use of com.google.cloud.aiplatform.v1beta1.LocationName in project java-aiplatform by googleapis.
the class CreateDataLabelingJobImageSample method createDataLabelingJobImage.
static void createDataLabelingJobImage(String project, String displayName, String datasetId, String instructionUri, String annotationSpec) throws IOException {
JobServiceSettings jobServiceSettings = JobServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
// the "close" method on the client to safely clean up any remaining background resources.
try (JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings)) {
String location = "us-central1";
LocationName locationName = LocationName.of(project, location);
String jsonString = "{\"annotation_specs\": [ " + annotationSpec + "]}";
Value.Builder annotationSpecValue = Value.newBuilder();
JsonFormat.parser().merge(jsonString, annotationSpecValue);
DatasetName datasetName = DatasetName.of(project, location, datasetId);
DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().setDisplayName(displayName).setLabelerCount(1).setInstructionUri(instructionUri).setInputsSchemaUri("gs://google-cloud-aiplatform/schema/datalabelingjob/inputs/" + "image_classification.yaml").addDatasets(datasetName.toString()).setInputs(annotationSpecValue).putAnnotationLabels("aiplatform.googleapis.com/annotation_set_name", "my_test_saved_query").build();
DataLabelingJob dataLabelingJobResponse = jobServiceClient.createDataLabelingJob(locationName, dataLabelingJob);
System.out.println("Create Data Labeling Job Image Response");
System.out.format("\tName: %s\n", dataLabelingJobResponse.getName());
System.out.format("\tDisplay Name: %s\n", dataLabelingJobResponse.getDisplayName());
System.out.format("\tDatasets: %s\n", dataLabelingJobResponse.getDatasetsList());
System.out.format("\tLabeler Count: %s\n", dataLabelingJobResponse.getLabelerCount());
System.out.format("\tInstruction Uri: %s\n", dataLabelingJobResponse.getInstructionUri());
System.out.format("\tInputs Schema Uri: %s\n", dataLabelingJobResponse.getInputsSchemaUri());
System.out.format("\tInputs: %s\n", dataLabelingJobResponse.getInputs());
System.out.format("\tState: %s\n", dataLabelingJobResponse.getState());
System.out.format("\tLabeling Progress: %s\n", dataLabelingJobResponse.getLabelingProgress());
System.out.format("\tCreate Time: %s\n", dataLabelingJobResponse.getCreateTime());
System.out.format("\tUpdate Time: %s\n", dataLabelingJobResponse.getUpdateTime());
System.out.format("\tLabels: %s\n", dataLabelingJobResponse.getLabelsMap());
System.out.format("\tSpecialist Pools: %s\n", dataLabelingJobResponse.getSpecialistPoolsList());
for (Map.Entry<String, String> annotationLabelMap : dataLabelingJobResponse.getAnnotationLabelsMap().entrySet()) {
System.out.println("\tAnnotation Level");
System.out.format("\t\tkey: %s\n", annotationLabelMap.getKey());
System.out.format("\t\tvalue: %s\n", annotationLabelMap.getValue());
}
Money money = dataLabelingJobResponse.getCurrentSpend();
System.out.println("\tCurrent Spend");
System.out.format("\t\tCurrency Code: %s\n", money.getCurrencyCode());
System.out.format("\t\tUnits: %s\n", money.getUnits());
System.out.format("\t\tNanos: %s\n", money.getNanos());
}
}
use of com.google.cloud.aiplatform.v1beta1.LocationName in project java-aiplatform by googleapis.
the class CreateDataLabelingJobSample method createDataLabelingJob.
static void createDataLabelingJob(String project, String displayName, String datasetId, String instructionUri, String inputsSchemaUri, String annotationSpec) throws IOException {
JobServiceSettings jobServiceSettings = JobServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
// the "close" method on the client to safely clean up any remaining background resources.
try (JobServiceClient jobServiceClient = JobServiceClient.create(jobServiceSettings)) {
String location = "us-central1";
LocationName locationName = LocationName.of(project, location);
String jsonString = "{\"annotation_specs\": [ " + annotationSpec + "]}";
Value.Builder annotationSpecValue = Value.newBuilder();
JsonFormat.parser().merge(jsonString, annotationSpecValue);
DatasetName datasetName = DatasetName.of(project, location, datasetId);
DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().setDisplayName(displayName).setLabelerCount(1).setInstructionUri(instructionUri).setInputsSchemaUri(inputsSchemaUri).addDatasets(datasetName.toString()).setInputs(annotationSpecValue).putAnnotationLabels("aiplatform.googleapis.com/annotation_set_name", "my_test_saved_query").build();
DataLabelingJob dataLabelingJobResponse = jobServiceClient.createDataLabelingJob(locationName, dataLabelingJob);
System.out.println("Create Data Labeling Job Response");
System.out.format("\tName: %s\n", dataLabelingJobResponse.getName());
System.out.format("\tDisplay Name: %s\n", dataLabelingJobResponse.getDisplayName());
System.out.format("\tDatasets: %s\n", dataLabelingJobResponse.getDatasetsList());
System.out.format("\tLabeler Count: %s\n", dataLabelingJobResponse.getLabelerCount());
System.out.format("\tInstruction Uri: %s\n", dataLabelingJobResponse.getInstructionUri());
System.out.format("\tInputs Schema Uri: %s\n", dataLabelingJobResponse.getInputsSchemaUri());
System.out.format("\tInputs: %s\n", dataLabelingJobResponse.getInputs());
System.out.format("\tState: %s\n", dataLabelingJobResponse.getState());
System.out.format("\tLabeling Progress: %s\n", dataLabelingJobResponse.getLabelingProgress());
System.out.format("\tCreate Time: %s\n", dataLabelingJobResponse.getCreateTime());
System.out.format("\tUpdate Time: %s\n", dataLabelingJobResponse.getUpdateTime());
System.out.format("\tLabels: %s\n", dataLabelingJobResponse.getLabelsMap());
System.out.format("\tSpecialist Pools: %s\n", dataLabelingJobResponse.getSpecialistPoolsList());
for (Map.Entry<String, String> annotationLabelMap : dataLabelingJobResponse.getAnnotationLabelsMap().entrySet()) {
System.out.println("\tAnnotation Level");
System.out.format("\t\tkey: %s\n", annotationLabelMap.getKey());
System.out.format("\t\tvalue: %s\n", annotationLabelMap.getValue());
}
Money money = dataLabelingJobResponse.getCurrentSpend();
System.out.println("\tCurrent Spend");
System.out.format("\t\tCurrency Code: %s\n", money.getCurrencyCode());
System.out.format("\t\tUnits: %s\n", money.getUnits());
System.out.format("\t\tNanos: %s\n", money.getNanos());
}
}
use of com.google.cloud.aiplatform.v1beta1.LocationName 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());
}
}
use of com.google.cloud.aiplatform.v1beta1.LocationName 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());
}
}
use of com.google.cloud.aiplatform.v1beta1.LocationName 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()));
}
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