package adaptors import ( "encoding/json" "fmt" "goInOut/consumers/GZG2ZJHL/protoFiles_zjhl" "strconv" "strings" //"goInOut/consumers/GZG2ZJHL/protoFiles_zjhl" "goInOut/consumers/HBJCAS" "goInOut/dbOperate" "goInOut/models" "google.golang.org/protobuf/proto" "log" "math" "time" ) // Adaptor_ZWYES_ZJHL 知物云果子沟es 特征数据 to 中交华联平台 type Adaptor_ZWYES_ZJHL struct { //传感器code转换信息 PointInfo map[int64]map[int64]int64 StructInfo map[int64]int64 //一些必要信息 Info map[string]string Redis *dbOperate.RedisHelper } func (the Adaptor_ZWYES_ZJHL) Transform(structId int64, factorId int, rawMsg string) []NeedPush { esAggDateHistogram := HBJCAS.EsThemeAggDateHistogram{} var needPush []NeedPush err := json.Unmarshal([]byte(rawMsg), &esAggDateHistogram) if err != nil { return nil } Payload := the.EsAggTopToHBJCAS(structId, factorId, esAggDateHistogram) if len(Payload) == 0 { return needPush } needPush = append(needPush, NeedPush{ Payload: Payload, }) return needPush } func (the Adaptor_ZWYES_ZJHL) EsAggTopToHBJCAS(structId int64, factorId int, esAggs HBJCAS.EsThemeAggDateHistogram) (result []byte) { buckets := esAggs.Aggregations.GroupSensor.Buckets if len(buckets) == 0 { log.Printf("[s=%d,f=%d] ,es agg数据数量==0", structId, factorId) return } //设施唯一编码(省平台) uniqueCode := the.getUniqueCode(structId) if uniqueCode == 0 { log.Printf("structId=%d,无匹配省平台uniqueCode", structId) return } //数据汇总 complexData := &protoFiles_zjhl.ComplexData{} for _, sensorBucket := range buckets { sensorId := sensorBucket.Key for _, dateBucket := range sensorBucket.GroupDate.Buckets { //优先redis获取 station := models.Station{} k1 := fmt.Sprintf("station:%d", sensorId) errRedis := the.Redis.GetObj(k1, &station) if errRedis != nil { log.Printf("redis 获取[s:%d,f:%d]测点[%d]标签异常", structId, factorId, sensorId) continue } monitorCode := the.getPointCodeFromLabel(station.Labels) if monitorCode == 0 { log.Printf("redis 获取[s:%d,f:%d]测点[%d]标签,信息转换int64异常,跳过", structId, factorId, sensorId) continue } dataBody := the.EsAgg2StatisticData(factorId, monitorCode, dateBucket) if dataBody == nil { log.Printf("[s:%d,f:%d]测点[%d] 特征数据组包异常,跳过", structId, factorId, sensorId) continue } dataDefinition := &protoFiles_zjhl.DataDefinition{ DataType: protoFiles_zjhl.DataType_STATISTICS, //BridgeCode: fmt.Sprintf("%d", uniqueCode), //提示 不传该字段 DataBody: dataBody, } complexData.SensorData = append(complexData.SensorData, dataDefinition) } } v, _ := json.Marshal(complexData) log.Printf("[struct:%d,factor:%d] 特征数据=> %s", structId, factorId, v) result, _ = proto.Marshal(complexData) return result } func (the Adaptor_ZWYES_ZJHL) getMonitorTypeByFactorId(factorId int) protoFiles_zjhl.MonitoryType { //结构温度4 桥墩倾斜 15 裂缝18 支座位移20 桥面振动28 加速度三项监测592 switch factorId { case 4: return protoFiles_zjhl.MonitoryType_TMP case 15: return protoFiles_zjhl.MonitoryType_INC case 18: return protoFiles_zjhl.MonitoryType_CRK case 20: return protoFiles_zjhl.MonitoryType_DIS case 28: return protoFiles_zjhl.MonitoryType_VIB case 592: return protoFiles_zjhl.MonitoryType_VIB default: log.Printf("factorId=%d,无匹配的MonitorType", factorId) return protoFiles_zjhl.MonitoryType_CMM } } func (the Adaptor_ZWYES_ZJHL) EsAgg2StatisticData(factorId int, monitorCode int64, dateBucket HBJCAS.BucketsXY) *protoFiles_zjhl.DataDefinition_StatisticData { Atime := dateBucket.KeyAsString.Add(-8 * time.Hour).UnixMilli() maxAbsoluteValueX := max(math.Abs(dateBucket.X.Max), math.Abs(dateBucket.X.Min)) avgValueX := dateBucket.X.Avg rootMeanSquareX := math.Sqrt(dateBucket.X.SumOfSquares / float64(dateBucket.X.Count)) maxAbsoluteValueY := max(math.Abs(dateBucket.Y.Max), math.Abs(dateBucket.Y.Min)) avgValueY := dateBucket.Y.Avg rootMeanSquareY := math.Sqrt(dateBucket.Y.SumOfSquares / float64(dateBucket.Y.Count)) monitoryType := the.getMonitorTypeByFactorId(factorId) dataDefinitionStatisticData := &protoFiles_zjhl.DataDefinition_StatisticData{ StatisticData: &protoFiles_zjhl.StatisticData{ MonitorType: monitoryType, MonitorCode: monitorCode, //测点唯一编码 EventTime: Atime, Interval: 60 * 1000, }, } switch factorId { case 4: //结构温度 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Tmp{Tmp: &protoFiles_zjhl.TMPStatistic{ MaxTemperature: float32(dateBucket.X.Max), MinTemperature: float32(dateBucket.X.Min), AvgTemperature: float32(avgValueX), MaxDifference: float32(dateBucket.X.Max - dateBucket.X.Min), }} case 6: //索力 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Vic{Vic: &protoFiles_zjhl.VICStatistic{ MaxValue: float32(dateBucket.X.Max), MinValue: float32(dateBucket.X.Min), AvgValue: float32(avgValueX), RootMeanSquare: float32(rootMeanSquareX), }} case 11: //应变 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Rsg{Rsg: &protoFiles_zjhl.RSGStatistic{ MaxAbsoluteValue: float32(maxAbsoluteValueX), AvgValue: float32(avgValueX), }} case 15: //倾角 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Inc{Inc: &protoFiles_zjhl.INCStatistic{ MaxAbsoluteValueX: float32(maxAbsoluteValueX), AvgValueX: float32(avgValueX), RootMeanSquareX: float32(rootMeanSquareX), MaxAbsoluteValueY: float32(maxAbsoluteValueY), AvgValueY: float32(avgValueY), RootMeanSquareY: float32(rootMeanSquareY), }} case 18: //裂缝监测 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Crk{Crk: &protoFiles_zjhl.CRKStatistic{ MaxAbsoluteValue: float32(maxAbsoluteValueX), AvgValue: float32(avgValueX), RootMeanSquare: float32(rootMeanSquareX), TotalAbsoluteValue: float32(dateBucket.X.Max - dateBucket.X.Min), }} case 19: //挠度监测 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Hpt{Hpt: &protoFiles_zjhl.HPTStatistic{ MaxAbsoluteValue: float32(maxAbsoluteValueX), AvgValue: float32(avgValueX), RootMeanSquare: float32(rootMeanSquareX), }} case 20, 24: //支座位移20, 位移24 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Dis{Dis: &protoFiles_zjhl.DISStatistic{ MaxAbsoluteValue: float32(maxAbsoluteValueX), AvgValue: float32(avgValueX), RootMeanSquare: float32(rootMeanSquareX), TotalAbsoluteValue: float32(dateBucket.X.Max - dateBucket.X.Min), }} case 28: //振动 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Vib{Vib: &protoFiles_zjhl.VIBStatistic{ MaxAbsoluteValue: float32(maxAbsoluteValueX), RootMeanSquare: float32(rootMeanSquareY), }} case 592: //加速度三项监测 dataDefinitionStatisticData.StatisticData.DataBody = &protoFiles_zjhl.StatisticData_Vib{Vib: &protoFiles_zjhl.VIBStatistic{ MaxAbsoluteValue: float32(maxAbsoluteValueX), RootMeanSquare: float32(rootMeanSquareX), }} } return dataDefinitionStatisticData } func (the Adaptor_ZWYES_ZJHL) getUniqueCode(structId int64) (uniqueCode int64) { if v, ok := the.StructInfo[structId]; ok { uniqueCode = v } return uniqueCode } func (the Adaptor_ZWYES_ZJHL) getPointCodeFromLabel(label string) int64 { //解析label {ID:6500030042} pointUniqueCode := int64(0) if len(label) > 5 { newLabel := strings.TrimLeft(label, "{ID:") str := strings.TrimRight(newLabel, "}") codeInt64, err := strconv.ParseInt(str, 10, 64) if err != nil { log.Printf("测点标签转换异常[%s]", label) } pointUniqueCode = codeInt64 } return pointUniqueCode }