quantrs2-device 0.1.3

Quantum device connectors for the QuantRS2 framework
Documentation
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//! Auto-generated module
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use crate::{
    backend_traits::BackendCapabilities, calibration::DeviceCalibration,
    topology::HardwareTopology, DeviceError, DeviceResult,
};
#[cfg(not(feature = "scirs2"))]
use fallback_scirs2::*;
use quantrs2_circuit::prelude::*;
use scirs2_core::ndarray::{Array1, Array2, ArrayView1};
use serde::{Deserialize, Serialize};
use std::collections::{BTreeMap, HashMap, VecDeque};
use std::sync::{Arc, Mutex, RwLock};
use std::time::{Duration, Instant, SystemTime, UNIX_EPOCH};

use super::functions::{AnomalyDetector, MetricCollector, NotificationChannel};
#[cfg(feature = "scheduling")]
use tokio::sync::{broadcast, mpsc};
#[cfg(feature = "scheduling")]
use tokio::time::interval;

/// Alert severity levels
#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Ord, Serialize, Deserialize)]
pub enum AlertSeverity {
    Info,
    Warning,
    Critical,
    Emergency,
}
/// 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>,
}
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(),
        }
    }
}
/// 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>,
}
/// 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,
}
/// 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,
}
/// 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>,
}
/// Insight types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum InsightType {
    Performance,
    Efficiency,
    Cost,
    Reliability,
    Capacity,
    Security,
    Trend,
    Anomaly,
}
/// 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>,
}
/// 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>,
}
/// Export authentication
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ExportAuth {
    ApiKey(String),
    BasicAuth { username: String, password: String },
    BearerToken(String),
    Custom(HashMap<String, String>),
}
/// Suppression condition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SuppressionCondition {
    MaintenanceWindow,
    DuplicateAlert,
    SystemStartup(Duration),
    MetricValue(String, 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,
}
/// 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,
}
/// Impact levels
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ImpactLevel {
    Low,
    Medium,
    High,
    Critical,
}
/// Types of anomalies
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AnomalyType {
    Outlier,
    ChangePoint,
    Drift,
    Seasonality,
    Spike,
    Drop,
    Pattern,
    Custom(String),
}
/// Predictive model types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum PredictiveModelType {
    LinearRegression,
    PolynomialRegression,
    ExponentialSmoothing,
    ARIMA,
    NeuralNetwork,
    RandomForest,
    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>,
}
/// Pattern types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum PatternType {
    Periodic,
    Cyclic,
    Seasonal,
    Trend,
    Burst,
    Anomaly,
    Custom(String),
}
/// 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,
}
/// Compression algorithms
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum CompressionAlgorithm {
    None,
    Gzip,
    Zstd,
    Lz4,
    Snappy,
}
/// 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>,
}
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(),
        }
    }
}
/// 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),
}
/// 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>,
}
/// 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 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>>,
}
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> {
        Ok(TelemetryReport {
            report_type,
            period: (
                SystemTime::now() - Duration::from_secs(86400),
                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(),
        })
    }
}
/// Trend direction
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum TrendDirection {
    Increasing,
    Decreasing,
    Stable,
    Volatile,
    Unknown,
}
/// Report types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ReportType {
    Performance,
    Resource,
    Error,
    Cost,
    Health,
    Security,
    Comprehensive,
}
/// 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,
}
/// 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>,
}
/// System status enumeration
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum SystemStatus {
    Healthy,
    Degraded,
    Critical,
    Offline,
    Maintenance,
    Unknown,
}
/// 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>>>,
}
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(());
        }
        self.start_metric_collection().await?;
        if self.config.enable_realtime_monitoring {
            self.start_realtime_monitoring().await?;
        }
        if self.config.enable_analytics {
            self.start_analytics_processing().await?;
        }
        if self.config.enable_alerting {
            self.start_alert_processing().await?;
        }
        Ok(())
    }
    /// Stop telemetry collection
    pub async fn stop(&self) -> DeviceResult<()> {
        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) => {
                        eprintln!(
                            "Error collecting metrics from {}: {:?}",
                            collector.name(),
                            e
                        );
                    }
                }
            }
        }
        {
            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)?;
        }
        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
    }
    async fn start_metric_collection(&self) -> DeviceResult<()> {
        let interval_duration = Duration::from_secs(self.config.collection_interval);
        let mut interval = interval(interval_duration);
        Ok(())
    }
    async fn start_realtime_monitoring(&self) -> DeviceResult<()> {
        Ok(())
    }
    async fn start_analytics_processing(&self) -> DeviceResult<()> {
        Ok(())
    }
    async fn start_alert_processing(&self) -> DeviceResult<()> {
        Ok(())
    }
}
/// 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,
}
/// 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>,
}
/// Export format
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum ExportFormat {
    JSON,
    Prometheus,
    InfluxDB,
    CSV,
    Binary,
    Custom(String),
}
/// 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,
}
/// 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>,
}
/// 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>,
}
/// 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,
}
/// 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>,
}
/// 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,
}
/// 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,
}
/// Anomaly detector types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum AnomalyDetectorType {
    Statistical,
    MachineLearning,
    Threshold,
    Isolation,
    LSTM,
    AutoEncoder,
    Custom(String),
}
/// 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>,
}
/// 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)>,
}
/// 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>,
}
/// 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,
}
/// 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>,
}
/// 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,
}
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 {
            let buffer = self.realtime_buffer.entry(metric.name.clone()).or_default();
            buffer.push_back(metric.clone());
            while buffer.len() > self.config.realtime_buffer_size {
                buffer.pop_front();
            }
            let metric_names = self.time_series_index.entry(metric.timestamp).or_default();
            metric_names.push(metric.name.clone());
        }
        self.statistics.total_metrics += metrics.len() as u64;
        Ok(())
    }
}
/// 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,
}
/// 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 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>,
}
/// 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,
}
/// Escalation condition
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum EscalationCondition {
    UnresolvedAfter(Duration),
    RepeatedFailures(u32),
    SeverityIncrease,
    MetricThreshold(String, 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,
}
/// Types of monitoring targets
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MonitoringTargetType {
    Device,
    Circuit,
    Job,
    Provider,
    Resource,
    Application,
    Custom(String),
}
/// 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,
}
/// Statistical model types
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum StatisticalModelType {
    Normal,
    Exponential,
    Gamma,
    ChiSquared,
    Weibull,
    Beta,
    LogNormal,
    Custom(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,
}
/// Storage backends
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum StorageBackend {
    Memory,
    File,
    Database,
    TimeSeries,
    Cloud,
}
/// 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 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>,
}
/// 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,
}
/// 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),
}
/// Types of metrics
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum MetricType {
    Counter,
    Gauge,
    Histogram,
    Summary,
    Timer,
    Custom(String),
}
/// 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,
}
/// 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>,
}
/// 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,
}
/// 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>,
}