关于使用fs.readdir进行异步目录搜索有什么想法吗?我意识到我们可以引入递归,并调用read目录函数来读取下一个目录,但我有点担心它不是异步的…
什么好主意吗?我已经看了node-walk,它很棒,但它不能像readdir那样只给我数组中的文件。虽然
寻找这样的输出…
['file1.txt', 'file2.txt', 'dir/file3.txt']
关于使用fs.readdir进行异步目录搜索有什么想法吗?我意识到我们可以引入递归,并调用read目录函数来读取下一个目录,但我有点担心它不是异步的…
什么好主意吗?我已经看了node-walk,它很棒,但它不能像readdir那样只给我数组中的文件。虽然
寻找这样的输出…
['file1.txt', 'file2.txt', 'dir/file3.txt']
当前回答
简单,基于异步承诺
const fs = require('fs/promises');
const getDirRecursive = async (dir) => {
try {
const items = await fs.readdir(dir);
let files = [];
for (const item of items) {
if ((await fs.lstat(`${dir}/${item}`)).isDirectory()) files = [...files, ...(await getDirRecursive(`${dir}/${item}`))];
else files.push({file: item, path: `${dir}/${item}`, parents: dir.split("/")});
}
return files;
} catch (e) {
return e
}
};
用法:await getDirRecursive("./public");
其他回答
这就是我的答案。希望它能帮助到一些人。
我的重点是使搜索例程可以停在任何地方,对于找到的文件,告诉原始路径的相对深度。
var _fs = require('fs');
var _path = require('path');
var _defer = process.nextTick;
// next() will pop the first element from an array and return it, together with
// the recursive depth and the container array of the element. i.e. If the first
// element is an array, it'll be dug into recursively. But if the first element is
// an empty array, it'll be simply popped and ignored.
// e.g. If the original array is [1,[2],3], next() will return [1,0,[[2],3]], and
// the array becomes [[2],3]. If the array is [[[],[1,2],3],4], next() will return
// [1,2,[2]], and the array becomes [[[2],3],4].
// There is an infinity loop `while(true) {...}`, because I optimized the code to
// make it a non-recursive version.
var next = function(c) {
var a = c;
var n = 0;
while (true) {
if (a.length == 0) return null;
var x = a[0];
if (x.constructor == Array) {
if (x.length > 0) {
a = x;
++n;
} else {
a.shift();
a = c;
n = 0;
}
} else {
a.shift();
return [x, n, a];
}
}
}
// cb is the callback function, it have four arguments:
// 1) an error object if any exception happens;
// 2) a path name, may be a directory or a file;
// 3) a flag, `true` means directory, and `false` means file;
// 4) a zero-based number indicates the depth relative to the original path.
// cb should return a state value to tell whether the searching routine should
// continue: `true` means it should continue; `false` means it should stop here;
// but for a directory, there is a third state `null`, means it should do not
// dig into the directory and continue searching the next file.
var ls = function(path, cb) {
// use `_path.resolve()` to correctly handle '.' and '..'.
var c = [ _path.resolve(path) ];
var f = function() {
var p = next(c);
p && s(p);
};
var s = function(p) {
_fs.stat(p[0], function(err, ss) {
if (err) {
// use `_defer()` to turn a recursive call into a non-recursive call.
cb(err, p[0], null, p[1]) && _defer(f);
} else if (ss.isDirectory()) {
var y = cb(null, p[0], true, p[1]);
if (y) r(p);
else if (y == null) _defer(f);
} else {
cb(null, p[0], false, p[1]) && _defer(f);
}
});
};
var r = function(p) {
_fs.readdir(p[0], function(err, files) {
if (err) {
cb(err, p[0], true, p[1]) && _defer(f);
} else {
// not use `Array.prototype.map()` because we can make each change on site.
for (var i = 0; i < files.length; i++) {
files[i] = _path.join(p[0], files[i]);
}
p[2].unshift(files);
_defer(f);
}
});
}
_defer(f);
};
var printfile = function(err, file, isdir, n) {
if (err) {
console.log('--> ' + ('[' + n + '] ') + file + ': ' + err);
return true;
} else {
console.log('... ' + ('[' + n + '] ') + (isdir ? 'D' : 'F') + ' ' + file);
return true;
}
};
var path = process.argv[2];
ls(path, printfile);
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); {
});
异步
const fs = require('fs')
const path = require('path')
const readdir = (p, done, a = [], i = 0) => fs.readdir(p, (e, d = []) =>
d.map(f => readdir(a[a.push(path.join(p, f)) - 1], () =>
++i == d.length && done(a), a)).length || done(a))
readdir(__dirname, console.log)
Sync
const fs = require('fs')
const path = require('path')
const readdirSync = (p, a = []) => {
if (fs.statSync(p).isDirectory())
fs.readdirSync(p).map(f => readdirSync(a[a.push(path.join(p, f)) - 1], a))
return a
}
console.log(readdirSync(__dirname))
异步读
function readdir (currentPath, done, allFiles = [], i = 0) {
fs.readdir(currentPath, function (e, directoryFiles = []) {
if (!directoryFiles.length)
return done(allFiles)
directoryFiles.map(function (file) {
var joinedPath = path.join(currentPath, file)
allFiles.push(joinedPath)
readdir(joinedPath, function () {
i = i + 1
if (i == directoryFiles.length)
done(allFiles)}
, allFiles)
})
})
}
readdir(__dirname, console.log)
注意:两个版本都将跟随符号链接(与原始fs.readdir相同)
如果你想使用npm包,扳手是很好的选择。
var wrench = require("wrench");
var files = wrench.readdirSyncRecursive("directory");
wrench.readdirRecursive("directory", function (error, files) {
// live your dreams
});
编辑(2018): 作者在2015年弃用了这个包:
扳手.js已弃用,并且在相当长的一段时间内没有更新。我强烈建议使用fs-extra来执行任何额外的文件系统操作。
为了好玩,这里有一个基于流的版本,它与highland.js streams库一起工作。作者之一是维克多·伍。
###
directory >---m------> dirFilesStream >---------o----> out
| |
| |
+--------< returnPipe <-----------+
legend: (m)erge (o)bserve
+ directory has the initial file
+ dirListStream does a directory listing
+ out prints out the full path of the file
+ returnPipe runs stat and filters on directories
###
_ = require('highland')
fs = require('fs')
fsPath = require('path')
directory = _(['someDirectory'])
mergePoint = _()
dirFilesStream = mergePoint.merge().flatMap((parentPath) ->
_.wrapCallback(fs.readdir)(parentPath).sequence().map (path) ->
fsPath.join parentPath, path
)
out = dirFilesStream
# Create the return pipe
returnPipe = dirFilesStream.observe().flatFilter((path) ->
_.wrapCallback(fs.stat)(path).map (v) ->
v.isDirectory()
)
# Connect up the merge point now that we have all of our streams.
mergePoint.write directory
mergePoint.write returnPipe
mergePoint.end()
# Release backpressure. This will print files as they are discovered
out.each H.log
# Another way would be to queue them all up and then print them all out at once.
# out.toArray((files)-> console.log(files))