Automated Tagbag and Pairbag Data Processing

📅 2025-09-17 — Session: Automated Tagbag and Pairbag Data Processing

🕒 10:50–11:30
🏷️ Labels: Automation, Data Processing, Python, Bash, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM

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.