"""Test execution speed optimization features."""

import pytest

from tests.base_test import (
    BaseCrackerjackFeatureTest,
)


class TestExecutionSpeedOptimization(BaseCrackerjackFeatureTest):
    """Test execution speed optimization features."""

    @pytest.mark.asyncio
    async def test_parallel_agent_execution_performance(
        self, performance_benchmark_context
    ):
        """Test that parallel execution improves performance."""
        # issues = create_mock_issues(count=100, types=5)  # Mixed issue types
        #
        # # Baseline: sequential execution
        # sequential_coordinator = AgentCoordinator(parallel_execution=False)
        # start_time = time.time()
        # sequential_result = await sequential_coordinator.handle_issues(issues)
        # sequential_time = time.time() - start_time
        #
        # # Optimized: parallel execution
        # parallel_coordinator = AgentCoordinator(parallel_execution=True)
        # start_time = time.time()
        # parallel_result = await parallel_coordinator.handle_issues(issues)
        # parallel_time = time.time() - start_time
        #
        # # Verify results are equivalent
        # assert sequential_result.fixed_count == parallel_result.fixed_count
        #
        # # Verify performance improvement (target: 30% faster)
        # self.assert_performance_improvement(
        #     sequential_time, parallel_time, min_improvement=0.30
        # )
        pass

    def test_issue_caching_effectiveness(self):
        """Test that issue caching provides expected hit rates."""
        # coordinator = AgentCoordinator()
        #
        # # Create identical issues
        # duplicate_issues = [
        #     create_mock_issue(
        #         type=IssueType.COMPLEXITY,
        #         message="function too complex",
        #         file="test.py",
        #     )
        #     for _ in range(10)
        # ]
        #
        # # Process issues and measure cache hits
        # with patch.object(coordinator, "_analyze_and_fix_uncached") as mock_analyze:
        #     mock_analyze.return_value = FixResult(success=True, changes_made=True)
        #
        #     coordinator.handle_issues_sync(duplicate_issues)
        #
        #     # Should only call actual analysis once due to caching
        #     assert mock_analyze.call_count == 1
        #
        #     # Verify cache hit rate
        #     cache_hit_rate = coordinator.get_cache_hit_rate()
        #     assert cache_hit_rate >= 0.90  # 90%+ hit rate for identical issues
        pass

    def test_smart_agent_selection_performance(self):
        """Test that smart agent selection reduces unnecessary checks."""
        # coordinator = AgentCoordinator()
        #
        # issues = [
        #     create_mock_issue(type=IssueType.COMPLEXITY, message="complex function"),
        #     create_mock_issue(type=IssueType.SECURITY, message="hardcoded password"),
        #     create_mock_issue(
        #         type=IssueType.DOCUMENTATION, message="missing docstring"
        #     ),
        # ]
        #
        # # Track confidence check calls
        # confidence_checks = []
        #
        # def mock_can_handle(issue):
        #     confidence_checks.append(issue.type)
        #     return 0.8 if issue.type == IssueType.COMPLEXITY else 0.2
        #
        # with patch.object(
        #     coordinator.agents[0], "can_handle", side_effect=mock_can_handle
        # ):
        #     coordinator.handle_issues_sync(issues)
        #
        #     # Should use O(1) lookup for single-candidate issue types
        #     # and only check confidence for multiple candidates
        #     assert len(confidence_checks) <= len(issues)
        pass

    @pytest.mark.asyncio
    async def test_progressive_enhancement_early_exit(self):
        """Test progressive enhancement with early exit optimization."""
        # coordinator = AgentCoordinator(progressive_enhancement=True)
        #
        # # Create issues with high-confidence quick fixes
        # quick_fix_issues = [
        #     create_mock_issue(
        #         type=IssueType.FORMATTING,
        #         message="whitespace error",
        #         confidence_hint=0.95,
        #     ),
        #     create_mock_issue(
        #         type=IssueType.IMPORTS, message="unused import", confidence_hint=0.90
        #     ),
        # ]
        #
        # complex_issues = [
        #     create_mock_issue(
        #         type=IssueType.COMPLEXITY, message="complex logic", confidence_hint=0.6
        #     ),
        # ]
        #
        # all_issues = quick_fix_issues + complex_issues
        #
        # with patch.object(
        #     coordinator, "_all_critical_issues_resolved", return_value=True
        # ):
        #     result = await coordinator.handle_issues_progressive(all_issues)
        #
        #     # Should complete after quick fixes without processing complex issues
        #     assert result.processed_count == len(quick_fix_issues)
        pass

