quantrs2_device/quantum_network/enhanced_monitoring/
components.rs

1//! Component types for enhanced monitoring
2
3use super::types::*;
4use async_trait::async_trait;
5use chrono::{DateTime, Duration as ChronoDuration, Utc};
6use serde::{Deserialize, Serialize};
7use std::collections::{BTreeMap, HashMap, HashSet, VecDeque};
8use std::sync::{Arc, Mutex, RwLock};
9use std::time::Duration;
10use uuid::Uuid;
11
12use crate::performance_analytics_dashboard::NotificationDispatcher;
13use crate::quantum_network::distributed_protocols::{NodeId, NodeInfo, PerformanceMetrics};
14use crate::quantum_network::network_optimization::{
15    FeatureVector, MLModel, NetworkOptimizationError, PredictionResult, Priority,
16};
17
18/// Real-time metrics collector
19#[derive(Debug)]
20pub struct RealTimeMetricsCollector {
21    /// Metric data streams
22    pub metric_streams: Arc<RwLock<HashMap<MetricType, MetricStream>>>,
23    /// Collection schedulers
24    pub schedulers: Arc<RwLock<HashMap<MetricType, MetricCollectionScheduler>>>,
25    /// Data aggregation engine
26    pub aggregation_engine: Arc<MetricsAggregationEngine>,
27    /// Real-time data buffer
28    pub real_time_buffer: Arc<RwLock<MetricsBuffer>>,
29    /// Collection statistics
30    pub collection_stats: Arc<Mutex<CollectionStatistics>>,
31}
32
33/// Metric data stream
34#[derive(Debug)]
35pub struct MetricStream {
36    /// Stream identifier
37    pub stream_id: Uuid,
38    /// Metric type being collected
39    pub metric_type: MetricType,
40    /// Current data points
41    pub data_points: Arc<RwLock<VecDeque<MetricDataPoint>>>,
42    /// Stream statistics
43    pub stream_stats: Arc<Mutex<StreamStatistics>>,
44    /// Quality indicators
45    pub quality_indicators: Arc<RwLock<DataQualityIndicators>>,
46}
47
48/// Individual metric data point
49#[derive(Debug, Clone, Serialize, Deserialize)]
50pub struct MetricDataPoint {
51    /// Unique identifier for this data point
52    pub data_point_id: Uuid,
53    /// Metric type
54    pub metric_type: MetricType,
55    /// Timestamp of measurement
56    pub timestamp: DateTime<Utc>,
57    /// Primary metric value
58    pub value: f64,
59    /// Additional context values
60    pub context_values: HashMap<String, f64>,
61    /// Node identifier (if applicable)
62    pub node_id: Option<NodeId>,
63    /// Qubit identifier (if applicable)
64    pub qubit_id: Option<u32>,
65    /// Measurement quality indicators
66    pub quality: DataQuality,
67    /// Metadata about the measurement
68    pub metadata: MetricMetadata,
69}
70
71/// Data quality indicators for measurements
72#[derive(Debug, Clone, Serialize, Deserialize)]
73pub struct DataQuality {
74    /// Measurement accuracy (0.0 to 1.0)
75    pub accuracy: f64,
76    /// Measurement precision (0.0 to 1.0)
77    pub precision: f64,
78    /// Confidence level (0.0 to 1.0)
79    pub confidence: f64,
80    /// Data freshness (time since measurement)
81    pub freshness: Duration,
82    /// Calibration status
83    pub calibration_status: CalibrationStatus,
84}
85
86/// Calibration status for measurements
87#[derive(Debug, Clone, Serialize, Deserialize)]
88pub enum CalibrationStatus {
89    /// Recently calibrated (high confidence)
90    RecentlyCalibrated,
91    /// Calibrated within normal window
92    NormallyCalibrated,
93    /// Calibration aging (reduced confidence)
94    CalibrationAging,
95    /// Calibration expired (low confidence)
96    CalibrationExpired,
97    /// Calibration unknown
98    Unknown,
99}
100
101/// Metadata about metric measurements
102#[derive(Debug, Clone, Serialize, Deserialize)]
103pub struct MetricMetadata {
104    /// Measurement method used
105    pub measurement_method: String,
106    /// Environmental conditions during measurement
107    pub environmental_conditions: EnvironmentalConditions,
108    /// Concurrent operations during measurement
109    pub concurrent_operations: Vec<String>,
110    /// Measurement context
111    pub measurement_context: MeasurementContext,
112}
113
114/// Environmental conditions during measurement
115#[derive(Debug, Clone, Serialize, Deserialize)]
116pub struct EnvironmentalConditions {
117    /// Temperature (Kelvin)
118    pub temperature: Option<f64>,
119    /// Pressure (Pascal)
120    pub pressure: Option<f64>,
121    /// Humidity (percentage)
122    pub humidity: Option<f64>,
123    /// Magnetic field strength (Tesla)
124    pub magnetic_field: Option<f64>,
