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MLX-Knife 2.0 Session 1: JSON-First Foundation
✅ FOUNDATION COMPLETE: Working `python -m mlxk2.cli list` command Architecture: - Clean-room implementation (145 lines total) - JSON-first design for broke-cluster automation - Modular structure: core/operations/output separation Deliverables: - mlxk2/core/cache.py: Cache path management (35 lines) - mlxk2/operations/list.py: Model discovery with JSON output (41 lines) - mlxk2/cli.py: CLI entry point with error handling (69 lines) - docs/: Complete ADR and implementation plan documentation Success Metrics Achieved: ✅ 12 models detected and JSON-formatted ✅ Consistent schema: status/command/data/error ✅ broke-cluster ready: `jq -r '.data.models[].name'` ✅ 4x faster than planned (1 hour vs 4 hour target) Next: Session 2 - health, pull, rm operations
This commit is contained in:
The BROKE Team
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# ADR-001: MLX-Knife 2.0 Migration Path to JSON-First Architecture
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## Status
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**Proposed** - 2025-08-26
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## Context
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MLX-Knife 1.1.0 has achieved stability with 150/150 tests passing, but faces architectural challenges:
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- `cache_utils.py` contains 1000+ lines causing ~4000 tokens per Claude interaction
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- Dual output format (human + JSON) would add complexity
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- Refactoring existing code risks breaking stable functionality
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- broke-cluster project needs scriptable JSON API for automated model management
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## Decision
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We will create MLX-Knife 2.0 as a **clean-room implementation** with JSON-first architecture, maintaining the robust maintenance functions while simplifying the codebase.
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## Migration Path
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### Phase 1: Alpha Foundation (Week 1)
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**Version: 2.0.0-alpha0**
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- Minimal viable product for broke-cluster
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- JSON-only output
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- Core commands: list, show, pull, rm, health
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- ~500 lines total code
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- No server/run functionality initially
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### Phase 2: Core Refactoring (Week 2)
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**Version: 2.0.0-alpha1**
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- Clean modular architecture
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- Separate concerns: models.py, operations.py, health.py
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- Maximum 200 lines per module
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- Edge case handling from 1.x learnings (see ADR-002)
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### Phase 3: Feature Parity (Week 3-4)
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**Version: 2.0.0-beta1**
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- Port server functionality from 1.1.0
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- Port run/chat functionality
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- All features JSON-first design
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- No dual output logic
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### Phase 4: Test Suite Migration (Week 5)
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**Version: 2.0.0-beta2**
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- New test suite for JSON output
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- Compatibility tests against 1.1.0
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- Edge case coverage (from ADR-002)
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- Target: 50-70 focused tests vs 150 in 1.x
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### Phase 5: Production Ready (Month 2)
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**Version: 2.0.0-rc1 → 2.0.0**
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- Documentation complete
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- Migration guide from 1.x
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- broke-cluster validated in production
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- Community feedback incorporated
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## Architecture Principles
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### 1. Module Structure
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```
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mlx-knife-2/
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├── mlxk2/
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│ ├── core/
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│ │ ├── cache.py # Cache path management (100 lines)
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│ │ ├── discovery.py # Model discovery (150 lines)
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│ │ └── health.py # Health validation (100 lines)
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│ ├── operations/
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│ │ ├── list.py # List operation (50 lines)
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│ │ ├── show.py # Show details (50 lines)
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│ │ ├── pull.py # Download models (100 lines)
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│ │ └── remove.py # Delete models (50 lines)
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│ ├── output/
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│ │ └── json.py # JSON serialization (50 lines)
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│ └── cli.py # CLI entry point (100 lines)
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```
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### 2. Dependency Rules
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- No circular dependencies
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- Core modules are dependency-free
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- Operations depend on core only
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- CLI depends on operations and output
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- Maximum dependency depth: 3 levels
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### 3. Code Limits
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- No file exceeds 200 lines
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- No function exceeds 50 lines
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- No class exceeds 100 lines
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- Clear separation of concerns
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## Implementation Guidelines
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### JSON Output Schema
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All commands return consistent JSON structure:
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```json
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{
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"status": "success|error",
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"command": "list|show|pull|rm|health",
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"data": { /* command specific */ },
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"error": null | { "type": "...", "message": "..." }
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}
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```
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### Error Handling
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- All errors return valid JSON
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- Exit codes remain compatible with 1.x
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- Detailed error messages for debugging
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### Backward Compatibility
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- Same cache directory structure
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- Same model naming conventions
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- Can run parallel to 1.1.0
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- No shared state between versions
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## Testing Strategy
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### Alpha Testing (alpha0-alpha1)
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- Manual testing against known models
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- Comparison with 1.1.0 output
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- broke-cluster integration testing
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### Beta Testing (beta1-beta2)
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- Automated test suite
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- Edge case coverage from ADR-002
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- Performance benchmarks
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### Release Testing (rc1)
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- Full compatibility validation
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- Community beta testing
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- Production deployment in broke-cluster
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## Success Metrics
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1. **Code Reduction**: <1000 lines total (vs 3000+ in 1.x)
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2. **Token Efficiency**: <500 tokens per file for Claude
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3. **Test Coverage**: >90% for critical paths
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4. **Performance**: Same or better than 1.1.0
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5. **broke-cluster**: Successful production deployment
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## Risks and Mitigations
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| Risk | Impact | Mitigation |
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|------|--------|------------|
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| Missing edge cases | High | Extract from 1.x tests (ADR-002) |
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| User migration resistance | Medium | Maintain 1.x support, clear benefits |
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| Feature gaps | Low | Incremental feature addition |
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| Performance regression | Medium | Benchmark against 1.1.0 |
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## Consequences
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### Positive
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- Clean, maintainable codebase
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- 80% reduction in Claude token usage
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- Perfect for automation/scripting
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- Faster development cycles
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- Clear architecture
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### Negative
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- Breaking change for users
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- Temporary feature gaps
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- Parallel maintenance (short-term)
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- Learning curve for JSON output
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## Decision Outcome
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Proceed with clean-room 2.0.0 implementation following the phased approach, starting with alpha0 for immediate broke-cluster value.
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## References
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- Issue #8: Model caching
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- Issue #26: Embeddings API
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- JSON Feature Request document
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- mlx-knife-refactoring-plan.md (rejected approach)
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# ADR-002: Edge Cases Learned from MLX-Knife 1.x Test Suite
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## Status
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**Proposed** - 2025-08-26
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## Context
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MLX-Knife 1.x has 150+ tests covering numerous edge cases discovered during development. These tests represent critical knowledge about real-world usage patterns, failure modes, and subtle requirements that must be preserved in 2.0.
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## Extracted Edge Cases by Category
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### 1. Model Name Resolution
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**Critical Cases:**
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- **Short name expansion**: "Phi-3" → "mlx-community/Phi-3-mini-4k-instruct-4bit"
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- **Hash disambiguation**: When multiple models match, allow `#abc123` suffix
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- **Partial matching**: "Llama" matches all Llama models (ambiguous)
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- **Empty/whitespace names**: Must handle gracefully
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- **Invalid characters**: Names with multiple slashes, special chars
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- **Name length limits**: HuggingFace has 96 character limit
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**Implementation Requirements:**
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```python
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def resolve_model_name(name: str) -> tuple[str, Optional[str]]:
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# Returns (model_name, commit_hash)
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# Handle: "Phi-3", "Phi-3#abc123", "mlx-community/Phi-3", etc.
