == processing_step.job_type) @@ -216,0 +218 @@ class ConfigState: + cache_entries_df=cache_entries_df[cache_entries_df["kind"] == processing_step.cache_kind], @@ -233 +235 @@ class ConfigState: - unexpected_split_names = set(self.cache_entries_df["split"].unique()).difference( + unexpected_split_names = set(cache_entries_df["split"].unique()).difference( @@ -252,2 +254,2 @@ class ConfigState: - pending_jobs_df=self.pending_jobs_df[self.pending_jobs_df["split"] == split_name], - cache_entries_df=self.cache_entries_df[self.cache_entries_df["split"] == split_name], + pending_jobs_df=pending_jobs_df[pending_jobs_df["split"] == split_name], + cache_entries_df=cache_entries_df[cache_entries_df["split"] == split_name], @@ -266,2 +267,0 @@ class DatasetState: - pending_jobs_df: pd.DataFrame - cache_entries_df: pd.DataFrame @@ -273 +273,4 @@ class DatasetState: - def __post_init__(self) -> None: + pending_jobs_df: InitVar[pd.DataFrame] + cache_entries_df: InitVar[pd.DataFrame] + + def __post_init__(self, pending_jobs_df: pd.DataFrame, cache_entries_df: pd.DataFrame) -> None: @@ -285,5 +288,5 @@ class DatasetState: - pending_jobs_df=self.pending_jobs_df[ - (self.pending_jobs_df["revision"] == self.revision) - & (self.pending_jobs_df["config"].isnull()) - & (self.pending_jobs_df["split"].isnull()) - & (self.pending_jobs_df["type"] == processing_step.job_type) + pending_jobs_df=pending_jobs_df[ + (pending_jobs_df["revision"] == self.revision) + & (pending_jobs_df["config"].isnull()) + & (pending_jobs_df["split"].isnull()) + & (pending_jobs_df["type"] == processing_step.job_type) @@ -291,4 +294,4 @@ class DatasetState: - cache_entries_df=self.cache_entries_df[ - (self.cache_entries_df["kind"] == processing_step.cache_kind) - & (self.cache_entries_df["config"].isnull()) - & (self.cache_entries_df["split"].isnull()) + cache_entries_df=cache_entries_df[ + (cache_entries_df["kind"] == processing_step.cache_kind) + & (cache_entries_df["config"].isnull()) + & (cache_entries_df["split"].isnull()) @@ -312 +315 @@ class DatasetState: - unexpected_config_names = set(self.cache_entries_df["config"].unique()).difference( + unexpected_config_names = set(cache_entries_df["config"].unique()).difference( @@ -330,3 +333,2 @@ class DatasetState: - pending_jobs_df=self.pending_jobs_df[ - (self.pending_jobs_df["revision"] == self.revision) - & (self.pending_jobs_df["config"] == config_name) + pending_jobs_df=pending_jobs_df[ + (pending_jobs_df["revision"] == self.revision) & (pending_jobs_df["config"] == config_name) @@ -334 +336 @@ class DatasetState: - cache_entries_df=self.cache_entries_df[self.cache_entries_df["config"] == config_name], + cache_entries_df=cache_entries_df[cache_entries_df["config"] == config_name], @@ -344 +346 @@ class FirstStepsDatasetState(DatasetState): - def __post_init__(self) -> None: + def __post_init__(self, pending_jobs_df: pd.DataFrame, cache_entries_df: pd.DataFrame) -> None: @@ -356,5 +358,5 @@ class FirstStepsDatasetState(DatasetState): - pending_jobs_df=self.pending_jobs_df[ - (self.pending_jobs_df["revision"] == self.revision) - & (self.pending_jobs_df["config"].isnull()) - & (self.pending_jobs_df["split"].isnull()) - & (self.pending_jobs_df["type"] == processing_step.job_type) + pending_jobs_df=pending_jobs_df[ + (pending_jobs_df["revision"] == self.revision) + & (pending_jobs_df["config"].isnull()) + & (pending_jobs_df["split"].isnull()) + & (pending_jobs_df["type"] == processing_step.job_type) @@ -362,4 +364,4 @@ class FirstStepsDatasetState(DatasetState): - cache_entries_df=self.cache_entries_df[ - (self.cache_entries_df["kind"] == processing_step.cache_kind) - & (self.cache_entries_df["config"].isnull()) - & (self.cache_entries_df["split"].isnull()) + cache_entries_df=cache_entries_df[ + (cache_entries_df["kind"] == processing_step.cache_kind) + & (cache_entries_df["config"].isnull()) + & (cache_entries_df["split"].isnull())
a592453e9877b46578618ee8cf4d0fdd7c5f34fa	Sylvain Lesage	[email protected]	2024-06-18T13:48:52	order the steps alphabetically (#2920)	diff --git a/front/admin_ui/app.py b/front/admin_ui/app.py index f52fd79c..8e4ca94c 100644 --- a/front/admin_ui/app.py +++ b/front/admin_ui/app.py @@ -399 +399 @@ with gr.Blocks() as demo: - for processing_step in processing_graph.get_topologically_ordered_processing_steps() + for processing_step in processing_graph.get_alphabetically_ordered_processing_steps()
8d7c3cf35c3cb45b98c48117625d4732ae15443f	Clémentine Fourrier	[email protected]	2024-06-17T09:06:17	Prevents viewer from being pinged for the datasets on both leaderboard orgs (#2914)	diff --git a/chart/values.yaml b/chart/values.yaml index 9ed840d2..ca313cf1 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -82 +82 @@ common: - blockedDatasets: "open-llm-leaderboard/details_,lunaluan/,atom-in-the-universe/,cot-leaderboard/cot-eval-traces,mitermix/yt-links,mcding-org/" + blockedDatasets: "open-llm-leaderboard/details_,open-llm-leaderboard-old/details_,lunaluan/,atom-in-the-universe/,cot-leaderboard/cot-eval-traces,mitermix/yt-links,mcding-org/*"
5a498aa8521f4e6637eb7767bc6b1e465b30c9c6	Sylvain Lesage	[email protected]	2024-06-14T17:18:50	Detect dataset modalities using dataset-filetypes (#2909)	diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index e66e2703..81b321a2 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -711,2 +711,2 @@ specification: ProcessingGraphSpecification = { - "triggered_by": "dataset-info", - "job_runner_version": 1, + "triggered_by": ["dataset-info", "dataset-filetypes"], + "job_runner_version": 2, diff --git a/libs/libcommon/tests/test_operations.py b/libs/libcommon/tests/test_operations.py index 73d06363..2e1ff101 100644 --- a/libs/libcommon/tests/test_operations.py +++ b/libs/libcommon/tests/test_operations.py @@ -430 +430 @@ def test_2274_only_first_steps( - assert len(queue.get_pending_jobs_df(dataset=dataset)) == 7 + assert len(queue.get_pending_jobs_df(dataset=dataset)) == 8 diff --git a/libs/libcommon/tests/test_processing_graph.py b/libs/libcommon/tests/test_processing_graph.py index f3fcb787..6d94d7a4 100644 --- a/libs/libcommon/tests/test_processing_graph.py +++ b/libs/libcommon/tests/test_processing_graph.py @@ -171,2 +171,2 @@ def test_graph() -> None: - ["dataset-info"], - ["dataset-config-names", "config-parquet-and-info", "config-info", "dataset-info"], + ["dataset-info", "dataset-filetypes"], + ["dataset-config-names", "config-parquet-and-info", "config-info", "dataset-info", "dataset-filetypes"], @@ -365,0 +366 @@ def test_graph() -> None: + "dataset-filetypes", @@ -420 +421 @@ def test_graph() -> None: - [], + ["dataset-modalities"], diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py index 1a6d210a..ac57c6ea 100644 --- a/services/worker/src/worker/dtos.py +++ b/services/worker/src/worker/dtos.py @@ -336 +336 @@ class DatasetCompatibleLibrariesResponse(TypedDict): -DatasetModality = Literal["image", "audio", "text"] +DatasetModality = Literal["image", "audio", "text", "video", "geospatial", "3d", "tabular", "timeseries"] diff --git a/services/worker/src/worker/job_runners/dataset/modalities.py b/services/worker/src/worker/job_runners/dataset/modalities.py index 1f4c03ee..c834ce6d 100644 --- a/services/worker/src/worker/job_runners/dataset/modalities.py +++ b/services/worker/src/worker/job_runners/dataset/modalities.py @@ -6 +6 @@ import logging -from datasets import Audio, Features, Image, Translation, TranslationVariableLanguages, Value +from datasets import Audio, Features, Image, Sequence, Translation, TranslationVariableLanguages, Value @@ -21 +21 @@ from worker.job_runners.dataset.dataset_job_runner import DatasetJobRunner -def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: +def detect_features_modalities(features: Features) -> set[DatasetModality]: @@ -23 +23,57 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: - Get the response of 'dataset-modalities' for one specific dataset on huggingface.co. + Detect modalities of a dataset using the features (column types). + + Args: + features (`datasets.Features`): + The features of a config. + + Returns: + `set[DatasetModality]`: A set of modalities. + """ + modalities: set[DatasetModality] = set() + + def classify_modality(feature: FeatureType) -> None: + nonlocal modalities + if isinstance(feature, Audio): + modalities.add("audio") + elif isinstance(feature, Image): + modalities.add("image") + elif isinstance(feature, Value) and feature.dtype in ("string", "large_string"): + modalities.add("text") + elif isinstance(feature, (Translation, TranslationVariableLanguages)): + modalities.add("text") + + _visit(features, classify_modality) + + # detection of tabular data: if there are at least two top-level numerical columns, and no "media" columns + if ( + not ("audio" in modalities or "image" in modalities) + and len( + [ + feature + for feature in features.values() + if isinstance(feature, Value) and ("int" in feature.dtype or "float" in feature.dtype) + ] + ) + >= 2 + ): + modalities.add("tabular") + + # detection of time series + if any( + "emb" not in column_name # ignore lists of floats that may be embeddings + and ( + (isinstance(feature, Sequence) and feature.feature == Value("float32")) + or (isinstance(feature, list) and feature[0] == Value("float32")) + ) + for column_name, feature in features.items() + ): + modalities.add("timeseries") + # other idea: detect datasets with only numerical columns and one timestamp column + # (and ideally be able to detect dates/timestamps even from a column with string type) + + return modalities + + +def detect_modalities_from_features(dataset: str) -> set[DatasetModality]: + """ + Detect modalities of a dataset using the features (column types). @@ -36 +92 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: - `tuple[DatasetModalitiesResponse, float]`: An object with the modalities_response and the progress. + `set[DatasetModality]`: A set of modalities. @@ -38,2 +93,0 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: - logging.info(f"compute 'dataset-modalities' for {dataset=}") - @@ -46,0 +101,4 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: + for config_info in content["dataset_info"].values(): + modalities.update(detect_features_modalities(features=Features.from_dict(config_info["features"]))) + except Exception as e: + raise PreviousStepFormatError("Previous step did not return the expected content.", e) from e @@ -48,10 +106 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: - def classify_modality(feature: FeatureType) -> None: - nonlocal modalities - if isinstance(feature, Audio): - modalities.add("audio") - elif isinstance(feature, Image): - modalities.add("image") - elif isinstance(feature, Value) and feature.dtype in ("string", "large_string"): - modalities.add("text") - elif isinstance(feature, (Translation, TranslationVariableLanguages)): - modalities.add("text") + return modalities @@ -59,3 +107,0 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: - for config_info in content["dataset_info"].values(): - features = Features.from_dict(config_info["features"]) - _visit(features, classify_modality) @@ -62,0 +109,132 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: +def detect_modalities_from_filetypes(dataset: str) -> set[DatasetModality]: + """ + Detect modalities of a dataset using the repository file extensions. + + Args: + dataset (`str`): + A namespace (user or an organization) and a repo name separated by a `/`. + + Raises: + [~`libcommon.simple_cache.CachedArtifactError`]: + If the previous step gave an error. + [~`libcommon.exceptions.PreviousStepFormatError`]: + If the content of the previous step has not the expected format + + Returns: + `set[DatasetModality]`: A set of modalities. + """ + dataset_filetypes_response = get_previous_step_or_raise(kind="dataset-filetypes", dataset=dataset) + content = dataset_filetypes_response["content"] + if "filetypes" not in content or not isinstance(content["filetypes"], list): + raise PreviousStepFormatError("Previous step did not return the expected content: 'filetypes'.") + + # from https://developer.mozilla.org/en-US/docs/Web/Media/Formats/Image_types + IMAGE_EXTENSIONS = ( + ".apng", + ".avif", + ".gif", + ".jpg", + ".jpeg", + ".jfif", + ".pjpeg", + ".pjp", + ".png", + ".svg", + "webp", + ".bmp", + ".ico", + ".cur", + ".tif", + ".tiff", + ) + # from https://developer.mozilla.org/en-US/docs/Web/Media/Formats/Containers#browser_compatibility + others + AUDIO_EXTENSIONS = ( + ".aac", + ".flac", + ".mp3", + ".m4a", + ".oga", + ".wav", + # other audio formats + ".weba", + ".opus", + ".spx", + ".wma", + ".aiff", + ".ape", + ".mka", + ".wv", + ".tak", + ) + AUDIO_BUT_COULD_ALSO_BE_VIDEO_EXTENSIONS = (".ogg",) + VIDEO_EXTENSIONS = ( + ".m4v", + ".m4p", + ".ogv", + ".mov", + ".mkv", + # other video formats + ".avi", + ".wmv", + ".flv", + ) + VIDEO_BUT_COULD_ALSO_BE_AUDIO_EXTENSIONS = (".3gp", ".mpg", ".mpeg", ".mp4", ".webm") + GEOSPATIAL_EXTENSIONS = ( + # vectorial + ".shp", + ".shx", + ".dbf", + ".prj", + ".cpg", + ".kml", + ".kmz", + ".gpx", + ".geojson", + ".topojson", + ".gml", + ".geoparquet", + ".fgb", + # raster + ".img", + ".bil", + ".bip", + ".bsq", + # geotiff uses .tif or .tiff, but better to just show "image" modality + # than wrongly put "geospatial" if it only contains tif images + # ".tif", + # ".tiff", + # vectorial or raster + ".gpkg", + ".mbtiles", + ".pmtiles", + ) + _3D_EXTENSIONS = ( + # from https://docs.unity3d.com/Manual/3D-formats.html + ".fbx", + ".dae", + ".dxf", + ".obj", + # other 3D formats + ".stl", + ".ply", + ".gltf", + ".glb", + ".usdz", + ) + TEXT_EXTENSIONS = (".txt",) + try: + modalities: set[DatasetModality] = set() + for filetype in content["filetypes"]: + # TODO: should we condition by a number of files (filetype["count"] > threshold) to avoid false positives? + if filetype["extension"] in IMAGE_EXTENSIONS: + modalities.add("image") + elif filetype["extension"] in AUDIO_EXTENSIONS + AUDIO_BUT_COULD_ALSO_BE_VIDEO_EXTENSIONS: + modalities.add("audio") + elif filetype["extension"] in VIDEO_EXTENSIONS + VIDEO_BUT_COULD_ALSO_BE_AUDIO_EXTENSIONS: + modalities.add("video") + elif filetype["extension"] in GEOSPATIAL_EXTENSIONS: + modalities.add("geospatial") + elif filetype["extension"] in _3D_EXTENSIONS: + modalities.add("3d") + elif filetype["extension"] in TEXT_EXTENSIONS: + modalities.add("text") @@ -65,0 +244,37 @@ def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: + return modalities + + +def compute_modalities_response(dataset: str) -> DatasetModalitiesResponse: + """ + Get the response of 'dataset-modalities' for one specific dataset on huggingface.co. + + Args: + dataset (`str`): + A namespace (user or an organization) and a repo name separated by a `/`. + + Raises: + [~`libcommon.exceptions.PreviousStepFormatError`]: + If the content of the previous step has not the expected format + + Returns: + `tuple[DatasetModalitiesResponse, float]`: An object with the modalities_response and the progress. + """ + logging.info(f"compute 'dataset-modalities' for {dataset=}") + + modalities: set[DatasetModality] = set() + try: + modalities.update(detect_modalities_from_features(dataset)) + except PreviousStepFormatError: + raise + except Exception: + logging.info(f"failed to detect modalities from features of {dataset=}") + pass + + try: + modalities.update(detect_modalities_from_filetypes(dataset)) + except PreviousStepFormatError: + raise + except Exception: + logging.info(f"failed to detect modalities from file types of {dataset=}") + pass + diff --git a/services/worker/tests/job_runners/dataset/test_modalities.py b/services/worker/tests/job_runners/dataset/test_modalities.py index ad282db0..e86271ac 100644 --- a/services/worker/tests/job_runners/dataset/test_modalities.py +++ b/services/worker/tests/job_runners/dataset/test_modalities.py @@ -9 +9 @@ import pytest -from datasets import Features, Image, Value +from datasets import Features, Image, Sequence, Value @@ -10,0 +11 @@ from libcommon.dtos import Priority +from libcommon.exceptions import PreviousStepFormatError @@ -12 +13 @@ from libcommon.resources import CacheMongoResource, QueueMongoResource -from libcommon.simple_cache import CachedArtifactError, upsert_response +from libcommon.simple_cache import upsert_response @@ -15,3 +16,2 @@ from worker.config import AppConfig -from worker.job_runners.dataset.modalities import ( - DatasetModalitiesJobRunner, -) +from worker.dtos import DatasetModalitiesResponse +from worker.job_runners.dataset.modalities import DatasetModalitiesJobRunner @@ -31,0 +32 @@ TEXT_DATASET = "text-dataset" +TABULAR_DATASET = "tabular-dataset" @@ -32,0 +34,2 @@ IMAGE_TEXT_DATASET = "image-text-dataset" +IMAGE_DATASET = "image-dataset" +TIME_SERIES_DATASET = "time-series-dataset" @@ -36,0 +40,4 @@ image_text_features = Features({"image": Image(), "caption": Value("string")}) +tabular_features = Features({"col1": Value("int8"), "col2": Value("float32")}) +not_tabular_features_1 = Features({"col1": Value("int8"), "col2": Value("float32"), "image": Image()}) +not_tabular_features_2 = Features({"col1": Value("int8"), "col2": Value("string")}) +time_series_features = Features({"window": Sequence(Value("float32")), "target": Value("float32")}) @@ -60 +67,45 @@ UPSTREAM_RESPONSE_INFO_IMAGE_TEXT: UpstreamResponse = UpstreamResponse( -UPSTREAM_RESPONSE_INFD_ERROR: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_INFO_TABULAR: UpstreamResponse = UpstreamResponse( + kind="dataset-info", + dataset=TABULAR_DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={ + "dataset_info": {"default": {"config_name": "default", "features": tabular_features.to_dict()}}, + "partial": False, + }, + progress=1.0, +) +UPSTREAM_RESPONSE_INFO_NOT_TABULAR_1: UpstreamResponse = UpstreamResponse( + kind="dataset-info", + dataset=IMAGE_DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={ + "dataset_info": {"default": {"config_name": "default", "features": not_tabular_features_1.to_dict()}}, + "partial": False, + }, + progress=1.0, +) +UPSTREAM_RESPONSE_INFO_NOT_TABULAR_2: UpstreamResponse = UpstreamResponse( + kind="dataset-info", + dataset=TEXT_DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={ + "dataset_info": {"default": {"config_name": "default", "features": not_tabular_features_2.to_dict()}}, + "partial": False, + }, + progress=1.0, +) +UPSTREAM_RESPONSE_INFO_TIME_SERIES: UpstreamResponse = UpstreamResponse( + kind="dataset-info", + dataset=TIME_SERIES_DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={ + "dataset_info": {"default": {"config_name": "default", "features": time_series_features.to_dict()}}, + "partial": False, + }, + progress=1.0, +) +UPSTREAM_RESPONSE_INFO_ERROR: UpstreamResponse = UpstreamResponse( @@ -68 +119,46 @@ UPSTREAM_RESPONSE_INFD_ERROR: UpstreamResponse = UpstreamResponse( -EXPECTED_TEXT = ( +UPSTREAM_RESPONSE_INFO_MALFORMED: UpstreamResponse = UpstreamResponse( + kind="dataset-info", + dataset=ERROR_DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + # The content is missing the "dataset_info" key + content={"bad": "content"}, + progress=0.0, +) + +UPSTREAM_RESPONSE_FILETYPES_TEXT: UpstreamResponse = UpstreamResponse( + kind="dataset-filetypes", + dataset=TEXT_DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={ + "filetypes": [ + {"extension": ".txt", "count": 1, "compressed_in": ".gz"}, + {"extension": ".gz", "count": 1}, + ], + "partial": False, + }, + progress=1.0, +) +UPSTREAM_RESPONSE_FILETYPES_ALL: UpstreamResponse = UpstreamResponse( + kind="dataset-filetypes", + dataset=TEXT_DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.OK, + content={ + "filetypes": [ + {"extension": ".txt", "count": 1, "compressed_in": ".gz"}, + {"extension": ".avi", "count": 1}, + {"extension": ".geoparquet", "count": 1, "archived_in": ".zip"}, + {"extension": ".gz", "count": 1}, + {"extension": ".zip", "count": 1}, + {"extension": ".jpg", "count": 1}, + {"extension": ".wav", "count": 1}, + {"extension": ".gltf", "count": 1}, + ], + "partial": False, + }, + progress=1.0, +) + +EXPECTED_TEXT: tuple[DatasetModalitiesResponse, float] = ( @@ -72 +168,9 @@ EXPECTED_TEXT = ( -EXPECTED_IMAGE_TEXT = ( +EXPECTED_TABULAR: tuple[DatasetModalitiesResponse, float] = ( + {"modalities": ["tabular"]}, + 1.0, +) +EXPECTED_IMAGE: tuple[DatasetModalitiesResponse, float] = ( + {"modalities": ["image"]}, + 1.0, +) +EXPECTED_IMAGE_TEXT: tuple[DatasetModalitiesResponse, float] = ( @@ -75,0 +180,21 @@ EXPECTED_IMAGE_TEXT = ( +EXPECTED_ALL_MODALITIES: tuple[DatasetModalitiesResponse, float] = ( + { + "modalities": [ + "3d", + "audio", + "geospatial", + "image", + "text", + "video", + ] + }, + 1.0, +) +EXPECTED_EMPTY: tuple[DatasetModalitiesResponse, float] = ( + {"modalities": []}, + 1.0, +) +EXPECTED_TIME_SERIES: tuple[DatasetModalitiesResponse, float] = ( + {"modalities": ["timeseries"]}, + 1.0, +) @@ -123,0 +249,57 @@ def get_job_runner( + ( + TEXT_DATASET, + [ + UPSTREAM_RESPONSE_FILETYPES_TEXT, + ], + EXPECTED_TEXT, + ), + ( + TEXT_DATASET, + [ + UPSTREAM_RESPONSE_INFO_TEXT, + UPSTREAM_RESPONSE_FILETYPES_TEXT, + ], + EXPECTED_TEXT, + ), + ( + TEXT_DATASET, + [ + UPSTREAM_RESPONSE_FILETYPES_ALL, + ], + EXPECTED_ALL_MODALITIES, + ), + ( + ERROR_DATASET, + [ + UPSTREAM_RESPONSE_INFO_ERROR, + ], + EXPECTED_EMPTY, + ), + ( + TABULAR_DATASET, + [ + UPSTREAM_RESPONSE_INFO_TABULAR, + ], + EXPECTED_TABULAR, + ), + ( + IMAGE_DATASET, + [ + UPSTREAM_RESPONSE_INFO_NOT_TABULAR_1, + ], + EXPECTED_IMAGE, + ), + ( + TEXT_DATASET, + [ + UPSTREAM_RESPONSE_INFO_NOT_TABULAR_2, + ], + EXPECTED_TEXT, + ), + ( + TIME_SERIES_DATASET, + [ + UPSTREAM_RESPONSE_INFO_TIME_SERIES, + ], + EXPECTED_TIME_SERIES, + ), @@ -147 +329 @@ def test_compute( - UPSTREAM_RESPONSE_INFD_ERROR, + UPSTREAM_RESPONSE_INFO_MALFORMED, @@ -149 +331 @@ def test_compute( - pytest.raises(CachedArtifactError), + pytest.raises(PreviousStepFormatError),
f102b46a717a7c8035f109133124993032efbbf9	Sylvain Lesage	[email protected]	2024-06-14T17:05:44	dataset-filetypes is not a small step (#2913)	diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index 7e0fe69b..e66e2703 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -725 +725 @@ specification: ProcessingGraphSpecification = { - "difficulty": 20, + "difficulty": 50,
1f5c680831526dbad5376754d2c9ec67a82c90dd	Sylvain Lesage	[email protected]	2024-06-13T20:48:48	fix: extensions are always lowercase (#2910)	diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py index 003f6b67..89e9a8cd 100644 --- a/services/worker/src/worker/utils.py +++ b/services/worker/src/worker/utils.py @@ -298,0 +299 @@ def get_file_extension(filename: str, recursive: bool = True, clean: bool = True + extension = extension.lower() diff --git a/services/worker/tests/job_runners/dataset/test_filetypes.py b/services/worker/tests/job_runners/dataset/test_filetypes.py index 6f75cbff..472c0cb8 100644 --- a/services/worker/tests/job_runners/dataset/test_filetypes.py +++ b/services/worker/tests/job_runners/dataset/test_filetypes.py @@ -32,0 +33,10 @@ from ..utils import REVISION_NAME + RepoSibling("file1.txt"), + RepoSibling("file2.tXt"), + RepoSibling("file2.TXT"), + ], + [ + Filetype(extension=".txt", count=3), + ], + ), + ( + [ diff --git a/services/worker/tests/test_utils.py b/services/worker/tests/test_utils.py index 90d7a255..792de251 100644 --- a/services/worker/tests/test_utils.py +++ b/services/worker/tests/test_utils.py @@ -37,0 +38,5 @@ from worker.utils import FileExtension, get_file_extension + # case insensitive + ("file.CSV", FileExtension(extension=".csv")), + ("file.CSv", FileExtension(extension=".csv")), + ("file.CSV?dl=1", FileExtension(extension=".csv")), + ("file.with.dots.TAR.GZ", FileExtension(extension=".gz", uncompressed_extension=".tar")),
ac75003943db399428db16b1f2453a2510105f6a	Remy	[email protected]	2024-06-13T18:17:14	feat(chart): move secrets to infisical (#2907)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 6a6be9ef..985316ab 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -68 +68 @@ secrets: - externalSecret: + infisical: @@ -70,13 +70 @@ secrets: - secretName: "datasets-server-prod-secrets" - secretStoreName: "datasets-server-prod-secretstore" - parameters: - MONGO_URL: "hub-prod-datasets-server-mongo-url" - HF_TOKEN: "hub-prod-datasets-server-hf-token" - PARQUET_CONVERTER_HF_TOKEN: "hub-prod-datasets-server-parquet-converter-hf-token" - WEBHOOK_SECRET: "hub-prod-datasets-server-webhook-secret" - SPAWNING_TOKEN: "hub-prod-datasets-server-spawning-token" - API_HF_JWT_ADDITIONAL_PUBLIC_KEYS: "hub-prod-datasets-server-jwt-additional-public-keys" - AWS_ACCESS_KEY_ID: "hub-prod-datasets-server-s3-access-key-id" - AWS_SECRET_ACCESS_KEY: "hub-prod-datasets-server-s3-secret-access-key" - CLOUDFRONT_KEY_PAIR_ID: "hub-prod-datasets-server-cloudfront-key-id" - CLOUDFRONT_PRIVATE_KEY: "hub-prod-datasets-server-cloudfront-key" + env: "prod-us-east-1" @@ -85 +73 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -88 +76 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -91 +79 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -94 +82 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -97 +85 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -100 +88 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -104 +92 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -107 +95 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -111 +99 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" @@ -114 +102 @@ secrets: - secretName: "datasets-server-prod-secrets" + secretName: "" diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml index eed44dd4..c7af4f29 100644 --- a/chart/env/staging.yaml +++ b/chart/env/staging.yaml @@ -65 +65 @@ secrets: - externalSecret: + infisical: @@ -67,13 +67 @@ secrets: - secretName: "datasets-server-staging-secrets" - secretStoreName: "datasets-server-ephemeral-secretstore" - parameters: - MONGO_URL: "hub-ephemeral-datasets-server-mongo-url" - HF_TOKEN: "hub-ephemeral-datasets-server-hf-token" - PARQUET_CONVERTER_HF_TOKEN: "hub-ephemeral-datasets-server-parquet-converter-hf-token" - WEBHOOK_SECRET: "hub-ephemeral-datasets-server-webhook-secret" - SPAWNING_TOKEN: "hub-ephemeral-datasets-server-spawning-token" - API_HF_JWT_ADDITIONAL_PUBLIC_KEYS: "hub-ephemeral-datasets-server-jwt-additional-public-keys" - AWS_ACCESS_KEY_ID: "hub-ephemeral-datasets-server-s3-access-key-id" - AWS_SECRET_ACCESS_KEY: "hub-ephemeral-datasets-server-s3-secret-access-key" - CLOUDFRONT_KEY_PAIR_ID: "hub-ephemeral-datasets-server-cloudfront-key-id" - CLOUDFRONT_PRIVATE_KEY: "hub-ephemeral-datasets-server-cloudfront-key" + env: "ephemeral-us-east-1" @@ -82 +70 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -85 +73 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -88 +76 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -91 +79 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -94 +82 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -97 +85 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -101 +89 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -104 +92 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -108 +96 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" @@ -111 +99 @@ secrets: - secretName: "datasets-server-staging-secrets" + secretName: "" diff --git a/chart/templates/_common/_helpers.tpl b/chart/templates/_common/_helpers.tpl index d9e080a1..edd00d65 100644 --- a/chart/templates/_common/_helpers.tpl +++ b/chart/templates/_common/_helpers.tpl @@ -202,0 +203,8 @@ note: keep $instanceAnnotations in first position during the merge, to avoid ove + + +{{/* +Return the secret name where Infisical secrets are loaded +*/}} +{{- define "datasetsServer.infisical.secretName" -}} +{{ include "name" $ }}-secs +{{- end -}} diff --git a/chart/templates/_env/_envCloudfront.tpl b/chart/templates/_env/_envCloudfront.tpl index 76823782..99a86ccf 100644 --- a/chart/templates/_env/_envCloudfront.tpl +++ b/chart/templates/_env/_envCloudfront.tpl @@ -11 +11 @@ - name: {{ .Values.secrets.cloudfront.keyPairId.secretName \| quote }} + name: {{ .Values.secrets.cloudfront.keyPairId.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} @@ -21 +21 @@ - name: {{ .Values.secrets.cloudfront.privateKey.secretName \| quote }} + name: {{ .Values.secrets.cloudfront.privateKey.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} diff --git a/chart/templates/_env/_envCommon.tpl b/chart/templates/_env/_envCommon.tpl index 6b90f665..cb1f9495 100644 --- a/chart/templates/_env/_envCommon.tpl +++ b/chart/templates/_env/_envCommon.tpl @@ -17,5 +17 @@ - {{- if eq .Values.secrets.appHfToken.secretName "" }} - name: {{ .Release.Name }}-datasets-server-app-token - {{- else }} - name: {{ .Values.secrets.appHfToken.secretName \| quote }} - {{- end }} + name: {{ .Values.secrets.appHfToken.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} @@ -33 +29 @@ valueFrom: - name: {{ .Values.secrets.mongoUrl.secretName \| quote }} + name: {{ .Values.secrets.mongoUrl.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} diff --git a/chart/templates/_env/_envDiscussions.tpl b/chart/templates/_env/_envDiscussions.tpl index 0105f77c..5b403750 100644 --- a/chart/templates/_env/_envDiscussions.tpl +++ b/chart/templates/_env/_envDiscussions.tpl @@ -11 +11 @@ - name: {{ .Values.secrets.appParquetConverterHfToken.secretName \| quote }} + name: {{ .Values.secrets.appParquetConverterHfToken.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} diff --git a/chart/templates/_env/_envHf.tpl b/chart/templates/_env/_envHf.tpl index 991ecdc1..36ff022a 100644 --- a/chart/templates/_env/_envHf.tpl +++ b/chart/templates/_env/_envHf.tpl @@ -13 +13 @@ - name: {{ .Values.secrets.hfJwtAdditionalPublicKeys.secretName \| quote }} + name: {{ .Values.secrets.hfJwtAdditionalPublicKeys.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} @@ -27 +27 @@ - name: {{ .Values.secrets.hfWebhookSecret.secretName \| quote }} + name: {{ .Values.secrets.hfWebhookSecret.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} diff --git a/chart/templates/_env/_envS3.tpl b/chart/templates/_env/_envS3.tpl index ff9ff36b..66dada65 100644 --- a/chart/templates/_env/_envS3.tpl +++ b/chart/templates/_env/_envS3.tpl @@ -11 +11 @@ - name: {{ .Values.secrets.s3.accessKeyId.secretName \| quote }} + name: {{ .Values.secrets.s3.accessKeyId.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} @@ -21 +21 @@ - name: {{ .Values.secrets.s3.secretAccessKey.secretName \| quote }} + name: {{ .Values.secrets.s3.secretAccessKey.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} diff --git a/chart/templates/_env/_envWorker.tpl b/chart/templates/_env/_envWorker.tpl index b7faa1bf..77a32beb 100644 --- a/chart/templates/_env/_envWorker.tpl +++ b/chart/templates/_env/_envWorker.tpl @@ -42 +42 @@ - name: {{ .Values.secrets.appParquetConverterHfToken.secretName \| quote }} + name: {{ .Values.secrets.appParquetConverterHfToken.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} @@ -73 +73 @@ - name: {{ .Values.secrets.spawningToken.secretName \| quote }} + name: {{ .Values.secrets.spawningToken.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} @@ -92 +92 @@ - name: {{ .Values.secrets.appParquetConverterHfToken.secretName \| quote }} + name: {{ .Values.secrets.appParquetConverterHfToken.secretName \| default (include "datasetsServer.infisical.secretName" $) \| quote }} diff --git a/chart/templates/secrets.yaml b/chart/templates/secrets.yaml index 6e371747..1c063c83 100644 --- a/chart/templates/secrets.yaml +++ b/chart/templates/secrets.yaml @@ -1,3 +1,3 @@ -{{- if .Values.secrets.externalSecret.enabled }} -apiVersion: "external-secrets.io/v1beta1" -kind: ExternalSecret +{{- if .Values.secrets.infisical.enabled }} +apiVersion: secrets.infisical.com/v1alpha1 +kind: InfisicalSecret @@ -5 +5 @@ metadata: - name: {{ include "name" $ }}-external-secret + name: {{ include "name" $ }}-infisical-secret @@ -8,13 +8,17 @@ spec: - refreshInterval: 1h - secretStoreRef: - name: {{ .Values.secrets.externalSecret.secretStoreName }} - kind: SecretStore - target: - name: {{ .Values.secrets.externalSecret.secretName }} - data: - {{- range $key, $value := .Values.secrets.externalSecret.parameters }} - - secretKey: {{ $key \| quote }} - remoteRef: - key: {{ $value \| quote }} - {{- end }} -{{- end }} \ No newline at end of file + authentication: + universalAuth: + credentialsRef: + secretName: {{ .Values.secrets.infisical.operatorSecretName \| quote }} + secretNamespace: {{ .Values.secrets.infisical.operatorSecretNamespace \| quote }} + secretsScope: + envSlug: {{ .Values.secrets.infisical.env \| quote }} + projectSlug: {{ .Values.secrets.infisical.project \| quote }} + secretsPath: / + hostAPI: {{ .Values.secrets.infisical.url \| quote }} + managedSecretReference: + creationPolicy: Owner + secretName: {{ include "datasetsServer.infisical.secretName" $ }} + secretNamespace: {{ .Release.Namespace \| quote }} + secretType: Opaque + resyncInterval: {{ .Values.secrets.infisical.resyncInterval }} +{{- end }} diff --git a/chart/values.yaml b/chart/values.yaml index 64b92111..9ed840d2 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -96 +96 @@ secrets: - externalSecret: + infisical: @@ -98,3 +98,6 @@ secrets: - secretName: "" - secretStoreName: "" - parameters: {} + env: "" + project: "datasets-server-n5x-l" + url: "" + resyncInterval: 60 + operatorSecretName: "datasets-server-operator-secrets" + operatorSecretNamespace: "datasets-server" @@ -126 +129 @@ secrets: - secretName: "spawning-token" + secretName: "" @@ -130 +133 @@ secrets: - secretName: "aws-access-key-id" + secretName: "" @@ -133 +136 @@ secrets: - secretName: "aws-secret-access-key" + secretName: ""
47b00dea1fc4105e4c2a42205301845f4247f499	Polina Kazakova	[email protected]	2024-06-13T16:09:13	Use `HfFileSystem` in config-parquet-metadata step instead of `HttpFileSystem` (#2897)	diff --git a/libs/libapi/src/libapi/duckdb.py b/libs/libapi/src/libapi/duckdb.py index 536bde7d..f1689e3f 100644 --- a/libs/libapi/src/libapi/duckdb.py +++ b/libs/libapi/src/libapi/duckdb.py @@ -15 +15 @@ from libcommon.constants import SPLIT_DUCKDB_INDEX_KIND -from libcommon.parquet_utils import extract_split_name_from_parquet_url +from libcommon.parquet_utils import extract_split_directory_from_parquet_url @@ -47 +47 @@ async def get_index_file_location_and_download_if_missing( - split_directory = extract_split_name_from_parquet_url(url) + split_directory = extract_split_directory_from_parquet_url(url) diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py index 0dd52ac4..6236b7a8 100644 --- a/libs/libcommon/src/libcommon/parquet_utils.py +++ b/libs/libcommon/src/libcommon/parquet_utils.py @@ -88 +88 @@ def parquet_export_is_partial(parquet_file_url: str) -> bool: - split_directory_name_for_parquet_export = extract_split_name_from_parquet_url(parquet_file_url) + split_directory_name_for_parquet_export = extract_split_directory_from_parquet_url(parquet_file_url) @@ -92 +92 @@ def parquet_export_is_partial(parquet_file_url: str) -> bool: -def extract_split_name_from_parquet_url(parquet_url: str) -> str: +def extract_split_directory_from_parquet_url(parquet_url: str) -> str: diff --git a/libs/libcommon/tests/test_parquet_utils.py b/libs/libcommon/tests/test_parquet_utils.py index 88c63989..14904283 100644 --- a/libs/libcommon/tests/test_parquet_utils.py +++ b/libs/libcommon/tests/test_parquet_utils.py @@ -25 +25 @@ from libcommon.parquet_utils import ( - extract_split_name_from_parquet_url, + extract_split_directory_from_parquet_url, @@ -507,2 +507,2 @@ def test_indexer_schema_mistmatch_error( -def test_extract_split_name_from_parquet_url(parquet_url: str, expected: str) -> None: - split_name = extract_split_name_from_parquet_url(parquet_url) +def test_extract_split_directory_from_parquet_url(parquet_url: str, expected: str) -> None: + split_name = extract_split_directory_from_parquet_url(parquet_url) 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 029f91e9..9874e9e3 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 @@ -46 +45,0 @@ from huggingface_hub.hf_api import CommitInfo, DatasetInfo, HfApi, RepoFile -from huggingface_hub.hf_file_system import HfFileSystem, HfFileSystemFile @@ -88,0 +88 @@ from worker.utils import ( + retry_on_arrow_invalid_open_file, @@ -95 +94,0 @@ MAX_OPERATIONS_PER_COMMIT = 500 -SLEEPS = [0.2, 1, 1, 10, 10, 10] @@ -579,5 +577,0 @@ class TooBigRowGroupsError(ParquetValidationError): -def open_file(file_url: str, hf_endpoint: str, hf_token: Optional[str]) -> HfFileSystemFile: - fs = HfFileSystem(endpoint=hf_endpoint, token=hf_token) - return fs.open(file_url) - - @@ -595 +589 @@ def retry_validate_get_num_examples_and_size( - f = retry(on=[pa.ArrowInvalid], sleeps=SLEEPS)(open_file)(url, hf_endpoint, hf_token) + f = retry_on_arrow_invalid_open_file(url, hf_endpoint, hf_token) @@ -620 +614 @@ def retry_validate_get_features_num_examples_size_and_compression_ratio( - f = retry(on=[pa.ArrowInvalid], sleeps=SLEEPS)(open_file)(url, hf_endpoint, hf_token) + f = retry_on_arrow_invalid_open_file(url, hf_endpoint, hf_token) 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 7c646e92..55f93af0 100644 --- a/services/worker/src/worker/job_runners/config/parquet_metadata.py +++ b/services/worker/src/worker/job_runners/config/parquet_metadata.py @@ -8,2 +8 @@ from typing import Optional -import aiohttp -from fsspec.implementations.http import HTTPFileSystem +from libcommon.constants import PARQUET_REVISION @@ -15,0 +15 @@ from libcommon.exceptions import ( +from libcommon.parquet_utils import extract_split_directory_from_parquet_url @@ -18 +17,0 @@ from libcommon.storage import StrPath -from libcommon.utils import retry @@ -19,0 +19 @@ from libcommon.viewer_utils.parquet_metadata import create_parquet_metadata_file +from pyarrow.parquet import ParquetFile @@ -29,3 +29 @@ from worker.job_runners.config.config_job_runner import ConfigJobRunner -from worker.utils import get_parquet_file - -SLEEPS = [0.2, 1, 1, 10, 10, 10] +from worker.utils import hffs_parquet_url, retry_on_arrow_invalid_open_file @@ -35 +33 @@ def create_parquet_metadata_file_from_remote_parquet( - parquet_file_item: SplitHubFile, fs: HTTPFileSystem, hf_token: Optional[str], parquet_metadata_directory: StrPath + parquet_file_item: SplitHubFile, hf_endpoint: str, hf_token: Optional[str], parquet_metadata_directory: StrPath @@ -36,0 +35,7 @@ def create_parquet_metadata_file_from_remote_parquet( + split_directory = extract_split_directory_from_parquet_url(parquet_file_item["url"]) + hfh_parquet_file_path = hffs_parquet_url( + repo_id=parquet_file_item["dataset"], + config=parquet_file_item["config"], + split_directory=split_directory, + filename=parquet_file_item["filename"], + ) @@ -38,2 +43,4 @@ def create_parquet_metadata_file_from_remote_parquet( - retry_get_parquet_file = retry(on=[aiohttp.ServerConnectionError], sleeps=SLEEPS)(get_parquet_file) - parquet_file = retry_get_parquet_file(url=parquet_file_item["url"], fs=fs, hf_token=hf_token) + f = retry_on_arrow_invalid_open_file( + file_url=hfh_parquet_file_path, hf_endpoint=hf_endpoint, hf_token=hf_token, revision=PARQUET_REVISION + ) + parquet_file_metadata = ParquetFile(f).metadata @@ -50 +57 @@ def create_parquet_metadata_file_from_remote_parquet( - parquet_file_metadata=parquet_file.metadata, + parquet_file_metadata=parquet_file_metadata, @@ -53,0 +61 @@ def create_parquet_metadata_file_from_remote_parquet( + f.close() @@ -61 +69 @@ def create_parquet_metadata_file_from_remote_parquet( - num_rows=parquet_file.metadata.num_rows, + num_rows=parquet_file_metadata.num_rows, @@ -67 +75 @@ def compute_parquet_metadata_response( - dataset: str, config: str, hf_token: Optional[str], parquet_metadata_directory: StrPath + dataset: str, config: str, hf_endpoint: str, hf_token: Optional[str], parquet_metadata_directory: StrPath @@ -78,0 +87,2 @@ def compute_parquet_metadata_response( + hf_endpoint (`str`): + The Hub endpoint (for example: "https://huggingface.co") @@ -117 +126,0 @@ def compute_parquet_metadata_response( - fs = HTTPFileSystem() @@ -122 +131 @@ def compute_parquet_metadata_response( - fs=fs, + hf_endpoint=hf_endpoint, @@ -159,0 +169 @@ class ConfigParquetMetadataJobRunner(ConfigJobRunner): + hf_endpoint=self.app_config.common.hf_endpoint, diff --git a/services/worker/src/worker/job_runners/split/descriptive_statistics.py b/services/worker/src/worker/job_runners/split/descriptive_statistics.py index c5747f58..ed8bb6aa 100644 --- a/services/worker/src/worker/job_runners/split/descriptive_statistics.py +++ b/services/worker/src/worker/job_runners/split/descriptive_statistics.py @@ -22 +22 @@ from libcommon.parquet_utils import ( - extract_split_name_from_parquet_url, + extract_split_directory_from_parquet_url, @@ -179 +179 @@ def compute_descriptive_statistics_response( - split_directory = extract_split_name_from_parquet_url(split_parquet_files[0]["url"]) + split_directory = extract_split_directory_from_parquet_url(split_parquet_files[0]["url"]) 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 1970b609..c21a6dd9 100644 --- a/services/worker/src/worker/job_runners/split/duckdb_index.py +++ b/services/worker/src/worker/job_runners/split/duckdb_index.py @@ -32 +32 @@ from libcommon.parquet_utils import ( - extract_split_name_from_parquet_url, + extract_split_directory_from_parquet_url, @@ -230 +230 @@ def compute_split_duckdb_index_response( - split_directory = extract_split_name_from_parquet_url(split_parquet_files[0]["url"]) + split_directory = extract_split_directory_from_parquet_url(split_parquet_files[0]["url"]) diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py index 7f2d669f..003f6b67 100644 --- a/services/worker/src/worker/utils.py +++ b/services/worker/src/worker/utils.py @@ -18,2 +18,2 @@ from datasets import Dataset, DatasetInfo, DownloadConfig, Features, IterableDat -from datasets.utils.file_utils import SINGLE_FILE_COMPRESSION_EXTENSION_TO_PROTOCOL, get_authentication_headers_for_url -from fsspec.implementations.http import HTTPFileSystem +from datasets.utils.file_utils import SINGLE_FILE_COMPRESSION_EXTENSION_TO_PROTOCOL +from huggingface_hub import HfFileSystem, HfFileSystemFile @@ -36 +36 @@ from libcommon.utils import retry -from pyarrow.parquet import ParquetFile +from pyarrow import ArrowInvalid @@ -145,3 +145,19 @@ def hf_hub_url(repo_id: str, filename: str, hf_endpoint: str, revision: str, url -def get_parquet_file(url: str, fs: HTTPFileSystem, hf_token: Optional[str]) -> ParquetFile: - headers = get_authentication_headers_for_url(url, token=hf_token) - return ParquetFile(fs.open(url, headers=headers)) +def hffs_parquet_url(repo_id: str, config: str, split_directory: str, filename: str) -> str: + """Construct url of a parquet file on the Hub, to be used with HfFileSystem.""" + return f"hf://datasets/{repo_id}/{config}/{split_directory}/{filename}" + + +def hf_hub_open_file( + file_url: str, hf_endpoint: str, hf_token: Optional[str], revision: Optional[str] = None +) -> HfFileSystemFile: + """Open file with the HfFileSystem.""" + fs = HfFileSystem(endpoint=hf_endpoint, token=hf_token) + return fs.open(file_url, revision=revision) + + +# used by `config-parquet-and-info` and `config-parquet-metadata` steps +@retry(on=[ArrowInvalid], sleeps=[0.2, 1, 1, 10, 10, 10]) +def retry_on_arrow_invalid_open_file( + file_url: str, hf_endpoint: str, hf_token: Optional[str], revision: Optional[str] = None +) -> HfFileSystemFile: + return hf_hub_open_file(file_url=file_url, hf_endpoint=hf_endpoint, hf_token=hf_token, revision=revision) 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 a7e7d908..8e21731c 100644 --- a/services/worker/tests/job_runners/config/test_parquet_metadata.py +++ b/services/worker/tests/job_runners/config/test_parquet_metadata.py @@ -16,0 +17 @@ from huggingface_hub import hf_hub_url +from libcommon.constants import PARQUET_REVISION @@ -19 +20 @@ from libcommon.exceptions import PreviousStepFormatError -from libcommon.parquet_utils import ParquetIndexWithMetadata +from libcommon.parquet_utils import ParquetIndexWithMetadata, extract_split_directory_from_parquet_url @@ -30,0 +32 @@ from worker.job_runners.config.parquet_metadata import ConfigParquetMetadataJobR +from worker.utils import hffs_parquet_url @@ -45,2 +47,5 @@ GetJobRunner = Callable[[str, str, AppConfig], ConfigParquetMetadataJobRunner] -dummy_parquet_buffer = io.BytesIO() -pq.write_table(pa.table({"a": [0, 1, 2]}), dummy_parquet_buffer) + +def get_dummy_parquet_buffer() -> io.BytesIO: + dummy_parquet_buffer = io.BytesIO() + pq.write_table(pa.table({"a": [0, 1, 2]}), dummy_parquet_buffer) + return dummy_parquet_buffer @@ -226 +231 @@ def get_job_runner( - dataset="with_features", + dataset="more_than_10k_files", @@ -234 +239 @@ def get_job_runner( - dataset="with_features", + dataset="more_than_10k_files", @@ -249 +254 @@ def get_job_runner( - dataset="with_features", + dataset="more_than_10k_files", @@ -256 +261 @@ def get_job_runner( - parquet_metadata_subpath="with_features/--/config_1/train-part0/filename1", + parquet_metadata_subpath="more_than_10k_files/--/config_1/train-part0/filename1", @@ -259 +264 @@ def get_job_runner( - dataset="with_features", + dataset="more_than_10k_files", @@ -266 +271 @@ def get_job_runner( - parquet_metadata_subpath="with_features/--/config_1/train-part1/filename2", + parquet_metadata_subpath="more_than_10k_files/--/config_1/train-part1/filename2", @@ -301,4 +306,6 @@ def test_compute( - with patch("worker.job_runners.config.parquet_metadata.get_parquet_file") as mock_ParquetFile: - mock_ParquetFile.return_value = pq.ParquetFile(dummy_parquet_buffer) - assert job_runner.compute().content == expected_content - assert mock_ParquetFile.call_count == len(upstream_content["parquet_files"]) + with patch("worker.utils.hf_hub_open_file") as mock_OpenFile: + # create a new buffer within each test run since the file is closed under the hood in .compute() + mock_OpenFile.return_value = get_dummy_parquet_buffer() + content = job_runner.compute().content + assert content == expected_content + assert mock_OpenFile.call_count == len(upstream_content["parquet_files"]) @@ -306,2 +313,7 @@ def test_compute( - mock_ParquetFile.assert_any_call( - url=parquet_file_item["url"], fs=HTTPFileSystem(), hf_token=app_config.common.hf_token + split_directory = extract_split_directory_from_parquet_url(parquet_file_item["url"]) + path = hffs_parquet_url(dataset, config, split_directory, parquet_file_item["filename"]) + mock_OpenFile.assert_any_call( + file_url=path, + hf_endpoint=app_config.common.hf_endpoint, + hf_token=app_config.common.hf_token, + revision=PARQUET_REVISION, @@ -309,2 +321,2 @@ def test_compute( - assert expected_content["parquet_files_metadata"] - for parquet_file_metadata_item in expected_content["parquet_files_metadata"]: + assert content["parquet_files_metadata"] + for parquet_file_metadata_item in content["parquet_files_metadata"]: @@ -316 +328 @@ def test_compute( - == pq.ParquetFile(dummy_parquet_buffer).metadata + == pq.ParquetFile(get_dummy_parquet_buffer()).metadata
5adb106029d6a765048b2437978ef3f2e10a1135	Sylvain Lesage	[email protected]	2024-06-13T15:13:06	Add step dataset-filetypes (#2905)	diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index 934e2f6a..7e0fe69b 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -720,0 +721,6 @@ specification: ProcessingGraphSpecification = { + "dataset-filetypes": { + "input_type": "dataset", + # no "triggered_by" <- this is a root step + "job_runner_version": 1, + "difficulty": 20, + }, diff --git a/libs/libcommon/tests/test_backfill_on_real_graph.py b/libs/libcommon/tests/test_backfill_on_real_graph.py index 8d534a71..753cbe44 100644 --- a/libs/libcommon/tests/test_backfill_on_real_graph.py +++ b/libs/libcommon/tests/test_backfill_on_real_graph.py @@ -63,0 +64 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-filetypes,dataset,revision", @@ -72 +73 @@ def test_plan_job_creation_and_termination() -> None: - tasks=["CreateJobs,13"], + tasks=["CreateJobs,14"], @@ -101,0 +103 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-filetypes,dataset,revision", @@ -122,0 +125 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-filetypes,dataset,revision", @@ -186,0 +190 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-filetypes,dataset,revision", @@ -206,0 +211 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-filetypes,dataset,revision", diff --git a/libs/libcommon/tests/test_operations.py b/libs/libcommon/tests/test_operations.py index 629ecec5..73d06363 100644 --- a/libs/libcommon/tests/test_operations.py +++ b/libs/libcommon/tests/test_operations.py @@ -18 +17,0 @@ from libcommon.constants import CONFIG_SPLIT_NAMES_KIND, DATASET_CONFIG_NAMES_KI -from libcommon.dtos import JobResult @@ -393 +392 @@ def test_delete_obsolete_cache( -def test_2274_only_one_entry( +def test_2274_only_first_steps( @@ -398 +397 @@ def test_2274_only_one_entry( - FIRST_CACHE_KIND = "dataset-config-names" + FIRST_CACHE_KINDS = ["dataset-config-names", "dataset-filetypes"] @@ -404 +403 @@ def test_2274_only_one_entry( - # first update: one job is created + # first update: two jobs are created @@ -410,2 +409,2 @@ def test_2274_only_one_entry( - assert len(pending_jobs_df) == 1 - assert pending_jobs_df.iloc[0]["type"] == FIRST_CACHE_KIND + assert len(pending_jobs_df) == 2 + assert pending_jobs_df.iloc[0]["type"] in FIRST_CACHE_KINDS @@ -414,17 +413,16 @@ def test_2274_only_one_entry( - # start the first (and only) job - job_info = queue.start_job() - - # finish the started job - job_result: JobResult = { - "job_info": job_info, - "job_runner_version": JOB_RUNNER_VERSION, - "is_success": True, - "output": { - "content": {}, - "http_status": HTTPStatus.OK, - "error_code": None, - "details": None, - "progress": 1.0, - }, - } - finish_job(job_result=job_result) + # process the first two jobs + for _ in range(2): + finish_job( + job_result={ + "job_info": queue.start_job(), + "job_runner_version": JOB_RUNNER_VERSION, + "is_success": True, + "output": { + "content": {}, + "http_status": HTTPStatus.OK, + "error_code": None, + "details": None, + "progress": 1.0, + }, + } + ) @@ -433 +431 @@ def test_2274_only_one_entry( - assert len(get_cache_entries_df(dataset=dataset)) == 1 + assert len(get_cache_entries_df(dataset=dataset)) == 2 @@ -439 +437 @@ def test_2274_only_one_entry( - assert len(get_cache_entries_df(dataset=dataset)) == 1 + assert len(get_cache_entries_df(dataset=dataset)) == 2 @@ -445 +443 @@ def test_2274_only_one_entry( - assert len(get_cache_entries_df(dataset=dataset)) == 1 + assert len(get_cache_entries_df(dataset=dataset)) == 2 @@ -452 +450 @@ def test_2274_only_one_entry( - assert len(get_cache_entries_df(dataset=dataset)) == 1 + assert len(get_cache_entries_df(dataset=dataset)) == 2 diff --git a/libs/libcommon/tests/test_processing_graph.py b/libs/libcommon/tests/test_processing_graph.py index ac9b729b..f3fcb787 100644 --- a/libs/libcommon/tests/test_processing_graph.py +++ b/libs/libcommon/tests/test_processing_graph.py @@ -417,0 +418,6 @@ def test_graph() -> None: + ( + "dataset-filetypes", + [], + [], + [], + ), @@ -427 +433 @@ def test_default_graph_first_steps() -> None: - roots = ["dataset-config-names"] + roots = ["dataset-config-names", "dataset-filetypes"] diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py index 50472706..1a6d210a 100644 --- a/services/worker/src/worker/dtos.py +++ b/services/worker/src/worker/dtos.py @@ -353,0 +354,14 @@ class DatasetHubCacheResponse(TypedDict): +class _Filetype(TypedDict): + extension: str + count: int + + +class Filetype(_Filetype, total=False): + archived_in: str + compressed_in: str + + +class DatasetFiletypesResponse(TypedDict): + filetypes: list[Filetype] + + diff --git a/services/worker/src/worker/job_runner_factory.py b/services/worker/src/worker/job_runner_factory.py index 4da653d4..1a4dcc93 100644 --- a/services/worker/src/worker/job_runner_factory.py +++ b/services/worker/src/worker/job_runner_factory.py @@ -32,0 +33 @@ from worker.job_runners.dataset.duckdb_index_size import ( +from worker.job_runners.dataset.filetypes import DatasetFiletypesJobRunner @@ -93,0 +95,6 @@ class JobRunnerFactory(BaseJobRunnerFactory): + if job_type == DatasetFiletypesJobRunner.get_job_type(): + return DatasetFiletypesJobRunner( + job_info=job_info, + app_config=self.app_config, + hf_datasets_cache=self.hf_datasets_cache, + ) @@ -253,31 +260 @@ class JobRunnerFactory(BaseJobRunnerFactory): - supported_job_types = [ - DatasetConfigNamesJobRunner.get_job_type(), - ConfigSplitNamesJobRunner.get_job_type(), - SplitFirstRowsJobRunner.get_job_type(), - ConfigParquetAndInfoJobRunner.get_job_type(), - ConfigParquetJobRunner.get_job_type(), - DatasetParquetJobRunner.get_job_type(), - DatasetInfoJobRunner.get_job_type(), - ConfigInfoJobRunner.get_job_type(), - DatasetSizeJobRunner.get_job_type(), - ConfigSizeJobRunner.get_job_type(), - SplitIsValidJobRunner.get_job_type(), - ConfigIsValidJobRunner.get_job_type(), - DatasetIsValidJobRunner.get_job_type(), - SplitImageUrlColumnsJobRunner.get_job_type(), - SplitOptInOutUrlsScanJobRunner.get_job_type(), - SplitOptInOutUrlsCountJobRunner.get_job_type(), - ConfigOptInOutUrlsCountJobRunner.get_job_type(), - DatasetOptInOutUrlsCountJobRunner.get_job_type(), - SplitPresidioEntitiesScanJobRunner.get_job_type(), - DatasetPresidioEntitiesCountJobRunner.get_job_type(), - SplitDuckDbIndexJobRunner.get_job_type(), - SplitDescriptiveStatisticsJobRunner.get_job_type(), - ConfigDuckdbIndexSizeJobRunner.get_job_type(), - DatasetDuckdbIndexSizeJobRunner.get_job_type(), - DatasetHubCacheJobRunner.get_job_type(), - DatasetCompatibleLibrariesJobRunner.get_job_type(), - DatasetModalitiesJobRunner.get_job_type(), - DatasetCroissantCrumbsJobRunner.get_job_type(), - ] - raise KeyError(f"Unsupported job type: '{job_type}'. The supported job types are: {supported_job_types}") + raise KeyError(f"Unsupported job type: '{job_type}'.") diff --git a/services/worker/src/worker/job_runners/dataset/filetypes.py b/services/worker/src/worker/job_runners/dataset/filetypes.py new file mode 100644 index 00000000..0edd9d85 --- /dev/null +++ b/services/worker/src/worker/job_runners/dataset/filetypes.py @@ -0,0 +1,126 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import logging +from collections import Counter +from typing import Optional + +from datasets import DownloadConfig, StreamingDownloadManager +from datasets.utils.file_utils import xbasename +from huggingface_hub.hf_api import HfApi, RepoSibling +from huggingface_hub.utils import RepositoryNotFoundError +from libcommon.exceptions import DatasetNotFoundError + +from worker.dtos import CompleteJobResult, DatasetFiletypesResponse, Filetype +from worker.job_runners.dataset.dataset_job_runner import DatasetJobRunnerWithDatasetsCache +from worker.utils import FileExtensionTuple, get_file_extension + + +def extension_to_filetype(file_extension_tuple: FileExtensionTuple, count: int) -> Filetype: + if file_extension_tuple[1]: + return Filetype(extension=file_extension_tuple[0], count=count, compressed_in=file_extension_tuple[1]) + return Filetype(extension=file_extension_tuple[0], count=count) + + +def get_filetypes(siblings: list[RepoSibling]) -> list[Filetype]: + # count by extension + + counter = Counter[FileExtensionTuple]( + t for sibling in siblings for t in get_file_extension(sibling.rfilename).get_tuples() + ) + + return [extension_to_filetype(k, v) for k, v in counter.items()] + + +def get_counter_from_archive( + dataset: str, + archive_filename: str, + hf_token: Optional[str] = None, +) -> Counter[FileExtensionTuple]: + dl_manager = StreamingDownloadManager(download_config=DownloadConfig(token=hf_token)) + base_url = f"hf://datasets/{dataset}/" + archived_in = get_file_extension(archive_filename, recursive=False, clean=False).extension + return Counter[FileExtensionTuple]( + (get_file_extension(xbasename(filename), recursive=False, clean=False).extension, archived_in) + for filename in dl_manager.iter_files(dl_manager.extract(base_url + archive_filename)) + ) + + +def get_filetypes_from_archives( + dataset: str, + archive_filenames: list[str], + hf_token: Optional[str] = None, +) -> list[Filetype]: + counter = Counter[FileExtensionTuple]() + for archive_filename in archive_filenames: + counter.update(get_counter_from_archive(dataset=dataset, archive_filename=archive_filename, hf_token=hf_token)) + return [ + Filetype(extension=extension, count=v, archived_in=archived_in) + if archived_in + else Filetype(extension=extension, count=v) + for (extension, archived_in), v in counter.items() + ] + + +def compute_filetypes_response( + dataset: str, + hf_endpoint: str, + hf_token: Optional[str] = None, +) -> DatasetFiletypesResponse: + """ + Get the response of 'dataset-filetypes' for one specific dataset on huggingface.co. + It is assumed that the dataset exists and can be accessed using the token. + + Args: + dataset (`str`): + A namespace (user or an organization) and a repo name separated by a `/`. + hf_token (`str`, optional): + An authentication token (See https://huggingface.co/settings/token) + + Raises: + [~`huggingface_hub.utils.RepositoryNotFoundError`]: + If repository is not found (error 404): wrong repo_id/repo_type, private + but not authenticated or repo does not exist. + + Returns: + `DatasetFiletypesResponse`: An object with the files count for each extension. + """ + logging.info(f"compute 'dataset-filetypes' for {dataset=}") + + # get the list of files + try: + info = HfApi(endpoint=hf_endpoint, token=hf_token).dataset_info(dataset) + except RepositoryNotFoundError as err: + raise DatasetNotFoundError(f"Cannot get the dataset info for {dataset=}") from err + + # get file types count + filetypes = get_filetypes(info.siblings) + + # look into the zip archives to get the file types + SUPPORTED_ARCHIVE_EXTENSIONS = [".zip"] + archive_filenames = [ + sibling.rfilename + for sibling in info.siblings + if get_file_extension(sibling.rfilename, recursive=False, clean=False).extension + in SUPPORTED_ARCHIVE_EXTENSIONS + ] + filetypes_from_archives = get_filetypes_from_archives( + dataset=dataset, archive_filenames=archive_filenames, hf_token=hf_token + ) + + return DatasetFiletypesResponse(filetypes=filetypes + filetypes_from_archives) + + +class DatasetFiletypesJobRunner(DatasetJobRunnerWithDatasetsCache): + @staticmethod + def get_job_type() -> str: + return "dataset-filetypes" + + def compute(self) -> CompleteJobResult: + return CompleteJobResult( + compute_filetypes_response( + dataset=self.dataset, + hf_endpoint=self.app_config.common.hf_endpoint, + hf_token=self.app_config.common.hf_token, + ) + ) diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py index 4b303c56..7f2d669f 100644 --- a/services/worker/src/worker/utils.py +++ b/services/worker/src/worker/utils.py @@ -5,0 +6 @@ import logging +import os @@ -8,0 +10 @@ import warnings +from dataclasses import dataclass, field @@ -16 +18 @@ from datasets import Dataset, DatasetInfo, DownloadConfig, Features, IterableDat -from datasets.utils.file_utils import get_authentication_headers_for_url +from datasets.utils.file_utils import SINGLE_FILE_COMPRESSION_EXTENSION_TO_PROTOCOL, get_authentication_headers_for_url @@ -240,0 +243,49 @@ def raise_if_long_column_name(features: Optional[Features]) -> None: + + +FileExtensionTuple = tuple[str, Optional[str]] + + +@dataclass +class FileExtension: + extension: str + uncompressed_extension: Optional[str] = field(default=None) + + def get_tuples(self) -> list[FileExtensionTuple]: + """ + Get the extension and the archived extension if it exists. + + The list contains two entries if the uncompressed extension exists (for the compressed and the uncompressed files), + otherwise one entry. + """ + if self.uncompressed_extension: + return [ + (self.extension, None), + (self.uncompressed_extension, self.extension), + ] + return [(self.extension, None)] + + +def get_file_extension(filename: str, recursive: bool = True, clean: bool = True) -> FileExtension: + """ + Get the extension of a file. + + In the case of .tar.gz or other "double extensions", the uncompressed file extension is set in the uncompressed_extension field + + Args: + filename (`str`): The name of the file. + recursive (`bool`, optional): Whether to recursively extract the extension of the archive. + clean (`bool`, optional): Whether to clean the extension by removing special characters. + + Returns: + FileExtension: the extension of the file + """ + [base, extension] = os.path.splitext(filename) + # special cases we find in datasets (gz?dl=1 -> gz, txt_1 -> txt, txt-00000-of-00100-> txt) + # https://github.com/huggingface/datasets/blob/af3acfdfcf76bb980dbac871540e30c2cade0cf9/src/datasets/utils/file_utils.py#L795 + if clean: + for symb in "?-_": + extension = extension.split(symb)[0] + if recursive and extension.lstrip(".") in SINGLE_FILE_COMPRESSION_EXTENSION_TO_PROTOCOL: + uncompressed_extension = get_file_extension(base, recursive=False, clean=False) + return FileExtension(extension=extension, uncompressed_extension=uncompressed_extension.extension) + return FileExtension(extension=extension) diff --git a/services/worker/tests/conftest.py b/services/worker/tests/conftest.py index ded059bc..3ae4f9ec 100644 --- a/services/worker/tests/conftest.py +++ b/services/worker/tests/conftest.py @@ -110,0 +111,11 @@ def app_config(set_env_vars: MonkeyPatch) -> Iterator[AppConfig]: +@fixture +def app_config_prod(set_env_vars: MonkeyPatch) -> Iterator[AppConfig]: + mp = MonkeyPatch() + mp.setenv("COMMON_HF_ENDPOINT", "https://huggingface.co") + 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") + yield app_config + mp.undo() + + diff --git a/services/worker/tests/job_runners/dataset/test_filetypes.py b/services/worker/tests/job_runners/dataset/test_filetypes.py new file mode 100644 index 00000000..6f75cbff --- /dev/null +++ b/services/worker/tests/job_runners/dataset/test_filetypes.py @@ -0,0 +1,161 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + + +from collections.abc import Callable + +import pytest +from huggingface_hub.hf_api import RepoSibling +from libcommon.dtos import Priority + +from worker.config import AppConfig +from worker.dtos import Filetype +from worker.job_runners.dataset.filetypes import DatasetFiletypesJobRunner, get_filetypes, get_filetypes_from_archives +from worker.resources import LibrariesResource + +from ..utils import REVISION_NAME + + [email protected]( + "siblings,expected_filetypes", + [ + ( + [ + RepoSibling("file1.txt"), + RepoSibling("file2.txt"), + ], + [ + Filetype(extension=".txt", count=2), + ], + ), + ( + [ + RepoSibling("file1.txt"), + RepoSibling("file2.txt"), + RepoSibling("file3.csv"), + RepoSibling("file3.tar"), + RepoSibling("file3.tar.gz"), + RepoSibling("file3.tar.gz_1"), + RepoSibling("file3.tar.gz-1"), + RepoSibling("file3.tar.gz?dl=1-1"), + RepoSibling("file.gz"), + RepoSibling("file.json.gz"), + RepoSibling(".gitignore"), + ], + [ + Filetype(extension=".txt", count=2), + Filetype(extension=".csv", count=1), + Filetype(extension=".tar", count=1), + Filetype(extension=".gz", count=6), + Filetype(extension=".tar", count=4, compressed_in=".gz"), + Filetype(extension=".json", count=1, compressed_in=".gz"), + Filetype(extension="", count=1), + ], + ), + ], +) +def test_get_filetypes(siblings: list[RepoSibling], expected_filetypes: list[Filetype]) -> None: + filetypes = get_filetypes(siblings) + assert filetypes == expected_filetypes + + [email protected]_dataset [email protected]( + "dataset,archive_filenames,filetypes", + [ + ( + "severo/LILA", + ["data/Caltech_Camera_Traps.jsonl.zip"], + [ + Filetype(extension=".jsonl", count=1, archived_in=".zip"), + ], + ), + ( + "severo/winogavil", + ["winogavil_images.zip"], + [ + Filetype(extension=".jpg", count=2044, archived_in=".zip"), + ], + ), + ], +) +def test_get_filetypes_from_archive( + use_hub_prod_endpoint: pytest.MonkeyPatch, + dataset: str, + archive_filenames: list[str], + filetypes: list[Filetype], +) -> None: + assert ( + get_filetypes_from_archives(dataset=dataset, archive_filenames=archive_filenames, hf_token=None) == filetypes + ) + + +GetJobRunner = Callable[[str, AppConfig], DatasetFiletypesJobRunner] + + [email protected] +def get_job_runner( + libraries_resource: LibrariesResource, +) -> GetJobRunner: + def _get_job_runner( + dataset: str, + app_config: AppConfig, + ) -> DatasetFiletypesJobRunner: + return DatasetFiletypesJobRunner( + job_info={ + "type": DatasetFiletypesJobRunner.get_job_type(), + "params": { + "dataset": dataset, + "revision": REVISION_NAME, + "config": None, + "split": None, + }, + "job_id": "job_id", + "priority": Priority.NORMAL, + "difficulty": 50, + }, + app_config=app_config, + hf_datasets_cache=libraries_resource.hf_datasets_cache, + ) + + return _get_job_runner + + [email protected]_dataset [email protected]( + "dataset,filetypes", + [ + ( + "severo/LILA", + [ + Filetype(extension="", count=1), + Filetype(extension=".py", count=1), + Filetype(extension=".zip", count=18), + Filetype(extension=".md", count=1), + Filetype(extension=".jsonl", count=18, archived_in=".zip"), + ], + ), + ( + "severo/winogavil", + [ + Filetype(extension="", count=1), + Filetype(extension=".md", count=1), + Filetype(extension=".py", count=1), + Filetype(extension=".csv", count=1), + Filetype(extension=".zip", count=1), + Filetype(extension=".jpg", count=2044, archived_in=".zip"), + ], + ), + ], +) +def test_compute( + app_config_prod: AppConfig, + use_hub_prod_endpoint: pytest.MonkeyPatch, + dataset: str, + filetypes: list[Filetype], + get_job_runner: GetJobRunner, +) -> None: + job_runner = get_job_runner(dataset, app_config_prod) + response = job_runner.compute() + content = response.content + assert content["filetypes"] == filetypes diff --git a/services/worker/tests/test_utils.py b/services/worker/tests/test_utils.py new file mode 100644 index 00000000..90d7a255 --- /dev/null +++ b/services/worker/tests/test_utils.py @@ -0,0 +1,42 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + + +import pytest + +from worker.utils import FileExtension, get_file_extension + + [email protected]( + "filename,expected_extension", + [ + ("README.md", FileExtension(extension=".md")), + ("file.csv", FileExtension(extension=".csv")), + # leading dots are ignored + (".gitattributes", FileExtension(extension="")), + (".file.csv", FileExtension(extension=".csv")), + ("....file.csv", FileExtension(extension=".csv")), + # no extension + ("LICENSE", FileExtension(extension="")), + # multiple dots + ("file.with.dots.csv", FileExtension(extension=".csv")), + # clean suffixes + ("file.csv?dl=1", FileExtension(extension=".csv")), + ("file.csv_1", FileExtension(extension=".csv")), + ("file.csv-00000-of-00001", FileExtension(extension=".csv")), + # ignore paths + ("path/to/file.csv", FileExtension(extension=".csv")), + (".path/to.some/file.csv", FileExtension(extension=".csv")), + ("path/to/.gitignore", FileExtension(extension="")), + # double extensions + ("file.tar.gz", FileExtension(extension=".gz", uncompressed_extension=".tar")), + ("file.with.dots.tar.gz", FileExtension(extension=".gz", uncompressed_extension=".tar")), + ("file.tar.bz2", FileExtension(extension=".bz2", uncompressed_extension=".tar")), + ("file.jsonl.gz", FileExtension(extension=".gz", uncompressed_extension=".jsonl")), + ("file.tar.unknown", FileExtension(extension=".unknown")), + ("file.tar", FileExtension(extension=".tar")), + ], +) +def test_get_file_extension(filename: str, expected_extension: FileExtension) -> None: + assert get_file_extension(filename).extension == expected_extension.extension + assert get_file_extension(filename).uncompressed_extension == expected_extension.uncompressed_extension
eba63f5f6a05552e9c2a6889801feaa4f9c4c8fa	Sylvain Lesage	[email protected]	2024-06-13T13:57:19	2754 partial instead of error (#2900)	diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py index d608069a..50472706 100644 --- a/services/worker/src/worker/dtos.py +++ b/services/worker/src/worker/dtos.py @@ -347 +347 @@ class DatasetHubCacheResponse(TypedDict): - num_rows: int + num_rows: Optional[int] diff --git a/services/worker/src/worker/job_runners/dataset/hub_cache.py b/services/worker/src/worker/job_runners/dataset/hub_cache.py index 52384552..f47b5b9d 100644 --- a/services/worker/src/worker/job_runners/dataset/hub_cache.py +++ b/services/worker/src/worker/job_runners/dataset/hub_cache.py @@ -54,17 +54,23 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f - size_response = get_previous_step_or_raise(kind="dataset-size", dataset=dataset) - content = size_response["content"] - if ( - "partial" not in content - or not isinstance(content["partial"], bool) - or "size" not in content - or "dataset" not in content["size"] - or "num_rows" not in content["size"]["dataset"] - or not isinstance(content["size"]["dataset"]["num_rows"], int) - ): - raise PreviousStepFormatError( - "Previous step 'dataset-size' did not return the expected content: 'partial' or 'size.dataset.num_rows'." - ) - - partial = content["partial"] - num_rows = content["size"]["dataset"]["num_rows"] - size_progress = size_response["progress"] + try: + size_response = get_previous_step_or_raise(kind="dataset-size", dataset=dataset) + content = size_response["content"] + if ( + "partial" not in content + or not isinstance(content["partial"], bool) + or "size" not in content + or "dataset" not in content["size"] + or "num_rows" not in content["size"]["dataset"] + or not isinstance(content["size"]["dataset"]["num_rows"], int) + ): + raise PreviousStepFormatError( + "Previous step 'dataset-size' did not return the expected content: 'partial' or 'size.dataset.num_rows'." + ) + partial = content["partial"] + num_rows = content["size"]["dataset"]["num_rows"] + size_progress = size_response["progress"] + except (CachedArtifactNotFoundError, PreviousStepFormatError): + raise + except Exception: + partial = False + num_rows = None + size_progress = 0.0 @@ -91,0 +98,2 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f + except Exception: + logging.info("Error while parsing 'dataset-compatible-libraries' response. We let the fields empty.") @@ -101,0 +110,2 @@ def compute_hub_cache_response(dataset: str) -> tuple[DatasetHubCacheResponse, f + except Exception: + logging.info("Error while parsing 'dataset-modalities' response. We let the field empty.") diff --git a/services/worker/tests/job_runners/dataset/test_hub_cache.py b/services/worker/tests/job_runners/dataset/test_hub_cache.py index 7b1219c8..cd29c4de 100644 --- a/services/worker/tests/job_runners/dataset/test_hub_cache.py +++ b/services/worker/tests/job_runners/dataset/test_hub_cache.py @@ -11 +11 @@ from libcommon.resources import CacheMongoResource, QueueMongoResource -from libcommon.simple_cache import CachedArtifactError, upsert_response +from libcommon.simple_cache import CachedArtifactError, CachedArtifactNotFoundError, upsert_response @@ -13,0 +14 @@ from worker.config import AppConfig +from worker.dtos import DatasetFormat, DatasetHubCacheResponse, DatasetLibrary, DatasetModality, DatasetTag @@ -28 +29,4 @@ DATASET = "dataset" - +TAG: DatasetTag = "croissant" +LIBRARY: DatasetLibrary = "mlcroissant" +FORMAT: DatasetFormat = "json" +MODALITY: DatasetModality = "image" @@ -52,0 +57,8 @@ UPSTREAM_RESPONSE_SIZE_OK: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_SIZE_ERROR: UpstreamResponse = UpstreamResponse( + kind="dataset-size", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.INTERNAL_SERVER_ERROR, + content={}, + progress=0.0, +) @@ -66 +78 @@ UPSTREAM_RESPONSE_COMPATIBLE_LIBRARIES_OK: UpstreamResponse = UpstreamResponse( - content={"tags": ["tag"], "libraries": [{"library": "library"}], "formats": ["format"]}, + content={"tags": [TAG], "libraries": [{"library": LIBRARY}], "formats": [FORMAT]}, @@ -68,0 +81,8 @@ UPSTREAM_RESPONSE_COMPATIBLE_LIBRARIES_OK: UpstreamResponse = UpstreamResponse( +UPSTREAM_RESPONSE_COMPATIBLE_LIBRARIES_ERROR: UpstreamResponse = UpstreamResponse( + kind="dataset-compatible-libraries", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.INTERNAL_SERVER_ERROR, + content={}, + progress=0.0, +) @@ -74 +94 @@ UPSTREAM_RESPONSE_MODALITIES_OK: UpstreamResponse = UpstreamResponse( - content={"tags": ["tag"], "modalities": ["modality"]}, + content={"tags": [TAG], "modalities": [MODALITY]}, @@ -77 +97,9 @@ UPSTREAM_RESPONSE_MODALITIES_OK: UpstreamResponse = UpstreamResponse( -EXPECTED_OK = ( +UPSTREAM_RESPONSE_MODALITIES_ERROR: UpstreamResponse = UpstreamResponse( + kind="dataset-modalities", + dataset=DATASET, + dataset_git_revision=REVISION_NAME, + http_status=HTTPStatus.INTERNAL_SERVER_ERROR, + content={}, + progress=0.0, +) +EXPECTED_OK: tuple[DatasetHubCacheResponse, float] = ( @@ -90 +118 @@ EXPECTED_OK = ( -EXPECTED_NO_PROGRESS = ( +EXPECTED_NO_PROGRESS: tuple[DatasetHubCacheResponse, float] = ( @@ -103 +131,14 @@ EXPECTED_NO_PROGRESS = ( -EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS = ( +EXPECTED_NO_SIZE: tuple[DatasetHubCacheResponse, float] = ( + { + "viewer": False, + "preview": True, + "partial": False, + "num_rows": None, + "tags": [], + "libraries": [], + "modalities": [], + "formats": [], + }, + 0.0, +) +EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS: tuple[DatasetHubCacheResponse, float] = ( @@ -109,2 +150,2 @@ EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS = ( - "tags": ["tag"], - "libraries": ["library"], + "tags": [TAG], + "libraries": [LIBRARY], @@ -112 +153 @@ EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS = ( - "formats": ["format"], + "formats": [FORMAT], @@ -116 +157 @@ EXPECTED_OK_WITH_LIBRARIES_AND_FORMATS = ( -EXPECTED_OK_WITH_MODALITIES = ( +EXPECTED_OK_WITH_MODALITIES: tuple[DatasetHubCacheResponse, float] = ( @@ -124 +165 @@ EXPECTED_OK_WITH_MODALITIES = ( - "modalities": ["modality"], + "modalities": [MODALITY], @@ -191,0 +233,23 @@ def get_job_runner( + ( + [ + UPSTREAM_RESPONSE_IS_VALID_OK, + UPSTREAM_RESPONSE_SIZE_ERROR, + ], + EXPECTED_NO_SIZE, + ), + ( + [ + UPSTREAM_RESPONSE_IS_VALID_OK, + UPSTREAM_RESPONSE_SIZE_OK, + UPSTREAM_RESPONSE_COMPATIBLE_LIBRARIES_ERROR, + ], + EXPECTED_OK, + ), + ( + [ + UPSTREAM_RESPONSE_IS_VALID_OK, + UPSTREAM_RESPONSE_SIZE_OK, + UPSTREAM_RESPONSE_MODALITIES_ERROR, + ], + EXPECTED_OK, + ), @@ -211,0 +276,4 @@ def test_compute( + ( + [], + pytest.raises(CachedArtifactNotFoundError), + ), @@ -218 +286 @@ def test_compute( - ) + ),
