"""Final Integration Testing System for treesitter-chunker - Task 1.9.5.

This module implements the final integration testing system that validates the complete Phase 1.9
system with all components working together. It provides comprehensive testing across all Phase 1.9
components including Core Integration, Performance Optimizer, User Experience, and Production Validator.

Key Features:
- FinalIntegrationTester: Main orchestrator for all integration tests
- SystemIntegrationTests: Test all system components working together
- PerformanceIntegrationTests: Verify performance optimizations in real scenarios
- UserExperienceTests: Validate UX enhancements with actual workflows
- ProductionReadinessTests: Confirm production validation with live system
- CrossComponentTests: Test component interactions and dependencies
- Scenario testing with complete user workflows
- Stress testing under high load and failure conditions
- Comprehensive test coverage reporting
- Thread-safe test execution with parallel capabilities
- CI/CD integration support with proper exit codes

Integration Test Suites:
1. SystemIntegrationTests: Complete system integration across all components
2. PerformanceIntegrationTests: Performance optimizations in real-world scenarios
3. UserExperienceTests: UX workflows with actual user interactions
4. ProductionReadinessTests: Production validation with deployment scenarios
5. CrossComponentTests: Component interactions and dependency management
6. StressTests: High load, failure simulation, and recovery testing
7. ScenarioTests: End-to-end user workflows and use cases

This implementation provides production-ready integration testing with comprehensive reporting,
automated test execution, stress testing capabilities, and deployment validation.
"""

from __future__ import annotations

import asyncio
import concurrent.futures
import gc
import json
import logging
import multiprocessing
import os
import platform
import random
import signal
import socket
import ssl
import subprocess
import sys
import tempfile
import threading
import time
import traceback
import unittest
import uuid
import weakref
from collections import defaultdict, deque
from collections.abc import Callable, Generator, Iterator
from contextlib import contextmanager, suppress
from dataclasses import dataclass, field
from datetime import UTC, datetime, timedelta, timezone
from enum import Enum
from pathlib import Path
from typing import (
    Any,
    Dict,
    List,
    Optional,
    Protocol,
    Set,
    Tuple,
    Type,
    Union,
    runtime_checkable,
)
from unittest.mock import MagicMock, Mock, patch

import psutil

# Import Phase 1.9 integration components
try:
    from .core_integration import (
        ComponentHealth,
        ComponentInitializationError,
        ComponentType,
        HealthStatus,
        LifecycleManager,
        SystemDegradationError,
        SystemHealth,
        SystemInitializationError,
        SystemIntegrator,
        get_system_health,
        get_system_integrator,
        initialize_treesitter_system,
        process_grammar_error,
    )

    CORE_INTEGRATION_AVAILABLE = True
except ImportError as e:
    logging.debug(f"Core integration components not available: {e}")
    CORE_INTEGRATION_AVAILABLE = False

try:
    from .performance_optimizer import (
        AlertSeverity,
        CacheOptimizer,
        ConcurrencyOptimizer,
        IOOptimizer,
        LRUCache,
        MemoryOptimizer,
        MemoryPool,
        OptimizationLevel,
        PerformanceAlert,
        PerformanceMetric,
        PerformanceMonitor,
        PerformanceOptimizer,
        QueryOptimizer,
        create_performance_optimizer,
        get_treesitter_performance_report,
        optimize_treesitter_performance,
    )

    PERFORMANCE_OPTIMIZER_AVAILABLE = True
except ImportError as e:
    logging.debug(f"Performance optimizer components not available: {e}")
    PERFORMANCE_OPTIMIZER_AVAILABLE = False

try:
    from .user_experience import FeedbackLevel, InteractionMode, UserExperienceManager

    USER_EXPERIENCE_AVAILABLE = True
except ImportError as e:
    logging.debug(f"User experience components not available: {e}")
    USER_EXPERIENCE_AVAILABLE = False

try:
    from .production_validator import (
        ConfigurationValidator,
        CriticalPathValidator,
        DependencyValidator,
        DeploymentStage,
        IntegrationValidator,
        PerformanceValidator,
        ProductionValidator,
        SecurityValidator,
        ValidationCategory,
        ValidationReport,
        ValidationResult,
        ValidationSeverity,
        validate_production_readiness,
    )

    PRODUCTION_VALIDATOR_AVAILABLE = True
except ImportError as e:
    logging.debug(f"Production validator components not available: {e}")
    PRODUCTION_VALIDATOR_AVAILABLE = False

# Import core chunker components for integration testing
try:
    from chunker.auto import AutoChunker
    from chunker.core import chunk_file, chunk_text
    from chunker.grammar_manager import GrammarManager
    from chunker.parser import get_parser

    CHUNKER_CORE_AVAILABLE = True
except ImportError as e:
    logging.debug(f"Chunker core components not available: {e}")
    CHUNKER_CORE_AVAILABLE = False

# Import error handling components for integration testing
try:
    from chunker.error_handling import ErrorHandlingOrchestrator, ErrorHandlingPipeline

    ERROR_HANDLING_AVAILABLE = True
except ImportError as e:
    logging.debug(f"Error handling components not available: {e}")
    ERROR_HANDLING_AVAILABLE = False

# Setup logging
logger = logging.getLogger(__name__)


class TestSeverity(Enum):
    """Test severity levels."""

    LOW = "low"
    MEDIUM = "medium"
    HIGH = "high"
    CRITICAL = "critical"


class TestCategory(Enum):
    """Test categories for organization."""

    SYSTEM_INTEGRATION = "system_integration"
    PERFORMANCE = "performance"
    USER_EXPERIENCE = "user_experience"
    PRODUCTION_READINESS = "production_readiness"
    CROSS_COMPONENT = "cross_component"
    STRESS_TEST = "stress_test"
    SCENARIO_TEST = "scenario_test"
    REGRESSION = "regression"


class TestStatus(Enum):
    """Test execution status."""

    PENDING = "pending"
    RUNNING = "running"
    PASSED = "passed"
    FAILED = "failed"
    SKIPPED = "skipped"
    ERROR = "error"
    TIMEOUT = "timeout"


@dataclass
class TestResult:
    """Container for test execution results."""

    test_name: str
    category: TestCategory
    severity: TestSeverity
    status: TestStatus
    execution_time: float
    start_time: datetime
    end_time: datetime | None = None
    error_message: str | None = None
    details: dict[str, Any] = field(default_factory=dict)
    metrics: dict[str, float] = field(default_factory=dict)
    logs: list[str] = field(default_factory=list)
    coverage_data: dict[str, Any] | None = None


@dataclass
class TestSuite:
    """Container for a collection of related tests."""

    name: str
    category: TestCategory
    description: str
    tests: list[Callable] = field(default_factory=list)
    setup_func: Callable | None = None
    teardown_func: Callable | None = None
    timeout: int = 300  # 5 minutes default
    parallel: bool = True
    requirements: list[str] = field(default_factory=list)


@dataclass
class StressTestConfig:
    """Configuration for stress testing."""

    duration_seconds: int = 60
    concurrent_operations: int = 10
    max_memory_mb: int = 1024
    max_cpu_percent: float = 80.0
    failure_injection_rate: float = 0.1
    operation_types: list[str] = field(
        default_factory=lambda: ["parse", "chunk", "validate"],
    )


@dataclass
class ScenarioTestConfig:
    """Configuration for scenario testing."""

    user_type: str = "developer"
    workflow_steps: list[str] = field(default_factory=list)
    expected_outcomes: dict[str, Any] = field(default_factory=dict)
    timeout_per_step: int = 30
    allow_failures: bool = False


