use of com.google.cloud.automl.v1.Dataset 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.automl.v1.Dataset in project java-automl by googleapis.
the class ExportDataset method exportDataset.
// Export a dataset to a GCS bucket
static void exportDataset(String projectId, String datasetId, String gcsUri) throws IOException, ExecutionException, InterruptedException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the complete path of the dataset.
DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
GcsDestination gcsDestination = GcsDestination.newBuilder().setOutputUriPrefix(gcsUri).build();
// Export the dataset to the output URI.
OutputConfig outputConfig = OutputConfig.newBuilder().setGcsDestination(gcsDestination).build();
System.out.println("Processing export...");
Empty response = client.exportDataAsync(datasetFullId, outputConfig).get();
System.out.format("Dataset exported. %s\n", response);
}
}
use of com.google.cloud.automl.v1.Dataset in project java-automl by googleapis.
the class GetDataset method getDataset.
// Get a dataset
static void getDataset(String projectId, String datasetId) throws IOException {
// the "close" method on the client to safely clean up any remaining background resources.
try (AutoMlClient client = AutoMlClient.create()) {
// Get the complete path of the dataset.
DatasetName datasetFullId = DatasetName.of(projectId, "us-central1", datasetId);
Dataset dataset = client.getDataset(datasetFullId);
// Display the dataset information
System.out.format("Dataset 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_language_sentiment_analysis_get_dataset]
// [END automl_language_text_classification_get_dataset]
// [END automl_translate_get_dataset]
// [END automl_vision_classification_get_dataset]
// [END automl_vision_object_detection_get_dataset]
System.out.format("Text extraction dataset metadata: %s\n", dataset.getTextExtractionDatasetMetadata());
// [END automl_language_entity_extraction_get_dataset]
// [START automl_language_sentiment_analysis_get_dataset]
System.out.format("Text sentiment dataset metadata: %s\n", dataset.getTextSentimentDatasetMetadata());
// [END automl_language_sentiment_analysis_get_dataset]
// [START automl_language_text_classification_get_dataset]
System.out.format("Text classification dataset metadata: %s\n", dataset.getTextClassificationDatasetMetadata());
// [END automl_language_text_classification_get_dataset]
// [START automl_translate_get_dataset]
System.out.println("Translation dataset metadata:");
System.out.format("\tSource language code: %s\n", dataset.getTranslationDatasetMetadata().getSourceLanguageCode());
System.out.format("\tTarget language code: %s\n", dataset.getTranslationDatasetMetadata().getTargetLanguageCode());
// [END automl_translate_get_dataset]
// [START automl_vision_classification_get_dataset]
System.out.format("Image classification dataset metadata: %s\n", dataset.getImageClassificationDatasetMetadata());
// [END automl_vision_classification_get_dataset]
// [START automl_vision_object_detection_get_dataset]
System.out.format("Image object detection dataset metadata: %s\n", dataset.getImageObjectDetectionDatasetMetadata());
// [START automl_language_entity_extraction_get_dataset]
// [START automl_language_sentiment_analysis_get_dataset]
// [START automl_language_text_classification_get_dataset]
// [START automl_translate_get_dataset]
// [START automl_vision_classification_get_dataset]
}
}
use of com.google.cloud.automl.v1.Dataset in project idempiere by idempiere.
the class ModelADServiceImpl method getList.
