[AutoPR azure-ai-textanalytics]-generated-from-SDK Generation - Python-6407977

sdk/cognitivelanguage/azure-ai-textanalytics/CHANGELOG.md

@@ -1,5 +1,9 @@
 # Release History
 
+## 6.0.0b3 (2026-06-08)
+
+skip changelog generation for data-plane package and please add changelog manually.
+
 ## 6.0.0b2 (2025-11-06)
 
 This version of the client library defaults to the service API version `2025-11-15-preview`.

sdk/cognitivelanguage/azure-ai-textanalytics/_metadata.json

@@ -1,3 +1,10 @@
 {
-  "apiVersion": "2025-11-15-preview"
+  "apiVersion": "2026-05-15-preview",
+  "apiVersions": {
+    "Language.Text": "2026-05-15-preview"
+  },
+  "commit": "04869e1f580276ee3e7e51b74dd7e23df50902b8",
+  "repository_url": "https://github.com/Azure/azure-rest-api-specs",
+  "typespec_src": "specification/cognitiveservices/data-plane/LanguageAnalyzeText",
+  "emitterVersion": "0.63.0"
 }

sdk/cognitivelanguage/azure-ai-textanalytics/apiview-properties.json

@@ -200,5 +200,6 @@
         "azure.ai.textanalytics.aio.TextAnalysisClient.begin_analyze_text_job": "Language.Text.analyzeTextSubmitJob",
         "azure.ai.textanalytics.TextAnalysisClient.begin_cancel_job": "Language.Text.analyzeTextCancelJob",
         "azure.ai.textanalytics.aio.TextAnalysisClient.begin_cancel_job": "Language.Text.analyzeTextCancelJob"
-    }
+    },
+    "CrossLanguageVersion": "16251edc0967"
 }

sdk/cognitivelanguage/azure-ai-textanalytics/azure/ai/textanalytics/_client.py

@@ -8,8 +8,8 @@
 # --------------------------------------------------------------------------
 
 from copy import deepcopy
+import sys
 from typing import Any, TYPE_CHECKING, Union
-from typing_extensions import Self
 
 from azure.core import PipelineClient
 from azure.core.credentials import AzureKeyCredential
@@ -20,6 +20,11 @@
 from ._operations import _TextAnalysisClientOperationsMixin
 from ._utils.serialization import Deserializer, Serializer
 
+if sys.version_info >= (3, 11):
+    from typing import Self
+else:
+    from typing_extensions import Self  # type: ignore
+
 if TYPE_CHECKING:
     from azure.core.credentials import TokenCredential
 
@@ -39,8 +44,9 @@ class TextAnalysisClient(_TextAnalysisClientOperationsMixin):
      credential type or a token credential type. Required.
     :type credential: ~azure.core.credentials.AzureKeyCredential or
      ~azure.core.credentials.TokenCredential
-    :keyword api_version: The API version to use for this operation. Default value is
-     "2025-11-15-preview". Note that overriding this default value may result in unsupported
+    :keyword api_version: The API version to use for this operation. Known values are
+     "2026-05-15-preview" and None. Default value is None. If not set, the operation's default API
+     version will be used. Note that overriding this default value may result in unsupported
      behavior.
     :paramtype api_version: str
     :keyword int polling_interval: Default waiting time between two polls for LRO operations if no

sdk/cognitivelanguage/azure-ai-textanalytics/azure/ai/textanalytics/_configuration.py

@@ -30,14 +30,15 @@ class TextAnalysisClientConfiguration:  # pylint: disable=too-many-instance-attr
      credential type or a token credential type. Required.
     :type credential: ~azure.core.credentials.AzureKeyCredential or
      ~azure.core.credentials.TokenCredential
-    :keyword api_version: The API version to use for this operation. Default value is
-     "2025-11-15-preview". Note that overriding this default value may result in unsupported
+    :keyword api_version: The API version to use for this operation. Known values are
+     "2026-05-15-preview" and None. Default value is None. If not set, the operation's default API
+     version will be used. Note that overriding this default value may result in unsupported
      behavior.
     :paramtype api_version: str
     """
 
     def __init__(self, endpoint: str, credential: Union[AzureKeyCredential, "TokenCredential"], **kwargs: Any) -> None:
-        api_version: str = kwargs.pop("api_version", "2025-11-15-preview")
+        api_version: str = kwargs.pop("api_version", "2026-05-15-preview")
 
         if endpoint is None:
             raise ValueError("Parameter 'endpoint' must not be None.")

sdk/cognitivelanguage/azure-ai-textanalytics/azure/ai/textanalytics/_operations/_operations.py

