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        "author": "Mitchell Hashimoto",
        "author_email": "mitchell@kiip.me",
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            "Development Status :: 4 - Beta",
            "Intended Audience :: System Administrators",
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            "Programming Language :: Python",
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        "description": "PyNagios\n========\n\nPyNagios is a simple Python library meant to make writing\n`Nagios <http://www.nagios.org/>`_ plugins much easier. Nagios\nplugins have `quite a few guidelines <http://nagiosplug.sourceforge.net/developer-guidelines.html>`_\nto adhere to, and PyNagios provides helpers to make this\neasy.\n\nInstall\n-------\n\nTo install, simply use ``pip`` or ``easy_install``::\n\n    pip install pynagios\n\nDocumentation\n-------------\n\nDocumentation for the latest version can always be found at\n`http://kiip.github.com/pynagios/latest <http://kiip.github.com/pynagios/latest>`_.\n\nFeatures\n--------\n\nThe core features supported by PyNagios:\n\n- Parsing command line arguments such that the standard expected\n  arguments (such as ``-H``, ``-w``, ``-c``) are accepted.\n- Returning proper POSIX exit code based on status.\n- Parsing Nagios range formats (such as \"@10:20\", \"~:50\", \"10\", etc.)\n- Outputting status and message.\n- Outputting performance data.\n\nExample\n-------\n\nWhat all these features result in is a concise, simple, and\nguidelines-compliant Python-based Nagios plugin::\n\n    from pynagios import Plugin\n\n    class UserCheck(Plugin):\n        \"\"\"\n        Nagios plugin to check how many users are logged into this\n        machine.\n        \"\"\"\n\n        def check(self):\n            # Get the number of logged in users, for now we hardcode\n            users = 27\n\n            # Build a response and exit. This `response_for_value` automatically\n            # creates a response with the proper status given the value and the\n            # warning/critical ranges passed in via the command line.\n            response = self.response_for_value(users, \"%d users\" % users)\n            response.set_perf_data(\"users\", users)\n            response.set_perf_data(\"another metric\", 27, \"MB\")\n            return response\n\n    if __name__ == 'main':\n        # Build the plugin instance and run it. This will also parse\n        # command line arguments by default.\n        UserCheck().check().exit()\n\nWhile the above example subclasses ``Plugin``, you're of course welcome\nto simply call `Plugin`s methods directly and build a ``Response``\nyourself.",
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