pipelines/sdk/python/test_data/components/container_with_if_placehold...

45 lines
1.6 KiB
Python

# Copyright 2022 The Kubeflow Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from kfp.dsl import container_component
from kfp.dsl import ContainerSpec
from kfp.dsl import Dataset
from kfp.dsl import IfPresentPlaceholder
from kfp.dsl import Output
from kfp.dsl import OutputPath
@container_component
def container_with_if_placeholder(output_path: OutputPath(str),
dataset: Output[Dataset],
optional_input: str = 'default'):
return ContainerSpec(
image='python:3.7',
command=[
'my_program',
IfPresentPlaceholder(
input_name='optional_input',
then=[optional_input],
else_=['bye']), '--dataset',
IfPresentPlaceholder(
input_name='optional_input', then=[dataset.uri], else_=['bye'])
],
args=['--output_path', output_path])
if __name__ == '__main__':
from kfp import compiler
compiler.Compiler().compile(
pipeline_func=container_with_if_placeholder,
package_path=__file__.replace('.py', '.yaml'))