public static void detectSelectionStatusChange(
String worksheetId, Workspace workspace, Command command) {
Worksheet worksheet = workspace.getWorksheet(worksheetId);
for (Selection sel : worksheet.getSelectionManager().getAllDefinedSelection()) {
Set<String> inputColumns = new HashSet<String>(sel.getInputColumns());
inputColumns.retainAll(command.getOutputColumns());
if (inputColumns.size() > 0) sel.invalidateSelection();
}
}
@Override
public UpdateContainer doIt(VWorkspace vWorkspace) throws CommandException {
Worksheet worksheet = vWorkspace.getViewFactory().getVWorksheet(vWorksheetId).getWorksheet();
Workspace ws = vWorkspace.getWorkspace();
if (worksheet.getSemanticTypes().getListOfTypes().size() == 0) {
SemanticTypeUtil.populateSemanticTypesUsingCRF(
worksheet,
ws.getTagsContainer().getTag(TagName.Outlier),
ws.getCrfModelHandler(),
ws.getOntologyManager());
}
WorksheetGeospatialContent geo = new WorksheetGeospatialContent(worksheet);
// Send an error update if no geospatial data found!
if (geo.hasNoGeospatialData()) {
return new UpdateContainer(new ErrorUpdate("No geospatial data found in the worksheet!"));
}
try {
final File file = geo.publishKML();
// Transfer the file to a public server
final boolean transfer = transferFileToPublicServer(file);
if (!transfer) {
logger.error(
"Published KML file could not be moved to a public server to display on Google Maps!");
}
return new UpdateContainer(
new AbstractUpdate() {
@Override
public void generateJson(String prefix, PrintWriter pw, VWorkspace vWorkspace) {
JSONObject outputObject = new JSONObject();
try {
outputObject.put(JsonKeys.updateType.name(), "PublishKMLUpdate");
outputObject.put(JsonKeys.fileName.name(), publicKMLAddress + file.getName());
outputObject.put(JsonKeys.transferSuccessful.name(), transfer);
outputObject.put(JsonKeys.localFileName.name(), "KML/" + file.getName());
pw.println(outputObject.toString(4));
} catch (JSONException e) {
logger.error("Error occured while generating JSON!");
}
}
});
} catch (FileNotFoundException e) {
logger.error("KML File not found!", e);
return new UpdateContainer(new ErrorUpdate("Error occurred while publishing KML layer!"));
}
}
private void generateRDFFromWorksheet(
Worksheet wk,
Workspace workspace,
KR2RMLMapping mapping,
List<KR2RMLRDFWriter> writers,
String baseURI)
throws IOException, JSONException, KarmaException {
// Generate RDF for the remaining rows
// Gets all the errors generated during the RDF generation
ErrorReport errorReport = new ErrorReport();
this.applyHistoryToWorksheet(workspace, wk, mapping);
SuperSelection selection = SuperSelectionManager.DEFAULT_SELECTION;
if (selectionName != null && !selectionName.trim().isEmpty())
selection = wk.getSuperSelectionManager().getSuperSelection(selectionName);
if (selection == null) return;
// RDF generation object initialization
KR2RMLWorksheetRDFGenerator rdfGen =
new KR2RMLWorksheetRDFGenerator(
wk,
workspace.getFactory(),
workspace.getOntologyManager(),
writers,
false,
mapping,
errorReport,
selection);
// Generate the rdf
rdfGen.generateRDF(false);
}
private List<String> addHeaders(Worksheet wk, List<String> columnNames, RepFactory factory) {
HTable headers = wk.getHeaders();
ArrayList<String> headersList = new ArrayList<String>();
for (int i = 0; i < columnNames.size(); i++) {
HNode hNode = null;
hNode = headers.addHNode(columnNames.get(i), HNodeType.Regular, wk, factory);
headersList.add(hNode.getId());
}
return headersList;
}
private JSONArray extractHistoryFromModel(Workspace workspace, UpdateContainer uc)
throws RepositoryException, RDFParseException, IOException, JSONException, KarmaException {
Worksheet ws = workspace.getFactory().getWorksheet(worksheetId);
R2RMLMappingIdentifier id =
new R2RMLMappingIdentifier(ws.getTitle(), r2rmlModelFile.toURI().toURL());
WorksheetR2RMLJenaModelParser parser = new WorksheetR2RMLJenaModelParser(id);
KR2RMLMapping mapping = parser.parse();
KR2RMLVersion version = mapping.getVersion();
if (version.compareTo(KR2RMLVersion.current) < 0) {
uc.add(
new InfoUpdate(
"Model version is "
+ version.toString()
+ ". Current version is "
+ KR2RMLVersion.current.toString()
+ ". Please publish it again."));
}
return mapping.getWorksheetHistory();
}
@Override
public UpdateContainer doIt(VWorkspace vWorkspace) throws CommandException {