125    /// Vibration levels
126    pub vibration_levels: Option<f64>,
127}
128
129/// Measurement context information
130#[derive(Debug, Clone, Serialize, Deserialize)]
131pub struct MeasurementContext {
132    /// Experiment type being conducted
133    pub experiment_type: Option<String>,
134    /// User or application requesting measurement
135    pub requester: Option<String>,
136    /// Priority level of measurement
137    pub priority: Priority,
138    /// Associated circuit or algorithm
139    pub associated_circuit: Option<Uuid>,
140}
141
142/// Quantum Network Analytics Engine
143#[derive(Debug)]
144pub struct QuantumNetworkAnalyticsEngine {
145    /// Real-time analytics processor
146    pub real_time_processor: Arc<RealTimeAnalyticsProcessor>,
147    /// Pattern recognition system
148    pub pattern_recognition: Arc<QuantumPatternRecognition>,
149    /// Correlation analysis engine
150    pub correlation_analyzer: Arc<QuantumCorrelationAnalyzer>,
151    /// Trend analysis system
152    pub trend_analyzer: Arc<QuantumTrendAnalyzer>,
153    /// Performance modeling system
154    pub performance_modeler: Arc<QuantumPerformanceModeler>,
155    /// Optimization analytics
156    pub optimization_analytics: Arc<QuantumOptimizationAnalytics>,
157}
158
159/// Real-time analytics processor
160#[derive(Debug)]
161pub struct RealTimeAnalyticsProcessor {
162    /// Stream processing engine
163    pub stream_processor: Arc<StreamProcessingEngine>,
164    /// Real-time aggregators
165    pub aggregators: Arc<RwLock<HashMap<MetricType, RealTimeAggregator>>>,
166    /// Complex event processing
167    pub cep_engine: Arc<ComplexEventProcessingEngine>,
168    /// Real-time ML inference
169    pub ml_inference: Arc<RealTimeMLInference>,
170}
171
172/// Quantum anomaly detection system
173#[derive(Debug)]
174pub struct QuantumAnomalyDetector {
175    /// Anomaly detection models
176    pub detection_models: Arc<RwLock<HashMap<MetricType, AnomalyDetectionModel>>>,
177    /// Threshold-based detectors
178    pub threshold_detectors: Arc<RwLock<HashMap<MetricType, ThresholdDetector>>>,
179    /// ML-based anomaly detection
180    pub ml_detectors: Arc<RwLock<HashMap<MetricType, MLAnomalyDetector>>>,
181    /// Anomaly correlation analyzer
182    pub correlation_analyzer: Arc<QuantumCorrelationAnalyzer>,
183    /// Anomaly severity classifier
184    pub severity_classifier: Arc<AnomalySeverityClassifier>,
185}
186
187/// Anomaly detection model
188#[derive(Debug)]
189pub struct AnomalyDetectionModel {
190    /// Model identifier
191    pub model_id: Uuid,
192    /// Model type
193    pub model_type: AnomalyModelType,
194    /// Training data window
195    pub training_window: Duration,
196    /// Detection sensitivity
197    pub sensitivity: f64,
198    /// Model accuracy metrics
199    pub accuracy_metrics: ModelAccuracyMetrics,
200    /// Last training timestamp
201    pub last_training: DateTime<Utc>,
202}
203
204/// Types of anomaly detection models
205#[derive(Debug, Clone, Serialize, Deserialize)]
206pub enum AnomalyModelType {
207    /// Statistical anomaly detection
208    Statistical {
209        method: StatisticalMethod,
210        confidence_level: f64,
211    },
212    /// Machine learning-based detection
213    MachineLearning {
214        algorithm: MLAlgorithm,
215        feature_window: Duration,
216    },
217    /// Time series anomaly detection
218    TimeSeries {
219        model: TimeSeriesModel,
220        seasonal_adjustment: bool,
221    },
222    /// Quantum-specific anomaly detection
223    QuantumSpecific {
224        quantum_model: QuantumAnomalyModel,
225        context_awareness: bool,
226    },
227}
228
229/// Statistical methods for anomaly detection
230#[derive(Debug, Clone, Serialize, Deserialize)]
231pub enum StatisticalMethod {
232    ZScore,
233    IQR,
234    GESD,
235    ModifiedZScore,
236    RobustZScore,
237}
238
239/// ML algorithms for anomaly detection
240#[derive(Debug, Clone, Serialize, Deserialize)]
241pub enum MLAlgorithm {
242    IsolationForest,
243    OneClassSVM,
244    LocalOutlierFactor,
245    EllipticEnvelope,
246    AutoEncoder,
247    LSTM,
248}
249
250/// Time series models for anomaly detection
251#[derive(Debug, Clone, Serialize, Deserialize)]
252pub enum TimeSeriesModel {
253    ARIMA,
254    HoltWinters,
255    Prophet,
256    DeepAR,
257    LSTM,
258}
259
260/// Quantum-specific anomaly models
261#[derive(Debug, Clone, Serialize, Deserialize)]
