feat: 修改了推荐题目比例

src/main/java/com/seecoder/dataanalysis/analysis/impl/RecommendServiceImpl.java

@@ -106,7 +106,7 @@ public class RecommendServiceImpl implements RecommendService {
 //            System.out.println(entry.getKey()+": "+entry.getValue());
 //        }
 
-        //还需要添加的题目数目，姑且设计为5错题+15低分+10大类中未做过的，剩下不足的由未做过的题目补充
+        //还需要添加的题目数目，姑且设计为5错题+5错题同类型题+15低分能力下的题目+5大类中未做过的，剩下不足的由未做过的题目补充
         int left = QUESTION_NUM;
         //最终生成试卷的所有题号的集合
         List<String> total = new ArrayList<>();
@@ -119,7 +119,40 @@ public class RecommendServiceImpl implements RecommendService {
             errors.remove(errors.get(r));
         }
 
-        //随机选择10道和低分类似类似的题目
+        //随机选择5道和错题知识点相同的题目
+        List<String> errKnows = new ArrayList<>();
+        for(int i=0;i<total.size();i++){
+            List<String> knows = questionService.getKnowledgesById(total.get(i));
+            //排除基础的SR类
+            for(String know : knows){
+                if(know.split("\\.").length == 1){
+                    knows.remove(know);
+                    break;
+                }
+            }
+            //逐个搜索
+            for(String know : knows){
+                List<String> search = new ArrayList<>();
+                search.add(know);
+                List<QuestionVO> questions = questionService.searchQuestions(search);
+                for(QuestionVO questionVO : questions){
+                    String questionId = questionVO.getId();
+                    if(total.contains(questionId)==false && errKnows.contains(questionId)==false){
+                        errKnows.add(questionId);
+                    }
+                }
+            }
+        }
+
+        //得到相似错题后，选择5道
+        for(int i=0;errKnows.size()>0&&i<5;i++){
+            int r = random.nextInt(errKnows.size());
+            total.add(errKnows.get(r));
+            left--;
+            errKnows.remove(errKnows.get(r));
+        }
+
+        //随机选择15道和低分类似类似的题目
         List<String> similar = new ArrayList<>();
         int index = 0;
         for(Map.Entry<String,Double> entry : afterSort.entrySet()){
@@ -142,7 +175,7 @@ public class RecommendServiceImpl implements RecommendService {
             }
             index++;
         }
-        //随机选择15道相似题目
+        //得到所有相似题目的题号后，选择15道
         for(int i=0;similar.size()>0&&i<15;i++){
             int r = random.nextInt(similar.size());
             total.add(similar.get(r));