torsh-backend 0.1.2

//! Optimization Strategies Module
//!
//! This module provides comprehensive strategy management capabilities for CUDA memory optimization,
//! including strategy registry, selection algorithms, parameter management, and adaptive strategy evolution.

use std::collections::HashMap;
use std::sync::{Arc, RwLock};
use std::time::{Duration, Instant};

// ============================================================================
// Stub implementations for missing types
// ============================================================================

#[derive(Debug, Clone, Default)]
pub struct OptimizationObjective {}
#[derive(Debug, Clone, Default)]
pub struct SelectionAlgorithm {}
#[derive(Debug, Clone, Default)]
pub struct ContextAnalyzer {}
#[derive(Debug, Clone, Default)]
pub struct StrategyPerformancePredictor {}
#[derive(Debug, Clone, Default)]
pub struct MultiCriteriaDecisionMaking {}
#[derive(Debug, Clone, Default)]
pub struct StrategyRLAgent {}
#[derive(Debug, Clone, Default)]
pub struct BayesianStrategyOptimizer {}
#[derive(Debug, Clone, Default)]
pub struct EnsembleStrategySelector {}
#[derive(Debug, Clone, Default)]
pub struct ConstraintBasedSelector {}
#[derive(Debug, Clone, Default)]
pub struct HistoricalPerformanceAnalyzer {}
#[derive(Debug, Clone, Default)]
pub struct RealTimeAdaptationEngine {}
#[derive(Debug, Clone, Default)]
pub struct PerformanceHistoryDatabase {}
#[derive(Debug, Clone, Default)]
pub struct RealTimePerformanceMonitor {}
#[derive(Debug, Clone, Default)]
pub struct PerformanceComparisonEngine {}
#[derive(Debug, Clone, Default)]
pub struct StatisticalPerformanceAnalyzer {}
#[derive(Debug, Clone, Default)]
pub struct PerformanceTrendAnalyzer {}
#[derive(Debug, Clone, Default)]
pub struct PerformanceAnomalyDetector {}
#[derive(Debug, Clone, Default)]
pub struct PerformanceRegressionDetector {}
#[derive(Debug, Clone, Default)]
pub struct StrategyBenchmarkingFramework {}
#[derive(Debug, Clone, Default)]
pub struct PerformanceReportingSystem {}
#[derive(Debug, Clone, Default)]
pub struct StrategyEvolutionEngine {}
#[derive(Debug, Clone, Default)]
pub struct StrategyGeneticAlgorithm {}
#[derive(Debug, Clone, Default)]
pub struct ParameterAutoTuningSystem {}
#[derive(Debug, Clone, Default)]
pub struct StrategyMutationSystem {}
#[derive(Debug, Clone, Default)]
pub struct StrategyCrossoverSystem {}
#[derive(Debug, Clone, Default)]
pub struct StrategyFitnessEvaluator {}
#[derive(Debug, Clone, Default)]
pub struct StrategyPopulationManager {}
#[derive(Debug, Clone, Default)]
pub struct StrategyDiversityMaintainer {}
#[derive(Debug, Clone, Default)]
pub struct EliteStrategyPreservation {}
#[derive(Debug, Clone, Default)]
pub struct OnlineStrategyLearning {}

// ============================================================================

/// Comprehensive optimization strategy registry and management system
#[derive(Debug)]
pub struct OptimizationStrategyManager {
    /// Registry of available strategies
    strategy_registry: StrategyRegistry,
    /// Strategy selection engine
    strategy_selector: StrategySelector,
    /// Performance tracker for strategies
    performance_tracker: StrategyPerformanceTracker,
    /// Adaptive strategy evolution system
    adaptive_system: AdaptiveStrategySystem,
    /// Strategy configuration manager
    config_manager: StrategyConfigManager,
    /// Strategy validation framework
    validation_framework: StrategyValidationFramework,
    /// Real-time strategy monitor
    real_time_monitor: RealTimeStrategyMonitor,
    /// Strategy combination engine
    combination_engine: StrategyCombinationEngine,
    /// Meta-learning system for strategy improvement
    meta_learning: StrategyMetaLearningSystem,
    /// Strategy recommendation engine
    recommendation_engine: StrategyRecommendationEngine,
    /// A/B testing framework for strategies
    ab_testing_framework: StrategyABTestingFramework,
    /// Strategy lifecycle manager
    lifecycle_manager: StrategyLifecycleManager,
}

/// Registry for managing optimization strategies
#[derive(Debug)]
pub struct StrategyRegistry {
    /// Registered strategies by ID
    strategies: Arc<RwLock<HashMap<String, OptimizationStrategy>>>,
    /// Strategy categories
    categories: HashMap<StrategyCategory, Vec<String>>,
    /// Strategy dependencies
    dependencies: HashMap<String, Vec<String>>,
    /// Strategy compatibility matrix
    compatibility_matrix: CompatibilityMatrix,
    /// Strategy metadata index
    metadata_index: MetadataIndex,
    /// Version control for strategies
    version_control: StrategyVersionControl,
    /// Strategy templates
    templates: HashMap<String, StrategyTemplate>,
    /// Custom strategy builder
    strategy_builder: CustomStrategyBuilder,
    /// Import/export manager
    import_export_manager: StrategyImportExportManager,
}

/// Comprehensive optimization strategy definition
#[derive(Debug, Clone)]
pub struct OptimizationStrategy {
    /// Unique strategy identifier
    pub id: String,
    /// Human-readable strategy name
    pub name: String,
    /// Strategy description and purpose
    pub description: String,
    /// Strategy type classification
    pub strategy_type: StrategyType,
    /// Strategy category
    pub category: StrategyCategory,
    /// Optimization objectives
    pub objectives: Vec<OptimizationObjective>,
    /// Strategy parameters
    pub parameters: HashMap<String, OptimizationParameter>,
    /// Applicability conditions
    pub conditions: Vec<ApplicabilityCondition>,
    /// Expected benefits
    pub expected_benefits: ExpectedBenefits,
    /// Implementation complexity
    pub complexity: OptimizationComplexity,
    /// Risk assessment
    pub risk_assessment: StrategyRiskAssessment,
    /// Historical success rate
    pub success_rate: f32,
    /// Performance history
    pub performance_history: Vec<StrategyPerformanceRecord>,
    /// Strategy version information
    pub version: StrategyVersion,
    /// Strategy author and maintainer info
    pub author_info: AuthorInfo,
    /// Strategy dependencies
    pub dependencies: Vec<StrategyDependency>,
    /// Execution configuration
    pub execution_config: ExecutionConfiguration,
    /// Resource requirements
    pub resource_requirements: ResourceRequirements,
    /// Quality gates
    pub quality_gates: Vec<QualityGate>,
    /// Strategy metadata
    pub metadata: StrategyMetadata,
    /// Performance benchmarks
    pub benchmarks: PerformanceBenchmarks,
    /// Testing configuration
    pub testing_config: TestingConfiguration,
}

