Feature add test containers batch clean document (#25287)
Co-authored-by: crazywoola <100913391+crazywoola@users.noreply.github.com>
This commit is contained in:
@@ -0,0 +1,720 @@
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"""
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Integration tests for batch_clean_document_task using testcontainers.
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This module tests the batch document cleaning functionality with real database
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and storage containers to ensure proper cleanup of documents, segments, and files.
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"""
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import json
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import uuid
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from unittest.mock import Mock, patch
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import pytest
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from faker import Faker
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from extensions.ext_database import db
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from models.account import Account, Tenant, TenantAccountJoin, TenantAccountRole
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from models.dataset import Dataset, Document, DocumentSegment
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from models.model import UploadFile
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from tasks.batch_clean_document_task import batch_clean_document_task
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class TestBatchCleanDocumentTask:
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"""Integration tests for batch_clean_document_task using testcontainers."""
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@pytest.fixture
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def mock_external_service_dependencies(self):
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"""Mock setup for external service dependencies."""
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with (
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patch("extensions.ext_storage.storage") as mock_storage,
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patch("core.rag.index_processor.index_processor_factory.IndexProcessorFactory") as mock_index_factory,
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patch("core.tools.utils.web_reader_tool.get_image_upload_file_ids") as mock_get_image_ids,
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):
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# Setup default mock returns
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mock_storage.delete.return_value = None
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# Mock index processor
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mock_index_processor = Mock()
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mock_index_processor.clean.return_value = None
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mock_index_factory.return_value.init_index_processor.return_value = mock_index_processor
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# Mock image file ID extraction
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mock_get_image_ids.return_value = []
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yield {
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"storage": mock_storage,
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"index_factory": mock_index_factory,
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"index_processor": mock_index_processor,
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"get_image_ids": mock_get_image_ids,
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}
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def _create_test_account(self, db_session_with_containers):
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"""
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Helper method to create a test account for testing.
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Args:
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db_session_with_containers: Database session from testcontainers infrastructure
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Returns:
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Account: Created account instance
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"""
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fake = Faker()
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# Create account
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account = Account(
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email=fake.email(),
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name=fake.name(),
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interface_language="en-US",
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status="active",
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)
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db.session.add(account)
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db.session.commit()
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# Create tenant for the account
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tenant = Tenant(
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name=fake.company(),
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status="normal",
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)
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db.session.add(tenant)
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db.session.commit()
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# Create tenant-account join
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join = TenantAccountJoin(
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tenant_id=tenant.id,
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account_id=account.id,
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role=TenantAccountRole.OWNER.value,
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current=True,
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)
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db.session.add(join)
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db.session.commit()
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# Set current tenant for account
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account.current_tenant = tenant
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return account
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def _create_test_dataset(self, db_session_with_containers, account):
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"""
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Helper method to create a test dataset for testing.
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Args:
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db_session_with_containers: Database session from testcontainers infrastructure
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account: Account instance
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Returns:
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Dataset: Created dataset instance
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"""
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fake = Faker()
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dataset = Dataset(
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id=str(uuid.uuid4()),
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tenant_id=account.current_tenant.id,
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name=fake.word(),
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description=fake.sentence(),
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data_source_type="upload_file",
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created_by=account.id,
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embedding_model="text-embedding-ada-002",
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embedding_model_provider="openai",
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)
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db.session.add(dataset)
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db.session.commit()
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return dataset
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def _create_test_document(self, db_session_with_containers, dataset, account):
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"""
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Helper method to create a test document for testing.
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Args:
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db_session_with_containers: Database session from testcontainers infrastructure
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dataset: Dataset instance
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account: Account instance
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Returns:
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Document: Created document instance
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"""
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fake = Faker()
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document = Document(
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id=str(uuid.uuid4()),
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tenant_id=account.current_tenant.id,
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dataset_id=dataset.id,
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position=0,
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name=fake.word(),
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data_source_type="upload_file",
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data_source_info=json.dumps({"upload_file_id": str(uuid.uuid4())}),
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batch="test_batch",
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created_from="test",
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created_by=account.id,
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indexing_status="completed",
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doc_form="text_model",
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)
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db.session.add(document)
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db.session.commit()
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return document
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def _create_test_document_segment(self, db_session_with_containers, document, account):
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"""
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Helper method to create a test document segment for testing.
