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Simple framework to develop and deploy AWS Lambda functions in Python

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aws-lambda-py

Simple framework to develop and deploy AWS Lambda functions written in Python.

Basic Requirements

  • working setup of make (should be on every modern Linux/UNIX box)
  • working setup of pip (either with or without virtualenv)
  • working setup of the AWS CLI tool (including appropriate credentials)

Setup

Edit the provided Makefile and add the ARN of an approprite IAM Role. This IAM Role has to exist in your AWS account and should allow at least logs:CreateLogStream and logs:PutLogEvents as a basic policy. Details on setting up an appropriate IAM Role for you Lambda function can be found in the AWS Lambda Permissions Model documentation.

Develop your AWS Lamdba function

Use the skeleton provided by lambda_function.py to get started. AWS Lambda will call the function lambda_handler inside by default.

Add required Python modules to LIBS in the Makefile and run make deps. Dependencies of the specified LIBS will not be resolved automatically: To install LIBS make will call pip install with --no-deps to be able to cleanup properly with make clean. You might not need to vendor in every module dependency since AWS Lambda already provides most of the modules. In question, or if you want to use a specific version, add it to the LIBS in the Makefile.

Deploy your AWS Lambda function

Use make deploy in the console to deploy your current code to AWS Lambda. This will ensure your AWS Lambda function is created with or updated to your current settings specified in the Makefile, package your code, including the LIBS specified in the Makefile and deploy it to your AWS Lambda function.

Run your AWS Lambda function

Use make run to deploy and run your application on AWS Lambda. This will do everything included in make deploy plus invoking the AWS Lambda function.

Use make invoke to run the currently deployed version of your AWS Lambda function. make invoke is not only faster if you just want to rerun your code, but also gives you some parsable output if you return JSON as a response for example.

Advanced Usage

Use make the console to see more available options.

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Simple framework to develop and deploy AWS Lambda functions in Python

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