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MWAA Local

A local instance for working with MWAA.

This image will be built as nicholasgriffinbbc/mwaa-local, you can find it, deployed to the Docker Hub here:

https://hub.docker.com/r/nicholasgriffinbbc/mwaa-local

Prerequisites

Python

  • Python 3.10 or higher
  • Pip3 or higher

Docker

Getting Started

First you'll need to clone the repo on your machine and access this folder with the following commands:

git clone https://github.com/nicholasgriffinbbc/mwaa-local
cd mwaa-local

Building the Docker image

Nest you'll need to build the docker image for the MWAA instance.

Note It will take several minutes to build this image locally

You can do that with the following command:

./mwaa-setup build-image

Running Airflow

Note It will take a couple minutes to start this image locally

Once it has built, you can start the airflow environment with the following command:

./mwaa-setup start

To stop this local environment, just press Ctrl+C on the terminal and wait until the runner and containers have stopped.

Accessing airflow

Once started, the local Airflow instance should be available at: http://localhost:8080/.

By default, the credentials for the UI are:

  • Username: admin
  • Password: test

Adding new DAGs

DAGs are stored and updated from the dags/ folder. Initially, you should see a hello world DAG already set up here for you.

New DAGs should also be added to this folder.

Adding code dependencies

If any new requirements are required, you should add them to the file requirements/requirements.txt.

You can test any new requirements with the command:

./mwaa-setup test-requirements

To package them, run the following script:

./mwaa-setup package-requirements

Any new plugins that you require can be added to the directory plugins/.

And if you require anything to run on startup of MWAA, you can adjust the file startup_script/startup.sh. Once edited, this can be tested with the following command:

./mwaa-setup test-startup-script