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Example 11 with Dataset

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

the class CreateDatasetTabularBigquerySample method createDatasetTableBigquery.

static void createDatasetTableBigquery(String project, String bigqueryDisplayName, String bigqueryUri) throws IOException, ExecutionException, InterruptedException, TimeoutException {
    DatasetServiceSettings settings = 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(settings)) {
        String location = "us-central1";
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/tables_1.0.0.yaml";
        LocationName locationName = LocationName.of(project, location);
        String jsonString = "{\"input_config\": {\"bigquery_source\": {\"uri\": \"" + bigqueryUri + "\"}}}";
        Value.Builder metaData = Value.newBuilder();
        JsonFormat.parser().merge(jsonString, metaData);
        Dataset dataset = Dataset.newBuilder().setDisplayName(bigqueryDisplayName).setMetadataSchemaUri(metadataSchemaUri).setMetadata(metaData).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(300, TimeUnit.SECONDS);
        System.out.println("Create Dataset Table Bigquery sample");
        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());
    }
}
Also used : DatasetServiceSettings(com.google.cloud.aiplatform.v1.DatasetServiceSettings) CreateDatasetOperationMetadata(com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata) Dataset(com.google.cloud.aiplatform.v1.Dataset) DatasetServiceClient(com.google.cloud.aiplatform.v1.DatasetServiceClient) Value(com.google.protobuf.Value) LocationName(com.google.cloud.aiplatform.v1.LocationName)

Example 12 with Dataset

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

the class CreateDatasetTabularGcsSample method createDatasetTableGcs.

static void createDatasetTableGcs(String project, String datasetDisplayName, String gcsSourceUri) throws IOException, ExecutionException, InterruptedException, TimeoutException {
    DatasetServiceSettings settings = 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(settings)) {
        String location = "us-central1";
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/tables_1.0.0.yaml";
        LocationName locationName = LocationName.of(project, location);
        String jsonString = "{\"input_config\": {\"gcs_source\": {\"uri\": [\"" + gcsSourceUri + "\"]}}}";
        Value.Builder metaData = Value.newBuilder();
        JsonFormat.parser().merge(jsonString, metaData);
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetDisplayName).setMetadataSchemaUri(metadataSchemaUri).setMetadata(metaData).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(300, TimeUnit.SECONDS);
        System.out.println("Create Dataset Table GCS sample");
        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());
    }
}
Also used : DatasetServiceSettings(com.google.cloud.aiplatform.v1.DatasetServiceSettings) CreateDatasetOperationMetadata(com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata) Dataset(com.google.cloud.aiplatform.v1.Dataset) DatasetServiceClient(com.google.cloud.aiplatform.v1.DatasetServiceClient) Value(com.google.protobuf.Value) LocationName(com.google.cloud.aiplatform.v1.LocationName)

Example 13 with Dataset

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

the class DatasetServiceClientTest method listDataItemsTest.

@Test
public void listDataItemsTest() throws Exception {
    DataItem responsesElement = DataItem.newBuilder().build();
    ListDataItemsResponse expectedResponse = ListDataItemsResponse.newBuilder().setNextPageToken("").addAllDataItems(Arrays.asList(responsesElement)).build();
    mockDatasetService.addResponse(expectedResponse);
    DatasetName parent = DatasetName.of("[PROJECT]", "[LOCATION]", "[DATASET]");
    ListDataItemsPagedResponse pagedListResponse = client.listDataItems(parent);
    List<DataItem> resources = Lists.newArrayList(pagedListResponse.iterateAll());
    Assert.assertEquals(1, resources.size());
    Assert.assertEquals(expectedResponse.getDataItemsList().get(0), resources.get(0));
    List<AbstractMessage> actualRequests = mockDatasetService.getRequests();
    Assert.assertEquals(1, actualRequests.size());
    ListDataItemsRequest actualRequest = ((ListDataItemsRequest) actualRequests.get(0));
    Assert.assertEquals(parent.toString(), actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}
Also used : AbstractMessage(com.google.protobuf.AbstractMessage) ListDataItemsPagedResponse(com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDataItemsPagedResponse) Test(org.junit.Test)

Example 14 with Dataset

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

the class DatasetServiceClientTest method listDatasetsTest.

@Test
public void listDatasetsTest() throws Exception {
    Dataset responsesElement = Dataset.newBuilder().build();
    ListDatasetsResponse expectedResponse = ListDatasetsResponse.newBuilder().setNextPageToken("").addAllDatasets(Arrays.asList(responsesElement)).build();
    mockDatasetService.addResponse(expectedResponse);
    LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
    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.toString(), actualRequest.getParent());
    Assert.assertTrue(channelProvider.isHeaderSent(ApiClientHeaderProvider.getDefaultApiClientHeaderKey(), GaxGrpcProperties.getDefaultApiClientHeaderPattern()));
}
Also used : ListDatasetsPagedResponse(com.google.cloud.aiplatform.v1beta1.DatasetServiceClient.ListDatasetsPagedResponse) AbstractMessage(com.google.protobuf.AbstractMessage) Test(org.junit.Test)

Example 15 with Dataset

use of com.google.cloud.aiplatform.v1beta1.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.v1beta1.DatasetServiceClient.ListAnnotationsPagedResponse) Test(org.junit.Test)

Aggregations

IOException (java.io.IOException)14 DatasetServiceClient (com.google.cloud.aiplatform.v1beta1.DatasetServiceClient)10 DatasetServiceSettings (com.google.cloud.aiplatform.v1beta1.DatasetServiceSettings)10 ByteArrayOutputStream (java.io.ByteArrayOutputStream)10 PrintStream (java.io.PrintStream)10 Before (org.junit.Before)10 Dataset (com.google.cloud.datalabeling.v1beta1.Dataset)9 ArrayList (java.util.ArrayList)9 AutoMlClient (com.google.cloud.automl.v1.AutoMlClient)8 Dataset (com.google.cloud.automl.v1.Dataset)8 LocationName (com.google.cloud.aiplatform.v1.LocationName)7 LocationName (com.google.cloud.automl.v1.LocationName)7 DataLabelingServiceClient (com.google.cloud.datalabeling.v1beta1.DataLabelingServiceClient)7 ProjectName (com.google.cloud.datalabeling.v1beta1.ProjectName)7 After (org.junit.After)7 CreateDatasetOperationMetadata (com.google.cloud.aiplatform.v1.CreateDatasetOperationMetadata)6 Dataset (com.google.cloud.aiplatform.v1.Dataset)6 DatasetServiceClient (com.google.cloud.aiplatform.v1.DatasetServiceClient)6 DatasetServiceSettings (com.google.cloud.aiplatform.v1.DatasetServiceSettings)6 OperationMetadata (com.google.cloud.automl.v1.OperationMetadata)6