Files
CA/CLAUDE.md
Akiba So e22b004f9e feat: GeoScene frontend POC + Docker deploy for remote host
Migrate maps to @geoscene/core, polish monitoring/alerts UX, fix timeline
basemap flicker and district alert regions, and ship compose/nginx Docker
deploy assets with CBPOA_ROOT data mounts.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-07-24 03:28:29 +08:00

2.0 KiB

CBPOA — 武汉儿童呼吸疾病风险评估系统

FastAPI + React + @geoscene/core + PyTorch GCN pipeline. 预测空气质量对儿童健康的空间风险。

Development

# Frontend (pnpm)
cd frontend && pnpm dev          # localhost:3000 → proxies /api to :8000

# Backend (Python venv)
cd backend && uvicorn main:app --reload   # localhost:8000

# ML pipeline
cd scripts && python train_model.py       # PyTorch + MLflow

Where to Look

Task Location
API endpoint backend/routers/
Database / PostGIS backend/database.py
UI component frontend/src/components/
GeoScene map helpers frontend/src/geoscene/
Page view frontend/src/pages/
API client / cache frontend/src/services/api.ts
State management frontend/src/stores/
TypeScript types frontend/src/types/
ETL / data processing scripts/
ML model architecture models/spatiotemporal_gcn/
Trained weights models/spatiotemporal_gcn/best_model.pt
Processed features processed/
Raw data sources Datas/
Docker / deploy deploy/

Data Sources

Data Path Notes
气象+空气 Datas/气象+空气/站点_*.csv 3yr, 2192 files, ~2.37M rows
门诊 Datas/view_门诊.xlsx 107,579 rows
住院 Datas/view_住院.xlsx 5,822 rows
DEM高程 Datas/DEM/CJJJD_DEM.TIF 3.1GB raster
人口密度 Datas/landscan-hd-china-v1-assets/*.tif 284MB
行政边界 Datas/武汉市.geojson Wuhan boundary

ML Pipeline

气象(时间序列) + 站点坐标 + DEM高程 + 人口密度 → SpatialTemporalGCN → 风险预测 [1d, 3d, 7d]

Agent Workflow

Explore finds → Librarian reads → You plan → Worker implements → Validator checks

Context-specific guidance lives in nested CLAUDE.md files — they load automatically when you work in those directories. Closest CLAUDE.md to the file being edited takes precedence.