use of com.google.cloud.translate.v3.LocationName in project java-cloudbuild by googleapis.
the class CloudBuildClientTest method createWorkerPoolExceptionTest.
@Test
public void createWorkerPoolExceptionTest() throws Exception {
StatusRuntimeException exception = new StatusRuntimeException(io.grpc.Status.INVALID_ARGUMENT);
mockCloudBuild.addException(exception);
try {
LocationName parent = LocationName.of("[PROJECT]", "[LOCATION]");
WorkerPool workerPool = WorkerPool.newBuilder().build();
String workerPoolId = "workerPoolId-46320779";
client.createWorkerPoolAsync(parent, workerPool, workerPoolId).get();
Assert.fail("No exception raised");
} catch (ExecutionException e) {
Assert.assertEquals(InvalidArgumentException.class, e.getCause().getClass());
InvalidArgumentException apiException = ((InvalidArgumentException) e.getCause());
Assert.assertEquals(StatusCode.Code.INVALID_ARGUMENT, apiException.getStatusCode().getCode());
}
}
use of com.google.cloud.translate.v3.LocationName in project java-automl by googleapis.
the class LanguageTextClassificationCreateDataset method createDataset.
// Create a dataset
static void createDataset(String projectId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Specify the classification type
// Types:
// MultiLabel: Multiple labels are allowed for one example.
// MultiClass: At most one label is allowed per example.
ClassificationType classificationType = ClassificationType.MULTILABEL;
// Specify the text classification type for the dataset.
TextClassificationDatasetMetadata metadata = TextClassificationDatasetMetadata.newBuilder().setClassificationType(classificationType).build();
Dataset dataset = Dataset.newBuilder().setDisplayName(displayName).setTextClassificationDatasetMetadata(metadata).build();
OperationFuture<Dataset, OperationMetadata> future = client.createDatasetAsync(projectLocation, dataset);
Dataset createdDataset = future.get();
// Display the dataset information.
System.out.format("Dataset name: %s\n", createdDataset.getName());
// To get the dataset id, you have to parse it out of the `name` field. As dataset Ids are
// required for other methods.
// Name Form: `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`
String[] names = createdDataset.getName().split("/");
String datasetId = names[names.length - 1];
System.out.format("Dataset id: %s\n", datasetId);
}
}
use of com.google.cloud.translate.v3.LocationName in project java-automl by googleapis.
the class ListOperationStatus method listOperationStatus.
// Get the status of an operation
static void listOperationStatus(String projectId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Create list operations request.
ListOperationsRequest listrequest = ListOperationsRequest.newBuilder().setName(projectLocation.toString()).build();
// List all the operations names available in the region by applying filter.
for (Operation operation : client.getOperationsClient().listOperations(listrequest).iterateAll()) {
System.out.println("Operation details:");
System.out.format("\tName: %s\n", operation.getName());
System.out.format("\tMetadata Type Url: %s\n", operation.getMetadata().getTypeUrl());
System.out.format("\tDone: %s\n", operation.getDone());
if (operation.hasResponse()) {
System.out.format("\tResponse Type Url: %s\n", operation.getResponse().getTypeUrl());
}
if (operation.hasError()) {
System.out.println("\tResponse:");
System.out.format("\t\tError code: %s\n", operation.getError().getCode());
System.out.format("\t\tError message: %s\n\n", operation.getError().getMessage());
}
}
}
}
use of com.google.cloud.translate.v3.LocationName in project java-automl by googleapis.
the class VisionClassificationCreateModel method createModel.
// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Set model metadata.
ImageClassificationModelMetadata metadata = ImageClassificationModelMetadata.newBuilder().setTrainBudgetMilliNodeHours(24000).build();
Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setImageClassificationModelMetadata(metadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
// OperationFuture.get() will block until the model is created, which may take several hours.
// 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("Training operation name: %s\n", future.getInitialFuture().get().getName());
System.out.println("Training started...");
}
}
use of com.google.cloud.translate.v3.LocationName in project java-automl by googleapis.
the class VideoObjectTrackingCreateModel method createModel.
// Create a model
static void createModel(String projectId, String datasetId, String displayName) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, "us-central1");
// Set model metadata.
VideoObjectTrackingModelMetadata metadata = VideoObjectTrackingModelMetadata.newBuilder().build();
Model model = Model.newBuilder().setDisplayName(displayName).setDatasetId(datasetId).setVideoObjectTrackingModelMetadata(metadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> future = client.createModelAsync(projectLocation, model);
// OperationFuture.get() will block until the model is created, which may take several hours.
// 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("Training operation name: %s%n", future.getInitialFuture().get().getName());
System.out.println("Training started...");
}
}
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