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

' a test module '

import time, sys, Queue
from multiprocessing.managers import BaseManager

# 创建类似的QueueManager:
class QueueManager(BaseManager):
 pass

# 由于这个QueueManager只从网络上获取Queue,所以注册时只提供名字:
QueueManager.register('get_task_queue')
QueueManager.register('get_result_queue')

# 连接到服务器,也就是运行task_master.py的机器:
server_addr = '127.0.0.1'
print('Connect to server %s...' % server_addr)
# 端口和验证码注意保持与task_master.py设置的完全一致:
m = QueueManager(address=(server_addr, 5000), authkey=b'abc')
# 从网络连接:
m.connect()
# 获取Queue的对象:
task = m.get_task_queue()
result = m.get_result_queue()
# 从task队列取任务,并把结果写入result队列:
for i in range(10):
 try:
 n = task.get(timeout=1)
 print('run task %d * %d...' % (n, n))
 r = '%d * %d = %d' % (n, n, n*n)
 time.sleep(1)
 result.put(r)
 except Queue.Empty:
 print('task queue is empty.')
# 处理结束:
print('worker exit.')