Homelab MCP Server

# Test Categorization for MCP Python Server This document categorizes all test files in the MCP Python Server project to provide a clear understanding of test organization, coverage, and purpose. ## Test Categories Overview The tests are organized into three main categories: 1. **Unit Tests** - Test individual components in isolation with mocked dependencies 2. **Integration Tests** - Test components working together, potentially with real external dependencies 3. **End-to-End Tests** - Full workflow tests with real systems ## Test File Categories ### Unit Tests (8 files) **Location:** `tests/` These tests use mocking extensively to isolate components and test functionality without external dependencies. #### 1. `test_database.py` - **Purpose:** Tests database abstraction layer and adapters - **Components:** SQLiteAdapter, PostgreSQLAdapter, DatabaseConfig, database factory functions - **Mocking:** In-memory SQLite, mocked PostgreSQL connections - **Key Features:** - Schema initialization - Device storage/retrieval - Discovery history management - Database adapter factory functionality #### 2. `test_server.py` - **Purpose:** Tests MCP server protocol handling and endpoint responses - **Components:** HomelabMCPServer class - **Mocking:** SSH key generation, tool execution, health monitoring - **Key Features:** - Server initialization with SSH key setup - Tools listing (34 tools total) - JSON-RPC protocol handling - Error handling for unknown methods/tools - Health monitoring and timeout handling - Exception handling with structured responses #### 3. `test_error_handling.py` - **Purpose:** Tests error handling decorators and utilities - **Components:** Timeout wrapper, retry decorator, SSH connection wrapper, health checker - **Mocking:** Async operations, connection failures, timeouts - **Key Features:** - Timeout wrapper with structured error responses - Retry mechanism with exponential backoff - SSH-specific error handling and suggestions - Health monitoring and metrics collection - Custom exception types (MCPTimeout, MCPConnectionError) #### 4. `test_sitemap.py` - **Purpose:** Tests network sitemap functionality and device management - **Components:** NetworkSiteMap, NetworkDevice, discovery functions - **Mocking:** In-memory database, SSH discovery data - **Key Features:** - Discovery output parsing (success and error cases) - Device storage with duplicate detection - Network topology analysis - Deployment suggestions based on device specs - Change history tracking #### 5. `test_ssh_tools.py` - **Purpose:** Tests SSH operations and system discovery - **Components:** SSH discovery, key management, admin setup - **Mocking:** AsyncSSH connections, command execution results - **Key Features:** - System discovery with hardware information collection - Authentication methods (password, SSH keys) - Error handling for connection failures and timeouts - CPU, memory, disk, network, and OS detection #### 6. `test_tools.py` - **Purpose:** Tests MCP tool registration and execution framework - **Components:** Tool registry, execution dispatcher - **Mocking:** SSH tools, sitemap operations, infrastructure functions - **Key Features:** - Available tools listing (34 tools including SSH, sitemap, infrastructure, VM, service, and Ansible) - Tool execution with parameter validation - Structured error responses for unknown tools - Integration with various tool categories #### 7. `test_infrastructure_crud.py` - **Purpose:** Tests infrastructure management and CRUD operations - **Components:** InfrastructureManager, deployment functions - **Mocking:** Sitemap queries, SSH connections, service deployments - **Key Features:** - Device connection information retrieval - Infrastructure plan validation and deployment - Configuration updates and rollback operations - Service scaling and decommissioning #### 8. `test_service_installer.py` - **Purpose:** Tests service installation and requirement checking - **Components:** ServiceInstaller class - **Mocking:** YAML template files, SSH command execution - **Key Features:** - Service template loading from YAML files - Requirement validation (ports, memory, disk space) - Docker Compose and ISO installation methods - Resource conflict detection ### VM Operations Unit Tests (2 files) #### 9. `test_vm_operations.py` - **Purpose:** Tests VM management operations - **Components:** VMManager, VM deployment/control functions - **Mocking:** Sitemap connections, VM providers, SSH connections - **Key Features:** - VM deployment across different platforms - VM state control (start, stop, restart) - Status monitoring and log retrieval - Multi-platform support coordination #### 