wehub-resource-sync
472 lines
16 KiB
Python
472 lines
16 KiB
Python
# SPDX-License-Identifier: Apache-2.0
|
|
"""Tests for omlx.exceptions module."""
|
|
|
|
import pytest
|
|
|
|
from omlx.exceptions import (
|
|
# Base exception
|
|
OMLXError,
|
|
# Cache exceptions
|
|
CacheError,
|
|
CacheCorruptionError,
|
|
CacheMissError,
|
|
CacheEvictionError,
|
|
CacheStorageError,
|
|
# Scheduler exceptions
|
|
SchedulerError,
|
|
RequestError,
|
|
RequestNotFoundError,
|
|
RequestAbortedError,
|
|
BatchingError,
|
|
# Model exceptions
|
|
ModelError,
|
|
ModelLoadError,
|
|
ModelInferenceError,
|
|
TokenizerError,
|
|
# API exceptions
|
|
APIError,
|
|
InvalidRequestError,
|
|
RateLimitError,
|
|
AuthenticationError,
|
|
# Configuration exceptions
|
|
ConfigurationError,
|
|
# Memory exceptions
|
|
OMLXMemoryError,
|
|
OutOfMemoryError,
|
|
# Engine pool exceptions
|
|
EnginePoolError,
|
|
ModelNotFoundError,
|
|
ModelTooLargeError,
|
|
InsufficientMemoryError,
|
|
ModelLoadingError,
|
|
# MCP exceptions
|
|
MCPError,
|
|
MCPConnectionError,
|
|
MCPToolExecutionError,
|
|
# Helper function
|
|
is_cache_corruption_error,
|
|
CACHE_CORRUPTION_PATTERNS,
|
|
)
|
|
|
|
|
|
class TestOMLXError:
|
|
"""Test cases for base OMLXError exception."""
|
|
|
|
def test_basic_instantiation(self):
|
|
"""Test basic exception creation."""
|
|
error = OMLXError("Test error message")
|
|
assert str(error) == "Test error message"
|
|
assert error.message == "Test error message"
|
|
assert error.details == {}
|
|
|
|
def test_with_details(self):
|
|
"""Test exception with details dictionary."""
|
|
details = {"key": "value", "count": 42}
|
|
error = OMLXError("Error with details", details=details)
|
|
assert error.details == details
|
|
assert "details:" in str(error)
|
|
assert "key" in str(error)
|
|
|
|
def test_inheritance(self):
|
|
"""Test that OMLXError inherits from Exception."""
|
|
error = OMLXError("Test")
|
|
assert isinstance(error, Exception)
|
|
|
|
|
|
class TestCacheExceptions:
|
|
"""Test cases for cache-related exceptions."""
|
|
|
|
def test_cache_error_inheritance(self):
|
|
"""Test CacheError inherits from OMLXError."""
|
|
error = CacheError("Cache error")
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_cache_corruption_error(self):
|
|
"""Test CacheCorruptionError with all attributes."""
|
|
error = CacheCorruptionError(
|
|
"Cache data corrupted",
|
|
request_id="req-123",
|
|
block_id=42,
|
|
details={"reason": "invalid checksum"},
|
|
)
|
|
assert error.request_id == "req-123"
|
|
assert error.block_id == 42
|
|
assert isinstance(error, CacheError)
|
|
|
|
def test_cache_miss_error(self):
|
|
"""Test CacheMissError with key attribute."""
|
|
error = CacheMissError("Key not found", key="prefix_abc")
|
|
assert error.key == "prefix_abc"
|
|
assert isinstance(error, CacheError)
|
|
|
|
def test_cache_eviction_error(self):
|
|
"""Test CacheEvictionError inheritance."""
|
|
error = CacheEvictionError("No evictable entries")
|
|
assert isinstance(error, CacheError)
|
|
|
|
def test_cache_storage_error(self):
|
|
"""Test CacheStorageError with path and operation."""
|
|
error = CacheStorageError(
|
|
"Failed to write cache",
|
|
path="/tmp/cache/block_42.safetensors",
|
|
operation="write",
|
|
)
|
|
assert error.path == "/tmp/cache/block_42.safetensors"
|
|
assert error.operation == "write"
|
|
assert isinstance(error, CacheError)
|
|
|
|
|
|
class TestSchedulerExceptions:
|
|
"""Test cases for scheduler-related exceptions."""
|
|
|
|
def test_scheduler_error_inheritance(self):
|
|
"""Test SchedulerError inherits from OMLXError."""
