Akiba So
fc468464b2
Context: Build a spatial risk assessment system correlating air quality data with children's respiratory disease incidence across Wuhan. Approach: FastAPI backend serving PostGIS spatial queries, React frontend with Deck.gl maps, and a PyTorch SpatialTemporalGCN pipeline for multi-day (1d/3d/7d) risk prediction. Changes: - backend/ — FastAPI API with auth (JWT), alerts, risk analysis, geocoded case data, grid statistics, and report endpoints - frontend/ — React dashboard with interactive risk maps, alert monitoring, district comparison charts, and timeline player - models/ — SpatialTemporalGCN model with trained weights and ONNX export for inference - scripts/ — ETL pipeline for weather + medical data, grid generation, feature engineering, training, and daily inference - deploy/ — Docker Compose configs for backend, frontend, and MLflow - docs/ — API docs, deployment guide, user guide, and code review Impact: Enables spatial risk visualization, alert monitoring, and ML-driven health risk forecasting for environmental health teams.
83 lines
1.9 KiB
YAML
83 lines
1.9 KiB
YAML
version: '3.8'
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services:
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postgres:
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image: postgis/postgis:15-3.3
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container_name: wuhan_postgres
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environment:
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POSTGRES_DB: wuhan_disease
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POSTGRES_USER: wuhan_user
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POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-wuhan_password}
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volumes:
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- postgres_data:/var/lib/postgresql/data
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- ./init.sql:/docker-entrypoint-initdb.d/init.sql
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ports:
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- "5432:5432"
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U wuhan_user -d wuhan_disease"]
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interval: 5s
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timeout: 5s
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retries: 5
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networks:
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- wuhan_network
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backend:
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build:
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context: ../backend
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dockerfile: Dockerfile
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container_name: wuhan_backend
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environment:
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DATABASE_URL: postgresql://wuhan_user:password@postgres:5432/wuhan_disease
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POSTGRES_HOST: postgres
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POSTGRES_PORT: 5432
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depends_on:
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postgres:
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condition: service_healthy
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ports:
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- "8000:8000"
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healthcheck:
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test: ["CMD-SHELL", "curl -f http://localhost:8000/docs || exit 1"]
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interval: 10s
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timeout: 5s
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retries: 5
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start_period: 30s
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networks:
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- wuhan_network
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frontend:
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build:
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context: ../frontend
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dockerfile: Dockerfile
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container_name: wuhan_frontend
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environment:
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VITE_API_URL: http://localhost:8000
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depends_on:
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- backend
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ports:
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- "3000:80"
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healthcheck:
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test: ["CMD-SHELL", "curl -f http://localhost:80 || exit 1"]
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interval: 10s
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timeout: 5s
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retries: 5
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networks:
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- wuhan_network
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# jupyter:
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# image: jupyter/scipy-notebook:latest
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# container_name: wuhan_jupyter
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# ports:
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# - "8888:8888"
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# volumes:
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# - ../processed:/home/jovyan/processed
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# - ../Datas:/home/jovyan/Datas
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# networks:
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# - wuhan_network
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volumes:
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postgres_data:
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driver: local
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networks:
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wuhan_network:
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driver: bridge |