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49 lines
2.1 KiB
Docker
49 lines
2.1 KiB
Docker
FROM quay.io/jupyter/minimal-notebook
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# Name your environment and choose the Python version
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ARG env_name=python310
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ARG py_ver=3.10
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# You can add additional libraries here
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RUN mamba create --yes -p "${CONDA_DIR}/envs/${env_name}" \
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python=${py_ver} \
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'ipykernel' \
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'jupyterlab' && \
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mamba clean --all -f -y
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# Alternatively, you can comment out the lines above and uncomment those below
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# if you'd prefer to use a YAML file present in the docker build context
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# COPY --chown=${NB_UID}:${NB_GID} environment.yml /tmp/
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# RUN mamba env create -p "${CONDA_DIR}/envs/${env_name}" -f /tmp/environment.yml && \
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# mamba clean --all -f -y
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# Create Python kernel and link it to jupyter
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RUN "${CONDA_DIR}/envs/${env_name}/bin/python" -m ipykernel install --user --name="${env_name}" && \
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fix-permissions "${CONDA_DIR}" && \
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fix-permissions "/home/${NB_USER}"
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# Any additional `pip` installs can be added by using the following line
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# Using `mamba` is highly recommended though
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RUN "${CONDA_DIR}/envs/${env_name}/bin/pip" install --no-cache-dir \
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'flake8'
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# This changes the custom Python kernel so that the custom environment will
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# be activated for the respective Jupyter Notebook and Jupyter Console
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# hadolint ignore=DL3059
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RUN /opt/setup-scripts/activate_notebook_custom_env.py "${env_name}"
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# Comment the line above and uncomment the section below instead to activate the custom environment by default
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# Note: uncommenting this section makes "${env_name}" default both for Jupyter Notebook and Terminals
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# More information here: https://github.com/jupyter/docker-stacks/pull/2047
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# USER root
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# RUN \
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# # This changes a startup hook, which will activate the custom environment for the process
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# echo conda activate "${env_name}" >> /usr/local/bin/before-notebook.d/10activate-conda-env.sh && \
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# # This makes the custom environment default in Jupyter Terminals for all users which might be created later
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# echo conda activate "${env_name}" >> /etc/skel/.bashrc && \
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# # This makes the custom environment default in Jupyter Terminals for already existing NB_USER
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# echo conda activate "${env_name}" >> "/home/${NB_USER}/.bashrc"
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USER ${NB_UID}
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