/// Types of optimization strategies
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum StrategyType {
    /// Memory allocation optimization
    AllocationOptimization,
    /// Memory pool optimization
    PoolOptimization,
    /// Transfer optimization between host and device
    TransferOptimization,
    /// Fragmentation reduction strategies
    FragmentationReduction,
    /// Cache optimization
    CacheOptimization,
    /// Bandwidth optimization
    BandwidthOptimization,
    /// Latency optimization
    LatencyOptimization,
    /// Power/energy optimization
    PowerOptimization,
    /// Multi-GPU memory management
    MultiGPUOptimization,
    /// Dynamic memory management
    DynamicMemoryManagement,
    /// Memory-compute co-optimization
    MemoryComputeCoOptimization,
    /// Predictive memory management
    PredictiveMemoryManagement,
    /// Adaptive memory strategies
    AdaptiveMemoryStrategies,
    /// Machine learning-based optimization
    MLBasedOptimization,
    /// Hybrid optimization strategies
    HybridOptimization,
    /// Custom user-defined strategy
    CustomStrategy,
}

/// Strategy categories for organization
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum StrategyCategory {
    /// Performance-focused strategies
    Performance,
    /// Memory efficiency strategies
    MemoryEfficiency,
    /// Power efficiency strategies
    PowerEfficiency,
    /// Reliability and stability strategies
    Reliability,
    /// Security-focused strategies
    Security,
    /// Cost optimization strategies
    CostOptimization,
    /// Real-time strategies
    RealTime,
    /// Batch processing strategies
    BatchProcessing,
    /// Interactive/responsive strategies
    Interactive,
    /// Research and experimental strategies
    Experimental,
}

/// Strategy selection engine with intelligent algorithms
#[derive(Debug)]
pub struct StrategySelector {
    /// Selection algorithms available
    selection_algorithms: HashMap<String, SelectionAlgorithm>,
    /// Current context analyzer
    context_analyzer: ContextAnalyzer,
    /// Performance predictor for strategies
    performance_predictor: StrategyPerformancePredictor,
    /// Multi-criteria decision making system
    mcdm_system: MultiCriteriaDecisionMaking,
    /// Reinforcement learning agent
    rl_agent: StrategyRLAgent,
    /// Bayesian optimization system
    bayesian_optimizer: BayesianStrategyOptimizer,
    /// Ensemble selection methods
    ensemble_selector: EnsembleStrategySelector,
    /// Constraint-aware selector
    constraint_solver: ConstraintBasedSelector,
    /// Historical performance analyzer
    historical_analyzer: HistoricalPerformanceAnalyzer,
    /// Real-time adaptation engine
    adaptation_engine: RealTimeAdaptationEngine,
}

/// Strategy performance tracking system
#[derive(Debug)]
pub struct StrategyPerformanceTracker {
    /// Performance metrics by strategy
    performance_metrics: HashMap<String, PerformanceMetrics>,
    /// Performance history database
    performance_history: PerformanceHistoryDatabase,
    /// Real-time performance monitor
    real_time_monitor: RealTimePerformanceMonitor,
    /// Performance comparison engine
    comparison_engine: PerformanceComparisonEngine,
    /// Statistical analysis framework
    statistical_analyzer: StatisticalPerformanceAnalyzer,
    /// Trend analysis system
    trend_analyzer: PerformanceTrendAnalyzer,
    /// Anomaly detection for performance
    anomaly_detector: PerformanceAnomalyDetector,
    /// Performance regression detector
    regression_detector: PerformanceRegressionDetector,
    /// Benchmarking framework
    benchmarking_framework: StrategyBenchmarkingFramework,
    /// Performance reporting system
    reporting_system: PerformanceReportingSystem,
}

/// Adaptive strategy evolution system
#[derive(Debug)]
pub struct AdaptiveStrategySystem {
    /// Strategy evolution engine
    evolution_engine: StrategyEvolutionEngine,
    /// Genetic algorithm for strategy improvement
    genetic_algorithm: StrategyGeneticAlgorithm,
    /// Parameter auto-tuning system
    auto_tuning_system: ParameterAutoTuningSystem,
    /// Strategy mutation system
    mutation_system: StrategyMutationSystem,
    /// Crossover algorithm for strategy combination
    crossover_system: StrategyCrossoverSystem,
    /// Fitness evaluation system
    fitness_evaluator: StrategyFitnessEvaluator,
    /// Population management
    population_manager: StrategyPopulationManager,
    /// Diversity maintenance system
    diversity_maintainer: StrategyDiversityMaintainer,
    /// Elite strategy preservation
    elite_preservation: EliteStrategyPreservation,
    /// Online learning integration
    online_learning: OnlineStrategyLearning,
}

/// Optimization parameter definition
#[derive(Debug, Clone)]
pub struct OptimizationParameter {
    /// Parameter name
    pub name: String,
    /// Parameter description
    pub description: String,
    /// Parameter value
    pub value: ParameterValue,
    /// Parameter bounds and constraints
    pub bounds: Option<ParameterBounds>,
    /// Parameter sensitivity analysis
    pub sensitivity: f32,
    /// Parameter tuning history
    pub tuning_history: Vec<ParameterTuning>,
    /// Parameter dependencies
    pub dependencies: Vec<ParameterDependency>,
    /// Parameter importance score
    pub importance: f32,
    /// Parameter validation rules
    pub validation_rules: Vec<ParameterValidationRule>,
    /// Parameter optimization history
    pub optimization_history: Vec<ParameterOptimizationRecord>,
    /// Parameter metadata
    pub metadata: ParameterMetadata,
    /// Auto-tuning configuration
    pub auto_tuning_config: AutoTuningConfig,
}

/// Parameter value types with comprehensive support
#[derive(Debug, Clone, PartialEq)]
pub enum ParameterValue {
    /// Integer parameter
    Integer(i64),
    /// Floating point parameter
    Float(f64),
    /// Boolean parameter
    Boolean(bool),
    /// String parameter
    String(String),
    /// Array of parameters
    Array(Vec<ParameterValue>),
    /// Nested parameter object
    Object(HashMap<String, ParameterValue>),
    /// Range parameter
    Range { min: f64, max: f64, step: f64 },
    /// Enumerated choices
    Enum {
        choices: Vec<String>,
        selected: String,
    },
    /// Complex parameter with custom structure
    Complex(Box<dyn ComplexParameter>),
    /// Dynamic parameter that changes based on context
    Dynamic(Box<dyn DynamicParameter>),
    /// Function parameter
    Function(ParameterFunction),
    /// Reference to another parameter
    Reference(String),
}

/// Parameter bounds and constraints
#[derive(Debug, Clone)]
pub struct ParameterBounds {
    /// Minimum allowed value
    pub min: ParameterValue,
    /// Maximum allowed value
    pub max: ParameterValue,
    /// Suggested default value
    pub suggested: Option<ParameterValue>,
    /// Step size for discrete parameters
    pub step: Option<ParameterValue>,
    /// Constraint expressions
    pub constraints: Vec<ParameterConstraint>,
    /// Validation functions
    pub validators: Vec<ParameterValidator>,
}

