Fmbm.Csv 1.0.0-beta.1

This is a prerelease version of Fmbm.Csv.
There is a newer version of this package available.
See the version list below for details.
dotnet add package Fmbm.Csv --version 1.0.0-beta.1                
NuGet\Install-Package Fmbm.Csv -Version 1.0.0-beta.1                
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="Fmbm.Csv" Version="1.0.0-beta.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Fmbm.Csv --version 1.0.0-beta.1                
#r "nuget: Fmbm.Csv, 1.0.0-beta.1"                
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install Fmbm.Csv as a Cake Addin
#addin nuget:?package=Fmbm.Csv&version=1.0.0-beta.1&prerelease

// Install Fmbm.Csv as a Cake Tool
#tool nuget:?package=Fmbm.Csv&version=1.0.0-beta.1&prerelease                

CSV

Basic reading and writing of CSV (comma-separated value) text to help share data with other applications like spreadsheets applications.

Features:

  • Create objects from CSV text and create CSV text from objects.
  • Implicit conversion for standard types (string, DateTime, int, uint, long, ulong, float, double and decimal).
  • Other types are supported with explicit conversion.
  • Specify the culture used for concersion. (Defaults to CurrentCultue.)
  • Intermediate data structures: Table, Row, and Cell, are available for rudimentary editing of CSV text.

 

For Me, By Me (FMBM)

FMBM packages are created primarily for use by the author. They are intended for getting casual, desktop applications up and running quickly. They may not be suitable for production, scalable nor critical applications. The name is inspired by the Fubu project, 'For Us, By Us', but there is no other connection.

 

Contents

 

Basic Usage

Creating Objects from CSV Text

Given this CSV text for some episodes from the second season of The Big Bang Theory:

Title,No. overall,No. in season,Original air date,Prod. code,U.S. viewers
The Bad Fish Paradigm,18, 1 ,"September 22, 2008",3T7351,9360364
The Barbarian Sublimation,20, 3 ,"October 6, 2008",3T7353,9329673
The Codpiece Topology,19, 2 ,"September 29, 2008",3T7352,8758200
The Cooper-Nowitzki Theorem,23, 6 ,"November 3, 2008",3T7356,9670118
The Euclid Alternative,22, 5 ,"October 20, 2008",3T7355,9280649
The Griffin Equivalency,21, 4 ,"October 13, 2008",3T7354,9356497

We can create Episode objects from this CSV Text using CSV.GetItems:

using Fmbm.Text;

Episode[] episodes = Csv.GetItems(csvTextIn, row =>
    new Episode
    {
        NumOverall = row("No. overall"),
        NumInSeason = row("No. in season"),
        Title = row("Title"),
        OriginalAirDate = row("Original air date"),
        USViewers = row("U.S. viewers")
    }).ToArray();

Signature:

// (string, ((string -> Cell) -> TItem)) -> IEnumerable<Item>
public static IEnumerable<TItem> GetItems<TItem>(
        string csvText,
        Func<Func<string, Cell>, TItem> itemMaker)
//          |------ row ------|

itemMaker is called once for each row of the CSV text (except for the header row). itemMaker is given a row function and returns a TItem.

row takes a header name and returns a Cell containing the text for that position.

 

Creating CSV Text from Objects

CSV text can be created from objects using Csv.GetText:

using Fmbm.Text;

string csvTextOut = Csv.GetText(episodes,
    ("No. Overall", ep => ep.NumOverall),
    ("No. In Season", ep => ep.NumInSeason),
    ("Title", ep => ep.Title),
    ("Original Air Date", ep => ep.OriginalAirDate),
    ("US Viewers", ep => ep.USViewers));

This creates the following CSV text:

No. Overall,No. In Season,Title,Original Air Date,US Viewers
18,1,The Bad Fish Paradigm,2008-09-22 00:00,9360364
20,3,The Barbarian Sublimation,2008-10-06 00:00,9329673
19,2,The Codpiece Topology,2008-09-29 00:00,8758200
23,6,The Cooper-Nowitzki Theorem,2008-11-03 00:00,9670118
22,5,The Euclid Alternative,2008-10-20 00:00,9280649
21,4,The Griffin Equivalency,2008-10-13 00:00,9356497

Signature:

//  (IEnumerable<TItem>, (columnInfo, columnInfo, ...)) -> string
    public static string GetText<TItem>(
        IEnumerable<TItem> items,
        params (string, Func<TItem, object>)[] columnInfos)

Each columnInfo is a tuple comprising the header for a column and a function that gets the value for that column from a TItem. In the example above. The first columnInfo is ("No. Overall", ep => ep.NumOverall). That is, the header of the first column is "No. Overall" and the value for that column is obtained form the NumOverall property of each episode.

The Episode class used in the above examples is:

class Episode
{
    public long NumOverall { get; set; }
    public int NumInSeason { get; set; }
    public string Title { get; set; }
    public DateTime OriginalAirDate { get; set; }
    public decimal USViewers { get; set; }
}

 

Standard Types

For 'standard' type the Cell does the conversion between the text value it holds and the required type.

The standard types are:

string
DateTime
int
uint
long
ulong
float
double
decimal

 

Culture

For standard types CultureInfo.CurrentCulture is used by default to convert to and from text.

