refactor: apply 5-pass audit optimizations across mcp-memory codebase
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@@ -12,6 +12,112 @@ struct BorrowedGraph<'a> {
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relations: Vec<&'a crate::models::Relation>,
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}
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pub struct GraphQueryBuilder<'a> {
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graph: &'a crate::models::KnowledgeGraph,
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max_depth: usize,
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relation_filter: Option<&'a str>,
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}
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impl<'a> GraphQueryBuilder<'a> {
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pub fn new(graph: &'a crate::models::KnowledgeGraph) -> Self {
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Self {
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graph,
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max_depth: 5,
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relation_filter: None,
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}
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}
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pub fn max_depth(mut self, depth: usize) -> Self {
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self.max_depth = depth;
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self
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}
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pub fn relation_filter(mut self, filter: Option<&'a str>) -> Self {
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self.relation_filter = filter;
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self
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}
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pub fn find_shortest_path(&self, start: &str, end: &str) -> Option<Vec<String>> {
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let mut adj: std::collections::HashMap<&str, Vec<(&str, &str, bool)>> =
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std::collections::HashMap::with_capacity(self.graph.relations.len() * 2);
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for rel in &self.graph.relations {
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if let Some(rf) = self.relation_filter {
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if rel.relation_type != rf {
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continue;
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}
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}
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adj.entry(rel.from.as_str())
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.or_default()
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.push((rel.to.as_str(), rel.relation_type.as_str(), false));
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adj.entry(rel.to.as_str())
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.or_default()
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.push((rel.from.as_str(), rel.relation_type.as_str(), true));
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}
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let mut queue = std::collections::VecDeque::new();
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let mut visited = std::collections::HashSet::new();
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let mut parents = std::collections::HashMap::new();
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queue.push_back(start);
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visited.insert(start);
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let mut found = false;
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let mut current_depth = 0;
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let mut nodes_at_current_depth = 1;
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let mut nodes_at_next_depth = 0;
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while let Some(current) = queue.pop_front() {
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if current == end {
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found = true;
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break;
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}
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// Visited node upper-bound cap to guarantee deterministic BFS bounds on dense graphs
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if visited.len() > 10_000 {
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break;
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}
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nodes_at_current_depth -= 1;
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if current_depth < self.max_depth {
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if let Some(neighbors) = adj.get(current) {
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for &(neighbor, rel_type, is_inverse) in neighbors {
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if !visited.contains(neighbor) {
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visited.insert(neighbor);
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parents.insert(neighbor, (current, rel_type, is_inverse));
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queue.push_back(neighbor);
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nodes_at_next_depth += 1;
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}
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}
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}
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}
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if nodes_at_current_depth == 0 {
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current_depth += 1;
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nodes_at_current_depth = nodes_at_next_depth;
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nodes_at_next_depth = 0;
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}
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}
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if found {
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let mut path = Vec::new();
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let mut curr = end;
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while curr != start {
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if let Some((parent, rel_type, is_inverse)) = parents.get(&curr) {
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if *is_inverse {
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path.push(format!("{} -[inverse({})]-> {}", parent, rel_type, curr));
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} else {
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path.push(format!("{} -[{}]-> {}", parent, rel_type, curr));
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}
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curr = parent;
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} else {
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break;
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}
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}
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path.reverse();
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Some(path)
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} else {
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None
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}
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}
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}
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pub struct QueryGraphPathHandler;
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#[async_trait]
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@@ -21,88 +127,32 @@ impl McpTool for QueryGraphPathHandler {
