# coding: utf-8

"""
    Kubeflow Pipelines on Tekton API

    This file contains REST API specification for Kubeflow Pipelines on Tekton. The file is autogenerated from the swagger definition.

    Contact: prashsh1@in.ibm.com
    Generated by: https://openapi-generator.tech
"""


from __future__ import absolute_import

import unittest
import datetime

import kfp_tekton_server_api
from kfp_tekton_server_api.models.v1_list_runs_response import V1ListRunsResponse  # noqa: E501
from kfp_tekton_server_api.rest import ApiException

class TestV1ListRunsResponse(unittest.TestCase):
    """V1ListRunsResponse unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional):
        """Test V1ListRunsResponse
            include_option is a boolean, when False only required
            params are included, when True both required and
            optional params are included """
        # model = kfp_tekton_server_api.models.v1_list_runs_response.V1ListRunsResponse()  # noqa: E501
        if include_optional :
            return V1ListRunsResponse(
                runs = [
                    kfp_tekton_server_api.models.v1_run.v1Run(
                        id = '0', 
                        name = '0', 
                        storage_state = 'STORAGESTATE_AVAILABLE', 
                        description = '0', 
                        pipeline_spec = kfp_tekton_server_api.models.v1_pipeline_spec.v1PipelineSpec(
                            pipeline_id = '0', 
                            pipeline_name = '0', 
                            workflow_manifest = '0', 
                            pipeline_manifest = '0', 
                            parameters = [
                                kfp_tekton_server_api.models.v1_parameter.v1Parameter(
                                    name = '0', 
                                    value = '0', )
                                ], 
                            runtime_config = kfp_tekton_server_api.models.pipeline_spec_runtime_config.PipelineSpecRuntimeConfig(
                                parameters = {
                                    'key' : kfp_tekton_server_api.models.v1_value.v1Value(
                                        int_value = '0', 
                                        double_value = 1.337, 
                                        string_value = '0', )
                                    }, 
                                pipeline_root = '0', ), ), 
                        resource_references = [
                            kfp_tekton_server_api.models.v1_resource_reference.v1ResourceReference(
                                key = kfp_tekton_server_api.models.v1_resource_key.v1ResourceKey(
                                    type = 'UNKNOWN_RESOURCE_TYPE', 
                                    id = '0', ), 
                                name = '0', 
                                relationship = 'UNKNOWN_RELATIONSHIP', )
                            ], 
                        service_account = '0', 
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        scheduled_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        finished_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        status = '0', 
                        error = '0', 
                        metrics = [
                            kfp_tekton_server_api.models.v1_run_metric.v1RunMetric(
                                name = '0', 
                                node_id = '0', 
                                number_value = 1.337, 
                                format = 'UNSPECIFIED', )
                            ], )
                    ], 
                total_size = 56, 
                next_page_token = '0'
            )
        else :
            return V1ListRunsResponse(
        )

    def testV1ListRunsResponse(self):
        """Test V1ListRunsResponse"""
        inst_req_only = self.make_instance(include_optional=False)
        inst_req_and_optional = self.make_instance(include_optional=True)


if __name__ == '__main__':
    unittest.main()
