Dockerfile

ARG PYTHON_VERSION=3.12.8
# Stage 1: Build and dependencies
FROM python:${PYTHON_VERSION} AS foundation

LABEL maintainer="Burak Ince <burak.ince@linux.org.tr>"

WORKDIR /mlflow/

# Copy only necessary files for dependency installation
COPY pyproject.toml poetry.toml poetry.lock LICENSE /mlflow/

# Create necessary symlinks
RUN ln -s /usr/bin/dpkg-split /usr/sbin/dpkg-split \
    && ln -s /usr/bin/dpkg-deb /usr/sbin/dpkg-deb \
    && ln -s /bin/rm /usr/sbin/rm \
    && ln -s /bin/tar /usr/sbin/tar

# Install required build tools and libraries
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
      make \
      build-essential \
      libssl-dev \
      zlib1g-dev \
      libbz2-dev \
      libreadline-dev \
      libsqlite3-dev \
      wget \
      curl \
      libncursesw5-dev \
      xz-utils \
      tk-dev \
      libxml2-dev \
      libxmlsec1-dev \
      libffi-dev \
      liblzma-dev && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/* /var/cache/* /var/log/* /tmp/* /var/tmp/*

# Upgrade pip and install Poetry with no cache
RUN python -m pip install --upgrade pip --no-cache-dir && \
    pip install poetry wheel --no-cache-dir

# Install project dependencies without development tools
RUN poetry install --no-root --only main

# Stage 2: Final slim image
FROM python:${PYTHON_VERSION}-slim

LABEL maintainer="Burak Ince <burak.ince@linux.org.tr>"

WORKDIR /mlflow/

# Copy the virtual environment from the foundation stage
COPY --from=foundation /mlflow/.venv /mlflow/.venv

# Set PATH to include the virtual environment
ENV PATH=/mlflow/.venv/bin:$PATH

# Prevent Python from buffering stdout/stderr
ENV PYTHONUNBUFFERED=1

# Default command to run MLflow server
CMD ["mlflow", "server", "--backend-store-uri", "sqlite:///:memory", "--default-artifact-root", "./mlruns", "--host=0.0.0.0", "--port=5000"]