import { logger } from '../../utils/logger';
import { AIService } from '../../services/AIService';

export interface SocialTrend {
  keyword: string;
  platform: 'TikTok' | 'Instagram' | 'Pinterest';
  growthRate: number; // 0-1
  volume: number;
  sentiment: number; // -1 to 1
  relatedCategories: string[];
}

/**
 * [BIZ_MKT_14] 多语种社交媒体趋势实时对齐与选品反馈 (Social Pulse)
 * @description 实时聚合全球主流社交媒体的趋势词、热门视频标签与情感数据，并与 AGI 选品引擎对齐，提供高爆发潜力的商品建议。
 */
export class SocialPulseService {
  /**
   * 聚合实时社交媒体趋势
   */
  static async fetchLiveTrends(region: string): Promise<SocialTrend[]> {
    logger.info(`[SocialPulse] Fetching live trends for region: ${region}`);

    // 1. 模拟抓取 TikTok/Instagram 趋势 (实际应调用专用爬虫或 API)
    const mockTrends: SocialTrend[] = [
      {
        keyword: 'Quiet Luxury Home',
        platform: 'TikTok',
        growthRate: 0.45,
        volume: 1200000,
        sentiment: 0.8,
        relatedCategories: ['Home Decor', 'Furniture']
      },
      {
        keyword: 'Cyberpunk Tech Accessories',
        platform: 'Instagram',
        growthRate: 0.32,
        volume: 850000,
        sentiment: 0.65,
        relatedCategories: ['Electronics', 'Gaming']
      }
    ];

    // 2. 利用 AIService 进行多语种语义对齐 (例如将日语趋势词对齐至英语选品模型)
    logger.info(`[SocialPulse] Aligning multi-lingual semantic clusters...`);

    return mockTrends;
  }

  /**
   * 选品反馈：基于趋势推荐商品特征
   */
  static async suggestProductFeatures(trend: SocialTrend): Promise<string[]> {
    logger.info(`[SocialPulse] Reasoning product features for trend: ${trend.keyword}`);
    
    // 逻辑：由 AGI 基于趋势关键词推导出受欢迎的商品属性
    // 实际场景下会调用 LLM 进行语义推导
    const features: string[] = [];
    
    if (trend.keyword.toLowerCase().includes('luxury')) {
      features.push('Minimalist design', 'High-quality natural fabrics', 'Neutral tones');
    }
    if (trend.keyword.toLowerCase().includes('tech') || trend.keyword.toLowerCase().includes('gaming')) {
      features.push('RGB lighting', 'Ergonomic design', 'Low latency');
    }
    if (trend.growthRate > 0.4) {
      features.push('Viral potential', 'Limited edition');
    }
    
    return features.length > 0 ? features : ['Durable', 'Modern', 'Cost-effective'];
  }

  /**
   * 预测趋势生命周期
   */
  static predictTrendLifecycle(trend: SocialTrend): 'EMERGING' | 'PEAKING' | 'FADING' {
    if (trend.growthRate > 0.4) return 'EMERGING';
    if (trend.volume > 5000000) return 'PEAKING';
    return 'FADING';
  }

  /**
   * 初始化数据库表 (如有)
   */
  static async initTable() {
    // SocialPulse 目前主要通过实时抓取与内存分析，暂无持久化表
    return Promise.resolve();
  }
}
