# Testing Strategy Documentation

# Overview

This document outlines the comprehensive testing strategy for the MSPR 3 pandemic surveillance platform, covering all aspects of automated testing within our CI/CD pipeline.

# Testing Pyramid

                 E2E Tests
                /         \
           Integration Tests
          /                 \
     Unit Tests              \
    /          \              \
API Tests    Frontend Tests   Security Tests

# Test Categories

# 1. Unit Tests

Purpose: Test individual functions, methods, and components in isolation

Coverage Areas:

  • Route handlers
  • Middleware functions
  • Utility functions
  • Data transformation functions
  • Authentication logic

Tools:

  • Jest (Testing framework)
  • Supertest (HTTP assertions)
  • TypeScript support via ts-jest

Example Test Structure:

describe('Authentication Middleware', () => {
  it('should authenticate valid Bearer token', () => {
    // Test implementation
  });
  
  it('should reject invalid token', () => {
    // Test implementation
  });
});

# 2. Integration Tests

Purpose: Test interactions between different components and external services

Coverage Areas:

  • API endpoint workflows
  • Database interactions
  • Service integrations
  • Error handling across components

Test Scenarios:

  • Full request/response cycles
  • Database transaction handling
  • External API communication
  • Error propagation

# 3. Security Tests

Purpose: Verify security measures and vulnerability prevention

Coverage Areas:

  • Authentication bypass attempts
  • SQL injection prevention
  • XSS protection
  • Rate limiting effectiveness
  • Input validation

Security Test Types:

describe('Security Tests', () => {
  it('should prevent SQL injection in queries', () => {
    // Test malicious SQL inputs
  });
  
  it('should enforce rate limiting', () => {
    // Test request throttling
  });
});

# 4. Performance Tests

Purpose: Ensure application performance under various loads

Test Types:

  • Load testing (normal traffic)
  • Stress testing (peak traffic)
  • Spike testing (sudden traffic increases)
  • Volume testing (large data sets)

# Test Organization

# Directory Structure

tests/
├── unit/
│   ├── routes/
│   │   ├── public.test.ts
│   │   └── authenticated.test.ts
│   ├── middleware/
│   │   └── auth.test.ts
│   └── utils/
│       └── transformers.test.ts
├── integration/
│   ├── api.integration.test.ts
│   └── database.integration.test.ts
├── security/
│   ├── auth.security.test.ts
│   └── injection.security.test.ts
├── performance/
│   └── load.performance.test.ts
└── fixtures/
    ├── mockData.ts
    └── testHelpers.ts

# Test Configuration

# Jest Configuration (jest.config.js)

module.exports = {
  preset: 'ts-jest',
  testEnvironment: 'node',
  
  // Test patterns
  testMatch: [
    '**/__tests__/**/*.+(ts|tsx|js)',
    '**/*.(test|spec).+(ts|tsx|js)'
  ],
  
  // Coverage configuration
  collectCoverageFrom: [
    'src/**/*.{ts,tsx}',
    '!src/**/*.d.ts',
    '!src/**/index.ts',
  ],
  
  // Coverage thresholds
  coverageThreshold: {
    global: {
      branches: 80,
      functions: 80,
      lines: 80,
      statements: 80
    }
  },
  
  // Test environment setup
  setupFilesAfterEnv: ['<rootDir>/tests/setup.ts'],
  
  // Timeout configuration
  testTimeout: 30000,
  
  // Mock configurations
  moduleNameMapping: {
    '^@/(.*)$': '<rootDir>/src/$1'
  }
};

# Test Data Management

# Mock Data Strategy

Principles:

  • Deterministic test data
  • Realistic data structures
  • Isolated test environments
  • Reusable mock objects

Mock Implementation:

// tests/fixtures/mockData.ts
export const mockCovidData = [
  {
    index: 1,
    date: new Date('2024-01-01'),
    country: 'France',
    total_cases: 1000,
    new_cases: 50,
    total_deaths: 100,
    new_deaths: 5,
  }
];

export const mockPrismaClient = {
  covidData: {
    findMany: jest.fn(),
    create: jest.fn(),
    update: jest.fn(),
    delete: jest.fn(),
  }
};

# Database Testing

Strategy:

  • In-memory database for unit tests
  • Containerized PostgreSQL for integration tests
  • Database migrations in test environment
  • Transaction rollback for isolation

Setup Example:

// Database setup for integration tests
beforeAll(async () => {
  // Start test database container
  await startTestDatabase();
  
  // Run migrations
  await runMigrations();
});

beforeEach(async () => {
  // Start transaction
  await db.query('BEGIN');
});

afterEach(async () => {
  // Rollback transaction
  await db.query('ROLLBACK');
});

# Continuous Integration Testing

# Pipeline Integration

Test Execution Flow:

  1. Pre-commit: Basic linting and type checking
  2. Pull Request: Full test suite execution
  3. Merge: Security and performance tests
  4. Deploy: Smoke tests and health checks

Matrix Testing:

strategy:
  matrix:
    node-version: [18.x, 20.x]
    database-version: [13, 14, 15]
    environment: [test, staging]

# Parallel Test Execution

Benefits:

  • Faster feedback cycles
  • Resource optimization
  • Better CI/CD throughput

Configuration:

jobs:
  unit-tests:
    runs-on: ubuntu-latest
    # Unit test execution
    
  integration-tests:
    runs-on: ubuntu-latest
    needs: unit-tests
    # Integration test execution
    
  security-tests:
    runs-on: ubuntu-latest
    # Security test execution

# Test Quality Metrics

# Coverage Metrics

Target Thresholds:

