- Updated the `Inference` class to replace the `get_onnx_engine_bytes` method with `download_model`, allowing for dynamic model loading based on a specified filename.
- Modified the `convert_and_upload_model` method to accept `source_bytes` instead of `onnx_engine_bytes`, enhancing flexibility in model conversion.
- Introduced a new property `engine_name` to the `Inference` class for better access to engine details.
- Adjusted the `AIRecognitionConfig` structure to include a new method pointer `from_dict`, improving configuration handling.
- Updated various test cases to reflect changes in model paths and timeout settings, ensuring consistency and reliability in testing.
- Updated `.cursor/rules/coderule.mdc` to include new guidelines on maintaining test environments and avoiding hardcoded workarounds.
- Revised state file rules in `.cursor/skills/autopilot/state.md` to ensure comprehensive updates after every meaningful state transition.
- Improved existing-code workflow in `.cursor/skills/autopilot/flows/existing-code.md` to automate task re-entry without user confirmation.
- Added requirements for test coverage in the implementation process within `.cursor/skills/implement/SKILL.md`, ensuring all acceptance criteria are validated by tests.
- Enhanced new-task skill documentation to include test coverage gap analysis, ensuring all new requirements are covered by tests.
These changes aim to strengthen project maintainability, improve testing practices, and streamline workflows.
- Added a guideline to place all source code under the `src/` directory in `coderule.mdc`.
- Removed the outdated guideline regarding the `src/` layout in `python.mdc` to streamline project structure.
These updates improve project organization and maintainability by clarifying the structure for source code and project files.
Oleksandr Bezdieniezhnykh