Current File : //opt/alt/python37/share/doc/alt-python37-jsonschema/README.rst
==========
jsonschema
==========
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``jsonschema`` is an implementation of `JSON Schema <https://json-schema.org>`_
for Python (supporting 2.7+ including Python 3).
.. code-block:: 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 console:
.. code-block:: bash
$ jsonschema -i sample.json sample.schema
Features
--------
* Full support for
`Draft 7 <https://python-jsonschema.readthedocs.io/en/latest/validate/#jsonschema.Draft7Validator>`_,
`Draft 6 <https://python-jsonschema.readthedocs.io/en/latest/validate/#jsonschema.Draft6Validator>`_,
`Draft 4 <https://python-jsonschema.readthedocs.io/en/latest/validate/#jsonschema.Draft4Validator>`_
and
`Draft 3 <https://python-jsonschema.readthedocs.io/en/latest/validate/#jsonschema.Draft3Validator>`_
* `Lazy validation <https://python-jsonschema.readthedocs.io/en/latest/validate/#jsonschema.IValidator.iter_errors>`_
that can iteratively report *all* validation errors.
* `Programmatic querying <https://python-jsonschema.readthedocs.io/en/latest/errors/>`_
of which properties or items failed validation.
Installation
------------
``jsonschema`` is available on `PyPI <https://pypi.org/project/jsonschema/>`_. You can install using `pip <https://pip.pypa.io/en/stable/>`_:
.. code-block:: bash
$ pip install jsonschema
Demo
----
Try ``jsonschema`` interactively in this online demo:
.. image:: https://user-images.githubusercontent.com/1155573/56745335-8b158a00-6750-11e9-8776-83fa675939c4.png
:target: https://notebooks.ai/demo/gh/Julian/jsonschema
:alt: Open Live Demo
Online demo Notebook will look similar to this:
.. image:: https://user-images.githubusercontent.com/1155573/56820861-5c1c1880-6823-11e9-802a-ce01c5ec574f.gif
:alt: Open Live Demo
:width: 480 px
Release Notes
-------------
v3.1 brings support for ECMA 262 dialect regular expressions
throughout schemas, as recommended by the specification. Big
thanks to @Zac-HD for authoring support in a new `js-regex
<https://pypi.org/project/js-regex/>`_ library.
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 `pyperf
<https://pyperf.readthedocs.io>`_.
Running them can be done via ``tox -e perf``, or by invoking the ``pyperf``
commands externally (after ensuring that both it and ``jsonschema`` itself are
installed)::
$ python -m pyperf jsonschema/benchmarks/test_suite.py --hist --output results.json
To compare to a previous run, use::
$ python -m pyperf compare_to --table reference.json results.json
See the ``pyperf`` documentation for more details.
Community
---------
There's a `mailing list <https://groups.google.com/forum/#!forum/jsonschema>`_
for this implementation on Google Groups.
Please join, and feel free to send questions there.
Contributing
------------
I'm Julian Berman.
``jsonschema`` is on `GitHub <https://github.com/Julian/jsonschema>`_.
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 also woo me with beer money
via Google Pay with the email in my GitHub profile.
And for companies who appreciate ``jsonschema`` and its continued support
and growth, ``jsonschema`` is also now supportable via `TideLift
<https://tidelift.com/subscription/pkg/pypi-jsonschema?utm_source=pypi-j
sonschema&utm_medium=referral&utm_campaign=readme>`_.
Mini Shell