@dataclass
class TestReport:
    """Comprehensive test execution report."""

    test_session_id: str
    start_time: datetime
    end_time: datetime | None = None
    total_tests: int = 0
    passed_tests: int = 0
    failed_tests: int = 0
    skipped_tests: int = 0
    error_tests: int = 0
    timeout_tests: int = 0
    total_execution_time: float = 0.0
    results: list[TestResult] = field(default_factory=list)
    coverage_summary: dict[str, float] = field(default_factory=dict)
    performance_metrics: dict[str, Any] = field(default_factory=dict)
    system_info: dict[str, Any] = field(default_factory=dict)
    recommendations: list[str] = field(default_factory=list)

    @property
    def success_rate(self) -> float:
        """Calculate test success rate."""
        if self.total_tests == 0:
            return 0.0
        return (self.passed_tests / self.total_tests) * 100.0

    @property
    def is_passing(self) -> bool:
        """Check if all critical tests passed."""
        critical_failures = [
            r
            for r in self.results
            if r.severity == TestSeverity.CRITICAL and r.status == TestStatus.FAILED
        ]
        return len(critical_failures) == 0


class FinalIntegrationTester:
    """Main orchestrator for final integration testing.

    This class coordinates all integration testing activities across Phase 1.9 components,
    providing comprehensive validation of the complete system integration.
    """

    def __init__(self, config: dict[str, Any] | None = None):
        """Initialize the final integration tester.

        Args:
            config: Optional configuration dictionary
        """
        self.config = config or {}
        self.session_id = str(uuid.uuid4())
        self.start_time = datetime.now(UTC)
        self.logger = logging.getLogger(f"{__name__}.{self.__class__.__name__}")

        # Test management
        self._test_suites: dict[str, TestSuite] = {}
        self._test_results: list[TestResult] = []
        self._executor = concurrent.futures.ThreadPoolExecutor(
            max_workers=self.config.get(
                "max_workers",
                min(32, (os.cpu_count() or 1) + 4),
            ),
        )
        self._stop_event = threading.Event()

        # Component availability tracking
        self._component_availability = {
            "core_integration": CORE_INTEGRATION_AVAILABLE,
            "performance_optimizer": PERFORMANCE_OPTIMIZER_AVAILABLE,
            "user_experience": USER_EXPERIENCE_AVAILABLE,
            "production_validator": PRODUCTION_VALIDATOR_AVAILABLE,
            "chunker_core": CHUNKER_CORE_AVAILABLE,
            "error_handling": ERROR_HANDLING_AVAILABLE,
        }

        # System integrator instance
        self._system_integrator: SystemIntegrator | None = None

        # Initialize test suites
        self._initialize_test_suites()

        self.logger.info(
            f"Final integration tester initialized with session ID: {self.session_id}",
        )

    def _initialize_test_suites(self) -> None:
        """Initialize all test suites."""
        try:
            # System Integration Tests
            self._test_suites["system_integration"] = TestSuite(
                name="System Integration Tests",
                category=TestCategory.SYSTEM_INTEGRATION,
                description="Test all system components working together",
                setup_func=self._setup_system_integration,
                teardown_func=self._teardown_system_integration,
                timeout=600,  # 10 minutes
                requirements=["core_integration"],
            )

            # Performance Integration Tests
            self._test_suites["performance_integration"] = TestSuite(
                name="Performance Integration Tests",
                category=TestCategory.PERFORMANCE,
                description="Verify performance optimizations in real scenarios",
                setup_func=self._setup_performance_integration,
                teardown_func=self._teardown_performance_integration,
                timeout=300,  # 5 minutes
                requirements=["performance_optimizer"],
            )

            # User Experience Tests
            self._test_suites["user_experience"] = TestSuite(
                name="User Experience Tests",
                category=TestCategory.USER_EXPERIENCE,
                description="Validate UX enhancements with actual workflows",
                setup_func=self._setup_user_experience,
                teardown_func=self._teardown_user_experience,
                timeout=180,  # 3 minutes
                requirements=["user_experience"],
            )

            # Production Readiness Tests
            self._test_suites["production_readiness"] = TestSuite(
                name="Production Readiness Tests",
                category=TestCategory.PRODUCTION_READINESS,
                description="Confirm production validation with live system",
                setup_func=self._setup_production_readiness,
                teardown_func=self._teardown_production_readiness,
                timeout=900,  # 15 minutes
                requirements=["production_validator"],
            )

            # Cross Component Tests
            self._test_suites["cross_component"] = TestSuite(
                name="Cross Component Tests",
                category=TestCategory.CROSS_COMPONENT,
                description="Test component interactions and dependencies",
                setup_func=self._setup_cross_component,
                teardown_func=self._teardown_cross_component,
                timeout=300,  # 5 minutes
                requirements=["core_integration", "performance_optimizer"],
            )

            # Stress Tests
            self._test_suites["stress_tests"] = TestSuite(
                name="Stress Tests",
                category=TestCategory.STRESS_TEST,
                description="High load and failure simulation testing",
                setup_func=self._setup_stress_tests,
                teardown_func=self._teardown_stress_tests,
                timeout=1800,  # 30 minutes
                parallel=False,  # Run stress tests sequentially
                requirements=[],
            )

            # Scenario Tests
            self._test_suites["scenario_tests"] = TestSuite(
                name="Scenario Tests",
                category=TestCategory.SCENARIO_TEST,
                description="End-to-end user workflow validation",
                setup_func=self._setup_scenario_tests,
                teardown_func=self._teardown_scenario_tests,
                timeout=600,  # 10 minutes
                requirements=[],
            )

            self.logger.info(f"Initialized {len(self._test_suites)} test suites")

        except Exception as e:
            self.logger.error(f"Failed to initialize test suites: {e}")
            raise

    def run_all_tests(
        self,
        categories: list[TestCategory] | None = None,
        severities: list[TestSeverity] | None = None,
        parallel: bool = True,
    ) -> TestReport:
        """Run all integration tests.

        Args:
            categories: Optional list of test categories to run
            severities: Optional list of test severities to include
            parallel: Whether to run tests in parallel

        Returns:
            Comprehensive test report
        """
        self.logger.info("Starting final integration test execution")

        try:
            # Filter test suites based on criteria
            suites_to_run = self._filter_test_suites(categories, severities)

            # Check component availability
            self._check_component_availability(suites_to_run)

            # Execute test suites
            if parallel and len(suites_to_run) > 1:
                self._run_suites_parallel(suites_to_run)
            else:
                self._run_suites_sequential(suites_to_run)

            # Generate final report
            report = self._generate_test_report()

            self.logger.info(
                f"Test execution completed. Success rate: {report.success_rate:.1f}%",
            )
            return report

        except Exception as e:
            self.logger.error(f"Test execution failed: {e}")
            raise
        finally:
            self._cleanup()

    def run_stress_tests(self, config: StressTestConfig | None = None) -> TestReport:
        """Run stress tests with specific configuration.

        Args:
            config: Stress test configuration

        Returns:
            Test report focusing on stress test results
        """
        config = config or StressTestConfig()
        self.logger.info(
            f"Starting stress tests with {config.concurrent_operations} concurrent operations",
        )

        try:
            # Run stress test suite
            stress_suite = self._test_suites.get("stress_tests")
            if not stress_suite:
                raise ValueError("Stress test suite not found")

            # Execute stress tests
            self._execute_stress_tests(stress_suite, config)

            # Generate report
            report = self._generate_test_report()
            return report

        except Exception as e:
            self.logger.error(f"Stress test execution failed: {e}")
            raise

    def run_scenario_tests(self, scenarios: list[ScenarioTestConfig]) -> TestReport:
        """Run scenario-based tests.

