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"

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

#ADD /data/ /app/data/

#WORKDIR /app/

# Preset the volume change this to the actual azure folder
#VOLUME /dash_plotly_QC_scRNA/./data

WORKDIR /

COPY ./requirements.txt ./
RUN pip install --requirement ./requirements.txt

COPY ./dash_plotly_QC_scRNA.py ./

COPY ./main.py ./

RUN mkdir -p /app/azure
RUN chmod 777 /app/azure

# 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"]