10. `test_vm_providers.py` - **Purpose:** Tests VM provider implementations - **Components:** Docker and LXD providers - **Mocking:** SSH connections, container/VM commands - **Key Features:** - Docker container lifecycle management - LXD container operations - Provider factory pattern - Platform-specific command execution ### Integration Tests (2 files) **Location:** `tests/integration/` These tests involve real components working together, though still using some mocking for external dependencies. #### 11. `test_sitemap_integration.py` - **Purpose:** Integration tests for complete sitemap workflows - **Components:** Full sitemap workflow with database and discovery - **Dependencies:** In-memory database, Docker containers (for E2E scenarios) - **Key Features:** - Complete discover-store-analyze workflow - MCP tool integration testing - Bulk discovery operations - Real SSH connections to test containers #### 12. `test_ssh_integration.py` - **Purpose:** Integration tests for SSH functionality with real connections - **Components:** SSH operations with actual containers - **Dependencies:** Docker test containers with SSH servers - **Key Features:** - Real SSH key generation and management - Complete mcp_admin setup workflow - Authentication method testing - Container-based SSH server interactions ## Test Configuration and Fixtures ### Common Fixtures - **Database fixtures:** In-memory SQLite for fast, isolated testing - **Mock fixtures:** SSH connections, command results, JSON responses - **Container fixtures:** Docker containers for integration testing - **Temporary files:** Service templates and configuration files ### Test Markers - `@pytest.mark.asyncio` - For async function testing - `@pytest.mark.integration` - For integration tests requiring external dependencies ### External Dependencies for Integration Tests - **Docker:** Required for container-based integration tests - **PostgreSQL:** Optional, for database integration tests (currently mocked in unit tests) - **SSH servers:** Test containers with SSH access ## Test Coverage Areas ### Core Functionality Tested 1. **Database Operations:** Schema management, CRUD operations, query optimization 2. **SSH Operations:** Connection handling, authentication, command execution 3. **Network Discovery:** System information gathering, parsing, storage 4. **Infrastructure Management:** Service deployment, configuration management 5. **VM Operations:** Container/VM lifecycle management across platforms 6. **Error Handling:** Timeout handling, retry logic, structured error responses 7. **MCP Protocol:** JSON-RPC handling, tool registration, response formatting ### Integration Workflows Tested 1. **Complete Discovery Workflow:** SSH discover → parse → store → analyze 2. **Admin Setup Workflow:** Key generation → user creation → access verification 3. **Service Installation:** Requirements check → template processing → deployment 4. **VM Management:** Provider selection → deployment → control → monitoring ## Test Execution Patterns ### Unit Test Characteristics - **Fast execution:** Heavy use of mocking for speed - **Isolated testing:** No external dependencies - **Comprehensive coverage:** Test both success and failure scenarios - **Structured responses:** Consistent JSON response format testing ### Integration Test Characteristics - **Real component interaction:** Actual database and SSH operations - **Container dependencies:** Docker containers for realistic environments - **Workflow validation:** End-to-end process verification - **Environment setup:** Fixture-based test environment preparation ## Testing Best Practices Implemented 1. **Fixture Reuse:** Common database and connection fixtures 2. **Mock Strategy:** Strategic mocking of external dependencies in unit tests 3. **Error Scenarios:** Comprehensive error condition testing 4. **Async Testing:** Proper async/await pattern testing 5. **Resource Cleanup:** Proper teardown in integration tests 6. **Realistic Data:** Sample data that mirrors real system outputs ## Recommendations for Test Maintenance 1. **Unit tests should remain isolated** - Avoid real external dependencies 2. **Integration tests should use containers** - Consistent, reproducible environments 3. **Mock realistic data** - Use actual command outputs and response formats 4. **Test error conditions** - Ensure robust error handling across all components 5. **Maintain fixture consistency** - Keep test fixtures up-to-date with real data formats This categorization shows a well-structured test suite with clear separation between unit and integration tests, comprehensive coverage of core functionality, and proper use of mocking strategies for maintainable and reliable testing.