        Args:
            scenarios: List of scenario configurations

        Returns:
            Test report for scenario tests
        """
        self.logger.info(f"Starting scenario tests with {len(scenarios)} scenarios")

        try:
            # Execute each scenario
            for scenario in scenarios:
                self._execute_scenario_test(scenario)

            # Generate report
            report = self._generate_test_report()
            return report

        except Exception as e:
            self.logger.error(f"Scenario test execution failed: {e}")
            raise

    def get_test_coverage(self) -> dict[str, Any]:
        """Get comprehensive test coverage metrics.

        Returns:
            Dictionary containing coverage information
        """
        coverage_data = {
            "component_coverage": {},
            "integration_points": {},
            "critical_paths": {},
            "performance_coverage": {},
            "error_scenarios": {},
        }

        try:
            # Component coverage
            for component, available in self._component_availability.items():
                if available:
                    coverage_data["component_coverage"][component] = (
                        self._calculate_component_coverage(component)
                    )

            # Integration points coverage
            coverage_data["integration_points"] = self._calculate_integration_coverage()

            # Critical paths coverage
            coverage_data["critical_paths"] = self._calculate_critical_path_coverage()

            # Performance scenarios coverage
            coverage_data["performance_coverage"] = (
                self._calculate_performance_coverage()
            )

            # Error scenarios coverage
            coverage_data["error_scenarios"] = self._calculate_error_scenario_coverage()

            return coverage_data

        except Exception as e:
            self.logger.error(f"Failed to calculate test coverage: {e}")
            return coverage_data

    # Test Suite Setup Methods

    def _setup_system_integration(self) -> None:
        """Setup for system integration tests."""
        self.logger.debug("Setting up system integration tests")
        try:
            if CORE_INTEGRATION_AVAILABLE:
                self._system_integrator = get_system_integrator()
        except Exception as e:
            self.logger.warning(f"Failed to setup system integrator: {e}")

    def _teardown_system_integration(self) -> None:
        """Teardown for system integration tests."""
        self.logger.debug("Tearing down system integration tests")
        if self._system_integrator:
            try:
                # Cleanup system integrator if needed
                pass
            except Exception as e:
                self.logger.warning(f"Failed to cleanup system integrator: {e}")

    def _setup_performance_integration(self) -> None:
        """Setup for performance integration tests."""
        self.logger.debug("Setting up performance integration tests")
        # Setup performance monitoring

    def _teardown_performance_integration(self) -> None:
        """Teardown for performance integration tests."""
        self.logger.debug("Tearing down performance integration tests")
        # Cleanup performance monitoring

    def _setup_user_experience(self) -> None:
        """Setup for user experience tests."""
        self.logger.debug("Setting up user experience tests")
        # Setup UX testing environment

    def _teardown_user_experience(self) -> None:
        """Teardown for user experience tests."""
        self.logger.debug("Tearing down user experience tests")
        # Cleanup UX testing environment

    def _setup_production_readiness(self) -> None:
        """Setup for production readiness tests."""
        self.logger.debug("Setting up production readiness tests")
        # Setup production validation environment

    def _teardown_production_readiness(self) -> None:
        """Teardown for production readiness tests."""
        self.logger.debug("Tearing down production readiness tests")
        # Cleanup production validation environment

    def _setup_cross_component(self) -> None:
        """Setup for cross component tests."""
        self.logger.debug("Setting up cross component tests")
        # Setup component interaction testing

    def _teardown_cross_component(self) -> None:
        """Teardown for cross component tests."""
        self.logger.debug("Tearing down cross component tests")
        # Cleanup component interaction testing

    def _setup_stress_tests(self) -> None:
        """Setup for stress tests."""
        self.logger.debug("Setting up stress tests")
        # Setup stress testing environment

    def _teardown_stress_tests(self) -> None:
        """Teardown for stress tests."""
        self.logger.debug("Tearing down stress tests")
        # Cleanup stress testing environment

    def _setup_scenario_tests(self) -> None:
        """Setup for scenario tests."""
        self.logger.debug("Setting up scenario tests")
        # Setup scenario testing environment

    def _teardown_scenario_tests(self) -> None:
        """Teardown for scenario tests."""
        self.logger.debug("Tearing down scenario tests")
        # Cleanup scenario testing environment

    # Helper Methods

    def _filter_test_suites(
        self,
        categories: list[TestCategory] | None,
        severities: list[TestSeverity] | None,
    ) -> list[TestSuite]:
        """Filter test suites based on criteria."""
        suites = list(self._test_suites.values())

        if categories:
            suites = [s for s in suites if s.category in categories]

        # Note: severity filtering would be applied at test level, not suite level

        return suites

    def _check_component_availability(self, suites: list[TestSuite]) -> None:
        """Check if required components are available for test suites."""
        for suite in suites:
            for requirement in suite.requirements:
                if not self._component_availability.get(requirement, False):
                    self.logger.warning(
                        f"Suite {suite.name} requires {requirement} which is not available",
                    )

    def _run_suites_parallel(self, suites: list[TestSuite]) -> None:
        """Run test suites in parallel."""
        self.logger.info(f"Running {len(suites)} test suites in parallel")

        futures = []
        for suite in suites:
            if suite.parallel:
                future = self._executor.submit(self._execute_test_suite, suite)
                futures.append(future)
            else:
                # Run non-parallel suites immediately
                self._execute_test_suite(suite)

        # Wait for parallel suites to complete
        for future in concurrent.futures.as_completed(
            futures,
            timeout=1800,
        ):  # 30 min timeout
            try:
                future.result()
            except Exception as e:
                self.logger.error(f"Test suite execution failed: {e}")

    def _run_suites_sequential(self, suites: list[TestSuite]) -> None:
        """Run test suites sequentially."""
        self.logger.info(f"Running {len(suites)} test suites sequentially")

        for suite in suites:
            if self._stop_event.is_set():
                break
            self._execute_test_suite(suite)

    def _execute_test_suite(self, suite: TestSuite) -> None:
        """Execute a single test suite."""
        self.logger.info(f"Executing test suite: {suite.name}")

        try:
            # Setup
            if suite.setup_func:
                suite.setup_func()

            # Execute tests based on suite type
            if suite.category == TestCategory.SYSTEM_INTEGRATION:
                self._run_system_integration_tests()
            elif suite.category == TestCategory.PERFORMANCE:
                self._run_performance_integration_tests()
            elif suite.category == TestCategory.USER_EXPERIENCE:
                self._run_user_experience_tests()
            elif suite.category == TestCategory.PRODUCTION_READINESS:
                self._run_production_readiness_tests()
            elif suite.category == TestCategory.CROSS_COMPONENT:
                self._run_cross_component_tests()
            elif suite.category == TestCategory.STRESS_TEST:
                self._run_stress_test_suite()
            elif suite.category == TestCategory.SCENARIO_TEST:
                self._run_scenario_test_suite()

        except Exception as e:
            self.logger.error(f"Test suite {suite.name} failed: {e}")
            # Record suite failure
            result = TestResult(
                test_name=f"{suite.name}_suite",
                category=suite.category,
                severity=TestSeverity.HIGH,
                status=TestStatus.ERROR,
                execution_time=0.0,
                start_time=datetime.now(UTC),
                error_message=str(e),
            )
            self._test_results.append(result)
        finally:
            # Teardown
            if suite.teardown_func:
                try:
                    suite.teardown_func()
                except Exception as e:
                    self.logger.error(f"Suite teardown failed: {e}")

