65e40e2031
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>
21 lines
438 B
Docker
21 lines
438 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for better caching
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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# Expose port
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EXPOSE 8000
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# Run the application
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000", "--reload"] |