55 lines
1.8 KiB
Python
Executable File
55 lines
1.8 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2019-2023 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 import dsl, compiler
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@dsl.container_component()
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def gcs_download_op(url: str, output: dsl.OutputPath(str)):
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return dsl.ContainerSpec(
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image='google/cloud-sdk:279.0.0',
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command=['sh', '-c', '''mkdir -p $(dirname $1)\
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&& gsutil cat $0 | tee $1'''],
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args=[url, output],
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)
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@dsl.container_component()
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def echo2_op(text1: str, text2: str):
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return dsl.ContainerSpec(
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image='library/bash:4.4.23',
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command=['sh', '-c'],
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args=['echo "Text 1: $0"; echo "Text 2: $1"', text1, text2]
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)
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@dsl.pipeline(
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name='parallel-pipeline',
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description='Download two messages in parallel and prints the concatenated result.'
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)
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def download_and_join(
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url1: str='gs://ml-pipeline/sample-data/shakespeare/shakespeare1.txt',
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url2: str='gs://ml-pipeline/sample-data/shakespeare/shakespeare2.txt'
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):
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"""A three-step pipeline with first two running in parallel."""
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download1_task = gcs_download_op(url=url1)
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download2_task = gcs_download_op(url=url2)
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echo_task = echo2_op(text1=download1_task.output, text2=download2_task.output)
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if __name__ == '__main__':
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compiler.Compiler().compile(download_and_join, __file__ + '.yaml')
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