bakery-ia/services/inventory/app/services/inventory_alert_service.py

# services/inventory/app/services/inventory_alert_service.py
"""
Inventory-specific alert and recommendation detection service
Implements hybrid detection patterns for critical stock issues and optimization opportunities
"""

import asyncio
import json
import uuid
from typing import List, Dict, Any, Optional
from uuid import UUID
from datetime import datetime, timedelta, timezone
import structlog
from apscheduler.triggers.cron import CronTrigger
from sqlalchemy import text

from shared.alerts.base_service import BaseAlertService, AlertServiceMixin
from shared.alerts.templates import format_item_message
from app.repositories.stock_repository import StockRepository
from app.repositories.stock_movement_repository import StockMovementRepository

logger = structlog.get_logger()

class InventoryAlertService(BaseAlertService, AlertServiceMixin):
    """Inventory service alert and recommendation detection"""
    
    def setup_scheduled_checks(self):
        """Inventory-specific scheduled checks for alerts and recommendations"""
        
        # SPACED SCHEDULING TO PREVENT CONCURRENT EXECUTION AND DEADLOCKS
        
        # Critical stock checks - every 5 minutes (alerts) - Start at minute 0, 5, 10, etc.
        self.scheduler.add_job(
            self.check_stock_levels,
            CronTrigger(minute='0,5,10,15,20,25,30,35,40,45,50,55'),  # Explicit minutes
            id='stock_levels',
            misfire_grace_time=30,
            max_instances=1
        )
        
        # Expiry checks - every 2 minutes (food safety critical, alerts) - Start at minute 1, 3, 7, etc.
        self.scheduler.add_job(
            self.check_expiring_products,
            CronTrigger(minute='1,3,7,9,11,13,17,19,21,23,27,29,31,33,37,39,41,43,47,49,51,53,57,59'),  # Avoid conflicts
            id='expiry_check',
            misfire_grace_time=30,
            max_instances=1
        )
        
        # Temperature checks - every 5 minutes (alerts) - Start at minute 2, 12, 22, etc. (reduced frequency)
        self.scheduler.add_job(
            self.check_temperature_breaches,
            CronTrigger(minute='2,12,22,32,42,52'),  # Every 10 minutes, offset by 2
            id='temperature_check',
            misfire_grace_time=30,
            max_instances=1
        )
        
        # Inventory optimization - every 30 minutes (recommendations) - Start at minute 15, 45
        self.scheduler.add_job(
            self.generate_inventory_recommendations,
            CronTrigger(minute='15,45'),  # Offset to avoid conflicts
            id='inventory_recs',
            misfire_grace_time=120,
            max_instances=1
        )
        
        # Waste reduction analysis - every hour (recommendations) - Start at minute 30
        self.scheduler.add_job(
            self.generate_waste_reduction_recommendations,
            CronTrigger(minute='30'),  # Offset to avoid conflicts
            id='waste_reduction_recs',
            misfire_grace_time=300,
            max_instances=1
        )

        # Expired batch detection - daily at 6:00 AM (alerts and automated processing)
        self.scheduler.add_job(
            self.check_and_process_expired_batches,
            CronTrigger(hour=6, minute=0),  # Daily at 6:00 AM
            id='expired_batch_processing',
            misfire_grace_time=1800,  # 30 minute grace time
            max_instances=1
        )
        
        logger.info("Inventory alert schedules configured", 
                   service=self.config.SERVICE_NAME)
    
    async def check_stock_levels(self):
        """Batch check all stock levels for critical shortages (alerts)"""
        try:
            self._checks_performed += 1
            
            query = """
                WITH stock_analysis AS (
                    SELECT 
                        i.id, i.name, i.tenant_id,
                        COALESCE(SUM(s.current_quantity), 0) as current_stock,
                        i.low_stock_threshold as minimum_stock,
                        i.max_stock_level as maximum_stock,
                        i.reorder_point,
                        0 as tomorrow_needed,
                        0 as avg_daily_usage,
                        7 as lead_time_days,
                        CASE 
                            WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold THEN 'critical'
                            WHEN COALESCE(SUM(s.current_quantity), 0) < i.low_stock_threshold * 1.2 THEN 'low'
                            WHEN i.max_stock_level IS NOT NULL AND COALESCE(SUM(s.current_quantity), 0) > i.max_stock_level THEN 'overstock'
                            ELSE 'normal'
                        END as status,
                        GREATEST(0, i.low_stock_threshold - COALESCE(SUM(s.current_quantity), 0)) as shortage_amount
                    FROM ingredients i
                    LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
                    WHERE i.tenant_id = :tenant_id AND i.is_active = true
                    GROUP BY i.id, i.name, i.tenant_id, i.low_stock_threshold, i.max_stock_level, i.reorder_point
                )
                SELECT * FROM stock_analysis WHERE status != 'normal'
                ORDER BY 
                    CASE status 
                        WHEN 'critical' THEN 1 
                        WHEN 'low' THEN 2 
                        WHEN 'overstock' THEN 3 
                    END,
                    shortage_amount DESC
            """
            
