{
    "info": {
        "author": "Denis Korytkin",
        "author_email": "dkorytkin@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Quality Assurance",
            "Topic :: Software Development :: Testing",
            "Topic :: Utilities"
        ],
        "description": "json_checker\n===============================================================================\n\n.. image:: https://travis-ci.org/DKorytkin/json_checker.svg?branch=master\n    :alt: Build\n    :target: https://travis-ci.org/DKorytkin/json_checker\n\n.. image:: https://codecov.io/gh/DKorytkin/json_checker/branch/master/graph/badge.svg\n    :alt: Cov\n    :target: https://codecov.io/gh/DKorytkin/json_checker\n\n.. image:: https://img.shields.io/badge/python-3.6%2C%20%203.7%2C%20%203.8-blue.svg\n    :alt: Python versions\n    :target: https://pypi.python.org/pypi/json_checker\n\n.. image:: https://img.shields.io/pypi/v/json_checker.svg   \n    :alt: PyPI\n    :target: https://pypi.python.org/pypi/json_checker\n\n.. image:: https://img.shields.io/pypi/dm/json_checker.svg   \n    :alt: PyPI - Downloads\n    :target: https://pypistats.org/packages/json-checker\n\n**json_checker** is a library for validating Python data structures,\nsuch as those obtained from JSON (or something else) to Python data-types.\njson_checker has a parameter (soft=True) that allows you validate all json and\nraise all errors after validation done, it`s very profitable from API testing:\n\n.. code:: python\n\n    >>> import requests\n    >>>\n    >>> from json_checker import Checker\n    >>>\n    >>>\n    >>> def test_api():\n    >>>     res = requests.get(API_URL).json()\n    >>>     assert Checker(EXPECTED_RESPONSE, soft=True).validate(res) == res\n\n\nInstallation\n-------------------------------------------------------------------------------\n\n.. code-block:: sh\n\n    $ pip install json_checker\n\n\nExample\n----------------------------------------------------------------------------\n\nHere is a quick example to get a feeling of **json_checker**,\nvalidating a list of entries with personal information:\n\n.. code:: python\n\n    >>> from json_checker import Checker\n\n    >>> current_data = {'first_key': 1, 'second_key': '2'}\n    >>> expected_schema = {'first_key': int, 'second_key': str}\n\n\n    >>> checker = Checker(expected_schema)\n    >>> result = checker.validate(current_data)\n\n\n    >>> assert result == current_data\n\n\nIf data is valid, ``Checker.validate`` will return the validated data\n\nIf data is invalid, ``Checker`` will raise ``CheckerError``.\n\n\nHow ``json_checker`` validates data\n-------------------------------------------------------------------------------\n\nTypes\n~~~~~\n\nIf ``Checker(...)`` encounters a type (such as ``int``, ``str``),\nit will check if the corresponding piece of data is an instance of that type,\notherwise it will raise ``CheckerError``.\n\n.. code:: python\n\n    >>> from json_checker import Checker\n\n    >>> Checker(int).validate(123)\n    123\n\n    >>> Checker(int).validate('123')\n    Traceback (most recent call last):\n    ...\n    checker_exceptions.TypeCheckerError:\n    current value '123' (str) is not int\n\n\nLists, similar containers\n~~~~~~~~~~~~~~~~~~~~~~~~~\n\nIf ``Checker(...)`` encounters an instance of ``list``, ``tuple``, ``set`` or\n``frozenset``, it will validate contents of corresponding data container\nagainst schemas listed inside that container:\nif param ``soft`` is True validate all data,\nand if have not valid data raise exception after validation\n\n.. code:: python\n\n    >>> Checker([int]).validate([1, 1, 0, 1])\n    [1, 1, 0, 1]\n\n    >>> Checker([str], soft=True).validate((1, 2, 3))\n    Traceback (most recent call last):\n    ...\n    checker_exceptions.CheckerError:\n    ListCheckerErrors:\n    current value 1 (int) is not str\n    current value 2 (int) is not str\n    current value 3 (int) is not str\n\n    >>> Checker([str]).validate((1, 2, 3))\n    Traceback (most recent call last):\n    ...\n    checker_exceptions.ListCheckerError:\n    current value 1 (int) is not str\n\nDictionaries\n~~~~~~~~~~~~\n\nIf ``Checker(...)`` encounters an instance of ``dict``, it will validate data\nkey-value pairs:\n\n.. code:: python\n\n    >>> current_dict = {'first_key': 1, 'second_key': '2'}\n    >>> checker = Checker({'first_key': int, 'second_key': int})\n    >>> checker.validate(current_dict)\n\n    Traceback (most recent call last):\n    ...\n    checker_exceptions.DictCheckerError:\n    From key=\"second_key\"\n        current value '2' (str) is not int\n\n\nOperators Or, And, OptionalKey\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nIf you needed validate data from some conditions, use And operator\nfor example current data must be int instance and greater than 0 and less 99\ntry it:\n\n.. code:: python\n\n    >>> from json_checker import Checker, And\n\n    >>> checker = Checker(And(int, lambda x: 0 < x < 99))\n    >>> checker.validate(12)\n    12\n\n    >>> checker.validate(100)\n    Traceback (most recent call last):\n    ...\n    checker_exceptions.CheckerError:\n    Not valid data And(int, <lambda>),\n        function error\n\n\nIf you need validation not required data value, use Or operator\nfor example current data must be int or None\ntry it:\n\n.. code:: python\n\n    >>> from json_checker import Checker, Or\n\n    >>> checker = Checker(Or(int, None))\n    >>> checker.validate(122)\n    122\n\n    >>> checker.validate('666')\n    Traceback (most recent call last):\n    ...\n    checker_exceptions.CheckerError:\n    Not valid data Or('int', None),\n        current value '666' (str) is not int, current value '666' (str) is not None\n\nIf you need validate no required dict key, use OptionalKey\n\n.. code:: python\n\n    >>> from json_checker import Checker, OptionalKey\n\n    >>> expected_schema = {'key1': str, OptionalKey('key2'): int}\n    >>> Checker(expected_schema).validate({'key1': 'value'})\n    {'key1': 'value'}\n\n    >>> Checker(expected_schema).validate({'key1': 'value', 'key2': 'value2'})\n    Traceback (most recent call last):\n    ...\n    checker_exceptions.DictCheckerError:\n    From key=\"OptionalKey(key2)\"\n        current value 'value2' (str) is not int\n\n\nMore logs for debug\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n.. code:: python\n\n    >>> import logging\n    >>> from json_checker import Checker\n\n    >>> logging.basicConfig(level=logging.DEBUG)\n\n    >>> Checker({'k': str}, soft=True).validate({'k': 1})\n    DEBUG:json_checker.app:Checker settings: ignore_extra_keys=False, soft=True\n    DEBUG:json_checker.app:DictChecker({'k': <class 'str'>} (dict)) start with: {'k': 1}\n    DEBUG:json_checker.app:TypeChecker(str) start with: 1\n    DEBUG:json_checker.app:TypeChecker(str) error current value 1 (int) is not str\n    DEBUG:json_checker.app:DictChecker({'k': <class 'str'>} (dict)) error From key=\"k\": current value 1 (int) is not str\n    Traceback (most recent call last):\n    ...\n    CheckerError:\n    From key=\"k\": current value 1 (int) is not str\n\n\n",
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