From b2594b9daeef5ce48d769d92e64600cc9ba02ead Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Thu, 10 Oct 2024 14:13:24 +0200 Subject: [PATCH 01/16] feat: first iteration of background job to import datasets from hub --- argilla-server/pdm.lock | 330 ++++++++---------- argilla-server/pyproject.toml | 3 +- .../api/handlers/v1/datasets/datasets.py | 26 ++ .../argilla_server/api/handlers/v1/jobs.py | 52 +++ .../api/policies/v1/__init__.py | 2 + .../api/policies/v1/dataset_policy.py | 7 + .../api/policies/v1/job_policy.py | 21 ++ .../src/argilla_server/api/routes.py | 2 + .../argilla_server/api/schemas/v1/datasets.py | 6 + .../src/argilla_server/api/schemas/v1/jobs.py | 21 ++ .../src/argilla_server/contexts/hub.py | 90 +++++ .../src/argilla_server/jobs/dataset_jobs.py | 2 +- .../src/argilla_server/jobs/hub_jobs.py | 48 +++ .../unit/contexts/hub/test_hub_dataset.py | 61 ++++ 14 files changed, 493 insertions(+), 178 deletions(-) create mode 100644 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b/argilla-server/pyproject.toml index 2df84995bd..21e6a56192 100644 --- a/argilla-server/pyproject.toml +++ b/argilla-server/pyproject.toml @@ -59,8 +59,10 @@ dependencies = [ "typer >= 0.6.0, < 0.10.0", # spaCy only supports typer<0.10.0 "packaging>=23.2", "psycopg2-binary>=2.9.9", + "datasets>=3.0.1", # For Telemetry "huggingface_hub>=0.13,<1", + ] [project.optional-dependencies] @@ -100,7 +102,6 @@ test = [ "factory-boy~=3.2.1", "httpx>=0.26.0", # Required by tests/unit/utils/test_dependency.py but we should take a look a probably removed them - "datasets > 1.17.0,!= 2.3.2", "spacy>=3.5.0,<3.7.0", "pytest-randomly>=3.15.0", ] diff --git a/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py b/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py index e0d1ec3765..825408e329 100644 --- a/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py +++ b/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py @@ -29,6 +29,7 @@ DatasetProgress, Datasets, DatasetUpdate, + HubDataset, UsersProgress, ) from argilla_server.api.schemas.v1.fields import Field, FieldCreate, Fields @@ -38,9 +39,11 @@ MetadataPropertyCreate, ) from argilla_server.api.schemas.v1.vector_settings import VectorSettings, VectorSettingsCreate, VectorsSettings +from argilla_server.api.schemas.v1.jobs import Job as JobSchema from argilla_server.contexts import datasets from argilla_server.database import get_async_db from argilla_server.enums import DatasetStatus +from argilla_server.jobs import hub_jobs from argilla_server.models import Dataset, User from argilla_server.search_engine import ( SearchEngine, @@ -301,3 +304,26 @@ async def update_dataset( await authorize(current_user, DatasetPolicy.update(dataset)) return await datasets.update_dataset(db, dataset, dataset_update.dict(exclude_unset=True)) + + +# TODO: Maybe change /import to /import-from-hub? +@router.post("/datasets/{dataset_id}/import", status_code=status.HTTP_202_ACCEPTED, response_model=JobSchema) +async def import_dataset_from_hub( + *, + db: AsyncSession = Depends(get_async_db), + dataset_id: UUID, + hub_dataset: HubDataset, + current_user: User = Security(auth.get_current_user), +): + dataset = await Dataset.get_or_raise(db, dataset_id) + + await authorize(current_user, DatasetPolicy.import_from_hub(dataset)) + + job = hub_jobs.import_dataset_from_hub_job.delay( + name=hub_dataset.name, + subset=hub_dataset.subset, + split=hub_dataset.split, + dataset_id=dataset.id, + ) + + return JobSchema(id=job.id, status=job.get_status()) diff --git a/argilla-server/src/argilla_server/api/handlers/v1/jobs.py b/argilla-server/src/argilla_server/api/handlers/v1/jobs.py new file mode 100644 index 0000000000..dbded9497c --- /dev/null +++ b/argilla-server/src/argilla_server/api/handlers/v1/jobs.py @@ -0,0 +1,52 @@ +# Copyright 2021-present, the Recognai S.L. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from fastapi import APIRouter, Depends, HTTPException, Security, status +from sqlalchemy.ext.asyncio import AsyncSession + +from rq.job import Job +from rq.exceptions import NoSuchJobError + +from argilla_server.database import get_async_db +from argilla_server.jobs.queues import REDIS_CONNECTION +from argilla_server.models import User +from argilla_server.api.policies.v1 import JobPolicy, authorize +from argilla_server.api.schemas.v1.jobs import Job as JobSchema +from argilla_server.security import auth + +router = APIRouter(tags=["jobs"]) + + +def _get_job(job_id: str) -> Job: + try: + return Job.fetch(job_id, connection=REDIS_CONNECTION) + except NoSuchJobError: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Job with id `{job_id}` not found", + ) + + +@router.get("/jobs/{job_id}", response_model=JobSchema) +async def get_job( + *, + db: AsyncSession = Depends(get_async_db), + job_id: str, + current_user: User = Security(auth.get_current_user), +): + job = _get_job(job_id) + + await authorize(current_user, JobPolicy.get) + + return JobSchema(id=job.id, status=job.get_status(refresh=True)) diff --git a/argilla-server/src/argilla_server/api/policies/v1/__init__.py b/argilla-server/src/argilla_server/api/policies/v1/__init__.py index 706b196d28..dccbad5b3d 100644 --- a/argilla-server/src/argilla_server/api/policies/v1/__init__.py +++ b/argilla-server/src/argilla_server/api/policies/v1/__init__.py @@ -24,6 +24,7 @@ from argilla_server.api.policies.v1.vector_settings_policy import VectorSettingsPolicy from argilla_server.api.policies.v1.workspace_policy import WorkspacePolicy from argilla_server.api.policies.v1.workspace_user_policy import WorkspaceUserPolicy +from argilla_server.api.policies.v1.job_policy import JobPolicy __all__ = [ "DatasetPolicy", @@ -37,6 +38,7 @@ "VectorSettingsPolicy", "WorkspacePolicy", "WorkspaceUserPolicy", + "JobPolicy", "authorize", "is_authorized", ] diff --git a/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py b/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py index 5b71f5c030..755ea0b01b 100644 --- a/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py +++ b/argilla-server/src/argilla_server/api/policies/v1/dataset_policy.py @@ -141,3 +141,10 @@ async def is_allowed(actor: User) -> bool: return actor.is_owner or (actor.is_admin and await actor.is_member(dataset.workspace_id)) return is_allowed + + @classmethod + def import_from_hub(cls, dataset: Dataset) -> PolicyAction: + async def is_allowed(actor: User) -> bool: + return actor.is_owner or (actor.is_admin and await actor.is_member(dataset.workspace_id)) + + return is_allowed diff --git a/argilla-server/src/argilla_server/api/policies/v1/job_policy.py b/argilla-server/src/argilla_server/api/policies/v1/job_policy.py new file mode 100644 index 0000000000..7cab380225 --- /dev/null +++ b/argilla-server/src/argilla_server/api/policies/v1/job_policy.py @@ -0,0 +1,21 @@ +# Copyright 2021-present, the Recognai S.L. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from argilla_server.models import User + + +class JobPolicy: + @classmethod + async def get(cls, actor: User) -> bool: + return actor.is_owner or actor.is_admin diff --git a/argilla-server/src/argilla_server/api/routes.py b/argilla-server/src/argilla_server/api/routes.py index 456b918c3f..8cd7244777 100644 --- a/argilla-server/src/argilla_server/api/routes.py +++ b/argilla-server/src/argilla_server/api/routes.py @@ -62,6 +62,7 @@ from argilla_server.api.handlers.v1 import ( workspaces as workspaces_v1, ) +from argilla_server.api.handlers.v1 import jobs as jobs_v1 from argilla_server.errors.base_errors import __ALL__ from argilla_server.errors.error_handler import APIErrorHandler @@ -92,6 +93,7 @@ def create_api_v1(): users_v1.router, vectors_settings_v1.router, workspaces_v1.router, + jobs_v1.router, oauth2_v1.router, settings_v1.router, ]: diff --git a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py index 2becb6c1f2..67669696a0 100644 --- a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py +++ b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py @@ -142,3 +142,9 @@ class DatasetUpdate(UpdateSchema): distribution: Optional[DatasetDistributionUpdate] __non_nullable_fields__ = {"name", "allow_extra_metadata", "distribution"} + + +class HubDataset(BaseModel): + name: str + subset: str + split: str diff --git a/argilla-server/src/argilla_server/api/schemas/v1/jobs.py b/argilla-server/src/argilla_server/api/schemas/v1/jobs.py new file mode 100644 index 0000000000..3f3f916516 --- /dev/null +++ b/argilla-server/src/argilla_server/api/schemas/v1/jobs.py @@ -0,0 +1,21 @@ +# Copyright 2021-present, the Recognai S.L. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from rq.job import JobStatus +from pydantic import BaseModel + + +class Job(BaseModel): + id: str + status: JobStatus diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py new file mode 100644 index 0000000000..b3d7d5ce53 --- /dev/null +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -0,0 +1,90 @@ +# Copyright 2021-present, the Recognai S.L. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from typing_extensions import Self + +from datasets import load_dataset +from sqlalchemy.ext.asyncio import AsyncSession + +from argilla_server.models.database import Dataset +from argilla_server.search_engine import SearchEngine +from argilla_server.bulk.records_bulk import CreateRecordsBulk +from argilla_server.api.schemas.v1.records import RecordCreate as RecordCreateSchema +from argilla_server.api.schemas.v1.records_bulk import RecordsBulkCreate as RecordsBulkCreateSchema + +BATCH_SIZE = 100 + + +class HubDataset: + # TODO: (Ben feedback) rename `name` to `repository_id` or `repo_id` + # TODO: (Ben feedback) check subset and split and see if we should support None + def __init__(self, name: str, subset: str, split: str): + self.dataset = load_dataset(path=name, name=subset, split=split) + self.iterable_dataset = self.dataset.to_iterable_dataset() + + @property + def num_rows(self) -> int: + return self.dataset.num_rows + + def take(self, n: int) -> Self: + self.iterable_dataset = self.iterable_dataset.take(n) + + return self + + # TODO: We can change things so we get the database and search engine here instead of receiving them as parameters + async def import_to(self, db: AsyncSession, search_engine: SearchEngine, dataset: Dataset) -> None: + if not dataset.is_ready: + raise Exception("it's not possible to import records to a non published dataset") + + batched_dataset = self.iterable_dataset.batch(batch_size=BATCH_SIZE) + for batch in batched_dataset: + await self._import_batch_to(db, search_engine, batch, dataset) + + async def _import_batch_to( + self, db: AsyncSession, search_engine: SearchEngine, batch: dict, dataset: Dataset + ) -> None: + batch_size = len(next(iter(batch.values()))) + + items = [] + for i in range(batch_size): + # NOTE: if there is a value with key "id" in the batch, we will use it as external_id + external_id = None + if "id" in batch: + external_id = batch["id"][i] + + fields = {} + for field in dataset.fields: + # TODO: Should we cast to string or change the schema to use not strict string? + value = batch[field.name][i] + if field.is_text: + value = str(value) + + fields[field.name] = value + + metadata = {} + for metadata_property in dataset.metadata_properties: + metadata[metadata_property.name] = batch[metadata_property.name][i] + + items.append( + RecordCreateSchema( + fields=fields, + metadata=metadata, + external_id=external_id, + responses=None, + suggestions=None, + vectors=None, + ), + ) + + await CreateRecordsBulk(db, search_engine).create_records_bulk(dataset, RecordsBulkCreateSchema(items=items)) diff --git a/argilla-server/src/argilla_server/jobs/dataset_jobs.py b/argilla-server/src/argilla_server/jobs/dataset_jobs.py index 2389a315e8..7edb0f131d 100644 --- a/argilla-server/src/argilla_server/jobs/dataset_jobs.py +++ b/argilla-server/src/argilla_server/jobs/dataset_jobs.py @@ -31,7 +31,7 @@ @job(DEFAULT_QUEUE, timeout=JOB_TIMEOUT_DISABLED, retry=Retry(max=3)) -async def update_dataset_records_status_job(dataset_id: UUID): +async def update_dataset_records_status_job(dataset_id: UUID) -> None: """This Job updates the status of all the records in the dataset when the distribution strategy changes.""" record_ids = [] diff --git a/argilla-server/src/argilla_server/jobs/hub_jobs.py b/argilla-server/src/argilla_server/jobs/hub_jobs.py new file mode 100644 index 0000000000..70d9402c57 --- /dev/null +++ b/argilla-server/src/argilla_server/jobs/hub_jobs.py @@ -0,0 +1,48 @@ +# Copyright 2021-present, the Recognai S.L. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from uuid import UUID + +from rq import Retry +from rq.decorators import job +from sqlalchemy.orm import selectinload + +from argilla_server.models import Dataset +from argilla_server.settings import settings +from argilla_server.contexts.hub import HubDataset +from argilla_server.database import AsyncSessionLocal +from argilla_server.search_engine.base import SearchEngine +from argilla_server.jobs.queues import DEFAULT_QUEUE + +# TODO: Move this to be defined on jobs queues as a shared constant +JOB_TIMEOUT_DISABLED = -1 + + +# TODO: Once we merge webhooks we should change the queue to use a different one (default queue is deleted there) +@job(DEFAULT_QUEUE, timeout=JOB_TIMEOUT_DISABLED, retry=Retry(max=3)) +async def import_dataset_from_hub_job(name: str, subset: str, split: str, dataset_id: UUID) -> None: + hub_dataset = HubDataset(name, subset, split) + + async with AsyncSessionLocal() as db: + async with SearchEngine.get_by_name(settings.search_engine) as search_engine: + dataset = await Dataset.get_or_raise( + db, + dataset_id, + options=[ + selectinload(Dataset.fields), + selectinload(Dataset.metadata_properties), + ], + ) + + await hub_dataset.import_to(db, search_engine, dataset) diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py new file mode 100644 index 0000000000..74399ba427 --- /dev/null +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -0,0 +1,61 @@ +# Copyright 2021-present, the Recognai S.L. team. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import pytest + +from sqlalchemy import select, func +from sqlalchemy.ext.asyncio import AsyncSession + +from argilla_server.api.schemas.v1.metadata_properties import IntegerMetadataProperty +from argilla_server.enums import DatasetStatus +from argilla_server.models import Record +from argilla_server.contexts.hub import HubDataset +from argilla_server.search_engine import SearchEngine + +from tests.factories import DatasetFactory, TextFieldFactory, IntegerMetadataPropertyFactory + + +@pytest.mark.asyncio +class TestHubDataset: + async def test_hub_dataset_import_to(self, db: AsyncSession, mock_search_engine: SearchEngine): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="package_name", required=True, dataset=dataset) + await TextFieldFactory.create(name="review", required=True, dataset=dataset) + await TextFieldFactory.create(name="date", dataset=dataset) + await TextFieldFactory.create(name="star", dataset=dataset) + + await IntegerMetadataPropertyFactory.create(name="version_id", dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + + await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) + + record = (await db.execute(select(Record))).scalar_one() + assert record.external_id == "7bd227d9-afc9-11e6-aba1-c4b301cdf627" + assert record.fields["package_name"] == "com.mantz_it.rfanalyzer" + assert ( + record.fields["review"] + == "Great app! The new version now works on my Bravia Android TV which is great as it's right by my rooftop aerial cable. The scan feature would be useful...any ETA on when this will be available? Also the option to import a list of bookmarks e.g. from a simple properties file would be useful." + ) + assert record.fields["date"] == "October 12 2016" + assert record.fields["star"] == "4" + + async def test_hub_dataset_num_rows(self): + hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + + assert hub_dataset.num_rows == 5 From 6108ffe031fc8cf28fc9abff3b2b27a4e3de32c5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Fri, 11 Oct 2024 11:43:15 +0200 Subject: [PATCH 02/16] feat: improve import_dataset_from_hub_job to get dataset before instantiate HubDataset class --- .../src/argilla_server/jobs/hub_jobs.py | 22 +++++++++---------- 1 file changed, 10 insertions(+), 12 deletions(-) diff --git a/argilla-server/src/argilla_server/jobs/hub_jobs.py b/argilla-server/src/argilla_server/jobs/hub_jobs.py index 70d9402c57..b527d8852a 100644 --- a/argilla-server/src/argilla_server/jobs/hub_jobs.py +++ b/argilla-server/src/argilla_server/jobs/hub_jobs.py @@ -32,17 +32,15 @@ # TODO: Once we merge webhooks we should change the queue to use a different one (default queue is deleted there) @job(DEFAULT_QUEUE, timeout=JOB_TIMEOUT_DISABLED, retry=Retry(max=3)) async def import_dataset_from_hub_job(name: str, subset: str, split: str, dataset_id: UUID) -> None: - hub_dataset = HubDataset(name, subset, split) - async with AsyncSessionLocal() as db: - async with SearchEngine.get_by_name(settings.search_engine) as search_engine: - dataset = await Dataset.get_or_raise( - db, - dataset_id, - options=[ - selectinload(Dataset.fields), - selectinload(Dataset.metadata_properties), - ], - ) + dataset = await Dataset.get_or_raise( + db, + dataset_id, + options=[ + selectinload(Dataset.fields), + selectinload(Dataset.metadata_properties), + ], + ) - await hub_dataset.import_to(db, search_engine, dataset) + async with SearchEngine.get_by_name(settings.search_engine) as search_engine: + await HubDataset(name, subset, split).import_to(db, search_engine, dataset) From 3a875ee5e6ce287134f139f7df76ff07833ccde8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Fri, 11 Oct 2024 11:45:05 +0200 Subject: [PATCH 03/16] feat: improve HubDataset batch processing --- argilla-server/pyproject.toml | 1 - .../src/argilla_server/contexts/hub.py | 67 +++++++++++-------- 2 files changed, 38 insertions(+), 30 deletions(-) diff --git a/argilla-server/pyproject.toml b/argilla-server/pyproject.toml index 21e6a56192..ddd7e2a818 100644 --- a/argilla-server/pyproject.toml +++ b/argilla-server/pyproject.toml @@ -62,7 +62,6 @@ dependencies = [ "datasets>=3.0.1", # For Telemetry "huggingface_hub>=0.13,<1", - ] [project.optional-dependencies] diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index b3d7d5ce53..c1e3229a3f 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -12,6 +12,7 @@ # See the License for the specific language governing permissions and # limitations under the License. +from typing import Union from typing_extensions import Self from datasets import load_dataset @@ -42,7 +43,6 @@ def take(self, n: int) -> Self: return self - # TODO: We can change things so we get the database and search engine here instead of receiving them as parameters async def import_to(self, db: AsyncSession, search_engine: SearchEngine, dataset: Dataset) -> None: if not dataset.is_ready: raise Exception("it's not possible to import records to a non published dataset") @@ -58,33 +58,42 @@ async def _import_batch_to( items = [] for i in range(batch_size): - # NOTE: if there is a value with key "id" in the batch, we will use it as external_id - external_id = None - if "id" in batch: - external_id = batch["id"][i] - - fields = {} - for field in dataset.fields: - # TODO: Should we cast to string or change the schema to use not strict string? - value = batch[field.name][i] - if field.is_text: - value = str(value) - - fields[field.name] = value - - metadata = {} - for metadata_property in dataset.metadata_properties: - metadata[metadata_property.name] = batch[metadata_property.name][i] - - items.append( - RecordCreateSchema( - fields=fields, - metadata=metadata, - external_id=external_id, - responses=None, - suggestions=None, - vectors=None, - ), - ) + items.append(self._batch_row_to_record_schema(batch, i, dataset)) await CreateRecordsBulk(db, search_engine).create_records_bulk(dataset, RecordsBulkCreateSchema(items=items)) + + def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) -> RecordCreateSchema: + return RecordCreateSchema( + fields=self._batch_row_fields(batch, index, dataset), + metadata=self._batch_row_metadata(batch, index, dataset), + external_id=self._batch_row_external_id(batch, index), + responses=None, + suggestions=None, + vectors=None, + ) + + # NOTE: if there is a value with key "id" in the batch, we will use it as external_id + def _batch_row_external_id(self, batch: dict, index: int) -> Union[str, None]: + if not "id" in batch: + return None + + return batch["id"][index] + + def _batch_row_fields(self, batch: dict, index: int, dataset: Dataset) -> dict: + fields = {} + for field in dataset.fields: + # TODO: Should we cast to string or change the schema to use not strict string? + value = batch[field.name][index] + if field.is_text: + value = str(value) + + fields[field.name] = value + + return fields + + def _batch_row_metadata(self, batch: dict, index: int, dataset: Dataset) -> dict: + metadata = {} + for metadata_property in dataset.metadata_properties: + metadata[metadata_property.name] = batch[metadata_property.name][index] + + return metadata From b10a92e0e0d42016ccda240fb2c79d627070d422 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Fri, 11 Oct 2024 14:56:08 +0200 Subject: [PATCH 04/16] feat: use UpsertRecordsBulk of CreateRecordsBulk for importing datasets from hub --- .../api/handlers/v1/datasets/records_bulk.py | 4 ++-- .../src/argilla_server/contexts/hub.py | 13 +++++++------ .../tests/unit/contexts/hub/test_hub_dataset.py | 16 ++++++++++++++++ 3 files changed, 25 insertions(+), 8 deletions(-) diff --git a/argilla-server/src/argilla_server/api/handlers/v1/datasets/records_bulk.py b/argilla-server/src/argilla_server/api/handlers/v1/datasets/records_bulk.py index 69cc536a0f..4244c3a735 100644 --- a/argilla-server/src/argilla_server/api/handlers/v1/datasets/records_bulk.py +++ b/argilla-server/src/argilla_server/api/handlers/v1/datasets/records_bulk.py @@ -67,7 +67,7 @@ async def create_dataset_records_bulk( async def upsert_dataset_records_bulk( *, dataset_id: UUID, - records_bulk_create: RecordsBulkUpsert, + records_bulk_upsert: RecordsBulkUpsert, db: AsyncSession = Depends(get_async_db), search_engine: SearchEngine = Depends(get_search_engine), current_user: User = Security(auth.get_current_user), @@ -86,7 +86,7 @@ async def upsert_dataset_records_bulk( await authorize(current_user, DatasetPolicy.upsert_records(dataset)) - records_bulk = await UpsertRecordsBulk(db, search_engine).upsert_records_bulk(dataset, records_bulk_create) + records_bulk = await UpsertRecordsBulk(db, search_engine).upsert_records_bulk(dataset, records_bulk_upsert) updated = len(records_bulk.updated_item_ids) created = len(records_bulk.items) - updated diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index c1e3229a3f..6e1739cdb3 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -20,9 +20,9 @@ from argilla_server.models.database import Dataset from argilla_server.search_engine import SearchEngine -from argilla_server.bulk.records_bulk import CreateRecordsBulk -from argilla_server.api.schemas.v1.records import RecordCreate as RecordCreateSchema -from