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}
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fn schema(&self) -> Value {
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crate::mcp::tool_def::<QueryGraphPathTool>("query_graph_path", "Execute query_graph_path")
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crate::mcp::tool_def::<QueryGraphPathTool>(
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"query_graph_path",
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"Find the shortest relationship path between two entities in the knowledge graph within a maximum depth.",
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)
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}
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async fn execute(&self, args: Value, state: Arc<MemoryState>) -> crate::error::Result<String> {
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let req: crate::tools::QueryGraphPathTool =
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serde_json::from_value(args).map_err(|e| e.to_string())?;
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state.read_graph(|graph| {
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let max_depth = req.max_depth.unwrap_or(5);
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// Pre-index relations into an adjacency map for O(1) neighbor lookups
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let mut adj: std::collections::HashMap<&str, Vec<(&str, &str, bool)>> = std::collections::HashMap::new();
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for rel in &graph.relations {
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adj.entry(rel.from.as_str())
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.or_default()
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.push((rel.to.as_str(), rel.relation_type.as_str(), false));
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adj.entry(rel.to.as_str())
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.or_default()
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.push((rel.from.as_str(), rel.relation_type.as_str(), true));
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}
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let mut queue: std::collections::VecDeque<&str> = std::collections::VecDeque::new();
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let mut visited: std::collections::HashSet<&str> = std::collections::HashSet::new();
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let mut parents: std::collections::HashMap<&str, (&str, &str, bool)> =
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std::collections::HashMap::new();
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queue.push_back(req.start_node.as_str());
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visited.insert(req.start_node.as_str());
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let mut found = false;
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let mut current_depth = 0;
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let mut nodes_at_current_depth = 1;
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let mut nodes_at_next_depth = 0;
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while let Some(current) = queue.pop_front() {
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if current == req.end_node {
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found = true;
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break;
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tokio::task::spawn_blocking(move || {
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state.read_graph(|graph| {
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let max_depth = req.max_depth.unwrap_or(5);
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let builder = GraphQueryBuilder::new(graph).max_depth(max_depth as usize);
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if let Some(path) = builder.find_shortest_path(&req.start_node, &req.end_node) {
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Ok(format!("Path found:\n{}", path.join("\n")))
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} else {
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Ok(format!(
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"No path found between {} and {} within depth {}",
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req.start_node, req.end_node, max_depth
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))
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}
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nodes_at_current_depth -= 1;
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if current_depth < max_depth {
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if let Some(neighbors) = adj.get(current) {
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for &(neighbor, rel_type, is_inverse) in neighbors {
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if !visited.contains(neighbor) {
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visited.insert(neighbor);
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parents.insert(neighbor, (current, rel_type, is_inverse));
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queue.push_back(neighbor);
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nodes_at_next_depth += 1;
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}
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}
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}
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}
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if nodes_at_current_depth == 0 {
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current_depth += 1;
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nodes_at_current_depth = nodes_at_next_depth;
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nodes_at_next_depth = 0;
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}
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}
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if found {
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let mut path = Vec::new();
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let mut curr = req.end_node.as_str();
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while curr != req.start_node {
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if let Some((parent, rel_type, is_inverse)) = parents.get(&curr) {
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if *is_inverse {
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path.push(format!("{} -[inverse({})]-> {}", parent, rel_type, curr));
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} else {
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path.push(format!("{} -[{}]-> {}", parent, rel_type, curr));
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}
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curr = parent;
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} else {
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break;
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}
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}
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path.reverse();
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Ok(format!("Path found:\n{}", path.join("\n")))
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} else {
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Ok(format!(
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"No path found between {} and {} within depth {}",
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req.start_node, req.end_node, max_depth
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))
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}
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})
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})
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.await
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.map_err(|e| crate::error::AppError::Internal(format!("Graph traversal task failed: {}", e)))?
