[textanalytics] release prep (Azure#21522)

* update release date

* update sample descriptions

* update swagger readme

* bump azure-core

Author: kristapratico

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

@@ -1,6 +1,6 @@
 # Release History
 
-## 5.2.0b2 (Unreleased)
+## 5.2.0b2 (2021-11-02)
 
 This version of the SDK defaults to the latest supported API version, which currently is `v3.2-preview.2`.
 
@@ -10,14 +10,12 @@ This version of the SDK defaults to the latest supported API version, which curr
 - Added support for Custom Multi Classification through the `begin_analyze_actions` API with the `MultiCategoryClassifyAction` and `MultiCategoryClassifyActionResult` types.
 - Multiple of the same action type is now supported with `begin_analyze_actions`.
 
-### Breaking Changes
-
 ### Bugs Fixed
 - Restarting a long-running operation from a saved state is now supported for the `begin_analyze_actions` and `begin_recognize_healthcare_entities` methods.
 - In the event of an action level error, available partial results are now returned for any successful actions in `begin_analyze_actions`.
 
 ### Other Changes
-- Package requires [azure-core](https://pypi.org/project/azure-core/) version 1.16.0 or greater
+- Package requires [azure-core](https://pypi.org/project/azure-core/) version 1.19.1 or greater
 
 ## 5.2.0b1 (2021-08-09)
 

sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_multi_category_classify_async.py

@@ -11,10 +11,12 @@
 
 DESCRIPTION:
     This sample demonstrates how to classify documents into multiple custom categories. For example,
-    movie plot summaries can be categorized into multiple movie genres like Sci-Fi and Horror, or Comedy and Romance, etc.
-    Classifying documents is available as an action type through the begin_analyze_actions API.
+    movie plot summaries can be categorized into multiple movie genres like "Action" and "Thriller",
+    or "Comedy" and "Drama", etc. Classifying documents is available as an action type through
+    the begin_analyze_actions API.
 
-    To train a model to classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
+    For information on regional support of custom features and how to train a model to
+    classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
 
 USAGE:
     python sample_multi_category_classify_async.py

sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_custom_entities_async.py

@@ -13,7 +13,8 @@
     This sample demonstrates how to recognize custom entities in documents.
     Recognizing custom entities is available as an action type through the begin_analyze_actions API.
 
-    To train a model to recognize your custom entities, see https://aka.ms/azsdk/textanalytics/customentityrecognition
+    For information on regional support of custom features and how to train a model to
+    recognize custom entities, see https://aka.ms/azsdk/textanalytics/customentityrecognition
 
 USAGE:
     python sample_recognize_custom_entities_async.py

sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_single_category_classify_async.py

@@ -11,10 +11,12 @@
 
 DESCRIPTION:
     This sample demonstrates how to classify documents into a single custom category. For example,
-    movie plot summaries can be categorized into a single movie genre like Sci-Fi, Horror, Comedy, Romance, etc.
-    Classifying documents is available as an action type through the begin_analyze_actions API.
+    movie plot summaries can be categorized into a single movie genre like "Mystery", "Drama", "Thriller",
+    "Comedy", "Action", etc. Classifying documents is available as an action type through
+    the begin_analyze_actions API.
 
-    To train a model to classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
+    For information on regional support of custom features and how to train a model to
+    classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
 
 USAGE:
     python sample_single_category_classify_async.py

sdk/textanalytics/azure-ai-textanalytics/samples/sample_multi_category_classify.py

@@ -11,10 +11,12 @@
 
 DESCRIPTION:
     This sample demonstrates how to classify documents into multiple custom categories. For example,
-    movie plot summaries can be categorized into multiple movie genres like Sci-Fi and Horror, or Comedy and Romance, etc.
-    Classifying documents is available as an action type through the begin_analyze_actions API.
+    movie plot summaries can be categorized into multiple movie genres like "Action" and "Thriller",
+    or "Comedy" and "Drama", etc. Classifying documents is available as an action type through
+    the begin_analyze_actions API.
 
-    To train a model to classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
+    For information on regional support of custom features and how to train a model to
+    classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
 
 USAGE:
     python sample_multi_category_classify.py

sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_custom_entities.py

@@ -13,7 +13,8 @@
     This sample demonstrates how to recognize custom entities in documents.
     Recognizing custom entities is available as an action type through the begin_analyze_actions API.
 
