# 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_search_output import RagSearchOutput

class TestRagSearchOutput(unittest.TestCase):
    """RagSearchOutput unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> RagSearchOutput:
        """Test RagSearchOutput
            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 `RagSearchOutput`
        """
        model = RagSearchOutput()
        if include_optional:
            return RagSearchOutput(
                response = _generated.models.rag_provider_query_response.RagProviderQueryResponse(
                    response = _generated.models.weaviate_query_results.WeaviateQueryResults(
                        rag_provider = 'weaviate', 
                        objects = [
                            _generated.models.weaviate_query_result.WeaviateQueryResult(
                                uuid = '', 
                                metadata = _generated.models.weaviate_query_result_metadata.WeaviateQueryResultMetadata(
                                    creation_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                    last_update_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                    distance = 1.337, 
                                    certainty = 1.337, 
                                    score = 1.337, 
                                    explain_score = '', 
                                    is_consistent = True, ), 
                                properties = _generated.models.properties.Properties(), 
                                vector = {
                                    'key' : null
                                    }, )
                            ], ), )
            )
        else:
            return RagSearchOutput(
                response = _generated.models.rag_provider_query_response.RagProviderQueryResponse(
                    response = _generated.models.weaviate_query_results.WeaviateQueryResults(
                        rag_provider = 'weaviate', 
                        objects = [
                            _generated.models.weaviate_query_result.WeaviateQueryResult(
                                uuid = '', 
                                metadata = _generated.models.weaviate_query_result_metadata.WeaviateQueryResultMetadata(
                                    creation_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                    last_update_time = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                    distance = 1.337, 
                                    certainty = 1.337, 
                                    score = 1.337, 
                                    explain_score = '', 
                                    is_consistent = True, ), 
                                properties = _generated.models.properties.Properties(), 
                                vector = {
                                    'key' : null
                                    }, )
                            ], ), ),
        )
        """

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

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