Asynchronous Requests with Python requests

Question

I tried the sample provided within the documentation of the requests library for python.

With async.map(rs), I get the response codes, but I want to get

Answer 1

Unfortunately, as far as I know, the requests library is not equipped for performing asynchronous requests. You can wrap async/await syntax around requests, but that will make the underlying requests no less synchronous. If you want true async requests, you must use other tooling that provides it. One such solution is aiohttp (Python 3.5.3+). It works well in my experience using it with the Python 3.7 async/await syntax. Below I write three implementations of performing n web requests using

1. Purely synchronous requests (sync_requests_get_all) using the Python requests library
2. Synchronous requests (async_requests_get_all) using the Python requests library wrapped in Python 3.7 async/await syntax and asyncio
3. A truly asynchronous implementation (async_aiohttp_get_all) with the Python aiohttp library wrapped in Python 3.7 async/await syntax and asyncio

import time
import asyncio
import requests
import aiohttp

from types import SimpleNamespace

durations = []


def timed(func):
    """
    records approximate durations of function calls
    """
    def wrapper(*args, **kwargs):
        start = time.time()
        print(f'{func.__name__:<30} started')
        result = func(*args, **kwargs)
        duration = f'{func.__name__:<30} finsished in {time.time() - start:.2f} seconds'
        print(duration)
        durations.append(duration)
        return result
    return wrapper


async def fetch(url, session):
    """
    asynchronous get request
    """
    async with session.get(url) as response:
        response_json = await response.json()
        return SimpleNamespace(**response_json)


async def fetch_many(loop, urls):
    """
    many asynchronous get requests, gathered
    """
    async with aiohttp.ClientSession() as session:
        tasks = [loop.create_task(fetch(url, session)) for url in urls]
        return await asyncio.gather(*tasks)


@timed
def asnyc_aiohttp_get_all(urls):
    """
    performs asynchronous get requests
    """
    loop = asyncio.get_event_loop()
    return loop.run_until_complete(fetch_many(loop, urls))


@timed
def sync_requests_get_all(urls):
    """
    performs synchronous get requests
    """
    # use session to reduce network overhead
    session = requests.Session()
    return [SimpleNamespace(**session.get(url).json()) for url in urls]


@timed
def async_requests_get_all(urls):
    """
    asynchronous wrapper around synchronous requests
    """
    loop = asyncio.get_event_loop()
    # use session to reduce network overhead
    session = requests.Session()

    async def async_get(url):
        return session.get(url)

    async_tasks = [loop.create_task(async_get(url)) for url in urls]
    return loop.run_until_complete(asyncio.gather(*async_tasks))


if __name__ == '__main__':
    # this endpoint takes ~3 seconds to respond,
    # so a purely synchronous implementation should take
    # little more than 30 seconds and a purely asynchronous
    # implementation should take little more than 3 seconds.
    urls = ['https://postman-echo.com/delay/3']*10

    sync_requests_get_all(urls)
    async_requests_get_all(urls)
    asnyc_aiohttp_get_all(urls)
    print('----------------------')
    [print(duration) for duration in durations]

On my machine, this is the output:

sync_requests_get_all          started
sync_requests_get_all          finsished in 30.92 seconds
async_requests_get_all         started
async_requests_get_all         finsished in 30.87 seconds
asnyc_aiohttp_get_all          started
asnyc_aiohttp_get_all          finsished in 3.22 seconds
----------------------
sync_requests_get_all          finsished in 30.92 seconds
async_requests_get_all         finsished in 30.87 seconds
asnyc_aiohttp_get_all          finsished in 3.22 seconds