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mlx-knife/TESTING.md
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mzfive b927fa1e33 Update documentation and remove GitHub Actions - no testing on github possible
- Remove .github/workflows/tests.yml (local testing only)
  - Update CONTRIBUTING.md with current development workflow
  - Refine README.md for 1.0-rc1 release readiness
  - Update TESTING.md with comprehensive testing guide
2025-08-13 16:14:15 +02:00

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MLX Knife Testing Guide

Quick Start

# Install with test dependencies
pip install -e ".[test]"

# Run all tests
pytest

# Run specific test categories
pytest tests/integration/
pytest tests/unit/

Why Local Testing?

MLX Knife requires Apple Silicon hardware and real MLX models for comprehensive testing:

  • Hardware Requirement: MLX framework only runs on Apple Silicon (M1/M2/M3)
  • Model Requirement: Tests use actual models (4GB+) for realistic validation
  • Industry Standard: Local testing is normal for MLX projects
  • Quality Assurance: Real hardware testing ensures actual functionality

This approach ensures our tests reflect real-world usage, not mocked behavior.

Test Structure

tests/
├── TESTING.md                      # This file
├── mlx_knife_test_requirements.md  # Original test requirements
├── conftest.py                     # Shared fixtures and utilities
├── integration/                    # System-level integration tests
│   ├── test_core_functionality.py      # Basic CLI operations
│   ├── test_health_checks.py           # Model corruption detection  
│   ├── test_process_lifecycle.py       # Process management & cleanup
│   ├── test_run_command_advanced.py    # Run command edge cases
│   └── test_server_functionality.py    # OpenAI API server tests
└── unit/                          # Module-level unit tests
    ├── test_cache_utils.py            # Cache management functions
    └── test_cli.py                    # CLI argument parsing

Test Prerequisites

Required Setup

  1. Apple Silicon Mac (M1/M2/M3)
  2. Python 3.9 or newer
  3. Test dependencies installed:
    pip install -e ".[test]"
    
  4. At least one MLX model:
    mlxk pull mlx-community/Phi-3-mini-4k-instruct-4bit
    

Optional Setup

For full test coverage, you may want additional models:

# Smaller model for quick tests
mlxk pull mlx-community/Phi-3-mini-128k-instruct-4bit

# Different architecture for variety
mlxk pull mlx-community/Mistral-7B-Instruct-v0.3-4bit

Test Commands

Basic Test Execution

# All tests (recommended before commits)
pytest

# Only integration tests (system-level)
pytest tests/integration/

# Only unit tests (fast)
pytest tests/unit/

# Verbose output
pytest -v

# Show test coverage
pytest --cov=mlx_knife --cov-report=html

Specific Test Categories

# Process lifecycle tests (critical for production)
pytest tests/integration/test_process_lifecycle.py -v

# Health check robustness (model corruption detection)
pytest tests/integration/test_health_checks.py -v

# Core functionality (basic CLI commands)
pytest tests/integration/test_core_functionality.py -v

# Advanced run command tests
pytest tests/integration/test_run_command_advanced.py -v

# Server functionality tests
pytest tests/integration/test_server_functionality.py -v

Test Filtering

# Run only basic operations tests
pytest -k "TestBasicOperations" -v

# Skip server tests (faster)
pytest -k "not server" -v

# Skip tests requiring actual models
pytest -k "not requires_model" -v

# Run only process lifecycle tests
pytest -k "process_lifecycle or zombie" -v

# Run health check tests only
pytest -k "health" -v

Timeout and Performance

# Set custom timeout (default: 300s)
pytest --timeout=60

# Show slowest tests
pytest --durations=10

# Parallel execution (if pytest-xdist installed)
pytest -n auto

Test Results Summary (1.0-rc1)

Current Test Status (August 2025)

Total Tests: 86/86 passing (100% ✅)
├── ✅ Integration Tests: 61 passing
├── ✅ Unit Tests: 25 passing  
└── ✅ Real MLX Model Tests: All passing with Phi-3-mini

Production Ready Achievements:

  • Complete test coverage - All critical functionality validated
  • Real model execution - No mocked tests
  • Process hygiene confirmed - No zombie processes, clean shutdowns
  • Memory management robust - RAII pattern prevents leaks
  • Exception safety verified - Context managers work correctly

Test Categories Breakdown

Category Count Description
Unit Tests 25 Fast, isolated function tests
Integration Tests 61 Full system behavior tests
Model Execution 7 Real MLX model running
Process Lifecycle 8 Signal handling and cleanup
Health Checks 12 Corruption detection
Server Tests 14 API endpoint validation

Python Version Compatibility

Compatibility Status

MLX Knife 1.0-rc1 is fully compatible with Python 3.9-3.13. Comprehensive verification completed with 86/86 tests passing on all supported versions.

