# TEST IMPLEMENTATION PLAN FOR CRACKERJACK

## Comprehensive Testing Strategy for Remaining Features

### 🎯 TESTING OVERVIEW

This document provides comprehensive test implementation guidance for Qwen to implement tests for the remaining features in the unified FEATURE_IMPLEMENTATION_PLAN.md. This focuses on testing the REMAINING features that need to be implemented, building upon existing test infrastructure.

**Testing Philosophy:** TDD with 2-day offset for API stabilization, comprehensive coverage, performance validation, and regression prevention.

### 📊 TESTING SCOPE & PRIORITIES

#### ✅ ALREADY TESTED (Build Upon Existing)

- Rust Tool Adapter Framework (base tests exist)
- Skylos/Zuban Adapters (integration tests may need enhancement)
- Intelligent Commit Service (basic tests exist)

#### 🧪 REQUIRES NEW COMPREHENSIVE TESTING

1. **CLI Semantic Naming** (Phase 11) - Full semantic mapping validation
1. **Automatic Changelog Generation** (Phase 10) - Convention parsing and formatting
1. **Version Bump Analyzer** (Phase 12) - Intelligent analysis and recommendations
1. **Execution Speed Optimization** (Phase 13) - Performance and caching validation
1. **Unified Monitoring Dashboard** (Phase 17) - WebSocket, metrics, and visualization
1. **AI-Optimized Documentation System** (Phase 16) - Dual output and generation
1. **End-to-End Integration** - Full workflow testing with all features

### 🏗️ TEST ARCHITECTURE FOUNDATION

#### Base Test Structure for All New Components

```python
# Base test class for all new crackerjack features
class BaseCrackerjackFeatureTest:
    """Base test class with common utilities and fixtures for new features."""

    @pytest.fixture(scope="session")
    def test_project_structure(self, tmp_path_factory):
        """Create a complete test project structure for comprehensive testing."""
        project_root = tmp_path_factory.mktemp("crackerjack_test_project")

        # Create realistic project structure
        (project_root / "crackerjack").mkdir()
        (project_root / "tests").mkdir()
        (project_root / "docs").mkdir()

        # Create pyproject.toml
        pyproject_content = """
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "test-project"
version = "1.2.3"
description = "Test project for crackerjack testing"
"""
        (project_root / "pyproject.toml").write_text(pyproject_content)

        # Create CHANGELOG.md
        changelog_content = """# Changelog
All notable changes to this project will be documented in this file.

## [1.2.3] - 2024-01-01
### Added
- Initial implementation

"""
        (project_root / "CHANGELOG.md").write_text(changelog_content)

        return project_root

    @pytest.fixture
    def mock_git_service(self):
        """Mock GitService with realistic commit history."""
        mock = MagicMock()
        mock.get_commits_since_last_release.return_value = [
            GitCommit(
                hash="abc123",
                message="feat(auth): add password reset functionality",
                author="Test Author",
                date="2024-01-01",
            ),
            GitCommit(
                hash="def456",
                message="fix(api): resolve race condition in user creation",
                author="Test Author",
                date="2024-01-02",
            ),
            GitCommit(
                hash="ghi789",
                message="docs: update API documentation",
                author="Test Author",
                date="2024-01-03",
            ),
        ]
        return mock

    @pytest.fixture
    def performance_benchmark_context(self):
        """Context for performance testing with realistic data sets."""
        return {
            "small_codebase": {"files": 10, "issues": 25, "agents": 3},
            "medium_codebase": {"files": 100, "issues": 150, "agents": 5},
            "large_codebase": {"files": 1000, "issues": 500, "agents": 8},
        }

    def assert_performance_improvement(
        self, baseline_time: float, optimized_time: float, min_improvement: float = 0.30
    ):
        """Assert that performance improvement meets minimum threshold."""
        improvement = (baseline_time - optimized_time) / baseline_time
        assert improvement >= min_improvement, (
            f"Expected ≥{min_improvement:.0%} improvement, got {improvement:.0%} "
            f"(baseline: {baseline_time:.3f}s, optimized: {optimized_time:.3f}s)"
        )

    def assert_no_regression(self, before_metrics: dict, after_metrics: dict):
        """Assert that new features don't regress existing functionality."""
        for metric_name, before_value in before_metrics.items():
            after_value = after_metrics.get(metric_name)
            assert after_value is not None, f"Missing metric: {metric_name}"
            assert after_value >= before_value, (
                f"Regression in {metric_name}: {before_value} -> {after_value}"
            )
```

## 🚀 WEEK 1-2: CLI SEMANTIC NAMING TESTS

### Test Category 1: Options Class Semantic Mapping

```python
class TestCLISemanticNaming(BaseCrackerjackFeatureTest):
    """Test CLI semantic naming implementation."""

    def test_semantic_field_mapping(self):
        """Test that all semantic fields are correctly mapped."""
        options = Options()

        # Test new semantic field names exist
        assert hasattr(options, "strip_code")  # was: clean
        assert hasattr(options, "full_release")  # was: all
        assert hasattr(options, "ai_fix")  # was: ai_agent
        assert hasattr(options, "ai_fix_verbose")  # was: ai_debug
        assert hasattr(options, "version_bump")  # was: bump
        assert hasattr(options, "skip_precommit")  # was: skip_hooks
        assert hasattr(options, "quick_checks")  # was: fast
        assert hasattr(options, "comprehensive")  # was: comp

    def test_semantic_field_defaults(self):
        """Test that semantic fields have correct default values."""
        options = Options()

        assert options.strip_code is False
        assert options.full_release is None
        assert options.ai_fix is False
        assert options.ai_fix_verbose is False
        assert options.version_bump is None
        assert options.skip_precommit is False
        assert options.quick_checks is False
        assert options.comprehensive is False

    def test_legacy_flag_deprecation_warnings(self):
        """Test that legacy flags produce appropriate deprecation warnings."""
        legacy_flags = {
            "-x": "--strip-code",
            "--clean": "--strip-code",
            "-a": "--full-release",
            "--all": "--full-release",
            "--ai-agent": "--ai-fix",
            "--comp": "--comprehensive",
            "--ai-debug": "--ai-fix-verbose",
        }

        for legacy_flag, new_flag in legacy_flags.items():
            with pytest.raises(SystemExit) as exc_info:
                # Simulate command line parsing with legacy flag
                check_deprecated_flags([legacy_flag])

            # Verify error message suggests correct replacement
            assert new_flag in str(exc_info.value)

    @pytest.mark.parametrize(
        "semantic_command,expected_options",
        [
            (["--strip-code"], {"strip_code": True}),
            (["--ai-fix", "--test"], {"ai_fix": True, "test": True}),
            (["--full-release", "patch"], {"full_release": "patch"}),
            (["--version-bump", "minor"], {"version_bump": "minor"}),
        ],
    )
    def test_semantic_command_parsing(self, semantic_command, expected_options):
        """Test that semantic commands parse correctly."""
        options = parse_command_line_args(semantic_command)

        for option_name, expected_value in expected_options.items():
            actual_value = getattr(options, option_name)
            assert actual_value == expected_value

    def test_help_text_semantic_clarity(self):
        """Test that help text uses clear, semantic descriptions."""
        help_output = get_help_text()

        # Ensure help text uses semantic descriptions
        assert "Strip unnecessary code" in help_output  # for --strip-code
        assert "Enable AI-powered fixing" in help_output  # for --ai-fix
        assert "Complete release workflow" in help_output  # for --full-release
        assert "Skip pre-commit hooks" in help_output  # for --skip-precommit

        # Ensure no legacy terminology remains
        assert "--clean" not in help_output
        assert "--ai-agent" not in help_output
        assert "--comp" not in help_output
```

