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    "info": {
        "author": "Jelle Smet",
        "author_email": "development@smetj.net",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: Implementation :: PyPy"
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        "description": "::\n\n              __       __    __\n    .--.--.--|__.-----|  |--|  |--.-----.-----.-----.\n    |  |  |  |  |__ --|     |  _  |  _  |     |  -__|\n    |________|__|_____|__|__|_____|_____|__|__|_____|\n                                       version 2.1.2\n\n    Build composable event pipeline servers with minimal effort.\n\n\n\n    =======================\n    wishbone.encode.flatten\n    =======================\n\n    Version: 1.0.0\n\n    Flattens a dict structure of arbitrary depth into individual metric events.\n    ---------------------------------------------------------------------------\n\n\n        This module takes a <dict> structure and recursively travels it\n        flattening the namespace into a dotted format untill a numeric value\n        is encountered. For each metric a <wishbone.event.Metric>\n        datastructure is created and stored in the @data part of\n        <wishbone.event.Event>.\n\n        Non-numeric values are ignored.\n\n        For example:\n\n            {\"server\": {\"host01\": {\"memory\": {\"free\": 10, \"consumed\": 90}}}}\n\n            Would generate following metrics:\n\n            server.host01.memory.free\n            server.host01.memory.consumed\n\n        These metrics are converted to the Wishbone metric data format:\n\n            http://wishbone.readthedocs.org/en/latest/logs%20and%20metrics.html#format\n\n        The module is expecting a Python <dict> type.  That means you should have\n        already decoded the incoming data using a module like wishbone.decode.json.\n\n\n        Parameters:\n\n            - source(str)(\"@data\")\n               |  The event field containing the data to convert.\n\n            - type(str)(\"wishbone\")\n               |  An arbitrary string to assign to the \"type\" field of the Metric\n               |  datastructure.\n\n            - metric_source(str)(\"wishbone\")\n               |  An arbitrary string to assign to the \"source\" field of the Metric\n               |  datastructure.\n\n            - tags(set)()\n               |  An arbitrary set of tags assign to the \"tags\" field of the Metric\n               |  datastructure.\n\n\n        Queues:\n\n            - inbox:    Incoming events.\n\n            - outbox:   Outgoing events with @data containing the wishbone.event.Metric data.",
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        "keywords": "",
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