ref 17249: Save produced charts as report
https://support.d4science.org/issues/17249 Added PDF supportFeature/17249
Giancarlo Panichi
4 years ago
parent
988cace4e7
commit
5df51216d7
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package org.gcube.portlets.user.performfishanalytics.client.request;
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import java.io.Serializable;
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import org.gcube.portlets.user.performfishanalytics.client.DataMinerAlgorithms;
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public class RequestInfo implements Serializable {
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private static final long serialVersionUID = -2786256071405466977L;
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private int outputIteration;
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private int outputNumber;
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private DataMinerAlgorithms dataminerAlgorithms;
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public RequestInfo(){
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super();
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}
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public RequestInfo(int outputIteration, int outputNumber, DataMinerAlgorithms dataminerAlgorithms) {
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super();
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this.outputIteration = outputIteration;
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this.outputNumber = outputNumber;
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this.dataminerAlgorithms = dataminerAlgorithms;
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}
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public int getOutputIteration() {
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return outputIteration;
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}
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public void setOutputIteration(int outputIteration) {
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this.outputIteration = outputIteration;
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}
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public int getOutputNumber() {
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return outputNumber;
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}
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public void setOutputNumber(int outputNumber) {
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this.outputNumber = outputNumber;
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}
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public DataMinerAlgorithms getDataminerAlgorithms() {
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return dataminerAlgorithms;
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}
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public void setDataminerAlgorithms(DataMinerAlgorithms dataminerAlgorithms) {
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this.dataminerAlgorithms = dataminerAlgorithms;
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}
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@Override
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public String toString() {
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return "RequestInfo [outputIteration=" + outputIteration + ", outputNumber=" + outputNumber
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+ ", dataminerAlgorithms=" + dataminerAlgorithms + "]";
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}
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}
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package org.gcube.portlets.user.performfishanalytics.client.viewbinder;
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import java.util.Arrays;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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import org.gcube.portlets.user.performfishanalytics.client.DataMinerAlgorithms;
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import org.gcube.portlets.user.performfishanalytics.client.PerformFishAnalyticsConstant;
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import org.gcube.portlets.user.performfishanalytics.client.PerformFishAnalyticsConstant.POPULATION_LEVEL;
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import org.gcube.portlets.user.performfishanalytics.client.PerformFishAnalyticsServiceAsync;
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import org.gcube.portlets.user.performfishanalytics.client.controllers.PerformFishAnalyticsViewController;
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import org.gcube.portlets.user.performfishanalytics.client.resources.PerformFishResources;
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import org.gcube.portlets.user.performfishanalytics.client.view.LoaderIcon;
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import org.gcube.portlets.user.performfishanalytics.shared.KPI;
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import org.gcube.portlets.user.performfishanalytics.shared.OutputFile;
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import org.gcube.portlets.user.performfishanalytics.shared.csv.CSVFile;
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import org.gcube.portlets.user.performfishanalytics.shared.dataminer.DataMinerResponse;
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import org.gcube.portlets.user.performfishanalytics.shared.performfishservice.PerformFishResponse;
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import com.github.gwtbootstrap.client.ui.Alert;
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import com.github.gwtbootstrap.client.ui.Button;
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import com.github.gwtbootstrap.client.ui.Tab;
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import com.github.gwtbootstrap.client.ui.constants.AlertType;
