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            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
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        "description": ".. image:: https://travis-ci.com/gjeusel/pytest-vcrpandas.svg?branch=master\n  :target: https://travis-ci.com/gjeusel/pytest-vcrpandas\n.. image:: https://readthedocs.org/projects/pytest-vcrpandas/badge/?version=latest\n  :target: http://pytest-vcrpandas.readthedocs.io/en/latest/?badge=latest\n  :alt: Documentation Status\n.. image:: https://codecov.io/gh/gjeusel/pytest-vcrpandas/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/gjeusel/pytest-vcrpandas\n.. image:: https://badge.fury.io/py/pytest-vcrpandas.svg\n  :target: https://pypi.python.org/pypi/pytest-vcrpandas/\n  :alt: Pypi package\n\n===============================\npytest-vcrpandas\n===============================\n\nCombine `vcrpy <https://github.com/kevin1024/vcrpy>`_ with\n`pandas <https://github.com/pandas-dev/pandas>`_ to not only mock your HTTP interactions,\nbut also tests your post-processing work to get a pandas DataFrame.\n\nUsage\n-----\n\n.. code:: python\n\n    # test_meteo_client.py\n\n    def test_meteo_get_wind_speed(vcrpandas, client):\n        start = pd.Timestamp('2018-01-01', tz='CET')\n        end = pd.Timestamp('2018-02-01', tz='CET')\n        with vcrpandas(\"meteo_get_wind_speed\") as recorder:\n            df = client.get_wind_speed(start, end)\n            recorder(df)\n\n\n.. code:: bash\n\n    # call pytest for the first time to generate samples\n    > pytest --vcr-record=\"new_episodes\"\n\n    # you can now replay it:\n    > pytest\n\n\nBehind the hood, 2 files are generated by the first run:\n\n- a *meteo_get_wind_speed.yaml*, which is the reponse obtained by\n  the first HTTP interaction.\n- a *meteo_get_wind_speed.pickle* that serve to compare the formatting from\n  the mocked response to the pandas DataFrame, types included.\n\n\nInstallation\n------------\n\n.. code:: bash\n\n    pip install pytest-vcrpandas\n\n\nAdvanced Usage\n--------------\n\nTo configure VCR, here is how to procee:\n\n\n.. code:: python\n\n  @pytest.fixture\n  def my_vcrpandas(vcrpandas):\n      custom_vcr_config = dict(\n          serializer='json',\n          cassette_library_dir='fixtures/myclient/cassettes',\n          match_on=['uri', 'method'],\n          filter_headers=['authorization'],  # filter information from HTTP Headers\n          filter_query_parameters=['api_key'],  # filter information from HTTP query string\n          filter_post_data_parameters=['client_secret'],  # filter information from HTTP post data\n      )\n      vcrpandas.config.update(custom_vcr_config)\n      return vcrpandas\n\n\n  def test_mysupertest(my_vcrpandas):\n      with my_vcrpandas(\"random_bucket_name\") as recorder:\n          recorder(CL.get_stuff())\n\n\nRefere to `VCR configuration <https://vcrpy.readthedocs.io/en/latest/configuration.html`_ and\n`VCR Advanced Features <https://vcrpy.readthedocs.io/en/latest/advanced.html>`_ to get the\nfull list of options.\n\n\n\n",
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