kcg-monitoring/.gitea/workflows/deploy.yml

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9.1 KiB
YAML

name: Deploy KCG
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# ═══ Frontend ═══
- name: Configure npm registry
run: |
echo "registry=https://nexus.gc-si.dev/repository/npm-public/" > frontend/.npmrc
echo "//nexus.gc-si.dev/repository/npm-public/:_auth=${{ secrets.NEXUS_NPM_AUTH }}" >> frontend/.npmrc
- name: Build frontend
working-directory: frontend
env:
VITE_GOOGLE_CLIENT_ID: ${{ secrets.GOOGLE_CLIENT_ID }}
run: |
npm ci
npx vite build
- name: Deploy frontend
run: |
rm -rf /deploy/kcg/*
cp -r frontend/dist/* /deploy/kcg/
echo "Frontend deployed at $(date '+%Y-%m-%d %H:%M:%S')"
# ═══ Backend ═══
- name: Install JDK 21 + Maven
run: |
apt-get update -qq
apt-get install -y -qq wget apt-transport-https gpg maven openssh-client > /dev/null 2>&1
wget -qO - https://packages.adoptium.net/artifactory/api/gpg/key/public | gpg --dearmor -o /usr/share/keyrings/adoptium.gpg
echo "deb [signed-by=/usr/share/keyrings/adoptium.gpg] https://packages.adoptium.net/artifactory/deb bookworm main" > /etc/apt/sources.list.d/adoptium.list
apt-get update -qq
apt-get install -y -qq temurin-21-jdk > /dev/null 2>&1
echo "JAVA_HOME=/usr/lib/jvm/temurin-21-jdk-amd64" >> $GITHUB_ENV
echo "/usr/lib/jvm/temurin-21-jdk-amd64/bin" >> $GITHUB_PATH
/usr/lib/jvm/temurin-21-jdk-amd64/bin/java -version
mvn --version
- name: Build backend
working-directory: backend
run: mvn -B clean package -DskipTests
- name: Deploy backend files
env:
GOOGLE_CLIENT_ID: ${{ secrets.GOOGLE_CLIENT_ID }}
JWT_SECRET: ${{ secrets.JWT_SECRET }}
DB_PASSWORD: ${{ secrets.DB_PASSWORD }}
OPENSKY_CLIENT_ID: ${{ secrets.OPENSKY_CLIENT_ID }}
OPENSKY_CLIENT_SECRET: ${{ secrets.OPENSKY_CLIENT_SECRET }}
run: |
DEPLOY_DIR=/deploy/kcg-backend
mkdir -p $DEPLOY_DIR/backup
# JAR 백업 (최근 5개 유지)
if [ -f $DEPLOY_DIR/kcg.jar ]; then
cp $DEPLOY_DIR/kcg.jar $DEPLOY_DIR/backup/kcg-$(date +%Y%m%d%H%M%S).jar
ls -t $DEPLOY_DIR/backup/*.jar | tail -n +6 | xargs -r rm
fi
# Secrets → 환경변수 파일
: > $DEPLOY_DIR/.env
[ -n "$GOOGLE_CLIENT_ID" ] && echo "GOOGLE_CLIENT_ID=${GOOGLE_CLIENT_ID}" >> $DEPLOY_DIR/.env
[ -n "$JWT_SECRET" ] && echo "JWT_SECRET=${JWT_SECRET}" >> $DEPLOY_DIR/.env
[ -n "$DB_PASSWORD" ] && echo "DB_PASSWORD=${DB_PASSWORD}" >> $DEPLOY_DIR/.env
[ -n "$OPENSKY_CLIENT_ID" ] && echo "OPENSKY_CLIENT_ID=${OPENSKY_CLIENT_ID}" >> $DEPLOY_DIR/.env
[ -n "$OPENSKY_CLIENT_SECRET" ] && echo "OPENSKY_CLIENT_SECRET=${OPENSKY_CLIENT_SECRET}" >> $DEPLOY_DIR/.env
echo "PREDICTION_BASE_URL=http://192.168.1.18:8001" >> $DEPLOY_DIR/.env
# JAR 내부에 application-prod.yml이 있으면 외부 파일 제거
if unzip -l backend/target/kcg.jar | grep -q 'application-prod.yml$'; then
rm -f $DEPLOY_DIR/application-prod.yml
echo "JAR 내부 application-prod.yml 감지 → 외부 파일 제거"
fi
# systemd 서비스 파일 배포
cp deploy/kcg-backend.service $DEPLOY_DIR/kcg-backend.service
# JAR 교체
cp backend/target/kcg.jar $DEPLOY_DIR/kcg.jar
echo "Backend files deployed at $(date '+%Y-%m-%d %H:%M:%S')"
- name: Restart backend via SSH
env:
DEPLOY_KEY: ${{ secrets.DEPLOY_SSH_KEY }}
DEPLOY_HOST: 192.168.1.20
run: |
mkdir -p ~/.ssh
printf '%s\n' "$DEPLOY_KEY" > ~/.ssh/id_deploy
chmod 600 ~/.ssh/id_deploy
ssh-keyscan -T 5 $DEPLOY_HOST >> ~/.ssh/known_hosts 2>/dev/null || true
SSH_OPTS="-i ~/.ssh/id_deploy -o StrictHostKeyChecking=no -o ConnectTimeout=10 -o ServerAliveInterval=15"
# 재시작 스크립트를 SCP로 업로드 후 SSH로 실행 (각각 재시도)
cat > /tmp/restart-kcg.sh << 'SCRIPT'
#!/bin/bash
DEPLOY_DIR=/devdata/services/kcg/backend
SYSTEMD_DIR=/etc/systemd/system
if [ -f "$DEPLOY_DIR/kcg-backend.service" ] && ! diff -q "$DEPLOY_DIR/kcg-backend.service" "$SYSTEMD_DIR/kcg-backend.service" >/dev/null 2>&1; then
cp "$DEPLOY_DIR/kcg-backend.service" "$SYSTEMD_DIR/kcg-backend.service"
systemctl daemon-reload
fi
echo "--- Restarting kcg-backend ---"
systemctl restart kcg-backend
for i in $(seq 1 60); do
HTTP=$(curl -s -o /dev/null -w '%{http_code}' http://localhost:8080/api/aircraft 2>/dev/null || echo "000")
if [ "$HTTP" = "200" ] || [ "$HTTP" = "401" ] || [ "$HTTP" = "403" ]; then
echo "Backend started successfully (${i}s, HTTP $HTTP)"
exit 0
fi
sleep 1
done
echo "WARNING: Startup timeout"
journalctl -u kcg-backend --no-pager -n 10
exit 1
SCRIPT
# SCP 업로드 (최대 3회 재시도)
for attempt in 1 2 3; do
echo "SCP upload attempt $attempt/3..."
