67 lines
2.0 KiB
Python
67 lines
2.0 KiB
Python
# Copyright 2022 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 typing import Optional
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from kfp import compiler
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from kfp import dsl
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from kfp.dsl import Artifact
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from kfp.dsl import Dataset
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from kfp.dsl import Input
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@dsl.component
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def python_artifact_printer(artifact: Optional[Input[Artifact]] = None):
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if artifact is not None:
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print(artifact.name)
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print(artifact.uri)
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print(artifact.metadata)
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else:
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print('No artifact provided!')
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@dsl.container_component
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def custom_artifact_printer(artifact: Optional[Input[Artifact]] = None):
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return dsl.ContainerSpec(
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image='alpine',
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command=[
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dsl.IfPresentPlaceholder(
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input_name='artifact',
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then=['echo', artifact.uri],
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else_=['echo', 'No artifact provided!'])
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])
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@dsl.pipeline
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def inner_pipeline(dataset: Optional[Input[Dataset]] = None):
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python_artifact_printer(artifact=dataset)
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@dsl.pipeline(name='optional-artifact-pipeline')
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def pipeline(dataset1: Optional[Input[Dataset]] = None):
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custom_artifact_printer(artifact=dataset1)
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custom_artifact_printer()
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dataset2 = dsl.importer(
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artifact_uri='gs://ml-pipeline-playground/shakespeare1.txt',
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artifact_class=Dataset,
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)
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inner_pipeline(dataset=dataset2.output)
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inner_pipeline()
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if __name__ == '__main__':
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compiler.Compiler().compile(
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pipeline_func=pipeline, package_path=__file__.replace('.py', '.yaml'))
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