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import com.github.gwtbootstrap.client.ui.constants.IconType;
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import com.google.gwt.core.client.Scheduler;
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import com.google.gwt.core.shared.GWT;
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import com.google.gwt.dom.client.Style.Unit;
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import com.google.gwt.event.dom.client.ClickEvent;
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import com.google.gwt.event.dom.client.ClickHandler;
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import com.google.gwt.resources.client.TextResource;
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import com.google.gwt.user.client.Window;
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import com.google.gwt.user.client.rpc.AsyncCallback;
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import com.google.gwt.user.client.ui.ComplexPanel;
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import com.google.gwt.user.client.ui.FlexTable;
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import com.google.gwt.user.client.ui.HTML;
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import com.google.gwt.user.client.ui.HorizontalPanel;
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import com.google.gwt.user.client.ui.Panel;
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public class BoxPlotPanelResult {
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private Map<Integer, FlexTable> boxPlotOrderBy = new HashMap<Integer, FlexTable>();
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private PerformFishAnalyticsViewController viewController;
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private int outputIteration = 0;
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private int outputNumber = 0;
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private int requestId;
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public BoxPlotPanelResult(int reqId,PerformFishAnalyticsViewController viewController, final DataMinerAlgorithms algorithm,
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String focusID, List<KPI> inputKPI, final List<KPI> outputKPI) {
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this.requestId=reqId;
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this.viewController = viewController;
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TextResource algDescr = PerformFishResources.INSTANCE.batch_BOXPLOT();
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String algDesrTxt = algDescr != null ? algDescr.getText() : null;
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// TODO
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final String tabTitle = algorithm.getTitle();
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final String tabDescr = algDesrTxt;
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final SubmitRequestPanel submitRequestPanel = new SubmitRequestPanel("", 1);
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Tab tab = viewController.createTab(tabTitle + " #" + (viewController.currentNumberOfTab() + 1), algDesrTxt,
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submitRequestPanel);
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HorizontalPanel res = new HorizontalPanel();
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Button savePDFButton = new Button();
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savePDFButton.getElement().getStyle().setMargin(10, Unit.PX);
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savePDFButton.setIcon(IconType.PRINT);
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savePDFButton.addClickHandler(new ClickHandler() {
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@Override
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public void onClick(ClickEvent event) {
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saveFilePDF(algorithm.getId(), tabTitle, tabTitle, tabDescr, requestId, outputIteration, outputNumber);
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// dmResponse.getListOutput().size()
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}
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});
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res.add(savePDFButton);
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submitRequestPanel.addWidget(res);
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int oIteration = 0;
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submitRequestPanel.setTotalRequests(inputKPI.size());
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for (KPI kpi : inputKPI) {
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oIteration++;
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String title = "KPI: " + kpi.getName();
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HTML toBigTitle = new HTML(title);
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toBigTitle.getElement().addClassName("to-big-title");
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submitRequestPanel.addWidget(toBigTitle);
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HorizontalPanel hp = new HorizontalPanel();
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hp.getElement().addClassName("ext-horizontal-panel");
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callDataMinerServiceForChart(viewController.getPerformFishResponse(), POPULATION_LEVEL.BATCH,
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Arrays.asList(kpi), Arrays.asList(kpi), algorithm, focusID, submitRequestPanel, hp, tab,
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oIteration);
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// resultPanel.add(hp);
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submitRequestPanel.addWidget(hp);
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}
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outputIteration = oIteration;
