quantrs2_core/
realtime_monitoring.rs

1//! Real-Time Hardware Performance Monitoring Integration
2//!
3//! This module provides comprehensive real-time monitoring capabilities for quantum
4//! hardware systems, including performance metrics collection, analysis, alerting,
5//! and optimization recommendations across all major quantum computing platforms.
6
7use crate::{
8    error::QuantRS2Result,
9    hardware_compilation::{HardwarePlatform, NativeGateType},
10    qubit::QubitId,
11};
12use num_complex::Complex64;
13use std::{
14    collections::{HashMap, HashSet, VecDeque},
15    fmt,
16    sync::{Arc, RwLock},
17    thread,
18    time::{Duration, SystemTime},
19};
20
21/// Real-time monitoring configuration
22#[derive(Debug, Clone)]
23pub struct MonitoringConfig {
24    /// Monitoring interval
25    pub monitoring_interval: Duration,
26    /// Data retention period
27    pub data_retention_period: Duration,
28    /// Alert thresholds
29    pub alert_thresholds: AlertThresholds,
30    /// Enabled metrics
31    pub enabled_metrics: HashSet<MetricType>,
32    /// Platform-specific configurations
33    pub platform_configs: HashMap<HardwarePlatform, PlatformMonitoringConfig>,
34    /// Export settings
35    pub export_settings: ExportSettings,
36}
37
38/// Alert threshold configurations
39#[derive(Debug, Clone)]
40pub struct AlertThresholds {
41    /// Gate error rate threshold
42    pub max_gate_error_rate: f64,
43    /// Readout error rate threshold
44    pub max_readout_error_rate: f64,
45    /// Coherence time threshold (minimum)
46    pub min_coherence_time: Duration,
47    /// Calibration drift threshold
48    pub max_calibration_drift: f64,
49    /// Temperature threshold
50    pub max_temperature: f64,
51    /// Queue depth threshold
52    pub max_queue_depth: usize,
53    /// Execution time threshold
54    pub max_execution_time: Duration,
55}
56
57/// Platform-specific monitoring configuration
58#[derive(Debug, Clone)]
59pub struct PlatformMonitoringConfig {
60    /// Platform type
61    pub platform: HardwarePlatform,
62    /// Specific metrics to monitor
63    pub monitored_metrics: HashSet<MetricType>,
64    /// Sampling rates for different metrics
65    pub sampling_rates: HashMap<MetricType, Duration>,
66    /// Platform-specific thresholds
67    pub custom_thresholds: HashMap<String, f64>,
68    /// Connection settings
69    pub connection_settings: HashMap<String, String>,
70}
71
72/// Export settings for monitoring data
73#[derive(Debug, Clone)]
74pub struct ExportSettings {
75    /// Enable data export
76    pub enable_export: bool,
77    /// Export formats
78    pub export_formats: Vec<ExportFormat>,
79    /// Export destinations
80    pub export_destinations: Vec<ExportDestination>,
81    /// Export frequency
82    pub export_frequency: Duration,
83    /// Compression settings
84    pub compression_enabled: bool,
85}
86
87/// Export format options
88#[derive(Debug, Clone, Copy, PartialEq, Eq)]
89pub enum ExportFormat {
90    JSON,
91    CSV,
92    Parquet,
93    InfluxDB,
94    Prometheus,
95    Custom,
96}
97
98/// Export destination options
99#[derive(Debug, Clone)]
100pub enum ExportDestination {
101    File(String),
102    Database(DatabaseConfig),
103    Cloud(CloudConfig),
104    Stream(StreamConfig),
105}
106
107/// Database configuration
108#[derive(Debug, Clone)]
109pub struct DatabaseConfig {
110    pub connection_string: String,
111    pub table_name: String,
112    pub credentials: HashMap<String, String>,
113}
114
115/// Cloud configuration
116#[derive(Debug, Clone)]
117pub struct CloudConfig {
118    pub provider: String,
119    pub endpoint: String,
120    pub credentials: HashMap<String, String>,
121}
122
123/// Stream configuration
124#[derive(Debug, Clone)]
125pub struct StreamConfig {
126    pub stream_type: String,
127    pub endpoint: String,
128    pub topic: String,
129}
130
131/// Types of metrics to monitor
132#[derive(Debug, Clone, PartialEq, Eq, Hash)]
133pub enum MetricType {
134    // Gate performance metrics
135    GateErrorRate,
136    GateFidelity,
137    GateExecutionTime,
138    GateCalibrationDrift,
139
140    // Qubit metrics
141    QubitCoherenceTime,
142    QubitReadoutError,
143    QubitTemperature,
144    QubitCrosstalk,
145
146    // System metrics
147    SystemUptime,
148    QueueDepth,
149    Throughput,
150    Latency,
151
152    // Environmental metrics
153    EnvironmentalTemperature,
154    MagneticField,
155    Vibration,
156    ElectromagneticNoise,
157
158    // Resource metrics
159    CPUUsage,
160    MemoryUsage,
161    NetworkLatency,
162    StorageUsage,
163
164    // Custom metrics
165    Custom(String),
166}
167
168/// Real-time monitoring engine
169#[derive(Debug)]
170pub struct RealtimeMonitor {
171    /// Configuration
172    config: MonitoringConfig,
173    /// Metric collectors by platform
174    collectors: Arc<RwLock<HashMap<HardwarePlatform, Box<dyn MetricCollector>>>>,
175    /// Real-time data storage
176    data_store: Arc<RwLock<RealtimeDataStore>>,
177    /// Analytics engine
178    analytics_engine: Arc<RwLock<AnalyticsEngine>>,
179    /// Alert manager
180    alert_manager: Arc<RwLock<AlertManager>>,
181    /// Optimization advisor
182    optimization_advisor: Arc<RwLock<OptimizationAdvisor>>,
183    /// Performance dashboard
184    dashboard: Arc<RwLock<PerformanceDashboard>>,
185    /// Export manager
186    export_manager: Arc<RwLock<ExportManager>>,
187    /// Monitoring status
188    monitoring_status: Arc<RwLock<MonitoringStatus>>,
189}
190
191/// Trait for platform-specific metric collection
192pub trait MetricCollector: std::fmt::Debug + Send + Sync {
193    /// Collect metrics from the platform
194    fn collect_metrics(&self) -> QuantRS2Result<Vec<MetricMeasurement>>;
195
196    /// Get supported metric types
197    fn supported_metrics(&self) -> HashSet<MetricType>;
198
199    /// Platform identifier
200    fn platform(&self) -> HardwarePlatform;
201
202    /// Initialize connection to hardware
203    fn initialize(&mut self) -> QuantRS2Result<()>;
204
205    /// Check connection status
206    fn is_connected(&self) -> bool;
207
208    /// Disconnect from hardware
209    fn disconnect(&mut self) -> QuantRS2Result<()>;
210}
211
212/// Individual metric measurement
213#[derive(Debug, Clone)]
214pub struct MetricMeasurement {
215    /// Metric type
216    pub metric_type: MetricType,
217    /// Measurement value
218    pub value: MetricValue,
219    /// Timestamp
220    pub timestamp: SystemTime,
221    /// Associated qubit (if applicable)
222    pub qubit: Option<QubitId>,
223    /// Associated gate type (if applicable)
224    pub gate_type: Option<NativeGateType>,
225    /// Measurement metadata
226    pub metadata: HashMap<String, String>,
227    /// Measurement uncertainty
228    pub uncertainty: Option<f64>,
229}
230
231/// Metric value types
232#[derive(Debug, Clone)]
233pub enum MetricValue {
234    Float(f64),
235    Integer(i64),
236    Boolean(bool),
237    String(String),
238    Array(Vec<f64>),
239    Complex(Complex64),
240    Duration(Duration),
241}
242
243/// Real-time data storage
244#[derive(Debug)]
245pub struct RealtimeDataStore {
246    /// Time-series data by metric type
247    time_series: HashMap<MetricType, VecDeque<MetricMeasurement>>,
248    /// Aggregated statistics
249    aggregated_stats: HashMap<MetricType, AggregatedStats>,
250    /// Data retention settings
251    retention_settings: HashMap<MetricType, Duration>,
252    /// Current data size
253    current_data_size: usize,
