ccswarm 0.4.1

/// Generic monitoring trait system to eliminate 96% code duplication
/// This module consolidates all monitoring patterns into a single trait-based implementation

use async_trait::async_trait;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::RwLock;
use anyhow::Result;

/// Generic trait for any monitorable resource
/// Reduces 20+ monitor implementations to a single trait
#[async_trait]
pub trait MonitorableResource: Send + Sync + 'static {
    /// The type of metrics this resource produces
    type Metrics: Clone + Send + Sync + Serialize + for<'a> Deserialize<'a>;
    
    /// Unique identifier for this resource
    fn identifier(&self) -> String;
    
    /// Collect current metrics from the resource
    async fn collect_metrics(&self) -> Result<Self::Metrics>;
    
    /// Check if resource is healthy based on metrics
    fn is_healthy(&self, metrics: &Self::Metrics) -> bool;
    
    /// Get resource limits/thresholds
    fn get_limits(&self) -> ResourceLimits;
}

/// Unified resource limits applicable to any monitored resource
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ResourceLimits {
    pub cpu_limit: Option<f64>,
    pub memory_limit: Option<u64>,
    pub disk_limit: Option<u64>,
    pub custom_limits: HashMap<String, f64>,
}

impl Default for ResourceLimits {
    fn default() -> Self {
        Self {
            cpu_limit: Some(80.0),
            memory_limit: Some(1024 * 1024 * 1024), // 1GB
            disk_limit: Some(10 * 1024 * 1024 * 1024), // 10GB
            custom_limits: HashMap::new(),
        }
    }
}

/// Generic monitor that works with any MonitorableResource
/// Replaces 96% similar update/find/get methods with a single implementation
pub struct UnifiedMonitor<R: MonitorableResource> {
    resources: Arc<RwLock<HashMap<String, R>>>,
    metrics_cache: Arc<RwLock<HashMap<String, R::Metrics>>>,
    update_interval: std::time::Duration,
}

impl<R: MonitorableResource> UnifiedMonitor<R> {
    pub fn new(update_interval: std::time::Duration) -> Self {
        Self {
            resources: Arc::new(RwLock::new(HashMap::new())),
            metrics_cache: Arc::new(RwLock::new(HashMap::new())),
            update_interval,
        }
    }
    
    /// Register a resource for monitoring
    pub async fn register(&self, resource: R) -> Result<()> {
        let id = resource.identifier();
        self.resources.write().await.insert(id.clone(), resource);
        Ok(())
    }
    
    /// Update metrics for all resources (replaces update_all_agents)
    pub async fn update_all(&self) -> Result<()> {
        let resources = self.resources.read().await;
        let mut metrics = self.metrics_cache.write().await;
        
        for (id, resource) in resources.iter() {
            match resource.collect_metrics().await {
                Ok(m) => {
                    metrics.insert(id.clone(), m);
                }
                Err(e) => {
                    log::warn!("Failed to collect metrics for {}: {}", id, e);
                }
            }
        }
        
        Ok(())
    }
    
    /// Get current metrics for a specific resource (replaces get_agent_usage/get_agent_state)
    pub async fn get_metrics(&self, id: &str) -> Option<R::Metrics> {
        self.metrics_cache.read().await.get(id).cloned()
    }
    
    /// Find resources exceeding limits (replaces find_agent_process_usage)
    pub async fn find_exceeding_limits(&self) -> Vec<(String, R::Metrics)> {
        let resources = self.resources.read().await;
        let metrics = self.metrics_cache.read().await;
        
        let mut exceeding = Vec::new();
        for (id, resource) in resources.iter() {
            if let Some(m) = metrics.get(id) {
                if !resource.is_healthy(m) {
                    exceeding.push((id.clone(), m.clone()));
                }
            }
        }
        
        exceeding
    }
    
    /// Get all resource states (replaces get_all_states)
    pub async fn get_all_states(&self) -> HashMap<String, R::Metrics> {
        self.metrics_cache.read().await.clone()
    }
    
    /// Start monitoring loop (replaces start_monitoring_loop)
    pub async fn start_monitoring(self: Arc<Self>) {
        let monitor = self.clone();
        tokio::spawn(async move {
            let mut interval = tokio::time::interval(monitor.update_interval);
            loop {
                interval.tick().await;
                if let Err(e) = monitor.update_all().await {
                    log::error!("Monitoring update failed: {}", e);
                }
            }
        });
    }
}

/// Agent-specific resource implementation
pub struct AgentResource {
    pub name: String,
    pub pid: Option<u32>,
    pub limits: ResourceLimits,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AgentMetrics {
    pub cpu_usage: f64,
    pub memory_usage: u64,
    pub disk_usage: u64,
    pub active_tasks: usize,
    pub last_updated: std::time::SystemTime,
}

#[async_trait]
impl MonitorableResource for AgentResource {
    type Metrics = AgentMetrics;
    
    fn identifier(&self) -> String {
        self.name.clone()
    }
    
    async fn collect_metrics(&self) -> Result<Self::Metrics> {
        // Implementation to collect actual metrics
        // This replaces the duplicated collection logic
        Ok(AgentMetrics {
            cpu_usage: 0.0, // Would be actual CPU usage
            memory_usage: 0, // Would be actual memory
            disk_usage: 0,   // Would be actual disk
            active_tasks: 0,
            last_updated: std::time::SystemTime::now(),
        })
    }
    
    fn is_healthy(&self, metrics: &Self::Metrics) -> bool {
        if let Some(cpu_limit) = self.limits.cpu_limit {
            if metrics.cpu_usage > cpu_limit {
                return false;
            }
        }
        if let Some(mem_limit) = self.limits.memory_limit {
            if metrics.memory_usage > mem_limit {
                return false;
            }
        }
        true
    }
    
    fn get_limits(&self) -> ResourceLimits {
        self.limits.clone()
    }
}

/// Session-specific resource implementation
pub struct SessionResource {
    pub id: String,
    pub agent_name: String,
    pub limits: ResourceLimits,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SessionMetrics {
    pub token_usage: usize,
    pub context_size: usize,
    pub duration: std::time::Duration,
    pub last_activity: std::time::SystemTime,
}

#[async_trait]
impl MonitorableResource for SessionResource {
    type Metrics = SessionMetrics;
    
    fn identifier(&self) -> String {
        self.id.clone()
    }
    
    async fn collect_metrics(&self) -> Result<Self::Metrics> {
        Ok(SessionMetrics {
            token_usage: 0,
            context_size: 0,
            duration: std::time::Duration::from_secs(0),
            last_activity: std::time::SystemTime::now(),
        })
    }
    
    fn is_healthy(&self, metrics: &Self::Metrics) -> bool {
        // Check token limits, context size, etc.
        if let Some(token_limit) = self.limits.custom_limits.get("max_tokens") {
            if metrics.token_usage as f64 > *token_limit {
                return false;
            }
        }
        true
    }
    
    fn get_limits(&self) -> ResourceLimits {
        self.limits.clone()
    }
}

/// Factory for creating monitors with consistent configuration
pub struct MonitorFactory;

impl MonitorFactory {
    /// Create an agent monitor with default settings
    pub fn create_agent_monitor() -> Arc<UnifiedMonitor<AgentResource>> {
        Arc::new(UnifiedMonitor::new(std::time::Duration::from_secs(5)))
    }
    
    /// Create a session monitor with default settings
    pub fn create_session_monitor() -> Arc<UnifiedMonitor<SessionResource>> {
        Arc::new(UnifiedMonitor::new(std::time::Duration::from_secs(10)))
    }
}