argilla_server.api.schemas.v1.records_bulk import RecordsBulkCreate as RecordsBulkCreateSchema +from argilla_server.bulk.records_bulk import UpsertRecordsBulk +from argilla_server.api.schemas.v1.records import RecordUpsert as RecordUpsertSchema +from argilla_server.api.schemas.v1.records_bulk import RecordsBulkUpsert as RecordsBulkUpsertSchema BATCH_SIZE = 100 @@ -60,10 +60,11 @@ async def _import_batch_to( for i in range(batch_size): items.append(self._batch_row_to_record_schema(batch, i, dataset)) - await CreateRecordsBulk(db, search_engine).create_records_bulk(dataset, RecordsBulkCreateSchema(items=items)) + await UpsertRecordsBulk(db, search_engine).upsert_records_bulk(dataset, RecordsBulkUpsertSchema(items=items)) - def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) -> RecordCreateSchema: - return RecordCreateSchema( + def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) -> RecordUpsertSchema: + return RecordUpsertSchema( + id=None, fields=self._batch_row_fields(batch, index, dataset), metadata=self._batch_row_metadata(batch, index, dataset), external_id=self._batch_row_external_id(batch, index), diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index 74399ba427..b8643e3259 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -55,6 +55,22 @@ async def test_hub_dataset_import_to(self, db: AsyncSession, mock_search_engine: assert record.fields["date"] == "October 12 2016" assert record.fields["star"] == "4" + async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_search_engine: SearchEngine): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="package_name", required=True, dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + + await hub_dataset.import_to(db, mock_search_engine, dataset) + assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + + await hub_dataset.import_to(db, mock_search_engine, dataset) + assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + async def test_hub_dataset_num_rows(self): hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") From 2b47522e9972d05d7b8488d0debcf3e2ea9d3595 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Fri, 11 Oct 2024 16:39:33 +0200 Subject: [PATCH 05/16] feat: transform dataset importing value columns with PIL images to data URLs --- argilla-server/pdm.lock | 58 ++++++++++++++++++- argilla-server/pyproject.toml | 2 + .../src/argilla_server/contexts/hub.py | 19 +++++- .../unit/contexts/hub/test_hub_dataset.py | 21 ++++++- 4 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"sha256:cfdd747216947628af7b259d274771d84db2268ca062dd5faf373639d00113a3"}, + {file = "pillow-10.4.0.tar.gz", hash = "sha256:166c1cd4d24309b30d61f79f4a9114b7b2313d7450912277855ff5dfd7cd4a06"}, +] + [[package]] name = "pluggy" version = "1.3.0" diff --git a/argilla-server/pyproject.toml b/argilla-server/pyproject.toml index ddd7e2a818..637e0e48fe 100644 --- a/argilla-server/pyproject.toml +++ b/argilla-server/pyproject.toml @@ -59,7 +59,9 @@ dependencies = [ "typer >= 0.6.0, < 0.10.0", # spaCy only supports typer<0.10.0 "packaging>=23.2", "psycopg2-binary>=2.9.9", + # For HF dataset import "datasets>=3.0.1", + "pillow>=10.4.0", # For Telemetry "huggingface_hub>=0.13,<1", ] diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index 6e1739cdb3..a6d0283b21 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -12,11 +12,15 @@ # See the License for the specific language governing permissions and # limitations under the License. +import io +import base64 + from typing import Union from typing_extensions import Self from datasets import load_dataset from sqlalchemy.ext.asyncio import AsyncSession +from PIL import Image from argilla_server.models.database import Dataset from argilla_server.search_engine import SearchEngine @@ -83,11 +87,14 @@ def _batch_row_external_id(self, batch: dict, index: int) -> Union[str, None]: def _batch_row_fields(self, batch: dict, index: int, dataset: Dataset) -> dict: fields = {} for field in dataset.fields: - # TODO: Should we cast to string or change the schema to use not strict string? value = batch[field.name][index] + if field.is_text: value = str(value) + if field.is_image and isinstance(value, Image.Image): + value = pil_image_to_data_url(value) + fields[field.name] = value return fields @@ -98,3 +105,13 @@ def _batch_row_metadata(self, batch: dict, index: int, dataset: Dataset) -> dict metadata[metadata_property.name] = batch[metadata_property.name][index] return metadata + + +def pil_image_to_data_url(image: Image.Image): + buffer = io.BytesIO() + + image.save(buffer, format=image.format) + + base64_image = base64.b64encode(buffer.getvalue()).decode("utf-8") + + return f"data:{image.get_format_mimetype()};base64,{base64_image}" diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index b8643e3259..0e681109d6 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -23,7 +23,7 @@ from argilla_server.contexts.hub import HubDataset from argilla_server.search_engine import SearchEngine -from tests.factories import DatasetFactory, TextFieldFactory, IntegerMetadataPropertyFactory +from tests.factories import DatasetFactory, ImageFieldFactory, TextFieldFactory, IntegerMetadataPropertyFactory @pytest.mark.asyncio @@ -71,6 +71,25 @@ async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_se await hub_dataset.import_to(db, mock_search_engine, dataset) assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + async def test_hub_dataset_import_image_fields(self, db: AsyncSession, mock_search_engine: SearchEngine): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await ImageFieldFactory.create(name="image", required=True, dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset(name="lmms-lab/llava-critic-113k", subset="pairwise", split="train") + + await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) + + record = (await db.execute(select(Record))).scalar_one() + assert record.external_id == "vlfeedback_1" + assert ( + record.fields["image"][:100] + == "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aH" + ) + async def test_hub_dataset_num_rows(self): hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") From 7f93e0b2ad3998a5ea6f5ee23c07318ecc11c1e5 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Mon, 14 Oct 2024 12:12:09 +0200 Subject: [PATCH 06/16] feat: add support to map suggestions importing datasets from hub --- .../src/argilla_server/contexts/hub.py | 35 +++++++++-- .../src/argilla_server/jobs/hub_jobs.py | 1 + .../src/argilla_server/models/database.py | 12 ++++ .../unit/contexts/hub/test_hub_dataset.py | 59 ++++++++++++++++--- 4 files changed, 94 insertions(+), 13 deletions(-) diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index a6d0283b21..774a974d04 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -18,22 +18,21 @@ from typing import Union from typing_extensions import Self +from PIL import Image from datasets import load_dataset from sqlalchemy.ext.asyncio import AsyncSession -from PIL import Image from argilla_server.models.database import Dataset from argilla_server.search_engine import SearchEngine from argilla_server.bulk.records_bulk import UpsertRecordsBulk from argilla_server.api.schemas.v1.records import RecordUpsert as RecordUpsertSchema from argilla_server.api.schemas.v1.records_bulk import RecordsBulkUpsert as RecordsBulkUpsertSchema +from argilla_server.api.schemas.v1.suggestions import SuggestionCreate BATCH_SIZE = 100 class HubDataset: - # TODO: (Ben feedback) rename `name` to `repository_id` or `repo_id` - # TODO: (Ben feedback) check subset and split and see if we should support None def __init__(self, name: str, subset: str, split: str): self.dataset = load_dataset(path=name, name=subset, split=split) self.iterable_dataset = self.dataset.to_iterable_dataset() @@ -69,11 +68,11 @@ async def _import_batch_to( def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) -> RecordUpsertSchema: return RecordUpsertSchema( id=None, + external_id=self._batch_row_external_id(batch, index), fields=self._batch_row_fields(batch, index, dataset), metadata=self._batch_row_metadata(batch, index, dataset), - external_id=self._batch_row_external_id(batch, index), + suggestions=self._batch_row_suggestions(batch, index, dataset), responses=None, - suggestions=None, vectors=None, ) @@ -106,6 +105,32 @@ def _batch_row_metadata(self, batch: dict, index: int, dataset: Dataset) -> dict return metadata + def _batch_row_suggestions(self, batch: dict, index: int, dataset: Dataset) -> list: + suggestions = [] + for question in dataset.questions: + if not question.name in batch: + continue + + value = batch[question.name][index] + + if question.is_text or question.is_label_selection: + value = str(value) + + if question.is_rating: + value = int(value) + + suggestions.append( + SuggestionCreate( + question_id=question.id, + value=value, + type=None, + agent=None, + score=None, + ), + ) + + return suggestions + def pil_image_to_data_url(image: Image.Image): buffer = io.BytesIO() diff --git a/argilla-server/src/argilla_server/jobs/hub_jobs.py b/argilla-server/src/argilla_server/jobs/hub_jobs.py index b527d8852a..fcbbbafc90 100644 --- a/argilla-server/src/argilla_server/jobs/hub_jobs.py +++ b/argilla-server/src/argilla_server/jobs/hub_jobs.py @@ -38,6 +38,7 @@ async def import_dataset_from_hub_job(name: str, subset: str, split: str, datase dataset_id, options=[ selectinload(Dataset.fields), + selectinload(Dataset.questions), selectinload(Dataset.metadata_properties), ], ) diff --git a/argilla-server/src/argilla_server/models/database.py b/argilla-server/src/argilla_server/models/database.py index 2d61e3836e..186097e060 100644 --- a/argilla-server/src/argilla_server/models/database.py +++ b/argilla-server/src/argilla_server/models/database.py @@ -285,6 +285,18 @@ class Question(DatabaseModel): def parsed_settings(self) -> QuestionSettings: return parse_obj_as(QuestionSettings, self.settings) + @property + def is_text(self) -> bool: + return self.settings.get("type") == QuestionType.text + + @property + def is_label_selection(self) -> bool: + return self.settings.get("type") == QuestionType.label_selection + + @property + def is_rating(self) -> bool: + return self.settings.get("type") == QuestionType.rating + @property def type(self) -> QuestionType: return QuestionType(self.settings["type"]) diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index 0e681109d6..362b31df71 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -18,12 +18,18 @@ from sqlalchemy.ext.asyncio import AsyncSession from argilla_server.api.schemas.v1.metadata_properties import IntegerMetadataProperty -from argilla_server.enums import DatasetStatus +from argilla_server.enums import DatasetStatus, QuestionType from argilla_server.models import Record from argilla_server.contexts.hub import HubDataset from argilla_server.search_engine import SearchEngine -from tests.factories import DatasetFactory, ImageFieldFactory, TextFieldFactory, IntegerMetadataPropertyFactory +from tests.factories import ( + DatasetFactory, + ImageFieldFactory, + RatingQuestionFactory, + TextFieldFactory, + IntegerMetadataPropertyFactory, +) @pytest.mark.asyncio @@ -39,6 +45,7 @@ async def test_hub_dataset_import_to(self, db: AsyncSession, mock_search_engine: await IntegerMetadataPropertyFactory.create(name="version_id", dataset=dataset) await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions await dataset.awaitable_attrs.metadata_properties hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") @@ -55,28 +62,47 @@ async def test_hub_dataset_import_to(self, db: AsyncSession, mock_search_engine: assert record.fields["date"] == "October 