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Netlify MCP 持续部署

本指南介绍如何使用 Netlify MCP 来实现自动化的持续部署流程,让 ByteBuddy 能够智能管理部署管道。

概述

Netlify MCP 提供了对 Netlify 平台的深度集成,让 ByteBuddy 能够:

  • 自动部署应用
  • 管理部署环境
  • 监控部署状态
  • 回滚失败的部署

配置

1. 安装 Netlify MCP

bash
npm install -g netlify-mcp-server

2. 配置 ByteBuddy

json
{
  "mcpServers": {
    "netlify": {
      "command": "node",
      "args": ["netlify-mcp-server"],
      "env": {
        "NETLIFY_AUTH_TOKEN": "your-netlify-token",
        "NETLIFY_SITE_ID": "your-site-id"
      }
    }
  }
}

3. 获取 Netlify Token

bash
# 生成访问令牌
netlify login
netlify tokens:create --description="ByteBuddy MCP"

使用场景

场景 1: 智能部署决策

typescript
// 智能部署决策系统
class SmartDeployment {
  async shouldDeploy(deployConfig: any): Promise<boolean> {
    // 检查代码质量
    const qualityCheck = await this.checkCodeQuality(deployConfig.commit);
    if (!qualityCheck.passed) {
      console.log("代码质量检查未通过,取消部署");
      return false;
    }

    // 检查测试覆盖率
    const testCoverage = await this.checkTestCoverage(deployConfig.commit);
    if (testCoverage < 80) {
      console.log(`测试覆盖率 ${testCoverage}% 低于阈值,取消部署`);
      return false;
    }

    // 检查依赖安全性
    const securityCheck = await this.checkDependenciesSecurity(
      deployConfig.commit,
    );
    if (!securityCheck.safe) {
      console.log("发现安全漏洞,取消部署");
      return false;
    }

    return true;
  }

  async deploy(deployConfig: any) {
    const shouldDeploy = await this.shouldDeploy(deployConfig);

    if (!shouldDeploy) {
      return { success: false, reason: "Pre-deployment checks failed" };
    }

    try {
      const deployment = await mcp.call("netlify.deploy", {
        site_id: deployConfig.siteId,
        dir: deployConfig.buildDir,
        functions_dir: deployConfig.functionsDir,
        draft: deployConfig.draft || false,
        message: deployConfig.message,
        branch: deployConfig.branch,
      });

      // 监控部署状态
      await this.monitorDeployment(deployment.id);

      return { success: true, deployment };
    } catch (error) {
      return { success: false, error: error.message };
    }
  }
}

场景 2: 多环境管理

typescript
// 多环境部署管理
class EnvironmentManager {
  async deployToEnvironments(commit: string, environments: string[]) {
    const deployments = [];

    for (const env of environments) {
      const config = await this.getEnvironmentConfig(env);
      const deployment = await this.deployToEnvironment(commit, config);
      deployments.push({ environment: env, deployment });
    }

    return deployments;
  }

  private async deployToEnvironment(commit: string, config: any) {
    // 准备环境特定配置
    const envConfig = await this.prepareEnvironmentConfig(config);

    // 构建应用
    await this.buildForEnvironment(envConfig);

    // 部署到目标环境
    return await mcp.call("netlify.deploy", {
      site_id: config.siteId,
      dir: envConfig.buildDir,
      functions_dir: envConfig.functionsDir,
      env: envConfig.environmentVars,
      alias: config.alias,
      message: `Deploy ${commit} to ${config.name}`,
    });
  }

  async rollbackEnvironment(environment: string, targetDeployment?: string) {
    const config = await this.getEnvironmentConfig(environment);

    if (targetDeployment) {
      return await mcp.call("netlify.rollback", {
        site_id: config.siteId,
        deploy_id: targetDeployment,
      });
    } else {
      // 回滚到上一个稳定部署
      const previousStable =
        await this.findPreviousStableDeployment(environment);
      return await mcp.call("netlify.rollback", {
        site_id: config.siteId,
        deploy_id: previousStable.id,
      });
    }
  }
}

