[Text Translation] Updating the SDK from the latest TypeSpec

sdk/translation/azure-ai-translation-text/CHANGELOG.md

@@ -1,14 +1,20 @@
 # Release History
 
-## 1.0.0b2 (Unreleased)
+## 1.0.0 (Unreleased)
 
 ### Features Added
-  - Added support for AAD authentication.
+  - Added support for Entra Id authentication.
 
 ### Breaking Changes
 
-  - All calls to the client using parameter 'content' have been changed to use parameter 'request_body'.
+  - All calls to the client using parameter 'content' have been changed to use parameter 'body'.
   - Users can call methods using just a string type instead of complex objects.
+  - get_languages methods were changed to get_supported_languages.
+  - sent_len property was renamed to sentences_lengths.
+  - from_parameter parameter was renamed to source_language.
+  - score parameter was renamed to confidence.
+  - from_script parameter was renamed to source_language_script.
+  - to_script parameter was renamed to _target_langauge_script.
 
 ### Bugs Fixed
 

sdk/translation/azure-ai-translation-text/README.md

@@ -55,16 +55,16 @@ az cognitiveservices account keys list --resource-group <your-resource-group-nam
 
 #### Create a `TextTranslationClient` using an API key and Region credential
 
-Once you have the value for the API key and Region, create an `TranslatorCredential`. This will allow you to
+Once you have the value for the API key and Region, create an `AzureKeyCredential`. This will allow you to
 update the API key without creating a new client.
 
 With the value of the `endpoint`, `credential` and a `region`, you can create the [TextTranslationClient][client_sample]:
 
 <!-- SNIPPET: sample_text_translation_client.create_text_translation_client_with_credential -->
 
 ```python
-credential = TranslatorCredential(apikey, region)
-text_translator = TextTranslationClient(credential=credential, endpoint=endpoint)
+credential = AzureKeyCredential(apikey)
+text_translator = TextTranslationClient(credential=credential, endpoint=endpoint, region=region)
 ```
 
 <!-- END SNIPPET -->
@@ -92,7 +92,7 @@ Gets the set of languages currently supported by other operations of the Transla
 
 ```python
 try:
-    response = text_translator.get_languages()
+    response = text_translator.get_supported_languages()
 
     print(
         f"Number of supported languages for translate operation: {len(response.translation) if response.translation is not None else 0}"
@@ -143,14 +143,14 @@ try:
     target_languages = ["cs", "es", "de"]
     input_text_elements = ["This is a test"]
 
-    response = text_translator.translate(request_body=input_text_elements, to=target_languages)
+    response = text_translator.translate(body=input_text_elements, to=target_languages)
     translation = response[0] if response else None
 
     if translation:
         detected_language = translation.detected_language
         if detected_language:
             print(
-                f"Detected languages of the input text: {detected_language.language} with score: {detected_language.score}."
+                f"Detected languages of the input text: {detected_language.language} with score: {detected_language.confidence}."
             )
         for translated_text in translation.translations:
             print(f"Text was translated to: '{translated_text.to}' and the result is: '{translated_text.text}'.")
@@ -177,12 +177,15 @@ Converts characters or letters of a source language to the corresponding charact
 ```python
 try:
     language = "zh-Hans"
-    from_script = "Hans"
-    to_script = "Latn"
+    source_language_script = "Hans"
+    target_language_script = "Latn"
     input_text_elements = ["这是个测试。"]
 
     response = text_translator.transliterate(
-        request_body=input_text_elements, language=language, from_script=from_script, to_script=to_script
+        body=input_text_elements,
+        language=language,
+        source_language_script=source_language_script,
+        target_language_script=target_language_script,
     )
     transliteration = response[0] if response else None
 
@@ -216,21 +219,23 @@ try:
     input_text_elements = ["The answer lies in machine translation. This is a test."]
 
     response = text_translator.translate(
-        request_body=input_text_elements, to=target_languages, include_sentence_length=include_sentence_length
+        body=input_text_elements, to=target_languages, include_sentence_length=include_sentence_length
     )
     translation = response[0] if response else None
 
     if translation:
         detected_language = translation.detected_language
         if detected_language:
             print(
-                f"Detected languages of the input text: {detected_language.language} with score: {detected_language.score}."
+                f"Detected languages of the input text: {detected_language.language} with score: {detected_language.confidence}."
             )
         for translated_text in translation.translations:
             print(f"Text was translated to: '{translated_text.to}' and the result is: '{translated_text.text}'.")
-            if translated_text.sent_len:
-                print(f"Source Sentence length: {translated_text.sent_len.src_sent_len}")
-                print(f"Translated Sentence length: {translated_text.sent_len.trans_sent_len}")
+            if translated_text.sentences_lengths:
+                print(f"Source Sentence length: {translated_text.sentences_lengths.src_sentences_lengths}")
+                print(
+                    f"Translated Sentence length: {translated_text.sentences_lengths.translated_sentences_lengths}"
+                )
 
 except HttpResponseError as exception:
     if exception.error is not None:
@@ -257,7 +262,7 @@ try:
     input_text_elements = ["fly"]
 
     response = text_translator.lookup_dictionary_entries(
-        request_body=input_text_elements, from_parameter=source_language, to=target_language
+        body=input_text_elements, source_language=source_language, to=target_language
     )
     dictionary_entry = response[0] if response else None
 
@@ -293,7 +298,7 @@ try:
     input_text_elements = [DictionaryExampleTextItem(text="fly", translation="volar")]
 
     response = text_translator.lookup_dictionary_examples(
-        content=input_text_elements, from_parameter=source_language, to=target_language
+        content=input_text_elements, source_language=source_language, to=target_language
     )
     dictionary_entry = response[0] if response else None
 

sdk/translation/azure-ai-translation-text/assets.json

@@ -2,5 +2,5 @@
   "AssetsRepo": "Azure/azure-sdk-assets",
   "AssetsRepoPrefixPath": "python",
   "TagPrefix": "python/translation/azure-ai-translation-text",
-  "Tag": "python/translation/azure-ai-translation-text_afde2bdc8c"
+  "Tag": "python/translation/azure-ai-translation-text_35ab9367d7"
 }

sdk/translation/azure-ai-translation-text/azure/ai/translation/text/__init__.py

@@ -6,16 +6,15 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-from ._patch import TextTranslationClient, TranslatorCredential, TranslatorAADCredential
+from ._patch import TextTranslationClient
 from ._version import VERSION
 
 __version__ = VERSION
 
+
 from ._patch import patch_sdk as _patch_sdk
 
 __all__ = [
-    "TranslatorCredential",
-    "TranslatorAADCredential",
     "TextTranslationClient",
 ]