Refactor Distributed Analytics project structure

Modified the project structure to improve maintainability and to add future CI and
integration test support.

Change-Id: Id30bfb1f83f23785a6b5f99e81f42f752d59c0f8
Issue-ID: ONAPARC-280
Signed-off-by: Dileep Ranganathan <dileep.ranganathan@intel.com>

1 files changed, 143 insertions, 0 deletions

diff --git a/vnfs/DAaaS/sample-apps/training/sample-horovod-app/Dockerfile b/vnfs/DAaaS/sample-apps/training/sample-horovod-app/Dockerfile
new file mode 100644
index 00000000..5b8f5636
--- /dev/null
+++ b/vnfs/DAaaS/sample-apps/training/sample-horovod-app/Dockerfile
@@ -0,0 +1,143 @@
+# Copyright (c) 2019 Intel Corporation
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+# Ported kubernetes spark image to Ubuntu
+
+FROM ubuntu:18.04
+
+# Install jdk
+RUN apt update -yqq 
+RUN apt install -y locales openjdk-8-jdk && rm -rf /var/lib/apt/lists/* \
+    && localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8
+
+# Install all the essentials
+RUN apt-get update --fix-missing && \
+    apt-get install -y numactl wget curl bzip2 nmap vim ca-certificates libglib2.0-0 libxext6 libsm6 libxrender1 \
+                       git mercurial subversion build-essential openssh-server openssh-client net-tools && \
+    mkdir -p /var/run/sshd && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+ENV LANG en_US.utf8
+ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64
+ENV PATH $JAVA_HOME/bin:$PATH
+ENV PATH /opt/conda/bin:/opt/spark/bin:$PATH
+ENV OPENMPI_VERSION 3.1
+
+# Install openMPI
+RUN mkdir /tmp/openmpi && \
+    cd /tmp/openmpi && \
+    wget --quiet https://www.open-mpi.org/software/ompi/v${OPENMPI_VERSION}/downloads/openmpi-${OPENMPI_VERSION}.2.tar.gz -O openmpi.tar.gz && \
+    tar zxf openmpi.tar.gz && \
+    cd openmpi-3.1.2 && \
+    ./configure --enable-orterun-prefix-by-default && \
+    make -j $(nproc) all && \
+    make install && \
+    ldconfig && \
+    rm -rf /tmp/openmpi
+
+# Install miniconda
+RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
+    /bin/bash ~/miniconda.sh -b -p /opt/conda && \
+    rm ~/miniconda.sh && \
+    ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
+    echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
+    echo "conda activate base" >> ~/.bashrc
+
+# Install tf & keras using conda in the virtual_environment:tf_env
+SHELL ["/bin/bash", "-c"]
+RUN conda update -n base -c defaults conda && \
+    conda create -n tf_env
+RUN conda install -n tf_env -y -c anaconda \
+    pip tensorflow keras nltk pyarrow
+RUN conda install -n tf_env -y -c anaconda h5py
+
+RUN conda install -n tf_env -y -c pytorch pytorch-cpu
+RUN conda install -n tf_env -y -c conda-forge matplotlib
+
+RUN echo "conda activate tf_env" >> ~/.bashrc && \
+    conda install -n tf_env -y -c conda-forge clangdev
+
+RUN source ~/.bashrc
+RUN HOROVOD_WITH_TENSORFLOW=1 /opt/conda/envs/tf_env/bin/pip install --no-cache-dir horovod
+
+# openMPI sane defaults:
+RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf && \
+    echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf && \
+    echo "btl_tcp_if_exclude = lo,docker0" >> /usr/local/etc/openmpi-mca-params.conf
+
+# Allow OpenSSH to talk to containers without asking for confirmation
+RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \
+    echo "    StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \
+    mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config
+
+# Install tini
+RUN apt-get install -y curl grep sed dpkg && \
+    TINI_VERSION=`curl https://github.com/krallin/tini/releases/latest | grep -o "/v.*\"" | sed 's:^..\(.*\).$:\1:'` && echo ${TINI_VERSION} && \
+    curl -L "https://github.com/krallin/tini/releases/download/v${TINI_VERSION}/tini_${TINI_VERSION}.deb" > tini.deb && \
+    dpkg -i tini.deb && \
+    rm tini.deb && \
+    apt clean
+
+# This is needed to match the original entrypoint.sh file.
+RUN cp /usr/bin/tini /sbin
+
+# Begin: Installing spark
+ARG spark_jars=jars
+ARG img_path=kubernetes/dockerfiles
+ARG k8s_tests=kubernetes/tests
+
+# Before building the docker image, first build and make a Spark distribution following
+# the instructions in http://spark.apache.org/docs/latest/building-spark.html.
+# If this docker file is being used in the context of building your images from a Spark
+# distribution, the docker build command should be invoked from the top level directory
+# of the Spark distribution. E.g.:
+# docker build -t spark:latest -f kubernetes/dockerfiles/spark/ubuntu18.04/Dockerfile .
+
+RUN mkdir -p /opt/spark && \
+    mkdir -p /opt/spark/work-dir && \
+    touch /opt/spark/RELEASE && \
+    rm /bin/sh && \
+    ln -sv /bin/bash /bin/sh && \
+    echo "auth required pam_wheel.so use_uid" >> /etc/pam.d/su && \
+    chgrp root /etc/passwd && chmod ug+rw /etc/passwd
+
+
+COPY ${spark_jars} /opt/spark/jars
+COPY bin /opt/spark/bin
+COPY sbin /opt/spark/sbin
+COPY ${img_path}/spark/entrypoint.sh /opt/
+
+COPY ${k8s_tests} /opt/spark/tests
+COPY data /opt/spark/data
+ENV SPARK_HOME /opt/spark
+
+RUN mkdir /opt/spark/python
+COPY python/pyspark /opt/spark/python/pyspark
+COPY python/lib /opt/spark/python/lib
+ENV PYTHONPATH /opt/spark/python/lib/pyspark.zip:/opt/spark/python/lib/py4j-*.zip
+ENV PATH /opt/conda/envs/tf_env/bin:$PATH
+
+RUN echo "export PATH=/opt/conda/envs/tf_env/bin:$PATH" >> ~/.bashrc
+#    echo "activate tf_env\n" >> ~/.bashrc
+RUN pip install petastorm
+COPY examples /opt/spark/examples
+WORKDIR /opt/spark/work-dir
+
+ENTRYPOINT [ "/opt/entrypoint.sh" ]
+
+# End: Installing spark