e7e674ad8dcd0f8fcd1e2ede0591fd8c0afb4ee3	Albert Villanova del Moral	[email protected]	2024-06-12T11:25:17	Fix skipped async tests caused by pytest-memray (#2904)	diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 74b53b16..f5f97212 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -119 +119 @@ jobs: - poetry run python -m pytest --memray -vv -s tests + poetry run python -m pytest -vv -s tests diff --git a/.github/workflows/_unit-tests-python.yml b/.github/workflows/_unit-tests-python.yml index 76729ac5..ef87e955 100644 --- a/.github/workflows/_unit-tests-python.yml +++ b/.github/workflows/_unit-tests-python.yml @@ -62 +62 @@ jobs: - run: poetry run python -m pytest --memray -s + run: poetry run python -m pytest -s diff --git a/services/admin/Makefile b/services/admin/Makefile index 60d9f370..4190a41b 100644 --- a/services/admin/Makefile +++ b/services/admin/Makefile @@ -27 +27 @@ test: - $(POETRY) run python -m pytest --memray -vv -x ${ADDOPTS} $(TEST_PATH) + $(POETRY) run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH) @@ -30 +30 @@ test: - PROMETHEUS_MULTIPROC_DIR=/tmp/admin.prometheus $(POETRY) run python -m pytest --memray -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) + PROMETHEUS_MULTIPROC_DIR=/tmp/admin.prometheus $(POETRY) run python -m pytest -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) diff --git a/services/api/Makefile b/services/api/Makefile index f89fc4df..213f09f7 100644 --- a/services/api/Makefile +++ b/services/api/Makefile @@ -27 +27 @@ test: - $(POETRY) run python -m pytest --memray -vv -x ${ADDOPTS} $(TEST_PATH) + $(POETRY) run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH) @@ -30 +30 @@ test: - PROMETHEUS_MULTIPROC_DIR=/tmp/api.prometheus $(POETRY) run python -m pytest --memray -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) + PROMETHEUS_MULTIPROC_DIR=/tmp/api.prometheus $(POETRY) run python -m pytest -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) diff --git a/services/rows/Makefile b/services/rows/Makefile index e6014c21..7fbeaaae 100644 --- a/services/rows/Makefile +++ b/services/rows/Makefile @@ -27 +27 @@ test: - $(POETRY) run python -m pytest --memray -vv -x ${ADDOPTS} $(TEST_PATH) + $(POETRY) run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH) @@ -30 +30 @@ test: - PROMETHEUS_MULTIPROC_DIR=/tmp/rows.prometheus $(POETRY) run python -m pytest --memray -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) + PROMETHEUS_MULTIPROC_DIR=/tmp/rows.prometheus $(POETRY) run python -m pytest -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) diff --git a/services/search/Makefile b/services/search/Makefile index 42a1ba85..fd795b8d 100644 --- a/services/search/Makefile +++ b/services/search/Makefile @@ -28 +28 @@ test: - $(POETRY) run python -m pytest --memray -vv -x ${ADDOPTS} $(TEST_PATH) + $(POETRY) run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH) @@ -31 +31 @@ test: - PROMETHEUS_MULTIPROC_DIR=/tmp/search.prometheus $(POETRY) run python -m pytest --memray -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) + PROMETHEUS_MULTIPROC_DIR=/tmp/search.prometheus $(POETRY) run python -m pytest -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) diff --git a/services/webhook/Makefile b/services/webhook/Makefile index b55964e6..883efb30 100644 --- a/services/webhook/Makefile +++ b/services/webhook/Makefile @@ -27 +27 @@ test: - $(POETRY) run python -m pytest --memray -vv -x ${ADDOPTS} $(TEST_PATH) + $(POETRY) run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH) @@ -30 +30 @@ test: - PROMETHEUS_MULTIPROC_DIR=/tmp/webhook.prometheus $(POETRY) run python -m pytest --memray -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) + PROMETHEUS_MULTIPROC_DIR=/tmp/webhook.prometheus $(POETRY) run python -m pytest -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) diff --git a/tools/PythonTest.mk b/tools/PythonTest.mk index 93dc7738..7b95249d 100644 --- a/tools/PythonTest.mk +++ b/tools/PythonTest.mk @@ -7 +7 @@ test: - $(POETRY) run python -m pytest --memray -vv -x ${ADDOPTS} $(TEST_PATH) + $(POETRY) run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH) @@ -13 +13 @@ debug: - $(POETRY) run python -m pytest --memray -vv -x --log-cli-level=DEBUG --capture=tee-sys --pdb ${ADDOPTS} $(TEST_PATH) + $(POETRY) run python -m pytest -vv -x --log-cli-level=DEBUG --capture=tee-sys --pdb ${ADDOPTS} $(TEST_PATH)
00a9fa9eeef36086e641b47f1fb4673bfc35b1b4	Albert Villanova del Moral	[email protected]	2024-06-12T08:03:44	Minor fix id with length of str dataset name (#2902)	diff --git a/libs/libcommon/src/libcommon/orchestrator.py b/libs/libcommon/src/libcommon/orchestrator.py index 9981e12f..360ce645 100644 --- a/libs/libcommon/src/libcommon/orchestrator.py +++ b/libs/libcommon/src/libcommon/orchestrator.py @@ -170 +170 @@ class DeleteDatasetWaitingJobsTask(Task): - self.id = f"DeleteDatasetJobs,{len(self.dataset)}" + self.id = f"DeleteDatasetJobs,{self.dataset}" @@ -193 +193 @@ class DeleteDatasetCacheEntriesTask(Task): - self.id = f"DeleteDatasetCacheEntries,{len(self.dataset)}" + self.id = f"DeleteDatasetCacheEntries,{self.dataset}"
04f89d8a76e73874c9198c940ad2e61fe71f6f76	Albert Villanova del Moral	[email protected]	2024-06-11T10:44:09	Remove Prometheus context label (#2896)	diff --git a/libs/libapi/src/libapi/authentication.py b/libs/libapi/src/libapi/authentication.py index 909f8a06..5b07b878 100644 --- a/libs/libapi/src/libapi/authentication.py +++ b/libs/libapi/src/libapi/authentication.py @@ -99 +98,0 @@ async def auth_check( - context=f"external_auth_url={external_auth_url} timeout={hf_timeout_seconds}", diff --git a/libs/libcommon/src/libcommon/orchestrator.py b/libs/libcommon/src/libcommon/orchestrator.py index 973ccee3..9981e12f 100644 --- a/libs/libcommon/src/libcommon/orchestrator.py +++ b/libs/libcommon/src/libcommon/orchestrator.py @@ -128 +127,0 @@ class CreateJobsTask(Task): - context=f"num_jobs_to_create={len(self.job_infos)}", @@ -159 +157,0 @@ class DeleteWaitingJobsTask(Task): - context=f"num_jobs_to_delete={len(self.jobs_df)}", @@ -185 +182,0 @@ class DeleteDatasetWaitingJobsTask(Task): - context=f"dataset={self.dataset}", @@ -209 +205,0 @@ class DeleteDatasetCacheEntriesTask(Task): - context=f"dataset={self.dataset}", @@ -234 +229,0 @@ class DeleteDatasetStorageTask(Task): - context=f"dataset={self.dataset},storage_client={self.storage_client}", @@ -490 +484,0 @@ class DatasetBackfillPlan(Plan): - context=f"dataset={self.dataset}", @@ -495 +488,0 @@ class DatasetBackfillPlan(Plan): - context=f"dataset={self.dataset}", @@ -512 +504,0 @@ class DatasetBackfillPlan(Plan): - context=f"dataset={self.dataset}", @@ -530 +521,0 @@ class DatasetBackfillPlan(Plan): - context=f"dataset={self.dataset}", @@ -552 +542,0 @@ class DatasetBackfillPlan(Plan): - context=f"dataset={self.dataset}", @@ -558 +547,0 @@ class DatasetBackfillPlan(Plan): - context=f"dataset={self.dataset}", diff --git a/libs/libcommon/src/libcommon/prometheus.py b/libs/libcommon/src/libcommon/prometheus.py index 8b63682b..8fc7ad61 100644 --- a/libs/libcommon/src/libcommon/prometheus.py +++ b/libs/libcommon/src/libcommon/prometheus.py @@ -71 +71 @@ METHOD_STEPS_PROCESSING_TIME = Histogram( - ["method", "step", "context"], + ["method", "step"], @@ -76 +76 @@ METHOD_LONG_STEPS_PROCESSING_TIME = Histogram( - ["method", "step", "context"], + ["method", "step"], @@ -119 +119 @@ class StepProfiler: - >>> with StepProfiler("method", "step", "context") as profiler: + >>> with StepProfiler("method", "step") as profiler: @@ -125 +124,0 @@ class StepProfiler: - context (`str`, optional): An optional string that adds context. If None, the label "None" is used. @@ -128 +127 @@ class StepProfiler: - def __init__(self, method: str, step: str, context: Optional[str] = None, histogram: Optional[Histogram] = None): + def __init__(self, method: str, step: str, histogram: Optional[Histogram] = None): @@ -132 +130,0 @@ class StepProfiler: - self.context = str(context) @@ -148 +145,0 @@ class StepProfiler: - context=self.context, @@ -153,2 +150,2 @@ class LongStepProfiler(StepProfiler): - def __init__(self, method: str, step: str, context: Optional[str] = None): - super().__init__(method, step, context, histogram=METHOD_LONG_STEPS_PROCESSING_TIME) + def __init__(self, method: str, step: str): + super().__init__(method, step, histogram=METHOD_LONG_STEPS_PROCESSING_TIME) diff --git a/libs/libcommon/src/libcommon/state.py b/libs/libcommon/src/libcommon/state.py index fa03e0b1..d5636105 100644 --- a/libs/libcommon/src/libcommon/state.py +++ b/libs/libcommon/src/libcommon/state.py @@ -202 +201,0 @@ class ConfigState: - context=f"dataset={self.dataset},config={self.config}", @@ -225 +223,0 @@ class ConfigState: - context=f"dataset={self.dataset},config={self.config}", @@ -246 +243,0 @@ class ConfigState: - context=f"dataset={self.dataset},config={self.config}", @@ -280 +276,0 @@ class DatasetState: - context=f"dataset={self.dataset}", @@ -307 +302,0 @@ class DatasetState: - context=f"dataset={self.dataset}", @@ -328 +322,0 @@ class DatasetState: - context=f"dataset={self.dataset}", @@ -354 +347,0 @@ class FirstStepsDatasetState(DatasetState): - context=f"dataset={self.dataset}", diff --git a/libs/libcommon/tests/test_prometheus.py b/libs/libcommon/tests/test_prometheus.py index 0b27ea79..6a2f6899 100644 --- a/libs/libcommon/tests/test_prometheus.py +++ b/libs/libcommon/tests/test_prometheus.py @@ -64 +63,0 @@ def check_histogram_metric( - context: str, @@ -68 +67 @@ def check_histogram_metric( - labels = {"context": context, "method": method, "step": step} + labels = {"method": method, "step": step} @@ -81 +79,0 @@ def test_step_profiler() -> None: - context = "None" @@ -85 +83 @@ def test_step_profiler() -> None: - check_histogram_metric(metrics=metrics, method=method, step=step_all, context=context, events=1, duration=duration) + check_histogram_metric(metrics=metrics, method=method, step=step_all, events=1, duration=duration) @@ -92 +89,0 @@ def test_step_profiler_with_custom_buckets() -> None: - context = "None" @@ -96 +93 @@ def test_step_profiler_with_custom_buckets() -> None: - check_histogram_metric(metrics=metrics, method=method, step=step_all, context=context, events=1, duration=duration) + check_histogram_metric(metrics=metrics, method=method, step=step_all, events=1, duration=duration) @@ -102 +98,0 @@ def test_nested_step_profiler() -> None: - context = "None" @@ -106 +101,0 @@ def test_nested_step_profiler() -> None: - context_1 = "None" @@ -109 +103,0 @@ def test_nested_step_profiler() -> None: - context_2 = "endpoint: /splits" @@ -113 +107 @@ def test_nested_step_profiler() -> None: - with StepProfiler(method, step_1, context_1): + with StepProfiler(method, step_1): @@ -115 +109 @@ def test_nested_step_profiler() -> None: - with StepProfiler(method, step_2, context_2): + with StepProfiler(method, step_2): @@ -122 +115,0 @@ def test_nested_step_profiler() -> None: - context=context, @@ -126,6 +119,2 @@ def test_nested_step_profiler() -> None: - check_histogram_metric( - metrics=metrics, method=method, step=step_1, context=context_1, events=2, duration=duration_1a + duration_1b - ) - check_histogram_metric( - metrics=metrics, method=method, step=step_2, context=context_2, events=1, duration=duration_2 - ) + check_histogram_metric(metrics=metrics, method=method, step=step_1, events=2, duration=duration_1a + duration_1b) + check_histogram_metric(metrics=metrics, method=method, step=step_2, events=1, duration=duration_2) diff --git a/services/api/src/api/routes/endpoint.py b/services/api/src/api/routes/endpoint.py index 5507cd27..9287d20b 100644 --- a/services/api/src/api/routes/endpoint.py +++ b/services/api/src/api/routes/endpoint.py @@ -109 +109 @@ def create_endpoint( - context = f"endpoint: {endpoint_name}" + method = f"processing_step_endpoint: {endpoint_name}" @@ -111 +111 @@ def create_endpoint( - with StepProfiler(method="processing_step_endpoint", step="all", context=context): + with StepProfiler(method=method, step="all"): @@ -114 +114 @@ def create_endpoint( - method="processing_step_endpoint", + method=method, @@ -116 +115,0 @@ def create_endpoint( - context=context, @@ -129 +128 @@ def create_endpoint( - with StepProfiler(method="processing_step_endpoint", step="check authentication", context=context): + with StepProfiler(method=method, step="check authentication"): @@ -139 +138 @@ def create_endpoint( - with StepProfiler(method="processing_step_endpoint", step="get cache entry", context=context): + with StepProfiler(method=method, step="get cache entry"): @@ -167 +166 @@ def create_endpoint( - with StepProfiler(method="processing_step_endpoint", step="sign assets urls", context=context): + with StepProfiler(method=method, step="sign assets urls"): @@ -171 +170 @@ def create_endpoint( - method="processing_step_endpoint", + method=method, @@ -173 +171,0 @@ def create_endpoint( - context=context, @@ -176 +174 @@ def create_endpoint( - with StepProfiler(method="processing_step_endpoint", step="generate OK response", context=context): + with StepProfiler(method=method, step="generate OK response"): @@ -179 +177 @@ def create_endpoint( - with StepProfiler(method="processing_step_endpoint", step="generate error response", context=context): + with StepProfiler(method=method, step="generate error response"): @@ -191,3 +189 @@ def create_endpoint( - with StepProfiler( - method="processing_step_endpoint", step="generate API error response", context=context - ): + with StepProfiler(method=method, step="generate API error response"): diff --git a/services/api/tests/test_app.py b/services/api/tests/test_app.py index fb478022..1e73afd7 100644 --- a/services/api/tests/test_app.py +++ b/services/api/tests/test_app.py @@ -109,3 +109 @@ def test_metrics(client: TestClient) -> None: - steps_processing_time_metric = ( - 'method_steps_processing_time_seconds_sum{context="None",method="healthcheck_endpoint",step="all"}' - ) + steps_processing_time_metric = 'method_steps_processing_time_seconds_sum{method="healthcheck_endpoint",step="all"}' diff --git a/services/rows/tests/test_app.py b/services/rows/tests/test_app.py index 3ca3e7ab..96930b40 100644 --- a/services/rows/tests/test_app.py +++ b/services/rows/tests/test_app.py @@ -92,3 +92 @@ def test_metrics(client: TestClient) -> None: - steps_processing_time_metric = ( - 'method_steps_processing_time_seconds_sum{context="None",method="healthcheck_endpoint",step="all"}' - ) + steps_processing_time_metric = 'method_steps_processing_time_seconds_sum{method="healthcheck_endpoint",step="all"}' diff --git a/services/search/tests/test_app.py b/services/search/tests/test_app.py index e853f507..5f191fa6 100644 --- a/services/search/tests/test_app.py +++ b/services/search/tests/test_app.py @@ -94,3 +94 @@ def test_metrics(client: TestClient) -> None: - steps_processing_time_metric = ( - 'method_steps_processing_time_seconds_sum{context="None",method="healthcheck_endpoint",step="all"}' - ) + steps_processing_time_metric = 'method_steps_processing_time_seconds_sum{method="healthcheck_endpoint",step="all"}' diff --git a/services/sse-api/tests/test_app.py b/services/sse-api/tests/test_app.py index c730c2ba..6a08302e 100644 --- a/services/sse-api/tests/test_app.py +++ b/services/sse-api/tests/test_app.py @@ -86,3 +86 @@ async def test_metrics(client: httpx.AsyncClient) -> None: - steps_processing_time_metric = ( - 'method_steps_processing_time_seconds_sum{context="None",method="healthcheck_endpoint",step="all"}' - ) + steps_processing_time_metric = 'method_steps_processing_time_seconds_sum{method="healthcheck_endpoint",step="all"}' diff --git a/services/webhook/tests/test_app.py b/services/webhook/tests/test_app.py index d5472cbd..dba3c91a 100644 --- a/services/webhook/tests/test_app.py +++ b/services/webhook/tests/test_app.py @@ -66,3 +66 @@ def test_metrics(client: TestClient) -> None: - steps_processing_time_metric = ( - 'method_steps_processing_time_seconds_sum{context="None",method="healthcheck_endpoint",step="all"}' - ) + steps_processing_time_metric = 'method_steps_processing_time_seconds_sum{method="healthcheck_endpoint",step="all"}' diff --git a/services/worker/src/worker/loop.py b/services/worker/src/worker/loop.py index ad4f9d2c..9b4bc7f1 100644 --- a/services/worker/src/worker/loop.py +++ b/services/worker/src/worker/loop.py @@ -126 +126 @@ class Loop: - with LongStepProfiler("loop", "run_job", job_info["type"]): + with LongStepProfiler("loop", "run_job"):
19c049499af1b37cf4d9dfa93b58657d66b75337	Albert Villanova del Moral	[email protected]	2024-06-10T13:53:59	Make StorageClient not warn when deleting a non-existing directory (#2891)	diff --git a/libs/libcommon/src/libcommon/storage_client.py b/libs/libcommon/src/libcommon/storage_client.py index d5bd5002..d1b14ba9 100644 --- a/libs/libcommon/src/libcommon/storage_client.py +++ b/libs/libcommon/src/libcommon/storage_client.py @@ -111,0 +112,2 @@ class StorageClient: + except FileNotFoundError: + return 0
57c2cafaaf85e2e150bc58b645f2d9cefcc4f937	Albert Villanova del Moral	[email protected]	2024-06-10T09:41:22	Fix string representation of storage client (#2893)	diff --git a/libs/libcommon/src/libcommon/storage_client.py b/libs/libcommon/src/libcommon/storage_client.py index 8b650786..d5bd5002 100644 --- a/libs/libcommon/src/libcommon/storage_client.py +++ b/libs/libcommon/src/libcommon/storage_client.py @@ -116,2 +116,2 @@ class StorageClient: - def __repr__(self) -> str: - return f"StorageClient(protocol={self.protocol}, storage_root={self.storage_root}, base_url={self.base_url}, overwrite={self.overwrite}), url_signer={self.url_signer})" + def __str__(self) -> str: + return f"StorageClient(protocol={self.protocol}, storage_root={self.storage_root}, base_url={self.base_url}, overwrite={self.overwrite}, url_signer={self.url_signer})" diff --git a/libs/libcommon/src/libcommon/url_signer.py b/libs/libcommon/src/libcommon/url_signer.py index a6d33f6c..1abcb10e 100644 --- a/libs/libcommon/src/libcommon/url_signer.py +++ b/libs/libcommon/src/libcommon/url_signer.py @@ -81,0 +82,3 @@ class URLSigner(ABC): + def __str__(self) -> str: + return self.__class__.__name__ +
d3ac8dcb7da4e39aa79cc17bb7c15bdb4879d7e0	Luc Georges	[email protected]	2024-06-10T09:18:36	feat(ci): add trufflehog secrets detection (#2894)	diff --git a/.github/workflows/trufflehog.yml b/.github/workflows/trufflehog.yml new file mode 100644 index 00000000..9cbbf680 --- /dev/null +++ b/.github/workflows/trufflehog.yml @@ -0,0 +1,15 @@ +on: + push: + +name: Secret Leaks + +jobs: + trufflehog: + runs-on: ubuntu-latest + steps: + - name: Checkout code + uses: actions/checkout@v4 + with: + fetch-depth: 0 + - name: Secret Scanning + uses: trufflesecurity/trufflehog@main
1ea458cb22396f8af955bf5b1ebbb92d89f0a707	Quentin Lhoest	[email protected]	2024-06-07T11:17:45	No mongo cache in DatasetRemovalPlan (#2890)	diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py index 539a867b..cc2df4ff 100644 --- a/libs/libcommon/src/libcommon/queue.py +++ b/libs/libcommon/src/libcommon/queue.py @@ -987,6 +987,5 @@ class Queue: - jobs = JobDocument.objects(dataset=dataset, status=Status.WAITING) - previous_status = [(job.type, job.status, job.unicity_id, job.difficulty) for job in jobs.all()] - num_deleted_jobs = jobs.delete() - for job_type, status, unicity_id, difficulty in previous_status: - decrease_metric(job_type=job_type, status=status, difficulty=difficulty) - release_lock(key=unicity_id) + existing_waiting_jobs = JobDocument.objects(dataset=dataset, status=Status.WAITING) + for job in existing_waiting_jobs.no_cache(): + decrease_metric(job_type=job.type, status=job.status, difficulty=job.difficulty) + release_lock(key=job.unicity_id) + num_deleted_jobs = existing_waiting_jobs.delete() diff --git a/libs/libcommon/src/libcommon/simple_cache.py b/libs/libcommon/src/libcommon/simple_cache.py index eff0853d..b153b81b 100644 --- a/libs/libcommon/src/libcommon/simple_cache.py +++ b/libs/libcommon/src/libcommon/simple_cache.py @@ -352 +352 @@ def delete_dataset_responses(dataset: str) -> int: - for cache in existing_cache: + for cache in existing_cache.no_cache():
3a8afdd007265be3e1287eb547783e2250b009b4	Polina Kazakova	[email protected]	2024-06-06T16:58:06	Fix get_shape in statistics when argument is bytes, not dict (#2888)	diff --git a/services/worker/src/worker/statistics_utils.py b/services/worker/src/worker/statistics_utils.py index 4660272d..f2651bb0 100644 --- a/services/worker/src/worker/statistics_utils.py +++ b/services/worker/src/worker/statistics_utils.py @@ -686,6 +686,2 @@ class ImageColumn(MediaColumn): - if example is None: - return None - example_bytes = example["bytes"] if isinstance(example, dict) else example - with io.BytesIO(example_bytes) as f: - image = Image.open(f) - return image.size[0] + image_shape = ImageColumn.get_shape(example) + return image_shape[0] @@ -694 +690 @@ class ImageColumn(MediaColumn): - def get_shape(example: Optional[dict[str, Any]]) -> Union[tuple[None, None], tuple[int, int]]: + def get_shape(example: Optional[Union[bytes, dict[str, Any]]]) -> Union[tuple[None, None], tuple[int, int]]: @@ -698 +694,2 @@ class ImageColumn(MediaColumn): - with io.BytesIO(example["bytes"]) as f: + example_bytes = example["bytes"] if isinstance(example, dict) else example + with io.BytesIO(example_bytes) as f:
7ab5edb44667f2349f42a33ce42ff5c6d0018ae9	Quentin Lhoest	[email protected]	2024-06-06T15:59:11	No auto backfill on most nfaa datasets (#2889)	diff --git a/libs/libapi/src/libapi/utils.py b/libs/libapi/src/libapi/utils.py index 78ea6dce..17fe6068 100644 --- a/libs/libapi/src/libapi/utils.py +++ b/libs/libapi/src/libapi/utils.py @@ -184,9 +184,10 @@ def get_cache_entry_from_step( - try_backfill_dataset_then_raise( - processing_step_name=processing_step_name, - dataset=dataset, - hf_endpoint=hf_endpoint, - blocked_datasets=blocked_datasets, - hf_timeout_seconds=hf_timeout_seconds, - hf_token=hf_token, - storage_clients=storage_clients, - ) + if not dataset.startswith("CyberHarem/"): # most of their datasets are nfaa + try_backfill_dataset_then_raise( + processing_step_name=processing_step_name, + dataset=dataset, + hf_endpoint=hf_endpoint, + blocked_datasets=blocked_datasets, + hf_timeout_seconds=hf_timeout_seconds, + hf_token=hf_token, + storage_clients=storage_clients, + )
89a74df015d9bbffda7e7aa2d63916a54b9b6079	Polina Kazakova	[email protected]	2024-06-06T14:35:19	Fix stats for data with NaN (not a number) values (#2797)	diff --git a/docs/source/statistics.md b/docs/source/statistics.md index 931bb3e1..e761f8d9 100644 --- a/docs/source/statistics.md +++ b/docs/source/statistics.md @@ -220 +220 @@ The following measures are returned for float data types: -* number and proportion of `null` values +* number and proportion of `null` and `NaN` values (`NaN` values are treated as `null`) diff --git a/services/worker/src/worker/statistics_utils.py b/services/worker/src/worker/statistics_utils.py index eb2cc146..4660272d 100644 --- a/services/worker/src/worker/statistics_utils.py +++ b/services/worker/src/worker/statistics_utils.py @@ -365,0 +366 @@ class FloatColumn(Column): + data = data.fill_nan(None) diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py index d00026c5..77e41e2a 100644 --- a/services/worker/tests/fixtures/datasets.py +++ b/services/worker/tests/fixtures/datasets.py @@ -30 +29,0 @@ from .statistics_dataset import ( - all_nan_column, @@ -32,0 +32 @@ from .statistics_dataset import ( + null_column, @@ -183 +183 @@ def datasets() -> Mapping[str, Dataset]: - "text_all_nan": all_nan_column(5), + "text_all_null": null_column(5), @@ -198 +198 @@ def datasets() -> Mapping[str, Dataset]: - "list_all_nan": all_nan_column(5), + "list_all_null": null_column(5), @@ -206 +206 @@ def datasets() -> Mapping[str, Dataset]: - "sequence_list_all_nan": all_nan_column(5), + "sequence_list_all_null": null_column(5), @@ -215 +215 @@ def datasets() -> Mapping[str, Dataset]: - "audio_all_nan": all_nan_column(5), + "audio_all_null": null_column(5), @@ -217 +217 @@ def datasets() -> Mapping[str, Dataset]: - "image_all_nan": all_nan_column(5), + "image_all_null": null_column(5), @@ -222 +222 @@ def datasets() -> Mapping[str, Dataset]: - "text_all_nan": Value(dtype="string"), + "text_all_null": Value(dtype="string"), @@ -225 +225 @@ def datasets() -> Mapping[str, Dataset]: - "list_all_nan": [Value(dtype="int32")], + "list_all_null": [Value(dtype="int32")], @@ -227 +227 @@ def datasets() -> Mapping[str, Dataset]: - "sequence_list_all_nan": Sequence(Value(dtype="int32")), + "sequence_list_all_null": Sequence(Value(dtype="int32")), @@ -230 +230 @@ def datasets() -> Mapping[str, Dataset]: - "audio_all_nan": Audio(sampling_rate=1600, decode=False), + "audio_all_null": Audio(sampling_rate=1600, decode=False), @@ -232 +232 @@ def datasets() -> Mapping[str, Dataset]: - "image_all_nan": Image(decode=False), + "image_all_null": Image(decode=False), diff --git a/services/worker/tests/fixtures/statistics_dataset.py b/services/worker/tests/fixtures/statistics_dataset.py index 4f3f0f73..f32e4041 100644 --- a/services/worker/tests/fixtures/statistics_dataset.py +++ b/services/worker/tests/fixtures/statistics_dataset.py @@ -117 +117 @@ def long_text_column() -> list[str]: -def long_text_nan_column() -> list[Optional[str]]: +def long_text_null_column() -> list[Optional[str]]: @@ -124 +124 @@ def long_text_nan_column() -> list[Optional[str]]: -def all_nan_column(n_samples: int) -> list[None]: +def null_column(n_samples: int) -> list[None]: @@ -152 +152 @@ statistics_dataset = Dataset.from_dict( - "string_label__nan_column": [ + "string_label__null_column": [ @@ -174 +174 @@ statistics_dataset = Dataset.from_dict( - "string_label__all_nan_column": all_nan_column(20), + "string_label__all_null_column": null_column(20), @@ -176,2 +176,2 @@ statistics_dataset = Dataset.from_dict( - "int__nan_column": [0, None, 1, None, 2, None, 2, None, 4, None, 5, None, 5, 5, 5, 6, 7, 8, 8, 8], - "int__all_nan_column": all_nan_column(20), + "int__null_column": [0, None, 1, None, 2, None, 2, None, 4, None, 5, None, 5, 5, 5, 6, 7, 8, 8, 8], + "int__all_null_column": null_column(20), @@ -179 +179 @@ statistics_dataset = Dataset.from_dict( - "int__only_one_value_nan_column": [ + "int__only_one_value_null_column": [ @@ -223 +223 @@ statistics_dataset = Dataset.from_dict( - "float__nan_column": [ + "float__null_column": [ @@ -245 +245,24 @@ statistics_dataset = Dataset.from_dict( - "float__all_nan_column": all_nan_column(20), + "float__nan_column": [ + float("nan"), + 0.2, + 0.3, + None, + 0.5, + float("nan"), + 2.2, + None, + 2.6, + 4.7, + 5.1, + float("nan"), + float("nan"), + None, + None, + 8.3, + 8.4, + 9.2, + 9.7, + 9.9, + ], + "float__all_null_column": null_column(20), + "float__all_nan_column": [float("nan")] * 20, @@ -290 +313 @@ statistics_dataset = Dataset.from_dict( - "class_label__nan_column": [ + "class_label__null_column": [ @@ -312 +335 @@ statistics_dataset = Dataset.from_dict( - "class_label__all_nan_column": all_nan_column(20), + "class_label__all_null_column": null_column(20), @@ -335 +358 @@ statistics_dataset = Dataset.from_dict( - "class_label__string_nan_column": [ + "class_label__string_null_column": [ @@ -357 +380 @@ statistics_dataset = Dataset.from_dict( - "class_label__string_all_nan_column": all_nan_column(20), + "class_label__string_all_null_column": null_column(20), @@ -446 +469 @@ statistics_dataset = Dataset.from_dict( - "float__only_one_value_nan_column": [ + "float__only_one_value_null_column": [ @@ -556 +579 @@ statistics_dataset = Dataset.from_dict( - "bool__nan_column": [ + "bool__null_column": [ @@ -578 +601 @@ statistics_dataset = Dataset.from_dict( - "bool__all_nan_column": all_nan_column(20), + "bool__all_null_column": null_column(20), @@ -601 +624 @@ statistics_dataset = Dataset.from_dict( - "list__int_nan_column": [ + "list__int_null_column": [ @@ -623 +646 @@ statistics_dataset = Dataset.from_dict( - "list__int_all_nan_column": all_nan_column(20), + "list__int_all_null_column": null_column(20), @@ -646 +669 @@ statistics_dataset = Dataset.from_dict( - "list__string_nan_column": [ + "list__string_null_column": [ @@ -668 +691 @@ statistics_dataset = Dataset.from_dict( - "list__string_all_nan_column": all_nan_column(20), + "list__string_all_null_column": null_column(20), @@ -745 +768 @@ statistics_dataset = Dataset.from_dict( - "list__dict_nan_column": [ + "list__dict_null_column": [ @@ -821 +844 @@ statistics_dataset = Dataset.from_dict( - "list__dict_all_nan_column": all_nan_column(20), + "list__dict_all_null_column": null_column(20), @@ -844 +867 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_int_nan_column": [ + "list__sequence_int_null_column": [ @@ -866 +889 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_int_all_nan_column": all_nan_column(20), + "list__sequence_int_all_null_column": null_column(20), @@ -889 +912 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_class_label_nan_column": [ + "list__sequence_class_label_null_column": [ @@ -911 +934 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_class_label_all_nan_column": all_nan_column(20), + "list__sequence_class_label_all_null_column": null_column(20), @@ -934 +957 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_bool_nan_column": [ + "list__sequence_of_sequence_bool_null_column": [ @@ -956 +979 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_bool_all_nan_column": all_nan_column(20), + "list__sequence_of_sequence_bool_all_null_column": null_column(20), @@ -1055 +1078 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_dict_nan_column": [ + "list__sequence_of_sequence_dict_null_column": [ @@ -1135 +1158 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_dict_all_nan_column": all_nan_column(20), + "list__sequence_of_sequence_dict_all_null_column": null_column(20), @@ -1234 +1257 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_list_dict_nan_column": [ + "list__sequence_of_list_dict_null_column": [ @@ -1314 +1337 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_list_dict_all_nan_column": all_nan_column(20), + "list__sequence_of_list_dict_all_null_column": null_column(20), @@ -1363,2 +1386,2 @@ statistics_dataset = Dataset.from_dict( - "string_label__nan_column": Value("string"), - "string_label__all_nan_column": Value("string"), + "string_label__null_column": Value("string"), + "string_label__all_null_column": Value("string"), @@ -1366,2 +1389,2 @@ statistics_dataset = Dataset.from_dict( - "int__nan_column": Value("int32"), - "int__all_nan_column": Value("int32"), + "int__null_column": Value("int32"), + "int__all_null_column": Value("int32"), @@ -1372 +1395 @@ statistics_dataset = Dataset.from_dict( - "int__only_one_value_nan_column": Value("int32"), + "int__only_one_value_null_column": Value("int32"), @@ -1373,0 +1397 @@ statistics_dataset = Dataset.from_dict( + "float__null_column": Value("float32"), @@ -1374,0 +1399 @@ statistics_dataset = Dataset.from_dict( + "float__all_null_column": Value("float32"), @@ -1380 +1405 @@ statistics_dataset = Dataset.from_dict( - "float__only_one_value_nan_column": Value("float32"), + "float__only_one_value_null_column": Value("float32"), @@ -1382,2 +1407,2 @@ statistics_dataset = Dataset.from_dict( - "class_label__nan_column": ClassLabel(names=["cat", "dog"]), - "class_label__all_nan_column": ClassLabel(names=["cat", "dog"]), + "class_label__null_column": ClassLabel(names=["cat", "dog"]), + "class_label__all_null_column": ClassLabel(names=["cat", "dog"]), @@ -1386,2 +1411,2 @@ statistics_dataset = Dataset.from_dict( - "class_label__string_nan_column": ClassLabel(names=["cat", "dog"]), - "class_label__string_all_nan_column": ClassLabel(names=["cat", "dog"]), + "class_label__string_null_column": ClassLabel(names=["cat", "dog"]), + "class_label__string_all_null_column": ClassLabel(names=["cat", "dog"]), @@ -1389,2 +1414,2 @@ statistics_dataset = Dataset.from_dict( - "bool__nan_column": Value("bool"), - "bool__all_nan_column": Value("bool"), + "bool__null_column": Value("bool"), + "bool__all_null_column": Value("bool"), @@ -1392,2 +1417,2 @@ statistics_dataset = Dataset.from_dict( - "list__int_nan_column": [Value("int32")], - "list__int_all_nan_column": [Value("int32")], + "list__int_null_column": [Value("int32")], + "list__int_all_null_column": [Value("int32")], @@ -1395,2 +1420,2 @@ statistics_dataset = Dataset.from_dict( - "list__string_nan_column": [Value("string")], - "list__string_all_nan_column": [Value("string")], + "list__string_null_column": [Value("string")], + "list__string_all_null_column": [Value("string")], @@ -1398 +1423 @@ statistics_dataset = Dataset.from_dict( - "list__dict_nan_column": [ + "list__dict_null_column": [ @@ -1401 +1426 @@ statistics_dataset = Dataset.from_dict( - "list__dict_all_nan_column": [ + "list__dict_all_null_column": [ @@ -1405,2 +1430,2 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_int_nan_column": Sequence(Value("int64")), - "list__sequence_int_all_nan_column": Sequence(Value("int64")), + "list__sequence_int_null_column": Sequence(Value("int64")), + "list__sequence_int_all_null_column": Sequence(Value("int64")), @@ -1408,2 +1433,2 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_class_label_nan_column": Sequence(ClassLabel(names=["cat", "dog"])), - "list__sequence_class_label_all_nan_column": Sequence(ClassLabel(names=["cat", "dog"])), + "list__sequence_class_label_null_column": Sequence(ClassLabel(names=["cat", "dog"])), + "list__sequence_class_label_all_null_column": Sequence(ClassLabel(names=["cat", "dog"])), @@ -1411,2 +1436,2 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_bool_nan_column": Sequence(Sequence(Value("bool"))), - "list__sequence_of_sequence_bool_all_nan_column": Sequence(Sequence(Value("bool"))), + "list__sequence_of_sequence_bool_null_column": Sequence(Sequence(Value("bool"))), + "list__sequence_of_sequence_bool_all_null_column": Sequence(Sequence(Value("bool"))), @@ -1416 +1441 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_dict_nan_column": Sequence( + "list__sequence_of_sequence_dict_null_column": Sequence( @@ -1419 +1444 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_dict_all_nan_column": Sequence( + "list__sequence_of_sequence_dict_all_null_column": Sequence( @@ -1423,2 +1448,4 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_list_dict_nan_column": Sequence([{"author": Value("string"), "likes": Value("int32")}]), - "list__sequence_of_list_dict_all_nan_column": Sequence( + "list__sequence_of_list_dict_null_column": Sequence( + [{"author": Value("string"), "likes": Value("int32")}] + ), + "list__sequence_of_list_dict_all_null_column": Sequence( @@ -1433 +1459,0 @@ statistics_dataset = Dataset.from_dict( - @@ -1437 +1463 @@ statistics_string_text_dataset = Dataset.from_dict( - "string_text__nan_column": long_text_nan_column(), + "string_text__null_column": long_text_null_column(), @@ -1439 +1465 @@ statistics_string_text_dataset = Dataset.from_dict( - "string_text__large_string_nan_column": long_text_nan_column(), + "string_text__large_string_null_column": long_text_null_column(), @@ -1444 +1470 @@ statistics_string_text_dataset = Dataset.from_dict( - "string_text__nan_column": Value("string"), + "string_text__null_column": Value("string"), @@ -1446 +1472 @@ statistics_string_text_dataset = Dataset.from_dict( - "string_text__large_string_nan_column": Value("large_string"), + "string_text__large_string_null_column": Value("large_string"), @@ -1531 +1557 @@ statistics_not_supported_dataset = Dataset.from_dict( - "list__sequence_dict_nan_column": [ + "list__sequence_dict_null_column": [ @@ -1607 +1633 @@ statistics_not_supported_dataset = Dataset.from_dict( - "list__sequence_dict_all_nan_column": all_nan_column(20), + "list__sequence_dict_all_null_column": null_column(20), @@ -1614 +1640 @@ statistics_not_supported_dataset = Dataset.from_dict( - "list__sequence_dict_nan_column": Sequence( + "list__sequence_dict_null_column": Sequence( @@ -1617 +1643 @@ statistics_not_supported_dataset = Dataset.from_dict( - "list__sequence_dict_all_nan_column": Sequence( + "list__sequence_dict_all_null_column": Sequence( @@ -1633 +1659 @@ audio_dataset = Dataset.from_dict( - "audio_nan": [ + "audio_null": [ @@ -1639 +1665 @@ audio_dataset = Dataset.from_dict( - "audio_all_nan": [None, None, None, None], + "audio_all_null": [None, None, None, None], @@ -1644,2 +1670,2 @@ audio_dataset = Dataset.from_dict( - "audio_nan": Audio(sampling_rate=1600, decode=False), - "audio_all_nan": Audio(sampling_rate=1600, decode=False), + "audio_null": Audio(sampling_rate=1600, decode=False), + "audio_all_null": Audio(sampling_rate=1600, decode=False), @@ -1659 +1685 @@ image_dataset = Dataset.from_dict( - "image_nan": [ + "image_null": [ @@ -1665 +1691 @@ image_dataset = Dataset.from_dict( - "image_all_nan": [None, None, None, None], + "image_all_null": [None, None, None, None], @@ -1670,2 +1696,2 @@ image_dataset = Dataset.from_dict( - "image_nan": Image(decode=False), - "image_all_nan": Image(decode=False), + "image_null": Image(decode=False), + "image_all_null": Image(decode=False), diff --git a/services/worker/tests/job_runners/split/test_descriptive_statistics.py b/services/worker/tests/job_runners/split/test_descriptive_statistics.py index 6761bb98..c7c3a369 100644 --- a/services/worker/tests/job_runners/split/test_descriptive_statistics.py +++ b/services/worker/tests/job_runners/split/test_descriptive_statistics.py @@ -289,2 +289,2 @@ def audio_statistics_expected() -> dict: # type: ignore - ("audio_nan", [1.0, None, 3.0, None]), # take first and third audio file for this testcase - ("audio_all_nan", [None, None, None, None]), + ("audio_null", [1.0, None, 3.0, None]), # take first and third audio file for this testcase + ("audio_all_null", [None, None, None, None]), @@ -314,2 +314,2 @@ def image_statistics_expected() -> dict: # type: ignore - ("image_nan", [640, None, 520, None]), # take first and third image file for this testcase - ("image_all_nan", [None, None, None, None]), + ("image_null", [640, None, 520, None]), # take first and third image file for this testcase + ("image_all_null", [None, None, None, None]), 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 b17fee88..617bf171 100644 --- a/services/worker/tests/job_runners/split/test_duckdb_index.py +++ b/services/worker/tests/job_runners/split/test_duckdb_index.py @@ -44 +44 @@ from ...fixtures.hub import HubDatasetTest -from ...fixtures.statistics_dataset import all_nan_column +from ...fixtures.statistics_dataset import null_column @@ -233,2 +233,2 @@ def expected_data(datasets: Mapping[str, Dataset]) -> dict[str, list[Any]]: - if "all_nan" in feature_name: - expected[f"{feature_name}.duration"] = all_nan_column(5) + if "all_null" in feature_name: + expected[f"{feature_name}.duration"] = null_column(5) @@ -238,3 +238,3 @@ def expected_data(datasets: Mapping[str, Dataset]) -> dict[str, list[Any]]: - if "all_nan" in feature_name: - expected[f"{feature_name}.width"] = all_nan_column(5) - expected[f"{feature_name}.height"] = all_nan_column(5) + if "all_null" in feature_name: + expected[f"{feature_name}.width"] = null_column(5) + expected[f"{feature_name}.height"] = null_column(5) diff --git a/services/worker/tests/test_statistics_utils.py b/services/worker/tests/test_statistics_utils.py index b9071f15..80f41f31 100644 --- a/services/worker/tests/test_statistics_utils.py +++ b/services/worker/tests/test_statistics_utils.py @@ -198,0 +199 @@ def count_expected_statistics_for_bool_column(column: pd.Series) -> dict: # typ + "float__null_column", @@ -199,0 +201 @@ def count_expected_statistics_for_bool_column(column: pd.Series) -> dict: # typ + "float__all_null_column", @@ -205 +207 @@ def count_expected_statistics_for_bool_column(column: pd.Series) -> dict: # typ - "float__only_one_value_nan_column", + "float__only_one_value_null_column", @@ -214 +215,0 @@ def test_float_statistics( - print(expected) @@ -232,2 +233,2 @@ def test_float_statistics( - "int__nan_column", - "int__all_nan_column", + "int__null_column", + "int__all_null_column", @@ -238 +239 @@ def test_float_statistics( - "int__only_one_value_nan_column", + "int__only_one_value_null_column", @@ -266 +267 @@ def test_int_statistics( - "string_text__nan_column", + "string_text__null_column", @@ -268 +269 @@ def test_int_statistics( - "string_text__large_string_nan_column", + "string_text__large_string_null_column", @@ -270,2 +271,2 @@ def test_int_statistics( - "string_label__nan_column", - "string_label__all_nan_column", + "string_label__null_column", + "string_label__all_null_column", @@ -301,2 +302,2 @@ def test_string_statistics( - "class_label__nan_column", - "class_label__all_nan_column", + "class_label__null_column", + "class_label__all_null_column", @@ -305,2 +306,2 @@ def test_string_statistics( - "class_label__string_nan_column", - "class_label__string_all_nan_column", + "class_label__string_null_column", + "class_label__string_all_null_column", @@ -329,2 +330,2 @@ def test_class_label_statistics( - "list__int_nan_column", - "list__int_all_nan_column", + "list__int_null_column", + "list__int_all_null_column", @@ -332,2 +333,2 @@ def test_class_label_statistics( - "list__string_nan_column", - "list__string_all_nan_column", + "list__string_null_column", + "list__string_all_null_column", @@ -335,2 +336,2 @@ def test_class_label_statistics( - "list__dict_nan_column", - "list__dict_all_nan_column", + "list__dict_null_column", + "list__dict_all_null_column", @@ -338,2 +339,2 @@ def test_class_label_statistics( - "list__sequence_int_nan_column", - "list__sequence_int_all_nan_column", + "list__sequence_int_null_column", + "list__sequence_int_all_null_column", @@ -341,2 +342,2 @@ def test_class_label_statistics( - "list__sequence_class_label_nan_column", - "list__sequence_class_label_all_nan_column", + "list__sequence_class_label_null_column", + "list__sequence_class_label_all_null_column", @@ -344,2 +345,2 @@ def test_class_label_statistics( - "list__sequence_of_sequence_bool_nan_column", - "list__sequence_of_sequence_bool_all_nan_column", + "list__sequence_of_sequence_bool_null_column", + "list__sequence_of_sequence_bool_all_null_column", @@ -347,2 +348,2 @@ def test_class_label_statistics( - "list__sequence_of_sequence_dict_nan_column", - "list__sequence_of_sequence_dict_all_nan_column", + "list__sequence_of_sequence_dict_null_column", + "list__sequence_of_sequence_dict_all_null_column", @@ -350,2 +351,2 @@ def test_class_label_statistics( - "list__sequence_of_list_dict_nan_column", - "list__sequence_of_list_dict_all_nan_column", + "list__sequence_of_list_dict_null_column", + "list__sequence_of_list_dict_all_null_column", @@ -372,2 +373,2 @@ def test_list_statistics( - "bool__nan_column", - "bool__all_nan_column", + "bool__null_column", + "bool__all_null_column", @@ -394,2 +395,2 @@ def test_bool_statistics( - ("audio_nan", [1.0, None, 3.0, None]), # take first and third audio file for this testcase - ("audio_all_nan", [None, None, None, None]), + ("audio_null", [1.0, None, 3.0, None]), # take first and third audio file for this testcase + ("audio_all_null", [None, None, None, None]), @@ -437,2 +438,2 @@ def test_audio_statistics( - ("image_nan", [640, None, 520, None]), # take first and third image file for this testcase - ("image_all_nan", [None, None, None, None]), + ("image_null", [640, None, 520, None]), # take first and third image file for this testcase + ("image_all_null", [None, None, None, None]),
2d2172b27a87159105c379e908fff6546bee952b	Quentin Lhoest	[email protected]	2024-06-06T13:28:47	add missing deps to dev images (#2885)	diff --git a/services/admin/dev.Dockerfile b/services/admin/dev.Dockerfile index 2928e443..31687c34 100644 --- a/services/admin/dev.Dockerfile +++ b/services/admin/dev.Dockerfile @@ -19 +19 @@ RUN apt-get update \ - && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && apt-get install -y gcc g++ unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ diff --git a/services/api/dev.Dockerfile b/services/api/dev.Dockerfile index ae1f542e..9bb96bec 100644 --- a/services/api/dev.Dockerfile +++ b/services/api/dev.Dockerfile @@ -19 +19 @@ RUN apt-get update \ - && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && apt-get install -y gcc g++ unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ diff --git a/services/rows/dev.Dockerfile b/services/rows/dev.Dockerfile index 64100c27..401a8e88 100644 --- a/services/rows/dev.Dockerfile +++ b/services/rows/dev.Dockerfile @@ -19 +19 @@ RUN apt-get update \ - && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && apt-get install -y gcc g++ unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ diff --git a/services/search/dev.Dockerfile b/services/search/dev.Dockerfile index cf9a8644..365955ed 100644 --- a/services/search/dev.Dockerfile +++ b/services/search/dev.Dockerfile @@ -19 +19 @@ RUN apt-get update \ - && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && apt-get install -y gcc g++ unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ diff --git a/services/sse-api/dev.Dockerfile b/services/sse-api/dev.Dockerfile index 1112357d..408404e9 100644 --- a/services/sse-api/dev.Dockerfile +++ b/services/sse-api/dev.Dockerfile @@ -19 +19 @@ RUN apt-get update \ - && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && apt-get install -y gcc g++ unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ diff --git a/services/webhook/dev.Dockerfile b/services/webhook/dev.Dockerfile index f8a5e0cf..1ab12d4c 100644 --- a/services/webhook/dev.Dockerfile +++ b/services/webhook/dev.Dockerfile @@ -19 +19 @@ RUN apt-get update \ - && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && apt-get install -y gcc g++ unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ diff --git a/services/worker/dev.Dockerfile b/services/worker/dev.Dockerfile index f0e46faf..2358f724 100644 --- a/services/worker/dev.Dockerfile +++ b/services/worker/dev.Dockerfile @@ -19 +19 @@ RUN apt-get update \ - && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && apt-get install -y gcc g++ unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \
67872e9b67b7936cfc9709237b8654f7a7f12686	Albert Villanova del Moral	[email protected]	2024-06-06T10:42:20	Update pytest to 8.2.2 and pytest-asyncio to 0.23.7 (#2883)	diff --git a/e2e/poetry.lock b/e2e/poetry.lock index 2a0368d9..294e30f5 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -926 +926 @@ name = "pluggy" -version = "1.0.0" +version = "1.5.0" @@ -929 +929 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" @@ -931,2 +931,2 @@ files = [ - {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"}, - {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -983 +983 @@ name = "pytest" -version = "7.3.1" +version = "8.2.2" @@ -986 +986 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -988,2 +988,2 @@ files = [ - {file = "pytest-7.3.1-py3-none-any.whl", hash = "sha256:3799fa815351fea3a5e96ac7e503a96fa51cc9942c3753cda7651b93c1cfa362"}, - {file = "pytest-7.3.1.tar.gz", hash = "sha256:434afafd78b1d78ed0addf160ad2b77a30d35d4bdf8af234fe621919d9ed15e3"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -997,2 +997,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -1001 +1001 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -1326 +1326 @@ python-versions = "3.9.18" -content-hash = "04b345bfe56c249acf07a8d9378f0a40fd380f850449b27278420a1b08ea6594" +content-hash = "a498dd6bc9d033cc92385aaecd9376733e682b1f40220849f45469092d9e360c" diff --git a/e2e/pyproject.toml b/e2e/pyproject.toml index d9da3a8b..322d2cfc 100644 --- a/e2e/pyproject.toml +++ b/e2e/pyproject.toml @@ -17 +17 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index a5b49c7e..657ada4d 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -2098 +2097,0 @@ files = [ - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -2112 +2110,0 @@ files = [ - {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -2119 +2116,0 @@ files = [ - {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -3066,0 +3064 @@ 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 64120139..7b0fa185 100644 --- a/jobs/cache_maintenance/poetry.lock +++ b/jobs/cache_maintenance/poetry.lock @@ -2093 +2093 @@ name = "pluggy" -version = "1.0.0" +version = "1.5.0" @@ -2096 +2096 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" @@ -2098,2 +2098,2 @@ files = [ - {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"}, - {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2438 +2438 @@ name = "pytest" -version = "7.3.1" +version = "8.2.2" @@ -2441 +2441 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2443,2 +2443,2 @@ files = [ - {file = "pytest-7.3.1-py3-none-any.whl", hash = "sha256:3799fa815351fea3a5e96ac7e503a96fa51cc9942c3753cda7651b93c1cfa362"}, - {file = "pytest-7.3.1.tar.gz", hash = "sha256:434afafd78b1d78ed0addf160ad2b77a30d35d4bdf8af234fe621919d9ed15e3"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2452,2 +2452,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2456 +2456 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2782,0 +2783 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3322 +3323 @@ python-versions = "3.9.18" -content-hash = "831d63d851c350a2ccec810db35e5edefac563b8e05fe03d26aa55f452eb348d" +content-hash = "808e1c313d3209dda00a553dda179ee4f559d6d2c03cfc0a0bf703b7ba041246" diff --git a/jobs/cache_maintenance/pyproject.toml b/jobs/cache_maintenance/pyproject.toml index d642ea94..cbda8728 100644 --- a/jobs/cache_maintenance/pyproject.toml +++ b/jobs/cache_maintenance/pyproject.toml @@ -17 +17 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock index 1bfbf844..b2a2a988 100644 --- a/jobs/mongodb_migration/poetry.lock +++ b/jobs/mongodb_migration/poetry.lock @@ -2093 +2093 @@ name = "pluggy" -version = "1.0.0" +version = "1.5.0" @@ -2096 +2096 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" @@ -2098,2 +2098,2 @@ files = [ - {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"}, - {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2438 +2438 @@ name = "pytest" -version = "7.3.1" +version = "8.2.2" @@ -2441 +2441 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2443,2 +2443,2 @@ files = [ - {file = "pytest-7.3.1-py3-none-any.whl", hash = "sha256:3799fa815351fea3a5e96ac7e503a96fa51cc9942c3753cda7651b93c1cfa362"}, - {file = "pytest-7.3.1.tar.gz", hash = "sha256:434afafd78b1d78ed0addf160ad2b77a30d35d4bdf8af234fe621919d9ed15e3"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2452,2 +2452,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2456 +2456 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2782,0 +2783 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3297 +3298 @@ python-versions = "3.9.18" -content-hash = "1cd44e3446ea5640eaf99527e90fe623ad535b88e61f08602135132684ceaf2a" +content-hash = "d1bf9fec99ad2c50021aa4ca4535fcaefad42d6b4ba09e415fcf3df3055867d5" diff --git a/jobs/mongodb_migration/pyproject.toml b/jobs/mongodb_migration/pyproject.toml index 12ddc80d..b267f950 100644 --- a/jobs/mongodb_migration/pyproject.toml +++ b/jobs/mongodb_migration/pyproject.toml @@ -17 +17 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock index dd956f53..7e1594f1 100644 --- a/libs/libapi/poetry.lock +++ b/libs/libapi/poetry.lock @@ -2162 +2162 @@ name = "pluggy" -version = "1.3.0" +version = "1.5.0" @@ -2167,2 +2167,2 @@ files = [ - {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"}, - {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2527 +2527 @@ name = "pytest" -version = "7.4.2" +version = "8.2.2" @@ -2530 +2530 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2532,2 +2532,2 @@ files = [ - {file = "pytest-7.4.2-py3-none-any.whl", hash = "sha256:1d881c6124e08ff0a1bb75ba3ec0bfd8b5354a01c194ddd5a0a870a48d99b002"}, - {file = "pytest-7.4.2.tar.gz", hash = "sha256:a766259cfab564a2ad52cb1aae1b881a75c3eb7e34ca3779697c23ed47c47069"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2541,2 +2541,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2545 +2545 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2631,0 +2632 @@ files = [ + {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2638,0 +2640 @@ files = [ + {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2640,0 +2643,6 @@ files = [ + {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, + {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, + {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, + {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, + {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, + {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2656,0 +2665 @@ files = [ + {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2663,0 +2673 @@ files = [ + {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -2891,0 +2902 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3407 +3418 @@ python-versions = "3.9.18" -content-hash = "683593ade9edb7c7834cf6a11dd2596882763bdfeffdf1de6a14d85d75f84cdf" +content-hash = "47a1991d7761700e3b23b96ba150936046c6375afe3eb798b6a39e87abcd3c07" diff --git a/libs/libapi/pyproject.toml b/libs/libapi/pyproject.toml index 027d1a21..750e8077 100644 --- a/libs/libapi/pyproject.toml +++ b/libs/libapi/pyproject.toml @@ -24 +24 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/libs/libcommon/poetry.lock b/libs/libcommon/poetry.lock index 9b7aa708..322c29e8 100644 --- a/libs/libcommon/poetry.lock +++ b/libs/libcommon/poetry.lock @@ -2200 +2200 @@ name = "pluggy" -version = "1.0.0" +version = "1.5.0" @@ -2203 +2203 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" @@ -2205,2 +2205,2 @@ files = [ - {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"}, - {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2545 +2545 @@ name = "pytest" -version = "7.3.1" +version = "8.2.2" @@ -2548 +2548 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2550,2 +2550,2 @@ files = [ - {file = "pytest-7.3.1-py3-none-any.whl", hash = "sha256:3799fa815351fea3a5e96ac7e503a96fa51cc9942c3753cda7651b93c1cfa362"}, - {file = "pytest-7.3.1.tar.gz", hash = "sha256:434afafd78b1d78ed0addf160ad2b77a30d35d4bdf8af234fe621919d9ed15e3"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2559,2 +2559,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2563 +2563 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2939,0 +2940 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3955 +3956 @@ python-versions = "3.9.18" -content-hash = "53f6cc4f12eb88b73e9a12c894d3e0cd5ffa9e06b735429992658d4e8c192b8c" +content-hash = "94d7cc3cf9ee745391a1a3285a2a5b53792596e2085ed50ddac8de613ca5d73a" diff --git a/libs/libcommon/pyproject.toml b/libs/libcommon/pyproject.toml index 707b973a..2b24176a 100644 --- a/libs/libcommon/pyproject.toml +++ b/libs/libcommon/pyproject.toml @@ -43 +43 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index dba3f637..a57534f2 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -2911,0 +2912 @@ 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 0fe1c9d1..f5b35827 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -2217 +2217 @@ name = "pluggy" -version = "1.0.0" +version = "1.5.0" @@ -2220 +2220 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" @@ -2222,2 +2222,2 @@ files = [ - {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"}, - {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2618 +2618 @@ name = "pytest" -version = "7.3.1" +version = "8.2.2" @@ -2621 +2621 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2623,2 +2623,2 @@ files = [ - {file = "pytest-7.3.1-py3-none-any.whl", hash = "sha256:3799fa815351fea3a5e96ac7e503a96fa51cc9942c3753cda7651b93c1cfa362"}, - {file = "pytest-7.3.1.tar.gz", hash = "sha256:434afafd78b1d78ed0addf160ad2b77a30d35d4bdf8af234fe621919d9ed15e3"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2632,2 +2632,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2636 +2636 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2962,0 +2963 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3572 +3573 @@ python-versions = "3.9.18" -content-hash = "93161f160cf5d0577e65335493fdfaa5c5158f45ca0602335b33d64210a47ecd" +content-hash = "a5131344e87861f1705598a3aa4c337009e205f1ac1db6f4a4915ac0e824a718" diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 111ee0f4..a14b8ebd 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -22 +22 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/services/rows/poetry.lock b/services/rows/poetry.lock index 73751105..dbcd1b57 100644 --- a/services/rows/poetry.lock +++ b/services/rows/poetry.lock @@ -2274 +2274 @@ name = "pluggy" -version = "1.2.0" +version = "1.5.0" @@ -2277 +2277 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2279,2 +2279,2 @@ files = [ - {file = "pluggy-1.2.0-py3-none-any.whl", hash = "sha256:c2fd55a7d7a3863cba1a013e4e2414658b1d07b6bc57b3919e0c63c9abb99849"}, - {file = "pluggy-1.2.0.tar.gz", hash = "sha256:d12f0c4b579b15f5e054301bb226ee85eeeba08ffec228092f8defbaa3a4c4b3"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2675 +2675 @@ name = "pytest" -version = "7.4.0" +version = "8.2.2" @@ -2678 +2678 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2680,2 +2680,2 @@ files = [ - {file = "pytest-7.4.0-py3-none-any.whl", hash = "sha256:78bf16451a2eb8c7a2ea98e32dc119fd2aa758f1d5d66dbf0a59d69a3969df32"}, - {file = "pytest-7.4.0.tar.gz", hash = "sha256:b4bf8c45bd59934ed84001ad51e11b4ee40d40a1229d2c79f9c592b0a3f6bd8a"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2689,2 +2689,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2693 +2693 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -3056,0 +3057 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3705 +3706 @@ python-versions = "3.9.18" -content-hash = "63bbb1515119389ada25455e1765d0c21f30a390e87fca22083011f1be13030f" +content-hash = "d9b9109efd3d71dbb4d30acd22dd88798c07c6f799dfa562ed0596224a9c0edc" diff --git a/services/rows/pyproject.toml b/services/rows/pyproject.toml index 968ce84f..86f4c790 100644 --- a/services/rows/pyproject.toml +++ b/services/rows/pyproject.toml @@ -24 +24 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/services/search/poetry.lock b/services/search/poetry.lock index 704d3d70..8013f433 100644 --- a/services/search/poetry.lock +++ b/services/search/poetry.lock @@ -2279 +2279 @@ name = "pluggy" -version = "1.2.0" +version = "1.5.0" @@ -2282 +2282 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2284,2 +2284,2 @@ files = [ - {file = "pluggy-1.2.0-py3-none-any.whl", hash = "sha256:c2fd55a7d7a3863cba1a013e4e2414658b1d07b6bc57b3919e0c63c9abb99849"}, - {file = "pluggy-1.2.0.tar.gz", hash = "sha256:d12f0c4b579b15f5e054301bb226ee85eeeba08ffec228092f8defbaa3a4c4b3"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2644 +2644 @@ name = "pytest" -version = "7.4.0" +version = "8.2.2" @@ -2647 +2647 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2649,2 +2649,2 @@ files = [ - {file = "pytest-7.4.0-py3-none-any.whl", hash = "sha256:78bf16451a2eb8c7a2ea98e32dc119fd2aa758f1d5d66dbf0a59d69a3969df32"}, - {file = "pytest-7.4.0.tar.gz", hash = "sha256:b4bf8c45bd59934ed84001ad51e11b4ee40d40a1229d2c79f9c592b0a3f6bd8a"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2658,2 +2658,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2662 +2662 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2734,0 +2735 @@ files = [ + {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2741,0 +2743 @@ files = [ + {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2743,0 +2746,6 @@ files = [ + {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, + {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, + {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, + {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, + {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, + {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2759,0 +2768 @@ files = [ + {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2766,0 +2776 @@ files = [ + {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -3109,0 +3120 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3719 +3730 @@ python-versions = "3.9.18" -content-hash = "39adfec7c47e8efe04931dc083735de4c2b0b3222862038aff72d6e1fa0d671f" +content-hash = "58ca460da360a00a62a6c1b3e2a15728ae06d90546263840ff7ba3093c195008" diff --git a/services/search/pyproject.toml b/services/search/pyproject.toml index b4a0492d..a619ba1f 100644 --- a/services/search/pyproject.toml +++ b/services/search/pyproject.toml @@ -23 +23 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/services/sse-api/poetry.lock b/services/sse-api/poetry.lock index 9eed7596..95085bc9 100644 --- a/services/sse-api/poetry.lock +++ b/services/sse-api/poetry.lock @@ -2306 +2306 @@ name = "pluggy" -version = "1.3.0" +version = "1.5.0" @@ -2311,2 +2311,2 @@ files = [ - {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"}, - {file = "pluggy-1.3.0.tar.gz", hash = "sha256:cf61ae8f126ac6f7c451172cf30e3e43d3ca77615509771b3a984a0730651e12"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2671 +2671 @@ name = "pytest" -version = "7.4.2" +version = "8.2.2" @@ -2674 +2674 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2676,2 +2676,2 @@ files = [ - {file = "pytest-7.4.2-py3-none-any.whl", hash = "sha256:1d881c6124e08ff0a1bb75ba3ec0bfd8b5354a01c194ddd5a0a870a48d99b002"}, - {file = "pytest-7.4.2.tar.gz", hash = "sha256:a766259cfab564a2ad52cb1aae1b881a75c3eb7e34ca3779697c23ed47c47069"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2685,2 +2685,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2689 +2689 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2693 +2693 @@ name = "pytest-asyncio" -version = "0.20.3" +version = "0.23.7" @@ -2696 +2696 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2698,2 +2698,2 @@ files = [ - {file = "pytest-asyncio-0.20.3.tar.gz", hash = "sha256:83cbf01169ce3e8eb71c6c278ccb0574d1a7a3bb8eaaf5e50e0ad342afb33b36"}, - {file = "pytest_asyncio-0.20.3-py3-none-any.whl", hash = "sha256:f129998b209d04fcc65c96fc85c11e5316738358909a8399e93be553d7656442"}, + {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"}, + {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"}, @@ -2703 +2703 @@ files = [ -pytest = ">=6.1.0" +pytest = ">=7.0.0,<9" @@ -2707 +2707 @@ docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"] -testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"] +testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"] @@ -2779,0 +2780 @@ files = [ + {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2786,0 +2788 @@ files = [ + {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2788,0 +2791,6 @@ files = [ + {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, + {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, + {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, + {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, + {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, + {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2804,0 +2813 @@ files = [ + {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2811,0 +2821 @@ files = [ + {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -3039,0 +3050 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3816 +3827 @@ python-versions = "3.9.18" -content-hash = "53c23a6e7c412d822a50a75f9eb4852c3ac64700b03e1aff20573ac965575ca1" +content-hash = "6e2a6e09b78d16e08c5f754e8a8d88ff85ad42ffd622e39f5ffbf2628e274e16" diff --git a/services/sse-api/pyproject.toml b/services/sse-api/pyproject.toml index 630ec1e3..2b3d1433 100644 --- a/services/sse-api/pyproject.toml +++ b/services/sse-api/pyproject.toml @@ -25,2 +25,2 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" -pytest-asyncio = "^0.20.3" +pytest = "^8.2.2" +pytest-asyncio = "^0.23.7" diff --git a/services/webhook/poetry.lock b/services/webhook/poetry.lock index f641aa40..be5c5f9f 100644 --- a/services/webhook/poetry.lock +++ b/services/webhook/poetry.lock @@ -2217 +2217 @@ name = "pluggy" -version = "1.0.0" +version = "1.5.0" @@ -2220 +2220 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" @@ -2222,2 +2222,2 @@ files = [ - {file = "pluggy-1.0.0-py2.py3-none-any.whl", hash = "sha256:74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3"}, - {file = "pluggy-1.0.0.tar.gz", hash = "sha256:4224373bacce55f955a878bf9cfa763c1e360858e330072059e10bad68531159"}, + {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"}, + {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"}, @@ -2618 +2618 @@ name = "pytest" -version = "7.3.1" +version = "8.2.2" @@ -2621 +2621 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2623,2 +2623,2 @@ files = [ - {file = "pytest-7.3.1-py3-none-any.whl", hash = "sha256:3799fa815351fea3a5e96ac7e503a96fa51cc9942c3753cda7651b93c1cfa362"}, - {file = "pytest-7.3.1.tar.gz", hash = "sha256:434afafd78b1d78ed0addf160ad2b77a30d35d4bdf8af234fe621919d9ed15e3"}, + {file = "pytest-8.2.2-py3-none-any.whl", hash = "sha256:c434598117762e2bd304e526244f67bf66bbd7b5d6cf22138be51ff661980343"}, + {file = "pytest-8.2.2.tar.gz", hash = "sha256:de4bb8104e201939ccdc688b27a89a7be2079b22e2bd2b07f806b6ba71117977"}, @@ -2632,2 +2632,2 @@ packaging = "" -pluggy = ">=0.12,<2.0" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} +pluggy = ">=1.5,<2.0" +tomli = {version = ">=1", markers = "python_version < \"3.11\""} @@ -2636 +2636 @@ tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] +dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] @@ -2962,0 +2963 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3572 +3573 @@ python-versions = "3.9.18" -content-hash = "2a51d4d490e1fb826c5e9ac5fa4fac5b41dd984e03c07a47b728cb48c943025b" +content-hash = "7868428c2ce455c13251570f74fa40046e2b0b65ca8aa352c968fd3320e071ff" diff --git a/services/webhook/pyproject.toml b/services/webhook/pyproject.toml index af309d58..d16aa23a 100644 --- a/services/webhook/pyproject.toml +++ b/services/webhook/pyproject.toml @@ -21 +21 @@ pip-audit = "^2.7.3" -pytest = "^7.2.1" +pytest = "^8.2.2" diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 3d65675e..988c1b49 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -2932 +2932 @@ name = "pluggy" -version = "1.0.0" +version = "1.5.0" @@ -2935 +2935 @@ optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" @@ -2937,2 +2937,2 @@ files = [ - 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-3349,2 +3338,2 @@ files = [ - {file = "uvicorn-0.20.0-py3-none-any.whl", hash = "sha256:c3ed1598a5668208723f2bb49336f4509424ad198d6ab2615b7783db58d919fd"}, - {file = "uvicorn-0.20.0.tar.gz", hash = "sha256:a4e12017b940247f836bc90b72e725d7dfd0c8ed1c51eb365f5ba30d9f5127d8"}, + {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"}, + {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"}, @@ -3355,0 +3345 @@ h11 = ">=0.8" +typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} @@ -3718 +3708 @@ python-versions = "3.9.18" -content-hash = "9e954bd84442eb5d5fb275528c7d7a141bdb028e779092a6235c0f69ca73394a" +content-hash = "63bbb1515119389ada25455e1765d0c21f30a390e87fca22083011f1be13030f" diff --git a/services/rows/pyproject.toml b/services/rows/pyproject.toml index 6aded4e2..968ce84f 100644 --- a/services/rows/pyproject.toml +++ b/services/rows/pyproject.toml @@ -14 +14 @@ soundfile = ">=0.12.1" -uvicorn = "^0.20.0" +uvicorn = "^0.30.1" diff --git a/services/search/poetry.lock b/services/search/poetry.lock index ad8ad15e..e0725e1d 100644 --- a/services/search/poetry.lock +++ b/services/search/poetry.lock @@ -2738 +2737,0 @@ files = [ - {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2746 +2744,0 @@ files = [ - {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2749,6 +2746,0 @@ files = [ - {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, - {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, - {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, - {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, - {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, - {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2771 +2762,0 @@ files = [ - {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2779 +2769,0 @@ files = [ - {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -3123 +3112,0 @@ files = [ - {file = 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-content-hash = "b9d21c02da1017f2c4eaaa65d98f9027bd382e5d5ba18e83677d61a37b0d75f8" +content-hash = "39adfec7c47e8efe04931dc083735de4c2b0b3222862038aff72d6e1fa0d671f" diff --git a/services/search/pyproject.toml b/services/search/pyproject.toml index 73ef257d..b4a0492d 100644 --- a/services/search/pyproject.toml +++ b/services/search/pyproject.toml @@ -15 +15 @@ soundfile = ">=0.12.1" -uvicorn = "^0.20.0" +uvicorn = "^0.30.1" diff --git a/services/sse-api/poetry.lock b/services/sse-api/poetry.lock index 5bad1445..6b0ca772 100644 --- a/services/sse-api/poetry.lock +++ b/services/sse-api/poetry.lock @@ -2783 +2782,0 @@ files = [ - {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2791 +2789,0 @@ files = [ - {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2794,6 +2791,0 @@ files = [ - {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, - {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, - {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, - {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, - {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, - {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2816 +2807,0 @@ files = [ - {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2824 +2814,0 @@ files = [ - {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -3053 +3042,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3332 +3321 @@ name = "uvicorn" -version = "0.20.0" +version = "0.30.1" @@ -3335 +3324 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -3337,2 +3326,2 @@ files = [ - {file = "uvicorn-0.20.0-py3-none-any.whl", hash = "sha256:c3ed1598a5668208723f2bb49336f4509424ad198d6ab2615b7783db58d919fd"}, - {file = "uvicorn-0.20.0.tar.gz", hash = "sha256:a4e12017b940247f836bc90b72e725d7dfd0c8ed1c51eb365f5ba30d9f5127d8"}, + {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"}, + {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"}, @@ -3347,0 +3337 @@ pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""} +typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} @@ -3829 +3819 @@ python-versions = "3.9.18" -content-hash = "3b3309c764173aebc445a06e8121ab5b1ac160b15e6b14ebdd149060cf6f5ae1" +content-hash = "53c23a6e7c412d822a50a75f9eb4852c3ac64700b03e1aff20573ac965575ca1" diff --git a/services/sse-api/pyproject.toml b/services/sse-api/pyproject.toml index 3cf9f216..630ec1e3 100644 --- a/services/sse-api/pyproject.toml +++ b/services/sse-api/pyproject.toml @@ -14 +14 @@ sse-starlette = "^2.0.0" -uvicorn = {extras = ["standard"], version = "^0.20.0"} +uvicorn = {extras = ["standard"], version = "^0.30.1"} diff --git a/services/sse-api/tests/uvicorn_server.py b/services/sse-api/tests/uvicorn_server.py index 03dffd90..314c83fc 100644 --- a/services/sse-api/tests/uvicorn_server.py +++ b/services/sse-api/tests/uvicorn_server.py @@ -31 +31 @@ class UvicornServer(uvicorn.Server): - await super().startup(sockets=sockets) # type: ignore + await super().startup(sockets=sockets) diff --git a/services/webhook/poetry.lock b/services/webhook/poetry.lock index fdb16b7b..e96fc493 100644 --- a/services/webhook/poetry.lock +++ b/services/webhook/poetry.lock @@ -2966 +2965,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3229 +3228 @@ name = "uvicorn" -version = "0.20.0" +version = "0.30.1" @@ -3232 +3231 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -3234,2 +3233,2 @@ files = [ - {file = "uvicorn-0.20.0-py3-none-any.whl", hash = "sha256:c3ed1598a5668208723f2bb49336f4509424ad198d6ab2615b7783db58d919fd"}, - {file = "uvicorn-0.20.0.tar.gz", hash = "sha256:a4e12017b940247f836bc90b72e725d7dfd0c8ed1c51eb365f5ba30d9f5127d8"}, + {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"}, + {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"}, @@ -3240,0 +3240 @@ h11 = ">=0.8" +typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} @@ -3575 +3575 @@ python-versions = "3.9.18" -content-hash = "cd1d3a5944c2b313bebe1bce798a7a2c034087256b420cf528dac8278b508c62" +content-hash = "2a51d4d490e1fb826c5e9ac5fa4fac5b41dd984e03c07a47b728cb48c943025b" diff --git a/services/webhook/pyproject.toml b/services/webhook/pyproject.toml index ff638bd7..af309d58 100644 --- a/services/webhook/pyproject.toml +++ b/services/webhook/pyproject.toml @@ -13 +13 @@ libapi = {path = "../../libs/libapi", develop = true} -uvicorn = "^0.20.0" +uvicorn = "^0.30.1" diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 400cd5c6..770c698a 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -1913,10 +1912,0 @@ files = [ - {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"}, - {file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"}, @@ -4440 +4429,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -5127 +5116 @@ name = "uvicorn" -version = "0.20.0" +version = "0.30.1" @@ -5130 +5119 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -5132,2 +5121,2 @@ files = [ - {file = "uvicorn-0.20.0-py3-none-any.whl", hash = "sha256:c3ed1598a5668208723f2bb49336f4509424ad198d6ab2615b7783db58d919fd"}, - {file = "uvicorn-0.20.0.tar.gz", hash = "sha256:a4e12017b940247f836bc90b72e725d7dfd0c8ed1c51eb365f5ba30d9f5127d8"}, + {file = "uvicorn-0.30.1-py3-none-any.whl", hash = "sha256:cd17daa7f3b9d7a24de3617820e634d0933b69eed8e33a516071174427238c81"}, + {file = "uvicorn-0.30.1.tar.gz", hash = "sha256:d46cd8e0fd80240baffbcd9ec1012a712938754afcf81bce56c024c1656aece8"}, @@ -5138,0 +5128 @@ h11 = ">=0.8" +typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} @@ -5555 +5545 @@ python-versions = "3.9.18" -content-hash = "78e64a741f87ae39f7b07d64d074b8b400fc253d93b266fb2d93b0f15d1256ed" +content-hash = "4d26419cdf95f0b919a9e857ed261cf5e3f728f6802e171dbe2fb263a3cd61b8" diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 0cffdfc6..38cac47b 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -30 +30 @@ torch = [ -uvicorn = "^0.20.0" +uvicorn = "^0.30.1"
