📅 2025-04-27 — Session: Refactored LeadScreenerAgent and Developed Dogfood Champion Methods
🕒 16:55–18:29
🏷️ Labels: Leadscreeneragent, Dogfood Champion, Python, Automation, Refactoring
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance the architecture of the LeadScreenerAgent and develop robust methods for the Dogfood Champion to improve automation and system management.
Key Activities
- Refactoring LeadScreenerAgent: The LeadScreenerAgent was refactored to align with a clean architecture, incorporating a modular design for better scalability and maintainability.
- Development of Dogfood Champion Methods: Implemented and tested several methods for the Dogfood Champion class, focusing on flow management, usage analysis, and daily reporting.
- Utility Functions: Created utility functions for system management, including JSONL file handling and system run tracking.
- Designing Scheduler and Logging Conventions: Proposed a scalable scheduler design and organized logging and filesystem conventions for Terra.
Achievements
- Successfully refactored the LeadScreenerAgent, improving its design and functionality.
- Developed a comprehensive set of methods for the Dogfood Champion, enhancing its automation capabilities.
- Established a structured approach to logging and system management in Terra.
Pending Tasks
- Integrate real flow content into the Dogfood Champion for complete functionality.
- Continue refining the scheduler design and logging conventions as the system evolves.