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fsharp-testing

F#-Testmuster mit xUnit, FsUnit, Unquote, FsCheck, Integrationstests und bewährten Methoden zur Testorganisation. Verwenden bei F#-Tests mit xUnit, FsUnit, Unquote oder FsCheck.

Was ist fsharp-testing?

Diese Skill bietet eine umfassende Anleitung zum Testen von F#-Anwendungen mit dem modernen .NET-Ökosystem. Sie deckt die gesamte Testpyramide ab: Komponententests mit xUnit und FsUnit für aussagekräftige Asserts, Unquote für klare Fehlermeldungen mittels F#-Quotationen und FsCheck für eigenschaftsbasierte Tests. Darüber hinaus werden Integrationstests mit WebApplicationFactory (ASP.NET Core) und Testcontainers für reale Infrastruktur behandelt. Die Skill wurde entwickelt, um Konsistenz und Qualität in F#-Projekten zu gewährleisten und ist sowohl für manuelle als auch für KI-gestützte Testentwicklung optimiert.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/fsharp-testing

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Dokumentation

F#-Testmuster

Umfassende Testmuster für F#-Anwendungen mit xUnit, FsUnit, Unquote, FsCheck und modernen .NET-Testpraktiken.

Wann aktivieren

  • Schreiben neuer Tests für F#-Code
  • Überprüfen der Testqualität und -abdeckung
  • Einrichten der Testinfrastruktur für F#-Projekte
  • Debuggen von flaky oder langsamen Tests

Testframework-Stack

ToolZweck
xUnitTestframework (Standard im .NET-Ökosystem)
FsUnit.xUnitF#-freundliche Assert-Syntax für xUnit
UnquoteAssert-Bibliothek mit F#-Quotationen für klare Fehlermeldungen
FsCheck.xUnitEigenschaftsbasierte Tests integriert mit xUnit
NSubstituteMocken von .NET-Abhängigkeiten
TestcontainersReale Infrastruktur in Integrationstests
WebApplicationFactoryASP.NET Core-Integrationstests

Komponententests mit xUnit + FsUnit

Grundlegende Teststruktur

module OrderServiceTests

open Xunit
open FsUnit.Xunit

[<Fact>]
let ``create setzt Status auf Pending`` () =
    let order = Order.create "cust-1" [ validItem ]
    order.Status |> should equal Pending

[<Fact>]
let ``confirm ändert Status auf Confirmed`` () =
    let order = Order.create "cust-1" [ validItem ]
    let confirmed = Order.confirm order
    confirmed.Status |> should be (ofCase <@ Confirmed @>)

Assertions mit Unquote

Unquote verwendet F#-Quotationen, sodass Fehlermeldungen den gesamten fehlgeschlagenen Ausdruck anzeigen, nicht nur "expected X got Y".

module OrderValidationTests

open Xunit
open Swensen.Unquote

[<Fact>]
let ``PlaceOrder gibt Erfolg zurück, wenn die Anfrage gültig ist`` () =
    let request = { CustomerId = "cust-123"; Items = [ validItem ] }
    let result = OrderService.placeOrder request
    test <@ Result.isOk result @>

[<Fact>]
let ``Bestellsumme summiert Artikelpreise`` () =
    let items = [ { Sku = "A"; Quantity = 2; Price = 10m }
                  { Sku = "B"; Quantity = 1; Price = 5m } ]
    let total = Order.calculateTotal items
    test <@ total = 25m @>

[<Fact>]
let ``validierte E-Mail lehnt leere Eingabe ab`` () =
    let result = ValidatedEmail.create ""
    test <@ Result.isError result @>

Async-Tests

[<Fact>]
let ``PlaceOrder gibt Erfolg zurück, wenn die Anfrage gültig ist`` () = task {
    let deps = createTestDeps ()
    let request = { CustomerId = "cust-123"; Items = [ validItem ] }

    let! result = OrderService.placeOrder deps request

    test <@ Result.isOk result @>
}

[<Fact>]
let ``PlaceOrder gibt Fehler zurück, wenn Artikel leer sind`` () = task {
    let deps = createTestDeps ()
    let request = { CustomerId = "cust-123"; Items = [] }

    let! result = OrderService.placeOrder deps request

    test <@ Result.isError result @>
}

Parametrisierte Tests mit Theory

[<Theory>]
[<InlineData("")>]
[<InlineData("   ")>]
let ``PlaceOrder lehnt leere Kunden-ID ab`` (customerId: string) =
    let request = { CustomerId = customerId; Items = [ validItem ] }
    let result = OrderService.placeOrder request
    result |> should be (ofCase <@ Error @>)

[<Theory>]
[<InlineData("", false)>]
[<InlineData("a", false)>]
[<InlineData("[email protected]", true)>]
[<InlineData("[email protected]", true)>]
let ``IsValidEmail gibt erwartetes Ergebnis zurück`` (email: string, expected: bool) =
    test <@ EmailValidator.isValid email = expected @>

