快速部署到海外服务器。将部署文件上传到 S3 再通过跳板机前往对应的机器执行部署
海外的 VPS 延迟较高，部署不是很流畅，国内可是使用 deploy-cli-service 脚本使用 node 编写，代码全部来自于 ChatGPT。方法就是通过一台延迟比较低的服务器 ssh 连上后再连另一台延迟较高的服务器，再执行对应的命令，有其他需要可以自行更改，DIY 编写的灵活度较高。
下面的示例是一个 vue 项目，先将 dist 打包成 zip，上传到 s3，连接 ssh，下载到指定目录再解压。
在原有的 node 或 js 项目上安装依赖到 dev
- 若是其他项目则要重新初始化一下
npm init
pnpm i fs archiver aws-sdk ssh2 dayjs -D
- 使用到
aws-sdk需要去看下对应的文档初始化一下本地的 aws 密钥
const fs = require('fs');
const archiver = require('archiver');
const AWS = require('aws-sdk');
const Client = require('ssh2').Client;
const dayjs = require('dayjs')
const jumpHost = {
host: 'xxx.xxx.xxx.xxx',
port: 22,
username: 'root',
password: 'xxxxxx'
};
const targetServer = {
host: 'xxx.xxx.xxx.xxx',
port: 22,
username: 'root',
password: 'xxxxxx'
};
const today = dayjs().format('MMDD_HHmm')
const filename = `dist_${today}.zip`
const fileS3Key = `public/xxxxxx/${filename}`
const fileSite = `https://xxxxxx.s3.amazonaws.com`
const fileUrl = `${fileSite}/${fileS3Key}`
const webDir = "/www/wwwroot/xxx.xxx.com"
# backDir 这里的备份文件夹需要先创建，命令没有自动创建
const backDir = "/opt/works/xxx/xxx_back"
const fileS3Bucket = "xxx"
async function zip () {
const output = fs.createWriteStream(filename);
const archive = archiver('zip', {
zlib: { level: 9 } // Sets the compression level.
});
output.on('close', function () {
console.log(archive.pointer() + ' total bytes');
console.log('archiver has been finalized and the output file descriptor has closed.');
});
archive.on('error', function (err) {
throw err;
});
archive.pipe(output);
// 从子目录追加文件并在存档中将其命名为“new-subdir”（您也可以像这样将文件调用链接在一起）
// 如果为 destpath 传递 false，则存档中数据块的路径设置为根目录
archive.directory('./dist', false);
return archive.finalize();
}
async function uploadS3 () {
return new Promise((resolve, reject) => {
const s3 = new AWS.S3();
const fileStream = fs.createReadStream(filename);
let uploadedBytes = 0;
fileStream.on('data', function (chunk) {
uploadedBytes += chunk.length;
console.log('Uploaded', uploadedBytes / 1024, 'bytes');
});
const uploadParams = {
Bucket: fileS3Bucket,
Key: fileS3Key,
Body: fileStream,
partSize: 2 * 1024 * 1024, // 10 MB per part
queueSize: 10 // 10 parts uploaded in parallel
};
s3.upload(uploadParams, function (err, data) {
if (err) {
console.log('Error uploading file:', err);
reject(err)
} else {
console.log('File uploaded successfully:', data.Location);
resolve(data)
}
});
})
}
async function sshServer () {
return new Promise((resolve, reject) => {
const jumpConnection = new Client();
jumpConnection.on('ready', () => {
jumpConnection.forwardOut(
'127.0.0.1',
2222,
targetServer.host,
targetServer.port,
(err, stream) => {
if (err) throw err;
const targetConnection = new Client();
targetConnection.on('ready', () => {
// wget -c -P /opt/works/xxx/xxx_back "https://xxx/dist_0426_1444.zip" && unzip -d /root/temp/0426 dist_0426_1444.zip
let exec = `wget -c -P ${backDir} "${fileUrl}" && unzip -o -d ${webDir} ${backDir}/${filename}`
console.log(`exec ${exec}`)
targetConnection.exec(exec, (err, stream) => {
if (err) {
reject(err)
throw err
}
stream.on('close', (code, signal) => {
console.log(`Command exited with code ${code}`);
targetConnection.end();
jumpConnection.end();
resolve()
}).on('data', (data) => {
console.log(`STDOUT: ${data}`);
}).stderr.on('data', (data) => {
console.log(`STDERR: ${data}`);
});
});
}).connect({
sock: stream,
username: targetServer.username,
password: targetServer.password
});
}
);
}).connect(jumpHost);
})
}
let startTime = new Date().getTime()
zip()
.then(() => uploadS3())
.then(() => sshServer())
.then(() => {
console.log(`All promises executed\n use time ${new Date.getTime() - startTime }ms`)
});node deploy.upload.js或者也可以写在 package.json，在原本的命令上加上 && node deploy.upload.js
"deploy": "vite build --mode prod && node deploy.upload.js".gitignore添加deploy.*.js dist*.zip
- 将 jar 上传并改写前置后置命令
- 只是一个示例，也可以把 s3 相关的步骤给去掉，换成
scp代替 - 多环境的花也别封装了，再复制一份改个名字改参数比较合理
- 代码全部来自 ChatGPT
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