Examples with Dataset com.google.cloud.aiplatform.v1.Dataset used on opensource projects

Example 46 with Dataset

use of com.google.cloud.aiplatform.v1.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.v1.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.v1.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.v1.Dataset in project java-aiplatform by googleapis.

the class DeleteDatasetSample method deleteDatasetSample.

static void deleteDatasetSample(String project, String datasetId) 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";
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        OperationFuture<Empty, DeleteOperationMetadata> operationFuture = datasetServiceClient.deleteDatasetAsync(datasetName);
        System.out.format("Operation name: %s\n", operationFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        operationFuture.get(300, TimeUnit.SECONDS);
        System.out.format("Deleted Dataset.");
    }
}

Example 50 with Dataset

use of com.google.cloud.aiplatform.v1.Dataset in project java-aiplatform by googleapis.

the class ImportDataTextEntityExtractionSample method importDataTextEntityExtractionSample.

static void importDataTextEntityExtractionSample(String project, String datasetId, String gcsSourceUri) 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 importSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "text_extraction_io_format_1.0.0.yaml";
        GcsSource.Builder gcsSource = GcsSource.newBuilder();
        gcsSource.addUris(gcsSourceUri);
        DatasetName datasetName = DatasetName.of(project, location, datasetId);
        List<ImportDataConfig> importDataConfigList = Collections.singletonList(ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri(importSchemaUri).build());
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataResponseFuture = datasetServiceClient.importDataAsync(datasetName, importDataConfigList);
        System.out.format("Operation name: %s\n", importDataResponseFuture.getInitialFuture().get().getName());
        System.out.println("Waiting for operation to finish...");
        ImportDataResponse importDataResponse = importDataResponseFuture.get(300, TimeUnit.SECONDS);
        System.out.format("Import Data Text Entity Extraction Response: %s\n", importDataResponse.toString());
    }
}