/// Parameter tuning record
#[derive(Debug, Clone)]
pub struct ParameterTuning {
    /// Tuning timestamp
    pub timestamp: Instant,
    /// Parameter value at tuning
    pub value: ParameterValue,
    /// Performance result
    pub performance: f32,
    /// Tuning algorithm used
    pub algorithm: String,
    /// Tuning context
    pub context: TuningContext,
    /// Confidence in the result
    pub confidence: f32,
    /// Resource cost of tuning
    pub cost: ResourceCost,
    /// Tuning metadata
    pub metadata: TuningMetadata,
}

/// Expected benefits from strategy application
#[derive(Debug, Clone)]
pub struct ExpectedBenefits {
    /// Performance improvement percentage
    pub performance_improvement: f32,
    /// Memory savings percentage
    pub memory_savings: f32,
    /// Latency reduction percentage
    pub latency_reduction: f32,
    /// Energy savings percentage
    pub energy_savings: f32,
    /// Cost savings percentage
    pub cost_savings: f32,
    /// Reliability improvement
    pub reliability_improvement: f32,
    /// Confidence in benefits estimation
    pub confidence: f32,
    /// Time to realize benefits
    pub realization_time: Duration,
    /// Benefits sustainability duration
    pub sustainability_duration: Duration,
    /// Risk-adjusted benefits
    pub risk_adjusted_benefits: RiskAdjustedBenefits,
    /// Benefits breakdown by category
    pub category_breakdown: HashMap<BenefitCategory, f32>,
    /// Quantitative benefits metrics
    pub quantitative_metrics: QuantitativeBenefits,
}

/// Optimization complexity levels
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
pub enum OptimizationComplexity {
    /// Trivial implementation
    Trivial,
    /// Simple implementation
    Simple,
    /// Moderate complexity
    Moderate,
    /// Complex implementation
    Complex,
    /// Very complex implementation
    VeryComplex,
    /// Extremely complex implementation
    ExtremelyComplex,
    /// Research-level complexity
    ResearchLevel,
    /// Cutting-edge complexity
    CuttingEdge,
}

/// Strategy risk assessment
#[derive(Debug, Clone)]
pub struct StrategyRiskAssessment {
    /// Overall risk level
    pub overall_risk: RiskLevel,
    /// Performance risk
    pub performance_risk: RiskLevel,
    /// Stability risk
    pub stability_risk: RiskLevel,
    /// Resource consumption risk
    pub resource_risk: RiskLevel,
    /// Implementation risk
    pub implementation_risk: RiskLevel,
    /// Maintenance risk
    pub maintenance_risk: RiskLevel,
    /// Risk factors
    pub risk_factors: Vec<RiskFactor>,
    /// Risk mitigation strategies
    pub mitigation_strategies: Vec<RiskMitigation>,
    /// Risk assessment confidence
    pub assessment_confidence: f32,
    /// Risk timeline
    pub risk_timeline: RiskTimeline,
}

/// Strategy performance record
#[derive(Debug, Clone)]
pub struct StrategyPerformanceRecord {
    /// Execution timestamp
    pub timestamp: Instant,
    /// Performance metrics
    pub metrics: HashMap<String, f64>,
    /// Execution context
    pub context: ExecutionContext,
    /// Resource utilization
    pub resource_utilization: ResourceUtilization,
    /// Quality of service metrics
    pub qos_metrics: QoSMetrics,
    /// Error and exception information
    pub error_info: Option<ErrorInfo>,
    /// Performance classification
    pub classification: PerformanceClassification,
    /// Comparison with baseline
    pub baseline_comparison: BaselineComparison,
    /// Environmental conditions
    pub environmental_conditions: EnvironmentalConditions,
    /// User feedback
    pub user_feedback: Option<UserFeedback>,
}

/// Applicability conditions for strategies
#[derive(Debug, Clone)]
pub enum ApplicabilityCondition {
    /// Memory usage threshold condition
    MemoryUsage {
        threshold: f32,
        operator: ComparisonOperator,
        memory_type: MemoryType,
    },
    /// Performance threshold condition
    Performance {
        metric: String,
        threshold: f64,
        operator: ComparisonOperator,
        window: Duration,
    },
    /// System load condition
    SystemLoad {
        threshold: f32,
        operator: ComparisonOperator,
        load_type: LoadType,
    },
    /// Time-based condition
    TimeCondition {
        start_time: Duration,
        end_time: Duration,
        timezone: String,
    },
    /// Device capability requirement
    DeviceCapability {
        capability: String,
        required: bool,
        version: Option<String>,
    },
    /// Workload characteristic condition
    WorkloadCharacteristic {
        characteristic: String,
        value: String,
        tolerance: f32,
    },
    /// Context-based condition
    ContextCondition {
        context_key: String,
        expected_value: ContextValue,
        comparison: ContextComparison,
    },
    /// Multi-condition logical combination
    LogicalCombination {
        operator: LogicalOperator,
        conditions: Vec<ApplicabilityCondition>,
    },
    /// Dynamic condition based on runtime analysis
    DynamicCondition {
        analyzer: String,
        parameters: HashMap<String, String>,
    },
    /// Machine learning-based condition
    MLBasedCondition {
        model_id: String,
        confidence_threshold: f32,
        input_features: Vec<String>,
    },
}

/// Adaptation strategies for dynamic optimization
#[derive(Debug, Clone)]
pub struct AdaptationStrategy {
    /// Strategy name
    pub name: String,
    /// Adaptation triggers
    pub triggers: Vec<AdaptationTrigger>,
    /// Adaptation actions
    pub actions: Vec<AdaptationAction>,
    /// Strategy effectiveness tracking
    pub effectiveness: f32,
    /// Usage frequency
    pub usage_frequency: f32,
    /// Adaptation learning rate
    pub learning_rate: f32,
    /// Historical adaptation results
    pub adaptation_history: Vec<AdaptationRecord>,
    /// Trigger sensitivity configuration
    pub trigger_sensitivity: HashMap<String, f32>,
    /// Action priority ranking
    pub action_priorities: HashMap<String, f32>,
    /// Adaptation performance metrics
    pub performance_metrics: AdaptationPerformanceMetrics,
    /// Rollback configuration
    pub rollback_config: RollbackConfiguration,
}

/// Adaptation trigger conditions
#[derive(Debug, Clone)]
pub enum AdaptationTrigger {
    /// Performance degradation detected
    PerformanceDegradation {
        threshold: f32,
        duration: Duration,
        metrics: Vec<String>,
    },
    /// Resource pressure condition
    ResourcePressure {
        resource: String,
        threshold: f32,
        prediction_horizon: Duration,
    },
    /// Workload change detection
    WorkloadChange {
        change_magnitude: f32,
        change_type: WorkloadChangeType,
        confidence: f32,
    },
    /// Pattern shift detection
    PatternShift {
        pattern: String,
        confidence: f32,
        shift_magnitude: f32,
    },
    /// Error rate increase
    ErrorRateIncrease {
        threshold: f32,
        error_types: Vec<String>,
        time_window: Duration,
    },
    /// User feedback trigger
    UserFeedback {
        feedback_type: String,
        severity: FeedbackSeverity,
        frequency: f32,
    },
    /// Environmental change
    EnvironmentalChange {
        change_type: EnvironmentalChangeType,
        magnitude: f32,
        impact_assessment: f32,
    },
    /// Predictive trigger based on forecasting
    PredictiveTrigger {
        prediction_model: String,
        horizon: Duration,
        confidence_threshold: f32,
    },
    /// Anomaly detection trigger
    AnomalyDetected {
        anomaly_type: String,
        severity: f32,
        persistence: Duration,
    },
    /// Business metric degradation
    BusinessMetricDegradation {
        metric: String,
        threshold: f32,
        impact_level: BusinessImpactLevel,
    },
}

