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433 lines
16 KiB
433 lines
16 KiB
package gui;
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import data.*;
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import javafx.application.HostServices;
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import javafx.collections.FXCollections;
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import javafx.collections.ListChangeListener;
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import javafx.collections.ObservableList;
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import javafx.concurrent.Task;
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import javafx.fxml.FXML;
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import javafx.scene.control.*;
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import javafx.scene.layout.Pane;
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import org.apache.commons.lang3.StringUtils;
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import org.apache.logging.log4j.LogManager;
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import org.apache.logging.log4j.Logger;
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import org.controlsfx.control.CheckComboBox;
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import java.io.File;
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import java.io.UnsupportedEncodingException;
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import java.util.*;
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import java.util.regex.Pattern;
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import static alg.XML_processing.readXML;
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import static gui.GUIController.showAlert;
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import static gui.Messages.*;
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@SuppressWarnings("Duplicates")
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public class OneWordAnalysisTab {
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public final static Logger logger = LogManager.getLogger(OneWordAnalysisTab.class);
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@FXML
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public Label selectedFiltersLabel;
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@FXML
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public Label solarFilters;
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@FXML
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private TextField msdTF;
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private ArrayList<Pattern> msd;
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private ArrayList<String> msdStrings;
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@FXML
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private CheckComboBox<String> alsoVisualizeCCB;
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private ArrayList<String> alsoVisualize;
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@FXML
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private CheckComboBox<String> taxonomyCCB;
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private ArrayList<String> taxonomy;
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@FXML
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private ComboBox<String> calculateForCB;
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private CalculateFor calculateFor;
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@FXML
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private Button computeNgramsB;
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@FXML
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private Button cancel;
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@FXML
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public ProgressBar ngramProgressBar;
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@FXML
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public Label progressLabel;
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@FXML
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private Hyperlink helpH;
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private enum MODE {
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LETTER,
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WORD
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}
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private MODE currentMode;
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private Corpus corpus;
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private HashMap<String, HashSet<String>> solarFiltersMap;
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private Filter filter;
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private boolean useDb;
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private HostServices hostService;
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private static final ObservableList<String> N_GRAM_COMPUTE_FOR_WORDS = FXCollections.observableArrayList("lema", "različnica", "oblikoskladenjska oznaka");
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private static final ObservableList<String> N_GRAM_COMPUTE_FOR_LETTERS = FXCollections.observableArrayList("lema", "različnica");
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private static final ObservableList<String> N_GRAM_COMPUTE_FOR_WORDS_ORTH = FXCollections.observableArrayList("različnica");
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private static final ObservableList<String> alsoVisualizeItemsLemma = FXCollections.observableArrayList("besedna vrsta", "oblikoskladenjska oznaka");
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private static final ObservableList<String> alsoVisualizeItemsDifferential = FXCollections.observableArrayList("lema", "besedna vrsta", "oblikoskladenjska oznaka");
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// TODO: pass observables for taxonomy based on header scan
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// after header scan
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private ObservableList<String> taxonomyCCBValues;
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private CorpusType currentCorpusType;
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public void init() {
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currentMode = MODE.WORD;
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toggleMode(currentMode);
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// calculateForCB
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calculateForCB.valueProperty().addListener((observable, oldValue, newValue) -> {
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calculateFor = CalculateFor.factory(newValue);
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logger.info("calculateForCB:", calculateFor.toString());
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});
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calculateForCB.getSelectionModel().select(0);
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// msd
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msdTF.focusedProperty().addListener((observable, oldValue, newValue) -> {