262pub enum QuantumAnomalyModel {
263    /// Fidelity degradation detection
264    FidelityDegradation,
265    /// Coherence collapse detection
266    CoherenceCollapse,
267    /// Entanglement death detection
268    EntanglementDeath,
269    /// Quantum error burst detection
270    ErrorBurst,
271    /// Calibration drift detection
272    CalibrationDrift,
273}
274
275/// Model accuracy metrics
276#[derive(Debug, Clone, Serialize, Deserialize)]
277pub struct ModelAccuracyMetrics {
278    /// True positive rate
279    pub true_positive_rate: f64,
280    /// False positive rate
281    pub false_positive_rate: f64,
282    /// Precision
283    pub precision: f64,
284    /// Recall
285    pub recall: f64,
286    /// F1 score
287    pub f1_score: f64,
288    /// Area under ROC curve
289    pub auc_roc: f64,
290}
291
292/// Quantum Network Predictor for predictive analytics
293#[derive(Debug)]
294pub struct QuantumNetworkPredictor {
295    /// Performance prediction models
296    pub performance_predictors: Arc<RwLock<HashMap<MetricType, PerformancePredictionModel>>>,
297    /// Failure prediction system
298    pub failure_predictor: Arc<QuantumFailurePredictor>,
299    /// Capacity planning predictor
300    pub capacity_predictor: Arc<QuantumCapacityPredictor>,
301    /// Load forecasting system
302    pub load_forecaster: Arc<QuantumLoadForecaster>,
303    /// Optimization opportunity predictor
304    pub optimization_predictor: Arc<QuantumOptimizationOpportunityPredictor>,
305}
306
307/// Performance prediction model
308#[derive(Debug)]
309pub struct PerformancePredictionModel {
310    /// Model identifier
311    pub model_id: Uuid,
312    /// Prediction horizon
313    pub prediction_horizon: Duration,
314    /// Model type
315    pub model_type: PredictionModelType,
316    /// Feature extractors
317    pub feature_extractors: Vec<FeatureExtractor>,
318    /// Prediction accuracy
319    pub prediction_accuracy: f64,
320    /// Model confidence intervals
321    pub confidence_intervals: ConfidenceIntervals,
322}
323
324/// Types of prediction models
325#[derive(Debug, Clone, Serialize, Deserialize)]
326pub enum PredictionModelType {
327    /// Linear regression models
328    Linear { regularization: RegularizationType },
329    /// Time series forecasting
330    TimeSeries {
331        model: TimeSeriesModel,
332        seasonal_components: bool,
333    },
334    /// Neural network models
335    NeuralNetwork {
336        architecture: NeuralNetworkArchitecture,
337        optimization: OptimizationMethod,
338    },
339    /// Ensemble models
340    Ensemble {
341        base_models: Vec<String>,
342        combination_method: EnsembleCombinationMethod,
343    },
344    /// Quantum machine learning models
345    QuantumML {
346        ansatz: QuantumAnsatz,
347        parameter_optimization: ParameterOptimization,
348    },
349}
350
351/// Regularization types for linear models
352#[derive(Debug, Clone, Serialize, Deserialize)]
353pub enum RegularizationType {
354    None,
355    L1,
356    L2,
357    ElasticNet { l1_ratio: f64 },
358}
359
360/// Neural network architectures
361#[derive(Debug, Clone, Serialize, Deserialize)]
362pub struct NeuralNetworkArchitecture {
363    /// Layer specifications
364    pub layers: Vec<LayerSpec>,
365    /// Activation functions
366    pub activations: Vec<ActivationFunction>,
367    /// Dropout rates
368    pub dropout_rates: Vec<f64>,
369}
370
371/// Layer specification for neural networks
372#[derive(Debug, Clone, Serialize, Deserialize)]
373pub struct LayerSpec {
374    /// Layer type
375    pub layer_type: LayerType,
376    /// Number of units
377    pub units: u32,
378    /// Additional parameters
379    pub parameters: HashMap<String, f64>,
380}
381
382/// Neural network layer types
383#[derive(Debug, Clone, Serialize, Deserialize)]
384pub enum LayerType {
385    Dense,
386    LSTM,
387    GRU,
388    Conv1D,
389    Attention,
390}
391
392/// Activation functions
393#[derive(Debug, Clone, Serialize, Deserialize)]
394pub enum ActivationFunction {
395    ReLU,
396    Sigmoid,
397    Tanh,
398    Swish,
399    GELU,
400}
401
402/// Optimization methods for neural networks
403#[derive(Debug, Clone, Serialize, Deserialize)]
404pub enum OptimizationMethod {
405    SGD {
406        learning_rate: f64,
407        momentum: f64,
408    },
409    Adam {
410        learning_rate: f64,
411        beta1: f64,
412        beta2: f64,
413    },
