kill cmd_graph, cmd_organize

src/cli/admin.rs

@@ -1,6 +1,7 @@
 // cli/admin.rs — admin subcommand handlers
 
 use crate::store;
+
 fn install_default_file(data_dir: &std::path::Path, name: &str, content: &str) -> Result<(), String> {
     let path = data_dir.join(name);
     if !path.exists() {
@@ -11,7 +12,6 @@ fn install_default_file(data_dir: &std::path::Path, name: &str, content: &str) -
     Ok(())
 }
 
-
 pub fn cmd_init() -> Result<(), String> {
     let cfg = crate::config::get();
 

src/cli/graph.rs

@@ -4,19 +4,7 @@
 // link, link-add, link-impact, link-audit, cap-degree,
 // normalize-strengths, trace, spectral-*, organize, communities.
 
-use crate::{store, graph};
+use crate::store;
-use crate::store::StoreView;
-
-pub fn cmd_graph() -> Result<(), String> {
-    let store = store::Store::load()?;
-    let g = store.build_graph();
-    println!("Graph: {} nodes, {} edges, {} communities",
-        g.nodes().len(), g.edge_count(), g.community_count());
-    println!("σ={:.2}  α={:.2}  gini={:.3}  cc={:.4}",
-        g.small_world_sigma(), g.degree_power_law_exponent(),
-        g.degree_gini(), g.avg_clustering_coefficient());
-    Ok(())
-}
 
 pub fn cmd_cap_degree(max_deg: usize) -> Result<(), String> {
     let mut store = store::Store::load()?;
@@ -91,111 +79,6 @@ pub fn cmd_trace(key: &[String]) -> Result<(), String> {
     Ok(())
 }
 
-pub fn cmd_organize(term: &str, key_only: bool, create_anchor: bool) -> Result<(), String> {
-    let mut store = store::Store::load()?;
-
-    // Step 1: find all non-deleted nodes matching the term
-    let term_lower = term.to_lowercase();
-    let mut topic_nodes: Vec<(String, String)> = Vec::new(); // (key, content)
-
-    let skip_prefixes = ["_", "deep-index#", "facts-", "irc-history#"];
-
-    for (key, node) in &store.nodes {
-        if node.deleted { continue; }
-        // Skip episodic/digest nodes — use NodeType, not key prefix
-        if node.node_type != crate::store::NodeType::Semantic { continue; }
-        let key_matches = key.to_lowercase().contains(&term_lower);
-        let content_matches = !key_only && node.content.to_lowercase().contains(&term_lower);
-        if !key_matches && !content_matches { continue; }
-        if skip_prefixes.iter().any(|p| key.starts_with(p)) { continue; }
-        topic_nodes.push((key.clone(), node.content.clone()));
-    }
-
-    if topic_nodes.is_empty() {
-        println!("No topic nodes found matching '{}'", term);
-        return Ok(());
-    }
-
-    topic_nodes.sort_by(|a, b| a.0.cmp(&b.0));
-
-    println!("=== Organize: '{}' ===", term);
-    println!("Found {} topic nodes:\n", topic_nodes.len());
-    for (key, content) in &topic_nodes {
-        let lines = content.lines().count();
-        let words = content.split_whitespace().count();
-        println!("  {:60} {:>4} lines  {:>5} words", key, lines, words);
-    }
-
-    // Step 2: check connectivity within cluster
-    let g = store.build_graph();
-    println!("=== Connectivity ===\n");
-
-    // Pick hub by intra-cluster connectivity, not overall degree
-    let cluster_keys: std::collections::HashSet<&str> = topic_nodes.iter()
-        .filter(|(k,_)| store.nodes.contains_key(k.as_str()))
-        .map(|(k,_)| k.as_str())
-        .collect();
-
-    let mut best_hub: Option<(&str, usize)> = None;
-    for key in &cluster_keys {
-        let intra_degree = g.neighbor_keys(key).iter()
-            .filter(|n| cluster_keys.contains(*n))
-            .count();
-        if best_hub.is_none() || intra_degree > best_hub.unwrap().1 {
-            best_hub = Some((key, intra_degree));
-        }
-    }
-
-    if let Some((hub, deg)) = best_hub {
-        println!("  Hub: {} (degree {})", hub, deg);
-        let hub_nbrs = g.neighbor_keys(hub);
-
-        let mut unlinked = Vec::new();
-        for (key, _) in &topic_nodes {
-            if key == hub { continue; }
-            if store.nodes.get(key.as_str()).is_none() { continue; }
-            if !hub_nbrs.contains(key.as_str()) {
-                unlinked.push(key.clone());
-            }
-        }
-
-        if unlinked.is_empty() {
-            println!("  All cluster nodes connected to hub ✓");
-        } else {
-            println!("  NOT linked to hub:");
-            for key in &unlinked {
-                println!("    {} → needs link to {}", key, hub);
-            }
-        }
-    }
-
-    // Step 4: anchor node
-    if create_anchor {
-        println!("\n=== Anchor node ===\n");
-        if store.nodes.contains_key(term) && !store.nodes[term].deleted {
-            println!("  Anchor '{}' already exists ✓", term);
-        } else {
-            let desc = format!("Anchor node for '{}' search term", term);
-            store.upsert(term, &desc)?;
-            let anchor_uuid = store.nodes.get(term).unwrap().uuid;
-            for (key, _) in &topic_nodes {
-                if store.nodes.get(key.as_str()).is_none() { continue; }
-                let target_uuid = store.nodes[key.as_str()].uuid;
-                let rel = store::new_relation(
-                    anchor_uuid, target_uuid,
-                    store::RelationType::Link, 0.8,
-                    term, key,
-                );
-                store.add_relation(rel)?;
-            }
-            println!("  Created anchor '{}' with {} links", term, topic_nodes.len());
-        }
-    }
-
-    store.save()?;
-    Ok(())
-}
-
 /// Show communities sorted by isolation (most isolated first).
 /// Useful for finding poorly-integrated knowledge clusters that need
 /// organize agents aimed at them.
@@ -207,4 +90,3 @@ pub fn cmd_communities(top_n: usize, min_size: usize) -> Result<(), String> {
     print!("{}", result);
     Ok(())
 }
-

src/main.rs

@@ -270,22 +270,6 @@ enum GraphCmd {
         #[arg(long, default_value_t = 2)]
         min_size: usize,
     },
-    /// Show graph structure overview
-    Overview,
-    /// Diagnose duplicate/overlapping nodes for a topic cluster
-    Organize {
-        /// Search term (matches node keys; also content unless --key-only)
-        term: String,
-        /// Similarity threshold for pair reporting (default: 0.4)
-        #[arg(long, default_value_t = 0.4)]
-        threshold: f32,
-        /// Only match node keys, not content
-        #[arg(long)]
-        key_only: bool,
-        /// Create anchor node for the search term and link to cluster
-        #[arg(long)]
-        anchor: bool,
-    },
 }
 
 #[derive(Subcommand)]
@@ -480,9 +464,6 @@ impl Run for GraphCmd {
             Self::NormalizeStrengths { apply }   => cli::graph::cmd_normalize_strengths(apply),
             Self::Trace { key }                 => cli::graph::cmd_trace(&key),
             Self::Communities { top_n, min_size } => cli::graph::cmd_communities(top_n, min_size),
-            Self::Overview                      => cli::graph::cmd_graph(),
-            Self::Organize { term, key_only, anchor, .. }
-                => cli::graph::cmd_organize(&term, key_only, anchor),
         }
     }
 }