点保存没提示，窗口不关闭

server/src/main/java/edp/davinci/controller/QualityTaskController.java

@@ -283,33 +283,50 @@ public class QualityTaskController extends BaseController {
             double averagingIntegrityError = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getIntegrityError));
             qualityTaskDto.setIntegrityCorrect(averagingIntegrityCorrect);
             qualityTaskDto.setIntegrityError(averagingIntegrityError);
-            qualityTaskDto.setIntegrityCorrectProbability(df.format((float) averagingIntegrityCorrect / (averagingIntegrityCorrect + averagingIntegrityError)));
-            qualityTaskDto.setIntegrityErrorProbability(df.format((float) averagingIntegrityError / (averagingIntegrityCorrect + averagingIntegrityError)));
-
+            if((averagingIntegrityCorrect + averagingIntegrityError) == 0){
+                qualityTaskDto.setIntegrityCorrectProbability("0%");
+                qualityTaskDto.setIntegrityErrorProbability("0%");
+            }else {
+                qualityTaskDto.setIntegrityCorrectProbability(df.format((float) averagingIntegrityCorrect / (averagingIntegrityCorrect + averagingIntegrityError)));
+                qualityTaskDto.setIntegrityErrorProbability(df.format((float) averagingIntegrityError / (averagingIntegrityCorrect + averagingIntegrityError)));
+            }
             // 一致性
+
             double averagingUniformityCorrect = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getUniformityCorrect));
             double averagingUniformityError = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getUniformityError));
             qualityTaskDto.setUniformityCorrect(averagingUniformityCorrect);
             qualityTaskDto.setUniformityError(averagingUniformityError);
-            qualityTaskDto.setUniformityCorrectProbability(df.format((float) averagingUniformityCorrect / (averagingUniformityCorrect + averagingUniformityError)));
-            qualityTaskDto.setUniformityErrorProbability(df.format((float) averagingUniformityError / (averagingUniformityCorrect + averagingUniformityError)));
-
+            if((averagingUniformityCorrect + averagingUniformityError) == 0){
+                qualityTaskDto.setUniformityCorrectProbability("0%");
+                qualityTaskDto.setUniformityErrorProbability("0%");
+            }else {
+                qualityTaskDto.setUniformityCorrectProbability(df.format((float) averagingUniformityCorrect / (averagingUniformityCorrect + averagingUniformityError)));
+                qualityTaskDto.setUniformityErrorProbability(df.format((float) averagingUniformityError / (averagingUniformityCorrect + averagingUniformityError)));
+            }
             // 规范性
             double averagingNormativeCorrect = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getNormativeCorrect));
             double averagingNormativeError = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getNormativeError));
             qualityTaskDto.setNormativeCorrect(averagingNormativeCorrect);
             qualityTaskDto.setNormativeError(averagingNormativeError);
-            qualityTaskDto.setNormativeCorrectProbability(df.format((float) averagingNormativeCorrect / (averagingNormativeCorrect + averagingNormativeError)));
-            qualityTaskDto.setNormativeErrorProbability(df.format((float) averagingNormativeError / (averagingNormativeCorrect + averagingNormativeError)));
-
+            if((averagingNormativeCorrect + averagingNormativeError) == 0){
+                qualityTaskDto.setNormativeCorrectProbability("0%");
+                qualityTaskDto.setNormativeErrorProbability("0%");
+            }else {
+                qualityTaskDto.setNormativeCorrectProbability(df.format((float) averagingNormativeCorrect / (averagingNormativeCorrect + averagingNormativeError)));
+                qualityTaskDto.setNormativeErrorProbability(df.format((float) averagingNormativeError / (averagingNormativeCorrect + averagingNormativeError)));
+            }
             // 准确定
             double averagingAccuracyCorrect = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getAccuracyCorrect));
             double averagingAccuracyError = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getAccuracyError));
             qualityTaskDto.setAccuracyCorrect(averagingAccuracyCorrect);
             qualityTaskDto.setAccuracyError(averagingAccuracyError);
-            qualityTaskDto.setAccuracyCorrectProbability(df.format((float) averagingAccuracyCorrect / (averagingAccuracyCorrect + averagingAccuracyError)));
-            qualityTaskDto.setAccuracyErrorProbability(df.format((float) averagingAccuracyError / (averagingAccuracyCorrect + averagingAccuracyError)));
-
+            if((averagingAccuracyCorrect + averagingAccuracyError) == 0){
+                qualityTaskDto.setAccuracyCorrectProbability("0%");
+                qualityTaskDto.setAccuracyErrorProbability("0%");
+            }else {
+                qualityTaskDto.setAccuracyCorrectProbability(df.format((float) averagingAccuracyCorrect / (averagingAccuracyCorrect + averagingAccuracyError)));
+                qualityTaskDto.setAccuracyErrorProbability(df.format((float) averagingAccuracyError / (averagingAccuracyCorrect + averagingAccuracyError)));
+            }
         }
 
         return ResponseEntity.ok(new ResultMap(tokenUtils).successAndRefreshToken(request).payloads(qualityTasks));