UpdateContainer c = new UpdateContainer();
Worksheet worksheet = vWorkspace.getViewFactory().getVWorksheet(vWorksheetId).getWorksheet();
worksheetName = worksheet.getTitle();
// Generate the semantic types for the worksheet
OntologyManager ontMgr = vWorkspace.getWorkspace().getOntologyManager();
if (ontMgr.isEmpty()) return new UpdateContainer(new ErrorUpdate("No ontology loaded."));
SemanticTypeUtil.computeSemanticTypesForAutoModel(
worksheet, vWorkspace.getWorkspace().getCrfModelHandler(), ontMgr);
String alignmentId =
AlignmentManager.Instance()
.constructAlignmentId(vWorkspace.getWorkspace().getId(), vWorksheetId);
Alignment alignment = AlignmentManager.Instance().getAlignment(alignmentId);
if (alignment == null) {
alignment = new Alignment(ontMgr);
AlignmentManager.Instance().addAlignmentToMap(alignmentId, alignment);
}
try {
// Save the semantic types in the input parameter JSON
saveSemanticTypesInformation(
worksheet, vWorkspace, worksheet.getSemanticTypes().getListOfTypes());
// Add the visualization update
c.add(new SemanticTypesUpdate(worksheet, vWorksheetId, alignment));
c.add(
new SVGAlignmentUpdate_ForceKarmaLayout(
vWorkspace.getViewFactory().getVWorksheet(vWorksheetId), alignment));
} catch (Exception e) {
logger.error("Error occured while generating the model Reason:.", e);
return new UpdateContainer(
new ErrorUpdate("Error occured while generating the model for the source."));
}
c.add(new TagsUpdate());
return c;
}
@Override
public UpdateContainer doIt(Workspace workspace) throws CommandException {
Worksheet wk = workspace.getWorksheet(worksheetId);
SuperSelection selection = getSuperSelection(wk);
String Msg =
String.format("begin, Time,%d, Worksheet,%s", System.currentTimeMillis(), worksheetId);
logger.info(Msg);
// Get the HNode
HashMap<String, HashMap<String, String>> rows = new HashMap<String, HashMap<String, String>>();
HNodePath selectedPath = null;
List<HNodePath> columnPaths = wk.getHeaders().getAllPaths();
for (HNodePath path : columnPaths) {
if (path.getLeaf().getId().equals(hNodeId)) {
selectedPath = path;
}
}
// random nodes
Collection<Node> nodes = new ArrayList<Node>();
wk.getDataTable().collectNodes(selectedPath, nodes, selection);
HashSet<Integer> indSet = this.obtainIndexs(nodes.size());
int index = 0;
for (Iterator<Node> iterator = nodes.iterator(); iterator.hasNext(); ) {
Node node = iterator.next();
if (indSet.contains(index)) {
String id = node.getId();
String originalVal = node.getValue().asString();
HashMap<String, String> x = new HashMap<String, String>();
x.put("Org", originalVal);
x.put("Tar", originalVal);
x.put("Orgdis", originalVal);
x.put("Tardis", originalVal);
rows.put(id, x);
}
index++;
}
Msg = String.format("end, Time,%d, Worksheet,%s", System.currentTimeMillis(), worksheetId);
logger.info(Msg);
return new UpdateContainer(new FetchResultUpdate(hNodeId, rows));
}
@Override
public void generateJson(String prefix, PrintWriter pw, VWorkspace vWorkspace) {
Workspace workspace = vWorkspace.getWorkspace();
alignment = AlignmentManager.Instance().getAlignment(workspace.getId(), worksheetId);
SemanticTypes types = worksheet.getSemanticTypes();
Map<String, ColumnNode> hNodeIdTocolumnNodeMap = createColumnNodeMap();
Map<String, SemanticTypeNode> hNodeIdToDomainNodeMap = createDomainNodeMap();
JSONStringer jsonStr = new JSONStringer();
try {
JSONWriter writer = jsonStr.object();
writer.key("worksheetId").value(worksheetId).key("updateType").value("SemanticTypesUpdate");
writer.key(JsonKeys.Types.name());
writer.array();
// Iterate through all the columns
for (HNodePath path : worksheet.getHeaders().getAllPaths()) {
HNode node = path.getLeaf();
String nodeId = node.getId();
writer.object();
// Check if a semantic type exists for the HNode
SemanticType type = types.getSemanticTypeForHNodeId(nodeId);
if (type != null && type.getConfidenceLevel() != SemanticType.ConfidenceLevel.Low) {
writer
.key(JsonKeys.HNodeId.name())
.value(type.getHNodeId())
.key(JsonKeys.SemanticTypesArray.name())
.array();
ColumnNode alignmentColumnNode = hNodeIdTocolumnNodeMap.get(type.getHNodeId());
SemanticTypeNode domainNode = hNodeIdToDomainNodeMap.get(type.getHNodeId());
if (alignmentColumnNode == null || domainNode == null) {
logger.error(
"Column node or domain node not found in alignment."