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}
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private void callDataMinerServiceForChart(PerformFishResponse performFishResponse, POPULATION_LEVEL scalePValue,
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final List<KPI> inputKPI, final List<KPI> outputKPI, final DataMinerAlgorithms chartType,
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final String focusID, final SubmitRequestPanel requestPanel, final ComplexPanel panelContainer,
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final Tab tab, final int oIteration) {
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GWT.log("Read perform fish response: " + performFishResponse);
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String batchTableURL = performFishResponse.getMapParameters().get(PerformFishAnalyticsConstant.BATCHES_TABLE);
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if (batchTableURL == null || batchTableURL.isEmpty())
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Window.alert("Something seems wrong. No batches tables matching with parameter "
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+ PerformFishAnalyticsConstant.BATCHES_TABLE + " returned from service");
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StringBuilder dataInputsFormatter = new StringBuilder();
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_SCALEP_PARAM + "=" + scalePValue.name() + ";");
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String theBatchType = viewController.getForm().getBatchType();
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theBatchType = theBatchType.replace("_CLOSED_BATCHES", ""); // REMOVING
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// SUFFIX
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// _CLOSED_BATCHES
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// FOR
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// DATAMINER
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// CALL
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_BATCHTYPE_PARAM + "=" + theBatchType + ";");
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_CHARTTYPE_PARAM + "=" + chartType + ";");
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_FARMFILE_PARAM + "=" + batchTableURL + ";");
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_FOCUS_PARAM + "=" + focusID + ";");
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if (inputKPI != null && inputKPI.size() > 0) {
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String kpiCodes = "";
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for (KPI kpi : inputKPI) {
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kpiCodes += kpi.getCode() + "|";
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}
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// remove last |
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kpiCodes = kpiCodes.substring(0, kpiCodes.length() - 1);
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GWT.log("Input KPICodes: " + kpiCodes);
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// ADDING KPIs code
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_INPUT_KPI_PARAM + "=" + kpiCodes + ";");
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}
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if (outputKPI != null && outputKPI.size() > 0) {
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String kpiCodes = "";
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for (KPI kpi : outputKPI) {
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kpiCodes += kpi.getCode() + "|";
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}
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// remove last |
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kpiCodes = kpiCodes.substring(0, kpiCodes.length() - 1);
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GWT.log("Output KPICodes: " + kpiCodes);
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// ADDING KPIs code
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_OUTPUT_KPI_PARAM + "=" + kpiCodes + ";");
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}
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String dataInParameters = dataInputsFormatter.toString();
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GWT.log("Calling DM service with client input parameters: " + dataInParameters);
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Map<String, List<String>> mapParameters = new HashMap<String, List<String>>();
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mapParameters.put(PerformFishAnalyticsConstant.DATA_INPUTS, Arrays.asList(dataInParameters));
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final LoaderIcon loaderIcon = new LoaderIcon("Submitting request to " + chartType.getTitle() + " Analysis...");
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loaderIcon.setVisible(true);
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panelContainer.setVisible(true);
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panelContainer.add(loaderIcon);
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Scheduler.get().scheduleDeferred(new Scheduler.ScheduledCommand() {
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@Override
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public void execute() {
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loaderIcon.setFocus(true);
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}
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});
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PerformFishAnalyticsServiceAsync.Util.getInstance().callingDataMinerPerformFishAnalysis(mapParameters,
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new AsyncCallback<DataMinerResponse>() {
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@Override
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public void onSuccess(DataMinerResponse dmResponse) {
