DCS_V1.0/protocol/ProtocolManage.py

from utils.DBModels.ProtocolModel import (
    ModbusTcpMasterVar, ModbusTcpSlaveVar, ModbusRtuMasterVar, ModbusRtuSlaveVar,
    HartVar, TcRtdVar, AnalogVar, HartSimulateVar
)

from protocol.TCP.TCPVarManage import *
from protocol.TCP.TemToMv import temToMv
from protocol.RPC.RpcClient import RpcClient
from protocol.RPC.RpcServer import RpcServer
from utils import Globals
import threading
import time

class ProtocolManage(object):
    """通讯变量查找类，用于根据变量名在数据库模型中检索变量信息"""
    
    # 支持的模型类列表
    MODEL_CLASSES = [
        ModbusTcpMasterVar, ModbusTcpSlaveVar,
        ModbusRtuMasterVar, ModbusRtuSlaveVar,
        HartVar, TcRtdVar, AnalogVar, HartSimulateVar
    ]

    def __init__(self):
        # self.tcpVarManager = TCPVarManager('192.168.1.50', 5055)
        self.tcpVarManager = TCPVarManager('127.0.0.1', 8000)
        self.writeTC = [0] * 8
        self.writeRTD = [0] * 8
        self.RpcClient = None
        self.RpcServer = None
        self.varInfoCache = {}  # 保持驼峰命名
        self.historyDBManage = Globals.getValue('historyDBManage')
        self.variableValueCache = {}  # {varName: value}
        self.refreshVarCache()
        self.cacheLock = threading.Lock()
        self.readThreadStop = threading.Event()
        self.readThread = threading.Thread(target=self._backgroundReadAllVariables, daemon=True)
        self.readThread.start()


    def clearVarCache(self):
        """清空变量信息缓存"""
        self.varInfoCache.clear()

    def refreshVarCache(self):
        """重新加载所有变量信息到缓存（可选实现）"""
        self.varInfoCache.clear()
        for modelClass in self.MODEL_CLASSES:
            try:
                for varInstance in modelClass.select():
                    varName = getattr(varInstance, 'varName', None)
                    if varName:
                        varData = {}
                        for field in varInstance._meta.sorted_fields:
                            fieldName = field.name
                            varData[fieldName] = getattr(varInstance, fieldName)
                        self.varInfoCache[varName] = {
                            'modelType': modelClass.__name__,
                            'variableData': varData
                        }
            except Exception as e:
                print(f"刷新缓存时出错: {modelClass.__name__}: {e}")

    def lookupVariable(self, variableName):
        """
        根据变量名检索变量信息（优先查缓存）
        :param variableName: 要查询的变量名
        :return: 包含变量信息和模型类型的字典，如果未找到返回None
        """
        if variableName in self.varInfoCache:
            # print(111)
            return self.varInfoCache[variableName]
        for modelClass in self.MODEL_CLASSES:
            varInstance = modelClass.getByName(variableName)
            if varInstance:
                varData = {}
                for field in varInstance._meta.sorted_fields:
                    fieldName = field.name
                    varData[fieldName] = getattr(varInstance, fieldName)
                result = {
                    'modelType': modelClass.__name__,
                    'variableData': varData
                }
                self.varInfoCache[variableName] = result  # 写入缓存
                return result
        return None

    def setClentMode(self, clentName, rabbitmqHost='localhost'):
        if self.RpcClient:
            self.RpcClient.close()
        self.RpcClient = RpcClient(clentName, rabbitmqHost, self)
        # 使用非阻塞方式启动RPC客户端
        self.RpcClient.startNonBlocking()
    
    def closeClent(self):
        if self.RpcClient:
            self.RpcClient.close()
        self.RpcClient = None
    
    def setServerMode(self, rabbitmqHost='localhost'):
        if self.RpcServer:
            return
        self.RpcServer = RpcServer(rabbitmqHost)
        
    
    def addClient(self, clientName):
        if self.RpcServer:
            self.RpcServer.addClient(clientName = clientName)
        else:
            return
        # print(11111111111)
        # time.sleep(3)
        # print(self.RpcServer.broadcastRead())
        # self.RpcServer.broadcastRead()

    def closeServer(self):
        if self.RpcServer:
            self.RpcServer.close()
        self.RpcServer = None
    
