Add new alert architecture
This commit is contained in:
Urtzi Alfaro
@@ -14,6 +14,7 @@ import structlog
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from app.core.config import settings
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from app.core.database import init_db, close_db
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from app.api import ingredients, stock, classification
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from app.services.inventory_alert_service import InventoryAlertService
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from shared.monitoring.health import router as health_router
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from shared.monitoring.metrics import setup_metrics_early
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# Auth decorators are used in endpoints, no global setup needed
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@@ -32,6 +33,14 @@ async def lifespan(app: FastAPI):
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await init_db()
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logger.info("Database initialized successfully")
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# Initialize alert service
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alert_service = InventoryAlertService(settings)
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await alert_service.start()
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logger.info("Inventory alert service started")
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# Store alert service in app state
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app.state.alert_service = alert_service
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# Setup metrics is already done early - no need to do it here
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logger.info("Metrics setup completed")
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@@ -44,6 +53,11 @@ async def lifespan(app: FastAPI):
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# Shutdown
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logger.info("Shutting down Inventory Service")
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try:
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# Stop alert service
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if hasattr(app.state, 'alert_service'):
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await app.state.alert_service.stop()
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logger.info("Alert service stopped")
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await close_db()
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logger.info("Database connections closed")
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except Exception as e:
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710
services/inventory/app/services/inventory_alert_service.py
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710
services/inventory/app/services/inventory_alert_service.py
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@@ -0,0 +1,710 @@
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# services/inventory/app/services/inventory_alert_service.py
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"""
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Inventory-specific alert and recommendation detection service
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Implements hybrid detection patterns for critical stock issues and optimization opportunities
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"""
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import asyncio
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import json
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from typing import List, Dict, Any, Optional
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from uuid import UUID
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from datetime import datetime, timedelta
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import structlog
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from apscheduler.triggers.cron import CronTrigger
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from shared.alerts.base_service import BaseAlertService, AlertServiceMixin
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from shared.alerts.templates import format_item_message
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logger = structlog.get_logger()
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class InventoryAlertService(BaseAlertService, AlertServiceMixin):
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"""Inventory service alert and recommendation detection"""
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def setup_scheduled_checks(self):
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"""Inventory-specific scheduled checks for alerts and recommendations"""
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# Critical stock checks - every 5 minutes (alerts)
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self.scheduler.add_job(
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self.check_stock_levels,
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CronTrigger(minute='*/5'),
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id='stock_levels',
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misfire_grace_time=30,
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max_instances=1
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)
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# Expiry checks - every 2 minutes (food safety critical, alerts)
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self.scheduler.add_job(
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self.check_expiring_products,
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CronTrigger(minute='*/2'),
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id='expiry_check',
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misfire_grace_time=30,
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max_instances=1
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)
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# Temperature checks - every 2 minutes (alerts)
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self.scheduler.add_job(
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self.check_temperature_breaches,
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CronTrigger(minute='*/2'),
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id='temperature_check',
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misfire_grace_time=30,
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max_instances=1
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)
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# Inventory optimization - every 30 minutes (recommendations)
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self.scheduler.add_job(
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self.generate_inventory_recommendations,
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CronTrigger(minute='*/30'),
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id='inventory_recs',
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misfire_grace_time=120,
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max_instances=1
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)
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# Waste reduction analysis - every hour (recommendations)
