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Testing Patterns

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Unit, integration, and E2E testing patterns with framework-specific guidance. Use when asked to "write tests", "add test coverage", "testing strategy", "test this function", "create test suite", "fix flaky tests", or "improve test quality".

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# Testing Patterns

> Write tests that catch bugs, not tests that pass. — Confidence through coverage, speed through isolation.

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Testing Pyramid

| Level | Ratio | Speed | Cost | Confidence | Scope | |-------|-------|-------|------|------------|-------| | Unit | ~70% | ms | Low | Low (isolated) | Single function/class | | Integration | ~20% | seconds | Medium | Medium | Module boundaries, APIs, DB | | E2E | ~10% | minutes | High | High (realistic) | Full user workflows |

> Rule: If your E2E tests outnumber your unit tests, invert the pyramid.

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Unit Testing Patterns

Core Patterns

| Pattern | When to Use | Structure | |---------|------------|-----------| | Arrange-Act-Assert | Default for all unit tests | Setup, Execute, Verify | | Given-When-Then | BDD-style, behavior-focused | Precondition, Action, Outcome | | Parameterized | Same logic, multiple inputs | Data-driven test cases | | Snapshot | UI components, serialized output | Compare against saved baseline | | Property-Based | Mathematical invariants | Generate random inputs, assert properties |

Arrange-Act-Assert (AAA)

The default structure for every unit test. Clear separation of setup, execution, and verification makes tests readable and maintainable.

```typescript // Clean AAA structure test('calculates order total with tax', () => { // Arrange const items = [{ price: 10, qty: 2 }, { price: 5, qty: 1 }]; const taxRate = 0.08;

// Act const total = calculateTotal(items, taxRate);

// Assert expect(total).toBe(27.0); }); ```

Test Doubles

Use the right type of test double for the situation. Each serves a different purpose.

| Double | Purpose | When to Use | Example | |--------|---------|-------------|---------| | Stub | Returns canned data | Control indirect input | `jest.fn().mockReturnValue(42)` | | Mock | Verifies interactions | Assert something was called | `expect(mock).toHaveBeenCalledWith('arg')` | | Spy | Wraps real implementation | Observe without replacing | `jest.spyOn(service, 'save')` | | Fake | Working simplified impl | Need realistic behavior | In-memory database, fake HTTP server |

```typescript // Stub — control indirect input const getUser = jest.fn().mockResolvedValue({ id: 1, name: 'Alice' });

// Spy — observe without replacing const spy = jest.spyOn(logger, 'warn'); processInvalidInput(data); expect(spy).toHaveBeenCalledWith('Invalid input received');

// Fake — lightweight substitute class FakeUserRepo implements UserRepository { private users = new Map<string, User>(); async save(user: User) { this.users.set(user.id, user); } async findById(id: string) { return this.users.get(id) ?? null; } } ```

Parameterized Tests

Use parameterized tests when the same logic needs verification with multiple inputs. This eliminates copy-paste tests while providing comprehensive coverage.

```typescript // Vitest/Jest test.each([ ['hello', 'HELLO'], ['world', 'WORLD'], ['', ''], ['123abc', '123ABC'], ])('toUpperCase(%s) returns %s', (input, expected) => { expect(input.toUpperCase()).toBe(expected); }); ```

```python # pytest @pytest.mark.parametrize("input,expected", [ ("hello", "HELLO"), ("world", "WORLD"), ("", ""), ]) def test_to_upper(input, expected): assert input.upper() == expected ```

```go // Go — table-driven tests (idiomatic) func TestAdd(t *testing.T) { tests := []struct { name string a, b int expected int }{ {"positive", 2, 3, 5}, {"zero", 0, 0, 0}, {"negative", -1, -2, -3}, } for _, tc := range tests { t.Run(tc.name, func(t *testing.T) { if got := Add(tc.a, tc.b); got != tc.expected { t.Errorf("Add(%d,%d) = %d, want %d", tc.a, tc.b, got, tc.expected) } }) } } ```

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Integration Testing Patterns

Database Testing Strategies

| Strategy | Approach | Trade-off | |----------|----------|-----------| | Transaction rollback | Wrap each test in a transaction, rollback after | Fast, but hides commit bugs | | Fixtures/seeds | Load known data before suite | Predictable, but brittle if schema changes | | Factory functions | Generate data programmatically | Flexible, but more setup code | | Testcontainers | Spin up real DB in Docker | Realistic, but slower startup |

```typescript // Transaction rollback pattern (Prisma) beforeEach(async () => { await prisma.$executeRaw`BEGIN`; }); afterEach(async () => { await prisma.$executeRaw`ROLLBACK`; });

test('creates user in database', async () => { const user = await createUser({ name: 'Alice', email: '[email protected]' }); const found = await prisma.user.findUnique({ where: { id: user.id } }); expect(found?.name).toBe('Alice'); }); ```

