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    "info": {
        "author": "Digium, Inc.",
        "author_email": "dlee@digium.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 1 - Planning",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "\n**ORIGINAL REPO:** [digium/swagger-py](https://github.com/digium/swagger-py.git)\n\nAbout\n-----\n\nSwagger.py is a Python library for using\n`Swagger ` [codet-swaggerpy](https://github.com/Thulebona/codet-swaggerpy.git) __ defined API's.\n\nSwagger itself is best described on the Swagger home page:\n\n    Swagger is a specification and complete framework implementation for\n    describing, producing, consuming, and visualizing RESTful web\n    services.\n\nThe `Swagger\nspecification <https://github.com/wordnik/swagger-core/wiki>`__ defines\nhow API's may be described using Swagger.\n\nSwagger.py also supports a WebSocket extension, allowing a WebSocket to\nbe documented, and auto-generated WebSocket client code.\n\npython -v\n---------\n Python3\n\nUsage\n-----\n\nInstall the latest release from PyPI.\n\n::\n\n    $ sudo pip install codet-swaggerpy\n\nOr install from source using the ``setup.py`` script.\n\n::\n\n    $ pip install -e  ./\n    \nAPI\n===\n\nSwagger.py will dynamically build an object model from a Swagger-enabled\nRESTful API.\n\nHere is a simple example using the `Asterisk REST\nInterface <https://wiki.asterisk.org/wiki/display/AST/Asterisk+12+ARI>`__\n\n.. code:: Python\n\n    #!/usr/bin/env python\n\n    import json\n\n    from swaggerpy.client import SwaggerClient\n    from swaggerpy.http_client import SynchronousHttpClient\n\n    http_client = SynchronousHttpClient()\n    http_client.set_basic_auth('localhost', 'hey', 'peekaboo')\n\n    ari = SwaggerClient(\n        \"http://localhost:8088/ari/api-docs/resources.json\",\n        http_client=http_client)\n\n    ws = ari.events.eventWebsocket(app='hello')\n\n    for msg_str in iter(lambda: ws.recv(), None):\n        msg_json = json.loads(msg_str)\n        if msg_json['type'] == 'StasisStart':\n            channelId = msg_json['channel']['id']\n            ari.channels.answer(channelId=channelId)\n            ari.channels.play(channelId=channelId,\n                              media='sound:hello-world')\n            ari.channels.continueInDialplan(channelId=channelId)\n\nswagger-codegen\n===============\n\nThere are the beginnings of a Mustache-based code generator, but it's\nnot functional... yet.\n\n.. Inspired by the original [swagger-codegen][] project, templates are\n   written using [Mustache][] templates ([Pystache][], specifically).\n   There are several important differences.\n\n    * The model that is fed into the mustache templates is almost\n      identical to Swagger's API resource listing and API declaration\n      model. The differences are listed [below](#model).\n    * The templates themselves are completely self contained, with the\n      logic to enrich the model being specified in `translate.py` in the\n      same directory as the `*.mustache` files.\n\nData model\n==========\n\nThe data model presented by the ``swagger_model`` module is nearly\nidentical to the original Swagger API resource listing and API\ndeclaration. This means that if you add extra custom metadata to your\ndocs (such as a ``_author`` or ``_copyright`` field), they will carry\nforward into the object model. I recommend prefixing custom fields with\nan underscore, to avoid collisions with future versions of Swagger.\n\nThere are a few meaningful differences.\n\n-  Resource listing\n-  The ``file`` and ``base_dir`` fields have been added, referencing the\n   original ``.json`` file.\n-  The objects in a ``resource_listing``'s ``api`` array contains a\n   field ``api_declaration``, which is the processed result from the\n   referenced API doc.\n-  API declaration\n-  A ``file`` field has been added, referencing the original ``.json``\n   file.\n\nDevelopment\n-----------\n\nThe code is documented using `Sphinx <http://sphinx-doc.org/>`__, which\nallows `IntelliJ IDEA <http://confluence.jetbrains.net/display/PYH/>`__\nto do a better job at inferring types for autocompletion.\n\nTo keep things isolated, I also recommend installing (and using)\n`virtualenv <http://www.virtualenv.org/>`__.\n\n::\n\n    $ sudo pip install virtualenv\n    $ mkdir -p ~/virtualenv\n    $ virtualenv ~/virtualenv/swagger\n    $ . ~/virtualenv/swagger/bin/activate\n\n`Setuptools <http://pypi.python.org/pypi/setuptools>`__ is used for\nbuilding. `Nose <http://nose.readthedocs.org/en/latest/>`__ is used\nfor unit testing, with the `coverage\n<http://nedbatchelder.com/code/coverage/>`__ plugin installed to\ngenerated code coverage reports. Pass ``--with-coverage`` to generate\nthe code coverage report. HTML versions of the reports are put in\n``cover/index.html``.\n\n::\n\n    $ ./setup.py develop   # prep for development (install deps, launchers, etc.)\n    $ ./setup.py test # run unit tests\n    $ ./setup.py bdist_egg # build distributable\n\n\n\nLicense\n-------\n\nCopyright (c) 2013, Digium, Inc. All rights reserved.\n\nSwagger.py is licensed with a `BSD 3-Clause\nLicense <http://opensource.org/licenses/BSD-3-Clause>`__.\n",
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        "license": "BSD 3-Clause License",
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        "name": "codet-swaggerpy",
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        "summary": "Library for accessing Swagger-enabled API's",
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