use of com.google.cloud.automl.v1beta1.Dataset in project idempiere by idempiere.
the class ModelADServiceImpl method queryData.
public WindowTabDataDocument queryData(ModelCRUDRequestDocument req) {
Trx trx = null;
try {
getCompiereService().connect();
CompiereService m_cs = getCompiereService();
WindowTabDataDocument ret = WindowTabDataDocument.Factory.newInstance();
WindowTabData resp = ret.addNewWindowTabData();
ModelCRUD modelCRUD = req.getModelCRUDRequest().getModelCRUD();
String serviceType = modelCRUD.getServiceType();
ADLoginRequest reqlogin = req.getModelCRUDRequest().getADLoginRequest();
String err = login(reqlogin, webServiceName, "queryData", serviceType);
if (err != null && err.length() > 0) {
resp.setError(err);
return ret;
}
// Validate parameters vs service type
validateCRUD(modelCRUD);
Properties ctx = m_cs.getCtx();
String tableName = modelCRUD.getTableName();
Map<String, Object> reqCtx = getRequestCtx();
MWebServiceType m_webservicetype = getWebServiceType();
// get the PO for the tablename and record ID
MTable table = MTable.get(ctx, tableName);
if (table == null)
throw new IdempiereServiceFault("Web service type " + m_webservicetype.getValue() + ": table " + tableName + " not found", new QName("queryData"));
int roleid = reqlogin.getRoleID();
MRole role = MRole.get(ctx, roleid);
// start a trx
String trxName = localTrxName;
if (trxName == null) {
trxName = Trx.createTrxName("ws_modelQueryData");
manageTrx = true;
}
trx = Trx.get(trxName, true);
if (manageTrx)
trx.setDisplayName(getClass().getName() + "_" + webServiceName + "_queryData");
StringBuilder sqlBuilder = new StringBuilder(role.addAccessSQL("SELECT * FROM " + tableName, tableName, true, MRole.SQL_RO));
ArrayList<Object> sqlParaList = new ArrayList<Object>();
PO holderPo = table.getPO(0, trxName);
POInfo poinfo = POInfo.getPOInfo(ctx, table.getAD_Table_ID());
if (modelCRUD.getDataRow() != null) {
DataRow dr = modelCRUD.getDataRow();
DataField[] fields = dr.getFieldArray();
StandardResponseDocument stdRet = StandardResponseDocument.Factory.newInstance();
StandardResponse stdResp = stdRet.addNewStandardResponse();
StandardResponseDocument retResp = invokeWSValidator(m_webservicetype, IWSValidator.TIMING_BEFORE_PARSE, holderPo, fields, trx, reqCtx, stdResp, stdRet);
if (retResp != null) {
throw new IdempiereServiceFault(retResp.getStandardResponse().getError(), new QName("queryData"));
}
retResp = scanFields(fields, m_webservicetype, holderPo, poinfo, trx, stdResp, stdRet);
if (retResp != null) {
throw new IdempiereServiceFault(retResp.getStandardResponse().getError(), new QName("queryData"));
}
for (DataField field : modelCRUD.getDataRow().getFieldArray()) {
if (m_webservicetype.isInputColumnNameAllowed(field.getColumn())) {
// Jan Thielemann Solution for query using the sentence like
X_WS_WebServiceFieldInput inputField = m_webservicetype.getFieldInput(field.getColumn());
I_AD_Column col = inputField.getAD_Column();
String sqlType = DisplayType.getSQLDataType(col.getAD_Reference_ID(), col.getColumnName(), col.getFieldLength());
if (sqlType.contains("CHAR"))
sqlBuilder.append(" AND ").append(field.getColumn()).append(" LIKE ?");
else
sqlBuilder.append(" AND ").append(field.getColumn()).append("=?");
sqlParaList.add(holderPo.get_Value(field.getColumn()));
// End Jan Thielemann Solution for query using the sentence like
} else if (m_webservicetype.getFieldInput(field.getColumn()) == null) {
// If not even ctx variable column
throw new IdempiereServiceFault("Web service type " + m_webservicetype.getValue() + ": input column " + field.getColumn() + " not allowed", new QName("queryData"));
}
}
}
if (modelCRUD.getFilter() != null && modelCRUD.getFilter().length() > 0) {
String sql = parseSQL(" WHERE " + modelCRUD.getFilter(), sqlParaList, holderPo, poinfo, reqCtx);
