PandaTech.FluentImporter 3.0.0

dotnet add package PandaTech.FluentImporter --version 3.0.0                
NuGet\Install-Package PandaTech.FluentImporter -Version 3.0.0                
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="PandaTech.FluentImporter" Version="3.0.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add PandaTech.FluentImporter --version 3.0.0                
#r "nuget: PandaTech.FluentImporter, 3.0.0"                
#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 PandaTech.FluentImporter as a Cake Addin
#addin nuget:?package=PandaTech.FluentImporter&version=3.0.0

// Install PandaTech.FluentImporter as a Cake Tool
#tool nuget:?package=PandaTech.FluentImporter&version=3.0.0                

Pandatech FluentImporter

The Pandatech.FluentImporter is a lightweight NuGet package designed to facilitate the importation of CSV and Excel data into .NET 8 or higher applications. Featuring a fluent API, the FluentImporter enables developers to specify custom import rules for each model property, making the data import process both straightforward and flexible.

Features

  • Effortlessly import CSV and XLSX (excel) data.
  • Define custom import rules using a fluent API.

Installation

You can install Pandatech FileImporter via NuGet Package Manager or .NET CLI:

dotnet add package PandaTech.FluentImporter

Usage

Define Model

First, define a model class with properties that represent the data fields you wish to import. For example:

public class FileData
{
    public long Id { get; set; }
    public string Name { get; set; }
    public string Description { get; set; }
    public DateTime Date { get; set; }
    public string? Comment { get; set; }
    public DateTime CreatedAt { get; set; }
    public string CreatedBy { get; set; }
}

Define Import Rules

Next, create a class for import rules by inheriting from ImportRule<TModel> and define your rules using the fluent API. For example:

public class FileDataImportRule : ImportRule<FileData>
{
    public FileDataImportRule()
    {
        RuleFor(x => x.Name).NotEmpty();
        RuleFor(x => x.Description).ReadFromColumn("Description text").Default("No Description");
        RuleFor(x => x.Date).ReadFromColumn("Date").Convert(DateTime.Parse);
        RuleFor(x => x.Comment).ReadFromColumn("Comment");
        RuleFor(x => x.Id).ReadFromColumn("Id").Convert(s => BaseConverter.PandaBaseConverter.Base36ToBase10(s)!.Value);
        RuleFor(x => x.CreatedAt).WriteValue(DateTime.UtcNow);
        RuleFor(x => x.CreatedBy).WriteValue("System");
        RuleFor(x => x.CreatedBy).ReadFromModel(x => x.CreatedBy + " - 1");
    }
}

Import Data

Finally, use the methods provided in your import rule instance to import data from CSV, Excel, or in-memory sources.

Import from In-Memory Data

IEnumerable<TModel> GetRecords(IEnumerable<Dictionary<string, string>> data)

Import from CSV

List<TModel> ReadCsv(Stream csvStream)
List<TModel> ReadCsv(string csvFilePath)

Import from Excel

List<TModel> ReadXlsx(Stream stream)
List<TModel> ReadXlsx(string csvFilePath)

Example

var importRule = new FileDataImportRule();
var csvFilePath = "path/to/your/file.csv";
var importedData = importRule.ReadCsv(csvFilePath);

Contributing

Contributions are welcome! Please feel free to submit issues, feature requests, or pull requests.

License

This project is licensed under the MIT License.

Product Compatible and additional computed target framework versions.
.NET net9.0 is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

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GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
3.0.0 274 11/21/2024
2.0.13 171 9/4/2024
2.0.12 403 5/16/2024
2.0.11 109 5/16/2024
2.0.10 96 5/16/2024
2.0.9 118 5/15/2024
2.0.8 101 5/13/2024
2.0.7 108 5/8/2024
2.0.6 169 5/6/2024
2.0.5 117 5/6/2024
2.0.4 128 5/5/2024
2.0.3 104 5/3/2024
2.0.2 91 5/3/2024
2.0.1 127 4/18/2024
2.0.0 111 4/17/2024

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