Integration tests are crucial for ensuring that your Fiber application works as expected. They allow you to test the complete flow of your application, from the HTTP requests to the responses generated. In this guide, we will explore how to write integration tests using the Fiber framework in Go.
Integration tests help in verifying the interaction between various components of your application, ensuring that everything works together seamlessly. This helps catch issues early in the development process and provides confidence before deploying your application.
Before you start writing integration tests, ensure you have Fiber installed. You can do this using the following command:
go get github.com/gofiber/fiber/v2
Let’s look at a basic example of how to set up and run integration tests for a simple Fiber application:
package main
import (
"net/http"
"net/http/httptest"
"testing"
"github.com/gofiber/fiber/v2"
"github.com/stretchr/testify/assert"
)
func setupApp() *fiber.App {
app := fiber.New()
app.Get("/", func(c *fiber.Ctx) error {
return c.SendString("Hello, World!")
})
return app
}
func TestHelloWorld(t *testing.T) {
app := setupApp()
req := httptest.NewRequest(http.MethodGet, "/", nil)
resp, err := app.Test(req)
assert.NoError(t, err)
assert.Equal(t, http.StatusOK, resp.StatusCode)
body, _ := io.ReadAll(resp.Body)
assert.Equal(t, "Hello, World!", string(body))
}
You can run your tests using the below command:
go test -v
This will execute the tests you have written and provide you with detailed output of the results.
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?