Empresas
Empleos
  • Sobre nosotros
  • Soluciones
    • Publicación de vacantes
      Publica tu vacante y recibe candidatos calificados en 48h.
    • Evaluación de candidatos
      500+ pruebas técnicas y psicológicas, más anti-fraude.
    • Headhunting
      Búsqueda ejecutiva a la medida de principio a fin.
    • Nómina + EOR
      Dispersión de nómina y EOR en más de 15 países de LATAM.
  • Precios
  • Empleos

0

856
Vistas
How can I send an HTTP request from my FastAPI app to another site (API)?

I am trying to send 100 requests at a time to a server http://httpbin.org/uuid using the following code snippet

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(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),main(),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)

I am using FastAPI with Asyncio to achieve the lowest time possible around 3 seconds or less but using the above method I am getting an overall time of 66 seconds that is more than a minute. I also want to keep the main function for additional operations on r.text. I understand that to achieve such low time, concurrency is required but I am not sure what mistake I'm doing here.

over 4 years ago · Hanz Gallego
2 Respuestas
Responde la pregunta

0

requests is a synchronous library. You need to use an asyncio-based library to make requests asynchronously.

httpx

httpx.AsyncClient is typically used in FastAPI applications to request external services. It is also used for asynchronous tests of application. Use it by default.

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

app = FastAPI()

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


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


async def task():
    async with httpx.AsyncClient() as client:
        tasks = [request(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)

Output

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

aiohttp

aiohttp can also be used in FastAPI applications, but do so if you really need it.

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

app = FastAPI()

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


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


async def task():
    async with aiohttp.ClientSession() as session:
        tasks = [request(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)

If you want to limit the number of requests executing in parallel, you can use asyncio.semaphore like so:

MAX_IN_PARALLEL = 10
limit_sem = asyncio.Semaphore(MAX_IN_PARALLEL)


async def request(client):
    async with limit_sem:
        response = await client.get(URL)
        return response.text
over 4 years ago · Hanz Gallego Denunciar

0

@Alex Noname has made a good point of using asynchronous request library. If you want to make code faster I would suggest using asyncio.Queue as an alternate. In this example I spun up 100 producers and 100 consumers. you can limit the maximum number of messages in the queue like, then producer waits until there is space for new message

asyncio.Queue(maxsize=100)

also I have made use of AsyncClient from httpx.

If you want to know more about queues I would suggest this article 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()