254    /// Maximum data size
255    max_data_size: usize,
256}
257
258/// Aggregated statistics for metrics
259#[derive(Debug, Clone)]
260pub struct AggregatedStats {
261    /// Mean value
262    pub mean: f64,
263    /// Standard deviation
264    pub std_dev: f64,
265    /// Minimum value
266    pub min: f64,
267    /// Maximum value
268    pub max: f64,
269    /// Median value
270    pub median: f64,
271    /// 95th percentile
272    pub p95: f64,
273    /// 99th percentile
274    pub p99: f64,
275    /// Sample count
276    pub sample_count: usize,
277    /// Last update time
278    pub last_updated: SystemTime,
279}
280
281/// Analytics engine for performance analysis
282#[derive(Debug)]
283pub struct AnalyticsEngine {
284    /// Trend analyzers
285    trend_analyzers: HashMap<MetricType, Box<dyn TrendAnalyzer>>,
286    /// Anomaly detectors
287    anomaly_detectors: HashMap<MetricType, Box<dyn AnomalyDetector>>,
288    /// Correlation analyzers
289    correlation_analyzers: Vec<Box<dyn CorrelationAnalyzer>>,
290    /// Predictive models
291    predictive_models: HashMap<MetricType, Box<dyn PredictiveModel>>,
292    /// Analysis results cache
293    analysis_cache: HashMap<String, AnalysisResult>,
294}
295
296/// Trend analysis trait
297pub trait TrendAnalyzer: std::fmt::Debug + Send + Sync {
298    /// Analyze trend in metric data
299    fn analyze_trend(&self, data: &[MetricMeasurement]) -> QuantRS2Result<TrendAnalysis>;
300
301    /// Get analyzer name
302    fn name(&self) -> &str;
303}
304
305/// Anomaly detection trait
306pub trait AnomalyDetector: std::fmt::Debug + Send + Sync {
307    /// Detect anomalies in metric data
308    fn detect_anomalies(&self, data: &[MetricMeasurement]) -> QuantRS2Result<Vec<Anomaly>>;
309
310    /// Get detector name
311    fn name(&self) -> &str;
312
313    /// Get confidence threshold
314    fn confidence_threshold(&self) -> f64;
315}
316
317/// Correlation analysis trait
318pub trait CorrelationAnalyzer: std::fmt::Debug + Send + Sync {
319    /// Analyze correlations between metrics
320    fn analyze_correlations(
321        &self,
322        data: &HashMap<MetricType, Vec<MetricMeasurement>>,
323    ) -> QuantRS2Result<Vec<Correlation>>;
324
325    /// Get analyzer name
326    fn name(&self) -> &str;
327}
328
329/// Predictive modeling trait
330pub trait PredictiveModel: std::fmt::Debug + Send + Sync {
331    /// Predict future values
332    fn predict(
333        &self,
334        historical_data: &[MetricMeasurement],
335        horizon: Duration,
336    ) -> QuantRS2Result<Prediction>;
337
338    /// Update model with new data
339    fn update(&mut self, new_data: &[MetricMeasurement]) -> QuantRS2Result<()>;
340
341    /// Get model name
342    fn name(&self) -> &str;
343
344    /// Get model accuracy
345    fn accuracy(&self) -> f64;
346}
347
348/// Trend analysis result
349#[derive(Debug, Clone)]
350pub struct TrendAnalysis {
351    /// Trend direction
352    pub direction: TrendDirection,
353    /// Trend strength (0.0 to 1.0)
354    pub strength: f64,
355    /// Trend duration
356    pub duration: Duration,
357    /// Statistical significance
358    pub significance: f64,
359    /// Trend extrapolation
360    pub extrapolation: Option<f64>,
361}
362
363/// Trend direction
364#[derive(Debug, Clone, Copy, PartialEq, Eq)]
365pub enum TrendDirection {
366    Increasing,
367    Decreasing,
368    Stable,
369    Oscillating,
370    Unknown,
371}
372
373/// Anomaly detection result
374#[derive(Debug, Clone)]
375pub struct Anomaly {
376    /// Anomaly type
377    pub anomaly_type: AnomalyType,
378    /// Confidence score
379    pub confidence: f64,
380    /// Affected metric
381    pub metric: MetricType,
382    /// Anomaly timestamp
383    pub timestamp: SystemTime,
384    /// Anomaly description
385    pub description: String,
386    /// Suggested actions
387    pub suggested_actions: Vec<String>,
388}
389
390/// Types of anomalies
391#[derive(Debug, Clone, Copy, PartialEq, Eq)]
392pub enum AnomalyType {
393    Outlier,
394    PatternBreak,
395    Drift,
396    Spike,
397    PerformanceDegradation,
398    SystemFailure,
399}
400
401/// Correlation analysis result
402#[derive(Debug, Clone)]
403pub struct Correlation {
404    /// First metric
405    pub metric1: MetricType,
406    /// Second metric
407    pub metric2: MetricType,
408    /// Correlation coefficient
409    pub coefficient: f64,
410    /// Statistical significance
411    pub significance: f64,
412    /// Correlation type
413    pub correlation_type: CorrelationType,
414    /// Time lag (if any)
415    pub time_lag: Option<Duration>,
416}
417
418/// Types of correlations
419#[derive(Debug, Clone, Copy, PartialEq, Eq)]
420pub enum CorrelationType {
421    Positive,
422    Negative,
423    NonLinear,
424    Causal,
425    Spurious,
426}
427
428/// Prediction result
429#[derive(Debug, Clone)]
430pub struct Prediction {
431    /// Predicted values
432    pub predicted_values: Vec<(SystemTime, f64)>,
433    /// Confidence intervals
434    pub confidence_intervals: Vec<(f64, f64)>,
435    /// Prediction accuracy estimate
436    pub accuracy_estimate: f64,
437    /// Model used
438    pub model_name: String,
439    /// Prediction horizon
440    pub horizon: Duration,
441}
442
443/// Analysis result
444#[derive(Debug, Clone)]
445pub struct AnalysisResult {
446    /// Analysis type
447    pub analysis_type: String,
448    /// Result data
449    pub result_data: HashMap<String, String>,
450    /// Confidence score
451    pub confidence: f64,
452    /// Timestamp
453    pub timestamp: SystemTime,
454}
455
456/// Alert management system
457#[derive(Debug)]
458pub struct AlertManager {
459    /// Active alerts
460    active_alerts: HashMap<String, Alert>,
461    /// Alert rules
462    alert_rules: Vec<AlertRule>,
463    /// Alert handlers
464    alert_handlers: Vec<Box<dyn AlertHandler>>,
465    /// Alert history
466    alert_history: VecDeque<Alert>,
467    /// Alert suppression rules
468    suppression_rules: Vec<SuppressionRule>,
469}
470
471/// Alert definition
472#[derive(Debug, Clone)]
473pub struct Alert {
474    /// Alert ID
475    pub id: String,
476    /// Alert level
477    pub level: AlertLevel,
478    /// Alert message
479    pub message: String,
480    /// Affected metrics
481    pub affected_metrics: Vec<MetricType>,
482    /// Alert timestamp
483    pub timestamp: SystemTime,
484    /// Alert source
485    pub source: String,
486    /// Suggested actions
487    pub suggested_actions: Vec<String>,
488    /// Alert status
489    pub status: AlertStatus,
490}
491
492/// Alert severity levels
493#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
494pub enum AlertLevel {
495    Info,
496    Warning,
497    Critical,
498    Emergency,
499}
500
501/// Alert status
502#[derive(Debug, Clone, Copy, PartialEq, Eq)]
503pub enum AlertStatus {
504    Active,
505    Acknowledged,
506    Resolved,
507    Suppressed,
508}
509
510/// Alert rule definition
511#[derive(Debug, Clone)]
512pub struct AlertRule {
513    /// Rule ID
514    pub id: String,
515    /// Rule name
516    pub name: String,
517    /// Condition for triggering alert
518    pub condition: AlertCondition,
519    /// Alert level to generate
520    pub alert_level: AlertLevel,
521    /// Alert message template
522    pub message_template: String,
523    /// Cooldown period
524    pub cooldown_period: Duration,
525}
526
527/// Alert condition
528#[derive(Debug, Clone)]
529pub enum AlertCondition {
530    /// Threshold condition
531    Threshold {
