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    "info": {
        "author": "Parviz Khavari",
        "author_email": "csctclan@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Quality Assurance",
            "Topic :: Software Development :: Testing",
            "Typing :: Typed"
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        "description": "[![Build Status](https://travis-ci.org/zeburek/python-apitist.svg?branch=master)](https://travis-ci.org/zeburek/python-apitist)\n\n# python-apitist\n\nBrand new way to test your API\n\n# Installation\n\nActually project is not published on PyPi,\nso the only way:\n```bash\npip install python-apitist\n```\n\n# Default hooks\n\n- RequestDebugLoggingHook\n- RequestInfoLoggingHook\n- PrepRequestDebugLoggingHook\n- PrepRequestInfoLoggingHook\n- ResponseDebugLoggingHook\n- ResponseInfoLoggingHook\n\n## Example usage\n\n```python\nfrom apitist.hooks import PrepRequestInfoLoggingHook, ResponseInfoLoggingHook\nfrom apitist.requests import session\n\n\ns = session()\nPrepRequestInfoLoggingHook.formatter = \"Best formatter {req.method} {req.url}\"\n\ns.add_prep_request_hook(PrepRequestInfoLoggingHook)\ns.add_response_hook(ResponseInfoLoggingHook)\n\ns.post(\"https://httpbin.org/post\", params={\"q\": \"test\"})\n```\n\n# Custom Hooks\n\n```python\nfrom requests import Request, PreparedRequest, Response\n\nfrom apitist.requests import session, RequestHook, PreparedRequestHook, ResponseHook\n\ns = session()\n\nclass ReqHook(RequestHook):\n\n    def run(self, request: Request) -> Request:\n        print(request.url)\n        return request\n\nclass PrepReqHook(PreparedRequestHook):\n\n    def run(self, request: PreparedRequest) -> PreparedRequest:\n        print(request.url)\n        return request\n\n\nclass RespHook(ResponseHook):\n\n    def run(self, response: Response) -> Response:\n        print(response.url)\n        return response\n\ns.add_request_hook(ReqHook)\ns.add_prep_request_hook(PrepReqHook)\ns.add_response_hook(RespHook)\n\ns.get(\"https://ya.ru\", params={\"q\": \"test\"})\n```\n\n# Working with constructor\n\n```python\nimport attr\nimport typing\n\nfrom apitist.constructor import converter\nfrom apitist.hooks import RequestConverterHook, ResponseConverterHook\nfrom apitist.requests import session\n\n\nclass ExampleType:\n    test = None\n\n@attr.s\nclass ExampleStructure:\n    test: ExampleType = attr.ib()\n\n@attr.s\nclass TestResponse:\n    args: typing.Dict = attr.ib()\n    data: str = attr.ib()\n    files: typing.Dict = attr.ib()\n    form: typing.Dict = attr.ib()\n    headers: typing.Dict = attr.ib()\n    json: ExampleStructure = attr.ib()\n    origin: str = attr.ib()\n    url: str = attr.ib()\n\ns = session()\ns.add_hook(RequestConverterHook)\ns.add_hook(ResponseConverterHook)\n\ndef structure_example_type(data, type_):\n    example = ExampleType()\n    example.test = data\n    return example\n\ndef unstructure_example_type(data):\n    return data.test\n\nconverter.register_hooks(\n    ExampleType, structure_example_type, unstructure_example_type\n)\n\nt = ExampleType()\nt.test = \"test\"\n\nstruc = ExampleStructure(t)\n\nres = s.post(\"https://httpbin.org/post\", data=struc).structure(TestResponse)\nprint(res.structured.json.test.test) # test\n```\n\n# Using random data generator\n\nFirst of all create an instance of random class:\n\n```python\nfrom apitist.random import Randomer\nrand = Randomer()\n```\n\nNow, you can add custom hooks for different types:\n\n```python\nrand.add_type(str, lambda: str(random.random()))\nrand.add_type(float, lambda: random.random())\n```\n\nOr using `add_types`:\n\n```python\ntypes = {\n    str: lambda: str(random.random()),\n    float: lambda: random.random()\n}\nrand.add_types(types)\n```\n\nNow you can create random object for given type or any attrs class with\ndefined types:\n\n```python\nimport attr\nimport typing\n\nrand.object(str) # '0.6147789314561384'\nrand.object(float) # 0.4664297665239271\n\n@attr.s\nclass Data:\n    value1: str = attr.ib()\n    value2: typing.List[str] = attr.ib()\n    value3: typing.Tuple[float] = attr.ib()\n\nprint(rand.object(Data))\n# Data(\n#   value1='0.491058956716827',\n#   value2=['0.6568036485871975'],\n#   value3=(0.8603579349502298,)\n# )\n```\n\nIt is better to use it with [Faker](https://github.com/joke2k/faker).\nJust define different subclasses for `str` and add different hooks for them.\nBy this you could create different data for different `str` fields.\n\nAlso, using with `RequestConverterHook` and `ResponseConverterHook`\nyou could easily create random json objects which would be send to server.\n\n\n",
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