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58 lines
2.2 KiB
Python
58 lines
2.2 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 core.index.index import IndexBuilder
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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 Dataset, Document, DocumentSegment
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from werkzeug.exceptions import NotFound
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@shared_task(queue='dataset')
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def delete_segment_from_index_task(segment_id: str, index_node_id: str, dataset_id: str, document_id: str):
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"""
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Async Remove segment from index
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:param segment_id:
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:param index_node_id:
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:param dataset_id:
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:param document_id:
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Usage: delete_segment_from_index_task.delay(segment_id)
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"""
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logging.info(click.style('Start delete segment from index: {}'.format(segment_id), fg='green'))
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start_at = time.perf_counter()
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indexing_cache_key = 'segment_{}_delete_indexing'.format(segment_id)
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try:
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dataset = db.session.query(Dataset).filter(Dataset.id == dataset_id).first()
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if not dataset:
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logging.info(click.style('Segment {} has no dataset, pass.'.format(segment_id), fg='cyan'))
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return
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dataset_document = db.session.query(Document).filter(Document.id == document_id).first()
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if not dataset_document:
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logging.info(click.style('Segment {} has no document, pass.'.format(segment_id), fg='cyan'))
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return
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if not dataset_document.enabled or dataset_document.archived or dataset_document.indexing_status != 'completed':
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logging.info(click.style('Segment {} document status is invalid, pass.'.format(segment_id), fg='cyan'))
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return
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vector_index = IndexBuilder.get_index(dataset, 'high_quality')
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kw_index = IndexBuilder.get_index(dataset, 'economy')
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# delete from vector index
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if vector_index:
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vector_index.delete_by_ids([index_node_id])
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# delete from keyword index
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kw_index.delete_by_ids([index_node_id])
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end_at = time.perf_counter()
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logging.info(click.style('Segment deleted from index: {} latency: {}'.format(segment_id, end_at - start_at), fg='green'))
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except Exception:
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logging.exception("delete segment from index failed")
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finally:
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redis_client.delete(indexing_cache_key)
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