[Search] Add reset_documents and reset_skills operations

sdk/search/azure-search-documents/CHANGELOG.md

@@ -8,6 +8,8 @@
 - Added properties to `SearchIndexerDataSourceConnection`: `identity`, `encryption_key`.
 - Added `select` property to the following `SearchIndexClient` operations: `get_synonym_maps`, `list_indexes`.
 - Added `select` property to the following `SearchIndexersClient` operations: `get_data_source_connections`, `get_indexers`, `get_skillsets`.
+- Added operations to `SearchIndexerClient`: `reset_skills`, `reset_documents`.
+- Added model: `DocumentKeysOrIds`
 
 ### Other Changes
 

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

@@ -27,7 +27,7 @@
 
 if TYPE_CHECKING:
     # pylint:disable=unused-import,ungrouped-imports
-    from ._generated.models import SearchIndexer, SearchIndexerStatus
+    from ._generated.models import SearchIndexer, SearchIndexerStatus, DocumentKeysOrIds
     from typing import Any, Optional, Sequence, Union
     from azure.core.credentials import TokenCredential
 
@@ -285,6 +285,30 @@ def reset_indexer(self, name, **kwargs):
         kwargs["headers"] = self._merge_client_headers(kwargs.get("headers"))
         self._client.indexers.reset(name, **kwargs)
 
+    @distributed_trace
+    def reset_documents(self, indexer, keys_or_ids, **kwargs):
+        # type: (Union[str, SearchIndexer], DocumentKeysOrIds, **Any) -> None
+        """Resets specific documents in the datasource to be selectively re-ingested by the indexer.
+
+        :param indexer: The indexer to reset documents for.
+        :type indexer: str or ~azure.search.documents.indexes.models.SearchIndexer
+        :param keys_or_ids:
+        :type keys_or_ids: ~azure.search.documents.indexes.models.DocumentKeysOrIds
+        :return: None, or the result of cls(response)
+        :keyword overwrite: If false, keys or ids will be appended to existing ones. If true, only the
+         keys or ids in this payload will be queued to be re-ingested. The default is false.
+        :paramtype overwrite: bool
+        :rtype: None
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        kwargs["headers"] = self._merge_client_headers(kwargs.get("headers"))
+        kwargs["keys_or_ids"] = keys_or_ids
+        try:
+            name = indexer.name
+        except AttributeError:
+            name = indexer
+        return self._client.indexers.reset_docs(name, **kwargs)
+
     @distributed_trace
     def get_indexer_status(self, name, **kwargs):
         # type: (str, **Any) -> SearchIndexerStatus
@@ -547,8 +571,8 @@ def delete_skillset(self, skillset, **kwargs):
         the SearchIndexerSkillset model must be provided instead of the name. It is enough to provide
         the name of the skillset to delete unconditionally
 
-        :param name: The SearchIndexerSkillset to delete
-        :type name: str or ~azure.search.documents.indexes.models.SearchIndexerSkillset
+        :param skillset: The SearchIndexerSkillset to delete
+        :type skillset: str or ~azure.search.documents.indexes.models.SearchIndexerSkillset
         :keyword match_condition: The match condition to use upon the etag
         :type match_condition: ~azure.core.MatchConditions
 
@@ -635,6 +659,26 @@ def create_or_update_skillset(self, skillset, **kwargs):
         )
         return SearchIndexerSkillset._from_generated(result) # pylint:disable=protected-access
 
+    @distributed_trace
+    def reset_skills(self, skillset, skill_names, **kwargs):
+        # type: (Union[str, SearchIndexerSkillset], List[str], **Any) -> None
+        """Reset an existing skillset in a search service.
+
+        :param skillset: The SearchIndexerSkillset to reset
+        :type skillset: str or ~azure.search.documents.indexes.models.SearchIndexerSkillset
+        :param skill_names: the names of skills to be reset.
+        :type skill_names: list[str]
+        :return: None, or the result of cls(response)
+        :rtype: None
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        kwargs["headers"] = self._merge_client_headers(kwargs.get("headers"))
+        try:
+            name = skillset.name
+        except AttributeError:
+            name = skillset
+        return self._client.skillsets.reset_skills(name, skill_names, **kwargs)
+
 def _validate_skillset(skillset):
     """Validates any multi-version skills in the skillset to verify that unsupported
     parameters are not supplied by the user.