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self.scheduler.add_job(
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self.generate_waste_reduction_recommendations,
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CronTrigger(minute='0'),
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id='waste_reduction_recs',
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misfire_grace_time=300,
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max_instances=1
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)
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logger.info("Inventory alert schedules configured",
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service=self.config.SERVICE_NAME)
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async def check_stock_levels(self):
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"""Batch check all stock levels for critical shortages (alerts)"""
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try:
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self._checks_performed += 1
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query = """
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WITH stock_analysis AS (
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SELECT
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i.*,
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COALESCE(p.scheduled_quantity, 0) as tomorrow_needed,
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COALESCE(s.avg_daily_usage, 0) as avg_daily_usage,
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COALESCE(s.lead_time_days, 7) as lead_time_days,
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CASE
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WHEN i.current_stock < i.minimum_stock THEN 'critical'
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WHEN i.current_stock < i.minimum_stock * 1.2 THEN 'low'
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WHEN i.current_stock > i.maximum_stock THEN 'overstock'
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ELSE 'normal'
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END as status,
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GREATEST(0, i.minimum_stock - i.current_stock) as shortage_amount
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FROM inventory_items i
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LEFT JOIN production_schedule p ON p.ingredient_id = i.id
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AND p.date = CURRENT_DATE + INTERVAL '1 day'
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LEFT JOIN supplier_items s ON s.ingredient_id = i.id
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WHERE i.tenant_id = $1 AND i.active = true
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)
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SELECT * FROM stock_analysis WHERE status != 'normal'
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ORDER BY
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CASE status
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WHEN 'critical' THEN 1
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WHEN 'low' THEN 2
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WHEN 'overstock' THEN 3
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END,
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shortage_amount DESC
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"""
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tenants = await self.get_active_tenants()
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for tenant_id in tenants:
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try:
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from sqlalchemy import text
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async with self.db_manager.get_session() as session:
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result = await session.execute(text(query), {"tenant_id": tenant_id})
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issues = result.fetchall()
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for issue in issues:
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await self._process_stock_issue(tenant_id, issue)
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except Exception as e:
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logger.error("Error checking stock for tenant",
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tenant_id=str(tenant_id),
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error=str(e))
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logger.debug("Stock level check completed",
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tenants_checked=len(tenants))
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except Exception as e:
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logger.error("Stock level check failed", error=str(e))
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self._errors_count += 1
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async def _process_stock_issue(self, tenant_id: UUID, issue: Dict[str, Any]):
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"""Process individual stock issue"""
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try:
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if issue['status'] == 'critical':
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# Critical stock shortage - immediate alert
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template_data = self.format_spanish_message(
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'critical_stock_shortage',
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ingredient_name=issue["name"],
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current_stock=issue["current_stock"],
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required_stock=issue["tomorrow_needed"] or issue["minimum_stock"],
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shortage_amount=issue["shortage_amount"]
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)
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await self.publish_item(tenant_id, {
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'type': 'critical_stock_shortage',
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'severity': 'urgent',
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'title': template_data['title'],
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'message': template_data['message'],
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'actions': template_data['actions'],
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'metadata': {
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'ingredient_id': str(issue['id']),
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'current_stock': float(issue['current_stock']),
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'minimum_stock': float(issue['minimum_stock']),
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'shortage_amount': float(issue['shortage_amount']),
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'tomorrow_needed': float(issue['tomorrow_needed'] or 0),
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'lead_time_days': issue['lead_time_days']
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}
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}, item_type='alert')
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elif issue['status'] == 'low':
