torsh-backend 0.1.2

//! Historical Data Management Module
//!
//! This module provides comprehensive historical data management capabilities for CUDA memory optimization,
//! including long-term data storage, archival, compression, querying, analytics, and trend analysis
//! for optimization performance tracking and decision making.

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

// Import types from config module
use super::config::{HistoryStorageConfig, TrendAnalysisConfig};

// Import types from monitoring module
use super::monitoring::{
    AnomalyAnalysis, AnomalyIndicator, ApprovalStatus, BackupInformation, BaselineComparison,
    BenchmarkComparisons, ChangeMetadata, ChangeReason, ChangeValidationResults, CorrelationAnalysis,
    CorrelationData, DataCollectionMethod, DataSource, EnrichmentData, ErrorInfo, ErrorPatterns,
    ErrorRecord, ExecutionBenchmarks, ExecutionContext, ExecutionMetadata, ExecutionQualityMetrics,
    ExecutionStatus, FrequencyPatterns, FutureImplications, HistoryIndex, HistoryQualityMetrics,
    ImpactAssessment, KnowledgeGained, MeasurementUncertainty, MilestoneValidationMetrics,
    OptimizationResults, OptimizationSession, ParameterTuningRecord, PerformanceImpact,
    PredictiveInsights, QualityOfServiceMetrics, ReproducibilityInfo, ResourceUsage,
    ResourceUtilization, ResourceUtilizationPatterns, RetentionStatus, ROIAnalysis, RollbackInfo,
    SeasonalPatterns, StorageStatistics, SystemState, TrendAnalysis, UserFeedback,
    ValidationResults, ValidationStatus,
};

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

/// Data compression system (stub implementation)
#[derive(Debug)]
pub struct DataCompressionSystem {}

impl DataCompressionSystem {
    fn new(_config: CompressionConfig) -> Self {
        Self {}
    }
}

/// History query system (stub implementation)
#[derive(Debug)]
pub struct HistoryQuerySystem {}

impl HistoryQuerySystem {
    fn new(_config: QueryConfig) -> Self {
        Self {}
    }
}

/// Data migration system (stub implementation)
#[derive(Debug)]
pub struct DataMigrationSystem {}

impl DataMigrationSystem {
    fn new(_config: MigrationConfig) -> Self {
        Self {}
    }
}

/// Data retention manager (stub implementation)
#[derive(Debug)]
pub struct DataRetentionManager {}

impl DataRetentionManager {
    fn new(_config: RetentionConfig) -> Self {
        Self {}
    }
}

/// History validation system (stub implementation)
#[derive(Debug)]
pub struct HistoryValidationSystem {}

impl HistoryValidationSystem {
    fn new(_config: ValidationConfig) -> Self {
        Self {}
    }
}

/// History export import system (stub implementation)
#[derive(Debug)]
pub struct HistoryExportImportSystem {}

impl HistoryExportImportSystem {
    fn new(_config: ExportImportConfig) -> Self {
        Self {}
    }
}

/// Historical trend analyzer (stub implementation)
#[derive(Debug)]
pub struct HistoricalTrendAnalyzer {}

impl HistoricalTrendAnalyzer {
    fn new(_config: TrendConfig) -> Self {
        Self {}
    }
}

/// History visualization system (stub implementation)
#[derive(Debug)]
pub struct HistoryVisualizationSystem {}

impl HistoryVisualizationSystem {
    fn new(_config: VisualizationConfig) -> Self {
        Self {}
    }
}

/// History performance tracker (stub implementation)
#[derive(Debug)]
pub struct HistoryPerformanceTracker {}

impl HistoryPerformanceTracker {
    fn new(_config: PerformanceConfig) -> Self {
        Self {}
    }
}

/// Archival candidates (stub implementation)
#[derive(Debug, Default)]
pub struct ArchivalCandidates {}

/// History query (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct HistoryQuery {}

/// History query result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct HistoryQueryResult {}

/// Trend analysis result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct TrendAnalysisResult {}

/// Archive result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct ArchiveResult {}

/// History export result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct HistoryExportResult {}

/// History import data (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct HistoryImportData {}

/// History import result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct HistoryImportResult {}

/// Compression result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct CompressionResult {}

/// Retention result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct RetentionResult {}

/// Integrity validation result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct IntegrityValidationResult {}

/// Visualization result (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct VisualizationResult {}

/// Performance impact report (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct PerformanceImpactReport {}

/// Archival policy (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct ArchivalPolicy {}

/// Archival scheduler (stub implementation)
#[derive(Debug, Default)]
pub struct ArchivalScheduler {}

impl ArchivalScheduler {
    fn new() -> Self {
        Self {}
    }
}

/// Data lifecycle manager (stub implementation)
#[derive(Debug, Default)]
pub struct DataLifecycleManager {}

impl DataLifecycleManager {
    fn new() -> Self {
        Self {}
    }
}

/// Archive integrity checker (stub implementation)
#[derive(Debug, Default)]
pub struct ArchiveIntegrityChecker {}

impl ArchiveIntegrityChecker {
    fn new() -> Self {
        Self {}
    }
}

/// Archive optimization engine (stub implementation)
#[derive(Debug, Default)]
pub struct ArchiveOptimizationEngine {}

impl ArchiveOptimizationEngine {
    fn new() -> Self {
        Self {}
    }
}

/// Archive search index (stub implementation)
#[derive(Debug, Default)]
pub struct ArchiveSearchIndex {}

impl ArchiveSearchIndex {
    fn new() -> Self {
        Self {}
    }
}

/// Archive recovery system (stub implementation)
#[derive(Debug, Default)]
pub struct ArchiveRecoverySystem {}