37117d13bdc49a110869e79eab59f2618fb0e53c	Andrea Francis Soria Jimenez	[email protected]	2024-06-05T13:32:07	Use pymongoarrow to get dataset results as dataframe (#2879)	diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock index 94a545f4..83d189f3 100644 --- a/jobs/cache_maintenance/poetry.lock +++ b/jobs/cache_maintenance/poetry.lock @@ -1093 +1093 @@ psutil = "^5.9.4" -pyarrow = "^14.0.1" +pyarrow = "15.0.2" @@ -1095,0 +1096 @@ pymongo = {version = "^4.6.3", extras = ["srv"]} +pymongoarrow = "^1.3.0" @@ -1846 +1847 @@ name = "packaging" -version = "23.1" +version = "23.2" @@ -1851,2 +1852,2 @@ files = [ - {file = "packaging-23.1-py3-none-any.whl", hash = "sha256:994793af429502c4ea2ebf6bf664629d07c1a9fe974af92966e4b8d2df7edc61"}, - {file = "packaging-23.1.tar.gz", hash = "sha256:a392980d2b6cffa644431898be54b0045151319d1e7ec34f0cfed48767dd334f"}, + {file = "packaging-23.2-py3-none-any.whl", hash = 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= "^1.3.0" @@ -70,0 +72 @@ module = [ + "pymongoarrow.", diff --git a/libs/libcommon/src/libcommon/queue.py b/libs/libcommon/src/libcommon/queue.py index bd4d2c29..539a867b 100644 --- a/libs/libcommon/src/libcommon/queue.py +++ b/libs/libcommon/src/libcommon/queue.py @@ -16 +16 @@ from types import TracebackType -from typing import Generic, Literal, Optional, TypedDict, TypeVar +from typing import Any, Generic, Literal, Optional, TypedDict, TypeVar @@ -18,0 +19 @@ from uuid import uuid4 +import bson @@ -19,0 +21 @@ import pandas as pd +import pyarrow as pa @@ -25,0 +28 @@ from mongoengine.queryset.queryset import QuerySet +from pymongoarrow.api import Schema, find_pandas_all @@ -118,0 +122,15 @@ class JobQueryFilters(TypedDict, total=False): +PA_SCHEMA = Schema( + { + "_id": bson.ObjectId, + "type": pa.string(), + "dataset": pa.string(), + "revision": pa.string(), + "config": pa.string(), + "split": pa.string(), + "priority": pa.string(), + "status": pa.string(), + "created_at": pa.timestamp("ms"), + } +) + + @@ -189,0 +208,9 @@ class JobDocument(Document): + @classmethod + def fetch_as_df(cls, query: Optional[Mapping[str, Any]] = None) -> pd.DataFrame: + """ + Fetch documents matching the query as a Pandas Dataframe. + """ + query = query if query is not None else {} + collection = cls._get_collection() + return find_pandas_all(collection, query, schema=PA_SCHEMA) # type: ignore + @@ -1021,0 +1049,21 @@ class Queue: + filters = {"dataset": dataset} + if job_types: + filters["type"] = {"$in": job_types} # type: ignore + df = JobDocument.fetch_as_df(query=filters) + df.rename(columns={"_id": "job_id"}, inplace=True) + df["priority"] = pd.Categorical( + df["priority"], + ordered=True, + categories=[Priority.LOW.value, Priority.NORMAL.value, Priority.HIGH.value], + ) + df["status"] = pd.Categorical( + df["status"], + ordered=True, + categories=[ + Status.WAITING.value, + Status.STARTED.value, + ], + ) + return df + + def get_pending_jobs_df_old(self, dataset: str, job_types: Optional[list[str]] = None) -> pd.DataFrame: diff --git a/libs/libcommon/src/libcommon/simple_cache.py b/libs/libcommon/src/libcommon/simple_cache.py index e49a88fd..eff0853d 100644 --- a/libs/libcommon/src/libcommon/simple_cache.py +++ b/libs/libcommon/src/libcommon/simple_cache.py @@ -11,0 +12 @@ import pandas as pd +import pyarrow as pa @@ -26,0 +28 @@ from mongoengine.queryset.queryset import QuerySet +from pymongoarrow.api import Schema, find_pandas_all @@ -100,0 +103,17 @@ class SplitFullName(NamedTuple): +PA_SCHEMA = Schema( + { + "kind": pa.string(), + "dataset": pa.string(), + "config": pa.string(), + "split": pa.string(), + "http_status": pa.int32(), + "error_code": pa.string(), + "dataset_git_revision": pa.string(), + "job_runner_version": pa.int32(), + "progress": pa.float64(), + "updated_at": pa.timestamp("ms"), + "failed_runs": pa.int32(), + } +) + + @@ -153,0 +173,9 @@ class CachedResponseDocument(Document): + @classmethod + def fetch_as_df(cls, query: Optional[Mapping[str, Any]] = None) -> pd.DataFrame: + """ + Fetch documents matching the query as a Pandas Dataframe. + """ + query = query if query is not None else {} + collection = cls._get_collection() + return find_pandas_all(collection, query, schema=PA_SCHEMA) # type: ignore + @@ -836,0 +865,7 @@ def get_cache_entries_df(dataset: str, cache_kinds: Optional[list[str]] = None) + filters = {"dataset": dataset} + if cache_kinds: + filters["kind"] = {"$in": cache_kinds} # type: ignore + return CachedResponseDocument.fetch_as_df(query=filters) + + +def get_cache_entries_df_old(dataset: str, cache_kinds: Optional[list[str]] = None) -> pd.DataFrame: diff --git a/libs/libcommon/tests/test_orchestrator.py b/libs/libcommon/tests/test_orchestrator.py index 8f828589..06c30a24 100644 --- a/libs/libcommon/tests/test_orchestrator.py +++ b/libs/libcommon/tests/test_orchestrator.py @@ -9 +9,7 @@ from libcommon.dtos import JobOutput, JobResult, Priority, Status -from libcommon.orchestrator import AfterJobPlan, finish_job, has_pending_ancestor_jobs, remove_dataset, set_revision +from libcommon.orchestrator import ( + AfterJobPlan, + finish_job, + has_pending_ancestor_jobs, + remove_dataset, + set_revision, +) @@ -29,0 +36,2 @@ from .utils import ( + ARTIFACT_SA_1_1, + ARTIFACT_SA_1_2, @@ -196,0 +205,27 @@ def test_finish_job( +def populate_queue() -> None: + Queue().create_jobs( + [ + artifact_id_to_job_info(ARTIFACT_CA_1), + artifact_id_to_job_info(ARTIFACT_CA_2), + artifact_id_to_job_info(ARTIFACT_DH), + artifact_id_to_job_info(ARTIFACT_SA_1_1), + artifact_id_to_job_info(ARTIFACT_SA_1_2), + ] + 50 + ) + + [email protected]_memory("1.4 MB") # Success, it uses ~1.4 MB +def test_get_pending_jobs_df() -> None: + populate_queue() + pending_jobs_df = Queue().get_pending_jobs_df(dataset=DATASET_NAME) + assert pending_jobs_df.shape == (250, 9) + + [email protected]_memory("1.6 MB") # Will fail, it uses ~1.6 MB +def test_get_pending_jobs_df_old() -> None: + populate_queue() + pending_jobs_df = Queue().get_pending_jobs_df_old(dataset=DATASET_NAME) + assert pending_jobs_df.shape == (250, 9) + + diff --git a/libs/libcommon/tests/test_state.py b/libs/libcommon/tests/test_state.py index b3d4a0a7..b63a2967 100644 --- a/libs/libcommon/tests/test_state.py +++ b/libs/libcommon/tests/test_state.py @@ -13,0 +14 @@ from libcommon.simple_cache import ( + get_cache_entries_df_old, @@ -49,0 +51,36 @@ def cache_mongo_resource_autouse(cache_mongo_resource: CacheMongoResource) -> Ca +def populate_cache() -> tuple[list[str], int]: + cache_kinds = ["cache-kind-1", "cache-kind-2", "cache-kind-3"] + configs = [f"config-{i}" for i in range(15)] + splits = [f"split-{i}" for i in range(15)] + for cache_kind in cache_kinds: + for config in configs: + for split in splits: + upsert_response( + kind=cache_kind, + dataset=DATASET_NAME, + config=config, + split=split, + content={}, + http_status=HTTPStatus.OK, + dataset_git_revision=REVISION_NAME, + progress=1, + job_runner_version=1, + failed_runs=0, + ) + return cache_kinds, len(cache_kinds) * len(configs) * len(splits) + + [email protected]_memory("2 MB") # Success, it uses ~1.5 MB +def test_get_cache_entries_df() -> None: + cache_kinds, expected_entries = populate_cache() + entries = get_cache_entries_df(dataset=DATASET_NAME, cache_kinds=cache_kinds) + assert entries.shape[0] == expected_entries + + [email protected]_memory("2 MB") # Will fail, it uses ~2.8 MB +def test_get_cache_entries_df_old() -> None: + cache_kinds, expected_entries = populate_cache() + entries = get_cache_entries_df_old(dataset=DATASET_NAME, cache_kinds=cache_kinds) + assert entries.shape[0] == expected_entries + + diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 7cfef5f6..3e77f950 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -1184 +1184 @@ psutil = "^5.9.4" -pyarrow = "^14.0.1" +pyarrow = "15.0.2" @@ -1186,0 +1187 @@ pymongo = {version = "^4.6.3", extras = ["srv"]} +pymongoarrow = 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d7a0aa516523f9b0b27afed5d36f7f31741bed3d	Polina Kazakova	[email protected]	2024-06-05T13:25:29	Add retry mechanism to get_parquet_file in parquet metadata step (#2884)	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 96007458..7c646e92 100644 --- a/services/worker/src/worker/job_runners/config/parquet_metadata.py +++ b/services/worker/src/worker/job_runners/config/parquet_metadata.py @@ -7,0 +8 @@ from typing import Optional +import aiohttp @@ -16,0 +18 @@ from libcommon.storage import StrPath +from libcommon.utils import retry @@ -28,0 +31,2 @@ from worker.utils import get_parquet_file +SLEEPS = [0.2, 1, 1, 10, 10, 10] + @@ -34 +38,2 @@ def create_parquet_metadata_file_from_remote_parquet( - parquet_file = get_parquet_file(url=parquet_file_item["url"], fs=fs, hf_token=hf_token) + retry_get_parquet_file = retry(on=[aiohttp.ServerConnectionError], sleeps=SLEEPS)(get_parquet_file) + parquet_file = retry_get_parquet_file(url=parquet_file_item["url"], fs=fs, hf_token=hf_token)
64691e008c9d9227cd87c8b905fedc9a66da8f90	Quentin Lhoest	[email protected]	2024-06-04T13:16:31	Allow mnist and fashion mnist + remove canonical dataset logic (#2880)	diff --git a/chart/values.yaml b/chart/values.yaml index 97ad15aa..64b92111 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -85,2 +85 @@ common: - # The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. - datasetScriptsAllowList: "{{ALL_DATASETS_WITH_NO_NAMESPACE}},hf-internal-testing/dataset_with_script,togethercomputer/RedPajama-Data-1T,togethercomputer/RedPajama-Data-V2,gaia-benchmark/GAIA,poloclub/diffusiondb,mozilla-foundation/common_voice_,google/fleurs,speechcolab/gigaspeech,espnet/yodas" + datasetScriptsAllowList: "hf-internal-testing/dataset_with_script,togethercomputer/RedPajama-Data-1T,togethercomputer/RedPajama-Data-V2,gaia-benchmark/GAIA,poloclub/diffusiondb,mozilla-foundation/common_voice_,google/fleurs,speechcolab/gigaspeech,espnet/yodas,ylecun/mnist,zalando-datasets/fashion_mnist" diff --git a/libs/libcommon/README.md b/libs/libcommon/README.md index 7c3c45d4..0e5c7a87 100644 --- a/libs/libcommon/README.md +++ b/libs/libcommon/README.md @@ -36 +36 @@ Set the common environment variables to configure the following aspects: -- `COMMON_DATASET_SCRIPTS_ALLOW_LIST`: comma-separated list of the datasets for which we support dataset scripts. Unix shell-style wildcards also work in the dataset name for namespaced datasets, for example `some_namespace/` to refer to all the datasets in the `some_namespace` namespace. The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. If empty, no dataset with script is supported. Defaults to empty. +- `COMMON_DATASET_SCRIPTS_ALLOW_LIST`: comma-separated list of the datasets for which we support dataset scripts. Unix shell-style wildcards also work in the dataset name for namespaced datasets, for example `some_namespace/` to refer to all the datasets in the `some_namespace` namespace. If empty, no dataset with script is supported. Defaults to empty. 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 a46c5b5b..029f91e9 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 @@ -1182 +1181,0 @@ def compute_config_parquet_and_info_response( - The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. diff --git a/services/worker/src/worker/job_runners/config/split_names.py b/services/worker/src/worker/job_runners/config/split_names.py index 489c3157..60a79000 100644 --- a/services/worker/src/worker/job_runners/config/split_names.py +++ b/services/worker/src/worker/job_runners/config/split_names.py @@ -49 +48,0 @@ def compute_split_names_from_streaming_response( - The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. diff --git a/services/worker/src/worker/job_runners/dataset/config_names.py b/services/worker/src/worker/job_runners/dataset/config_names.py index 4a29e343..003c3568 100644 --- a/services/worker/src/worker/job_runners/dataset/config_names.py +++ b/services/worker/src/worker/job_runners/dataset/config_names.py @@ -51 +50,0 @@ def compute_config_names_response( - The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. diff --git a/services/worker/src/worker/job_runners/split/first_rows.py b/services/worker/src/worker/job_runners/split/first_rows.py index 6940c9e4..ffe1f5ca 100644 --- a/services/worker/src/worker/job_runners/split/first_rows.py +++ b/services/worker/src/worker/job_runners/split/first_rows.py @@ -180 +179,0 @@ def compute_first_rows_from_streaming_response( - The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. diff --git a/services/worker/src/worker/job_runners/split/opt_in_out_urls_scan_from_streaming.py b/services/worker/src/worker/job_runners/split/opt_in_out_urls_scan_from_streaming.py index ccdcc0ac..5b447dd7 100644 --- a/services/worker/src/worker/job_runners/split/opt_in_out_urls_scan_from_streaming.py +++ b/services/worker/src/worker/job_runners/split/opt_in_out_urls_scan_from_streaming.py @@ -136 +135,0 @@ def compute_opt_in_out_urls_scan_response( - The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. diff --git a/services/worker/src/worker/job_runners/split/presidio_scan.py b/services/worker/src/worker/job_runners/split/presidio_scan.py index e9d7a9d7..b7a92bd5 100644 --- a/services/worker/src/worker/job_runners/split/presidio_scan.py +++ b/services/worker/src/worker/job_runners/split/presidio_scan.py @@ -227 +226,0 @@ def compute_presidio_entities_scan_response( - The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. diff --git a/services/worker/src/worker/utils.py b/services/worker/src/worker/utils.py index 878d2a0d..4b303c56 100644 --- a/services/worker/src/worker/utils.py +++ b/services/worker/src/worker/utils.py @@ -227,3 +227 @@ def resolve_trust_remote_code(dataset: str, allow_list: list[str]) -> bool: - if (allowed_pattern == "{{ALL_DATASETS_WITH_NO_NAMESPACE}}" and "/" not in dataset) or fnmatch( - dataset, allowed_pattern - ): + if fnmatch(dataset, allowed_pattern): 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 50da5ee2..bc893862 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 @@ -905,14 +905,2 @@ def test_resolve_trust_remote_code() -> None: - assert resolve_trust_remote_code("lhoestq/demo1", allow_list=["{{ALL_DATASETS_WITH_NO_NAMESPACE}}"]) is False - assert ( - resolve_trust_remote_code("lhoestq/demo1", allow_list=["{{ALL_DATASETS_WITH_NO_NAMESPACE}}", "lhoestq/d"]) - is True - ) - assert resolve_trust_remote_code("mnist", allow_list=[]) is False - assert resolve_trust_remote_code("mnist", allow_list=["{{ALL_DATASETS_WITH_NO_NAMESPACE}}"]) is True - assert resolve_trust_remote_code("mnist", allow_list=["{{ALL_DATASETS_WITH_NO_NAMESPACE}}", "lhoestq/s"]) is True - assert ( - resolve_trust_remote_code( - "lhoestq/custom_mnist", allow_list=["{{ALL_DATASETS_WITH_NO_NAMESPACE}}", "lhoestq/d"] - ) - is False - ) + assert resolve_trust_remote_code("lhoestq/demo1", allow_list=["lhoestq/d"]) is True + assert resolve_trust_remote_code("lhoestq/custom_mnist", allow_list=["lhoestq/d*"]) is False
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["pytest (>=4.6)"] + @@ -4595,0 +4645,27 @@ pbr = ">=2.0.0,<2.1.0 \|\| >2.1.0" +[[package]] +name = "sympy" +version = "1.12.1" +description = "Computer algebra system (CAS) in Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "sympy-1.12.1-py3-none-any.whl", hash = "sha256:9b2cbc7f1a640289430e13d2a56f02f867a1da0190f2f99d8968c2f74da0e515"}, + {file = "sympy-1.12.1.tar.gz", hash = "sha256:2877b03f998cd8c08f07cd0de5b767119cd3ef40d09f41c30d722f6686b0fb88"}, +] + +[package.dependencies] +mpmath = ">=1.1.0,<1.4.0" + +[[package]] +name = "tbb" +version = "2021.12.0" +description = "Intel® oneAPI Threading Building Blocks (oneTBB)" +optional = false +python-versions = "" +files = [ + {file = "tbb-2021.12.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:f2cc9a7f8ababaa506cbff796ce97c3bf91062ba521e15054394f773375d81d8"}, + {file = "tbb-2021.12.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:a925e9a7c77d3a46ae31c34b0bb7f801c4118e857d137b68f68a8e458fcf2bd7"}, + {file = "tbb-2021.12.0-py3-none-win32.whl", hash = "sha256:b1725b30c174048edc8be70bd43bb95473f396ce895d91151a474d0fa9f450a8"}, + {file = "tbb-2021.12.0-py3-none-win_amd64.whl", hash = "sha256:fc2772d850229f2f3df85f1109c4844c495a2db7433d38200959ee9265b34789"}, +] + @@ -4761,0 +4838,81 @@ files = [ +[[package]] +name = "torch" +version = "2.3.0" +description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "torch-2.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37bcdd926f35d5c72f1a6d28229733244bb2653a8fa779c4c10dd97e330d6ba2"}, +] + +[package.dependencies] +filelock = "" +fsspec = "" +jinja2 = "" +mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""} +networkx = "" +sympy = "" +typing-extensions = ">=4.8.0" + +[package.extras] +opt-einsum = ["opt-einsum (>=3.3)"] +optree = ["optree (>=0.9.1)"] + +[package.source] +type = "url" +url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl" + +[[package]] +name = "torch" +version = "2.3.0" +description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "torch-2.3.0-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:760f8bedff506ce9e6e103498f9b1e9e15809e008368594c3a66bf74a8a51380"}, +] + +[package.dependencies] +filelock = "" +fsspec = "" +jinja2 = "" +mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""} +networkx = "" +sympy = "" +typing-extensions = ">=4.8.0" + +[package.extras] +opt-einsum = ["opt-einsum (>=3.3)"] +optree = ["optree (>=0.9.1)"] + +[package.source] +type = "url" +url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp39-none-macosx_11_0_arm64.whl" + +[[package]] +name = "torch" +version = "2.3.0+cpu" +description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration" +optional = false +python-versions = ">=3.8.0" +files = [ + {file = "torch-2.3.0+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:1e86e225e472392440ace378ba3165b5e87648e8b5fbf16adc41c0df881c38b8"}, +] + +[package.dependencies] +filelock = "" +fsspec = "" +jinja2 = "" +mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""} +networkx = "" +sympy = "*" +typing-extensions = ">=4.8.0" + +[package.extras] +opt-einsum = ["opt-einsum (>=3.3)"] +optree = ["optree (>=0.9.1)"] + +[package.source] +type = "url" +url = "https://download.pytorch.org/whl/cpu/torch-2.3.0%2Bcpu-cp39-cp39-linux_x86_64.whl" + @@ -4871,0 +5029,11 @@ files = [ +[[package]] +name = "typing-extensions" +version = "4.12.0" +description = "Backported and Experimental Type Hints for Python 3.8+" +optional = false +python-versions = ">=3.8" +files = [ + {file = "typing_extensions-4.12.0-py3-none-any.whl", hash = "sha256:b349c66bea9016ac22978d800cfff206d5f9816951f12a7d0ec5578b0a819594"}, + {file = "typing_extensions-4.12.0.tar.gz", hash = "sha256:8cbcdc8606ebcb0d95453ad7dc5065e6237b6aa230a31e81d0f440c30fed5fd8"}, +] + @@ -5343 +5511 @@ python-versions = "3.9.18" -content-hash = "2cf59d2d6191aa785636a1f7c786fa3b4d9885d81944d3126034a5896d5035c0" +content-hash = "78e64a741f87ae39f7b07d64d074b8b400fc253d93b266fb2d93b0f15d1256ed" diff --git a/services/worker/pyproject.toml b/services/worker/pyproject.toml index 9ffeddff..0cffdfc6 100644 --- a/services/worker/pyproject.toml +++ b/services/worker/pyproject.toml @@ -23,0 +24,6 @@ starlette = "^0.37.1" +torch = [ + { url = "https://download.pytorch.org/whl/cpu/torch-2.3.0%2Bcpu-cp39-cp39-linux_x86_64.whl", markers = "sys_platform == 'linux' and platform_machine != 'aarch64'"}, + { url = "https://download.pytorch.org/whl/cpu/torch-2.3.0%2Bcpu-cp39-cp39-linux_x86_64.whl", markers = "sys_platform == 'darwin' and platform_machine != 'arm64'"}, + { url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp39-none-macosx_11_0_arm64.whl", markers = "sys_platform == 'darwin' and platform_machine == 'arm64'"}, + { url = "https://download.pytorch.org/whl/cpu/torch-2.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", markers = "sys_platform == 'linux' and platform_machine == 'aarch64'"}, +]
4f0c623509689f6896372e453711f00078992a28	Quentin Lhoest	[email protected]	2024-05-30T10:55:56	More webdataset fixes (#2870)	diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index 74d96ba2..68cd8efc 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -666,2 +666,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1454 +1454 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -2096,0 +2097 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -2109,0 +2111 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -2115,0 +2118 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -3020 +3022,0 @@ 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 ba226cbe..85a10f8d 100644 --- a/jobs/cache_maintenance/poetry.lock +++ b/jobs/cache_maintenance/poetry.lock @@ -599,2 +599,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1081 +1081 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -2742 +2741,0 @@ 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 17d82d25..cd0ea9b8 100644 --- a/jobs/mongodb_migration/poetry.lock +++ b/jobs/mongodb_migration/poetry.lock @@ -599,2 +599,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1081 +1081 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -2742 +2741,0 @@ 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 b392060e..e7f6b250 100644 --- a/libs/libapi/poetry.lock +++ b/libs/libapi/poetry.lock @@ -606,2 +606,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1149 +1149 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -2856 +2855,0 @@ 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 613b4799..e4cc3ca4 100644 --- a/libs/libcommon/poetry.lock +++ b/libs/libcommon/poetry.lock @@ -635,2 +635,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -2900 +2899,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3916 +3915 @@ python-versions = "3.9.18" -content-hash = "3aee268ddec5e0b9831f95f02e2ff063d77bca151e92b2a6987cd2c8216bdbeb" +content-hash = "5d4d449752c2d58cb325297fb8c03548fe38ab1893810fa16ce67716d8a6cfa4" diff --git a/libs/libcommon/pyproject.toml b/libs/libcommon/pyproject.toml index 526642ca..fd2a7272 100644 --- a/libs/libcommon/pyproject.toml +++ b/libs/libcommon/pyproject.toml @@ -12 +12 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} # branch = "datasets-2.19.1-hotfix" +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} # branch = "datasets-2.19.1-hotfix" diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 00fccbeb..46baf2b4 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -613,2 +613,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1172 +1172 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -2871 +2870,0 @@ 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 ed685a1e..681e1b80 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -613,2 +613,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1191 +1191 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -2922 +2921,0 @@ 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 dccf66c5..493bafe7 100644 --- a/services/rows/poetry.lock +++ b/services/rows/poetry.lock @@ -632,2 +632,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1210 +1210 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -3016 +3015,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, diff --git a/services/search/poetry.lock b/services/search/poetry.lock index a7239e6e..c66f2d73 100644 --- a/services/search/poetry.lock +++ b/services/search/poetry.lock @@ -613,2 +613,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" -resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" +resolved_reference = "0036a5ea9b10719b735084038d7d98402d1fadfe" @@ -1250 +1250 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "0036a5ea9b10719b735084038d7d98402d1fadfe", extras = ["audio", "vision"]} @@ -3069 +3068,0 @@ files = [ - 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974e25c031f34b865754d7aa3849dd149b1d702f	Andrea Francis Soria Jimenez	[email protected]	2024-05-29T18:59:43	Run the backfill on retryable errors every 2 hours (not every 30 min) (#2871)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index f5fe997b..6a6be9ef 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -208 +208 @@ backfillRetryableErrors: - schedule: "/30 * * " + schedule: "0 /2 * * *"
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3957056b1c37a9f40e103c093974012bc95ebad7	Quentin Lhoest	[email protected]	2024-05-29T14:26:50	Refine blocked datasets for open llm leaderboard (#2869)	diff --git a/chart/values.yaml b/chart/values.yaml index 0c143156..97ad15aa 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -82 +82 @@ common: - blockedDatasets: "huggingface-leaderboard/,open-llm-leaderboard/,lunaluan/,atom-in-the-universe/,cot-leaderboard/cot-eval-traces,mitermix/yt-links,mcding-org/" + blockedDatasets: "open-llm-leaderboard/details_,lunaluan/,atom-in-the-universe/,cot-leaderboard/cot-eval-traces,mitermix/yt-links,mcding-org/*"
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cba0e14391bd0ac7ebe6b2f5b6f644599cd59f1e	Albert Villanova del Moral	[email protected]	2024-05-29T08:27:10	Update pip-audit dev dependency to 2.7.3 (#2858)	diff --git a/e2e/poetry.lock b/e2e/poetry.lock index 540af884..c6ac22e2 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -166,2 +166,2 @@ name = "cyclonedx-python-lib" -version = "4.2.3" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -169 +169 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -171,2 +171,2 @@ files = [ - {file = "cyclonedx_python_lib-4.2.3-py3-none-any.whl", hash = "sha256:e9b923af525b6acf7bab917a35360b4b562b85dc15fde9eaa500828949adf73a"}, - {file = "cyclonedx_python_lib-4.2.3.tar.gz", hash = "sha256:904068b55d1665f0ea96f38307603cc14f95c3b421f1687fc2411326aefde3a6"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -177,2 +177,2 @@ license-expression = ">=30,<31" -packageurl-python = ">=0.11" -py-serializable = ">=0.11.1,<0.12.0" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -180,0 +181,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] + @@ -689 +694 @@ name = "pip-audit" -version = "2.6.1" +version = "2.7.3" @@ -692 +697 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -694,2 +699,2 @@ files = [ - 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{file = "pip_audit-2.5.6-py3-none-any.whl", hash = "sha256:7673bea690470024f1aec9be26055334cb987a530c6a431a31c347f66064e475"}, - {file = "pip_audit-2.5.6.tar.gz", hash = "sha256:04fc0ad1727674181bda243a457af5a73038ee691dd9b8afc71f7e9292ce3912"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -1825,2 +1870,2 @@ files = [ -CacheControl = {version = ">=0.12.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=2.0,<2.5.0 \|\| >2.5.0,<3.0" +CacheControl = {version = ">=0.13.0", extras = ["filecache"]} +cyclonedx-python-lib = ">=5,<8" @@ -1834 +1878,0 @@ toml = ">=0.10" -urllib3 = ">=1.26,<2.0" @@ -1839,2 +1883,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.270)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -1936,0 +1981,14 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] +[[package]] +name = "py-serializable" +version = "1.0.3" +description = "Library for serializing and deserializing Python Objects to and from JSON and XML." +optional = false +python-versions = "<4.0,>=3.8" +files = [ + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, +] + +[package.dependencies] +defusedxml = ">=0.7.1,<0.8.0" + @@ -2422,16 +2479,0 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo -[[package]] -name = "setuptools" -version = "67.8.0" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.7" -files = [ - 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@@ -2999 +3041 @@ python-versions = "3.9.18" -content-hash = "79ca63b59c7bce415598fab942efc07b7716fda62e4d01fd6f13d8f90c72aaf0" +content-hash = "609b6cc161a3376c0b2e07c4f51d989dfe36380b230d35b8944ee4af8960e019" diff --git a/jobs/cache_maintenance/pyproject.toml b/jobs/cache_maintenance/pyproject.toml index 0fe8bae4..1bd8e048 100644 --- a/jobs/cache_maintenance/pyproject.toml +++ b/jobs/cache_maintenance/pyproject.toml @@ -16 +16 @@ mypy = "^1.10.0" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock index fb934ecf..4dd876cf 100644 --- a/jobs/mongodb_migration/poetry.lock +++ b/jobs/mongodb_migration/poetry.lock @@ -241,0 +242,11 @@ yaml = ["PyYAML"] +[[package]] +name = "boolean-py" +version = "4.0" +description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL." +optional = false +python-versions = "" +files = [ + {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"}, + {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"}, +] + @@ -520,2 +531,2 @@ name = "cyclonedx-python-lib" -version = "2.7.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -523 +534 @@ optional = false -python-versions = ">=3.6,<4.0" +python-versions = "<4.0,>=3.8" @@ -525,2 +536,2 @@ files = [ - {file = "cyclonedx-python-lib-2.7.1.tar.gz", hash = "sha256:493bf2f30e26c48f305f745ed8580ce10d05a8d68d62a598fe95f05a0d9007dc"}, - {file = "cyclonedx_python_lib-2.7.1-py3-none-any.whl", hash = "sha256:fabc4c8baf722faeea01c3bbca83730e3489dfb37d85c6036baa67a9a7519d40"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -530,2 +541,3 @@ files = [ -packageurl-python = ">=0.9" -setuptools = ">=47.0.0" +license-expression = ">=30,<31" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -533 +545,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" -toml = ">=0.10.0,<0.11.0" + +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] @@ -596,0 +613,11 @@ files = [ +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4." +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + @@ -1092,0 +1120,18 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", " +[[package]] +name = "license-expression" +version = "30.3.0" +description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic." +optional = false +python-versions = ">=3.8" +files = [ + {file = "license-expression-30.3.0.tar.gz", hash = "sha256:1295406f736b4f395ff069aec1cebfad53c0fcb3cf57df0f5ec58fc7b905aea5"}, + {file = "license_expression-30.3.0-py3-none-any.whl", hash = "sha256:ae0ba9a829d6909c785dc2f0131f13d10d68318e4a5f28af5ef152d6b52f9b41"}, +] + +[package.dependencies] +"boolean.py" = ">=4.0" + +[package.extras] +docs = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)"] +testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"] + @@ -1815 +1860 @@ name = "pip-audit" -version = "2.5.6" +version = "2.7.3" @@ -1818 +1863 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -1820,2 +1865,2 @@ files = [ - {file = "pip_audit-2.5.6-py3-none-any.whl", hash = "sha256:7673bea690470024f1aec9be26055334cb987a530c6a431a31c347f66064e475"}, - {file = "pip_audit-2.5.6.tar.gz", hash = "sha256:04fc0ad1727674181bda243a457af5a73038ee691dd9b8afc71f7e9292ce3912"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -1825,2 +1870,2 @@ files = [ -CacheControl = {version = ">=0.12.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=2.0,<2.5.0 \|\| >2.5.0,<3.0" +CacheControl = {version = ">=0.13.0", extras = ["filecache"]} +cyclonedx-python-lib = ">=5,<8" @@ -1834 +1878,0 @@ toml = ">=0.10" -urllib3 = ">=1.26,<2.0" @@ -1839,2 +1883,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.270)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -1936,0 +1981,14 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] +[[package]] +name = "py-serializable" +version = "1.0.3" +description = "Library for serializing and deserializing Python Objects to and from JSON and XML." +optional = false +python-versions = "<4.0,>=3.8" +files = [ + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, +] + +[package.dependencies] +defusedxml = ">=0.7.1,<0.8.0" + @@ -2422,16 +2479,0 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo -[[package]] -name = "setuptools" -version = "67.8.0" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.7" -files = [ - {file = "setuptools-67.8.0-py3-none-any.whl", hash = "sha256:5df61bf30bb10c6f756eb19e7c9f3b473051f48db77fddbe06ff2ca307df9a6f"}, - {file = "setuptools-67.8.0.tar.gz", hash = "sha256:62642358adc77ffa87233bc4d2354c4b2682d214048f500964dbe760ccedf102"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] -testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] -testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] - @@ -2974 +3016 @@ python-versions = "3.9.18" -content-hash = "40400393524861ff620d0acf896c419b859b1566899e74c0b446fb31dd682abe" +content-hash = "507c9030ba1c2747c01e8718c9622b4dcc245ecd7db7b35e0b084100c77d3624" diff --git a/jobs/mongodb_migration/pyproject.toml b/jobs/mongodb_migration/pyproject.toml index 782a4d15..b4f9c5ba 100644 --- a/jobs/mongodb_migration/pyproject.toml +++ b/jobs/mongodb_migration/pyproject.toml @@ -16 +16 @@ mypy = "^1.10.0" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock index 24503662..9b003b9e 100644 --- a/libs/libapi/poetry.lock +++ b/libs/libapi/poetry.lock @@ -538,2 +538,2 @@ name = "cyclonedx-python-lib" -version = "4.2.2" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -541 +541 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -543,2 +543,2 @@ files = [ - {file = "cyclonedx_python_lib-4.2.2-py3-none-any.whl", hash = "sha256:fabc09bedc1e5aa2244d16bb72faaf88d2ff918c9a5f5c1a9026f75d1f896015"}, - {file = "cyclonedx_python_lib-4.2.2.tar.gz", hash = "sha256:d8fd40a94ab9130e9d1292ecebd35bd081f8a2d589c5259eaf7ec5caa5e95a43"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -549,2 +549,2 @@ license-expression = ">=30,<31" -packageurl-python = ">=0.11" -py-serializable = ">=0.11.1,<0.12.0" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -552,0 +553,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] + @@ -1978 +1983 @@ name = "pip-audit" -version = "2.6.1" +version = "2.7.3" @@ -1981 +1986 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -1983,2 +1988,2 @@ files = [ - {file = "pip_audit-2.6.1-py3-none-any.whl", hash = "sha256:8a32bb67dca6a76c244bbccebed562c0f6957b1fc9d34d59a9ec0fbff0672ae0"}, - {file = "pip_audit-2.6.1.tar.gz", hash = "sha256:55c9bd18b0fe3959f73397db08d257c6012ad1826825e3d74cb6c3f79e95c245"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -1989 +1994 @@ CacheControl = {version = ">=0.13.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=4.0,<5.0" +cyclonedx-python-lib = ">=5,<8" @@ -2001,2 +2006,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.281)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2116 +2121 @@ name = "py-serializable" -version = "0.11.1" +version = "1.0.3" @@ -2119 +2124 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -2121,2 +2126,2 @@ files = [ - {file = "py-serializable-0.11.1.tar.gz", hash = "sha256:ba0e1287b9e4f645a5334f1913abd8e647e7250209f84f55dce3909498a6f586"}, - {file = "py_serializable-0.11.1-py3-none-any.whl", hash = "sha256:79e21f0672822e6200b15f45ce9f636e8126466f62dbd7d488c67313c72b5c3e"}, + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, @@ -3200 +3205 @@ python-versions = "3.9.18" -content-hash = "9d2d901c670982ce17cd259463b9653ddb3d1968a6f53ff4431c7ab2d27808ee" +content-hash = "f6e27feb01d05fd72e991fa0462e7058d7df406b75c1cb1bc929e2dae36a10be" diff --git a/libs/libapi/pyproject.toml b/libs/libapi/pyproject.toml index 269a93de..35e778f5 100644 --- a/libs/libapi/pyproject.toml +++ b/libs/libapi/pyproject.toml @@ -23 +23 @@ pillow = "^10.3.0" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/libs/libcommon/poetry.lock b/libs/libcommon/poetry.lock index 6811ea8d..6496925f 100644 --- a/libs/libcommon/poetry.lock +++ b/libs/libcommon/poetry.lock @@ -241,0 +242,11 @@ yaml = ["PyYAML"] +[[package]] +name = "boolean-py" +version = "4.0" +description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL." +optional = false +python-versions = "" +files = [ + {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"}, + {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"}, +] + @@ -556,2 +567,2 @@ name = "cyclonedx-python-lib" -version = "2.7.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -559 +570 @@ optional = false -python-versions = ">=3.6,<4.0" +python-versions = "<4.0,>=3.8" @@ -561,2 +572,2 @@ files = [ - {file = "cyclonedx-python-lib-2.7.1.tar.gz", hash = "sha256:493bf2f30e26c48f305f745ed8580ce10d05a8d68d62a598fe95f05a0d9007dc"}, - {file = "cyclonedx_python_lib-2.7.1-py3-none-any.whl", hash = "sha256:fabc4c8baf722faeea01c3bbca83730e3489dfb37d85c6036baa67a9a7519d40"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -566,2 +577,3 @@ files = [ -packageurl-python = ">=0.9" -setuptools = ">=47.0.0" +license-expression = ">=30,<31" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -569 +581,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" -toml = ">=0.10.0,<0.11.0" + +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] @@ -632,0 +649,11 @@ files = [ +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4." +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + @@ -1164,0 +1192,18 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", " +[[package]] +name = "license-expression" +version = "30.3.0" +description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic." +optional = false +python-versions = ">=3.8" +files = [ + {file = "license-expression-30.3.0.tar.gz", hash = "sha256:1295406f736b4f395ff069aec1cebfad53c0fcb3cf57df0f5ec58fc7b905aea5"}, + {file = "license_expression-30.3.0-py3-none-any.whl", hash = "sha256:ae0ba9a829d6909c785dc2f0131f13d10d68318e4a5f28af5ef152d6b52f9b41"}, +] + +[package.dependencies] +"boolean.py" = ">=4.0" + +[package.extras] +docs = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)"] +testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"] + @@ -2009 +2054 @@ name = "pip-audit" -version = "2.5.6" +version = "2.7.3" @@ -2012 +2057 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2014,2 +2059,2 @@ files = [ - {file = "pip_audit-2.5.6-py3-none-any.whl", hash = "sha256:7673bea690470024f1aec9be26055334cb987a530c6a431a31c347f66064e475"}, - {file = "pip_audit-2.5.6.tar.gz", hash = "sha256:04fc0ad1727674181bda243a457af5a73038ee691dd9b8afc71f7e9292ce3912"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -2019,2 +2064,2 @@ files = [ -CacheControl = {version = ">=0.12.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=2.0,<2.5.0 \|\| >2.5.0,<3.0" +CacheControl = {version = ">=0.13.0", extras = ["filecache"]} +cyclonedx-python-lib = ">=5,<8" @@ -2028 +2072,0 @@ toml = ">=0.10" -urllib3 = ">=1.26,<2.0" @@ -2033,2 +2077,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.270)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2130,0 +2175,14 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] +[[package]] +name = "py-serializable" +version = "1.0.3" +description = "Library for serializing and deserializing Python Objects to and from JSON and XML." +optional = false +python-versions = "<4.0,>=3.8" +files = [ + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, +] + +[package.dependencies] +defusedxml = ">=0.7.1,<0.8.0" + @@ -2666,16 +2723,0 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo -[[package]] -name = "setuptools" -version = "67.8.0" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.7" -files = [ - {file = "setuptools-67.8.0-py3-none-any.whl", hash = "sha256:5df61bf30bb10c6f756eb19e7c9f3b473051f48db77fddbe06ff2ca307df9a6f"}, - {file = "setuptools-67.8.0.tar.gz", hash = "sha256:62642358adc77ffa87233bc4d2354c4b2682d214048f500964dbe760ccedf102"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] -testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] -testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] - @@ -3719 +3761 @@ python-versions = "3.9.18" -content-hash = "58311a302c975f76ee5c0f97d7bc84bc4e3d3abd5d778917793c6e909485ba46" +content-hash = "c71668939d880c9a45e5b0fb0df95d95b5cf1537f7ad17ba26da787a3363c20c" diff --git a/libs/libcommon/pyproject.toml b/libs/libcommon/pyproject.toml index b1f88a75..b1782e14 100644 --- a/libs/libcommon/pyproject.toml +++ b/libs/libcommon/pyproject.toml @@ -41 +41 @@ pandas-stubs = "^1.5.3" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 8875058e..4a08e15b 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -241,0 +242,11 @@ yaml = ["PyYAML"] +[[package]] +name = "boolean-py" +version = "4.0" +description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL." +optional = false +python-versions = "" +files = [ + {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"}, + {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"}, +] + @@ -534,2 +545,2 @@ name = "cyclonedx-python-lib" -version = "2.7.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -537 +548 @@ optional = false -python-versions = ">=3.6,<4.0" +python-versions = "<4.0,>=3.8" @@ -539,2 +550,2 @@ files = [ - {file = "cyclonedx-python-lib-2.7.1.tar.gz", hash = "sha256:493bf2f30e26c48f305f745ed8580ce10d05a8d68d62a598fe95f05a0d9007dc"}, - {file = "cyclonedx_python_lib-2.7.1-py3-none-any.whl", hash = "sha256:fabc4c8baf722faeea01c3bbca83730e3489dfb37d85c6036baa67a9a7519d40"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -544,2 +555,3 @@ files = [ -packageurl-python = ">=0.9" -setuptools = ">=47.0.0" +license-expression = ">=30,<31" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -547 +559,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" -toml = ">=0.10.0,<0.11.0" + +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] @@ -610,0 +627,11 @@ files = [ +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4." +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + @@ -1183,0 +1211,18 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", " +[[package]] +name = "license-expression" +version = "30.3.0" +description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic." +optional = false +python-versions = ">=3.8" +files = [ + {file = "license-expression-30.3.0.tar.gz", hash = "sha256:1295406f736b4f395ff069aec1cebfad53c0fcb3cf57df0f5ec58fc7b905aea5"}, + {file = "license_expression-30.3.0-py3-none-any.whl", hash = "sha256:ae0ba9a829d6909c785dc2f0131f13d10d68318e4a5f28af5ef152d6b52f9b41"}, +] + +[package.dependencies] +"boolean.py" = ">=4.0" + +[package.extras] +docs = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)"] +testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"] + @@ -1906 +1951 @@ name = "pip-audit" -version = "2.5.6" +version = "2.7.3" @@ -1909 +1954 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -1911,2 +1956,2 @@ files = [ - {file = "pip_audit-2.5.6-py3-none-any.whl", hash = "sha256:7673bea690470024f1aec9be26055334cb987a530c6a431a31c347f66064e475"}, - {file = "pip_audit-2.5.6.tar.gz", hash = "sha256:04fc0ad1727674181bda243a457af5a73038ee691dd9b8afc71f7e9292ce3912"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -1916,2 +1961,2 @@ files = [ -CacheControl = {version = ">=0.12.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=2.0,<2.5.0 \|\| >2.5.0,<3.0" +CacheControl = {version = ">=0.13.0", extras = ["filecache"]} +cyclonedx-python-lib = ">=5,<8" @@ -1925 +1969,0 @@ toml = ">=0.10" -urllib3 = ">=1.26,<2.0" @@ -1930,2 +1974,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.270)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2027,0 +2072,14 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] +[[package]] +name = "py-serializable" +version = "1.0.3" +description = "Library for serializing and deserializing Python Objects to and from JSON and XML." +optional = false +python-versions = "<4.0,>=3.8" +files = [ + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, +] + +[package.dependencies] +defusedxml = ">=0.7.1,<0.8.0" + @@ -2551,16 +2608,0 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo -[[package]] -name = "setuptools" -version = "67.8.0" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.7" -files = [ - {file = "setuptools-67.8.0-py3-none-any.whl", hash = "sha256:5df61bf30bb10c6f756eb19e7c9f3b473051f48db77fddbe06ff2ca307df9a6f"}, - {file = "setuptools-67.8.0.tar.gz", hash = "sha256:62642358adc77ffa87233bc4d2354c4b2682d214048f500964dbe760ccedf102"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] -testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] -testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] - @@ -3200 +3242 @@ python-versions = "3.9.18" -content-hash = "68951a79057617fe1ac19d456902ffe3a679e546bd78436762f61f971051f67e" +content-hash = "9ae307af072e67666998dfb1fd2cba6facb3b625de61a7735c85ffd7f40b706f" diff --git a/services/admin/pyproject.toml b/services/admin/pyproject.toml index 23a94954..bfa0c2a1 100644 --- a/services/admin/pyproject.toml +++ b/services/admin/pyproject.toml @@ -21 +21 @@ mypy = "^1.10.0" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 5b772440..b53bda18 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -241,0 +242,11 @@ yaml = ["PyYAML"] +[[package]] +name = "boolean-py" +version = "4.0" +description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL." +optional = false +python-versions = "" +files = [ + {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"}, + {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"}, +] + @@ -534,2 +545,2 @@ name = "cyclonedx-python-lib" -version = "2.7.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -537 +548 @@ optional = false -python-versions = ">=3.6,<4.0" +python-versions = "<4.0,>=3.8" @@ -539,2 +550,2 @@ files = [ - {file = "cyclonedx-python-lib-2.7.1.tar.gz", hash = "sha256:493bf2f30e26c48f305f745ed8580ce10d05a8d68d62a598fe95f05a0d9007dc"}, - {file = "cyclonedx_python_lib-2.7.1-py3-none-any.whl", hash = "sha256:fabc4c8baf722faeea01c3bbca83730e3489dfb37d85c6036baa67a9a7519d40"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -544,2 +555,3 @@ files = [ -packageurl-python = ">=0.9" -setuptools = ">=47.0.0" +license-expression = ">=30,<31" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -547 +559,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" -toml = ">=0.10.0,<0.11.0" + +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] @@ -610,0 +627,11 @@ files = [ +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4." +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + @@ -1202,0 +1230,18 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", " +[[package]] +name = "license-expression" +version = "30.3.0" +description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic." +optional = false +python-versions = ">=3.8" +files = [ + {file = "license-expression-30.3.0.tar.gz", hash = "sha256:1295406f736b4f395ff069aec1cebfad53c0fcb3cf57df0f5ec58fc7b905aea5"}, + {file = "license_expression-30.3.0-py3-none-any.whl", hash = "sha256:ae0ba9a829d6909c785dc2f0131f13d10d68318e4a5f28af5ef152d6b52f9b41"}, +] + +[package.dependencies] +"boolean.py" = ">=4.0" + +[package.extras] +docs = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)"] +testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"] + @@ -1939 +1984 @@ name = "pip-audit" -version = "2.5.6" +version = "2.7.3" @@ -1942 +1987 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -1944,2 +1989,2 @@ files = [ - {file = "pip_audit-2.5.6-py3-none-any.whl", hash = "sha256:7673bea690470024f1aec9be26055334cb987a530c6a431a31c347f66064e475"}, - {file = "pip_audit-2.5.6.tar.gz", hash = "sha256:04fc0ad1727674181bda243a457af5a73038ee691dd9b8afc71f7e9292ce3912"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -1949,2 +1994,2 @@ files = [ -CacheControl = {version = ">=0.12.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=2.0,<2.5.0 \|\| >2.5.0,<3.0" +CacheControl = {version = ">=0.13.0", extras = ["filecache"]} +cyclonedx-python-lib = ">=5,<8" @@ -1958 +2002,0 @@ toml = ">=0.10" -urllib3 = ">=1.26,<2.0" @@ -1963,2 +2007,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.270)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2060,0 +2105,14 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] +[[package]] +name = "py-serializable" +version = "1.0.3" +description = "Library for serializing and deserializing Python Objects to and from JSON and XML." +optional = false +python-versions = "<4.0,>=3.8" +files = [ + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, +] + +[package.dependencies] +defusedxml = ">=0.7.1,<0.8.0" + @@ -2602,16 +2659,0 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo -[[package]] -name = "setuptools" -version = "67.8.0" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.7" -files = [ - {file = "setuptools-67.8.0-py3-none-any.whl", hash = "sha256:5df61bf30bb10c6f756eb19e7c9f3b473051f48db77fddbe06ff2ca307df9a6f"}, - {file = "setuptools-67.8.0.tar.gz", hash = "sha256:62642358adc77ffa87233bc4d2354c4b2682d214048f500964dbe760ccedf102"}, -] - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] -testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] -testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] - @@ -3248 +3290 @@ python-versions = "3.9.18" -content-hash = "15c1eac47a6bb60a0bbd67998eaaafbe017698fdcfa2482355abc63cbfba26f6" +content-hash = "83ed01319a5ac062a41c5db613bffcd185ccd2f1812f30794f3aaa1854b20ece" diff --git a/services/api/pyproject.toml b/services/api/pyproject.toml index 20801574..3360ca8d 100644 --- a/services/api/pyproject.toml +++ b/services/api/pyproject.toml @@ -21 +21 @@ pandas-stubs = "^1.5.3" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/services/rows/poetry.lock b/services/rows/poetry.lock index ac0d72bf..bbea60d4 100644 --- a/services/rows/poetry.lock +++ b/services/rows/poetry.lock @@ -241,0 +242,11 @@ yaml = ["PyYAML"] +[[package]] +name = "boolean-py" +version = "4.0" +description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL." +optional = false +python-versions = "" +files = [ + {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"}, + {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"}, +] + @@ -553,2 +564,2 @@ name = "cyclonedx-python-lib" -version = "4.0.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -556 +567 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -558,2 +569,2 @@ files = [ - {file = "cyclonedx_python_lib-4.0.1-py3-none-any.whl", hash = "sha256:907b64f00df85d727a425de86604768b248cf19285993729e04f17bec767f692"}, - {file = "cyclonedx_python_lib-4.0.1.tar.gz", hash = "sha256:878e33b8e0080c786f6cbd4c6f87ad610db65d6a3a686a5698415d9cfcd8925d"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -563,2 +574,3 @@ files = [ -packageurl-python = ">=0.11" -py-serializable = ">=0.11.1,<0.12.0" +license-expression = ">=30,<31" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -566,0 +579,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] + @@ -1248,0 +1266,18 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", " +[[package]] +name = "license-expression" +version = "30.3.0" +description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic." +optional = false +python-versions = ">=3.8" +files = [ + {file = "license-expression-30.3.0.tar.gz", hash = "sha256:1295406f736b4f395ff069aec1cebfad53c0fcb3cf57df0f5ec58fc7b905aea5"}, + {file = "license_expression-30.3.0-py3-none-any.whl", hash = "sha256:ae0ba9a829d6909c785dc2f0131f13d10d68318e4a5f28af5ef152d6b52f9b41"}, +] + +[package.dependencies] +"boolean.py" = ">=4.0" + +[package.extras] +docs = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)"] +testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"] + @@ -2092 +2127 @@ name = "pip-audit" -version = "2.6.0" +version = "2.7.3" @@ -2095 +2130 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2097,2 +2132,2 @@ files = [ - {file = "pip_audit-2.6.0-py3-none-any.whl", hash = "sha256:49e97e3d6663d2ed0c00b7a7c468afcb816beb3988f32f8496d3fe3927cfd627"}, - {file = "pip_audit-2.6.0.tar.gz", hash = "sha256:6431c363efa80ef52c2599197c5b8a39ff8708ce316624b97fa35b5cdf493118"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -2103 +2138 @@ CacheControl = {version = ">=0.13.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=4.0,<5.0" +cyclonedx-python-lib = ">=5,<8" @@ -2115,2 +2150,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.276)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2215 +2250 @@ name = "py-serializable" -version = "0.11.1" +version = "1.0.3" @@ -2218 +2253 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -2220,2 +2255,2 @@ files = [ - {file = "py-serializable-0.11.1.tar.gz", hash = "sha256:ba0e1287b9e4f645a5334f1913abd8e647e7250209f84f55dce3909498a6f586"}, - {file = "py_serializable-0.11.1-py3-none-any.whl", hash = "sha256:79e21f0672822e6200b15f45ce9f636e8126466f62dbd7d488c67313c72b5c3e"}, + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, @@ -3474 +3509 @@ python-versions = "3.9.18" -content-hash = "6a320a150fd62c8e8b0d95797d4b8bd956728585a9e051f907ed05fd8bf7919e" +content-hash = "d6304e0f575a9b58a0336f8cee056bafec884a89c5ee9202923f3585f3036aec" diff --git a/services/rows/pyproject.toml b/services/rows/pyproject.toml index a931d14f..b703ed3b 100644 --- a/services/rows/pyproject.toml +++ b/services/rows/pyproject.toml @@ -23 +23 @@ pandas-stubs = "^1.5.3" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/services/search/poetry.lock b/services/search/poetry.lock index e14ace60..acf15a4c 100644 --- a/services/search/poetry.lock +++ b/services/search/poetry.lock @@ -241,0 +242,11 @@ yaml = ["PyYAML"] +[[package]] +name = "boolean-py" +version = "4.0" +description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL." +optional = false +python-versions = "" +files = [ + {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"}, + {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"}, +] + @@ -534,2 +545,2 @@ name = "cyclonedx-python-lib" -version = "4.0.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -537 +548 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -539,2 +550,2 @@ files = [ - {file = "cyclonedx_python_lib-4.0.1-py3-none-any.whl", hash = "sha256:907b64f00df85d727a425de86604768b248cf19285993729e04f17bec767f692"}, - {file = "cyclonedx_python_lib-4.0.1.tar.gz", hash = "sha256:878e33b8e0080c786f6cbd4c6f87ad610db65d6a3a686a5698415d9cfcd8925d"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -544,2 +555,3 @@ files = [ -packageurl-python = ">=0.11" -py-serializable = ">=0.11.1,<0.12.0" +license-expression = ">=30,<31" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -547,0 +560,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] + @@ -1271,0 +1289,18 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", " +[[package]] +name = "license-expression" +version = "30.3.0" +description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic." +optional = false +python-versions = ">=3.8" +files = [ + {file = "license-expression-30.3.0.tar.gz", hash = "sha256:1295406f736b4f395ff069aec1cebfad53c0fcb3cf57df0f5ec58fc7b905aea5"}, + {file = "license_expression-30.3.0-py3-none-any.whl", hash = "sha256:ae0ba9a829d6909c785dc2f0131f13d10d68318e4a5f28af5ef152d6b52f9b41"}, +] + +[package.dependencies] +"boolean.py" = ">=4.0" + +[package.extras] +docs = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)"] +testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"] + @@ -2011 +2046 @@ name = "pip-audit" -version = "2.6.1" +version = "2.7.3" @@ -2014 +2049 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2016,2 +2051,2 @@ files = [ - {file = "pip_audit-2.6.1-py3-none-any.whl", hash = "sha256:8a32bb67dca6a76c244bbccebed562c0f6957b1fc9d34d59a9ec0fbff0672ae0"}, - {file = "pip_audit-2.6.1.tar.gz", hash = "sha256:55c9bd18b0fe3959f73397db08d257c6012ad1826825e3d74cb6c3f79e95c245"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -2022 +2057 @@ CacheControl = {version = ">=0.13.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=4.0,<5.0" +cyclonedx-python-lib = ">=5,<8" @@ -2034,2 +2069,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.281)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2134 +2169 @@ name = "py-serializable" -version = "0.11.1" +version = "1.0.3" @@ -2137 +2172 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -2139,2 +2174,2 @@ files = [ - {file = "py-serializable-0.11.1.tar.gz", hash = "sha256:ba0e1287b9e4f645a5334f1913abd8e647e7250209f84f55dce3909498a6f586"}, - {file = "py_serializable-0.11.1-py3-none-any.whl", hash = "sha256:79e21f0672822e6200b15f45ce9f636e8126466f62dbd7d488c67313c72b5c3e"}, + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, @@ -3412 +3447 @@ python-versions = "3.9.18" -content-hash = "d5f52d01dfc17e2ae313d8cd11bccdb98fa80b8726aab36c866b18bf311d99ac" +content-hash = "36b8da9a44ac77825892e7dcc0144ad16bd5c25ea6d54398880d31eba3b19266" diff --git a/services/search/pyproject.toml b/services/search/pyproject.toml index bf37a16d..c2a40779 100644 --- a/services/search/pyproject.toml +++ b/services/search/pyproject.toml @@ -22 +22 @@ pandas-stubs = "^1.5.3" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/services/sse-api/poetry.lock b/services/sse-api/poetry.lock index 5eeeb745..0e593998 100644 --- a/services/sse-api/poetry.lock +++ b/services/sse-api/poetry.lock @@ -545,2 +545,2 @@ name = "cyclonedx-python-lib" -version = "4.2.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -548 +548 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -550,2 +550,2 @@ files = [ - {file = "cyclonedx_python_lib-4.2.1-py3-none-any.whl", hash = "sha256:b6b3818d48ed932545d3c5c819cbfe9a1fe452fba363388d2005ba9b054c81cb"}, - {file = "cyclonedx_python_lib-4.2.1.tar.gz", hash = "sha256:adcb074d00e5171754fc2f04269987cdf11342d2dbce2b9eeee7ebb218b1ed94"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -556,2 +556,2 @@ license-expression = ">=30,<31" -packageurl-python = ">=0.11" -py-serializable = ">=0.11.1,<0.12.0" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -559,0 +560,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] + @@ -2053 +2058 @@ name = "pip-audit" -version = "2.6.1" +version = "2.7.3" @@ -2056 +2061 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2058,2 +2063,2 @@ files = [ - {file = "pip_audit-2.6.1-py3-none-any.whl", hash = "sha256:8a32bb67dca6a76c244bbccebed562c0f6957b1fc9d34d59a9ec0fbff0672ae0"}, - {file = "pip_audit-2.6.1.tar.gz", hash = "sha256:55c9bd18b0fe3959f73397db08d257c6012ad1826825e3d74cb6c3f79e95c245"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -2064 +2069 @@ CacheControl = {version = ">=0.13.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=4.0,<5.0" +cyclonedx-python-lib = ">=5,<8" @@ -2076,2 +2081,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.281)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2191 +2196 @@ name = "py-serializable" -version = "0.11.1" +version = "1.0.3" @@ -2194 +2199 @@ optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.8" @@ -2196,2 +2201,2 @@ files = [ - {file = "py-serializable-0.11.1.tar.gz", hash = "sha256:ba0e1287b9e4f645a5334f1913abd8e647e7250209f84f55dce3909498a6f586"}, - {file = "py_serializable-0.11.1-py3-none-any.whl", hash = "sha256:79e21f0672822e6200b15f45ce9f636e8126466f62dbd7d488c67313c72b5c3e"}, + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, @@ -3539 +3544 @@ python-versions = "3.9.18" -content-hash = "19dbde4a0eb6f0563461fe6a92b7e3896fa6fc544d560d35ea1a30607731345f" +content-hash = "d38b44295cb64e7d0f972bf6e25dad81ec39251d01e5635e85671fe50c9fb648" diff --git a/services/sse-api/pyproject.toml b/services/sse-api/pyproject.toml index 13c063bb..8f9f4dc8 100644 --- a/services/sse-api/pyproject.toml +++ b/services/sse-api/pyproject.toml @@ -24 +24 @@ pandas-stubs = "^1.5.3" -pip-audit = "^2.5.4" +pip-audit = "^2.7.3" diff --git a/services/webhook/poetry.lock b/services/webhook/poetry.lock index d1d46820..352de045 100644 --- a/services/webhook/poetry.lock +++ b/services/webhook/poetry.lock @@ -241,0 +242,11 @@ yaml = ["PyYAML"] +[[package]] +name = "boolean-py" +version = "4.0" +description = "Define boolean algebras, create and parse boolean expressions and create custom boolean DSL." +optional = false +python-versions = "" +files = [ + {file = "boolean.py-4.0-py3-none-any.whl", hash = "sha256:2876f2051d7d6394a531d82dc6eb407faa0b01a0a0b3083817ccd7323b8d96bd"}, + {file = "boolean.py-4.0.tar.gz", hash = "sha256:17b9a181630e43dde1851d42bef546d616d5d9b4480357514597e78b203d06e4"}, +] + @@ -534,2 +545,2 @@ name = "cyclonedx-python-lib" -version = "2.7.1" -description = "A library for producing CycloneDX SBOM (Software Bill of Materials) files." +version = "7.4.0" +description = "Python library for CycloneDX" @@ -537 +548 @@ optional = false -python-versions = ">=3.6,<4.0" +python-versions = "<4.0,>=3.8" @@ -539,2 +550,2 @@ files = [ - {file = "cyclonedx-python-lib-2.7.1.tar.gz", hash = "sha256:493bf2f30e26c48f305f745ed8580ce10d05a8d68d62a598fe95f05a0d9007dc"}, - {file = "cyclonedx_python_lib-2.7.1-py3-none-any.whl", hash = "sha256:fabc4c8baf722faeea01c3bbca83730e3489dfb37d85c6036baa67a9a7519d40"}, + {file = "cyclonedx_python_lib-7.4.0-py3-none-any.whl", hash = "sha256:fc423e7f46d772e5ded29a48cb0743233e692e5853c49b829efc0f59014efde1"}, + {file = "cyclonedx_python_lib-7.4.0.tar.gz", hash = "sha256:09b10736a7f440262578fa40f470b448de1ebf3c7a71e2ff0a4af0781d3a3b42"}, @@ -544,2 +555,3 @@ files = [ -packageurl-python = ">=0.9" -setuptools = ">=47.0.0" +license-expression = ">=30,<31" +packageurl-python = ">=0.11,<2" +py-serializable = ">=1.0.3,<2" @@ -547 +559,5 @@ sortedcontainers = ">=2.4.0,<3.0.0" -toml = ">=0.10.0,<0.11.0" + +[package.extras] +json-validation = ["jsonschema[format] (>=4.18,<5.0)"] +validation = ["jsonschema[format] (>=4.18,<5.0)", "lxml (>=4,<6)"] +xml-validation = ["lxml (>=4,<6)"] @@ -610,0 +627,11 @@ files = [ +[[package]] +name = "defusedxml" +version = "0.7.1" +description = "XML bomb protection for Python stdlib modules" +optional = false +python-versions = ">=2.7, !=3.0., !=3.1., !=3.2., !=3.3., !=3.4." +files = [ + {file = "defusedxml-0.7.1-py2.py3-none-any.whl", hash = "sha256:a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61"}, + {file = "defusedxml-0.7.1.tar.gz", hash = "sha256:1bb3032db185915b62d7c6209c5a8792be6a32ab2fedacc84e01b52c51aa3e69"}, +] + @@ -1202,0 +1230,18 @@ tests = ["matplotlib (>=3.3.0)", "packaging (>=20.0)", "pytest", "pytest-cov", " +[[package]] +name = "license-expression" +version = "30.3.0" +description = "license-expression is a comprehensive utility library to parse, compare, simplify and normalize license expressions (such as SPDX license expressions) using boolean logic." +optional = false +python-versions = ">=3.8" +files = [ + {file = "license-expression-30.3.0.tar.gz", hash = "sha256:1295406f736b4f395ff069aec1cebfad53c0fcb3cf57df0f5ec58fc7b905aea5"}, + {file = "license_expression-30.3.0-py3-none-any.whl", hash = "sha256:ae0ba9a829d6909c785dc2f0131f13d10d68318e4a5f28af5ef152d6b52f9b41"}, +] + +[package.dependencies] +"boolean.py" = ">=4.0" + +[package.extras] +docs = ["Sphinx (>=5.0.2)", "doc8 (>=0.11.2)", "sphinx-autobuild", "sphinx-copybutton", "sphinx-reredirects (>=0.1.2)", "sphinx-rtd-dark-mode (>=1.3.0)", "sphinx-rtd-theme (>=1.0.0)", "sphinxcontrib-apidoc (>=0.4.0)"] +testing = ["black", "isort", "pytest (>=6,!=7.0.0)", "pytest-xdist (>=2)", "twine"] + @@ -1939 +1984 @@ name = "pip-audit" -version = "2.5.6" +version = "2.7.3" @@ -1942 +1987 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -1944,2 +1989,2 @@ files = [ - {file = "pip_audit-2.5.6-py3-none-any.whl", hash = "sha256:7673bea690470024f1aec9be26055334cb987a530c6a431a31c347f66064e475"}, - {file = "pip_audit-2.5.6.tar.gz", hash = "sha256:04fc0ad1727674181bda243a457af5a73038ee691dd9b8afc71f7e9292ce3912"}, + {file = "pip_audit-2.7.3-py3-none-any.whl", hash = "sha256:46a11faee3323f76adf7987de8171daeb660e8f57d8088cc27fb1c1e5c7747b0"}, + {file = "pip_audit-2.7.3.tar.gz", hash = "sha256:08891bbf179bffe478521f150818112bae998424f58bf9285c0078965aef38bc"}, @@ -1949,2 +1994,2 @@ files = [ -CacheControl = {version = ">=0.12.0", extras = ["filecache"]} -cyclonedx-python-lib = ">=2.0,<2.5.0 \|\| >2.5.0,<3.0" +CacheControl = {version = ">=0.13.0", extras = ["filecache"]} +cyclonedx-python-lib = ">=5,<8" @@ -1958 +2002,0 @@ toml = ">=0.10" -urllib3 = ">=1.26,<2.0" @@ -1963,2 +2007,2 @@ doc = ["pdoc"] -lint = ["black (>=22.3.0)", "interrogate", "isort", "mypy", "ruff (<0.0.270)", "types-html5lib", "types-requests", "types-toml"] -test = ["coverage[toml]", "pretend", "pytest", "pytest-cov"] +lint = ["interrogate", "mypy", "ruff (<0.4.3)", "setuptools", "types-html5lib", "types-requests", "types-toml"] +test = ["coverage[toml] (>=7.0,!=7.3.3,<8.0)", "pretend", "pytest", "pytest-cov"] @@ -2060,0 +2105,14 @@ test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] +[[package]] +name = "py-serializable" +version = "1.0.3" +description = "Library for serializing and deserializing Python Objects to and from JSON and XML." +optional = false +python-versions = "<4.0,>=3.8" +files = [ + {file = "py_serializable-1.0.3-py3-none-any.whl", hash = "sha256:afba815f465b9fe7ab1c1a56d1aa8880c8a9e67a6e28b7ed62d4696fa369caf8"}, + {file = "py_serializable-1.0.3.tar.gz", hash = "sha256:da3cb4b1f3cc5cc5ebecdd3dadbabd5f65d764357366fa64ee9cbaf0d4b70dcf"}, +] + +[package.dependencies] +defusedxml = ">=0.7.1,<0.8.0" + @@ -2602,16 +2659,0 @@ test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeo -[[package]] -name = "setuptools" -version = "67.8.0" -description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false -python-versions = ">=3.7" -files = [ - 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2c66fad54f1d84f074753c4cea5d152b42098977	Albert Villanova del Moral	[email protected]	2024-05-28T15:04:02	Update duckdb from 0.10.0 to 0.10.3 (#2859)	diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index 9e3ade0b..fe5563d4 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -716 +716 @@ name = "duckdb" -version = "0.10.1" +version = "0.10.3" @@ -721,47 +721,47 @@ files = [ - {file = "duckdb-0.10.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0ac172788e3d8e410e009e3699016a4d7f17b4c7cde20f98856fca1fea79d247"}, - {file = "duckdb-0.10.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f754c20d3b963574da58b0d22029681b79c63f2e32060f10b687f41b7bba54d7"}, - {file = "duckdb-0.10.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6c68b1ef88b8cce185381ec69f437d20059c30623375bab41ac07a1104acdb57"}, - {file = "duckdb-0.10.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = 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3294b8d5233f5f9453b555616b99889b1a1dffd1	Sylvain Lesage	[email protected]	2024-05-28T11:25:19	move the backfill time (#2862)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 552bcb15..f5fe997b 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -187 +187 @@ backfill: - schedule: "25 10 * * " + schedule: "05 12 * *"
edbe8b227df882226ad5566b1700165fea201764	Sylvain Lesage	[email protected]	2024-05-28T11:19:14	block huggingface-leaderboard/* (#2861)	diff --git a/chart/values.yaml b/chart/values.yaml index ec7eef8e..0c143156 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -82 +82 @@ common: - blockedDatasets: "open-llm-leaderboard/,lunaluan/,atom-in-the-universe/,cot-leaderboard/cot-eval-traces,mitermix/yt-links,mcding-org/" + blockedDatasets: "huggingface-leaderboard/,open-llm-leaderboard/,lunaluan/,atom-in-the-universe/,cot-leaderboard/cot-eval-traces,mitermix/yt-links,mcding-org/*"
