quantrs2_device/quantum_network/enhanced_monitoring/
storage.rs

1//! Storage and historical data management types for enhanced monitoring
2
3use super::components::*;
4use super::types::*;
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::quantum_network::network_optimization::Priority;
13
14/// Historical data manager for quantum networks
15#[derive(Debug)]
16pub struct QuantumHistoricalDataManager {
17    /// Time-series database interface
18    pub time_series_db: Arc<TimeSeriesDatabase>,
19    /// Data retention manager
20    pub retention_manager: Arc<DataRetentionManager>,
21    /// Data compression system
22    pub compression_system: Arc<DataCompressionSystem>,
23    /// Historical analytics engine
24    pub historical_analytics: Arc<HistoricalAnalyticsEngine>,
25    /// Data export system
26    pub export_system: Arc<DataExportSystem>,
27}
28
29/// Analytics engine configuration
30#[derive(Debug, Clone, Serialize, Deserialize)]
31pub struct AnalyticsEngineConfig {
32    /// Enable real-time analytics
33    pub real_time_analytics: bool,
34    /// Pattern recognition settings
35    pub pattern_recognition: PatternRecognitionConfig,
36    /// Correlation analysis settings
37    pub correlation_analysis: CorrelationAnalysisConfig,
38    /// Trend analysis settings
39    pub trend_analysis: TrendAnalysisConfig,
40    /// Performance modeling settings
41    pub performance_modeling: PerformanceModelingConfig,
42}
43
44/// Pattern recognition configuration
45#[derive(Debug, Clone, Serialize, Deserialize)]
46pub struct PatternRecognitionConfig {
47    /// Enable pattern recognition
48    pub enabled: bool,
49    /// Pattern types to detect
50    pub pattern_types: Vec<PatternType>,
51    /// Pattern detection sensitivity
52    pub sensitivity: f64,
53    /// Minimum pattern duration
54    pub min_pattern_duration: Duration,
55}
56
57/// Types of patterns to recognize
58#[derive(Debug, Clone, Serialize, Deserialize)]
59pub enum PatternType {
60    /// Periodic patterns
61    Periodic,
62    /// Trending patterns
63    Trending,
64    /// Anomalous patterns
65    Anomalous,
66    /// Correlation patterns
67    Correlation,
68    /// Quantum-specific patterns
69    QuantumSpecific,
70}
71
72/// Correlation analysis configuration
73#[derive(Debug, Clone, Serialize, Deserialize)]
74pub struct CorrelationAnalysisConfig {
75    /// Enable correlation analysis
76    pub enabled: bool,
77    /// Correlation methods
78    pub correlation_methods: Vec<CorrelationMethod>,
79    /// Minimum correlation threshold
80    pub min_correlation_threshold: f64,
81    /// Analysis window size
82    pub analysis_window: Duration,
83}
84
85/// Correlation analysis methods
86#[derive(Debug, Clone, Serialize, Deserialize)]
87pub enum CorrelationMethod {
88    /// Pearson correlation
89    Pearson,
90    /// Spearman correlation
91    Spearman,
92    /// Kendall tau correlation
93    KendallTau,
94    /// Cross-correlation
95    CrossCorrelation,
96    /// Mutual information
97    MutualInformation,
98}
99
100/// Trend analysis configuration
101#[derive(Debug, Clone, Serialize, Deserialize)]
102pub struct TrendAnalysisConfig {
103    /// Enable trend analysis
104    pub enabled: bool,
105    /// Trend detection methods
106    pub trend_methods: Vec<TrendMethod>,
107    /// Trend detection sensitivity
108    pub sensitivity: f64,
109    /// Minimum trend duration
110    pub min_trend_duration: Duration,
111}
112
113/// Trend detection methods
114#[derive(Debug, Clone, Serialize, Deserialize)]
115pub enum TrendMethod {
116    /// Linear regression trend
117    LinearRegression,
118    /// Mann-Kendall test
119    MannKendall,
120    /// Sen's slope estimator
121    SensSlope,
122    /// Seasonal decomposition
123    SeasonalDecomposition,
124    /// Change point detection
125    ChangePointDetection,
126}
127
128/// Performance modeling configuration
129#[derive(Debug, Clone, Serialize, Deserialize)]
130pub struct PerformanceModelingConfig {
