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721 lines
27 KiB
Java
721 lines
27 KiB
Java
/**
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*
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*/
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package org.gcube.portlets.user.performfishanalytics.client.controllers;
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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.event.AddedBatchIdEvent;
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import org.gcube.portlets.user.performfishanalytics.client.event.AddedBatchIdEventHandler;
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import org.gcube.portlets.user.performfishanalytics.client.event.CallAlgorithmEvent;
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import org.gcube.portlets.user.performfishanalytics.client.event.CallAlgorithmEventHandler;
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import org.gcube.portlets.user.performfishanalytics.client.event.LoadPopulationTypeEvent;
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import org.gcube.portlets.user.performfishanalytics.client.event.LoadPopulationTypeEventHandler;
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import org.gcube.portlets.user.performfishanalytics.client.event.PerformFishFieldFormChangedEvent;
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import org.gcube.portlets.user.performfishanalytics.client.event.PerformFishFieldFormChangedEventHandler;
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import org.gcube.portlets.user.performfishanalytics.client.event.SelectedKPIEvent;
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import org.gcube.portlets.user.performfishanalytics.client.event.SelectedKPIEventHandler;
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import org.gcube.portlets.user.performfishanalytics.client.event.SelectedPopulationTypeEvent;
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import org.gcube.portlets.user.performfishanalytics.client.event.SelectedPopulationTypeEventHandler;
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import org.gcube.portlets.user.performfishanalytics.client.event.SubmitRequestEvent;
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import org.gcube.portlets.user.performfishanalytics.client.event.SubmitRequestEventHandler;
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import org.gcube.portlets.user.performfishanalytics.client.view.LoaderIcon;
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import org.gcube.portlets.user.performfishanalytics.client.viewbinder.AnalyticsPanelResult;
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import org.gcube.portlets.user.performfishanalytics.client.viewbinder.ShowResult;
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import org.gcube.portlets.user.performfishanalytics.client.viewbinder.SubmitRequestPanel;
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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.PerformFishInitParameter;
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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.Modal;
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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.ButtonType;
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import com.google.gwt.core.client.Scheduler;
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import com.google.gwt.core.client.Scheduler.ScheduledCommand;
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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.event.shared.HandlerManager;
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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.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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import com.google.gwt.user.client.ui.VerticalPanel;
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/**
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* The Class PerformFishAnalyticsController.
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*
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* @author Francesco Mangiacrapa francesco.mangiacrapa@isti.cnr.it
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* Jan 16, 2019
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*/
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public class PerformFishAnalyticsController {
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/**
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*
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*/
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public final static HandlerManager eventBus = new HandlerManager(null);
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private PerformFishAnalyticsViewController viewController;
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private PerformFishInitParameter decryptParameters;
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/**
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* Instantiates a new perform fish analytics controller.
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*/
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public PerformFishAnalyticsController() {
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registerHandlers();
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viewController = new PerformFishAnalyticsViewController();
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Scheduler.get().scheduleDeferred(new ScheduledCommand() {
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@Override
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public void execute() {
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final String batchtypeParam = Window.Location.getParameter(PerformFishAnalyticsConstant.BATCHTYPE_PARAM);
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final String farmidParam = Window.Location.getParameter(PerformFishAnalyticsConstant.FARMID_PARAM);
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if(batchtypeParam==null || batchtypeParam.isEmpty()){
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Window.alert("You must pass a valid '"+PerformFishAnalyticsConstant.BATCHTYPE_PARAM+"' param");
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return;
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}
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if(farmidParam==null || farmidParam.isEmpty()){
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Window.alert("You must pass a valid '"+PerformFishAnalyticsConstant.FARMID_PARAM+"' param");
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return;
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}
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PerformFishInitParameter initParams = new PerformFishInitParameter();
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initParams.addParameter(PerformFishAnalyticsConstant.BATCHTYPE_PARAM, batchtypeParam);
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initParams.addParameter(PerformFishAnalyticsConstant.FARMID_PARAM, farmidParam);
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PerformFishAnalyticsServiceAsync.Util.getInstance().decryptAndValidParameters(initParams, new AsyncCallback<PerformFishInitParameter>() {
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@Override
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public void onSuccess(PerformFishInitParameter result) {
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decryptParameters = result;
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eventBus.fireEvent(new LoadPopulationTypeEvent(POPULATION_LEVEL.BATCH.name(), null));
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}
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@Override
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public void onFailure(Throwable caught) {
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Window.alert(caught.getMessage());
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}
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});
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}
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});
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}
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/**
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* Register handlers.