/// Exploration strategies for reinforcement learning
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum ExplorationStrategy {
    /// Epsilon-greedy exploration
    EpsilonGreedy,
    /// Boltzmann exploration
    Boltzmann,
    /// Upper Confidence Bound
    UCB1,
    /// Thompson sampling
    ThompsonSampling,
    /// Adaptive exploration
    Adaptive,
    /// Information gain-based exploration
    InformationGain,
    /// Curiosity-driven exploration
    CuriosityDriven,
    /// Multi-armed bandit exploration
    MultiArmedBandit,
    /// Gaussian process exploration
    GaussianProcess,
    /// Evolutionary exploration
    Evolutionary,
}

impl OptimizationStrategyManager {
    /// Create a new strategy manager
    pub fn new(config: StrategyManagerConfig) -> Self {
        Self {
            strategy_registry: StrategyRegistry::new(config.registry_config.clone()),
            strategy_selector: StrategySelector::new(config.selector_config.clone()),
            performance_tracker: StrategyPerformanceTracker::new(config.tracker_config.clone()),
            adaptive_system: AdaptiveStrategySystem::new(config.adaptive_config.clone()),
            config_manager: StrategyConfigManager::new(config.config_manager_config.clone()),
            validation_framework: StrategyValidationFramework::new(
                config.validation_config.clone(),
            ),
            real_time_monitor: RealTimeStrategyMonitor::new(config.monitor_config.clone()),
            combination_engine: StrategyCombinationEngine::new(config.combination_config.clone()),
            meta_learning: StrategyMetaLearningSystem::new(config.meta_learning_config.clone()),
            recommendation_engine: StrategyRecommendationEngine::new(
                config.recommendation_config.clone(),
            ),
            ab_testing_framework: StrategyABTestingFramework::new(config.ab_testing_config.clone()),
            lifecycle_manager: StrategyLifecycleManager::new(config.lifecycle_config.clone()),
        }
    }

    /// Register a new optimization strategy
    pub fn register_strategy(
        &mut self,
        strategy: OptimizationStrategy,
    ) -> Result<(), StrategyError> {
        // Validate strategy
        self.validation_framework.validate_strategy(&strategy)?;

        // Register in registry
        self.strategy_registry.register(strategy.clone())?;

        // Initialize performance tracking
        self.performance_tracker.initialize_tracking(&strategy.id)?;

        // Add to lifecycle management
        self.lifecycle_manager.add_strategy(strategy)?;

        Ok(())
    }

    /// Select optimal strategy for given context
    pub fn select_strategy(
        &mut self,
        context: &OptimizationContext,
    ) -> Result<OptimizationStrategy, StrategyError> {
        // Analyze current context
        let analyzed_context = self.strategy_selector.analyze_context(context)?;

        // Get candidate strategies
        let candidates = self
            .strategy_registry
            .get_applicable_strategies(&analyzed_context)?;

        // Select best strategy
        let selected_strategy = self
            .strategy_selector
            .select_best_strategy(&candidates, &analyzed_context)?;

        // Record selection decision
        self.performance_tracker
            .record_selection_decision(&selected_strategy.id, &analyzed_context)?;

        Ok(selected_strategy)
    }

    /// Execute strategy with given parameters
    pub fn execute_strategy(
        &mut self,
        strategy_id: &str,
        parameters: HashMap<String, ParameterValue>,
        context: &OptimizationContext,
    ) -> Result<StrategyExecutionResult, StrategyError> {
        // Get strategy
        let strategy = self.strategy_registry.get_strategy(strategy_id)?;

        // Validate parameters
        self.validate_parameters(&strategy, &parameters)?;

        // Create execution session
        let session = ExecutionSession::new(&strategy, parameters, context);

        // Execute strategy
        let result = self.execute_strategy_internal(session)?;

        // Record performance
        self.performance_tracker.record_execution(&result)?;

        // Update adaptive system
        self.adaptive_system.learn_from_execution(&result)?;

        // Check for adaptation triggers
        self.check_adaptation_triggers(&result)?;

        Ok(result)
    }

    /// Get strategy recommendations for context
    pub fn get_recommendations(
        &self,
        context: &OptimizationContext,
    ) -> Result<Vec<StrategyRecommendation>, StrategyError> {
        self.recommendation_engine.generate_recommendations(
            context,
            &self.strategy_registry,
            &self.performance_tracker,
        )
    }

    /// Combine multiple strategies
    pub fn combine_strategies(
        &mut self,
        strategy_ids: Vec<String>,
        combination_method: CombinationMethod,
    ) -> Result<OptimizationStrategy, StrategyError> {
        let strategies: Result<Vec<_>, _> = strategy_ids
            .iter()
            .map(|id| self.strategy_registry.get_strategy(id))
            .collect();

        let strategies = strategies?;
        self.combination_engine
            .combine_strategies(strategies, combination_method)
    }

    /// Evolve strategies using adaptive system
    pub fn evolve_strategies(
        &mut self,
        evolution_config: EvolutionConfig,
    ) -> Result<Vec<OptimizationStrategy>, StrategyError> {
        let current_strategies = self.strategy_registry.get_all_strategies();
        let performance_data = self.performance_tracker.get_performance_summary();

        self.adaptive_system.evolve_strategies(
            current_strategies,
            performance_data,
            evolution_config,
        )
    }

    /// Run A/B test comparing strategies
    pub fn run_ab_test(
        &mut self,
        test_config: StrategyABTestConfig,
    ) -> Result<ABTestResult, StrategyError> {
        self.ab_testing_framework.run_test(
            test_config,
            &mut self.strategy_registry,
            &mut self.performance_tracker,
        )
    }

    /// Get performance metrics for strategy
    pub fn get_strategy_performance(
        &self,
        strategy_id: &str,
    ) -> Result<PerformanceMetrics, StrategyError> {
        self.performance_tracker.get_metrics(strategy_id)
    }

    /// Update strategy parameters
    pub fn update_strategy_parameters(
        &mut self,
        strategy_id: &str,
        parameter_updates: HashMap<String, ParameterValue>,
    ) -> Result<(), StrategyError> {
        let mut strategy = self.strategy_registry.get_strategy(strategy_id)?;

        // Validate updates
        for (param_name, new_value) in &parameter_updates {
            if let Some(param) = strategy.parameters.get(param_name) {
                self.validate_parameter_value(param, new_value)?;
            } else {
                return Err(StrategyError::ParameterNotFound(param_name.clone()));
            }
        }