### Test Category 2: Workflow Integration

```python
class TestSemanticCLIWorkflowIntegration(BaseCrackerjackFeatureTest):
    """Test CLI semantic integration with existing workflows."""

    async def test_semantic_options_workflow_compatibility(
        self, test_project_structure
    ):
        """Test that semantic options work with existing workflows."""
        # Test strip_code workflow
        options = Options(strip_code=True, test=True)
        orchestrator = WorkflowOrchestrator(options, test_project_structure)

        result = await orchestrator.execute_workflow()
        assert result.success

        # Verify strip_code operation was executed
        assert any("strip" in step.description.lower() for step in result.steps)

    async def test_ai_fix_semantic_integration(self, test_project_structure):
        """Test AI fix with semantic naming."""
        options = Options(ai_fix=True, test=True)
        orchestrator = WorkflowOrchestrator(options, test_project_structure)

        result = await orchestrator.execute_workflow()

        # Verify AI agent was invoked
        assert any("ai" in step.description.lower() for step in result.steps)

    def test_command_construction_with_semantic_options(self):
        """Test that internal commands use semantic option names."""
        options = Options(strip_code=True, ai_fix=True)
        command = build_internal_command(options)

        # Internal command should use semantic flags
        assert "--strip-code" in command
        assert "--ai-fix" in command

        # Should not contain legacy flags
        assert "--clean" not in command
        assert "--ai-agent" not in command
```

## 🚀 WEEK 3: AUTOMATIC CHANGELOG GENERATION TESTS

### Test Category 3: Conventional Commit Parsing

```python
class TestChangelogGeneration(BaseCrackerjackFeatureTest):
    """Test automatic changelog generation functionality."""

    def test_conventional_commit_parsing(self):
        """Test parsing of various conventional commit formats."""
        parser = ConventionalCommitParser()

        test_commits = [
            ("feat(auth): add password reset", "Added", "add password reset"),
            ("fix(api): resolve race condition", "Fixed", "resolve race condition"),
            ("docs: update API documentation", "Changed", "update API documentation"),
            ("feat!: breaking API change", "Changed", "breaking API change"),
            (
                "BREAKING CHANGE: remove deprecated endpoint",
                "Changed",
                "remove deprecated endpoint",
            ),
            ("refactor(core): optimize performance", "Changed", "optimize performance"),
            (
                "test(unit): add missing test cases",
                None,
                None,
            ),  # Should be filtered out
        ]

        for commit_message, expected_category, expected_description in test_commits:
            result = parser.parse_commit_message(commit_message)

            if expected_category is None:
                assert result is None  # Should be filtered out
            else:
                assert result.category == expected_category
                assert expected_description.lower() in result.description.lower()

    async def test_changelog_entry_generation(
        self, mock_git_service, test_project_structure
    ):
        """Test generation of changelog entries from commit history."""
        automator = ChangelogAutomator(mock_git_service)

        entry = await automator.generate_changelog_entry(
            version="2.0.0", date="2024-01-10"
        )

        # Verify changelog entry structure
        assert entry.startswith("## [2.0.0] - 2024-01-10")
        assert "### Added" in entry
        assert "password reset functionality" in entry
        assert "### Fixed" in entry
        assert "race condition in user creation" in entry
        assert "### Changed" in entry  # docs updates should be here

    async def test_changelog_file_integration(
        self, mock_git_service, test_project_structure
    ):
        """Test integration with existing CHANGELOG.md file."""
        automator = ChangelogAutomator(mock_git_service)

        # Generate and insert changelog entry
        success = await automator.update_changelog_for_version("2.0.0")
        assert success

        # Verify CHANGELOG.md was updated
        changelog_path = test_project_structure / "CHANGELOG.md"
        changelog_content = changelog_path.read_text()

        assert "## [2.0.0]" in changelog_content
        assert "## [1.2.3]" in changelog_content  # Previous entry preserved
        assert changelog_content.index("## [2.0.0]") < changelog_content.index(
            "## [1.2.3]"
        )

    def test_empty_commit_handling(self):
        """Test handling of commits with no relevant changes."""
        automator = ChangelogAutomator(MagicMock())
        automator.git_service.get_commits_since_last_release.return_value = [
            GitCommit(
                hash="abc123",
                message="chore: update dependencies",
                author="Test",
                date="2024-01-01",
            ),
            GitCommit(
                hash="def456",
                message="style: fix formatting",
                author="Test",
                date="2024-01-02",
            ),
        ]

        entry = automator.generate_changelog_entry_sync("1.2.4", "2024-01-10")

        # Should generate minimal entry for version with no user-facing changes
        assert "## [1.2.4] - 2024-01-10" in entry
        assert "No user-facing changes" in entry or len(entry.split("\n")) <= 3

    def test_changelog_formatting_consistency(self):
        """Test that changelog formatting follows Keep a Changelog standard."""
        formatter = ChangelogFormatter()

        categories = {
            "Added": ["New user registration endpoint", "Password strength validation"],
            "Fixed": [
                "Memory leak in batch processing",
                "Race condition in user creation",
            ],
            "Changed": ["Updated API documentation", "Improved error messages"],
        }

        formatted = formatter.format_changelog_entry("1.5.0", "2024-01-15", categories)

        # Verify Keep a Changelog format
        lines = formatted.split("\n")
        assert lines[0] == "## [1.5.0] - 2024-01-15"
        assert "### Added" in formatted
        assert "### Fixed" in formatted
        assert "### Changed" in formatted

        # Verify bullet points are formatted correctly
        assert "- New user registration endpoint" in formatted
        assert "- Memory leak in batch processing" in formatted
```

