字节影响力渠道分和流量分给予最小值1

src/main/java/com/zhiwei/brandkbs2/service/impl/ToolsetServiceImpl.java

@@ -561,7 +561,7 @@ public class ToolsetServiceImpl implements ToolsetService {
                 List<BytedanceCustomEventUpdateTaskData> data = entry.getValue();
                 BytedanceCustomEventUpdateTask.EventInfo eventInfo = new BytedanceCustomEventUpdateTask.EventInfo();
                 eventInfo.setName(eventName);
-                eventInfo.setDataCount(data.size());
+                eventInfo.setDataCount(Math.max(data.size(), 1));
                 // 计算影响力指数
                 eventInfo.setInfluence(computeInf(data, levelInfoMap));
                 eventInfoMap.put(eventName, eventInfo);
@@ -717,7 +717,7 @@ public class ToolsetServiceImpl implements ToolsetService {
     private Double computeInf(List<BytedanceCustomEventUpdateTaskData> datas, Map<String, BytedanceCustomChannelLevelInfo> levelInfoMap){
         Map<String, Double> levelSumH = new HashMap<>(5);
         if (CollectionUtils.isEmpty(datas)){
-            return 0d;
+            return 1d;
         }
         for (BytedanceCustomEventUpdateTaskData data : datas) {
             // 匹配渠道影响力,微博、微信以外的平台一律按照”网媒“处理
@@ -757,7 +757,8 @@ public class ToolsetServiceImpl implements ToolsetService {
             // 3.各自乘以权重 结果相加
             result = INF.multiply(BigDecimal.valueOf(levelInfo.getWeight())).add(BigDecimal.valueOf(result)).doubleValue();
         }
-        return BigDecimal.valueOf(result).setScale(1, RoundingMode.HALF_UP).doubleValue();
+        double resVal = BigDecimal.valueOf(result).setScale(1, RoundingMode.HALF_UP).doubleValue();
+        return resVal > 1 ? resVal : 1d;
     }
 
     private double getMatchedDefaultChannelInf(String level){
@@ -781,6 +782,9 @@ public class ToolsetServiceImpl implements ToolsetService {
      * @return
      */
     private Double computeRMI(List<BytedanceCustomEventUpdateTaskData> data){
+        if (CollectionUtils.isEmpty(data)){
+            return 1d;
+        }
         // 1、初始值
         // 微信文章数
         int wechatArticle = (int) data.stream().filter(article -> Objects.equals("微信", article.getPlatformType())).count();
@@ -875,7 +879,7 @@ public class ToolsetServiceImpl implements ToolsetService {
         // 头条互动数：TI标= ln（TI+1）/ln（TI常+1）*100.0
         BigDecimal TI = BigDecimal.valueOf(Math.log(toutiaoInteraction + 1)).divide(BigDecimal.valueOf(Math.log(toutiaoInteractionWeight.getConstant() + 1)), 20, RoundingMode.HALF_UP).multiply(bigDecimal100);
         // 标准值与权重计算取和得RMI
-        return NM.multiply(BigDecimal.valueOf(normalMediaArticleWeight.getWeight()))
+        double resVal = NM.multiply(BigDecimal.valueOf(normalMediaArticleWeight.getWeight()))
                 .add(OM.multiply(BigDecimal.valueOf(otherPlatformArticleWeight.getWeight())))
                 .add(WC.multiply(BigDecimal.valueOf(wechatArticleWeight.getWeight())))
                 .add(WCR.multiply(BigDecimal.valueOf(wechatReadWeight.getWeight())))
@@ -887,6 +891,7 @@ public class ToolsetServiceImpl implements ToolsetService {
                 .add(TI.multiply(BigDecimal.valueOf(toutiaoInteractionWeight.getWeight())))
                 .setScale(1, RoundingMode.HALF_UP)
                 .doubleValue();
+        return resVal > 1 ? resVal : 1d;
     }
 
     /**