quantrs2-anneal 0.1.3

//! RealTimeHardwareMonitor implementation

use super::alerts::{AlertSystem, PredictiveFailureDetector, RealTimePerformanceOptimizer};
use super::collectors::{AdaptiveCompiler, MetricsCollector};
use super::types::*;
use crate::applications::{ApplicationError, ApplicationResult};
use crate::ising::IsingModel;
use std::collections::HashMap;
use std::sync::{
    atomic::{AtomicBool, Ordering},
    Arc, Mutex, RwLock,
};
use std::thread;

/// Real-time hardware monitoring system
pub struct RealTimeHardwareMonitor {
    /// Monitoring configuration
    pub config: MonitoringConfig,
    /// Connected hardware devices
    pub devices: Arc<RwLock<HashMap<String, MonitoredDevice>>>,
    /// Real-time metrics collector
    pub metrics_collector: Arc<Mutex<MetricsCollector>>,
    /// Adaptive compiler
    pub adaptive_compiler: Arc<Mutex<AdaptiveCompiler>>,
    /// Alert system
    pub alert_system: Arc<Mutex<AlertSystem>>,
    /// Predictive failure detector
    pub failure_detector: Arc<Mutex<PredictiveFailureDetector>>,
    /// Performance optimizer
    pub performance_optimizer: Arc<Mutex<RealTimePerformanceOptimizer>>,
    /// Monitoring thread control
    pub monitoring_active: Arc<AtomicBool>,
}

impl RealTimeHardwareMonitor {
    /// Create new real-time hardware monitor
    #[must_use]
    pub fn new(config: MonitoringConfig) -> Self {
        Self {
            config,
            devices: Arc::new(RwLock::new(HashMap::new())),
            metrics_collector: Arc::new(Mutex::new(MetricsCollector::new())),
            adaptive_compiler: Arc::new(Mutex::new(AdaptiveCompiler::new())),
            alert_system: Arc::new(Mutex::new(AlertSystem::new())),
            failure_detector: Arc::new(Mutex::new(PredictiveFailureDetector::new())),
            performance_optimizer: Arc::new(Mutex::new(RealTimePerformanceOptimizer::new())),
            monitoring_active: Arc::new(AtomicBool::new(false)),
        }
    }

    /// Start real-time monitoring
    pub fn start_monitoring(&self) -> ApplicationResult<()> {
        if self.monitoring_active.load(Ordering::Relaxed) {
            return Err(ApplicationError::InvalidConfiguration(
                "Monitoring is already active".to_string(),
            ));
        }

        self.monitoring_active.store(true, Ordering::Relaxed);

        // Start monitoring thread
        let monitor_clone = self.clone_for_thread();
        thread::spawn(move || {
            monitor_clone.monitoring_loop();
        });

        println!("Real-time hardware monitoring started");
        Ok(())
    }

    /// Stop real-time monitoring
    pub fn stop_monitoring(&self) -> ApplicationResult<()> {
        self.monitoring_active.store(false, Ordering::Relaxed);
        println!("Real-time hardware monitoring stopped");
        Ok(())
    }

    /// Register device for monitoring
    pub fn register_device(&self, device: MonitoredDevice) -> ApplicationResult<()> {
        let device_id = device.device_id.clone();
        let mut devices = self.devices.write().map_err(|_| {
            ApplicationError::OptimizationError("Failed to acquire devices lock".to_string())
        })?;

        devices.insert(device_id.clone(), device);
        println!("Registered device for monitoring: {device_id}");
        Ok(())
    }

    /// Get current device status
    pub fn get_device_status(&self, device_id: &str) -> ApplicationResult<DeviceStatus> {
        let devices = self.devices.read().map_err(|_| {
            ApplicationError::OptimizationError("Failed to read devices".to_string())
        })?;

        devices
            .get(device_id)
            .map(|device| device.status.clone())
            .ok_or_else(|| {
                ApplicationError::InvalidConfiguration(format!("Device {device_id} not found"))
            })
    }

    /// Get real-time performance metrics
    pub fn get_performance_metrics(
        &self,
        device_id: &str,
    ) -> ApplicationResult<DevicePerformanceMetrics> {
        let devices = self.devices.read().map_err(|_| {
            ApplicationError::OptimizationError("Failed to read devices".to_string())
        })?;

        let device = devices.get(device_id).ok_or_else(|| {
            ApplicationError::InvalidConfiguration(format!("Device {device_id} not found"))
        })?;

        let metrics = device.performance_metrics.read().map_err(|_| {
            ApplicationError::OptimizationError("Failed to read performance metrics".to_string())
        })?;

        Ok(metrics.clone())
    }

    /// Trigger adaptive compilation
    pub fn trigger_adaptive_compilation(
        &self,
        device_id: &str,
        problem: &IsingModel,
    ) -> ApplicationResult<CompilationParameters> {
        let mut compiler = self.adaptive_compiler.lock().map_err(|_| {
            ApplicationError::OptimizationError("Failed to acquire compiler lock".to_string())
        })?;