532        metric: MetricType,
533        operator: ComparisonOperator,
534        threshold: f64,
535        duration: Duration,
536    },
537    /// Rate of change condition
538    RateOfChange {
539        metric: MetricType,
540        rate_threshold: f64,
541        time_window: Duration,
542    },
543    /// Anomaly detection condition
544    AnomalyDetected {
545        metric: MetricType,
546        confidence_threshold: f64,
547    },
548    /// Complex condition with multiple metrics
549    Complex {
550        expression: String,
551        required_metrics: Vec<MetricType>,
552    },
553}
554
555/// Comparison operators for alert conditions
556#[derive(Debug, Clone, Copy, PartialEq, Eq)]
557pub enum ComparisonOperator {
558    GreaterThan,
559    LessThan,
560    Equal,
561    NotEqual,
562    GreaterThanOrEqual,
563    LessThanOrEqual,
564}
565
566/// Alert handler trait
567pub trait AlertHandler: std::fmt::Debug + Send + Sync {
568    /// Handle an alert
569    fn handle_alert(&self, alert: &Alert) -> QuantRS2Result<()>;
570
571    /// Get handler name
572    fn name(&self) -> &str;
573
574    /// Check if handler can handle this alert level
575    fn can_handle(&self, level: AlertLevel) -> bool;
576}
577
578/// Alert suppression rule
579#[derive(Debug, Clone)]
580pub struct SuppressionRule {
581    /// Rule ID
582    pub id: String,
583    /// Condition for suppression
584    pub condition: SuppressionCondition,
585    /// Suppression duration
586    pub duration: Duration,
587    /// Rule description
588    pub description: String,
589}
590
591/// Suppression condition
592#[derive(Debug, Clone)]
593pub enum SuppressionCondition {
594    /// Suppress alerts of specific type
595    AlertType(String),
596    /// Suppress alerts during maintenance
597    MaintenanceWindow(SystemTime, SystemTime),
598    /// Suppress based on metric pattern
599    MetricPattern(MetricType, String),
600}
601
602/// Optimization advisor system
603#[derive(Debug)]
604pub struct OptimizationAdvisor {
605    /// Optimization strategies
606    optimization_strategies: HashMap<String, Box<dyn OptimizationStrategy>>,
607    /// Recommendation engine
608    recommendation_engine: RecommendationEngine,
609    /// Active recommendations
610    active_recommendations: Vec<OptimizationRecommendation>,
611    /// Historical recommendations
612    recommendation_history: VecDeque<OptimizationRecommendation>,
613}
614
615/// Optimization strategy trait
616pub trait OptimizationStrategy: std::fmt::Debug + Send + Sync {
617    /// Analyze performance data and generate recommendations
618    fn analyze(&self, data: &RealtimeDataStore) -> QuantRS2Result<Vec<OptimizationRecommendation>>;
619
620    /// Get strategy name
621    fn name(&self) -> &str;
622
623    /// Get strategy priority
624    fn priority(&self) -> u32;
625}
626
627/// Optimization recommendation
628#[derive(Debug, Clone)]
629pub struct OptimizationRecommendation {
630    /// Recommendation ID
631    pub id: String,
632    /// Recommendation type
633    pub recommendation_type: RecommendationType,
634    /// Description
635    pub description: String,
636    /// Affected components
637    pub affected_components: Vec<String>,
638    /// Expected improvement
639    pub expected_improvement: ExpectedImprovement,
640    /// Implementation difficulty
641    pub implementation_difficulty: DifficultyLevel,
642    /// Recommendation priority
643    pub priority: RecommendationPriority,
644    /// Timestamp
645    pub timestamp: SystemTime,
646}
647
648/// Types of optimization recommendations
649#[derive(Debug, Clone, Copy, PartialEq, Eq)]
650pub enum RecommendationType {
651    GateOptimization,
652    CalibrationAdjustment,
653    CircuitOptimization,
654    ResourceReallocation,
655    EnvironmentalAdjustment,
656    MaintenanceRequired,
657    UpgradeRecommendation,
658}
659
660/// Expected improvement from recommendation
661#[derive(Debug, Clone)]
662pub struct ExpectedImprovement {
663    /// Fidelity improvement
664    pub fidelity_improvement: Option<f64>,
665    /// Speed improvement
666    pub speed_improvement: Option<f64>,
667    /// Error rate reduction
668    pub error_rate_reduction: Option<f64>,
669    /// Resource savings
670    pub resource_savings: Option<f64>,
671}
672
673/// Implementation difficulty levels
674#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
675pub enum DifficultyLevel {
676    Easy,
677    Medium,
678    Hard,
679    ExpertRequired,
680}
681
682/// Recommendation priority levels
683#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
684pub enum RecommendationPriority {
685    Low,
686    Medium,
687    High,
688    Critical,
689}
690
691/// Recommendation engine
692#[derive(Debug)]
693pub struct RecommendationEngine {
694    /// Machine learning models for recommendations
695    ml_models: HashMap<String, Box<dyn MLModel>>,
696    /// Rule-based recommendation rules
697    rule_based_rules: Vec<RecommendationRule>,
698    /// Knowledge base
699    knowledge_base: KnowledgeBase,
700}
701
702/// Machine learning model trait
703pub trait MLModel: std::fmt::Debug + Send + Sync {
704    /// Train model with historical data
705    fn train(&mut self, training_data: &[TrainingExample]) -> QuantRS2Result<()>;
706
707    /// Predict recommendations
708    fn predict(
709        &self,
710        input_data: &[MetricMeasurement],
711    ) -> QuantRS2Result<Vec<OptimizationRecommendation>>;
712
713    /// Get model accuracy
714    fn accuracy(&self) -> f64;
715
716    /// Get model name
717    fn name(&self) -> &str;
718}
719
720/// Training example for ML models
721#[derive(Debug, Clone)]
722pub struct TrainingExample {
723    /// Input metrics
724    pub input_metrics: Vec<MetricMeasurement>,
725    /// Expected recommendation
726    pub expected_recommendation: OptimizationRecommendation,
727    /// Actual outcome
728    pub actual_outcome: Option<OutcomeMetrics>,
729}
730
731/// Outcome metrics after applying recommendation
732#[derive(Debug, Clone)]
733pub struct OutcomeMetrics {
734    /// Performance improvement achieved
735    pub performance_improvement: f64,
736    /// Implementation success
737    pub implementation_success: bool,
738    /// Time to implement
739    pub implementation_time: Duration,
740    /// Side effects observed
741    pub side_effects: Vec<String>,
742}
743
744/// Rule-based recommendation rule
745#[derive(Debug, Clone)]
746pub struct RecommendationRule {
747    /// Rule ID
748    pub id: String,
749    /// Rule condition
750    pub condition: String,
751    /// Recommendation template
752    pub recommendation_template: OptimizationRecommendation,
753    /// Rule weight
754    pub weight: f64,
755}
756
757/// Knowledge base for optimization
758#[derive(Debug)]
759pub struct KnowledgeBase {
760    /// Best practices database
761    best_practices: HashMap<String, BestPractice>,
762    /// Common issues and solutions
763    issue_solutions: HashMap<String, Solution>,
764    /// Platform-specific knowledge
765    platform_knowledge: HashMap<HardwarePlatform, PlatformKnowledge>,
766}
767
768/// Best practice entry
769#[derive(Debug, Clone)]
770pub struct BestPractice {
771    /// Practice ID
772    pub id: String,
773    /// Description
774    pub description: String,
775    /// Applicable platforms
776    pub applicable_platforms: Vec<HardwarePlatform>,
777    /// Expected benefits
778    pub expected_benefits: Vec<String>,
779    /// Implementation steps
780    pub implementation_steps: Vec<String>,
781}
782
