合并数组值并实现可引用分层计数的技术问询

Hey there! Let's work through this hierarchical counting task for your dataset. First, let's lay out the raw data we're working with:

const dataset = [ 
  "L1-1_L1.0-1_L1.0.0-1", 
  "L1-1_L1.0-2_L1.0.0-1", 
  "L1-1_L1.0-2_L1.0.0-2", 
  "L1-2_L1.0-1_L1.0.0-1", 
  "L1-2_L1.0-1_L1.0.0-2", 
  "L1-3_L1.0-1_L1.0.0-3" 
];

Level 1 (Top-level) Counts #

• L1-1: 3 entries
• L1-2: 2 entries
• L1-3: 1 entry

Level 2 (Nested under Level 1) Counts #

• Under L1-1:
  • L1.0-1: 1 entry
  • L1.0-2: 2 entries
• Under L1-2:
  • L1.0-1: 2 entries
• Under L1-3:
  • L1.0-1: 1 entry

Level 3 (Nested under Level 2) Counts #

• Under L1-1 => L1.0-1:
  • L1.0.0-1: 1 entry
• Under L1-1 => L1.0-2:
  • L1.0.0-1: 1 entry
  • L1.0.0-2: 1 entry
• Under L1-2 => L1.0-1:
  • L1.0.0-1: 1 entry
  • L1.0.0-2: 1 entry
• Under L1-3 => L1.0-1:
  • L1.0.0-3: 1 entry

If you want to generate these counts dynamically (so it works even if your dataset grows or changes), here's a JavaScript function that builds a structured stats object and outputs the counts:

function calculateHierarchicalCounts(dataset) {
  const stats = {};

  dataset.forEach(item => {
    // Split each entry into its three hierarchical parts
    const [level1, level2, level3] = item.split('_');

    // Initialize level 1 if it doesn't exist
    if (!stats[level1]) {
      stats[level1] = { count: 0, children: {} };
    }
    stats[level1].count++;

    // Initialize level 2 under level 1 if it doesn't exist
    if (!stats[level1].children[level2]) {
      stats[level1].children[level2] = { count: 0, children: {} };
    }
    stats[level1].children[level2].count++;

    // Initialize level 3 under level 2 if it doesn't exist
    if (!stats[level1].children[level2].children[level3]) {
      stats[level1].children[level2].children[level3] = { count: 0 };
    }
    stats[level1].children[level2].children[level3].count++;
  });

  return stats;
}

// Usage
const hierarchicalStats = calculateHierarchicalCounts(dataset);
console.log(hierarchicalStats);

How This Works #

1. We split each string in the dataset using the underscore _ delimiter to extract the three hierarchical levels.
2. We build a nested stats object where each level tracks its own count, plus a children object for the next level down.
3. For every entry, we increment the count at each level, initializing the objects if they don't already exist.

内容的提问来源于stack exchange，提问作者cw84