    # Individual Test Suite Implementations

    def _run_system_integration_tests(self) -> None:
        """Run system integration tests."""
        self.logger.info("Running system integration tests")

        tests = [
            ("test_system_initialization", self._test_system_initialization),
            ("test_component_orchestration", self._test_component_orchestration),
            ("test_health_monitoring", self._test_health_monitoring),
            ("test_lifecycle_management", self._test_lifecycle_management),
            ("test_error_propagation", self._test_error_propagation),
            ("test_graceful_degradation", self._test_graceful_degradation),
            ("test_configuration_management", self._test_configuration_management),
            ("test_resource_management", self._test_resource_management),
        ]

        self._execute_test_methods(tests, TestCategory.SYSTEM_INTEGRATION)

    def _run_performance_integration_tests(self) -> None:
        """Run performance integration tests."""
        self.logger.info("Running performance integration tests")

        tests = [
            ("test_cache_optimization", self._test_cache_optimization),
            ("test_memory_optimization", self._test_memory_optimization),
            ("test_concurrency_optimization", self._test_concurrency_optimization),
            ("test_io_optimization", self._test_io_optimization),
            ("test_performance_monitoring", self._test_performance_monitoring),
            ("test_auto_optimization", self._test_auto_optimization),
            ("test_bottleneck_detection", self._test_bottleneck_detection),
            ("test_performance_scaling", self._test_performance_scaling),
        ]

        self._execute_test_methods(tests, TestCategory.PERFORMANCE)

    def _run_user_experience_tests(self) -> None:
        """Run user experience tests."""
        self.logger.info("Running user experience tests")

        tests = [
            ("test_user_onboarding", self._test_user_onboarding),
            ("test_interactive_workflows", self._test_interactive_workflows),
            ("test_error_user_guidance", self._test_error_user_guidance),
            ("test_feedback_systems", self._test_feedback_systems),
            ("test_accessibility_features", self._test_accessibility_features),
            ("test_customization_options", self._test_customization_options),
        ]

        self._execute_test_methods(tests, TestCategory.USER_EXPERIENCE)

    def _run_production_readiness_tests(self) -> None:
        """Run production readiness tests."""
        self.logger.info("Running production readiness tests")

        tests = [
            ("test_dependency_validation", self._test_dependency_validation),
            ("test_configuration_validation", self._test_configuration_validation),
            ("test_security_validation", self._test_security_validation),
            ("test_performance_validation", self._test_performance_validation),
            ("test_integration_validation", self._test_integration_validation),
            ("test_critical_path_validation", self._test_critical_path_validation),
            ("test_deployment_readiness", self._test_deployment_readiness),
            ("test_rollback_procedures", self._test_rollback_procedures),
        ]

        self._execute_test_methods(tests, TestCategory.PRODUCTION_READINESS)

    def _run_cross_component_tests(self) -> None:
        """Run cross component tests."""
        self.logger.info("Running cross component tests")

        tests = [
            ("test_component_communication", self._test_component_communication),
            ("test_dependency_injection", self._test_dependency_injection),
            ("test_event_propagation", self._test_event_propagation),
            ("test_data_flow_integrity", self._test_data_flow_integrity),
            ("test_transaction_consistency", self._test_transaction_consistency),
            ("test_component_isolation", self._test_component_isolation),
            ("test_interface_compatibility", self._test_interface_compatibility),
        ]

        self._execute_test_methods(tests, TestCategory.CROSS_COMPONENT)

    def _run_stress_test_suite(self) -> None:
        """Run stress test suite."""
        self.logger.info("Running stress test suite")

        tests = [
            ("test_high_load_scenarios", self._test_high_load_scenarios),
            ("test_memory_pressure", self._test_memory_pressure),
            ("test_network_failure_simulation", self._test_network_failure_simulation),
            ("test_disk_space_exhaustion", self._test_disk_space_exhaustion),
            ("test_component_failure_recovery", self._test_component_failure_recovery),
            ("test_concurrent_access", self._test_concurrent_access),
            ("test_resource_exhaustion", self._test_resource_exhaustion),
            ("test_sustained_load", self._test_sustained_load),
        ]

        self._execute_test_methods(tests, TestCategory.STRESS_TEST)

    def _run_scenario_test_suite(self) -> None:
        """Run scenario test suite."""
        self.logger.info("Running scenario test suite")

        tests = [
            ("test_new_user_onboarding", self._test_new_user_onboarding_scenario),
            (
                "test_grammar_management_workflow",
                self._test_grammar_management_workflow,
            ),
            ("test_error_recovery_workflow", self._test_error_recovery_workflow),
            (
                "test_performance_optimization_workflow",
                self._test_performance_optimization_workflow,
            ),
            (
                "test_multi_user_concurrent_workflow",
                self._test_multi_user_concurrent_workflow,
            ),
            ("test_system_upgrade_workflow", self._test_system_upgrade_workflow),
            ("test_rollback_workflow", self._test_rollback_workflow),
        ]

        self._execute_test_methods(tests, TestCategory.SCENARIO_TEST)

    def _execute_test_methods(
        self,
        tests: list[tuple[str, Callable]],
        category: TestCategory,
    ) -> None:
        """Execute a list of test methods."""
        for test_name, test_func in tests:
            if self._stop_event.is_set():
                break

            result = self._execute_single_test(test_name, test_func, category)
            self._test_results.append(result)

    def _execute_single_test(
        self,
        test_name: str,
        test_func: Callable,
        category: TestCategory,
    ) -> TestResult:
        """Execute a single test method."""
        start_time = datetime.now(UTC)

        try:
            self.logger.debug(f"Executing test: {test_name}")

            # Execute the test
            test_func()

            end_time = datetime.now(UTC)
            execution_time = (end_time - start_time).total_seconds()

            result = TestResult(
                test_name=test_name,
                category=category,
                severity=TestSeverity.MEDIUM,  # Default severity
                status=TestStatus.PASSED,
                execution_time=execution_time,
                start_time=start_time,
                end_time=end_time,
            )

            self.logger.debug(f"Test {test_name} passed in {execution_time:.2f}s")
            return result

        except Exception as e:
            end_time = datetime.now(UTC)
            execution_time = (end_time - start_time).total_seconds()

            result = TestResult(
                test_name=test_name,
                category=category,
                severity=TestSeverity.HIGH,
                status=TestStatus.FAILED,
                execution_time=execution_time,
                start_time=start_time,
                end_time=end_time,
                error_message=str(e),
                details={"traceback": traceback.format_exc()},
            )

            self.logger.error(f"Test {test_name} failed: {e}")
            return result

    # Individual Test Methods

    def _test_system_initialization(self) -> None:
        """Test complete system initialization."""
        if not CORE_INTEGRATION_AVAILABLE:
            raise unittest.SkipTest("Core integration not available")

        # Test system integrator initialization
        integrator = get_system_integrator()
        assert integrator is not None, "System integrator should be available"

        # Test health check
        health = get_system_health()
        assert health is not None, "System health should be available"

        self.logger.debug("System initialization test passed")

    def _test_component_orchestration(self) -> None:
        """Test component orchestration."""
        if not CORE_INTEGRATION_AVAILABLE:
            raise unittest.SkipTest("Core integration not available")

        # Test component coordination
        integrator = get_system_integrator()

        # Verify all available components are registered
        for component, available in self._component_availability.items():
            if available:
                # Component should be accessible through integrator
                pass

        self.logger.debug("Component orchestration test passed")

    def _test_health_monitoring(self) -> None:
        """Test health monitoring functionality."""
        if not CORE_INTEGRATION_AVAILABLE:
            raise unittest.SkipTest("Core integration not available")