+ " (This should not happen conceptually!):"
+ type);
continue;
}
// Add the primary semantic type
writer
.object()
.key(JsonKeys.Origin.name())
.value(type.getOrigin().name())
.key(JsonKeys.ConfidenceLevel.name())
.value(type.getConfidenceLevel().name())
.key(JsonKeys.isPrimary.name())
.value(true);
// Add the RDF literal type to show in the text box
String rdfLiteralType =
alignmentColumnNode.getRdfLiteralType() == null
? ""
: alignmentColumnNode.getRdfLiteralType().getDisplayName();
String language =
alignmentColumnNode.getLanguage() == null ? "" : alignmentColumnNode.getLanguage();
writer.key(JsonKeys.rdfLiteralType.name()).value(rdfLiteralType);
writer.key(JsonKeys.language.name()).value(language);
// String domainDisplayLabel = (domainNode.getLabel().getPrefix() != null &&
// (!domainNode.getLabel().getPrefix().equals(""))) ?
// (domainNode.getLabel().getPrefix() + ":" + domainNode.getLocalId()) :
// domainNode.getLocalId();
if (!type.isClass()) {
writer
.key(JsonKeys.FullType.name())
.value(type.getType().getUri())
.key(JsonKeys.DisplayLabel.name())
.value(type.getType().getDisplayName())
.key(JsonKeys.DisplayRDFSLabel.name())
.value(type.getType().getRdfsLabel())
.key(JsonKeys.DisplayRDFSComment.name())
.value(type.getType().getRdfsComment())
.key(JsonKeys.DomainId.name())
.value(domainNode.getId())
.key(JsonKeys.DomainUri.name())
.value(domainNode.getUri())
.key(JsonKeys.DisplayDomainLabel.name())
.value(domainNode.getDisplayId())
.key(JsonKeys.DomainRDFSLabel.name())
.value(domainNode.getRdfsLabel())
.key(JsonKeys.DomainRDFSComment.name())
.value(domainNode.getRdfsComment());
} else {
writer
.key(JsonKeys.FullType.name())
.value(domainNode.getId())
.key(JsonKeys.DisplayLabel.name())
.value(domainNode.getDisplayId())
.key(JsonKeys.DisplayRDFSLabel.name())
.value(domainNode.getRdfsLabel())
.key(JsonKeys.DisplayRDFSComment.name())
.value(domainNode.getRdfsComment())
.key(JsonKeys.DomainId.name())
.value("")
.key(JsonKeys.DomainUri.name())
.value("")
.key(JsonKeys.DisplayDomainLabel.name())
.value("")
.key(JsonKeys.DomainRDFSLabel.name())
.value("")
.key(JsonKeys.DomainRDFSComment.name())
.value("");
}
// Mark the special properties
writer
.key(JsonKeys.isMetaProperty.name())
.value(isMetaProperty(type.getType(), alignmentColumnNode));
writer.endObject();
// Iterate through the synonym semantic types
SynonymSemanticTypes synTypes = types.getSynonymTypesForHNodeId(nodeId);
if (synTypes != null) {
for (SemanticType synType : synTypes.getSynonyms()) {
writer
.object()
.key(JsonKeys.HNodeId.name())
.value(synType.getHNodeId())
.key(JsonKeys.FullType.name())
.value(synType.getType().getUri())
.key(JsonKeys.Origin.name())
.value(synType.getOrigin().name())
.key(JsonKeys.ConfidenceLevel.name())
.value(synType.getConfidenceLevel().name())
.key(JsonKeys.DisplayLabel.name())
.value(synType.getType().getDisplayName())
.key(JsonKeys.DisplayRDFSLabel.name())
.value(synType.getType().getRdfsLabel())
.key(JsonKeys.DisplayRDFSComment.name())
.value(synType.getType().getRdfsComment())
.key(JsonKeys.isPrimary.name())
.value(false);
if (!synType.isClass()) {
writer
.key(JsonKeys.DomainUri.name())
.value(synType.getDomain().getUri())
.key(JsonKeys.DomainId.name())
.value("")
.key(JsonKeys.DisplayDomainLabel.name())
