quantrs2-device 0.1.3

Quantum device connectors for the QuantRS2 framework
Documentation
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//! Data Management for Performance Analytics Dashboard
//!
//! This module contains all data structures, metrics, and data management
//! functionality for the dashboard.

use super::config::{AggregationLevel, PerformanceDashboardConfig};
use crate::{DeviceError, DeviceResult};
use scirs2_core::ndarray::Array2;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::time::{Duration, SystemTime};
use tokio::sync::mpsc;

/// Comprehensive dashboard data structure
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DashboardData {
    /// Current real-time metrics
    pub realtime_metrics: RealtimeMetrics,
    /// Historical performance data
    pub historical_data: HistoricalData,
    /// Statistical analysis results
    pub statistical_analysis: StatisticalAnalysisResults,
    /// Trend analysis results
    pub trend_analysis: TrendAnalysisResults,
    /// Anomaly detection results
    pub anomaly_detection: AnomalyDetectionResults,
    /// Performance predictions
    pub predictions: PerformancePredictions,
    /// Alert status
    pub alert_status: AlertStatus,
    /// System health indicators
    pub system_health: SystemHealthIndicators,
}

/// Real-time metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RealtimeMetrics {
    /// Current timestamp
    pub timestamp: u64,
    /// Device performance metrics
    pub device_metrics: DeviceMetrics,
    /// Circuit execution metrics
    pub circuit_metrics: CircuitMetrics,
    /// Resource utilization metrics
    pub resource_metrics: ResourceMetrics,
    /// Quality metrics
    pub quality_metrics: QualityMetrics,
    /// Throughput metrics
    pub throughput_metrics: ThroughputMetrics,
}

/// Historical performance data
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HistoricalData {
    /// Time series data for different aggregation levels
    pub time_series: HashMap<AggregationLevel, TimeSeriesData>,
    /// Performance evolution
    pub performance_evolution: PerformanceEvolution,
    /// Comparative analysis
    pub comparative_analysis: ComparativeAnalysis,
    /// Benchmark results
    pub benchmark_results: BenchmarkResults,
}

/// Statistical analysis results
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct StatisticalAnalysisResults {
    /// Descriptive statistics
    pub descriptive_stats: DescriptiveStatistics,
    /// Distribution analysis
    pub distribution_analysis: DistributionAnalysis,
    /// Correlation analysis
    pub correlation_analysis: CorrelationAnalysis,
    /// Hypothesis testing results
    pub hypothesis_tests: HypothesisTestResults,
    /// Confidence intervals
    pub confidence_intervals: ConfidenceIntervals,
}

/// Trend analysis results
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrendAnalysisResults {
    /// Trend direction for each metric
    pub trend_directions: HashMap<String, TrendDirection>,
    /// Trend strength
    pub trend_strengths: HashMap<String, f64>,
    /// Seasonal patterns
    pub seasonal_patterns: SeasonalPatterns,
    /// Change point detection
    pub change_points: ChangePointDetection,
    /// Forecasting results
    pub forecasts: ForecastingResults,
}

/// Anomaly detection results
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AnomalyDetectionResults {
    /// Current anomalies
    pub current_anomalies: Vec<Anomaly>,
    /// Anomaly history
    pub anomaly_history: Vec<HistoricalAnomaly>,
    /// Anomaly patterns
    pub anomaly_patterns: AnomalyPatterns,
    /// Root cause analysis
    pub root_cause_analysis: RootCauseAnalysis,
}

/// Performance predictions
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PerformancePredictions {
    /// Short-term predictions (next hour)
    pub short_term: PredictionResults,
    /// Medium-term predictions (next day)
    pub medium_term: PredictionResults,
    /// Long-term predictions (next week)
    pub long_term: PredictionResults,
    /// Prediction accuracy metrics
    pub accuracy_metrics: PredictionAccuracy,
    /// Model performance
    pub model_performance: ModelPerformance,
}

