Agent skill

testing-patterns

Software testing patterns, strategies, and best practices. Use when writing tests, discussing test architecture, mocking, fixtures, or test organization. Triggers on mentions of testing, unit tests, integration tests, pytest, jest, mocking, fixtures, TDD, test coverage.

Stars 0
Forks 0

Install this agent skill to your Project

npx add-skill https://github.com/eous/dotclaude/tree/main/skills/testing-patterns

SKILL.md

Testing Patterns and Best Practices

Test Structure

Arrange-Act-Assert (AAA)

python
def test_user_creation():
    # Arrange
    name = "Alice"
    email = "alice@example.com"

    # Act
    user = User.create(name=name, email=email)

    # Assert
    assert user.name == name
    assert user.email == email
    assert user.id is not None

Given-When-Then (BDD)

python
def test_order_total_with_discount():
    # Given a cart with items and a discount code
    cart = Cart()
    cart.add_item(Product("Widget", 100))
    cart.apply_discount("SAVE10")

    # When calculating the total
    total = cart.calculate_total()

    # Then the discount is applied
    assert total == 90

Test Types

Unit Tests

python
# Test single units in isolation
def test_email_validation():
    assert is_valid_email("user@example.com") is True
    assert is_valid_email("invalid") is False
    assert is_valid_email("") is False

Integration Tests

python
# Test component interactions
@pytest.mark.integration
def test_user_repository_saves_to_database(db_session):
    repo = UserRepository(db_session)
    user = User(name="Alice", email="alice@test.com")

    repo.save(user)

    saved_user = repo.find_by_email("alice@test.com")
    assert saved_user.name == "Alice"

End-to-End Tests

python
# Test complete workflows
@pytest.mark.e2e
def test_checkout_flow(browser, test_server):
    browser.goto("/products")
    browser.click("Add to Cart")
    browser.goto("/checkout")
    browser.fill("email", "test@example.com")
    browser.click("Place Order")

    assert "Order confirmed" in browser.content()

Fixtures and Setup

Pytest Fixtures

python
@pytest.fixture
def user():
    return User(name="Test User", email="test@example.com")

@pytest.fixture
def db_session():
    session = create_test_session()
    yield session
    session.rollback()
    session.close()

@pytest.fixture(scope="module")
def test_client():
    app = create_app(testing=True)
    with app.test_client() as client:
        yield client

Factory Pattern

python
class UserFactory:
    @staticmethod
    def create(**kwargs):
        defaults = {
            "name": "Test User",
            "email": f"user{uuid4().hex[:8]}@test.com",
            "active": True,
        }
        defaults.update(kwargs)
        return User(**defaults)

def test_inactive_user():
    user = UserFactory.create(active=False)
    assert user.can_login() is False

Mocking

Mock External Dependencies

python
from unittest.mock import Mock, patch

def test_payment_processing():
    # Mock the payment gateway
    mock_gateway = Mock()
    mock_gateway.charge.return_value = {"status": "success", "id": "txn_123"}

    processor = PaymentProcessor(gateway=mock_gateway)
    result = processor.process_payment(amount=100)

    assert result.success is True
    mock_gateway.charge.assert_called_once_with(100)

Patch Module Dependencies

python
@patch("myapp.services.requests.post")
def test_api_call(mock_post):
    mock_post.return_value.json.return_value = {"data": "value"}
    mock_post.return_value.status_code = 200

    result = fetch_data()

    assert result == {"data": "value"}

Context Manager

python
def test_time_dependent_function():
    with patch("myapp.utils.datetime") as mock_datetime:
        mock_datetime.now.return_value = datetime(2024, 1, 15, 12, 0, 0)

        result = get_greeting()

        assert result == "Good afternoon"

Test Organization

File Structure

tests/
├── unit/
│   ├── test_user.py
│   ├── test_order.py
│   └── test_utils.py
├── integration/
│   ├── test_user_repository.py
│   └── test_api_endpoints.py
├── e2e/
│   └── test_checkout_flow.py
├── conftest.py
└── factories.py

Naming Conventions

python
# test_<module>.py
# test_<feature>_<scenario>

def test_user_creation_with_valid_email():
    pass

def test_user_creation_fails_with_invalid_email():
    pass

def test_order_total_includes_tax():
    pass

def test_order_total_excludes_tax_for_exempt_users():
    pass

Parameterized Tests

Multiple Inputs

python
@pytest.mark.parametrize("input,expected", [
    ("hello", "HELLO"),
    ("world", "WORLD"),
    ("", ""),
    ("MixedCase", "MIXEDCASE"),
])
def test_uppercase(input, expected):
    assert uppercase(input) == expected

