I have a script that looks something like this:
#!/usr/bin/env python
# encoding: utf-8
import time, random, os, multiprocessing
def main():
NPROCESSES = 5
pool = multiprocessing.Pool(processes=NPROCESSES)
a = [1,2,3,4,5,6,7,8,9,0]
for _ in pool.imap_unordered(do_task, a):
pass
def do_task(n):
try:
might_crash(n)
except Hell, e:
print e, " crashed."
def might_crash(n):
time.sleep(3*random.random())
if random.randrange( 3 ) == 0:
raise Hell(n)
print n
class Hell(Exception):
pass
if __name__=="__main__":
main()
This script will normally print the values from 'a', but might_crash() will randomly raise an exception.
I want to catch these exceptions and put the current do_task() back in the queue to retry later.
How do I put the current task back in the queue if it should fail?
You could collect results from do_task
, check which results are instances of Hell
, stuff those tasks into a list new_tasks
, and loop until there are no new_tasks
:
import time
import random
import os
import multiprocessing as mp
def main():
NPROCESSES = 5
pool=mp.Pool(NPROCESSES)
a = [1,2,3,4,5,6,7,8,9,0]
new_tasks=a
while new_tasks:
a=new_tasks
new_tasks=[]
for result in pool.imap_unordered(do_task, a):
if isinstance(result,Hell):
new_tasks.append(result.args[0])
else:
print(result)
def do_task(n):
try:
result=might_crash(n)
except Hell as e:
print("{0} crashed.".format(e.args[0]))
result=e
return result
def might_crash(n):
time.sleep(3*random.random())
if random.randrange( 3 ) == 0:
raise Hell(n)
return '{0} done'.format(n)
class Hell(Exception):
pass
if __name__=="__main__":
main()
yields
1 done
6 crashed.
4 done
7 crashed.
5 done
9 done
3 done
2 crashed.
8 done
0 crashed.
0 crashed.
2 done
7 crashed.
6 done
0 done
7 done
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