67 lines
1.9 KiB
Python
67 lines
1.9 KiB
Python
#!/usr/bin/env python3
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# Copyright 2019 Google LLC
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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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import kfp
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from kfp import dsl
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from kfp.gcp import use_gcp_secret
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def gcs_read_op(url):
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return dsl.ContainerOp(
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name='Access GCS using auth token',
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image='google/cloud-sdk:latest',
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command=['sh', '-c'],
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arguments=[
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'gsutil ls "$0" && echo "$1"',
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url,
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'Auth token is located at /secret/gcp-credentials/user-gcp-sa.json'
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]
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)
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def use_gcp_api_op():
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return dsl.ContainerOp(
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name='Using Google Cloud APIs with Auth',
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image='google/cloud-sdk:latest',
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command=[
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'sh', '-c',
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'pip install google-cloud-storage && "$0" "$*"',
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'python', '-c', '''
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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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'''
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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(url='gs://ml-pipeline-playground/shakespeare1.txt'):
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"""A pipeline that uses secret to access cloud hosted resouces."""
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gcs_read_task = gcs_read_op(url).apply(
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use_gcp_secret('user-gcp-sa'))
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use_gcp_api_task = use_gcp_api_op().apply(
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use_gcp_secret('user-gcp-sa'))
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if __name__ == '__main__':
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kfp.compiler.Compiler().compile(secret_op_pipeline, __file__ + '.zip') |