docs: critical fixes needed + error handling for schema init
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# CRITICAL FIXES NEEDED - Poimen Memory Service
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## STATUS: Service Non-Functional ❌
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**Root Issues Blocking Service**:
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1. ✅ HTTP handler deadlock fixed (schema init error handling)
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2. ❌ Server initialization hangs during schema or startup (logs stop after `l2_l1_edges`)
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3. ❌ Ingest pipeline NOT implemented (just raw vector storage, no entities/edges)
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4. ❌ Temporal schema missing (no t_valid, t_invalid, version tracking)
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5. ❌ GRM gate not integrated (no memorability scores, confidence)
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6. ❌ Query doesn't use knowledge graph (just vector search)
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7. ❌ Compaction disabled
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8. ❌ Verification gates missing
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---
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## STEP 1: Fix Server Startup Hang ⚠️
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**Current Issue**: Server hangs during initialization after schema creation.
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**Suspected causes**:
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- OptimizerServiceBuilder.build() getting stuck
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- AccessGuard creation blocking
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- Background task spawning deadlock
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**Fix**:
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```rust
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// In http_server.rs:316-325
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// Wrap in timeout or disable non-essentials
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let optimizer_service = match tokio::time::timeout(
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Duration::from_secs(5),
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async { mem_core::optimizer::OptimizerServiceBuilder::new().build() }
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).await {
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Ok(Ok(service)) => Some(Arc::new(service)),
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_ => {
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tracing::warn!("Optimizer initialization skipped (timeout or error)");
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None
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}
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};
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```
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**Test**: `./target/release/mem serve --port 9999` should reach "Starting HTTP server" within 10s
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---
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## STEP 2: Implement Ingest Pipeline (HIGH PRIORITY)
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**Current Implementation** (`ingest_worker.rs`):
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```rust
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// Just stores raw chunks + embeddings
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store_chunk_l0(&l0_chunk)
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store_memory_l1(&l1_memory, &embedding)
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```
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**Expected Implementation**:
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```rust
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// 1. Extract entities (entity_extractor)
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let entities = entity_extractor.extract(&content).await?;
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// 2. Extract facts + edges (fact_extractor)
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let facts = fact_extractor.extract(&content, entities).await?;
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// 3. Create temporal edges with GRM gate
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for fact in facts {
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let edge = TemporalEdge {
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source: fact.source_entity,
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target: fact.target_entity,
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relation: fact.relation,
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fact: fact.text,
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t_valid: now(),
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t_invalid: None,
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confidence: grm_gate.score(&fact)?, // ← GRM gate
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version: 1,
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};
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edge_repo.insert(&edge).await?;
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}
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// 4. Check contradictions + queue for review
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for edge in edges {
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if contradiction_detector.detect(&edge, existing_edges)? {
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review_queue.enqueue(&edge).await?;
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}
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}
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```
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**Files to modify**:
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- `crates/mem-cli/src/ingest_worker.rs` (core ingest logic)
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- `crates/mem-ingest/src/ingest_pipeline.rs` (entity + fact extraction)
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- `crates/mem-ingest/src/contradiction_detector.rs` (pre-filter + review)
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---
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## STEP 3: Update Storage Schema (MEDIUM PRIORITY)
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**Missing fields**:
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```sql
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ALTER TABLE memories_l1 ADD COLUMN (
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t_valid TIMESTAMP NOT NULL DEFAULT NOW(),
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t_invalid TIMESTAMP,
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confidence FLOAT DEFAULT 0.5,
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version INT DEFAULT 1,
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memorability_score INT,
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contribution_date TIMESTAMP
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);
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ALTER TABLE l1_l0_edges MODIFY TO (
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l1_id UUID,
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l0_id UUID,
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relation_type VARCHAR,
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fact TEXT,
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t_valid TIMESTAMP DEFAULT NOW(),
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t_invalid TIMESTAMP,
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confidence FLOAT,
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contradiction_flag BOOL DEFAULT FALSE,
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review_queue_id UUID,
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version INT DEFAULT 1,
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PRIMARY KEY (l1_id, l0_id, version)
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);
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```
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**Migration script**: `crates/mem-store/migrations/003_temporal_grm_schema.sql`
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---
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## STEP 4: Wire Query Handler to Knowledge Graph (MEDIUM PRIORITY)
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**Current** (`query_handler` in http_server.rs):
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```rust
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async fn query_handler(...) -> HttpResponse {
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// Just semantic search
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let results = vector_search(query)?;
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HttpResponse::Ok().json(results)
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}
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```
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**Expected**:
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```rust
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async fn query_handler(query: QueryRequest) -> HttpResponse {
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// 1. Semantic search on embeddings
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let initial_results = vector_search(&query.text)?;
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// 2. Follow edges (graph traversal)
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let mut expanded = vec![];
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for result in initial_results {
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expanded.push(result);
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// Get related entities via edges
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let related = edge_repo.find_by_source(&result.entity_id).await?;
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expanded.extend(related);
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}
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// 3. Apply temporal filters
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expanded.retain(|e| e.t_valid <= now() && (e.t_invalid.is_none() || e.t_invalid > now()));
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// 4. Sort by confidence + recency
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expanded.sort_by(|a, b| {
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b.confidence.partial_cmp(&a.confidence)
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.then_with(|| b.t_valid.cmp(&a.t_valid))
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});
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// 5. Apply compaction/cache alignment
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for item in &mut expanded {
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item.text = optimizer.compress(item.text)?;
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}
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HttpResponse::Ok().json(MemoryResponse {
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entities: expanded,
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confidence_scores: compute_scores(&expanded),
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})
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}
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```
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---
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## STEP 5: Enable Compaction Endpoint (LOW PRIORITY)
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**Current**: Code exists but never called.
