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595e9b25ba
Co-authored-by: jyong <jyong@dify.ai>
30 lines
1.1 KiB
Python
30 lines
1.1 KiB
Python
import app
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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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from extensions.ext_database import db
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from models.dataset import Embedding
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@app.celery.task(queue='dataset')
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def clean_embedding_cache_task():
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click.echo(click.style('Start clean embedding cache.', 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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embeddings = db.session.query(Embedding).filter(Embedding.created_at < thirty_days_ago) \
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.order_by(Embedding.created_at.desc()).paginate(page=page, per_page=100)
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except NotFound:
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break
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for embedding in embeddings:
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db.session.delete(embedding)
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db.session.commit()
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page += 1
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end_at = time.perf_counter()
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click.echo(click.style('Cleaned embedding cache from db success latency: {}'.format(end_at - start_at), fg='green'))
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