API Testing

```typescript // Supertest (Node.js) import request from 'supertest'; import { app } from '../src/app';

describe('POST /api/users', () => { it('creates a user and returns 201', async () => { const res = await request(app) .post('/api/users') .send({ name: 'Alice', email: '[email protected]' }) .expect(201);

expect(res.body).toMatchObject({ id: expect.any(String), name: 'Alice', }); });

it('returns 400 for invalid email', async () => { await request(app) .post('/api/users') .send({ name: 'Alice', email: 'not-an-email' }) .expect(400); }); }); ```

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Mocking Best Practices

Mock Boundaries, Not Implementations

The fundamental rule: mock at system boundaries (external APIs, databases, file systems) and never mock internal domain logic.

```typescript // BAD — mocking internal implementation jest.mock('./utils/formatDate'); // Breaks on refactor

// GOOD — mocking external boundary jest.mock('./services/paymentGateway'); // Third-party API is the boundary ```

When to Mock vs Not Mock

| Mock | Don't Mock | |------|-----------| | HTTP APIs, external services | Pure functions | | Database (in unit tests) | Your own domain logic | | File system, network | Data transformations | | Time/Date (`Date.now`) | Simple calculations | | Environment variables | Internal class methods |

Dependency Injection for Testability

Structure code so dependencies can be swapped in tests. This is the single most impactful pattern for testable code.

```typescript // Injectable dependencies — easy to test class OrderService { constructor( private paymentGateway: PaymentGateway, private inventory: InventoryService, private notifier: NotificationService, ) {}

async placeOrder(order: Order): Promise<OrderResult> { const stock = await this.inventory.check(order.items); if (!stock.available) return { status: 'out_of_stock' };

const payment = await this.paymentGateway.charge(order.total); if (!payment.success) return { status: 'payment_failed' };

await this.notifier.send(order.userId, 'Order confirmed'); return { status: 'confirmed', id: payment.transactionId }; } }

// In tests — inject fakes const service = new OrderService( new FakePaymentGateway(), new FakeInventory({ available: true }), new FakeNotifier(), ); ```

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Framework Quick Reference

| Framework | Language | Type | Test Runner | Assertion | |-----------|----------|------|-------------|-----------| | Jest | JS/TS | Unit/Integration | Built-in | `expect()` | | Vitest | JS/TS | Unit/Integration | Vite-native | `expect()` (Jest-compatible) | | Playwright | JS/TS/Python | E2E | Built-in | `expect()` / locators | | Cypress | JS/TS | E2E | Built-in | `cy.should()` | | pytest | Python | Unit/Integration | Built-in | `assert` | | Go testing | Go | Unit/Integration | `go test` | `t.Error()` / testify | | Rust | Rust | Unit/Integration | `cargo test` | `assert!()` / `assert_eq!()` | | JUnit 5 | Java/Kotlin | Unit/Integration | Built-in | `assertEquals()` | | RSpec | Ruby | Unit/Integration | Built-in | `expect().to` | | PHPUnit | PHP | Unit/Integration | Built-in | `$this->assert*()` | | xUnit | C# | Unit/Integration | Built-in | `Assert.Equal()` |

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Test Quality Checklist

| Quality | Rule | Why | |---------|------|-----| | Deterministic | Same input produces same result, every time | Flaky tests erode trust | | Isolated | No shared mutable state between tests | Order-dependent tests break in CI | | Fast | Unit: < 10ms, Integration: < 1s, E2E: < 30s | Slow tests don't get run | | Readable | Test name describes the scenario and expectation | Tests are documentation | | Maintainable | Change one behavior, change one test | Brittle tests slow development | | Focused | One logical assertion per test | Failures pinpoint the problem |

> Naming convention: `test_[unit]_[scenario]_[expected result]` or `should [do X] when [condition Y]`

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Coverage Strategy

When to Aim for What

| Target | When | Rationale | |--------|------|-----------| | 80%+ line coverage | Business logic, utilities, core domain | High ROI — catches most regressions | | 90%+ branch coverage | Payment processing, auth, security-critical | Edge cases matter here | | 100% coverage | Almost never — diminishing returns | Getter/setter tests add noise, not confidence | | Mutation testing | Critical paths after coverage is high | Verifies tests actually catch bugs |

What NOT to Test

| Skip | Reason | |------|--------| | Generated code (Prisma client, protobuf) | Maintained by tooling | | Third-party library internals | Not your responsibility | | Simple getters/setters | No logic to verify | | Configuration files | Test the behavior they configure instead | | Console.log / print statements | Side effects with no business value |

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Test Organization

``` src/ ├── services/ │ ├── order.service.ts │ └── order.service.test.ts # Co-located unit tests ├── api/ │ └── routes/ │ └── orders.ts tests/ ├── integration/ │ ├── api/ │ │ └── orders.test.ts # API integration tests │ └── db/ │ └── order.repo.test.ts # DB integration tests ├── e2e/ │ ├── pages/ # Page objects │ │ └── checkout.page.ts │ └── specs/ │ └── checkout.spec.ts # E2E specs └── helpers/ ├── factories.ts # Test data factories └── setup.ts # Global test setup ```

> Rule: Co-locate unit tests with source. Separate integration and E2E tests into dedicated directories.

