我有一个包含大量嵌套类的大型基础架构,我正在寻找正确的设计模式。
我将解释:我有一个名为“Title”的类和名为 Item A Title 的类包含不同的项目,每个项目包含不同的数据
您可以在示意图中看到 Title 还包含 ItemList,其中包含更多项目。每个项目都可以包含项目。
我正在添加基础架构的示意图,它看起来像一棵非二叉树
我正在为这个对象寻找最好的数据结构,
要求:
- 使用节点 ID 和树节点,我将能够快速找到节点
- 良好的代码可维护性
- 可以从平地切换到树,从树到平地
我有一个包含大量嵌套类的大型基础架构,我正在寻找正确的设计模式。
我将解释:我有一个名为“Title”的类和名为 Item A Title 的类包含不同的项目,每个项目包含不同的数据
您可以在示意图中看到 Title 还包含 ItemList,其中包含更多项目。每个项目都可以包含项目。
我正在添加基础架构的示意图,它看起来像一棵非二叉树
我正在为这个对象寻找最好的数据结构,
要求:
无论层次结构如何,您的问题似乎都要求快速访问节点的 ID 值。在这种情况下,您可能最好(正如 Daniel Gabriel 在评论中建议的那样)创建一个为“搜索”ID 的平面列表而优化的平面列表,因为您的查找操作不关心层次结构。仅仅因为你的对象在树结构中并不意味着你不能在另一个结构中索引它们。字典应该非常擅长 - 键可以是整数(或任何您的节点 ID),值可以引用节点对象实例。你只需要记住保持这个结构与你的树结构同步。删除节点时从字典中删除键,并在添加节点时将它们添加到字典中(如果结构是动态的)。
这满足了您的要求#1,可能还有#2(如果必要的话,您将索引的同步封装在同一个类中)。对于#3,我们可能需要更多信息,但如果您保持这些结构同步,您将始终可以访问这两种格式而无需转换。应该很容易。
下面是一些示例代码,演示了如何封装可以始终提供平面索引和树结构的结构:
class Program
{
static void Main(string[] args)
{
Node<int, string> node1 = new Node<int, string>(1, "One");
Node<int, string> node2 = new Node<int, string>(2, "Two");
Node<int, string> node3 = new Node<int, string>(3, "Three");
Node<int, string> node4 = new Node<int, string>(4, "Four");
node2.Parent = node1;
node3.Parent = node1;
node4.Parent = node2;
Console.WriteLine(node1.GetDump());
Node<int, string> node5 = new Node<int, string>(5, "Five");
// Test spliting the tree attaching it and it's subtree to another parent
node2.Parent = node5;
Console.WriteLine(node1.GetDump());
Console.WriteLine(node5.GetDump());
// Test re-attaching the detached parent as a child
node1.Parent = node2;
Console.WriteLine(node5.GetDump());
// Test moving a node to another parent within the tree
node1.Parent = node5;
Console.WriteLine(node5.GetDump());
}
}
/// <summary>
/// Create a tree structure whose nodes are of type T and are indexed by ID type I
/// </summary>
/// <typeparam name="I">Type of the index</typeparam>
/// <typeparam name="T">Type of the node</typeparam>
class Node<I, T>
{
private Dictionary<I, Node<I, T>> rootIndex; // Shared flat index
public I Id { get; private set; }
public T Value { get; set; }
private Node<I, T> parent;
List<Node<I, T>> childNodes;
public Node(I id, T value)
{
this.Id = id;
this.Value = value;
this.childNodes = new List<Node<I, T>>();
}
public string GetDump()
{
System.Text.StringBuilder sb = new StringBuilder();
if (parent == null)
{
foreach (KeyValuePair<I, Node<I,T>> node in rootIndex)
{
sb.Append(string.Format("{0}:{1} ", node.Key, node.Value.Value));
}
sb.AppendLine();
}
sb.AppendLine(string.Format("ID={0}, Value={1}, ParentId={2}", Id, Value,
(parent == null)?"(null)":parent.Id.ToString()));
foreach (Node<I, T> child in childNodes)
{
string childDump = child.GetDump();
foreach (string line in childDump.Split(new string[] {Environment.NewLine},
StringSplitOptions.RemoveEmptyEntries))
{
sb.AppendLine(" " + line);
}
}
return sb.ToString();
}
private void RemoveFromIndex(Dictionary<I, Node<I, T>> index)
{
index.Remove(Id);
foreach(Node<I, T> node in childNodes)
node.RemoveFromIndex(index);
}
private void ReplaceIndex(Dictionary<I, Node<I, T>> index)
{
rootIndex = index;
rootIndex[Id] = this;
foreach (Node<I, T> node in childNodes)
node.ReplaceIndex(index);
}
public Node<I, T> Parent
{
get
{
return parent;
}
set
{
// If this node was in another tree, remove it from the other tree
if (parent != null)
{
// If the tree is truly a separate tree, remove it and all nodes under
// it from the old tree's index completely.
if (value == null || (parent.rootIndex != value.rootIndex))
{
// Split the child's index from the parent's
Dictionary<I, Node<I, T>> parentRootIndex = parent.rootIndex;
RemoveFromIndex(parentRootIndex);
rootIndex = new Dictionary<I, Node<I, T>>();
ReplaceIndex(rootIndex);
}
// Remove it from it's old parent node's child collection
parent.childNodes.Remove(this);
}
// These operations only apply to a node that is not being removed
// from the tree
if (value != null)
{
// If parent does not already have an index, create one with itself listed
if (value.rootIndex == null)
{
value.rootIndex = new Dictionary<I, Node<I, T>>();
value.rootIndex[value.Id] = value;
}
// If the index for the child node is separate form that of the parent
// node, merge them as appropriate
if (this.rootIndex != value.rootIndex)
{
// If this node has a complete index, merge the two tree indexes
// into the parent's index
if (this.rootIndex != null)
{
foreach (KeyValuePair<I, Node<I, T>> node in rootIndex)
{
if (value.rootIndex.ContainsKey(node.Key))
throw new InvalidOperationException(string.Format(
"Node Id {0} in child tree already exists in the parent",
node.Key));
value.rootIndex[node.Key] = node.Value;
}
}
else
{
// If this node does not have an index, it is not a tree;
// just add it to the parent's index.
if (value.rootIndex.ContainsKey(this.Id))
throw new InvalidOperationException(string.Format(
"Node Id {0} already exists in the parent's tree.", Id));
value.rootIndex[this.Id] = this;
}
}
// Make all nodes in a tree refer to a common root index.
this.rootIndex = value.rootIndex;
// Attach this node to the tree via the parent's child collection.
value.childNodes.Add(this);
}
// Attach this node to the tree via this node's parent property
// (null if removing from the tree)
this.parent = value;
}
}
}