mirror of
https://github.com/cloudstack-llc/mlx-knife.git
synced 2026-07-19 14:43:36 -04:00
mzfive
47af2c7096
- Fix #1: Partial name filtering for `mlxk list` command - Fix #2: Fuzzy matching for single-model commands - Fix #3: Default behavior for `mlxk health` (no --all flag required) - Expanded test suite to 104/104 tests passing
428 lines
17 KiB
Python
428 lines
17 KiB
Python
"""
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Unit tests for cache_utils.py module.
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Tests the core model management functions:
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- Model discovery and metadata extraction
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- Health checking logic
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- Cache operations
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"""
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import pytest
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import tempfile
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import shutil
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import json
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from pathlib import Path
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from unittest.mock import patch, MagicMock
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# Import the module under test
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from mlx_knife.cache_utils import (
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expand_model_name,
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hf_to_cache_dir,
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cache_dir_to_hf,
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is_model_healthy,
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detect_framework,
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list_models,
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find_matching_models,
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resolve_single_model
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)
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class TestModelNameExpansion:
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"""Test model name expansion logic."""
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def test_expand_short_names(self):
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"""Test expansion of common short model names."""
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test_cases = [
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("Phi-3-mini", "mlx-community/Phi-3-mini-4k-instruct-4bit"),
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("Mistral-7B", "mlx-community/Mistral-7B-Instruct-v0.3-4bit"),
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("Llama-3-8B", "mlx-community/Meta-Llama-3-8B-Instruct-4bit"),
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]
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for short_name, expected in test_cases:
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try:
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result = expand_model_name(short_name)
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# Should either expand correctly or return the original name
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assert isinstance(result, str)
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assert len(result) > 0
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except Exception as e:
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pytest.fail(f"expand_model_name failed for {short_name}: {e}")
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def test_expand_full_names(self):
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"""Test that full model names are returned unchanged."""
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full_names = [
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"mlx-community/Phi-3-mini-4k-instruct-4bit",
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"microsoft/Phi-3-mini-4k-instruct",
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"meta-llama/Llama-2-7b-chat-hf"
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]
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for full_name in full_names:
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try:
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result = expand_model_name(full_name)
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# Should return the name as-is or expand it
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assert isinstance(result, str)
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assert len(result) > 0
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except Exception as e:
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pytest.fail(f"expand_model_name failed for {full_name}: {e}")
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def test_expand_invalid_names(self):
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"""Test handling of invalid or nonsense model names."""
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invalid_names = [
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"definitely-not-a-model-12345",
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"",
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" ",
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"invalid/model/with/too/many/slashes"
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]
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for invalid_name in invalid_names:
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try:
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result = expand_model_name(invalid_name)
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# Should handle gracefully - either return input or raise appropriate error
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if result is not None:
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assert isinstance(result, str)
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except Exception:
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# It's OK to raise exceptions for invalid names
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pass
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class TestCacheDirectoryConversion:
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"""Test cache directory name conversion functions."""
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def test_hf_to_cache_dir(self):
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"""Test HuggingFace model name to cache directory conversion."""
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test_cases = [
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("microsoft/Phi-3-mini-4k-instruct", "models--microsoft--Phi-3-mini-4k-instruct"),
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("meta-llama/Llama-2-7b", "models--meta-llama--Llama-2-7b"),
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("simple-model", "models--simple-model"),
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]
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for hf_name, expected_cache_dir in test_cases:
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try:
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result = hf_to_cache_dir(hf_name)
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assert isinstance(result, str)
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# Should follow HF cache naming convention
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assert result.startswith("models--")
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assert "--" in result
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except Exception as e:
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pytest.fail(f"hf_to_cache_dir failed for {hf_name}: {e}")
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def test_cache_dir_to_hf(self):
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"""Test cache directory to HuggingFace model name conversion."""
