Skip to main content

Nida

Unofficial package for fetching users information based on National ID Number made by kalebu

Releases Downloads Downloads Downloads License: MIT

Installation

You can install it directly or using pip

Here how to install directly

git clone https://github.com/Kalebu/Nida
cd Nida
Nida -> python setup.y install

Here how to install from pip

pip install nida

Usage

To fetch user information based on ID number do this;

>>> from nida import load_user
>>> user_detail = load_user(national_id='XXXXXXXXX')
>>> print(user_detail)
user
{'Nin': 'XXXXXX', 'Firstname': 'XXXXXX', 'Middlename': 'XXXXXX', 'Surname': 'XXXXXX', 'Othernames': 'XXXXXX', 'Sex': 'XXXXXX', 'Dateofbirth': 'XXXXXX', 'Residentregion': 'XXXXXX', 'Residentdistrict': 'XXXXXX', 'Residentward': 'XXXXXX', 'Residentvillage': 'XXXXXX', 'Residentstreet': 'XXXXXX', 'Residentpostcode': 'XXXXXX', 'Permanentregion': 'XXXXXX', 'Permanentdistrict': 'XXXXXX', 'Permanentward': 'XXXXXX', 'Permanentvillage': 'XXXXXX', 'Permanentstreet': 'XXXXXX', 'Birthcountry': 'XXXXXX', 'Birthregion': 'XXXXXX', 'Birthdistrict': 'XXXXXX', 'Birthward': 'XXXXXX', 'Nationality': 'XXXXXX', 'Phonenumber': 'XXXXXX', 'Maritalstatus': 'XXXXXX', 'Occupation': 'XXXXXX', 'Primaryschooleducation': 'XXXXXX', 'Primaryschooldistrict': 'XXXXXX', 'Primaryschoolyear': 'XXXXXX', 'Photo': 'XXXXXX', 'Signature': 'XXXXXX', 'Nationalidnumber': 'XXXXXX', 'Lastname': 'XXXXXX'}

You can access user infromation by using keys and attributes just as shown below;

>>> user_detetail['Firstname']
'XXXXXX'
>>> user_detail.get('Middlename')
'XXXXXX'
>>> user_detail.Lastname
'XXXXXX'

Image and Signature are currently not supported (Depreciated !!)

National ID Photo and Signature are auto converted into PIL Images and you can easily save just as shown below;

>>> user_detail.Photo.save('National_ID.png')
>>> user_detail.Signature.save('Signature.png')

If you want the data to be in the same from an API without any side effect preprocessing do this instead while loading user;

>>> user_detail = load_user('xxxxxxxxxx', json = True)
>>> print(user_detail)
{
    ....
}

Give it star

Did you find this repository useful to you ? Well then give it a star so as more people can get to know about it;

Issues

Are you facing any issue with usage of the package, just raise an issue and I looking to fixing it as soon as I can.

Contributions

If there is anything yould would like to add warmly welcome, Just fork it

Disclaimers

This is not an official package, therefore I'm not responsible for any misinformation or misuse of the package of any kind !!!

Credits

All the credits to Kalebu and StackOverflow comment from dbrax

Metadata

Release files for nida 0.1.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for nida 0.1.7
File Interpreter ABI Platform
nida-0.1.7-py3-none-any.whl Python 3 none any Details

Release files / nida-0.1.7-py3-none-any.whl

Download URL nida-0.1.7-py3-none-any.whl
Size 3.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
6326f34da19327ed2f0ab578d0bf3d5f56324d9ac6ad521a445d30b87fb385d2
BLAKE2b-256 checksum
How to use checksums
ca8d35b0cc59e481231fb644ea3c73538cf4041ac598d1376a5e68efabe94718
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.10

Security for nida 0.1.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page