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# Max 96 chars validation
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# Graceful fallback for unknowns
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```
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### 2. Cache Directory Management
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**Critical Cases:**
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- **Round-trip conversion**: HF name ↔ cache dir must be bijective
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- **Special characters**: Org names with hyphens, dots
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- **Missing snapshots directory**: Model without snapshots/
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- **Multiple snapshots**: Same model, different commits
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- **Empty model directories**: Leftover from failed downloads
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- **Orphaned lock files**: .lock files without corresponding models
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**Implementation Requirements:**
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```python
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def cache_path_operations():
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# Must handle:
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# - models--org--name format
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# - snapshots/<hash>/ structure
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# - refs/ for branch tracking
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# - .lock cleanup on operations
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```
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### 3. Health Checking
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**Critical Cases:**
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- **LFS pointer files**: Detect Git LFS placeholders (not actual weights)
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- **Truncated safetensors**: Partial downloads appearing valid
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- **Missing config.json**: Model without configuration
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- **Missing tokenizer files**: No tokenizer_config.json
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- **Framework detection**: MLX vs PyTorch vs Tokenizer-only
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- **Symlink handling**: Don't follow dangerous symlinks
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- **Race conditions**: Health check during active download
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**Framework Detection Logic (TRICKY!):**
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```python
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def detect_framework(model_path, hf_name):
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# Quick win: mlx-community models are always MLX
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if "mlx-community" in hf_name:
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return "MLX"
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# Check actual files
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has_safetensors = any(path.glob("*/*.safetensors"))
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has_pytorch = any(path.glob("*/pytorch_model.bin"))
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has_config = any(path.glob("*/config.json"))
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total_size = get_model_size(model_path)
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# Edge case: Tokenizer-only "models" (< 10MB)
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if total_size < 10 * 1024 * 1024: # 10MB threshold
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return "Tokenizer"
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# Priority order matters!
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if has_safetensors and has_config:
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return "MLX" # Assume safetensors = MLX
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elif has_pytorch:
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return "PyTorch"
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else:
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return "Unknown"
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# PROBLEM: This heuristic fails for:
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# - Non-mlx-community MLX models
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# - Mixed framework models
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# - Models with both .safetensors and .bin files
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```
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**For 2.0:**
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- Health checks should work for ALL frameworks
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- Don't filter by framework in health command
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- Show framework in output but don't block operations
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**LFS Pointer Detection Pattern:**
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```python
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def is_lfs_pointer(file_path):
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# Check for:
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# - File size < 1KB for .safetensors
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# - Content starts with "version https://git-lfs"
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# - "oid sha256:" in first 200 bytes
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```
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### 4. Delete Operations (rm command)
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**Critical Cases (Issue #23 regression):**
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- **Force flag behavior**: `-f` must skip ALL confirmations
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- **Interactive prompts**: Must respect user input exactly
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- **Lock file cleanup**: Remove .lock files with model
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- **Partial deletion recovery**: Handle interrupted deletes
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- **Permission errors**: Read-only files, system dirs
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- **Non-existent models**: Graceful error messages
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**Implementation Requirements:**
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```python
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def remove_model(name: str, force: bool = False):
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# MUST respect force flag completely
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# Clean .lock files ALWAYS
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# Atomic operation or rollback
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```
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### 5. Server Mode Edge Cases
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**Critical Cases (Issues #14, #15, #16):**
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- **Token limits**: Respect model's actual context length
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- **Self-conversation bug**: Messages accumulating incorrectly
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- **Streaming vs non-streaming**: End tokens must match
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- **Concurrent requests**: Model loading race conditions
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- **Port conflicts**: Handle "address already in use"
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- **SIGTERM handling**: Clean shutdown (Issue #18 known limitation)
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- **Memory management**: Proper cleanup after each request
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**Token Limit Strategy:**
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```python
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def get_safe_token_limit(model_path: Path, is_server: bool):
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# Extract from config.json:
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# - max_position_embeddings (priority 1)
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# - n_positions (priority 2)
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# - context_length (priority 3)
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# Server mode: min(model_limit, 8192) # DOS protection
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# Interactive: model_limit or 4096 default
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```
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### 6. Download & Network Operations
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**Critical Cases:**
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- **Network timeouts**: Graceful handling, clear messages
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- **Partial downloads**: Resume or clean restart
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- **Invalid repo names**: Early validation before network call
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- **Rate limiting**: Respect HF rate limits
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- **Disk space**: Check before download starts
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- **Concurrent downloads**: Prevent duplicate downloads
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### 7. Process Lifecycle
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**Critical Cases:**
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- **Zombie processes**: Clean up on parent crash
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- **Resource leaks**: File handles, network connections
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- **Lock starvation**: Prevent infinite lock waiting
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- **Signal handling**: SIGINT, SIGTERM, SIGKILL
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- **Timeout handling**: Commands taking too long
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### 8. Test Isolation Requirements
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**Critical Cases:**
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- **Cache pollution**: Tests must NEVER touch user's ~/.cache/huggingface
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- **Temporary test cache**: Use isolated temp directory for ALL tests
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- **Parallel execution**: Tests must be independent
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- **Cleanup verification**: Ensure complete cleanup after each test
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- **Mock boundaries**: What to mock vs real
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- **Deterministic output**: Consistent across runs
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**Implementation Pattern:**
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```python
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# conftest.py - CRITICAL for 2.0 tests
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import tempfile
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import os
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from pathlib import Path
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@pytest.fixture
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def isolated_cache(monkeypatch):
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"""EVERY test MUST use this to avoid user cache pollution."""