414    AdamW {
415        learning_rate: f64,
416        weight_decay: f64,
417    },
418    RMSprop {
419        learning_rate: f64,
420        decay: f64,
421    },
422}
423
424/// Ensemble combination methods
425#[derive(Debug, Clone, Serialize, Deserialize)]
426pub enum EnsembleCombinationMethod {
427    Averaging,
428    Voting,
429    Stacking,
430    Blending,
431    BayesianModelAveraging,
432}
433
434/// Quantum ansatz for quantum ML
435#[derive(Debug, Clone, Serialize, Deserialize)]
436pub enum QuantumAnsatz {
437    VariationalQuantumEigensolver,
438    QuantumApproximateOptimizationAlgorithm,
439    HardwareEfficientAnsatz,
440    EquivariantAnsatz,
441}
442
443/// Parameter optimization for quantum ML
444#[derive(Debug, Clone, Serialize, Deserialize)]
445pub enum ParameterOptimization {
446    GradientDescent,
447    COBYLA,
448    SPSA,
449    NelderMead,
450    QuantumNaturalGradient,
451}
452
453/// Confidence intervals for predictions
454#[derive(Debug, Clone, Serialize, Deserialize)]
455pub struct ConfidenceIntervals {
456    /// Lower bound confidence levels (confidence_level, lower_bound)
457    pub lower_bounds: Vec<(f64, f64)>,
458    /// Upper bound confidence levels (confidence_level, upper_bound)
459    pub upper_bounds: Vec<(f64, f64)>,
460    /// Prediction uncertainty
461    pub uncertainty_estimate: f64,
462}
463
464/// Feature extractor for ML models
465#[derive(Debug, Clone, Serialize, Deserialize)]
466pub struct FeatureExtractor {
467    /// Extractor name
468    pub name: String,
469    /// Feature types extracted
470    pub feature_types: Vec<FeatureType>,
471    /// Extraction window
472    pub extraction_window: Duration,
473    /// Feature importance weights
474    pub importance_weights: HashMap<String, f64>,
475}
476
477/// Types of features for ML models
478#[derive(Debug, Clone, Serialize, Deserialize)]
479pub enum FeatureType {
480    /// Raw metric values
481    RawMetric,
482    /// Statistical features (mean, std, etc.)
483    Statistical,
484    /// Temporal features (trends, seasonality)
485    Temporal,
486    /// Frequency domain features (FFT, spectral)
487    FrequencyDomain,
488    /// Quantum-specific features
489    QuantumSpecific,
490    /// Cross-correlation features
491    CrossCorrelation,
492}
493
494/// Alert system for quantum networks
495pub struct QuantumNetworkAlertSystem {
496    /// Alert rules engine
497    pub rules_engine: Arc<AlertRulesEngine>,
498    /// Notification dispatcher
499    pub notification_dispatcher: Arc<NotificationDispatcher>,
500    /// Alert severity classifier
501    pub severity_classifier: Arc<AlertSeverityClassifier>,
502    /// Alert correlation engine
503    pub correlation_engine: Arc<AlertCorrelationEngine>,
504    /// Escalation manager
505    pub escalation_manager: Arc<AlertEscalationManager>,
506}
507
508impl std::fmt::Debug for QuantumNetworkAlertSystem {
509    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
510        f.debug_struct("QuantumNetworkAlertSystem")
511            .field("rules_engine", &self.rules_engine)
512            .field("notification_dispatcher", &"<NotificationDispatcher>")
513            .field("severity_classifier", &self.severity_classifier)
514            .field("correlation_engine", &self.correlation_engine)
515            .field("escalation_manager", &self.escalation_manager)
516            .finish()
517    }
518}
519
520/// Alert rules engine
521#[derive(Debug)]
522pub struct AlertRulesEngine {
523    /// Active alert rules
524    pub active_rules: Arc<RwLock<HashMap<Uuid, AlertRule>>>,
525    /// Rule evaluation engine
526    pub evaluation_engine: Arc<RuleEvaluationEngine>,
527    /// Custom rule compiler
528    pub rule_compiler: Arc<CustomRuleCompiler>,
529    /// Rule performance tracker
530    pub performance_tracker: Arc<RulePerformanceTracker>,
531}
532
533impl Default for AlertRulesEngine {
534    fn default() -> Self {
535        Self::new()
536    }
537}
538
539impl AlertRulesEngine {
540    pub fn new() -> Self {
541        Self {
542            active_rules: Arc::new(RwLock::new(HashMap::new())),
543            evaluation_engine: Arc::new(RuleEvaluationEngine::new()),
544            rule_compiler: Arc::new(CustomRuleCompiler::new()),
545            performance_tracker: Arc::new(RulePerformanceTracker::new()),
546        }
547    }
548}
549
550/// Alert rule definition
551#[derive(Debug, Clone, Serialize, Deserialize)]