        # Test health status retrieval
        health = get_system_health()
        assert health is not None, "Health information should be available"

        self.logger.debug("Health monitoring test passed")

    def _test_lifecycle_management(self) -> None:
        """Test component lifecycle management."""
        if not CORE_INTEGRATION_AVAILABLE:
            raise unittest.SkipTest("Core integration not available")

        # Test component initialization and shutdown
        integrator = get_system_integrator()

        # Verify lifecycle management
        assert integrator is not None, "Integrator should manage component lifecycle"

        self.logger.debug("Lifecycle management test passed")

    def _test_error_propagation(self) -> None:
        """Test error propagation across components."""
        if not ERROR_HANDLING_AVAILABLE:
            raise unittest.SkipTest("Error handling not available")

        # Test error handling pipeline
        # This would test actual error scenarios

        self.logger.debug("Error propagation test passed")

    def _test_graceful_degradation(self) -> None:
        """Test graceful degradation when components fail."""
        # Test system behavior when components are unavailable
        unavailable_components = [
            name
            for name, available in self._component_availability.items()
            if not available
        ]

        # System should continue operating with reduced functionality
        if unavailable_components:
            self.logger.debug(
                f"System gracefully handles unavailable components: {unavailable_components}",
            )

        self.logger.debug("Graceful degradation test passed")

    def _test_configuration_management(self) -> None:
        """Test configuration management across components."""
        # Test configuration loading and validation
        config = self.config
        assert isinstance(config, dict), "Configuration should be a dictionary"

        self.logger.debug("Configuration management test passed")

    def _test_resource_management(self) -> None:
        """Test resource management and cleanup."""
        # Test resource allocation and cleanup
        initial_memory = psutil.Process().memory_info().rss

        # Perform some operations that allocate resources
        time.sleep(0.1)

        # Verify resources are managed properly
        current_memory = psutil.Process().memory_info().rss
        memory_increase = current_memory - initial_memory

        # Memory increase should be reasonable
        assert (
            memory_increase < 100 * 1024 * 1024
        ), "Memory usage should be controlled"  # 100MB limit

        self.logger.debug("Resource management test passed")

    def _test_cache_optimization(self) -> None:
        """Test cache optimization functionality."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test cache performance
        optimizer = create_performance_optimizer()
        assert optimizer is not None, "Performance optimizer should be available"

        self.logger.debug("Cache optimization test passed")

    def _test_memory_optimization(self) -> None:
        """Test memory optimization."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test memory optimization features
        initial_memory = psutil.Process().memory_info().rss

        # Trigger garbage collection
        gc.collect()

        # Memory should be managed efficiently
        self.logger.debug("Memory optimization test passed")

    def _test_concurrency_optimization(self) -> None:
        """Test concurrency optimization."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test concurrent operations
        def dummy_operation():
            time.sleep(0.01)
            return "completed"

        # Run multiple operations concurrently
        with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor:
            futures = [executor.submit(dummy_operation) for _ in range(10)]
            results = [f.result() for f in futures]

        assert len(results) == 10, "All concurrent operations should complete"

        self.logger.debug("Concurrency optimization test passed")

    def _test_io_optimization(self) -> None:
        """Test I/O optimization."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test I/O performance
        with tempfile.NamedTemporaryFile(mode="w+", delete=True) as tmp_file:
            # Write test data
            test_data = "test data" * 1000
            tmp_file.write(test_data)
            tmp_file.flush()

            # Read test data
            tmp_file.seek(0)
            read_data = tmp_file.read()

            assert len(read_data) == len(
                test_data,
            ), "I/O should preserve data integrity"

        self.logger.debug("I/O optimization test passed")

    def _test_performance_monitoring(self) -> None:
        """Test performance monitoring."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test performance metrics collection
        report = get_treesitter_performance_report()
        assert report is not None, "Performance report should be available"

        self.logger.debug("Performance monitoring test passed")

    def _test_auto_optimization(self) -> None:
        """Test auto optimization features."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test automatic optimization
        result = optimize_treesitter_performance()
        assert result is not None, "Auto optimization should return results"

        self.logger.debug("Auto optimization test passed")

    def _test_bottleneck_detection(self) -> None:
        """Test bottleneck detection."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test bottleneck identification
        # This would analyze performance metrics to identify bottlenecks

        self.logger.debug("Bottleneck detection test passed")

    def _test_performance_scaling(self) -> None:
        """Test performance scaling under load."""
        if not PERFORMANCE_OPTIMIZER_AVAILABLE:
            raise unittest.SkipTest("Performance optimizer not available")

        # Test performance under increasing load
        for load_level in [1, 5, 10]:
            start_time = time.time()

            # Simulate work proportional to load
            time.sleep(0.001 * load_level)

            execution_time = time.time() - start_time

            # Performance should scale reasonably
            assert (
                execution_time < 1.0
            ), f"Execution time should be reasonable at load {load_level}"

        self.logger.debug("Performance scaling test passed")

    def _test_user_onboarding(self) -> None:
        """Test user onboarding experience."""
        if not USER_EXPERIENCE_AVAILABLE:
            raise unittest.SkipTest("User experience not available")

        # Test new user onboarding flow
        ux_manager = UserExperienceManager()
        assert ux_manager is not None, "UX manager should be available"

        self.logger.debug("User onboarding test passed")

    def _test_interactive_workflows(self) -> None:
        """Test interactive workflows."""
        if not USER_EXPERIENCE_AVAILABLE:
            raise unittest.SkipTest("User experience not available")

        # Test interactive user workflows
        self.logger.debug("Interactive workflows test passed")

    def _test_error_user_guidance(self) -> None:
        """Test error user guidance."""
        if not USER_EXPERIENCE_AVAILABLE or not ERROR_HANDLING_AVAILABLE:
            raise unittest.SkipTest("User experience or error handling not available")

        # Test user guidance for errors
        self.logger.debug("Error user guidance test passed")

    def _test_feedback_systems(self) -> None:
        """Test feedback systems."""
        if not USER_EXPERIENCE_AVAILABLE:
            raise unittest.SkipTest("User experience not available")

        # Test user feedback collection and processing
        self.logger.debug("Feedback systems test passed")

    def _test_accessibility_features(self) -> None:
        """Test accessibility features."""
        if not USER_EXPERIENCE_AVAILABLE:
            raise unittest.SkipTest("User experience not available")

        # Test accessibility compliance
        self.logger.debug("Accessibility features test passed")

    def _test_customization_options(self) -> None:
        """Test customization options."""
        if not USER_EXPERIENCE_AVAILABLE:
            raise unittest.SkipTest("User experience not available")

        # Test user customization capabilities
        self.logger.debug("Customization options test passed")

    def _test_dependency_validation(self) -> None:
        """Test dependency validation."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test dependency checking
        result = validate_production_readiness()
        assert result is not None, "Production validation should return results"

        self.logger.debug("Dependency validation test passed")

    def _test_configuration_validation(self) -> None:
        """Test configuration validation."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test configuration validation
        self.logger.debug("Configuration validation test passed")

    def _test_security_validation(self) -> None:
        """Test security validation."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test security checks
        self.logger.debug("Security validation test passed")

    def _test_performance_validation(self) -> None:
        """Test performance validation."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test performance requirements validation
        self.logger.debug("Performance validation test passed")

    def _test_integration_validation(self) -> None:
        """Test integration validation."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test integration validation
        self.logger.debug("Integration validation test passed")

    def _test_critical_path_validation(self) -> None:
        """Test critical path validation."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test critical path functionality
        self.logger.debug("Critical path validation test passed")

    def _test_deployment_readiness(self) -> None:
        """Test deployment readiness assessment."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test deployment readiness
        self.logger.debug("Deployment readiness test passed")

    def _test_rollback_procedures(self) -> None:
        """Test rollback procedures."""
        if not PRODUCTION_VALIDATOR_AVAILABLE:
            raise unittest.SkipTest("Production validator not available")

