diff --git a/ruoyi-system/src/main/java/com/ruoyi/system/domain/SysTrainingScore.java b/ruoyi-system/src/main/java/com/ruoyi/system/domain/SysTrainingScore.java
index 1545c9c..5bfe60c 100644
--- a/ruoyi-system/src/main/java/com/ruoyi/system/domain/SysTrainingScore.java
+++ b/ruoyi-system/src/main/java/com/ruoyi/system/domain/SysTrainingScore.java
@@ -1,6 +1,11 @@
package com.ruoyi.system.domain;
+import com.ruoyi.common.constant.TrainingScoreConstants;
+
+import java.lang.reflect.Method;
+import java.text.DecimalFormat;
import java.util.Date;
+import java.util.Map;
public class SysTrainingScore {
/**
@@ -2444,4 +2449,257 @@ public class SysTrainingScore {
public void setReportContent(String reportContent) {
this.reportContent = reportContent == null ? null : reportContent.trim();
}
+
+ public void set(String methodName, Object value) {
+ try {
+ Method method = getClass().getMethod("set" + Character.toUpperCase(methodName.charAt(0)) + methodName.substring(1),value.getClass());
+ method.invoke(this, value);
+ } catch (Exception e) {
+ e.printStackTrace();
+ }
+ }
+
+ public Object get(String methodName) {
+ Object result = null;
+ try {
+ Method method = getClass().getMethod("get" + Character.toUpperCase(methodName.charAt(0)) + methodName.substring(1));
+ result = method.invoke(this);
+ } catch (Exception e) {
+ e.printStackTrace();
+ }
+ return result;
+ }
+
+ public void calculateDataScore() {
+ Date date = new Date();
+ dataCollectionScore=0;
+ textSegmentationScore=0;
+ partofspeechTaggingScore=0;
+ categoryManagementScore=0;
+ textClassificationScore=0;
+ textSummarizationScore=0;
+ similarityCalculationScore=0;
+ sentimentAnalysisScore=0;
+ dataVisualizationScore=0;
+ reportSubmissionScore=0;
+ DecimalFormat df = new DecimalFormat("0.00");
+ Map<String, Integer> trainingScoreConstantsMap = TrainingScoreConstants.getTrainingScoreConstantsMap();
+
+
+ int flag=0;
+ if (dataCollectionStepDescription != null && !"null".equals(dataCollectionStepDescription)) {
+ dataCollectionScore += trainingScoreConstantsMap.get("dataCollectionStepDescription");
+ flag++;
+ }
+ if (dataCollectionToolbarButton != null && !"null".equals(dataCollectionToolbarButton)) {
+ dataCollectionScore += trainingScoreConstantsMap.get("dataCollectionToolbarButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 2 * 100;
+ String formattedResult = df.format(result);
+ dataCollectionProgress=formattedResult;
+ dataCollectionTime=date;
+ }
+
+ flag=0;
+ if (textSegmentationStepDescription != null && !"null".equals(textSegmentationStepDescription)) {
+ textSegmentationScore += trainingScoreConstantsMap.get("textSegmentationStepDescription");
+ flag++;
+ }
+ if (textSegmentationToolbarButton != null && !"null".equals(textSegmentationToolbarButton)) {
+ textSegmentationScore += trainingScoreConstantsMap.get("textSegmentationToolbarButton");
+ flag++;
+ }
+ if (textSegmentationAnalysisTrainButton != null && !"null".equals(textSegmentationAnalysisTrainButton)) {
+ textSegmentationScore += trainingScoreConstantsMap.get("textSegmentationAnalysisTrainButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 3 * 100;
+ String formattedResult = df.format(result);
+ textSegmentationProgress=formattedResult;
+ textSegmentationTime=date;
+ }
+
+ flag=0;
+ if ( partofspeechTaggingStepDescription!= null && !"null".equals(partofspeechTaggingStepDescription)) {
+ partofspeechTaggingScore += trainingScoreConstantsMap.get("partofspeechTaggingStepDescription");
+ flag++;
+ }
+ if (partofspeechTaggingToolbarButton!=null && !"null".equals(partofspeechTaggingToolbarButton)) {
+ partofspeechTaggingScore += trainingScoreConstantsMap.get("partofspeechTaggingToolbarButton");
+ flag++;
+ }
+ if (partofspeechTaggingAnalysisTrainButton!= null && !"null".equals(partofspeechTaggingAnalysisTrainButton)) {
+ partofspeechTaggingScore += trainingScoreConstantsMap.get("partofspeechTaggingAnalysisTrainButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 3 * 100;
+ String formattedResult = df.format(result);
