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general purpose python data validator

Project description

warning::warning: As of 2018 this library is deprecated, please consider using jsonschema (https://pypi.python.org/pypi/jsonschema) instead.
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A general purpose Python data validator.

Works with Python 2.7 and Python 3.3+

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.

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Filename, size & hash SHA256 hash help File type Python version Upload date
validictory-1.1.2-py2.py3-none-any.whl (24.1 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Dec 1, 2017
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