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 jsonschemaExtras
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.
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!
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.
Release Information
v4.24.1
Properly escape segments in ValidationError.json_path (#139).
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