Runs pylibdmtx on AWS Lambda, using AWS Serverless Application Model.

The py_dmtx_layer contains the binaries for libdmtx and the necessary binutils binaries to load the shared library on python

To generate the necessary binaries run download_binaries.sh. This script will start a docker container with amazonlinux:2, then it will compile libdmtx and download the necessary binaries for ld & objdump, those binaries will be copied to py_dmtx_layer/lib and py_dmtx_layer/bin.

ℹ️ Make sure you have python3.8 installed!

With the binaries in place you can build the project and test locally

$ sam build
$ sam local invoke # the expected result from the lambda below
{"statusCode": 200, "body": "[{\"content\": \"Stegosaurus\", \"rect\": [5, 6, 96, 95]}, {\"content\": \"Plesiosaurus\", \"rect\": [298, 6, 95, 95]}]"}

Now you can create your stack on AWS:

$ sam deploy --guided

CloudFormation outputs from deployed stack
-------------------------------------------------------------------
Outputs
-------------------------------------------------------------------
Key                 LambdaName
Description         -
Value               mystack-DecoderFunction-93934828asdj
-------------------------------------------------------------------

This will create a lambda function which name is represented on the output above, you can navigate to your AWS Console and test your function.