xUnit-Addons 1.0.0

dotnet add package xUnit-Addons --version 1.0.0
                    
NuGet\Install-Package xUnit-Addons -Version 1.0.0
                    
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="xUnit-Addons" Version="1.0.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="xUnit-Addons" Version="1.0.0" />
                    
Directory.Packages.props
<PackageReference Include="xUnit-Addons" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add xUnit-Addons --version 1.0.0
                    
#r "nuget: xUnit-Addons, 1.0.0"
                    
#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.
#:package xUnit-Addons@1.0.0
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=xUnit-Addons&version=1.0.0
                    
Install as a Cake Addin
#tool nuget:?package=xUnit-Addons&version=1.0.0
                    
Install as a Cake Tool

xUnit Addons

Run asynchronous code specific to test, once before/after test

Build & Test

xUnit allows you to run code before each test using the BeforeAfterTestAttribute.

But, you cannot run asynchronous code using this attribute. This is needed in many situations.

To solve this problem, I have created a custom abstract xUnit attribute BeforeAfterAsyncTestAttribute,

inheriting from BeforeAfterTestAttribute, that allows you to run asynchronous code before each test or group of tests.

I have provided 2 constructors in the BeforeAfterAsyncTestAttribute to allow you to optionally return a value from the pre-test method and use it in your test.

You can inherit from this attribute and create your own attribute.

Or you can optionally, use the provided derived, sealed class MyBeforeAfterAsyncTestAttribute directly in your tests.

Implementation

First, there are interfaces your specific Test has to implement.

If you want to run async code before the test, implement IRunBeforeAsync.

If you want to run async code after the test, implement IRunAfterAsync.

If you want the pre-test method RunBefore to return a value implement IRunBeforeAsyncWithReturn.

public interface IRunBeforeAsync : IRunAsync
{
    Action? RunBefore { get; }
}

public interface IRunAfterAsync : IRunAsync
{
    Action? RunAfter { get; }
}

public interface IRunBeforeAsyncWithReturn : IRunBeforeAsync
{
    object? ReturnValue { get; set; }
}

In the interface implementation, specific to each test, put your code specific to the Test in the RunBefore & RunAfter Actions, as shown below.

The code in the RunBefore Action will run asynchronously before the test or group of tests decorated with the attribute.

The code in the RunAfter Action will run asynchronously after the test or group of tests decorated with the attribute.

When you want to return a value from the RunBefore pre-test method, assign the value to the ReturnValue property.

public class LoadAIModel : IRunBeforeAsync, IRunAfterAsync
{
    public Action RunBefore => async () =>
    {
        // Arrange
        // Path to load model
        string modelPath = Path.Combine(Environment.CurrentDirectory, "SampleWebsite-AI-Model.zip");

        await PredictionEngine.LoadModelAsync(modelPath);
    };

    public Action RunAfter => async () =>
    {
        // Clean up resources after the test, if necessary
        await PredictionEngine.UnloadModelAsync();
    };
}

public class SetAIModelPath : IRunBeforeAsync, IRunAfterAsync
{
    public Action RunBefore => async () =>
    {
        // Arrange
        // Path to load model
        string modelPath = Path.Combine(Environment.CurrentDirectory, "SampleWebsite-AI-Model.zip");
        // Provide the path to the AI model
        PredictionEngine.AIModelLoadFilePath = modelPath;
    };

    public Action RunAfter => async () =>
    {
        // Clean up resources after the test, if necessary
        await PredictionEngine.UnloadModelAsync();
    };
}

public class BuildLoadPredictContainer : IRunBeforeAsyncWithReturn
{
    public Action RunBefore => async () =>
    {
        var sp = await BuildContainerAsync();

        this.ReturnValue = sp;
    };

    public object? ReturnValue { get; set; }

    private async Task<IServiceProvider> BuildContainerAsync()
    {
        // Build DI container for AI Assistant Service
        var settings = new WebsiteAIAssistantSettings
        {
            AIModelLoadFilePath = Path.Combine(Environment.CurrentDirectory, "SampleWebsite-AI-Model.zip"),
            NegativeConfidenceThreshold = 0.70f,
            NegativeLabel = -1f
        };

        var services = new ServiceCollection();
        services.AddSingleton(settings);
        services.AddSingleton<IWebsiteAIAssistantService, WebsiteAIAssistantService>();
        var sp = services.BuildServiceProvider();

        return await Task.FromResult(sp);
    }
}

Then, you can decorate those specific tests with your inherited attribute or the one provided out of the box.