sqlBuilder.append(" AND ").append(sql.substring(6));
}
int cnt = 0;
int rowCnt = 0;
int offset = modelCRUD.getOffset();
int limit = modelCRUD.getLimit();
PreparedStatement pstmtquery = null;
ResultSet rsquery = null;
try {
pstmtquery = DB.prepareStatement(sqlBuilder.toString(), trxName);
DB.setParameters(pstmtquery, sqlParaList);
rsquery = pstmtquery.executeQuery();
// Angelo Dabala' (genied) must create just one DataSet, moved outside of the while loop
DataSet ds = resp.addNewDataSet();
while (rsquery.next()) {
cnt++;
if ((offset >= cnt) || (limit > 0 && offset + limit < cnt))
continue;
rowCnt++;
DataRow dr = ds.addNewDataRow();
for (int i = 0; i < poinfo.getColumnCount(); i++) {
String columnName = poinfo.getColumnName(i);
if (m_webservicetype.isOutputColumnNameAllowed(columnName)) {
DataField dfid = dr.addNewField();
dfid.setColumn(columnName);
if (rsquery.getObject(columnName) instanceof byte[])
dfid.setVal(new String(Base64.encodeBase64(rsquery.getBytes(columnName))));
else
dfid.setVal(rsquery.getString(columnName));
}
}
}
} catch (Exception e) {
log.log(Level.SEVERE, e.getLocalizedMessage(), e);
throw new IdempiereServiceFault(e);
} finally {
DB.close(rsquery, pstmtquery);
rsquery = null;
pstmtquery = null;
}
resp.setSuccess(true);
resp.setRowCount(rowCnt);
resp.setNumRows(rowCnt);
resp.setTotalRows(cnt);
resp.setStartRow(offset);
return ret;
} finally {
if (manageTrx && trx != null)
trx.close();
getCompiereService().disconnect();
}
}
use of com.google.cloud.automl.v1beta1.Dataset in project idempiere by idempiere.
the class QueryDataLookup 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<Integer, KeyNamePair>();
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();
ModelCRUDRequestDocument crudDocument = ModelCRUDRequestDocument.Factory.newInstance();
ModelCRUDRequest crudRequest = crudDocument.addNewModelCRUDRequest();
crudRequest.setADLoginRequest(login);
ModelCRUD crud = crudRequest.addNewModelCRUD();
crud.setRecordID(0);
crud.setFilter(filter);
crud.setAction(ModelCRUD.Action.READ);
crud.setServiceType(serviceType);
DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance();
DocumentBuilder builder = factory.newDocumentBuilder();
Document document = builder.newDocument();
Element element = document.createElementNS("http://idempiere.org/ADInterface/1_0", "queryData");
Node domNode = document.importNode(crudDocument.getDomNode().getFirstChild(), true);
document.appendChild(element);
element.appendChild(domNode);
body.addDocument(document);
// 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) {
Integer id = Integer.valueOf(key);
dataMap.put(id, new KeyNamePair(id, 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());
}
use of com.google.cloud.automl.v1beta1.Dataset in project java-automl by googleapis.
the class ModelApi method createModel.
// [START automl_vision_create_model]
/**
* Demonstrates using the AutoML client to create a model.
*
* @param projectId the Id of the project.
* @param computeRegion the Region name.
* @param dataSetId the Id of the dataset to which model is created.
* @param modelName the Name of the model.
* @param trainBudget the Budget for training the model.
*/
static void createModel(String projectId, String computeRegion, String dataSetId, String modelName, String trainBudget) {
// Instantiates a client
try (AutoMlClient client = AutoMlClient.create()) {
// A resource that represents Google Cloud Platform location.
LocationName projectLocation = LocationName.of(projectId, computeRegion);
// Set model metadata.
ImageClassificationModelMetadata imageClassificationModelMetadata = Long.valueOf(trainBudget) == 0 ? ImageClassificationModelMetadata.newBuilder().build() : ImageClassificationModelMetadata.newBuilder().setTrainBudget(Long.valueOf(trainBudget)).build();
// Set model name and model metadata for the image dataset.
