如何在后台任务中访问redis连接

Question

我正在尝试扩展 flask-base 项目 https://github.com/hack4impact/flask-base/tree/master/app which comes with a user model only. I'm trying to add the ability to run a background task on redis using rq. I've found https://devcenter.heroku.com/articles/python-rq 这很有用。

此应用支持 redis 队列，后台 redis 队列由运行实现：

@manager.command
def run_worker():
    """Initializes a slim rq task queue."""
    listen = ['default']
    conn = Redis(
        host=app.config['RQ_DEFAULT_HOST'],
        port=app.config['RQ_DEFAULT_PORT'],
        db=0,
        password=app.config['RQ_DEFAULT_PASSWORD'])

    with Connection(conn):
        worker = Worker(map(Queue, listen))
        worker.work()

使用：

$ python manage.py run_worker

在我看来我有：

@main.route('/selected')
def background_selected():
    from rq import Queue
    from manage import run_worker.conn
    q = Queue(connection=conn)
    return q.enqueue(selected)

问题是我不知道如何将在 run_worker() 中创建的连接导入到我的视图中。我试过 :

的变体

from manage import run_worker.conn

但我得到：

语法错误：语法无效。

如何在后台任务中访问 conn 变量？

Answer 1

根据文档，python-rq Configuration

您可以尝试进行以下更改：

manager.py

import redis

"""Initializes a slim rq task queue."""
listen = ['default']
conn = redis.Redis(host=app.config['RQ_DEFAULT_HOST'], 
                   port=app.config['RQ_DEFAULT_PORT'],
                   db=0,     
                   password=app.config['RQ_DEFAULT_PASSWORD'])

@manager.command
def run_worker():
    with Connection(conn):
        worker = Worker(map(Queue, listen))
        worker.work()

从视图：

from rq import Queue
from manage import conn

q = Queue(connection=conn)

Answer 2

我联系了提供以下信息的开发者：

如何在后台任务中访问redis连接

How to access redis connection in background task

python

redis

flask

python-rq