Initial commit: 浼佷笟寰俊 AI 鏈哄櫒浜哄姪鐞?MVP
Co-authored-by: Cursor <cursoragent@cursor.com>
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bujie9527
178
.github/workflows/deploy.yml
vendored
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178
.github/workflows/deploy.yml
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# 生产环境自动部署
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# 触发条件：push 到 main 分支
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# 功能：构建 backend 镜像 → 推送到 GHCR → SSH 部署到云服务器 → 健康检查
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name: Deploy to Production
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on:
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push:
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branches: [main]
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workflow_dispatch:
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inputs:
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image_tag:
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description: '镜像标签（默认: latest）'
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required: false
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default: 'latest'
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env:
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REGISTRY: ghcr.io
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IMAGE_NAME_BACKEND: wecom-ai-backend
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jobs:
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# 构建并推送 Backend 镜像
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build-backend:
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runs-on: ubuntu-latest
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outputs:
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image_tag: ${{ steps.meta.outputs.tags }}
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image_digest: ${{ steps.build.outputs.digest }}
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Log in to Container Registry
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Extract metadata
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id: meta
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uses: docker/metadata-action@v5
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with:
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images: ${{ env.REGISTRY }}/${{ github.repository_owner }}/${{ env.IMAGE_NAME_BACKEND }}
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tags: |
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type=raw,value=latest
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type=sha,prefix={{branch}}-
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type=sha,format=short
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- name: Build and push backend image
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id: build
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uses: docker/build-push-action@v6
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with:
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context: .
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file: ./deploy/docker/backend.Dockerfile
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push: true
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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cache-from: type=gha
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cache-to: type=gha,mode=max
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# 部署到生产服务器
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deploy:
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runs-on: ubuntu-latest
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needs: build-backend
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if: github.ref == 'refs/heads/main'
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Set deployment variables
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id: vars
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run: |
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if [ "${{ github.event_name }}" == "workflow_dispatch" ]; then
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echo "image_tag=${{ github.event.inputs.image_tag }}" >> $GITHUB_OUTPUT
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else
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echo "image_tag=latest" >> $GITHUB_OUTPUT
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fi
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echo "domain=${{ secrets.PROD_DOMAIN }}" >> $GITHUB_OUTPUT
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- name: Prepare deployment token
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id: prepare-token
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run: |
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if [ -n "${{ secrets.GHCR_TOKEN }}" ]; then
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echo "token=${{ secrets.GHCR_TOKEN }}" >> $GITHUB_OUTPUT
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else
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echo "token=${{ secrets.GITHUB_TOKEN }}" >> $GITHUB_OUTPUT
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fi
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- name: Deploy to production server
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uses: appleboy/ssh-action@v1.0.0
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env:
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DEPLOY_TOKEN: ${{ steps.prepare-token.outputs.token }}
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with:
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host: ${{ secrets.PROD_HOST }}
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username: ${{ secrets.PROD_USER }}
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key: ${{ secrets.PROD_SSH_KEY }}
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port: ${{ secrets.PROD_SSH_PORT || 22 }}
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script: |
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set -e
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# 设置变量
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IMAGE_TAG="${{ steps.vars.outputs.image_tag }}"
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GITHUB_REPOSITORY_OWNER="${{ github.repository_owner }}"
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REGISTRY="${{ env.REGISTRY }}"
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IMAGE_NAME_BACKEND="${{ env.IMAGE_NAME_BACKEND }}"
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APP_PATH="${{ secrets.PROD_APP_PATH || '/opt/wecom-ai-assistant' }}"
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# 进入项目目录
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cd "${APP_PATH}" || { echo "错误: 无法进入目录 ${APP_PATH}"; exit 1; }
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# 登录到容器镜像仓库
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echo "${DEPLOY_TOKEN}" | docker login "${REGISTRY}" -u "${{ github.actor }}" --password-stdin || {
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echo "警告: Docker 登录失败，尝试继续部署（可能使用本地镜像）"
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}
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# 拉取最新镜像
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IMAGE_FULL="${REGISTRY}/${GITHUB_REPOSITORY_OWNER}/${IMAGE_NAME_BACKEND}:${IMAGE_TAG}"
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echo "拉取镜像: ${IMAGE_FULL}"
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docker pull "${IMAGE_FULL}" || {
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echo "警告: 拉取镜像失败，尝试使用 latest 标签"
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docker pull "${REGISTRY}/${GITHUB_REPOSITORY_OWNER}/${IMAGE_NAME_BACKEND}:latest"
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IMAGE_TAG="latest"
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}
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# 设置环境变量供 docker-compose 使用
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export IMAGE_TAG="${IMAGE_TAG}"
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export GITHUB_REPOSITORY_OWNER="${GITHUB_REPOSITORY_OWNER}"
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# 更新服务
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echo "更新服务..."
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docker compose -f docker-compose.prod.yml --env-file .env.prod pull backend 2>/dev/null || true
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docker compose -f docker-compose.prod.yml --env-file .env.prod up -d --force-recreate backend
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# 等待服务启动
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echo "等待服务启动..."
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sleep 15
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# 检查服务状态
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echo "服务状态:"
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docker compose -f docker-compose.prod.yml ps
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# 检查后端健康状态
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echo "检查后端健康状态..."
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for i in {1..10}; do
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if docker compose -f docker-compose.prod.yml exec -T backend python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/api/health')" 2>/dev/null; then
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echo "✓ 后端服务健康"
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break
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fi
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if [ $i -eq 10 ]; then
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echo "⚠ 后端服务可能未就绪，请检查日志"
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else
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sleep 2
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fi
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done
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- name: Health check
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run: |
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DOMAIN=${{ secrets.PROD_DOMAIN }}
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MAX_RETRIES=30
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RETRY_COUNT=0
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echo "健康检查: https://${DOMAIN}/api/health"
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while [ $RETRY_COUNT -lt $MAX_RETRIES ]; do
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if curl -f -s "https://${DOMAIN}/api/health" > /dev/null 2>&1; then
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echo "✓ 健康检查通过"
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exit 0
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fi
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RETRY_COUNT=$((RETRY_COUNT + 1))
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echo "等待服务就绪... ($RETRY_COUNT/$MAX_RETRIES)"
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sleep 2
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done
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echo "✗ 健康检查失败"
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exit 1
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