How to Write an R Package Wrapping a NodeJS Module

[This article was first published on Colin Fay, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Mr A Bichat was looking for a way to bundle a NodeJS module inside an R package. Here is an attempt at a reproducible example, that might also help others!

About NodeJS Packages

There are two ways to install NodeJS packages: globally and locally.

The idea with local dependencies is that when writing your application or your script, you bundle inside one big folder everything needed to make that piece of JavaScript code run. That way, you can have various versions of a Node module on the same computer without one interfering with another. On a production server, that also means that when publishing your app, you don’t have to care about machine-wide versions, or about putting an app to prod with a version that might break another application.

I love the way NodeJS allows to handle dependencies, but that’s the subject for another day.

Node JS inside an R package

To create an app or cli in NodeJS, you will be following these steps:

  • Creating a new folder
  • Inside this folder, run npm init -y (the -y pre-fills all the fields) ; this function creates a package.json file
  • Create a JavaScript script (app.js, index.js, whatever.js) which will contain your JavaScript logic ; this file can take command lines arguments that will be processed inside the script
  • Install external modules with npm install modulename: this function adds elements to package.json, creates/add to package-lock.json, and the whole modulename and its deps are downloaded and put inside a node_modules/ folder inside your project

Once your software is built, be it an app or a cli, you will be sharing to the world the package.json, package-lock.json, and all the files that are required to run the tool. But not the node_modules/ folder, which will be generated by the user.

Your soft can then be shared on npm, the Node package manager, shared as a zip, or put on git, so that users can git clone the, and install everything by running npm install inside the folder.

Let’s create a small example:

cd /tmp
mkdir nodeexample
cd nodeexample
npm init -y

Wrote to /private/tmp/nodeexample/package.json:

{
  "name": "nodeexample",
  "version": "1.0.0",
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1"
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "dependencies": {
    "chalk": "^4.0.0"
  },
  "devDependencies": {},
  "description": ""
}

touch whatever.js
npm install chalk


npm WARN [email protected] No description
npm WARN [email protected] No repository field.

+ [email protected]
updated 1 package and audited 7 packages in 6.686s

1 package is looking for funding
  run `npm fund` for details

found 0 vulnerabilities

echo "const chalk = require('chalk');" >> whatever.js
echo "console.log(chalk.blue('Hello world'));" >> whatever.js
cat whatever.js

const chalk = require('chalk');
console.log(chalk.blue('Hello world'));

Now this can be run with Node:

node /tmp/nodeexample/whatever.js

Hello world

Here is our current file structure:

fs::dir_tree("/tmp/nodeexample")

/tmp/nodeexample
├── node_modules
│   ├── @types
│   │   └── color-name
│   │       ├── LICENSE
│   │       ├── README.md
│   │       ├── index.d.ts
│   │       └── package.json
│   ├── ansi-styles
│   │   ├── index.d.ts
│   │   ├── index.js
│   │   ├── license
│   │   ├── package.json
│   │   └── readme.md
│   ├── chalk
│   │   ├── index.d.ts
│   │   ├── license
│   │   ├── package.json
│   │   ├── readme.md
│   │   └── source
│   │       ├── index.js
│   │       ├── templates.js
│   │       └── util.js
│   ├── color-convert
│   │   ├── CHANGELOG.md
│   │   ├── LICENSE
│   │   ├── README.md
│   │   ├── conversions.js
│   │   ├── index.js
│   │   ├── package.json
│   │   └── route.js
│   ├── color-name
│   │   ├── LICENSE
│   │   ├── README.md
│   │   ├── index.js
│   │   └── package.json
│   ├── has-flag
│   │   ├── index.d.ts
│   │   ├── index.js
│   │   ├── license
│   │   ├── package.json
│   │   └── readme.md
│   └── supports-color
│       ├── browser.js
│       ├── index.js
│       ├── license
│       ├── package.json
│       └── readme.md
├── package-lock.json
├── package.json
└── whatever.js

As you can see, you have a node_modules folder that contains all the modules, installed with your machine specific requirements.

Let’s now move this file to another folder (imagine it’s a git clone, or you’ve received a zip), where we won’t be sharing the node_modules folder: the users will have to install it to their machine.

mkdir /tmp/nodeexample2
cp /tmp/nodeexample/package-lock.json  /tmp/nodeexample2/package-lock.json
cp /tmp/nodeexample/package.json  /tmp/nodeexample2/package.json
cp /tmp/nodeexample/whatever.js  /tmp/nodeexample2/whatever.js

But if we try to run this script:

node /tmp/nodeexample2/whatever.js

node /tmp/nodeexample2/whatever.js
internal/modules/cjs/loader.js:979
  throw err;
  ^

Error: Cannot find module 'chalk'
Require stack:
- /private/tmp/nodeexample2/whatever.js
    at Function.Module._resolveFilename (internal/modules/cjs/loader.js:976:15)
    at Function.Module._load (internal/modules/cjs/loader.js:859:27)
    at Module.require (internal/modules/cjs/loader.js:1036:19)
    at require (internal/modules/cjs/helpers.js:72:18)
    at Object.<anonymous> (/private/tmp/nodeexample2/whatever.js:1:15)
    at Module._compile (internal/modules/cjs/loader.js:1147:30)
    at Object.Module._extensions..js (internal/modules/cjs/loader.js:1167:10)
    at Module.load (internal/modules/cjs/loader.js:996:32)
    at Function.Module._load (internal/modules/cjs/loader.js:896:14)
    at Function.executeUserEntryPoint [as runMain] (internal/modules/run_main.js:71:12) {
  code: 'MODULE_NOT_FOUND',
  requireStack: [ '/private/tmp/nodeexample2/whatever.js' ]
}

We have a “Module not found” error: that’s because we haven’t installed the dependencies yet. Let’s do that:

cd /tmp/nodeexample2 && npm install

npm WARN [email protected] No description
npm WARN [email protected] No repository field.

added 7 packages from 4 contributors and audited 7 packages in 2.132s

2 packages are looking for funding
  run `npm fund` for details

found 0 vulnerabilities

fs::dir_tree("/tmp/nodeexample2", recurse= 1)

/tmp/nodeexample2
├── node_modules
│   ├── @types
│   ├── ansi-styles
│   ├── chalk
│   ├── color-convert
│   ├── color-name
│   ├── has-flag
│   └── supports-color
├── package-lock.json
├── package.json
└── whatever.js

cd /tmp/nodeexample2 &&  node whatever.js

Hello world

Tada ?!

