quantrs2_device/

telemetry.rs

//! Comprehensive Quantum Computing Telemetry and Monitoring System
//!
//! This module provides advanced telemetry collection, real-time monitoring,
//! and analytics for quantum computing operations. Features include performance
//! tracking, resource monitoring, error analysis, and automated alerting with
//! SciRS2-powered statistical analysis.

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

use serde::{Deserialize, Serialize};
use tokio::sync::{broadcast, mpsc};
use tokio::time::interval;

use quantrs2_circuit::prelude::*;
use quantrs2_core::{
    error::{QuantRS2Error, QuantRS2Result},
    gate::GateOp,
    qubit::QubitId,
};

// SciRS2 integration for advanced analytics
#[cfg(feature = "scirs2")]
use scirs2_stats::{
    corrcoef,
    distributions::{chi2, exponential, gamma, norm},
    kstest, kurtosis, mean, pearsonr, percentile, shapiro_wilk, skew, spearmanr, std, ttest_1samp,
    ttest_ind, var, wilcoxon, Alternative, TTestResult,
};

#[cfg(feature = "scirs2")]
use scirs2_optimize::{differential_evolution, least_squares, minimize, OptimizeResult};

// Fallback implementations
#[cfg(not(feature = "scirs2"))]
mod fallback_scirs2 {
    use scirs2_core::ndarray::{Array1, ArrayView1};

    pub fn mean(_data: &ArrayView1<f64>) -> Result<f64, String> {
        Ok(0.0)
    }
    pub fn std(_data: &ArrayView1<f64>, _ddof: i32) -> Result<f64, String> {
        Ok(1.0)
    }
    pub fn var(_data: &ArrayView1<f64>, _ddof: i32) -> Result<f64, String> {
        Ok(1.0)
    }
    pub fn percentile(_data: &ArrayView1<f64>, _q: f64) -> Result<f64, String> {
        Ok(0.0)
    }
}

#[cfg(not(feature = "scirs2"))]
use fallback_scirs2::*;

use scirs2_core::ndarray::{Array1, Array2, ArrayView1};

use crate::{
    backend_traits::BackendCapabilities, calibration::DeviceCalibration,
    topology::HardwareTopology, DeviceError, DeviceResult,
};

/// Comprehensive telemetry and monitoring system for quantum computing
pub struct QuantumTelemetrySystem {
    /// System configuration
    config: TelemetryConfig,
    /// Metric collectors
    collectors: Arc<RwLock<HashMap<String, Box<dyn MetricCollector + Send + Sync>>>>,
    /// Real-time monitoring engine
    monitor: Arc<RwLock<RealTimeMonitor>>,
    /// Analytics engine
    analytics: Arc<RwLock<TelemetryAnalytics>>,
    /// Alert manager
    alert_manager: Arc<RwLock<AlertManager>>,
    /// Data storage
    storage: Arc<RwLock<TelemetryStorage>>,
    /// Event broadcaster
    event_sender: broadcast::Sender<TelemetryEvent>,
    /// Command receiver
    command_receiver: Arc<Mutex<mpsc::UnboundedReceiver<TelemetryCommand>>>,
}

/// Configuration for telemetry system
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TelemetryConfig {
    /// Enable telemetry collection
    pub enabled: bool,
    /// Collection interval in seconds
    pub collection_interval: u64,
    /// Enable real-time monitoring
    pub enable_realtime_monitoring: bool,
    /// Enable analytics and reporting
    pub enable_analytics: bool,
    /// Enable alerting system
    pub enable_alerting: bool,
    /// Data retention configuration
    pub retention_config: RetentionConfig,
    /// Metric collection configuration
    pub metric_config: MetricConfig,
    /// Monitoring configuration
    pub monitoring_config: MonitoringConfig,
    /// Analytics configuration
    pub analytics_config: AnalyticsConfig,
    /// Alert configuration
    pub alert_config: AlertConfig,
    /// Export configuration
    pub export_config: ExportConfig,
}

/// Data retention configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RetentionConfig {
    /// Real-time data retention (hours)
    pub realtime_retention_hours: u32,
    /// Historical data retention (days)
    pub historical_retention_days: u32,
    /// Aggregated data retention (months)
    pub aggregated_retention_months: u32,
    /// Enable data compression
    pub enable_compression: bool,
    /// Archive threshold (GB)
    pub archive_threshold_gb: f64,
}

/// Metric collection configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetricConfig {
    /// Enable performance metrics
    pub enable_performance_metrics: bool,
    /// Enable resource metrics
    pub enable_resource_metrics: bool,
    /// Enable error metrics
    pub enable_error_metrics: bool,
    /// Enable cost metrics
    pub enable_cost_metrics: bool,
    /// Enable custom metrics
    pub enable_custom_metrics: bool,
    /// Metric sampling rate (0.0-1.0)
    pub sampling_rate: f64,
    /// Batch size for metric collection
    pub batch_size: usize,
}

/// Monitoring configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MonitoringConfig {
    /// Real-time dashboard refresh rate (seconds)
    pub dashboard_refresh_rate: u64,
    /// Health check interval (seconds)
    pub health_check_interval: u64,
    /// Anomaly detection sensitivity (0.0-1.0)
    pub anomaly_sensitivity: f64,
    /// Enable trend analysis
    pub enable_trend_analysis: bool,
    /// Monitoring targets
    pub monitoring_targets: Vec<MonitoringTarget>,
}

