// 智能搜索服务 - 实现亚秒级查询和AI增强搜索
import { getMindsDBConnector, type SearchRequest, type AIQueryRequest } from "@/lib/mindsdb-connector"

export interface SearchResult {
  id: string
  type: "user" | "traffic" | "insight"
  title: string
  description: string
  tags: string[]
  relevanceScore: number
  updatedAt: string
  metadata?: Record<string, any>
}

export interface SearchStats {
  totalResults: number
  queryTime: number
  suggestions: string[]
  filters: Record<string, any>
}

export interface SearchResponse {
  results: SearchResult[]
  stats: SearchStats
  hasMore: boolean
}

export class IntelligentSearchService {
  private mindsDB = getMindsDBConnector()
  private searchHistory: string[] = []
  private popularQueries: Map<string, number> = new Map()

  // 智能搜索主入口
  async search(
    query: string,
    type: "user" | "traffic" | "all" = "all",
    options: {
      limit?: number
      offset?: number
      filters?: Record<string, any>
      useAI?: boolean
      includeInsights?: boolean
    } = {},
  ): Promise<SearchResponse> {
    const startTime = Date.now()

    try {
      // 记录搜索历史
      this.addToSearchHistory(query)

      // 如果启用AI增强搜索
      if (options.useAI) {
        return await this.aiEnhancedSearch(query, type, options)
      }

      // 标准搜索
      const searchRequest: SearchRequest = {
        keyword: query,
        type,
        filters: options.filters,
        limit: options.limit || 50,
        offset: options.offset || 0,
      }

      const rawResults = await this.mindsDB.intelligentSearch(searchRequest)
      const results = this.formatSearchResults(rawResults)

      // 如果需要包含AI洞察
      if (options.includeInsights) {
        const insights = await this.generateSearchInsights(query, results)
        results.push(...insights)
      }

      const queryTime = Date.now() - startTime

      return {
        results,
        stats: {
          totalResults: results.length,
          queryTime,
          suggestions: await this.generateSuggestions(query),
          filters: this.extractAvailableFilters(results),
        },
        hasMore: results.length === (options.limit || 50),
      }
    } catch (error) {
      console.error("搜索失败:", error)
      throw error
    }
  }

  // AI增强搜索
  private async aiEnhancedSearch(
    query: string,
    type: "user" | "traffic" | "all",
    options: any,
  ): Promise<SearchResponse> {
    const startTime = Date.now()

    // 使用AI理解查询意图
    const aiRequest: AIQueryRequest = {
      query: `分析这个搜索查询的意图并提供相关的搜索建议: "${query}"`,
      model: "gpt4",
      useCache: true,
    }

    const aiAnalysis = await this.mindsDB.aiQuery(aiRequest)

    // 基于AI分析结果优化搜索参数
    const enhancedSearchRequest: SearchRequest = {
      keyword: query,
      type,
      filters: {
        ...options.filters,
        ...this.extractFiltersFromAI(aiAnalysis),
      },
      limit: options.limit || 50,
      offset: options.offset || 0,
    }

    const rawResults = await this.mindsDB.intelligentSearch(enhancedSearchRequest)
    const results = this.formatSearchResults(rawResults)

    // AI生成的相关洞察
    const aiInsights = await this.generateAIInsights(query, results)
    results.push(...aiInsights)

    const queryTime = Date.now() - startTime

    return {
      results,
      stats: {
        totalResults: results.length,
        queryTime,
        suggestions: await this.generateAISuggestions(query, aiAnalysis),
        filters: this.extractAvailableFilters(results),
      },
      hasMore: results.length === (options.limit || 50),
    }
  }

  // 格式化搜索结果
  private formatSearchResults(rawResults: any[]): SearchResult[] {
    return rawResults.map((result) => ({
      id: result.id || result.user_id || result.keyword_id,
      type: result.type || "user",
      title: result.title || result.username || result.keyword,
      description: result.description || this.generateDescription(result),
      tags: this.parseTags(result.tags),
      relevanceScore: result.relevance_score || 0,
      updatedAt: result.updated_at || result.last_active || result.last_updated,
      metadata: {
        ...result,
        searchType: result.type,
      },
    }))
  }

  // 生成描述
  private generateDescription(result: any): string {
    if (result.type === "user") {
      return `${result.phone || ""} | ${result.email || ""} | RFM: ${result.rfm_score || "N/A"}`
    } else if (result.type === "traffic") {
      return `搜索量: ${result.search_volume || "N/A"} | 竞争度: ${result.competition || "N/A"} | CPC: ${result.cpc || "N/A"}`
    }
    return result.description || ""
  }

