Refactored data pipeline and script updates

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📅 2025-05-28 — Session: Refactored data pipeline and script updates

🕒 06:40–07:05
🏷️ Labels: Modular Architecture, Data Retrieval, Python, Script Automation, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM

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.

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