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59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
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import logging
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import time
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from typing import List
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import click
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from celery import shared_task
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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 models.dataset import DocumentSegment, Dataset, Document
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@shared_task
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def clean_notion_document_task(document_ids: List[str], dataset_id: str):
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"""
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Clean document when document deleted.
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:param document_ids: document ids
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:param dataset_id: dataset id
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Usage: clean_notion_document_task.delay(document_ids, dataset_id)
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"""
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logging.info(click.style('Start clean document when import form notion document deleted: {}'.format(dataset_id), fg='green'))
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start_at = time.perf_counter()
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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('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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for document_id in document_ids:
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document = db.session.query(Document).filter(
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Document.id == document_id
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).first()
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db.session.delete(document)
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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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vector_index.del_nodes(index_node_ids)
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# delete from keyword index
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if index_node_ids:
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keyword_table_index.del_nodes(index_node_ids)
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for segment in segments:
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db.session.delete(segment)
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db.session.commit()
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end_at = time.perf_counter()
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logging.info(
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click.style('Clean document when import form notion document deleted end :: {} latency: {}'.format(
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dataset_id, end_at - start_at),
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fg='green'))
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except Exception:
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logging.exception("Cleaned document when import form notion document deleted failed")
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