Enhanced INDEC Data Pipeline with Modular Functions

📅 2025-09-09 — Session: Enhanced INDEC Data Pipeline with Modular Functions

🕒 18:25–19:00
🏷️ Labels: Python, Data Pipeline, Modularization, Error Handling, File Management
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance the data pipeline for downloading and organizing INDEC data, focusing on modularizing functions for better maintainability and robustness.

Key Activities

• Implemented a Python function to download and organize INDEC data by year and quarter, handling ZIP/RAR files.
• Modularized the download_quarter function to include size filtering, support for ZIP and RAR formats, and clear messaging.
• Defined Python functions for fetching quarterly data and cleaning up downloaded files, including renaming and removing empty directories.
• Developed a cleanup_download_folder function to normalize the download directory, suggested for integration into cli.py.
• Updated error handling in the download_quarter() function for RAR files to improve pipeline robustness.
• Created a function to convert .dbf files to .txt, managing backups and cleaning up directories.

Achievements

• Successfully modularized the data download and organization functions, improving code clarity and robustness.
• Enhanced error handling for ZIP and RAR file extraction, allowing the pipeline to continue despite extraction issues.
• Provided comprehensive function definitions for data fetching and cleanup, ready for integration.

Pending Tasks

• Integrate the cleanup_download_folder function into the cli.py script after the fetch_range command.
• Test the full data pipeline with the new modular functions to ensure smooth operation.