    @pytest.mark.asyncio
    async def test_parallel_hook_execution(self):
        """Test parallel hook execution performance."""
        # hook_manager = HookManagerImpl()
        #
        # # Create independent hooks that can run in parallel
        # independent_hooks = [
        #     create_mock_hook("formatter", dependencies=[]),
        #     create_mock_hook("linter", dependencies=[]),
        #     create_mock_hook("type_checker", dependencies=[]),
        # ]
        #
        # # Sequential execution baseline
        # start_time = time.time()
        # sequential_results = []
        # for hook in independent_hooks:
        #     result = await hook_manager._execute_hook(hook)
        #     sequential_results.append(result)
        # sequential_time = time.time() - start_time
        #
        # # Parallel execution
        # start_time = time.time()
        # parallel_results = await hook_manager.run_fast_hooks_parallel()
        # parallel_time = time.time() - start_time
        #
        # # Verify equivalent results
        # assert len(parallel_results) == len(sequential_results)
        #
        # # Verify performance improvement
        # self.assert_performance_improvement(
        #     sequential_time, parallel_time, min_improvement=0.25
        # )
        pass


class TestCachingSystem(BaseCrackerjackFeatureTest):
    """Test caching system effectiveness and correctness."""

    def test_file_content_caching(self):
        """Test file content caching across agents."""
        # context = AgentContext()
        # test_file = Path("/tmp/test_file.py")
        #
        # with patch.object(context, "_read_file") as mock_read:
        #     mock_read.return_value = "def test_function(): pass"
        #
        #     # First access - should read from file
        #     content1 = context.get_file_content(test_file)
        #     assert mock_read.call_count == 1
        #
        #     # Second access - should use cache
        #     content2 = context.get_file_content(test_file)
        #     assert mock_read.call_count == 1  # No additional file read
        #
        #     assert content1 == content2
        pass

    def test_cache_invalidation(self):
        """Test cache invalidation between iterations."""
        # context = AgentContext()
        # test_file = Path("/tmp/test_file.py")
        #
        # with patch.object(context, "_read_file") as mock_read:
        #     mock_read.return_value = "original content"
        #
        #     # Access file and cache content
        #     content1 = context.get_file_content(test_file)
        #
        #     # Clear cache (simulating new iteration)
        #     context.clear_cache()
        #
        #     # Change file content
        #     mock_read.return_value = "modified content"
        #
        #     # Access file again - should read new content
        #     content2 = context.get_file_content(test_file)
        #
        #     assert content1 != content2
        #     assert content2 == "modified content"
        #     assert mock_read.call_count == 2
        pass

    def test_cache_memory_management(self):
        """Test cache doesn't grow unbounded."""
        # context = AgentContext(max_cache_size=5)
        #
        # # Add more items than cache limit
        # for i in range(10):
        #     test_file = Path(f"/tmp/test_{i}.py")
        #     with patch.object(context, "_read_file", return_value=f"content {i}"):
        #         context.get_file_content(test_file)
        #
        # # Cache should not exceed limit
        # assert len(context._file_cache) <= 5
        pass

    def test_cache_hit_rate_metrics(self):
        """Test cache hit rate measurement."""
        # coordinator = AgentCoordinator()
        #
        # # Generate cache hits and misses
        # for i in range(5):
        #     issue = create_mock_issue(
        #         type=IssueType.FORMATTING, message="whitespace", file=f"file_{i}.py"
        #     )
        #     coordinator._get_cache_key(issue)  # Simulate cache access
        #
        # # Repeat same issues for cache hits
        # for i in range(3):
        #     issue = create_mock_issue(
        #         type=IssueType.FORMATTING, message="whitespace", file=f"file_{i}.py"
        #     )
        #     coordinator._get_cache_key(issue)
        #
        # hit_rate = coordinator.get_cache_hit_rate()
        # assert 0.0 <= hit_rate <= 1.0
        pass