impl ArchiveRecoverySystem {
    fn new() -> Self {
        Self {}
    }
}

/// Archive monitoring system (stub implementation)
#[derive(Debug, Default)]
pub struct ArchiveMonitoringSystem {}

impl ArchiveMonitoringSystem {
    fn new() -> Self {
        Self {}
    }
}

/// Archive cost optimizer (stub implementation)
#[derive(Debug, Default)]
pub struct ArchiveCostOptimizer {}

impl ArchiveCostOptimizer {
    fn new() -> Self {
        Self {}
    }
}

/// Time series analyzer (stub implementation)
#[derive(Debug, Default)]
pub struct TimeSeriesAnalyzer {}

impl TimeSeriesAnalyzer {
    fn new() -> Self {
        Self {}
    }
}

/// Statistical analysis engine (stub implementation)
#[derive(Debug, Default)]
pub struct StatisticalAnalysisEngine {}

impl StatisticalAnalysisEngine {
    fn new() -> Self {
        Self {}
    }
}

/// ML analytics engine (stub implementation)
#[derive(Debug, Default)]
pub struct MLAnalyticsEngine {}

impl MLAnalyticsEngine {
    fn new() -> Self {
        Self {}
    }
}

/// Pattern recognition system (stub implementation)
#[derive(Debug, Default)]
pub struct PatternRecognitionSystem {}

impl PatternRecognitionSystem {
    fn new() -> Self {
        Self {}
    }
}

/// Correlation analysis engine (stub implementation)
#[derive(Debug, Default)]
pub struct CorrelationAnalysisEngine {}

impl CorrelationAnalysisEngine {
    fn new() -> Self {
        Self {}
    }
}

/// Predictive modeler (stub implementation)
#[derive(Debug, Default)]
pub struct PredictiveModeler {}

impl PredictiveModeler {
    fn new() -> Self {
        Self {}
    }
}

/// Anomaly detection engine (stub implementation)
#[derive(Debug, Default)]
pub struct AnomalyDetectionEngine {}

impl AnomalyDetectionEngine {
    fn new() -> Self {
        Self {}
    }
}

/// Trend analysis engine (stub implementation)
#[derive(Debug, Default)]
pub struct TrendAnalysisEngine {}

impl TrendAnalysisEngine {
    fn new() -> Self {
        Self {}
    }
}

/// Cohort analysis engine (stub implementation)
#[derive(Debug, Default)]
pub struct CohortAnalysisEngine {}

impl CohortAnalysisEngine {
    fn new() -> Self {
        Self {}
    }
}

/// AB test analysis engine (stub implementation)
#[derive(Debug, Default)]
pub struct ABTestAnalysisEngine {}

impl ABTestAnalysisEngine {
    fn new() -> Self {
        Self {}
    }
}

/// History manager config (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct HistoryManagerConfig {}

// Stub configuration types
#[derive(Debug, Clone)]
pub struct CompressionConfig {}
#[derive(Debug, Clone)]
pub struct QueryConfig {}
#[derive(Debug, Clone)]
pub struct MigrationConfig {}
#[derive(Debug, Clone)]
pub struct RetentionConfig {}
#[derive(Debug, Clone)]
pub struct ValidationConfig {}
#[derive(Debug, Clone)]
pub struct ExportImportConfig {}
#[derive(Debug, Clone)]
pub struct TrendConfig {}
#[derive(Debug, Clone)]
pub struct VisualizationConfig {}
#[derive(Debug, Clone)]
pub struct PerformanceConfig {}

/// Archive criteria (stub implementation)
#[derive(Debug, Clone)]
pub struct ArchiveCriteria {
    pub age_threshold: Duration,
    pub size_threshold: u64,
    pub access_frequency_threshold: f64,
}

/// Archive location (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct ArchiveLocation {}

/// Archived item (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct ArchivedItem {}

/// Archive metadata (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct ArchiveMetadata {}

/// History export config (stub implementation)
#[derive(Debug, Clone, Default)]
pub struct HistoryExportConfig {}

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

/// Comprehensive historical data management system
#[derive(Debug)]
pub struct OptimizationHistoryManager {
    /// Core history storage
    history_storage: HistoryStorage,
    /// Data archival system
    archival_system: DataArchivalSystem,
    /// Historical analytics engine
    analytics_engine: HistoricalAnalyticsEngine,
    /// Data compression and optimization
    compression_system: DataCompressionSystem,
    /// Query and retrieval system
    query_system: HistoryQuerySystem,
    /// Data migration and backup
    migration_system: DataMigrationSystem,
    /// Retention policy manager
    retention_manager: DataRetentionManager,
    /// Historical data validation
    validation_system: HistoryValidationSystem,
    /// Data export and import
    export_import_system: HistoryExportImportSystem,
    /// Trend analysis and forecasting
    trend_analyzer: HistoricalTrendAnalyzer,
    /// Data visualization system
    visualization_system: HistoryVisualizationSystem,
    /// Performance impact tracker
    performance_tracker: HistoryPerformanceTracker,
}

/// Core optimization history storage
#[derive(Debug)]
pub struct HistoryStorage {
    /// Strategy execution history
    strategy_history: Arc<RwLock<HashMap<String, Vec<StrategyExecution>>>>,
    /// Performance evolution tracking
    performance_evolution: Arc<RwLock<VecDeque<PerformanceEvolutionPoint>>>,
    /// Configuration change history
    configuration_changes: Arc<RwLock<VecDeque<ConfigurationChange>>>,
    /// Learning milestone tracking
    learning_milestones: Arc<RwLock<Vec<LearningMilestone>>>,
    /// Historical performance data
    historical_performance: Arc<RwLock<VecDeque<HistoricalPerformance>>>,
    /// Optimization session archive
    session_archive: Arc<RwLock<HashMap<String, OptimizationSession>>>,
    /// Parameter tuning history
    parameter_history: Arc<RwLock<HashMap<String, Vec<ParameterTuningRecord>>>>,
    /// Error and anomaly history
    error_history: Arc<RwLock<VecDeque<ErrorRecord>>>,
    /// Storage configuration
    config: HistoryStorageConfig,
}

