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156 lines
6.4 KiB
Python
156 lines
6.4 KiB
Python
import logging
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import time
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import click
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from celery import shared_task
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from sqlalchemy import delete, select
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from core.db.session_factory import session_factory
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from core.indexing_runner import DocumentIsPausedError, IndexingRunner
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from core.rag.extractor.notion_extractor import NotionExtractor
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from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
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from libs.datetime_utils import naive_utc_now
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from models.dataset import Dataset, Document, DocumentSegment
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from services.datasource_provider_service import DatasourceProviderService
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logger = logging.getLogger(__name__)
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@shared_task(queue="dataset")
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def document_indexing_sync_task(dataset_id: str, document_id: str):
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"""
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Async update document
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:param dataset_id:
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:param document_id:
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Usage: document_indexing_sync_task.delay(dataset_id, document_id)
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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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if not document:
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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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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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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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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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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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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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logger.info(click.style(f"Document {document_id} content changed, starting sync", fg="green"))
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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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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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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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document.indexing_status = "parsing"
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document.processing_started_at = naive_utc_now()
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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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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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