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Anti-Patterns

| Anti-Pattern | Problem | Fix | |--------------|---------|-----| | Testing implementation | Tests break on refactor, not on bugs | Test behavior and outputs, not internals | | Flaky tests | Non-deterministic failures erode CI trust | Remove time/order/network dependencies | | Test pollution | Shared mutable state leaks between tests | Reset state in `beforeEach` / `setUp` | | Sleeping in tests | `sleep(2000)` is slow and unreliable | Use explicit waits, polling, or events | | Giant arrange | 50 lines of setup obscure intent | Extract factories/builders/fixtures | | Assert-free tests | Test runs but verifies nothing | Every test must assert or expect | | Overmocking | Mocking everything tests nothing real | Only mock external boundaries | | Copy-paste tests | Duplicated tests diverge and rot | Use parameterized tests or helpers | | Testing the framework | Verifying library code works | Test *your* logic, trust dependencies | | Ignoring test failures | `skip`, `xit`, `@Disabled` accumulate | Fix or delete — never hoard skipped tests | | Tight coupling to DB | Tests fail when schema changes | Use repository pattern + fakes for unit tests | | One giant test | Single test covers 10 scenarios | Split into focused, named tests | | No test for bug fix | Regression reappears later | Every bug fix gets a regression test |

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NEVER Do

  1. NEVER test implementation details instead of behavior — tests must verify what the code does, not how it does it
  2. NEVER use `sleep()` in tests — use explicit waits, polling, events, or assertions that auto-retry
  3. NEVER share mutable state between tests — each test sets up and tears down its own state
  4. NEVER write assert-free tests — a test that asserts nothing proves nothing
  5. NEVER mock internal domain logic — only mock at system boundaries (network, DB, filesystem, clock)
  6. NEVER skip tests without a linked issue and a plan to re-enable — skipped tests rot into permanent gaps
  7. NEVER leave a test suite in a failing state — fix it or remove it with justification before moving on
  8. NEVER chase 100% coverage as a goal — coverage percentage is a tool, not a target; strong assertions on critical paths beat weak assertions everywhere

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Summary

| Do | Don't | |----|-------| | Test behavior, not implementation | Mock everything in sight | | Write the test before fixing a bug | Skip tests to ship faster | | Keep tests fast and deterministic | Use `sleep()` or shared state | | Use factories for test data | Copy-paste setup across tests | | Mock at system boundaries | Mock internal functions | | Name tests descriptively | Name tests `test1`, `test2` | | Run tests in CI on every push | Only run tests locally | | Delete or fix skipped tests | Let `@skip` accumulate forever | | Use parameterized tests for variants | Duplicate test code | | Inject dependencies for testability | Hard-code dependencies |

> Remember: Tests are a safety net — a fast, trustworthy suite lets you refactor fearlessly and ship with confidence.

Use Cases

  • Apply framework-specific testing patterns for Jest, Vitest, Pytest, and others
  • Design testing strategies that balance unit, integration, and E2E coverage
  • Implement test doubles (mocks, stubs, fakes) following language-specific conventions
  • Set up test infrastructure with proper fixtures, factories, and test databases
  • Write maintainable tests that document behavior without becoming brittle

Pros & Cons

Pros

  • + Framework-specific guidance ensures patterns match actual tool capabilities
  • + Covers the full testing strategy spectrum from unit to E2E
  • + Clear trigger phrases for easy invocation during development

Cons

  • - Overlaps significantly with test-patterns — unclear differentiation
  • - No embedded pattern catalog or reference implementations

Frequently Asked Questions

What does Testing Patterns do?

Unit, integration, and E2E testing patterns with framework-specific guidance. Use when asked to "write tests", "add test coverage", "testing strategy", "test this function", "create test suite", "fix flaky tests", or "improve test quality".

What platforms support Testing Patterns?

Testing Patterns is available on Claude Code, OpenClaw.

What are the use cases for Testing Patterns?

Apply framework-specific testing patterns for Jest, Vitest, Pytest, and others. Design testing strategies that balance unit, integration, and E2E coverage. Implement test doubles (mocks, stubs, fakes) following language-specific conventions.

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