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In Golang function testing, isolation is crucial to avoid interference between different tests. Solve the isolation problem by isolating global variables using subtables or simulating external dependencies using mock objects. The specific steps are: 1. Subtable: Create independent variable instances to avoid interference; 2. Mock: Create mock dependency stand-ins to isolate external dependencies.
Isolation issues in Golang function testing
Understanding issues
In Golang In function testing, isolation is a very important concept. Without isolation, tests can interfere with each other, leading to unreliable results.
Source of the problem: Global variables and state
Global variables and state are common causes of isolation problems. If multiple tests operate on the same global variable, they may overwrite each other, causing unexpected behavior.
Solution: Use subtables and mocks
To solve isolation problems, there are two common strategies: subtables and mocks.
Subtables
Subtables isolate global variables by creating their own instance of the variable for each test. This can be achieved by:
package mypkg // Global variable (not thread-safe) var counter int func Increment() int { counter++ return counter }
package mypkg_test import ( "testing" ) func TestIncrement(t *testing.T) { // Create a sub-table for each test case t.Run("first call", func(t *testing.T) { // Initialize a new table-local counter counter := 0 // Call the Increment function and assert the result result := mypkg.Increment() if result != 1 { t.Errorf("Expected 1, got %d", result) } }) t.Run("second call", func(t *testing.T) { // Initialize a new table-local counter counter := 0 // Call the Increment function and assert the result result := mypkg.Increment() if result != 2 { t.Errorf("Expected 2, got %d", result) } }) }
In this example, each test case has its own counter
variable instance, thus avoiding interference between them.
mock
Mock objects are stand-ins for mock functions and can be used to isolate external dependencies. This is useful for testing functions that depend on external services or databases.
package mypkg type Database interface { // ... }
package mypkg_test import ( "testing" "github.com/stretchr/testify/mock" ) type DatabaseMock struct { mock.Mock } // ... func TestMyFunction(t *testing.T) { // Create a mock database mockDB := &DatabaseMock{} // Setup mock expectations mockDB.On("Query", ...).Return(...) // Call the function under test with the mock database mypkg.MyFunction(mockDB) // Assert that the mock expectations were met mockDB.AssertExpectations(t) }
In this example, DatabaseMock
is a stand-in for the Database
interface, allowing us to simulate its behavior to isolate dependence on the actual database.
Practical Case
Consider the following function, which sends an email:
package email import ( "github.com/go-mail/mail" ) func SendEmail(smtpHost, smtpPort, senderEmail, senderPassword, recipientEmail, subject, body string) error { mail := mail.NewMessage() // ... smtpDialer := mail.NewDialer(smtpHost, smtpPort, senderEmail, senderPassword) return smtpDialer.DialAndSend(mail) }
To test this function without actually sending an email, we can Use mock objects to simulate mail.Dialer
:
package email_test import ( "testing" email "github.com/my-username/my-email-package" "github.com/stretchr/testify/mock" ) type DialerMock struct { mock.Mock } func (d *DialerMock) DialAndSend(mail *mail.Message) error { d.Called(mail) return nil } func TestSendEmail(t *testing.T) { // Create a mock dialer mockDialer := &DialerMock{} // Setup mock expectations mockDialer.On("DialAndSend", ...).Return(nil) // Call the function under test with the mock dialer result := email.SendEmail("", "", "", "", "", "", "") // Assert that mock expectations were met mockDialer.AssertExpectations(t) // Assert the result of the function under test if result != nil { t.Errorf("Expected nil error but got %v", result) } }
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