This article is part of the “Better File Uploads with Shrine” series.

In the Processing article, we gave an introduction on what is generally possible with Shrine in terms of file processing. In this article I would like to go deeper into Shrine’s eager processing feature, showing some interesting use cases that are possible thanks to its advanced API.

First off, I chose the term “eager processing” to describe the process of generating a pre-defined set of processed files (e.g. image thumbnails, encoded videos) and saving them alongside the main file. Paperclip and CarrierWave use this processing strategy. This is in contrast to “on-the-fly processing”, where processing happens lazily when the file is requested, which is the strategy used by Active Storage, Refile and Dragonfly (and which Shrine supports as well).

When I used Paperclip and CarrierWave, I was never fond of their processing implementation. The class-level DSLs don’t provide much flexibility for things such as dynamic versions, sharing objects during processing, or parallelizing processing. The processors themselves are coupled to the attachment context, which increases complexity and encourages creating library-specific extensions. Also, moving processing to a background job is far from straightforward (delayed_paperclip and carrierwave_backgrounder are pretty complex).

Derivatives

While building Shrine, I wanted to take the opportunity to solve these limitations, and build the API I wish I had. The first attempt wasn’t quite as successful, but I’ve learned a lot from it, and the next attempt resulted in what we can see today:

class ImageUploader < Shrine Attacher . derivatives do | original | magick = ImageProcessing :: MiniMagick . source ( original ) { large: magick . resize_to_limit! ( 800 , 800 ), medium: magick . resize_to_limit! ( 500 , 500 ), small: magick . resize_to_limit! ( 300 , 300 ) } end end

class Photo < Sequel :: Model include ImageUploader :: Attachment ( :image ) end

photo = Photo . create ( image: file ) photo . image_url ( :large ) #=> nil photo . image_derivatives! # create derivatives photo . image_url ( :large ) #=> "https://my-bucket.s3.amazonaws.com/path/to/large.jpg"

How it works is that your processing block is called with the original file, inside which you can perform processing in any way you like (in this example we’re using the ImageProcessing gem), and then the processed files returned by the block are uploaded to the storage.

The implementation doesn’t rely on in-place processing, intermediary state mutation, or unnecessary processor abstractions.

Layered API

The derivatives creation API is built on top of lower level methods, each of which you can use standalone. This kind of layered API opens up a lot of possibilities, as we’ll see in the next section.

Create derivatives

On the top level we have Attacher#create_derivatives (in our example that’s photo.image_derivatives! ), which triggers processing and stores processed files:

attacher . attach ( io ) attacher . create_derivatives attacher . derivatives #=> # { # large: #<Shrine::UploadedFile id="74dbd2dd.jpg" storage=:store metadata={...}>, # medium: #<Shrine::UploadedFile id="92144e77.jpg" storage=:store metadata={...}>, # small: #<Shrine::UploadedFile id="04165c6c.jpg" storage=:store metadata={...}>, # }

Process derivatives

The Attacher#process_derivatives method executes our processing block with the downloaded attached file:

attacher . attach ( io ) attacher . process_derivatives #=> # { # large: #<File:/tmp/.../path/to/large.jpg>, # medium: #<File:/tmp/.../path/to/medium.jpg>, # small: #<File:/tmp/.../path/to/small.jpg>, # }

Add derivatives

The Attacher#add_derivatives method uploads and saves given files:

attacher . add_derivatives ( large: File . open ( "/path/to/large.jpg" , "rb" ), medium: File . open ( "/path/to/medium.jpg" , "rb" ), small: File . open ( "/path/to/small.jpg" , "rb" ), ) attacher . derivatives #=> # { # large: #<Shrine::UploadedFile id="74dbd2dd.jpg" storage=:store metadata={...}>, # medium: #<Shrine::UploadedFile id="92144e77.jpg" storage=:store metadata={...}>, # small: #<Shrine::UploadedFile id="04165c6c.jpg" storage=:store metadata={...}>, # }

