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

# 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

# Run integration tests
pytest tests/integration/ -v

# Run with specific markers
pytest -m integration -v

3. Full Test Suite

# 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

# 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

# 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

Choose appropriate test type (unit/integration/e2e)
Use existing fixtures and patterns
Follow naming conventions
Add appropriate markers
Ensure proper cleanup

3. Test Review Process

Tests must accompany feature changes
Peer review of test code
Verify test coverage meets requirements
Validate test effectiveness