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An implementation of JSON Schema validation for Python

Project description

jsonschema is an implementation of JSON Schema for Python (supporting 2.6+ including Python 3).

>>> from jsonschema import validate

>>> # A sample schema, like what we'd get from json.load()
>>> schema = {
...     "type" : "object",
...     "properties" : {
...         "price" : {"type" : "number"},
...         "name" : {"type" : "string"},
...     },
... }

>>> # If no exception is raised by validate(), the instance is valid.
>>> validate({"name" : "Eggs", "price" : 34.99}, schema)

>>> validate(
...     {"name" : "Eggs", "price" : "Invalid"}, schema
... )                                   # doctest: +IGNORE_EXCEPTION_DETAIL
Traceback (most recent call last):
    ...
ValidationError: 'Invalid' is not of type 'number'

Features

Release Notes

v2.2.0 contains a minor speedup for the host-name format and a small change in draft 3’s allowed types.

Running the Test Suite

jsonschema uses the wonderful Tox for its test suite. (It really is wonderful, if for some reason you haven’t heard of it, you really should use it for your projects).

Assuming you have tox installed (perhaps via pip install tox or your package manager), just run tox in the directory of your source checkout to run jsonschema’s test suite on all of the versions of Python jsonschema supports. Note that you’ll need to have all of those versions installed in order to run the tests on each of them, otherwise tox will skip (and fail) the tests on that version.

Of course you’re also free to just run the tests on a single version with your favorite test runner. The tests live in the jsonschema.tests package.

Community

There’s a mailing list for this implementation on Google Groups.

Please join, and feel free to send questions there.

Contributing

I’m Julian Berman.

jsonschema is on GitHub.

Get in touch, via GitHub or otherwise, if you’ve got something to contribute, it’d be most welcome!

You can also generally find me on Freenode (nick: tos9) in various channels, including #python.

If you feel overwhelmingly grateful, you can woo me with beer money on Gittip or via Google Wallet with the email in my GitHub profile.

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