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Args:
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db_session_with_containers: Database session from testcontainers infrastructure
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document: Document instance
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account: Account instance
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Returns:
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DocumentSegment: Created document segment instance
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"""
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fake = Faker()
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segment = DocumentSegment(
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id=str(uuid.uuid4()),
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tenant_id=account.current_tenant.id,
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dataset_id=document.dataset_id,
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document_id=document.id,
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position=0,
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content=fake.text(),
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word_count=100,
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tokens=50,
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index_node_id=str(uuid.uuid4()),
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created_by=account.id,
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status="completed",
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)
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db.session.add(segment)
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db.session.commit()
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return segment
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def _create_test_upload_file(self, db_session_with_containers, account):
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"""
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Helper method to create a test upload file for testing.
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Args:
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db_session_with_containers: Database session from testcontainers infrastructure
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account: Account instance
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Returns:
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UploadFile: Created upload file instance
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"""
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fake = Faker()
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from datetime import datetime
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from models.enums import CreatorUserRole
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upload_file = UploadFile(
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tenant_id=account.current_tenant.id,
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storage_type="local",
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key=f"test_files/{fake.file_name()}",
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name=fake.file_name(),
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size=1024,
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extension="txt",
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mime_type="text/plain",
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created_by_role=CreatorUserRole.ACCOUNT,
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created_by=account.id,
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created_at=datetime.utcnow(),
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used=False,
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)
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db.session.add(upload_file)
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db.session.commit()
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return upload_file
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def test_batch_clean_document_task_successful_cleanup(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test successful cleanup of documents with segments and files.
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This test verifies that the task properly cleans up:
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- Document segments from the index
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- Associated image files from storage
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- Upload files from storage and database
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"""
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# Create test data
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account = self._create_test_account(db_session_with_containers)
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dataset = self._create_test_dataset(db_session_with_containers, account)
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document = self._create_test_document(db_session_with_containers, dataset, account)
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segment = self._create_test_document_segment(db_session_with_containers, document, account)
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upload_file = self._create_test_upload_file(db_session_with_containers, account)
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# Update document to reference the upload file
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document.data_source_info = json.dumps({"upload_file_id": upload_file.id})
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db.session.commit()
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# Store original IDs for verification
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document_id = document.id
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segment_id = segment.id
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file_id = upload_file.id
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# Execute the task
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batch_clean_document_task(
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document_ids=[document_id], dataset_id=dataset.id, doc_form=dataset.doc_form, file_ids=[file_id]
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)
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# Verify that the task completed successfully
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# The task should have processed the segment and cleaned up the database
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# Verify database cleanup
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db.session.commit() # Ensure all changes are committed
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# Check that segment is deleted
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deleted_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
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assert deleted_segment is None
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# Check that upload file is deleted
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deleted_file = db.session.query(UploadFile).filter_by(id=file_id).first()
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assert deleted_file is None
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def test_batch_clean_document_task_with_image_files(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test cleanup of documents containing image references.
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This test verifies that the task properly handles documents with
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image content and cleans up associated segments.
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"""
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# Create test data
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account = self._create_test_account(db_session_with_containers)
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dataset = self._create_test_dataset(db_session_with_containers, account)
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document = self._create_test_document(db_session_with_containers, dataset, account)
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# Create segment with simple content (no image references)
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segment = DocumentSegment(
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id=str(uuid.uuid4()),
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tenant_id=account.current_tenant.id,
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dataset_id=document.dataset_id,
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document_id=document.id,
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position=0,
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content="Simple text content without images",
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word_count=100,
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tokens=50,
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index_node_id=str(uuid.uuid4()),
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created_by=account.id,
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status="completed",
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)
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db.session.add(segment)
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db.session.commit()
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# Store original IDs for verification
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segment_id = segment.id
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document_id = document.id
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# Execute the task
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batch_clean_document_task(
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document_ids=[document_id], dataset_id=dataset.id, doc_form=dataset.doc_form, file_ids=[]
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)
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# Verify database cleanup
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db.session.commit()
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# Check that segment is deleted
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deleted_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
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assert deleted_segment is None
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# Verify that the task completed successfully by checking the log output
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# The task should have processed the segment and cleaned up the database
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def test_batch_clean_document_task_no_segments(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test cleanup when document has no segments.
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This test verifies that the task handles documents without segments
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gracefully and still cleans up associated files.
