feat(samples): add all feature samples

samples/snippets/src/main/java/aiplatform/CreateFeatureSample.java

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+/*
+ * Copyright 2022 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ *
+ * Create a single feature for an existing entity type. See
+ * https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+ * the code snippet
+ */
+
+package aiplatform;
+
+// [START aiplatform_create_feature_sample]
+
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.aiplatform.v1.CreateFeatureOperationMetadata;
+import com.google.cloud.aiplatform.v1.CreateFeatureRequest;
+import com.google.cloud.aiplatform.v1.EntityTypeName;
+import com.google.cloud.aiplatform.v1.Feature;
+import com.google.cloud.aiplatform.v1.Feature.ValueType;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceClient;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceSettings;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
+
+public class CreateFeatureSample {
+
+  public static void main(String[] args)
+      throws IOException, InterruptedException, ExecutionException, TimeoutException {
+    // TODO(developer): Replace these variables before running the sample.
+    String project = "YOUR_PROJECT_ID";
+    String featurestoreId = "YOUR_FEATURESTORE_ID";
+    String entityTypeId = "YOUR_ENTITY_TYPE_ID";
+    String featureId = "YOUR_FEATURE_ID";
+    String description = "YOUR_FEATURE_DESCRIPTION";
+    ValueType valueType = ValueType.STRING;
+    String location = "us-central1";
+    String endpoint = "us-central1-aiplatform.googleapis.com:443";
+    int timeout = 900;
+    createFeatureSample(
+        project,
+        featurestoreId,
+        entityTypeId,
+        featureId,
+        description,
+        valueType,
+        location,
+        endpoint,
+        timeout);
+  }
+
+  static void createFeatureSample(
+      String project,
+      String featurestoreId,
+      String entityTypeId,
+      String featureId,
+      String description,
+      ValueType valueType,
+      String location,
+      String endpoint,
+      int timeout)
+      throws IOException, InterruptedException, ExecutionException, TimeoutException {
+
+    FeaturestoreServiceSettings featurestoreServiceSettings =
+        FeaturestoreServiceSettings.newBuilder().setEndpoint(endpoint).build();
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (FeaturestoreServiceClient featurestoreServiceClient =
+        FeaturestoreServiceClient.create(featurestoreServiceSettings)) {
+
+      Feature feature =
+          Feature.newBuilder().setDescription(description).setValueType(valueType).build();
+
+      CreateFeatureRequest createFeatureRequest =
+          CreateFeatureRequest.newBuilder()
+              .setParent(
+                  EntityTypeName.of(project, location, featurestoreId, entityTypeId).toString())
+              .setFeature(feature)
+              .setFeatureId(featureId)
+              .build();
+
+      OperationFuture<Feature, CreateFeatureOperationMetadata> featureFuture =
+          featurestoreServiceClient.createFeatureAsync(createFeatureRequest);
+      System.out.format("Operation name: %s%n", featureFuture.getInitialFuture().get().getName());
+      System.out.println("Waiting for operation to finish...");
+      Feature featureResponse = featureFuture.get(timeout, TimeUnit.SECONDS);
+      System.out.println("Create Feature Response");
+      System.out.format("Name: %s%n", featureResponse.getName());
+      featurestoreServiceClient.close();
+    }
+  }
+}
+// [END aiplatform_create_feature_sample]

samples/snippets/src/main/java/aiplatform/DeleteFeatureSample.java

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+/*
+ * Copyright 2022 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ *
+ * Delete a single feature from an existing entity type. See
+ * https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+ * the code snippet
+ */
+
+package aiplatform;
+
+// [START aiplatform_delete_feature_sample]
+
+import com.google.api.gax.longrunning.OperationFuture;
+import com.google.cloud.aiplatform.v1.DeleteFeatureRequest;
+import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
+import com.google.cloud.aiplatform.v1.FeatureName;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceClient;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceSettings;
+import com.google.protobuf.Empty;
+import java.io.IOException;
+import java.util.concurrent.ExecutionException;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
+
+public class DeleteFeatureSample {
+
+  public static void main(String[] args)
+      throws IOException, InterruptedException, ExecutionException, TimeoutException {
+    // TODO(developer): Replace these variables before running the sample.
+    String project = "YOUR_PROJECT_ID";
+    String featurestoreId = "YOUR_FEATURESTORE_ID";
+    String entityTypeId = "YOUR_ENTITY_TYPE_ID";
+    String featureId = "YOUR_FEATURE_ID";
+    String location = "us-central1";
+    String endpoint = "us-central1-aiplatform.googleapis.com:443";
+    int timeout = 300;
+
+    deleteFeatureSample(
+        project, featurestoreId, entityTypeId, featureId, location, endpoint, timeout);
+  }
+
+  static void deleteFeatureSample(
+      String project,
+      String featurestoreId,
+      String entityTypeId,
+      String featureId,
+      String location,
+      String endpoint,
+      int timeout)
+      throws IOException, InterruptedException, ExecutionException, TimeoutException {
+    FeaturestoreServiceSettings featurestoreServiceSettings =
+        FeaturestoreServiceSettings.newBuilder().setEndpoint(endpoint).build();
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (FeaturestoreServiceClient featurestoreServiceClient =
+        FeaturestoreServiceClient.create(featurestoreServiceSettings)) {
+
+      DeleteFeatureRequest deleteFeatureRequest =
+          DeleteFeatureRequest.newBuilder()
+              .setName(
+                  FeatureName.of(project, location, featurestoreId, entityTypeId, featureId)
+                      .toString())
+              .build();
+
+      OperationFuture<Empty, DeleteOperationMetadata> operationFuture =
+          featurestoreServiceClient.deleteFeatureAsync(deleteFeatureRequest);
+      System.out.format("Operation name: %s%n", operationFuture.getInitialFuture().get().getName());
+      System.out.println("Waiting for operation to finish...");
+      operationFuture.get(timeout, TimeUnit.SECONDS);
+      System.out.format("Deleted Feature.");
+      featurestoreServiceClient.close();
+    }
+  }
+}
+// [END aiplatform_delete_feature_sample]

