Examples with Dataset com.google.cloud.aiplatform.v1beta1.Dataset used on opensource projects

Example 46 with Dataset

use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-aiplatform by googleapis.

the class ImportDataImageClassificationSampleTest method setUp.

@Before
public void setUp() throws IOException, InterruptedException, ExecutionException, TimeoutException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml";
        LocationName locationName = LocationName.of(PROJECT, LOCATION);
        Dataset dataset = Dataset.newBuilder().setDisplayName("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(120, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}

Example 47 with Dataset

use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-aiplatform by googleapis.

the class ImportDataVideoActionRecognitionSampleTest method setUp.

@Before
public void setUp() throws IOException, InterruptedException, ExecutionException, TimeoutException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml";
        LocationName locationName = LocationName.of(PROJECT, LOCATION);
        Dataset dataset = Dataset.newBuilder().setDisplayName("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(300, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}

Example 48 with Dataset

use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-aiplatform by googleapis.

the class ImportDataVideoClassificationSampleTest method setUp.

@Before
public void setUp() throws IOException, InterruptedException, ExecutionException, TimeoutException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml";
        LocationName locationName = LocationName.of(PROJECT, LOCATION);
        Dataset dataset = Dataset.newBuilder().setDisplayName("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(300, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}

Example 49 with Dataset

use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-aiplatform by googleapis.

the class DatasetServiceClientTest method listDatasetsTest2.

@Test
public void listDatasetsTest2() throws Exception {
    Dataset responsesElement = Dataset.newBuilder().build();
    ListDatasetsResponse expectedResponse = ListDatasetsResponse.newBuilder().setNextPageToken("").addAllDatasets(Arrays.asList(responsesElement)).build();
    mockDatasetService.addResponse(expectedResponse);
    String parent = "parent-995424086";
    ListDatasetsPagedResponse pagedListResponse = client.listDatasets(parent);
    List<Dataset> resources = Lists.newArrayList(pagedListResponse.iterateAll());
    Assert.assertEquals(1, resources.size());
    Assert.assertEquals(expectedResponse.getDatasetsList().get(0), resources.get(0));
    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    ListDatasetsRequest actualRequest = ((ListDatasetsRequest) actualRequests.get(0));
    Assert.assertEquals(parent, actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}

Example 50 with Dataset

use of com.google.cloud.aiplatform.v1beta1.Dataset in project java-aiplatform by googleapis.

the class CreateDatasetImageSample method createDatasetImageSample.

static void createDatasetImageSample(String project, String datasetDisplayName) throws IOException, InterruptedException, ExecutionException, TimeoutException {
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String location = "us-central1";
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml";
        LocationName locationName = LocationName.of(project, location);
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetDisplayName).setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        System.out.format("Operation name: %s\n", datasetFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        Dataset datasetResponse = datasetFuture.get(120, TimeUnit.SECONDS);
        System.out.println("Create Image Dataset Response");
        System.out.format("Name: %s\n", datasetResponse.getName());
        System.out.format("Display Name: %s\n", datasetResponse.getDisplayName());
        System.out.format("Metadata Schema Uri: %s\n", datasetResponse.getMetadataSchemaUri());
        System.out.format("Metadata: %s\n", datasetResponse.getMetadata());
        System.out.format("Create Time: %s\n", datasetResponse.getCreateTime());
        System.out.format("Update Time: %s\n", datasetResponse.getUpdateTime());
        System.out.format("Labels: %s\n", datasetResponse.getLabelsMap());
    }
}