/// Analytics configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AnalyticsConfig {
    /// Enable statistical analysis
    pub enable_statistical_analysis: bool,
    /// Enable predictive analytics
    pub enable_predictive_analytics: bool,
    /// Enable correlation analysis
    pub enable_correlation_analysis: bool,
    /// Analytics processing interval (minutes)
    pub processing_interval_minutes: u64,
    /// Statistical confidence level
    pub confidence_level: f64,
    /// Prediction horizon (hours)
    pub prediction_horizon_hours: u64,
}

/// Alert configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertConfig {
    /// Enable email alerts
    pub enable_email_alerts: bool,
    /// Enable SMS alerts
    pub enable_sms_alerts: bool,
    /// Enable webhook alerts
    pub enable_webhook_alerts: bool,
    /// Enable Slack alerts
    pub enable_slack_alerts: bool,
    /// Alert thresholds
    pub thresholds: HashMap<String, AlertThreshold>,
    /// Alert escalation rules
    pub escalation_rules: Vec<EscalationRule>,
    /// Alert suppression rules
    pub suppression_rules: Vec<SuppressionRule>,
}

/// Export configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExportConfig {
    /// Enable Prometheus export
    pub enable_prometheus: bool,
    /// Enable InfluxDB export
    pub enable_influxdb: bool,
    /// Enable Grafana export
    pub enable_grafana: bool,
    /// Enable custom exports
    pub enable_custom_exports: bool,
    /// Export endpoints
    pub export_endpoints: HashMap<String, ExportEndpoint>,
}

/// Monitoring target specification
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MonitoringTarget {
    /// Target name
    pub name: String,
    /// Target type
    pub target_type: MonitoringTargetType,
    /// Metrics to monitor
    pub metrics: Vec<String>,
    /// Monitoring frequency
    pub frequency: Duration,
    /// Health check configuration
    pub health_check: Option<HealthCheckConfig>,
}

/// Types of monitoring targets
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MonitoringTargetType {
    Device,
    Circuit,
    Job,
    Provider,
    Resource,
    Application,
    Custom(String),
}

/// Health check configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HealthCheckConfig {
    /// Check endpoint or identifier
    pub endpoint: String,
    /// Timeout for health check
    pub timeout: Duration,
    /// Expected response pattern
    pub expected_response: Option<String>,
    /// Health criteria
    pub criteria: Vec<HealthCriterion>,
}

/// Health check criterion
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HealthCriterion {
    /// Metric name
    pub metric: String,
    /// Comparison operator
    pub operator: ComparisonOperator,
    /// Expected value
    pub value: f64,
    /// Severity level
    pub severity: AlertSeverity,
}

/// Comparison operators for criteria
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub enum ComparisonOperator {
    GreaterThan,
    LessThan,
    Equals,
    NotEquals,
    GreaterThanOrEqual,
    LessThanOrEqual,
    Between(f64, f64),
    Outside(f64, f64),
}

/// Alert threshold specification
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertThreshold {
    /// Warning threshold
    pub warning: Option<ThresholdRule>,
    /// Critical threshold
    pub critical: Option<ThresholdRule>,
    /// Emergency threshold
    pub emergency: Option<ThresholdRule>,
}

/// Threshold rule
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ThresholdRule {
    /// Threshold value
    pub value: f64,
    /// Comparison operator
    pub operator: ComparisonOperator,
    /// Duration before triggering
    pub duration: Duration,
    /// Recovery threshold
    pub recovery_value: Option<f64>,
}

/// Alert escalation rule
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EscalationRule {
    /// Rule name
    pub name: String,
    /// Condition for escalation
    pub condition: EscalationCondition,
    /// Escalation delay
    pub delay: Duration,
    /// Target severity level
    pub target_severity: AlertSeverity,
    /// Actions to take
    pub actions: Vec<EscalationAction>,
}

/// Escalation condition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum EscalationCondition {
    UnresolvedAfter(Duration),
    RepeatedFailures(u32),
    SeverityIncrease,
    MetricThreshold(String, f64),
}

/// Escalation action
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum EscalationAction {
    NotifyAdministrator,
    TriggerAutomatedResponse,
    DisableAffectedComponent,
    IncreaseMonitoringFrequency,
    CreateIncident,
}

/// Alert suppression rule
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SuppressionRule {
    /// Rule name
    pub name: String,
    /// Suppression condition
    pub condition: SuppressionCondition,
    /// Suppression duration
    pub duration: Duration,
    /// Affected alert types
    pub alert_types: Vec<String>,
}

/// Suppression condition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SuppressionCondition {
    MaintenanceWindow,
    DuplicateAlert,
    SystemStartup(Duration),
    MetricValue(String, f64),
}

/// Export endpoint configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExportEndpoint {
    /// Endpoint URL
    pub url: String,
    /// Authentication configuration
    pub auth: Option<ExportAuth>,
    /// Export format
    pub format: ExportFormat,
    /// Export frequency
    pub frequency: Duration,
    /// Batch size
    pub batch_size: usize,
}

