A thread can not gracefully kill another thread, so with your current code, foo
never terminates. (With thread.daemon = True
the Python program will exit when only daemon threads are left, but that does not allow you to terminate foo
without also terminating the main thread.)
Some people have tried to use signals to halt execution, but this may be unsafe in some cases.
If you can modify foo
, there are many solutions possible. For instance, you could check for a threading.Event
to break out of the while-loop.
But if you can not modify foo
, you could run it in a subprocess using the multiprocessing
module since unlike threads, subprocesses can be terminated. Here is an example of how that might look:
import time
import multiprocessing as mp
def foo(x = 1):
cnt = 1
while True:
time.sleep(1)
print(x, cnt)
cnt += 1
def timeout(func, args = (), kwds = {}, timeout = 1, default = None):
pool = mp.Pool(processes = 1)
result = pool.apply_async(func, args = args, kwds = kwds)
try:
val = result.get(timeout = timeout)
except mp.TimeoutError:
pool.terminate()
return default
else:
pool.close()
pool.join()
return val
if __name__ == '__main__':
print(timeout(foo, kwds = {'x': 'Hi'}, timeout = 3, default = 'Bye'))
print(timeout(foo, args = (2,), timeout = 2, default = 'Sayonara'))
yields
('Hi', 1)
('Hi', 2)
('Hi', 3)
Bye
(2, 1)
(2, 2)
Sayonara
Note that this has some limitations too.
subprocesses receive a copy of the parent processes' variables. If you modify a variable in a subprocess, it will NOT affect
the parent process. If your function func
needs to modify variables, you will need to use a shared variable.
arguments (passed through args
) and keywords (kwds
) must be
picklable.
- processes are more resource-heavy than threads. Usually, you only
want to create a multiprocessing Pool once at the beginning of a
program. This
timeout
function creates a Pool
every time you call it. This was necessary since we needed pool.terminate()
to
terminate foo
. There might be a better way, but I haven't thought of it.
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…