Minor Image Analysis SDK update for beta.2 release

sdk/vision/azure-ai-vision-imageanalysis/CHANGELOG.md

@@ -1,14 +1,10 @@
 # Release History
 
-## 1.0.0b2 (Unreleased)
-
-### Features Added
+## 1.0.0b2 (2024-02-09)
 
 ### Breaking Changes
 
-### Bugs Fixed
-
-### Other Changes
+- In the previous version, you would call the `analyze` method on the `ImageAnalysisClient` to analyze an image from a publicly accessible URL, or from a memory buffer. To better align with other Azure client libraires, this was changed in this release. Call the new dedicated `analyze_from_url` method to analyze an image from URL. Keep calling the `analyze` method to analyze an image from a memory buffer.
 
 ## 1.0.0b1 (2024-01-09)
 

sdk/vision/azure-ai-vision-imageanalysis/README.md

@@ -168,7 +168,7 @@ This example is similar to the above, expect it calls the `analyze` method and p
 
 ```python
 # Get a caption for the image. This will be a synchronously (blocking) call.
-result = client.analyze(
+result = client.analyze_from_url(
     image_url="https://aka.ms/azsdk/image-analysis/sample.jpg",
     visual_features=[VisualFeatures.CAPTION],
     gender_neutral_caption=True,  # Optional (default is False)
@@ -224,7 +224,7 @@ This example is similar to the above, expect it calls the `analyze` method and p
 
 ```python
 # Extract text (OCR) from an image stream. This will be a synchronously (blocking) call.
-result = client.analyze(
+result = client.analyze_from_url(
     image_url="https://aka.ms/azsdk/image-analysis/sample.jpg",
     visual_features=[VisualFeatures.READ]
 )

sdk/vision/azure-ai-vision-imageanalysis/azure/ai/vision/imageanalysis/_model_base.py

@@ -16,7 +16,7 @@
 import re
 import copy
 import typing
-import email
+import email.utils
 from datetime import datetime, date, time, timedelta, timezone
 from json import JSONEncoder
 import isodate
@@ -462,7 +462,13 @@ def _get_rest_field(
 
 
 def _create_value(rf: typing.Optional["_RestField"], value: typing.Any) -> typing.Any:
-    return _deserialize(rf._type, value) if (rf and rf._is_model) else _serialize(value, rf._format if rf else None)
+    if not rf:
+        return _serialize(value, None)
+    if rf._is_multipart_file_input:
+        return value
+    if rf._is_model:
+        return _deserialize(rf._type, value)
+    return _serialize(value, rf._format)
 
 
 class Model(_MyMutableMapping):
@@ -559,15 +565,22 @@ def as_dict(self, *, exclude_readonly: bool = False) -> typing.Dict[str, typing.
         for k, v in self.items():
             if exclude_readonly and k in readonly_props:  # pyright: ignore[reportUnboundVariable]
                 continue
-            result[k] = Model._as_dict_value(v, exclude_readonly=exclude_readonly)
+            is_multipart_file_input = False
+            try:
+                is_multipart_file_input = next(
+                    rf for rf in self._attr_to_rest_field.values() if rf._rest_name == k
+                )._is_multipart_file_input
+            except StopIteration:
+                pass
+            result[k] = v if is_multipart_file_input else Model._as_dict_value(v, exclude_readonly=exclude_readonly)
         return result
 
