在做AI模型推理的接口时，这时候接口是非异步的，但是uvicorn运行FastAPI时就会出现阻塞所有请求。

这时候需要解决这个问题：

api.py：

python">import asyncio
from fastapi import FastAPI
from fastapi.responses import StreamingResponse
import time
import io
import uvicornapp = FastAPI()def my_io(num):print(num)time.sleep(20)@app.get("/hello")
async def hello():loop = asyncio.get_event_loop()# my_io 里包含不支持异步操作的代码， 所以就使用线程池来配合实现了。future = loop.run_in_executor(None , my_io , 666)response = await futureprint("运行完成", response)return {"message" : "success"}def read_image_data(image_path : str):with open(image_path , "rb") as fr:datas = fr.read()return datas@app.get("/show_image/{image_path:path}")
async def show_image(image_path : str):datas = await asyncio.get_event_loop().run_in_executor(None , read_image_data , image_path)bytes = io.BytesIO(datas)return StreamingResponse(bytes , media_type="image/png")if __name__ == "__main__":uvicorn.run("api:app", host="0.0.0.0", port=10001, reload=True)

完美解决！！！perfect！！！