I am a beginner with YAML and studying how to parse YAML into C#. Here I am trying to parse C# Object modules where I have data of complex objects types such as DataTable class or Type class in C#. I know how to convert basic types using YAMLDotNet library but really don't know how to do the same with such types. Please help.
A DataTable is a complex object with lost of properties. The easiest way would be to extract the data that is relevant to you into a simpler data structure and serialize that instead. However, you can create a custom IYamlTypeConverter if you really want to. Here is an example that will serialize the table's column names and type, as well as the values of the rows:
public class DataTableTypeConverter : IYamlTypeConverter
{
public bool Accepts(Type type)
{
return typeof(DataTable).IsAssignableFrom(type);
}
public object ReadYaml(IParser parser, Type type)
{
var table = new DataTable();
parser.Expect<MappingStart>();
ReadColumns(parser, table);
ReadRows(parser, table);
parser.Expect<MappingEnd>();
return table;
}
private static void ReadColumns(IParser parser, DataTable table)
{
var columns = parser.Expect<Scalar>();
if (columns.Value != "columns")
{
throw new YamlException(columns.Start, columns.End,
"Expected a scalar named 'columns'");
}
parser.Expect<MappingStart>();
while (parser.Allow<MappingEnd>() == null)
{
var columnName = parser.Expect<Scalar>();
var typeName = parser.Expect<Scalar>();
table.Columns.Add(columnName.Value, Type.GetType(typeName.Value));
}
}
private static void ReadRows(IParser parser, DataTable table)
{
var columns = parser.Expect<Scalar>();
if (columns.Value != "rows")
{
throw new YamlException(columns.Start, columns.End,
"Expected a scalar named 'rows'");
}
parser.Expect<SequenceStart>();
while (parser.Allow<SequenceEnd>() == null)
{
var row = table.NewRow();
var columnIndex = 0;
parser.Expect<SequenceStart>();
while (parser.Allow<SequenceEnd>() == null)
{
var value = parser.Expect<Scalar>();
var columnType = table.Columns[columnIndex].DataType;
row[columnIndex] = TypeConverter.ChangeType(value.Value, columnType);
++columnIndex;
}
table.Rows.Add(row);
}
}
public void WriteYaml(IEmitter emitter, object value, Type type)
{
var table = (DataTable)value;
emitter.Emit(new MappingStart());
EmitColumns(emitter, table);
EmitRows(emitter, table);
emitter.Emit(new MappingEnd());
}
private static void EmitColumns(IEmitter emitter, DataTable table)
{
emitter.Emit(new Scalar("columns"));
emitter.Emit(new MappingStart(null, null, true, MappingStyle.Block));
foreach (DataColumn column in table.Columns)
{
emitter.Emit(new Scalar(column.ColumnName));
emitter.Emit(new Scalar(column.DataType.AssemblyQualifiedName));
}
emitter.Emit(new MappingEnd());
}
private static void EmitRows(IEmitter emitter, DataTable table)
{
emitter.Emit(new Scalar("rows"));
emitter.Emit(new SequenceStart(null, null, true, SequenceStyle.Block));
foreach (DataRow row in table.Rows)
{
emitter.Emit(new SequenceStart(null, null, true, SequenceStyle.Flow));
foreach (var item in row.ItemArray)
{
var value = TypeConverter.ChangeType<string>(item);
emitter.Emit(new Scalar(value));
}
emitter.Emit(new SequenceEnd());
}
emitter.Emit(new SequenceEnd());
}
}
It is used as follows:
var table = new DataTable();
table.Columns.Add("id", typeof(int));
table.Columns.Add("name", typeof(string));
table.Columns.Add("description", typeof(string));
table.Rows.Add(1, "first", "The first row");
table.Rows.Add(2, "second", "The second row");
// Serialize
var serializer = new SerializerBuilder()
.WithTypeConverter(new DataTableTypeConverter())
.Build();
var yaml = serializer.Serialize(table);
// Deserialize
var deserializer = new DeserializerBuilder()
.WithTypeConverter(new DataTableTypeConverter())
.Build();
var parsedTable = deserializer.Deserialize<DataTable>(yaml);
The serialized YAML in this example is:
columns:
id: System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
name: System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
description: System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089
rows:
- [1, first, The first row]
- [2, second, The second row]
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