Model myModel = Model.newBuilder().setDisplayName(modelName).setDatasetId(dataSetId).setImageClassificationModelMetadata(imageClassificationModelMetadata).build();
// Create a model with the model metadata in the region.
OperationFuture<Model, OperationMetadata> response = client.createModelAsync(projectLocation, myModel);
System.out.println(String.format("Training operation name: %s", response.getInitialFuture().get().getName()));
System.out.println("Training started...");
} catch (IOException | ExecutionException | InterruptedException e) {
e.printStackTrace();
}
}
use of com.google.cloud.automl.v1beta1.Dataset in project java-automl by googleapis.
the class ImportDataset method importDataset.
// Import a dataset
static void importDataset(String projectId, String datasetId, String path) throws IOException, ExecutionException, InterruptedException, TimeoutException {
Duration totalTimeout = Duration.ofMinutes(45);
RetrySettings retrySettings = RetrySettings.newBuilder().setTotalTimeout(totalTimeout).build();
AutoMlSettings.Builder builder = AutoMlSettings.newBuilder();
builder.importDataSettings().setRetrySettings(retrySettings).build();
AutoMlSettings settings = builder.build();
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create(settings)) {
// Get the complete path of the dataset.
DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
// Get multiple Google Cloud Storage URIs to import data from
GcsSource gcsSource = GcsSource.newBuilder().addAllInputUris(Arrays.asList(path.split(","))).build();
// Import data from the input URI
InputConfig inputConfig = InputConfig.newBuilder().setGcsSource(gcsSource).build();
System.out.println("Processing import...");
// Start the import job
OperationFuture<Empty, OperationMetadata> operation = client.importDataAsync(datasetFullId, inputConfig);
System.out.format("Operation name: %s%n", operation.getName());
// If you want to wait for the operation to finish, adjust the timeout appropriately. The
// operation will still run if you choose not to wait for it to complete. You can check the
// status of your operation using the operation's name.
Empty response = operation.get(45, TimeUnit.MINUTES);
System.out.format("Dataset imported. %s%n", response);
} catch (TimeoutException e) {
System.out.println("The operation's polling period was not long enough.");
System.out.println("You can use the Operation's name to get the current status.");
System.out.println("The import job is still running and will complete as expected.");
throw e;
}
}
use of com.google.cloud.automl.v1beta1.Dataset in project java-automl by googleapis.
the class ListDatasets method listDatasets.
// List the datasets
static void listDatasets(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");
ListDatasetsRequest request = ListDatasetsRequest.newBuilder().setParent(projectLocation.toString()).build();
// List all the datasets available in the region by applying filter.
System.out.println("List of datasets:");
for (Dataset dataset : client.listDatasets(request).iterateAll()) {
// Display the dataset information
System.out.format("%nDataset name: %s%n", dataset.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 = dataset.getName().split("/");
String retrievedDatasetId = names[names.length - 1];
System.out.format("Dataset id: %s%n", retrievedDatasetId);
System.out.format("Dataset display name: %s%n", dataset.getDisplayName());
System.out.println("Dataset create time:");
System.out.format("\tseconds: %s%n", dataset.getCreateTime().getSeconds());
System.out.format("\tnanos: %s%n", dataset.getCreateTime().getNanos());
// [END automl_video_object_tracking_list_datasets_beta]
// [END automl_tables_list_datasets]
System.out.format("Video classification dataset metadata: %s%n", dataset.getVideoClassificationDatasetMetadata());
// [END automl_video_classification_list_datasets_beta]
// [START automl_video_object_tracking_list_datasets_beta]
System.out.format("Video object tracking dataset metadata: %s%n", dataset.getVideoObjectTrackingDatasetMetadata());
// [END automl_video_object_tracking_list_datasets_beta]
// [START automl_tables_list_datasets]
System.out.format("Tables dataset metadata: %s%n", dataset.getTablesDatasetMetadata());
// [START automl_video_classification_list_datasets_beta]
// [START automl_video_object_tracking_list_datasets_beta]
}
}
}
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