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general purpose python data validator

Project Description

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("simplejson", {"type":"string"})

Parsing a more complex JSON document:

>>> import simplejson
>>> import validictory
>>>
>>> data = simplejson.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("simplejson", {"type":"string","minLength":15})
... except ValueError, error:
...     print error
...
Length of value 'simplejson' for field '_data' must be greater than or equal to 15

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

Release History

Release History

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1.1.1

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0.4

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
validictory-1.1.1.tar.gz (18.7 kB) Copy SHA256 Checksum SHA256 Source Apr 4, 2017

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