131    /// Enable performance modeling
132    pub enabled: bool,
133    /// Modeling algorithms
134    pub modeling_algorithms: Vec<ModelingAlgorithm>,
135    /// Model update frequency
136    pub update_frequency: Duration,
137    /// Model validation methods
138    pub validation_methods: Vec<ValidationMethod>,
139}
140
141/// Performance modeling algorithms
142#[derive(Debug, Clone, Serialize, Deserialize)]
143pub enum ModelingAlgorithm {
144    /// Linear regression
145    LinearRegression,
146    /// Polynomial regression
147    PolynomialRegression { degree: u32 },
148    /// Support vector regression
149    SupportVectorRegression,
150    /// Random forest regression
151    RandomForestRegression,
152    /// Gradient boosting regression
153    GradientBoostingRegression,
154    /// Neural network regression
155    NeuralNetworkRegression,
156}
157
158/// Model validation methods
159#[derive(Debug, Clone, Serialize, Deserialize)]
160pub enum ValidationMethod {
161    /// Cross-validation
162    CrossValidation { folds: u32 },
163    /// Time series split validation
164    TimeSeriesSplit { n_splits: u32 },
165    /// Hold-out validation
166    HoldOut { test_size: f64 },
167    /// Bootstrap validation
168    Bootstrap { n_bootstraps: u32 },
169}
170
171/// Anomaly detection configuration
172#[derive(Debug, Clone, Serialize, Deserialize)]
173pub struct AnomalyDetectionConfig {
174    /// Enable anomaly detection
175    pub enabled: bool,
176    /// Detection methods
177    pub detection_methods: Vec<AnomalyModelType>,
178    /// Detection sensitivity
179    pub sensitivity: f64,
180    /// Training data requirements
181    pub training_requirements: TrainingRequirements,
182}
183
184/// Training requirements for anomaly detection
185#[derive(Debug, Clone, Serialize, Deserialize)]
186pub struct TrainingRequirements {
187    /// Minimum training data points
188    pub min_training_points: u32,
189    /// Training data window
190    pub training_window: Duration,
191    /// Retraining frequency
192    pub retraining_frequency: Duration,
193    /// Data quality requirements
194    pub quality_requirements: DataQualityRequirements,
195}
196
197/// Data quality requirements
198#[derive(Debug, Clone, Serialize, Deserialize)]
199pub struct DataQualityRequirements {
200    /// Minimum data completeness
201    pub min_completeness: f64,
202    /// Maximum missing data percentage
203    pub max_missing_percentage: f64,
204    /// Minimum data accuracy
205    pub min_accuracy: f64,
206    /// Maximum outlier percentage
207    pub max_outlier_percentage: f64,
208}
209
210/// Predictive analytics configuration
211#[derive(Debug, Clone, Serialize, Deserialize)]
212pub struct PredictiveAnalyticsConfig {
213    /// Enable predictive analytics
214    pub enabled: bool,
215    /// Prediction horizons
216    pub prediction_horizons: Vec<Duration>,
217    /// Prediction models
218    pub prediction_models: Vec<PredictionModelType>,
219    /// Model selection criteria
220    pub model_selection: ModelSelectionCriteria,
221}
222
223/// Model selection criteria
224#[derive(Debug, Clone, Serialize, Deserialize)]
225pub struct ModelSelectionCriteria {
226    /// Primary metric for model selection
227    pub primary_metric: ModelSelectionMetric,
228    /// Secondary metrics
229    pub secondary_metrics: Vec<ModelSelectionMetric>,
230    /// Cross-validation strategy
231    pub cross_validation: CrossValidationStrategy,
232}
233
234/// Metrics for model selection
235#[derive(Debug, Clone, Serialize, Deserialize)]
236pub enum ModelSelectionMetric {
237    /// Mean absolute error
238    MAE,
239    /// Mean squared error
240    MSE,
241    /// Root mean squared error
242    RMSE,
243    /// Mean absolute percentage error
244    MAPE,
245    /// R-squared
246    RSquared,
247    /// Akaike information criterion
248    AIC,
249    /// Bayesian information criterion
250    BIC,
251}
252
253/// Cross-validation strategies
254#[derive(Debug, Clone, Serialize, Deserialize)]