/// Alert status
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertStatus {
    /// Active alerts
    pub active_alerts: Vec<ActiveAlert>,
    /// Recently resolved alerts
    pub recent_alerts: Vec<ResolvedAlert>,
    /// Alert statistics
    pub alert_statistics: AlertStatistics,
    /// Alert trends
    pub alert_trends: AlertTrends,
}

/// System health indicators
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SystemHealthIndicators {
    /// Overall health score
    pub overall_health_score: f64,
    /// Component health scores
    pub component_health: HashMap<String, f64>,
    /// Health trends
    pub health_trends: HealthTrends,
    /// Performance indicators
    pub performance_indicators: PerformanceIndicators,
    /// Capacity utilization
    pub capacity_utilization: CapacityUtilization,
}

/// Device performance metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeviceMetrics {
    pub fidelity: f64,
    pub error_rate: f64,
    pub coherence_time: f64,
    pub gate_time: f64,
    pub readout_fidelity: f64,
    pub cross_talk: f64,
    pub temperature: f64,
    pub uptime: f64,
}

/// Circuit execution metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CircuitMetrics {
    pub depth: f64,
    pub gate_count: HashMap<String, usize>,
    pub execution_time: f64,
    pub success_rate: f64,
    pub optimization_ratio: f64,
    pub compilation_time: f64,
}

/// Resource utilization metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceMetrics {
    pub cpu_utilization: f64,
    pub memory_utilization: f64,
    pub network_utilization: f64,
    pub quantum_utilization: f64,
    pub storage_utilization: f64,
    pub cost_efficiency: f64,
}

/// Quality metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QualityMetrics {
    pub overall_quality: f64,
    pub consistency: f64,
    pub reliability: f64,
    pub accuracy: f64,
    pub precision: f64,
    pub robustness: f64,
}

/// Throughput metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ThroughputMetrics {
    pub jobs_per_hour: f64,
    pub circuits_per_minute: f64,
    pub gates_per_second: f64,
    pub queue_length: usize,
    pub average_wait_time: f64,
}

/// Time series data
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TimeSeriesData {
    pub timestamps: Vec<u64>,
    pub values: HashMap<String, Vec<f64>>,
    pub metadata: TimeSeriesMetadata,
}

/// Time series metadata
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TimeSeriesMetadata {
    pub collection_start: SystemTime,
    pub collection_end: SystemTime,
    pub sampling_rate: f64,
    pub data_quality: f64,
    pub missing_points: usize,
}

/// Performance evolution tracking
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PerformanceEvolution {
    pub performance_trends: HashMap<String, PerformanceTrend>,
    pub improvement_metrics: ImprovementMetrics,
    pub degradation_indicators: DegradationIndicators,
}

/// Performance trend
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceTrend {
    pub metric_name: String,
    pub trend_direction: TrendDirection,
    pub trend_strength: f64,
    pub confidence: f64,
    pub time_horizon: Duration,
}

/// Improvement metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ImprovementMetrics {
    pub overall_improvement_rate: f64,
    pub metric_improvements: HashMap<String, f64>,
    pub improvement_sources: Vec<ImprovementSource>,
}

/// Improvement source
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ImprovementSource {
    pub source_type: String,
    pub impact_magnitude: f64,
    pub confidence: f64,
    pub description: String,
}

/// Degradation indicators
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DegradationIndicators {
    pub degradation_alerts: Vec<DegradationAlert>,
    pub degradation_rate: f64,
    pub critical_metrics: Vec<String>,
}

/// Degradation alert
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DegradationAlert {
    pub metric_name: String,
    pub current_value: f64,
    pub baseline_value: f64,
    pub degradation_percentage: f64,
    pub severity: String,
}

/// Comparative analysis
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ComparativeAnalysis {
    pub device_comparisons: Vec<DeviceComparison>,
    pub benchmark_comparisons: Vec<BenchmarkComparison>,
    pub historical_comparisons: Vec<HistoricalComparison>,
}

/// Device comparison
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DeviceComparison {
    pub device_a: String,
    pub device_b: String,
    pub performance_differences: HashMap<String, f64>,
    pub statistical_significance: f64,
}

