keys_to_replay_items() -> memory.rs

src/agent/tools/memory.rs

@@ -7,7 +7,9 @@ use std::sync::Arc;
 use anyhow::{Context, Result};
 use std::sync::OnceLock;
 
+use crate::graph::Graph;
 use crate::hippocampus::memory::MemoryNode;
+use crate::neuro::{consolidation_priority, ReplayItem};
 use crate::store::Store;
 
 // ── Store handle ───────────────────────────────────────────────
@@ -444,6 +446,31 @@ async fn supersede(agent: &Option<std::sync::Arc<crate::agent::Agent>>, args: &s
     Ok(format!("superseded {} → {} ({})", old_key, new_key, reason))
 }
 
+/// Convert a list of keys to ReplayItems with priority and graph metrics.
+pub fn keys_to_replay_items(
+    store: &Store,
+    keys: &[String],
+    graph: &Graph,
+) -> Vec<ReplayItem> {
+    keys.iter()
+        .filter_map(|key| {
+            let node = store.nodes.get(key)?;
+            let priority = consolidation_priority(store, key, graph, None);
+            let cc = graph.clustering_coefficient(key);
+
+            Some(ReplayItem {
+                key: key.clone(),
+                priority,
+                interval_days: node.spaced_repetition_interval,
+                emotion: node.emotion,
+                cc,
+                classification: "unknown",
+                outlier_score: 0.0,
+            })
+        })
+        .collect()
+}
+
 async fn query(args: &serde_json::Value) -> Result<String> {
     let query_str = get_str(args, "query")?;
     let format = args.get("format").and_then(|v| v.as_str()).unwrap_or("compact");
@@ -457,7 +484,7 @@ async fn query(args: &serde_json::Value) -> Result<String> {
             let results = crate::query_parser::execute_query(&store, &graph, query_str)
                 .map_err(|e| anyhow::anyhow!("{}", e))?;
             let keys: Vec<String> = results.into_iter().map(|r| r.key).collect();
-            let items = crate::subconscious::defs::keys_to_replay_items(&store, &keys, &graph);
+            let items = keys_to_replay_items(&store, &keys, &graph);
             Ok(crate::subconscious::prompts::format_nodes_section(&store, &items, &graph))
         }
         _ => {

src/subconscious/defs.rs

@@ -15,7 +15,6 @@
 // The query selects what to operate on; placeholders pull in context.
 
 use crate::graph::Graph;
-use crate::neuro::{consolidation_priority, ReplayItem};
 use crate::store::Store;
 
 use serde::Deserialize;
@@ -665,28 +664,3 @@ pub fn run_agent(
 
     Ok(super::prompts::AgentBatch { steps: resolved_steps, node_keys: all_keys })
 }
-
-/// Convert a list of keys to ReplayItems with priority and graph metrics.
-pub fn keys_to_replay_items(
-    store: &Store,
-    keys: &[String],
-    graph: &Graph,
-) -> Vec<ReplayItem> {
-    keys.iter()
-        .filter_map(|key| {
-            let node = store.nodes.get(key)?;
-            let priority = consolidation_priority(store, key, graph, None);
-            let cc = graph.clustering_coefficient(key);
-
-            Some(ReplayItem {
-                key: key.clone(),
-                priority,
-                interval_days: node.spaced_repetition_interval,
-                emotion: node.emotion,
-                cc,
-                classification: "unknown",
-                outlier_score: 0.0,
-            })
-        })
-        .collect()
-}