demo seed change 5

services/orchestrator/app/api/internal_demo.py

@@ -58,6 +58,107 @@ def verify_internal_api_key(x_internal_api_key: str = Header(...)):
     return True
 
 
+async def load_fixture_data_for_tenant(
+    db: AsyncSession,
+    tenant_uuid: UUID,
+    demo_account_type: str,
+    reference_time: datetime
+) -> int:
+    """
+    Load orchestration run data from JSON fixture directly into the virtual tenant.
+    Returns the number of runs created.
+    """
+    from shared.utils.seed_data_paths import get_seed_data_path
+    from shared.utils.demo_dates import resolve_time_marker, adjust_date_for_demo
+
+    # Load fixture data
+    try:
+        json_file = get_seed_data_path(demo_account_type, "11-orchestrator.json")
+    except ImportError:
+        # Fallback to original path
+        seed_data_dir = Path(__file__).parent.parent.parent.parent / "shared" / "demo" / "fixtures"
+        json_file = seed_data_dir / demo_account_type / "11-orchestrator.json"
+
+    if not json_file.exists():
+        logger.warning("Orchestrator fixture file not found", file=str(json_file))
+        return 0
+
+    with open(json_file, 'r', encoding='utf-8') as f:
+        fixture_data = json.load(f)
+
+    orchestration_run_data = fixture_data.get("orchestration_run")
+    if not orchestration_run_data:
+        logger.warning("No orchestration_run data in fixture")
+        return 0
+
+    # Parse and adjust dates from fixture to reference_time
+    base_started_at = resolve_time_marker(orchestration_run_data.get("started_at"))
+    base_completed_at = resolve_time_marker(orchestration_run_data.get("completed_at"))
+
+    # Adjust dates to make them appear recent relative to session creation
+    started_at = adjust_date_for_demo(base_started_at, reference_time) if base_started_at else reference_time - timedelta(hours=2)
+    completed_at = adjust_date_for_demo(base_completed_at, reference_time) if base_completed_at else started_at + timedelta(minutes=15)
+
+    # Generate unique run number with session context
+    current_year = reference_time.year
+    unique_suffix = str(uuid.uuid4())[:8].upper()
+    run_number = f"ORCH-DEMO-PROF-{current_year}-001-{unique_suffix}"
+
+    # Create orchestration run for virtual tenant
+    new_run = OrchestrationRun(
+        id=uuid.uuid4(),  # Generate new UUID
+        tenant_id=tenant_uuid,
+        run_number=run_number,
+        status=OrchestrationStatus[orchestration_run_data["status"]],
+        run_type=orchestration_run_data.get("run_type", "daily"),
+        priority="normal",
+        started_at=started_at,
+        completed_at=completed_at,
+        duration_seconds=orchestration_run_data.get("duration_seconds", 900),
+
+        # Step statuses from orchestration_results
+        forecasting_status="success",
+        forecasting_started_at=started_at,
+        forecasting_completed_at=started_at + timedelta(minutes=2),
+
+        production_status="success",
+        production_started_at=started_at + timedelta(minutes=2),
+        production_completed_at=started_at + timedelta(minutes=5),
+
+        procurement_status="success",
+        procurement_started_at=started_at + timedelta(minutes=5),
+        procurement_completed_at=started_at + timedelta(minutes=8),
+
+        notification_status="success",
+        notification_started_at=started_at + timedelta(minutes=8),
+        notification_completed_at=completed_at,
+
+        # Results from orchestration_results
+        forecasts_generated=fixture_data.get("orchestration_results", {}).get("forecasts_generated", 10),
+        production_batches_created=fixture_data.get("orchestration_results", {}).get("production_batches_created", 18),
+        procurement_plans_created=0,
+        purchase_orders_created=fixture_data.get("orchestration_results", {}).get("purchase_orders_created", 6),
+        notifications_sent=fixture_data.get("orchestration_results", {}).get("notifications_sent", 8),
+
+        # Metadata
+        triggered_by="system",
+        created_at=started_at,
+        updated_at=completed_at
+    )
+
+    db.add(new_run)
+    await db.flush()
+
+    logger.info(
+        "Loaded orchestration run from fixture",
+        tenant_id=str(tenant_uuid),
+        run_number=new_run.run_number,
+        started_at=started_at.isoformat()
+    )
+
+    return 1
+
+
 @router.post("/internal/demo/clone")
 async def clone_demo_data(
     base_tenant_id: str,
@@ -73,6 +174,8 @@ async def clone_demo_data(
 