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loaderIcon.setVisible(false);
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checkTabSpinner(requestPanel, tab);
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// field_unary_algorithm.setVisible(true);
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GWT.log("I'm displaying: " + dmResponse);
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displayOutputFilesAsStaticEntities(dmResponse, chartType, inputKPI, outputKPI, focusID,
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panelContainer, false, oIteration);
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}
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@Override
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public void onFailure(Throwable caught) {
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loaderIcon.setVisible(false);
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checkTabSpinner(requestPanel, tab);
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displayOutputFilesAsStaticEntities(null, chartType, inputKPI, outputKPI, focusID,
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panelContainer, true, oIteration);
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}
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});
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}
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private void displayOutputFilesAsStaticEntities(final DataMinerResponse dmResponse,
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final DataMinerAlgorithms chartType, List<KPI> inputKPIs, List<KPI> outputKPIs, final String focusID,
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final Panel container, boolean displayError, int oIteration) {
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String title = displayError ? "No results " : "";
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if (displayError) {
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Alert alert = new Alert(title);
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alert.setType(AlertType.ERROR);
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alert.setClose(false);
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alert.getElement().getStyle().setMargin(10, Unit.PX);
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container.add(alert);
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return;
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}
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final String toTitle = title;
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outputNumber = dmResponse.getListOutput().size();
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int oNumber = 0;
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for (final OutputFile outputFile : dmResponse.getListOutput()) {
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oNumber++;
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final String outputId = "OutputId_" +requestId+"_"+ oIteration + "_" + oNumber;
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switch (outputFile.getDataType()) {
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case IMAGE:
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PerformFishAnalyticsServiceAsync.Util.getInstance().getImageFile(outputFile,
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new AsyncCallback<String>() {
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@Override
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public void onFailure(Throwable caught) {
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// showAlert(caught.getMessage(),
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// AlertType.ERROR, true,
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// uib_vp_deanalanlysis_request_container);
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Window.alert(caught.getMessage());
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}
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@Override
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public void onSuccess(String base64Content) {
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String title = toTitle;
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title = chartType.getName() + " - on all batches<br>";
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title += "Blue dots indicate the selected batch(es): " + focusID;
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ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
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showResult.showImage(base64Content);
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displayingOrderedBoxPlot(dmResponse, title, container, showResult);
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}
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});
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break;
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case CSV:
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PerformFishAnalyticsServiceAsync.Util.getInstance().getCSVFile(outputFile, true,
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new AsyncCallback<CSVFile>() {
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@Override
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public void onFailure(Throwable caught) {
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// showAlert(caught.getMessage(),
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// AlertType.ERROR, true,
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// uib_vp_deanalanlysis_request_container);
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Window.alert(caught.getMessage());
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}
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@Override
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public void onSuccess(CSVFile result) {
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GWT.log("Displaying: " + result);
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String cssTableStyle = "simpletable";
