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| Started by | MRAB <python@mrabarnett.plus.com> |
|---|---|
| First post | 2013-04-24 23:54 +0100 |
| Last post | 2013-04-24 23:54 +0100 |
| Articles | 1 — 1 participant |
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Re: Finding the source of an exception in a python multiprocessing program MRAB <python@mrabarnett.plus.com> - 2013-04-24 23:54 +0100
| From | MRAB <python@mrabarnett.plus.com> |
|---|---|
| Date | 2013-04-24 23:54 +0100 |
| Subject | Re: Finding the source of an exception in a python multiprocessing program |
| Message-ID | <mailman.1036.1366844061.3114.python-list@python.org> |
On 24/04/2013 20:25, William Ray Wing wrote: > I run a bit of python code that monitors my connection to the greater Internet. It checks connectivity to the requested target IP addresses, logging both successes and failures, once every 15 seconds. I see failures quite regularly, predictably on Sunday nights after midnight when various networks are undergoing maintenance. I'm trying to use python's multiprocessing library to run multiple copies in parallel to check connectivity to different parts of the country (they in no way interact with each other). > > On rare occasions (maybe once every couple of months) I get the following exception and traceback: > > Traceback (most recent call last): > File "./CM_Harness.py", line 12, in <module> > Foo = pool.map(monitor, targets) # and hands off two targets > File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/pool.py", line 227, in map > return self.map_async(func, iterable, chunksize).get() > File "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/multiprocessing/pool.py", line 528, in get > raise self._value > IndexError: list index out of range > > The code where the traceback occurs is: > > #!/usr/bin/env python > > """ Harness to call multiple parallel copies > of the basic monitor program > """ > > from multiprocessing import Pool > from Connection_Monitor import monitor > > targets = ["8.8.8.8", "www.ncsa.edu"] > pool = Pool(processes=2) # start 2 worker processes > Foo = pool.map(monitor, targets) # and hands off two targets > > > Line 12, in my code is simply the line that launches the underlying monitor code. I'm assuming that the real error is occurring in the monitor program that is being launched, but I'm at a loss as to what to do to get a better handle on what's going wrong. Since, as I said, I see failures quite regularly, typically on Sunday nights after midnight when various networks are undergoing maintenance, I don't _think_ the exception is being triggered by that sort of failure. > [snip] If the exception is being raised by 'monitor', you could try catching the exception within that (or write a simple wrapper function which calls it), write the traceback to a logfile, and then re-raise.
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