validator.py |Build Status| |PyPI version| |Bitdeli Badge|
==========================================================
Schemas for data structures.
`Documentation <http://validatorpy.readthedocs.org/en/latest/index.html>`__
---------------------------------------------------------------------------
This README has some basic usage information, but more detailed
documentation may be found at
`ReadTheDocs <http://validatorpy.readthedocs.org/en/latest/index.html>`__.
Usage Example
-------------
First, install it from PyPI.
::
pip install validator.py
.. code:: python
from validator import Required, Not, Truthy, Blank, Range, Equals, In, validate
# let's say that my dictionary needs to meet the following rules...
rules = {
"foo": [Required, Equals(123)],
"bar": [Required, Truthy()],
"baz": [In(["spam", "eggs", "bacon"])],
"qux": [Not(Range(1, 100))] # by default, Range is inclusive
}
# then this following dict would pass:
passes = {
"foo": 123,
"bar": True, # or a non-empty string, or a non-zero int, etc...
"baz": "spam",
"qux": 101
}
print validate(rules, passes)
# (True, {})
# but this one would fail
fails = {
"foo": 321,
"bar": False, # or 0, or [], or an empty string, etc...
"baz": "barf",
"qux": 99
}
print validate(rules, fails)
# (False,
# {
# 'foo': ["must be equal to '123'"],
# 'bar': ['must be True-equivalent value'],
# 'baz': ["must be one of ['spam', 'eggs', 'bacon']"],
# 'qux': ['must not fall between 1 and 100']
# })
.. |Build Status| image:: https://travis-ci.org/mansam/validator.py.png?branch=master
:target: https://travis-ci.org/mansam/validator.py
.. |PyPI version| image:: https://badge.fury.io/py/validator.py.png
:target: http://badge.fury.io/py/validator.py
.. |Bitdeli Badge| image:: https://d2weczhvl823v0.cloudfront.net/mansam/validator.py/trend.png
:target: https://bitdeli.com/free
Raw data
{
"_id": null,
"home_page": "https://github.com/mansam/validator.py",
"name": "validator.py",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "",
"author": "Samuel \"mansam\" Lucidi",
"author_email": "sam@samlucidi.com",
"download_url": "https://files.pythonhosted.org/packages/20/fb/546ac431d08ea860f66ad4862c87f5ef0bc89485100ee63f82faf5480925/validator.py-1.3.0.tar.gz",
"platform": "",
"description": "validator.py |Build Status| |PyPI version| |Bitdeli Badge|\n==========================================================\n\nSchemas for data structures.\n\n`Documentation <http://validatorpy.readthedocs.org/en/latest/index.html>`__\n---------------------------------------------------------------------------\n\nThis README has some basic usage information, but more detailed\ndocumentation may be found at\n`ReadTheDocs <http://validatorpy.readthedocs.org/en/latest/index.html>`__.\n\nUsage Example\n-------------\n\nFirst, install it from PyPI.\n\n::\n\n pip install validator.py\n\n.. code:: python\n\n\n from validator import Required, Not, Truthy, Blank, Range, Equals, In, validate\n\n # let's say that my dictionary needs to meet the following rules...\n rules = {\n \"foo\": [Required, Equals(123)],\n \"bar\": [Required, Truthy()],\n \"baz\": [In([\"spam\", \"eggs\", \"bacon\"])],\n \"qux\": [Not(Range(1, 100))] # by default, Range is inclusive\n }\n\n # then this following dict would pass:\n passes = {\n \"foo\": 123,\n \"bar\": True, # or a non-empty string, or a non-zero int, etc...\n \"baz\": \"spam\",\n \"qux\": 101\n }\n print validate(rules, passes)\n # (True, {}) \n\n # but this one would fail\n fails = {\n \"foo\": 321,\n \"bar\": False, # or 0, or [], or an empty string, etc...\n \"baz\": \"barf\",\n \"qux\": 99\n }\n print validate(rules, fails)\n # (False,\n # {\n # 'foo': [\"must be equal to '123'\"],\n # 'bar': ['must be True-equivalent value'],\n # 'baz': [\"must be one of ['spam', 'eggs', 'bacon']\"],\n # 'qux': ['must not fall between 1 and 100']\n # })\n\n.. |Build Status| image:: https://travis-ci.org/mansam/validator.py.png?branch=master\n :target: https://travis-ci.org/mansam/validator.py\n.. |PyPI version| image:: https://badge.fury.io/py/validator.py.png\n :target: http://badge.fury.io/py/validator.py\n.. |Bitdeli Badge| image:: https://d2weczhvl823v0.cloudfront.net/mansam/validator.py/trend.png\n :target: https://bitdeli.com/free\n\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A library for appling schemas to data structures.",
"version": "1.3.0",
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b379d6e61f6876be260d1bd17fe58f11a1219196b15bfd67eb0939650e0680c4",
"md5": "d90c49747e26c0716a63971c4989ba16",
"sha256": "1bb388c6228e9cea665bd879372e44842baf63dda0751a99989068e4ac61ba21"
},
"downloads": -1,
"filename": "validator.py-1.3.0-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "d90c49747e26c0716a63971c4989ba16",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 8246,
"upload_time": "2019-01-30T20:43:20",
"upload_time_iso_8601": "2019-01-30T20:43:20.133635Z",
"url": "https://files.pythonhosted.org/packages/b3/79/d6e61f6876be260d1bd17fe58f11a1219196b15bfd67eb0939650e0680c4/validator.py-1.3.0-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "20fb546ac431d08ea860f66ad4862c87f5ef0bc89485100ee63f82faf5480925",
"md5": "b8a1a74e6e21e304101b9749d6c547d7",
"sha256": "ab3b631630bcbc9b77735e81f7fd11fb20d31eab32ad74d3cdac2ba6e138037e"
},
"downloads": -1,
"filename": "validator.py-1.3.0.tar.gz",
"has_sig": false,
"md5_digest": "b8a1a74e6e21e304101b9749d6c547d7",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 7206,
"upload_time": "2019-01-30T20:43:22",
"upload_time_iso_8601": "2019-01-30T20:43:22.803376Z",
"url": "https://files.pythonhosted.org/packages/20/fb/546ac431d08ea860f66ad4862c87f5ef0bc89485100ee63f82faf5480925/validator.py-1.3.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2019-01-30 20:43:22",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "mansam",
"github_project": "validator.py",
"travis_ci": true,
"coveralls": false,
"github_actions": false,
"lcname": "validator.py"
}
JSON
