基于RabbitMQ RPC实现的主机异步管理

README:

1、需求
- [ ] 利用RibbitMQ进行数据交互
- [ ] 可以对多台服务器进行批量操作
- [ ] 执行命令后不等待命令的执行结果，而是直接让输入下一条命令，结果出来后自动打印
- [ ] 实现异步操作

 备注

- [ ] RabbitMQ队列：
                    ①执行命令时，队列名为“rpc_queue2”
                    ②查询数据时，用的是回调时随机生成的callback_queue名
                            ③conf/settings——Rabbitmq地址“192.168.17.102”，端口：5672，用户名：admin，密码：admin
- [ ] SSH:
                RPC_Server/server.py——paramiko操作连接的测试Linux默认端口22,用户名：root，密码：123456
- [ ] threading多线程：
                    实现命令执行后不等待执行结果，依然可以输入新的指令

- [ ] 执行命令格式：
                 -->>run ifconfig host 192.168.20.22 192.168.20.23
                        dir     server端要执行的命令
                        host    host后可跟一个或多个可以通过rabbitMQ的服务器地址

- [ ] 查看后台所有的TASK_ID信息：
                 -->>check_task
     显示结果样式：TASK_ID【76786】    HOST【192.168.20.22】    COMMAND【dir】
                  TASK_ID【10307】    HOST【192.168.20.23】    COMMAND【dir】

- [ ] 查看TASK_ID对应的执行结果：
                 -->>get_task 10307
程序目录结构：
├── README.md
├── RPC_Client
│   ├── bin
│   │   ├── __init__.py
│   │   └── start.py  #客户端启动程序
│   ├── conf
│   │   ├── __init__.py
│   │   ├── __pycache__
│   │   │   ├── __init__.cpython-36.pyc
│   │   │   └── settings.cpython-36.pyc
│   │   └── settings.py
│   ├── core
│   │   ├── __init__.py
│   │   ├── main.py
│   │   └── __pycache__
│   │       ├── __init__.cpython-36.pyc
│   │       └── main.cpython-36.pyc
│   └── modules
│       ├── client.py
│       ├── __init__.py
│       └── __pycache__
│           ├── client.cpython-36.pyc
│           └── __init__.cpython-36.pyc
└── RPC_Server
    ├── conf
    │   ├── __pycache__
    │   │   └── settings.cpython-36.pyc
    │   └── settings.py
    └── server.py #server端启动程序

程序启动：
    客户端启动：RPC_Client/bin/start.py
    服务端启动：RPC_Server/server.py

RPC 客户端bin目录start.py

import os,sys,platform

if platform.system() == 'Windows':
    BASE_DIR = '\\'.join(os.path.abspath(os.path.dirname(__file__)).split('\\')[:-1])
else:
    BASE_DIR = '/'.join(os.path.abspath(os.path.dirname(__file__)).split('/')[:-1])

sys.path.append(BASE_DIR)

from core import main

if __name__ == "__main__":
    handle = main.Handle()
    handle.start()

RPC客户度conf目录 settings.py

import os,sys,platform

if platform.system() == 'Windows':
    BASE_DIR = '\\'.join(os.path.abspath(os.path.dirname(__file__)).split('\\')[:-1])
else:
    BASE_DIR = '/'.join(os.path.abspath(os.path.dirname(__file__)).split('/')[:-1])

sys.path.append(BASE_DIR)
RabbitmqHost = '192.168.17.102'
RabbitmqUser = 'admin'
RabbitmqPwd = 'admin'
credentails = pika.PlainCredentials(RabbitmqUser,RabbitmqPwd)

RPC客户端主程序core/main.py

import pika
import random
import threading
from modules import client
from conf import settings

class Handle(object):
    def __init__(self):
        # 建立连接，指定服务器的ip地址
        self.connection = pika.BlockingConnection(pika.ConnectionParameters(host=settings.RabbitmqHost,credentials=settings.credentails))
        # 建立一个会话，每个channel代表一个会话任务
        self.channel = self.connection.channel()