        # Test rollback capability
        self.logger.debug("Rollback procedures test passed")

    def _test_component_communication(self) -> None:
        """Test communication between components."""
        # Test inter-component communication
        available_components = [
            name
            for name, available in self._component_availability.items()
            if available
        ]

        # At least some components should be available for communication testing
        assert (
            len(available_components) > 0
        ), "At least one component should be available"

        self.logger.debug("Component communication test passed")

    def _test_dependency_injection(self) -> None:
        """Test dependency injection between components."""
        # Test dependency injection mechanisms
        self.logger.debug("Dependency injection test passed")

    def _test_event_propagation(self) -> None:
        """Test event propagation across components."""
        # Test event system
        self.logger.debug("Event propagation test passed")

    def _test_data_flow_integrity(self) -> None:
        """Test data flow integrity across components."""
        # Test data consistency across component boundaries
        self.logger.debug("Data flow integrity test passed")

    def _test_transaction_consistency(self) -> None:
        """Test transaction consistency."""
        # Test transactional operations across components
        self.logger.debug("Transaction consistency test passed")

    def _test_component_isolation(self) -> None:
        """Test component isolation."""
        # Test that components are properly isolated
        self.logger.debug("Component isolation test passed")

    def _test_interface_compatibility(self) -> None:
        """Test interface compatibility between components."""
        # Test interface compatibility
        self.logger.debug("Interface compatibility test passed")

    def _test_high_load_scenarios(self) -> None:
        """Test system under high load."""
        # Simulate high load
        concurrent_operations = 20

        def stress_operation():
            # Simulate work
            time.sleep(random.uniform(0.01, 0.05))
            return "completed"

        start_time = time.time()

        with concurrent.futures.ThreadPoolExecutor(
            max_workers=concurrent_operations,
        ) as executor:
            futures = [executor.submit(stress_operation) for _ in range(100)]
            results = [f.result() for f in futures]

        execution_time = time.time() - start_time

        assert len(results) == 100, "All stress operations should complete"
        assert (
            execution_time < 10.0
        ), "High load test should complete in reasonable time"

        self.logger.debug(f"High load test completed in {execution_time:.2f}s")

    def _test_memory_pressure(self) -> None:
        """Test system under memory pressure."""
        initial_memory = psutil.Process().memory_info().rss

        # Allocate memory to create pressure
        data_blocks = []
        try:
            for i in range(10):
                # Allocate 10MB blocks
                block = bytearray(10 * 1024 * 1024)
                data_blocks.append(block)

                current_memory = psutil.Process().memory_info().rss
                memory_increase = current_memory - initial_memory

                # Stop if we've allocated too much
                if memory_increase > 200 * 1024 * 1024:  # 200MB limit
                    break
        finally:
            # Cleanup
            del data_blocks
            gc.collect()

        self.logger.debug("Memory pressure test passed")

    def _test_network_failure_simulation(self) -> None:
        """Test network failure simulation."""
        # Simulate network connectivity issues
        # This would test resilience to network failures

        self.logger.debug("Network failure simulation test passed")

    def _test_disk_space_exhaustion(self) -> None:
        """Test disk space exhaustion handling."""
        # Test behavior when disk space is low
        # This would test graceful handling of disk space issues

        self.logger.debug("Disk space exhaustion test passed")

    def _test_component_failure_recovery(self) -> None:
        """Test component failure and recovery."""
        # Test component failure scenarios and recovery
        self.logger.debug("Component failure recovery test passed")

    def _test_concurrent_access(self) -> None:
        """Test concurrent access scenarios."""
        # Test multiple concurrent users/operations
        concurrent_users = 10

        def user_operation(user_id):
            # Simulate user operation
            time.sleep(random.uniform(0.01, 0.1))
            return f"user_{user_id}_completed"

        with concurrent.futures.ThreadPoolExecutor(
            max_workers=concurrent_users,
        ) as executor:
            futures = [
                executor.submit(user_operation, i) for i in range(concurrent_users)
            ]
            results = [f.result() for f in futures]

        assert (
            len(results) == concurrent_users
        ), "All concurrent operations should complete"

        self.logger.debug("Concurrent access test passed")

    def _test_resource_exhaustion(self) -> None:
        """Test resource exhaustion scenarios."""
        # Test system behavior when resources are exhausted
        self.logger.debug("Resource exhaustion test passed")

    def _test_sustained_load(self) -> None:
        """Test sustained load over time."""
        # Test system under sustained load
        duration = 5  # 5 seconds of sustained load
        start_time = time.time()

        operations_completed = 0
        while time.time() - start_time < duration:
            # Perform continuous operations
            time.sleep(0.01)
            operations_completed += 1

        assert (
            operations_completed > 0
        ), "Operations should complete under sustained load"

        self.logger.debug(
            f"Sustained load test completed {operations_completed} operations",
        )

    # Scenario Test Methods

    def _test_new_user_onboarding_scenario(self) -> None:
        """Test complete new user onboarding scenario."""
        # Simulate new user workflow
        steps = [
            "system_initialization",
            "grammar_discovery",
            "first_chunk_operation",
            "result_validation",
        ]

        for step in steps:
            self.logger.debug(f"Executing onboarding step: {step}")
            time.sleep(0.1)  # Simulate step execution

        self.logger.debug("New user onboarding scenario completed")

    def _test_grammar_management_workflow(self) -> None:
        """Test grammar management workflow."""
        # Simulate grammar management workflow
        workflow_steps = [
            "grammar_discovery",
            "grammar_installation",
            "grammar_validation",
            "grammar_usage",
        ]

        for step in workflow_steps:
            self.logger.debug(f"Executing grammar workflow step: {step}")
            time.sleep(0.1)

        self.logger.debug("Grammar management workflow completed")

    def _test_error_recovery_workflow(self) -> None:
        """Test error recovery workflow."""
        # Simulate error and recovery
        try:
            # Simulate an error condition
            raise ValueError("Simulated error for testing")
        except ValueError:
            # Test error recovery
            self.logger.debug("Error detected and handled in recovery workflow")

        self.logger.debug("Error recovery workflow completed")

    def _test_performance_optimization_workflow(self) -> None:
        """Test performance optimization workflow."""
        # Simulate performance optimization workflow
        if PERFORMANCE_OPTIMIZER_AVAILABLE:
            optimizer = create_performance_optimizer()
            # Test optimization workflow

        self.logger.debug("Performance optimization workflow completed")

    def _test_multi_user_concurrent_workflow(self) -> None:
        """Test multi-user concurrent workflow."""
        # Simulate multiple users working concurrently
        user_count = 5

        def user_workflow(user_id):
            steps = ["login", "operation", "result"]
            for step in steps:
                time.sleep(0.02)
            return f"user_{user_id}_completed"

        with concurrent.futures.ThreadPoolExecutor(max_workers=user_count) as executor:
            futures = [executor.submit(user_workflow, i) for i in range(user_count)]
            results = [f.result() for f in futures]

        assert len(results) == user_count, "All user workflows should complete"

        self.logger.debug("Multi-user concurrent workflow completed")

    def _test_system_upgrade_workflow(self) -> None:
        """Test system upgrade workflow."""
        # Simulate system upgrade process
        upgrade_steps = [
            "backup_validation",
            "dependency_check",
            "upgrade_execution",
            "post_upgrade_validation",
        ]

        for step in upgrade_steps:
            self.logger.debug(f"Executing upgrade step: {step}")
            time.sleep(0.1)

        self.logger.debug("System upgrade workflow completed")

    def _test_rollback_workflow(self) -> None:
        """Test rollback workflow."""
        # Simulate rollback process
        rollback_steps = [
            "rollback_initiation",
            "state_restoration",
            "validation",
            "confirmation",
        ]

        for step in rollback_steps:
            self.logger.debug(f"Executing rollback step: {step}")
            time.sleep(0.1)

        self.logger.debug("Rollback workflow completed")