255pub enum CrossValidationStrategy {
256    /// K-fold cross-validation
257    KFold { k: u32 },
258    /// Time series cross-validation
259    TimeSeries { n_splits: u32, gap: Duration },
260    /// Stratified cross-validation
261    Stratified { n_splits: u32 },
262    /// Leave-one-out cross-validation
263    LeaveOneOut,
264}
265
266/// Alert system configuration
267#[derive(Debug, Clone, Serialize, Deserialize)]
268pub struct AlertSystemConfig {
269    /// Enable alert system
270    pub enabled: bool,
271    /// Default alert rules
272    pub default_rules: Vec<AlertRule>,
273    /// Notification configuration
274    pub notification_config: NotificationConfig,
275    /// Escalation configuration
276    pub escalation_config: EscalationConfig,
277}
278
279/// Notification configuration
280#[derive(Debug, Clone, Serialize, Deserialize)]
281pub struct NotificationConfig {
282    /// Default notification channels
283    pub default_channels: Vec<NotificationChannel>,
284    /// Rate limiting settings
285    pub rate_limiting: RateLimitingConfig,
286    /// Message formatting settings
287    pub message_formatting: MessageFormattingConfig,
288}
289
290/// Rate limiting configuration
291#[derive(Debug, Clone, Serialize, Deserialize)]
292pub struct RateLimitingConfig {
293    /// Enable rate limiting
294    pub enabled: bool,
295    /// Rate limits per severity
296    pub severity_limits: HashMap<AlertSeverity, FrequencyLimits>,
297    /// Global rate limits
298    pub global_limits: FrequencyLimits,
299}
300
301/// Message formatting configuration
302#[derive(Debug, Clone, Serialize, Deserialize)]
303pub struct MessageFormattingConfig {
304    /// Include technical details
305    pub include_technical_details: bool,
306    /// Include recommendations
307    pub include_recommendations: bool,
308    /// Use markdown formatting
309    pub use_markdown: bool,
310    /// Custom message templates
311    pub templates: HashMap<String, String>,
312}
313
314/// Escalation configuration
315#[derive(Debug, Clone, Serialize, Deserialize)]
316pub struct EscalationConfig {
317    /// Enable automatic escalation
318    pub auto_escalation_enabled: bool,
319    /// Default escalation levels
320    pub default_escalation_levels: Vec<EscalationLevel>,
321    /// Escalation policies
322    pub escalation_policies: Vec<EscalationPolicy>,
323}
324
325/// Escalation policy
326#[derive(Debug, Clone, Serialize, Deserialize)]
327pub struct EscalationPolicy {
328    /// Policy name
329    pub policy_name: String,
330    /// Policy conditions
331    pub conditions: Vec<EscalationCondition>,
332    /// Escalation actions
333    pub actions: Vec<EscalationAction>,
334}
335
336/// Escalation actions
337#[derive(Debug, Clone, Serialize, Deserialize)]
338pub enum EscalationAction {
339    /// Notify additional recipients
340    NotifyAdditional { recipients: Vec<String> },
341    /// Increase alert severity
342    IncreaseSeverity { new_severity: AlertSeverity },
343    /// Create incident ticket
344    CreateIncident { ticket_system: String },
345    /// Execute custom action
346    CustomAction {
347        action_name: String,
348        parameters: HashMap<String, String>,
349    },
350}
351
352/// Storage configuration
353#[derive(Debug, Clone, Serialize, Deserialize)]
354pub struct StorageConfig {
355    /// Storage backend type
356    pub backend_type: StorageBackendType,
357    /// Data retention policies
358    pub retention_policies: HashMap<MetricType, RetentionPolicy>,
359    /// Compression settings
360    pub compression: CompressionConfig,
361    /// Backup settings
362    pub backup: BackupConfig,
363}
364
365/// Storage backend types
366#[derive(Debug, Clone, Serialize, Deserialize)]
367pub enum StorageBackendType {
368    /// In-memory storage (for testing)
369    InMemory,
370    /// Local file system
371    LocalFileSystem { base_path: String },
372    /// Time series database
373    TimeSeriesDB { connection_string: String },
374    /// Object storage (S3, etc.)
