feat: 添加MSW模拟服务和数据源集成

refactor: 重构页面组件移除冗余Layout组件

feat: 实现WebSocket和事件总线系统

feat: 添加队列和调度系统

docs: 更新架构文档和服务映射

style: 清理重复接口定义使用数据源

chore: 更新依赖项配置

feat: 添加运行时系统和领域引导

ci: 配置ESLint边界检查规则

build: 添加Redis和WebSocket依赖

test: 添加MSW浏览器环境入口

perf: 优化数据获取逻辑使用统一数据源

fix: 修复类型定义和状态管理问题

dashboard/src/services/adOptimizationDataSource.ts

@@ -0,0 +1,220 @@
+/**
+ * [MOCK-AD-001] Ad Optimization数据源抽象层
+ * AI注意: 这是数据源抽象层，业务组件通过此层获取数据
+ * 仅在REACT_APP_USE_MOCK=true时启用Mock
+ * 
+ * @module services/adOptimizationDataSource
+ * @created 2026-03-19
+ */
+
+import { IMockDataSource } from '@/types/datasource';
+
+// ============================================
+// 类型定义
+// ============================================
+
+export interface OptimizationSuggestion {
+  id: string;
+  adId: string;
+  adName: string;
+  currentCPC: number;
+  suggestedCPC: number;
+  currentROI: number;
+  expectedROI: number;
+  currentSpend: number;
+  suggestedSpend: number;
+  confidence: number;
+  status: 'pending' | 'applied' | 'rejected';
+}
+
+export interface AdPerformance {
+  id: string;
+  date: string;
+  clicks: number;
+  conversions: number;
+  spend: number;
+  roi: number;
+}
+
+export interface AdOptimizationQueryParams {
+  adId?: string;
+  startDate?: string;
+  endDate?: string;
+}
+
+export interface AdOptimizationData {
+  suggestions: OptimizationSuggestion[];
+  performance: AdPerformance[];
+}
+
+// ============================================
+// Ad Optimization专用接口
+// ============================================
+
+export interface IAdOptimizationDataSource {
+  optimize(params?: AdOptimizationQueryParams): Promise<AdOptimizationData>;
+  fetchSuggestions(): Promise<OptimizationSuggestion[]>;
+  fetchPerformance(): Promise<AdPerformance[]>;
+  applySuggestion(id: string): Promise<OptimizationSuggestion>;
+  rejectSuggestion(id: string): Promise<OptimizationSuggestion>;
+}
+
+// ============================================
+// API实现
+// ============================================
+
+class ApiAdOptimizationDataSource implements IAdOptimizationDataSource {
+  async optimize(params?: AdOptimizationQueryParams): Promise<AdOptimizationData> {
+    const [suggestions, performance] = await Promise.all([
+      this.fetchSuggestions(),
+      this.fetchPerformance(),
+    ]);
+    return { suggestions, performance };
+  }
+
+  async fetchSuggestions(): Promise<OptimizationSuggestion[]> {
+    const response = await fetch('/api/v1/ad/optimization/suggestions');
+    const result = await response.json();
+    return result.data;
+  }
+
+  async fetchPerformance(): Promise<AdPerformance[]> {
+    const response = await fetch('/api/v1/ad/optimization/performance');
+    const result = await response.json();
+    return result.data;
+  }
+
+  async applySuggestion(id: string): Promise<OptimizationSuggestion> {
+    const response = await fetch(`/api/v1/ad/optimization/suggestions/${id}/apply`, {
+      method: 'POST',
+    });
+    const result = await response.json();
+    return result.data;
+  }
+
+  async rejectSuggestion(id: string): Promise<OptimizationSuggestion> {
+    const response = await fetch(`/api/v1/ad/optimization/suggestions/${id}/reject`, {
+      method: 'POST',
+    });
+    const result = await response.json();
+    return result.data;
+  }
+}
+
+// ============================================
+// Mock实现
+// ============================================
+
+/**
+ * [MOCK] Ad Optimization Mock数据源
+ * AI注意: 这是Mock实现，不是真实业务逻辑
+ * 仅在REACT_APP_USE_MOCK=true时启用
+ */
+class MockAdOptimizationDataSource implements IAdOptimizationDataSource, IMockDataSource {
