jsonschema
jsonschema
is an implementation of the JSON
Schema specification for Python.
>>> 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(instance={"name" : "Eggs", "price" : 34.99}, schema=schema)
>>> validate(
... instance={"name" : "Eggs", "price" : "Invalid"}, schema=schema,
... ) # doctest: +IGNORE_EXCEPTION_DETAIL
Traceback (most recent call last):
...
ValidationError: 'Invalid' is not of type 'number'
It can also be used from the command line by installing check-jsonschema.
Features
- Full support for Draft 2020-12, Draft 2019-09, Draft 7, Draft 6, Draft 4 and Draft 3
- Lazy validation that can iteratively report all validation errors.
- Programmatic querying of which properties or items failed validation.
Installation
jsonschema
is available on
PyPI. You can install using
pip:
$ pip install jsonschema
Extras
Two extras are available when installing the package, both currently
related to format
validation:
format
format-nongpl
They can be used when installing in order to include additional dependencies, e.g.:
$ pip install jsonschema'[format]'
Be aware that the mere presence of these dependencies -- or even the
specification of format
checks in a schema -- do not activate format
checks (as per the specification). Please read the format validation
documentation
for further details.
Running the Test Suite
If you have nox
installed (perhaps via pipx install nox
or your
package manager), running nox
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 nox
's
--no-error-on-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
pyperf. Running them can be done via:
$ nox -s perf
Community
The JSON Schema specification has a Slack, with an invite link on its home page. Many folks knowledgeable on authoring schemas can be found there.
Otherwise, opening a GitHub discussion or asking questions on Stack Overflow are other means of getting help if you're stuck.
About
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 Libera (nick: Julian
) in various
channels, including #python
.
If you feel overwhelmingly grateful, you can also sponsor me.
And for companies who appreciate jsonschema
and its continued support
and growth, jsonschema
is also now supportable via
TideLift.