quantrs2_anneal/realtime_hardware_monitoring/
monitor_impl.rs

1//! RealTimeHardwareMonitor implementation
2
3use super::alerts::{AlertSystem, PredictiveFailureDetector, RealTimePerformanceOptimizer};
4use super::collectors::{AdaptiveCompiler, MetricsCollector};
5use super::types::*;
6use crate::applications::{ApplicationError, ApplicationResult};
7use crate::ising::IsingModel;
8use std::collections::HashMap;
9use std::sync::{
10    atomic::{AtomicBool, Ordering},
11    Arc, Mutex, RwLock,
12};
13use std::thread;
14
15/// Real-time hardware monitoring system
16pub struct RealTimeHardwareMonitor {
17    /// Monitoring configuration
18    pub config: MonitoringConfig,
19    /// Connected hardware devices
20    pub devices: Arc<RwLock<HashMap<String, MonitoredDevice>>>,
21    /// Real-time metrics collector
22    pub metrics_collector: Arc<Mutex<MetricsCollector>>,
23    /// Adaptive compiler
24    pub adaptive_compiler: Arc<Mutex<AdaptiveCompiler>>,
25    /// Alert system
26    pub alert_system: Arc<Mutex<AlertSystem>>,
27    /// Predictive failure detector
28    pub failure_detector: Arc<Mutex<PredictiveFailureDetector>>,
29    /// Performance optimizer
30    pub performance_optimizer: Arc<Mutex<RealTimePerformanceOptimizer>>,
31    /// Monitoring thread control
32    pub monitoring_active: Arc<AtomicBool>,
33}
34
35impl RealTimeHardwareMonitor {
36    /// Create new real-time hardware monitor
37    #[must_use]
38    pub fn new(config: MonitoringConfig) -> Self {
39        Self {
40            config,
41            devices: Arc::new(RwLock::new(HashMap::new())),
42            metrics_collector: Arc::new(Mutex::new(MetricsCollector::new())),
43            adaptive_compiler: Arc::new(Mutex::new(AdaptiveCompiler::new())),
44            alert_system: Arc::new(Mutex::new(AlertSystem::new())),
45            failure_detector: Arc::new(Mutex::new(PredictiveFailureDetector::new())),
46            performance_optimizer: Arc::new(Mutex::new(RealTimePerformanceOptimizer::new())),
47            monitoring_active: Arc::new(AtomicBool::new(false)),
48        }
49    }
50
51    /// Start real-time monitoring
52    pub fn start_monitoring(&self) -> ApplicationResult<()> {
53        if self.monitoring_active.load(Ordering::Relaxed) {
54            return Err(ApplicationError::InvalidConfiguration(
55                "Monitoring is already active".to_string(),
56            ));
57        }
58
59        self.monitoring_active.store(true, Ordering::Relaxed);
60
61        // Start monitoring thread
62        let monitor_clone = self.clone_for_thread();
63        thread::spawn(move || {
64            monitor_clone.monitoring_loop();
65        });
66
67        println!("Real-time hardware monitoring started");
68        Ok(())
69    }
70
71    /// Stop real-time monitoring
72    pub fn stop_monitoring(&self) -> ApplicationResult<()> {
73        self.monitoring_active.store(false, Ordering::Relaxed);
74        println!("Real-time hardware monitoring stopped");
75        Ok(())
76    }
77
78    /// Register device for monitoring
79    pub fn register_device(&self, device: MonitoredDevice) -> ApplicationResult<()> {
80        let device_id = device.device_id.clone();
81        let mut devices = self.devices.write().map_err(|_| {
82            ApplicationError::OptimizationError("Failed to acquire devices lock".to_string())
83        })?;
84
85        devices.insert(device_id.clone(), device);
86        println!("Registered device for monitoring: {device_id}");
87        Ok(())
88    }
89
90    /// Get current device status
91    pub fn get_device_status(&self, device_id: &str) -> ApplicationResult<DeviceStatus> {
92        let devices = self.devices.read().map_err(|_| {
93            ApplicationError::OptimizationError("Failed to read devices".to_string())
94        })?;
95
96        devices
97            .get(device_id)
98            .map(|device| device.status.clone())
99            .ok_or_else(|| {
100                ApplicationError::InvalidConfiguration(format!("Device {device_id} not found"))
101            })
102    }
103
104    /// Get real-time performance metrics
105    pub fn get_performance_metrics(
106        &self,
107        device_id: &str,
108    ) -> ApplicationResult<DevicePerformanceMetrics> {
109        let devices = self.devices.read().map_err(|_| {
110            ApplicationError::OptimizationError("Failed to read devices".to_string())
111        })?;
112
113        let device = devices.get(device_id).ok_or_else(|| {
114            ApplicationError::InvalidConfiguration(format!("Device {device_id} not found"))
115        })?;
116
117        let metrics = device.performance_metrics.read().map_err(|_| {
118            ApplicationError::OptimizationError("Failed to read performance metrics".to_string())
119        })?;
120
121        Ok(metrics.clone())
122    }
123
124    /// Trigger adaptive compilation
125    pub fn trigger_adaptive_compilation(
126        &self,
127        device_id: &str,
128        problem: &IsingModel,
129    ) -> ApplicationResult<CompilationParameters> {
130        let mut compiler = self.adaptive_compiler.lock().map_err(|_| {
131            ApplicationError::OptimizationError("Failed to acquire compiler lock".to_string())
132        })?;
133
134        // Get current device metrics
135        let metrics = self.get_performance_metrics(device_id)?;
136
137        // Determine if adaptation is needed
138        let adaptation_needed = self.assess_adaptation_need(&metrics)?;
139
140        if adaptation_needed {
141            println!("Triggering adaptive compilation for device: {device_id}");
142
143            // Generate adaptive compilation parameters
144            let parameters = self.generate_adaptive_parameters(&metrics, problem)?;
