You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
497 lines
17 KiB
Java
497 lines
17 KiB
Java
package org.gcube.portlets.user.performfishanalytics.client.viewbinder;
|
|
|
|
import java.util.Arrays;
|
|
import java.util.HashMap;
|
|
import java.util.List;
|
|
import java.util.Map;
|
|
|
|
import org.gcube.portlets.user.performfishanalytics.client.DataMinerAlgorithms;
|
|
import org.gcube.portlets.user.performfishanalytics.client.PerformFishAnalyticsConstant;
|
|
import org.gcube.portlets.user.performfishanalytics.client.PerformFishAnalyticsConstant.POPULATION_LEVEL;
|
|
import org.gcube.portlets.user.performfishanalytics.client.PerformFishAnalyticsServiceAsync;
|
|
import org.gcube.portlets.user.performfishanalytics.client.controllers.PerformFishAnalyticsViewController;
|
|
import org.gcube.portlets.user.performfishanalytics.client.resources.PerformFishResources;
|
|
import org.gcube.portlets.user.performfishanalytics.client.view.LoaderIcon;
|
|
import org.gcube.portlets.user.performfishanalytics.shared.FileContentType;
|
|
import org.gcube.portlets.user.performfishanalytics.shared.KPI;
|
|
import org.gcube.portlets.user.performfishanalytics.shared.OutputFile;
|
|
import org.gcube.portlets.user.performfishanalytics.shared.csv.CSVFile;
|
|
import org.gcube.portlets.user.performfishanalytics.shared.dataminer.DataMinerResponse;
|
|
import org.gcube.portlets.user.performfishanalytics.shared.performfishservice.PerformFishResponse;
|
|
|
|
import com.github.gwtbootstrap.client.ui.Alert;
|
|
import com.github.gwtbootstrap.client.ui.Button;
|
|
import com.github.gwtbootstrap.client.ui.Tab;
|
|
import com.github.gwtbootstrap.client.ui.constants.AlertType;
|
|
import com.github.gwtbootstrap.client.ui.constants.IconType;
|
|
import com.google.gwt.core.client.Scheduler;
|
|
import com.google.gwt.core.shared.GWT;
|
|
import com.google.gwt.dom.client.Style.Unit;
|
|
import com.google.gwt.event.dom.client.ClickEvent;
|
|
import com.google.gwt.event.dom.client.ClickHandler;
|
|
import com.google.gwt.resources.client.TextResource;
|
|
import com.google.gwt.user.client.Window;
|
|
import com.google.gwt.user.client.rpc.AsyncCallback;
|
|
import com.google.gwt.user.client.ui.ComplexPanel;
|
|
import com.google.gwt.user.client.ui.HTML;
|
|
import com.google.gwt.user.client.ui.HorizontalPanel;
|
|
import com.google.gwt.user.client.ui.Panel;
|
|
|
|
public class ScatterPanelResult {
|
|
|
|
private PerformFishAnalyticsViewController viewController;
|
|
private int requestId = 0;
|
|
private int outputIteration = 1;
|
|
private int outputNumber = 1;
|
|
private Button savePDFButton;
|
|
|
|
public ScatterPanelResult(int reqId, PerformFishAnalyticsViewController viewController,
|
|
final DataMinerAlgorithms algorithm, String focusID, List<KPI> inputKPI, final List<KPI> outputKPI) {
|
|
GWT.log("RequestID: " + reqId);
|
|
requestId = reqId;
|
|
this.viewController = viewController;
|
|
TextResource algDescr = PerformFishResources.INSTANCE.batch_SCATTER();
|
|
|
|
String algDesrTxt = algDescr != null ? algDescr.getText() : null;
|
|
|
|
// TODO
|
|
final String tabTitle = algorithm.getTitle();
|
|
final String tabDescr = algDesrTxt;
|
|
|
|
final SubmitRequestPanel submitRequestPanel = new SubmitRequestPanel("", 1);
|
|
Tab tab = viewController.createTab(tabTitle + " #" + (viewController.currentNumberOfTab() + 1), algDesrTxt,
|
|
submitRequestPanel);
|
|
|
|
HorizontalPanel res = new HorizontalPanel();
|
|
|
|
savePDFButton = new Button();
|
|
savePDFButton.getElement().getStyle().setMargin(10, Unit.PX);
|
|
savePDFButton.setIcon(IconType.PRINT);
|
|
savePDFButton.addClickHandler(new ClickHandler() {
|
|
|
|
@Override
|
|
public void onClick(ClickEvent event) {
|
|
saveFilePDF(algorithm.getId(), tabTitle, tabTitle, tabDescr, requestId, outputIteration, outputNumber);
|
|
// dmResponse.getListOutput().size()