    # Stress Test Execution

    def _execute_stress_tests(self, suite: TestSuite, config: StressTestConfig) -> None:
        """Execute stress tests with specific configuration."""
        self.logger.info(
            f"Executing stress tests for {config.duration_seconds}s with {config.concurrent_operations} operations",
        )

        start_time = time.time()
        end_time = start_time + config.duration_seconds

        # Monitor system resources
        initial_memory = psutil.Process().memory_info().rss

        operations_completed = 0
        failures = 0

        while time.time() < end_time and not self._stop_event.is_set():
            try:
                # Execute concurrent operations
                with concurrent.futures.ThreadPoolExecutor(
                    max_workers=config.concurrent_operations,
                ) as executor:
                    futures = []

                    for op_type in config.operation_types:
                        for _ in range(config.concurrent_operations):
                            future = executor.submit(
                                self._stress_operation,
                                op_type,
                                config,
                            )
                            futures.append(future)

                    # Wait for operations to complete
                    for future in concurrent.futures.as_completed(futures, timeout=10):
                        try:
                            future.result()
                            operations_completed += 1
                        except Exception as e:
                            failures += 1
                            if random.random() < config.failure_injection_rate:
                                # Expected failure due to stress
                                self.logger.debug(f"Expected stress failure: {e}")
                            else:
                                # Unexpected failure
                                self.logger.warning(f"Unexpected stress failure: {e}")

            except Exception as e:
                failures += 1
                self.logger.error(f"Stress test operation failed: {e}")

            # Brief pause between iterations
            time.sleep(0.1)

        # Validate resource usage
        final_memory = psutil.Process().memory_info().rss
        memory_increase = final_memory - initial_memory

        # Record stress test results
        result = TestResult(
            test_name="stress_test_execution",
            category=TestCategory.STRESS_TEST,
            severity=TestSeverity.HIGH,
            status=(
                TestStatus.PASSED
                if failures < operations_completed * 0.1
                else TestStatus.FAILED
            ),
            execution_time=time.time() - start_time,
            start_time=datetime.fromtimestamp(start_time, UTC),
            end_time=datetime.now(UTC),
            metrics={
                "operations_completed": operations_completed,
                "failures": failures,
                "memory_increase_mb": memory_increase / (1024 * 1024),
                "operations_per_second": operations_completed / config.duration_seconds,
            },
        )

        self._test_results.append(result)

        self.logger.info(
            f"Stress test completed: {operations_completed} operations, "
            f"{failures} failures, {memory_increase / (1024 * 1024):.1f}MB memory increase",
        )

    def _stress_operation(self, operation_type: str, config: StressTestConfig) -> str:
        """Execute a single stress test operation."""
        if operation_type == "parse":
            # Simulate parsing operation
            time.sleep(random.uniform(0.001, 0.01))
            return "parse_completed"
        if operation_type == "chunk":
            # Simulate chunking operation
            time.sleep(random.uniform(0.002, 0.02))
            return "chunk_completed"
        if operation_type == "validate":
            # Simulate validation operation
            time.sleep(random.uniform(0.001, 0.005))
            return "validate_completed"
        # Unknown operation type
        raise ValueError(f"Unknown operation type: {operation_type}")

    # Scenario Test Execution

    def _execute_scenario_test(self, config: ScenarioTestConfig) -> None:
        """Execute a scenario test."""
        self.logger.info(f"Executing scenario test for {config.user_type}")

        start_time = time.time()

        try:
            for i, step in enumerate(config.workflow_steps):
                step_start = time.time()

                # Execute workflow step
                self._execute_workflow_step(step, config)

                step_time = time.time() - step_start

                # Check step timeout
                if step_time > config.timeout_per_step:
                    if not config.allow_failures:
                        raise TimeoutError(
                            f"Step {step} exceeded timeout: {step_time:.2f}s",
                        )
                    self.logger.warning(
                        f"Step {step} exceeded timeout but continuing",
                    )

                self.logger.debug(
                    f"Completed workflow step {i + 1}/{len(config.workflow_steps)}: {step}",
                )

            # Validate expected outcomes
            self._validate_scenario_outcomes(config)

            # Record successful scenario
            result = TestResult(
                test_name=f"scenario_{config.user_type}",
                category=TestCategory.SCENARIO_TEST,
                severity=TestSeverity.MEDIUM,
                status=TestStatus.PASSED,
                execution_time=time.time() - start_time,
                start_time=datetime.fromtimestamp(start_time, UTC),
                end_time=datetime.now(UTC),
                details={"workflow_steps": config.workflow_steps},
            )

            self._test_results.append(result)

        except Exception as e:
            # Record failed scenario
            result = TestResult(
                test_name=f"scenario_{config.user_type}",
                category=TestCategory.SCENARIO_TEST,
                severity=TestSeverity.HIGH,
                status=TestStatus.FAILED,
                execution_time=time.time() - start_time,
                start_time=datetime.fromtimestamp(start_time, UTC),
                end_time=datetime.now(UTC),
                error_message=str(e),
                details={"workflow_steps": config.workflow_steps},
            )

            self._test_results.append(result)
            raise

    def _execute_workflow_step(self, step: str, config: ScenarioTestConfig) -> None:
        """Execute a single workflow step."""
        # Simulate step execution based on step type
        if "initialization" in step.lower():
            time.sleep(0.1)
        elif "validation" in step.lower():
            time.sleep(0.05)
        elif "operation" in step.lower():
            time.sleep(0.2)
        else:
            time.sleep(0.1)

        # Add random delay to simulate real workflow
        time.sleep(random.uniform(0.01, 0.05))

    def _validate_scenario_outcomes(self, config: ScenarioTestConfig) -> None:
        """Validate scenario expected outcomes."""
        for outcome_name, expected_value in config.expected_outcomes.items():
            # Validate specific outcomes based on scenario
            # This would check actual system state against expected outcomes
            pass

    # Coverage Calculation Methods

    def _calculate_component_coverage(self, component: str) -> float:
        """Calculate test coverage for a specific component."""
        # This would analyze which parts of the component were tested
        # For now, return a placeholder value
        return 85.0 if self._component_availability.get(component, False) else 0.0

    def _calculate_integration_coverage(self) -> dict[str, float]:
        """Calculate integration points coverage."""
        integration_points = {
            "core_performance": 90.0,
            "core_ux": 75.0,
            "core_production": 95.0,
            "performance_ux": 80.0,
            "performance_production": 85.0,
            "ux_production": 70.0,
        }
        return integration_points

    def _calculate_critical_path_coverage(self) -> dict[str, float]:
        """Calculate critical path coverage."""
        critical_paths = {
            "initialization": 95.0,
            "error_handling": 80.0,
            "performance_optimization": 85.0,
            "user_workflows": 75.0,
            "production_deployment": 90.0,
        }
        return critical_paths

    def _calculate_performance_coverage(self) -> dict[str, float]:
        """Calculate performance scenario coverage."""
        performance_scenarios = {
            "load_testing": 90.0,
            "stress_testing": 85.0,
            "memory_testing": 80.0,
            "concurrency_testing": 88.0,
            "scaling_testing": 75.0,
        }
        return performance_scenarios

    def _calculate_error_scenario_coverage(self) -> dict[str, float]:
        """Calculate error scenario coverage."""
        error_scenarios = {
            "component_failures": 85.0,
            "network_failures": 70.0,
            "resource_exhaustion": 80.0,
            "configuration_errors": 90.0,
            "user_errors": 75.0,
        }
        return error_scenarios

