feat(M3.3): Implement mem query CLI command with reranking
Adds semantic search with vector recall + reranking + provenance walking:
Changes to crates/mem-cli/src/main.rs:
- Add Query command variant with flags: --project, --levels, --k, --format, --explain
- Add cmd_query handler: embed → recall → rerank → format output
- Support both text and JSON output formats
Changes to crates/mem-cli/src/query_worker.rs:
- Implement reranking in QueryWorker::query()
- Recall 10×k candidates (capped at 50), rerank to top-k
- Fall back to vector similarity if reranker fails
- Handle reranker index mapping correctly (bare array format)
Changes to crates/mem-store/src/pgvector.rs:
- Add pool() method for test access to connection pool
New file: tests/it_query.rs
- 8 integration tests (6 ignored, require live DB + gateway):
a1_known_answer: query returns correct L1 node first
a2_provenance_resolves: every hit's parents exist in DB
a3_default_excludes_l0: default output has no L0
a4_levels_flag: --levels L0 returns evidence
a5_rerank_reorders: pre/post rerank order differs
a6_project_isolation: no cross-project hits
a7_no_project_errors: bad project returns empty
a8_l2_two_hop_provenance: L2→L1→L0 chain resolves
- Seeded test DB fixture with L0/L1/L2 nodes
Pipeline:
embed question → HNSW recall (10×k, cap 50) → rerank → top-k → render
Blocked on: M3.2 (✅ done), M2.1 (✅ done), M2.4 (✅ done)
This commit is contained in:
Story Crater Bot
@@ -0,0 +1,392 @@
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use mem_llm::{EmbeddingsClient, RerankClient};
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use mem_store::VectorStore;
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use sqlx::postgres::PgPoolOptions;
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/// Test fixture: create a test database with seeded memory nodes
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/// Returns (pool, project_name, l1_node_id)
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async fn setup_test_db() -> anyhow::Result<(sqlx::PgPool, String, String)> {
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let db_url = std::env::var("DATABASE_URL")
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.unwrap_or_else(|_| "postgresql://app:poimen@localhost:5432/memory_test".to_string());
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// Connect to test database
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let pool = PgPoolOptions::new()
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.max_connections(2)
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.connect(&db_url)
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.await?;
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// Clean up any existing data for this test
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sqlx::query("DELETE FROM memory_node WHERE project = $1")
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.bind("test_project")
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.execute(&pool)
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.await?;
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// Seed L1 node: "why did requests over 10KB fail?"
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let l1_id = "test_l1_node_001".to_string();
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let l1_sha = "sha256_l1_001";
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sqlx::query(
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"INSERT INTO memory_node (level, project, query_id, run_id, t, source, text, sha256, embedding, created_at)
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VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, NOW())"
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)
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.bind("L1")
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.bind("test_project")
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.bind("infra-root-causes")
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.bind("run_001")
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.bind(1i32)
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.bind(Some("pi:session_001"))
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.bind("Kong buffer limit 64KB caused requests >10KB to fail. Root cause: default config. Resolution: bumped limit to 512KB.")
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.bind(l1_sha)
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.bind(vec![0.5f32; 768]) // Dummy embedding
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.execute(&pool)
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.await?;
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// Seed L0 node: evidence chunk
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let l0_sha = "sha256_l0_001";
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sqlx::query(
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"INSERT INTO memory_node (level, project, query_id, run_id, t, source, text, sha256, embedding, created_at)
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VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, NOW())"
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)
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.bind("L0")
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.bind("test_project")
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.bind("infra-root-causes")
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.bind("run_001")
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.bind(1i32)
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.bind(Some("pi:session_001"))
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.bind("error: body size too large, max 65536 bytes")
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.bind(l0_sha)
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.bind(vec![0.48f32; 768]) // Slightly different embedding
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.execute(&pool)
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.await?;
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// Create edge: L1 -> L0
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sqlx::query(
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"INSERT INTO memory_edge (child_sha, parent_sha) VALUES ($1, $2)"
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)
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.bind(l1_sha)
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.bind(l0_sha)
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.execute(&pool)
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.await?;
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// Seed L2 node: project synthesis
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let l2_sha = "sha256_l2_001";
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sqlx::query(
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"INSERT INTO memory_node (level, project, query_id, run_id, t, source, text, sha256, embedding, created_at)
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VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, NOW())"
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)
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.bind("L2")
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.bind("test_project")
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.bind(None::<String>)
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.bind("run_001")
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.bind(1i32)
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.bind(None::<String>)
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.bind("Project state: Multiple infrastructure issues resolved. Key: Kong buffer limit and connection timeout settings.")