|
|
}
|
|
});
|
|
savePDFButton.setVisible(false);
|
|
|
|
res.add(savePDFButton);
|
|
submitRequestPanel.addWidget(res);
|
|
|
|
if (inputKPI.get(0) == null || inputKPI.get(1) == null) {
|
|
submitRequestPanel
|
|
.setTheTitle("Sorry, something seems wrong, the selected KPIs are not valid. Please try again");
|
|
checkTabSpinner(submitRequestPanel, tab);
|
|
return;
|
|
// Window.alert("Something seems wrong, no selected BatchID, try
|
|
// again");
|
|
}
|
|
|
|
String title = "KPI: " + inputKPI.get(0).getName() + " vs " + inputKPI.get(1).getName();
|
|
HTML toBigTitle = new HTML(title);
|
|
toBigTitle.getElement().setId("KPI_Scatter_" + requestId + "_" + outputIteration);
|
|
toBigTitle.getElement().addClassName("to-big-title");
|
|
submitRequestPanel.addWidget(toBigTitle);
|
|
HorizontalPanel hp = new HorizontalPanel();
|
|
hp.getElement().addClassName("ext-horizontal-panel");
|
|
|
|
callDataMinerServiceForChart(viewController.getPerformFishResponse(), POPULATION_LEVEL.BATCH, inputKPI,
|
|
outputKPI, algorithm, focusID, submitRequestPanel, hp, tab, outputIteration);
|
|
submitRequestPanel.addWidget(hp);
|
|
|
|
}
|
|
|
|
private void callDataMinerServiceForChart(PerformFishResponse performFishResponse, POPULATION_LEVEL scalePValue,
|
|
final List<KPI> inputKPI, final List<KPI> outputKPI, final DataMinerAlgorithms chartType,
|
|
final String focusID, final SubmitRequestPanel requestPanel, final ComplexPanel panelContainer,
|
|
final Tab tab, final int oIteration) {
|
|
|
|
GWT.log("Read perform fish response: " + performFishResponse);
|
|
|
|
String batchTableURL = performFishResponse.getMapParameters().get(PerformFishAnalyticsConstant.BATCHES_TABLE);
|
|
|
|
if (batchTableURL == null || batchTableURL.isEmpty())
|
|
Window.alert("Something seems wrong. No batches tables matching with parameter "
|
|
+ PerformFishAnalyticsConstant.BATCHES_TABLE + " returned from service");
|
|
|
|
StringBuilder dataInputsFormatter = new StringBuilder();
|
|
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_SCALEP_PARAM + "=" + scalePValue.name() + ";");
|
|
String theBatchType = viewController.getForm().getBatchType();
|
|
theBatchType = theBatchType.replace("_CLOSED_BATCHES", ""); // REMOVING
|
|
// SUFFIX
|
|
// _CLOSED_BATCHES
|
|
// FOR
|
|
// DATAMINER
|
|
// CALL
|
|
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_BATCHTYPE_PARAM + "=" + theBatchType + ";");
|
|
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_CHARTTYPE_PARAM + "=" + chartType + ";");
|
|
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_FARMFILE_PARAM + "=" + batchTableURL + ";");
|
|
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_FOCUS_PARAM + "=" + focusID + ";");
|
|
|
|
if (inputKPI != null && inputKPI.size() > 0) {
|
|
String kpiCodes = "";
|
|
for (KPI kpi : inputKPI) {
|
|
kpiCodes += kpi.getCode() + "|";
|
|
}
|
|
// remove last |
|
|
kpiCodes = kpiCodes.substring(0, kpiCodes.length() - 1);
|
|
|
|
GWT.log("Input KPICodes: " + kpiCodes);
|
|
// ADDING KPIs code
|
|
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_INPUT_KPI_PARAM + "=" + kpiCodes + ";");
|
|
|
|
}
|
|
|
|
if (outputKPI != null && outputKPI.size() > 0) {
|
|
String kpiCodes = "";
|
|
for (KPI kpi : outputKPI) {
|
|
kpiCodes += kpi.getCode() + "|";
|
|
}
|
|
// remove last |
|
|
kpiCodes = kpiCodes.substring(0, kpiCodes.length() - 1);
|
|
|
|
GWT.log("Output KPICodes: " + kpiCodes);
|
|
// ADDING KPIs code
|
|
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_OUTPUT_KPI_PARAM + "=" + kpiCodes + ";");
|
|
|
|
}
|
|
|
|
String dataInParameters = dataInputsFormatter.toString();
|
|
GWT.log("Calling DM service with client input parameters: " + dataInParameters);
|
|
|
|
Map<String, List<String>> mapParameters = new HashMap<String, List<String>>();
|
|
mapParameters.put(PerformFishAnalyticsConstant.DATA_INPUTS, Arrays.asList(dataInParameters));
