client.py :  » Database » Python-Remote-Objects » Pyro-3.10 » examples » distributed-computing2 » Python Open Source

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Python Open Source » Database » Python Remote Objects 
Python Remote Objects » Pyro 3.10 » examples » distributed computing2 » client.py
#!/usr/bin/env python
import Pyro.core
import Pyro.errors
import Queue
import random
from workitem import Workitem

NUMBER_OF_ITEMS = 40
Pyro.core.initClient()

numbers = {}

def processResult(item):
  print "Got result: %s (from %s)" % (item, item.processedBy)
  numbers[item.data] = item.result


def main():  
  print "\nThis program will calculate Prime Factorials of a bunch of random numbers."
  print "The more workers you will start (on different cpus/cores/machines),"
  print "the faster you will get the complete list of results!\n"
  dispatcher = Pyro.core.getProxyForURI("PYRONAME://:Distributed2.dispatcher")
  print "placing work items into dispatcher queue."
  for i in range(NUMBER_OF_ITEMS):
    number=random.randint(3211, 5000)*random.randint(177,3000)*37
    numbers[number] = None
    item = Workitem(i+1, number)
    dispatcher.putWork(item)
  print "getting results from dispatcher queue."
  resultCount=0
  while resultCount<NUMBER_OF_ITEMS:
    try:
      item = dispatcher.getResult()
      processResult(item)
      resultCount+=1
    except Queue.Empty:
      print "No results available yet. Work queue size:",dispatcher.workQueueSize()
  
  if dispatcher.resultQueueSize()>0:
    print "removing leftover results from the dispatcher"
    while True:
      try:
        item = dispatcher.getResult()
        processResult(item)
      except Queue.Empty:
        break

  print "\nComputed Prime Factorials follow:"
  for (number, factorials) in numbers.items():
    print number,"-->",factorials

if __name__=="__main__":
  main()
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