- Updated SKILL.md for test-run to clarify the use of Docker and added a Docker Suitability Check to ensure proper execution environment.
- Revised SKILL.md for test-spec to include a detailed Docker Suitability Assessment, outlining disqualifying factors and decision-making steps for test execution.
- Adjusted the autopilot state to reflect the current status of test execution as in_progress.
These changes improve the clarity and reliability of the testing process, ensuring that users are informed of potential constraints when using Docker.
- Modified `.gitignore` to reflect the new path for test results.
- Updated `docker-compose.test.yml` to mount the correct test results directory.
- Adjusted `Dockerfile.test` to set the `PYTHONPATH` and ensure test results are saved in the updated location.
- Added `boto3` and `netron` to `requirements-test.txt` to support new functionalities.
- Updated `pytest.ini` to include the new `pythonpath` for test discovery.
These changes streamline the testing process and ensure compatibility with the updated directory structure.
- Replaced module-level path variables in constants.py with a structured Pydantic Config class.
- Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure.
- Fixed bugs related to image processing and model saving.
- Enhanced test infrastructure to accommodate the new configuration approach.
This refactor improves code maintainability and clarity by centralizing configuration management.
Oleksandr Bezdieniezhnykh