feat: Initial CBPOA commit — 武汉儿童呼吸疾病风险评估系统
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.
2026-06-05 02:13:49 +08:00
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"""
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FastAPI application entry point with CORS configuration
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"""
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import logging
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import os
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from fastapi import FastAPI, Request
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.middleware.gzip import GZipMiddleware
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from fastapi.responses import JSONResponse
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from logging_config import setup_logging
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from middleware.request_logger import RequestLoggerMiddleware
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from auth.router import router as auth_router
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from auth.service import seed_default_admin
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2026-06-05 03:10:28 +08:00
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from routers import risk, alerts, analysis, insights, reports, cases, geocoded, grid, chat
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feat: Initial CBPOA commit — 武汉儿童呼吸疾病风险评估系统
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.
2026-06-05 02:13:49 +08:00
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setup_logging()
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seed_default_admin()
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app = FastAPI(
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title="CBPOA Risk Assessment API",
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description="API for CBPOA health risk assessment and alert management",
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version="1.0.0",
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)
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app.add_middleware(RequestLoggerMiddleware)
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app.add_middleware(GZipMiddleware, minimum_size=1000)
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logger = logging.getLogger("cbpoa.main")
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@app.exception_handler(Exception)
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async def global_exception_handler(request: Request, exc: Exception):
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logger.exception("Unhandled exception on %s %s", request.method, request.url.path)
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return JSONResponse(status_code=500, content={"detail": "Internal server error"})
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cors_origins = os.getenv("CORS_ORIGINS", "http://localhost:3000,http://localhost:5173,http://127.0.0.1:3000,http://127.0.0.1:5173").split(",")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=cors_origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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app.include_router(auth_router)
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app.include_router(risk.router)
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app.include_router(alerts.router)
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app.include_router(analysis.router)
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app.include_router(insights.router)
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app.include_router(reports.router)
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app.include_router(cases.router)
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app.include_router(geocoded.router)
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app.include_router(grid.router)
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2026-06-05 03:10:28 +08:00
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app.include_router(chat.router)
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feat: Initial CBPOA commit — 武汉儿童呼吸疾病风险评估系统
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.
2026-06-05 02:13:49 +08:00
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@app.get("/")
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async def root():
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"""Root endpoint - API health check"""
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return {
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"message": "CBPOA Risk Assessment API",
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"version": "1.0.0",
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"status": "running"
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}
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@app.get("/health")
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async def health_check():
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"""Health check endpoint for monitoring"""
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return {"status": "healthy"}
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