Refactored Data Processing and Export Scripts

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📅 2025-05-28 — Session: Refactored Data Processing and Export Scripts

🕒 07:15–07:40
🏷️ Labels: CI/CD, Data Pipeline, Python, Export Csv, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The main goal of this session was to enhance and troubleshoot various components of data processing and export scripts.

Key Activities

  • Local Testing for CI/CD Pipeline: Conducted local testing of a data processing pipeline to ensure deterministic behavior before deployment in GitHub CI/CD.
  • Disk Usage Analysis: Utilized Bash commands to analyze disk usage for effective resource management.
  • Script Modification: Proposed and partially implemented modifications to a Python download script, incorporating logic to exclude certain file types and sizes.
  • Onboarding Guide Creation: Developed an onboarding guide for a public data ingestion pipeline, focusing on automation and reproducibility.
  • CSV Export Script Overview: Reviewed and documented the export_csv.py script, which facilitates data extraction from SQLite to CSV.
  • Error Diagnosis: Diagnosed a synchronization error in the CSV export script due to missing database columns and proposed a dynamic extraction approach.

Achievements

  • Successfully tested the local CI/CD pipeline setup.
  • Improved understanding of disk usage management.
  • Enhanced the download script with file exclusion logic.
  • Created a comprehensive onboarding guide for data ingestion.

Pending Tasks

  • Complete the implementation of the file exclusion logic in the download script.
  • Resolve the synchronization error in the CSV export script by updating the database schema or script logic.

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