[text analytics] bing_id -> bing_entity_search_api_id

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

@@ -12,7 +12,7 @@ pass in `v3.0` to the kwarg `api_version` when creating your TextAnalyticsClient
   - `offset` is the offset of the text from the start of the document
 - We now have added support for opinion mining. To use this feature, you need to make sure you are using the service's
 v3.1-preview.1 API. To get this support pass `show_opinion_mining` as True when calling the `analyze_sentiment` endpoint
-- Add property `bing_id` to the `LinkedEntity` class. This property is only available for v3.1-preview.2 and up, and it is to be
+- Add property `bing_entity_search_api_id` to the `LinkedEntity` class. This property is only available for v3.1-preview.2 and up, and it is to be
 used in conjunction with the Bing Entity Search API to fetch additional relevant information about the returned entity.
 
 ## 5.0.0 (2020-07-27)

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

@@ -630,11 +630,11 @@ class LinkedEntity(DictMixin):
     :ivar data_source: Data source used to extract entity linking,
         such as Wiki/Bing etc.
     :vartype data_source: str
-    :ivar str bing_id: Bing unique identifier of the recognized entity. Use in conjunction
+    :ivar str bing_entity_search_api_id: Bing unique identifier of the recognized entity. Use in conjunction
         with the Bing Entity Search SDK to fetch additional relevant information. Only
         available for API version v3.1-preview.2 and up.
     .. versionadded:: v3.1-preview.2
-        The *bing_id* property.
+        The *bing_entity_search_api_id* property.
     """
 
     def __init__(self, **kwargs):
@@ -644,31 +644,31 @@ def __init__(self, **kwargs):
         self.data_source_entity_id = kwargs.get("data_source_entity_id", None)
         self.url = kwargs.get("url", None)
         self.data_source = kwargs.get("data_source", None)
-        self.bing_id = kwargs.get("bing_id", None)
+        self.bing_entity_search_api_id = kwargs.get("bing_entity_search_api_id", None)
 
     @classmethod
     def _from_generated(cls, entity):
-        bing_id = entity.bing_id if hasattr(entity, "bing_id") else None
+        bing_entity_search_api_id = entity.bing_id if hasattr(entity, "bing_id") else None
         return cls(
             name=entity.name,
             matches=[LinkedEntityMatch._from_generated(e) for e in entity.matches],  # pylint: disable=protected-access
             language=entity.language,
             data_source_entity_id=entity.id,
             url=entity.url,
             data_source=entity.data_source,
-            bing_id=bing_id,
+            bing_entity_search_api_id=bing_entity_search_api_id,
         )
 
     def __repr__(self):
         return "LinkedEntity(name={}, matches={}, language={}, data_source_entity_id={}, url={}, " \
-            "data_source={}, bing_id={})".format(
+            "data_source={}, bing_entity_search_api_id={})".format(
                 self.name,
                 repr(self.matches),
                 self.language,
                 self.data_source_entity_id,
                 self.url,
                 self.data_source,
-                self.bing_id,
+                self.bing_entity_search_api_id,
         )[:1024]
 
 

sdk/textanalytics/azure-ai-textanalytics/tests/test_recognize_linked_entities.py

@@ -599,4 +599,4 @@ def test_bing_id(self, client):
         result = client.recognize_linked_entities(["Microsoft was founded by Bill Gates and Paul Allen"])
         for doc in result:
             for entity in doc.entities:
-                assert entity.bing_id  # this checks if it's None and if it's empty
+                assert entity.bing_entity_search_api_id  # this checks if it's None and if it's empty

sdk/textanalytics/azure-ai-textanalytics/tests/test_recognize_linked_entities_async.py

@@ -635,4 +635,4 @@ async def test_bing_id(self, client):
         result = await client.recognize_linked_entities(["Microsoft was founded by Bill Gates and Paul Allen"])
         for doc in result:
             for entity in doc.entities:
-                assert entity.bing_id  # this checks if it's None and if it's empty
+                assert entity.bing_entity_search_api_id  # this checks if it's None and if it's empty

sdk/textanalytics/azure-ai-textanalytics/tests/test_repr.py

@@ -117,12 +117,12 @@ def linked_entity(linked_entity_match):
         data_source_entity_id="Bill Gates",
         url="https://en.wikipedia.org/wiki/Bill_Gates",
         data_source="wikipedia",
-        bing_id="12345678"
+        bing_entity_search_api_id="12345678"
     )
     model_repr = (
         "LinkedEntity(name=Bill Gates, matches=[{}, {}], "\
         "language=English, data_source_entity_id=Bill Gates, "\
-        "url=https://en.wikipedia.org/wiki/Bill_Gates, data_source=wikipedia, bing_id=12345678)".format(
+        "url=https://en.wikipedia.org/wiki/Bill_Gates, data_source=wikipedia, bing_entity_search_api_id=12345678)".format(
             linked_entity_match[1], linked_entity_match[1]
         )
     )