CodeGen from PR 34270 in Azure/azure-rest-api-specs

Merge 6d6de338301c13fb6000c2fe4f6f9af98ff5cfa4 into ba0c086df0ebe03a61579485c1c10de0d17804b2

Author: SDKAuto

sdk/documentintelligence/azure-ai-documentintelligence/MANIFEST.in

@@ -4,4 +4,4 @@ include azure/ai/documentintelligence/py.typed
 recursive-include tests *.py
 recursive-include samples *.py *.md
 include azure/__init__.py
-include azure/ai/__init__.py
+include azure/ai/__init__.py

sdk/documentintelligence/azure-ai-documentintelligence/_meta.json

@@ -0,0 +1,6 @@
+{
+  "commit": "091d73844b3093dd62f54ba105f6e2b4cfa7e6ce",
+  "repository_url": "https://github.com/Azure/azure-rest-api-specs",
+  "typespec_src": "specification/ai/DocumentIntelligence",
+  "@azure-tools/typespec-python": "0.44.2"
+}

sdk/documentintelligence/azure-ai-documentintelligence/apiview-properties.json

@@ -23,7 +23,7 @@
     DocumentIntelligenceAdministrationClientOperationsMixin,
     DocumentIntelligenceClientOperationsMixin,
 )
-from ._serialization import Deserializer, Serializer
+from ._utils.serialization import Deserializer, Serializer
 
 if TYPE_CHECKING:
     from azure.core.credentials import TokenCredential
@@ -34,8 +34,8 @@ class DocumentIntelligenceClient(DocumentIntelligenceClientOperationsMixin):
 
     :param endpoint: The Document Intelligence service endpoint. Required.
     :type endpoint: str
-    :param credential: Credential used to authenticate requests to the service. Is either a
-     AzureKeyCredential type or a TokenCredential type. Required.
+    :param credential: Credential used to authenticate requests to the service. Is either a key
+     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 "2024-11-30".
@@ -48,6 +48,7 @@ class DocumentIntelligenceClient(DocumentIntelligenceClientOperationsMixin):
     def __init__(self, endpoint: str, credential: Union[AzureKeyCredential, "TokenCredential"], **kwargs: Any) -> None:
         _endpoint = "{endpoint}/documentintelligence"
         self._config = DocumentIntelligenceClientConfiguration(endpoint=endpoint, credential=credential, **kwargs)
+
         _policies = kwargs.pop("policies", None)
         if _policies is None:
             _policies = [
@@ -113,8 +114,8 @@ class DocumentIntelligenceAdministrationClient(DocumentIntelligenceAdministratio
 
     :param endpoint: The Document Intelligence service endpoint. Required.
     :type endpoint: str
-    :param credential: Credential used to authenticate requests to the service. Is either a
-     AzureKeyCredential type or a TokenCredential type. Required.
+    :param credential: Credential used to authenticate requests to the service. Is either a key
+     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 "2024-11-30".
@@ -129,6 +130,7 @@ def __init__(self, endpoint: str, credential: Union[AzureKeyCredential, "TokenCr
         self._config = DocumentIntelligenceAdministrationClientConfiguration(
             endpoint=endpoint, credential=credential, **kwargs
         )
+
         _policies = kwargs.pop("policies", None)
         if _policies is None:
             _policies = [

sdk/documentintelligence/azure-ai-documentintelligence/azure/ai/documentintelligence/_client.py

@@ -1,3 +1,4 @@
+# pylint: disable=line-too-long,useless-suppression
 # coding=utf-8
 # --------------------------------------------------------------------------
 # Copyright (c) Microsoft Corporation. All rights reserved.
@@ -25,8 +26,8 @@ class DocumentIntelligenceClientConfiguration:  # pylint: disable=too-many-insta
 
     :param endpoint: The Document Intelligence service endpoint. Required.
     :type endpoint: str
-    :param credential: Credential used to authenticate requests to the service. Is either a
-     AzureKeyCredential type or a TokenCredential type. Required.
+    :param credential: Credential used to authenticate requests to the service. Is either a key
+     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 "2024-11-30".
@@ -79,8 +80,8 @@ class DocumentIntelligenceAdministrationClientConfiguration:  # pylint: disable=
 
     :param endpoint: The Document Intelligence service endpoint. Required.
     :type endpoint: str
-    :param credential: Credential used to authenticate requests to the service. Is either a
-     AzureKeyCredential type or a TokenCredential type. Required.
+    :param credential: Credential used to authenticate requests to the service. Is either a key
+     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 "2024-11-30".

sdk/documentintelligence/azure-ai-documentintelligence/azure/ai/documentintelligence/_configuration.py

@@ -6,12 +6,13 @@
 # Code generated by Microsoft (R) Python Code Generator.
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
+from collections.abc import MutableMapping
 from io import IOBase
 import json
-import sys
 from typing import Any, Callable, Dict, IO, Iterable, Iterator, List, Optional, TypeVar, Union, cast, overload
 import urllib.parse
 
+from azure.core import PipelineClient
 from azure.core.exceptions import (
     ClientAuthenticationError,
     HttpResponseError,
@@ -31,15 +32,15 @@
 from azure.core.utils import case_insensitive_dict
 
 from .. import models as _models
-from .._model_base import SdkJSONEncoder, _deserialize, _failsafe_deserialize
-from .._serialization import Serializer
-from .._vendor import DocumentIntelligenceAdministrationClientMixinABC, DocumentIntelligenceClientMixinABC
-
-if sys.version_info >= (3, 9):
-    from collections.abc import MutableMapping
-else:
-    from typing import MutableMapping  # type: ignore
-JSON = MutableMapping[str, Any]  # pylint: disable=unsubscriptable-object
+from .._configuration import (
+    DocumentIntelligenceAdministrationClientConfiguration,
+    DocumentIntelligenceClientConfiguration,
+)
+from .._utils.model_base import SdkJSONEncoder, _deserialize, _failsafe_deserialize
+from .._utils.serialization import Serializer
+from .._utils.utils import ClientMixinABC
+
+JSON = MutableMapping[str, Any]
 T = TypeVar("T")
 ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
 
