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create efficent models starting from json schema

Project description


You can use inheritance to create your model:

class User(modeller.Model):
    id = ''
    _schema = {
        'type': 'object',
        'properties': {
            'name': { 'type': 'string' },
            'id': { 'type': 'integer' },
            'age': { 'type': 'integer' },
        'required': [
        # 'additionalProperties': False,

# model will be validated after every instance
me = User(id=01, name='Tommy', surname='Der')

# you can also add additional properties
me.state = 'Italy'




With the schema in types/schema.yaml

    type: string
    type: string
    type: integer
  - name
  - surname
  - age

you can load a model with automatic validation, easy attribute access with dots and no exceptions while trying to access a property defined in the schema.

import yaml
import modeler

schema = yaml.load(open('types/schema.yaml').read())

Model = modeler.make_model(schema=schema,)

Model(name='Tommaso', surname='De Rossi', age=19)


Model validate itself as soon as instantiated, if you want to change this behavior overwrite _on_init method. Model will return None if you try to access a property present in the json schema .properties but not in the object. Model will throw if you try to access a property not present in the object and not in the json schema .properties.

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