use std::collections::HashMap;
use std::time::Duration;
use super::*;
use crate::DeviceResult;
impl AlertGenerator {
pub fn new(config: &AlertConfig) -> Self {
Self {
thresholds: config.thresholds.clone(),
alert_history: VecDeque::with_capacity(1000),
escalation_manager: EscalationManager::new(&config.escalation),
}
}
pub fn check_for_alerts(&mut self, characterization: &CrosstalkCharacterization) -> DeviceResult<Vec<AlertEvent>> {
let mut alerts = Vec::new();
let current_time = SystemTime::now();
let max_crosstalk = characterization.crosstalk_matrix.mapv(|x| x.abs()).max().unwrap_or(0.0);
if max_crosstalk > self.thresholds.crosstalk_threshold {
let alert = AlertEvent {
timestamp: current_time,
level: AlertLevel::Warning,
alert_type: "High Crosstalk".to_string(),
message: format!("Crosstalk level {:.3} exceeds threshold {:.3}",
max_crosstalk, self.thresholds.crosstalk_threshold),
affected_qubits: self.identify_affected_qubits(characterization),
recommended_actions: vec!["Apply compensation".to_string(), "Recalibrate".to_string()],
};
alerts.push(alert.clone());
self.alert_history.push_back(alert);
}
let instability_metric = self.calculate_instability_metric(characterization)?;
if instability_metric > self.thresholds.instability_threshold {
let alert = AlertEvent {
timestamp: current_time,
level: AlertLevel::Critical,
alert_type: "System Instability".to_string(),
message: format!("Instability metric {:.3} exceeds threshold {:.3}",
instability_metric, self.thresholds.instability_threshold),
affected_qubits: vec![], recommended_actions: vec!["Emergency stop".to_string(), "System diagnosis".to_string()],
};
alerts.push(alert.clone());
self.alert_history.push_back(alert);
}
self.escalation_manager.update_escalation(&alerts)?;
while self.alert_history.len() > 1000 {
self.alert_history.pop_front();
}
Ok(alerts)
}
fn identify_affected_qubits(&self, characterization: &CrosstalkCharacterization) -> Vec<usize> {
let mut affected_qubits = Vec::new();
let threshold = self.thresholds.crosstalk_threshold;
for i in 0..characterization.crosstalk_matrix.nrows() {
for j in 0..characterization.crosstalk_matrix.ncols() {
if characterization.crosstalk_matrix[[i, j]].abs() > threshold {
if !affected_qubits.contains(&i) {
affected_qubits.push(i);
}
if !affected_qubits.contains(&j) {
affected_qubits.push(j);
}
}
}
}
affected_qubits
}
fn calculate_instability_metric(&self, characterization: &CrosstalkCharacterization) -> DeviceResult<f64> {
let matrix = &characterization.crosstalk_matrix;
let frobenius_norm = matrix.mapv(|x| x * x).sum().sqrt();
let normalized_norm = frobenius_norm / (matrix.nrows() as f64 * matrix.ncols() as f64).sqrt();
Ok(normalized_norm)
}
pub fn get_alert_statistics(&self) -> AlertStatistics {
if self.alert_history.is_empty() {
return AlertStatistics::default();
}
let mut level_counts = HashMap::new();
let mut type_counts = HashMap::new();
for alert in &self.alert_history {
*level_counts.entry(alert.level.clone()).or_insert(0) += 1;
*type_counts.entry(alert.alert_type.clone()).or_insert(0) += 1;
}
let total_alerts = self.alert_history.len();
let recent_alerts = self.alert_history.iter()
.rev()
.take(10)
.count();
AlertStatistics {
total_alerts,
recent_alerts,
level_distribution: level_counts,
type_distribution: type_counts,
}
}
}
impl AlertSystem {
pub fn new(config: &AlertConfig) -> Self {
Self {
notification_channels: config.notification_channels.clone(),
alert_queue: VecDeque::with_capacity(1000),
notification_history: Vec::new(),
}
}
pub fn send_alert(&mut self, alert: AlertEvent) -> DeviceResult<()> {
self.alert_queue.push_back(alert.clone());
for channel in &self.notification_channels {
self.send_notification(channel, &alert)?;
}
if self.alert_queue.len() > 1000 {
self.alert_queue.pop_front();
}
Ok(())
}
fn send_notification(&mut self, channel: &NotificationChannel, alert: &AlertEvent) -> DeviceResult<()> {
let notification_message = format!(
"[{}] {}: {} at {:?}",
alert.level as u8,
alert.alert_type,
alert.message,
alert.timestamp
);
match channel {
NotificationChannel::Log { level } => {
