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79 lines
2.6 KiB
Python
79 lines
2.6 KiB
Python
import datetime
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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.rag.index_processor.index_processor_factory import IndexProcessorFactory
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from core.rag.models.document import Document
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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 Document as DatasetDocument
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from models.dataset import DocumentSegment
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@shared_task(queue='dataset')
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def add_document_to_index_task(dataset_document_id: str):
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"""
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Async Add document to index
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:param document_id:
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Usage: add_document_to_index.delay(document_id)
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"""
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logging.info(click.style('Start add document to index: {}'.format(dataset_document_id), fg='green'))
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start_at = time.perf_counter()
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dataset_document = db.session.query(DatasetDocument).filter(DatasetDocument.id == dataset_document_id).first()
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if not dataset_document:
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raise NotFound('Document not found')
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if dataset_document.indexing_status != 'completed':
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return
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indexing_cache_key = 'document_{}_indexing'.format(dataset_document.id)
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try:
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segments = db.session.query(DocumentSegment).filter(
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DocumentSegment.document_id == dataset_document.id,
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DocumentSegment.enabled == True
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) \
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.order_by(DocumentSegment.position.asc()).all()
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documents = []
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for segment in segments:
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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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documents.append(document)
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dataset = 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_type = dataset.doc_form
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index_processor = IndexProcessorFactory(index_type).init_index_processor()
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index_processor.load(dataset, documents)
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end_at = time.perf_counter()
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logging.info(
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click.style('Document added to index: {} latency: {}'.format(dataset_document.id, end_at - start_at), fg='green'))
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except Exception as e:
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logging.exception("add document to index failed")
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dataset_document.enabled = False
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dataset_document.disabled_at = datetime.datetime.utcnow()
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dataset_document.status = 'error'
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dataset_document.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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