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# Low stock - high priority alert
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template_data = self.format_spanish_message(
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'critical_stock_shortage',
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ingredient_name=issue["name"],
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current_stock=issue["current_stock"],
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required_stock=issue["minimum_stock"]
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)
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severity = self.get_business_hours_severity('high')
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await self.publish_item(tenant_id, {
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'type': 'low_stock_warning',
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'severity': severity,
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'title': f'⚠️ Stock Bajo: {issue["name"]}',
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'message': f'Stock actual {issue["current_stock"]}kg, mínimo {issue["minimum_stock"]}kg. Considerar pedido pronto.',
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'actions': ['Revisar consumo', 'Programar pedido', 'Contactar proveedor'],
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'metadata': {
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'ingredient_id': str(issue['id']),
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'current_stock': float(issue['current_stock']),
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'minimum_stock': float(issue['minimum_stock'])
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}
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}, item_type='alert')
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elif issue['status'] == 'overstock':
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# Overstock - medium priority alert
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severity = self.get_business_hours_severity('medium')
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await self.publish_item(tenant_id, {
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'type': 'overstock_warning',
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'severity': severity,
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'title': f'📦 Exceso de Stock: {issue["name"]}',
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'message': f'Stock actual {issue["current_stock"]}kg excede máximo {issue["maximum_stock"]}kg. Revisar para evitar caducidad.',
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'actions': ['Revisar caducidades', 'Aumentar producción', 'Ofertas especiales', 'Ajustar pedidos'],
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'metadata': {
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'ingredient_id': str(issue['id']),
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'current_stock': float(issue['current_stock']),
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'maximum_stock': float(issue['maximum_stock'])
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}
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}, item_type='alert')
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except Exception as e:
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logger.error("Error processing stock issue",
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ingredient_id=str(issue.get('id')),
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error=str(e))
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async def check_expiring_products(self):
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"""Check for products approaching expiry (alerts)"""
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try:
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self._checks_performed += 1
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query = """
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SELECT
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i.id, i.name, i.current_stock, i.tenant_id,
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b.id as batch_id, b.expiry_date, b.quantity,
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EXTRACT(days FROM (b.expiry_date - CURRENT_DATE)) as days_to_expiry
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FROM inventory_items i
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JOIN inventory_batches b ON b.ingredient_id = i.id
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WHERE b.expiry_date <= CURRENT_DATE + INTERVAL '7 days'
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AND b.quantity > 0
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AND b.status = 'active'
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ORDER BY b.expiry_date ASC
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"""
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from sqlalchemy import text
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async with self.db_manager.get_session() as session:
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result = await session.execute(text(query))
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expiring_items = result.fetchall()
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# Group by tenant
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by_tenant = {}
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for item in expiring_items:
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tenant_id = item['tenant_id']
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if tenant_id not in by_tenant:
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by_tenant[tenant_id] = []
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by_tenant[tenant_id].append(item)
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for tenant_id, items in by_tenant.items():
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await self._process_expiring_items(tenant_id, items)
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except Exception as e:
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logger.error("Expiry check failed", error=str(e))
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self._errors_count += 1
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async def _process_expiring_items(self, tenant_id: UUID, items: List[Dict[str, Any]]):
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"""Process expiring items for a tenant"""
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try:
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# Group by urgency
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expired = [i for i in items if i['days_to_expiry'] <= 0]
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urgent = [i for i in items if 0 < i['days_to_expiry'] <= 2]
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warning = [i for i in items if 2 < i['days_to_expiry'] <= 7]
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# Process expired products (urgent alerts)
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if expired:
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product_count = len(expired)
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product_names = [i['name'] for i in expired[:3]] # First 3 names
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if len(expired) > 3:
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product_names.append(f"y {len(expired) - 3} más")
