02 August 2016   0 comments   Python


Powered by Fusion×

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": [
    "properties": {
        "name": {
            "type": "string"
        "sex": {
            "type": "string"
        "title": {
            "type": "string"

Sample data structure (sample.json)

    "name": "Peter",
    "sex": "male",
    "email": "peterbe@example.com",


>>> 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.


Thank you for posting a comment

Your email will never ever be published

Related posts

Premailer 3.0.0 - classes kept by default 07 June 2016
How to identify/classify what language a piece of text is 09 August 2016
Related by Keyword:
Fastest Redis configuration for Django 11 May 2017
Cope with JSONDecodeError in requests.get().json() in Python 2 and 3 16 November 2016
Gzip rules the world of optimization, often 09 August 2014
Migration of Postgres 9.2 to 9.3 with Homebrew and json_enhancements 30 April 2014
From Postgres to JSON strings 12 November 2013
Related by Text:
When to __deepcopy__ classes in Python 14 March 2012
Mocking DBRefs in Mongoose and nodeunit 14 April 2011
From Postgres to JSON strings 12 November 2013
What stumped me about AngularJS 12 May 2013
Gzip rules the world of optimization, often 09 August 2014