### 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': 'Sincere@april.biz',
'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': 'Shanna@melissa.tv',
'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'
```
Raw data
{
"_id": null,
"home_page": "https://github.com/xjxckk/python-objectifier/",
"name": "python-objectifier",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": null,
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/b7/53/2f065f18f39591be0183cc4cac70ee19af3b90c44470f0d047aeb3efbb0d/python-objectifier-1.6.tar.gz",
"platform": null,
"description": "### objectifier\r\n\r\nInstallation:\r\n`pip install python-objectifier`\r\n\r\n```\r\nfrom objectifier import convert_json_to_object\r\n\r\ntest_dict = {\r\n 'name': 'Deckow-Crist',\r\n 'catchPhrase': 'Proactive didactic contingency',\r\n 'bs': 'synergize scalable supply-chains'\r\n }\r\n\r\ndict_as_object = convert_json_to_object(test_dict)\r\ndict_as_object.name\r\n> 'Deckow-Crist'\r\n\r\n'catchPhrase' in dict_as_object # Retains all original dictionary methods\r\n> True\r\n```\r\n\r\n```\r\ntest_list = [\r\n {\r\n 'id': 1,\r\n 'name': 'Leanne Graham',\r\n 'username': 'Bret',\r\n 'email': 'Sincere@april.biz',\r\n 'address': {\r\n 'street': 'Kulas Light',\r\n 'suite': 'Apt. 556',\r\n 'city': 'Gwenborough',\r\n 'zipcode': '92998-3874',\r\n 'geo': {\r\n 'lat': '-37.3159',\r\n 'lng': '81.1496'\r\n }\r\n },\r\n 'phone': '1-770-736-8031 x56442',\r\n 'website': 'hildegard.org',\r\n 'company': {\r\n 'name': 'Romaguera-Crona',\r\n 'catchPhrase': 'Multi-layered client-server neural-net',\r\n 'bs': 'harness real-time e-markets'\r\n }\r\n },\r\n {\r\n 'id': 2,\r\n 'name': 'Ervin Howell',\r\n 'username': 'Antonette',\r\n 'email': 'Shanna@melissa.tv',\r\n 'address': {\r\n 'street': 'Victor Plains',\r\n 'suite': 'Suite 879',\r\n 'city': 'Wisokyburgh',\r\n 'zipcode': '90566-7771',\r\n 'geo': {\r\n 'lat': '-43.9509',\r\n 'lng': '-34.4618'\r\n }\r\n },\r\n 'phone': '010-692-6593 x09125',\r\n 'website': 'anastasia.net',\r\n 'company': {\r\n 'name': 'Deckow-Crist',\r\n 'catchPhrase': 'Proactive didactic contingency',\r\n 'bs': 'synergize scalable supply-chains'\r\n }\r\n }\r\n]\r\n\r\nconvert_json_to_object(test_list) # Converts list in place\r\ntest_list[0].address.suite\r\n> 'Apt. 556'\r\n```\r\n",
"bugtrack_url": null,
"license": null,
"summary": "objectifier",
"version": "1.6",
"project_urls": {
"Download": "https://github.com/xjxckk/python-objectifier/archive/refs/tags/v0.1.tar.gz",
"Homepage": "https://github.com/xjxckk/python-objectifier/"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "b7532f065f18f39591be0183cc4cac70ee19af3b90c44470f0d047aeb3efbb0d",
"md5": "2d37edc48fccc9ff9482f8fd36ef3854",
"sha256": "61061c96fc34452abdc9a4f2060b0528d601baef5005e35704ac2e79e9ec5b83"
},
"downloads": -1,
"filename": "python-objectifier-1.6.tar.gz",
"has_sig": false,
"md5_digest": "2d37edc48fccc9ff9482f8fd36ef3854",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 2443,
"upload_time": "2024-09-02T13:55:07",
"upload_time_iso_8601": "2024-09-02T13:55:07.675081Z",
"url": "https://files.pythonhosted.org/packages/b7/53/2f065f18f39591be0183cc4cac70ee19af3b90c44470f0d047aeb3efbb0d/python-objectifier-1.6.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-09-02 13:55:07",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "xjxckk",
"github_project": "python-objectifier",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "python-objectifier"
}
JSON
