#!/usr/bin/env python3
"""
Comprehensive Dashboard Demo Seed Script

Seeds ALL dashboard scenarios to showcase the complete JTBD-aligned dashboard:

1. Health Status (green/yellow/red with tri-state checklist)
2. Unified Action Queue (URGENT/TODAY/WEEK time-based grouping)
3. Execution Progress (production/deliveries/approvals tracking)
4. Orchestration Summary (AI automated vs user needed)
5. Stock Receipt Modal scenarios
6. AI Prevented Issues showcase
7. Alert Hub with all alert types

This creates a realistic dashboard state with:
- Actions in all time groups (urgent <6h, today <24h, week <7d)
- Execution progress with on_track/at_risk states
- AI prevented issues with savings
- Deliveries ready for stock receipt
- Production batches in various states
- Purchase orders needing approval

Usage:
    python services/demo_session/scripts/seed_dashboard_comprehensive.py

Environment Variables:
    RABBITMQ_URL: RabbitMQ connection URL (default: amqp://guest:guest@localhost:5672/)
    DEMO_TENANT_ID: Tenant ID to seed data for (default: demo-tenant-bakery-ia)
"""

import asyncio
import os
import sys
import uuid
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import List, Dict, Any

# Add project root to path
sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent))

from shared.messaging.rabbitmq import RabbitMQClient
from shared.schemas.alert_types import AlertTypeConstants
import structlog

logger = structlog.get_logger()

# Configuration
DEMO_TENANT_ID = os.getenv('DEMO_TENANT_ID', 'demo-tenant-bakery-ia')

# Build RabbitMQ URL from individual components or use direct URL
RABBITMQ_URL = os.getenv('RABBITMQ_URL')
if not RABBITMQ_URL:
    rabbitmq_host = os.getenv('RABBITMQ_HOST', 'localhost')
    rabbitmq_port = os.getenv('RABBITMQ_PORT', '5672')
    rabbitmq_user = os.getenv('RABBITMQ_USER', 'guest')
    rabbitmq_password = os.getenv('RABBITMQ_PASSWORD', 'guest')
    RABBITMQ_URL = f'amqp://{rabbitmq_user}:{rabbitmq_password}@{rabbitmq_host}:{rabbitmq_port}/'

# Demo entity IDs
FLOUR_ID = "flour-tipo-55"
YEAST_ID = "yeast-fresh"
BUTTER_ID = "butter-french"
SUGAR_ID = "sugar-white"
CHOCOLATE_ID = "chocolate-dark"

CROISSANT_PRODUCT = "croissant-mantequilla"
BAGUETTE_PRODUCT = "baguette-traditional"
CHOCOLATE_CAKE_PRODUCT = "chocolate-cake"

SUPPLIER_FLOUR = "supplier-harinera"
SUPPLIER_YEAST = "supplier-levadura"
SUPPLIER_DAIRY = "supplier-lacteos"


def utc_now() -> datetime:
    """Get current UTC time"""
    return datetime.now(timezone.utc)


# ============================================================
# 1. UNIFIED ACTION QUEUE - Time-Based Grouping
# ============================================================

def create_urgent_actions() -> List[Dict[str, Any]]:
    """
    Create URGENT actions (<6 hours deadline)
    These appear in the 🔴 URGENT section
    """
    now = utc_now()

    return [
        # PO Approval Escalation - 2h deadline
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'procurement',
            'alert_type': AlertTypeConstants.PO_APPROVAL_ESCALATION,
            'title': 'URGENT: PO Approval Needed - Yeast Supplier',
            'message': 'Purchase order #PO-2024-089 has been pending for 72 hours. Production batch depends on this delivery tomorrow morning.',
            'alert_metadata': {
                'po_id': 'po-2024-089',
                'po_number': 'PO-2024-089',
                'supplier_id': SUPPLIER_YEAST,
                'supplier_name': 'Levadura Fresh S.L.',
                'supplier_phone': '+34-555-1234',
                'total_amount': 450.00,
                'currency': 'EUR',
                'item_categories': ['Yeast', 'Leavening Agents'],
                'delivery_date': (now + timedelta(hours=10)).isoformat(),
                'batch_id': 'batch-croissants-tomorrow',
                'batch_name': 'Croissants Butter - Morning Batch',
                'financial_impact_eur': 1200,
                'orders_affected': 8,
                'escalation': {
                    'aged_hours': 72,
                    'priority_boost': 20,
                    'reason': 'pending_over_72h'
                },
                'urgency_context': {
                    'deadline': (now + timedelta(hours=2)).isoformat(),
                    'time_until_consequence_hours': 2,
                    'auto_action_countdown_seconds': 7200,  # 2h countdown
                    'can_wait_until_tomorrow': False
                }
            },
            'timestamp': (now - timedelta(hours=72)).isoformat()
        },

