Release MLX Knife 1.0.3 - GitHub Issues Implementation & Enhanced User Experience

Community-driven feature development implementing key GitHub Issues:
    - Fix Issue #7: Health check consistency for fuzzy model names - unified health check logic ensures
  identical status regardless of name format (Phi-3 vs mlx-community/Phi-3-mini-4k-instruct-4bit)
    - Add Issue #6: Repository name validation - pre-validation for HuggingFace Hub 96-character limit with
  clear error messages
    - Add Issue #13: Hash-based disambiguation - use commit hashes to resolve ambiguous model names (mlxk show
  Llama@de2dfaf5 → mlx-community/Llama-3.3-70B-Instruct-4bit)

  Enhanced user experience:
    - Pure local hash resolution without external API calls, offline-capable
    - Improved model name disambiguation logic for better workflow
    - Real user workflow support - see hashes in mlxk list, use directly in other commands
This commit is contained in:
The BROKE Team
2025-08-18 20:21:43 +02:00
parent cbd25c658d
commit 1f70b4984a
8 changed files with 397 additions and 64 deletions
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@@ -1,17 +1,29 @@
# MLX Knife Testing Guide
## Current Status
**114/114 tests passing** (August 2025)
**Apple Silicon verified** (M1/M2/M3)
**Python 3.9-3.13 compatible**
**Production ready** - real model execution validated
## Quick Start
```bash
# Install with test dependencies
pip install -e ".[test]"
# Download test model (required for most tests)
mlxk pull mlx-community/Phi-3-mini-4k-instruct-4bit
# Run all tests
pytest
# Run specific test categories
pytest tests/integration/
# Fast unit tests only
pytest tests/unit/
# Before committing
ruff check mlx_knife/ --fix && mypy mlx_knife/ && pytest
```
## Why Local Testing?
@@ -30,13 +42,13 @@ This approach ensures our tests reflect real-world usage, not mocked behavior.
```
tests/
├── conftest.py # Shared fixtures and utilities
├── integration/ # System-level integration tests
├── integration/ # System-level integration tests (62 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
└── unit/ # Module-level unit tests (52 tests)
├── test_cache_utils.py # Cache management functions
├── test_cli.py # CLI argument parsing
└── test_mlx_runner_memory.py # Memory management tests
@@ -140,39 +152,19 @@ pytest --durations=10
pytest -n auto
```
## Test Results Summary (1.0.1)
### ✅ Current Test Status (August 2025)
```
Total Tests: 105/105 passing (100% ✅)
├── ✅ Integration Tests: 62 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** - Context managers prevent leaks
- ✅ **Exception safety verified** - Context managers work correctly
### Test Categories Breakdown
| Category | Count | Description |
|----------|-------|-------------|
| **Unit Tests** | 25 | Fast, isolated function tests |
| **Integration Tests** | 62 | 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 1.0.1 is fully compatible with Python 3.9-3.13. Comprehensive verification completed with 105/105 tests passing on all supported versions.
### Verification Results (August 2025)
| Python Version | Status | Tests Passing |
|----------------|--------|---------------|
| 3.9.6 (macOS) | ✅ Verified | 114/114 |
| 3.10.x | ✅ Verified | 114/114 |
| 3.11.x | ✅ Verified | 114/114 |
| 3.12.x | ✅ Verified | 114/114 |
| 3.13.x | ✅ Verified | 114/114 |
All versions tested with real MLX model execution (Phi-3-mini-4k-instruct-4bit).
### Manual Multi-Python Testing
@@ -190,18 +182,6 @@ pytest
deactivate && rm -rf test_39
```
### Verification Results (August 2025)
| Python Version | Status | Tests Passing |
|----------------|--------|---------------|
| 3.9.6 (macOS) | ✅ Verified | 105/105 |
| 3.10.x | ✅ Verified | 105/105 |
| 3.11.x | ✅ Verified | 105/105 |
| 3.12.x | ✅ Verified | 105/105 |
| 3.13.x | ✅ Verified | 105/105 |
All versions tested with real MLX model execution (Phi-3-mini-4k-instruct-4bit).
## Code Quality & Development
### Code Quality Tools
@@ -222,11 +202,6 @@ mypy mlx_knife/
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:
@@ -285,7 +260,7 @@ Following the **"Process Hygiene over Edge-Case Perfection"** principle:
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.
The test suite validates production readiness with real Apple Silicon hardware and actual MLX models.
## Troubleshooting
@@ -338,16 +313,16 @@ When submitting PRs, please include:
Platform: macOS 14.5, M2 Pro
Python: 3.11.6
Model: Phi-3-mini-4k-instruct-4bit
Results: 105/105 tests passed
Results: 114/114 tests passed
```
3. **Any issues encountered** and how you resolved them
## Summary
**MLX Knife 1.0.1 Testing Status:**
**MLX Knife 1.0.3 Testing Status:**
**Production Ready** - 105/105 tests passing
**Production Ready** - 114/114 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