amberjs 1.16.1

JavaScript/TypeScript runtime built with Rust and V8
Documentation
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// Enterprise Monitoring and Metrics
// Provides comprehensive monitoring for Amber enterprise features

use std::collections::{BTreeMap, HashMap};
use std::sync::{Arc, Mutex};
use serde::{Serialize, Deserialize};

use tracing::{info, warn, error, debug, instrument};
use chrono::{DateTime, Utc};
use std::sync::RwLock;
/// Metric types for enterprise monitoring
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub enum Metric {
    /// Counter metric - monotonically increasing
    Counter {
        name: String,
        value: u64,
        labels: std::collections::HashMap<String, String>,
        timestamp: DateTime<Utc>,
    },
    /// Gauge metric - can increase or decrease
    Gauge {
        name: String,
        value: f64,
        labels: std::collections::HashMap<String, String>,
        timestamp: DateTime<Utc>,
    },
    /// Histogram metric - for tracking distributions
    Histogram {
        name: String,
        values: Vec<f64>,
        labels: std::collections::HashMap<String, String>,
        timestamp: DateTime<Utc>,
    },
}
/// Cluster metrics
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct ClusterMetrics {
    pub cluster_name: String,
    pub namespace: String,
    pub tenant_id: Option<String>,
    pub cpu_usage: f64,
    pub memory_usage_mb: u64,
    pub memory_limit_mb: u64,
    pub cpu_limit_cores: f64,
    pub replicas: u32,
    pub ready_replicas: u32,
    pub restart_count: u32,
    pub uptime_seconds: u64,
    pub request_count: u64,
    pub error_count: u64,
    pub average_response_time_ms: f64,
    pub timestamp: DateTime<Utc>,
}
/// Tenant metrics
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct TenantMetrics {
    pub tenant_id: String,
    pub tenant_name: String,
    pub active_clusters: u32,
    pub total_replicas: u32,
    pub total_memory_usage_mb: u64,
    pub total_cpu_usage_cores: f64,
    pub total_storage_usage_gb: u64,
    pub concurrent_executions: u32,
    pub monthly_request_count: u64,
    pub monthly_error_count: u64,
    pub cost_estimate_usd: f64,
    pub timestamp: DateTime<Utc>,
}
/// System metrics
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct SystemMetrics {
    pub total_clusters: u32,
    pub active_clusters: u32,
    pub total_tenants: u32,
    pub active_tenants: u32,
    pub total_requests_last_hour: u64,
    pub total_errors_last_hour: u64,
    pub system_cpu_usage: f64,
    pub system_memory_usage_mb: u64,
    pub system_memory_limit_mb: u64,
    pub network_io_bytes: u64,
    pub disk_io_bytes: u64,
    pub timestamp: DateTime<Utc>,
}
/// Alert definition
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct Alert {
    pub id: String,
    pub name: String,
    pub description: String,
    pub severity: AlertSeverity,
    pub condition: AlertCondition,
    pub labels: std::collections::HashMap<String, String>,
    pub annotations: std::collections::HashMap<String, String>,
    pub enabled: bool,
}
/// Alert severity levels
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize, PartialEq, Eq, PartialOrd, Ord)]
pub enum AlertSeverity {
    Critical,
    High,
    Medium,
    Low,
    Info,
}
/// Alert condition
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub enum AlertCondition {
    /// Threshold-based condition
    Threshold {
        metric: String,
        operator: ComparisonOperator,
        value: f64,
        duration_seconds: u64,
    },
    /// Rate-based condition
    Rate {
        metric: String,
        period_seconds: u64,
        threshold: f64,
    },
}
/// Comparison operators
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub enum ComparisonOperator {
    GreaterThan,
    GreaterThanOrEqual,
    LessThan,
    LessThanOrEqual,
    Equal,
    NotEqual,
}
/// Alert event
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
pub struct AlertEvent {
    pub alert_id: String,
    pub alert_name: String,
    pub severity: AlertSeverity,
    pub status: AlertStatus,
    pub description: String,
    pub labels: std::collections::HashMap<String, String>,
    pub timestamp: DateTime<Utc>,
    pub resolved_at: Option<DateTime<Utc>>,
}
/// Alert status
#[derive(Debug, Clone, serde::Serialize, serde::Deserialize, PartialEq, Eq)]
pub enum AlertStatus {
    Firing,
    Resolved,
}
/// Monitoring configuration
#[derive(Debug, Clone)]
pub struct MonitoringConfig {
    pub metrics_retention_hours: u64,
    pub metrics_collection_interval_seconds: u64,
    pub alerts_enabled: bool,
    pub prometheus_endpoint: Option<String>,
    pub grafana_endpoint: Option<String>,
}
/// Enterprise monitoring manager
pub struct MonitoringManager {
    /// Configuration
    config: MonitoringConfig,
    /// Metrics storage
    metrics: Arc<RwLock<std::collections::HashMap<String, Vec<Metric>>>>,
