kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: efs
  namespace: kubeflow
  annotations:
    volume.beta.kubernetes.io/storage-class: "aws-efs"
spec:
  accessModes:
    - ReadWriteMany
  resources:
    requests:
      storage: 1Mi

    volumeMounts:
     - name: efs-pvc
       mountPath: "/shared_volume"
     - name: dshm
       mountPath: /dev/shm
  volumes:
   - name: efs-pvc
     persistentVolumeClaim:
      claimName: efs
   - name: dshm 
     emptyDir:
      medium: Memory

pip install --user scikit-learn

FROM ubuntu:bionic

ENV TIMEZONE America/Mexico_City
ENV JUPYTERLAB_VERSION 2.1.4
ENV LANG C.UTF-8
ENV LC_ALL C.UTF-8
ENV DEBIAN_FRONTEND noninteractive
ENV DEB_BUILD_DEPS="sudo nano less git python3-dev python3-pip python3-setuptools curl wget"
ENV DEB_PACKAGES=""
ENV PIP_PACKAGES_KALE="click==7.0 six==1.12.0 setuptools==41.0.0 urllib3==1.24.2 kubeflow-kale==0.5.0"

RUN apt-get update && export $DEBIAN_FRONTEND && \
    echo $TIMEZONE > /etc/timezone && apt-get install -y tzdata

RUN apt-get update && apt-get install -y $DEB_BUILD_DEPS $DEB_PACKAGES && pip3 install --upgrade pip

RUN curl -sL https://deb.nodesource.com/setup_12.x | sudo -E bash - && apt-get install -y nodejs

RUN pip3 install jupyter "jupyterlab<2.0.0" --upgrade
RUN jupyter notebook --generate-config && sed -i "s/#c.NotebookApp.password = .*/c.NotebookApp.password = u'sha1:115e429a919f:21911277af52f3e7a8b59380804140d9ef3e2380'/" /root/.jupyter/jupyter_notebook_config.py

RUN pip3 install $PIP_PACKAGES --upgrade

RUN jupyter labextension install kubeflow-kale-launcher

#install package, for example:
RUN pip3 install "git+https://github.com/CONABIO/geonode.git#egg=geonode_conabio&subdirectory=python3_package_for_geonode"

VOLUME ["/shared_volume"]

#create url like:
ENV NB_PREFIX geonodeurl

#use url in:
ENTRYPOINT ["/usr/local/bin/jupyter", "lab", "--ip=0.0.0.0", "--no-browser", "--allow-root", "--LabApp.allow_origin='*'", "--LabApp.base_url=geonodeurl"]

#some configs for antares & datacube
ln -sf /shared_volume/.antares ~/.antares
ln -sf /shared_volume/.datacube.conf ~/.datacube.conf

ERROR: nbclient 0.1.0 has requirement nbformat>=5.0, but you'll have nbformat 4.4.0 which is incompatible.
ERROR: kfp 0.1.40 has requirement click==7.0, but you'll have click 7.1.1 which is incompatible.

tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer_plugin.so.6'; dlerror: libnvinfer_plugin.so.6: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/nvidia/lib:/usr/local/nvidia/lib64
2020-03-24 13:32:09.746769: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:30] Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.

docker pull nvcr.io/nvidia/tensorrt:20.03-py3

2020-04-24 17:41:30.028801: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer.so.6'; dlerror: libnvinfer.so.6: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib
2020-04-24 17:41:30.029009: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library 'libnvinfer_plugin.so.6'; dlerror: libnvinfer_plugin.so.6: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib
2020-04-24 17:41:30.029035: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:30] Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
usage: run_executor.py [-h] --executor_class_path EXECUTOR_CLASS_PATH
                       [--temp_directory_path TEMP_DIRECTORY_PATH]
                       (--inputs INPUTS | --inputs-base64 INPUTS_BASE64)
                       (--outputs OUTPUTS | --outputs-base64 OUTPUTS_BASE64)
                       (--exec-properties EXEC_PROPERTIES | --exec-properties-base64 EXEC_PROPERTIES_BASE64)
                       [--write-outputs-stdout]
run_executor.py: error: the following arguments are required: --executor_class_path

Extracting Bazel installation...
                                                           [bazel release 3.0.0]
Usage: bazel <command> <options> ...

Available commands:
  analyze-profile     Analyzes build profile data.
  aquery              Analyzes the given targets and queries the action graph.
  build               Builds the specified targets.
  canonicalize-flags  Canonicalizes a list of bazel options.
  clean               Removes output files and optionally stops the server.
  coverage            Generates code coverage report for specified test targets.
...
Getting more help:
  bazel help <command>
                   Prints help and options for <command>.
  bazel help startup_options
                   Options for the JVM hosting bazel.
  bazel help target-syntax
                   Explains the syntax for specifying targets.
  bazel help info-keys
                   Displays a list of keys used by the info command.

pyproj.exceptions.CRSError: Invalid projection: PROJCS["unnamed",GEOGCS["WGS 84",DATUM["unknown",SPHEROID["WGS84",6378137,6556752.3141]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["standard_parallel_1",17.5],PARAMETER["standard_parallel_2",29.5],PARAMETER["latitude_of_origin",12],PARAMETER["central_meridian",-102],PARAMETER["false_easting",2500000],PARAMETER["false_northing",0]]: (Internal Proj Error: proj_create: buildCS: missing UNIT)