feat: Implement Step 10-11 - Statistics and Notification Services
Step 10: Data Analytics and Statistics Service - Created comprehensive statistics service with real-time metrics collection - Implemented time-series data storage interface (InfluxDB compatible) - Added data aggregation and analytics endpoints - Integrated Redis caching for performance optimization - Made Kafka connection optional for resilience Step 11: Real-time Notification System - Built multi-channel notification service (Email, SMS, Push, In-App) - Implemented priority-based queue management with Redis - Created template engine for dynamic notifications - Added user preference management for personalized notifications - Integrated WebSocket server for real-time updates - Fixed pymongo/motor compatibility issues (motor 3.5.1) Testing: - Created comprehensive test suites for both services - Added integration test script to verify cross-service communication - All services passing health checks and functional tests 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -191,6 +191,64 @@ services:
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timeout: 5s
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retries: 5
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# Notifications Service
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notifications-backend:
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build:
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context: ./services/notifications/backend
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dockerfile: Dockerfile
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container_name: site11-notifications-backend
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ports:
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- "8013:8000"
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environment:
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- MONGODB_URL=mongodb://mongodb:27017
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- REDIS_URL=redis://redis:6379
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- KAFKA_BOOTSTRAP_SERVERS=kafka:9092
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- SMTP_HOST=${SMTP_HOST:-smtp.gmail.com}
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- SMTP_PORT=${SMTP_PORT:-587}
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- SMTP_USER=${SMTP_USER:-}
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- SMTP_PASSWORD=${SMTP_PASSWORD:-}
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- SMS_API_KEY=${SMS_API_KEY:-}
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- SMS_API_URL=${SMS_API_URL:-}
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- FCM_SERVER_KEY=${FCM_SERVER_KEY:-}
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depends_on:
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- mongodb
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- redis
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- kafka
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networks:
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- site11_network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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# Statistics Service
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statistics-backend:
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build:
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context: ./services/statistics/backend
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dockerfile: Dockerfile
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container_name: site11-statistics-backend
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ports:
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- "8012:8000"
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environment:
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- REDIS_URL=redis://redis:6379
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- KAFKA_BOOTSTRAP_SERVERS=kafka:9092
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- INFLUXDB_HOST=influxdb
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- INFLUXDB_PORT=8086
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- INFLUXDB_DATABASE=statistics
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depends_on:
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- redis
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- kafka
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networks:
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- site11_network
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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networks:
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site11_network:
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driver: bridge
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