Improve the demo feature of the project
This commit is contained in:
Urtzi Alfaro
@@ -1,61 +0,0 @@
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#!/bin/bash
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# Quick Alert Test Script
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# This script sends a single test alert using the working configuration
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# Use this for quick testing of the real-time alert system
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echo "🚀 Sending quick test alert..."
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docker exec bakery-ia-alert-processor-1 python -c "
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import aio_pika
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import asyncio
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import json
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import uuid
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from datetime import datetime
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async def quick_alert():
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connection = await aio_pika.connect_robust('amqp://bakery:forecast123@rabbitmq:5672/')
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channel = await connection.channel()
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exchange = await channel.declare_exchange(
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'alerts.exchange',
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aio_pika.ExchangeType.TOPIC,
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durable=True
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)
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tenant_id = 'c464fb3e-7af2-46e6-9e43-85318f34199a'
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# Quick test alert
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alert = {
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'id': str(uuid.uuid4()),
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'tenant_id': tenant_id,
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'item_type': 'alert',
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'type': 'quick_test',
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'severity': 'urgent',
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'service': 'quick-test',
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'title': '⚡ QUICK TEST - ' + datetime.now().strftime('%H:%M:%S'),
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'message': 'Quick test alert sent at ' + datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
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'actions': ['Check frontend', 'Verify reception'],
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'metadata': {'quick_test': True, 'sent_at': datetime.utcnow().isoformat()},
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'timestamp': datetime.utcnow().isoformat()
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}
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await exchange.publish(
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aio_pika.Message(json.dumps(alert).encode()),
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routing_key='alert.urgent.quick-test'
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)
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print(f'✅ Quick alert sent: {alert[\"title\"]}')
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print(f' ID: {alert[\"id\"]}')
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print(' Check your frontend for real-time update!')
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await connection.close()
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asyncio.run(quick_alert())
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"
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echo "✅ Quick test completed!"
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echo "🌐 Check your frontend - the alert should appear immediately in:"
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echo " - Notification icon (header)"
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echo " - Panel de control (alerts section)"
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echo " - Toast notification (if urgent/high priority)"
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@@ -1,137 +0,0 @@
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#!/usr/bin/env python3
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"""
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WORKING Alert Test Script
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This script successfully sends alerts that reach the frontend via SSE.
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Use this for future testing of the real-time alert system.
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"""
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import aio_pika
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import asyncio
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import json
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import uuid
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from datetime import datetime
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async def send_test_alerts():
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"""Send test alerts and recommendations to the system"""
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# Connect to RabbitMQ using the correct credentials
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connection = await aio_pika.connect_robust('amqp://bakery:forecast123@rabbitmq:5672/')
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channel = await connection.channel()
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# Declare the alerts exchange
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exchange = await channel.declare_exchange(
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'alerts.exchange',
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aio_pika.ExchangeType.TOPIC,
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durable=True
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)
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# Use your actual tenant ID (replace if different)
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tenant_id = 'c464fb3e-7af2-46e6-9e43-85318f34199a'
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print("🚀 Sending test alerts to the system...")