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template_data = self.format_spanish_message(
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'expired_products',
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product_count=product_count,
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product_names=", ".join(product_names)
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)
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await self.publish_item(tenant_id, {
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'type': 'expired_products',
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'severity': 'urgent',
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'title': template_data['title'],
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'message': template_data['message'],
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'actions': template_data['actions'],
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'metadata': {
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'expired_items': [
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{
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'id': str(item['id']),
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'name': item['name'],
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'batch_id': str(item['batch_id']),
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'quantity': float(item['quantity']),
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'days_expired': abs(item['days_to_expiry'])
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} for item in expired
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]
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}
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}, item_type='alert')
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# Process urgent expiry (high alerts)
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if urgent:
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for item in urgent:
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await self.publish_item(tenant_id, {
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'type': 'urgent_expiry',
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'severity': 'high',
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'title': f'⏰ Caducidad Urgente: {item["name"]}',
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'message': f'{item["name"]} caduca en {item["days_to_expiry"]} día(s). Usar prioritariamente.',
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'actions': ['Usar inmediatamente', 'Promoción especial', 'Revisar recetas', 'Documentar'],
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'metadata': {
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'ingredient_id': str(item['id']),
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'batch_id': str(item['batch_id']),
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'days_to_expiry': item['days_to_expiry'],
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'quantity': float(item['quantity'])
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}
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}, item_type='alert')
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except Exception as e:
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logger.error("Error processing expiring items",
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tenant_id=str(tenant_id),
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error=str(e))
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async def check_temperature_breaches(self):
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"""Check for temperature breaches (alerts)"""
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try:
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self._checks_performed += 1
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query = """
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SELECT
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t.id, t.sensor_id, t.location, t.temperature,
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t.max_threshold, t.tenant_id,
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EXTRACT(minutes FROM (NOW() - t.first_breach_time)) as breach_duration_minutes
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FROM temperature_readings t
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WHERE t.temperature > t.max_threshold
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AND t.breach_duration_minutes >= 30 -- Only after 30 minutes
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AND t.last_alert_sent < NOW() - INTERVAL '15 minutes' -- Avoid spam
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ORDER BY t.temperature DESC, t.breach_duration_minutes DESC
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"""
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from sqlalchemy import text
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async with self.db_manager.get_session() as session:
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result = await session.execute(text(query))
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breaches = result.fetchall()
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for breach in breaches:
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await self._process_temperature_breach(breach)
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except Exception as e:
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logger.error("Temperature check failed", error=str(e))
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self._errors_count += 1
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async def _process_temperature_breach(self, breach: Dict[str, Any]):
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"""Process temperature breach"""
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try:
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# Determine severity based on duration and temperature
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duration_minutes = breach['breach_duration_minutes']
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temp_excess = breach['temperature'] - breach['max_threshold']
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if duration_minutes > 120 or temp_excess > 10:
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severity = 'urgent'
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elif duration_minutes > 60 or temp_excess > 5:
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severity = 'high'
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else:
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severity = 'medium'
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template_data = self.format_spanish_message(
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'temperature_breach',
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location=breach['location'],
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temperature=breach['temperature'],
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duration=duration_minutes
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)
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await self.publish_item(breach['tenant_id'], {
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'type': 'temperature_breach',
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'severity': severity,
