use of com.google.cloud.aiplatform.v1.ImportDataOperationMetadata in project java-datalabeling by googleapis.
the class ImportData method importData.
// Import data to an existing dataset.
static void importData(String datasetName, String gcsSourceUri) throws IOException {
// String datasetName = DataLabelingServiceClient.formatDatasetName(
// "YOUR_PROJECT_ID", "YOUR_DATASETS_UUID");
// String gcsSourceUri = "gs://YOUR_BUCKET_ID/path_to_data";
// [END datalabeling_import_data_beta]
String endpoint = System.getenv("DATALABELING_ENDPOINT");
if (endpoint == null) {
endpoint = DataLabelingServiceSettings.getDefaultEndpoint();
}
// [START datalabeling_import_data_beta]
DataLabelingServiceSettings settings = DataLabelingServiceSettings.newBuilder().setEndpoint(endpoint).build();
try (DataLabelingServiceClient dataLabelingServiceClient = DataLabelingServiceClient.create(settings)) {
GcsSource gcsSource = GcsSource.newBuilder().setInputUri(gcsSourceUri).setMimeType("text/csv").build();
InputConfig inputConfig = InputConfig.newBuilder().setDataType(// DataTypes: AUDIO, IMAGE, VIDEO, TEXT
DataType.IMAGE).setGcsSource(gcsSource).build();
ImportDataRequest importDataRequest = ImportDataRequest.newBuilder().setName(datasetName).setInputConfig(inputConfig).build();
OperationFuture<ImportDataOperationResponse, ImportDataOperationMetadata> operation = dataLabelingServiceClient.importDataAsync(importDataRequest);
ImportDataOperationResponse response = operation.get();
System.out.format("Imported items: %d\n", response.getImportCount());
} catch (IOException | InterruptedException | ExecutionException e) {
e.printStackTrace();
}
}
use of com.google.cloud.aiplatform.v1.ImportDataOperationMetadata in project java-aiplatform by googleapis.
the class ImportDataImageObjectDetectionSample method importDataImageObjectDetectionSample.
static void importDataImageObjectDetectionSample(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/" + "image_bounding_box_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 Image Object Detection Response: %s\n", importDataResponse.toString());
}
}
use of com.google.cloud.aiplatform.v1.ImportDataOperationMetadata in project java-aiplatform by googleapis.
the class ImportDataTextClassificationSingleLabelSample method importDataTextClassificationSingleLabelSample.
static void importDataTextClassificationSingleLabelSample(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_classification_single_label_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 Classification Response: %s\n", importDataResponse.toString());
}
}
use of com.google.cloud.aiplatform.v1.ImportDataOperationMetadata in project java-aiplatform by googleapis.
the class ImportDataTextSentimentAnalysisSample method importDataTextSentimentAnalysisSample.
static void importDataTextSentimentAnalysisSample(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_sentiment_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 Sentiment Analysis Response: %s\n", importDataResponse.toString());
}
}
use of com.google.cloud.aiplatform.v1.ImportDataOperationMetadata in project java-aiplatform by googleapis.
the class ImportDataVideoClassificationSample method importDataVideoClassification.
static void importDataVideoClassification(String gcsSourceUri, String project, String datasetId) throws IOException, ExecutionException, InterruptedException, 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/" + "video_classification_io_format_1.0.0.yaml";
GcsSource.Builder gcsSource = GcsSource.newBuilder();
gcsSource.addUris(gcsSourceUri);
DatasetName datasetName = DatasetName.of(project, location, datasetId);
List<ImportDataConfig> importDataConfigs = Collections.singletonList(ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri(importSchemaUri).build());
OperationFuture<ImportDataResponse, ImportDataOperationMetadata> importDataResponseFuture = datasetServiceClient.importDataAsync(datasetName, importDataConfigs);
System.out.format("Operation name: %s\n", importDataResponseFuture.getInitialFuture().get().getName());
System.out.println("Waiting for operation to finish...");
ImportDataResponse importDataResponse = importDataResponseFuture.get(1800, TimeUnit.SECONDS);
System.out.format("Import Data Video Classification Response: %s\n", importDataResponse.toString());
}
}
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