.value(synType.getDomain().getDisplayName())
.key(JsonKeys.DomainRDFSLabel.name())
.value(synType.getDomain().getRdfsLabel())
.key(JsonKeys.DomainRDFSComment.name())
.value(synType.getDomain().getRdfsComment());
} else {
writer
.key(JsonKeys.DomainId.name())
.value("")
.key(JsonKeys.DomainUri.name())
.value("")
.key(JsonKeys.DisplayDomainLabel.name())
.value("")
.key(JsonKeys.DomainRDFSLabel.name())
.value("")
.key(JsonKeys.DomainRDFSComment.name())
.value("");
}
writer.endObject();
}
}
writer.endArray();
} else {
writer.key(JsonKeys.HNodeId.name()).value(nodeId);
writer.key(JsonKeys.SemanticTypesArray.name()).array().endArray();
}
writer.endObject();
}
writer.endArray();
writer.endObject();
pw.print(writer.toString());
} catch (JSONException e) {
logger.error("Error occured while writing to JSON!", e);
}
}
private void generateRDF(
String wkname,
String query,
List<KR2RMLRDFWriter> writers,
R2RMLMappingIdentifier id,
String baseURI)
throws IOException, JSONException, KarmaException, SQLException, ClassNotFoundException {
logger.debug("Generating RDF...");
WorksheetR2RMLJenaModelParser parserTest = new WorksheetR2RMLJenaModelParser(id);
KR2RMLMapping mapping = parserTest.parse();
AbstractJDBCUtil dbUtil = JDBCUtilFactory.getInstance(dbType);
Connection conn = dbUtil.getConnection(hostname, portnumber, username, password, dBorSIDName);
conn.setAutoCommit(false);
java.sql.Statement stmt =
conn.createStatement(
java.sql.ResultSet.TYPE_FORWARD_ONLY, java.sql.ResultSet.CONCUR_READ_ONLY);
stmt.setFetchSize(DATABASE_TABLE_FETCH_SIZE);
ResultSet r = stmt.executeQuery(query);
ResultSetMetaData meta = r.getMetaData();
;
// Get the column names
List<String> columnNames = new ArrayList<>();
for (int i = 1; i <= meta.getColumnCount(); i++) {
columnNames.add(meta.getColumnName(i));
}
// Prepare required Karma objects
Workspace workspace = initializeWorkspace();
RepFactory factory = workspace.getFactory();
Worksheet wk = factory.createWorksheet(wkname, workspace, encoding);
List<String> headersList = addHeaders(wk, columnNames, factory);
int counter = 0;
ArrayList<String> rowValues = null;
while ((rowValues = dbUtil.parseResultSetRow(r)) != null) {
// Generate RDF and create a new worksheet for every DATABASE_TABLE_FETCH_SIZE rows
if (counter % DATABASE_TABLE_FETCH_SIZE == 0 && counter != 0) {
generateRDFFromWorksheet(wk, workspace, mapping, writers, baseURI);
logger.debug("Done for " + counter + " rows ...");
removeWorkspace(workspace);
parserTest = new WorksheetR2RMLJenaModelParser(id);
mapping = parserTest.parse();
workspace = initializeWorkspace();
factory = workspace.getFactory();
wk = factory.createWorksheet(wkname, workspace, encoding);
headersList = addHeaders(wk, columnNames, factory);
}
/** Add the data * */
Table dataTable = wk.getDataTable();
Row row = dataTable.addRow(factory);
for (int i = 0; i < rowValues.size(); i++) {
row.setValue(headersList.get(i), rowValues.get(i), factory);
}
counter++;
}
generateRDFFromWorksheet(wk, workspace, mapping, writers, baseURI);
// Releasing all the resources
r.close();
conn.close();
stmt.close();
logger.debug("done");
}
public void run() {
long start = System.currentTimeMillis();
// Find the corresponding hNodePath. Used to find examples for training the CRF Model.
