- Changed the directory structure for task specifications to include a dedicated `todo/` folder within `_docs/02_tasks/` for tasks ready for implementation.
- Updated references in various skills and documentation to reflect the new task lifecycle, including changes in the `implementer` and `decompose` skills.
- Enhanced the README and flow documentation to clarify the new task organization and its implications for the implementation process.
These updates improve task management clarity and streamline the implementation workflow.
- 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.
- Introduced `ApiClient` for handling API interactions, including file uploads and downloads.
- Implemented `CDNManager` for managing CDN operations with AWS S3.
- Added `Augmentator` class for image augmentation, including bounding box corrections and transformations.
- Created utility functions for annotation conversion and dataset visualization.
- Established a new rules file for sound notifications during human input requests.
These additions enhance the system's capabilities for data handling and user interaction, laying the groundwork for future features.
Simplify autopilot state file to minimal current-step pointer; add execution safety rule to cursor-meta; remove Completed Steps/Key Decisions/Retry Log/Blockers from state template and all references.
- 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