# coding: utf-8

"""
    Arthur GenAI Engine

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: 2.1.294
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


import unittest

from arthur_observability_sdk._generated.models.create_prompt_experiment_request import CreatePromptExperimentRequest

class TestCreatePromptExperimentRequest(unittest.TestCase):
    """CreatePromptExperimentRequest unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> CreatePromptExperimentRequest:
        """Test CreatePromptExperimentRequest
            include_optional is a boolean, when False only required
            params are included, when True both required and
            optional params are included """
        # uncomment below to create an instance of `CreatePromptExperimentRequest`
        """
        model = CreatePromptExperimentRequest()
        if include_optional:
            return CreatePromptExperimentRequest(
                name = '',
                description = '',
                dataset_ref = arthur_observability_sdk._generated.models.dataset_ref_input.DatasetRefInput(
                    id = '', 
                    version = 56, ),
                eval_list = [
                    arthur_observability_sdk._generated.models.eval_ref.EvalRef(
                        name = '', 
                        version = 56, 
                        variable_mapping = [
                            arthur_observability_sdk._generated.models.eval_variable_mapping.EvalVariableMapping(
                                variable_name = '', 
                                source = null, )
                            ], )
                    ],
                dataset_row_filter = [
                    arthur_observability_sdk._generated.models.new_dataset_version_row_column_item_request.NewDatasetVersionRowColumnItemRequest(
                        column_name = '', 
                        column_value = '', )
                    ],
                prompt_configs = [
                    null
                    ],
                prompt_variable_mapping = [
                    arthur_observability_sdk._generated.models.prompt_variable_mapping.PromptVariableMapping(
                        variable_name = '', 
                        source = arthur_observability_sdk._generated.models.dataset_column_variable_source.DatasetColumnVariableSource(
                            type = 'dataset_column', 
                            dataset_column = arthur_observability_sdk._generated.models.dataset_column_source.DatasetColumnSource(
                                name = '', ), ), )
                    ]
            )
        else:
            return CreatePromptExperimentRequest(
                name = '',
                dataset_ref = arthur_observability_sdk._generated.models.dataset_ref_input.DatasetRefInput(
                    id = '', 
                    version = 56, ),
                eval_list = [
                    arthur_observability_sdk._generated.models.eval_ref.EvalRef(
                        name = '', 
                        version = 56, 
                        variable_mapping = [
                            arthur_observability_sdk._generated.models.eval_variable_mapping.EvalVariableMapping(
                                variable_name = '', 
                                source = null, )
                            ], )
                    ],
                prompt_configs = [
                    null
                    ],
                prompt_variable_mapping = [
                    arthur_observability_sdk._generated.models.prompt_variable_mapping.PromptVariableMapping(
                        variable_name = '', 
                        source = arthur_observability_sdk._generated.models.dataset_column_variable_source.DatasetColumnVariableSource(
                            type = 'dataset_column', 
                            dataset_column = arthur_observability_sdk._generated.models.dataset_column_source.DatasetColumnSource(
                                name = '', ), ), )
                    ],
        )
        """

    def testCreatePromptExperimentRequest(self):
        """Test CreatePromptExperimentRequest"""
        # inst_req_only = self.make_instance(include_optional=False)
        # inst_req_and_optional = self.make_instance(include_optional=True)

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