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