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package eu.dnetlib.pace.model;
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import java.util.List;
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import java.util.Map;
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import com.google.common.base.Splitter;
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import com.google.common.collect.Lists;
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import com.google.gson.Gson;
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import eu.dnetlib.pace.config.Algo;
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import eu.dnetlib.pace.config.Type;
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import eu.dnetlib.pace.distance.*;
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import eu.dnetlib.pace.distance.algo.*;
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/**
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* The schema is composed by field definitions (FieldDef). Each field has a type, a name, and an associated distance algorithm.
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*/
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public class FieldDef {
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public final static String PATH_SEPARATOR = "/";
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private Algo algo;
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private String name;
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private String path;
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private boolean ignoreMissing;
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private Type type;
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private boolean overrideMatch;
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private double weight;
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private int limit = -1;
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private Map<String, String> params;
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public FieldDef() {}
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// def apply(s: String): Field[A]
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public Field apply(final Type type, final String s) {
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switch (type) {
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case Int:
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return new FieldValueImpl(type, name, Integer.parseInt(s));
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case String:
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return new FieldValueImpl(type, name, s);
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case List:
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return new FieldListImpl(name, type);
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default:
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throw new IllegalArgumentException("Casting not implemented for type " + type);
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}
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}
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public String getName() {
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return name;
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}
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public String getPath() {
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return path;
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}
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public List<String> getPathList() {
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return Lists.newArrayList(Splitter.on(PATH_SEPARATOR).split(getPath()));
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}
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public DistanceAlgo getDistanceAlgo() {
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switch (getAlgo()) {
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case JaroWinkler:
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return new JaroWinkler(getWeight());
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case JaroWinklerTitle:
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return new JaroWinklerTitle(getWeight());
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case Level2JaroWinkler:
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return new Level2JaroWinkler(getWeight());
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case Level2JaroWinklerTitle:
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return new Level2JaroWinklerTitle(getWeight());
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case Level2Levenstein:
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return new Level2Levenstein(getWeight());
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case Levenstein:
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return new Levenstein(getWeight());
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case LevensteinTitle:
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return new LevensteinTitle(getWeight());
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case SubStringLevenstein:
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return new SubStringLevenstein(getWeight(), getLimit());
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case YearLevenstein:
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return new YearLevenstein(getWeight(), getLimit());
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case SortedJaroWinkler:
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return new SortedJaroWinkler(getWeight());
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case SortedLevel2JaroWinkler:
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return new SortedLevel2JaroWinkler(getWeight());
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case urlMatcher:
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return new UrlMatcher(getParams(), getWeight());
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case ExactMatch:
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return new ExactMatch(getWeight());
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case MustBeDifferent:
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return new MustBeDifferent(getWeight());
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case AlwaysMatch:
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return new AlwaysMatch(getWeight());
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case PersonCoAnchorsDistance:
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return new PersonCoAnchorsDistance(getParams(), getWeight());
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case PersonCoAuthorSurnamesDistance:
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return new PersonCoAuthorSurnamesDistance(getParams(), getWeight());
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case PersonDistance:
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return new PersonDistance(getParams(), getWeight());
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case Null:
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return new NullDistanceAlgo();
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default:
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return new NullDistanceAlgo();
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}
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}
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public boolean isIgnoreMissing() {
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return ignoreMissing;
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}
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public Type getType() {
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return type;
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}
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public void setType(final Type type) {
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this.type = type;
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}
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public boolean isOverrideMatch() {
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return overrideMatch;
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}
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public void setOverrideMatch(final boolean overrideMatch) {
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this.overrideMatch = overrideMatch;
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}
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@Override
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public String toString() {
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return new Gson().toJson(this);
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}
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public double getWeight() {
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return weight;
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}
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public void setWeight(final double weight) {
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this.weight = weight;
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}
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public Algo getAlgo() {
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return algo;
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}
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public void setAlgo(final Algo algo) {
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this.algo = algo;
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}
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public int getLimit() {
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return limit;
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}
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public void setLimit(final int limit) {
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this.limit = limit;
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}
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public Map<String, String> getParams() {
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return params;
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}
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public void setParams(final Map<String, String> params) {
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this.params = params;
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}
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}
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