b2c7c3665f7c428510991e877355db00f230071f	Albert Villanova del Moral	[email protected]	2024-05-27T11:19:08	Update aiobotocore dependency (#2854)	diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index 82aaea80..9e3ade0b 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -5 +5 @@ name = "aiobotocore" -version = "2.7.0" +version = "2.13.0" @@ -10,2 +10,2 @@ files = [ - {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, - {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, + {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = 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["types-aiobotocore-route53-recovery-readiness (>=2.13.0,<2.14.0)"] +route53domains = ["types-aiobotocore-route53domains (>=2.13.0,<2.14.0)"] +route53profiles = ["types-aiobotocore-route53profiles (>=2.13.0,<2.14.0)"] +route53resolver = ["types-aiobotocore-route53resolver (>=2.13.0,<2.14.0)"] +rum = ["types-aiobotocore-rum (>=2.13.0,<2.14.0)"] +s3 = ["types-aiobotocore-s3 (>=2.13.0,<2.14.0)"] +s3control = ["types-aiobotocore-s3control (>=2.13.0,<2.14.0)"] +s3outposts = ["types-aiobotocore-s3outposts (>=2.13.0,<2.14.0)"] +sagemaker = ["types-aiobotocore-sagemaker (>=2.13.0,<2.14.0)"] +sagemaker-a2i-runtime = ["types-aiobotocore-sagemaker-a2i-runtime (>=2.13.0,<2.14.0)"] +sagemaker-edge = ["types-aiobotocore-sagemaker-edge (>=2.13.0,<2.14.0)"] +sagemaker-featurestore-runtime = ["types-aiobotocore-sagemaker-featurestore-runtime (>=2.13.0,<2.14.0)"] +sagemaker-geospatial = ["types-aiobotocore-sagemaker-geospatial (>=2.13.0,<2.14.0)"] +sagemaker-metrics = ["types-aiobotocore-sagemaker-metrics (>=2.13.0,<2.14.0)"] +sagemaker-runtime = ["types-aiobotocore-sagemaker-runtime (>=2.13.0,<2.14.0)"] +savingsplans = ["types-aiobotocore-savingsplans (>=2.13.0,<2.14.0)"] +scheduler = ["types-aiobotocore-scheduler (>=2.13.0,<2.14.0)"] +schemas = ["types-aiobotocore-schemas (>=2.13.0,<2.14.0)"] +sdb = ["types-aiobotocore-sdb (>=2.13.0,<2.14.0)"] +secretsmanager = ["types-aiobotocore-secretsmanager (>=2.13.0,<2.14.0)"] +securityhub = ["types-aiobotocore-securityhub (>=2.13.0,<2.14.0)"] +securitylake = ["types-aiobotocore-securitylake (>=2.13.0,<2.14.0)"] +serverlessrepo = ["types-aiobotocore-serverlessrepo (>=2.13.0,<2.14.0)"] +service-quotas = ["types-aiobotocore-service-quotas (>=2.13.0,<2.14.0)"] +servicecatalog = ["types-aiobotocore-servicecatalog (>=2.13.0,<2.14.0)"] +servicecatalog-appregistry = ["types-aiobotocore-servicecatalog-appregistry (>=2.13.0,<2.14.0)"] +servicediscovery = ["types-aiobotocore-servicediscovery (>=2.13.0,<2.14.0)"] +ses = ["types-aiobotocore-ses (>=2.13.0,<2.14.0)"] +sesv2 = ["types-aiobotocore-sesv2 (>=2.13.0,<2.14.0)"] +shield = ["types-aiobotocore-shield (>=2.13.0,<2.14.0)"] +signer = ["types-aiobotocore-signer (>=2.13.0,<2.14.0)"] +simspaceweaver = ["types-aiobotocore-simspaceweaver (>=2.13.0,<2.14.0)"] +sms = ["types-aiobotocore-sms (>=2.13.0,<2.14.0)"] +sms-voice = ["types-aiobotocore-sms-voice (>=2.13.0,<2.14.0)"] +snow-device-management = ["types-aiobotocore-snow-device-management (>=2.13.0,<2.14.0)"] +snowball = ["types-aiobotocore-snowball (>=2.13.0,<2.14.0)"] +sns = ["types-aiobotocore-sns (>=2.13.0,<2.14.0)"] +sqs = ["types-aiobotocore-sqs (>=2.13.0,<2.14.0)"] +ssm = ["types-aiobotocore-ssm (>=2.13.0,<2.14.0)"] +ssm-contacts = ["types-aiobotocore-ssm-contacts (>=2.13.0,<2.14.0)"] +ssm-incidents = ["types-aiobotocore-ssm-incidents (>=2.13.0,<2.14.0)"] +ssm-sap = ["types-aiobotocore-ssm-sap (>=2.13.0,<2.14.0)"] +sso = ["types-aiobotocore-sso (>=2.13.0,<2.14.0)"] +sso-admin = ["types-aiobotocore-sso-admin (>=2.13.0,<2.14.0)"] +sso-oidc = ["types-aiobotocore-sso-oidc (>=2.13.0,<2.14.0)"] +stepfunctions = ["types-aiobotocore-stepfunctions (>=2.13.0,<2.14.0)"] +storagegateway = ["types-aiobotocore-storagegateway (>=2.13.0,<2.14.0)"] +sts = ["types-aiobotocore-sts (>=2.13.0,<2.14.0)"] +supplychain = ["types-aiobotocore-supplychain (>=2.13.0,<2.14.0)"] +support = ["types-aiobotocore-support (>=2.13.0,<2.14.0)"] +support-app = ["types-aiobotocore-support-app (>=2.13.0,<2.14.0)"] +swf = ["types-aiobotocore-swf (>=2.13.0,<2.14.0)"] +synthetics = ["types-aiobotocore-synthetics (>=2.13.0,<2.14.0)"] +textract = ["types-aiobotocore-textract (>=2.13.0,<2.14.0)"] +timestream-influxdb = ["types-aiobotocore-timestream-influxdb (>=2.13.0,<2.14.0)"] +timestream-query = ["types-aiobotocore-timestream-query (>=2.13.0,<2.14.0)"] +timestream-write = ["types-aiobotocore-timestream-write (>=2.13.0,<2.14.0)"] +tnb = ["types-aiobotocore-tnb (>=2.13.0,<2.14.0)"] +transcribe = ["types-aiobotocore-transcribe (>=2.13.0,<2.14.0)"] +transfer = ["types-aiobotocore-transfer (>=2.13.0,<2.14.0)"] +translate = ["types-aiobotocore-translate (>=2.13.0,<2.14.0)"] +trustedadvisor = ["types-aiobotocore-trustedadvisor (>=2.13.0,<2.14.0)"] +verifiedpermissions = ["types-aiobotocore-verifiedpermissions (>=2.13.0,<2.14.0)"] +voice-id = ["types-aiobotocore-voice-id (>=2.13.0,<2.14.0)"] +vpc-lattice = ["types-aiobotocore-vpc-lattice (>=2.13.0,<2.14.0)"] +waf = ["types-aiobotocore-waf (>=2.13.0,<2.14.0)"] +waf-regional = ["types-aiobotocore-waf-regional (>=2.13.0,<2.14.0)"] +wafv2 = ["types-aiobotocore-wafv2 (>=2.13.0,<2.14.0)"] +wellarchitected = ["types-aiobotocore-wellarchitected (>=2.13.0,<2.14.0)"] +wisdom = ["types-aiobotocore-wisdom (>=2.13.0,<2.14.0)"] +workdocs = ["types-aiobotocore-workdocs (>=2.13.0,<2.14.0)"] +worklink = ["types-aiobotocore-worklink (>=2.13.0,<2.14.0)"] +workmail = ["types-aiobotocore-workmail (>=2.13.0,<2.14.0)"] +workmailmessageflow = ["types-aiobotocore-workmailmessageflow (>=2.13.0,<2.14.0)"] +workspaces = ["types-aiobotocore-workspaces (>=2.13.0,<2.14.0)"] +workspaces-thin-client = ["types-aiobotocore-workspaces-thin-client (>=2.13.0,<2.14.0)"] +workspaces-web = ["types-aiobotocore-workspaces-web (>=2.13.0,<2.14.0)"] +xray = ["types-aiobotocore-xray (>=2.13.0,<2.14.0)"] @@ -3290,2 +3299,2 @@ name = "types-aiobotocore-signer" -version = "2.9.0" -description = "Type annotations for aiobotocore.signer 2.9.0 service generated with mypy-boto3-builder 7.21.0" +version = "2.13.0" +description = "Type annotations for aiobotocore.Signer 2.13.0 service generated with mypy-boto3-builder 7.24.0" @@ -3293 +3302 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -3295,2 +3304,2 @@ files = [ - {file = "types-aiobotocore-signer-2.9.0.tar.gz", hash = "sha256:e22cc2b1deacbf9de1a8899d779798266060f334af1e443aadca8e2df289178e"}, - {file = "types_aiobotocore_signer-2.9.0-py3-none-any.whl", hash = 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= "^0" -types-aiobotocore = {extras = ["signer"], version = "^2.9.0"} +types-aiobotocore = {extras = ["signer"], version = "^2.13.0"} diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index aacc2d0b..9615016f 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -5 +5 @@ name = "aiobotocore" -version = "2.7.0" +version = "2.13.0" @@ -10,2 +10,2 @@ files = [ - {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, - {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, + {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = ">=3.9.2,<4.0.0" @@ -17 +17 @@ aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.31.16,<1.31.65" +botocore = ">=1.34.70,<1.34.107" @@ -21,2 +21,2 @@ wrapt = ">=1.10.10,<2.0.0" -awscli = ["awscli (>=1.29.16,<1.29.65)"] -boto3 = ["boto3 (>=1.28.16,<1.28.65)"] +awscli = ["awscli (>=1.32.70,<1.32.107)"] +boto3 = ["boto3 (>=1.34.70,<1.34.107)"] @@ -244 +244 @@ name = "botocore" -version = "1.31.64" +version = "1.34.106" @@ -247 +247 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -249,2 +249,2 @@ files = [ - {file = "botocore-1.31.64-py3-none-any.whl", hash = "sha256:7b709310343a5b430ec9025b2e17c0bac6b16c05f1ac1d9521dece3f10c71bac"}, - {file = "botocore-1.31.64.tar.gz", hash = "sha256:d8eb4b724ac437343359b318d73de0cfae0fecb24095827e56135b0ad6b44caf"}, + {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"}, + {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"}, @@ -259 +259 @@ urllib3 = {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""} -crt = ["awscrt (==0.16.26)"] +crt = ["awscrt (==0.20.9)"] @@ -1143,0 +1144 @@ pytz = "^2020.1" +s3fs = "2024.3.1" diff --git a/services/api/poetry.lock b/services/api/poetry.lock index 8cadff66..d7250ece 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -5 +5 @@ name = "aiobotocore" -version = "2.7.0" +version = "2.13.0" @@ -10,2 +10,2 @@ files = [ - {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, - {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, + {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = ">=3.9.2,<4.0.0" @@ -17 +17 @@ aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.31.16,<1.31.65" +botocore = ">=1.34.70,<1.34.107" @@ -21,2 +21,2 @@ wrapt = ">=1.10.10,<2.0.0" -awscli = ["awscli (>=1.29.16,<1.29.65)"] -boto3 = ["boto3 (>=1.28.16,<1.28.65)"] +awscli = ["awscli (>=1.32.70,<1.32.107)"] +boto3 = ["boto3 (>=1.34.70,<1.34.107)"] @@ -244 +244 @@ name = "botocore" -version = "1.31.64" +version = "1.34.106" @@ -247 +247 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -249,2 +249,2 @@ files = [ - {file = "botocore-1.31.64-py3-none-any.whl", hash = "sha256:7b709310343a5b430ec9025b2e17c0bac6b16c05f1ac1d9521dece3f10c71bac"}, - {file = "botocore-1.31.64.tar.gz", hash = "sha256:d8eb4b724ac437343359b318d73de0cfae0fecb24095827e56135b0ad6b44caf"}, + {file = "botocore-1.34.106-py3-none-any.whl", hash = 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"sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = ">=3.9.2,<4.0.0" @@ -17 +17 @@ aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.31.16,<1.31.65" +botocore = ">=1.34.70,<1.34.107" @@ -21,2 +21,2 @@ wrapt = ">=1.10.10,<2.0.0" -awscli = ["awscli (>=1.29.16,<1.29.65)"] -boto3 = ["boto3 (>=1.28.16,<1.28.65)"] +awscli = ["awscli (>=1.32.70,<1.32.107)"] +boto3 = ["boto3 (>=1.34.70,<1.34.107)"] @@ -244 +244 @@ name = "boto3" -version = "1.28.43" +version = "1.34.106" @@ -247 +247 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -249,2 +249,2 @@ files = [ - {file = "boto3-1.28.43-py3-none-any.whl", hash = "sha256:4cd3e96900fb50bddc9f48007176c80d15396d08c5248b25a41220f3570e014f"}, - {file = "boto3-1.28.43.tar.gz", hash = "sha256:c0211a3e830432851c73fa1e136b14dbb6d02b5c9a5e1272c557e63538620b88"}, + {file = "boto3-1.34.106-py3-none-any.whl", hash = "sha256:d3be4e1dd5d546a001cd4da805816934cbde9d395316546e9411fec341ade5cf"}, + {file = "boto3-1.34.106.tar.gz", hash = "sha256:6165b8cf1c7e625628ab28b32f9027064c8f5e5fca1c38d7fc228cd22069a19f"}, @@ -254 +254 @@ files = [ -botocore = ">=1.31.43,<1.32.0" +botocore = ">=1.34.106,<1.35.0" @@ -256 +256 @@ jmespath = ">=0.7.1,<2.0.0" -s3transfer = ">=0.6.0,<0.7.0" +s3transfer = ">=0.10.0,<0.11.0" @@ -263 +263 @@ name = "botocore" -version = "1.31.43" +version = "1.34.106" @@ -266 +266 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -268,2 +268,2 @@ files = [ - {file = "botocore-1.31.43-py3-none-any.whl", hash = "sha256:d8b0c41c8c75d82f15fee57f7d54a852a99810faacbeb9d6f3f022558a2c330e"}, - {file = "botocore-1.31.43.tar.gz", hash = "sha256:b4a3a1fcf75011351e2b0d3eb991f51f8d44a375d3e065f907dac67db232fc97"}, + {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"}, + {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"}, @@ -275 +275 @@ python-dateutil = ">=2.1,<3.0.0" -urllib3 = ">=1.25.4,<1.27" +urllib3 = {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""} @@ -278 +278 @@ urllib3 = ">=1.25.4,<1.27" -crt = ["awscrt (==0.16.26)"] +crt = ["awscrt (==0.20.9)"] @@ -1208,0 +1209 @@ pytz = "^2020.1" +s3fs = "2024.3.1" @@ -2711 +2712 @@ name = "s3transfer" -version = "0.6.2" +version = "0.10.1" @@ -2714 +2715 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">= 3.8" @@ -2716,2 +2717,2 @@ files = [ - {file = "s3transfer-0.6.2-py3-none-any.whl", hash = "sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084"}, - {file = "s3transfer-0.6.2.tar.gz", hash = "sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861"}, + {file = "s3transfer-0.10.1-py3-none-any.whl", hash = "sha256:ceb252b11bcf87080fb7850a224fb6e05c8a776bab8f2b64b7f25b969464839d"}, + {file = "s3transfer-0.10.1.tar.gz", hash = "sha256:5683916b4c724f799e600f41dd9e10a9ff19871bf87623cc8f491cb4f5fa0a19"}, @@ -2721 +2722 @@ files = [ -botocore = ">=1.12.36,<2.0a.0" +botocore = ">=1.33.2,<2.0a.0" @@ -2724 +2725 @@ botocore = ">=1.12.36,<2.0a.0" -crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"] +crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"] @@ -3473 +3474 @@ python-versions = "3.9.18" -content-hash = "4eeee3fe070ae3ea63ef87dcf223fef0e7a5aca58e671c2bc1ee251ccad5aba6" +content-hash = "d91824ccd8945572db19fba0ba4329d6599e5bf276b83dbc0f44241b3a6e59be" diff --git a/services/rows/pyproject.toml b/services/rows/pyproject.toml index c4edbfc6..ef61e818 100644 --- a/services/rows/pyproject.toml +++ b/services/rows/pyproject.toml @@ -19 +19 @@ bandit = "^1.7.4" -boto3 = "^1.28.43" +boto3 = "^1.34.0" diff --git a/services/search/poetry.lock b/services/search/poetry.lock index 72047d6c..ab20c3dd 100644 --- a/services/search/poetry.lock +++ b/services/search/poetry.lock @@ -5 +5 @@ name = "aiobotocore" -version = "2.7.0" +version = "2.13.0" @@ -10,2 +10,2 @@ files = [ - {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, - {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, + {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = ">=3.9.2,<4.0.0" @@ -17 +17 @@ aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.31.16,<1.31.65" +botocore = ">=1.34.70,<1.34.107" @@ -21,2 +21,2 @@ wrapt = ">=1.10.10,<2.0.0" -awscli = ["awscli (>=1.29.16,<1.29.65)"] -boto3 = ["boto3 (>=1.28.16,<1.28.65)"] +awscli = ["awscli (>=1.32.70,<1.32.107)"] +boto3 = ["boto3 (>=1.34.70,<1.34.107)"] @@ -244 +244 @@ name = "botocore" -version = "1.31.64" +version = "1.34.106" @@ -247 +247 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -249,2 +249,2 @@ files = [ - {file = "botocore-1.31.64-py3-none-any.whl", hash = "sha256:7b709310343a5b430ec9025b2e17c0bac6b16c05f1ac1d9521dece3f10c71bac"}, - {file = "botocore-1.31.64.tar.gz", hash = "sha256:d8eb4b724ac437343359b318d73de0cfae0fecb24095827e56135b0ad6b44caf"}, + {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"}, + {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"}, @@ -259 +259 @@ urllib3 = {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""} -crt = ["awscrt (==0.16.26)"] +crt = ["awscrt (==0.20.9)"] @@ -1231,0 +1232 @@ pytz = "^2020.1" +s3fs = "2024.3.1" diff --git a/services/sse-api/poetry.lock b/services/sse-api/poetry.lock index 74d99a5c..2dbd69c2 100644 --- a/services/sse-api/poetry.lock +++ b/services/sse-api/poetry.lock @@ -5 +5 @@ name = "aiobotocore" -version = "2.7.0" +version = "2.13.0" @@ -10,2 +10,2 @@ files = [ - {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, - {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, + {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = ">=3.9.2,<4.0.0" @@ -17 +17 @@ aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.31.16,<1.31.65" +botocore = ">=1.34.70,<1.34.107" @@ -21,2 +21,2 @@ wrapt = ">=1.10.10,<2.0.0" -awscli = ["awscli (>=1.29.16,<1.29.65)"] -boto3 = ["boto3 (>=1.28.16,<1.28.65)"] +awscli = ["awscli (>=1.32.70,<1.32.107)"] +boto3 = ["boto3 (>=1.34.70,<1.34.107)"] @@ -255 +255 @@ name = "botocore" -version = "1.31.64" +version = "1.34.106" @@ -258 +258 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -260,2 +260,2 @@ files = [ - {file = "botocore-1.31.64-py3-none-any.whl", hash = "sha256:7b709310343a5b430ec9025b2e17c0bac6b16c05f1ac1d9521dece3f10c71bac"}, - {file = "botocore-1.31.64.tar.gz", hash = "sha256:d8eb4b724ac437343359b318d73de0cfae0fecb24095827e56135b0ad6b44caf"}, + {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"}, + {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"}, @@ -270 +270 @@ urllib3 = {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""} -crt = ["awscrt (==0.16.26)"] +crt = ["awscrt (==0.20.9)"] @@ -1213,0 +1214 @@ pytz = "^2020.1" +s3fs = "2024.3.1" diff --git a/services/webhook/poetry.lock b/services/webhook/poetry.lock index 9c08183e..c1ae45e7 100644 --- a/services/webhook/poetry.lock +++ b/services/webhook/poetry.lock @@ -5 +5 @@ name = "aiobotocore" -version = "2.7.0" +version = "2.13.0" @@ -10,2 +10,2 @@ files = [ - {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, - {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, + {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = ">=3.9.2,<4.0.0" @@ -17 +17 @@ aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.31.16,<1.31.65" +botocore = ">=1.34.70,<1.34.107" @@ -21,2 +21,2 @@ wrapt = ">=1.10.10,<2.0.0" -awscli = ["awscli (>=1.29.16,<1.29.65)"] -boto3 = ["boto3 (>=1.28.16,<1.28.65)"] +awscli = ["awscli (>=1.32.70,<1.32.107)"] +boto3 = ["boto3 (>=1.34.70,<1.34.107)"] @@ -244 +244 @@ name = "botocore" -version = "1.31.64" +version = "1.34.106" @@ -247 +247 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -249,2 +249,2 @@ files = [ - {file = "botocore-1.31.64-py3-none-any.whl", hash = "sha256:7b709310343a5b430ec9025b2e17c0bac6b16c05f1ac1d9521dece3f10c71bac"}, - {file = "botocore-1.31.64.tar.gz", hash = "sha256:d8eb4b724ac437343359b318d73de0cfae0fecb24095827e56135b0ad6b44caf"}, + {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"}, + {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"}, @@ -259 +259 @@ urllib3 = {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""} -crt = ["awscrt (==0.16.26)"] +crt = ["awscrt (==0.20.9)"] @@ -1162,0 +1163 @@ pytz = "^2020.1" +s3fs = "2024.3.1" diff --git a/services/worker/poetry.lock b/services/worker/poetry.lock index 309ce07c..162c81b7 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -5 +5 @@ name = "aiobotocore" -version = "2.7.0" +version = "2.13.0" @@ -10,2 +10,2 @@ files = [ - {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, - {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, + {file = "aiobotocore-2.13.0-py3-none-any.whl", hash = "sha256:f812afc678d71b0038fd1ce712ff111ab7f47bab81ce5b4c7d222d4b83bc0cb2"}, + {file = "aiobotocore-2.13.0.tar.gz", hash = "sha256:4badf5cab6ad400216319d14278e2c99ad9b708e28a0f231605a412e632de401"}, @@ -15 +15 @@ files = [ -aiohttp = ">=3.7.4.post0,<4.0.0" +aiohttp = ">=3.9.2,<4.0.0" @@ -17 +17 @@ aioitertools = ">=0.5.1,<1.0.0" -botocore = ">=1.31.16,<1.31.65" +botocore = ">=1.34.70,<1.34.107" @@ -21,2 +21,2 @@ wrapt = ">=1.10.10,<2.0.0" -awscli = ["awscli (>=1.29.16,<1.29.65)"] -boto3 = ["boto3 (>=1.28.16,<1.28.65)"] +awscli = ["awscli (>=1.32.70,<1.32.107)"] +boto3 = ["boto3 (>=1.34.70,<1.34.107)"] @@ -312 +312 @@ name = "boto3" -version = "1.28.43" +version = "1.34.106" @@ -315 +315 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -317,2 +317,2 @@ files = [ - {file = "boto3-1.28.43-py3-none-any.whl", hash = "sha256:4cd3e96900fb50bddc9f48007176c80d15396d08c5248b25a41220f3570e014f"}, - {file = "boto3-1.28.43.tar.gz", hash = "sha256:c0211a3e830432851c73fa1e136b14dbb6d02b5c9a5e1272c557e63538620b88"}, + {file = "boto3-1.34.106-py3-none-any.whl", hash = "sha256:d3be4e1dd5d546a001cd4da805816934cbde9d395316546e9411fec341ade5cf"}, + {file = "boto3-1.34.106.tar.gz", hash = "sha256:6165b8cf1c7e625628ab28b32f9027064c8f5e5fca1c38d7fc228cd22069a19f"}, @@ -322 +322 @@ files = [ -botocore = ">=1.31.43,<1.32.0" +botocore = ">=1.34.106,<1.35.0" @@ -324 +324 @@ jmespath = ">=0.7.1,<2.0.0" -s3transfer = ">=0.6.0,<0.7.0" +s3transfer = ">=0.10.0,<0.11.0" @@ -331 +331 @@ name = "botocore" -version = "1.31.43" +version = "1.34.106" @@ -334 +334 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">=3.8" @@ -336,2 +336,2 @@ files = [ - {file = "botocore-1.31.43-py3-none-any.whl", hash = "sha256:d8b0c41c8c75d82f15fee57f7d54a852a99810faacbeb9d6f3f022558a2c330e"}, - {file = "botocore-1.31.43.tar.gz", hash = "sha256:b4a3a1fcf75011351e2b0d3eb991f51f8d44a375d3e065f907dac67db232fc97"}, + {file = "botocore-1.34.106-py3-none-any.whl", hash = "sha256:4baf0e27c2dfc4f4d0dee7c217c716e0782f9b30e8e1fff983fce237d88f73ae"}, + {file = "botocore-1.34.106.tar.gz", hash = "sha256:921fa5202f88c3e58fdcb4b3acffd56d65b24bca47092ee4b27aa988556c0be6"}, @@ -343 +343 @@ python-dateutil = ">=2.1,<3.0.0" -urllib3 = ">=1.25.4,<1.27" +urllib3 = {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""} @@ -346 +346 @@ urllib3 = ">=1.25.4,<1.27" -crt = ["awscrt (==0.16.26)"] +crt = ["awscrt (==0.20.9)"] @@ -1674,0 +1675 @@ pytz = "^2020.1" +s3fs = "2024.3.1" @@ -4107 +4108 @@ name = "s3transfer" -version = "0.6.2" +version = "0.10.1" @@ -4110 +4111 @@ optional = false -python-versions = ">= 3.7" +python-versions = ">= 3.8" @@ -4112,2 +4113,2 @@ files = [ - {file = "s3transfer-0.6.2-py3-none-any.whl", hash = "sha256:b014be3a8a2aab98cfe1abc7229cc5a9a0cf05eb9c1f2b86b230fd8df3f78084"}, - {file = "s3transfer-0.6.2.tar.gz", hash = "sha256:cab66d3380cca3e70939ef2255d01cd8aece6a4907a9528740f668c4b0611861"}, + {file = "s3transfer-0.10.1-py3-none-any.whl", hash = "sha256:ceb252b11bcf87080fb7850a224fb6e05c8a776bab8f2b64b7f25b969464839d"}, + {file = "s3transfer-0.10.1.tar.gz", hash = "sha256:5683916b4c724f799e600f41dd9e10a9ff19871bf87623cc8f491cb4f5fa0a19"}, @@ -4117 +4118 @@ files = [ -botocore = ">=1.12.36,<2.0a.0" +botocore = ">=1.33.2,<2.0a.0" @@ -4120 +4121 @@ botocore = ">=1.12.36,<2.0a.0" -crt = ["botocore[crt] (>=1.20.29,<2.0a.0)"] +crt = ["botocore[crt] (>=1.33.2,<2.0a.0)"]
3bf3b85f40f5fdbf3d83af2da836b6a2bfd8e2d5	Sylvain Lesage	[email protected]	2024-05-27T11:17:57	increase duckdb job runner version (follows #2737) (#2856)	diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index 4cef264a..934e2f6a 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -670 +670 @@ specification: ProcessingGraphSpecification = { - "job_runner_version": 2, + "job_runner_version": 3,
bc055458c10e8fe49e6c96e3123d79ce1899dc61	Sylvain Lesage	[email protected]	2024-05-27T10:55:51	Give more ram to backfill cron jobs (#2855)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index b527a8f3..552bcb15 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -181,15 +180,0 @@ mongodbMigration: -# --- jobs (post-install/upgrade hooks) --- - -deleteDuckdbIndexes: - nodeSelector: - role-datasets-server: "true" - tolerations: - - key: "huggingface.co/datasets-server" - operator: "Exists" - effect: "NoSchedule" - resources: - requests: - cpu: 1 - limits: - cpu: 1 - @@ -213 +198 @@ backfill: - memory: "10Gi" + memory: "16Gi" @@ -216 +201 @@ backfill: - memory: "10Gi" + memory: "16Gi" @@ -234 +219 @@ backfillRetryableErrors: - memory: "1Gi" + memory: "8Gi" diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml index 028a7006..eed44dd4 100644 --- a/chart/env/staging.yaml +++ b/chart/env/staging.yaml @@ -156,11 +155,0 @@ mongodbMigration: -# --- jobs (post-install/upgrade hooks) --- - -deleteDuckdbIndexes: - log: - level: "debug" - resources: - requests: - cpu: 100m - limits: - cpu: 1 -
d1c56d3d0f59996110abf7334fc807f9db8bc8ff	Polina Kazakova	[email protected]	2024-05-24T14:02:02	Store transformed values in duckdb index file (#2737)	diff --git a/libs/libcommon/src/libcommon/parquet_utils.py b/libs/libcommon/src/libcommon/parquet_utils.py index b165cbc1..0dd52ac4 100644 --- a/libs/libcommon/src/libcommon/parquet_utils.py +++ b/libs/libcommon/src/libcommon/parquet_utils.py @@ -6,0 +7 @@ from functools import lru_cache +from pathlib import Path @@ -132,0 +134,8 @@ def get_num_parquet_files_to_process( +def is_list_pa_type(parquet_file_path: Path, feature_name: str) -> bool: + # Check if (Sequence) feature is internally a List, because it can also be Struct, see + # https://huggingface.co/docs/datasets/v2.18.0/en/package_reference/main_classes#datasets.Features + feature_arrow_type = pq.read_schema(parquet_file_path).field(feature_name).type + is_list: bool = pa.types.is_list(feature_arrow_type) or pa.types.is_large_list(feature_arrow_type) + return is_list + + diff --git a/services/search/src/search/routes/search.py b/services/search/src/search/routes/search.py index 02e95b69..6bb6f074 100644 --- a/services/search/src/search/routes/search.py +++ b/services/search/src/search/routes/search.py @@ -52 +52 @@ FTS_STAGE_TABLE_COMMAND = f"SELECT * FROM (SELECT {ROW_IDX_COLUMN}, fts_main_dat -JOIN_STAGE_AND_DATA_COMMAND = f"SELECT data.* FROM fts_stage_table JOIN data USING({ROW_IDX_COLUMN}) ORDER BY fts_stage_table.{HF_FTS_SCORE} DESC;" # nosec +JOIN_STAGE_AND_DATA_COMMAND = "SELECT {columns} FROM fts_stage_table JOIN data USING({row_idx_column}) ORDER BY fts_stage_table.{hf_fts_score} DESC;" # nosec @@ -58,0 +59 @@ def full_text_search( + columns: list[str], @@ -69 +70,6 @@ def full_text_search( - pa_table = con.execute(query=JOIN_STAGE_AND_DATA_COMMAND).arrow() + join_stage_and_data_query = JOIN_STAGE_AND_DATA_COMMAND.format( + columns=",".join([f'"{column}"' for column in columns]), + row_idx_column=ROW_IDX_COLUMN, + hf_fts_score=HF_FTS_SCORE, + ) + pa_table = con.execute(query=join_stage_and_data_query).arrow() @@ -81,0 +88 @@ async def create_response( + unsupported_columns: list[str], @@ -87,4 +93,0 @@ async def create_response( - - _, unsupported_columns = get_supported_unsupported_columns( - features, - ) @@ -201 +204,6 @@ def create_search_endpoint( - + with StepProfiler(method="search_endpoint", step="get features"): + features = Features.from_dict(duckdb_index_cache_entry["content"]["features"]) + with StepProfiler(method="search_endpoint", step="get supported and unsupported columns"): + supported_columns, unsupported_columns = get_supported_unsupported_columns( + features, + ) @@ -206,0 +215 @@ def create_search_endpoint( + supported_columns, @@ -221,10 +229,0 @@ def create_search_endpoint( - # Features can be missing in old cache entries, - # but in this case it's ok to get them from the Arrow schema. - # Indded at one point we refreshed all the datasets that need the features - # to be cached (i.e. image and audio datasets). - if "features" in duckdb_index_cache_entry["content"] and isinstance( - duckdb_index_cache_entry["content"]["features"], dict - ): - features = Features.from_dict(duckdb_index_cache_entry["content"]["features"]) - else: - features = Features.from_arrow_schema(pa_table.schema) @@ -239 +238,2 @@ def create_search_endpoint( - features=features, + features=features or Features.from_arrow_schema(pa_table.schema), + unsupported_columns=unsupported_columns, diff --git a/services/search/tests/routes/test_search.py b/services/search/tests/routes/test_search.py index 2a10c12a..0350bd6c 100644 --- a/services/search/tests/routes/test_search.py +++ b/services/search/tests/routes/test_search.py @@ -82,0 +83 @@ def test_full_text_search( + features = ["__hf_index_id", "text"] @@ -97 +98 @@ def test_full_text_search( - (num_rows_total, pa_table) = full_text_search(index_file_location, query, offset, length) + (num_rows_total, pa_table) = full_text_search(index_file_location, features, query, offset, length) diff --git a/services/worker/src/worker/job_runners/split/descriptive_statistics.py b/services/worker/src/worker/job_runners/split/descriptive_statistics.py index e15fd863..c5747f58 100644 --- a/services/worker/src/worker/job_runners/split/descriptive_statistics.py +++ b/services/worker/src/worker/job_runners/split/descriptive_statistics.py @@ -3,2 +2,0 @@ -import enum -import io @@ -10,2 +7,0 @@ from typing import Any, Optional, TypedDict, Union -import librosa -import numpy as np @@ -13 +8,0 @@ import polars as pl -import pyarrow as pa @@ -25 +19,0 @@ from libcommon.exceptions import ( - StatisticsComputationError, @@ -29,0 +24 @@ from libcommon.parquet_utils import ( + is_list_pa_type, @@ -35,2 +29,0 @@ from libcommon.utils import download_file_from_hub -from PIL import Image -from tqdm.contrib.concurrent import thread_map @@ -40,0 +34,15 @@ from worker.job_runners.split.split_job_runner import SplitJobRunnerWithCache +from worker.statistics_utils import ( + FLOAT_DTYPES, + INTEGER_DTYPES, + NUMERICAL_DTYPES, + STRING_DTYPES, + AudioColumn, + BoolColumn, + ClassLabelColumn, + FloatColumn, + ImageColumn, + IntColumn, + ListColumn, + StatisticsPerColumnItem, + StringColumn, +) @@ -44,74 +51,0 @@ REPO_TYPE = "dataset" -DECIMALS = 5 -NUM_BINS = 10 - -# the maximum proportion of unique values in a string column so that it is considered to be a category, -# otherwise it's treated as a string -# for example, 21 unique values in 100 samples -> strings -# 200 unique values in 1000 samples -> category -# 201 unique values in 1000 samples -> string -MAX_PROPORTION_STRING_LABELS = 0.2 -# if there are more than MAX_NUM_STRING_LABELS unique strings, consider column to be a string -# even if proportion of unique values is lower than MAX_PROPORTION_STRING_LABELS -MAX_NUM_STRING_LABELS = 1000 - -# datasets.ClassLabel feature uses -1 to encode `no label` value -NO_LABEL_VALUE = -1 - - -INTEGER_DTYPES = ["int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64"] -FLOAT_DTYPES = ["float16", "float32", "float64"] -NUMERICAL_DTYPES = INTEGER_DTYPES + FLOAT_DTYPES -STRING_DTYPES = ["string", "large_string"] - - -class ColumnType(str, enum.Enum): - FLOAT = "float" - INT = "int" - BOOL = "bool" - LIST = "list" - CLASS_LABEL = "class_label" - STRING_LABEL = "string_label" - STRING_TEXT = "string_text" - AUDIO = "audio" - IMAGE = "image" - - -class Histogram(TypedDict): - hist: list[int] - bin_edges: list[Union[int, float]] - - -class NumericalStatisticsItem(TypedDict): - nan_count: int - nan_proportion: float - min: Optional[float] # might be None in very rare cases when the whole column is only None values - max: Optional[float] - mean: Optional[float] - median: Optional[float] - std: Optional[float] - histogram: Optional[Histogram] - - -class CategoricalStatisticsItem(TypedDict): - nan_count: int - nan_proportion: float - no_label_count: int - no_label_proportion: float - n_unique: int - frequencies: dict[str, int] - - -class BoolStatisticsItem(TypedDict): - nan_count: int - nan_proportion: float - frequencies: dict[str, int] - - -SupportedStatistics = Union[NumericalStatisticsItem, CategoricalStatisticsItem, BoolStatisticsItem] - - -class StatisticsPerColumnItem(TypedDict): - column_name: str - column_type: ColumnType - column_statistics: SupportedStatistics - @@ -125,565 +58,0 @@ class SplitDescriptiveStatisticsResponse(TypedDict): -def generate_bins( - min_value: Union[int, float], - max_value: Union[int, float], - column_type: ColumnType, - n_bins: int, - column_name: Optional[str] = None, -) -> list[Union[int, float]]: - """ - Compute bin edges for float and int. Note that for int data returned number of edges (= number of bins) - might be less than provided `n_bins` + 1 since (`max_value` - `min_value` + 1) might be not divisible by `n_bins`, - therefore, we adjust the number of bins so that bin_size is always a natural number. - bin_size for int data is calculated as np.ceil((max_value - min_value + 1) / n_bins) - For float numbers, length of returned bin edges list is always equal to `n_bins` except for the cases - when min = max (only one value observed in data). In this case, bin edges are [min, max]. - - Raises: - [~`libcommon.exceptions.StatisticsComputationError`]: - If there was some unexpected behaviour during statistics computation. - - Returns: - `list[Union[int, float]]`: List of bin edges of lengths <= n_bins + 1 and >= 2. - """ - if column_type is ColumnType.FLOAT: - if min_value == max_value: - bin_edges = [min_value] - else: - 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 for {column_name=}, 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 for {column_name=}, expected {n_bins}, got {len(bin_edges)}." - ) - else: - raise ValueError(f"Incorrect column type of {column_name=}: {column_type}. ") - return bin_edges + [max_value] - - -def compute_histogram( - df: pl.dataframe.frame.DataFrame, - column_name: str, - column_type: ColumnType, - min_value: Union[int, float], - max_value: Union[int, float], - n_bins: int, - n_samples: int, -) -> Histogram: - """ - Compute histogram over numerical (int and float) data using `polars`. - `polars` histogram implementation uses left half-open intervals in bins, while more standard approach - (implemented in `numpy`, for example) would be to use right half-open intervals - (except for the last bin, which is closed to include the maximum value). - In order to be aligned with this, this function first multiplies all values in column and bin edges by -1, - computes histogram with `polars` using these inverted numbers, and then reverses everything back. - """ - - logging.debug(f"Compute histogram for {column_name=}") - bin_edges = generate_bins( - min_value=min_value, max_value=max_value, column_name=column_name, column_type=column_type, n_bins=n_bins - ) - if len(bin_edges) == 2: # possible if min == max (=data has only one value) - if bin_edges[0] != bin_edges[1]: - raise StatisticsComputationError( - f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " - f" len({bin_edges=}) is 2 but {bin_edges[0]=} != {bin_edges[1]=}. " - ) - hist = [int(df[column_name].is_not_null().sum())] - elif len(bin_edges) > 2: - bins_edges_reverted = [-1 * b for b in bin_edges[::-1]] - hist_df_reverted = df.with_columns(pl.col(column_name).mul(-1).alias("reverse"))["reverse"].hist( - bins=bins_edges_reverted - ) - hist_reverted = hist_df_reverted["count"].cast(int).to_list() - hist = hist_reverted[::-1] - hist = [hist[0] + hist[1]] + hist[2:-2] + [hist[-2] + hist[-1]] - else: - raise StatisticsComputationError( - f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " - f" unexpected {bin_edges=}" - ) - logging.debug(f"{hist=} {bin_edges=}") - - if len(hist) != len(bin_edges) - 1: - raise StatisticsComputationError( - f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " - f" number of bins in hist counts and bin edges don't match {hist=}, {bin_edges=}" - ) - if sum(hist) != n_samples: - raise StatisticsComputationError( - f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " - f" hist counts sum and number of non-null samples don't match, histogram sum={sum(hist)}, {n_samples=}" - ) - - return Histogram( - hist=hist, bin_edges=np.round(bin_edges, DECIMALS).tolist() if column_type is column_type.FLOAT else bin_edges - ) - - -def min_max_mean_median_std(data: pl.DataFrame, column_name: str) -> tuple[float, float, float, float, float]: - """ - Compute minimum, maximum, median, standard deviation, number of nan samples and their proportion in column data. - """ - col_stats = dict( - min=pl.all().min(), - max=pl.all().max(), - mean=pl.all().mean(), - median=pl.all().median(), - std=pl.all().std(), - ) - stats_names = pl.Series(col_stats.keys()) - stats_expressions = [pl.struct(stat) for stat in col_stats.values()] - stats = ( - data.select(pl.col(column_name)) - .select(name=stats_names, stats=pl.concat_list(stats_expressions).flatten()) - .unnest("stats") - ) - minimum, maximum, mean, median, std = stats[column_name].to_list() - if any(statistic is None for statistic in [minimum, maximum, mean, median, std]): - # this should be possible only if all values are none - if not all(statistic is None for statistic in [minimum, maximum, mean, median, std]): - raise StatisticsComputationError( - f"Unexpected result for {column_name=}: " - f"Some measures among {minimum=}, {maximum=}, {mean=}, {median=}, {std=} are None but not all of them. " - ) - return minimum, maximum, mean, median, std - - minimum, maximum, mean, median, std = np.round([minimum, maximum, mean, median, std], DECIMALS).tolist() - - return minimum, maximum, mean, median, std - - -def value_counts(data: pl.DataFrame, column_name: str) -> dict[Any, Any]: - """Compute counts of distinct values in a column of a dataframe.""" - - return dict(data[column_name].value_counts().rows()) - - -def nan_count_proportion(data: pl.DataFrame, column_name: str, n_samples: int) -> tuple[int, float]: - nan_count = data[column_name].null_count() - nan_proportion = np.round(nan_count / n_samples, DECIMALS).item() if nan_count != 0 else 0.0 - return nan_count, nan_proportion - - -def all_nan_statistics_item(n_samples: int) -> NumericalStatisticsItem: - return NumericalStatisticsItem( - nan_count=n_samples, - nan_proportion=1.0, - min=None, - max=None, - mean=None, - median=None, - std=None, - histogram=None, - ) - - -class Column: - """Abstract class to compute stats for columns of all supported data types.""" - - # Optional column class that might be used inside ._compute_statistics() if computation should be performed - # over some transformed values. For example, for StringColumn.transform_column is IntColumn - # because stats are calculated over string lengths which are integers. - transform_column: Optional[type["Column"]] = None - - def __init__( - self, - feature_name: str, - n_samples: int, - ): - self.name = feature_name - self.n_samples = n_samples - - @classmethod - def _compute_statistics( - cls, - args: Any, - kwargs: Any, - ) -> SupportedStatistics: - raise NotImplementedError - - @classmethod - def compute_statistics( - cls, - args: Any, - column_name: str, - *kwargs: Any, - ) -> Any: - try: - logging.info(f"Compute statistics for {cls.__name__} {column_name}. ") - return cls._compute_statistics(args, column_name=column_name, *kwargs) - except Exception as error: - raise StatisticsComputationError(f"Error for {cls.__name__}={column_name}: {error=}", error) - - def compute_and_prepare_response(self, args: Any, *kwargs: Any) -> StatisticsPerColumnItem: - raise NotImplementedError - - -class ClassLabelColumn(Column): - def __init__(self, args: Any, feature_dict: dict[str, Any], *kwargs: Any): - super().__init__(args, *kwargs) - self.feature_dict = feature_dict - - @classmethod - def _compute_statistics( - cls, data: pl.DataFrame, column_name: str, n_samples: int, feature_dict: dict[str, Any] - ) -> CategoricalStatisticsItem: - datasets_feature = Features.from_dict({column_name: feature_dict})[column_name] - nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) - - ids2counts: dict[int, int] = value_counts(data, column_name) - no_label_count = ids2counts.pop(NO_LABEL_VALUE, 0) - no_label_proportion = np.round(no_label_count / n_samples, DECIMALS).item() if no_label_count != 0 else 0.0 - - num_classes = len(datasets_feature.names) - labels2counts: dict[str, int] = { - datasets_feature.int2str(cat_id): ids2counts.get(cat_id, 0) for cat_id in range(num_classes) - } - n_unique = data[column_name].n_unique() - logging.debug( - f"{nan_count=} {nan_proportion=} {no_label_count=} {no_label_proportion=}, {n_unique=} {labels2counts=}" - ) - - if n_unique > num_classes + int(no_label_count > 0) + int(nan_count > 0): - raise StatisticsComputationError( - f"Got unexpected result for ClassLabel {column_name=}: " - f" number of unique values is greater than provided by feature metadata. " - f" {n_unique=}, {datasets_feature=}, {no_label_count=}, {nan_count=}. " - ) - - return CategoricalStatisticsItem( - nan_count=nan_count, - nan_proportion=nan_proportion, - no_label_count=no_label_count, - no_label_proportion=no_label_proportion, - n_unique=num_classes, - frequencies=labels2counts, - ) - - def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: - stats = self.compute_statistics( - data, column_name=self.name, n_samples=self.n_samples, feature_dict=self.feature_dict - ) - return StatisticsPerColumnItem( - column_name=self.name, - column_type=ColumnType.CLASS_LABEL, - column_statistics=stats, - ) - - -class FloatColumn(Column): - @classmethod - def _compute_statistics( - cls, - data: pl.DataFrame, - column_name: str, - n_samples: int, - ) -> NumericalStatisticsItem: - nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) - if nan_count == n_samples: # all values are None - return all_nan_statistics_item(n_samples) - - minimum, maximum, mean, median, std = min_max_mean_median_std(data, column_name) - logging.debug(f"{minimum=}, {maximum=}, {mean=}, {median=}, {std=}, {nan_count=} {nan_proportion=}") - - hist = compute_histogram( - data, - column_name=column_name, - column_type=ColumnType.FLOAT, - min_value=minimum, - max_value=maximum, - n_bins=NUM_BINS, - n_samples=n_samples - nan_count, - ) - - return NumericalStatisticsItem( - nan_count=nan_count, - nan_proportion=nan_proportion, - min=minimum, - max=maximum, - mean=mean, - median=median, - std=std, - histogram=hist, - ) - - def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: - stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) - return StatisticsPerColumnItem( - column_name=self.name, - column_type=ColumnType.FLOAT, - column_statistics=stats, - ) - - -class IntColumn(Column): - @classmethod - def _compute_statistics( - cls, - data: pl.DataFrame, - column_name: str, - n_samples: int, - ) -> NumericalStatisticsItem: - nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples=n_samples) - if nan_count == n_samples: - return all_nan_statistics_item(n_samples) - - minimum, maximum, mean, median, std = min_max_mean_median_std(data, column_name) - logging.debug(f"{minimum=}, {maximum=}, {mean=}, {median=}, {std=}, {nan_count=} {nan_proportion=}") - - minimum, maximum = int(minimum), int(maximum) - hist = compute_histogram( - data, - column_name=column_name, - column_type=ColumnType.INT, - min_value=minimum, - max_value=maximum, - n_bins=NUM_BINS, - n_samples=n_samples - nan_count, - ) - - return NumericalStatisticsItem( - nan_count=nan_count, - nan_proportion=nan_proportion, - min=minimum, - max=maximum, - mean=mean, - median=median, - std=std, - histogram=hist, - ) - - def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: - stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) - return StatisticsPerColumnItem( - column_name=self.name, - column_type=ColumnType.INT, - column_statistics=stats, - ) - - -class StringColumn(Column): - transform_column = IntColumn - - @classmethod - def _compute_statistics( - cls, - data: pl.DataFrame, - column_name: str, - n_samples: int, - ) -> Union[CategoricalStatisticsItem, NumericalStatisticsItem]: - nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) - n_unique = data[column_name].n_unique() - if ( - n_unique / n_samples <= MAX_PROPORTION_STRING_LABELS and n_unique <= MAX_NUM_STRING_LABELS - ) or n_unique <= NUM_BINS: - labels2counts: dict[str, int] = value_counts(data, column_name) if nan_count != n_samples else {} - logging.debug(f"{n_unique=} {nan_count=} {nan_proportion=} {labels2counts=}") - # exclude counts of None values from frequencies if exist: - labels2counts.pop(None, None) # type: ignore - return CategoricalStatisticsItem( - nan_count=nan_count, - nan_proportion=nan_proportion, - no_label_count=0, - no_label_proportion=0.0, - n_unique=len(labels2counts), - frequencies=labels2counts, - ) - - lengths_column_name = f"{column_name}_len" - lengths_df = data.select(pl.col(column_name)).with_columns( - pl.col(column_name).str.len_chars().alias(lengths_column_name) - ) - lengths_stats: NumericalStatisticsItem = cls.transform_column.compute_statistics( - lengths_df, column_name=lengths_column_name, n_samples=n_samples - ) - return lengths_stats - - def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: - stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) - string_type = ColumnType.STRING_LABEL if "frequencies" in stats else ColumnType.STRING_TEXT - return StatisticsPerColumnItem( - column_name=self.name, - column_type=string_type, - column_statistics=stats, - ) - - -class BoolColumn(Column): - @classmethod - def _compute_statistics(cls, data: pl.DataFrame, column_name: str, n_samples: int) -> BoolStatisticsItem: - nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) - values2counts: dict[str, int] = value_counts(data, column_name) - # exclude counts of None values from frequencies if exist: - values2counts.pop(None, None) # type: ignore - logging.debug(f"{nan_count=} {nan_proportion=} {values2counts=}") - return BoolStatisticsItem( - nan_count=nan_count, - nan_proportion=nan_proportion, - frequencies={str(key): freq for key, freq in sorted(values2counts.items())}, - ) - - def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: - stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) - return StatisticsPerColumnItem( - column_name=self.name, - column_type=ColumnType.BOOL, - column_statistics=stats, - ) - - -class ListColumn(Column): - transform_column = IntColumn - - @classmethod - def _compute_statistics( - cls, - data: pl.DataFrame, - column_name: str, - n_samples: int, - ) -> NumericalStatisticsItem: - nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) - if nan_count == n_samples: - return all_nan_statistics_item(n_samples) - - df_without_na = data.select(pl.col(column_name)).drop_nulls() - lengths_column_name = f"{column_name}_len" - lengths_df = df_without_na.with_columns(pl.col(column_name).list.len().alias(lengths_column_name)) - lengths_stats: NumericalStatisticsItem = cls.transform_column.compute_statistics( - lengths_df, column_name=lengths_column_name, n_samples=n_samples - nan_count - ) - - return NumericalStatisticsItem( - nan_count=nan_count, - nan_proportion=nan_proportion, - min=lengths_stats["min"], - max=lengths_stats["max"], - mean=lengths_stats["mean"], - median=lengths_stats["median"], - std=lengths_stats["std"], - histogram=lengths_stats["histogram"], - ) - - def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: - stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) - return StatisticsPerColumnItem( - column_name=self.name, - column_type=ColumnType.LIST, - column_statistics=stats, - ) - - -class MediaColumn(Column): - transform_column: type[Column] - - @classmethod - def transform(cls, example: Optional[Union[bytes, dict[str, Any]]]) -> Any: - """ - Function to use to transform the original values to further pass these transformed values to statistics - computation. Used inside ._compute_statistics() method. - """ - raise NotImplementedError - - @classmethod - def _compute_statistics( - cls, - parquet_directory: Path, - column_name: str, - n_samples: int, - ) -> SupportedStatistics: - parquet_files = list(parquet_directory.glob(".parquet")) - transformed_values = [] - for filename in parquet_files: - shard_items = pq.read_table(filename, columns=[column_name]).drop_null().to_pydict()[column_name] - shard_transformed_values = ( - thread_map( - cls.transform, - shard_items, - desc=f"Transforming values of {cls.__name__} {column_name} for {filename.name}", - leave=False, - ) - if shard_items - else [] - ) - transformed_values.extend(shard_transformed_values) - - if not transformed_values: - return all_nan_statistics_item(n_samples) - - nan_count = n_samples - len(transformed_values) - nan_proportion = np.round(nan_count / n_samples, DECIMALS).item() if nan_count != 0 else 0.0 - transformed_df = pl.from_dict({column_name: transformed_values}) - transformed_stats: NumericalStatisticsItem = cls.transform_column.compute_statistics( - data=transformed_df, - column_name=column_name, - n_samples=len(transformed_values), - ) - return NumericalStatisticsItem( - nan_count=nan_count, - nan_proportion=nan_proportion, - min=transformed_stats["min"], - max=transformed_stats["max"], - mean=transformed_stats["mean"], - median=transformed_stats["median"], - std=transformed_stats["std"], - histogram=transformed_stats["histogram"], - ) - - @classmethod - def get_column_type(cls) -> ColumnType: - return ColumnType(cls.__name__.split("Column")[0].lower()) - - def compute_and_prepare_response(self, parquet_directory: Path) -> StatisticsPerColumnItem: - stats = self.compute_statistics( - parquet_directory=parquet_directory, - column_name=self.name, - n_samples=self.n_samples, - ) - return StatisticsPerColumnItem( - column_name=self.name, - column_type=self.get_column_type(), - column_statistics=stats, - ) - - -class AudioColumn(MediaColumn): - transform_column = FloatColumn - - @staticmethod - def get_duration(example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[float]: - """Get audio durations""" - if example is None: - return None - example_bytes = example["bytes"] if isinstance(example, dict) else example - with io.BytesIO(example_bytes) as f: - return librosa.get_duration(path=f) # type: ignore # expects PathLike but BytesIO also works - - @classmethod - def transform(cls, example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[float]: - return cls.get_duration(example) - - -class ImageColumn(MediaColumn): - transform_column = IntColumn - - @staticmethod - def get_width(example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[int]: - """Get image widths.""" - if example is None: - return None - example_bytes = example["bytes"] if isinstance(example, dict) else example - with io.BytesIO(example_bytes) as f: - image = Image.open(f) - return image.size[0] - - @classmethod - def transform(cls, example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[int]: - return cls.get_width(example) - - @@ -695 +64 @@ SupportedColumns = Union[ -def is_extension(feature: FeatureType) -> bool: +def is_extension_feature(feature: FeatureType) -> bool: @@ -698 +67 @@ def is_extension(feature: FeatureType) -> bool: - return any(is_extension(f) for f in feature.values()) + return any(is_extension_feature(f) for f in feature.values()) @@ -700 +69 @@ def is_extension(feature: FeatureType) -> bool: - return any(is_extension(f) for f in feature) + return any(is_extension_feature(f) for f in feature) @@ -702 +71 @@ def is_extension(feature: FeatureType) -> bool: - return is_extension(feature.feature) + return is_extension_feature(feature.feature) @@ -710 +79 @@ def get_extension_features(features: dict[str, Any]) -> set[str]: - return {feature_name for feature_name, feature in features.items() if is_extension(feature)} + return {feature_name for feature_name, feature in features.items() if is_extension_feature(feature)} @@ -841,2 +209,0 @@ def compute_descriptive_statistics_response( - first_parquet_file = local_parquet_split_directory / split_parquet_files[0]["filename"] - feature_arrow_type = pq.read_schema(first_parquet_file).field(dataset_feature_name).type @@ -845 +212,3 @@ def compute_descriptive_statistics_response( - if pa.types.is_list(feature_arrow_type) or pa.types.is_large_list(feature_arrow_type): + if is_list_pa_type( + local_parquet_split_directory / split_parquet_files[0]["filename"], dataset_feature_name + ): 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 a06ef4fc..1970b609 100644 --- a/services/worker/src/worker/job_runners/split/duckdb_index.py +++ b/services/worker/src/worker/job_runners/split/duckdb_index.py @@ -8 +8 @@ from pathlib import Path -from typing import Optional +from typing import Any, Literal, Optional @@ -10,0 +11 @@ import duckdb +import polars as pl @@ -32,0 +34 @@ from libcommon.parquet_utils import ( + is_list_pa_type, @@ -42,0 +45,7 @@ from worker.job_runners.split.split_job_runner import SplitJobRunnerWithCache +from worker.statistics_utils import ( + STRING_DTYPES, + AudioColumn, + ImageColumn, + ListColumn, + StringColumn, +) @@ -54,0 +64,5 @@ CREATE_TABLE_COMMAND = "CREATE OR REPLACE TABLE data AS SELECT {columns} FROM '{ +CREATE_TABLE_JOIN_WITH_TRANSFORMED_DATA_COMMAND = """ + CREATE OR REPLACE TABLE data AS + SELECT {columns}, transformed_df.* FROM '{source}' + POSITIONAL JOIN transformed_df; +""" @@ -59 +73 @@ ALTER_TABLE_BY_ADDING_SEQUENCE_COLUMN = ( -CREATE_TABLE_COMMANDS = CREATE_TABLE_COMMAND + CREATE_SEQUENCE_COMMAND + ALTER_TABLE_BY_ADDING_SEQUENCE_COLUMN +CREATE_INDEX_ID_COLUMN_COMMANDS = CREATE_SEQUENCE_COMMAND + ALTER_TABLE_BY_ADDING_SEQUENCE_COLUMN @@ -63,0 +78,2 @@ REPO_TYPE = "dataset" +LengthDtype = Literal["string", "list"] + @@ -72 +88 @@ def get_indexable_columns(features: Features) -> list[str]: - if isinstance(feature, Value) and feature.dtype in ("string", "large_string"): + if isinstance(feature, Value) and feature.dtype in STRING_DTYPES: @@ -82,0 +99,70 @@ def get_indexable_columns(features: Features) -> list[str]: +def compute_length_column( + parquet_directory: Path, + column_name: str, + target_df: Optional[pl.DataFrame], + dtype: LengthDtype, +) -> pl.DataFrame: + column_class = ListColumn if dtype == "list" else StringColumn + df = pl.read_parquet(str(parquet_directory / ".parquet"), columns=[column_name]) + lengths_column_name = f"{column_name}.length" + lengths_df: pl.DataFrame = column_class.compute_transformed_data( + df, column_name, transformed_column_name=lengths_column_name + ) + if target_df is None: + return lengths_df.select(pl.col(lengths_column_name)) + + target_df.insert_column(target_df.shape[1], lengths_df[lengths_column_name]) + return target_df + + +def compute_audio_duration_column( + parquet_directory: Path, + column_name: str, + target_df: Optional[pl.DataFrame], +) -> pl.DataFrame: + duration_column_name = f"{column_name}.duration" + durations = AudioColumn.compute_transformed_data(parquet_directory, column_name, AudioColumn.get_duration) + duration_df = pl.from_dict({duration_column_name: durations}) + if target_df is None: + return duration_df + target_df.insert_column(target_df.shape[1], duration_df[duration_column_name]) + return target_df + + +def compute_image_width_height_column( + parquet_directory: Path, + column_name: str, + target_df: Optional[pl.DataFrame], +) -> pl.DataFrame: + shapes = ImageColumn.compute_transformed_data(parquet_directory, column_name, ImageColumn.get_shape) + widths, heights = list(zip(shapes)) + width_column_name, height_column_name = f"{column_name}.width", f"{column_name}.height" + shapes_df = pl.from_dict({width_column_name: widths, height_column_name: heights}) + if target_df is None: + return shapes_df + target_df.insert_column(target_df.shape[1], shapes_df[width_column_name]) + target_df.insert_column(target_df.shape[1], shapes_df[height_column_name]) + return target_df + + +def compute_transformed_data(parquet_directory: Path, features: dict[str, Any]) -> Optional[pl.DataFrame]: + transformed_df = None + for feature_name, feature in features.items(): + if isinstance(feature, list) or (isinstance(feature, dict) and feature.get("_type") == "Sequence"): + first_parquet_file = list(parquet_directory.glob(".parquet"))[0] + if is_list_pa_type(first_parquet_file, feature_name): + transformed_df = compute_length_column(parquet_directory, feature_name, transformed_df, dtype="list") + + elif isinstance(feature, dict): + if feature.get("_type") == "Value" and feature.get("dtype") in STRING_DTYPES: + transformed_df = compute_length_column(parquet_directory, feature_name, transformed_df, dtype="string") + + elif feature.get("_type") == "Audio": + transformed_df = compute_audio_duration_column(parquet_directory, feature_name, transformed_df) + + elif feature.get("_type") == "Image": + transformed_df = compute_image_width_height_column(parquet_directory, feature_name, transformed_df) + + return transformed_df + + @@ -189,2 +275,4 @@ def compute_split_duckdb_index_response( - all_split_parquets = f"{duckdb_index_file_directory}/{config}/{split_directory}/.parquet" - create_command_sql = CREATE_TABLE_COMMANDS.format(columns=column_names, source=all_split_parquets) + split_parquet_directory = duckdb_index_file_directory / config / split_directory + all_split_parquets = str(split_parquet_directory / ".parquet") + + transformed_df = compute_transformed_data(split_parquet_directory, features) @@ -196,0 +285,11 @@ def compute_split_duckdb_index_response( + if transformed_df is not None: + logging.debug(transformed_df.head()) + # update original data with results of transformations (string lengths, audio durations, etc.): + logging.info(f"Updating data with {transformed_df.columns}") + create_command_sql = CREATE_TABLE_JOIN_WITH_TRANSFORMED_DATA_COMMAND.format( + columns=column_names, source=all_split_parquets + ) + + else: + create_command_sql = CREATE_TABLE_COMMAND.format(columns=column_names, source=all_split_parquets) + @@ -198,0 +298,3 @@ def compute_split_duckdb_index_response( + con.sql(CREATE_INDEX_ID_COLUMN_COMMANDS) + logging.debug(con.sql("SELECT FROM data LIMIT 5;")) + logging.debug(con.sql("SELECT count() FROM data;")) @@ -209,0 +312 @@ def compute_split_duckdb_index_response( + diff --git a/services/worker/src/worker/statistics_utils.py b/services/worker/src/worker/statistics_utils.py new file mode 100644 index 00000000..eb2cc146 --- /dev/null +++ b/services/worker/src/worker/statistics_utils.py @@ -0,0 +1,703 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. +import enum +import io +import logging +from pathlib import Path +from typing import Any, Callable, Optional, TypedDict, Union + +import librosa +import numpy as np +import polars as pl +import pyarrow.parquet as pq +from datasets import Features +from libcommon.exceptions import ( + StatisticsComputationError, +) +from PIL import Image +from tqdm.contrib.concurrent import thread_map + +DECIMALS = 5 +NUM_BINS = 10 + +# the maximum proportion of unique values in a string column so that it is considered to be a category, +# otherwise it's treated as a string +# for example, 21 unique values in 100 samples -> strings +# 200 unique values in 1000 samples -> category +# 201 unique values in 1000 samples -> string +MAX_PROPORTION_STRING_LABELS = 0.2 +# if there are more than MAX_NUM_STRING_LABELS unique strings, consider column to be a string +# even if proportion of unique values is lower than MAX_PROPORTION_STRING_LABELS +MAX_NUM_STRING_LABELS = 1000 + +# datasets.ClassLabel feature uses -1 to encode `no label` value +NO_LABEL_VALUE = -1 + + +INTEGER_DTYPES = ["int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64"] +FLOAT_DTYPES = ["float16", "float32", "float64"] +NUMERICAL_DTYPES = INTEGER_DTYPES + FLOAT_DTYPES +STRING_DTYPES = ["string", "large_string"] + + +class ColumnType(str, enum.Enum): + FLOAT = "float" + INT = "int" + BOOL = "bool" + LIST = "list" + CLASS_LABEL = "class_label" + STRING_LABEL = "string_label" + STRING_TEXT = "string_text" + AUDIO = "audio" + IMAGE = "image" + + +class Histogram(TypedDict): + hist: list[int] + bin_edges: list[Union[int, float]] + + +class NumericalStatisticsItem(TypedDict): + nan_count: int + nan_proportion: float + min: Optional[float] # might be None in very rare cases when the whole column is only None values + max: Optional[float] + mean: Optional[float] + median: Optional[float] + std: Optional[float] + histogram: Optional[Histogram] + + +class CategoricalStatisticsItem(TypedDict): + nan_count: int + nan_proportion: float + no_label_count: int + no_label_proportion: float + n_unique: int + frequencies: dict[str, int] + + +class BoolStatisticsItem(TypedDict): + nan_count: int + nan_proportion: float + frequencies: dict[str, int] + + +SupportedStatistics = Union[NumericalStatisticsItem, CategoricalStatisticsItem, BoolStatisticsItem] + + +class StatisticsPerColumnItem(TypedDict): + column_name: str + column_type: ColumnType + column_statistics: SupportedStatistics + + +def generate_bins( + min_value: Union[int, float], + max_value: Union[int, float], + column_type: ColumnType, + n_bins: int, + column_name: Optional[str] = None, +) -> list[Union[int, float]]: + """ + Compute bin edges for float and int. Note that for int data returned number of edges (= number of bins) + might be less* than provided `n_bins` + 1 since (`max_value` - `min_value` + 1) might be not divisible by `n_bins`, + therefore, we adjust the number of bins so that bin_size is always a natural number. + bin_size for int data is calculated as np.ceil((max_value - min_value + 1) / n_bins) + For float numbers, length of returned bin edges list is always equal to `n_bins` except for the cases + when min = max (only one value observed in data). In this case, bin edges are [min, max]. + + Raises: + [~`libcommon.exceptions.StatisticsComputationError`]: + If there was some unexpected behaviour during statistics computation. + + Returns: + `list[Union[int, float]]`: List of bin edges of lengths <= n_bins + 1 and >= 2. + """ + if column_type is ColumnType.FLOAT: + if min_value == max_value: + bin_edges = [min_value] + else: + 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 for {column_name=}, 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 for {column_name=}, expected {n_bins}, got {len(bin_edges)}." + ) + else: + raise ValueError(f"Incorrect column type of {column_name=}: {column_type}. ") + return bin_edges + [max_value] + + +def compute_histogram( + df: pl.dataframe.frame.DataFrame, + column_name: str, + column_type: ColumnType, + min_value: Union[int, float], + max_value: Union[int, float], + n_bins: int, + n_samples: int, +) -> Histogram: + """ + Compute histogram over numerical (int and float) data using `polars`. + `polars` histogram implementation uses left half-open intervals in bins, while more standard approach + (implemented in `numpy`, for example) would be to use right half-open intervals + (except for the last bin, which is closed to include the maximum value). + In order to be aligned with this, this function first multiplies all values in column and bin edges by -1, + computes histogram with `polars` using these inverted numbers, and then reverses everything back. + """ + + logging.debug(f"Compute histogram for {column_name=}") + bin_edges = generate_bins( + min_value=min_value, max_value=max_value, column_name=column_name, column_type=column_type, n_bins=n_bins + ) + if len(bin_edges) == 2: # possible if min == max (=data has only one value) + if bin_edges[0] != bin_edges[1]: + raise StatisticsComputationError( + f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " + f" len({bin_edges=}) is 2 but {bin_edges[0]=} != {bin_edges[1]=}. " + ) + hist = [int(df[column_name].is_not_null().sum())] + elif len(bin_edges) > 2: + bins_edges_reverted = [-1 * b for b in bin_edges[::-1]] + hist_df_reverted = df.with_columns(pl.col(column_name).mul(-1).alias("reverse"))["reverse"].hist( + bins=bins_edges_reverted + ) + hist_reverted = hist_df_reverted["count"].cast(int).to_list() + hist = hist_reverted[::-1] + hist = [hist[0] + hist[1]] + hist[2:-2] + [hist[-2] + hist[-1]] + else: + raise StatisticsComputationError( + f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " + f" unexpected {bin_edges=}" + ) + logging.debug(f"{hist=} {bin_edges=}") + + if len(hist) != len(bin_edges) - 1: + raise StatisticsComputationError( + f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " + f" number of bins in hist counts and bin edges don't match {hist=}, {bin_edges=}" + ) + if sum(hist) != n_samples: + raise StatisticsComputationError( + f"Got unexpected result during histogram computation for {column_name=}, {column_type=}: " + f" hist counts sum and number of non-null samples don't match, histogram sum={sum(hist)}, {n_samples=}" + ) + + return Histogram( + hist=hist, bin_edges=np.round(bin_edges, DECIMALS).tolist() if column_type is column_type.FLOAT else bin_edges + ) + + +def min_max_mean_median_std(data: pl.DataFrame, column_name: str) -> tuple[float, float, float, float, float]: + """ + Compute minimum, maximum, median, standard deviation, number of nan samples and their proportion in column data. + """ + col_stats = dict( + min=pl.all().min(), + max=pl.all().max(), + mean=pl.all().mean(), + median=pl.all().median(), + std=pl.all().std(), + ) + stats_names = pl.Series(col_stats.keys()) + stats_expressions = [pl.struct(stat) for stat in col_stats.values()] + stats = ( + data.select(pl.col(column_name)) + .select(name=stats_names, stats=pl.concat_list(stats_expressions).flatten()) + .unnest("stats") + ) + minimum, maximum, mean, median, std = stats[column_name].to_list() + if any(statistic is None for statistic in [minimum, maximum, mean, median, std]): + # this should be possible only if all values are none + if not all(statistic is None for statistic in [minimum, maximum, mean, median, std]): + raise StatisticsComputationError( + f"Unexpected result for {column_name=}: " + f"Some measures among {minimum=}, {maximum=}, {mean=}, {median=}, {std=} are None but not all of them. " + ) + return minimum, maximum, mean, median, std + + minimum, maximum, mean, median, std = np.round([minimum, maximum, mean, median, std], DECIMALS).tolist() + + return minimum, maximum, mean, median, std + + +def value_counts(data: pl.DataFrame, column_name: str) -> dict[Any, Any]: + """Compute counts of distinct values in a column of a dataframe.""" + + return dict(data[column_name].value_counts().rows()) + + +def nan_count_proportion(data: pl.DataFrame, column_name: str, n_samples: int) -> tuple[int, float]: + nan_count = data[column_name].null_count() + nan_proportion = np.round(nan_count / n_samples, DECIMALS).item() if nan_count != 0 else 0.0 + return nan_count, nan_proportion + + +def all_nan_statistics_item(n_samples: int) -> NumericalStatisticsItem: + return NumericalStatisticsItem( + nan_count=n_samples, + nan_proportion=1.0, + min=None, + max=None, + mean=None, + median=None, + std=None, + histogram=None, + ) + + +class Column: + """Abstract class to compute stats for columns of all supported data types.""" + + # Optional column class that might be used inside ._compute_statistics() if computation should be performed + # over some transformed values. For example, for StringColumn.transform_column is IntColumn + # because stats are calculated over string lengths which are integers. + transform_column: Optional[type["Column"]] = None + + def __init__( + self, + feature_name: str, + n_samples: int, + ): + self.name = feature_name + self.n_samples = n_samples + + @classmethod + def compute_transformed_data( + cls, + args: Any, + kwargs: Any, + ) -> Any: + raise NotImplementedError + + @classmethod + def _compute_statistics( + cls, + args: Any, + *kwargs: Any, + ) -> SupportedStatistics: + raise NotImplementedError + + @classmethod + def compute_statistics( + cls, + args: Any, + column_name: str, + *kwargs: Any, + ) -> Any: + try: + logging.info(f"Compute statistics for {cls.__name__} {column_name}. ") + return cls._compute_statistics(args, column_name=column_name, *kwargs) + except Exception as error: + raise StatisticsComputationError(f"Error for {cls.__name__}={column_name}: {error=}", error) + + def compute_and_prepare_response(self, args: Any, *kwargs: Any) -> StatisticsPerColumnItem: + raise NotImplementedError + + +class ClassLabelColumn(Column): + def __init__(self, args: Any, feature_dict: dict[str, Any], *kwargs: Any): + super().__init__(args, *kwargs) + self.feature_dict = feature_dict + + @classmethod + def _compute_statistics( + cls, data: pl.DataFrame, column_name: str, n_samples: int, feature_dict: dict[str, Any] + ) -> CategoricalStatisticsItem: + datasets_feature = Features.from_dict({column_name: feature_dict})[column_name] + nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) + + ids2counts: dict[int, int] = value_counts(data, column_name) + no_label_count = ids2counts.pop(NO_LABEL_VALUE, 0) + no_label_proportion = np.round(no_label_count / n_samples, DECIMALS).item() if no_label_count != 0 else 0.0 + + num_classes = len(datasets_feature.names) + labels2counts: dict[str, int] = { + datasets_feature.int2str(cat_id): ids2counts.get(cat_id, 0) for cat_id in range(num_classes) + } + n_unique = data[column_name].n_unique() + logging.debug( + f"{nan_count=} {nan_proportion=} {no_label_count=} {no_label_proportion=}, {n_unique=} {labels2counts=}" + ) + + if n_unique > num_classes + int(no_label_count > 0) + int(nan_count > 0): + raise StatisticsComputationError( + f"Got unexpected result for ClassLabel {column_name=}: " + f" number of unique values is greater than provided by feature metadata. " + f" {n_unique=}, {datasets_feature=}, {no_label_count=}, {nan_count=}. " + ) + + return CategoricalStatisticsItem( + nan_count=nan_count, + nan_proportion=nan_proportion, + no_label_count=no_label_count, + no_label_proportion=no_label_proportion, + n_unique=num_classes, + frequencies=labels2counts, + ) + + def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: + stats = self.compute_statistics( + data, column_name=self.name, n_samples=self.n_samples, feature_dict=self.feature_dict + ) + return StatisticsPerColumnItem( + column_name=self.name, + column_type=ColumnType.CLASS_LABEL, + column_statistics=stats, + ) + + +class FloatColumn(Column): + @classmethod + def _compute_statistics( + cls, + data: pl.DataFrame, + column_name: str, + n_samples: int, + ) -> NumericalStatisticsItem: + nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) + if nan_count == n_samples: # all values are None + return all_nan_statistics_item(n_samples) + + minimum, maximum, mean, median, std = min_max_mean_median_std(data, column_name) + logging.debug(f"{minimum=}, {maximum=}, {mean=}, {median=}, {std=}, {nan_count=} {nan_proportion=}") + + hist = compute_histogram( + data, + column_name=column_name, + column_type=ColumnType.FLOAT, + min_value=minimum, + max_value=maximum, + n_bins=NUM_BINS, + n_samples=n_samples - nan_count, + ) + + return NumericalStatisticsItem( + nan_count=nan_count, + nan_proportion=nan_proportion, + min=minimum, + max=maximum, + mean=mean, + median=median, + std=std, + histogram=hist, + ) + + def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: + stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) + return StatisticsPerColumnItem( + column_name=self.name, + column_type=ColumnType.FLOAT, + column_statistics=stats, + ) + + +class IntColumn(Column): + @classmethod + def _compute_statistics( + cls, + data: pl.DataFrame, + column_name: str, + n_samples: int, + ) -> NumericalStatisticsItem: + nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples=n_samples) + if nan_count == n_samples: + return all_nan_statistics_item(n_samples) + + minimum, maximum, mean, median, std = min_max_mean_median_std(data, column_name) + logging.debug(f"{minimum=}, {maximum=}, {mean=}, {median=}, {std=}, {nan_count=} {nan_proportion=}") + + minimum, maximum = int(minimum), int(maximum) + hist = compute_histogram( + data, + column_name=column_name, + column_type=ColumnType.INT, + min_value=minimum, + max_value=maximum, + n_bins=NUM_BINS, + n_samples=n_samples - nan_count, + ) + + return NumericalStatisticsItem( + nan_count=nan_count, + nan_proportion=nan_proportion, + min=minimum, + max=maximum, + mean=mean, + median=median, + std=std, + histogram=hist, + ) + + def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: + stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) + return StatisticsPerColumnItem( + column_name=self.name, + column_type=ColumnType.INT, + column_statistics=stats, + ) + + +class StringColumn(Column): + transform_column = IntColumn + + @staticmethod + def is_class(n_unique: int, n_samples: int) -> bool: + return ( + n_unique / n_samples <= MAX_PROPORTION_STRING_LABELS and n_unique <= MAX_NUM_STRING_LABELS + ) or n_unique <= NUM_BINS + + @classmethod + def compute_transformed_data( + cls, + data: pl.DataFrame, + column_name: str, + transformed_column_name: str, + ) -> pl.DataFrame: + return data.select(pl.col(column_name)).with_columns( + pl.col(column_name).str.len_chars().alias(transformed_column_name) + ) + + @classmethod + def _compute_statistics( + cls, + data: pl.DataFrame, + column_name: str, + n_samples: int, + ) -> Union[CategoricalStatisticsItem, NumericalStatisticsItem]: + nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) + n_unique = data[column_name].n_unique() + if cls.is_class(n_unique, n_samples): + labels2counts: dict[str, int] = value_counts(data, column_name) if nan_count != n_samples else {} + logging.debug(f"{n_unique=} {nan_count=} {nan_proportion=} {labels2counts=}") + # exclude counts of None values from frequencies if exist: + labels2counts.pop(None, None) # type: ignore + return CategoricalStatisticsItem( + nan_count=nan_count, + nan_proportion=nan_proportion, + no_label_count=0, + no_label_proportion=0.0, + n_unique=len(labels2counts), + frequencies=labels2counts, + ) + + lengths_column_name = f"{column_name}_len" + lengths_df = cls.compute_transformed_data(data, column_name, transformed_column_name=lengths_column_name) + lengths_stats: NumericalStatisticsItem = cls.transform_column.compute_statistics( + lengths_df, column_name=lengths_column_name, n_samples=n_samples + ) + return lengths_stats + + def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: + stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) + string_type = ColumnType.STRING_LABEL if "frequencies" in stats else ColumnType.STRING_TEXT + return StatisticsPerColumnItem( + column_name=self.name, + column_type=string_type, + column_statistics=stats, + ) + + +class BoolColumn(Column): + @classmethod + def _compute_statistics(cls, data: pl.DataFrame, column_name: str, n_samples: int) -> BoolStatisticsItem: + nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) + values2counts: dict[str, int] = value_counts(data, column_name) + # exclude counts of None values from frequencies if exist: + values2counts.pop(None, None) # type: ignore + logging.debug(f"{nan_count=} {nan_proportion=} {values2counts=}") + return BoolStatisticsItem( + nan_count=nan_count, + nan_proportion=nan_proportion, + frequencies={str(key): freq for key, freq in sorted(values2counts.items())}, + ) + + def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: + stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) + return StatisticsPerColumnItem( + column_name=self.name, + column_type=ColumnType.BOOL, + column_statistics=stats, + ) + + +class ListColumn(Column): + transform_column = IntColumn + + @classmethod + def compute_transformed_data( + cls, + data: pl.DataFrame, + column_name: str, + transformed_column_name: str, + ) -> pl.DataFrame: + return data.select( + pl.col(column_name), + pl.when(pl.col(column_name).is_not_null()) + .then(pl.col(column_name).list.len()) + .otherwise(pl.lit(None)) # polars counts len(null) in list type column as 0, while we want to keep null + .alias(transformed_column_name), + ) + + @classmethod + def _compute_statistics( + cls, + data: pl.DataFrame, + column_name: str, + n_samples: int, + ) -> NumericalStatisticsItem: + nan_count, nan_proportion = nan_count_proportion(data, column_name, n_samples) + if nan_count == n_samples: + return all_nan_statistics_item(n_samples) + + lengths_column_name = f"{column_name}_len" + lengths_df = cls.compute_transformed_data(data, column_name, lengths_column_name) + lengths_stats: NumericalStatisticsItem = cls.transform_column.compute_statistics( + lengths_df, column_name=lengths_column_name, n_samples=n_samples + ) + + return NumericalStatisticsItem( + nan_count=nan_count, + nan_proportion=nan_proportion, + min=lengths_stats["min"], + max=lengths_stats["max"], + mean=lengths_stats["mean"], + median=lengths_stats["median"], + std=lengths_stats["std"], + histogram=lengths_stats["histogram"], + ) + + def compute_and_prepare_response(self, data: pl.DataFrame) -> StatisticsPerColumnItem: + stats = self.compute_statistics(data, column_name=self.name, n_samples=self.n_samples) + return StatisticsPerColumnItem( + column_name=self.name, + column_type=ColumnType.LIST, + column_statistics=stats, + ) + + +class MediaColumn(Column): + transform_column: type[Column] + + @classmethod + def transform(cls, example: Optional[Union[bytes, dict[str, Any]]]) -> Any: + """ + Function to use to transform the original values to further pass these transformed values to statistics + computation. Used inside ._compute_statistics() method. + """ + raise NotImplementedError + + @classmethod + def compute_transformed_data( + cls, parquet_directory: Path, column_name: str, transform_func: Callable[[Any], Any] + ) -> list[Any]: + parquet_files = list(parquet_directory.glob(".parquet")) + transformed_values = [] + for filename in parquet_files: + shard_items = pq.read_table(filename, columns=[column_name]).to_pydict()[column_name] + shard_transformed_values = thread_map( + transform_func, + shard_items, + desc=f"Transforming values of {cls.__name__} {column_name} for {filename.name}", + leave=False, + ) + transformed_values.extend(shard_transformed_values) + return transformed_values + + @classmethod + def _compute_statistics( + cls, + parquet_directory: Path, + column_name: str, + n_samples: int, + ) -> SupportedStatistics: + transformed_values = cls.compute_transformed_data(parquet_directory, column_name, cls.transform) + nan_count = sum(value is None for value in transformed_values) + if nan_count == n_samples: + return all_nan_statistics_item(n_samples) + + nan_proportion = np.round(nan_count / n_samples, DECIMALS).item() if nan_count != 0 else 0.0 + transformed_df = pl.from_dict({column_name: transformed_values}) + transformed_stats: NumericalStatisticsItem = cls.transform_column.compute_statistics( + data=transformed_df, + column_name=column_name, + n_samples=n_samples, + ) + return NumericalStatisticsItem( + nan_count=nan_count, + nan_proportion=nan_proportion, + min=transformed_stats["min"], + max=transformed_stats["max"], + mean=transformed_stats["mean"], + median=transformed_stats["median"], + std=transformed_stats["std"], + histogram=transformed_stats["histogram"], + ) + + @classmethod + def get_column_type(cls) -> ColumnType: + return ColumnType(cls.