/// Export authentication
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ExportAuth {
    ApiKey(String),
    BasicAuth { username: String, password: String },
    BearerToken(String),
    Custom(HashMap<String, String>),
}

/// Export format
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ExportFormat {
    JSON,
    Prometheus,
    InfluxDB,
    CSV,
    Binary,
    Custom(String),
}

/// Alert severity levels
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord, Serialize, Deserialize)]
pub enum AlertSeverity {
    Info,
    Warning,
    Critical,
    Emergency,
}

/// Telemetry events
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TelemetryEvent {
    MetricCollected {
        metric_name: String,
        value: f64,
        timestamp: SystemTime,
        metadata: HashMap<String, String>,
    },
    AlertTriggered {
        alert_id: String,
        severity: AlertSeverity,
        message: String,
        timestamp: SystemTime,
    },
    AlertResolved {
        alert_id: String,
        timestamp: SystemTime,
    },
    AnomalyDetected {
        metric_name: String,
        anomaly_score: f64,
        timestamp: SystemTime,
    },
    HealthCheckFailed {
        target: String,
        reason: String,
        timestamp: SystemTime,
    },
    SystemStatusChanged {
        component: String,
        old_status: SystemStatus,
        new_status: SystemStatus,
        timestamp: SystemTime,
    },
}

/// Telemetry commands
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum TelemetryCommand {
    StartCollection,
    StopCollection,
    CollectMetric(String),
    UpdateConfig(TelemetryConfig),
    TriggerAnalysis,
    GenerateReport(ReportType),
    ExportData(ExportFormat, String),
    TestAlert(String),
    SetMaintenanceMode(bool),
}

/// System status enumeration
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum SystemStatus {
    Healthy,
    Degraded,
    Critical,
    Offline,
    Maintenance,
    Unknown,
}

/// Report types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ReportType {
    Performance,
    Resource,
    Error,
    Cost,
    Health,
    Security,
    Comprehensive,
}

/// Metric collector trait
pub trait MetricCollector: Send + Sync {
    /// Collect metrics
    fn collect(&self) -> DeviceResult<Vec<Metric>>;

    /// Get collector name
    fn name(&self) -> &str;

    /// Get collection interval
    fn interval(&self) -> Duration;

    /// Check if collector is enabled
    fn is_enabled(&self) -> bool;
}

/// Individual metric
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Metric {
    /// Metric name
    pub name: String,
    /// Metric value
    pub value: f64,
    /// Metric unit
    pub unit: String,
    /// Metric type
    pub metric_type: MetricType,
    /// Timestamp
    pub timestamp: SystemTime,
    /// Labels/tags
    pub labels: HashMap<String, String>,
    /// Metadata
    pub metadata: HashMap<String, String>,
}

/// Types of metrics
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MetricType {
    Counter,
    Gauge,
    Histogram,
    Summary,
    Timer,
    Custom(String),
}

/// Real-time monitoring engine
pub struct RealTimeMonitor {
    /// Monitoring configuration
    config: MonitoringConfig,
    /// Current metrics
    current_metrics: HashMap<String, MetricSnapshot>,
    /// Metric history for trend analysis
    metric_history: HashMap<String, VecDeque<MetricSnapshot>>,
    /// Anomaly detectors
    anomaly_detectors: HashMap<String, Box<dyn AnomalyDetector + Send + Sync>>,
    /// Health status cache
    health_status: HashMap<String, HealthStatus>,
    /// Alert suppression state
    suppression_state: HashMap<String, SystemTime>,
}

/// Metric snapshot
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetricSnapshot {
    /// Metric value
    pub value: f64,
    /// Timestamp
    pub timestamp: SystemTime,
    /// Change rate (per second)
    pub rate: Option<f64>,
    /// Trend direction
    pub trend: TrendDirection,
    /// Anomaly score
    pub anomaly_score: Option<f64>,
}

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

/// Health status
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HealthStatus {
    /// Overall status
    pub status: SystemStatus,
    /// Last check time
    pub last_check: SystemTime,
    /// Status details
    pub details: HashMap<String, String>,
    /// Health score (0.0-1.0)
    pub health_score: f64,
    /// Issues detected
    pub issues: Vec<HealthIssue>,
}

/// Health issue
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct HealthIssue {
    /// Issue description
    pub description: String,
    /// Severity
    pub severity: AlertSeverity,
    /// First detected
    pub first_detected: SystemTime,
    /// Last seen
    pub last_seen: SystemTime,
    /// Occurrence count
    pub count: u32,
}

/// Anomaly detector trait
pub trait AnomalyDetector: Send + Sync {
    /// Detect anomalies in metric data
    fn detect(&self, data: &[f64]) -> Vec<AnomalyResult>;

    /// Update detector with new data
    fn update(&mut self, data: &[f64]);

    /// Get detector configuration
    fn config(&self) -> AnomalyDetectorConfig;
}

/// Anomaly detection result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AnomalyResult {
    /// Anomaly score (0.0-1.0)
    pub score: f64,
    /// Anomaly type
    pub anomaly_type: AnomalyType,
    /// Data point index
    pub index: usize,
    /// Confidence level
    pub confidence: f64,
    /// Description
    pub description: String,
}

