Skip to content
This repository has been archived by the owner on Sep 9, 2023. It is now read-only.

feat(samples): add create-featurestore sample #948

Merged
merged 8 commits into from
Jun 21, 2022
Merged
Show file tree
Hide file tree
Changes from 7 commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
@@ -0,0 +1,90 @@
/*
* 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 featurestore resource to contain entity types and features. See
* https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
* the code snippet
*/

package aiplatform;

// [START aiplatform_create_featurestore_sample]

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.aiplatform.v1beta1.CreateFeaturestoreOperationMetadata;
import com.google.cloud.aiplatform.v1beta1.CreateFeaturestoreRequest;
import com.google.cloud.aiplatform.v1beta1.Featurestore;
import com.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig;
import com.google.cloud.aiplatform.v1beta1.Featurestore.OnlineServingConfig.Scaling;
import com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceClient;
import com.google.cloud.aiplatform.v1beta1.FeaturestoreServiceSettings;
import com.google.cloud.aiplatform.v1beta1.LocationName;
import java.io.IOException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;

public class CreateFeaturestoreSample {

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";
int minNodeCount = 1;
int maxNodeCount = 5;
String location = "us-central1";
String endpoint = "us-central1-aiplatform.googleapis.com:443";
int timeout = 900;
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Pls change this 15 minutes

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

The timeout unit is kept in seconds so I have given 900 which is equal to 15 minutes, Should I change the timeout unit to minutes??

Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Ah, sorry my math. lgtm

createFeaturestoreSample(project, featurestoreId, minNodeCount, maxNodeCount,
location, endpoint, timeout);
}

static void createFeaturestoreSample(String project, String featurestoreId,
int minNodeCount, int maxNodeCount, 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)) {

OnlineServingConfig.Builder builderValue = OnlineServingConfig.newBuilder().setScaling(
Scaling.newBuilder().setMinNodeCount(minNodeCount).setMaxNodeCount(maxNodeCount));
Featurestore featurestore =
Featurestore.newBuilder().setOnlineServingConfig(builderValue).build();
String parent = LocationName.of(project, location).toString();

CreateFeaturestoreRequest createFeaturestoreRequest =
CreateFeaturestoreRequest.newBuilder().setParent(parent).setFeaturestore(featurestore)
.setFeaturestoreId(featurestoreId).build();

OperationFuture<Featurestore, CreateFeaturestoreOperationMetadata> featurestoreFuture =
featurestoreServiceClient.createFeaturestoreAsync(createFeaturestoreRequest);
System.out.format("Operation name: %s%n",
featurestoreFuture.getInitialFuture().get().getName());
System.out.println("Waiting for operation to finish...");
Featurestore featurestoreResponse = featurestoreFuture.get(timeout, TimeUnit.SECONDS);
System.out.println("Create Featurestore Response");
System.out.format("Name: %s%n", featurestoreResponse.getName());
}
}
}
// [END aiplatform_create_featurestore_sample]
Original file line number Diff line number Diff line change
@@ -0,0 +1,79 @@
/*
* 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 featurestore. See
* https://cloud.google.com/vertex-ai/docs/featurestore/setup before running
* the code snippet
*/

package aiplatform;

// [START aiplatform_delete_featurestore_sample]

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.aiplatform.v1.DeleteFeaturestoreRequest;
import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
import com.google.cloud.aiplatform.v1.FeaturestoreName;
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 DeleteFeaturestoreSample {

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";
boolean useForce = true;
String location = "us-central1";
String endpoint = "us-central1-aiplatform.googleapis.com:443";
int timeout = 60;
deleteFeaturestoreSample(project, featurestoreId, useForce, location, endpoint, timeout);
}

static void deleteFeaturestoreSample(String project, String featurestoreId, boolean useForce,
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)) {

DeleteFeaturestoreRequest deleteFeaturestoreRequest = DeleteFeaturestoreRequest.newBuilder()
.setName(FeaturestoreName.of(project, location, featurestoreId).toString())
.setForce(useForce).build();