        // Apply updates
        for (param_name, new_value) in parameter_updates {
            if let Some(param) = strategy.parameters.get_mut(&param_name) {
                param.value = new_value;
            }
        }

        // Update in registry
        self.strategy_registry.update_strategy(strategy)?;

        Ok(())
    }

    /// Auto-tune strategy parameters
    pub fn auto_tune_strategy(
        &mut self,
        strategy_id: &str,
        tuning_config: AutoTuningConfig,
    ) -> Result<TuningResult, StrategyError> {
        let strategy = self.strategy_registry.get_strategy(strategy_id)?;
        self.adaptive_system
            .auto_tune_parameters(strategy, tuning_config)
    }

    /// Export strategy configuration
    pub fn export_strategies(
        &self,
        export_config: ExportConfig,
    ) -> Result<StrategyExportData, StrategyError> {
        self.strategy_registry.export_strategies(export_config)
    }

    /// Import strategy configuration
    pub fn import_strategies(
        &mut self,
        import_data: StrategyImportData,
    ) -> Result<ImportResult, StrategyError> {
        self.strategy_registry.import_strategies(import_data)
    }

    /// Get strategy analytics dashboard
    pub fn get_analytics_dashboard(&self) -> Result<AnalyticsDashboard, StrategyError> {
        let performance_summary = self.performance_tracker.get_comprehensive_summary();
        let registry_stats = self.strategy_registry.get_statistics();
        let adaptation_metrics = self.adaptive_system.get_adaptation_metrics();

        Ok(AnalyticsDashboard {
            performance_summary,
            registry_stats,
            adaptation_metrics,
            real_time_metrics: self.real_time_monitor.get_current_metrics(),
            trend_analysis: self.performance_tracker.get_trend_analysis(),
            recommendation_insights: self.recommendation_engine.get_insights(),
        })
    }

    // Private helper methods

    fn validate_parameters(
        &self,
        strategy: &OptimizationStrategy,
        parameters: &HashMap<String, ParameterValue>,
    ) -> Result<(), StrategyError> {
        for (param_name, param_value) in parameters {
            if let Some(param_def) = strategy.parameters.get(param_name) {
                self.validate_parameter_value(param_def, param_value)?;
            } else {
                return Err(StrategyError::ParameterNotFound(param_name.clone()));
            }
        }
        Ok(())
    }

    fn validate_parameter_value(
        &self,
        param_def: &OptimizationParameter,
        value: &ParameterValue,
    ) -> Result<(), StrategyError> {
        // Validate parameter value against definition
        if let Some(bounds) = &param_def.bounds {
            self.check_parameter_bounds(value, bounds)?;
        }

        // Run validation rules
        for rule in &param_def.validation_rules {
            rule.validate(value)?;
        }

        Ok(())
    }

    fn check_parameter_bounds(
        &self,
        value: &ParameterValue,
        bounds: &ParameterBounds,
    ) -> Result<(), StrategyError> {
        // Check if value is within bounds
        match value {
            ParameterValue::Float(v) => {
                if let (ParameterValue::Float(min), ParameterValue::Float(max)) =
                    (&bounds.min, &bounds.max)
                {
                    if v < min || v > max {
                        return Err(StrategyError::ParameterOutOfBounds);
                    }
                }
            }
            ParameterValue::Integer(v) => {
                if let (ParameterValue::Integer(min), ParameterValue::Integer(max)) =
                    (&bounds.min, &bounds.max)
                {
                    if v < min || v > max {
                        return Err(StrategyError::ParameterOutOfBounds);
                    }
                }
            }
            _ => {} // Other types can have different validation logic
        }
        Ok(())
    }

    fn execute_strategy_internal(
        &mut self,
        session: ExecutionSession,
    ) -> Result<StrategyExecutionResult, StrategyError> {
        let start_time = Instant::now();

        // Pre-execution validation
        self.validation_framework
            .validate_execution_context(&session)?;

        // Execute the strategy
        let execution_result = self.perform_strategy_execution(&session)?;

        // Post-execution validation
        self.validation_framework
            .validate_execution_result(&execution_result)?;

        let execution_time = start_time.elapsed();

        Ok(StrategyExecutionResult {
            strategy_id: session.strategy.id.clone(),
            result: execution_result,
            execution_time,
            resource_usage: self.measure_resource_usage(&session)?,
            context: session.context.clone(),
            parameters: session.parameters.clone(),
            timestamp: Instant::now(),
            quality_metrics: self.calculate_quality_metrics(&execution_result)?,
            performance_classification: self.classify_performance(&execution_result)?,
        })
    }

    fn perform_strategy_execution(
        &self,
        session: &ExecutionSession,
    ) -> Result<ExecutionResult, StrategyError> {
        // This would contain the actual strategy execution logic
        // For now, returning a placeholder result
        Ok(ExecutionResult {
            success: true,
            metrics: HashMap::new(),
            details: "Strategy executed successfully".to_string(),
            side_effects: Vec::new(),
            artifacts: Vec::new(),
        })
    }

    fn measure_resource_usage(
        &self,
        session: &ExecutionSession,
    ) -> Result<ResourceUsage, StrategyError> {
        // Measure actual resource usage during execution
        Ok(ResourceUsage::default())
    }

    fn calculate_quality_metrics(
        &self,
        result: &ExecutionResult,
    ) -> Result<QualityMetrics, StrategyError> {
        // Calculate quality metrics based on execution result
        Ok(QualityMetrics::default())
    }

    fn classify_performance(
        &self,
        result: &ExecutionResult,
    ) -> Result<PerformanceClassification, StrategyError> {
        // Classify performance based on execution result
        Ok(PerformanceClassification::Good)
    }

    fn check_adaptation_triggers(
        &mut self,
        result: &StrategyExecutionResult,
    ) -> Result<(), StrategyError> {
        // Check if any adaptation should be triggered based on results
        self.adaptive_system.check_triggers(result)
    }
}

impl StrategyRegistry {
    /// Create a new strategy registry
    pub fn new(config: StrategyRegistryConfig) -> Self {
        Self {
            strategies: Arc::new(RwLock::new(HashMap::new())),
            categories: HashMap::new(),
            dependencies: HashMap::new(),
            compatibility_matrix: CompatibilityMatrix::new(),
            metadata_index: MetadataIndex::new(),
            version_control: StrategyVersionControl::new(),
            templates: HashMap::new(),
            strategy_builder: CustomStrategyBuilder::new(),
            import_export_manager: StrategyImportExportManager::new(),
        }
    }

    /// Register a strategy in the registry
    pub fn register(&mut self, strategy: OptimizationStrategy) -> Result<(), StrategyError> {
        let mut strategies = self
            .strategies
            .write()
            .map_err(|_| StrategyError::LockError)?;

        // Check for conflicts
        if strategies.contains_key(&strategy.id) {
            return Err(StrategyError::StrategyAlreadyExists(strategy.id));
        }

        // Update categories
        self.categories
            .entry(strategy.category)
            .or_insert_with(Vec::new)
            .push(strategy.id.clone());

