general purpose python data validator
Project description
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 jsonschema
>>> jsonschema.validate("simplejson", {"type":"string"})
Parsing a more complex JSON document::
>>> import simplejson
>>> import jsonschema
>>>
>>> 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"}
... ]
... }
... }
... }
... ]
... }
>>> jsonschema.validate(data,schema)
Handling validation errors ValueErrors are thrown when validation errors occur.:
>>> import jsonschema
>>> try:
... jsonschema.validate("simplejson", {"type":"string","minLength":15})
... except ValueError, e:
... print e.message
...
Length of 'simplejson' must be more than 15.000000
