MeshMonitor Test Suite

Overview

A comprehensive test suite has been implemented for MeshMonitor using Vitest as the testing framework. The suite covers database operations, API endpoints, and frontend components.

Test Structure

1. Database Tests (src/services/database.test.ts)

• Node Operations: CRUD operations for node management
• Message Operations: Message storage and retrieval
• Channel Operations: Channel management functionality
• Telemetry Operations: Telemetry data storage
• Traceroute Operations: Network path tracking
• Cleanup Operations: Data purging functionality
• Favorite Operations: Node favorite status management, sync from NodeInfo protobuf

2. Server API Tests (src/server/server.test.ts)

• Node Endpoints: /api/nodes, /api/nodes/active
• Message Endpoints: Message sending, retrieval, and filtering
• Channel Endpoints: Channel listing and management
• Statistics Endpoints: System metrics and analytics
• Health Endpoints: System status checks
• Import/Export: Data backup and restore
• Cleanup Endpoints: Data maintenance operations
• Telemetry Endpoints: Telemetry data access
• Traceroute Endpoints: Network analysis operations

3. Component Tests (src/components/TelemetryGraphs.test.tsx)

• UI rendering tests
• Data fetching behavior
• User interaction handling
• Error state management
• Loading state verification
• Data visualization tests

Running Tests

# Run all tests once
npm run test:run

# Run tests in watch mode
npm run test

# Run tests with UI
npm run test:ui

# Generate coverage report
npm run test:coverage

Testing Stack

• Framework: Vitest
• React Testing: @testing-library/react
• API Testing: Supertest
• Assertions: @testing-library/jest-dom
• User Events: @testing-library/user-event

Coverage Areas

Database Layer

✅ Node CRUD operations ✅ Message storage and retrieval ✅ Channel management ✅ Telemetry data handling ✅ Traceroute tracking ✅ Data cleanup operations ✅ Favorite node management ✅ NodeInfo protobuf favorite sync

API Layer

✅ RESTful endpoints ✅ Error handling ✅ Request validation ✅ Response formatting ✅ Authentication checks ✅ Data export/import

Frontend Components

✅ Component rendering ✅ State management ✅ User interactions ✅ Data fetching ✅ Error boundaries ✅ Loading states

Mock Strategy

The test suite uses comprehensive mocking to ensure tests are isolated and predictable:

1. Database Mocking: In-memory SQLite for database tests
2. API Mocking: Mock Express app with stubbed database calls
3. Network Mocking: Mocked fetch API for component tests
4. Component Mocking: Mocked chart libraries to avoid rendering issues

Best Practices Implemented

1. Test Isolation: Each test runs independently
2. Descriptive Names: Clear test descriptions
3. Arrange-Act-Assert: Consistent test structure
4. Error Testing: Both success and failure paths tested
5. Edge Cases: Boundary conditions and edge cases covered
6. Mocking Strategy: Appropriate mocking at each layer

Future Enhancements

1. Integration Tests: End-to-end testing with real database
2. Performance Tests: Load testing for API endpoints
3. Snapshot Testing: UI component snapshot tests
4. Mutation Testing: Test quality verification
5. Security Tests: Authentication and authorization testing
6. WebSocket Tests: Real-time communication testing

CI/CD Integration

The test suite is ready for CI/CD integration:

# Example GitHub Actions workflow
- name: Run Tests
  run: npm run test:run

- name: Generate Coverage
  run: npm run test:coverage

- name: Upload Coverage
  uses: codecov/codecov-action@v3

Known Issues

• Some tests may need adjustment for Node.js version compatibility
• jsdom environment required for component tests
• Database mock may need refinement for complex queries

Maintenance

Regular test maintenance should include:

• Updating tests when features change
• Adding tests for new features
• Reviewing and updating mocks
• Monitoring test execution time
• Maintaining test coverage above 80%