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if (!newValue) {
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// focus lost
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String value = msdTF.getText();
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logger.info("msdTf: ", value);
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if (!ValidationUtil.isEmpty(value)) {
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ArrayList<String> msdTmp = new ArrayList<>(Arrays.asList(value.split(" ")));
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int nOfRequiredMsdTokens = 1;
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if (msdTmp.size() != nOfRequiredMsdTokens) {
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String msg = String.format(Messages.WARNING_MISMATCHED_NGRAM_AND_TOKENS_VALUES, nOfRequiredMsdTokens, msdTmp.size());
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logAlert(msg);
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showAlert(Alert.AlertType.ERROR, msg);
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}
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msd = new ArrayList<>();
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msdStrings = new ArrayList<>();
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for (String msdToken : msdTmp) {
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msd.add(Pattern.compile(msdToken));
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msdStrings.add(msdToken);
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}
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logger.info(String.format("msd accepted (%d)", msd.size()));
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} else if (!ValidationUtil.isEmpty(newValue)) {
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msd = new ArrayList<>();
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msdStrings = new ArrayList<>();
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}
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}
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});
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msdTF.setText("");
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msd = new ArrayList<>();
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alsoVisualizeCCB.getItems().removeAll();
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alsoVisualizeCCB.getItems().setAll(alsoVisualizeItemsLemma);
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alsoVisualizeCCB.getCheckModel().getCheckedItems().addListener((ListChangeListener<String>) c -> {
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alsoVisualize = new ArrayList<>();
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ObservableList<String> checkedItems = alsoVisualizeCCB.getCheckModel().getCheckedItems();
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alsoVisualize.addAll(checkedItems);
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logger.info(String.format("Selected also visualize items: %s", StringUtils.join(checkedItems, ",")));
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});
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alsoVisualizeCCB.getCheckModel().clearChecks();
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// taxonomy
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if (Tax.getCorpusTypesWithTaxonomy().contains(corpus.getCorpusType())) {
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taxonomyCCB.getItems().removeAll();
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taxonomyCCB.getItems().setAll(corpus.getTaxonomy());
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taxonomyCCB.getCheckModel().getCheckedItems().addListener((ListChangeListener<String>) c -> {
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taxonomy = new ArrayList<>();
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ObservableList<String> checkedItems = taxonomyCCB.getCheckModel().getCheckedItems();
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taxonomy.addAll(checkedItems);
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logger.info(String.format("Selected taxonomy: %s", StringUtils.join(checkedItems, ",")));
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});
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taxonomyCCB.getCheckModel().clearChecks();
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} else {
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taxonomyCCB.setDisable(true);
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}
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computeNgramsB.setOnAction(e -> {
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compute();
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logger.info("compute button");
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});
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helpH.setOnAction(e -> openHelpWebsite());
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cancel.setVisible(false);
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}
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/**
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* case a: values for combo boxes can change after a corpus change
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* <ul>
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* <li>different corpus type - reset all fields so no old values remain</li>
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* <li>same corpus type, different subset - keep</li>
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* </ul>
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* <p>
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* case b: values for combo boxes can change after a header scan
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* <ul>
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* <li>at first, fields are populated by corpus type defaults</li>
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* <li>after, with gathered data</li>
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* </ul>
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* <p></p>
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* ngrams: 1
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* calculateFor: word
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* msd:
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* taxonomy:
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* skip: 0
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* iscvv: false
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* string length: 1
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*/
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public void populateFields() {
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// corpus changed if: current one is null (this is first run of the app)
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// or if currentCorpus != gui's corpus
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boolean corpusChanged = currentCorpusType == null
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|| currentCorpusType != corpus.getCorpusType();
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// TODO: check for GOS, GIGAFIDA, SOLAR...