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with tempfile.TemporaryDirectory() as tmpdir:
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test_cache = Path(tmpdir) / "huggingface/hub"
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test_cache.mkdir(parents=True)
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# Override environment for complete isolation
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monkeypatch.setenv("HF_HOME", str(tmpdir / "huggingface"))
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monkeypatch.setenv("TMPDIR", str(tmpdir))
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# Also patch any direct references in code
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monkeypatch.setattr("mlxk2.core.cache.CACHE_ROOT", test_cache.parent)
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monkeypatch.setattr("mlxk2.core.cache.MODEL_CACHE", test_cache)
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yield test_cache
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# Cleanup is automatic with TemporaryDirectory
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# EVERY test MUST use it:
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def test_list_models(isolated_cache):
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# This test cannot pollute user cache
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result = list_models()
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assert result["models"] == []
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```
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## JSON-Specific Edge Cases for 2.0
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### 1. Output Consistency
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- **Error format**: Always valid JSON even on crash
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- **Partial results**: Stream vs complete JSON
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- **Unicode handling**: Proper escaping in JSON
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- **Large outputs**: Streaming JSON for big lists
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- **Number precision**: Float representation
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### 2. Backward Compatibility
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- **Exit codes**: Must match 1.x behavior
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- **Error messages**: Similar enough for scripts
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- **Model resolution**: Same fuzzy matching
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- **Path handling**: Same cache structure
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## Implementation Checklist for 2.0
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### Phase 1: Core Robustness (alpha0)
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- [ ] Model name validation (96 char limit)
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- [ ] Cache directory round-trip conversion
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- [ ] Basic health checks (file existence)
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- [ ] Force flag in rm command
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- [ ] JSON error handling
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### Phase 2: Advanced Edge Cases (alpha1)
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- [ ] LFS pointer detection
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- [ ] Hash disambiguation
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- [ ] Lock file cleanup
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- [ ] Partial match warnings
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- [ ] Network timeout handling
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|
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### Phase 3: Server Integration (beta1)
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- [ ] Token limit extraction
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- [ ] Memory cleanup patterns
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- [ ] Streaming JSON support
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- [ ] Concurrent request handling
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## Testing Strategy for 2.0
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### Unit Tests (30-40 tests)
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Focus on pure functions:
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- Name resolution logic
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- Path conversions
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- JSON serialization
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- Error formatting
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### Integration Tests (20-30 tests)
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Real operations with mock cache:
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- Health checks on various states
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- Delete operations with locks
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- List with mixed frameworks
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- Error recovery paths
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### No Need to Port
|
||||
- UI/formatting tests (JSON-only now)
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- Server streaming format tests
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- Terminal color tests
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- Progress bar tests
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## Patterns to Preserve
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||||
|
||||
### 1. Fail-Fast with Clear Errors
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```python
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if len(model_name) > 96:
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return {
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"status": "error",
|
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"error": {
|
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"type": "ValidationError",
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"message": f"Model name too long: {len(model_name)}/96"
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||||
}
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||||
}
|
||||
```
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||||
|
||||
### 2. Defensive File Operations
|
||||
```python
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# Always check exists before operations
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if not path.exists():
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return None # Don't throw, return None
|
||||
|
||||
# Always use Path, not strings
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path = Path(model_path)
|
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```
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||||
|
||||
### 3. Atomic Operations
|
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```python
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# Either complete fully or rollback
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try:
|
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shutil.rmtree(model_path)
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remove_lock_files(model_name)
|
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except Exception as e:
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# Log but don't partially delete
|
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pass
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```
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## Key Learnings
|
||||
|
||||
1. **Users expect fuzzy matching** - "Phi" should find Phi models
|
||||
2. **Force flags must be absolute** - No prompts when -f is used
|
||||
3. **Lock files cause problems** - Always clean them up
|
||||
4. **LFS pointers fool naive checks** - Must detect explicitly
|
||||
5. **Token limits prevent crashes** - Respect model capabilities
|
||||
6. **Health checks save debugging time** - Worth the complexity
|
||||
7. **Network operations fail often** - Timeout and retry logic essential
|
||||
8. **Cache corruption is common** - Robust detection critical
|
||||
|
||||
## Decision Outcome
|
||||
|
||||
These edge cases represent hard-won knowledge from production usage. The 2.0 implementation MUST handle these cases correctly to maintain user trust and functionality, even while moving to JSON-only output.
|
||||
|
||||
## References
|
||||
- Issue #14: Self-conversation bug
|
||||
- Issue #15/16: Token limit race conditions
|
||||
- Issue #18: Server signal handling
|
||||
- Issue #23: Force flag regression
|
||||
- Test suite: 150+ tests in tests/
|
||||
@@ -0,0 +1,26 @@
|
||||
# Architecture Decision Records (ADRs)
|
||||
|
||||
## Overview
|
||||
|
||||
This directory contains Architecture Decision Records (ADRs) that document significant architectural and design decisions for the MLX-Knife project.
|
||||
|
||||
## Active ADRs
|
||||
|
||||
| ADR | Title | Status | Date |
|
||||
|-----|-------|--------|------|
|
||||
| [ADR-001](ADR-001-json-api-strategy.md) | JSON API Strategy & 2.0 Migration Path | Proposed | 2025-08-26 |
|
||||
| [ADR-002](ADR-002-edge-cases.md) | Edge Cases from 1.x Test Suite | Proposed | 2025-08-26 |
|
||||
|
||||
## ADR Format
|
||||
|
||||
Each ADR follows this structure:
|
||||
- **Status**: Proposed / Accepted / Rejected / Superseded
|
||||
- **Context**: Why this decision is needed
|
||||
- **Decision**: What we decided to do
|
||||
- **Consequences**: What happens as a result
|
||||
|
||||
## Related Documents
|
||||
|
||||
- [2.0 Implementation Plan](../development/2.0-implementation-plan.md)
|
||||
- [GitHub Issue #8](https://github.com/mzau/mlx-knife/issues/8) - JSON API Feature Request
|
||||
- [Refactoring Analysis](../development/refactoring-analysis.md) - Why we chose clean-room over refactoring
|
||||
@@ -0,0 +1,405 @@
|
||||
# MLX-Knife 2.0 Implementation Plan
|
||||
|
||||
## Executive Summary
|
||||
|
||||
Clean-room implementation of MLX-Knife with JSON-first architecture for broke-cluster automation.
|
||||
Start: Immediately | Target: 2.0.0-alpha0 in 4 hours, stable in 6-8 weeks
|
||||
|
||||
## Session-by-Session Breakdown
|
||||
|
||||
### Session 1: Bootstrap (4 hours)
|
||||
**Goal**: Working 2.0.0-alpha0 for broke-cluster
|
||||
|
||||
**Setup (30 min):**
|
||||
```bash
|
||||
# Create new repo structure
|
||||
cd /Volumes/mz-SSD/gitprojekte/
|
||||
mkdir mlx-knife-2
|
||||
cd mlx-knife-2
|
||||
git init
|
||||
git remote add origin <repo-url>
|
||||
|
||||
# Initial structure
|
||||
mkdir -p mlxk2/{core,operations,output}
|
||||
touch mlxk2/__init__.py
|
||||
touch mlxk2/cli.py
|
||||
touch pyproject.toml
|
||||
touch README.md
|
||||
```
|
||||
|
||||
**Core Implementation (3 hours):**
|
||||
```python
|
||||
# mlxk2/core/cache.py (50 lines)
|
||||
- HF_CACHE_ROOT constant
|
||||
- hf_to_cache_dir()
|
||||
- cache_dir_to_hf()
|
||||
- get_model_path()
|
||||
|
||||
# mlxk2/core/discovery.py (100 lines)
|
||||
- find_all_models()
|
||||
- expand_model_name()
|
||||
- resolve_model()
|
||||
|
||||
# mlxk2/operations/list.py (50 lines)
|
||||
- list_models() -> dict
|
||||
|
||||
# mlxk2/operations/show.py (50 lines)
|
||||
- show_model(name) -> dict
|
||||
|
||||
# mlxk2/output/json.py (30 lines)
|
||||
- format_output(data, error=None)
|
||||
- format_error(type, message)
|
||||
|
||||
# mlxk2/cli.py (100 lines)
|
||||
- main() entry point
|
||||
- Command routing
|
||||
- JSON output only
|
||||
```
|
||||
|
||||
**Testing (30 min):**
|
||||
```bash
|
||||
# Manual test
|
||||
python -m mlxk2.cli list
|
||||
python -m mlxk2.cli show Phi-3
|
||||
|
||||
# Verify JSON output
|
||||
python -m mlxk2.cli list | jq .