@@ -745,7 +746,9 @@ def build_document_intelligence_administration_delete_classifier_request(  # pyl
     return HttpRequest(method="DELETE", url=_url, params=_params, headers=_headers, **kwargs)
 
 
-class DocumentIntelligenceClientOperationsMixin(DocumentIntelligenceClientMixinABC):  # pylint: disable=name-too-long
+class DocumentIntelligenceClientOperationsMixin(  # pylint: disable=name-too-long
+    ClientMixinABC[PipelineClient[HttpRequest, HttpResponse], DocumentIntelligenceClientConfiguration]
+):
 
     def _analyze_document_initial(
         self,
@@ -1069,7 +1072,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.AnalyzeResult, response.json().get("analyzeResult"))
+            deserialized = _deserialize(_models.AnalyzeResult, response.json().get("analyzeResult", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -1607,7 +1610,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.AnalyzeBatchResult, response.json().get("result"))
+            deserialized = _deserialize(_models.AnalyzeBatchResult, response.json().get("result", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -1699,7 +1702,7 @@ def prepare_request(next_link=None):
 
         def extract_data(pipeline_response):
             deserialized = pipeline_response.http_response.json()
-            list_of_elem = _deserialize(List[_models.AnalyzeBatchOperation], deserialized["value"])
+            list_of_elem = _deserialize(List[_models.AnalyzeBatchOperation], deserialized.get("value", []))
             if cls:
                 list_of_elem = cls(list_of_elem)  # type: ignore
             return deserialized.get("nextLink") or None, iter(list_of_elem)
@@ -2082,7 +2085,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.AnalyzeResult, response.json().get("analyzeResult"))
+            deserialized = _deserialize(_models.AnalyzeResult, response.json().get("analyzeResult", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -2112,7 +2115,7 @@ def get_long_running_output(pipeline_response):
 
 
 class DocumentIntelligenceAdministrationClientOperationsMixin(  # pylint: disable=too-many-public-methods,name-too-long
-    DocumentIntelligenceAdministrationClientMixinABC
+    ClientMixinABC[PipelineClient[HttpRequest, HttpResponse], DocumentIntelligenceAdministrationClientConfiguration]
 ):
 
     def _build_document_model_initial(
@@ -2271,7 +2274,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.DocumentModelDetails, response.json().get("result"))
+            deserialized = _deserialize(_models.DocumentModelDetails, response.json().get("result", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -2455,7 +2458,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.DocumentModelDetails, response.json().get("result"))
+            deserialized = _deserialize(_models.DocumentModelDetails, response.json().get("result", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -2783,7 +2786,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.DocumentModelDetails, response.json().get("result"))
+            deserialized = _deserialize(_models.DocumentModelDetails, response.json().get("result", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -2938,7 +2941,7 @@ def prepare_request(next_link=None):
 
         def extract_data(pipeline_response):
             deserialized = pipeline_response.http_response.json()
-            list_of_elem = _deserialize(List[_models.DocumentModelDetails], deserialized["value"])
+            list_of_elem = _deserialize(List[_models.DocumentModelDetails], deserialized.get("value", []))
             if cls:
                 list_of_elem = cls(list_of_elem)  # type: ignore
             return deserialized.get("nextLink") or None, iter(list_of_elem)
@@ -3202,7 +3205,9 @@ def prepare_request(next_link=None):
 
         def extract_data(pipeline_response):
             deserialized = pipeline_response.http_response.json()
-            list_of_elem = _deserialize(List[_models.DocumentIntelligenceOperationDetails], deserialized["value"])
+            list_of_elem = _deserialize(
+                List[_models.DocumentIntelligenceOperationDetails], deserialized.get("value", [])
+            )
             if cls:
                 list_of_elem = cls(list_of_elem)  # type: ignore
             return deserialized.get("nextLink") or None, iter(list_of_elem)
@@ -3381,7 +3386,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.DocumentClassifierDetails, response.json().get("result"))
+            deserialized = _deserialize(_models.DocumentClassifierDetails, response.json().get("result", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -3715,7 +3720,7 @@ def get_long_running_output(pipeline_response):
                 "str", response.headers.get("Operation-Location")
             )
 
-            deserialized = _deserialize(_models.DocumentClassifierDetails, response.json().get("result"))
+            deserialized = _deserialize(_models.DocumentClassifierDetails, response.json().get("result", {}))
             if cls:
                 return cls(pipeline_response, deserialized, response_headers)  # type: ignore
             return deserialized
@@ -3871,7 +3876,7 @@ def prepare_request(next_link=None):
 
         def extract_data(pipeline_response):
             deserialized = pipeline_response.http_response.json()
-            list_of_elem = _deserialize(List[_models.DocumentClassifierDetails], deserialized["value"])
+            list_of_elem = _deserialize(List[_models.DocumentClassifierDetails], deserialized.get("value", []))
             if cls:
                 list_of_elem = cls(list_of_elem)  # type: ignore
             return deserialized.get("nextLink") or None, iter(list_of_elem)