test(frontend): UIUX E2E 测试 — 新增路由导航/创始人端/Admin端/工作台/移动端适配

新增 6 个 E2E 测试文件，覆盖 2-task-uiux.md 全部 50 项任务：
- uiux-navigation.spec.ts: 8 tests (today/compare/threads/workspace/ooda/ai-plus/profiles)
- sidebar-navigation.spec.ts: 6 tests (投资人 Sidebar 6 业务域)
- founder-uiux.spec.ts: 7 tests (创始人端 6 域导航)
- admin-uiux.spec.ts: 3 tests (Admin 6 管理域 + 商业秘密保护)
- workbench-uiux.spec.ts: 5 tests (Highlights/WorkMode/Tab/InsightRail)
- mobile-uiux.spec.ts: 5 tests (移动端抽屉导航 + 创始人底部导航)

同时修复全部 no-explicit-any 警告，替换为 TypeScript 接口定义。

测试结果: 41 E2E passed, 405 backend passed

frontend/src/app/(investor)/portfolio/page.tsx

@@ -1,21 +1,34 @@
 "use client";
 
 import { useState } from "react";
-import { BarChart3, Sparkles } from "lucide-react";
+import {Sparkles } from "lucide-react";
 import { rebalancePortfolio, runMonteCarlo } from "@/lib/api-v2";
 import { PageContainer, Card, Badge } from "@/components/shared/PageContainer";
 import { toast } from "sonner";
 
+/** 再平衡结果。 */
+interface RebalanceResult {
+  irr_impact?: number;
+  dpi_impact?: number;
+}
+
+/** Monte Carlo 结果。 */
+interface MonteCarloResult {
+  percentile_p5?: string;
+  percentile_p50?: string;
+  percentile_p95?: string;
+}
+
 export default function PortfolioPage() {
-  const [rebalanceResult, setRebalanceResult] = useState<Record<string, any> | null>(null);
-  const [mcResult, setMcResult] = useState<Record<string, any> | null>(null);
+  const [rebalanceResult, setRebalanceResult] = useState<RebalanceResult | null>(null);
+  const [mcResult, setMcResult] = useState<MonteCarloResult | null>(null);
   const [isLoading, setIsLoading] = useState(false);
 
   const handleRebalance = async () => {
     setIsLoading(true);
     try {
       const resp = await rebalancePortfolio([]);
-      setRebalanceResult(resp.data as Record<string, any>);
+      setRebalanceResult(resp.data as RebalanceResult);
     } catch {
       toast.error("分析失败");
     } finally {
@@ -27,7 +40,7 @@ export default function PortfolioPage() {
     setIsLoading(true);
     try {
       const resp = await runMonteCarlo([0.15, 0.22, 0.08, 0.35, 0.12]);
-      setMcResult(resp.data as Record<string, any>);
+      setMcResult(resp.data as MonteCarloResult);
     } catch {
       toast.error("模拟失败");
     } finally {