#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import time, sys
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.")