@stdlib/fs-read-dir NPM

Read Directory

Read the contents of a directory.

Installation

npm install @stdlib/fs-read-dir

Usage

var readDir = require( '@stdlib/fs-read-dir' );

readDir( path, clbk )

Asynchronously reads the contents of a directory.

readDir( __dirname, onRead );

function onRead( error, data ) {
    if ( error ) {
        console.error( error );
    } else {
        console.log( data );
        // => [...]
    }
}

readDir.sync( path )

Synchronously reads the contents of a directory.

var out = readDir.sync( __dirname );
if ( out instanceof Error ) {
    throw out;
}
console.log( out );
// => [...]

Notes

The difference between this module and fs.readdirSync() is that fs.readdirSync() will throw if an error is encountered (e.g., if given a non-existent path) and this module will return an error. Hence, the following anti-pattern

var fs = require( 'fs' );

var dir = '/path/to/dir';

// Check for existence to prevent an error being thrown...
if ( fs.existsSync( dir ) ) {
    dir = fs.readdirSync( dir );
}

can be replaced by an approach which addresses existence via error handling.

var readDir = require( '@stdlib/fs-read-dir' );

var dir = '/path/to/dir';

// Explicitly handle the error...
dir = readDir.sync( dir );
if ( dir instanceof Error ) {
    // You choose what to do...
    throw dir;
}

Examples

var readDir = require( '@stdlib/fs-read-dir' );

/* Sync */

var out = readDir.sync( __dirname );
// returns <Array>

console.log( out instanceof Error );
// => false

out = readDir.sync( 'beepboop' );
// returns <Error>

console.log( out instanceof Error );
// => true

/* Async */

readDir( __dirname, onRead );
readDir( 'beepboop', onRead );

function onRead( error, data ) {
    if ( error ) {
        if ( error.code === 'ENOENT' ) {
            console.error( 'Directory does not exist.' );
        } else {
            throw error;
        }
    } else {
        console.log( data );
    }
}

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.