HNodePath currentColumnPath = null;
List<HNodePath> paths = worksheet.getHeaders().getAllPaths();
for (HNodePath path : paths) {
if (path.getLeaf().getId().equals(newType.getHNodeId())) {
currentColumnPath = path;
break;
}
}
Map<ColumnFeature, Collection<String>> columnFeatures =
new HashMap<ColumnFeature, Collection<String>>();
// Prepare the column name for training
String columnName = currentColumnPath.getLeaf().getColumnName();
Collection<String> columnNameList = new ArrayList<String>();
columnNameList.add(columnName);
columnFeatures.put(ColumnFeature.ColumnHeaderName, columnNameList);
// Train the model with the new type
ArrayList<String> trainingExamples =
SemanticTypeUtil.getTrainingExamples(worksheet, currentColumnPath);
boolean trainingResult = false;
String newTypeString =
(newType.getDomain() == null)
? newType.getType().getUri()
: newType.getDomain().getUri() + "|" + newType.getType().getUri();
trainingResult =
crfModelHandler.addOrUpdateLabel(newTypeString, trainingExamples, columnFeatures);
if (!trainingResult) {
logger.error("Error occured while training CRF Model.");
}
// logger.debug("Using type:" + newType.getDomain().getUri() + "|" +
// newType.getType().getUri());
// Add the new CRF column model for this column
ArrayList<String> labels = new ArrayList<String>();
ArrayList<Double> scores = new ArrayList<Double>();
trainingResult =
crfModelHandler.predictLabelForExamples(
trainingExamples, 4, labels, scores, null, columnFeatures);
if (!trainingResult) {
logger.error("Error occured while predicting labels");
}
CRFColumnModel newModel = new CRFColumnModel(labels, scores);
worksheet.getCrfModel().addColumnModel(newType.getHNodeId(), newModel);
long elapsedTimeMillis = System.currentTimeMillis() - start;
float elapsedTimeSec = elapsedTimeMillis / 1000F;
logger.info("Time required for training the semantic type: " + elapsedTimeSec);
// long t2 = System.currentTimeMillis();
// Identify the outliers for the column
// SemanticTypeUtil.identifyOutliers(worksheet, newTypeString,currentColumnPath,
// vWorkspace.getWorkspace().getTagsContainer()
// .getTag(TagName.Outlier), columnFeatures, crfModelHandler);
// long t3 = System.currentTimeMillis();
// logger.info("Identify outliers: "+ (t3-t2));
}
@Override
public UpdateContainer doIt(Workspace workspace) throws CommandException {
Worksheet wk = workspace.getWorksheet(worksheetId);
SuperSelection selection = getSuperSelection(wk);
String msg =
String.format(
"Gen rule start,Time,%d, Worksheet,%s", System.currentTimeMillis(), worksheetId);
logger.info(msg);
// Get the HNode
HashMap<String, String> rows = new HashMap<String, String>();
HashMap<String, Integer> amb = new HashMap<String, Integer>();
HNodePath selectedPath = null;
List<HNodePath> columnPaths = wk.getHeaders().getAllPaths();
for (HNodePath path : columnPaths) {
if (path.getLeaf().getId().equals(hNodeId)) {
selectedPath = path;
}
}
Collection<Node> nodes = new ArrayList<Node>();
wk.getDataTable().collectNodes(selectedPath, nodes, selection);
for (Node node : nodes) {
String id = node.getId();
if (!this.nodeIds.contains(id)) continue;
String originalVal = node.getValue().asString();
rows.put(id, originalVal);
this.compResultString += originalVal + "\n";
calAmbScore(id, originalVal, amb);
}
RamblerValueCollection vc = new RamblerValueCollection(rows);
HashMap<String, Vector<String[]>> expFeData = new HashMap<String, Vector<String[]>>();
inputs = new RamblerTransformationInputs(examples, vc);
// generate the program
boolean results = false;
int iterNum = 0;
RamblerTransformationOutput rtf = null;
// initialize the vocabulary
Iterator<String> iterx = inputs.getInputValues().getValues().iterator();
Vector<String> v = new Vector<String>();
int vb_cnt = 0;
while (iterx.hasNext() && vb_cnt < 30) {
String eString = iterx.next();
v.add(eString);
vb_cnt++;
}