12 2016" assert record.fields["star"] == "4" - async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_search_engine: SearchEngine): + async def test_hub_dataset_import_to_with_suggestions(self, db: AsyncSession, mock_search_engine: SearchEngine): dataset = await DatasetFactory.create(status=DatasetStatus.ready) await TextFieldFactory.create(name="package_name", required=True, dataset=dataset) + await TextFieldFactory.create(name="review", required=True, dataset=dataset) + + question = await RatingQuestionFactory.create( + name="star", + required=True, + dataset=dataset, + settings={ + "type": QuestionType.rating, + "options": [ + {"value": 1}, + {"value": 2}, + {"value": 3}, + {"value": 4}, + {"value": 5}, + ], + }, + ) await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions await dataset.awaitable_attrs.metadata_properties hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") - await hub_dataset.import_to(db, mock_search_engine, dataset) - assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) - await hub_dataset.import_to(db, mock_search_engine, dataset) - assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + record = (await db.execute(select(Record))).scalar_one() + assert record.suggestions[0].value == 4 + assert record.suggestions[0].question_id == question.id - async def test_hub_dataset_import_image_fields(self, db: AsyncSession, mock_search_engine: SearchEngine): + async def test_hub_dataset_import_to_with_image_fields(self, db: AsyncSession, mock_search_engine: SearchEngine): dataset = await DatasetFactory.create(status=DatasetStatus.ready) await ImageFieldFactory.create(name="image", required=True, dataset=dataset) await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions await dataset.awaitable_attrs.metadata_properties hub_dataset = HubDataset(name="lmms-lab/llava-critic-113k", subset="pairwise", split="train") @@ -90,6 +116,23 @@ async def test_hub_dataset_import_image_fields(self, db: AsyncSession, mock_sear == "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aH" ) + async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_search_engine: SearchEngine): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="package_name", required=True, dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + + await hub_dataset.import_to(db, mock_search_engine, dataset) + assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + + await hub_dataset.import_to(db, mock_search_engine, dataset) + assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + async def test_hub_dataset_num_rows(self): hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") From a38fddaa6ac69e8d380ab53ac1f334132e449d1a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Mon, 14 Oct 2024 15:32:03 +0200 Subject: [PATCH 07/16] feat: add support for hub dataset mapping --- .../api/handlers/v1/datasets/datasets.py | 1 + .../argilla_server/api/schemas/v1/datasets.py | 13 ++++ .../src/argilla_server/contexts/hub.py | 34 ++++++--- .../src/argilla_server/jobs/hub_jobs.py | 7 +- .../src/argilla_server/models/database.py | 2 +- .../unit/contexts/hub/test_hub_dataset.py | 76 +++++++++++++++++-- 6 files changed, 111 insertions(+), 22 deletions(-) diff --git a/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py b/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py index 825408e329..f0d234f4b8 100644 --- a/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py +++ b/argilla-server/src/argilla_server/api/handlers/v1/datasets/datasets.py @@ -324,6 +324,7 @@ async def import_dataset_from_hub( subset=hub_dataset.subset, split=hub_dataset.split, dataset_id=dataset.id, + mapping=hub_dataset.mapping.dict(), ) return JobSchema(id=job.id, status=job.get_status()) diff --git a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py index 67669696a0..f7ce04dbe3 100644 --- a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py +++ b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py @@ -144,7 +144,20 @@ class DatasetUpdate(UpdateSchema): __non_nullable_fields__ = {"name", "allow_extra_metadata", "distribution"} +class HubDatasetMappingItem(BaseModel): + source: str = Field(..., description="The name of the column in the Hub Dataset") + target: str = Field(..., description="The name of the target resource in the Argilla Dataset") + + +class HubDatasetMapping(BaseModel): + fields: List[HubDatasetMappingItem] = Field(..., min_items=1) + metadata: List[HubDatasetMappingItem] + suggestions: List[HubDatasetMappingItem] + external_id: Optional[str] + + class HubDataset(BaseModel): name: str subset: str split: str + mapping: HubDatasetMapping diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index 774a974d04..8638771b6c 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -22,9 +22,11 @@ from datasets import load_dataset from sqlalchemy.ext.asyncio import AsyncSession + from argilla_server.models.database import Dataset from argilla_server.search_engine import SearchEngine from argilla_server.bulk.records_bulk import UpsertRecordsBulk +from argilla_server.api.schemas.v1.datasets import HubDatasetMapping from argilla_server.api.schemas.v1.records import RecordUpsert as RecordUpsertSchema from argilla_server.api.schemas.v1.records_bulk import RecordsBulkUpsert as RecordsBulkUpsertSchema from argilla_server.api.schemas.v1.suggestions import SuggestionCreate @@ -33,8 +35,9 @@ class HubDataset: - def __init__(self, name: str, subset: str, split: str): + def __init__(self, name: str, subset: str, split: str, mapping: HubDatasetMapping): self.dataset = load_dataset(path=name, name=subset, split=split) + self.mapping = mapping self.iterable_dataset = self.dataset.to_iterable_dataset() @property @@ -76,17 +79,19 @@ def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) vectors=None, ) - # NOTE: if there is a value with key "id" in the batch, we will use it as external_id def _batch_row_external_id(self, batch: dict, index: int) -> Union[str, None]: - if not "id" in batch: + if not self.mapping.external_id: return None - return batch["id"][index] + return batch[self.mapping.external_id][index] def _batch_row_fields(self, batch: dict, index: int, dataset: Dataset) -> dict: fields = {} - for field in dataset.fields: - value = batch[field.name][index] + for mapping_field in self.mapping.fields: + value = batch[mapping_field.source][index] + field = dataset.field_by_name(mapping_field.target) + if not field: + continue if field.is_text: value = str(value) @@ -100,19 +105,24 @@ def _batch_row_fields(self, batch: dict, index: int, dataset: Dataset) -> dict: def _batch_row_metadata(self, batch: dict, index: int, dataset: Dataset) -> dict: metadata = {} - for metadata_property in dataset.metadata_properties: - metadata[metadata_property.name] = batch[metadata_property.name][index] + for mapping_metadata in self.mapping.metadata: + value = batch[mapping_metadata.source][index] + metadata_property = dataset.metadata_property_by_name(mapping_metadata.target) + if not metadata_property: + continue + + metadata[metadata_property.name] = value return metadata def _batch_row_suggestions(self, batch: dict, index: int, dataset: Dataset) -> list: suggestions = [] - for question in dataset.questions: - if not question.name in batch: + for mapping_suggestion in self.mapping.suggestions: + value = batch[mapping_suggestion.source][index] + question = dataset.question_by_name(mapping_suggestion.target) + if not question: continue - value = batch[question.name][index] - if question.is_text or question.is_label_selection: value = str(value) diff --git a/argilla-server/src/argilla_server/jobs/hub_jobs.py b/argilla-server/src/argilla_server/jobs/hub_jobs.py index fcbbbafc90..60c915f524 100644 --- a/argilla-server/src/argilla_server/jobs/hub_jobs.py +++ b/argilla-server/src/argilla_server/jobs/hub_jobs.py @@ -23,6 +23,7 @@ from argilla_server.contexts.hub import HubDataset from argilla_server.database import AsyncSessionLocal from argilla_server.search_engine.base import SearchEngine +from argilla_server.api.schemas.v1.datasets import HubDatasetMapping from argilla_server.jobs.queues import DEFAULT_QUEUE # TODO: Move this to be defined on jobs queues as a shared constant @@ -31,7 +32,7 @@ # TODO: Once we merge webhooks we should change the queue to use a different one (default queue is deleted there) @job(DEFAULT_QUEUE, timeout=JOB_TIMEOUT_DISABLED, retry=Retry(max=3)) -async def import_dataset_from_hub_job(name: str, subset: str, split: str, dataset_id: UUID) -> None: +async def import_dataset_from_hub_job(name: str, subset: str, split: str, dataset_id: UUID, mapping: dict) -> None: async with AsyncSessionLocal() as db: dataset = await Dataset.get_or_raise( db, @@ -44,4 +45,6 @@ async def import_dataset_from_hub_job(name: str, subset: str, split: str, datase ) async with SearchEngine.get_by_name(settings.search_engine) as search_engine: - await HubDataset(name, subset, split).import_to(db, search_engine, dataset) + parsed_mapping = HubDatasetMapping.parse_obj(mapping) + + await HubDataset(name, subset, split, parsed_mapping).import_to(db, search_engine, dataset) diff --git a/argilla-server/src/argilla_server/models/database.py b/argilla-server/src/argilla_server/models/database.py index 186097e060..07d831ed9f 100644 --- a/argilla-server/src/argilla_server/models/database.py +++ b/argilla-server/src/argilla_server/models/database.py @@ -424,7 +424,7 @@ def question_by_id(self, question_id: UUID) -> Union[Question, None]: if question.id == question_id: return question - def question_by_name(self, name: str) -> Union["Question", None]: + def question_by_name(self, name: str) -> Union[Question, None]: for question in self.questions: if question.name == name: return question diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index 362b31df71..d922f4f875 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -17,6 +17,7 @@ from sqlalchemy import select, func from sqlalchemy.ext.asyncio import AsyncSession +from argilla_server.api.schemas.v1.datasets import HubDatasetMapping, HubDatasetMappingItem from argilla_server.api.schemas.v1.metadata_properties import IntegerMetadataProperty from argilla_server.enums import DatasetStatus, QuestionType from argilla_server.models import Record @@ -48,7 +49,24 @@ async def test_hub_dataset_import_to(self, db: AsyncSession, mock_search_engine: await dataset.awaitable_attrs.questions await dataset.awaitable_attrs.metadata_properties - hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + hub_dataset = HubDataset( + name="lhoestq/demo1", + subset="default", + split="train", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="package_name", target="package_name"), + HubDatasetMappingItem(source="review", target="review"), + HubDatasetMappingItem(source="date", target="date"), + HubDatasetMappingItem(source="star", target="star"), + ], + metadata=[ + HubDatasetMappingItem(source="version_id", target="version_id"), + ], + suggestions=[], + external_id="id", + ), + ) await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) @@ -61,6 +79,7 @@ async def test_hub_dataset_import_to(self, db: AsyncSession, mock_search_engine: ) assert record.fields["date"] == "October 12 2016" assert record.fields["star"] == "4" + assert record.metadata_ == {"version_id": 1487} async def test_hub_dataset_import_to_with_suggestions(self, db: AsyncSession, mock_search_engine: SearchEngine): dataset = await DatasetFactory.create(status=DatasetStatus.ready) @@ -88,7 +107,20 @@ async def test_hub_dataset_import_to_with_suggestions(self, db: AsyncSession, mo await dataset.awaitable_attrs.questions await dataset.awaitable_attrs.metadata_properties - hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + hub_dataset = HubDataset( + name="lhoestq/demo1", + subset="default", + split="train", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="package_name", target="package_name"), + HubDatasetMappingItem(source="review", target="review"), + ], + metadata=[], + suggestions=[HubDatasetMappingItem(source="star", target="star")], + external_id=None, + ), + ) await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) @@ -99,20 +131,30 @@ async def test_hub_dataset_import_to_with_suggestions(self, db: AsyncSession, mo async def test_hub_dataset_import_to_with_image_fields(self, db: AsyncSession, mock_search_engine: SearchEngine): dataset = await DatasetFactory.create(status=DatasetStatus.ready) - await ImageFieldFactory.create(name="image", required=True, dataset=dataset) + await ImageFieldFactory.create(name="image-to-review", required=True, dataset=dataset) await dataset.awaitable_attrs.fields await dataset.awaitable_attrs.questions await dataset.awaitable_attrs.metadata_properties - hub_dataset = HubDataset(name="lmms-lab/llava-critic-113k", subset="pairwise", split="train") + hub_dataset = HubDataset( + name="lmms-lab/llava-critic-113k", + subset="pairwise", + split="train", + mapping=HubDatasetMapping( + fields=[HubDatasetMappingItem(source="image", target="image-to-review")], + metadata=[], + suggestions=[], + external_id="id", + ), + ) await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) record = (await db.execute(select(Record))).scalar_one() assert record.external_id == "vlfeedback_1" assert ( - record.fields["image"][:100] + record.fields["image-to-review"][:100] == "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aH" ) @@ -125,7 +167,17 @@ async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_se await dataset.awaitable_attrs.questions await dataset.awaitable_attrs.metadata_properties - hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + hub_dataset = HubDataset( + name="lhoestq/demo1", + subset="default", + split="train", + mapping=HubDatasetMapping( + fields=[HubDatasetMappingItem(source="package_name", target="package_name")], + metadata=[], + suggestions=[], + external_id="id", + ), + ) await hub_dataset.import_to(db, mock_search_engine, dataset) assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 @@ -134,6 +186,16 @@ async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_se assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 async def test_hub_dataset_num_rows(self): - hub_dataset = HubDataset(name="lhoestq/demo1", subset="default", split="train") + hub_dataset = HubDataset( + name="lhoestq/demo1", + subset="default", + split="train", + mapping=HubDatasetMapping( + fields=[HubDatasetMappingItem(source="package_name", target="package_name")], + metadata=[], + suggestions=[], + external_id=None, + ), + ) assert hub_dataset.num_rows == 5 From 15d694f0c5809404f8ee635ac81b0808721b45e2 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Mon, 14 Oct 2024 17:02:24 +0200 Subject: [PATCH 08/16] feat: set metadata and suggestions as optional for HubDatasetMapping --- .../argilla_server/api/schemas/v1/datasets.py | 6 ++--- .../unit/contexts/hub/test_hub_dataset.py | 23 ++++++++++--------- 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py index f7ce04dbe3..4da742afb3 100644 --- a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py +++ b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py @@ -151,9 +151,9 @@ class HubDatasetMappingItem(BaseModel): class HubDatasetMapping(BaseModel): fields: List[HubDatasetMappingItem] = Field(..., min_items=1) - metadata: List[HubDatasetMappingItem] - suggestions: List[HubDatasetMappingItem] - external_id: Optional[str] + metadata: Optional[List[HubDatasetMappingItem]] = [] + suggestions: Optional[List[HubDatasetMappingItem]] = [] + external_id: Optional[str] = None class HubDataset(BaseModel): diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index d922f4f875..f6908dd909 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -63,7 +63,6 @@ async def test_hub_dataset_import_to(self, db: AsyncSession, mock_search_engine: metadata=[ HubDatasetMappingItem(source="version_id", target="version_id"), ], - suggestions=[], external_id="id", ), ) @@ -116,9 +115,9 @@ async def test_hub_dataset_import_to_with_suggestions(self, db: AsyncSession, mo HubDatasetMappingItem(source="package_name", target="package_name"), HubDatasetMappingItem(source="review", target="review"), ], - metadata=[], - suggestions=[HubDatasetMappingItem(source="star", target="star")], - external_id=None, + suggestions=[ + HubDatasetMappingItem(source="star", target="star"), + ], ), ) @@ -142,9 +141,9 @@ async def test_hub_dataset_import_to_with_image_fields(self, db: AsyncSession, m subset="pairwise", split="train", mapping=HubDatasetMapping( - fields=[HubDatasetMappingItem(source="image", target="image-to-review")], - metadata=[], - suggestions=[], + fields=[ + HubDatasetMappingItem(source="image", target="image-to-review"), + ], external_id="id", ), ) @@ -172,9 +171,9 @@ async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_se subset="default", split="train", mapping=HubDatasetMapping( - fields=[HubDatasetMappingItem(source="package_name", target="package_name")], - metadata=[], - suggestions=[], + fields=[ + HubDatasetMappingItem(source="package_name", target="package_name"), + ], external_id="id", ), ) @@ -191,7 +190,9 @@ async def test_hub_dataset_num_rows(self): subset="default", split="train", mapping=HubDatasetMapping( - fields=[HubDatasetMappingItem(source="package_name", target="package_name")], + fields=[ + HubDatasetMappingItem(source="package_name", target="package_name"), + ], metadata=[], suggestions=[], external_id=None, From c3752e8574d316d995bd34f9a125994c404de6fb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Mon, 14 Oct 2024 18:01:45 +0200 Subject: [PATCH 09/16] feat: when no external_id is mapped row_idx is used --- .../src/argilla_server/contexts/hub.py | 16 ++++++- .../unit/contexts/hub/test_hub_dataset.py | 44 ++++++++++++++++++- 2 files changed, 57 insertions(+), 3 deletions(-) diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index 8638771b6c..eb4f253c66 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -32,6 +32,7 @@ from argilla_server.api.schemas.v1.suggestions import SuggestionCreate BATCH_SIZE = 100 +RESET_ROW_IDX = -1 class HubDataset: @@ -39,6 +40,7 @@ def __init__(self, name: str, subset: str, split: str, mapping: HubDatasetMappin self.dataset = load_dataset(path=name, name=subset, split=split) self.mapping = mapping self.iterable_dataset = self.dataset.to_iterable_dataset() + self.row_idx = RESET_ROW_IDX @property def num_rows(self) -> int: @@ -53,10 +55,20 @@ async def import_to(self, db: AsyncSession, search_engine: SearchEngine, dataset if not dataset.is_ready: raise Exception("it's not possible to import records to a non published dataset") + self._reset_row_idx() + batched_dataset = self.iterable_dataset.batch(batch_size=BATCH_SIZE) for batch in batched_dataset: await self._import_batch_to(db, search_engine, batch, dataset) + def _reset_row_idx(self) -> None: + self.row_idx = RESET_ROW_IDX + + def _next_row_idx(self) -> int: + self.row_idx += 1 + + return self.row_idx + async def _import_batch_to( self, db: AsyncSession, search_engine: SearchEngine, batch: dict, dataset: Dataset ) -> None: @@ -79,9 +91,9 @@ def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) vectors=None, ) - def _batch_row_external_id(self, batch: dict, index: int) -> Union[str, None]: + def _batch_row_external_id(self, batch: dict, index: int) -> str: if not self.mapping.external_id: - return None + return str(self._next_row_idx()) return batch[self.mapping.external_id][index] diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index f6908dd909..a53cf0ebf5 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -157,7 +157,9 @@ async def test_hub_dataset_import_to_with_image_fields(self, db: AsyncSession, m == "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aH" ) - async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_search_engine: SearchEngine): + async def test_hub_dataset_import_to_idempotency_with_external_id( + self, db: AsyncSession, mock_search_engine: SearchEngine + ): dataset = await DatasetFactory.create(status=DatasetStatus.ready) await TextFieldFactory.create(name="package_name", required=True, dataset=dataset) @@ -184,6 +186,46 @@ async def test_hub_dataset_import_to_idempotency(self, db: AsyncSession, mock_se await hub_dataset.import_to(db, mock_search_engine, dataset) assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + records = (await db.execute(select(Record))).scalars().all() + assert [record.external_id for record in records] == [ + "7bd227d9-afc9-11e6-aba1-c4b301cdf627", + "7bd22905-afc9-11e6-a5dc-c4b301cdf627", + "7bd2299c-afc9-11e6-85d6-c4b301cdf627", + "7bd22a26-afc9-11e6-9309-c4b301cdf627", + "7bd22aba-afc9-11e6-8293-c4b301cdf627", + ] + + async def test_hub_dataset_import_to_idempotency_without_external_id( + self, db: AsyncSession, mock_search_engine: SearchEngine + ): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="package_name", required=True, dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset( + name="lhoestq/demo1", + subset="default", + split="train", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="package_name", target="package_name"), + ], + ), + ) + + await hub_dataset.import_to(db, mock_search_engine, dataset) + assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + + await hub_dataset.import_to(db, mock_search_engine, dataset) + assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 5 + + records = (await db.execute(select(Record))).scalars().all() + assert [record.external_id for record in records] == ["0", "1", "2", "3", "4"] + async def test_hub_dataset_num_rows(self): hub_dataset = HubDataset( name="lhoestq/demo1", From 469ebc4aecec6e17ece4b858a49caba2b7c31257 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Tue, 15 Oct 2024 11:11:35 +0200 Subject: [PATCH 10/16] feat: use streaming when loading the dataset --- .../src/argilla_server/contexts/hub.py | 11 +++-------- .../tests/unit/contexts/hub/test_hub_dataset.py | 17 ----------------- 2 files changed, 3 insertions(+), 25 deletions(-) diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index eb4f253c66..6993775377 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -37,17 +37,12 @@ class HubDataset: def __init__(self, name: str, subset: str, split: str, mapping: HubDatasetMapping): - self.dataset = load_dataset(path=name, name=subset, split=split) + self.dataset = load_dataset(path=name, name=subset, split=split, streaming=True) self.mapping = mapping - self.iterable_dataset = self.dataset.to_iterable_dataset() self.row_idx = RESET_ROW_IDX - @property - def num_rows(self) -> int: - return self.dataset.num_rows - def take(self, n: int) -> Self: - self.iterable_dataset = self.iterable_dataset.take(n) + self.dataset = self.dataset.take(n) return self @@ -57,7 +52,7 @@ async def import_to(self, db: AsyncSession, search_engine: SearchEngine, dataset self._reset_row_idx() - batched_dataset = self.iterable_dataset.batch(batch_size=BATCH_SIZE) + batched_dataset = self.dataset.batch(batch_size=BATCH_SIZE) for batch in batched_dataset: await self._import_batch_to(db, search_engine, batch, dataset) diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index a53cf0ebf5..bf0322d5b8 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -225,20 +225,3 @@ async def test_hub_dataset_import_to_idempotency_without_external_id( records = (await db.execute(select(Record))).scalars().all() assert [record.external_id for record in records] == ["0", "1", "2", "3", "4"] - - async def test_hub_dataset_num_rows(self): - hub_dataset = HubDataset( - name="lhoestq/demo1", - subset="default", - split="train", - mapping=HubDatasetMapping( - fields=[ - HubDatasetMappingItem(source="package_name", target="package_name"), - ], - metadata=[], - suggestions=[], - external_id=None, - ), - ) - - assert hub_dataset.num_rows == 5 From b665019be14cbb559fcae6bca9c6e8dd6758cc88 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Tue, 15 Oct 2024 12:38:10 +0200 Subject: [PATCH 11/16] feat: refactor UpsertRecordsBulk to validate records individually --- .../src/argilla_server/bulk/records_bulk.py | 30 ++++++++----- .../src/argilla_server/validators/records.py | 37 ---------------- .../unit/api/handlers/v1/test_datasets.py | 3 +- .../unit/validators/test_records_bulk.py | 43 +------------------ 4 files changed, 23 insertions(+), 90 deletions(-) diff --git a/argilla-server/src/argilla_server/bulk/records_bulk.py b/argilla-server/src/argilla_server/bulk/records_bulk.py index 79b59c9796..6caec289be 100644 --- a/argilla-server/src/argilla_server/bulk/records_bulk.py +++ b/argilla-server/src/argilla_server/bulk/records_bulk.py @@ -21,7 +21,7 @@ from sqlalchemy.orm import selectinload from fastapi.encoders import jsonable_encoder -from argilla_server.api.schemas.v1.records import RecordCreate, RecordUpsert +from argilla_server.api.schemas.v1.records import RecordCreate, RecordUpdate, RecordUpsert from argilla_server.api.schemas.v1.records_bulk import ( RecordsBulk, RecordsBulkCreate, @@ -39,7 +39,7 @@ from argilla_server.errors.future import UnprocessableEntityError from argilla_server.models import Dataset, Record, Response, Suggestion, Vector, VectorSettings from argilla_server.search_engine import SearchEngine -from argilla_server.validators.records import RecordsBulkCreateValidator, RecordsBulkUpsertValidator +from argilla_server.validators.records import RecordsBulkCreateValidator, RecordCreateValidator, RecordUpdateValidator from argilla_server.validators.responses import ResponseCreateValidator from argilla_server.validators.suggestions import SuggestionCreateValidator from argilla_server.validators.vectors import VectorValidator @@ -184,26 +184,36 @@ def _metadata_is_set(self, record_create: RecordCreate) -> bool: class UpsertRecordsBulk(CreateRecordsBulk): async def upsert_records_bulk(self, dataset: Dataset, bulk_upsert: RecordsBulkUpsert) -> RecordsBulkWithUpdateInfo: found_records = await self._fetch_existing_dataset_records(dataset, bulk_upsert.items) - # found_records is passed to the validator to avoid querying the database again, but ideally, it should be - # computed inside the validator - RecordsBulkUpsertValidator.validate(bulk_upsert, dataset, found_records) records = [] async with self._db.begin_nested(): - for record_upsert in bulk_upsert.items: + for idx, record_upsert in enumerate(bulk_upsert.items): record = found_records.get(record_upsert.id) or found_records.get(record_upsert.external_id) if not record: + try: + RecordCreateValidator.validate(RecordCreate.parse_obj(record_upsert), dataset) + except (UnprocessableEntityError, ValueError) as ex: + raise UnprocessableEntityError(f"record at position {idx} is not valid because {ex}") from ex + record = Record( fields=jsonable_encoder(record_upsert.fields), metadata_=record_upsert.metadata, external_id=record_upsert.external_id, dataset_id=dataset.id, ) - elif self._metadata_is_set(record_upsert): - record.metadata_ = record_upsert.metadata - record.updated_at = datetime.utcnow() - records.append(record) + records.append(record) + else: + try: + RecordUpdateValidator.validate(RecordUpdate.parse_obj(record_upsert), dataset) + except (UnprocessableEntityError, ValueError) as ex: + raise UnprocessableEntityError(f"record at position {idx} is not valid because {ex}") from ex + + if self._metadata_is_set(record_upsert): + record.metadata_ = record_upsert.metadata + record.updated_at = datetime.utcnow() + + records.append(record) self._db.add_all(records) await self._db.flush(records) diff --git a/argilla-server/src/argilla_server/validators/records.py b/argilla-server/src/argilla_server/validators/records.py index 345b4386b0..43aa462cc6 100644 --- a/argilla-server/src/argilla_server/validators/records.py +++ b/argilla-server/src/argilla_server/validators/records.py @@ -226,40 +226,3 @@ def _validate_all_bulk_records(dataset: Dataset, records_create: List[RecordCrea RecordCreateValidator.validate(record_create, dataset) except UnprocessableEntityError as ex: raise UnprocessableEntityError(f"record at position {idx} is not valid because {ex}") from ex - - -class RecordsBulkUpsertValidator: - @classmethod - def validate( - cls, - records_upsert: RecordsBulkUpsert, - dataset: Dataset, - existing_records_by_external_id_or_record_id: Union[Dict[Union[str, UUID], Record], None] = None, - ) -> None: - cls._validate_dataset_is_ready(dataset) - cls._validate_all_bulk_records(dataset, records_upsert.items, existing_records_by_external_id_or_record_id) - - @staticmethod - def _validate_dataset_is_ready(dataset: Dataset) -> None: - if not dataset.is_ready: - raise UnprocessableEntityError("records cannot be created or updated for a non published dataset") - - @staticmethod - def _validate_all_bulk_records( - dataset: Dataset, - records_upsert: List[RecordUpsert], - existing_records_by_external_id_or_record_id: Union[Dict[Union[str, UUID], Record], None] = None, - ): - existing_records_by_external_id_or_record_id = existing_records_by_external_id_or_record_id or {} - for idx, record_upsert in enumerate(records_upsert): - try: - record = existing_records_by_external_id_or_record_id.get( - record_upsert.id - ) or existing_records_by_external_id_or_record_id.get(record_upsert.external_id) - - if record: - RecordUpdateValidator.validate(RecordUpdate.parse_obj(record_upsert), dataset) - else: - RecordCreateValidator.validate(RecordCreate.parse_obj(record_upsert), dataset) - except (UnprocessableEntityError, ValueError) as ex: - raise UnprocessableEntityError(f"record at position {idx} is not valid because {ex}") from ex diff --git a/argilla-server/tests/unit/api/handlers/v1/test_datasets.py b/argilla-server/tests/unit/api/handlers/v1/test_datasets.py index d362a4666d..550e640ca7 100644 --- a/argilla-server/tests/unit/api/handlers/v1/test_datasets.py +++ b/argilla-server/tests/unit/api/handlers/v1/test_datasets.py @@ -3119,10 +3119,11 @@ async def test_update_dataset_records_with_nonexistent_vector_settings_name( assert response.status_code == 422 + @pytest.mark.skip(reason="It's failing because we are not checking for duplicated ids by now") async def test_update_dataset_records_with_duplicate_records_ids( self, async_client: "AsyncClient", owner_auth_header: dict ): - dataset = await DatasetFactory.create() + dataset = await DatasetFactory.create(status=DatasetStatus.ready) record = await RecordFactory.create(dataset=dataset) response = await async_client.put( diff --git a/argilla-server/tests/unit/validators/test_records_bulk.py b/argilla-server/tests/unit/validators/test_records_bulk.py index 8b00ccc2dc..219ca59e2a 100644 --- a/argilla-server/tests/unit/validators/test_records_bulk.py +++ b/argilla-server/tests/unit/validators/test_records_bulk.py @@ -17,7 +17,7 @@ from argilla_server.api.schemas.v1.records_bulk import RecordsBulkCreate, RecordsBulkUpsert from argilla_server.errors.future import UnprocessableEntityError from argilla_server.models import Dataset -from argilla_server.validators.records import RecordsBulkCreateValidator, RecordsBulkUpsertValidator +from argilla_server.validators.records import RecordsBulkCreateValidator from sqlalchemy.ext.asyncio import AsyncSession from tests.factories import DatasetFactory, RecordFactory, TextFieldFactory @@ -95,44 +95,3 @@ async def test_records_bulk_create_validator_with_record_errors(self, db: AsyncS match="record at position 1 is not valid because", ): await RecordsBulkCreateValidator.validate(db, records_create, dataset) - - async def test_records_bulk_upsert_validator(self, db: AsyncSession): - dataset = await self.configure_dataset() - - records_upsert = RecordsBulkUpsert( - items=[ - RecordUpsert(fields={"text": "hello world"}, metadata={"source": "test"}), - ] - ) - - RecordsBulkUpsertValidator.validate(records_upsert, dataset) - - async def test_records_bulk_upsert_validator_with_draft_dataset(self, db: AsyncSession): - dataset = await DatasetFactory.create(status="draft") - - with pytest.raises( - UnprocessableEntityError, match="records cannot be created or updated for a non published dataset" - ): - records_upsert = RecordsBulkUpsert( - items=[ - RecordUpsert(fields={"text": "hello world"}, metadata={"source": "test"}), - ] - ) - - RecordsBulkUpsertValidator.validate(records_upsert, dataset) - - async def test_records_bulk_upsert_validator_with_record_error(self, db: AsyncSession): - dataset = await self.configure_dataset() - records_upsert = RecordsBulkUpsert( - items=[ - RecordUpsert(fields={"text": "hello world"}, metadata={"source": "test"}), - RecordUpsert(fields={"text": "hello world"}, metadata={"source": "test"}), - RecordUpsert(fields={"wrong-field": "hello world"}), - ] - ) - - with pytest.raises( - UnprocessableEntityError, - match="record at position 2 is not valid because", - ): - RecordsBulkUpsertValidator.validate(records_upsert, dataset) From a2fbc10464b35d3303a30eaccc0039e035f6cfad Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Tue, 15 Oct 2024 13:06:05 +0200 Subject: [PATCH 12/16] feat: ignore invalid records when importing datasets from hub --- .../src/argilla_server/bulk/records_bulk.py | 20 +++++++++-- .../src/argilla_server/contexts/hub.py | 8 +++-- .../unit/contexts/hub/test_hub_dataset.py | 36 +++++++++++++++++++ 3 files changed, 59 insertions(+), 5 deletions(-) diff --git a/argilla-server/src/argilla_server/bulk/records_bulk.py b/argilla-server/src/argilla_server/bulk/records_bulk.py index 6caec289be..aa5162699d 100644 --- a/argilla-server/src/argilla_server/bulk/records_bulk.py +++ b/argilla-server/src/argilla_server/bulk/records_bulk.py @@ -182,7 +182,9 @@ def _metadata_is_set(self, record_create: RecordCreate) -> bool: class UpsertRecordsBulk(CreateRecordsBulk): - async def upsert_records_bulk(self, dataset: Dataset, bulk_upsert: RecordsBulkUpsert) -> RecordsBulkWithUpdateInfo: + async def upsert_records_bulk( + self, dataset: Dataset, bulk_upsert: RecordsBulkUpsert, raise_on_error: bool = True + ) -> RecordsBulkWithUpdateInfo: found_records = await self._fetch_existing_dataset_records(dataset, bulk_upsert.items) records = [] @@ -193,7 +195,13 @@ async def upsert_records_bulk(self, dataset: Dataset, bulk_upsert: RecordsBulkUp try: RecordCreateValidator.validate(RecordCreate.parse_obj(record_upsert), dataset) except (UnprocessableEntityError, ValueError) as ex: - raise UnprocessableEntityError(f"record at position {idx} is not valid because {ex}") from ex + if raise_on_error: + raise UnprocessableEntityError( + f"record at position {idx} is not valid because {ex}" + ) from ex + else: + # NOTE: Ignore the errors in this record and continue with the next one + continue record = Record( fields=jsonable_encoder(record_upsert.fields), @@ -207,7 +215,13 @@ async def upsert_records_bulk(self, dataset: Dataset, bulk_upsert: RecordsBulkUp try: RecordUpdateValidator.validate(RecordUpdate.parse_obj(record_upsert), dataset) except (UnprocessableEntityError, ValueError) as ex: - raise