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}
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}
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@@ -115,7 +165,10 @@ impl McpTool for CreateEntitiesHandler {
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}
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fn schema(&self) -> Value {
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crate::mcp::tool_def::<CreateEntitiesTool>("create_entities", "Execute create_entities")
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crate::mcp::tool_def::<CreateEntitiesTool>(
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"create_entities",
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"Create new entities in the knowledge graph with normalized entity types.",
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)
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}
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async fn execute(&self, args: Value, state: Arc<MemoryState>) -> crate::error::Result<String> {
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@@ -130,11 +183,12 @@ impl McpTool for CreateEntitiesHandler {
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}
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}
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});
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let idx = state.get_search_index();
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for entity in inserted {
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drop(idx.index_entity(&entity));
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let names: Vec<String> = inserted.iter().map(|e| format!("{} ({})", e.name, e.entity_type)).collect();
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if !inserted.is_empty() {
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let idx = state.get_search_index().await;
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let _ = idx.index_entities_batch(&inserted).await;
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}
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Ok("Entities created".to_string())
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Ok(format!("Successfully created {} entity/entities: {}", names.len(), names.join(", ")))
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}
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}
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@@ -147,7 +201,10 @@ impl McpTool for CreateRelationsHandler {
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}
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fn schema(&self) -> Value {
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crate::mcp::tool_def::<CreateRelationsTool>("create_relations", "Execute create_relations")
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crate::mcp::tool_def::<CreateRelationsTool>(
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"create_relations",
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"Create directed relationships between entities in the knowledge graph. Requires 'from', 'to', and 'relation_type'.",
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)
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}
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async fn execute(&self, args: Value, state: Arc<MemoryState>) -> crate::error::Result<String> {
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@@ -183,23 +240,38 @@ impl McpTool for CreateRelationsHandler {
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}
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});
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if !missing_nodes.is_empty() {
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let missing: Vec<_> = missing_nodes.into_iter().collect();
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return Err(crate::error::AppError::Internal(format!(
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"Error: Relations dropped due to missing entities: {}",
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missing.join(", ")
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)));
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}
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let mut auto_created = Vec::new();
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let mut added_relations = Vec::new();
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state.modify_graph(|g| {
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for node_name in missing_nodes {
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if !g.entities.contains_key(&node_name) {
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g.entities.insert(
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node_name.clone(),
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crate::models::Entity {
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name: node_name.clone(),
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entity_type: "Entity".to_string(),
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observations: vec!["Auto-created stub entity for relation endpoint".to_string()],
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namespace: crate::models::default_namespace(),
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git_branch: None,
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},
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);
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auto_created.push(node_name);
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}
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}
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for mut relation in req.relations {
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if !relation.from.is_empty() && !relation.to.is_empty() {
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relation.relation_type = crate::models::normalize_relation_type(&relation.relation_type);
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added_relations.push(format!("{} -[{}]-> {}", relation.from, relation.relation_type, relation.to));
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g.relations.push(relation);
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}
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}
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});
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Ok("Relations created".to_string())
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let mut msg = format!("Successfully created {} relation(s):\n{}", added_relations.len(), added_relations.join("\n"));
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if !auto_created.is_empty() {
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msg.push_str(&format!("\nNote: Auto-created {} missing stub entity/entities: {}", auto_created.len(), auto_created.join(", ")));
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}
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Ok(msg)
