You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
dnet-hadoop/dhp-common/src/main/java/eu/dnetlib/dhp/common/PacePerson.java

207 lines
5.8 KiB
Java

package eu.dnetlib.dhp.common;
import java.nio.charset.StandardCharsets;
import java.text.Normalizer;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.text.WordUtils;
import com.google.common.base.Joiner;
import com.google.common.base.Splitter;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import com.google.common.hash.Hashing;
/**
* PacePerson tries to derive information from the fullname string of an author. Such informations are Names, Surnames
* an Fullname split into terms. It provides also an additional field for the original data. The calculation of the
* names and the surnames is not always possible. When it is impossible to assert which are the names and the surnames,
* the lists are empty.
*/
public class PacePerson {
private List<String> name = Lists.newArrayList();
private List<String> surname = Lists.newArrayList();
private List<String> fullname = Lists.newArrayList();
private final String original;
private static Set<String> particles = null;
/**
* Capitalizes a string
*
* @param s the string to capitalize
* @return the input string with capital letter
*/
public static final String capitalize(final String s) {
return WordUtils.capitalize(s.toLowerCase(), ' ', '-');
}
/**
* Adds a dot to a string with length equals to 1
*/
public static final String dotAbbreviations(final String s) {
return s.length() == 1 ? s + "." : s;
}
public static Set<String> loadFromClasspath(final String classpath) {
final Set<String> h = new HashSet<>();
try {
for (final String s : IOUtils.readLines(PacePerson.class.getResourceAsStream(classpath))) {
h.add(s);
}
} catch (final Throwable e) {
return new HashSet<>();
}
return h;
}
/**
* The constructor of the class. It fills the fields of the class basing on the input fullname.
*
* @param s the input string (fullname of the author)
* @param aggressive set the string normalization type
*/
public PacePerson(String s, final boolean aggressive) {
original = s;
s = Normalizer.normalize(s, Normalizer.Form.NFD);
s = s.replaceAll("\\(.+\\)", "");
s = s.replaceAll("\\[.+\\]", "");
s = s.replaceAll("\\{.+\\}", "");
s = s.replaceAll("\\s+-\\s+", "-");
s = s.replaceAll("[\\p{Punct}&&[^,-]]", " ");
s = s.replaceAll("\\d", " ");
s = s.replaceAll("\\n", " ");
s = s.replaceAll("\\.", " ");
s = s.replaceAll("\\s+", " ");
if (aggressive) {
s = s.replaceAll("[\\p{InCombiningDiacriticalMarks}&&[^,-]]", "");
// s = s.replaceAll("[\\W&&[^,-]]", "");
}
// if the string contains a comma, it can derive surname and name by splitting on it
if (s.contains(",")) {
final String[] arr = s.split(",");
if (arr.length == 1) {
fullname = splitTerms(arr[0]);
} else if (arr.length > 1) {
surname = splitTerms(arr[0]);
name = splitTerms(arr[1]);
fullname.addAll(surname);
fullname.addAll(name);
}
} else { // otherwise, it should rely on CAPS terms and short terms
fullname = splitTerms(s);
int lastInitialPosition = fullname.size();
boolean hasSurnameInUpperCase = false;
// computes lastInitialPosition and hasSurnameInUpperCase
for (int i = 0; i < fullname.size(); i++) {
final String term = fullname.get(i);
if (term.length() == 1) {
lastInitialPosition = i; // first word in the name longer than 1 (to avoid name with dots)
} else if (term.equals(term.toUpperCase())) {
hasSurnameInUpperCase = true; // if one of the words is CAPS
}
}
// manages particular cases of fullnames
if (lastInitialPosition < fullname.size() - 1) { // Case: Michele G. Artini
name = fullname.subList(0, lastInitialPosition + 1);
surname = fullname.subList(lastInitialPosition + 1, fullname.size());
} else if (hasSurnameInUpperCase) { // Case: Michele ARTINI
for (final String term : fullname) {
if (term.length() > 1 && term.equals(term.toUpperCase())) {
surname.add(term);
} else {
name.add(term);
}
}
}
}
}
private List<String> splitTerms(final String s) {
if (particles == null) {
particles = loadFromClasspath("/eu/dnetlib/dhp/oa/graph/pace/name_particles.txt");
}
final List<String> list = Lists.newArrayList();
for (final String part : Splitter.on(" ").omitEmptyStrings().split(s)) {
if (!particles.contains(part.toLowerCase())) {
list.add(part);
}
}
return list;
}
public List<String> getName() {
return name;
}
public String getNameString() {
return Joiner.on(" ").join(getName());
}
public List<String> getSurname() {
return surname;
}
public List<String> getFullname() {
return fullname;
}
public String getOriginal() {
return original;
}
public String hash() {
return Hashing
.murmur3_128()
.hashString(getNormalisedFullname(), StandardCharsets.UTF_8)
.toString();
}
public String getNormalisedFirstName() {
return Joiner.on(" ").join(getCapitalFirstnames());
}
public String getNormalisedSurname() {
return Joiner.on(" ").join(getCapitalSurname());
}
public String getSurnameString() {
return Joiner.on(" ").join(getSurname());
}
public String getNormalisedFullname() {
return isAccurate()
? getNormalisedSurname() + ", " + getNormalisedFirstName()
: Joiner.on(" ").join(fullname);
}
public List<String> getCapitalFirstnames() {
return Lists
.newArrayList(
Iterables.transform(getNameWithAbbreviations(), PacePerson::capitalize));
}
public List<String> getCapitalSurname() {
return Lists.newArrayList(Iterables.transform(surname, PacePerson::capitalize));
}
public List<String> getNameWithAbbreviations() {
return Lists.newArrayList(Iterables.transform(name, PacePerson::dotAbbreviations));
}
public boolean isAccurate() {
return name != null && surname != null && !name.isEmpty() && !surname.isEmpty();
}
}