     This endpoint is called by the demo_session service during session initialization.
     It clones orchestration runs with date adjustments to make them appear recent.
+
+    If the base tenant has no orchestration runs, it will first seed them from the fixture.
     """
 
     start_time = datetime.now(timezone.utc)
@@ -96,150 +199,24 @@ async def clone_demo_data(
     )
 
     try:
-        base_uuid = uuid.UUID(base_tenant_id)
         virtual_uuid = uuid.UUID(virtual_tenant_id)
 
-        # Fetch base tenant orchestration runs
+        # Load fixture data directly into virtual tenant (no base tenant cloning)
-        # Get all completed and partial_success runs from the base tenant
+        runs_created = await load_fixture_data_for_tenant(
-        result = await db.execute(
+            db,
-            select(OrchestrationRun)
+            virtual_uuid,
-            .where(OrchestrationRun.tenant_id == base_uuid)
+            demo_account_type,
-            .order_by(OrchestrationRun.started_at.desc())
+            reference_time
-            .limit(10)  # Clone last 10 runs for demo
         )
-        base_runs = list(result.scalars().all())
-
-        runs_cloned = 0
-
-        # Clone each orchestration run with date adjustment
-        for base_run in base_runs:
-            # Use the shared date adjustment utility to ensure dates are always in the past
-            # This calculates the offset from BASE_REFERENCE_DATE and applies it to session creation time
-            if base_run.started_at:
-                new_started_at = adjust_date_for_demo(
-                    base_run.started_at, reference_time
-                )
-            else:
-                new_started_at = reference_time - timedelta(hours=2)
-
-            # Adjust completed_at using the same utility
-            if base_run.completed_at:
-                new_completed_at = adjust_date_for_demo(
-                    base_run.completed_at, reference_time
-                )
-                # Ensure completion is after start (in case of edge cases)
-                if new_completed_at and new_started_at and new_completed_at < new_started_at:
-                    # Preserve original duration
-                    duration = base_run.completed_at - base_run.started_at
-                    new_completed_at = new_started_at + duration
-            else:
-                new_completed_at = None
-
-            # Adjust all step timestamps using the shared utility
-            def adjust_timestamp(original_timestamp):
-                if not original_timestamp:
-                    return None
-                return adjust_date_for_demo(original_timestamp, reference_time)
-
-            # Create new orchestration run for virtual tenant
-            # Update run_number to have current year instead of original year, and make it unique
-            current_year = reference_time.year
-            # Extract type from original run number and create new format
-            parts = base_run.run_number.split('-')
-            if len(parts) >= 4:
-                tenant_prefix = parts[1] if len(parts) > 1 else "DEMO"
-                type_code = parts[2] if len(parts) > 2 else "TST"
-                original_index = parts[3] if len(parts) > 3 else "001"
-
-                # Generate a more robust unique suffix to avoid collisions
-                # Use UUID instead of just session_id substring to ensure uniqueness
-                unique_suffix = str(uuid.uuid4())[:8].upper()
-                proposed_run_number = f"ORCH-{tenant_prefix}-{type_code}-{current_year}-{original_index}-{unique_suffix}"
-            else:
-                unique_suffix = str(uuid.uuid4())[:12].upper()
-                proposed_run_number = f"{base_run.run_number}-{unique_suffix}"
-
-            # Ensure the run number is truly unique by checking against existing entries
-            # This prevents collisions especially in high-concurrency scenarios
-            run_number = await ensure_unique_run_number(db, proposed_run_number)
-
-            new_run = OrchestrationRun(
-                id=uuid.uuid4(),
-                tenant_id=virtual_uuid,
-                run_number=run_number,
-                status=base_run.status,
-                run_type=base_run.run_type,
-                priority=base_run.priority,
-                started_at=new_started_at,
-                completed_at=new_completed_at,
-                duration_seconds=base_run.duration_seconds,
-
-                # Forecasting step
-                forecasting_started_at=adjust_timestamp(base_run.forecasting_started_at),
-                forecasting_completed_at=adjust_timestamp(base_run.forecasting_completed_at),
-                forecasting_status=base_run.forecasting_status,
-                forecasting_error=base_run.forecasting_error,
-
-                # Production step
-                production_started_at=adjust_timestamp(base_run.production_started_at),
-                production_completed_at=adjust_timestamp(base_run.production_completed_at),
-                production_status=base_run.production_status,
-                production_error=base_run.production_error,
-
-                # Procurement step
-                procurement_started_at=adjust_timestamp(base_run.procurement_started_at),
-                procurement_completed_at=adjust_timestamp(base_run.procurement_completed_at),
-                procurement_status=base_run.procurement_status,
-                procurement_error=base_run.procurement_error,
-
-                # Notification step
-                notification_started_at=adjust_timestamp(base_run.notification_started_at),
-                notification_completed_at=adjust_timestamp(base_run.notification_completed_at),
-                notification_status=base_run.notification_status,
-                notification_error=base_run.notification_error,
-
-                # AI Insights (if exists)
-                ai_insights_started_at=adjust_timestamp(base_run.ai_insights_started_at) if hasattr(base_run, 'ai_insights_started_at') else None,
-                ai_insights_completed_at=adjust_timestamp(base_run.ai_insights_completed_at) if hasattr(base_run, 'ai_insights_completed_at') else None,
-                ai_insights_status=base_run.ai_insights_status if hasattr(base_run, 'ai_insights_status') else None,
-                ai_insights_generated=base_run.ai_insights_generated if hasattr(base_run, 'ai_insights_generated') else None,
-                ai_insights_posted=base_run.ai_insights_posted if hasattr(base_run, 'ai_insights_posted') else None,
-
-                # Results summary
-                forecasts_generated=base_run.forecasts_generated,
-                production_batches_created=base_run.production_batches_created,
-                procurement_plans_created=base_run.procurement_plans_created,
-                purchase_orders_created=base_run.purchase_orders_created,
-                notifications_sent=base_run.notifications_sent,
-
-                # Performance metrics
-                fulfillment_rate=base_run.fulfillment_rate,
-                on_time_delivery_rate=base_run.on_time_delivery_rate,
-                cost_accuracy=base_run.cost_accuracy,
-                quality_score=base_run.quality_score,
-
-                # Data
-                forecast_data=base_run.forecast_data,
-                run_metadata=base_run.run_metadata,
-
-                # Metadata
-                triggered_by=base_run.triggered_by,
-                created_at=reference_time,
-                updated_at=reference_time
-            )
-
-            db.add(new_run)
-            await db.flush()
-            runs_cloned += 1
 