Upload derivatives

The Attacher#upload_derivatives only uploads given files:

derivatives = attacher . upload_derivatives ( large: File . open ( "/path/to/large.jpg" , "rb" ), medium: File . open ( "/path/to/medium.jpg" , "rb" ), small: File . open ( "/path/to/small.jpg" , "rb" ), ) derivatives #=> # { # large: #<Shrine::UploadedFile id="74dbd2dd.jpg" storage=:store metadata={...}>, # medium: #<Shrine::UploadedFile id="92144e77.jpg" storage=:store metadata={...}>, # small: #<Shrine::UploadedFile id="04165c6c.jpg" storage=:store metadata={...}>, # }

Merge derivatives

The Attacher#merge_derivatives method adds given uploaded files to the collection:

attacher . merge_derivatives ( large: Shrine . uploaded_file ( id: "74dbd2dd.jpg" , storage: :store , metadata: { ... }), medium: Shrine . uploaded_file ( id: "92144e77.jpg" , storage: :store , metadata: { ... }), small: Shrine . uploaded_file ( id: "04165c6c.jpg" , storage: :store , metadata: { ... }), ) attacher . derivatives #=> { large: ..., medium: ..., small: ... } attacher . merge_derivatives ( sepia: Shrine . uploaded_file ( id: "c1d7b25e.jpg" , storage: :store , metadata: { ... }), gray: Shrine . uploaded_file ( id: "f2661456.jpg" , storage: :store , metadata: { ... }), ) attacher . derivatives #=> { large: ..., medium: ..., small: ..., sepia: ..., gray: ... }

Set derivatives

The Attacher#set_derivatives method writes derivatives data to the attachment column, so that the derivatives can later be loaded from it:

attacher . set_derivatives ( derivatives ) attacher . data #=> # { # "id": "e03d8b7d.jpg", # "storage": "store", # "metadata": { ... }, # "derivatives": { # "large": { "id": "74dbd2dd.jpg", "storage": "store", "metadata": { ... } }, # "medium": { "id": "92144e77.jpg", "storage": "store", "metadata": { ... } }, # "small": { "id": "04165c6c.jpg", "storage": "store", "metadata": { ... } }, # } # }

Overview

These methods are composed together to form a hierarchy:

#create_derivatives #process_derivatives #add_derivatives #upload_derivatives #merge_derivatives #set_derivatives



Use cases

I think the best way to show the flexibility of Shrine’s derivatives API is by showing specific use cases that might come up when building your app.

A. Image cropping

Let’s say we want to create a set of image thumbnails, but from a cropped version of the original. This is how we might implement this processing:

class ImageUploader < Shrine Attacher . derivatives do | original , crop: nil | magick = ImageProcesing :: MiniMagick . source ( original ) magick = magick . crop ( " #{ crop [ :w ] } x #{ crop [ :h ] } + #{ crop [ :x ] } + #{ crop [ :y ] } " ) if crop { large: magick . resize_to_limit! ( 800 , 800 ), medium: magick . resize_to_limit! ( 500 , 500 ), small: magick . resize_to_limit! ( 300 , 300 ), } end end

photo . image_derivatives! ( crop: { x: 0 , y: 0 , w: 300 , h: 300 })

With CarrierWave we’d need to add virtual attributes for cropping to our model, which increases coupling, whereas with Shrine we were able to just pass the cropping parameters directly to the processor block.

B. PDF splitting

Let’s say we’re accepting PDFs and we want to extract individual pages. We can do this by saving each page into a file and returning them at the end of the process block:

class PdfUploader < Shrine Attacher . derivatives do | original | page_count = MiniMagick :: Image . new ( original . path ). pages . count pages = ( 0 ... page_count ). map do | page_number | ImageProcessing :: MiniMagick . source ( original ) . loader ( page: page_number ) . convert! ( "jpeg" ) end { pages: pages } end end

music_sheet = MusicSheet . create ( file: pdf_file ) music_sheet . file_derivatives! # create pages music_sheet . file_derivatives [ :pages ] #=> # [ # #<Shrine::UploadedFile id="b8725d50300a2f5a.jpg" ...>, (page 1) # #<Shrine::UploadedFile id="e2f75c340e393539.jpg" ...>, (page 2) # #<Shrine::UploadedFile id="8da9204d26cc3f73.jpg" ...>, (page 3) # ... # #<Shrine::UploadedFile id="c4b0a7e396afff4d.jpg" ...>, (page n) # ]

With Paperclip or CarrierWave this is not really possible, as neither of them supports nested versions/styles (and CarrierWave requires declaring version names up front). In constrast, Shrine allows us to return any combination of hashes and arrays.