     @staticmethod
     def _as_dict_value(v: typing.Any, exclude_readonly: bool = False) -> typing.Any:
         if v is None or isinstance(v, _Null):
             return None
         if isinstance(v, (list, tuple, set)):
-            return [Model._as_dict_value(x, exclude_readonly=exclude_readonly) for x in v]
+            return type(v)(Model._as_dict_value(x, exclude_readonly=exclude_readonly) for x in v)
         if isinstance(v, dict):
             return {dk: Model._as_dict_value(dv, exclude_readonly=exclude_readonly) for dk, dv in v.items()}
         return v.as_dict(exclude_readonly=exclude_readonly) if hasattr(v, "as_dict") else v
@@ -762,6 +775,7 @@ def __init__(
         visibility: typing.Optional[typing.List[str]] = None,
         default: typing.Any = _UNSET,
         format: typing.Optional[str] = None,
+        is_multipart_file_input: bool = False,
     ):
         self._type = type
         self._rest_name_input = name
@@ -771,6 +785,7 @@ def __init__(
         self._is_model = False
         self._default = default
         self._format = format
+        self._is_multipart_file_input = is_multipart_file_input
 
     @property
     def _rest_name(self) -> str:
@@ -816,8 +831,16 @@ def rest_field(
     visibility: typing.Optional[typing.List[str]] = None,
     default: typing.Any = _UNSET,
     format: typing.Optional[str] = None,
+    is_multipart_file_input: bool = False,
 ) -> typing.Any:
-    return _RestField(name=name, type=type, visibility=visibility, default=default, format=format)
+    return _RestField(
+        name=name,
+        type=type,
+        visibility=visibility,
+        default=default,
+        format=format,
+        is_multipart_file_input=is_multipart_file_input,
+    )
 
 
 def rest_discriminator(

sdk/vision/azure-ai-vision-imageanalysis/azure/ai/vision/imageanalysis/_operations/_operations.py

@@ -170,9 +170,6 @@ def _analyze_from_image_data(
          If however you would like to make sure analysis results do not change over time, set this
          value to a specific model version. Default value is None.
         :paramtype model_version: str
-        :keyword content_type: The format of the HTTP payload. Default value is
-         "application/octet-stream".
-        :paramtype content_type: str
         :return: ImageAnalysisResult. The ImageAnalysisResult is compatible with MutableMapping
         :rtype: ~azure.ai.vision.imageanalysis.models.ImageAnalysisResult
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -488,8 +485,6 @@ def _analyze_from_url(
          If however you would like to make sure analysis results do not change over time, set this
          value to a specific model version. Default value is None.
         :paramtype model_version: str
-        :keyword content_type: The format of the HTTP payload. Default value is None.
-        :paramtype content_type: str
         :return: ImageAnalysisResult. The ImageAnalysisResult is compatible with MutableMapping
         :rtype: ~azure.ai.vision.imageanalysis.models.ImageAnalysisResult
         :raises ~azure.core.exceptions.HttpResponseError:

sdk/vision/azure-ai-vision-imageanalysis/azure/ai/vision/imageanalysis/_patch.py

@@ -6,16 +6,8 @@
 
 Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize
 
-Note 1: the analyze overloads here should have been implemented in the `_patch.py` file in the `_operations` folder
-instead of here. That would have worked fine, except there is an issue with the generated Python
-ref-docs. The overloads do not show up. See this GitHub issue: https://github.com/Azure/autorest.python/issues/1315.
-To overcome this, the overloads are defined here. Consider moving them to the right place once the
-above issue is fixed.
-
-Note 2: Don't bother documenting the two overload methods below. The doc tool (sphinx) will not pick them up. Instead,
-document the 3rd method.
 """
-from typing import List, overload, Any, Optional, Union
+from typing import List, Any, Optional, Union
 from azure.core.tracing.decorator import distributed_trace
 from . import models as _models
 from ._operations._operations import ImageAnalysisClientOperationsMixin
@@ -35,41 +27,73 @@ class ImageAnalysisClient(ImageAnalysisClientGenerated):
     :paramtype api_version: str
     """
 