375    ObjectStorage { endpoint: String, bucket: String },
376    /// Distributed storage
377    Distributed { nodes: Vec<String> },
378}
379
380/// Data retention policy
381#[derive(Debug, Clone, Serialize, Deserialize)]
382pub struct RetentionPolicy {
383    /// Raw data retention period
384    pub raw_data_retention: Duration,
385    /// Aggregated data retention period
386    pub aggregated_data_retention: Duration,
387    /// Archive after period
388    pub archive_after: Duration,
389    /// Delete after period
390    pub delete_after: Duration,
391}
392
393/// Compression configuration
394#[derive(Debug, Clone, Serialize, Deserialize)]
395pub struct CompressionConfig {
396    /// Enable compression
397    pub enabled: bool,
398    /// Compression algorithm
399    pub algorithm: CompressionAlgorithm,
400    /// Compression level
401    pub compression_level: u8,
402    /// Compress after age
403    pub compress_after: Duration,
404}
405
406/// Compression algorithms
407#[derive(Debug, Clone, Serialize, Deserialize)]
408pub enum CompressionAlgorithm {
409    Gzip,
410    Zstd,
411    Lz4,
412    Brotli,
413    Snappy,
414}
415
416/// Backup configuration
417#[derive(Debug, Clone, Serialize, Deserialize)]
418pub struct BackupConfig {
419    /// Enable backups
420    pub enabled: bool,
421    /// Backup frequency
422    pub backup_frequency: Duration,
423    /// Backup retention period
424    pub backup_retention: Duration,
425    /// Backup destination
426    pub backup_destination: BackupDestination,
427}
428
429/// Backup destinations
430#[derive(Debug, Clone, Serialize, Deserialize)]
431pub enum BackupDestination {
432    /// Local file system
433    LocalFileSystem { path: String },
434    /// Remote object storage
435    ObjectStorage { endpoint: String, bucket: String },
436    /// Remote database
437    RemoteDatabase { connection_string: String },
438}
439
440/// Quantum optimization recommender
441#[derive(Debug)]
442pub struct QuantumOptimizationRecommender {
443    pub recommendation_engine: String,
444    pub confidence_threshold: f64,
445}
446
447/// Quantum network dashboard
448#[derive(Debug)]
449pub struct QuantumNetworkDashboard {
450    pub dashboard_id: Uuid,
451    pub active_widgets: Vec<String>,
452    pub refresh_rate: Duration,
453}
454
455#[derive(Debug)]
456pub struct TimeSeriesDatabase {
457    pub database_type: String,
458    pub connection_string: String,
459    pub retention_policy: Duration,
460}
461
462impl Default for TimeSeriesDatabase {
463    fn default() -> Self {
464        Self::new()
465    }
466}
467
468impl TimeSeriesDatabase {
469    pub fn new() -> Self {
470        Self {
471            database_type: "influxdb".to_string(),
472            connection_string: "localhost:8086".to_string(),
473            retention_policy: Duration::from_secs(86400 * 30), // 30 days
474        }
475    }
476}
477
478/// Data retention manager
479#[derive(Debug, Clone)]
480pub struct DataRetentionManager {
481    pub retention_policies: HashMap<String, Duration>,
482    pub compression_enabled: bool,
483}
484
485impl Default for DataRetentionManager {
486    fn default() -> Self {
487        Self::new()
488    }
489}
490
491impl DataRetentionManager {
492    pub fn new() -> Self {
493        Self {
494            retention_policies: HashMap::new(),
495            compression_enabled: true,
496        }
497    }
498}
499
500/// Data compression system
501#[derive(Debug, Clone)]
502pub struct DataCompressionSystem {
503    pub compression_algorithm: String,
504    pub compression_ratio: f64,
505}
506
507impl Default for DataCompressionSystem {
508    fn default() -> Self {
509        Self::new()
510    }
511}
512
513impl DataCompressionSystem {
514    pub fn new() -> Self {
515        Self {
516            compression_algorithm: "gzip".to_string(),
517            compression_ratio: 0.7,
518        }
519    }
520}
521
522/// Historical analytics engine
523#[derive(Debug, Clone)]
524pub struct HistoricalAnalyticsEngine {
525    pub analysis_window: Duration,
526    pub aggregation_levels: Vec<String>,
527}
528
529impl Default for HistoricalAnalyticsEngine {
530    fn default() -> Self {
531        Self::new()
532    }
533}
534
535impl HistoricalAnalyticsEngine {
536    pub fn new() -> Self {
537        Self {
538            analysis_window: Duration::from_secs(86400), // 24 hours
539            aggregation_levels: vec!["minute".to_string(), "hour".to_string(), "day".to_string()],
540        }
541    }
542}
543
544/// Data export system
545#[derive(Debug, Clone)]
546pub struct DataExportSystem {
547    pub supported_formats: Vec<String>,
548    pub export_batch_size: usize,
549}
550
551impl Default for DataExportSystem {
552    fn default() -> Self {
553        Self::new()
554    }
555}
556
557impl DataExportSystem {
558    pub fn new() -> Self {
559        Self {
560            supported_formats: vec!["csv".to_string(), "json".to_string(), "parquet".to_string()],
561            export_batch_size: 10000,
562        }
563    }
564}
quantrs2_device/quantum_network/enhanced_monitoring/storage.rs

quantrs2_device/quantum_network/enhanced_monitoring/
storage.rs
