Arcanea Tdd

Test-Driven Development: The Arcanean Way

"The test is not a check. The test is a specification. Write the specification before the implementation, and the implementation reveals itself."

The TDD Philosophy

In Arcanea, we recognize that constraints liberate creativity. TDD embodies this principle perfectly:

CONSTRAINT: Write the test first
LIBERATION: The implementation becomes clear
CONSTRAINT: Make it fail first
LIBERATION: You know what success looks like
CONSTRAINT: Implement minimally
LIBERATION: No over-engineering
CONSTRAINT: Refactor with green tests
LIBERATION: Confidence to improve

The Sacred Cycle

         ╭──────────────────╮
         │    RED           │
         │  Write a test    │
         │  that fails      │
         ╰────────┬─────────╯
                  │
                  ▼
         ╭──────────────────╮
         │    GREEN         │
         │  Write minimum   │
         │  code to pass    │
         ╰────────┬─────────╯
                  │
                  ▼
         ╭──────────────────╮
         │   REFACTOR       │
         │  Improve code    │
         │  tests stay green│
         ╰────────┬─────────╯
                  │
                  ╰──────────────╮
                                 │
         ╭───────────────────────╯
         │
         ▼
    (Next test)

RED: The Failing Test

// Write a test for behavior that doesn't exist yet
describe('UserService', () => {
  it('should create a user with valid email', async () => {
    const service = new UserService();
    const user = await service.create({ email: 'test@example.com' });

    expect(user.id).toBeDefined();
    expect(user.email).toBe('test@example.com');
    expect(user.createdAt).toBeInstanceOf(Date);
  });
});

// Run the test - IT MUST FAIL
// This proves the test is testing something real

GREEN: The Minimal Implementation

// Write the MINIMUM code to make the test pass
// No more, no less
class UserService {
  async create(data: { email: string }) {
    return {
      id: crypto.randomUUID(),
      email: data.email,
      createdAt: new Date(),
    };
  }
}

// Run the test - IT MUST PASS

REFACTOR: Improve With Confidence

// Now improve the code
// The test protects you from breaking things
class UserService {
  private readonly users: Map<string, User> = new Map();

  async create(data: CreateUserInput): Promise<User> {
    const user = User.create(data);
    this.users.set(user.id, user);
    return user;
  }
}

// Run the test - IT MUST STILL PASS

The TDD Workflow

Step 1: Understand the Requirement

Before writing any code:
1. What is the feature/behavior?
2. What are the inputs?
3. What are the expected outputs?
4. What are the edge cases?

Step 2: Write the Test

The test describes the behavior you want:
- Given [initial state]
- When [action occurs]
- Then [expected result]

Step 3: Watch It Fail

Run the test and confirm:
- It fails for the RIGHT reason
- The error message makes sense
- You understand what's missing

Step 4: Write Minimal Code

Implement only what's needed to pass:
- No additional features
- No optimization
- No "while I'm here" improvements

Step 5: Watch It Pass

Run the test and confirm:
- It passes
- Other tests still pass
- You didn't break anything

Step 6: Refactor

Now improve the code:
- Extract functions
- Rename for clarity
- Optimize if needed
- Remove duplication

The tests protect you.

Step 7: Repeat

Next behavior → Next test → Next cycle

Test Categories

Unit Tests

Test individual units in isolation.

SCOPE: Single function, class, or module
SPEED: Milliseconds
DEPENDENCIES: Mocked/stubbed
WHEN: Every code change

Example:
it('should validate email format', () => {
  expect(isValidEmail('test@example.com')).toBe(true);
  expect(isValidEmail('not-an-email')).toBe(false);
});

Integration Tests

Test how units work together.

SCOPE: Multiple components interacting
SPEED: Seconds
DEPENDENCIES: Some real, some mocked
WHEN: Before commits

Example:
it('should save user to database', async () => {
  const user = await userService.create({ email: 'test@example.com' });
  const found = await userRepository.findById(user.id);
  expect(found).toEqual(user);
});

End-to-End Tests

Test complete user flows.

