- Revised coding rules to emphasize readability, meaningful comments, and maintainability.
- Adjusted thresholds for test coverage on business logic from 80% to 75%, aligning with the new quality standards.
- Enhanced guidelines for handling skipped tests, introducing classifications for legitimate and illegitimate skips.
- Updated the requirements for test scenarios to ensure every test has a clear pass/fail criterion.
Made-with: Cursor
- Added `/detect/video` endpoint for true streaming video detection, allowing inference to start as upload bytes arrive.
- Introduced `run_detect_video_stream` method in the inference module to handle video processing from a file-like object.
- Updated media hashing to include a new function for computing hashes directly from files with minimal I/O.
- Enhanced documentation to reflect changes in video processing and API behavior.
Made-with: Cursor
- Introduced `AIAvailabilityStatus` class to manage the availability status of AI models, including methods for setting status and logging messages.
- Added `AIRecognitionConfig` class to encapsulate configuration parameters for AI recognition, with a static method for creating instances from dictionaries.
- Implemented enums for AI availability states to enhance clarity and maintainability.
- Updated related Cython files to support the new classes and ensure proper type handling.
These changes aim to improve the structure and functionality of the AI model management system, facilitating better status tracking and configuration handling.
- Modified the health endpoint to return "None" for AI availability when inference is not initialized, improving clarity on system status.
- Enhanced the test documentation to include handling of skipped tests, emphasizing the need for investigation before proceeding.
- Updated test assertions to ensure proper execution order and prevent premature engine initialization.
- Refactored test cases to streamline performance testing and improve readability, removing unnecessary complexity.
These changes aim to enhance the robustness of the health check and improve the overall testing framework.
- Added Cython generated files to .gitignore to prevent unnecessary tracking.
- Updated paths in `inference.c` and `coreml_engine.c` to reflect the correct virtual environment.
- Revised the execution environment documentation to clarify hardware dependency checks and local execution instructions, ensuring accurate guidance for users.
- Removed outdated Docker suitability checks and streamlined the assessment process for test execution environments.
- 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.
Oleksandr Bezdieniezhnykh