部署管道

1. 完整部署管道

typescript
// 完整的部署管道
class DeploymentPipeline {
  async execute(deploymentRequest: any) {
    const pipeline = [
      "validation",
      "build",
      "test",
      "security",
      "deploy",
      "verification",
    ];

    const context = {
      ...deploymentRequest,
      startTime: new Date(),
      stage: "validation",
    };

    for (const stage of pipeline) {
      try {
        context.stage = stage;
        await this.executeStage(stage, context);
      } catch (error) {
        await this.handlePipelineFailure(stage, context, error);
        throw error;
      }
    }

    return {
      success: true,
      deployment: context.deployment,
      duration: Date.now() - context.startTime.getTime(),
    };
  }

  private async executeStage(stage: string, context: any) {
    const stages = {
      validation: () => this.validateDeployment(context),
      build: () => this.buildApplication(context),
      test: () => this.runTests(context),
      security: () => this.securityScan(context),
      deploy: () => this.deployApplication(context),
      verification: () => this.verifyDeployment(context),
    };

    await stages[stage]();
  }

  private async validateDeployment(context: any) {
    // 检查分支权限
    await this.checkBranchPermissions(context.branch, context.user);

    // 检查部署配置
    await this.validateDeployConfig(context.config);

    // 检查资源限制
    await this.checkResourceLimits(context.siteId);
  }

  private async verifyDeployment(context: any) {
    // 健康检查
    await this.healthCheck(context.deployment.url);

    // 端到端测试
    await this.runE2ETests(context.deployment.url);

    // 性能测试
    await this.performanceTest(context.deployment.url);
  }
}

2. A/B 测试部署

typescript
// A/B 测试部署
class ABTestingDeployment {
  async deployABTest(testConfig: any) {
    // 部署版本 A
    const deploymentA = await mcp.call("netlify.deploy", {
      site_id: testConfig.siteId,
      dir: testConfig.versionA.buildDir,
      alias: testConfig.versionA.alias,
      message: `Version A for AB test: ${testConfig.name}`,
    });

    // 部署版本 B
    const deploymentB = await mcp.call("netlify.deploy", {
      site_id: testConfig.siteId,
      dir: testConfig.versionB.buildDir,
      alias: testConfig.versionB.alias,
      message: `Version B for AB test: ${testConfig.name}`,
    });

    // 配置流量分割
    await this.setupTrafficSplitting({
      siteId: testConfig.siteId,
      branches: [
        { branch: deploymentA.branch, weight: testConfig.trafficSplitA },
        { branch: deploymentB.branch, weight: testConfig.trafficSplitB },
      ],
    });

    // 设置分析跟踪
    await this.setupAnalytics(testConfig);

    return {
      deploymentA,
      deploymentB,
      testConfig,
    };
  }

  async analyzeABTestResults(testId: string) {
    const results = await mcp.call("netlify.getAnalytics", {
      test_id: testId,
      metrics: [
        "page_views",
        "conversion_rate",
        "bounce_rate",
        "session_duration",
      ],
    });

    const analysis = await this.compareVersions(results);

    return {
      winner: analysis.winner,
      confidence: analysis.confidence,
      recommendations: analysis.recommendations,
      raw_data: results,
    };
  }
}

监控和告警

1. 部署监控

typescript
// 部署监控系统
class DeploymentMonitor {
  async monitorDeployment(deploymentId: string) {
    const monitor = setInterval(async () => {
      const status = await mcp.call("netlify.getDeployStatus", {
        deploy_id: deploymentId,
      });

      console.log(`部署状态: ${status.state} - ${status.message}`);

      if (status.state === "ready") {
        clearInterval(monitor);
        await this.notifyDeploymentSuccess(deploymentId);
      } else if (status.state === "error") {
        clearInterval(monitor);
        await this.notifyDeploymentFailure(deploymentId, status.message);
      }
    }, 5000);

    return monitor;
  }

  async checkDeploymentHealth(url: string) {
    const healthChecks = [
      this.checkHTTPStatus(url),
      this.checkResponseTime(url),
      this.checkSSLCertificate(url),
      this.checkContentAvailability(url),
    ];

    const results = await Promise.allSettled(healthChecks);

    return {
      healthy: results.every((r) => r.status === "fulfilled"),
      checks: results.map((r, i) => ({
        name: ["HTTP Status", "Response Time", "SSL Certificate", "Content"][i],
        status: r.status,
        value: r.status === "fulfilled" ? r.value : r.reason,
      })),
    };
  }
}

