Search doc fix

sdk/search/azure-search-documents/azure/search/documents/_generated/models/_models_py3.py

@@ -1865,7 +1865,7 @@ def __init__(self, **kwargs: Any) -> None:
 
 
 class SearchScoreThreshold(VectorThreshold):
-    """The results of the vector query will filter based on the '@search.score' value. Note this is
+    """The results of the vector query will filter based on the '\\@search.score' value. Note this is
     the @search.score returned as part of the search response. The threshold direction will be
     chosen for higher @search.score.
 
@@ -1874,7 +1874,7 @@ class SearchScoreThreshold(VectorThreshold):
     :ivar kind: The kind of threshold used to filter vector queries. Required. Known values are:
      "vectorSimilarity" and "searchScore".
     :vartype kind: str or ~azure.search.documents.models.VectorThresholdKind
-    :ivar value: The threshold will filter based on the '@search.score' value. Note this is the
+    :ivar value: The threshold will filter based on the '\\@search.score' value. Note this is the
      @search.score returned as part of the search response. The threshold direction will be chosen
      for higher @search.score. Required.
     :vartype value: float
@@ -1892,7 +1892,7 @@ class SearchScoreThreshold(VectorThreshold):
 
     def __init__(self, *, value: float, **kwargs: Any) -> None:
         """
-        :keyword value: The threshold will filter based on the '@search.score' value. Note this is the
+        :keyword value: The threshold will filter based on the '\\@search.score' value. Note this is the
          @search.score returned as part of the search response. The threshold direction will be chosen
          for higher @search.score. Required.
         :paramtype value: float

sdk/search/azure-search-documents/azure/search/documents/_generated/models/_search_index_client_enums.py

@@ -419,6 +419,6 @@ class VectorThresholdKind(str, Enum, metaclass=CaseInsensitiveEnumMeta):
     threshold direction (larger or smaller) will be chosen automatically according to the metric
     used by the field."""
     SEARCH_SCORE = "searchScore"
-    """The results of the vector query will filter based on the '@search.score' value. Note this is
+    """The results of the vector query will filter based on the '\\@search.score' value. Note this is
     the @search.score returned as part of the search response. The threshold direction will be
     chosen for higher @search.score."""

sdk/search/azure-search-documents/azure/search/documents/_search_client.py

@@ -690,7 +690,7 @@ def index_documents(self, batch: IndexDocumentsBatch, **kwargs: Any) -> List[Ind
         :return: List of IndexingResult
         :rtype:  list[IndexingResult]
 
-        :raises ~azure.search.documents.RequestEntityTooLargeError
+        :raises ~azure.search.documents.RequestEntityTooLargeError: The request is too large.
         """
         return self._index_documents_actions(actions=batch.actions, **kwargs)
 

sdk/search/azure-search-documents/azure/search/documents/_search_indexing_buffered_sender.py

@@ -271,7 +271,7 @@ def index_documents(self, batch: IndexDocumentsBatch, **kwargs) -> List[Indexing
         :return: Indexing result of each action in the batch.
         :rtype:  list[IndexingResult]
 
-        :raises ~azure.search.documents.RequestEntityTooLargeError
+        :raises ~azure.search.documents.RequestEntityTooLargeError: The request is too large.
         """
         return self._index_documents_actions(actions=batch.actions, **kwargs)
 

sdk/search/azure-search-documents/azure/search/documents/aio/_search_client_async.py

@@ -687,7 +687,7 @@ async def index_documents(self, batch: IndexDocumentsBatch, **kwargs: Any) -> Li
         :return: List of IndexingResult
         :rtype:  list[IndexingResult]
 
-        :raises ~azure.search.documents.RequestEntityTooLargeError
+        :raises ~azure.search.documents.RequestEntityTooLargeError: The request is too large.
         """
         return await self._index_documents_actions(actions=batch.actions, **kwargs)
 

sdk/search/azure-search-documents/azure/search/documents/indexes/_search_indexer_client.py

@@ -597,7 +597,7 @@ def create_skillset(self, skillset: SearchIndexerSkillset, **kwargs: Any) -> Sea
         _validate_skillset(skillset)
         skillset_gen = skillset._to_generated() if hasattr(skillset, "_to_generated") else skillset
 
-        result = self._client.skillsets.create(skillset_gen, **kwargs)
+        result = self._client.skillsets.create(skillset_gen, **kwargs)  # type: ignore
         return cast(SearchIndexerSkillset, SearchIndexerSkillset._from_generated(result))
 
     @distributed_trace
@@ -635,7 +635,7 @@ def create_or_update_skillset(
 
         result = self._client.skillsets.create_or_update(
             skillset_name=skillset.name,
-            skillset=skillset_gen,
+            skillset=skillset_gen,  # type: ignore
             prefer="return=representation",
             error_map=error_map,
             skip_indexer_reset_requirement_for_cache=skip_indexer_reset_requirement_for_cache,

sdk/search/azure-search-documents/azure/search/documents/indexes/aio/_search_indexer_client.py

@@ -584,7 +584,7 @@ async def create_skillset(self, skillset: SearchIndexerSkillset, **kwargs: Any)
         """
         kwargs["headers"] = self._merge_client_headers(kwargs.get("headers"))
         skillset_gen = skillset._to_generated() if hasattr(skillset, "_to_generated") else skillset
-        result = await self._client.skillsets.create(skillset_gen, **kwargs)
+        result = await self._client.skillsets.create(skillset_gen, **kwargs)  # type: ignore
         return cast(SearchIndexerSkillset, SearchIndexerSkillset._from_generated(result))
 
     @distributed_trace_async
@@ -621,7 +621,7 @@ async def create_or_update_skillset(
 
         result = await self._client.skillsets.create_or_update(
             skillset_name=skillset.name,
-            skillset=skillset_gen,
+            skillset=skillset_gen,  # type: ignore
             prefer="return=representation",
             error_map=error_map,
             skip_indexer_reset_requirement_for_cache=skip_indexer_reset_requirement_for_cache,

sdk/search/azure-search-documents/azure/search/documents/indexes/models/_models.py

@@ -98,7 +98,7 @@ def __init__(
         self.e_tag = e_tag
         self.encryption_key = encryption_key
 
-    def _to_generated(self):
+    def _to_generated(self) -> _SearchIndexerSkillset:
         generated_skills = []
         for skill in self.skills:
             if hasattr(skill, "_to_generated"):
@@ -108,7 +108,7 @@ def _to_generated(self):
         assert len(generated_skills) == len(self.skills)
         encryption_key = getattr(self, "encryption_key", None)
         return _SearchIndexerSkillset(
-            name=getattr(self, "name", None),
+            name=getattr(self, "name", ""),
             description=getattr(self, "description", None),
             skills=generated_skills,
             cognitive_services_account=getattr(self, "cognitive_services_account", None),
@@ -1153,7 +1153,7 @@ def _from_generated(cls, search_indexer_data_source) -> Optional[Self]:
         if not search_indexer_data_source:
             return None
         connection_string = (
-            search_indexer_data_source.credentials.connection_string if search_indexer_data_source.credentials else None
+            search_indexer_data_source.credentials.connection_string if search_indexer_data_source.credentials else ""
         )
         return cls(
             name=search_indexer_data_source.name,