783/// Solution entry
784#[derive(Debug, Clone)]
785pub struct Solution {
786    /// Solution ID
787    pub id: String,
788    /// Problem description
789    pub problem_description: String,
790    /// Solution description
791    pub solution_description: String,
792    /// Success rate
793    pub success_rate: f64,
794    /// Implementation complexity
795    pub complexity: DifficultyLevel,
796}
797
798/// Platform-specific knowledge
799#[derive(Debug, Clone)]
800pub struct PlatformKnowledge {
801    /// Platform type
802    pub platform: HardwarePlatform,
803    /// Known limitations
804    pub known_limitations: Vec<String>,
805    /// Optimization opportunities
806    pub optimization_opportunities: Vec<String>,
807    /// Common failure modes
808    pub common_failure_modes: Vec<String>,
809    /// Vendor-specific tips
810    pub vendor_tips: Vec<String>,
811}
812
813/// Performance dashboard
814#[derive(Debug)]
815pub struct PerformanceDashboard {
816    /// Dashboard widgets
817    widgets: HashMap<String, Box<dyn DashboardWidget>>,
818    /// Dashboard layout
819    layout: DashboardLayout,
820    /// Update frequency
821    update_frequency: Duration,
822    /// Dashboard state
823    dashboard_state: DashboardState,
824}
825
826/// Dashboard widget trait
827pub trait DashboardWidget: std::fmt::Debug + Send + Sync {
828    /// Render widget with current data
829    fn render(&self, data: &RealtimeDataStore) -> QuantRS2Result<WidgetData>;
830
831    /// Get widget configuration
832    fn get_config(&self) -> WidgetConfig;
833
834    /// Update widget configuration
835    fn update_config(&mut self, config: WidgetConfig) -> QuantRS2Result<()>;
836}
837
838/// Widget data for rendering
839#[derive(Debug, Clone)]
840pub struct WidgetData {
841    /// Widget type
842    pub widget_type: String,
843    /// Data payload
844    pub data: HashMap<String, String>,
845    /// Visualization hints
846    pub visualization_hints: Vec<String>,
847    /// Update timestamp
848    pub timestamp: SystemTime,
849}
850
851/// Widget configuration
852#[derive(Debug, Clone)]
853pub struct WidgetConfig {
854    /// Widget title
855    pub title: String,
856    /// Widget size
857    pub size: (u32, u32),
858    /// Widget position
859    pub position: (u32, u32),
860    /// Refresh rate
861    pub refresh_rate: Duration,
862    /// Data source
863    pub data_source: String,
864    /// Display options
865    pub display_options: HashMap<String, String>,
866}
867
868/// Dashboard layout
869#[derive(Debug, Clone)]
870pub struct DashboardLayout {
871    /// Layout type
872    pub layout_type: LayoutType,
873    /// Grid dimensions
874    pub grid_dimensions: (u32, u32),
875    /// Widget positions
876    pub widget_positions: HashMap<String, (u32, u32)>,
877}
878
879/// Layout types
880#[derive(Debug, Clone, Copy, PartialEq, Eq)]
881pub enum LayoutType {
882    Grid,
883    Flexible,
884    Stacked,
885    Tabbed,
886}
887
888/// Dashboard state
889#[derive(Debug, Clone)]
890pub struct DashboardState {
891    /// Currently active widgets
892    pub active_widgets: HashSet<String>,
893    /// Last update time
894    pub last_update: SystemTime,
895    /// Dashboard mode
896    pub mode: DashboardMode,
897}
898
899/// Dashboard modes
900#[derive(Debug, Clone, Copy, PartialEq, Eq)]
901pub enum DashboardMode {
902    Monitoring,
903    Analysis,
904    Debugging,
905    Maintenance,
906}
907
908/// Export manager
909#[derive(Debug)]
910pub struct ExportManager {
911    /// Configured exporters
912    exporters: HashMap<ExportFormat, Box<dyn DataExporter>>,
913    /// Export queue
914    export_queue: VecDeque<ExportTask>,
915    /// Export statistics
916    export_stats: ExportStatistics,
917}
918
919/// Data exporter trait
920pub trait DataExporter: std::fmt::Debug + Send + Sync {
921    /// Export data in specific format
922    fn export(
923        &self,
924        data: &[MetricMeasurement],
925        destination: &ExportDestination,
926    ) -> QuantRS2Result<()>;
927
928    /// Get supported format
929    fn format(&self) -> ExportFormat;
930
931    /// Validate export configuration
932    fn validate_config(&self, destination: &ExportDestination) -> QuantRS2Result<()>;
933}
934
935/// Export task
936#[derive(Debug, Clone)]
937pub struct ExportTask {
938    /// Task ID
939    pub id: String,
940    /// Data to export
941    pub data_range: (SystemTime, SystemTime),
942    /// Export format
943    pub format: ExportFormat,
944    /// Export destination
945    pub destination: ExportDestination,
946    /// Task priority
947    pub priority: TaskPriority,
948    /// Created timestamp
949    pub created: SystemTime,
950}
951
952/// Task priority levels
953#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord)]
954pub enum TaskPriority {
955    Low,
956    Normal,
957    High,
958    Urgent,
959}
960
961/// Export statistics
962#[derive(Debug, Clone)]
963pub struct ExportStatistics {
964    /// Total exports completed
965    pub total_exports: u64,
966    /// Failed exports
967    pub failed_exports: u64,
968    /// Average export time
969    pub average_export_time: Duration,
970    /// Data volume exported
971    pub total_data_volume: u64,
972    /// Last export time
973    pub last_export_time: SystemTime,
974}
975
976/// Monitoring status
977#[derive(Debug, Clone)]
978pub struct MonitoringStatus {
979    /// Overall status
980    pub overall_status: SystemStatus,
981    /// Platform statuses
982    pub platform_statuses: HashMap<HardwarePlatform, PlatformStatus>,
983    /// Active collectors
984    pub active_collectors: usize,
985    /// Data points collected
986    pub total_data_points: u64,
987    /// Active alerts
988    pub active_alerts: usize,
989    /// System uptime
990    pub uptime: Duration,
991}
992
993/// System status levels
994#[derive(Debug, Clone, Copy, PartialEq, Eq)]
995pub enum SystemStatus {
996    Healthy,
997    Degraded,
998    Critical,
999    Offline,
1000}
1001
1002/// Platform status
1003#[derive(Debug, Clone)]
1004pub struct PlatformStatus {
1005    /// Connection status
1006    pub connection_status: ConnectionStatus,
1007    /// Last data collection time
1008    pub last_data_collection: SystemTime,
1009    /// Data collection rate
1010    pub collection_rate: f64,
1011    /// Error rate
1012    pub error_rate: f64,
1013    /// Platform-specific metrics
1014    pub platform_metrics: HashMap<String, f64>,
1015}
1016
1017/// Connection status
1018#[derive(Debug, Clone, Copy, PartialEq, Eq)]
1019pub enum ConnectionStatus {
1020    Connected,
1021    Disconnected,
1022    Reconnecting,
1023    Error,
1024}
1025
1026impl RealtimeMonitor {
1027    /// Create a new real-time monitor
1028    pub fn new(config: MonitoringConfig) -> QuantRS2Result<Self> {
1029        Ok(Self {
1030            config: config.clone(),
1031            collectors: Arc::new(RwLock::new(HashMap::new())),
1032            data_store: Arc::new(RwLock::new(RealtimeDataStore::new(
1033                config.data_retention_period,
1034            ))),
1035            analytics_engine: Arc::new(RwLock::new(AnalyticsEngine::new())),
1036            alert_manager: Arc::new(RwLock::new(AlertManager::new(config.alert_thresholds))),
1037            optimization_advisor: Arc::new(RwLock::new(OptimizationAdvisor::new())),
1038            dashboard: Arc::new(RwLock::new(PerformanceDashboard::new())),
1039            export_manager: Arc::new(RwLock::new(ExportManager::new(config.export_settings))),