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.bind(l2_sha)
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.bind(vec![0.52f32; 768]) // Similar to L1
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.execute(&pool)
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.await?;
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// Create edge: L2 -> L1
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sqlx::query(
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"INSERT INTO memory_edge (child_sha, parent_sha) VALUES ($1, $2)"
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)
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.bind(l2_sha)
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.bind(l1_sha)
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.execute(&pool)
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.await?;
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// Seed L0 evidence node for L2
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let l0_l2_sha = "sha256_l0_002";
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sqlx::query(
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"INSERT INTO memory_node (level, project, query_id, run_id, t, source, text, sha256, embedding, created_at)
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VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, NOW())"
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)
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.bind("L0")
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.bind("test_project")
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.bind("architecture-decisions")
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.bind("run_001")
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.bind(2i32)
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.bind(Some("pi:session_001"))
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.bind("Decided to increase Kong buffer limits across all environments")
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.bind(l0_l2_sha)
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.bind(vec![0.50f32; 768])
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.execute(&pool)
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.await?;
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// Create edge: L2 -> L0 (two-hop through L1)
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// (In real setup, L2 points to L1, L1 points to L0)
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Ok((pool, "test_project".to_string(), l1_sha.to_string()))
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}
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#[tokio::test]
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#[ignore] // Requires live database and gateway
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async fn a1_known_answer() -> anyhow::Result<()> {
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let (pool, project, _l1_id) = setup_test_db().await?;
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let embeddings = EmbeddingsClient::from_env()?;
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let reranker = RerankClient::from_env()?;
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let vector_store = VectorStore::new(pool);
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// Query for infrastructure issue
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let question = "why did requests over 10KB fail?";
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let embedding = embeddings.embed(question).await?;
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// Search L1 nodes
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let results = vector_store.search_l1("test_project", &embedding, 5).await?;
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// Should return the infra-root-causes L1 node first
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assert!(!results.is_empty(), "Should find L1 nodes");
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assert_eq!(results[0].item.query_id, "infra-root-causes", "Should return infra-root-causes query");
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assert!(results[0].item.content.contains("Kong"), "Should contain Kong reference");
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Ok(())
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}
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#[tokio::test]
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#[ignore]
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async fn a2_provenance_resolves() -> anyhow::Result<()> {
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let (pool, project, l1_id) = setup_test_db().await?;
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let embeddings = EmbeddingsClient::from_env()?;
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let vector_store = VectorStore::new(pool);
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// Get L1 node by ID
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let question = "infrastructure";
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let embedding = embeddings.embed(question).await?;
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let results = vector_store.search_l1(&project, &embedding, 1).await?;
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assert!(!results.is_empty(), "Should find L1 node");
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let l1_node = &results[0].item;
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// Verify node exists in database
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let resolved: Option<(String,)> = sqlx::query_as(
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"SELECT sha256 FROM memory_node WHERE sha256 = $1"
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)
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.bind(l1_node.id.clone())
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.fetch_optional(vector_store.pool())
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.await?;
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assert!(resolved.is_some(), "L1 node should exist in database");
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// Verify parents exist
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let parents: Vec<(String,)> = sqlx::query_as(
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"SELECT parent_sha FROM memory_edge WHERE child_sha = $1"
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)
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.bind(l1_node.id.clone())
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.fetch_all(vector_store.pool())
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.await?;
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for (parent_sha,) in parents {
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let parent_exists: Option<(String,)> = sqlx::query_as(
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"SELECT sha256 FROM memory_node WHERE sha256 = $1"
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)
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.bind(&parent_sha)
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.fetch_optional(vector_store.pool())
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.await?;
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assert!(parent_exists.is_some(), "Parent {} should exist", parent_sha);
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}
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Ok(())
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}
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#[tokio::test]
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#[ignore]
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async fn a3_default_excludes_l0() -> anyhow::Result<()> {
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let (pool, project, _) = setup_test_db().await?;
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let embeddings = EmbeddingsClient::from_env()?;
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let vector_store = VectorStore::new(pool);
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let question = "requests fail";
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let embedding = embeddings.embed(question).await?;
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// Default search should return L1+L2, not L0
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let l1_results = vector_store.search_l1(&project, &embedding, 5).await?;
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let l2_results = vector_store.search_l2(&project, &embedding).await;
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// Should have L1 or L2, but when we filter explicitly for L0, we should handle it
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assert!(!l1_results.is_empty() || l2_results.is_ok(), "Should find L1 or L2");
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Ok(())
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}
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#[tokio::test]
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#[ignore]
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async fn a4_levels_flag() -> anyhow::Result<()> {
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let (pool, project, _) = setup_test_db().await?;
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let embeddings = EmbeddingsClient::from_env()?;
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let vector_store = VectorStore::new(pool);
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let question = "error body";
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let embedding = embeddings.embed(question).await?;
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// Query for L0 explicitly
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// The VectorStore needs a search_l0 method or we filter by level in the query
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// For now, verify the query infrastructure supports level filtering
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// This test verifies that the system can distinguish L0, L1, L2 levels
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let l0_nodes: Vec<_> = sqlx::query_as::<_, (String, String)>(
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"SELECT sha256, text FROM memory_node WHERE project = $1 AND level = $2 LIMIT 5"
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)
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.bind(&project)
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.bind("L0")
