定时任务质量稽核

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

@@ -320,8 +320,8 @@ public class QualityTaskController extends BaseController {
                 qualityTaskDto.setIntegrityCorrectProbability("0%");
                 qualityTaskDto.setIntegrityErrorProbability("0%");
             } else {
-                qualityTaskDto.setIntegrityCorrectProbability(df.format((float) averagingIntegrityCorrect / (averagingIntegrityCorrect + averagingIntegrityError)));
-                qualityTaskDto.setIntegrityErrorProbability(df.format((float) averagingIntegrityError / (averagingIntegrityCorrect + averagingIntegrityError)));
+                qualityTaskDto.setIntegrityCorrectProbability(df.format((float) averagingIntegrityCorrect / (averagingIntegrityCorrect + averagingIntegrityError) * 100 )+ "%");
+                qualityTaskDto.setIntegrityErrorProbability(df.format((float) averagingIntegrityError / (averagingIntegrityCorrect + averagingIntegrityError)* 100 )+ "%");
             }
             // 一致性
 
@@ -333,8 +333,8 @@ public class QualityTaskController extends BaseController {
                 qualityTaskDto.setUniformityCorrectProbability("0%");
                 qualityTaskDto.setUniformityErrorProbability("0%");
             } else {
-                qualityTaskDto.setUniformityCorrectProbability(df.format((float) averagingUniformityCorrect / (averagingUniformityCorrect + averagingUniformityError)));
-                qualityTaskDto.setUniformityErrorProbability(df.format((float) averagingUniformityError / (averagingUniformityCorrect + averagingUniformityError)));
+                qualityTaskDto.setUniformityCorrectProbability(df.format((float) averagingUniformityCorrect / (averagingUniformityCorrect + averagingUniformityError)* 100 )+ "%");
+                qualityTaskDto.setUniformityErrorProbability(df.format((float) averagingUniformityError / (averagingUniformityCorrect + averagingUniformityError)* 100 )+ "%");
             }
             // 规范性
             double averagingNormativeCorrect = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getNormativeCorrect));
@@ -345,8 +345,8 @@ public class QualityTaskController extends BaseController {
                 qualityTaskDto.setNormativeCorrectProbability("0%");
                 qualityTaskDto.setNormativeErrorProbability("0%");
             } else {
-                qualityTaskDto.setNormativeCorrectProbability(df.format((float) averagingNormativeCorrect / (averagingNormativeCorrect + averagingNormativeError)));
-                qualityTaskDto.setNormativeErrorProbability(df.format((float) averagingNormativeError / (averagingNormativeCorrect + averagingNormativeError)));
+                qualityTaskDto.setNormativeCorrectProbability(df.format((float) averagingNormativeCorrect / (averagingNormativeCorrect + averagingNormativeError)* 100 )+ "%");
+                qualityTaskDto.setNormativeErrorProbability(df.format((float) averagingNormativeError / (averagingNormativeCorrect + averagingNormativeError)* 100 )+ "%");
             }
             // 准确定
             double averagingAccuracyCorrect = qualityAuditorList.stream().collect(Collectors.averagingInt(QualityAuditor::getAccuracyCorrect));
@@ -357,8 +357,8 @@ public class QualityTaskController extends BaseController {
                 qualityTaskDto.setAccuracyCorrectProbability("0%");
                 qualityTaskDto.setAccuracyErrorProbability("0%");
             } else {
-                qualityTaskDto.setAccuracyCorrectProbability(df.format((float) averagingAccuracyCorrect / (averagingAccuracyCorrect + averagingAccuracyError)));
-                qualityTaskDto.setAccuracyErrorProbability(df.format((float) averagingAccuracyError / (averagingAccuracyCorrect + averagingAccuracyError)));
+                qualityTaskDto.setAccuracyCorrectProbability(df.format((float) averagingAccuracyCorrect / (averagingAccuracyCorrect + averagingAccuracyError)* 100 )+ "%");
+                qualityTaskDto.setAccuracyErrorProbability(df.format((float) averagingAccuracyError / (averagingAccuracyCorrect + averagingAccuracyError)* 100 )+ "%");
             }
 
