Resolved APScheduler and MongoDB integration issues

📅 2024-12-06 — Session: Resolved APScheduler and MongoDB integration issues

🕒 17:20–19:00
🏷️ Labels: Apscheduler, Mongodb, Rabbitmq, Error Handling, Job Processing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to address multiple technical challenges related to APScheduler job scheduling, MongoDB operations, and RabbitMQ queue management.

Key Activities

• APScheduler Fixes: Resolved a TypeError in APScheduler by ensuring functions are passed as callables and using kwargs for arguments.
• MongoDB Operations: Connected to MongoDB and RabbitMQ from the terminal, installed mongosh, removed processed emails, and debugged date field issues.
• RabbitMQ Management: Troubleshot and resolved the PRECONDITION_FAILED error for the job_posting_queue by resetting queue properties.
• Job Processing Automation: Developed a schema for extracting job postings from emails and updated AI prompts for job analysis.

Achievements

• Successfully fixed APScheduler job scheduling errors.
• Established terminal connections to MongoDB and RabbitMQ.
• Implemented solutions for MongoDB date handling and email processing.
• Resolved RabbitMQ queue configuration errors.
• Designed a schema for job opportunity extraction and updated AI prompts.

Pending Tasks

• Further enhancements to job processing automation and data structuring are needed for improved efficiency.
• Additional testing of RabbitMQ queue configurations to prevent future errors.