This repository is a scientific product and is not official communication
of the National Oceanic and Atmospheric Administration, or the United States
Department of Commerce. All NOAA GitHub project code is provided on an ‘as
is’ basis and the user assumes responsibility for its use. Any claims against
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This repository is a collection of tools and demonstrations used to explore and test various technologies for implementing exascale scientific workflows. This collection of resources is not intended for production use, and is for research purposes only.
This software can be installed on Linux systems. NOTE: MacOS is not supported because the Flux scheduler does not support MacOS. It can be used, however, on Macs in a container. See below for instructions for building and using the Docker container.
You will need a conda (miniconda3, anaconda, conda-forge, etc) installation. If you do not have one, you can use the script included in the docker directory to install it:
cd docker/install
./install_miniconda.sh <installation path>
The chiltepin conda environment can be installed using the environment configuration in the docker directory:
cd docker/install
conda env create --name chiltepin --file chiltepin.yml
Chiltepin provides a Docker container environment for building and running Parsl and Chiltepin applications. It makes use of docker compose to build a multi-node Slurm cluster for use as a backend for running the applications. This repository is mounted from the host into the container's chiltepin directory.
To build the container:
cd docker
docker compose -f docker-compose.yml up -d --build
To use the container after it is built and up, log in with a bash shell:
docker exec -it frontend bash -l
Once in the container, you can activate the chiltepin environment, install chiltepin in editable mode, and run the tests
conda activate chiltepin
cd chiltepin
pip install -e .
cd tests
pytest --assert=plain --config=chiltepin.yaml
NOTE: Depending on how many cores your machine has and how many you've allocated to Docker,
you may need to modify the cores per node setting in the configuration yaml file to match
your machine's specifications to get all tests to pass.
The Chiltepin conda environment must be activated to run Parsl Chiltepin applications
conda activate chiltepin
The test suite is run with pytest and requires an editable installation of the Chiltepin
repository. Before running the test suite:
cd <repository root>
pip install -e .
Once chiltepin has been installed with pip, the tests can be run with:
pytest --assert=plain --config=<config.yaml>
Where <config.yaml> is a configuration file specific to the test platform. For examples,
look in tests/chiltepin.yaml, tests/ci.yaml, and hercules.yaml.