# coding: utf-8

"""
    Graphiant APIs

    **To use the APIs:**  1) Login using `/api/v1/auth/login`   2) Copy the value of \"token\" in the response   3) Click the \"Authorize\" button   4) In the \"Value\" text field enter: `Bearer <your token>`   5) Click \"Authorize\"   6) All requests are now authorized.  **Token valid for 2 hours. If expired:**   - Login again, click \"Authorize\", paste new token.

    The version of the OpenAPI document: 1.0.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

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


import unittest

from graphiant_sdk.models.v2_assistant_get_conversation_details_post200_response import V2AssistantGetConversationDetailsPost200Response

class TestV2AssistantGetConversationDetailsPost200Response(unittest.TestCase):
    """V2AssistantGetConversationDetailsPost200Response unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> V2AssistantGetConversationDetailsPost200Response:
        """Test V2AssistantGetConversationDetailsPost200Response
            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 `V2AssistantGetConversationDetailsPost200Response`
        """
        model = V2AssistantGetConversationDetailsPost200Response()
        if include_optional:
            return V2AssistantGetConversationDetailsPost200Response(
                conversation_id = 'example string',
                response_list = [
                    graphiant_sdk.models._v2_assistant_add_to_conversation_post_200_response._v2_assistant_add_to_conversation_post_200_response(
                        conversation_id = 'example string', 
                        dataframe_dictionary = [
                            graphiant_sdk.models._v2_assistant_add_to_conversation_post_200_response_dataframe_dictionary_inner._v2_assistant_add_to_conversation_post_200_response_dataframeDictionary_inner(
                                dataframe_dictionary_map = {
                                    'key' : 'example string'
                                    }, 
                                x_axis = 'example string', 
                                y_axis = 'example string', )
                            ], 
                        original_question = graphiant_sdk.models._v2_assistant_add_to_conversation_post_request_question._v2_assistant_add_to_conversation_post_request_question(
                            conversation_id = 'example string', 
                            question_language = 'ENUM_VALUE', 
                            question_text = 'example string', 
                            question_timestamp = 1234567891011, ), 
                        response_id = 'example string', 
                        response_language = 'ENUM_VALUE', 
                        response_text = 'example string', 
                        response_timestamp = 1234567891011, 
                        response_type = 'ENUM_VALUE', )
                    ],
                user_id = 'example string'
            )
        else:
            return V2AssistantGetConversationDetailsPost200Response(
        )
        """

    def testV2AssistantGetConversationDetailsPost200Response(self):
        """Test V2AssistantGetConversationDetailsPost200Response"""
        # inst_req_only = self.make_instance(include_optional=False)
        # inst_req_and_optional = self.make_instance(include_optional=True)

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