### Test Category 4: Publish Workflow Integration

```python
class TestChangelogPublishIntegration(BaseCrackerjackFeatureTest):
    """Test changelog integration with publish workflow."""

    async def test_publish_manager_changelog_integration(self, test_project_structure):
        """Test that publish manager integrates changelog generation."""
        publish_manager = PublishManagerImpl(
            console=Console(), pkg_path=test_project_structure, dry_run=True
        )

        # Mock the changelog service
        with patch.object(publish_manager, "changelog_service") as mock_changelog:
            mock_changelog.generate_changelog_entry.return_value = (
                "## [2.0.0] - 2024-01-10\n### Added\n- New features"
            )

            # Test publish workflow includes changelog
            result = await publish_manager.publish_workflow("minor")

            # Verify changelog generation was called
            mock_changelog.generate_changelog_entry.assert_called_once_with("2.0.0")
            assert result  # Workflow should succeed

    async def test_changelog_failure_handling(self, test_project_structure):
        """Test handling of changelog generation failures during publish."""
        publish_manager = PublishManagerImpl(
            console=Console(),
            pkg_path=test_project_structure,
            dry_run=True,
            force_publish=False,  # Should stop on changelog failure
        )

        with patch.object(publish_manager, "changelog_service") as mock_changelog:
            mock_changelog.generate_changelog_entry.side_effect = Exception(
                "Changelog generation failed"
            )

            result = await publish_manager.publish_workflow("patch")

            # Workflow should fail gracefully
            assert not result

    def test_dry_run_changelog_preview(self, test_project_structure):
        """Test changelog preview in dry run mode."""
        publish_manager = PublishManagerImpl(
            console=Console(), pkg_path=test_project_structure, dry_run=True
        )

        with patch.object(publish_manager.console, "print") as mock_print:
            publish_manager._generate_changelog_sync("1.3.0")

            # Should show dry run preview
            mock_print.assert_any_call(match=re.compile(r"Would generate changelog"))
```

## 🚀 WEEK 3-4: VERSION BUMP ANALYZER TESTS

### Test Category 5: Breaking Change Detection

```python
class TestVersionBumpAnalyzer(BaseCrackerjackFeatureTest):
    """Test intelligent version bump analysis."""

    def test_breaking_change_detection(self):
        """Test detection of breaking changes requiring MAJOR version bump."""
        analyzer = BreakingChangeAnalyzer()

        # Mock git diff with breaking changes
        breaking_diff = '''
-def old_api_function(param1):
+def old_api_function(param1, param2=None):
     """Function signature changed - breaking change"""

-class UserService:
-    def get_user(self, id):
+class UserService:
+    def fetch_user(self, user_id):  # Method renamed - breaking change
         pass
'''

        changes = ChangeSet(
            diffs=[FileDiff(path=Path("api.py"), content=breaking_diff)]
        )
        result = analyzer.analyze(changes)

        assert result.level == "major"
        assert result.confidence >= 0.9
        assert (
            "signature change" in result.reason.lower()
            or "api" in result.reason.lower()
        )

    def test_feature_addition_detection(self):
        """Test detection of new features requiring MINOR version bump."""
        analyzer = FeatureAnalyzer()

        # Mock git diff with new features
        feature_diff = '''
+def new_api_endpoint():
+    """New API endpoint - minor change"""
+    pass

+class NewService:
+    """New service class - minor change"""
+    pass
'''

        changes = ChangeSet(diffs=[FileDiff(path=Path("api.py"), content=feature_diff)])
        result = analyzer.analyze(changes)

        assert result.level == "minor"
        assert result.confidence >= 0.8
        assert "new features" in result.reason.lower()

    def test_conventional_commit_override(self):
        """Test that BREAKING CHANGE in commits overrides analysis."""
        analyzer = ConventionalCommitAnalyzer()

        commits = [
            GitCommit(
                hash="abc123",
                message="fix: small bug fix\n\nBREAKING CHANGE: API behavior changed",
                author="Test",
                date="2024-01-01",
            )
        ]

        changes = ChangeSet(commits=commits)
        result = analyzer.analyze(changes)

        assert result.level == "major"
        assert result.confidence == 1.0  # Explicit breaking change marker

    async def test_version_analyzer_integration(self):
        """Test complete version analyzer with multiple analyzers."""
        version_analyzer = VersionAnalyzer()

        # Mock changes with mixed signals
        changes = ChangeSet(
            commits=[
                GitCommit(
                    hash="abc",
                    message="feat: add new endpoint",
                    author="Test",
                    date="2024-01-01",
                ),
                GitCommit(
                    hash="def",
                    message="fix: resolve bug",
                    author="Test",
                    date="2024-01-02",
                ),
            ],
            diffs=[
                FileDiff(path=Path("api.py"), content="+def new_function():\n+    pass")
            ],
        )

        with patch.object(version_analyzer, "_collect_changes", return_value=changes):
            recommendation = await version_analyzer.analyze_version_bump()

        # Should recommend minor for new features
        assert recommendation.level == "minor"
        assert recommendation.confidence >= 0.7
        assert len(recommendation.reasons) > 0
```

### Test Category 6: Interactive Prompt Integration

```python
class TestVersionBumpPrompts(BaseCrackerjackFeatureTest):
    """Test version bump interactive prompts."""

    async def test_analysis_results_display(self, capsys):
        """Test display of version bump analysis results."""
        recommendation = VersionBumpRecommendation(
            level="minor",
            confidence=0.85,
            reasons=[
                {
                    "reason": "New API endpoints added",
                    "confidence": 0.9,
                    "examples": ["new_endpoint()"],
                }
            ],
            examples=["Added new user management features"],
        )

        publish_manager = PublishManagerImpl(Console(), Path("."), dry_run=True)
        publish_manager._display_analysis_results(recommendation)

        captured = capsys.readouterr()
        assert "MINOR" in captured.out
        assert "85%" in captured.out
        assert "New API endpoints" in captured.out

    @patch("rich.prompt.Prompt.ask")
    async def test_interactive_confirmation_accept(self, mock_prompt):
        """Test accepting version bump recommendation."""
        mock_prompt.return_value = "yes"

        recommendation = VersionBumpRecommendation(
            level="minor", confidence=0.8, reasons=[]
        )
        publish_manager = PublishManagerImpl(Console(), Path("."), dry_run=True)

        choice = await publish_manager._confirm_version_bump(recommendation)

        assert choice == "minor"
        mock_prompt.assert_called_once()

    @patch("rich.prompt.Prompt.ask")
    async def test_interactive_confirmation_override(self, mock_prompt):
        """Test overriding version bump recommendation."""
        mock_prompt.return_value = "major"  # Override recommendation

        recommendation = VersionBumpRecommendation(
            level="minor", confidence=0.8, reasons=[]
        )
        publish_manager = PublishManagerImpl(Console(), Path("."), dry_run=True)

        choice = await publish_manager._confirm_version_bump(recommendation)

        assert choice == "major"

    def test_auto_accept_configuration(self, test_project_structure):
        """Test auto-accept configuration via pyproject.toml."""
        # Add auto-accept config to pyproject.toml
        pyproject_path = test_project_structure / "pyproject.toml"
        current_content = pyproject_path.read_text()
        updated_content = (
            current_content
            + """

[tool.crackerjack]
auto_accept_version_bump = true
"""
        )
        pyproject_path.write_text(updated_content)

        publish_manager = PublishManagerImpl(
            Console(), test_project_structure, dry_run=True
        )

        assert publish_manager.auto_accept_version is True

    async def test_cli_integration(self):
        """Test CLI integration with version bump analyzer."""
        # Test --auto-version flag functionality
        options = Options(version_bump="auto", accept_version=True)

        # Mock version analyzer
        with patch(
            "crackerjack.services.version_analyzer.VersionAnalyzer"
        ) as mock_analyzer:
            mock_analyzer.return_value.analyze_version_bump.return_value = (
                VersionBumpRecommendation(level="patch", confidence=0.7, reasons=[])
            )

            orchestrator = WorkflowOrchestrator(options, Path("."))
            # Test that auto version analysis is triggered
            # Implementation depends on workflow integration
```

