Add monthly featured developer showcase

[Aashish-Jha-11]

Implements issue #122 - Clean implementation from latest main.

What's Changed:

• Engagement scoring algorithm (followers 40%, stars 30%, repos 15%, sponsors 10%, activity 5%)
• Featured user section with gradient banner
• Auto-generates featured.json during fetch
• First featured: Sindresorhus (score: 294,003)

Files: fetch.py, generate_featured.py (new), layouts/layout.html, docs/styles.css, docs/script.js, docs/featured.json

Tested: ✅ Python compiles, responsive design, existing features preserved

[gemini-code-assist]

Summary of Changes

Hello @Aashish-Jha-11, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request introduces a significant new feature: a monthly featured developer showcase. It encompasses both backend logic for selecting and generating the featured user's data based on an engagement score, and frontend components to beautifully display this information on the website. The goal is to highlight active and influential developers, enhancing user engagement and providing a dynamic element to the site.

Highlights

• Monthly Featured Developer Showcase: Introduces a new section to highlight a "Featured Developer of the Month" on the website, complete with their profile details, stats, and top languages.
• Engagement Scoring Algorithm: Implements a Python-based algorithm to calculate an engagement score for developers, considering followers (40%), stars (30%), repositories (15%), sponsors (10%), and recent activity (5%).
• Automated Featured User Selection: The fetch.py script now automatically selects the top-scoring developer and generates a featured.json file, ensuring the featured user is always up-to-date.
• Dedicated Regeneration Script: A new generate_featured.py script allows for standalone regeneration of the featured.json file using existing cached user data, without needing to re-fetch all user data.
• Frontend Integration and Styling: The frontend (docs/script.js, layouts/layout.html, docs/styles.css) has been updated to fetch and display the featured user data in a visually appealing section with a gradient banner and responsive design.

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[deepsource-io]

Here's the code health analysis summary for commits df55d45..f437f49. View details on DeepSource ↗.

Analysis Summary

Analyzer	Status	Summary	Link
Secrets	✅ Success		View Check ↗
Python	✅ Success	🎯 2 occurences resolved	View Check ↗
JavaScript	✅ Success		View Check ↗

---

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[gemini-code-assist]

Code Review

This pull request introduces a monthly featured developer showcase, which is a great addition. The implementation includes a scoring algorithm, a new UI section, and scripts to generate the featured user data. The concurrent data fetching in initializeApp is a good performance improvement.

My review focuses on improving the Python code's structure and robustness. I've pointed out several instances of local imports that should be moved to the top of the file per PEP 8, a case of code duplication between two scripts that can be refactored, the use of 'magic numbers' that should be constants, and an opportunity to make error handling more specific. In the JavaScript, I've suggested a safer way to clear DOM elements. These changes will enhance the code's maintainability and adherence to best practices.

[BaseMax]

Please fix the following issues as well.

js:

It is considered a best practice to avoid the use of any console methods in JavaScript code that will run on the browser.

NOTE: If your repository contains a server side project, you can add "nodejs" to the environment property of analyzer meta in .deepsource.toml. This will prevent this issue from getting raised. Documentation for the analyzer meta can be found [here](https://docs.deepsource.com/docs/analyzers-javascript#meta). Alternatively, you can silence this issue for your repository [as shown here](https://deepsource.com/blog/releases-issue-actions).

If a specific console call is meant to stay for other reasons, you can add [a skipcq comment](https://docs.deepsource.com/docs/issues-ignore-rules#silencing-a-specific-issue) to that line. This will inform other developers about the reason behind the log's presence, and prevent DeepSource from flagging it.

Usually, console methods are only used for debugging, and can leak internal info to the client. Removing the console call will fix this issue.

---

python:

Formatting the message manually before passing it to a logging call does unnecessary work if logging is disabled. Consider using the logging module's built-in formatting features to avoid that.

If your logging level is set to "WARNING", but the logging call is:

logging.debug("Data: %s", data)
In the above example, there will be no logging as the level debug is below warning. The conversion of the data object to a string will be skipped by the logging module resulting in improved performance.

logging.debug(f"Data: {data}")
In the code shown above, the conversion of the data object to a string will happen regardless of whether the message is logged or not (which is based on the log level).

Bad practice
import logging
import inspect
logging.basicConfig(level=logging.INFO)
logging.debug(f"Entered function {inspect.stack[0][3]}"))
Recommended
import logging
import inspect
logging.basicConfig(level=logging.INFO)
logging.debug("Entered function %s", inspect.stack[0][3])

[BaseMax]

[BaseMax]

Fully ready?

[Aashish-Jha-11]

@BaseMax Yes

[BaseMax]

/gemini review

[gemini-code-assist]

Code Review

This pull request introduces a 'Featured Developer of the Month' showcase. It adds a new scoring algorithm to select a featured user, generates a featured.json file with their data, and displays it in a new UI section on the main page. The changes are well-structured, but there are opportunities for improvement in the Python scripts regarding code duplication, module structure, and adherence to PEP 8 guidelines for imports. The new JavaScript function for rendering the featured user could also be refactored for better maintainability.

[BaseMax]

Looks good, asking gemini to check it again.

[BaseMax]

Please finish all of above feedback as well and then tag @jbampton, he will take care and merge it.
Best

[BaseMax]

LGTM