amberjs 1.17.0

// Data Collector
//
// Collects system metrics and performance data for AI analysis.

use super::error::Result;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
use std::time::{Duration, SystemTime, UNIX_EPOCH};
use tokio::sync::Mutex;
use tokio::time;
/// Metric types for monitoring
#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
pub enum MetricType {
    /// CPU usage percentage
    CpuUsage,
    /// Memory usage in bytes
    MemoryUsage,
    /// Disk I/O operations per second
    DiskIO,
    /// Network I/O in bytes per second
    NetworkIO,
    /// Request latency in milliseconds
    RequestLatency,
    /// Request throughput (requests per second)
    RequestThroughput,
    /// Error rate (errors per second)
    ErrorRate,
    /// Custom metric
    Custom(String),
}
/// System metric data point
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Metric {
    /// Metric type
    pub metric_type: MetricType,
    /// Metric value
    pub value: f64,
    /// Timestamp
    pub timestamp: Duration,
    /// Labels/tags for the metric
    pub labels: HashMap<String, String>,
}
/// Performance snapshot
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PerformanceSnapshot {
    /// Snapshot timestamp
    pub timestamp: Duration,
    /// CPU usage percentage
    pub cpu_usage: f64,
    /// Memory usage in bytes
    pub memory_usage: u64,
    /// Disk I/O operations per second
    pub disk_io: f64,
    /// Network I/O in bytes per second
    pub network_io: u64,
    /// Request latency in milliseconds
    pub request_latency: f64,
    /// Request throughput (requests per second)
    pub request_throughput: f64,
    /// Error rate (errors per second)
    pub error_rate: f64,
}
/// Data Collector
///
/// Collects system metrics and performance data at regular intervals.
pub struct DataCollector {
    /// Collection interval
    interval: Duration,
    /// Latest metrics cache
    latest_metrics: Arc<Mutex<Vec<Metric>>>,
    /// Metrics history (last N collections)
    history: Arc<Mutex<Vec<PerformanceSnapshot>>>,
}
impl DataCollector {
    /// Create a new data collector
    ///
    /// # Arguments
    ///
    /// * `interval` - Collection interval
    ///
    /// # Returns
    ///
    /// Returns `DataCollector` instance
    pub fn new(interval: Duration) -> Self {
        Self {
            interval,
            latest_metrics: Arc::new(Mutex::new(Vec::new())),
            history: Arc::new(Mutex::new(Vec::new())),
        }
    }
    /// Start data collection
    ///
    /// This method runs in the background and collects metrics at the specified interval.
    pub async fn start(&self) -> Result<()> {
        let interval: _ = self.interval;
        let latest_metrics: _ = self.latest_metrics.clone();
        let history: _ = self.history.clone();
        tokio::spawn(async move {
            let mut interval_timer = time::interval(interval);
            loop {
                interval_timer.tick().await;
                // Collect metrics
                let snapshot: _ = Self::collect_system_metrics().await;
                // Update latest metrics
                {
                    let mut metrics = latest_metrics.lock().await;
                    metrics.clear();
                    metrics.extend(Self::metrics_from_snapshot(&snapshot));
                }
                // Update history
                {
                    let mut hist = history.lock().await;
                    hist.push(snapshot);
                    // Keep only last 1000 snapshots
                    if hist.len() > 1000 {
                        hist.remove(0);
                    }
                }
            }
        });
        Ok(())
    }
    /// Get latest metrics
    ///
    /// # Returns
    ///
    /// Returns `Vec<Metric>` containing the latest collected metrics
    pub async fn get_latest_metrics(&self) -> Vec<Metric> {
        let metrics: _ = self.latest_metrics.lock().await;
        metrics.clone()
    }
    /// Get performance history
    ///
    /// # Arguments
    ///
    /// * `count` - Number of snapshots to retrieve (most recent first)
    ///
    /// # Returns
    ///
    /// Returns `Vec<PerformanceSnapshot>` containing the requested snapshots
    pub async fn get_history(&self, count: usize) -> Vec<PerformanceSnapshot> {
        let hist: _ = self.history.lock().await;
        let len: _ = hist.len();
        let start: _ = if len > count { len - count } else { 0 };
        hist[start..].to_vec()
    }
    /// Collect system metrics (placeholder implementation)
    ///
    /// # Returns
    ///
    /// Returns `PerformanceSnapshot` containing current system state
    async fn collect_system_metrics() -> PerformanceSnapshot {
        // In a real implementation, this would collect actual system metrics
        // For now, we'll return placeholder data
        let now: _ = SystemTime::now()
            .duration_since(UNIX_EPOCH)
            .unwrap_or_default();
        PerformanceSnapshot {
            timestamp: now,
            cpu_usage: 0.0,          // TODO: Collect actual CPU usage
            memory_usage: 0,         // TODO: Collect actual memory usage
            disk_io: 0.0,            // TODO: Collect actual disk I/O
            network_io: 0,           // TODO: Collect actual network I/O
            request_latency: 0.0,    // TODO: Collect actual request latency
            request_throughput: 0.0, // TODO: Collect actual throughput
            error_rate: 0.0,         // TODO: Collect actual error rate
        }
    }
    /// Convert performance snapshot to metrics
    ///
    /// # Arguments
    ///
    /// * `snapshot` - Performance snapshot
    ///
    /// # Returns
    ///
    /// Returns `Vec<Metric>` containing individual metrics
    fn metrics_from_snapshot(snapshot: &PerformanceSnapshot) -> Vec<Metric> {
        let timestamp: _ = snapshot.timestamp;
        let labels: _ = HashMap::new();
        vec![
            Metric {
                metric_type: MetricType::CpuUsage,
                value: snapshot.cpu_usage,
                timestamp,
                labels: labels.clone(),
            },
            Metric {
                metric_type: MetricType::MemoryUsage,
                value: snapshot.memory_usage as f64,
                timestamp,
                labels: labels.clone(),
            },
            Metric {
                metric_type: MetricType::DiskIO,
                value: snapshot.disk_io,
                timestamp,
                labels: labels.clone(),
            },
            Metric {
                metric_type: MetricType::NetworkIO,
                value: snapshot.network_io as f64,
                timestamp,
                labels: labels.clone(),
            },
            Metric {
                metric_type: MetricType::RequestLatency,
                value: snapshot.request_latency,
                timestamp,
                labels: labels.clone(),
            },
            Metric {
                metric_type: MetricType::RequestThroughput,
                value: snapshot.request_throughput,
                timestamp,
                labels: labels.clone(),
            },
            Metric {
                metric_type: MetricType::ErrorRate,
                value: snapshot.error_rate,
                timestamp,
                labels,
            },
        ]
    }
}
impl Default for DataCollector {
    fn default() -> Self {
        Self::new(Duration::from_secs(5))
    }
}