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Description:

jsonspec 0.12.0

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

It works on python 3.6 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 a cli command with multiple operations.
json add will transform the json document:
$ json add '#/foo/1' --fragment-file=fragment.json --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json add '#/foo/1' --fragment-json='first'
$ json add '#/foo/1' --fragment-file=fragment.json --document-file=doc.json
$ json add '#/foo/1' --fragment-file=fragment.json < doc.json
json check will test that a value at the target location is equal to a specified value:
$ json check '#/foo/1' --fragment-file=fragment.json --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json check '#/foo/1' --fragment-file=fragment.json
$ json check '#/foo/1' --fragment-file=fragment.json --document-file=doc.json
$ json check '#/foo/1' --fragment-file=fragment.json < doc.json
json copy will copy the value at a specified location to the target location:
$ json copy '#/foo/1' --target='#/foo/2' --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json copy '#/foo/1' --target='#/foo/2'
$ json copy '#/foo/1' --target='#/foo/2' --document-file=doc.json
$ json copy '#/foo/1' --target='#/foo/2' < doc.json
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 move will remove the value at a specified location and it will add the value to the target location:
$ json move '#/foo/2' --target='#/foo/1' --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json move '#/foo/2' --target='#/foo/1'
$ json move '#/foo/2' --target='#/foo/1' --document-file=doc.json
$ json move '#/foo/2' --target='#/foo/1' < doc.json
json remove will remove the value at a specified location:
$ json remove '#/foo/1' --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json remove '#/foo/1'
$ json remove '#/foo/1' --document-file=doc.json
$ json remove '#/foo/1' < doc.json
json replace will replace the value at a specified location with given fragment:
$ json replace '#/foo/1' --fragment-file=fragment.json --document-json='{"foo": ["bar", "baz"]}'
$ echo '{"foo": ["bar", "baz"]}' | json replace '#/foo/1' --fragment-file=fragment.json
$ json replace '#/foo/1' --fragment-file=fragment.json --document-file=doc.json
$ json replace '#/foo/1' --fragment-file=fragment.json < 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.