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# Test Alert - Urgent
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urgent_alert = {
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'id': str(uuid.uuid4()),
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'tenant_id': tenant_id,
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'item_type': 'alert',
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'type': 'test_alert',
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'severity': 'urgent', # Must be lowercase: urgent, high, medium, low
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'service': 'test-manual',
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'title': '🚨 TEST URGENT ALERT',
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'message': 'This is a test urgent alert that should appear in your frontend immediately',
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'actions': ['Check frontend dashboard', 'Verify notification icon', 'Confirm real-time reception'],
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'metadata': {'test': True, 'manual': True, 'timestamp': datetime.utcnow().isoformat()},
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'timestamp': datetime.utcnow().isoformat()
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}
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await exchange.publish(
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aio_pika.Message(json.dumps(urgent_alert).encode()),
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routing_key='alert.urgent.test-manual'
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)
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print(f"✅ Sent urgent alert: {urgent_alert['title']}")
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# Wait a moment between alerts
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await asyncio.sleep(2)
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# Test Alert - High Priority
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high_alert = {
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'id': str(uuid.uuid4()),
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'tenant_id': tenant_id,
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'item_type': 'alert',
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'type': 'test_alert_high',
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'severity': 'high',
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'service': 'test-manual',
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'title': '⚠️ TEST HIGH PRIORITY ALERT',
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'message': 'This is a high priority test alert for the bakery system',
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'actions': ['Review inventory', 'Contact supplier', 'Update stock levels'],
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'metadata': {'test': True, 'priority': 'high', 'category': 'inventory'},
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'timestamp': datetime.utcnow().isoformat()
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}
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await exchange.publish(
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aio_pika.Message(json.dumps(high_alert).encode()),
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routing_key='alert.high.test-manual'
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)
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print(f"✅ Sent high priority alert: {high_alert['title']}")
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# Wait a moment
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await asyncio.sleep(2)
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# Test Recommendation
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recommendation = {
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'id': str(uuid.uuid4()),
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'tenant_id': tenant_id,
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'item_type': 'recommendation',
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'type': 'optimization_suggestion',
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'severity': 'medium',
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'service': 'test-manual',
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'title': '💡 TEST OPTIMIZATION RECOMMENDATION',
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'message': 'This is a test recommendation to optimize your bakery operations',
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'actions': ['Review suggestion', 'Analyze impact', 'Consider implementation'],
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'metadata': {'test': True, 'type': 'optimization', 'potential_savings': '15%'},
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'timestamp': datetime.utcnow().isoformat()
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}
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await exchange.publish(
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aio_pika.Message(json.dumps(recommendation).encode()),
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routing_key='recommendation.medium.test-manual'
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)
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print(f"✅ Sent recommendation: {recommendation['title']}")
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# Wait a moment
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await asyncio.sleep(2)
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# Test Low Priority Alert
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low_alert = {
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'id': str(uuid.uuid4()),
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'tenant_id': tenant_id,
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'item_type': 'alert',
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'type': 'test_info',
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'severity': 'low',
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'service': 'test-manual',
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'title': 'ℹ️ TEST INFO ALERT',
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'message': 'This is a low priority informational alert for testing',
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'actions': ['Review when convenient'],
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'metadata': {'test': True, 'info': True},
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'timestamp': datetime.utcnow().isoformat()
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}
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await exchange.publish(
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aio_pika.Message(json.dumps(low_alert).encode()),
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routing_key='alert.low.test-manual'
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)
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print(f"✅ Sent low priority alert: {low_alert['title']}")
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await connection.close()
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print("\n🎉 All test alerts sent successfully!")
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print("\nYou should see these alerts in your frontend:")
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print(" 1. In the notification icon (header) - live counter update")
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print(" 2. In the panel de control - compact expandable cards")
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print(" 3. As real-time toast notifications")
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print("\nNote: Urgent and high alerts will show as toast notifications")
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if __name__ == "__main__":
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# Run the async function
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asyncio.run(send_test_alerts())
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File diff suppressed because it is too large
Load Diff
@@ -1,94 +0,0 @@
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#!/usr/bin/env python3
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"""
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Out of Stock Alert Test
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Sends a realistic out of stock alert to test the inventory monitoring system
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"""
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import aio_pika
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import asyncio
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import json
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import uuid
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from datetime import datetime
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async def send_out_of_stock_alert():
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"""Send a realistic out of stock alert"""
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# Connect to RabbitMQ
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connection = await aio_pika.connect_robust('amqp://bakery:forecast123@rabbitmq:5672/')
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channel = await connection.channel()
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# Declare the alerts exchange
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exchange = await channel.declare_exchange(
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'alerts.exchange',
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aio_pika.ExchangeType.TOPIC,
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durable=True
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)
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# Use actual tenant ID
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tenant_id = 'c464fb3e-7af2-46e6-9e43-85318f34199a'
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print("🚨 Sending out of stock alert...")
