headroom_3 / tests /test_cache /test_client_integration.py
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Fix all ruff lint and format errors for CI
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"""Tests for HeadroomClient cache optimizer integration."""
import os
import tempfile
from unittest.mock import MagicMock
import pytest
from headroom import (
AnthropicCacheOptimizer,
HeadroomClient,
)
@pytest.fixture
def temp_db():
"""Create a temporary database file."""
fd, path = tempfile.mkstemp(suffix=".db")
os.close(fd)
yield f"sqlite:///{path}"
if os.path.exists(path):
os.unlink(path)
class MockTokenCounter:
"""Mock token counter for testing."""
def count_tokens(self, text: str) -> int:
return len(text) // 4
def count_messages(self, messages: list) -> int:
total = 0
for msg in messages:
content = msg.get("content", "")
if isinstance(content, str):
total += len(content) // 4
elif isinstance(content, list):
for block in content:
if isinstance(block, dict):
total += len(block.get("text", "")) // 4
return total
class MockAnthropicProvider:
"""Mock Anthropic provider for testing."""
name = "anthropic"
def get_token_counter(self, model: str):
return MockTokenCounter()
def get_context_limit(self, model: str) -> int:
return 200000
class MockOpenAIProvider:
"""Mock OpenAI provider for testing."""
name = "openai"
def get_token_counter(self, model: str):
return MockTokenCounter()
def get_context_limit(self, model: str) -> int:
return 128000
class TestHeadroomClientCacheIntegration:
"""Test HeadroomClient cache optimizer integration."""
def test_auto_detect_anthropic_optimizer(self, temp_db):
"""Test that Anthropic optimizer is auto-detected."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
enable_cache_optimizer=True,
)
assert client._cache_optimizer is not None
assert client._cache_optimizer.name == "anthropic-cache-optimizer"
def test_auto_detect_openai_optimizer(self, temp_db):
"""Test that OpenAI optimizer is auto-detected."""
mock_client = MagicMock()
provider = MockOpenAIProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
enable_cache_optimizer=True,
)
assert client._cache_optimizer is not None
assert client._cache_optimizer.name == "openai-prefix-stabilizer"
def test_custom_optimizer(self, temp_db):
"""Test using a custom optimizer."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
custom_optimizer = AnthropicCacheOptimizer()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
cache_optimizer=custom_optimizer,
)
assert client._cache_optimizer is custom_optimizer
def test_disable_cache_optimizer(self, temp_db):
"""Test disabling cache optimizer."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
enable_cache_optimizer=False,
)
assert client._cache_optimizer is None
def test_semantic_cache_layer_creation(self, temp_db):
"""Test semantic cache layer is created when enabled."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
enable_cache_optimizer=True,
enable_semantic_cache=True,
)
assert client._semantic_cache_layer is not None
assert client._cache_optimizer is not None
def test_extract_query_from_string_content(self, temp_db):
"""Test query extraction from string content."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
)
messages = [
{"role": "system", "content": "You are helpful."},
{"role": "user", "content": "What is 2+2?"},
]
query = client._extract_query(messages)
assert query == "What is 2+2?"
def test_extract_query_from_content_blocks(self, temp_db):
"""Test query extraction from content block format."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
)
messages = [
{"role": "system", "content": "You are helpful."},
{
"role": "user",
"content": [{"type": "text", "text": "What is 2+2?"}],
},
]
query = client._extract_query(messages)
assert query == "What is 2+2?"
def test_extract_query_last_user_message(self, temp_db):
"""Test that query extraction uses last user message."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
)
messages = [
{"role": "user", "content": "First question"},
{"role": "assistant", "content": "First answer"},
{"role": "user", "content": "Second question"},
]
query = client._extract_query(messages)
assert query == "Second question"
def test_config_propagation(self, temp_db):
"""Test that config is properly propagated."""
mock_client = MagicMock()
provider = MockAnthropicProvider()
client = HeadroomClient(
original_client=mock_client,
provider=provider,
store_url=temp_db,
enable_cache_optimizer=True,
enable_semantic_cache=True,
)
assert client._config.cache_optimizer.enabled is True
assert client._config.cache_optimizer.enable_semantic_cache is True