我创建了一个解析器来读取按以下方式格式化的文件:
version="v4.5.32"
name="Test File"
date="2513.04.02"
players=
{
{
first_name="John"
last_name="Smith"
country=12
id=0
}
{
first_name="Mario"
last_name="Rossi"
country=56
id=1
}
}
next_player_id=2
matches=
{
22 47 88 1045 1048 3511
}
settings=
{
match_prefix="game"
match_reward_scalar=1,55
match_sets_points=
{
0,5 0,75 1,0
}
next_event_id=56
next_event_fired=false
next_event_probability=0,33
}
...
基本上,这些文件包含一个键/值对列表,其中键始终是一个字符串,值可以是简单值(布尔值,日期,浮点数,整数,字符串),记录(键的子列表/值对(如settings
)或数组(由matches
之类的简单值或players
之类的记录组成)。为了解析和处理这些值,我创建了3个简单的类。
1)MyPair
public sealed class MyPair
{
public MyKey Key { get; }
public MyValue Value { get; }
public MyPair(MyKey key, MyValue value) { ... }
public override String ToString()
{
return String.Concat(Key, " = ", Value);
}
}
2)MyKey
public sealed class MyKey
{
public String Name { get; }
... // other properties set by checking the name in the constructor
public Key(String name) { ... }
public override String ToString()
{
return Name;
}
}
3)MyValue
public sealed class MyValue
{
private readonly dynamic m_UnderlyingValue;
private readonly MyValueCategory m_Category;
public dynamic UnderlyingValue
{
get { return m_UnderlyingValue; }
}
public Boolean Container
{
get { return ((m_Category == ValueCategory.Array) || (m_Category == ValueCategory.Record)); }
}
public MyValueCategory Category
{
get { return m_Category; }
}
public MyValue(DateTime underlyingValue)
{
if (underlyingValue == null)
throw new ArgumentNullException("underlyingValue");
m_UnderlyingValue = underlyingValue;
m_Category = MyValueCategory.DateTime;
}
public MyValue(Boolean underlyingValue) { ... }
public MyValue(Double underlyingValue) { ... }
public MyValue(Int64 underlyingValue) { ... }
public MyValue(MyPair[] underlyingValue) { ... }
public MyValue(MyValue[] underlyingValue) { ... }
public MyValue(String underlyingValue) { ... }
public override String ToString()
{
switch (m_Category)
{
case MyValueCategory.Array:
return String.Concat("Array[", m_UnderlyingValue.Length, "]");
case MyValueCategory.Boolean:
return String.Concat("Boolean[", (m_UnderlyingValue ? "true" : "false"), "]");
case MyValueCategory.DateTime:
return String.Concat("DateTime[", m_UnderlyingValue.ToString("yyyy.MM.dd", CultureInfo.InvariantCulture), "]");
case MyValueCategory.Float:
return String.Concat("Float[", m_UnderlyingValue.ToString("F3", CultureInfo.InvariantCulture), "]");
case MyValueCategory.Integer:
return String.Concat("Integer[", m_UnderlyingValue.ToString("F0", CultureInfo.InvariantCulture), "]");
case MyValueCategory.Record:
return String.Concat("Record[", m_UnderlyingValue.Length, "]");
default:
return String.Concat("Text[", m_UnderlyingValue, "]");
}
}
}
public enum MyValueCategory
{
Array,
Boolean,
DateTime,
Float,
Integer,
Record,
Text
}
解析过程就像一个魅力,并返回一个MyValue
实例,它就像我解析的所有内容一样,就像容器/根节点一样。
我没有使用WPF
表单,只是简单Winforms
。我想用解析后的数据分层填充TreeView
控件,然后使这些数据响应对TreeView
节点所做的更改。我真的无法弄清楚如何将数据绑定到控件本身并允许镜像操作。
有什么建议吗?
答案 0 :(得分:3)
您可以使用以下代码递归填充TreeView
:
protected override void OnLoad( EventArgs e )
{
base.OnLoad( e );
MyValue root = new MyParser().Parse( "MyFilename.own" );
Populate( treeView1.Nodes, root.UnderlyingValue );
}
protected void Populate( TreeNodeCollection nodes, IList list )
{
if( list is MyPair[] )
{
foreach( MyPair pair in list )
{
TreeNode node = new TreeNode();
node.Text = pair.ToString();
node.Tag = pair;
nodes.Add( node );
if( pair.Value.Container )
Populate( node.Nodes, (IList)pair.Value.UnderlyingValue );
}
}
if( list is MyValue[] )
{
foreach( MyValue value in list )
{
TreeNode node = new TreeNode();
node.Text = value.ToString();
node.Tag = value;
nodes.Add( node );
if( value.Container )
Populate( node.Nodes, (IList)value.UnderlyingValue );
}
}
}
结果看起来像那样:
正如@Reza Aghaei已经提到过,通过数据绑定无法做到这一点。添加/删除节点后,您必须手动维护列表。将node.Tag
设置为相应的对或值可以让您轻松找到并修改它们。