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Example 51 with Dataset

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

the class ImportDataVideoActionRecognitionSample method importDataVideoActionRecognitionSample.

static void importDataVideoActionRecognitionSample(String project, String datasetId, String gcsSourceUri) throws IOException, ExecutionException, InterruptedException {
    DatasetServiceSettings settings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    String location = "us-central1";
    // the "close" method on the client to safely clean up any remaining background resources.
    try (DatasetServiceClient client = DatasetServiceClient.create(settings)) {
        GcsSource gcsSource = GcsSource.newBuilder().addUris(gcsSourceUri).build();
        ImportDataConfig importConfig0 = ImportDataConfig.newBuilder().setGcsSource(gcsSource).setImportSchemaUri("gs://google-cloud-aiplatform/schema/dataset/ioformat/" + "video_action_recognition_io_format_1.0.0.yaml").build();
        List<ImportDataConfig> importConfigs = new ArrayList<>();
        importConfigs.add(importConfig0);
        DatasetName name = DatasetName.of(project, location, datasetId);
        OperationFuture<ImportDataResponse, ImportDataOperationMetadata> response = client.importDataAsync(name, importConfigs);
        // You can use OperationFuture.getInitialFuture to get a future representing the initial
        // response to the request, which contains information while the operation is in progress.
        System.out.format("Operation name: %s\n", response.getInitialFuture().get().getName());
        // OperationFuture.get() will block until the operation is finished.
        ImportDataResponse importDataResponse = response.get();
        System.out.format("importDataResponse: %s\n", importDataResponse);
    }
}
Also used : ImportDataResponse(com.google.cloud.aiplatform.v1.ImportDataResponse) GcsSource(com.google.cloud.aiplatform.v1.GcsSource) ImportDataConfig(com.google.cloud.aiplatform.v1.ImportDataConfig) DatasetServiceSettings(com.google.cloud.aiplatform.v1.DatasetServiceSettings) DatasetName(com.google.cloud.aiplatform.v1.DatasetName) DatasetServiceClient(com.google.cloud.aiplatform.v1.DatasetServiceClient) ArrayList(java.util.ArrayList) ImportDataOperationMetadata(com.google.cloud.aiplatform.v1.ImportDataOperationMetadata)

Example 52 with Dataset

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

the class ImportDataVideoObjectTrackingSample method importDataVideObjectTracking.

static void importDataVideObjectTracking(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_object_tracking_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(300, TimeUnit.SECONDS);
        System.out.format("Import Data Video Object Tracking Response: %s\n", importDataResponse.toString());
    }
}
Also used : ImportDataResponse(com.google.cloud.aiplatform.v1.ImportDataResponse) GcsSource(com.google.cloud.aiplatform.v1.GcsSource) ImportDataConfig(com.google.cloud.aiplatform.v1.ImportDataConfig) DatasetServiceSettings(com.google.cloud.aiplatform.v1.DatasetServiceSettings) DatasetName(com.google.cloud.aiplatform.v1.DatasetName) DatasetServiceClient(com.google.cloud.aiplatform.v1.DatasetServiceClient) ImportDataOperationMetadata(com.google.cloud.aiplatform.v1.ImportDataOperationMetadata)

Example 53 with Dataset

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

the class ImportDataImageClassificationSample method importDataImageClassificationSample.

static void importDataImageClassificationSample(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_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 Image Classification Response: %s\n", importDataResponse.toString());
    }
}
Also used : ImportDataResponse(com.google.cloud.aiplatform.v1.ImportDataResponse) GcsSource(com.google.cloud.aiplatform.v1.GcsSource) ImportDataConfig(com.google.cloud.aiplatform.v1.ImportDataConfig) DatasetServiceSettings(com.google.cloud.aiplatform.v1.DatasetServiceSettings) DatasetName(com.google.cloud.aiplatform.v1.DatasetName) DatasetServiceClient(com.google.cloud.aiplatform.v1.DatasetServiceClient) ImportDataOperationMetadata(com.google.cloud.aiplatform.v1.ImportDataOperationMetadata)

Example 54 with Dataset

use of com.google.cloud.aiplatform.v1.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()));
}
Also used : ListDatasetsPagedResponse(com.google.cloud.aiplatform.v1.DatasetServiceClient.ListDatasetsPagedResponse) AbstractMessage(com.google.protobuf.AbstractMessage) Test(org.junit.Test)

Example 55 with Dataset

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

the class DatasetServiceClientTest method listAnnotationsTest.

@Test
public void listAnnotationsTest() throws Exception {
    Annotation responsesElement = Annotation.newBuilder().build();
    ListAnnotationsResponse expectedResponse = ListAnnotationsResponse.newBuilder().setNextPageToken("").addAllAnnotations(Arrays.asList(responsesElement)).build();
    mockDatasetService.addResponse(expectedResponse);
    DataItemName parent = DataItemName.of("[PROJECT]", "[LOCATION]", "[DATASET]", "[DATA_ITEM]");
    ListAnnotationsPagedResponse pagedListResponse = client.listAnnotations(parent);
    List<Annotation> resources = Lists.newArrayList(pagedListResponse.iterateAll());
    Assert.assertEquals(1, resources.size());
    Assert.assertEquals(expectedResponse.getAnnotationsList().get(0), resources.get(0));
    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    ListAnnotationsRequest actualRequest = ((ListAnnotationsRequest) actualRequests.get(0));
    Assert.assertEquals(parent.toString(), actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}
Also used : AbstractMessage(com.google.protobuf.AbstractMessage) ListAnnotationsPagedResponse(com.google.cloud.aiplatform.v1.DatasetServiceClient.ListAnnotationsPagedResponse) Test(org.junit.Test)

Aggregations

DatasetServiceClient (com.google.cloud.aiplatform.v1.DatasetServiceClient)15 DatasetServiceSettings (com.google.cloud.aiplatform.v1.DatasetServiceSettings)15 LocationName (com.google.cloud.aiplatform.v1.LocationName)14 IOException (java.io.IOException)14 GcsSource (com.google.cloud.aiplatform.v1.GcsSource)11 ByteArrayOutputStream (java.io.ByteArrayOutputStream)10 PrintStream (java.io.PrintStream)10 ArrayList (java.util.ArrayList)10 Before (org.junit.Before)10 DatasetName (com.google.cloud.aiplatform.v1.DatasetName)9 ImportDataConfig (com.google.cloud.aiplatform.v1.ImportDataConfig)8 ImportDataOperationMetadata (com.google.cloud.aiplatform.v1.ImportDataOperationMetadata)8 ImportDataResponse (com.google.cloud.aiplatform.v1.ImportDataResponse)8 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)8 Dataset (com.google.cloud.automl.v1.Dataset)8 LocationName (com.google.cloud.automl.v1.LocationName)7 Dataset (com.google.cloud.datalabeling.v1beta1.Dataset)7 CreateDatasetOperationMetadata (com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)6 Dataset (com.google.cloud.aiplatform.v1.Dataset)6 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)6