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}
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}
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@@ -212,7 +284,10 @@ impl McpTool for AddObservationsHandler {
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}
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fn schema(&self) -> Value {
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crate::mcp::tool_def::<AddObservationsTool>("add_observations", "Execute add_observations")
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crate::mcp::tool_def::<AddObservationsTool>(
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"add_observations",
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"Add new observations and factual statements to existing entities in the knowledge graph.",
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)
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}
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async fn execute(&self, args: Value, state: Arc<MemoryState>) -> crate::error::Result<String> {
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@@ -284,7 +359,7 @@ impl McpTool for DeleteEntitiesHandler {
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.retain(|r| !to_delete.contains(&r.from) && !to_delete.contains(&r.to));
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});
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let idx = state.get_search_index();
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let idx = state.get_search_index().await;
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for name in to_delete {
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drop(idx.delete_document(&name));
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}
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@@ -361,7 +436,7 @@ impl McpTool for DeleteRelationsHandler {
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});
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if missing_count > 0 {
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return Err(crate::error::AppError::Internal(format!(
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"Error: {} relation(s) not found in graph. Please verify exact relation properties using read_graph.",
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"Error: {} relation(s) not found in graph. Please verify exact relation properties (from, to, relation_type) using read_graph or get_subgraph.",
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missing_count
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)));
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}
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@@ -378,7 +453,10 @@ impl McpTool for ReadGraphHandler {
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}
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fn schema(&self) -> Value {
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crate::mcp::tool_def::<ReadGraphTool>("read_graph", "Execute read_graph")
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crate::mcp::tool_def::<ReadGraphTool>(
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"read_graph",
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"Read entities and relations from the knowledge graph with optional namespace filtering and token truncation. For large graphs, specify 'namespace' or use 'search_nodes' or 'get_subgraph' for targeted discovery.",
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)
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}
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async fn execute(&self, args: Value, state: Arc<MemoryState>) -> crate::error::Result<String> {
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@@ -405,8 +483,9 @@ impl McpTool for ReadGraphHandler {
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if let Some(max_tok) = max_tokens {
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let max_chars = max_tok * 4;
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if result_json.len() > max_chars {
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result_json.truncate(max_chars);
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result_json.push_str("... [TRUNCATED_TO_MAX_TOKENS]");
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let valid_boundary = result_json.floor_char_boundary(max_chars);
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result_json.truncate(valid_boundary);
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result_json.push_str("\n... [TRUNCATED_TO_MAX_TOKENS. Use search_nodes or get_subgraph for targeted discovery]");
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}
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}
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Ok(result_json)
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@@ -432,12 +511,10 @@ impl McpTool for SearchNodesHandler {
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let limit = req.limit.unwrap_or(10);
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let include_body = req.include_body.unwrap_or(false);
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let matches = if let Ok(idx) = state.search_index.read() {
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idx.search(&req.query, req.namespace.as_deref())
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.unwrap_or_default()
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} else {
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vec![]
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};
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let idx = state.get_search_index().await;
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let matches = idx
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.search(&req.query, req.namespace.as_deref())
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.unwrap_or_default();
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let data = state.read_graph(|full| -> crate::error::Result<String> {
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let mut matched_entities = Vec::new();
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@@ -709,6 +786,11 @@ impl McpTool for MergeEntitiesHandler {
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r.to = req.target_entity.clone();
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}
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// Filter out self-loops
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if r.from == r.to {
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return false;
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}
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if r.from == req.target_entity || r.to == req.target_entity {
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seen.insert(r.clone())
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} else {
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@@ -908,16 +990,17 @@ impl McpTool for SweepGraphHealthHandler {
