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refactor: document_indexing_sync_task split db session (#32129)
Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
@ -23,40 +23,40 @@ def clean_notion_document_task(document_ids: list[str], dataset_id: str):
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"""
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logger.info(click.style(f"Start clean document when import form notion document deleted: {dataset_id}", fg="green"))
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start_at = time.perf_counter()
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total_index_node_ids = []
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with session_factory.create_session() as session:
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try:
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dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
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dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
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if not dataset:
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raise Exception("Document has no dataset")
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index_type = dataset.doc_form
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index_processor = IndexProcessorFactory(index_type).init_index_processor()
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if not dataset:
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raise Exception("Document has no dataset")
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index_type = dataset.doc_form
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index_processor = IndexProcessorFactory(index_type).init_index_processor()
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document_delete_stmt = delete(Document).where(Document.id.in_(document_ids))
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session.execute(document_delete_stmt)
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document_delete_stmt = delete(Document).where(Document.id.in_(document_ids))
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session.execute(document_delete_stmt)
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for document_id in document_ids:
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segments = session.scalars(
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select(DocumentSegment).where(DocumentSegment.document_id == document_id)
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).all()
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index_node_ids = [segment.index_node_id for segment in segments]
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for document_id in document_ids:
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segments = session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
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total_index_node_ids.extend([segment.index_node_id for segment in segments])
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index_processor.clean(
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dataset, index_node_ids, with_keywords=True, delete_child_chunks=True, delete_summaries=True
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)
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segment_ids = [segment.id for segment in segments]
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segment_delete_stmt = delete(DocumentSegment).where(DocumentSegment.id.in_(segment_ids))
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session.execute(segment_delete_stmt)
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session.commit()
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end_at = time.perf_counter()
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logger.info(
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click.style(
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"Clean document when import form notion document deleted end :: {} latency: {}".format(
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dataset_id, end_at - start_at
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),
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fg="green",
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)
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with session_factory.create_session() as session:
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dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
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if dataset:
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index_processor.clean(
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dataset, total_index_node_ids, with_keywords=True, delete_child_chunks=True, delete_summaries=True
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)
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except Exception:
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logger.exception("Cleaned document when import form notion document deleted failed")
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with session_factory.create_session() as session, session.begin():
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segment_delete_stmt = delete(DocumentSegment).where(DocumentSegment.document_id.in_(document_ids))
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session.execute(segment_delete_stmt)
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end_at = time.perf_counter()
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logger.info(
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click.style(
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"Clean document when import form notion document deleted end :: {} latency: {}".format(
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dataset_id, end_at - start_at
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),
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fg="green",
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)
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)
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@ -27,6 +27,7 @@ def document_indexing_sync_task(dataset_id: str, document_id: str):
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"""
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logger.info(click.style(f"Start sync document: {document_id}", fg="green"))
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start_at = time.perf_counter()
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tenant_id = None
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with session_factory.create_session() as session, session.begin():
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document = session.query(Document).where(Document.id == document_id, Document.dataset_id == dataset_id).first()
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@ -35,94 +36,120 @@ def document_indexing_sync_task(dataset_id: str, document_id: str):
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logger.info(click.style(f"Document not found: {document_id}", fg="red"))
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return
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if document.indexing_status == "parsing":
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logger.info(click.style(f"Document {document_id} is already being processed, skipping", fg="yellow"))
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return
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dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
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if not dataset:
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raise Exception("Dataset not found")
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data_source_info = document.data_source_info_dict
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if document.data_source_type == "notion_import":
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if (
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not data_source_info
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or "notion_page_id" not in data_source_info
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or "notion_workspace_id" not in data_source_info
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):
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raise ValueError("no notion page found")
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workspace_id = data_source_info["notion_workspace_id"]
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page_id = data_source_info["notion_page_id"]
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page_type = data_source_info["type"]
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page_edited_time = data_source_info["last_edited_time"]
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credential_id = data_source_info.get("credential_id")
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if document.data_source_type != "notion_import":
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logger.info(click.style(f"Document {document_id} is not a notion_import, skipping", fg="yellow"))
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return
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# Get credentials from datasource provider
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datasource_provider_service = DatasourceProviderService()
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credential = datasource_provider_service.get_datasource_credentials(
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tenant_id=document.tenant_id,
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credential_id=credential_id,
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provider="notion_datasource",
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plugin_id="langgenius/notion_datasource",
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)
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if (
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not data_source_info
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or "notion_page_id" not in data_source_info
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or "notion_workspace_id" not in data_source_info
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):
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raise ValueError("no notion page found")
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if not credential:
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logger.error(
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"Datasource credential not found for document %s, tenant_id: %s, credential_id: %s",
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document_id,
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document.tenant_id,
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credential_id,
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)
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workspace_id = data_source_info["notion_workspace_id"]
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page_id = data_source_info["notion_page_id"]
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page_type = data_source_info["type"]
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page_edited_time = data_source_info["last_edited_time"]
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credential_id = data_source_info.get("credential_id")
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tenant_id = document.tenant_id
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index_type = document.doc_form
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segments = session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
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index_node_ids = [segment.index_node_id for segment in segments]
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# Get credentials from datasource provider
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datasource_provider_service = DatasourceProviderService()
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credential = datasource_provider_service.get_datasource_credentials(
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tenant_id=tenant_id,
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credential_id=credential_id,
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provider="notion_datasource",
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plugin_id="langgenius/notion_datasource",
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)
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if not credential:
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logger.error(
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"Datasource credential not found for document %s, tenant_id: %s, credential_id: %s",
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document_id,
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tenant_id,
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credential_id,
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)
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with session_factory.create_session() as session, session.begin():
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document = session.query(Document).filter_by(id=document_id).first()
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if document:
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document.indexing_status = "error"
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document.error = "Datasource credential not found. Please reconnect your Notion workspace."