        # Delivery Overdue - Needs immediate action
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'procurement',
            'alert_type': AlertTypeConstants.DELIVERY_OVERDUE,
            'title': 'Delivery Overdue: Flour Delivery',
            'message': 'Expected delivery from Harinera San José is 4 hours overdue. Contact supplier immediately.',
            'alert_metadata': {
                'po_id': 'po-2024-085',
                'po_number': 'PO-2024-085',
                'supplier_id': SUPPLIER_FLOUR,
                'supplier_name': 'Harinera San José',
                'supplier_phone': '+34-555-5678',
                'supplier_email': 'pedidos@harinerasj.es',
                'ingredient_id': FLOUR_ID,
                'ingredient_name': 'Harina Tipo 55',
                'quantity_expected': 500,
                'unit': 'kg',
                'expected_delivery': (now - timedelta(hours=4)).isoformat(),
                'hours_overdue': 4,
                'stock_runout_hours': 18,
                'batches_at_risk': ['batch-baguettes-001', 'batch-croissants-002'],
                'urgency_context': {
                    'deadline': (now + timedelta(hours=3)).isoformat(),
                    'time_until_consequence_hours': 3,
                    'can_wait_until_tomorrow': False
                }
            },
            'timestamp': (now - timedelta(hours=4)).isoformat()
        },

        # Production Batch At Risk - 5h window
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'production',
            'alert_type': AlertTypeConstants.BATCH_AT_RISK,
            'title': 'Batch At Risk: Missing Ingredients',
            'message': 'Batch "Chocolate Cakes Evening" scheduled in 5 hours but missing 3kg dark chocolate.',
            'alert_metadata': {
                'batch_id': 'batch-chocolate-cake-evening',
                'batch_name': 'Chocolate Cakes Evening',
                'product_id': CHOCOLATE_CAKE_PRODUCT,
                'product_name': 'Chocolate Cake Premium',
                'planned_start': (now + timedelta(hours=5)).isoformat(),
                'missing_ingredients': [
                    {'ingredient_id': CHOCOLATE_ID, 'name': 'Dark Chocolate 70%', 'needed': 3, 'available': 0, 'unit': 'kg'}
                ],
                'orders_dependent': 5,
                'financial_impact_eur': 380,
                'urgency_context': {
                    'deadline': (now + timedelta(hours=5)).isoformat(),
                    'time_until_consequence_hours': 5,
                    'can_wait_until_tomorrow': False
                }
            },
            'timestamp': now.isoformat()
        }
    ]


def create_today_actions() -> List[Dict[str, Any]]:
    """
    Create TODAY actions (<24 hours deadline)
    These appear in the 🟡 TODAY section
    """
    now = utc_now()

    return [
        # PO Approval Needed - Standard priority
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'procurement',
            'alert_type': AlertTypeConstants.PO_APPROVAL_NEEDED,
            'title': 'PO Approval: Butter & Dairy Products',
            'message': 'Purchase order for weekly dairy delivery needs your approval. Delivery scheduled for Friday.',
            'alert_metadata': {
                'po_id': 'po-2024-090',
                'po_number': 'PO-2024-090',
                'supplier_id': SUPPLIER_DAIRY,
                'supplier_name': 'Lácteos Frescos Madrid',
                'supplier_phone': '+34-555-9012',
                'total_amount': 890.50,
                'currency': 'EUR',
                'item_categories': ['Butter', 'Cream', 'Milk'],
                'delivery_date': (now + timedelta(days=2)).isoformat(),
                'line_items': [
                    {'ingredient': 'French Butter', 'quantity': 20, 'unit': 'kg', 'price': 12.50},
                    {'ingredient': 'Heavy Cream', 'quantity': 15, 'unit': 'L', 'price': 4.20},
                    {'ingredient': 'Whole Milk', 'quantity': 30, 'unit': 'L', 'price': 1.80}
                ],
                'urgency_context': {
                    'deadline': (now + timedelta(hours=20)).isoformat(),
                    'time_until_consequence_hours': 20,
                    'can_wait_until_tomorrow': True
                }
            },
            'timestamp': (now - timedelta(hours=6)).isoformat()
        },

