101 lines
3.6 KiB
Python
101 lines
3.6 KiB
Python
# Copyright 2020 Google LLC
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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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# coding: utf-8
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"""
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Kubeflow Pipelines API
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This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.
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Contact: kubeflow-pipelines@google.com
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Generated by: https://openapi-generator.tech
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"""
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from __future__ import absolute_import
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import unittest
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import datetime
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import kfp_server_api
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from kfp_server_api.models.api_run import ApiRun # noqa: E501
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from kfp_server_api.rest import ApiException
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class TestApiRun(unittest.TestCase):
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"""ApiRun unit test stubs"""
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def setUp(self):
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pass
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def tearDown(self):
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pass
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def make_instance(self, include_optional):
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"""Test ApiRun
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include_option is a boolean, when False only required
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params are included, when True both required and
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optional params are included """
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# model = kfp_server_api.models.api_run.ApiRun() # noqa: E501
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if include_optional :
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return ApiRun(
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id = '0',
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name = '0',
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storage_state = 'STORAGESTATE_AVAILABLE',
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description = '0',
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pipeline_spec = kfp_server_api.models.api_pipeline_spec.apiPipelineSpec(
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pipeline_id = '0',
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pipeline_name = '0',
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workflow_manifest = '0',
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pipeline_manifest = '0',
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parameters = [
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kfp_server_api.models.api_parameter.apiParameter(
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name = '0',
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value = '0', )
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], ),
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resource_references = [
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kfp_server_api.models.api_resource_reference.apiResourceReference(
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key = kfp_server_api.models.api_resource_key.apiResourceKey(
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type = 'UNKNOWN_RESOURCE_TYPE',
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id = '0', ),
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name = '0',
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relationship = 'UNKNOWN_RELATIONSHIP', )
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],
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service_account = '0',
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created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
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scheduled_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
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finished_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'),
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status = '0',
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error = '0',
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metrics = [
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kfp_server_api.models.api_run_metric.apiRunMetric(
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name = '0',
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node_id = '0',
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number_value = 1.337,
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format = 'UNSPECIFIED', )
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]
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)
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else :
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return ApiRun(
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)
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def testApiRun(self):
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"""Test ApiRun"""
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inst_req_only = self.make_instance(include_optional=False)
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inst_req_and_optional = self.make_instance(include_optional=True)
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if __name__ == '__main__':
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unittest.main()
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