feat: 引入 ECharts 统一图表并完善员工画像标签分页

后端优化员工行为画像服务和辅助函数，完善系统设置模型和
配置持久化，前端引入 ECharts 替换所有图表组件实现统一
渲染，新增员工画像标签分页器和数字员工工作记录组件，优
化工作台响应式布局和登录页过渡动画，完善预算中心和数字
员工页面样式细节。

server/src/app/services/employee_behavior_profile_service.py

@@ -33,8 +33,6 @@ from app.schemas.employee_profile import (
     EmployeeProfileRead,
 )
 from app.services.employee_behavior_profile_helpers import (
-    ENTERTAINMENT_EXPENSE_TYPES,
-    TRAVEL_EXPENSE_TYPES,
     EmployeeBehaviorProfileMetricHelpers,
 )
 from app.services.employee_behavior_profile_response import (
@@ -787,30 +785,3 @@ class EmployeeBehaviorProfileService(EmployeeBehaviorProfileMetricHelpers):
         if len({self._claim_employee_key(claim) for claim in department_claims}) >= 3:
             return department_claims, 0
         return claims, 3
-
-    def _resolve_scope_from_claim(self, claim_id: str | None, expense_type_scope: str) -> str:
-        normalized = str(expense_type_scope or "overall").strip() or "overall"
-        if normalized != "overall" or not claim_id:
-            return normalized
-        claim = self.db.get(ExpenseClaim, claim_id)
-        return str(claim.expense_type or "overall").strip() if claim is not None else normalized
-
-    def _is_claim_in_scope(self, claim: ExpenseClaim, expense_type_scope: str) -> bool:
-        scope = str(expense_type_scope or "overall").strip()
-        if scope == "overall":
-            return True
-        if scope == "entertainment":
-            return claim.expense_type in ENTERTAINMENT_EXPENSE_TYPES
-        if scope == "travel":
-            return claim.expense_type in TRAVEL_EXPENSE_TYPES
-        return claim.expense_type == scope
-
-    def _common_metrics(self, context: dict[str, Any]) -> dict[str, Any]:
-        return {
-            "window_days": context["window_days"],
-            "expense_type_scope": context["expense_type_scope"],
-            "peer_group_key": context["peer_group_key"],
-            "peer_group_fallback_level": context["peer_group_fallback_level"],
-            "peer_sample_size": context["peer_sample_size"],
-            "algorithm_version": ALGORITHM_VERSION,
-        }