1040            monitoring_status: Arc::new(RwLock::new(MonitoringStatus::new())),
1041        })
1042    }
1043
1044    /// Start monitoring
1045    pub fn start_monitoring(&self) -> QuantRS2Result<()> {
1046        // Initialize collectors for each configured platform
1047        self.initialize_collectors()?;
1048
1049        // Start data collection threads
1050        self.start_data_collection_threads()?;
1051
1052        // Start analytics engine
1053        self.start_analytics_engine()?;
1054
1055        // Start alert processing
1056        self.start_alert_processing()?;
1057
1058        // Start export processing
1059        self.start_export_processing()?;
1060
1061        // Update monitoring status
1062        {
1063            let mut status = self.monitoring_status.write().unwrap();
1064            status.overall_status = SystemStatus::Healthy;
1065        }
1066
1067        Ok(())
1068    }
1069
1070    /// Stop monitoring
1071    pub fn stop_monitoring(&self) -> QuantRS2Result<()> {
1072        // Implementation would stop all background threads and cleanup
1073        Ok(())
1074    }
1075
1076    /// Register a metric collector for a platform
1077    pub fn register_collector(
1078        &self,
1079        platform: HardwarePlatform,
1080        collector: Box<dyn MetricCollector>,
1081    ) -> QuantRS2Result<()> {
1082        let mut collectors = self.collectors.write().unwrap();
1083        collectors.insert(platform, collector);
1084        Ok(())
1085    }
1086
1087    /// Get current metrics
1088    pub fn get_current_metrics(
1089        &self,
1090        metric_types: Option<Vec<MetricType>>,
1091    ) -> QuantRS2Result<Vec<MetricMeasurement>> {
1092        let data_store = self.data_store.read().unwrap();
1093
1094        let mut results = Vec::new();
1095
1096        match metric_types {
1097            Some(types) => {
1098                for metric_type in types {
1099                    if let Some(time_series) = data_store.time_series.get(&metric_type) {
1100                        if let Some(latest) = time_series.back() {
1101                            results.push(latest.clone());
1102                        }
1103                    }
1104                }
1105            }
1106            None => {
1107                for time_series in data_store.time_series.values() {
1108                    if let Some(latest) = time_series.back() {
1109                        results.push(latest.clone());
1110                    }
1111                }
1112            }
1113        }
1114
1115        Ok(results)
1116    }
1117
1118    /// Get historical metrics
1119    pub fn get_historical_metrics(
1120        &self,
1121        metric_type: MetricType,
1122        start_time: SystemTime,
1123        end_time: SystemTime,
1124    ) -> QuantRS2Result<Vec<MetricMeasurement>> {
1125        let data_store = self.data_store.read().unwrap();
1126
1127        if let Some(time_series) = data_store.time_series.get(&metric_type) {
1128            let filtered: Vec<MetricMeasurement> = time_series
1129                .iter()
1130                .filter(|measurement| {
1131                    measurement.timestamp >= start_time && measurement.timestamp <= end_time
1132                })
1133                .cloned()
1134                .collect();
1135
1136            Ok(filtered)
1137        } else {
1138            Ok(Vec::new())
1139        }
1140    }
1141
1142    /// Get aggregated statistics
1143    pub fn get_aggregated_stats(
1144        &self,
1145        metric_type: MetricType,
1146    ) -> QuantRS2Result<Option<AggregatedStats>> {
1147        let data_store = self.data_store.read().unwrap();
1148        Ok(data_store.aggregated_stats.get(&metric_type).cloned())
1149    }
1150
1151    /// Get active alerts
1152    pub fn get_active_alerts(&self) -> QuantRS2Result<Vec<Alert>> {
1153        let alert_manager = self.alert_manager.read().unwrap();
1154        Ok(alert_manager.active_alerts.values().cloned().collect())
1155    }
1156
1157    /// Get optimization recommendations
1158    pub fn get_optimization_recommendations(
1159        &self,
1160    ) -> QuantRS2Result<Vec<OptimizationRecommendation>> {
1161        let optimization_advisor = self.optimization_advisor.read().unwrap();
1162        Ok(optimization_advisor.active_recommendations.clone())
1163    }
1164
1165    /// Get monitoring status
1166    pub fn get_monitoring_status(&self) -> MonitoringStatus {
1167        self.monitoring_status.read().unwrap().clone()
1168    }
1169
1170    /// Force data collection from all platforms
1171    pub fn collect_metrics_now(&self) -> QuantRS2Result<usize> {
1172        let collectors = self.collectors.read().unwrap();
1173        let mut total_metrics = 0;
1174
1175        for collector in collectors.values() {
1176            let metrics = collector.collect_metrics()?;
1177            total_metrics += metrics.len();
1178
1179            // Store metrics
1180            self.store_metrics(metrics)?;
1181        }
1182
1183        Ok(total_metrics)
1184    }
1185
1186    /// Trigger analytics update
1187    pub fn update_analytics(&self) -> QuantRS2Result<()> {
1188        let data_store = self.data_store.read().unwrap();
1189        let analytics = self.analytics_engine.write().unwrap();
1190
1191        // Run trend analysis on all metrics
1192        for (metric_type, time_series) in &data_store.time_series {
1193            if let Some(analyzer) = analytics.trend_analyzers.get(metric_type) {
1194                let data: Vec<MetricMeasurement> = time_series.iter().cloned().collect();
1195                let _trend = analyzer.analyze_trend(&data)?;
1196                // Store trend analysis results
1197            }
1198        }
1199
1200        Ok(())
1201    }
1202
1203    // Private implementation methods
1204    fn initialize_collectors(&self) -> QuantRS2Result<()> {
1205        // Initialize collectors for each configured platform
1206        for (platform, platform_config) in &self.config.platform_configs {
1207            // Create appropriate collector based on platform type
1208            let collector = self.create_collector_for_platform(*platform, platform_config)?;
1209            self.register_collector(*platform, collector)?;
1210        }
1211        Ok(())
1212    }
1213
1214    fn create_collector_for_platform(
1215        &self,
1216        platform: HardwarePlatform,
1217        config: &PlatformMonitoringConfig,
1218    ) -> QuantRS2Result<Box<dyn MetricCollector>> {
1219        match platform {
1220            HardwarePlatform::Superconducting => {
1221                Ok(Box::new(SuperconductingCollector::new(config.clone())))
1222            }
1223            HardwarePlatform::TrappedIon => Ok(Box::new(TrappedIonCollector::new(config.clone()))),
1224            HardwarePlatform::Photonic => Ok(Box::new(PhotonicCollector::new(config.clone()))),
1225            HardwarePlatform::NeutralAtom => {
1226                Ok(Box::new(NeutralAtomCollector::new(config.clone())))
1227            }
1228            _ => Ok(Box::new(GenericCollector::new(config.clone()))),
1229        }
1230    }
1231
1232    fn start_data_collection_threads(&self) -> QuantRS2Result<()> {
1233        // Start background threads for data collection
1234        let collectors = Arc::clone(&self.collectors);
1235        let data_store = Arc::clone(&self.data_store);
1236        let monitoring_interval = self.config.monitoring_interval;
1237
1238        thread::spawn(move || loop {
1239            thread::sleep(monitoring_interval);
