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71 lines
3.2 KiB
Python
71 lines
3.2 KiB
Python
import datetime
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import time
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import click
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from flask import current_app
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from werkzeug.exceptions import NotFound
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import app
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from core.index.index import IndexBuilder
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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 = int(current_app.config.get('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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datasets = db.session.query(Dataset).filter(Dataset.created_at < thirty_days_ago) \
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.order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
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except NotFound:
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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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documents = db.session.query(Document).filter(
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Document.dataset_id == dataset.id,
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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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).all()
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if not documents or len(documents) == 0:
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try:
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# remove index
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vector_index = IndexBuilder.get_index(dataset, 'high_quality')
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kw_index = IndexBuilder.get_index(dataset, 'economy')
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# delete from vector index
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if vector_index:
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if dataset.collection_binding_id:
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vector_index.delete_by_group_id(dataset.id)
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else:
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if dataset.collection_binding_id:
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vector_index.delete_by_group_id(dataset.id)
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else:
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vector_index.delete()
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kw_index.delete()
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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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