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bmi-example-python-docker

The Python example for the Basic Model Interface, dockerized.

Build the image

Build this example locally with:

docker build --tag bmi-example-python .

The image is based on the csdms/bmi image. The OS is Linux/Ubuntu. conda and mamba are installed in CONDA_DIR=opt/conda, and the base environment is activated. The Python BMI specification and example are installed into it.

Run a container

Run a container from this image interactively:

docker run -it bmi-example-python

This starts a bash shell. Start a Python session to run the heat model through its BMI.

>>> from heat import BmiHeat
>>> x = BmiHeat()
>>> x.get_component_name()
'The 2D Heat Equation'

Run example notebooks through a container

The Python BMI example includes a set of example notebooks. Run them through a container.

docker run -i -t -p 8888:8888 bmi-example-python /bin/bash -c "\
    mamba install jupyter -y --quiet && \
    jupyter notebook \
    --notebook-dir=/opt/bmi-example-python/examples \
    --ip='*' --port=8888 \
    --no-browser --allow-root"

This is a little tricky, but examine the output of the Jupyter server after it starts; it will include an URL from localhost that includes a security token. Copy/paste this URL into a browser to view and run the example notebooks.

Developer notes

A versioned, multiplatform image built from this repository is hosted on Docker Hub at csdms/bmi-example-python. When this repository is tagged, an image is automatically built and pushed to Docker Hub by the release CI workflow. To manually build and push an update, run:

docker buildx build --platform linux/amd64,linux/arm64 -t csdms/bmi-example-python:latest --push .

A user can pull this image from Docker Hub with:

docker pull csdms/bmi-example-python

optionally with the latest tag or with a version tag.

What is the Basic Model Interface?

The Basic Model Interface (BMI) is a set of functions for querying, modifying, running, and coupling models. Learn more at https://bmi.readthedocs.io/.

Acknowledgment

This work is supported by the U.S. National Science Foundation under Award No. 2103878, Frameworks: Collaborative Research: Integrative Cyberinfrastructure for Next-Generation Modeling Science.