println!("[{}] {}", level, notification_message);
self.notification_history.push(format!("LOG: {}", notification_message));
},
NotificationChannel::Email { recipients } => {
for recipient in recipients {
println!("EMAIL to {}: {}", recipient, notification_message);
self.notification_history.push(format!("EMAIL to {}: {}", recipient, notification_message));
}
},
NotificationChannel::Slack { webhook_url, channel: slack_channel } => {
println!("SLACK #{}: {}", slack_channel, notification_message);
self.notification_history.push(format!("SLACK #{}: {}", slack_channel, notification_message));
},
NotificationChannel::Database { table } => {
println!("DB {}: {}", table, notification_message);
self.notification_history.push(format!("DB {}: {}", table, notification_message));
},
NotificationChannel::WebSocket { endpoint } => {
println!("WS {}: {}", endpoint, notification_message);
self.notification_history.push(format!("WS {}: {}", endpoint, notification_message));
},
}
Ok(())
}
pub fn get_pending_alerts(&self) -> &VecDeque<AlertEvent> {
&self.alert_queue
}
pub fn clear_processed_alerts(&mut self, count: usize) {
for _ in 0..count.min(self.alert_queue.len()) {
self.alert_queue.pop_front();
}
}
pub fn get_notification_history(&self) -> &Vec<String> {
&self.notification_history
}
}
impl EscalationManager {
pub fn new(config: &AlertEscalation) -> Self {
Self {
escalation_levels: config.escalation_levels.clone(),
current_level: 0,
escalation_timer: None,
}
}
pub fn update_escalation(&mut self, alerts: &[AlertEvent]) -> DeviceResult<()> {
if alerts.is_empty() {
self.reset_escalation();
return Ok(());
}
let highest_severity = alerts.iter()
.map(|alert| self.get_alert_severity(&alert.level))
.max()
.unwrap_or(0);
if highest_severity > self.current_level {
self.escalate_to_level(highest_severity)?;
}
if let Some(timer_start) = self.escalation_timer {
let escalation_time = Duration::from_secs(30); if timer_start.elapsed().unwrap_or(Duration::ZERO) > escalation_time {
self.escalate_next_level()?;
}
}
Ok(())
}
fn get_alert_severity(&self, level: &AlertLevel) -> usize {
match level {
AlertLevel::Info => 0,
AlertLevel::Warning => 1,
AlertLevel::Error => 2,
AlertLevel::Critical => 3,
AlertLevel::Emergency => 4,
}
}
fn escalate_to_level(&mut self, level: usize) -> DeviceResult<()> {
if level < self.escalation_levels.len() {
self.current_level = level;
self.escalation_timer = Some(SystemTime::now());
let escalation_level = &self.escalation_levels[level];
self.execute_escalation_actions(escalation_level)?;
}
Ok(())
}
fn escalate_next_level(&mut self) -> DeviceResult<()> {
let next_level = self.current_level + 1;
if next_level < self.escalation_levels.len() {
self.escalate_to_level(next_level)?;
}
Ok(())
}
fn execute_escalation_actions(&self, level: &EscalationLevel) -> DeviceResult<()> {
println!("Executing escalation actions for level: {}", level.level);
for action in &level.actions {
match action.as_str() {
"alert" => {
println!("Sending escalated alert");
},
"compensate" => {
println!("Applying emergency compensation");
},
"shutdown" => {
println!("Initiating emergency shutdown");
},
_ => {
println!("Executing action: {}", action);
},
}
}
Ok(())
}
fn reset_escalation(&mut self) {
self.current_level = 0;
self.escalation_timer = None;
}
pub fn get_current_level(&self) -> usize {
self.current_level
}
pub fn get_escalation_level_name(&self) -> Option<String> {
if self.current_level < self.escalation_levels.len() {
Some(self.escalation_levels[self.current_level].level.clone())
} else {
None
}
}
}
impl MitigationCoordinator {
pub fn new(config: &MultilevelMitigationConfig) -> Self {
Self {
config: config.clone(),
active_levels: HashMap::new(),
coordination_strategy: config.coordination_strategy.clone(),
resource_manager: ResourceManager::new(),
}
}
pub async fn coordinate_mitigation(&mut self, characterization: &CrosstalkCharacterization) -> DeviceResult<MultilevelMitigationResult> {
let required_levels = self.determine_required_levels(characterization)?;
self.update_active_levels(&required_levels)?;
let coordination_effectiveness = self.coordinate_levels(characterization).await?;
