Implemented RunManager Class and Refactored Pipeline

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📅 2025-07-10 — Session: Implemented RunManager Class and Refactored Pipeline

🕒 18:45–19:15
🏷️ Labels: Runmanager, Python, Automation, Refactoring, Data Pipeline
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to design and implement a RunManager class to manage runs, paths, outputs, and statuses in a Python-based data processing pipeline. Additionally, the session aimed to refactor existing scripts to integrate this new class and improve the overall architecture.

Key Activities

  • Designed the RunManager class to handle data fetching runs, including methods for checking file existence, reading logs, retrieving outputs, and handling metadata.
  • Generated the RunManager class file located at /utils/run_manager.py, ready for import and use in Streamlit tabs.
  • Proposed and initiated a refactoring of path management in the data pipeline to use sandboxed per-run folders instead of global directories.
  • Evaluated architectural design and outlined integration steps for the RunManager in the data processing application.
  • Refactored the 10_run_full_pipeline.py script to incorporate the RunManager structure, focusing on modularity and run-specific paths.
  • Made final adjustments to the pipeline script, including fixing variable references, storing metadata, and improving logging.
  • Validated the integration of the RunManager and make_run_dir(run_uid) components, suggesting enhancements for error handling.

Achievements

  • Successfully implemented the RunManager class and integrated it into the data processing pipeline.
  • Improved the script’s modularity and path management, enhancing organization and multi-user functionality.

Pending Tasks

  • Minor enhancements for error handling in the RunManager integration.
  • Further UX redesign proposals for the job search application.

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