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RSVG-Convert (LibRSVG) for AWS Lambda

Scripts to compile LibRSVG for AWS Lambda instances powered by Amazon Linux 2.x, such as the nodejs10.x runtime, and the updated 2018.03 Amazon Linux 1 runtimes.

Usage

Absolutely the easiest way of using this is to pull it directly from the AWS Serverless Application repository into a CloudFormation/SAM application, or deploy directly from the Serverless Application Repository into your account, and then link as a layer.

The rsvg binary will be in /opt/bin/rsvg-convert after linking the layer to a Lambda function.

For more information, check out the rsvg-convert-lambda-layer application in the Serverless App Repository.

For manual deployments and custom builds, read below...

Prerequisites

  • Docker desktop
  • Unix Make environment
  • AWS command line utilities (just for deployment)

Compiling the code

  • start Docker services
  • make all

There are two make scripts in this project.

  • Makefile is intended to run on the build system, and just starts a Docker container matching the AWS Linux 2 environment for Lambda runtimes to compile Rsvg using the second script.
  • Makefile_Rsvg is the script that will run inside the container, and actually compile binaries.

The output will be in the result dir.

Configuring the build

By default, this compiles a version expecting to run as a Lambda layer from /opt. You can change the expected location by providing a TARGET variable when invoking make.

The default Docker image used is lambci/lambda-base-2:build. To use a different base, provide a DOCKER_IMAGE variable when invoking make.

Modify the versions of libraries or librsvg directly in Makefile_Rsvg.

Experimenting

  • make bash to open an interactive shell with all the build directories mounted

Compiled info

rsvg-convert version 2.26.3

Deploying to AWS as a layer

Run the following command to deploy the compiled result as a layer in your AWS account.

make deploy DEPLOYMENT_BUCKET=<YOUR BUCKET NAME>

configuring the deployment

By default, this uses rsvg-layer as the stack name. Provide a STACK_NAME variable when calling make deploy to use an alternative name.

example usage

An example project is in the example directory. It sets up two buckets, and listens to file uploads on the first bucket to convert and generate PDF files from SVG images. You can deploy it from the root Makefile using:

make deploy-example DEPLOYMENT_BUCKET=<YOUR BUCKET NAME>

For more information, check out:

Author

Gojko Adzic https://gojko.net

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Convert SVG images easily to PDF and PNG using AWS Lambda

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