/// Types of anomalies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AnomalyType {
    Outlier,
    ChangePoint,
    Drift,
    Seasonality,
    Spike,
    Drop,
    Pattern,
    Custom(String),
}

/// Anomaly detector configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AnomalyDetectorConfig {
    /// Detector type
    pub detector_type: AnomalyDetectorType,
    /// Sensitivity threshold
    pub sensitivity: f64,
    /// Window size
    pub window_size: usize,
    /// Training period
    pub training_period: Duration,
    /// Parameters
    pub parameters: HashMap<String, f64>,
}

/// Anomaly detector types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AnomalyDetectorType {
    Statistical,
    MachineLearning,
    Threshold,
    Isolation,
    LSTM,
    AutoEncoder,
    Custom(String),
}

/// Telemetry analytics engine
#[derive(Debug)]
pub struct TelemetryAnalytics {
    /// Analytics configuration
    config: AnalyticsConfig,
    /// Statistical models
    statistical_models: HashMap<String, StatisticalModel>,
    /// Predictive models
    predictive_models: HashMap<String, PredictiveModel>,
    /// Correlation matrices
    correlation_matrices: HashMap<String, Array2<f64>>,
    /// Trend analysis results
    trend_analysis: HashMap<String, TrendAnalysis>,
    /// Pattern recognition results
    patterns: HashMap<String, Vec<Pattern>>,
}

/// Statistical model
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StatisticalModel {
    /// Model type
    pub model_type: StatisticalModelType,
    /// Model parameters
    pub parameters: HashMap<String, f64>,
    /// Goodness of fit metrics
    pub fit_metrics: FitMetrics,
    /// Last updated
    pub last_updated: SystemTime,
    /// Training data size
    pub training_size: usize,
}

/// Statistical model types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum StatisticalModelType {
    Normal,
    Exponential,
    Gamma,
    ChiSquared,
    Weibull,
    Beta,
    LogNormal,
    Custom(String),
}

/// Model fit metrics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FitMetrics {
    /// R-squared value
    pub r_squared: f64,
    /// AIC (Akaike Information Criterion)
    pub aic: f64,
    /// BIC (Bayesian Information Criterion)
    pub bic: f64,
    /// Log-likelihood
    pub log_likelihood: f64,
    /// P-value for goodness of fit test
    pub p_value: f64,
}

/// Predictive model
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PredictiveModel {
    /// Model type
    pub model_type: PredictiveModelType,
    /// Model parameters
    pub parameters: Array1<f64>,
    /// Model accuracy
    pub accuracy: f64,
    /// Feature importance
    pub feature_importance: HashMap<String, f64>,
    /// Last trained
    pub last_trained: SystemTime,
}

/// Predictive model types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum PredictiveModelType {
    LinearRegression,
    PolynomialRegression,
    ExponentialSmoothing,
    ARIMA,
    NeuralNetwork,
    RandomForest,
    Custom(String),
}

/// Trend analysis result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TrendAnalysis {
    /// Trend direction
    pub direction: TrendDirection,
    /// Trend strength (0.0-1.0)
    pub strength: f64,
    /// Trend slope
    pub slope: f64,
    /// R-squared for trend line
    pub r_squared: f64,
    /// Confidence interval
    pub confidence_interval: (f64, f64),
    /// Projection
    pub projection: Vec<(SystemTime, f64)>,
}

/// Pattern recognition result
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Pattern {
    /// Pattern type
    pub pattern_type: PatternType,
    /// Pattern confidence
    pub confidence: f64,
    /// Pattern parameters
    pub parameters: HashMap<String, f64>,
    /// Pattern duration
    pub duration: Duration,
    /// Pattern frequency
    pub frequency: Option<Duration>,
}

/// Pattern types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum PatternType {
    Periodic,
    Cyclic,
    Seasonal,
    Trend,
    Burst,
    Anomaly,
    Custom(String),
}

/// Alert manager
pub struct AlertManager {
    /// Alert configuration
    config: AlertConfig,
    /// Active alerts
    active_alerts: HashMap<String, Alert>,
    /// Alert history
    alert_history: VecDeque<Alert>,
    /// Notification channels
    notification_channels: HashMap<String, Box<dyn NotificationChannel + Send + Sync>>,
    /// Escalation state
    escalation_state: HashMap<String, EscalationState>,
    /// Suppression state
    suppression_state: HashMap<String, SystemTime>,
}

/// Alert definition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Alert {
    /// Alert ID
    pub id: String,
    /// Alert name
    pub name: String,
    /// Alert severity
    pub severity: AlertSeverity,
    /// Alert message
    pub message: String,
    /// Affected metric
    pub metric: String,
    /// Current value
    pub current_value: f64,
    /// Threshold value
    pub threshold_value: f64,
    /// Alert state
    pub state: AlertState,
    /// First triggered
    pub first_triggered: SystemTime,
    /// Last triggered
    pub last_triggered: SystemTime,
    /// Acknowledgment info
    pub acknowledgment: Option<AlertAcknowledgment>,
    /// Metadata
    pub metadata: HashMap<String, String>,
}

/// Alert state
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AlertState {
    Triggered,
    Acknowledged,
    Resolved,
    Suppressed,
    Escalated,
}

