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https://github.com/ruvnet/RuView
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Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'
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//! Swarm agent implementation
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//!
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//! Core agent that handles communication, learning sync, and task execution.
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use crate::{
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intelligence::IntelligenceSync,
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memory::VectorMemory,
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protocol::{MessagePayload, MessageType, SwarmMessage},
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transport::{TransportConfig, TransportFactory, TransportHandle},
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Result, SwarmConfig, SwarmError,
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};
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use serde::{Deserialize, Serialize};
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use std::collections::HashMap;
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use std::sync::Arc;
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use tokio::sync::{mpsc, RwLock};
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use tokio::time::{interval, Duration};
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/// Agent roles in the swarm
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#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
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pub enum AgentRole {
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/// Coordinator manages the swarm
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Coordinator,
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/// Worker executes tasks
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Worker,
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/// Scout explores and gathers information
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Scout,
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/// Specialist has domain expertise
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Specialist,
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}
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impl Default for AgentRole {
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fn default() -> Self {
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AgentRole::Worker
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}
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}
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/// Peer agent info
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct PeerInfo {
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pub agent_id: String,
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pub role: AgentRole,
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pub capabilities: Vec<String>,
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pub last_seen: u64,
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pub connected: bool,
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}
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/// Swarm agent
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pub struct SwarmAgent {
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config: SwarmConfig,
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transport: Option<TransportHandle>,
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intelligence: Arc<IntelligenceSync>,
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memory: Arc<VectorMemory>,
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peers: Arc<RwLock<HashMap<String, PeerInfo>>>,
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message_tx: mpsc::Sender<SwarmMessage>,
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message_rx: Arc<RwLock<mpsc::Receiver<SwarmMessage>>>,
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running: Arc<RwLock<bool>>,
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}
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impl SwarmAgent {
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/// Create new swarm agent
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pub async fn new(config: SwarmConfig) -> Result<Self> {
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let intelligence = Arc::new(IntelligenceSync::new(&config.agent_id));
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let memory = Arc::new(VectorMemory::new(&config.agent_id, 10000));
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let (message_tx, message_rx) = mpsc::channel(1024);
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Ok(Self {
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config,
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transport: None,
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intelligence,
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memory,
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peers: Arc::new(RwLock::new(HashMap::new())),
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message_tx,
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message_rx: Arc::new(RwLock::new(message_rx)),
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running: Arc::new(RwLock::new(false)),
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})
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}
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/// Get agent ID
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pub fn id(&self) -> &str {
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&self.config.agent_id
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}
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/// Get agent role
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pub fn role(&self) -> AgentRole {
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self.config.agent_role
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}
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/// Connect to swarm
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pub async fn join_swarm(&mut self, coordinator_url: &str) -> Result<()> {
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tracing::info!("Joining swarm at {}", coordinator_url);
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// Create transport
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let transport_config = TransportConfig {
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transport_type: self.config.transport,
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..Default::default()
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};
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let transport = TransportFactory::create(&transport_config, Some(coordinator_url)).await?;
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self.transport = Some(transport);
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// Send join message
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let join_msg = SwarmMessage::join(
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&self.config.agent_id,
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&format!("{:?}", self.config.agent_role),
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vec!["learning".to_string(), "memory".to_string()],
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);
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self.send_message(join_msg).await?;
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*self.running.write().await = true;
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tracing::info!("Joined swarm successfully");
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Ok(())
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}
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/// Leave swarm gracefully
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pub async fn leave_swarm(&mut self) -> Result<()> {
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tracing::info!("Leaving swarm");
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*self.running.write().await = false;
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let leave_msg = SwarmMessage::leave(&self.config.agent_id);
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self.send_message(leave_msg).await?;
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self.transport = None;
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Ok(())
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}
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/// Send message to swarm
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pub async fn send_message(&self, msg: SwarmMessage) -> Result<()> {
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if let Some(ref transport) = self.transport {
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let bytes = msg.to_bytes().map_err(|e| SwarmError::Serialization(e.to_string()))?;
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transport.send(bytes).await?;
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}
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Ok(())
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}
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/// Broadcast message to all peers
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pub async fn broadcast(&self, msg: SwarmMessage) -> Result<()> {
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self.send_message(msg).await
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}
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/// Sync learning patterns with swarm
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pub async fn sync_patterns(&self) -> Result<()> {
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let state = self.intelligence.get_state();
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let msg = SwarmMessage::sync_patterns(&self.config.agent_id, state);
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self.broadcast(msg).await
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}
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/// Request patterns from specific peer
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pub async fn request_patterns_from(&self, peer_id: &str, since_version: u64) -> Result<()> {
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let msg = SwarmMessage::directed(
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MessageType::RequestPatterns,
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&self.config.agent_id,
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peer_id,
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MessagePayload::Request(crate::protocol::RequestPayload {
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since_version,
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max_entries: 1000,
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}),
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);
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self.send_message(msg).await
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}
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/// Update learning pattern locally
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pub async fn learn(&self, state: &str, action: &str, reward: f64) {
