Debugged and Enhanced Job Processing System

📅 2025-01-27 — Session: Debugged and Enhanced Job Processing System

🕒 17:05–18:00
🏷️ Labels: Job_Processing, Debugging, Logging, Automation, Python
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to debug and enhance the job posting processing system, focusing on improving the reliability and accuracy of job data handling.

Key Activities:

• Identified logical gaps in the job posting workflow and proposed debugging strategies, including robust logging and validation steps.
• Observed issues with unprocessed job messages and suggested improvements for logging, filtering, and processing reliability.
• Proposed fixes for classification errors and email processing issues to improve system reliability.
• Enhanced the Google Sheets script to prevent duplicate row insertions by refining the logic for identifying new rows.
• Tested the process_job_message function using Python’s unittest framework, including mocking dependencies.
• Debugged a MongoDB script to ensure proper data fetching and processing.
• Set up and debugged the OpenAI API key environment variable for Python scripts.
• Successfully enriched job data for PhD positions using the process_job_message function, ensuring robust logging and data validation.
• Optimized data synchronization between MongoDB and Google Sheets to prevent duplication.

Achievements:

• Improved job processing workflow with enhanced logging and validation.
• Fixed duplicate row issues in Google Sheets integration.
• Validated and enriched job data, ensuring accurate metadata extraction and logging.

Pending Tasks:

• Further refine the classification logic to reduce errors in email processing.
• Continue monitoring the job processing system for any additional issues that may arise.