1  # Build an image that can serve mlflow models.
 2  FROM ubuntu:22.04
 3  
 4  RUN apt-get -y update && DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC apt-get install -y --no-install-recommends wget curl nginx ca-certificates bzip2 build-essential cmake git-core
 5  
 6  # Setup pyenv
 7  RUN DEBIAN_FRONTEND=noninteractive TZ=Etc/UTC apt-get -y install tzdata \
 8      libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm \
 9      libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev
10  RUN git clone \
11      --depth 1 \
12      --branch $(git ls-remote --tags --sort=v:refname https://github.com/pyenv/pyenv.git | grep -o -E 'v[1-9]+(\.[1-9]+)+$' | tail -1) \
13      https://github.com/pyenv/pyenv.git /root/.pyenv
14  ENV PYENV_ROOT="/root/.pyenv"
15  ENV PATH="$PYENV_ROOT/bin:$PATH"
16  RUN apt install -y software-properties-common \
17      && apt update \
18      && add-apt-repository -y ppa:deadsnakes/ppa \
19      && apt update \
20      && apt install -y python3.10 python3.10-distutils \
21      # Remove python3-blinker to avoid pip uninstall conflicts
22      && apt remove -y python3-blinker \
23      && ln -s -f $(which python3.10) /usr/bin/python \
24      && wget https://bootstrap.pypa.io/get-pip.py -O /tmp/get-pip.py \
25      && python /tmp/get-pip.py
26  
27  
28  # Setup Java
29  RUN apt-get install -y --no-install-recommends openjdk-17-jdk maven
30  ENV JAVA_HOME=/usr/lib/jvm/java-17-openjdk-amd64
31  
32  WORKDIR /opt/mlflow
33  
34  # Install MLflow
35  RUN pip install ${{ MLFLOW_INSTALL }}
36  
37  
38  
39  ENV MLFLOW_DISABLE_ENV_CREATION=True
40  ENV ENABLE_MLSERVER=False
41  
42  # granting read/write access and conditional execution authority to all child directories
43  # and files to allow for deployment to AWS Sagemaker Serverless Endpoints
44  # (see https://docs.aws.amazon.com/sagemaker/latest/dg/serverless-endpoints.html)
45  RUN chmod o+rwX /opt/mlflow/
46  
47  # clean up apt cache to reduce image size
48  RUN rm -rf /var/lib/apt/lists/*
49  
50  ENTRYPOINT ["python", "-c", "from mlflow.models import container as C; C._install_pyfunc_deps('/opt/ml/model', install_mlflow=False, enable_mlserver=False, env_manager='virtualenv'); C._serve('virtualenv')"]