在python多处理中的对象之间进行通信和比较？

Question

I am trying to find a way to compare between different objects (inherited from Thread class) in a way that keep parallilsm (real-time processing).

Every worker has three fields (message, count, n ). I am updating Count everytime. Let's say that I have three threads workers . I need to compare in my server based on the field count , how can I do access and compare between Worker.count of every worker, in a way that I keep parallelism

from Queue import Queue
from threading import Thread

import time

class Worker(Thread):

    def __init__(self, message, n):
        Thread.__init__(self)
        self.message = message
        self.count= 0
        self.n = n

    def run(self):
        while True:
            print(self.message)
            self.count+=1
            time.sleep(self.n)

class Comparator(Thread):

    def __init__(self, message, n):
        Thread.__init__(self)
        self.message = message
        self.n = n

    def run(self):
        while True:
            max= max([x.count for x in threads]) # how can I access to other threads 
            print  "max", max
            time.sleep(self.n)



thread1 = Worker("Test-1", 1)
thread2 = Worker("Test-2", 3)


s = Comparator("Test-3", 2)

s.start()
s.join()

threads = [thread1, thread2]

for g in threads:
    g.start()

for worker in threads:
      # wait for workers
      worker.join()

NOTE Using shared object here is not a good solution for me, using Queue() for example is not what I want, I need to do comparision based on updated field in the object that I update on the go (for simplicity, I use max() ).

Answer 1

you can pass the threads list to Comparator __init__() method :

[...]
class Comparator(Thread):

    def __init__(self, message, n, threads):
        Thread.__init__(self)
        self.threads = threads

    def run(self):
        while True:
            max= max([x.count for x in self.threads]) 
            print("max", max)
            time.sleep(self.n)

[...]
threads = [thread1, thread2]
s = Comparator("Test-3", 2, threads)