c#实现对大量文章标签进行聚合分组

比如已知是 10001个章节，第个页面最多显示100个标签，则最终会有3层。以下代码是自己写出，由gpt将递归优化为while循环。

void Main()
{
    int totalChapterCount = 10001;
    int maxChapterCount = 100;

    var chapters = new List<Chapter>();
    for (var i = 0; i < totalChapterCount; i++)
        chapters.Add(new Chapter(i + 1, i + 1) { });
    var result = groupChapters(chapters, maxChapterCount);
    result.Dump();
}

public class Chapter
{
    public int StartIndex { get; set; }
    public int EndIndex { get; set; }
    public List<Chapter> SubChapters { get; set; }

    public Chapter(int start, int end)
    {
        this.StartIndex = start;
        this.EndIndex = end;
        this.SubChapters = new List<Chapter>();
    }
}

public List<Chapter> groupChapters(List<Chapter> chapters, int maxChapterCount)
{
    while (chapters.Count > maxChapterCount)
    {
        var newChapters = new List<Chapter>();
        for (int i = 0; i < chapters.Count; i += maxChapterCount)
        {
            var group = chapters.Skip(i).Take(maxChapterCount).ToList();
            var start = group.First().StartIndex;
            var end = group.Last().EndIndex;
            var newChapter = new Chapter(start, end) { SubChapters = group };
            newChapters.Add(newChapter);
        }
        chapters = newChapters;
    }

    return chapters;
}

为了便于理解，备忘原始递归：

public List<Chapter> groupChapters(List<Chapter> chapters, int maxChapterCount)
{
    var groups = chapters.Select((x, index) => new { Chapter = x, GroupIndex = index / maxChapterCount })
                        .GroupBy(item => item.GroupIndex)
                        .Select(x => new Chapter(x.First().Chapter.StartIndex, x.Last().Chapter.EndIndex) { SubChapters = x.ToList().Select(y=>y.Chapter).ToList() })
                        .ToList();
    if(groups.Count <= maxChapterCount)
        return groups;
    
    return groupChapters(groups,maxChapterCount);
}