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78 lines
3.0 KiB
Python
78 lines
3.0 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.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, DatasetKeywordTable, DatasetQuery, DatasetProcessRule, \
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AppDatasetJoin
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@shared_task
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def clean_dataset_task(dataset_id: str, tenant_id: str, indexing_technique: str, index_struct: str):
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"""
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Clean dataset when dataset deleted.
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:param dataset_id: dataset id
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:param tenant_id: tenant id
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:param indexing_technique: indexing technique
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:param index_struct: index struct dict
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Usage: clean_dataset_task.delay(dataset_id, tenant_id, indexing_technique, index_struct)
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"""
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logging.info(click.style('Start clean dataset when dataset 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 = Dataset(
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id=dataset_id,
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tenant_id=tenant_id,
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indexing_technique=indexing_technique,
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index_struct=index_struct
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)
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vector_index = VectorIndex(dataset=dataset)
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keyword_table_index = KeywordTableIndex(dataset=dataset)
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documents = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all()
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index_doc_ids = [document.id for document in documents]
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segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_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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if dataset.indexing_technique == "high_quality":
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for index_doc_id in index_doc_ids:
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try:
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vector_index.del_doc(index_doc_id)
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except Exception:
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logging.exception("Delete doc index failed when dataset deleted.")
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continue
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# delete from keyword index
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if index_node_ids:
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try:
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keyword_table_index.del_nodes(index_node_ids)
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except Exception:
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logging.exception("Delete nodes index failed when dataset deleted.")
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for document in documents:
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db.session.delete(document)
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for segment in segments:
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db.session.delete(segment)
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db.session.query(DatasetKeywordTable).filter(DatasetKeywordTable.dataset_id == dataset_id).delete()
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db.session.query(DatasetProcessRule).filter(DatasetProcessRule.dataset_id == dataset_id).delete()
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db.session.query(DatasetQuery).filter(DatasetQuery.dataset_id == dataset_id).delete()
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db.session.query(AppDatasetJoin).filter(AppDatasetJoin.dataset_id == dataset_id).delete()
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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('Cleaned dataset when dataset deleted: {} latency: {}'.format(dataset_id, end_at - start_at), fg='green'))
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except Exception:
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logging.exception("Cleaned dataset when dataset deleted failed")
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