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-server2. 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 }}"
fi2. 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。