本地启动Flower来监控Dify的Celery任务队列

本地启动Flower来监控Dify的Celery任务队列

说明:

启动Middleware服务

git clone https://github.com/langgenius/dify.git
cd dify
cd docker
cp middleware.env.example middleware.env
docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d

准备SECRET_KEY:

cd ../api
cp .env.example .env
# Generate a `SECRET_KEY` in the `.env` file.
sed -i "/^SECRET_KEY=/c\SECRET_KEY=$(openssl rand -base64 42)" .env

创建Python环境并安装依赖:

python3 -m venv venv
source venv/bin/activate
pip install poetry
poetry run which python
poetry shell
poetry install
poetry add flower

运行迁移命令使得数据库保持最新:

poetry run python -m flask db upgrade

注释掉api/app.py中的monkey.patch_all(),注释后头部代码如下:

import os

if os.environ.get("DEBUG", "false").lower() != "true":
    from gevent import monkey

    # monkey.patch_all()

    import grpc.experimental.gevent

    grpc.experimental.gevent.init_gevent()

如果不关闭monkey patching,flower的页面将无法正常刷新出来,见我在flower库上提出的issue: https://github.com/mher/flower/issues/1390

启动Flask API服务:

poetry run python -m flask run --host 0.0.0.0 --port=5001 --debug

启动Web服务:

cd ../web
npm install
npm run dev

启动Celery任务队列:

# source venv/bin/activate
poetry run python -m celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail,ops_trace,app_deletion

启动Flower:

# source venv/bin/activate
poetry run python -m celery -A app.celery flower --port=5555 --address='0.0.0.0' --debug --enable_events
posted @ 2024-08-29 03:26  shizidushu  阅读(19)  评论(0编辑  收藏  举报