__name__.split("Column")[0].lower()) + + def compute_and_prepare_response(self, parquet_directory: Path) -> StatisticsPerColumnItem: + stats = self.compute_statistics( + parquet_directory=parquet_directory, + column_name=self.name, + n_samples=self.n_samples, + ) + return StatisticsPerColumnItem( + column_name=self.name, + column_type=self.get_column_type(), + column_statistics=stats, + ) + + +class AudioColumn(MediaColumn): + transform_column = FloatColumn + + @staticmethod + def get_duration(example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[float]: + """Get audio durations""" + if example is None: + return None + example_bytes = example["bytes"] if isinstance(example, dict) else example + with io.BytesIO(example_bytes) as f: + return librosa.get_duration(path=f) # type: ignore # expects PathLike but BytesIO also works + + @classmethod + def transform(cls, example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[float]: + return cls.get_duration(example) + + +class ImageColumn(MediaColumn): + transform_column = IntColumn + + @staticmethod + def get_width(example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[int]: + """Get image widths.""" + if example is None: + return None + example_bytes = example["bytes"] if isinstance(example, dict) else example + with io.BytesIO(example_bytes) as f: + image = Image.open(f) + return image.size[0] + + @staticmethod + def get_shape(example: Optional[dict[str, Any]]) -> Union[tuple[None, None], tuple[int, int]]: + """Get image widths and heights.""" + if example is None: + return None, None + with io.BytesIO(example["bytes"]) as f: + image = Image.open(f) + return image.size + + @classmethod + def transform(cls, example: Optional[Union[bytes, dict[str, Any]]]) -> Optional[int]: + return cls.get_width(example) diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py index 54d7756a..d00026c5 100644 --- a/services/worker/tests/fixtures/datasets.py +++ b/services/worker/tests/fixtures/datasets.py @@ -29 +29,2 @@ from datasets.features.features import FeatureType -from .descriptive_statistics_dataset import ( +from .statistics_dataset import ( + all_nan_column, @@ -179,2 +180,40 @@ def datasets() -> Mapping[str, Dataset]: - "duckdb_index": Dataset.from_pandas( - pd.DataFrame( + "duckdb_index": Dataset.from_dict( + { + "text": SEARCH_TEXT_CONTENT, + "text_all_nan": all_nan_column(5), + "column with spaces": [ + "a", + "b", + "c", + "d", + "e", + ], + "list": [ + [1], + [1, 2], + None, + [1, 2, 3, 4], + [1, 2, 3, 4, 5], + ], + "list_all_nan": all_nan_column(5), + "sequence_list": [ + [1], + [1, 2], + None, + [1, 2, 3, 4], + [1, 2, 3, 4, 5], + ], + "sequence_list_all_nan": all_nan_column(5), + "sequence_struct": [ + [], + [{"author": "cat", "likes": 5}], + [{"author": "cat", "likes": 5}, {"author": "cat", "likes": 5}], + [{"author": "cat", "likes": 5}, {"author": "cat", "likes": 5}, {"author": "cat", "likes": 5}], + None, + ], + "audio": audio_dataset["audio"] + [None], + "audio_all_nan": all_nan_column(5), + "image": image_dataset["image"] + [None], + "image_all_nan": all_nan_column(5), + }, + features=Features( @@ -182,11 +221,14 @@ def datasets() -> Mapping[str, Dataset]: - "text": SEARCH_TEXT_CONTENT, - "column with spaces": [ - "a", - "b", - "c", - "d", - "e", - ], - }, - dtype=pd.StringDtype(storage="python"), - ) + "text": Value(dtype="string"), + "text_all_nan": Value(dtype="string"), + "column with spaces": Value(dtype="string"), + "list": [Value(dtype="int32")], + "list_all_nan": [Value(dtype="int32")], + "sequence_list": Sequence(Value(dtype="int32")), + "sequence_list_all_nan": Sequence(Value(dtype="int32")), + "sequence_struct": Sequence({"author": Value("string"), "likes": Value("int32")}), + "audio": Audio(sampling_rate=1600, decode=False), + "audio_all_nan": Audio(sampling_rate=1600, decode=False), + "image": Image(decode=False), + "image_all_nan": Image(decode=False), + } + ), diff --git a/services/worker/tests/fixtures/descriptive_statistics_dataset.py b/services/worker/tests/fixtures/statistics_dataset.py similarity index 98% rename from services/worker/tests/fixtures/descriptive_statistics_dataset.py rename to services/worker/tests/fixtures/statistics_dataset.py index 6e6984a3..4f3f0f73 100644 --- a/services/worker/tests/fixtures/descriptive_statistics_dataset.py +++ b/services/worker/tests/fixtures/statistics_dataset.py @@ -124,2 +124,2 @@ def long_text_nan_column() -> list[Optional[str]]: -def nan_column() -> list[None]: - return [None] * 20 +def all_nan_column(n_samples: int) -> list[None]: + return [None] * n_samples @@ -174 +174 @@ statistics_dataset = Dataset.from_dict( - "string_label__all_nan_column": nan_column(), + "string_label__all_nan_column": all_nan_column(20), @@ -177 +177 @@ statistics_dataset = Dataset.from_dict( - "int__all_nan_column": nan_column(), + "int__all_nan_column": all_nan_column(20), @@ -245 +245 @@ statistics_dataset = Dataset.from_dict( - "float__all_nan_column": nan_column(), + "float__all_nan_column": all_nan_column(20), @@ -312 +312 @@ statistics_dataset = Dataset.from_dict( - "class_label__all_nan_column": nan_column(), + "class_label__all_nan_column": all_nan_column(20), @@ -357 +357 @@ statistics_dataset = Dataset.from_dict( - "class_label__string_all_nan_column": nan_column(), + "class_label__string_all_nan_column": all_nan_column(20), @@ -578 +578 @@ statistics_dataset = Dataset.from_dict( - "bool__all_nan_column": nan_column(), + "bool__all_nan_column": all_nan_column(20), @@ -623 +623 @@ statistics_dataset = Dataset.from_dict( - "list__int_all_nan_column": nan_column(), + "list__int_all_nan_column": all_nan_column(20), @@ -668 +668 @@ statistics_dataset = Dataset.from_dict( - "list__string_all_nan_column": nan_column(), + "list__string_all_nan_column": all_nan_column(20), @@ -821 +821 @@ statistics_dataset = Dataset.from_dict( - "list__dict_all_nan_column": nan_column(), + "list__dict_all_nan_column": all_nan_column(20), @@ -866 +866 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_int_all_nan_column": nan_column(), + "list__sequence_int_all_nan_column": all_nan_column(20), @@ -911 +911 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_class_label_all_nan_column": nan_column(), + "list__sequence_class_label_all_nan_column": all_nan_column(20), @@ -956 +956 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_bool_all_nan_column": nan_column(), + "list__sequence_of_sequence_bool_all_nan_column": all_nan_column(20), @@ -1135 +1135 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_sequence_dict_all_nan_column": nan_column(), + "list__sequence_of_sequence_dict_all_nan_column": all_nan_column(20), @@ -1314 +1314 @@ statistics_dataset = Dataset.from_dict( - "list__sequence_of_list_dict_all_nan_column": nan_column(), + "list__sequence_of_list_dict_all_nan_column": all_nan_column(20), @@ -1607 +1607 @@ statistics_not_supported_dataset = Dataset.from_dict( - "list__sequence_dict_all_nan_column": nan_column(), + "list__sequence_dict_all_nan_column": all_nan_column(20), diff --git a/services/worker/tests/job_runners/split/test_descriptive_statistics.py b/services/worker/tests/job_runners/split/test_descriptive_statistics.py index 4ce0eec4..6761bb98 100644 --- a/services/worker/tests/job_runners/split/test_descriptive_statistics.py +++ b/services/worker/tests/job_runners/split/test_descriptive_statistics.py @@ -6 +6 @@ from http import HTTPStatus -from typing import Optional, Union +from typing import Optional @@ -8 +7,0 @@ from typing import Optional, Union -import numpy as np @@ -11,2 +9,0 @@ import polars as pl -import pyarrow as pa -import pyarrow.parquet as pq @@ -14,2 +11 @@ import pytest -from datasets import ClassLabel, Dataset -from datasets.table import embed_table_storage +from datasets import Dataset @@ -26,9 +22,3 @@ from worker.job_runners.config.parquet_metadata import ConfigParquetMetadataJobR -from worker.job_runners.split.descriptive_statistics import ( - DECIMALS, - MAX_NUM_STRING_LABELS, - MAX_PROPORTION_STRING_LABELS, - NO_LABEL_VALUE, - NUM_BINS, - AudioColumn, - BoolColumn, - ClassLabelColumn, +from worker.job_runners.split.descriptive_statistics import SplitDescriptiveStatisticsJobRunner +from worker.resources import LibrariesResource +from worker.statistics_utils import ( @@ -36,7 +25,0 @@ from worker.job_runners.split.descriptive_statistics import ( - FloatColumn, - ImageColumn, - IntColumn, - ListColumn, - SplitDescriptiveStatisticsJobRunner, - StringColumn, - generate_bins, @@ -44 +26,0 @@ from worker.job_runners.split.descriptive_statistics import ( -from worker.resources import LibrariesResource @@ -47,0 +30,7 @@ from ...fixtures.hub import HubDatasetTest +from ...test_statistics_utils import ( + count_expected_statistics_for_bool_column, + count_expected_statistics_for_categorical_column, + count_expected_statistics_for_list_column, + count_expected_statistics_for_numerical_column, + count_expected_statistics_for_string_column, +) @@ -56,32 +44,0 @@ GetParquetMetadataJobRunner = Callable[[str, str, AppConfig], ConfigParquetMetad [email protected]( - "min_value,max_value,column_type,expected_bins", - [ - (0, 1, ColumnType.INT, [0, 1, 1]), - (0, 12, ColumnType.INT, [0, 2, 4, 6, 8, 10, 12, 12]), - (-10, 15, ColumnType.INT, [-10, -7, -4, -1, 2, 5, 8, 11, 14, 15]), - (0, 9, ColumnType.INT, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 9]), - (0, 10, ColumnType.INT, [0, 2, 4, 6, 8, 10, 10]), - (0.0, 10.0, ColumnType.FLOAT, [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]), - (0.0, 0.1, ColumnType.FLOAT, [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1]), - (0, 0, ColumnType.INT, [0, 0]), - (0.0, 0.0, ColumnType.INT, [0.0, 0.0]), - (-0.5, 0.5, ColumnType.FLOAT, [-0.5, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5]), - (-100.0, 100.0, ColumnType.FLOAT, [-100.0, -80.0, -60.0, -40.0, -20.0, 0.0, 20.0, 40.0, 60.0, 80.0, 100.0]), - ], -) -def test_generate_bins( - min_value: Union[int, float], - max_value: Union[int, float], - column_type: ColumnType, - expected_bins: list[Union[int, float]], -) -> None: - bins = generate_bins( - min_value=min_value, max_value=max_value, column_name="dummy", column_type=column_type, n_bins=NUM_BINS - ) - assert 2 <= len(bins) <= NUM_BINS + 1 - if column_type is column_type.FLOAT: - assert pytest.approx(bins) == expected_bins - else: - assert bins == expected_bins - - @@ -256,127 +212,0 @@ def get_parquet_metadata_job_runner( -def count_expected_statistics_for_numerical_column( - column: pd.Series, # type: ignore - 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 nan_count == n_samples: - return { - "nan_count": n_samples, - "nan_proportion": 1.0, - "min": None, - "max": None, - "mean": None, - "median": None, - "std": None, - "histogram": None, - } - if dtype is ColumnType.FLOAT: - if minimum == maximum: - hist, bin_edges = np.array([column[~column.isna()].count()]), np.array([minimum, maximum]) - else: - hist, bin_edges = np.histogram(column[~column.isna()], bins=NUM_BINS) - bin_edges = bin_edges.astype(float).round(DECIMALS).tolist() - else: - bins = generate_bins(minimum, maximum, column_name="dummy", column_type=dtype, n_bins=NUM_BINS) - hist, bin_edges = np.histogram(column[~column.isna()], bins) - 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_list_column(column: pd.Series) -> dict: # type: ignore - if column.isnull().all(): - lengths_column = pd.Series([None] * column.shape[0]) - return count_expected_statistics_for_numerical_column(lengths_column, dtype=ColumnType.INT) - column_without_na = column.dropna() - first_sample = column_without_na.iloc[0] - if isinstance(first_sample, dict): # sequence is dict of lists - lengths_column = column.map(lambda x: len(next(iter(x.values()))) if x is not None else None) - else: - lengths_column = column.map(lambda x: len(x) if x is not None else None) - return count_expected_statistics_for_numerical_column(lengths_column, dtype=ColumnType.INT) - - -def count_expected_statistics_for_categorical_column( - column: pd.Series, # type: ignore - class_label_feature: ClassLabel, -) -> dict: # type: ignore - n_samples = column.shape[0] - nan_count = column.isna().sum() - value_counts = column.value_counts(dropna=True).to_dict() - no_label_count = int(value_counts.pop(NO_LABEL_VALUE, 0)) - num_classes = len(class_label_feature.names) - frequencies = { - class_label_feature.int2str(int(class_id)): value_counts.get(class_id, 0) for class_id in range(num_classes) - } - return { - "nan_count": nan_count, - "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0, - "no_label_count": no_label_count, - "no_label_proportion": np.round(no_label_count / n_samples, DECIMALS).item() if no_label_count else 0.0, - "n_unique": num_classes, - "frequencies": frequencies, - } - - -def count_expected_statistics_for_string_column(column: pd.Series) -> dict: # type: ignore - n_samples = column.shape[0] - nan_count = column.isna().sum() - value_counts = column.value_counts(dropna=True).to_dict() - n_unique = len(value_counts) - if ( - n_unique / n_samples <= MAX_PROPORTION_STRING_LABELS - and n_unique <= MAX_NUM_STRING_LABELS - or n_unique <= NUM_BINS - ): - return { - "nan_count": nan_count, - "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0, - "no_label_count": 0, - "no_label_proportion": 0.0, - "n_unique": n_unique, - "frequencies": value_counts, - } - - lengths_column = column.map(lambda x: len(x) if x is not None else None) - return count_expected_statistics_for_numerical_column(lengths_column, dtype=ColumnType.INT) - - -def count_expected_statistics_for_bool_column(column: pd.Series) -> dict: # type: ignore - n_samples = column.shape[0] - nan_count = column.isna().sum() - value_counts = column.value_counts(dropna=True).to_dict() - return { - "nan_count": nan_count, - "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0, - "frequencies": {str(key): freq for key, freq in value_counts.items()}, - } - - @@ -457,32 +287,16 @@ def audio_statistics_expected() -> dict: # type: ignore - audio_lengths = [1.0, 2.0, 3.0, 4.0] # datasets consists of 4 audio files of 1, 2, 3, 4 seconds lengths - audio_statistics = count_expected_statistics_for_numerical_column( - column=pd.Series(audio_lengths), dtype=ColumnType.FLOAT - ) - expected_statistics = { - "column_name": "audio", - "column_type": ColumnType.AUDIO, - "column_statistics": audio_statistics, - } - nan_audio_lengths = [1.0, None, 3.0, None] # take first and third audio file for this testcase - nan_audio_statistics = count_expected_statistics_for_numerical_column( - column=pd.Series(nan_audio_lengths), dtype=ColumnType.FLOAT - ) - expected_nan_statistics = { - "column_name": "audio_nan", - "column_type": ColumnType.AUDIO, - "column_statistics": nan_audio_statistics, - } - expected_all_nan_statistics = { - "column_name": "audio_all_nan", - "column_type": ColumnType.AUDIO, - "column_statistics": { - "nan_count": 4, - "nan_proportion": 1.0, - "min": None, - "max": None, - "mean": None, - "median": None, - "std": None, - "histogram": None, - }, - } + column_names_to_durations = [ + ("audio", [1.0, 2.0, 3.0, 4.0]), # datasets consists of 4 audio files of 1, 2, 3, 4 seconds lengths + ("audio_nan", [1.0, None, 3.0, None]), # take first and third audio file for this testcase + ("audio_all_nan", [None, None, None, None]), + ] + dataset_statistics = {} + for column_name, durations in column_names_to_durations: + statistics = count_expected_statistics_for_numerical_column( + column=pd.Series(durations), dtype=ColumnType.FLOAT + ) + column_statistics = { + "column_name": column_name, + "column_type": ColumnType.AUDIO, + "column_statistics": statistics, + } + dataset_statistics.update({column_name: column_statistics}) @@ -491,5 +305 @@ def audio_statistics_expected() -> dict: # type: ignore - "statistics": { - "audio": expected_statistics, - "audio_nan": expected_nan_statistics, - "audio_all_nan": expected_all_nan_statistics, - }, + "statistics": dataset_statistics, @@ -502,32 +312,14 @@ def image_statistics_expected() -> dict: # type: ignore - image_widths = [640, 1440, 520, 1240] # datasets consists of 4 image files - image_statistics = count_expected_statistics_for_numerical_column( - column=pd.Series(image_widths), dtype=ColumnType.INT - ) - expected_statistics = { - "column_name": "image", - "column_type": ColumnType.IMAGE, - "column_statistics": image_statistics, - } - nan_image_lengths = [640, None, 520, None] # take first and third image file for this testcase - nan_image_statistics = count_expected_statistics_for_numerical_column( - column=pd.Series(nan_image_lengths), dtype=ColumnType.INT - ) - expected_nan_statistics = { - "column_name": "image_nan", - "column_type": ColumnType.IMAGE, - "column_statistics": nan_image_statistics, - } - expected_all_nan_statistics = { - "column_name": "image_all_nan", - "column_type": ColumnType.IMAGE, - "column_statistics": { - "nan_count": 4, - "nan_proportion": 1.0, - "min": None, - "max": None, - "mean": None, - "median": None, - "std": None, - "histogram": None, - }, - } + column_names_to_widths = [ + ("image", [640, 1440, 520, 1240]), # datasets consists of 4 image files + ("image_nan", [640, None, 520, None]), # take first and third image file for this testcase + ("image_all_nan", [None, None, None, None]), + ] + dataset_statistics = {} + for column_name, widths in column_names_to_widths: + statistics = count_expected_statistics_for_numerical_column(column=pd.Series(widths), dtype=ColumnType.INT) + column_statistics = { + "column_name": column_name, + "column_type": ColumnType.IMAGE, + "column_statistics": statistics, + } + dataset_statistics.update({column_name: column_statistics}) @@ -536,5 +328 @@ def image_statistics_expected() -> dict: # type: ignore - "statistics": { - "image": expected_statistics, - "image_nan": expected_nan_statistics, - "image_all_nan": expected_all_nan_statistics, - }, + "statistics": dataset_statistics, @@ -545,203 +332,0 @@ def image_statistics_expected() -> dict: # type: ignore [email protected]( - "column_name", - [ - "float__column", - "float__nan_column", - "float__all_nan_column", - "float__negative_column", - "float__cross_zero_column", - "float__large_values_column", - "float__only_one_value_column", - "float__only_one_value_nan_column", - ], -) -def test_float_statistics( - column_name: str, - descriptive_statistics_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], -) -> None: - expected = descriptive_statistics_expected["statistics"][column_name]["column_statistics"] - data = datasets["descriptive_statistics"].to_dict() - computed = FloatColumn.compute_statistics( - data=pl.from_dict(data), - column_name=column_name, - n_samples=len(data[column_name]), - ) - expected_hist, computed_hist = expected.pop("histogram"), computed.pop("histogram") - if computed_hist: - assert computed_hist["hist"] == expected_hist["hist"] - assert pytest.approx(computed_hist["bin_edges"]) == expected_hist["bin_edges"] - assert pytest.approx(computed) == expected - assert computed["nan_count"] == expected["nan_count"] - - [email protected]( - "column_name", - [ - "int__column", - "int__nan_column", - "int__all_nan_column", - "int__negative_column", - "int__cross_zero_column", - "int__large_values_column", - "int__only_one_value_column", - "int__only_one_value_nan_column", - ], -) -def test_int_statistics( - column_name: str, - descriptive_statistics_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], -) -> None: - expected = descriptive_statistics_expected["statistics"][column_name]["column_statistics"] - data = datasets["descriptive_statistics"].to_dict() - computed = IntColumn.compute_statistics( - data=pl.from_dict(data), - column_name=column_name, - n_samples=len(data[column_name]), - ) - print(computed) - expected_hist, computed_hist = expected.pop("histogram"), computed.pop("histogram") - if computed_hist: - assert computed_hist["hist"] == expected_hist["hist"] - assert pytest.approx(computed_hist["bin_edges"]) == expected_hist["bin_edges"] - assert pytest.approx(computed) == expected - assert computed["nan_count"] == expected["nan_count"] - assert computed["min"] == expected["min"] - assert computed["max"] == expected["max"] - - [email protected]( - "column_name", - [ - "string_text__column", - "string_text__nan_column", - "string_text__large_string_column", - "string_text__large_string_nan_column", - "string_label__column", - "string_label__nan_column", - "string_label__all_nan_column", - ], -) -def test_string_statistics( - column_name: str, - descriptive_statistics_expected: dict, # type: ignore - descriptive_statistics_string_text_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], -) -> None: - if column_name.startswith("string_text__"): - expected = descriptive_statistics_string_text_expected["statistics"][column_name]["column_statistics"] - data = datasets["descriptive_statistics_string_text"].to_dict() - else: - expected = descriptive_statistics_expected["statistics"][column_name]["column_statistics"] - data = datasets["descriptive_statistics"].to_dict() - computed = StringColumn.compute_statistics( - data=pl.from_dict(data), - column_name=column_name, - n_samples=len(data[column_name]), - ) - if column_name.startswith("string_text__"): - expected_hist, computed_hist = expected.pop("histogram"), computed.pop("histogram") - assert expected_hist["hist"] == computed_hist["hist"] - assert expected_hist["bin_edges"] == pytest.approx(computed_hist["bin_edges"]) - assert expected == pytest.approx(computed) - else: - assert expected == computed - - [email protected]( - "column_name", - [ - "class_label__column", - "class_label__nan_column", - "class_label__all_nan_column", - "class_label__less_classes_column", - "class_label__string_column", - "class_label__string_nan_column", - "class_label__string_all_nan_column", - ], -) -def test_class_label_statistics( - column_name: str, - descriptive_statistics_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], -) -> None: - expected = descriptive_statistics_expected["statistics"][column_name]["column_statistics"] - class_label_feature = datasets["descriptive_statistics"].features[column_name] - data = datasets["descriptive_statistics"].to_dict() - computed = ClassLabelColumn.compute_statistics( - data=pl.from_dict(data), - column_name=column_name, - n_samples=len(data[column_name]), - feature_dict={"_type": "ClassLabel", "names": class_label_feature.names}, - ) - assert expected == computed - - [email protected]( - "column_name", - [ - "bool__column", - "bool__nan_column", - "bool__all_nan_column", - ], -) -def test_bool_statistics( - column_name: str, - descriptive_statistics_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], -) -> None: - expected = descriptive_statistics_expected["statistics"][column_name]["column_statistics"] - data = datasets["descriptive_statistics"].to_dict() - computed = BoolColumn.compute_statistics( - data=pl.from_dict(data), - column_name=column_name, - n_samples=len(data[column_name]), - ) - assert computed == expected - - [email protected]( - "column_name", - [ - "list__int_column", - "list__int_nan_column", - "list__int_all_nan_column", - "list__string_column", - "list__string_nan_column", - "list__string_all_nan_column", - "list__dict_column", - "list__dict_nan_column", - "list__dict_all_nan_column", - "list__sequence_int_column", - "list__sequence_int_nan_column", - "list__sequence_int_all_nan_column", - "list__sequence_class_label_column", - "list__sequence_class_label_nan_column", - "list__sequence_class_label_all_nan_column", - "list__sequence_of_sequence_bool_column", - "list__sequence_of_sequence_bool_nan_column", - "list__sequence_of_sequence_bool_all_nan_column", - "list__sequence_of_sequence_dict_column", - "list__sequence_of_sequence_dict_nan_column", - "list__sequence_of_sequence_dict_all_nan_column", - "list__sequence_of_list_dict_column", - "list__sequence_of_list_dict_nan_column", - "list__sequence_of_list_dict_all_nan_column", - ], -) -def test_list_statistics( - column_name: str, - descriptive_statistics_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], -) -> None: - expected = descriptive_statistics_expected["statistics"][column_name]["column_statistics"] - data = datasets["descriptive_statistics"].to_dict() - computed = ListColumn.compute_statistics( - data=pl.from_dict(data), - column_name=column_name, - n_samples=len(data[column_name]), - ) - assert computed == expected - - @@ -780,74 +364,0 @@ def test_polars_struct_thread_panic_error(struct_thread_panic_error_parquet_file [email protected]( - "column_name", - ["audio", "audio_nan", "audio_all_nan"], -) -def test_audio_statistics( - column_name: str, - audio_statistics_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], - tmp_path_factory: pytest.TempPathFactory, -) -> None: - expected = audio_statistics_expected["statistics"][column_name]["column_statistics"] - parquet_directory = tmp_path_factory.mktemp("data") - parquet_filename = parquet_directory / "data.parquet" - dataset_table = datasets["audio_statistics"].data - dataset_table_embedded = embed_table_storage(dataset_table) # store audio as bytes instead of paths to files - pq.write_table(dataset_table_embedded, parquet_filename) - computed = AudioColumn.compute_statistics( - parquet_directory=parquet_directory, - column_name=column_name, - n_samples=4, - ) - assert computed == expected - - # write samples as bytes, not as struct {"bytes": b"", "path": ""} - audios = datasets["audio_statistics"][column_name][:] - pa_table_bytes = pa.Table.from_pydict( - {column_name: [open(audio["path"], "rb").read() if audio else None for audio in audios]} - ) - pq.write_table(pa_table_bytes, parquet_filename) - computed = AudioColumn.compute_statistics( - parquet_directory=parquet_directory, - column_name=column_name, - n_samples=4, - ) - assert computed == expected - - [email protected]( - "column_name", - ["image", "image_nan", "image_all_nan"], -) -def test_image_statistics( - column_name: str, - image_statistics_expected: dict, # type: ignore - datasets: Mapping[str, Dataset], - tmp_path_factory: pytest.TempPathFactory, -) -> None: - expected = image_statistics_expected["statistics"][column_name]["column_statistics"] - parquet_directory = tmp_path_factory.mktemp("data") - parquet_filename = parquet_directory / "data.parquet" - dataset_table = datasets["image_statistics"].data - dataset_table_embedded = embed_table_storage(dataset_table) # store image as bytes instead of paths to files - pq.write_table(dataset_table_embedded, parquet_filename) - computed = ImageColumn.compute_statistics( - parquet_directory=parquet_directory, - column_name=column_name, - n_samples=4, - ) - assert computed == expected - - # write samples as bytes, not as struct {"bytes": b"", "path": ""} - images = datasets["image_statistics"][column_name][:] - pa_table_bytes = pa.Table.from_pydict( - {column_name: [open(image["path"], "rb").read() if image else None for image in images]} - ) - pq.write_table(pa_table_bytes, parquet_filename) - computed = ImageColumn.compute_statistics( - parquet_directory=parquet_directory, - column_name=column_name, - n_samples=4, - ) - assert computed == expected - - 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 555a56ba..77da4548 100644 --- a/services/worker/tests/job_runners/split/test_duckdb_index.py +++ b/services/worker/tests/job_runners/split/test_duckdb_index.py @@ -5 +5 @@ import os -from collections.abc import Callable +from collections.abc import Callable, Mapping @@ -10 +10 @@ from pathlib import Path -from typing import Optional +from typing import Any, Optional @@ -20 +20 @@ import requests -from datasets import Features, Image, Sequence, Translation, TranslationVariableLanguages, Value +from datasets import Audio, Dataset, Features, Image, Sequence, Translation, TranslationVariableLanguages, Value @@ -21,0 +22 @@ from datasets.packaged_modules.csv.csv import CsvConfig +from datasets.table import embed_table_storage @@ -34 +35,2 @@ from worker.job_runners.split.duckdb_index import ( - CREATE_TABLE_COMMANDS, + CREATE_INDEX_ID_COLUMN_COMMANDS, + CREATE_TABLE_COMMAND, @@ -41,0 +44 @@ from ...fixtures.hub import HubDatasetTest +from ...fixtures.statistics_dataset import all_nan_column @@ -218,0 +222,26 @@ def get_parquet_metadata_job_runner( [email protected] +def expected_data(datasets: Mapping[str, Dataset]) -> dict[str, list[Any]]: + ds = datasets["duckdb_index"] + ds = Dataset(embed_table_storage(ds.data)) + expected: dict[str, list[Any]] = ds[:] + for feature_name, feature in ds.features.items(): + is_string = isinstance(feature, Value) and feature.dtype == "string" + is_list = (isinstance(feature, list) or isinstance(feature, Sequence)) and feature_name != "sequence_struct" + if is_string or is_list: + expected[f"{feature_name}.length"] = [len(row) if row is not None else None for row in ds[feature_name]] + elif isinstance(feature, Audio): + if "all_nan" in feature_name: + expected[f"{feature_name}.duration"] = all_nan_column(5) + else: + expected[f"{feature_name}.duration"] = [1.0, 2.0, 3.0, 4.0, None] + elif isinstance(feature, Image): + if "all_nan" in feature_name: + expected[f"{feature_name}.width"] = all_nan_column(5) + expected[f"{feature_name}.height"] = all_nan_column(5) + else: + expected[f"{feature_name}.width"] = [640, 1440, 520, 1240, None] + expected[f"{feature_name}.height"] = [480, 1058, 400, 930, None] + expected["__hf_index_id"] = list(range(ds.num_rows)) + return expected + + @@ -242,0 +272 @@ def test_compute( + expected_data: dict[str, list[Any]], @@ -377,0 +408,11 @@ def test_compute( + columns = [row[0] for row in con.sql("SELECT column_name FROM (DESCRIBE data);").fetchall()] + if not multiple_parquet_files: + expected_columns = expected_data.keys() + assert sorted(columns) == sorted(expected_columns) + data = con.sql("SELECT * FROM data;").fetchall() + data = {column_name: list(values) for column_name, values in zip(columns, zip(data))} # type: ignore + assert data == expected_data # type: ignore + else: + expected_columns = list(config_parquet_and_info["dataset_info"]["features"]) + ["__hf_index_id"] # type: ignore + assert sorted(columns) == sorted(expected_columns) + @@ -511 +552,2 @@ def test_index_command(df: pd.DataFrame, query: str, expected_ids: list[int]) -> - duckdb.sql(CREATE_TABLE_COMMANDS.format(columns=columns, source="df")) + duckdb.sql(CREATE_TABLE_COMMAND.format(columns=columns, source="df")) + duckdb.sql(CREATE_INDEX_ID_COLUMN_COMMANDS) @@ -524 +566,2 @@ def test_table_column_hf_index_id_is_monotonic_increasing(tmp_path: Path) -> Non - con.sql(CREATE_TABLE_COMMANDS.format(columns=column_names, source=parquet_path)) + con.sql(CREATE_TABLE_COMMAND.format(columns=column_names, source=parquet_path)) + con.sql(CREATE_INDEX_ID_COLUMN_COMMANDS) diff --git a/services/worker/tests/test_statistics_utils.py b/services/worker/tests/test_statistics_utils.py new file mode 100644 index 00000000..b9071f15 --- /dev/null +++ b/services/worker/tests/test_statistics_utils.py @@ -0,0 +1,471 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. +from collections.abc import Mapping +from typing import Optional, Union + +import numpy as np +import pandas as pd +import polars as pl +import pyarrow as pa +import pyarrow.parquet as pq +import pytest +from datasets import ClassLabel, Dataset +from datasets.table import embed_table_storage + +from worker.statistics_utils import ( + DECIMALS, + MAX_NUM_STRING_LABELS, + MAX_PROPORTION_STRING_LABELS, + NO_LABEL_VALUE, + NUM_BINS, + AudioColumn, + BoolColumn, + ClassLabelColumn, + ColumnType, + FloatColumn, + ImageColumn, + IntColumn, + ListColumn, + StringColumn, + generate_bins, +) + + [email protected]( + "min_value,max_value,column_type,expected_bins", + [ + (0, 1, ColumnType.INT, [0, 1, 1]), + (0, 12, ColumnType.INT, [0, 2, 4, 6, 8, 10, 12, 12]), + (-10, 15, ColumnType.INT, [-10, -7, -4, -1, 2, 5, 8, 11, 14, 15]), + (0, 9, ColumnType.INT, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 9]), + (0, 10, ColumnType.INT, [0, 2, 4, 6, 8, 10, 10]), + (0.0, 10.0, ColumnType.FLOAT, [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]), + (0.0, 0.1, ColumnType.FLOAT, [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1]), + (0, 0, ColumnType.INT, [0, 0]), + (0.0, 0.0, ColumnType.INT, [0.0, 0.0]), + (-0.5, 0.5, ColumnType.FLOAT, [-0.5, -0.4, -0.3, -0.2, -0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5]), + (-100.0, 100.0, ColumnType.FLOAT, [-100.0, -80.0, -60.0, -40.0, -20.0, 0.0, 20.0, 40.0, 60.0, 80.0, 100.0]), + ], +) +def test_generate_bins( + min_value: Union[int, float], + max_value: Union[int, float], + column_type: ColumnType, + expected_bins: list[Union[int, float]], +) -> None: + bins = generate_bins( + min_value=min_value, max_value=max_value, column_name="dummy", column_type=column_type, n_bins=NUM_BINS + ) + assert 2 <= len(bins) <= NUM_BINS + 1 + if column_type is column_type.FLOAT: + assert pytest.approx(bins) == expected_bins + else: + assert bins == expected_bins + + +def count_expected_statistics_for_numerical_column( + column: pd.Series, # type: ignore + 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 nan_count == n_samples: + return { + "nan_count": n_samples, + "nan_proportion": 1.0, + "min": None, + "max": None, + "mean": None, + "median": None, + "std": None, + "histogram": None, + } + if dtype is ColumnType.FLOAT: + if minimum == maximum: + hist, bin_edges = np.array([column[~column.isna()].count()]), np.array([minimum, maximum]) + else: + hist, bin_edges = np.histogram(column[~column.isna()], bins=NUM_BINS) + bin_edges = bin_edges.astype(float).round(DECIMALS).tolist() + else: + bins = generate_bins(minimum, maximum, column_name="dummy", column_type=dtype, n_bins=NUM_BINS) + hist, bin_edges = np.histogram(column[~column.isna()], bins) + bin_edges = bin_edges.astype(int).tolist() + hist = hist.astype(int).tolist() + if hist and sum(hist) != column.shape[0] - nan_count: + raise ValueError("incorrect hist") + 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_list_column(column: pd.Series) -> dict: # type: ignore + if column.isnull().all(): + lengths_column = pd.Series([None] column.shape[0]) + return count_expected_statistics_for_numerical_column(lengths_column, dtype=ColumnType.INT) + column_without_na = column.dropna() + first_sample = column_without_na.iloc[0] + if isinstance(first_sample, dict): # sequence is dict of lists + lengths_column = column.map(lambda x: len(next(iter(x.values()))) if x is not None else None) + else: + lengths_column = column.map(lambda x: len(x) if x is not None else None) + return count_expected_statistics_for_numerical_column(lengths_column, dtype=ColumnType.INT) + + +def count_expected_statistics_for_categorical_column( + column: pd.Series, # type: ignore + class_label_feature: ClassLabel, +) -> dict: # type: ignore + n_samples = column.shape[0] + nan_count = column.isna().sum() + value_counts = column.value_counts(dropna=True).to_dict() + no_label_count = int(value_counts.pop(NO_LABEL_VALUE, 0)) + num_classes = len(class_label_feature.names) + frequencies = { + class_label_feature.int2str(int(class_id)): value_counts.get(class_id, 0) for class_id in range(num_classes) + } + return { + "nan_count": nan_count, + "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0, + "no_label_count": no_label_count, + "no_label_proportion": np.round(no_label_count / n_samples, DECIMALS).item() if no_label_count else 0.0, + "n_unique": num_classes, + "frequencies": frequencies, + } + + +def count_expected_statistics_for_string_column(column: pd.Series) -> dict: # type: ignore + n_samples = column.shape[0] + nan_count = column.isna().sum() + value_counts = column.value_counts(dropna=True).to_dict() + n_unique = len(value_counts) + if ( + n_unique / n_samples <= MAX_PROPORTION_STRING_LABELS + and n_unique <= MAX_NUM_STRING_LABELS + or n_unique <= NUM_BINS + ): + return { + "nan_count": nan_count, + "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0, + "no_label_count": 0, + "no_label_proportion": 0.0, + "n_unique": n_unique, + "frequencies": value_counts, + } + + lengths_column = column.map(lambda x: len(x) if x is not None else None) + return count_expected_statistics_for_numerical_column(lengths_column, dtype=ColumnType.INT) + + +def count_expected_statistics_for_bool_column(column: pd.Series) -> dict: # type: ignore + n_samples = column.shape[0] + nan_count = column.isna().sum() + value_counts = column.value_counts(dropna=True).to_dict() + return { + "nan_count": nan_count, + "nan_proportion": np.round(nan_count / n_samples, DECIMALS).item() if nan_count else 0.0, + "frequencies": {str(key): freq for key, freq in value_counts.items()}, + } + + [email protected]( + "column_name", + [ + "float__column", + "float__nan_column", + "float__all_nan_column", + "float__negative_column", + "float__cross_zero_column", + "float__large_values_column", + "float__only_one_value_column", + "float__only_one_value_nan_column", + ], +) +def test_float_statistics( + column_name: str, + datasets: Mapping[str, Dataset], +) -> None: + data = datasets["descriptive_statistics"].to_pandas() + expected = count_expected_statistics_for_numerical_column(data[column_name], dtype=ColumnType.FLOAT) + print(expected) + computed = FloatColumn.compute_statistics( + data=pl.from_pandas(data), + column_name=column_name, + n_samples=len(data[column_name]), + ) + expected_hist, computed_hist = expected.pop("histogram"), computed.pop("histogram") + if computed_hist: + assert computed_hist["hist"] == expected_hist["hist"] + assert pytest.approx(computed_hist["bin_edges"]) == expected_hist["bin_edges"] + assert pytest.approx(computed) == expected + assert computed["nan_count"] == expected["nan_count"] + + [email protected]( + "column_name", + [ + "int__column", + "int__nan_column", + "int__all_nan_column", + "int__negative_column", + "int__cross_zero_column", + "int__large_values_column", + "int__only_one_value_column", + "int__only_one_value_nan_column", + ], +) +def test_int_statistics( + column_name: str, + datasets: Mapping[str, Dataset], +) -> None: + data = datasets["descriptive_statistics"].to_pandas() + expected = count_expected_statistics_for_numerical_column(data[column_name], dtype=ColumnType.INT) + computed = IntColumn.compute_statistics( + data=pl.from_pandas(data), + column_name=column_name, + n_samples=len(data[column_name]), + ) + expected_hist, computed_hist = expected.pop("histogram"), computed.pop("histogram") + if computed_hist: + assert computed_hist["hist"] == expected_hist["hist"] + assert pytest.approx(computed_hist["bin_edges"]) == expected_hist["bin_edges"] + assert pytest.approx(computed) == expected + assert computed["nan_count"] == expected["nan_count"] + assert computed["min"] == expected["min"] + assert computed["max"] == expected["max"] + + [email protected]( + "column_name", + [ + "string_text__column", + "string_text__nan_column", + "string_text__large_string_column", + "string_text__large_string_nan_column", + "string_label__column", + "string_label__nan_column", + "string_label__all_nan_column", + ], +) +def test_string_statistics( + column_name: str, + datasets: Mapping[str, Dataset], +) -> None: + if column_name.startswith("string_text__"): + data = datasets["descriptive_statistics_string_text"].to_pandas() + else: + data = datasets["descriptive_statistics"].to_pandas() + expected = count_expected_statistics_for_string_column(data[column_name]) + computed = StringColumn.compute_statistics( + data=pl.from_pandas(data), + column_name=column_name, + n_samples=len(data[column_name]), + ) + if column_name.startswith("string_text__"): + expected_hist, computed_hist = expected.pop("histogram"), computed.pop("histogram") + assert expected_hist["hist"] == computed_hist["hist"] + assert expected_hist["bin_edges"] == pytest.approx(computed_hist["bin_edges"]) + assert expected == pytest.approx(computed) + else: + assert expected == computed + + [email protected]( + "column_name", + [ + "class_label__column", + "class_label__nan_column", + "class_label__all_nan_column", + "class_label__less_classes_column", + "class_label__string_column", + "class_label__string_nan_column", + "class_label__string_all_nan_column", + ], +) +def test_class_label_statistics( + column_name: str, + datasets: Mapping[str, Dataset], +) -> None: + data = datasets["descriptive_statistics"].to_pandas() + class_label_feature = datasets["descriptive_statistics"].features[column_name] + expected = count_expected_statistics_for_categorical_column(data[column_name], class_label_feature) + computed = ClassLabelColumn.compute_statistics( + data=pl.from_pandas(data), + column_name=column_name, + n_samples=len(data[column_name]), + feature_dict={"_type": "ClassLabel", "names": class_label_feature.names}, + ) + assert expected == computed + + [email protected]( + "column_name", + [ + "list__int_column", + "list__int_nan_column", + "list__int_all_nan_column", + "list__string_column", + "list__string_nan_column", + "list__string_all_nan_column", + "list__dict_column", + "list__dict_nan_column", + "list__dict_all_nan_column", + "list__sequence_int_column", + "list__sequence_int_nan_column", + "list__sequence_int_all_nan_column", + "list__sequence_class_label_column", + "list__sequence_class_label_nan_column", + "list__sequence_class_label_all_nan_column", + "list__sequence_of_sequence_bool_column", + "list__sequence_of_sequence_bool_nan_column", + "list__sequence_of_sequence_bool_all_nan_column", + "list__sequence_of_sequence_dict_column", + "list__sequence_of_sequence_dict_nan_column", + "list__sequence_of_sequence_dict_all_nan_column", + "list__sequence_of_list_dict_column", + "list__sequence_of_list_dict_nan_column", + "list__sequence_of_list_dict_all_nan_column", + ], +) +def test_list_statistics( + column_name: str, + datasets: Mapping[str, Dataset], +) -> None: + data = datasets["descriptive_statistics"].to_pandas() + expected = count_expected_statistics_for_list_column(data[column_name]) + computed = ListColumn.compute_statistics( + data=pl.from_pandas(data), + column_name=column_name, + n_samples=len(data[column_name]), + ) + assert computed == expected + + [email protected]( + "column_name", + [ + "bool__column", + "bool__nan_column", + "bool__all_nan_column", + ], +) +def test_bool_statistics( + column_name: str, + datasets: Mapping[str, Dataset], +) -> None: + data = datasets["descriptive_statistics"].to_pandas() + expected = count_expected_statistics_for_bool_column(data[column_name]) + computed = BoolColumn.compute_statistics( + data=pl.from_pandas(data), + column_name=column_name, + n_samples=len(data[column_name]), + ) + assert computed == expected + + [email protected]( + "column_name,audio_durations", + [ + ("audio", [1.0, 2.0, 3.0, 4.0]), # datasets consists of 4 audio files of 1, 2, 3, 4 seconds lengths + ("audio_nan", [1.0, None, 3.0, None]), # take first and third audio file for this testcase + ("audio_all_nan", [None, None, None, None]), + ], +) +def test_audio_statistics( + column_name: str, + audio_durations: Optional[list[Optional[float]]], + datasets: Mapping[str, Dataset], + tmp_path_factory: pytest.TempPathFactory, +) -> None: + expected = count_expected_statistics_for_numerical_column( + column=pd.Series(audio_durations), dtype=ColumnType.FLOAT + ) + parquet_directory = tmp_path_factory.mktemp("data") + parquet_filename = parquet_directory / "data.parquet" + dataset_table = datasets["audio_statistics"].data + dataset_table_embedded = embed_table_storage(dataset_table) # store audio as bytes instead of paths to files + pq.write_table(dataset_table_embedded, parquet_filename) + computed = AudioColumn.compute_statistics( + parquet_directory=parquet_directory, + column_name=column_name, + n_samples=4, + ) + assert computed == expected + + # write samples as just bytes, not as struct {"bytes": b"", "path": ""}, to check that this format works too + audios = datasets["audio_statistics"][column_name][:] + pa_table_bytes = pa.Table.from_pydict( + {column_name: [open(audio["path"], "rb").read() if audio else None for audio in audios]} + ) + pq.write_table(pa_table_bytes, parquet_filename) + computed = AudioColumn.compute_statistics( + parquet_directory=parquet_directory, + column_name=column_name, + n_samples=4, + ) + assert computed == expected + + [email protected]( + "column_name,image_widths", + [ + ("image", [640, 1440, 520, 1240]), # datasets consists of 4 image files + ("image_nan", [640, None, 520, None]), # take first and third image file for this testcase + ("image_all_nan", [None, None, None, None]), + ], +) +def test_image_statistics( + column_name: str, + image_widths: Optional[list[Optional[float]]], + datasets: Mapping[str, Dataset], + tmp_path_factory: pytest.TempPathFactory, +) -> None: + expected = count_expected_statistics_for_numerical_column(column=pd.Series(image_widths), dtype=ColumnType.INT) + parquet_directory = tmp_path_factory.mktemp("data") + parquet_filename = parquet_directory / "data.parquet" + dataset_table = datasets["image_statistics"].data + dataset_table_embedded = embed_table_storage(dataset_table) # store image as bytes instead of paths to files + pq.write_table(dataset_table_embedded, parquet_filename) + computed = ImageColumn.compute_statistics( + parquet_directory=parquet_directory, + column_name=column_name, + n_samples=4, + ) + assert computed == expected + + # write samples as just bytes, not as struct {"bytes": b"", "path": ""}, to check that this format works too + images = datasets["image_statistics"][column_name][:] + pa_table_bytes = pa.Table.from_pydict( + {column_name: [open(image["path"], "rb").read() if image else None for image in images]} + ) + pq.write_table(pa_table_bytes, parquet_filename) + computed = ImageColumn.compute_statistics( + parquet_directory=parquet_directory, + column_name=column_name, + n_samples=4, + ) + assert computed == expected
7dde4ec1c0696701c9ba386612e3edf3e5633ce4	Albert Villanova del Moral	[email protected]	2024-05-24T08:12:40	Update requests from yanked 2.32.1 to 2.32.2 to fix vulnerability (#2852)	diff --git a/docs/poetry.lock b/docs/poetry.lock index d3a3ff0c..0ba5e184 100644 --- a/docs/poetry.lock +++ b/docs/poetry.lock @@ -585 +585 @@ name = "requests" -version = "2.32.1" +version = "2.32.2" @@ -590,2 +590,2 @@ files = [ - {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, - {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, + {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"}, + {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"}, diff --git a/e2e/poetry.lock b/e2e/poetry.lock index ec4f38fc..38ba75e6 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -864 +864 @@ name = "requests" -version = "2.32.1" +version = "2.32.2" @@ -869,2 +869,2 @@ files = [ - {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, - {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, + {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"}, + {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"}, @@ -1083 +1083 @@ python-versions = "3.9.18" -content-hash = "0004adb8f556c65e2e032f6a11667b9f4c8822141e9cd09817d5ed7c9a40ed03" +content-hash = "090cd069171882b32b27c997e760eb2ae5ef06f2e4a651c38c2cd602cc9d9441" diff --git a/e2e/pyproject.toml b/e2e/pyproject.toml index c1f841fa..3533b9fe 100644 --- a/e2e/pyproject.toml +++ b/e2e/pyproject.toml @@ -18 +18 @@ pytest = "^7.2.1" -requests = "^2.32.1" +requests = "^2.32.2" diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index 5f2c12d9..82aaea80 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -2800 +2800 @@ name = "requests" -version = "2.32.1" +version = "2.32.2" @@ -2805,2 +2805,2 @@ files = [ - {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, - {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, + {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"}, + {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"}, @@ -3612 +3612 @@ python-versions = "3.9.18" -content-hash = "cca20e2d92a46fd687d07bd71cdd1d05ffbefc81eec757e8a221ec1df0019a87" +content-hash = "12b0dcba41391ec7792067365e802355a27c1017f635c23624d714b54165fd64" diff --git a/front/admin_ui/pyproject.toml b/front/admin_ui/pyproject.toml index 67b34a7a..2e770d44 100644 --- a/front/admin_ui/pyproject.toml +++ b/front/admin_ui/pyproject.toml @@ -15 +15 @@ pygraphviz = "~1.10" -requests = "^2.32.1" +requests = "^2.32.2" diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock index 30bb86d4..932993a2 100644 --- a/jobs/cache_maintenance/poetry.lock +++ b/jobs/cache_maintenance/poetry.lock @@ -2260 +2260 @@ name = "requests" -version = "2.32.1" +version = "2.32.2" @@ -2265,2 +2265,2 @@ files = [ - {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, - {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, + {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"}, + {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"}, diff --git a/jobs/mongodb_migration/poetry.lock b/jobs/mongodb_migration/poetry.lock index 5bf8846d..9621babe 100644 --- a/jobs/mongodb_migration/poetry.lock +++ b/jobs/mongodb_migration/poetry.lock @@ -2260 +2260 @@ name = "requests" -version = "2.32.1" +version = "2.32.2" @@ -2265,2 +2265,2 @@ files = [ - {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, - {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, + {file = "requests-2.32.2-py3-none-any.whl", hash = "sha256:fc06670dd0ed212426dfeb94fc1b983d917c4f9847c863f313c9dfaaffb7c23c"}, + {file = "requests-2.32.2.tar.gz", hash = "sha256:dd951ff5ecf3e3b3aa26b40703ba77495dab41da839ae72ef3c8e5d8e2433289"}, diff --git a/libs/libapi/poetry.lock b/libs/libapi/poetry.lock index 93ceee7d..53bbf13e 100644 --- a/libs/libapi/poetry.lock +++ b/libs/libapi/poetry.lock @@ -2495 +2495 @@ name = "requests" -version = "2.32.1" +version = "2.32.2" @@ -2500,2 +2500,2 @@ files = [ - 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8c93ebc5e12c6f29389f0b3ae247e3c9ed91fe3f	Albert Villanova del Moral	[email protected]	2024-05-24T05:16:17	Update ruff CI dependency to 0.4.5 (#2851)	diff --git a/e2e/poetry.lock b/e2e/poetry.lock index f1e8b476..ec4f38fc 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -903 +903 @@ name = "ruff" -version = "0.4.4" +version = "0.4.5" @@ -908,17 +908,17 @@ files = [ - {file = "ruff-0.4.4-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:29d44ef5bb6a08e235c8249294fa8d431adc1426bfda99ed493119e6f9ea1bf6"}, - {file = "ruff-0.4.4-py3-none-macosx_11_0_arm64.whl", hash = "sha256:c4efe62b5bbb24178c950732ddd40712b878a9b96b1d02b0ff0b08a090cbd891"}, - {file = "ruff-0.4.4-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c8e2f1e8fc12d07ab521a9005d68a969e167b589cbcaee354cb61e9d9de9c15"}, - {file = "ruff-0.4.4-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:60ed88b636a463214905c002fa3eaab19795679ed55529f91e488db3fe8976ab"}, - {file = "ruff-0.4.4-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b90fc5e170fc71c712cc4d9ab0e24ea505c6a9e4ebf346787a67e691dfb72e85"}, - 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f69fb2e137b5f8d6a5c4fe7d7376688fa4725d71	Quentin Lhoest	[email protected]	2024-05-22T16:32:39	Add dataset /presidio-entities endpoint (#2846)	diff --git a/docs/source/openapi.json b/docs/source/openapi.json index 80abed0f..41c080ae 100644 --- a/docs/source/openapi.json +++ b/docs/source/openapi.json @@ -1064 +1064,2 @@ - "has_urls_columns" + "has_urls_columns", + "full_scan" @@ -1090,0 +1092,39 @@ + "PresidioEntitiesCountResponse": { + "type": "object", + "required": [ + "scanned_columns", + "num_rows_with_person_entities", + "num_rows_with_phone_number_entities", + "num_rows_with_email_address_entities", + "num_rows_with_sensitive_pii", + "num_scanned_rows", + "has_scanned_columns" + ], + "properties": { + "scanned_columns": { + "type": "array", + "items": { + "type": "string" + } + }, + "num_rows_with_person_entities": { + "type": "integer" + }, + "num_rows_with_phone_number_entities": { + "type": "integer" + }, + "num_rows_with_email_address_entities": { + "type": "integer" + }, + "num_rows_with_sensitive_pii": { + "type": "integer" + }, + "num_scanned_rows": { + "type": "integer" + }, + "has_scanned_columns": { + "type": "boolean" + }, + "full_scan": { "anyOf": [{ "type": "boolean" }, { "type": "null" }] } + } + }, @@ -5434,0 +5475,145 @@ + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code-501" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": {} + } + } + } + } + } + }, + "/presidio-entities": { + "get": { + "summary": "Get the number of rows containing Presidio entities in a dataset.", + "description": "Based on Presidio, returns the number of rows containing names, emails, phone numbers of sensitive PII. Only a sample of the rows is scanned, the first 10K rows at the moment.", + "externalDocs": { + "description": "See https://microsoft.github.io/presidio/. The Hub docs are still missing for the endpoint, see https://github.com/huggingface/dataset-viewer/issues/1664.", + "url": "https://huggingface.co/docs/datasets-server/" + }, + "operationId": "getPresidioEntities", + "security": [ + {}, + { + "AuthorizationHuggingFaceApiToken": [] + }, + { + "AuthorizationHuggingFaceJWT": [] + } + ], + "parameters": [ + { + "$ref": "#/components/parameters/RequiredDataset" + } + ], + "responses": { + "200": { + "description": "The number of Presidio entities in the dataset.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/PresidioEntitiesCountResponse" + }, + "examples": { + "number of URLS for a dataset": { + "summary": "number of entities for a dataset.", + "description": "Try with https://datasets-server.huggingface.co/presidio-entities?dataset=lhoestq/fake_name_and_ssn", + "value": { + "scanned_columns": ["fake_name", "fake_ssn"], + "num_rows_with_person_entities": 3, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_email_address_entities": 0, + "num_rows_with_sensitive_pii": 2, + "num_scanned_rows": 3, + "has_scanned_columns": false, + "full_scan": true + } + }, + "dataset that has no image URLs columns": { + "summary": "no scanned columns: values are zero.", + "description": "Try with https://datasets-server.huggingface.co/presidio-entities?dataset=mnist", + "value": { + "scanned_columns": [], + "num_rows_with_person_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_email_address_entities": 0, + "num_rows_with_sensitive_pii": 0, + "num_scanned_rows": 0, + "has_scanned_columns": false, + "full_scan": false + } + } + } + } + } + }, + "401": { + "$ref": "#/components/responses/Common401" + }, + "404": { + "$ref": "#/components/responses/DatasetConfigSplit404" + }, + "422": { + "$ref": "#/components/responses/Dataset422" + }, + "500": { + "description": "The server crashed, the response still hasn't been generated (the process is asynchronous), or the response couldn't be generated successfully due to an error in the dataset itself. The client can retry after a time, in particular in the case of the response still being processed. If the error does not vanish, it's possibly due to a bug in the API software or in the dataset, and should be reported.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" + }, + "X-Error-Code": { + "$ref": "#/components/headers/X-Error-Code-500" + } + }, + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CustomError" + }, + "examples": { + "response not ready": { + "$ref": "#/components/examples/ResponseNotReadyError" + }, + "unexpected error": { + "$ref": "#/components/examples/UnexpectedJsonError" + } + } + }, + "text/plain": { + "schema": { + "$ref": "#/components/schemas/ServerErrorResponse" + }, + "examples": { + "internal server error": { + "$ref": "#/components/examples/UnexpectedTextError" + } + } + } + } + }, + "501": { + "description": "The server does not implement the feature or Presidio is not enabled on this dataset.", + "headers": { + "Cache-Control": { + "$ref": "#/components/headers/Cache-Control" + }, + "Access-Control-Allow-Origin": { + "$ref": "#/components/headers/Access-Control-Allow-Origin" diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index dd683418..4cef264a 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -657,0 +658,9 @@ specification: ProcessingGraphSpecification = { + "dataset-presidio-entities-count": { + "input_type": "dataset", + "triggered_by": [ + "dataset-split-names", # required in case the dataset has no configs (error in previous step) + "split-presidio-scan", + ], + "job_runner_version": 1, + "difficulty": 20, + }, diff --git a/libs/libcommon/tests/test_backfill_on_real_graph.py b/libs/libcommon/tests/test_backfill_on_real_graph.py index 786ff67a..8d534a71 100644 --- a/libs/libcommon/tests/test_backfill_on_real_graph.py +++ b/libs/libcommon/tests/test_backfill_on_real_graph.py @@ -59,0 +60 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-presidio-entities-count,dataset,revision", @@ -71 +72 @@ def test_plan_job_creation_and_termination() -> None: - tasks=["CreateJobs,12"], + tasks=["CreateJobs,13"], @@ -96,0 +98 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-presidio-entities-count,dataset,revision", @@ -114,0 +117 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-presidio-entities-count,dataset,revision", @@ -179,0 +183 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-presidio-entities-count,dataset,revision", @@ -196,0 +201 @@ def test_plan_job_creation_and_termination() -> None: + "dataset-presidio-entities-count,dataset,revision", diff --git a/libs/libcommon/tests/test_processing_graph.py b/libs/libcommon/tests/test_processing_graph.py index 7aa7bd66..ac9b729b 100644 --- a/libs/libcommon/tests/test_processing_graph.py +++ b/libs/libcommon/tests/test_processing_graph.py @@ -93 +93,3 @@ def test_graph() -> None: - [], + [ + "dataset-presidio-entities-count", + ], @@ -276 +278 @@ def test_graph() -> None: - [], + ["dataset-presidio-entities-count"], @@ -284,0 +287,15 @@ def test_graph() -> None: + ( + "dataset-presidio-entities-count", + [], + ["dataset-split-names", "split-presidio-scan"], + [ + "config-info", + "config-parquet", + "config-parquet-and-info", + "config-parquet-metadata", + "config-split-names", + "dataset-config-names", + "dataset-split-names", + "split-presidio-scan", + ], + ), diff --git a/services/api/src/api/config.py b/services/api/src/api/config.py index 1a220878..f8d37f40 100644 --- a/services/api/src/api/config.py +++ b/services/api/src/api/config.py @@ -84,0 +85,3 @@ class EndpointConfig: + "/presidio-entities": { + "dataset": "dataset-presidio-entities-count", + }, diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py index 2768388e..d608069a 100644 --- a/services/worker/src/worker/dtos.py +++ b/services/worker/src/worker/dtos.py @@ -81 +81 @@ class PresidioEntity(TypedDict): -class PresidioEntitiesCountResponse(TypedDict): +class PresidioAllEntitiesCountResponse(TypedDict): @@ -148 +148 @@ class PresidioEntitiesCountResponse(TypedDict): -class PresidioEntitiesScanResponse(PresidioEntitiesCountResponse): +class PresidioEntitiesScanResponse(PresidioAllEntitiesCountResponse): @@ -151,0 +152,11 @@ class PresidioEntitiesScanResponse(PresidioEntitiesCountResponse): +class PresidioEntitiesCountResponse(TypedDict): + scanned_columns: list[str] + num_rows_with_person_entities: int + num_rows_with_phone_number_entities: int + num_rows_with_email_address_entities: int + num_rows_with_sensitive_pii: int + num_scanned_rows: int + has_scanned_columns: bool + full_scan: Union[bool, None] + + diff --git a/services/worker/src/worker/job_runner_factory.py b/services/worker/src/worker/job_runner_factory.py index dc7da63a..4da653d4 100644 --- a/services/worker/src/worker/job_runner_factory.py +++ b/services/worker/src/worker/job_runner_factory.py @@ -40,0 +41 @@ from worker.job_runners.dataset.parquet import DatasetParquetJobRunner +from worker.job_runners.dataset.presidio_entities_count import DatasetPresidioEntitiesCountJobRunner @@ -201,0 +203,5 @@ class JobRunnerFactory(BaseJobRunnerFactory): + if job_type == DatasetPresidioEntitiesCountJobRunner.get_job_type(): + return DatasetPresidioEntitiesCountJobRunner( + job_info=job_info, + app_config=self.app_config, + ) @@ -266,0 +273 @@ class JobRunnerFactory(BaseJobRunnerFactory): + DatasetPresidioEntitiesCountJobRunner.get_job_type(), diff --git a/services/worker/src/worker/job_runners/dataset/presidio_entities_count.py b/services/worker/src/worker/job_runners/dataset/presidio_entities_count.py new file mode 100644 index 00000000..116131e8 --- /dev/null +++ b/services/worker/src/worker/job_runners/dataset/presidio_entities_count.py @@ -0,0 +1,100 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + +import logging +from http import HTTPStatus + +from libcommon.exceptions import PreviousStepFormatError +from libcommon.simple_cache import ( + CachedArtifactNotFoundError, + get_previous_step_or_raise, + get_response, +) + +from worker.dtos import JobResult, PresidioEntitiesCountResponse +from worker.job_runners.dataset.dataset_job_runner import DatasetJobRunner + + +def compute_presidio_entities_count_response(dataset: str) -> tuple[PresidioEntitiesCountResponse, float]: + logging.info(f"compute 'dataset-presidio-entities-count' for {dataset=}") + + split_names_response = get_previous_step_or_raise(kind="dataset-split-names", dataset=dataset) + content = split_names_response["content"] + if "splits" not in content: + raise PreviousStepFormatError("Previous step did not return the expected content: 'splits'.") + + scanned_columns = set() + presidio_entities_count_response = PresidioEntitiesCountResponse( + { + "scanned_columns": [], + "num_rows_with_person_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_email_address_entities": 0, + "num_rows_with_sensitive_pii": 0, + "num_scanned_rows": 0, + "has_scanned_columns": False, + "full_scan": True, + } + ) + try: + total = 0 + pending = 0 + for split_item in content["splits"]: + config = split_item["config"] + split = split_item["split"] + total += 1 + try: + response = get_response(kind="split-presidio-scan", dataset=dataset, config=config, split=split) + except CachedArtifactNotFoundError: + logging.debug("No response found in previous step for this dataset: 'split-presidio-scan'.") + pending += 1 + continue + if response["http_status"] != HTTPStatus.OK: + logging.debug(f"Previous step gave an error: {response['http_status']}.") + continue + split_presidio_scan_content = response["content"] + scanned_columns.update(split_presidio_scan_content["scanned_columns"]) + if not split_presidio_scan_content["full_scan"]: + presidio_entities_count_response["full_scan"] = False + presidio_entities_count_response["num_rows_with_person_entities"] += split_presidio_scan_content[ + "num_rows_with_person_entities" + ] + presidio_entities_count_response["num_rows_with_phone_number_entities"] += split_presidio_scan_content[ + "num_rows_with_phone_number_entities" + ] + presidio_entities_count_response["num_rows_with_email_address_entities"] += split_presidio_scan_content[ + "num_rows_with_email_address_entities" + ] + presidio_entities_count_response["num_rows_with_sensitive_pii"] += split_presidio_scan_content[ + "num_rows_with_credit_card_entities" + ] + presidio_entities_count_response["num_rows_with_sensitive_pii"] += split_presidio_scan_content[ + "num_rows_with_us_ssn_entities" + ] + presidio_entities_count_response["num_rows_with_sensitive_pii"] += split_presidio_scan_content[ + "num_rows_with_us_passport_entities" + ] + presidio_entities_count_response["num_rows_with_sensitive_pii"] += split_presidio_scan_content[ + "num_rows_with_iban_code_entities" + ] + presidio_entities_count_response["num_scanned_rows"] += split_presidio_scan_content["num_scanned_rows"] + except Exception as e: + raise PreviousStepFormatError("Previous step did not return the expected content.", e) from e + + presidio_entities_count_response["scanned_columns"] = sorted(scanned_columns) + presidio_entities_count_response["has_scanned_columns"] = ( + len(presidio_entities_count_response["scanned_columns"]) > 0 + ) + progress = (total - pending) / total if total else 1.0 + + return (presidio_entities_count_response, progress) + + +class DatasetPresidioEntitiesCountJobRunner(DatasetJobRunner): + @staticmethod + def get_job_type() -> str: + return "dataset-presidio-entities-count" + + def compute(self) -> JobResult: + response_content, progress = compute_presidio_entities_count_response(dataset=self.dataset) + return JobResult(response_content, progress=progress) diff --git a/services/worker/tests/job_runners/dataset/test_presidio_entities_count.py b/services/worker/tests/job_runners/dataset/test_presidio_entities_count.py new file mode 100644 index 00000000..1be9402c --- /dev/null +++ b/services/worker/tests/job_runners/dataset/test_presidio_entities_count.py @@ -0,0 +1,362 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + +from collections.abc import Callable +from http import HTTPStatus +from typing import Any + +import pytest +from libcommon.dtos import Priority +from libcommon.resources import CacheMongoResource, QueueMongoResource +from libcommon.simple_cache import CachedArtifactNotFoundError, upsert_response + +from worker.config import AppConfig +from worker.dtos import PresidioEntitiesScanResponse +from worker.job_runners.dataset.presidio_entities_count import ( + DatasetPresidioEntitiesCountJobRunner, +) + +from ..utils import REVISION_NAME + + [email protected](autouse=True) +def prepare_and_clean_mongo(app_config: AppConfig) -> None: + # prepare the database before each test, and clean it afterwards + pass + + +GetJobRunner = Callable[[str, AppConfig], DatasetPresidioEntitiesCountJobRunner] + + [email protected] +def get_job_runner( + cache_mongo_resource: CacheMongoResource, + queue_mongo_resource: QueueMongoResource, +) -> GetJobRunner: + def _get_job_runner( + dataset: str, + app_config: AppConfig, + ) -> DatasetPresidioEntitiesCountJobRunner: + return DatasetPresidioEntitiesCountJobRunner( + job_info={ + "type": DatasetPresidioEntitiesCountJobRunner.get_job_type(), + "params": { + "dataset": dataset, + "revision": REVISION_NAME, + "config": None, + "split": None, + }, + "job_id": "job_id", + "priority": Priority.NORMAL, + "difficulty": 50, + }, + app_config=app_config, + ) + + return _get_job_runner + + +SAMPLE_RESPONSE = PresidioEntitiesScanResponse( + { + "scanned_columns": ["col"], + "num_in_vehicle_registration_entities": 0, + "num_organization_entities": 0, + "num_sg_nric_fin_entities": 0, + "num_person_entities": 2, + "num_credit_card_entities": 0, + "num_medical_license_entities": 0, + "num_nrp_entities": 0, + "num_us_ssn_entities": 1, + "num_crypto_entities": 0, + "num_date_time_entities": 0, + "num_location_entities": 0, + "num_us_driver_license_entities": 0, + "num_phone_number_entities": 0, + "num_url_entities": 0, + "num_us_passport_entities": 0, + "num_age_entities": 0, + "num_au_acn_entities": 0, + "num_email_address_entities": 1, + "num_in_pan_entities": 0, + "num_ip_address_entities": 1, + "num_id_entities": 0, + "num_us_bank_number_entities": 0, + "num_in_aadhaar_entities": 0, + "num_us_itin_entities": 0, + "num_au_medicare_entities": 0, + "num_iban_code_entities": 0, + "num_au_tfn_entities": 0, + "num_uk_nhs_entities": 0, + "num_email_entities": 0, + "num_au_abn_entities": 0, + "num_rows_with_in_vehicle_registration_entities": 0, + "num_rows_with_organization_entities": 0, + "num_rows_with_sg_nric_fin_entities": 0, + "num_rows_with_person_entities": 2, + "num_rows_with_credit_card_entities": 0, + "num_rows_with_medical_license_entities": 0, + "num_rows_with_nrp_entities": 0, + "num_rows_with_us_ssn_entities": 1, + "num_rows_with_crypto_entities": 0, + "num_rows_with_date_time_entities": 0, + "num_rows_with_location_entities": 0, + "num_rows_with_us_driver_license_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_url_entities": 0, + "num_rows_with_us_passport_entities": 0, + "num_rows_with_age_entities": 0, + "num_rows_with_au_acn_entities": 0, + "num_rows_with_email_address_entities": 1, + "num_rows_with_in_pan_entities": 0, + "num_rows_with_ip_address_entities": 1, + "num_rows_with_id_entities": 0, + "num_rows_with_us_bank_number_entities": 0, + "num_rows_with_in_aadhaar_entities": 0, + "num_rows_with_us_itin_entities": 0, + "num_rows_with_au_medicare_entities": 0, + "num_rows_with_iban_code_entities": 0, + "num_rows_with_au_tfn_entities": 0, + "num_rows_with_uk_nhs_entities": 0, + "num_rows_with_email_entities": 0, + "num_rows_with_au_abn_entities": 0, + "num_scanned_rows": 6, + "has_scanned_columns": True, + "full_scan": True, + "entities": [ + {"column_name": "col", "row_idx": 0, "text": "Gi**** Gi*", "type": "PERSON"}, + {"column_name": "col", "row_idx": 1, "text": "Gi**", "type": "PERSON"}, + {"column_name": "col", "row_idx": 2, "text": "19.**..", "type": "IP_ADDRESS"}, + {"column_name": "col", "row_idx": 3, "text": "34--", "type": "US_SSN"}, + { + "column_name": "col", + "row_idx": 4, + "text": "gi**.***@****.", + "type": "EMAIL_ADDRESS", + }, + ], + } +) + +SAMPLE_RESPONSE_NOT_FULL_SCAN = PresidioEntitiesScanResponse( + { + "scanned_columns": ["col"], + "num_in_vehicle_registration_entities": 0, + "num_organization_entities": 0, + "num_sg_nric_fin_entities": 0, + "num_person_entities": 2, + "num_credit_card_entities": 0, + "num_medical_license_entities": 0, + "num_nrp_entities": 0, + "num_us_ssn_entities": 0, + "num_crypto_entities": 0, + "num_date_time_entities": 0, + "num_location_entities": 0, + "num_us_driver_license_entities": 0, + "num_phone_number_entities": 0, + "num_url_entities": 0, + "num_us_passport_entities": 0, + "num_age_entities": 0, + "num_au_acn_entities": 0, + "num_email_address_entities": 0, + "num_in_pan_entities": 0, + "num_ip_address_entities": 1, + "num_id_entities": 0, + "num_us_bank_number_entities": 0, + "num_in_aadhaar_entities": 0, + "num_us_itin_entities": 0, + "num_au_medicare_entities": 0, + "num_iban_code_entities": 0, + "num_au_tfn_entities": 0, + "num_uk_nhs_entities": 0, + "num_email_entities": 0, + "num_au_abn_entities": 0, + "num_rows_with_in_vehicle_registration_entities": 0, + "num_rows_with_organization_entities": 0, + "num_rows_with_sg_nric_fin_entities": 0, + "num_rows_with_person_entities": 2, + "num_rows_with_credit_card_entities": 0, + "num_rows_with_medical_license_entities": 0, + "num_rows_with_nrp_entities": 0, + "num_rows_with_us_ssn_entities": 0, + "num_rows_with_crypto_entities": 0, + "num_rows_with_date_time_entities": 0, + "num_rows_with_location_entities": 0, + "num_rows_with_us_driver_license_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_url_entities": 0, + "num_rows_with_us_passport_entities": 0, + "num_rows_with_age_entities": 0, + "num_rows_with_au_acn_entities": 0, + "num_rows_with_email_address_entities": 0, + "num_rows_with_in_pan_entities": 0, + "num_rows_with_ip_address_entities": 1, + "num_rows_with_id_entities": 0, + "num_rows_with_us_bank_number_entities": 0, + "num_rows_with_in_aadhaar_entities": 0, + "num_rows_with_us_itin_entities": 0, + "num_rows_with_au_medicare_entities": 0, + "num_rows_with_iban_code_entities": 0, + "num_rows_with_au_tfn_entities": 0, + "num_rows_with_uk_nhs_entities": 0, + "num_rows_with_email_entities": 0, + "num_rows_with_au_abn_entities": 0, + "num_scanned_rows": 3, + "has_scanned_columns": True, + "full_scan": False, + "entities": [ + {"column_name": "col", "row_idx": 0, "text": "Gi*** Gi*", "type": "PERSON"}, + {"column_name": "col", "row_idx": 1, "text": "Gi**", "type": "PERSON"}, + {"column_name": "col", "row_idx": 2, "text": "19.**..", "type": "IP_ADDRESS"}, + ], + } +) + + [email protected]( + "dataset,split_names_status,split_names_content,split_upstream_status" + + ",split_upstream_content,expected_error_code,expected_content,should_raise", + [ + ( + "dataset_ok_full_scan", + HTTPStatus.OK, + { + "splits": [ + {"dataset": "dataset_ok_full_scan", "config": "config1", "split": "split1"}, + {"dataset": "dataset_ok_full_scan", "config": "config1", "split": "split2"}, + {"dataset": "dataset_ok_full_scan", "config": "config2", "split": "split3"}, + ] + }, + [HTTPStatus.OK] 3, + [SAMPLE_RESPONSE] * 3, + None, + { + "scanned_columns": SAMPLE_RESPONSE["scanned_columns"], + "num_rows_with_person_entities": SAMPLE_RESPONSE["num_rows_with_person_entities"] * 3, + "num_rows_with_phone_number_entities": SAMPLE_RESPONSE["num_rows_with_phone_number_entities"] * 3, + "num_rows_with_email_address_entities": SAMPLE_RESPONSE["num_rows_with_email_address_entities"] * 3, + "num_rows_with_sensitive_pii": ( + SAMPLE_RESPONSE["num_rows_with_credit_card_entities"] + + SAMPLE_RESPONSE["num_rows_with_us_ssn_entities"] + + SAMPLE_RESPONSE["num_rows_with_us_passport_entities"] + + SAMPLE_RESPONSE["num_rows_with_iban_code_entities"] + ) + * 3, + "num_scanned_rows": SAMPLE_RESPONSE["num_scanned_rows"] * 3, + "has_scanned_columns": True, + "full_scan": True, + }, + False, + ), + ( + "dataset_ok_not_full_scan", + HTTPStatus.OK, + { + "splits": [ + {"dataset": "dataset_ok_not_full_scan", "config": "config1", "split": "split1"}, + {"dataset": "dataset_ok_not_full_scan", "config": "config1", "split": "split2"}, + {"dataset": "dataset_ok_not_full_scan", "config": "config2", "split": "split3"}, + ] + }, + [HTTPStatus.OK] * 3, + [SAMPLE_RESPONSE_NOT_FULL_SCAN] * 3, + None, + { + "scanned_columns": SAMPLE_RESPONSE_NOT_FULL_SCAN["scanned_columns"], + "num_rows_with_person_entities": SAMPLE_RESPONSE_NOT_FULL_SCAN["num_rows_with_person_entities"] * 3, + "num_rows_with_phone_number_entities": SAMPLE_RESPONSE_NOT_FULL_SCAN[ + "num_rows_with_phone_number_entities" + ] + * 3, + "num_rows_with_email_address_entities": SAMPLE_RESPONSE_NOT_FULL_SCAN[ + "num_rows_with_email_address_entities" + ] + * 3, + "num_rows_with_sensitive_pii": ( + SAMPLE_RESPONSE_NOT_FULL_SCAN["num_rows_with_credit_card_entities"] + + SAMPLE_RESPONSE_NOT_FULL_SCAN["num_rows_with_us_ssn_entities"] + + SAMPLE_RESPONSE_NOT_FULL_SCAN["num_rows_with_us_passport_entities"] + + SAMPLE_RESPONSE_NOT_FULL_SCAN["num_rows_with_iban_code_entities"] + ) + * 3, + "num_scanned_rows": SAMPLE_RESPONSE_NOT_FULL_SCAN["num_scanned_rows"] * 3, + "has_scanned_columns": True, + "full_scan": False, + }, + False, + ), + ( + "previous_step_error", + HTTPStatus.INTERNAL_SERVER_ERROR, + {}, + [], + [], + "CachedArtifactError", + None, + True, + ), + ( + "previous_step_format_error", + HTTPStatus.OK, + { + "splits": [ + {"dataset": "dataset_ok_full_scan", "config": "config1", "split": "split1"}, + {"dataset": "dataset_ok_full_scan", "config": "config1", "split": "split2"}, + {"dataset": "dataset_ok_full_scan", "config": "config2", "split": "split3"}, + ] + }, + [HTTPStatus.OK], + [{"wrong_format": None}], + "PreviousStepFormatError", + None, + True, + ), + ], +) +def test_compute( + app_config: AppConfig, + get_job_runner: GetJobRunner, + dataset: str, + split_names_status: HTTPStatus, + split_names_content: Any, + split_upstream_status: list[HTTPStatus], + split_upstream_content: list[Any], + expected_error_code: str, + expected_content: Any, + should_raise: bool, +) -> None: + upsert_response( + kind="dataset-split-names", + dataset=dataset, + dataset_git_revision=REVISION_NAME, + content=split_names_content, + http_status=split_names_status, + ) + + if split_names_status == HTTPStatus.OK: + for split_item, status, content in zip( + split_names_content["splits"], split_upstream_status, split_upstream_content + ): + upsert_response( + kind="split-presidio-scan", + dataset=dataset, + dataset_git_revision=REVISION_NAME, + config=split_item["config"], + split=split_item["split"], + content=content, + http_status=status, + ) + + job_runner = get_job_runner(dataset, app_config) + if should_raise: + with pytest.raises(Exception) as e: + job_runner.compute() + assert e.typename == expected_error_code + else: + assert job_runner.compute().content == expected_content + + +def test_doesnotexist(app_config: AppConfig, get_job_runner: GetJobRunner) -> None: + dataset = "doesnotexist" + job_runner = get_job_runner(dataset, app_config) + with pytest.raises(CachedArtifactNotFoundError): + job_runner.compute()