         await db.commit()
 
         duration_ms = int((datetime.now(timezone.utc) - start_time).total_seconds() * 1000)
 
         logger.info(
-            "Orchestration runs cloned successfully",
+            "Orchestration runs loaded from fixture successfully",
             virtual_tenant_id=str(virtual_tenant_id),
-            runs_cloned=runs_cloned,
+            runs_created=runs_created,
             duration_ms=duration_ms
         )
 
@@ -247,8 +224,8 @@ async def clone_demo_data(
             "service": "orchestrator",
             "status": "completed",
             "success": True,
-            "records_cloned": runs_cloned,
+            "records_cloned": runs_created,
-            "runs_cloned": runs_cloned,
+            "runs_cloned": runs_created,
             "duration_ms": duration_ms
         }
 

services/orders/app/api/internal_demo.py

@@ -187,7 +187,7 @@ async def clone_demo_data(
         logger.info(
             "Loaded orders seed data",
             customers=len(seed_data.get('customers', [])),
-            orders=len(seed_data.get('orders', []))
+            orders=len(seed_data.get('customer_orders', []))
         )
 
         # Load Customers from seed data
@@ -249,7 +249,7 @@ async def clone_demo_data(
         # Load Customer Orders from seed data
         order_id_map = {}
 
-        for order_data in seed_data.get('orders', []):
+        for order_data in seed_data.get('customer_orders', []):
             # Transform IDs using XOR
             from shared.utils.demo_id_transformer import transform_id
             try:

services/production/app/api/internal_demo.py

@@ -246,47 +246,60 @@ async def clone_demo_data(
         # Flush to get equipment IDs
         await db.flush()
 
-        # Clone Quality Check Templates
+        # Clone Quality Check Templates from seed data
-        # Note: Quality check templates are not included in seed data
-        # They would need to be added to the production seed data if needed
         template_id_map = {}
-        base_templates = []
 
