# 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 _generated.models.rag_notebook_detail import RagNotebookDetail

class TestRagNotebookDetail(unittest.TestCase):
    """RagNotebookDetail unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> RagNotebookDetail:
        """Test RagNotebookDetail
            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 `RagNotebookDetail`
        """
        model = RagNotebookDetail()
        if include_optional:
            return RagNotebookDetail(
                id = '',
                task_id = '',
                name = '',
                description = '',
                created_at = '',
                updated_at = '',
                state = _generated.models.rag_notebook_state_response.RagNotebookStateResponse(
                    rag_configs = [
                        null
                        ], 
                    dataset_ref = _generated.models.dataset_ref.DatasetRef(
                        id = '', 
                        name = '', 
                        version = 56, ), 
                    dataset_row_filter = [
                        _generated.models.new_dataset_version_row_column_item_request.NewDatasetVersionRowColumnItemRequest(
                            column_name = '', 
                            column_value = '', )
                        ], 
                    eval_list = [
                        _generated.models.eval_ref.EvalRef(
                            name = '', 
                            version = 56, 
                            variable_mapping = [
                                _generated.models.eval_variable_mapping.EvalVariableMapping(
                                    variable_name = '', 
                                    source = null, )
                                ], )
                        ], ),
                experiments = [
                    _generated.models.rag_experiment_summary.RagExperimentSummary(
                        id = '', 
                        name = '', 
                        description = '', 
                        created_at = '', 
                        finished_at = '', 
                        status = 'queued', 
                        dataset_id = '', 
                        dataset_name = '', 
                        dataset_version = 56, 
                        total_rows = 56, 
                        completed_rows = 56, 
                        failed_rows = 56, 
                        total_cost = '', 
                        rag_configs = [
                            null
                            ], )
                    ]
            )
        else:
            return RagNotebookDetail(
                id = '',
                task_id = '',
                name = '',
                created_at = '',
                updated_at = '',
                state = _generated.models.rag_notebook_state_response.RagNotebookStateResponse(
                    rag_configs = [
                        null
                        ], 
                    dataset_ref = _generated.models.dataset_ref.DatasetRef(
                        id = '', 
                        name = '', 
                        version = 56, ), 
                    dataset_row_filter = [
                        _generated.models.new_dataset_version_row_column_item_request.NewDatasetVersionRowColumnItemRequest(
                            column_name = '', 
                            column_value = '', )
                        ], 
                    eval_list = [
                        _generated.models.eval_ref.EvalRef(
                            name = '', 
                            version = 56, 
                            variable_mapping = [
                                _generated.models.eval_variable_mapping.EvalVariableMapping(
                                    variable_name = '', 
                                    source = null, )
                                ], )
                        ], ),
                experiments = [
                    _generated.models.rag_experiment_summary.RagExperimentSummary(
                        id = '', 
                        name = '', 
                        description = '', 
                        created_at = '', 
                        finished_at = '', 
                        status = 'queued', 
                        dataset_id = '', 
                        dataset_name = '', 
                        dataset_version = 56, 
                        total_rows = 56, 
                        completed_rows = 56, 
                        failed_rows = 56, 
                        total_cost = '', 
                        rag_configs = [
                            null
                            ], )
                    ],
        )
        """

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

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