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self.intelligence.update_pattern(state, action, reward);
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}
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/// Get best action for state
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pub async fn get_best_action(&self, state: &str, actions: &[String]) -> Option<(String, f64)> {
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self.intelligence.get_best_action(state, actions)
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}
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/// Store vector in shared memory
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pub async fn store_memory(&self, content: &str, embedding: Vec<f32>) -> Result<String> {
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self.memory.store(content, embedding)
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}
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/// Search vector memory
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pub async fn search_memory(&self, query: &[f32], top_k: usize) -> Vec<(String, f32)> {
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self.memory
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.search(query, top_k)
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.into_iter()
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.map(|(entry, score)| (entry.content, score))
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.collect()
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}
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/// Get connected peers
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pub async fn get_peers(&self) -> Vec<PeerInfo> {
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self.peers.read().await.values().cloned().collect()
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}
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/// Get swarm statistics
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pub async fn get_stats(&self) -> AgentStats {
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let intelligence_stats = self.intelligence.get_swarm_stats();
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let memory_stats = self.memory.stats();
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let peers = self.peers.read().await;
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AgentStats {
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agent_id: self.config.agent_id.clone(),
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role: self.config.agent_role,
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connected_peers: peers.len(),
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total_patterns: intelligence_stats.total_patterns,
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total_memories: memory_stats.total_entries,
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avg_confidence: intelligence_stats.avg_confidence,
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is_running: *self.running.read().await,
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}
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}
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/// Start background sync loop
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pub async fn start_sync_loop(&self) {
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let intelligence = self.intelligence.clone();
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let config = self.config.clone();
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let running = self.running.clone();
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let message_tx = self.message_tx.clone();
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tokio::spawn(async move {
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let mut sync_interval = interval(Duration::from_millis(config.sync_interval_ms));
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while *running.read().await {
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sync_interval.tick().await;
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// Sync patterns periodically
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if config.enable_learning {
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let state = intelligence.get_state();
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let msg = SwarmMessage::sync_patterns(&config.agent_id, state);
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let _ = message_tx.send(msg).await;
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}
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}
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});
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}
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/// Handle incoming message
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pub async fn handle_message(&self, msg: SwarmMessage) -> Result<()> {
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match msg.message_type {
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MessageType::Join => {
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if let MessagePayload::Join(payload) = msg.payload {
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let sender_id = msg.sender_id.clone();
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let peer = PeerInfo {
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agent_id: sender_id.clone(),
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role: match payload.agent_role.as_str() {
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"Coordinator" => AgentRole::Coordinator,
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"Scout" => AgentRole::Scout,
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"Specialist" => AgentRole::Specialist,
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_ => AgentRole::Worker,
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},
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capabilities: payload.capabilities,
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last_seen: chrono::Utc::now().timestamp_millis() as u64,
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connected: true,
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};
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self.peers.write().await.insert(sender_id, peer);
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}
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}
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MessageType::Leave => {
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self.peers.write().await.remove(&msg.sender_id);
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}
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MessageType::Ping => {
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let pong = SwarmMessage::pong(&self.config.agent_id);
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self.send_message(pong).await?;
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}
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MessageType::SyncPatterns => {
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if let MessagePayload::Patterns(payload) = msg.payload {
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self.intelligence
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.merge_peer_state(&msg.sender_id, &serde_json::to_vec(&payload.state).unwrap())?;
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}
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}
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MessageType::RequestPatterns => {
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if let MessagePayload::Request(payload) = msg.payload {
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let delta = self.intelligence.get_delta(payload.since_version);
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let response = SwarmMessage::sync_patterns(&self.config.agent_id, delta);
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self.send_message(response).await?;
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}
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}
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_ => {}
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}
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// Update peer last_seen
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if let Some(peer) = self.peers.write().await.get_mut(&msg.sender_id) {
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peer.last_seen = chrono::Utc::now().timestamp_millis() as u64;
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}
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Ok(())
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}
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}
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/// Agent statistics
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct AgentStats {
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pub agent_id: String,
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pub role: AgentRole,
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pub connected_peers: usize,
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pub total_patterns: usize,
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pub total_memories: usize,
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pub avg_confidence: f64,
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pub is_running: bool,
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use crate::Transport;
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#[tokio::test]
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async fn test_agent_creation() {
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let config = SwarmConfig::default()
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.with_agent_id("test-agent")
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.with_transport(Transport::SharedMemory);
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let agent = SwarmAgent::new(config).await.unwrap();
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assert_eq!(agent.id(), "test-agent");
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assert!(matches!(agent.role(), AgentRole::Worker));
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}
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#[tokio::test]
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async fn test_agent_learning() {
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let config = SwarmConfig::default().with_agent_id("learning-agent");
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let agent = SwarmAgent::new(config).await.unwrap();
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agent.learn("edit_ts", "coder", 0.8).await;
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agent.learn("edit_ts", "reviewer", 0.6).await;
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let actions = vec!["coder".to_string(), "reviewer".to_string()];
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let best = agent.get_best_action("edit_ts", &actions).await;
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assert!(best.is_some());
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assert_eq!(best.unwrap().0, "coder");
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}
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}
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