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document.stopped_at = naive_utc_now()
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return
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return
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loader = NotionExtractor(
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notion_workspace_id=workspace_id,
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notion_obj_id=page_id,
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notion_page_type=page_type,
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notion_access_token=credential.get("integration_secret"),
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tenant_id=document.tenant_id,
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)
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loader = NotionExtractor(
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notion_workspace_id=workspace_id,
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notion_obj_id=page_id,
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notion_page_type=page_type,
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notion_access_token=credential.get("integration_secret"),
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tenant_id=tenant_id,
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)
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last_edited_time = loader.get_notion_last_edited_time()
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last_edited_time = loader.get_notion_last_edited_time()
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if last_edited_time == page_edited_time:
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logger.info(click.style(f"Document {document_id} content unchanged, skipping sync", fg="yellow"))
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return
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# check the page is updated
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if last_edited_time != page_edited_time:
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document.indexing_status = "parsing"
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document.processing_started_at = naive_utc_now()
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logger.info(click.style(f"Document {document_id} content changed, starting sync", fg="green"))
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# delete all document segment and index
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try:
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dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
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if not dataset:
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raise Exception("Dataset not found")
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index_type = document.doc_form
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index_processor = IndexProcessorFactory(index_type).init_index_processor()
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try:
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index_processor = IndexProcessorFactory(index_type).init_index_processor()
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with session_factory.create_session() as session:
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dataset = session.query(Dataset).where(Dataset.id == dataset_id).first()
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if dataset:
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index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
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logger.info(click.style(f"Cleaned vector index for document {document_id}", fg="green"))
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except Exception:
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logger.exception("Failed to clean vector index for document %s", document_id)
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segments = session.scalars(
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select(DocumentSegment).where(DocumentSegment.document_id == document_id)
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).all()
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index_node_ids = [segment.index_node_id for segment in segments]
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with session_factory.create_session() as session, session.begin():
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document = session.query(Document).filter_by(id=document_id).first()
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if not document:
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logger.warning(click.style(f"Document {document_id} not found during sync", fg="yellow"))
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return
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# delete from vector index
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index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
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data_source_info = document.data_source_info_dict
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data_source_info["last_edited_time"] = last_edited_time
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document.data_source_info = data_source_info
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segment_ids = [segment.id for segment in segments]
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segment_delete_stmt = delete(DocumentSegment).where(DocumentSegment.id.in_(segment_ids))
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session.execute(segment_delete_stmt)
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document.indexing_status = "parsing"
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document.processing_started_at = naive_utc_now()
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end_at = time.perf_counter()
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logger.info(
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click.style(
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"Cleaned document when document update data source or process rule: {} latency: {}".format(
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document_id, end_at - start_at
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),
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fg="green",
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)
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)
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except Exception:
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logger.exception("Cleaned document when document update data source or process rule failed")
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segment_delete_stmt = delete(DocumentSegment).where(DocumentSegment.document_id == document_id)
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session.execute(segment_delete_stmt)
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try:
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indexing_runner = IndexingRunner()
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indexing_runner.run([document])
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end_at = time.perf_counter()
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logger.info(click.style(f"update document: {document.id} latency: {end_at - start_at}", fg="green"))
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except DocumentIsPausedError as ex:
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logger.info(click.style(str(ex), fg="yellow"))
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except Exception:
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logger.exception("document_indexing_sync_task failed, document_id: %s", document_id)
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logger.info(click.style(f"Deleted segments for document {document_id}", fg="green"))
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try:
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indexing_runner = IndexingRunner()
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with session_factory.create_session() as session:
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document = session.query(Document).filter_by(id=document_id).first()
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if document:
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indexing_runner.run([document])
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end_at = time.perf_counter()
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logger.info(click.style(f"Sync completed for document {document_id} latency: {end_at - start_at}", fg="green"))
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except DocumentIsPausedError as ex:
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logger.info(click.style(str(ex), fg="yellow"))
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except Exception as e:
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logger.exception("document_indexing_sync_task failed for document_id: %s", document_id)
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with session_factory.create_session() as session, session.begin():
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document = session.query(Document).filter_by(id=document_id).first()
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if document:
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document.indexing_status = "error"
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document.error = str(e)
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document.stopped_at = naive_utc_now()
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