前端架构设计模式与AI驱动的智能化演进

前端架构设计模式经历了从简单的MVC到复杂的微前端架构的演进历程。随着AI技术的成熟，传统的架构设计模式正在与智能化技术深度融合，形成新一代的智能前端架构。本文将深入探讨经典前端架构模式的核心原理，以及AI如何重塑这些模式，推动前端架构向智能化方向发展。MVVM模式的响应式实现1.2 组件化架构模式组件生命周期管理1.3 状态管理模式Flux/Redux模式实现二、AI驱动的架构智能化2.1 智能

喜葵

739人浏览 · 2025-08-27 18:57:33

喜葵 · 2025-08-27 18:57:33 发布

前端架构设计模式与AI驱动的智能化演进

前言

前端架构设计模式经历了从简单的MVC到复杂的微前端架构的演进历程。随着AI技术的成熟，传统的架构设计模式正在与智能化技术深度融合，形成新一代的智能前端架构。本文将深入探讨经典前端架构模式的核心原理，以及AI如何重塑这些模式，推动前端架构向智能化方向发展。

一、经典前端架构模式解析

1.1 MVC/MVP/MVVM模式演进

MVC模式的核心实现

// 经典MVC模式实现
class Model {
  constructor() {
    this.data = {};
    this.observers = [];
  }

  // 数据变更通知
  notify(change) {
    this.observers.forEach(observer => observer.update(change));
  }

  // 设置数据
  setData(key, value) {
    const oldValue = this.data[key];
    this.data[key] = value;
    
    this.notify({
      type: 'data-change',
      key,
      oldValue,
      newValue: value
    });
  }

  // 获取数据
  getData(key) {
    return this.data[key];
  }

  // 添加观察者
  addObserver(observer) {
    this.observers.push(observer);
  }
}

class View {
  constructor(element) {
    this.element = element;
    this.controller = null;
  }

  // 渲染视图
  render(data) {
    this.element.innerHTML = this.template(data);
    this.bindEvents();
  }

  // 模板方法
  template(data) {
    return `
      <div class="user-info">
        <h2>${data.name || 'Unknown'}</h2>
        <p>Email: ${data.email || 'N/A'}</p>
        <button id="edit-btn">Edit</button>
      </div>
    `;
  }

  // 绑定事件
  bindEvents() {
    const editBtn = this.element.querySelector('#edit-btn');
    if (editBtn && this.controller) {
      editBtn.addEventListener('click', () => {
        this.controller.handleEdit();
      });
    }
  }

  // 更新视图
  update(change) {
    if (change.type === 'data-change') {
      this.render(this.controller.model.data);
    }
  }

  // 设置控制器
  setController(controller) {
    this.controller = controller;
  }
}

class Controller {
  constructor(model, view) {
    this.model = model;
    this.view = view;
    
    // 建立关联
    this.model.addObserver(this.view);
    this.view.setController(this);
  }

  // 处理编辑操作
  handleEdit() {
    const newName = prompt('Enter new name:', this.model.getData('name'));
    if (newName) {
      this.model.setData('name', newName);
    }
  }

  // 初始化数据
  initialize(userData) {
    Object.keys(userData).forEach(key => {
      this.model.setData(key, userData[key]);
    });
    this.view.render(this.model.data);
  }
}

// 使用示例
const userModel = new Model();
const userView = new View(document.getElementById('user-container'));
const userController = new Controller(userModel, userView);

userController.initialize({
  name: 'John Doe',
  email: 'john@example.com'
});

MVVM模式的响应式实现

// 现代MVVM模式实现（类Vue.js）
class ReactiveSystem {
  constructor() {
    this.dependencies = new Map();
    this.currentWatcher = null;
  }

  // 依赖收集
  depend(target, key) {
    if (this.currentWatcher) {
      const deps = this.dependencies.get(target) || new Map();
      const keyDeps = deps.get(key) || new Set();
      keyDeps.add(this.currentWatcher);
      deps.set(key, keyDeps);
      this.dependencies.set(target, deps);
    }
  }

  // 触发更新
  notify(target, key) {
    const deps = this.dependencies.get(target);
    if (deps) {
      const keyDeps = deps.get(key);
      if (keyDeps) {
        keyDeps.forEach(watcher => watcher.update());
      }
    }
  }
}

const reactiveSystem = new ReactiveSystem();

// 响应式数据代理
function reactive(obj) {
  return new Proxy(obj, {
    get(target, key) {
      reactiveSystem.depend(target, key);
      return target[key];
    },
    set(target, key, value) {
      target[key] = value;
      reactiveSystem.notify(target, key);
      return true;
    }
  });
}

// 计算属性实现
function computed(fn) {
  let value;
  let dirty = true;
  
  const watcher = {
    update() {
      dirty = true;
    }
  };

  return {
    get value() {
      if (dirty) {
        reactiveSystem.currentWatcher = watcher;
        value = fn();
        reactiveSystem.currentWatcher = null;
        dirty = false;
      }
      return value;
    }
  };
}

// ViewModel实现
class ViewModel {
  constructor(data, template) {
    this.data = reactive(data);
    this.template = template;
    this.computedProperties = new Map();
    this.watchers = new Map();
    this.element = null;
  }

  // 添加计算属性
  addComputed(name, fn) {
    this.computedProperties.set(name, computed(fn));
  }

  // 添加监听器
  addWatcher(expression, callback) {
    const watcher = {
      update: () => {
        const newValue = this.evaluate(expression);
        callback(newValue);
      }
    };
    
    this.watchers.set(expression, watcher);
    
    // 初始执行以建立依赖
    reactiveSystem.currentWatcher = watcher;
    this.evaluate(expression);
    reactiveSystem.currentWatcher = null;
  }

  // 表达式求值
  evaluate(expression) {
    try {
      return new Function('data', 'computed', `
        with(data) {
          return ${expression};
        }
      `)(this.data, Object.fromEntries(this.computedProperties));
    } catch (e) {
      console.error('Expression evaluation error:', e);
      return undefined;
    }
  }

  // 模板编译
  compile(template) {
    // 简化的模板编译器
    return template.replace(/\{\{(.+?)\}\}/g, (match, expression) => {
      return this.evaluate(expression.trim());
    });
  }

  // 渲染
  render(container) {
    this.element = container;
    this.update();
    
    // 设置自动更新
    this.addWatcher('true', () => this.update());
  }

  update() {
    if (this.element) {
      this.element.innerHTML = this.compile(this.template);
    }
  }
}