|
|
|
|
final LoaderIcon loaderIcon = new LoaderIcon("Submitting request to " + chartType.getTitle() + " Analysis...");
|
|
loaderIcon.setVisible(true);
|
|
panelContainer.setVisible(true);
|
|
panelContainer.add(loaderIcon);
|
|
Scheduler.get().scheduleDeferred(new Scheduler.ScheduledCommand() {
|
|
@Override
|
|
public void execute() {
|
|
loaderIcon.setFocus(true);
|
|
}
|
|
});
|
|
|
|
PerformFishAnalyticsServiceAsync.Util.getInstance().callingDataMinerPerformFishAnalysis(mapParameters,
|
|
new AsyncCallback<DataMinerResponse>() {
|
|
|
|
@Override
|
|
public void onSuccess(DataMinerResponse dmResponse) {
|
|
loaderIcon.setVisible(false);
|
|
checkTabSpinner(requestPanel, tab);
|
|
// field_unary_algorithm.setVisible(true);
|
|
GWT.log("I'm displaying: " + dmResponse);
|
|
displayOutputFilesAsStaticEntities(dmResponse, chartType, inputKPI, outputKPI, focusID,
|
|
panelContainer, false, oIteration);
|
|
}
|
|
|
|
@Override
|
|
public void onFailure(Throwable caught) {
|
|
loaderIcon.setVisible(false);
|
|
checkTabSpinner(requestPanel, tab);
|
|
displayOutputFilesAsStaticEntities(null, chartType, inputKPI, outputKPI, focusID,
|
|
panelContainer, true, oIteration);
|
|
|
|
}
|
|
});
|
|
}
|
|
|
|
private String getOutputId(int oIteration, String title) {
|
|
String outputId = "OutputId_" + requestId + "_" + oIteration + "_" + 1;
|
|
return outputId;
|
|
|
|
}
|
|
|
|
private void displayOutputFilesAsStaticEntities(final DataMinerResponse dmResponse,
|
|
final DataMinerAlgorithms chartType, List<KPI> inputKPIs, List<KPI> outputKPIs, final String focusID,
|
|
final Panel container, boolean displayError, final int oIteration) {
|
|
|
|
String title = displayError ? "No results " : "";
|
|
|
|
if (displayError) {
|
|
Alert alert = new Alert(title);
|
|
alert.setType(AlertType.ERROR);
|
|
alert.setClose(false);
|
|
alert.getElement().getStyle().setMargin(10, Unit.PX);
|
|
container.add(alert);
|
|
return;
|
|
}
|
|
|
|
savePDFButton.setVisible(true);
|
|
final String toTitle = title;
|
|
|
|
for (OutputFile outputFile : dmResponse.getListOutput()) {
|
|
|
|
final FileContentType fileContentType = outputFile.getDataType();
|
|
switch (outputFile.getDataType()) {
|
|
case IMAGE:
|
|
PerformFishAnalyticsServiceAsync.Util.getInstance().getImageFile(outputFile,
|
|
new AsyncCallback<String>() {
|
|
|
|
@Override
|
|
public void onFailure(Throwable caught) {
|
|
// showAlert(caught.getMessage(),
|
|
// AlertType.ERROR, true,
|
|
// uib_vp_deanalanlysis_request_container);
|
|
Window.alert(caught.getMessage());
|
|
|
|
}
|
|
|
|
@Override
|
|
public void onSuccess(String base64Content) {
|
|
String title = toTitle;
|
|
|
|
String outputId = getOutputId(oIteration, title);
|
|
ShowResult showResult = new ShowResult(outputId, title, fileContentType);
|
|
showResult.showImage(base64Content);
|
|
container.add(showResult);
|
|
|
|
}
|
|
});
|
|
break;
|
|
case CSV:
|
|
PerformFishAnalyticsServiceAsync.Util.getInstance().getCSVFile(outputFile, true,
|
|
new AsyncCallback<CSVFile>() {
|
|
|
|
@Override
|
|
public void onFailure(Throwable caught) {
|
|
// showAlert(caught.getMessage(),
|
|
// AlertType.ERROR, true,
|
|
// uib_vp_deanalanlysis_request_container);
|
|
Window.alert(caught.getMessage());
|
|
}
|
|
|
|
@Override
|
|
public void onSuccess(CSVFile result) {
|
|
GWT.log("Displaying: " + result);
|
|
|
|
String cssTableStyle = "simpletable";
|
|
|
|
String title = toTitle;
|
|
|
|
String outputId = getOutputId(oIteration, title);
|
|
ShowResult showResult = new ShowResult(outputId, title, fileContentType);
|
|
showResult.showCSVFile(result, cssTableStyle);
|
|
container.add(showResult);
|
|
}
|
|
});
|
|
break;
|
|
|
|
default:
|
|
break;
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
/**
|
|
* Remove the spinner if all DM responses are returned.
