import logging import time import click from celery import shared_task from core.index.index import IndexBuilder from extensions.ext_database import db from models.dataset import DocumentSegment, Dataset, DatasetKeywordTable, DatasetQuery, DatasetProcessRule, \ AppDatasetJoin, Document @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 ) documents = db.session.query(Document).filter(Document.dataset_id == dataset_id).all() segments = db.session.query(DocumentSegment).filter(DocumentSegment.dataset_id == dataset_id).all() vector_index = IndexBuilder.get_index(dataset, 'high_quality') kw_index = IndexBuilder.get_index(dataset, 'economy') # delete from vector index if vector_index: try: vector_index.delete() except Exception: logging.exception("Delete doc index failed when dataset deleted.") # delete from keyword index try: kw_index.delete() 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(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")