145
146            // Cache the compilation
147            compiler.cache_compilation(problem, &parameters)?;
148
149            Ok(parameters)
150        } else {
151            // Return default parameters
152            Ok(CompilationParameters::default())
153        }
154    }
155
156    /// Get active alerts
157    pub fn get_active_alerts(&self) -> ApplicationResult<Vec<Alert>> {
158        let alert_system = self.alert_system.lock().map_err(|_| {
159            ApplicationError::OptimizationError("Failed to acquire alert system lock".to_string())
160        })?;
161
162        Ok(alert_system.active_alerts.values().cloned().collect())
163    }
164
165    /// Get failure predictions
166    pub fn get_failure_predictions(&self) -> ApplicationResult<Vec<FailurePrediction>> {
167        let detector = self.failure_detector.lock().map_err(|_| {
168            ApplicationError::OptimizationError(
169                "Failed to acquire failure detector lock".to_string(),
170            )
171        })?;
172
173        Ok(detector.current_predictions.values().cloned().collect())
174    }
175
176    // Private helper methods
177
178    /// Clone necessary components for monitoring thread
179    fn clone_for_thread(&self) -> MonitoringThreadData {
180        MonitoringThreadData {
181            config: self.config.clone(),
182            devices: Arc::clone(&self.devices),
183            metrics_collector: Arc::clone(&self.metrics_collector),
184            alert_system: Arc::clone(&self.alert_system),
185            monitoring_active: Arc::clone(&self.monitoring_active),
186        }
187    }
188
189    /// Main monitoring loop
190    fn monitoring_loop(&self) {
191        while self.monitoring_active.load(Ordering::Relaxed) {
192            // Collect metrics from all devices
193            self.collect_device_metrics();
194
195            // Update noise characterization
196            self.update_noise_characterization();
197
198            // Check for alerts
199            self.check_alert_conditions();
200
201            // Update failure predictions
202            self.update_failure_predictions();
203
204            // Trigger optimizations if needed
205            self.check_optimization_triggers();
206
207            // Sleep until next collection interval
208            thread::sleep(self.config.monitoring_interval);
209        }
210    }
211
212    /// Collect metrics from all devices
213    fn collect_device_metrics(&self) {
214        // Implementation would collect real metrics from devices
215        println!("Collecting device metrics...");
216    }
217
218    /// Update noise characterization
219    fn update_noise_characterization(&self) {
220        if self.config.enable_noise_characterization {
221            // Implementation would perform real-time noise analysis
222            println!("Updating noise characterization...");
223        }
224    }
225
226    /// Check alert conditions
227    fn check_alert_conditions(&self) {
228        // Implementation would check thresholds and generate alerts
229        println!("Checking alert conditions...");
230    }
231
232    /// Update failure predictions
233    fn update_failure_predictions(&self) {
234        if self.config.enable_failure_prediction {
235            // Implementation would run prediction models
236            println!("Updating failure predictions...");
237        }
238    }
239
240    /// Check optimization triggers
241    fn check_optimization_triggers(&self) {
242        // Implementation would check if optimizations should be triggered
243        println!("Checking optimization triggers...");
244    }
245
246    /// Assess if adaptation is needed
247    fn assess_adaptation_need(
248        &self,
249        metrics: &DevicePerformanceMetrics,
250    ) -> ApplicationResult<bool> {
251        // Simple heuristic: adapt if error rate is above threshold
252        Ok(metrics.error_rate > self.config.alert_thresholds.max_error_rate)
253    }
254
255    /// Generate adaptive compilation parameters
256    fn generate_adaptive_parameters(
257        &self,
258        metrics: &DevicePerformanceMetrics,
259        _problem: &IsingModel,
260    ) -> ApplicationResult<CompilationParameters> {
261        // Adaptive parameter generation based on current metrics
262        let chain_strength = if metrics.error_rate > 0.1 {
263            2.0 // Increase chain strength for high error rate
264        } else {
265            1.0
266        };
267
268        let temperature_compensation = if metrics.temperature > 0.02 {
269            0.1 // Apply temperature compensation
270        } else {
271            0.0
272        };
273
274        Ok(CompilationParameters {
275            chain_strength,
276            annealing_schedule: vec![(0.0, 1.0), (1.0, 0.0)], // Linear schedule
277            temperature_compensation,
278            noise_mitigation: NoiseMitigationSettings::default(),
279        })
280    }
281}
282
283/// Thread data for monitoring
284#[derive(Clone)]
285pub(crate) struct MonitoringThreadData {
286    pub config: MonitoringConfig,
287    pub devices: Arc<RwLock<HashMap<String, MonitoredDevice>>>,
288    pub metrics_collector: Arc<Mutex<MetricsCollector>>,
289    pub alert_system: Arc<Mutex<AlertSystem>>,
290    pub monitoring_active: Arc<AtomicBool>,
291}
292
293impl MonitoringThreadData {
294    pub(crate) fn monitoring_loop(&self) {
295        while self.monitoring_active.load(Ordering::Relaxed) {
296            println!("Monitoring loop iteration");
297            thread::sleep(self.config.monitoring_interval);
298        }
299    }
300}
quantrs2_anneal/realtime_hardware_monitoring/monitor_impl.rs

quantrs2_anneal/realtime_hardware_monitoring/
monitor_impl.rs
