// MindsDB连接器 - 实现AI增强的数据查询和分析
import { Client } from "mindsdb-js-sdk"

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
}

export class MindsDBConnector {
  private client: Client
  private connected = false
  private cache: Map<string, any> = new Map()

  constructor(private config: MindsDBConfig) {
    this.client = new Client({
      host: config.host,
      port: config.port,
      username: config.username,
      password: config.password,
    })
  }

  // 连接到MindsDB
  async connect(): Promise<void> {
    try {
      await this.client.connect()
      this.connected = true
      console.log("MindsDB连接成功")
    } catch (error) {
      console.error("MindsDB连接失败:", error)
      throw error
    }
  }

  // 断开连接
  async disconnect(): Promise<void> {
    if (this.connected) {
      await this.client.disconnect()
      this.connected = false
    }
  }

  // AI增强查询 - 使用自然语言查询数据
  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 {
      // 使用MindsDB的AI模型进行查询
      const query = `
        SELECT * FROM mindsdb.${request.model || "gpt4"} 
        WHERE text = '${request.query}'
      `

      const result = await this.client.query(query)

      // 缓存结果
      if (request.useCache) {
        this.cache.set(cacheKey, result, 300000) // 5分钟缓存
      }

      return result
    } catch (error) {
      console.error("AI查询失败:", error)
      throw error
    }
  }

  // 智能搜索 - 支持用户数据和流量关键词的快速搜索
  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 searchQuery = ""

      switch (request.type) {
        case "user":
          searchQuery = this.buildUserSearchQuery(request)
          break
        case "traffic":
          searchQuery = this.buildTrafficSearchQuery(request)
          break
        case "all":
          searchQuery = this.buildUnifiedSearchQuery(request)
          break
      }

      const result = await this.client.query(searchQuery)

      // 缓存结果
      this.cache.set(cacheKey, result, 60000) // 1分钟缓存

      return result
    } catch (error) {
      console.error("智能搜索失败:", error)
      throw error
    }
  }

  // 构建用户搜索查询
  private buildUserSearchQuery(request: SearchRequest): string {
    const { keyword, filters, limit = 100, offset = 0 } = request

    let query = `
      SELECT 
        u.user_id,
        u.username,
        u.phone,
        u.email,
        u.tags,
        u.rfm_score,
        u.last_active,
        u.created_at,
        MATCH(u.username, u.phone, u.email, u.tags) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE) as relevance_score
      FROM users u
      WHERE MATCH(u.username, u.phone, u.email, u.tags) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE)
    `

    // 添加过滤条件
    if (filters) {
      Object.entries(filters).forEach(([key, value]) => {
        query += ` AND u.${key} = '${value}'`
      })
    }

    query += ` ORDER BY relevance_score DESC, u.last_active DESC`
    query += ` LIMIT ${limit} OFFSET ${offset}`

    return query
  }

  // 构建流量关键词搜索查询
  private buildTrafficSearchQuery(request: SearchRequest): string {
    const { keyword, filters, limit = 100, offset = 0 } = request

    let query = `
      SELECT 
        t.keyword_id,
        t.keyword,
        t.category,
        t.search_volume,
        t.competition,
        t.cpc,
        t.trend_data,
        t.last_updated,
        MATCH(t.keyword, t.category) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE) as relevance_score
      FROM traffic_keywords t
      WHERE MATCH(t.keyword, t.category) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE)
    `

    // 添加过滤条件
    if (filters) {
      Object.entries(filters).forEach(([key, value]) => {
        query += ` AND t.${key} = '${value}'`
      })
    }

    query += ` ORDER BY relevance_score DESC, t.search_volume DESC`
    query += ` LIMIT ${limit} OFFSET ${offset}`

    return query
  }

  // 构建统一搜索查询
  private buildUnifiedSearchQuery(request: SearchRequest): string {
    const { keyword, limit = 100, offset = 0 } = request

    return `
      (
        SELECT 
          'user' as type,
          user_id as id,
          username as title,
          CONCAT(phone, ' | ', email) as description,
          tags,
          last_active as updated_at,
          MATCH(username, phone, email, tags) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE) as relevance_score
        FROM users
        WHERE MATCH(username, phone, email, tags) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE)
      )
      UNION ALL
      (
        SELECT 
          'traffic' as type,
          keyword_id as id,
          keyword as title,
          CONCAT('搜索量: ', search_volume, ' | 竞争度: ', competition) as description,
          category as tags,
          last_updated as updated_at,
          MATCH(keyword, category) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE) as relevance_score
        FROM traffic_keywords
        WHERE MATCH(keyword, category) AGAINST('${keyword}' IN NATURAL LANGUAGE MODE)
      )
      ORDER BY relevance_score DESC
      LIMIT ${limit} OFFSET ${offset}
    `
  }

