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