package eu.dnetlib.pace.tree;

import java.util.Map;
import java.util.Set;

import com.wcohen.ss.AbstractStringDistance;

import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;

@ComparatorClass("jaroWinklerNormalizedName")
public class JaroWinklerNormalizedName extends AbstractStringComparator {

	private Map<String, String> params;

	public JaroWinklerNormalizedName(Map<String, String> params) {
		super(params, new com.wcohen.ss.JaroWinkler());
		this.params = params;
	}

	public JaroWinklerNormalizedName(double weight) {
		super(weight, new com.wcohen.ss.JaroWinkler());
	}

	protected JaroWinklerNormalizedName(double weight, AbstractStringDistance ssalgo) {
		super(weight, ssalgo);
	}

	@Override
	public double distance(String a, String b, final Config conf) {
		String ca = cleanup(a);
		String cb = cleanup(b);

		ca = normalize(ca);
		cb = normalize(cb);

		ca = filterAllStopWords(ca);
		cb = filterAllStopWords(cb);

		Set<String> keywords1 = getKeywords(
			ca, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));
		Set<String> keywords2 = getKeywords(
			cb, conf.translationMap(), Integer.parseInt(params.getOrDefault("windowSize", "4")));

		Set<String> cities1 = getCities(ca, Integer.parseInt(params.getOrDefault("windowSize", "4")));
		Set<String> cities2 = getCities(cb, Integer.parseInt(params.getOrDefault("windowSize", "4")));

		ca = removeKeywords(ca, keywords1);
		ca = removeKeywords(ca, cities1);
		cb = removeKeywords(cb, keywords2);
		cb = removeKeywords(cb, cities2);

		ca = ca.replaceAll("[ ]{2,}", " ");
		cb = cb.replaceAll("[ ]{2,}", " ");

		if (ca.isEmpty() && cb.isEmpty())
			return 1.0;
		else
			return normalize(ssalgo.score(ca, cb));
	}

	@Override
	public double getWeight() {
		return super.weight;
	}

	@Override
	protected double normalize(double d) {
		return d;
	}

}