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map_concurrently_in_subthread_trio
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import queue | |
import random | |
from functools import partial | |
from time import sleep, perf_counter | |
import trio | |
CONCURRENCY_LIMIT = 8 | |
limiter = trio.CapacityLimiter(CONCURRENCY_LIMIT) | |
def sync_work(item): | |
sleep(item[1]) | |
return item | |
async def asyncify_iterator(iter, limiter=None): | |
sentinel = object() | |
while ( | |
result := await trio.to_thread.run_sync(next, iter, sentinel, limiter=limiter) | |
) is not sentinel: | |
yield result | |
async def worker_task(i, func, send_chan, task_status): | |
async with limiter, send_chan: | |
task_status.started() | |
result = await trio.to_thread.run_sync(func, limiter=trio.CapacityLimiter(1)) | |
await send_chan.send((i, result)) | |
async def result_sorter(result_send, recv_chan): | |
results = {} | |
async with recv_chan: | |
j = 0 | |
async for i, result in recv_chan: | |
if i != j: | |
results[i] = result | |
continue | |
while True: | |
await result_send.send(result) | |
j += 1 | |
if j in results: | |
result = results.pop(j) | |
else: | |
break | |
async def amain(run_data_queue, func, items, args, kwargs): | |
send_chan, recv_chan = trio.open_memory_channel(0) | |
result_send, result_recv = trio.open_memory_channel(0) | |
async with trio.open_nursery() as nursery: | |
run_data_queue.put( | |
( | |
trio.lowlevel.current_trio_token(), | |
nursery.cancel_scope.cancel, | |
result_recv.receive, | |
) | |
) | |
nursery.start_soon(result_sorter, result_send, recv_chan) | |
item_aiter = asyncify_iterator(iter(items), limiter) | |
i = 0 | |
async for item in item_aiter: | |
await nursery.start( | |
worker_task, i, partial(func, item, *args, **kwargs), send_chan.clone() | |
) | |
i += 1 | |
send_chan.close() | |
def map_concurrently_in_subthread_trio(func, items, args=(), kwargs={}): | |
run_data_queue = queue.SimpleQueue() | |
def trio_main(): | |
return trio.run(amain, run_data_queue, func, items, args, kwargs) | |
def deliver(result): | |
run_data_queue.put(result) | |
trio.lowlevel.start_thread_soon(trio_main, deliver) | |
token, cancel, receive = run_data_queue.get() | |
while True: | |
try: | |
value = trio.from_thread.run(receive, trio_token=token) | |
except (trio.RunFinishedError, trio.Cancelled): | |
break # don't unwrap here, to avoid chaining exceptions | |
try: | |
yield value | |
except BaseException: | |
try: | |
token.run_sync_soon(cancel) | |
except trio.RunFinishedError: | |
pass | |
run_data_queue.get().unwrap() | |
raise | |
return run_data_queue.get().unwrap() | |
if __name__ == "__main__": | |
t0 = perf_counter() | |
for x in map_concurrently_in_subthread_trio( | |
sync_work, ((i, random.random()) for i in range(100)) | |
): | |
print(x) | |
sleep(0.1) | |
t = perf_counter() | |
print(t - t0, "is less than 50") |
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Now uses
trio.from_thread.run*
to improve readability 100x and makeresult_sender
fully natively async.