OperationFuture<Empty, DeleteOperationMetadata> operationFuture =
featurestoreServiceClient.deleteFeaturestoreAsync(deleteFeaturestoreRequest);
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 Featurestore.");
}
}
}
// [END aiplatform_delete_featurestore_sample]
Original file line number Diff line number Diff line change
@@ -0,0 +1,136 @@
/*
* 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.
*/

package aiplatform;

import static com.google.common.truth.Truth.assertThat;
import static junit.framework.TestCase.assertNotNull;

import com.google.api.gax.longrunning.OperationFuture;
import com.google.cloud.aiplatform.v1.DeleteFeaturestoreRequest;
import com.google.cloud.aiplatform.v1.DeleteOperationMetadata;
import com.google.cloud.aiplatform.v1.FeaturestoreName;
import com.google.cloud.aiplatform.v1.FeaturestoreServiceClient;
import com.google.cloud.aiplatform.v1.FeaturestoreServiceSettings;
import com.google.protobuf.Empty;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.PrintStream;
import java.util.UUID;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.TimeoutException;
import org.junit.After;
import org.junit.Before;
import org.junit.BeforeClass;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.JUnit4;

@RunWith(JUnit4.class)
public class CreateFeaturestoreSampleTest {

private static final String PROJECT_ID = System.getenv("UCAIP_PROJECT_ID");
private static final int MIN_NODE_COUNT = 1;
private static final int MAX_NODE_COUNT = 5;
private static final boolean USE_FORCE = true;
private static final String LOCATION = "us-central1";
private static final String ENDPOINT = "us-central1-aiplatform.googleapis.com:443";
private static final int TIMEOUT = 900;
private ByteArrayOutputStream bout;
private PrintStream out;
private PrintStream originalPrintStream;
private String featurestoreId;

private static void requireEnvVar(String varName) {
String errorMessage =
String.format("Environment variable '%s' is required to perform these tests.", varName);
assertNotNull(errorMessage, System.getenv(varName));
}

@BeforeClass
public static void checkRequirements() {
requireEnvVar("GOOGLE_APPLICATION_CREDENTIALS");
requireEnvVar("UCAIP_PROJECT_ID");
}

@Before
public void setUp() {
bout = new ByteArrayOutputStream();
out = new PrintStream(bout);
originalPrintStream = System.out;
System.setOut(out);
}

static void deleteFeaturestoreSample(String project, String featurestoreId, boolean useForce,
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)) {

DeleteFeaturestoreRequest deleteFeaturestoreRequest = DeleteFeaturestoreRequest.newBuilder()
.setName(FeaturestoreName.of(project, location, featurestoreId).toString())
.setForce(useForce).build();

OperationFuture<Empty, DeleteOperationMetadata> operationFuture =
featurestoreServiceClient.deleteFeaturestoreAsync(deleteFeaturestoreRequest);
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 Featurestore.");
}
}

@After
public void tearDown()
throws InterruptedException, ExecutionException, IOException, TimeoutException {

// Delete the featurestore
deleteFeaturestoreSample(PROJECT_ID, featurestoreId, USE_FORCE,
LOCATION, ENDPOINT, 60);

// Assert
String deleteFeaturestoreResponse = bout.toString();
assertThat(deleteFeaturestoreResponse).contains("Deleted Featurestore");
System.out.flush();
System.setOut(originalPrintStream);
}

@Test
public void testCreateFeaturestoreSample()
throws IOException, InterruptedException, ExecutionException, TimeoutException {
// Create the featurestore
String tempUuid = UUID.randomUUID().toString().replaceAll("-", "_").substring(0, 26);
String id = String.format("temp_create_featurestore_test_%s", tempUuid);
CreateFeaturestoreSample.createFeaturestoreSample(PROJECT_ID, id,
MIN_NODE_COUNT, MAX_NODE_COUNT, LOCATION, ENDPOINT, TIMEOUT);

// Assert
String createFeaturestoreResponse = bout.toString();
assertThat(createFeaturestoreResponse).contains("Create Featurestore Response");
featurestoreId =
createFeaturestoreResponse.split("Name: ")[1].split("featurestores/")[1].split("\n")[0]
.trim();
}
}