public WindowTabDataDocument getList(ModelGetListRequestDocument req) {
try {
getCompiereService().connect();
WindowTabDataDocument resdoc = WindowTabDataDocument.Factory.newInstance();
WindowTabData res = resdoc.addNewWindowTabData();
DataSet ds = res.addNewDataSet();
ModelGetList modelGetList = req.getModelGetListRequest().getModelGetList();
String serviceType = modelGetList.getServiceType();
int cnt = 0;
ADLoginRequest reqlogin = req.getModelGetListRequest().getADLoginRequest();
String err = login(reqlogin, webServiceName, "getList", serviceType);
if (err != null && err.length() > 0) {
res.setError(err);
res.setErrorInfo(err);
res.setSuccess(false);
return resdoc;
}
int roleid = reqlogin.getRoleID();
// Validate parameters
try {
modelGetList.setADReferenceID(validateParameter("AD_Reference_ID", modelGetList.getADReferenceID()));
} catch (XmlValueOutOfRangeException e) {
// Catch the exception when the Reference ID is not an Integer
String refUU = getUUIDValue(modelGetList.xgetADReferenceID());
if (refUU == null) {
throw e;
}
modelGetList.setADReferenceID(validateParameter("AD_Reference_ID", 0, refUU));
}
modelGetList.setFilter(validateParameter("Filter", modelGetList.getFilter()));
int ref_id = modelGetList.getADReferenceID();
String filter = modelGetList.getFilter();
if (filter == null || filter.length() == 0)
filter = "";
else
filter = " AND " + filter;
CompiereService m_cs = getCompiereService();
Properties ctx = m_cs.getCtx();
MReference ref = MReference.get(ctx, ref_id);
String sql = null;
ArrayList<String> listColumnNames = new ArrayList<String>();
PreparedStatement pstmt = null;
ResultSet rs = null;
MWebServiceType m_webservicetype = getWebServiceType();
if (MReference.VALIDATIONTYPE_ListValidation.equals(ref.getValidationType())) {
// Fill List Reference
String ad_language = Env.getAD_Language(ctx);
boolean isBaseLanguage = Env.isBaseLanguage(ad_language, "AD_Ref_List");
sql = isBaseLanguage ? "SELECT AD_Ref_List.AD_Ref_List_ID, AD_Ref_List.Value, AD_Ref_List.Name, AD_Ref_List.Description " + "FROM AD_Ref_List " + "WHERE AD_Ref_List.AD_Reference_ID=? AND AD_Ref_List.IsActive='Y' " + filter + " ORDER BY AD_Ref_List.Name" : "SELECT AD_Ref_List.AD_Ref_List_ID, AD_Ref_List.Value, AD_Ref_List_Trl.Name, AD_Ref_List_Trl.Description " + "FROM AD_Ref_List, AD_Ref_List_Trl " + "WHERE AD_Ref_List.AD_Reference_ID=? AND AD_Ref_List.IsActive='Y' AND AD_Ref_List_Trl.AD_Language=? AND AD_Ref_List.AD_Ref_List_ID=AD_Ref_List_Trl.AD_Ref_List_ID " + filter + " ORDER BY AD_Ref_List_Trl.Name";
listColumnNames.add("AD_Ref_List_ID");
listColumnNames.add("Value");
listColumnNames.add("Name");
listColumnNames.add("Description");
try {
pstmt = DB.prepareStatement(sql, null);
pstmt.setInt(1, ref_id);
if (!isBaseLanguage)
pstmt.setString(2, ad_language);
rs = pstmt.executeQuery();
} catch (SQLException e) {
res.setError(e.getMessage());
res.setErrorInfo(sql);
res.setSuccess(false);
DB.close(rs, pstmt);
rs = null;
pstmt = null;
throw new IdempiereServiceFault(e.getClass().toString() + " " + e.getMessage() + " sql=" + sql, e.getCause(), new QName("getList"));
}
} else if (MReference.VALIDATIONTYPE_TableValidation.equals(ref.getValidationType())) {
// Fill values from a reference table
MRole role = MRole.get(ctx, roleid);
MRefTable rt = MRefTable.get(ctx, ref_id);
if (rt == null || rt.get_ID() == 0)
throw new IdempiereServiceFault("Web service type " + m_webservicetype.getValue() + ": reference table " + ref_id + " not found", new QName("getList"));
MTable table = new MTable(ctx, rt.getAD_Table_ID(), null);
MColumn column = new MColumn(ctx, rt.getAD_Key(), null);
// TODO: if any value or identifier column is translated, then get them from trl table (and client has multilanguage documents enabled)
sql = "SELECT " + column.getColumnName();
listColumnNames.add(column.getColumnName());
if (rt.isValueDisplayed()) {
sql += ",Value";
listColumnNames.add("Value");
}
String sqlident = "SELECT ColumnName FROM AD_Column WHERE AD_Table_ID=? AND IsActive='Y' AND IsIdentifier='Y' ORDER BY SeqNo";
PreparedStatement pstmtident = null;
ResultSet rsident = null;
try {
pstmtident = DB.prepareStatement(sqlident, null);
pstmtident.setInt(1, rt.getAD_Table_ID());
rsident = pstmtident.executeQuery();
while (rsident.next()) {