            tenants = await self.get_active_tenants()
            
            for tenant_id in tenants:
                try:
                    # Add timeout to prevent hanging connections  
                    async with asyncio.timeout(30):  # 30 second timeout
                        async with self.db_manager.get_background_session() as session:
                            result = await session.execute(text(query), {"tenant_id": tenant_id})
                            issues = result.fetchall()
                    
                    for issue in issues:
                        # Convert SQLAlchemy Row to dictionary for easier access
                        issue_dict = dict(issue._mapping) if hasattr(issue, '_mapping') else dict(issue)
                        await self._process_stock_issue(tenant_id, issue_dict)
                        
                except Exception as e:
                    logger.error("Error checking stock for tenant", 
                               tenant_id=str(tenant_id), 
                               error=str(e))
                    
            logger.debug("Stock level check completed", 
                        tenants_checked=len(tenants))
                        
        except Exception as e:
            logger.error("Stock level check failed", error=str(e))
            self._errors_count += 1
    
    async def _process_stock_issue(self, tenant_id: UUID, issue: Dict[str, Any]):
        """Process individual stock issue"""
        try:
            if issue['status'] == 'critical':
                # Critical stock shortage - immediate alert
                template_data = self.format_spanish_message(
                    'critical_stock_shortage',
                    ingredient_name=issue["name"],
                    current_stock=issue["current_stock"],
                    required_stock=issue["tomorrow_needed"] or issue["minimum_stock"],
                    shortage_amount=issue["shortage_amount"]
                )
                
                await self.publish_item(tenant_id, {
                    'type': 'critical_stock_shortage',
                    'severity': 'urgent',
                    'title': template_data['title'],
                    'message': template_data['message'],
                    'actions': template_data['actions'],
                    'metadata': {
                        'ingredient_id': str(issue['id']),
                        'current_stock': float(issue['current_stock']),
                        'minimum_stock': float(issue['minimum_stock']),
                        'shortage_amount': float(issue['shortage_amount']),
                        'tomorrow_needed': float(issue['tomorrow_needed'] or 0),
                        'lead_time_days': issue['lead_time_days']
                    }
                }, item_type='alert')
                
            elif issue['status'] == 'low':
                # Low stock - high priority alert
                template_data = self.format_spanish_message(
                    'critical_stock_shortage',
                    ingredient_name=issue["name"],
                    current_stock=issue["current_stock"],
                    required_stock=issue["minimum_stock"]
                )
                
                severity = self.get_business_hours_severity('high')
                
                await self.publish_item(tenant_id, {
                    'type': 'low_stock_warning',
                    'severity': severity,
                    'title': f'⚠️ Stock Bajo: {issue["name"]}',
                    'message': f'Stock actual {issue["current_stock"]}kg, mínimo {issue["minimum_stock"]}kg. Considerar pedido pronto.',
                    'actions': ['Revisar consumo', 'Programar pedido', 'Contactar proveedor'],
                    'metadata': {
                        'ingredient_id': str(issue['id']),
                        'current_stock': float(issue['current_stock']),
                        'minimum_stock': float(issue['minimum_stock'])
                    }
                }, item_type='alert')
                
            elif issue['status'] == 'overstock':
                # Overstock - medium priority alert
                severity = self.get_business_hours_severity('medium')
                
                await self.publish_item(tenant_id, {
                    'type': 'overstock_warning',
                    'severity': severity,
                    'title': f'📦 Exceso de Stock: {issue["name"]}',
                    'message': f'Stock actual {issue["current_stock"]}kg excede máximo {issue["maximum_stock"]}kg. Revisar para evitar caducidad.',
                    'actions': ['Revisar caducidades', 'Aumentar producción', 'Ofertas especiales', 'Ajustar pedidos'],
                    'metadata': {
                        'ingredient_id': str(issue['id']),
                        'current_stock': float(issue['current_stock']),
                        'maximum_stock': float(issue['maximum_stock'])
                    }
                }, item_type='alert')
                
        except Exception as e:
            logger.error("Error processing stock issue", 
                       ingredient_id=str(issue.get('id')), 
                       error=str(e))
    
    async def check_expiring_products(self):
        """Check for products approaching expiry (alerts)"""
        try:
            self._checks_performed += 1
            
            query = """
                SELECT 
                    i.id, i.name, i.tenant_id,
                    s.id as stock_id, s.expiration_date, s.current_quantity,
                    EXTRACT(days FROM (s.expiration_date - CURRENT_DATE)) as days_to_expiry
                FROM ingredients i
                JOIN stock s ON s.ingredient_id = i.id
                WHERE s.expiration_date <= CURRENT_DATE + INTERVAL '7 days'
                AND s.current_quantity > 0
                AND s.is_available = true
                AND s.expiration_date IS NOT NULL
                ORDER BY s.expiration_date ASC
            """
            
