📅 2024-12-06 — Session: Enhanced RabbitMQ and MongoDB Job Processing
🕒 16:35–16:50
🏷️ Labels: Rabbitmq, Mongodb, JSON, Automation, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance job posting processing workflows using RabbitMQ and MongoDB, focusing on automation and error handling.
Key Activities
- Developed a structured workflow for processing job postings from a RabbitMQ queue, including message consumption, enrichment, and storage in MongoDB.
- Troubleshot JSON formatting errors in RabbitMQ messages, addressing issues like single quotes and non-JSON-compliant elements.
- Debugged message consumption issues, focusing on JSON decoding and error handling.
- Enhanced the
AI_process_and_filter_gatekept_messagesfunction with improved logging and dynamic checks.
Achievements
- Successfully created a robust workflow for job posting processing using RabbitMQ and MongoDB.
- Resolved JSON formatting and message consumption errors, improving the reliability of the system.
Pending Tasks
- Further optimization of error handling mechanisms to ensure seamless message processing.
- Implementation of additional dynamic checks and logging enhancements.