[qna] address heath's comments (Azure#20998)

sdk/cognitivelanguage/azure-ai-language-questionanswering/CHANGELOG.md

@@ -12,16 +12,13 @@
 * The filters model `StrictFilters` is renamed to `QueryFilters`
 * Enum `CompoundOperationKind` is renamed to `LogicalOperationKind`
 * We have removed the `string_index_type` input to all models and operations. We have also removed the `StringIndexType` enum.
-* The type of input `metadata` to `MetadataFilter` has changed from a dictionary of strings to a list of key-value tuples.
-For example, the input has changed from `{"key": "value"}` to `[("key", "value")]`.
-* The input to the `query_knowledge_base` and `query_text` overloads that take in a positional model for the body should be
-considered positional only.
+* The type of input `metadata` to `MetadataFilter` has changed from a dictionary of strings to a list of key-value tuples. For example, the input has changed from `{"key": "value"}` to `[("key", "value")]`.
+* The input to the `query_knowledge_base` and `query_text` overloads that take in a positional model for the body should be considered positional only.
 
 ### Features Added
 
 * The method `QuestionAnsweringClient.query_text` now supports a list of records as strings, where the ID value will be automatically populated.
-* Added keyword argument `default_language` onto `QuestionAnsweringClient`, which has default value `'en'`. The default language for any operation call will
-be this default language value.
+* Added keyword argument `default_language` onto `QuestionAnsweringClient`, which has default value `'en'`. The default language for any operation call will be this default language value.
 
 
 ## 1.0.0b1 (2021-07-27)

sdk/cognitivelanguage/azure-ai-language-questionanswering/azure/ai/language/questionanswering/_patch.py

@@ -60,3 +60,5 @@ def _verify_qna_id_and_question(query_knowledgebase_options):
         raise TypeError(
             "You need to pass in either `qna_id` or `question`."
         )
+    if qna_id and question:
+        raise TypeError("You can not specify both `qna_id` and `question`.")

sdk/cognitivelanguage/azure-ai-language-questionanswering/azure/ai/language/questionanswering/_question_answering_client.py

@@ -33,7 +33,6 @@ class QuestionAnsweringClient(QuestionAnsweringClientOperationsMixin):
     :param credential: Credential needed for the client to connect to Azure.
     :type credential: ~azure.core.credentials.AzureKeyCredential
     :keyword str default_language: Sets the default language to use for all operations.
-     Defaults to "en".
     """
 
     def __init__(
@@ -51,7 +50,7 @@ def __init__(
         self._serialize = Serializer(client_models)
         self._deserialize = Deserializer(client_models)
         self._serialize.client_side_validation = False
-        self._default_language = kwargs.pop("default_language", "en")
+        self._default_language = kwargs.pop("default_language", None)
 
     def send_request(
         self,

sdk/cognitivelanguage/azure-ai-language-questionanswering/azure/ai/language/questionanswering/aio/_question_answering_client.py

@@ -28,7 +28,6 @@ class QuestionAnsweringClient(QuestionAnsweringClientOperationsMixin):
     :param credential: Credential needed for the client to connect to Azure.
     :type credential: ~azure.core.credentials.AzureKeyCredential
     :keyword str default_language: Sets the default language to use for all operations.
-     Defaults to "en".
     """
 
     def __init__(self, endpoint: str, credential: AzureKeyCredential, **kwargs: Any) -> None:
@@ -40,7 +39,7 @@ def __init__(self, endpoint: str, credential: AzureKeyCredential, **kwargs: Any)
         self._serialize = Serializer(client_models)
         self._deserialize = Deserializer(client_models)
         self._serialize.client_side_validation = False
-        self._default_language = kwargs.pop("default_language", "en")
+        self._default_language = kwargs.pop("default_language", None)
 
     def send_request(self, request: HttpRequest, **kwargs: Any) -> Awaitable[AsyncHttpResponse]:
         """Runs the network request through the client's chained policies.