|
|
*
|
|
* @param requestPanel
|
|
* the request panel
|
|
* @param tab
|
|
* the tab
|
|
*/
|
|
private void checkTabSpinner(SubmitRequestPanel requestPanel, Tab tab) {
|
|
requestPanel.incrementCompletedRequests();
|
|
int completed = requestPanel.getCompletedRequests();
|
|
int total = requestPanel.getTotalRequests();
|
|
|
|
if (completed >= total) {
|
|
viewController.noSpinner(tab);
|
|
}
|
|
}
|
|
|
|
private static native void saveFilePDF(String chartType, String filename, String tabTitle, String tabDescr,
|
|
int requestId, int outputIteration, int outputNumber)/*-{
|
|
var that = this;
|
|
console.log('saveFilePDF()');
|
|
console.log('requestId: ' + requestId);
|
|
console.log('OutputIteration: ' + outputIteration);
|
|
console.log('OutputNumber:' + outputNumber);
|
|
|
|
var tTitle = tabTitle;
|
|
var tDescr = tabDescr;
|
|
|
|
var pdoc = new jsPDF("p", "mm", "a4");
|
|
pdoc.setProperties({
|
|
title : 'PerformFish ' + tTitle,
|
|
subject : ' Results',
|
|
author : 'PerformFish',
|
|
keywords : 'PerformFish',
|
|
creator : 'D4Science'
|
|
});
|
|
|
|
var lMargin = 15; //left margin in mm
|
|
var rMargin = 15; //right margin in mm
|
|
var tMargin = 15; //top margin in mm
|
|
var bMargin = 15; //bottom margin in mm
|
|
var pdfWidthInMM = 210; // width of A4 in mm
|
|
var pdfHeightInMM = 297; // height of A4 in mm
|
|
var pageCenter = pdfWidthInMM / 2;
|
|
|
|
pdoc.setFontSize(24);
|
|
var title = "PerformFish " + tTitle;
|
|
var titleHeight = pdoc.getLineHeight(title) / pdoc.internal.scaleFactor
|
|
var xPos = lMargin;
|
|
var yPos = tMargin;
|
|
pdoc.text(title, pageCenter, yPos, 'center');
|
|
yPos += titleHeight;
|
|
|
|
pdoc.setFontSize(10);
|
|
var lineHeight = pdoc.getLineHeight(tDescr) / pdoc.internal.scaleFactor
|
|
var splittedAnalysisDescription = pdoc.splitTextToSize(tDescr,
|
|
(pdfWidthInMM - lMargin - rMargin));
|
|
var lines = splittedAnalysisDescription.length // splitted text is a string array
|
|
var analysisDescriptionHeight = lines * lineHeight
|
|
|
|
pdoc.text(splittedAnalysisDescription, xPos, yPos, 'left');
|
|
yPos += analysisDescriptionHeight;
|
|
|
|
//yPos += 2;
|
|
//pdoc.text("Analysis:", xPos, yPos, 'left');
|
|
yPos += 6;
|
|
|
|
for (var i = 1; i <= outputIteration; i++) {
|
|
|
|
var kpiId = 'KPI_Scatter_' + requestId + '_' + i;
|
|
console.log('kpiId: ' + kpiId);
|
|
|
|
var kpiName = $doc.getElementById(kpiId);
|
|
|
|
yPos += 2;
|
|
pdoc.setFontSize(14);
|
|
pdoc.setFontType("bold");
|
|
|
|
var kpiText = kpiName.textContent;
|
|
var kpiHeight = pdoc.getLineHeight(kpiText)
|
|
/ pdoc.internal.scaleFactor;
|
|
var splittedKpiName = pdoc.splitTextToSize(kpiText, (pdfWidthInMM
|
|
- lMargin - rMargin));
|
|
var kpiLines = splittedKpiName.length; // splitted text is a string array
|
|
var kpiLinesHeight = kpiLines * kpiHeight;
|
|
pdoc.text(splittedKpiName, xPos, yPos, 'left');
|
|
yPos += kpiLinesHeight;
|
|
yPos += 6;
|
|
|
|
pdoc.setFontSize(10);
|
|
pdoc.setFontType("normal");
|
|
|
|
for (var j = 1; j <= outputNumber; j++) {
