DDR爱好者之家 Design By 杰米

上个项目中用到了ActiveMQ,只是简单应用,安装完成后直接是用就可以了。由于新项目中一些硬件的限制,需要把消息队列换成RabbitMQ。

RabbitMQ中的几种模式和机制比ActiveMQ多多了,根据业务需要,使用RPC实现功能,其中踩过的一些坑,有必要记录一下了。

Python RabbitMQ消息队列实现rpc

上代码,目录结构分为 c_server、c_client、c_hanlder:

c_server:

#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pika
import time
import json
import io
import yaml

s_exchange = input("请输入交换机名称-").decode('utf-8').strip()
s_queue = input("输入消息队列名称-").decode('utf-8').strip()
credentials = pika.PlainCredentials('system', 'manager')
connection = pika.BlockingConnection(pika.ConnectionParameters(host='XXX.XXX.XXX.XXX',credentials=credentials))
# 定义
channel = connection.channel()
channel.exchange_declare(exchange=s_exchange, exchange_type='direct')
channel.queue_declare(queue=s_queue, exclusive=True)
channel.queue_bind(queue=s_queue, exchange=s_exchange)

def s_manage(content):
 # 解决unicode转码问题 json.JSONDecoder().decode(content)
 str_content = yaml.safe_load(json.loads(content,encoding='utf-8'))
 str_res = {
  "errorid": 0,
  "resp": str_content['cmd'],
  "errorcont": "成功"
 }
 return json.dumps(str_res)

def on_request(ch, method, props, body):
 response = s_manage(body)
 ch.basic_publish(exchange='',
      routing_key=props.reply_to,
      properties=pika.BasicProperties(correlation_id =                props.correlation_id),
      body=response)
 ch.basic_ack(delivery_tag = method.delivery_tag)

channel.basic_qos(prefetch_count=1)
channel.basic_consume(on_request, queue=s_queue)

print(" [x] Awaiting RPC requests")
channel.start_consuming()

c_client:

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

import pika
import uuid
import json
import io

class RpcClient(object):
  def __init__(self):
    self.credentials = pika.PlainCredentials('guest', 'guest')
    self.connection = pika.BlockingConnection(pika.ConnectionParameters(host='XXX.XXX.XXX.XXX',
                                credentials=self.credentials))
    self.channel = self.connection.channel()

  def on_response(self, ch, method, props, body):
    if self.callback_id == props.correlation_id:
      self.response = body
    ch.basic_ack(delivery_tag=method.delivery_tag)

  def get_response(self, callback_queue, callback_id):
    '''取队列里的值,获取callback_queued的执行结果'''
    self.callback_id = callback_id
    self.response = None
    self.channel.queue_declare('q_manager', durable=True)
    self.channel.basic_consume(self.on_response, # 只要收到消息就执行on_response
                  queue=callback_queue)
    while self.response is None:
      self.connection.process_data_events() # 非阻塞版的start_consuming
    return self.response

  def call(self, queue_name, command, exchange,rout_key): # 命令下发
    '''队列里发送数据'''
    # result = self.channel.queue_declare(exclusive=False) #exclusive=False 必须这样写
    self.callback_queue = 'q_manager' # result.method.queue
    self.corr_id = str(uuid.uuid4())
    self.channel.basic_publish(exchange=exchange,
                  routing_key=queue_name,
                  properties=pika.BasicProperties(
                    reply_to=self.callback_queue, # 发送返回信息的队列name
                    correlation_id=self.corr_id, # 发送uuid 相当于验证码
                  ),
                  body=command)
    return self.callback_queue,self.corr_id

client

c_handler:

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

from c_client import *
import random, time
import threading
import json
import sys

class Handler(object):
  def __init__(self):
    self.information = {}  # 后台进程信息

  def check_all(self, *args):
    '''查看所有信息'''
    time.sleep(2)
    print('获取消息')
    for key in self.information:
      print("cid【%s】\t 队列【%s】\t 命令【%s】"%(key, self.information[key][0],
                               self.information[key][1]))

  def check_task(self, cmd):
    '''查看task_id执行结果'''
    time.sleep(2)
    try:
      task_id = int(cmd)
      print(task_id)
      callback_queue= self.information[task_id][2]
      callback_id= self.information[task_id][3]
      client = RpcClient()
      response = client.get_response(callback_queue, callback_id)
      print(response)
      # print(response.decode())
      del self.information[task_id]

    except KeyError as e :
      print("error: [%s]" % e)
    except IndexError as e:
      print("error: [%s]" % e)

  def run(self, user_cmd, host, exchange='', rout_key='',que=''):
    try:
      time.sleep(2)
      command = user_cmd
      task_id = random.randint(10000, 99999)
      client = RpcClient()
      response = client.call(queue_name=host, command=command,exchange=exchange,rout_key=que)
      self.information[task_id] = [host, command, response[0], response[1]]
    except IndexError as e:
      print("[error]:%s"%e)

  def reflect(self, str,cmd,host,exchange,que):
    '''反射'''
    if hasattr(self, str):
      getattr(self, str)(cmd,host,exchange,que)

  def start(self, m,cmd, host, exchange,que):
    while True:
      user_resp = input("输入处理消息内容ID-").decode('utf-8').strip()
      self.check_task(user_resp)
      str = m
      print(self.information)
      t1 = threading.Thread(target=self.reflect, args=(str,cmd,host,exchange,que)) #多线程
      t1.start()

s_exchange = input("请输入交换机名称-").decode('utf-8').strip()
s_queue = input("输入消息队列名称-").decode('utf-8').strip()
d_cmd_state =input("输入json命令-").decode('utf-8').strip()
s_cmd = json.dumps(d_cmd_state)
handler = Handler()
handler.start('run',s_cmd, s_queue, s_exchange, s_queue)

handler

注意要点:1、c_client 发布消息到rabbitmq 需要携带 服务器返回的队列名称,及corr_id

2、c_handler 做了处理,每次发送的内容都会放到task列表中,直到显示ID号,就可以查询返回的内容,调用如下:

Python RabbitMQ消息队列实现rpc

Python RabbitMQ消息队列实现rpc

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。

DDR爱好者之家 Design By 杰米
广告合作:本站广告合作请联系QQ:858582 申请时备注:广告合作(否则不回)
免责声明:本站资源来自互联网收集,仅供用于学习和交流,请遵循相关法律法规,本站一切资源不代表本站立场,如有侵权、后门、不妥请联系本站删除!
DDR爱好者之家 Design By 杰米

稳了!魔兽国服回归的3条重磅消息!官宣时间再确认!

昨天有一位朋友在大神群里分享,自己亚服账号被封号之后居然弹出了国服的封号信息对话框。

这里面让他访问的是一个国服的战网网址,com.cn和后面的zh都非常明白地表明这就是国服战网。

而他在复制这个网址并且进行登录之后,确实是网易的网址,也就是我们熟悉的停服之后国服发布的暴雪游戏产品运营到期开放退款的说明。这是一件比较奇怪的事情,因为以前都没有出现这样的情况,现在突然提示跳转到国服战网的网址,是不是说明了简体中文客户端已经开始进行更新了呢?