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# filename: task_worker.py

# -*- coding: utf-8 -*-

# 客户端：从服务器的任务队列中获取任务，进行计算并放入结果队列

import time, sys, Queue

from multiprocessing.managers import BaseManager

from multiprocessing import freeze_support

# 创建从BaseManager继承的QueueManager

class QueueManager(BaseManager):

pass

def start_cal():

# 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(1000):

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.')

m.close()

# 处理结束:

print ('worker exit.')

if __name__ == '__main__':

freeze_support()

start_cal()