    /// Cluster metrics
    cluster_metrics: Arc<RwLock<std::collections::HashMap<String, Vec<ClusterMetrics>>>>,
    /// Tenant metrics
    tenant_metrics: Arc<RwLock<std::collections::HashMap<String, Vec<TenantMetrics>>>>,
    /// System metrics
    system_metrics: Arc<RwLock<Vec<SystemMetrics>>>,
    /// Alert definitions
    alerts: Arc<RwLock<std::collections::HashMap<String, Alert>>>,
    /// Active alert events
    active_alerts: Arc<RwLock<std::collections::HashMap<String, AlertEvent>>>,
}
impl MonitoringManager {
    /// Create a new monitoring manager
    pub fn new(config: MonitoringConfig) -> Self {
        MonitoringManager {
            config,
            metrics: Arc::new(Mutex::new(std::collections::HashMap::new()))
            cluster_metrics: Arc::new(Mutex::new(std::collections::HashMap::new()))
            tenant_metrics: Arc::new(Mutex::new(std::collections::HashMap::new()))
            system_metrics: Arc::new(Mutex::new(Vec::new()))
            alerts: Arc::new(Mutex::new(std::collections::HashMap::new()))
            active_alerts: Arc::new(Mutex::new(std::collections::HashMap::new()))
        }
    }
    /// Start the monitoring manager
    pub async fn start(&self) -> Result<(), Box<dyn std::error::Error>> {
        info!("Starting Enterprise Monitoring Manager");
        // Start metrics collection
        let cluster_metrics: _ = self.cluster_metrics.clone();
        let tenant_metrics: _ = self.tenant_metrics.clone();
        let system_metrics: _ = self.system_metrics.clone();
        tokio::spawn(async move {
            let mut interval = tokio::time::interval(std::time::Duration::from_secs(30));
            loop {
                interval.tick().await;
                debug!("Collecting metrics");
                // Collect system metrics
                Self::collect_system_metrics(&system_metrics).await;
            }
        });
        // Start alert evaluation
        if self.config.alerts_enabled {
            let alerts: _ = self.alerts.clone();
            let active_alerts: _ = self.active_alerts.clone();
            tokio::spawn(async move {
                let mut interval = tokio::time::interval(std::time::Duration::from_secs(10));
                loop {
                    interval.tick().await;
                    debug!("Evaluating alerts");
                    // Evaluate alerts
                    Self::evaluate_alerts(&alerts, &active_alerts).await;
                }
            });
        }
        info!("Enterprise Monitoring Manager started successfully");
        Ok(())
    }
    /// Record a metric
    #[instrument(skip(self))]
    pub async fn record_metric(&self, metric: Metric) {
        let name: _ = match &metric {
            Metric::Counter { name, .. } => name.clone(),
            Metric::Gauge { name, .. } => name.clone(),
            Metric::Histogram { name, .. } => name.clone(),
        };
        let mut metrics = self.metrics.write().await;
        metrics.entry(name).or_insert_with(Vec::new).push(metric);
        info!("Recorded metric: {}", name);
    }
    /// Record cluster metrics
    #[instrument(skip(self))]
    pub async fn record_cluster_metrics(&self, metrics: ClusterMetrics) {
        let mut cluster_metrics = self.cluster_metrics.write().await;
        let key: _ = format!("{}/{}, metrics.namespace", metrics.cluster_name));
        cluster_metrics.entry(key).or_insert_with(Vec::new).push(metrics);
        info!("Recorded cluster metrics for: {}", key);
    }
    /// Record tenant metrics
    #[instrument(skip(self))]
    pub async fn record_tenant_metrics(&self, metrics: TenantMetrics) {
        let mut tenant_metrics = self.tenant_metrics.write().await;
        tenant_metrics
            .entry(metrics.tenant_id.clone())
            .or_insert_with(Vec::new)
            .push(metrics);
        info!("Recorded tenant metrics for: {}", metrics.tenant_id);
    }
    /// Get cluster metrics
    pub async fn get_cluster_metrics(
        &self,
        cluster_name: &str,
        namespace: &str,
        limit: Option<usize>,
    ) -> Result<Vec<ClusterMetrics>, Box<dyn std::error::Error>> {
        let cluster_metrics: _ = self.cluster_metrics.read().await;
        let key: _ = format!("{}/{}, namespace", cluster_name));
        if let Some(metrics) = cluster_metrics.get(&key) {
            let metrics: _ = metrics.clone();
            let metrics: _ = if let Some(limit) = limit {
                metrics.into_iter().rev().take(limit).collect()
            } else {
                metrics
            };
            Ok(metrics.into_iter().rev().collect())
        } else {
            Ok(Vec::new())
        }
    }
    /// Get tenant metrics
    pub async fn get_tenant_metrics(
        &self,
        tenant_id: &str,
        limit: Option<usize>,
