Method calculateRelationScore

MCP/scripts/fetch-issues.js:654–675

(article1, article2)

  }

  calculateRelationScore(article1, article2) {
    let score = 0;
    
    // 比较 CSS 属性相似度
    const props1 = new Set(JSON.parse(article1.css_properties));
    const props2 = new Set(JSON.parse(article2.css_properties));
    const commonProps = new Set([...props1].filter(x => props2.has(x)));
    score += commonProps.size * 2;
    
    // 比较技术相似度
    const techs1 = new Set(JSON.parse(article1.techniques));
    const techs2 = new Set(JSON.parse(article2.techniques));
    const commonTechs = new Set([...techs1].filter(x => techs2.has(x)));
    score += commonTechs.size * 3;
    
    // 考虑难度级别
    if (article1.complexity_level === article2.complexity_level) {
      score += 1;
    }
    
    return score;
  }

  generateEnhancedStats() {
    console.log('\n📊 Enhanced Database Statistics:');