Skip to main content

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 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for validictory, version 0.6.0
Filename, size File type Python version Upload date Hashes
Filename, size validictory-0.6.0.tar.gz (11.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page