Dockerfile

# Use an official Python runtime as a base image
FROM ubuntu:18.04
FROM python:3.9-slim

# Expose the port to run it
ENV LISTEN_PORT=5000
EXPOSE 5000

LABEL Maintainer="arts-of-coding"
RUN useradd -m -u 1000 user

WORKDIR /

# fix locales
RUN apt-get update \
    && apt-get install -y --no-install-recommends locales \
    && rm -rf /var/lib/apt/lists/* \
    && localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8
 
ENV LANG en_US.utf8
 
# install blobfuse
RUN apt-get update \
    && apt-get install -y wget apt-utils \
    && wget https://packages.microsoft.com/config/ubuntu/18.04/packages-microsoft-prod.deb \
    && dpkg -i packages-microsoft-prod.deb \
    && apt-get remove -y wget \
    && apt-get update \
    && apt-get install -y --no-install-recommends fuse blobfuse libcurl3-gnutls libgnutls30 \
    && rm -rf /var/lib/apt/lists/*

COPY --chown=user mount-blobfuse.sh /
RUN chmod +x /mount-blobfuse.sh
#COPY --from=compiler /opt/venv/bin/activate /usr/local/bin/activate_venv

#ADD /data/ /app/data/

WORKDIR /app

# Preset the volume change this to the actual azure folder
#VOLUME /dash_plotly_QC_scRNA/./data
COPY --chown=user ./requirements.txt requirements.txt
RUN pip install --no-cache-dir --upgrade -r requirements.txt

COPY --chown=user . /app

COPY --chown=user ./mount-blobfuse.sh mount-blobfuse.sh 

COPY --chown=user ./dash_plotly_QC_scRNA.py dash_plotly_QC_scRNA.py

COPY --chown=user ./main.py main.py

USER user

ENV HOME=/home/user \
	PATH=/home/user/.local/bin:$PATH

USER root
RUN mkdir /azure

USER root
RUN chmod +x ./mount-blobfuse.sh

USER root
CMD ./mount-blobfuse.sh

#USER user

# How the docker app will run
#ENTRYPOINT ["/bin/bash", "-c", "/mount-blobfuse.sh; exec $SHELL"]

#CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "5000"]