Eigenschaftsbasierte Tests mit FsCheck

Mit FsCheck.xUnit

open FsCheck
open FsCheck.Xunit

[<Property>]
let ``Bestellsumme ist immer nicht-negativ`` (items: NonEmptyList<PositiveInt * decimal>) =
    let orderItems =
        items.Get
        |> List.map (fun (qty, price) ->
            { Sku = "SKU"; Quantity = qty.Get; Price = abs price })
    let total = Order.calculateTotal orderItems
    total >= 0m

[<Property>]
let ``Serialisierung roundtrips`` (order: Order) =
    let json = JsonSerializer.Serialize order
    let deserialized = JsonSerializer.Deserialize<Order> json
    deserialized = order

Benutzerdefinierte Generatoren

type OrderGenerators =
    static member ValidEmail () =
        gen {
            let! user = Gen.elements [ "alice"; "bob"; "carol" ]
            let! domain = Gen.elements [ "example.com"; "test.org" ]
            return $"{user}@{domain}"
        }
        |> Arb.fromGen

[<Property(Arbitrary = [| typeof<OrderGenerators> |])>]
let ``gültige E-Mails bestehen die Validierung`` (email: string) =
    EmailValidator.isValid email

Mocken von Abhängigkeiten

Funktions-Stubs (bevorzugt)

let createTestDeps () =
    let mutable savedOrders = []
    { FindOrder = fun id -> task { return Map.tryFind id testData }
      SaveOrder = fun order -> task { savedOrders <- order :: savedOrders }
      SendNotification = fun _ -> Task.CompletedTask }

[<Fact>]
let ``PlaceOrder speichert die bestätigte Bestellung`` () = task {
    let mutable saved = []
    let deps =
        { createTestDeps () with
            SaveOrder = fun order -> task { saved <- order :: saved } }

    let! _ = OrderService.placeOrder deps validRequest

    test <@ saved.Length = 1 @>
}

NSubstitute für .NET-Interfaces

open NSubstitute

[<Fact>]
let ``ruft Repository mit korrekter ID auf`` () = task {
    let repo = Substitute.For<IOrderRepository>()
    repo.FindByIdAsync(Arg.Any<Guid>(), Arg.Any<CancellationToken>())
        .Returns(Task.FromResult(Some testOrder))

    let service = OrderService(repo)
    let! _ = service.GetOrder(testOrder.Id, CancellationToken.None)

    do! repo.Received(1).FindByIdAsync(testOrder.Id, Arg.Any<CancellationToken>())
}

ASP.NET Core-Integrationstests

type OrderApiTests (factory: WebApplicationFactory<Program>) =
    interface IClassFixture<WebApplicationFactory<Program>>

    let client =
        factory.WithWebHostBuilder(fun builder ->
            builder.ConfigureServices(fun services ->
                services.RemoveAll<DbContextOptions<AppDbContext>>() |> ignore
                services.AddDbContext<AppDbContext>(fun options ->
                    options.UseInMemoryDatabase("TestDb") |> ignore) |> ignore))
            .CreateClient()

    [<Fact>]
    member _.``GET order gibt 404 zurück, wenn nicht gefunden`` () = task {
        let! response = client.GetAsync($"/api/orders/{Guid.NewGuid()}")
        test <@ response.StatusCode = HttpStatusCode.NotFound @>
    }

Testorganisation

tests/
  MyApp.Tests/
    Unit/
      OrderServiceTests.fs
      PaymentServiceTests.fs
    Integration/
      OrderApiTests.fs
      OrderRepositoryTests.fs
    Properties/
      OrderPropertyTests.fs
    Helpers/
      TestData.fs
      TestDeps.fs

Häufige Anti-Patterns

Anti-PatternLösung
Testen von ImplementierungsdetailsVerhalten und Ergebnisse testen
Veränderbarer gemeinsamer TestzustandNeuen Zustand pro Test
Thread.Sleep in Async-TestsTask.Delay mit Timeout oder Polling-Helfer verwenden
Assertion auf sprintf-AusgabeAuf typisierte Werte und Mustervergleiche asserten
Ignorieren von CancellationTokenImmer übergeben und Abbruch überprüfen
Überspringen eigenschaftsbasierter TestsFsCheck für jede Funktion mit klaren Invarianten verwenden

Verwandte Skills

  • dotnet-patterns - Idiomatische .NET-Muster, Dependency Injection und Architektur
  • csharp-testing - C#-Testmuster (gemeinsame Infrastruktur wie WebApplicationFactory und Testcontainers gilt auch für F#)

Tests ausführen

# Alle Tests ausführen
dotnet test

# Mit Codeabdeckung ausführen
dotnet test --collect:"XPlat Code Coverage"

# Bestimmtes Projekt ausführen
dotnet test tests/MyApp.Tests/

# Nach Testnamen filtern
dotnet test --filter "FullyQualifiedName~OrderService"

# Watch-Modus während der Entwicklung
dotnet watch test --project tests/MyApp.Tests/

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/ECC

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

Verwandte Skills