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feat(samples): add all feature values samples (#981)
* feat(samples): add all feature values samples * feat(samples): update all feature values samples * feat(samples): update big query dependency in pom.xml * feat(samples): code review changes * feat(samples): updated feature values samples with close method call and list variable * 🦉 Updates from OwlBot post-processor See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
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java-aiplatform/samples/snippets/src/main/java/aiplatform/BatchCreateFeaturesSample.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 features in bulk for an existing entity type. See | ||
| * https://cloud.google.com/vertex-ai/docs/featurestore/setup | ||
| * before running the code snippet | ||
| */ | ||
|
|
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| package aiplatform; | ||
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|
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| // [START aiplatform_batch_create_features_sample] | ||
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| import com.google.api.gax.longrunning.OperationFuture; | ||
| import com.google.cloud.aiplatform.v1.BatchCreateFeaturesOperationMetadata; | ||
| import com.google.cloud.aiplatform.v1.BatchCreateFeaturesRequest; | ||
| import com.google.cloud.aiplatform.v1.BatchCreateFeaturesResponse; | ||
| 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.ArrayList; | ||
| import java.util.List; | ||
| import java.util.concurrent.ExecutionException; | ||
| import java.util.concurrent.TimeUnit; | ||
| import java.util.concurrent.TimeoutException; | ||
|
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| public class BatchCreateFeaturesSample { | ||
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| 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 location = "us-central1"; | ||
| String endpoint = "us-central1-aiplatform.googleapis.com:443"; | ||
| int timeout = 300; | ||
| batchCreateFeaturesSample(project, featurestoreId, entityTypeId, location, endpoint, timeout); | ||
| } | ||
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| static void batchCreateFeaturesSample( | ||
| String project, | ||
| String featurestoreId, | ||
| String entityTypeId, | ||
| String location, | ||
| String endpoint, | ||
| int timeout) | ||
| throws IOException, InterruptedException, ExecutionException, TimeoutException { | ||
| FeaturestoreServiceSettings featurestoreServiceSettings = | ||
| FeaturestoreServiceSettings.newBuilder().setEndpoint(endpoint).build(); | ||
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| // 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)) { | ||
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| List<CreateFeatureRequest> createFeatureRequests = new ArrayList<>(); | ||
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| Feature titleFeature = | ||
| Feature.newBuilder() | ||
| .setDescription("The title of the movie") | ||
| .setValueType(ValueType.STRING) | ||
| .build(); | ||
| Feature genresFeature = | ||
| Feature.newBuilder() | ||
| .setDescription("The genres of the movie") | ||
| .setValueType(ValueType.STRING) | ||
| .build(); | ||
| Feature averageRatingFeature = | ||
| Feature.newBuilder() | ||
| .setDescription("The average rating for the movie, range is [1.0-5.0]") | ||
| .setValueType(ValueType.DOUBLE) | ||
| .build(); | ||
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| createFeatureRequests.add( | ||
| CreateFeatureRequest.newBuilder().setFeature(titleFeature).setFeatureId("title").build()); | ||
|
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| createFeatureRequests.add( | ||
| CreateFeatureRequest.newBuilder() | ||
| .setFeature(genresFeature) | ||
| .setFeatureId("genres") | ||
| .build()); | ||
|
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| createFeatureRequests.add( | ||
| CreateFeatureRequest.newBuilder() | ||
| .setFeature(averageRatingFeature) | ||
| .setFeatureId("average_rating") | ||
| .build()); | ||
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| BatchCreateFeaturesRequest batchCreateFeaturesRequest = | ||
| BatchCreateFeaturesRequest.newBuilder() | ||
| .setParent( | ||
| EntityTypeName.of(project, location, featurestoreId, entityTypeId).toString()) | ||
| .addAllRequests(createFeatureRequests) | ||
| .build(); | ||
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| OperationFuture<BatchCreateFeaturesResponse, BatchCreateFeaturesOperationMetadata> | ||
| batchCreateFeaturesFuture = | ||
| featurestoreServiceClient.batchCreateFeaturesAsync(batchCreateFeaturesRequest); | ||
| System.out.format( | ||
| "Operation name: %s%n", batchCreateFeaturesFuture.getInitialFuture().get().getName()); | ||
| System.out.println("Waiting for operation to finish..."); | ||
| BatchCreateFeaturesResponse batchCreateFeaturesResponse = | ||
| batchCreateFeaturesFuture.get(timeout, TimeUnit.SECONDS); | ||
| System.out.println("Batch Create Features Response"); | ||
| System.out.println(batchCreateFeaturesResponse); | ||
| featurestoreServiceClient.close(); | ||
| } | ||
| } | ||
| } | ||
| // [END aiplatform_batch_create_features_sample] |
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