|
|
error = SchedulerError("Scheduler error")
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_request_error(self):
|
|
"""Test RequestError with request_id."""
|
|
error = RequestError("Request failed", request_id="req-456")
|
|
assert error.request_id == "req-456"
|
|
assert isinstance(error, SchedulerError)
|
|
|
|
def test_request_not_found_error(self):
|
|
"""Test RequestNotFoundError inheritance chain."""
|
|
error = RequestNotFoundError("Request not found", request_id="req-789")
|
|
assert isinstance(error, RequestError)
|
|
assert isinstance(error, SchedulerError)
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_request_aborted_error(self):
|
|
"""Test RequestAbortedError."""
|
|
error = RequestAbortedError("Request aborted by user", request_id="req-abc")
|
|
assert isinstance(error, RequestError)
|
|
|
|
def test_batching_error(self):
|
|
"""Test BatchingError."""
|
|
error = BatchingError("Batch processing failed")
|
|
assert isinstance(error, SchedulerError)
|
|
|
|
|
|
class TestModelExceptions:
|
|
"""Test cases for model-related exceptions."""
|
|
|
|
def test_model_error_inheritance(self):
|
|
"""Test ModelError inherits from OMLXError."""
|
|
error = ModelError("Model error")
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_model_load_error(self):
|
|
"""Test ModelLoadError with model_name."""
|
|
error = ModelLoadError(
|
|
"Failed to load model",
|
|
model_name="llama-3.1-8b",
|
|
)
|
|
assert error.model_name == "llama-3.1-8b"
|
|
assert isinstance(error, ModelError)
|
|
|
|
def test_model_inference_error(self):
|
|
"""Test ModelInferenceError."""
|
|
error = ModelInferenceError("Inference failed")
|
|
assert isinstance(error, ModelError)
|
|
|
|
def test_tokenizer_error(self):
|
|
"""Test TokenizerError."""
|
|
error = TokenizerError("Tokenization failed")
|
|
assert isinstance(error, ModelError)
|
|
|
|
|
|
class TestAPIExceptions:
|
|
"""Test cases for API-related exceptions."""
|
|
|
|
def test_api_error_inheritance(self):
|
|
"""Test APIError inherits from OMLXError."""
|
|
error = APIError("API error")
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_invalid_request_error(self):
|
|
"""Test InvalidRequestError with field attribute."""
|
|
error = InvalidRequestError("Invalid field value", field="temperature")
|
|
assert error.field == "temperature"
|
|
assert isinstance(error, APIError)
|
|
|
|
def test_rate_limit_error(self):
|
|
"""Test RateLimitError."""
|
|
error = RateLimitError("Rate limit exceeded")
|
|
assert isinstance(error, APIError)
|
|
|
|
def test_authentication_error(self):
|
|
"""Test AuthenticationError."""
|
|
error = AuthenticationError("Invalid API key")
|
|
assert isinstance(error, APIError)
|
|
|
|
|
|
class TestConfigurationError:
|
|
"""Test cases for ConfigurationError."""
|
|
|
|
def test_configuration_error(self):
|
|
"""Test ConfigurationError with config_key."""
|
|
error = ConfigurationError(
|
|
"Invalid configuration",
|
|
config_key="max_tokens",
|
|
)
|
|
assert error.config_key == "max_tokens"
|
|
assert isinstance(error, OMLXError)
|
|
|
|
|
|
class TestMemoryExceptions:
|
|
"""Test cases for memory-related exceptions."""
|
|
|
|
def test_omlx_memory_error_inheritance(self):
|
|
"""Test OMLXMemoryError inherits from OMLXError."""
|
|
error = OMLXMemoryError("Memory error")
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_out_of_memory_error(self):
|
|
"""Test OutOfMemoryError with memory attributes."""
|
|
error = OutOfMemoryError(
|
|
"Out of GPU memory",
|
|
requested_bytes=8 * 1024**3,
|
|
available_bytes=2 * 1024**3,
|
|
)
|
|
assert error.requested_bytes == 8 * 1024**3
|
|
assert error.available_bytes == 2 * 1024**3
|
|
assert isinstance(error, OMLXMemoryError)
|
|
|
|
|
|
class TestEnginePoolExceptions:
|
|
"""Test cases for engine pool exceptions."""
|
|
|
|
def test_engine_pool_error_inheritance(self):
|
|
"""Test EnginePoolError inherits from OMLXError."""
|
|
error = EnginePoolError("Engine pool error")
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_model_not_found_error(self):
|
|
"""Test ModelNotFoundError with available_models."""
