a .看一下文件模块。它有一个叫walk的函数:

文件。步行(开始,回调) 导航文件树，为每个目录调用回调，传入 (null, dirPath, dirs, files)。

这可能是为你准备的!是的，它是异步的。但是，如果需要的话，我认为您必须自己聚合完整的路径。

B.另一种选择，甚至是我的最爱之一:使用unix find来查找。为什么要再做一件已经编程好的事情呢?也许不是你真正需要的，但仍然值得一试:

var execFile = require('child_process').execFile;
execFile('find', [ 'somepath/' ], function(err, stdout, stderr) {
  var file_list = stdout.split('\n');
  /* now you've got a list with full path file names */
});

Find有一个很好的内置缓存机制，使得后续搜索非常快，只要只有少数文件夹被更改。

这是我如何使用nodejs的fs。递归搜索目录的Readdir函数。

const fs = require('fs');
const mime = require('mime-types');
const readdirRecursivePromise = path => {
    return new Promise((resolve, reject) => {
        fs.readdir(path, (err, directoriesPaths) => {
            if (err) {
                reject(err);
            } else {
                if (directoriesPaths.indexOf('.DS_Store') != -1) {
                    directoriesPaths.splice(directoriesPaths.indexOf('.DS_Store'), 1);
                }
                directoriesPaths.forEach((e, i) => {
                    directoriesPaths[i] = statPromise(`${path}/${e}`);
                });
                Promise.all(directoriesPaths).then(out => {
                    resolve(out);
                }).catch(err => {
                    reject(err);
                });
            }
        });
    });
};
const statPromise = path => {
    return new Promise((resolve, reject) => {
        fs.stat(path, (err, stats) => {
            if (err) {
                reject(err);
            } else {
                if (stats.isDirectory()) {
                    readdirRecursivePromise(path).then(out => {
                        resolve(out);
                    }).catch(err => {
                        reject(err);
                    });
                } else if (stats.isFile()) {
                    resolve({
                        'path': path,
                        'type': mime.lookup(path)
                    });
                } else {
                    reject(`Error parsing path: ${path}`);
                }
            }
        });
    });
};
const flatten = (arr, result = []) => {
    for (let i = 0, length = arr.length; i < length; i++) {
        const value = arr[i];
        if (Array.isArray(value)) {
            flatten(value, result);
        } else {
            result.push(value);
        }
    }
    return result;
};

假设在节点项目根目录中有一个名为“/database”的路径。一旦这个承诺被解决，它应该吐出'/database'下的每个文件的数组。

readdirRecursivePromise('database').then(out => {
    console.log(flatten(out));
}).catch(err => {
    console.log(err);
});

这是一个简单的同步递归解决方案

const fs = require('fs')

const getFiles = path => {
    const files = []
    for (const file of fs.readdirSync(path)) {
        const fullPath = path + '/' + file
        if(fs.lstatSync(fullPath).isDirectory())
            getFiles(fullPath).forEach(x => files.push(file + '/' + x))
        else files.push(file)
    }
    return files
}

用法:

const files = getFiles(process.cwd())

console.log(files)

您可以异步地编写它，但是没有必要。只需确保输入目录存在并且可以访问。

There are basically two ways of accomplishing this. In an async environment you'll notice that there are two kinds of loops: serial and parallel. A serial loop waits for one iteration to complete before it moves onto the next iteration - this guarantees that every iteration of the loop completes in order. In a parallel loop, all the iterations are started at the same time, and one may complete before another, however, it is much faster than a serial loop. So in this case, it's probably better to use a parallel loop because it doesn't matter what order the walk completes in, just as long as it completes and returns the results (unless you want them in order).

