MCP Advisor

#!/bin/bash # MCPAdvisor 端到端测试启动脚本 # 自动启动 MCP Inspector 并运行 Playwright 测试 set -e echo "🚀 开始 MCPAdvisor 端到端测试流程" echo "=======================================" # 清理函数 cleanup() { echo "" echo "🧹 清理进程..." if [[ -n $MCP_INSPECTOR_PID ]]; then kill $MCP_INSPECTOR_PID 2>/dev/null || true echo "✅ MCP Inspector 进程已终止" fi # 额外清理可能占用端口的进程 cleanup_ports exit 0 } # 清理端口占用 cleanup_ports() { local ports=(6274 6277) for port in "${ports[@]}"; do local pids=$(lsof -ti :$port 2>/dev/null || true) if [[ -n "$pids" ]]; then echo "🧹 清理端口 $port 上的进程: $pids" kill -9 $pids 2>/dev/null || true fi done # 额外清理 inspector 相关进程 pkill -f "inspector" 2>/dev/null || true sleep 2 } # 设置信号处理 trap cleanup SIGINT SIGTERM # 第一步：构建项目 echo "📦 构建 MCPAdvisor..." pnpm run build if [ $? -ne 0 ]; then echo "❌ 构建失败" exit 1 fi echo "✅ 构建完成" # 第二步：启动 MCP Inspector echo "" echo "🔄 启动 MCP Inspector..." # 先清理可能占用的端口 echo "🧹 清理现有端口占用..." cleanup_ports ENABLE_FILE_LOGGING=true mcp-inspector node "$(pwd)/build/index.js" > mcp-inspector.log 2>&1 & MCP_INSPECTOR_PID=$! echo "⏳ 等待 MCP Inspector 启动..." # 等待并解析 MCP Inspector 输出 timeout=30 count=0 INSPECTOR_URL="" AUTH_TOKEN="" while [ $count -lt $timeout ]; do if [[ -f mcp-inspector.log ]]; then # 检查是否有 URL 和 token if grep -q "inspector with token pre-filled" mcp-inspector.log; then INSPECTOR_URL=$(grep -o "http://localhost:[0-9]*/?MCP_PROXY_AUTH_TOKEN=[a-f0-9]*" mcp-inspector.log | head -1) if [[ -n $INSPECTOR_URL ]]; then # 提取 token AUTH_TOKEN=$(echo $INSPECTOR_URL | grep -o "MCP_PROXY_AUTH_TOKEN=[a-f0-9]*" | cut -d'=' -f2) BASE_URL=$(echo $INSPECTOR_URL | cut -d'?' -f1) break fi fi fi sleep 1 count=$((count + 1)) done if [[ -z $INSPECTOR_URL ]]; then echo "❌ MCP Inspector 启动失败或超时" echo "日志内容：" cat mcp-inspector.log 2>/dev/null || echo "无法读取日志文件" cleanup fi echo "✅ MCP Inspector 已启动" echo "📍 URL: $BASE_URL" echo "🔑 Token: $AUTH_TOKEN" # 第三步：等待服务就绪 echo "" echo "⏳ 等待服务就绪..." for i in {1..10}; do if curl -s "$BASE_URL/health" > /dev/null 2>&1; then echo "✅ 服务就绪" break fi if [ $i -eq 10 ]; then echo "❌ 服务未就绪，超时" cleanup fi sleep 2 done # 第四步：运行 Playwright 测试 echo "" echo "🧪 运行 Playwright 测试..." echo "使用 URL: $INSPECTOR_URL" # 导出环境变量供 Playwright 使用 export MCP_AUTH_TOKEN="$AUTH_TOKEN" export MCP_INSPECTOR_URL="$BASE_URL" # 运行测试（根据参数选择模式） TEST_MODE=${1:-"headed"} case $TEST_MODE in "headless") echo "🔧 运行无头模式测试..." NODE_OPTIONS='--no-deprecation' npx playwright test ;; "debug") echo "🐛 运行调试模式测试..." NODE_OPTIONS='--no-deprecation' npx playwright test --debug ;; "ui") echo "🎨 运行 UI 模式测试..." NODE_OPTIONS='--no-deprecation' npx playwright test --ui ;; *) echo "👀 运行有头模式测试..." NODE_OPTIONS='--no-deprecation' npx playwright test --headed ;; esac TEST_EXIT_CODE=$? # 第五步：显示结果 echo "" echo "=======================================" if [ $TEST_EXIT_CODE -eq 0 ]; then echo "✅ 测试完成！所有测试通过" else echo "❌ 测试完成，但有测试失败" echo "📊 查看详细报告: npx playwright show-report" fi echo "" echo "📊 测试报告和截图位置: test-results/" echo "🔗 Inspector 仍在运行: $INSPECTOR_URL" echo "" echo "按 Ctrl+C 停止 Inspector 并退出..." # 保持脚本运行直到用户中断 while true; do sleep 1 done