|
|
error = ModelNotFoundError(
|
|
model_id="unknown-model",
|
|
available_models=["llama-3.1-8b", "qwen2.5-32b"],
|
|
)
|
|
assert error.model_id == "unknown-model"
|
|
assert error.available_models == ["llama-3.1-8b", "qwen2.5-32b"]
|
|
assert "unknown-model" in str(error)
|
|
assert "llama-3.1-8b" in str(error)
|
|
assert isinstance(error, EnginePoolError)
|
|
|
|
def test_model_not_found_error_empty_models(self):
|
|
"""Test ModelNotFoundError with no available models."""
|
|
error = ModelNotFoundError(
|
|
model_id="test-model",
|
|
available_models=[],
|
|
)
|
|
assert "(none)" in str(error)
|
|
|
|
def test_model_too_large_error(self):
|
|
"""Test ModelTooLargeError with size information."""
|
|
error = ModelTooLargeError(
|
|
model_id="huge-model",
|
|
model_size=100 * 1024**3,
|
|
ceiling=32 * 1024**3,
|
|
)
|
|
assert error.model_id == "huge-model"
|
|
assert error.model_size == 100 * 1024**3
|
|
assert error.ceiling == 32 * 1024**3
|
|
assert isinstance(error, EnginePoolError)
|
|
|
|
def test_insufficient_memory_error(self):
|
|
"""Test InsufficientMemoryError."""
|
|
error = InsufficientMemoryError(
|
|
required=16 * 1024**3,
|
|
current=8 * 1024**3,
|
|
message="Not enough memory after eviction",
|
|
)
|
|
assert error.required == 16 * 1024**3
|
|
assert error.current == 8 * 1024**3
|
|
assert isinstance(error, EnginePoolError)
|
|
|
|
def test_model_loading_error(self):
|
|
"""Test ModelLoadingError."""
|
|
error = ModelLoadingError(model_id="loading-model")
|
|
assert error.model_id == "loading-model"
|
|
assert "already being loaded" in str(error)
|
|
assert isinstance(error, EnginePoolError)
|
|
|
|
|
|
class TestMCPExceptions:
|
|
"""Test cases for MCP-related exceptions."""
|
|
|
|
def test_mcp_error_inheritance(self):
|
|
"""Test MCPError inherits from OMLXError."""
|
|
error = MCPError("MCP error")
|
|
assert isinstance(error, OMLXError)
|
|
|
|
def test_mcp_connection_error(self):
|
|
"""Test MCPConnectionError."""
|
|
error = MCPConnectionError("Failed to connect to MCP server")
|
|
assert isinstance(error, MCPError)
|
|
|
|
def test_mcp_tool_execution_error(self):
|
|
"""Test MCPToolExecutionError."""
|
|
error = MCPToolExecutionError("Tool execution failed")
|
|
assert isinstance(error, MCPError)
|
|
|
|
|
|
class TestIsCacheCorruptionError:
|
|
"""Test cases for is_cache_corruption_error helper function."""
|
|
|
|
def test_none_type_pattern(self):
|
|
"""Test detection of NoneType subscript error."""
|
|
error = TypeError("'NoneType' object is not subscriptable")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_batch_kv_cache_pattern(self):
|
|
"""Test detection of BatchKVCache error."""
|
|
error = RuntimeError("BatchKVCache.keys returned None")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_kv_cache_pattern(self):
|
|
"""Test detection of KVCache error."""
|
|
error = ValueError("KVCache data is invalid")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_cache_keys_pattern(self):
|
|
"""Test detection of cache.keys error."""
|
|
error = AttributeError("cache.keys is not available")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_cache_values_pattern(self):
|
|
"""Test detection of cache.values error."""
|
|
error = AttributeError("cache.values returned empty")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_attribute_error_none_attribute(self):
|
|
"""Test detection of NoneType attribute access error."""
|
|
error = AttributeError("'NoneType' object has no attribute 'shape'")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_none_type_not_iterable_pattern(self):
|
|
"""Test detection of NoneType iterable error.
|
|
|
|
Triggered by mlx-lm GenerationBatch._step at
|
|
``for p in self.logits_processors[e]`` when the merged
|
|
logits_processors list contains a None slot from heterogeneous
|
|
request mixing. Without this pattern the error escapes
|
|
recovery and presents as a hang. See issue #934.
|
|
"""
|
|
error = TypeError("'NoneType' object is not iterable")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_value_error_not_broadcastable(self):
|
|
"""Test detection of shape broadcast error."""