9ba61fcca9c8da68cf0f1f5660265e3328706a12	Andrea Francis Soria Jimenez	[email protected]	2024-05-22T15:40:03	Moving webhook to its own service (#2849)	diff --git a/.github/workflows/_e2e_tests.yml b/.github/workflows/_e2e_tests.yml index 665145dd..f5f97212 100644 --- a/.github/workflows/_e2e_tests.yml +++ b/.github/workflows/_e2e_tests.yml @@ -42,0 +43,2 @@ jobs: + WEBHOOK_UVICORN_NUM_WORKERS: "2" + WEBHOOK_UVICORN_PORT: "8087" @@ -101,0 +104,2 @@ jobs: + WEBHOOK_UVICORN_NUM_WORKERS: "2" + WEBHOOK_UVICORN_PORT: "8087" diff --git a/.github/workflows/cd.yml b/.github/workflows/cd.yml index a11db55d..ac069982 100644 --- a/.github/workflows/cd.yml +++ b/.github/workflows/cd.yml @@ -39,0 +40,2 @@ jobs: + - directory: services + project: webhook @@ -124,0 +127,2 @@ jobs: + webhook: + tag: sha-${{ steps.vars.outputs.sha_short }} diff --git a/.github/workflows/s-webhook.yml b/.github/workflows/s-webhook.yml new file mode 100644 index 00000000..821648fc --- /dev/null +++ b/.github/workflows/s-webhook.yml @@ -0,0 +1,35 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. + +name: services/webhook +on: + workflow_dispatch: + push: + branches: + - main + paths: + - "libs/libapi/" + - "libs/libcommon/" + - "services/webhook/" + - ".github/workflows/s-webhook.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/webhook/" + - ".github/workflows/s-webhook.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/webhook + unit-tests: + uses: ./.github/workflows/_unit-tests-python.yml + with: + working-directory: services/webhook diff --git a/.vscode/monorepo.code-workspace b/.vscode/monorepo.code-workspace index fbd0eb0b..988d444c 100644 --- a/.vscode/monorepo.code-workspace +++ b/.vscode/monorepo.code-workspace @@ -62,0 +63,4 @@ + }, + { + "name": "services/webhook", + "path": "../services/webhook" diff --git a/DEVELOPER_GUIDE.md b/DEVELOPER_GUIDE.md index 05c6e45f..bb19ac4d 100644 --- a/DEVELOPER_GUIDE.md +++ b/DEVELOPER_GUIDE.md @@ -70 +70 @@ For now, there are two libraries - The API service exposes the `/webhook` endpoint which is called by the Hub on every creation, update or deletion of a dataset on the Hub. On deletion, the cached responses are deleted. On creation or update, a new job is appended in the "queue" database. + - [webhook](./services/webhook/), exposes the `/webhook` endpoint which is called by the Hub on every creation, update or deletion of a dataset on the Hub. On deletion, the cached responses are deleted. On creation or update, a new job is appended in the "queue" database. diff --git a/Makefile b/Makefile index 65b34130..bfa50dec 100644 --- a/Makefile +++ b/Makefile @@ -8,0 +9 @@ export PORT_WORKER := 8186 +export PORT_WEBHOOK := 8187 @@ -27 +28 @@ start: - MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} 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} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} WEBHOOK_UVICORN_PORT=${PORT_WEBHOOK} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) up @@ -31 +32 @@ stop: - MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} 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} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} WEBHOOK_UVICORN_PORT=${PORT_WEBHOOK} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) down @@ -35 +36 @@ dev-start: - MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} 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} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} WEBHOOK_UVICORN_PORT=${PORT_WEBHOOK} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) up @@ -39 +40 @@ dev-stop: - MONGO_PORT=${MONGO_PORT} ADMIN_UVICORN_PORT=${PORT_ADMIN} API_UVICORN_PORT=${PORT_API} ROWS_UVICORN_PORT=${PORT_ROWS} SEARCH_UVICORN_PORT=${PORT_SEARCH} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} 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} SSE_API_UVICORN_PORT=${PORT_SSE_API} WORKER_UVICORN_PORT=${PORT_WORKER} WEBHOOK_UVICORN_PORT=${PORT_WEBHOOK} PORT_REVERSE_PROXY=${PORT_REVERSE_PROXY} DOCKER_COMPOSE=${DOCKER_COMPOSE} $(MAKE) down @@ -58,0 +60 @@ install: + $(MAKE) -C services/webhook install diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index cf1bb7f8..b527a8f3 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -62 +62,5 @@ images: - + webhook: + registry: huggingface + useGlobalRegistry: false + repository: datasets-server-services-webhook + tag: sha-fb3399a @@ -539,0 +544,27 @@ workers: + +webhook: + # 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-webhook: "true" + tolerations: + - key: "huggingface.co/datasets-server-webhook" + operator: "Exists" + effect: "NoSchedule" + replicas: 4 + service: + type: NodePort + ingress: + enabled: true + annotations: + alb.ingress.kubernetes.io/group.order: "5" + alb.ingress.kubernetes.io/target-node-labels: role-datasets-server-webhook=true + resources: + requests: + cpu: 4 + memory: "4Gi" + limits: + cpu: 4 + memory: "4Gi" diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml index d68221a3..028a7006 100644 --- a/chart/env/staging.yaml +++ b/chart/env/staging.yaml @@ -57,0 +58,5 @@ images: + webhook: + registry: huggingface + useGlobalRegistry: false + repository: datasets-server-services-webhook + tag: sha-fb3399a @@ -322,0 +328,17 @@ workers: + +webhook: + uvicornNumWorkers: "1" + replicas: 1 + service: + type: NodePort + ingress: + enabled: true + annotations: + alb.ingress.kubernetes.io/group.order: "4" + resources: + requests: + cpu: 100m + memory: "512Mi" + limits: + cpu: 1 + memory: "4Gi" diff --git a/chart/templates/_common/_helpers.tpl b/chart/templates/_common/_helpers.tpl index 5952df00..d9e080a1 100644 --- a/chart/templates/_common/_helpers.tpl +++ b/chart/templates/_common/_helpers.tpl @@ -60,0 +61,4 @@ Docker image management +{{- define "services.webhook.image" -}} +{{ include "hf.common.images.image" (dict "imageRoot" .Values.images.services.webhook "global" .Values.global.huggingface) }} +{{- end -}} + @@ -128,0 +133,5 @@ app.kubernetes.io/component: "{{ include "name" . }}-worker-{{ .workerValues.dep +{{- define "labels.webhook" -}} +{{ include "hf.labels.commons" . }} +app.kubernetes.io/component: "{{ include "name" . }}-webhook" +{{- end -}} + diff --git a/chart/templates/services/webhook/_container.tpl b/chart/templates/services/webhook/_container.tpl new file mode 100644 index 00000000..ce17e89f --- /dev/null +++ b/chart/templates/services/webhook/_container.tpl @@ -0,0 +1,55 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +{{- define "containerWebhook" -}} +- name: "{{ include "name" . }}-webhook" + image: {{ include "services.webhook.image" . }} + imagePullPolicy: {{ .Values.images.pullPolicy }} + env: + {{ include "envCache" . \| nindent 2 }} + {{ include "envS3" . \| nindent 2 }} + {{ include "envCloudfront" . \| nindent 2 }} + {{ include "envQueue" . \| nindent 2 }} + {{ include "envCommon" . \| nindent 2 }} + {{ include "envHf" . \| nindent 2 }} + {{ include "envLog" . \| nindent 2 }} + {{ include "envNumba" . \| nindent 2 }} + # storage + {{ include "envAssets" . \| nindent 2 }} + {{ include "envCachedAssets" . \| nindent 2 }} + # service + - name: API_MAX_AGE_LONG + value: {{ .Values.webhook.maxAgeLong \| quote }} + - name: API_MAX_AGE_SHORT + value: {{ .Values.webhook.maxAgeShort \| quote }} + # prometheus + - name: PROMETHEUS_MULTIPROC_DIR + value: {{ .Values.webhook.prometheusMultiprocDirectory \| quote }} + # uvicorn + - name: API_UVICORN_HOSTNAME + value: {{ .Values.webhook.uvicornHostname \| quote }} + - name: API_UVICORN_NUM_WORKERS + value: {{ .Values.webhook.uvicornNumWorkers \| quote }} + - name: API_UVICORN_PORT + value: {{ .Values.webhook.uvicornPort \| quote }} + securityContext: + allowPrivilegeEscalation: false + readinessProbe: + failureThreshold: 30 + periodSeconds: 5 + httpGet: + path: /healthcheck + port: {{ .Values.webhook.uvicornPort }} + livenessProbe: + failureThreshold: 30 + periodSeconds: 5 + httpGet: + path: /healthcheck + port: {{ .Values.webhook.uvicornPort }} + ports: + - containerPort: {{ .Values.webhook.uvicornPort }} + name: http + protocol: TCP + resources: + {{ toYaml .Values.webhook.resources \| nindent 4 }} +{{- end -}} diff --git a/chart/templates/services/webhook/deployment.yaml b/chart/templates/services/webhook/deployment.yaml new file mode 100644 index 00000000..145c2ee0 --- /dev/null +++ b/chart/templates/services/webhook/deployment.yaml @@ -0,0 +1,30 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +apiVersion: apps/v1 +kind: Deployment +metadata: + labels: {{ include "labels.webhook" . \| nindent 4 }} + name: "{{ include "name" . }}-webhook" + namespace: {{ .Release.Namespace }} +spec: + progressDeadlineSeconds: 600 + replicas: {{ .Values.webhook.replicas }} + revisionHistoryLimit: 10 + selector: + matchLabels: {{ include "labels.webhook" . \| nindent 6 }} + strategy: + rollingUpdate: + maxSurge: 25% + maxUnavailable: 25% + type: RollingUpdate + template: + metadata: + labels: {{ include "labels.webhook" . \| nindent 8 }} + spec: + {{- include "dnsConfig" . \| nindent 6 }} + {{- include "image.imagePullSecrets" . \| nindent 6 }} + containers: {{ include "containerWebhook" . \| nindent 8 }} + nodeSelector: {{ toYaml .Values.webhook.nodeSelector \| nindent 8 }} + tolerations: {{ toYaml .Values.webhook.tolerations \| nindent 8 }} + securityContext: {{ include "securityContext" . \| nindent 8 }} diff --git a/chart/templates/services/webhook/ingress.yaml b/chart/templates/services/webhook/ingress.yaml new file mode 100644 index 00000000..7fdc9289 --- /dev/null +++ b/chart/templates/services/webhook/ingress.yaml @@ -0,0 +1,23 @@ +{{- if and .Values.global.huggingface.ingress.enabled .Values.ingress.enabled .Values.webhook.ingress.enabled -}} +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + {{- $annotations := fromYaml (include "datasetsServer.instance.ingress.annotations" (dict "instance" .Values.webhook "context" $ )) }} + annotations: {{ toYaml $annotations \| nindent 4}} + labels: {{ include "labels.webhook" . \| nindent 4 }} + name: "{{ include "name" . }}-webhook" + namespace: {{ .Release.Namespace }} +spec: + rules: + - host: {{ include "datasetsServer.ingress.hostname" . }} + http: + paths: + - backend: + service: + name: "{{ include "name" . }}-webhook" + port: + name: http + path: /webhook + pathType: Prefix +{{- include "ingress.tls" (merge (dict "annotations" $annotations) $ ) \| indent 2}} +{{- end }} diff --git a/chart/templates/services/webhook/pdb.yaml b/chart/templates/services/webhook/pdb.yaml new file mode 100644 index 00000000..5a79f613 --- /dev/null +++ b/chart/templates/services/webhook/pdb.yaml @@ -0,0 +1,10 @@ +apiVersion: policy/v1 +kind: PodDisruptionBudget +metadata: + labels: {{ include "labels.webhook" . \| nindent 4 }} + name: "{{ include "name" . }}-webhook" + namespace: {{ .Release.Namespace }} +spec: + maxUnavailable: 1 + selector: + matchLabels: {{ include "labels.webhook" . \| nindent 6 }} diff --git a/chart/templates/services/webhook/service.yaml b/chart/templates/services/webhook/service.yaml new file mode 100644 index 00000000..686633e7 --- /dev/null +++ b/chart/templates/services/webhook/service.yaml @@ -0,0 +1,22 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +{{ $serviceType := .Values.webhook.service.type \| default .Values.global.huggingface.service.type }} +apiVersion: v1 +kind: Service +metadata: + name: "{{ include "name" . }}-webhook" + annotations: {{ toYaml .Values.webhook.service.annotations \| nindent 4 }} + namespace: {{ .Release.Namespace }} + labels: {{ include "labels.webhook" . \| nindent 4 }} +spec: + ports: + - name: http + port: 80 + protocol: TCP + {{- if eq "NodePort" $serviceType }} + nodePort: {{ .Values.global.huggingface.service.ports.datasetsServer.webhook }} + {{- end }} + targetPort: {{ .Values.webhook.uvicornPort }} + selector: {{ include "labels.webhook" . \| nindent 4 }} + type: {{ $serviceType }} diff --git a/chart/templates/services/webhook/servicemonitor.yaml b/chart/templates/services/webhook/servicemonitor.yaml new file mode 100644 index 00000000..a3e14cc4 --- /dev/null +++ b/chart/templates/services/webhook/servicemonitor.yaml @@ -0,0 +1,20 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +{{- if .Values.monitoring.enabled }} +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + labels: {{ include "labels.webhook" . \| nindent 4 }} + name: "{{ include "name" . }}-webhook" + namespace: {{ .Release.Namespace }} +spec: + endpoints: + - path: /metrics + port: http + namespaceSelector: + matchNames: + - {{ .Release.Namespace }} + selector: + matchLabels: {{ include "labels.webhook" . \| nindent 6 }} +{{- end }} diff --git a/chart/values.yaml b/chart/values.yaml index ab02ceea..ec7eef8e 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -21,0 +22 @@ global: + webhook: 30026 @@ -72,0 +74,5 @@ images: + webhook: + registry: huggingface + useGlobalRegistry: false + repository: datasets-server-services-webhook + tag: sha-fb3399a @@ -580,0 +587,30 @@ workers: + +webhook: + # 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 + + nodeSelector: {} + replicas: 1 + resources: + requests: + cpu: 0 + limits: + cpu: 0 + service: + type: "" + annotations: {} + ingress: + enabled: true + annotations: {} + tolerations: [] diff --git a/e2e/tests/utils.py b/e2e/tests/utils.py index 85f05abf..3a3ef992 100644 --- a/e2e/tests/utils.py +++ b/e2e/tests/utils.py @@ -25,0 +26 @@ WORKER_UVICORN_PORT = os.environ.get("WORKER_UVICORN_PORT", "8086") +WEBHOOK_UVICORN_PORT = os.environ.get("WORKER_UVICORN_PORT", "8087") @@ -34,0 +36 @@ WORKER_URL = f"http://localhost:{WORKER_UVICORN_PORT}" +WEBHOOK_URL = f"http://localhost:{WEBHOOK_UVICORN_PORT}" diff --git a/libs/libapi/README.md b/libs/libapi/README.md index 39180714..a5d1e0dd 100644 --- a/libs/libapi/README.md +++ b/libs/libapi/README.md @@ -9,0 +10 @@ Used by the following services: +- [webhook](https://github.com/huggingface/dataset-viewer/tree/main/services/webhook) diff --git a/services/api/README.md b/services/api/README.md index 32a04c5b..f5fe3976 100644 --- a/services/api/README.md +++ b/services/api/README.md @@ -23 +22,0 @@ See https://huggingface.co/docs/datasets-server -- /webhook: Add, update or remove a dataset diff --git a/services/api/src/api/app.py b/services/api/src/api/app.py index 096c24a8..e6de9ef5 100644 --- a/services/api/src/api/app.py +++ b/services/api/src/api/app.py @@ -24 +23,0 @@ from api.routes.endpoint import EndpointsDefinition, create_endpoint -from api.routes.webhook import create_webhook_endpoint @@ -108,13 +106,0 @@ def create_app_with_config(app_config: AppConfig, endpoint_config: EndpointConfi - Route( - "/webhook", - endpoint=create_webhook_endpoint( - hf_webhook_secret=app_config.api.hf_webhook_secret, - blocked_datasets=app_config.common.blocked_datasets, - hf_endpoint=app_config.common.hf_endpoint, - hf_token=app_config.common.hf_token, - hf_timeout_seconds=app_config.api.hf_timeout_seconds, - storage_clients=storage_clients, - ), - methods=["POST"], - ), - # ^ called by the Hub webhooks diff --git a/services/api/tests/test_app_real.py b/services/api/tests/test_app_real.py index 4bdca85a..83225f42 100644 --- a/services/api/tests/test_app_real.py +++ b/services/api/tests/test_app_real.py @@ -6 +6 @@ from collections.abc import Iterator -from pytest import MonkeyPatch, fixture, mark +from pytest import MonkeyPatch, fixture @@ -12,2 +11,0 @@ from api.config import AppConfig -API_HF_WEBHOOK_SECRET = "some secret" - @@ -23 +20,0 @@ def real_monkeypatch() -> Iterator[MonkeyPatch]: - monkeypatch.setenv("API_HF_WEBHOOK_SECRET", API_HF_WEBHOOK_SECRET) @@ -41,24 +37,0 @@ def real_app_config(real_monkeypatch: MonkeyPatch) -> AppConfig: - - [email protected]_dataset -def test_webhook_untrusted( - real_client: TestClient, -) -> None: - payload = { - "event": "add", - "repo": {"type": "dataset", "name": "nyu-mll/glue", "gitalyUid": "123", "headSha": "revision"}, - "scope": "repo", - } - response = real_client.post("/webhook", json=payload) - assert response.status_code == 400, response.text - - [email protected]_dataset -def test_webhook_trusted(real_client: TestClient) -> None: - payload = { - "event": "add", - "repo": {"type": "dataset", "name": "nyu-mll/glue", "gitalyUid": "123", "headSha": "revision"}, - "scope": "repo", - } - response = real_client.post("/webhook", json=payload, headers={"x-webhook-secret": API_HF_WEBHOOK_SECRET}) - assert response.status_code == 200, response.text diff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md index 4d316697..8dd0f2df 100644 --- a/services/reverse-proxy/README.md +++ b/services/reverse-proxy/README.md @@ -24,0 +25 @@ It takes various environment variables, all of them are mandatory: +- `URL_WEBHOOK`: URL of the webhook service, eg `http://webhook:8087` diff --git a/services/reverse-proxy/nginx-templates/default.conf.template b/services/reverse-proxy/nginx-templates/default.conf.template index 92bb5ad3..0b75056c 100644 --- a/services/reverse-proxy/nginx-templates/default.conf.template +++ b/services/reverse-proxy/nginx-templates/default.conf.template @@ -94,0 +95,9 @@ server { + location /webhook { + proxy_pass ${URL_WEBHOOK}/webhook; + 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 $scheme; + proxy_http_version 1.1; + } + diff --git a/services/webhook/.python-version b/services/webhook/.python-version new file mode 100644 index 00000000..43077b24 --- /dev/null +++ b/services/webhook/.python-version @@ -0,0 +1 @@ +3.9.18 diff --git a/services/webhook/Dockerfile b/services/webhook/Dockerfile new file mode 100644 index 00000000..86cc554a --- /dev/null +++ b/services/webhook/Dockerfile @@ -0,0 +1,34 @@ +# build with +# docker build -t some_tag_api -f Dockerfile ../.. +FROM python:3.9.18-slim + +ENV PYTHONFAULTHANDLER=1 \ + PYTHONUNBUFFERED=1 \ + PYTHONHASHSEED=random \ + PIP_NO_CACHE_DIR=1 \ + PIP_DISABLE_PIP_VERSION_CHECK=on \ + PIP_DEFAULT_TIMEOUT=100 \ + POETRY_NO_INTERACTION=1 \ + # Versions: + POETRY_VERSION=1.8.2 \ + POETRY_VIRTUALENVS_IN_PROJECT=true \ + PATH="$PATH:/root/.local/bin" + +# System deps: +RUN apt-get update \ + && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && rm -rf /var/lib/apt/lists/* +RUN pip install -U pip +RUN pip install "poetry==$POETRY_VERSION" + +WORKDIR /src +COPY services/webhook/poetry.lock ./services/webhook/poetry.lock +COPY services/webhook/pyproject.toml ./services/webhook/pyproject.toml +COPY libs/libcommon ./libs/libcommon +COPY libs/libapi ./libs/libapi +WORKDIR /src/services/webhook/ +RUN poetry install --no-cache +COPY services/webhook/src ./src +RUN poetry install --no-cache + +ENTRYPOINT ["poetry", "run", "python", "src/webhook/main.py"] diff --git a/services/webhook/Makefile b/services/webhook/Makefile new file mode 100644 index 00000000..883efb30 --- /dev/null +++ b/services/webhook/Makefile @@ -0,0 +1,32 @@ +# environment variables for the commands (docker compose, poetry) +export COMPOSE_PROJECT_NAME := webhook +export MONGO_PORT := 27036 +export CACHE_MONGO_URL := mongodb://localhost:${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/webhook/main.py + +.PHONY: watch +watch: + $(POETRY) run watchmedo auto-restart -d src/webhook -p ".py" -R python src/webhook/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) down + $(MAKE) up + $(POETRY) run python -m pytest -vv -x ${ADDOPTS} $(TEST_PATH) + rm -rf /tmp/webhook.prometheus + mkdir /tmp/webhook.prometheus + PROMETHEUS_MULTIPROC_DIR=/tmp/webhook.prometheus $(POETRY) run python -m pytest -vv -x -k "test_metrics" ${ADDOPTS} $(TEST_PATH) + rm -rf /tmp/webhook.prometheus + $(MAKE) down diff --git a/services/webhook/README.md b/services/webhook/README.md new file mode 100644 index 00000000..bb816b19 --- /dev/null +++ b/services/webhook/README.md @@ -0,0 +1,21 @@ +# Dataset viewer API - webhook endpoint + +## Configuration + +The service can be configured using environment variables. They are grouped by scope. + +### API service + +See [../../libs/libapi/README.md](../../libs/libapi/README.md) for more information about the API configuration. + +### Common + +See [../../libs/libcommon/README.md](../../libs/libcommon/README.md) for more information about the common configuration. + +## Endpoints + +See https://huggingface.co/docs/datasets-server + +- /healthcheck: Ensure the app is running +- /metrics: Return a list of metrics in the Prometheus format +- /webhook: Add, update or remove a dataset diff --git a/services/webhook/dev.Dockerfile b/services/webhook/dev.Dockerfile new file mode 100644 index 00000000..f8a5e0cf --- /dev/null +++ b/services/webhook/dev.Dockerfile @@ -0,0 +1,49 @@ +# build with +# docker build -t some_tag_api -f Dockerfile ../.. +FROM python:3.9.18-slim + +ENV PYTHONFAULTHANDLER=1 \ + PYTHONUNBUFFERED=1 \ + PYTHONHASHSEED=random \ + PIP_NO_CACHE_DIR=1 \ + PIP_DISABLE_PIP_VERSION_CHECK=on \ + PIP_DEFAULT_TIMEOUT=100 \ + POETRY_NO_INTERACTION=1 \ + # Versions: + POETRY_VERSION=1.8.2 \ + POETRY_VIRTUALENVS_IN_PROJECT=true \ + PATH="$PATH:/root/.local/bin" + +# System deps: +RUN apt-get update \ + && apt-get install -y unzip wget procps htop ffmpeg libavcodec-extra libsndfile1 \ + && 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/webhook/poetry.lock ./services/webhook/poetry.lock +COPY services/webhook/pyproject.toml ./services/webhook/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/webhook/ +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 webhook package. +# Mapping a volume to ./services/webhook/src is required when running this image. +ENTRYPOINT ["/bin/sh", "-c" , "poetry install --only-root && poetry run python src/webhook/main.py"] diff --git a/services/webhook/poetry.lock b/services/webhook/poetry.lock new file mode 100644 index 00000000..2245b14e --- /dev/null +++ b/services/webhook/poetry.lock @@ -0,0 +1,3250 @@ +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. + +[[package]] +name = "aiobotocore" +version = "2.7.0" +description = "Async client for aws services using botocore and aiohttp" +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiobotocore-2.7.0-py3-none-any.whl", hash = "sha256:aec605df77ce4635a0479b50fd849aa6b640900f7b295021ecca192e1140e551"}, + {file = "aiobotocore-2.7.0.tar.gz", hash = "sha256:506591374cc0aee1bdf0ebe290560424a24af176dfe2ea7057fe1df97c4f0467"}, +] + +[package.dependencies] +aiohttp = ">=3.7.4.post0,<4.0.0" +aioitertools = ">=0.5.1,<1.0.0" +botocore = ">=1.31.16,<1.31.65" +wrapt = ">=1.10.10,<2.0.0" + +[package.extras] +awscli = ["awscli (>=1.29.16,<1.29.65)"] +boto3 = ["boto3 (>=1.28.16,<1.28.65)"] + +[[package]] +name = "aiohttp" +version = "3.9.4" +description = "Async http client/server framework (asyncio)" +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiohttp-3.9.4-cp310-cp310-macosx_10_9_universal2.whl", hash = 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@@ -0,0 +1,65 @@ +[tool.poetry] +authors = ["The HuggingFace Authors."] +description = "webhook app" +name = "webhook" +version = "0.1.3" +license = "Apache-2.0" + +[tool.poetry.dependencies] +python = "3.9.18" +environs = "^9.5.0" +jsonschema = "^4.17.0" +libapi = {path = "../../libs/libapi", develop = true} +uvicorn = "^0.20.0" +watchdog = { extras = ["watchmedo"], version = "^2.2.1" } + +[tool.poetry.group.dev.dependencies] +bandit = "^1.7.4" +mypy = "^1.8.0" +pandas-stubs = "^1.5.3" +pip-audit = "^2.5.4" +pytest = "^7.2.1" +ruff = "^0" +types-jsonschema = "^4.17.0.4" +types-psutil = "^5.9.5" + +[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" +] + +[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 + +[tool.ruff] +line-length = 119 +src = ["src"] +target-version = "py39" + +[tool.ruff.lint] +extend-select = [ + "ARG", # flake8-unused-arguments + "I", # isort + # flake8-pep585: + "UP006", # non-pep585-annotation + "UP035", # deprecated-import +] diff --git a/services/webhook/src/webhook/__init__.py b/services/webhook/src/webhook/__init__.py new file mode 100644 index 00000000..be63d975 --- /dev/null +++ b/services/webhook/src/webhook/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. diff --git a/services/webhook/src/webhook/app.py b/services/webhook/src/webhook/app.py new file mode 100644 index 00000000..d5a4026c --- /dev/null +++ b/services/webhook/src/webhook/app.py @@ -0,0 +1,102 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +import uvicorn +from libapi.config import UvicornConfig +from libapi.routes.healthcheck import healthcheck_endpoint +from libapi.routes.metrics import create_metrics_endpoint +from libapi.utils import EXPOSED_HEADERS +from libcommon.cloudfront import get_cloudfront_signer +from libcommon.log import init_logging +from libcommon.resources import CacheMongoResource, QueueMongoResource, Resource +from libcommon.storage_client import StorageClient +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 webhook.config import AppConfig +from webhook.routes.webhook import create_webhook_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 + + middleware = [ + Middleware( + CORSMiddleware, + allow_origins=[""], + allow_methods=[""], + allow_headers=[""], + allow_credentials=True, + expose_headers=EXPOSED_HEADERS, + ), + Middleware(GZipMiddleware), + Middleware(PrometheusMiddleware, filter_unhandled_paths=True), + ] + + cached_assets_storage_client = StorageClient( + protocol=app_config.cached_assets.storage_protocol, + storage_root=app_config.cached_assets.storage_root, + base_url=app_config.cached_assets.base_url, + s3_config=app_config.s3, + # no need to specify a url_signer + ) + + url_signer = get_cloudfront_signer(cloudfront_config=app_config.cloudfront) + assets_storage_client = StorageClient( + protocol=app_config.assets.storage_protocol, + storage_root=app_config.assets.storage_root, + base_url=app_config.assets.base_url, + s3_config=app_config.s3, + url_signer=url_signer, + ) + storage_clients = [cached_assets_storage_client, assets_storage_client] + + 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( + "/webhook", + endpoint=create_webhook_endpoint( + hf_webhook_secret=app_config.api.hf_webhook_secret, + blocked_datasets=app_config.common.blocked_datasets, + hf_endpoint=app_config.common.hf_endpoint, + hf_token=app_config.common.hf_token, + hf_timeout_seconds=app_config.api.hf_timeout_seconds, + storage_clients=storage_clients, + ), + methods=["POST"], + ), + # ^ called by the Hub webhooks + ] + + 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/webhook/src/webhook/config.py b/services/webhook/src/webhook/config.py new file mode 100644 index 00000000..17c520d7 --- /dev/null +++ b/services/webhook/src/webhook/config.py @@ -0,0 +1,44 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from dataclasses import dataclass, field + +from libapi.config import ApiConfig +from libcommon.config import ( + AssetsConfig, + CacheConfig, + CachedAssetsConfig, + CloudFrontConfig, + CommonConfig, + LogConfig, + QueueConfig, + S3Config, +) + + +@dataclass(frozen=True) +class AppConfig: + api: ApiConfig = field(default_factory=ApiConfig) + assets: AssetsConfig = field(default_factory=AssetsConfig) + cache: CacheConfig = field(default_factory=CacheConfig) + cached_assets: CachedAssetsConfig = field(default_factory=CachedAssetsConfig) + cloudfront: CloudFrontConfig = field(default_factory=CloudFrontConfig) + common: CommonConfig = field(default_factory=CommonConfig) + log: LogConfig = field(default_factory=LogConfig) + queue: QueueConfig = field(default_factory=QueueConfig) + s3: S3Config = field(default_factory=S3Config) + + @classmethod + def from_env(cls) -> "AppConfig": + common_config = CommonConfig.from_env() + return cls( + common=common_config, + assets=AssetsConfig.from_env(), + cache=CacheConfig.from_env(), + cached_assets=CachedAssetsConfig.from_env(), + cloudfront=CloudFrontConfig.from_env(), + log=LogConfig.from_env(), + queue=QueueConfig.from_env(), + api=ApiConfig.from_env(hf_endpoint=common_config.hf_endpoint), + s3=S3Config.from_env(), + ) diff --git a/services/webhook/src/webhook/main.py b/services/webhook/src/webhook/main.py new file mode 100644 index 00000000..763386b7 --- /dev/null +++ b/services/webhook/src/webhook/main.py @@ -0,0 +1,7 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from webhook.app import start + +if __name__ == "__main__": + start() diff --git a/services/webhook/src/webhook/py.typed b/services/webhook/src/webhook/py.typed new file mode 100644 index 00000000..e69de29b diff --git a/services/webhook/src/webhook/routes/__init__.py b/services/webhook/src/webhook/routes/__init__.py new file mode 100644 index 00000000..1e9d0c5a --- /dev/null +++ b/services/webhook/src/webhook/routes/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. diff --git a/services/api/src/api/routes/webhook.py b/services/webhook/src/webhook/routes/webhook.py similarity index 100% rename from services/api/src/api/routes/webhook.py rename to services/webhook/src/webhook/routes/webhook.py diff --git a/services/webhook/tests/__init__.py b/services/webhook/tests/__init__.py new file mode 100644 index 00000000..be63d975 --- /dev/null +++ b/services/webhook/tests/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. diff --git a/services/webhook/tests/conftest.py b/services/webhook/tests/conftest.py new file mode 100644 index 00000000..09e5d585 --- /dev/null +++ b/services/webhook/tests/conftest.py @@ -0,0 +1,74 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from collections.abc import Iterator + +import pytest +from libapi.config import UvicornConfig +from libcommon.queue import _clean_queue_database +from libcommon.resources import CacheMongoResource, QueueMongoResource +from libcommon.simple_cache import _clean_cache_database +from pytest import MonkeyPatch, fixture + +from webhook.config import AppConfig + + +# see https://github.com/pytest-dev/pytest/issues/363#issuecomment-406536200 +@fixture(scope="session") +def monkeypatch_session(tmp_path_factory: pytest.TempPathFactory) -> Iterator[MonkeyPatch]: + monkeypatch_session = MonkeyPatch() + assets_root = str(tmp_path_factory.mktemp("assets_root")) + monkeypatch_session.setenv("CACHED_ASSETS_STORAGE_ROOT", assets_root) + monkeypatch_session.setenv("ASSETS_STORAGE_ROOT", assets_root) + monkeypatch_session.setenv("CACHE_MONGO_DATABASE", "dataset_viewer_cache_test") + monkeypatch_session.setenv("QUEUE_MONGO_DATABASE", "dataset_viewer_queue_test") + 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(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 diff --git a/services/webhook/tests/routes/__init__.py b/services/webhook/tests/routes/__init__.py new file mode 100644 index 00000000..be63d975 --- /dev/null +++ b/services/webhook/tests/routes/__init__.py @@ -0,0 +1,2 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2024 The HuggingFace Authors. diff --git a/services/api/tests/routes/test_webhook.py b/services/webhook/tests/routes/test_webhook.py similarity index 96% rename from services/api/tests/routes/test_webhook.py rename to services/webhook/tests/routes/test_webhook.py index 582489a9..74f7470a 100644 --- a/services/api/tests/routes/test_webhook.py +++ b/services/webhook/tests/routes/test_webhook.py @@ -10 +10 @@ import pytest -from api.routes.webhook import MoonWebhookV2Payload, parse_payload, process_payload +from webhook.routes.webhook import MoonWebhookV2Payload, parse_payload, process_payload @@ -184,2 +184,2 @@ def test_process_payload( - with patch("api.routes.webhook.delete_dataset") as mock_delete_dataset: - with patch("api.routes.webhook.update_dataset") as mock_update_dataset: + with patch("webhook.routes.webhook.delete_dataset") as mock_delete_dataset: + with patch("webhook.routes.webhook.update_dataset") as mock_update_dataset: diff --git a/services/webhook/tests/test_app.py b/services/webhook/tests/test_app.py new file mode 100644 index 00000000..d5472cbd --- /dev/null +++ b/services/webhook/tests/test_app.py @@ -0,0 +1,71 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + + +import pytest +from starlette.testclient import TestClient + +from webhook.app import create_app_with_config +from webhook.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( + "/webhook", + 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_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 + starlette_requests_metric = 'starlette_requests_total{method="GET",path_template="/metrics"}' + steps_processing_time_metric = ( + 'method_steps_processing_time_seconds_sum{context="None",method="healthcheck_endpoint",step="all"}' + ) + for name in [starlette_requests_metric, steps_processing_time_metric]: + assert name in metrics, metrics + assert metrics[name] > 0, metrics diff --git a/services/webhook/tests/test_app_real.py b/services/webhook/tests/test_app_real.py new file mode 100644 index 00000000..288df0d5 --- /dev/null +++ b/services/webhook/tests/test_app_real.py @@ -0,0 +1,64 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2022 The HuggingFace Authors. + +from collections.abc import Iterator + +from pytest import MonkeyPatch, fixture, mark +from starlette.testclient import TestClient + +from webhook.app import create_app +from webhook.config import AppConfig + +API_HF_WEBHOOK_SECRET = "some secret" + + +# see https://github.com/pytest-dev/pytest/issues/363#issuecomment-406536200 +@fixture(scope="module") +def real_monkeypatch() -> Iterator[MonkeyPatch]: + monkeypatch = MonkeyPatch() + monkeypatch.setenv("CACHE_MONGO_DATABASE", "dataset_viewer_cache_test") + monkeypatch.setenv("QUEUE_MONGO_DATABASE", "dataset_viewer_queue_test") + monkeypatch.setenv("COMMON_HF_ENDPOINT", "https://huggingface.co") + monkeypatch.setenv("COMMON_HF_TOKEN", "") + monkeypatch.setenv("API_HF_WEBHOOK_SECRET", API_HF_WEBHOOK_SECRET) + yield monkeypatch + monkeypatch.undo() + + +@fixture(scope="module") +def real_client(real_monkeypatch: MonkeyPatch) -> TestClient: + return TestClient(create_app()) + + +@fixture(scope="module") +def real_app_config(real_monkeypatch: 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") + if app_config.common.hf_endpoint != "https://huggingface.co": + raise ValueError("Test must be launched on the production hub") + return app_config + + [email protected]_dataset +def test_webhook_untrusted( + real_client: TestClient, +) -> None: + payload = { + "event": "add", + "repo": {"type": "dataset", "name": "nyu-mll/glue", "gitalyUid": "123", "headSha": "revision"}, + "scope": "repo", + } + response = real_client.post("/webhook", json=payload) + assert response.status_code == 400, response.text + + [email protected]_dataset +def test_webhook_trusted(real_client: TestClient) -> None: + payload = { + "event": "add", + "repo": {"type": "dataset", "name": "nyu-mll/glue", "gitalyUid": "123", "headSha": "revision"}, + "scope": "repo", + } + response = real_client.post("/webhook", json=payload, headers={"x-webhook-secret": API_HF_WEBHOOK_SECRET}) + assert response.status_code == 200, response.text diff --git a/tools/docker-compose-dataset-viewer.yml b/tools/docker-compose-dataset-viewer.yml index 43c45a6c..81ec2d2b 100644 --- a/tools/docker-compose-dataset-viewer.yml +++ b/tools/docker-compose-dataset-viewer.yml @@ -19,0 +20 @@ services: + URL_WEBHOOK: http://webhook:${WEBHOOK_UVICORN_PORT-8087} @@ -224,0 +226,23 @@ services: + webhook: + build: + context: .. + dockerfile: services/webhook/Dockerfile + volumes: + - storage:${STORAGE_DIRECTORY-/storage}:rw + extends: + file: docker-compose-base.yml + service: libapi + environment: + # prometheus + PROMETHEUS_MULTIPROC_DIR: ${PROMETHEUS_MULTIPROC_DIR-} + # uvicorn + API_UVICORN_HOSTNAME: 0.0.0.0 # required for docker compose + API_UVICORN_NUM_WORKERS: ${WEBHOOK_UVICORN_NUM_WORKERS-2} + API_UVICORN_PORT: ${WEBHOOK_UVICORN_PORT-8087} + ports: + # for debug + - ${WEBHOOK_UVICORN_PORT-8087}:${WEBHOOK_UVICORN_PORT-8087} + depends_on: + mongodb: + condition: service_healthy + restart: unless-stopped diff --git a/tools/docker-compose-dev-dataset-viewer.yml b/tools/docker-compose-dev-dataset-viewer.yml index 668d433a..68169b96 100644 --- a/tools/docker-compose-dev-dataset-viewer.yml +++ b/tools/docker-compose-dev-dataset-viewer.yml @@ -19,0 +20 @@ services: + URL_WEBHOOK: http://host.docker.internal:${WEBHOOK_UVICORN_PORT-8087} @@ -243,0 +245,24 @@ services: + webhook: + build: + context: .. + dockerfile: services/webhook/dev.Dockerfile + volumes: + - storage:${STORAGE_DIRECTORY-/storage}:rw + # volumes to local source directory for development + - ../services/webhook/src:/src/services/webhook/src + extends: + file: docker-compose-dev-base.yml + service: libapi + environment: + # prometheus + PROMETHEUS_MULTIPROC_DIR: ${PROMETHEUS_MULTIPROC_DIR-} + # uvicorn + API_UVICORN_HOSTNAME: 0.0.0.0 # required for docker compose + API_UVICORN_NUM_WORKERS: ${WEBHOOK_UVICORN_NUM_WORKERS-2} + API_UVICORN_PORT: ${WEBHOOK_UVICORN_PORT-8087} + ports: + - ${WEBHOOK_UVICORN_PORT-8087}:${WEBHOOK_UVICORN_PORT-8087} + depends_on: + mongodb: + condition: service_healthy + restart: unless-stopped
6efa88b287a16732c1ea9cbc63a9bb889d8447ad	Quentin Lhoest	[email protected]	2024-05-22T14:17:29	fix admin ui deps (#2850)	diff --git a/front/admin_ui/requirements.txt b/front/admin_ui/requirements.txt index 679bc47a..406eb0d5 100644 --- a/front/admin_ui/requirements.txt +++ b/front/admin_ui/requirements.txt @@ -2 +2,5 @@ gradio>=4.19.2,<5 -libcommon @ git+https://github.com/huggingface/dataset-viewer@main#subdirectory=libs/libcommon +altair==5.0.1 +aiobotocore==2.7.0 +botocore==1.31.64 +s3fs==2024.3.1 +libcommon @ git+https://github.com/huggingface/datasets-server@main#subdirectory=libs/libcommon
65f2d23464292d7f8d6d9626cf4ad9f8b24a325c	Remy	[email protected]	2024-05-21T20:18:41	fix(chart): add kube tolerations (#2847)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 29501ad4..cf1bb7f8 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -166,0 +167,4 @@ mongodbMigration: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -177,0 +182,4 @@ deleteDuckdbIndexes: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -193,0 +202,4 @@ backfill: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -210,0 +223,4 @@ backfillRetryableErrors: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -221,0 +238,4 @@ postMessages: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -228,0 +249,4 @@ queueMetricsCollector: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -241,0 +266,4 @@ cacheMetricsCollector: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -281,0 +310,4 @@ admin: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -307,0 +340,4 @@ api: + tolerations: + - key: "huggingface.co/datasets-server-api" + operator: "Exists" + effect: "NoSchedule" @@ -332,0 +369,4 @@ rows: + tolerations: + - key: "huggingface.co/datasets-server-rows" + operator: "Exists" + effect: "NoSchedule" @@ -356,0 +397,4 @@ search: + tolerations: + - key: "huggingface.co/datasets-server-search" + operator: "Exists" + effect: "NoSchedule" @@ -381,0 +426,4 @@ sseApi: + tolerations: + - key: "huggingface.co/datasets-server" + operator: "Exists" + effect: "NoSchedule" @@ -409,0 +458,4 @@ workers: + tolerations: + - key: "huggingface.co/datasets-server-worker" + operator: "Exists" + effect: "NoSchedule" @@ -426 +477,0 @@ workers: - tolerations: [] @@ -437,0 +489,4 @@ workers: + tolerations: + - key: "huggingface.co/datasets-server-worker" + operator: "Exists" + effect: "NoSchedule" @@ -454 +508,0 @@ workers: - tolerations: [] @@ -465,0 +520,4 @@ workers: + tolerations: + - key: "huggingface.co/datasets-server-worker-light" + operator: "Exists" + effect: "NoSchedule" @@ -482 +539,0 @@ workers: - tolerations: []
43f7605ab9a5087f3832f126bbd1072d697fc310	Sylvain Lesage	[email protected]	2024-05-21T19:42:29	allow dataset viewer on private NFAA datasets for Pro and Enterprise Hub (#2835)	diff --git a/libs/libcommon/src/libcommon/operations.py b/libs/libcommon/src/libcommon/operations.py index 2429d245..d66b52d4 100644 --- a/libs/libcommon/src/libcommon/operations.py +++ b/libs/libcommon/src/libcommon/operations.py @@ -160,0 +161,3 @@ def get_latest_dataset_revision_if_supported_or_raise( + elif dataset_info.tags and any(tag in TAG_NFAA_SYNONYMS for tag in dataset_info.tags): + # ^ the public NFAA datasets are disabled + raise NotSupportedTagNFAAError("Not supported: dataset viewer is disabled.") @@ -163,2 +165,0 @@ def get_latest_dataset_revision_if_supported_or_raise( - if dataset_info.tags and any(tag in TAG_NFAA_SYNONYMS for tag in dataset_info.tags): - raise NotSupportedTagNFAAError("Not supported: dataset viewer is disabled.") diff --git a/libs/libcommon/tests/test_operations.py b/libs/libcommon/tests/test_operations.py index f0d0223a..629ecec5 100644 --- a/libs/libcommon/tests/test_operations.py +++ b/libs/libcommon/tests/test_operations.py @@ -237,0 +238,10 @@ def test_update_disabled_dataset_raises_way_2( [email protected]( + "tags", + [ + None, + [], + ["perfectly-fine-tag"], + TAG_NFAA_SYNONYMS, + ], + # ^ for Pro and Enterprise Hub, private NFAA datasets are allowed +) @@ -247,0 +258 @@ def test_update_private( + tags: Optional[list[str]], @@ -251 +262 @@ def test_update_private( - with tmp_dataset(namespace=namespace, token=token, private=True) as dataset: + with tmp_dataset(namespace=namespace, token=token, private=True, tags=tags) as dataset: @@ -254,0 +266,33 @@ def test_update_private( [email protected]( + "tags,raises", + [ + (None, False), + ([], False), + (["perfectly-fine-tag"], False), + (TAG_NFAA_SYNONYMS, True), + ], + # ^ for Pro and Enterprise Hub, public NFAA datasets are disallowed +) [email protected]( + "token,namespace", + [ + (PRO_USER_TOKEN, PRO_USER), + (ENTERPRISE_USER_TOKEN, ENTERPRISE_ORG), + ], +) +def test_update_public_nfaa( + queue_mongo_resource: QueueMongoResource, + cache_mongo_resource: CacheMongoResource, + tags: Optional[list[str]], + raises: bool, + token: str, + namespace: str, +) -> None: + with tmp_dataset(namespace=namespace, token=token, private=False, tags=tags) as dataset: + if raises: + with pytest.raises(NotSupportedTagNFAAError): + update_dataset(dataset=dataset, hf_endpoint=CI_HUB_ENDPOINT, hf_token=CI_APP_TOKEN) + else: + update_dataset(dataset=dataset, hf_endpoint=CI_HUB_ENDPOINT, hf_token=CI_APP_TOKEN) + +
4f7501a450cfeeed7ff59ee16e06f8d98b31dbe5	Sylvain Lesage	[email protected]	2024-05-21T19:41:36	fix sse prefix, after switching from nginx proxy to ALB (#2842)	diff --git a/chart/templates/services/sse-api/_container.tpl b/chart/templates/services/sse-api/_container.tpl index 74e4b452..e4abc024 100644 --- a/chart/templates/services/sse-api/_container.tpl +++ b/chart/templates/services/sse-api/_container.tpl @@ -29 +29 @@ - path: /healthcheck + path: /sse/healthcheck @@ -35 +35 @@ - path: /healthcheck + path: /sse/healthcheck diff --git a/chart/templates/services/sse-api/servicemonitor.yaml b/chart/templates/services/sse-api/servicemonitor.yaml index fe56a2fa..6e2b6716 100644 --- a/chart/templates/services/sse-api/servicemonitor.yaml +++ b/chart/templates/services/sse-api/servicemonitor.yaml @@ -13 +13 @@ spec: - - path: /metrics + - path: /sse/metrics diff --git a/services/reverse-proxy/nginx-templates/default.conf.template b/services/reverse-proxy/nginx-templates/default.conf.template index 8a1a8d7b..92bb5ad3 100644 --- a/services/reverse-proxy/nginx-templates/default.conf.template +++ b/services/reverse-proxy/nginx-templates/default.conf.template @@ -48,0 +49 @@ server { + # no trailing slash: we keep the /admin/ prefix @@ -85,2 +86,2 @@ server { - # note the trailing slash, to remove the /sse/ prefix - proxy_pass ${URL_SSE_API}/; + # no trailing slash: we keep the /sse/ prefix + proxy_pass ${URL_SSE_API}; diff --git a/services/sse-api/README.md b/services/sse-api/README.md index c701272b..76f4fe53 100644 --- a/services/sse-api/README.md +++ b/services/sse-api/README.md @@ -15,5 +15,3 @@ See [../../libs/libcommon/README.md](../../libs/libcommon/README.md) for more in -See https://huggingface.co/docs/datasets-server - -- /healthcheck: Ensure the app is running -- /metrics: Return a list of metrics in the Prometheus format -- /hub-cache: Return a dataset information as a Server-Sent Event (SSE) when a dataset is updated. If `?all=true` is passed in the parameters, and if the cache already has some entries, one SSE per cached dataset is sent to the client. Then, a SSE is sent when a dataset is inserted, modified or deleted. The event data is a JSON with the following structure. The `hub_cache` field is null for deleted entries, or when the response is an error. The `num_rows` value is `0` if it could not be determined. +- /sse/healthcheck: Ensure the app is running +- /sse/metrics: Return a list of metrics in the Prometheus format +- /sse/hub-cache: Return a dataset information as a Server-Sent Event (SSE) when a dataset is updated. If `?all=true` is passed in the parameters, and if the cache already has some entries, one SSE per cached dataset is sent to the client. Then, a SSE is sent when a dataset is inserted, modified or deleted. The event data is a JSON with the following structure. The `hub_cache` field is null for deleted entries, or when the response is an error. The `num_rows` value is `0` if it could not be determined. diff --git a/services/sse-api/src/sse_api/app.py b/services/sse-api/src/sse_api/app.py index eb46a0e5..453d109f 100644 --- a/services/sse-api/src/sse_api/app.py +++ b/services/sse-api/src/sse_api/app.py @@ -64,3 +64,3 @@ def create_app_with_config(app_config: AppConfig) -> Starlette: - Route("/hub-cache", endpoint=create_hub_cache_endpoint(hub_cache_watcher=hub_cache_watcher)), - Route("/healthcheck", endpoint=healthcheck_endpoint), - Route("/metrics", endpoint=create_metrics_endpoint()), + Route("/sse/hub-cache", endpoint=create_hub_cache_endpoint(hub_cache_watcher=hub_cache_watcher)), + Route("/sse/healthcheck", endpoint=healthcheck_endpoint), + Route("/sse/metrics", endpoint=create_metrics_endpoint()), diff --git a/services/sse-api/tests/test_app.py b/services/sse-api/tests/test_app.py index f745a212..c730c2ba 100644 --- a/services/sse-api/tests/test_app.py +++ b/services/sse-api/tests/test_app.py @@ -66 +66 @@ async def test_get_healthcheck(client: httpx.AsyncClient) -> None: - response = await client.get("/healthcheck") + response = await client.get("/sse/healthcheck") @@ -73 +73 @@ async def test_metrics(client: httpx.AsyncClient) -> None: - response = await client.get("/metrics") + response = await client.get("/sse/metrics") @@ -85 +85 @@ async def test_metrics(client: httpx.AsyncClient) -> None: - starlette_requests_metric = 'starlette_requests_total{method="GET",path_template="/metrics"}' + starlette_requests_metric = 'starlette_requests_total{method="GET",path_template="/sse/metrics"}' @@ -373 +373 @@ async def test_hub_cache_only_updates( - await check(client, f"{APP_HOST}/hub-cache", UPDATE_ONLY_EVENTS) + await check(client, f"{APP_HOST}/sse/hub-cache", UPDATE_ONLY_EVENTS) @@ -398 +398 @@ async def test_hub_cache_only_initialization( - await check(client, f"{APP_HOST}/hub-cache{all}", expected_events) + await check(client, f"{APP_HOST}/sse/hub-cache{all}", expected_events) @@ -421 +421 @@ async def test_hub_cache_initialization_and_updates( - await check(client, f"{APP_HOST}/hub-cache{all}", expected_events) + await check(client, f"{APP_HOST}/sse/hub-cache{all}", expected_events)
b068fe40ebd799517f3cc64c7877924c0bfb3ebd	Sylvain Lesage	[email protected]	2024-05-21T19:41:26	increase the number of API pods from 12 to 20 (#2844)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 2e0b971a..29501ad4 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -308 +308 @@ api: - replicas: 12 + replicas: 20
6b88f7e3ae8feb00178d58d1281cfd85cdcc3a9d	Albert Villanova del Moral	[email protected]	2024-05-21T11:55:57	Fix the no-conversion of Opus audio files (#2841)	diff --git a/libs/libcommon/src/libcommon/viewer_utils/asset.py b/libs/libcommon/src/libcommon/viewer_utils/asset.py index 02be6c2c..0cb3f1a0 100644 --- a/libs/libcommon/src/libcommon/viewer_utils/asset.py +++ b/libs/libcommon/src/libcommon/viewer_utils/asset.py @@ -17,0 +18 @@ SUPPORTED_AUDIO_EXTENSION_TO_MEDIA_TYPE = {".wav": "audio/wav", ".mp3": "audio/m +SUPPORTED_AUDIO_EXTENSIONS = SUPPORTED_AUDIO_EXTENSION_TO_MEDIA_TYPE.keys() diff --git a/libs/libcommon/src/libcommon/viewer_utils/features.py b/libs/libcommon/src/libcommon/viewer_utils/features.py index 9b3ef580..47ad9fa7 100644 --- a/libs/libcommon/src/libcommon/viewer_utils/features.py +++ b/libs/libcommon/src/libcommon/viewer_utils/features.py @@ -31 +31 @@ from libcommon.storage_client import StorageClient -from libcommon.viewer_utils.asset import create_audio_file, create_image_file +from libcommon.viewer_utils.asset import SUPPORTED_AUDIO_EXTENSIONS, create_audio_file, create_image_file @@ -131,2 +131,4 @@ def audio( - # convert to wav if the file is not wav or mp3 already - target_audio_file_extension = audio_file_extension if audio_file_extension in [".wav", ".mp3"] else ".wav" + # convert to wav if the audio file extension is not supported + target_audio_file_extension = ( + audio_file_extension if audio_file_extension in SUPPORTED_AUDIO_EXTENSIONS else ".wav" + )
f5cbcaaca76f8c41d195c426988d91ca49e86955	Albert Villanova del Moral	[email protected]	2024-05-21T10:09:35	Update requests >= 2.32.1 to fix vulnerability (#2840)	diff --git a/docs/poetry.lock b/docs/poetry.lock index 24d90c17..d3a3ff0c 100644 --- a/docs/poetry.lock +++ b/docs/poetry.lock @@ -585 +585 @@ name = "requests" -version = "2.31.0" +version = "2.32.1" @@ -588 +588 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -590,2 +590,2 @@ files = [ - {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, - {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, + {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, + {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, diff --git a/e2e/poetry.lock b/e2e/poetry.lock index 13a7067a..f1e8b476 100644 --- a/e2e/poetry.lock +++ b/e2e/poetry.lock @@ -864 +864 @@ name = "requests" -version = "2.31.0" +version = "2.32.1" @@ -867 +867 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -869,2 +869,2 @@ files = [ - {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, - {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, + {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, + {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, @@ -1083 +1083 @@ python-versions = "3.9.18" -content-hash = "8698564e83b98f0cc98df4afe5073c535a6ed9f8b6fb9b2dda9b0e8740590c9e" +content-hash = "0004adb8f556c65e2e032f6a11667b9f4c8822141e9cd09817d5ed7c9a40ed03" diff --git a/e2e/pyproject.toml b/e2e/pyproject.toml index 640d044b..c1f841fa 100644 --- a/e2e/pyproject.toml +++ b/e2e/pyproject.toml @@ -18 +18 @@ pytest = "^7.2.1" -requests = "^2.28.2" +requests = "^2.32.1" diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index 23bd657b..3046569a 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -2096 +2095,0 @@ files = [ - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -2110 +2108,0 @@ files = [ - {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -2117 +2114,0 @@ files = [ - {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2803 +2800 @@ name = "requests" -version = "2.31.0" +version = "2.32.1" @@ -2806 +2803 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2808,2 +2805,2 @@ files = [ - {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, - {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, + {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, + {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, @@ -3021,0 +3019 @@ files = [ + {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3614 +3612 @@ python-versions = "3.9.18" -content-hash = "25a7be580ac8457d94423c8f4a88e7aa097efa1b78c9e77ffe955d8d3de3d45b" +content-hash = "cca20e2d92a46fd687d07bd71cdd1d05ffbefc81eec757e8a221ec1df0019a87" diff --git a/front/admin_ui/pyproject.toml b/front/admin_ui/pyproject.toml index c9236d18..67b34a7a 100644 --- a/front/admin_ui/pyproject.toml +++ b/front/admin_ui/pyproject.toml @@ -15 +15 @@ pygraphviz = "~1.10" -requests = "^2.31.0" +requests = "^2.32.1" diff --git a/jobs/cache_maintenance/poetry.lock b/jobs/cache_maintenance/poetry.lock index bf47f142..9a645e02 100644 --- a/jobs/cache_maintenance/poetry.lock +++ b/jobs/cache_maintenance/poetry.lock @@ -1632 +1631,0 @@ files = [ - {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1646 +1644,0 @@ files = [ - {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1653 +1650,0 @@ files = [ - {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2263 +2260 @@ name = "requests" -version = "2.31.0" +version = "2.32.1" @@ -2266 +2263 @@ optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" @@ -2268,2 +2265,2 @@ files = [ - {file = "requests-2.31.0-py3-none-any.whl", hash = "sha256:58cd2187c01e70e6e26505bca751777aa9f2ee0b7f4300988b709f44e013003f"}, - {file = "requests-2.31.0.tar.gz", hash = "sha256:942c5a758f98d790eaed1a29cb6eefc7ffb0d1cf7af05c3d2791656dbd6ad1e1"}, + {file = "requests-2.32.1-py3-none-any.whl", hash = "sha256:21ac9465cdf8c1650fe1ecde8a71669a93d4e6f147550483a2967d08396a56a5"}, + {file = "requests-2.32.1.tar.gz", hash = "sha256:eb97e87e64c79e64e5b8ac75cee9dd1f97f49e289b083ee6be96268930725685"}, @@ -2493,0 +2491 @@ 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 79c3376b..dcf0f713 100644 --- a/jobs/mongodb_migration/poetry.lock +++ b/jobs/mongodb_migration/poetry.lock @@ -1632 +1631,0 @@ files = [ - 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f57b8ed1c7b22af5a907fac16ce462001e5c28e8	Jan-Ole Nielsen	[email protected]	2024-05-21T09:38:40	added .opus as supported audio extension (#2832)	diff --git a/libs/libcommon/src/libcommon/viewer_utils/asset.py b/libs/libcommon/src/libcommon/viewer_utils/asset.py index c5ca62cd..02be6c2c 100644 --- a/libs/libcommon/src/libcommon/viewer_utils/asset.py +++ b/libs/libcommon/src/libcommon/viewer_utils/asset.py @@ -17 +17 @@ from libcommon.storage_client import StorageClient -SUPPORTED_AUDIO_EXTENSION_TO_MEDIA_TYPE = {".wav": "audio/wav", ".mp3": "audio/mpeg"} +SUPPORTED_AUDIO_EXTENSION_TO_MEDIA_TYPE = {".wav": "audio/wav", ".mp3": "audio/mpeg", ".opus": "audio/opus"} diff --git a/libs/libcommon/tests/viewer_utils/test_assets.py b/libs/libcommon/tests/viewer_utils/test_assets.py index 76d37cda..df458071 100644 --- a/libs/libcommon/tests/viewer_utils/test_assets.py +++ b/libs/libcommon/tests/viewer_utils/test_assets.py @@ -10 +10,6 @@ from libcommon.storage_client import StorageClient -from libcommon.viewer_utils.asset import create_audio_file, create_image_file, generate_object_key +from libcommon.viewer_utils.asset import ( + SUPPORTED_AUDIO_EXTENSION_TO_MEDIA_TYPE, + create_audio_file, + create_image_file, + generate_object_key, +) @@ -47,0 +53 @@ def test_create_image_file(storage_client: StorageClient, datasets_fixtures: Map [email protected]("filename_extension", [".wav", ".opus"]) @@ -49 +55,5 @@ def test_create_audio_file( - audio_file_name: str, audio_file_extension: str, shared_datadir: Path, storage_client: StorageClient + audio_file_name: str, + audio_file_extension: str, + filename_extension: str, + shared_datadir: Path, + storage_client: StorageClient, @@ -52,0 +63,2 @@ def test_create_audio_file( + filename = "audio" + filename_extension + mime_type = SUPPORTED_AUDIO_EXTENSION_TO_MEDIA_TYPE[filename_extension] @@ -62 +74 @@ def test_create_audio_file( - filename="audio.wav", + filename=filename, @@ -65 +77 @@ def test_create_audio_file( - audio_key = "dataset/--/revision/--/config/split/7/col/audio.wav" + audio_key = "dataset/--/revision/--/config/split/7/col/" + filename @@ -69 +81 @@ def test_create_audio_file( - "type": "audio/wav", + "type": mime_type,
9b6707997a937243a06c2555f06a66d46acc727c	Quentin Lhoest	[email protected]	2024-05-18T13:55:31	fix spacy model name (#2838)	diff --git a/services/worker/Dockerfile b/services/worker/Dockerfile index e0dc7a24..a55c87cf 100644 --- a/services/worker/Dockerfile +++ b/services/worker/Dockerfile @@ -34 +34 @@ RUN poetry install --no-cache -RUN poetry run python -m spacy download en_core_web_sm +RUN poetry run python -m spacy download en_core_web_lg diff --git a/services/worker/dev.Dockerfile b/services/worker/dev.Dockerfile index 24618df2..f0e46faf 100644 --- a/services/worker/dev.Dockerfile +++ b/services/worker/dev.Dockerfile @@ -41 +41 @@ RUN --mount=type=cache,target=/home/.cache/pypoetry/cache \ -RUN poetry run python -m spacy download en_core_web_sm +RUN poetry run python -m spacy download en_core_web_lg
5a04d6972d79911d92ce55f4fd60ab101e76a16d	Quentin Lhoest	[email protected]	2024-05-18T13:50:07	add missing spacy model (#2837)	diff --git a/services/worker/Dockerfile b/services/worker/Dockerfile index 971b8556..e0dc7a24 100644 --- a/services/worker/Dockerfile +++ b/services/worker/Dockerfile @@ -33,0 +34 @@ RUN poetry install --no-cache +RUN poetry run python -m spacy download en_core_web_sm diff --git a/services/worker/dev.Dockerfile b/services/worker/dev.Dockerfile index faf90706..24618df2 100644 --- a/services/worker/dev.Dockerfile +++ b/services/worker/dev.Dockerfile @@ -40,0 +41 @@ RUN --mount=type=cache,target=/home/.cache/pypoetry/cache \ +RUN poetry run python -m spacy download en_core_web_sm
f4aae0a54d790d437d2338db2a51a98537a51b0f	Quentin Lhoest	[email protected]	2024-05-18T13:16:59	Update some numbers (#2836)	diff --git a/README.md b/README.md index 32170635..39ee353b 100644 --- a/README.md +++ b/README.md @@ -3 +3 @@ -> Integrate into your apps over 10,000 datasets via simple HTTP requests, with pre-processed responses and scalability built-in. +> Integrate into your apps over 100,000 datasets via simple HTTP requests, with pre-processed responses and scalability built-in. diff --git a/docs/source/analyze_data.md b/docs/source/analyze_data.md index 72f147f5..aed1b866 100644 --- a/docs/source/analyze_data.md +++ b/docs/source/analyze_data.md @@ -11 +11 @@ To demonstrate, this guide will show you an end-to-end example of how to retriev -The [Hub](https://huggingface.co/datasets) is home to more than 40,000 datasets across a wide variety of tasks, sizes, and languages. For this example, you'll use the [`codeparrot/codecomplex`](https://huggingface.co/datasets/codeparrot/codecomplex) dataset, but feel free to explore and find another dataset that interests you! The dataset contains Java code from programming competitions, and the time complexity of the code is labeled by a group of algorithm experts. +The [Hub](https://huggingface.co/datasets) is home to more than 100,000 datasets across a wide variety of tasks, sizes, and languages. For this example, you'll use the [`codeparrot/codecomplex`](https://huggingface.co/datasets/codeparrot/codecomplex) dataset, but feel free to explore and find another dataset that interests you! The dataset contains Java code from programming competitions, and the time complexity of the code is labeled by a group of algorithm experts. diff --git a/docs/source/index.md b/docs/source/index.md index d0f82d88..dcd571c8 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -10 +10 @@ To help users access these modern datasets, The dataset viewer runs a server beh -Let the dataset viewer take care of the heavy lifting so you can use a simple REST API on any of the 30,000+ datasets on Hugging Face to: +Let the dataset viewer take care of the heavy lifting so you can use a simple REST API on any of the 100,000+ datasets on Hugging Face to:
d4538a2d23e1006c970ea1e00c2bbecacc27592f	Quentin Lhoest	[email protected]	2024-05-18T13:09:44	Add Presidio scan (#2763)	diff --git a/libs/libcommon/src/libcommon/exceptions.py b/libs/libcommon/src/libcommon/exceptions.py index ea2c4b2d..934d33c7 100644 --- a/libs/libcommon/src/libcommon/exceptions.py +++ b/libs/libcommon/src/libcommon/exceptions.py @@ -118,0 +119 @@ CacheableErrorCode = Literal[ + "PresidioScanNotEnabledForThisDataset", @@ -629,0 +631,7 @@ class DatasetWithTooComplexDataFilesPatternsError(CacheableError): + + +class PresidioScanNotEnabledForThisDataset(CacheableError): + """We've only enabled some datasets for presidio scans.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.NOT_IMPLEMENTED, "PresidioScanNotEnabledForThisDataset", cause, False) diff --git a/libs/libcommon/src/libcommon/processing_graph.py b/libs/libcommon/src/libcommon/processing_graph.py index a79db805..dd683418 100644 --- a/libs/libcommon/src/libcommon/processing_graph.py +++ b/libs/libcommon/src/libcommon/processing_graph.py @@ -651,0 +652,6 @@ specification: ProcessingGraphSpecification = { + "split-presidio-scan": { + "input_type": "split", + "triggered_by": "config-parquet-metadata", + "job_runner_version": 1, + "difficulty": 70, + }, diff --git a/libs/libcommon/tests/test_processing_graph.py b/libs/libcommon/tests/test_processing_graph.py index e318bdc2..7aa7bd66 100644 --- a/libs/libcommon/tests/test_processing_graph.py +++ b/libs/libcommon/tests/test_processing_graph.py @@ -126 +126 @@ def test_graph() -> None: - ["split-first-rows", "split-duckdb-index", "split-descriptive-statistics"], + ["split-first-rows", "split-duckdb-index", "split-descriptive-statistics", "split-presidio-scan"], @@ -273,0 +274,11 @@ def test_graph() -> None: + ( + "split-presidio-scan", + [], + ["config-parquet-metadata"], + [ + "config-parquet", + "config-parquet-and-info", + "config-parquet-metadata", + 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https://github.com/microsoft/presidio/pull/1377 +presidio-analyzer = { git = "https://github.com/microsoft/presidio.git", rev = "2348fff508f1a45af92945d5f597ec56bd4faae6", subdirectory = "presidio-analyzer" } diff --git a/services/worker/src/worker/config.py b/services/worker/src/worker/config.py index bfccc2d4..3afa8d58 100644 --- a/services/worker/src/worker/config.py +++ b/services/worker/src/worker/config.py @@ -188,0 +189,24 @@ class OptInOutUrlsScanConfig: +PRESIDIO_ENTITIES_SCAN_COLUMNS_MAX_NUMBER = 10 +PRESIDIO_ENTITIES_SCAN_MAX_TEXT_LENGTH = 1000 +PRESIDIO_ENTITIES_SCAN_ROWS_MAX_NUMBER = 10_000 + + +@dataclass(frozen=True) +class PresidioEntitiesScanConfig: + columns_max_number: int = PRESIDIO_ENTITIES_SCAN_COLUMNS_MAX_NUMBER + max_text_length: int = PRESIDIO_ENTITIES_SCAN_MAX_TEXT_LENGTH + rows_max_number: int = PRESIDIO_ENTITIES_SCAN_ROWS_MAX_NUMBER + + @classmethod + def from_env(cls) -> "PresidioEntitiesScanConfig": + env = Env(expand_vars=True) + with env.prefixed("PRESIDIO_ENTITIES_SCAN_"): + return cls( + columns_max_number=env.int( + name="COLUMNS_MAX_NUMBER", default=PRESIDIO_ENTITIES_SCAN_COLUMNS_MAX_NUMBER + ), + max_text_length=env.int(name="MAX_TEXT_LENGTH", default=PRESIDIO_ENTITIES_SCAN_MAX_TEXT_LENGTH), + rows_max_number=env.int(name="ROWS_MAX_NUMBER", default=PRESIDIO_ENTITIES_SCAN_ROWS_MAX_NUMBER), + ) + + @@ -352,0 +377 @@ class AppConfig: + presidio_scan: PresidioEntitiesScanConfig = field(default_factory=PresidioEntitiesScanConfig) @@ -373,0 +399 @@ class AppConfig: + presidio_scan=PresidioEntitiesScanConfig.from_env(), diff --git a/services/worker/src/worker/dtos.py b/services/worker/src/worker/dtos.py index 46d53f1c..2768388e 100644 --- a/services/worker/src/worker/dtos.py +++ b/services/worker/src/worker/dtos.py @@ -73,0 +74,78 @@ class OptInOutUrlsScanResponse(OptInOutUrlsCountResponse): +class PresidioEntity(TypedDict): + text: str + type: str + row_idx: int + column_name: str + + +class PresidioEntitiesCountResponse(TypedDict): + scanned_columns: list[str] + num_in_vehicle_registration_entities: int + num_organization_entities: int + num_sg_nric_fin_entities: int + num_person_entities: int + num_credit_card_entities: int + num_medical_license_entities: int + num_nrp_entities: int + num_us_ssn_entities: int + num_crypto_entities: int + num_date_time_entities: int + num_location_entities: int + num_us_driver_license_entities: int + num_phone_number_entities: int + num_url_entities: int + num_us_passport_entities: int + num_age_entities: int + num_au_acn_entities: int + num_email_address_entities: int + num_in_pan_entities: int + num_ip_address_entities: int + num_id_entities: int + num_us_bank_number_entities: int + num_in_aadhaar_entities: int + num_us_itin_entities: int + num_au_medicare_entities: int + num_iban_code_entities: int + num_au_tfn_entities: int + num_uk_nhs_entities: int + num_email_entities: int + num_au_abn_entities: int + num_rows_with_in_vehicle_registration_entities: int + num_rows_with_organization_entities: int + num_rows_with_sg_nric_fin_entities: int + num_rows_with_person_entities: int + num_rows_with_credit_card_entities: int + num_rows_with_medical_license_entities: int + num_rows_with_nrp_entities: int + num_rows_with_us_ssn_entities: int + num_rows_with_crypto_entities: int + num_rows_with_date_time_entities: int + num_rows_with_location_entities: int + num_rows_with_us_driver_license_entities: int + num_rows_with_phone_number_entities: int + num_rows_with_url_entities: int + num_rows_with_us_passport_entities: int + num_rows_with_age_entities: int + num_rows_with_au_acn_entities: int + num_rows_with_email_address_entities: int + num_rows_with_in_pan_entities: int + num_rows_with_ip_address_entities: int + num_rows_with_id_entities: int + num_rows_with_us_bank_number_entities: int + num_rows_with_in_aadhaar_entities: int + num_rows_with_us_itin_entities: int + num_rows_with_au_medicare_entities: int + num_rows_with_iban_code_entities: int + num_rows_with_au_tfn_entities: int + num_rows_with_uk_nhs_entities: int + num_rows_with_email_entities: int + num_rows_with_au_abn_entities: int + num_scanned_rows: int + has_scanned_columns: bool + full_scan: Union[bool, None] + + +class PresidioEntitiesScanResponse(PresidioEntitiesCountResponse): + entities: list[PresidioEntity] + + diff --git a/services/worker/src/worker/job_runner_factory.py b/services/worker/src/worker/job_runner_factory.py index 74450dd3..dc7da63a 100644 --- a/services/worker/src/worker/job_runner_factory.py +++ b/services/worker/src/worker/job_runner_factory.py @@ -55,0 +56 @@ from worker.job_runners.split.opt_in_out_urls_scan_from_streaming import ( +from worker.job_runners.split.presidio_scan import SplitPresidioEntitiesScanJobRunner @@ -194,0 +196,6 @@ class JobRunnerFactory(BaseJobRunnerFactory): + if job_type == SplitPresidioEntitiesScanJobRunner.get_job_type(): + return SplitPresidioEntitiesScanJobRunner( + job_info=job_info, + app_config=self.app_config, + hf_datasets_cache=self.hf_datasets_cache, + ) @@ -258,0 +266 @@ class JobRunnerFactory(BaseJobRunnerFactory): + SplitPresidioEntitiesScanJobRunner.get_job_type(), diff --git a/services/worker/src/worker/job_runners/split/presidio_scan.py b/services/worker/src/worker/job_runners/split/presidio_scan.py new file mode 100644 index 00000000..e9d7a9d7 --- /dev/null +++ b/services/worker/src/worker/job_runners/split/presidio_scan.py @@ -0,0 +1,692 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2023 The HuggingFace Authors. + +import logging +import re +from collections import Counter +from collections.abc import Iterable +from itertools import count, islice +from pathlib import Path +from typing import Any, Literal, Optional, TypeVar, Union, overload + +from datasets import DatasetInfo, Features, Value +from datasets.features.features import FeatureType, _visit +from libcommon.dtos import JobInfo, Row +from libcommon.exceptions import ( + PresidioScanNotEnabledForThisDataset, + PreviousStepFormatError, + TooManyColumnsError, +) +from libcommon.simple_cache import get_previous_step_or_raise +from presidio_analyzer import AnalyzerEngine, BatchAnalyzerEngine, RecognizerResult + +from worker.config import AppConfig, PresidioEntitiesScanConfig +from worker.dtos import CompleteJobResult, ConfigParquetAndInfoResponse, PresidioEntitiesScanResponse, PresidioEntity +from worker.job_runners.split.split_job_runner import SplitJobRunnerWithDatasetsCache +from worker.utils import get_rows_or_raise, resolve_trust_remote_code + +T = TypeVar("T") +BATCH_SIZE = 10 +batch_analyzer: Optional[BatchAnalyzerEngine] = None + + +@overload +def batched(it: Iterable[T], n: int) -> Iterable[list[T]]: ... + + +@overload +def batched(it: Iterable[T], n: int, with_indices: Literal[False]) -> Iterable[list[T]]: ... + + +@overload +def batched(it: Iterable[T], n: int, with_indices: Literal[True]) -> Iterable[tuple[list[int], list[T]]]: ... + + +def batched( + it: Iterable[T], n: int, with_indices: bool = False +) -> Union[Iterable[list[T]], Iterable[tuple[list[int], list[T]]]]: + it, indices = iter(it), count() + while batch := list(islice(it, n)): + yield (list(islice(indices, len(batch))), batch) if with_indices else batch + + +def mask(text: str) -> str: + return " ".join( + word[: min(2, len(word) - 1)] + re.sub("[A-Za-z0-9]", "", word[min(2, len(word) - 1) :]) + for word in text.split(" ") + ) + + +def get_strings(row_content: Any) -> str: + if isinstance(row_content, str): + return row_content + if isinstance(row_content, dict): + row_content = list(row_content.values()) + if isinstance(row_content, list): + str_items = (get_strings(row_content_item) for row_content_item in row_content) + return "\n".join(str_item for str_item in str_items if str_item) + return "" + + +def _simple_analyze_iterator_cache( + batch_analyzer: BatchAnalyzerEngine, + texts: Iterable[str], + language: str, + score_threshold: float, + cache: dict[str, list[RecognizerResult]], +) -> list[list[RecognizerResult]]: + not_cached_results = iter( + batch_analyzer.analyze_iterator( + (text for text in texts if text not in cache), language=language, score_threshold=score_threshold + ) + ) + results = [cache[text] if text in cache else next(not_cached_results) for text in texts] + # cache the last results + cache.clear() + cache.update(dict(zip(texts, results))) + return results + + +def analyze( + batch_analyzer: BatchAnalyzerEngine, + batch: list[dict[str, str]], + indices: Iterable[int], + scanned_columns: list[str], + columns_descriptions: list[str], + cache: Optional[dict[str, list[RecognizerResult]]] = None, +) -> list[PresidioEntity]: + cache = {} if cache is None else cache + texts = [ + f"The following is {columns_description} data:\n\n{example[column_name] or ''}" + for example in batch + for column_name, columns_description in zip(scanned_columns, columns_descriptions) + ] + return [ + PresidioEntity( + text=texts[i * len(scanned_columns) + j][recognizer_result.start : recognizer_result.end], + type=recognizer_result.entity_type, + row_idx=row_idx, + column_name=column_name, + ) + for i, row_idx, recognizer_row_results in zip( + count(), + indices, + batched( + _simple_analyze_iterator_cache(batch_analyzer, texts, language="en", score_threshold=0.8, cache=cache), + len(scanned_columns), + ), + ) + for j, column_name, columns_description, recognizer_results in zip( + count(), scanned_columns, columns_descriptions, recognizer_row_results + ) + for recognizer_result in recognizer_results + if recognizer_result.start >= len(f"The following is {columns_description} data:\n\n") + ] + + +def presidio_scan_entities( + rows: list[Row], + scanned_columns: list[str], + columns_descriptions: list[str], + max_text_length: int, + disable_masks: bool = False, +) -> list[PresidioEntity]: + global batch_analyzer + cache: dict[str, list[RecognizerResult]] = {} + if batch_analyzer is None: + batch_analyser = BatchAnalyzerEngine(AnalyzerEngine()) + presidio_entities: list[PresidioEntity] = [] + rows_with_scanned_columns_only = ( + {column_name: get_strings(row[column_name])[:max_text_length] for column_name in scanned_columns} + for row in rows + ) + for indices, batch in batched(rows_with_scanned_columns_only, BATCH_SIZE, with_indices=True): + for presidio_entitiy in analyze( + batch_analyzer=batch_analyser, + batch=batch, + indices=indices, + scanned_columns=scanned_columns, + columns_descriptions=columns_descriptions, + cache=cache, + ): + presidio_entities.append( + PresidioEntity( + text=presidio_entitiy["text"] if disable_masks else mask(presidio_entitiy["text"]), + type=presidio_entitiy["type"], + row_idx=presidio_entitiy["row_idx"], + column_name=presidio_entitiy["column_name"], + ) + ) + return presidio_entities + + +def get_columns_with_strings(features: Features) -> list[str]: + columns_with_strings: list[str] = [] + + for column, feature in features.items(): + str_column = str(column) + with_string = False + + def classify(feature: FeatureType) -> None: + nonlocal with_string + if isinstance(feature, Value) and feature.dtype == "string": + with_string = True + + _visit(feature, classify) + if with_string: + columns_with_strings.append(str_column) + return columns_with_strings + + +def get_column_description(column_name: str, feature: FeatureType) -> str: + nested_fields: list[str] = [] + + def get_nested_field_names(feature: FeatureType) -> None: + nonlocal nested_fields + if isinstance(feature, dict): + nested_fields += list(feature) + + _visit(feature, get_nested_field_names) + return f"{column_name} (with {', '.join(nested_fields)})" if nested_fields else column_name + + +def compute_presidio_entities_scan_response( + dataset: str, + config: str, + split: str, + hf_token: Optional[str], + rows_max_number: int, + columns_max_number: int, + max_text_length: int, + dataset_scripts_allow_list: list[str], +) -> PresidioEntitiesScanResponse: + """ + Get the response of 'split-presidio-scan' cache for a specific split of a dataset from huggingface.co. + The response is not used directly in the API but it is an input for 'config-presidio-scan' processing step. + Note that only image URLs are scanned, see image_url_columns.py for details about the detection heuristic. + + Args: + dataset (`str`): + A namespace (user or an organization) and a repo name separated by a `/`. + config (`str`): + A configuration name. + split (`str`): + A split name. + hf_token (`str`, optional): + An authentication token (See https://huggingface.co/settings/token) + rows_max_number (`int`): + The maximum number of rows of the response. + columns_max_number (`int`): + The maximum number of supported columns. + max_text_length (`int`): + The maximum text length considered by the scanner. + dataset_scripts_allow_list (`list[str]`): + List of datasets for which we support dataset scripts. + Unix shell-style wildcards also work in the dataset name for namespaced datasets, + for example `some_namespace/` to refer to all the datasets in the `some_namespace` namespace. + The keyword `{{ALL_DATASETS_WITH_NO_NAMESPACE}}` refers to all the datasets without namespace. + + Raises: + [~`libcommon.simple_cache.CachedArtifactError`]: + If the previous step gave an error. + [~`libcommon.exceptions.PreviousStepFormatError`]: + If the content of the previous step has not the expected format + [~`libcommon.exceptions.InfoError`]: + If the config info could not be obtained using the datasets library. + [~`libcommon.exceptions.TooManyColumnsError`]: + If the number of columns (features) exceeds the maximum supported number of columns. + [~`libcommon.exceptions.StreamingRowsError`]: + If the split rows could not be obtained using the datasets library in streaming mode. + [~`libcommon.exceptions.NormalRowsError`]: + If the split rows could not be obtained using the datasets library in normal mode. + [~`libcommon.exceptions.DatasetWithScriptNotSupportedError`]: + If the dataset has a dataset script and is not in the allow list. + + Returns: + `PresidioEntitiesScanResponse`: An object with the lists of opt-in/opt-out urls + """ + if not ( + "email" in dataset + or "pii" in dataset + or "presidio" in dataset + or "ssn" in dataset + or "DVUser/" in dataset + or dataset in top_2k_most_liked_datasets + ): + raise PresidioScanNotEnabledForThisDataset(dataset) + logging.info(f"compute 'split-presidio-scan' for {dataset=} {config=} {split=}") + trust_remote_code = resolve_trust_remote_code(dataset=dataset, allow_list=dataset_scripts_allow_list) + + # get the first rows from previous job + parquet_and_info_response = get_previous_step_or_raise( + kind="config-parquet-and-info", + dataset=dataset, + config=config, + ) + try: + upstream_response_content = ConfigParquetAndInfoResponse( + parquet_files=parquet_and_info_response["content"]["parquet_files"], + dataset_info=parquet_and_info_response["content"]["dataset_info"], + partial=parquet_and_info_response["content"]["partial"], + ) + info = DatasetInfo.from_dict(upstream_response_content["dataset_info"]) + if info.features is None: + raise PreviousStepFormatError("Previous step did not return the expected content (missing features).") + features = info.features + except KeyError as e: + raise PreviousStepFormatError("Previous step did not return the expected content.", e) from e + + scanned_columns = get_columns_with_strings(features) + columns_descriptions = [ + get_column_description(column_name, features[column_name]) for column_name in scanned_columns + ] + if not scanned_columns: + return PresidioEntitiesScanResponse( + scanned_columns=scanned_columns, + num_in_vehicle_registration_entities=0, + num_organization_entities=0, + num_sg_nric_fin_entities=0, + num_person_entities=0, + num_credit_card_entities=0, + num_medical_license_entities=0, + num_nrp_entities=0, + num_us_ssn_entities=0, + num_crypto_entities=0, + num_date_time_entities=0, + num_location_entities=0, + num_us_driver_license_entities=0, + num_phone_number_entities=0, + num_url_entities=0, + num_us_passport_entities=0, + num_age_entities=0, + num_au_acn_entities=0, + num_email_address_entities=0, + num_in_pan_entities=0, + num_ip_address_entities=0, + num_id_entities=0, + num_us_bank_number_entities=0, + num_in_aadhaar_entities=0, + num_us_itin_entities=0, + num_au_medicare_entities=0, + num_iban_code_entities=0, + num_au_tfn_entities=0, + num_uk_nhs_entities=0, + num_email_entities=0, + num_au_abn_entities=0, + num_rows_with_in_vehicle_registration_entities=0, + num_rows_with_organization_entities=0, + num_rows_with_sg_nric_fin_entities=0, + num_rows_with_person_entities=0, + num_rows_with_credit_card_entities=0, + num_rows_with_medical_license_entities=0, + num_rows_with_nrp_entities=0, + num_rows_with_us_ssn_entities=0, + num_rows_with_crypto_entities=0, + num_rows_with_date_time_entities=0, + num_rows_with_location_entities=0, + num_rows_with_us_driver_license_entities=0, + num_rows_with_phone_number_entities=0, + num_rows_with_url_entities=0, + num_rows_with_us_passport_entities=0, + num_rows_with_age_entities=0, + num_rows_with_au_acn_entities=0, + num_rows_with_email_address_entities=0, + num_rows_with_in_pan_entities=0, + num_rows_with_ip_address_entities=0, + num_rows_with_id_entities=0, + num_rows_with_us_bank_number_entities=0, + num_rows_with_in_aadhaar_entities=0, + num_rows_with_us_itin_entities=0, + num_rows_with_au_medicare_entities=0, + num_rows_with_iban_code_entities=0, + num_rows_with_au_tfn_entities=0, + num_rows_with_uk_nhs_entities=0, + num_rows_with_email_entities=0, + num_rows_with_au_abn_entities=0, + num_scanned_rows=0, + has_scanned_columns=False, + full_scan=None, + entities=[], + ) + + if len(scanned_columns) > columns_max_number: + raise TooManyColumnsError( + f"The number of columns ({len(scanned_columns)}) exceeds the maximum supported number of columns to scan" + f" ({columns_max_number})." + ) + + # get the rows + rows_content = get_rows_or_raise( + dataset=dataset, + config=config, + split=split, + info=info, + rows_max_number=rows_max_number, + token=hf_token, + column_names=scanned_columns, + trust_remote_code=trust_remote_code, + ) + rows = rows_content.rows + + # scan the texts for presidio entities + num_scanned_rows = len(rows) + presidio_entities = presidio_scan_entities( + rows, + scanned_columns=scanned_columns, + columns_descriptions=columns_descriptions, + max_text_length=max_text_length, + ) + entity_type_counter = Counter(presidio_entity["type"] for presidio_entity in presidio_entities) + entity_type_and_row_idx_pairs = set( + (presidio_entity["type"], presidio_entity["row_idx"]) for presidio_entity in presidio_entities + ) + rows_per_entity_type_counter = Counter(entity_type for entity_type, _ in entity_type_and_row_idx_pairs) + + # return scan result + return PresidioEntitiesScanResponse( + scanned_columns=scanned_columns, + num_in_vehicle_registration_entities=entity_type_counter.get("IN_VEHICLE_REGISTRATION", 0), + num_organization_entities=entity_type_counter.get("ORGANIZATION", 0), + num_sg_nric_fin_entities=entity_type_counter.get("SG_NRIC_FIN", 0), + num_person_entities=entity_type_counter.get("PERSON", 0), + num_credit_card_entities=entity_type_counter.get("CREDIT_CARD", 0), + num_medical_license_entities=entity_type_counter.get("MEDICAL_LICENSE", 0), + num_nrp_entities=entity_type_counter.get("NRP", 0), + num_us_ssn_entities=entity_type_counter.get("US_SSN", 0), + num_crypto_entities=entity_type_counter.get("CRYPTO", 0), + num_date_time_entities=entity_type_counter.get("DATE_TIME", 0), + num_location_entities=entity_type_counter.get("LOCATION", 0), + num_us_driver_license_entities=entity_type_counter.get("US_DRIVER_LICENSE", 0), + num_phone_number_entities=entity_type_counter.get("PHONE_NUMBER", 0), + num_url_entities=entity_type_counter.get("URL", 0), + num_us_passport_entities=entity_type_counter.get("US_PASSPORT", 0), + num_age_entities=entity_type_counter.get("AGE", 0), + num_au_acn_entities=entity_type_counter.get("AU_ACN", 0), + num_email_address_entities=entity_type_counter.get("EMAIL_ADDRESS", 0), + num_in_pan_entities=entity_type_counter.get("IN_PAN", 0), + num_ip_address_entities=entity_type_counter.get("IP_ADDRESS", 0), + num_id_entities=entity_type_counter.get("ID", 0), + num_us_bank_number_entities=entity_type_counter.get("US_BANK_NUMBER", 0), + num_in_aadhaar_entities=entity_type_counter.get("IN_AADHAAR", 0), + num_us_itin_entities=entity_type_counter.get("US_ITIN", 0), + num_au_medicare_entities=entity_type_counter.get("AU_MEDICARE", 0), + num_iban_code_entities=entity_type_counter.get("IBAN_CODE", 0), + num_au_tfn_entities=entity_type_counter.get("AU_TFN", 0), + num_uk_nhs_entities=entity_type_counter.get("UK_NHS", 0), + num_email_entities=entity_type_counter.get("EMAIL", 0), + num_au_abn_entities=entity_type_counter.get("AU_ABN", 0), + num_rows_with_in_vehicle_registration_entities=rows_per_entity_type_counter.get("IN_VEHICLE_REGISTRATION", 0), + num_rows_with_organization_entities=rows_per_entity_type_counter.get("ORGANIZATION", 0), + num_rows_with_sg_nric_fin_entities=rows_per_entity_type_counter.get("SG_NRIC_FIN", 0), + num_rows_with_person_entities=rows_per_entity_type_counter.get("PERSON", 0), + num_rows_with_credit_card_entities=rows_per_entity_type_counter.get("CREDIT_CARD", 0), + num_rows_with_medical_license_entities=rows_per_entity_type_counter.get("MEDICAL_LICENSE", 0), + num_rows_with_nrp_entities=rows_per_entity_type_counter.get("NRP", 0), + num_rows_with_us_ssn_entities=rows_per_entity_type_counter.get("US_SSN", 0), + num_rows_with_crypto_entities=rows_per_entity_type_counter.get("CRYPTO", 0), + num_rows_with_date_time_entities=rows_per_entity_type_counter.get("DATE_TIME", 0), + num_rows_with_location_entities=rows_per_entity_type_counter.get("LOCATION", 0), + num_rows_with_us_driver_license_entities=rows_per_entity_type_counter.get("US_DRIVER_LICENSE", 0), + num_rows_with_phone_number_entities=rows_per_entity_type_counter.get("PHONE_NUMBER", 0), + num_rows_with_url_entities=rows_per_entity_type_counter.get("URL", 0), + num_rows_with_us_passport_entities=rows_per_entity_type_counter.get("US_PASSPORT", 0), + num_rows_with_age_entities=rows_per_entity_type_counter.get("AGE", 0), + num_rows_with_au_acn_entities=rows_per_entity_type_counter.get("AU_ACN", 0), + num_rows_with_email_address_entities=rows_per_entity_type_counter.get("EMAIL_ADDRESS", 0), + num_rows_with_in_pan_entities=rows_per_entity_type_counter.get("IN_PAN", 0), + num_rows_with_ip_address_entities=rows_per_entity_type_counter.get("IP_ADDRESS", 0), + num_rows_with_id_entities=rows_per_entity_type_counter.get("ID", 0), + num_rows_with_us_bank_number_entities=rows_per_entity_type_counter.get("US_BANK_NUMBER", 0), + num_rows_with_in_aadhaar_entities=rows_per_entity_type_counter.get("IN_AADHAAR", 0), + num_rows_with_us_itin_entities=rows_per_entity_type_counter.get("US_ITIN", 0), + num_rows_with_au_medicare_entities=rows_per_entity_type_counter.get("AU_MEDICARE", 0), + num_rows_with_iban_code_entities=rows_per_entity_type_counter.get("IBAN_CODE", 0), + num_rows_with_au_tfn_entities=rows_per_entity_type_counter.get("AU_TFN", 0), + num_rows_with_uk_nhs_entities=rows_per_entity_type_counter.get("UK_NHS", 0), + num_rows_with_email_entities=rows_per_entity_type_counter.get("EMAIL", 0), + num_rows_with_au_abn_entities=rows_per_entity_type_counter.get("AU_ABN", 0), + num_scanned_rows=num_scanned_rows, + has_scanned_columns=True, + full_scan=rows_content.all_fetched, + entities=presidio_entities, + ) + + +class SplitPresidioEntitiesScanJobRunner(SplitJobRunnerWithDatasetsCache): + presidio_entities_scan_config: PresidioEntitiesScanConfig + + @staticmethod + def get_job_type() -> str: + return "split-presidio-scan" + + def __init__( + self, + job_info: JobInfo, + app_config: AppConfig, + hf_datasets_cache: Path, + ) -> None: + super().