let level_performance = self.evaluate_level_performance(characterization)?;
let resource_utilization = self.resource_manager.calculate_utilization(&self.active_levels)?;
let overall_effectiveness = self.calculate_overall_effectiveness(&level_performance);
Ok(MultilevelMitigationResult {
active_levels: required_levels,
level_performance,
coordination_effectiveness,
resource_utilization,
overall_effectiveness,
})
}
fn determine_required_levels(&self, characterization: &CrosstalkCharacterization) -> DeviceResult<Vec<String>> {
let mut required_levels = Vec::new();
let crosstalk_strength = characterization.crosstalk_matrix.mapv(|x| x.abs()).mean().unwrap_or(0.0);
let max_crosstalk = characterization.crosstalk_matrix.mapv(|x| x.abs()).max().unwrap_or(0.0);
for level in &self.config.mitigation_levels {
let should_activate = match level.name.as_str() {
"Level1_Fast" => max_crosstalk > 0.05, "Level2_Accurate" => max_crosstalk > 0.1, "Level3_Comprehensive" => max_crosstalk > 0.2, _ => crosstalk_strength > 0.1, };
if should_activate {
required_levels.push(level.name.clone());
}
}
self.apply_level_selection_strategy(&mut required_levels)?;
Ok(required_levels)
}
fn apply_level_selection_strategy(&self, levels: &mut Vec<String>) -> DeviceResult<()> {
match &self.config.level_selection {
LevelSelectionStrategy::Priority => {
levels.sort_by_key(|name| {
self.config.mitigation_levels.iter()
.find(|level| &level.name == name)
.map(|level| level.priority)
.unwrap_or(999)
});
},
LevelSelectionStrategy::Dynamic { criteria } => {
self.apply_dynamic_selection(levels, criteria)?;
},
LevelSelectionStrategy::Adaptive { selection_criteria } => {
self.apply_adaptive_selection(levels, selection_criteria)?;
},
LevelSelectionStrategy::RoundRobin => {
if levels.len() > 1 {
levels.truncate(1); }
},
LevelSelectionStrategy::LoadBalanced => {
self.apply_load_balanced_selection(levels)?;
},
}
Ok(())
}
fn apply_dynamic_selection(&self, levels: &mut Vec<String>, criteria: &[String]) -> DeviceResult<()> {
for criterion in criteria {
match criterion.as_str() {
"latency" => {
levels.sort_by_key(|name| {
self.get_level_latency(name).unwrap_or(Duration::MAX)
});
},
"accuracy" => {
levels.sort_by_key(|name| {
-(self.get_level_accuracy(name).unwrap_or(0.0) * 1000.0) as i64
});
},
"efficiency" => {
levels.sort_by_key(|name| {
-(self.get_level_efficiency(name).unwrap_or(0.0) * 1000.0) as i64
});
},
_ => {
}
}
}
Ok(())
}
fn apply_adaptive_selection(&self, levels: &mut Vec<String>, criteria: &[String]) -> DeviceResult<()> {
self.apply_dynamic_selection(levels, criteria)
}
fn apply_load_balanced_selection(&self, levels: &mut Vec<String>) -> DeviceResult<()> {
levels.retain(|name| {
self.resource_manager.can_allocate_for_level(name).unwrap_or(false)
});
Ok(())
}
fn get_level_latency(&self, level_name: &str) -> Option<Duration> {
self.config.mitigation_levels.iter()
.find(|level| level.name == level_name)
.map(|level| level.performance_targets.max_latency)
}
fn get_level_accuracy(&self, level_name: &str) -> Option<f64> {
self.config.mitigation_levels.iter()
.find(|level| level.name == level_name)
.map(|level| level.performance_targets.crosstalk_reduction)
}
fn get_level_efficiency(&self, level_name: &str) -> Option<f64> {
let level = self.config.mitigation_levels.iter()
.find(|level| level.name == level_name)?;
let accuracy = level.performance_targets.crosstalk_reduction;
let cost = level.resource_requirements.computational_complexity;
if cost > 0.0 {
Some(accuracy / cost)
} else {
Some(accuracy)
}
}
fn update_active_levels(&mut self, required_levels: &[String]) -> DeviceResult<()> {
self.active_levels.clear();
for level_name in required_levels {
self.active_levels.insert(level_name.clone(), true);
}
Ok(())
}
async fn coordinate_levels(&mut self, characterization: &CrosstalkCharacterization) -> DeviceResult<f64> {
match &self.coordination_strategy {
CoordinationStrategy::Sequential => {
self.coordinate_sequential(characterization).await
},
CoordinationStrategy::Parallel => {
self.coordinate_parallel(characterization).await
},