/// Benchmark comparison
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BenchmarkComparison {
    pub benchmark_name: String,
    pub current_score: f64,
    pub reference_score: f64,
    pub performance_ratio: f64,
    pub ranking: usize,
}

/// Historical comparison
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HistoricalComparison {
    pub time_period: String,
    pub current_metrics: HashMap<String, f64>,
    pub historical_metrics: HashMap<String, f64>,
    pub change_indicators: HashMap<String, f64>,
}

/// Benchmark results
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct BenchmarkResults {
    pub standard_benchmarks: HashMap<String, BenchmarkResult>,
    pub custom_benchmarks: HashMap<String, BenchmarkResult>,
    pub benchmark_trends: BenchmarkTrends,
}

/// Benchmark result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct BenchmarkResult {
    pub benchmark_name: String,
    pub score: f64,
    pub percentile: f64,
    pub execution_time: Duration,
    pub details: HashMap<String, f64>,
}

/// Trend direction
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub enum TrendDirection {
    Increasing,
    Decreasing,
    Stable,
    Volatile,
    Cyclical,
    Improving,
}

/// Data collector for dashboard metrics
pub struct DataCollector {
    config: PerformanceDashboardConfig,
    collection_tasks: HashMap<String, CollectionTask>,
    data_pipeline: DataPipeline,
    quality_monitor: DataQualityMonitor,
}

/// Collection task
pub struct CollectionTask {
    pub task_id: String,
    pub collection_type: CollectionType,
    pub interval: Duration,
    pub enabled: bool,
    pub last_collection: Option<SystemTime>,
}

/// Collection types
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum CollectionType {
    DeviceMetrics,
    CircuitMetrics,
    ResourceMetrics,
    QualityMetrics,
    ThroughputMetrics,
    Custom(String),
}

/// Data pipeline for processing collected data
pub struct DataPipeline {
    processing_stages: Vec<ProcessingStage>,
    output_channels: Vec<mpsc::Sender<ProcessedData>>,
}

/// Processing stage
pub struct ProcessingStage {
    pub stage_name: String,
    pub processor: Box<dyn DataProcessor + Send + Sync>,
    pub enabled: bool,
}

/// Data processor trait
pub trait DataProcessor {
    fn process(&self, data: &RawData) -> DeviceResult<ProcessedData>;
}

/// Raw data from collection
#[derive(Debug, Clone)]
pub struct RawData {
    pub timestamp: SystemTime,
    pub data_type: String,
    pub values: HashMap<String, f64>,
    pub metadata: HashMap<String, String>,
}

/// Processed data after pipeline
#[derive(Debug, Clone)]
pub struct ProcessedData {
    pub timestamp: SystemTime,
    pub data_type: String,
    pub processed_values: HashMap<String, f64>,
    pub quality_score: f64,
    pub processing_metadata: HashMap<String, String>,
}

/// Data quality monitor
pub struct DataQualityMonitor {
    quality_rules: Vec<QualityRule>,
    quality_history: Vec<QualityReport>,
}

/// Quality rule for data validation
pub struct QualityRule {
    pub rule_name: String,
    pub rule_type: QualityRuleType,
    pub threshold: f64,
    pub enabled: bool,
}

/// Quality rule types
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum QualityRuleType {
    Completeness,
    Accuracy,
    Consistency,
    Timeliness,
    Validity,
    Custom(String),
}

/// Quality report
#[derive(Debug, Clone)]
pub struct QualityReport {
    pub timestamp: SystemTime,
    pub overall_score: f64,
    pub rule_scores: HashMap<String, f64>,
    pub issues: Vec<QualityIssue>,
}

/// Quality issue
#[derive(Debug, Clone)]
pub struct QualityIssue {
    pub issue_type: String,
    pub severity: QualityIssueSeverity,
    pub description: String,
    pub affected_data: Vec<String>,
}

/// Quality issue severity
#[derive(Debug, Clone, PartialEq, Eq)]
pub enum QualityIssueSeverity {
    Low,
    Medium,
    High,
    Critical,
}

