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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

185 lines
6.3 KiB
Python

"""Tests for AnthropicCacheOptimizer."""
import pytest
from headroom.cache import (
AnthropicCacheOptimizer,
CacheConfig,
OptimizationContext,
)
from headroom.cache.base import CacheStrategy
class TestAnthropicCacheOptimizer:
"""Test AnthropicCacheOptimizer functionality."""
@pytest.fixture
def optimizer(self):
"""Create optimizer instance."""
return AnthropicCacheOptimizer()
@pytest.fixture
def context(self):
"""Create optimization context."""
return OptimizationContext(
provider="anthropic",
model="claude-3-opus",
)
def test_optimizer_properties(self, optimizer):
"""Test optimizer properties."""
assert optimizer.name == "anthropic-cache-optimizer"
assert optimizer.provider == "anthropic"
assert optimizer.strategy == CacheStrategy.EXPLICIT_BREAKPOINTS
def test_enforces_minimum_tokens(self):
"""Test that Anthropic minimum is enforced."""
config = CacheConfig(min_cacheable_tokens=100)
optimizer = AnthropicCacheOptimizer(config)
assert optimizer.config.min_cacheable_tokens >= 1024
def test_enforces_maximum_breakpoints(self):
"""Test that Anthropic maximum breakpoints is enforced."""
config = CacheConfig(max_breakpoints=10)
optimizer = AnthropicCacheOptimizer(config)
assert optimizer.config.max_breakpoints <= 4
def test_optimize_simple_messages(self, optimizer, context):
"""Test optimizing simple messages."""
messages = [
{"role": "system", "content": "You are a helpful assistant. " * 500},
{"role": "user", "content": "Hello!"},
]
result = optimizer.optimize(messages, context)
assert result.messages is not None
assert len(result.messages) == 2
assert result.metrics.stable_prefix_hash != ""
def test_optimize_inserts_cache_control(self, optimizer, context):
"""Test that optimization inserts cache_control blocks."""
# Large system prompt to trigger caching
messages = [
{"role": "system", "content": "You are a helpful assistant. " * 500},
{"role": "user", "content": "Hello!"},
]
result = optimizer.optimize(messages, context)
# Check if cache_control was inserted
system_content = result.messages[0]["content"]
if isinstance(system_content, list):
has_cache_control = any(
"cache_control" in block for block in system_content if isinstance(block, dict)
)
assert has_cache_control
def test_optimize_with_dates(self, optimizer, context):
"""Test optimization extracts dates."""
messages = [
{
"role": "system",
"content": "Today is January 7, 2026. You are a helpful assistant. " * 300,
},
{"role": "user", "content": "Hello!"},
]
result = optimizer.optimize(messages, context)
# Dates should be moved to end
assert (
"extracted_dates" in result.transforms_applied
or result.metrics.breakpoints_inserted >= 0
)
def test_optimize_disabled(self, context):
"""Test optimization when disabled."""
config = CacheConfig(enabled=False)
optimizer = AnthropicCacheOptimizer(config)
messages = [
{"role": "system", "content": "Test"},
{"role": "user", "content": "Hello!"},
]
result = optimizer.optimize(messages, context)
assert result.transforms_applied == []
def test_prefix_hash_tracking(self, optimizer, context):
"""Test that prefix hash is tracked between calls."""
messages = [
{"role": "system", "content": "You are a helpful assistant. " * 500},
{"role": "user", "content": "Hello!"},
]
result1 = optimizer.optimize(messages, context)
result2 = optimizer.optimize(messages, context)
# Second call should detect stable prefix
assert result2.metrics.previous_prefix_hash == result1.metrics.stable_prefix_hash
def test_estimate_savings(self, optimizer, context):
"""Test savings estimation."""
messages = [
{"role": "system", "content": "You are a helpful assistant. " * 500},
{"role": "user", "content": "Hello!"},
]
savings = optimizer.estimate_savings(messages, context)
assert savings >= 0.0
assert savings <= 100.0
def test_content_block_format(self, optimizer, context):
"""Test handling of content block format."""
messages = [
{
"role": "system",
"content": [{"type": "text", "text": "You are a helpful assistant. " * 500}],
},
{"role": "user", "content": "Hello!"},
]
result = optimizer.optimize(messages, context)
assert result.messages is not None
def test_tools_are_cacheable(self, optimizer, context):
"""Test that tools are identified as cacheable."""
messages = [
{"role": "system", "content": "You are helpful. " * 300},
{
"role": "user",
"content": "Use tools",
"tools": [
{
"name": "search",
"description": "Search the web " * 200,
"input_schema": {"type": "object"},
}
],
},
]
result = optimizer.optimize(messages, context)
assert result.metrics.cacheable_tokens > 0
def test_metrics_history(self, optimizer, context):
"""Test that metrics are recorded."""
messages = [
{"role": "system", "content": "You are helpful. " * 500},
{"role": "user", "content": "Hello!"},
]
optimizer.optimize(messages, context)
metrics = optimizer.get_metrics()
assert metrics is not None
assert metrics.stable_prefix_hash != ""
def test_cache_constants(self, optimizer):
"""Test cache-related constants."""
assert optimizer.get_cache_write_cost_multiplier() == 1.25
assert optimizer.get_cache_read_cost_multiplier() == 0.10
assert optimizer.get_cache_ttl_seconds() == 300