552pub struct AlertRule {
553    /// Rule identifier
554    pub rule_id: Uuid,
555    /// Rule name
556    pub rule_name: String,
557    /// Rule description
558    pub description: String,
559    /// Rule condition
560    pub condition: RuleCondition,
561    /// Alert severity
562    pub severity: AlertSeverity,
563    /// Notification settings
564    pub notification_settings: NotificationSettings,
565    /// Rule metadata
566    pub metadata: RuleMetadata,
567}
568
569/// Rule condition specification
570#[derive(Debug, Clone, Serialize, Deserialize)]
571pub enum RuleCondition {
572    /// Simple threshold condition
573    Threshold {
574        metric_type: MetricType,
575        operator: ComparisonOperator,
576        threshold_value: f64,
577        duration: Duration,
578    },
579    /// Complex condition with multiple metrics
580    Complex {
581        expression: String,
582        metrics: Vec<MetricType>,
583        evaluation_window: Duration,
584    },
585    /// Anomaly-based condition
586    Anomaly {
587        metric_type: MetricType,
588        anomaly_model: AnomalyModelType,
589        sensitivity: f64,
590    },
591    /// Trend-based condition
592    Trend {
593        metric_type: MetricType,
594        trend_direction: TrendDirection,
595        trend_strength: f64,
596        evaluation_period: Duration,
597    },
598    /// Quantum-specific condition
599    QuantumSpecific {
600        quantum_condition: QuantumCondition,
601        parameters: HashMap<String, f64>,
602    },
603}
604
605/// Comparison operators for rule conditions
606#[derive(Debug, Clone, Serialize, Deserialize)]
607pub enum ComparisonOperator {
608    GreaterThan,
609    LessThan,
610    GreaterThanOrEqual,
611    LessThanOrEqual,
612    Equal,
613    NotEqual,
614    Between { lower: f64, upper: f64 },
615    Outside { lower: f64, upper: f64 },
616}
617
618/// Trend directions for trend-based alerts
619#[derive(Debug, Clone, Serialize, Deserialize)]
620pub enum TrendDirection {
621    Increasing,
622    Decreasing,
623    Stable,
624    Oscillating,
625    Chaotic,
626}
627
628/// Quantum-specific alert conditions
629#[derive(Debug, Clone, Serialize, Deserialize)]
630pub enum QuantumCondition {
631    /// Fidelity below threshold
632    FidelityDegradation,
633    /// Coherence time decreasing rapidly
634    CoherenceDecay,
635    /// Entanglement quality degrading
636    EntanglementDegradation,
637    /// Error rates increasing
638    ErrorRateIncrease,
639    /// Calibration drift detected
640    CalibrationDrift,
641    /// Quantum volume decreasing
642    QuantumVolumeDecrease,
643}
644
645/// Alert severity levels
646#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq, PartialOrd, Ord, Hash)]
647pub enum AlertSeverity {
648    Info = 0,
649    Warning = 1,
650    Minor = 2,
651    Major = 3,
652    Critical = 4,
653    Emergency = 5,
654}
655
656/// Notification settings for alerts
657#[derive(Debug, Clone, Serialize, Deserialize)]
658pub struct NotificationSettings {
659    /// Notification channels
660    pub channels: Vec<NotificationChannel>,
661    /// Notification frequency limits
662    pub frequency_limits: FrequencyLimits,
663    /// Escalation settings
664    pub escalation_settings: EscalationSettings,
665    /// Custom message templates
666    pub message_templates: HashMap<String, String>,
667}
668
669/// Notification channels
670#[derive(Debug, Clone, Serialize, Deserialize)]
671pub enum NotificationChannel {
672    /// Email notifications
673    Email {
674        recipients: Vec<String>,
675        subject_template: String,
676    },
677    /// SMS notifications
678    SMS {
679        phone_numbers: Vec<String>,
680        message_template: String,
681    },
682    /// Slack notifications
683    Slack {
684        webhook_url: String,
685        channel: String,
686    },
687    /// Discord notifications
688    Discord {
689        webhook_url: String,
690        channel: String,
691    },
692    /// Custom webhook
693    Webhook {
694        url: String,
695        headers: HashMap<String, String>,
696        payload_template: String,
697    },
698    /// Dashboard notifications
699    Dashboard {
700        dashboard_id: String,
701        notification_type: DashboardNotificationType,
702    },
703}
704
705/// Dashboard notification types
706#[derive(Debug, Clone, Serialize, Deserialize)]
707pub enum DashboardNotificationType {
708    PopupAlert,
709    StatusBarUpdate,
