问题
I have the following code:
@asyncio.coroutine
def do_something_periodically():
while True:
asyncio.async(my_expensive_operation())
yield from asyncio.sleep(my_interval)
if shutdown_flag_is_set:
print("Shutting down")
break
I run this function until complete. The problem occurs when shutdown is set - the function completes and any pending tasks are never run. (You see this as an error
task: <Task pending coro=<report() running at script.py:33> wait_for=<Future pending cb=[Task._wakeup()]>>
). How do I schedule a shutdown correctly?
To give some context, I'm writing a system monitor which reads from /proc/stat every 5 seconds, computes the cpu usage in that period, and then sends the result to a server. I want to keep scheduling these monitoring jobs until I receive sigterm, when I stop scheduling, wait for all current jobs to finish, and exit gracefully.
回答1:
You can retrieve unfinished tasks and run the loop again until they finished, then close the loop or exit your program.
pending = asyncio.Task.all_tasks()
loop.run_until_complete(asyncio.gather(*pending))
- pending is a list of pending tasks.
- asyncio.gather() allows to wait on several tasks at once.
If you want to ensure all the tasks are completed inside a coroutine (maybe you have a "main" coroutine), you can do it this way, for instance:
@asyncio.coroutine
def do_something_periodically():
while True:
asyncio.async(my_expensive_operation())
yield from asyncio.sleep(my_interval)
if shutdown_flag_is_set:
print("Shutting down")
break
yield from asyncio.gather(*asyncio.Task.all_tasks())
Also, in this case, since all the tasks are created in the same coroutine, you already have access to the tasks:
@asyncio.coroutine
def do_something_periodically():
tasks = []
while True:
tasks.append(asyncio.async(my_expensive_operation()))
yield from asyncio.sleep(my_interval)
if shutdown_flag_is_set:
print("Shutting down")
break
yield from asyncio.gather(*tasks)
回答2:
As of Python 3.7 the above answer uses multiple deprecated APIs (asyncio.async and Task.all_tasks,@asyncio.coroutine, yield from, etc.) and you should rather use this:
import asyncio
async def my_expensive_operation(expense):
print(await asyncio.sleep(expense, result="Expensive operation finished."))
async def do_something_periodically(expense, interval):
while True:
asyncio.create_task(my_expensive_operation(expense))
await asyncio.sleep(interval)
loop = asyncio.get_event_loop()
coro = do_something_periodically(1, 1)
try:
loop.run_until_complete(coro)
except KeyboardInterrupt:
coro.close()
tasks = asyncio.all_tasks(loop)
expensive_tasks = {task for task in tasks if task._coro.__name__ != coro.__name__}
loop.run_until_complete(asyncio.gather(*expensive_tasks))
回答3:
You might also consider using asyncio.shield, although by doing this way you won't get ALL the running tasks finished but only shielded. But it still can be useful in some scenarios.
Besides that, as of Python 3.7 we also can use the high-level API method asynio.run here. As Python core developer, Yury Selivanov suggests:
https://youtu.be/ReXxO_azV-w?t=636
Note: asyncio.run function has been added to asyncio in Python 3.7 on a provisional basis.
Hope that helps!
import asyncio
async def my_expensive_operation(expense):
print(await asyncio.sleep(expense, result="Expensive operation finished."))
async def do_something_periodically(expense, interval):
while True:
asyncio.create_task(my_expensive_operation(expense))
# using asyncio.shield
await asyncio.shield(asyncio.sleep(interval))
coro = do_something_periodically(1, 1)
if __name__ == "__main__":
try:
# using asyncio.run
asyncio.run(coro)
except KeyboardInterrupt:
print('Cancelled!')
回答4:
Use a wrapper coroutine that waits until the pending task count is 1 before returning.
async def loop_job():
asyncio.create_task(do_something_periodically())
while len(asyncio.Task.all_tasks()) > 1: # Any task besides loop_job() itself?
await asyncio.sleep(0.2)
asyncio.run(loop_job())
回答5:
I'm not sure if this is what you've asked for but I had a similar problem and here is the ultimate solution that I came up with.
The code is python 3 compatible and uses only public asyncio APIs (meaning no hacky _coro
and no deprecated APIs).
import asyncio
async def fn():
await asyncio.sleep(1.5)
print('fn')
async def main():
print('main start')
asyncio.create_task(fn()) # run in parallel
await asyncio.sleep(0.2)
print('main end')
def async_run_and_await_all_tasks(main):
def get_pending_tasks():
tasks = asyncio.Task.all_tasks()
pending = [task for task in tasks if task != run_main_task and not task.done()]
return pending
async def run_main():
await main()
while True:
pending_tasks = get_pending_tasks()
if len(pending_tasks) == 0: return
await asyncio.gather(*pending_tasks)
loop = asyncio.new_event_loop()
run_main_coro = run_main()
run_main_task = loop.create_task(run_main_coro)
loop.run_until_complete(run_main_task)
# asyncio.run(main()) # doesn't print from fn task, because main finishes earlier
async_run_and_await_all_tasks(main)
output (as expected):
main start
main end
fn
That async_run_and_await_all_tasks function will make python to behave in a nodejs manner: exit only when there are no unfinished tasks.
来源:https://stackoverflow.com/questions/27796294/when-using-asyncio-how-do-you-allow-all-running-tasks-to-finish-before-shutting