deploy.bat

@echo off
REM Graph RAG Chatbot Deployment Script for Windows

setlocal enabledelayedexpansion

echo.
echo 🤖 Graph RAG Chatbot Deployment Script
echo.

REM Check GROQ_API_KEY
if not defined GROQ_API_KEY (
    if exist ".env" (
        for /f "tokens=2 delims==" %%A in ('findstr "GROQ_API_KEY" .env') do set GROQ_API_KEY=%%A
    ) else (
        echo ⚠️  GROQ_API_KEY not found!
        echo.
        echo Getting Groq API Key:
        echo 1. Visit https://console.groq.com
        echo 2. Sign up/Login
        echo 3. Create an API key
        echo 4. Copy it
        echo.
        set /p GROQ_API_KEY="Enter your GROQ_API_KEY: "
        echo GROQ_API_KEY=!GROQ_API_KEY! > .env
        echo ✅ API key saved to .env
    )
)

echo ✅ GROQ_API_KEY configured
echo.

echo Select deployment method:
echo 1) Local (Python venv)
echo 2) Docker (Single container)
echo 3) Docker Compose (Recommended)
echo 4) Hugging Face Spaces
echo.
set /p choice="Enter choice (1-4): "

if "%choice%"=="1" goto local_deploy
if "%choice%"=="2" goto docker_deploy
if "%choice%"=="3" goto compose_deploy
if "%choice%"=="4" goto hf_deploy
goto invalid_choice

:local_deploy
echo.
echo 📦 Local Deployment
echo.

where python >nul 2>nul
if errorlevel 1 (
    echo ❌ Python not found. Please install Python 3.8+
    exit /b 1
)

echo Creating virtual environment...
python -m venv venv

echo Activating virtual environment...
call venv\Scripts\activate.bat

echo Installing dependencies...
python -m pip install --upgrade pip
pip install -r requirements.txt

echo.
echo ✅ Installation complete!
echo.
echo To start the app, run:
echo   venv\Scripts\activate.bat
echo   python app.py
echo.
echo Then open: http://localhost:7860
goto end

:docker_deploy
echo.
echo 🐳 Docker Deployment
echo.

where docker >nul 2>nul
if errorlevel 1 (
    echo ❌ Docker not found. Please install Docker.
    echo Visit: https://docs.docker.com/get-docker/
    exit /b 1
)

echo Building Docker image...
docker build -t graph-rag-chatbot .

echo.
echo ✅ Image built successfully!
echo.
echo To run the container, use:
echo   docker run -p 7860:7860 ^
echo     -e GROQ_API_KEY=%GROQ_API_KEY% ^
echo     -v %%cd%%/data:/app/data ^
echo     graph-rag-chatbot
echo.
set /p start="Start container now? (y/n): "
if /i "%start%"=="y" (
    docker run -p 7860:7860 -e GROQ_API_KEY=%GROQ_API_KEY% -v %cd%/data:/app/data graph-rag-chatbot
)
goto end

:compose_deploy
echo.
echo 🐳 Docker Compose Deployment
echo.

where docker-compose >nul 2>nul
if errorlevel 1 (
    echo ❌ Docker Compose not found.
    echo Visit: https://docs.docker.com/compose/install/
    exit /b 1
)

if not exist ".env" (
    copy .env.example .env
)

echo Starting Docker Compose services...
docker-compose up -d

echo.
echo ✅ Services started!
echo.
echo Access the app at: http://localhost:7860
echo.
echo Useful commands:
echo   docker-compose logs -f        # View logs
echo   docker-compose ps             # View services
echo   docker-compose down           # Stop services
goto end

:hf_deploy
echo.
echo 🤗 Hugging Face Spaces Deployment
echo.

where git >nul 2>nul
if errorlevel 1 (
    echo ❌ Git not found. Please install Git.
    exit /b 1
)

echo Steps to deploy to HF Spaces:
echo.
echo 1. Create a new Space:
echo    https://huggingface.co/spaces
echo    - Select Docker as SDK
echo    - Name: graph-rag-chatbot
echo.
set /p hf_username="Enter your HF username: "

git clone https://huggingface.co/spaces/%hf_username%/graph-rag-chatbot hf-space-clone
cd hf-space-clone

echo Copying project files...
copy ..\app.py .
xcopy ..\templates templates /E /I
copy ..\Dockerfile .
copy ..\requirements.txt .
copy ..\.dockerignore .

git add .
git commit -m "Initial Graph RAG deployment"
git push

echo.
echo ✅ Files pushed to HF Spaces!
echo.
echo Final step: Add your API key as a secret
echo 1. Go to: https://huggingface.co/spaces/%hf_username%/graph-rag-chatbot
echo 2. Click Settings ^> Repository secrets
echo 3. Add new secret:
echo    Name: GROQ_API_KEY
echo    Value: %GROQ_API_KEY%
echo.
echo Your app will be live in a few minutes!
goto end

:invalid_choice
echo ❌ Invalid choice
exit /b 1

:end
echo.
echo 🎉 Deployment configured!
echo.
endlocal