fastapi-profiler

from fastapi import FastAPI from fastapi_profiler import FastAPIProfilerMiddleware import uvicorn import time # For local development, you might enable profiling via an env var (e.g., in a .env file) # PYINSTRUMENT_PROFILING_ENABLED=true app = FastAPI() app.add_middleware( FastAPIProfilerMiddleware, profiler_dir=".", # Directory to save profile reports (e.g., HTML files) is_print_enable=True, # Print summary to console profiler_sample_rate=0.1, # Profile only 10% of requests (v1.5.0+ feature) always_profile_errors=True, # Always profile 5xx errors regardless of sample rate (v1.5.0+ feature) # is_browser_enable=True, # Requires `pip install Jinja2` to view reports in browser # html_file_name="profile_report.html", # Custom HTML report filename # log_format="json", # v1.5.0+ for structured logging ) @app.get("/") async def read_root(): time.sleep(0.05) # Simulate some work return {"message": "Hello FastAPI Profiler!"} @app.get("/slow") async def read_slow(): time.sleep(0.2) # Simulate a slow operation return {"message": "This was a slow request!"} # To run this application: # 1. Save the code as `main.py` # 2. Run from your terminal: `uvicorn main:app --reload` # 3. Access in your browser: http://127.0.0.1:8000/ or http://127.0.0.1:8000/slow # Check your current directory for profile files (.html, .json, .prof) and console output.