-    To train a model to recognize your custom entities, see https://aka.ms/azsdk/textanalytics/customentityrecognition
+    For information on regional support of custom features and how to train a model to
+    recognize custom entities, see https://aka.ms/azsdk/textanalytics/customentityrecognition
 
 USAGE:
     python sample_recognize_custom_entities.py

sdk/textanalytics/azure-ai-textanalytics/samples/sample_single_category_classify.py

@@ -11,10 +11,12 @@
 
 DESCRIPTION:
     This sample demonstrates how to classify documents into a single custom category. For example,
-    movie plot summaries can be categorized into a single movie genre like Sci-Fi, Horror, Comedy, Romance, etc.
-    Classifying documents is available as an action type through the begin_analyze_actions API.
+    movie plot summaries can be categorized into a single movie genre like "Mystery", "Drama", "Thriller",
+    "Comedy", "Action", etc. Classifying documents is available as an action type through
+    the begin_analyze_actions API.
 
-    To train a model to classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
+    For information on regional support of custom features and how to train a model to
+    classify your documents, see https://aka.ms/azsdk/textanalytics/customfunctionalities
 
 USAGE:
     python sample_single_category_classify.py

sdk/textanalytics/azure-ai-textanalytics/setup.py

@@ -80,7 +80,7 @@
         'azure.ai',
     ]),
     install_requires=[
-        "azure-core<2.0.0,>=1.16.0",
+        "azure-core<2.0.0,>=1.19.1",
         "msrest>=0.6.21",
         'azure-common~=1.1',
         'six>=1.11.0',

sdk/textanalytics/azure-ai-textanalytics/swagger/README.md

@@ -46,7 +46,7 @@ perform-load: false
 These settings apply only when `--tag=release_3_0` is specified on the command line.
 
 ```yaml $(tag) == 'release_3_0'
-input-file: https://raw.githubusercontent.com/Azure/azure-rest-api-specs/master/specification/cognitiveservices/data-plane/TextAnalytics/stable/v3.0/TextAnalytics.json
+input-file: https://raw.githubusercontent.com/Azure/azure-rest-api-specs/main/specification/cognitiveservices/data-plane/TextAnalytics/stable/v3.0/TextAnalytics.json
 namespace: azure.ai.textanalytics.v3_0
 output-folder: $(python-sdks-folder)/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_generated/v3_0
 ```
@@ -56,7 +56,7 @@ output-folder: $(python-sdks-folder)/textanalytics/azure-ai-textanalytics/azure/
 These settings apply only when `--tag=release_3_1` is specified on the command line.
 
 ```yaml $(tag) == 'release_3_1'
-input-file: https://raw.githubusercontent.com/Azure/azure-rest-api-specs/master/specification/cognitiveservices/data-plane/TextAnalytics/stable/v3.1/TextAnalytics.json
+input-file: https://raw.githubusercontent.com/Azure/azure-rest-api-specs/main/specification/cognitiveservices/data-plane/TextAnalytics/stable/v3.1/TextAnalytics.json
 namespace: azure.ai.textanalytics.v3_1
 output-folder: $(python-sdks-folder)/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_generated/v3_1
 ```
@@ -66,7 +66,7 @@ output-folder: $(python-sdks-folder)/textanalytics/azure-ai-textanalytics/azure/
 These settings apply only when `--tag=release_3_2_preview.2` is specified on the command line.
 
 ```yaml $(tag) == 'release_3_2_preview.2'
-input-file: https://raw.githubusercontent.com/Azure/azure-rest-api-specs/71c9d235dab9206194691d083f0248c8613e2e17/specification/cognitiveservices/data-plane/TextAnalytics/preview/v3.2-preview.2/TextAnalytics.json
+input-file: https://raw.githubusercontent.com/Azure/azure-rest-api-specs/main/specification/cognitiveservices/data-plane/TextAnalytics/preview/v3.2-preview.2/TextAnalytics.json
 namespace: azure.ai.textanalytics.v3_2_preview_2
 output-folder: $(python-sdks-folder)/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_generated/v3_2_preview_2
 ```

shared_requirements.txt

@@ -150,7 +150,7 @@ backports.functools-lru-cache >= 1.6.4; python_version == "2.7"
 #override azure-keyvault-keys azure-core<2.0.0,>=1.7.0
 #override azure-keyvault-secrets azure-core<2.0.0,>=1.7.0
 #override azure-ai-textanalytics msrest>=0.6.21
-#override azure-ai-textanalytics azure-core<2.0.0,>=1.16.0
+#override azure-ai-textanalytics azure-core<2.0.0,>=1.19.1
 #override azure-ai-language-questionanswering azure-core<2.0.0,>=1.19.0
 #override azure-ai-language-questionanswering msrest>=0.6.21
 #override azure-search-documents azure-core<2.0.0,>=1.19.0