CoordinationStrategy::Hierarchical { control_hierarchy } => {
self.coordinate_hierarchical(characterization, control_hierarchy).await
},
CoordinationStrategy::Adaptive { coordination_algorithm } => {
self.coordinate_adaptive(characterization, coordination_algorithm).await
},
}
}
async fn coordinate_sequential(&mut self, characterization: &CrosstalkCharacterization) -> DeviceResult<f64> {
let mut effectiveness = 0.0;
let mut remaining_crosstalk = characterization.crosstalk_matrix.clone();
for (level_name, &is_active) in &self.active_levels {
if is_active {
let level_effectiveness = self.apply_level_mitigation(level_name, &remaining_crosstalk)?;
effectiveness += level_effectiveness;
remaining_crosstalk = &remaining_crosstalk * (1.0 - level_effectiveness);
}
}
Ok(effectiveness.min(1.0))
}
async fn coordinate_parallel(&mut self, characterization: &CrosstalkCharacterization) -> DeviceResult<f64> {
let mut total_effectiveness = 0.0;
let mut level_count = 0;
for (level_name, &is_active) in &self.active_levels {
if is_active {
let level_effectiveness = self.apply_level_mitigation(level_name, &characterization.crosstalk_matrix)?;
total_effectiveness += level_effectiveness;
level_count += 1;
}
}
let coordination_effectiveness = if level_count > 0 {
total_effectiveness / level_count as f64
} else {
0.0
};
Ok(coordination_effectiveness)
}
async fn coordinate_hierarchical(&mut self, characterization: &CrosstalkCharacterization, hierarchy: &[String]) -> DeviceResult<f64> {
let mut effectiveness = 0.0;
let mut remaining_crosstalk = characterization.crosstalk_matrix.clone();
for level_name in hierarchy {
if self.active_levels.get(level_name).unwrap_or(&false) {
let level_effectiveness = self.apply_level_mitigation(level_name, &remaining_crosstalk)?;
effectiveness += level_effectiveness * 0.9_f64.powi(effectiveness as i32);
remaining_crosstalk = &remaining_crosstalk * (1.0 - level_effectiveness);
}
}
Ok(effectiveness.min(1.0))
}
async fn coordinate_adaptive(&mut self, characterization: &CrosstalkCharacterization, algorithm: &str) -> DeviceResult<f64> {
match algorithm {
"reinforcement_learning" => {
self.coordinate_parallel(characterization).await
},
"genetic_algorithm" => {
self.coordinate_hierarchical(characterization, &self.get_default_hierarchy()).await
},
_ => {
self.coordinate_sequential(characterization).await
}
}
}
fn get_default_hierarchy(&self) -> Vec<String> {
let mut levels: Vec<_> = self.active_levels.keys().cloned().collect();
levels.sort();
levels
}
fn apply_level_mitigation(&self, level_name: &str, crosstalk_matrix: &scirs2_core::ndarray::Array2<f64>) -> DeviceResult<f64> {
let level = self.config.mitigation_levels.iter()
.find(|level| level.name == level_name);
if let Some(level) = level {
let target_reduction = level.performance_targets.crosstalk_reduction;
let current_crosstalk = crosstalk_matrix.mapv(|x| x.abs()).mean().unwrap_or(0.0);
let effectiveness = (target_reduction * (1.0 - current_crosstalk)).min(target_reduction);
Ok(effectiveness)
} else {
Ok(0.0)
}
}
fn evaluate_level_performance(&self, characterization: &CrosstalkCharacterization) -> DeviceResult<HashMap<String, LevelPerformance>> {
let mut performance_map = HashMap::new();
for (level_name, &is_active) in &self.active_levels {
if is_active {
let level = self.config.mitigation_levels.iter()
.find(|level| level.name == level_name);
if let Some(level) = level {
let effectiveness = self.apply_level_mitigation(level_name, &characterization.crosstalk_matrix)?;
let resource_usage = self.calculate_level_resource_usage(level);
let response_time = level.performance_targets.max_latency;
let stability = level.performance_targets.reliability;
performance_map.insert(level_name.clone(), LevelPerformance {
effectiveness,
resource_usage,
response_time,
stability,
});
}
}
}
Ok(performance_map)
}
fn calculate_level_resource_usage(&self, level: &MitigationLevel) -> f64 {
let computational_usage = level.resource_requirements.computational_complexity / 10.0; let memory_usage = level.resource_requirements.memory_mb as f64 / 1024.0;
(computational_usage + memory_usage) / 2.0
}
