📅 2025-04-27 — Session: Refactored LeadScreenerAgent and Enhanced DogfoodChampion
🕒 16:55–18:29
🏷️ Labels: Refactoring, Dogfoodchampion, Python, Automation, System Design
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to refactor the LeadScreenerAgent to follow clean architecture principles and enhance the DogfoodChampion class for better automation and flow management.
Key Activities
- Refactoring LeadScreenerAgent: The agent was updated to align with the EventProcessorAgent style, focusing on a modular and scalable design.
- Enhancing DogfoodChampion: Implemented methods for daily tracking, flow management, and automation, including
compose_daily_dogfood_report()and a test harness. - Utility Functions: Developed Python utilities for JSONL and file management, and implemented robust error handling in sampling functions.
- System Design: Planned folder structures and logging conventions for scalability in Terra.
Achievements
- Successfully refactored LeadScreenerAgent and implemented a clean version of the
enrich_leadmethod. - Completed full-stack integration of DogfoodChampion, ensuring error-free operation and reporting.
- Established Python utilities and error handling mechanisms to enhance system resilience.
- Designed a scalable folder structure and logging conventions for future growth.
Pending Tasks
- Add real flow content to DogfoodChampion for comprehensive testing and reporting.
- Continue refining the folder structure and logging conventions as Terra evolves.