The Python example for the Basic Model Interface, dockerized.
Build this example locally with:
docker build --tag bmi-example-python .
The image is built on the condaforge/mambaforge base image.
The OS is Linux/Ubuntu.
conda and mamba are installed in opt/conda.
The base environment is activated,
and the Python BMI example is installed into it.
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'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.
A versioned, multiplatform image built from this repository is hosted on Docker Hub at mdpiper/bmi-example-python. To tag, build, and push an update, run:
docker buildx build --platform linux/amd64,linux/arm64 -t mdpiper/bmi-example-python:<tagname> --push .
where <tagname> is, e.g., 0.3 or latest.
A user can pull this image from Docker Hub with:
docker pull mdpiper/bmi-example-python