Serverless Python Layer Generator for AWS

A serverless python layer generator to create python layer using lambda.

You can use it for fast prototyping, IaaC or just to deploy a layer using the AWS Console only.

It's compatible with C++ librairies.

And it's lightning fast.

Getting Started

These instructions will get you a copy of the project up prior to deploy it on AWS using terraform.

As it's compatible with C++ libraries, there is a dependency with gcc which vary with python runtime. You need to choose which runtime(s) to deploy in variables.tf

There is a file call default_values.py where default values can be setup. This is optional as json feed in lamdba event take over default values (see Installing).

For more information see the related medium article

Prerequisites

Git
AWS credentials set
Terraform

Installing

First clone the repo

git clone https://github.com/vincentventalon/serverless_layer_generator.git

Make some optional configurations :

• In variables.tf, you can

• set a defaut region or you will be asked during deploy
• choose the Python runtime(s) you want to deploy. By default it will deploy a python 3.7 and a python 3.9 lambda

• In default_values.py set the bucket where you code will be uploaded and other default values

S3_BUCKET = "change-me"

• If you use always the same bucket you should also refine policies in main.tf :

s3 = {
     effect    = "Allow",
     actions   = ["s3:HeadObject", "s3:GetObject", "s3:PutObject"],
     resources = ["arn:aws:s3:::*"]
   }

Deploy in the cloud :

terraform init
terraform plan
terraform apply

Run with default values or use a json event :

{
requirement_txt :["selenium", "scrapy"]  
s3_bucket : "s3_bucket_where_zip_will_be_uploaded"
s3_prefix_key = "lambda_function/" # Will upload archive in this folder
archive_name = "name_of_archive.zip" 
licence = "GNU GPL"
layer_name = "name_of_the_layer"
layer_description = "Description of the layer"
runtimes = ["python3.8"]
}

Thanks to

• LamCI - GCC layers for lambda

Authors

• Vincent Ventalon - (https://github.com/vincentventalon)
• Selene Petit - (https://github.com/DrSelene)

License

This project is licensed under the GNU GENERAL PUBLIC LICENSE 3 - see the LICENSE.md file for details