parse-cloud-image v1.0.3
Parse Cloud Image
Parse Cloud module for image manipulation using sharp
Getting started
Install the module by npm
$ npm i -S parse-cloud-imageor using yarn
$ yarn add parse-cloud-imageResize image before save
Processing images can be done using the new file triggers on Parse Server introduced in version 4.2.0 All triggers can be found here
Define beforeSaveFile trigger:
import { ParseImage } from 'parse-cloud-image'
Parse.Cloud.beforeSaveFile(async (request: Parse.Cloud.FileTriggerRequest) => {
const image = ParseImage.from(request.file)
return image.resize(256)
})Create ParseImage to make image manipulations. If the file is not an image file error will be thrown.
ParseImage
ParseImage wraps a ParseFile and provides several basic methods for manipulations:
Resize
When both a width and height are provided, aspect ratio will be preserve, ensure the image covers both provided dimensions by cropping/clipping to fit. For more options check sharp's documentation and use process method below
const image = ParseImage.from(parseFile)
image.resize(256, 128)Rotate
Rotate the image by specified angle. For more options check sharp's documentation and use process method below
const image = ParseImage.from(parseFile)
image.rotate() // auto-rotated using EXIF Orientation tagScale
Scaling the image by specified factor. For more options check sharp's documentation and use process method below
const image = ParseImage.from(parseFile)
image.scale(1.0, 0.5)Edit and process
These methods are the heart of the ParseImage giving elegant access to all capabilities of sharp over given ParseFile. Let's say you need to flip and rotate the image. This can be done like this:
const image = ParseImage.from(parseFile)
const processedImage = await image.edit(proc => proc.flip().rotate().toBuffer())
}At the end the closure must return Buffer from the chain of actions which will be serialized as new ParseFile.
Advanced usage
In some cases you would need option to manipulate in parallel image or create multiple different changes on different clones of the image. This can be done with sharp and the process method of ParseImae providing a Sharp instances which can be piped.
const file = bucket.file("image.jpg").createWriteStream()
const image = ParseImage.from(parseFile)
...
image.process(sharp => sharp.resize(width, height)).pipe(file)