## 🚀 WEEK 5-6: EXECUTION SPEED OPTIMIZATION TESTS

### Test Category 7: Performance Validation

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

    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
        )

    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

    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)

    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)

    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
        )
```

### Test Category 8: Caching System Validation

```python
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

    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

    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

    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
```

## 🚀 WEEK 7-8: UNIFIED MONITORING DASHBOARD TESTS

### Test Category 9: WebSocket & Real-time Features

```python
class TestUnifiedMonitoringDashboard(BaseCrackerjackFeatureTest):
    """Test unified monitoring dashboard functionality."""

    @pytest.fixture
    def websocket_server(self):
        """Fixture for WebSocket server testing."""
        server = CrackerjackWebSocketServer()
        yield server
        # Cleanup
        asyncio.create_task(server.stop())

    async def test_websocket_server_startup(self, websocket_server):
        """Test WebSocket server starts and accepts connections."""
        await websocket_server.start(port=8676)

        # Test connection
        async with websockets.connect("ws://localhost:8676") as websocket:
            # Send test message
            test_message = {"type": "ping", "data": "test"}
            await websocket.send(json.dumps(test_message))

            # Receive response
            response = await asyncio.wait_for(websocket.recv(), timeout=5.0)
            response_data = json.loads(response)

            assert response_data["type"] == "pong"

    async def test_real_time_metrics_streaming(self, websocket_server):
        """Test real-time metrics streaming to connected clients."""
        await websocket_server.start(port=8676)

        metrics_collector = MetricsCollector()

        # Connect WebSocket client
        async with websockets.connect("ws://localhost:8676") as websocket:
            # Subscribe to metrics channel
            subscribe_msg = {"type": "subscribe", "channel": "metrics"}
            await websocket.send(json.dumps(subscribe_msg))

            # Generate test metrics
            test_metric = MetricData(
                project_name="test_project",
                metric_type=MetricType.QUALITY_SCORE,
                metric_value=85.5,
                session_id="test_session",
            )

            await metrics_collector.emit_metric(test_metric)

            # Should receive metric update
            response = await asyncio.wait_for(websocket.recv(), timeout=5.0)
            metric_update = json.loads(response)

            assert metric_update["type"] == "metric_update"
            assert metric_update["data"]["metric_value"] == 85.5

    def test_metrics_data_model_validation(self):
        """Test MetricData model validation."""
        # Valid metric data
        valid_metric = MetricData(
            project_name="test_project",
            metric_type=MetricType.QUALITY_SCORE,
            metric_value=85.5,
            session_id="session_123",
            timestamp=datetime.now(),
        )

        assert valid_metric.project_name == "test_project"
        assert valid_metric.metric_value == 85.5

        # Invalid metric data
        with pytest.raises(ValidationError):
            MetricData(
                project_name="",  # Empty project name should fail
                metric_type=MetricType.QUALITY_SCORE,
                metric_value=-10,  # Negative quality score should fail
                session_id="session_123",
            )

    async def test_dashboard_component_rendering(self):
        """Test dashboard component rendering."""
        renderer = DashboardRenderer()

        sample_metrics = [
            MetricData(
                project_name="test",
                metric_type=MetricType.QUALITY_SCORE,
                metric_value=85.0,
                session_id="s1",
            ),
            MetricData(
                project_name="test",
                metric_type=MetricType.TEST_COVERAGE,
                metric_value=92.5,
                session_id="s1",
            ),
            MetricData(
                project_name="test",
                metric_type=MetricType.EXECUTION_TIME,
                metric_value=45.2,
                session_id="s1",
            ),
        ]

        # Test TUI rendering
        tui_output = await renderer.render_tui_dashboard(sample_metrics)
        assert "Quality Score: 85.0%" in tui_output
        assert "Test Coverage: 92.5%" in tui_output
        assert "Execution Time: 45.2s" in tui_output

        # Test web dashboard data
        web_data = await renderer.prepare_web_dashboard_data(sample_metrics)
        assert len(web_data["metrics"]) == 3
        assert web_data["summary"]["quality_score"] == 85.0

    def test_alert_system_functionality(self):
        """Test monitoring alert system."""
        alert_manager = AlertManager()

        # Configure alert rules
        alert_rule = AlertRule(
            metric_type=MetricType.QUALITY_SCORE,
            threshold=80.0,
            operator="less_than",
            severity="warning",
        )
        alert_manager.add_rule(alert_rule)

        # Test alert triggering
        low_quality_metric = MetricData(
            project_name="test",
            metric_type=MetricType.QUALITY_SCORE,
            metric_value=75.0,  # Below threshold
            session_id="session",
        )

        alerts = alert_manager.check_alerts([low_quality_metric])

        assert len(alerts) == 1
        assert alerts[0].severity == "warning"
        assert alerts[0].message.lower().find("quality") >= 0
```

### Test Category 10: Database & Persistence

```python
class TestMonitoringPersistence(BaseCrackerjackFeatureTest):
    """Test monitoring data persistence and querying."""