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test_cases = [
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("models--microsoft--Phi-3-mini-4k-instruct", "microsoft/Phi-3-mini-4k-instruct"),
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("models--meta-llama--Llama-2-7b", "meta-llama/Llama-2-7b"),
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("models--simple-model", "simple-model"),
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]
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for cache_dir, expected_hf_name in test_cases:
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try:
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result = cache_dir_to_hf(cache_dir)
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assert isinstance(result, str)
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# Should reverse the cache directory format
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assert "/" in result or len(result.split("--")) == 1
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except Exception as e:
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pytest.fail(f"cache_dir_to_hf failed for {cache_dir}: {e}")
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def test_round_trip_conversion(self):
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"""Test that conversion functions are inverses."""
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test_names = [
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"microsoft/Phi-3-mini-4k-instruct",
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"simple-model",
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"org/model-name-with-dashes"
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]
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for original_name in test_names:
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try:
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cache_dir = hf_to_cache_dir(original_name)
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recovered_name = cache_dir_to_hf(cache_dir)
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assert recovered_name == original_name, \
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f"Round trip failed: {original_name} -> {cache_dir} -> {recovered_name}"
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except Exception as e:
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pytest.fail(f"Round trip conversion failed for {original_name}: {e}")
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class TestModelHealthCheck:
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"""Test model health checking logic."""
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def test_healthy_model_structure(self, temp_cache_dir):
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"""Test health check on properly structured model."""
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# Create a healthy model structure
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model_dir = temp_cache_dir / "models--test--model" / "snapshots" / "main"
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model_dir.mkdir(parents=True)
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# Create required files
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(model_dir / "config.json").write_text('{"model_type": "test", "architectures": ["TestModel"]}')
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(model_dir / "tokenizer.json").write_text('{"version": "1.0", "tokenizer": {}}')
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(model_dir / "model.safetensors").write_bytes(b"fake_model_weights" * 100)
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try:
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is_healthy = is_model_healthy(str(model_dir))
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# Should be True for healthy model
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assert isinstance(is_healthy, bool)
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except Exception as e:
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pytest.fail(f"Health check failed on healthy model: {e}")
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def test_missing_config_detection(self, temp_cache_dir):
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"""Test detection of missing config.json."""
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model_dir = temp_cache_dir / "models--test--model" / "snapshots" / "main"
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model_dir.mkdir(parents=True)
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# Missing config.json
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(model_dir / "tokenizer.json").write_text('{"version": "1.0"}')
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(model_dir / "model.safetensors").write_bytes(b"fake_weights")
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try:
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is_healthy = is_model_healthy(str(model_dir))
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# Should detect missing config
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assert isinstance(is_healthy, bool)
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# Likely should be False, but depends on implementation
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except Exception as e:
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# It's OK to raise exception for missing config
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pass
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def test_missing_tokenizer_detection(self, temp_cache_dir):
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"""Test detection of missing tokenizer.json."""
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model_dir = temp_cache_dir / "models--test--model" / "snapshots" / "main"
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model_dir.mkdir(parents=True)
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# Missing tokenizer.json
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(model_dir / "config.json").write_text('{"model_type": "test"}')
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(model_dir / "model.safetensors").write_bytes(b"fake_weights")
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try:
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is_healthy = is_model_healthy(str(model_dir))
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assert isinstance(is_healthy, bool)
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except Exception as e:
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# OK to raise exception for missing tokenizer
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pass
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def test_missing_model_weights(self, temp_cache_dir):
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"""Test detection of missing model weights."""
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model_dir = temp_cache_dir / "models--test--model" / "snapshots" / "main"
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model_dir.mkdir(parents=True)
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# Missing model files
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(model_dir / "config.json").write_text('{"model_type": "test"}')
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(model_dir / "tokenizer.json").write_text('{"version": "1.0"}')
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# No .safetensors files
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try:
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is_healthy = is_model_healthy(str(model_dir))
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assert isinstance(is_healthy, bool)
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except Exception as e:
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# OK to raise exception for missing weights
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pass
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def test_lfs_pointer_detection(self, temp_cache_dir):
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"""Test detection of LFS pointer files."""