Manual Multi-Python Testing

If you have multiple Python versions installed, you can verify compatibility:

# Run the multi-Python verification script
./test-multi-python.sh

# Or manually test specific versions
python3.9 -m venv test_39
source test_39/bin/activate
pip install -e ".[test]"
pytest
deactivate && rm -rf test_39

Verification Results (August 2025)

Python Version Status Tests Passing
3.9.6 (macOS) Verified 86/86
3.10.x Verified 86/86
3.11.x Verified 86/86
3.12.x Verified 86/86
3.13.x Verified 86/86

All versions tested with real MLX model execution (Phi-3-mini-4k-instruct-4bit).

Code Quality & Development

Code Quality Tools

MLX Knife includes comprehensive code quality tools:

# Install development dependencies  
pip install -e ".[dev]"

# Automatic code formatting and linting
ruff check mlx_knife/ --fix

# Type checking with mypy
mypy mlx_knife/

# Complete development workflow
ruff check mlx_knife/ --fix && mypy mlx_knife/ && pytest

Current Status:

  • ruff: Code style standardized
  • mypy: Type annotations for better IDE support
  • pytest: Comprehensive test coverage

Development Workflow

Before committing changes:

#!/bin/bash
# pre-commit-check.sh - Run before committing
set -e

echo "🧪 Running MLX Knife pre-commit checks..."

# 1. Code style
echo "Checking code style..."
ruff check mlx_knife/ --fix

# 2. Type checking
echo "Checking types..."
mypy mlx_knife/

# 3. Quick smoke test
echo "Running quick tests..."
pytest tests/unit/ -v

echo "✅ All checks passed. Safe to commit!"

Local Development Testing

Adding New Tests

  1. Integration tests go in tests/integration/
  2. Unit tests go in tests/unit/
  3. Use existing fixtures from conftest.py
  4. Follow naming: test_*.py, Test* classes, test_* methods

Test Categories (Markers)

@pytest.mark.integration  # Slower system tests
@pytest.mark.unit         # Fast isolated tests  
@pytest.mark.slow         # Tests >30 seconds
@pytest.mark.requires_model  # Needs actual MLX model
@pytest.mark.network      # Requires internet

Mock Utilities

  • mock_model_cache(): Creates fake model directories
  • mlx_knife_process(): Manages subprocess lifecycle
  • process_monitor(): Tracks zombie processes
  • temp_cache_dir(): Isolated test environment

Test Philosophy

Following the "Process Hygiene over Edge-Case Perfection" principle:

  1. Process Cleanliness: No zombies, no leaks
  2. Health Checks: Reliable corruption detection
  3. Core Operations: Basic functionality works
  4. Error Handling: Graceful failures

The current test suite successfully validates production readiness while identifying specific areas for enhancement.

Troubleshooting

Common Issues

Tests hang forever:

pytest --timeout=60

Import errors:

pip install -e ".[test]"

Process cleanup issues:

ps aux | grep mlx_knife  # Check for zombies

Cache conflicts:

export HF_HOME="/tmp/test_cache"
pytest --cache-clear

Test Environment

# Clean test run
rm -rf .pytest_cache __pycache__
pytest tests/ -v --cache-clear

# Debug specific test
pytest tests/integration/test_health_checks.py::TestHealthCheckRobustness::test_healthy_model_detection -v -s

Contributing Test Results

When submitting PRs, please include:

  1. Your test environment:

    • macOS version
    • Apple Silicon chip (M1/M2/M3)
    • Python version
    • Which model(s) you tested with
  2. Test results summary:

    Platform: macOS 14.5, M2 Pro
    Python: 3.11.6
    Model: Phi-3-mini-4k-instruct-4bit
    Results: 86/86 tests passed
    
  3. Any issues encountered and how you resolved them

Summary

MLX Knife 1.0-rc1 Testing Status:

Production Ready - 86/86 tests passing
Multi-Python Support - Python 3.9-3.13 verified
Code Quality - ruff/mypy integration working
Real Model Testing - Phi-3-mini execution confirmed
Memory Management - RAII pattern prevents leaks
Exception Safety - Context managers ensure cleanup

This comprehensive testing framework validates MLX Knife's production readiness through local testing on real Apple Silicon hardware with actual MLX models.