https://github.com/jpmckinney/validictory

🎓 deprecated general purpose python data validator
https://github.com/jpmckinney/validictory

jsonschema python validation

Last synced: 4 days ago
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🎓 deprecated general purpose python data validator

• Host: GitHub
• URL: https://github.com/jpmckinney/validictory
• Owner: jpmckinney
• License: other
• Created: 2010-07-30T21:40:15.000Z (over 14 years ago)
• Default Branch: master
• Last Pushed: 2024-02-15T19:44:50.000Z (11 months ago)
• Last Synced: 2024-05-01T22:37:52.918Z (8 months ago)
• Topics: jsonschema, python, validation
• Language: Python
• Homepage:
• Size: 382 KB
• Stars: 239
• Watchers: 19
• Forks: 57
• Open Issues: 3
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE.txt
  • Authors: AUTHORS.txt

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README

        
===========

validictory

===========

:warning: **:warning: As of 2018 this library is deprecated, please consider using jsonschema (https://pypi.python.org/pypi/jsonschema) instead.**

.. image:: https://travis-ci.org/jamesturk/validictory.svg?branch=master

    :target: https://travis-ci.org/jamesturk/validictory

.. image:: https://coveralls.io/repos/jamesturk/validictory/badge.png?branch=master

    :target: https://coveralls.io/r/jamesturk/validictory

.. image:: https://img.shields.io/pypi/v/validictory.svg

    :target: https://pypi.python.org/pypi/validictory

.. image:: https://readthedocs.org/projects/validictory/badge/?version=latest

    :target: https://readthedocs.org/projects/validictory/?badge=latest

    :alt: Documentation Status

A general purpose Python data validator.

Schema format based on JSON Schema Proposal (http://json-schema.org)

Contains code derived from jsonschema, by Ian Lewis and Yusuke Muraoka.

Usage

=====

JSON documents and schema must first be loaded into a Python dictionary type

before it can be validated.

Parsing a simple JSON document::

    >>> import validictory

    >>>

    >>> validictory.validate("something", {"type":"string"})

Parsing a more complex JSON document::

    >>> import json

    >>> import validictory

    >>>

    >>> data = json.loads('["foo", {"bar":["baz", null, 1.0, 2]}]')

    >>> schema = {

    ...   "type":"array",

    ...   "items":[

    ...     {"type":"string"},

    ...     {"type":"object",

    ...      "properties":{

    ...        "bar":{

    ...          "items":[

    ...            {"type":"string"},

    ...            {"type":"any"},

    ...            {"type":"number"},

    ...            {"type":"integer"}

    ...          ]

    ...        }

    ...      }

    ...    }

    ...   ]

    ... }

    >>> validictory.validate(data,schema)

Catch ValueErrors to handle validation issues::

    >>> import validictory

    >>>

    >>> try:

    ...     validictory.validate("something", {"type":"string","minLength":15})

    ... except ValueError, error:

    ...     print(error)

    ...

    Length of value 'something' for field '_data' must be greater than or equal to 15

You can read more in the official documentation at `Read the Docs `_.