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*/
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private void registerHandlers() {
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eventBus.addHandler(LoadPopulationTypeEvent.TYPE, new LoadPopulationTypeEventHandler() {
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@Override
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public void onLoadPopulationType(
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LoadPopulationTypeEvent loadPopulationEvent) {
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viewController.loadPopulationTypeForLevelAndBatchType(loadPopulationEvent.getPopulationName(), decryptParameters);
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}
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});
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eventBus.addHandler(CallAlgorithmEvent.TYPE, new CallAlgorithmEventHandler() {
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@Override
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public void onCall(CallAlgorithmEvent callAlgorithmEvent) {
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callAlgorithm(callAlgorithmEvent.getAlgorithm(), callAlgorithmEvent.getFocusID(), callAlgorithmEvent.getInputKPI(), callAlgorithmEvent.getOutputKPI());
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}
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});
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eventBus.addHandler(SelectedPopulationTypeEvent.TYPE, new SelectedPopulationTypeEventHandler() {
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@Override
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public void onSelectedPopulationType(
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SelectedPopulationTypeEvent selectedPopulationTypeEvent) {
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viewController.setRootPopulationTypeForKPIs(selectedPopulationTypeEvent.getSelectedPopulationType());
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}
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});
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eventBus.addHandler(SelectedKPIEvent.TYPE, new SelectedKPIEventHandler() {
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@Override
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public void onSelectedKPI(SelectedKPIEvent selectedKPI) {
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viewController.manageKPI(selectedKPI.getKpi(), selectedKPI.isChecked(), selectedKPI.getSelectedPopulationType());
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int selectedKPIsSize = viewController.getSelectedKPIs().size();
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viewController.manageAlgorithmsSubmit(selectedKPIsSize);
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}
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});
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eventBus.addHandler(PerformFishFieldFormChangedEvent.TYPE, new PerformFishFieldFormChangedEventHandler() {
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@Override
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public void onFieldFormChanged(
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PerformFishFieldFormChangedEvent performFishFieldFormChangedEvent) {
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viewController.setReloadPerformFishServiceData(true);
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boolean isValidForm = viewController.validatePerformFishInputFields();
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if(isValidForm){
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viewController.hideErrors();
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final Map<String, List<String>> mapParameters = new HashMap<String, List<String>>();
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String farmId = decryptParameters.getParameters().get(PerformFishAnalyticsConstant.FARMID_PARAM);
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String batchType = viewController.getForm().getBatchType();
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String species = viewController.getForm().getSpecies();
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List<String> listArea = viewController.getForm().getArea();
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List<String> listPeriod = viewController.getForm().getPeriod();
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List<String> listQuarter = viewController.getForm().getQuarter();
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mapParameters.put(PerformFishAnalyticsConstant.PERFORM_FISH_FARMID_PARAM, Arrays.asList(farmId));
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mapParameters.put(PerformFishAnalyticsConstant.PERFORM_FISH_BATCH_TYPE_PARAM, Arrays.asList(batchType));
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mapParameters.put(PerformFishAnalyticsConstant.PERFORM_FISH_SPECIES_ID_PARAM, Arrays.asList(species));
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if(!listArea.isEmpty()){
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mapParameters.put(PerformFishAnalyticsConstant.PERFORM_FISH_AREA_PARAM, listArea);
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}
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if(!listPeriod.isEmpty()){
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mapParameters.put(PerformFishAnalyticsConstant.PERFORM_FISH_PERIOD_PARAM, listPeriod);
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}
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if(!listQuarter.isEmpty()){
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mapParameters.put(PerformFishAnalyticsConstant.PERFORM_FISH_QUARTER_PARAM, listQuarter);
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}
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final Modal modal = new Modal(true);
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modal.setCloseVisible(false);
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modal.hide(false);
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final VerticalPanel vp = new VerticalPanel();
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LoaderIcon loader = new LoaderIcon("Submitting request to perform-fish service...");
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vp.add(loader);
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loader.show(true);
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modal.add(vp);
