question: Pyspark Processing Jobs in Local Mode?

Hello. I was wondering if there existed a tutorial, or current support for 1) running a pyspark processing job locally and 2) doing so with a custom base docker (EMR) image? I see a tutorial for Dask using a script processor, and also some code for an SKLearn based processor. My goal is to be able to basically set up a local testing/dev environment that uses sagemaker spark processor code. I'm guessing this is more complicated than the other use cases since this processor is usually backed by an EMR cluster.