// 使用示例
const viewModel = new ViewModel(
  {
    firstName: 'John',
    lastName: 'Doe',
    age: 30
  },
  `
    <div>
      <h1>{{fullName}}</h1>
      <p>Age: {{age}}</p>
      <p>Status: {{ageStatus}}</p>
    </div>
  `
);

// 添加计算属性
viewModel.addComputed('fullName', () => {
  return `${viewModel.data.firstName} ${viewModel.data.lastName}`;
});

viewModel.addComputed('ageStatus', () => {
  return viewModel.data.age >= 18 ? 'Adult' : 'Minor';
});

// 渲染到页面
viewModel.render(document.getElementById('app'));

1.2 组件化架构模式

组件生命周期管理

// 现代组件系统实现
class Component {
  constructor(props = {}) {
    this.props = props;
    this.state = {};
    this.element = null;
    this.children = [];
    this.parent = null;
    this.lifecycle = {
      mounted: false,
      destroyed: false
    };
    this.eventListeners = new Map();
  }

  // 生命周期钩子
  beforeCreate() {
    // 组件实例创建前
  }

  created() {
    // 组件实例创建后
  }

  beforeMount() {
    // 挂载前
  }

  mounted() {
    // 挂载后
    this.lifecycle.mounted = true;
  }

  beforeUpdate() {
    // 更新前
  }

  updated() {
    // 更新后
  }

  beforeDestroy() {
    // 销毁前
  }

  destroyed() {
    // 销毁后
    this.lifecycle.destroyed = true;
    this.cleanup();
  }

  // 状态管理
  setState(newState) {
    const oldState = { ...this.state };
    this.state = { ...this.state, ...newState };
    
    if (this.lifecycle.mounted && !this.lifecycle.destroyed) {
      this.beforeUpdate();
      this.update();
      this.updated();
    }
  }

  // 渲染方法（需要子类实现）
  render() {
    throw new Error('render method must be implemented');
  }

  // 更新组件
  update() {
    if (this.element) {
      const newElement = this.render();
      this.element.parentNode.replaceChild(newElement, this.element);
      this.element = newElement;
      this.bindEvents();
    }
  }

  // 挂载组件
  mount(container) {
    this.beforeCreate();
    this.created();
    this.beforeMount();
    
    this.element = this.render();
    container.appendChild(this.element);
    this.bindEvents();
    
    this.mounted();
    return this;
  }

  // 卸载组件
  unmount() {
    this.beforeDestroy();
    
    if (this.element && this.element.parentNode) {
      this.element.parentNode.removeChild(this.element);
    }
    
    this.children.forEach(child => child.unmount());
    this.destroyed();
  }

  // 事件绑定
  bindEvents() {
    // 子类可以重写此方法来绑定特定事件
  }

  // 清理资源
  cleanup() {
    this.eventListeners.forEach((listener, element) => {
      element.removeEventListener(listener.event, listener.handler);
    });
    this.eventListeners.clear();
  }

  // 添加事件监听
  addEventListener(element, event, handler) {
    element.addEventListener(event, handler);
    this.eventListeners.set(element, { event, handler });
  }

  // 子组件管理
  addChild(child) {
    child.parent = this;
    this.children.push(child);
  }

  removeChild(child) {
    const index = this.children.indexOf(child);
    if (index > -1) {
      this.children.splice(index, 1);
      child.parent = null;
    }
  }
}

// 具体组件实现示例
class TodoList extends Component {
  constructor(props) {
    super(props);
    this.state = {
      todos: [],
      newTodo: ''
    };
  }

  created() {
    // 初始化数据
    this.loadTodos();
  }

  async loadTodos() {
    try {
      const todos = await this.props.todoService.getTodos();
      this.setState({ todos });
    } catch (error) {
      console.error('Failed to load todos:', error);
    }
  }

  render() {
    const container = document.createElement('div');
    container.className = 'todo-list';
    container.innerHTML = `
      <div class="todo-header">
        <h2>Todo List</h2>
        <div class="todo-input">
          <input type="text" placeholder="Add new todo..." value="${this.state.newTodo}">
          <button class="add-btn">Add</button>
        </div>
      </div>
      <ul class="todo-items">
        ${this.state.todos.map(todo => `
          <li class="todo-item ${todo.completed ? 'completed' : ''}" data-id="${todo.id}">
            <input type="checkbox" ${todo.completed ? 'checked' : ''}>
            <span class="todo-text">${todo.text}</span>
            <button class="delete-btn">Delete</button>
          </li>
        `).join('')}
      </ul>
    `;
    
    return container;
  }

  bindEvents() {
    const input = this.element.querySelector('input[type="text"]');
    const addBtn = this.element.querySelector('.add-btn');
    const todoItems = this.element.querySelectorAll('.todo-item');

    // 输入框事件
    this.addEventListener(input, 'input', (e) => {
      this.setState({ newTodo: e.target.value });
    });

    this.addEventListener(input, 'keypress', (e) => {
      if (e.key === 'Enter') {
        this.addTodo();
      }
    });

    // 添加按钮事件
    this.addEventListener(addBtn, 'click', () => {
      this.addTodo();
    });

    // Todo项目事件
    todoItems.forEach(item => {
      const checkbox = item.querySelector('input[type="checkbox"]');
      const deleteBtn = item.querySelector('.delete-btn');
      const todoId = parseInt(item.dataset.id);

      this.addEventListener(checkbox, 'change', () => {
        this.toggleTodo(todoId);
      });

      this.addEventListener(deleteBtn, 'click', () => {
        this.deleteTodo(todoId);
      });
    });
  }

  async addTodo() {
    if (this.state.newTodo.trim()) {
      try {
        const newTodo = await this.props.todoService.createTodo({
          text: this.state.newTodo.trim(),
          completed: false
        });
        
        this.setState({
          todos: [...this.state.todos, newTodo],
          newTodo: ''
        });
      } catch (error) {
        console.error('Failed to add todo:', error);
      }
    }
  }

  async toggleTodo(id) {
    try {
      const todo = this.state.todos.find(t => t.id === id);
      const updatedTodo = await this.props.todoService.updateTodo(id, {
        ...todo,
        completed: !todo.completed
      });
      
      this.setState({
        todos: this.state.todos.map(t => t.id === id ? updatedTodo : t)
      });
    } catch (error) {
      console.error('Failed to toggle todo:', error);
    }
  }

  async deleteTodo(id) {
    try {
      await this.props.todoService.deleteTodo(id);
      this.setState({
        todos: this.state.todos.filter(t => t.id !== id)
      });
    } catch (error) {
      console.error('Failed to delete todo:', error);
    }
  }
}

