- import logging
- import time
-
- import click
- from celery import shared_task
- from sqlalchemy import select
-
- from core.indexing_runner import DocumentIsPausedError, IndexingRunner
- from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
- from extensions.ext_database import db
- from libs.datetime_utils import naive_utc_now
- from models.dataset import Dataset, Document, DocumentSegment
-
- logger = logging.getLogger(__name__)
-
-
- @shared_task(queue="dataset")
- def document_indexing_update_task(dataset_id: str, document_id: str):
- """
- Async update document
- :param dataset_id:
- :param document_id:
-
- Usage: document_indexing_update_task.delay(dataset_id, document_id)
- """
- logger.info(click.style(f"Start update document: {document_id}", fg="green"))
- start_at = time.perf_counter()
-
- document = db.session.query(Document).where(Document.id == document_id, Document.dataset_id == dataset_id).first()
-
- if not document:
- logger.info(click.style(f"Document not found: {document_id}", fg="red"))
- db.session.close()
- return
-
- document.indexing_status = "parsing"
- document.processing_started_at = naive_utc_now()
- db.session.commit()
-
- # delete all document segment and index
- try:
- dataset = db.session.query(Dataset).where(Dataset.id == dataset_id).first()
- if not dataset:
- raise Exception("Dataset not found")
-
- index_type = document.doc_form
- index_processor = IndexProcessorFactory(index_type).init_index_processor()
-
- segments = db.session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
- if segments:
- index_node_ids = [segment.index_node_id for segment in segments]
-
- # delete from vector index
- index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
-
- for segment in segments:
- db.session.delete(segment)
- db.session.commit()
- end_at = time.perf_counter()
- logger.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:
- logger.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()
- logger.info(click.style(f"update document: {document.id} latency: {end_at - start_at}", fg="green"))
- except DocumentIsPausedError as ex:
- logger.info(click.style(str(ex), fg="yellow"))
- except Exception:
- logger.exception("document_indexing_update_task failed, document_id: %s", document_id)
- finally:
- db.session.close()
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