59 lines
1.9 KiB
Python
59 lines
1.9 KiB
Python
# Copyright 2021 The Kubeflow Authors
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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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"""Fail pipeline."""
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from __future__ import annotations
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import unittest
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import kfp.deprecated as kfp
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import kfp_server_api
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from ml_metadata.proto import Execution
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from .fail import fail_pipeline
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from .fail_v2 import fail_pipeline as fail_v2_pipeline
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from kfp.samples.test.utils import TaskInputs, TaskOutputs, run_pipeline_func, TestCase, KfpTask
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def verify(run, **kwargs):
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assert run.status == 'Failed'
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def verify_v2(t: unittest.TestCase, run: kfp_server_api.ApiRun,
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tasks: dict[str, KfpTask], **kwargs):
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t.assertEqual(run.status, 'Failed')
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t.assertEqual(
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{
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'fail':
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KfpTask(
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name='fail',
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type='system.ContainerExecution',
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# TODO(Bobgy): fix v2 engine to properly publish FAILED state.
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state=Execution.State.RUNNING,
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inputs=TaskInputs(parameters={}, artifacts=[]),
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outputs=TaskOutputs(parameters={}, artifacts=[]),
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)
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},
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tasks,
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)
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run_pipeline_func([
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TestCase(
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pipeline_func=fail_v2_pipeline,
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verify_func=verify_v2,
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mode=kfp.dsl.PipelineExecutionMode.V2_ENGINE),
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TestCase(
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pipeline_func=fail_pipeline,
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verify_func=verify,
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mode=kfp.dsl.PipelineExecutionMode.V1_LEGACY),
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])
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