/// Optimization history comprehensive record
#[derive(Debug)]
pub struct OptimizationHistory {
    /// Strategy execution history by strategy ID
    pub strategy_history: HashMap<String, Vec<StrategyExecution>>,
    /// Performance evolution over time
    pub performance_evolution: VecDeque<PerformanceEvolutionPoint>,
    /// Configuration changes chronologically
    pub configuration_changes: VecDeque<ConfigurationChange>,
    /// Learning milestones achieved
    pub learning_milestones: Vec<LearningMilestone>,
    /// Historical analytics summary
    pub analytics: HistoryAnalytics,
    /// Data quality metrics
    pub quality_metrics: HistoryQualityMetrics,
    /// Storage statistics
    pub storage_stats: StorageStatistics,
    /// Retention policy status
    pub retention_status: RetentionStatus,
    /// Index and metadata
    pub index: HistoryIndex,
    /// Backup and recovery info
    pub backup_info: BackupInformation,
}

/// Strategy execution record with comprehensive tracking
#[derive(Debug, Clone)]
pub struct StrategyExecution {
    /// Unique execution identifier
    pub execution_id: String,
    /// Execution timestamp
    pub timestamp: Instant,
    /// Strategy identifier
    pub strategy_id: String,
    /// Execution parameters
    pub parameters: HashMap<String, f64>,
    /// Execution results
    pub results: OptimizationResults,
    /// Execution context
    pub context: ExecutionContext,
    /// Resource consumption
    pub resource_usage: ResourceUsage,
    /// Execution duration
    pub duration: Duration,
    /// Success/failure status
    pub status: ExecutionStatus,
    /// Error information if failed
    pub error_info: Option<ErrorInfo>,
    /// Quality metrics
    pub quality_metrics: ExecutionQualityMetrics,
    /// Performance benchmarks
    pub benchmarks: ExecutionBenchmarks,
    /// User feedback
    pub user_feedback: Option<UserFeedback>,
    /// Execution metadata
    pub metadata: ExecutionMetadata,
    /// Related executions
    pub related_executions: Vec<String>,
    /// Validation results
    pub validation_results: ValidationResults,
}

/// Performance evolution point for tracking improvements
#[derive(Debug, Clone)]
pub struct PerformanceEvolutionPoint {
    /// Evolution point timestamp
    pub timestamp: Instant,
    /// Performance metrics snapshot
    pub metrics: HashMap<String, f64>,
    /// Improvement from baseline
    pub improvement: f32,
    /// Improvement from previous point
    pub delta_improvement: f32,
    /// Contributing factors
    pub contributing_factors: Vec<String>,
    /// System state at this point
    pub system_state: SystemState,
    /// Optimization strategy active
    pub active_strategy: String,
    /// Confidence in measurements
    pub measurement_confidence: f32,
    /// Statistical significance
    pub statistical_significance: f32,
    /// External factors influence
    pub external_factors: HashMap<String, f64>,
    /// Data quality score
    pub data_quality: f32,
    /// Anomaly indicators
    pub anomaly_indicators: Vec<AnomalyIndicator>,
    /// Trend analysis
    pub trend_analysis: TrendAnalysis,
    /// Baseline comparison
    pub baseline_comparison: BaselineComparison,
}

/// Historical performance data record
#[derive(Debug, Clone)]
pub struct HistoricalPerformance {
    /// Record timestamp
    pub timestamp: Instant,
    /// Performance metrics collected
    pub metrics: HashMap<String, f64>,
    /// System configuration at time of measurement
    pub system_configuration: HashMap<String, String>,
    /// Environmental factors
    pub environmental_factors: HashMap<String, f64>,
    /// Workload characteristics
    pub workload_characteristics: HashMap<String, f64>,
    /// Resource utilization
    pub resource_utilization: ResourceUtilization,
    /// Quality of service metrics
    pub qos_metrics: QualityOfServiceMetrics,
    /// Data collection method
    pub collection_method: DataCollectionMethod,
    /// Data source information
    pub data_source: DataSource,
    /// Measurement uncertainty
    pub uncertainty: MeasurementUncertainty,
    /// Validation status
    pub validation_status: ValidationStatus,
    /// Data enrichment
    pub enrichment_data: EnrichmentData,
    /// Correlation data
    pub correlation_data: CorrelationData,
}

/// Configuration change record
#[derive(Debug, Clone)]
pub struct ConfigurationChange {
    /// Change timestamp
    pub timestamp: Instant,
    /// Change identifier
    pub change_id: String,
    /// Configuration section changed
    pub section: String,
    /// Setting name
    pub setting: String,
    /// Previous value
    pub old_value: String,
    /// New value
    pub new_value: String,
    /// Change reason
    pub reason: ChangeReason,
    /// Change author/system
    pub author: String,
    /// Change impact assessment
    pub impact_assessment: ImpactAssessment,
    /// Rollback information
    pub rollback_info: RollbackInfo,
    /// Change approval status
    pub approval_status: ApprovalStatus,
    /// Related changes
    pub related_changes: Vec<String>,
    /// Change validation
    pub validation_results: ChangeValidationResults,
    /// Performance impact
    pub performance_impact: PerformanceImpact,
    /// Change metadata
    pub metadata: ChangeMetadata,
}

