python-objectifier 1.5

objectifier

objectifier

Installation: pip install python-objectifier

from objectifier import convert_json_to_object

test_dict = {
        'name': 'Deckow-Crist',
        'catchPhrase': 'Proactive didactic contingency',
        'bs': 'synergize scalable supply-chains'
        }

dict_as_object = convert_json_to_object(test_dict)
dict_as_object.name
> 'Deckow-Crist'

'catchPhrase' in dict_as_object # Retains all original dictionary methods
> True

test_list = [
    {
        'id': 1,
        'name': 'Leanne Graham',
        'username': 'Bret',
        'email': '[e-mail]',
        'address': {
            'street': 'Kulas Light',
            'suite': 'Apt. 556',
            'city': 'Gwenborough',
            'zipcode': '92998-3874',
            'geo': {
                'lat': '-37.3159',
                'lng': '81.1496'
            }
        },
        'phone': '1-770-736-8031 x56442',
        'website': 'hildegard.org',
        'company': {
            'name': 'Romaguera-Crona',
            'catchPhrase': 'Multi-layered client-server neural-net',
            'bs': 'harness real-time e-markets'
        }
    },
    {
        'id': 2,
        'name': 'Ervin Howell',
        'username': 'Antonette',
        'email': '[e-mail]',
        'address': {
            'street': 'Victor Plains',
            'suite': 'Suite 879',
            'city': 'Wisokyburgh',
            'zipcode': '90566-7771',
            'geo': {
                'lat': '-43.9509',
                'lng': '-34.4618'
            }
        },
        'phone': '010-692-6593 x09125',
        'website': 'anastasia.net',
        'company': {
            'name': 'Deckow-Crist',
            'catchPhrase': 'Proactive didactic contingency',
            'bs': 'synergize scalable supply-chains'
        }
    }
]

convert_json_to_object(test_list) # Converts list in place
test_list[0].address.suite
> 'Apt. 556'