Condense README.md

Author: kwdahun

README.md

@@ -1,130 +1,46 @@
 # DGU AI Lab Frontend
 
-A modern React application built with Vite, React 19, and Tailwind CSS.
-
-## Prerequisites
-
-- Node.js (version 16 or higher)
-- npm or yarn
-
-## Environment Configuration
-
-This project uses environment files to configure API endpoints:
-
-- `.env.production` - Production settings (committed to git, used in Docker builds)
-- `.env` - Local development settings (optional, not committed)
-
-The `.env.production` file contains:
-```bash
-VITE_API_BASE_URL=http://210.94.179.19:9796
-VITE_NODE_ENV=production
-```
-
-When building for production, Vite automatically loads `.env.production`. This file is included in Docker builds (not in `.dockerignore`) and environment variables are embedded into the built JavaScript files.
-
-For local development with different settings, create a `.env` file (ignored by git and Docker):
-```bash
-VITE_API_BASE_URL=http://localhost:8080
-VITE_NODE_ENV=development
-```
-
-## Development
-
-Install dependencies:
-```bash
-npm install
-```
-
-Start the development server:
-```bash
-npm run dev
-```
-
-The application will be available at `http://localhost:5173`
-
-## Build
-
-Create a production build:
-```bash
-npm run build
-```
-
-Preview the production build locally:
-```bash
-npm run preview
-```
-
-## Deployment
-
-### Automated Deployment (Recommended)
-
-Set up GitHub Actions for continuous deployment. Every push to `main` automatically builds and deploys your application.
-
-**Usage:**
-```bash
-git add .
-git commit -m "Your changes"
-git push origin main
-```
-
-GitHub Actions will automatically handle the build and deployment process.
-
-### Manual Kubernetes Deployment
-
-Quick manual deployment steps:
-```bash
-# 1. Build and push Docker image
-docker build -t ailab-frontend:latest .
-docker tag ailab-frontend:latest dguailab/ailab-frontend:latest
-docker push dguailab/ailab-frontend:latest
-
-# 2. Deploy to Kubernetes
-kubectl apply -f k8s/namespace.yaml
-kubectl apply -f k8s/deployment.yaml
-kubectl apply -f k8s/service.yaml
-kubectl apply -f k8s/ingress.yaml
-
-# 3. Verify deployment
-kubectl rollout status deployment/ailab-frontend -n ailab-frontend
-```
-
-Access the application at: `http://210.94.179.19:30081`
-
-### Plain Deployment
-
-For non-Kubernetes deployment, use Docker or serve the static build:
-
-**Using Docker:**
-```bash
-# Build Docker image
-docker build -t ailab-frontend:latest .
-
-# Run container
-docker run -d -p 80:80 ailab-frontend:latest
-```
-
-Access at: `http://localhost`
-
-**Using Static Server:**
-```bash
-# Build the application
-npm run build
-
-# Serve with any static file server
-npx serve -s dist -p 80
-```
-
-Access at: `http://localhost`
-
-## Project Structure
-
-```
-├── k8s/             # Kubernetes manifests
-├── public/          # Static assets
-├── src/
-│   ├── components/  # React components
-│   ├── pages/       # Page components
-│   ├── App.jsx      # Main app with routing
-│   └── main.jsx     # Entry point
-└── vite.config.js   # Vite configuration
-```
+React 19 + Vite + Tailwind frontend for DGU AI Lab.
+
+## Requirements
+- Node 16+
+- npm
+
+## Environment
+- `.env.production` (committed, used in Docker/K8s):
+  ```bash
+  VITE_API_BASE_URL=http://210.94.179.19:9796
+  VITE_NODE_ENV=production
+  ```
+- `.env` (local override, git-ignored) example:
+  ```bash
+  VITE_API_BASE_URL=http://localhost:8080
+  VITE_NODE_ENV=development
+  ```
+
+## Commands
+- Install: `npm install`
+- Dev server: `npm run dev` → http://localhost:5173
+- Build: `npm run build`
+- Preview build: `npm run preview`
+
+## Deploy
+- Docker: `docker build -t ailab-frontend:latest .` then `docker run -d -p 80:80 ailab-frontend:latest`
+- Kubernetes (manual):
+  ```bash
+  docker build -t ailab-frontend:latest .
+  docker tag ailab-frontend:latest dguailab/ailab-frontend:latest
+  docker push dguailab/ailab-frontend:latest
+  kubectl apply -f k8s/namespace.yaml
+  kubectl apply -f k8s/deployment.yaml
+  kubectl apply -f k8s/service.yaml
+  kubectl apply -f k8s/ingress.yaml
+  kubectl rollout status deployment/ailab-frontend -n ailab-frontend
+  ```
+
+## Migrate to Another Kubernetes Cluster
+1) Switch context: `kubectl config use-context <new-cluster>`; ensure the NGINX ingress class or host matches the new setup (edit `k8s/ingress.yaml` as needed).  
+2) Push the image to a registry the new cluster can pull from; update `k8s/deployment.yaml` `image:` (and add an `imagePullSecret` if the registry is private).  
+3) Update env values (e.g., `VITE_API_BASE_URL`) to point at the backend reachable from the new cluster, rebuild, and push the image.  
+4) Apply manifests: `kubectl apply -f k8s/namespace.yaml && kubectl apply -f k8s`.  
+5) Verify: `kubectl rollout status deployment/ailab-frontend -n ailab-frontend` and check ingress/service reachability.