  • Line Coverage: 80%
  • Branch Coverage: 80%
  • Function Coverage: 80%
  • Statement Coverage: 80%

Exclusions:

  • Configuration files
  • Type definitions
  • Generated code
  • Third-party integrations

# Quality Gates

Automated Checks:

  • All tests must pass
  • Coverage thresholds met
  • No critical security vulnerabilities
  • Performance benchmarks satisfied

Failure Handling:

// Graceful test failure handling
afterEach(async () => {
  if (testFailed) {
    await captureErrorLogs();
    await saveTestArtifacts();
  }
});

# Performance Testing

# Load Testing Strategy

Scenarios:

  1. Normal Load: Expected daily traffic patterns
  2. Peak Load: Maximum expected concurrent users
  3. Stress Load: Beyond normal capacity limits
  4. Spike Load: Sudden traffic increases

Metrics Tracked:

  • Response time percentiles (95th, 99th)
  • Throughput (requests per second)
  • Error rates
  • Resource utilization

# Performance Test Implementation

describe('Performance Tests', () => {
  it('should handle 1000 concurrent requests', async () => {
    const requests = Array(1000).fill(null).map(() =>
      request(app).get('/api/covid/public/latest')
    );
    
    const startTime = Date.now();
    const responses = await Promise.all(requests);
    const duration = Date.now() - startTime;
    
    expect(responses.every(r => r.status === 200)).toBe(true);
    expect(duration).toBeLessThan(5000); // 5 seconds
  });
});

# Security Testing

# Authentication Testing

Test Scenarios:

  • Valid token authentication
  • Invalid token rejection
  • Token expiration handling
  • Malformed header processing

Implementation:

describe('Authentication Security', () => {
  it('should reject requests without Bearer token', async () => {
    const response = await request(app)
      .get('/api/protected-endpoint')
      .expect(401);
      
    expect(response.body.error).toContain('Access denied');
  });
});

# Input Validation Testing

Vulnerability Categories:

  • SQL injection
  • NoSQL injection
  • XSS attacks
  • Command injection
  • Path traversal

Test Implementation:

describe('Input Validation', () => {
  it('should prevent SQL injection in country parameter', async () => {
    const maliciousInput = "'; DROP TABLE covid_data; --";
    
    const response = await request(app)
      .get(`/api/covid/public/country/${maliciousInput}`)
      .expect(400);
      
    // Verify database integrity
    const tableExists = await checkTableExists('covid_data');
    expect(tableExists).toBe(true);
  });
});

# Test Maintenance

# Regular Maintenance Tasks

Weekly:

  • Review test failures and flaky tests
  • Update test data for relevance
  • Monitor test execution times

Monthly:

  • Analyze coverage trends
  • Review and update test strategies
  • Optimize slow-running tests

Quarterly:

  • Major test framework updates
  • Performance benchmark reviews
  • Security test strategy updates

# Test Debugging

Debug Strategies:

  1. Verbose Logging: Enable detailed test output
  2. Isolation: Run individual test suites
  3. Snapshot Testing: Compare test outputs
  4. Mock Inspection: Verify mock call patterns

Debug Configuration:

// Enable debug mode for specific tests
const DEBUG = process.env.DEBUG === 'true';

beforeEach(() => {
  if (DEBUG) {
    console.log('Test environment:', process.env.NODE_ENV);
    console.log('Database URL:', process.env.DATABASE_URL);
  }
});

# Best Practices

# Test Writing Guidelines

Structure:

  • Arrange: Set up test data and environment
  • Act: Execute the function or endpoint
  • Assert: Verify expected outcomes

Naming Conventions:

describe('Component/Function Name', () => {
  describe('when condition', () => {
    it('should expected behavior', () => {
      // Test implementation
    });
  });
});

# Mock Management

Principles:

  • Mock external dependencies
  • Reset mocks between tests
  • Verify mock interactions
  • Use realistic mock data

Implementation:

beforeEach(() => {
  jest.clearAllMocks();
  mockPrismaClient.covidData.findMany.mockResolvedValue(mockData);
});

afterEach(() => {
  expect(mockPrismaClient.covidData.findMany).toHaveBeenCalledTimes(1);
});

# Error Testing

Error Scenarios:

  • Network failures
  • Database connection issues
  • Invalid input data
  • Rate limit exceeded
  • Server timeouts

Error Test Pattern:

it('should handle database connection failure', async () => {
  mockPrismaClient.covidData.findMany.mockRejectedValue(
    new Error('Database connection failed')
  );
  
  const response = await request(app)
    .get('/api/covid/public/latest')
    .expect(500);
    
  expect(response.body.error).toContain('Database connection failed');
});

# Reporting and Analytics

# Test Reports

Generated Reports:

  • Coverage reports (HTML, LCOV)
  • Test execution summaries
  • Performance benchmarks
  • Security scan results

Report Locations:

coverage/
├── lcov-report/index.html
├── lcov.info
└── clover.xml

test-results/
├── junit.xml
├── performance-report.json
└── security-scan.json

# Metrics Dashboard

Key Metrics:

  • Test pass/fail rates over time
  • Coverage trends
  • Performance regression indicators
  • Security vulnerability counts

Integration:

  • GitHub Actions status checks
  • Codecov coverage tracking
  • Slack notifications for failures
  • Email reports for weekly summaries

This comprehensive testing strategy ensures robust, secure, and performant code delivery for the pandemic surveillance platform.