String colnameident = rsident.getString("ColumnName");
if (rt.isValueDisplayed() && colnameident.equalsIgnoreCase("Value")) {
// Value already added
} else {
sql += "," + colnameident;
listColumnNames.add(colnameident);
}
}
} catch (Exception e) {
// ignore this exception
} finally {
DB.close(rsident, pstmtident);
rsident = null;
pstmtident = null;
}
sql += " FROM " + table.getTableName() + " WHERE IsActive='Y'";
sql = role.addAccessSQL(sql, table.getTableName(), true, true);
sql += filter;
if (rt.getWhereClause() != null && rt.getWhereClause().length() > 0)
sql += " AND " + rt.getWhereClause();
if (rt.getOrderByClause() != null && rt.getOrderByClause().length() > 0)
sql += " ORDER BY " + rt.getOrderByClause();
try {
pstmt = DB.prepareStatement(sql, null);
rs = pstmt.executeQuery();
} catch (SQLException e) {
res.setError(e.getMessage());
res.setErrorInfo(sql);
res.setSuccess(false);
DB.close(rs, pstmt);
rs = null;
pstmt = null;
throw new IdempiereServiceFault(e.getClass().toString() + " " + e.getMessage() + " sql=" + sql, e.getCause(), new QName("getList"));
}
} else {
// Don't fill - wrong type
}
if (rs != null) {
try {
while (rs.next()) {
cnt++;
// Add values to the dataset
DataRow dr = ds.addNewDataRow();
for (String listColumnName : listColumnNames) {
if (m_webservicetype.isOutputColumnNameAllowed(listColumnName)) {
DataField dfid = dr.addNewField();
dfid.setColumn(listColumnName);
dfid.setVal(rs.getString(listColumnName));
}
}
}
res.setSuccess(true);
} catch (SQLException e) {
res.setError(e.getMessage());
res.setErrorInfo(sql);
res.setSuccess(false);
throw new IdempiereServiceFault(e.getClass().toString() + " " + e.getMessage() + " sql=" + sql, e.getCause(), new QName("getList"));
} finally {
DB.close(rs, pstmt);
rs = null;
pstmt = null;
}
}
res.setRowCount(cnt);
res.setNumRows(cnt);
res.setTotalRows(cnt);
res.setStartRow(1);
return resdoc;
} finally {
getCompiereService().disconnect();
}
}
use of com.google.cloud.automl.v1.Dataset in project idempiere by idempiere.
the class ModelADServiceImpl method readData.
// updateData
public WindowTabDataDocument readData(ModelCRUDRequestDocument req) {
try {
getCompiereService().connect();
WindowTabDataDocument ret = WindowTabDataDocument.Factory.newInstance();
WindowTabData resp = ret.addNewWindowTabData();
ModelCRUD modelCRUD = req.getModelCRUDRequest().getModelCRUD();
String serviceType = modelCRUD.getServiceType();
int cnt = 0;
ADLoginRequest reqlogin = req.getModelCRUDRequest().getADLoginRequest();
String err = login(reqlogin, webServiceName, "readData", serviceType);
if (err != null && err.length() > 0) {
resp.setError(err);
return ret;
}
// Validate parameters vs service type
try {
validateCRUD(modelCRUD);
} catch (IdempiereServiceFault e) {
resp.setError(e.getMessage());
return ret;
}
CompiereService m_cs = getCompiereService();
MWebServiceType m_webservicetype = getWebServiceType();
// start a trx
String trxName = localTrxName;
Properties ctx = m_cs.getCtx();
String tableName = modelCRUD.getTableName();
String recordIDVar = modelCRUD.getRecordIDVariable();
int recordID = modelCRUD.getRecordID();
if (recordIDVar != null && recordIDVar.startsWith("@")) {
Integer retVal = (Integer) parseVariable(recordIDVar, null, null, getRequestCtx());
if (retVal == null) {
resp.setError("Cannot resolve variable: " + recordIDVar);
return ret;
}
recordID = retVal;
}
// 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("readData"));
PO po = table.getPO(recordID, trxName);
if (po == null) {
resp.setSuccess(false);
resp.setRowCount(cnt);
resp.setNumRows(cnt);
resp.setTotalRows(cnt);
resp.setStartRow(0);
return ret;
}
cnt = 1;
POInfo poinfo = POInfo.getPOInfo(ctx, table.getAD_Table_ID());
DataSet ds = resp.addNewDataSet();
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 (po.get_Value(i) != null) {
if (po.get_Value(i) instanceof byte[]) {
dfid.setVal(new String(Base64.encodeBase64((byte[]) po.get_Value(i))));
} else if (po.get_Value(i) instanceof Boolean) {
dfid.setVal((Boolean) po.get_Value(i) ? "Y" : "N");
} else {
dfid.setVal(po.get_Value(i).toString());
}
} else
dfid.setVal(null);
}
}
resp.setSuccess(true);
resp.setRowCount(cnt);
resp.setNumRows(cnt);
resp.setTotalRows(cnt);
resp.setStartRow(1);
return ret;
} finally {
getCompiereService().disconnect();
}
}
Aggregations