📅 2025-10-12 — Session: Enhanced Instagram Data Parsing and QA
🕒 11:15–12:45
🏷️ Labels: Instagram, Python, Data Parsing, Makefile, CSV, QA
📂 Project: Dev
Session Goal
The session aimed to address multiple issues related to Instagram data parsing, Makefile directory handling, and CSV quality assurance.
Key Activities
- Makefile Fixes: Implemented subshell usage in Makefile to prevent directory changes from affecting subsequent commands. Updated Python helper function for CSV processing.
- Instagram Scraper Improvements: Enhanced profile extraction by refining regex patterns to avoid misidentification of timestamps as display names. Improved display name extraction using thread headers and HTML parsing.
- Legacy Code Standardization: Standardized naming conventions in legacy code while maintaining backward compatibility through shims.
- CSV Quality Assurance: Conducted a structured QA routine for CSV files using pandas, focusing on schema verification and consistency checks.
Achievements
- Successfully updated Makefile and Python scripts to handle directory changes effectively.
- Improved accuracy in Instagram profile data extraction and display name handling.
- Standardized legacy code for better maintainability.
- Established a comprehensive QA routine for CSV files.
Pending Tasks
- Further testing of the Instagram data parsing logic to ensure robustness under various data scenarios.