testing-core

name	testing-core
description	Cross-language testing patterns: unit, integration, E2E testing strategies. Use when: writing tests, setting up test infrastructure, or improving coverage. Triggers: "test", "testing", "unit test", "integration test", "e2e", "coverage", "mock", "fixture".

Testing Core

Quick Reference

Topic	Reference
Mocking	mocking.md — Python, TypeScript, Rust mocking patterns

Test Pyramid

        /  E2E  \        Few, slow, expensive
       /─────────\
      / Integration \    Some, medium speed
     /───────────────\
    /      Unit        \  Many, fast, cheap
   /─────────────────────\

When to Use Each

Type	Tests What	Speed	When
Unit	Single function/class	Fast	Pure logic, calculations
Integration	Components together	Medium	DB queries, API calls
E2E	Full user flow	Slow	Critical paths only

Test Structure (AAA)

def test_user_creation():
    # Arrange - Setup test data
    user_data = {"email": "[e-mail]", "name": "Test"}

    # Act - Execute the code
    user = user_service.create(user_data)

    # Assert - Verify results
    assert user.email == "[e-mail]"
    assert user.id is not None

Naming Convention

test_<what>_<scenario>_<expected>

# Examples:
test_create_user_valid_data_returns_user()
test_create_user_duplicate_email_raises_error()
test_get_user_not_found_returns_none()

Unit Test Patterns

Testing Pure Functions

# Function
def calculate_discount(price: float, percentage: float) -> float:
    return price * (1 - percentage / 100)

# Test
def test_calculate_discount():
    assert calculate_discount(100, 10) == 90
    assert calculate_discount(50, 50) == 25
    assert calculate_discount(100, 0) == 100

Testing Edge Cases

@pytest.mark.parametrize("input,expected", [
    ("", False),           # Empty
    ("a@b.c", True),       # Minimal valid
    ("[e-mail]", True),
    ("invalid", False),    # No @
    ("@example.com", False), # No local part
    ("test@", False),      # No domain
])
def test_validate_email(input, expected):
    assert validate_email(input) == expected

Testing Exceptions

def test_divide_by_zero_raises():
    with pytest.raises(ZeroDivisionError):
        divide(10, 0)

def test_invalid_input_raises_with_message():
    with pytest.raises(ValueError) as exc_info:
        process_data(None)
    assert "cannot be None" in str(exc_info.value)

Integration Test Patterns

Database Tests

@pytest.fixture
async def db_session():
    # Setup
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.create_all)

    async with AsyncSession(engine) as session:
        yield session

    # Teardown
    async with engine.begin() as conn:
        await conn.run_sync(Base.metadata.drop_all)

async def test_create_and_fetch_user(db_session):
    # Create
    user = User(email="[e-mail]", name="Test")
    db_session.add(user)
    await db_session.commit()

    # Fetch
    result = await db_session.get(User, user.id)
    assert result.email == "[e-mail]"

API Tests

async def test_api_create_user(client):
    response = await client.post(
        "/users",
        json={"email": "[e-mail]", "name": "Test"}
    )

    assert response.status_code == 201
    data = response.json()
    assert data["email"] == "[e-mail]"
    assert "id" in data

Mocking Patterns

When to Mock

Mock:
├─ External APIs (payment, email, SMS)
├─ Time/dates (for deterministic tests)
├─ Random values
└─ Slow operations

Don't Mock:
├─ The code you're testing
├─ Simple data structures
└─ Things you can use real instances of

Mock Examples

# Python
from unittest.mock import Mock, patch, AsyncMock

@patch("services.email.send_email")
def test_signup_sends_email(mock_send):
    mock_send.return_value = True
    signup("[e-mail]")
    mock_send.assert_called_once_with("[e-mail]", subject=ANY)

# Async mock
@patch("services.payment.charge", new_callable=AsyncMock)
async def test_checkout(mock_charge):
    mock_charge.return_value = {"id": "ch_123"}
    result = await checkout(cart)
    assert result.payment_id == "ch_123"

// TypeScript (Vitest)
import { vi } from 'vitest';

vi.mock('./email', () => ({
  sendEmail: vi.fn().mockResolvedValue(true)
}));

test('signup sends email', async () => {
  await signup('[e-mail]');
  expect(sendEmail).toHaveBeenCalledWith('[e-mail]', expect.any(String));
});

Fixtures & Factories

Fixture Pattern

@pytest.fixture
def user():
    return User(id=1, email="[e-mail]", name="Test")

@pytest.fixture
def admin_user(user):
    user.role = "admin"
    return user

def test_with_fixtures(user, admin_user):
    assert user.role != "admin"
    assert admin_user.role == "admin"

Factory Pattern

def create_user(**overrides):
    defaults = {
        "email": f"test-{uuid4()}@example.com",
        "name": "Test User",
        "role": "user"
    }
    return User(**{**defaults, **overrides})

def test_with_factory():
    user = create_user(role="admin")
    assert user.role == "admin"

Coverage Goals

Type	Target	Notes
Unit tests	80%+	Focus on logic
Integration	Key paths	DB operations, APIs
E2E	Critical flows	Signup, checkout

What NOT to Test

• Framework code (it's already tested)
• Trivial getters/setters
• Third-party libraries
• Generated code

Anti-patterns

Don't	Do Instead
Test implementation details	Test behavior
Duplicate prod logic in tests	Use different approach
Flaky tests	Fix or delete
Test everything	Test what matters
Mock everything	Use real when possible
Giant test functions	Small, focused tests