do_memory_mcp/server/tools/embeddings/
query.rs1use crate::server::MemoryMCPServer;
7use anyhow::Result;
8use serde_json::json;
9use std::sync::Arc;
10use tracing::debug;
11
12impl MemoryMCPServer {
13 pub async fn execute_query_semantic_memory(
23 &self,
24 input: crate::mcp::tools::embeddings::QuerySemanticMemoryInput,
25 ) -> Result<serde_json::Value> {
26 self.track_tool_usage("query_semantic_memory").await;
27
28 let request_id = format!(
30 "query_semantic_memory_{}",
31 std::time::SystemTime::now()
32 .duration_since(std::time::UNIX_EPOCH)
33 .unwrap_or_default()
34 .as_nanos()
35 );
36 self.monitoring
37 .start_request(request_id.clone(), "query_semantic_memory".to_string())
38 .await;
39
40 debug!(
41 "Semantic memory query: query='{}', limit={:?}",
42 input.query, input.limit
43 );
44
45 let tool = crate::mcp::tools::embeddings::EmbeddingTools::new(Arc::clone(&self.memory));
46
47 let result = tool.execute_query_semantic_memory(input).await;
48
49 self.monitoring
51 .end_request(&request_id, result.is_ok(), None)
52 .await;
53
54 let output = result?;
55
56 Ok(json!(output))
58 }
59}
60
61#[cfg(test)]
62mod tests {
63 use super::*;
64
65 #[test]
66 #[allow(clippy::manual_async_fn)]
67 fn test_query_semantic_memory_signature_compile() {
68 use crate::mcp::tools::embeddings::QuerySemanticMemoryInput;
70 fn method_signature(
71 _server: &MemoryMCPServer,
72 _input: QuerySemanticMemoryInput,
73 ) -> impl std::future::Future<Output = Result<serde_json::Value>> {
74 async { Ok(json!({})) }
75 }
76 let _ = method_signature; }
78}