external_document_indexing_task.py 2.9 KB

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  1. import json
  2. import logging
  3. import time
  4. import click
  5. from celery import shared_task # type: ignore
  6. from core.indexing_runner import DocumentIsPausedError
  7. from extensions.ext_database import db
  8. from extensions.ext_storage import storage
  9. from models.dataset import Dataset, ExternalKnowledgeApis
  10. from models.model import UploadFile
  11. from services.external_knowledge_service import ExternalDatasetService
  12. @shared_task(queue="dataset")
  13. def external_document_indexing_task(
  14. dataset_id: str, external_knowledge_api_id: str, data_source: dict, process_parameter: dict
  15. ):
  16. """
  17. Async process document
  18. :param dataset_id:
  19. :param external_knowledge_api_id:
  20. :param data_source:
  21. :param process_parameter:
  22. Usage: external_document_indexing_task.delay(dataset_id, document_id)
  23. """
  24. start_at = time.perf_counter()
  25. dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
  26. if not dataset:
  27. logging.info(
  28. click.style("Processed external dataset: {} failed, dataset not exit.".format(dataset_id), fg="red")
  29. )
  30. return
  31. # get external api template
  32. external_knowledge_api = (
  33. db.session.query(ExternalKnowledgeApis)
  34. .filter(
  35. ExternalKnowledgeApis.id == external_knowledge_api_id, ExternalKnowledgeApis.tenant_id == dataset.tenant_id
  36. )
  37. .first()
  38. )
  39. if not external_knowledge_api:
  40. logging.info(
  41. click.style(
  42. "Processed external dataset: {} failed, api template: {} not exit.".format(
  43. dataset_id, external_knowledge_api_id
  44. ),
  45. fg="red",
  46. )
  47. )
  48. return
  49. files = {}
  50. if data_source["type"] == "upload_file":
  51. upload_file_list = data_source["info_list"]["file_info_list"]["file_ids"]
  52. for file_id in upload_file_list:
  53. file = (
  54. db.session.query(UploadFile)
  55. .filter(UploadFile.tenant_id == dataset.tenant_id, UploadFile.id == file_id)
  56. .first()
  57. )
  58. if file:
  59. files[file.id] = (file.name, storage.load_once(file.key), file.mime_type)
  60. try:
  61. settings = ExternalDatasetService.get_external_knowledge_api_settings(
  62. json.loads(external_knowledge_api.settings)
  63. )
  64. # do http request
  65. response = ExternalDatasetService.process_external_api(settings, files)
  66. job_id = response.json().get("job_id")
  67. if job_id:
  68. # save job_id to dataset
  69. dataset.job_id = job_id
  70. db.session.commit()
  71. end_at = time.perf_counter()
  72. logging.info(
  73. click.style(
  74. "Processed external dataset: {} successful, latency: {}".format(dataset.id, end_at - start_at),
  75. fg="green",
  76. )
  77. )
  78. except DocumentIsPausedError as ex:
  79. logging.info(click.style(str(ex), fg="yellow"))
  80. except Exception:
  81. pass