-        logger.info(
+        for template_data in seed_data.get('quality_check_templates', []):
-            "No quality check templates to clone (not in seed data)",
+            # Transform template ID using XOR
-            count=len(base_templates)
+            from shared.utils.demo_id_transformer import transform_id
-        )
+            try:
+                template_uuid = UUID(template_data['id'])
+                transformed_id = transform_id(template_data['id'], virtual_uuid)
+            except ValueError as e:
+                logger.error("Failed to parse template UUID",
+                            template_id=template_data['id'],
+                            error=str(e))
+                continue
 
-        # Only create templates if they exist in base templates
+            template_id_map[UUID(template_data['id'])] = transformed_id
-        for template in base_templates:
+
-            new_template_id = uuid.uuid4()
+            # Parse date fields (supports BASE_TS markers and ISO timestamps)
-            template_id_map[template.id] = new_template_id
+            adjusted_created_at = parse_date_field(
+                template_data.get('created_at'),
+                session_time,
+                "created_at"
+            ) or session_time
+            adjusted_updated_at = parse_date_field(
+                template_data.get('updated_at'),
+                session_time,
+                "updated_at"
+            ) or adjusted_created_at
 
             new_template = QualityCheckTemplate(
-                id=new_template_id,
+                id=str(transformed_id),
                 tenant_id=virtual_uuid,
-                name=template.name,
+                name=template_data.get('name'),
-                template_code=template.template_code,
+                template_code=template_data.get('template_code'),
-                check_type=template.check_type,
+                check_type=template_data.get('check_type'),
-                category=template.category,
+                category=template_data.get('category'),
-                description=template.description,
+                description=template_data.get('description'),
-                instructions=template.instructions,
+                instructions=template_data.get('instructions'),
-                parameters=template.parameters,
+                parameters=template_data.get('parameters'),
-                thresholds=template.thresholds,
+                thresholds=template_data.get('thresholds'),
-                scoring_criteria=template.scoring_criteria,
+                scoring_criteria=template_data.get('scoring_criteria'),
-                is_active=template.is_active,
+                is_active=template_data.get('is_active', True),
-                is_required=template.is_required,
+                is_required=template_data.get('is_required', False),
-                is_critical=template.is_critical,
+                is_critical=template_data.get('is_critical', False),
-                weight=template.weight,
+                weight=template_data.get('weight', 1.0),
-                min_value=template.min_value,
+                min_value=template_data.get('min_value'),
-                max_value=template.max_value,
+                max_value=template_data.get('max_value'),
-                target_value=template.target_value,
+                target_value=template_data.get('target_value'),
-                unit=template.unit,
+                unit=template_data.get('unit'),
-                tolerance_percentage=template.tolerance_percentage,
+                tolerance_percentage=template_data.get('tolerance_percentage'),
-                applicable_stages=template.applicable_stages,
+                applicable_stages=template_data.get('applicable_stages'),
-                created_by=template.created_by,
+                created_by=template_data.get('created_by'),
-                created_at=session_time,
+                created_at=adjusted_created_at,
-                updated_at=session_time
+                updated_at=adjusted_updated_at
             )
             db.add(new_template)
             stats["quality_check_templates"] += 1

