I want to run a service that requests urls using coroutines and multithread. However I cannot pass coroutines to the workers in the executor. See the code below for a minimal ex
From what I understood from the question, you are trying to use each thread to:
However, as soon as you call the loop (be it the main or a new loop) to wait for results, it blocks the thread waiting.
And, by using run_in_executor with a bunch of sync functions, the thread doesn't actually know if there are more coroutines to dispatch in one go before reaching the point where it waits the loop.
I think that if you want to dispatch a bunch of coroutines in such a way as to each thread manage its own group of coroutines in its own event loop, the following code achieved the 1 second total time, multithreaded wait for 10 async sleeps of 1 second.
import asyncio
import threading
from asyncio import AbstractEventLoop
from concurrent.futures import ThreadPoolExecutor
from time import perf_counter
from typing import Dict, Set
import _asyncio
event_loops_for_each_thread: Dict[int, AbstractEventLoop] = {}
def run(corofn, *args):
curr_thread_id = threading.current_thread().ident
if curr_thread_id not in event_loops_for_each_thread:
event_loops_for_each_thread[curr_thread_id] = asyncio.new_event_loop()
thread_loop = event_loops_for_each_thread[curr_thread_id]
coro = corofn(*args)
return thread_loop.create_task(coro)
async def async_gather_tasks(all_tasks: Set[_asyncio.Task]):
return await asyncio.gather(*all_tasks)
def wait_loops():
# each thread will block waiting all async calls of its specific async loop
curr_thread_id = threading.current_thread().ident
threads_event_loop = event_loops_for_each_thread[curr_thread_id]
# I print the following to prove that each thread is waiting its loop
print(f'Thread {curr_thread_id} will wait its tasks.')
return threads_event_loop.run_until_complete(async_gather_tasks(asyncio.all_tasks(threads_event_loop)))
async def main():
loop = asyncio.get_event_loop()
max_workers = 5
executor = ThreadPoolExecutor(max_workers=max_workers)
# dispatching async tasks for each thread.
futures = [
loop.run_in_executor(executor, run, asyncio.sleep, 1, x)
for x in range(10)]
# waiting the threads finish dispatching the async executions to its own event loops
await asyncio.wait(futures)
# at this point the async events were dispatched to each thread event loop
# in the lines below, you tell each worker thread to wait all its async tasks completion.
futures = [
loop.run_in_executor(executor, wait_loops)
for _ in range(max_workers)
]
print(await asyncio.gather(*futures))
# it will print something like:
# [[1, 8], [0], [6, 3, 9, 7], [4], [2, 5]]
# each sub-set is the result of the tasks of a thread
# it is non-deterministic, so it will return a diferent array of arrays each time you run.
if __name__ == '__main__':
loop = asyncio.get_event_loop()
start = perf_counter()
loop.run_until_complete(main())
end = perf_counter()
duration_s = end - start
# the print below proves that all threads are waiting its tasks asynchronously
print(f'duration_s={duration_s:.3f}')