|
|
|
|
var outputId = 'OutputId_' + requestId + '_' + i + '_' + j;
|
|
console.log('OutputId: ' + outputId);
|
|
|
|
var resultOutputNumber = $doc.getElementById(outputId);
|
|
|
|
console.log('OutputId_: ' + resultOutputNumber.innerHTML);
|
|
var resultType = resultOutputNumber.className;
|
|
|
|
console.log('resultOutputNumber className: ' + resultType);
|
|
|
|
if (typeof resultType !== 'undefined' && resultType !== null
|
|
&& resultType !== '') {
|
|
|
|
if (resultType == 'csv') {
|
|
console.log('Result Type csv: ' + i);
|
|
// foo could get resolved and it's defined
|
|
|
|
var childrenTable = resultOutputNumber.children;
|
|
var titleCurrentTable = childrenTable[0].rows[0].cells[0];
|
|
console.log('Title current table: '
|
|
+ titleCurrentTable.textContent);
|
|
yPos += 2;
|
|
pdoc.setFontSize(10);
|
|
pdoc.setFontType("bold");
|
|
pdoc.text(titleCurrentTable.textContent, xPos, yPos,
|
|
'left');
|
|
yPos += 6;
|
|
|
|
pdoc.setFontSize(10);
|
|
pdoc.setFontType("normal");
|
|
|
|
var secondDiv = childrenTable[0].rows[1].cells[0];
|
|
var secondTable = secondDiv.children[0].children[0];
|
|
|
|
console.log('CSV SecondTable: ' + secondTable);
|
|
|
|
pdoc.autoTable({
|
|
theme : 'grid',
|
|
startY : yPos,
|
|
pageBreak : 'auto',
|
|
bodyStyles : {
|
|
fontSize : 9
|
|
},
|
|
html : secondTable
|
|
});
|
|
|
|
yPos = pdoc.previousAutoTable.finalY + 6;
|
|
} else {
|
|
if (resultType == 'image') {
|
|
console.log('Result Type image: ' + i);
|
|
var childrenTable = resultOutputNumber.children;
|
|
|
|
var titleCurrentImage = childrenTable[0].rows[0].cells[0];
|
|
console.log('Title current image: '
|
|
+ titleCurrentImage.textContent);
|
|
yPos += 2;
|
|
pdoc.setFontSize(10);
|
|
pdoc.setFontType("bold");
|
|
pdoc.text(titleCurrentImage.textContent, xPos,
|
|
yPos, 'left');
|
|
yPos += 6;
|
|
|
|
pdoc.setFontSize(10);
|
|
pdoc.setFontType("normal");
|
|
|
|
var secondDiv = childrenTable[0].rows[1].cells[0];
|
|
var imageElement = secondDiv.getElementsByTagName(
|
|
'img').item(0);
|
|
console.log('Image element: ' + imageElement);
|
|
pdoc.addImage(imageElement, lMargin, yPos);
|
|
console.log('Image Height: ' + imageElement.height);
|
|
yPos += (imageElement.height * 0.26458333);
|
|
|
|
} else {
|
|
console.log('Result Type unknow: ' + i);
|
|
}
|
|
|
|
}
|
|
} else {
|
|
console.log('Result Type is undefined:' + i);
|
|
}
|
|
|
|
}
|
|
|
|
if (i == outputNumber) {
|
|
|
|
} else {
|
|
if (pdfHeightInMM - yPos < pdfHeightInMM / 4) {
|
|
pdoc.addPage();
|
|
yPos = tMargin; // Restart position
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
var numberOfPages=pdoc.internal.getNumberOfPages()
|
|
console.log('NumberOfPages: ' + numberOfPages);
|
|
for (var k = 1; k <= numberOfPages; k++) {
|
|
pdoc.setPage(k);
|
|
console.log('CurrentPage: ' + k);
|
|
var footner = 'Page ' + k + "/"+numberOfPages;
|
|
pdoc.text(footner, pageCenter, pdfHeightInMM - 7, 'center');
|
|
|
|
}
|
|
|
|
console.log('Done');
|
|
|
|
pdoc.save(filename);
|
|
|
|
}-*/;
|
|
}
|