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

@@ -25,7 +25,7 @@
 
 if TYPE_CHECKING:
     # pylint:disable=unused-import,ungrouped-imports
-    from .._generated.models import SearchIndexer, SearchIndexerStatus
+    from .._generated.models import SearchIndexer, SearchIndexerStatus, DocumentKeysOrIds
     from typing import Any, Optional, Sequence
     from azure.core.credentials_async import AsyncTokenCredential
 
@@ -278,6 +278,31 @@ async def reset_indexer(self, name, **kwargs):
         kwargs["headers"] = self._merge_client_headers(kwargs.get("headers"))
         await self._client.indexers.reset(name, **kwargs)
 
+    @distributed_trace_async
+    async def reset_documents(self, indexer, keys_or_ids, **kwargs):
+        # type: (Union[str, SearchIndexer], DocumentKeysOrIds, **Any) -> None
+        """Resets specific documents in the datasource to be selectively re-ingested by the indexer.
+
+        :param indexer: The indexer to reset documents for.
+        :type indexer: str or ~azure.search.documents.indexes.models.SearchIndexer
+        :param keys_or_ids:
+        :type keys_or_ids: ~azure.search.documents.indexes.models.DocumentKeysOrIds
+        :return: None, or the result of cls(response)
+        :keyword overwrite: If false, keys or ids will be appended to existing ones. If true, only the
+         keys or ids in this payload will be queued to be re-ingested. The default is false.
+        :paramtype overwrite: bool
+        :rtype: None
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        kwargs["headers"] = self._merge_client_headers(kwargs.get("headers"))
+        kwargs["keys_or_ids"] = keys_or_ids
+        try:
+            name = indexer.name
+        except AttributeError:
+            name = indexer
+        result = await self._client.indexers.reset_docs(name, **kwargs)
+        return result
+
     @distributed_trace_async
     async def get_indexer_status(self, name, **kwargs):
         # type: (str, **Any) -> SearchIndexerStatus
@@ -535,8 +560,8 @@ async def delete_skillset(self, skillset, **kwargs):
         the SearchIndexerSkillset model must be provided instead of the name. It is enough to provide
         the name of the skillset to delete unconditionally
 
-        :param name: The SearchIndexerSkillset to delete
-        :type name: str or ~azure.search.documents.indexes.models.SearchIndexerSkillset
+        :param skillset: The SearchIndexerSkillset to delete
+        :type skillset: str or ~azure.search.documents.indexes.models.SearchIndexerSkillset
         :keyword match_condition: The match condition to use upon the etag
         :type match_condition: ~azure.core.MatchConditions
 
@@ -619,3 +644,24 @@ async def create_or_update_skillset(self, skillset, **kwargs):
             **kwargs
         )
         return SearchIndexerSkillset._from_generated(result) # pylint:disable=protected-access
+
+    @distributed_trace_async
+    async def reset_skills(self, skillset, skill_names, **kwargs):
+        # type: (Union[str, SearchIndexerSkillset], List[str], **Any) -> None
+        """Reset an existing skillset in a search service.
+
+        :param skillset: The SearchIndexerSkillset to reset
+        :type skillset: str or ~azure.search.documents.indexes.models.SearchIndexerSkillset
+        :param skill_names: the names of skills to be reset.
+        :type skill_names: list[str]
+        :return: None, or the result of cls(response)
+        :rtype: None
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+        kwargs["headers"] = self._merge_client_headers(kwargs.get("headers"))
+        try:
+            name = skillset.name
+        except AttributeError:
+            name = skillset
+        result = await self._client.skillsets.reset_skills(name, skill_names, **kwargs)
+        return result

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

@@ -52,6 +52,7 @@
     DistanceScoringFunction,
     DistanceScoringParameters,
     DocumentExtractionSkill,
+    DocumentKeysOrIds,
     EdgeNGramTokenFilter,
     EdgeNGramTokenizer,
     EdgeNGramTokenFilterSide,
@@ -199,6 +200,7 @@
     "DistanceScoringFunction",
     "DistanceScoringParameters",
     "DocumentExtractionSkill",
+    "DocumentKeysOrIds",
     "EdgeNGramTokenFilter",
     "EdgeNGramTokenizer",
     "ElisionTokenFilter",