1.3 状态管理模式

Flux/Redux模式实现

// 现代状态管理系统实现
class Store {
  constructor(reducer, initialState = {}) {
    this.state = initialState;
    this.reducer = reducer;
    this.listeners = new Set();
    this.middleware = [];
    this.isDispatching = false;
  }

  // 获取当前状态
  getState() {
    return this.state;
  }

  // 分发动作
  dispatch(action) {
    if (this.isDispatching) {
      throw new Error('Cannot dispatch while dispatching');
    }

    try {
      this.isDispatching = true;
      
      // 应用中间件
      const finalAction = this.applyMiddleware(action);
      
      // 更新状态
      const newState = this.reducer(this.state, finalAction);
      
      if (newState !== this.state) {
        this.state = newState;
        this.notifyListeners();
      }
    } finally {
      this.isDispatching = false;
    }

    return action;
  }

  // 订阅状态变化
  subscribe(listener) {
    this.listeners.add(listener);
    
    // 返回取消订阅函数
    return () => {
      this.listeners.delete(listener);
    };
  }

  // 通知监听器
  notifyListeners() {
    this.listeners.forEach(listener => listener(this.state));
  }

  // 应用中间件
  applyMiddleware(action) {
    let finalAction = action;
    
    for (const middleware of this.middleware) {
      finalAction = middleware(this)(finalAction);
    }
    
    return finalAction;
  }

  // 添加中间件
  use(middleware) {
    this.middleware.push(middleware);
  }
}

// 中间件实现
const loggerMiddleware = (store) => (action) => {
  console.group(`Action: ${action.type}`);
  console.log('Previous State:', store.getState());
  console.log('Action:', action);
  
  const result = action;
  
  console.log('Next State:', store.getState());
  console.groupEnd();
  
  return result;
};

const thunkMiddleware = (store) => (action) => {
  if (typeof action === 'function') {
    return action(store.dispatch, store.getState);
  }
  return action;
};

const asyncMiddleware = (store) => (action) => {
  if (action && typeof action.then === 'function') {
    return action.then(store.dispatch);
  }
  return action;
};

// Action创建器
const ActionTypes = {
  ADD_TODO: 'ADD_TODO',
  TOGGLE_TODO: 'TOGGLE_TODO',
  DELETE_TODO: 'DELETE_TODO',
  SET_TODOS: 'SET_TODOS',
  SET_LOADING: 'SET_LOADING',
  SET_ERROR: 'SET_ERROR'
};

const actionCreators = {
  addTodo: (text) => ({
    type: ActionTypes.ADD_TODO,
    payload: { text, id: Date.now(), completed: false }
  }),

  toggleTodo: (id) => ({
    type: ActionTypes.TOGGLE_TODO,
    payload: { id }
  }),

  deleteTodo: (id) => ({
    type: ActionTypes.DELETE_TODO,
    payload: { id }
  }),

  setTodos: (todos) => ({
    type: ActionTypes.SET_TODOS,
    payload: { todos }
  }),

  setLoading: (loading) => ({
    type: ActionTypes.SET_LOADING,
    payload: { loading }
  }),

  setError: (error) => ({
    type: ActionTypes.SET_ERROR,
    payload: { error }
  }),

  // 异步Action创建器
  fetchTodos: () => async (dispatch, getState) => {
    dispatch(actionCreators.setLoading(true));
    
    try {
      const response = await fetch('/api/todos');
      const todos = await response.json();
      dispatch(actionCreators.setTodos(todos));
    } catch (error) {
      dispatch(actionCreators.setError(error.message));
    } finally {
      dispatch(actionCreators.setLoading(false));
    }
  },

  createTodo: (text) => async (dispatch) => {
    try {
      const response = await fetch('/api/todos', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify({ text, completed: false })
      });
      const todo = await response.json();
      dispatch(actionCreators.addTodo(todo.text));
    } catch (error) {
      dispatch(actionCreators.setError(error.message));
    }
  }
};

// Reducer实现
const initialState = {
  todos: [],
  loading: false,
  error: null
};

function todoReducer(state = initialState, action) {
  switch (action.type) {
    case ActionTypes.ADD_TODO:
      return {
        ...state,
        todos: [...state.todos, action.payload]
      };

    case ActionTypes.TOGGLE_TODO:
      return {
        ...state,
        todos: state.todos.map(todo =>
          todo.id === action.payload.id
            ? { ...todo, completed: !todo.completed }
            : todo
        )
      };

    case ActionTypes.DELETE_TODO:
      return {
        ...state,
        todos: state.todos.filter(todo => todo.id !== action.payload.id)
      };

    case ActionTypes.SET_TODOS:
      return {
        ...state,
        todos: action.payload.todos
      };

    case ActionTypes.SET_LOADING:
      return {
        ...state,
        loading: action.payload.loading
      };

    case ActionTypes.SET_ERROR:
      return {
        ...state,
        error: action.payload.error
      };

    default:
      return state;
  }
}

// 创建store
const store = new Store(todoReducer, initialState);
store.use(loggerMiddleware);
store.use(thunkMiddleware);
store.use(asyncMiddleware);

// 使用示例
store.subscribe((state) => {
  console.log('State updated:', state);
});

// 分发同步action
store.dispatch(actionCreators.addTodo('Learn Redux'));

// 分发异步action
store.dispatch(actionCreators.fetchTodos());

二、AI驱动的架构智能化

2.1 智能架构分析与推荐

// AI架构分析器
class IntelligentArchitectureAnalyzer {
  constructor() {
    this.analysisModel = null;
    this.patternDetector = new ArchitecturePatternDetector();
    this.complexityAnalyzer = new ComplexityAnalyzer();
    this.performancePredictor = new PerformancePredictor();
  }

  async initialize() {
    this.analysisModel = await tf.loadLayersModel('/models/architecture-analysis.json');
  }

  async analyzeArchitecture(codebase) {
    const structureAnalysis = await this.analyzeStructure(codebase);
    const patternAnalysis = await this.patternDetector.detect(codebase);
    const complexityAnalysis = await this.complexityAnalyzer.analyze(codebase);
    const performanceAnalysis = await this.performancePredictor.predict(codebase);

    const recommendations = await this.generateRecommendations({
      structure: structureAnalysis,
      patterns: patternAnalysis,
      complexity: complexityAnalysis,
      performance: performanceAnalysis
    });

    return {
      currentArchitecture: this.classifyArchitecture(structureAnalysis, patternAnalysis),
      healthScore: this.calculateHealthScore(structureAnalysis, complexityAnalysis),
      recommendations,
      migrationPath: await this.generateMigrationPath(recommendations),
      riskAssessment: this.assessRisks(structureAnalysis, complexityAnalysis)
    };
  }

  async analyzeStructure(codebase) {
    const analysis = {
      componentCount: 0,
      moduleCount: 0,
      dependencyGraph: new Map(),
      layerStructure: [],
      couplingMetrics: {},
      cohesionMetrics: {}
    };

