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A collection of useful decorators for making AWS Lambda handlers

Project description

🐍λ✨ - lambda_decorators

A collection of useful decorators for making AWS Lambda handlers

*NOTE: this is in very early stages of development. And only supports python3*

``lambda_decorators`` is a collection of useful decorators for writing Python
handlers for `AWS Lambda <>`_. They allow you to
avoid boiler plate for common things such as CORS headers, JSON serialization,

These can be used as a library or simply copied and adapted to your needs.
If you want to write your own "middlewares" it's as easy as writing a
decorator. The documentation has links to the source of each decorator.
They also serve as handy examples for implemenenting your own
boilerplate-reducing decorators.

Quick example
.. code:: python


from lambda_decorators import cors_headers, json_http_resp, load_json_body

def handler(event, context):
return {'hello': event['body']['name']}

When deployed to Lambda behind API Gateway and cURL'd:

.. code:: shell

$ curl -d '{"name": "world"}'
{"hello": "world"}

.. code:: shell

pip install lambda-decorators

Initially, I was inspired by `middy <>`_ which
I've tried out in JavaScript and was happy with it. So naturally, I thought I'd
like to have something similar in Python too. But then as I thought about it
more, it seemed that when thinking of functions as the compute unit,
when using python, `decorators <>`_
pretty much are middleware! So instead of
building a middleware engine and a few middlewares, I just built a few
useful decorators.

Included Decorators:
* :meth:`async_handler` - support for async handlers
* :meth:`cors_headers` - automatic injection of CORS headers
* :meth:`dump_json_body` - auto-serialization of http body to JSON
* :meth:`json_http_resp` - automatic serialization of python object to HTTP JSON response
* :meth:`load_json_body` - auto-deserialize of http body from JSON
* :meth:`no_retry_on_failure` - detect and stop retry attempts for scheduled lambdas

See each individual decorators for specific usage details and the example_
for some more use cases.

.. _example:


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