- Added `alwaysApply: true` to `tracker.mdc` to enforce consistent application of rules.
- Updated `_docs/_autopilot_state.md` to reflect the current task status as `in_progress` and adjusted the sub-step to `1 — Gather Feature Description`.
These changes enhance the clarity and consistency of task management and tracking within the project.
- Delete src/augmentation.py (dead code with broken processed_dir refs after AZ-168)
- Remove dead Augmentator import from manual_run.py
- Move all 5 refactoring tasks from todo/ to done/
- Update autopilot state: Step 7 Refactor complete, advance to Step 8 New Task
- Strengthen tracker.mdc: NEVER use ADO MCP
Made-with: Cursor
- Updated `.gitignore` to remove committed test fixture data exclusions.
- Increased batch size in `config.test.yaml` from 4 to 128 for training.
- Simplified directory structure in `config.yaml` by removing unnecessary data paths.
- Adjusted paths in `augmentation.py`, `dataset-visualiser.py`, and `exports.py` to align with the new configuration structure.
- Enhanced `annotation_queue_handler.py` to utilize the updated configuration for directory management.
- Added CSV logging of test results in `conftest.py` for better test reporting.
These changes streamline the configuration management and enhance the testing framework, ensuring better organization and clarity in the project.
- Modified `.gitignore` to include test fixture data while excluding test results.
- Updated `config.yaml` to change the model from 'yolo11m.yaml' to 'yolo26m.pt'.
- Enhanced `.cursor/rules/coderule.mdc` with additional guidelines for test environment consistency and infrastructure handling.
- Revised autopilot state management in `_docs/_autopilot_state.md` to reflect current progress and tasks.
- Removed outdated augmentation tests and adjusted dataset formation tests to align with the new structure.
These changes streamline the configuration and testing processes, ensuring better organization and clarity in the project.
- 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