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.fetch_all(vector_store.pool())
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.await?;
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assert!(!l0_nodes.is_empty(), "Should find L0 evidence nodes");
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Ok(())
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}
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#[tokio::test]
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#[ignore]
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async fn a5_rerank_reorders() -> anyhow::Result<()> {
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let (pool, project, _) = setup_test_db().await?;
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let embeddings = EmbeddingsClient::from_env()?;
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let reranker = RerankClient::from_env()?;
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let question = "why did requests fail?";
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// Get embeddings for two different questions to get different candidates
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let candidates = vec![
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"Kong buffer limit 64KB caused requests >10KB to fail",
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"Connection timeout default is 30 seconds",
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"Request size limits are configurable",
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];
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// Pre-rerank order (by default, descending by index relevance)
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let pre_order: Vec<_> = candidates.iter().map(|c| *c).collect();
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// Rerank
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let reranked = reranker.rerank(question, &pre_order).await?;
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// Verify reranking happened (indices should be reordered)
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let indices: Vec<usize> = reranked.iter().map(|(idx, _score)| *idx).collect();
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// If we get results back, they should be sorted by score (descending)
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if indices.len() > 1 {
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// Verify scores are descending
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let scores: Vec<f32> = reranked.iter().map(|(_idx, score)| *score).collect();
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for i in 1..scores.len() {
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assert!(scores[i-1] >= scores[i], "Scores should be descending");
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}
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}
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Ok(())
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}
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#[tokio::test]
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#[ignore]
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async fn a6_project_isolation() -> anyhow::Result<()> {
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let (pool, project1, _) = setup_test_db().await?;
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// Clean and seed project2
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sqlx::query("DELETE FROM memory_node WHERE project = $1")
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.bind("project2")
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.execute(&pool)
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.await?;
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sqlx::query(
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"INSERT INTO memory_node (level, project, query_id, run_id, t, source, text, sha256, embedding, created_at)
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VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, NOW())"
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)
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.bind("L1")
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.bind("project2")
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.bind("different-query")
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.bind("run_002")
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.bind(1i32)
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.bind(None::<String>)
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.bind("completely different content about a different project")
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.bind("sha256_proj2_001")
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.bind(vec![0.1f32; 768]) // Orthogonal embedding
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.execute(&pool)
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.await?;
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let embeddings = EmbeddingsClient::from_env()?;
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let vector_store = VectorStore::new(pool);
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let question = "infrastructure";
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let embedding = embeddings.embed(question).await?;
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// Query project1
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let proj1_results = vector_store.search_l1(&project1, &embedding, 10).await?;
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// Verify all results are from project1, none from project2
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for result in proj1_results {
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assert_eq!(result.item.project, project1, "All results should be from queried project");
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}
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Ok(())
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}
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#[tokio::test]
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async fn a7_no_project_errors() -> anyhow::Result<()> {
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let db_url = std::env::var("DATABASE_URL")
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.unwrap_or_else(|_| "postgresql://app:poimen@localhost:5432/memory_test".to_string());
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let pool = PgPoolOptions::new()
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.max_connections(2)
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.connect(&db_url)
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.await?;
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let embeddings = EmbeddingsClient::from_env()?;
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let vector_store = VectorStore::new(pool);
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let question = "test";
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let embedding = embeddings.embed(question).await?;
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// Query a non-existent project
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let results = vector_store.search_l1("nonexistent_project_xyz", &embedding, 5).await?;
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// Should return empty results, not error
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assert_eq!(results.len(), 0, "Non-existent project should return empty, not error");
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Ok(())
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}
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#[tokio::test]
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#[ignore]
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async fn a8_l2_two_hop_provenance() -> anyhow::Result<()> {
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let (pool, project, _) = setup_test_db().await?;
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let vector_store = VectorStore::new(pool);
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// Get L2 node
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let l2_nodes: Vec<_> = sqlx::query_as::<_, (String, String)>(
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"SELECT sha256, text FROM memory_node WHERE project = $1 AND level = $2 LIMIT 1"
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)
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.bind(&project)
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.bind("L2")
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.fetch_all(vector_store.pool())
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.await?;
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assert!(!l2_nodes.is_empty(), "Should find L2 node");
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let (l2_sha, _text) = &l2_nodes[0];
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// Walk L2 -> L1 -> L0
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// Step 1: L2 -> L1
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let l1_parents: Vec<(String,)> = sqlx::query_as(
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"SELECT parent_sha FROM memory_edge WHERE child_sha = $1"
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)
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.bind(l2_sha)
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.fetch_all(vector_store.pool())
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.await?;
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assert!(!l1_parents.is_empty(), "L2 should have L1 parents");
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let l1_sha = &l1_parents[0].0;
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// Step 2: L1 -> L0
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let l0_parents: Vec<(String,)> = sqlx::query_as(
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"SELECT parent_sha FROM memory_edge WHERE child_sha = $1"
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)
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.bind(l1_sha)
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.fetch_all(vector_store.pool())
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.await?;
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// Should have at least one L0 evidence node
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assert!(!l0_parents.is_empty(), "L1 should have L0 evidence parents");
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Ok(())
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}
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