Home Backend Development Golang How to use dependency injection for unit testing in Golang?

How to use dependency injection for unit testing in Golang?

Jun 02, 2024 pm 08:41 PM
unit test dependency injection

Using dependency injection (DI) in Golang unit testing can isolate the code to be tested and simplify test setup and maintenance. Popular DI libraries include wire and go-inject, which can generate dependency stubs or mocks for testing. The steps of DI testing include setting up dependencies, setting up test cases and asserting results. An example of using DI to test an HTTP request handling function shows how easy it is to isolate and test code without actual dependencies or communication.

如何在 Golang 中使用依赖注入进行单元测试?

How to use dependency injection for unit testing in Golang

Dependency Injection (DI) is a design pattern that allows You provide an object with its dependencies without explicitly creating them. In unit testing, DI can help you isolate the code you want to test and make the tests easier to set up and maintain.

DI in Golang

There are many popular DI libraries in Golang, the most famous of which is [wire](https://github.com/google/ wire) and [go-inject](https://github.com/go-inject/go-inject). These libraries work by generating stubs or mocks that can be used as dependencies in tests.

Set up DI testing

Here's how to set up DI unit testing using wire:

import (
    "context"
    "testing"

    "github.com/google/go-cmp/cmp"
)

// Interface we want to test.
type Greeter interface {
    Greet(ctx context.Context, name string) (string, error)
}

// Implementation we want to test.
type DefaultGreeter struct{}

func (g DefaultGreeter) Greet(ctx context.Context, name string) (string, error) {
    return "Hello, " + name, nil
}

func TestGreeter_Greet(t *testing.T) {
    type Fields struct {
        greeter Greeter
    }

    wire.Build(Fields{
        greeter: (*DefaultGreeter)(nil),
    })

    cases := []struct {
        setup    func(t *testing.T, fields Fields)
        expected *string
        wantErr  bool
    }{
        {
            expected: String("Hello, Bob"),
        },
    }

    for _, tc := range cases {
        tc := tc // capture range variable
        t.Run(testName, func(t *testing.T) {
            t.Parallel()

            fields := Fields{}
            tc.setup(t, fields)

            result, err := fields.greeter.Greet(context.Background(), "Bob")

            if (err != nil) != tc.wantErr {
                t.Fatalf("error = %v, wantErr = %v", err, tc.wantErr)
            }
            if tc.wantErr {
                return
            }
            if diff := cmp.Diff(*tc.expected, result); diff != "" {
                t.Fatalf("result mismatch (-want +got):\n%s", diff)
            }
        })
    }
}
Copy after login

Using DI for testing

In the above test, we use wire.Build to generate an instance of a Fields structure that contains the dependency stubs to be used for testing. We can then set up the test case and assert the results as usual.

Practical Case

The following is how to use DI to unit test a function that handles HTTP requests:

import (
    "net/http"
    "net/http/httptest"
    "testing"

    "github.com/gorilla/mux"
    "github.com/stretchr/testify/assert"

    "mypkg/handlers"
)

// Interface we want to test.
type UserService interface {
    GetUser(id int) (*User, error)
}

// Implementation we want to test.
type DefaultUserService struct{}

func (s DefaultUserService) GetUser(id int) (*User, error) {
    return &User{ID: id, Name: "Bob"}, nil
}

type Request struct {
    UserService UserService
}

func (r Request) ServeHTTP(w http.ResponseWriter, req *http.Request) {
    id, err := strconv.Atoi(mux.Vars(req)["id"])
    if err != nil {
        http.Error(w, err.Error(), http.StatusBadRequest)
        return
    }
    user, err := r.UserService.GetUser(id)
    if err != nil {
        http.Error(w, err.Error(), http.StatusInternalServerError)
        return
    }
    fmt.Fprintf(w, "%s", user.Name)
}

func TestHandler_GetUser(t *testing.T) {
    r := &Request{}

    type Fields struct {
        userService UserService
    }

    wire.Build(Fields{
        userService: (*DefaultUserService)(nil),
    })

    cases := []struct {
        name string
        id   int
        body string
        want string
    }{
        {
            body: `{"body":""}`,
            want: `Bob`,
        },
        {
            id:   2,
            body: `{"body":""}`,
            want: `Bob`,
        },
    }

    for _, tc := range cases {
        tc := tc // capture range variable
        t.Run(tc.name, func(t *testing.T) {
            req, _ := http.NewRequest("GET", "/", bytes.NewBuffer([]byte(tc.body)))
            if tc.id != 0 {
                req = mux.SetURLVars(req, map[string]string{"id": strconv.Itoa(tc.id)})
            }
            rr := httptest.NewRecorder()
            handler := http.HandlerFunc(r.ServeHTTP)
            handler.ServeHTTP(rr, req)

            assert.Equal(t, tc.want, rr.Body.String())
        })
    }
}
Copy after login

By using DI and stubs, we can easily Isolate and test the GetUser function without involving actual database or HTTP requests.

