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fask

v0.3.3

Published

NodeJS package for analysing large amount of files.

Downloads

5

Readme

Files analysis starter kit

NodeJS package for analysing large amount of files.

Screen capture

This NodeJs library searches for all files within an specific folder - recursively - and sends each file info to your processing library. It takes care of multithreading, queuing and managing database connections.

## Usage

  1. Require the package
$ npm install fask --save
  1. Require it and define your analysis
const fask = require('files-analysis-starter-kit')

// Pre-analysis hook
fask.before = (dbs, callback) => { callback() }

// The actual file processing
fask.process = (dbs, fileInfo, callback) => {
  setImmediate(callback)
}

// Post-analysis hook
fask.after = (dbs, callback) => { callback() }

// Launch the analysis
fask.start({...})

Options

Options for the .start method:

Parameter | Default | Description --- | --- | --- cpus | 100 | Max number of CPUs to use for concurrency limitFiles | -1 (no limit) | Limit the number or files to be processed mimeType | null (no filter) | Only path | "data" | Files location mongodb | localhost | MongoDB connection url


fileInfo

The fileInfo parameter have the following structure:

{
  root: '/',
  dir: '/.../files-analysis-starter-kit/data/subfolder',
  base: 'myPdfFile.PDF',
  ext: '.PDF',
  name: 'myPdfFile',
  route: '/.../files-analysis-starter-kit/data/subfolder/myPdfFile.PDF',
  mime: 'application/pdf',
  stats: {
    dev: 16777220,
    mode: 33188,
    nlink: 1,
    uid: 501, // user-id of the owner of the file.
    gid: 20, // group-id of the owner of the file.
    rdev: 0,
    blksize: 4096,
    ino: 29670994,
    size: 68704, // Size in bytes
    blocks: 136,
    atime: Thu Aug 11 2016 13:30:51 GMT+0200 (CEST), // last access
    mtime: Tue Apr 01 2008 08:52:56 GMT+0200 (CEST), // last modification
    ctime: Tue Aug 09 2016 04:20:35 GMT+0200 (CEST), // creation
    birthtime: Tue Apr 01 2008 08:52:56 GMT+0200 (CEST)
  }
}

Databases instances

To use the DB connections use the dbs object. i.e.:

dbs.mongo.getCollection('myCollection').insert(...)