Metadata-Version: 2.1
Name: jschon
Version: 0.7.0
Summary: A pythonic, extensible JSON Schema implementation.
Home-page: https://github.com/marksparkza/jschon
Author: Mark Jacobson
Author-email: mark@saeon.ac.za
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: ~=3.8
Description-Content-Type: text/markdown
Provides-Extra: test
Provides-Extra: dev
Provides-Extra: doc
License-File: LICENSE

# jschon

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jschon is a pythonic and extensible implementation of the [JSON Schema](https://json-schema.org)
specification.

## Features
* JSON Schema 2019-09 and 2020-12 vocabulary implementations
* Support for custom metaschemas, vocabularies and format validators
* JSON class implementing the JSON data model
* JSON pointer implementation ([RFC 6901](https://tools.ietf.org/html/rfc6901))

## Installation
    pip install jschon

## Hello World Example
```python
from jschon import create_catalogue, JSON, JSONSchema
from pprint import pp

create_catalogue('2020-12', default=True)

schema = JSONSchema({
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "$id": "https://example.com/greeting",
    "type": "object",
    "properties": {
        "greeting": {"$ref": "#/$defs/greetingDefinition"}
    },
    "$defs": {
        "greetingDefinition": {
            "type": "string",
            "minLength": 10
        }
    }
})

valid_instance = JSON({
    "greeting": "Hello, World!"
})

invalid_instance = JSON({
    "greeting": "Hi, World"
})

pp(schema.evaluate(valid_instance).valid)
# True

pp(schema.evaluate(invalid_instance).output('detailed'))
# {'valid': False,
#  'instanceLocation': '',
#  'keywordLocation': '',
#  'absoluteKeywordLocation': 'https://example.com/greeting#',
#  'errors': [{'instanceLocation': '/greeting',
#              'keywordLocation': '/properties/greeting/$ref/minLength',
#              'absoluteKeywordLocation': 'https://example.com/greeting#/$defs/greetingDefinition/minLength',
#              'error': 'The text is too short (minimum 10 characters)'}]}
```

## Documentation
Further examples, as well as a user guide and API reference, are available at
[Read the Docs](https://jschon.readthedocs.io).

## Testing
jschon is tested using the
[JSON Schema Test Suite](https://github.com/marksparkza/JSON-Schema-Test-Suite)
(excluding optional and format tests), along with custom unit tests that make
use of the [Hypothesis](https://hypothesis.readthedocs.io) testing library.

To run the tests, install jschon in editable mode, including testing dependencies:

    pip install -e git+https://github.com/marksparkza/jschon.git#egg=jschon[test]

Then, `cd` to the jschon source directory (`pip show jschon` will give you the
location), and type `tox`.

Note that a complete test run requires all of the supported Python versions
(3.8, 3.9, 3.10) to be installed on your system.

## Contributing
Please see the [guidelines for contributing](CONTRIBUTING.md).


