DS1517+(Atom C2538)에서 빌드가 30분 이상 걸리던 원인 두 가지를 제거. 1. PyTorch CPU 전용 휠 사용 (backend) PyPI 기본 torch 휠은 nvidia-cublas/cudnn 등 CUDA 패키지를 수 GB 함께 내려받는데 NAS에는 GPU가 없어 전부 불필요했다. download.pytorch.org/whl/cpu 에서 먼저 설치하면 requirements.txt 의 torch 줄은 충족되어 건너뛴다. ml_ensemble 은 이미 지연 임포트라 동작 동일. 2. pip/npm 캐시를 빌드 간 재사용 (backend, mcp-server, frontend) --no-cache-dir 제거하고 RUN --mount=type=cache 로 전환. requirements.txt 가 바뀌어도 받아둔 휠은 재다운로드하지 않는다. Jenkinsfile 에 DOCKER_BUILDKIT/COMPOSE_DOCKER_CLI_BUILD 추가. 부수: frontend Dockerfile 의 FromAsCasing 경고 정리 (as build → AS build). 세 Dockerfile 모두 docker build --check 통과. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
127 lines
3.8 KiB
Groovy
127 lines
3.8 KiB
Groovy
pipeline {
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agent any
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environment {
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DEPLOY_DIR = '/volume1/docker/autostock'
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ENV_FILE = "${DEPLOY_DIR}/.env"
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// Dockerfile 의 pip/npm 캐시 마운트(RUN --mount=type=cache)를 쓰려면 BuildKit 필요
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DOCKER_BUILDKIT = '1'
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COMPOSE_DOCKER_CLI_BUILD = '1'
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}
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options {
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timeout(time: 30, unit: 'MINUTES')
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disableConcurrentBuilds()
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}
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stages {
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stage('Checkout') {
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steps {
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checkout scm
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}
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}
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stage('Validate') {
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steps {
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sh '''
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echo "=== Syntax Check ==="
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python3 -c "
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import ast, pathlib
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errors = []
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for f in pathlib.Path('backend/app').rglob('*.py'):
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try:
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ast.parse(f.read_text())
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except SyntaxError as e:
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errors.append(f'{f}: {e}')
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for f in pathlib.Path('mcp-server').glob('*.py'):
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try:
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ast.parse(f.read_text())
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except SyntaxError as e:
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errors.append(f'{f}: {e}')
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if errors:
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print('\\n'.join(errors))
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exit(1)
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print('All files OK')
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"
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'''
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}
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}
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stage('Sync & Build') {
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steps {
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sh """
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echo "=== Syncing source to deploy directory ==="
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mkdir -p ${DEPLOY_DIR}
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# .env 존재 확인
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if [ ! -f "${ENV_FILE}" ]; then
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echo "WARNING: ${ENV_FILE} not found. Creating template..."
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cp deploy/setup-nas.sh ${DEPLOY_DIR}/ 2>/dev/null || true
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fi
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# 소스 동기화 (backend, mcp-server, frontend, docker-compose.yml, docker/)
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cp docker-compose.yml ${DEPLOY_DIR}/
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cp -r docker/ ${DEPLOY_DIR}/ 2>/dev/null || true
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rsync -a --delete backend/ ${DEPLOY_DIR}/backend/ || cp -r backend/ ${DEPLOY_DIR}/backend/
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rsync -a --delete mcp-server/ ${DEPLOY_DIR}/mcp-server/ || cp -r mcp-server/ ${DEPLOY_DIR}/mcp-server/
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rsync -a --delete frontend/ ${DEPLOY_DIR}/frontend/ || cp -r frontend/ ${DEPLOY_DIR}/frontend/
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echo "=== Building Docker Images ==="
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cd ${DEPLOY_DIR}
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docker-compose build backend mcp-server frontend
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"""
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}
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}
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stage('Deploy') {
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steps {
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sh """
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cd ${DEPLOY_DIR}
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echo "=== Rolling Deploy (앱만 재시작, DB/Redis 유지) ==="
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docker-compose stop backend mcp-server frontend 2>/dev/null || true
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docker-compose up -d
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echo "=== Waiting for health check ==="
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sleep 15
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for i in 1 2 3 4 5; do
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if curl -sf http://localhost:8000/health > /dev/null 2>&1; then
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echo "Backend is healthy!"
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break
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fi
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echo "Waiting for backend... (\$i/5)"
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sleep 5
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done
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docker-compose ps
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"""
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}
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}
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stage('DB Migration') {
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steps {
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sh """
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cd ${DEPLOY_DIR}
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docker-compose exec -T backend alembic upgrade head || echo "WARNING: Migration failed!"
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"""
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}
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}
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}
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post {
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success {
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echo 'Deployment successful!'
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}
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failure {
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echo 'Deployment failed!'
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sh """
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cd ${DEPLOY_DIR} 2>/dev/null && docker-compose logs --tail=30 backend mcp-server 2>/dev/null || true
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"""
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}
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always {
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cleanWs()
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}
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}
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}
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