Process.env = process.env + ':/tmp/:' + process.envĮxports. Hi yall, got mine working on 10. Copy link OmeBlues commented Nov 20, 2019. Var animationFrames = require('./composite.json') ysugimoto changed the title AWS Lambda no longer pre-installed ImageMagick on runtime node 10.x AWS Lambda no longer can use pre-installed ImageMagick on runtime node 10.x Nov 20, 2019. This contains the relevant imagemagick convert call for each frame, indexed Var s3Upload = require('lambduh-put-s3-object') Var upload = require('lambduh-put-s3-object') Figure 1 Deploying the ImageMagick Lambda Layer to your AWS. With just a click of a Deploy button, it becomes available to all Lambda functions under the AWS account. There’s an ImageMagick Lambda Layer freely available in the AWS Serverless Application Repository. When an image is called on AWS S3 bucket (via API Gateway), this package will resize it and send it to the S3 before redirecting you to the new path of the image (aws bucket url or CDN). Var s3Download = require('lambduh-get-s3-object') Customers can add custom runtime dependencies through AWS Lambda Layers. That's why I decided to build an AWS Lambda Function to resize images automatically with API Gateway and S3 for imagemagick tasks. Var execute = require('lambduh-execute') Scripts to compile ImageMagick utilities for AWS Lambda instances powered by Amazon Linux 2.x, such as the nodejs10.x or nodejs12.x or python 3.8 runtime. Open the Select blueprint dropdown list and search for Hello world function.Select the nodejs14.x or python3.7 version of the blueprint. Open the Functions page of the Lambda console. Here's the code for the entire Lambda call (this is slightly hand-edited for posting here, so any mistakes are purely in this snippet) var Q = require('q') To create a Lambda function with the console. \( /tmp/$uuid/face-4.png -background none -distort SRT "1 0" \) -geometry +-166+-250 -composite \īut there's still no real noticeable improvement in the run time. \( /tmp/$uuid/face-3.png -background none -distort SRT "1 0" \) -geometry +-166+-250 -composite \ I then compiled a fully-static ImageMagick v7 (7.0.7-13) (adding -with-quantum-depth=8 to try and reduce the processing overhead) and added this to my Lambda package, and changed the convert call to this: /var/task/bin/magick -size 1280x720 'xc:#747784' The Lambda built-in ImageMagick (v6) allegedly has a bug with OpenMP support, so I tried to mitigate by using: OMP_NUM_THREADS=1 \īut this still was giving me run-times of two-minutes and above (often hitting timeout). I upped the cpu and timeout to 2 minutes 30 seconds, but I was still seeing timeouts. On Lambda (even allowing for the overhead of copying the five source files from s3 to the /tmp filesystem) this was taking in the region of 30 seconds, and often hitting the max execution time that I'd set (1 minute). On my (6 year old) laptop - these operations typically take between 2 & 3 seconds. \( /tmp/$uuid/face-4.png -background none -distort SRT "1 0" \) -geometry +-166+-250 -composite \( /tmp/$uuid/face-3.png -background none -distort SRT "1 0" \) -geometry +-166+-250 -composite This composites four smaller images "behind" a larger background that has transparent holes: convert -size 1280x720 'xc:#747784' \ Why does it often take more than a minute to complete? I've done just the basic function I was basically doing in my core code in Node.js 8.10: gm(response.Body).setFormat("png").I've got a relatively simple composite action that I'm carrying out with imagemagick on AWS Lambda. I've looked into doing the most basic conversion of pdf using ImageMagick with no luck so I think AWS has updated something and caused the pdf module to either be removed or stop working. I've had a AWS Lambda function running on S3 objects for the last 18 months and it died around a month ago after a minor update.
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