Sudivate/kale (#43)

.azdo/build-jupterserver.yml

@@ -0,0 +1,21 @@
+# Pipeline to build and push Jupyter server image.
+
+
+pool:
+  vmImage: "ubuntu-latest"
+
+variables:
+ - group: kubeflow-azdo-sample
+
+jobs:
+    - job:
+      steps:
+      - task: Docker@2
+        displayName: Build and Push Jupyter Server Image
+        inputs:
+          containerRegistry: 'kubeflow-azdo-sample-acr-sc'
+          repository: 'experimentation/jupyterserver'
+          command: 'buildAndPush'
+          Dockerfile: 'setup/jupyter/Dockerfile'
+          buildContext: 'setup/jupyter/'
+          tags: 'latest'

code/pipelineazdo.py

@@ -235,8 +235,7 @@ def tacosandburritos_train(
             op_1.add_volume(
                 k8s_client.V1Volume(
                     name='azure',
-                persistent_volume_claim=k8s_client.V1PersistentVolumeClaimVolumeSource(  # noqa: E501
-                    claim_name='azure-managed-file')
+                    persistent_volume_claim=k8s_client.V1PersistentVolumeClaimVolumeSource(claim_name='azure-managed-file')  # noqa: E501
                     )
             ).add_volume_mount(k8s_client.V1VolumeMount(
                 mount_path='/mnt/azure', name='azure'))

setup/jupyter/Dockerfile

@@ -0,0 +1,18 @@
+FROM gcr.io/kubeflow-images-public/tensorflow-2.1.0-notebook-cpu:1.0.0
+USER root
+RUN pip install pandas
+RUN pip install seaborn
+RUN pip install scikit-learn
+# Install Kale python package globally
+RUN pip install kubeflow-kale
+# Install Kale JupyterLab extension
+RUN jupyter labextension install kubeflow-kale-launcher
+
+RUN echo "jovyan ALL=(ALL:ALL) NOPASSWD:ALL" > /etc/sudoers.d/jovyan
+WORKDIR /home/jovyan
+USER jovyan
+
+ENV NB_PREFIX /
+CMD ["sh","-c", "jupyter lab --notebook-dir=/home/jovyan --ip=0.0.0.0 --no-browser --allow-root --port=8888 --NotebookApp.token='' --NotebookApp.password='' --NotebookApp.allow_origin='*' --NotebookApp.base_url=${NB_PREFIX}"]
+
+