📅 2024-12-06 — Session: Enhanced Email Processing and Workflow Automation
🕒 00:45–02:57
🏷️ Labels: Email Processing, Python, Automation, Logging, Workflow
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the email processing pipeline by improving script modularity, correcting configuration files, and integrating workflows with automation tools.
Key Activities
- Refactored a Python script for email processing to enhance modularity and maintainability, focusing on centralized environment variable management and logging.
- Corrected YAML configuration files for better integration with services like Telegram, Google Calendar, and MongoDB.
- Implemented dynamic JSON schema loading for email classification using OpenAI API.
- Corrected syntax errors in JSON schemas to ensure proper functionality.
- Integrated the email processing module with workflow automation, connecting to RabbitMQ and Google Calendar.
- Updated email processing functions to prioritize recent emails and added a limit parameter for processing flexibility.
- Resolved errors in the
fetch_emailsmethod and addressed aModuleNotFoundErrorin Python. - Enhanced logging with conversational styles and configured logging for better debugging and monitoring.
Achievements
- Successfully modularized the email processing script and corrected configuration files.
- Improved email classification with dynamic JSON schema loading and error corrections.
- Achieved seamless integration of email processing with RabbitMQ and Google Calendar workflows.
- Enhanced logging for better monitoring and debugging of automation workflows.
Pending Tasks
- Further testing of the integrated workflows to ensure robustness and efficiency.
- Explore additional enhancements to logging and monitoring based on session insights.