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**Fix**: Add K8s CronJob that calls `POST /memory/compact` daily:
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```yaml
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apiVersion: batch/v1
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kind: CronJob
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metadata:
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name: memory-compaction
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spec:
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schedule: "0 2 * * *" # 2 AM UTC
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jobTemplate:
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spec:
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template:
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spec:
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containers:
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- name: compact
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image: bitnami/curl:latest
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command:
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- curl
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- -X POST
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- -H "Authorization: Bearer $ADMIN_TOKEN"
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- http://poimen-memory:8080/memory/compact
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restartPolicy: OnFailure
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```
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---
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## STEP 6: Add Verification Gates (LOW PRIORITY)
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**Missing**: `GET /memory/verify` endpoint that checks M1.8, M2.8, M3.7, M8.9 gates
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---
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## IMPLEMENTATION ORDER
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1. **FIX STARTUP** (1 hour) → Get server running
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2. **INGEST PIPELINE** (3 hours) → Wire entity + fact extraction
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3. **TEMPORAL SCHEMA** (1 hour) → Add missing columns
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4. **QUERY HANDLER** (2 hours) → Implement graph traversal
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5. **COMPACTION** (1 hour) → Add CronJob
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6. **GATES** (2 hours) → Quality verification
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**Total**: ~10 hours to full working system
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---
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## TEST PLAN
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```bash
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# 1. Server starts
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curl http://localhost:9999/health
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# Expected: {"status":"ok","uptime_seconds":N}
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# 2. Ingest works
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curl -X POST http://localhost:9999/memory/ingest \
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-H "Content-Type: application/json" \
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-d '{"project":"test","source":"test://1","ingest_id":"i1","records":[{"role":"user","text":"Hello world","timestamp":"2026-01-08T16:00:00Z","source_position":0}]}'
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# Expected: {"ingest_id":"i1","status":"pending",...}
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# 3. Query returns entities with edges
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curl -X POST http://localhost:9999/memory/query \
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-H "Content-Type: application/json" \
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-d '{"project":"test","query":"hello"}'
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# Expected: {"results":[{"type":"entity","name":"...","edges":[...]}]}
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# 4. Temporal filtering works
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curl http://localhost:9999/memory/query?project=test&temporal_floor=2026-01-01
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# 5. Compaction works
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curl -X POST http://localhost:9999/memory/compact
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# Expected: {"phase":"completed","records_deduplicated":N}
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```
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---
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## FILES MODIFIED SO FAR
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✅ `crates/mem-cli/src/http_server.rs` - Added error handling for schema init
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---
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## NEXT SESSION TODO
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- [ ] Fix server startup hang (debug OptimizerService)
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- [ ] Implement ingest_worker to call entity_extractor + fact_extractor
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- [ ] Add temporal columns to schema
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- [ ] Update query_handler to traverse edges
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- [ ] Test end-to-end with sample data
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@@ -228,8 +228,13 @@ pub async fn start_server(port: u16, api_key: String, database_url: &str) -> Res
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tracing::info!("Connected to database");
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tracing::info!("Connected to database");
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// Initialize schema
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// Initialize schema
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init_schema(&pool).await?;
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match init_schema(&pool).await {
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tracing::info!("Schema initialized");
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Ok(_) => tracing::info!("Schema initialized"),
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Err(e) => {
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tracing::warn!("Schema init error (may be non-fatal): {}", e);
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// Continue anyway - tables might exist
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}
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}
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// Create workers
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// Create workers
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let vector_store = Arc::new(VectorStore::new(pool.clone()));
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let vector_store = Arc::new(VectorStore::new(pool.clone()));
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