  // 用户数据分析 - 使用AI进行用户行为分析
  async analyzeUserBehavior(userId: string): Promise<any> {
    if (!this.connected) {
      await this.connect()
    }

    try {
      const query = `
        SELECT 
          prediction,
          confidence,
          explanation
        FROM mindsdb.user_behavior_predictor
        WHERE user_id = '${userId}'
      `

      return await this.client.query(query)
    } catch (error) {
      console.error("用户行为分析失败:", error)
      throw error
    }
  }

  // 流量预测 - 使用AI预测流量趋势
  async predictTrafficTrends(keyword: string, timeframe = "30d"): Promise<any> {
    if (!this.connected) {
      await this.connect()
    }

    try {
      const query = `
        SELECT 
          predicted_volume,
          trend_direction,
          confidence_interval,
          factors
        FROM mindsdb.traffic_predictor
        WHERE keyword = '${keyword}' AND timeframe = '${timeframe}'
      `

      return await this.client.query(query)
    } catch (error) {
      console.error("流量预测失败:", error)
      throw error
    }
  }

  // 版本管理 - 创建数据版本
  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 {
      // 存储版本信息
      const query = `
        INSERT INTO data_versions (version, timestamp, data_snapshot, changes, author)
        VALUES ('${version}', '${timestamp}', '${JSON.stringify(data)}', '${JSON.stringify(changes)}', '${author}')
      `

      await this.client.query(query)
      return versionInfo
    } catch (error) {
      console.error("创建版本失败:", error)
      throw error
    }
  }

  // 获取版本历史
  async getVersionHistory(limit = 50): Promise<VersionInfo[]> {
    if (!this.connected) {
      await this.connect()
    }

    try {
      const query = `
        SELECT version, timestamp, changes, author
        FROM data_versions
        ORDER BY timestamp DESC
        LIMIT ${limit}
      `

      const result = await this.client.query(query)
      return result.rows || []
    } catch (error) {
      console.error("获取版本历史失败:", error)
      throw error
    }
  }

  // 恢复到指定版本
  async restoreVersion(version: string): Promise<any> {
    if (!this.connected) {
      await this.connect()
    }

    try {
      const query = `
        SELECT data_snapshot
        FROM data_versions
        WHERE version = '${version}'
      `

      const result = await this.client.query(query)
      if (result.rows && result.rows.length > 0) {
        return JSON.parse(result.rows[0].data_snapshot)
      }

      throw new Error(`版本 ${version} 不存在`)
    } catch (error) {
      console.error("恢复版本失败:", error)
      throw error
    }
  }

  // 实时数据同步
  async syncRealTimeData(source: string, data: any): Promise<void> {
    if (!this.connected) {
      await this.connect()
    }

    try {
      const query = `
        INSERT INTO real_time_data (source, data, timestamp)
        VALUES ('${source}', '${JSON.stringify(data)}', NOW())
        ON DUPLICATE KEY UPDATE
        data = '${JSON.stringify(data)}',
        timestamp = NOW()
      `

      await this.client.query(query)
    } 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
  async getSystemStatus(): Promise<any> {
    if (!this.connected) {
      await this.connect()
    }

    try {
      const queries = [
        "SELECT COUNT(*) as user_count FROM users",
        "SELECT COUNT(*) as keyword_count FROM traffic_keywords",
        "SELECT COUNT(*) as version_count FROM data_versions",
        "SELECT AVG(response_time) as avg_response_time FROM query_logs WHERE created_at > DATE_SUB(NOW(), INTERVAL 1 HOUR)",
      ]

      const results = await Promise.all(queries.map((query) => this.client.query(query)))

      return {
        userCount: results[0].rows[0].user_count,
        keywordCount: results[1].rows[0].keyword_count,
        versionCount: results[2].rows[0].version_count,
        avgResponseTime: results[3].rows[0].avg_response_time || 0,
        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) {
    throw new Error("MindsDB连接器未初始化，请提供配置信息")
  }

  return mindsDBInstance
}
