multer-sharp
v0.6.2
Published
Streaming multer storage engine permit to resize and upload to Google Cloud Storage.
Downloads
320
Maintainers
Keywords
Readme
Multer-Sharp
Multer Sharp is streaming multer storage engine permit to resize and upload to Google Cloud Storage.
This project is mostly an integration piece for existing code samples from Multer's storage engine documentation. With add-ons include google-cloud and sharp
Requirement:
Node v10+
Breaking Change
multer-sharp >= 0.6.0 uses sharp version 0.22.1 and because of that some setup in the previous version cannot support (e.g. crop) and break the entire function. You can see it through the sharp changelog
Installation
npm:
npm install --save multer-sharp
yarn:
yarn add multer-sharp
Tests
npm test
Usage
const express = require('express');
const multer = require('multer');
const gcsSharp = require('multer-sharp');
const app = express();
// without resize image
const storage = gcsSharp({
bucket: 'YOUR_BUCKET', // Required : bucket name to upload
projectId: 'YOUR_PROJECTID', // Required : Google project ID
keyFilename: 'YOUR_KEYFILENAME', // Optional : JSON credentials file for Google Cloud Storage
destination: 'public/image', // Optional : destination folder to store your file on Google Cloud Storage, default: ''
acl: 'publicRead' // Optional : acl credentials file for Google Cloud Storage, 'publicrRead' or 'private', default: 'private'
});
const upload = multer({ storage });
app.post('/upload', upload.single('myPic'), (req, res) => {
console.log(req.file); // Print upload details
res.send('Successfully uploaded!');
});
// or
// simple resize with custom filename
const storage2 = gcsSharp({
filename: (req, file, cb) => {
cb(null, `${file.fieldname}-newFilename`);
},
bucket: 'YOUR_BUCKET', // Required : bucket name to upload
projectId: 'YOUR_PROJECTID', // Required : Google project ID
keyFilename: 'YOUR_KEYFILENAME', // Optional : JSON credentials file for Google Cloud Storage
acl: 'publicRead', // Optional : acl credentials file for Google Cloud Storage, 'publicrRead' or 'private', default: 'private'
size: {
width: 400,
height: 400
},
max: true
});
const upload2 = multer({ storage: storage2 });
app.post('/uploadwithfilename', upload2.single('myPic'), (req, res, next) => {
console.log(req.file); // Print upload details
res.send('Successfully uploaded!');
});
/* If you need generate image with specific size
* simply to adding `sizes` property
* sizes must be an `array` and must be specify
* with suffix, width / height property
*/
const storage = multerSharp({
bucket: config.uploads.gcsUpload.bucket,
projectId: config.uploads.gcsUpload.projectId,
keyFilename: config.uploads.gcsUpload.keyFilename,
acl: config.uploads.gcsUpload.acl,
sizes: [
{ suffix: 'xlg', width: 1200, height: 1200 },
{ suffix: 'lg', width: 800, height: 800 },
{ suffix: 'md', width: 500, height: 500 },
{ suffix: 'sm', width: 300, height: 300 },
{ suffix: 'xs', width: 100 }
],
max: true
});
const upload = multer({ storage });
app.post('/uploadmultiplesize', upload.single('myPic'), (req, res, next) => {
console.log(req.file);
/*
* will print like this
{
originalname: 'nodejs-512.png',
encoding: '7bit',
mimetype: 'image/png',
md: {
path: 'https://storage.googleapis.com/multer-sharp.appspot.com/cd2105f5d60684a9f7c9fd2c340befed-md',
filename: 'cd2105f5d60684a9f7c9fd2c340befed-md'
},
sm: {
path: 'https://storage.googleapis.com/multer-sharp.appspot.com/cd2105f5d60684a9f7c9fd2c340befed-sm',
filename: 'cd2105f5d60684a9f7c9fd2c340befed-sm'
},
xs: {
path: 'https://storage.googleapis.com/multer-sharp.appspot.com/cd2105f5d60684a9f7c9fd2c340befed-xs',
filename: 'cd2105f5d60684a9f7c9fd2c340befed-xs'
}
}
*/
res.send('Successfully uploaded!');
});
for more example you can see here
Options
const storage = gcsSharp(options);
Multer-Sharp options
| option | default | role |
| ------ | ------- | ---- |
| filename | randomString | your output filename |
| bucket | no | Required your bucket name on Google Cloud Storage to upload. Environment variable - GCS_BUCKET |
| projectId | no | Required your project id on Google Cloud Storage to upload. Environment variable - GC_PROJECT |