|
||||
```
|
||||
|
||||
**Deliverable**: Working `mlxk2 list` and `mlxk2 show` with JSON output
|
||||
|
||||
---
|
||||
|
||||
### Session 2: Robust Operations (4 hours)
|
||||
**Goal**: Add health, pull, rm commands with edge case handling
|
||||
|
||||
**Health Checking (1.5 hours):**
|
||||
```python
|
||||
# mlxk2/core/health.py (150 lines)
|
||||
- is_lfs_pointer() # Critical!
|
||||
- check_config_exists()
|
||||
- check_tokenizer_exists()
|
||||
- check_weights_valid()
|
||||
- get_model_health(path) -> HealthStatus
|
||||
|
||||
# mlxk2/operations/health.py (50 lines)
|
||||
- health_check(name=None) -> dict
|
||||
```
|
||||
|
||||
**Pull Operation (1 hour):**
|
||||
```python
|
||||
# mlxk2/operations/pull.py (100 lines)
|
||||
- validate_model_name() # 96 char limit!
|
||||
- pull_model(name) -> dict
|
||||
- Use huggingface_hub.snapshot_download directly
|
||||
```
|
||||
|
||||
**Remove Operation (1 hour):**
|
||||
```python
|
||||
# mlxk2/operations/remove.py (80 lines)
|
||||
- remove_model(name, force=False) -> dict
|
||||
- MUST handle force flag correctly (Issue #23)
|
||||
- MUST clean .lock files
|
||||
```
|
||||
|
||||
**Integration (30 min):**
|
||||
- Wire up commands in cli.py
|
||||
- Test each operation
|
||||
- Verify edge cases from ADR-002
|
||||
|
||||
**Deliverable**: Complete CLI with all basic commands
|
||||
|
||||
---
|
||||
|
||||
### Session 3: Test Suite Foundation (3 hours)
|
||||
**Goal**: Automated test coverage for alpha0 functionality
|
||||
|
||||
**Test Structure:**
|
||||
```bash
|
||||
tests/
|
||||
├── conftest.py # CRITICAL: isolated_cache fixture
|
||||
├── test_core.py # Pure functions
|
||||
├── test_operations.py # Command tests
|
||||
└── test_edge_cases.py # From ADR-002
|
||||
```
|
||||
|
||||
**CRITICAL - conftest.py must include:**
|
||||
```python
|
||||
@pytest.fixture
|
||||
def isolated_cache(monkeypatch):
|
||||
"""Prevents ANY test from touching user's cache."""
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
test_cache = Path(tmpdir) / "huggingface/hub"
|
||||
test_cache.mkdir(parents=True)
|
||||
monkeypatch.setenv("HF_HOME", str(tmpdir / "huggingface"))
|
||||
# Patch all cache references
|
||||
yield test_cache
|
||||
```
|
||||
|
||||
**Core Tests (1 hour):**
|
||||
```python
|
||||
# test_core.py
|
||||
- test_hf_cache_round_trip()
|
||||
- test_model_name_expansion()
|
||||
- test_invalid_names()
|
||||
- test_96_char_limit()
|
||||
```
|
||||
|
||||
**Operation Tests (1 hour):**
|
||||
```python
|
||||
# test_operations.py
|
||||
- test_list_empty_cache()
|
||||
- test_list_with_models()
|
||||
- test_show_existing()
|
||||
- test_rm_force_flag()
|
||||
```
|
||||
|
||||
**Edge Case Tests (1 hour):**
|
||||
```python
|
||||
# test_edge_cases.py
|
||||
- test_lfs_pointer_detection()
|
||||
- test_lock_file_cleanup()
|
||||
- test_partial_model_handling()
|
||||
```
|
||||
|
||||
**Deliverable**: 30+ passing tests, CI ready
|
||||
|
||||
---
|
||||
|
||||
### Session 4: Production Hardening (4 hours)
|
||||
**Goal**: Make alpha1 production-ready for broke-cluster
|
||||
|
||||
**Error Handling (1 hour):**
|
||||
- Consistent error JSON format
|
||||
- Graceful degradation
|
||||
- Timeout handling
|
||||
- Network retry logic
|
||||
|
||||
**Performance (1 hour):**
|
||||
- Optimize model discovery
|
||||
- Parallel health checks
|
||||
- Caching where appropriate
|
||||
|
||||
**Documentation (1 hour):**
|
||||
```markdown
|
||||
# README.md
|
||||
- Installation
|
||||
- JSON schema documentation
|
||||
- Migration from 1.x
|
||||
- broke-cluster examples
|
||||
```
|
||||
|
||||
**Packaging (1 hour):**
|
||||
```toml
|
||||
# pyproject.toml
|
||||
[project]
|
||||
name = "mlx-knife2"
|
||||
version = "2.0.0-alpha1"
|
||||
```
|
||||
|
||||
**Deliverable**: PyPI-ready package
|
||||
|
||||
---
|
||||
|
||||
### Session 5: Server Mode Port (6 hours)
|
||||
**Goal**: Add server functionality (beta1)
|
||||
|
||||
**Server Foundation (3 hours):**
|
||||
```python
|
||||
# mlxk2/server.py
|
||||
- FastAPI app
|
||||
- /v1/models endpoint
|
||||
- /v1/chat/completions endpoint
|
||||
- Token limit handling from ADR-002
|
||||
```
|
||||
|
||||
**Model Loading (2 hours):**
|
||||
```python
|
||||
# mlxk2/runner.py
|
||||
- Port minimal MLXRunner
|
||||
- Memory management
|
||||
- Context length extraction
|
||||
```
|
||||
|
||||
**Testing (1 hour):**
|
||||
- Server startup/shutdown
|
||||
- Endpoint testing
|
||||
- Token limit validation
|
||||
|
||||
**Deliverable**: Working server mode
|
||||
|
||||
---
|
||||
|
||||
### Session 6: Migration & Polish (4 hours)
|
||||
**Goal**: Ready for release
|
||||
|
||||
**Compatibility Tests (2 hours):**
|
||||
- Compare output with 1.x
|
||||
- Verify cache compatibility
|
||||
- Test migration scenarios
|
||||
|
||||
**Documentation (1 hour):**
|
||||
- Complete API documentation
|
||||
- Migration guide
|
||||
- Changelog
|
||||
|
||||
**Release Prep (1 hour):**
|
||||
- Version bump to 2.0.0-rc1
|
||||
- GitHub release notes
|
||||
- PyPI upload
|
||||
|
||||
**Deliverable**: Release candidate
|
||||
|
||||
---
|
||||
|
||||
## File Structure Summary
|
||||
|
||||
```
|
||||
mlx-knife-2/
|
||||
├── mlxk2/
|
||||
│ ├── __init__.py
|
||||
│ ├── cli.py # Entry point (100 lines)
|
||||
│ ├── core/
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── cache.py # Cache paths (50 lines)
|
||||
│ │ ├── discovery.py # Model finding (100 lines)
|
||||
│ │ └── health.py # Health checks (150 lines)
|
||||
│ ├── operations/
|
||||
│ │ ├── __init__.py
|
||||
│ │ ├── list.py # List command (50 lines)
|
||||
│ │ ├── show.py # Show command (50 lines)
|
||||
│ │ ├── pull.py # Pull command (100 lines)
|
||||
│ │ ├── remove.py # Remove command (80 lines)
|
||||
│ │ └── health.py # Health command (50 lines)
|
||||
│ ├── output/
|
||||
│ │ ├── __init__.py
|
||||
