1.1.3 is a re-release of 1.1.2

This release is a fix-up of 1.1.2. Due to the issues outlined below, I yanked 1.1.2 to prevent further use of the binary. It's not something that is actively encouraged in PyPi, and I apologize for the harm this may have caused to your system. It won't happen again. Please change your requirements.txt to point to the 1.1.3 release. Thank you for your time.

Reasoning:

1. #21
2. #13

1.1.2: Merge pull request #10 from aelzeiny/submit-job-kwargs

Adding more extensibility to AWS Batch - meaning that you have more control over how your AWS Batch tasks are launched at runtime. Specifically, you have control over what to do with airflow's executor_config variable.

Working with Airflow 2.0

Airflow 2.0 Released, with that came an upgrade in Marshmallow from 2 to 3.
So now this works with Airflow 1.10.5 to Airflow 2.0 on Python 3.6 or greater.
Neat!

Introducing AWS Batch and AWS Fargate Executors

Nope, I'm not selling lemons here. I have a high standard for components not being a routine bother. The nice thing about using an AWS Executor is that there are a lot of things that are managed for you. Scheduling, container placement, monitoring, alerting, provisioning, and auto-scaling to name a few.