__init__( + job_info=job_info, + app_config=app_config, + hf_datasets_cache=hf_datasets_cache, + ) + self.presidio_entities_scan_config = app_config.presidio_scan + + def compute(self) -> CompleteJobResult: + return CompleteJobResult( + compute_presidio_entities_scan_response( + dataset=self.dataset, + config=self.config, + split=self.split, + hf_token=self.app_config.common.hf_token, + rows_max_number=self.presidio_entities_scan_config.rows_max_number, + columns_max_number=self.presidio_entities_scan_config.columns_max_number, + max_text_length=self.presidio_entities_scan_config.max_text_length, + dataset_scripts_allow_list=self.app_config.common.dataset_scripts_allow_list, + ) + ) + + +# fmt: off +top_2k_most_liked_datasets = { + "fka/awesome-chatgpt-prompts", "Open-Orca/OpenOrca", "OpenAssistant/oasst1", "HuggingFaceFW/fineweb", "gsdf/EasyNegative", "Anthropic/hh-rlhf", "togethercomputer/RedPajama-Data-1T", "Nerfgun3/bad_prompt", "tiiuae/falcon-refinedweb", "allenai/dolma", + "anon8231489123/ShareGPT_Vicuna_unfiltered", "bigcode/the-stack", "QingyiSi/Alpaca-CoT", "databricks/databricks-dolly-15k", "tatsu-lab/alpaca", "teknium/OpenHermes-2.5", "JosephusCheung/GuanacoDataset", "wikipedia", "HuggingFaceTB/cosmopedia", "m-a-p/COIG-CQIA", + "lmsys/lmsys-chat-1m", "poloclub/diffusiondb", "liwu/MNBVC", "Gustavosta/Stable-Diffusion-Prompts", "BAAI/COIG", "uonlp/CulturaX", "yahma/alpaca-cleaned", "roneneldan/TinyStories", "stingning/ultrachat", "wikimedia/wikipedia", + "GAIR/lima", "HuggingFaceH4/no_robots", "cognitivecomputations/dolphin", "cerebras/SlimPajama-627B", "timdettmers/openassistant-guanaco", "HuggingFaceH4/ultrachat_200k", "EleutherAI/pile", "liuhaotian/LLaVA-Instruct-150K", "b-mc2/sql-create-context", "garage-bAInd/Open-Platypus", + "bigcode/starcoderdata", "microsoft/orca-math-word-problems-200k", "imagenet-1k", "nyu-mll/glue", "bigcode/the-stack-dedup", "togethercomputer/RedPajama-Data-V2", "gretelai/synthetic_text_to_sql", "allenai/objaverse", "Skylion007/openwebtext", "wikitext", + "HuggingFaceM4/WebSight", "RyokoAI/ShareGPT52K", "laion/OIG", "stanfordnlp/SHP", "PleIAs/YouTube-Commons", "Skywork/SkyPile-150B", "glaiveai/glaive-function-calling-v2", "Samsung/samsum", "lmsys/chatbot_arena_conversations", "openbmb/UltraFeedback", + "lambdalabs/pokemon-blip-captions", "shibing624/medical", "berkeley-nest/Nectar", "Intel/orca_dpo_pairs", "YeungNLP/firefly-train-1.1M", "BAAI/COIG-PC", "meta-math/MetaMathQA", "gsm8k", "codeparrot/github-code", "bookcorpus", + "Open-Orca/SlimOrca", "dair-ai/emotion", "CohereForAI/aya_dataset", "c4", "cais/mmlu", "open-web-math/open-web-math", "code_search_net", "allenai/WildChat-1M", "rajpurkar/squad", "litagin/moe-speech", + "Lin-Chen/ShareGPT4V", "shareAI/ShareGPT-Chinese-English-90k", "nomic-ai/gpt4all-j-prompt-generations", "ceval/ceval-exam", "google/fleurs", "openai/webgpt_comparisons", "bigcode/the-stack-v2", "HuggingFaceM4/the_cauldron", "Salesforce/dialogstudio", "LDJnr/Capybara", + "stanfordnlp/imdb", "nampdn-ai/tiny-codes", "CausalLM/Refined-Anime-Text", "bigscience/P3", "vicgalle/alpaca-gpt4", "bigcode/ta-prompt", "Locutusque/UltraTextbooks", "allenai/c4", "pile-of-law/pile-of-law", "teknium/openhermes", + "TIGER-Lab/MathInstruct", "HuggingFaceH4/ultrafeedback_binarized", "PygmalionAI/PIPPA", "openai_humaneval", "cnn_dailymail", "yizhongw/self_instruct", "SirNeural/flan_v2", "nvidia/HelpSteer", "THUDM/AgentInstruct", "nvidia/OpenMathInstruct-1", + "openai/summarize_from_feedback", "nickrosh/Evol-Instruct-Code-80k-v1", "storytracer/US-PD-Books", "OpenAssistant/oasst2", "Cohere/wikipedia-2023-11-embed-multilingual-v3", "argilla/OpenHermesPreferences", "Hello-SimpleAI/HC3", "SciPhi/textbooks-are-all-you-need-lite", "vikp/textbook_quality_programming", "financial_phrasebank", + "truthful_qa", "GAIR/MathPile", "Anthropic/persuasion", "m-a-p/Code-Feedback", "laion/laion2B-en", "wangrui6/Zhihu-KOL", "openchat/openchat_sharegpt4_dataset", "oscar", "sahil2801/CodeAlpaca-20k", "Tele-AI/TeleChat-PTD", + "mozilla-foundation/common_voice_11_0", "mlabonne/orpo-dpo-mix-40k", "Open-Orca/FLAN", "rajpurkar/squad_v2", "nyanko7/LLaMA-65B", "super_glue", "cognitivecomputations/wizard_vicuna_70k_unfiltered", "Amod/mental_health_counseling_conversations", "EleutherAI/proof-pile-2", "ProGamerGov/StableDiffusion-v1-5-Regularization-Images", + "the_pile_books3", "mc4", "knkarthick/dialogsum", "argilla/distilabel-capybara-dpo-7k-binarized", "nyanko7/danbooru2023", "Hello-SimpleAI/HC3-Chinese", "MMMU/MMMU", "ise-uiuc/Magicoder-Evol-Instruct-110K", "argilla/distilabel-intel-orca-dpo-pairs", "H-D-T/Buzz", + "theblackcat102/evol-codealpaca-v1", "animelover/danbooru2022", "CohereForAI/aya_collection", "allenai/soda", "lvwerra/stack-exchange-paired", "teknium/GPT4-LLM-Cleaned", "BelleGroup/train_1M_CN", "allenai/peS2o", "vivym/midjourney-messages", "oscar-corpus/OSCAR-2301", + "taesiri/arxiv_qa", "unalignment/toxic-dpo-v0.1", "math-ai/AutoMathText", "mozilla-foundation/common_voice_13_0", "nampdn-ai/tiny-textbooks", "ise-uiuc/Magicoder-OSS-Instruct-75K", "common_voice", "armanc/scientific_papers", "mlabonne/guanaco-llama2-1k", "DIBT/10k_prompts_ranked", + "medical_dialog", "nomic-ai/gpt4all_prompt_generations", "go_emotions", "iamtarun/python_code_instructions_18k_alpaca", "argilla/dpo-mix-7k", "MBZUAI/LaMini-instruction", "qiaojin/PubMedQA", "LinkSoul/instruction_merge_set", "LooksJuicy/ruozhiba", "pleisto/wikipedia-cn-20230720-filtered", + "kakaobrain/coyo-700m", "gaia-benchmark/GAIA", "PleIAs/Post-OCR-Correction", "ag_news", "cognitivecomputations/WizardLM_alpaca_evol_instruct_70k_unfiltered", "BelleGroup/train_3.5M_CN", "togethercomputer/Long-Data-Collections", "derek-thomas/ScienceQA", "HuggingFaceM4/OBELICS", "abacusai/SystemChat", + "google/MusicCaps", "dell-research-harvard/AmericanStories", "shahules786/orca-chat", "daily_dialog", "cognitivecomputations/samantha-data", "allenai/MADLAD-400", "pixparse/idl-wds", "eriktks/conll2003", "oscar-corpus/OSCAR-2201", "BelleGroup/multiturn_chat_0.8M", + "knowrohit07/know_sql", "bigscience/xP3", "mosaicml/dolly_hhrlhf", "nvidia/ChatQA-Training-Data", "zzliang/GRIT", "tweet_eval", "togethercomputer/RedPajama-Data-1T-Sample", "izumi-lab/llm-japanese-dataset", "TigerResearch/pretrain_zh", "Dahoas/rm-static", + "HuggingFaceH4/stack-exchange-preferences", "hakurei/open-instruct-v1", "liuhaotian/LLaVA-Pretrain", "MMInstruction/M3IT", "lmsys/toxic-chat", "librispeech_asr", "codeparrot/apps", "BelleGroup/train_2M_CN", "laion/gpt4v-dataset", "jondurbin/truthy-dpo-v0.1", + "argilla/ultrafeedback-binarized-preferences-cleaned", "mbpp", "xlangai/spider", "Helsinki-NLP/opus-100", "openlifescienceai/medmcqa", "BelleGroup/train_0.5M_CN", "amazon_reviews_multi", "JeanKaddour/minipile", "michaelwzhu/ChatMed_Consult_Dataset", "MBZUAI/Bactrian-X", + "allenai/prosocial-dialog", "csebuetnlp/xlsum", "silk-road/Wizard-LM-Chinese-instruct-evol", "allenai/WildChat", "migtissera/Synthia-v1.3", "MarkrAI/KoCommercial-Dataset", "allenai/nllb", "prometheus-eval/Feedback-Collection", "TIGER-Lab/MMLU-Pro", "codeparrot/github-code-clean", + "zhengyun21/PMC-Patients", "ikala/tmmluplus", "hendrycks/competition_math", "espnet/yodas", "m-a-p/CodeFeedback-Filtered-Instruction", "LDJnr/Puffin", "epfl-llm/guidelines", "maywell/korean_textbooks", "sentence-transformers/embedding-training-data", "huggan/wikiart", + "Chinese-Vicuna/guanaco_belle_merge_v1.0", "fnlp/moss-002-sft-data", "openbmb/UltraInteract_sft", "allenai/ai2_arc", "deepmind/code_contests", "succinctly/midjourney-prompts", "AI4Math/MathVista", "satellogic/EarthView", "pixparse/pdfa-eng-wds", "BelleGroup/school_math_0.25M", + "kaist-ai/CoT-Collection", "allenai/objaverse-xl", "wikisql", "zeroshot/twitter-financial-news-sentiment", "mozilla-foundation/common_voice_17_0", "openbmb/UltraInteract_pair", "ms_marco", "wikiann", "xtreme", "osunlp/Mind2Web", + "yys/OpenOrca-Chinese", "unalignment/toxic-dpo-v0.2", "nampdn-ai/tiny-strange-textbooks", "empathetic_dialogues", "philschmid/sharegpt-raw", "X2FD/LVIS-Instruct4V", "math_dataset", "sunzeyeah/chinese_chatgpt_corpus", "wanng/midjourney-v5-202304-clean", "ybisk/piqa", + "IlyaGusev/gpt_roleplay_realm", "cognitivecomputations/Dolphin-2.9", "allenai/sciq", "camel-ai/math", "liuhaotian/LLaVA-CC3M-Pretrain-595K", "silk-road/alpaca-data-gpt4-chinese", "facebook/belebele", "open-phi/textbooks", "SciPhi/AgentSearch-V1", "mnist", + "yelp_review_full", "facebook/winoground", "lmsys/mt_bench_human_judgments", "shibing624/sharegpt_gpt4", "gbharti/finance-alpaca", "allenai/tulu-v2-sft-mixture", "andersonbcdefg/synthetic_retrieval_tasks", "Sao10K/Claude-3-Opus-Instruct-15K", "m-a-p/Matrix", "ncbi/pubmed", + "monology/pile-uncopyrighted", "Open-Orca/SlimOrca-Dedup", "medalpaca/medical_meadow_medqa", "zxbsmk/webnovel_cn", "BI55/MedText", "Rowan/hellaswag", "PKU-Alignment/PKU-SafeRLHF", "rubend18/ChatGPT-Jailbreak-Prompts", "flytech/python-codes-25k", "hollyyfc/tidytuesday_for_python", + "shibing624/alpaca-zh", "THUDM/LongBench", "glaiveai/glaive-code-assistant", "keivalya/MedQuad-MedicalQnADataset", "arxiv_dataset", "nyu-mll/multi_nli", "kunishou/databricks-dolly-15k-ja", "lemonilia/LimaRP", "math_qa", "stanfordnlp/sst2", + "EleutherAI/the_pile_deduplicated", "HuggingFaceH4/CodeAlpaca_20K", "pankajmathur/WizardLM_Orca", "glaiveai/glaive-function-calling", "LDJnr/Pure-Dove", "vikhyatk/lnqa", "hiyouga/DPO-En-Zh-20k", "yfszzx/inspiration", "Dahoas/full-hh-rlhf", "codefuse-ai/Evol-instruction-66k", + "ZenMoore/RoleBench", "speechcolab/gigaspeech", "neural-bridge/rag-dataset-12000", "amazon_us_reviews", "wikimedia/wikisource", "THUDM/humaneval-x", "liyucheng/zhihu_rlhf_3k", "PatronusAI/financebench", "EdinburghNLP/xsum", "unicamp-dl/mmarco", + "0xJustin/Dungeons-and-Diffusion", "tiange/Cap3D", "NumbersStation/NSText2SQL", "b3x0m/Chinese-H-Novels", "hotpot_qa", "YeungNLP/moss-003-sft-data", "osunlp/MagicBrush", "Yukang/LongAlpaca-12k", "math-ai/StackMathQA", "PolyAI/minds14", + "FreedomIntelligence/HuatuoGPT-sft-data-v1", "nlpai-lab/kullm-v2", "ai4privacy/pii-masking-200k", "argilla/OpenHermes2.5-dpo-binarized-alpha", "ArmelR/stack-exchange-instruction", "argilla/distilabel-math-preference-dpo", "allenai/openbookqa", "facebook/voxpopuli", "IlyaGusev/ru_turbo_alpaca", "griffin/chain_of_density", + "jondurbin/gutenberg-dpo-v0.1", "PleIAs/French-PD-Newspapers", "blended_skill_talk", "mandarjoshi/trivia_qa", "visual_genome", "JanosAudran/financial-reports-sec", "fnlp/moss-003-sft-data", "approximatelabs/tablib-v1-full", "mozilla-foundation/common_voice_16_0", "xai-org/RealworldQA", + "lmsys/lmsys-arena-human-preference-55k", "Abirate/english_quotes", "BelleGroup/generated_chat_0.4M", "maharshipandya/spotify-tracks-dataset", "TokenBender/code_instructions_122k_alpaca_style", "Flmc/DISC-Med-SFT", "ShengbinYue/DISC-Law-SFT", "argilla/ultrafeedback-binarized-preferences", "multi_news", "nguha/legalbench", + "Squish42/bluemoon-fandom-1-1-rp-cleaned", "gorilla-llm/APIBench", "OpenAssistant/oasst_top1_2023-08-25", "joujiboi/japanese-anime-speech", "BAAI/CCI-Data", "conceptual_captions", "selfrag/selfrag_train_data", "MLCommons/peoples_speech", "laion/laion-coco", "gamino/wiki_medical_terms", + "yitingxie/rlhf-reward-datasets", "PKU-Alignment/PKU-SafeRLHF-10K", "graelo/wikipedia", "bitext/Bitext-customer-support-llm-chatbot-training-dataset", "AdaptLLM/finance-tasks", "XzJosh/audiodataset", "BAAI/TACO", "nvidia/ChatRAG-Bench", "google/boolq", "kdexd/red_caps", + "ccdv/pubmed-summarization", "ctheodoris/Genecorpus-30M", "Cohere/wikipedia-22-12-en-embeddings", "tasksource/bigbench", "junelee/sharegpt_deepl_ko", "elyza/ELYZA-tasks-100", "codefuse-ai/CodeExercise-Python-27k", "FreedomIntelligence/ALLaVA-4V", "NilanE/ParallelFiction-Ja_En-100k", "facebook/multilingual_librispeech", + "ms903/sovits4.0-768vec-layer12", "CohereForAI/xP3x", "princeton-nlp/SWE-bench", "allenai/ultrafeedback_binarized_cleaned", "sujet-ai/Sujet-Finance-Instruct-177k", "tau/commonsense_qa", "ccdv/arxiv-summarization", "AmazonScience/massive", "ShapeNet/ShapeNetCore", "bigbio/med_qa", + "Cohere/wikipedia-22-12-simple-embeddings", "lukaemon/mmlu", "bigcode/humanevalpack", "ArtifactAI/arxiv-math-instruct-50k", "dikw/hh_rlhf_cn", "food101", "allenai/qasper", "stanfordnlp/snli", "Helsinki-NLP/tatoeba_mt", "laion/laion-high-resolution", + "facebook/flores", "reazon-research/reazonspeech", "swype/instruct", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "cognitivecomputations/dolphin-coder", "McGill-NLP/WebLINX", "sarvamai/samvaad-hi-v1", "froggeric/creativity", "0-hero/Matter-0.1", "big_patent", + "cc100", "jhu-clsp/jfleg", "neulab/conala", "jmhessel/newyorker_caption_contest", "HuggingFace-CN-community/translation", "bigcode/commitpack", "akoksal/LongForm", "JourneyDB/JourneyDB", "OpenGVLab/InternVid", "heliosbrahma/mental_health_chatbot_dataset", + "mlsum", "google/xtreme_s", "Linaqruf/pixiv-niji-journey", "THUDM/webglm-qa", "starmpcc/Asclepius-Synthetic-Clinical-Notes", "fondant-ai/fondant-cc-25m", "jondurbin/airoboros-3.1", "wenge-research/yayi2_pretrain_data", "TuringsSolutions/NYTWritingStyleGuide", "KBlueLeaf/danbooru2023-sqlite", + "xx103/NYC_Motor_Vehicle_Collisions_and_Weather_Dataset", "bigcode/self-oss-instruct-sc2-exec-filter-50k", "natural_questions", "Helsinki-NLP/open_subtitles", "Dahoas/synthetic-instruct-gptj-pairwise", "open-llm-leaderboard/results", "teknium/trismegistus-project", "ro-h/regulatory_comments", "ibrahimhamamci/CT-RATE", "ruslanmv/ai-medical-chatbot", + "eli5", "cimec/lambada", "PhilipMay/stsb_multi_mt", "GEM/wiki_lingua", "euirim/goodwiki", "laion/220k-GPT4Vision-captions-from-LIVIS", "sc890/DEEPFRUlT_DATASET", "Replete-AI/code_bagel", "cifar10", "medical_questions_pairs", + "codeparrot/codeparrot-clean", "bigbench", "camel-ai/physics", "bigcode/commitpackft", "silk-road/ChatHaruhi-54K-Role-Playing-Dialogue", "clouditera/security-paper-datasets", "openerotica/freedom-rp", "Major-TOM/Core-S2L2A", "vblagoje/cc_news", "kilt_tasks", + "pg19", "allenai/winogrande", "aharley/rvl_cdip", "naver-clova-ix/cord-v2", "jamescalam/unsplash-25k-photos", "jkhedri/psychology-dataset", "grammarly/coedit", "Duxiaoman-DI/FinCorpus", "a686d380/h-corpus-2023", "teknium/dataforge-economics", + "jondurbin/cinematika-v0.1", "mlabonne/chatml_dpo_pairs", "hieunguyenminh/roleplay", "xz56/react-llama", "TeraflopAI/Caselaw_Access_Project", "coastalcph/lex_glue", "rotten_tomatoes", "yahoo_answers_topics", "miracl/miracl", "humarin/chatgpt-paraphrases", + "junelee/wizard_vicuna_70k", "csitfun/LogiCoT", "haonan-li/cmmlu", "shahules786/orca-best", "yuvalkirstain/pickapic_v2", "mozilla-foundation/common_voice_16_1", "Locutusque/UltraTextbooks-2.0", "m-a-p/MAP-CC", "google/code_x_glue_ct_code_to_text", "kmfoda/booksum", + "hoskinson-center/proof-pile", "kaiokendev/SuperCOT-dataset", "tatsu-lab/alpaca_eval", "kwaikeg/KAgentInstruct", "MaziyarPanahi/WizardLM_evol_instruct_V2_196k", "xnli", "Muennighoff/flan", "qwedsacf/grade-school-math-instructions", "rickRossie/bluemoon_roleplay_chat_data_300k_messages", "codeparrot/self-instruct-starcoder", + "umarbutler/open-australian-legal-corpus", "teleprint-me/phi-1", "google/dreambooth", "LDJnr/LessWrong-Amplify-Instruct", "ro-h/regulatory_comments_api", "Severian/Internal-Knowledge-Map", "lamini/earnings-calls-qa", "LanguageBind/Open-Sora-Plan-v1.0.0", "stanfordnlp/coqa", "allenai/ropes", + "ought/raft", "transformersbook/codeparrot", "nateraw/parti-prompts", "allenai/real-toxicity-prompts", "Muennighoff/natural-instructions", "argilla/databricks-dolly-15k-curated-multilingual", "alpindale/visual-novels", "Norquinal/claude_multiround_chat_30k", "yentinglin/TaiwanChat", "qgyd2021/chinese_ner_sft", + "LDJnr/Verified-Camel", "WenhaoWang/VidProM", "bigcode/the-stack-v2-dedup", "Cohere/wikipedia-2023-11-embed-multilingual-v3-int8-binary", "internlm/Agent-FLAN", "isidentical/moondream2-coyo-5M-captions", "fashion_mnist", "shibing624/nli_zh", "monash_tsf", "camel-ai/ai_society", + "michaelwzhu/ShenNong_TCM_Dataset", "linhtran92/viet_bud500", "Clinton/Text-to-sql-v1", "glaiveai/glaive-code-assistant-v2", "llmware/rag_instruct_benchmark_tester", "jovianzm/Pexels-400k", "WhiteRabbitNeo/WRN-Chapter-1", "Locutusque/function-calling-chatml", "ShimizuYuki/Marvel_network", "clips/mqa", + "toxigen/toxigen-data", "joelniklaus/Multi_Legal_Pile", "miracl/miracl-corpus", "alespalla/chatbot_instruction_prompts", "teknium/GPTeacher-General-Instruct", "jondurbin/airoboros-gpt4-1.4.1", "VMware/open-instruct", "allenai/reward-bench", "davanstrien/haiku_dpo", "klue", + "ncbi_disease", "wiki_lingua", "wikimedia/wit_base", "shunk031/JGLUE", "llm-wizard/alpaca-gpt4-data-zh", "Vision-CAIR/cc_sbu_align", "pharaouk/dharma-1", "jondurbin/airoboros-2.2.1", "Vezora/Tested-22k-Python-Alpaca", "HAERAE-HUB/KMMLU", + "MMInstruction/ArxivCap", "jondurbin/py-dpo-v0.1", "PleIAs/French-PD-Books", "CohereForAI/aya_evaluation_suite", "CohereForAI/aya_collection_language_split", "ClusterlabAi/101_billion_arabic_words_dataset", "google/imageinwords", "amazon_polarity", "ehovy/race", "oscar-corpus/OSCAR-2109", + "zh-plus/tiny-imagenet", "MoritzLaurer/multilingual-NLI-26lang-2mil7", "tyqiangz/multilingual-sentiments", "detection-datasets/fashionpedia", "EleutherAI/lambada_openai", "Anthropic/model-written-evals", "ds4sd/DocLayNet", "Zellic/smart-contract-fiesta", "FreedomIntelligence/huatuo_encyclopedia_qa", "Chinese-Vicuna/instruct_chat_50k.jsonl", + "Trelis/function_calling_extended", "FreedomIntelligence/Evol-Instruct-Chinese-GPT4", "Anthropic/discrim-eval", "nlpie/Llama2-MedTuned-Instructions", "PixArt-alpha/SAM-LLaVA-Captions10M", "AkitoP/Hscene-Speech", "mlqa", "webis/tldr-17", "trec", "biglam/europeana_newspapers", + "pacovaldez/stackoverflow-questions", "TigerResearch/sft_zh", "zjunlp/Mol-Instructions", "pufanyi/MIMICIT", "BAAI/JudgeLM-100K", "Trelis/function_calling_v3", "google/Synthetic-Persona-Chat", "FarReelAILab/Machine_Mindset_MBTI_dataset", "jtatman/stable-diffusion-prompts-stats-full-uncensored", "KBlueLeaf/danbooru2023-webp-4Mpixel", + "THUDM/LongAlign-10k", "LeoZhangzaolin/Graptoloidea-Specimens-Imaging", "ResplendentAI/NSFW_RP_Format_DPO", "RekaAI/VibeEval", "tomg-group-umd/cinepile", "banking77", "rmyeid/polyglot_ner", "tapaco", "deepset/germanquad", "laion/laion2B-multi", + "huggan/smithsonian_butterflies_subset", "CShorten/ML-ArXiv-Papers", "codeparrot/xlcost-text-to-code", "lukaemon/bbh", "thu-coai/Safety-Prompts", "IDEA-CCNL/Ziya-Eval-Chinese", "cognitivecomputations/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split", "beyond/rlhf-reward-single-round-trans_chinese", "jerryjalapeno/nart-100k-synthetic", "vikp/pypi_clean", + "cognitivecomputations/ultrachat-uncensored", "facebook/emu_edit_test_set", "playgroundai/MJHQ-30K", "zwn22/NC_Crime", "Shitao/MLDR", "Sayali9141/traffic_signal_images", "deutsche-telekom/Ger-RAG-eval", "billsum", "clue", "cuad", + "Helsinki-NLP/opus_books", "SLPL/naab", "Cohere/wikipedia-22-12", "MohamedRashad/ChatGPT-prompts", "HuggingFace-CN-community/Diffusion-book-cn", "HuggingFaceH4/instruction-dataset", "deepset/prompt-injections", "OpenLeecher/Teatime", "math-eval/TAL-SCQ5K", "HackerNoon/tech-company-news-data-dump", + "LLM360/AmberDatasets", "peiyi9979/Math-Shepherd", "Crystalcareai/MoD", "papluca/language-identification", "bigcode/the-stack-smol", "argilla/news-summary", "CarperAI/openai_summarize_comparisons", "argilla/databricks-dolly-15k-curated-en", "mikex86/stackoverflow-posts", "Anthropic/llm_global_opinions", + "akjindal53244/Arithmo-Data", "OpenLLM-France/Claire-Dialogue-French-0.1", "arbml/CIDAR", "snorkelai/Snorkel-Mistral-PairRM-DPO-Dataset", "PleIAs/US-PD-Newspapers", "yh0701/FracAtlas_dataset", "somosnlp/Reglamento_Aeronautico_Colombiano_2024GemmaQA", "omi-health/medical-dialogue-to-soap-summary", "argilla/Capybara-Preferences", "UCLNLP/adversarial_qa", + "conv_ai_2", "ccdv/govreport-summarization", "mozilla-foundation/common_voice_8_0", "nomic-ai/gpt4all_prompt_generations_with_p3", "hugfaceguy0001/retarded_bar", "lksy/ru_instruct_gpt4", "Linly-AI/Chinese-pretraining-dataset", "mosaicml/instruct-v3", "corbt/all-recipes", "VatsaDev/TinyText", + "google/docci", "linux-cn/archive", "Johnnyeee/Yelpdata_663", "HuggingFaceTB/cosmopedia-100k", "nyu-mll/blimp", "bookcorpusopen", "iwslt2017", "recipe_nlg", "Helsinki-NLP/tatoeba", "GEM/viggo", + "bavard/personachat_truecased", "segments/sidewalk-semantic", "PolyAI/banking77", "facebook/pmd", "zeroshot/twitter-financial-news-topic", "nuprl/MultiPL-E", "GBaker/MedQA-USMLE-4-options", "camel-ai/code", "merve/turkish_instructions", "tasksource/oasst1_pairwise_rlhf_reward", + "winddude/reddit_finance_43_250k", "tiedong/goat", "togethercomputer/RedPajama-Data-Instruct", "DKYoon/SlimPajama-6B", "Maxx0/sexting-nsfw-adultconten", "squarelike/OpenOrca-gugugo-ko", "MMInstruction/VLFeedback", "LLaVA-VL/llava-plus-data", "McAuley-Lab/Amazon-Reviews-2023", "Open-Orca/1million-gpt-4", + "gwenxin/pills_inside_bottles", "keithito/lj_speech", "conll2012_ontonotesv5", "mwritescode/slither-audited-smart-contracts", "bsmock/pubtables-1m", "tasksource/mmlu", "bigcode/bigcode-pii-dataset", "medalpaca/medical_meadow_wikidoc", "P01son/instructions", "ArtifactAI/arxiv-physics-instruct-tune-30k", + "mrtoy/mobile-ui-design", "nampdn-ai/tiny-orca-textbooks", "kyujinpy/KOpen-platypus", "YeungNLP/firefly-pretrain-dataset", "unalignment/airoboros-2.2", "totally-not-an-llm/EverythingLM-data-V3", "CASIA-LM/ChineseWebText", "NeuralNovel/Neural-DPO", "AI4Math/MathVerse", "ucinlp/drop", + "gigaword", "wider_face", "wiki_qa", "HUPD/hupd", "liweili/c4_200m", "nielsr/funsd-layoutlmv3", "IDEA-CCNL/laion2B-multi-chinese-subset", "dennlinger/eur-lex-sum", "mitclinicalml/clinical-ie", "Matthijs/cmu-arctic-xvectors", + "FredZhang7/stable-diffusion-prompts-2.47M", "philschmid/flanv2", "NTU-NLP-sg/xCodeEval", "MadVoyager/stable_diffusion_instructional_dataset", "zetavg/ShareGPT-Processed", "shibing624/nli-zh-all", "oscar-corpus/colossal-oscar-1.0", "greengerong/leetcode", "ProgramComputer/voxceleb", "allenai/paloma", + "jondurbin/airoboros-3.2", "facebook/anli", "ibm/duorc", "gem", "peluz/lener_br", "Helsinki-NLP/news_commentary", "paws-x", "clips/mfaq", "skytnt/anime-segmentation", "alkzar90/NIH-Chest-X-ray-dataset", + "olm/wikipedia", "jamescalam/youtube-transcriptions", "shjwudp/chinese-c4", "eloukas/edgar-corpus", "reasoning-machines/gsm-hard", "merve/my_notes", "timbrooks/instructpix2pix-clip-filtered", "liswei/rm-static-zhTW", "llm-wizard/alpaca-gpt4-data", "camel-ai/chemistry", + "THUDM/ImageRewardDB", "rewoo/planner_instruction_tuning_2k", "OpenLeecher/GPT4-10k", "breadlicker45/bread-midi-dataset", "Tarklanse/Traditional_Chinese_roleplay_chat_Dataset", "jat-project/jat-dataset", "lavita/ChatDoctor-HealthCareMagic-100k", "wuliangfo/Chinese-Pixiv-Novel", "knowrohit07/know_medical_dialogue_v2", "hackaprompt/hackaprompt-dataset", + "maywell/ko_wikidata_QA", "swechatelangana/chandamama-kathalu", "Idavidrein/gpqa", "HuggingFaceH4/deita-10k-v0-sft", "m-a-p/CMMMU", "dcayton/nba_tracking_data_15_16", "kunishou/J-ResearchCorpus", "FreedomIntelligence/ApolloCorpus", "lightblue/tagengo-gpt4", "jojo0217/korean_safe_conversation", + "hfl/ruozhiba_gpt4_turbo", "narrativeqa", "RussianNLP/russian_super_glue", "speech_commands", "karpathy/tiny_shakespeare", "wiki_dpr", "skt/kobest_v1", "laion/laion-art", "gigant/oldbookillustrations", "ontocord/OIG-moderation", + "cryscan/multilingual-share", "roneneldan/TinyStoriesInstruct", "hltcoe/megawika", "Aeala/ShareGPT_Vicuna_unfiltered", "64bits/lima_vicuna_format", "nampdn-ai/tiny-webtext", "BAAI/COIG-PC-Lite", "LinkSoul/Chinese-LLaVA-Vision-Instructions", "AdaptLLM/medicine-tasks", "MBZUAI/VideoInstruct-100K", + "jondurbin/contextual-dpo-v0.1", "matlok/multimodal-python-copilot-training-overview", "bai-roleplay/evol-character-200", "cathw/reddit_climate_comment", "wenbopan/Chinese-dpo-pairs", "AI-Lab-Makerere/beans", "indonlp/indonlu", "coastalcph/multi_eurlex", "superb", "universal_dependencies", + "Babelscape/wikineural", "pmc/open_access", "winvoker/turkish-sentiment-analysis-dataset", "edinburghcstr/ami", "Erythrocyte/Genshin_Datasets", "bigcode/the-stack-github-issues", "shibing624/CSC", "mattmdjaga/human_parsing_dataset", "camel-ai/biology", "hssd/hssd-hab", + "PKU-Alignment/BeaverTails", "rhasspy/piper-checkpoints", "visheratin/laion-coco-nllb", "iamtarun/code_instructions_120k_alpaca", "rombodawg/LosslessMegaCodeTrainingV3_1.6m_Evol", "vivym/midjourney-prompts", "qgyd2021/few_shot_intent_sft", "QuyenAnhDE/Diseases_Symptoms", "ajibawa-2023/Python-Code-23k-ShareGPT", "m-a-p/COIG-Kun", + "CausalLM/GPT-4-Self-Instruct-German", "shareAI/novelai3", "MinervaAI/Aesir-Preview", "wintercoming6/artwork_for_sdxl", "Salesforce/lotsa_data", "ForzaJuve1/UEFA_Euro_2020_Data", "mo-mittal/reddit_political_subs", "Targoman/TLPC", "paws", "web_questions", + "bigscience-data/roots_zh-cn_wikipedia", "laion/laion2B-en-aesthetic", "daekeun-ml/naver-news-summarization-ko", "CarperAI/openai_summarize_tldr", "competitions/aiornot", "huggingface/badges", "allenai/lila", "yuvalkirstain/pickapic_v1", "tatsu-lab/alpaca_farm", "cognitivecomputations/open-instruct-uncensored", + "CheshireAI/guanaco-unchained", "openchat/openchat_sharegpt_v3", "LinkSoul/LLaSM-Audio-Instructions", "totally-not-an-llm/EverythingLM-data-V2", "jinaai/code_exercises", "0-hero/prompt-perfect", "jamescalam/ai-arxiv-chunked", "maywell/ko_Ultrafeedback_binarized", "keirp/hungarian_national_hs_finals_exam", "laion/laion-pop", + "gvecchio/MatSynth", "baobab-trees/wikipedia-human-retrieval-ja", "mii-llm/gazzetta-ufficiale", "shachardon/ShareLM", "MohamedRashad/midjourney-detailed-prompts", "ade_corpus_v2", "cifar100", "mhardalov/exams", "josecannete/large_spanish_corpus", "quac", + "microsoft/xglue", "huggingface/documentation-images", "seamew/ChnSentiCorp", "tau/scrolls", "bible-nlp/biblenlp-corpus", "JulesBelveze/tldr_news", "christopher/rosetta-code", "inria-soda/tabular-benchmark", "beyond/chinese_clean_passages_80m", "bigbio/pubmed_qa", + "Cohere/miracl-zh-queries-22-12", "koutch/stackoverflow_python", "ACCA225/Kaggle-Stable-Diffusion", "Yasbok/Alpaca_arabic_instruct", "bertin-project/alpaca-spanish", "laion/laion400m", "axiong/pmc_oa", "medalpaca/medical_meadow_medical_flashcards", "dominguesm/Canarim-Instruct-PTBR-Dataset", "p1atdev/niji-v5", + "zetavg/coct-en-zh-tw-translations-twp-300k", "skeskinen/TinyStories-GPT4", "xmcmic/PMC-VQA", "beomi/KoAlpaca-v1.1a", "ecnu-icalk/educhat-sft-002-data-osm", "kyujinpy/OpenOrca-KO", "open-phi/programming_books_llama", "hkust-nlp/deita-10k-v0", "jxu124/OpenX-Embodiment", "m-a-p/MusicPile", + "ajibawa-2023/Code-290k-ShareGPT", "bai-roleplay/evol-character-entire", "minhanhto09/NuCLS_dataset", "cl-nagoya/auto-wiki-qa", "speechbrain/common_language", "sms_spam", "Babelscape/rebel-dataset", "cfilt/iitb-english-hindi", "gfissore/arxiv-abstracts-2021", "mozilla-foundation/common_voice_7_0", + "sil-ai/bloom-lm", "kensho/spgispeech", "bigscience/xP3all", "llm-wizard/dolly-15k-instruction-alpaca-format", "liyucheng/zhihu_26k", "tarungupta83/MidJourney_v5_Prompt_dataset", "jondurbin/airoboros-uncensored", "llm-blender/mix-instruct", "UmaDiffusion/ULTIMA", "BAAI/SVIT", + "AdiOO7/llama-2-finance", "togethercomputer/llama-instruct", "kingbri/PIPPA-shareGPT", "Minami-su/roleplay_multiturn_chat_1k_zh_v0.1", "Illia56/Military-Aircraft-Detection", "cis-lmu/Glot500", "facebook/emu_edit_test_set_generations", "Yukang/LongAlpaca-16k-length", "THUDM/CogVLM-SFT-311K", "qnguyen3/llava-fn-calling", + "Locutusque/hercules-v2.0", "HathawayLiu/housing_dataset", "bigcode/the-stack-v2-train-full-ids", "YXu120/NC_Education", "motherduckdb/duckdb-text2sql-25k", "Wenetspeech4TTS/WenetSpeech4TTS", "naklecha/minecraft-question-answer-700k", "HannahRoseKirk/prism-alignment", "arabic_speech_corpus", "allenai/common_gen", + "health_fact", "multi_woz_v22", "yahoo_answers_qa", "MLCommons/ml_spoken_words", "ucberkeley-dlab/measuring-hate-speech", "bigscience/xP3mt", "sayakpaul/nyu_depth_v2", "argilla/medical-domain", "nlphuji/flickr30k", "aadityaubhat/GPT-wiki-intro", + "nbertagnolli/counsel-chat", "theblackcat102/codex-math-qa", "RyokoAI/Syosetu711K", "emre/stanford-alpaca-cleaned-turkish-translated", "somosnlp-hackathon-2023/Habilidades_Agente_v1", "recastai/LAION-art-EN-improved-captions", "FreedomIntelligence/huatuo_knowledge_graph_qa", "FreedomIntelligence/ShareGPT-CN", "Mutonix/RefGPT-Fact", "nlpai-lab/databricks-dolly-15k-ko", + "TempoFunk/webvid-10M", "shinonomelab/cleanvid-15m_map", "smangrul/code-chat-assistant-v1", "OleehyO/latex-formulas", "daat/DATA", "axiong/pmc_llama_instructions", "AdaptLLM/law-tasks", "chargoddard/rpguild", "AiresPucrs/stanford-encyclopedia-philosophy", "amaai-lab/MusicBench", + "diffusers/pokemon-gpt4-captions", "migtissera/Tess-Coder-v1.0", "HaoyeZhang/RLHF-V-Dataset", "togethercomputer/glaive-function-calling-v2-formatted", "osunlp/TravelPlanner", "BioMistral/BioInstructQA", "misikoff/zillow", "MedRAG/pubmed", "Writer/omniact", "openbmb/UltraSafety", + "visheratin/realworldqa", "lorinma/ChineseEncyclopedia", "app_reviews", "msra_ner", "openslr", "riddle_sense", "zhoubolei/scene_parse_150", "allenai/scitldr", "tydiqa", "IlyaGusev/gazeta", + "albertvillanova/legal_contracts", "conceptual_12m", "textvqa", "VIMA/VIMA-Data", "hanamizuki-ai/genshin-voice-v3.3-mandarin", "Nerfgun3/sakimi-chan_LoRA", "cyberagent/crello", "jxm/the_office_lines", "WynterJones/chatgpt-roles", "gbharti/wealth-alpaca_lora", + "THUIR/T2Ranking", "IlyaGusev/ru_turbo_saiga", "tasksource/ScienceQA_text_only", "cvssp/WavCaps", "lighteval/MATH", "kunishou/oasst1-89k-ja", "zetavg/zh-tw-wikipedia", "lighteval/legal_summarization", "skeskinen/TinyStories-hf", "silk-road/chinese-dolly-15k", + "TigerResearch/tigerbot-zhihu-zh-10k", "open-llm-leaderboard/requests", "mlabonne/guanaco-llama2", "totally-not-an-llm/EverythingLM-data", "BELLE-2/train_3.5M_CN_With_Category", "rizerphe/glaive-function-calling-v2-llama", "rombodawg/LimitlessMegaCodeTraining", "re-align/just-eval-instruct", "IlyaGusev/pippa_scored", "IGNF/FLAIR", + "allenai/WildChat-nontoxic", "Unbabel/TowerBlocks-v0.1", "ShoukanLabs/AniSpeech", "unsloth/notebooks", "GAIR/MathPile_Commercial", "abacusai/MetaMathFewshot", "DiscoResearch/germanrag", "cdoswald/SPIDER", "yixuantt/MultiHopRAG", "instructkr/ko_elo_arena_0207", + "osunlp/SMolInstruct", "allenai/WildBench", "FuseAI/FuseChat-Mixture", "Vezora/Tested-143k-Python-Alpaca", "cats_vs_dogs", "tdavidson/hate_speech_offensive", "snow_simplified_japanese_corpus", "timit_asr", "web_nlg", "wiki_bio", + "kili-technology/plastic_in_river", "qanastek/MASSIVE", "google/wit", "sil-ai/bloom-speech", "FacePerceiver/laion-face", "codeparrot/codecomplex", "codeparrot/github-jupyter-code-to-text", "neuralworm/stable-diffusion-discord-prompts", "detection-datasets/coco", "Gxg/Math23K", + "ashraq/fashion-product-images-small", "animelover/genshin-impact-images", "suolyer/webqa", "fusing/fill50k", "dominguesm/alpaca-data-pt-br", "multimodalart/facesyntheticsspigacaptioned", "jiacheng-ye/logiqa-zh", "sam-mosaic/vicuna_alpaca_hc3_chatml", "thefcraft/civitai-stable-diffusion-337k", "Nan-Do/instructional_code-search-net-python", + "izumi-lab/llm-japanese-dataset-vanilla", "xmj2002/Chinese_modern_classical", "cognitivecomputations/based", "laion/strategic_game_chess", "jondurbin/airoboros-gpt4-1.2", "jondurbin/airoboros-gpt4-m2.0", "rombodawg/LosslessMegaCodeTrainingV2", "shareAI/CodeChat", "qgyd2021/h_novel", "BAAI/COIG-PC-core", + "Duxiaoman-DI/FinanceIQ", "Unified-Language-Model-Alignment/Anthropic_HH_Golden", "osunlp/TableInstruct", "CollectiveCognition/chats-data-2023-10-16", "hypervariance/function-calling-sharegpt", "google/reveal", "corbyrosset/researchy_questions", "Locutusque/Hercules-v3.0", "jmc255/aphantasia_drawing_dataset", "sayhan/strix-philosophy-qa", + "fnlp/AnyInstruct", "NousResearch/json-mode-eval", "XintongHe/Stomatal_Images_Datasets", "abacusai/MetaMath_DPO_FewShot", "coseal/CodeUltraFeedback", "BAAI/CCI2-Data", "Astris/LA-Times", "H-D-T/RLSTACK", "aqua_rat", "arabic_billion_words", + "google/code_x_glue_tc_text_to_code", "medal", "mt_eng_vietnamese", "quora", "vctk", "wmt/wmt19", "dalle-mini/YFCC100M_OpenAI_subset", "merve/poetry", "yhavinga/ccmatrix", "silver/personal_dialog", + "embedding-data/sentence-compression", "mozilla-foundation/common_voice_10_0", "m1guelpf/nouns", "Fazzie/Teyvat", "daspartho/stable-diffusion-prompts", "cardiffnlp/tweet_sentiment_multilingual", "PublicPrompts/Karsh", "MCG-NJU/MultiSports", "Dahoas/static-hh", "CarperAI/pilev2-dev", + "shibing624/AdvertiseGen", "andersonbcdefg/supernatural-instructions-2m", "azcorpus/azcorpus_v0", "cognitivecomputations/oa_leet10k", "Abrumu/Fashion_controlnet_dataset_V3", "tasksource/tasksource-instruct-v0", "wenge-research/yayi_domain_subset", "ignmilton/ign_clean_instruct_dataset_500k", "changpt/ko-lima-vicuna", "pankajmathur/alpaca_orca", + "marhensa/comfyui-workflow", "jondurbin/airoboros-2.1", "M-A-D/Mixed-Arabic-Datasets-Repo", "taide/TAIDE-14-tasks", "manu/project_gutenberg", "Lakera/gandalf_ignore_instructions", "goendalf666/sales-conversations", "yuyijiong/Multi-Doc-QA-Chinese", "fnlp/character-llm-data", "wenge-research/yayi_uie_sft_data", + "glaiveai/glaive-code-assistant-v3", "davidchan/anim400k", "prometheus-eval/Preference-Collection", "numind/NuNER", "YuxuanZhang888/ColonCancerCTDataset", "TIGER-Lab/SKGInstruct", "CyberNative/Code_Vulnerability_Security_DPO", "hiyouga/glaive-function-calling-v2-sharegpt", "ai4bharat/sangraha", "ontocord/viet4all", + "cloneofsimo/imagenet.int8", "Replete-AI/code_bagel_hermes-2.5", "acronym_identification", "cornell_movie_dialog", "fancyzhx/dbpedia_14", "esnli", "fever", "google/jigsaw_toxicity_pred", "xquad", "NbAiLab/NCC", + "ccdv/cnn_dailymail", "ccdv/patent-classification", "DFKI-SLT/few-nerd", "solomonk/reddit_mental_health_posts", "carolina-c4ai/corpus-carolina", "thu-coai/lccc", "fabiochiu/medium-articles", "FinanceInc/auditor_sentiment", "nateraw/midjourney-texttoimage-new", "HuggingFaceH4/self-instruct-seed", + "RyokoAI/CNNovel125K", "IndianaUniversityDatasetsModels/MIMIC-medical-report", "samhog/psychology-10k", "HuggingFaceH4/databricks_dolly_15k", "heegyu/open-korean-instructions", "logo-wizard/modern-logo-dataset", "sam-mosaic/hhrlhf_evol_chatml", "4eJIoBek/PAIT-Downloads", "kunishou/hh-rlhf-49k-ja", "fblgit/tree-of-knowledge", + "TigerResearch/tigerbot-law-plugin", "kaist-ai/Multilingual-CoT-Collection", "mcipriano/stackoverflow-kubernetes-questions", "jondurbin/airoboros-gpt4-1.4", "SALT-NLP/LLaVAR", "declare-lab/flan-mini", "jondurbin/airoboros-gpt4-2.0", "seungheondoh/LP-MusicCaps-MSD", "AILab-CVC/SEED-Bench", "zjunlp/InstructIE", + "nisaar/LLAMA2_Legal_Dataset_4.4k_Instructions", "nampdn-ai/tiny-lessons", "Healthy13/Text2SQL", "MBZUAI-LLM/SlimPajama-627B-DC", "a686d380/sis-novel", "fedml/PubMedQA_instruction", "meta-math/MetaMathQA-40K", "PocketDoc/Choose-Your-Story-Long-Text-Adventures", "SinKove/synthetic_mammography_csaw", "unalignment/spicy-3.1", + "locuslab/TOFU", "OpenGVLab/VideoChat2-IT", "LLM360/CrystalCoderDatasets", "argilla/ultrafeedback-curated", "HuggingFaceH4/grok-conversation-harmless", "HuggingFaceH4/OpenHermes-2.5-1k-longest", "Ziyuan111/DurhamTrees", "2A2I/Arabic-OpenHermes-2.5", "Locutusque/arc-cot", "osunlp/Multimodal-Mind2Web", + "rc9494/SP500_Date_Offset", "EleutherAI/lichess-puzzles", "conceptnet5", "cosmos_qa", "docred", "md_gender_bias", "mkqa", "onestop_english", "squad_kor_v1", "swag", + "tweets_hate_speech_detection", "wmt/wmt16", "ChristophSchuhmann/MS_COCO_2017_URL_TEXT", "SetFit/emotion", "ai4bharat/samanantar", "ccdv/arxiv-classification", "mteb/tweet_sentiment_extraction", "beki/privy", "zoheb/sketch-scene", "WINGNUS/ACL-OCL", + "haor/pixiv_month_top50", "HuggingFaceM4/COCO", "haor/pixiv-yandere", "Plachta/Umamusume-voice-text-pairs", "keremberke/chest-xray-classification", "keremberke/table-extraction", "silatus/1k_Website_Screenshots_and_Metadata", "IlyaGusev/habr", "KrakExilios/koreandoll", "pmoe7/SP_500_Stocks_Data-ratios_news_price_10_yrs", + "potsawee/wiki_bio_gpt3_hallucination", "RyokoAI/Fandom23K", "Bingsu/ko_alpaca_data", "medalpaca/medical_meadow_wikidoc_patient_information", "Papersnake/people_daily_news", "FreedomIntelligence/phoenix-sft-data-v1", "howard-hou/OCR-VQA", "silk-road/Vanilla-chinese-alpaca-luotuo", "danielv835/personal_finance_v0.2", "silk-road/Luotuo-QA-A-CoQA-Chinese", + "gretelai/symptom_to_diagnosis", "agkphysics/AudioSet", "YeungNLP/ultrachat", "Iess/chinese_modern_poetry", "wendlerc/RenderedText", "Oasis-Team/Oasis-Corpus", "qgyd2021/chinese_chitchat", "MattCoddity/dockerNLcommands", "yuyijiong/Long-Instruction", "Skywork/ChineseDomainModelingEval", + "xinrongzhang2022/InfiniteBench", "MohamedRashad/multilingual-tts", "silk-road/ChatHaruhi-Expand-118K", "Luckyjhg/Geo170K", "andersonbcdefg/synthetic_tuples_gpt35_turbo", "Rtian/DebugBench", "euclaise/reddit-instruct", "Locutusque/hercules-v1.0", "mastergopote44/Long-Term-Care-Aggregated-Data", "ontocord/CulturaY", + "Qdrant/dbpedia-entities-openai3-text-embedding-3-large-3072-1M", "mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha", "jg583/NSynth", "storytracer/LoC-PD-Books", "zhongshsh/CLoT-Oogiri-GO", "davidkim205/kollm-converations", "Locutusque/hercules-v4.0", "climate_fever", "cmrc2018", "mrqa", + "nq_open", "kyunghyuncho/search_qa", "ted_talks_iwslt", "ubuntu_dialogs_corpus", "SetFit/enron_spam", "gsarti/flores_101", "vblagoje/lfqa", "huggan/pokemon", "joelniklaus/lextreme", "OxAISH-AL-LLM/wiki_toxic", + "tomasg25/scientific_lay_summarisation", "svjack/pokemon-blip-captions-en-zh", "lambdalabs/naruto-blip-captions", "shunk031/wrime", "marmal88/skin_cancer", "IlyaGusev/rulm", "datadrivenscience/ship-detection", "Junity/UmaMusume-TokaiTeio-Dataset", "Den4ikAI/russian_dialogues", "LinhDuong/chatdoctor-200k", + "Nebulous/gpt4all_pruned", "camel-ai/ai_society_translated", "alpindale/light-novels", "iamketan25/roleplay-instructions-dataset", "VMware/open-instruct-v1-oasst-dolly-hhrlhf", "Nan-Do/code-search-net-python", "ShoukanLabs/OpenNiji-Dataset", "Birchlabs/openai-prm800k-stepwise-critic", "Norquinal/claude_evol_instruct_210k", "mlfoundations/datacomp_1b", + "tasksource/icl-symbol-tuning-instruct", "findnitai/english-to-hinglish", "pankajmathur/dolly-v2_orca", "sudy-super/dialogsum-ja", "sayakpaul/hf-codegen-v2", "FreedomIntelligence/CMB", "jamescalam/llama-2-arxiv-papers-chunked", "smangrul/hf-stack-v1", "abacusai/LongChat-Lines", "PetraAI/PetraAI", + "sinarashidi/alpaca-persian", "neural-bridge/rag-hallucination-dataset-1000", "google/trueteacher", "twang2218/chinese-law-and-regulations", "Loie/Auto-ACD", "CollectiveCognition/chats-data-2023-09-22", "CollectiveCognition/chats-data-2023-09-27", "a686d380/h-eval", "guangyil/laion-coco-aesthetic", "ajibawa-2023/Code-74k-ShareGPT", + "ChuckMcSneed/NeoEvalPlusN_benchmark", "matsuxr/JaGovFaqs-22k", "NobodyExistsOnTheInternet/ToxicQAFinal", "jondurbin/bagel-v0.3", "allenai/preference-test-sets", "xingyaoww/code-act", "moukaii/Tuberculosis_Dataset", "abacusai/ARC_DPO_FewShot", "tinyBenchmarks/tinyMMLU", "HPLT/hplt_monolingual_v1_2", + "maywell/koVast", "unicamp-dl/quati", "YanweiLi/MGM-Instruction", "BLINK-Benchmark/BLINK", "abacusai/SystemChat-1.1", "DLI-Lab/pearl", "Vi-VLM/Vista", "crd3", "hate_speech18", "Helsinki-NLP/kde4", + "kuznetsoffandrey/sberquad", "McGill-NLP/stereoset", "universal_morphologies", "wino_bias", "CAiRE/ASCEND", "huggingface/label-files", "laion/laion5B-index", "vicenteor/sbu_captions", "McGill-NLP/FaithDial", "LIUM/tedlium", + "AlekseyKorshuk/persona-chat", "allenai/multi_lexsum", "DeveloperOats/DBPedia_Classes", "shailja/Verilog_GitHub", "akariasai/PopQA", "deepghs/game_characters", "nlphuji/whoops", "FredZhang7/anime-prompts-180K", "HuggingFaceH4/instruct_me", "mozilla-foundation/common_voice_12_0", + "LangChainDatasets/agent-search-calculator", "jamescalam/langchain-docs", "cognitivecomputations/leet10k-alpaca", "Babelscape/multinerd", "kz-transformers/multidomain-kazakh-dataset", "LLMs/Alpaca-ShareGPT", "milashkaarshif/MoeGirlPedia_wikitext_raw_archive", "jainr3/diffusiondb-pixelart", "tau/zero_scrolls", "MU-NLPC/Calc-ape210k", + "dbdu/ShareGPT-74k-ko", "bavest/fin-llama-dataset", "TigerResearch/tigerbot-kaggle-leetcodesolutions-en-2k", "Slep/LAION-RVS-Fashion", "flaviagiammarino/vqa-rad", "L4NLP/LEval", "sudy-super/CoTangent", "newsletter/SDXL-Artists", "liuhaotian/llava-bench-in-the-wild", "mlabonne/CodeLlama-2-20k", + "lamini/lamini_docs", "marmikpandya/mental-health", "ibm-nasa-geospatial/multi-temporal-crop-classification", "Universal-NER/Pile-NER-type", "m720/SHADR", "nampdn-ai/tiny-math-textbooks", "squarelike/ko_medical_chat", "declare-lab/HarmfulQA", "OpenDriveLab/DriveLM", "neovalle/H4rmony", + "vibhorag101/phr_mental_therapy_dataset", "Vision-Flan/vision-flan_191-task_1k", "ahmed-masry/ChartQA", "ProlificAI/social-reasoning-rlhf", "BAAI/DataOptim", "Heralax/Augmental-Dataset", "LLM-Tuning-Safety/HEx-PHI", "kwaikeg/KAgentBench", "SeaLLMs/Sea-bench", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW-v1-SHUFFLED", + "yale-nlp/FOLIO", "RealTimeData/bbc_news_alltime", "HuggingFaceH4/orca_dpo_pairs", "NebulaeWis/gelbooru_images", "llm-blender/Unified-Feedback", "grimulkan/LimaRP-augmented", "cyberagent/chatbot-arena-ja-calm2-7b-chat-experimental", "ehristoforu/midjourney-images", "Jiwonny29/project1", "Major-TOM/Core-S2L1C", + "gorilla-llm/Berkeley-Function-Calling-Leaderboard", "julep-ai/openai-community-posts", "SALT-NLP/Design2Code", "Locutusque/OpenCerebrum-SFT", "m-a-p/CodeEditorBench", "chansung/merged_ds_coding", "spectrallabs/credit-scoring-training-dataset", "shareAI/DPO-zh-en-emoji", "rqq/GLM-4-Instruct-4K-zh", "Helsinki-NLP/bible_para", + "brwac", "conllpp", "covost2", "head_qa", "facebook/lama", "multi_x_science_sum", "ptb_text_only", "social_bias_frames", "sst", "the_pile_openwebtext2", + "wiki40b", "wiki_atomic_edits", "botisan-ai/cantonese-mandarin-translations", "nlpaueb/finer-139", "wikitablequestions", "silver/lccc", "facebook/content_rephrasing", "Twitter/TwitterFollowGraph", "Nerfgun3/wlop_style", "TheFusion21/PokemonCards", + "jeanlee/kmhas_korean_hate_speech", "sander-wood/irishman", "tobiolatunji/afrispeech-200", "swaption2009/20k-en-zh-translation-pinyin-hsk", "danielshemesh/midjourney", "Elfsong/ClinicalDataset", "Den4ikAI/russian_instructions", "paulofinardi/OIG_small_chip2_portuguese_brasil", "acheong08/nsfw_reddit", "VISION-Workshop/VISION-Datasets", + "P1ayer-1/chatgpt-conversations-chatlogs.net", "wavpub/JinJinLeDao_QA_Dataset", "lang-uk/every_prompt", "pki/SecurityGPT", "zjkarina/matreshka", "deepghs/nsfw_detect", "JasperLS/prompt-injections", "ccmusic-database/music_genre", "jondurbin/airoboros-gpt4", "TigerResearch/pretrain_en", + "mit-han-lab/awq-model-zoo", "Nan-Do/reason_code-search-net-python", "saldra/sakura_japanese_dataset", "explodinggradients/fiqa", "64bits/lex_fridman_podcast_for_llm_vicuna", "KShivendu/dbpedia-entities-openai-1M", "Glavin001/startup-interviews", "FredZhang7/toxi-text-3M", "joonhok-exo-ai/korean_law_open_data_precedents", "UmaDiffusion/ULTIMA-prompts", + "ArtifactAI/arxiv_python_research_code", "NebulaByte/E-Commerce_Customer_Support_Conversations", "HuggingFaceM4/LLaVAR-Instruct-16K", "Locutusque/InstructMix", "shahules786/Multi-chapter-summaries", "ai4privacy/pii-masking-65k", "Universal-NER/Pile-NER-definition", "jojo0217/korean_rlhf_dataset", "kernelmachine/open-license-corpus", "Xilabs/PIPPA-alpaca", + "Suprit/CMtMedQA", "ticoAg/Chinese-medical-dialogue", "Yirany/UniMM-Chat", "xuqinyang/BaiduBaike-5.63M", "jamescalam/agent-conversations-retrieval-tool", "zhiqings/LLaVA-Human-Preference-10K", "qgyd2021/rlhf_reward_dataset", "gathnex/Gath_baize", "a686d380/h-corpus-raw", "flytech/llama-python-codes-30k", + "open-phi/ft-sample-mistral", "hkust-nlp/deita-6k-v0", "Doctor-Shotgun/no-robots-sharegpt", "styletts2-community/multilingual-phonemes-10k-alpha", "imone/OpenOrca_FLAN", "osv5m/osv5m", "multimodalart/steamboat-willy-frames", "irlab-udc/metahate", "grimulkan/theory-of-mind", "ai4bharat/indic-instruct-data-v0.1", + "kobprof/skolegpt-instruct", "Ejafa/ye-pop", "steamcyclone/Pill_Ideologies-Post_Titles", "euclaise/reddit-instruct-curated", "VatsaDev/animebench-alpha", "0-hero/prompt-perfect-dpo", "MedRAG/textbooks", "TIGER-Lab/Mantis-Instruct", "ChuckMcSneed/various_RP_system_prompts", "chenmingxuan/Chinese-Patent-Summary", + "cassiekang/cub200_dataset", "antiven0m/catboros-3.2-dpo", "ai4privacy/pii-masking-300k", "multilingual/orca_dpo_pairs", "BigAction/the-wave-clean", "ami", "TheBritishLibrary/blbooks", "conv_ai_3", "e2e_nlg", "ethos", + "Helsinki-NLP/europarl", "hkcancor", "ucsbnlp/liar", "newsqa", "sem_eval_2018_task_1", "rcds/swiss_judgment_prediction", "told-br", "leondz/wnut_17", "CodedotAI/code_clippy_github", "castorini/mr-tydi", + "flax-sentence-embeddings/stackexchange_math_jsonl", "jfrenz/legalglue", "ml6team/cnn_dailymail_nl", "sentence-transformers/parallel-sentences", "sentence-transformers/reddit-title-body", "stas/openwebtext-10k", "Azu/Handwritten-Mathematical-Expression-Convert-LaTeX", "patriziobellan/PET", "mozilla-foundation/common_voice_9_0", "bloomberg/entsum", + "carblacac/twitter-sentiment-analysis", "HuggingFaceM4/VQAv2", "LHF/escorpius", "owaiskha9654/PubMed_MultiLabel_Text_Classification_Dataset_MeSH", "masakhane/mafand", "Muennighoff/P3", "Dahoas/instruct-synthetic-prompt-responses", "mjw/stock_market_tweets", "Korakoe/NijiJourney-Prompt-Pairs", "mrm8488/unnatural-instructions-full", + "yuvalkirstain/PickaPic", "keremberke/blood-cell-object-detection", "keremberke/license-plate-object-detection", "forta/malicious-smart-contract-dataset", "ChristophSchuhmann/essays-with-instructions", "HuggingFaceH4/helpful-instructions", "nanaaaa/emotion_chinese_english", "wbbbbb/pclue", "lansinuote/ChnSentiCorp", "katanaml-org/invoices-donut-data-v1", + "mxeval/mbxp", "somosnlp/somos-clean-alpaca-es", "amaydle/npc-dialogue", "KK04/LogicInference_OA", "rajuptvs/ecommerce_products_clip", "hanamizuki-ai/genshin-voice-v3.5-mandarin", "sukaka/novelai-webui", "icybee/share_gpt_90k_v1", "michelleyunun/therapydata", "jaydenccc/AI_Storyteller_Dataset", + "atasoglu/databricks-dolly-15k-tr", "PaulAdversarial/all_news_finance_sm_1h2023", "juletxara/mgsm", "FreedomIntelligence/huatuo26M-testdatasets", "mio/sukasuka-anime-vocal-dataset", "causalnlp/corr2cause", "tabtoyou/KoLLaVA-Instruct-150k", "ibm-nasa-geospatial/hls_burn_scars", "hkust-nlp/felm", "nisaar/Lawyer_GPT_India", + "mrzlab630/trading-candles", "ai4privacy/pii-masking-43k", "burkelibbey/colors", "SiberiaSoft/SiberianPersonaChat", "abacusai/WikiQA-Free_Form_QA", "LibrAI/do-not-answer", "nampdn-ai/mini-CoT-Collection", "nampdn-ai/devdocs.io", "TokenBender/roleplay_alpaca", "bupt/LawDataset-BUPT", + "jondurbin/airoboros-2.2", "apf1/datafilteringnetworks_2b", "04RR/tiny-instruct", "emozilla/yarn-train-tokenized-16k-mistral", "FreedomIntelligence/Huatuo26M-Lite", "Hypersniper/riddles_v1", "q-future/Q-Instruct-DB", "ai-forever/MERA", "THUDM/BPO", "echo840/Detailed_Caption", + "glnmario/news-qa-summarization", "TriadParty/deepsex-RP", "pixparse/cc3m-wds", "Minami-su/Anime_novel_datasets", "Gourieff/ReActor", "cognitivecomputations/Code-74k-ShareGPT-Vicuna", "dataautogpt3/Dalle3", "DL3DV/DL3DV-Benchmark", "CausalLM/GPT-4-Self-Instruct-Turkish", "sablo/oasst2_curated", + "STEM-AI-mtl/Electrical-engineering", "ikawrakow/imatrix-from-wiki-train", "somewheresystems/dataclysm-arxiv", "fblgit/simple-math", "fblgit/simple-math-DPO", "acon96/Home-Assistant-Requests", "Query-of-CC/Knowledge_Pile", "OpenDatasets/dalle-3-dataset", "ptx0/photo-concept-bucket", "zjunlp/iepile", + "BatsResearch/ctga-v1", "MMInstruction/ArxivQA", "hotchpotch/JQaRA", "sean0042/KorMedMCQA", "p1atdev/ichikara-instruction", "maywell/LogicKor", "davanstrien/dataset-tldr", "xcodemind/vision2ui", "lawinstruct/lawinstruct", "UCSC-VLAA/HQ-Edit", + "kigner/ruozhiba-llama3-tt", "H-D-T/Select-Stack", "alt", "ar_sarcasm", "assin2", "cbt", "eurlex", "facebook/kilt_wikipedia", "multilingual_librispeech", "reuters21578", + "sentiment140", "squad_es", "the_pile_stack_exchange", "wiki_movies", "Fraser/python-state-changes", "Hellisotherpeople/DebateSum", "SocialGrep/one-million-reddit-jokes", "blinoff/medical_qa_ru_data", "huggingface/transformers-metadata", "indonesian-nlp/id_newspapers_2018", + "openclimatefix/nimrod-uk-1km", "sentence-transformers/msmarco-hard-negatives", "nthngdy/oscar-small", "jiangjiechen/ekar_chinese", "sil-ai/bloom-captioning", "orieg/elsevier-oa-cc-by", "imagenet_sketch", "sileod/movie_recommendation", "quickdraw", "huggingface-legal/takedown-notices", + "demelin/moral_stories", "RUCAIBox/Chinese-Generation", "Bingsu/zeroth-korean", "shjwudp/shu", "CarperAI/pile-v2-small-filtered", "citeseerx/ACL-fig", "keremberke/painting-style-classification", "jordyvl/DUDE_loader", "mlfoundations/datacomp_pools", "Loie/VGGSound", + "artem9k/ai-text-detection-pile", "HuggingFaceH4/hhh_alignment", "hendrycks/ethics", "IlyaGusev/pikabu", "Aditya011/autotrain-data-nl-to-sql", "sedthh/tv_dialogue", "AnonymousSub/MedQuAD_Context_Question_Answer_Triples_TWO", "instruction-tuning-sd/cartoonization", "Polyglot-or-Not/Fact-Completion", "llm-wizard/Product-Descriptions-and-Ads", + "emplocity/owca", "FronkonGames/steam-games-dataset", "lucasmccabe-lmi/codex_math_qa_alpaca_style", "ms903/Diff-SVC-refactor-pre-trained-model", "FourthBrainGenAI/AI-Superstar-Dataset", "Maciel/FinCUGE-Instruction", "HuggingFaceH4/code_evaluation_prompts", "hoskinson-center/minif2f-lean4", "Fsoft-AIC/the-vault-function", "wangrongsheng/HealthCareMagic-100k-en", + "edarchimbaud/timeseries-1d-stocks", "lighteval/mmlu", "lucasmccabe-lmi/CodeAlpaca-20k", "DavidVivancos/MindBigData2023_MNIST-8B", "Meranti/CLAP_freesound", "flaviagiammarino/path-vqa", "projectlosangeles/Los-Angeles-MIDI-Dataset", "Babelscape/SREDFM", "Norquinal/claude_multi_instruct_1k", "shumpei2525/fine_tuning521k-ja", + "pankajmathur/orca_minis_uncensored_dataset", "flozi00/conversations", "InfImagine/FakeImageDataset", "wyzelabs/RuleRecommendation", "squarelike/sharegpt_deepl_ko_translation", "gpt4life/alpaca_claud_filtered", "pankajmathur/orca_mini_v1_dataset", "nampdn-ai/tiny-bridgedict", "cmcjas/SDXL_ComfyUI_workflows", "rombodawg/MegaCodeTraining", + "morpheuslord/cve-llm-training", "ymoslem/Law-StackExchange", "krisfu/awesome-llm-datasets-only-Chinese", "TaylorAI/pubmed_commercial", "kyujinpy/KoCoT_2000", "mychen76/invoices-and-receipts_ocr_v1", "kunishou/amenokaku-code-instruct", "approximatelabs/tablib-v1-sample", "swj0419/WikiMIA", "llmware/rag_instruct_test_dataset_0.1", + "rizerphe/glaive-function-calling-v2-zephyr", "yuyijiong/Book_Summary_Chinese", "winglian/no_robots_rlhf", "castorini/wura", "diffusers/benchmarks", "nuprl/EditPackFT", "craigwu/vstar_bench", "Undi95/toxic-dpo-v0.1-sharegpt", "kunishou/oasst2-135k-ja", "ChuckMcSneed/WolframRavenwolfs_benchmark_results", + "CausalLM/GPT-4-Self-Instruct-Japanese", "jtatman/stable-diffusion-prompts-uncensored", "lowres/anime", "MediaTek-Research/TCEval-v2", "AGBonnet/augmented-clinical-notes", "HuggingFaceH4/cai-conversation-harmless", "lmms-lab/VQAv2", "lmms-lab/DocVQA", "Mutonix/RefGPT-Fact-v2", "ba188/NHS_HES", + "ajibawa-2023/Children-Stories-Collection", "Vikhrmodels/LLaVA-Instruct-ru", "Doctor-Shotgun/theory-of-mind-dpo", "divyasharma0795/AppleVisionPro_Tweets", "TIGER-Lab/MATH-plus", "cgato/SlimOrcaDedupCleaned", "YanweiLi/MGM-Pretrain", "HuggingFaceH4/llava-instruct-mix-vsft", "fal-ai/imgsys-results", "mzbac/function-calling-llama-3-format-v1.1", + "aeslc", "aquamuse", "atomic", "consumer-finance-complaints", "cppe-5", "craigslist_bargains", "fquad", "google_wellformed_query", "interpress_news_category_tr_lite", "thu-coai/kd_conv_with_kb", + "kakaobrain/kor_nli", "para_pat", "poem_sentiment", "silicone", "story_cloze", "turkic_xwmt", "wi_locness", "fancyzhx/yelp_polarity", "CodedotAI/code_clippy", "SetFit/sst5", + "deepset/germandpr", "flax-sentence-embeddings/stackexchange_titlebody_best_and_down_voted_answer_jsonl", "microsoft/codexglue_method_generation", "nickmuchi/financial-classification", "uitnlp/vietnamese_students_feedback", "ydshieh/coco_dataset_script", "cgarciae/cartoonset", "DMetaSoul/chinese-semantic-textual-similarity", "ukr-models/Ukr-Synth", "Matthijs/snacks", + "csebuetnlp/CrossSum", "Moo/korean-parallel-corpora", "HuggingFaceM4/TGIF", "khalidalt/tydiqa-goldp", "mteb/amazon_reviews_multi", "silver/mmchat", "fmplaza/offendes", "ColumbiaNLP/FLUTE", "tner/ontonotes5", "jordanparker6/publaynet", + "tarteel-ai/quranqa", "OATML-Markslab/ProteinGym", "google/cvss", "RUCAIBox/Open-Dialogue", "cardiffnlp/tweet_topic_multi", "priyank-m/chinese_text_recognition", "skytnt/fbanimehq", "huggingface-projects/color-palettes-sd", "heegyu/namuwiki", "FremyCompany/BioLORD-Dataset", + "nikitam/ACES", "nitrosocke/arcane-diffusion-dataset", "Twitter/TwitterFaveGraph", "ju-resplande/qa-pt", "Short-Answer-Feedback/saf_communication_networks_english", "hoskinson-center/proofnet", "Erythrocyte/Diff-SVC_Genshin_Datasets", "nyanko7/pixiv_top50", "ashraf-ali/quran-data", "Nerfgun3/splash_art", + "nelorth/oxford-flowers", "laion/laion2b-en-vit-l-14-embeddings", "lsy641/PsyQA", "masakhane/masakhaner2", "alexandreteles/mental-health-conversational-data", "joelniklaus/legal_case_document_summarization", "Cohere/wikipedia-22-12-zh-embeddings", "ruanchaves/hatebr", "liyucheng/chinese_metaphor_dataset", "pierreguillou/DocLayNet-large", + "range3/cc100-ja", "Supermaxman/esa-hubble", "Den4ikAI/russian_instructions_2", "nlpcloud/instructions-dataset-adapted-from-stanford-alpaca-for-gpt-j", "medalpaca/medical_meadow_mediqa", "InstaDeepAI/multi_species_genomes", "larryvrh/WikiMatrix-v1-Ja_Zh-filtered", "IlyaGusev/ru_sharegpt_cleaned", "LEAP/ClimSim_high-res", "niizam/4chan-datasets", + "kunishou/databricks-dolly-69k-ja-en-translation", "enryu43/twitter100m_tweets", "heegyu/korquad-chat-v1", "griffin/ChemSum", "KakologArchives/KakologArchives", "openllmplayground/pandagpt_visual_instruction_dataset", "fujiki/japanese_alpaca_data", "zhiqings/dromedary-65b-verbose-clone-v0", "hammer888/interior_style_dataset", "edarchimbaud/timeseries-1m-stocks", + "FremyCompany/AGCT-Dataset", "project-sloth/captcha-images", "jondurbin/rosettacode-raw", "collabora/whisperspeech", "microsoft/LCC_csharp", "YeungNLP/school_math_0.25M", "portuguese-benchmark-datasets/BLUEX", "globis-university/aozorabunko-clean", "totally-not-an-llm/sharegpt-hyperfiltered-3k", "DAMO-NLP-MT/multialpaca", + "crumb/Wizard-EvolInstruct70k-k4", "d0rj/OpenOrca-ru", "jed351/Traditional-Chinese-Common-Crawl-Filtered", "v2ray/jannie-log", "abacusai/WikiQA-Altered_Numeric_QA", "ChrisHayduk/Llama-2-SQL-Dataset", "TempoFunk/hdvila-100M", "tyang816/MedChatZH", "Falah/image_generation_prompts_SDXL", "turing-motors/LLaVA-Instruct-150K-JA", + "OpenAssistant/OASST-DE", "jitx/Methods2Test_java_unit_test_code", "llvm-ml/ComPile", "BleachNick/MIC_full", "bugdaryan/sql-create-context-instruction", "harvard-lil/cold-cases", "knowrohit07/ArithmeLogic", "mikonvergence/LAION-EO", "euclaise/writingprompts", "erhwenkuo/medical_dialogue-chinese-zhtw", + "Nexusflow/NexusRaven_API_evaluation", "jackhhao/jailbreak-classification", "cmalaviya/expertqa", "meta-math/GSM8K_Backward", "jamescalam/ai-arxiv", "yuyijiong/Long-instruction-en2zh", "microsoft/kitab", "MemGPT/MSC-Self-Instruct", "AI-Secure/DecodingTrust", "ShashiVish/cover-letter-dataset", + "umarigan/turkiye_finance_qa", "allenai/scirepeval", "tahrirchi/uz-books", "yuyijiong/LongPaper_multitask", "pseudolab/MedSi", "lavita/medical-qa-datasets", "vilm/OpenOrca-Viet", "kyujinpy/KOR-OpenOrca-Platypus-v3", "akemiH/NoteChat", "openerotica/erotiquant", + "listen2you002/ChartLlama-Dataset", "saillab/taco-datasets", "nuprl/CanItEdit", "kyujinpy/orca_math_dpo", "adamkarvonen/chess_games", "blancsw/oasst2_top1_chat_format", "Awiny/Howto-Interlink7M", "NobodyExistsOnTheInternet/ToxicDPOqa", "VatsaDev/worldbuild", "lorinma/NL2SQL_zh", + "mlabonne/chessllm", "genggui001/gg_zh_v1_550B", "DL3DV/DL3DV-ALL-4K", "paraloq/json_data_extraction", "tastypear/unalignment-toxic-dpo-v0.2-zh_cn", "hpprc/jawiki", "eduagarcia/LegalPT_dedup", "christopherthompson81/quant_exploration", "alvarobartt/dpo-mix-7k-simplified", "ucekmez/OpenOrca-tr", + "ehristoforu/dalle-3-images", "ivrit-ai/whisper-training", "SPRIGHT-T2I/spright", "coseal/CodeUltraFeedback_binarized", "ParasiticRogue/Bluemoon-Light", "wdndev/webnovel-chinese", "jondurbin/bagel-v0.5", "Lin-Chen/MMStar", "tolgadev/turkish_73k_instruct_extended", "Babelscape/ALERT_DPO", + "kigner/ruozhiba-llama3", "davanstrien/dataset-tldr-preference-dpo", "facebook/asset", "blog_authorship_corpus", "c3", "clinc_oos", "eli5_category", "mohnish/lc_quad", "lm1b", "para_crawl", + "spanish_billion_words", "squad_kor_v2", "squad_v1_pt", "swda", "thaisum", "wmt/wmt14", "SetFit/20_newsgroups", "bertin-project/mc4-sampling", "lbox/lbox_open", "codeparrot/codeparrot-clean-train", + "thomwolf/github-python", "Adapting/empathetic_dialogues_v2", "Bingsu/Human_Action_Recognition", "mustapha/QuranExe", "ceyda/fashion-products-small", "frgfm/imagenette", "naver-clova-ix/synthdog-en", "bigscience/evaluation-results", "pcuenq/oxford-pets", "SLPL/syntran-fa", + "RUCAIBox/Story-Generation", "jonathanli/law-stack-exchange", "ai-forever/school_notebooks_RU", "ashraq/esc50", "waifu-research-department/regularization", "sbx/superlim-2", "ashraq/financial-news", "AluminiumOxide/personal_latent_diffusion", "elenanereiss/german-ler", "Nerfgun3/flower_style", + "lmqg/qa_harvesting_from_wikipedia", "Nerfgun3/land_style", "NeelNanda/counterfact-tracing", "VietAI/vi_pubmed", "andyyang/stable_diffusion_prompts_2m", "its5Q/yandex-q", "wanng/laion-high-resolution-chinese", "Salesforce/rose", "Jean-Baptiste/financial_news_sentiment", "diltdicker/romance_novel_data-2022", +} diff --git a/services/worker/tests/fixtures/datasets.py b/services/worker/tests/fixtures/datasets.py index c5fd112b..54d7756a 100644 --- a/services/worker/tests/fixtures/datasets.py +++ b/services/worker/tests/fixtures/datasets.py @@ -163,0 +164,15 @@ def datasets() -> Mapping[str, Dataset]: + "presidio_scan": Dataset.from_pandas( + pd.DataFrame( + { + "col": [ + "My name is Giovanni Giorgio", + "but everyone calls me Giorgio", + "My IP address is 192.168.0.1", + "My SSN is 345-67-8901", + "My email is [email protected]", + None, + ] + }, + dtype=pd.StringDtype(storage="python"), + ) + ), diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index b7aabf93..77aa2744 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -303,0 +304,7 @@ def hub_public_spawning_opt_in_out(datasets: Mapping[str, Dataset]) -> Iterator[ [email protected](scope="session") +def hub_public_presidio_scan(datasets: Mapping[str, Dataset]) -> Iterator[str]: + repo_id = create_hub_dataset_repo(prefix="presidio_scan", dataset=datasets["presidio_scan"]) + yield repo_id + delete_hub_dataset_repo(repo_id=repo_id) + + @@ -642,0 +650,18 @@ def create_dataset_info_response_for_audio(dataset: str, config: str) -> Any: +def create_dataset_info_response_for_presidio_scan(dataset: str, config: str) -> Any: + dataset_name = dataset.split("/")[-1] + return { + "description": "", + "citation": "", + "homepage": "", + "license": "", + "features": PRESIDIO_SCAN_cols, + "builder_name": "parquet", + "config_name": config, + "dataset_name": dataset_name, + "version": {"version_str": "0.0.0", "major": 0, "minor": 0, "patch": 0}, + "splits": {"train": {"name": "train", "num_bytes": 12345, "num_examples": 6, "dataset_name": None}}, + "download_size": 12345, + "dataset_size": 12345, + } + + @@ -645 +670 @@ def create_parquet_and_info_response( - data_type: Literal["csv", "big-csv", "audio", "big_parquet", "big_parquet_no_info"], + data_type: Literal["csv", "big-csv", "audio", "big_parquet", "big_parquet_no_info", "presidio-scan"], @@ -667,0 +693,2 @@ def create_parquet_and_info_response( + else create_dataset_info_response_for_presidio_scan(dataset, config) + if data_type == "presidio-scan" @@ -833,0 +861,16 @@ SPAWNING_OPT_IN_OUT_rows = ["http://testurl.test/test_image.jpg", "http://testur +PRESIDIO_SCAN_cols = { + "col": [{"_type": "Value", "dtype": "string"}], +} + +PRESIDIO_SCAN_rows = [ + {"col": text} + for text in [ + "My name is Giovanni Giorgio", + "but everyone calls me Giorgio", + "My IP address is 192.168.0.1", + "My SSN is 345-67-8901", + "My email is [email protected]", + None, + ] +] + @@ -1022,0 +1066,15 @@ def hub_responses_spawning_opt_in_out(hub_public_spawning_opt_in_out: str) -> Hu [email protected] +def hub_responses_presidio_scan(hub_public_presidio_scan: str) -> HubDatasetTest: + return { + "name": hub_public_presidio_scan, + "config_names_response": create_config_names_response(hub_public_presidio_scan), + "splits_response": create_splits_response(hub_public_presidio_scan), + "first_rows_response": create_first_rows_response( + hub_public_presidio_scan, PRESIDIO_SCAN_cols, PRESIDIO_SCAN_rows + ), + "parquet_and_info_response": create_parquet_and_info_response( + dataset=hub_public_presidio_scan, data_type="presidio-scan" + ), + } + + diff --git a/services/worker/tests/job_runners/split/test_presidio_scan.py b/services/worker/tests/job_runners/split/test_presidio_scan.py new file mode 100644 index 00000000..64732f5f --- /dev/null +++ b/services/worker/tests/job_runners/split/test_presidio_scan.py @@ -0,0 +1,470 @@ +# SPDX-License-Identifier: Apache-2.0 +# Copyright 2023 The HuggingFace Authors. + +from collections.abc import Callable, Mapping +from dataclasses import replace +from http import HTTPStatus +from typing import Any + +import pytest +from libcommon.dtos import Priority +from libcommon.resources import CacheMongoResource, QueueMongoResource +from libcommon.simple_cache import upsert_response + +from worker.config import AppConfig +from worker.job_runners.split.presidio_scan import ( + SplitPresidioEntitiesScanJobRunner, +) +from worker.resources import LibrariesResource + +from ...fixtures.hub import HubDatasetTest, get_default_config_split +from ..utils import REVISION_NAME + +GetJobRunner = Callable[[str, str, str, AppConfig], SplitPresidioEntitiesScanJobRunner] + + [email protected] +def get_job_runner( + libraries_resource: LibrariesResource, + cache_mongo_resource: CacheMongoResource, + queue_mongo_resource: QueueMongoResource, +) -> GetJobRunner: + def _get_job_runner( + dataset: str, + config: str, + split: str, + app_config: AppConfig, + ) -> SplitPresidioEntitiesScanJobRunner: + upsert_response( + kind="dataset-config-names", + dataset=dataset, + dataset_git_revision=REVISION_NAME, + content={"config_names": [{"dataset": dataset, "config": config}]}, + http_status=HTTPStatus.OK, + ) + + upsert_response( + kind="config-split-names", + dataset=dataset, + dataset_git_revision=REVISION_NAME, + config=config, + content={"splits": [{"dataset": dataset, "config": config, "split": split}]}, + http_status=HTTPStatus.OK, + ) + + return SplitPresidioEntitiesScanJobRunner( + job_info={ + "type": SplitPresidioEntitiesScanJobRunner.get_job_type(), + "params": { + "dataset": dataset, + "revision": REVISION_NAME, + "config": config, + "split": split, + }, + "job_id": "job_id", + "priority": Priority.NORMAL, + "difficulty": 70, + }, + app_config=app_config, + hf_datasets_cache=libraries_resource.hf_datasets_cache, + ) + + return _get_job_runner + + +DEFAULT_EMPTY_RESPONSE = { + "scanned_columns": [], + "num_in_vehicle_registration_entities": 0, + "num_organization_entities": 0, + "num_sg_nric_fin_entities": 0, + "num_person_entities": 0, + "num_credit_card_entities": 0, + "num_medical_license_entities": 0, + "num_nrp_entities": 0, + "num_us_ssn_entities": 0, + "num_crypto_entities": 0, + "num_date_time_entities": 0, + "num_location_entities": 0, + "num_us_driver_license_entities": 0, + "num_phone_number_entities": 0, + "num_url_entities": 0, + "num_us_passport_entities": 0, + "num_age_entities": 0, + "num_au_acn_entities": 0, + "num_email_address_entities": 0, + "num_in_pan_entities": 0, + "num_ip_address_entities": 0, + "num_id_entities": 0, + "num_us_bank_number_entities": 0, + "num_in_aadhaar_entities": 0, + "num_us_itin_entities": 0, + "num_au_medicare_entities": 0, + "num_iban_code_entities": 0, + "num_au_tfn_entities": 0, + "num_uk_nhs_entities": 0, + "num_email_entities": 0, + "num_au_abn_entities": 0, + "num_rows_with_in_vehicle_registration_entities": 0, + "num_rows_with_organization_entities": 0, + "num_rows_with_sg_nric_fin_entities": 0, + "num_rows_with_person_entities": 0, + "num_rows_with_credit_card_entities": 0, + "num_rows_with_medical_license_entities": 0, + "num_rows_with_nrp_entities": 0, + "num_rows_with_us_ssn_entities": 0, + "num_rows_with_crypto_entities": 0, + "num_rows_with_date_time_entities": 0, + "num_rows_with_location_entities": 0, + "num_rows_with_us_driver_license_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_url_entities": 0, + "num_rows_with_us_passport_entities": 0, + "num_rows_with_age_entities": 0, + "num_rows_with_au_acn_entities": 0, + "num_rows_with_email_address_entities": 0, + "num_rows_with_in_pan_entities": 0, + "num_rows_with_ip_address_entities": 0, + "num_rows_with_id_entities": 0, + "num_rows_with_us_bank_number_entities": 0, + "num_rows_with_in_aadhaar_entities": 0, + "num_rows_with_us_itin_entities": 0, + "num_rows_with_au_medicare_entities": 0, + "num_rows_with_iban_code_entities": 0, + "num_rows_with_au_tfn_entities": 0, + "num_rows_with_uk_nhs_entities": 0, + "num_rows_with_email_entities": 0, + "num_rows_with_au_abn_entities": 0, + "num_scanned_rows": 0, + "has_scanned_columns": False, + "full_scan": None, + "entities": [], +} + + [email protected]( + "name,rows_max_number,expected_content", + [ + ( + "public", + 100_000, + DEFAULT_EMPTY_RESPONSE, + ), + ( + "presidio_scan", + 100_000, # dataset has less rows + { + "scanned_columns": ["col"], + "num_in_vehicle_registration_entities": 0, + "num_organization_entities": 0, + "num_sg_nric_fin_entities": 0, + "num_person_entities": 2, + "num_credit_card_entities": 0, + "num_medical_license_entities": 0, + "num_nrp_entities": 0, + "num_us_ssn_entities": 1, + "num_crypto_entities": 0, + "num_date_time_entities": 0, + "num_location_entities": 0, + "num_us_driver_license_entities": 0, + "num_phone_number_entities": 0, + "num_url_entities": 0, + "num_us_passport_entities": 0, + "num_age_entities": 0, + "num_au_acn_entities": 0, + "num_email_address_entities": 1, + "num_in_pan_entities": 0, + "num_ip_address_entities": 1, + "num_id_entities": 0, + "num_us_bank_number_entities": 0, + "num_in_aadhaar_entities": 0, + "num_us_itin_entities": 0, + "num_au_medicare_entities": 0, + "num_iban_code_entities": 0, + "num_au_tfn_entities": 0, + "num_uk_nhs_entities": 0, + "num_email_entities": 0, + "num_au_abn_entities": 0, + "num_rows_with_in_vehicle_registration_entities": 0, + "num_rows_with_organization_entities": 0, + "num_rows_with_sg_nric_fin_entities": 0, + "num_rows_with_person_entities": 2, + "num_rows_with_credit_card_entities": 0, + "num_rows_with_medical_license_entities": 0, + "num_rows_with_nrp_entities": 0, + "num_rows_with_us_ssn_entities": 1, + "num_rows_with_crypto_entities": 0, + "num_rows_with_date_time_entities": 0, + "num_rows_with_location_entities": 0, + "num_rows_with_us_driver_license_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_url_entities": 0, + "num_rows_with_us_passport_entities": 0, + "num_rows_with_age_entities": 0, + "num_rows_with_au_acn_entities": 0, + "num_rows_with_email_address_entities": 1, + "num_rows_with_in_pan_entities": 0, + "num_rows_with_ip_address_entities": 1, + "num_rows_with_id_entities": 0, + "num_rows_with_us_bank_number_entities": 0, + "num_rows_with_in_aadhaar_entities": 0, + "num_rows_with_us_itin_entities": 0, + "num_rows_with_au_medicare_entities": 0, + "num_rows_with_iban_code_entities": 0, + "num_rows_with_au_tfn_entities": 0, + "num_rows_with_uk_nhs_entities": 0, + "num_rows_with_email_entities": 0, + "num_rows_with_au_abn_entities": 0, + "num_scanned_rows": 6, + "has_scanned_columns": True, + "full_scan": True, + "entities": [ + {"column_name": "col", "row_idx": 0, "text": "Gi*** Gi*", "type": "PERSON"}, + {"column_name": "col", "row_idx": 1, "text": "Gi**", "type": "PERSON"}, + {"column_name": "col", "row_idx": 2, "text": "19.**..", "type": "IP_ADDRESS"}, + {"column_name": "col", "row_idx": 3, "text": "34--", "type": "US_SSN"}, + { + "column_name": "col", + "row_idx": 4, + "text": "gi**.***@****.", + "type": "EMAIL_ADDRESS", + }, + ], + }, + ), + ( + "presidio_scan", + 3, # dataset has more rows + { + "scanned_columns": ["col"], + "num_in_vehicle_registration_entities": 0, + "num_organization_entities": 0, + "num_sg_nric_fin_entities": 0, + "num_person_entities": 2, + "num_credit_card_entities": 0, + "num_medical_license_entities": 0, + "num_nrp_entities": 0, + "num_us_ssn_entities": 0, + "num_crypto_entities": 0, + "num_date_time_entities": 0, + "num_location_entities": 0, + "num_us_driver_license_entities": 0, + "num_phone_number_entities": 0, + "num_url_entities": 0, + "num_us_passport_entities": 0, + "num_age_entities": 0, + "num_au_acn_entities": 0, + "num_email_address_entities": 0, + "num_in_pan_entities": 0, + "num_ip_address_entities": 1, + "num_id_entities": 0, + "num_us_bank_number_entities": 0, + "num_in_aadhaar_entities": 0, + "num_us_itin_entities": 0, + "num_au_medicare_entities": 0, + "num_iban_code_entities": 0, + "num_au_tfn_entities": 0, + "num_uk_nhs_entities": 0, + "num_email_entities": 0, + "num_au_abn_entities": 0, + "num_rows_with_in_vehicle_registration_entities": 0, + "num_rows_with_organization_entities": 0, + "num_rows_with_sg_nric_fin_entities": 0, + "num_rows_with_person_entities": 2, + "num_rows_with_credit_card_entities": 0, + "num_rows_with_medical_license_entities": 0, + "num_rows_with_nrp_entities": 0, + "num_rows_with_us_ssn_entities": 0, + "num_rows_with_crypto_entities": 0, + "num_rows_with_date_time_entities": 0, + "num_rows_with_location_entities": 0, + "num_rows_with_us_driver_license_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_url_entities": 0, + "num_rows_with_us_passport_entities": 0, + "num_rows_with_age_entities": 0, + "num_rows_with_au_acn_entities": 0, + "num_rows_with_email_address_entities": 0, + "num_rows_with_in_pan_entities": 0, + "num_rows_with_ip_address_entities": 1, + "num_rows_with_id_entities": 0, + "num_rows_with_us_bank_number_entities": 0, + "num_rows_with_in_aadhaar_entities": 0, + "num_rows_with_us_itin_entities": 0, + "num_rows_with_au_medicare_entities": 0, + "num_rows_with_iban_code_entities": 0, + "num_rows_with_au_tfn_entities": 0, + "num_rows_with_uk_nhs_entities": 0, + "num_rows_with_email_entities": 0, + "num_rows_with_au_abn_entities": 0, + "num_scanned_rows": 3, + "has_scanned_columns": True, + "full_scan": False, + "entities": [ + {"column_name": "col", "row_idx": 0, "text": "Gi*** Gi*", "type": "PERSON"}, + {"column_name": "col", "row_idx": 1, "text": "Gi**", "type": "PERSON"}, + {"column_name": "col", "row_idx": 2, "text": "19.**..", "type": "IP_ADDRESS"}, + ], + }, + ), + ( + "presidio_scan", + 6, # dataset has same amount of rows + { + "scanned_columns": ["col"], + "num_in_vehicle_registration_entities": 0, + "num_organization_entities": 0, + "num_sg_nric_fin_entities": 0, + "num_person_entities": 2, + "num_credit_card_entities": 0, + "num_medical_license_entities": 0, + "num_nrp_entities": 0, + "num_us_ssn_entities": 1, + "num_crypto_entities": 0, + "num_date_time_entities": 0, + "num_location_entities": 0, + "num_us_driver_license_entities": 0, + "num_phone_number_entities": 0, + "num_url_entities": 0, + "num_us_passport_entities": 0, + "num_age_entities": 0, + "num_au_acn_entities": 0, + "num_email_address_entities": 1, + "num_in_pan_entities": 0, + "num_ip_address_entities": 1, + "num_id_entities": 0, + "num_us_bank_number_entities": 0, + "num_in_aadhaar_entities": 0, + "num_us_itin_entities": 0, + "num_au_medicare_entities": 0, + "num_iban_code_entities": 0, + "num_au_tfn_entities": 0, + "num_uk_nhs_entities": 0, + "num_email_entities": 0, + "num_au_abn_entities": 0, + "num_rows_with_in_vehicle_registration_entities": 0, + "num_rows_with_organization_entities": 0, + "num_rows_with_sg_nric_fin_entities": 0, + "num_rows_with_person_entities": 2, + "num_rows_with_credit_card_entities": 0, + "num_rows_with_medical_license_entities": 0, + "num_rows_with_nrp_entities": 0, + "num_rows_with_us_ssn_entities": 1, + "num_rows_with_crypto_entities": 0, + "num_rows_with_date_time_entities": 0, + "num_rows_with_location_entities": 0, + "num_rows_with_us_driver_license_entities": 0, + "num_rows_with_phone_number_entities": 0, + "num_rows_with_url_entities": 0, + "num_rows_with_us_passport_entities": 0, + "num_rows_with_age_entities": 0, + "num_rows_with_au_acn_entities": 0, + "num_rows_with_email_address_entities": 1, + "num_rows_with_in_pan_entities": 0, + "num_rows_with_ip_address_entities": 1, + "num_rows_with_id_entities": 0, + "num_rows_with_us_bank_number_entities": 0, + "num_rows_with_in_aadhaar_entities": 0, + "num_rows_with_us_itin_entities": 0, + "num_rows_with_au_medicare_entities": 0, + "num_rows_with_iban_code_entities": 0, + "num_rows_with_au_tfn_entities": 0, + "num_rows_with_uk_nhs_entities": 0, + "num_rows_with_email_entities": 0, + "num_rows_with_au_abn_entities": 0, + "num_scanned_rows": 6, + "has_scanned_columns": True, + "full_scan": True, + "entities": [ + {"column_name": "col", "row_idx": 0, "text": "Gi*** Gi*", "type": "PERSON"}, + {"column_name": "col", "row_idx": 1, "text": "Gi**", "type": "PERSON"}, + {"column_name": "col", "row_idx": 2, "text": "19.**..", "type": "IP_ADDRESS"}, + {"column_name": "col", "row_idx": 3, "text": "34--", "type": "US_SSN"}, + { + "column_name": "col", + "row_idx": 4, + "text": "gi**.***@****.*", + "type": "EMAIL_ADDRESS", + }, + ], + }, + ), + ], +) +def test_compute( + hub_responses_public: HubDatasetTest, + hub_responses_presidio_scan: HubDatasetTest, + app_config: AppConfig, + get_job_runner: GetJobRunner, + name: str, + rows_max_number: int, + expected_content: Mapping[str, Any], +) -> None: + hub_datasets = {"public": hub_responses_public, "presidio_scan": hub_responses_presidio_scan} + dataset = hub_datasets[name]["name"] + upstream_content = hub_datasets[name]["parquet_and_info_response"] + config, split = get_default_config_split() + job_runner = get_job_runner( + dataset, + config, + split, + replace(app_config, presidio_scan=replace(app_config.presidio_scan, rows_max_number=rows_max_number)), + ) + upsert_response( + kind="config-parquet-and-info", + dataset=dataset, + dataset_git_revision=REVISION_NAME, + config=config, + content=upstream_content, + job_runner_version=1, + progress=1.0, + http_status=HTTPStatus.OK, + ) + response = job_runner.compute() + assert response + assert response.content == expected_content + + [email protected]( + "dataset,columns_max_number,upstream_content,upstream_status,exception_name", + [ + ("DVUser/doesnotexist", 10, {}, HTTPStatus.OK, "CachedArtifactNotFoundError"), + ("DVUser/wrong_format", 10, {}, HTTPStatus.OK, "PreviousStepFormatError"), + ( + "DVUser/upstream_failed", + 10, + {}, + HTTPStatus.INTERNAL_SERVER_ERROR, + "CachedArtifactError", + ), + ], +) +def test_compute_failed( + app_config: AppConfig, + get_job_runner: GetJobRunner, + dataset: str, + columns_max_number: int, + upstream_content: Mapping[str, Any], + upstream_status: HTTPStatus, + exception_name: str, +) -> None: + config, split = get_default_config_split() + job_runner = get_job_runner( + dataset, + config, + split, + replace(app_config, urls_scan=replace(app_config.urls_scan, columns_max_number=columns_max_number)), + ) + if dataset != "DVUser/doesnotexist": + upsert_response( + kind="config-parquet-and-info", + dataset=dataset, + config=config, + content=upstream_content, + dataset_git_revision=REVISION_NAME, + job_runner_version=1, + progress=1.0, + http_status=upstream_status, + ) + with pytest.raises(Exception) as exc_info: + job_runner.compute() + assert exc_info.typename == exception_name
