@echo off
REM stock_chart_site - Windows 빌드/기동 스크립트
REM 더블클릭하면 .env 준비 -> GPU 감지 -> docker compose up

setlocal enabledelayedexpansion
cd /d "%~dp0"

echo === stock_chart_site bootstrap ===

REM 1) .env 준비
if not exist .env (
    echo .env not found. Copying .env.example -> .env
    copy /Y .env.example .env >nul
    echo  - 키 발급 안내는 README.md 참조. 비워둬도 pykrx 만으로 일단 동작합니다.
)

REM 2) Docker 설치 / 실행 확인
where docker >nul 2>&1
if errorlevel 1 (
    echo [ERROR] docker 명령을 찾을 수 없습니다. Docker Desktop 설치/실행을 확인하세요.
    pause
    exit /b 1
)
docker info >nul 2>&1
if errorlevel 1 (
    echo [ERROR] Docker Desktop이 실행 중이 아닙니다.
    pause
    exit /b 1
)

REM 3) GPU 감지
set USE_GPU=0
where nvidia-smi >nul 2>&1
if not errorlevel 1 (
    nvidia-smi >nul 2>&1
    if not errorlevel 1 set USE_GPU=1
)

if "%USE_GPU%"=="1" (
    echo [GPU] NVIDIA GPU detected. Using GPU profile.
    set COMPOSE_FILES=-f docker-compose.yml -f docker-compose.gpu.yml
) else (
    echo [CPU] NVIDIA GPU not detected. Falling back to CPU mode.
    echo       Docker Desktop ^> Settings ^> Resources ^> WSL Integration ^> GPU support 를 켜면 GPU 사용 가능합니다.
    set COMPOSE_FILES=-f docker-compose.yml
)

REM 4) Build + up
echo.
echo === docker compose build ===
docker compose %COMPOSE_FILES% build
if errorlevel 1 (
    echo [ERROR] build 실패.
    pause
    exit /b 1
)

echo.
echo === docker compose up -d ===
docker compose %COMPOSE_FILES% up -d
if errorlevel 1 (
    echo [ERROR] up 실패.
    pause
    exit /b 1
)

echo.
echo === 상태 ===
docker compose %COMPOSE_FILES% ps

echo.
echo 접속:
echo   Web      http://localhost:3000
echo   Backend  http://localhost:8000/health
echo   DB ext   http://localhost:8000/health/db
echo.
echo 로그 보기:  docker compose logs -f backend
echo 정지:       docker compose down
echo.
pause
endlocal