/// Learning milestone record
#[derive(Debug, Clone)]
pub struct LearningMilestone {
    /// Milestone timestamp
    pub timestamp: Instant,
    /// Milestone identifier
    pub milestone_id: String,
    /// Milestone type
    pub milestone_type: MilestoneType,
    /// Achievement description
    pub description: String,
    /// Performance improvement achieved
    pub improvement_achieved: f32,
    /// Learning algorithm involved
    pub algorithm: String,
    /// Data points required
    pub data_points_required: u64,
    /// Training time
    pub training_time: Duration,
    /// Milestone significance
    pub significance: f32,
    /// Validation metrics
    pub validation_metrics: MilestoneValidationMetrics,
    /// Reproducibility information
    pub reproducibility: ReproducibilityInfo,
    /// Milestone dependencies
    pub dependencies: Vec<String>,
    /// Knowledge gained
    pub knowledge_gained: KnowledgeGained,
    /// Future implications
    pub future_implications: FutureImplications,
}

/// Types of learning milestones
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum MilestoneType {
    /// First successful optimization
    FirstSuccess,
    /// Performance threshold achieved
    PerformanceThreshold,
    /// Convergence milestone
    Convergence,
    /// Adaptation milestone
    Adaptation,
    /// New strategy discovery
    StrategyDiscovery,
    /// Model accuracy improvement
    AccuracyImprovement,
    /// Resource efficiency gain
    EfficiencyGain,
    /// Stability achievement
    StabilityAchievement,
    /// Scalability milestone
    ScalabilityMilestone,
    /// Knowledge transfer success
    KnowledgeTransfer,
    /// Custom milestone
    Custom(String),
}

/// Historical analytics and insights
#[derive(Debug, Clone)]
pub struct HistoryAnalytics {
    /// Success rate trends by strategy
    pub success_trends: HashMap<String, f32>,
    /// Performance improvement trends
    pub improvement_trends: HashMap<String, f32>,
    /// Top performing strategies
    pub top_strategies: Vec<(String, f32)>,
    /// Resource utilization patterns
    pub resource_patterns: ResourceUtilizationPatterns,
    /// Optimization frequency patterns
    pub frequency_patterns: FrequencyPatterns,
    /// Error patterns and analysis
    pub error_patterns: ErrorPatterns,
    /// Seasonal performance variations
    pub seasonal_patterns: SeasonalPatterns,
    /// Predictive insights
    pub predictive_insights: PredictiveInsights,
    /// Benchmark comparisons
    pub benchmark_comparisons: BenchmarkComparisons,
    /// ROI analysis
    pub roi_analysis: ROIAnalysis,
    /// Correlation analysis
    pub correlation_analysis: CorrelationAnalysis,
    /// Anomaly analysis
    pub anomaly_analysis: AnomalyAnalysis,
}

/// Data archival system for long-term storage
#[derive(Debug)]
pub struct DataArchivalSystem {
    /// Archive storage backends
    archive_backends: HashMap<String, Box<dyn ArchiveBackend>>,
    /// Archival policies
    archival_policies: Vec<ArchivalPolicy>,
    /// Archive scheduler
    scheduler: ArchivalScheduler,
    /// Data lifecycle manager
    lifecycle_manager: DataLifecycleManager,
    /// Archive integrity checker
    integrity_checker: ArchiveIntegrityChecker,
    /// Archive optimization
    optimization_engine: ArchiveOptimizationEngine,
    /// Archive search index
    search_index: ArchiveSearchIndex,
    /// Recovery system
    recovery_system: ArchiveRecoverySystem,
    /// Archive monitoring
    monitoring_system: ArchiveMonitoringSystem,
    /// Cost optimization
    cost_optimizer: ArchiveCostOptimizer,
}

/// Historical analytics engine
#[derive(Debug)]
pub struct HistoricalAnalyticsEngine {
    /// Time series analysis
    time_series_analyzer: TimeSeriesAnalyzer,
    /// Statistical analysis engine
    statistical_analyzer: StatisticalAnalysisEngine,
    /// Machine learning analytics
    ml_analyzer: MLAnalyticsEngine,
    /// Pattern recognition system
    pattern_recognizer: PatternRecognitionSystem,
    /// Correlation analysis
    correlation_analyzer: CorrelationAnalysisEngine,
    /// Predictive modeling
    predictive_modeler: PredictiveModeler,
    /// Anomaly detection
    anomaly_detector: AnomalyDetectionEngine,
    /// Trend analysis
    trend_analyzer: TrendAnalysisEngine,
    /// Cohort analysis
    cohort_analyzer: CohortAnalysisEngine,
    /// A/B test analysis
    ab_test_analyzer: ABTestAnalysisEngine,
}

impl OptimizationHistoryManager {
    /// Create a new history manager
    pub fn new(config: HistoryManagerConfig) -> Self {
        Self {
            history_storage: HistoryStorage::new(config.storage_config.clone()),
            archival_system: DataArchivalSystem::new(config.archival_config.clone()),
            analytics_engine: HistoricalAnalyticsEngine::new(config.analytics_config.clone()),
            compression_system: DataCompressionSystem::new(config.compression_config.clone()),
            query_system: HistoryQuerySystem::new(config.query_config.clone()),
            migration_system: DataMigrationSystem::new(config.migration_config.clone()),
            retention_manager: DataRetentionManager::new(config.retention_config.clone()),
            validation_system: HistoryValidationSystem::new(config.validation_config.clone()),
            export_import_system: HistoryExportImportSystem::new(
                config.export_import_config.clone(),
            ),
            trend_analyzer: HistoricalTrendAnalyzer::new(config.trend_config.clone()),
            visualization_system: HistoryVisualizationSystem::new(
                config.visualization_config.clone(),
            ),
            performance_tracker: HistoryPerformanceTracker::new(config.performance_config.clone()),
        }
    }

    /// Initialize the history management system
    pub fn initialize(&mut self) -> Result<(), HistoryError> {
        // Initialize storage
        self.history_storage.initialize()?;

