Template
54 lines
2.0 KiB
Docker
54 lines
2.0 KiB
Docker
# Get additional info about the Dockerfile at https://docs.docker.com/reference/dockerfile/
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FROM condaforge/miniforge3:latest
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# Define the name of the environment
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ARG ENV_NAME=idear_env
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ENV ENV_NAME=idear_env
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# Set the working directory
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WORKDIR /idear
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#RUN apt-get update && apt-get install -y cifs-utils
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# Install Graphviz system binaries
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RUN apt-get update && apt-get install -y \
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graphviz \
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&& rm -rf /var/lib/apt/lists/*
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# Add this after WORKDIR /idear and before the conda install
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RUN conda config --add channels conda-forge && \
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conda config --set channel_priority strict
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# Use mamba if available for faster installation
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RUN conda install -y -n base -c conda-forge mamba && \
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mamba create -y -n $ENV_NAME -c conda-forge python=3.11 \
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jupyter jupyterlab numpy h5py pandas matplotlib plotly=5.24 scipy pip && \
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conda clean --all -y && rm -rf /root/.cache/pip
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# Activate the environment and install additional pip packages
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RUN conda run -n $ENV_NAME pip install pybis==1.35 igor2 ipykernel sphinx dash dash-bootstrap-components
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# Set the default environment when the container starts
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ENV CONDA_DEFAULT_ENV=$ENV_NAME
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ENV PATH=/opt/conda/envs/$ENV_NAME/bin:$PATH
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# Create necessary directories for VOLUME
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RUN mkdir -p /idear/data /idear/figures /idear/notebooks /idear/scripts
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#RUN mkdir -p /mnt/lac_ord
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# Copy project files, excluding certain directories (handled via .dockerignore)
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COPY . /idear
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# Copy and install dependencies from requirements.txt
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COPY requirements.txt /idear/requirements.txt
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RUN conda run -n $ENV_NAME pip install -r /idear/requirements.txt
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# Define volumes for excluded directories
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# VOLUME ["/idear/data", "/idear/figures", "/idear/notebooks", "/idear/scripts"]
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# Add JupyterLab
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RUN pip install graphviz
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# If you want to set JupyterLab as the default command
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#CMD ["jupyter", "lab", "--ip=0.0.0.0", "--port=8888", "--no-browser", "--allow-root", "--NotebookApp.token='my-token'"]
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CMD ["/bin/bash"] |