Better Python 3 AWS Lambda Handlers.
Currently, your only choice for making Python handlers for AWS Lambda is to create a function like so:
def handler(event, context): return True
This isn't ideal when you start dealing with more than one handler, or if you want to provide a configurable and reusable handler. This package provides three base classes, the
Request, and the
Handler class is a callable, you create a subclass off of this, instantiate it, and that's what you configure AWSλ to invoke.
Handler has to have a
perform(self, request) method, this houses your handler's business logic,
Handler.__call__ executes this function and expects a
Response object behaves like a dictionary and an object, an attribute called
serialized is returned to AWSλ.
request argument in
perform(self, request) is a
Request object, and it houses the
context parameters that AWSλ passes to your handler. Packaging those handler arguments into an object makes them available for transparent mutations, see
mutton.apig.APIGatewayRequest for reference.
The foundation of this library is tiny, I recommend reviewing the main classes to further understand how to use this package.
pip install mutton
import mutton class EchoHandler(mutton.Handler): """Echo handler.""" def perform(self, request, **k): """Echo perform method.""" response = mutton.Response() response.body = self.request.event return response echo_handler = EchoHandler() # `echo_handler` is now a callable function you can map your AWS Lambda function to
Fork this library and send over PRs, I will consider applications for contributors if two of your PRs gets merged and published.
pipenv sync --dev # setup pipenv run pytest # test
Supported Event Sources
- API Gateway
- Cloudwatch Logs, Events
We want support for more event sources, I am willing to entertain PRs. You can use the
mutton.apig submodule as an example of implementing more event sources.