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114 lines
3.9 KiB
Python
114 lines
3.9 KiB
Python
import datetime
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import logging
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import time
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from typing import List, Optional
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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 langchain.schema import Document
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from models.dataset import DocumentSegment
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from werkzeug.exceptions import NotFound
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@shared_task(queue='dataset')
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def update_segment_index_task(segment_id: str, keywords: Optional[List[str]] = None):
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"""
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Async update segment index
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:param segment_id:
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:param keywords:
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Usage: update_segment_index_task.delay(segment_id)
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"""
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logging.info(click.style('Start update segment index: {}'.format(segment_id), fg='green'))
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start_at = time.perf_counter()
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segment = db.session.query(DocumentSegment).filter(DocumentSegment.id == segment_id).first()
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if not segment:
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raise NotFound('Segment not found')
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if segment.status != 'updating':
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return
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indexing_cache_key = 'segment_{}_indexing'.format(segment.id)
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try:
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dataset = segment.dataset
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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 = segment.document
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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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# update segment status to indexing
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update_params = {
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DocumentSegment.status: "indexing",
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DocumentSegment.indexing_at: datetime.datetime.utcnow()
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}
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DocumentSegment.query.filter_by(id=segment.id).update(update_params)
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db.session.commit()
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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([segment.index_node_id])
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# delete from keyword index
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kw_index.delete_by_ids([segment.index_node_id])
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# add new index
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document = Document(
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page_content=segment.content,
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metadata={
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"doc_id": segment.index_node_id,
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"doc_hash": segment.index_node_hash,
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"document_id": segment.document_id,
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"dataset_id": segment.dataset_id,
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}
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)
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# save vector index
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index = IndexBuilder.get_index(dataset, 'high_quality')
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if index:
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index.add_texts([document], duplicate_check=True)
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# save keyword index
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index = IndexBuilder.get_index(dataset, 'economy')
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if index:
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if keywords and len(keywords) > 0:
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index.create_segment_keywords(segment.index_node_id, keywords)
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else:
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index.add_texts([document])
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# update segment to completed
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update_params = {
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DocumentSegment.status: "completed",
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DocumentSegment.completed_at: datetime.datetime.utcnow()
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}
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DocumentSegment.query.filter_by(id=segment.id).update(update_params)
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db.session.commit()
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end_at = time.perf_counter()
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logging.info(click.style('Segment update index: {} latency: {}'.format(segment.id, end_at - start_at), fg='green'))
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except Exception as e:
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logging.exception("update segment index failed")
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segment.enabled = False
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segment.disabled_at = datetime.datetime.utcnow()
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segment.status = 'error'
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segment.error = str(e)
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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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