Mafe.TinyCsv 1.4.1

TinyCsv

TinyCsv is a .NET library to read and write CSV data in an easy way.

To use it in your project, add the Mafe.TinyCsv NuGet package to your project.

Define the model that you want to use, like this:

public class Model
{
    public int Id { get; set; }
    public string Name { get; set; }
    public decimal Price { get; set; }
    public DateTime CreatedOn { get; set; }
    public string TextBase64 { get; set; }
}

Now, is necessary to define the TinyCSV options, like this:

var csv = new TinyCsv<Model>(options =>
{
    // Options
    options.HasHeaderRecord = true;
    options.Delimiter = ";";
    options.RowsToSkip = 0;
    options.SkipRow = (row, idx) => string.IsNullOrWhiteSpace(row) || row.StartsWith("#");
    options.TrimData = true;
    options.SkipEmptyRows = false;
    options.AllowRowEnclosedInDoubleQuotesValues = true;

    // Columns
    options.Columns.AddColumn(m => m.Id);
    options.Columns.AddColumn(m => m.Name);
    options.Columns.AddColumn(m => m.Price);
    options.Columns.AddColumn(m => m.CreatedOn, "dd/MM/yyyy");
    options.Columns.AddColumn(m => m.TextBase64, new Base64Converter());
});

The options defines that the file has the header in first row and the delimier char is ";", furthermore there are defined some columns. RowsToSkip and SkipRow are used to skip the first rows of the file. TrimData is used to remove the white spaces from the data.

Custom Value Converter

It is possible to define a custom converter for a column, like this:

public class Base64Converter : IValueConverter
{
    public string Convert(object value, object parameter, IFormatProvider provider) 
        => Base64Encode($"{value}");

    public object ConvertBack(string value, Type targetType, object parameter, IFormatProvider provider) 
        => Base64Decode(value);

    private string Base64Encode(string plainText)
    {
        var plainTextBytes = System.Text.Encoding.UTF8.GetBytes(plainText);
        return System.Convert.ToBase64String(plainTextBytes);
    }

    private string Base64Decode(string base64EncodedData)
    {
        var base64EncodedBytes = System.Convert.FromBase64String(base64EncodedData);
        return System.Text.Encoding.UTF8.GetString(base64EncodedBytes);
    }
}

Base64Converter is used to convert the data column to a Base64 string and vice versa for TextBase64 column.

A column is defined with the model's property only. The library get or set the value in automatically.

Read

To read a csv file is only necessary invoke the load method, like this:

var models = csv.Load("file.csv");

or you can to use the asynchronously method, like this:

var models = await csv.LoadAsync("file.csv");

The load method returns a collection of Model type items and takes as argument the file's path.

Write

To write a csv file is only necessary invoke the Save method, like this:

csv.Save("file_export.csv", models);

or you can to use the asynchronously method, like this:

await csv.SaveAsync("file_export.csv", models);

The save method takes the file's path and a collection of Model type. The method saves the file.

Event handlers

It's possible to define event handlers for the events of the library, like this:

options.Handlers.Read.RowHeader += (s, e) => Console.WriteLine($"Row header: {e.RowHeader}");
options.Handlers.Read.RowReading += (s, e) => Console.WriteLine($"{e.Index}-{e.Row}");
options.Handlers.Read.RowRead += (s, e) => Console.WriteLine($"{e.Index}-{e.Model}");

and the write handlers are:

options.Handlers.Write.RowHeader += (s, e) => Console.WriteLine($"Row header: {e.RowHeader}");
options.Handlers.Write.RowWriting += (s, e) => Console.WriteLine($"{e.Index} - {e.Model}");
options.Handlers.Write.RowWrittin += (s, e) => Console.WriteLine($"{e.Index} - {e.Row}");```

The library is very very simple to use.