如何在FastAPI中实现请求的性能监控和优化

from fastapi import FastAPI, Requestimport timeapp = FastAPI()class PerformanceMiddleware:    def __init__(self, app):        self.app = app    async def __call__(self, request: Request, call_next):        start_time = time.time()        response = await call_next(request)        end_time = time.time()        total_time = end_time - start_time        print(f"请求路径: {request.url.path}，处理时间: {total_time} 秒")        return responseapp.add_middleware(PerformanceMiddleware)

from fastapi import FastAPIfrom pyinstrument import Profilerfrom pyinstrument.renderers import ConsoleRendererapp = FastAPI()@app.get("/")def home():    profiler = Profiler()    profiler.start()    # 处理请求的逻辑    # ...    profiler.stop()    print(profiler.output_text(unicode=True, color=True))    return {"message": "Hello, World!"}

from fastapi import FastAPIimport httpxapp = FastAPI()@app.get("/")async def home():    async with httpx.AsyncClient() as client:        response = await client.get("https://api.example.com/")        # 处理响应的逻辑        # ...    return {"message": "Hello, World!"}

from fastapi import FastAPIfrom fastapi_cache import FastAPICachefrom fastapi_cache.backends.redis import RedisBackendapp = FastAPI()cache = FastAPICache(backend=RedisBackend(host="localhost", port=6379, db=0))@app.get("/users/{user_id}")@cache()def get_user(user_id: int):    # 从数据库或其他资源中获取用户信息    # ...    return {"user_id": user_id, "user_name": "John Doe"}