Package Exports

serverless-python-requirements

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (serverless-python-requirements) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Serverless Python Requirements

A Serverless v1.0 plugin to automatically bundle dependencies from requirements.txt and make them available in your PYTHONPATH.

Install

npm install --save serverless-python-requirements

Add the plugin to your serverless.yml:

plugins:
  - serverless-python-requirements

Cross compiling!

Compiling non-pure-Python modules or fetching their manylinux wheels is supported on non-linux OSs via the use of Docker and the docker-lambda image. To enable docker usage, add the following to your serverless.yml:

custom:
  pythonRequirements:
    dockerizePip: true

Dealing with Lambda's size limitations

To help deal with potentially large dependencies (for example: numpy, scipy and scikit-learn) there is support for compressing the libraries. This does require a minor change to your code to decompress them. To enable this add the following to your serverless.yml:

custom:
  pythonRequirements:
    zip: true

and add this to your handler module before any code that imports your deps:

import unzip_requirements

Manual invocations

The .requirements and requirements.zip(if using zip support) files are left behind to speed things up on subsequent deploys. To clean them up, run sls requirements clean. You can also create them manually with sls requirements install.

Credit

This plugin is influenced by serverless-wsgi from @logandk. I however wanted a simpler pip install process. It now also supports bundling packages without the wsgi handler.