New alert system and panel de control page

services/demo_session/scripts/seed_enriched_alert_demo.py

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+#!/usr/bin/env python3
+"""
+Seed demo data for Unified Alert Service
+
+This script creates demo alerts that showcase the enrichment capabilities:
+- Low stock (AI already handled - prevented issue)
+- Supplier delay (action needed - critical)
+- Waste trend (trend warning - standard)
+- Orchestrator actions (for context enrichment)
+
+The unified alert-processor service automatically enriches all alerts with:
+- Multi-factor priority scoring
+- Orchestrator context (AI actions)
+- Business impact analysis
+- Smart actions with deep links
+- Timing intelligence
+
+Usage:
+    python services/demo_session/scripts/seed_enriched_alert_demo.py
+"""
+
+import asyncio
+import os
+import sys
+import uuid
+from datetime import datetime, timedelta
+from pathlib import Path
+
+# Add project root to path
+sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent))
+
+from shared.messaging.rabbitmq import RabbitMQClient
+import structlog
+
+logger = structlog.get_logger()
+
+# Demo tenant ID (should match existing demo tenant)
+DEMO_TENANT_ID = "demo-tenant-bakery-ia"
+
+# Demo entity IDs (should match existing demo data)
+FLOUR_INGREDIENT_ID = "flour-tipo-55"
+YEAST_INGREDIENT_ID = "yeast-fresh"
+CROISSANT_PRODUCT_ID = "croissant-mantequilla"
+CROISSANT_BATCH_ID = "batch-croissants-001"
+YEAST_SUPPLIER_ID = "supplier-levadura-fresh"
+FLOUR_PO_ID = "po-flour-demo-001"
+
+# Demo alerts for unified alert-processor (automatically enriched)
+DEMO_ALERTS = [
+    # Alert 1: Low Stock - AI Already Handled (Prevented Issue)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'item_type': 'alert',
+        'service': 'inventory',
+        'type': 'low_stock',
+        'severity': 'warning',  # Will be enriched with priority score ~71
+        'title': 'Bajo Stock: Harina Tipo 55',
+        'message': 'Stock: 45kg, Mínimo: 200kg',
+        'actions': [],  # Will be enhanced with smart actions
+        'metadata': {
+            'ingredient_id': FLOUR_INGREDIENT_ID,
+            'ingredient_name': 'Harina Tipo 55',
+            'current_stock': 45,
+            'minimum_stock': 200,
+            'unit': 'kg',
+            'supplier_name': 'Harinera San José',
+            'last_order_date': (datetime.utcnow() - timedelta(days=7)).isoformat()
+        },
+        'timestamp': datetime.utcnow().isoformat()
+    },
+
+    # Alert 2: Supplier Delay - Action Needed (Critical)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'item_type': 'alert',
+        'service': 'procurement',
+        'type': 'supplier_delay',
+        'severity': 'critical',  # Will be enriched with priority score ~92
+        'actions': [],  # Will be enhanced with smart actions
+        'title': 'Retraso de Proveedor: Levadura Fresh',
+        'message': 'Entrega retrasada 24 horas. Levadura necesaria para producción de mañana.',
+        'metadata': {
+            'supplier_id': YEAST_SUPPLIER_ID,
+            'supplier_name': 'Levadura Fresh',
+            'supplier_phone': '+34-555-1234',
+            'supplier_email': 'pedidos@levadura-fresh.es',
+            'ingredient_id': YEAST_INGREDIENT_ID,
+            'ingredient_name': 'Levadura Fresca',
+            'batch_id': CROISSANT_BATCH_ID,
+            'batch_name': 'Croissants Mantequilla Mañana',
+            'orders_affected': 3,
+            'financial_impact_eur': 450,
+            'deadline': (datetime.utcnow() + timedelta(hours=6)).isoformat(),
+            'quantity_needed': 15,
+            'unit': 'kg'
+        },
+        'timestamp': datetime.utcnow().isoformat()
+    },
+
