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
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