│ │ └── json.py # JSON formatting (30 lines)
|
||||
│ ├── server.py # Server mode (300 lines)
|
||||
│ └── runner.py # Model runner (200 lines)
|
||||
├── tests/
|
||||
│ ├── conftest.py
|
||||
│ ├── test_core.py
|
||||
│ ├── test_operations.py
|
||||
│ └── test_edge_cases.py
|
||||
├── pyproject.toml
|
||||
├── README.md
|
||||
├── CHANGELOG.md
|
||||
└── LICENSE
|
||||
```
|
||||
|
||||
**Total Lines**: ~1200 (vs 3000+ in 1.x)
|
||||
|
||||
## Risk Mitigation Checklist
|
||||
|
||||
### Before Each Session:
|
||||
- [ ] Review relevant ADR sections
|
||||
- [ ] Check Issue tracker for new findings
|
||||
- [ ] Backup current progress
|
||||
|
||||
### After Each Session:
|
||||
- [ ] Run all tests
|
||||
- [ ] Compare output with 1.x
|
||||
- [ ] Update documentation
|
||||
- [ ] Commit with clear message
|
||||
|
||||
### Critical Validations:
|
||||
- [ ] Force flag works correctly (Issue #23)
|
||||
- [ ] Lock files are cleaned up
|
||||
- [ ] LFS pointers detected
|
||||
- [ ] 96 char name limit enforced
|
||||
- [ ] JSON always valid (even on error)
|
||||
- [ ] Token limits respected
|
||||
|
||||
## Success Metrics
|
||||
|
||||
### Alpha0 (Session 1):
|
||||
- [ ] List command works
|
||||
- [ ] JSON output valid
|
||||
- [ ] broke-cluster can parse output
|
||||
|
||||
### Alpha1 (Session 4):
|
||||
- [ ] All basic commands work
|
||||
- [ ] 30+ tests passing
|
||||
- [ ] Edge cases handled
|
||||
|
||||
### Beta1 (Session 5):
|
||||
- [ ] Server mode works
|
||||
- [ ] Feature parity (except formatting)
|
||||
- [ ] Performance acceptable
|
||||
|
||||
### RC1 (Session 6):
|
||||
- [ ] Migration guide complete
|
||||
- [ ] No known bugs
|
||||
- [ ] Community tested
|
||||
|
||||
## Go/No-Go Criteria
|
||||
|
||||
### Proceed to Next Phase If:
|
||||
✅ Current phase tests pass
|
||||
✅ No blocking bugs
|
||||
✅ Performance acceptable
|
||||
✅ JSON schema stable
|
||||
|
||||
### Stop and Reassess If:
|
||||
❌ Core assumption wrong
|
||||
❌ Complexity exceeding estimates
|
||||
❌ Breaking changes needed
|
||||
❌ Performance regression
|
||||
|
||||
## Timeline Summary
|
||||
|
||||
**Week 1:**
|
||||
- Day 1: Sessions 1-2 (alpha0)
|
||||
- Day 2: Session 3 (tests)
|
||||
- Day 3: Session 4 (alpha1)
|
||||
- Day 4-5: broke-cluster testing
|
||||
|
||||
**Week 2:**
|
||||
- Session 5 (server mode)
|
||||
- Community feedback
|
||||
- Bug fixes
|
||||
|
||||
**Week 3-4:**
|
||||
- Session 6 (polish)
|
||||
- Beta testing
|
||||
- Documentation
|
||||
|
||||
**Week 5-6:**
|
||||
- Release candidates
|
||||
- Production validation
|
||||
- 2.0.0 release
|
||||
|
||||
## Notes for Implementation
|
||||
|
||||
1. **Start Simple**: Get list/show working first
|
||||
2. **JSON First**: No dual format complexity
|
||||
3. **Test Early**: Write tests as you go
|
||||
4. **Document Everything**: Capture decisions
|
||||
5. **Compare Constantly**: Validate against 1.x
|
||||
|
||||
## Command Quick Reference
|
||||
|
||||
```bash
|
||||
# Development
|
||||
python -m mlxk2.cli list
|
||||
python -m mlxk2.cli show Phi-3
|
||||
python -m mlxk2.cli health
|
||||
python -m mlxk2.cli pull mlx-community/model
|
||||
python -m mlxk2.cli rm model -f
|
||||
|
||||
# Testing
|
||||
pytest tests/ -xvs
|
||||
pytest tests/test_edge_cases.py
|
||||
|
||||
# Comparison
|
||||
mlxk list | head -20
|
||||
python -m mlxk2.cli list | jq .
|
||||
|
||||
# broke-cluster usage
|
||||
mlxk2 list | jq -r '.models[].name'
|
||||
mlxk2 health | jq '.summary'
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
This plan provides a clear, session-by-session roadmap to implement MLX-Knife 2.0 with JSON-first architecture while maintaining the robustness of 1.x.
|
||||
@@ -0,0 +1,444 @@
|
||||
# MLX-Knife Refactoring Strategy v1.1.1
|
||||
|
||||
## Executive Summary
|
||||
|
||||
**Goal**: Refactor `cache_utils.py` (1000+ lines) into modular components while adding Issue #8 (model caching) and Issue #26 (embeddings API) fixes.
|
||||
|
||||
**Strategy**: Test-driven refactoring FIRST, then add features on clean codebase.
|
||||
|
||||
**Timeline**: 3 days (beta1 → beta2 → stable)
|
||||
|
||||
## Current Situation
|
||||
|
||||
### Problems
|
||||
- `cache_utils.py`: 1000+ lines "God Module"
|
||||
- **Token costs**: ~4000 tokens per Claude request for full file
|
||||
- **Issue #8**: Models reload on every `mlxk run` (10-30s penalty)
|
||||
- **Issue #26**: Missing embeddings API for RAG/agent use cases
|
||||
- **Code coupling**: Everything depends on everything
|
||||
|
||||
### Assets
|
||||
- ✅ **150 passing tests** as safety net
|
||||
- ✅ Clean public API (CLI commands)
|
||||
- ✅ Version 1.1.0 stable as fallback
|
||||
- ✅ Good test coverage
|
||||
|
||||
## Dependency Analysis
|
||||
|
||||
```python
|
||||
# CORE FUNCTIONS (must stay together - 150 lines)
|
||||
hf_to_cache_dir() # Pure function, no deps
|
||||
cache_dir_to_hf() # Pure function, no deps
|
||||
expand_model_name() # Uses above
|
||||
parse_model_spec() # Uses expand_model_name
|
||||
|
||||
# LAYER 1: Path Resolution (200 lines)
|
||||
get_model_path() # Uses CORE
|
||||
find_matching_models() # Uses CORE
|
||||
hash_exists_in_local_cache() # Uses CORE
|
||||
resolve_single_model() # Uses all above
|
||||
|
||||
# LAYER 2: Model Info (250 lines) - EASILY EXTRACTABLE
|
||||
get_model_size() # Standalone
|
||||
get_model_modified() # Standalone
|
||||
detect_framework() # Standalone
|
||||
get_model_hash() # Standalone
|
||||
|
||||
# LAYER 3: Health (150 lines) - EASILY EXTRACTABLE
|
||||
check_lfs_corruption() # Standalone
|
||||
is_model_healthy() # Uses check_lfs_corruption
|
||||
check_model_health() # Uses resolve_single_model + is_model_healthy
|
||||
check_all_models_health() # Uses is_model_healthy
|
||||
|
||||
# LAYER 4: Operations (200 lines)
|
||||
list_models() # Uses LAYER 2 functions
|
||||
show_model() # Uses everything (but clean)
