Dockerfile2

FROM --platform=linux/amd64 ubuntu:22.04 AS s2p-lbm
# if you change the Ubuntu version, remember to update
# the APT definitions for Xpra below so it reflects the
# new codename (e.g. 20.04 was focal, 22.04 had jammy)

# below env var required to install libglib2.0-0 non-interactively
ENV TZ=America/Los_Angeles
ARG DEBIAN_FRONTEND=noninteractive

# install python resources + graphical libraries used by qt and vispy
RUN apt-get update && \
    apt-get install -qqy  \
        build-essential \
        python3.9 \
        python3-pip \
        git \
        mesa-utils \
        libgl1-mesa-glx \
        libglib2.0-0 \
        libfontconfig1 \
        libxrender1 \
        libdbus-1-3 \
        libxkbcommon-x11-0 \
        libxi6 \
        libxcb-icccm4 \
        libxcb-image0 \
        libxcb-keysyms1 \
        libxcb-randr0 \
        libxcb-render-util0 \
        libxcb-xinerama0 \
        libxcb-xinput0 \
        libxcb-xfixes0 \
        libxcb-shape0 \
        && apt-get clean


ENV LANG=C.UTF-8 LC_ALL=C.UTF-8
ENV PATH /opt/conda/bin:$PATH

RUN apt-get update --fix-missing && \
    apt-get install -y wget bzip2 ca-certificates curl git && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-4.5.11-Linux-x86_64.sh -O ~/miniconda.sh && \
    /bin/bash ~/miniconda.sh -b -p /opt/conda && \
    rm ~/miniconda.sh && \
    /opt/conda/bin/conda clean -tipsy && \
    ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
    echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
    echo "conda activate base" >> ~/.bashrc

ENV TINI_VERSION v0.16.1
ADD https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini /usr/bin/tini
RUN chmod +x /usr/bin/tini


# Create conda environment with Python 3.8
RUN conda create --name s2p-lbm python=3.8

# Activate the Conda Environment
SHELL ["conda", "run", "-n", "s2p-lbm", "/bin/bash", "-c"]

RUN conda install -c conda-forge git pip mkl tbb numpy numba napari matplotlib scikit-learn mrcfile mkl_fft dask-image
RUN pip install scipy>=1.4.0 torch>=1.7.1 natsort rastermap>0.1.0 tifffile scanimage-tiff-reader>=1.4.1 importlib-metadata paramiko pynwb sbxreader imreg-dft-nw


# Install Xpra and dependencies
RUN apt-get install -y wget gnupg2 apt-transport-https && \
    wget -O - https://xpra.org/gpg.asc | apt-key add - && \
    echo "deb https://xpra.org/ jammy main" > /etc/apt/sources.list.d/xpra.list

RUN apt-get update && \
    apt-get install -yqq \
        xpra \
        xvfb \
        xterm \
        sshfs && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*

ENV DISPLAY=:100
ENV XPRA_PORT=9876
ENV XPRA_START="python3 -m napari"
ENV XPRA_EXIT_WITH_CLIENT="yes"
ENV XPRA_XVFB_SCREEN="1920x1080x24+32"
EXPOSE 9876

CMD echo "Launching napari on Xpra. Connect via http://localhost:$XPRA_PORT"; \
    xpra start \
    --bind-tcp=0.0.0.0:$XPRA_PORT \
    --html=on \
    --start="$XPRA_START" \
    --exit-with-client="$XPRA_EXIT_WITH_CLIENT" \
    --daemon=no \
    --xvfb="/usr/bin/Xvfb +extension Composite -screen 0 $XPRA_XVFB_SCREEN -nolisten tcp -noreset" \
    --pulseaudio=no \
    --notifications=no \
    --bell=no \
    $DISPLAY

ENTRYPOINT []