    @pytest.fixture
    def test_database(self):
        """In-memory SQLite database for testing."""
        engine = create_engine("sqlite:///:memory:")
        SQLModel.metadata.create_all(engine)
        return engine

    def test_metric_record_crud_operations(self, test_database):
        """Test MetricRecord database operations."""
        with Session(test_database) as session:
            # Create metric record
            metric = MetricRecord(
                project_name="test_project",
                metric_type="quality_score",
                metric_value=85.5,
                session_id="test_session",
                timestamp=datetime.now(),
            )

            session.add(metric)
            session.commit()
            session.refresh(metric)

            # Verify creation
            assert metric.id is not None
            assert metric.project_name == "test_project"

            # Query metric
            queried_metric = session.get(MetricRecord, metric.id)
            assert queried_metric.metric_value == 85.5

            # Update metric
            queried_metric.metric_value = 90.0
            session.commit()
            session.refresh(queried_metric)
            assert queried_metric.metric_value == 90.0

            # Delete metric
            session.delete(queried_metric)
            session.commit()

            deleted_metric = session.get(MetricRecord, metric.id)
            assert deleted_metric is None

    def test_historical_data_querying(self, test_database):
        """Test querying historical metrics data."""
        with Session(test_database) as session:
            # Insert historical data
            base_time = datetime.now() - timedelta(days=7)

            for i in range(7):
                metric = MetricRecord(
                    project_name="test_project",
                    metric_type="quality_score",
                    metric_value=80.0 + i,
                    session_id=f"session_{i}",
                    timestamp=base_time + timedelta(days=i),
                )
                session.add(metric)

            session.commit()

            # Query recent metrics
            recent_metrics = session.exec(
                select(MetricRecord)
                .where(MetricRecord.timestamp >= datetime.now() - timedelta(days=3))
                .order_by(MetricRecord.timestamp.desc())
            ).all()

            assert len(recent_metrics) == 3
            assert recent_metrics[0].metric_value == 86.0  # Most recent

    def test_database_performance_with_large_dataset(self, test_database):
        """Test database performance with large metric datasets."""
        with Session(test_database) as session:
            # Insert large dataset
            metrics = []
            for i in range(10000):
                metric = MetricRecord(
                    project_name=f"project_{i % 100}",
                    metric_type="quality_score",
                    metric_value=float(80 + (i % 20)),
                    session_id=f"session_{i}",
                    timestamp=datetime.now() - timedelta(minutes=i),
                )
                metrics.append(metric)

            # Bulk insert performance test
            start_time = time.time()
            session.add_all(metrics)
            session.commit()
            insert_time = time.time() - start_time

            # Should complete bulk insert in reasonable time
            assert insert_time < 5.0  # Less than 5 seconds

            # Query performance test
            start_time = time.time()
            results = session.exec(
                select(MetricRecord)
                .where(MetricRecord.project_name == "project_1")
                .order_by(MetricRecord.timestamp.desc())
                .limit(100)
            ).all()
            query_time = time.time() - start_time

            assert len(results) == 100
            assert query_time < 0.1  # Less than 100ms

    def test_monitoring_integration_end_to_end(self, test_database):
        """Test end-to-end monitoring integration."""
        # Setup complete monitoring system
        monitoring_system = UnifiedMonitoringSystem(database_engine=test_database)

        # Start monitoring
        monitoring_system.start_monitoring()

        # Simulate crackerjack workflow with monitoring
        workflow_metrics = {
            "start_time": datetime.now(),
            "quality_score": 85.5,
            "test_coverage": 92.0,
            "execution_time": 45.2,
            "issues_fixed": 12,
        }

        # Emit metrics
        for metric_name, metric_value in workflow_metrics.items():
            if metric_name != "start_time":
                monitoring_system.record_metric(
                    project_name="integration_test",
                    metric_type=metric_name,
                    metric_value=metric_value,
                    session_id="integration_session",
                )

        # Verify metrics were recorded
        recorded_metrics = monitoring_system.get_session_metrics("integration_session")
        assert len(recorded_metrics) == 4

        # Verify dashboard can render metrics
        dashboard_data = monitoring_system.get_dashboard_data("integration_test")
        assert dashboard_data["current_quality_score"] == 85.5
        assert dashboard_data["current_test_coverage"] == 92.0
```

## 🚀 WEEK 9-10: AI-OPTIMIZED DOCUMENTATION TESTS

### Test Category 11: Documentation Generation

```python
class TestAIOptimizedDocumentation(BaseCrackerjackFeatureTest):
    """Test AI-optimized documentation system."""

    def test_dual_output_generation(self):
        """Test generation of both AI and human-readable formats."""
        doc_generator = DualOutputGenerator()

        sample_command_data = {
            "name": "python -m crackerjack --ai-fix -t",
            "description": "Run quality checks with AI-powered fixing",
            "success_pattern": "Quality score ≥85%",
            "common_issues": ["test failures", "type errors", "complexity violations"],
            "ai_agent_effectiveness": 0.87,
        }

        # Generate AI reference format
        ai_format = doc_generator.generate_ai_reference_entry(sample_command_data)

        # Should be structured for AI consumption
        assert "| Use Case |" in ai_format
        assert "python -m crackerjack --ai-fix -t" in ai_format
        assert "Quality score ≥85%" in ai_format

        # Generate human-readable format
        human_format = doc_generator.generate_human_readable_entry(sample_command_data)

        # Should be narrative for human consumption
        assert "Run quality checks" in human_format
        assert len(human_format.split("\n")) > 3  # Multi-line narrative

    def test_agent_capabilities_json_generation(self):
        """Test generation of structured agent capabilities."""
        capabilities_generator = AgentCapabilitiesGenerator()

        # Mock agent data
        mock_agents = {
            "RefactoringAgent": {
                "confidence_level": 0.9,
                "specializations": ["complexity", "dead_code", "duplication"],
                "typical_fixes": [
                    "function extraction",
                    "variable inlining",
                    "loop optimization",
                ],
                "success_rate": 0.85,
                "avg_fix_time": 2.3,
            },
            "SecurityAgent": {
                "confidence_level": 0.8,
                "specializations": ["hardcoded_secrets", "path_traversal", "injection"],
                "typical_fixes": [
                    "secret removal",
                    "path validation",
                    "input sanitization",
                ],
                "success_rate": 0.92,
                "avg_fix_time": 1.8,
            },
        }

        capabilities_json = capabilities_generator.generate_capabilities_json(
            mock_agents
        )

        # Verify JSON structure
        capabilities_data = json.loads(capabilities_json)
        assert "agents" in capabilities_data
        assert "RefactoringAgent" in capabilities_data["agents"]
        assert (
            capabilities_data["agents"]["RefactoringAgent"]["confidence_level"] == 0.9
        )
        assert (
            "complexity"
            in capabilities_data["agents"]["RefactoringAgent"]["specializations"]
        )

    def test_error_patterns_yaml_generation(self):
        """Test generation of error patterns YAML."""
        error_patterns_generator = ErrorPatternsGenerator()

        # Mock error data
        mock_error_patterns = {
            "import_errors": {
                "patterns": [
                    "ModuleNotFoundError: No module named",
                    "ImportError: cannot import name",
                ],
                "automated_fixes": [
                    "Add missing dependency to pyproject.toml",
                    "Fix import path based on project structure",
                ],
                "confidence": 0.95,
            },
            "syntax_errors": {
                "patterns": [
                    "SyntaxError: invalid syntax",
                    "IndentationError: expected an indented block",
                ],
                "automated_fixes": [
                    "Apply automatic formatting",
                    "Fix indentation using detected style",
                ],
                "confidence": 0.88,
            },
        }

        yaml_content = error_patterns_generator.generate_error_patterns_yaml(
            mock_error_patterns
        )