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PerformFishAnalyticsServiceAsync.Util.getInstance().submitRequestToPerformFishService(mapParameters, new AsyncCallback<PerformFishResponse>() {
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@Override
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public void onFailure(Throwable caught) {
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modal.hide();
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Window.alert(caught.getMessage());
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// Map<String, String> map = new HashMap<String, String>();
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// map.put(PerformFishAnalyticsConstant.BATCHES_TABLE, "https://data.d4science.org/shub/d26ce359-ec85-44a5-84f6-50cc9ce05f03");
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// map.put(PerformFishAnalyticsConstant.BATCHES_TABLE_INTERNAL, "https://data1-d.d4science.org/shub/E_WERuV1JhandFcWdUN0tUK2xtRVB3Tm9XT3AyLzlaWUVsVW9ZM2diRVU0V2wxWDNYUFlYVVhhQlU4K0FvV3h1Tg==");
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// callDataMinerServiceForChartTypeCorrelation(new PerformFishResponse(map, null));
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}
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@Override
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public void onSuccess(PerformFishResponse performFishResponse) {
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modal.hide();
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viewController.managePerformFishServiceResponse(performFishResponse, mapParameters, POPULATION_LEVEL.BATCH);
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// Window.alert("FAKE ON-SUCCESS");
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// Map<String, String> map = new HashMap<String, String>();
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// map.put(PerformFishAnalyticsConstant.BATCHES_TABLE, "https://data.d4science.org/shub/d26ce359-ec85-44a5-84f6-50cc9ce05f03");
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// map.put(PerformFishAnalyticsConstant.BATCHES_TABLE_INTERNAL, "https://data1-d.d4science.org/shub/E_WERuV1JhandFcWdUN0tUK2xtRVB3Tm9XT3AyLzlaWUVsVW9ZM2diRVU0V2wxWDNYUFlYVVhhQlU4K0FvV3h1Tg==");
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// callDataMinerServiceForChartTypeCorrelation(new PerformFishResponse(map, null));
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}
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});
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modal.show();
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}else{
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//IF IT IS NOT A VALID FORM WE NEED TO DISABLE DATAMINER REQUESTS
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viewController.enableAllAlgorithmsSubmits(false);
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}
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}
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});
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eventBus.addHandler(AddedBatchIdEvent.TYPE, new AddedBatchIdEventHandler() {
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@Override
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public void onAddedBatchId(AddedBatchIdEvent checkValidBatchIdEvent) {
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viewController.validateBatchIdSelection();
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//viewController.resyncSelectedKPIs();
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}
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});
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eventBus.addHandler(SubmitRequestEvent.TYPE, new SubmitRequestEventHandler() {
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@Override
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public void onSubmitRequest(SubmitRequestEvent submitRequestEvent) {
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boolean isValidBatchId = viewController.validateBatchIdSelection();
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boolean isValidKPI = viewController.validateKPIFields();
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List<KPI> selectedKPI = viewController.getSelectedKPIs();
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viewController.manageAlgorithmsSubmit(selectedKPI.size());
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if(isValidBatchId && isValidKPI){
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switch (submitRequestEvent.getChartType()) {
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case BOXPLOT:
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//UNARY
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callAlgorithm(submitRequestEvent.getChartType(), viewController.getSelectedBatchID().get(0), selectedKPI, null);
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break;
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case SCATTER:
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if(selectedKPI.size()==2)
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callAlgorithm(submitRequestEvent.getChartType(), viewController.getSelectedBatchID().get(0), selectedKPI, null);
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else
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Window.alert("Something seems wrong... You must select exactly two KPIs to execute the "+submitRequestEvent.getChartType());
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break;
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case CORRELATION:
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callDataMinerServiceForChartTypeCorrelation(viewController.getPerformFishResponse(), viewController.getRequestMapParameters());
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break;
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case SPEEDOMETER:
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//UNARY
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callAlgorithm(submitRequestEvent.getChartType(), viewController.getSelectedBatchID().get(0), selectedKPI, selectedKPI);
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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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return;
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}
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});
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}
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/**
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* Call data miner service for chart type correlation.
