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        "author": "Mark Lacomber",
        "author_email": "marklacomber@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3"
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        "description": "Logentries Logger\n=================\n\nThis is a plugin library to enable logging to Logentries from the Python Logger.\nAdditionally this plugin allows the user to get an overview of methods being executed,\ntheir execution time, as well as CPU and Memory statistics.\nLogentries is a real-time log management service on the cloud.\nMore info at https://logentries.com. Note that this plugin is\n**asynchronous**.\n\nSetup\n-----\n\nTo use this library, you must first create an account on Logentries.\nThis will only take a few moments.\n\nInstall\n-------\n\nTo install this library, use the following command:\n\n``pip install logentries``\n\nUsage\n-----\n\n.. code-block:: python\n\n    #!/usr/bin/env python\n\n    import logging\n    from logentries import LogentriesHandler\n\n\n    log = logging.getLogger('logentries')\n    log.setLevel(logging.INFO)\n    test = LogentriesHandler(LOGENTRIES_TOKEN)\n\n    log.addHandler(test)\n\n    log.warn(\"Warning message\")\n    log.info(\"Info message\")\n\n    sleep(10)\n\n\nUsage with metric functionality\n-------------------------------\n\n.. code-block:: python\n\n    import time\n    import logging\n    from logentries import LogentriesHandler, metrics\n\n\n    TEST = metrics.Metric(LOGENTRIES_METRIC_TOKEN)\n\n    @TEST.metric()\n    def function_one(t):\n        \"\"\"A dummy function that takes some time.\"\"\"\n        time.sleep(t)\n\n    if __name__ == '__main__':\n            function_one(1)\n\n\nMetric.Time()\n-------------\n\nThis decorator function is used to log the execution time of given function. In the above example ``@TEST.time()`` will wrap ``function_one`` and send log message containing the name and execution time of this function.\n\n\n\nConfigure\n---------\n\nThe parameter ``LOGENTRIES_TOKEN`` needs to be filled in to point to a\nfile in your Logentries account.\n\nThe parameter ``LOGENTRIES_METRIC_TOKEN`` needs to be filled in to point to a metric collection file in your Logentries account. However, please note that metric data can be send to LOGENTRIES_TOKEN and merged with other standard logs.\n\nIn your Logentries account, create a logfile, selecting ``Token TCP`` as\nthe source\\_type. This will print a Token UUID. This\nis the value to use for ``LOGENTRIES_TOKEN`` or ``LOGENTRIES_METRIC_TOKEN``.\n\nThe appender will attempt to send your log data over TLS over port 443,\notherwise it will send over port 80.\n\nYou are now ready to start logging",
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