chore: fix clippy warnings, add embedding/omni_patch, update telemetry, and ignore temp files

server/src/handlers/meta.rs

@@ -138,6 +138,8 @@ impl McpTool for LogErrorFixHandler {
 
     async fn execute(&self, args: Value, state: Arc<MemoryState>) -> Result<String, String> {
         let req: LogErrorFixTool = serde_json::from_value(args).map_err(|e| e.to_string())?;
+        let text_to_embed = format!("Signature: {}\nSolution: {}", req.signature, req.solution);
+        let embedding = crate::embedding::generate_embedding_async(text_to_embed).await.ok();
         state.error_fixes.modify(|fixes| {
             fixes.push(crate::models::ErrorFix {
                 signature: req.signature,
@@ -145,6 +147,7 @@ impl McpTool for LogErrorFixHandler {
                 timestamp: crate::handlers::utils::now_secs(),
                 git_commit: req.git_commit,
                 git_branch: req.git_branch,
+                embedding,
             })
         });
         Ok("Error fix logged".to_string())
@@ -294,6 +297,8 @@ impl McpTool for LogTechDebtHandler {
 
     async fn execute(&self, args: Value, state: Arc<MemoryState>) -> Result<String, String> {
         let req: LogTechDebtTool = serde_json::from_value(args).map_err(|e| e.to_string())?;
+        let text_to_embed = format!("Description: {}\nIdeal Solution: {}", req.description, req.ideal_solution);
+        let embedding = crate::embedding::generate_embedding_async(text_to_embed).await.ok();
         state.tech_debts.modify(|debts| {
             debts.push(crate::models::TechDebt {
                 id: uuid::Uuid::new_v4().to_string(),
@@ -304,6 +309,7 @@ impl McpTool for LogTechDebtHandler {
                 created_at: crate::handlers::utils::now_secs(),
                 git_commit: req.git_commit,
                 git_branch: req.git_branch,
+                embedding,
             })
         });
         Ok("Tech debt logged".to_string())
@@ -404,6 +410,8 @@ impl McpTool for OmniSearchHandler {
             }
         };
         println!("OMNI SEARCH MATCHES: {:?}", matches);
+        let q = req.query.clone();
+        let query_emb = crate::embedding::generate_embedding_async(q.clone()).await.unwrap_or_default();
 
         let kg_json = state.read_graph(|full| {
             let mut kg_entities = std::collections::HashMap::new();
@@ -466,20 +474,27 @@ impl McpTool for OmniSearchHandler {
         })?;
 
         let snippets_json = state.snippets.read_with(|all_snippets| {
-            let filtered: Vec<_> = all_snippets
-                .iter()
-                .filter(|s| matched_snippets.contains(s.name.as_str()))
-                .take(limit)
-                .map(|s| {
-                    if !include_body {
-                        let mut summary = s.clone();
-                        summary.code = "".to_string();
-                        summary
-                    } else {
-                        s.clone()
-                    }
-                })
-                .collect();
+            let mut scored: Vec<_> = all_snippets.iter().map(|s| {
+                let mut score = 0.0;
+                if matched_snippets.contains(s.name.as_str()) || contains_ignore_ascii_case(&s.name, &q) || contains_ignore_ascii_case(&s.description, &q) {
+                    score += 1.0;
+                }
+                if let Some(emb) = &s.embedding {
+                    score += crate::embedding::cosine_similarity(&query_emb, emb);
+                }
+                (s, score)
+            }).filter(|(_, score)| *score > 0.4).collect();
+            scored.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
+
+            let filtered: Vec<_> = scored.into_iter().take(limit).map(|(s, _)| {
+                if !include_body {
+                    let mut summary = s.clone();
+                    summary.code = "".to_string();
+                    summary
+                } else {
+                    s.clone()
+                }
+            }).collect();
             serde_json::to_value(&filtered).map_err(|e| e.to_string())
         })?;
 
@@ -505,25 +520,31 @@ impl McpTool for OmniSearchHandler {
 
         let q = req.query;
         let tech_debts_json = state.tech_debts.read_with(|debts| {
-            let filtered: Vec<_> = debts
-                .iter()
-                .filter(|d| {
-                    req.namespace.as_ref().is_none_or(|ns| d.namespace == *ns)
-                        && (contains_ignore_ascii_case(&d.description, &q)
-                            || contains_ignore_ascii_case(&d.ideal_solution, &q))
-                })
-                .take(limit)
-                .map(|d| {
-                    if !include_body {
-                        let mut summary = d.clone();
-                        summary.description = "".to_string();
-                        summary.ideal_solution = "".to_string();
-                        summary
-                    } else {
-                        d.clone()
-                    }
-                })
-                .collect();
+            let mut scored: Vec<_> = debts.iter().map(|d| {
+                if req.namespace.as_ref().is_some_and(|ns| d.namespace != *ns) {
+                    return (d, 0.0);
+                }
+                let mut score = 0.0;
+                if contains_ignore_ascii_case(&d.description, &q) || contains_ignore_ascii_case(&d.ideal_solution, &q) {
+                    score += 1.0;
+                }
+                if let Some(emb) = &d.embedding {
+                    score += crate::embedding::cosine_similarity(&query_emb, emb);
+                }
+                (d, score)
+            }).filter(|(_, score)| *score > 0.4).collect();
+            scored.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
+
+            let filtered: Vec<_> = scored.into_iter().take(limit).map(|(d, _)| {
+                if !include_body {
+                    let mut summary = d.clone();
+                    summary.description = "".to_string();
+                    summary.ideal_solution = "".to_string();
+                    summary
+                } else {
+                    d.clone()
+                }
+            }).collect();
             serde_json::to_value(&filtered).map_err(|e| e.to_string())
         })?;
 
@@ -549,13 +570,19 @@ impl McpTool for OmniSearchHandler {
         })?;
 
         let error_fixes_json = state.error_fixes.read_with(|fixes| {
-            let filtered: Vec<_> = fixes
-                .iter()
-                .filter(|f| {
-                    contains_ignore_ascii_case(&f.signature, &q)
-                        || contains_ignore_ascii_case(&f.solution, &q)
-                })
-                .collect();
+            let mut scored: Vec<_> = fixes.iter().map(|f| {
+                let mut score = 0.0;
+                if contains_ignore_ascii_case(&f.signature, &q) || contains_ignore_ascii_case(&f.solution, &q) {
+                    score += 1.0;
+                }
+                if let Some(emb) = &f.embedding {
+                    score += crate::embedding::cosine_similarity(&query_emb, emb);
+                }
+                (f, score)
+            }).filter(|(_, score)| *score > 0.4).collect();
+            scored.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
+            
+            let filtered: Vec<_> = scored.into_iter().take(limit).map(|(f, _)| f.clone()).collect();
             serde_json::to_value(&filtered).map_err(|e| e.to_string())
         })?;
 
@@ -800,6 +827,7 @@ mod tests {
             updated_at: 0,
             git_branch: None,
             parent_id: None,
+            expires_at: None,
             dependencies: vec![],
             acceptance_criteria: vec![],
         };