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        "author": "Jos\u00e9 Antonio Perdiguero L\u00f3pez",
        "author_email": "perdy.hh@gmail.com",
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Natural Language :: English",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: Software Development :: Object Brokering"
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        "description": "===============\nTask Dispatcher\n===============\n\n|build-status| |coverage|\n\n:Version: 1.4.5\n:Status: Production/Stable\n:Author: Jos\u00e9 Antonio Perdiguero L\u00f3pez\n\n\nLibrary that provides a system to generate tasks producers and consumers with ease.\n\nCelery is used as backend, so it's necessary to configure it in the application where this library will be used.\n\nTo achieve a producer-consumer behavior this library provides an easy to use script for running all necessary processes:\n\n  - **Producer**: Tasks in charge of generating processing units.\n  - **Consumer**: Tasks that handle and run processing units.\n  - **Scheduler**: Manager that runs producer tasks according to specified dates or regularity.\n\nQuick start\n===========\n\n1. Install this package using pip:\n\n.. code:: bash\n\n    pip install task-dispatcher\n\n2. Decorate your functions as producer and consumer tasks:\n\n.. code:: python\n\n    from task_dispatcher import consumer, producer\n\n\n    @consumer\n    def square(x):\n        return x**2\n\n\n    @producer\n    def prod_function(n):\n        for i in range(n):\n            square.delay(i)\n\n3. Run producer, consumer and scheduler processes:\n\n.. code:: bash\n\n    python task-dispatcher producer\n    python task-dispatcher consumer\n    python task-dispatcher scheduler\n\nConsumer and Producer\n=====================\n\nThis library provides convenient decorators for generating a task dispatcher system based on producer-consumer pattern.\nDecorated functions or methods acts as Celery tasks and can be called using his own syntax: `Calling celery tasks\n<http://docs.celeryproject.org/en/latest/userguide/calling.html>`_. Also, it's possible to compose these tasks using\n`Celery Canvas <http://docs.celeryproject.org/en/latest/userguide/canvas.html>`_.\n\nRegister\n========\n\nConsumer and producer tasks are registered to ease the way of access them. There is a register module that contains the\ntask register where all tasks can be found:\n\n.. code:: python\n\n    from task_dispatcher import register\n\n    # Get consumers\n    register.consumers\n\n    # Get produces\n    register.producers\n\n\nAlso, this register provides a set of utilities, such as convert it into JSON or YAML format:\n\n.. code:: python\n\n    from task_dispatcher import register\n\n    yaml_register = register.to_yaml()\n    json_register = register.to_json()\n\nCommand Line Interface\n======================\n\nThere is a script that can be called directly through executing the task_dispatcher package itself or the command\nlocated in commands module. To show command help:\n\n.. code:: bash\n\n    python task-dispatcher -h\n\nThis script also gives a friendly way of list all tasks registered:\n\n.. code:: bash\n\n    python task-dispatcher list\n\nDjango\n======\n\nThis library can be imported and used as a Django application instead of a plain library, so that the CLI script also\nacts as a Django command.\n\nSettings\n========\n\nCelery settings can be specified through **TASK_DISPATCHER_SETTINGS** variable using path format indicated in\n`Celery application configuration <http://docs.celeryproject.org/en/latest/userguide/application.html#configuration>`_.\n\n\n.. |build-status| image:: https://travis-ci.org/PeRDy/task-dispatcher.svg?branch=master\n    :alt: build status\n    :scale: 100%\n    :target: https://travis-ci.org/PeRDy/task-dispatcher\n.. |coverage| image:: https://coveralls.io/repos/github/PeRDy/task-dispatcher/badge.svg\n    :alt: coverage\n    :scale: 100%\n    :target: https://coveralls.io/github/PeRDy/task-dispatcher\n\n\n",
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        "keywords": "python stream data dispatcher flow database cache celery producer consumer scheduler",
        "license": "GPLv3",
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