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Automation for Python 3 packaging and deployment on AWS Lambda

Project description

The Python Lambda Logistics (pll) library is designed to assist with an automated deployment for Python 3 AWS Lambda functions.

As you will no doubt discover, as soon as you require more than the basic libraries, you need to start creating what are known as ‘deployment packages’ (zip files with all dependencies) for pushing even basic scripts up to AWS.

These packages require that the libraries are compiled for amazon’s version of linux (which is executing the code on your behalf).

Not helpful if, like me, your development machine isn’t running AWS Linux…

Some of the main libraries this has helped me so far with packaging:

  • SQLAlchemy
  • Pandas
  • NumPy

Underlying Process

pll aims to simplify the above by automating the build of your requirements.txt file in a Docker image of awslinux.

  1. Create working directories in your current project
    • Build – contains compiled site-packages for future re-use
    • Dist – outputted lambda zip for upload to AWS
  2. Check for a local docker image of saracen9/python-lambda or pull down
  3. Mount the following locations into the docker image
    • Build –> /tmp/app/psite-packages
    • Dist –> /tmp/app/zipped-package
    • YourAppplicationRoot –> /app
  4. Run the container and compile
  5. Shutdown and £profit
  6. (Opt) push code to AWS (Coming soon)

The original Dockerfile used to create the image is contained within the package source code for those who want to hack their own.


To manually run and configure the docker container use the below command.

docker run --rm --name py-lamb-compiler \
    -v ~/my/app:/app \
    -v ~/my/app/dist:/tmp/app/dist \
    -v ~/my/app/build:/tmp/app/build \

Alternatively install the library and put a pll.yaml in the root of your application.

  app_root: '/my/app'
  build_path: '/my/app/build'
  dist_path: '/my/app/dist'

You can then run python -m pll and package the application from any script. As an additional option pass in the --config switch to define your own config file.

In addition, relative paths to the cwd are accepted. These are then converted to absolute paths at runtime E.g.

  app_root: ''  # current directory
  build_path: 'build/'  # current directory/build
  dist_path: 'dist/'  # current directory/dist

Project details

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Files for Python-Lambda-Logistics, version 0.0.2b0
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Filename, size Python_Lambda_Logistics-0.0.2b0-py3-none-any.whl (4.3 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size Python Lambda Logistics-0.0.2b0.tar.gz (4.1 kB) File type Source Python version None Upload date Hashes View hashes

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