/// Alert acknowledgment
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AlertAcknowledgment {
    /// Acknowledged by
    pub acknowledged_by: String,
    /// Acknowledgment time
    pub acknowledged_at: SystemTime,
    /// Acknowledgment message
    pub message: String,
}

/// Escalation state
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EscalationState {
    /// Current escalation level
    pub level: u32,
    /// Next escalation time
    pub next_escalation: SystemTime,
    /// Escalation history
    pub history: Vec<EscalationEvent>,
}

/// Escalation event
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EscalationEvent {
    /// Escalation time
    pub timestamp: SystemTime,
    /// Previous level
    pub from_level: u32,
    /// New level
    pub to_level: u32,
    /// Escalation reason
    pub reason: String,
    /// Actions taken
    pub actions: Vec<String>,
}

/// Notification channel trait
pub trait NotificationChannel: Send + Sync {
    /// Send notification
    fn send(&self, alert: &Alert) -> DeviceResult<()>;

    /// Get channel name
    fn name(&self) -> &str;

    /// Check if channel is enabled
    fn is_enabled(&self) -> bool;
}

/// Telemetry data storage
#[derive(Debug)]
pub struct TelemetryStorage {
    /// Storage configuration
    config: StorageConfig,
    /// Real-time metric buffer
    realtime_buffer: HashMap<String, VecDeque<Metric>>,
    /// Aggregated data cache
    aggregated_cache: HashMap<String, AggregatedData>,
    /// Time series index
    time_series_index: BTreeMap<SystemTime, Vec<String>>,
    /// Storage statistics
    statistics: StorageStatistics,
}

/// Storage configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StorageConfig {
    /// Buffer size for real-time data
    pub realtime_buffer_size: usize,
    /// Aggregation intervals
    pub aggregation_intervals: Vec<Duration>,
    /// Compression settings
    pub compression: CompressionConfig,
    /// Persistence settings
    pub persistence: PersistenceConfig,
}

/// Compression configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CompressionConfig {
    /// Enable compression
    pub enabled: bool,
    /// Compression algorithm
    pub algorithm: CompressionAlgorithm,
    /// Compression ratio threshold
    pub ratio_threshold: f64,
}

/// Compression algorithms
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum CompressionAlgorithm {
    None,
    Gzip,
    Zstd,
    Lz4,
    Snappy,
}

/// Persistence configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PersistenceConfig {
    /// Enable persistence
    pub enabled: bool,
    /// Storage backend
    pub backend: StorageBackend,
    /// Batch write size
    pub batch_size: usize,
    /// Write interval
    pub write_interval: Duration,
}

/// Storage backends
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum StorageBackend {
    Memory,
    File,
    Database,
    TimeSeries,
    Cloud,
}

impl Default for StorageConfig {
    fn default() -> Self {
        Self {
            realtime_buffer_size: 10000,
            aggregation_intervals: vec![
                Duration::from_secs(60),    // 1 minute
                Duration::from_secs(3600),  // 1 hour
                Duration::from_secs(86400), // 1 day
            ],
            compression: CompressionConfig {
                enabled: true,
                algorithm: CompressionAlgorithm::Gzip,
                ratio_threshold: 0.7,
            },
            persistence: PersistenceConfig {
                enabled: true,
                backend: StorageBackend::Memory,
                batch_size: 1000,
                write_interval: Duration::from_secs(60),
            },
        }
    }
}

/// Aggregated data
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AggregatedData {
    /// Aggregation interval
    pub interval: Duration,
    /// Statistical summary
    pub summary: StatisticalSummary,
    /// Data points
    pub data_points: Vec<(SystemTime, f64)>,
    /// Last updated
    pub last_updated: SystemTime,
}

/// Statistical summary
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StatisticalSummary {
    /// Count
    pub count: usize,
    /// Mean
    pub mean: f64,
    /// Standard deviation
    pub std_dev: f64,
    /// Minimum value
    pub min: f64,
    /// Maximum value
    pub max: f64,
    /// Percentiles
    pub percentiles: HashMap<u8, f64>,
    /// Variance
    pub variance: f64,
    /// Skewness
    pub skewness: f64,
    /// Kurtosis
    pub kurtosis: f64,
}

/// Storage statistics
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StorageStatistics {
    /// Total metrics stored
    pub total_metrics: u64,
    /// Storage size (bytes)
    pub storage_size_bytes: u64,
    /// Compression ratio
    pub compression_ratio: f64,
    /// Write rate (metrics/sec)
    pub write_rate: f64,
    /// Read rate (metrics/sec)
    pub read_rate: f64,
    /// Cache hit rate
    pub cache_hit_rate: f64,
}