// Implementation for key data structures

impl Default for RealtimeMetrics {
    fn default() -> Self {
        Self::new()
    }
}

impl RealtimeMetrics {
    pub fn new() -> Self {
        Self {
            // SAFETY: SystemTime::now() is always after UNIX_EPOCH
            timestamp: SystemTime::now()
                .duration_since(std::time::UNIX_EPOCH)
                .unwrap_or(Duration::ZERO)
                .as_secs(),
            device_metrics: DeviceMetrics::default(),
            circuit_metrics: CircuitMetrics::default(),
            resource_metrics: ResourceMetrics::default(),
            quality_metrics: QualityMetrics::default(),
            throughput_metrics: ThroughputMetrics::default(),
        }
    }

    pub fn update_timestamp(&mut self) {
        // SAFETY: SystemTime::now() is always after UNIX_EPOCH
        self.timestamp = SystemTime::now()
            .duration_since(std::time::UNIX_EPOCH)
            .unwrap_or(Duration::ZERO)
            .as_secs();
    }
}

impl Default for HistoricalData {
    fn default() -> Self {
        Self::new()
    }
}

impl HistoricalData {
    pub fn new() -> Self {
        Self {
            time_series: HashMap::new(),
            performance_evolution: PerformanceEvolution::default(),
            comparative_analysis: ComparativeAnalysis::default(),
            benchmark_results: BenchmarkResults::default(),
        }
    }
}

impl StatisticalAnalysisResults {
    pub fn new() -> Self {
        Self {
            descriptive_stats: DescriptiveStatistics::default(),
            distribution_analysis: DistributionAnalysis::default(),
            correlation_analysis: CorrelationAnalysis::default(),
            hypothesis_tests: HypothesisTestResults::default(),
            confidence_intervals: ConfidenceIntervals::default(),
        }
    }
}

impl PerformancePredictions {
    pub fn new() -> Self {
        Self {
            short_term: PredictionResults::default(),
            medium_term: PredictionResults::default(),
            long_term: PredictionResults::default(),
            accuracy_metrics: PredictionAccuracy::default(),
            model_performance: ModelPerformance::default(),
        }
    }
}

impl DataCollector {
    pub fn new(config: PerformanceDashboardConfig) -> Self {
        Self {
            config,
            collection_tasks: HashMap::new(),
            data_pipeline: DataPipeline::new(),
            quality_monitor: DataQualityMonitor::new(),
        }
    }

    pub async fn start_collection(&mut self) -> DeviceResult<()> {
        // Start collection tasks
        self.setup_collection_tasks().await?;

        // Start data pipeline
        self.data_pipeline.start().await?;

        // Start quality monitoring
        self.quality_monitor.start_monitoring().await?;

        Ok(())
    }

    pub async fn stop_collection(&mut self) -> DeviceResult<()> {
        // Stop collection tasks
        for task in self.collection_tasks.values_mut() {
            task.enabled = false;
        }

        // Stop data pipeline
        self.data_pipeline.stop().await?;

        // Stop quality monitoring
        self.quality_monitor.stop_monitoring().await?;

        Ok(())
    }

    async fn setup_collection_tasks(&mut self) -> DeviceResult<()> {
        // Setup device metrics collection
        self.collection_tasks.insert(
            "device_metrics".to_string(),
            CollectionTask {
                task_id: "device_metrics".to_string(),
                collection_type: CollectionType::DeviceMetrics,
                interval: Duration::from_secs(self.config.collection_interval),
                enabled: true,
                last_collection: None,
            },
        );