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String title = toTitle;
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if (result.getFileName().contains("_user")) {
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title = "My Batch(es)";
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} else {
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title = "All batches in the VRE (including mine)";
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}
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title += "<br>";
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title += "Data aggregation is performed by considering batches as base units";
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ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
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showResult.showCSVFile(result, cssTableStyle);
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displayingOrderedBoxPlot(dmResponse, title, container, showResult);
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}
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});
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break;
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default:
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break;
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}
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}
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}
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private void displayingOrderedBoxPlot(final DataMinerResponse dmResponse, String title, final Panel container,
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ShowResult showResult) {
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int hashcode = dmResponse.hashCode();
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GWT.log("The hascode is: " + hashcode);
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FlexTable flex = boxPlotOrderBy.get(hashcode);
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if (flex == null) {
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GWT.log("The flextable is null");
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flex = new FlexTable();
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boxPlotOrderBy.put(hashcode, flex);
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container.add(flex);
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}
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if (title.startsWith("My")) {
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flex.setWidget(0, 0, showResult);
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} else if (title.startsWith("All")) {
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flex.setWidget(0, 1, showResult);
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} else {
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flex.setWidget(0, 2, showResult);
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}
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}
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/**
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* Remove the spinner if all DM responses are returned.
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*
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* @param requestPanel
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* the request panel
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* @param tab
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* the tab
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*/
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private void checkTabSpinner(SubmitRequestPanel requestPanel, Tab tab) {
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requestPanel.incrementCompletedRequests();
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int completed = requestPanel.getCompletedRequests();
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int total = requestPanel.getTotalRequests();
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if (completed >= total) {
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viewController.noSpinner(tab);
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}
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}
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private static native void saveFilePDF(String chartType, String filename, String tabTitle, String tabDescr,
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int requestId, int outputIteration, int outputNumber)/*-{
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var that = this;
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console.log('saveFilePDF()');
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console.log('requestId: '+requestId);
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console.log('OutputIteration: ' + outputIteration);
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console.log('OutputNumber:' + outputNumber);
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var tTitle = tabTitle;
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var tDescr = tabDescr;
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var pdoc = new jsPDF("p", "mm", "a4");
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pdoc.setProperties({
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title : 'PerformFish ' + tTitle,
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subject : ' Results',
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author : 'PerformFish',
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keywords : 'PerformFish',
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creator : 'D4Science'
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});
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var lMargin = 15; //left margin in mm
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var rMargin = 15; //right margin in mm
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var tMargin = 15; //top margin in mm