|
|
error = ValueError(
|
|
"Shapes (1,8,256,128) and (1,8,512,128) are not broadcastable"
|
|
)
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_value_error_cannot_be_broadcast(self):
|
|
"""Test detection of MLX broadcast_shapes error (Issue #79)."""
|
|
error = ValueError(
|
|
"[broadcast_shapes] Shapes (8,1,625,2674) and (8,8,625,3697) "
|
|
"cannot be broadcast."
|
|
)
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_value_error_shape_mismatch(self):
|
|
"""Test detection of shape mismatch error."""
|
|
error = ValueError("shape mismatch in cache concatenation")
|
|
assert is_cache_corruption_error(error) is True
|
|
|
|
def test_non_corruption_error(self):
|
|
"""Test that non-corruption errors return False."""
|
|
error = ValueError("Invalid temperature value")
|
|
assert is_cache_corruption_error(error) is False
|
|
|
|
def test_attribute_error_non_corruption(self):
|
|
"""Non-corruption AttributeError should not match."""
|
|
error = AttributeError("'str' object has no attribute 'encode'")
|
|
assert is_cache_corruption_error(error) is False
|
|
|
|
def test_unrelated_error(self):
|
|
"""Test completely unrelated error."""
|
|
error = FileNotFoundError("Model file not found")
|
|
assert is_cache_corruption_error(error) is False
|
|
|
|
|
|
class TestCacheCorruptionPatterns:
|
|
"""Test cases for CACHE_CORRUPTION_PATTERNS constant."""
|
|
|
|
def test_patterns_is_list(self):
|
|
"""Test that patterns is a list."""
|
|
assert isinstance(CACHE_CORRUPTION_PATTERNS, list)
|
|
|
|
def test_patterns_contains_expected(self):
|
|
"""Test that patterns contains expected strings."""
|
|
expected_patterns = [
|
|
"'NoneType' object is not subscriptable",
|
|
"'NoneType' object is not iterable",
|
|
"BatchKVCache",
|
|
"KVCache",
|
|
"cache.keys",
|
|
"cache.values",
|
|
"'NoneType' object has no attribute",
|
|
"not broadcastable",
|
|
"cannot be broadcast",
|
|
"shape mismatch",
|
|
]
|
|
for pattern in expected_patterns:
|
|
assert pattern in CACHE_CORRUPTION_PATTERNS
|
|
|
|
|
|
class TestExceptionHierarchy:
|
|
"""Test the full exception hierarchy."""
|
|
|
|
def test_all_exceptions_inherit_from_omlx_error(self):
|
|
"""Test that all custom exceptions inherit from OMLXError."""
|
|
exceptions_to_test = [
|
|
CacheError("test"),
|
|
CacheCorruptionError("test"),
|
|
CacheMissError("test"),
|
|
CacheEvictionError("test"),
|
|
CacheStorageError("test"),
|
|
SchedulerError("test"),
|
|
RequestError("test"),
|
|
RequestNotFoundError("test"),
|
|
RequestAbortedError("test"),
|
|
BatchingError("test"),
|
|
ModelError("test"),
|
|
ModelLoadError("test"),
|
|
ModelInferenceError("test"),
|
|
TokenizerError("test"),
|
|
APIError("test"),
|
|
InvalidRequestError("test"),
|
|
RateLimitError("test"),
|
|
AuthenticationError("test"),
|
|
ConfigurationError("test"),
|
|
OMLXMemoryError("test"),
|
|
OutOfMemoryError("test"),
|
|
EnginePoolError("test"),
|
|
MCPError("test"),
|
|
MCPConnectionError("test"),
|
|
MCPToolExecutionError("test"),
|
|
]
|
|
|
|
for exc in exceptions_to_test:
|
|
assert isinstance(exc, OMLXError), f"{type(exc).__name__} should inherit from OMLXError"
|
|
assert isinstance(exc, Exception), f"{type(exc).__name__} should inherit from Exception"
|
|
|
|
def test_engine_pool_special_exceptions(self):
|
|
"""Test engine pool exceptions that have special constructors."""
|
|
# These have different constructor signatures
|
|
exc1 = ModelNotFoundError("model", [])
|
|
assert isinstance(exc1, OMLXError)
|
|
|
|
exc2 = ModelTooLargeError("model", 100, 50)
|
|
assert isinstance(exc2, OMLXError)
|
|
|
|
exc3 = InsufficientMemoryError(100, 50, "message")
|
|
assert isinstance(exc3, OMLXError)
|
|
|
|
exc4 = ModelLoadingError("model")
|
|
assert isinstance(exc4, OMLXError)
|