53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
# Copyright 2020 kubeflow.org
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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, components
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def print_op(msg: str):
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"""Print a message."""
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return components.load_component_from_text("""
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name: print
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description: print out msg
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inputs:
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- {name: msg, type: String}
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implementation:
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container:
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image: alpine:3.6
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command:
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- echo
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- {inputValue: msg}
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""")(msg=msg)
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def add_annotation_and_label(op):
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op.add_pod_annotation(name='hobby', value='football')
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op.add_pod_label(name='hobby', value='football')
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return op
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@dsl.pipeline(
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name='pipeline-transformer',
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description='The pipeline shows how to apply functions to all ops in the pipeline by pipeline transformers'
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)
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def transform_pipeline():
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op1 = print_op('hey, what are you up to?')
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op2 = print_op('train my model.')
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dsl.get_pipeline_conf().add_op_transformer(add_annotation_and_label)
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if __name__ == '__main__':
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from kfp_tekton.compiler import TektonCompiler
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TektonCompiler().compile(transform_pipeline, __file__.replace('.py', '.yaml'))
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