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Celery integration with Tornado

Project description

Celery integration with Tornado.


You can install Totoro either via the Python Package Index (PyPI) or from source.

To install using pip, simply:

$ sudo pip install totoro

or alternatively (you really should be using pip though):

$ sudo easy_install totoro

or from source:

$ sudo python install

Totoro can only support AMQP(RabbitMQ) by default. To use the Redis, you can specify the requirements on the pip comand-line by using brackets.

$ sudo pip install totoro[redis]

Hello, world

Here is a simple “Hello, world!” example for calling celery tasks from Tornado RequestHandler:

#!/usr/bin/env python

import tornado.httpserver
import tornado.ioloop
import tornado.web

from tornado import gen
import totoro
from totoro.test.celery_tasks import tasks

class MainHandler(tornado.web.RequestHandler):
    def get(self):
        response = yield gen.Task(tasks.echo.apply_async, args=['Hello world!'])

def main():
    application = tornado.web.Application([
        (r"/", MainHandler),
    http_server = tornado.httpserver.HTTPServer(application)

if __name__ == "__main__":

To run celery worker for the example:

$ python -m totoro.test.runtasks worker -l INFO

Configuration and defaults


New in version 0.1.2

The setting must a dict that used to configure the AMQP(RabbitMQ) connection pool. It supporting the following keys:

  • max_idle_connections - Max number of keeping connections. Defaults to 3.
  • max_open_connections - Max number of opened connections, 0 means no limit. Defaults to 10.
  • max_recycle_sec - How long connections are recycled. Defaults to 3600.

Example configuration:

celery = Celery("totoro_celery_tasks")
    CELERY_ACCEPT_CONTENT=['json'],  # Ignore other content
        'max_idle_connections': 1,
        'max_open_connections': 10,
        'max_recycle_sec': 3600


To run the tests for the AMQP(broker/backend):

$ python -m totoro.test.runtasks worker -l INFO
$ python -m totoro.test.runtests

To run the tests for the AMQP broker with the Redis backend:

$ CELERY_RESULT_BACKEND=redis://  python -m totoro.test.runtasks worker -l INFO
$ CELERY_RESULT_BACKEND=redis://  python -m totoro.test.runtests

To run the tests for the Redis(broker/backend):

$ BROKER_URL=redis://  CELERY_RESULT_BACKEND=redis:// python -m totoro.test.runtasks worker -l INFO
$ BROKER_URL=redis://  CELERY_RESULT_BACKEND=redis:// python -m totoro.test.runtests

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