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# Copyright 2019 Google Inc. All Rights Reserved.
#
# Licensed 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.
# ==============================================================================


    

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work_directory_name = 'kubeflow'

! mkdir -p $work_directory_name

%cd $work_directory_name


    

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## Download kfctl v0.7.0
! curl -LO https://github.com/kubeflow/kubeflow/releases/download/v0.7.0/kfctl_v0.7.0_linux.tar.gz
    
## Unpack the tar ball
! tar -xvf kfctl_v0.7.0_linux.tar.gz


    

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## Create user credentials
! gcloud auth application-default login


    

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# Set your GCP project ID and the zone where you want to create the Kubeflow deployment
%env PROJECT=<ADD GCP PROJECT HERE>
%env ZONE=<ADD GCP ZONE TO LAUNCH KUBEFLOW CLUSTER HERE>

# google cloud storage bucket
%env GCP_BUCKET=gs://<ADD STORAGE LOCATION HERE>

# Use the following kfctl configuration file for authentication with 
# Cloud IAP (recommended):
uri = "https://raw.githubusercontent.com/kubeflow/manifests/v0.7-branch/kfdef/kfctl_gcp_iap.0.7.0.yaml"
uri = uri.strip()
%env CONFIG_URI=$uri

# For using Cloud IAP for authentication, create environment variables
# from the OAuth client ID and secret that you obtained earlier:
%env CLIENT_ID=<ADD OAuth CLIENT ID HERE>
%env CLIENT_SECRET=<ADD OAuth CLIENT SECRET HERE>

# Set KF_NAME to the name of your Kubeflow deployment. You also use this
# value as directory name when creating your configuration directory. 
# For example, your deployment name can be 'my-kubeflow' or 'kf-test'.
%env KF_NAME=<ADD KUBEFLOW DEPLOYMENT NAME HERE>

# Set up name of the service account that should be created and used
# while creating the Kubeflow cluster
%env SA_NAME=<ADD SERVICE ACCOUNT NAME TO BE CREATED HERE>


    

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! gcloud config set project ${PROJECT}

! gcloud config set compute/zone ${ZONE}


# Set the path to the base directory where you want to store one or more 
# Kubeflow deployments. For example, /opt/.
# Here we use the current working directory as the base directory
# Then set the Kubeflow application directory for this deployment.

import os
base = os.getcwd()
%env BASE_DIR=$base

kf_dir = os.getenv('BASE_DIR') + "/" + os.getenv('KF_NAME')
%env KF_DIR=$kf_dir

# The following command is optional. It adds the kfctl binary to your path.
# If you don't add kfctl to your path, you must use the full path
# each time you run kfctl. In this example, the kfctl file is present in
# the current directory
new_path = os.getenv('PATH') + ":" + os.getenv('BASE_DIR')
%env PATH=$new_path


    

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! gcloud iam service-accounts create ${SA_NAME}
! gcloud projects add-iam-policy-binding ${PROJECT} \
  --member serviceAccount:${SA_NAME}@${PROJECT}.iam.gserviceaccount.com \
  --role 'roles/owner'
! gcloud iam service-accounts keys create key.json \
  --iam-account ${SA_NAME}@${PROJECT}.iam.gserviceaccount.com


    

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key_path = os.getenv('BASE_DIR') + "/" + 'key.json'
%env GOOGLE_APPLICATION_CREDENTIALS=$key_path


    

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! mkdir -p ${KF_DIR}
%cd $kf_dir
! kfctl apply -V -f ${CONFIG_URI}


    

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%%capture

# Install the SDK (Uncomment the code if the SDK is not installed before)
! pip3 install 'kfp>=0.1.36' --quiet --user


    

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! kubectl -n istio-system describe ingress


    

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