pipelines/sdk/python/kfp/compiler/test_data/pipeline_with_condition.py

50 lines
1.5 KiB
Python

# Copyright 2021 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 import components
from kfp import dsl
from kfp import compiler
from kfp.dsl import component
@component
def flip_coin_op() -> str:
"""Flip a coin and output heads or tails randomly."""
import random
result = 'heads' if random.randint(0, 1) == 0 else 'tails'
return result
@component
def print_op(msg: str):
"""Print a message."""
print(msg)
@dsl.pipeline(name='single-condition-pipeline', pipeline_root='dummy_root')
def my_pipeline(text: str = 'condition test'):
flip1 = flip_coin_op().set_caching_options(False)
print_op(msg=flip1.output)
with dsl.Condition(flip1.output == 'heads'):
flip2 = flip_coin_op().set_caching_options(False)
print_op(msg=flip2.output)
print_op(msg=text)
if __name__ == '__main__':
compiler.Compiler().compile(
pipeline_func=my_pipeline,
package_path=__file__.replace('.py', '.yaml'))