-    @overload
-    def analyze(
+    @distributed_trace
+    def analyze_from_url(
         self,
-        *,
         image_url: str,
         visual_features: List[_models.VisualFeatures],
-        language: Optional[str] = None,
-        gender_neutral_caption: Optional[bool] = None,
-        smart_crops_aspect_ratios: Optional[List[float]] = None,
-        model_version: Optional[str] = None,
-        **kwargs: Any
-    ) -> _models.ImageAnalysisResult:
-        ...
-
-    @overload
-    def analyze(
-        self,
         *,
-        image_data: bytes,
-        visual_features: List[_models.VisualFeatures],
         language: Optional[str] = None,
         gender_neutral_caption: Optional[bool] = None,
         smart_crops_aspect_ratios: Optional[List[float]] = None,
         model_version: Optional[str] = None,
         **kwargs: Any
     ) -> _models.ImageAnalysisResult:
-        ...
+        """Performs a single Image Analysis operation.
+
+        :param image_url: The publicly accessible URL of the image to analyze.
+        :type image_url: str
+        :param visual_features: A list of visual features to analyze. Required. Seven visual features
+         are supported: Caption, DenseCaptions, Read (OCR), Tags, Objects, SmartCrops, and People. At
+         least one visual feature must be specified.
+        :type visual_features: list[~azure.ai.vision.imageanalysis.models.VisualFeatures]
+        :keyword language: The desired language for result generation (a two-letter language code).
+         Defaults to 'en' (English). See https://aka.ms/cv-languages for a list of supported languages.
+        :paramtype language: str
+        :keyword gender_neutral_caption: Boolean flag for enabling gender-neutral captioning for
+         Caption and Dense Captions features. Defaults to 'false'.
+         Captions may contain gender terms (for example: 'man', 'woman', or 'boy', 'girl').
+         If you set this to 'true', those will be replaced with gender-neutral terms (for example:
+         'person' or 'child').
+        :paramtype gender_neutral_caption: bool
+        :keyword smart_crops_aspect_ratios: A list of aspect ratios to use for smart cropping.
+         Defaults to one crop region with an aspect ratio the service sees fit between
+         0.5 and 2.0 (inclusive). Aspect ratios are calculated by dividing the target crop
+         width in pixels by the height in pixels. When set, supported values are
+         between 0.75 and 1.8 (inclusive).
+        :paramtype smart_crops_aspect_ratios: list[float]
+        :keyword model_version: The version of cloud AI-model used for analysis. Defaults to 'latest',
+         for the latest AI model with recent improvements.
+         The format is the following: 'latest' or 'YYYY-MM-DD' or 'YYYY-MM-DD-preview',
+         where 'YYYY', 'MM', 'DD' are the year, month and day associated with the model.
+         If you would like to make sure analysis results do not change over time, set this
+         value to a specific model version.
+        :paramtype model_version: str
+        :return: ImageAnalysisResult. The ImageAnalysisResult is compatible with MutableMapping
+        :rtype: ~azure.ai.vision.imageanalysis.models.ImageAnalysisResult
+        :raises: ~azure.core.exceptions.HttpResponseError
+        """
+
+        visual_features_impl: List[Union[str, _models.VisualFeatures]] = list(visual_features)
+
+        return ImageAnalysisClientOperationsMixin._analyze_from_url(  # pylint: disable=protected-access
+            self,
+            image_content=_models._models.ImageUrl(url=image_url),  # pylint: disable=protected-access
+            visual_features=visual_features_impl,
+            language=language,
+            gender_neutral_caption=gender_neutral_caption,
+            smart_crops_aspect_ratios=smart_crops_aspect_ratios,
+            model_version=model_version,
+            **kwargs
+        )
+
 
     @distributed_trace
     def analyze(
         self,
-        *,
+        image_data: bytes,
         visual_features: List[_models.VisualFeatures],
-        image_data: Optional[bytes] = None,
-        image_url: Optional[str] = None,
+        *,
         language: Optional[str] = None,
         gender_neutral_caption: Optional[bool] = None,
         smart_crops_aspect_ratios: Optional[List[float]] = None,
@@ -78,14 +102,12 @@ def analyze(
     ) -> _models.ImageAnalysisResult:
         """Performs a single Image Analysis operation.
 
