Source code for azure.cognitiveservices.knowledge.qnamaker.models.prompt_dto_qna_py3

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from .qn_adto_py3 import QnADTO


[docs]class PromptDTOQna(QnADTO): """QnADTO - Either QnaId or QnADTO needs to be present in a PromptDTO object. All required parameters must be populated in order to send to Azure. :param id: Unique id for the Q-A. :type id: int :param answer: Required. Answer text :type answer: str :param source: Source from which Q-A was indexed. eg. https://docs.microsoft.com/en-us/azure/cognitive-services/QnAMaker/FAQs :type source: str :param questions: Required. List of questions associated with the answer. :type questions: list[str] :param metadata: List of metadata associated with the answer. :type metadata: list[~azure.cognitiveservices.knowledge.qnamaker.models.MetadataDTO] :param context: Context of a QnA :type context: ~azure.cognitiveservices.knowledge.qnamaker.models.QnADTOContext :param last_updated_timestamp: Timestamp when the QnA was last updated. :type last_updated_timestamp: str """ _validation = { 'answer': {'required': True, 'max_length': 25000, 'min_length': 1}, 'source': {'max_length': 300}, 'questions': {'required': True}, 'last_updated_timestamp': {'max_length': 300}, } _attribute_map = { 'id': {'key': 'id', 'type': 'int'}, 'answer': {'key': 'answer', 'type': 'str'}, 'source': {'key': 'source', 'type': 'str'}, 'questions': {'key': 'questions', 'type': '[str]'}, 'metadata': {'key': 'metadata', 'type': '[MetadataDTO]'}, 'context': {'key': 'context', 'type': 'QnADTOContext'}, 'last_updated_timestamp': {'key': 'lastUpdatedTimestamp', 'type': 'str'}, } def __init__(self, *, answer: str, questions, id: int=None, source: str=None, metadata=None, context=None, last_updated_timestamp: str=None, **kwargs) -> None: super(PromptDTOQna, self).__init__(id=id, answer=answer, source=source, questions=questions, metadata=metadata, context=context, last_updated_timestamp=last_updated_timestamp, **kwargs)