深度解构：堆栈式知识归纳系统的架构逻辑与组织治理

/**
 * 递归计算堆栈式知识单元的聚合得分
 */
function calculateStackValue(stackNode) {
    // 基准情况：如果是最底层原子任务，返回其标准化评分
    if (!stackNode.children || stackNode.children.length === 0) {
        return stackNode.achievementRate || 0;
    }

    // 汇总子堆栈的加权得分
    const weightedSum = stackNode.children.reduce((acc, child) => {
        // 根据节点的逻辑权重进行计算，默认平均分配
        const weight = child.logicWeight || (1 / stackNode.children.length);
        return acc + (calculateStackValue(child) * weight);
    }, 0);

    // 自动更新父级堆栈的整体评分
    stackNode.totalScore = Math.round(weightedSum);
    return stackNode.totalScore;
}

class StackAuditEngine:
    def verify_stack_integrity(self, current_stack, biz_type):
        """对比实际堆栈与标准基准，识别归纳薄弱点"""
        base_std = self.stack_benchmarks.get(biz_type)
        for layer, data in current_stack.items():
            std = base_std.get(layer)
            if std:
                # 核心逻辑：计算执行质量与基准的偏离度
                gap = (data['score'] - std['min_score']) / std['min_score']
                if gap < -0.15:
                    print(f"[Stack Alert] '{layer}' 层级逻辑松散，存在效能流失风险")

WITH RECURSIVE StackHierarchy AS (
    SELECT id, node_name, parent_id, depth_level, quality_index 
    FROM stack_assets WHERE parent_id IS NULL
    UNION ALL
    SELECT s.id, s.node_name, s.parent_id, s.depth_level, s.quality_index
    FROM stack_assets s
    INNER JOIN StackHierarchy sh ON s.parent_id = sh.id
)
SELECT node_name, MAX(depth_level) as stack_depth, AVG(quality_index) as avg_quality
FROM StackHierarchy GROUP BY node_name HAVING stack_depth >= 3;