mlflow-server / Dockerfile
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# Use Python base image
FROM python:3.9
# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONUNBUFFERED=1 \
SHELL=/bin/bash \
TZ=Europe/Paris
# Install some basic utilities
RUN apt-get update && apt-get install -y --no-install-recommends \
wget \
curl \
git \
sudo \
procps \
git-lfs \
zip \
unzip \
htop \
vim \
nano \
bzip2 \
build-essential \
libsndfile-dev \
&& rm -rf /var/lib/apt/lists/*
# Create a non-root user and switch to it
RUN adduser --disabled-password --gecos '' --shell /bin/bash user \
&& chown -R user:user /app
RUN echo "user ALL=(ALL) NOPASSWD:ALL" > /etc/sudoers.d/90-user
USER user
# All users can use /home/user as their home directory
ENV HOME=/home/user
RUN mkdir -p $HOME/.cache $HOME/.config /data \
&& chmod -R 777 $HOME /data
# Set the working directory to /app
WORKDIR /app
# Copy requirements.txt and install dependencies as the non-root user
COPY --chown=user requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the start_server.sh script and make it executable
COPY --chown=user start_server.sh .
RUN chmod +x start_server.sh
# Expose the MLflow port
EXPOSE 7860
# Start the MLflow server using the start_server.sh script
CMD ["./start_server.sh"]