Method analyzeLabelRelations

MCP/scripts/fetch-issues.js:299–359

(issues)

  }

  async analyzeLabelRelations(issues) {
    console.log('📊 Analyzing label relations...');
    
    const labelPairs = new Map();
    const labelCounts = new Map();
    
    // 收集标签共现信息
    for (const issue of issues) {
      try {
        const labels = Array.isArray(issue.labels)
          ? issue.labels.map(label => typeof label === 'string' ? label : label.name)
          : JSON.parse(issue.labels || '[]');
        
        // 更新单个标签计数
        labels.forEach(label => {
          labelCounts.set(label, (labelCounts.get(label) || 0) + 1);
        });
        
        // 更新标签对的共现计数
        for (let i = 0; i < labels.length; i++) {
          for (let j = i + 1; j < labels.length; j++) {
            const pair = [labels[i], labels[j]].sort().join('->');
            labelPairs.set(pair, (labelPairs.get(pair) || 0) + 1);
          }
        }
      } catch (error) {
        console.error(`Error processing labels for issue #${issue.number}:`, error);
        continue;
      }
    }

    // 计算相关性分数并更新数据库
    const updateRelationSQL = `
      INSERT OR REPLACE INTO label_relations 
      (label1, label2, cooccurrence_count, correlation_score, last_updated)
      VALUES (?, ?, ?, ?, datetime('now'))
    `;

    for (const [pair, count] of labelPairs.entries()) {
      try {
        const [label1, label2] = pair.split('->');
        const correlation = count / Math.sqrt(labelCounts.get(label1) * labelCounts.get(label2));
        
        await new Promise((resolve, reject) => {
          this.db.run(
            updateRelationSQL,
            [label1, label2, count, correlation],
            (err) => {
              if (err) reject(err);
              else resolve();
            }
          );
        });
      } catch (error) {
        console.error(`Error saving relation for pair ${pair}:`, error);
        continue;
      }
    }