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* ci: base * ci: missing bit * ci: pyenv via action * ci: typos * ci: deps * ci: typo * ci: temp rm black * ci: py ver * ci: use builtin py * ci: typo * ci: setuptools * ci: without subshell * chore: normalize titles * chore: lint * ci: validate and lint flows * ci: job name * ci: pipx as module * ci: missing dep * ci: missing dep * ci: pipx module * docs: add badge
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lambda-boilerplate
🛠 Skip the boilerplate and start building fun λ things 🛠
Overview
AWS Lambdas are fun, but often the amount of boilerplate involved in getting a project off the ground hinders the fun. From setting up a local environment to writing out a Cloudformation template, the overhead of Lambda-based greenfield projects can be daunting. No more. Just use this repository as a template or clone it and jump straight into the action! This repository offers a quick template your can use, full with a Docker setup for local development and invocation commands that you can use to package and deploy small Lambdas.
Use this as a foundation and tweak it to your use case!
Local development
To get started, hit the bootstrap script with . script/bootstrap. This will set up a Python 3.8 virtualenv set up with some basic tools that will make your life easier.
The base Lambda handler is at src/base.py and all the infrastructure templates and Sceptre configuration are in infrastructure.
Invocations
This template uses PyInvoke, all commands are of the format inv <command> <parameters>.
| Command | Description |
|---|---|
app.start |
Start your Lambda in Docker. |
app.stop |
Stop and remove the container. |
app.invoke-function <function name> <Serialized JSON payload> |
Invokes the given local Lambda by container name |
stack.deploy |
Packages your code and deploys the stack |
stack.teardown-app |
Tears down the application stack |
stack.teardown-bootstrap |
Tears down the bootstrap stack |
Deployment
The base setup assumes that your Lambda handler is located in src.base. Doing inv stack.deploy will zip up your src directory, create an S3 bucket for your development artifacts, uploads the source doe archive to S3 and kickstarts the Cloudformation deployment of your stack.
Contributing
Got suggestions or improvements you'd like to make? Open a PR or an issue!
Feature requests should keep in mind that the goal of this boilerplate is to be general enough so that the cost of tailoring it to specific use cases is low.