feat: enhance reviewbot to be faster, and display feedback#1
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…ality - Added `fastapi` and `uvicorn` as dependencies for improved API capabilities. - Introduced `ruff` for linting and code formatting, with configuration settings in `pyproject.toml`. - Implemented a low-effort agent for quick scanning of files to determine if deep review is necessary. - Updated the review process to include quick scans before detailed analysis, optimizing review efficiency. - Refactored various functions to support the new quick scan feature and improve code readability.
- Updated the acknowledgment process to reuse existing "Starting" acknowledgments for in-progress reviews, enhancing efficiency. - Changed acknowledgment messages to use badge images for better visual representation. - Modified `post_discussion` to return both discussion and note IDs, streamlining the acknowledgment creation process. - Enhanced summary generation to include badges for issue severity and improved formatting for clarity. - Added a new utility function to generate line codes for GitLab position API, improving line tracking in discussions. - Refactored various functions to support these enhancements and improve code readability.
- Added a new `think` tool to record internal reasoning during code reviews, improving context retention and analysis quality. - Updated the review process to require reasoning before generating output, ensuring deeper analysis of code changes. - Enhanced the summary generation to include previous reasoning context, providing reviewers with insights into past evaluations. - Modified the configuration to support thread creation options, allowing for more flexible discussion management. - Refactored various functions to accommodate these enhancements and improve overall code clarity.
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