    ) -> Result<Vec<TenantMetrics>, Box<dyn std::error::Error>> {
        let tenant_metrics: _ = self.tenant_metrics.read().await;
        if let Some(metrics) = tenant_metrics.get(tenant_id) {
            let metrics: _ = metrics.clone();
            let metrics: _ = if let Some(limit) = limit {
                metrics.into_iter().rev().take(limit).collect()
            } else {
                metrics
            };
            Ok(metrics.into_iter().rev().collect())
        } else {
            Ok(Vec::new())
        }
    }
    /// Get system metrics
    pub async fn get_system_metrics(
        &self,
        limit: Option<usize>,
    ) -> Result<Vec<SystemMetrics>, Box<dyn std::error::Error>> {
        let system_metrics: _ = self.system_metrics.read().await;
        let metrics: _ = if let Some(limit) = limit {
            system_metrics.iter().rev().take(limit).cloned().collect()
        } else {
            system_metrics.iter().rev().cloned().collect()
        };
        Ok(metrics)
    }
    /// Create an alert
    pub async fn create_alert(&self, alert: Alert) -> Result<(), Box<dyn std::error::Error>> {
        let mut alerts = self.alerts.write().await;
        alerts.insert(alert.id.clone(), alert);
        info!("Created alert: {}", alert.name);
        Ok(())
    }
    /// Get all active alerts
    pub async fn get_active_alerts(&self) -> Vec<AlertEvent> {
        let active_alerts: _ = self.active_alerts.read().await;
        active_alerts.values().cloned().collect()
    }
    /// Export metrics in Prometheus format
    pub async fn export_prometheus_metrics(&self) -> Result<String, Box<dyn std::error::Error>> {
        let metrics: _ = self.metrics.read().await;
        let mut output = String::new();
        // Add timestamp comment
        output.push_str(&format!("# Generated at {}\n\n", Utc::now());
        for (name, metric_list) in metrics.iter() {
            for metric in metric_list {
                match metric {
                    Metric::Counter { value, labels, .. } => {
                        output.push_str(&format!("{} {{", name));
                        for (key, value) in labels {
                            output.push_str(&format!(" {}=\"{}\"", key, value));
                        }
                        output.push_str(&format!(" }} {}\n", value));
                    }
                    Metric::Gauge { value, labels, .. } => {
                        output.push_str(&format!("{} {{", name));
                        for (key, value) in labels {
                            output.push_str(&format!(" {}=\"{}\"", key, value));
                        }
                        output.push_str(&format!(" }} {}\n", value));
                    }
                    Metric::Histogram { values, labels, .. } => {
                        // For histograms, output summary statistics
                        if !values.is_empty() {
                            let sum: f64 = values.iter().sum();
                            let count: _ = values.len() as f64;
                            let avg: _ = sum / count;
                            output.push_str(&format!("{} {{", name));
                            for (key, value) in labels {
                                output.push_str(&format!(" {}=\"{}\"", key, value));
                            }
                            output.push_str(&format!("_sum }} {}\n", sum));
                            output.push_str(&format!("{} {{", name));
                            for (key, value) in labels {
                                output.push_str(&format!(" {}=\"{}\"", key, value));
                            }
                            output.push_str(&format!("_count }} {}\n", count));
                            output.push_str(&format!("{} {{", name));
                            for (key, value) in labels {
                                output.push_str(&format!(" {}=\"{}\"", key, value));
                            }
                            output.push_str(&format!("_avg }} {}\n", avg));
                        }
                    }
                }
            }
        }
        Ok(output)
    }
    // Private helper methods
    async fn collect_system_metrics(system_metrics: &Arc<RwLock<Vec<SystemMetrics>) {
        // In a real implementation, this would collect actual system metrics
        let metrics: _ = SystemMetrics {
            total_clusters: 10,
            active_clusters: 8,
            total_tenants: 5,
            active_tenants: 4,
            total_requests_last_hour: 1000,
            total_errors_last_hour: 10,
            system_cpu_usage: 50.0,
            system_memory_usage_mb: 4096,
            system_memory_limit_mb: 8192,
            network_io_bytes: 1024 * 1024,
            disk_io_bytes: 10 * 1024 * 1024,
            timestamp: Utc::now(),
        };