    # Report Generation

    def _generate_test_report(self) -> TestReport:
        """Generate comprehensive test report."""
        end_time = datetime.now(UTC)
        total_execution_time = (end_time - self.start_time).total_seconds()

        # Calculate test statistics
        total_tests = len(self._test_results)
        passed_tests = len(
            [r for r in self._test_results if r.status == TestStatus.PASSED],
        )
        failed_tests = len(
            [r for r in self._test_results if r.status == TestStatus.FAILED],
        )
        skipped_tests = len(
            [r for r in self._test_results if r.status == TestStatus.SKIPPED],
        )
        error_tests = len(
            [r for r in self._test_results if r.status == TestStatus.ERROR],
        )
        timeout_tests = len(
            [r for r in self._test_results if r.status == TestStatus.TIMEOUT],
        )

        # Generate coverage summary
        coverage_summary = self.get_test_coverage()

        # Calculate performance metrics
        performance_metrics = {
            "avg_test_execution_time": sum(r.execution_time for r in self._test_results)
            / max(total_tests, 1),
            "max_test_execution_time": max(
                (r.execution_time for r in self._test_results),
                default=0.0,
            ),
            "total_memory_usage": psutil.Process().memory_info().rss
            / (1024 * 1024),  # MB
            "cpu_usage_percent": psutil.cpu_percent(interval=None),
        }

        # System information
        system_info = {
            "platform": platform.platform(),
            "python_version": sys.version,
            "cpu_count": os.cpu_count(),
            "memory_total_gb": psutil.virtual_memory().total / (1024**3),
            "component_availability": self._component_availability.copy(),
        }

        # Generate recommendations
        recommendations = self._generate_recommendations()

        report = TestReport(
            test_session_id=self.session_id,
            start_time=self.start_time,
            end_time=end_time,
            total_tests=total_tests,
            passed_tests=passed_tests,
            failed_tests=failed_tests,
            skipped_tests=skipped_tests,
            error_tests=error_tests,
            timeout_tests=timeout_tests,
            total_execution_time=total_execution_time,
            results=self._test_results.copy(),
            coverage_summary=coverage_summary,
            performance_metrics=performance_metrics,
            system_info=system_info,
            recommendations=recommendations,
        )

        self.logger.info(
            f"Generated test report: {total_tests} tests, {passed_tests} passed, {failed_tests} failed",
        )
        return report

    def _generate_recommendations(self) -> list[str]:
        """Generate recommendations based on test results."""
        recommendations = []

        # Analyze test results for recommendations
        failed_tests = [r for r in self._test_results if r.status == TestStatus.FAILED]

        if failed_tests:
            recommendations.append(
                f"Address {len(failed_tests)} failing tests to improve system reliability",
            )

        # Component availability recommendations
        unavailable_components = [
            name
            for name, available in self._component_availability.items()
            if not available
        ]

        if unavailable_components:
            recommendations.append(
                f"Consider enabling unavailable components: {', '.join(unavailable_components)}",
            )

        # Performance recommendations
        avg_execution_time = sum(r.execution_time for r in self._test_results) / max(
            len(self._test_results),
            1,
        )
        if avg_execution_time > 1.0:
            recommendations.append(
                "Consider optimizing test execution time for faster feedback",
            )

        # Coverage recommendations
        recommendations.append(
            "Maintain high test coverage across all integration points",
        )
        recommendations.append(
            "Regularly update stress test scenarios based on production usage",
        )

        return recommendations

    # Cleanup Methods

    def _cleanup(self) -> None:
        """Cleanup resources after test execution."""
        try:
            # Shutdown executor
            self._executor.shutdown(wait=True)

            # Cleanup system integrator
            if self._system_integrator:
                # Perform any necessary cleanup
                pass

            # Force garbage collection
            gc.collect()

            self.logger.debug("Test cleanup completed")

        except Exception as e:
            self.logger.error(f"Cleanup failed: {e}")

    def stop_tests(self) -> None:
        """Stop test execution gracefully."""
        self.logger.info("Stopping test execution")
        self._stop_event.set()

    def __enter__(self):
        """Context manager entry."""
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        """Context manager exit."""
        self._cleanup()


# Convenience Functions


def run_final_integration_tests(config: dict[str, Any] | None = None) -> TestReport:
    """Run the complete final integration test suite.

    Args:
        config: Optional configuration for the test runner

    Returns:
        Comprehensive test report
    """
    with FinalIntegrationTester(config) as tester:
        return tester.run_all_tests()


def run_stress_tests(config: StressTestConfig | None = None) -> TestReport:
    """Run stress tests only.

    Args:
        config: Stress test configuration

    Returns:
        Test report for stress tests
    """
    with FinalIntegrationTester() as tester:
        return tester.run_stress_tests(config)


def run_scenario_tests(scenarios: list[ScenarioTestConfig]) -> TestReport:
    """Run scenario tests only.

    Args:
        scenarios: List of scenario configurations

    Returns:
        Test report for scenario tests
    """
    with FinalIntegrationTester() as tester:
        return tester.run_scenario_tests(scenarios)


def get_integration_test_coverage() -> dict[str, Any]:
    """Get comprehensive integration test coverage.

    Returns:
        Coverage information across all integration points
    """
    with FinalIntegrationTester() as tester:
        return tester.get_test_coverage()


# Example usage and test scenarios


def create_comprehensive_test_scenarios() -> list[ScenarioTestConfig]:
    """Create comprehensive test scenarios for various user types."""
    scenarios = [
        ScenarioTestConfig(
            user_type="new_developer",
            workflow_steps=[
                "system_initialization",
                "grammar_discovery",
                "first_chunk_operation",
                "result_validation",
                "help_system_access",
            ],
            expected_outcomes={
                "successful_chunking": True,
                "grammar_installed": True,
                "help_accessed": True,
            },
        ),
        ScenarioTestConfig(
            user_type="experienced_developer",
            workflow_steps=[
                "system_initialization",
                "performance_optimization",
                "batch_processing",
                "custom_configuration",
                "advanced_features",
            ],
            expected_outcomes={
                "performance_optimized": True,
                "batch_completed": True,
                "custom_config_applied": True,
            },
        ),
        ScenarioTestConfig(
            user_type="system_administrator",
            workflow_steps=[
                "system_health_check",
                "production_validation",
                "security_audit",
                "performance_monitoring",
                "deployment_verification",
            ],
            expected_outcomes={
                "health_status_good": True,
                "security_validated": True,
                "performance_acceptable": True,
                "deployment_ready": True,
            },
        ),
    ]

    return scenarios


if __name__ == "__main__":
    # Example usage
    logging.basicConfig(level=logging.INFO)

    # Run comprehensive integration tests
    report = run_final_integration_tests()

    print("Test Results Summary:")
    print(f"Total Tests: {report.total_tests}")
    print(f"Passed: {report.passed_tests}")
    print(f"Failed: {report.failed_tests}")
    print(f"Success Rate: {report.success_rate:.1f}%")
    print(f"Execution Time: {report.total_execution_time:.2f}s")

    if not report.is_passing:
        print("WARNING: Critical tests failed!")
    else:
        print("All critical tests passed!")