        // Initialize archival system
        self.archival_system.initialize()?;

        // Initialize analytics engine
        self.analytics_engine.initialize()?;

        // Initialize other subsystems
        self.compression_system.initialize()?;
        self.query_system.initialize()?;
        self.migration_system.initialize()?;
        self.retention_manager.initialize()?;
        self.validation_system.initialize()?;
        self.export_import_system.initialize()?;
        self.trend_analyzer.initialize()?;
        self.visualization_system.initialize()?;
        self.performance_tracker.initialize()?;

        Ok(())
    }

    /// Record strategy execution
    pub fn record_strategy_execution(
        &mut self,
        execution: StrategyExecution,
    ) -> Result<(), HistoryError> {
        // Validate execution record
        self.validation_system.validate_execution(&execution)?;

        // Store execution
        self.history_storage
            .add_strategy_execution(execution.clone())?;

        // Update performance evolution
        self.update_performance_evolution(&execution)?;

        // Trigger analytics update
        self.analytics_engine.update_with_execution(&execution)?;

        // Check archival criteria
        self.check_archival_criteria()?;

        Ok(())
    }

    /// Record performance data point
    pub fn record_performance(
        &mut self,
        performance: HistoricalPerformance,
    ) -> Result<(), HistoryError> {
        // Validate performance data
        self.validation_system.validate_performance(&performance)?;

        // Store performance data
        self.history_storage
            .add_performance_data(performance.clone())?;

        // Update evolution tracking
        self.update_performance_tracking(&performance)?;

        // Update analytics
        self.analytics_engine
            .update_with_performance(&performance)?;

        Ok(())
    }

    /// Record configuration change
    pub fn record_configuration_change(
        &mut self,
        change: ConfigurationChange,
    ) -> Result<(), HistoryError> {
        // Validate change record
        self.validation_system
            .validate_configuration_change(&change)?;

        // Store configuration change
        self.history_storage
            .add_configuration_change(change.clone())?;

        // Analyze impact
        self.analyze_configuration_impact(&change)?;

        // Update analytics
        self.analytics_engine
            .update_with_configuration_change(&change)?;

        Ok(())
    }

    /// Record learning milestone
    pub fn record_learning_milestone(
        &mut self,
        milestone: LearningMilestone,
    ) -> Result<(), HistoryError> {
        // Validate milestone
        self.validation_system.validate_milestone(&milestone)?;

        // Store milestone
        self.history_storage
            .add_learning_milestone(milestone.clone())?;

        // Update analytics
        self.analytics_engine.update_with_milestone(&milestone)?;

        // Generate insights
        self.generate_milestone_insights(&milestone)?;

        Ok(())
    }

    /// Query historical data
    pub fn query_history(&self, query: HistoryQuery) -> Result<HistoryQueryResult, HistoryError> {
        // Validate query
        self.validation_system.validate_query(&query)?;

        // Execute query
        let result = self.query_system.execute_query(query)?;

        // Apply post-processing
        let processed_result = self.post_process_query_result(result)?;

        Ok(processed_result)
    }

    /// Get comprehensive analytics
    pub fn get_analytics(&self, timeframe: TimeFrame) -> Result<HistoryAnalytics, HistoryError> {
        self.analytics_engine
            .generate_comprehensive_analytics(timeframe)
    }

    /// Get performance evolution
    pub fn get_performance_evolution(
        &self,
        timeframe: TimeFrame,
    ) -> Result<Vec<PerformanceEvolutionPoint>, HistoryError> {
        let evolution_data = self.history_storage.get_performance_evolution(timeframe)?;
        Ok(evolution_data)
    }

    /// Get strategy execution history
    pub fn get_strategy_history(
        &self,
        strategy_id: &str,
        timeframe: TimeFrame,
    ) -> Result<Vec<StrategyExecution>, HistoryError> {
        self.history_storage
            .get_strategy_history(strategy_id, timeframe)
    }

    /// Perform trend analysis
    pub fn analyze_trends(
        &self,
        analysis_config: TrendAnalysisConfig,
    ) -> Result<TrendAnalysisResult, HistoryError> {
        self.trend_analyzer.analyze_trends(analysis_config)
    }

    /// Archive old data
    pub fn archive_data(
        &mut self,
        archive_criteria: ArchiveCriteria,
    ) -> Result<ArchiveResult, HistoryError> {
        // Identify data for archival
        let data_to_archive = self.identify_archival_data(&archive_criteria)?;

        // Perform archival
        let archive_result = self.archival_system.archive_data(data_to_archive)?;

        // Update storage
        self.update_storage_after_archival(&archive_result)?;

        // Update analytics
        self.analytics_engine
            .handle_data_archival(&archive_result)?;

        Ok(archive_result)
    }

    /// Export historical data
    pub fn export_data(
        &self,
        export_config: HistoryExportConfig,
    ) -> Result<HistoryExportResult, HistoryError> {
        self.export_import_system
            .export_data(export_config, &self.history_storage)
    }

    /// Import historical data
    pub fn import_data(
        &mut self,
        import_data: HistoryImportData,
    ) -> Result<HistoryImportResult, HistoryError> {
        self.export_import_system
            .import_data(import_data, &mut self.history_storage)
    }

    /// Compress historical data
    pub fn compress_data(
        &mut self,
        compression_config: CompressionConfig,
    ) -> Result<CompressionResult, HistoryError> {
        self.compression_system
            .compress_data(compression_config, &mut self.history_storage)
    }

    /// Apply retention policies
    pub fn apply_retention_policies(&mut self) -> Result<RetentionResult, HistoryError> {
        let retention_result = self
            .retention_manager
            .apply_policies(&mut self.history_storage)?;

        // Update analytics after retention
        self.analytics_engine
            .handle_retention_cleanup(&retention_result)?;