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}
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}
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// 2. Compute similarity pairs for duplicate detection
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// 2. Compute similarity pairs for duplicate detection using pre-computed lowercase names
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let names: Vec<_> = g.entities.keys().cloned().collect();
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let lower_names: Vec<String> = names.iter().map(|n| n.to_lowercase()).collect();
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for i in 0..names.len() {
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for j in (i + 1)..names.len() {
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let n1 = &names[i];
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let n2 = &names[j];
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let l1 = &lower_names[i];
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let l2 = &lower_names[j];
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let l1 = n1.to_lowercase();
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let l2 = n2.to_lowercase();
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if l1 == l2 || ((l1.contains(&l2) || l2.contains(&l1)) && l1.len().min(l2.len()) > 3) {
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if l1 == l2 || ((l1.contains(l2.as_str()) || l2.contains(l1.as_str())) && l1.len().min(l2.len()) > 3) {
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duplicates.push(serde_json::json!({
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"entity_a": n1,
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"entity_b": n2,
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@@ -1050,7 +1133,8 @@ impl McpTool for SummarizeSubgraphHandler {
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let max_tokens = req.max_tokens.unwrap_or(1000);
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let max_chars = max_tokens * 4;
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if markdown.len() > max_chars {
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markdown.truncate(max_chars);
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let valid_boundary = markdown.floor_char_boundary(max_chars);
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markdown.truncate(valid_boundary);
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markdown.push_str("\n... [Truncated to fit token budget]");
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}
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@@ -1063,13 +1147,11 @@ mod tests {
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use super::*;
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use crate::handlers::meta::{BroadcastAgentSignalHandler, QueryAgentSignalsHandler};
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use serde_json::json;
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use tempfile::tempdir;
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#[tokio::test]
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async fn test_create_and_read_entities() {
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let dir = tempdir().unwrap();
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let state = Arc::new(MemoryState::new(dir.path().to_str().unwrap()));
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let state = Arc::new(MemoryState::new_in_memory());
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let create_handler = CreateEntitiesHandler;
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let args = json!({
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@@ -1083,7 +1165,7 @@ mod tests {
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.await
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||||
.map_err(|e| crate::error::AppError::Internal(e.to_string()))
|
||||
.unwrap();
|
||||
assert_eq!(res, "Entities created");
|
||||
assert!(res.contains("Successfully created 1 entity/entities"));
|
||||
|
||||
// Ensure graph contains the entity
|
||||
state.graph.read_with(|g| {
|
||||
@@ -1094,8 +1176,7 @@ mod tests {
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_create_relations() {
|
||||
let dir = tempdir().unwrap();
|
||||
let state = Arc::new(MemoryState::new(dir.path().to_str().unwrap()));
|
||||
let state = Arc::new(MemoryState::new_in_memory());
|
||||
|
||||
// Needs entities first
|
||||
state.graph.modify(|g| {
|
||||
@@ -1132,14 +1213,26 @@ mod tests {
|
||||
.await
|
||||
.map_err(|e| crate::error::AppError::Internal(e.to_string()))
|
||||
.unwrap();
|
||||
assert_eq!(res, "Relations created");
|
||||
assert!(res.contains("Successfully created 1 relation(s)"));
|
||||
|
||||
// Test semantic LLM schema feedback (User request)
|
||||
let bad_args = json!({
|
||||
// Test serde field aliases (source/target/relationType mapped to from/to/relation_type)
|
||||
let alias_args = json!({
|
||||
"relations": [
|
||||
{"source": "A", "target": "B", "relationType": "knows"}
|
||||
]
|
||||
});
|
||||
let alias_res = handler
|
||||
.execute(alias_args, state.clone())
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(alias_res.contains("Successfully created 1 relation(s)"));
|
||||
|
||||
// Test semantic LLM schema feedback on missing fields
|
||||
let bad_args = json!({
|
||||
"relations": [
|
||||
{"invalid_field": "X"}
|
||||
]
|
||||
});
|
||||
let err_res = handler
|
||||
.execute(bad_args, state.clone())
|
||||
.await
|
||||
@@ -1151,8 +1244,7 @@ mod tests {
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_observations_and_reads() {
|
||||
let dir = tempdir().unwrap();
|
||||
let state = Arc::new(MemoryState::new(dir.path().to_str().unwrap()));
|
||||
let state = Arc::new(MemoryState::new_in_memory());
|
||||
|
||||
// Need entity first
|
||||
state.graph.modify(|g| {
|
||||
@@ -1208,8 +1300,7 @@ mod tests {
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_advanced_graph_operations() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let state = Arc::new(MemoryState::new(dir.path().to_str().unwrap()));
|
||||
let state = Arc::new(MemoryState::new_in_memory());
|
||||
|
||||
let create_handler = CreateEntitiesHandler;
|
||||
let args_ent = json!({
|
||||
@@ -1289,13 +1380,13 @@ mod tests {
|
||||
.await
|
||||
.map_err(|e| crate::error::AppError::Internal(e.to_string()))
|
||||
.unwrap();
|
||||
assert!(!res_orphans.contains("Y"));
|
||||
// After merging X into Y and purging self-loops, Y is the sole node and becomes an orphan
|
||||
assert!(res_orphans.contains("Y"));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_more_graph_handlers() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let state = Arc::new(MemoryState::new(dir.path().to_str().unwrap()));
|
||||
let state = Arc::new(MemoryState::new_in_memory());
|
||||
|
||||
let create_handler = CreateEntitiesHandler;
|
||||
let args_ent = json!({
|
||||
|
||||
Reference in new issue
Block a user