  // 解析标签
  private parseTags(tags: any): string[] {
    if (typeof tags === "string") {
      try {
        return JSON.parse(tags)
      } catch {
        return tags.split(",").map((tag) => tag.trim())
      }
    }
    return Array.isArray(tags) ? tags : []
  }

  // 生成搜索建议
  private async generateSuggestions(query: string): Promise<string[]> {
    const suggestions: string[] = []

    // 基于搜索历史的建议
    const historySuggestions = this.searchHistory
      .filter((h) => h.toLowerCase().includes(query.toLowerCase()) && h !== query)
      .slice(0, 3)

    suggestions.push(...historySuggestions)

    // 基于热门查询的建议
    const popularSuggestions = Array.from(this.popularQueries.entries())
      .sort((a, b) => b[1] - a[1])
      .map(([q]) => q)
      .filter((q) => q.toLowerCase().includes(query.toLowerCase()) && q !== query)
      .slice(0, 3)

    suggestions.push(...popularSuggestions)

    // 智能补全建议
    const completionSuggestions = await this.generateCompletionSuggestions(query)
    suggestions.push(...completionSuggestions)

    return [...new Set(suggestions)].slice(0, 8)
  }

  // 生成AI建议
  private async generateAISuggestions(query: string, aiAnalysis: any): Promise<string[]> {
    try {
      const aiRequest: AIQueryRequest = {
        query: `基于查询"${query}"和分析结果，生成5个相关的搜索建议`,
        model: "gpt4",
        useCache: true,
      }

      const result = await this.mindsDB.aiQuery(aiRequest)
      return this.parseAISuggestions(result)
    } catch (error) {
      console.error("生成AI建议失败:", error)
      return []
    }
  }

  // 生成补全建议
  private async generateCompletionSuggestions(query: string): Promise<string[]> {
    const commonSuffixes = ["分析", "统计", "趋势", "预测", "报告", "用户", "流量", "关键词", "转化", "留存"]

    return commonSuffixes
      .map((suffix) => `${query} ${suffix}`)
      .filter((suggestion) => suggestion.length <= 50)
      .slice(0, 3)
  }

  // 解析AI建议
  private parseAISuggestions(aiResult: any): string[] {
    try {
      if (aiResult.suggestions && Array.isArray(aiResult.suggestions)) {
        return aiResult.suggestions
      }

      if (typeof aiResult === "string") {
        const lines = aiResult.split("\n")
        return lines
          .filter((line) => line.trim().length > 0)
          .map((line) => line.replace(/^\d+\.\s*/, "").trim())
          .slice(0, 5)
      }

      return []
    } catch (error) {
      console.error("解析AI建议失败:", error)
      return []
    }
  }

  // 从AI分析中提取过滤器
  private extractFiltersFromAI(aiAnalysis: any): Record<string, any> {
    const filters: Record<string, any> = {}

    try {
      if (aiAnalysis.filters) {
        Object.assign(filters, aiAnalysis.filters)
      }

      if (aiAnalysis.intent === "high_value_users") {
        filters.rfm_score = { $gte: 80 }
      }

      if (aiAnalysis.intent === "recent_activity") {
        filters.last_active = { $gte: new Date(Date.now() - 7 * 24 * 60 * 60 * 1000) }
      }
    } catch (error) {
      console.error("提取AI过滤器失败:", error)
    }

    return filters
  }

  // 生成搜索洞察
  private async generateSearchInsights(query: string, results: SearchResult[]): Promise<SearchResult[]> {
    const insights: SearchResult[] = []

    try {
      const userResults = results.filter((r) => r.type === "user")
      if (userResults.length > 0) {
        const userInsight = await this.generateUserInsight(query, userResults)
        if (userInsight) insights.push(userInsight)
      }

      const trafficResults = results.filter((r) => r.type === "traffic")
      if (trafficResults.length > 0) {
        const trafficInsight = await this.generateTrafficInsight(query, trafficResults)
        if (trafficInsight) insights.push(trafficInsight)
      }
    } catch (error) {
      console.error("生成搜索洞察失败:", error)
    }

    return insights
  }

  // 生成AI洞察
  private async generateAIInsights(query: string, results: SearchResult[]): Promise<SearchResult[]> {
    const insights: SearchResult[] = []

    try {
      const aiRequest: AIQueryRequest = {
        query: `基于搜索查询"${query}"和${results.length}个结果，生成3个关键业务洞察`,
        model: "gpt4",
        useCache: true,
      }