samples/snippets/src/main/java/aiplatform/GetFeatureSample.java

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+/*
+ * Copyright 2022 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ *
+ * Get feature details. See
+ * https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+ * the code snippet
+ */
+
+package aiplatform;
+
+// [START aiplatform_get_feature_sample]
+
+import com.google.cloud.aiplatform.v1.Feature;
+import com.google.cloud.aiplatform.v1.FeatureName;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceClient;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceSettings;
+import com.google.cloud.aiplatform.v1.GetFeatureRequest;
+import java.io.IOException;
+
+public class GetFeatureSample {
+
+  public static void main(String[] args) throws IOException {
+    // TODO(developer): Replace these variables before running the sample.
+    String project = "YOUR_PROJECT_ID";
+    String featurestoreId = "YOUR_FEATURESTORE_ID";
+    String entityTypeId = "YOUR_ENTITY_TYPE_ID";
+    String featureId = "YOUR_FEATURE_ID";
+    String location = "us-central1";
+    String endpoint = "us-central1-aiplatform.googleapis.com:443";
+
+    getFeatureSample(project, featurestoreId, entityTypeId, featureId, location, endpoint);
+  }
+
+  static void getFeatureSample(
+      String project,
+      String featurestoreId,
+      String entityTypeId,
+      String featureId,
+      String location,
+      String endpoint)
+      throws IOException {
+
+    FeaturestoreServiceSettings featurestoreServiceSettings =
+        FeaturestoreServiceSettings.newBuilder().setEndpoint(endpoint).build();
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (FeaturestoreServiceClient featurestoreServiceClient =
+        FeaturestoreServiceClient.create(featurestoreServiceSettings)) {
+
+      GetFeatureRequest getFeatureRequest =
+          GetFeatureRequest.newBuilder()
+              .setName(
+                  FeatureName.of(project, location, featurestoreId, entityTypeId, featureId)
+                      .toString())
+              .build();
+
+      Feature feature = featurestoreServiceClient.getFeature(getFeatureRequest);
+      System.out.println("Get Feature Response");
+      System.out.println(feature);
+      featurestoreServiceClient.close();
+    }
+  }
+}
+// [END aiplatform_get_feature_sample]

samples/snippets/src/main/java/aiplatform/ListFeaturesAsyncSample.java

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+/*
+ * Copyright 2022 Google LLC
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ *
+ * List available feature details. See
+ * https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
+ * the code snippet
+ */
+
+package aiplatform;
+
+// [START aiplatform_list_features_async_sample]
+
+import com.google.cloud.aiplatform.v1.EntityTypeName;
+import com.google.cloud.aiplatform.v1.Feature;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceClient;
+import com.google.cloud.aiplatform.v1.FeaturestoreServiceSettings;
+import com.google.cloud.aiplatform.v1.ListFeaturesRequest;
+import com.google.cloud.aiplatform.v1.ListFeaturesResponse;
+import com.google.common.base.Strings;
+import java.io.IOException;
+
+public class ListFeaturesAsyncSample {
+
+  public static void main(String[] args) throws IOException {
+    // TODO(developer): Replace these variables before running the sample.
+    String project = "YOUR_PROJECT_ID";
+    String featurestoreId = "YOUR_FEATURESTORE_ID";
+    String entityTypeId = "YOUR_ENTITY_TYPE_ID";
+    String location = "us-central1";
+    String endpoint = "us-central1-aiplatform.googleapis.com:443";
+
+    listFeaturesAsyncSample(project, featurestoreId, entityTypeId, location, endpoint);
+  }
+
+  static void listFeaturesAsyncSample(
+      String project, String featurestoreId, String entityTypeId, String location, String endpoint)
+      throws IOException {
+    FeaturestoreServiceSettings featurestoreServiceSettings =
+        FeaturestoreServiceSettings.newBuilder().setEndpoint(endpoint).build();
+
+    // Initialize client that will be used to send requests. This client only needs to be created
+    // once, and can be reused for multiple requests. After completing all of your requests, call
+    // the "close" method on the client to safely clean up any remaining background resources.
+    try (FeaturestoreServiceClient featurestoreServiceClient =
+        FeaturestoreServiceClient.create(featurestoreServiceSettings)) {
+
+      ListFeaturesRequest listFeaturesRequest =
+          ListFeaturesRequest.newBuilder()
+              .setParent(
+                  EntityTypeName.of(project, location, featurestoreId, entityTypeId).toString())
+              .build();
+      System.out.println("List Features Async Response");
+      while (true) {
+        ListFeaturesResponse listFeaturesResponse =
+            featurestoreServiceClient.listFeaturesCallable().call(listFeaturesRequest);
+        for (Feature element : listFeaturesResponse.getFeaturesList()) {
+          System.out.println(element);
+        }
+        String nextPageToken = listFeaturesResponse.getNextPageToken();
+        if (!Strings.isNullOrEmpty(nextPageToken)) {
+          listFeaturesRequest = listFeaturesRequest.toBuilder().setPageToken(nextPageToken).build();
+        } else {
+          break;
+        }
+      }
+      featurestoreServiceClient.close();
+    }
+  }
+}
+// [END aiplatform_list_features_async_sample]