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        "author": "Alex Lee",
        "author_email": "lyd.alexlee.public@gmail.com",
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        "description": "Totoro\n======\n.. image:: https://img.shields.io/pypi/v/totoro.svg\n    :target: https://pypi.python.org/pypi/totoro\n\n.. image:: https://img.shields.io/pypi/dm/totoro.svg\n    :target: https://pypi.python.org/pypi/totoro\n\nCelery integration with Tornado.\n\nInstallation\n------------\n\nYou can install Totoro either via the Python Package Index (PyPI) or from source.\n\nTo install using pip, simply:\n\n.. code-block:: bash\n\n    $ sudo pip install totoro\n\nor alternatively (you really should be using pip though):\n\n.. code-block:: bash\n\n    $ sudo easy_install totoro\n\nor from source:\n\n.. code-block:: bash\n\n    $ sudo python setup.py install\n\nTotoro can only support AMQP(RabbitMQ) by default. To use the Redis, you can specify the requirements on the pip comand-line by using brackets.\n\n.. code-block:: bash\n\n    $ sudo pip install totoro[redis]\n\nHello, world\n------------\n\nHere is a simple \"Hello, world!\" example for calling celery tasks from Tornado RequestHandler:\n\n.. code-block:: python\n\n    #!/usr/bin/env python\n    \n    import tornado.httpserver\n    import tornado.ioloop\n    import tornado.web\n    \n    from tornado import gen\n    import totoro\n    from totoro.test.celery_tasks import tasks\n    \n    \n    class MainHandler(tornado.web.RequestHandler):\n        @gen.coroutine\n        def get(self):\n            response = yield gen.Task(tasks.echo.apply_async, args=['Hello world!'])\n            self.write(response.result)\n    \n    \n    def main():\n        totoro.setup_producer()\n        application = tornado.web.Application([\n            (r\"/\", MainHandler),\n        ])\n        http_server = tornado.httpserver.HTTPServer(application)\n        http_server.listen(8888)\n        tornado.ioloop.IOLoop.instance().start()\n    \n    \n    if __name__ == \"__main__\":\n        main()\n\nTo run celery worker for the example:\n\n.. code-block:: bash\n\n    $ python -m totoro.test.runtasks worker -l INFO\n\nConfiguration and defaults\n--------------------------\n\nTOTORO_AMQP_CONNECTION_POOL\n^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n*New in version 0.1.2*\n\nThe setting must a dict that used to configure the AMQP(RabbitMQ) connection pool. It supporting the following keys:\n\n* max_idle_connections - Max number of keeping connections. Defaults to 3.\n* max_open_connections - Max number of opened connections, 0 means no limit. Defaults to 10.\n* max_recycle_sec - How long connections are recycled. Defaults to 3600.\n\nExample configuration:\n\n.. code-block:: python\n\n    celery = Celery(\"totoro_celery_tasks\")\n    celery.conf.update(\n        BROKER_URL='amqp://guest:guest@localhost:5672//',\n        CELERY_TASK_SERIALIZER='json',\n        CELERY_ACCEPT_CONTENT=['json'],  # Ignore other content\n        CELERY_RESULT_SERIALIZER='json',\n        CELERY_TIMEZONE='Asia/Shanghai',\n        CELERY_ENABLE_UTC=True,\n        TOTORO_AMQP_CONNECTION_POOL={\n            'max_idle_connections': 1,\n            'max_open_connections': 10,\n            'max_recycle_sec': 3600\n        },\n    )\n\nTests\n-----\n\nTo run the tests for the AMQP(broker/backend):\n\n.. code-block:: bash\n\n    $ python -m totoro.test.runtasks worker -l INFO\n    $ python -m totoro.test.runtests\n\nTo run the tests for the AMQP broker with the Redis backend:\n\n.. code-block:: bash\n\n    $ CELERY_RESULT_BACKEND=redis://127.0.0.1:6379/0  python -m totoro.test.runtasks worker -l INFO\n    $ CELERY_RESULT_BACKEND=redis://127.0.0.1:6379/0  python -m totoro.test.runtests\n\nTo run the tests for the Redis(broker/backend):\n\n.. code-block:: bash\n\n    $ BROKER_URL=redis://127.0.0.1:6379/0  CELERY_RESULT_BACKEND=redis://127.0.0.1:6379/0 python -m totoro.test.runtasks worker -l INFO\n    $ BROKER_URL=redis://127.0.0.1:6379/0  CELERY_RESULT_BACKEND=redis://127.0.0.1:6379/0 python -m totoro.test.runtests",
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