1240
1241            let collectors_guard = collectors.read().unwrap();
1242            for collector in collectors_guard.values() {
1243                if let Ok(metrics) = collector.collect_metrics() {
1244                    let mut store = data_store.write().unwrap();
1245                    for metric in metrics {
1246                        store.add_measurement(metric);
1247                    }
1248                }
1249            }
1250        });
1251
1252        Ok(())
1253    }
1254
1255    fn start_analytics_engine(&self) -> QuantRS2Result<()> {
1256        // Start analytics processing
1257        Ok(())
1258    }
1259
1260    fn start_alert_processing(&self) -> QuantRS2Result<()> {
1261        // Start alert processing
1262        Ok(())
1263    }
1264
1265    fn start_export_processing(&self) -> QuantRS2Result<()> {
1266        // Start export processing
1267        Ok(())
1268    }
1269
1270    fn store_metrics(&self, metrics: Vec<MetricMeasurement>) -> QuantRS2Result<()> {
1271        let mut data_store = self.data_store.write().unwrap();
1272        for metric in metrics {
1273            data_store.add_measurement(metric);
1274        }
1275        Ok(())
1276    }
1277}
1278
1279// Implementation of various collector types
1280#[derive(Debug)]
1281struct SuperconductingCollector {
1282    config: PlatformMonitoringConfig,
1283    connected: bool,
1284}
1285
1286impl SuperconductingCollector {
1287    fn new(config: PlatformMonitoringConfig) -> Self {
1288        Self {
1289            config,
1290            connected: false,
1291        }
1292    }
1293}
1294
1295impl MetricCollector for SuperconductingCollector {
1296    fn collect_metrics(&self) -> QuantRS2Result<Vec<MetricMeasurement>> {
1297        // Simulate collecting superconducting metrics
1298        let mut metrics = Vec::new();
1299
1300        // Gate error rate
1301        metrics.push(MetricMeasurement {
1302            metric_type: MetricType::GateErrorRate,
1303            value: MetricValue::Float(0.001),
1304            timestamp: SystemTime::now(),
1305            qubit: Some(QubitId::new(0)),
1306            gate_type: Some(NativeGateType::CNOT),
1307            metadata: HashMap::new(),
1308            uncertainty: Some(0.0001),
1309        });
1310
1311        // Qubit coherence time
1312        metrics.push(MetricMeasurement {
1313            metric_type: MetricType::QubitCoherenceTime,
1314            value: MetricValue::Duration(Duration::from_micros(100)),
1315            timestamp: SystemTime::now(),
1316            qubit: Some(QubitId::new(0)),
1317            gate_type: None,
1318            metadata: HashMap::new(),
1319            uncertainty: Some(0.01),
1320        });
1321
1322        Ok(metrics)
1323    }
1324
1325    fn supported_metrics(&self) -> HashSet<MetricType> {
1326        let mut metrics = HashSet::new();
1327        metrics.insert(MetricType::GateErrorRate);
1328        metrics.insert(MetricType::QubitCoherenceTime);
1329        metrics.insert(MetricType::QubitReadoutError);
1330        metrics.insert(MetricType::QubitTemperature);
1331        metrics
1332    }
1333
1334    fn platform(&self) -> HardwarePlatform {
1335        HardwarePlatform::Superconducting
1336    }
1337
1338    fn initialize(&mut self) -> QuantRS2Result<()> {
1339        self.connected = true;
1340        Ok(())
1341    }
1342
1343    fn is_connected(&self) -> bool {
1344        self.connected
1345    }
1346
1347    fn disconnect(&mut self) -> QuantRS2Result<()> {
1348        self.connected = false;
1349        Ok(())
1350    }
1351}
1352
1353// Similar implementations for other collector types
1354#[derive(Debug)]
1355struct TrappedIonCollector {
1356    config: PlatformMonitoringConfig,
1357    connected: bool,
1358}
1359
1360impl TrappedIonCollector {
1361    fn new(config: PlatformMonitoringConfig) -> Self {
1362        Self {
1363            config,
1364            connected: false,
1365        }
1366    }
1367}
1368
1369impl MetricCollector for TrappedIonCollector {
1370    fn collect_metrics(&self) -> QuantRS2Result<Vec<MetricMeasurement>> {
1371        Ok(vec![])
1372    }
1373
1374    fn supported_metrics(&self) -> HashSet<MetricType> {
1375        HashSet::new()
1376    }
1377
1378    fn platform(&self) -> HardwarePlatform {
1379        HardwarePlatform::TrappedIon
1380    }
1381
1382    fn initialize(&mut self) -> QuantRS2Result<()> {
1383        self.connected = true;
1384        Ok(())
1385    }
1386
1387    fn is_connected(&self) -> bool {
1388        self.connected
1389    }
1390
1391    fn disconnect(&mut self) -> QuantRS2Result<()> {
1392        self.connected = false;
1393        Ok(())
1394    }
1395}
1396
1397#[derive(Debug)]
1398struct PhotonicCollector {
1399    config: PlatformMonitoringConfig,
1400    connected: bool,
1401}
1402
1403impl PhotonicCollector {
1404    fn new(config: PlatformMonitoringConfig) -> Self {
1405        Self {
1406            config,
1407            connected: false,
1408        }
1409    }
1410}
1411
1412impl MetricCollector for PhotonicCollector {
1413    fn collect_metrics(&self) -> QuantRS2Result<Vec<MetricMeasurement>> {
1414        Ok(vec![])
1415    }
1416
1417    fn supported_metrics(&self) -> HashSet<MetricType> {
1418        HashSet::new()
1419    }
1420
1421    fn platform(&self) -> HardwarePlatform {
1422        HardwarePlatform::Photonic
1423    }
1424
1425    fn initialize(&mut self) -> QuantRS2Result<()> {
1426        self.connected = true;
1427        Ok(())
1428    }
1429
1430    fn is_connected(&self) -> bool {
1431        self.connected
1432    }
1433
1434    fn disconnect(&mut self) -> QuantRS2Result<()> {
1435        self.connected = false;
1436        Ok(())
1437    }
1438}
1439
1440#[derive(Debug)]
1441struct NeutralAtomCollector {
1442    config: PlatformMonitoringConfig,
1443    connected: bool,
1444}
1445
1446impl NeutralAtomCollector {
1447    fn new(config: PlatformMonitoringConfig) -> Self {
1448        Self {
1449            config,
1450            connected: false,
1451        }
1452    }
1453}
1454
1455impl MetricCollector for NeutralAtomCollector {
1456    fn collect_metrics(&self) -> QuantRS2Result<Vec<MetricMeasurement>> {
1457        Ok(vec![])
1458    }
1459
1460    fn supported_metrics(&self) -> HashSet<MetricType> {
1461        HashSet::new()
1462    }
1463
1464    fn platform(&self) -> HardwarePlatform {
1465        HardwarePlatform::NeutralAtom
1466    }
1467
1468    fn initialize(&mut self) -> QuantRS2Result<()> {
1469        self.connected = true;
1470        Ok(())
1471    }
1472
1473    fn is_connected(&self) -> bool {
1474        self.connected
1475    }
1476
1477    fn disconnect(&mut self) -> QuantRS2Result<()> {
1478        self.connected = false;
1479        Ok(())
1480    }
1481}
1482
1483#[derive(Debug)]
1484struct GenericCollector {
1485    config: PlatformMonitoringConfig,
1486    connected: bool,
1487}
1488
1489impl GenericCollector {
1490    fn new(config: PlatformMonitoringConfig) -> Self {
1491        Self {
1492            config,
1493            connected: false,
1494        }
1495    }
1496}
1497
1498impl MetricCollector for GenericCollector {
1499    fn collect_metrics(&self) -> QuantRS2Result<Vec<MetricMeasurement>> {
1500        Ok(vec![])
1501    }
1502
1503    fn supported_metrics(&self) -> HashSet<MetricType> {
1504        HashSet::new()
1505    }
1506
1507    fn platform(&self) -> HardwarePlatform {
1508        HardwarePlatform::Universal
1509    }
1510
1511    fn initialize(&mut self) -> QuantRS2Result<()> {
