281 lines
9.2 KiB
Python
281 lines
9.2 KiB
Python
# encoding: UTF-8
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import threading
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import traceback
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import signal
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import zmq
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from msgpack import packb, unpackb
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from json import dumps, loads
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# 实现Ctrl-c中断recv
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signal.signal(signal.SIGINT, signal.SIG_DFL)
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########################################################################
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class RpcObject(object):
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"""
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RPC对象
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提供对数据的序列化打包和解包接口，目前提供了json和msgpack两种工具。
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msgpack：性能更高，但通常需要安装msgpack相关工具；
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json：性能略低但通用性更好，大部分编程语言都内置了相关的库。
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因此建议尽量使用msgpack，如果要和某些语言通讯没有提供msgpack时再使用json。
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如果希望使用其他的序列化工具也可以在这里添加。
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"""
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#----------------------------------------------------------------------
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def __init__(self):
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"""Constructor"""
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# 默认使用msgpack作为序列化工具
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self.useMsgpack()
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#----------------------------------------------------------------------
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def pack(self, data):
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"""打包"""
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pass
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#----------------------------------------------------------------------
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def unpack(self, data):
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"""解包"""
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pass
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#----------------------------------------------------------------------
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def __jsonPack(self, data):
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"""使用json打包"""
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return dumps(data)
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#----------------------------------------------------------------------
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def __jsonUnpack(self, data):
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"""使用json解包"""
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return loads(data)
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#----------------------------------------------------------------------
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def __msgpackPack(self, data):
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"""使用msgpack打包"""
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return packb(data)
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#----------------------------------------------------------------------
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def __msgpackUnpack(self, data):
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"""使用msgpack解包"""
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return unpackb(data)
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#----------------------------------------------------------------------
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def useJson(self):
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"""使用json作为序列化工具"""
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self.pack = self.__jsonPack
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self.unpack = self.__jsonUnpack
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#----------------------------------------------------------------------
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def useMsgpack(self):
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"""使用msgpack作为序列化工具"""
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self.pack = self.__msgpackPack
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self.unpack = self.__msgpackUnpack
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########################################################################
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class RpcServer(RpcObject):
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"""RPC服务器"""
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#----------------------------------------------------------------------
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def __init__(self, repAddress, pubAddress):
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"""Constructor"""
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super(RpcServer, self).__init__()
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# 保存功能函数的字典，key是函数名，value是函数对象
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self.__functions = {}
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# zmq端口相关
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self.__context = zmq.Context()
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self.__socketREP = self.__context.socket(zmq.REP) # 请求回应socket
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self.__socketREP.bind(repAddress)
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self.__socketPUB = self.__context.socket(zmq.PUB) # 数据广播socket
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self.__socketPUB.bind(pubAddress)
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# 工作线程相关
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self.__active = False # 服务器的工作状态
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self.__thread = threading.Thread(target=self.__run) # 服务器的工作线程
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#----------------------------------------------------------------------
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def start(self):
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"""启动服务器"""
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# 将服务器设为启动
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self.__active = True
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# 启动工作线程
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self.__thread.start()
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#----------------------------------------------------------------------
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def stop(self):
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"""停止服务器"""
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# 将服务器设为停止
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self.__active = False
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# 等待工作线程退出
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self.__thread.join()
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#----------------------------------------------------------------------
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def __run(self):
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"""连续运行函数"""
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while self.__active:
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# 从请求响应socket收取请求数据
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reqb = self.__socketREP.recv()
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# 序列化解包
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req = self.unpack(reqb)
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# 获取函数名和参数
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name, args, kwargs = req
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# 获取引擎中对应的函数对象，并执行调用，如果有异常则捕捉后返回
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try:
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func = self.__functions[name]
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r = func(*args, **kwargs)
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rep = [True, r]
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except Exception as e:
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rep = [False, traceback.format_exc()]
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# 序列化打包
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repb = self.pack(rep)
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# 通过请求响应socket返回调用结果
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self.__socketREP.send(repb)
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#----------------------------------------------------------------------
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def publish(self, topic, data):
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"""
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广播推送数据
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topic：主题内容
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data：具体的数据
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"""
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# 序列化数据
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datab = self.pack(data)
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# 通过广播socket发送数据
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self.__socketPUB.send_multipart([topic, datab])
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#----------------------------------------------------------------------
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def register(self, func):
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"""注册函数"""
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self.__functions[func.__name__] = func
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########################################################################
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class RpcClient(RpcObject):
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"""RPC客户端"""
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#----------------------------------------------------------------------
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def __init__(self, reqAddress, subAddress):
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"""Constructor"""
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super(RpcClient, self).__init__()
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# zmq端口相关
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self.__reqAddress = reqAddress
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self.__subAddress = subAddress
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self.__context = zmq.Context()
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self.__socketREQ = self.__context.socket(zmq.REQ) # 请求发出socket
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self.__socketSUB = self.__context.socket(zmq.SUB) # 广播订阅socket
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# 工作线程相关，用于处理服务器推送的数据
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self.__active = False # 客户端的工作状态
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self.__thread = threading.Thread(target=self.__run) # 客户端的工作线程
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#----------------------------------------------------------------------
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def __getattr__(self, name):
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"""实现远程调用功能"""
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# 执行远程调用任务
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def dorpc(*args, **kwargs):
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# 生成请求
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req = [name, args, kwargs]
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# 序列化打包请求
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reqb = self.pack(req)
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# 发送请求并等待回应
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self.__socketREQ.send(reqb)
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repb = self.__socketREQ.recv()
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# 序列化解包回应
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rep = self.unpack(repb)
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# 若正常则返回结果，调用失败则触发异常
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if rep[0]:
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return rep[1]
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else:
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raise RemoteException(rep[1])
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return dorpc
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#----------------------------------------------------------------------
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def start(self):
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"""启动客户端"""
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# 连接端口
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self.__socketREQ.connect(self.__reqAddress)
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self.__socketSUB.connect(self.__subAddress)
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# 将服务器设为启动
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self.__active = True
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# 启动工作线程
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self.__thread.start()
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#----------------------------------------------------------------------
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def stop(self):
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"""停止客户端"""
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# 将客户端设为停止
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self.__active = False
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# 等待工作线程退出
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self.__thread.join()
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#----------------------------------------------------------------------
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def __run(self):
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"""连续运行函数"""
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while self.__active:
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# 从订阅socket收取广播数据
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topic, datab = self.__socketSUB.recv_multipart()
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# 序列化解包
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data = self.unpack(datab)
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# 调用回调函数处理
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self.callback(topic, data)
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#----------------------------------------------------------------------
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def callback(self, topic, data):
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"""回调函数，必须由用户实现"""
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raise NotImplementedError
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#----------------------------------------------------------------------
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def subscribe(self, topic):
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"""
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订阅特定主题的广播数据
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可以使用topic=''来订阅所有的主题
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"""
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self.__socketSUB.setsockopt(zmq.SUBSCRIBE, topic)
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########################################################################
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class RemoteException(Exception):
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"""RPC远程异常"""
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#----------------------------------------------------------------------
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def __init__(self, value):
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"""Constructor"""
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self.__value = value
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#----------------------------------------------------------------------
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def __str__(self):
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"""输出错误信息"""
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return self.__value
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