import { Knex } from 'knex';
import { db } from '../database';

export class MerchantBehaviorAnalysisService {
  /**
   * 分析商户行为数据
   * @param params 分析参数
   * @param traceInfo 追踪信息
   * @returns 分析结果
   */
  public static async analyzeMerchantBehavior(
    params: {
      merchantId: string;
      timeRange?: { start: string; end: string };
      behaviors?: string[];
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    merchantId: string;
    timestamp: string;
    behaviorPatterns: Array<{
      behavior: string;
      frequency: number;
      averageDuration: number;
      peakTime: string;
      trend: 'increasing' | 'decreasing' | 'stable';
    }>;
    insights: string[];
  }> {
    try {
      const merchantId = params.merchantId;
      const timestamp = new Date().toISOString();
      
      // 模拟行为数据
      const behaviorPatterns = [
        {
          behavior: 'login',
          frequency: Math.floor(Math.random() * 50) + 10,
          averageDuration: Math.floor(Math.random() * 30) + 5,
          peakTime: '10:00-12:00',
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
        },
        {
          behavior: 'product_management',
          frequency: Math.floor(Math.random() * 30) + 5,
          averageDuration: Math.floor(Math.random() * 60) + 15,
          peakTime: '14:00-16:00',
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
        },
        {
          behavior: 'order_processing',
          frequency: Math.floor(Math.random() * 40) + 8,
          averageDuration: Math.floor(Math.random() * 45) + 10,
          peakTime: '9:00-11:00',
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
        },
        {
          behavior: 'inventory_management',
          frequency: Math.floor(Math.random() * 25) + 3,
          averageDuration: Math.floor(Math.random() * 50) + 12,
          peakTime: '15:00-17:00',
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
        },
        {
          behavior: 'financial_operations',
          frequency: Math.floor(Math.random() * 15) + 2,
          averageDuration: Math.floor(Math.random() * 40) + 18,
          peakTime: '16:00-18:00',
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
        },
      ];
      
      // 生成洞察
      const insights = [
        `商户 ${merchantId} 的登录频率为 ${behaviorPatterns[0].frequency} 次，呈 ${this.getTrendDescription(behaviorPatterns[0].trend)} 趋势`,
        `产品管理行为的平均持续时间为 ${behaviorPatterns[1].averageDuration} 分钟，峰值时间为 ${behaviorPatterns[1].peakTime}`,
        `订单处理行为的频率为 ${behaviorPatterns[2].frequency} 次，呈 ${this.getTrendDescription(behaviorPatterns[2].trend)} 趋势`,
        `库存管理行为的平均持续时间为 ${behaviorPatterns[3].averageDuration} 分钟，峰值时间为 ${behaviorPatterns[3].peakTime}`,
        `财务操作行为的频率为 ${behaviorPatterns[4].frequency} 次，呈 ${this.getTrendDescription(behaviorPatterns[4].trend)} 趋势`,
      ];
      
      return {
        merchantId,
        timestamp,
        behaviorPatterns,
        insights,
      };
    } catch (error) {
      console.error('Error analyzing merchant behavior:', error);
      throw new Error('Failed to analyze merchant behavior');
    }
  }

  /**
   * 生成商户行为分析报告
   * @param params 报告参数
   * @param traceInfo 追踪信息
   * @returns 分析报告
   */
  public static async generateBehaviorAnalysisReport(
    params: {
      merchantId: string;
      timeRange: { start: string; end: string };
      reportType: 'detailed' | 'summary';
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    reportId: string;
    merchantId: string;
    reportType: string;
    timeRange: { start: string; end: string };
    timestamp: string;
    summary: string;
    behaviorPatterns: Array<{
      behavior: string;
      frequency: number;
      averageDuration: number;
      peakTime: string;
      trend: 'increasing' | 'decreasing' | 'stable';
    }>;
    insights: string[];
    recommendations: string[];
  }> {
    try {
      const reportId = `BEHAVIOR-REPORT-${Date.now()}`;
      const merchantId = params.merchantId;
      const timestamp = new Date().toISOString();
      
      // 分析商户行为
      const analysis = await this.analyzeMerchantBehavior(params, traceInfo);
      
      // 生成摘要
      const summary = `商户 ${merchantId} 在 ${params.timeRange.start} 至 ${params.timeRange.end} 期间的行为分析报告`;
      
      // 生成建议
      const recommendations = [
        '建议优化登录流程，提高商户使用体验',
        '建议在峰值时间提供额外的系统资源，确保服务稳定性',
        '建议简化产品管理操作，减少平均处理时间',
        '建议优化订单处理流程，提高处理效率',
        '建议提供库存管理自动化工具，减少手动操作',
        '建议优化财务操作界面，提高操作便捷性',
      ];
      
      return {
        reportId,
        merchantId,
        reportType: params.reportType,
        timeRange: params.timeRange,
        timestamp,
        summary,
        behaviorPatterns: analysis.behaviorPatterns,
        insights: analysis.insights,
        recommendations,
      };
    } catch (error) {
      console.error('Error generating behavior analysis report:', error);
      throw new Error('Failed to generate behavior analysis report');
    }
  }

  /**
   * 预测商户行为趋势
   * @param params 预测参数
   * @param traceInfo 追踪信息
   * @returns 预测结果
   */
  public static async predictMerchantBehaviorTrend(
    params: {
      merchantId: string;
      timeRange: { start: string; end: string };
      predictionDays: number;
    },
    traceInfo: {
      tenantId: string;
      shopId: string;
      taskId: string;
      traceId: string;
      businessType: 'TOC' | 'TOB';
    }
  ): Promise<{
    merchantId: string;
    timestamp: string;
    predictionDays: number;
    predictions: Array<{
      behavior: string;
      currentFrequency: number;
      predictedFrequency: number;
      trend: 'increasing' | 'decreasing' | 'stable';
      confidence: number;
    }>;
  }> {
    try {
      const merchantId = params.merchantId;
      const timestamp = new Date().toISOString();
      
      // 模拟预测数据
      const predictions = [
        {
          behavior: 'login',
          currentFrequency: Math.floor(Math.random() * 50) + 10,
          predictedFrequency: Math.floor(Math.random() * 20) + 10,
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
          confidence: Math.floor(Math.random() * 30) + 70,
        },
        {
          behavior: 'product_management',
          currentFrequency: Math.floor(Math.random() * 30) + 5,
          predictedFrequency: Math.floor(Math.random() * 15) + 5,
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
          confidence: Math.floor(Math.random() * 30) + 70,
        },
        {
          behavior: 'order_processing',
          currentFrequency: Math.floor(Math.random() * 40) + 8,
          predictedFrequency: Math.floor(Math.random() * 20) + 8,
          trend: ['increasing', 'decreasing', 'stable'][Math.floor(Math.random() * 3)] as 'increasing' | 'decreasing' | 'stable',
          confidence: Math.floor(Math.random() * 30) + 70,
        },
      ];
      
      return {
        merchantId,
        timestamp,
        predictionDays: params.predictionDays,
        predictions,
      };
    } catch (error) {
      console.error('Error predicting merchant behavior trend:', error);
      throw new Error('Failed to predict merchant behavior trend');
    }
  }

  /**
   * 获取趋势描述
   * @param trend 趋势
   * @returns 趋势描述
   */
  private static getTrendDescription(trend: string): string {
    const trendDescriptions = {
      increasing: '上升',
      decreasing: '下降',
      stable: '稳定',
    };
    return trendDescriptions[trend as keyof typeof trendDescriptions] || '';
  }
}