Why use test doubles?
Test doubles help you write better unit tests. They do this by helping you isolate the behavior of the code you’re testing from the behavior of the components that code depends on.
Much of the time, the code you want to test will depend on other code—it has dependencies. Perhaps it gets some inputs from some data sources; perhaps it sends its outputs to some destinations. No matter how your code interacts with its dependencies, however, you want to make sure that its tests reflect only its behavior and not the behavior of its dependencies. And you want to avoid getting false positives or false negatives from your tests.
In other words, you want the code’s tests to pass or fail based only on the behavior of the code you’re testing, and not on the behavior of the other components it depends on.
This means you want test doubles. Test doubles are stand-ins—they get their name from the “stunt doubles” who stand in for the big-name actors in movies—and they allow you to control the inputs into your code and to inspect how your code interacts with them.
Consider the diagram below. Here, the code being tested gets data from two data sources, adds them together, and sends the output to another dependency.
When writing the tests for this code, we want to be able to control the inputs, so that we have predictable, known conditions under which we can test the code. For example, we might want to set things up such that when our code calls getX(), dataSourceA returns 3, and when our code calls getY(), dataSourceB returns 5. And we want to know that when our code calls setOutput(), it passes the value 8 to dependencyC.
Creating and injecting test doubles for dataSourceA, dataSourceB, and dependencyC allow us to do just this.
The five types of test doubles
There are five kinds of test doubles:
We’ll describe each one below and include an example to show how it might be used.
Dummy
What is it?
A dummy is a test double that throws an exception when a method on it is invoked.
When do I use it?
A dummy is used to ensure that a particular piece of code is not executed under the conditions of the test. You might use this to test some branching logic.
Example
Suppose you were testing the following code:
function someFunction() {
if (someCondition) {
this.dependencyA.methodA();
} else {
this.dependencyB.methodB();
}
}
As you can see, if someCondition is true, dependencyA.methodA() should get called, and also dependencyB.methodB() should not get called. So when writing the test for when someCondition is true, you might inject a dummy for dependencyB, on the grounds that if it gets called, it will throw an exception and the test will fail.
Stub
What is it?
A stub is a test double that returns pre-configured, hard-coded data when its methods are called.
When do I use it?
You use a stub to ensure that the code you’re testing has known, predictable data on which to operate.
Example
Consider this scenario: You want to write a test for a function called compute401KContribution(). It gets the monthly income from the payroll dependency and the employee’s contribution percentage from their settings, and it multiplies those two numbers to return that month’s 401K contribution.
So you write this test:
describe("compute401KContribution", () => {
it("returns the monthly 401K contribution", () => {
const benefitManager = new BenefitManager(payroll, settings);
expect(benefitManager.compute401KContribution()).toEqual(480);
});
});
Why do you expect the function to return 480? That number only makes sense if you know in advance what the monthly payroll and employee settings are.
So you might stub each of those dependencies:
describe("compute401KContribution", () => {
it("returns the monthly 401K contribution", () => {
stubPayrollToReturnMonthlyIncome(4000);
stubSettingsToReturn401ContributionPercentage(0.12);
const benefitManager = new BenefitManager(payroll, settings);
expect(benefitManager.compute401KContribution()).toEqual(480);
});
});
Now you know that the payroll dependency will return 4000 for the monthly income and the settings will return 0.12 for the contribution percentage. So now you can be assured that the compute401KContribution() function should multiply those two values together and return 480.
Notes
- In order for a stub to be useful, you have to set it up with the hard-coded data it will return before the code being tested executes. This is because the code being tested has to be able to retrieve the hard-coded data from the stub when it executes, so the stub needs to have that data ready.
Spy
What is it?
A spy is a test double that records the invocations of its methods, along with any parameters passed in, so that you can find out afterward whether and how its methods were called.
When do I use it?
You use a spy when you want to be sure that, under the conditions of your test, a certain dependency got called, and with certain parameters.
Example
Suppose you’re writing a test for a user onboarding flow, and when the user successfully completes their onboarding, they should receive a welcome email. You have a separate dependency EmailManager that has a method send() on it, and you’ll use this to send the email.
You might write a test like this:
describe("when the user completes onboarding", () => {
it("sends a welcome email to their address", () => {
const emailManagerSpy = new EmailManagerSpy();
const onboardingFlow = new OnboardingFlow(emailManagerSpy);
onboardingFlow.complete();
expect(emailManagerSpy.send).toHaveBeenCalledWith("[email protected]", "Welcome!");
});
})
Notes:
- In order to be useful, you have to wait to ask a spy if its methods got called until after the code being tested has executed. This is because the code being tested is the code that calls the methods on the spy in the first place, so until that code executes, the methods haven’t yet been called.
- Some testing frameworks and/or testing tools have built-in support for spies, in which case you don’t have to write them yourself. But writing a spy isn’t that difficult, and you might prefer to write your own.
Mock
What is it?