        # Delivery Arriving Soon - Needs preparation
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'procurement',
            'alert_type': AlertTypeConstants.DELIVERY_ARRIVING_SOON,
            'title': 'Delivery Arriving in 8 Hours: Sugar & Ingredients',
            'message': 'Prepare for incoming delivery. Stock receipt will be required.',
            'alert_metadata': {
                'po_id': 'po-2024-088',
                'po_number': 'PO-2024-088',
                'supplier_id': 'supplier-ingredients',
                'supplier_name': 'Ingredientes Premium',
                'supplier_phone': '+34-555-3456',
                'delivery_id': 'delivery-2024-088',
                'expected_arrival': (now + timedelta(hours=8)).isoformat(),
                'item_count': 5,
                'total_weight_kg': 250,
                'requires_stock_receipt': True,
                'warehouse_location': 'Warehouse A - Section 3',
                'line_items': [
                    {'ingredient': 'White Sugar', 'quantity': 100, 'unit': 'kg'},
                    {'ingredient': 'Brown Sugar', 'quantity': 50, 'unit': 'kg'},
                    {'ingredient': 'Vanilla Extract', 'quantity': 2, 'unit': 'L'}
                ],
                'urgency_context': {
                    'deadline': (now + timedelta(hours=8)).isoformat(),
                    'time_until_consequence_hours': 8,
                    'can_wait_until_tomorrow': False
                }
            },
            'timestamp': now.isoformat()
        },

        # Low Stock Warning - Today action recommended
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'inventory',
            'alert_type': AlertTypeConstants.LOW_STOCK_WARNING,
            'title': 'Low Stock: Fresh Yeast',
            'message': 'Fresh yeast stock is low. Current: 2.5kg, Minimum: 10kg. Recommend ordering today.',
            'alert_metadata': {
                'ingredient_id': YEAST_ID,
                'ingredient_name': 'Fresh Yeast',
                'current_stock': 2.5,
                'minimum_stock': 10,
                'maximum_stock': 25,
                'unit': 'kg',
                'daily_consumption_avg': 3.5,
                'days_remaining': 0.7,
                'supplier_name': 'Levadura Fresh S.L.',
                'last_order_date': (now - timedelta(days=8)).isoformat(),
                'recommended_order_quantity': 20,
                'urgency_context': {
                    'stockout_risk_hours': 17,
                    'can_wait_until_tomorrow': True
                }
            },
            'timestamp': (now - timedelta(hours=3)).isoformat()
        }
    ]


def create_week_actions() -> List[Dict[str, Any]]:
    """
    Create WEEK actions (<7 days deadline)
    These appear in the 🟢 THIS WEEK section
    """
    now = utc_now()

    return [
        # Demand Surge Predicted - Plan ahead
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'forecasting',
            'alert_type': AlertTypeConstants.DEMAND_SURGE_PREDICTED,
            'title': 'Weekend Demand Surge Predicted',
            'message': 'Sunny weather forecast for Saturday-Sunday. Expect 25% demand increase for croissants and pastries.',
            'alert_metadata': {
                'forecast_type': 'weather_based',
                'weather_condition': 'sunny',
                'days_affected': [
                    (now + timedelta(days=3)).date().isoformat(),
                    (now + timedelta(days=4)).date().isoformat()
                ],
                'expected_demand_increase_pct': 25,
                'products_affected': [
                    {'product_id': CROISSANT_PRODUCT, 'product_name': 'Croissant Butter', 'increase_pct': 30},
                    {'product_id': BAGUETTE_PRODUCT, 'product_name': 'Baguette Traditional', 'increase_pct': 20}
                ],
                'confidence': 0.85,
                'recommended_action': 'Increase production by 25% and ensure adequate stock',
                'estimated_revenue_opportunity_eur': 450,
                'urgency_context': {
                    'deadline': (now + timedelta(days=2)).isoformat(),
                    'can_wait_until_tomorrow': True
                }
            },
            'timestamp': now.isoformat()
        },

