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batch_clean_document_task.py 3.3KB

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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.rag.index_processor.index_processor_factory import IndexProcessorFactory
  7. from core.tools.utils.web_reader_tool import get_image_upload_file_ids
  8. from extensions.ext_database import db
  9. from extensions.ext_storage import storage
  10. from models.dataset import Dataset, DocumentSegment
  11. from models.model import UploadFile
  12. logger = logging.getLogger(__name__)
  13. @shared_task(queue="dataset")
  14. def batch_clean_document_task(document_ids: list[str], dataset_id: str, doc_form: str | None, file_ids: list[str]):
  15. """
  16. Clean document when document deleted.
  17. :param document_ids: document ids
  18. :param dataset_id: dataset id
  19. :param doc_form: doc_form
  20. :param file_ids: file ids
  21. Usage: batch_clean_document_task.delay(document_ids, dataset_id)
  22. """
  23. logger.info(click.style("Start batch clean documents when documents deleted", fg="green"))
  24. start_at = time.perf_counter()
  25. try:
  26. if not doc_form:
  27. raise ValueError("doc_form is required")
  28. dataset = db.session.query(Dataset).where(Dataset.id == dataset_id).first()
  29. if not dataset:
  30. raise Exception("Document has no dataset")
  31. segments = db.session.scalars(
  32. select(DocumentSegment).where(DocumentSegment.document_id.in_(document_ids))
  33. ).all()
  34. # check segment is exist
  35. if segments:
  36. index_node_ids = [segment.index_node_id for segment in segments]
  37. index_processor = IndexProcessorFactory(doc_form).init_index_processor()
  38. index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=True)
  39. for segment in segments:
  40. image_upload_file_ids = get_image_upload_file_ids(segment.content)
  41. for upload_file_id in image_upload_file_ids:
  42. image_file = db.session.query(UploadFile).where(UploadFile.id == upload_file_id).first()
  43. try:
  44. if image_file and image_file.key:
  45. storage.delete(image_file.key)
  46. except Exception:
  47. logger.exception(
  48. "Delete image_files failed when storage deleted, \
  49. image_upload_file_is: %s",
  50. upload_file_id,
  51. )
  52. db.session.delete(image_file)
  53. db.session.delete(segment)
  54. db.session.commit()
  55. if file_ids:
  56. files = db.session.scalars(select(UploadFile).where(UploadFile.id.in_(file_ids))).all()
  57. for file in files:
  58. try:
  59. storage.delete(file.key)
  60. except Exception:
  61. logger.exception("Delete file failed when document deleted, file_id: %s", file.id)
  62. db.session.delete(file)
  63. db.session.commit()
  64. end_at = time.perf_counter()
  65. logger.info(
  66. click.style(
  67. f"Cleaned documents when documents deleted latency: {end_at - start_at}",
  68. fg="green",
  69. )
  70. )
  71. except Exception:
  72. logger.exception("Cleaned documents when documents deleted failed")
  73. finally:
  74. db.session.close()