    def run_cmd(self,cmd, host):
        rpc_client = client.Client(self.connection,self.channel)
        task_id = str(random.randint(1000,9999))  #生成4位的Correlation id
        response = rpc_client.call(cmd, host)
        self.corr_id = response[1]
        print('Task_ID',task_id)
        self.info[task_id] = [self.corr_id,host,cmd,response[0],response[1]]
    def start(self):
        self.info = {}  #task 返回任务信息字典
        help = '''
        命令格式
            执行系统命令：run command host  eg: run ls 10.10.0.10
            查看所有执行任务：check_task
            查看指定任务结果：get_task id eg:get_task 6723
        '''
        print(help)
        while True:
            msg = input(">> ").strip()
            if msg.startswith('run') and len(msg.split()) >= 3:
                cmd = msg.split()[1]
                #多线程运行
                th_join = []
                for host in msg.split()[2:]:
                    th = threading.Thread(target=self.run_cmd,args=(cmd,host,))
                    th.start()
                    th_join.append(th)
                for t in th_join:
                    t.join()
            elif msg == 'check_task':
                if not self.info:
                    print("没有任务队列")
                    continue
                else:
                    for taskid,task in self.info.items():
                        print('TaskID [%s]     Host [%s]     COMMAND [%s]'%(taskid,task[1],task[2]))
            elif msg.startswith('get_task'):
                rpc_client = client.Client(self.connection,self.channel)
                if msg.split()[1] in self.info:
                    task_id = msg.split()[1]
                    callback_queue = self.info[task_id][3]
                    correlation_id = self.info[task_id][4]
                    task_result = rpc_client.get_task(callback_queue,correlation_id)
                    del self.info[task_id]
                    print(task_result.decode().strip())
                else:
                    print('输入的task ID不存在！')
                    continue
            elif not msg:
                continue
            else:
                print('输入错误，请重新输入！')
                continue

RPC客户端modules

import pika
import random
import uuid
class Client(object):
    def __init__(self,connection,channel):
        self.connection = connection
        self.channel = channel

    # 对回调队列中的响应进行处理的函数
    def on_response(self, ch, method, props, body):
        if self.correlation_id == props.correlation_id:
            self.response = body
        ch.basic_ack(delivery_tag=method.delivery_tag)

    def get_task(self,callback_queue,correlation_id):
        # 初始化 response
        self.response = None

        self.correlation_id = correlation_id

        # 客户端订阅回调队列，当回调队列中有响应时，调用`on_response`方法对响应进行处理;
        self.channel.basic_consume(self.on_response,queue=callback_queue)

        while self.response is None:
            self.connection.process_data_events()
        return self.response

    # 发出RPC请求
    def call(self,cmd,host):
        # 声明回调队列，再次声明的原因是，服务器和客户端可能先后开启，该声明是幂等的，多次声明，但只生效一次
        result = self.channel.queue_declare(exclusive=True)
        # 将次队列指定为当前客户端的回调队列
        self.callback_queue = result.method.queue
        msg = cmd + " " + "".join(host)
        self.corr_id = str(uuid.uuid4())
        #self.corr_id = corr_id
        # 发送RPC请求内容到RPC请求队列`rpc_queue`，同时发送的还有`reply_to`和`correlation_id`
        self.channel.basic_publish(exchange='',
                                   routing_key='rpc_queue2',
                                   properties=pika.BasicProperties(
                                       reply_to=self.callback_queue,
                                       correlation_id=self.corr_id,
                                   ),
                                   body=msg)
        return self.callback_queue,self.corr_id

RPC服务器settings.py

RabbitmqHost = '192.168.17.102'
RabbitmqUser = 'admin'
RabbitmqPwd = 'admin'
credentails = pika.PlainCredentials(RabbitmqUser,RabbitmqPwd)

RPC服务端主程序：

#!/usr/bin/env python
import pika
import paramiko
import os,sys,platform

if platform.system() == 'Windows':
    BASE_DIR = '\\'.join(os.path.abspath(os.path.dirname(__file__)).split('\\')[:-1])
else:
    BASE_DIR = '/'.join(os.path.abspath(os.path.dirname(__file__)).split('/')[:-1])

sys.path.append(BASE_DIR)
from conf import  settings

# 建立连接，服务器地址为localhost，可指定ip地址
connection = pika.BlockingConnection(pika.ConnectionParameters(host=settings.RabbitmqHost,credentials=settings.credentails))
# 建立会话
channel = connection.channel()

# 声明RPC请求队列
channel.queue_declare(queue='rpc_queue2')

# 数据处理方法
def exec_cmd(cmd,host):
    ssh = paramiko.SSHClient()
    ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
    ssh.connect(hostname=host, port=22, username='root', password='123456',timeout=10)
    stdin, stdout, stderr = ssh.exec_command(cmd)
    stdout_result = stdout.read()
    stderr_result = stderr.read()
    result = stdout_result if stdout_result else stderr_result
    return result.decode()
    ssh.close()

# 对RPC请求队列中的请求进行处理
def on_request(ch, method, props, body):
    cmd = body.split()[0]
    host = body.split()[1]
    # 调用数据处理方法
    response = exec_cmd(cmd,host)
    # 将处理结果(响应)发送到回调队列
    ch.basic_publish(exchange='',
                     routing_key=props.reply_to,
                     properties=pika.BasicProperties(correlation_id = props.correlation_id),
                     body=str(response))
    ch.basic_ack(delivery_tag=method.delivery_tag)

channel.basic_consume(on_request, queue='rpc_queue2')
print(" [x] Awaiting RPC requests")
channel.start_consuming()