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quantrs2_anneal/realtime_hardware_monitoring/
alerts.rs

1//! Alert system, failure detector, and performance optimizer implementations
2
3use super::types::*;
4use std::collections::{HashMap, VecDeque};
5use std::sync::Arc;
6use std::time::Duration;
7
8/// Alert management system
9pub struct AlertSystem {
10    /// Alert configuration
11    pub config: AlertConfig,
12    /// Active alerts
13    pub active_alerts: HashMap<String, Alert>,
14    /// Alert history
15    pub alert_history: VecDeque<Alert>,
16    /// Notification handlers
17    pub handlers: Vec<Box<dyn AlertHandler>>,
18    /// Alert statistics
19    pub statistics: AlertStatistics,
20}
21
22impl AlertSystem {
23    pub(crate) fn new() -> Self {
24        Self {
25            config: AlertConfig::default(),
26            active_alerts: HashMap::new(),
27            alert_history: VecDeque::new(),
28            handlers: vec![],
29            statistics: AlertStatistics::default(),
30        }
31    }
32}
33
34impl Default for AlertConfig {
35    fn default() -> Self {
36        Self {
37            max_active_alerts: 100,
38            aggregation_window: Duration::from_secs(60),
39            suppression_rules: vec![],
40            escalation_rules: vec![],
41        }
42    }
43}
44
45impl Default for AlertStatistics {
46    fn default() -> Self {
47        Self {
48            total_alerts: 0,
49            alerts_by_level: HashMap::new(),
50            alerts_by_device: HashMap::new(),
51            avg_resolution_time: Duration::from_secs(0),
52            false_positive_rate: 0.0,
53        }
54    }
55}
56
57/// Predictive failure detection system
58pub struct PredictiveFailureDetector {
59    /// Detection configuration
60    pub config: FailureDetectionConfig,
61    /// Prediction models
62    pub models: HashMap<String, PredictionModel>,
63    /// Historical failure data
64    pub failure_history: VecDeque<FailureEvent>,
65    /// Current predictions
66    pub current_predictions: HashMap<String, FailurePrediction>,
67    /// Model performance tracking
68    pub model_performance: HashMap<String, ModelPerformance>,
69}
70
71impl PredictiveFailureDetector {
72    pub(crate) fn new() -> Self {
73        Self {
74            config: FailureDetectionConfig::default(),
75            models: HashMap::new(),
76            failure_history: VecDeque::new(),
77            current_predictions: HashMap::new(),
78            model_performance: HashMap::new(),
79        }
80    }
81}
82
83impl Default for FailureDetectionConfig {
84    fn default() -> Self {
85        Self {
86            prediction_horizon: Duration::from_secs(3600),
87            confidence_threshold: 0.8,
88            model_update_frequency: Duration::from_secs(1800),
89            feature_window: Duration::from_secs(600),
90        }
91    }
92}
93
94/// Real-time performance optimizer
95pub struct RealTimePerformanceOptimizer {
96    /// Optimizer configuration
97    pub config: OptimizerConfig,
98    /// Optimization strategies
99    pub strategies: Vec<OptimizationStrategy>,
100    /// Performance baselines
101    pub baselines: HashMap<String, PerformanceBaseline>,
102    /// Active optimizations
103    pub active_optimizations: HashMap<String, ActiveOptimization>,
104    /// Optimization history
105    pub optimization_history: VecDeque<OptimizationResult>,
106}
107
108impl RealTimePerformanceOptimizer {
109    pub(crate) fn new() -> Self {
110        Self {
111            config: OptimizerConfig::default(),
112            strategies: vec![],
113            baselines: HashMap::new(),
114            active_optimizations: HashMap::new(),
115            optimization_history: VecDeque::new(),
116        }
117    }
118}
119
120impl Default for OptimizerConfig {
121    fn default() -> Self {
122        Self {
123            optimization_frequency: Duration::from_secs(300),
124            improvement_threshold: 0.05,
125            max_concurrent_optimizations: 3,
126            optimization_timeout: Duration::from_secs(600),
127        }
128    }
129}