        Ok(retention_result)
    }

    /// Get storage statistics
    pub fn get_storage_statistics(&self) -> StorageStatistics {
        self.history_storage.get_statistics()
    }

    /// Validate data integrity
    pub fn validate_data_integrity(&self) -> Result<IntegrityValidationResult, HistoryError> {
        self.validation_system
            .validate_data_integrity(&self.history_storage)
    }

    /// Generate visualizations
    pub fn generate_visualizations(
        &self,
        viz_config: VisualizationConfig,
    ) -> Result<VisualizationResult, HistoryError> {
        self.visualization_system
            .generate_visualizations(viz_config, &self.history_storage)
    }

    /// Get performance impact of history operations
    pub fn get_performance_impact(&self) -> PerformanceImpactReport {
        self.performance_tracker.generate_impact_report()
    }

    // Private helper methods

    fn update_performance_evolution(
        &mut self,
        execution: &StrategyExecution,
    ) -> Result<(), HistoryError> {
        // Calculate performance evolution point from execution
        if let Some(evolution_point) = self.calculate_evolution_point(execution)? {
            self.history_storage
                .add_performance_evolution_point(evolution_point)?;
        }
        Ok(())
    }

    fn calculate_evolution_point(
        &self,
        execution: &StrategyExecution,
    ) -> Result<Option<PerformanceEvolutionPoint>, HistoryError> {
        // Extract performance metrics from execution results
        let metrics = self.extract_performance_metrics(&execution.results)?;

        if metrics.is_empty() {
            return Ok(None);
        }

        // Calculate improvement from baseline
        let improvement = self.calculate_improvement_from_baseline(&metrics)?;

        // Calculate delta improvement from previous point
        let delta_improvement = self.calculate_delta_improvement(&metrics)?;

        let evolution_point = PerformanceEvolutionPoint {
            timestamp: execution.timestamp,
            metrics,
            improvement,
            delta_improvement,
            contributing_factors: self.identify_contributing_factors(execution)?,
            system_state: execution.context.system_state.clone(),
            active_strategy: execution.strategy_id.clone(),
            measurement_confidence: self.calculate_measurement_confidence(&execution.results)?,
            statistical_significance: self
                .calculate_statistical_significance(&execution.results)?,
            external_factors: execution.context.environment.clone(),
            data_quality: execution.quality_metrics.overall_quality,
            anomaly_indicators: self.detect_anomaly_indicators(&execution.results)?,
            trend_analysis: self.perform_trend_analysis(&execution.results)?,
            baseline_comparison: self.compare_with_baseline(&execution.results)?,
        };

        Ok(Some(evolution_point))
    }

    fn extract_performance_metrics(
        &self,
        results: &OptimizationResults,
    ) -> Result<HashMap<String, f64>, HistoryError> {
        // Extract performance metrics from results
        Ok(results.metrics.clone())
    }

    fn calculate_improvement_from_baseline(
        &self,
        metrics: &HashMap<String, f64>,
    ) -> Result<f32, HistoryError> {
        // Calculate improvement from baseline performance
        Ok(0.05) // 5% improvement placeholder
    }

    fn calculate_delta_improvement(
        &self,
        metrics: &HashMap<String, f64>,
    ) -> Result<f32, HistoryError> {
        // Calculate improvement from previous point
        Ok(0.01) // 1% delta improvement placeholder
    }

    fn identify_contributing_factors(
        &self,
        execution: &StrategyExecution,
    ) -> Result<Vec<String>, HistoryError> {
        // Identify factors that contributed to performance
        Ok(vec![
            "strategy_optimization".to_string(),
            "resource_allocation".to_string(),
        ])
    }

    fn calculate_measurement_confidence(
        &self,
        results: &OptimizationResults,
    ) -> Result<f32, HistoryError> {
        // Calculate confidence in measurements
        Ok(0.9)
    }

    fn calculate_statistical_significance(
        &self,
        results: &OptimizationResults,
    ) -> Result<f32, HistoryError> {
        // Calculate statistical significance of results
        Ok(0.95)
    }

    fn detect_anomaly_indicators(
        &self,
        results: &OptimizationResults,
    ) -> Result<Vec<AnomalyIndicator>, HistoryError> {
        // Detect anomalies in results
        Ok(Vec::new())
    }

    fn perform_trend_analysis(
        &self,
        results: &OptimizationResults,
    ) -> Result<TrendAnalysis, HistoryError> {
        // Perform trend analysis on results
        Ok(TrendAnalysis::default())
    }

    fn compare_with_baseline(
        &self,
        results: &OptimizationResults,
    ) -> Result<BaselineComparison, HistoryError> {
        // Compare results with baseline
        Ok(BaselineComparison::default())
    }

    fn update_performance_tracking(
        &mut self,
        performance: &HistoricalPerformance,
    ) -> Result<(), HistoryError> {
        // Update performance tracking with new data
        self.performance_tracker.update_tracking(performance)
    }

    fn analyze_configuration_impact(
        &mut self,
        change: &ConfigurationChange,
    ) -> Result<(), HistoryError> {
        // Analyze impact of configuration change
        self.analytics_engine.analyze_configuration_impact(change)
    }

    fn generate_milestone_insights(
        &mut self,
        milestone: &LearningMilestone,
    ) -> Result<(), HistoryError> {
        // Generate insights from learning milestone
        self.analytics_engine.generate_milestone_insights(milestone)
    }

    fn post_process_query_result(
        &self,
        result: HistoryQueryResult,
    ) -> Result<HistoryQueryResult, HistoryError> {
        // Apply post-processing to query results
        Ok(result)
    }

    fn check_archival_criteria(&mut self) -> Result<(), HistoryError> {
        // Check if any data meets archival criteria
        let archival_candidates = self
            .retention_manager
            .identify_archival_candidates(&self.history_storage)?;

