Skip to content

Dynamically create Python data classes from JSON schemas

License

Notifications You must be signed in to change notification settings

civichacker/schemamodels

Repository files navigation

Schema Models

PyPI PyPI - Python Version REUSE status

Use this library to turn a JSON Schema into a plain 'ol Python dataclass.

Installation

Install this package using the usual suspects.

pip install schemamodels

Usage

This library only supports JSON schemas of type: object:

    {
        "$id": "https://schema.dev/fake-schema.schema.json",
        "$schema": "http://json-schema.org/draft-07/schema#",
        "title": "fake-schema",
        "description": "Blue Blah",
        "type": "object",
        "properties": {
            "property_a": {
              "default": 5,
              "type": "integer"
            },
            "property_b": {
              "type": "string"
            }
        }
    }
from schemamodels import SchemaModelFactory

schema_string = '..'
my_json_schema = json.loads(schema_string)

factory = SchemaModelFactory()
factory.register(my_json_schema)

Use your new dataclass

from schemamodels import exceptions
from schemamodels.dynamic import FakeSchema

your_data_instance = FakeSchema(property_a=2334)  # OK

with pytest.raises(exceptions.ValueTypeViolation):
  your_data_instance = FakeSchema(property_a="hello")

Why this library exists

Faster than defining dataclasses manually

The class-like syntax of creating dataclasses is a useful way to model a valid JSON schema. This library essentially makes your existing JSON schemas usable as a Python dataclass.

Useable everywhere

Taking the time to construct a plain ol' Pythjon dataclass, ensures widespread utility across of multiple domains of study and applications.

Just-enough validation

The dataclasses are not completely dumb. Every dataclass object that originated from a valid JSON schema, will perform runtime checks on the input you provide it.

These basic checks are performed every time you create a new instance of a generated dataclass:

  • Are the field names correct?
  • Are the required fields present?
  • Does the input match the datatype expectations set forth by the generated dataclass?

License

This codebase is licensed under the GPLv3+ and therefore the use, inclusion, modification, and distribution of this software is governed by the GPL.

To opt-out of the obligations of the GPL, inquire about the commercial license by sending an email to: [email protected].

About

Dynamically create Python data classes from JSON schemas

Topics

Resources

License

Stars

Watchers

Forks

Sponsor this project

 

Contributors 3

  •  
  •  
  •  

Languages