+    # Alert 3: Waste Trend - Trend Warning (Standard)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'item_type': 'alert',
+        'service': 'production',
+        'type': 'waste_trend',
+        'severity': 'medium',  # Will be enriched with priority score ~58
+        'actions': [],  # Will be enhanced with smart actions
+        'title': 'Tendencia de Desperdicio: Croissants',
+        'message': 'Desperdicio aumentó 15% en 3 días. Patrón detectado: sobreproducción miércoles.',
+        'metadata': {
+            'product_id': CROISSANT_PRODUCT_ID,
+            'product_name': 'Croissant Mantequilla',
+            'waste_percentage': 23,
+            'baseline_percentage': 8,
+            'trend_days': 3,
+            'pattern': 'wednesday_overproduction',
+            'pattern_description': 'Desperdicio consistentemente alto los miércoles (18%, 21%, 23%)',
+            'financial_impact_eur': 180,
+            'recommendation': 'Reducir producción miércoles en 25 unidades',
+            'confidence': 0.85,
+            'historical_data': [
+                {'day': 'Mon', 'waste_pct': 7},
+                {'day': 'Tue', 'waste_pct': 9},
+                {'day': 'Wed', 'waste_pct': 23},
+                {'day': 'Thu', 'waste_pct': 8},
+                {'day': 'Fri', 'waste_pct': 6}
+            ]
+        },
+        'timestamp': datetime.utcnow().isoformat()
+    },
+
+    # Alert 4: Forecast Anomaly - Information (Low Priority)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'item_type': 'alert',
+        'service': 'forecasting',
+        'type': 'forecast_updated',
+        'severity': 'low',  # Will be enriched with priority score ~35
+        'actions': [],  # Will be enhanced with smart actions
+        'title': 'Previsión Actualizada: Fin de Semana Soleado',
+        'message': 'Pronóstico meteorológico actualizado: soleado sábado y domingo. Aumento de demanda esperado.',
+        'metadata': {
+            'forecast_type': 'weather_based',
+            'weather_condition': 'sunny',
+            'days_affected': ['2024-11-23', '2024-11-24'],
+            'expected_demand_increase_pct': 15,
+            'confidence': 0.78,
+            'recommended_action': 'Aumentar producción croissants y pan rústico 15%'
+        },
+        'timestamp': datetime.utcnow().isoformat()
+    },
+
+    # Alert 5: Equipment Maintenance - Action Needed (Medium)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'item_type': 'alert',
+        'service': 'production',
+        'type': 'equipment_maintenance',
+        'severity': 'medium',  # Will be enriched with priority score ~65
+        'actions': [],  # Will be enhanced with smart actions
+        'title': 'Mantenimiento Programado: Horno Industrial',
+        'message': 'Horno principal requiere mantenimiento en 48 horas según calendario.',
+        'metadata': {
+            'equipment_id': 'oven-001',
+            'equipment_name': 'Horno Industrial Principal',
+            'equipment_type': 'oven',
+            'maintenance_type': 'preventive',
+            'scheduled_date': (datetime.utcnow() + timedelta(hours=48)).isoformat(),
+            'estimated_duration_hours': 3,
+            'last_maintenance': (datetime.utcnow() - timedelta(days=90)).isoformat(),
+            'maintenance_interval_days': 90,
+            'supplier_contact': 'TecnoHornos Madrid',
+            'supplier_phone': '+34-555-6789'
+        },
+        'timestamp': datetime.utcnow().isoformat()
+    }
+]
+
+
+# Demo orchestrator actions (for context enrichment)
+DEMO_ORCHESTRATOR_ACTIONS = [
+    # Action 1: PO Created for Flour (provides context for Alert 1)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'action_type': 'purchase_order_created',
+        'reasoning_type': 'preventive',
+        'entity_type': 'purchase_order',