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var bMargin = 15; //bottom margin in mm
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var pdfWidthInMM = 210; // width of A4 in mm
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var pdfHeightInMM = 297; // height of A4 in mm
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var pageCenter = pdfWidthInMM / 2;
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pdoc.setFontSize(24);
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var title = "PerformFish " + tTitle;
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var titleHeight = pdoc.getLineHeight(title) / pdoc.internal.scaleFactor
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var xPos = lMargin;
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var yPos = tMargin;
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pdoc.text(title, pageCenter, yPos, 'center');
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yPos += titleHeight;
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pdoc.setFontSize(10);
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var lineHeight = pdoc.getLineHeight(tDescr) / pdoc.internal.scaleFactor
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var splittedAnalysisDescription = pdoc.splitTextToSize(tDescr,
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(pdfWidthInMM - lMargin - rMargin));
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var lines = splittedAnalysisDescription.length // splitted text is a string array
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var analysisDescriptionHeight = lines * lineHeight
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pdoc.text(splittedAnalysisDescription, xPos, yPos, 'left');
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yPos += analysisDescriptionHeight;
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//yPos += 2;
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//pdoc.text("Analysis:", xPos, yPos, 'left');
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yPos += 6;
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for (var i = 1; i <= outputIteration; i++) {
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for (var j = 1; j <= outputNumber; j++) {
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var outputId = 'OutputId_'+requestId+'_'+ i + '_' + j;
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console.log('OutputId: ' + outputId);
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var resultOutputNumber = $doc.getElementById(outputId);
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console.log('OutputId_: ' + resultOutputNumber.innerHTML);
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var resultType = resultOutputNumber.className;
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console.log('resultOutputNumber className: ' + resultType);
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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 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 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);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Done');
|
||||
|
||||
pdoc.save(filename);
|
||||
|
||||
}-*/;
|
||||
|
||||
}
|
||||
@ -0,0 +1,417 @@
|
||||
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.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.HorizontalPanel;
|
||||
import com.google.gwt.user.client.ui.Panel;
|
||||
|
||||
public class ScatterPanelResult {
|
||||
|
||||
private PerformFishAnalyticsViewController viewController;
|
||||
private int requestId;
|
||||
private int outputIteration = 0;
|
||||
private int outputNumber = 0;
|
||||
|
||||
public ScatterPanelResult(int reqId,PerformFishAnalyticsViewController viewController,
|
||||
final DataMinerAlgorithms algorithm, String focusID, List<KPI> inputKPI, final List<KPI> outputKPI) {
|
||||
this.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();
|
||||
|
||||
Button 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()
|
||||
}
|
||||
});
|
||||
|
||||
res.add(savePDFButton);
|
||||
submitRequestPanel.addWidget(res);
|
||||
int oIteration = 1;
|
||||
|
||||
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 titleScatter = "KPI: " + inputKPI.get(0).getName() + " vs " + inputKPI.get(1).getName();
|
||||
submitRequestPanel.setTheTitle(titleScatter);
|
||||
|
||||
callDataMinerServiceForChart(viewController.getPerformFishResponse(), POPULATION_LEVEL.BATCH, inputKPI,
|
||||
outputKPI, algorithm, focusID, submitRequestPanel, submitRequestPanel.getContainerPanel(), tab,
|
||||
oIteration);
|
||||
outputIteration = oIteration;
|
||||
|
||||
}
|
||||
|
||||
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 void displayOutputFilesAsStaticEntities(final DataMinerResponse dmResponse,
|
||||
final DataMinerAlgorithms chartType, List<KPI> inputKPIs, List<KPI> outputKPIs, final String focusID,
|
||||
final Panel container, boolean displayError, 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;
|
||||
}
|
||||
|
||||
final String toTitle = title;
|
||||
|
||||
outputNumber = dmResponse.getListOutput().size();
|
||||
|
||||
int oNumber = 0;
|
||||
|
||||
for (final OutputFile outputFile : dmResponse.getListOutput()) {
|
||||
oNumber++;
|
||||
final String outputId = "OutputId_" + requestId+"_"+oIteration + "_" + oNumber;
|
||||
|
||||
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;
|
||||
|
||||
ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
|
||||
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;
|
||||
|
||||
ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
|
||||
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++) {
|
||||
|
||||
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 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 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);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Done');
|
||||
|
||||
pdoc.save(filename);
|
||||
|
||||
}-*/;
|
||||
}
|
||||
@ -0,0 +1,420 @@
|
||||
