Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

https://badge.fury.io/py/json-spec.png https://travis-ci.org/johnnoone/json-spec.png?branch=master https://pypip.in/d/json-spec/badge.png

This library implements several JSON specs, like JSON Schema, JSON Reference and JSON Pointer:

  • It works on python 2.7, python 3.3 and above

  • It is release under the BSD license

Installation

This library has only weak dependencies. You can simply use pip:

$ pip install json-spec

Regading you needs, you can install more features. For example, this command will enable colorated messages:

$ pip install json-spec[cli]

This one will enable ip format for json schema:

$ pip install json-spec[ip]

…

CLI Usage

This module expose 2 cli commands.

json-extract will extract parts of your json document:

$ json-extract '#/foo/1' --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json-extract '#/foo/1'
$ json-extract '#/foo/1' --document-file=doc.json
$ json-extract '#/foo/1' < doc.json

json-validate will validate your document against a schema:

$ json-validate --schema-file=schema.json --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json-validate --schema-file=schema.json
$ json-validate --schema-file=schema.json --document-file=doc.json
$ json-validate --schema-file=schema.json < doc.json

Library usage

Let say you want to fetch / validate JSON like objects in you python scripts.

You can extract member of an object with JSON Pointer:

from jsonspec.pointer import extract

obj = {
    'foo': ['bar', 'baz', 'quux']
}
assert 'baz' == extract(obj, '/foo/1')

You can resolve member of any object with JSON Reference:

from jsonspec.reference import resolve

obj = {
    'foo': ['bar', 'baz', {
        '$ref': '#/sub'
    }],
    'sub': 'quux'
}

assert 'quux' == resolve(obj, '#/foo/2')

You can describe you data with JSON Schema:

from jsonspec.validators import load

# data will validate against this schema
validator = load({
    'title': 'Example Schema',
    'type': 'object',
    'properties': {
        'age': {
            'description': 'Age in years',
            'minimum': 0,
            'type': 'integer'
        },
        'firstName': {
            'type': 'string'
        },
        'lastName': {
            'type': 'string'
        }
    },
    'required': [
        'firstName',
        'lastName'
    ]
})

# validate this data
validator.validate({
    'firstName': 'John',
    'lastName': 'Noone',
    'age': 33,
})

Other examples can be found in the documentation or in the tests.

Metadata

Release files for json-spec 0.9.7.2.g16a294b

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for json-spec 0.9.7.2.g16a294b
File Size Uploaded
json-spec-0.9.7.2.g16a294b.tar.gz 144.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for json-spec 0.9.7.2.g16a294b
File Interpreter ABI Platform
json_spec-0.9.7.2.g16a294b-py2.py3-none-any.whl Details

Total release size: 187.9 kB

Release files / json-spec-0.9.7.2.g16a294b.tar.gz

Download URL json-spec-0.9.7.2.g16a294b.tar.gz
Size 144.0 kB
Tags Source
SHA-256 checksum
How to use checksums
bc512c968e0b411680512b80182bb4db00d821ce03df20c83d5f4aa7a615d1b4
BLAKE2b-256 checksum
How to use checksums
59e51eb971b59acfcd9a9086c346ff240e83e01f8abd635a5eb208e892983182
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / json_spec-0.9.7.2.g16a294b-py2.py3-none-any.whl

Download URL json_spec-0.9.7.2.g16a294b-py2.py3-none-any.whl
Size 43.8 kB
SHA-256 checksum
How to use checksums
366b9c4b929d374e61d998125dc7f24ae19fd11e6272e661a19adbdfeb27d35e
BLAKE2b-256 checksum
How to use checksums
d9c77366c2bc4377d7f65b1dcd6be0b4470f99f9c0547c3924f629a2c7e7e82e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page