Files
users/lib/mindsdb-connector.ts
v0 f0a6a364f2 feat: sync Sidebar and BottomNav, standardize user profile API
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>
2025-08-08 07:00:12 +00:00

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// 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<string, any>
useCache?: boolean
}
export interface SearchRequest {
keyword: string
type: "user" | "traffic" | "all"
filters?: Record<string, any>
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<string, any> = new Map()
constructor(private config: MindsDBConfig) {}
// 连接到MindsDB模拟
async connect(): Promise<void> {
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<void> {
if (this.connected) {
this.connected = false
}
}
// AI增强查询模拟
async aiQuery(request: AIQueryRequest): Promise<any> {
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: `"${request.query}"的趋势分析`,
confidence: 0.8,
},
],
intent: this.analyzeIntent(request.query),
filters: this.generateFilters(request.query),
}
// 缓存结果
if (request.useCache) {
this.cache.set(cacheKey, result)
}
return result
} catch (error) {
console.error("AI查询失败:", error)
throw error
}
}
// 智能搜索(模拟)
async intelligentSearch(request: SearchRequest): Promise<any> {
if (!this.connected) {
await this.connect()
}
const cacheKey = `search_${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<string, any>): 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<string, any> {
const filters: Record<string, any> = {}
const lowerQuery = query.toLowerCase()
if (lowerQuery.includes("高价值")) {
filters.rfm_score = { $gte: 80 }
}
if (lowerQuery.includes("最近")) {
filters.last_active = { $gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) }
}
return filters
}
// 用户数据分析(模拟)
async analyzeUserBehavior(userId: string): Promise<any> {
if (!this.connected) {
await this.connect()
}
try {
return {
prediction: "高价值用户",
confidence: 0.85,
explanation: `用户${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<any> {
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<VersionInfo> {
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<VersionInfo[]> {
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<any> {
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<void> {
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<any> {
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
}