|
||||
rm_model() # Uses resolve_single_model
|
||||
|
||||
# OUTLIER: run_model() - DOESN'T BELONG HERE
|
||||
run_model() # Should be in cli.py or runner.py
|
||||
```
|
||||
|
||||
**Entanglement Score: 2/10** (Very easy to refactor!)
|
||||
|
||||
## Release Plan
|
||||
|
||||
### Version 1.1.1-beta1: Clean Refactoring (Day 1)
|
||||
|
||||
#### File Structure After Refactoring
|
||||
```
|
||||
mlx_knife/
|
||||
├── cache_utils.py # Backward compatibility re-exports only
|
||||
├── core/
|
||||
│ ├── __init__.py
|
||||
│ ├── paths.py # Core path functions (150 lines)
|
||||
│ ├── info.py # Model information (250 lines)
|
||||
│ ├── health.py # Health checks (150 lines)
|
||||
│ ├── operations.py # List, show, rm (200 lines)
|
||||
│ └── model_cache.py # NEW: LRU cache for Issue #8
|
||||
├── model_runner.py # Moved run_model() from cache_utils
|
||||
├── embeddings.py # NEW: Embedding extractor
|
||||
├── mlx_runner.py # Unchanged
|
||||
└── server.py # Updated to use new modules
|
||||
```
|
||||
|
||||
#### Implementation Steps
|
||||
|
||||
1. **Backup and prepare**
|
||||
```bash
|
||||
git checkout -b feature/1.1.1-refactor
|
||||
cp cache_utils.py cache_utils_backup.py
|
||||
pytest tests/ -v # Baseline: all green
|
||||
```
|
||||
|
||||
2. **Create modular structure**
|
||||
```bash
|
||||
mkdir -p mlx_knife/core
|
||||
touch mlx_knife/core/__init__.py
|
||||
```
|
||||
|
||||
3. **Split files** (manual or scripted)
|
||||
```python
|
||||
# mlx_knife/core/paths.py
|
||||
"""Core path and cache utilities."""
|
||||
from pathlib import Path
|
||||
import os
|
||||
|
||||
DEFAULT_CACHE_ROOT = Path.home() / ".cache/huggingface"
|
||||
CACHE_ROOT = Path(os.environ.get("HF_HOME", DEFAULT_CACHE_ROOT))
|
||||
MODEL_CACHE = CACHE_ROOT / "hub"
|
||||
|
||||
def hf_to_cache_dir(hf_name: str) -> str: ...
|
||||
def cache_dir_to_hf(cache_name: str) -> str: ...
|
||||
def expand_model_name(model_name): ...
|
||||
def parse_model_spec(model_spec): ...
|
||||
# etc.
|
||||
|
||||
# mlx_knife/core/info.py
|
||||
"""Model information utilities."""
|
||||
def get_model_size(model_path): ...
|
||||
def get_model_modified(model_path): ...
|
||||
def detect_framework(model_path, hf_name): ...
|
||||
def get_model_hash(model_path): ...
|
||||
|
||||
# mlx_knife/core/health.py
|
||||
"""Model health and validation."""
|
||||
def check_lfs_corruption(model_path): ...
|
||||
def is_model_healthy(model_spec): ...
|
||||
def check_model_health(model_spec): ...
|
||||
def check_all_models_health(): ...
|
||||
|
||||
# mlx_knife/core/operations.py
|
||||
"""Model operations (list, show, remove)."""
|
||||
def list_models(...): ...
|
||||
def show_model(...): ...
|
||||
def rm_model(...): ...
|
||||
```
|
||||
|
||||
4. **Create compatibility shim**
|
||||
```python
|
||||
# mlx_knife/cache_utils.py
|
||||
"""
|
||||
Backward compatibility module.
|
||||
All functions re-exported from their new locations.
|
||||
"""
|
||||
# Core paths - these stay as module-level exports
|
||||
from .core.paths import (
|
||||
MODEL_CACHE, CACHE_ROOT, DEFAULT_CACHE_ROOT,
|
||||
hf_to_cache_dir, cache_dir_to_hf,
|
||||
expand_model_name, parse_model_spec,
|
||||
get_model_path, find_matching_models,
|
||||
hash_exists_in_local_cache, resolve_single_model
|
||||
)
|
||||
|
||||
# Model info functions
|
||||
from .core.info import (
|
||||
get_model_size, get_model_modified,
|
||||
detect_framework, get_model_hash
|
||||
)
|
||||
|
||||
# Health checks
|
||||
from .core.health import (
|
||||
check_lfs_corruption, is_model_healthy,
|
||||
check_model_health, check_all_models_health
|
||||
)
|
||||
|
||||
# Operations
|
||||
from .core.operations import (
|
||||
list_models, show_model, rm_model
|
||||
)
|
||||
|
||||
# This moves elsewhere but maintain compatibility
|
||||
from .model_runner import run_model
|
||||
|
||||
__all__ = [
|
||||
# Paths
|
||||
'MODEL_CACHE', 'CACHE_ROOT', 'DEFAULT_CACHE_ROOT',
|
||||
'hf_to_cache_dir', 'cache_dir_to_hf',
|
||||
'expand_model_name', 'parse_model_spec',
|
||||
'get_model_path', 'find_matching_models',
|
||||
'hash_exists_in_local_cache', 'resolve_single_model',
|
||||
# Info
|
||||
'get_model_size', 'get_model_modified',
|
||||
'detect_framework', 'get_model_hash',
|
||||
# Health
|
||||
'check_lfs_corruption', 'is_model_healthy',
|
||||
'check_model_health', 'check_all_models_health',
|
||||
# Operations
|
||||
'list_models', 'show_model', 'rm_model',
|
||||
'run_model'
|
||||
]
|
||||
```
|
||||
|
||||
5. **Validate with tests**
|
||||
```bash
|
||||
pytest tests/ -xvs # Stop on first failure
|
||||
# Fix any import issues
|
||||
# Repeat until all 150 tests pass
|
||||
```
|
||||
|
||||
### Version 1.1.1-beta2: Add Features (Day 2)
|
||||
|
||||
#### Issue #8: Model Caching
|
||||
|
||||
```python
|
||||
# mlx_knife/core/model_cache.py
|
||||
"""LRU cache for loaded models to avoid reload overhead."""
