Creating a comprehensive integration test setup in Golang with Gin, GORM, Testify, and PostgreSQL involves setting up a test database, writing tests for CRUD operations, and using Testify for assertions. Here’s a step-by-step guide to get you started:
Prerequisites
- Go installed
- Docker installed
- Libraries: gin-gonic/gin, gorm.io/gorm, gorm.io/driver/postgres, testify, testcontainers-go
Project Structure
myapp/ |-- main.go |-- models/ | |-- models.go |-- handlers/ | |-- handlers.go |-- tests/ | |-- integration_test.go |-- go.mod |-- go.sum
1. Setup the Models (models/models.go)
Define the models with GORM tags for database mapping.
package models import ( "time" "gorm.io/gorm" ) type User struct { ID uint `gorm:"primaryKey"` Name string `gorm:"not null"` Email string `gorm:"unique;not null"` CreatedAt time.Time } type Book struct { ID uint `gorm:"primaryKey"` Title string `gorm:"not null"` Author string `gorm:"not null"` PublishedDate time.Time `gorm:"not null"` } type BorrowLog struct { ID uint `gorm:"primaryKey"` UserID uint `gorm:"not null"` BookID uint `gorm:"not null"` BorrowedAt time.Time `gorm:"default:CURRENT_TIMESTAMP"` ReturnedAt *time.Time }
2. Setup Handlers (handlers/handlers.go)
Define the routes and handlers for CRUD operations using Gin.
package handlers import ( "myapp/models" "net/http" "github.com/gin-gonic/gin" "gorm.io/gorm" ) type Handler struct { DB *gorm.DB } func (h *Handler) CreateUser(c *gin.Context) { var user models.User if err := c.ShouldBindJSON(&user); err != nil { c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()}) return } if err := h.DB.Create(&user).Error; err != nil { c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()}) return } c.JSON(http.StatusCreated, user) } func (h *Handler) GetUser(c *gin.Context) { var user models.User if err := h.DB.First(&user, c.Param("id")).Error; err != nil { c.JSON(http.StatusNotFound, gin.H{"error": "User not found"}) return } c.JSON(http.StatusOK, user) } func (h *Handler) UpdateUser(c *gin.Context) { var user models.User if err := h.DB.First(&user, c.Param("id")).Error; err != nil { c.JSON(http.StatusNotFound, gin.H{"error": "User not found"}) return } if err := c.ShouldBindJSON(&user); err != nil { c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()}) return } if err := h.DB.Save(&user).Error; err != nil { c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()}) return } c.JSON(http.StatusOK, user) } func (h *Handler) DeleteUser(c *gin.Context) { if err := h.DB.Delete(&models.User{}, c.Param("id")).Error; err != nil { c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()}) return } c.JSON(http.StatusOK, gin.H{"message": "User deleted"}) }
3. Main Application (main.go)
Set up the database connection and routes.
package main import ( "myapp/handlers" "myapp/models" "github.com/gin-gonic/gin" "gorm.io/driver/postgres" "gorm.io/gorm" "log" "os" ) func main() { dsn := "host=localhost user=postgres password=yourpassword dbname=testdb port=5432 sslmode=disable" db, err := gorm.Open(postgres.Open(dsn), &gorm.Config{}) if err != nil { log.Fatalf("failed to connect to database: %v", err) } // Auto migrate the models db.AutoMigrate(&models.User{}, &models.Book{}, &models.BorrowLog{}) h := handlers.Handler{DB: db} r := gin.Default() r.POST("/users", h.CreateUser) r.GET("/users/:id", h.GetUser) r.PUT("/users/:id", h.UpdateUser) r.DELETE("/users/:id", h.DeleteUser) r.Run(":8080") }
4. Integration Test (tests/integration_test.go)
Use Testify for setting up and asserting test results.
For database we can use a Dockerized PostgreSQL instance for testing purposes, which is isolated and can be quickly torn down after tests. Here’s how to set it up in Golang using testcontainers-go:
Install testcontainers-go:
go get github.com/testcontainers/testcontainers-go
Following is the integration_test.go file that sets up a PostgreSQL container for testing:
myapp/ |-- main.go |-- models/ | |-- models.go |-- handlers/ | |-- handlers.go |-- tests/ | |-- integration_test.go |-- go.mod |-- go.sum
Explanation
- SetupTestDB: Sets up a PostgreSQL database connection using GORM for testing.
- TestCreateUser: Sends a POST request to create a new user and asserts the response.
- TestGetUser: Retrieves a user by ID and checks that the data matches what was inserted.
-
TestUpdateUser:
- Creates a user and updates it using the PUT /users/:id endpoint.
- Asserts that the response status is 200 OK.
- Verifies that the user's details are updated in the response.
- Fetches the user from the database and confirms that the changes are persisted.
-
TestDeleteUser:
- Creates a user and deletes it using the DELETE /users/:id endpoint.
- Asserts that the response status is 200 OK and checks for a success message.
- Attempts to fetch the deleted user from the database to ensure the user no longer exists, asserting an error of gorm.ErrRecordNotFound.
- testcontainers-go: This library allows you to spin up Docker containers directly from your Go code. It's ideal for creating a temporary PostgreSQL instance for integration tests.
- setupTestDB: This function starts a PostgreSQL Docker container, connects to it using gorm, and sets up the database schema. It also ensures that the container is cleaned up after the tests are finished.
- defer postgresC.Terminate(ctx): Ensures that the PostgreSQL container is terminated after tests are done, simulating an in-memory approach.
- Dynamic Host and Port: Uses the container's dynamically allocated host and port for connecting to the database.
Running the Tests
Run the tests using:
myapp/ |-- main.go |-- models/ | |-- models.go |-- handlers/ | |-- handlers.go |-- tests/ | |-- integration_test.go |-- go.mod |-- go.sum
Benefits of Using testcontainers-go:
- Isolation: Each test run gets a fresh PostgreSQL instance, ensuring no data leakage between tests.
- Replicates Production Environment: Testing against a real PostgreSQL instance provides more reliable results than using an in-memory database.
- Automation: Automatically starts and stops the PostgreSQL container, making it easy to use in CI/CD pipelines.
Key Points
- Using a Test Database: It's a good practice to use a separate PostgreSQL database (ex: containerized ones) for testing to avoid affecting production data.
- Setup and Cleanup: Ensure to clean up the database between tests to maintain consistency.
- Testify: Provides powerful assertion methods for validating the results.
- Gin's Test Server: Uses httptest for simulating HTTP requests against the Gin server.
With this setup, you can test CRUD operations for a User model, ensuring the API works as expected with PostgreSQL. You can expand the tests similarly for Book and BorrowLog models.
The above is the detailed content of Golang Integration Test With Gin, Gorm, Testify, PostgreSQL. For more information, please follow other related articles on the PHP Chinese website!

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