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.
26 lines
592 B
TypeScript
26 lines
592 B
TypeScript
import { defineConfig, devices } from '@playwright/test';
|
|
|
|
export default defineConfig({
|
|
testDir: './e2e',
|
|
fullyParallel: true,
|
|
forbidOnly: !!process.env.CI,
|
|
retries: process.env.CI ? 2 : 0,
|
|
workers: process.env.CI ? 1 : undefined,
|
|
reporter: 'html',
|
|
use: {
|
|
baseURL: 'http://localhost:3000',
|
|
trace: 'on-first-retry',
|
|
},
|
|
projects: [
|
|
{
|
|
name: 'chromium',
|
|
use: { ...devices['Desktop Chrome'] },
|
|
},
|
|
],
|
|
webServer: {
|
|
command: 'npm run dev',
|
|
url: 'http://localhost:3000',
|
|
reuseExistingServer: !process.env.CI,
|
|
timeout: 120000,
|
|
},
|
|
}); |