Enhanced Python Function for AI Metadata Extraction

📅 2025-03-12 — Session: Enhanced Python Function for AI Metadata Extraction

🕒 21:55–22:35
🏷️ Labels: Python, AI, Code Improvement, Markdown, Jupyter
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary aim of this session was to enhance the implementation of Python functions related to AI exercise metadata extraction and improve the handling of educational content.

Key Activities

• Corrected a Python function to ensure list fields are properly converted to strings before being inserted into an AI prompt.
• Updated the implementation of the draft_exercise function to handle list-based fields and missing values correctly.
• Modified code to return a free-text message response from the AI, maintaining the original syntax and structure.
• Saved parsed exercises as Markdown files using exercise IDs as filenames.
• Converted Markdown files to Jupyter Notebooks using various tools like nbformat, pandoc, and notedown.

Achievements

• Improved clarity and structure of generated problem statements.
• Enhanced the management and editing of exercise files by storing them as Markdown.
• Provided multiple methods for converting Markdown to Jupyter Notebooks, with detailed comparisons.

Pending Tasks

• Further testing of the updated functions to ensure robustness across different datasets.
• Explore additional optimization techniques for the conversion process.