8bb418ae722833201fdc2dc3bbadb338a54f4132	Andrea Francis Soria Jimenez	[email protected]	2024-05-17T21:44:00	doc: BM25 and Porter stemmer reference (#2830)	diff --git a/docs/source/search.md b/docs/source/search.md index 4ce20228..5f784219 100644 --- a/docs/source/search.md +++ b/docs/source/search.md @@ -15,0 +16,7 @@ The text is searched in the columns of type `string`, even if the values are nes +<Tip> + +We use [DuckDB](https://duckdb.org/docs/) for [full text search](https://duckdb.org/docs/extensions/full_text_search.html) with the `BM25` (Best Match 25) algorithm. `BM25` is a ranking algorithm for information retrieval and search engines that determines a document’s relevance to a given query and ranks documents based on their relevance scores. +[`Porter` stemmer](https://tartarus.org/martin/PorterStemmer/) (which assumes English text) is used to reduce words to their root or base form, known as the stem. This process, called stemming, involves removing suffixes and prefixes from words to identify their core meaning. The purpose of a stemmer is to improve search accuracy and efficiency by ensuring that different forms of a word are recognized as the same term. + +</Tip> +
521711c4237200344081c49f164562f1dcc3656a	Andrea Francis Soria Jimenez	[email protected]	2024-05-17T21:21:29	fix: Empty split list (#2829)	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 4d44024c..a46c5b5b 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 @@ -748,0 +749,3 @@ def fill_builder_info( + else: + builder.info.splits.add(SplitInfo(split, num_bytes=0, num_examples=0)) + diff --git a/services/worker/src/worker/job_runners/config/split_names.py b/services/worker/src/worker/job_runners/config/split_names.py index 1c3c565c..489c3157 100644 --- a/services/worker/src/worker/job_runners/config/split_names.py +++ b/services/worker/src/worker/job_runners/config/split_names.py @@ -63,0 +64,4 @@ def compute_split_names_from_streaming_response( + [~`libcommon.exceptions.SplitNamesFromStreamingError`]: + If the split names could not be obtained using the datasets library. + [~`libcommon.exceptions.DatasetWithTooManySplitsError`]: + If the config has too many splits. @@ -120,0 +125,2 @@ def compute_split_names_from_info_response(dataset: str, config: str, max_number + [~`libcommon.exceptions.DatasetWithTooManySplitsError`]: + If the config has too many splits. diff --git a/services/worker/tests/fixtures/hub.py b/services/worker/tests/fixtures/hub.py index 5eb26d6c..b7aabf93 100644 --- a/services/worker/tests/fixtures/hub.py +++ b/services/worker/tests/fixtures/hub.py @@ -15 +15 @@ import requests -from datasets import Dataset, DatasetBuilder, load_dataset_builder +from datasets import Dataset, DatasetBuilder, Features, Value, load_dataset_builder @@ -440,0 +441,19 @@ def three_parquet_splits_paths( [email protected](scope="session") +def hub_public_parquet_splits_empty_rows(tmp_path_factory: pytest.TempPathFactory) -> Iterator[str]: + path = str(tmp_path_factory.mktemp("data") / "train.parquet") + with open(path, "wb") as f: + Dataset.from_dict( + {"col": []}, + features=Features( + { + "col": Value("string"), + } + ), + ).to_parquet(f) + + repo_id = create_hub_dataset_repo(prefix="hub_public_parquet_splits_empty_rows", file_paths=[path]) + + yield repo_id + delete_hub_dataset_repo(repo_id=repo_id) + + 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 212d7b1f..50da5ee2 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 @@ -834,0 +835,16 @@ def test_fill_builder_info_multiple_parquets( +def test_fill_builder_info_empty_rows( + hub_public_parquet_splits_empty_rows: str, + app_config: AppConfig, + tmp_path: Path, +) -> None: + cache_dir = str(tmp_path / "test_fill_builder_info_empty_rows") + name = hub_public_parquet_splits_empty_rows + builder = load_dataset_builder(name, cache_dir=cache_dir) + builder.info = datasets.info.DatasetInfo() + validate = ParquetFileValidator(max_row_group_byte_size=100_000).validate + fill_builder_info(builder, hf_endpoint=app_config.common.hf_endpoint, hf_token=None, validate=validate) + assert "train" in builder.info.splits + assert builder.info.splits["train"].num_examples == 0 + assert builder.info.splits["train"].num_bytes == 0 + +
60a714bc25c87693902da8f4510a6f055c3406a6	Quentin Lhoest	[email protected]	2024-05-17T20:12:51	Fix truncation for urls (#2834)	diff --git a/libs/libcommon/src/libcommon/viewer_utils/rows.py b/libs/libcommon/src/libcommon/viewer_utils/rows.py index 6b2959c2..2c09d1ef 100644 --- a/libs/libcommon/src/libcommon/viewer_utils/rows.py +++ b/libs/libcommon/src/libcommon/viewer_utils/rows.py @@ -172,2 +172 @@ def create_first_rows_response( - and row[col].startswith("http://") - or row[col].startswith("https://") + and (row[col].startswith("http://") or row[col].startswith("https://")) diff --git a/libs/libcommon/tests/fixtures/datasets.py b/libs/libcommon/tests/fixtures/datasets.py index 7cdc4b4b..dac4cc69 100644 --- a/libs/libcommon/tests/fixtures/datasets.py +++ b/libs/libcommon/tests/fixtures/datasets.py @@ -188,0 +189,7 @@ def datasets_fixtures() -> Mapping[str, DatasetFixture]: + 0, + ), + "urls": DatasetFixture( + value("https://foo.bar", pd.StringDtype(storage="python")), + {"_type": "Value", "dtype": "string"}, + "https://foo.bar", + [], diff --git a/libs/libcommon/tests/viewer_utils/test_rows.py b/libs/libcommon/tests/viewer_utils/test_rows.py index 077a60f5..7cbb1708 100644 --- a/libs/libcommon/tests/viewer_utils/test_rows.py +++ b/libs/libcommon/tests/viewer_utils/test_rows.py @@ -107,0 +108 @@ def test_create_first_rows_response_truncated( + ("urls", 268 + SOME_BYTES, "complete"), @@ -114 +115 @@ def test_create_first_rows_response_truncated( - # - not truncated for top-level Audio and Image features + # - not truncated for top-level Audio and Image features and urls @@ -117,0 +119 @@ def test_create_first_rows_response_truncated( + ("urls", 268 - SOME_BYTES, "complete"), @@ -126,0 +129 @@ def test_create_first_rows_response_truncated( + ("urls", 10, "error"),
b77abec44a74a3ea98ad2d9f7870e5ce1287fd4b	Quentin Lhoest	[email protected]	2024-05-17T15:51:24	Don't truncate urls (#2833)	diff --git a/libs/libcommon/src/libcommon/viewer_utils/rows.py b/libs/libcommon/src/libcommon/viewer_utils/rows.py index a8a341e2..6b2959c2 100644 --- a/libs/libcommon/src/libcommon/viewer_utils/rows.py +++ b/libs/libcommon/src/libcommon/viewer_utils/rows.py @@ -7 +7 @@ from typing import Protocol -from datasets import Audio, Features, Image +from datasets import Audio, Features, Image, Value @@ -19,0 +20,2 @@ from libcommon.viewer_utils.truncate_rows import create_truncated_row_items +URL_COLUMN_RATIO = 0.3 + @@ -158 +160,21 @@ def create_first_rows_response( - columns_to_keep_untruncated = [col for col, feature in features.items() if isinstance(feature, (Image, Audio))] + columns_to_keep_untruncated = [ + col + for col, feature in features.items() + if isinstance(feature, (Image, Audio)) + or ( # column of URLs + isinstance(feature, Value) + and feature.dtype == "string" + and len(transformed_rows) > 0 + and sum( + ( + col in row + and isinstance(row[col], str) + and row[col].startswith("http://") + or row[col].startswith("https://") + ) + for row in transformed_rows + ) + / len(transformed_rows) + > URL_COLUMN_RATIO + ) + ]
0e601f5cf69f1a0cd85ab743298130623be002ed	Quentin Lhoest	[email protected]	2024-05-17T15:01:03	Fix webdatset multipart ext and npz (#2831)	diff --git a/front/admin_ui/poetry.lock b/front/admin_ui/poetry.lock index 1c218a27..23bd657b 100644 --- a/front/admin_ui/poetry.lock +++ b/front/admin_ui/poetry.lock @@ -666,2 +666,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1454 +1454 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -2095,0 +2096 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -2108,0 +2110 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -2114,0 +2117 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -3019 +3021,0 @@ 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 c66a07c1..bf47f142 100644 --- a/jobs/cache_maintenance/poetry.lock +++ b/jobs/cache_maintenance/poetry.lock @@ -583,2 +583,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1037 +1037 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1631,0 +1632 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1644,0 +1646 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1650,0 +1653 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2491 +2493,0 @@ 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 d2e62fc6..79c3376b 100644 --- a/jobs/mongodb_migration/poetry.lock +++ b/jobs/mongodb_migration/poetry.lock @@ -583,2 +583,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1037 +1037 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1631,0 +1632 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1644,0 +1646 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1650,0 +1653 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2491 +2493,0 @@ 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 dafa2dd5..a25b9099 100644 --- a/libs/libapi/poetry.lock +++ b/libs/libapi/poetry.lock @@ -601,2 +601,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1127 +1127 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1794,0 +1795 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1807,0 +1809 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1813,0 +1816 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2446 +2448,0 @@ files = [ - {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2454 +2455,0 @@ files = [ - {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2457,6 +2457,0 @@ files = [ - {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, - {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, - {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, - {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, - {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, - {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2479 +2473,0 @@ files = [ - {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2487 +2480,0 @@ files = [ - {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -2595,0 +2589,5 @@ files = [ + {file = "scikit_learn-1.3.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:ef540e09873e31569bc8b02c8a9f745ee04d8e1263255a15c9969f6f5caa627f"}, + {file = "scikit_learn-1.3.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:9147a3a4df4d401e618713880be023e36109c85d8569b3bf5377e6cd3fecdeac"}, + {file = "scikit_learn-1.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2cd3634695ad192bf71645702b3df498bd1e246fc2d529effdb45a06ab028b4"}, + {file = "scikit_learn-1.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0c275a06c5190c5ce00af0acbb61c06374087949f643ef32d355ece12c4db043"}, + {file = "scikit_learn-1.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:0e1aa8f206d0de814b81b41d60c1ce31f7f2c7354597af38fae46d9c47c45122"}, @@ -2716 +2713,0 @@ 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 7d6b1151..ac920a1d 100644 --- a/libs/libcommon/poetry.lock +++ b/libs/libcommon/poetry.lock @@ -619,2 +619,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1812,0 +1813 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1825,0 +1827 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1831,0 +1834 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2736 +2738,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, @@ -3710 +3712 @@ python-versions = "3.9.18" -content-hash = "5022ec5e1bb007f7926ceda6208e6a87b950e824fd87ea09278cfbecc724a4d9" +content-hash = "eee1a4f54e1b5c9ddc6694382232b8a2d4554f74e6b79136a7a65b73a4d548e0" diff --git a/libs/libcommon/pyproject.toml b/libs/libcommon/pyproject.toml index 703a220a..fc44b1bf 100644 --- a/libs/libcommon/pyproject.toml +++ b/libs/libcommon/pyproject.toml @@ -12 +12 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} # branch = "datasets-2.19.1-hotfix" +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} # branch = "datasets-2.19.1-hotfix" diff --git a/services/admin/poetry.lock b/services/admin/poetry.lock index 8082d2c3..e21c3e01 100644 --- a/services/admin/poetry.lock +++ b/services/admin/poetry.lock @@ -597,2 +597,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1128 +1128 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1722,0 +1723 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1735,0 +1737 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1741,0 +1744 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2620 +2622,0 @@ 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 77022034..b783f1dd 100644 --- a/services/api/poetry.lock +++ b/services/api/poetry.lock @@ -597,2 +597,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1147 +1147 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1741,0 +1742 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1754,0 +1756 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1760,0 +1763 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2671 +2673,0 @@ 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 95b5bbd3..30c635dc 100644 --- a/services/rows/poetry.lock +++ b/services/rows/poetry.lock @@ -615,2 +615,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1193 +1193 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1894,0 +1895 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1907,0 +1909 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1913,0 +1916 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2858 +2860,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, diff --git a/services/search/poetry.lock b/services/search/poetry.lock index 850c6298..0e43a16d 100644 --- a/services/search/poetry.lock +++ b/services/search/poetry.lock @@ -596,2 +596,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1216 +1216 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1813,0 +1814 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1826,0 +1828 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1832,0 +1835 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2450 +2452,0 @@ files = [ - {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2458 +2459,0 @@ files = [ - {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2461,6 +2461,0 @@ files = [ - {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, - {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, - {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, - {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, - {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, - {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2483 +2477,0 @@ files = [ - {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2491 +2484,0 @@ files = [ - {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -2835 +2827,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"}, diff --git a/services/sse-api/poetry.lock b/services/sse-api/poetry.lock index 41483dd3..dd5c288a 100644 --- a/services/sse-api/poetry.lock +++ b/services/sse-api/poetry.lock @@ -608,2 +608,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1198 +1198 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -1855,0 +1856 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -1868,0 +1870 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -1874,0 +1877 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -2525 +2527,0 @@ files = [ - {file = "PyYAML-6.0.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:326c013efe8048858a6d312ddd31d56e468118ad4cdeda36c719bf5bb6192290"}, @@ -2533 +2534,0 @@ files = [ - {file = "PyYAML-6.0.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e7d73685e87afe9f3b36c799222440d6cf362062f78be1013661b00c5c6f678b"}, @@ -2536,6 +2536,0 @@ files = [ - {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, - {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, - {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, - {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, - {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, - {file = "PyYAML-6.0.1-cp312-cp312-win_amd64.whl", hash = "sha256:0d3304d8c0adc42be59c5f8a4d9e3d7379e6955ad754aa9d6ab7a398b59dd1df"}, @@ -2558 +2552,0 @@ files = [ - {file = "PyYAML-6.0.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:49a183be227561de579b4a36efbb21b3eab9651dd81b1858589f796549873dd6"}, @@ -2566 +2559,0 @@ files = [ - {file = "PyYAML-6.0.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:04ac92ad1925b2cff1db0cfebffb6ffc43457495c9b3c39d3fcae417d7125dc5"}, @@ -2795 +2787,0 @@ 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 19bfe6be..54122f9d 100644 --- a/services/worker/poetry.lock +++ b/services/worker/poetry.lock @@ -771,2 +771,2 @@ url = "https://github.com/huggingface/datasets.git" -reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" -resolved_reference = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb" +reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" +resolved_reference = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3" @@ -1478 +1478 @@ cryptography = "^42.0.4" -datasets = {git = "https://github.com/huggingface/datasets.git", rev = "3638183e2f7e0dce8924e46e7cc21bf6d5d7adfb", extras = ["audio", "vision"]} +datasets = {git = "https://github.com/huggingface/datasets.git", rev = "11a27e9a7484a17c6d08d6a838364f9913f7bfd3", extras = ["audio", "vision"]} @@ -2316,0 +2317 @@ files = [ + {file = "pandas-2.2.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c7adfc142dac335d8c1e0dcbd37eb8617eac386596eb9e1a1b77791cf2498238"}, @@ -2329,0 +2331 @@ files = [ + {file = "pandas-2.2.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e9b79011ff7a0f4b1d6da6a61aa1aa604fb312d6647de5bad20013682d1429ce"}, @@ -2335,0 +2338 @@ files = [ + {file = "pandas-2.2.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9057e6aa78a584bc93a13f0a9bf7e753a5e9770a30b4d758b8d5f2a62a9433cd"}, @@ -3720 +3722,0 @@ files = [ - {file = "soundfile-0.12.1-py2.py3-none-manylinux_2_17_x86_64.whl", hash = "sha256:2dc3685bed7187c072a46ab4ffddd38cef7de9ae5eb05c03df2ad569cf4dacbc"},
3f2d043603c67068686a5ae9f70f4c55d875e151	Remy	[email protected]	2024-05-16T22:24:58	fix(chart): sseApi service to nodePort (#2827)	diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml index b8416d7d..d68221a3 100644 --- a/chart/env/staging.yaml +++ b/chart/env/staging.yaml @@ -264,0 +265,4 @@ search: +sseApi: + service: + type: NodePort +
38a46ba6384466074d4be4b9de47a74fa8a011b4	Remy	[email protected]	2024-05-16T22:15:27	fix(chart): service type override (#2826)	diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml index b2c0ed1c..b8416d7d 100644 --- a/chart/env/staging.yaml +++ b/chart/env/staging.yaml @@ -221 +221 @@ api: - alb.ingress.kubernetes.io/actions.openapi-redirect: '{"Type":"redirect","RedirectConfig":{"Host":"raw.githubusercontent.com","Path":"/huggingface/dataset-viewer/main/docs/source/openapi.json","Port":"443","Protocol":"HTTPS","Query":"#{query}","StatusCode":"HTTP_307"}}' + alb.ingress.kubernetes.io/actions.openapi-redirect: '{"Type":"redirect","RedirectConfig":{"Host":"raw.githubusercontent.com","Path":"/huggingface/dataset-viewer/main/docs/source/openapi.json","Port":"443","Protocol":"HTTPS","Query":"#{query}","StatusCode":"HTTP_302"}}' diff --git a/chart/templates/services/admin/service.yaml b/chart/templates/services/admin/service.yaml index 4286bc16..28def059 100644 --- a/chart/templates/services/admin/service.yaml +++ b/chart/templates/services/admin/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.admin.service.type \| default .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/api/service.yaml b/chart/templates/services/api/service.yaml index 0c828818..94b7b8cd 100644 --- a/chart/templates/services/api/service.yaml +++ b/chart/templates/services/api/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.api.service.type \| default .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/rows/service.yaml b/chart/templates/services/rows/service.yaml index cb68827d..b0dd8a3e 100644 --- a/chart/templates/services/rows/service.yaml +++ b/chart/templates/services/rows/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.rows.service.type \| default .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/search/service.yaml b/chart/templates/services/search/service.yaml index 99fc7504..2bca11dd 100644 --- a/chart/templates/services/search/service.yaml +++ b/chart/templates/services/search/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.search.service.type \| default .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/sse-api/service.yaml b/chart/templates/services/sse-api/service.yaml index 9945b0d3..fde07bd1 100644 --- a/chart/templates/services/sse-api/service.yaml +++ b/chart/templates/services/sse-api/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.sseApi.service.type \| default .Values.global.huggingface.service.type }}
8396078aee09d184abc96e2b662708b461881bd2	Sylvain Lesage	[email protected]	2024-05-16T21:41:36	Remove nginx reverse proxy from Helm chart (#2816)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 3145d44c..2e0b971a 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -11 +10,0 @@ global: - proxy: 30931 @@ -21,5 +19,0 @@ images: - reverseProxy: - useGlobalRegistry: false - registry: docker.io - repository: nginx - tag: "1.20" @@ -255,15 +249 @@ cacheMetricsCollector: -# --- reverse proxy --- - -reverseProxy: - nodeSelector: - role-datasets-server: "true" - replicas: 2 - resources: - requests: - cpu: 1 - memory: "64Mi" - limits: - cpu: 1 - memory: "256Mi" - service: - type: NodePort +# --- ALB --- diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml index 4940ecad..b2c0ed1c 100644 --- a/chart/env/staging.yaml +++ b/chart/env/staging.yaml @@ -16,5 +15,0 @@ images: - reverseProxy: - useGlobalRegistry: false - registry: docker.io - repository: nginx - tag: "1.25.3" @@ -182,13 +177 @@ queueMetricsCollector: -# --- reverse proxy --- - -reverseProxy: - replicas: 1 - resources: - requests: - cpu: 100m - memory: "64Mi" - limits: - cpu: 1 - memory: "256Mi" - service: - type: NodePort +# --- ALB --- diff --git a/chart/templates/_common/_helpers.tpl b/chart/templates/_common/_helpers.tpl index e375c929..5952df00 100644 --- a/chart/templates/_common/_helpers.tpl +++ b/chart/templates/_common/_helpers.tpl @@ -29,4 +28,0 @@ Docker image management -{{- define "reverseproxy.image" -}} -{{ include "hf.common.images.image" (dict "imageRoot" .Values.images.reverseProxy "global" .Values.global.huggingface) }} -{{- end -}} - @@ -73,5 +68,0 @@ Common labels -{{- define "labels.reverseProxy" -}} -{{ include "hf.labels.commons" . }} -app.kubernetes.io/component: "{{ include "name" . }}-reverse-proxy" -{{- end -}} - @@ -138,7 +128,0 @@ app.kubernetes.io/component: "{{ include "name" . }}-worker-{{ .workerValues.dep -{{/* -Return the api ingress anotation -/}} -{{- define "datasetsServer.ingress.annotations" -}} -{{ .Values.ingress.annotations \| toYaml }} -{{- end -}} - @@ -186,65 +169,0 @@ The parquet-metadata/ subpath in the EFS -{{/ -The duckdb-index/ subpath in EFS -- in a subdirectory named as the chart (dataset-viewer/), and below it, -- in a subdirectory named as the Release, so that Releases will not share the same dir -/}} -{{- define "duckDBIndex.subpath" -}} -{{- printf "%s/%s/%s/" .Chart.Name .Release.Name "duckdb-index" }} -{{- end }} - -{{/ -The URL to access the mongodb instance created if mongodb.enable is true -It's named using the Release name -/}} -{{- define "mongodb.url" -}} -{{- printf "mongodb://%s-mongodb" .Release.Name }} -{{- end }} - -{{/ -The URL to access the admin service from another container -See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records -/}} -{{- define "admin.url" -}} -{{- printf "http://%s-admin.%s.svc.cluster.local:80" ( include "name" . ) ( .Release.Namespace ) }} -{{- end }} - -{{/ -The URL to access the API service from another container -See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records -/}} -{{- define "api.url" -}} -{{- printf "http://%s-api.%s.svc.cluster.local:80" ( include "name" . ) ( .Release.Namespace ) }} -{{- end }} - -{{/ -The URL to access the rows service from another container -See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records -/}} -{{- define "rows.url" -}} -{{- printf "http://%s-rows.%s.svc.cluster.local:80" ( include "name" . ) ( .Release.Namespace ) }} -{{- end }} - -{{/ -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 }} - -{{/ -The URL to access the SSE API service from another container -See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records -/}} -{{- define "sseApi.url" -}} -{{- printf "http://%s-sse-api.%s.svc.cluster.local:80" ( include "name" . ) ( .Release.Namespace ) }} -{{- end }} - -{{/ -The URL to access the worker service from another container -See https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#a-aaaa-records -*/}} -{{- define "worker.url" -}} -{{- printf "http://%s-worker.%s.svc.cluster.local:80" ( include "name" . ) ( .Release.Namespace ) }} -{{- end }} - diff --git a/chart/templates/_volumes/_volumeDuckDBIndex.tpl b/chart/templates/_volumes/_volumeDuckDBIndex.tpl deleted file mode 100644 index 8e8415fc..00000000 --- a/chart/templates/_volumes/_volumeDuckDBIndex.tpl +++ /dev/null @@ -1,8 +0,0 @@ -# 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/ingress.yaml b/chart/templates/ingress.yaml deleted file mode 100644 index 4e9f52da..00000000 --- a/chart/templates/ingress.yaml +++ /dev/null @@ -1,23 +0,0 @@ -{{- if and .Values.global.huggingface.ingress.enabled .Values.ingress.enabled .Values.reverseProxy.ingress.enabled -}} -apiVersion: networking.k8s.io/v1 -kind: Ingress -metadata: - {{- $annotations := fromYaml (include "datasetsServer.ingress.annotations" .) }} - annotations: {{ toYaml $annotations \| nindent 4 }} - labels: {{ include "labels.reverseProxy" . \| nindent 4 }} - name: {{ include "name" . }} - namespace: {{ .Release.Namespace }} -spec: - rules: - - host: {{ include "datasetsServer.ingress.hostname" . }} - http: - paths: - - backend: - service: - name: "{{ include "name" . }}-reverse-proxy" - port: - name: http - path: / - pathType: Prefix -{{- include "ingress.tls" (merge (dict "annotations" $annotations) $ ) \| indent 2}} -{{- end }} diff --git a/chart/templates/reverse-proxy/_container.tpl b/chart/templates/reverse-proxy/_container.tpl deleted file mode 100644 index 6b3a5854..00000000 --- a/chart/templates/reverse-proxy/_container.tpl +++ /dev/null @@ -1,46 +0,0 @@ -# SPDX-License-Identifier: Apache-2.0 -# Copyright 2022 The HuggingFace Authors. - -{{- define "containerReverseProxy" -}} -- name: "{{ include "name" . }}-reverse-proxy" - image: {{ include "reverseproxy.image" . }} - imagePullPolicy: {{ .Values.images.pullPolicy }} - env: - - name: OPENAPI_FILE - value: {{ .Values.reverseProxy.openapiFile \| quote }} - - name: HOST - value: {{ .Values.reverseProxy.host \| quote }} - - name: PORT - value: {{ .Values.reverseProxy.port \| quote }} - - name: URL_ADMIN - value: {{ include "admin.url" . \| quote }} - - name: URL_API - value: {{ include "api.url" . \| quote }} - - name: URL_ROWS - value: {{ include "rows.url" . \| quote }} - - name: URL_SEARCH - value: {{ include "search.url" . \| quote }} - - name: URL_SSE_API - value: {{ include "sseApi.url" . \| quote }} - volumeMounts: - - name: nginx-templates - mountPath: /etc/nginx/templates - mountPropagation: None - readOnly: true - - name: error-pages - mountPath: /error-pages - mountPropagation: None - readOnly: true - readinessProbe: - tcpSocket: - port: {{ .Values.reverseProxy.port }} - livenessProbe: - tcpSocket: - port: {{ .Values.reverseProxy.port }} - ports: - - containerPort: {{ .Values.reverseProxy.port }} - name: http - protocol: TCP - resources: - {{ toYaml .Values.reverseProxy.resources \| nindent 4 }} -{{- end -}} diff --git a/chart/templates/reverse-proxy/configMap.yaml b/chart/templates/reverse-proxy/configMap.yaml deleted file mode 100644 index 88ec1fe1..00000000 --- a/chart/templates/reverse-proxy/configMap.yaml +++ /dev/null @@ -1,14 +0,0 @@ -# SPDX-License-Identifier: Apache-2.0 -# Copyright 2022 The HuggingFace Authors. - -apiVersion: v1 -kind: ConfigMap -metadata: - labels: {{ include "labels.reverseProxy" . \| nindent 4 }} - name: "{{ include "name" . }}-reverse-proxy" - namespace: {{ .Release.Namespace }} -data: - default.conf.template: \|- - {{ .Files.Get .Values.reverseProxy.nginxTemplateFile \| nindent 4 }} - 404.html: \|- - {{ .Files.Get .Values.reverseProxy.error404File \| nindent 4 }} diff --git a/chart/templates/reverse-proxy/deployment.yaml b/chart/templates/reverse-proxy/deployment.yaml deleted file mode 100644 index dc4e1cb7..00000000 --- a/chart/templates/reverse-proxy/deployment.yaml +++ /dev/null @@ -1,49 +0,0 @@ -# SPDX-License-Identifier: Apache-2.0 -# Copyright 2022 The HuggingFace Authors. - -apiVersion: apps/v1 -kind: Deployment -metadata: - labels: {{ include "labels.reverseProxy" . \| nindent 4 }} - name: "{{ include "name" . }}-reverse-proxy" - namespace: {{ .Release.Namespace }} -spec: - progressDeadlineSeconds: 600 - replicas: {{ .Values.reverseProxy.replicas }} - revisionHistoryLimit: 10 - selector: - matchLabels: {{ include "labels.reverseProxy" . \| nindent 6 }} - strategy: - rollingUpdate: - maxSurge: 25% - maxUnavailable: 25% - type: RollingUpdate - template: - metadata: - labels: {{ include "labels.reverseProxy" . \| nindent 8 }} - annotations: - co.elastic.logs/json.expand_keys: "true" - checksum/config: {{ include (print $.Template.BasePath "/reverse-proxy/configMap.yaml") . \| sha256sum }} - spec: - {{- include "image.imagePullSecrets" . \| nindent 6 }} - initContainers: [] - containers: {{ include "containerReverseProxy" . \| nindent 8 }} - nodeSelector: {{ toYaml .Values.reverseProxy.nodeSelector \| nindent 8 }} - tolerations: {{ toYaml .Values.reverseProxy.tolerations \| nindent 8 }} - volumes: - - name: nginx-templates - configMap: - name: "{{ include "name" . }}-reverse-proxy" - defaultMode: 420 - optional: false - items: - - key: "default.conf.template" - path: "default.conf.template" - - name: error-pages - configMap: - name: "{{ include "name" . }}-reverse-proxy" - defaultMode: 420 - optional: false - items: - - key: "404.html" - path: "404.html" diff --git a/chart/templates/reverse-proxy/pdb.yaml b/chart/templates/reverse-proxy/pdb.yaml deleted file mode 100644 index 84a5aa30..00000000 --- a/chart/templates/reverse-proxy/pdb.yaml +++ /dev/null @@ -1,10 +0,0 @@ -apiVersion: policy/v1 -kind: PodDisruptionBudget -metadata: - labels: {{ include "labels.reverseProxy" . \| nindent 4 }} - name: "{{ include "name" . }}-reverse-proxy" - namespace: {{ .Release.Namespace }} -spec: - maxUnavailable: 1 - selector: - matchLabels: {{ include "labels.reverseProxy" . \| nindent 6 }} diff --git a/chart/templates/reverse-proxy/service.yaml b/chart/templates/reverse-proxy/service.yaml deleted file mode 100644 index 66c5a63b..00000000 --- a/chart/templates/reverse-proxy/service.yaml +++ /dev/null @@ -1,22 +0,0 @@ -# SPDX-License-Identifier: Apache-2.0 -# Copyright 2022 The HuggingFace Authors. - -{{ $serviceType := .Values.reverseProxy.service.type \| default .Values.global.huggingface.service.type }} -apiVersion: v1 -kind: Service -metadata: - name: "{{ include "name" . }}-reverse-proxy" - annotations: {{ toYaml .Values.reverseProxy.service.annotations \| nindent 4 }} - namespace: {{ .Release.Namespace }} - labels: {{ include "labels.reverseProxy" . \| nindent 4 }} -spec: - ports: - - name: http - port: 80 - protocol: TCP - {{- if eq "NodePort" $serviceType }} - nodePort: {{ .Values.global.huggingface.service.ports.datasetsServer.proxy }} - {{- end }} - targetPort: {{ .Values.reverseProxy.port }} - selector: {{ include "labels.reverseProxy" . \| nindent 4 }} - type: {{ $serviceType }} diff --git a/chart/templates/services/admin/service.yaml b/chart/templates/services/admin/service.yaml index 8b31482e..4286bc16 100644 --- a/chart/templates/services/admin/service.yaml +++ b/chart/templates/services/admin/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.reverseProxy.service.type \| default .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/api/service.yaml b/chart/templates/services/api/service.yaml index 98ed995b..0c828818 100644 --- a/chart/templates/services/api/service.yaml +++ b/chart/templates/services/api/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.reverseProxy.service.type \| default .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/rows/service.yaml b/chart/templates/services/rows/service.yaml index 3f5bdd23..cb68827d 100644 --- a/chart/templates/services/rows/service.yaml +++ b/chart/templates/services/rows/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.reverseProxy.service.type \| default .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/search/service.yaml b/chart/templates/services/search/service.yaml index 8ed00dfc..99fc7504 100644 --- a/chart/templates/services/search/service.yaml +++ b/chart/templates/services/search/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.reverseProxy.service.type \| default .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.global.huggingface.service.type }} diff --git a/chart/templates/services/sse-api/service.yaml b/chart/templates/services/sse-api/service.yaml index 604219c0..9945b0d3 100644 --- a/chart/templates/services/sse-api/service.yaml +++ b/chart/templates/services/sse-api/service.yaml @@ -4 +4 @@ -{{ $serviceType := .Values.reverseProxy.service.type \| default .Values.global.huggingface.service.type }} +{{ $serviceType := .Values.global.huggingface.service.type }} diff --git a/chart/values.yaml b/chart/values.yaml index 2e256a96..ab02ceea 100644 --- a/chart/values.yaml +++ b/chart/values.yaml @@ -17 +16,0 @@ global: - proxy: 30020 @@ -372,23 +371 @@ cacheMetricsCollector: -# --- reverse proxy --- - -reverseProxy: - nameOverride: datasets-server-mongodb - host: localhost - port: 8080 - nginxTemplateFile: "nginx-templates/default.conf.template" - openapiFile: "docs/source/openapi.json" - error404File: "nginx-templates/404.html" - - nodeSelector: {} - replicas: 1 - resources: - requests: - cpu: 0 - limits: - cpu: 0 - service: - type: "" - annotations: {} - tolerations: [] - ingress: - enabled: false +# --- ALB --- diff --git a/services/reverse-proxy/README.md b/services/reverse-proxy/README.md index bb94ad50..4d316697 100644 --- a/services/reverse-proxy/README.md +++ b/services/reverse-proxy/README.md @@ -3 +3 @@ -> Reverse-proxy in front of the API +> Reverse-proxy in front of the API. Only used in the docker compose (CI), not in the Helm chart (staging/prod) @@ -7,2 +6,0 @@ See [docker-compose-dataset-viewer.yml](../../tools/docker-compose-dataset-viewe -Note that the template configuration is located in [chart/nginx-templates/](../../chart/nginx-templates/) in order to be reachable by the Helm chart to deploy on Kubernetes. - @@ -31 +29 @@ The image requires three directories to be mounted (from volumes): -- `/etc/nginx/templates` (read-only): the directory that contains the nginx configuration template ([templates](./templates/)) +- `/etc/nginx/templates` (read-only): the directory that contains the nginx configuration template ([templates](./nginx-templates/)) diff --git a/chart/nginx-templates/404.html b/services/reverse-proxy/nginx-templates/404.html similarity index 100% rename from chart/nginx-templates/404.html rename to services/reverse-proxy/nginx-templates/404.html diff --git a/chart/nginx-templates/default.conf.template b/services/reverse-proxy/nginx-templates/default.conf.template similarity index 100% rename from chart/nginx-templates/default.conf.template rename to services/reverse-proxy/nginx-templates/default.conf.template diff --git a/tools/docker-compose-dataset-viewer.yml b/tools/docker-compose-dataset-viewer.yml index 6391262d..43c45a6c 100644 --- a/tools/docker-compose-dataset-viewer.yml +++ b/tools/docker-compose-dataset-viewer.yml @@ -5 +5 @@ services: - - ../chart/nginx-templates/:/etc/nginx/templates:ro + - ../services/reverse-proxy/nginx-templates/:/etc/nginx/templates:ro diff --git a/tools/docker-compose-dev-dataset-viewer.yml b/tools/docker-compose-dev-dataset-viewer.yml index aab6dc2f..668d433a 100644 --- a/tools/docker-compose-dev-dataset-viewer.yml +++ b/tools/docker-compose-dev-dataset-viewer.yml @@ -5 +5 @@ services: - - ../chart/nginx-templates/:/etc/nginx/templates:ro + - ../tools/nginx-templates/:/etc/nginx/templates:ro
1984941ac7dfa5a347c553d5de3d9e513de1a899	Devesh Rahatekar	[email protected]	2024-05-16T20:48:52	Refactored __hf_index_id and __hf_fts_score (#2810)	diff --git a/libs/libapi/src/libapi/response.py b/libs/libapi/src/libapi/response.py index 06181e9c..dce8dc51 100644 --- a/libs/libapi/src/libapi/response.py +++ b/libs/libapi/src/libapi/response.py @@ -6 +6 @@ from datasets import Features -from libcommon.constants import MAX_NUM_ROWS_PER_PAGE +from libcommon.constants import MAX_NUM_ROWS_PER_PAGE, ROW_IDX_COLUMN @@ -13,2 +12,0 @@ from libapi.utils import to_rows_list -ROW_IDX_COLUMN = "__hf_index_id" - diff --git a/libs/libapi/tests/test_response.py b/libs/libapi/tests/test_response.py index 468f04af..a172670c 100644 --- a/libs/libapi/tests/test_response.py +++ b/libs/libapi/tests/test_response.py @@ -8,0 +9 @@ from datasets.table import embed_table_storage +from libcommon.constants import ROW_IDX_COLUMN @@ -12 +13 @@ from PIL import Image as PILImage -from libapi.response import ROW_IDX_COLUMN, create_response +from libapi.response import create_response diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py index 3cd3edfc..0ba728d2 100644 --- a/libs/libcommon/src/libcommon/constants.py +++ b/libs/libcommon/src/libcommon/constants.py @@ -70 +70,2 @@ SPLIT_HAS_STATISTICS_KIND = "split-descriptive-statistics" - +ROW_IDX_COLUMN = "__hf_index_id" +HF_FTS_SCORE = "__hf_fts_score" diff --git a/services/search/src/search/routes/search.py b/services/search/src/search/routes/search.py index 4d82032e..02e95b69 100644 --- a/services/search/src/search/routes/search.py +++ b/services/search/src/search/routes/search.py @@ -27 +26,0 @@ from libapi.request import ( -from libapi.response import ROW_IDX_COLUMN @@ -35 +34 @@ from libapi.utils import ( -from libcommon.constants import MAX_NUM_ROWS_PER_PAGE +from libcommon.constants import HF_FTS_SCORE, MAX_NUM_ROWS_PER_PAGE, ROW_IDX_COLUMN @@ -52,4 +51,4 @@ logger = logging.getLogger(__name__) -FTS_STAGE_TABLE_COMMAND = "SELECT * FROM (SELECT __hf_index_id, fts_main_data.match_bm25(__hf_index_id, ?) AS __hf_fts_score FROM data) A WHERE __hf_fts_score IS NOT NULL;" -JOIN_STAGE_AND_DATA_COMMAND = ( - "SELECT data.* FROM fts_stage_table JOIN data USING(__hf_index_id) ORDER BY fts_stage_table.__hf_fts_score DESC;" -) +FTS_STAGE_TABLE_COMMAND = f"SELECT * FROM (SELECT {ROW_IDX_COLUMN}, fts_main_data.match_bm25({ROW_IDX_COLUMN}, ?) AS {HF_FTS_SCORE} FROM data) A WHERE {HF_FTS_SCORE} IS NOT NULL;" # nosec +JOIN_STAGE_AND_DATA_COMMAND = f"SELECT data.* FROM fts_stage_table JOIN data USING({ROW_IDX_COLUMN}) ORDER BY fts_stage_table.{HF_FTS_SCORE} DESC;" # nosec +# ^ "no sec" to remove https://bandit.readthedocs.io/en/1.7.5/plugins/b608_hardcoded_sql_expressions.html +# the string substitutions here are constants, not user inputs @@ -69 +68 @@ def full_text_search( - fts_stage_table = fts_stage_table.sort_by([("__hf_fts_score", "descending")]).slice(offset, length) + fts_stage_table = fts_stage_table.sort_by([(HF_FTS_SCORE, "descending")]).slice(offset, length) diff --git a/services/search/tests/routes/test_filter.py b/services/search/tests/routes/test_filter.py index 09e268ce..4aa1751a 100644 --- a/services/search/tests/routes/test_filter.py +++ b/services/search/tests/routes/test_filter.py @@ -15 +15,2 @@ from libapi.exceptions import InvalidParameterError -from libapi.response import ROW_IDX_COLUMN, create_response +from libapi.response import create_response +from libcommon.constants import ROW_IDX_COLUMN @@ -56 +57,3 @@ def index_file_location(ds: Dataset) -> Generator[str, None, None]: - create_command_sql = "CREATE OR REPLACE TABLE data AS SELECT nextval('serial') AS __hf_index_id, * FROM sample_df" + create_command_sql = ( + f"CREATE OR REPLACE TABLE data AS SELECT nextval('serial') AS {ROW_IDX_COLUMN}, * FROM sample_df" + ) @@ -59 +62 @@ def index_file_location(ds: Dataset) -> Generator[str, None, None]: - con.sql("PRAGMA create_fts_index('data', '__hf_index_id', 'name', 'gender', overwrite=1);") + con.sql(f"PRAGMA create_fts_index('data', '{ROW_IDX_COLUMN}', 'name', 'gender', overwrite=1);") @@ -102 +105 @@ def test_execute_filter_query(columns: list[str], where: str, orderby: str, inde - "__hf_index_id": [0, 1, 2, 3], + ROW_IDX_COLUMN: [0, 1, 2, 3], @@ -138 +141 @@ async def test_create_response(ds: Dataset, app_config: AppConfig, storage_clien - "__hf_index_id": [2, 3, 4, 5], + ROW_IDX_COLUMN: [2, 3, 4, 5], diff --git a/services/search/tests/routes/test_search.py b/services/search/tests/routes/test_search.py index 289f24e8..2a10c12a 100644 --- a/services/search/tests/routes/test_search.py +++ b/services/search/tests/routes/test_search.py @@ -11,0 +12 @@ from libapi.duckdb import get_download_folder +from libcommon.constants import ROW_IDX_COLUMN @@ -32 +33 @@ def test_get_download_folder(duckdb_index_cache_directory: StrPath) -> None: - "__hf_index_id": [0, 4, 2], + ROW_IDX_COLUMN: [0, 4, 2], @@ -46 +47 @@ def test_get_download_folder(duckdb_index_cache_directory: StrPath) -> None: - "__hf_index_id": [4, 2], + ROW_IDX_COLUMN: [4, 2], @@ -54,3 +55,3 @@ def test_get_download_folder(duckdb_index_cache_directory: StrPath) -> None: - ("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), + ("non existing text", 0, 100, {ROW_IDX_COLUMN: [], "text": []}, 0), + (";DROP TABLE data;", 0, 100, {ROW_IDX_COLUMN: [], "text": []}, 0), + ("some text'); DROP TABLE data; --", 0, 100, {ROW_IDX_COLUMN: [], "text": []}, 0), @@ -82 +83,3 @@ def test_full_text_search( - create_command_sql = "CREATE OR REPLACE TABLE data AS SELECT nextval('serial') AS __hf_index_id, * FROM sample_df" + create_command_sql = ( + f"CREATE OR REPLACE TABLE data AS SELECT nextval('serial') AS {ROW_IDX_COLUMN}, * FROM sample_df" + ) @@ -86 +89 @@ def test_full_text_search( - con.sql("PRAGMA create_fts_index('data', '__hf_index_id', '', overwrite=1);") + con.sql(f"PRAGMA create_fts_index('data', '{ROW_IDX_COLUMN}', '', overwrite=1);") @@ -89 +92 @@ def test_full_text_search( - fields = [pa.field("__hf_index_id", pa.int64()), pa.field("text", pa.string())] + fields = [pa.field(ROW_IDX_COLUMN, pa.int64()), pa.field("text", pa.string())] 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 d389f4a2..a06ef4fc 100644 --- a/services/worker/src/worker/job_runners/split/duckdb_index.py +++ b/services/worker/src/worker/job_runners/split/duckdb_index.py @@ -19 +19 @@ from huggingface_hub.utils._errors import HfHubHTTPError, RepositoryNotFoundErro -from libcommon.constants import DUCKDB_INDEX_JOB_RUNNER_SUBDIRECTORY +from libcommon.constants import DUCKDB_INDEX_JOB_RUNNER_SUBDIRECTORY, ROW_IDX_COLUMN @@ -53 +53 @@ DUCKDB_DEFAULT_PARTIAL_INDEX_FILENAME = "partial-index.duckdb" -CREATE_INDEX_COMMAND = "PRAGMA create_fts_index('data', '__hf_index_id', {columns}, overwrite=1);" +CREATE_INDEX_COMMAND = f"PRAGMA create_fts_index('data', '{ROW_IDX_COLUMN}', {{columns}}, overwrite=1);" @@ -56 +56,3 @@ CREATE_SEQUENCE_COMMAND = "CREATE OR REPLACE SEQUENCE serial START 0 MINVALUE 0; -ALTER_TABLE_BY_ADDING_SEQUENCE_COLUMN = "ALTER TABLE data ADD COLUMN __hf_index_id BIGINT DEFAULT nextval('serial');" +ALTER_TABLE_BY_ADDING_SEQUENCE_COLUMN = ( + f"ALTER TABLE data ADD COLUMN {ROW_IDX_COLUMN} BIGINT DEFAULT nextval('serial');" +) @@ -293 +295 @@ def compute_split_duckdb_index_response( - features["__hf_index_id"] = {"dtype": "int64", "_type": "Value"} + features[ROW_IDX_COLUMN] = {"dtype": "int64", "_type": "Value"} 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 69188813..555a56ba 100644 --- a/services/worker/tests/job_runners/split/test_duckdb_index.py +++ b/services/worker/tests/job_runners/split/test_duckdb_index.py @@ -21,0 +22 @@ from datasets.packaged_modules.csv.csv import CsvConfig +from libcommon.constants import HF_FTS_SCORE, ROW_IDX_COLUMN @@ -381 +382 @@ def test_compute( - "SELECT __hf_index_id, text FROM data WHERE fts_main_data.match_bm25(__hf_index_id, ?) IS NOT NULL;", + f"SELECT {ROW_IDX_COLUMN}, text FROM data WHERE fts_main_data.match_bm25({ROW_IDX_COLUMN}, ?) IS NOT NULL;", @@ -395 +396 @@ def test_compute( - assert (rows["__hf_index_id"].isin([0, 2, 3, 4, 5, 7, 8, 9])).all() + assert (rows[ROW_IDX_COLUMN].isin([0, 2, 3, 4, 5, 7, 8, 9])).all() @@ -482,2 +483,2 @@ FTS_COMMAND = ( - "SELECT * EXCLUDE (__hf_fts_score) FROM (SELECT , fts_main_data.match_bm25(__hf_index_id, ?) AS __hf_fts_score" - " FROM data) A WHERE __hf_fts_score IS NOT NULL ORDER BY __hf_index_id;" + f"SELECT EXCLUDE ({HF_FTS_SCORE}) FROM (SELECT *, fts_main_data.match_bm25({ROW_IDX_COLUMN}, ?) AS {HF_FTS_SCORE}" + f" FROM data) A WHERE {HF_FTS_SCORE} IS NOT NULL ORDER BY {ROW_IDX_COLUMN};" @@ -526,2 +527,2 @@ def test_table_column_hf_index_id_is_monotonic_increasing(tmp_path: Path) -> Non - assert df["__hf_index_id"].is_monotonic_increasing - assert df["__hf_index_id"].is_unique + assert df[ROW_IDX_COLUMN].is_monotonic_increasing + assert df[ROW_IDX_COLUMN].is_unique
915f8afa28f4671baee8066272803cd411aad771	Sylvain Lesage	[email protected]	2024-05-16T20:20:45	fix e2e test (#2825)	diff --git a/e2e/tests/test_30_admin_healthcheck.py b/e2e/tests/test_30_admin_healthcheck.py index 2620bb3b..a9db95a3 100644 --- a/e2e/tests/test_30_admin_healthcheck.py +++ b/e2e/tests/test_30_admin_healthcheck.py @@ -8 +8 @@ def test_healthcheck() -> None: - response = poll("/healthcheck", expected_code=200, url=ADMIN_URL) + response = poll("/admin/healthcheck", expected_code=200, url=ADMIN_URL) diff --git a/e2e/tests/test_31_admin_metrics.py b/e2e/tests/test_31_admin_metrics.py index a3a89034..a2b20d05 100644 --- a/e2e/tests/test_31_admin_metrics.py +++ b/e2e/tests/test_31_admin_metrics.py @@ -11 +11 @@ def test_metrics() -> None: - response = get("/metrics", url=ADMIN_URL) + response = get("/admin/metrics", url=ADMIN_URL)
77e2205f78c752f95a60f58549b9acfe723b9d43	Sylvain Lesage	[email protected]	2024-05-16T19:01:35	multiple nfaa tags, and remove details in error message (#2823)	diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py index 8ac1aad5..3cd3edfc 100644 --- a/libs/libcommon/src/libcommon/constants.py +++ b/libs/libcommon/src/libcommon/constants.py @@ -36 +36,3 @@ PARQUET_REVISION = "refs/convert/parquet" -UNSUPPORTED_TAG_NFAA = "not-for-all-audiences" +TAG_NFAA_CONTENT = "not-for-all-audiences" +TAG_NFAA_SYNONYMS = [TAG_NFAA_CONTENT, "nsfw", "porn", "hentai", "inappropriate"] + diff --git a/libs/libcommon/src/libcommon/operations.py b/libs/libcommon/src/libcommon/operations.py index 8b82b0b7..2429d245 100644 --- a/libs/libcommon/src/libcommon/operations.py +++ b/libs/libcommon/src/libcommon/operations.py @@ -17 +17 @@ from huggingface_hub.utils import ( -from libcommon.constants import UNSUPPORTED_TAG_NFAA +from libcommon.constants import TAG_NFAA_SYNONYMS @@ -163,4 +163,2 @@ def get_latest_dataset_revision_if_supported_or_raise( - if dataset_info.tags and UNSUPPORTED_TAG_NFAA in dataset_info.tags: - raise NotSupportedTagNFAAError( - f"Not supported: dataset viewer is disabled on datasets with {UNSUPPORTED_TAG_NFAA} tag." - ) + if dataset_info.tags and any(tag in TAG_NFAA_SYNONYMS for tag in dataset_info.tags): + raise NotSupportedTagNFAAError("Not supported: dataset viewer is disabled.") diff --git a/libs/libcommon/tests/test_operations.py b/libs/libcommon/tests/test_operations.py index 05b58ceb..f0d0223a 100644 --- a/libs/libcommon/tests/test_operations.py +++ b/libs/libcommon/tests/test_operations.py @@ -17 +17 @@ from requests import Response # type: ignore -from libcommon.constants import CONFIG_SPLIT_NAMES_KIND, DATASET_CONFIG_NAMES_KIND, UNSUPPORTED_TAG_NFAA +from libcommon.constants import CONFIG_SPLIT_NAMES_KIND, DATASET_CONFIG_NAMES_KIND, TAG_NFAA_SYNONYMS @@ -180,4 +180,6 @@ def test_update_non_existent_raises( - (["not-" + UNSUPPORTED_TAG_NFAA], False), - (["not-" + UNSUPPORTED_TAG_NFAA, "not-at-all-" + UNSUPPORTED_TAG_NFAA], False), - ([UNSUPPORTED_TAG_NFAA], True), - (["not-" + UNSUPPORTED_TAG_NFAA, UNSUPPORTED_TAG_NFAA], True), + (["perfectly-fine-tag"], False), + (["perfectly-fine-tag", "another-fine-tag"], False), + ([TAG_NFAA_SYNONYMS[0]], True), + ([TAG_NFAA_SYNONYMS[1]], True), + (TAG_NFAA_SYNONYMS, True), + (["perfectly-fine-tag", TAG_NFAA_SYNONYMS[0]], True),
ef282c9bf6ab84a90f7d5b4d291f3449f1025a97	Sylvain Lesage	[email protected]	2024-05-16T15:35:45	disable dataset viewer for 'nfaa' tag (#2822)	diff --git a/libs/libcommon/src/libcommon/constants.py b/libs/libcommon/src/libcommon/constants.py index 5df9d1b2..8ac1aad5 100644 --- a/libs/libcommon/src/libcommon/constants.py +++ b/libs/libcommon/src/libcommon/constants.py @@ -35,0 +36 @@ PARQUET_REVISION = "refs/convert/parquet" +UNSUPPORTED_TAG_NFAA = "not-for-all-audiences" diff --git a/libs/libcommon/src/libcommon/exceptions.py b/libs/libcommon/src/libcommon/exceptions.py index 21f301c1..ea2c4b2d 100644 --- a/libs/libcommon/src/libcommon/exceptions.py +++ b/libs/libcommon/src/libcommon/exceptions.py @@ -114,0 +115 @@ CacheableErrorCode = Literal[ + "NotSupportedTagNFAAError", @@ -607,0 +609,7 @@ class NotSupportedPrivateRepositoryError(NotSupportedError): +class NotSupportedTagNFAAError(NotSupportedError): + """The dataset viewer is disabled because the dataset has the NFAA tag.""" + + def __init__(self, message: str, cause: Optional[BaseException] = None): + super().__init__(message, HTTPStatus.NOT_IMPLEMENTED, "NotSupportedTagNFAAError", cause, False) + + diff --git a/libs/libcommon/src/libcommon/operations.py b/libs/libcommon/src/libcommon/operations.py index dd16d7f0..8b82b0b7 100644 --- a/libs/libcommon/src/libcommon/operations.py +++ b/libs/libcommon/src/libcommon/operations.py @@ -16,0 +17 @@ from huggingface_hub.utils import ( +from libcommon.constants import UNSUPPORTED_TAG_NFAA @@ -23,0 +25 @@ from libcommon.exceptions import ( + NotSupportedTagNFAAError, @@ -160,0 +163,4 @@ def get_latest_dataset_revision_if_supported_or_raise( + if dataset_info.tags and UNSUPPORTED_TAG_NFAA in dataset_info.tags: + raise NotSupportedTagNFAAError( + f"Not supported: dataset viewer is disabled on datasets with {UNSUPPORTED_TAG_NFAA} tag." + ) diff --git a/libs/libcommon/tests/test_operations.py b/libs/libcommon/tests/test_operations.py index 18bf288e..05b58ceb 100644 --- a/libs/libcommon/tests/test_operations.py +++ b/libs/libcommon/tests/test_operations.py @@ -17 +17 @@ from requests import Response # type: ignore -from libcommon.constants import CONFIG_SPLIT_NAMES_KIND, DATASET_CONFIG_NAMES_KIND +from libcommon.constants import CONFIG_SPLIT_NAMES_KIND, DATASET_CONFIG_NAMES_KIND, UNSUPPORTED_TAG_NFAA @@ -23,0 +24 @@ from libcommon.exceptions import ( + NotSupportedTagNFAAError, @@ -88 +89 @@ def test_whoisthis(name: str, expected_pro: Optional[bool], expected_enterprise: -def tmp_dataset(namespace: str, token: str, private: bool) -> Iterator[str]: +def tmp_dataset(namespace: str, token: str, private: bool, tags: Optional[list[str]] = None) -> Iterator[str]: @@ -97,0 +99,9 @@ def tmp_dataset(namespace: str, token: str, private: bool) -> Iterator[str]: + if tags: + README = "---\n" + "tags:\n" + "".join(f"- {tag}\n" for tag in tags) + "---" + hf_api.upload_file( + path_or_fileobj=README.encode(), + path_in_repo="README.md", + repo_id=dataset, + token=token, + repo_type="dataset", + ) @@ -164,0 +175,25 @@ def test_update_non_existent_raises( [email protected]( + "tags,raises", + [ + (None, False), + ([], False), + (["not-" + UNSUPPORTED_TAG_NFAA], False), + (["not-" + UNSUPPORTED_TAG_NFAA, "not-at-all-" + UNSUPPORTED_TAG_NFAA], False), + ([UNSUPPORTED_TAG_NFAA], True), + (["not-" + UNSUPPORTED_TAG_NFAA, UNSUPPORTED_TAG_NFAA], True), + ], +) +def test_update_dataset_with_nfaa_tag_raises( + queue_mongo_resource: QueueMongoResource, + cache_mongo_resource: CacheMongoResource, + tags: Optional[list[str]], + raises: bool, +) -> None: + with tmp_dataset(namespace=NORMAL_USER, token=NORMAL_USER_TOKEN, private=False, tags=tags) as dataset: + if raises: + with pytest.raises(NotSupportedTagNFAAError): + update_dataset(dataset=dataset, hf_endpoint=CI_HUB_ENDPOINT, hf_token=CI_APP_TOKEN) + else: + update_dataset(dataset=dataset, hf_endpoint=CI_HUB_ENDPOINT, hf_token=CI_APP_TOKEN) + +
2fde87a1cd86071c8a67a2b73aceb723d39e44e1	Sylvain Lesage	[email protected]	2024-05-16T09:40:46	Fix admin again (#2821)	diff --git a/chart/templates/services/admin/_container.tpl b/chart/templates/services/admin/_container.tpl index c11eaf82..c0a2f3ce 100644 --- a/chart/templates/services/admin/_container.tpl +++ b/chart/templates/services/admin/_container.tpl @@ -49 +49 @@ - path: /healthcheck + path: /admin/healthcheck @@ -55 +55 @@ - path: /healthcheck + path: /admin/healthcheck diff --git a/e2e/tests/test_31_admin_metrics.py b/e2e/tests/test_31_admin_metrics.py index 2df26971..a3a89034 100644 --- a/e2e/tests/test_31_admin_metrics.py +++ b/e2e/tests/test_31_admin_metrics.py @@ -20 +20 @@ def test_metrics() -> None: - name = 'starlette_requests_total{method="GET",path_template="/metrics"}' + name = 'starlette_requests_total{method="GET",path_template="/admin/metrics"}'
c9a8148972378f3b0a58ee65906975056030b4d9	Sylvain Lesage	[email protected]	2024-05-16T09:31:53	add prefix /admin in admin service (#2820)	diff --git a/chart/nginx-templates/default.conf.template b/chart/nginx-templates/default.conf.template index e8e15c05..8a1a8d7b 100644 --- a/chart/nginx-templates/default.conf.template +++ b/chart/nginx-templates/default.conf.template @@ -49,2 +49 @@ server { - # note the trailing slash, to remove the /admin/ prefix - proxy_pass ${URL_ADMIN}/; + proxy_pass ${URL_ADMIN}; diff --git a/chart/templates/services/admin/servicemonitor.yaml b/chart/templates/services/admin/servicemonitor.yaml index 1d99843c..480c6075 100644 --- a/chart/templates/services/admin/servicemonitor.yaml +++ b/chart/templates/services/admin/servicemonitor.yaml @@ -13 +13 @@ spec: - - path: /metrics + - path: /admin/metrics diff --git a/e2e/tests/test_31_admin_metrics.py b/e2e/tests/test_31_admin_metrics.py index 23384c48..2df26971 100644 --- a/e2e/tests/test_31_admin_metrics.py +++ b/e2e/tests/test_31_admin_metrics.py @@ -21,2 +21,3 @@ def test_metrics() -> None: - assert name in metrics, metrics - assert metrics[name] > 0, metrics + assert name not in metrics, metrics + # ^ starlette-prometheus does not support Mount! See https://github.com/perdy/starlette-prometheus/issues/40 + # we don't really need details for /admin, so let's not patch the middleware diff --git a/services/admin/README.md b/services/admin/README.md index 33f5685d..0f9ddf3d 100644 --- a/services/admin/README.md +++ b/services/admin/README.md @@ -40,6 +40,6 @@ The admin service provides endpoints: -- `/healthcheck`: ensure the app is running -- `/metrics`: give info about the cache and the queue -- `/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) -- `/dataset-status`: give the dataset status including cache records and pending jobs. -- `/num-dataset-infos-by-builder-name`: give a report about number of datasets by builder name (parquet, csv, text, imagefolder, audiofolder, json, arrow and webdataset). -- `/recreate-dataset`: deletes all the cache entries related to a specific dataset, then run all the steps in order. It's a POST endpoint. Pass the requested parameters: +- `/admin/healthcheck`: ensure the app is running +- `/admin/metrics`: give info about the cache and the queue +- `/admin/pending-jobs`: give the pending jobs, classed by queue and status (waiting or started) +- `/admin/dataset-status`: give the dataset status including cache records and pending jobs. +- `/admin/num-dataset-infos-by-builder-name`: give a report about number of datasets by builder name (parquet, csv, text, imagefolder, audiofolder, json, arrow and webdataset). +- `/admin/recreate-dataset`: deletes all the cache entries related to a specific dataset, then run all the steps in order. It's a POST endpoint. Pass the requested parameters: @@ -51 +51 @@ The admin service provides endpoints: -- `/force-refresh{processing_step}`: force refresh cache entries for the processing step. It's a POST endpoint. Pass the requested parameters, depending on the processing step's input type: +- `/admin/force-refresh{processing_step}`: force refresh cache entries for the processing step. It's a POST endpoint. Pass the requested parameters, depending on the processing step's input type: @@ -55,2 +55,2 @@ The admin service provides endpoints: -- `/cache-reports{processing_step}`: give detailed reports on the content of the cache for a processing step -- `/cache-reports-with-content{processing_step}`: give detailed reports on the content of the cache for a processing step, including the content itself, which can be heavy +- `/admin/cache-reports{processing_step}`: give detailed reports on the content of the cache for a processing step +- `/admin/cache-reports-with-content{processing_step}`: give detailed reports on the content of the cache for a processing step, including the content itself, which can be heavy diff --git a/services/admin/src/admin/app.py b/services/admin/src/admin/app.py index 01abdc0b..76931773 100644 --- a/services/admin/src/admin/app.py +++ b/services/admin/src/admin/app.py @@ -17 +17 @@ from starlette.middleware.gzip import GZipMiddleware -from starlette.routing import Route +from starlette.routing import Mount, Route @@ -177 +177,5 @@ def create_app() -> Starlette: - return Starlette(routes=routes, middleware=middleware, on_shutdown=[resource.release for resource in resources]) + return Starlette( + routes=[Mount("/admin", routes=routes)], + middleware=middleware, + on_shutdown=[resource.release for resource in resources], + ) diff --git a/services/admin/tests/test_app.py b/services/admin/tests/test_app.py index edddf911..0f26dc9d 100644 --- a/services/admin/tests/test_app.py +++ b/services/admin/tests/test_app.py @@ -24 +24 @@ def test_cors(client: TestClient) -> None: - "/pending-jobs", + "/admin/pending-jobs", @@ -48 +48 @@ def test_get_healthcheck(client: TestClient) -> None: - response = client.request("get", "/healthcheck") + response = client.request("get", "/admin/healthcheck") @@ -54 +54 @@ def test_metrics(client: TestClient) -> None: - response = client.request("get", "/metrics") + response = client.request("get", "/admin/metrics") @@ -61 +61,3 @@ def test_metrics(client: TestClient) -> None: - name = 'starlette_requests_total{method="GET",path_template="/metrics"}' + name = 'starlette_requests_total{method="GET",path_template="/admin"}' + # ^ starlette-prometheus does not support Mount! See https://github.com/perdy/starlette-prometheus/issues/40 + # we don't really need details for /admin, so let's not patch the middleware @@ -67 +69 @@ def test_pending_jobs(client: TestClient) -> None: - response = client.request("get", "/pending-jobs") + response = client.request("get", "/admin/pending-jobs") @@ -75 +77 @@ def test_dataset_status(client: TestClient) -> None: - response = client.request("get", "/dataset-status") + response = client.request("get", "/admin/dataset-status") @@ -77 +79 @@ def test_dataset_status(client: TestClient) -> None: - response = client.request("get", "/dataset-status", params={"dataset": "test-dataset"}) + response = client.request("get", "/admin/dataset-status", params={"dataset": "test-dataset"}) @@ -102 +104 @@ def test_cache_reports( - response = client.request("get", f"/cache-reports/{path}{cursor_str}") + response = client.request("get", f"/admin/cache-reports/{path}{cursor_str}") @@ -129 +131 @@ def test_cache_reports_with_content( - response = client.request("get", f"/cache-reports-with-content/{path}{cursor_str}") + response = client.request("get", f"/admin/cache-reports-with-content/{path}{cursor_str}") diff --git a/services/admin/tests/test_app_real.py b/services/admin/tests/test_app_real.py index 9a15c933..92cf77d3 100644 --- a/services/admin/tests/test_app_real.py +++ b/services/admin/tests/test_app_real.py @@ -49 +49 @@ def test_force_refresh( - response = real_client.request("post", f"/force-refresh/{path}?dataset={dataset}") + response = real_client.request("post", f"/admin/force-refresh/{path}?dataset={dataset}")
8e68cfe15a3c649ae4d69281e894d444c1c7568e	Albert Villanova del Moral	[email protected]	2024-05-16T04:38:41	Support create audio file from Opus format (#2811)	diff --git a/libs/libcommon/src/libcommon/viewer_utils/asset.py b/libs/libcommon/src/libcommon/viewer_utils/asset.py index 6c100975..c5ca62cd 100644 --- a/libs/libcommon/src/libcommon/viewer_utils/asset.py +++ b/libs/libcommon/src/libcommon/viewer_utils/asset.py @@ -111,3 +111 @@ def create_audio_file( - segment: AudioSegment = AudioSegment.from_file( - tmpfile.name, audio_file_extension[1:] if audio_file_extension else None - ) + segment: AudioSegment = AudioSegment.from_file(tmpfile.name) diff --git a/libs/libcommon/tests/viewer_utils/data/test_audio_opus.opus b/libs/libcommon/tests/viewer_utils/data/test_audio_opus.opus new file mode 100644 index 00000000..25eb2ff0 Binary files /dev/null and b/libs/libcommon/tests/viewer_utils/data/test_audio_opus.opus differ diff --git a/libs/libcommon/tests/viewer_utils/test_assets.py b/libs/libcommon/tests/viewer_utils/test_assets.py index bc38f83a..76d37cda 100644 --- a/libs/libcommon/tests/viewer_utils/test_assets.py +++ b/libs/libcommon/tests/viewer_utils/test_assets.py @@ -0,0 +1 @@ +import os.path @@ -45,3 +46,7 @@ def test_create_image_file(storage_client: StorageClient, datasets_fixtures: Map [email protected]("audio_file_extension", [".wav", ""]) # also test audio files without extension -def test_create_audio_file(audio_file_extension: str, shared_datadir: Path, storage_client: StorageClient) -> None: - audio_file_bytes = (shared_datadir / "test_audio_44100.wav").read_bytes() [email protected]("audio_file_extension", ["WITH_EXTENSION", "WITHOUT_EXTENSION"]) [email protected]("audio_file_name", ["test_audio_44100.wav", "test_audio_opus.opus"]) +def test_create_audio_file( + audio_file_name: str, audio_file_extension: str, shared_datadir: Path, storage_client: StorageClient +) -> None: + audio_file_extension = os.path.splitext(audio_file_name)[1] if audio_file_extension == "WITH_EXTENSION" else "" + audio_file_bytes = (shared_datadir / audio_file_name).read_bytes() @@ -60 +64,0 @@ def test_create_audio_file(audio_file_extension: str, shared_datadir: Path, stor - @@ -68 +71,0 @@ def test_create_audio_file(audio_file_extension: str, shared_datadir: Path, stor -
3b099077116f9213d7d79cf6461d4c1e991d5975	Remy	[email protected]	2024-05-15T20:15:00	Update prod.yaml (#2815)	diff --git a/chart/env/prod.yaml b/chart/env/prod.yaml index 6fe1e330..3145d44c 100644 --- a/chart/env/prod.yaml +++ b/chart/env/prod.yaml @@ -335 +335 @@ api: - alb.ingress.kubernetes.io/actions.openapi-redirect: '{"Type":"redirect","RedirectConfig":{"Host":"raw.githubusercontent.com","Path":"/huggingface/dataset-viewer/main/docs/source/openapi.json","Port":"443","Protocol":"HTTPS","Query":"#{query}","StatusCode":"HTTP_307"}}' + alb.ingress.kubernetes.io/actions.openapi-redirect: '{"Type":"redirect","RedirectConfig":{"Host":"raw.githubusercontent.com","Path":"/huggingface/dataset-viewer/main/docs/source/openapi.json","Port":"443","Protocol":"HTTPS","Query":"#{query}","StatusCode":"HTTP_302"}}'
83bf82a7815054433a01630e8c451126d3c3bffc	Remy	[email protected]	2024-05-15T20:04:36	fix(chart): alb annotations (#2814)	diff --git a/chart/templates/services/api/ingress.yaml b/chart/templates/services/api/ingress.yaml index d7d7fe03..f85b5e2f 100644 --- a/chart/templates/services/api/ingress.yaml +++ b/chart/templates/services/api/ingress.yaml @@ -26,2 +26,4 @@ spec: - serviceName: openapi-redirect - servicePort: use-annotation + service: + name: openapi-redirect + port: + name: use-annotation @@ -33,2 +35,4 @@ spec: - serviceName: metrics-unauthorized - servicePort: use-annotation + service: + name: metrics-unauthorized + port: + name: use-annotation
3133635834b01619e8b70d09ae3155fc4b234027	Remy	[email protected]	2024-05-15T20:04:28	fix(chart): block /metrics on staging alb (#2813)	diff --git a/chart/env/staging.yaml b/chart/env/staging.yaml index b1864f8b..4940ecad 100644 --- a/chart/env/staging.yaml +++ b/chart/env/staging.yaml @@ -236,0 +237,3 @@ api: + annotations: + alb.ingress.kubernetes.io/actions.openapi-redirect: '{"Type":"redirect","RedirectConfig":{"Host":"raw.githubusercontent.com","Path":"/huggingface/dataset-viewer/main/docs/source/openapi.json","Port":"443","Protocol":"HTTPS","Query":"#{query}","StatusCode":"HTTP_307"}}' + alb.ingress.kubernetes.io/actions.metrics-unauthorized: '{"type":"fixed-response","fixedResponseConfig":{"contentType":"text/plain","statusCode":"401","messageBody":"401 Unauthorized"}}'

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