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[AutoPR cognitiveservices/data-plane/QnAMaker] Updating the docs to include rankerType field in QueryDTO #8021

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[AutoPR cognitiveservices/data-plane/QnAMaker] Updating the docs to include rankerType field in QueryDTO #8021

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5 changes: 5 additions & 0 deletions ...eservices-knowledge-qnamaker/azure/cognitiveservices/knowledge/qnamaker/models/_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -538,6 +538,9 @@ class QueryDTO(Model):
:param context: Context object with previous QnA's information.
:type context:
~azure.cognitiveservices.knowledge.qnamaker.models.QueryDTOContext
:param ranker_type: Optional field. Set to 'QuestionOnly' for using a
question only Ranker.
:type ranker_type: str
:param strict_filters: Find only answers that contain these metadata.
:type strict_filters:
list[~azure.cognitiveservices.knowledge.qnamaker.models.MetadataDTO]
Expand All @@ -551,6 +554,7 @@ class QueryDTO(Model):
'is_test': {'key': 'isTest', 'type': 'bool'},
'score_threshold': {'key': 'scoreThreshold', 'type': 'float'},
'context': {'key': 'context', 'type': 'QueryDTOContext'},
'ranker_type': {'key': 'rankerType', 'type': 'str'},
'strict_filters': {'key': 'strictFilters', 'type': '[MetadataDTO]'},
}

Expand All @@ -563,6 +567,7 @@ def __init__(self, **kwargs):
self.is_test = kwargs.get('is_test', None)
self.score_threshold = kwargs.get('score_threshold', None)
self.context = kwargs.get('context', None)
self.ranker_type = kwargs.get('ranker_type', None)
self.strict_filters = kwargs.get('strict_filters', None)


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7 changes: 6 additions & 1 deletion ...vices-knowledge-qnamaker/azure/cognitiveservices/knowledge/qnamaker/models/_models_py3.py
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Original file line number Diff line number Diff line change
Expand Up @@ -538,6 +538,9 @@ class QueryDTO(Model):
:param context: Context object with previous QnA's information.
:type context:
~azure.cognitiveservices.knowledge.qnamaker.models.QueryDTOContext
:param ranker_type: Optional field. Set to 'QuestionOnly' for using a
question only Ranker.
:type ranker_type: str
:param strict_filters: Find only answers that contain these metadata.
:type strict_filters:
list[~azure.cognitiveservices.knowledge.qnamaker.models.MetadataDTO]
Expand All @@ -551,10 +554,11 @@ class QueryDTO(Model):
'is_test': {'key': 'isTest', 'type': 'bool'},
'score_threshold': {'key': 'scoreThreshold', 'type': 'float'},
'context': {'key': 'context', 'type': 'QueryDTOContext'},
'ranker_type': {'key': 'rankerType', 'type': 'str'},
'strict_filters': {'key': 'strictFilters', 'type': '[MetadataDTO]'},
}

def __init__(self, *, qna_id: str=None, question: str=None, top: int=None, user_id: str=None, is_test: bool=None, score_threshold: float=None, context=None, strict_filters=None, **kwargs) -> None:
def __init__(self, *, qna_id: str=None, question: str=None, top: int=None, user_id: str=None, is_test: bool=None, score_threshold: float=None, context=None, ranker_type: str=None, strict_filters=None, **kwargs) -> None:
super(QueryDTO, self).__init__(**kwargs)
self.qna_id = qna_id
self.question = question
Expand All @@ -563,6 +567,7 @@ def __init__(self, *, qna_id: str=None, question: str=None, top: int=None, user_
self.is_test = is_test
self.score_threshold = score_threshold
self.context = context
self.ranker_type = ranker_type
self.strict_filters = strict_filters


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