The above is the detailed content of How to use dependency injection for unit testing in Golang?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Unit testing practices for interfaces and abstract classes in Java Unit testing practices for interfaces and abstract classes in Java May 02, 2024 am 10:39 AM

Steps for unit testing interfaces and abstract classes in Java: Create a test class for the interface. Create a mock class to implement the interface methods. Use the Mockito library to mock interface methods and write test methods. Abstract class creates a test class. Create a subclass of an abstract class. Write test methods to test the correctness of abstract classes.

The difference between performance testing and unit testing in Go language The difference between performance testing and unit testing in Go language May 08, 2024 pm 03:09 PM

Performance tests evaluate an application's performance under different loads, while unit tests verify the correctness of a single unit of code. Performance testing focuses on measuring response time and throughput, while unit testing focuses on function output and code coverage. Performance tests simulate real-world environments with high load and concurrency, while unit tests run under low load and serial conditions. The goal of performance testing is to identify performance bottlenecks and optimize the application, while the goal of unit testing is to ensure code correctness and robustness.

Analysis of the advantages and disadvantages of PHP unit testing tools Analysis of the advantages and disadvantages of PHP unit testing tools May 06, 2024 pm 10:51 PM

PHP unit testing tool analysis: PHPUnit: suitable for large projects, provides comprehensive functionality and is easy to install, but may be verbose and slow. PHPUnitWrapper: suitable for small projects, easy to use, optimized for Lumen/Laravel, but has limited functionality, does not provide code coverage analysis, and has limited community support.

How to use table-driven testing method in Golang unit testing? How to use table-driven testing method in Golang unit testing? Jun 01, 2024 am 09:48 AM

Table-driven testing simplifies test case writing in Go unit testing by defining inputs and expected outputs through tables. The syntax includes: 1. Define a slice containing the test case structure; 2. Loop through the slice and compare the results with the expected output. In the actual case, a table-driven test was performed on the function of converting string to uppercase, and gotest was used to run the test and the passing result was printed.

PHP Unit Testing: How to Design Effective Test Cases PHP Unit Testing: How to Design Effective Test Cases Jun 03, 2024 pm 03:34 PM

It is crucial to design effective unit test cases, adhering to the following principles: atomic, concise, repeatable and unambiguous. The steps include: determining the code to be tested, identifying test scenarios, creating assertions, and writing test methods. The practical case demonstrates the creation of test cases for the max() function, emphasizing the importance of specific test scenarios and assertions. By following these principles and steps, you can improve code quality and stability.

PHP Unit Testing: Tips for Increasing Code Coverage PHP Unit Testing: Tips for Increasing Code Coverage Jun 01, 2024 pm 06:39 PM

How to improve code coverage in PHP unit testing: Use PHPUnit's --coverage-html option to generate a coverage report. Use the setAccessible method to override private methods and properties. Use assertions to override Boolean conditions. Gain additional code coverage insights with code review tools.

Integration of PHP unit testing and continuous delivery Integration of PHP unit testing and continuous delivery May 06, 2024 pm 06:45 PM

Summary: By integrating the PHPUnit unit testing framework and CI/CD pipeline, you can improve PHP code quality and accelerate software delivery. PHPUnit allows the creation of test cases to verify component functionality, and CI/CD tools such as GitLabCI and GitHubActions can automatically run these tests. Example: Validate the authentication controller with test cases to ensure the login functionality works as expected.

Error handling strategies for Go function unit testing Error handling strategies for Go function unit testing May 02, 2024 am 11:21 AM

In Go function unit testing, there are two main strategies for error handling: 1. Represent the error as a specific value of the error type, which is used to assert the expected value; 2. Use channels to pass errors to the test function, which is suitable for testing concurrent code. In a practical case, the error value strategy is used to ensure that the function returns 0 for negative input.

See all articles