#!/usr/bin/env python3 # Copyright 2019 The Kubeflow Authors # # 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. from kfp.deprecated import dsl, compiler, components # Accessing GCS using the Google Cloud SDK command-line programs gcs_list_items_op = components.load_component_from_text(''' name: GCS - List items inputs: - {name: Uri} implementation: container: image: 'google/cloud-sdk:279.0.0' command: - sh - -exc - | if [ -n "${GOOGLE_APPLICATION_CREDENTIALS}" ]; then echo "Using auth token from ${GOOGLE_APPLICATION_CREDENTIALS}" gcloud auth activate-service-account --key-file="${GOOGLE_APPLICATION_CREDENTIALS}" fi gcloud auth list gsutil ls "$0" - {inputValue: Uri} ''') # Accessing GCS using the Google Cloud Python library def gcs_list_buckets(): from google.cloud import storage storage_client = storage.Client() buckets = storage_client.list_buckets() print("List of buckets:") for bucket in buckets: print(bucket.name) gcs_list_buckets_op = components.create_component_from_func( gcs_list_buckets, base_image='python:3.7', packages_to_install=['google-cloud-storage==1.31.2'], ) @dsl.pipeline( name='secret-pipeline', description='A pipeline to demonstrate mounting and use of secretes.' ) def secret_op_pipeline( url='gs://ml-pipeline/sample-data/shakespeare/shakespeare1.txt'): """A pipeline that uses secret to access cloud hosted resouces.""" gcs_list_items_task = gcs_list_items_op(url) gcs_list_buckets_task = gcs_list_buckets_op() if __name__ == '__main__': compiler.Compiler().compile(secret_op_pipeline, __file__ + '.yaml')