Creates an AWS Lambda Layers structure that is optimized for: Lambda Layer directory structure, compiled library compatibility, and minimal file size.

This repo was created to address these issues:

• Many methods of creating Lambda zip files for Python functions don't work for Lambda Layers
  • This is due to the fact Lambda Layers require specific library paths within the zip, where regular Lambda zips don't
• Compiled dependencies must be created in an environment that matches the Lambda runtime
• Reduce size of the layer by removing unnecessary libraries and files

Note: This script requires Docker and uses a container to mimic the Lambda environment.

• Builds either a zip file or a raw directory strucutre (e.g. if you want to use frameworks like Serverless for packaging) containing Python dependencies and places the libraries into the proper directory structure for lambda layers
• Ensures compiled libraries are compatible with Lambda environment by using the lambci/lambda Docker container that mimics the lambda runtime environment
• Optimized the zip size by removing .pyc files and unnecessary libraries
• Allows specifying lambda supported python versions: 2.7, 3.6, 3.7 and 3.8
• Automatically searches for requirements.txt file in several locations:
  • same directory as script
  • parent directory or script (useful when used as submodule)
  • function sub-directory of the parent directory

This function can be cloned for standalone use, into a parent repo or added as a submodule.

Clone for standalone use or within a repo:

# If installing into an exisiting repo, navigate to repo dir
git clone --depth 1 https://github.com/tobilg/python-lambda-layer-builder _build_layer

Alternatively, add as a submodule:

cd {repo root}
git submodule add https://github.com/tobilg/python-lambda-layer-builder _build_layer
# Update submodule
git submodule update --init --recursive --remote

$ ./build.sh -h
AWS Lambda Layer Builder for Python Libraries

Usage: build.sh [-p PYTHON_VER] [-n NAME] [-f] [-r] [-h] [-v]
  -p PYTHON_VER : Python version to use: 2.7, 3.6, 3.7, 3.8 (default 3.7)
  -n NAME       : Name of the layer
  -f REQ_PATH	  : Path to requirements file
  -r            : Raw mode, don't zip layer contents
  -d            : Don't install Python dependencies
  -s            : Don't strip .so files
  -h            : Help
  -v            : Display build.sh version

• Run the builder with the command ./build.sh
  • or _build_layer/build.sh if installed in sub-dir
• It uses the first requirements.txt file found in these locations (in order):
  • Input on the command line using the -f switch
  • Same directory as script
  • Parent directory of script (useful when used as submodule)
  • Function sub-directory of the parent directory (useful when used as submodule)
• Optionally specify Python Version
  • -p PYTHON_VER - specifies the Python version: 2.7, 3.6, 3.7, 3.8 (default 3.7)

You can edit the _clean.sh file if you want to add custom cleaning logic for the build of the Lambda layer. The above part of the file must stay intact:

#!/usr/bin/env bash
# Change to working directory
cd $1
# ----- DON'T CHANGE THE ABOVE -----

# Cleaning statements
# ----- CHANGE HERE -----
rm test.xt

The _make.sh script will then execute the commands after the Python packages have been installed.

If installed as submodule and need to remove

# Remove the submodule entry from .git/config
git submodule deinit -f $submodulepath
# Remove the submodule directory from the superproject's .git/modules directory
rm -rf .git/modules/$submodulepath
# Remove the entry in .gitmodules and remove the submodule directory located at path/to/submodule
git rm -f $submodulepath
# remove entry in submodules file
git config -f .git/config --remove-section submodule.$submodulepath