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*
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* @param performFishResponse the perform fish response
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* @param performFishRequestParameters the perform fish request parameters
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*/
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private void callDataMinerServiceForChartTypeCorrelation(final PerformFishResponse performFishResponse, final Map<String, List<String>> performFishRequestParameters) {
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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 "+PerformFishAnalyticsConstant.BATCHES_TABLE+" returned from service");
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final Map<String, List<String>> mapParameters = new HashMap<String, List<String>>();
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StringBuilder dataInputsFormatter = new StringBuilder();
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_SCALEP_PARAM+"=BATCH;");
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String theBatchType = viewController.getForm().getBatchType();
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theBatchType = theBatchType.replace("_CLOSED_BATCHES", ""); //REMOVING SUFFIX _CLOSED_BATCHES FOR DATAMINER CALL
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_BATCHTYPE_PARAM+"="+theBatchType+";");
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_CHARTTYPE_PARAM+"="+ DataMinerAlgorithms.CORRELATION+";");
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_FARMFILE_PARAM+"="+batchTableURL+";");
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dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_FOCUS_PARAM+"=ID;");
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String kpiCodes = "";
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for (KPI kpi : viewController.getSelectedKPIs()) {
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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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dataInputsFormatter.append("inputKPI="+kpiCodes+";");
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//dataInputsFormatter.append("outputKPI=;");
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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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mapParameters.put(PerformFishAnalyticsConstant.DATA_INPUTS, Arrays.asList(dataInParameters));
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// final Modal modal = new Modal(true);
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// modal.setCloseVisible(false);
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// modal.hide(false);
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final SubmitRequestPanel submitRequestPanel = new SubmitRequestPanel("");
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submitRequestPanel.showLoader(true, "Submitting "+DataMinerAlgorithms.CORRELATION.getName()+" request to DM Service...");
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String tabTitle = DataMinerAlgorithms.CORRELATION.getName().substring(0,1).toUpperCase()+DataMinerAlgorithms.CORRELATION.getName().toLowerCase().substring(1, DataMinerAlgorithms.CORRELATION.getName().length()); //CAMEL CASE
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final Tab tab = viewController.createTab(submitRequestPanel, tabTitle+" #"+(viewController.currentNumberOfTab()+1));
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PerformFishAnalyticsServiceAsync.Util.getInstance().callingDataMinerPerformFishCorrelationAnalysis(performFishResponse, mapParameters, new AsyncCallback<DataMinerResponse>() {
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@Override
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public void onSuccess(DataMinerResponse dmResponse) {
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submitRequestPanel.showLoader(false, null);
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viewController.noSpinner(tab);
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final AnalyticsPanelResult analyticsPanelResult = new AnalyticsPanelResult();
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analyticsPanelResult.addSelectedAreas(performFishRequestParameters.get(PerformFishAnalyticsConstant.PERFORM_FISH_AREA_PARAM));
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analyticsPanelResult.addSelectedKPIs(viewController.getSelectedKPIs());
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analyticsPanelResult.addListBatchIds(viewController.getListBatchesID());
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analyticsPanelResult.addParameters(PerformFishAnalyticsConstant.DATA_INPUTS, mapParameters, viewController.getForm().getBatchType());
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analyticsPanelResult.addResults(dmResponse);
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submitRequestPanel.addWidget(analyticsPanelResult);
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//viewController.geTabPanelView().addResult(resultPanel, "Analysis #"+(viewController.geTabPanelView().countTab()+1));
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//modal.hide();
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}
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@Override
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public void onFailure(Throwable caught) {
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GWT.log(caught.toString());
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submitRequestPanel.showLoader(false, null);
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viewController.noSpinner(tab);
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Alert error = new Alert(caught.getMessage());
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error.setClose(false);
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error.setType(AlertType.ERROR);
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submitRequestPanel.addWidget(error);
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Button butt = new Button("OK");
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butt.setType(ButtonType.INFO);
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//butt.getElement().getStyle().setProperty("text-align", "center");
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butt.addClickHandler(new ClickHandler() {
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@Override
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public void onClick(ClickEvent event) {
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//modal.hide();
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}
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});
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submitRequestPanel.addWidget(butt);
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}
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});
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//modal.show();
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}
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/**
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* Creating new TAB and calling DM algorithm.