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.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 SpeedometerPanelResult {
|
||||
|
||||
private PerformFishAnalyticsViewController viewController;
|
||||
private int requestId;
|
||||
private int outputIteration = 0;
|
||||
private int outputNumber = 0;
|
||||
|
||||
public SpeedometerPanelResult(int reqId,PerformFishAnalyticsViewController viewController,
|
||||
final DataMinerAlgorithms algorithm, String focusID, List<KPI> inputKPI, final List<KPI> outputKPI) {
|
||||
this.requestId=reqId;
|
||||
this.viewController = viewController;
|
||||
TextResource algDescr = PerformFishResources.INSTANCE.batch_SPEEDOMETER();
|
||||
|
||||
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();
|
||||
|
||||
Button 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);
|
||||
}
|
||||
});
|
||||
|
||||
res.add(savePDFButton);
|
||||
submitRequestPanel.addWidget(res);
|
||||
int oIteration = 0;
|
||||
|
||||
submitRequestPanel.setTotalRequests(inputKPI.size());
|
||||
for (KPI kpi : inputKPI) {
|
||||
oIteration++;
|
||||
String title = "KPI: " + kpi.getName();
|
||||
HTML toBigTitle = new HTML(title);
|
||||
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,
|
||||
Arrays.asList(kpi), Arrays.asList(kpi), algorithm, focusID, submitRequestPanel, hp, tab,
|
||||
oIteration);
|
||||
// resultPanel.add(hp);
|
||||
submitRequestPanel.addWidget(hp);
|
||||
}
|
||||
outputIteration = oIteration;
|
||||
|
||||
}
|
||||
|
||||
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 void displayOutputFilesAsStaticEntities(final DataMinerResponse dmResponse,
|
||||
final DataMinerAlgorithms chartType, List<KPI> inputKPIs, List<KPI> outputKPIs, final String focusID,
|
||||
final Panel container, boolean displayError, 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;
|
||||
}
|
||||
|
||||
final String toTitle = title;
|
||||
|
||||
outputNumber = dmResponse.getListOutput().size();
|
||||
|
||||
int oNumber = 0;
|
||||
|
||||
for (final OutputFile outputFile : dmResponse.getListOutput()) {
|
||||
oNumber++;
|
||||
final String outputId = "OutputId_" +requestId+"_"+ oIteration + "_" + oNumber;
|
||||
|
||||
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;
|
||||
|
||||
title = chartType.getTitle() + "<br>";
|
||||
title += "Selected Batch ID: " + focusID + "<br>";
|
||||
title += "Normalized with respect to all batches in the VRE";
|
||||
|
||||
ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
|
||||
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;
|
||||
|
||||
ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
|
||||
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++) {
|
||||
|
||||
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 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 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);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Done');
|
||||
|
||||
pdoc.save(filename);
|
||||
|
||||
}-*/;
|
||||
}
|
||||
@ -0,0 +1,427 @@
|
||||
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.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.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.user.client.Window;
|
||||
import com.google.gwt.user.client.rpc.AsyncCallback;
|
||||
import com.google.gwt.user.client.ui.FlexTable;
|
||||
import com.google.gwt.user.client.ui.HTMLPanel;
|
||||
import com.google.gwt.user.client.ui.HorizontalPanel;
|
||||
import com.google.gwt.user.client.ui.Panel;
|
||||
|
||||
public class SynopticTablePanelResult {
|
||||
|
||||
private Map<Integer, FlexTable> synopticOrderBy = new HashMap<Integer, FlexTable>();
|
||||
|
||||
private PerformFishAnalyticsViewController viewController;
|
||||
private int requestId;
|
||||
private int outputIteration = 0;
|
||||
private int outputNumber = 0;
|
||||
|
||||
public SynopticTablePanelResult(int reqId, PerformFishAnalyticsViewController viewController,
|
||||
PerformFishResponse performFishResponse, final Map<String, List<String>> performFishRequestParameters) {
|
||||
this.requestId = reqId;
|
||||
this.viewController = viewController;
|
||||
|
||||
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");
|
||||
|
||||
final Map<String, List<String>> mapParameters = new HashMap<String, List<String>>();
|
||||
|
||||
StringBuilder dataInputsFormatter = new StringBuilder();
|
||||
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_INPUT_TABLE + "=" + batchTableURL + ";");
|
||||
|
||||
// READ THE INPUT FILE
|
||||
String popType = viewController.getForm().getBatchType();
|
||||
|
||||
DataMinerAlgorithms chartType = null;
|
||||
if (popType.equalsIgnoreCase(PerformFishAnalyticsConstant.BATCH_LEVEL.GROW_OUT_INDIVIDUAL_CLOSED_BATCHES.name())
|
||||
|| popType.equalsIgnoreCase(PerformFishAnalyticsConstant.BATCH_LEVEL.GROW_OUT_INDIVIDUAL.name())) {
|
||||
chartType = DataMinerAlgorithms.PERFORMFISH_SYNOPTICTABLE_BATCH;
|
||||
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_QUARTER_LABELS + "="
|
||||
+ PerformFishAnalyticsConstant.DM_VALUE_ALL + ";");
|
||||
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_ZONE_LABELS + "="
|
||||
+ PerformFishAnalyticsConstant.DM_VALUE_ALL + ";");
|
||||
} else if (popType
|
||||
.equalsIgnoreCase(PerformFishAnalyticsConstant.BATCH_LEVEL.HATCHERY_INDIVIDUAL_CLOSED_BATCHES.name())
|
||||
|| popType.equalsIgnoreCase(PerformFishAnalyticsConstant.BATCH_LEVEL.HATCHERY_INDIVIDUAL.name())) {
|
||||
chartType = DataMinerAlgorithms.PERFORMFISH_SYNOPTICTABLE_BATCH_HATCHERY;
|
||||
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_STOCKING_PERIOD + "="
|
||||
+ PerformFishAnalyticsConstant.DM_VALUE_ALL + ";");
|
||||
} else if (popType.equalsIgnoreCase(PerformFishAnalyticsConstant.BATCH_LEVEL.PRE_ONGROWING.name()) || popType
|
||||
.equalsIgnoreCase(PerformFishAnalyticsConstant.BATCH_LEVEL.PRE_ONGROWING_CLOSED_BATCHES.name())) {
|
||||
chartType = DataMinerAlgorithms.PERFORMFISH_SYNOPTICTABLE_BATCH_PREGROW;
|
||||
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_ZONE_LABELS + "="
|
||||
+ PerformFishAnalyticsConstant.DM_VALUE_ALL + ";");
