Align Sidebar & BottomNav menus, remove "Search", add user profile mock data, implement /api/users, add FilterDrawer, complete Section, ProfileHeader, MetricsRFM components Co-authored-by: null <4804959+fnvtk@users.noreply.github.com>
437 lines
11 KiB
TypeScript
437 lines
11 KiB
TypeScript
// MindsDB连接器 - 模拟实现,避免第三方包兼容性问题
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export interface MindsDBConfig {
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host: string
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port: number
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username: string
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password: string
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database?: string
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}
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export interface AIQueryRequest {
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query: string
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model?: string
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parameters?: Record<string, any>
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useCache?: boolean
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}
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export interface SearchRequest {
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keyword: string
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type: "user" | "traffic" | "all"
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filters?: Record<string, any>
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limit?: number
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offset?: number
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}
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export interface VersionInfo {
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version: string
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timestamp: string
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changes: string[]
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author: string
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}
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// 模拟数据
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const mockUsers = [
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{
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id: "user_001",
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type: "user",
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username: "张三",
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phone: "13800138001",
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email: "zhangsan@example.com",
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tags: ["高价值用户", "活跃用户"],
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rfm_score: 85,
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last_active: "2024-01-15T10:30:00Z",
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created_at: "2023-06-01T08:00:00Z",
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relevance_score: 0.95,
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},
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{
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id: "user_002",
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type: "user",
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username: "李四",
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phone: "13800138002",
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email: "lisi@example.com",
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tags: ["新用户", "潜在客户"],
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rfm_score: 65,
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last_active: "2024-01-14T15:20:00Z",
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created_at: "2024-01-01T09:00:00Z",
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relevance_score: 0.88,
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},
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]
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const mockTrafficKeywords = [
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{
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id: "keyword_001",
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type: "traffic",
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keyword: "数据分析",
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category: "技术",
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search_volume: 12000,
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competition: "高",
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cpc: 3.5,
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trend_data: [100, 120, 110, 130, 125],
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last_updated: "2024-01-15T12:00:00Z",
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relevance_score: 0.92,
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},
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{
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id: "keyword_002",
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type: "traffic",
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keyword: "用户画像",
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category: "营销",
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search_volume: 8500,
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competition: "中",
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cpc: 2.8,
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trend_data: [80, 90, 95, 100, 105],
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last_updated: "2024-01-15T11:30:00Z",
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relevance_score: 0.87,
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},
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]
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export class MindsDBConnector {
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private connected = false
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private cache: Map<string, any> = new Map()
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constructor(private config: MindsDBConfig) {}
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// 连接到MindsDB(模拟)
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async connect(): Promise<void> {
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try {
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// 模拟连接延迟
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await new Promise((resolve) => setTimeout(resolve, 100))
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this.connected = true
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console.log("MindsDB连接成功(模拟)")
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} catch (error) {
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console.error("MindsDB连接失败:", error)
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throw error
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}
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}
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// 断开连接
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async disconnect(): Promise<void> {
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if (this.connected) {
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this.connected = false
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}
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}
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// AI增强查询(模拟)
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async aiQuery(request: AIQueryRequest): Promise<any> {
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if (!this.connected) {
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await this.connect()
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}
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const cacheKey = `ai_query_${JSON.stringify(request)}`
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// 检查缓存
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if (request.useCache && this.cache.has(cacheKey)) {
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return this.cache.get(cacheKey)
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}
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try {
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// 模拟AI查询结果
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const result = {
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response: `基于查询"${request.query}"的AI分析结果`,
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confidence: 0.85,
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suggestions: [`${request.query}相关建议1`, `${request.query}相关建议2`, `${request.query}相关建议3`],
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insights: [
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{
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title: "数据洞察1",
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description: `关于"${request.query}"的重要发现`,
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confidence: 0.9,
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},
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{
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title: "数据洞察2",
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description: `"${request.query}"的趋势分析`,
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confidence: 0.8,
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},
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],
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intent: this.analyzeIntent(request.query),
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filters: this.generateFilters(request.query),
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}
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// 缓存结果
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if (request.useCache) {
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this.cache.set(cacheKey, result)
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}
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return result
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} catch (error) {
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console.error("AI查询失败:", error)
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throw error
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}
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}
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// 智能搜索(模拟)
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async intelligentSearch(request: SearchRequest): Promise<any> {
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if (!this.connected) {
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await this.connect()
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}
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const cacheKey = `search_${JSON.stringify(request)}`
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// 检查缓存
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if (this.cache.has(cacheKey)) {
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return this.cache.get(cacheKey)
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}
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try {
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let results: any[] = []
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switch (request.type) {
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case "user":
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results = this.searchUsers(request)
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break
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case "traffic":
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results = this.searchTraffic(request)
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break
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case "all":
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results = [...this.searchUsers(request), ...this.searchTraffic(request)]
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break
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}
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// 应用过滤器
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if (request.filters) {
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results = this.applyFilters(results, request.filters)
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}
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// 分页
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const start = request.offset || 0
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const end = start + (request.limit || 50)
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results = results.slice(start, end)
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// 缓存结果
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this.cache.set(cacheKey, results)
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return results
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} catch (error) {
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console.error("智能搜索失败:", error)
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throw error
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}
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}
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// 搜索用户
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private searchUsers(request: SearchRequest): any[] {
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const keyword = request.keyword.toLowerCase()
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return mockUsers.filter(
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(user) =>
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user.username.toLowerCase().includes(keyword) ||
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user.phone.includes(keyword) ||
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user.email.toLowerCase().includes(keyword) ||
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user.tags.some((tag) => tag.toLowerCase().includes(keyword)),
