clean_dataset_task.py 2.8 KB

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  1. import logging
  2. import time
  3. import click
  4. from celery import shared_task
  5. from core.index.index import IndexBuilder
  6. from extensions.ext_database import db
  7. from models.dataset import (
  8. AppDatasetJoin,
  9. Dataset,
  10. DatasetProcessRule,
  11. DatasetQuery,
  12. Document,
  13. DocumentSegment,
  14. )
  15. @shared_task(queue='dataset')
  16. def clean_dataset_task(dataset_id: str, tenant_id: str, indexing_technique: str,
  17. index_struct: str, collection_binding_id: str):
  18. """
  19. Clean dataset when dataset deleted.
  20. :param dataset_id: dataset id
  21. :param tenant_id: tenant id
  22. :param indexing_technique: indexing technique
  23. :param index_struct: index struct dict
  24. :param collection_binding_id: collection binding id
  25. Usage: clean_dataset_task.delay(dataset_id, tenant_id, indexing_technique, index_struct)
  26. """
  27. logging.info(click.style('Start clean dataset when dataset deleted: {}'.format(dataset_id), fg='green'))
  28. start_at = time.perf_counter()
  29. try:
  30. dataset = Dataset(
  31. id=dataset_id,
  32. tenant_id=tenant_id,
  33. indexing_technique=indexing_technique,
  34. index_struct=index_struct,
  35. collection_binding_id=collection_binding_id
  36. )
  37. documents = db.session.query(Document).filter(Document.dataset_id == dataset_id).all()
  38. segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
  39. kw_index = IndexBuilder.get_index(dataset, 'economy')
  40. # delete from vector index
  41. if dataset.indexing_technique == 'high_quality':
  42. vector_index = IndexBuilder.get_default_high_quality_index(dataset)
  43. try:
  44. vector_index.delete_by_group_id(dataset.id)
  45. except Exception:
  46. logging.exception("Delete doc index failed when dataset deleted.")
  47. # delete from keyword index
  48. try:
  49. kw_index.delete()
  50. except Exception:
  51. logging.exception("Delete nodes index failed when dataset deleted.")
  52. for document in documents:
  53. db.session.delete(document)
  54. for segment in segments:
  55. db.session.delete(segment)
  56. db.session.query(DatasetProcessRule).filter(DatasetProcessRule.dataset_id == dataset_id).delete()
  57. db.session.query(DatasetQuery).filter(DatasetQuery.dataset_id == dataset_id).delete()
  58. db.session.query(AppDatasetJoin).filter(AppDatasetJoin.dataset_id == dataset_id).delete()
  59. db.session.commit()
  60. end_at = time.perf_counter()
  61. logging.info(
  62. click.style('Cleaned dataset when dataset deleted: {} latency: {}'.format(dataset_id, end_at - start_at), fg='green'))
  63. except Exception:
  64. logging.exception("Cleaned dataset when dataset deleted failed")