+        'entity_id': FLOUR_PO_ID,
+        'summary': 'Pedido de compra #12345 creado para 500kg harina',
+        'reasoning_summary': 'Detecté que el stock se agotará en 2.3 días basándome en patrones históricos de demanda. Creé pedido de compra para llegar el viernes.',
+        'metadata': {
+            'ingredient_id': FLOUR_INGREDIENT_ID,
+            'ingredient_name': 'Harina Tipo 55',
+            'quantity': 500,
+            'unit': 'kg',
+            'supplier_name': 'Harinera San José',
+            'po_number': 'PO-12345',
+            'estimated_delivery': (datetime.utcnow() + timedelta(days=2, hours=10)).isoformat(),
+            'estimated_savings_eur': 200,
+            'prevented_issue': 'stockout',
+            'confidence': 0.92,
+            'demand_forecast_method': 'historical_patterns',
+            'stock_runout_days': 2.3
+        },
+        'created_at': (datetime.utcnow() - timedelta(hours=2)).isoformat()
+    },
+
+    # Action 2: Batch Scheduled for Weekend (weather-based)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'action_type': 'batch_scheduled',
+        'reasoning_type': 'weather_based',
+        'entity_type': 'production_batch',
+        'entity_id': CROISSANT_BATCH_ID,
+        'summary': 'Aumentada producción croissants 20% para sábado',
+        'reasoning_summary': 'Pronóstico meteorológico muestra fin de semana soleado. Datos históricos muestran aumento de demanda 15% en sábados soleados.',
+        'metadata': {
+            'product_id': CROISSANT_PRODUCT_ID,
+            'product_name': 'Croissant Mantequilla',
+            'quantity_increase': 25,
+            'quantity_increase_pct': 20,
+            'date': (datetime.utcnow() + timedelta(days=2)).date().isoformat(),
+            'weather_condition': 'sunny',
+            'confidence': 0.85,
+            'historical_sunny_saturday_demand_increase': 15,
+            'estimated_additional_revenue_eur': 180
+        },
+        'created_at': (datetime.utcnow() - timedelta(hours=4)).isoformat()
+    },
+
+    # Action 3: Waste Reduction Adjustment (for trend context)
+    {
+        'id': str(uuid.uuid4()),
+        'tenant_id': DEMO_TENANT_ID,
+        'action_type': 'production_adjusted',
+        'reasoning_type': 'waste_reduction',
+        'entity_type': 'production_plan',
+        'entity_id': str(uuid.uuid4()),
+        'summary': 'Reducida producción lunes 10% basado en patrón post-fin de semana',
+        'reasoning_summary': 'Detecté patrón de baja demanda post-fin de semana. Histórico muestra reducción 12% demanda lunes. Ajusté producción para prevenir desperdicio.',
+        'metadata': {
+            'day_of_week': 'monday',
+            'reduction_pct': 10,
+            'historical_demand_drop_pct': 12,
+            'products_affected': ['Croissant Mantequilla', 'Pan Rústico'],
+            'estimated_waste_prevented_eur': 85,
+            'confidence': 0.78
+        },
+        'created_at': (datetime.utcnow() - timedelta(hours=20)).isoformat()
+    }
+]
+
+
+async def seed_enriched_alert_demo():
+    """
+    Seed demo data for unified alert service
+
+    This creates alerts that will be automatically enriched by alert-processor with:
+    - Multi-factor priority scoring
+    - Orchestrator context (AI actions)
+    - Business impact analysis
+    - Smart actions
+    - Timing intelligence
+    """
+
+    print("\n" + "="*70)
+    print("🚀 SEEDING DEMO DATA FOR UNIFIED ALERT SERVICE")
+    print("="*70 + "\n")
+
+    rabbitmq_url = os.getenv('RABBITMQ_URL', 'amqp://guest:guest@localhost:5672/')
+
+    try:
+        # Initialize RabbitMQ client
+        logger.info("Connecting to RabbitMQ", url=rabbitmq_url)
+        rabbitmq_client = RabbitMQClient(rabbitmq_url, 'demo-seeder')
