d5456c0ec4
Analysis: - Docker image size: 3.53GB (needs optimization) - Monolithic app.py: 1,051 lines (needs splitting) - No caching strategy (performance bottleneck) - Synchronous video processing (blocks requests) Optimization Proposal includes: 1. Multi-stage Docker build (3.53GB → 800MB, 77% reduction) 2. Blueprint architecture (split monolithic app.py) 3. Redis caching (50-80% faster page loads) 4. Celery for background tasks (async video processing) 5. Database optimization (indexes, query optimization) 6. nginx reverse proxy (3-5x faster static files) 7. Security hardening (rate limiting, CSRF, validation) 8. Monitoring & health checks 9. Type hints & code quality improvements 10. Environment-based configuration Expected results: - Page load: 2-3s → 0.5-1s (70% faster) - API response: 100-200ms → 20-50ms (75% faster) - Concurrent users: 10-20 → 100-200 (10x scalability) - Docker image: 77% smaller - Code maintainability: Significantly improved Implementation roadmap: 4 phases over 2-3 weeks Priority: Critical → High → Medium Changed port mapping: 8880:5000 → 80:5000 for standard HTTP access
39 lines
924 B
YAML
39 lines
924 B
YAML
# Production Docker Compose Configuration
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# Use this for production deployment
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services:
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digiserver:
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build: .
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image: digiserver:latest
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container_name: digiserver
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ports:
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- "80:5000"
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environment:
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- FLASK_APP=app.py
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- FLASK_RUN_HOST=0.0.0.0
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- FLASK_ENV=production
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- FLASK_DEBUG=0
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- ADMIN_USER=admin
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- ADMIN_PASSWORD=Initial01!
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- SECRET_KEY=Ma_Duc_Dupa_Merele_Lui_Ana
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volumes:
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# Mount app code
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- ./app:/app
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# Persistent data volumes
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- ./data/instance:/app/instance
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- ./data/uploads:/app/static/uploads
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- ./data/resurse:/app/static/resurse
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:5000/"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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networks:
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- digiserver-network
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networks:
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digiserver-network:
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driver: bridge
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