             resultTask.add(qualityTaskDto);
@@ -397,9 +397,9 @@ public class QualityTaskController extends BaseController {
                     qualityAuditorDto.setIntegrityErrorProbability("0%");
                 } else {
                     // 完整性
-                    String integrityCorrectProbability = df.format((float) qualityAuditor.getIntegrityCorrect() / (qualityAuditor.getIntegrityCorrect() + qualityAuditor.getIntegrityError()));//返回的是String类型
+                    String integrityCorrectProbability = df.format((float) qualityAuditor.getIntegrityCorrect() / (qualityAuditor.getIntegrityCorrect() + qualityAuditor.getIntegrityError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setIntegrityCorrectProbability(integrityCorrectProbability);
-                    String integrityErrorProbability = df.format((float) qualityAuditor.getIntegrityError() / (qualityAuditor.getIntegrityCorrect() + qualityAuditor.getIntegrityError()));//返回的是String类型
+                    String integrityErrorProbability = df.format((float) qualityAuditor.getIntegrityError() / (qualityAuditor.getIntegrityCorrect() + qualityAuditor.getIntegrityError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setIntegrityErrorProbability(integrityErrorProbability);
                 }
             }
@@ -410,9 +410,9 @@ public class QualityTaskController extends BaseController {
                     qualityAuditorDto.setUniformityErrorProbability("0%");
                 } else {
                     // 一致性
-                    String uniformityCorrectProbability = df.format((float) qualityAuditor.getUniformityCorrect() / (qualityAuditor.getUniformityCorrect() + qualityAuditor.getUniformityError()));//返回的是String类型
+                    String uniformityCorrectProbability = df.format((float) qualityAuditor.getUniformityCorrect() / (qualityAuditor.getUniformityCorrect() + qualityAuditor.getUniformityError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setUniformityCorrectProbability(uniformityCorrectProbability);
-                    String uniformityErrorProbability = df.format((float) qualityAuditor.getUniformityError() / (qualityAuditor.getUniformityCorrect() + qualityAuditor.getUniformityError()));//返回的是String类型
+                    String uniformityErrorProbability = df.format((float) qualityAuditor.getUniformityError() / (qualityAuditor.getUniformityCorrect() + qualityAuditor.getUniformityError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setUniformityErrorProbability(uniformityErrorProbability);
                 }
             }
@@ -423,9 +423,9 @@ public class QualityTaskController extends BaseController {
                     qualityAuditorDto.setNormativeErrorProbability("0%");
                 } else {
                     // 规范性
-                    String normativeCorrectProbability = df.format((float) qualityAuditor.getNormativeCorrect() / (qualityAuditor.getNormativeCorrect() + qualityAuditor.getNormativeError()));//返回的是String类型
+                    String normativeCorrectProbability = df.format((float) qualityAuditor.getNormativeCorrect() / (qualityAuditor.getNormativeCorrect() + qualityAuditor.getNormativeError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setNormativeCorrectProbability(normativeCorrectProbability);
-                    String normativeErrorProbability = df.format((float) qualityAuditor.getNormativeError() / (qualityAuditor.getNormativeCorrect() + qualityAuditor.getNormativeError()));//返回的是String类型
+                    String normativeErrorProbability = df.format((float) qualityAuditor.getNormativeError() / (qualityAuditor.getNormativeCorrect() + qualityAuditor.getNormativeError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setNormativeErrorProbability(normativeErrorProbability);
                 }
             }
@@ -435,9 +435,9 @@ public class QualityTaskController extends BaseController {
                     qualityAuditorDto.setAccuracyErrorProbability("0%");
                 } else {
                     // 准确性
-                    String accuracyCorrectProbability = df.format((float) qualityAuditor.getAccuracyCorrect() / (qualityAuditor.getAccuracyCorrect() + qualityAuditor.getAccuracyError()));//返回的是String类型
+                    String accuracyCorrectProbability = df.format((float) qualityAuditor.getAccuracyCorrect() / (qualityAuditor.getAccuracyCorrect() + qualityAuditor.getAccuracyError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setAccuracyCorrectProbability(accuracyCorrectProbability);
-                    String accuracyErrorProbability = df.format((float) qualityAuditor.getAccuracyError() / (qualityAuditor.getAccuracyCorrect() + qualityAuditor.getAccuracyError()));//返回的是String类型
+                    String accuracyErrorProbability = df.format((float) qualityAuditor.getAccuracyError() / (qualityAuditor.getAccuracyCorrect() + qualityAuditor.getAccuracyError()* 100 )+ "%");//返回的是String类型
                     qualityAuditorDto.setAccuracyErrorProbability(accuracyErrorProbability);
                 }
             }