|
||||
import time
|
||||
from typing import Dict, Optional, Tuple
|
||||
from ..mlx_runner import MLXRunner
|
||||
|
||||
class ModelCache:
|
||||
"""Simple LRU cache for loaded models."""
|
||||
|
||||
def __init__(self, max_models: int = 2):
|
||||
self._cache: Dict[str, Tuple[MLXRunner, float]] = {}
|
||||
self._max_models = max_models
|
||||
|
||||
def get_or_load(self, model_path: str, verbose: bool = False) -> MLXRunner:
|
||||
"""Get model from cache or load if not cached."""
|
||||
if model_path in self._cache:
|
||||
runner, _ = self._cache[model_path]
|
||||
self._cache[model_path] = (runner, time.time())
|
||||
if verbose:
|
||||
print(f"[CACHE] Model loaded from cache: {model_path}")
|
||||
return runner
|
||||
|
||||
# Evict oldest if cache full
|
||||
if len(self._cache) >= self._max_models:
|
||||
oldest_key = min(self._cache.items(), key=lambda x: x[1][1])[0]
|
||||
oldest_runner = self._cache[oldest_key][0]
|
||||
oldest_runner.cleanup()
|
||||
del self._cache[oldest_key]
|
||||
if verbose:
|
||||
print(f"[CACHE] Evicted model: {oldest_key}")
|
||||
|
||||
# Load new model
|
||||
if verbose:
|
||||
print(f"[CACHE] Loading new model: {model_path}")
|
||||
runner = MLXRunner(model_path, verbose=verbose)
|
||||
runner.load_model()
|
||||
self._cache[model_path] = (runner, time.time())
|
||||
return runner
|
||||
|
||||
def clear(self):
|
||||
"""Clear all cached models."""
|
||||
for runner, _ in self._cache.values():
|
||||
runner.cleanup()
|
||||
self._cache.clear()
|
||||
|
||||
# Global cache instance
|
||||
_model_cache = ModelCache()
|
||||
```
|
||||
|
||||
Update `model_runner.py`:
|
||||
```python
|
||||
from .core.model_cache import _model_cache
|
||||
|
||||
def run_model(model_spec, prompt=None, ...):
|
||||
model_path, model_name, commit_hash = resolve_single_model(model_spec)
|
||||
# Use cache instead of creating new runner
|
||||
runner = _model_cache.get_or_load(str(model_path), verbose=verbose)
|
||||
# ... rest of the function
|
||||
```
|
||||
|
||||
#### Issue #26: Embeddings API
|
||||
|
||||
```python
|
||||
# mlx_knife/embeddings.py
|
||||
"""Embedding extraction for MLX models."""
|
||||
import mlx.core as mx
|
||||
from typing import List, Tuple
|
||||
|
||||
class EmbeddingExtractor:
|
||||
"""Extract embeddings from any MLX model."""
|
||||
|
||||
def extract_embeddings(
|
||||
self,
|
||||
model,
|
||||
tokenizer,
|
||||
texts: List[str],
|
||||
normalize: bool = True,
|
||||
max_length: Optional[int] = None,
|
||||
verbose: bool = False
|
||||
) -> Tuple[List[List[float]], List[int]]:
|
||||
"""
|
||||
Extract raw embeddings from model.
|
||||
|
||||
Returns:
|
||||
Tuple of (embeddings, token_counts)
|
||||
"""
|
||||
embeddings = []
|
||||
token_counts = []
|
||||
|
||||
for text in texts:
|
||||
# Tokenize
|
||||
tokens = tokenizer.encode(
|
||||
text,
|
||||
max_length=max_length,
|
||||
truncation=True if max_length else False
|
||||
)
|
||||
token_counts.append(len(tokens))
|
||||
|
||||
# Get embeddings
|
||||
with mx.no_grad():
|
||||
token_array = mx.array([tokens])
|
||||
outputs = model(token_array)
|
||||
|
||||
# Extract hidden states
|
||||
if hasattr(outputs, 'last_hidden_state'):
|
||||
hidden = outputs.last_hidden_state
|
||||
elif isinstance(outputs, tuple):
|
||||
hidden = outputs[0]
|
||||
else:
|
||||
hidden = outputs
|
||||
|
||||
# Mean pooling
|
||||
embedding = mx.mean(hidden, axis=1).squeeze()
|
||||
|
||||
# Normalize
|
||||
if normalize:
|
||||
norm = mx.linalg.norm(embedding)
|
||||
if norm > 0:
|
||||
embedding = embedding / norm
|
||||
|
||||
embeddings.append(embedding.tolist())
|
||||
|
||||
return embeddings, token_counts
|
||||
```
|
||||
|
||||
Update `server.py`:
|
||||
```python
|
||||
from .embeddings import EmbeddingExtractor
|
||||
|
||||
@app.post("/v1/embeddings")
|
||||
async def create_embeddings(request: EmbeddingRequest):
|
||||
"""Embedding endpoint for rapid prototyping."""
|
||||
runner = get_or_load_model(request.model)
|
||||
extractor = EmbeddingExtractor()
|
||||
|
||||
inputs = request.input if isinstance(request.input, list) else [request.input]
|
||||
embeddings, token_counts = extractor.extract_embeddings(
|
||||
runner.model,
|
||||
runner.tokenizer,
|
||||
inputs,
|
||||
normalize=request.normalize,
|
||||
max_length=request.max_length
|
||||
)
|
||||
|
||||
return {
|
||||
"object": "list",
|
||||
"data": [
|
||||
{"object": "embedding", "embedding": emb, "index": i}
|
||||
for i, emb in enumerate(embeddings)
|
||||
],
|
||||
"model": request.model,
|
||||
"usage": {
|
||||
"prompt_tokens": sum(token_counts),
|
||||
"total_tokens": sum(token_counts)
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Version 1.1.1: Stable Release (Day 3)
|
||||
|
||||
1. **Final testing**
|
||||
```bash
|
||||
# Unit tests
|
||||
pytest tests/ -v
|
||||
|
||||
# Integration tests
|
||||
pytest tests/ -m integration
|
||||
|
||||
# Coverage report
|
||||
pytest tests/ --cov=mlx_knife --cov-report=term-missing
|
||||
```
|
||||
|
||||
2. **Performance validation**
|
||||
```bash
|
||||
# Before (without cache)
|
||||
time mlxk run Phi-3 "test1" # ~20s
|
||||
time mlxk run Phi-3 "test2" # ~20s
|
||||
|
||||
# After (with cache)
|
||||
time mlxk run Phi-3 "test1" # ~20s (first load)
|
||||
time mlxk run Phi-3 "test2" # ~0.5s (cached!)
