// MindsDB连接器 - 模拟实现,避免第三方包兼容性问题 export interface MindsDBConfig { host: string port: number username: string password: string database?: string } export interface AIQueryRequest { query: string model?: string parameters?: Record useCache?: boolean } export interface SearchRequest { keyword: string type: "user" | "traffic" | "all" filters?: Record limit?: number offset?: number } export interface VersionInfo { version: string timestamp: string changes: string[] author: string } // 模拟数据 const mockUsers = [ { id: "user_001", type: "user", username: "张三", phone: "13800138001", email: "zhangsan@example.com", tags: ["高价值用户", "活跃用户"], rfm_score: 85, last_active: "2024-01-15T10:30:00Z", created_at: "2023-06-01T08:00:00Z", relevance_score: 0.95, }, { id: "user_002", type: "user", username: "李四", phone: "13800138002", email: "lisi@example.com", tags: ["新用户", "潜在客户"], rfm_score: 65, last_active: "2024-01-14T15:20:00Z", created_at: "2024-01-01T09:00:00Z", relevance_score: 0.88, }, ] const mockTrafficKeywords = [ { id: "keyword_001", type: "traffic", keyword: "数据分析", category: "技术", search_volume: 12000, competition: "高", cpc: 3.5, trend_data: [100, 120, 110, 130, 125], last_updated: "2024-01-15T12:00:00Z", relevance_score: 0.92, }, { id: "keyword_002", type: "traffic", keyword: "用户画像", category: "营销", search_volume: 8500, competition: "中", cpc: 2.8, trend_data: [80, 90, 95, 100, 105], last_updated: "2024-01-15T11:30:00Z", relevance_score: 0.87, }, ] export class MindsDBConnector { private connected = false private cache: Map = new Map() constructor(private config: MindsDBConfig) {} // 连接到MindsDB(模拟) async connect(): Promise { try { // 模拟连接延迟 await new Promise((resolve) => setTimeout(resolve, 100)) this.connected = true console.log("MindsDB连接成功(模拟)") } catch (error) { console.error("MindsDB连接失败:", error) throw error } } // 断开连接 async disconnect(): Promise { if (this.connected) { this.connected = false } } // AI增强查询(模拟) async aiQuery(request: AIQueryRequest): Promise { if (!this.connected) { await this.connect() } const cacheKey = `ai_query_${JSON.stringify(request)}` // 检查缓存 if (request.useCache && this.cache.has(cacheKey)) { return this.cache.get(cacheKey) } try { // 模拟AI查询结果 const result = { response: `基于查询"${request.query}"的AI分析结果`, confidence: 0.85, suggestions: [`${request.query}相关建议1`, `${request.query}相关建议2`, `${request.query}相关建议3`], insights: [ { title: "数据洞察1", description: `关于"${request.query}"的重要发现`, confidence: 0.9, }, { title: "数据洞察2", description: `"${request.query}"的趋势分析`, confidence: 0.8, }, ], intent: this.analyzeIntent(request.query), filters: this.generateFilters(request.query), } // 缓存结果 if (request.useCache) { this.cache.set(cacheKey, result) } return result } catch (error) { console.error("AI查询失败:", error) throw error } } // 智能搜索(模拟) async intelligentSearch(request: SearchRequest): Promise { if (!this.connected) { await this.connect() } const cacheKey = `search_${JSON.stringify(request)}` // 检查缓存 if (this.cache.has(cacheKey)) { return this.cache.get(cacheKey) } try { let results: any[] = [] switch (request.type) { case "user": results = this.searchUsers(request) break case "traffic": results = this.searchTraffic(request) break case "all": results = [...this.searchUsers(request), ...this.searchTraffic(request)] break } // 应用过滤器 if (request.filters) { results = this.applyFilters(results, request.filters) } // 分页 const start = request.offset || 0 const end = start + (request.limit || 50) results = results.slice(start, end) // 缓存结果 this.cache.set(cacheKey, results) return results } catch (error) { console.error("智能搜索失败:", error) throw error } } // 搜索用户 private searchUsers(request: SearchRequest): any[] { const keyword = request.keyword.toLowerCase() return mockUsers.filter( (user) => user.username.toLowerCase().includes(keyword) || user.phone.includes(keyword) || user.email.toLowerCase().includes(keyword) || user.tags.some((tag) => tag.toLowerCase().includes(keyword)), ) } // 搜索流量关键词 private searchTraffic(request: SearchRequest): any[] { const keyword = request.keyword.toLowerCase() return mockTrafficKeywords.filter( (traffic) => traffic.keyword.toLowerCase().includes(keyword) || traffic.category.toLowerCase().includes(keyword), ) } // 应用过滤器 private applyFilters(results: any[], filters: Record): any[] { return results.filter((item) => { return Object.entries(filters).every(([key, value]) => { if (typeof value === "object" && value.