shared/demo/fixtures/professional/06-production.json

@@ -1731,5 +1731,304 @@
       "created_at": "BASE_TS",
       "updated_at": "BASE_TS"
     }
+  ],
+  "quality_check_templates": [
+    {
+      "id": "80000000-0000-0000-0000-000000000001",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Inspección Visual de Cocción",
+      "template_code": "QC-VISUAL-001",
+      "check_type": "visual",
+      "category": "Apariencia",
+      "description": "Inspección visual del color, dorado y apariencia general del producto horneado",
+      "instructions": "Verificar que el producto tenga un color uniforme, dorado apropiado y sin quemaduras. Revisar grietas, corteza y estructura general.",
+      "parameters": {
+        "color_uniformity": true,
+        "golden_brown": true,
+        "no_burns": true,
+        "proper_crust": true
+      },
+      "thresholds": {
+        "min_score": 7.0,
+        "critical_defects": ["burnt", "raw", "collapsed"]
+      },
+      "scoring_criteria": {
+        "color": 3.0,
+        "texture": 3.0,
+        "appearance": 2.0,
+        "structure": 2.0
+      },
+      "is_active": true,
+      "is_required": true,
+      "is_critical": false,
+      "weight": 1.0,
+      "min_value": null,
+      "max_value": null,
+      "target_value": null,
+      "unit": null,
+      "tolerance_percentage": null,
+      "applicable_stages": ["baking", "cooling", "packaging"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    },
+    {
+      "id": "80000000-0000-0000-0000-000000000002",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Control de Peso Unitario",
+      "template_code": "QC-WEIGHT-001",
+      "check_type": "measurement",
+      "category": "Dimensiones",
+      "description": "Verificación del peso unitario del producto contra los estándares definidos",
+      "instructions": "Pesar una muestra representativa de 5 unidades y verificar que el peso promedio esté dentro de la tolerancia permitida.",
+      "parameters": {
+        "sample_size": 5,
+        "unit": "grams"
+      },
+      "thresholds": {
+        "min_weight": null,
+        "max_weight": null,
+        "tolerance": 5.0
+      },
+      "scoring_criteria": {
+        "weight_accuracy": 5.0,
+        "consistency": 5.0
+      },
+      "is_active": true,
+      "is_required": true,
+      "is_critical": false,
+      "weight": 1.5,
+      "min_value": null,
+      "max_value": null,
+      "target_value": null,
+      "unit": "g",
+      "tolerance_percentage": 5.0,
+      "applicable_stages": ["packaging"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    },
+    {
+      "id": "80000000-0000-0000-0000-000000000003",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Control de Temperatura Interna",
+      "template_code": "QC-TEMP-001",
+      "check_type": "temperature",
+      "category": "Cocción",
+      "description": "Medición de la temperatura interna del producto para verificar cocción completa",
+      "instructions": "Insertar termómetro en el centro del producto y verificar que alcance la temperatura mínima de seguridad alimentaria.",
+      "parameters": {
+        "measurement_location": "center",
+        "thermometer_type": "digital"
+      },
+      "thresholds": {
+        "min_temp": 88.0,
+        "max_temp": 98.0,
+        "critical_min": 75.0
+      },
+      "scoring_criteria": {
+        "temperature_range": 10.0
+      },
+      "is_active": true,
+      "is_required": true,
+      "is_critical": true,
+      "weight": 2.0,
+      "min_value": 88.0,
+      "max_value": 98.0,
+      "target_value": 93.0,
+      "unit": "°C",
+      "tolerance_percentage": 5.0,
+      "applicable_stages": ["baking"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    },
+    {
+      "id": "80000000-0000-0000-0000-000000000004",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Evaluación de Textura y Estructura",
+      "template_code": "QC-TEXTURE-001",
+      "check_type": "visual",
+      "category": "Estructura",
+      "description": "Evaluación de la textura interna, alveolado y estructura de la miga",
+      "instructions": "Cortar el producto por la mitad y evaluar: alveolado uniforme, miga suave y húmeda, estructura adecuada sin zonas densas.",
+      "parameters": {
+        "crumb_structure": true,
+        "moisture_level": true,
+        "alveoli_distribution": true
+      },
+      "thresholds": {
+        "min_score": 7.0,
+        "critical_defects": ["dense", "dry", "gummy"]
+      },
+      "scoring_criteria": {
+        "crumb_openness": 3.0,
+        "moisture": 3.0,
+        "consistency": 2.0,
+        "mouthfeel": 2.0
+      },
+      "is_active": true,
+      "is_required": false,
+      "is_critical": false,
+      "weight": 1.0,
+      "min_value": null,
+      "max_value": null,
+      "target_value": null,
+      "unit": null,
+      "tolerance_percentage": null,
+      "applicable_stages": ["cooling", "packaging"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    },
+    {