+ partofspeechTaggingProgress=formattedResult;
+ partofspeechTaggingTime=date;
+ }
+
+
+ flag=0;
+ if (categoryManagementStepDescription!= null && !"null".equals(categoryManagementStepDescription)) {
+ categoryManagementScore += trainingScoreConstantsMap.get("categoryManagementStepDescription");
+ flag++;
+ }
+ if (categoryManagementAddButton != null && !"null".equals(categoryManagementAddButton)) {
+ categoryManagementScore += trainingScoreConstantsMap.get("categoryManagementAddButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 2 * 100;
+ String formattedResult = df.format(result);
+ categoryManagementProgress=formattedResult;
+ categoryManagementTime=date;
+ }
+
+ flag=0;
+ if (textClassificationStepDescription!= null && !"null".equals(textClassificationStepDescription)) {
+ textClassificationScore += trainingScoreConstantsMap.get("textClassificationStepDescription");
+ flag++;
+ }
+ if (textClassificationArticleClassificationButton!= null && !"null".equals(textClassificationArticleClassificationButton)) {
+ textClassificationScore += trainingScoreConstantsMap.get("textClassificationArticleClassificationButton");
+ flag++;
+ }
+ if (textClassificationCreateArticleButton!= null && !"null".equals(textClassificationCreateArticleButton)) {
+ textClassificationScore += trainingScoreConstantsMap.get("textClassificationCreateArticleButton");
+ flag++;
+ }
+ if (textClassificationToolbarDetailsButton!= null && !"null".equals(textClassificationToolbarDetailsButton)) {
+ textClassificationScore += trainingScoreConstantsMap.get("textClassificationToolbarDetailsButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 4 * 100;
+ String formattedResult = df.format(result);
+ textClassificationProgress=formattedResult;
+ textClassificationTime=date;
+ }
+
+ flag=0;
+ if (textSummarizationStepDescription!= null && !"null".equals(textSummarizationStepDescription)) {
+ textSummarizationScore += trainingScoreConstantsMap.get("textSummarizationStepDescription");
+ flag++;
+ }
+ if (textSummarizationArticleSummaryButton!= null && !"null".equals(textSummarizationArticleSummaryButton)) {
+ textSummarizationScore += trainingScoreConstantsMap.get("textSummarizationArticleSummaryButton");
+ flag++;
+ }
+ if (textSummarizationCreateArticleButton!= null && !"null".equals(textSummarizationCreateArticleButton)) {
+ textSummarizationScore += trainingScoreConstantsMap.get("textSummarizationCreateArticleButton");
+ flag++;
+ }
+ if (textSummarizationToolbarDetailsButton!= null && !"null".equals(textSummarizationToolbarDetailsButton)) {
+ textSummarizationScore += trainingScoreConstantsMap.get("textSummarizationToolbarDetailsButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 4 * 100;
+ String formattedResult = df.format(result);
+ textSummarizationProgress=formattedResult;
+ textSummarizationTime=date;
+ }
+
+ flag=0;
+ if (similarityCalculationStepDescription!= null && !"null".equals(similarityCalculationStepDescription)) {
+ similarityCalculationScore += trainingScoreConstantsMap.get("similarityCalculationStepDescription");
+ flag++;
+ }
+ if (similarityCalculationAddButtonTop!= null && !"null".equals(similarityCalculationAddButtonTop)) {
+ similarityCalculationScore += trainingScoreConstantsMap.get("similarityCalculationAddButtonTop");
+ flag++;
+ }
+ if (similarityCalculationAddButtonBottom!= null && !"null".equals(similarityCalculationAddButtonBottom)) {
+ similarityCalculationScore += trainingScoreConstantsMap.get("similarityCalculationAddButtonBottom");
+ flag++;
+ }
+ if (similarityCalculationCalculateSimilarityButton!= null && !"null".equals(similarityCalculationCalculateSimilarityButton)) {
+ similarityCalculationScore += trainingScoreConstantsMap.get("similarityCalculationCalculateSimilarityButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 4 * 100;
+ String formattedResult = df.format(result);
+ similarityCalculationProgress=formattedResult;
+ similarityCalculationTime=date;
+ }
+
+ flag=0;