    // 分析组件结构
    for (const file of codebase.files) {
      if (this.isComponent(file)) {
        analysis.componentCount++;
        const dependencies = this.extractDependencies(file);
        analysis.dependencyGraph.set(file.path, dependencies);
      }
      
      if (this.isModule(file)) {
        analysis.moduleCount++;
      }
    }

    // 分析层次结构
    analysis.layerStructure = this.analyzeLayers(codebase);
    
    // 计算耦合度
    analysis.couplingMetrics = this.calculateCoupling(analysis.dependencyGraph);
    
    // 计算内聚度
    analysis.cohesionMetrics = this.calculateCohesion(codebase);

    return analysis;
  }

  async generateRecommendations(analysis) {
    const features = this.extractArchitectureFeatures(analysis);
    const predictions = await this.analysisModel.predict(features);
    const predictionData = predictions.dataSync();

    const recommendations = [];

    // 架构模式推荐
    if (predictionData[0] > 0.7) {
      recommendations.push({
        type: 'pattern',
        priority: 'high',
        title: 'Consider Micro-Frontend Architecture',
        description: 'Your application complexity suggests benefits from micro-frontend pattern',
        benefits: [
          'Independent deployment',
          'Technology diversity',
          'Team autonomy',
          'Scalability'
        ],
        implementation: this.generateMicroFrontendPlan(analysis)
      });
    }

    // 组件化推荐
    if (predictionData[1] > 0.6) {
      recommendations.push({
        type: 'componentization',
        priority: 'medium',
        title: 'Improve Component Structure',
        description: 'Component organization can be optimized',
        suggestions: this.generateComponentSuggestions(analysis)
      });
    }

    // 状态管理推荐
    if (predictionData[2] > 0.8) {
      recommendations.push({
        type: 'state-management',
        priority: 'high',
        title: 'Implement Centralized State Management',
        description: 'Complex state interactions detected',
        options: this.generateStateManagementOptions(analysis)
      });
    }

    return recommendations.sort((a, b) => this.getPriorityWeight(b.priority) - this.getPriorityWeight(a.priority));
  }

  generateMicroFrontendPlan(analysis) {
    return {
      strategy: 'Module Federation',
      steps: [
        {
          phase: 'Preparation',
          tasks: [
            'Identify domain boundaries',
            'Define shared dependencies',
            'Setup module federation configuration'
          ]
        },
        {
          phase: 'Migration',
          tasks: [
            'Extract first micro-frontend',
            'Implement shell application',
            'Setup routing and communication'
          ]
        },
        {
          phase: 'Optimization',
          tasks: [
            'Optimize bundle sharing',
            'Implement error boundaries',
            'Setup monitoring and logging'
          ]
        }
      ],
      estimatedEffort: this.estimateMigrationEffort(analysis),
      risks: this.identifyMigrationRisks(analysis)
    };
  }

  async generateMigrationPath(recommendations) {
    const migrationSteps = [];
    
    // 按优先级和依赖关系排序推荐
    const sortedRecommendations = this.sortRecommendationsByDependency(recommendations);
    
    for (const recommendation of sortedRecommendations) {
      const step = {
        title: recommendation.title,
        type: recommendation.type,
        duration: this.estimateImplementationTime(recommendation),
        prerequisites: this.identifyPrerequisites(recommendation, migrationSteps),
        deliverables: this.defineDeliverables(recommendation),
        successCriteria: this.defineSuccessCriteria(recommendation)
      };
      
      migrationSteps.push(step);
    }
    
    return {
      steps: migrationSteps,
      totalDuration: migrationSteps.reduce((sum, step) => sum + step.duration, 0),
      parallelizable: this.identifyParallelizableSteps(migrationSteps),
      criticalPath: this.findCriticalPath(migrationSteps)
    };
  }
}

// 架构模式检测器
class ArchitecturePatternDetector {
  constructor() {
    this.patterns = new Map();
    this.initializePatterns();
  }

  initializePatterns() {
    // MVC模式检测
    this.patterns.set('mvc', {
      detect: (codebase) => this.detectMVC(codebase),
      confidence: 0,
      characteristics: ['model', 'view', 'controller', 'separation-of-concerns']
    });

    // MVVM模式检测
    this.patterns.set('mvvm', {
      detect: (codebase) => this.detectMVVM(codebase),
      confidence: 0,
      characteristics: ['viewmodel', 'data-binding', 'reactive']
    });

    // 组件化模式检测
    this.patterns.set('component-based', {
      detect: (codebase) => this.detectComponentBased(codebase),
      confidence: 0,
      characteristics: ['components', 'props', 'lifecycle', 'composition']
    });

    // 微前端模式检测
    this.patterns.set('micro-frontend', {
      detect: (codebase) => this.detectMicroFrontend(codebase),
      confidence: 0,
      characteristics: ['module-federation', 'independent-deployment', 'runtime-integration']
    });
  }

  async detect(codebase) {
    const detectedPatterns = [];

    for (const [name, pattern] of this.patterns) {
      const confidence = await pattern.detect(codebase);
      if (confidence > 0.3) {
        detectedPatterns.push({
          name,
          confidence,
          characteristics: pattern.characteristics,
          evidence: this.gatherEvidence(codebase, pattern)
        });
      }
    }

    return detectedPatterns.sort((a, b) => b.confidence - a.confidence);
  }

  detectMVC(codebase) {
    let score = 0;
    const indicators = {
      models: 0,
      views: 0,
      controllers: 0,
      separation: 0
    };

    for (const file of codebase.files) {
      const content = file.content.toLowerCase();
      
      // 检测Model
      if (content.includes('model') || content.includes('data') || content.includes('entity')) {
        indicators.models++;
      }
      
      // 检测View
      if (content.includes('view') || content.includes('template') || content.includes('render')) {
        indicators.views++;
      }
      
      // 检测Controller
      if (content.includes('controller') || content.includes('handler') || content.includes('action')) {
        indicators.controllers++;
      }
    }

    // 计算分离度
    indicators.separation = this.calculateSeparationScore(codebase);

