import datetime import logging import time import click from celery import shared_task # type: ignore from werkzeug.exceptions import NotFound from core.rag.index_processor.constant.index_type import IndexType from core.rag.index_processor.index_processor_factory import IndexProcessorFactory from core.rag.models.document import ChildDocument, Document from extensions.ext_database import db from extensions.ext_redis import redis_client from models.dataset import DatasetAutoDisableLog, DocumentSegment from models.dataset import Document as DatasetDocument @shared_task(queue="dataset") def add_document_to_index_task(dataset_document_id: str): """ Async Add document to index :param dataset_document_id: Usage: add_document_to_index.delay(dataset_document_id) """ logging.info(click.style("Start add document to index: {}".format(dataset_document_id), fg="green")) start_at = time.perf_counter() dataset_document = db.session.query(DatasetDocument).filter(DatasetDocument.id == dataset_document_id).first() if not dataset_document: raise NotFound("Document not found") if dataset_document.indexing_status != "completed": return indexing_cache_key = "document_{}_indexing".format(dataset_document.id) try: segments = ( db.session.query(DocumentSegment) .filter( DocumentSegment.document_id == dataset_document.id, DocumentSegment.enabled == False, DocumentSegment.status == "completed", ) .order_by(DocumentSegment.position.asc()) .all() ) documents = [] for segment in segments: document = Document( page_content=segment.content, metadata={ "doc_id": segment.index_node_id, "doc_hash": segment.index_node_hash, "document_id": segment.document_id, "dataset_id": segment.dataset_id, }, ) if dataset_document.doc_form == IndexType.PARENT_CHILD_INDEX: child_chunks = segment.child_chunks if child_chunks: child_documents = [] for child_chunk in child_chunks: child_document = ChildDocument( page_content=child_chunk.content, metadata={ "doc_id": child_chunk.index_node_id, "doc_hash": child_chunk.index_node_hash, "document_id": segment.document_id, "dataset_id": segment.dataset_id, }, ) child_documents.append(child_document) document.children = child_documents documents.append(document) dataset = dataset_document.dataset if not dataset: raise Exception("Document has no dataset") index_type = dataset.doc_form index_processor = IndexProcessorFactory(index_type).init_index_processor() index_processor.load(dataset, documents) # delete auto disable log db.session.query(DatasetAutoDisableLog).filter( DatasetAutoDisableLog.document_id == dataset_document.id ).delete() # update segment to enable db.session.query(DocumentSegment).filter(DocumentSegment.document_id == dataset_document.id).update( { DocumentSegment.enabled: True, DocumentSegment.disabled_at: None, DocumentSegment.disabled_by: None, DocumentSegment.updated_at: datetime.datetime.now(datetime.UTC).replace(tzinfo=None), } ) db.session.commit() end_at = time.perf_counter() logging.info( click.style( "Document added to index: {} latency: {}".format(dataset_document.id, end_at - start_at), fg="green" ) ) except Exception as e: logging.exception("add document to index failed") dataset_document.enabled = False dataset_document.disabled_at = datetime.datetime.now(datetime.UTC).replace(tzinfo=None) dataset_document.status = "error" dataset_document.error = str(e) db.session.commit() finally: redis_client.delete(indexing_cache_key)