        # Stock Receipt Incomplete - Can wait
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'inventory',
            'alert_type': AlertTypeConstants.STOCK_RECEIPT_INCOMPLETE,
            'title': 'Stock Receipt Pending: Flour Delivery',
            'message': 'Delivery received 2 days ago but stock receipt not completed. Please confirm lot details and expiration dates.',
            'alert_metadata': {
                'receipt_id': 'receipt-2024-012',
                'po_id': 'po-2024-083',
                'po_number': 'PO-2024-083',
                'supplier_name': 'Harinera San José',
                'delivery_date': (now - timedelta(days=2)).isoformat(),
                'days_since_delivery': 2,
                'line_items_pending': 3,
                'total_items': 3,
                'requires_lot_tracking': True,
                'requires_expiration': True,
                'urgency_context': {
                    'deadline': (now + timedelta(days=5)).isoformat(),
                    'can_wait_until_tomorrow': True
                }
            },
            'timestamp': (now - timedelta(days=2)).isoformat()
        }
    ]


# ============================================================
# 2. AI PREVENTED ISSUES - Showcase AI Value
# ============================================================

def create_prevented_issues() -> List[Dict[str, Any]]:
    """
    Create alerts showing AI prevented issues (type_class: prevented_issue)
    These show in the Health Status Card and Prevented Issues Card
    """
    now = utc_now()

    return [
        # Prevented Stockout - PO created automatically
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'inventory',
            'alert_type': 'ai_prevented_stockout',
            'title': '✅ AI Prevented Stockout: Flour',
            'message': 'AI detected upcoming stockout and created purchase order automatically. Delivery arriving Friday.',
            'alert_metadata': {
                'type_class': 'prevented_issue',
                'priority_level': 'info',
                'ingredient_id': FLOUR_ID,
                'ingredient_name': 'Harina Tipo 55',
                'prevented_risk': 'stockout',
                'ai_action_taken': 'purchase_order_created',
                'po_id': 'po-2024-091',
                'po_number': 'PO-2024-091',
                'quantity_ordered': 500,
                'unit': 'kg',
                'supplier_name': 'Harinera San José',
                'delivery_date': (now + timedelta(days=2)).isoformat(),
                'estimated_savings_eur': 250,
                'orchestrator_context': {
                    'already_addressed': True,
                    'action_type': 'purchase_order',
                    'action_id': 'po-2024-091',
                    'action_status': 'pending_approval',
                    'reasoning': 'Detected stock would run out in 1.8 days based on historical consumption patterns'
                },
                'business_impact': {
                    'prevented_stockout_hours': 43,
                    'affected_orders_prevented': 12,
                    'production_batches_secured': 4
                },
                'ai_reasoning_summary': 'Analyzed consumption patterns and detected stockout in 43 hours. Created PO for 500kg to arrive Friday, preventing disruption to 4 production batches.'
            },
            'timestamp': (now - timedelta(hours=12)).isoformat()
        },

        # Prevented Waste - Production adjusted
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'production',
            'alert_type': 'ai_prevented_waste',
            'title': '✅ AI Prevented Waste: Reduced Monday Production',
            'message': 'AI detected post-weekend demand pattern and reduced Monday production by 15%, preventing €120 in waste.',
            'alert_metadata': {
                'type_class': 'prevented_issue',
                'priority_level': 'info',
                'product_id': BAGUETTE_PRODUCT,
                'product_name': 'Baguette Traditional',
                'prevented_risk': 'waste',
                'ai_action_taken': 'production_adjusted',
                'reduction_pct': 15,
                'units_reduced': 45,
                'day_of_week': 'Monday',
                'historical_pattern': 'post_weekend_low_demand',
                'estimated_savings_eur': 120,
                'orchestrator_context': {
                    'already_addressed': True,
                    'action_type': 'production_batch',
                    'action_id': 'batch-baguettes-monday-adjusted',
                    'action_status': 'completed',
                    'reasoning': 'Historical data shows 18% demand drop on Mondays following sunny weekends'
                },
                'business_impact': {
                    'waste_prevented_kg': 12,
                    'waste_reduction_pct': 15
                },
                'ai_reasoning_summary': 'Detected consistent Monday demand drop (18% avg) in post-weekend data. Adjusted production to prevent overproduction and waste.'
            },
            'timestamp': (now - timedelta(days=1)).isoformat()
        },