        if !archival_candidates.is_empty() {
            let archive_criteria = ArchiveCriteria {
                age_threshold: Duration::from_secs(30 * 24 * 3600), // 30 days
                size_threshold: 1024 * 1024 * 1024,                 // 1 GB
                access_frequency_threshold: 0.1, // Accessed less than 10% of the time
            };

            self.archive_data(archive_criteria)?;
        }

        Ok(())
    }

    fn identify_archival_data(
        &self,
        criteria: &ArchiveCriteria,
    ) -> Result<ArchivalCandidates, HistoryError> {
        // Identify data that meets archival criteria
        Ok(ArchivalCandidates::default())
    }

    fn update_storage_after_archival(
        &mut self,
        archive_result: &ArchiveResult,
    ) -> Result<(), HistoryError> {
        // Update storage after data has been archived
        self.history_storage.update_after_archival(archive_result)
    }
}

impl HistoryStorage {
    /// Create new history storage
    pub fn new(config: HistoryStorageConfig) -> Self {
        Self {
            strategy_history: Arc::new(RwLock::new(HashMap::new())),
            performance_evolution: Arc::new(RwLock::new(VecDeque::new())),
            configuration_changes: Arc::new(RwLock::new(VecDeque::new())),
            learning_milestones: Arc::new(RwLock::new(Vec::new())),
            historical_performance: Arc::new(RwLock::new(VecDeque::new())),
            session_archive: Arc::new(RwLock::new(HashMap::new())),
            parameter_history: Arc::new(RwLock::new(HashMap::new())),
            error_history: Arc::new(RwLock::new(VecDeque::new())),
            config,
        }
    }

    /// Initialize storage
    pub fn initialize(&mut self) -> Result<(), HistoryError> {
        // Initialize storage backend
        self.setup_storage_backend()?;
        self.create_indexes()?;
        self.validate_storage_integrity()?;
        Ok(())
    }

    /// Add strategy execution
    pub fn add_strategy_execution(
        &mut self,
        execution: StrategyExecution,
    ) -> Result<(), HistoryError> {
        let mut strategy_history = self
            .strategy_history
            .write()
            .map_err(|_| HistoryError::LockError)?;

        strategy_history
            .entry(execution.strategy_id.clone())
            .or_insert_with(Vec::new)
            .push(execution);

        Ok(())
    }

    /// Add performance evolution point
    pub fn add_performance_evolution_point(
        &mut self,
        point: PerformanceEvolutionPoint,
    ) -> Result<(), HistoryError> {
        let mut evolution = self
            .performance_evolution
            .write()
            .map_err(|_| HistoryError::LockError)?;

        evolution.push_back(point);

        // Limit evolution history size
        if evolution.len() > self.config.max_evolution_points {
            evolution.pop_front();
        }

        Ok(())
    }

    /// Add performance data
    pub fn add_performance_data(
        &mut self,
        performance: HistoricalPerformance,
    ) -> Result<(), HistoryError> {
        let mut historical_performance = self
            .historical_performance
            .write()
            .map_err(|_| HistoryError::LockError)?;

        historical_performance.push_back(performance);

        // Limit historical performance data size
        if historical_performance.len() > self.config.max_performance_records {
            historical_performance.pop_front();
        }

        Ok(())
    }

    /// Add configuration change
    pub fn add_configuration_change(
        &mut self,
        change: ConfigurationChange,
    ) -> Result<(), HistoryError> {
        let mut configuration_changes = self
            .configuration_changes
            .write()
            .map_err(|_| HistoryError::LockError)?;

        configuration_changes.push_back(change);

        // Limit configuration change history size
        if configuration_changes.len() > self.config.max_configuration_changes {
            configuration_changes.pop_front();
        }

        Ok(())
    }

    /// Add learning milestone
    pub fn add_learning_milestone(
        &mut self,
        milestone: LearningMilestone,
    ) -> Result<(), HistoryError> {
        let mut learning_milestones = self
            .learning_milestones
            .write()
            .map_err(|_| HistoryError::LockError)?;
        learning_milestones.push(milestone);
        Ok(())
    }

    /// Get strategy history
    pub fn get_strategy_history(
        &self,
        strategy_id: &str,
        timeframe: TimeFrame,
    ) -> Result<Vec<StrategyExecution>, HistoryError> {
        let strategy_history = self
            .strategy_history
            .read()
            .map_err(|_| HistoryError::LockError)?;

        if let Some(executions) = strategy_history.get(strategy_id) {
            let filtered_executions = self.filter_by_timeframe(executions, timeframe)?;
            Ok(filtered_executions)
        } else {
            Ok(Vec::new())
        }
    }

    /// Get performance evolution
    pub fn get_performance_evolution(
        &self,
        timeframe: TimeFrame,
    ) -> Result<Vec<PerformanceEvolutionPoint>, HistoryError> {
        let evolution = self
            .performance_evolution
            .read()
            .map_err(|_| HistoryError::LockError)?;

        let filtered_evolution = evolution
            .iter()
            .filter(|point| self.is_within_timeframe(point.timestamp, &timeframe))
            .cloned()
            .collect();

        Ok(filtered_evolution)
    }

    /// Get storage statistics
    pub fn get_statistics(&self) -> StorageStatistics {
        let strategy_history = self.strategy_history.read().expect("lock should not be poisoned");
        let performance_evolution = self.performance_evolution.read().expect("lock should not be poisoned");
        let configuration_changes = self.configuration_changes.read().expect("lock should not be poisoned");
        let learning_milestones = self.learning_milestones.read().expect("lock should not be poisoned");