SCOPE: Entire application
SPEED: Seconds to minutes
DEPENDENCIES: Real systems
WHEN: Before release

Example:
it('should complete user registration flow', async () => {
  await page.goto('/register');
  await page.fill('input[name="email"]', 'test@example.com');
  await page.fill('input[name="password"]', 'SecurePass123!');
  await page.click('button[type="submit"]');
  await expect(page).toHaveURL('/dashboard');
});

Test Patterns

Arrange-Act-Assert (AAA)

it('should add items to cart', () => {
  // ARRANGE: Set up the test
  const cart = new ShoppingCart();
  const item = { id: '1', name: 'Widget', price: 9.99 };

  // ACT: Perform the action
  cart.addItem(item);

  // ASSERT: Verify the result
  expect(cart.items).toContain(item);
  expect(cart.total).toBe(9.99);
});

Given-When-Then (BDD Style)

describe('Shopping Cart', () => {
  describe('given an empty cart', () => {
    describe('when an item is added', () => {
      it('then the cart contains the item', () => {
        // ...
      });

      it('then the total reflects the item price', () => {
        // ...
      });
    });
  });
});

Test Fixtures

describe('UserService', () => {
  let service: UserService;
  let mockRepository: jest.Mocked<UserRepository>;

  beforeEach(() => {
    mockRepository = createMockRepository();
    service = new UserService(mockRepository);
  });

  afterEach(() => {
    jest.clearAllMocks();
  });

  // Tests use fresh fixtures each time
});

What to Test

The Testing Pyramid

           /\
          /  \
         / E2E \      (Few: Slow, expensive, broad)
        /______\
       /        \
      /Integration\   (Some: Medium speed, focused)
     /____________\
    /              \
   /   Unit Tests   \  (Many: Fast, cheap, specific)
  /__________________\

Behavior, Not Implementation

// BAD: Testing implementation details
it('should call repository.save with user object', () => {
  await service.createUser(userData);
  expect(repository.save).toHaveBeenCalledWith(expect.any(User));
});

// GOOD: Testing behavior
it('should persist user and return with id', async () => {
  const user = await service.createUser(userData);
  const found = await service.findById(user.id);
  expect(found).toEqual(user);
});

Edge Cases

describe('divide', () => {
  it('should divide two numbers', () => {
    expect(divide(10, 2)).toBe(5);
  });

  it('should throw on division by zero', () => {
    expect(() => divide(10, 0)).toThrow('Division by zero');
  });

  it('should handle negative numbers', () => {
    expect(divide(-10, 2)).toBe(-5);
  });

  it('should handle floating point', () => {
    expect(divide(1, 3)).toBeCloseTo(0.333, 2);
  });
});

Common Pitfalls

The Oracle Problem

PROBLEM: Tests that test themselves
EXAMPLE: expect(add(2, 2)).toBe(add(2, 2));
SOLUTION: Use concrete expected values

Test Pollution

PROBLEM: Tests depend on each other or shared state
SOLUTION: Each test creates its own fixtures, cleanup after

Over-Mocking

PROBLEM: Everything is mocked, testing mocks not reality
SOLUTION: Mock at boundaries, test real logic

Fragile Tests

PROBLEM: Tests break when implementation changes
SOLUTION: Test behavior, not implementation

Slow Tests

PROBLEM: Tests take too long, developers skip them
SOLUTION: Fast unit tests, fewer integration tests

TDD Tips

Start with the Simplest Test

Don't start with complex edge cases.
Start with the happy path.
Build complexity incrementally.

One Assertion Per Test (Usually)

Each test should verify one behavior.
Multiple assertions are okay if testing one logical thing.

Name Tests Clearly

WEAK: testUserCreate()
STRONG: should_create_user_with_valid_email()
         should_reject_user_with_invalid_email()
         should_assign_unique_id_to_new_user()

Delete Bad Tests

Tests that frequently break for wrong reasons
Tests that don't catch bugs
Tests that are hard to understand
DELETE THEM. Bad tests are worse than no tests.

Quick Reference

TDD Checklist

□ Test written before code
□ Test fails first
□ Error message is clear
□ Minimum code written to pass
□ All tests pass
□ Code refactored
□ Tests still pass
□ Tests are readable
□ Tests are fast
□ Tests don't depend on each other

Test Quality Criteria

□ Tests document behavior (can read to understand feature)
□ Tests catch bugs (when code breaks, tests fail)
□ Tests allow refactoring (can change implementation safely)
□ Tests run quickly (no excuse to skip them)
□ Tests are maintainable (easy to update when behavior changes)

"The test is the specification made executable. Write the specification first, and the implementation reveals itself."