1512        self.connected = true;
1513        Ok(())
1514    }
1515
1516    fn is_connected(&self) -> bool {
1517        self.connected
1518    }
1519
1520    fn disconnect(&mut self) -> QuantRS2Result<()> {
1521        self.connected = false;
1522        Ok(())
1523    }
1524}
1525
1526// Implementation of data store and other components
1527impl RealtimeDataStore {
1528    fn new(_retention_period: Duration) -> Self {
1529        Self {
1530            time_series: HashMap::new(),
1531            aggregated_stats: HashMap::new(),
1532            retention_settings: HashMap::new(),
1533            current_data_size: 0,
1534            max_data_size: 1_000_000, // 1M measurements max
1535        }
1536    }
1537
1538    fn add_measurement(&mut self, measurement: MetricMeasurement) {
1539        let metric_type = measurement.metric_type.clone();
1540
1541        // Add to time series
1542        let time_series = self
1543            .time_series
1544            .entry(metric_type.clone())
1545            .or_insert_with(VecDeque::new);
1546        time_series.push_back(measurement.clone());
1547
1548        // Update aggregated stats
1549        self.update_aggregated_stats(metric_type, &measurement);
1550
1551        // Clean up old data if necessary
1552        self.cleanup_old_data();
1553    }
1554
1555    fn update_aggregated_stats(
1556        &mut self,
1557        metric_type: MetricType,
1558        measurement: &MetricMeasurement,
1559    ) {
1560        // Update statistical aggregates
1561        let stats = self
1562            .aggregated_stats
1563            .entry(metric_type)
1564            .or_insert_with(|| AggregatedStats {
1565                mean: 0.0,
1566                std_dev: 0.0,
1567                min: f64::INFINITY,
1568                max: f64::NEG_INFINITY,
1569                median: 0.0,
1570                p95: 0.0,
1571                p99: 0.0,
1572                sample_count: 0,
1573                last_updated: SystemTime::now(),
1574            });
1575
1576        if let MetricValue::Float(value) = measurement.value {
1577            stats.sample_count += 1;
1578            stats.min = stats.min.min(value);
1579            stats.max = stats.max.max(value);
1580            stats.last_updated = SystemTime::now();
1581
1582            // Update mean (simplified)
1583            stats.mean =
1584                (stats.mean * (stats.sample_count - 1) as f64 + value) / stats.sample_count as f64;
1585        }
1586    }
1587
1588    fn cleanup_old_data(&mut self) {
1589        // Remove old data based on retention settings
1590        // Implementation would be more sophisticated in practice
1591    }
1592}
1593
1594impl AnalyticsEngine {
1595    fn new() -> Self {
1596        Self {
1597            trend_analyzers: HashMap::new(),
1598            anomaly_detectors: HashMap::new(),
1599            correlation_analyzers: Vec::new(),
1600            predictive_models: HashMap::new(),
1601            analysis_cache: HashMap::new(),
1602        }
1603    }
1604}
1605
1606impl AlertManager {
1607    fn new(_thresholds: AlertThresholds) -> Self {
1608        Self {
1609            active_alerts: HashMap::new(),
1610            alert_rules: Vec::new(),
1611            alert_handlers: Vec::new(),
1612            alert_history: VecDeque::new(),
1613            suppression_rules: Vec::new(),
1614        }
1615    }
1616}
1617
1618impl OptimizationAdvisor {
1619    fn new() -> Self {
1620        Self {
1621            optimization_strategies: HashMap::new(),
1622            recommendation_engine: RecommendationEngine::new(),
1623            active_recommendations: Vec::new(),
1624            recommendation_history: VecDeque::new(),
1625        }
1626    }
1627}
1628
1629impl RecommendationEngine {
1630    fn new() -> Self {
1631        Self {
1632            ml_models: HashMap::new(),
1633            rule_based_rules: Vec::new(),
1634            knowledge_base: KnowledgeBase::new(),
1635        }
1636    }
1637}
1638
1639impl KnowledgeBase {
1640    fn new() -> Self {
1641        Self {
1642            best_practices: HashMap::new(),
1643            issue_solutions: HashMap::new(),
1644            platform_knowledge: HashMap::new(),
1645        }
1646    }
1647}
1648
1649impl PerformanceDashboard {
1650    fn new() -> Self {
1651        Self {
1652            widgets: HashMap::new(),
1653            layout: DashboardLayout {
1654                layout_type: LayoutType::Grid,
1655                grid_dimensions: (4, 3),
1656                widget_positions: HashMap::new(),
1657            },
1658            update_frequency: Duration::from_secs(1),
1659            dashboard_state: DashboardState {
1660                active_widgets: HashSet::new(),
1661                last_update: SystemTime::now(),
1662                mode: DashboardMode::Monitoring,
1663            },
1664        }
1665    }
1666}
1667
1668impl ExportManager {
1669    fn new(_settings: ExportSettings) -> Self {
1670        Self {
1671            exporters: HashMap::new(),
1672            export_queue: VecDeque::new(),
1673            export_stats: ExportStatistics {
1674                total_exports: 0,
1675                failed_exports: 0,
1676                average_export_time: Duration::from_millis(0),
1677                total_data_volume: 0,
1678                last_export_time: SystemTime::now(),
1679            },
1680        }
1681    }
1682}
1683
1684impl MonitoringStatus {
1685    fn new() -> Self {
1686        Self {
1687            overall_status: SystemStatus::Offline,
1688            platform_statuses: HashMap::new(),
1689            active_collectors: 0,
1690            total_data_points: 0,
1691            active_alerts: 0,
1692            uptime: Duration::from_secs(0),
1693        }
1694    }
1695}
1696
1697// Default implementations
1698impl Default for MonitoringConfig {
1699    fn default() -> Self {
1700        Self {
1701            monitoring_interval: Duration::from_secs(1),
1702            data_retention_period: Duration::from_secs(24 * 3600), // 24 hours
1703            alert_thresholds: AlertThresholds::default(),
1704            enabled_metrics: HashSet::new(),
1705            platform_configs: HashMap::new(),
1706            export_settings: ExportSettings::default(),
1707        }
1708    }
1709}
1710
1711impl Default for AlertThresholds {
1712    fn default() -> Self {
1713        Self {
1714            max_gate_error_rate: 0.01,
1715            max_readout_error_rate: 0.05,
1716            min_coherence_time: Duration::from_micros(50),
1717            max_calibration_drift: 0.1,
1718            max_temperature: 300.0, // mK
1719            max_queue_depth: 1000,
1720            max_execution_time: Duration::from_secs(300),
1721        }
1722    }
1723}
1724
1725impl Default for ExportSettings {
1726    fn default() -> Self {
1727        Self {
1728            enable_export: false,
1729            export_formats: vec![ExportFormat::JSON],
1730            export_destinations: vec![],
1731            export_frequency: Duration::from_secs(3600), // 1 hour
1732            compression_enabled: true,
1733        }
1734    }
1735}
1736
1737// Display implementations
1738impl fmt::Display for MetricType {
1739    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
1740        match self {
1741            MetricType::GateErrorRate => write!(f, "Gate Error Rate"),
1742            MetricType::QubitCoherenceTime => write!(f, "Qubit Coherence Time"),
1743            MetricType::SystemUptime => write!(f, "System Uptime"),
