feat(natural-language-understanding-v1): generated using api def 5b4cdff & gen 3.31.0

Author: kevinkowa

natural-language-understanding/src/main/java/com/ibm/watson/natural_language_understanding/v1/NaturalLanguageUnderstanding.java

@@ -30,6 +30,7 @@
 import com.ibm.watson.natural_language_understanding.v1.model.AnalysisResults;
 import com.ibm.watson.natural_language_understanding.v1.model.AnalyzeOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.CategoriesModel;
+import com.ibm.watson.natural_language_understanding.v1.model.CategoriesModelList;
 import com.ibm.watson.natural_language_understanding.v1.model.ClassificationsModel;
 import com.ibm.watson.natural_language_understanding.v1.model.CreateCategoriesModelOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.CreateClassificationsModelOptions;
@@ -43,7 +44,6 @@
 import com.ibm.watson.natural_language_understanding.v1.model.GetClassificationsModelOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.GetSentimentModelOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.ListCategoriesModelsOptions;
-import com.ibm.watson.natural_language_understanding.v1.model.ListCategoriesModelsResponse;
 import com.ibm.watson.natural_language_understanding.v1.model.ListClassificationsModelsOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.ListClassificationsModelsResponse;
 import com.ibm.watson.natural_language_understanding.v1.model.ListModelsOptions;
@@ -569,9 +569,9 @@ public ServiceCall<CategoriesModel> createCategoriesModel(
    *
    * @param listCategoriesModelsOptions the {@link ListCategoriesModelsOptions} containing the
    *     options for the call
-   * @return a {@link ServiceCall} with a result of type {@link ListCategoriesModelsResponse}
+   * @return a {@link ServiceCall} with a result of type {@link CategoriesModelList}
    */
-  public ServiceCall<ListCategoriesModelsResponse> listCategoriesModels(
+  public ServiceCall<CategoriesModelList> listCategoriesModels(
       ListCategoriesModelsOptions listCategoriesModelsOptions) {
     RequestBuilder builder =
         RequestBuilder.get(
@@ -583,9 +583,9 @@ public ServiceCall<ListCategoriesModelsResponse> listCategoriesModels(
     }
     builder.header("Accept", "application/json");
     builder.query("version", String.valueOf(this.version));
-    ResponseConverter<ListCategoriesModelsResponse> responseConverter =
+    ResponseConverter<CategoriesModelList> responseConverter =
         ResponseConverterUtils.getValue(
-            new com.google.gson.reflect.TypeToken<ListCategoriesModelsResponse>() {}.getType());
+            new com.google.gson.reflect.TypeToken<CategoriesModelList>() {}.getType());
     return createServiceCall(builder.build(), responseConverter);
   }
 
@@ -594,9 +594,9 @@ public ServiceCall<ListCategoriesModelsResponse> listCategoriesModels(
    *
    * <p>(Beta) Returns all custom categories models associated with this service instance.
    *
-   * @return a {@link ServiceCall} with a result of type {@link ListCategoriesModelsResponse}
+   * @return a {@link ServiceCall} with a result of type {@link CategoriesModelList}
    */
-  public ServiceCall<ListCategoriesModelsResponse> listCategoriesModels() {
+  public ServiceCall<CategoriesModelList> listCategoriesModels() {
     return listCategoriesModels(null);
   }
 

natural-language-understanding/src/test/java/com/ibm/watson/natural_language_understanding/v1/NaturalLanguageUnderstandingTest.java

@@ -21,6 +21,7 @@
 import com.ibm.watson.natural_language_understanding.v1.model.AnalysisResults;
 import com.ibm.watson.natural_language_understanding.v1.model.AnalyzeOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.CategoriesModel;
+import com.ibm.watson.natural_language_understanding.v1.model.CategoriesModelList;
 import com.ibm.watson.natural_language_understanding.v1.model.CategoriesOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.ClassificationsModel;
 import com.ibm.watson.natural_language_understanding.v1.model.ClassificationsOptions;
@@ -41,7 +42,6 @@
 import com.ibm.watson.natural_language_understanding.v1.model.GetSentimentModelOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.KeywordsOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.ListCategoriesModelsOptions;
-import com.ibm.watson.natural_language_understanding.v1.model.ListCategoriesModelsResponse;
 import com.ibm.watson.natural_language_understanding.v1.model.ListClassificationsModelsOptions;
 import com.ibm.watson.natural_language_understanding.v1.model.ListClassificationsModelsResponse;
 import com.ibm.watson.natural_language_understanding.v1.model.ListModelsOptions;
@@ -705,7 +705,7 @@ public void testCreateCategoriesModelNoOptions() throws Throwable {
   public void testListCategoriesModelsWOptions() throws Throwable {
     // Schedule some responses.
     String mockResponseBody =
-        "{\"models\": [{\"models\": [{\"name\": \"name\", \"user_metadata\": {\"mapKey\": {\"anyKey\": \"anyValue\"}}, \"language\": \"language\", \"description\": \"description\", \"model_version\": \"modelVersion\", \"workspace_id\": \"workspaceId\", \"version_description\": \"versionDescription\", \"features\": [\"features\"], \"status\": \"starting\", \"model_id\": \"modelId\", \"created\": \"2019-01-01T12:00:00.000Z\", \"notices\": [{\"message\": \"message\"}], \"last_trained\": \"2019-01-01T12:00:00.000Z\", \"last_deployed\": \"2019-01-01T12:00:00.000Z\"}]}]}";
+        "{\"models\": [{\"name\": \"name\", \"user_metadata\": {\"mapKey\": {\"anyKey\": \"anyValue\"}}, \"language\": \"language\", \"description\": \"description\", \"model_version\": \"modelVersion\", \"workspace_id\": \"workspaceId\", \"version_description\": \"versionDescription\", \"features\": [\"features\"], \"status\": \"starting\", \"model_id\": \"modelId\", \"created\": \"2019-01-01T12:00:00.000Z\", \"notices\": [{\"message\": \"message\"}], \"last_trained\": \"2019-01-01T12:00:00.000Z\", \"last_deployed\": \"2019-01-01T12:00:00.000Z\"}]}";
     String listCategoriesModelsPath = "/v1/models/categories";
 
     server.enqueue(
@@ -721,12 +721,12 @@ public void testListCategoriesModelsWOptions() throws Throwable {
         new ListCategoriesModelsOptions();
 
     // Invoke operation with valid options model (positive test)
-    Response<ListCategoriesModelsResponse> response =
+    Response<CategoriesModelList> response =
         naturalLanguageUnderstandingService
             .listCategoriesModels(listCategoriesModelsOptionsModel)
             .execute();
     assertNotNull(response);
-    ListCategoriesModelsResponse responseObj = response.getResult();
+    CategoriesModelList responseObj = response.getResult();
     assertNotNull(responseObj);
 
     // Verify the contents of the request