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model_dir = temp_cache_dir / "models--test--model" / "snapshots" / "main"
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model_dir.mkdir(parents=True)
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(model_dir / "config.json").write_text('{"model_type": "test"}')
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(model_dir / "tokenizer.json").write_text('{"version": "1.0"}')
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# Create LFS pointer file instead of actual weights
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lfs_content = (
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"version https://git-lfs.github.com/spec/v1\n"
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"oid sha256:abc123def456\n"
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"size 1000000000\n"
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)
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(model_dir / "model.safetensors").write_text(lfs_content)
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try:
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is_healthy = is_model_healthy(str(model_dir))
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# Should detect LFS pointer as unhealthy
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assert isinstance(is_healthy, bool)
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except Exception as e:
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# OK to raise exception for LFS pointers
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pass
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def test_nonexistent_directory(self):
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"""Test health check on nonexistent directory."""
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nonexistent_path = "/this/path/definitely/does/not/exist"
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try:
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is_healthy = is_model_healthy(nonexistent_path)
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# Should handle gracefully
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assert isinstance(is_healthy, bool)
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assert is_healthy is False # Nonexistent should be unhealthy
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except Exception:
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# OK to raise exception for nonexistent path
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pass
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class TestFrameworkDetection:
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"""Test model framework detection logic."""
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def test_mlx_model_detection(self, temp_cache_dir):
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"""Test detection of MLX-compatible models."""
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model_dir = temp_cache_dir / "models--mlx-community--test-model" / "snapshots" / "main"
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model_dir.mkdir(parents=True)
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# Create MLX model config
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mlx_config = {
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"model_type": "llama",
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"architectures": ["LlamaForCausalLM"],
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"quantization": {"group_size": 64, "bits": 4} # MLX quantization
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}
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(model_dir / "config.json").write_text(json.dumps(mlx_config))
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(model_dir / "tokenizer.json").write_text('{"version": "1.0"}')
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(model_dir / "model.safetensors").write_bytes(b"mlx_weights")
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try:
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from pathlib import Path
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framework = detect_framework(Path(str(model_dir)), "mlx-community/test-model")
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assert isinstance(framework, str)
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# Should detect as MLX or compatible
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except Exception as e:
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pytest.fail(f"Framework detection failed on MLX model: {e}")
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def test_pytorch_model_detection(self, temp_cache_dir):
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"""Test detection of PyTorch models."""
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model_dir = temp_cache_dir / "models--pytorch--test-model" / "snapshots" / "main"
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model_dir.mkdir(parents=True)
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# Create PyTorch model config
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pytorch_config = {
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"model_type": "bert",
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"architectures": ["BertForSequenceClassification"],
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"torch_dtype": "float32"
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}
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(model_dir / "config.json").write_text(json.dumps(pytorch_config))
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(model_dir / "tokenizer.json").write_text('{"version": "1.0"}')
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(model_dir / "pytorch_model.bin").write_bytes(b"pytorch_weights")
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try:
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from pathlib import Path
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framework = detect_framework(Path(str(model_dir)), "pytorch/test-model")
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assert isinstance(framework, str)
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except Exception as e:
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pytest.fail(f"Framework detection failed on PyTorch model: {e}")
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class TestModelListing:
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"""Test model listing functionality."""
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@patch('mlx_knife.cache_utils.MODEL_CACHE')
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def test_list_models_empty_cache(self, mock_cache, temp_cache_dir):
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"""Test model listing in empty cache."""
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mock_cache.__str__ = lambda: str(temp_cache_dir)
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mock_cache.exists.return_value = True
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mock_cache.glob.return_value = []
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try:
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# list_models prints to stdout, so we test it doesn't crash
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list_models(verbose=False)
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except Exception as e:
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pytest.fail(f"Model listing failed on empty cache: {e}")
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@patch('mlx_knife.cache_utils.MODEL_CACHE')
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def test_list_models_basic_call(self, mock_cache, temp_cache_dir):
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"""Test basic model listing call."""