        # Prevented Production Delay - Batch rescheduled
        {
            'id': str(uuid.uuid4()),
            'tenant_id': DEMO_TENANT_ID,
            'item_type': 'alert',
            'service': 'production',
            'alert_type': 'ai_prevented_delay',
            'title': '✅ AI Prevented Delay: Rescheduled Conflicting Batches',
            'message': 'AI detected oven capacity conflict and rescheduled batches to optimize throughput.',
            'alert_metadata': {
                'type_class': 'prevented_issue',
                'priority_level': 'info',
                'prevented_risk': 'production_delay',
                'ai_action_taken': 'batch_rescheduled',
                'batches_affected': 3,
                'equipment_id': 'oven-001',
                'equipment_name': 'Industrial Oven #1',
                'capacity_utilization_before': 110,
                'capacity_utilization_after': 95,
                'time_saved_minutes': 45,
                'estimated_savings_eur': 85,
                'orchestrator_context': {
                    'already_addressed': True,
                    'action_type': 'batch_optimization',
                    'action_status': 'completed',
                    'reasoning': 'Detected overlapping batch schedules would exceed oven capacity by 10%'
                },
                'business_impact': {
                    'orders_on_time': 8,
                    'customer_satisfaction_impact': 'high'
                },
                'ai_reasoning_summary': 'Identified capacity conflict in oven schedule. Rescheduled 3 batches to maintain on-time delivery for 8 orders.'
            },
            'timestamp': (now - timedelta(hours=18)).isoformat()
        }
    ]


# ============================================================
# 3. EXECUTION PROGRESS - Production/Deliveries/Approvals
# ============================================================

def create_production_batches() -> List[Dict[str, Any]]:
    """
    Create production batch data for execution progress tracking
    """
    now = utc_now()

    return [
        # Completed batch
        {
            'batch_id': 'batch-morning-croissants',
            'product_name': 'Croissant Butter',
            'quantity': 120,
            'status': 'completed',
            'planned_start': (now - timedelta(hours=4)).isoformat(),
            'actual_start': (now - timedelta(hours=4, minutes=5)).isoformat(),
            'actual_end': (now - timedelta(hours=1)).isoformat()
        },
        # In progress batch
        {
            'batch_id': 'batch-baguettes-lunch',
            'product_name': 'Baguette Traditional',
            'quantity': 80,
            'status': 'in_progress',
            'planned_start': (now - timedelta(hours=2)).isoformat(),
            'actual_start': (now - timedelta(hours=2, minutes=10)).isoformat(),
            'progress_pct': 65
        },
        # Pending batches
        {
            'batch_id': 'batch-afternoon-pastries',
            'product_name': 'Mixed Pastries',
            'quantity': 50,
            'status': 'pending',
            'planned_start': (now + timedelta(hours=1)).isoformat()
        },
        {
            'batch_id': 'batch-evening-bread',
            'product_name': 'Artisan Bread Assortment',
            'quantity': 40,
            'status': 'pending',
            'planned_start': (now + timedelta(hours=3)).isoformat()
        }
    ]


# ============================================================
# MAIN SEEDING FUNCTION
# ============================================================

async def seed_comprehensive_dashboard():
    """
    Seed comprehensive dashboard demo data

    Creates realistic dashboard state showcasing:
    - All time-based action groups (urgent/today/week)
    - AI prevented issues with savings
    - Execution progress tracking
    - Stock receipt scenarios
    - Full alert type coverage
    """

    print("\n" + "="*80)
    print("🚀 SEEDING COMPREHENSIVE DASHBOARD DEMO DATA")
    print("="*80 + "\n")

    print(f"📋 Configuration:")
    print(f"   Tenant ID: {DEMO_TENANT_ID}")
    print(f"   RabbitMQ: {RABBITMQ_URL}")
    print()

    try:
        # Initialize RabbitMQ
        logger.info("Connecting to RabbitMQ", url=RABBITMQ_URL)
        rabbitmq_client = RabbitMQClient(RABBITMQ_URL, 'dashboard-demo-seeder')
        await rabbitmq_client.connect()

        # Collect all alerts
        all_alerts = []
        all_alerts.extend(create_urgent_actions())
        all_alerts.extend(create_today_actions())
        all_alerts.extend(create_week_actions())
        all_alerts.extend(create_prevented_issues())

        print(f"📊 Dashboard Scenarios to Seed:")
        print(f"   🔴 URGENT actions (<6h): {len(create_urgent_actions())}")
        print(f"   🟡 TODAY actions (<24h): {len(create_today_actions())}")
        print(f"   🟢 WEEK actions (<7d): {len(create_week_actions())}")
        print(f"   ✅ AI Prevented Issues: {len(create_prevented_issues())}")
        print(f"   📦 Total Alerts: {len(all_alerts)}")
        print()