    // 综合评分
    score = (indicators.models > 0 ? 0.25 : 0) +
            (indicators.views > 0 ? 0.25 : 0) +
            (indicators.controllers > 0 ? 0.25 : 0) +
            (indicators.separation * 0.25);

    return Math.min(score, 1.0);
  }

  detectComponentBased(codebase) {
    let score = 0;
    const indicators = {
      components: 0,
      props: 0,
      lifecycle: 0,
      composition: 0
    };

    for (const file of codebase.files) {
      const content = file.content;
      
      // 检测组件定义
      if (this.hasComponentDefinition(content)) {
        indicators.components++;
      }
      
      // 检测Props使用
      if (this.hasPropsUsage(content)) {
        indicators.props++;
      }
      
      // 检测生命周期
      if (this.hasLifecycleMethods(content)) {
        indicators.lifecycle++;
      }
      
      // 检测组件组合
      if (this.hasComponentComposition(content)) {
        indicators.composition++;
      }
    }

    // 计算组件化程度
    const totalFiles = codebase.files.length;
    score = (
      (indicators.components / totalFiles) * 0.4 +
      (indicators.props / totalFiles) * 0.2 +
      (indicators.lifecycle / totalFiles) * 0.2 +
      (indicators.composition / totalFiles) * 0.2
    );

    return Math.min(score, 1.0);
  }

  hasComponentDefinition(content) {
    const patterns = [
      /class\s+\w+\s+extends\s+(Component|React\.Component)/,
      /function\s+\w+\s*\([^)]*\)\s*{[^}]*return\s+</,
      /const\s+\w+\s*=\s*\([^)]*\)\s*=>\s*{[^}]*return\s+</,
      /Vue\.component\s*\(/,
      /export\s+default\s+{[^}]*template:/
    ];
    
    return patterns.some(pattern => pattern.test(content));
  }

  hasPropsUsage(content) {
    const patterns = [
      /this\.props\./,
      /props\./,
      /\{[^}]*props[^}]*\}/,
      /defineProps\s*\(/
    ];
    
    return patterns.some(pattern => pattern.test(content));
  }

  hasLifecycleMethods(content) {
    const patterns = [
      /componentDidMount|componentWillUnmount|componentDidUpdate/,
      /mounted|created|destroyed|updated/,
      /useEffect\s*\(/,
      /onMounted|onUnmounted|onUpdated/
    ];
    
    return patterns.some(pattern => pattern.test(content));
  }
}

2.2 智能组件生成与优化

// AI组件生成器
class IntelligentComponentGenerator {
  constructor() {
    this.generationModel = null;
    this.optimizationModel = null;
    this.templateLibrary = new Map();
    this.bestPractices = new Map();
  }

  async initialize() {
    this.generationModel = await tf.loadLayersModel('/models/component-generation.json');
    this.optimizationModel = await tf.loadLayersModel('/models/component-optimization.json');
    await this.loadTemplates();
    await this.loadBestPractices();
  }

  async generateComponent(specification) {
    const analysis = await this.analyzeSpecification(specification);
    const template = await this.selectOptimalTemplate(analysis);
    const generatedCode = await this.generateCode(analysis, template);
    const optimizedCode = await this.optimizeComponent(generatedCode, analysis);
    
    return {
      code: optimizedCode,
      structure: this.analyzeGeneratedStructure(optimizedCode),
      tests: await this.generateTests(optimizedCode, analysis),
      documentation: await this.generateDocumentation(optimizedCode, analysis),
      suggestions: await this.generateImprovementSuggestions(optimizedCode)
    };
  }

  async analyzeSpecification(spec) {
    return {
      type: this.classifyComponentType(spec),
      complexity: this.estimateComplexity(spec),
      dependencies: this.extractDependencies(spec),
      props: this.extractProps(spec),
      state: this.extractState(spec),
      events: this.extractEvents(spec),
      styling: this.extractStylingRequirements(spec),
      accessibility: this.extractAccessibilityRequirements(spec),
      performance: this.extractPerformanceRequirements(spec)
    };
  }

  classifyComponentType(spec) {
    const features = this.extractTypeFeatures(spec);
    const typeScores = {
      'presentational': this.scorePresentational(features),
      'container': this.scoreContainer(features),
      'form': this.scoreForm(features),
      'layout': this.scoreLayout(features),
      'navigation': this.scoreNavigation(features),
      'data-display': this.scoreDataDisplay(features)
    };

    const bestType = Object.entries(typeScores)
      .reduce((best, [type, score]) => score > best.score ? { type, score } : best, { type: 'presentational', score: 0 });

    return {
      primary: bestType.type,
      confidence: bestType.score,
      secondary: this.getSecondaryTypes(typeScores, bestType.type)
    };
  }

  async selectOptimalTemplate(analysis) {
    const templateFeatures = tf.tensor2d([[
      this.encodeComponentType(analysis.type.primary),
      analysis.complexity,
      analysis.props.length,
      analysis.state.length,
      analysis.events.length,
      analysis.dependencies.length
    ]]);

    const prediction = await this.generationModel.predict(templateFeatures);
    const templateScores = prediction.dataSync();
    
    const templates = Array.from(this.templateLibrary.keys());
    const bestTemplateIndex = templateScores.indexOf(Math.max(...templateScores));
    
    return this.templateLibrary.get(templates[bestTemplateIndex]);
  }

  async generateCode(analysis, template) {
    let code = template.base;
    
    // 生成导入语句
    code = this.generateImports(code, analysis);
    
    // 生成Props接口
    code = this.generatePropsInterface(code, analysis);
    
    // 生成状态定义
    code = this.generateStateDefinition(code, analysis);
    
    // 生成生命周期方法
    code = this.generateLifecycleMethods(code, analysis);
    
    // 生成事件处理器
    code = this.generateEventHandlers(code, analysis);
    
    // 生成渲染方法
    code = this.generateRenderMethod(code, analysis);
    
