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    "info": {
        "author": "Alexander Rulkov",
        "author_email": "fatemonk@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Topic :: Software Development :: Build Tools"
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        "description": "**Datacast** is a Python package that validates and converts your data.\n\n--------------------------------------------\n\n|pypi| |python_version| |coverage| |license|\n\n--------------------------------------------\n\nBasic Usage\n-----------\n\nInstall with pip:\n\n.. code:: bash\n\n    pip install datacast\n\n\nDefine schema (can be any class with annotations) and use ``cast`` function.\n\n.. code:: python\n\n    from datacast import cast\n\n    class SimpleSchema:\n        one: int\n        two: str\n        three: (lambda x: x ** 2)\n        zero: (int, bool)\n        four: float = 0.4\n        five: None = 'five'\n\n    cast({'one': 1, 'two': 2, 'three': 3, 'zero': '0', 'five': 5}, SimpleSchema)\n    # {'one': 1, 'two': '2', 'three': 9, 'zero': False, 'four': 0.4, 'five': 5}\n\nRules are simple:\n\n-  Params without annotations will be ignored.\n-  Annotation is a *caster*, which will be called with the provided value,\n   eg. ``bool(0)``.\n-  *Caster* is **any** callable. Functions, lambdas, classes etc.\n-  It also can be list or tuple (or another iterable).\n   Then it acts like a chain of *casters*, eg. ``int('0') -> bool(0) -> False``.\n-  If there is no default value - param is required and\n   will raise ``RequiredFieldError`` if not provided.\n-  ``None`` in annotation means no casting.\n\n\nConfig\n------\nYou can use ``Config`` class which acts like a schema AND stores result data.\n\n.. code:: python\n\n    from datacast import Config\n\n    class SimpleConfig(Config):\n        spam: bool\n        ham: None\n        rabbit: float = None\n\n    config = SimpleConfig({'spam': 0, 'ham': 1})\n    assert config.spam == False\n    assert config.ham == 1\n    assert config.rabbit == None\n    assert config._asdict() == {'spam': False, 'ham': 1, 'rabbit': None}\n\nAlso there is ``EnvironConfig`` which loads input data from environment,\ncasts strings to appropriate types and ignores extra vars.\n\n.. code:: python\n\n    from datacast import EnvironConfig\n\n    class SimpleEnvironConfig(EnvironConfig):\n        SPAM: bool\n        HAM: int\n        RABBIT: str\n        NONE_VAL: None\n\n    os.environ['SPAM'] = '0'\n    os.environ['HAM'] = '1'\n    os.environ['RABBIT'] = '2'\n    os.environ['NONE_VAL'] = 'null'\n    config = SimpleEnvironConfig()\n    assert config.SPAM == False\n    assert config.HAM == 1\n    assert config.RABBIT == '2'\n    assert config.NONE_VAL == None\n\n:Valid ``None`` strings: ``'none', 'null', 'nil'``\n:Valid ``True`` strings: ``'true', 't', 'yes', 'y', 'on', '1'``\n:Valid ``False`` strings: ``'false', 'f', 'no', 'n', 'off', '0', ''``\n\nCase doesn't matter.\n\n\nSettings\n--------\n\nYou can specify various settings and apply them in a bunch of different ways.\n\n.. code:: python\n\n    from datacast import apply_settings, Settings\n\n    @apply_settings(\n        on_missing='store',\n        missing_value=False\n    )\n    class SimpleSchema:\n        ...\n\n    # OR\n\n    class SimpleSettings(Settings):\n        on_missing = 'store'\n        missing_value = False\n\n    @apply_settings(SimpleSettings)\n    class SimpleSchema:\n        ...\n\n    # OR pass it to the cast function or Config creation\n\n    cast(input_data, SimpleSchema, settings=SimpleSettings)\n    cast(input_data, SimpleSchema, on_missing='store', missing_value=False)\n    Config(input_data, settings=SimpleSettings)\n    Config(input_data, on_missing='store', missing_value=False)\n\n    # OR use class attribute\n\n    class SimpleSchema:\n        __settings__ = SimpleSettings\n        # OR\n        __settings__ = {'on_missing': 'store', 'missing_value': False}\n        ...\n\n\n**List of settings**\n\n===============  ============  ===============================================\nName             Default       Description\n===============  ============  ===============================================\non_extra         ``'ignore'``  What to do with values that absent from schema.\non_invalid       ``'raise'``   What to do when casting has failed.\non_missing       ``'raise'``   What to do when value is missing but required.\nmissing_value    ``None``      What to store when value is missing.\nstore_callables  ``False``     If ``False`` - execute callable value on store.\nresult_class     ``dict``      Class which stores result data.\nprecasters       ``()``        Prepend additional casters.\npostcasters      ``()``        Append additional casters.\ncast_defaults    ``False``     Cast default values with full casters chain.\nraise_original   ``False``     Raise original exception instead of CastError.\n===============  ============  ===============================================\n\n**Options for 'on_extra', 'on_invalid' and 'on_missing'**\n\n:ignore: Value will be ignored and not be stored in the result.\n:store: Value will be stored in the result as is. In case of ``on_missing`` it\n        will store ``missing_value``.\n:raise: Corresponding exception will be raised.\n:cast: Value will be casted with precasters, postcasters and then stored.\n       Works only with ``on_extra``!\n\nWith ``precasters`` and ``postcasters`` you will transform every caster in\nschema into a chain, which starts and/or ends with those casters.\n\n\n.. |pypi| image:: https://img.shields.io/pypi/v/datacast.svg?style=flat-square&label=version\n    :target: https://pypi.org/project/datacast\n    :alt: Latest version released on PyPI\n\n.. |python_version| image:: https://img.shields.io/badge/python-%3E%3D3.3-blue.svg?style=flat-square\n    :alt: Minimal Python version\n\n.. |coverage| image:: https://img.shields.io/badge/coverage-86%25-yellowgreen.svg?style=flat-square\n    :alt: Test coverage\n\n.. |license| image:: https://img.shields.io/badge/license-MIT-blue.svg?style=flat-square\n    :target: https://raw.githubusercontent.com/fatemonk/datacast/master/LICENSE\n    :alt: Package license\n\n\n",
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