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document_indexing_update_task.py 2.9KB

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  1. import logging
  2. import time
  3. import click
  4. from celery import shared_task
  5. from sqlalchemy import select
  6. from core.indexing_runner import DocumentIsPausedError, IndexingRunner
  7. from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
  8. from extensions.ext_database import db
  9. from libs.datetime_utils import naive_utc_now
  10. from models.dataset import Dataset, Document, DocumentSegment
  11. logger = logging.getLogger(__name__)
  12. @shared_task(queue="dataset")
  13. def document_indexing_update_task(dataset_id: str, document_id: str):
  14. """
  15. Async update document
  16. :param dataset_id:
  17. :param document_id:
  18. Usage: document_indexing_update_task.delay(dataset_id, document_id)
  19. """
  20. logger.info(click.style(f"Start update document: {document_id}", fg="green"))
  21. start_at = time.perf_counter()
  22. document = db.session.query(Document).where(Document.id == document_id, Document.dataset_id == dataset_id).first()
  23. if not document:
  24. logger.info(click.style(f"Document not found: {document_id}", fg="red"))
  25. db.session.close()
  26. return
  27. document.indexing_status = "parsing"
  28. document.processing_started_at = naive_utc_now()
  29. db.session.commit()
  30. # delete all document segment and index
  31. try:
  32. dataset = db.session.query(Dataset).where(Dataset.id == dataset_id).first()
  33. if not dataset:
  34. raise Exception("Dataset not found")
  35. index_type = document.doc_form
  36. index_processor = IndexProcessorFactory(index_type).init_index_processor()
  37. segments = db.session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document_id)).all()
  38. if segments:
  39. index_node_ids = [segment.index_node_id for segment in segments]
  40. # delete from vector index
  41. index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
  42. for segment in segments:
  43. db.session.delete(segment)
  44. db.session.commit()
  45. end_at = time.perf_counter()
  46. logger.info(
  47. click.style(
  48. "Cleaned document when document update data source or process rule: {} latency: {}".format(
  49. document_id, end_at - start_at
  50. ),
  51. fg="green",
  52. )
  53. )
  54. except Exception:
  55. logger.exception("Cleaned document when document update data source or process rule failed")
  56. try:
  57. indexing_runner = IndexingRunner()
  58. indexing_runner.run([document])
  59. end_at = time.perf_counter()
  60. logger.info(click.style(f"update document: {document.id} latency: {end_at - start_at}", fg="green"))
  61. except DocumentIsPausedError as ex:
  62. logger.info(click.style(str(ex), fg="yellow"))
  63. except Exception:
  64. logger.exception("document_indexing_update_task failed, document_id: %s", document_id)
  65. finally:
  66. db.session.close()