# ADR-002: Testing Pyramid Strategy ## Status **ACCEPTED** - 2024-09-08 ## Context To maintain the highest quality standards and achieve near-100% test coverage, we need a comprehensive testing strategy that covers all aspects of our applications from unit tests to end-to-end testing. ## Decision We implement a **full testing pyramid** with multiple layers of testing to ensure comprehensive coverage and quality assurance. ### Testing Pyramid Structure #### 1. Unit Tests (70% of tests) - **Purpose**: Test individual functions, methods, and components in isolation - **Scope**: Fast, focused tests for specific functionality - **Tools**: Rust built-in testing, `cargo test` - **Coverage**: Every public function and method #### 2. Integration Tests (20% of tests) - **Purpose**: Test interactions between components and modules - **Scope**: Test component integration and data flow - **Tools**: Rust integration tests, `wasm-bindgen-test` - **Coverage**: API endpoints, database interactions, external service integration #### 3. End-to-End Tests (10% of tests) - **Purpose**: Test complete user workflows and application behavior - **Scope**: Full application testing from user perspective - **Tools**: Playwright, browser automation - **Coverage**: Critical user journeys and business workflows ### Testing Standards #### Coverage Requirements - **Minimum coverage**: 95% line coverage - **Branch coverage**: 90% branch coverage - **Function coverage**: 100% public function coverage - **Integration coverage**: 100% API endpoint coverage #### Test Quality Standards - **Fast execution**: Unit tests must run in <1ms each - **Isolated**: Tests must not depend on external state - **Deterministic**: Tests must produce consistent results - **Readable**: Tests must clearly express intent and expected behavior ## Implementation ### Unit Testing Strategy ```rust // Example: Data processing unit tests #[cfg(test)] mod tests { use super::*; #[test] fn test_data_validation() { let validator = DataValidator::new(); assert!(validator.validate("valid_data")); assert!(!validator.validate("invalid_data")); } #[test] fn test_data_transformation() { let transformer = DataTransformer::new(); let input = vec![1, 2, 3]; let expected = vec![2, 4, 6]; assert_eq!(transformer.double(input), expected); } } ``` ### Integration Testing Strategy ```rust // Example: API integration tests #[cfg(test)] mod integration_tests { use super::*; #[tokio::test] async fn test_api_endpoint() { let app = create_test_app().await; let response = app.post("/api/data") .json(&test_data()) .send() .await .unwrap(); assert_eq!(response.status(), 200); let result: ApiResponse = response.json().await.unwrap(); assert!(result.success); } } ``` ### End-to-End Testing Strategy ```typescript // Example: Playwright E2E tests test.describe('Data Pipeline Workflow', () => { test('should complete full data processing workflow', async ({ page }) => { // Navigate to application await page.goto('/'); // Upload data await page.setInputFiles('[data-testid="file-upload"]', 'test-data.csv'); // Configure pipeline await page.selectOption('[data-testid="processor-type"]', 'rust-processor'); await page.fill('[data-testid="output-format"]', 'json'); // Execute pipeline await page.click('[data-testid="start-processing"]'); // Verify results await expect(page.locator('[data-testid="processing-status"]')) .toContainText('Complete'); await expect(page.locator('[data-testid="download-link"]')) .toBeVisible(); }); }); ``` ### Test Organization ``` tests/ ├── unit/ # Unit tests │ ├── data_processing.rs │ ├── validation.rs │ └── transformation.rs ├── integration/ # Integration tests │ ├── api_tests.rs │ ├── database_tests.rs │ └── service_tests.rs └── e2e/ # End-to-end tests ├── user_workflows.spec.ts ├── data_pipeline.spec.ts └── performance.spec.ts ``` ## Quality Gates ### Pre-commit Hooks - Run unit tests - Check code coverage - Lint and format code - Security vulnerability scan ### CI/CD Pipeline 1. **Unit tests**: Run on every commit 2. **Integration tests**: Run on pull requests 3. **E2E tests**: Run on main branch 4. **Coverage report**: Generate and enforce coverage thresholds 5. **Performance tests**: Run benchmarks and regression tests ### Coverage Monitoring - **Real-time coverage**: Track coverage during development - **Coverage reports**: Generate detailed coverage reports - **Coverage trends**: Monitor coverage trends over time - **Coverage alerts**: Alert when coverage drops below thresholds ## Tools and Technologies ### Rust Testing - **cargo test**: Built-in testing framework - **criterion**: Benchmarking and performance testing - **tarpaulin**: Code coverage analysis - **mockall**: Mocking framework for unit tests ### Web Testing - **Playwright**: End-to-end testing - **wasm-bindgen-test**: WebAssembly testing - **js-sys**: JavaScript interop testing - **web-sys**: Web API testing ### CI/CD Integration - **GitHub Actions**: Automated testing pipeline - **Coverage reporting**: Integration with coverage services - **Test result reporting**: Detailed test result analysis - **Performance monitoring**: Continuous performance testing ## Metrics and Monitoring ### Test Metrics - **Test execution time**: Track test suite performance - **Test coverage**: Monitor coverage percentages - **Test reliability**: Track flaky test identification - **Test maintenance**: Monitor test maintenance overhead ### Quality Metrics - **Bug escape rate**: Measure bugs found in production - **Mean time to detection**: Track time to find issues - **Mean time to resolution**: Track time to fix issues - **Customer satisfaction**: Monitor client feedback on quality ## Review and Updates This ADR will be reviewed monthly to ensure testing strategy remains effective and aligned with project needs. Updates will be made based on: - Team feedback and experience - Industry best practices - Tool and technology updates - Client requirements and feedback ## Related ADRs - ADR-001: Test-Driven Development (TDD) First Approach - ADR-003: Playwright Testing for Demos - ADR-004: Code Coverage Standards - ADR-005: Performance Testing Strategy