mirror of
https://github.com/langgenius/dify.git
synced 2024-11-16 11:42:29 +08:00
07ad362854
Co-authored-by: 刘江波 <liujiangbo1@xiaomi.com>
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import datetime
|
|
import time
|
|
|
|
import click
|
|
from sqlalchemy import text
|
|
from werkzeug.exceptions import NotFound
|
|
|
|
import app
|
|
from configs import dify_config
|
|
from extensions.ext_database import db
|
|
from models.dataset import Embedding
|
|
|
|
|
|
@app.celery.task(queue="dataset")
|
|
def clean_embedding_cache_task():
|
|
click.echo(click.style("Start clean embedding cache.", fg="green"))
|
|
clean_days = int(dify_config.PLAN_SANDBOX_CLEAN_DAY_SETTING)
|
|
start_at = time.perf_counter()
|
|
thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days)
|
|
while True:
|
|
try:
|
|
embedding_ids = (
|
|
db.session.query(Embedding.id)
|
|
.filter(Embedding.created_at < thirty_days_ago)
|
|
.order_by(Embedding.created_at.desc())
|
|
.limit(100)
|
|
.all()
|
|
)
|
|
embedding_ids = [embedding_id[0] for embedding_id in embedding_ids]
|
|
except NotFound:
|
|
break
|
|
if embedding_ids:
|
|
for embedding_id in embedding_ids:
|
|
db.session.execute(
|
|
text("DELETE FROM embeddings WHERE id = :embedding_id"), {"embedding_id": embedding_id}
|
|
)
|
|
|
|
db.session.commit()
|
|
else:
|
|
break
|
|
end_at = time.perf_counter()
|
|
click.echo(click.style("Cleaned embedding cache from db success latency: {}".format(end_at - start_at), fg="green"))
|