"""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