    # @classmethod
    def writeVariableValue(self, variableName, value, trigger = None, timeoutMS = 2000):
        """
        根据变量名写入变量值，根据变量类型进行不同处理（不保存到数据库）
        
        :param variableName: 变量名
        :param value: 要写入的值
        :return: 写入成功返回True，否则返回False
        """
        varInfo = self.lookupVariable(variableName)
        if not varInfo:
            if self.RpcServer:
                    existsVar, clientNames = self.RpcServer.existsVar(variableName)
                    if existsVar:
                        value = self.RpcServer.writeVar(variableName, value)
                        return True
                    else:
                        return False
            return False
        
        modelType = varInfo['modelType']
        info = varInfo['variableData']

        # print(info)
        
        try:
        # 拆分为四个独立的Modbus协议条件判断
            if modelType == 'ModbusTcpMasterVar':
                # 仅设置值，不保存到数据库
                pass
            
            elif modelType == 'ModbusTcpSlaveVar':
                # 仅设置值，不保存到数据库
                pass
            
            elif modelType == 'ModbusRtuMasterVar':
                # 仅设置值，不保存到数据库
                pass
            
            elif modelType == 'ModbusRtuSlaveVar':
                # 仅设置值，不保存到数据库
                pass
            
            # HART协议变量处理
            elif modelType == 'HartVar':
                # 仅设置值，不保存到数据库
                pass
            
            # 温度/RTD变量处理
            elif modelType == 'TcRtdVar':
                channel = int(info['channelNumber']) - 1
                varType = info['varType']
                compensationVar = float(info['compensationVar'])
                varModel = info['varModel']
                model = self.getModelType(varModel) if self.getModelType(varModel) else localModel
                # print(value + compensationVar)
                if model == localModel:
                    if varType == 'PT100':
                        self.writeRTD[channel] = value
                    else:
                        self.writeTC[channel] = value
                if varType in ['R', 'S', 'B', 'J', 'T', 'E', 'K', 'N', 'C', 'A', 'PT100'] and model != SimModel:
                    value = temToMv(varType, value + compensationVar) # 直接补偿温度 补偿mv调整到括号外 
                if trigger and varType in ['R', 'S', 'B', 'J', 'T', 'E', 'K', 'N', 'C', 'A']:
                    trigger = TCTrigger
                if trigger and varType in ['PT100']:
                    trigger = RTDTrigger
                self.tcpVarManager.writeValue(varType, channel, value, trigger=trigger, model=model, timeoutMS=timeoutMS)
                
                
            
            # 模拟量变量处理
            elif modelType == 'AnalogVar':
                channel = int(info['channelNumber']) - 1
                varType = info['varType']
                varModel = info['varModel']
                model = self.getModelType(varModel) if self.getModelType(varModel) else localModel
                if info['varType'] in ['AI','AO']:
                    value = self.getRealAO(value, info['max'], info['min'])
                trigger = FPGATrigger if trigger else trigger
                self.tcpVarManager.writeValue(varType, channel, value, trigger=trigger, model=model, timeoutMS=timeoutMS)
               
                # print(1) 
            # HART模拟变量处理
            elif modelType == 'HartSimulateVar':
                # 仅设置值，不保存到数据库
                pass
                

            if self.RpcClient:
                self.RpcClient.setVarContent(variableName, value, info['min'], info['max'], info['varType'])
            return True
        except Exception as e:
            print(f"写入变量值失败: {str(e)}")
            return False
    
    def _backgroundReadAllVariables(self, interval=0.5):
        while not self.readThreadStop.is_set():
            allVarNames = list(self.getAllVariableNames())
            for varName in allVarNames:
                value = self._readVariableValueOriginal(varName)
                with self.cacheLock:
                    self.variableValueCache[varName] = value
            time.sleep(interval)

    def getAllVariableNames(self):
        # 直接从缓存获取所有变量名，降低与数据库模型的耦合
        return list(self.varInfoCache.keys())