        // Setup other collection tasks similarly
        Ok(())
    }
}

impl Default for DataPipeline {
    fn default() -> Self {
        Self::new()
    }
}

impl DataPipeline {
    pub const fn new() -> Self {
        Self {
            processing_stages: Vec::new(),
            output_channels: Vec::new(),
        }
    }

    pub async fn start(&self) -> DeviceResult<()> {
        // Start pipeline processing
        Ok(())
    }

    pub async fn stop(&self) -> DeviceResult<()> {
        // Stop pipeline processing
        Ok(())
    }
}

impl Default for DataQualityMonitor {
    fn default() -> Self {
        Self::new()
    }
}

impl DataQualityMonitor {
    pub const fn new() -> Self {
        Self {
            quality_rules: Vec::new(),
            quality_history: Vec::new(),
        }
    }

    pub async fn start_monitoring(&self) -> DeviceResult<()> {
        // Start quality monitoring
        Ok(())
    }

    pub async fn stop_monitoring(&self) -> DeviceResult<()> {
        // Stop quality monitoring
        Ok(())
    }
}

// Default implementations for key structures

impl Default for DeviceMetrics {
    fn default() -> Self {
        Self {
            fidelity: 0.95,
            error_rate: 0.01,
            coherence_time: 100.0,
            gate_time: 20.0,
            readout_fidelity: 0.98,
            cross_talk: 0.01,
            temperature: 0.01,
            uptime: 0.99,
        }
    }
}

impl Default for CircuitMetrics {
    fn default() -> Self {
        Self {
            depth: 10.0,
            gate_count: HashMap::new(),
            execution_time: 1000.0,
            success_rate: 0.95,
            optimization_ratio: 0.8,
            compilation_time: 100.0,
        }
    }
}

impl Default for ResourceMetrics {
    fn default() -> Self {
        Self {
            cpu_utilization: 0.5,
            memory_utilization: 0.6,
            network_utilization: 0.3,
            quantum_utilization: 0.8,
            storage_utilization: 0.4,
            cost_efficiency: 0.7,
        }
    }
}

impl Default for QualityMetrics {
    fn default() -> Self {
        Self {
            overall_quality: 0.9,
            consistency: 0.85,
            reliability: 0.95,
            accuracy: 0.92,
            precision: 0.88,
            robustness: 0.87,
        }
    }
}

impl Default for ThroughputMetrics {
    fn default() -> Self {
        Self {
            jobs_per_hour: 100.0,
            circuits_per_minute: 10.0,
            gates_per_second: 1000.0,
            queue_length: 5,
            average_wait_time: 30.0,
        }
    }
}

// Missing type definitions
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct DescriptiveStatistics {
    pub metrics_stats: HashMap<String, f64>,
    pub summary_statistics: SummaryStatistics,
    pub distribution_summaries: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct DistributionAnalysis {
    pub distribution_fits: HashMap<String, String>,
    pub goodness_of_fit: HashMap<String, f64>,
    pub distribution_parameters: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CorrelationAnalysis {
    pub correlationmatrix: Array2<f64>,
    pub correlation_significance: HashMap<String, f64>,
    pub causal_relationships: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct HypothesisTestResults {
    pub test_results: HashMap<String, f64>,
    pub significance_levels: HashMap<String, f64>,
    pub effect_sizes: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ConfidenceIntervals {
    pub intervals: HashMap<String, (f64, f64)>,
    pub confidence_levels: HashMap<String, f64>,
    pub interval_interpretations: HashMap<String, String>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct SeasonalPatterns {
    pub seasonal_components: HashMap<String, Vec<f64>>,
    pub seasonal_strength: HashMap<String, f64>,
    pub seasonal_periods: HashMap<String, usize>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ChangePointDetection {
    pub change_points: Vec<u64>,
    pub change_magnitudes: Vec<f64>,
    pub change_types: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ForecastingResults {
    pub forecasts: HashMap<String, Vec<f64>>,
    pub forecast_intervals: HashMap<String, Vec<(f64, f64)>>,
    pub forecast_accuracy: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Anomaly {
    pub timestamp: u64,
    pub metric_name: String,
    pub anomaly_score: f64,
    pub anomaly_type: String,
    pub description: String,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct HistoricalAnomaly {
    pub anomaly: Anomaly,
    pub resolution_time: Option<u64>,
    pub impact_assessment: String,
    pub lessons_learned: String,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct AnomalyPatterns {
    pub recurring_anomalies: Vec<String>,
    pub anomaly_frequencies: HashMap<String, f64>,
    pub anomaly_correlations: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct RootCauseAnalysis {
    pub potential_causes: Vec<String>,
    pub cause_probabilities: HashMap<String, f64>,
    pub investigation_steps: Vec<String>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct BenchmarkTrends {
    pub trend_directions: HashMap<String, String>,
    pub improvement_rates: HashMap<String, f64>,
    pub benchmark_stability: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PredictionAccuracy {
    pub accuracy_metrics: HashMap<String, f64>,
    pub model_comparison: ModelComparison,
    pub prediction_reliability: PredictionReliability,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ModelPerformance {
    pub model_scores: HashMap<String, f64>,
    pub feature_importance: HashMap<String, f64>,
    pub model_diagnostics: ModelDiagnostics,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ActiveAlert {
    pub alert_id: String,
    pub metric_name: String,
    pub severity: String,
    pub timestamp: u64,
    pub description: String,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ResolvedAlert {
    pub alert_id: String,
    pub resolution_time: u64,
    pub resolution_method: String,
    pub notes: String,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct AlertStatistics {
    pub total_alerts: usize,
    pub alerts_by_severity: HashMap<String, usize>,
    pub resolution_times: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct AlertTrends {
    pub frequency_trends: HashMap<String, f64>,
    pub severity_trends: HashMap<String, f64>,
    pub resolution_trends: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HealthTrends {
    pub overall_trend: String,
    pub component_trends: HashMap<String, String>,
    pub trend_confidence: f64,
}