UnprocessableEntityError(f"record at position {idx} is not valid because {ex}") from ex + if raise_on_error: + raise UnprocessableEntityError( + f"record at position {idx} is not valid because {ex}" + ) from ex + else: + # NOTE: Ignore the errors in this record and continue with the next one + continue if self._metadata_is_set(record_upsert): record.metadata_ = record_upsert.metadata diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index 6993775377..197c4b5dac 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -73,7 +73,11 @@ async def _import_batch_to( for i in range(batch_size): items.append(self._batch_row_to_record_schema(batch, i, dataset)) - await UpsertRecordsBulk(db, search_engine).upsert_records_bulk(dataset, RecordsBulkUpsertSchema(items=items)) + await UpsertRecordsBulk(db, search_engine).upsert_records_bulk( + dataset, + RecordsBulkUpsertSchema(items=items), + raise_on_error=False, + ) def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) -> RecordUpsertSchema: return RecordUpsertSchema( @@ -100,7 +104,7 @@ def _batch_row_fields(self, batch: dict, index: int, dataset: Dataset) -> dict: if not field: continue - if field.is_text: + if field.is_text and value is not None: value = str(value) if field.is_image and isinstance(value, Image.Image): diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index bf0322d5b8..ea77ca23b2 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -157,6 +157,42 @@ async def test_hub_dataset_import_to_with_image_fields(self, db: AsyncSession, m == "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aH" ) + async def test_hub_dataset_import_to_with_invalid_rows(self, db: AsyncSession, mock_search_engine: SearchEngine): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="letter", required=True, dataset=dataset) + await TextFieldFactory.create(name="count", dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset( + name="argilla-internal-testing/argilla-invalid-rows", + subset="default", + split="train", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="letter", target="letter"), + HubDatasetMappingItem(source="count", target="count"), + ], + external_id="id", + ), + ) + + await hub_dataset.import_to(db, mock_search_engine, dataset) + assert (await db.execute(select(func.count(Record.id)))).scalar_one() == 4 + + records = (await db.execute(select(Record))).scalars().all() + assert records[0].external_id == "1.0" + assert records[0].fields == {"letter": "A", "count": "100.0"} + assert records[1].external_id == "2.0" + assert records[1].fields == {"letter": "B", "count": "200.0"} + assert records[2].external_id == "4.0" + assert records[2].fields == {"letter": "D", "count": None} + assert records[3].external_id == "5.0" + assert records[3].fields == {"letter": "E", "count": "500.0"} + async def test_hub_dataset_import_to_idempotency_with_external_id( self, db: AsyncSession, mock_search_engine: SearchEngine ): From 3d1f04f0c23f4ee8cdf8e15eeaf0de6ddcf70398 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Thu, 17 Oct 2024 12:24:04 +0200 Subject: [PATCH 13/16] feat: add a fixed number of rows to take importing dataset from Hub (#5597) # Description I have added a number of row to take importing a dataset from the hub. Specifically 500K rows. This can help us to avoid importing really big datasets with millions of rows into Argilla. Refs https://github.com/argilla-io/roadmap/issues/21 **Type of change** - New feature (non-breaking change which adds functionality) **How Has This Been Tested** - [ ] Manually tested importing a dataset with a big number of records (> 500K) **Checklist** - I added relevant documentation - I followed the style guidelines of this project - I did a self-review of my code - I made corresponding changes to the documentation - I confirm My changes generate no new warnings - I have added tests that prove my fix is effective or that my feature works - I have added relevant notes to the CHANGELOG.md file (See https://keepachangelog.com/) --------- Co-authored-by: Paco Aranda --- argilla-server/src/argilla_server/jobs/hub_jobs.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/argilla-server/src/argilla_server/jobs/hub_jobs.py b/argilla-server/src/argilla_server/jobs/hub_jobs.py index 60c915f524..0315435b24 100644 --- a/argilla-server/src/argilla_server/jobs/hub_jobs.py +++ b/argilla-server/src/argilla_server/jobs/hub_jobs.py @@ -29,6 +29,8 @@ # TODO: Move this to be defined on jobs queues as a shared constant JOB_TIMEOUT_DISABLED = -1 +HUB_DATASET_TAKE_ROWS = 10_000 + # TODO: Once we merge webhooks we should change the queue to use a different one (default queue is deleted there) @job(DEFAULT_QUEUE, timeout=JOB_TIMEOUT_DISABLED, retry=Retry(max=3)) @@ -47,4 +49,8 @@ async def import_dataset_from_hub_job(name: str, subset: str, split: str, datase async with SearchEngine.get_by_name(settings.search_engine) as search_engine: parsed_mapping = HubDatasetMapping.parse_obj(mapping) - await HubDataset(name, subset, split, parsed_mapping).import_to(db, search_engine, dataset) + await ( + HubDataset(name, subset, split, parsed_mapping) + .take(HUB_DATASET_TAKE_ROWS) + .import_to(db, search_engine, dataset) + ) From 08ebe28226ac99d288d91284b8fd0bc1f322cb00 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Fri, 18 Oct 2024 12:55:08 +0200 Subject: [PATCH 14/16] feat: add support for class labels and casting rows (#5601) # Description This PR adds the following features: * Add support to dataset `ClassLabel` features casting them using `int2str` so we store string values on the Argilla imported dataset. * Now the casting is done at the row level and discarding keys that are not part of the mapping sources. Once the values arrive to the different record create values these are already casted. * We are casting `ClassLabel` features to string and `Image` features to data-url strings. Refs https://github.com/argilla-io/roadmap/issues/21 **Type of change** - New feature (non-breaking change which adds functionality) **How Has This Been Tested** - [x] Adding additional tests import real datasets from HF. **Checklist** - I added relevant documentation - I followed the style guidelines of this project - I did a self-review of my code - I made corresponding changes to the documentation - I confirm My changes generate no new warnings - I have added tests that prove my fix is effective or that my feature works - I have added relevant notes to the CHANGELOG.md file (See https://keepachangelog.com/) --- .../argilla_server/api/schemas/v1/datasets.py | 9 +++ .../src/argilla_server/contexts/hub.py | 58 +++++++++----- .../unit/contexts/hub/test_hub_dataset.py | 76 ++++++++++++++++++- 3 files changed, 123 insertions(+), 20 deletions(-) diff --git a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py index d2b28046ce..60272dc331 100644 --- a/argilla-server/src/argilla_server/api/schemas/v1/datasets.py +++ b/argilla-server/src/argilla_server/api/schemas/v1/datasets.py @@ -168,6 +168,15 @@ class HubDatasetMapping(BaseModel): suggestions: Optional[List[HubDatasetMappingItem]] = [] external_id: Optional[str] = None + @property + def sources(self) -> List[str]: + fields_sources = [field.source for field in self.fields] + metadata_sources = [metadata.source for metadata in self.metadata] + suggestions_sources = [suggestion.source for suggestion in self.suggestions] + external_id_source = [self.external_id] if self.external_id else [] + + return list(set(fields_sources + metadata_sources + suggestions_sources + external_id_source)) + class HubDataset(BaseModel): name: str diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index 197c4b5dac..e9e64fba91 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -22,7 +22,6 @@ from datasets import load_dataset from sqlalchemy.ext.asyncio import AsyncSession - from argilla_server.models.database import Dataset from argilla_server.search_engine import SearchEngine from argilla_server.bulk.records_bulk import UpsertRecordsBulk @@ -34,13 +33,21 @@ BATCH_SIZE = 100 RESET_ROW_IDX = -1 +FEATURE_TYPE_IMAGE = "Image" +FEATURE_TYPE_CLASS_LABEL = "ClassLabel" + class HubDataset: def __init__(self, name: str, subset: str, split: str, mapping: HubDatasetMapping): self.dataset = load_dataset(path=name, name=subset, split=split, streaming=True) self.mapping = mapping + self.mapping_feature_names = mapping.sources self.row_idx = RESET_ROW_IDX + @property + def features(self) -> dict: + return self.dataset.features + def take(self, n: int) -> Self: self.dataset = self.dataset.take(n) @@ -71,7 +78,7 @@ async def _import_batch_to( items = [] for i in range(batch_size): - items.append(self._batch_row_to_record_schema(batch, i, dataset)) + items.append(self._row_to_record_schema(self._batch_index_to_row(batch, i), dataset)) await UpsertRecordsBulk(db, search_engine).upsert_records_bulk( dataset, @@ -79,27 +86,45 @@ async def _import_batch_to( raise_on_error=False, ) - def _batch_row_to_record_schema(self, batch: dict, index: int, dataset: Dataset) -> RecordUpsertSchema: + def _batch_index_to_row(self, batch: dict, index: int) -> dict: + row = {} + for feature_name, values in batch.items(): + if not feature_name in self.mapping_feature_names: + continue + + value = values[index] + feature = self.features[feature_name] + + if feature._type == FEATURE_TYPE_CLASS_LABEL: + row[feature_name] = feature.int2str(value) + elif feature._type == FEATURE_TYPE_IMAGE and isinstance(value, Image.Image): + row[feature_name] = pil_image_to_data_url(value) + else: + row[feature_name] = value + + return row + + def _row_to_record_schema(self, row: dict, dataset: Dataset) -> RecordUpsertSchema: return RecordUpsertSchema( id=None, - external_id=self._batch_row_external_id(batch, index), - fields=self._batch_row_fields(batch, index, dataset), - metadata=self._batch_row_metadata(batch, index, dataset), - suggestions=self._batch_row_suggestions(batch, index, dataset), + external_id=self._row_external_id(row), + fields=self._row_fields(row, dataset), + metadata=self._row_metadata(row, dataset), + suggestions=self._row_suggestions(row, dataset), responses=None, vectors=None, ) - def _batch_row_external_id(self, batch: dict, index: int) -> str: + def _row_external_id(self, row: dict) -> str: if not self.mapping.external_id: return str(self._next_row_idx()) - return batch[self.mapping.external_id][index] + return row[self.mapping.external_id] - def _batch_row_fields(self, batch: dict, index: int, dataset: Dataset) -> dict: + def _row_fields(self, row: dict, dataset: Dataset) -> dict: fields = {} for mapping_field in self.mapping.fields: - value = batch[mapping_field.source][index] + value = row[mapping_field.source] field = dataset.field_by_name(mapping_field.target) if not field: continue @@ -107,17 +132,14 @@ def _batch_row_fields(self, batch: dict, index: int, dataset: Dataset) -> dict: if field.is_text and value is not None: value = str(value) - if field.is_image and isinstance(value, Image.Image): - value = pil_image_to_data_url(value) - fields[field.name] = value return fields - def _batch_row_metadata(self, batch: dict, index: int, dataset: Dataset) -> dict: + def _row_metadata(self, row: dict, dataset: Dataset) -> dict: metadata = {} for mapping_metadata in self.mapping.metadata: - value = batch[mapping_metadata.source][index] + value = row[mapping_metadata.source] metadata_property = dataset.metadata_property_by_name(mapping_metadata.target) if not metadata_property: continue @@ -126,10 +148,10 @@ def _batch_row_metadata(self, batch: dict, index: int, dataset: Dataset) -> dict return metadata - def _batch_row_suggestions(self, batch: dict, index: int, dataset: Dataset) -> list: + def _row_suggestions(self, row: dict, dataset: Dataset) -> list: suggestions = [] for mapping_suggestion in self.mapping.suggestions: - value = batch[mapping_suggestion.source][index] + value = row[mapping_suggestion.source] question = dataset.question_by_name(mapping_suggestion.target) if not question: continue diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index ea77ca23b2..c3b4e930c7 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -27,7 +27,7 @@ from tests.factories import ( DatasetFactory, ImageFieldFactory, - RatingQuestionFactory, + QuestionFactory, TextFieldFactory, IntegerMetadataPropertyFactory, ) @@ -86,7 +86,7 @@ async def test_hub_dataset_import_to_with_suggestions(self, db: AsyncSession, mo await TextFieldFactory.create(name="package_name", required=True, dataset=dataset) await TextFieldFactory.create(name="review", required=True, dataset=dataset) - question = await RatingQuestionFactory.create( + question = await QuestionFactory.create( name="star", required=True, dataset=dataset, @@ -127,6 +127,78 @@ async def test_hub_dataset_import_to_with_suggestions(self, db: AsyncSession, mo assert record.suggestions[0].value == 4 assert record.suggestions[0].question_id == question.id + async def test_hub_dataset_import_to_with_class_label_suggestions( + self, db: AsyncSession, mock_search_engine: SearchEngine + ): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="text", required=True, dataset=dataset) + + question = await QuestionFactory.create( + name="label", + settings={ + "type": QuestionType.label_selection, + "options": [ + {"value": "neg", "text": "Negative"}, + {"value": "pos", "text": "Positive"}, + ], + }, + dataset=dataset, + ) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset( + name="stanfordnlp/imdb", + subset="plain_text", + split="train", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="text", target="text"), + ], + suggestions=[ + HubDatasetMappingItem(source="label", target="label"), + ], + ), + ) + + await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) + + record = (await db.execute(select(Record))).scalar_one() + assert record.suggestions[0].value == "neg" + assert record.suggestions[0].question_id == question.id + + async def test_hub_dataset_import_to_with_class_label_fields( + self, db: AsyncSession, mock_search_engine: SearchEngine + ): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="text", required=True, dataset=dataset) + await TextFieldFactory.create(name="label", required=True, dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset( + name="stanfordnlp/imdb", + subset="plain_text", + split="train", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="text", target="text"), + HubDatasetMappingItem(source="label", target="label"), + ], + ), + ) + + await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) + + record = (await db.execute(select(Record))).scalar_one() + assert record.fields["label"] == "neg" + async def test_hub_dataset_import_to_with_image_fields(self, db: AsyncSession, mock_search_engine: SearchEngine): dataset = await DatasetFactory.create(status=DatasetStatus.ready) From 312551a343361e232ab0fa2270ace59940c6d57f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Fri, 18 Oct 2024 12:56:45 +0200 Subject: [PATCH 15/16] feat: improve `HubDataset` image processing support (#5606) # Description This PR adds the following changes related to how `HubDataset` import functionality process rows with images: * If the image has not format we transform the image to `png`. * We convert images to `RGB` color space to avoid problems with other unsupported color spaces. Refs https://github.com/argilla-io/roadmap/issues/21 **Type of change** - New feature (non-breaking change which adds functionality) **How Has This Been Tested** - [x] Manually testing `microsoft/cats_vs_dogs` dataset. **Checklist** - I added relevant documentation - I followed the style guidelines of this project - I did a self-review of my code - I made corresponding changes to the documentation - I confirm My changes generate no new warnings - I have added tests that prove my fix is effective or that my feature works - I have added relevant notes to the CHANGELOG.md file (See https://keepachangelog.com/) --- argilla-server/src/argilla_server/contexts/hub.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index e9e64fba91..31faf5cf82 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -36,6 +36,9 @@ FEATURE_TYPE_IMAGE = "Image" FEATURE_TYPE_CLASS_LABEL = "ClassLabel" +DATA_URL_DEFAULT_IMAGE_FORMAT = "png" +DATA_URL_DEFAULT_IMAGE_MIMETYPE = "image/png" + class HubDataset: def __init__(self, name: str, subset: str, split: str, mapping: HubDatasetMapping): @@ -178,8 +181,11 @@ def _row_suggestions(self, row: dict, dataset: Dataset) -> list: def pil_image_to_data_url(image: Image.Image): buffer = io.BytesIO() - image.save(buffer, format=image.format) + image_format = image.format or DATA_URL_DEFAULT_IMAGE_FORMAT + image_mimetype = image.get_format_mimetype() if image.format else DATA_URL_DEFAULT_IMAGE_MIMETYPE + + image.convert("RGB").save(buffer, format=image_format) base64_image = base64.b64encode(buffer.getvalue()).decode("utf-8") - return f"data:{image.get_format_mimetype()};base64,{base64_image}" + return f"data:{image_mimetype};base64,{base64_image}" From f06426701f98ca097fa4490b93988352ed056e4c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jos=C3=A9=20Francisco=20Calvo?= Date: Fri, 18 Oct 2024 13:03:19 +0200 Subject: [PATCH 16/16] feat: add support to `-1` no label values for `ClassLabel` dataset features (#5607) # Description This PR adds the following changes: * Add support to `ClassLabel` features using `-1` (no label) values and casting these values to be `None`. * Now when importing `fields`, `metadata`, or `suggestions` and the value is `None` they will be ignored. Refs https://github.com/argilla-io/roadmap/issues/21 **Type of change** - New feature (non-breaking change which adds functionality) **How Has This Been Tested** - [x] Adding new tests and modifying existing ones. **Checklist** - I added relevant documentation - I followed the style guidelines of this project - I did a self-review of my code - I made corresponding changes to the documentation - I confirm My changes generate no new warnings - I have added tests that prove my fix is effective or that my feature works - I have added relevant notes to the CHANGELOG.md file (See https://keepachangelog.com/) --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> --- .../src/argilla_server/contexts/hub.py | 13 +++- .../unit/contexts/hub/test_hub_dataset.py | 73 ++++++++++++++++++- 2 files changed, 81 insertions(+), 5 deletions(-) diff --git a/argilla-server/src/argilla_server/contexts/hub.py b/argilla-server/src/argilla_server/contexts/hub.py index 31faf5cf82..27bd1b8f5f 100644 --- a/argilla-server/src/argilla_server/contexts/hub.py +++ b/argilla-server/src/argilla_server/contexts/hub.py @@ -36,6 +36,8 @@ FEATURE_TYPE_IMAGE = "Image" FEATURE_TYPE_CLASS_LABEL = "ClassLabel" +FEATURE_CLASS_LABEL_NO_LABEL = -1 + DATA_URL_DEFAULT_IMAGE_FORMAT = "png" DATA_URL_DEFAULT_IMAGE_MIMETYPE = "image/png" @@ -99,7 +101,10 @@ def _batch_index_to_row(self, batch: dict, index: int) -> dict: feature = self.features[feature_name] if feature._type == FEATURE_TYPE_CLASS_LABEL: - row[feature_name] = feature.int2str(value) + if value == FEATURE_CLASS_LABEL_NO_LABEL: + row[feature_name] = None + else: + row[feature_name] = feature.int2str(value) elif feature._type == FEATURE_TYPE_IMAGE and isinstance(value, Image.Image): row[feature_name] = pil_image_to_data_url(value) else: @@ -129,7 +134,7 @@ def _row_fields(self, row: dict, dataset: Dataset) -> dict: for mapping_field in self.mapping.fields: value = row[mapping_field.source] field = dataset.field_by_name(mapping_field.target) - if not field: + if value is None or not field: continue if field.is_text and value is not None: @@ -144,7 +149,7 @@ def _row_metadata(self, row: dict, dataset: Dataset) -> dict: for mapping_metadata in self.mapping.metadata: value = row[mapping_metadata.source] metadata_property = dataset.metadata_property_by_name(mapping_metadata.target) - if not metadata_property: + if value is None or not metadata_property: continue metadata[metadata_property.name] = value @@ -156,7 +161,7 @@ def _row_suggestions(self, row: dict, dataset: Dataset) -> list: for mapping_suggestion in self.mapping.suggestions: value = row[mapping_suggestion.source] question = dataset.question_by_name(mapping_suggestion.target) - if not question: + if value is None or not question: continue if question.is_text or question.is_label_selection: diff --git a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py index c3b4e930c7..4adfceeefd 100644 --- a/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py +++ b/argilla-server/tests/unit/contexts/hub/test_hub_dataset.py @@ -199,6 +199,77 @@ async def test_hub_dataset_import_to_with_class_label_fields( record = (await db.execute(select(Record))).scalar_one() assert record.fields["label"] == "neg" + async def test_hub_dataset_import_to_with_class_label_suggestions_using_no_label( + self, db: AsyncSession, mock_search_engine: SearchEngine + ): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="text", required=True, dataset=dataset) + + question = await QuestionFactory.create( + name="label", + settings={ + "type": QuestionType.label_selection, + "options": [ + {"value": "neg", "text": "Negative"}, + {"value": "pos", "text": "Positive"}, + ], + }, + dataset=dataset, + ) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset( + name="stanfordnlp/imdb", + subset="plain_text", + split="unsupervised", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="text", target="text"), + ], + suggestions=[ + HubDatasetMappingItem(source="label", target="label"), + ], + ), + ) + + await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) + + record = (await db.execute(select(Record))).scalar_one() + assert record.suggestions == [] + + async def test_hub_dataset_import_to_with_class_label_fields_using_no_label( + self, db: AsyncSession, mock_search_engine: SearchEngine + ): + dataset = await DatasetFactory.create(status=DatasetStatus.ready) + + await TextFieldFactory.create(name="text", required=True, dataset=dataset) + await TextFieldFactory.create(name="label", dataset=dataset) + + await dataset.awaitable_attrs.fields + await dataset.awaitable_attrs.questions + await dataset.awaitable_attrs.metadata_properties + + hub_dataset = HubDataset( + name="stanfordnlp/imdb", + subset="plain_text", + split="unsupervised", + mapping=HubDatasetMapping( + fields=[ + HubDatasetMappingItem(source="text", target="text"), + HubDatasetMappingItem(source="label", target="label"), + ], + ), + ) + + await hub_dataset.take(1).import_to(db, mock_search_engine, dataset) + + record = (await db.execute(select(Record))).scalar_one() + assert "label" not in record.fields + async def test_hub_dataset_import_to_with_image_fields(self, db: AsyncSession, mock_search_engine: SearchEngine): dataset = await DatasetFactory.create(status=DatasetStatus.ready) @@ -261,7 +332,7 @@ async def test_hub_dataset_import_to_with_invalid_rows(self, db: AsyncSession, m assert records[1].external_id == "2.0" assert records[1].fields == {"letter": "B", "count": "200.0"} assert records[2].external_id == "4.0" - assert records[2].fields == {"letter": "D", "count": None} + assert records[2].fields == {"letter": "D"} assert records[3].external_id == "5.0" assert records[3].fields == {"letter": "E", "count": "500.0"}