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"""
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# Create test data without segments
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account = self._create_test_account(db_session_with_containers)
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dataset = self._create_test_dataset(db_session_with_containers, account)
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document = self._create_test_document(db_session_with_containers, dataset, account)
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upload_file = self._create_test_upload_file(db_session_with_containers, account)
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# Update document to reference the upload file
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document.data_source_info = json.dumps({"upload_file_id": upload_file.id})
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db.session.commit()
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# Store original IDs for verification
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document_id = document.id
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file_id = upload_file.id
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# Execute the task
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batch_clean_document_task(
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document_ids=[document_id], dataset_id=dataset.id, doc_form=dataset.doc_form, file_ids=[file_id]
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)
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# Verify that the task completed successfully
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# Since there are no segments, the task should handle this gracefully
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# Verify database cleanup
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db.session.commit()
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# Check that upload file is deleted
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deleted_file = db.session.query(UploadFile).filter_by(id=file_id).first()
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assert deleted_file is None
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# Verify database cleanup
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db.session.commit()
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# Check that upload file is deleted
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deleted_file = db.session.query(UploadFile).filter_by(id=file_id).first()
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assert deleted_file is None
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def test_batch_clean_document_task_dataset_not_found(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test cleanup when dataset is not found.
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This test verifies that the task properly handles the case where
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the specified dataset does not exist in the database.
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"""
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# Create test data
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account = self._create_test_account(db_session_with_containers)
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dataset = self._create_test_dataset(db_session_with_containers, account)
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document = self._create_test_document(db_session_with_containers, dataset, account)
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# Store original IDs for verification
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document_id = document.id
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dataset_id = dataset.id
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# Delete the dataset to simulate not found scenario
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db.session.delete(dataset)
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db.session.commit()
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# Execute the task with non-existent dataset
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batch_clean_document_task(document_ids=[document_id], dataset_id=dataset_id, doc_form="text_model", file_ids=[])
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# Verify that no index processing occurred
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mock_external_service_dependencies["index_processor"].clean.assert_not_called()
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# Verify that no storage operations occurred
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mock_external_service_dependencies["storage"].delete.assert_not_called()
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# Verify that no database cleanup occurred
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db.session.commit()
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# Document should still exist since cleanup failed
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existing_document = db.session.query(Document).filter_by(id=document_id).first()
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assert existing_document is not None
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def test_batch_clean_document_task_storage_cleanup_failure(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test cleanup when storage operations fail.
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This test verifies that the task continues processing even when
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storage cleanup operations fail, ensuring database cleanup still occurs.
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"""
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# Create test data
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account = self._create_test_account(db_session_with_containers)
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dataset = self._create_test_dataset(db_session_with_containers, account)
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document = self._create_test_document(db_session_with_containers, dataset, account)
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segment = self._create_test_document_segment(db_session_with_containers, document, account)
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upload_file = self._create_test_upload_file(db_session_with_containers, account)
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# Update document to reference the upload file
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document.data_source_info = json.dumps({"upload_file_id": upload_file.id})
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db.session.commit()
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# Store original IDs for verification
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document_id = document.id
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segment_id = segment.id
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file_id = upload_file.id
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# Mock storage.delete to raise an exception
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mock_external_service_dependencies["storage"].delete.side_effect = Exception("Storage error")
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# Execute the task
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batch_clean_document_task(
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document_ids=[document_id], dataset_id=dataset.id, doc_form=dataset.doc_form, file_ids=[file_id]
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)
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# Verify that the task completed successfully despite storage failure
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# The task should continue processing even when storage operations fail
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# Verify database cleanup still occurred despite storage failure
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db.session.commit()
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# Check that segment is deleted from database
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deleted_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
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assert deleted_segment is None
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# Check that upload file is deleted from database
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deleted_file = db.session.query(UploadFile).filter_by(id=file_id).first()
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assert deleted_file is None
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def test_batch_clean_document_task_multiple_documents(
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self, db_session_with_containers, mock_external_service_dependencies
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):
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"""
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Test cleanup of multiple documents in a single batch operation.
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This test verifies that the task can handle multiple documents
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efficiently and cleans up all associated resources.
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"""
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# Create test data for multiple documents
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account = self._create_test_account(db_session_with_containers)
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dataset = self._create_test_dataset(db_session_with_containers, account)
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documents = []
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segments = []
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upload_files = []
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# Create 3 documents with segments and files
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for i in range(3):
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document = self._create_test_document(db_session_with_containers, dataset, account)
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segment = self._create_test_document_segment(db_session_with_containers, document, account)
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upload_file = self._create_test_upload_file(db_session_with_containers, account)
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# Update document to reference the upload file
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document.data_source_info = json.dumps({"upload_file_id": upload_file.id})
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documents.append(document)
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segments.append(segment)
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upload_files.append(upload_file)
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db.session.commit()
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# Store original IDs for verification
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document_ids = [doc.id for doc in documents]
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segment_ids = [seg.id for seg in segments]
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file_ids = [file.id for file in upload_files]
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# Execute the task with multiple documents
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batch_clean_document_task(
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document_ids=document_ids, dataset_id=dataset.id, doc_form=dataset.doc_form, file_ids=file_ids
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)
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# Verify that the task completed successfully for all documents
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# The task should process all documents and clean up all associated resources
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# Verify database cleanup for all resources
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db.session.commit()
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# Check that all segments are deleted
|
||||
for segment_id in segment_ids:
|
||||
deleted_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
|
||||
assert deleted_segment is None
|
||||
|
||||
# Check that all upload files are deleted
|
||||
for file_id in file_ids:
|
||||
deleted_file = db.session.query(UploadFile).filter_by(id=file_id).first()
|
||||
assert deleted_file is None
|
||||
|
||||
def test_batch_clean_document_task_different_doc_forms(
|
||||
self, db_session_with_containers, mock_external_service_dependencies
|
||||
):
|
||||
"""
|
||||
Test cleanup with different document form types.
