import datetime import logging import time import click from celery import shared_task from werkzeug.exceptions import NotFound from core.data_loader.loader.notion import NotionLoader from core.index.index import IndexBuilder from core.indexing_runner import DocumentIsPausedException, IndexingRunner from extensions.ext_database import db from models.dataset import Dataset, Document, DocumentSegment from models.source import DataSourceBinding @shared_task(queue='dataset') def document_indexing_sync_task(dataset_id: str, document_id: str): """ Async update document :param dataset_id: :param document_id: Usage: document_indexing_sync_task.delay(dataset_id, document_id) """ logging.info(click.style('Start sync document: {}'.format(document_id), fg='green')) start_at = time.perf_counter() document = db.session.query(Document).filter( Document.id == document_id, Document.dataset_id == dataset_id ).first() if not document: raise NotFound('Document not found') data_source_info = document.data_source_info_dict if document.data_source_type == 'notion_import': if not data_source_info or 'notion_page_id' not in data_source_info \ or 'notion_workspace_id' not in data_source_info: raise ValueError("no notion page found") workspace_id = data_source_info['notion_workspace_id'] page_id = data_source_info['notion_page_id'] page_type = data_source_info['type'] page_edited_time = data_source_info['last_edited_time'] data_source_binding = DataSourceBinding.query.filter( db.and_( DataSourceBinding.tenant_id == document.tenant_id, DataSourceBinding.provider == 'notion', DataSourceBinding.disabled == False, DataSourceBinding.source_info['workspace_id'] == f'"{workspace_id}"' ) ).first() if not data_source_binding: raise ValueError('Data source binding not found.') loader = NotionLoader( notion_access_token=data_source_binding.access_token, notion_workspace_id=workspace_id, notion_obj_id=page_id, notion_page_type=page_type ) last_edited_time = loader.get_notion_last_edited_time() # check the page is updated if last_edited_time != page_edited_time: document.indexing_status = 'parsing' document.processing_started_at = datetime.datetime.utcnow() db.session.commit() # delete all document segment and index try: dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first() if not dataset: raise Exception('Dataset not found') vector_index = IndexBuilder.get_index(dataset, 'high_quality') kw_index = IndexBuilder.get_index(dataset, 'economy') segments = db.session.query(DocumentSegment).filter(DocumentSegment.document_id == document_id).all() index_node_ids = [segment.index_node_id for segment in segments] # delete from vector index if vector_index: vector_index.delete_by_document_id(document_id) # delete from keyword index if index_node_ids: kw_index.delete_by_ids(index_node_ids) for segment in segments: db.session.delete(segment) end_at = time.perf_counter() logging.info( click.style('Cleaned document when document update data source or process rule: {} latency: {}'.format(document_id, end_at - start_at), fg='green')) except Exception: logging.exception("Cleaned document when document update data source or process rule failed") try: indexing_runner = IndexingRunner() indexing_runner.run([document]) end_at = time.perf_counter() logging.info(click.style('update document: {} latency: {}'.format(document.id, end_at - start_at), fg='green')) except DocumentIsPausedException as ex: logging.info(click.style(str(ex), fg='yellow')) except Exception: pass