一个平行循环看起来是这样的:

var fs = require('fs');
var path = require('path');
var walk = function(dir, done) {
  var results = [];
  fs.readdir(dir, function(err, list) {
    if (err) return done(err);
    var pending = list.length;
    if (!pending) return done(null, results);
    list.forEach(function(file) {
      file = path.resolve(dir, file);
      fs.stat(file, function(err, stat) {
        if (stat && stat.isDirectory()) {
          walk(file, function(err, res) {
            results = results.concat(res);
            if (!--pending) done(null, results);
          });
        } else {
          results.push(file);
          if (!--pending) done(null, results);
        }
      });
    });
  });
};

一个串行循环看起来像这样:

var fs = require('fs');
var path = require('path');
var walk = function(dir, done) {
  var results = [];
  fs.readdir(dir, function(err, list) {
    if (err) return done(err);
    var i = 0;
    (function next() {
      var file = list[i++];
      if (!file) return done(null, results);
      file = path.resolve(dir, file);
      fs.stat(file, function(err, stat) {
        if (stat && stat.isDirectory()) {
          walk(file, function(err, res) {
            results = results.concat(res);
            next();
          });
        } else {
          results.push(file);
          next();
        }
      });
    })();
  });
};

并且在你的主目录中测试它(警告:如果你的主目录中有很多东西，结果列表将会非常大):

walk(process.env.HOME, function(err, results) {
  if (err) throw err;
  console.log(results);
});

编辑:改进的示例。

短小、现代、高效:

import {readdir} from 'node:fs/promises'
import {join} from 'node:path'

const deepReadDir = async (dirPath) => await Promise.all(
  (await readdir(dirPath, {withFileTypes: true})).map(async (dirent) => {
    const path = join(dirPath, dirent.name)
    return dirent.isDirectory() ? await deepReadDir(path) : path
  }),
)

特别感谢函数提示使用{withFileTypes: true}。

这将自动将每个嵌套路径折叠成一个新的嵌套数组。例如，如果:

await deepReadDir('src')

返回如下内容:

[
  [
    'src/client/api.js',
    'src/client/http-constants.js',
    'src/client/index.html',
    'src/client/index.js',
    [ 'src/client/res/favicon.ico' ],
    'src/client/storage.js'
  ],
  [ 'src/crypto/keygen.js' ],
  'src/discover.js',
  [
    'src/mutations/createNewMutation.js',
    'src/mutations/newAccount.js',
    'src/mutations/transferCredit.js',
    'src/mutations/updateApp.js'
  ],
  [
    'src/server/authentication.js',
    'src/server/handlers.js',
    'src/server/quick-response.js',
    'src/server/server.js',
    'src/server/static-resources.js'
  ],
  [ 'src/util/prompt.js', 'src/util/safeWriteFile.js' ],
  'src/util.js'
]

但如果你想，你可以很容易地把它压平:

(await deepReadDir('src')).flat(Number.POSITIVE_INFINITY)

[
  'src/client/api.js',
  'src/client/http-constants.js',
  'src/client/index.html',
  'src/client/index.js',
  'src/client/res/favicon.ico',
  'src/client/storage.js',
  'src/crypto/keygen.js',
  'src/discover.js',
  'src/mutations/createNewMutation.js',
  'src/mutations/newAccount.js',
  'src/mutations/transferCredit.js',
  'src/mutations/updateApp.js',
  'src/server/authentication.js',
  'src/server/handlers.js',
  'src/server/quick-response.js',
  'src/server/server.js',
  'src/server/static-resources.js',
  'src/util/prompt.js',
  'src/util/safeWriteFile.js',
  'src/util.js'
]

我修改了老特雷弗的承诺为蓝鸟工作的基础上的答案

var fs = require('fs'),
    path = require('path'),
    Promise = require('bluebird');

var readdirAsync = Promise.promisify(fs.readdir);
var statAsync = Promise.promisify(fs.stat);
function walkFiles (directory) {
    var results = [];
    return readdirAsync(directory).map(function(file) {
        file = path.join(directory, file);
        return statAsync(file).then(function(stat) {
            if (stat.isFile()) {
                return results.push(file);
            }
            return walkFiles(file).then(function(filesInDir) {
                results = results.concat(filesInDir);
            });
        });
    }).then(function() {
        return results;
    });
}

//use
walkDir(__dirname).then(function(files) {
    console.log(files);
}).catch(function(e) {
    console.error(e); {
});