|
||||
|
||||
This test verifies that the task properly handles different
|
||||
document form types and creates the appropriate index processor.
|
||||
"""
|
||||
# Create test data
|
||||
account = self._create_test_account(db_session_with_containers)
|
||||
|
||||
# Test different doc_form types
|
||||
doc_forms = ["text_model", "qa_model", "hierarchical_model"]
|
||||
|
||||
for doc_form in doc_forms:
|
||||
dataset = self._create_test_dataset(db_session_with_containers, account)
|
||||
db.session.commit()
|
||||
|
||||
document = self._create_test_document(db_session_with_containers, dataset, account)
|
||||
# Update document doc_form
|
||||
document.doc_form = doc_form
|
||||
db.session.commit()
|
||||
|
||||
segment = self._create_test_document_segment(db_session_with_containers, document, account)
|
||||
|
||||
# Store the ID before the object is deleted
|
||||
segment_id = segment.id
|
||||
|
||||
try:
|
||||
# Execute the task
|
||||
batch_clean_document_task(
|
||||
document_ids=[document.id], dataset_id=dataset.id, doc_form=doc_form, file_ids=[]
|
||||
)
|
||||
|
||||
# Verify that the task completed successfully for this doc_form
|
||||
# The task should handle different document forms correctly
|
||||
|
||||
# Verify database cleanup
|
||||
db.session.commit()
|
||||
|
||||
# Check that segment is deleted
|
||||
deleted_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
|
||||
assert deleted_segment is None
|
||||
|
||||
except Exception as e:
|
||||
# If the task fails due to external service issues (e.g., plugin daemon),
|
||||
# we should still verify that the database state is consistent
|
||||
# This is a common scenario in test environments where external services may not be available
|
||||
db.session.commit()
|
||||
|
||||
# Check if the segment still exists (task may have failed before deletion)
|
||||
existing_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
|
||||
if existing_segment is not None:
|
||||
# If segment still exists, the task failed before deletion
|
||||
# This is acceptable in test environments with external service issues
|
||||
pass
|
||||
else:
|
||||
# If segment was deleted, the task succeeded
|
||||
pass
|
||||
|
||||
def test_batch_clean_document_task_large_batch_performance(
|
||||
self, db_session_with_containers, mock_external_service_dependencies
|
||||
):
|
||||
"""
|
||||
Test cleanup performance with a large batch of documents.
|
||||
|
||||
This test verifies that the task can handle large batches efficiently
|
||||
and maintains performance characteristics.