|
||||
dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_STOCKING_PERIOD + "="
|
||||
+ PerformFishAnalyticsConstant.DM_VALUE_ALL + ";");
|
||||
}
|
||||
|
||||
String dataInParameters = dataInputsFormatter.toString();
|
||||
mapParameters.put(PerformFishAnalyticsConstant.DATA_INPUTS, Arrays.asList(dataInParameters));
|
||||
mapParameters.put("Identifier", Arrays.asList(
|
||||
"org.gcube.dataanalysis.wps.statisticalmanager.synchserver.mappedclasses.transducerers." + chartType));
|
||||
|
||||
GWT.log("Calling DM service with client input parameters: " + mapParameters);
|
||||
|
||||
final SubmitRequestPanel submitRequestPanel = new SubmitRequestPanel("", 1);
|
||||
// submitRequestPanel.getElement().addClassName("ext-horizontal-panel");
|
||||
|
||||
// TODO
|
||||
final DataMinerAlgorithms algorithm = chartType;
|
||||
final String tabTitle = "Synoptic Table";
|
||||
final String tabDescr = PerformFishResources.INSTANCE.synopticTable().getText();
|
||||
final Tab tab = viewController.createTab(tabTitle + " #" + (viewController.currentNumberOfTab() + 1),
|
||||
PerformFishResources.INSTANCE.synopticTable().getText(), submitRequestPanel);
|
||||
HorizontalPanel res = new HorizontalPanel();
|
||||
|
||||
Button 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()
|
||||
}
|
||||
});
|
||||
|
||||
res.add(savePDFButton);
|
||||
submitRequestPanel.addWidget(res);
|
||||
outputIteration=1;
|
||||
|
||||
final HTMLPanel panelContainer = submitRequestPanel.getContainerPanel();
|
||||
|
||||
final LoaderIcon loaderIcon = new LoaderIcon(
|
||||
"Submitting request to " + DataMinerAlgorithms.PERFORMFISH_SYNOPTICTABLE_BATCH.getTitle() + "...");
|
||||
loaderIcon.setVisible(true);
|
||||
panelContainer.setVisible(true);
|
||||
panelContainer.add(loaderIcon);
|
||||
Scheduler.get().scheduleDeferred(new Scheduler.ScheduledCommand() {
|
||||
@Override
|
||||
public void execute() {
|
||||
loaderIcon.setFocus(true);
|
||||
}
|
||||
});
|
||||
|
||||
final DataMinerAlgorithms toFinalChartType = chartType;
|
||||
PerformFishAnalyticsServiceAsync.Util.getInstance().callDMServiceToLoadSynopticTable(performFishResponse,
|
||||
mapParameters, new AsyncCallback<DataMinerResponse>() {
|
||||
|
||||
@Override
|
||||
public void onSuccess(DataMinerResponse dmResponse) {
|
||||
loaderIcon.setVisible(false);
|
||||
checkTabSpinner(submitRequestPanel, tab);
|
||||
// field_unary_algorithm.setVisible(true);
|
||||
GWT.log("I'm displaying: " + dmResponse);
|
||||
displayOutputFilesAsStaticEntities(dmResponse, toFinalChartType, null, null, null,
|
||||
panelContainer, false, 1);
|
||||
}
|
||||
|
||||
@Override
|
||||
public void onFailure(Throwable caught) {
|
||||
loaderIcon.setVisible(false);
|
||||
checkTabSpinner(submitRequestPanel, tab);
|
||||
displayOutputFilesAsStaticEntities(null, toFinalChartType, null, null, null, panelContainer,
|
||||
true, 1);
|
||||
|
||||
}
|
||||
});
|
||||
|
||||
}
|
||||
|
||||
/**
|
||||
* 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 void displayOutputFilesAsStaticEntities(final DataMinerResponse dmResponse,
|
||||
final DataMinerAlgorithms chartType, List<KPI> inputKPIs, List<KPI> outputKPIs, final String focusID,
|
||||
final Panel container, boolean displayError, 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;
|
||||
}
|
||||
|
||||
final String toTitle = title;
|
||||
|
||||
outputNumber = dmResponse.getListOutput().size();
|
||||
|
||||
int oNumber = 0;
|
||||
|
||||
for (final OutputFile outputFile : dmResponse.getListOutput()) {
|
||||
oNumber++;
|
||||
final String outputId = "OutputId_" + requestId + "_" + oIteration + "_" + oNumber;
|
||||
|
||||
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;
|
||||
|
||||
ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
|
||||
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;
|
||||
switch (chartType) {
|
||||
case PERFORMFISH_SYNOPTICTABLE_BATCH:
|
||||
case PERFORMFISH_SYNOPTICTABLE_BATCH_HATCHERY:
|
||||
case PERFORMFISH_SYNOPTICTABLE_BATCH_PREGROW:
|
||||
|
||||
if (!result.getFileName().contains("legend")) {
|
||||
cssTableStyle = "synoptictable-batch";
|
||||
} else {
|
||||
cssTableStyle = "simpletable-synoptic";
|
||||
}
|
||||
|
||||
ShowResult showResultSin = new ShowResult(outputId, title,
|
||||
outputFile.getDataType());
|
||||
showResultSin.showCSVFile(result, cssTableStyle);
|
||||
displayingOrderedSynopticTable(dmResponse, result.getFileName(), container,
|
||||
showResultSin);
|
||||
|
||||
return;
|
||||
case PERFORMFISH_SYNOPTIC_TABLE_FARM:
|
||||
break;
|
||||
default:
|
||||
break;
|
||||
}
|
||||
// ALL OTHER CASES
|
||||
ShowResult showResult = new ShowResult(outputId, title, outputFile.getDataType());
|
||||
showResult.showCSVFile(result, cssTableStyle);
|
||||
container.add(showResult);
|
||||
}
|
||||
});
|
||||
break;
|
||||
|
||||
default:
|
||||
break;
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
private void displayingOrderedSynopticTable(final DataMinerResponse dmResponse, String fileName,
|
||||
final Panel container, ShowResult showResult) {
|
||||
int hashcode = dmResponse.hashCode();
|
||||
GWT.log("The hascode is: " + hashcode);
|
||||
FlexTable flex = synopticOrderBy.get(hashcode);
|
||||
|
||||
if (flex == null) {
|
||||
GWT.log("The flextable is null");
|
||||
flex = new FlexTable();
|
||||
synopticOrderBy.put(hashcode, flex);
|
||||
container.add(flex);
|
||||
}
|
||||
|
||||
if (fileName.toLowerCase().contains("legend")) {
|
||||
flex.setWidget(0, 0, showResult);
|
||||
} else {
|
||||
flex.setWidget(flex.getRowCount() + 1, 0, showResult);
|
||||
}
|
||||
}
|
||||
|
||||
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++) {
|
||||
|
||||
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 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 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);
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
console.log('Done');
|
||||
|
||||
pdoc.save(filename);
|
||||
|
||||
}-*/;
|
||||
|
||||
}
|
||||
Loading…
Reference in New Issue