            # Add timeout to prevent hanging connections
            async with asyncio.timeout(30):  # 30 second timeout
                async with self.db_manager.get_background_session() as session:
                    result = await session.execute(text(query))
                    expiring_items = result.fetchall()
            
            # Group by tenant
            by_tenant = {}
            for item in expiring_items:
                # Convert SQLAlchemy Row to dictionary for easier access
                item_dict = dict(item._mapping) if hasattr(item, '_mapping') else dict(item)
                tenant_id = item_dict['tenant_id']
                if tenant_id not in by_tenant:
                    by_tenant[tenant_id] = []
                by_tenant[tenant_id].append(item_dict)
            
            for tenant_id, items in by_tenant.items():
                await self._process_expiring_items(tenant_id, items)
                
        except Exception as e:
            logger.error("Expiry check failed", error=str(e))
            self._errors_count += 1
    
    async def _process_expiring_items(self, tenant_id: UUID, items: List[Dict[str, Any]]):
        """Process expiring items for a tenant"""
        try:
            # Group by urgency
            expired = [i for i in items if i['days_to_expiry'] <= 0]
            urgent = [i for i in items if 0 < i['days_to_expiry'] <= 2]
            warning = [i for i in items if 2 < i['days_to_expiry'] <= 7]
            
            # Process expired products (urgent alerts)
            if expired:
                product_count = len(expired)
                product_names = [i['name'] for i in expired[:3]]  # First 3 names
                if len(expired) > 3:
                    product_names.append(f"y {len(expired) - 3} más")
                
                template_data = self.format_spanish_message(
                    'expired_products',
                    product_count=product_count,
                    product_names=", ".join(product_names)
                )
                
                await self.publish_item(tenant_id, {
                    'type': 'expired_products',
                    'severity': 'urgent',
                    'title': template_data['title'],
                    'message': template_data['message'],
                    'actions': template_data['actions'],
                    'metadata': {
                        'expired_items': [
                            {
                                'id': str(item['id']),
                                'name': item['name'],
                                'stock_id': str(item['stock_id']),
                                'quantity': float(item['current_quantity']),
                                'days_expired': abs(item['days_to_expiry'])
                            } for item in expired
                        ]
                    }
                }, item_type='alert')
            
            # Process urgent expiry (high alerts)
            if urgent:
                for item in urgent:
                    await self.publish_item(tenant_id, {
                        'type': 'urgent_expiry',
                        'severity': 'high',
                        'title': f'⏰ Caducidad Urgente: {item["name"]}',
                        'message': f'{item["name"]} caduca en {item["days_to_expiry"]} día(s). Usar prioritariamente.',
                        'actions': ['Usar inmediatamente', 'Promoción especial', 'Revisar recetas', 'Documentar'],
                        'metadata': {
                            'ingredient_id': str(item['id']),
                            'stock_id': str(item['stock_id']),
                            'days_to_expiry': item['days_to_expiry'],
                            'quantity': float(item['current_quantity'])
                        }
                    }, item_type='alert')
            
        except Exception as e:
            logger.error("Error processing expiring items", 
                       tenant_id=str(tenant_id), 
                       error=str(e))
    
    async def check_temperature_breaches(self):
        """Check for temperature breaches (alerts)"""
        try:
            self._checks_performed += 1
            
            query = """
                SELECT 
                    t.id, t.equipment_id as sensor_id, t.storage_location as location, 
                    t.temperature_celsius as temperature, 
                    t.target_temperature_max as max_threshold, t.tenant_id,
                    COALESCE(t.deviation_minutes, 0) as breach_duration_minutes
                FROM temperature_logs t
                WHERE t.temperature_celsius > COALESCE(t.target_temperature_max, 25)
                AND NOT t.is_within_range
                AND COALESCE(t.deviation_minutes, 0) >= 30  -- Only after 30 minutes
                AND (t.recorded_at < NOW() - INTERVAL '15 minutes' OR t.alert_triggered = false)  -- Avoid spam
                ORDER BY t.temperature_celsius DESC, t.deviation_minutes DESC
            """
            
