Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'

vendor/ruvector/examples/ruvLLM/src/compression.rs

@@ -0,0 +1,158 @@
+//! Compression and abstraction for memory management
+
+use crate::error::Result;
+use crate::memory::MemoryService;
+use crate::types::{EdgeType, MemoryEdge, MemoryNode, NodeType};
+
+use std::collections::HashMap;
+use uuid::Uuid;
+
+/// Cluster of related nodes
+#[derive(Debug, Clone)]
+pub struct Cluster {
+    /// Node IDs in cluster
+    pub node_ids: Vec<String>,
+    /// Cluster centroid
+    pub centroid: Vec<f32>,
+    /// Internal density
+    pub density: f32,
+}
+
+/// Compression service for creating concept hierarchies
+pub struct CompressionService {
+    /// Minimum cluster size
+    min_cluster_size: usize,
+    /// Minimum edge density
+    min_edge_density: f32,
+    /// Summarization prompt template
+    summary_template: String,
+}
+
+impl CompressionService {
+    /// Create a new compression service
+    pub fn new(min_cluster_size: usize, min_edge_density: f32) -> Self {
+        Self {
+            min_cluster_size,
+            min_edge_density,
+            summary_template: "Summarize the following related concepts:\n\n{texts}".into(),
+        }
+    }
+
+    /// Detect clusters in the memory graph
+    pub async fn detect_clusters(&self, memory: &MemoryService) -> Result<Vec<Cluster>> {
+        // Simple clustering based on vector similarity
+        // In production, use proper clustering algorithm (HDBSCAN, etc.)
+
+        let clusters = Vec::new();
+        // TODO: Implement clustering
+        Ok(clusters)
+    }
+
+    /// Summarize a cluster into a concept node
+    pub fn summarize_cluster(&self, cluster: &Cluster, nodes: &[MemoryNode]) -> Result<MemoryNode> {
+        // Collect texts
+        let texts: Vec<&str> = nodes
+            .iter()
+            .filter(|n| cluster.node_ids.contains(&n.id))
+            .map(|n| n.text.as_str())
+            .collect();
+
+        // Create summary (mock - in production, use LFM2)
+        let summary = format!(
+            "Concept summarizing {} related items about: {}",
+            texts.len(),
+            texts.first().unwrap_or(&"various topics")
+        );
+
+        // Create concept node
+        let concept = MemoryNode {
+            id: Uuid::new_v4().to_string(),
+            vector: cluster.centroid.clone(),
+            text: summary,
+            node_type: NodeType::Concept,
+            source: "compression".into(),
+            metadata: {
+                let mut m = HashMap::new();
+                m.insert(
+                    "cluster_size".into(),
+                    serde_json::json!(cluster.node_ids.len()),
+                );
+                m.insert("density".into(), serde_json::json!(cluster.density));
+                m.insert("source_ids".into(), serde_json::json!(cluster.node_ids));
+                m
+            },
+        };
+
+        Ok(concept)
+    }
+
+    /// Create hierarchical edges from concept to members
+    pub fn create_hierarchy_edges(
+        &self,
+        concept_id: &str,
+        member_ids: &[String],
+    ) -> Vec<MemoryEdge> {
+        member_ids
+            .iter()
+            .map(|member_id| MemoryEdge {
+                id: Uuid::new_v4().to_string(),
+                src: concept_id.to_string(),
+                dst: member_id.clone(),
+                edge_type: EdgeType::Contains,
+                weight: 1.0,
+                metadata: HashMap::new(),
+            })
+            .collect()
+    }
+
+    /// Run full compression job
+    pub async fn run_compression(&self, memory: &MemoryService) -> Result<CompressionStats> {
+        let mut stats = CompressionStats::default();
+
+        // Detect clusters
+        let clusters = self.detect_clusters(memory).await?;
+        stats.clusters_found = clusters.len();
+
+        // For each cluster, create concept node
+        // (In production, would also archive old nodes)
+
+        Ok(stats)
+    }
+}
+
+/// Statistics from compression run
+#[derive(Debug, Default)]
+pub struct CompressionStats {
+    /// Number of clusters found
+    pub clusters_found: usize,
+    /// Number of concepts created
+    pub concepts_created: usize,
+    /// Number of nodes archived
+    pub nodes_archived: usize,
+    /// Memory saved in bytes
+    pub memory_saved: usize,
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_compression_service_creation() {
+        let service = CompressionService::new(5, 0.5);
+        assert_eq!(service.min_cluster_size, 5);
+    }
+
+    #[test]
+    fn test_hierarchy_edges() {
+        let service = CompressionService::new(5, 0.5);
+        let edges = service.create_hierarchy_edges(
+            "concept-1",
+            &["node-1".into(), "node-2".into(), "node-3".into()],
+        );
+
+        assert_eq!(edges.len(), 3);
+        assert!(edges.iter().all(|e| e.src == "concept-1"));
+        assert!(edges.iter().all(|e| e.edge_type == EdgeType::Contains));
+    }
+}