An implementation of JSON Schema validation for Python
Project description
jsonschema is an implementation of JSON Schema for Python (supporting 2.7+ 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'It can also be used from console:
$ jsonschema -i sample.json sample.schemaFeatures
Lazy validation that can iteratively report all validation errors.
Small and extensible
Programmatic querying of which properties or items failed validation.
Installation
jsonschema is available on PyPI. You can install using pip:
$ pip install jsonschemaRelease Notes
Version 2.6.0 drops support for Python 2.6.X (ha ha) and contains a number of small improvements in error messages, as well as a bug fix for ErrorTree.
Running the Test Suite
If you have tox installed (perhaps via pip install tox or your package manager), running tox in the directory of your source checkout will run jsonschema’s test suite on all of the versions of Python jsonschema supports. If you don’t have all of the versions that jsonschema is tested under, you’ll likely want to run using``tox``’s --skip-missing-interpreters option.
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.
Benchmarks
jsonschema’s benchmarks make use of perf.
Running them can be done via tox -e perf, or by invoking the perf commands externally (after ensuring that both it and jsonschema itself are installed):
$ python -m perf jsonschema/benchmarks/test_suite.py --hist --output results.json
To compare to a previous run, use:
$ python -m perf compare_to --table reference.json results.json
See the perf documentation for more details.
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 via Google Pay with the email in my GitHub profile.
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