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'title': template_data['title'],
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'message': template_data['message'],
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'actions': template_data['actions'],
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'metadata': {
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'sensor_id': breach['sensor_id'],
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'location': breach['location'],
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'temperature': float(breach['temperature']),
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'max_threshold': float(breach['max_threshold']),
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'duration_minutes': duration_minutes,
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'temperature_excess': temp_excess
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}
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}, item_type='alert')
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# Update last alert sent time to avoid spam
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await self.db_manager.execute(
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"UPDATE temperature_readings SET last_alert_sent = NOW() WHERE id = $1",
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breach['id']
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)
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except Exception as e:
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logger.error("Error processing temperature breach",
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sensor_id=breach.get('sensor_id'),
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error=str(e))
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async def generate_inventory_recommendations(self):
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"""Generate optimization recommendations based on usage patterns"""
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try:
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self._checks_performed += 1
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# Analyze stock levels vs usage patterns
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query = """
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WITH usage_analysis AS (
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SELECT
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i.id, i.name, i.tenant_id, i.minimum_stock, i.maximum_stock,
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i.current_stock,
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AVG(sm.quantity) FILTER (WHERE sm.movement_type = 'out'
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AND sm.created_at > CURRENT_DATE - INTERVAL '30 days') as avg_daily_usage,
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COUNT(sm.id) FILTER (WHERE sm.movement_type = 'out'
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AND sm.created_at > CURRENT_DATE - INTERVAL '30 days') as usage_days,
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MAX(sm.created_at) FILTER (WHERE sm.movement_type = 'out') as last_used
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FROM inventory_items i
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LEFT JOIN stock_movements sm ON sm.ingredient_id = i.id
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WHERE i.active = true AND i.tenant_id = $1
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GROUP BY i.id
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HAVING COUNT(sm.id) FILTER (WHERE sm.movement_type = 'out'
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AND sm.created_at > CURRENT_DATE - INTERVAL '30 days') >= 5
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),
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recommendations AS (
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SELECT *,
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CASE
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WHEN avg_daily_usage * 7 > maximum_stock THEN 'increase_max'
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WHEN avg_daily_usage * 3 < minimum_stock THEN 'decrease_min'
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WHEN current_stock / NULLIF(avg_daily_usage, 0) > 14 THEN 'reduce_stock'
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WHEN avg_daily_usage > 0 AND minimum_stock / avg_daily_usage < 3 THEN 'increase_min'
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ELSE null
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END as recommendation_type
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FROM usage_analysis
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WHERE avg_daily_usage > 0
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)
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SELECT * FROM recommendations WHERE recommendation_type IS NOT NULL
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ORDER BY avg_daily_usage DESC
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"""
|
||||
|
||||
tenants = await self.get_active_tenants()
|
||||
|
||||
for tenant_id in tenants:
|
||||
try:
|
||||
from sqlalchemy import text
|
||||
async with self.db_manager.get_session() as session:
|
||||
result = await session.execute(text(query), {"tenant_id": tenant_id})
|
||||
recommendations = result.fetchall()
|
||||
|
||||
for rec in recommendations:
|
||||
await self._generate_stock_recommendation(tenant_id, rec)
|
||||
|
||||
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
|
||||
query = """
|
||||
SELECT
|
||||
i.id, i.name, i.tenant_id,
|
||||
SUM(w.quantity) as total_waste_30d,
|
||||
COUNT(w.id) as waste_incidents,
|
||||
AVG(w.quantity) as avg_waste_per_incident,
|
||||
w.waste_reason
|
||||
FROM inventory_items i
|
||||
JOIN waste_logs w ON w.ingredient_id = i.id
|
||||
WHERE w.created_at > CURRENT_DATE - INTERVAL '30 days'
|
||||
AND i.tenant_id = $1
|
||||
GROUP BY i.id, w.waste_reason
|
||||
HAVING SUM(w.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
|
||||
async with self.db_manager.get_session() as session:
|
||||
result = await session.execute(text(query), {"tenant_id": tenant_id})
|
||||
waste_data = result.fetchall()
|
||||
|
||||
for waste in waste_data:
|
||||
await self._generate_waste_recommendation(tenant_id, waste)
|
||||
|
||||
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_stock_after_order(self, ingredient_id: str, order_quantity: float) -> Optional[Dict[str, Any]]:
|
||||
"""Get stock information after hypothetical order"""
|
||||
try:
|
||||
query = """
|
||||
SELECT id, name, current_stock, minimum_stock,
|
||||
(current_stock - $2) as remaining
|
||||
FROM inventory_items
|
||||
WHERE id = $1
|
||||
"""
|
||||
|
||||
result = await self.db_manager.fetchrow(query, ingredient_id, order_quantity)
|
||||
return dict(result) if result else None
|
||||
|
||||
except Exception as e:
|
||||
logger.error("Error getting stock after order",
|
||||
ingredient_id=ingredient_id,
|
||||
error=str(e))
|
||||
return None
|
||||
@@ -30,8 +30,12 @@ passlib[bcrypt]==1.7.4
|
||||
structlog==23.2.0
|
||||
prometheus-client==0.19.0
|
||||
|
||||
# Message queues
|
||||
# Message queues and Redis
|
||||
aio-pika==9.3.1
|
||||
redis>=4.0.0
|
||||
|
||||
# Scheduling
|
||||
APScheduler==3.10.4
|
||||
|
||||
# Additional for inventory management
|
||||
python-barcode==0.15.1
|
||||
|
||||
Reference in New Issue
Block a user