        # Publish alerts
        print("📤 Publishing Alerts:")
        print("-" * 80)

        success_count = 0
        for i, alert in enumerate(all_alerts, 1):
            routing_key = f"{alert['item_type']}.{alert['service']}.{alert['alert_type']}"

            success = await rabbitmq_client.publish_event(
                exchange_name='alerts.exchange',
                routing_key=routing_key,
                event_data=alert,
                persistent=True
            )

            if success:
                success_count += 1
                status = "✅"
            else:
                status = "❌"
                logger.warning("Failed to publish alert", alert_id=alert['id'])

            # Determine time group emoji
            if 'escalation' in alert.get('alert_metadata', {}) or \
               alert.get('alert_metadata', {}).get('urgency_context', {}).get('time_until_consequence_hours', 999) < 6:
                group = "🔴 URGENT"
            elif alert.get('alert_metadata', {}).get('urgency_context', {}).get('time_until_consequence_hours', 999) < 24:
                group = "🟡 TODAY"
            elif alert.get('alert_metadata', {}).get('type_class') == 'prevented_issue':
                group = "✅ PREVENTED"
            else:
                group = "🟢 WEEK"

            print(f"  {i:2d}. {status} [{group}] {alert['title']}")

        print()
        print(f"✅ Published {success_count}/{len(all_alerts)} alerts successfully")
        print()

        await rabbitmq_client.disconnect()

        # Print dashboard preview
        print("="*80)
        print("📊 EXPECTED DASHBOARD STATE")
        print("="*80)
        print()

        print("🏥 HEALTH STATUS:")
        print("   Status: YELLOW (actions needed)")
        print("   Checklist:")
        print("      ⚡ AI Handled: 3 issues prevented (€455 saved)")
        print("      ⚠️  Needs You: 3 urgent actions, 3 today actions")
        print()

        print("📋 ACTION QUEUE:")
        print("   🔴 URGENT (<6h): 3 actions")
        print("      - PO Approval Escalation (2h deadline)")
        print("      - Delivery Overdue (4h late)")
        print("      - Batch At Risk (5h until start)")
        print()
        print("   🟡 TODAY (<24h): 3 actions")
        print("      - PO Approval: Dairy Products")
        print("      - Delivery Arriving Soon (8h)")
        print("      - Low Stock: Fresh Yeast")
        print()
        print("   🟢 THIS WEEK (<7d): 2 actions")
        print("      - Weekend Demand Surge")
        print("      - Stock Receipt Incomplete")
        print()

        print("📊 EXECUTION PROGRESS:")
        print("   Production: 2/4 batches (on_track)")
        print("      ✅ Completed: 1")
        print("      🔄 In Progress: 1")
        print("      ⏳ Pending: 2")
        print()
        print("   Deliveries: Status depends on real PO data")
        print("   Approvals: 2 pending")
        print()

        print("✅ AI PREVENTED ISSUES:")
        print("   Total Prevented: 3 issues")
        print("   Total Savings: €455")
        print("   Details:")
        print("      - Prevented stockout (€250 saved)")
        print("      - Prevented waste (€120 saved)")
        print("      - Prevented delay (€85 saved)")
        print()

        print("="*80)
        print("🎉 DASHBOARD DEMO SEEDED SUCCESSFULLY!")
        print("="*80)
        print()

        print("Next Steps:")
        print("  1. Verify alert-processor is running:")
        print("     kubectl get pods -l app.kubernetes.io/name=alert-processor-service")
        print()
        print("  2. Check alert enrichment logs:")
        print("     kubectl logs -f deployment/alert-processor-service | grep 'enriched_alert'")
        print()
        print("  3. View dashboard:")
        print("     http://localhost:3000/dashboard")
        print()
        print("  4. Test smart actions:")
        print("     - Approve/Reject PO from action queue")
        print("     - Mark delivery as received (opens stock receipt modal)")
        print("     - Call supplier (initiates phone call)")
        print("     - Adjust production (navigates to production page)")
        print()

    except Exception as e:
        logger.error("Failed to seed dashboard demo", error=str(e), exc_info=True)
        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 alerts.exchange exists")
        print("  • Check alert-processor service logs for errors")
        raise


if __name__ == "__main__":
    # Load environment variables
    from dotenv import load_dotenv
    load_dotenv()

    # Run seeder
    asyncio.run(seed_comprehensive_dashboard())