+  readonly __MOCK__ = true as const;
+  readonly __MOCK_NAME__ = 'MockAdOptimizationDataSource';
+
+  private mockSuggestions: OptimizationSuggestion[] = [
+    {
+      id: '1',
+      adId: 'AD001',
+      adName: '智能手表推广',
+      currentCPC: 1.5,
+      suggestedCPC: 1.2,
+      currentROI: 3.2,
+      expectedROI: 4.5,
+      currentSpend: 1000,
+      suggestedSpend: 1200,
+      confidence: 0.85,
+      status: 'pending',
+    },
+    {
+      id: '2',
+      adId: 'AD002',
+      adName: '无线耳机促销',
+      currentCPC: 0.8,
+      suggestedCPC: 1.0,
+      currentROI: 2.8,
+      expectedROI: 3.5,
+      currentSpend: 800,
+      suggestedSpend: 900,
+      confidence: 0.90,
+      status: 'pending',
+    },
+    {
+      id: '3',
+      adId: 'AD003',
+      adName: '智能音箱新品',
+      currentCPC: 2.0,
+      suggestedCPC: 1.8,
+      currentROI: 2.5,
+      expectedROI: 3.2,
+      currentSpend: 1200,
+      suggestedSpend: 1000,
+      confidence: 0.80,
+      status: 'pending',
+    },
+  ];
+
+  private mockPerformance: AdPerformance[] = [
+    { id: '1', date: '2026-03-12', clicks: 1200, conversions: 120, spend: 1800, roi: 3.2 },
+    { id: '2', date: '2026-03-13', clicks: 1300, conversions: 135, spend: 1950, roi: 3.4 },
+    { id: '3', date: '2026-03-14', clicks: 1100, conversions: 105, spend: 1650, roi: 3.1 },
+    { id: '4', date: '2026-03-15', clicks: 1400, conversions: 150, spend: 2100, roi: 3.3 },
+    { id: '5', date: '2026-03-16', clicks: 1500, conversions: 165, spend: 2250, roi: 3.5 },
+    { id: '6', date: '2026-03-17', clicks: 1600, conversions: 180, spend: 2400, roi: 3.6 },
+    { id: '7', date: '2026-03-18', clicks: 1700, conversions: 195, spend: 2550, roi: 3.8 },
+  ];
+
+  async optimize(params?: AdOptimizationQueryParams): Promise<AdOptimizationData> {
+    await this.simulateDelay(1500);
+    const [suggestions, performance] = await Promise.all([
+      this.fetchSuggestions(),
+      this.fetchPerformance(),
+    ]);
+    return { suggestions, performance };
+  }
+
+  async fetchSuggestions(): Promise<OptimizationSuggestion[]> {
+    await this.simulateDelay(300);
+    return [...this.mockSuggestions];
+  }
+
+  async fetchPerformance(): Promise<AdPerformance[]> {
+    await this.simulateDelay(200);
+    return [...this.mockPerformance];
+  }
+
+  async applySuggestion(id: string): Promise<OptimizationSuggestion> {
+    await this.simulateDelay(200);
+    const index = this.mockSuggestions.findIndex(s => s.id === id);
+    if (index === -1) throw new Error('Suggestion not found');
+    this.mockSuggestions[index] = { ...this.mockSuggestions[index], status: 'applied' };
+    return this.mockSuggestions[index];
+  }
+
+  async rejectSuggestion(id: string): Promise<OptimizationSuggestion> {
+    await this.simulateDelay(200);
+    const index = this.mockSuggestions.findIndex(s => s.id === id);
+    if (index === -1) throw new Error('Suggestion not found');
+    this.mockSuggestions[index] = { ...this.mockSuggestions[index], status: 'rejected' };
+    return this.mockSuggestions[index];
+  }
+
+  private simulateDelay(ms: number): Promise<void> {
+    return new Promise(resolve => setTimeout(resolve, ms));
+  }
+}
+
+// ============================================
+// 导出数据源实例
+// ============================================
+
+const useMock = process.env.REACT_APP_USE_MOCK === 'true';
+
+export const adOptimizationDataSource: IAdOptimizationDataSource = useMock
+  ? new MockAdOptimizationDataSource()
+  : new ApiAdOptimizationDataSource();
+
+export const __MOCK__ = useMock;
+export const __DATA_SOURCE_TYPE__ = useMock ? 'mock' : 'api';