Enhanced elecciones-ARG data pipeline with robust Makefile

2 min read

📅 2025-10-26 — Session: Enhanced elecciones-ARG data pipeline with robust Makefile

🕒 21:30–22:30
🏷️ Labels: Data Pipeline, Makefile, Python, QA, Automation
📂 Project: Dev

Session Goal

The session aimed to enhance the elecciones-ARG data pipeline by implementing robust Makefile configurations and improving data processing scripts.

Key Activities

  • Developed a detailed runbook for setting up and executing the elecciones-ARG data pipeline, including prerequisites and troubleshooting tips.
  • Enhanced the data processing runbook with recommendations for ID stability, deduplication, and data contracts.
  • Implemented QA checks in the 70_qa_checks.py script to handle unknown keys and conservation mismatches.
  • Created a structured Makefile for managing the data pipeline, including commands for running stages and resetting QA baselines.
  • Addressed Makefile compatibility issues with Bash, ensuring proper logging and execution.
  • Provided solutions for Python’s buffered stdout in Makefile to ensure live log streaming.
  • Improved CSV processing with enhanced logging and deduplication.
  • Analyzed logs for the data processing pipeline, identifying issues and providing fixes for logging redundancy and manifest entries.

Achievements

  • Successfully created and updated Makefiles for efficient pipeline management.
  • Implemented robust QA checks and improved logging mechanisms.
  • Enhanced data processing scripts for better performance and reliability.

Pending Tasks

  • Further optimization of the data pipeline’s performance.
  • Continuous monitoring and adjustment of logging mechanisms to avoid redundancy.
  • Final validation of all implemented changes in a production environment.

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