2023-05-15 00:51:32 +00:00
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import logging
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import time
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import click
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2025-08-24 15:07:22 +00:00
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from celery import shared_task
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2024-02-06 05:21:13 +00:00
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2026-01-21 05:43:06 +00:00
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from core.db.session_factory import session_factory
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2024-09-11 08:40:52 +00:00
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from core.indexing_runner import DocumentIsPausedError, IndexingRunner
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2023-05-15 00:51:32 +00:00
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from models.dataset import Document
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2025-08-26 10:10:31 +00:00
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logger = logging.getLogger(__name__)
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2023-05-15 00:51:32 +00:00
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2024-08-26 05:38:37 +00:00
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@shared_task(queue="dataset")
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2023-05-15 00:51:32 +00:00
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def recover_document_indexing_task(dataset_id: str, document_id: str):
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"""
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Async recover document
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:param dataset_id:
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:param document_id:
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Usage: recover_document_indexing_task.delay(dataset_id, document_id)
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"""
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2025-08-26 10:10:31 +00:00
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logger.info(click.style(f"Recover document: {document_id}", fg="green"))
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2023-05-15 00:51:32 +00:00
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start_at = time.perf_counter()
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2026-01-21 05:43:06 +00:00
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with session_factory.create_session() as session:
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document = session.query(Document).where(Document.id == document_id, Document.dataset_id == dataset_id).first()
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if not document:
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logger.info(click.style(f"Document not found: {document_id}", fg="red"))
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return
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try:
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indexing_runner = IndexingRunner()
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if document.indexing_status in {"waiting", "parsing", "cleaning"}:
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indexing_runner.run([document])
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elif document.indexing_status == "splitting":
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indexing_runner.run_in_splitting_status(document)
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elif document.indexing_status == "indexing":
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indexing_runner.run_in_indexing_status(document)
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end_at = time.perf_counter()
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logger.info(click.style(f"Processed document: {document.id} latency: {end_at - start_at}", fg="green"))
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except DocumentIsPausedError as ex:
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logger.info(click.style(str(ex), fg="yellow"))
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except Exception:
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logger.exception("recover_document_indexing_task failed, document_id: %s", document_id)
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