@@ -48,7 +48,7 @@ def build_text_analysis_analyze_text_request(*, show_stats: Optional[bool] = Non
     _params = case_insensitive_dict(kwargs.pop("params", {}) or {})
 
     content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
-    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-11-15-preview"))
+    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2026-05-15-preview"))
     accept = _headers.pop("Accept", "application/json")
 
     # Construct URL
@@ -78,7 +78,7 @@ def build_text_analysis_get_job_status_request(  # pylint: disable=name-too-long
     _headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
     _params = case_insensitive_dict(kwargs.pop("params", {}) or {})
 
-    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-11-15-preview"))
+    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2026-05-15-preview"))
     accept = _headers.pop("Accept", "application/json")
 
     # Construct URL
@@ -109,7 +109,7 @@ def build_text_analysis_analyze_text_job_request(**kwargs: Any) -> HttpRequest:
     _params = case_insensitive_dict(kwargs.pop("params", {}) or {})
 
     content_type: Optional[str] = kwargs.pop("content_type", _headers.pop("Content-Type", None))
-    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-11-15-preview"))
+    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2026-05-15-preview"))
     # Construct URL
     _url = "/analyze-text/jobs"
 
@@ -126,7 +126,7 @@ def build_text_analysis_analyze_text_job_request(**kwargs: Any) -> HttpRequest:
 def build_text_analysis_cancel_job_request(job_id: str, **kwargs: Any) -> HttpRequest:
     _params = case_insensitive_dict(kwargs.pop("params", {}) or {})
 
-    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2025-11-15-preview"))
+    api_version: str = kwargs.pop("api_version", _params.pop("api-version", "2026-05-15-preview"))
     # Construct URL
     _url = "/analyze-text/jobs/{jobId}:cancel"
     path_format_arguments = {
@@ -266,6 +266,7 @@ def analyze_text(
         }
         _request.url = self._client.format_url(_request.url, **path_format_arguments)
 
+        _decompress = kwargs.pop("decompress", True)
         _stream = kwargs.pop("stream", False)
         pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
             _request, stream=_stream, **kwargs
@@ -287,7 +288,7 @@ def analyze_text(
             raise HttpResponseError(response=response, model=error)
 
         if _stream:
-            deserialized = response.iter_bytes()
+            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
         else:
             deserialized = _deserialize(_models.AnalyzeTextResult, response.json())
 
@@ -354,6 +355,7 @@ def get_job_status(
         }
         _request.url = self._client.format_url(_request.url, **path_format_arguments)
 
+        _decompress = kwargs.pop("decompress", True)
         _stream = kwargs.pop("stream", False)
         pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
             _request, stream=_stream, **kwargs
@@ -375,7 +377,7 @@ def get_job_status(
             raise HttpResponseError(response=response, model=error)
 
         if _stream:
-            deserialized = response.iter_bytes()
+            deserialized = response.iter_bytes() if _decompress else response.iter_raw()
         else:
             deserialized = _deserialize(_models.AnalyzeTextOperationState, response.json())
 
@@ -441,6 +443,7 @@ def _analyze_text_job_initial(
         }
         _request.url = self._client.format_url(_request.url, **path_format_arguments)
 
+        _decompress = kwargs.pop("decompress", True)
         _stream = True
         pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
             _request, stream=_stream, **kwargs
@@ -463,7 +466,7 @@ def _analyze_text_job_initial(
         response_headers = {}
         response_headers["Operation-Location"] = self._deserialize("str", response.headers.get("Operation-Location"))
 
-        deserialized = response.iter_bytes()
+        deserialized = response.iter_bytes() if _decompress else response.iter_raw()
 
         if cls:
             return cls(pipeline_response, deserialized, response_headers)  # type: ignore
@@ -647,6 +650,7 @@ def _cancel_job_initial(self, job_id: str, **kwargs: Any) -> Iterator[bytes]:
         }
         _request.url = self._client.format_url(_request.url, **path_format_arguments)
 
+        _decompress = kwargs.pop("decompress", True)
         _stream = True
         pipeline_response: PipelineResponse = self._client._pipeline.run(  # pylint: disable=protected-access
             _request, stream=_stream, **kwargs
@@ -669,7 +673,7 @@ def _cancel_job_initial(self, job_id: str, **kwargs: Any) -> Iterator[bytes]:
         response_headers = {}
         response_headers["Operation-Location"] = self._deserialize("str", response.headers.get("Operation-Location"))
 
-        deserialized = response.iter_bytes()
+        deserialized = response.iter_bytes() if _decompress else response.iter_raw()
 
         if cls:
             return cls(pipeline_response, deserialized, response_headers)  # type: ignore