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    "info": {
        "author": "Lewis Franklin",
        "author_email": "lewis.franklin@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: System :: Distributed Computing"
        ],
        "description": "Celey Mutex\n===========\n\nCelery Mutex is a mutex for Celery Tasks, optionally refined based on provided\nkeys. This mutex prevents execution of concurrent tasks, as opposed to delaying\nexecution.\n\n\nInstallation\n------------\n\nSimply run `pip install celery_mutex`\n\n\nRequirements\n------------\n\nCelery Mutex relies on [ZooKeeper](http://zookeeper.apache.org/).\n\n\nUsage\n-----\n\nCelery Mutex takes advantage of Abstract Tasks for Celery. To utilize this\nabstract task, add it as a base for the task:\n\n    import celery_mutex\n\n    @app.task(base=celery_mutex.MutexTask)\n    def my_task(a, b):\n        return a + b\n\nA new configuration variable is required in order to let Celery Mutex know\nabout your ZooKeeper servers:\n\n    ZOOKEEPER_HOSTS = 'localhost:2181'\n\nThis is a comma-separated list of hosts to connect to.\n\nBy default a mutex times out after one hour. This can be changed globally by\nsetting `MUTEX_TIMEOUT` or per-task by setting `mutex_timeout` on the task. For\nboth the value is an integer for the number of seconds to set the time out.\n\nA second configuration option allows you to refine the mutex for a given task.\nBy default, Celery Mutex only allows one instance of a task at a time. However,\nthere may be a need to further refine what is controlled by the mutex. This can\nbe done by setting `mutex_keys` on the task. The value is a list of keys that\nare to be used for determining exclusivity.\n\nUsing our above example, adding the two optional parameters would yield:\n\n    import celery_mutex\n\n    @app.task(base=celery_mutex.MutexTask, mutex_timeout=30, mutex_keys=('a',))\n    def my_task(a, b):\n        return a + b\n\nThis would cause the mutex to only prevent execution for tasks that share the\nsame value for \"a\".",
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        "keywords": "Celery tasks mutex",
        "license": "BSD License",
        "maintainer": null,
        "maintainer_email": null,
        "name": "celery_mutex",
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        "summary": "Mutex for Celery tasks, which can be refined.",
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