Serverless Lambda Layer Packager

This Serverless plugin allows you to maintain your normal project structure when developing your Lambda Layer, and you do not have to think about it getting packaged in the correct folder.

Let's say you are making a Python Lambda function with a Python layer, that layer's code will have to be put inside a python/{packagename} folder inside your layer's zip file. This python folder clutters up your workspace and with this plugin, you do not have to think about it. It will put your code inside the correct folder when Serverless packages your layer.

Documentation

- Installation
- Configuration

Installation

First, add Serverless Lambda Layer Packager to your project:

npm install serverless-lambda-layer-packager

Then inside your project's serverless.yml file add the following entry to the plugins section: serverless-lambda-layer-packager. If there is no plugin section you will need to add it to the file.

It should look something like this:
``yml
plugins:
- serverless-lambda-layer-packager
`

You can check wether you have successfully installed the plugin by running the serverless command line:

serverless --help

The console should display ServerlessLambdaLayerPackager as one of the plugins now available in your Serverless project.

Configuration

Inside your serverless.yml file you can specify what folder the plugin has to use for your layer. You can also specify what runtime it has to use, to be able to get the correct files. You can find more about the folders in the AWS Layer configuration documentation

We currently support Python and Node.js runtimes and these are the folder examples:
`
Python: python/{packagename}
Node.js: nodejs/node_modules/{packagename}
`

To configure this in the serverless.yml you can add it under custom. For example:
`yml
custom:
serverless-lambda-layer-packager:
pathPrefix: python/my-layer
runtime: python3.7
``