impl Default for TelemetryConfig {
    fn default() -> Self {
        Self {
            enabled: true,
            collection_interval: 30, // 30 seconds
            enable_realtime_monitoring: true,
            enable_analytics: true,
            enable_alerting: true,
            retention_config: RetentionConfig {
                realtime_retention_hours: 24,
                historical_retention_days: 30,
                aggregated_retention_months: 12,
                enable_compression: true,
                archive_threshold_gb: 10.0,
            },
            metric_config: MetricConfig {
                enable_performance_metrics: true,
                enable_resource_metrics: true,
                enable_error_metrics: true,
                enable_cost_metrics: true,
                enable_custom_metrics: true,
                sampling_rate: 1.0,
                batch_size: 100,
            },
            monitoring_config: MonitoringConfig {
                dashboard_refresh_rate: 5,
                health_check_interval: 60,
                anomaly_sensitivity: 0.8,
                enable_trend_analysis: true,
                monitoring_targets: Vec::new(),
            },
            analytics_config: AnalyticsConfig {
                enable_statistical_analysis: true,
                enable_predictive_analytics: true,
                enable_correlation_analysis: true,
                processing_interval_minutes: 15,
                confidence_level: 0.95,
                prediction_horizon_hours: 24,
            },
            alert_config: AlertConfig {
                enable_email_alerts: true,
                enable_sms_alerts: false,
                enable_webhook_alerts: true,
                enable_slack_alerts: false,
                thresholds: HashMap::new(),
                escalation_rules: Vec::new(),
                suppression_rules: Vec::new(),
            },
            export_config: ExportConfig {
                enable_prometheus: true,
                enable_influxdb: false,
                enable_grafana: false,
                enable_custom_exports: false,
                export_endpoints: HashMap::new(),
            },
        }
    }
}

impl QuantumTelemetrySystem {
    /// Create a new telemetry system
    pub fn new(config: TelemetryConfig) -> Self {
        let (event_sender, _) = broadcast::channel(1000);
        let (command_sender, command_receiver) = mpsc::unbounded_channel();

        Self {
            config: config.clone(),
            collectors: Arc::new(RwLock::new(HashMap::new())),
            monitor: Arc::new(RwLock::new(RealTimeMonitor::new(
                config.monitoring_config.clone(),
            ))),
            analytics: Arc::new(RwLock::new(TelemetryAnalytics::new(
                config.analytics_config.clone(),
            ))),
            alert_manager: Arc::new(RwLock::new(AlertManager::new(config.alert_config))),
            storage: Arc::new(RwLock::new(TelemetryStorage::new(StorageConfig::default()))),
            event_sender,
            command_receiver: Arc::new(Mutex::new(command_receiver)),
        }
    }

    /// Start telemetry collection
    pub async fn start(&self) -> DeviceResult<()> {
        if !self.config.enabled {
            return Ok(());
        }

        // Start metric collection
        self.start_metric_collection().await?;

        // Start real-time monitoring
        if self.config.enable_realtime_monitoring {
            self.start_realtime_monitoring().await?;
        }

        // Start analytics processing
        if self.config.enable_analytics {
            self.start_analytics_processing().await?;
        }

        // Start alert processing
        if self.config.enable_alerting {
            self.start_alert_processing().await?;
        }

        Ok(())
    }

    /// Stop telemetry collection
    pub async fn stop(&self) -> DeviceResult<()> {
        // Implementation would stop all background tasks
        Ok(())
    }

    /// Register a metric collector
    pub fn register_collector(
        &self,
        collector: Box<dyn MetricCollector + Send + Sync>,
    ) -> DeviceResult<()> {
        let mut collectors = self.collectors.write().map_err(|e| {
            DeviceError::LockError(format!("Failed to acquire write lock on collectors: {e}"))
        })?;
        collectors.insert(collector.name().to_string(), collector);
        Ok(())
    }

    /// Collect metrics from all collectors
    pub async fn collect_metrics(&self) -> DeviceResult<Vec<Metric>> {
        let collectors = self.collectors.read().map_err(|e| {
            DeviceError::LockError(format!("Failed to acquire read lock on collectors: {e}"))
        })?;
        let mut all_metrics = Vec::new();

        for collector in collectors.values() {
            if collector.is_enabled() {
                match collector.collect() {
                    Ok(mut metrics) => all_metrics.append(&mut metrics),
                    Err(e) => {
                        // Log error but continue with other collectors
                        eprintln!(
                            "Error collecting metrics from {}: {:?}",
                            collector.name(),
                            e
                        );
                    }
                }
            }
        }

        // Store metrics
        {
            let mut storage = self.storage.write().map_err(|e| {
                DeviceError::LockError(format!("Failed to acquire write lock on storage: {e}"))
            })?;
            storage.store_metrics(&all_metrics)?;
        }

        // Send telemetry events
        for metric in &all_metrics {
            let _ = self.event_sender.send(TelemetryEvent::MetricCollected {
                metric_name: metric.name.clone(),
                value: metric.value,
                timestamp: metric.timestamp,
                metadata: metric.metadata.clone(),
            });
        }

        Ok(all_metrics)
    }

    /// Get current system health
    pub fn get_system_health(&self) -> DeviceResult<SystemHealth> {
        let monitor = self.monitor.read().map_err(|e| {
            DeviceError::LockError(format!("Failed to acquire read lock on monitor: {e}"))
        })?;
        Ok(monitor.get_system_health())
    }

    /// Generate telemetry report
    pub async fn generate_report(&self, report_type: ReportType) -> DeviceResult<TelemetryReport> {
        let analytics = self.analytics.read().map_err(|e| {
            DeviceError::LockError(format!("Failed to acquire read lock on analytics: {e}"))
        })?;
        analytics.generate_report(report_type).await
    }

