Suppose you are working with some bodgy piece of code which you can\'t trust, is there a way to run it safely without losing control of your script?
An example mig
In your real case application can you switch to multiprocessing? Becasue it seems that what you're asking could be done with multiprocessing + threading.Timer + try/except
.
Take a look at this:
class SafeProcess(Process):
def __init__(self, queue, *args, **kwargs):
self.queue = queue
super().__init__(*args, **kwargs)
def run(self):
print('Running')
try:
result = self._target(*self._args, **self._kwargs)
self.queue.put_nowait(result)
except:
print('Exception')
result = None
while result != 'it worked!!':
q = Queue()
p = SafeProcess(q, target=unreliable_code)
p.start()
t = Timer(1, p.terminate) # in case it should hang
t.start()
p.join()
t.cancel()
try:
result = q.get_nowait()
except queues.Empty:
print('Empty')
print(result)
That in one (lucky) case gave me:
Running
Empty
None
Running
it worked!!
In your code samples you have 4 out of 5 chances to get an error, so you might also spawn a pool or something to improve your chances of having a correct result.