(This project is in public-beta status)
Fuga is a toolset (and API wrappers) for Google Cloud Composer (Airflow), which allows Composer users to develop/deploy workflows easier and in more organized way.
- gcloud
- Python 3+
Note: pyenv always provides an entrypoint for both python2/3 and throw an
error when one doesn't actually exists, which makes gcloud cli crashes at its
runtime. To prevent this, use something like pyenv global 3.x.x 2.x.x to
provide both python2/3 or alias python2=python to let your system choose
where to route the command.
$ # (on your own machine)
$ pip install fuga
Fuga powers cookiecutter to offer various templates/boilerplates for fuga experiments. You need to install it to your environment before using fuga.
$ git clone [email protected]:reproio/fuga-cookiecutter-experiment-default.git \
~/.cookiecutters/fuga-cookiecutter-experiment-default
$ git clone [email protected]:reproio/fuga-cookiecutter-pod-operator-default.git \
~/.cookiecutters/fuga-cookiecutter-pod-operator-default
Creating new Cloud Composer Environment is not supported by the tool at the moment.
You need to install fuga to Compooser Environment if you want to use fuga airflow utilities.
Fuga needs to know which GCP project and GCS bucket to use with it.
fuga environment init command with let you choose one or create new for each.
$ fuga environment init
# follow instructions
$ fuga experiment new my_experiment
...
$ cd my_experiment
$ fuga experiment deploy
...
If you want to use an operator with external dependency which is not able to be resolved using just PyPI packages, (e.g. MeCab) you may need to use KuberenetesPodOperator.
Fuga supports generating a scaffold for KuberenetesPodOperator and deploy(and rollback(WIP)) it on Google Cloud Container Registry.
$ cd my_experiment
$ fuga pod-operator new my_pod_operator
...
$ fuga pod-operator deploy my_pod_operator
...