# coding: utf-8

"""
    Synthetic Users

     **Description**: Synthetic Users provides AI-powered, human-like participants for user and market research, streamlining data collection and insight generation. With multi-agent architecture, it simulates realistic, scalable interactions, enabling efficient research through synthetic interviews and surveys.  **Features**: - **In-depth Interviews**: Interactive, AI-driven interviews with customizable follow-up options. - **Global Surveys**: Fast, quantitative data collection at scale. - **Customizable Synthetic Users**: Integrate proprietary data for tailored research. - **Multi-agent Framework**: Mimics real human interactions for accurate insights.  **Use Cases**: - **Product Testing**: Identify needs and refine concepts. - **Market Analysis**: Expand reach and enhance user satisfaction.    For more information, visit [Synthetic Users](https://www.syntheticusers.com).

    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 syntheticusers.models.page_interview import PageInterview

class TestPageInterview(unittest.TestCase):
    """PageInterview unit test stubs"""

    def setUp(self):
        pass

    def tearDown(self):
        pass

    def make_instance(self, include_optional) -> PageInterview:
        """Test PageInterview
            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 `PageInterview`
        """
        model = PageInterview()
        if include_optional:
            return PageInterview(
                items = [
                    syntheticusers.models.interview.Interview(
                        id = '', 
                        project_id = '', 
                        study_id = '', 
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        status = '', 
                        processed_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        helpful = True, 
                        topics = [
                            ''
                            ], 
                        synthetic_user_id = '', 
                        audience_id = '', 
                        conversations = [
                            syntheticusers.models.conversation.Conversation(
                                id = '', 
                                type = '', 
                                message = '', 
                                topic = '', 
                                initial = True, 
                                created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                interview_id = '', 
                                annotations = [
                                    syntheticusers.models.annotation.Annotation(
                                        id = '', 
                                        conversation_id = '', 
                                        user_interview_id = '', 
                                        annotation = '', 
                                        start_index = 56, 
                                        end_index = 56, 
                                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                        label = '', )
                                    ], 
                                feedback = [
                                    syntheticusers.models.conversation_feedback.ConversationFeedback(
                                        id = '', 
                                        conversation_id = '', 
                                        user_id = '', 
                                        user_interview_id = '', 
                                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                        data = null, )
                                    ], 
                                references = [
                                    syntheticusers.models.conversation_reference.ConversationReference(
                                        type = '', 
                                        file_id = '', 
                                        context = '', )
                                    ], )
                            ], )
                    ],
                total = 0.0,
                page = 1.0,
                size = 1.0,
                pages = 0.0
            )
        else:
            return PageInterview(
                items = [
                    syntheticusers.models.interview.Interview(
                        id = '', 
                        project_id = '', 
                        study_id = '', 
                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        status = '', 
                        processed_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                        helpful = True, 
                        topics = [
                            ''
                            ], 
                        synthetic_user_id = '', 
                        audience_id = '', 
                        conversations = [
                            syntheticusers.models.conversation.Conversation(
                                id = '', 
                                type = '', 
                                message = '', 
                                topic = '', 
                                initial = True, 
                                created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                interview_id = '', 
                                annotations = [
                                    syntheticusers.models.annotation.Annotation(
                                        id = '', 
                                        conversation_id = '', 
                                        user_interview_id = '', 
                                        annotation = '', 
                                        start_index = 56, 
                                        end_index = 56, 
                                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                        label = '', )
                                    ], 
                                feedback = [
                                    syntheticusers.models.conversation_feedback.ConversationFeedback(
                                        id = '', 
                                        conversation_id = '', 
                                        user_id = '', 
                                        user_interview_id = '', 
                                        created_at = datetime.datetime.strptime('2013-10-20 19:20:30.00', '%Y-%m-%d %H:%M:%S.%f'), 
                                        data = null, )
                                    ], 
                                references = [
                                    syntheticusers.models.conversation_reference.ConversationReference(
                                        type = '', 
                                        file_id = '', 
                                        context = '', )
                                    ], )
                            ], )
                    ],
                total = 0.0,
                page = 1.0,
                size = 1.0,
        )
        """

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

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