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    "info": {
        "author": "Matt Topol",
        "author_email": "mtopol@factset.com",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "=============\nQuart-OpenAPI\n=============\n\nDocumentation can be found on https://factset.github.io/quart-openapi/\n\n.. inclusion-marker-do-not-remove\n\nQuart-OpenAPI is an extension for Quart_ that adds support for generating a openapi.json file using openapi 3.0.\nIf you are familiar with Quart_, this just wraps around it to add a openapi.json route similar to Flask-RESTPlus_\ngenerating a swagger.json route and adds a Resource base class for building RESTful APIs.\n\nCompatibility\n=============\n\nQuart-OpenAPI requires Python 3.6+ because Quart_ requires it.\n\nInstallation\n============\n\nYou can install via pip\n\n.. code-block:: console\n\n    $ pip install quart-openapi\n\nIf you are developing the module and want to also be able to build the documentation, make sure\nto also install the dependencies from the extras 'doc' package like so:\n\n.. code-block:: console\n\n    $ pip install 'quart-openapi[doc]'\n    $ python setup.py build_sphinx\n\nQuick Start\n===========\n\nIf you're familiar with Quart_ then the quick start doesn't change much:\n\n.. code-block:: python\n\n    from quart_openapi import Pint, Resource\n\n    app = Pint(__name__, title='Sample App')\n\n    @app.route('/')\n    class Root(Resource):\n      async def get(self):\n        '''Hello World Route\n\n        This docstring will show up as the description and short-description\n        for the openapi docs for this route.\n        '''\n        return \"hello\"\n\n\nThis is equivalent to using the following with Quart_ as normal:\n\n.. code-block:: python\n\n    from quart import Quart\n    app = Quart(__name__)\n\n    @app.route('/')\n    async def hello():\n      return \"hello\"\n\nExcept that by using ``Pint`` and ``Resource`` it will also\nadd a route for '/openapi.json' which will contain the documentation of the route and use the docstring for the\ndescription.\n\nUnit Tests\n==========\n\nUnit tests can be run through setuptools also:\n\n.. code-block:: console\n\n    $ python setup.py test\n\nRequest Validation\n==================\n\nRequest validation like you can get with Flask-RESTPlus_!\n\nYou can either create validator models on the fly or you can create a jsonschema document for base models\nand then use references to it. For an on-the-fly validator:\n\n.. code-block:: python\n\n    expected = app.create_validator('sample_request', {\n      'type': 'object',\n      'properties': {\n        'foobar': {\n          'type': 'string'\n        },\n        'baz': {\n          'oneOf': [\n            { 'type': 'integer' },\n            { 'type': 'number', 'format': 'float' }\n          ]\n        }\n      }\n    })\n\n    @app.route('/')\n    class Sample(Resource):\n      @app.expect(expected)\n      async def post(self):\n        # won't get here if the request didn't match the expected schema\n        data = await request.get_json()\n        return jsonify(data)\n\n\nThe default content type is 'application/json', but you can specify otherwise in the decorator:\n\n.. code-block:: json\n\n   {\n     \"$schema\": \"http://json-schema.org/schema#\",\n     \"id\": \"schema.json\",\n     \"components\": {\n       \"schemas\": {\n         \"binaryData\": {\n           \"type\": \"string\",\n           \"format\": \"binary\"\n         }\n       }\n     }\n   }\n\n.. code-block:: python\n\n   app = Pint(__name__, title='Validation Example',\n                 base_model_schema='schema.json')\n   stream = app.create_ref_validator('binaryData', 'schemas')\n\n   @app.route('/')\n   class Binary(Resource):\n     @app.expect((stream, 'application/octet-stream',\n                  {'description': 'gzip compressed data'}))\n     @app.response(HTTPStatus.OK, 'Success')\n     async def post(self):\n       # if the request didn't have a 'content-type' header with a value\n       # of 'application/octet-stream' it will be rejected as invalid.\n       raw_data = await request.get_data(raw=True)\n       # ... do something with the data\n       return \"Success!\"\n\nIn the example above, it'll open, read, and json parse the file *schema.json* and then use it as the basis\nfor referencing models and creating validators. Currently the validator won't do more than validate content-type\nfor content-types other than 'application/json'.\n\n.. _Quart: https://pgjones.gitlab.io/quart/\n.. _Flask-RESTPlus: https://flask-restplus.readthedocs.io/en/stable/\n\n\n\n",
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        "keywords": "quart swagger api rest openapi flask",
        "license": "Apache 2.0",
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        "name": "quart-openapi",
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