📅 2024-12-06 — Session: Enhanced Job Posting Processing Workflow
🕒 16:35–16:50
🏷️ Labels: Rabbitmq, JSON, Error Handling, Mongodb, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to enhance the job posting processing workflow by addressing JSON formatting errors and improving message handling in RabbitMQ and MongoDB environments.
Key Activities
- Developed a structured workflow for processing job postings from a RabbitMQ queue, including message consumption, enrichment, and storage in MongoDB.
- Resolved JSON formatting errors in RabbitMQ messages by verifying message formats, implementing logging, and fixing publisher issues.
- Debugged RabbitMQ message consumption issues focusing on JSON decoding, serialization, and error handling.
- Addressed JSON formatting issues, specifically handling single quotes and non-JSON-compliant elements like ObjectId.
- Enhanced the AI process and filter function for job postings by improving logging, adding dynamic checks for processed messages, and implementing category-based routing.
Achievements
- Successfully implemented a robust workflow for job posting processing integrating RabbitMQ and MongoDB.
- Improved error handling and logging mechanisms for better debugging and message processing.
Pending Tasks
- Further testing and validation of the enhanced workflow in a production environment to ensure stability and performance.