Refactored and Organized Data Pipeline Architecture

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Refactored and Organized Data Pipeline Architecture

  • Day: 2026-03-10
  • Time: 08:15 to 08:55
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Data Pipeline, Refactoring, Jupyter Notebooks, Project Organization, Version Control

Description

Session Goal

The session aimed to refactor and organize the data pipeline architecture, focusing on improving clarity, reliability, and efficiency in data processing and output generation.

Key Activities

  • File Handling and Analysis: Imported necessary libraries and listed Jupyter Notebook files, summarizing their contents and printing cell contents for review.
  • Pipeline Overview: Analyzed a synthetic poverty estimation pipeline across five Jupyter notebooks, detailing roles, dependencies, and workflow.
  • Refactoring Plan: Proposed a structured refactor plan for notebook architecture and artifact management, identifying weaknesses and suggesting improvements.
  • Project Directory Strategy: Developed a strategic approach for restructuring the project repository using YAML configuration, emphasizing separation of core logic and execution environments.
  • Directory Setup: Created a directory structure and essential files for the ‘indice-pobreza-uba-v2’ project.
  • Import Resolution: Resolved Python import issues by modifying the Makefile to include ‘src’ in the PYTHONPATH.
  • Migration Strategy: Outlined a structured migration plan for the codebase, ensuring preservation of existing logic while transitioning to a new structure.
  • Version Control: Implemented a version control strategy for a clean-slate repository, including branch creation and commit structure.

Achievements

  • Successfully outlined a comprehensive refactor plan for the data pipeline architecture.
  • Developed a clear strategy for project directory organization and version control.
  • Resolved import issues, enhancing the development workflow.

Pending Tasks

  • Execute the proposed refactor plan and migration strategy.
  • Implement the directory structure and YAML configuration in the actual environment.
  • Continue monitoring and adjusting the version control strategy as needed.

Evidence

  • source_file=2026-03-10.sessions.jsonl, line_number=2, event_count=0, session_id=822ee6cd4611f39bfc829d324048eb742801bab778def9f85dc1ff8cdec513cb
  • event_ids: []

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