        # Verify YAML structure
        yaml_data = yaml.safe_load(yaml_content)
        assert "import_errors" in yaml_data
        assert len(yaml_data["import_errors"]["patterns"]) == 2
        assert yaml_data["import_errors"]["confidence"] == 0.95

    def test_mkdocs_integration(self):
        """Test MkDocs Material integration."""
        mkdocs_integration = MkDocsIntegration()

        # Test configuration generation
        config = mkdocs_integration.generate_mkdocs_config(
            site_name="Crackerjack Documentation",
            repo_url="https://github.com/example/crackerjack",
        )

        # Verify config structure
        assert config["site_name"] == "Crackerjack Documentation"
        assert config["theme"]["name"] == "material"
        assert "repo_url" in config

        # Test navigation generation
        nav_structure = mkdocs_integration.generate_navigation(
            ["index.md", "quick-start.md", "api-reference.md", "agent-capabilities.md"]
        )

        assert "Home" in nav_structure[0]
        assert "Quick Start" in str(nav_structure)

    async def test_documentation_validation_system(self):
        """Test documentation consistency validation."""
        validator = DocumentationValidator()

        # Create test documentation set
        doc_set = {
            "ai_reference": "# AI Reference\n| Command | Description |\n|---------|-------------|",
            "human_readme": "# Crackerjack\nAI-powered Python development platform",
            "agent_capabilities": '{"agents": {"TestAgent": {"confidence": 0.8}}}',
        }

        # Test consistency checking
        validation_result = await validator.validate_consistency(doc_set)

        assert validation_result.is_valid
        assert len(validation_result.warnings) >= 0

        # Test conflict detection
        conflicting_doc_set = {
            "ai_reference": "Quality threshold: 85%",
            "human_readme": "Quality threshold: 90%",  # Conflict
        }

        conflict_result = await validator.detect_conflicts(conflicting_doc_set)

        assert len(conflict_result.conflicts) > 0
        assert "quality threshold" in conflict_result.conflicts[0].description.lower()

    def test_automated_reference_generation(self):
        """Test automated API reference generation."""
        ref_generator = ReferenceGenerator()

        # Mock codebase analysis
        mock_api_data = {
            "services": {
                "GitService": {
                    "methods": ["commit", "push", "get_status"],
                    "description": "Git operations service",
                    "usage_examples": ["git_service.commit('message')"],
                },
                "AgentCoordinator": {
                    "methods": ["handle_issues", "get_best_agent"],
                    "description": "AI agent coordination service",
                    "usage_examples": ["coordinator.handle_issues(issues)"],
                },
            }
        }

        reference_md = ref_generator.generate_api_reference(mock_api_data)

        # Verify reference structure
        assert "# API Reference" in reference_md
        assert "## GitService" in reference_md
        assert "git_service.commit('message')" in reference_md
        assert "## AgentCoordinator" in reference_md

    def test_documentation_deployment(self):
        """Test documentation deployment functionality."""
        deployer = DocumentationDeployer()

        # Test GitHub Pages deployment config
        gh_pages_config = deployer.generate_github_pages_config(
            domain="docs.crackerjack.dev", branch="gh-pages"
        )

        assert gh_pages_config["deployment"]["branch"] == "gh-pages"
        assert gh_pages_config["custom_domain"] == "docs.crackerjack.dev"

        # Test local development server config
        dev_config = deployer.generate_dev_server_config(
            host="127.0.0.1", port=8000, reload=True
        )

        assert dev_config["dev_addr"] == "127.0.0.1:8000"
        assert dev_config["use_directory_urls"] is True
```

## 🚀 WEEK 11-12: END-TO-END INTEGRATION TESTS

### Test Category 12: Full Workflow Integration

```python
class TestEndToEndIntegration(BaseCrackerjackFeatureTest):
    """Test complete integration of all new features."""

    async def test_complete_workflow_with_all_features(self, test_project_structure):
        """Test complete crackerjack workflow with all new features enabled."""
        # Configure options with all new features
        options = Options(
            strip_code=False,  # Semantic naming
            ai_fix=True,  # AI-powered fixing
            test=True,  # Run tests
            version_bump="auto",  # Intelligent version analysis
            comprehensive=True,  # Full quality checks
        )

        # Mock dependencies
        with ExitStack() as stack:
            mock_changelog = stack.enter_context(
                patch("crackerjack.services.changelog_automation.ChangelogAutomator")
            )
            mock_version_analyzer = stack.enter_context(
                patch("crackerjack.services.version_analyzer.VersionAnalyzer")
            )
            mock_monitoring = stack.enter_context(
                patch("crackerjack.monitoring.CrackerjackMonitoringServer")
            )

            # Configure mocks
            mock_version_analyzer.return_value.analyze_version_bump.return_value = (
                VersionBumpRecommendation(level="minor", confidence=0.8, reasons=[])
            )
            mock_changelog.return_value.update_changelog_for_version.return_value = True

            # Execute workflow
            orchestrator = WorkflowOrchestrator(options, test_project_structure)
            result = await orchestrator.execute_complete_workflow()

            # Verify all features were integrated
            assert result.success
            assert result.quality_score >= 85.0

            # Verify new features were called
            mock_version_analyzer.return_value.analyze_version_bump.assert_called()
            mock_monitoring.return_value.record_metric.assert_called()

    async def test_semantic_cli_end_to_end(self, test_project_structure):
        """Test semantic CLI integration in real workflow."""
        # Test with semantic command names
        command = [
            "python",
            "-m",
            "crackerjack",
            "--strip-code",  # Semantic: was --clean
            "--ai-fix",  # Semantic: was --ai-agent
            "--version-bump",
            "auto",  # Semantic: was --bump
            "--test",
        ]

        # Parse and execute
        result = await execute_command_integration_test(command, test_project_structure)

        # Verify semantic options were parsed correctly
        assert result.options.strip_code is True
        assert result.options.ai_fix is True
        assert result.options.version_bump == "auto"
        assert result.options.test is True

    async def test_intelligent_automation_integration(self, test_project_structure):
        """Test intelligent commit and changelog automation."""
        # Setup git repository with changes
        git_service = GitService(test_project_structure)
        await git_service.init_repository()
        await git_service.stage_changes(["crackerjack/services/new_feature.py"])

        # Test intelligent commit message generation
        commit_service = IntelligentCommitService()
        commit_message = await commit_service.generate_commit_message(
            [Path("crackerjack/services/new_feature.py")]
        )

        # Should generate semantic commit message
        assert commit_message.startswith("feat")
        assert "new_feature" in commit_message.lower()

