Diagnosed and Refactored Job Fetching Pipeline

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📅 2025-07-11 — Session: Diagnosed and Refactored Job Fetching Pipeline

🕒 14:45–15:55
🏷️ Labels: Pipeline, Debugging, Metadata, Automation, Job Fetching
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary goal of this session was to diagnose and resolve pipeline failures in the job fetching automation script, particularly focusing on metadata handling and query construction.

Key Activities

  • Diagnosed pipeline failure related to metadata loading and saving.
  • Updated the CLI __main__ block to include metadata fallback mechanisms.
  • Fixed the missing input_csv issue in the metadata.
  • Clarified design constraints for pipeline execution, making --query optional.
  • Refactored CLI argument handling to reduce redundancy and improve metadata compliance.
  • Debugged script execution failures, enhancing error reporting and input handling.
  • Refined the Python script structure for better development workflow.
  • Fixed geographic targeting in job search queries and ensured proper query construction for the Remotive API.

Achievements

  • Successfully diagnosed and resolved the pipeline failure issues.
  • Improved the robustness of the job fetching automation script.
  • Enhanced error handling and input validation for better reliability.

Pending Tasks

  • Further testing of the refactored script to ensure stability and performance.
  • Continuous monitoring of the pipeline to catch any new issues early.

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