Edge Cases

python
@pytest.mark.parametrize("value,expected_valid", [
    (0, True),
    (-1, False),
    (100, True),
    (101, False),
    (None, False),
])
def test_age_validation(value, expected_valid):
    assert is_valid_age(value) == expected_valid

Test Doubles

Types

python
# Dummy - passed but never used
def test_with_dummy():
    dummy_logger = None
    service = Service(logger=dummy_logger)

# Stub - returns canned answers
stub_repo = Mock()
stub_repo.find.return_value = User(name="Test")

# Spy - records calls
spy = Mock(wraps=real_object)

# Mock - pre-programmed expectations
mock_email = Mock()
mock_email.send.return_value = True

# Fake - working implementation (simplified)
class FakeRepository:
    def __init__(self):
        self._data = {}

    def save(self, obj):
        self._data[obj.id] = obj

    def find(self, id):
        return self._data.get(id)

Async Testing

Pytest-asyncio

python
@pytest.mark.asyncio
async def test_async_fetch():
    result = await fetch_data()
    assert result is not None

@pytest.fixture
async def async_client():
    async with AsyncClient(app, base_url="http://test") as client:
        yield client

@pytest.mark.asyncio
async def test_api_endpoint(async_client):
    response = await async_client.get("/users")
    assert response.status_code == 200

Test Quality

Coverage

bash
pytest --cov=myapp --cov-report=html

Mutation Testing

bash
mutmut run --paths-to-mutate=myapp/

Property-Based Testing

python
from hypothesis import given, strategies as st

@given(st.lists(st.integers()))
def test_sort_preserves_length(lst):
    assert len(sorted(lst)) == len(lst)

@given(st.lists(st.integers()))
def test_sort_idempotent(lst):
    assert sorted(sorted(lst)) == sorted(lst)

Anti-Patterns to Avoid

  • Testing implementation details
  • Tests that depend on order
  • Slow unit tests (> 100ms each)
  • Not testing edge cases
  • Over-mocking (testing mocks, not code)
  • Flaky tests (non-deterministic)
  • Duplicate test setup
  • Missing assertions
  • Testing private methods directly
  • Ignoring test failures

Expand your agent's capabilities with these related and highly-rated skills.

eous/dotclaude

typescript-best-practices

TypeScript development best practices, patterns, and conventions. Use when writing TypeScript code, reviewing .ts/.tsx files, discussing type safety, generics, utility types, or TypeScript project configuration. Triggers on mentions of TypeScript, tsconfig, type inference, generics, discriminated unions, React TypeScript.

0 0
Explore
eous/dotclaude

api-design

REST and GraphQL API design patterns, best practices, and conventions. Use when designing APIs, discussing HTTP methods, status codes, versioning, or API documentation. Triggers on mentions of REST, API, GraphQL, endpoint, HTTP methods, OpenAPI, swagger, API versioning.

0 0
Explore
eous/dotclaude

security-checklist

Application security best practices and vulnerability prevention. Use when reviewing code for security issues, implementing authentication, or discussing OWASP vulnerabilities. Triggers on mentions of security, authentication, authorization, XSS, SQL injection, CSRF, OWASP, encryption, secrets.

0 0
Explore
eous/dotclaude

python-best-practices

Python development best practices, patterns, and conventions. Use when writing Python code, reviewing .py files, discussing pytest, asyncio, type hints, pydantic, dataclasses, or Python project structure. Triggers on mentions of Python, pytest, mypy, ruff, black, FastAPI, Django, Flask.

0 0
Explore
eous/dotclaude

memory-generator

Generate CLAUDE.md project memory files by exploring codebases. Use when user asks to "generate memory", "create CLAUDE.md", "document this project", "understand this codebase", or starts work on a new/unfamiliar repository. Triggers on new project onboarding and documentation requests.

0 0
Explore
eous/dotclaude

go-best-practices

Go development best practices, patterns, and conventions. Use when writing Go code, reviewing .go files, discussing goroutines, channels, error handling, or Go project structure. Triggers on mentions of Go, Golang, goroutines, channels, defer, interfaces, go mod.

0 0
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results