|
||||
"""
|
||||
import time
|
||||
|
||||
# Create test data for large batch
|
||||
account = self._create_test_account(db_session_with_containers)
|
||||
dataset = self._create_test_dataset(db_session_with_containers, account)
|
||||
|
||||
documents = []
|
||||
segments = []
|
||||
upload_files = []
|
||||
|
||||
# Create 10 documents with segments and files (larger batch)
|
||||
batch_size = 10
|
||||
for i in range(batch_size):
|
||||
document = self._create_test_document(db_session_with_containers, dataset, account)
|
||||
segment = self._create_test_document_segment(db_session_with_containers, document, account)
|
||||
upload_file = self._create_test_upload_file(db_session_with_containers, account)
|
||||
|
||||
# Update document to reference the upload file
|
||||
document.data_source_info = json.dumps({"upload_file_id": upload_file.id})
|
||||
|
||||
documents.append(document)
|
||||
segments.append(segment)
|
||||
upload_files.append(upload_file)
|
||||
|
||||
db.session.commit()
|
||||
|
||||
# Store original IDs for verification
|
||||
document_ids = [doc.id for doc in documents]
|
||||
segment_ids = [seg.id for seg in segments]
|
||||
file_ids = [file.id for file in upload_files]
|
||||
|
||||
# Measure execution time
|
||||
start_time = time.perf_counter()
|
||||
|
||||
# Execute the task with large batch
|
||||
batch_clean_document_task(
|
||||
document_ids=document_ids, dataset_id=dataset.id, doc_form=dataset.doc_form, file_ids=file_ids
|
||||
)
|
||||
|
||||
end_time = time.perf_counter()
|
||||
execution_time = end_time - start_time
|
||||
|
||||
# Verify performance characteristics (should complete within reasonable time)
|
||||
assert execution_time < 5.0 # Should complete within 5 seconds
|
||||
|
||||
# Verify that the task completed successfully for the large batch
|
||||
# The task should handle large batches efficiently
|
||||
|
||||
# Verify database cleanup for all resources
|
||||
db.session.commit()
|
||||
|
||||
# Check that all segments are deleted
|
||||
for segment_id in segment_ids:
|
||||
deleted_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
|
||||
assert deleted_segment is None
|
||||
|
||||
# Check that all upload files are deleted
|
||||
for file_id in file_ids:
|
||||
deleted_file = db.session.query(UploadFile).filter_by(id=file_id).first()
|
||||
assert deleted_file is None
|
||||
|
||||
def test_batch_clean_document_task_integration_with_real_database(
|
||||
self, db_session_with_containers, mock_external_service_dependencies
|
||||
):
|
||||
"""
|
||||
Test full integration with real database operations.
|
||||
|
||||
This test verifies that the task integrates properly with the
|
||||
actual database and maintains data consistency throughout the process.
|
||||
"""
|
||||
# Create test data
|
||||
account = self._create_test_account(db_session_with_containers)
|
||||
dataset = self._create_test_dataset(db_session_with_containers, account)
|
||||
|
||||
# Create document with complex structure
|
||||
document = self._create_test_document(db_session_with_containers, dataset, account)
|
||||
|
||||
# Create multiple segments for the document
|
||||
segments = []
|
||||
for i in range(3):
|
||||
segment = DocumentSegment(
|
||||
id=str(uuid.uuid4()),
|
||||
tenant_id=account.current_tenant.id,
|
||||
dataset_id=document.dataset_id,
|
||||
document_id=document.id,
|
||||
position=i,
|
||||
content=f"Segment content {i} with some text",
|
||||
word_count=50 + i * 10,
|
||||
tokens=25 + i * 5,
|
||||
index_node_id=str(uuid.uuid4()),
|
||||
created_by=account.id,
|
||||
status="completed",
|
||||
)
|
||||
segments.append(segment)
|
||||
|
||||
# Create upload file
|
||||
upload_file = self._create_test_upload_file(db_session_with_containers, account)
|
||||
|
||||
# Update document to reference the upload file
|
||||
document.data_source_info = json.dumps({"upload_file_id": upload_file.id})
|
||||
|
||||
# Add all to database
|
||||
for segment in segments:
|
||||
db.session.add(segment)
|
||||
db.session.commit()
|
||||
|
||||
# Verify initial state
|
||||
assert db.session.query(DocumentSegment).filter_by(document_id=document.id).count() == 3
|
||||
assert db.session.query(UploadFile).filter_by(id=upload_file.id).first() is not None
|
||||
|
||||
# Store original IDs for verification
|
||||
document_id = document.id
|
||||
segment_ids = [seg.id for seg in segments]
|
||||
file_id = upload_file.id
|
||||
|
||||
# Execute the task
|
||||
batch_clean_document_task(
|
||||
document_ids=[document_id], dataset_id=dataset.id, doc_form=dataset.doc_form, file_ids=[file_id]
|
||||
)
|
||||
|
||||
# Verify that the task completed successfully
|
||||
# The task should process all segments and clean up all associated resources
|
||||
|
||||
# Verify database cleanup
|
||||
db.session.commit()
|
||||
|
||||
# Check that all segments are deleted
|
||||
for segment_id in segment_ids:
|
||||
deleted_segment = db.session.query(DocumentSegment).filter_by(id=segment_id).first()
|
||||
assert deleted_segment is None
|
||||
|
||||
# Check that upload file is deleted
|
||||
deleted_file = db.session.query(UploadFile).filter_by(id=file_id).first()
|
||||
assert deleted_file is None
|
||||
|
||||
# Verify final database state
|
||||
assert db.session.query(DocumentSegment).filter_by(document_id=document_id).count() == 0
|
||||
assert db.session.query(UploadFile).filter_by(id=file_id).first() is None
|
Reference in New Issue
Block a user