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# Out of Stock Alert
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out_of_stock_alert = {
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'id': str(uuid.uuid4()),
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'tenant_id': tenant_id,
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'item_type': 'alert',
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'type': 'out_of_stock',
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'severity': 'urgent',
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'service': 'inventory-service',
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'title': '🚨 PRODUCTO AGOTADO: Harina de Trigo',
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'message': 'El ingrediente "Harina de Trigo" está completamente agotado. Stock actual: 0 kg. Este ingrediente es crítico para la producción diaria y afecta 8 productos principales.',
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'actions': [
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'Contactar proveedor inmediatamente',
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'Revisar productos afectados',
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'Activar stock de emergencia si disponible',
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'Notificar al equipo de producción',
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'Actualizar previsiones de ventas'
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],
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'metadata': {
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'ingredient_name': 'Harina de Trigo',
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'current_stock': 0,
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'unit': 'kg',
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'minimum_stock': 50,
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'critical_ingredient': True,
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'affected_products': [
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'Pan Francés',
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'Croissants',
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'Pan Integral',
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'Baguettes',
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'Pan de Molde',
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'Empanadas',
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'Pizza',
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'Focaccia'
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],
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'supplier': 'Molinos San Andrés',
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'last_order_date': '2024-01-15',
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'estimated_restock_time': '24-48 horas',
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'impact_level': 'HIGH'
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},
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'timestamp': datetime.utcnow().isoformat()
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}
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await exchange.publish(
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aio_pika.Message(json.dumps(out_of_stock_alert).encode()),
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routing_key='alert.urgent.inventory-service'
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)
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print(f"✅ Out of stock alert sent: {out_of_stock_alert['title']}")
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print(f" Alert ID: {out_of_stock_alert['id']}")
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print(f" Severity: {out_of_stock_alert['severity'].upper()}")
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print(f" Service: {out_of_stock_alert['service']}")
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print(f" Affected products: {len(out_of_stock_alert['metadata']['affected_products'])}")
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await connection.close()
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print("\n🎯 Out of stock alert test completed!")
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print("Check your frontend for:")
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print(" • Urgent notification in header (red badge)")
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print(" • Real-time alert in dashboard panel")
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print(" • Toast notification (urgent priority)")
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print(" • Expandable card with ingredient details and actions")
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if __name__ == "__main__":
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asyncio.run(send_out_of_stock_alert())
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@@ -1,95 +0,0 @@
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#!/usr/bin/env python3
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"""
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Recommendation Alert Test
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Sends a realistic optimization recommendation to test the AI recommendations system
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"""
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import aio_pika
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import asyncio
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import json
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import uuid
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from datetime import datetime
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async def send_recommendation_alert():
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"""Send a realistic optimization recommendation"""
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# Connect to RabbitMQ
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connection = await aio_pika.connect_robust('amqp://bakery:forecast123@rabbitmq:5672/')
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channel = await connection.channel()
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# Declare the alerts exchange
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exchange = await channel.declare_exchange(
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'alerts.exchange',
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aio_pika.ExchangeType.TOPIC,
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durable=True
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)
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# Use actual tenant ID
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tenant_id = 'c464fb3e-7af2-46e6-9e43-85318f34199a'
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print("💡 Sending optimization recommendation...")
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# Optimization Recommendation
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recommendation = {
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'id': str(uuid.uuid4()),
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'tenant_id': tenant_id,
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'item_type': 'recommendation',
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'type': 'demand_optimization',
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'severity': 'medium',
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'service': 'ai-forecast-service',
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'title': '💡 OPTIMIZACIÓN: Ajustar Producción de Croissants',
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'message': 'Nuestro análisis de IA detectó que la demanda de croissants aumenta un 35% los viernes. Se recomienda incrementar la producción para maximizar ventas y reducir desperdicio.',
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'actions': [
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'Revisar análisis de demanda detallado',
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'Ajustar plan de producción para viernes',
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'Evaluar capacidad de horno disponible',
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'Calcular ROI del incremento propuesto',
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'Implementar cambio gradualmente',
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'Monitorear resultados por 2 semanas'
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],
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'metadata': {
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'product_name': 'Croissants',
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'current_friday_production': 120,
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'recommended_friday_production': 162,
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'increase_percentage': 35,
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'confidence_score': 0.87,
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'data_period_analyzed': '3 meses',
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'potential_revenue_increase': 280.50,
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'currency': 'EUR',
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'historical_sellout_rate': 0.95,
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'waste_reduction_potential': '15%',
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'implementation_effort': 'LOW',
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'roi_timeframe': '2 semanas',
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'seasonal_factors': [
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'Viernes laboral',
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'Proximidad fin de semana',
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'Horario de desayuno extendido'
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],
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'risk_level': 'BAJO'
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},
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'timestamp': datetime.utcnow().isoformat()
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}
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await exchange.publish(
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aio_pika.Message(json.dumps(recommendation).encode()),
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routing_key='recommendation.medium.ai-forecast-service'
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)
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print(f"✅ Recommendation sent: {recommendation['title']}")
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print(f" Recommendation ID: {recommendation['id']}")
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print(f" Severity: {recommendation['severity'].upper()}")
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print(f" Service: {recommendation['service']}")
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print(f" Confidence: {recommendation['metadata']['confidence_score']*100:.0f}%")
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print(f" Potential revenue increase: €{recommendation['metadata']['potential_revenue_increase']}")
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await connection.close()
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print("\n🎯 Recommendation test completed!")