        // Get current device metrics
        let metrics = self.get_performance_metrics(device_id)?;

        // Determine if adaptation is needed
        let adaptation_needed = self.assess_adaptation_need(&metrics)?;

        if adaptation_needed {
            println!("Triggering adaptive compilation for device: {device_id}");

            // Generate adaptive compilation parameters
            let parameters = self.generate_adaptive_parameters(&metrics, problem)?;

            // Cache the compilation
            compiler.cache_compilation(problem, &parameters)?;

            Ok(parameters)
        } else {
            // Return default parameters
            Ok(CompilationParameters::default())
        }
    }

    /// Get active alerts
    pub fn get_active_alerts(&self) -> ApplicationResult<Vec<Alert>> {
        let alert_system = self.alert_system.lock().map_err(|_| {
            ApplicationError::OptimizationError("Failed to acquire alert system lock".to_string())
        })?;

        Ok(alert_system.active_alerts.values().cloned().collect())
    }

    /// Get failure predictions
    pub fn get_failure_predictions(&self) -> ApplicationResult<Vec<FailurePrediction>> {
        let detector = self.failure_detector.lock().map_err(|_| {
            ApplicationError::OptimizationError(
                "Failed to acquire failure detector lock".to_string(),
            )
        })?;

        Ok(detector.current_predictions.values().cloned().collect())
    }

    // Private helper methods

    /// Clone necessary components for monitoring thread
    fn clone_for_thread(&self) -> MonitoringThreadData {
        MonitoringThreadData {
            config: self.config.clone(),
            devices: Arc::clone(&self.devices),
            metrics_collector: Arc::clone(&self.metrics_collector),
            alert_system: Arc::clone(&self.alert_system),
            monitoring_active: Arc::clone(&self.monitoring_active),
        }
    }

    /// Main monitoring loop
    fn monitoring_loop(&self) {
        while self.monitoring_active.load(Ordering::Relaxed) {
            // Collect metrics from all devices
            self.collect_device_metrics();

            // Update noise characterization
            self.update_noise_characterization();

            // Check for alerts
            self.check_alert_conditions();

            // Update failure predictions
            self.update_failure_predictions();

            // Trigger optimizations if needed
            self.check_optimization_triggers();

            // Sleep until next collection interval
            thread::sleep(self.config.monitoring_interval);
        }
    }

    /// Collect metrics from all devices
    fn collect_device_metrics(&self) {
        // Implementation would collect real metrics from devices
        println!("Collecting device metrics...");
    }

    /// Update noise characterization
    fn update_noise_characterization(&self) {
        if self.config.enable_noise_characterization {
            // Implementation would perform real-time noise analysis
            println!("Updating noise characterization...");
        }
    }

    /// Check alert conditions
    fn check_alert_conditions(&self) {
        // Implementation would check thresholds and generate alerts
        println!("Checking alert conditions...");
    }

    /// Update failure predictions
    fn update_failure_predictions(&self) {
        if self.config.enable_failure_prediction {
            // Implementation would run prediction models
            println!("Updating failure predictions...");
        }
    }

    /// Check optimization triggers
    fn check_optimization_triggers(&self) {
        // Implementation would check if optimizations should be triggered
        println!("Checking optimization triggers...");
    }

    /// Assess if adaptation is needed
    fn assess_adaptation_need(
        &self,
        metrics: &DevicePerformanceMetrics,
    ) -> ApplicationResult<bool> {
        // Simple heuristic: adapt if error rate is above threshold
        Ok(metrics.error_rate > self.config.alert_thresholds.max_error_rate)
    }

    /// Generate adaptive compilation parameters
    fn generate_adaptive_parameters(
        &self,
        metrics: &DevicePerformanceMetrics,
        _problem: &IsingModel,
    ) -> ApplicationResult<CompilationParameters> {
        // Adaptive parameter generation based on current metrics
        let chain_strength = if metrics.error_rate > 0.1 {
            2.0 // Increase chain strength for high error rate
        } else {
            1.0
        };

        let temperature_compensation = if metrics.temperature > 0.02 {
            0.1 // Apply temperature compensation
        } else {
            0.0
        };

        Ok(CompilationParameters {
            chain_strength,
            annealing_schedule: vec![(0.0, 1.0), (1.0, 0.0)], // Linear schedule
            temperature_compensation,
            noise_mitigation: NoiseMitigationSettings::default(),
        })
    }
}

/// Thread data for monitoring
#[derive(Clone)]
pub(crate) struct MonitoringThreadData {
    pub config: MonitoringConfig,
    pub devices: Arc<RwLock<HashMap<String, MonitoredDevice>>>,
    pub metrics_collector: Arc<Mutex<MetricsCollector>>,
    pub alert_system: Arc<Mutex<AlertSystem>>,
    pub monitoring_active: Arc<AtomicBool>,
}

impl MonitoringThreadData {
    pub(crate) fn monitoring_loop(&self) {
        while self.monitoring_active.load(Ordering::Relaxed) {
            println!("Monitoring loop iteration");
            thread::sleep(self.config.monitoring_interval);
        }
    }
}