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Example 61 with Dataset

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

the class CreateDataLabelingJobSpecialistPoolSample method createDataLabelingJobSpecialistPoolSample.

static void createDataLabelingJobSpecialistPoolSample(String project, String displayName, String dataset, String specialistPool, String instructionUri, String inputsSchemaUri, String annotationSpec) throws IOException {
    JobServiceSettings settings = JobServiceSettings.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 (JobServiceClient client = JobServiceClient.create(settings)) {
        JsonArray jsonAnnotationSpecs = new JsonArray();
        jsonAnnotationSpecs.add(annotationSpec);
        JsonObject jsonInputs = new JsonObject();
        jsonInputs.add("annotation_specs", jsonAnnotationSpecs);
        Value.Builder inputsBuilder = Value.newBuilder();
        JsonFormat.parser().merge(jsonInputs.toString(), inputsBuilder);
        Value inputs = inputsBuilder.build();
        String datasetName = DatasetName.of(project, location, dataset).toString();
        String specialistPoolName = SpecialistPoolName.of(project, location, specialistPool).toString();
        DataLabelingJob dataLabelingJob = DataLabelingJob.newBuilder().setDisplayName(displayName).addDatasets(datasetName).setLabelerCount(1).setInstructionUri(instructionUri).setInputsSchemaUri(inputsSchemaUri).setInputs(inputs).putAnnotationLabels("aiplatform.googleapis.com/annotation_set_name", "data_labeling_job_specialist_pool").addSpecialistPools(specialistPoolName).build();
        LocationName parent = LocationName.of(project, location);
        DataLabelingJob response = client.createDataLabelingJob(parent, dataLabelingJob);
        System.out.format("response: %s\n", response);
    }
}
Also used : JsonArray(com.google.gson.JsonArray) JobServiceSettings(com.google.cloud.aiplatform.v1.JobServiceSettings) Value(com.google.protobuf.Value) JobServiceClient(com.google.cloud.aiplatform.v1.JobServiceClient) JsonObject(com.google.gson.JsonObject) DataLabelingJob(com.google.cloud.aiplatform.v1.DataLabelingJob) LocationName(com.google.cloud.aiplatform.v1.LocationName)

Example 62 with Dataset

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

the class CreateDatasetImageSample method createDatasetImageSample.

static void createDatasetImageSample(String project, String datasetDisplayName) 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 metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/image_1.0.0.yaml";
        LocationName locationName = LocationName.of(project, location);
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetDisplayName).setMetadataSchemaUri(metadataSchemaUri).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(120, TimeUnit.SECONDS);
        System.out.println("Create Image Dataset Response");
        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());
        System.out.format("Create Time: %s\n", datasetResponse.getCreateTime());
        System.out.format("Update Time: %s\n", datasetResponse.getUpdateTime());
        System.out.format("Labels: %s\n", datasetResponse.getLabelsMap());
    }
}
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) LocationName(com.google.cloud.aiplatform.v1.LocationName)

Example 63 with Dataset

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

the class CreateDatasetSample method createDatasetSample.

static void createDatasetSample(String project, String datasetDisplayName, String metadataSchemaUri) 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";
        LocationName locationName = LocationName.of(project, location);
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetDisplayName).setMetadataSchemaUri(metadataSchemaUri).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 Response");
        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());
        System.out.format("Create Time: %s\n", datasetResponse.getCreateTime());
        System.out.format("Update Time: %s\n", datasetResponse.getUpdateTime());
        System.out.format("Labels: %s\n", datasetResponse.getLabelsMap());
    }
}
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) LocationName(com.google.cloud.aiplatform.v1.LocationName)

Example 64 with Dataset

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

the class CreateDatasetTextSample method createDatasetTextSample.

static void createDatasetTextSample(String project, String datasetDisplayName) 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 metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/text_1.0.0.yaml";
        LocationName locationName = LocationName.of(project, location);
        Dataset dataset = Dataset.newBuilder().setDisplayName(datasetDisplayName).setMetadataSchemaUri(metadataSchemaUri).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(180, TimeUnit.SECONDS);
        System.out.println("Create Text Dataset Response");
        System.out.format("\tName: %s\n", datasetResponse.getName());
        System.out.format("\tDisplay Name: %s\n", datasetResponse.getDisplayName());
        System.out.format("\tMetadata Schema Uri: %s\n", datasetResponse.getMetadataSchemaUri());
        System.out.format("\tMetadata: %s\n", datasetResponse.getMetadata());
        System.out.format("\tCreate Time: %s\n", datasetResponse.getCreateTime());
        System.out.format("\tUpdate Time: %s\n", datasetResponse.getUpdateTime());
        System.out.format("\tLabels: %s\n", datasetResponse.getLabelsMap());
    }
}
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) LocationName(com.google.cloud.aiplatform.v1.LocationName)

Example 65 with Dataset

use of com.google.cloud.aiplatform.v1.Dataset in project OpenMUC by isc-konstanz.

the class Iec62056Connection method scanForChannels.

@Override
public List<ChannelScanInfo> scanForChannels(String settings) throws UnsupportedOperationException, ScanException, ConnectionException {
    List<DataSet> dataSets;
    DataMessage dataMessage;
    try {
        dataMessage = iec21Port.read();
    } catch (IOException e) {
        throw new ScanException(e);
    }
    dataSets = dataMessage.getDataSets();
    if (dataSets == null) {
        throw new ScanException("Read timeout.");
    }
    List<ChannelScanInfo> scanInfos = new ArrayList<>(dataSets.size());
    for (DataSet dataSet : dataSets) {
        try {
            Double.parseDouble(dataSet.getValue());
            scanInfos.add(new ChannelScanInfo(dataSet.getAddress(), "", ValueType.DOUBLE, null));
        } catch (NumberFormatException e) {
            scanInfos.add(new ChannelScanInfo(dataSet.getAddress(), "", ValueType.STRING, dataSet.getValue().length()));
        }
    }
    return scanInfos;
}
Also used : ChannelScanInfo(org.openmuc.framework.config.ChannelScanInfo) ScanException(org.openmuc.framework.config.ScanException) DataSet(org.openmuc.j62056.DataSet) DataMessage(org.openmuc.j62056.DataMessage) ArrayList(java.util.ArrayList) IOException(java.io.IOException)

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