feat: add profiling middleware and update README for performance prof…#236
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feat: add profiling middleware and update README for performance prof…#236
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Pull request overview
This pull request adds performance profiling capabilities to the FastAPI application using the pyinstrument library. The profiling can be enabled on-demand via a query parameter, allowing developers to analyze request performance and identify bottlenecks.
Changes:
- Added
pyinstrument>=5.1.2as a new dependency - Implemented
ProfilingMiddlewareto enable conditional profiling via?pyprofile=truequery parameter - Added
--reloadflag to the development Docker Compose configuration - Updated README with profiling documentation and usage examples
Reviewed changes
Copilot reviewed 7 out of 9 changed files in this pull request and generated 10 comments.
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| File | Description |
|---|---|
| uv.lock | Added pyinstrument 5.1.2 package with platform-specific wheels |
| pyproject.toml | Added pyinstrument>=5.1.2 to project dependencies |
| compose.yml | Added --reload flag to uvicorn for hot-reloading during development |
| app/middleware/profiler.py | New middleware implementation for conditional profiling via query parameter |
| app/main.py | Registered ProfilingMiddleware and GZipMiddleware in the FastAPI app |
| app/api/health.py | Added pyprofile parameter to redis_check endpoint for API documentation |
| README.md | Added performance profiling section with usage instructions and examples |
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