        // Update metadata index
        self.metadata_index.index_strategy(&strategy);

        // Store strategy
        strategies.insert(strategy.id.clone(), strategy);

        Ok(())
    }

    /// Get a strategy by ID
    pub fn get_strategy(&self, strategy_id: &str) -> Result<OptimizationStrategy, StrategyError> {
        let strategies = self
            .strategies
            .read()
            .map_err(|_| StrategyError::LockError)?;
        strategies
            .get(strategy_id)
            .cloned()
            .ok_or_else(|| StrategyError::StrategyNotFound(strategy_id.to_string()))
    }

    /// Get strategies applicable to context
    pub fn get_applicable_strategies(
        &self,
        context: &AnalyzedContext,
    ) -> Result<Vec<OptimizationStrategy>, StrategyError> {
        let strategies = self
            .strategies
            .read()
            .map_err(|_| StrategyError::LockError)?;

        let applicable: Vec<_> = strategies
            .values()
            .filter(|strategy| self.is_strategy_applicable(strategy, context))
            .cloned()
            .collect();

        Ok(applicable)
    }

    /// Update an existing strategy
    pub fn update_strategy(&mut self, strategy: OptimizationStrategy) -> Result<(), StrategyError> {
        let mut strategies = self
            .strategies
            .write()
            .map_err(|_| StrategyError::LockError)?;

        if !strategies.contains_key(&strategy.id) {
            return Err(StrategyError::StrategyNotFound(strategy.id));
        }

        strategies.insert(strategy.id.clone(), strategy);
        Ok(())
    }

    /// Get all strategies
    pub fn get_all_strategies(&self) -> Vec<OptimizationStrategy> {
        let strategies = self.strategies.read().expect("lock should not be poisoned");
        strategies.values().cloned().collect()
    }

    /// Get strategies by category
    pub fn get_strategies_by_category(
        &self,
        category: StrategyCategory,
    ) -> Result<Vec<OptimizationStrategy>, StrategyError> {
        let strategy_ids = self.categories.get(&category).unwrap_or(&Vec::new());
        let strategies = self
            .strategies
            .read()
            .map_err(|_| StrategyError::LockError)?;

        let result: Vec<_> = strategy_ids
            .iter()
            .filter_map(|id| strategies.get(id).cloned())
            .collect();

        Ok(result)
    }

    /// Export strategies
    pub fn export_strategies(
        &self,
        config: ExportConfig,
    ) -> Result<StrategyExportData, StrategyError> {
        self.import_export_manager
            .export_strategies(&self.strategies, config)
    }

    /// Import strategies
    pub fn import_strategies(
        &mut self,
        import_data: StrategyImportData,
    ) -> Result<ImportResult, StrategyError> {
        self.import_export_manager
            .import_strategies(&mut self.strategies, import_data)
    }

    /// Get registry statistics
    pub fn get_statistics(&self) -> RegistryStatistics {
        let strategies = self.strategies.read().expect("lock should not be poisoned");
        RegistryStatistics {
            total_strategies: strategies.len(),
            strategies_by_category: self.get_category_counts(),
            strategies_by_complexity: self.get_complexity_counts(&strategies),
            average_success_rate: self.calculate_average_success_rate(&strategies),
            most_used_strategies: self.get_most_used_strategies(&strategies),
        }
    }

    // Private helper methods

    fn is_strategy_applicable(
        &self,
        strategy: &OptimizationStrategy,
        context: &AnalyzedContext,
    ) -> bool {
        // Check all applicability conditions
        strategy
            .conditions
            .iter()
            .all(|condition| self.evaluate_applicability_condition(condition, context))
    }

    fn evaluate_applicability_condition(
        &self,
        condition: &ApplicabilityCondition,
        context: &AnalyzedContext,
    ) -> bool {
        match condition {
            ApplicabilityCondition::MemoryUsage {
                threshold,
                operator,
                memory_type,
            } => {
                let current_usage = context.get_memory_usage(memory_type);
                self.compare_values(current_usage, *threshold, *operator)
            }
            ApplicabilityCondition::Performance {
                metric,
                threshold,
                operator,
                ..
            } => {
                if let Some(current_value) = context.get_performance_metric(metric) {
                    self.compare_values(current_value, *threshold, *operator)
                } else {
                    false
                }
            }
            ApplicabilityCondition::LogicalCombination {
                operator,
                conditions,
            } => match operator {
                LogicalOperator::And => conditions
                    .iter()
                    .all(|c| self.evaluate_applicability_condition(c, context)),
                LogicalOperator::Or => conditions
                    .iter()
                    .any(|c| self.evaluate_applicability_condition(c, context)),
                LogicalOperator::Not => conditions
                    .iter()
                    .all(|c| !self.evaluate_applicability_condition(c, context)),
            },
            _ => true, // Default to applicable for other conditions
        }
    }

    fn compare_values(&self, current: f64, threshold: f64, operator: ComparisonOperator) -> bool {
        match operator {
            ComparisonOperator::GreaterThan => current > threshold,
            ComparisonOperator::GreaterEqual => current >= threshold,
            ComparisonOperator::LessThan => current < threshold,
            ComparisonOperator::LessEqual => current <= threshold,
            ComparisonOperator::Equal => (current - threshold).abs() < 1e-6,
            ComparisonOperator::NotEqual => (current - threshold).abs() >= 1e-6,
        }
    }

    fn get_category_counts(&self) -> HashMap<StrategyCategory, usize> {
        self.categories
            .iter()
            .map(|(category, strategies)| (*category, strategies.len()))
            .collect()
    }

    fn get_complexity_counts(
        &self,
        strategies: &HashMap<String, OptimizationStrategy>,
    ) -> HashMap<OptimizationComplexity, usize> {
        let mut counts = HashMap::new();
        for strategy in strategies.values() {
            *counts.entry(strategy.complexity).or_insert(0) += 1;
        }
        counts
    }

    fn calculate_average_success_rate(
        &self,
        strategies: &HashMap<String, OptimizationStrategy>,
    ) -> f32 {
        if strategies.is_empty() {
            return 0.0;
        }

        let total_rate: f32 = strategies.values().map(|s| s.success_rate).sum();
        total_rate / strategies.len() as f32
    }

    fn get_most_used_strategies(
        &self,
        strategies: &HashMap<String, OptimizationStrategy>,
    ) -> Vec<(String, usize)> {
        // This would typically be based on actual usage data
        // For now, returning a placeholder
        strategies
            .keys()
            .take(5)
            .map(|k| (k.clone(), 100))
            .collect()
    }
}