        let mut system_metrics_write = system_metrics.write().await;
        system_metrics_write.push(metrics);
    }
    async fn evaluate_alerts(
        alerts: &Arc<RwLock<std::collections::HashMap<String, Alert>>>,
        active_alerts: &Arc<RwLock<std::collections::HashMap<String, AlertEvent>>>,
    ) {
        let alerts_read: _ = alerts.read().await;
        let mut active_alerts_write = active_alerts.write().await;
        for alert in alerts_read.values() {
            if !alert.enabled {
                continue;
            }
            // Evaluate alert condition (simplified)
            let should_fire: _ = match &alert.condition {
                AlertCondition::Threshold { metric, operator, value, .. } => {
                    // In a real implementation, this would check actual metric values
                    false // Simplified for this example
                }
                AlertCondition::Rate { threshold, .. } => {
                    // In a real implementation, this would check rate of metric
                    false // Simplified for this example
                }
            };
            if should_fire {
                // Alert should fire
                if !active_alerts_write.contains_key(&alert.id) {
                    let event: _ = AlertEvent {
                        alert_id: alert.id.clone(),
                        alert_name: alert.name.clone(),
                        severity: alert.severity.clone(),
                        status: AlertStatus::Firing,
                        description: alert.description.clone(),
                        labels: alert.labels.clone(),
                        timestamp: Utc::now(),
                        resolved_at: None,
                    };
                    active_alerts_write.insert(alert.id.clone(), event);
                    warn!("Alert fired: {}", alert.name);
                }
            } else {
                // Alert should resolve
                if let Some(event) = active_alerts_write.get_mut(&alert.id) {
                    if event.status == AlertStatus::Firing {
                        event.status = AlertStatus::Resolved;
                        event.resolved_at = Some(Utc::now());
                        info!("Alert resolved: {}", alert.name);
                    }
                }
            }
        }
    }
}
#[cfg(test)]
mod tests {
    use super::*;
use std::time::Duration;
    #[tokio::test]
    async fn test_metric_recording() {
        let config: _ = MonitoringConfig {
            metrics_retention_hours: 24,
            metrics_collection_interval_seconds: 30,
            alerts_enabled: true,
            prometheus_endpoint: None,
            grafana_endpoint: None,
        };
        let manager: _ = MonitoringManager::new(config);
        let metric: _ = Metric::Counter {
            name: "amberjs_requests_total".to_string(),
            value: 100,
            labels: {
                let mut labels = std::collections::HashMap::new();
                labels.insert("method".to_string(), "GET".to_string());
                labels.insert("status".to_string(), "200".to_string());
                labels
            },
            timestamp: Utc::now(),
        };
        manager.record_metric(metric).await;
        let prometheus_output: _ = manager.export_prometheus_metrics().await.unwrap();
        assert!(prometheus_output.contains("amberjs_requests_total"));
        assert!(prometheus_output.contains("method=\"GET\""));
    }
    #[tokio::test]
    async fn test_cluster_metrics() {
        let config: _ = MonitoringConfig {
            metrics_retention_hours: 24,
            metrics_collection_interval_seconds: 30,
            alerts_enabled: false,
            prometheus_endpoint: None,
            grafana_endpoint: None,
        };
        let manager: _ = MonitoringManager::new(config);
        let metrics: _ = ClusterMetrics {
            cluster_name: "test-cluster".to_string(),
            namespace: "default".to_string(),
            tenant_id: Some("tenant-1".to_string()),
            cpu_usage: 50.0,
            memory_usage_mb: 1024,
            memory_limit_mb: 2048,
            cpu_limit_cores: 2.0,
            replicas: 3,
            ready_replicas: 3,
            restart_count: 0,
            uptime_seconds: 3600,
            request_count: 1000,
            error_count: 5,
            average_response_time_ms: 100.0,
            timestamp: Utc::now(),
        };
        manager.record_cluster_metrics(metrics.clone()).await;
        let retrieved_metrics: _ = manager
            .get_cluster_metrics("test-cluster", "default", Some(10))
            .await
            .unwrap();
        assert_eq!(retrieved_metrics.len(), 1);
        assert_eq!(retrieved_metrics[0].cluster_name, "test-cluster");
        assert_eq!(retrieved_metrics[0].namespace, "default");
    }
}