Enhanced AI Exercise Metadata and Draft Handling

📅 2025-03-12 — Session: Enhanced AI Exercise Metadata and Draft Handling

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

Session Goal

The session aimed to improve the handling of AI exercise metadata and draft functions within Python scripts, ensuring clarity, proper input management, and effective output formats.

Key Activities

• Corrected Implementation: Improved a Python function to ensure list fields are converted to strings before being used in AI prompts, enhancing clarity.
• Draft Exercise Update: Updated the draft_exercise function to manage inputs correctly from df_exercises, addressing list fields and missing values.
• Free-Text AI Response: Modified code to return free-text responses from AI, maintaining original syntax.
• Markdown File Management: Implemented a method to save exercises as Markdown files using exercise IDs for better management.
• Markdown to Jupyter Conversion: Explored three methods to convert Markdown files to Jupyter Notebooks, providing code snippets and comparisons.

Achievements

• Enhanced clarity and structure in AI-generated problem statements.
• Improved input handling for draft exercises, ensuring robustness.
• Facilitated exercise management through Markdown file storage.
• Provided comprehensive methods for converting Markdown to Jupyter Notebooks.

Pending Tasks

• Further testing and validation of the Markdown to Jupyter conversion methods to ensure compatibility and efficiency across different environments.