CodeChef Readme Stats

Similar to what Codeforces Readme stats does.

Requirements

• requests
• beautifulsoup4
• drawsvg
• Flask

Main folders and files structure :-

codechef_readme_stats/
│
├── codechef_data_extractor.py
├── image_gen.py
├── app.py
├── static/
│   ├── One_chef's_hat.png
│   ├── codechef_logo.png
│   └── Chef_not_found.png
├── requirements.txt
└── README.md

Main files :-

1. codechef_data_extractor.py : uses BeautifulSoup to extract data from CodeChef profile static HTML page

2. image_gen.py : Uses drawsvg to generate an svg image and make it self containing and not referencing any other image using base64.

3. app.py : runs a server to generate svg image from imported modules and then convert it to png before serving the user.

How it will look on your system

If valid user exists

![CodeChef Stats](https://codechef-readme-stats.onrender.com/{your_codechef_username}?v=1)

NOTE

Please do not forget to type the section ....?v=1 since its essential force cache refresh in github to display images else sometimes images are not loaded as intended😐 Learnt it the hard way debugging!!!

Assume user is joy2022 so I will type the following :-

For Markdown

![CodeChef Stats](https://codechef-readme-stats.onrender.com/joy2022?v=1)

and for HTML it will be

<img src="https://codechef-readme-stats.onrender.com/joy2022?v=1" alt="something you like to put in here"/>

and output will be :-

Assume if user is maroonrk then output will be

![CodeChef Stats](https://codechef-readme-stats.onrender.com/maroonrk?v=1)

If username does not exists

then it will look something like this as shown below:-

Want to make your badge redirect people to your profile?

Try this:

Markdown Format

[![CodeChef Stats](https://codechef-readme-stats.onrender.com/{your_codechef_username}?v=1)](https://www.codechef.com/users/{your_codechef_username})

or the HTML format

<a href="https://www.codechef.com/users/{your_codechef_username}">
    <img src="https://codechef-readme-stats.onrender.com/{your_codechef_username}?v=1">
</a>

⚠️THE ABOVE HAVE BEEN TESTED IN Python 3.12.4 and 3.11.3 in Conda Environment and all dependencies listed in requirements.txt have been installed via pip.