landvex: Datafabrik + Vision + Infrastruktur för 50GB skalning

Datafabrik:
- Skördare: crawler, källvitlista, upphandlingsskördare
- Extraktor: LLM-baserad schemastyrd extraktion
- Upplösare: Entitetsupplösning och deduplicering
- Köer: Schemalagd / kunddriven / fält
- Agentorkestrering: 20+ parallella agenter

Vision:
- Identify-modell: ResNet50 + kontrastivt lärande
- Träningspipeline: NT-Xent loss
- Vektordatabas: FAISS för snabb sökning
- OCR-pipeline: Typskyltsläsning

Infrastruktur:
- Docker Compose production
- Terraform för AWS ECS
- Prometheus + Grafana monitorering
- Neo4j + FAISS + MinIO + Redis

projects/landvex/build.sh

@@ -10,6 +10,8 @@ DATA_DIR="${PWD}/10-data"
 DB_DIR="${PWD}/db"
 API_DIR="${PWD}/api"
 SCRIPT_DIR="${PWD}/scripts"
+DATAFABRIK_DIR="${PWD}/datafabrik"
+VISION_DIR="${PWD}/vision"
 
 # ─── Steg 1: Validera indata ───────────────────────────────
 echo ""
@@ -17,10 +19,11 @@ echo "▶ Steg 1: Validerar indata..."
 python3 "${SCRIPT_DIR}/export_csv.py"
 python3 "${DB_DIR}/load_to_neo4j.py"
 
-# ─── Steg 2: Bygg Docker-image ─────────────────────────────
+# ─── Steg 2: Bygg Docker-images ────────────────────────────
 echo ""
-echo "▶ Steg 2: Bygger API-container..."
+echo "▶ Steg 2: Bygger Docker-images..."
 docker compose build api
+docker compose -f docker-compose.prod.yml build datafabrik vision-trainer
 
 # ─── Steg 3: Starta tjänster ───────────────────────────────
 echo ""
@@ -42,6 +45,22 @@ echo "▶ Steg 5: Snabbtest av endpoints..."
 curl -s 'http://localhost:8081/v0/search?q=belysning' | python3 -m json.tool | grep '"antal"'
 curl -s 'http://localhost:8081/v0/objects/LVX-TRP-0102' | python3 -m json.tool | grep '"lvx_id"'
 
+# ─── Steg 6: Datafabrik (valfritt) ─────────────────────────
+if [ "${1:-}" == "--med-datafabrik" ]; then
+    echo ""
+    echo "▶ Steg 6: Startar Datafabrik..."
+    docker compose -f docker-compose.prod.yml up -d datafabrik
+    echo "  ✅ Datafabrik startad"
+fi
+
+# ─── Steg 7: Vision (valfritt) ─────────────────────────────
+if [ "${1:-}" == "--med-vision" ]; then
+    echo ""
+    echo "▶ Steg 7: Startar Vision-träning..."
+    docker compose -f docker-compose.prod.yml --profile training up -d vision-trainer
+    echo "  ✅ Vision-tränare startad"
+fi
+
 echo ""
 echo "═══════════════════════════════════════════════════════════"
 echo "  ✅ Landvex IOL är driftsatt!"
@@ -49,11 +68,13 @@ echo ""
 echo "  API:       http://localhost:8081"
 echo "  Health:    http://localhost:8081/health"
 echo "  Neo4j:     bolt://localhost:7687"
+echo "  Grafana:   http://localhost:3000"
+echo "  Prometheus: http://localhost:9090"
 echo ""
-echo "  Endpoints:"
-echo "    POST /v0/identify        — Bild → kandidater"
-echo "    GET  /v0/objects/{id}    — Hämta objekt"
-echo "    GET  /v0/search?q=...    — Fritextsök"
-echo "    GET  /v0/standards/{b}/objects — Standard → objekt"
-echo "    POST /v0/feedback        — Skapa bounty"
+echo "  Kommandon:"
+echo "    ./build.sh --med-datafabrik   # Inkludera datafabrik"
+echo "    ./build.sh --med-vision       # Inkludera vision-träning"
+echo ""
+echo "  Agentorkestrering:"
+echo "    python3 datafabrik/agent_orkestrering.py --tier 1"
 echo "═══════════════════════════════════════════════════════════"