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*
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* @param algorithm the algorithm
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* @param focusID the focus id
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* @param inputKPI the input kpi
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* @param outputKPI the output kpi
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*/
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private void callAlgorithm(DataMinerAlgorithms algorithm, String focusID, List<KPI> inputKPI, final List<KPI> outputKPI){
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List<String> listBatchID = viewController.getSelectedBatchID();
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if(listBatchID==null || listBatchID.size()==0)
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Window.alert("Something seems wrong, no selected BatchID, try again");
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SubmitRequestPanel submitRequestPanel = new SubmitRequestPanel("");
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//submitRequestPanel.getElement().addClassName("ext-horizontal-panel");
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String tabTitle = algorithm.getName().substring(0,1).toUpperCase()+algorithm.getName().toLowerCase().substring(1, algorithm.getName().length()); //CAMEL CASE
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Tab tab = viewController.createTab(submitRequestPanel, tabTitle+" #"+(viewController.currentNumberOfTab()+1));
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switch (algorithm) {
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case BOXPLOT:
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case SPEEDOMETER:
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//submitRequestPanel.setTheTitle(title);
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for (KPI kpi : inputKPI) {
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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, Arrays.asList(kpi), Arrays.asList(kpi), algorithm, focusID, hp, tab);
|
|
//resultPanel.add(hp);
|
|
submitRequestPanel.addWidget(hp);
|
|
}
|
|
break;
|
|
case SCATTER:
|
|
|
|
if(inputKPI.get(0)==null || inputKPI.get(1)==null){
|
|
submitRequestPanel.setTheTitle("Something seems wrong, one or more of the selected KPIs are not valid. Please try again");
|
|
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);
|
|
|
|
default:
|
|
callDataMinerServiceForChart(viewController.getPerformFishResponse(), POPULATION_LEVEL.BATCH, inputKPI, outputKPI, algorithm, focusID, submitRequestPanel.getContainerPanel(), tab);
|
|
}
|
|
}
|
|
|
|
|
|
/**
|
|
* Call data miner service for chart.
|
|
*
|
|
* @param performFishResponse the perform fish response
|
|
* @param scalePValue the scale p value
|
|
* @param inputKPI the input kpi
|
|
* @param outputKPI the output kpi
|
|
* @param chartType the chart type
|
|
* @param focusID the focus id
|
|
* @param panelContainer the panel
|
|
* @param tab
|
|
*/
|
|
private void callDataMinerServiceForChart(PerformFishResponse performFishResponse, POPULATION_LEVEL scalePValue, final List<KPI> inputKPI, final List<KPI> outputKPI, final DataMinerAlgorithms chartType, final String focusID, final ComplexPanel panelContainer, final Tab tab) {
|
|
|
|
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+";");
|
|
//dataInputsFormatter.append(PerformFishAnalyticsConstant.DM_FOCUS_PARAM+"=ID;");
|
|
|
|
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+" 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) {
|
|
viewController.noSpinner(tab);
|
|
loaderIcon.setVisible(false);
|
|
//field_unary_algorithm.setVisible(true);
|
|
GWT.log("I'm displaying: "+dmResponse);
|
|
displayOutputFilesAsStaticEntities(dmResponse, chartType, inputKPI, outputKPI, focusID, panelContainer, false);
|
|
}
|
|
|
|
@Override
|
|
public void onFailure(Throwable caught) {
|
|
viewController.noSpinner(tab);
|
|
loaderIcon.setVisible(false);
|
|
displayOutputFilesAsStaticEntities(null, chartType, inputKPI, outputKPI, focusID, panelContainer, true);
|
|
|
|
}
|
|
});
|
|
}
|
|
|
|
|
|
/**
|
|
* Display output files as static entities.
