gendesign/.github/workflows/deploy.yml

92 lines
2.8 KiB
YAML

name: Deploy
on:
push:
branches: [main]
workflow_dispatch:
concurrency:
group: deploy-prod
cancel-in-progress: false
env:
IMAGE_BACKEND: ghcr.io/lekss361/gendesign-backend
IMAGE_FRONTEND: ghcr.io/lekss361/gendesign-frontend
jobs:
build-and-deploy:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
if: github.event_name == 'workflow_dispatch' || github.ref == 'refs/heads/main'
steps:
- uses: actions/checkout@v4
- name: Set image tag
id: meta
run: echo "tag=${GITHUB_SHA::7}" >> "$GITHUB_OUTPUT"
- name: Login to GHCR
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Build & push backend
uses: docker/build-push-action@v6
with:
context: ./backend
push: true
cache-from: type=gha,scope=backend
cache-to: type=gha,mode=max,scope=backend
tags: |
${{ env.IMAGE_BACKEND }}:latest
${{ env.IMAGE_BACKEND }}:${{ steps.meta.outputs.tag }}
- name: Build & push frontend
uses: docker/build-push-action@v6
with:
context: ./frontend
push: true
cache-from: type=gha,scope=frontend
cache-to: type=gha,mode=max,scope=frontend
tags: |
${{ env.IMAGE_FRONTEND }}:latest
${{ env.IMAGE_FRONTEND }}:${{ steps.meta.outputs.tag }}
- name: Deploy to VM via SSH
uses: appleboy/ssh-action@v1.0.3
env:
IMAGE_TAG: ${{ steps.meta.outputs.tag }}
with:
host: ${{ secrets.DEPLOY_HOST }}
username: ${{ secrets.DEPLOY_USER }}
key: ${{ secrets.DEPLOY_SSH_KEY }}
port: ${{ secrets.DEPLOY_PORT || 22 }}
envs: IMAGE_TAG
script: |
set -euo pipefail
cd /opt/gendesign
# Sync compose / Caddyfile / init scripts from the repo.
# --ff-only refuses if there are local commits on the VM (we don't expect any).
git fetch origin main
git reset --hard origin/main
export IMAGE_TAG="$IMAGE_TAG"
docker compose -f docker-compose.prod.yml pull
docker compose -f docker-compose.prod.yml up -d
# Caddyfile is bind-mounted; up -d won't re-read it. Reload explicitly.
# `|| true` so a temporary Caddy hiccup doesn't fail the whole deploy.
docker compose -f docker-compose.prod.yml exec -T caddy \
caddy reload --config /etc/caddy/Caddyfile || true
docker image prune -f
sleep 8
curl -fsS http://localhost:8000/health | head -c 200 || true