2. 告警系统

typescript
// 智能告警系统
class AlertSystem {
  async checkAndAlert(deploymentId: string) {
    const deployment = await mcp.call("netlify.getDeployment", {
      deploy_id: deploymentId,
    });

    const alerts = [];

    // 检查部署失败
    if (deployment.state === "error") {
      alerts.push({
        type: "deployment_failure",
        severity: "high",
        message: `部署失败: ${deployment.error_message}`,
        actions: ["investigate_logs", "rollback", "notify_team"],
      });
    }

    // 检查性能退化
    const performance = await this.checkPerformanceMetrics(deployment.url);
    if (performance.regression > 0.2) {
      alerts.push({
        type: "performance_regression",
        severity: "medium",
        message: `性能下降 ${performance.regression * 100}%`,
        actions: ["analyze_bundle", "check_cdn", "optimize_images"],
      });
    }

    // 检查错误率上升
    const errors = await this.checkErrorRate(deployment.url);
    if (errors.rate > 0.05) {
      alerts.push({
        type: "error_rate_spike",
        severity: "high",
        message: `错误率 ${(errors.rate * 100).toFixed(2)}%`,
        actions: ["check_logs", "rollback", "hotfix"],
      });
    }

    for (const alert of alerts) {
      await this.sendAlert(alert);
    }

    return alerts;
  }
}

CI/CD 集成

1. GitHub Actions 集成

yaml
# .github/workflows/deploy.yml
name: Deploy to Netlify
on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: "18"
          cache: "npm"

      - name: Install dependencies
        run: npm ci

      - name: Run tests
        run: npm test

      - name: Build application
        run: npm run build
        env:
          VITE_API_URL: ${{ secrets.API_URL }}

      - name: Setup ByteBuddy
        run: |
          npm install -g bytebuddy
          bytebuddy --setup-netlify-mcp

      - name: Deploy to Netlify
        env:
          NETLIFY_AUTH_TOKEN: ${{ secrets.NETLIFY_AUTH_TOKEN }}
          NETLIFY_SITE_ID: ${{ secrets.NETLIFY_SITE_ID }}
        run: |
          if [ "${{ github.ref }}" = "refs/heads/main" ]; then
            bytebuddy --netlify-deploy \
              --dir dist \
              --env production \
              --message "Deploy from GitHub Actions"
          else
            bytebuddy --netlify-deploy \
              --dir dist \
              --draft \
              --message "Preview deploy from PR #${{ github.event.number }}"
          fi

2. 质量门禁

typescript
// 部署质量门禁
class QualityGate {
  async checkQualityGate(commit: string, environment: string) {
    const checks = {
      code: await this.checkCodeQuality(commit),
      security: await this.checkSecurity(commit),
      performance: await this.checkPerformance(commit),
      documentation: await this.checkDocumentation(commit),
      tests: await this.checkTestResults(commit),
    };

    const allPassed = Object.values(checks).every((check) => check.passed);

    if (!allPassed) {
      const failedChecks = Object.entries(checks)
        .filter(([_, check]) => !check.passed)
        .map(([name, check]) => ({ name, reason: check.reason }));

      throw new Error(
        `质量门禁失败: ${failedChecks.map((c) => c.name).join(", ")}`,
      );
    }

    return { passed: true, checks };
  }
}

最佳实践

1. 部署策略

typescript
// 蓝绿部署
class BlueGreenDeployment {
  async blueGreenDeploy(deployConfig: any) {
    const currentProduction = await this.getCurrentProduction(
      deployConfig.siteId,
    );

    // 部署到绿色环境
    const greenDeployment = await mcp.call("netlify.deploy", {
      site_id: deployConfig.siteId,
      dir: deployConfig.buildDir,
      alias: "green",
      message: "Green deployment",
    });

    // 验证绿色环境
    const greenHealth = await this.verifyDeployment(greenDeployment.url);
    if (!greenHealth.healthy) {
      throw new Error("绿色环境健康检查失败");
    }

    // 切换流量
    await this.switchTraffic(deployConfig.siteId, "green");

    // 清理蓝色环境
    await this.cleanupOldDeployments(currentProduction.id);

    return greenDeployment;
  }
}

通过 Netlify MCP,ByteBuddy 可以提供智能化的持续部署解决方案,确保应用的安全性和可靠性。