注：只是 0.4.0 版本源代码阅读的记录。

在 rq/utils.py 底部加了一个用于打印函数调用日志的函数。

def funclog():
    f0 = sys._getframe(1) # funclog 的调用者
    f1 = sys._getframe(2) # funclog 的调用者的上一层

    formatstr = '{0:-<40}{1:->5}   {2:<40}\r{3:-<40}{4:->5}   {5:<20}\n'
    print formatstr.format(f1.f_code.co_filename, f1.f_lineno, f1.f_code.co_name, \
                           f0.f_code.co_filename, f0.f_lineno, f0.f_code.co_name)

• rq:job:[job_id]，散列表
• rq:job:[job_id]:dependents，集合
• rq:queue:[queue_name]，列表
• rq:queues:[queues]，集合
• rq:queue:_compact:uuid4，列表
• rq:worker:[worker_id]，散列表
• rq:workers:[worker_ids]，集合

例如安装 rq 时用 python setup.py install 会在 Python bin 目录下增加两个命令 rqworker 和 rqinfo。 正如下面 entry_points 所表明的，这两个命令默认从 rq/scripts/rqworker.py 中的 mian 函数开始执行。 参考：http://guide.python-distribute.org/creation.html#entry-points

setup(
    name='rq',
    version=get_version(),
    url='https://github.com/nvie/rq/',
    license='BSD',
    author='Vincent Driessen',
    author_email='vincent@3rdcloud.com',
	...
    entry_points='''\
    [console_scripts]
    rqworker = rq.scripts.rqworker:main
    rqinfo = rq.scripts.rqinfo:main
    ''',
	...
)

========== 以下为官方 README =============

RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It should be integrated in your web stack easily.

First, run a Redis server, of course:

$ redis-server

To put jobs on queues, you don't have to do anything special, just define your typically lengthy or blocking function:

import requests

def count_words_at_url(url):
    """Just an example function that's called async."""
    resp = requests.get(url)
    return len(resp.text.split())

You do use the excellent requests package, don't you?

Then, create a RQ queue:

from rq import Queue, use_connection
use_connection()
q = Queue()

And enqueue the function call:

from my_module import count_words_at_url
result = q.enqueue(count_words_at_url, 'http://nvie.com')

For a more complete example, refer to the docs. But this is the essence.

To start executing enqueued function calls in the background, start a worker from your project's directory:

$ rqworker
*** Listening for work on default
Got count_words_at_url('http://nvie.com') from default
Job result = 818
*** Listening for work on default

That's about it.

Simply use the following command to install the latest released version:

pip install rq

If you want the cutting edge version (that may well be broken), use this:

pip install -e git+git@github.com:nvie/rq.git@master#egg=rq

This project has been inspired by the good parts of Celery, Resque and this snippet, and has been created as a lightweight alternative to the heaviness of Celery or other AMQP-based queueing implementations.