output

['{\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": "633e634b-b107-42bb-a7d3-c6bbfff089a0"\n}\n', '{\n  "uuid": "962d665f-8663-4be7-a3c6-9426ba500bf4"\n}\n', '{\n  "uuid": "320fb858-a751-4c34-9cdb-ddd2f4e28efa"\n}\n', '{\n  "uuid": "46a75693-5255-4ac7-8d7a-54910b4d6f68"\n}\n', '{\n  "uuid": "5323734b-7ff9-455e-ba5a-66383e6b9a1f"\n}\n', '{\n  "uuid": "622a579f-35b6-4e4b-9dba-a8a69c2049c8"\n}\n', '{\n  "uuid": "593d5e82-cef3-4be0-99ab-e3034855d7a1"\n}\n', '{\n  "uuid": "80f139df-2a27-40c1-8329-e4faa035c45c"\n}\n', '{\n  "uuid": "a97e084c-4d30-4c7b-a96e-89ed00dcfe2a"\n}\n', '{\n  "uuid": "360d49eb-7222-4064-81c2-6eba2d43a9a5"\n}\n', '{\n  "uuid": "a81b6eab-a646-4e58-b986-96a90baa52aa"\n}\n', '{\n  "uuid": "0160337e-b400-41d6-ae89-aa46c5131f40"\n}\n', '{\n  "uuid": "e600722f-8c15-4959-948b-4c4e5296feb2"\n}\n', '{\n  "uuid": "f15403e4-3674-43b2-a0c9-649fd828ba7e"\n}\n', '{\n  "uuid": "36bf139c-cc18-45a8-bc55-e7f90ce290b5"\n}\n', '{\n  "uuid": "b2368a3c-d86b-4fcd-a0d3-bf7f8f657a83"\n}\n', '{\n  "uuid": "d9f16c36-3572-4c70-8a41-3d4e279d76bf"\n}\n', '{\n  "uuid": "796087cc-a202-40dd-9921-14802a73323d"\n}\n', '{\n  "uuid": "089fa0d7-4c48-4daa-a80d-cb5ebd37dfb7"\n}\n', '{\n  "uuid": "e5582bc7-0f8a-4da7-b640-79a0d812154d"\n}\n', '{\n  "uuid": "bac0640b-0d0b-4bf2-a3c1-36bdda7cce03"\n}\n', '{\n  "uuid": "b4353004-02b2-4846-8692-33dd77ad1d3f"\n}\n', '{\n  "uuid": "1b34a744-d0ea-4acf-8bda-33743800d86a"\n}\n', '{\n  "uuid": "4d9dd269-6ee2-4356-9bc4-ddf188445320"\n}\n', '{\n  "uuid": "a1f380df-0c0d-4aee-bbb7-c3e99fbfe54f"\n}\n', '{\n  "uuid": "7cb762eb-1a42-433d-97ea-aa9de4504e35"\n}\n', '{\n  "uuid": "981c40e2-64bf-4746-8103-9430bda2a5ca"\n}\n', '{\n  "uuid": "22b778eb-82d1-48b9-9874-5ebb80ddb8b1"\n}\n', '{\n  "uuid": "e7a9e0e8-7964-400c-aafe-9c36b9b7e1a0"\n}\n', '{\n  "uuid": "21a59b91-2732-4bb6-a47e-84008a03c20c"\n}\n', '{\n  "uuid": "a78eeb39-5ecb-4509-87c2-b4a2529e3536"\n}\n', '{\n  "uuid": "4a332579-ce03-4f69-9db5-78da9196d6b2"\n}\n', '{\n  "uuid": "55fbc34f-4eb3-4356-98e3-1df38054a4b2"\n}\n', '{\n  "uuid": "257ac454-09c2-4fd4-bdb3-303495360fa2"\n}\n', '{\n  "uuid": "7505cc0d-01b3-47f8-91d4-3e54d0f387de"\n}\n', '{\n  "uuid": "0fd67af2-622e-4688-b3c8-f64e20f1f3ec"\n}\n', '{\n  "uuid": "07653ccf-f408-4807-8ff5-e6098d657451"\n}\n', '{\n  "uuid": "b9d0ff18-fd67-4afa-adbe-ebcb53380804"\n}\n', '{\n  "uuid": "70d4d53b-2f06-41be-bb38-47f010cfa40f"\n}\n', '{\n  "uuid": "a6d49873-e749-4578-ae9c-e6c6f473535d"\n}\n', '{\n  "uuid": "e67efee5-76ad-4812-bb97-016ef9ff87e8"\n}\n', '{\n  "uuid": "67886926-b2d9-44fb-b836-26b81c53e5fb"\n}\n', '{\n  "uuid": "dcbd4ff8-e3cd-4e03-b12d-5fb3834b0e00"\n}\n', '{\n  "uuid": "65c2eaee-5fa2-4b58-a1c3-adeb04d92c71"\n}\n', '{\n  "uuid": "2cee4ec9-952e-45c5-91b7-f4f5848c3455"\n}\n', '{\n  "uuid": "8e94bf1c-ee5a-483a-a962-d0b9aea48c95"\n}\n', '{\n  "uuid": "c1fe17bc-bedf-4c4c-952d-a5921f693d9f"\n}\n', '{\n  "uuid": "221456fd-48ca-4826-a8b5-5fa0b23db6e4"\n}\n', '{\n  "uuid": "62fda759-b382-44e4-ad7d-d19a952fc1c7"\n}\n', '{\n  "uuid": "73faeb91-215e-4e49-8f11-11b98e499cc7"\n}\n', '{\n  "uuid": "f3279c45-ebcc-4079-b823-3efe825c7cf8"\n}\n', '{\n  "uuid": "b892672b-4510-44f4-b61e-9cccaa52421e"\n}\n', '{\n  "uuid": "8926979d-71a7-4171-9389-ddafff89e229"\n}\n', '{\n  "uuid": "d97cef59-4862-42ca-b0f2-261f98fd4b6f"\n}\n', '{\n  "uuid": "3362ff93-89e4-4889-a2f2-2e03771e86ce"\n}\n', '{\n  "uuid": "9f525251-4fe4-4a9c-97b5-2f01d2b37aaf"\n}\n', '{\n  "uuid": "036959d4-3179-40f9-bbf3-32274f2cede2"\n}\n', '{\n  "uuid": "157f8c22-6214-4e27-ab5d-08d39f96d1d3"\n}\n', '{\n  "uuid": "e4bfbf62-7c33-4fd7-a231-47f5ce398041"\n}\n', '{\n  "uuid": "a41512c1-3346-4457-a379-64d690ffc2ea"\n}\n', '{\n  "uuid": "7bb07cfb-294b-44fa-a8dc-6d283c54409f"\n}\n', '{\n  "uuid": "f2297d22-a2d0-47ff-8d65-24c6fe7877a7"\n}\n', '{\n  "uuid": "645e255b-4c93-4c8f-9ff2-43da293db660"\n}\n', '{\n  "uuid": "9190e370-dfa9-47a6-8cef-8df7ab762433"\n}\n', '{\n  "uuid": "83216551-9f1b-48b2-8cd6-fd125a7ce965"\n}\n', '{\n  "uuid": "aaddb98c-879b-472d-aa39-1a684ef7d179"\n}\n', '{\n  "uuid": "4bd7e2fd-1453-4433-aa9f-bc29d82f5b9d"\n}\n', '{\n  "uuid": "b02d65e8-2063-4060-96af-088ec497fc10"\n}\n', '{\n  "uuid": "e10e3dd2-83c5-4595-afe4-4145bce79193"\n}\n', '{\n  "uuid": "8cb62784-1b5d-4dcc-8342-02ad7d417ca9"\n}\n', '{\n  "uuid": "13ef1509-4f69-4426-ac42-cb29a2d0f094"\n}\n', '{\n  "uuid": "4d4571d5-69bb-4625-b246-b5eef50aa10d"\n}\n', '{\n  "uuid": "75e7a2ca-bfa8-43b9-b33a-f3f927453579"\n}\n', '{\n  "uuid": "0a8cc8ff-2039-4873-9e38-afad3e10d726"\n}\n', '{\n  "uuid": "189ae75b-4879-4897-9725-f9be17e49844"\n}\n', '{\n  "uuid": "ba482468-f45f-4060-a0c1-3ef31bb283c8"\n}\n', '{\n  "uuid": "3809f1c7-2f11-487d-bf96-8abf64e08298"\n}\n', '{\n  "uuid": "da5ea88b-974d-4238-9654-ac56c657c8b4"\n}\n', '{\n  "uuid": "edc3de79-7cf4-42a3-a5f4-b754136a6fd3"\n}\n', '{\n  "uuid": "6f5ecd91-537c-4009-8435-6c31ce035d36"\n}\n', '{\n  "uuid": "4a33b29d-78ba-468f-8f30-a01b3d9e2a87"\n}\n', '{\n  "uuid": "a5a2ef2d-d4a2-48e1-8335-f8c1309328c4"\n}\n', '{\n  "uuid": "3d1679da-afdd-4f04-9c16-0aaea4c53d0c"\n}\n', '{\n  "uuid": "c4025845-0d4c-4549-acb8-1a249b33e644"\n}\n']
time:  1.0535461902618408
over 4 years ago · Hanz Gallego Denunciar
Responde la pregunta
Encuentra empleos remotos

¡Descubre la nueva forma de encontrar empleo!

Top de empleos
Top categorías de empleo
Empresas
Publicar vacante Precios Comercial
Legal
Términos y condiciones Política de privacidad
© 2026 PeakU Inc. All Rights Reserved.
Andres GPT
Recomiéndame algunas ofertas
Necesito ayuda