      const aiResult = await this.mindsDB.aiQuery(aiRequest)
      const aiInsights = this.parseAIInsights(aiResult)

      insights.push(...aiInsights)
    } catch (error) {
      console.error("生成AI洞察失败:", error)
    }

    return insights
  }

  // 解析AI洞察
  private parseAIInsights(aiResult: any): SearchResult[] {
    const insights: SearchResult[] = []

    try {
      if (aiResult.insights && Array.isArray(aiResult.insights)) {
        aiResult.insights.forEach((insight: any, index: number) => {
          insights.push({
            id: `ai_insight_${Date.now()}_${index}`,
            type: "insight",
            title: insight.title || `AI洞察 ${index + 1}`,
            description: insight.description || insight.content,
            tags: ["AI洞察", "智能分析"],
            relevanceScore: insight.confidence || 0.8,
            updatedAt: new Date().toISOString(),
            metadata: {
              source: "ai",
              confidence: insight.confidence,
              type: "insight",
            },
          })
        })
      }
    } catch (error) {
      console.error("解析AI洞察失败:", error)
    }

    return insights
  }

  // 生成用户洞察
  private async generateUserInsight(query: string, userResults: SearchResult[]): Promise<SearchResult | null> {
    try {
      const totalUsers = userResults.length
      const avgRelevance = userResults.reduce((sum, r) => sum + r.relevanceScore, 0) / totalUsers

      return {
        id: `user_insight_${Date.now()}`,
        type: "insight",
        title: "用户搜索洞察",
        description: `找到 ${totalUsers} 个相关用户，平均相关度 ${avgRelevance.toFixed(2)}`,
        tags: ["用户分析", "搜索洞察"],
        relevanceScore: 0.9,
        updatedAt: new Date().toISOString(),
        metadata: {
          totalUsers,
          avgRelevance,
          type: "user_insight",
        },
      }
    } catch (error) {
      console.error("生成用户洞察失败:", error)
      return null
    }
  }

  // 生成流量洞察
  private async generateTrafficInsight(query: string, trafficResults: SearchResult[]): Promise<SearchResult | null> {
    try {
      const totalKeywords = trafficResults.length
      const avgRelevance = trafficResults.reduce((sum, r) => sum + r.relevanceScore, 0) / totalKeywords

      return {
        id: `traffic_insight_${Date.now()}`,
        type: "insight",
        title: "流量关键词洞察",
        description: `找到 ${totalKeywords} 个相关关键词，平均相关度 ${avgRelevance.toFixed(2)}`,
        tags: ["流量分析", "关键词洞察"],
        relevanceScore: 0.9,
        updatedAt: new Date().toISOString(),
        metadata: {
          totalKeywords,
          avgRelevance,
          type: "traffic_insight",
        },
      }
    } catch (error) {
      console.error("生成流量洞察失败:", error)
      return null
    }
  }

  // 提取可用过滤器
  private extractAvailableFilters(results: SearchResult[]): Record<string, any> {
    const filters: Record<string, any> = {}

    const types = [...new Set(results.map((r) => r.type))]
    if (types.length > 1) {
      filters.type = types
    }

    const allTags = results.flatMap((r) => r.tags)
    const uniqueTags = [...new Set(allTags)]
    if (uniqueTags.length > 0) {
      filters.tags = uniqueTags.slice(0, 20)
    }

    return filters
  }

  // 添加到搜索历史
  private addToSearchHistory(query: string): void {
    if (query.trim().length === 0) return

    this.searchHistory.unshift(query)
    this.searchHistory = [...new Set(this.searchHistory)].slice(0, 100)

    const count = this.popularQueries.get(query) || 0
    this.popularQueries.set(query, count + 1)
  }

  // 获取搜索统计
  getSearchStats(): any {
    return {
      totalSearches: this.searchHistory.length,
      uniqueQueries: new Set(this.searchHistory).size,
      popularQueries: Array.from(this.popularQueries.entries())
        .sort((a, b) => b[1] - a[1])
        .slice(0, 10)
        .map(([query, count]) => ({ query, count })),
    }
  }

  // 清理搜索历史
  clearSearchHistory(): void {
    this.searchHistory = []
    this.popularQueries.clear()
  }
}

// 单例模式
let searchServiceInstance: IntelligentSearchService | null = null

export function getIntelligentSearchService(): IntelligentSearchService {
  if (!searchServiceInstance) {
    searchServiceInstance = new IntelligentSearchService()
  }
  return searchServiceInstance
}