            # Add timeout to prevent hanging connections
            async with asyncio.timeout(30):  # 30 second timeout
                async with self.db_manager.get_background_session() as session:
                    result = await session.execute(text(query))
                    breaches = result.fetchall()
            
            for breach in breaches:
                # Convert SQLAlchemy Row to dictionary for easier access
                breach_dict = dict(breach._mapping) if hasattr(breach, '_mapping') else dict(breach)
                await self._process_temperature_breach(breach_dict)
                
        except Exception as e:
            logger.error("Temperature check failed", error=str(e))
            self._errors_count += 1
    
    async def _process_temperature_breach(self, breach: Dict[str, Any]):
        """Process temperature breach"""
        try:
            # Determine severity based on duration and temperature
            duration_minutes = breach['breach_duration_minutes']
            temp_excess = breach['temperature'] - breach['max_threshold']
            
            if duration_minutes > 120 or temp_excess > 10:
                severity = 'urgent'
            elif duration_minutes > 60 or temp_excess > 5:
                severity = 'high'
            else:
                severity = 'medium'
            
            template_data = self.format_spanish_message(
                'temperature_breach',
                location=breach['location'],
                temperature=breach['temperature'],
                duration=duration_minutes
            )
            
            await self.publish_item(breach['tenant_id'], {
                'type': 'temperature_breach',
                'severity': severity,
                'title': template_data['title'],
                'message': template_data['message'],
                'actions': template_data['actions'],
                'metadata': {
                    'sensor_id': breach['sensor_id'],
                    'location': breach['location'],
                    'temperature': float(breach['temperature']),
                    'max_threshold': float(breach['max_threshold']),
                    'duration_minutes': duration_minutes,
                    'temperature_excess': temp_excess
                }
            }, item_type='alert')
            
            # Update alert triggered flag to avoid spam
            # Add timeout to prevent hanging connections
            async with asyncio.timeout(10):  # 10 second timeout for simple update
                async with self.db_manager.get_background_session() as session:
                    await session.execute(
                        text("UPDATE temperature_logs SET alert_triggered = true WHERE id = :id"),
                        {"id": breach['id']}
                    )
            
        except Exception as e:
            logger.error("Error processing temperature breach", 
                       sensor_id=breach.get('sensor_id'), 
                       error=str(e))
    
    async def generate_inventory_recommendations(self):
        """Generate optimization recommendations based on usage patterns"""
        try:
            self._checks_performed += 1
            
            # Analyze stock levels vs usage patterns
            query = """
                WITH usage_analysis AS (
                    SELECT 
                        i.id, i.name, i.tenant_id, 
                        i.low_stock_threshold as minimum_stock, 
                        i.max_stock_level as maximum_stock,
                        COALESCE(SUM(s.current_quantity), 0) as current_stock,
                        AVG(sm.quantity) FILTER (WHERE sm.movement_type = 'production_use' 
                            AND sm.created_at > CURRENT_DATE - INTERVAL '30 days') as avg_daily_usage,
                        COUNT(sm.id) FILTER (WHERE sm.movement_type = 'production_use' 
                            AND sm.created_at > CURRENT_DATE - INTERVAL '30 days') as usage_days,
                        MAX(sm.created_at) FILTER (WHERE sm.movement_type = 'production_use') as last_used
                    FROM ingredients i
                    LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
                    LEFT JOIN stock_movements sm ON sm.ingredient_id = i.id
                    WHERE i.is_active = true AND i.tenant_id = :tenant_id
                    GROUP BY i.id, i.name, i.tenant_id, i.low_stock_threshold, i.max_stock_level
                    HAVING COUNT(sm.id) FILTER (WHERE sm.movement_type = 'production_use' 
                        AND sm.created_at > CURRENT_DATE - INTERVAL '30 days') >= 3
                ),
                recommendations AS (
                    SELECT *,
                        CASE 
                            WHEN avg_daily_usage * 7 > maximum_stock AND maximum_stock IS NOT NULL THEN 'increase_max'
                            WHEN avg_daily_usage * 3 < minimum_stock THEN 'decrease_min'
                            WHEN current_stock / NULLIF(avg_daily_usage, 0) > 14 THEN 'reduce_stock'
                            WHEN avg_daily_usage > 0 AND minimum_stock / avg_daily_usage < 3 THEN 'increase_min'
                            ELSE null
                        END as recommendation_type
                    FROM usage_analysis
                    WHERE avg_daily_usage > 0
                )
                SELECT * FROM recommendations WHERE recommendation_type IS NOT NULL
                ORDER BY avg_daily_usage DESC
            """
            
            tenants = await self.get_active_tenants()
            
            for tenant_id in tenants:
                try:
                    from sqlalchemy import text
                    # Add timeout to prevent hanging connections
                    async with asyncio.timeout(30):  # 30 second timeout
                        async with self.db_manager.get_background_session() as session:
                            result = await session.execute(text(query), {"tenant_id": tenant_id})
                        recommendations = result.fetchall()
                    
