Enhanced Instagram Data Parsing and QA

• Day: 2025-10-12
• Time: 11:15 to 12:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Instagram, Python, Data Parsing, Makefile, CSV, QA

Description

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.

Evidence

• source_file=2025-10-12.sessions.jsonl, line_number=3, event_count=0, session_id=a061ab877e92ce60577dedbc3baa2414b983d727f1e72810aa55a01a684244f3
• event_ids: []