72 lines
2.1 KiB
Python
72 lines
2.1 KiB
Python
#!/usr/bin/env python3
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# Copyright 2019 The Kubeflow Authors
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from kfp.deprecated import dsl, compiler, components
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# Accessing GCS using the Google Cloud SDK command-line programs
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gcs_list_items_op = components.load_component_from_text('''
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name: GCS - List items
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inputs:
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- {name: Uri}
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implementation:
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container:
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image: 'google/cloud-sdk:279.0.0'
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command:
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- sh
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- -exc
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- |
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if [ -n "${GOOGLE_APPLICATION_CREDENTIALS}" ]; then
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echo "Using auth token from ${GOOGLE_APPLICATION_CREDENTIALS}"
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gcloud auth activate-service-account --key-file="${GOOGLE_APPLICATION_CREDENTIALS}"
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fi
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gcloud auth list
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gsutil ls "$0"
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- {inputValue: Uri}
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''')
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# Accessing GCS using the Google Cloud Python library
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def gcs_list_buckets():
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from google.cloud import storage
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storage_client = storage.Client()
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buckets = storage_client.list_buckets()
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print("List of buckets:")
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for bucket in buckets:
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print(bucket.name)
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gcs_list_buckets_op = components.create_component_from_func(
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gcs_list_buckets,
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base_image='python:3.7',
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packages_to_install=['google-cloud-storage==1.31.2'],
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)
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@dsl.pipeline(
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name='secret-pipeline',
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description='A pipeline to demonstrate mounting and use of secretes.'
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)
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def secret_op_pipeline(
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url='gs://ml-pipeline/sample-data/shakespeare/shakespeare1.txt'):
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"""A pipeline that uses secret to access cloud hosted resouces."""
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gcs_list_items_task = gcs_list_items_op(url)
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gcs_list_buckets_task = gcs_list_buckets_op()
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if __name__ == '__main__':
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compiler.Compiler().compile(secret_op_pipeline, __file__ + '.yaml')
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