📅 2025-01-27 — Session: Email Processing and Queue Debugging
🕒 11:10–12:45
🏷️ Labels: Email Processing, Rabbitmq, Debugging, Schema, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary goal of this session was to enhance the email processing workflow and address issues related to JSON parsing in RabbitMQ messages.
Key Activities
- Email Processing Flow Structure: Refined the workflow for processing emails from ingestion to final integration.
- Debugging JSON Parsing: Enhanced the function for debugging JSON parsing in RabbitMQ queues with additional logging.
- Fixing JSON Parsing Issues: Implemented a solution for improperly formatted JSON messages from RabbitMQ, including preprocessing and normalization into a DataFrame.
- Debugging HTML Issues: Addressed missing queue buttons in HTML with frontend and backend updates.
- Queue Data Structures Debugging: Developed a systematic approach for debugging queue data structures.
- Log Analysis: Analyzed logs for task, knowledge, and job posting queues, identifying causes of parsing failures.
- Enqueue Message Function Improvements: Enhanced the RabbitMQ message queuing function with better serialization and error handling.
- Email Processing Checklist: Created a comprehensive checklist for monitoring and debugging the email processing system.
- Schema Exploration and Definition: Explored and defined schemas for various email processing collections in MongoDB.
Achievements
- Improved email processing logic and workflow structure.
- Enhanced debugging capabilities for JSON parsing in RabbitMQ.
- Defined and refined database schemas for email processing.
Pending Tasks
- Further testing of the updated email processing logic and RabbitMQ debugging enhancements.
- Implementation of recommendations from log analysis to improve error handling.
Labels
email processing, RabbitMQ, debugging, schema, automation