//! Performance anomaly detection implementation
//!
//! This module contains the implementation for detecting performance anomalies
//! and triggering automatic recovery mechanisms.

use super::types::*;
use crate::common::IntegrateFloat;
use crate::error::{IntegrateError, IntegrateResult};
use std::time::Instant;

impl PerformanceAnomalyDetector {
    /// Create a new performance anomaly detector
    pub fn new() -> Self {
        Self {
            statistical_detector: StatisticalAnomalyDetector::default(),
            ml_detector: MLAnomalyDetector::default(),
            health_monitor: SystemHealthMonitor::default(),
            recovery_manager: AutomaticRecoveryManager::default(),
        }
    }

    /// Detect anomalies in current metrics
    pub fn detect_anomalies(
        &mut self,
        metrics: &PerformanceMetrics,
    ) -> IntegrateResult<AnomalyAnalysisResult> {
        let mut anomalies = Vec::new();

        // Simple threshold-based anomaly detection
        if metrics.cpu_utilization > 95.0 {
            anomalies.push(PerformanceAnomaly {
                anomaly_type: AnomalyType::ResourceSpike,
                severity: AnomalySeverity::High,
                detected_at: Instant::now(),
                affected_metrics: vec!["cpu_utilization".to_string()],
            });
        }

        if metrics.throughput < 10.0 {
            anomalies.push(PerformanceAnomaly {
                anomaly_type: AnomalyType::PerformanceDegradation,
                severity: AnomalySeverity::Medium,
                detected_at: Instant::now(),
                affected_metrics: vec!["throughput".to_string()],
            });
        }

        let analysis = if anomalies.is_empty() {
            AnomalyAnalysis::normal()
        } else {
            AnomalyAnalysis::anomalous(anomalies.len())
        };

        Ok(AnomalyAnalysisResult {
            anomalies_detected: anomalies,
            analysis,
            recovery_plan: None,
            recovery_executed: false,
        })
    }

    /// Execute recovery plan for detected anomalies
    pub fn execute_recovery(&mut self, anomalies: &[PerformanceAnomaly]) -> IntegrateResult<bool> {
        // Implementation would go here
        Ok(true)
    }
}

impl Default for PerformanceAnomalyDetector {
    fn default() -> Self {
        Self::new()
    }
}
