如何使用 ChoETL 在运行时将 CSV header 映射到属性名称
How do I map CSV header to propertyname at runtime with ChoETL
使用 choETL 我发现我可以像这样将 csv 位置映射到 属性 名称
public class Emp
{
public string Name { get; set; }
public string Other{ get; set; }
public string MyId { get; set; }
}
[Test]
public void TestMapping()
{
ChoCSVRecordConfiguration config = new ChoCSVRecordConfiguration();
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", 1));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", 2));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", 3));
config.WithFirstLineHeader(true);
string csv = @"Id, Name,
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
using (var p = ChoCSVReader<Emp>.LoadText(csv, Encoding.ASCII,config)
// .WithFirstLineHeader(true)
)
{
Console.WriteLine(p.ToList().DumpAsJson());
}
}
然而我真正想要的是能够在运行时映射。使用以下伪代码:
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", "Id"));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", "Name"));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", "City"));
string csv1 = @"Id, Name, City
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
string csv2 = @"Name, Id, City
Tom, 1, NY
Mark, 2, NJ
Lou, 3, FL
Smith, 4, PA
Raj, 5, DC
";
所以我可以对两个 csv 文件使用相同的配置。除了位置被调换之外,它们几乎完全相同。
这可以用 choETL 实现吗?
更新:这是设置配置以满足您的要求的方法
ChoCSVRecordConfiguration config = new ChoCSVRecordConfiguration();
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", 0) { FieldName = "Id" });
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", 0) { FieldName = "Name" });
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", 0) { FieldName = "City" });
config.WithFirstLineHeader(false);
希望这对您有所帮助。
是的,这是可能的,而且您正确地启动了您的代码。查看您的示例代码后,注意到您输入的 CSV 缺少第 3 个字段名称 City
。这可能会导致解析器失败。
这是工作示例。
public class Emp
{
public string Name { get; set; }
public string Other { get; set; }
public string MyId { get; set; }
}
public static void TestMapping()
{
ChoCSVRecordConfiguration config = new ChoCSVRecordConfiguration();
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", 1));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", 2));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", 3));
config.WithFirstLineHeader(true);
string csv = @"Id, Name, City
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
using (var p = ChoCSVReader<Emp>.LoadText(csv, Encoding.ASCII, config))
{
Console.WriteLine(p.ToList().Dump());
}
}
输出:
[Count: 5]
-- CoinCount.Program+Emp State --
Name: Tom
Other: NY
MyId: 1
-- CoinCount.Program+Emp State --
Name: Mark
Other: NJ
MyId: 2
-- CoinCount.Program+Emp State --
Name: Lou
Other: FL
MyId: 3
-- CoinCount.Program+Emp State --
Name: Smith
Other: PA
MyId: 4
-- CoinCount.Program+Emp State --
Name: Raj
Other: DC
MyId: 5
这是另一种方法,仅使用 POCO class
即可完全管理 CSV 解析
[ChoCSVFileHeader(IgnoreHeader = true)]
public class Emp
{
[ChoCSVRecordField(2)]
public string Name { get; set; }
[ChoCSVRecordField(3)]
public string Other { get; set; }
[ChoCSVRecordField(1)]
public string MyId { get; set; }
}
public static void TestMapping()
{
string csv = @"Id, Name, City
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
using (var p = ChoCSVReader<Emp>.LoadText(csv))
{
Console.WriteLine(p.ToList().Dump());
}
}
使用 choETL 我发现我可以像这样将 csv 位置映射到 属性 名称
public class Emp
{
public string Name { get; set; }
public string Other{ get; set; }
public string MyId { get; set; }
}
[Test]
public void TestMapping()
{
ChoCSVRecordConfiguration config = new ChoCSVRecordConfiguration();
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", 1));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", 2));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", 3));
config.WithFirstLineHeader(true);
string csv = @"Id, Name,
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
using (var p = ChoCSVReader<Emp>.LoadText(csv, Encoding.ASCII,config)
// .WithFirstLineHeader(true)
)
{
Console.WriteLine(p.ToList().DumpAsJson());
}
}
然而我真正想要的是能够在运行时映射。使用以下伪代码:
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", "Id"));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", "Name"));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", "City"));
string csv1 = @"Id, Name, City
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
string csv2 = @"Name, Id, City
Tom, 1, NY
Mark, 2, NJ
Lou, 3, FL
Smith, 4, PA
Raj, 5, DC
";
所以我可以对两个 csv 文件使用相同的配置。除了位置被调换之外,它们几乎完全相同。 这可以用 choETL 实现吗?
更新:这是设置配置以满足您的要求的方法
ChoCSVRecordConfiguration config = new ChoCSVRecordConfiguration();
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", 0) { FieldName = "Id" });
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", 0) { FieldName = "Name" });
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", 0) { FieldName = "City" });
config.WithFirstLineHeader(false);
希望这对您有所帮助。
是的,这是可能的,而且您正确地启动了您的代码。查看您的示例代码后,注意到您输入的 CSV 缺少第 3 个字段名称 City
。这可能会导致解析器失败。
这是工作示例。
public class Emp
{
public string Name { get; set; }
public string Other { get; set; }
public string MyId { get; set; }
}
public static void TestMapping()
{
ChoCSVRecordConfiguration config = new ChoCSVRecordConfiguration();
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("MyId", 1));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Name", 2));
config.CSVRecordFieldConfigurations.Add(new ChoCSVRecordFieldConfiguration("Other", 3));
config.WithFirstLineHeader(true);
string csv = @"Id, Name, City
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
using (var p = ChoCSVReader<Emp>.LoadText(csv, Encoding.ASCII, config))
{
Console.WriteLine(p.ToList().Dump());
}
}
输出:
[Count: 5]
-- CoinCount.Program+Emp State --
Name: Tom
Other: NY
MyId: 1
-- CoinCount.Program+Emp State --
Name: Mark
Other: NJ
MyId: 2
-- CoinCount.Program+Emp State --
Name: Lou
Other: FL
MyId: 3
-- CoinCount.Program+Emp State --
Name: Smith
Other: PA
MyId: 4
-- CoinCount.Program+Emp State --
Name: Raj
Other: DC
MyId: 5
这是另一种方法,仅使用 POCO class
即可完全管理 CSV 解析[ChoCSVFileHeader(IgnoreHeader = true)]
public class Emp
{
[ChoCSVRecordField(2)]
public string Name { get; set; }
[ChoCSVRecordField(3)]
public string Other { get; set; }
[ChoCSVRecordField(1)]
public string MyId { get; set; }
}
public static void TestMapping()
{
string csv = @"Id, Name, City
1, Tom, NY
2, Mark, NJ
3, Lou, FL
4, Smith, PA
5, Raj, DC
";
using (var p = ChoCSVReader<Emp>.LoadText(csv))
{
Console.WriteLine(p.ToList().Dump());
}
}