1744            MetricType::Custom(name) => write!(f, "Custom: {}", name),
1745            _ => write!(f, "{:?}", self),
1746        }
1747    }
1748}
1749
1750impl fmt::Display for AlertLevel {
1751    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
1752        match self {
1753            AlertLevel::Info => write!(f, "INFO"),
1754            AlertLevel::Warning => write!(f, "WARNING"),
1755            AlertLevel::Critical => write!(f, "CRITICAL"),
1756            AlertLevel::Emergency => write!(f, "EMERGENCY"),
1757        }
1758    }
1759}
1760
1761#[cfg(test)]
1762mod tests {
1763    use super::*;
1764
1765    #[test]
1766    fn test_realtime_monitor_creation() {
1767        let config = MonitoringConfig::default();
1768        let monitor = RealtimeMonitor::new(config);
1769        assert!(monitor.is_ok());
1770    }
1771
1772    #[test]
1773    fn test_metric_measurement() {
1774        let measurement = MetricMeasurement {
1775            metric_type: MetricType::GateErrorRate,
1776            value: MetricValue::Float(0.001),
1777            timestamp: SystemTime::now(),
1778            qubit: Some(QubitId::new(0)),
1779            gate_type: Some(NativeGateType::CNOT),
1780            metadata: HashMap::new(),
1781            uncertainty: Some(0.0001),
1782        };
1783
1784        assert_eq!(measurement.metric_type, MetricType::GateErrorRate);
1785        assert!(matches!(measurement.value, MetricValue::Float(0.001)));
1786    }
1787
1788    #[test]
1789    fn test_superconducting_collector() {
1790        let config = PlatformMonitoringConfig {
1791            platform: HardwarePlatform::Superconducting,
1792            monitored_metrics: HashSet::new(),
1793            sampling_rates: HashMap::new(),
1794            custom_thresholds: HashMap::new(),
1795            connection_settings: HashMap::new(),
1796        };
1797
1798        let mut collector = SuperconductingCollector::new(config);
1799        assert_eq!(collector.platform(), HardwarePlatform::Superconducting);
1800        assert!(!collector.is_connected());
1801
1802        assert!(collector.initialize().is_ok());
1803        assert!(collector.is_connected());
1804
1805        let metrics = collector.collect_metrics();
1806        assert!(metrics.is_ok());
1807        assert!(!metrics.unwrap().is_empty());
1808    }
1809
1810    #[test]
1811    fn test_data_store() {
1812        let mut store = RealtimeDataStore::new(Duration::from_secs(3600));
1813
1814        let measurement = MetricMeasurement {
1815            metric_type: MetricType::GateErrorRate,
1816            value: MetricValue::Float(0.001),
1817            timestamp: SystemTime::now(),
1818            qubit: None,
1819            gate_type: None,
1820            metadata: HashMap::new(),
1821            uncertainty: None,
1822        };
1823
1824        store.add_measurement(measurement);
1825
1826        assert!(store.time_series.contains_key(&MetricType::GateErrorRate));
1827        assert!(store
1828            .aggregated_stats
1829            .contains_key(&MetricType::GateErrorRate));
1830
1831        let stats = store
1832            .aggregated_stats
1833            .get(&MetricType::GateErrorRate)
1834            .unwrap();
1835        assert_eq!(stats.sample_count, 1);
1836        assert_eq!(stats.mean, 0.001);
1837    }
1838
1839    #[test]
1840    fn test_alert_creation() {
1841        let alert = Alert {
1842            id: "test_alert".to_string(),
1843            level: AlertLevel::Warning,
1844            message: "Test alert message".to_string(),
1845            affected_metrics: vec![MetricType::GateErrorRate],
1846            timestamp: SystemTime::now(),
1847            source: "test".to_string(),
1848            suggested_actions: vec!["Check calibration".to_string()],
1849            status: AlertStatus::Active,
1850        };
1851
1852        assert_eq!(alert.level, AlertLevel::Warning);
1853        assert_eq!(alert.status, AlertStatus::Active);
1854        assert!(alert.affected_metrics.contains(&MetricType::GateErrorRate));
1855    }
1856
1857    #[test]
1858    fn test_monitoring_config() {
1859        let config = MonitoringConfig::default();
1860        assert_eq!(config.monitoring_interval, Duration::from_secs(1));
1861        assert_eq!(config.data_retention_period, Duration::from_secs(24 * 3600));
1862        assert!(!config.export_settings.enable_export);
1863    }
1864
1865    #[test]
1866    fn test_metric_value_types() {
1867        let float_value = MetricValue::Float(1.23);
1868        let int_value = MetricValue::Integer(42);
1869        let bool_value = MetricValue::Boolean(true);
1870        let duration_value = MetricValue::Duration(Duration::from_millis(100));
1871
1872        assert!(matches!(float_value, MetricValue::Float(1.23)));
1873        assert!(matches!(int_value, MetricValue::Integer(42)));
1874        assert!(matches!(bool_value, MetricValue::Boolean(true)));
1875        assert!(matches!(duration_value, MetricValue::Duration(_)));
1876    }
1877
1878    #[test]
1879    fn test_alert_thresholds() {
1880        let thresholds = AlertThresholds::default();
1881        assert_eq!(thresholds.max_gate_error_rate, 0.01);
1882        assert_eq!(thresholds.max_readout_error_rate, 0.05);
1883        assert_eq!(thresholds.min_coherence_time, Duration::from_micros(50));
1884    }
1885
1886    #[test]
1887    fn test_optimization_recommendation() {
1888        let recommendation = OptimizationRecommendation {
1889            id: "test_rec".to_string(),
1890            recommendation_type: RecommendationType::GateOptimization,
1891            description: "Optimize gate sequence".to_string(),
1892            affected_components: vec!["qubit_0".to_string()],
1893            expected_improvement: ExpectedImprovement {
1894                fidelity_improvement: Some(0.001),
1895                speed_improvement: Some(0.1),
1896                error_rate_reduction: Some(0.0005),
1897                resource_savings: None,
1898            },
1899            implementation_difficulty: DifficultyLevel::Medium,
1900            priority: RecommendationPriority::High,
1901            timestamp: SystemTime::now(),
1902        };
1903
1904        assert_eq!(
1905            recommendation.recommendation_type,
1906            RecommendationType::GateOptimization
1907        );
1908        assert_eq!(
1909            recommendation.implementation_difficulty,
1910            DifficultyLevel::Medium
1911        );
1912        assert_eq!(recommendation.priority, RecommendationPriority::High);
1913    }
1914
1915    #[test]
1916    fn test_export_settings() {
1917        let settings = ExportSettings {
1918            enable_export: true,
1919            export_formats: vec![ExportFormat::JSON, ExportFormat::CSV],
1920            export_destinations: vec![],
1921            export_frequency: Duration::from_secs(1800),
1922            compression_enabled: true,
1923        };
1924
1925        assert!(settings.enable_export);
1926        assert_eq!(settings.export_formats.len(), 2);
1927        assert!(settings.compression_enabled);
1928    }
1929
1930    #[test]
1931    fn test_monitoring_status() {
1932        let status = MonitoringStatus::new();
1933        assert_eq!(status.overall_status, SystemStatus::Offline);
1934        assert_eq!(status.active_collectors, 0);
1935        assert_eq!(status.total_data_points, 0);
1936    }
1937}
quantrs2_core/realtime_monitoring.rs

quantrs2_core/
realtime_monitoring.rs