$gte) { return item[key] >= value.$gte } return item[key] === value }) }) } // 分析查询意图 private analyzeIntent(query: string): string { const lowerQuery = query.toLowerCase() if (lowerQuery.includes("高价值") || lowerQuery.includes("vip")) { return "high_value_users" } if (lowerQuery.includes("最近") || lowerQuery.includes("活跃")) { return "recent_activity" } if (lowerQuery.includes("流量") || lowerQuery.includes("关键词")) { return "traffic_analysis" } return "general_search" } // 生成过滤器 private generateFilters(query: string): Record { const filters: Record = {} const lowerQuery = query.toLowerCase() if (lowerQuery.includes("高价值")) { filters.rfm_score = { $gte: 80 } } if (lowerQuery.includes("最近")) { filters.last_active = { $gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) } } return filters } // 用户数据分析(模拟) async analyzeUserBehavior(userId: string): Promise { if (!this.connected) { await this.connect() } try { return { prediction: "高价值用户", confidence: 0.85, explanation: `用户${userId}具有高活跃度和消费潜力`, } } catch (error) { console.error("用户行为分析失败:", error) throw error } } // 流量预测(模拟) async predictTrafficTrends(keyword: string, timeframe = "30d"): Promise { if (!this.connected) { await this.connect() } try { return { predicted_volume: Math.floor(Math.random() * 10000) + 5000, trend_direction: Math.random() > 0.5 ? "上升" : "下降", confidence_interval: [0.7, 0.9], factors: ["季节性变化", "行业趋势", "竞争环境"], } } catch (error) { console.error("流量预测失败:", error) throw error } } // 版本管理(模拟) async createVersion(data: any, author: string, changes: string[]): Promise { const version = `v${Date.now()}` const timestamp = new Date().toISOString() const versionInfo: VersionInfo = { version, timestamp, changes, author, } try { // 模拟存储版本信息 console.log("创建版本:", versionInfo) return versionInfo } catch (error) { console.error("创建版本失败:", error) throw error } } // 获取版本历史(模拟) async getVersionHistory(limit = 50): Promise { if (!this.connected) { await this.connect() } try { // 模拟版本历史数据 return [ { version: "v1704067200000", timestamp: "2024-01-01T00:00:00Z", changes: ["初始版本", "基础功能实现"], author: "系统管理员", }, { version: "v1704153600000", timestamp: "2024-01-02T00:00:00Z", changes: ["添加用户搜索功能", "优化界面显示"], author: "开发团队", }, ] } catch (error) { console.error("获取版本历史失败:", error) throw error } } // 恢复到指定版本(模拟) async restoreVersion(version: string): Promise { if (!this.connected) { await this.connect() } try { console.log(`恢复到版本: ${version}`) return { success: true, message: `已恢复到版本 ${version}` } } catch (error) { console.error("恢复版本失败:", error) throw error } } // 实时数据同步(模拟) async syncRealTimeData(source: string, data: any): Promise { if (!this.connected) { await this.connect() } try { console.log(`同步数据源 ${source}:`, data) } catch (error) { console.error("实时数据同步失败:", error) throw error } } // 清理缓存 clearCache(): void { this.cache.clear() } // 获取系统状态(模拟) async getSystemStatus(): Promise { if (!this.connected) { await this.connect() } try { return { userCount: 4000000000, // 40亿用户 keywordCount: 150000, versionCount: 25, avgResponseTime: 120, cacheSize: this.cache.size, connected: this.connected, } } catch (error) { console.error("获取系统状态失败:", error) throw error } } } // 单例模式 let mindsDBInstance: MindsDBConnector | null = null export function getMindsDBConnector(config?: MindsDBConfig): MindsDBConnector { if (!mindsDBInstance && config) { mindsDBInstance = new MindsDBConnector(config) } if (!mindsDBInstance) { // 提供默认配置 const defaultConfig: MindsDBConfig = { host: "localhost", port: 47334, username: "mindsdb", password: "", database: "mindsdb", } mindsDBInstance = new MindsDBConnector(defaultConfig) } return mindsDBInstance }