#!/usr/bin/env python
# -*- coding: utf-8 -*-

import random, time, Queue
from multiprocessing.managers import BaseManager
# 通过multiprocessing.managers模块把Queue通过网络暴露出去,就可以让其他机器的进程访问Queue了。


# 发送任务的队列:
task_queue = Queue.Queue()
# 接收结果的队列:
result_queue = Queue.Queue()

# 从BaseManager继承的QueueManager:
class QueueManager(BaseManager):
 pass

# 把两个Queue都注册到网络上, callable参数关联了Queue对象:
QueueManager.register('get_task_queue', callable=lambda: task_queue)
QueueManager.register('get_result_queue', callable=lambda: result_queue)
# 绑定端口5000, 设置验证码'abc':
manager = QueueManager(address=('', 5000), authkey=b'abc')
# 启动Queue:
manager.start()
# 获得通过网络访问的Queue对象:
task = manager.get_task_queue()
result = manager.get_result_queue()
# 放几个任务进去:
for i in range(10):
 n = random.randint(0, 10000)
 print('Put task %d...' % n)
 task.put(n)
# 从result队列读取结果:
print('Try get results...')
for i in range(10):
 r = result.get(timeout=100)
 try:
 print('Result: %s' % r)
 except:
 pass
# 关闭:
manager.shutdown()
print('master exit.')