For this project you must have installed Docker and docker-compose.

Poetry

Install Poetry

If you don't have poetry already installed, just execute:

curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python -

If anything wrong happens, check the docs.

Create env

If you have python3.10 on your machine, just run the code below to create a new env for this project.

poetry env use python3.11

You may check the others envs by running:

poetry env list

Export requirements.txt

If you prefer to work the old way, with requirements.txt, you may export it with:

poetry export --without-hashes -o requirements.txt

Export with dev dependencies:

poetry export --without-hashes -o requirements-dev.txt --with dev

Install Project Dependencies

In order to install the project dependencies you all need is just run:

poetry install

How to Run

First you have to set airflow user id and group id by running:

echo -e "AIRFLOW_UID=$(id -u)\nAIRFLOW_GID=0" >> .env

Then, just initialize the database to use:

docker-compose up initdb

All configuration parameters are set in .env file.

The last command, in order to run all services is:

docker-compose up -d

Metrics

Access metrics at here.

DAGs

If you want to add DAGs, all you have to do is to mount a volume of your DAGs on x-dags-and-logs anchor on the yaml file. After that, just update the DAG_FOLDERS environment variable on x-airflow-env anchor to notify airflow where to get the new DAGs.