                    for rec in recommendations:
                        # Convert SQLAlchemy Row to dictionary for easier access
                        rec_dict = dict(rec._mapping) if hasattr(rec, '_mapping') else dict(rec)
                        await self._generate_stock_recommendation(tenant_id, rec_dict)
                        
                except Exception as e:
                    logger.error("Error generating recommendations for tenant", 
                               tenant_id=str(tenant_id), 
                               error=str(e))
                    
        except Exception as e:
            logger.error("Inventory recommendations failed", error=str(e))
            self._errors_count += 1
    
    async def _generate_stock_recommendation(self, tenant_id: UUID, rec: Dict[str, Any]):
        """Generate specific stock recommendation"""
        try:
            if not self.should_send_recommendation(tenant_id, rec['recommendation_type']):
                return
            
            rec_type = rec['recommendation_type']
            
            if rec_type == 'increase_max':
                suggested_max = rec['avg_daily_usage'] * 10  # 10 days supply
                template_data = self.format_spanish_message(
                    'inventory_optimization',
                    ingredient_name=rec['name'],
                    period=30,
                    suggested_increase=suggested_max - rec['maximum_stock']
                )
                
                await self.publish_item(tenant_id, {
                    'type': 'inventory_optimization',
                    'severity': 'medium',
                    'title': template_data['title'],
                    'message': template_data['message'],
                    'actions': template_data['actions'],
                    'metadata': {
                        'ingredient_id': str(rec['id']),
                        'current_max': float(rec['maximum_stock']),
                        'suggested_max': float(suggested_max),
                        'avg_daily_usage': float(rec['avg_daily_usage']),
                        'recommendation_type': rec_type
                    }
                }, item_type='recommendation')
                
            elif rec_type == 'decrease_min':
                suggested_min = rec['avg_daily_usage'] * 3  # 3 days safety stock
                
                await self.publish_item(tenant_id, {
                    'type': 'inventory_optimization',
                    'severity': 'low',
                    'title': f'📉 Optimización de Stock Mínimo: {rec["name"]}',
                    'message': f'Uso promedio sugiere reducir stock mínimo de {rec["minimum_stock"]}kg a {suggested_min:.1f}kg.',
                    'actions': ['Revisar niveles mínimos', 'Analizar tendencias', 'Ajustar configuración'],
                    'metadata': {
                        'ingredient_id': str(rec['id']),
                        'current_min': float(rec['minimum_stock']),
                        'suggested_min': float(suggested_min),
                        'avg_daily_usage': float(rec['avg_daily_usage']),
                        'recommendation_type': rec_type
                    }
                }, item_type='recommendation')
                
        except Exception as e:
            logger.error("Error generating stock recommendation", 
                       ingredient_id=str(rec.get('id')), 
                       error=str(e))
    
    async def generate_waste_reduction_recommendations(self):
        """Generate waste reduction recommendations"""
        try:
            # Analyze waste patterns from stock movements
            query = """
                SELECT 
                    i.id, i.name, i.tenant_id,
                    SUM(sm.quantity) as total_waste_30d,
                    COUNT(sm.id) as waste_incidents,
                    AVG(sm.quantity) as avg_waste_per_incident,
                    COALESCE(sm.reason_code, 'unknown') as waste_reason
                FROM ingredients i
                JOIN stock_movements sm ON sm.ingredient_id = i.id
                WHERE sm.movement_type = 'waste'
                AND sm.created_at > CURRENT_DATE - INTERVAL '30 days'
                AND i.tenant_id = :tenant_id
                GROUP BY i.id, i.name, i.tenant_id, sm.reason_code
                HAVING SUM(sm.quantity) > 5  -- More than 5kg wasted
                ORDER BY total_waste_30d DESC
            """
            
            tenants = await self.get_active_tenants()
            
            for tenant_id in tenants:
                try:
                    from sqlalchemy import text
                    # Add timeout to prevent hanging connections
                    async with asyncio.timeout(30):  # 30 second timeout
                        async with self.db_manager.get_background_session() as session:
                            result = await session.execute(text(query), {"tenant_id": tenant_id})
                        waste_data = result.fetchall()
                    
                    for waste in waste_data:
                        # Convert SQLAlchemy Row to dictionary for easier access
                        waste_dict = dict(waste._mapping) if hasattr(waste, '_mapping') else dict(waste)
                        await self._generate_waste_recommendation(tenant_id, waste_dict)
                        
                except Exception as e:
                    logger.error("Error generating waste recommendations", 
                               tenant_id=str(tenant_id), 
                               error=str(e))
                    
        except Exception as e:
            logger.error("Waste reduction recommendations failed", error=str(e))
            self._errors_count += 1
    
    async def _generate_waste_recommendation(self, tenant_id: UUID, waste: Dict[str, Any]):
        """Generate waste reduction recommendation"""
        try:
            waste_percentage = (waste['total_waste_30d'] / (waste['total_waste_30d'] + 100)) * 100  # Simplified calculation
            