    // 生成样式
    code = this.generateStyles(code, analysis);
    
    return code;
  }

  generatePropsInterface(code, analysis) {
    if (analysis.props.length === 0) return code;
    
    const propsInterface = `
interface Props {
${analysis.props.map(prop => {
  const optional = prop.required ? '' : '?';
  const type = this.mapToTypeScript(prop.type);
  const comment = prop.description ? `  /** ${prop.description} */\n` : '';
  return `${comment}  ${prop.name}${optional}: ${type};`;
}).join('\n')}
}
`;
    
    return code.replace('{{PROPS_INTERFACE}}', propsInterface);
  }

  generateStateDefinition(code, analysis) {
    if (analysis.state.length === 0) {
      return code.replace('{{STATE_DEFINITION}}', '');
    }
    
    const stateDefinition = `
interface State {
${analysis.state.map(state => {
  const type = this.mapToTypeScript(state.type);
  const comment = state.description ? `  /** ${state.description} */\n` : '';
  return `${comment}  ${state.name}: ${type};`;
}).join('\n')}
}

const initialState: State = {
${analysis.state.map(state => {
  const defaultValue = this.generateDefaultValue(state.type, state.default);
  return `  ${state.name}: ${defaultValue}`;
}).join(',\n')}
};
`;
    
    return code.replace('{{STATE_DEFINITION}}', stateDefinition);
  }

  generateEventHandlers(code, analysis) {
    if (analysis.events.length === 0) {
      return code.replace('{{EVENT_HANDLERS}}', '');
    }
    
    const handlers = analysis.events.map(event => {
      const handlerName = `handle${this.capitalize(event.name)}`;
      const params = event.parameters.map(p => `${p.name}: ${this.mapToTypeScript(p.type)}`).join(', ');
      
      return `
  const ${handlerName} = (${params}) => {
    ${this.generateEventHandlerBody(event)}
  };`;
    }).join('\n');
    
    return code.replace('{{EVENT_HANDLERS}}', handlers);
  }

  generateRenderMethod(code, analysis) {
    const renderContent = this.generateRenderContent(analysis);
    return code.replace('{{RENDER_CONTENT}}', renderContent);
  }

  generateRenderContent(analysis) {
    switch (analysis.type.primary) {
      case 'form':
        return this.generateFormRender(analysis);
      case 'data-display':
        return this.generateDataDisplayRender(analysis);
      case 'navigation':
        return this.generateNavigationRender(analysis);
      case 'layout':
        return this.generateLayoutRender(analysis);
      default:
        return this.generateGenericRender(analysis);
    }
  }

  generateFormRender(analysis) {
    const formFields = analysis.props.filter(prop => prop.category === 'form-field');
    
    return `
    <form onSubmit={handleSubmit} className="component-form">
      ${formFields.map(field => {
        return this.generateFormField(field);
      }).join('\n      ')}
      
      <div className="form-actions">
        <button type="submit" disabled={isSubmitting}>
          {isSubmitting ? 'Submitting...' : 'Submit'}
        </button>
        <button type="button" onClick={handleReset}>
          Reset
        </button>
      </div>
    </form>`;
  }

  generateFormField(field) {
    switch (field.inputType) {
      case 'text':
      case 'email':
      case 'password':
        return `<div className="form-field">
        <label htmlFor="${field.name}">${field.label}</label>
        <input
          type="${field.inputType}"
          id="${field.name}"
          name="${field.name}"
          value={formData.${field.name}}
          onChange={handleInputChange}
          required={${field.required}}
          placeholder="${field.placeholder || ''}"
        />
      </div>`;
      
      case 'select':
        return `<div className="form-field">
        <label htmlFor="${field.name}">${field.label}</label>
        <select
          id="${field.name}"
          name="${field.name}"
          value={formData.${field.name}}
          onChange={handleInputChange}
          required={${field.required}}
        >
          <option value="">Select ${field.label}</option>
          ${field.options.map(option => 
            `<option value="${option.value}">${option.label}</option>`
          ).join('\n          ')}
        </select>
      </div>`;
      
      case 'textarea':
        return `<div className="form-field">
        <label htmlFor="${field.name}">${field.label}</label>
        <textarea
          id="${field.name}"
          name="${field.name}"
          value={formData.${field.name}}
          onChange={handleInputChange}
          required={${field.required}}
          placeholder="${field.placeholder || ''}"
          rows={${field.rows || 4}}
        />
      </div>`;
      
      default:
        return `<div className="form-field">
        <label htmlFor="${field.name}">${field.label}</label>
        <input
          type="text"
          id="${field.name}"
          name="${field.name}"
          value={formData.${field.name}}
          onChange={handleInputChange}
          required={${field.required}}
        />
      </div>`;
    }
  }

  async optimizeComponent(code, analysis) {
    const optimizations = await this.identifyOptimizations(code, analysis);
    let optimizedCode = code;
    
    for (const optimization of optimizations) {
      optimizedCode = await this.applyOptimization(optimizedCode, optimization);
    }
    
    return optimizedCode;
  }

  async identifyOptimizations(code, analysis) {
    const features = this.extractOptimizationFeatures(code, analysis);
    const predictions = await this.optimizationModel.predict(features);
    const predictionData = predictions.dataSync();
    
    const optimizations = [];
    
    // 性能优化
    if (predictionData[0] > 0.7) {
      optimizations.push({
        type: 'performance',
        technique: 'memoization',
        description: 'Add React.memo or useMemo for expensive calculations'
      });
    }
    
    // 可访问性优化
    if (predictionData[1] > 0.6) {
      optimizations.push({
        type: 'accessibility',
        technique: 'aria-labels',
        description: 'Add ARIA labels and semantic HTML'
      });
    }
    
    // 代码分割优化
    if (predictionData[2] > 0.8) {
      optimizations.push({
        type: 'code-splitting',
        technique: 'lazy-loading',
        description: 'Implement lazy loading for heavy components'
      });
    }
    
    return optimizations;
  }

  async generateTests(code, analysis) {
    const testCases = [];
    
    // 渲染测试
    testCases.push(this.generateRenderTest(analysis));
    
    // Props测试
    if (analysis.props.length > 0) {
      testCases.push(...this.generatePropsTests(analysis));
    }
    
    // 事件测试
    if (analysis.events.length > 0) {
      testCases.push(...this.generateEventTests(analysis));
    }
    
    // 状态测试
    if (analysis.state.length > 0) {
      testCases.push(...this.generateStateTests(analysis));
    }
    
    return this.formatTestSuite(testCases, analysis);
  }

  generateRenderTest(analysis) {
    return {
      name: 'renders without crashing',
      code: `
it('renders without crashing', () => {
  const props = ${this.generateMinimalProps(analysis)};
  render(<${analysis.componentName} {...props} />);
});`
    };
  }

  generatePropsTests(analysis) {
    return analysis.props.map(prop => ({
      name: `handles ${prop.name} prop correctly`,
      code: `
it('handles ${prop.name} prop correctly', () => {
  const props = {
    ...${this.generateMinimalProps(analysis)},
    ${prop.name}: ${this.generateTestValue(prop.type)}
  };
  
  const { ${this.getTestSelector(prop)} } = render(<${analysis.componentName} {...props} />);
  ${this.generatePropAssertion(prop)}
});`
    }));
  }
}