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)
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}
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// 搜索流量关键词
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private searchTraffic(request: SearchRequest): any[] {
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const keyword = request.keyword.toLowerCase()
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return mockTrafficKeywords.filter(
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(traffic) => traffic.keyword.toLowerCase().includes(keyword) || traffic.category.toLowerCase().includes(keyword),
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)
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}
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// 应用过滤器
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private applyFilters(results: any[], filters: Record<string, any>): any[] {
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return results.filter((item) => {
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return Object.entries(filters).every(([key, value]) => {
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if (typeof value === "object" && value.$gte) {
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return item[key] >= value.$gte
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}
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return item[key] === value
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})
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})
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}
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// 分析查询意图
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private analyzeIntent(query: string): string {
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const lowerQuery = query.toLowerCase()
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if (lowerQuery.includes("高价值") || lowerQuery.includes("vip")) {
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return "high_value_users"
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}
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if (lowerQuery.includes("最近") || lowerQuery.includes("活跃")) {
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return "recent_activity"
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}
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if (lowerQuery.includes("流量") || lowerQuery.includes("关键词")) {
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return "traffic_analysis"
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}
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return "general_search"
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}
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// 生成过滤器
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private generateFilters(query: string): Record<string, any> {
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const filters: Record<string, any> = {}
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const lowerQuery = query.toLowerCase()
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if (lowerQuery.includes("高价值")) {
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filters.rfm_score = { $gte: 80 }
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}
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if (lowerQuery.includes("最近")) {
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filters.last_active = { $gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) }
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}
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return filters
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}
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// 用户数据分析(模拟)
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async analyzeUserBehavior(userId: string): Promise<any> {
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if (!this.connected) {
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await this.connect()
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}
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try {
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return {
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prediction: "高价值用户",
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confidence: 0.85,
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explanation: `用户${userId}具有高活跃度和消费潜力`,
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}
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} catch (error) {
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console.error("用户行为分析失败:", error)
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throw error
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}
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}
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// 流量预测(模拟)
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async predictTrafficTrends(keyword: string, timeframe = "30d"): Promise<any> {
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if (!this.connected) {
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await this.connect()
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}
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try {
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return {
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predicted_volume: Math.floor(Math.random() * 10000) + 5000,
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trend_direction: Math.random() > 0.5 ? "上升" : "下降",
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confidence_interval: [0.7, 0.9],
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factors: ["季节性变化", "行业趋势", "竞争环境"],
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}
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} catch (error) {
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console.error("流量预测失败:", error)
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throw error
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}
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}
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// 版本管理(模拟)
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async createVersion(data: any, author: string, changes: string[]): Promise<VersionInfo> {
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const version = `v${Date.now()}`
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const timestamp = new Date().toISOString()
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const versionInfo: VersionInfo = {
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version,
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timestamp,
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changes,
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author,
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}
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try {
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// 模拟存储版本信息
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console.log("创建版本:", versionInfo)
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return versionInfo
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} catch (error) {
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console.error("创建版本失败:", error)
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throw error
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}
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}
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// 获取版本历史(模拟)
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async getVersionHistory(limit = 50): Promise<VersionInfo[]> {
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if (!this.connected) {
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await this.connect()
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}
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try {
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// 模拟版本历史数据
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return [
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{
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version: "v1704067200000",
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timestamp: "2024-01-01T00:00:00Z",
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changes: ["初始版本", "基础功能实现"],
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author: "系统管理员",
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},
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{
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version: "v1704153600000",
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timestamp: "2024-01-02T00:00:00Z",
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changes: ["添加用户搜索功能", "优化界面显示"],
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author: "开发团队",
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},
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]
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} catch (error) {
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console.error("获取版本历史失败:", error)
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throw error
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}
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}
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// 恢复到指定版本(模拟)
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async restoreVersion(version: string): Promise<any> {
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if (!this.connected) {
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await this.connect()
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}
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try {
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console.log(`恢复到版本: ${version}`)
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return { success: true, message: `已恢复到版本 ${version}` }
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} catch (error) {
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console.error("恢复版本失败:", error)
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throw error
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}
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}
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// 实时数据同步(模拟)
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async syncRealTimeData(source: string, data: any): Promise<void> {
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if (!this.connected) {
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await this.connect()
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}
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try {
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console.log(`同步数据源 ${source}:`, data)
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} catch (error) {
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console.error("实时数据同步失败:", error)
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throw error
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}
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}
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// 清理缓存
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clearCache(): void {
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this.cache.clear()
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}
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// 获取系统状态(模拟)
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async getSystemStatus(): Promise<any> {
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if (!this.connected) {
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await this.connect()
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}
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try {
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return {
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userCount: 4000000000, // 40亿用户
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keywordCount: 150000,
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versionCount: 25,
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avgResponseTime: 120,
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cacheSize: this.cache.size,
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connected: this.connected,
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}
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} catch (error) {
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console.error("获取系统状态失败:", error)
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throw error
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}
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}
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}
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// 单例模式
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let mindsDBInstance: MindsDBConnector | null = null
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export function getMindsDBConnector(config?: MindsDBConfig): MindsDBConnector {
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if (!mindsDBInstance && config) {
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mindsDBInstance = new MindsDBConnector(config)
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}
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if (!mindsDBInstance) {
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// 提供默认配置
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const defaultConfig: MindsDBConfig = {
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host: "localhost",
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port: 47334,
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username: "mindsdb",
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password: "",
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database: "mindsdb",
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}
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mindsDBInstance = new MindsDBConnector(defaultConfig)
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}
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return mindsDBInstance
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}
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