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// refresh and:
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// TODO if current value != null && is in new calculateFor ? keep : otherwise reset
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if (calculateFor == null) {
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calculateForCB.getSelectionModel().select(calculateForCB.getItems().get(0));
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calculateFor = CalculateFor.factory(calculateForCB.getItems().get(0));
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}
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if (!filter.hasMsd()) {
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// if current corpus doesn't have msd data, disable this field
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msd = new ArrayList<>();
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msdTF.setText("");
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msdTF.setDisable(true);
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logger.info("no msd data");
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} else {
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if (ValidationUtil.isEmpty(msd)
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|| (!ValidationUtil.isEmpty(msd) && corpusChanged)) {
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// msd has not been set previously
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// or msd has been set but the corpus changed -> reset
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msd = new ArrayList<>();
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msdTF.setText("");
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msdTF.setDisable(false);
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logger.info("msd reset");
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} else if (!ValidationUtil.isEmpty(msd) && !corpusChanged) {
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// if msd has been set, but corpus type remained the same, we can keep any set msd value
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msdTF.setText(StringUtils.join(msdStrings, " "));
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msdTF.setDisable(false);
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logger.info("msd kept");
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}
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}
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// TODO: trigger on rescan
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if ((currentCorpusType != null && currentCorpusType != corpus.getCorpusType())) {
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// user changed corpus (by type) or by selection & triggered a rescan of headers
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// see if we read taxonomy from headers, otherwise use default values for given corpus
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ObservableList<String> tax = corpus.getTaxonomy();
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taxonomyCCBValues = tax != null ? tax : Taxonomy.getDefaultForComboBox(corpus.getCorpusType());
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currentCorpusType = corpus.getCorpusType();
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// setTaxonomyIsDirty(false);
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} else {
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}
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// see if we read taxonomy from headers, otherwise use default values for given corpus
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ObservableList<String> tax = corpus.getTaxonomy();
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taxonomyCCBValues = tax != null ? tax : Taxonomy.getDefaultForComboBox(corpus.getCorpusType());
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taxonomyCCB.getItems().addAll(taxonomyCCBValues);
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}
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/**
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* Toggles visibility for panes which hold fields for skipgram value (not applicable when calculating for letters) etc.,
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* sets combobox values to what is applicable ...
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*
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* @param mode
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*/
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public void toggleMode(MODE mode) {
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if (mode == null) {
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mode = currentMode;
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}
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logger.info("mode: ", mode.toString());
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if (mode == MODE.WORD) {
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calculateForCB.getItems().setAll(N_GRAM_COMPUTE_FOR_WORDS);
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} else if (mode == MODE.LETTER) {
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calculateForCB.getItems().setAll(N_GRAM_COMPUTE_FOR_LETTERS);
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// if calculateFor was selected for something other than a word or a lemma -> reset
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if (!(calculateFor == CalculateFor.WORD || calculateFor == CalculateFor.LEMMA)) {
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// if the user selected something else before selecting ngram for letters, reset that choice
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calculateFor = CalculateFor.WORD;
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calculateForCB.getSelectionModel().select("različnica");
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}
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}
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// override if orth mode, allow only word
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if (corpus.isGosOrthMode()) {
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calculateForCB.getItems().setAll(N_GRAM_COMPUTE_FOR_WORDS_ORTH);
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msdTF.setDisable(true);
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} else {
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msdTF.setDisable(false);
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}
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}
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private void compute() {
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Filter filter = new Filter();
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filter.setNgramValue(1);
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filter.setCalculateFor(calculateFor);
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filter.setMsd(msd);
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filter.setTaxonomy(Tax.getTaxonomyCodes(taxonomy, corpus.getCorpusType()));
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filter.setAl(AnalysisLevel.STRING_LEVEL);
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filter.setSkipValue(0);
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filter.setIsCvv(false);
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filter.setSolarFilters(solarFiltersMap);
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filter.setStringLength(1);
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String message = Validation.validateForStringLevel(filter);
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if (message == null) {
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// no errors
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logger.info("Executing: ", filter.toString());
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StatisticsNew statistic = new StatisticsNew(corpus, filter, useDb);
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execute(statistic);
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} else {
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logAlert(message);
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showAlert(Alert.AlertType.ERROR, "Prosim izpolnite polja:", message);
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}
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}
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private void logAlert(String alert) {
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logger.info("alert: " + alert);
