69 lines
2.4 KiB
Python
Executable File
69 lines
2.4 KiB
Python
Executable File
# 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
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from kfp_tekton.tekton import CEL_ConditionOp
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from kfp import components
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def random_num(low: int, high: int) -> int:
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"""Generate a random number between low and high."""
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import random
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result = random.randint(low, high)
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print(result)
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return result
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def flip_coin() -> str:
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"""Flip a coin and output heads or tails randomly."""
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import random
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result = 'heads' if random.randint(0, 1) == 0 else 'tails'
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print(result)
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return result
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def print_msg(msg: str):
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"""Print a message."""
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print(msg)
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flip_coin_op = components.create_component_from_func(
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flip_coin, base_image='python:alpine3.6')
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print_op = components.create_component_from_func(
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print_msg, base_image='python:alpine3.6')
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random_num_op = components.create_component_from_func(
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random_num, base_image='python:alpine3.6')
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@dsl.pipeline(
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name='conditional-execution-pipeline',
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description='Shows how to use dsl.Condition() and task dependencies on multiple condition branches.'
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)
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def flipcoin_pipeline():
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flip = flip_coin_op()
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cel_condition = CEL_ConditionOp("'%s' != 'hey'" % flip.output)
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with dsl.Condition(cel_condition.output == 'true'):
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random_num_head = random_num_op(6, 9)
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cel_condition_2 = CEL_ConditionOp("%s > 5" % random_num_head.output)
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with dsl.Condition(cel_condition_2.output == 'true'):
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print_op('heads and %s > 5!' % random_num_head.output)
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if __name__ == '__main__':
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from kfp_tekton.compiler import TektonCompiler
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import kfp_tekton
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pipeline_conf = kfp_tekton.compiler.pipeline_utils.TektonPipelineConf()
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pipeline_conf.add_pipeline_label('pipelines.kubeflow.org/cache_enabled', 'false')
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TektonCompiler().compile(flipcoin_pipeline, __file__.replace('.py', '.yaml'), tekton_pipeline_conf=pipeline_conf)
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