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

export interface ReviewAnalysis {
  sentiment: 'POSITIVE' | 'NEGATIVE' | 'NEUTRAL';
  score: number; // 0-1
  keywords: string[];
  suggestedReply: string;
}

/**
 * [CORE_AI_22] 多模态 SKU 情感分析与评论生成 (Sentiment AI)
 * @description 利用 LLM 分析商品评论情感、提取关键词并自动生成高质量、个性化的回复建议
 */
export class SentimentAIService {
  /**
   * 分析单条评论
   */
  static async analyzeReview(text: string, images?: string[]): Promise<ReviewAnalysis> {
    logger.info(`[SentimentAI] Analyzing review sentiment...`);

    // 实际应调用 AIService 集成 GPT-4o
    // 这里模拟 LLM 分析逻辑
    const mockAnalysis: ReviewAnalysis = {
      sentiment: text.includes('good') || text.includes('great') ? 'POSITIVE' : 'NEGATIVE',
      score: 0.85,
      keywords: ['quality', 'shipping', 'customer service'],
      suggestedReply: `Thank you for your feedback! We're glad you liked the quality of our product. We'll continue to improve our shipping speed.`
    };

    return mockAnalysis;
  }

  /**
   * 批量分析评论并生成月度报告
   */
  static async aggregateSentiment(reviews: string[]): Promise<{
    overallSentiment: number;
    topKeywords: string[];
    actionItems: string[];
  }> {
    logger.info(`[SentimentAI] Aggregating sentiment for ${reviews.length} reviews`);
    
    // 模拟聚合逻辑
    return {
      overallSentiment: 0.78,
      topKeywords: ['value for money', 'fast delivery', 'size issue'],
      actionItems: [
        'Improve size chart accuracy for Apparel category',
        'Reward fast shipping logistics partners'
      ]
    };
  }
}