// Default implementations and supporting structures

impl Default for ExpectedBenefits {
    fn default() -> Self {
        Self {
            performance_improvement: 0.0,
            memory_savings: 0.0,
            latency_reduction: 0.0,
            energy_savings: 0.0,
            cost_savings: 0.0,
            reliability_improvement: 0.0,
            confidence: 0.0,
            realization_time: Duration::from_secs(0),
            sustainability_duration: Duration::from_secs(3600),
            risk_adjusted_benefits: RiskAdjustedBenefits::default(),
            category_breakdown: HashMap::new(),
            quantitative_metrics: QuantitativeBenefits::default(),
        }
    }
}

impl OptimizationStrategy {
    /// Create a new optimization strategy
    pub fn new(id: String, name: String) -> Self {
        Self {
            id,
            name,
            description: String::new(),
            strategy_type: StrategyType::AllocationOptimization,
            category: StrategyCategory::Performance,
            objectives: Vec::new(),
            parameters: HashMap::new(),
            conditions: Vec::new(),
            expected_benefits: ExpectedBenefits::default(),
            complexity: OptimizationComplexity::Simple,
            risk_assessment: StrategyRiskAssessment::default(),
            success_rate: 0.0,
            performance_history: Vec::new(),
            version: StrategyVersion::default(),
            author_info: AuthorInfo::default(),
            dependencies: Vec::new(),
            execution_config: ExecutionConfiguration::default(),
            resource_requirements: ResourceRequirements::default(),
            quality_gates: Vec::new(),
            metadata: StrategyMetadata::default(),
            benchmarks: PerformanceBenchmarks::default(),
            testing_config: TestingConfiguration::default(),
        }
    }

    /// Add a parameter to the strategy
    pub fn add_parameter(&mut self, parameter: OptimizationParameter) -> &mut Self {
        self.parameters.insert(parameter.name.clone(), parameter);
        self
    }

    /// Add an applicability condition
    pub fn add_condition(&mut self, condition: ApplicabilityCondition) -> &mut Self {
        self.conditions.push(condition);
        self
    }

    /// Set expected benefits
    pub fn set_expected_benefits(&mut self, benefits: ExpectedBenefits) -> &mut Self {
        self.expected_benefits = benefits;
        self
    }

    /// Get parameter by name
    pub fn get_parameter(&self, name: &str) -> Option<&OptimizationParameter> {
        self.parameters.get(name)
    }

    /// Check if strategy is applicable for context
    pub fn is_applicable(&self, context: &AnalyzedContext) -> bool {
        self.conditions.iter().all(|condition| {
            // This would use the same logic as in StrategyRegistry
            true // Simplified for now
        })
    }
}

// Comprehensive error handling
#[derive(Debug)]
pub enum StrategyError {
    StrategyNotFound(String),
    StrategyAlreadyExists(String),
    ParameterNotFound(String),
    ParameterOutOfBounds,
    ValidationFailed(String),
    ExecutionFailed(String),
    LockError,
    ConfigurationError(String),
    ImportExportError(String),
    AdaptationError(String),
    PerformanceTrackingError(String),
    RecommendationError(String),
    ABTestingError(String),
    CombinationError(String),
    TuningError(String),
    RegistryError(String),
    LifecycleError(String),
}

impl std::fmt::Display for StrategyError {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            StrategyError::StrategyNotFound(id) => write!(f, "Strategy not found: {}", id),
            StrategyError::StrategyAlreadyExists(id) => {
                write!(f, "Strategy already exists: {}", id)
            }
            StrategyError::ParameterNotFound(name) => write!(f, "Parameter not found: {}", name),
            StrategyError::ParameterOutOfBounds => write!(f, "Parameter value out of bounds"),
            StrategyError::ValidationFailed(msg) => {
                write!(f, "Strategy validation failed: {}", msg)
            }
            StrategyError::ExecutionFailed(msg) => write!(f, "Strategy execution failed: {}", msg),
            StrategyError::LockError => write!(f, "Failed to acquire lock"),
            StrategyError::ConfigurationError(msg) => write!(f, "Configuration error: {}", msg),
            StrategyError::ImportExportError(msg) => write!(f, "Import/export error: {}", msg),
            StrategyError::AdaptationError(msg) => write!(f, "Adaptation error: {}", msg),
            StrategyError::PerformanceTrackingError(msg) => {
                write!(f, "Performance tracking error: {}", msg)
            }
            StrategyError::RecommendationError(msg) => write!(f, "Recommendation error: {}", msg),
            StrategyError::ABTestingError(msg) => write!(f, "A/B testing error: {}", msg),
            StrategyError::CombinationError(msg) => {
                write!(f, "Strategy combination error: {}", msg)
            }
            StrategyError::TuningError(msg) => write!(f, "Parameter tuning error: {}", msg),
            StrategyError::RegistryError(msg) => write!(f, "Registry error: {}", msg),
            StrategyError::LifecycleError(msg) => write!(f, "Lifecycle management error: {}", msg),
        }
    }
}

impl std::error::Error for StrategyError {}

// Placeholder implementations for supporting structures
// (Due to space constraints, providing abbreviated versions)

#[derive(Debug, Default)]
pub struct StrategyManagerConfig;
#[derive(Debug, Default)]
pub struct StrategyRegistryConfig;
#[derive(Debug, Default)]
pub struct StrategyConfigManager;
#[derive(Debug, Default)]
pub struct StrategyValidationFramework;
#[derive(Debug, Default)]
pub struct RealTimeStrategyMonitor;
#[derive(Debug, Default)]
pub struct StrategyCombinationEngine;
#[derive(Debug, Default)]
pub struct StrategyMetaLearningSystem;
#[derive(Debug, Default)]
pub struct StrategyRecommendationEngine;
#[derive(Debug, Default)]
pub struct StrategyABTestingFramework;
#[derive(Debug, Default)]
pub struct StrategyLifecycleManager;
#[derive(Debug, Default)]
pub struct OptimizationContext;
#[derive(Debug, Default)]
pub struct AnalyzedContext;
#[derive(Debug, Default)]
pub struct StrategyExecutionResult;
#[derive(Debug, Default)]
pub struct ExecutionSession {
    pub strategy: OptimizationStrategy,
    pub parameters: HashMap<String, ParameterValue>,
    pub context: OptimizationContext,
}
#[derive(Debug, Default)]
pub struct ExecutionResult;
#[derive(Debug, Default)]
pub struct PerformanceMetrics;
#[derive(Debug, Default)]
pub struct ResourceUsage;
#[derive(Debug, Default)]
pub struct QualityMetrics;
#[derive(Debug, Default, Clone, Copy)]
pub struct PerformanceClassification;
#[derive(Debug, Default)]
pub struct StrategyRecommendation;
#[derive(Debug, Default)]
pub struct CombinationMethod;
#[derive(Debug, Default)]
pub struct EvolutionConfig;
#[derive(Debug, Default)]
pub struct StrategyABTestConfig;
#[derive(Debug, Default)]
pub struct ABTestResult;
#[derive(Debug, Default)]
pub struct AutoTuningConfig;
#[derive(Debug, Default)]
pub struct TuningResult;
#[derive(Debug, Default)]
pub struct ExportConfig;
#[derive(Debug, Default)]
pub struct StrategyExportData;
#[derive(Debug, Default)]
pub struct StrategyImportData;
#[derive(Debug, Default)]
pub struct ImportResult;
#[derive(Debug, Default)]
pub struct AnalyticsDashboard;
#[derive(Debug, Default)]
pub struct CompatibilityMatrix;
#[derive(Debug, Default)]
pub struct MetadataIndex;
#[derive(Debug, Default)]
pub struct StrategyVersionControl;
#[derive(Debug, Default)]
pub struct StrategyTemplate;
#[derive(Debug, Default)]
pub struct CustomStrategyBuilder;
#[derive(Debug, Default)]
pub struct StrategyImportExportManager;
#[derive(Debug, Default)]
pub struct RegistryStatistics;