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print("Check your frontend for:")
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print(" • Medium priority notification in header")
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print(" • Real-time recommendation in dashboard panel")
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print(" • Blue info badge (recommendation type)")
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print(" • Expandable card with AI analysis and business impact")
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if __name__ == "__main__":
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asyncio.run(send_recommendation_alert())
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@@ -1,93 +0,0 @@
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#!/usr/bin/env python3
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"""
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Test script to verify traffic data fetching and storage
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"""
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import asyncio
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import sys
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import os
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from datetime import datetime, timedelta
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# Add the services path to Python path
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sys.path.insert(0, '/Users/urtzialfaro/Documents/bakery-ia/services/external')
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async def test_traffic_storage():
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"""Test traffic data fetching and storage"""
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print("Testing traffic data storage workflow...")
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try:
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from app.services.traffic_service import TrafficService
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from app.core.database import database_manager
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from app.repositories.traffic_repository import TrafficRepository
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# Initialize traffic service
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traffic_service = TrafficService()
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# Madrid coordinates (within bounds)
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latitude = 40.4168
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longitude = -3.7038
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tenant_id = "test_tenant"
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print(f"Testing location: {latitude}, {longitude}")
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# Test 1: Check current traffic
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print("\n1. Testing current traffic...")
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current_traffic = await traffic_service.get_current_traffic(latitude, longitude, tenant_id)
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if current_traffic:
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print(f"Current traffic data retrieved:")
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print(f" - Traffic volume: {current_traffic.get('traffic_volume')}")
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print(f" - Source: {current_traffic.get('source')}")
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print(f" - Congestion: {current_traffic.get('congestion_level')}")
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else:
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print("No current traffic data available")
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# Test 2: Check historical traffic (short range to avoid large downloads)
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print("\n2. Testing historical traffic storage...")
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end_date = datetime.now()
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start_date = end_date - timedelta(days=2) # Just 2 days to test
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print(f"Requesting historical data from {start_date} to {end_date}")
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historical_data = await traffic_service.get_historical_traffic(
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latitude, longitude, start_date, end_date, tenant_id
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)
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print(f"Historical traffic records retrieved: {len(historical_data)}")
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if historical_data:
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print("Sample record:")
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sample = historical_data[0]
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for key, value in sample.items():
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if key != 'raw_data': # Skip raw data to keep output clean
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print(f" - {key}: {value}")
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# Test 3: Check database storage
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print("\n3. Checking database storage...")
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async with database_manager.get_session() as session:
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traffic_repo = TrafficRepository(session)
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# Check what's actually stored in the database
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db_records = await traffic_repo.get_by_location_and_date_range(
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latitude, longitude, start_date, end_date, tenant_id
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)
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print(f"Records found in database: {len(db_records)}")
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||||
|
||||
if db_records:
|
||||
print("Sample database record:")
|
||||
sample_db = db_records[0]
|
||||
print(f" - ID: {sample_db.id}")
|
||||
print(f" - Date: {sample_db.date}")
|
||||
print(f" - Traffic volume: {sample_db.traffic_volume}")
|
||||
print(f" - Location ID: {sample_db.location_id}")
|
||||
print(f" - Source: {sample_db.source}")
|
||||
print(f" - Tenant ID: {sample_db.tenant_id}")
|
||||
|
||||
print("\n✅ Traffic storage test completed successfully")
|
||||
|
||||
except Exception as e:
|
||||
print(f"\n❌ Traffic storage test failed: {e}")
|
||||
import traceback
|
||||
traceback.print_exc()
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(test_traffic_storage())
|
||||
Reference in New Issue
Block a user