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Hong Kong HKQR FPS Code generation for Python

Project description

hkqr python

hkqr python is a python package for generating the data for Hong Kong Faster Payment System (FPS) which is a standard by Hong Kong Interbank Clearing Limited. Detail standards is available at https://fps.hkicl.com.hk/eng/fps/merchants/qr_code.php

The hkqr python package only deals with:

  • Generating the string data of the QR Code. You are free to use any QR code libraries to generate the graphics on your chosen frontends.
  • Currently support the generation QR Code with your Merchant ID with price and reference ID.

Running hkqr in your Python program

Supposed your Merchant ID is 999999999999,
and you would like to charge an amount of 100
with reference ID QR12345:

from hkqr import HKQR
hkqr = HKQR('999999999999')
qrcode = hkqr.create_hkqr_code( 100, reference_id="QR12345")

The Merchant ID can be account number assigned by your FPS provider, phone number or e-mail.

Make sure you test your code!


Terms & Conditions

Please read these terms and conditions carefully before using hkqr python. By using this software, you agree to be bound by these terms and conditions.

Acceptance of Terms By using hkqr python, you acknowledge that you have read, understood, and agreed to be bound by these terms and conditions. If you do not agree with any part of these terms and conditions, please refrain from using the software.

No Warranty hkqr python is provided "as is," without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose, and non-infringement. The developer(s) of [Your Open Source Python Package] make no warranty that the software will meet your requirements or that it will be error-free, reliable, or compatible with your operating system or other software.

Limitation of Liability In no event shall the developer(s) of hkqr python be liable for any damages, including but not limited to direct, indirect, special, incidental, or consequential damages or losses arising out of the use or inability to use the software, even if advised of the possibility of such damages. You assume all risks associated with the use of [Your Open Source Python Package].

Indemnification You agree to indemnify, defend, and hold harmless the developer(s) of hkqr python from and against any claims, liabilities, damages, losses, or expenses, including attorney's fees, arising out of your use or misuse of the software or violation of these terms and conditions.

Modification and Distribution You are allowed to modify and distribute hkqr python in accordance with the applicable open source licenses, provided that you include a copy of these terms and conditions with your distribution. However, you may not use the name of the developer(s) or [Your Open Source Python Package] to endorse or promote your modified version without prior written permission.

Governing Law These terms and conditions shall be governed by and construed in accordance with the laws of Hong Kong, the United States of America and United Kingdom. Any legal action or proceeding arising out of or relating to these terms and conditions shall be exclusively brought in the courts of [Your Jurisdiction].

Entire Agreement These terms and conditions constitute the entire agreement between you and the developer(s) of hkqr python and supersede all prior or contemporaneous communications and proposals, whether oral or written, relating to the software.

By using hkqr python, you acknowledge that you have read, understood, and agreed to these terms and conditions. If you do not agree with any part of these terms and conditions, please refrain from using the software.

hkqr python is an open source project. For more information, please visit https://github.com/pulsely/hkqr


Copyright and license

The hkqr python is written by Pulsely https://www.pulsely.com/
GPL License

Copyright 2023 Pulsely

Project details


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Source Distribution

hkqr-0.1.0.tar.gz (19.2 kB view hashes)

Uploaded Source

Built Distribution

hkqr-0.1.0-py3-none-any.whl (19.6 kB view hashes)

Uploaded Python 3

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