FROM python:3.11-slim

# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
WORKDIR /app

# Create a virtual environment and install mlflow inside it
RUN uv venv /app/.venv && \
    uv pip install --python /app/.venv mlflow

# Add the virtual environment to the PATH so the mlflow command is recognized
ENV PATH="/app/.venv/bin:$PATH"

EXPOSE 8000

# Start the server
CMD ["mlflow", "server", "--host", "0.0.0.0", "--port", "8000", "--backend-store-uri", "sqlite:///mlflow.db", "--default-artifact-root", "./mlartifacts"]