# task_master.py

import random, time, queue
from multiprocessing.managers import BaseManager

# 發(fā)送任務(wù)的隊(duì)列:
task_queue = queue.Queue()
# 接收結(jié)果的隊(duì)列:
result_queue = queue.Queue()

# 從BaseManager繼承的QueueManager:
class QueueManager(BaseManager):
  pass

# 把兩個(gè)Queue都注冊(cè)到網(wǎng)絡(luò)上, callable參數(shù)關(guān)聯(lián)了Queue對(duì)象:
QueueManager.register('get_task_queue', callable=lambda: task_queue)
QueueManager.register('get_result_queue', callable=lambda: result_queue)
# 綁定端口5000, 設(shè)置驗(yàn)證碼'abc':
manager = QueueManager(address=('', 5000), authkey=b'abc')
# 啟動(dòng)Queue:
manager.start()
# 獲得通過網(wǎng)絡(luò)訪問的Queue對(duì)象:
task = manager.get_task_queue()
result = manager.get_result_queue()
# 放幾個(gè)任務(wù)進(jìn)去:
for i in range(10):
  n = random.randint(0, 10000)
  print('Put task %d...' % n)
  task.put(n)
# 從result隊(duì)列讀取結(jié)果:
print('Try get results...')
for i in range(10):
  r = result.get(timeout=10)
  print('Result: %s' % r)
# 關(guān)閉:
manager.shutdown()
print('master exit.')

# task_worker.py

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

# 創(chuàng)建類似的QueueManager:
class QueueManager(BaseManager):
  pass

# 由于這個(gè)QueueManager只從網(wǎng)絡(luò)上獲取Queue，所以注冊(cè)時(shí)只提供名字:
QueueManager.register('get_task_queue')
QueueManager.register('get_result_queue')

# 連接到服務(wù)器，也就是運(yùn)行task_master.py的機(jī)器:
server_addr = '127.0.0.1'
print('Connect to server %s...' % server_addr)
# 端口和驗(yàn)證碼注意保持與task_master.py設(shè)置的完全一致:
m = QueueManager(address=(server_addr, 5000), authkey=b'abc')
# 從網(wǎng)絡(luò)連接:
m.connect()
# 獲取Queue的對(duì)象:
task = m.get_task_queue()
result = m.get_result_queue()
# 從task隊(duì)列取任務(wù),并把結(jié)果寫入result隊(duì)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.')
# 處理結(jié)束:
print('worker exit.')