+ if (sentimentAnalysisStepDescription!= null && !"null".equals(sentimentAnalysisStepDescription)) {
+ sentimentAnalysisScore += trainingScoreConstantsMap.get("sentimentAnalysisStepDescription");
+ flag++;
+ }
+ if (sentimentAnalysisSelectButton!= null && !"null".equals(sentimentAnalysisSelectButton)) {
+ sentimentAnalysisScore += trainingScoreConstantsMap.get("sentimentAnalysisSelectButton");
+ flag++;
+ }
+ if (sentimentAnalysisSentimentAnalysisButton!= null && !"null".equals(sentimentAnalysisSentimentAnalysisButton)) {
+ sentimentAnalysisScore += trainingScoreConstantsMap.get("sentimentAnalysisSentimentAnalysisButton");
+ flag++;
+ }
+ if (sentimentAnalysisCreateSentimentWordButton!= null && !"null".equals(sentimentAnalysisCreateSentimentWordButton)) {
+ sentimentAnalysisScore += trainingScoreConstantsMap.get("sentimentAnalysisCreateSentimentWordButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 4 * 100;
+ String formattedResult = df.format(result);
+ sentimentAnalysisProgress=formattedResult;
+ sentimentAnalysisTime=date;
+ }
+
+ flag=0;
+ if (dataVisualizationStepDescription!= null && !"null".equals(dataVisualizationStepDescription)) {
+ dataVisualizationScore += trainingScoreConstantsMap.get("dataVisualizationStepDescription");
+ flag++;
+ }
+ if (dataVisualizationWordCloudButton!= null && !"null".equals(dataVisualizationWordCloudButton)) {
+ dataVisualizationScore += trainingScoreConstantsMap.get("dataVisualizationWordCloudButton");
+ flag++;
+ }
+ if (dataVisualizationSocialNetworkAnalysisButton!= null && !"null".equals(dataVisualizationSocialNetworkAnalysisButton)) {
+ dataVisualizationScore += trainingScoreConstantsMap.get("dataVisualizationSocialNetworkAnalysisButton");
+ flag++;
+ }
+ if (dataVisualizationSentimentAnalysisButton!= null && !"null".equals(dataVisualizationSentimentAnalysisButton)) {
+ dataVisualizationScore += trainingScoreConstantsMap.get("dataVisualizationSentimentAnalysisButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 4 * 100;
+ String formattedResult = df.format(result);
+ dataVisualizationProgress=formattedResult;
+ dataVisualizationTime=date;
+ }
+
+ flag=0;
+ if (reportSubmissionExperiencePageSaveButton!= null && !"null".equals(reportSubmissionExperiencePageSaveButton)) {
+ reportSubmissionScore += trainingScoreConstantsMap.get("reportSubmissionExperiencePageSaveButton");
+ flag++;
+ }
+ if (reportSubmissionUploadReportButton!= null && !"null".equals(reportSubmissionUploadReportButton)) {
+ reportSubmissionScore += trainingScoreConstantsMap.get("reportSubmissionUploadReportButton");
+ flag++;
+ }
+ if (reportSubmissionSubmitButton!= null && !"null".equals(reportSubmissionSubmitButton)) {
+ reportSubmissionScore += trainingScoreConstantsMap.get("reportSubmissionSubmitButton");
+ flag++;
+ }
+ if(flag!=0){
+ double result = (double) flag / 3 * 100;
+ String formattedResult = df.format(result);
+ reportSubmissionProgress=formattedResult;
+ reportSubmissionTime=date;
+ }
+
+ trainingOperationScore=dataCollectionScore+textSegmentationScore+partofspeechTaggingScore+categoryManagementScore+textClassificationScore
+ +textSummarizationScore+similarityCalculationScore+sentimentAnalysisScore+dataVisualizationScore+reportSubmissionScore;
+ }
}
\ No newline at end of file
diff --git a/ruoyi-system/src/main/java/com/ruoyi/system/mapper/SysTrainingScoreMapper.java b/ruoyi-system/src/main/java/com/ruoyi/system/mapper/SysTrainingScoreMapper.java
index bc86f2c..7488cca 100644
--- a/ruoyi-system/src/main/java/com/ruoyi/system/mapper/SysTrainingScoreMapper.java
+++ b/ruoyi-system/src/main/java/com/ruoyi/system/mapper/SysTrainingScoreMapper.java
@@ -3,8 +3,10 @@ package com.ruoyi.system.mapper;
import com.ruoyi.system.domain.SysTrainingScore;
import com.ruoyi.system.domain.SysTrainingScoreExample;
import java.util.List;
-import org.apache.ibatis.annotations.Param;
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+@Mapper
public interface SysTrainingScoreMapper {
/**
* This method was generated by MyBatis Generator.