三、智能状态管理与数据流

3.1 AI驱动的状态优化

// 智能状态管理器
class IntelligentStateManager {
  constructor() {
    this.stateModel = null;
    this.optimizationModel = null;
    this.stateGraph = new Map();
    this.performanceMetrics = new Map();
  }

  async initialize() {
    this.stateModel = await tf.loadLayersModel('/models/state-optimization.json');
    this.optimizationModel = await tf.loadLayersModel('/models/state-performance.json');
  }

  async analyzeStateUsage(application) {
    const stateAnalysis = await this.extractStateInformation(application);
    const usagePatterns = await this.analyzeUsagePatterns(stateAnalysis);
    const performanceImpact = await this.analyzePerformanceImpact(stateAnalysis);
    
    const optimizations = await this.generateOptimizations({
      state: stateAnalysis,
      patterns: usagePatterns,
      performance: performanceImpact
    });
    
    return {
      currentState: stateAnalysis,
      usagePatterns,
      performanceImpact,
      optimizations,
      recommendations: await this.generateRecommendations(optimizations)
    };
  }

  async extractStateInformation(application) {
    const stateInfo = {
      globalState: new Map(),
      localState: new Map(),
      derivedState: new Map(),
      stateUpdates: [],
      stateReads: [],
      stateFlow: new Map()
    };

    for (const component of application.components) {
      // 分析组件状态
      const componentState = this.analyzeComponentState(component);
      
      if (componentState.hasLocalState) {
        stateInfo.localState.set(component.name, componentState.localState);
      }
      
      // 分析状态更新
      const updates = this.extractStateUpdates(component);
      stateInfo.stateUpdates.push(...updates);
      
      // 分析状态读取
      const reads = this.extractStateReads(component);
      stateInfo.stateReads.push(...reads);
    }

    // 分析全局状态
    if (application.store) {
      stateInfo.globalState = this.analyzeGlobalState(application.store);
    }

    // 构建状态流图
    stateInfo.stateFlow = this.buildStateFlowGraph(stateInfo);

    return stateInfo;
  }

  async analyzeUsagePatterns(stateAnalysis) {
    const patterns = {
      hotPaths: [],
      coldState: [],
      frequentUpdates: [],
      cascadingUpdates: [],
      stateLeaks: []
    };

    // 分析热点路径
    patterns.hotPaths = this.identifyHotPaths(stateAnalysis.stateFlow);
    
    // 识别冷状态
    patterns.coldState = this.identifyColdState(stateAnalysis);
    
    // 分析频繁更新
    patterns.frequentUpdates = this.analyzeUpdateFrequency(stateAnalysis.stateUpdates);
    
    // 检测级联更新
    patterns.cascadingUpdates = this.detectCascadingUpdates(stateAnalysis);
    
    // 检测状态泄漏
    patterns.stateLeaks = this.detectStateLeaks(stateAnalysis);

    return patterns;
  }

  async generateOptimizations(context) {
    const features = this.extractOptimizationFeatures(context);
    const predictions = await this.stateModel.predict(features);
    const predictionData = predictions.dataSync();

    const optimizations = [];

    // 状态规范化
    if (predictionData[0] > 0.7) {
      optimizations.push({
        type: 'normalization',
        priority: 'high',
        description: 'Normalize nested state structure',
        implementation: this.generateNormalizationPlan(context)
      });
    }

    // 状态分割
    if (predictionData[1] > 0.6) {
      optimizations.push({
        type: 'state-splitting',
        priority: 'medium',
        description: 'Split large state objects',
        implementation: this.generateSplittingPlan(context)
      });
    }

    // 缓存优化
    if (predictionData[2] > 0.8) {
      optimizations.push({
        type: 'caching',
        priority: 'high',
        description: 'Implement intelligent caching',
        implementation: this.generateCachingPlan(context)
      });
    }

    // 懒加载
    if (predictionData[3] > 0.5) {
      optimizations.push({
        type: 'lazy-loading',
        priority: 'medium',
        description: 'Implement lazy state loading',
        implementation: this.generateLazyLoadingPlan(context)
      });
    }

    return optimizations;
  }

  generateNormalizationPlan(context) {
    const nestedStates = this.identifyNestedStates(context.state);
    
    return {
      strategy: 'Entity Normalization',
      steps: [
        {
          phase: 'Analysis',
          description: 'Identify entities and relationships',
          entities: nestedStates.map(state => ({
            name: state.name,
            structure: state.structure,
            relationships: state.relationships
          }))
        },
        {
          phase: 'Schema Design',
          description: 'Design normalized schema',
          schema: this.generateNormalizedSchema(nestedStates)
        },
        {
          phase: 'Migration',
          description: 'Migrate existing state',
          migrationCode: this.generateMigrationCode(nestedStates)
        }
      ],
      benefits: [
        'Reduced data duplication',
        'Improved update performance',
        'Easier state management',
        'Better cache efficiency'
      ]
    };
  }

  generateNormalizedSchema(nestedStates) {
    const schema = {
      entities: {},
      relationships: {}
    };

    for (const state of nestedStates) {
      // 提取实体
      const entity = {
        name: state.entityName,
        fields: state.fields,
        primaryKey: state.primaryKey || 'id'
      };
      
      schema.entities[entity.name] = entity;
      
      // 提取关系
      for (const rel of state.relationships) {
        schema.relationships[`${entity.name}_${rel.target}`] = {
          type: rel.type, // 'one-to-one', 'one-to-many', 'many-to-many'
          source: entity.name,
          target: rel.target,
          foreignKey: rel.foreignKey
        };
      }
    }

    return schema;
  }

  generateCachingPlan(context) {
    const cachingStrategies = this.analyzeCachingOpportunities(context);
    
    return {
      strategy: 'Multi-Level Caching',
      levels: [
        {
          name: 'Memory Cache',
          description: 'In-memory caching for frequently accessed data',
          implementation: this.generateMemoryCacheCode(),
          targets: cachingStrategies.memoryTargets
        },
        {
          name: 'Browser Cache',
          description: 'Browser storage for persistent data',
          implementation: this.generateBrowserCacheCode(),
          targets: cachingStrategies.browserTargets
        },
        {
          name: 'Query Cache',
          description: 'Cache for API query results',
          implementation: this.generateQueryCacheCode(),
          targets: cachingStrategies.queryTargets
        }
      ],
      invalidationStrategy: this.generateInvalidationStrategy(context)
    };
  }

  generateMemoryCacheCode() {
    return `
// 智能内存缓存实现
class IntelligentMemoryCache {
  constructor(maxSize = 100, ttl = 300000) { // 5分钟TTL
    this.cache = new Map();
    this.accessTimes = new Map();
    this.maxSize = maxSize;
    this.ttl = ttl;
  }

  get(key) {
    const item = this.cache.get(key);
    if (!item) return null;
    