The culture can be specified by passing it as the second argument to GetItems of GetText. E.g. to explictly use InvariantCulture:

var episodes = Csv.GetItems(csvTextIn, CultureInfo.InvariantCulture, row =>
    new Episode
    {
        NumOverall = row("No. overall"),
        ...
    }).ToArray();
string csvTextOut = Csv.GetText(episodes, CultureInfo.InvariantCulture,
    ("No. Overall", ep => ep.NumOverall),
    ...
    );

 

Automatic Conversion

Conversion To Text

DateTime: converts to text using the format yyyy-MM-dd HH:mm. (This format allows for time data to be included and is readable by most spreadsheet apps).

The standard numeric types are converted by calling .ToString(<culture>) on the number.

Other types are converted by calling .ToString() on the object.

null is converted to an empty string.

Conversion From Text

For the standard types conversion from text is done by implicit conversion operators.

DateTime: first a TryParseExact is attempted using the default format yyyy-MM-dd HH:mm, if that fails then Parse is called using the provided or the default culture. Leading and trailing whitespace is allowed.

Standard numeric types are converted by calling Parse on the numeric type with the provided or the default culture. Leading and trailing whitespace, and thousands separators are allowed.

There is no automatic conversion from text to non-standard types.

 

Custom Conversion

Non-standard types, and custom text formats can be supported by explictly providing the CVS text or by parsing from the CVS text. For example, to store the original air date in the form "20:00 on 15-08-2008":

Converting to CSV text:

String DateToText(DateTime date){
    return date.ToString("HH:mm on dd-MM-yyyy");
}

string csvTextOut = Csv.GetText(episodes,
    ...
    ("Original Air Date", ep => DateToText(ep.OriginalAirDate)),
    ...
    );

Converting back to a DateTime:

DateTime TextToDate(string text)
{
    return DateTime.ParseExact(text, "HH:mm on dd-MM-yyyy", null);
}

var episodes = Csv.GetItems(csvTextIn, row =>
    new Episode
    {
        ...
        OriginalAirDate = TextToDate(row("Original air date")),
        ...
    }).ToArray();

Similar conversion methods can be used to convert other types to and from CSV text.

The row method returns a Cell. To explicitly access its content as a string use the Text property. For example:

var episodes = Csv.GetItems(csvTextIn, CultureInfo.InvariantCulture, row =>
    new Episode
    {
        ...
        OriginalAirDate = TextToDate(row("Original air date").Text),
        ...
    }).ToArray();

Using the Text property is not needed in this case but would be necessary if the conversion function took an object, in that case the cell's implicit conversion would not be called.

 

Anonymous Types

GetItems can be used to generate anonymous types. Use explicit casts to specify the type of the properties:

var episodes = Csv.GetItems(csvTextIn, row =>
    new
    {
        NumOverall = (long)row("No. overall"),
        NumInSeason = (int)row("No. in season"),
        Title = (string)row("Title"),
        OriginalAirDate = (DateTime)row("Original air date"),
        USViewers = (decimal)row("U.S. viewers")
    });

 

Tables And Rows

Internally a Table is created both converting from items to text (IEnumerable<TItem> -> Table -> string) or from text to items (string -> Table -> IEnumerable<TItem>). Fmbm.CSV is not intended for editing CSV tables but Table does enable some basic editing. For example, to put double quotes around the tites in the orignal CSV text:

var table = Csv.GetTable(csvTextIn);
foreach(var row in table.Rows.Skip(1)){
    row[0] = new Cell($"\"{row[0]}\"");
}
var csvTextOut = Csv.GetText(table);
Title,No. overall,No. in season,Original air date,Prod. code,U.S. viewers
"""The Bad Fish Paradigm""",18, 1 ,"September 22, 2008",3T7351,9360364
"""The Barbarian Sublimation""",20, 3 ,"October 6, 2008",3T7353,9329673
"""The Codpiece Topology""",19, 2 ,"September 29, 2008",3T7352,8758200
"""The Cooper-Nowitzki Theorem""",23, 6 ,"November 3, 2008",3T7356,9670118
"""The Euclid Alternative""",22, 5 ,"October 20, 2008",3T7355,9280649
"""The Griffin Equivalency""",21, 4 ,"October 13, 2008",3T7354,9356497

Note, it was necessary to Skip the first row to prevent putting double quotes arount Title in the headers row.

Unlike reading and writing items to text, the format of the CSV text is unchanged. The production code is still present, the date is in the original format and the space remain around the episode number.

 

Table Tolerance

GetTable is more permisive than GetItems and can be used to read CSV text that cannot be used by GetItems. GetItems requires there is at least one row, that the items in the first row (the headers) are unique, and that all the rows are of the same length. For example, this CSV can be read by GetTable, but would cause GetItems to throw an exception.

Fruit,Fruit,Fruit
Apple,Banana,Cherry
Green,Yellow
,,,,

Any to Any

GetItems creates items from CSV text, or from a table.
GetTable creates a table from from CSV 'text, or from items.
GetText creates CSV text from a table, or from items.

Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net6.0

    • No dependencies.

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Version Downloads Last updated
1.0.1 563 8/8/2022
1.0.0-beta.1 120 7/3/2022