    def _readVariableValueOriginal(self, variableName):
        # 完全保留原有读取逻辑
        varInfo = self.lookupVariable(variableName)
        value = None
        if not varInfo:
            if self.RpcServer:
                existsVar, clientNames = self.RpcServer.existsVar(variableName)
                if existsVar:
                    value = float(self.RpcServer.getVarValue(clientNames[0], variableName)['value'])
                    # return value
                else:
                    return None
            return None
        modelType = varInfo['modelType']
        info = varInfo['variableData']
        try:
            # 拆分为独立的协议条件判断
            if modelType == 'ModbusTcpMasterVar':
                pass
            elif modelType == 'ModbusTcpSlaveVar':
                pass
            elif modelType == 'ModbusRtuMasterVar':
                pass
            elif modelType == 'ModbusRtuSlaveVar':
                pass
            elif modelType == 'HartVar':
                pass
            elif modelType == 'TcRtdVar':
                channel = int(info['channelNumber']) - 1
                varType = info['varType']
                varModel = info['varModel']
                model = self.getModelType(varModel)
                if model == SimModel:
                    if varType == 'PT100':
                        value = self.tcpVarManager.simRTDData[channel]
                    elif varType in ['R', 'S', 'B', 'J', 'T', 'E', 'K', 'N', 'C', 'A']:
                        value = self.tcpVarManager.simTCData[channel]
                    # if self.RpcClient:
                        # self.RpcClient.setVarContent(variableName, value, info['min'], info['max'], info['varType'])
                    # return value
                else:
                    if varType == 'PT100':
                        value = self.writeRTD[channel]
                    elif varType in ['R', 'S', 'B', 'J', 'T', 'E', 'K', 'N', 'C', 'A']:
                        value = self.writeTC[channel]
                    # if self.RpcClient:
                    #     self.RpcClient.setVarContent(variableName, value, info['min'], info['max'], info['varType'])
                    # return value
            elif modelType == 'AnalogVar':
                channel = int(info['channelNumber']) - 1
                varType = info['varType']
                varModel = info['varModel']
                model = self.getModelType(varModel)
                value = self.tcpVarManager.readValue(varType, channel, model=model)
                if varType in ['AI','AO']:
                    value = self.getRealAI(value, info['max'], info['min'])
                
                # return value
            elif modelType == 'HartSimulateVar':
                pass
            if value is not None:
                if self.RpcClient:
                    self.RpcClient.setVarContent(variableName, value, info['min'], info['max'], info['varType'])
                self.historyDBManage.writeVarValue(variableName, value)
                # print('sucess')
                return value
            else:
                return None
        except Exception as e:
            print(f"读取变量值失败: {str(e)}")
            return None

    def readVariableValue(self, variableName):
        # 优先从缓存读取，未命中则走原有逻辑
        with self.cacheLock:
            if variableName in self.variableValueCache:
                return self.variableValueCache[variableName]
        return self._readVariableValueOriginal(variableName)

    
    # def sendTrigger(self, variableName, value, 	timeoutMS):
    #     self.writeVariableValue(variableName, value, trigger=True, timeoutMS = timeoutMS)

    def recvDeltaT(self):
        return self.tcpVarManager.recvDeltaT()

    def shutdown(self):
        self.tcpVarManager.shutdown()
        
    
    
    def getRealAO(self, value,highValue, lowValue):
        if highValue:
            lowValue = float(lowValue)
            highValue = float(highValue)
            return (16 * (value - lowValue) + 4 * (highValue-lowValue))/(1000 * (highValue - lowValue))
        else:
            return value/1000

    def getRealAI(self, mA, highValue, lowValue):
        """
        将毫安值转换为实际工程值（getRealAO的反向计算）
        
        :param mA: 毫安值
        :param highValue: 工程值上限
        :param lowValue: 工程值下限
        :return: 实际工程值
        """
        try:
            if highValue:
                lowValue = float(lowValue)
                highValue = float(highValue)
                # 反向计算: value = (1000 * mA * (highValue - lowValue) - 4*(highValue - lowValue)) / 16 + lowValue
                return (1000 * mA * (highValue - lowValue) - 4 * (highValue - lowValue)) / 16.0 + lowValue
            else:
                return mA * 1000
        except Exception as e:
            print(f"工程值转换失败: {str(e)}")
            return 0.0  # 默认返回0避免中断流程
    
    def getModelType(self, varModel):
        if varModel == '本地值':
            return localModel
        elif varModel == '远程值':
            return NetModel
        elif varModel == '模拟值':
            return SimModel

    def disconnectClient(self, clientName):
        if self.RpcServer:
            self.RpcServer.removeClient(clientName)