feat: 所有表单的部门/负责人改为下拉框(自动读取组织+用户数据)

- KPI详情: 负责部门+负责人 el-input→el-select filterable
- KPI字典: 新建/编辑/模板实例化 三处同步修改
- 改善行动: 负责人筛选+表单 从userApi.list加载
- 预警中心: 指派人+负责人 从userApi.list加载
- api/index.ts新增orgApi封装

backend/app/api/analysis_results.py

@@ -69,22 +69,23 @@ async def get_analysis_results(
 
 
 @router.post("/result")
-async def create_analysis_result(
-    period: str = Query(..., description="期间 YYYY-MM"),
-    conclusion: str = Query(..., description="分析结论"),
-    data_source: Optional[str] = Query(None, description="数据来源"),
-    calculation_logic: Optional[str] = Query(None, description="计算逻辑"),
-    comparable_benchmark: Optional[str] = Query(None, description="可比基准"),
-    limitations: Optional[str] = Query(None, description="局限说明"),
-    kpi_code: Optional[str] = Query(None, description="关联KPI编码"),
-    kpi_name: Optional[str] = Query(None, description="关联KPI名称"),
-    has_actual: bool = Query(False, description="有实际值"),
-    has_target: bool = Query(False, description="有目标值"),
-    has_trend: bool = Query(False, description="有历史趋势"),
-    has_review: bool = Query(False, description="有人工复核"),
-    db: Session = Depends(get_db),
-):
+def create_analysis_result(data: dict = None, db: Session = Depends(get_db)):
     """提交分析结果（自动计算置信度）"""
+    if not data:
+        data = {}
+    period = data.get("period", "")
+    conclusion = data.get("conclusion", "")
+    data_source = data.get("data_source", "")
+    calculation_logic = data.get("calculation", "")
+    comparable_benchmark = data.get("comparable_benchmark")
+    limitations = data.get("limitations")
+    kpi_code = data.get("kpi_code")
+    kpi_name = data.get("kpi_name")
+    has_actual = data.get("has_actual", False)
+    has_target = data.get("has_target", False)
+    has_trend = data.get("has_trend", False)
+    has_review = data.get("has_review", False)
+
     confidence = _calc_confidence(has_actual, has_target, has_trend, has_review)
 
     result = AnalysisResult(