        # Test changelog integration
        changelog_service = ChangelogAutomator(git_service)
        success = await changelog_service.update_changelog_for_version("2.0.0")

        assert success
        changelog_path = test_project_structure / "CHANGELOG.md"
        changelog_content = changelog_path.read_text()
        assert "## [2.0.0]" in changelog_content

    async def test_performance_optimization_integration(
        self, performance_benchmark_context
    ):
        """Test performance optimizations in real workflow."""
        # Create realistic workload
        large_codebase = performance_benchmark_context["large_codebase"]
        issues = create_mock_issues(
            count=large_codebase["issues"],
            types=8,  # Mixed issue types
            complexity_distribution="realistic",
        )

        # Test with optimizations disabled
        coordinator_baseline = AgentCoordinator(
            parallel_execution=False, issue_caching=False, smart_selection=False
        )

        start_time = time.time()
        baseline_result = await coordinator_baseline.handle_issues(issues)
        baseline_time = time.time() - start_time

        # Test with all optimizations enabled
        coordinator_optimized = AgentCoordinator(
            parallel_execution=True,
            issue_caching=True,
            smart_selection=True,
            progressive_enhancement=True,
        )

        start_time = time.time()
        optimized_result = await coordinator_optimized.handle_issues(issues)
        optimized_time = time.time() - start_time

        # Verify results are equivalent
        assert baseline_result.fixed_count == optimized_result.fixed_count

        # Verify performance improvement meets target (30-50%)
        self.assert_performance_improvement(
            baseline_time, optimized_time, min_improvement=0.30
        )

        # Verify cache effectiveness
        cache_hit_rate = coordinator_optimized.get_cache_hit_rate()
        assert cache_hit_rate >= 0.60  # Target: 60% hit rate

    async def test_monitoring_dashboard_integration(self, test_project_structure):
        """Test monitoring dashboard integration with workflow."""
        # Start monitoring system
        monitoring_server = CrackerjackMonitoringServer()
        await monitoring_server.start(port=8675)

        try:
            # Connect WebSocket client to monitor workflow
            async with websockets.connect("ws://localhost:8675") as websocket:
                # Subscribe to workflow metrics
                await websocket.send(
                    json.dumps({"type": "subscribe", "channel": "workflow_metrics"})
                )

                # Execute workflow in background
                options = Options(ai_fix=True, test=True)
                workflow_task = asyncio.create_task(
                    WorkflowOrchestrator(
                        options, test_project_structure
                    ).execute_workflow()
                )

                # Collect metrics during workflow
                metrics_received = []
                while not workflow_task.done():
                    try:
                        message = await asyncio.wait_for(websocket.recv(), timeout=1.0)
                        metric_data = json.loads(message)
                        if metric_data["type"] == "metric_update":
                            metrics_received.append(metric_data["data"])
                    except asyncio.TimeoutError:
                        continue

                await workflow_task

                # Verify metrics were streamed during workflow
                assert len(metrics_received) > 0

                # Verify metric types
                metric_types = {m["metric_type"] for m in metrics_received}
                expected_types = {"quality_score", "execution_time", "test_coverage"}
                assert len(metric_types.intersection(expected_types)) > 0

        finally:
            await monitoring_server.stop()

    def test_documentation_generation_integration(self, test_project_structure):
        """Test documentation generation integration."""
        doc_system = AIOptimizedDocumentationSystem()

        # Generate complete documentation set
        result = doc_system.generate_complete_documentation(test_project_structure)

        # Verify all documentation outputs
        assert result.ai_reference_generated
        assert result.agent_capabilities_generated
        assert result.error_patterns_generated
        assert result.readme_enhanced

        # Verify files were created
        assert (test_project_structure / "AI-REFERENCE.md").exists()
        assert (test_project_structure / "AGENT-CAPABILITIES.json").exists()
        assert (test_project_structure / "ERROR-PATTERNS.yaml").exists()

        # Verify content quality
        ai_ref_content = (test_project_structure / "AI-REFERENCE.md").read_text()
        assert "| Use Case |" in ai_ref_content  # Table format for AI
        assert "python -m crackerjack" in ai_ref_content  # Commands included

    async def test_regression_prevention(self, test_project_structure):
        """Test that new features don't break existing functionality."""
        # Baseline: Run workflow with original feature set
        baseline_options = Options(
            test=True,
            comprehensive=True,
            ai_fix=False,  # Disable new features
        )

        baseline_orchestrator = WorkflowOrchestrator(
            baseline_options, test_project_structure
        )
        baseline_result = await baseline_orchestrator.execute_workflow()

        baseline_metrics = {
            "success": baseline_result.success,
            "quality_score": baseline_result.quality_score,
            "execution_time": baseline_result.execution_time,
            "issues_fixed": baseline_result.issues_fixed,
        }

        # Enhanced: Run workflow with all new features
        enhanced_options = Options(
            strip_code=False,  # New semantic naming
            ai_fix=True,  # New AI features
            test=True,
            comprehensive=True,
            version_bump="auto",  # New version analysis
        )

        enhanced_orchestrator = WorkflowOrchestrator(
            enhanced_options, test_project_structure
        )
        enhanced_result = await enhanced_orchestrator.execute_workflow()

        enhanced_metrics = {
            "success": enhanced_result.success,
            "quality_score": enhanced_result.quality_score,
            "execution_time": enhanced_result.execution_time,
            "issues_fixed": enhanced_result.issues_fixed,
        }

        # Verify no regression in core functionality
        self.assert_no_regression(baseline_metrics, enhanced_metrics)

        # Enhanced version should maintain or improve quality
        assert enhanced_metrics["quality_score"] >= baseline_metrics["quality_score"]
        assert enhanced_metrics["success"] == baseline_metrics["success"]

    def test_backward_compatibility(self, test_project_structure):
        """Test backward compatibility of new features."""
        # Test that existing workflows still work
        legacy_workflow_configs = [
            {"ai_agent": True, "test": True},  # Legacy option name
            {"clean": True, "comprehensive": True},  # Legacy option name
            {"all": "patch", "skip_hooks": True},  # Legacy option names
        ]

        for config in legacy_workflow_configs:
            # Should handle gracefully with deprecation warnings
            with pytest.warns(DeprecationWarning, match="renamed"):
                options = Options(**translate_legacy_options(config))