#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PerformanceIndicators {
    pub key_indicators: HashMap<String, f64>,
    pub indicator_status: HashMap<String, String>,
    pub thresholds: HashMap<String, f64>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CapacityUtilization {
    pub current_capacity: HashMap<String, f64>,
    pub peak_capacity: HashMap<String, f64>,
    pub utilization_efficiency: f64,
}

// Placeholder implementations for complex types
impl Default for CorrelationAnalysis {
    fn default() -> Self {
        Self {
            correlationmatrix: Array2::zeros((0, 0)),
            correlation_significance: HashMap::new(),
            causal_relationships: Vec::new(),
        }
    }
}
impl Default for ImprovementMetrics {
    fn default() -> Self {
        Self {
            overall_improvement_rate: 0.0,
            metric_improvements: HashMap::new(),
            improvement_sources: Vec::new(),
        }
    }
}
impl Default for DegradationIndicators {
    fn default() -> Self {
        Self {
            degradation_alerts: Vec::new(),
            degradation_rate: 0.0,
            critical_metrics: Vec::new(),
        }
    }
}

// Default implementations for newly defined types
impl Default for Anomaly {
    fn default() -> Self {
        Self {
            timestamp: 0,
            metric_name: String::new(),
            anomaly_score: 0.0,
            anomaly_type: String::new(),
            description: String::new(),
        }
    }
}
impl Default for HealthTrends {
    fn default() -> Self {
        Self {
            overall_trend: String::new(),
            component_trends: HashMap::new(),
            trend_confidence: 0.0,
        }
    }
}
impl Default for CapacityUtilization {
    fn default() -> Self {
        Self {
            current_capacity: HashMap::new(),
            peak_capacity: HashMap::new(),
            utilization_efficiency: 0.0,
        }
    }
}

// Additional placeholder types
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct SummaryStatistics {
    pub mean: f64,
    pub std: f64,
    pub min: f64,
    pub max: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ModelInfo {
    pub model_type: String,
    pub parameters: HashMap<String, f64>,
}
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ModelComparison {
    pub models: Vec<String>,
    pub scores: Vec<f64>,
}
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PredictionReliability {
    pub reliability_score: f64,
    pub uncertainty: f64,
}
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct ModelDiagnostics {
    pub residual_analysis: HashMap<String, f64>,
    pub validation_metrics: HashMap<String, f64>,
}
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PredictionResults {
    pub predictions: HashMap<String, f64>,
    pub confidence_intervals: HashMap<String, (f64, f64)>,
    pub model_info: ModelInfo,
}