# Copyright 2023 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. """Hello world v2 engine pipeline.""" from __future__ import annotations import unittest from kfp.samples.test.utils import KfpTask from kfp.samples.test.utils import run_pipeline_func from kfp.samples.test.utils import TaskInputs from kfp.samples.test.utils import TaskOutputs from kfp.samples.test.utils import TestCase import kfp_server_api from ml_metadata.proto import Execution from .pipeline_with_env import pipeline_with_env def verify(t: unittest.TestCase, run: kfp_server_api.ApiRun, tasks: dict[str, KfpTask], **kwargs): t.assertEqual(run.status, 'Succeeded') t.assertEqual( { 'print-env-op': KfpTask( name='print-env-op', type='system.ContainerExecution', state=Execution.State.COMPLETE, inputs=TaskInputs(parameters={}, artifacts=[]), outputs=TaskOutputs(parameters={}, artifacts=[])), 'check-env': KfpTask( name='check-env', type='system.ContainerExecution', state=Execution.State.COMPLETE, inputs=TaskInputs(parameters={}, artifacts=[]), outputs=TaskOutputs(parameters={}, artifacts=[])), }, tasks, ) if __name__ == '__main__': run_pipeline_func([ TestCase( pipeline_func=pipeline_with_env, verify_func=verify, ), ])