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}
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private void openHelpWebsite(){
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hostService.showDocument(Messages.HELP_URL);
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}
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public Corpus getCorpus() {
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return corpus;
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}
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public void setCorpus(Corpus corpus) {
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this.corpus = corpus;
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if (corpus.getCorpusType() != CorpusType.SOLAR) {
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setSelectedFiltersLabel(null);
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} else {
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setSelectedFiltersLabel("/");
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}
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}
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public void setSelectedFiltersLabel(String content) {
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if (content != null) {
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solarFilters.setVisible(true);
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selectedFiltersLabel.setVisible(true);
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selectedFiltersLabel.setText(content);
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} else {
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solarFilters.setVisible(false);
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selectedFiltersLabel.setVisible(false);
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}
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}
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private void execute(StatisticsNew statistic) {
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logger.info("Started execution: ", statistic.getFilter());
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Collection<File> corpusFiles = statistic.getCorpus().getDetectedCorpusFiles();
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boolean corpusIsSplit = corpusFiles.size() > 1;
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final Task<Void> task = new Task<Void>() {
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@SuppressWarnings("Duplicates")
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@Override
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protected Void call() throws Exception {
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long i = 0;
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for (File f : corpusFiles) {
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readXML(f.toString(), statistic);
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i++;
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if (isCancelled()) {
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updateMessage(CANCELING_NOTIFICATION);
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break;
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}
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this.updateProgress(i, corpusFiles.size());
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this.updateMessage(String.format(ONGOING_NOTIFICATION_ANALYZING_FILE_X_OF_Y, i, corpusFiles.size(), f.getName()));
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}
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return null;
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}
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};
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ngramProgressBar.progressProperty().bind(task.progressProperty());
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progressLabel.textProperty().bind(task.messageProperty());
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task.setOnSucceeded(e -> {
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try {
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boolean successullySaved = statistic.saveResultToDisk();
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if (successullySaved) {
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showAlert(Alert.AlertType.INFORMATION, Messages.NOTIFICATION_ANALYSIS_COMPLETED);
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} else {
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showAlert(Alert.AlertType.INFORMATION, Messages.NOTIFICATION_ANALYSIS_COMPLETED_NO_RESULTS);
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}
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} catch (UnsupportedEncodingException e1) {
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showAlert(Alert.AlertType.ERROR, ERROR_WHILE_SAVING_RESULTS_TO_CSV);
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logger.error("Error while saving", e1);
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}
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ngramProgressBar.progressProperty().unbind();
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ngramProgressBar.setStyle(Settings.FX_ACCENT_OK);
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progressLabel.textProperty().unbind();
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progressLabel.setText("");
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cancel.setVisible(false);
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});
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task.setOnFailed(e -> {
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showAlert(Alert.AlertType.ERROR, ERROR_WHILE_EXECUTING);
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logger.error("Error while executing", e);
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ngramProgressBar.progressProperty().unbind();
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ngramProgressBar.setProgress(0.0);
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ngramProgressBar.setStyle(Settings.FX_ACCENT_NOK);
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progressLabel.textProperty().unbind();
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progressLabel.setText("");
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cancel.setVisible(false);
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});
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task.setOnCancelled(e -> {
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showAlert(Alert.AlertType.INFORMATION, Messages.NOTIFICATION_ANALYSIS_CANCLED);
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ngramProgressBar.progressProperty().unbind();
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ngramProgressBar.setProgress(0.0);
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ngramProgressBar.setStyle(Settings.FX_ACCENT_OK);
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progressLabel.textProperty().unbind();
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progressLabel.setText("");
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cancel.setVisible(false);
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});
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// When cancel button is pressed cancel analysis
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cancel.setOnAction(e -> {
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task.cancel();
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logger.info("cancel button");
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});
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cancel.setVisible(true);
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final Thread thread = new Thread(task, "task");
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thread.setDaemon(true);
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thread.start();
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}
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public void setSolarFiltersMap(HashMap<String, HashSet<String>> solarFiltersMap) {
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this.solarFiltersMap = solarFiltersMap;
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}
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public void setHostServices(HostServices hostServices){
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this.hostService = hostServices;
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}
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}
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