# Copyright 2022 kubeflow.org # # 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. # This use case was discussed in https://github.com/kubeflow/kfp-tekton/issues/845 from kfp import dsl, components from kfp.components import load_component_from_text from kfp_tekton import tekton PrintOp = load_component_from_text(""" name: print inputs: - name: msg outputs: - name: stdout implementation: container: image: alpine:3.6 command: - concat: - "echo " - { inputValue: msg } """) op1_yaml = '''\ name: 'my-in-coop1' inputs: - {name: item, type: Integer} - {name: param, type: Integer} implementation: container: image: library/bash:4.4.23 command: ['sh', '-c'] args: - | set -e echo op1 "$0" "$1" - {inputValue: item} - {inputValue: param} ''' @dsl.pipeline(name='pipeline') def pipeline(param: int = 10): loop_args = [1, 2] with dsl.ParallelFor(loop_args, parallelism=1) as item: op1_template = components.load_component_from_text(op1_yaml) op1 = op1_template(item, param) condi_1 = tekton.CEL_ConditionOp(f"{item} == 2").output with dsl.Condition(condi_1 == 'true'): tekton.Break() if __name__ == '__main__': from kfp_tekton.compiler import TektonCompiler as Compiler from kfp_tekton.compiler.pipeline_utils import TektonPipelineConf tekton_pipeline_conf = TektonPipelineConf() tekton_pipeline_conf.set_tekton_inline_spec(True) Compiler().compile(pipeline, __file__.replace('.py', '.yaml'), tekton_pipeline_conf=tekton_pipeline_conf)