-        :keyword image_url: The publicly accessible URL of the image to analyze.
-        :paramtype image_url: str
-        :keyword image_data: A buffer containing the whole image to be analyzed.
-        :paramtype image_data: bytes
-        :keyword visual_features: A list of visual features to analyze. Required. Seven visual features
+        :param image_data: A buffer containing the whole image to be analyzed.
+        :type image_data: bytes
+        :param visual_features: A list of visual features to analyze. Required. Seven visual features
          are supported: Caption, DenseCaptions, Read (OCR), Tags, Objects, SmartCrops, and People. At
          least one visual feature must be specified.
-        :paramtype visual_features: list[~azure.ai.vision.imageanalysis.models.VisualFeatures]
+        :type visual_features: list[~azure.ai.vision.imageanalysis.models.VisualFeatures]
         :keyword language: The desired language for result generation (a two-letter language code).
          Defaults to 'en' (English). See https://aka.ms/cv-languages for a list of supported languages.
         :paramtype language: str
@@ -115,31 +137,16 @@ def analyze(
 
         visual_features_impl: List[Union[str, _models.VisualFeatures]] = list(visual_features)
 
-        if image_url is not None:
-            return ImageAnalysisClientOperationsMixin._analyze_from_url(  # pylint: disable=protected-access
-                self,
-                image_content=_models._models.ImageUrl(url=image_url),  # pylint: disable=protected-access
-                visual_features=visual_features_impl,
-                language=language,
-                gender_neutral_caption=gender_neutral_caption,
-                smart_crops_aspect_ratios=smart_crops_aspect_ratios,
-                model_version=model_version,
-                **kwargs
-            )
-
-        if image_data is not None:
-            return ImageAnalysisClientOperationsMixin._analyze_from_image_data(  # pylint: disable=protected-access
-                self,
-                image_content=image_data,
-                visual_features=visual_features_impl,
-                language=language,
-                gender_neutral_caption=gender_neutral_caption,
-                smart_crops_aspect_ratios=smart_crops_aspect_ratios,
-                model_version=model_version,
-                **kwargs
-            )
-
-        raise ValueError("Either image_data or image_url must be specified.")
+        return ImageAnalysisClientOperationsMixin._analyze_from_image_data(  # pylint: disable=protected-access
+            self,
+            image_content=image_data,
+            visual_features=visual_features_impl,
+            language=language,
+            gender_neutral_caption=gender_neutral_caption,
+            smart_crops_aspect_ratios=smart_crops_aspect_ratios,
+            model_version=model_version,
+            **kwargs
+        )
 
 
 __all__: List[str] = [

sdk/vision/azure-ai-vision-imageanalysis/azure/ai/vision/imageanalysis/aio/_operations/_operations.py

@@ -89,9 +89,6 @@ async def _analyze_from_image_data(
          If however you would like to make sure analysis results do not change over time, set this
          value to a specific model version. Default value is None.
         :paramtype model_version: str
-        :keyword content_type: The format of the HTTP payload. Default value is
-         "application/octet-stream".
-        :paramtype content_type: str
         :return: ImageAnalysisResult. The ImageAnalysisResult is compatible with MutableMapping
         :rtype: ~azure.ai.vision.imageanalysis.models.ImageAnalysisResult
         :raises ~azure.core.exceptions.HttpResponseError:
@@ -407,8 +404,6 @@ async def _analyze_from_url(
          If however you would like to make sure analysis results do not change over time, set this
          value to a specific model version. Default value is None.
         :paramtype model_version: str
-        :keyword content_type: The format of the HTTP payload. Default value is None.
-        :paramtype content_type: str
         :return: ImageAnalysisResult. The ImageAnalysisResult is compatible with MutableMapping
         :rtype: ~azure.ai.vision.imageanalysis.models.ImageAnalysisResult
         :raises ~azure.core.exceptions.HttpResponseError: