- Implemented comprehensive unit tests for the BuddAI Analytics module, covering fallback statistics calculations.
- Created tests for the FallbackClient to ensure proper escalation to various AI models and handling of missing API keys.
- Developed unit tests for the refactored validator system, validating various hardware and coding standards.
- Established a base validator interface and implemented specific validators for ESP32, Arduino, motor control, memory safety, and more.
- Enhanced the validator registry to auto-discover and manage validators effectively.
- Included detailed validation logic for common issues in embedded systems programming, such as unused variables, safety timeouts, and coding style violations.
- Implemented tests for confidence scoring logic in `test_buddai_confidence.py` and `test_confidence.py`, covering high and low confidence scenarios, escalation thresholds, and validation scoring penalties.
- Created tests for fallback logging functionality in `test_fallback_logging.py`, ensuring fallback prompts are logged correctly and the `/logs` command retrieves log content.
- Developed tests for fallback prompts in `test_fallback_prompts.py`, verifying that specific prompts are used for different models based on confidence levels.
- Generated detailed test reports for multiple test runs, confirming all tests passed successfully.
