Refactored and Debugged Python CLI and Job Fetching Script

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📅 2025-07-11 — Session: Refactored and Debugged Python CLI and Job Fetching Script

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

Session Goal

The main objective was to diagnose and fix issues related to metadata loading and CLI argument handling in a Python-based job fetching script.

Key Activities

  • Diagnosed pipeline metadata loading issues, identifying missing input_csv fields and providing fixes.
  • Enhanced CLI argument handling to ensure compatibility with existing patterns and introduced error management.
  • Clarified design constraints for pipeline execution, recommending optional --query argument.
  • Refactored CLI argument handling to reduce redundancy and improve metadata management.
  • Debugged script execution failures by capturing standard output and error messages.
  • Refined Python script’s __main__ block for better structure and error handling.
  • Fixed location handling in job search queries to merge with search_term for semantic searching.
  • Corrected query construction in code to enhance functionality by combining search terms and location.
  • Refactored run_remotive_fetch function for consistent query handling.
  • Identified and resolved API query issues in the job fetching script, improving handling of location suffixes.

Achievements

  • Improved CLI and metadata handling in the pipeline execution context.
  • Enhanced error handling and script execution reliability.
  • Optimized query construction and API interaction, leading to more accurate job search results.

Pending Tasks

  • Further testing of the refactored script to ensure robust performance in various scenarios.
  • Consider additional enhancements to streamline the development workflow and error reporting.

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