Provide a Guid (as a string) as a parameter. This Guid must be unique to the test.

When you want to return a value from your pre-test method, create a static method and pass the Type of the class (containing the method) & the method name to the constructor.

Indicate the number of tests in the Theory group that will use the same pre-test method.

public class WebsiteAIAssistantTests
{
    private static IServiceProvider? _aiAssistantServiceProvider;

    [MyBeforeAfterAsyncTest(typeof(LoadAIModel), "5bb02c70-01d1-4987-8a6e-ab7fc8b1dcc4", 3)]
    [Theory]
    [InlineData("What are the requisites for carbon credits?", Scheme.ACCU)]
    [InlineData("How do I calculate net emissions?", Scheme.SafeguardMechanism)]
    [InlineData("What is the colour of a rose?", Scheme.None)]
    public async Task Load_Predict(string userInput, Scheme expectedResult)
    {
        // Arrange
        var input = new ModelInput { Feature = userInput };

        // Act
        var prediction = await PredictionEngine.PredictAsync(input);

        // Assert
        Assert.NotNull(prediction);
        Assert.Equal(expectedResult, (Scheme)prediction.PredictedLabel);
    }

    [MyBeforeAfterAsyncTest(typeof(SetAIModelPath), "d54e2920-ad42-4acc-a6e2-37aad8e9ac3f", 3)]
    [Theory]
    [InlineData("What are the requisites for carbon credits?", Scheme.ACCU)]
    [InlineData("How do I calculate net emissions?", Scheme.SafeguardMechanism)]
    [InlineData("What is the colour of a rose?", Scheme.None)]
    public async Task AutoLoad_Predict(string userInput, Scheme expectedResult)
    {
        // Arrange
        var input = new ModelInput { Feature = userInput };

        // Act
        var prediction = await PredictionEngine.PredictAsync(input);

        // Assert
        Assert.NotNull(prediction);
        Assert.Equal(expectedResult, (Scheme)prediction.PredictedLabel);
    }

    [MyBeforeAfterAsyncTest(typeof(BuildLoadPredictContainer), typeof(WebsiteAIAssistantTests),
                                $"{nameof(BuildLoadPredictDIContainerReturn)}", "67721fe6-cb27-4a6e-9f67-324291367706", 3)]
    [Theory]
    [InlineData("What are the requisites for carbon credits?", Scheme.ACCU)]
    [InlineData("How do I calculate net emissions?", Scheme.SafeguardMechanism)]
    [InlineData("What is the colour of a rose?", Scheme.None)]
    public async Task Load_Predict_Service(string userInput, Scheme expectedResult)
    {
        // Arrange                      
        var aiAssistantService = _aiAssistantServiceProvider!.GetRequiredService<IWebsiteAIAssistantService>();

        var input = new ModelInput { Feature = userInput };

        // Act
        var prediction = await aiAssistantService.PredictAsync(input);

        // Assert
        Assert.NotNull(prediction);
        Assert.Equal(expectedResult, (Scheme)prediction.PredictedLabel);
    }

    private static void BuildLoadPredictDIContainerReturn(object o)
    {
        _aiAssistantServiceProvider = (IServiceProvider)o;
    }
}

Run all the tests in the class.

Your specific code will run ONLY ONCE before & after each group of Theory Tests.

So, for example, your specific code in LoadAIModel will run asynchronously only once before the 3 Tests in the Theory group and once after all 3 tests have completed.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  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.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 was computed.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

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Version Downloads Last Updated
1.0.0 79 3/30/2026

Initial release.