                # Workflow should still execute successfully
                orchestrator = WorkflowOrchestrator(options, test_project_structure)
                # Test would execute workflow and verify success
                # Actual execution omitted for test performance
                assert True  # Placeholder for workflow execution test
```

## 🎯 SUCCESS CRITERIA & VALIDATION

### Test Coverage Requirements

| Component | Target Coverage | Validation Method |
|-----------|----------------|------------------|
| CLI Semantic Naming | 95% | Unit + Integration tests |
| Changelog Generation | 95% | Unit + Workflow tests |
| Version Bump Analyzer | 90% | Unit + Integration tests |
| Speed Optimization | 85% | Performance benchmarks |
| Monitoring Dashboard | 90% | Integration + E2E tests |
| Documentation System | 95% | Generation + Validation tests |
| End-to-End Integration | 90% | Full workflow tests |

### Performance Validation Targets

| Feature | Performance Target | Test Validation |
|---------|------------------|----------------|
| Parallel Execution | 30-50% faster | Performance comparison tests |
| Issue Caching | 60% hit rate | Cache effectiveness tests |
| Agent Selection | 40% fewer checks | Optimization measurement tests |
| WebSocket Streaming | \<100ms latency | Real-time performance tests |
| Database Operations | \<50ms queries | Database performance tests |

### Quality Gates

#### Pre-Implementation Gates:

1. **Test Plan Review** - Architecture validation for testability
1. **Mock Strategy** - Comprehensive mocking for isolated testing
1. **Performance Baseline** - Establish measurement baselines
1. **Integration Points** - Identify and plan integration testing

#### Post-Implementation Gates:

1. **Unit Test Coverage** ≥95% for new features
1. **Integration Test Pass Rate** ≥98%
1. **Performance Benchmark Validation** - All targets met
1. **Regression Test Suite** - No existing functionality broken
1. **End-to-End Workflow Validation** - Complete scenarios tested

## 📅 IMPLEMENTATION SCHEDULE FOR QWEN

### Week 1: Foundation & CLI Tests

- **Monday-Tuesday**: Set up test infrastructure, base classes, fixtures
- **Wednesday-Thursday**: CLI semantic naming tests (Categories 1-2)
- **Friday**: Performance baseline establishment and benchmarking setup

### Week 2: Changelog & Version Tests

- **Monday-Tuesday**: Changelog generation tests (Category 3)
- **Wednesday**: Changelog publish integration tests (Category 4)
- **Thursday-Friday**: Version bump analyzer tests (Categories 5-6)

### Week 3: Performance & Optimization Tests

- **Monday-Tuesday**: Speed optimization tests (Category 7)
- **Wednesday-Thursday**: Caching system tests (Category 8)
- **Friday**: Performance validation and benchmarking

### Week 4: Monitoring Tests

- **Monday-Tuesday**: WebSocket and real-time tests (Category 9)
- **Wednesday-Thursday**: Database persistence tests (Category 10)
- **Friday**: Monitoring integration testing

### Week 5: Documentation Tests

- **Monday-Tuesday**: Documentation generation tests (Category 11)
- **Wednesday**: AI/Human dual output validation
- **Thursday-Friday**: Documentation consistency and deployment tests

### Week 6: Integration & Validation

- **Monday-Tuesday**: End-to-end integration tests (Category 12)
- **Wednesday**: Regression testing and backward compatibility
- **Thursday**: Performance validation and optimization verification
- **Friday**: Final test suite validation and quality gate verification

## 🔧 TESTING UTILITIES & HELPERS

### Mock Data Generators

```python
def create_mock_issues(
    count: int, types: int, complexity_distribution: str = "normal"
) -> list[Issue]:
    """Create realistic mock issues for testing."""
    issue_types = [
        IssueType.COMPLEXITY,
        IssueType.SECURITY,
        IssueType.FORMATTING,
        IssueType.DOCUMENTATION,
        IssueType.TEST_FAILURE,
        IssueType.DRY_VIOLATION,
    ]

    issues = []
    for i in range(count):
        issue_type = random.choice(issue_types[:types])

        # Vary complexity based on distribution
        if complexity_distribution == "realistic":
            confidence = random.triangular(
                0.3, 0.95, 0.7
            )  # Most issues medium confidence
        else:
            confidence = random.uniform(0.3, 0.95)

        issue = Issue(
            type=issue_type,
            message=f"Test issue {i} of type {issue_type.value}",
            file_path=Path(f"test_file_{i % 20}.py"),
            line_number=random.randint(1, 100),
            confidence=confidence,
        )
        issues.append(issue)

    return issues


def create_mock_git_commits(count: int, conventional: bool = True) -> list[GitCommit]:
    """Create mock git commits with optional conventional commit format."""
    commit_types = ["feat", "fix", "docs", "style", "refactor", "test", "chore"]
    commits = []

    for i in range(count):
        if conventional:
            commit_type = random.choice(commit_types)
            message = f"{commit_type}: implement feature {i}"
        else:
            message = f"Implement feature {i}"

        commit = GitCommit(
            hash=f"{'a' * 8}{i:03d}",
            message=message,
            author="Test Author",
            date=f"2024-01-{i % 28 + 1:02d}",
        )
        commits.append(commit)

    return commits
```

### Performance Testing Utilities

```python
class PerformanceTestHelper:
    """Helper class for performance testing."""

    @staticmethod
    def measure_execution_time(func):
        """Decorator to measure function execution time."""

        async def wrapper(*args, **kwargs):
            start_time = time.time()
            result = await func(*args, **kwargs)
            execution_time = time.time() - start_time
            result._execution_time = execution_time
            return result

        return wrapper

    @staticmethod
    def assert_performance_target(
        baseline_time: float,
        optimized_time: float,
        target_improvement: float,
        feature_name: str,
    ):
        """Assert performance improvement meets target."""
        actual_improvement = (baseline_time - optimized_time) / baseline_time
        assert actual_improvement >= target_improvement, (
            f"{feature_name} performance improvement "
            f"({actual_improvement:.1%}) below target ({target_improvement:.1%})"
        )

    @staticmethod
    def benchmark_memory_usage(func):
        """Measure memory usage of function."""
        import psutil

        process = psutil.Process()

        async def wrapper(*args, **kwargs):
            initial_memory = process.memory_info().rss
            result = await func(*args, **kwargs)
            final_memory = process.memory_info().rss

            result._memory_delta = final_memory - initial_memory
            return result

        return wrapper
```

This comprehensive test implementation plan provides Qwen with detailed guidance for implementing robust, thorough tests for all remaining crackerjack features. The tests focus on validation, performance, integration, and regression prevention while maintaining the high quality standards expected from the crackerjack project.

**Key Benefits:**

- **Comprehensive Coverage**: 95%+ test coverage for all new features
- **Performance Validation**: Automated verification of performance improvements
- **Integration Confidence**: End-to-end workflow testing
- **Regression Prevention**: Ensures new features don't break existing functionality
- **Quality Gates**: Clear criteria for successful implementation

**Implementation Strategy:**

- **TDD Approach**: Tests with 2-day offset for API stabilization
- **Realistic Test Data**: Mock objects that simulate real-world scenarios
- **Performance Benchmarking**: Automated validation of performance targets
- **Continuous Validation**: Tests run at multiple stages of development

This plan ensures that all new crackerjack features are thoroughly tested, performant, and maintain the high standards users expect from the platform.
