首页数据修正

@@ -36,4 +36,5 @@ public interface AiragLogMapper extends BaseMapper<AiragLog> {
     List<Map<String, Object>> getDailyRejectedCountForLast7Days();
     List<Map<String, Object>> getDailyRejectedCountForLast7Days();
 
 
     Date getEarliestTime();
     Date getEarliestTime();
+    Date getLatestTime();
 }
 }

@@ -157,4 +157,8 @@
         SELECT MIN(create_time) AS earliest_time
         SELECT MIN(create_time) AS earliest_time
             FROM airag_log
             FROM airag_log
     </select>
     </select>
+
+    <select id="getLatestTime" resultType="java.util.Date">
+        SELECT MAX(create_time) FROM airag_log
+    </select>
 </mapper>
 </mapper>

@@ -24,6 +24,7 @@ import org.springframework.stereotype.Service;
 
 
 import java.text.SimpleDateFormat;
 import java.text.SimpleDateFormat;
 import java.util.*;
 import java.util.*;
+import java.util.concurrent.TimeUnit;
 
 
 /**
 /**
  * @Description: 日志管理
  * @Description: 日志管理
@@ -120,17 +121,20 @@ public class AiragLogServiceImpl extends ServiceImpl<AiragLogMapper, AiragLog> i
         // 5. 获取累计问答次数
         // 5. 获取累计问答次数
         long totalCount = this.count();
         long totalCount = this.count();
 
 
-        // 6. 计算平均问答次数（基于有记录的天数）
-        QueryWrapper<AiragLog> distinctDaysWrapper = new QueryWrapper<>();
-        distinctDaysWrapper.select("DISTINCT DATE(create_time)");
-        long distinctDays = this.count(distinctDaysWrapper);
-
+        // 6. 计算平均问答次数
+        Date latestDate = airagLogMapper.getLatestTime(); // 需要确保Mapper中有此方法
         double averageCount = 0.0;
         double averageCount = 0.0;
-        if (distinctDays > 0) {
-            averageCount = (double) totalCount / distinctDays;
+        if (earlisetTime != null && latestDate != null) {
+            // 计算时间跨度（天数）
+            long diffInMillis = latestDate.getTime() - earlisetTime.getTime();
+            long daysBetween = TimeUnit.DAYS.convert(diffInMillis, TimeUnit.MILLISECONDS) + 1; // +1 包含首尾两天
+
+            if (daysBetween > 0) {
+                averageCount = (double) totalCount / daysBetween;
                 // 保留两位小数
                 // 保留两位小数
                 averageCount = Math.round(averageCount * 100.0) / 100.0;
                 averageCount = Math.round(averageCount * 100.0) / 100.0;
             }
             }
+        }
 
 
 
 
         // 8. 获取最近12个月的月度数据
         // 8. 获取最近12个月的月度数据