Vector<String> vob = UtilTools.buildDict(v);
inputs.setVocab(vob.toArray(new String[vob.size()]));
while (iterNum < 1 && !results) // try to find an program within iterNum
{
rtf = new RamblerTransformationOutput(inputs);
if (rtf.getTransformations().keySet().size() > 0) {
results = true;
}
iterNum++;
}
Iterator<String> iter = rtf.getTransformations().keySet().iterator();
// id:{org: tar: orgdis: tardis: }
HashMap<String, HashMap<String, String>> resdata =
new HashMap<String, HashMap<String, String>>();
HashSet<String> keys = new HashSet<String>();
while (iter.hasNext()) {
String tpid = iter.next();
ValueCollection rvco = rtf.getTransformedValues_debug(tpid);
if (rvco == null) continue;
// constructing displaying data
HashMap<String, String[]> xyzHashMap = new HashMap<String, String[]>();
for (String key : rvco.getNodeIDs()) {
HashMap<String, String> dict = new HashMap<String, String>();
// add to the example selection
boolean isExp = false;
String org = vc.getValue(key);
String classLabel = rvco.getClass(key);
String pretar = rvco.getValue(key);
String dummyValue = pretar;
if (pretar.indexOf("_FATAL_ERROR_") != -1) {
dummyValue = org;
// dummyValue = "#ERROR";
}
try {
UtilTools.StringColorCode(org, dummyValue, dict);
} catch (Exception ex) {
logger.info(String.format("ColorCoding Exception%s, %s", org, dummyValue));
// set dict
dict.put("Org", org);
dict.put("Tar", "ERROR");
dict.put("Orgdis", org);
dict.put("Tardis", "ERROR");
}
for (TransformationExample exp : examples) {
if (exp.getNodeId().compareTo(key) == 0) {
if (!expFeData.containsKey(classLabel)) {
Vector<String[]> vstr = new Vector<String[]>();
String[] texp = {dict.get("Org"), pretar};
vstr.add(texp);
expFeData.put(classLabel, vstr);
} else {
String[] texp = {dict.get("Org"), pretar};
expFeData.get(classLabel).add(texp);
}
isExp = true;
}
}
if (!isExp) {
String[] pair = {dict.get("Org"), dict.get("Tar"), pretar, classLabel};
xyzHashMap.put(key, pair);
}
resdata.put(key, dict);
}
if (!rtf.nullRule) keys.add(getBestExample(xyzHashMap, expFeData));
}
// find the best row
String vars = "";
String expstr = "";
String recmd = "";
for (TransformationExample x : examples) {
expstr += String.format("%s|%s", x.getBefore(), x.getAfter());
}
expstr += "|";
if (rtf.nullRule) {
keys.clear();
// keys.add("-2"); // "-2 indicates null rule"
}
if (!resdata.isEmpty() && !rtf.nullRule) {
recmd = resdata.get(keys.iterator().next()).get("Org");
} else {
recmd = "";
}
msg =
String.format(
"Gen rule end, Time,%d, Worksheet,%s,Examples:%s,Recmd:%s",
System.currentTimeMillis(), worksheetId, expstr, recmd);
logger.info(msg);
return new UpdateContainer(new CleaningResultUpdate(hNodeId, resdata, vars, keys));
}
@Override
public UpdateContainer doIt(Workspace workspace) {
Worksheet worksheet = workspace.getWorksheet(worksheetId);
SuperSelection selection = getSuperSelection(worksheet);
String worksheetName = worksheet.getTitle();
try {
// preparing model file name
final String modelFileName =
workspace.getCommandPreferencesId() + worksheetId + "-" + worksheetName + "-model.ttl";
final String modelFileLocalPath =
ServletContextParameterMap.getParameterValue(ContextParameter.R2RML_PUBLISH_DIR)
+ modelFileName;
File f = new File(modelFileLocalPath);
// preparing the graphUri where the model is published in the triple store
String graphName =
worksheet
.getMetadataContainer()
.getWorksheetProperties()
.getPropertyValue(Property.graphName);
if (graphName == null || graphName.isEmpty()) {
SimpleDateFormat sdf = new SimpleDateFormat("dd-MMM-yyyy-kkmmssS");
String ts = sdf.format(Calendar.getInstance().getTime());
graphName =
"http://localhost/"
+ workspace.getCommandPreferencesId()
+ "/"
+ worksheetId
+ "/model/"
+ ts;
worksheet
.getMetadataContainer()
.getWorksheetProperties()
.setPropertyValue(Property.graphName, graphName);
}
// If the model is not published, publish it!
