Automated Tagbag and Pairbag Data Processing

• Day: 2025-09-17
• Time: 10:50 to 11:30
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Automation, Data Processing, Python, Bash, Debugging

Description

Session Goal

The goal of this session was to automate the extraction and processing of tagbags and pairbags for data analysis, focusing on monthly and daily cohorts.

Key Activities

• Implemented bash commands to extract top-100 tagbags and top-150 pairbags for each month from January to August 2025, with automation using a loop.
• Enhanced the units_select_cmd function in Python to include timestamp parsing and improved reporting of unit spans.
• Updated the units_select_cmd function to utilize the Unit class’s attributes for better filtering and debugging of date bounds.
• Added debugging capabilities to visualize time filtering in unit selection.
• Developed Python commands for slicing time windows to ensure relevant data retention.
• Adjusted pairbag construction to use monthly cohorts, ensuring time span confinement to the desired month.
• Created a comprehensive bash recipe for generating daily tagbag and pairbag digests, divided into four two-month windows for 2025.

Achievements

• Successfully automated the extraction and processing of tagbags and pairbags, improving efficiency and accuracy in data management.
• Enhanced Python functions for better data filtering and debugging capabilities.

Pending Tasks

• Further testing and validation of the automated workflows to ensure robustness and accuracy in various scenarios.

Evidence

• source_file=2025-09-17.sessions.jsonl, line_number=0, event_count=0, session_id=20d0df333f5b4290814b0eeb313f9121273a1d0d89ca62b111600e96e8c63b49
• event_ids: []