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95 lines
3.6 KiB
Python
95 lines
3.6 KiB
Python
import logging
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import time
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import click
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from celery import shared_task
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from sqlalchemy import select
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from core.db.session_factory import session_factory
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from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
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from extensions.ext_redis import redis_client
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from libs.datetime_utils import naive_utc_now
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from models.dataset import Document, DocumentSegment
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logger = logging.getLogger(__name__)
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@shared_task(queue="dataset")
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def remove_document_from_index_task(document_id: str):
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"""
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Async Remove document from index
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:param document_id: document id
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Usage: remove_document_from_index.delay(document_id)
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"""
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logger.info(click.style(f"Start remove document segments from index: {document_id}", fg="green"))
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start_at = time.perf_counter()
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with session_factory.create_session() as session:
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document = session.query(Document).where(Document.id == document_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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if document.indexing_status != "completed":
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logger.info(click.style(f"Document is not completed, remove is not allowed: {document_id}", fg="red"))
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return
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indexing_cache_key = f"document_{document.id}_indexing"
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try:
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dataset = document.dataset
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if not dataset:
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raise Exception("Document has no dataset")
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index_processor = IndexProcessorFactory(document.doc_form).init_index_processor()
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segments = session.scalars(select(DocumentSegment).where(DocumentSegment.document_id == document.id)).all()
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# Disable summary indexes for all segments in this document
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from services.summary_index_service import SummaryIndexService
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segment_ids_list = [segment.id for segment in segments]
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if segment_ids_list:
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try:
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SummaryIndexService.disable_summaries_for_segments(
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dataset=dataset,
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segment_ids=segment_ids_list,
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disabled_by=document.disabled_by,
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)
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except Exception as e:
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logger.warning("Failed to disable summaries for document %s: %s", document.id, str(e))
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index_node_ids = [segment.index_node_id for segment in segments]
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if index_node_ids:
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try:
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index_processor.clean(dataset, index_node_ids, with_keywords=True, delete_child_chunks=False)
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except Exception:
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logger.exception("clean dataset %s from index failed", dataset.id)
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# update segment to disable
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session.query(DocumentSegment).where(DocumentSegment.document_id == document.id).update(
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{
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DocumentSegment.enabled: False,
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DocumentSegment.disabled_at: naive_utc_now(),
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DocumentSegment.disabled_by: document.disabled_by,
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DocumentSegment.updated_at: naive_utc_now(),
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}
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)
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session.commit()
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end_at = time.perf_counter()
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logger.info(
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click.style(
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f"Document removed from index: {document.id} latency: {end_at - start_at}",
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fg="green",
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)
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)
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except Exception:
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logger.exception("remove document from index failed")
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if not document.archived:
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document.enabled = True
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session.commit()
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finally:
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redis_client.delete(indexing_cache_key)
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