如何将HTTP请求从我的FastAPI应用发送到另一个站点？ aiohttp示例 httpx示例

如何解决如何将HTTP请求从我的FastAPI应用发送到另一个站点？ aiohttp示例 httpx示例

我正尝试使用以下代码段一次向服务器http://httpbin.org/uuid发送100个请求

from fastapi import FastAPI
from time import sleep
from time import time
import requests
import asyncio

app = FastAPI()

URL= "http://httpbin.org/uuid"


# @app.get("/")
async def main():
    r = requests.get(URL)
    # print(r.text)
    
    return r.text

async def task():
    tasks = [main(),main(),main()]
    # print(tasks)
    # input("stop")
    result = await asyncio.gather(*tasks)
    print (result)

@app.get('/')
def f():
    start = time()
    asyncio.run(task())
    print("time: ",time()-start)

我将FastAPI与Asyncio结合使用，以达到3秒或更短的最短时间，但是使用上述方法，我得到的总时间为66秒，超过一分钟。我还想保留main函数，以便对r.text进行其他操作。我知道要达到如此低的时间，需要并发，但是我不确定我在这里犯了什么错误。

解决方法

requests是一个同步库。您需要使用基于asyncio的库来异步发出数百个请求。

aiohttp示例

from fastapi import FastAPI
from time import time
import aiohttp
import asyncio

app = FastAPI()

URL = "http://httpbin.org/uuid"


async def main(session):
    async with session.get(URL) as response:
        return await response.text()


async def task():
    async with aiohttp.ClientSession() as session:
        tasks = [main(session) for i in range(100)]
        result = await asyncio.gather(*tasks)
        print(result)


@app.get('/')
async def f():
    start = time()
    await task()
    print("time: ",time() - start)

输出

['{\n  "uuid": "65c454bf-9b12-4ba8-98e1-de636bffeed3"\n}\n','{\n  "uuid": "03a48e56-2a44-48e3-bd43-a0b605bef359"\n}\n',...
time:  0.5911855697631836

httpx示例

import uvicorn
from fastapi import FastAPI
from time import time
import httpx
import asyncio

app = FastAPI()

URL = "http://httpbin.org/uuid"


async def main(client):
    response = await client.get(URL)
    return response.text


async def task():
    async with httpx.AsyncClient() as client:
        tasks = [main(client) for i in range(100)]
        result = await asyncio.gather(*tasks)
        print(result)


@app.get('/')
async def f():
    start = time()
    await task()
    print("time: ",time() - start)

,

@Alex Noname很好地使用了异步请求库。如果您想更快地编写代码，建议使用 asyncio.Queue 作为替代。在此示例中，我产生了100个生产者和100个消费者。您可以像这样限制队列中的最大消息数，然后生产者等待直到有空间容纳新消息

asyncio.Queue（maxsize = 100）

我还使用了 httpx 中的 AsyncClient 。

如果您想了解有关队列的更多信息，建议您这篇文章 https://realpython.com/async-io-python/

from time import time
from typing import List

from fastapi import FastAPI
from httpx import AsyncClient

app = FastAPI()

URL = "http://httpbin.org/uuid"
client = AsyncClient()


async def main():
    r = await client.get(URL)
    return r.text


async def producer(queue: asyncio.Queue):
    await queue.put(main)


async def consumer(queue: asyncio.Queue,resp: List):
    # await queue.get() == main  -> without arguments
    resp.append(await (await queue.get())())


async def task():
    q = asyncio.Queue(maxsize=100)
    response = []
    consumers = []
    producers = []
    [consumers.append(consumer(q,response)) for c in range(100)]
    [producers.append(producer(q)) for p in range(100)]

    await asyncio.gather(*producers)
    await asyncio.gather(*consumers)
    print(response)


@app.get('/')
def f():
    start = time()
    asyncio.run(task())
    print("time: ",time() - start)


if __name__ == '__main__':
    f()

输出

['{\n  "uuid": "a7713d07-ea5d-40d3-95b4-6673f3c50a8b"\n}\n','{\n  "uuid": "c93f8b89-2c44-40fa-9e5f-736e22ad5f23"\n}\n','{\n  "uuid": "cbb4ad76-7790-45ae-87f1-e425eddc8021"\n}\n','{\n  "uuid": "4c1d81c0-ae7d-401a-99df-e98af3651335"\n}\n','{\n  "uuid": "c5f70738-fbba-4cf9-8fdf-29f8b4eabe63"\n}\n','{\n  "uuid": "d016b852-4312-4502-a336-a6a110237d1d"\n}\n','{\n  "uuid": "22d8b00b-4266-4236-b5a3-ed5d7c5be416"\n}\n','{\n  "uuid": "cd54fdbb-7de9-4df3-90cc-e6b108d5fdf8"\n}\n','{\n  "uuid": "757f0a26-7896-4a04-bea2-60c66a38b05b"\n}\n','{\n  "uuid": "72eb6584-21f4-449b-b6bd-d0f88666126f"\n}\n','{\n  "uuid": "b3deadf5-5b79-491b-829c-0404c306cb68"\n}\n','{\n  "uuid": "789e7422-493d-49d2-9585-e5ca34b7cf36"\n}\n','{\n  "uuid": "48d29a82-ff7c-41f5-8af2-42784326a31f"\n}\n','{\n  "uuid": "84b2d67c-331c-4037-b6e4-c299d93c1899"\n}\n','{\n  "uuid": "386e79f9-073a-4f27-961c-7befcdf95cd4"\n}\n','{\n  "uuid": "8dfdb5e4-dd69-4043-b174-48ec8505f36f"\n}\n','{\n  "uuid": 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time:  1.0535461902618408