1.修复代码块级别 特征相似度大于100%的bug

src/main/java/com/keyware/composeanalysis/task/CodeBlockAnalysisTask.java

@@ -172,7 +172,6 @@ public class CodeBlockAnalysisTask extends IAnalysisTask {
             return;
         }
 
-
         //保存所有匹配的特征代码块MD5信息,方便统计总的匹配行数
         Set<String> matchingTraitLineSet = new HashSet<>();
 
@@ -190,8 +189,11 @@ public class CodeBlockAnalysisTask extends IAnalysisTask {
             matchCodeBlockLineCount += traitsFeatureMd5AndFeatureLineNumMap.get(matchFeatureMd5);
         }
 
+        //特征行总数
+        int totalFeatureLineCount = traitsFeatureMd5AndFeatureLineNumMap.values().stream().mapToInt(Integer::intValue).sum();
+
         //计算文件的总体特征相似度
-        BigDecimal featureSimilarity = new BigDecimal(matchCodeBlockLineCount).divide(new BigDecimal(analysisFile.getCodeRowNum()), 4, RoundingMode.HALF_UP).multiply(new BigDecimal(100)).setScale(2);
+        BigDecimal featureSimilarity = new BigDecimal(matchCodeBlockLineCount).divide(new BigDecimal(totalFeatureLineCount), 4, RoundingMode.HALF_UP).multiply(new BigDecimal(100)).setScale(2);
 
         //计算文件的总体开源率
         BigDecimal openRate = new BigDecimal(matchedLineRowsNum.size()).divide(new BigDecimal(analysisFile.getCodeRowNum()), 4, RoundingMode.HALF_UP).multiply(new BigDecimal(100)).setScale(2);
@@ -344,12 +346,13 @@ public class CodeBlockAnalysisTask extends IAnalysisTask {
     }
 
     /**
-     * 或者特征代码块的md5 和 当前md5包含的特征行数
+     *  获取每个特征代码块包含的特征行数
      *
      * @param codeBlockInfos
      * @return
      */
     private Map<String, Integer> getTraitsFeatureMd5AndFeatureLineNumMap(List<LineModel> codeBlockInfos) {
+        //按照特征代码块的md5进行分组
         Map<String, List<LineModel>> traitMd5GroupMap = codeBlockInfos.stream().collect(Collectors.groupingBy(LineModel::getTraitLineMd5));
         Map<String, Integer> resultMap = new HashMap<>();
         for (String traitMd5 : traitMd5GroupMap.keySet()) {

src/main/java/com/keyware/composeanalysis/task/FunctionAnalysisTask.java

@@ -291,7 +291,9 @@ public class FunctionAnalysisTask extends IAnalysisTask {
             SolrDocument openEntries = md5VersionInfoMap.get(openSourceFileMd5);
             VersionTree versionInfo = versionIdVersionInfoMap.get(openEntries.get("versionId"));
             String openFilePath = (String) md5VersionInfoMap.get(openSourceFileMd5).getFieldValue("fullPath");
-
+            if (versionInfo == null){
+                throw new BusinessException("根据版本ID,未查询到相关的版本信息。versionId:" + openEntries.get("versionId"));
+            }
             //组装当前开源文件的开源项目信息
             MatchOpenFile matchOpenFileInfo = new MatchOpenFile();
             matchOpenFileInfo.setId(IdGenerator.uuid32())

src/main/java/com/keyware/composeanalysis/task/PorjectAnalysisTask.java

@@ -76,7 +76,7 @@ public class PorjectAnalysisTask {
             if (!matchedPrject) {
                 List<FileDataMongoDto> unMatchedFiles = matchByAllFilesMd5();
 
-                //剩余没有匹配文件，用文件的md5去匹配solr库的versionTree
+                //剩余没有匹配文件，用文件的md5去批量匹配solr库的versionTree
                 if (CollectionUtils.isNotEmpty(unMatchedFiles)) {
                     matchByFileMd5s(unMatchedFiles);
                 }

src/main/java/com/keyware/composeanalysis/util/SolrUtils.java

@@ -7,7 +7,6 @@ import lombok.Data;
 import lombok.extern.log4j.Log4j2;
 import org.apache.commons.collections.CollectionUtils;
 import org.apache.commons.lang3.StringUtils;
-import org.apache.solr.client.solrj.SolrClient;
 import org.apache.solr.client.solrj.SolrRequest;
 import org.apache.solr.client.solrj.SolrServerException;
 import org.apache.solr.client.solrj.impl.HttpSolrClient;

src/main/resources/application-dev.yaml

@@ -8,7 +8,7 @@ spring:
     mongodb:
       uri: mongodb://127.0.0.1:27017/KEYSWAN
     redis:
-      host: 127.0.0.1
+      host: 172.16.36.7
       port: 6379
       password: 123456
   datasource:
@@ -30,7 +30,7 @@ spring:
 
 #solr检索库地址
 solr:
-  solrUrl: http://172.16.36.7:8993/solr/
+  solrUrl: http://172.16.36.5:8993/solr/
   #批量匹配时,返回的匹配数量
   row: 5