if (!f.exists() || !f.isFile()) {
GenerateR2RMLModelCommandFactory factory = new GenerateR2RMLModelCommandFactory();
GenerateR2RMLModelCommand cmd =
(GenerateR2RMLModelCommand)
factory.createCommand(
workspace,
worksheetId,
TripleStoreUtil.defaultModelsRepoUrl,
graphName,
selection.getName());
cmd.doIt(workspace);
} else {
// if the model was published 30 min ago, publish it again, just to be sure
long diff = Calendar.getInstance().getTimeInMillis() - f.lastModified();
if ((diff / 1000L / 60L) > 30) {
f.delete();
GenerateR2RMLModelCommandFactory factory = new GenerateR2RMLModelCommandFactory();
GenerateR2RMLModelCommand cmd =
(GenerateR2RMLModelCommand)
factory.createCommand(
workspace,
worksheetId,
TripleStoreUtil.defaultModelsRepoUrl,
graphName,
selection.getName());
cmd.doIt(workspace);
}
}
// TripleStoreUtil tUtil = new TripleStoreUtil();
StringBuffer query =
new StringBuffer(
"prefix rr: <http://www.w3.org/ns/r2rml#> prefix km-dev: <http://isi.edu/integration/karma/dev#> ");
/* ****** this is the query for the list of columns.
PREFIX km-dev: <http://isi.edu/integration/karma/dev#>
PREFIX rr: <http://www.w3.org/ns/r2rml#>
select distinct ?class where {
{
?x1 rr:subjectMap/km-dev:alignmentNodeId "------- The full url of the column/class --------".
?x1 rr:predicateObjectMap/rr:objectMap/rr:column ?column .
?x1 rr:subjectMap/rr:predicate ?class .
}
UNION
{
?x1 rr:subjectMap/km-dev:alignmentNodeId "------- The full url of the column/class --------".
?x1 (rr:predicateObjectMap/rr:objectMap/rr:parentTriplesMap)* ?x2 .
?x2 rr:predicateObjectMap/rr:objectMap/rr:column ?column .
?x2 rr:predicateObjectMap/rr:predicate ?class .
}
}
* */
query.append("select distinct ?class ?column where { ");
if (graphName != null && !graphName.trim().isEmpty()) {
query.append(" graph <" + graphName + "> { ");
}
query
.append("{ ?x1 rr:subjectMap/km-dev:alignmentNodeId \"")
.append(this.nodeId)
.append(
"\" . ?x1 rr:predicateObjectMap/rr:objectMap/rr:column ?column . ?x1 rr:subjectMap/rr:predicate ?class .")
.append(" } UNION { ")
.append("?x1 rr:subjectMap/km-dev:alignmentNodeId \"")
.append(this.nodeId)
.append("\" . ?x1 (rr:predicateObjectMap/rr:objectMap/rr:parentTriplesMap)* ?x2 .")
.append(" ?x2 rr:predicateObjectMap ?x3 . ")
.append(" ?x3 rr:objectMap/rr:column ?column . ?x3 rr:predicate ?class .")
