139 lines
5.0 KiB
YAML
139 lines
5.0 KiB
YAML
# ════════════════════════════════════════════════════════════════
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# 光湖 · MCP Server 部署
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# 部署铸渊 MCP Server 到 CVM，让 WorkBuddy 可以一键连接
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# ════════════════════════════════════════════════════════════════
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name: 部署 MCP Server
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on:
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workflow_dispatch:
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inputs:
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action:
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description: '操作: deploy / restart / status'
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default: 'deploy'
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jobs:
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deploy-mcp:
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runs-on: ubuntu
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steps:
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- name: 同步最新代码
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run: |
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cd /data/guanghulab/repo
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git fetch origin
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git reset --hard origin/main
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echo "✅ 代码已同步"
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- name: 安装 MCP Server 依赖
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run: |
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cd /data/guanghulab/repo/server/mcp-server
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if [ -d "node_modules" ]; then
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npm install --production 2>/dev/null || true
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else
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npm install --production
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fi
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echo "✅ 依赖已安装"
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- name: 配置并启动 MCP Server
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env:
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ZY_REPO_TOKEN: ${{ secrets.ZY_REPO_TOKEN }}
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run: |
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ACTION="${{ github.event.inputs.action }}"
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# 注入 Gitea 令牌到 PM2 配置
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cd /data/guanghulab/repo/server/mcp-server
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if [ -n "$ZY_REPO_TOKEN" ]; then
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# 更新 ecosystem.config.js 中的 GITEA_TOKEN
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sed -i "s/GITEA_TOKEN: ''/GITEA_TOKEN: '$ZY_REPO_TOKEN'/" ecosystem.config.js
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echo "✅ Gitea 令牌已注入"
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else
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echo "⚠️ ZY_REPO_TOKEN 未配置"
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fi
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# 创建运行时目录
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mkdir -p /data/guanghulab/mcp-server
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mkdir -p /data/guanghulab/.runtime/logs
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case "$ACTION" in
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deploy)
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# 检查是否已有进程
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if pm2 describe guanghulab-mcp-server &>/dev/null; then
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pm2 restart guanghulab-mcp-server
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echo "✅ MCP Server 已重启"
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else
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pm2 start ecosystem.config.js
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echo "✅ MCP Server 已启动"
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fi
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pm2 save
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;;
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restart)
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pm2 restart guanghulab-mcp-server
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pm2 save
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echo "✅ MCP Server 已重启"
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;;
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status)
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pm2 describe guanghulab-mcp-server || echo "MCP Server 未运行"
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;;
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esac
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- name: 更新 Nginx 配置
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run: |
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# 检查是否已有 /mcp 配置
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if ! grep -q "location /mcp" /etc/nginx/sites-enabled/guanghulab* 2>/dev/null && \
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! grep -q "location /mcp" /etc/nginx/conf.d/guanghulab* 2>/dev/null; then
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echo "⚠️ Nginx 中尚未配置 /mcp 代理，需要手动添加"
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echo " 参考配置: server/nginx/guanghulab-cvm.conf"
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else
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echo "✅ Nginx /mcp 代理已配置"
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fi
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# 测试并重载 Nginx
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nginx -t 2>/dev/null && nginx -s reload 2>/dev/null && echo "✅ Nginx 已重载" || echo "⚠️ Nginx 重载失败（可能需要手动操作）"
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- name: 验证部署
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run: |
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sleep 2
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echo "═══ MCP Server 部署验证 ═══"
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# 检查进程
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if pm2 describe guanghulab-mcp-server &>/dev/null; then
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STATUS=$(pm2 jlist | python3 -c "
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import json,sys
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procs=json.load(sys.stdin)
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for p in procs:
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if p.get('name')=='guanghulab-mcp-server':
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print(p.get('pm2_env',{}).get('status','?'))
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" 2>/dev/null || echo "unknown")
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echo "PM2 状态: $STATUS"
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else
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echo "❌ PM2 中未找到 guanghulab-mcp-server"
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fi
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# 检查健康端点
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if curl -sf http://127.0.0.1:8083/health > /dev/null 2>&1; then
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echo "✅ 健康检查通过"
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curl -s http://127.0.0.1:8083/health | python3 -m json.tool 2>/dev/null
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else
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echo "❌ 健康检查失败"
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fi
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# 显示访问密钥
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if [ -f "/data/guanghulab/mcp-server/.access-key" ]; then
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KEY=$(cat /data/guanghulab/mcp-server/.access-key)
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echo ""
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echo "═══ MCP 连接信息 ═══"
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echo "URL: https://guanghulab.com/mcp"
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echo "密钥: ${KEY:0:8}...${KEY: -8}"
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echo ""
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echo "WorkBuddy 配置:"
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echo '{'
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echo ' "mcpServers": {'
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echo ' "guanghulab": {'
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echo ' "url": "https://guanghulab.com/mcp",'
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echo " \"headers\": { \"Authorization\": \"Bearer \$KEY\" }"
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echo ' }'
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echo ' }'
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echo '}'
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fi
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echo "═══════════════════════════"
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