Testing Patterns
VerifiedUnit, 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
- NEVER test implementation details instead of behavior — tests must verify what the code does, not how it does it
- NEVER use `sleep()` in tests — use explicit waits, polling, events, or assertions that auto-retry
- NEVER share mutable state between tests — each test sets up and tears down its own state
- NEVER write assert-free tests — a test that asserts nothing proves nothing
- NEVER mock internal domain logic — only mock at system boundaries (network, DB, filesystem, clock)
- NEVER skip tests without a linked issue and a plan to re-enable — skipped tests rot into permanent gaps
- NEVER leave a test suite in a failing state — fix it or remove it with justification before moving on
- 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
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