补充结果总览模型卡片统计查询

ccdi-project/src/main/java/com/ruoyi/ccdi/project/mapper/CcdiProjectOverviewMapper.java

@@ -2,6 +2,7 @@ package com.ruoyi.ccdi.project.mapper;
 
 import com.ruoyi.ccdi.project.domain.CcdiProject;
 import com.ruoyi.ccdi.project.domain.vo.CcdiProjectEmployeeRiskAggregateVO;
+import com.ruoyi.ccdi.project.domain.vo.CcdiProjectRiskModelCardVO;
 import java.util.List;
 import java.util.Map;
 import org.apache.ibatis.annotations.Mapper;
@@ -37,6 +38,14 @@ public interface CcdiProjectOverviewMapper {
      */
     List<CcdiProjectEmployeeRiskAggregateVO> selectTopRiskPeopleByProjectId(@Param("projectId") Long projectId);
 
+    /**
+     * 查询风险模型卡片
+     *
+     * @param projectId 项目ID
+     * @return 风险模型卡片列表
+     */
+    List<CcdiProjectRiskModelCardVO> selectRiskModelCardsByProjectId(@Param("projectId") Long projectId);
+
     /**
      * 查询项目风险人数汇总
      *

ccdi-project/src/main/resources/mapper/ccdi/project/CcdiProjectOverviewMapper.xml

@@ -27,7 +27,8 @@
             coalesce(direct_staff.dept_id, statement_staff.dept_id, family_staff.dept_id) as dept_id,
             tr.rule_code,
             tr.rule_name,
-            tr.model_code
+            tr.model_code,
+            tr.model_name
         from ccdi_bank_statement_tag_result tr
         left join ccdi_base_staff direct_staff
             on tr.object_type = 'STAFF_ID_CARD'
@@ -179,6 +180,19 @@
         limit 10
     </select>
 
+    <select id="selectRiskModelCardsByProjectId" resultType="com.ruoyi.ccdi.project.domain.vo.CcdiProjectRiskModelCardVO">
+        select
+            base.model_code,
+            max(base.model_name) as model_name,
+            count(1) as warning_count,
+            count(distinct base.staff_id_card) as people_count
+        from (
+            <include refid="resolvedEmployeeRiskBaseSql"/>
+        ) base
+        group by base.model_code
+        order by warning_count desc, model_code asc
+    </select>
+
     <select id="selectRiskCountSummaryByProjectId" resultType="map">
         select
             coalesce(sum(case when agg.rule_count >= 5 then 1 else 0 end), 0) as highRiskCount,