|
|
*
|
|
* @param dmResponse the dm response
|
|
* @param chartType the chart type
|
|
* @param inputKPIs the input kp is
|
|
* @param outputKPIs the output kp is
|
|
* @param focusID the focus id
|
|
* @param container the container
|
|
* @param displayError the display error
|
|
*/
|
|
private void displayOutputFilesAsStaticEntities(DataMinerResponse dmResponse, final DataMinerAlgorithms chartType, List<KPI> inputKPIs, List<KPI> outputKPIs, final String focusID, final Panel container, boolean displayError){
|
|
|
|
String title = displayError?"No results ":"";
|
|
/*title+=chartType;
|
|
title+=inputKPIs.size()>1?" [Input KPIs: ":" [Input KPI: ";
|
|
|
|
for (KPI kpi : inputKPIs) {
|
|
title+=" "+kpi.getName()+",";
|
|
}
|
|
|
|
title = title.substring(0,title.length()-1)+"]";
|
|
|
|
|
|
if(outputKPIs!=null && outputKPIs.size()>0){
|
|
title+=inputKPIs.size()>1?" [Output KPIs: ":" [Output KPI: ";
|
|
for (KPI kpi : outputKPIs) {
|
|
title+=" "+kpi.getName()+",";
|
|
}
|
|
title = title.substring(0,title.length()-1)+"]";
|
|
}*/
|
|
|
|
//title+= " Focus "+focusID;
|
|
|
|
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;
|
|
|
|
for (final OutputFile outputFile : dmResponse.getListOutput()) {
|
|
|
|
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;
|
|
// switch (chartType) {
|
|
// case BOXPLOT:
|
|
// break;
|
|
// case SPEEDOMETER:
|
|
// title+= " BATCH ID: "+focusID;
|
|
// break;
|
|
// default:
|
|
// break;
|
|
// }
|
|
|
|
String title = toTitle;
|
|
switch (chartType) {
|
|
case BOXPLOT:
|
|
title = chartType.getName()+" - on all batches<br>";
|
|
title += "Blue dots indicate the selected batch(es): "+focusID;
|
|
break;
|
|
case CORRELATION:
|
|
break;
|
|
case DEA_ANALYSIS:
|
|
break;
|
|
case SCATTER:
|
|
break;
|
|
case SPEEDOMETER:
|
|
title = "Speedometer<br>";
|
|
title+= "Selected BATCH ID: "+focusID+"<br>";
|
|
title+= "Normalized with respect to all batches in the VRE";
|
|
break;
|
|
case DEA_CHART:
|
|
break;
|
|
}
|
|
|
|
ShowResult showResult = new ShowResult(title);
|
|
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 title = toTitle;
|
|
// switch (chartType) {
|
|
// case BOXPLOT:
|
|
// title+= " Statistics on all data";
|
|
// break;
|
|
// case SPEEDOMETER:
|
|
// title+= " BATCH ID: "+focusID;
|
|
// break;
|
|
// default:
|
|
// break;
|
|
// }
|
|
|
|
String title = toTitle;
|
|
switch (chartType) {
|
|
case BOXPLOT:
|
|
if(result.getFileName().contains("_user")){
|
|
title = "My Batch(es)";
|
|
}else{
|
|
title = "All batches in the VRE (including mine)";
|
|
}
|
|
break;
|
|
case CORRELATION:
|
|
break;
|
|
case DEA_ANALYSIS:
|
|
break;
|
|
case SCATTER:
|
|
break;
|
|
case SPEEDOMETER:
|
|
break;
|
|
case DEA_CHART:
|
|
break;
|
|
}
|
|
|
|
ShowResult showResult = new ShowResult(title);
|
|
showResult.showCSVFile(result);
|
|
container.add(showResult);
|
|
}
|
|
});
|
|
break;
|
|
|
|
default:
|
|
break;
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
}
|