我就废话不多说了，直接上代码吧！

# -*- coding:utf8 -*-
import paho.mqtt.client as mqtt
from multiprocessing import Process, Queue
import time, random, os
import camera_person_num

MQTTHOST = "172.19.4.4"
MQTTPORT = 1883
mqttClient = mqtt.Client()
q = Queue() 


# 连接MQTT服务器
def on_mqtt_connect():
  mqttClient.connect(MQTTHOST, MQTTPORT, 60)
  mqttClient.loop_start()


# 消息处理函数
def on_message_come(lient, userdata, msg):
  # print(msg.topic + ":" + str(msg.payload.decode("utf-8")))

  q.put(msg.payload.decode("utf-8")) # 放入队列
  print("产生消息", msg.payload.decode("utf-8"))
  # 消息处理开启多进程
  # p = Process(target=talk, args=("/camera/person/num/result", msg.payload.decode("utf-8")))
  # p.start()


def consumer(q, pid):
  print("开启消费序列进程", pid)
  while True:
    msg = q.get()
    # p = Process(target=talk, args=("/camera/person/num/result", msg, pid))
    # p.start()
    talk("/camera/person/num/result", msg, pid) 


# subscribe 消息订阅
def on_subscribe():
  mqttClient.subscribe("test123", 1) # 主题为"test"
  mqttClient.on_message = on_message_come # 消息到来处理函数


# publish 消息发布
def on_publish(topic, msg, qos):
  mqttClient.publish(topic, msg, qos);


# 多进程中发布消息需要重新初始化mqttClient
def talk(topic, msg, pid):
  cameraPsersonNum = camera_person_num.CameraPsersonNum(msg)
  t_max, t_mean, t_min = cameraPsersonNum.personNum()
  # time.sleep(20)
  print("消费消息", pid, msg) 
  mqttClient2 = mqtt.Client()
  mqttClient2.connect(MQTTHOST, MQTTPORT, 60)
  mqttClient2.loop_start()
  mqttClient2.publish(topic, '{"max":' + str(t_max) + ',"mean":' + str(t_mean) + ',"min:"' + t_min + '}', 1)
  mqttClient2.disconnect()


def main():

  on_mqtt_connect()
  on_subscribe()
  for i in range(1, 3):
    c1 = Process(target=consumer, args=(q, i))
    c1.start()
  while True:
    pass


if __name__ == '__main__':
  main()

以上这篇python 多进程队列数据处理详解就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持python博客。