+        await rabbitmq_client.connect()
+
+        # Publish demo alerts (will be automatically enriched)
+        print("\n📤 Publishing Alerts (Automatic Enrichment):")
+        print("-" * 70)
+
+        for i, alert in enumerate(DEMO_ALERTS, 1):
+            routing_key = f"{alert['item_type']}.{alert['service']}.{alert['type']}"
+
+            # Use publish_event method (correct API)
+            success = await rabbitmq_client.publish_event(
+                exchange_name='alerts.exchange',
+                routing_key=routing_key,
+                event_data=alert,
+                persistent=True
+            )
+
+            if not success:
+                logger.warning("Failed to publish alert", alert_id=alert['id'])
+                continue
+
+            print(f"  {i}. ✅ {alert['title']}")
+            print(f"     Service: {alert['service']}")
+            print(f"     Severity: {alert['severity']} (will be enriched)")
+            print(f"     Routing Key: {routing_key}")
+            print()
+
+        # Note about orchestrator actions
+        print("\n📊 Orchestrator Actions (for Context Enrichment):")
+        print("-" * 70)
+        print("NOTE: Orchestrator actions should be seeded via orchestrator service.")
+        print("These provide context for 'AI already handled' enrichment.\n")
+
+        for i, action in enumerate(DEMO_ORCHESTRATOR_ACTIONS, 1):
+            print(f"  {i}. {action['summary']}")
+            print(f"     Type: {action['reasoning_type']}")
+            print(f"     Created: {action['created_at']}")
+            print()
+
+        print("💡 TIP: To seed orchestrator actions, run:")
+        print("   python services/orchestrator/scripts/seed_demo_actions.py")
+        print()
+
+        await rabbitmq_client.disconnect()
+
+        print("="*70)
+        print("✅ DEMO ALERTS SEEDED SUCCESSFULLY!")
+        print("="*70)
+        print()
+        print("Next steps:")
+        print("  1. Verify alert-processor service is running:")
+        print("     kubectl get pods -l app.kubernetes.io/name=alert-processor-service")
+        print()
+        print("  2. Check logs for automatic enrichment:")
+        print("     kubectl logs -f deployment/alert-processor-service")
+        print()
+        print("  3. View enriched alerts in dashboard:")
+        print("     http://localhost:3000/dashboard")
+        print()
+        print("Expected automatic enrichment:")
+        print("  • Low Stock Alert → Important (71) - Prevented Issue + Smart Actions")
+        print("  • Supplier Delay → Critical (92) - Action Needed + Deep Links")
+        print("  • Waste Trend → Standard (58) - Trend Warning + AI Reasoning")
+        print("  • Forecast Update → Info (35) - Information")
+        print("  • Equipment Maint → Standard (65) - Action Needed + Timing")
+        print()
+        print("All alerts enriched with:")
+        print("  ✓ Multi-factor priority scores")
+        print("  ✓ Orchestrator context (AI actions)")
+        print("  ✓ Business impact analysis")
+        print("  ✓ Smart actions with deep links")
+        print("  ✓ Timing intelligence")
+        print()
+
+    except Exception as e:
+        logger.error("Failed to seed demo data", error=str(e))
+        print(f"\n❌ ERROR: {str(e)}")
+        print("\nTroubleshooting:")
+        print("  • Verify RabbitMQ is running: kubectl get pods | grep rabbitmq")
+        print("  • Check RABBITMQ_URL environment variable")
+        print("  • Ensure raw_alerts exchange can be created")
+        raise
+
+
+if __name__ == "__main__":
+    # Load environment variables
+    from dotenv import load_dotenv
+    load_dotenv()
+
+    # Run seeder
+    asyncio.run(seed_enriched_alert_demo())