| keyFilename | no | JSON credentials file for Google Cloud Storage. Environment variable - GCS_KEYFILE or default google cloud credentials |
| acl | 'private' | Required acl credentials file for Google Cloud Storage, value: publicRead
or private
, doc: https://cloud.google.com/storage/docs/access-control/lists |
| gzip | no | @param {boolean} [options.gzip] Automatically gzip the file. This will set options.metadata.contentEncoding
to gzip
. |
| metadata | no | @param {object} additional metadata |
| destination | emptyString | Optional, destination folder to store your file on Google Cloud Storage |
| size | no | size specification object
for output image, as follow: { width: 300, height: 200, option: {[...resizeOptions]} }
property height
& option
is optional. doc: sharpResizeOptions |
| sizes | no | an Array of size specification object
for output image and specify diff size with suffix, as follow: { suffix: 'md', width: 300, height: 200, option: {[...resizeOptions]} }
property height
& option
is optional. doc: sharpResizeOptions |
sharp options
Please visit this sharp for detailed overview of specific option.
multer-sharp embraces sharp option, as table below:
| option | default | role |
| ------ | ------- | ---- |
| resize | true | resize images as per their size mentioned in options.size
|
| composite | false | Composite image(s) over the processed (resized, extracted etc.) image |
| median | false | Apply median filter. When used without parameters the default window is 3x3 |
| modulate | false | Transforms the image using brightness, saturation and hue rotation. |
| boolean | false | Perform a bitwise boolean operation with operand image |
| linear | false | Apply the linear formula a * input + b to the image (levels adjustment) |
| recomb | false | Recomb the image with the specified matrix |
| tint | false | Tint the image using the provided chroma while preserving the image luminance |
| removeAlpha | false | Remove alpha channel, if any |
| ensureAlpha | false | Ensure alpha channel, if missing |
| extractChannel | false | Extract a single channel from a multi-channel image |
| joinChannel | false | Join one or more channels to the image |
| bandbool | false | Perform a bitwise boolean operation on all input image channels (bands) to produce a single channel output image |
| extract | false | extract specific part of image |
| trim | false | Trim boring pixels from all edges |
| flatten | false | Merge alpha transparency channel, if any, with background. |
| extend | false | Extends/pads the edges of the image with background. |
| negate | false | Produces the negative of the image. |
| rotate | false | Rotate the output image by either an explicit angle |
| flip | false | Flip the image about the vertical Y axis. |
| flop | false | Flop the image about the horizontal X axis. |
| blur | false | Mild blur of the output image |
| sharpen | false | Mild sharpen of the output image |
| gamma | false | Apply a gamma correction. |
| grayscale or greyscale | false | Convert to 8-bit greyscale; 256 shades of grey. |
| normalize or normalise | false | Enhance output image contrast by stretching its luminance to cover the full dynamic range. |
| withMetadata | false | Include all metadata (EXIF, XMP, IPTC) from the input image in the output image.
| convolve | false | Convolve the image with the specified kernel.
| threshold | false | Any pixel value greather than or equal to the threshold value will be set to 255, otherwise it will be set to 0
| toColourspace or toColorspace | false | Set the output colourspace. By default output image will be web-friendly sRGB, with additional channels interpreted as alpha channels.
| toFormat | false | type of output file to produce. valid value : 'jpeg'
, 'png'
, 'magick'
, 'webp'
, 'tiff'
, 'openslide'
, 'dz'
, 'ppm'
, 'fits'
, 'gif'
, 'svg'
, 'pdf'
, 'v'
, 'raw'
or object
. if object
specify as follow: { type: 'png', options: { [...toFormatOptions] } }
doc: sharpToFormat|
License
MIT Copyright (c) 2017 - forever Abdul Fattah Ikhsan