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.
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.
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