    // Private implementation methods

    async fn start_metric_collection(&self) -> DeviceResult<()> {
        let interval_duration = Duration::from_secs(self.config.collection_interval);
        let mut interval = interval(interval_duration);

        // This would be spawned as a background task
        // For now, just return Ok
        Ok(())
    }

    async fn start_realtime_monitoring(&self) -> DeviceResult<()> {
        // Implementation would start real-time monitoring task
        Ok(())
    }

    async fn start_analytics_processing(&self) -> DeviceResult<()> {
        // Implementation would start analytics processing task
        Ok(())
    }

    async fn start_alert_processing(&self) -> DeviceResult<()> {
        // Implementation would start alert processing task
        Ok(())
    }
}

/// System health summary
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SystemHealth {
    /// Overall health status
    pub overall_status: SystemStatus,
    /// Component health
    pub component_health: HashMap<String, HealthStatus>,
    /// Health score (0.0-1.0)
    pub health_score: f64,
    /// Critical issues
    pub critical_issues: Vec<HealthIssue>,
    /// Last assessment time
    pub last_assessment: SystemTime,
}

/// Telemetry report
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TelemetryReport {
    /// Report type
    pub report_type: ReportType,
    /// Report period
    pub period: (SystemTime, SystemTime),
    /// Executive summary
    pub summary: ReportSummary,
    /// Detailed metrics
    pub metrics: HashMap<String, MetricReport>,
    /// Trends and insights
    pub insights: Vec<ReportInsight>,
    /// Recommendations
    pub recommendations: Vec<String>,
    /// Generated at
    pub generated_at: SystemTime,
}

/// Report summary
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ReportSummary {
    /// Key performance indicators
    pub kpis: HashMap<String, f64>,
    /// Performance highlights
    pub highlights: Vec<String>,
    /// Issues identified
    pub issues: Vec<String>,
    /// Overall assessment
    pub assessment: String,
}

/// Metric report
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetricReport {
    /// Metric name
    pub name: String,
    /// Statistical summary
    pub summary: StatisticalSummary,
    /// Trend analysis
    pub trend: TrendAnalysis,
    /// Anomalies detected
    pub anomalies: Vec<AnomalyResult>,
    /// Correlations with other metrics
    pub correlations: HashMap<String, f64>,
}

/// Report insight
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ReportInsight {
    /// Insight type
    pub insight_type: InsightType,
    /// Insight description
    pub description: String,
    /// Supporting data
    pub data: HashMap<String, f64>,
    /// Confidence level
    pub confidence: f64,
    /// Impact assessment
    pub impact: ImpactLevel,
}

/// Insight types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum InsightType {
    Performance,
    Efficiency,
    Cost,
    Reliability,
    Capacity,
    Security,
    Trend,
    Anomaly,
}

/// Impact levels
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ImpactLevel {
    Low,
    Medium,
    High,
    Critical,
}

// Implementation of component structs

impl RealTimeMonitor {
    fn new(config: MonitoringConfig) -> Self {
        Self {
            config,
            current_metrics: HashMap::new(),
            metric_history: HashMap::new(),
            anomaly_detectors: HashMap::new(),
            health_status: HashMap::new(),
            suppression_state: HashMap::new(),
        }
    }

    fn get_system_health(&self) -> SystemHealth {
        let overall_status = if self
            .health_status
            .values()
            .any(|h| h.status == SystemStatus::Critical)
        {
            SystemStatus::Critical
        } else if self
            .health_status
            .values()
            .any(|h| h.status == SystemStatus::Degraded)
        {
            SystemStatus::Degraded
        } else {
            SystemStatus::Healthy
        };

        let health_score = if self.health_status.is_empty() {
            1.0
        } else {
            self.health_status
                .values()
                .map(|h| h.health_score)
                .sum::<f64>()
                / self.health_status.len() as f64
        };

        let critical_issues: Vec<HealthIssue> = self
            .health_status
            .values()
            .flat_map(|h| {
                h.issues
                    .iter()
                    .filter(|i| i.severity == AlertSeverity::Critical)
            })
            .cloned()
            .collect();

        SystemHealth {
            overall_status,
            component_health: self.health_status.clone(),
            health_score,
            critical_issues,
            last_assessment: SystemTime::now(),
        }
    }
}

impl TelemetryAnalytics {
    fn new(config: AnalyticsConfig) -> Self {
        Self {
            config,
            statistical_models: HashMap::new(),
            predictive_models: HashMap::new(),
            correlation_matrices: HashMap::new(),
            trend_analysis: HashMap::new(),
            patterns: HashMap::new(),
        }
    }

    async fn generate_report(&self, report_type: ReportType) -> DeviceResult<TelemetryReport> {
        // Implementation would generate comprehensive reports
        // For now, return a basic report structure
        Ok(TelemetryReport {
            report_type,
            period: (
                SystemTime::now() - Duration::from_secs(86400), // 24 hours ago
                SystemTime::now(),
            ),
            summary: ReportSummary {
                kpis: HashMap::new(),
                highlights: vec!["System performing within normal parameters".to_string()],
                issues: Vec::new(),
                assessment: "Good".to_string(),
            },
            metrics: HashMap::new(),
            insights: Vec::new(),
            recommendations: Vec::new(),
            generated_at: SystemTime::now(),
        })
    }
}

