forked from D-Net/dnet-hadoop
139 lines
2.7 KiB
Java
139 lines
2.7 KiB
Java
package eu.dnetlib.pace.model;
|
|
|
|
import java.io.Serializable;
|
|
import java.lang.reflect.InvocationTargetException;
|
|
import java.util.HashMap;
|
|
import java.util.List;
|
|
import java.util.Map;
|
|
|
|
import com.google.common.base.Splitter;
|
|
import com.google.common.collect.Lists;
|
|
import com.google.gson.Gson;
|
|
import eu.dnetlib.pace.config.PaceConfig;
|
|
import eu.dnetlib.pace.config.Type;
|
|
import eu.dnetlib.pace.distance.*;
|
|
import eu.dnetlib.pace.distance.algo.*;
|
|
import eu.dnetlib.pace.util.PaceException;
|
|
|
|
/**
|
|
* The schema is composed by field definitions (FieldDef). Each field has a type, a name, and an associated distance algorithm.
|
|
*/
|
|
public class FieldDef implements Serializable {
|
|
|
|
public final static String PATH_SEPARATOR = "/";
|
|
|
|
private String algo;
|
|
|
|
private String name;
|
|
|
|
private String path;
|
|
|
|
private boolean ignoreMissing;
|
|
|
|
private Type type;
|
|
|
|
private boolean overrideMatch;
|
|
|
|
private double weight;
|
|
|
|
private int limit = -1;
|
|
|
|
private Map<String, Number> params;
|
|
|
|
public FieldDef() {}
|
|
|
|
// def apply(s: String): Field[A]
|
|
public Field apply(final Type type, final String s) {
|
|
switch (type) {
|
|
case Int:
|
|
return new FieldValueImpl(type, name, Integer.parseInt(s));
|
|
case String:
|
|
return new FieldValueImpl(type, name, s);
|
|
case List:
|
|
return new FieldListImpl(name, type);
|
|
default:
|
|
throw new IllegalArgumentException("Casting not implemented for type " + type);
|
|
}
|
|
}
|
|
|
|
public String getName() {
|
|
return name;
|
|
}
|
|
|
|
public String getPath() {
|
|
return path;
|
|
}
|
|
|
|
public List<String> getPathList() {
|
|
return Lists.newArrayList(Splitter.on(PATH_SEPARATOR).split(getPath()));
|
|
}
|
|
|
|
public DistanceAlgo distanceAlgo() {
|
|
|
|
if (params == null) {
|
|
params = new HashMap<>();
|
|
}
|
|
params.put("limit", getLimit());
|
|
params.put("weight", getWeight());
|
|
return PaceConfig.paceResolver.getDistanceAlgo(getAlgo(), params);
|
|
}
|
|
|
|
public boolean isIgnoreMissing() {
|
|
return ignoreMissing;
|
|
}
|
|
|
|
public Type getType() {
|
|
return type;
|
|
}
|
|
|
|
public void setType(final Type type) {
|
|
this.type = type;
|
|
}
|
|
|
|
public boolean isOverrideMatch() {
|
|
return overrideMatch;
|
|
}
|
|
|
|
public void setOverrideMatch(final boolean overrideMatch) {
|
|
this.overrideMatch = overrideMatch;
|
|
}
|
|
|
|
@Override
|
|
public String toString() {
|
|
return new Gson().toJson(this);
|
|
}
|
|
|
|
public double getWeight() {
|
|
return weight;
|
|
}
|
|
|
|
public void setWeight(final double weight) {
|
|
this.weight = weight;
|
|
}
|
|
|
|
public String getAlgo() {
|
|
return algo;
|
|
}
|
|
|
|
public void setAlgo(final String algo) {
|
|
this.algo = algo;
|
|
}
|
|
|
|
public int getLimit() {
|
|
return limit;
|
|
}
|
|
|
|
public void setLimit(final int limit) {
|
|
this.limit = limit;
|
|
}
|
|
|
|
public Map<String, Number> getParams() {
|
|
return params;
|
|
}
|
|
|
|
public void setParams(final Map<String, Number> params) {
|
|
this.params = params;
|
|
}
|
|
|
|
}
|