{
    "info": {
        "author": "Outernet Inc",
        "author_email": "apps@outernet.is",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Topic :: Utilities"
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        "description": "====================\nChainable Validators\n====================\n\nThis package contains a set of simple functions to facilitate creation of\nchainable validator methods for developing data validation schemata.\n\nAlthough it provides a few validation function, it's main purpose is\nextensibility.\n\nInstalling\n==========\n\nThe PyPI package name is ``chainable-validators``. You can install the package\nusing ``pip`` or ``easy_install``::\n\n    pip install chainable-validators\n\n    easy_install chainable-validators\n\nBasic concepts\n==============\n\nThe basis of all validation are chainable validators (validation functions) and\nthe validation chains which are created using ``make_chain()`` calls.\n\nThe chainable validators are found in the ``validators.validators`` module. For\nconvenience, they can be imported directly from the ``validators`` package::\n\n    >>> from validators import required, istype, gte\n\nThe chainable validators can be used stand-alone or as part of a chain. For\nstandalone usage, pass the value to the validator. ::\n\n    >>> required(None)\n    Traceback (most recent call last):\n    ...\n    ValueError: required value missing\n\nSome validators are parametric. They are first invoked with a parameter, and\nthe return value is then used as a chainable validator. ::\n\n    >>> isint = istype(int)\n    >>> isint('foo')\n    Traceback (most recent call last):\n    ...\n    ValueError: not int\n\nTo build a chain of desired validators, we first compile a list of chainable\nvalidators::\n\n    >>> from validators import make_chain\n    >>> fns = [required, istype(int), gte(2)]\n    >>> chain = make_chain(fns)\n    >>> chain(None)\n    Traceback (most recent call last):\n    ...\n    ValueError: required value missing\n    >>> chain('1')\n    Traceback (most recent call last):\n    ...\n    ValueError: not int\n    >>> chain(1)\n    Traceback (most recent call last):\n    ...\n    ValueError: value too small\n    >>> chain(3)\n    3\n\nThe validators in the chain are invoked in order until the last one is called,\nor ``ValueError`` or ``validators.ReturnEarly`` is raised. When no exceptions\nare raised, the return value of the last chainable validator is returned. In\ncase ``ReturnEarly`` is raised, it is not propagated to the chain's caller, but\ninstead the original value is returned.\n\nList of built-in validators\n===========================\n\nThe following is a list of built-in vaidators.\n\nValidators can be parametric or simple. Simple validators can be used directly.\nParametric validators take an argument and return a chainable validator\nfunctions.\n\nIn the list below, if you encounter a validator that looks like ``foo(bar)``,\nit's a parametric validator.\n\n- ``optional(default=None)`` - interrupts validation chain if value is None or\n  a user-supplied default value\n- ``required`` - rejects None\n- ``nonemtpy`` - rejects empty sequences (string, list, dict)\n- ``boolean`` - reject non-boolean values (other than True, False, 1, and 0)\n- ``istype(t)`` - rejects values that are not of type ``t``\n- ``isin(collection)`` - rejects values that are not in ``collection``\n  (collection is a sequence such as string, list, or dict)\n- ``gte(num)`` - rejects values that are not greater than or equal to ``num``\n- ``lte(num)`` - rejects values that are not less than or equal to ``num``\n- ``match(regex)`` - rejects values that do not match the ``regex`` object\n  (``regex`` object is a valid ``re.RegExp`` instance or object with a\n  ``match()`` method)\n- ``url`` - rejects values that are not URLs\n- ``timestamp(fmt)`` - rejects values that cannot be converted to ``datetime``\n  using ``datetime.strptime()`` and given format string\n\nHelper functions\n================\n\nThere are a few helper functions that help you modify the behavior or one or\nmore functions in the chain.\n\n- ``OR(*fns)`` - rejects value if and only if all of the functions passed to it\n  fail to validate, otherwise passes\n- ``NOT(fn)`` - reverses the behavior of ``fn``\n\nFor example::\n\n    >>> my_chain = [foo, OR(bar, baz), NOT(fam)]\n\nThis chain will validate using ``foo`` first, then either ``bar`` or ``baz``\n(whichever passes), then ``fam``, reversing the results of ``fam`` (if it\nraises, then the validation will succeed and vice versa).\n\nSpec validator\n==============\n\nAnother helper function, that is not mentioned in the previous section, is\n``spec_validator()`` factory function. It takes a spec, which is a dict mapping\nkey/attribute names to chains and returns a validator function that validates\nobjects.\n\nLet's take a look at an example, and then explain things as we go::\n\n    >>> import re\n    >>> from validator import *\n    >>> spec = {\n    ...     'foo': [required, istype(int)],\n    ...     'bar': [optional, match(re.compile(r'te.*')],\n    ...     'baz': [optional, boolean]\n    ... }\n\nEach key in spec represents the key we expect to find in the object. The key\ncould be a dictionary key, list/tuple index, or an object attribute. It could\nalso be an arbitrary value based on which the value will be extracted.\n\nThe way keys map to values is defined by a key function which can be passed\nusing the ``key`` argument. This function must accept a spec key name and\nreturn a function that returns the value given an object. The default key\nfunction is ``operator.itemgetter``. For example, if we have an object that as\nattributes we want to validate, we could create the validator like so::\n\n    >>> import operator\n    >>> attr_validator = spec_validator(spec, key=operator.attrgetter)\n\nEach key maps to an iterable which represents the validator chain. Chains are\napplied to values matching the key.\n\nThe ``spec_validator()`` function returns a validator function. ::\n\n    >>> validator = spec_validator(spec)\n\nWhen passed the object to be validated, the validator function returns a dict\nwhich maps keys to any ``ValueError`` exceptions raised by the individual\nchains. If data is valid, the dict is empty. ::\n\n    >>> data = {'foo': 1, 'bar': 'test', 'baz': None}\n    >>> validator(data)\n    {}\n    >>> data['foo'] = None\n    >>> validator(data)\n    {'foo': ValueError('required value is missing')}\n\nThanks to this behavior, you can test whether object is valid, by testing if\nthe returned dict is empty.\n\nWriting your own validators\n===========================\n\nIt is possible to write your own validators. To write a simple chainable\nvalidator, use the ``validators.chain.chainable`` decorator. ::\n\n    >>> from validators import chainable\n    >>> @chainable\n    ... def my_validator(s):\n    ...     if not s.startswith('foo'):\n    ...         raise ValueError('does not start with foo')\n    ...     return s\n    ... \n    >>> my_validator('foobar')\n    'foobar'\n    >>> my_validator('barfoo')\n    Traceback (most recent call last):\n    ...\n    ValueError: does not start with foo\n\nTo write a parametric validator, define the chainable validator in a closure::\n\n    >>> def my_parametric(start):\n    ...     @chainable\n    ...     def validator(s):\n    ...         if not s.startswith(start):\n    ...             raise ValueError('does not sart with {}'.format(start))\n    ...         return s\n    ...     return validator\n    ... \n    >>> validator = my_parametric('baz')\n    >>> validator('bazfoo')\n    'bazfoo'\n    >>> validator('foo')\n    Traceback (most recent call last):\n    ...\n    ValueError: does not sart with baz\n\nNow you can use these validators in chains like other validators.\n\nReporting bugs\n==============\n\nPlease report any bugs or feature requests to the `issue tracker`_.\n\n.. _issue tracker: https://github.com/Outernet-Project/chainable-validators/issues",
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