Enhanced Jupyter Notebook Aggregation and Segmentation

• Day: 2024-10-04
• Time: 19:45 to 20:55
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Jupyter, Notebook, Aggregation, Debugging

Description

Session Goal

The primary goal of this session was to enhance the aggregation and segmentation logic of Jupyter notebooks by consigna, ensuring accurate processing and storage.

Key Activities

• Updated Python Script: Implemented an updated script to aggregate responses from multiple groups into single notebooks, removing previous memory cap logic.
• Troubleshooting: Addressed duplication issues in notebook processing, ensuring proper segmentation by ‘Consigna’ markers.
• Verbose Logging: Added print statements to aggregate_and_save_consignas for better debugging and tracking.
• Processing Plan: Developed a plan to handle _nout versions to avoid duplication and fix group name issues.
• Refinement of Splitting Logic: Improved boundary detection and metadata handling for consigna splitting.
• Code Comparison: Conducted a code review for Diffchecker application to address client-side exception errors.
• Bug Fixes: Corrected segmentation issues between Consigna 2 and 3.
• Directory Structure: Created a new directory structure for consigna files, ensuring standardized naming.

Achievements

• Successfully updated and refined the notebook aggregation and segmentation logic.
• Implemented debugging features for better tracking and error resolution.
• Developed a robust plan for handling notebook versions and directory structures.

Pending Tasks

• Further testing of the refined logic to ensure all edge cases are covered.
• Implementation of additional error handling mechanisms for robustness.

Evidence

• source_file=2024-10-04.sessions.jsonl, line_number=2, event_count=0, session_id=a2889f4208408ca55176e5223e670ba429a51fc40de71cbabb714636b0e26531
• event_ids: []