定时任务质量稽核

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

@@ -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())* 100 + "%");//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())* 100 + "%");//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())* 100 + "%");//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())* 100 + "%");//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())* 100 + "%");//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())* 100 + "%");//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())* 100 + "%");//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())* 100 + "%");//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);
                 }
             }