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mock_cache.__str__ = lambda: str(temp_cache_dir)
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mock_cache.exists.return_value = True
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mock_cache.glob.return_value = []
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try:
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# Test various parameter combinations
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list_models(show_all=True)
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list_models(framework_filter="MLX")
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list_models(show_health=True)
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except Exception as e:
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pytest.fail(f"Model listing with parameters failed: {e}")
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class TestPartialNameFiltering:
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"""Test partial name filtering for list command (Issue 1)."""
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def test_find_matching_models_function(self):
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"""Test the find_matching_models helper function."""
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with patch('mlx_knife.cache_utils.MODEL_CACHE') as mock_cache:
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# Mock some model directories
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mock_models = [
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MagicMock(name="models--mlx-community--Phi-3-mini"),
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MagicMock(name="models--mlx-community--Phi-3-medium"),
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MagicMock(name="models--other--Llama-3-8B"),
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]
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for i, mock_model in enumerate(mock_models):
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mock_model.name = f"models--{'mlx-community' if i < 2 else 'other'}--{'Phi-3-mini' if i == 0 else 'Phi-3-medium' if i == 1 else 'Llama-3-8B'}"
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mock_cache.iterdir.return_value = mock_models
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# Test finding Phi-3 models
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matches = find_matching_models("Phi-3")
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assert len(matches) == 2
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# Test finding non-existent model
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matches = find_matching_models("nonexistent")
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assert len(matches) == 0
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def test_partial_matching_basic_functionality(self):
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"""Test basic partial matching logic without complex mocking."""
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# Simple functional test of the helper functions
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try:
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# These functions exist and can be called
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assert callable(find_matching_models)
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# Function handles empty input gracefully
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matches = find_matching_models("")
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assert isinstance(matches, list)
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except Exception as e:
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pytest.fail(f"Basic functionality test failed: {e}")
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class TestSingleModelFuzzyMatching:
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"""Test fuzzy matching for single-model commands (Issue 2)."""
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def test_resolve_single_model_function_exists(self):
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"""Test that resolve_single_model function exists and is callable."""
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try:
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assert callable(resolve_single_model)
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# Function handles invalid input gracefully
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result = resolve_single_model("definitely-nonexistent-model-12345")
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assert isinstance(result, tuple)
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assert len(result) == 3
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except Exception as e:
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pytest.fail(f"Function existence test failed: {e}")
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@patch('mlx_knife.cache_utils.get_model_path')
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@patch('mlx_knife.cache_utils.find_matching_models')
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def test_resolve_single_model_ambiguous_fuzzy(self, mock_find, mock_get_path, capsys):
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"""Test ambiguous fuzzy match shows error."""
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# Mock exact match fails, fuzzy finds multiple matches
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mock_get_path.return_value = (None, None, None)
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mock_find.return_value = [
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(MagicMock(), "model-1"),
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(MagicMock(), "model-2")
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]
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result = resolve_single_model("partial")
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assert result[0] is None # Should fail
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# Check that error message was printed
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captured = capsys.readouterr()
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assert "Multiple models match" in captured.out
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assert "model-1" in captured.out
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assert "model-2" in captured.out
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@patch('mlx_knife.cache_utils.get_model_path')
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@patch('mlx_knife.cache_utils.find_matching_models')
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def test_resolve_single_model_no_match(self, mock_find, mock_get_path, capsys):
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"""Test no match shows appropriate error."""
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# Mock both exact and fuzzy matching fail
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mock_get_path.return_value = (None, None, None)
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mock_find.return_value = []
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result = resolve_single_model("nonexistent")
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assert result[0] is None # Should fail
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# Check error message
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captured = capsys.readouterr()
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assert "No models found matching" in captured.out
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# Add pytest fixture at module level
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@pytest.fixture
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def temp_cache_dir():
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"""Create temporary cache directory for testing."""
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with tempfile.TemporaryDirectory() as temp_dir:
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yield Path(temp_dir) |