Refactored Evaluator Classes and Debugged API Errors

📅 2024-02-19 — Session: Refactored Evaluator Classes and Debugged API Errors

🕒 19:15–20:20
🏷️ Labels: Code Review, Debugging, Python, Evaluator, Logging
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal:

The session aimed to review and enhance the Evaluator classes, focusing on debugging API errors and improving code structure and logging for better diagnostics.

Key Activities:

• Conducted a detailed code review of the Evaluator classes, identifying necessary corrections for functionality and extensibility.
• Debugged an API error in the Evaluator40 class related to a null value in the ‘content’ field, using a systematic approach to verify input values and ensure valid prompt construction.
• Reviewed the implementation of exercise_content in Evaluator classes, suggesting checks and logs for diagnosing content-related issues.
• Proposed steps for implementing checks and logs in the construct_prompt function and evaluate calls to enhance data handling diagnostics.
• Diagnosed issues with the exercise_content variable handling, suggesting logging improvements for better diagnostics.
• Addressed conceptual and technical issues in the Evaluator35 class, recommending making Evaluator an abstract base class and providing code examples for better structure.
• Enhanced debugging processes by adding logging statements in Python functions to track execution flow and capture errors.
• Resolved code inconsistency related to exercise_id and filename in the get_exercise_content function.

Achievements:

• Improved the structure and validation of the Evaluator classes.
• Enhanced debugging capabilities through systematic logging and error handling improvements.

Pending Tasks:

• Implement the suggested changes in the Evaluator classes and test for effectiveness.
• Further refine logging strategies to ensure comprehensive diagnostics.