if scp $SSH_OPTS /tmp/restart-kcg.sh root@$DEPLOY_HOST:/tmp/restart-kcg.sh; then
break
fi
[ "$attempt" -eq 3 ] && { echo "ERROR: SCP failed after 3 attempts"; exit 1; }
sleep 10
done
# SSH 실행 (최대 3회 재시도)
for attempt in 1 2 3; do
echo "SSH execute attempt $attempt/3..."
if ssh $SSH_OPTS root@$DEPLOY_HOST "bash /tmp/restart-kcg.sh && rm -f /tmp/restart-kcg.sh"; then
exit 0
fi
SSH_EXIT=$?
[ "$attempt" -eq 3 ] && { echo "ERROR: SSH failed after 3 attempts (exit $SSH_EXIT)"; exit 1; }
echo "SSH failed (exit $SSH_EXIT), retrying in 10s..."
sleep 10
done
# ═══ Prediction (FastAPI → redis-211) ═══
- name: Deploy prediction via SSH
env:
DEPLOY_KEY: ${{ secrets.DEPLOY_SSH_KEY }}
PRED_HOST: 192.168.1.18
PRED_PORT: 32023
run: |
mkdir -p ~/.ssh
printf '%s\n' "$DEPLOY_KEY" > ~/.ssh/id_deploy
chmod 600 ~/.ssh/id_deploy
SSH_OPTS="-i ~/.ssh/id_deploy -o StrictHostKeyChecking=no -o ConnectTimeout=10 -o ServerAliveInterval=15 -p $PRED_PORT"
SCP_OPTS="-i ~/.ssh/id_deploy -o StrictHostKeyChecking=no -P $PRED_PORT"
REMOTE_DIR=/home/apps/kcg-prediction
# 코드 전송 (rsync 대체: tar + scp)
tar czf /tmp/prediction.tar.gz -C prediction --exclude='__pycache__' --exclude='venv' --exclude='.env' .
for attempt in 1 2 3; do
echo "SCP prediction attempt $attempt/3..."
if scp $SCP_OPTS /tmp/prediction.tar.gz root@$PRED_HOST:/tmp/prediction.tar.gz; then break; fi
[ "$attempt" -eq 3 ] && { echo "ERROR: SCP failed"; exit 1; }
sleep 10
done
# systemd 서비스 파일 전송
scp $SCP_OPTS deploy/kcg-prediction.service root@$PRED_HOST:/tmp/kcg-prediction.service
# 원격 설치 + 재시작 (단일 SSH — tar.gz는 SCP에서 이미 전송됨)
ssh $SSH_OPTS root@$PRED_HOST bash -s << 'SCRIPT'
set -e
REMOTE_DIR=/home/apps/kcg-prediction
mkdir -p $REMOTE_DIR
cd $REMOTE_DIR
# 코드 배포
tar xzf /tmp/prediction.tar.gz -C $REMOTE_DIR
# venv + 의존성
python3 -m venv venv 2>/dev/null || true
venv/bin/pip install -r requirements.txt -q
# SELinux 컨텍스트 (Rocky Linux)
chcon -R -t bin_t venv/bin/ 2>/dev/null || true
# systemd 서비스 갱신
if ! diff -q /tmp/kcg-prediction.service /etc/systemd/system/kcg-prediction.service >/dev/null 2>&1; then
cp /tmp/kcg-prediction.service /etc/systemd/system/kcg-prediction.service
systemctl daemon-reload
systemctl enable kcg-prediction
fi
# 재시작
systemctl restart kcg-prediction
# health 확인 (60초 — 초기 로드에 ~30초 소요)
for i in $(seq 1 12); do
if curl -sf http://localhost:8001/health > /dev/null 2>&1; then
echo "Prediction healthy (attempt ${i})"
rm -f /tmp/prediction.tar.gz /tmp/kcg-prediction.service
exit 0
fi
sleep 5
done
echo "WARNING: Prediction health timeout (서비스는 시작됨, 초기 로드 진행 중)"
systemctl is-active kcg-prediction && echo "Service is active"
rm -f /tmp/prediction.tar.gz /tmp/kcg-prediction.service
SCRIPT
echo "Prediction deployment completed"
- name: Cleanup
if: always()
run: rm -f ~/.ssh/id_deploy