FROM ubuntu:18.04

LABEL dlc_major_version="3"

# Add arguments to achieve the version, python and url
ARG PYTHON=python
ARG PIP=pip
ARG HEALTH_CHECK_VERSION=1.7.0
ARG S3_TF_EI_VERSION=1-5
ARG S3_TF_VERSION=2-0-0


# See http://bugs.python.org/issue19846
ENV LANG=C.UTF-8
# Python won’t try to write .pyc or .pyo files on the import of source modules
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV LD_LIBRARY_PATH='/usr/local/lib:$LD_LIBRARY_PATH'
ENV MODEL_BASE_PATH=/models
# The only required piece is the model name in order to differentiate endpoints
ENV MODEL_NAME=model
# To prevent user interaction when installing time zone data package
ENV DEBIAN_FRONTEND=noninteractive

# nginx + njs
RUN apt-get update \
 && apt-get -y install --no-install-recommends \
    curl \
    gnupg2 \
    ca-certificates \
    emacs \
    git \
    wget \
    vim \
 && curl -s http://nginx.org/keys/nginx_signing.key | apt-key add - \
 && echo 'deb http://nginx.org/packages/ubuntu/ bionic nginx' >> /etc/apt/sources.list \
 && apt-get update \
 && apt-get -y install --no-install-recommends \
    nginx \
    nginx-module-njs \
    python \
    python-pip \
    python-setuptools \
 && apt-get clean \
 && rm -rf /var/lib/apt/lists/*

RUN ${PIP} --no-cache-dir install --upgrade \
    pip \
    setuptools

# cython, falcon, gunicorn, grpc
RUN ${PIP} install --no-cache-dir \
    "awscli<2" \
    cython \
    falcon \
    gunicorn \
    gevent \
    requests \
    grpcio \
    protobuf \
# using --no-dependencies to avoid installing tensorflow binary
 && ${PIP} install --no-dependencies --no-cache-dir \
    tensorflow-serving-api==2.0.0

WORKDIR /

# Some TF tools expect a "python" binary
RUN ln -s $(which ${PYTHON}) /usr/local/bin/python

# Get EI tools
RUN wget https://amazonei-tools.s3.amazonaws.com/v${HEALTH_CHECK_VERSION}/ei_tools_${HEALTH_CHECK_VERSION}.tar.gz -O /opt/ei_tools_${HEALTH_CHECK_VERSION}.tar.gz \
 && tar -xvf /opt/ei_tools_${HEALTH_CHECK_VERSION}.tar.gz -C /opt/ \
 && rm -rf /opt/ei_tools_${HEALTH_CHECK_VERSION}.tar.gz \
 && chmod a+x /opt/ei_tools/bin/health_check \
 && mkdir -p /opt/ei_health_check/bin \
 && ln -s /opt/ei_tools/bin/health_check /opt/ei_health_check/bin/health_check \
 && ln -s /opt/ei_tools/lib /opt/ei_health_check/lib

#RUN curl ${TF_MODEL_SERVER_SOURCE} -o /usr/bin/tensorflow_model_server \
# && chmod 555 /usr/bin/tensorflow_model_server

RUN wget https://amazonei-tensorflow.s3.amazonaws.com/tensorflow-serving/v2.0/archive/tensorflow-serving-${S3_TF_VERSION}-ei-${S3_TF_EI_VERSION}.tar.gz \
 -O /tmp/tensorflow-serving-${S3_TF_VERSION}-ei-${S3_TF_EI_VERSION}.tar.gz \
 && cd /tmp \
 && tar zxf tensorflow-serving-${S3_TF_VERSION}-ei-${S3_TF_EI_VERSION}.tar.gz \
 && mv tensorflow-serving-${S3_TF_VERSION}-ei-${S3_TF_EI_VERSION}/amazonei_tensorflow_model_server /usr/bin/tensorflow_model_server \
 && chmod +x /usr/bin/tensorflow_model_server \
 && rm -rf tensorflow-serving-${S3_TF_VERSION}*


# Expose ports
# gRPC and REST
EXPOSE 8500 8501

# Set where models should be stored in the container
RUN mkdir -p ${MODEL_BASE_PATH}

# Create a script that runs the model server so we can use environment variables
# while also passing in arguments from the docker command line
RUN echo '#!/bin/bash \n\n' > /usr/bin/tf_serving_entrypoint.sh \
 && echo '/usr/bin/tensorflow_model_server --port=8500 --rest_api_port=8501 --model_name=${MODEL_NAME} --model_base_path=${MODEL_BASE_PATH}/${MODEL_NAME} "$@"' >> /usr/bin/tf_serving_entrypoint.sh \
 && chmod +x /usr/bin/tf_serving_entrypoint.sh

RUN curl https://aws-dlc-licenses.s3.amazonaws.com/tensorflow-2.0/license.txt -o /license.txt

CMD ["/usr/bin/tf_serving_entrypoint.sh"]