Run AWS Lambda functions locally
run_lambda is a Python package for running Python AWS Lambda functions locally. It offers a Python module for automated testing of Lambda functions, as well as a command-line interface for ad-hoc local invocations.
Doesn’t something like this already exist?
Not exactly. There are other programs for locally running Python Lambda functions. However, all of the other utilities (that I know of) only provide a command-line tool. A command-line tool is great for quick manual invocations. However, if you want to create robust, automated tests for your Lambda functions, a Python module that you can import and call is more appropriate. run_lambda is unique because it offers both a simple command-line tool for manual invocations, and an importable Python module for automated tests.
- An interface for examining the result (return value, exception, timeout) of a function call
- A full implementation of AWS Context objects
- Function calls with or without a timeout
- Resource usage profiling (memory and run-time)
- Convenient mocking of objects and services inside Lambda functions
The easiest way to install is via pip:
$ pip install run_lambda
You can also download the source from Github.
Documentation for the package can be found on Read the Docs.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|run_lambda-0.1.7.2-py2-none-any.whl (14.8 kB) Copy SHA256 hash SHA256||Wheel||py2||Sep 10, 2017|
|run_lambda-0.1.7.2-py3-none-any.whl (14.8 kB) Copy SHA256 hash SHA256||Wheel||py3||Sep 10, 2017|
|run_lambda-0.1.7.2.tar.gz (10.2 kB) Copy SHA256 hash SHA256||Source||None||Sep 10, 2017|