fix：移动平均同比预测bug修复

models/predict_edb_info_rule.go

@@ -884,6 +884,8 @@ func GetChartPredictEdbInfoDataListByRuleMoveAverageTb(edbInfoId int, nValue, ye
 	}
 	// 分母
 	decimalN := decimal.NewFromInt(int64(nValue))
+	// 需要减去的年份
+	subYear := year - dayList[0].Year()
 
 	//获取后面的预测数据
 	for k, currentDate := range dayList {
@@ -895,7 +897,7 @@ func GetChartPredictEdbInfoDataListByRuleMoveAverageTb(edbInfoId int, nValue, ye
 		// 数据集合中的最后一个数据
 		tmpDecimalVal := decimal.NewFromFloat(allDataList[tmpIndex].Value)
 		averageDateList = append(averageDateList, allDataList[tmpIndex].DataTime)
-		for tmpK := 2; tmpK <= nValue; tmpK++ {
+		for tmpK := 1; tmpK < nValue; tmpK++ {
 			tmpIndex2 := tmpIndex - tmpK //上N期的值
 			tmpDecimalVal2 := decimal.NewFromFloat(allDataList[tmpIndex2].Value)
 			tmpDecimalVal = tmpDecimalVal.Add(tmpDecimalVal2)
@@ -913,7 +915,7 @@ func GetChartPredictEdbInfoDataListByRuleMoveAverageTb(edbInfoId int, nValue, ye
 			tmpHistoryValNum := 0
 			{
 				//前几年当日的日期
-				tmpHistoryCurrentDate := currentDate.AddDate(year-currentDate.Year(), 0, 0)
+				tmpHistoryCurrentDate := currentDate.AddDate(subYear, 0, 0)
 				for i := 0; i <= 35; i++ { // 前后35天找数据，找到最近的值，先向后面找，再往前面找
 					tmpDate := tmpHistoryCurrentDate.AddDate(0, 0, i)
 					if val, ok := existMap[tmpDate.Format(utils.FormatDate)]; ok {
@@ -938,7 +940,7 @@ func GetChartPredictEdbInfoDataListByRuleMoveAverageTb(edbInfoId int, nValue, ye
 					return
 				}
 				//前几年上一期的日期
-				tmpHistoryLastDate := lastDay.AddDate(year-lastDay.Year(), 0, 0)
+				tmpHistoryLastDate := lastDay.AddDate(subYear, 0, 0)
 				for i := 0; i <= 35; i++ { // 前后35天找数据，找到最近的值，先向后面找，再往前面找
 					tmpDate := tmpHistoryLastDate.AddDate(0, 0, i)
 					if val, ok := existMap[tmpDate.Format(utils.FormatDate)]; ok {
@@ -969,8 +971,10 @@ func GetChartPredictEdbInfoDataListByRuleMoveAverageTb(edbInfoId int, nValue, ye
 			continue
 		}
 
+		// 计算最近N期平均值
+		tmpHistoryAverageVal := tmpHistoryDecimalVal.Div(decimalN)
 		// 计算最近N期同比值
-		tbVal := tmpAverageVal.Div(tmpHistoryDecimalVal)
+		tbVal := tmpAverageVal.Div(tmpHistoryAverageVal)
 
 		// 预测值结果 = 同比年份同期值（tmpHistoryCurrentVal的值）* 同比值（tbVal的值）
 		val, _ := decimal.NewFromFloat(tmpHistoryCurrentVal).Mul(tbVal).RoundCeil(4).Float64()