+      "id": "80000000-0000-0000-0000-000000000005",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Control de Dimensiones",
+      "template_code": "QC-DIM-001",
+      "check_type": "measurement",
+      "category": "Dimensiones",
+      "description": "Verificación de las dimensiones (largo, ancho, alto) del producto terminado",
+      "instructions": "Medir una muestra de 5 unidades con calibrador o regla. Verificar que las dimensiones estén dentro del rango especificado.",
+      "parameters": {
+        "sample_size": 5,
+        "dimensions": ["length", "width", "height"]
+      },
+      "thresholds": {
+        "tolerance": 10.0
+      },
+      "scoring_criteria": {
+        "dimensional_accuracy": 5.0,
+        "uniformity": 5.0
+      },
+      "is_active": true,
+      "is_required": false,
+      "is_critical": false,
+      "weight": 0.8,
+      "min_value": null,
+      "max_value": null,
+      "target_value": null,
+      "unit": "cm",
+      "tolerance_percentage": 10.0,
+      "applicable_stages": ["shaping", "packaging"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    },
+    {
+      "id": "80000000-0000-0000-0000-000000000006",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Prueba Organoléptica (Sabor y Aroma)",
+      "template_code": "QC-TASTE-001",
+      "check_type": "visual",
+      "category": "Calidad Sensorial",
+      "description": "Evaluación del sabor, aroma y características organolépticas del producto",
+      "instructions": "Probar una muestra del producto. Evaluar sabor apropiado, aroma característico, sin sabores extraños u oxidación.",
+      "parameters": {
+        "flavor_profile": true,
+        "aroma": true,
+        "off_flavors": false,
+        "freshness": true
+      },
+      "thresholds": {
+        "min_score": 8.0,
+        "critical_defects": ["off_taste", "rancid", "bitter"]
+      },
+      "scoring_criteria": {
+        "flavor": 4.0,
+        "aroma": 3.0,
+        "freshness": 2.0,
+        "overall_quality": 1.0
+      },
+      "is_active": true,
+      "is_required": false,
+      "is_critical": true,
+      "weight": 1.5,
+      "min_value": null,
+      "max_value": null,
+      "target_value": null,
+      "unit": null,
+      "tolerance_percentage": null,
+      "applicable_stages": ["cooling", "packaging"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    },
+    {
+      "id": "80000000-0000-0000-0000-000000000007",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Control de Fermentación",
+      "template_code": "QC-PROOF-001",
+      "check_type": "visual",
+      "category": "Fermentación",
+      "description": "Evaluación del nivel de fermentación adecuado antes del horneado",
+      "instructions": "Verificar volumen de la masa, elasticidad al tacto y señales de fermentación apropiada. Prueba del dedo para verificar punto óptimo.",
+      "parameters": {
+        "volume_increase": true,
+        "finger_test": true,
+        "structure": true
+      },
+      "thresholds": {
+        "min_score": 7.0,
+        "critical_defects": ["underproofed", "overproofed", "collapsed"]
+      },
+      "scoring_criteria": {
+        "volume": 4.0,
+        "elasticity": 3.0,
+        "structure": 3.0
+      },
+      "is_active": true,
+      "is_required": true,
+      "is_critical": false,
+      "weight": 1.2,
+      "min_value": null,
+      "max_value": null,
+      "target_value": null,
+      "unit": null,
+      "tolerance_percentage": null,
+      "applicable_stages": ["proofing"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    },
+    {
+      "id": "80000000-0000-0000-0000-000000000008",
+      "tenant_id": "a1b2c3d4-e5f6-47a8-b9c0-d1e2f3a4b5c6",
+      "name": "Control de Laminado (Hojaldre)",
+      "template_code": "QC-LAMINATE-001",
+      "check_type": "visual",
+      "category": "Técnica",
+      "description": "Evaluación de la calidad del laminado en productos de hojaldre (croissants, napolitanas)",
+      "instructions": "Verificar número de capas visibles, separación entre capas, sin mantequilla derramada. Cortar producto para inspeccionar estructura interna.",
+      "parameters": {
+        "layer_count": true,
+        "layer_separation": true,
+        "butter_distribution": true,
+        "no_leakage": true
+      },
+      "thresholds": {
+        "min_score": 8.0,
+        "critical_defects": ["butter_leakage", "collapsed_layers", "uneven_distribution"]
+      },
+      "scoring_criteria": {
+        "layer_definition": 4.0,
+        "butter_incorporation": 3.0,
+        "structure": 2.0,
+        "appearance": 1.0
+      },
+      "is_active": true,
+      "is_required": false,
+      "is_critical": false,
+      "weight": 1.3,
+      "min_value": null,
+      "max_value": null,
+      "target_value": null,
+      "unit": null,
+      "tolerance_percentage": null,
+      "applicable_stages": ["shaping", "baking"],
+      "created_by": "c1a2b3c4-d5e6-47a8-b9c0-d1e2f3a4b5c6",
+      "created_at": "BASE_TS",
+      "updated_at": "BASE_TS"
+    }
   ]
 }