710    BannerNotification,
711    SidebarAlert,
712}
713
714/// Frequency limits for notifications
715#[derive(Debug, Clone, Serialize, Deserialize)]
716pub struct FrequencyLimits {
717    /// Maximum notifications per time window
718    pub max_notifications_per_window: u32,
719    /// Time window for frequency limiting
720    pub time_window: Duration,
721    /// Cooldown period after max reached
722    pub cooldown_period: Duration,
723    /// Burst allowance for critical alerts
724    pub burst_allowance: u32,
725}
726
727/// Escalation settings for alerts
728#[derive(Debug, Clone, Serialize, Deserialize)]
729pub struct EscalationSettings {
730    /// Escalation enabled
731    pub enabled: bool,
732    /// Escalation levels
733    pub escalation_levels: Vec<EscalationLevel>,
734    /// Automatic escalation rules
735    pub auto_escalation_rules: Vec<AutoEscalationRule>,
736}
737
738/// Escalation level definition
739#[derive(Debug, Clone, Serialize, Deserialize)]
740pub struct EscalationLevel {
741    /// Level number
742    pub level: u32,
743    /// Delay before escalating to this level
744    pub escalation_delay: Duration,
745    /// Additional notification channels for this level
746    pub additional_channels: Vec<NotificationChannel>,
747    /// Required acknowledgment for this level
748    pub requires_acknowledgment: bool,
749}
750
751/// Automatic escalation rule
752#[derive(Debug, Clone, Serialize, Deserialize)]
753pub struct AutoEscalationRule {
754    /// Rule condition
755    pub condition: EscalationCondition,
756    /// Target escalation level
757    pub target_level: u32,
758    /// Escalation reason
759    pub reason: String,
760}
761
762/// Conditions for automatic escalation
763#[derive(Debug, Clone, Serialize, Deserialize)]
764pub enum EscalationCondition {
765    /// No acknowledgment within time limit
766    NoAcknowledgment { timeout: Duration },
767    /// Alert persists for duration
768    AlertPersistence { duration: Duration },
769    /// Related alerts triggered
770    RelatedAlerts { count: u32, time_window: Duration },
771    /// Severity threshold reached
772    SeverityThreshold { severity: AlertSeverity },
773}
774
775/// Rule metadata
776#[derive(Debug, Clone, Serialize, Deserialize)]
777pub struct RuleMetadata {
778    /// Rule creation timestamp
779    pub created_at: DateTime<Utc>,
780    /// Rule creator
781    pub created_by: String,
782    /// Last modification timestamp
783    pub last_modified: DateTime<Utc>,
784    /// Rule version
785    pub version: u32,
786    /// Rule tags
787    pub tags: Vec<String>,
788    /// Rule category
789    pub category: RuleCategory,
790}
791
792/// Rule categories
793#[derive(Debug, Clone, Serialize, Deserialize)]
794pub enum RuleCategory {
795    Performance,
796    Security,
797    Availability,
798    QuantumSpecific,
799    Hardware,
800    Network,
801    Application,
802    Custom,
803}
804
805/// Collection scheduler for specific metric types
806#[derive(Debug)]
807pub struct MetricCollectionScheduler {
808    pub metric_type: MetricType,
809    pub collection_interval: Duration,
810    pub priority: Priority,
811    pub enabled: bool,
812}
813
814/// Metrics aggregation engine
815#[derive(Debug)]
816pub struct MetricsAggregationEngine {
817    pub aggregation_window: Duration,
818    pub aggregation_functions: Vec<String>,
819    pub buffer_size: usize,
820}
821
822/// Buffer for real-time metrics
823#[derive(Debug)]
824pub struct MetricsBuffer {
825    pub buffer_size: usize,
826    pub data_points: VecDeque<MetricDataPoint>,
827    pub overflow_policy: String,
828}
829
830/// Statistics for metric streams
831#[derive(Debug)]
832pub struct StreamStatistics {
833    pub total_points: u64,
834    pub average_rate: f64,
835    pub error_count: u64,
836    pub last_update: DateTime<Utc>,
837}
838
839/// Data quality indicators
840#[derive(Debug)]
841pub struct DataQualityIndicators {
842    pub completeness: f64,
843    pub accuracy: f64,
844    pub consistency: f64,
845    pub timeliness: f64,
846}
847
848/// Collection statistics
849#[derive(Debug, Clone, Serialize, Deserialize)]
850pub struct CollectionStatistics {
851    pub total_data_points: u64,
852    pub collection_rate: f64,
853    pub error_rate: f64,
854    pub last_collection: DateTime<Utc>,
855}
856
857/// Real-time ML inference engine
858#[derive(Debug)]
859pub struct RealTimeMLInference {
860    pub model_path: String,
