Enhanced Election Data Pipeline with Logging

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Enhanced Election Data Pipeline with Logging

  • Day: 2025-10-26
  • Time: 15:00 to 16:10
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Data Processing, Election Data, Logging, Pipeline, Error Handling

Description

Session Goal

The session aimed to enhance the election data processing pipeline by implementing deterministic data normalization, robust error handling, and structured logging.

Key Activities

  1. Data Normalization Script: Developed a Python script to normalize election data with deterministic behavior, ensuring schema compliance and loud error handling.
  2. Dimension Table Script: Created a script to build dimension tables from normalized CSV data, ensuring name harmonization and ID stability.
  3. Election Facts Script: Designed a script to process election data into facts, enforcing data integrity and optional Parquet partitioning.
  4. Pipeline Contract Enhancement: Reviewed and recommended improvements for pipeline contracts, focusing on configuration and normalization steps.
  5. Ingestion and Extraction Improvements: Enhanced data ingestion and extraction processes with explicit schema definitions and provenance tracking.
  6. CSV Ingestion Script: Developed a robust script for ingesting and deduplicating election result CSVs.
  7. Pipeline Scripts Overview: Outlined a series of scripts for pipeline automation, detailing commands and validation checks.
  8. Structured Logging Implementation: Implemented structured logging for file ingestion processes, handling duplicates and maintaining a manifest.
  9. Consistent Logging Setup: Established a consistent logging setup across Python pipelines using a YAML configuration.
  10. Package Import Path Solutions: Explored solutions for package import path issues in Python scripts.

Achievements

  • Successfully implemented deterministic normalization and robust error handling in data processing scripts.
  • Enhanced the reliability and integrity of the election data pipeline with structured logging and improved contracts.

Pending Tasks

  • Further testing of the logging setup in diverse pipeline scenarios.
  • Review and optimization of package import paths for broader compatibility.

Evidence

  • source_file=2025-10-26.sessions.jsonl, line_number=2, event_count=0, session_id=f2f019fd71a5436afc9a36e90021a38e8d0807b024a9123954e7fb6a9736e71b
  • event_ids: []

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