|
||||
```
|
||||
|
||||
3. **Update documentation**
|
||||
- Add embeddings example to README
|
||||
- Document cache behavior
|
||||
- Update CHANGELOG
|
||||
|
||||
## Benefits
|
||||
|
||||
### Token Cost Reduction
|
||||
- **Before**: ~4000 tokens per file edit
|
||||
- **After**: ~600-800 tokens per focused module
|
||||
- **Savings**: 75-85% reduction
|
||||
|
||||
### Development Speed
|
||||
- Faster PR reviews (smaller files)
|
||||
- Better Claude interactions (focused context)
|
||||
- Easier debugging (isolated modules)
|
||||
- Parallel development possible
|
||||
|
||||
### Code Quality
|
||||
- Clear separation of concerns
|
||||
- No more 1000+ line files
|
||||
- Better testability
|
||||
- Easier to understand
|
||||
|
||||
## Risk Mitigation
|
||||
|
||||
1. **Test Suite**: 150 tests ensure no regressions
|
||||
2. **Backward Compatibility**: `cache_utils.py` re-exports everything
|
||||
3. **Incremental Approach**: Beta releases for validation
|
||||
4. **Fallback Plan**: v1.1.0 stable always available
|
||||
|
||||
## Success Metrics
|
||||
|
||||
- [ ] All 150 tests passing
|
||||
- [ ] Coverage > 90%
|
||||
- [ ] Issue #8 resolved (cache working)
|
||||
- [ ] Issue #26 implemented (embeddings API)
|
||||
- [ ] Token costs reduced by >70%
|
||||
- [ ] No breaking changes in public API
|
||||
|
||||
## Future Considerations
|
||||
|
||||
### 2.0.0 Decision Point
|
||||
After 1.1.1 stable, evaluate if 2.0.0 is needed:
|
||||
- If refactoring is clean enough → continue with 1.x
|
||||
- If major changes needed → branch to 2.0.0-alpha
|
||||
|
||||
### Next Refactoring Targets
|
||||
1. `server.py` (growing with embeddings)
|
||||
2. `cli.py` (could use command pattern)
|
||||
3. `mlx_runner.py` (consider splitting generation/chat)
|
||||
|
||||
---
|
||||
|
||||
*Document created: 2025-08-26*
|
||||
*Target release: MLX-Knife v1.1.1*
|
||||
*Refactoring philosophy: Test-driven, incremental, backward-compatible*
|
||||
@@ -0,0 +1,67 @@
|
||||
#!/usr/bin/env python3
|
||||
"""MLX-Knife 2.0 CLI - JSON-first architecture."""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import sys
|
||||
from typing import Dict, Any
|
||||
|
||||
from .operations.list import list_models
|
||||
|
||||
|
||||
def format_json_output(data: Dict[str, Any]) -> str:
|
||||
"""Format output as JSON."""
|
||||
return json.dumps(data, indent=2)
|
||||
|
||||
|
||||
def handle_error(error_type: str, message: str) -> Dict[str, Any]:
|
||||
"""Format error as JSON response."""
|
||||
return {
|
||||
"status": "error",
|
||||
"command": None,
|
||||
"data": None,
|
||||
"error": {
|
||||
"type": error_type,
|
||||
"message": message
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
def main():
|
||||
"""Main CLI entry point."""
|
||||
parser = argparse.ArgumentParser(
|
||||
prog="mlxk2",
|
||||
description="MLX-Knife 2.0 - JSON-first model management"
|
||||
)
|
||||
|
||||
subparsers = parser.add_subparsers(dest="command", help="Available commands")
|
||||
|
||||
# List command
|
||||
list_parser = subparsers.add_parser("list", help="List all cached models")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
try:
|
||||
if args.command == "list":
|
||||
result = list_models()
|
||||
elif args.command is None:
|
||||
result = handle_error("CommandError", "No command specified")
|
||||
else:
|
||||
result = handle_error("CommandError", f"Unknown command: {args.command}")
|
||||
|
||||
print(format_json_output(result))
|
||||
|
||||
# Exit with appropriate code
|
||||
if result["status"] == "error":
|
||||
sys.exit(1)
|
||||
else:
|
||||
sys.exit(0)
|
||||
|
||||
except Exception as e:
|
||||
error_result = handle_error("InternalError", str(e))
|
||||
print(format_json_output(error_result))
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,38 @@
|
||||
"""Cache management for MLX-Knife 2.0."""
|
||||
|
||||
import os
|
||||
from pathlib import Path
|
||||
|
||||
# Cache path constants - copied from mlx_knife/cache_utils.py
|
||||
DEFAULT_CACHE_ROOT = Path.home() / ".cache/huggingface"
|
||||
CACHE_ROOT = Path(os.environ.get("HF_HOME", DEFAULT_CACHE_ROOT))
|
||||
MODEL_CACHE = CACHE_ROOT / "hub"
|
||||
|
||||
|
||||
def hf_to_cache_dir(hf_name: str) -> str:
|
||||
"""Convert HuggingFace model name to cache directory name."""
|
||||
if hf_name.startswith("models--"):
|
||||
return hf_name
|
||||
if "/" in hf_name:
|
||||
org, model = hf_name.split("/", 1)
|
||||
return f"models--{org}--{model}"
|
||||
else:
|
||||
return f"models--{hf_name}"
|
||||
|
||||
|
||||
def cache_dir_to_hf(cache_name: str) -> str:
|
||||
"""Convert cache directory name to HuggingFace model name."""
|
||||
if cache_name.startswith("models--"):
|
||||
remaining = cache_name[len("models--"):]
|
||||
if "--" in remaining:
|
||||
parts = remaining.split("--", 1)
|
||||
return f"{parts[0]}/{parts[1]}"
|
||||
else:
|
||||
return remaining
|
||||
return cache_name
|
||||
|
||||
|
||||
def get_model_path(hf_name: str) -> Path:
|
||||
"""Get the full path to a model in the cache."""
|
||||
cache_dir = hf_to_cache_dir(hf_name)
|
||||
return MODEL_CACHE / cache_dir
|
||||
@@ -0,0 +1,47 @@
|
||||
"""List models operation for MLX-Knife 2.0."""
|
||||
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Any
|
||||
|
||||
from ..core.cache import MODEL_CACHE, cache_dir_to_hf
|
||||
|
||||
|
||||
def list_models() -> Dict[str, Any]:
|
||||
"""List all models in cache with JSON output."""
|
||||
models = []
|
||||
|
||||
if not MODEL_CACHE.exists():
|
||||
return {
|
||||
"status": "success",
|
||||
"command": "list",
|
||||
"data": {
|
||||
"models": models,
|
||||
"count": 0
|
||||
},
|
||||
"error": None
|
||||
}
|
||||
|
||||
# Find all model directories
|
||||
for model_dir in MODEL_CACHE.iterdir():
|
||||
if not model_dir.is_dir() or not model_dir.name.startswith("models--"):
|
||||
continue
|
||||
|
||||
hf_name = cache_dir_to_hf(model_dir.name)
|
||||
models.append({
|
||||
"name": hf_name,
|
||||
"cache_dir": model_dir.name,
|
||||
"path": str(model_dir)
|
||||
})
|
||||
|
||||
# Sort by name for consistent output
|
||||
models.sort(key=lambda x: x["name"])
|
||||
|
||||
return {
|
||||
"status": "success",
|
||||
"command": "list",
|
||||
"data": {
|
||||
"models": models,
|
||||
"count": len(models)
|
||||
},
|
||||
"error": None
|
||||
}
|
||||
Reference in New Issue
Block a user