Refactored Notebook Aggregation Script

📅 2024-10-04 — Session: Refactored Notebook Aggregation Script

🕒 19:45–20:55
🏷️ Labels: Python, Jupyter, Notebook, Aggregation, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary aim of this session was to update and refine the Python script used for aggregating Jupyter notebooks by consigna, ensuring efficient processing without duplication and enhancing the debugging process.

Key Activities

• Updated the Python script to aggregate responses from multiple groups into single notebooks for each consigna, removing the previous memory cap logic.
• Troubleshot duplication issues in the notebook processing script, ensuring proper segmentation by ‘Consigna’ markers.
• Added verbose logging to the aggregate_and_save_consignas function for better debugging.
• Outlined a plan for processing Jupyter notebooks, focusing on handling _nout versions to avoid duplication and capturing outputs.
• Refined the consigna splitting logic to improve boundary detection and metadata handling.
• Addressed a client-side exception error in the Diffchecker application related to ‘_nout.ipynb’ files.
• Fixed notebook segmentation issues between Consigna 2 and 3.
• Created a new directory structure for group consignas, saving each as a separate Jupyter notebook file.

Achievements

• Successfully updated the notebook aggregation script to handle consignas more effectively.
• Resolved duplication and segmentation issues, improving the overall processing logic.
• Enhanced the debugging capabilities with verbose logging.

Pending Tasks

• Further testing of the updated script in different environments to ensure robustness.
• Continuous monitoring for any new issues that may arise with additional data inputs.