Last week I made a little library called json-schema-reducer. It's a simple function that takes a JSON Schema and dict
(or a JSON string or a .json
file path), and makes a new dict
that only contains the keys listed in the JSON Schema.
This is handy if you have a JSON Schema which dictates what you can/want to share/publish/save, but you have a data structure that contains keys and values you don't want to share/publish/save.
I built this because there are a couple of projects that can turn data structures into models from a JSON Schema but none that have the ability to reduce stuff from a data structure. Here's an example:
Sample JSON Schema (schema.json)
{ "type": "object", "$schema": "http://json-schema.org/draft-04/schema#", "title": "Sample JSON Schema", "required": [ "name", "sex" ], "properties": { "name": { "type": "string" }, "sex": { "type": "string" } "title": { "type": "string" } } }
Sample data structure (sample.json)
{ "name": "Peter", "sex": "male", "email": "peterbe@example.com", }
Usage
>>> from json_schema_reducer import make_reduced_dict
>>> make_reduced_dict('schema.json', 'sample.json')
{'name': 'Peter', 'sex': 'male'} # Note! No "email" key
The project works in Python 2 and Python 3. See tests.
Also, the function tries to be convenient in that it can accept either a dict
, a JSON string or path to a .json
file.
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