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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>
11 lines
192 B
Plaintext
11 lines
192 B
Plaintext
fastapi==0.109.0
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uvicorn[standard]==0.27.0
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pydantic==2.5.3
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python-dotenv==1.0.0
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redis==5.0.1
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motor==3.5.1
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pymongo==4.6.1
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httpx==0.26.0
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websockets==12.0
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aiofiles==23.2.1
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python-multipart==0.0.6 |