Examples with Dataset com.google.cloud.automl.v1beta1.Dataset used on opensource projects

Example 46 with Dataset

use of com.google.cloud.automl.v1beta1.Dataset in project idempiere by idempiere.

the class GetListLookup method getData.

/* (non-Javadoc)
	 * @see org.compiere.model.Lookup#getData(boolean, boolean, boolean, boolean, boolean)
	 */
@Override
public ArrayList<Object> getData(boolean mandatory, boolean onlyValidated, boolean onlyActive, boolean temporary, boolean shortlist) {
    ClassLoader cl = Thread.currentThread().getContextClassLoader();
    SOAPConnectionFactory cf;
    try {
        Thread.currentThread().setContextClassLoader(getClass().getClassLoader());
        dataMap = new LinkedHashMap<Object, NamePair>();
        cf = SOAPConnectionFactory.newInstance();
        SOAPConnection conn = cf.createConnection();
        // Create a SOAPMessage instance
        MessageFactory mf = MessageFactory.newInstance();
        SOAPMessage message = mf.createMessage();
        // Create a SOAP envelope and body
        SOAPPart part = message.getSOAPPart();
        SOAPEnvelope env = part.getEnvelope();
        SOAPBody body = env.getBody();
        ModelGetListRequestDocument getListDocument = ModelGetListRequestDocument.Factory.newInstance();
        ModelGetListRequest getListRequest = getListDocument.addNewModelGetListRequest();
        getListRequest.setADLoginRequest(login);
        ModelGetList getList = getListRequest.addNewModelGetList();
        getList.setFilter(filter);
        getList.setServiceType(serviceType);
        body.addDocument((Document) getListDocument.getDomNode());
        // Invoke the service endpoint
        URL endpoint = new URL(endPoint);
        SOAPMessage responseMsg = null;
        try {
            responseMsg = conn.call(message, endpoint);
        } finally {
            conn.close();
        }
        if (responseMsg != null && responseMsg.getSOAPBody() != null) {
            if (responseMsg.getSOAPBody().hasFault()) {
                throw new RuntimeException(responseMsg.getSOAPBody().getFault().getFaultString());
            }
            WindowTabDataDocument responseDoc = WindowTabDataDocument.Factory.parse(responseMsg.getSOAPBody().getFirstChild().getFirstChild());
            WindowTabData windowTabData = responseDoc.getWindowTabData();
            if (windowTabData.isSetError()) {
                throw new RuntimeException(windowTabData.getError());
            }
            DataSet dataset = windowTabData.getDataSet();
            DataRow[] dataRows = dataset.getDataRowArray();
            for (DataRow dataRow : dataRows) {
                DataField[] dataFields = dataRow.getFieldArray();
                String key = null;
                String display = null;
                for (DataField dataField : dataFields) {
                    if (dataField.getColumn().equals(keyColumn)) {
                        key = dataField.getVal();
                    } else if (dataField.getColumn().equals(displayColumn)) {
                        display = dataField.getVal();
                    }
                }
                if (key != null && display != null) {
                    dataMap.put(key, new ValueNamePair(key, display));
                }
            }
        }
    } catch (Exception e) {
        if (e instanceof RuntimeException)
            throw (RuntimeException) e;
        else
            throw new RuntimeException(e.getLocalizedMessage(), e);
    } finally {
        Thread.currentThread().setContextClassLoader(cl);
    }
    return new ArrayList<Object>(dataMap.values());
}

Example 47 with Dataset

use of com.google.cloud.automl.v1beta1.Dataset in project olca-modules by GreenDelta.

the class DataSetIterator method next.

@Override
public DataSet next() {
    DataSet current = next;
    moveNext();
    return current;
}

Example 48 with Dataset

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

the class ImportDataImageClassificationSampleTest method setUp.

@Before
public void setUp() throws IOException, InterruptedException, ExecutionException, TimeoutException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        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("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(120, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}

Example 49 with Dataset

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

the class ImportDataVideoActionRecognitionSampleTest method setUp.

@Before
public void setUp() throws IOException, InterruptedException, ExecutionException, TimeoutException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml";
        LocationName locationName = LocationName.of(PROJECT, LOCATION);
        Dataset dataset = Dataset.newBuilder().setDisplayName("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(300, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}

Example 50 with Dataset

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

the class ImportDataVideoClassificationSampleTest method setUp.

@Before
public void setUp() throws IOException, InterruptedException, ExecutionException, TimeoutException {
    bout = new ByteArrayOutputStream();
    out = new PrintStream(bout);
    originalPrintStream = System.out;
    System.setOut(out);
    // create a temp dataset for importing data
    DatasetServiceSettings datasetServiceSettings = DatasetServiceSettings.newBuilder().setEndpoint("us-central1-aiplatform.googleapis.com:443").build();
    try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create(datasetServiceSettings)) {
        String metadataSchemaUri = "gs://google-cloud-aiplatform/schema/dataset/metadata/video_1.0.0.yaml";
        LocationName locationName = LocationName.of(PROJECT, LOCATION);
        Dataset dataset = Dataset.newBuilder().setDisplayName("test_dataset_display_name").setMetadataSchemaUri(metadataSchemaUri).build();
        OperationFuture<Dataset, CreateDatasetOperationMetadata> datasetFuture = datasetServiceClient.createDatasetAsync(locationName, dataset);
        Dataset datasetResponse = datasetFuture.get(300, TimeUnit.SECONDS);
        String[] datasetValues = datasetResponse.getName().split("/");
        datasetId = datasetValues[datasetValues.length - 1];
    }
}