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Copy pathtask_master.py
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52 lines (42 loc) · 1.42 KB
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# -*- coding: utf-8 -*-
import random
from multiprocessing.managers import BaseManager
from multiprocessing import Queue
# 发送任务的队列
task_queue = Queue()
# 接收结果的队列
result_queue = Queue()
def return_task_queue():
global task_queue
return task_queue
def return_result_queue():
global result_queue
return result_queue
# 从BaseManager继承的QueueManager
class QueueManager(BaseManager):
pass
if __name__ == '__main__':
# 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=return_task_queue)
QueueManager.register('get_result_queue', callable=return_result_queue)
# 绑定端口5000, 设置验证码'abc'
manager = QueueManager(address=('127.0.0.1', 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10个任务进去
for i in range(10):
n = random.randint(0, 10000)
print('Put task %d' % n)
# 对task_queue进行写入数据，相当于分配任务
task.put(n)
# 从result队列读取结果:
print('Try get results.')
for i in range(10):
# 等待workers处理后返回的结果，响应过期时间为10秒
r = result.get(timeout=10)
print('Result:%s' % r)
# 关闭Queue
manager.shutdown()