A mock is a combination of stub and spy, i.e., a test double that allows you to control the data it returns while also recording the calls made to it so that you can check that it was called with the correct parameters.
When do I use it?
You use a mock for situations where you want to both control the data returned by a method and also confirm that the method was called with the correct values as arguments.
Example
Take the user onboarding flow above, and suppose the send method on the emailManager returns a Boolean value that lets you know the email was sent successfully. When you test the onboarding flow, you want to know that send() got called with the correct email address and subject header, and you also want to control its return value so that you can write a predictable test for the rest of your onboarding flow.
You might use a mock like this:
describe("when the user completes onboarding", () => {
it("an welcome email is sent to their address", () => {
const emailManagerMock = new EmailManagerMock();
// jest does not support this syntax; I'm using it here for illustration purposes only
when(emailManagerMock).isCalledWith("[email protected]", "Welcome!").thenReturn("true");
const onboardingFlow = new OnboardingFlow(emailManagerSpy);
onboardingFlow.complete();
emailManagerMock.verify();
});
})
In this example, emailManagerMock is doing a bunch of things. It’s acting as a spy, recording its invocations so that you can know that it receives send() with the correct email address and subject header. It also acts as a stub, returning hard-coded true value, so that in your test, you can assume that your onboarding function can proceed.
Notice the verify() method. It checks to make sure that the send() method not only got called, but got called with the parameters you expect.
Remember that in order to be useful, you have to stub send() to return true before the onboardingFlow.complete() executes, but you have to wait until after it executes to check whether send() received the correct email and subject header. A mock allows you to stub the hard-coded return value in advance, while giving you a method—verify()—to call afterward to confirm that it received the expected method invocations.
Fake
What is it?
A fake is a test double that has the same business-logic behavior as the real component it’s doubling, but using a simplified implementation. Because it has behavior, fakes must themselves be tested, and ideally, tested using the same test cases as those used for the real component.
When do I use it?
Most commonly, you’ll use a fake for stateful components. A typical example is a database-backed service.
Example
Let’s say you’re writing a test for an Accountant class:
class Accountant {
private bankAccount: BankAccount;
private taxCalculator: TaxCalculator;
private clientNotifier: ClientNotifier
constructor(bankAccount: BankAccount, taxCalculator: TaxCalculator, clientNofifier: ClientNotifier) {
this.bankAccount = bankAccount;
this.taxCalculator = taxCalculator;
this.clientNotifier = clientNotifier;
}
public fileTaxes() {
const accountBalance = this.bankAccount.getBalance();
const refund = this.taxCalculator.getRefund();
if (refund > 0) {
this.bankAccount.deposit(refund);
} else {
const amountClientOwes = this.taxCalculator.amountClientOwes();
if (accountBalance > amountClientOwes) {
this.bankAccount.withdraw(amountClientOwes);
} else {
// uh-oh
}
}
const updatedBalance = this.bankAccount.getBalance();
this.clientNotifier.notifyClientOfUpdatedAccountBalance(updatedBalance);
}
}
This class Accountant takes an instance of BankAccount as a dependency. BankAccount is an interface that looks like this:
interface BankAccount {
getBalance(): number;
deposit(amount: number): void;
withdraw(amount: number): void;
}
When you write the tests for Accountant, obviously you won’t want to inject an instance of a client’s real bank account. So you’ll want to use a test double. You might write a test like this:
describe("doing the taxes", () => {
let accountant: Accountant;
let bankAccount: BankAccountTestDouble;
let taxCalculatorStub: TaxCalculatorStub;
let clientNotifierSpy: ClientNotifierSpy;
beforeEach(() => {
bankAccount = new BankAccountTestDouble();
taxCalculatorStub = new TaxCalculatorStub();
clientNotifierSpy = new ClientNotifierSpy();
accountant = new Accountant(bankAccount, taxCalculatorStub, clientNotifierSpy);
});
describe("when the client gets a refund", () => {
beforeEach(() => {
expect(bankAccount.getBalance()).toEqual(1000);
taxCalculatorStub.stubRefund(500);
accountant.fileTaxes();
});
it("deposits the refund in the bank account", () => {
expect(bankAccount.getBalance()).toEqual(1500);
});
it("notifies the client of their updated account balance", () => {
expect(clientNotifierSpy.notifyClientOfUpdatedAccountBalance).toHaveBeenCalledWith(1500);
});
});
describe("when the client owes taxes", () => {
beforeEach(() => {
expect(bankAccount.getBalance()).toEqual(1000);
taxCalculatorStub.stubRefund(0);
taxCalculatorStub.stubAmountClientOwes(300);
});
it("withdraws the amount the client owes from the bank account", () => {
expect(bankAccount.getBalance()).toEqual(700);
});
it("notifies the client of their updated account balance", () => {
expect(clientNotifierSpy.notifyClientOfUpdatedAccountBalance).toHaveBeenCalledWith(700);
});
});
});
Which test double should you use for BankAccount?