C. Processing with libvips

libvips is a high-performance alternative to ImageMagick. Let’s say we want to use it to speed up our processing, using the ruby-vips gem. This is how we might implement thumbnail generation:

class GenerateThumbnail def self . call ( file , width , height ) result = Tempfile . new [ "thumb- #{ width } - #{ height } " , File . extname ( file . path )] image = Vips :: Image . thumbnail ( file . path , width , height: height , size: :down ) image . write_to_file ( result . path ) result end end

class ImageUploader < Shrine THUMBNAILS = { xl: [ 1200 , 1200 ], l: [ 800 , 800 ], m: [ 500 , 500 ], s: [ 300 , 300 ], xs: [ 150 , 150 ], } Attacher . derivatives do | original | THUMBNAILS . transform_values do | ( width , height ) | GenerateThumbnail . call ( original , width , height ) end end end

Notice how our processing code is neatly encapsulated in a PORO, agnostic to which file upload library we’re using. By the way, the ImageProcessing gem already comes with a libvips backend for maximum convenience .

D. Conditional processing

Sometimes we need to apply different processing options based on the type of the source file. Since the derivatives block is invoked at the time of processing, we can use regular conditionals for this:

class ImageUploader < Shrine plugin :type_predicates , methods: %i[jpeg svg webp] Attacher . derivatives do | original | magick = ImageProcessing :: MiniMagick . source ( original ) # convert SVG to PNG magick = magick . loader ( transparent: "white" ). convert ( "png" ) if file . svg? # produce progressive JPEGs magick = magick . saver ( interlace: "JPEG" , quality: 90 ) if file . jpeg? # use lossless WEBP compression magick = magick . saver ( define: { webp: { lossless: true } }) if file . webp? { thumbnail: magick . resize_to_limit! ( 800 , 800 ) } end end

convert -transparent white input.svg -resize 800x800> output.png # for SVG convert input.jpg -resize 800x800> -interlace JPEG -quality 90 output.jpg # for JPEG convert input.webp -resize 800x800> -define webp:lossless = true output.webp # for WEBP

E. Backgrounding

Moving processing into a background job is useful for maintaining our request throughput and for handling retries. Since with Shrine processing is triggered explicitly, we can just move the processing call from the controller into the background worker:

Shrine . plugin :backgrounding Shrine :: Attacher . promote_block { PromoteJob . perform_later ( record , name , file_data ) }

class PromoteJob < ActiveJob :: Base def perform ( record , name , file_data ) attacher = Shrine :: Attacher . retrieve ( model: record , name: name , file: file_data ) attacher . create_derivatives # trigger our processing here attacher . atomic_promote rescue Shrine :: AttachmentChanged , ActiveRecord :: RecordNotFound # attachment has changed or record has been deleted, nothing to do end end

photo = Photo . create ( image: file ) # spawns PromoteJob photo . image_derivatives #=> {} # ... background job finishes ... photo . image_derivatives #=> { large: ..., medium: ..., small: ... }

Here we’re piggybacking onto the background job that is spawned for promoting the cached file to permanent storage. The Attacher.retrieve and Attacher#atomic_promote methods are used to provide concurrency-safety, handling the potential case of attachment changing or the record being deleted during processing, and making sure any orphan files are deleted.

In closing

For times when on-the-fly processing isn’t suitable, having a flexible eager processing API can really make life simpler. I believe Shrine’s take on this is a big improvement over what other file attachment libraries have to offer.

The next article I plan to write will be about Shrine’s on-the-fly processing, so stay tuned.