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63
api/tasks/remove_document_from_index_task.py
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63
api/tasks/remove_document_from_index_task.py
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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 werkzeug.exceptions import NotFound
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from core.index.keyword_table_index import KeywordTableIndex
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from core.index.vector_index import VectorIndex
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from extensions.ext_database import db
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from extensions.ext_redis import redis_client
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from models.dataset import DocumentSegment, Document
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@shared_task
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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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logging.info(click.style('Start remove document segments from index: {}'.format(document_id), fg='green'))
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start_at = time.perf_counter()
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document = db.session.query(Document).filter(Document.id == document_id).first()
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if not document:
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raise NotFound('Document not found')
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if document.indexing_status != 'completed':
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return
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indexing_cache_key = 'document_{}_indexing'.format(document.id)
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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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vector_index = VectorIndex(dataset=dataset)
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keyword_table_index = KeywordTableIndex(dataset=dataset)
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# delete from vector index
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if dataset.indexing_technique == "high_quality":
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vector_index.del_doc(document.id)
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# delete from keyword index
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segments = db.session.query(DocumentSegment).filter(DocumentSegment.document_id == document.id).all()
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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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keyword_table_index.del_nodes(index_node_ids)
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end_at = time.perf_counter()
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logging.info(
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click.style('Document removed from index: {} latency: {}'.format(document.id, end_at - start_at), fg='green'))
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except Exception:
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logging.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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db.session.commit()
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finally:
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redis_client.delete(indexing_cache_key)
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