            template_data = self.format_spanish_message(
                'waste_reduction',
                product=waste['name'],
                waste_reduction_percent=waste_percentage
            )
            
            await self.publish_item(tenant_id, {
                'type': 'waste_reduction',
                'severity': 'low',
                'title': template_data['title'],
                'message': template_data['message'],
                'actions': template_data['actions'],
                'metadata': {
                    'ingredient_id': str(waste['id']),
                    'total_waste_30d': float(waste['total_waste_30d']),
                    'waste_incidents': waste['waste_incidents'],
                    'waste_reason': waste['waste_reason'],
                    'estimated_reduction_percent': waste_percentage
                }
            }, item_type='recommendation')
            
        except Exception as e:
            logger.error("Error generating waste recommendation", 
                       ingredient_id=str(waste.get('id')), 
                       error=str(e))
    
    async def register_db_listeners(self, conn):
        """Register inventory-specific database listeners"""
        try:
            await conn.add_listener('stock_alerts', self.handle_stock_db_alert)
            await conn.add_listener('temperature_alerts', self.handle_temperature_db_alert)
            
            logger.info("Database listeners registered", 
                       service=self.config.SERVICE_NAME)
        except Exception as e:
            logger.error("Failed to register database listeners", 
                        service=self.config.SERVICE_NAME, 
                        error=str(e))
    
    async def handle_stock_db_alert(self, connection, pid, channel, payload):
        """Handle stock alert from database trigger"""
        try:
            data = json.loads(payload)
            tenant_id = UUID(data['tenant_id'])
            
            template_data = self.format_spanish_message(
                'critical_stock_shortage',
                ingredient_name=data['name'],
                current_stock=data['current_stock'],
                required_stock=data['minimum_stock']
            )
            
            await self.publish_item(tenant_id, {
                'type': 'critical_stock_shortage',
                'severity': 'urgent',
                'title': template_data['title'],
                'message': template_data['message'],
                'actions': template_data['actions'],
                'metadata': {
                    'ingredient_id': data['ingredient_id'],
                    'current_stock': data['current_stock'],
                    'minimum_stock': data['minimum_stock'],
                    'trigger_source': 'database'
                }
            }, item_type='alert')
            
        except Exception as e:
            logger.error("Error handling stock DB alert", error=str(e))
    
    async def handle_temperature_db_alert(self, connection, pid, channel, payload):
        """Handle temperature alert from database trigger"""
        try:
            data = json.loads(payload)
            tenant_id = UUID(data['tenant_id'])
            
            template_data = self.format_spanish_message(
                'temperature_breach',
                location=data['location'],
                temperature=data['temperature'],
                duration=data['duration']
            )
            
            await self.publish_item(tenant_id, {
                'type': 'temperature_breach',
                'severity': 'high',
                'title': template_data['title'],
                'message': template_data['message'],
                'actions': template_data['actions'],
                'metadata': {
                    'sensor_id': data['sensor_id'],
                    'location': data['location'],
                    'temperature': data['temperature'],
                    'duration': data['duration'],
                    'trigger_source': 'database'
                }
            }, item_type='alert')
            
        except Exception as e:
            logger.error("Error handling temperature DB alert", error=str(e))
    
    async def start_event_listener(self):
        """Listen for inventory-affecting events"""
        try:
            # Subscribe to order events that might affect inventory
            await self.rabbitmq_client.consume_events(
                "bakery_events",
                f"inventory.orders.{self.config.SERVICE_NAME}",
                "orders.placed",
                self.handle_order_placed
            )
            
            logger.info("Event listeners started", 
                       service=self.config.SERVICE_NAME)
        except Exception as e:
            logger.error("Failed to start event listeners", 
                        service=self.config.SERVICE_NAME, 
                        error=str(e))
    
    async def handle_order_placed(self, message):
        """Check if order critically affects stock"""
        try:
            order = json.loads(message.body)
            tenant_id = UUID(order['tenant_id'])
            
            for item in order.get('items', []):
                # Check stock impact
                stock_info = await self.get_stock_after_order(item['ingredient_id'], item['quantity'])
                
                if stock_info and stock_info['remaining'] < stock_info['minimum_stock']:
                    await self.publish_item(tenant_id, {
                        'type': 'stock_depleted_by_order',
                        'severity': 'high',
                        'title': f'⚠️ Pedido Agota Stock: {stock_info["name"]}',
                        'message': f'Pedido #{order["id"]} dejará stock en {stock_info["remaining"]}kg (mínimo {stock_info["minimum_stock"]}kg)',
                        'actions': ['Revisar pedido', 'Contactar proveedor', 'Ajustar producción', 'Usar stock reserva'],
                        'metadata': {
                            'order_id': order['id'],
                            'ingredient_id': item['ingredient_id'],
                            'order_quantity': item['quantity'],
                            'remaining_stock': stock_info['remaining'],
                            'minimum_stock': stock_info['minimum_stock']
                        }
                    }, item_type='alert')
                    