impl AlertManager {
    fn new(config: AlertConfig) -> Self {
        Self {
            config,
            active_alerts: HashMap::new(),
            alert_history: VecDeque::new(),
            notification_channels: HashMap::new(),
            escalation_state: HashMap::new(),
            suppression_state: HashMap::new(),
        }
    }
}

impl TelemetryStorage {
    fn new(config: StorageConfig) -> Self {
        Self {
            config,
            realtime_buffer: HashMap::new(),
            aggregated_cache: HashMap::new(),
            time_series_index: BTreeMap::new(),
            statistics: StorageStatistics {
                total_metrics: 0,
                storage_size_bytes: 0,
                compression_ratio: 1.0,
                write_rate: 0.0,
                read_rate: 0.0,
                cache_hit_rate: 0.0,
            },
        }
    }

    fn store_metrics(&mut self, metrics: &[Metric]) -> DeviceResult<()> {
        for metric in metrics {
            // Store in real-time buffer
            let buffer = self.realtime_buffer.entry(metric.name.clone()).or_default();
            buffer.push_back(metric.clone());

            // Limit buffer size
            while buffer.len() > self.config.realtime_buffer_size {
                buffer.pop_front();
            }

            // Update time series index
            let metric_names = self.time_series_index.entry(metric.timestamp).or_default();
            metric_names.push(metric.name.clone());
        }

        // Update statistics
        self.statistics.total_metrics += metrics.len() as u64;

        Ok(())
    }
}

/// Create a default telemetry system
pub fn create_telemetry_system() -> QuantumTelemetrySystem {
    QuantumTelemetrySystem::new(TelemetryConfig::default())
}

/// Create a high-performance telemetry configuration
pub fn create_high_performance_telemetry_config() -> TelemetryConfig {
    TelemetryConfig {
        enabled: true,
        collection_interval: 10, // 10 seconds
        enable_realtime_monitoring: true,
        enable_analytics: true,
        enable_alerting: true,
        retention_config: RetentionConfig {
            realtime_retention_hours: 48,
            historical_retention_days: 90,
            aggregated_retention_months: 24,
            enable_compression: true,
            archive_threshold_gb: 50.0,
        },
        metric_config: MetricConfig {
            enable_performance_metrics: true,
            enable_resource_metrics: true,
            enable_error_metrics: true,
            enable_cost_metrics: true,
            enable_custom_metrics: true,
            sampling_rate: 1.0,
            batch_size: 500,
        },
        monitoring_config: MonitoringConfig {
            dashboard_refresh_rate: 1,
            health_check_interval: 30,
            anomaly_sensitivity: 0.9,
            enable_trend_analysis: true,
            monitoring_targets: Vec::new(),
        },
        analytics_config: AnalyticsConfig {
            enable_statistical_analysis: true,
            enable_predictive_analytics: true,
            enable_correlation_analysis: true,
            processing_interval_minutes: 5,
            confidence_level: 0.99,
            prediction_horizon_hours: 72,
        },
        alert_config: AlertConfig {
            enable_email_alerts: true,
            enable_sms_alerts: true,
            enable_webhook_alerts: true,
            enable_slack_alerts: true,
            thresholds: HashMap::new(),
            escalation_rules: Vec::new(),
            suppression_rules: Vec::new(),
        },
        export_config: ExportConfig {
            enable_prometheus: true,
            enable_influxdb: true,
            enable_grafana: true,
            enable_custom_exports: true,
            export_endpoints: HashMap::new(),
        },
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_telemetry_config_default() {
        let config = TelemetryConfig::default();
        assert!(config.enabled);
        assert_eq!(config.collection_interval, 30);
        assert!(config.enable_realtime_monitoring);
        assert!(config.enable_analytics);
        assert!(config.enable_alerting);
    }

    #[test]
    fn test_metric_creation() {
        let metric = Metric {
            name: "test_metric".to_string(),
            value: 42.0,
            unit: "units".to_string(),
            metric_type: MetricType::Gauge,
            timestamp: SystemTime::now(),
            labels: HashMap::new(),
            metadata: HashMap::new(),
        };

        assert_eq!(metric.name, "test_metric");
        assert_eq!(metric.value, 42.0);
        assert_eq!(metric.metric_type, MetricType::Gauge);
    }

    #[test]
    fn test_telemetry_system_creation() {
        let config = TelemetryConfig::default();
        let system = QuantumTelemetrySystem::new(config);
        // System should be created successfully
    }

    #[test]
    fn test_alert_severity_ordering() {
        assert!(AlertSeverity::Info < AlertSeverity::Warning);
        assert!(AlertSeverity::Warning < AlertSeverity::Critical);
        assert!(AlertSeverity::Critical < AlertSeverity::Emergency);
    }

    #[tokio::test]
    async fn test_telemetry_start_stop() {
        let config = TelemetryConfig::default();
        let system = QuantumTelemetrySystem::new(config);

        let start_result = system.start().await;
        assert!(start_result.is_ok());

        let stop_result = system.stop().await;
        assert!(stop_result.is_ok());
    }
}