fn calculate_overall_effectiveness(&self, level_performance: &HashMap<String, LevelPerformance>) -> f64 {
if level_performance.is_empty() {
return 0.0;
}
let total_effectiveness: f64 = level_performance.values()
.map(|perf| perf.effectiveness * perf.stability)
.sum();
total_effectiveness / level_performance.len() as f64
}
pub fn get_active_levels(&self) -> Vec<String> {
self.active_levels.iter()
.filter(|(_, &is_active)| is_active)
.map(|(name, _)| name.clone())
.collect()
}
pub fn get_coordination_status(&self) -> CoordinationStatus {
let active_count = self.active_levels.values().filter(|&&is_active| is_active).count();
CoordinationStatus {
active_level_count: active_count,
coordination_strategy: self.coordination_strategy.clone(),
resource_utilization: self.resource_manager.get_current_utilization(),
last_update: SystemTime::now(),
}
}
}
impl ResourceManager {
pub fn new() -> Self {
Self {
available_resources: ResourceRequirements {
computational_complexity: 10.0,
memory_mb: 1024,
realtime_constraints: Duration::from_millis(1),
hardware_requirements: vec!["CPU".to_string(), "GPU".to_string()],
},
allocated_resources: HashMap::new(),
optimization_targets: PerformanceTargets {
crosstalk_reduction: 0.8,
fidelity_improvement: 0.2,
max_latency: Duration::from_millis(10),
reliability: 0.95,
},
}
}
pub fn calculate_utilization(&mut self, active_levels: &HashMap<String, bool>) -> DeviceResult<ResourceUtilizationResult> {
let mut cpu_utilization = 0.0;
let mut memory_utilization = 0.0;
let mut computation_time = Duration::ZERO;
let mut hardware_utilization = HashMap::new();
for (level_name, &is_active) in active_levels {
if is_active {
cpu_utilization += 0.1; memory_utilization += 0.05; computation_time += Duration::from_millis(5);
hardware_utilization.insert(level_name.clone(), 0.1);
}
}
Ok(ResourceUtilizationResult {
cpu_utilization: cpu_utilization.min(1.0),
memory_utilization: memory_utilization.min(1.0),
computation_time,
hardware_utilization,
})
}
pub fn can_allocate_for_level(&self, level_name: &str) -> Option<bool> {
let current_cpu = self.get_current_cpu_usage();
let current_memory = self.get_current_memory_usage();
Some(current_cpu < 0.8 && current_memory < 0.8)
}
fn get_current_cpu_usage(&self) -> f64 {
self.allocated_resources.len() as f64 * 0.1
}
fn get_current_memory_usage(&self) -> f64 {
self.allocated_resources.len() as f64 * 0.05
}
pub fn get_current_utilization(&self) -> f64 {
let cpu_usage = self.get_current_cpu_usage();
let memory_usage = self.get_current_memory_usage();
(cpu_usage + memory_usage) / 2.0
}
pub fn allocate_resources(&mut self, level_name: String, requirements: ResourceRequirements) -> DeviceResult<()> {
if self.can_allocate_for_level(&level_name).unwrap_or(false) {
self.allocated_resources.insert(level_name, requirements);
Ok(())
} else {
Err(crate::DeviceError::InsufficientResources)
}
}
pub fn deallocate_resources(&mut self, level_name: &str) -> DeviceResult<()> {
self.allocated_resources.remove(level_name);
Ok(())
}
pub fn optimize_allocation(&mut self) -> DeviceResult<()> {
let mut levels: Vec<_> = self.allocated_resources.keys().cloned().collect();
levels.sort_by_key(|name| {
self.allocated_resources.get(name)
.map(|req| -(req.computational_complexity * 1000.0) as i64)
.unwrap_or(0)
});
let old_allocation = self.allocated_resources.clone();
self.allocated_resources.clear();
for level_name in levels {
if let Some(requirements) = old_allocation.get(&level_name) {
self.allocated_resources.insert(level_name, requirements.clone());
}
}
Ok(())
}
}
#[derive(Debug, Clone)]
pub struct AlertStatistics {
pub total_alerts: usize,
pub recent_alerts: usize,
pub level_distribution: HashMap<AlertLevel, usize>,
pub type_distribution: HashMap<String, usize>,
}
impl Default for AlertStatistics {
fn default() -> Self {
Self {
total_alerts: 0,
recent_alerts: 0,
level_distribution: HashMap::new(),
type_distribution: HashMap::new(),
}
}
}
#[derive(Debug, Clone)]
pub struct CoordinationStatus {
pub active_level_count: usize,
pub coordination_strategy: CoordinationStrategy,
pub resource_utilization: f64,
pub last_update: SystemTime,
}