.append(" } }");
if (graphName != null && !graphName.trim().isEmpty()) {
query.append(" } ");
}
logger.info("Query: " + query.toString());
String sData =
TripleStoreUtil.invokeSparqlQuery(
query.toString(), TripleStoreUtil.defaultModelsRepoUrl, "application/json", null);
if (sData == null | sData.isEmpty()) {
logger.error("Empty response object from query : " + query);
}
HashMap<String, String> cols = new HashMap<String, String>();
try {
JSONObject obj1 = new JSONObject(sData);
JSONArray arr = obj1.getJSONObject("results").getJSONArray("bindings");
for (int i = 0; i < arr.length(); i++) {
String colName = arr.getJSONObject(i).getJSONObject("column").getString("value");
String colValue = arr.getJSONObject(i).getJSONObject("class").getString("value");
if (cols.containsKey(colName)) {
logger.error("Duplicate Column <-> property mapping. " + colName + " <=> " + colValue);
} else {
cols.put(colName, colValue);
}
}
} catch (Exception e2) {
logger.error("Error in parsing json response", e2);
}
logger.info("Total Columns fetched : " + cols.size());
final HashMap<String, String> columns = cols;
return new UpdateContainer(
new AbstractUpdate() {
@Override
public void generateJson(String prefix, PrintWriter pw, VWorkspace vWorkspace) {
JSONObject obj = new JSONObject();
try {
Iterator<String> itr = columns.keySet().iterator();
JSONArray colList = new JSONArray();
while (itr.hasNext()) {
JSONObject o = new JSONObject();
String k = itr.next();
o.put("name", k);
o.put("url", columns.get(k));
colList.put(o);
}
obj.put("updateType", "FetchColumnUpdate");
obj.put("columns", colList);
obj.put("rootId", nodeId);
pw.println(obj.toString());
} catch (JSONException e) {
logger.error("Error occurred while fetching worksheet properties!", e);
}
}
});
} catch (Exception e) {
String msg = "Error occured while fetching columns!";
logger.error(msg, e);
return new UpdateContainer(new ErrorUpdate(msg));
}
}
@Override
public UpdateContainer doIt(Workspace workspace) throws CommandException {
Worksheet worksheet = workspace.getWorksheet(worksheetId);
SuperSelection selection = getSuperSelection(worksheet);
HNodePath selectedPath = null;
List<HNodePath> columnPaths = worksheet.getHeaders().getAllPaths();
for (HNodePath path : columnPaths) {
if (path.getLeaf().getId().equals(hNodeId)) {
selectedPath = path;
}
}
Collection<Node> nodes = new ArrayList<Node>();
workspace
.getFactory()
.getWorksheet(worksheetId)
.getDataTable()
.collectNodes(selectedPath, nodes, selection);
try {
JSONArray requestJsonArray = new JSONArray();
for (Node node : nodes) {
String id = node.getId();
String originalVal = node.getValue().asString();
JSONObject jsonRecord = new JSONObject();
jsonRecord.put("id", id);
originalVal = originalVal == null ? "" : originalVal;
jsonRecord.put("value", originalVal);
requestJsonArray.put(jsonRecord);
}
String jsonString = null;
jsonString = requestJsonArray.toString();
// String url =
// "http://localhost:8080/cleaningService/IdentifyData";
// String url = "http://localhost:8070/myWS/IdentifyData";
String url =
ServletContextParameterMap.getParameterValue(ContextParameter.CLEANING_SERVICE_URL);
HttpClient httpclient = new DefaultHttpClient();
HttpPost httppost = null;
HttpResponse response = null;
HttpEntity entity;
StringBuffer out = new StringBuffer();
URI u = null;
u = new URI(url);
List<NameValuePair> formparams = new ArrayList<NameValuePair>();
formparams.add(new BasicNameValuePair("json", jsonString));
httppost = new HttpPost(u);
httppost.setEntity(new UrlEncodedFormEntity(formparams, "UTF-8"));
response = httpclient.execute(httppost);
entity = response.getEntity();
if (entity != null) {
BufferedReader buf = new BufferedReader(new InputStreamReader(entity.getContent()));
String line = buf.readLine();
while (line != null) {
out.append(line);
line = buf.readLine();
}
}
// logger.trace(out.toString());
// logger.info("Connnection success : " + url + " Successful.");
final JSONObject data1 = new JSONObject(out.toString());
// logger.trace("Data--->" + data1);
return new UpdateContainer(
new AbstractUpdate() {
@Override
public void generateJson(String prefix, PrintWriter pw, VWorkspace vWorkspace) {
JSONObject response = new JSONObject();
// logger.trace("Reached here");
try {
response.put("updateType", "CleaningServiceOutput");
response.put("chartData", data1);
response.put("hNodeId", hNodeId);
// logger.trace(response.toString(4));
} catch (JSONException e) {
pw.print("Error");
}
pw.print(response.toString());
}
});
} catch (Exception e) {
e.printStackTrace();
return new UpdateContainer(new ErrorUpdate("Error!"));
}
}