    // 检查过期
    if (Date.now() - item.timestamp > this.ttl) {
      this.delete(key);
      return null;
    }
    
    // 更新访问时间
    this.accessTimes.set(key, Date.now());
    return item.value;
  }

  set(key, value) {
    // 检查容量
    if (this.cache.size >= this.maxSize) {
      this.evictLRU();
    }
    
    this.cache.set(key, {
      value,
      timestamp: Date.now()
    });
    this.accessTimes.set(key, Date.now());
  }

  evictLRU() {
    let oldestKey = null;
    let oldestTime = Date.now();
    
    for (const [key, time] of this.accessTimes) {
      if (time < oldestTime) {
        oldestTime = time;
        oldestKey = key;
      }
    }
    
    if (oldestKey) {
      this.delete(oldestKey);
    }
  }

  delete(key) {
    this.cache.delete(key);
    this.accessTimes.delete(key);
  }
}
`;
  }
}

// 智能数据流分析器
class IntelligentDataFlowAnalyzer {
  constructor() {
    this.flowModel = null;
    this.dataGraph = new Map();
    this.flowMetrics = new Map();
  }

  async initialize() {
    this.flowModel = await tf.loadLayersModel('/models/data-flow-analysis.json');
  }

  async analyzeDataFlow(application) {
    const flowAnalysis = await this.extractDataFlowInformation(application);
    const bottlenecks = await this.identifyBottlenecks(flowAnalysis);
    const optimizations = await this.generateFlowOptimizations(flowAnalysis, bottlenecks);
    
    return {
      flowGraph: flowAnalysis.graph,
      metrics: flowAnalysis.metrics,
      bottlenecks,
      optimizations,
      recommendations: await this.generateFlowRecommendations(optimizations)
    };
  }

  async extractDataFlowInformation(application) {
    const flowInfo = {
      graph: new Map(),
      metrics: {
        totalNodes: 0,
        totalEdges: 0,
        avgPathLength: 0,
        maxDepth: 0,
        cyclicDependencies: []
      },
      dataTransformations: [],
      apiCalls: [],
      stateUpdates: []
    };

    // 构建数据流图
    for (const component of application.components) {
      const node = {
        id: component.name,
        type: 'component',
        inputs: this.extractInputs(component),
        outputs: this.extractOutputs(component),
        transformations: this.extractTransformations(component)
      };
      
      flowInfo.graph.set(component.name, node);
      flowInfo.totalNodes++;
    }

    // 添加API节点
    for (const api of application.apis) {
      const node = {
        id: api.name,
        type: 'api',
        inputs: api.parameters,
        outputs: api.responses,
        latency: api.averageLatency
      };
      
      flowInfo.graph.set(api.name, node);
      flowInfo.totalNodes++;
    }

    // 分析连接
    this.analyzeConnections(flowInfo);
    
    return flowInfo;
  }

  async identifyBottlenecks(flowAnalysis) {
    const bottlenecks = [];
    
    // 分析性能瓶颈
    for (const [nodeId, node] of flowAnalysis.graph) {
      const metrics = this.calculateNodeMetrics(node, flowAnalysis);
      
      if (metrics.processingTime > 100) { // 100ms阈值
        bottlenecks.push({
          type: 'performance',
          node: nodeId,
          severity: this.calculateSeverity(metrics.processingTime),
          metrics,
          suggestions: this.generatePerformanceSuggestions(node, metrics)
        });
      }
      
      if (metrics.memoryUsage > 50 * 1024 * 1024) { // 50MB阈值
        bottlenecks.push({
          type: 'memory',
          node: nodeId,
          severity: this.calculateSeverity(metrics.memoryUsage / (1024 * 1024)),
          metrics,
          suggestions: this.generateMemorySuggestions(node, metrics)
        });
      }
    }
    
    return bottlenecks.sort((a, b) => b.severity - a.severity);
  }
}

四、微前端架构的AI增强

4.1 智能微前端编排

// 智能微前端管理器
class IntelligentMicroFrontendOrchestrator {
  constructor() {
    this.orchestrationModel = null;
    this.loadBalancer = new IntelligentLoadBalancer();
    this.dependencyResolver = new DependencyResolver();
    this.performanceMonitor = new PerformanceMonitor();
  }

  async initialize() {
    this.orchestrationModel = await tf.loadLayersModel('/models/microfrontend-orchestration.json');
  }

  async orchestrateMicroFrontends(configuration) {
    const analysis = await this.analyzeConfiguration(configuration);
    const loadingStrategy = await this.optimizeLoadingStrategy(analysis);
    const routingPlan = await this.generateRoutingPlan(analysis);
    const communicationPlan = await this.designCommunicationPlan(analysis);
    
    return {
      loadingStrategy,
      routingPlan,
      communicationPlan,
      monitoring: await this.setupMonitoring(analysis),
      fallbackStrategies: await this.generateFallbackStrategies(analysis)
    };
  }

  async optimizeLoadingStrategy(analysis) {
    const features = this.extractLoadingFeatures(analysis);
    const predictions = await this.orchestrationModel.predict(features);
    const predictionData = predictions.dataSync();
    
    return {
      strategy: this.selectLoadingStrategy(predictionData[0]),
      preloadTargets: this.identifyPreloadTargets(analysis, predictionData[1]),
      lazyLoadTargets: this.identifyLazyLoadTargets(analysis, predictionData[2]),
      bundleSharing: this.optimizeBundleSharing(analysis, predictionData[3])
    };
  }

  selectLoadingStrategy(strategyScore) {
    if (strategyScore > 0.8) {
      return {
        type: 'progressive',
        description: 'Progressive loading with intelligent prefetching',
        implementation: this.generateProgressiveLoadingCode()
      };
    } else if (strategyScore > 0.6) {
      return {
        type: 'on-demand',
        description: 'On-demand loading with caching',
        implementation: this.generateOnDemandLoadingCode()
      };
    } else {
      return {
        type: 'eager',
        description: 'Eager loading for critical micro-frontends',
        implementation: this.generateEagerLoadingCode()
      };
    }
  }
}