- Not a dummy, of course. No matter which code path you’re testing, you’ll want to be able to call
getBalance()without throwing an exception. - The problem with using a stub is that
getBalance()will return a different value at the beginning of the method than at the end. A stub only allows you to configure it to return a hard-coded piece of data, not one that can change along the way. - You could use a spy to ensure that
deposit()orwithdraw()are called with the correct amount, but that doesn’t resolve the problem with stubbinggetBalance(). - The problem with a mock is the same as the problem with a stub.
In fact, the problem with using any of these test doubles with BankAccount is that BankAccount has stateful behavior, i.e., that getBalance() will return different amounts depending on the other methods—deposit() and/or withdraw()—that get called. We need to make sure that whatever test double we use for BankAccount in our Accountant tests, that test double behaves like a BankAccount.
What does it mean to behave like a BankAccount?
For a moment, let’s turn our attention away from testing Accountant and instead focus on the behavior we want for BankAccount. We expect a bank account to behave like this:
- It has a way to get the current balance.
- If an amount is deposited, then the balance increases to reflect the deposited amount.
- If an amount is withdrawn, then the balance decreases to reflect the withdrawn amount.
We can encapsulate this behavior in a test:
function testBankAccount(createBankAccount: () => BankAccount) {
describe("BankAccount", () => {
let bankAccount: BankAccount;
describe("when a new bank account is created", () => {
beforeEach(() => {
bankAccount = createBankAccount();
});
it("starts with a zero balance", () => {
expect(bankAccount.getBalance()).toEqual(0);
});
describe("when money is deposited", () => {
it("updates the account balance to reflect the amount deposited", () => {
bankAccount.deposit(1000);
expect(bankAccount.getBalance()).toEqual(1000);
});
describe("when money is withdrawn", () => {
it("updates the account balance to reflect the amount withdrawn", () => {
bankAccount.withdraw(250);
expect(bankAccount.getBalance()).toEqual(750);
});
});
});
});
});
}
Notice that testBankAccount has no opinions as to what kind of BankAccount it is testing, only that the BankAccount it receives implements the BankAccount interface. As far as Accountant is concerned, any instance of BankAccount that has the behavior described in the BankAccount test will serve its purposes. If we can create a BankAccount implementation that has the stateful behavior described by testBankAccount, we can use it in our Accountant tests.
It’s worth emphasizing this point: “To behave like a BankAccount” means precisely “to pass the BankAccount tests”.
Any class, in other words, that passes the tests described in testBankAccount can be said to behave like a BankAccount. This means we can have two different implementations of BankAccount, one real and one fake:
RealBankAccount
class RealBankAccount implements BankAccount {
private dbConnection: DBConnection;
constructor(dbConnection: DBConnection) {
this.dbConnection = dbConnection;
}
public getBalance(): number {
// use dbConnection to connect to database
// perform SQL query to get balance
// close dbConnection
// return balance
}
public deposit(amount: number): void {
// use dbConnection to connect to database
// perform SQL query to update balance
// close dbConnection
}
public withdraw(amount: number): void {
// use dbConnection to connect to database
// perform SQL query to update balance
// close dbConnection
}
}
FakeBankAccount
class FakeBankAccount implements BankAccount {
private balance: number = 0;
public getBalance(): number {
return this.balance;
}
public deposit(amount: number): void {
balance += amount;
}
public withdraw(amount: number): void {
balance -= amount;
}
}
FakeBankAccount obviously doesn’t behave exactly the same as RealBankAccount. In particular, RealBankAccount opens and closes database connections and performs SQL queries, while FakeBankAccount merely holds a balance in memory.
But remember: As far as Accountant is concerned, “behaves like a BankAccount” means precisely “passes the BankAccount tests”. By this definition, how can we be assured that FakeBankAccount behaves the same as RealBankAccount?
Like this:
testBankAccount(() => new RealBankAccount());
testBankAccount(() => new FakeBankAccount());
FakeBankAccount will pass these tests, even though it uses only an in-memory balance variable. But Accountant doesn’t care about that—as far as Accountant is concerned, FakeBankAccount is every bit as real as RealBankAccount. And so we can use FakeBankAccount in place of RealBankAccount in the tests for Accountant.
Why do we need to test FakeBankAccount at all?
Because it’s all too easy for us to create a poorly behaving fake. Consider this one:
class BadBankAccount implements BankAccount {
public getBalance() {
return 0;
}
public deposit(amount: number) {
}
public withdraw(amount: number) {
}
}
Clearly, we wouldn’t want to use BadBankAccount in our Accountant tests. If we did, those tests would never pass, because getBalance() would always return 0, every time.
BadBankAccount correctly implements the BankAccount interface, but implementing the interface isn’t enough to make it usable in our Accountant tests. For the BankAccount test double to be useful, it needs to have the stateful behavior that we expect of a BankAccount. We don’t actually care how it implements that stateful behavior, only that it does so correctly. So we write a test for the stateful behavior, and we expect that even our test doubles can pass those tests.
