如何在大管理器中同时运行异步启动器/同时运行异步功能

Question

I am trying to make my code run faster for finding roblox account names. I tried using larger and larger event loops (they basically took the previous event manager and used that to make a larger event manager), but that resulted in the same, if not worse performance when compared to using just a single small event loop.

This code was supplied in another question of mine (with modifications from me here). It works great, but it still can take a good few minutes to handle larger quantities of accounts. Usually I wouldn't care, but I am trying to get to 100,000 accounts, so I need performance. Is this just how fast it can go? Or can we drive this even further? Is the answer just more CPU/memory? Better internet? Do I need network programming at all, or is there a faster, no-request way?

Code:

import asyncio
import aiohttp


async def find_account(url, session, id):
    try:
        async with session.get(url) as response:
            if response.status == 200:
                r = await response.read()
                from bs4 import BeautifulSoup
                soup = BeautifulSoup(r, 'html.parser')
                h2 = []
                for i in soup.find_all('h2'):
                    h2.append(i)
                print('Done')
                return str(list(list(h2)[0])[0]) + '  ' + str(url)
            else:
                return 'This account does not exist ID: {}'.format(id)
    except aiohttp.ServerDisconnectedError:
        print('Done')
        return find_account(url, session, id)


async def main(min_id, max_id):
    tasks = []
    async with aiohttp.ClientSession() as session:
        for id in range(min_id, max_id):
            url = f'https://web.roblox.com/users/{str(id)}/profile'
            tasks.append(asyncio.create_task(find_account(url=url, session=session, id=id)))

        return await asyncio.gather(*tasks)


from time import time
loop = asyncio.get_event_loop()
starting = int(input("Type Your Starting Id Number>> "))
ending = int(input("Type Your Ending Id Number>> "))
timer = time()
users = loop.run_until_complete(main(starting, ending))
users = [i for i in users if i != '1']
print(users)
print(time()-timer)

Answer 1

You could run BeautifulSoup in multiple processes to speed it up. For example, you can extract the part of find_account that does the parsing and pass that to a process pool executor:

import concurrent.futures
_pool = concurrent.futures.ProcessPoolExecutor()

def parse(html):
    from bs4 import BeautifulSoup
    soup = BeautifulSoup(html, 'html.parser')
    h2 = []
    for i in soup.find_all('h2'):
        h2.append(i)
    return str(list(list(h2)[0])[0])

async def find_account(url, session, id):
    while True:
        async with session.get(url) as response:
            if response.status == 200:
                r = await response.read()
                loop = asyncio.get_event_loop()
                extracted = await loop.run_in_executor(_pool, parse, r)
                print('Done')
                return extracted + '  ' + str(url)
            else:
                return 'This account does not exist ID: {}'.format(id)
    except aiohttp.ServerDisconnectedError:
        print('Done')
        # keep looping

On an unrelated note, your recursive call to find_account() was incorrect because it was missing an await . The above code fixes that and switches to a loop instead, which makes it a bit more explicit that the code is in fact looping.