Ok, but how can we bundle this into an R package? Here is how it will work:

  • On our machine, we will create the full, working script into the inst/ folder of the package, and share everything but our node_modules folder
  • After the users have installed our package on their machines, they will have inside their package installation folder something that will look like the version of our /tmp/nodeexample2 just after our cp: script.js, package.json and package-lock.json (so no node_modules folder, hence no dependencies).
  • Then, from R, they will run an installation wrapper, that will call npm install inside the package installation folder, i.e inside system.file(package = "mypak"). That will add all the required node_modules.
  • Once the installation is completed, we will call the Node script inside the working directory where we just installed everything. This script will take command line arguments passed from R

node-minify

While I’m at it, let’s try to use something that I might use in the future: node-minify, a node library which can minify CSS, notably through the clean-css extension: https://www.npmjs.com/package/@node-minify/clean-css.

If you don’t know what the minification is and what it’s used for, it’s the process of removing every unnecessary characters from a file so that it’s lighter. Because you know, on the web every byte counts.

See https://en.wikipedia.org/wiki/Minification_(programming) for more info.

Step 1, create the package

I won’t expand on that, please refer to online documentation.

Step 2, initiate npm infrastructure

Once in the package, here is the script to initiate everything:

mkdir -p inst/node
cd inst/node 
npm init -y
npm install @node-minify/core @node-minify/clean-css

touch app.js

This app.js will do one thing: take the path to an input and an output file, and then run the node-minify with these two arguments.

Step 3, creating the NodeJS script

Here is app.js:

const minify = require('@node-minify/core');
const cleanCSS = require('@node-minify/clean-css');

minify({
  compressor: cleanCSS,
  input: process.argv[2],
  output: process.argv[3],
  callback: (e, res) => {}
});

Let’s now create a dummy css file:

echo "body {" >> test.css
echo "  color:white;" >> test.css
echo "}" >> test.css

And try to process it:

node app.js test.css test2.css
cat test2.css

body{color:#fff}

Nice, we now have a script in inst/ that can be run with Node! How to make it available in R?

Step 4, building functions

Let’s start by ignoring the node_modules folder.

usethis::use_build_ignore("inst/node/node_modules/")

Then, create a function that will install the Node app on the users’ machines, i.e where the package is installed.

minifyr_npm_install <- function(
  force = FALSE
){
  # Prompt the users unless they bypass (we're installing stuff on their machine)
  if (!force) {
    ok <- yesno::yesno("This will install our app on your local library.
                       Are you ok with that? ")
  } else {
    ok <- TRUE
  }
  
  # If user is ok, run npm install in the node folder in the package folder
  # We should also check that the infra is not already there
  if (ok){
    processx::run(
      command = "npm", 
      args = c("install"), 
      wd = system.file("node", package = "minifyr")
    )
  }
}

Let’s now build a function to run the minifyer:

minifyr_run <- function(
  input,
  output
){
  # We're taking the absolute path as we will move to another folder to 
  # execute the Node Script
  input <- fs::path_abs(input)
  output <- fs::path_abs(output)
  processx::run(
    command = "node",
    args = c(
      "app.js",
      input,
      output
    ),
    wd = system.file("node", package = "minifyr")
  )
  return(output)
}

And here it is!

And with some extra package infrastructure, we’ve got everything we need 🙂

Step 5, try on our machine

Let’s run the built package on our machine:

# To do once
minifyr::minifyr_npm_install()

Then, if we have a look at our local package lib:

fs::dir_tree(
  system.file(
    "node",
    package = "minifyr"
  ), 
  recurse = FALSE
)

/Library/Frameworks/R.framework/Versions/3.6/Resources/library/minifyr/node
├── app.js
├── node_modules
├── package-lock.json
└── package.json

Let’s try our function:

# Dummy CSS creation
echo "body {" > test.css
echo "  color:white;" >> test.css
echo "}" >> test.css
cat test.css

body {
  color:white;
}

minifyr::minifyr_run(
  "test.css", 
  "test2.css"
)

cat test2.css

body{color:#fff}

Tada ?!

Result package at: https://github.com/ColinFay/minifyr

Step 6, one last thing

Of course, one cool thing would be to test that npm and Node are installed on the user’s machine. We can do that by running the version commands fornpm and node, and check if the results of system() are either 0 or 127, 127 meaning that the command failed to run.

node_available <- function(){
  test <- suppressWarnings(
    system(
      "npm -v",
      ignore.stdout = TRUE,
      ignore.stderr = TRUE
    )
  )
  attempt::warn_if(
    test, 
    ~ .x != 0, 
    "Error launching npm"
  )
    test <- suppressWarnings(
    system(
      "node -v",
      ignore.stdout = TRUE,
      ignore.stderr = TRUE
    )
  )
  attempt::message_if(
    test, 
    ~ .x != 0,
    "Error launching Node"
  )
}

To leave a comment for the author, please follow the link and comment on their blog: Colin Fay.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)