// Additional placeholder structures
#[derive(Debug, Default, Clone)]
pub struct StrategyVersion;
#[derive(Debug, Default, Clone)]
pub struct AuthorInfo;
#[derive(Debug, Default, Clone)]
pub struct StrategyDependency;
#[derive(Debug, Default, Clone)]
pub struct ExecutionConfiguration;
#[derive(Debug, Default, Clone)]
pub struct ResourceRequirements;
#[derive(Debug, Default, Clone)]
pub struct QualityGate;
#[derive(Debug, Default, Clone)]
pub struct StrategyMetadata;
#[derive(Debug, Default, Clone)]
pub struct PerformanceBenchmarks;
#[derive(Debug, Default, Clone)]
pub struct TestingConfiguration;
#[derive(Debug, Default, Clone)]
pub struct ParameterDependency;
#[derive(Debug, Default, Clone)]
pub struct ParameterValidationRule;
#[derive(Debug, Default, Clone)]
pub struct ParameterOptimizationRecord;
#[derive(Debug, Default, Clone)]
pub struct ParameterMetadata;
#[derive(Debug, Default, Clone)]
pub struct TuningContext;
#[derive(Debug, Default, Clone)]
pub struct ResourceCost;
#[derive(Debug, Default, Clone)]
pub struct TuningMetadata;
#[derive(Debug, Default, Clone)]
pub struct RiskAdjustedBenefits;
#[derive(Debug, Default, Clone)]
pub struct QuantitativeBenefits;
#[derive(Debug, Default, Clone)]
pub struct BenefitCategory;
#[derive(Debug, Default, Clone)]
pub struct RiskLevel;
#[derive(Debug, Default, Clone)]
pub struct RiskFactor;
#[derive(Debug, Default, Clone)]
pub struct RiskMitigation;
#[derive(Debug, Default, Clone)]
pub struct RiskTimeline;
#[derive(Debug, Default, Clone)]
pub struct ExecutionContext;
#[derive(Debug, Default, Clone)]
pub struct ResourceUtilization;
#[derive(Debug, Default, Clone)]
pub struct QoSMetrics;
#[derive(Debug, Default, Clone)]
pub struct ErrorInfo;
#[derive(Debug, Default, Clone)]
pub struct BaselineComparison;
#[derive(Debug, Default, Clone)]
pub struct EnvironmentalConditions;
#[derive(Debug, Default, Clone)]
pub struct UserFeedback;
#[derive(Debug, Default, Clone, Copy)]
pub struct ComparisonOperator;
#[derive(Debug, Default, Clone, Copy)]
pub struct MemoryType;
#[derive(Debug, Default, Clone, Copy)]
pub struct LoadType;
#[derive(Debug, Default, Clone)]
pub struct ContextValue;
#[derive(Debug, Default, Clone, Copy)]
pub struct ContextComparison;
#[derive(Debug, Default, Clone, Copy)]
pub struct LogicalOperator;
#[derive(Debug, Default, Clone)]
pub struct AdaptationRecord;
#[derive(Debug, Default, Clone)]
pub struct AdaptationPerformanceMetrics;
#[derive(Debug, Default, Clone)]
pub struct RollbackConfiguration;
#[derive(Debug, Default, Clone)]
pub struct AdaptationAction;
#[derive(Debug, Default, Clone, Copy)]
pub struct WorkloadChangeType;
#[derive(Debug, Default, Clone, Copy)]
pub struct FeedbackSeverity;
#[derive(Debug, Default, Clone, Copy)]
pub struct EnvironmentalChangeType;
#[derive(Debug, Default, Clone, Copy)]
pub struct BusinessImpactLevel;

// Trait definitions for complex and dynamic parameters
pub trait ComplexParameter: std::fmt::Debug + Send + Sync {
    fn get_value(&self) -> HashMap<String, ParameterValue>;
    fn set_value(&mut self, values: HashMap<String, ParameterValue>) -> Result<(), ParameterError>;
    fn validate(&self) -> Result<(), ParameterError>;
}

pub trait DynamicParameter: std::fmt::Debug + Send + Sync {
    fn evaluate(&self, context: &OptimizationContext) -> Result<ParameterValue, ParameterError>;
    fn get_dependencies(&self) -> Vec<String>;
    fn update_context(&mut self, context: &OptimizationContext) -> Result<(), ParameterError>;
}

#[derive(Debug, Default, Clone)]
pub struct ParameterFunction;
#[derive(Debug, Default, Clone)]
pub struct ParameterConstraint;
#[derive(Debug, Default, Clone)]
pub struct ParameterValidator;

#[derive(Debug)]
pub enum ParameterError {
    InvalidValue(String),
    ConstraintViolation(String),
    ValidationFailed(String),
    ContextError(String),
}

impl std::fmt::Display for ParameterError {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            ParameterError::InvalidValue(msg) => write!(f, "Invalid parameter value: {}", msg),
            ParameterError::ConstraintViolation(msg) => {
                write!(f, "Parameter constraint violation: {}", msg)
            }
            ParameterError::ValidationFailed(msg) => {
                write!(f, "Parameter validation failed: {}", msg)
            }
            ParameterError::ContextError(msg) => write!(f, "Parameter context error: {}", msg),
        }
    }
}

impl std::error::Error for ParameterError {}

// Implementation stubs for complex functionality
impl ParameterValidationRule {
    fn validate(&self, value: &ParameterValue) -> Result<(), StrategyError> {
        // Validation logic would go here
        Ok(())
    }
}

impl AnalyzedContext {
    fn get_memory_usage(&self, memory_type: &MemoryType) -> f64 {
        0.5 // Placeholder
    }

    fn get_performance_metric(&self, metric: &str) -> Option<f64> {
        Some(0.8) // Placeholder
    }
}

impl ExecutionSession {
    fn new(
        strategy: &OptimizationStrategy,
        parameters: HashMap<String, ParameterValue>,
        context: &OptimizationContext,
    ) -> Self {
        Self {
            strategy: strategy.clone(),
            parameters,
            context: context.clone(),
        }
    }
}

// Enum implementations
impl ComparisonOperator {
    pub const GreaterThan: Self = Self;
    pub const GreaterEqual: Self = Self;
    pub const LessThan: Self = Self;
    pub const LessEqual: Self = Self;
    pub const Equal: Self = Self;
    pub const NotEqual: Self = Self;
}

impl LogicalOperator {
    pub const And: Self = Self;
    pub const Or: Self = Self;
    pub const Not: Self = Self;
}

impl PerformanceClassification {
    pub const Good: Self = Self;
    pub const Average: Self = Self;
    pub const Poor: Self = Self;
}

// Additional implementations would be provided for complete functionality
// This represents the core structure of the strategies module