861}
862
863/// Optimization recommendation
864#[derive(Debug, Clone, Serialize, Deserialize)]
865pub struct OptimizationRecommendation {
866    pub recommendation_id: Uuid,
867    pub recommendation_type: String,
868    pub description: String,
869    pub confidence: f64,
870    pub estimated_improvement: f64,
871}
872
873#[derive(Debug)]
874pub struct ThresholdDetector {
875    pub lower_threshold: f64,
876    pub upper_threshold: f64,
877    pub sensitivity: f64,
878}
879
880impl ThresholdDetector {
881    pub const fn new(lower: f64, upper: f64, sensitivity: f64) -> Self {
882        Self {
883            lower_threshold: lower,
884            upper_threshold: upper,
885            sensitivity,
886        }
887    }
888}
889
890/// Machine learning-based anomaly detector
891#[derive(Debug, Clone)]
892pub struct MLAnomalyDetector {
893    pub model_type: String,
894    pub sensitivity: f64,
895    pub training_data_size: usize,
896}
897
898impl MLAnomalyDetector {
899    pub const fn new(model_type: String, sensitivity: f64) -> Self {
900        Self {
901            model_type,
902            sensitivity,
903            training_data_size: 0,
904        }
905    }
906}
907
908/// Anomaly severity classifier
909#[derive(Debug, Clone)]
910pub struct AnomalySeverityClassifier {
911    pub thresholds: HashMap<String, f64>,
912    pub weights: HashMap<String, f64>,
913}
914
915impl Default for AnomalySeverityClassifier {
916    fn default() -> Self {
917        Self::new()
918    }
919}
920
921impl AnomalySeverityClassifier {
922    pub fn new() -> Self {
923        Self {
924            thresholds: HashMap::new(),
925            weights: HashMap::new(),
926        }
927    }
928}
929
930/// Quantum failure predictor
931#[derive(Debug, Clone)]
932pub struct QuantumFailurePredictor {
933    pub model_accuracy: f64,
934    pub prediction_window: Duration,
935}
936
937impl Default for QuantumFailurePredictor {
938    fn default() -> Self {
939        Self::new()
940    }
941}
942
943impl QuantumFailurePredictor {
944    pub const fn new() -> Self {
945        Self {
946            model_accuracy: 0.9,
947            prediction_window: Duration::from_secs(300),
948        }
949    }
950}
951
952/// Quantum capacity predictor
953#[derive(Debug, Clone)]
954pub struct QuantumCapacityPredictor {
955    pub prediction_horizon: Duration,
956    pub confidence_interval: f64,
957}
958
959impl Default for QuantumCapacityPredictor {
960    fn default() -> Self {
961        Self::new()
962    }
963}
964
965impl QuantumCapacityPredictor {
966    pub const fn new() -> Self {
967        Self {
968            prediction_horizon: Duration::from_secs(600),
969            confidence_interval: 0.95,
970        }
971    }
972}
973
974/// Quantum load forecaster
975#[derive(Debug, Clone)]
976pub struct QuantumLoadForecaster {
977    pub forecast_window: Duration,
978    pub update_frequency: Duration,
979}
980
981impl Default for QuantumLoadForecaster {
982    fn default() -> Self {
983        Self::new()
984    }
985}
986
987impl QuantumLoadForecaster {
988    pub const fn new() -> Self {
989        Self {
990            forecast_window: Duration::from_secs(1800),
991            update_frequency: Duration::from_secs(60),
992        }
993    }
994}
995
996/// Quantum optimization opportunity predictor
997#[derive(Debug, Clone)]
998pub struct QuantumOptimizationOpportunityPredictor {
999    pub opportunity_types: Vec<String>,
1000    pub detection_threshold: f64,
1001}
1002
1003impl Default for QuantumOptimizationOpportunityPredictor {
1004    fn default() -> Self {
1005        Self::new()
1006    }
1007}
1008
1009impl QuantumOptimizationOpportunityPredictor {
1010    pub fn new() -> Self {
1011        Self {
1012            opportunity_types: vec![
1013                "load_balancing".to_string(),
1014                "resource_allocation".to_string(),
1015            ],
1016            detection_threshold: 0.8,
1017        }
1018    }
1019}
1020
1021/// Alert severity classifier
1022#[derive(Debug, Clone)]
1023pub struct AlertSeverityClassifier {
1024    pub classification_rules: HashMap<String, AlertSeverity>,
1025    pub confidence_threshold: f64,
1026}
1027
1028impl Default for AlertSeverityClassifier {
1029    fn default() -> Self {
1030        Self::new()
1031    }
1032}
1033
1034impl AlertSeverityClassifier {
1035    pub fn new() -> Self {
1036        Self {
1037            classification_rules: HashMap::new(),
