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7a05808 e4a41fa 7a05808 e4a41fa 7a05808 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 | """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
|