rti-connext-dds package prevents building ros2 from source in docker image

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I need to build ros2 galactic from source so I can run it on Ubuntu 18.04 roughly following this Dockerfile. I have a different base image that is based on nvidia's cuda's images. I'm running into an issue that the rti-connext-dds package is prompting me to look at a license agreement which is breaking the docker build. I plan on using cyclone-dds...is there a way to force the connext-dds package to not prompt or to just omit that package? The normal DEBIAN_FRONTEND=noninteractive doesn't seem to work.

The full Dockerfile is kind of long and in it's current state expects a .deb file for TensorRT is present on the building system and served up via http so it can be wget'd into the build (has size advantages over just copying it), however I'm pretty sure that is irrelevant to the issue at hand and so it can probably be commented out.

In the end, I just skipped installing rti-connext-dds-5.3.1 (it will need to be removed from the skipped keys to reproduce the behavior) and that got me going again, although it doesn't really fix the problem.

FROM nvidia/cudagl:10.2-devel-ubuntu18.04 as devel

ARG DEBIAN_FRONTEND=noninteractive
ENV LANG C.UTF-8
ENV LC_ALL C.UTF-8

# setup timezone
# https://serverfault.com/questions/683605/docker-container-time-timezone-will-not-reflect-changes/683651
RUN echo 'America/New_York' > /etc/timezone && \
  ln -s /usr/share/zoneinfo/America/New_York /etc/localtime && \
  apt-get update && apt-get install -q -y tzdata

RUN apt-get update && apt-get upgrade -y && \
  apt-get autoremove -y && \
  apt-get clean -y && \
  rm -rf /var/lib/apt/lists/*

ARG CMAKE_VERSION=3.21.2
ARG GCC_VERSION=11

# install basic build environment
RUN apt-get update && \
  apt-get install --no-install-recommends -y \ 
  software-properties-common \
  wget \
  curl \
  git \
  gitk \
  gdb \ 
  pkg-config \
  ninja-build \
  python3-dev \
  python3-pip && \
  add-apt-repository ppa:ubuntu-toolchain-r/test -y && \
  apt-get install gcc-${GCC_VERSION} g++-${GCC_VERSION} -y && \
  update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-7 60 --slave /usr/bin/g++ g++ /usr/bin/g++-7 && \
  update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-${GCC_VERSION} 70 --slave /usr/bin/g++ g++ /usr/bin/g++-${GCC_VERSION} && \
  wget -O cmake.sh https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}-linux-x86_64.sh && \
  chmod +x cmake.sh && \
  ./cmake.sh --prefix=/usr/local --skip-license && \
  apt-get autoremove -y && \
  apt-get clean -y && \
  add-apt-repository ppa:ubuntu-toolchain-r/test -yr && \
  rm -rf /var/lib/apt/lists/* cmake.sh

# install TensorRT
#COPY nv-tensorrt-repo-ubuntu1804-cuda10.2-trt8.0.1.6-ga-20210626_1-1_amd64.deb /trt.deb
# this requires a simple http server be running on local host and that the build command was issued
# with the --network=host option
# https://docs.nvidia.com/deeplearning/tensorrt/sample-support-guide/index.html#c_samples_section
RUN wget -O /trt.deb http://localhost:8000/nv-tensorrt-repo-ubuntu1804-cuda10.2-trt8.0.1.6-ga-20210626_1-1_amd64.deb && \
  dpkg -i \
  /trt.deb && \
  cd /var/nv-tensorrt-repo-ubuntu1804-cuda10.2-trt8.0.1.6-ga-20210626 && \
  dpkg -i \
  libcudnn8_8.2.1.32-1+cuda10.2_amd64.deb \
  libnvinfer8_8.0.1-1+cuda10.2_amd64.deb \
  libnvonnxparsers8_8 ...