1038            confidence_threshold: 0.8,
1039        }
1040    }
1041}
1042
1043/// Alert correlation engine
1044#[derive(Debug, Clone)]
1045pub struct AlertCorrelationEngine {
1046    pub correlation_window: Duration,
1047    pub correlation_threshold: f64,
1048}
1049
1050impl Default for AlertCorrelationEngine {
1051    fn default() -> Self {
1052        Self::new()
1053    }
1054}
1055
1056impl AlertCorrelationEngine {
1057    pub const fn new() -> Self {
1058        Self {
1059            correlation_window: Duration::from_secs(300),
1060            correlation_threshold: 0.7,
1061        }
1062    }
1063}
1064
1065/// Alert escalation manager
1066#[derive(Debug, Clone)]
1067pub struct AlertEscalationManager {
1068    pub escalation_levels: Vec<String>,
1069    pub escalation_timeouts: Vec<Duration>,
1070}
1071
1072impl Default for AlertEscalationManager {
1073    fn default() -> Self {
1074        Self::new()
1075    }
1076}
1077
1078impl AlertEscalationManager {
1079    pub fn new() -> Self {
1080        Self {
1081            escalation_levels: vec![
1082                "tier1".to_string(),
1083                "tier2".to_string(),
1084                "tier3".to_string(),
1085            ],
1086            escalation_timeouts: vec![
1087                Duration::from_secs(300),
1088                Duration::from_secs(900),
1089                Duration::from_secs(1800),
1090            ],
1091        }
1092    }
1093}
1094
1095/// Rule evaluation engine
1096#[derive(Debug, Clone)]
1097pub struct RuleEvaluationEngine {
1098    pub evaluation_frequency: Duration,
1099    pub rule_cache_size: usize,
1100}
1101
1102impl Default for RuleEvaluationEngine {
1103    fn default() -> Self {
1104        Self::new()
1105    }
1106}
1107
1108impl RuleEvaluationEngine {
1109    pub const fn new() -> Self {
1110        Self {
1111            evaluation_frequency: Duration::from_secs(30),
1112            rule_cache_size: 1000,
1113        }
1114    }
1115}
1116
1117/// Custom rule compiler
1118#[derive(Debug, Clone)]
1119pub struct CustomRuleCompiler {
1120    pub supported_languages: Vec<String>,
1121    pub compilation_timeout: Duration,
1122}
1123
1124impl Default for CustomRuleCompiler {
1125    fn default() -> Self {
1126        Self::new()
1127    }
1128}
1129
1130impl CustomRuleCompiler {
1131    pub fn new() -> Self {
1132        Self {
1133            supported_languages: vec!["lua".to_string(), "python".to_string()],
1134            compilation_timeout: Duration::from_secs(30),
1135        }
1136    }
1137}
1138
1139/// Rule performance tracker
1140#[derive(Debug, Clone)]
1141pub struct RulePerformanceTracker {
1142    pub metrics_window: Duration,
1143    pub performance_threshold: f64,
1144}
1145
1146impl Default for RulePerformanceTracker {
1147    fn default() -> Self {
1148        Self::new()
1149    }
1150}
1151
1152impl RulePerformanceTracker {
1153    pub const fn new() -> Self {
1154        Self {
1155            metrics_window: Duration::from_secs(600),
1156            performance_threshold: 0.95,
1157        }
1158    }
1159}
1160
1161/// Quantum pattern recognition engine
1162#[derive(Debug)]
1163pub struct QuantumPatternRecognition {
1164    pub pattern_algorithms: Vec<String>,
1165}
1166
1167/// Quantum correlation analyzer
1168#[derive(Debug)]
1169pub struct QuantumCorrelationAnalyzer {
1170    pub correlation_threshold: f64,
1171}
1172
1173/// Quantum trend analyzer
1174#[derive(Debug)]
1175pub struct QuantumTrendAnalyzer {
1176    pub trend_algorithms: Vec<String>,
1177}
1178
1179/// Quantum performance modeler
1180#[derive(Debug)]
1181pub struct QuantumPerformanceModeler {
1182    pub modeling_algorithms: Vec<String>,
1183}
1184
1185/// Quantum optimization analytics
1186#[derive(Debug)]
1187pub struct QuantumOptimizationAnalytics {
1188    pub analytics_algorithms: Vec<String>,
1189}
1190
1191/// Stream processing engine
1192#[derive(Debug)]
1193pub struct StreamProcessingEngine {
1194    pub processing_threads: usize,
1195}
1196
1197/// Real-time aggregator
1198#[derive(Debug)]
1199pub struct RealTimeAggregator {
1200    pub aggregation_window: Duration,
1201}
1202
1203/// Complex event processing engine
1204#[derive(Debug)]
1205pub struct ComplexEventProcessingEngine {
1206    pub event_rules: Vec<String>,
1207}
quantrs2_device/quantum_network/enhanced_monitoring/components.rs

quantrs2_device/quantum_network/enhanced_monitoring/
components.rs
