import datetime import time import click from sqlalchemy import func from werkzeug.exceptions import NotFound import app from configs import dify_config from core.rag.index_processor.index_processor_factory import IndexProcessorFactory from extensions.ext_database import db from models.dataset import Dataset, DatasetQuery, Document @app.celery.task(queue='dataset') def clean_unused_datasets_task(): click.echo(click.style('Start clean unused datasets indexes.', fg='green')) clean_days = dify_config.CLEAN_DAY_SETTING start_at = time.perf_counter() thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) page = 1 while True: try: # Subquery for counting new documents document_subquery_new = db.session.query( Document.dataset_id, func.count(Document.id).label('document_count') ).filter( Document.indexing_status == 'completed', Document.enabled == True, Document.archived == False, Document.updated_at > thirty_days_ago ).group_by(Document.dataset_id).subquery() # Subquery for counting old documents document_subquery_old = db.session.query( Document.dataset_id, func.count(Document.id).label('document_count') ).filter( Document.indexing_status == 'completed', Document.enabled == True, Document.archived == False, Document.updated_at < thirty_days_ago ).group_by(Document.dataset_id).subquery() # Main query with join and filter datasets = (db.session.query(Dataset) .outerjoin( document_subquery_new, Dataset.id == document_subquery_new.c.dataset_id ).outerjoin( document_subquery_old, Dataset.id == document_subquery_old.c.dataset_id ).filter( Dataset.created_at < thirty_days_ago, func.coalesce(document_subquery_new.c.document_count, 0) == 0, func.coalesce(document_subquery_old.c.document_count, 0) > 0 ).order_by( Dataset.created_at.desc() ).paginate(page=page, per_page=50)) except NotFound: break if datasets.items is None or len(datasets.items) == 0: break page += 1 for dataset in datasets: dataset_query = db.session.query(DatasetQuery).filter( DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id ).all() if not dataset_query or len(dataset_query) == 0: try: # remove index index_processor = IndexProcessorFactory(dataset.doc_form).init_index_processor() index_processor.clean(dataset, None) # update document update_params = { Document.enabled: False } Document.query.filter_by(dataset_id=dataset.id).update(update_params) db.session.commit() click.echo(click.style('Cleaned unused dataset {} from db success!'.format(dataset.id), fg='green')) except Exception as e: click.echo( click.style('clean dataset index error: {} {}'.format(e.__class__.__name__, str(e)), fg='red')) end_at = time.perf_counter() click.echo(click.style('Cleaned unused dataset from db success latency: {}'.format(end_at - start_at), fg='green'))