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package eu.etaxonomy.cdm.api.service;
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import java.util.List;
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import java.util.Map;
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import org.apache.commons.lang.StringUtils;
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import eu.etaxonomy.cdm.model.common.Language;
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import eu.etaxonomy.cdm.model.description.Feature;
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import eu.etaxonomy.cdm.model.description.MeasurementUnit;
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import eu.etaxonomy.cdm.model.description.NaturalLanguageTerm;
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import eu.etaxonomy.cdm.model.description.StatisticalMeasure;
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import eu.etaxonomy.cdm.model.description.TextData;
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import eu.etaxonomy.cdm.model.description.TextFormat;
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public class MicroFormatQuantitativeDescriptionBuilder extends AbstractQuantitativeDescriptionBuilder {
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private String spanEnd = "</span>";
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@Override
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protected TextData doBuild(Map<StatisticalMeasure,Float> measures, MeasurementUnit mUnit, List<Language> languages){
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StringBuilder QuantitativeDescription = new StringBuilder(); // this StringBuilder is used to concatenate the different words of the description before saving it in the TextData
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TextData textData = TextData.NewInstance(); // TextData that will contain the description and the language corresponding
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// booleans indicating whether a kind of value is present or not and the float that will eventually hold the value
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boolean average = false;
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String averagevalue = null;
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boolean sd = false;
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String sdvalue = null;
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boolean min = false;
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String minvalue = null;
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boolean max = false;
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String maxvalue = null;
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boolean lowerb = false;
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String lowerbvalue = null;
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boolean upperb = false;
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String upperbvalue = null;
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String unit = "(unknown unit)";
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if ((mUnit!=null)&&(mUnit.getLabel()!=null)){
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unit = spanClass("unit") + mUnit.getLabel() + spanEnd;
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}
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// the different linking words are taken from NaturalLanguageTerm.class (should this be changed ?)
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NaturalLanguageTerm nltFrom = NaturalLanguageTerm.FROM();
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String from = nltFrom.getPreferredRepresentation(languages).getLabel();
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NaturalLanguageTerm nltTo = NaturalLanguageTerm.TO();
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String to = nltTo.getPreferredRepresentation(languages).getLabel();
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NaturalLanguageTerm nltUp_To = NaturalLanguageTerm.UP_TO();
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String up_To = nltUp_To.getPreferredRepresentation(languages).getLabel();
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NaturalLanguageTerm nltMost_Frequently = NaturalLanguageTerm.MOST_FREQUENTLY();
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String most_Frequently = nltMost_Frequently.getPreferredRepresentation(languages).getLabel();
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NaturalLanguageTerm nltOn_Average = NaturalLanguageTerm.ON_AVERAGE();
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String on_Average = nltOn_Average.getPreferredRepresentation(languages).getLabel();
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NaturalLanguageTerm nltMore_Or_Less = NaturalLanguageTerm.MORE_OR_LESS();
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String more_Or_Less = nltMore_Or_Less.getPreferredRepresentation(languages).getLabel();
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String space = " "; // should "space" be considered as a linking word and thus be stored in NaturalLanguageTerm.class ?
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// the booleans and floats are updated according to the presence or absence of values
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if (measures.containsKey(StatisticalMeasure.AVERAGE())) {
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average = true;
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averagevalue = spanClass("measurement") + measures.get(StatisticalMeasure.AVERAGE()) + spanEnd;
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} else if(measures.containsKey(StatisticalMeasure.STANDARD_DEVIATION())) {
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sd = true;
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sdvalue = spanClass("measurement") + measures.get(StatisticalMeasure.STANDARD_DEVIATION()) + spanEnd;
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} else if (measures.containsKey(StatisticalMeasure.MIN())) {
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min = true;
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minvalue = spanClass("measurement") + measures.get(StatisticalMeasure.MIN()) + spanEnd;
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} else if (measures.containsKey(StatisticalMeasure.MAX())) {
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max = true;
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maxvalue = spanClass("measurement") + measures.get(StatisticalMeasure.MAX()) + spanEnd;
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} else if (measures.containsKey(StatisticalMeasure.TYPICAL_LOWER_BOUNDARY())) {
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lowerb = true;
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lowerbvalue = spanClass("measurement") + measures.get(StatisticalMeasure.TYPICAL_LOWER_BOUNDARY()) + spanEnd;
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} else if (measures.containsKey(StatisticalMeasure.TYPICAL_UPPER_BOUNDARY())) {
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upperb = true;
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upperbvalue = spanClass("measurement") + measures.get(StatisticalMeasure.TYPICAL_UPPER_BOUNDARY()) + spanEnd;
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}
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QuantitativeDescription.append(spanClass("state"));
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// depending on the different associations of values, a sentence is built
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if (max && min) {
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QuantitativeDescription.append(space + from + space + minvalue + space + to + space + maxvalue + space + unit);
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}
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else if (min) {
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QuantitativeDescription.append(space + from + space + minvalue + space + unit);
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}
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else if (max) {
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QuantitativeDescription.append(space + up_To + space + maxvalue + space + unit);
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}
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if ((max||min)&&(lowerb||upperb)) {
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QuantitativeDescription.append(","); // merge with below ?
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}
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if ((lowerb||upperb)&&(min||max)) {
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QuantitativeDescription.append(space + most_Frequently + space);
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}
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if (upperb && lowerb) {
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QuantitativeDescription.append(space + from + space + lowerbvalue + space + to + space + upperbvalue + space + unit);
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}
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else if (lowerb) {
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QuantitativeDescription.append(space + from + space + lowerbvalue + space + unit);
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}
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else if (upperb) {
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QuantitativeDescription.append(space + up_To + space + upperbvalue + space + unit);
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}
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if (((max||min)&&(average))||((lowerb||upperb)&&(average))) {
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QuantitativeDescription.append(",");
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}
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if (average) {
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QuantitativeDescription.append(space + averagevalue + space + unit + space + on_Average);
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if (sd) {
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QuantitativeDescription.append("("+ more_Or_Less + space + sdvalue + ")");
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}
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}
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QuantitativeDescription.append(spanEnd);
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textData.putText(languages.get(0), QuantitativeDescription.toString()); // which language should be put here ?
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textData.setFormat(TextFormat.NewInstance(null, "HTML",null )); // the data format is set (not yet real HTML)
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return textData;
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}
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protected String buildFeature(Feature feature, boolean doItBetter){
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if (feature==null || feature.getLabel()==null) return "";
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else {
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if (doItBetter) {
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String betterString = StringUtils.substringBefore(feature.getLabel(), "<");
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return StringUtils.removeEnd(betterString, " ");
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}
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else return feature.getLabel();
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}
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}
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private String spanClass(String classString){
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return("<span class=\""+classString+"\">");
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}
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}
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