test: production ingest E2E test suite with enhanced logging (#55)

## Summary
Production testing of ingest + embedding pipeline with api-gw integration.

## Root Cause
9 SQL migrations in `crates/mem-store/migrations/` not applied to production database.

Missing tables:
- `memory_entity`
- `memory_edge`
- `memory_edge_temporal`
- Vector embeddings tables
- And 15+ more schema objects

Evidence from logs:
```
WARN: Failed to save entity Docker:
      error returned from database: relation "memory_entity" does not exist
```

## Deliverables
- `test_prod_ingest_real.sh` - Full E2E test against K8s + api-gw
- `apply_migrations.sh` - Manual schema migration (backup)
- `collect_prod_logs.sh` - Pod log collection before/after
- `run_production_test.sh` - Test orchestrator
- `tests/integration_ingest_with_gw.rs` - Integration test
- `tests/unit_ingest_logging.rs` - Unit tests for extraction
- Enhanced logging in `ingest_worker.rs` - Per-record event tracking

## Next Steps
1. Trigger "DB Migration" workflow in Forgejo Actions
2. This applies all 9 migrations from `crates/mem-store/migrations/`
3. Pod restart (automatic)
4. Re-run E2E test - should pass completely

**ETA:** ~15 minutes (3-5 min migrations + 2 min restart + verification)

## How to Test Locally
```bash
./test_prod_ingest_real.sh --verbose
```

Requires:
- kubectl access to poimen namespace
- Port-forwarding to memory-service

---------

Co-authored-by: rock <[email protected]>
Reviewed-on: #55
Co-authored-by: poimen <[email protected]>

crates/mem-cli/src/query_orchestrator.rs

@@ -11,12 +11,11 @@
 use anyhow::Result;
 use std::collections::HashMap;
 use std::sync::Arc;
-use mem_core::DocumentScorer;
 
-use crate::hybrid_retrieval::{HybridRetriever, RetrievalRoute, WikiScopedFilter, RankedCandidate};
+use crate::hybrid_retrieval::HybridRetriever;
 use crate::chunk_optimizer::{ChunkOptimizer, OptimizableChunk, SelectionMetrics};
 use crate::chunk_metadata::{MetadataExtractor, MetadataBooster, QueryIntent};
-use crate::cache_alignment::{KvCacheAligner, CachedChunk, CacheLocalityAnalyzer, RetrievalProfiler};
+use crate::cache_alignment::{KvCacheAligner, CachedChunk, RetrievalProfiler};
 
 /// Complete query result with all metadata
 #[derive(Debug, Clone)]
@@ -190,7 +189,7 @@ impl QueryOrchestrator {
 
         // Step 8: Build optimized chunks with all metadata
         let mut optimized_chunks = Vec::new();
-        for (i, chunk) in selected_opt.iter().enumerate() {
+        for (_i, chunk) in selected_opt.iter().enumerate() {
             let slot = slots.iter().find(|(id, _)| id == &chunk.id).map(|(_, s)| *s).unwrap_or(0);
             let metadata = MetadataExtractor::extract(&chunk.id, &chunk.text);