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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:
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@@ -1,17 +1,29 @@
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# MLX Knife Testing Guide
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## Current Status
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✅ **114/114 tests passing** (August 2025)
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✅ **Apple Silicon verified** (M1/M2/M3)
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✅ **Python 3.9-3.13 compatible**
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✅ **Production ready** - real model execution validated
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## Quick Start
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```bash
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# Install with test dependencies
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pip install -e ".[test]"
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# Download test model (required for most tests)
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mlxk pull mlx-community/Phi-3-mini-4k-instruct-4bit
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# Run all tests
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pytest
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# Run specific test categories
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pytest tests/integration/
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# Fast unit tests only
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pytest tests/unit/
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# Before committing
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ruff check mlx_knife/ --fix && mypy mlx_knife/ && pytest
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```
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## Why Local Testing?
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@@ -30,13 +42,13 @@ This approach ensures our tests reflect real-world usage, not mocked behavior.
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```
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tests/
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├── conftest.py # Shared fixtures and utilities
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├── integration/ # System-level integration tests
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├── integration/ # System-level integration tests (62 tests)
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│ ├── test_core_functionality.py # Basic CLI operations
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│ ├── test_health_checks.py # Model corruption detection
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│ ├── test_process_lifecycle.py # Process management & cleanup
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│ ├── test_run_command_advanced.py # Run command edge cases
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│ └── test_server_functionality.py # OpenAI API server tests
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└── unit/ # Module-level unit tests
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└── unit/ # Module-level unit tests (52 tests)
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├── test_cache_utils.py # Cache management functions
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├── test_cli.py # CLI argument parsing
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└── test_mlx_runner_memory.py # Memory management tests
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@@ -140,39 +152,19 @@ pytest --durations=10
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pytest -n auto
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```
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## Test Results Summary (1.0.1)
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### ✅ Current Test Status (August 2025)
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```
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Total Tests: 105/105 passing (100% ✅)
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├── ✅ Integration Tests: 62 passing
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├── ✅ Unit Tests: 25 passing
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└── ✅ Real MLX Model Tests: All passing with Phi-3-mini
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```
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**Production Ready Achievements:**
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- ✅ **Complete test coverage** - All critical functionality validated
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- ✅ **Real model execution** - No mocked tests
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- ✅ **Process hygiene confirmed** - No zombie processes, clean shutdowns
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- ✅ **Memory management robust** - Context managers prevent leaks
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- ✅ **Exception safety verified** - Context managers work correctly
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### Test Categories Breakdown
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| Category | Count | Description |
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|----------|-------|-------------|
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| **Unit Tests** | 25 | Fast, isolated function tests |
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| **Integration Tests** | 62 | Full system behavior tests |
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| **Model Execution** | 7 | Real MLX model running |
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| **Process Lifecycle** | 8 | Signal handling and cleanup |
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| **Health Checks** | 12 | Corruption detection |
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| **Server Tests** | 14 | API endpoint validation |
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## Python Version Compatibility
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### Compatibility Status
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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.
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### Verification Results (August 2025)
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| Python Version | Status | Tests Passing |
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|----------------|--------|---------------|
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| 3.9.6 (macOS) | ✅ Verified | 114/114 |
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| 3.10.x | ✅ Verified | 114/114 |
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| 3.11.x | ✅ Verified | 114/114 |
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| 3.12.x | ✅ Verified | 114/114 |
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| 3.13.x | ✅ Verified | 114/114 |
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All versions tested with real MLX model execution (Phi-3-mini-4k-instruct-4bit).
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### Manual Multi-Python Testing
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@@ -190,18 +182,6 @@ pytest
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deactivate && rm -rf test_39
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```
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### Verification Results (August 2025)
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| Python Version | Status | Tests Passing |
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|----------------|--------|---------------|
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| 3.9.6 (macOS) | ✅ Verified | 105/105 |
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| 3.10.x | ✅ Verified | 105/105 |
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| 3.11.x | ✅ Verified | 105/105 |
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| 3.12.x | ✅ Verified | 105/105 |
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| 3.13.x | ✅ Verified | 105/105 |
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All versions tested with real MLX model execution (Phi-3-mini-4k-instruct-4bit).
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## Code Quality & Development
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### Code Quality Tools
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@@ -222,11 +202,6 @@ mypy mlx_knife/
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ruff check mlx_knife/ --fix && mypy mlx_knife/ && pytest
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```
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**Current Status:**
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- ✅ **ruff**: Code style standardized
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- ✅ **mypy**: Type annotations for better IDE support
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- ✅ **pytest**: Comprehensive test coverage
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### Development Workflow
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Before committing changes:
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@@ -285,7 +260,7 @@ Following the **"Process Hygiene over Edge-Case Perfection"** principle:
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3. **Core Operations**: Basic functionality works ✅
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4. **Error Handling**: Graceful failures ✅
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The current test suite successfully validates production readiness while identifying specific areas for enhancement.
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The test suite validates production readiness with real Apple Silicon hardware and actual MLX models.
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## Troubleshooting
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@@ -338,16 +313,16 @@ When submitting PRs, please include:
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Platform: macOS 14.5, M2 Pro
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Python: 3.11.6
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Model: Phi-3-mini-4k-instruct-4bit
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Results: 105/105 tests passed
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Results: 114/114 tests passed
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```
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3. **Any issues encountered** and how you resolved them
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## Summary
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**MLX Knife 1.0.1 Testing Status:**
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**MLX Knife 1.0.3 Testing Status:**
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✅ **Production Ready** - 105/105 tests passing
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✅ **Production Ready** - 114/114 tests passing
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✅ **Multi-Python Support** - Python 3.9-3.13 verified
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✅ **Code Quality** - ruff/mypy integration working
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✅ **Real Model Testing** - Phi-3-mini execution confirmed
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