📅 2024-12-02 — Session: Integrated RabbitMQ with MongoDB for Email Automation
🕒 03:10–06:10
🏷️ Labels: Rabbitmq, Mongodb, Email Automation, Python, Workflow
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim was to integrate RabbitMQ with MongoDB for enhanced email automation and processing workflows.
Key Activities
- Handling Duplicate Key Errors: Implemented unique identifiers for emails to avoid duplicate key errors in MongoDB.
- ObjectId Serialization: Developed solutions for serializing MongoDB ObjectId in Python for JSON compatibility.
- Middle Layers Processing: Designed and implemented middle layers in the email automation pipeline for task enrichment and event parsing.
- RabbitMQ Integration: Integrated RabbitMQ for workflow orchestration, including queue design and implementation of publishers and consumers.
- Troubleshooting and Management: Addressed RabbitMQ connection issues and installed management tools like
rabbitmqctl. - Smart Gatekeeper Enhancements: Planned enhancements for the Smart Gatekeeper Agent to improve email classification and metadata extraction.
Achievements
- Successfully integrated RabbitMQ with MongoDB, enabling robust email processing workflows.
- Enhanced the Smart Gatekeeper Agent for better email classification and metadata extraction.
- Resolved critical serialization and connection issues, ensuring smooth operation of the automation pipeline.
Pending Tasks
- Further refine the middle-layer agent schema for improved workflow automation.
- Develop user interfaces for monitoring RabbitMQ and MongoDB interactions using tools like Flask and Node-RED.