        except Exception as e:
            logger.error("Error handling order placed event", error=str(e))
    
    async def get_active_tenants(self) -> List[UUID]:
        """Get list of active tenant IDs from ingredients table (inventory service specific)"""
        try:
            query = text("SELECT DISTINCT tenant_id FROM ingredients WHERE is_active = true")
            # Add timeout to prevent hanging connections
            async with asyncio.timeout(10):  # 10 second timeout
                async with self.db_manager.get_background_session() as session:
                    result = await session.execute(query)
                    # Handle PostgreSQL UUID objects properly
                    tenant_ids = []
                    for row in result.fetchall():
                        tenant_id = row.tenant_id
                        # Convert to UUID if it's not already
                        if isinstance(tenant_id, UUID):
                            tenant_ids.append(tenant_id)
                        else:
                            tenant_ids.append(UUID(str(tenant_id)))
                    return tenant_ids
        except Exception as e:
            logger.error("Error fetching active tenants from ingredients", error=str(e))
            return []

    async def get_stock_after_order(self, ingredient_id: str, order_quantity: float) -> Optional[Dict[str, Any]]:
        """Get stock information after hypothetical order"""
        try:
            query = """
                SELECT i.id, i.name, 
                       COALESCE(SUM(s.current_quantity), 0) as current_stock, 
                       i.low_stock_threshold as minimum_stock,
                       (COALESCE(SUM(s.current_quantity), 0) - :order_quantity) as remaining
                FROM ingredients i 
                LEFT JOIN stock s ON s.ingredient_id = i.id AND s.is_available = true
                WHERE i.id = :ingredient_id
                GROUP BY i.id, i.name, i.low_stock_threshold
            """
            
            # Add timeout to prevent hanging connections
            async with asyncio.timeout(10):  # 10 second timeout
                async with self.db_manager.get_background_session() as session:
                    result = await session.execute(text(query), {"ingredient_id": ingredient_id, "order_quantity": order_quantity})
                    row = result.fetchone()
                    return dict(row) if row else None
            
        except Exception as e:
            logger.error("Error getting stock after order", 
                       ingredient_id=ingredient_id, 
                       error=str(e))
            return None

    async def check_and_process_expired_batches(self):
        """Daily check and automated processing of expired stock batches"""
        try:
            self._checks_performed += 1

            # Use existing method to get active tenants from ingredients table
            tenants = await self.get_active_tenants()

            if not tenants:
                logger.info("No active tenants found")
                return

            total_processed = 0
            for tenant_id in tenants:
                try:
                    # Get expired batches for each tenant
                    async with self.db_manager.get_background_session() as session:
                        stock_repo = StockRepository(session)
                        expired_batches = await stock_repo.get_expired_batches_for_processing(tenant_id)

                    if expired_batches:
                        processed_count = await self._process_expired_batches_for_tenant(tenant_id, expired_batches)
                        total_processed += processed_count

                except Exception as e:
                    logger.error("Error processing expired batches for tenant",
                               tenant_id=str(tenant_id),
                               error=str(e))

            logger.info("Expired batch processing completed",
                       total_processed=total_processed,
                       tenants_processed=len(tenants))

        except Exception as e:
            logger.error("Expired batch processing failed", error=str(e))
            self._errors_count += 1

    async def _process_expired_batches_for_tenant(self, tenant_id: UUID, batches: List[tuple]) -> int:
        """Process expired batches for a specific tenant"""
        processed_count = 0
        processed_batches = []

        try:
            for stock, ingredient in batches:
                try:
                    # Process each batch individually with its own transaction
                    await self._process_single_expired_batch(tenant_id, stock, ingredient)
                    processed_count += 1
                    processed_batches.append((stock, ingredient))

                except Exception as e:
                    logger.error("Error processing individual expired batch",
                               tenant_id=str(tenant_id),
                               stock_id=str(stock.id),
                               batch_number=stock.batch_number,
                               error=str(e))

            # Generate summary alert for the tenant if any batches were processed
            if processed_count > 0:
                await self._generate_expired_batch_summary_alert(tenant_id, processed_batches)

        except Exception as e:
            logger.error("Error processing expired batches for tenant",
                       tenant_id=str(tenant_id),
                       error=str(e))

        return processed_count

    async def _process_single_expired_batch(self, tenant_id: UUID, stock, ingredient):
        """Process a single expired batch: mark as expired, create waste movement, update stock"""
        async with self.db_manager.get_background_session() as session:
            async with session.begin():  # Use transaction for consistency
                try:
                    stock_repo = StockRepository(session)
                    movement_repo = StockMovementRepository(session)

