#!/usr/bin/env python
# -*- coding:utf-8 -*-
# author: Changhua Gong
import random, time, queue
from multiprocessing.managers import BaseManager
from queue import Queue
'''
worker进程：执行任务，反馈结果
这部分内容与官网教程，有些出入
'''
# 从BaseManager继承QueueManager
class QueueManager(BaseManager):
pass
# 从网络上获取对应的queue
QueueManager.register("get_queue_t")
QueueManager.register("get_queue_rs")
# 连接到服务器，也就是运行task_master.py的机器:
server_ip = "127.0.0.1"
print("Connect to server...%s" % server_ip)
manager = QueueManager(address=(server_ip, 5000), authkey=b"love8013") # 保证端口和密匙一致
# 从网络连接
manager.connect()
# 获得通过网络访问的Queue对象
t = manager.get_queue_t()
rs = manager.get_queue_rs()
print("1")
# 从task队列中读取任务，并将结果写会result队列
for i in range(10):
try:
n = t.get(timeout=1)
print('run task %d * %d...' % (n, n))
r = '%d * %d = %d' % (n, n, n*n)
time.sleep(1)
rs.put(r)
except Queue.Empty:
print('task queue is empty.')
print('worker exit.')
