Refactored data pipeline and script updates

• Day: 2025-05-28
• Time: 06:40 to 07:05
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Modular Architecture, Data Retrieval, Python, Script Automation, Data Processing

Description

Session Goal

The session aimed to update and refactor data retrieval and processing scripts to enhance modularity, maintainability, and functionality.

Key Activities

• Updated a data retrieval script to access a new dataset structure, eliminating the need for HTML scraping and organizing downloadable files into categories.
• Proposed a modular architecture for a linear exploratory notebook, focusing on reusability and workflow automation.
• Suggested scripts in the scripts/ directory for downloading, extracting ZIP files, and exporting data from SQLite to CSV with simplicity and functionality.
• Evaluated the download.py script for adherence to the Single Responsibility Principle, improving modularity.
• Compared extract_zip.py with older functions, noting improvements in modularity and batch processing.
• Reviewed scripts for exporting SQLite data to CSV, ensuring they replicate notebook functionalities and suggesting improvements.

Achievements

• Successfully updated and proposed scripts that enhance data processing workflows.
• Improved script modularity and adherence to software design principles.

Pending Tasks

• Implement suggested improvements for the SQLite to CSV export scripts to adapt to data structure changes.

Evidence

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• event_ids: []