# MMORPG Test Plan

## Overview
This document outlines the comprehensive testing strategy for the MMORPG application, covering all phases of development and refactoring.

## Test Structure

### 1. Test Organization
```
tests/
├── conftest.py                    # Pytest configuration and fixtures
├── test_plan.md                   # This document
├── unit/                          # Unit tests
│   ├── test_services.py          # Service layer tests
│   ├── test_game_engine.py       # Game engine tests
│   ├── test_facades.py           # Facade pattern tests
│   └── test_plugins.py           # Plugin system tests
├── integration/                   # Integration tests
│   ├── test_ui_integration.py    # UI integration tests
│   ├── test_mcp_integration.py   # MCP integration tests
│   └── test_plugin_integration.py # Plugin integration tests
├── e2e/                          # End-to-end tests
│   ├── test_gameplay_flow.py     # Complete gameplay scenarios
│   ├── test_chat_system.py       # Chat system E2E tests
│   └── test_keyboard_controls.py # Keyboard controls E2E tests
├── performance/                   # Performance tests
│   ├── test_load_performance.py  # Load testing
│   └── test_memory_usage.py      # Memory usage tests
├── smoke/                        # Smoke tests
│   └── test_basic_functionality.py # Quick sanity checks
└── refactoring/                  # Refactoring completion tests
    └── test_refactoring_features.py # Verify completed refactoring
```

## Test Types

### 1. Unit Tests
**Purpose**: Test individual components in isolation
**Coverage Target**: 80%+
**Examples**:
- Service methods
- Game engine logic
- Individual UI components
- Plugin functionality

### 2. Integration Tests
**Purpose**: Test interaction between components
**Coverage Target**: 70%+
**Examples**:
- Service layer integration
- UI component interaction
- Plugin system integration
- MCP service integration

### 3. End-to-End (E2E) Tests
**Purpose**: Test complete user workflows
**Coverage Target**: Key user journeys
**Examples**:
- Player joins game → moves → chats → leaves
- Private chat workflow
- Keyboard controls workflow
- Plugin usage workflow

### 4. Performance Tests
**Purpose**: Ensure system performance
**Coverage Target**: Critical paths
**Examples**:
- Multiple player load testing
- Memory usage monitoring
- Response time testing
- Plugin loading performance

### 5. Smoke Tests
**Purpose**: Quick sanity checks
**Coverage Target**: Critical functionality
**Examples**:
- Server starts successfully
- Basic UI loads
- Core services initialize
- Database connections work

## Test Execution Strategy

### 1. Development Testing
```bash
# Run unit tests during development
pytest tests/unit/ -v

# Run specific test file
pytest tests/unit/test_services.py -v

# Run with coverage
pytest tests/unit/ --cov=src --cov-report=html
```

### 2. Integration Testing
```bash
# Run integration tests
pytest tests/integration/ -v

# Run with specific markers
pytest -m integration -v
```

### 3. Full Test Suite
```bash
# Run all tests
pytest tests/ -v

# Run with coverage report
pytest tests/ --cov=src --cov-report=html --cov-report=term

# Run only fast tests (exclude performance)
pytest tests/ -v -m "not performance"
```

### 4. Continuous Integration
```bash
# CI pipeline tests (fast tests only)
pytest tests/unit/ tests/integration/ tests/smoke/ -v --cov=src --cov-report=xml

# Nightly tests (include performance)
pytest tests/ -v --cov=src --cov-report=html
```

## Coverage Requirements

### Minimum Coverage Targets
- **Unit Tests**: 80% line coverage
- **Integration Tests**: 70% interaction coverage
- **E2E Tests**: 100% critical user journeys
- **Overall**: 75% combined coverage

### Critical Components (90%+ coverage required)
- Game engine core logic
- Service layer methods
- Security-related functions
- Data persistence logic

## Test Data Management

### 1. Test Fixtures
- Use pytest fixtures for reusable test data
- Isolate test data between tests
- Clean up after each test

### 2. Mock Strategy
- Mock external dependencies (file system, network)
- Use real instances for internal components
- Mock time-dependent operations

### 3. Test Databases
- Use in-memory databases for unit tests
- Use temporary files for integration tests
- Clean up test data after each test

## Quality Gates

### 1. Pre-commit Checks
- All unit tests must pass
- Code coverage must not decrease
- Linting checks must pass

### 2. Pull Request Checks
- All tests must pass
- Coverage requirements met
- Performance tests don't show regression

### 3. Release Checks
- Full test suite passes
- E2E tests cover all features
- Performance benchmarks met
- Manual testing completed

## Test Automation

### 1. Automated Test Execution
- Unit tests run on every commit
- Integration tests run on every push
- E2E tests run on every pull request
- Performance tests run nightly

### 2. Test Reporting
- Coverage reports generated automatically
- Test results visible in CI/CD pipeline
- Performance metrics tracked over time
- Failure notifications sent to team

## Refactoring Verification

### 1. Refactoring Test Suite
- Verify all refactored features work
- Ensure backward compatibility
- Test performance hasn't degraded
- Validate documentation accuracy

### 2. Feature Completion Checklist
- [ ] Clean architecture implemented
- [ ] Plugin system refactored
- [ ] Enhanced UI features working
- [ ] Service layer properly separated
- [ ] MCP integration functional
- [ ] Donald NPC implemented
- [ ] Project structure organized
- [ ] Trading system plugin working
- [ ] Documentation updated
- [ ] Keyboard controls integrated

## Tools and Dependencies

### Testing Framework
- **pytest**: Main testing framework
- **pytest-cov**: Coverage reporting
- **pytest-mock**: Mocking utilities
- **pytest-xdist**: Parallel test execution

### Additional Tools
- **coverage**: Coverage analysis
- **flake8**: Code linting
- **black**: Code formatting
- **mypy**: Type checking

## Maintenance

### 1. Test Maintenance
- Review and update tests with code changes
- Remove obsolete tests
- Add tests for new features
- Refactor duplicate test code

### 2. Performance Monitoring
- Track test execution time
- Identify slow tests
- Optimize test performance
- Monitor resource usage

### 3. Documentation
- Keep test plan updated
- Document test patterns
- Maintain testing guidelines
- Share testing best practices

## Getting Started

### 1. Initial Setup
```bash
# Install test dependencies
pip install pytest pytest-cov pytest-mock pytest-xdist

# Run initial test suite
pytest tests/ -v

# Generate coverage report
pytest tests/ --cov=src --cov-report=html
```

### 2. Writing New Tests
1. Choose appropriate test type (unit/integration/e2e)
2. Use existing fixtures and patterns
3. Follow naming conventions
4. Add appropriate markers
5. Ensure proper cleanup

### 3. Test Review Process
1. Tests must accompany feature changes
2. Peer review of test code
3. Verify test coverage meets requirements
4. Validate test effectiveness