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105 lines
4.2 KiB
Python
105 lines
4.2 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.indexing_runner import DocumentIsPausedException, IndexingRunner
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from core.rag.extractor.notion_extractor import NotionExtractor
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from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
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from extensions.ext_database import db
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from models.dataset import Dataset, Document, DocumentSegment
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from models.source import DataSourceBinding
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@shared_task(queue='dataset')
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def document_indexing_sync_task(dataset_id: str, document_id: str):
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"""
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Async update document
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:param dataset_id:
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:param document_id:
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Usage: document_indexing_sync_task.delay(dataset_id, document_id)
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"""
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logging.info(click.style('Start sync document: {}'.format(document_id), fg='green'))
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start_at = time.perf_counter()
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document = db.session.query(Document).filter(
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Document.id == document_id,
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Document.dataset_id == dataset_id
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).first()
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if not document:
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raise NotFound('Document not found')
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data_source_info = document.data_source_info_dict
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if document.data_source_type == 'notion_import':
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if not data_source_info or 'notion_page_id' not in data_source_info \
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or 'notion_workspace_id' not in data_source_info:
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raise ValueError("no notion page found")
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workspace_id = data_source_info['notion_workspace_id']
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page_id = data_source_info['notion_page_id']
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page_type = data_source_info['type']
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page_edited_time = data_source_info['last_edited_time']
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data_source_binding = DataSourceBinding.query.filter(
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db.and_(
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DataSourceBinding.tenant_id == document.tenant_id,
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DataSourceBinding.provider == 'notion',
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DataSourceBinding.disabled == False,
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DataSourceBinding.source_info['workspace_id'] == f'"{workspace_id}"'
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)
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).first()
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if not data_source_binding:
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raise ValueError('Data source binding not found.')
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loader = NotionExtractor(
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notion_workspace_id=workspace_id,
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notion_obj_id=page_id,
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notion_page_type=page_type,
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notion_access_token=data_source_binding.access_token,
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tenant_id=document.tenant_id
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)
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last_edited_time = loader.get_notion_last_edited_time()
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# check the page is updated
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if last_edited_time != page_edited_time:
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document.indexing_status = 'parsing'
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document.processing_started_at = datetime.datetime.utcnow()
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db.session.commit()
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# delete all document segment and index
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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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raise Exception('Dataset not found')
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index_type = document.doc_form
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index_processor = IndexProcessorFactory(index_type).init_index_processor()
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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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# delete from vector index
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index_processor.clean(dataset, index_node_ids)
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for segment in segments:
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db.session.delete(segment)
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end_at = time.perf_counter()
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logging.info(
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click.style('Cleaned document when document update data source or process rule: {} latency: {}'.format(document_id, end_at - start_at), fg='green'))
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except Exception:
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logging.exception("Cleaned document when document update data source or process rule failed")
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try:
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indexing_runner = IndexingRunner()
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indexing_runner.run([document])
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end_at = time.perf_counter()
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logging.info(click.style('update document: {} latency: {}'.format(document.id, end_at - start_at), fg='green'))
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except DocumentIsPausedException as ex:
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logging.info(click.style(str(ex), fg='yellow'))
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except Exception:
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pass
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