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
|
|
|
import { defineConfig } from 'vite'
|
|
|
|
|
import react from '@vitejs/plugin-react'
|
|
|
|
|
import path from 'path'
|
|
|
|
|
|
|
|
|
|
export default defineConfig({
|
|
|
|
|
plugins: [react()],
|
|
|
|
|
resolve: {
|
|
|
|
|
alias: {
|
|
|
|
|
'@': path.resolve(__dirname, './src'),
|
|
|
|
|
},
|
|
|
|
|
},
|
2026-07-24 03:28:29 +08:00
|
|
|
optimizeDeps: {
|
|
|
|
|
exclude: ['@geoscene/core'],
|
|
|
|
|
},
|
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
|
|
|
server: {
|
|
|
|
|
port: 3000,
|
|
|
|
|
allowedHosts: ['alpha.hyh.ink'],
|
|
|
|
|
proxy: {
|
|
|
|
|
'/api': {
|
|
|
|
|
target: 'http://localhost:8000',
|
|
|
|
|
changeOrigin: true,
|
|
|
|
|
},
|
2026-07-24 03:28:29 +08:00
|
|
|
// Same-origin Gaode tiles — WebTileLayer needs CORS; direct autonavi URLs fail.
|
|
|
|
|
'/basemap-gaode': {
|
|
|
|
|
target: 'https://webrd01.is.autonavi.com',
|
|
|
|
|
changeOrigin: true,
|
|
|
|
|
rewrite: (p) => {
|
|
|
|
|
const m = p.match(/^\/basemap-gaode\/(\d+)\/(\d+)\/(\d+)/);
|
|
|
|
|
if (!m) return p;
|
|
|
|
|
const [, z, x, y] = m;
|
|
|
|
|
return `/appmaptile?lang=zh_cn&size=1&scale=1&style=8&z=${z}&x=${x}&y=${y}`;
|
|
|
|
|
},
|
|
|
|
|
},
|
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
|
|
|
},
|
|
|
|
|
},
|
|
|
|
|
preview: {
|
|
|
|
|
port: 3000,
|
|
|
|
|
allowedHosts: ['alpha.hyh.ink'],
|
|
|
|
|
},
|
|
|
|
|
})
|