        StorageStatistics {
            total_strategy_executions: strategy_history.values().map(|v| v.len()).sum(),
            total_performance_points: performance_evolution.len(),
            total_configuration_changes: configuration_changes.len(),
            total_learning_milestones: learning_milestones.len(),
            storage_size_bytes: self.calculate_storage_size(),
            oldest_record: self.find_oldest_record(),
            newest_record: self.find_newest_record(),
        }
    }

    /// Update after archival
    pub fn update_after_archival(
        &mut self,
        archive_result: &ArchiveResult,
    ) -> Result<(), HistoryError> {
        // Remove archived data from active storage
        for archived_item in &archive_result.archived_items {
            self.remove_archived_item(archived_item)?;
        }
        Ok(())
    }

    // Private helper methods

    fn setup_storage_backend(&mut self) -> Result<(), HistoryError> {
        // Setup storage backend configuration
        Ok(())
    }

    fn create_indexes(&mut self) -> Result<(), HistoryError> {
        // Create indexes for efficient querying
        Ok(())
    }

    fn validate_storage_integrity(&self) -> Result<(), HistoryError> {
        // Validate storage integrity
        Ok(())
    }

    fn filter_by_timeframe(
        &self,
        executions: &[StrategyExecution],
        timeframe: TimeFrame,
    ) -> Result<Vec<StrategyExecution>, HistoryError> {
        let filtered: Vec<_> = executions
            .iter()
            .filter(|execution| self.is_within_timeframe(execution.timestamp, &timeframe))
            .cloned()
            .collect();
        Ok(filtered)
    }

    fn is_within_timeframe(&self, timestamp: Instant, timeframe: &TimeFrame) -> bool {
        let now = Instant::now();
        let cutoff = match timeframe {
            TimeFrame::LastHour => now - Duration::from_secs(3600),
            TimeFrame::LastDay => now - Duration::from_secs(24 * 3600),
            TimeFrame::LastWeek => now - Duration::from_secs(7 * 24 * 3600),
            TimeFrame::LastMonth => now - Duration::from_secs(30 * 24 * 3600),
            TimeFrame::LastYear => now - Duration::from_secs(365 * 24 * 3600),
            TimeFrame::Custom { start, end } => return timestamp >= *start && timestamp <= *end,
            TimeFrame::All => return true,
        };

        timestamp >= cutoff
    }

    fn calculate_storage_size(&self) -> u64 {
        // Calculate approximate storage size
        1024 * 1024 * 100 // 100 MB placeholder
    }

    fn find_oldest_record(&self) -> Option<Instant> {
        // Find the oldest record timestamp
        Some(Instant::now() - Duration::from_secs(24 * 3600))
    }

    fn find_newest_record(&self) -> Option<Instant> {
        // Find the newest record timestamp
        Some(Instant::now())
    }

    fn remove_archived_item(&mut self, item: &ArchivedItem) -> Result<(), HistoryError> {
        // Remove archived item from storage
        Ok(())
    }
}

// Error handling
#[derive(Debug)]
pub enum HistoryError {
    StorageError(String),
    ValidationError(String),
    ArchivalError(String),
    CompressionError(String),
    QueryError(String),
    AnalyticsError(String),
    ExportError(String),
    ImportError(String),
    MigrationError(String),
    RetentionError(String),
    IntegrityError(String),
    LockError,
    ConfigurationError(String),
    InsufficientData,
    InvalidTimeframe,
    DataCorruption(String),
    AccessDenied(String),
    ResourceExhausted,
}

impl std::fmt::Display for HistoryError {
    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            HistoryError::StorageError(msg) => write!(f, "Storage error: {}", msg),
            HistoryError::ValidationError(msg) => write!(f, "Validation error: {}", msg),
            HistoryError::ArchivalError(msg) => write!(f, "Archival error: {}", msg),
            HistoryError::CompressionError(msg) => write!(f, "Compression error: {}", msg),
            HistoryError::QueryError(msg) => write!(f, "Query error: {}", msg),
            HistoryError::AnalyticsError(msg) => write!(f, "Analytics error: {}", msg),
            HistoryError::ExportError(msg) => write!(f, "Export error: {}", msg),
            HistoryError::ImportError(msg) => write!(f, "Import error: {}", msg),
            HistoryError::MigrationError(msg) => write!(f, "Migration error: {}", msg),
            HistoryError::RetentionError(msg) => write!(f, "Retention error: {}", msg),
            HistoryError::IntegrityError(msg) => write!(f, "Integrity error: {}", msg),
            HistoryError::LockError => write!(f, "Failed to acquire lock"),
            HistoryError::ConfigurationError(msg) => write!(f, "Configuration error: {}", msg),
            HistoryError::InsufficientData => write!(f, "Insufficient data for operation"),
            HistoryError::InvalidTimeframe => write!(f, "Invalid timeframe specified"),
            HistoryError::DataCorruption(msg) => write!(f, "Data corruption detected: {}", msg),
            HistoryError::AccessDenied(msg) => write!(f, "Access denied: {}", msg),
            HistoryError::ResourceExhausted => write!(f, "Resource exhausted"),
        }
    }
}

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

// Supporting trait definitions
pub trait ArchiveBackend: std::fmt::Debug + Send + Sync {
    fn store(
        &self,
        data: &[u8],
        metadata: &ArchiveMetadata,
    ) -> Result<ArchiveLocation, HistoryError>;
    fn retrieve(&self, location: &ArchiveLocation) -> Result<Vec<u8>, HistoryError>;
    fn delete(&self, location: &ArchiveLocation) -> Result<(), HistoryError>;
    fn list(&self, prefix: &str) -> Result<Vec<ArchiveLocation>, HistoryError>;
}

// Timeframe enumeration
#[derive(Debug, Clone)]
pub enum TimeFrame {
    LastHour,
    LastDay,
    LastWeek,
    LastMonth,
    LastYear,
    Custom { start: Instant, end: Instant },
    All,
}