Developed and Patched Data Normalization Scripts

• Day: 2025-10-01
• Time: 17:20 to 18:00
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Whatsapp, Instagram, Data Normalization, Python, CSV

Description

Session Goal:

The goal of this session was to develop and patch data normalization scripts for WhatsApp and Instagram exports, converting them into structured CSV files.

Key Activities:

• Developed a self-contained script to normalize WhatsApp exports into four canonical CSV files: threads, messages, handles, and thread participants.
• Patched the WhatsApp normalizer script to address issues such as column collision, DtypeWarnings, and ensuring numeric parsing for timestamps.
• Addressed a pandas merge collision issue in the WhatsApp data normalization script, providing a solution to prevent column clashes and improve data type handling.
• Created a Python script to normalize Instagram message exports into structured CSV files, handling both directory-based JSON files and a single extracted JSON file.

Achievements:

• Successfully developed and patched scripts for WhatsApp and Instagram data normalization.
• Ensured proper deduplication, timestamp conversion, and data type handling in the scripts.

Pending Tasks:

• Integrate additional data channels, such as Email, into the normalization process.
• Extend functionality to handle more complex data sources and formats.

Evidence

• source_file=2025-10-01.sessions.jsonl, line_number=2, event_count=0, session_id=5423aa601a132efa5dc3e33c4c7c4448e0522acdd01ded1058d53e15449a1d7c
• event_ids: []