                    # Calculate effective expiration date
                    effective_expiration_date = stock.final_expiration_date or stock.expiration_date

                    # 1. Mark the stock batch as expired
                    await stock_repo.mark_batch_as_expired(stock.id, tenant_id)

                    # 2. Create waste stock movement
                    await movement_repo.create_automatic_waste_movement(
                        tenant_id=tenant_id,
                        ingredient_id=stock.ingredient_id,
                        stock_id=stock.id,
                        quantity=stock.current_quantity,
                        unit_cost=float(stock.unit_cost) if stock.unit_cost else None,
                        batch_number=stock.batch_number,
                        expiration_date=effective_expiration_date,
                        created_by=None  # Automatic system operation
                    )

                    # 3. Update the stock quantity to 0 (moved to waste)
                    await stock_repo.update_stock_to_zero(stock.id, tenant_id)

                    # Calculate days expired
                    days_expired = (datetime.now().date() - effective_expiration_date.date()).days if effective_expiration_date else 0

                    logger.info("Expired batch processed successfully",
                              tenant_id=str(tenant_id),
                              stock_id=str(stock.id),
                              ingredient_name=ingredient.name,
                              batch_number=stock.batch_number,
                              quantity_wasted=stock.current_quantity,
                              days_expired=days_expired)

                except Exception as e:
                    logger.error("Error in expired batch transaction",
                               stock_id=str(stock.id),
                               error=str(e))
                    raise  # Re-raise to trigger rollback

    async def _generate_expired_batch_summary_alert(self, tenant_id: UUID, processed_batches: List[tuple]):
        """Generate summary alert for automatically processed expired batches"""
        try:
            total_batches = len(processed_batches)
            total_quantity = sum(float(stock.current_quantity) for stock, ingredient in processed_batches)

            # Get the most affected ingredients (top 3)
            ingredient_summary = {}
            for stock, ingredient in processed_batches:
                ingredient_name = ingredient.name
                if ingredient_name not in ingredient_summary:
                    ingredient_summary[ingredient_name] = {
                        'quantity': 0,
                        'batches': 0,
                        'unit': ingredient.unit_of_measure.value if ingredient.unit_of_measure else 'kg'
                    }
                ingredient_summary[ingredient_name]['quantity'] += float(stock.current_quantity)
                ingredient_summary[ingredient_name]['batches'] += 1

            # Sort by quantity and get top 3
            top_ingredients = sorted(ingredient_summary.items(),
                                   key=lambda x: x[1]['quantity'],
                                   reverse=True)[:3]

            # Build ingredient list for message
            ingredient_list = []
            for name, info in top_ingredients:
                ingredient_list.append(f"{name} ({info['quantity']:.1f}{info['unit']}, {info['batches']} lote{'s' if info['batches'] > 1 else ''})")

            remaining_count = total_batches - sum(info['batches'] for _, info in top_ingredients)
            if remaining_count > 0:
                ingredient_list.append(f"y {remaining_count} lote{'s' if remaining_count > 1 else ''} más")

            # Create alert message
            title = f"🗑️ Lotes Caducados Procesados Automáticamente"
            message = (
                f"Se han procesado automáticamente {total_batches} lote{'s' if total_batches > 1 else ''} "
                f"caducado{'s' if total_batches > 1 else ''} ({total_quantity:.1f}kg total) y se ha{'n' if total_batches > 1 else ''} "
                f"movido automáticamente a desperdicio:\n\n"
                f"• {chr(10).join(ingredient_list)}\n\n"
                f"Los lotes han sido marcados como no disponibles y se han generado los movimientos de desperdicio correspondientes."
            )

            await self.publish_item(tenant_id, {
                'type': 'expired_batches_auto_processed',
                'severity': 'medium',
                'title': title,
                'message': message,
                'actions': [
                    'Revisar movimientos de desperdicio',
                    'Analizar causas de caducidad',
                    'Ajustar niveles de stock',
                    'Revisar rotación de inventario'
                ],
                'metadata': {
                    'total_batches_processed': total_batches,
                    'total_quantity_wasted': total_quantity,
                    'processing_date': datetime.now(timezone.utc).isoformat(),
                    'affected_ingredients': [
                        {
                            'name': name,
                            'quantity_wasted': info['quantity'],
                            'batches_count': info['batches'],
                            'unit': info['unit']
                        } for name, info in ingredient_summary.items()
                    ],
                    'automation_source': 'daily_expired_batch_check'
                }
            }, item_type='alert')

        except Exception as e:
            logger.error("Error generating expired batch summary alert",
                       tenant_id=str(tenant_id),
                       error=str(e))