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dnet-hadoop
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Code Pull Requests Activity

Refactor Dedup process to use Spark Dataframe API and intermediate representation with Row interface 

JsonPath cache contention fixed by using a ConcurrentHashMap
Blacklist filtering performance improvement
Minor performance improvements when evaluating similarity
Sorting in clustered elements is deterministic (by ordering and identity field, instead of ordering field only)
This commit is contained in:
Giambattista Bloisi 2023-07-18 11:38:56 +02:00
parent bb5b845e3c
commit e64c2854a3
113 changed files with 1644 additions and 2886 deletions
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4
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/AbstractClusteringFunction.java
View File

@ -11,7 +11,6 @@ import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
public abstract class AbstractClusteringFunction extends AbstractPaceFunctions implements ClusteringFunction {
@ -24,11 +23,10 @@ public abstract class AbstractClusteringFunction extends AbstractPaceFunctions i
protected abstract Collection<String> doApply(Config conf, String s);
@Override
public Collection<String> apply(Config conf, List<Field> fields) {
public Collection<String> apply(Config conf, List<String> fields) {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(Field::stringValue)
.map(this::normalize)
.map(s -> filterAllStopWords(s))
.map(s -> doApply(conf, s))

60
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/BlacklistAwareClusteringCombiner.java
View File

@ -1,60 +0,0 @@
package eu.dnetlib.pace.clustering;
import java.util.Collection;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.regex.Pattern;
import com.google.common.collect.Maps;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Document;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldListImpl;
import eu.dnetlib.pace.model.MapDocument;
public class BlacklistAwareClusteringCombiner extends ClusteringCombiner {
public static Collection<String> filterAndCombine(final MapDocument a, final Config conf) {
Document filtered = filter(a, conf.blacklists());
return combine(filtered, conf);
}
private static MapDocument filter(final MapDocument a, final Map<String, List<Pattern>> blacklists) {
if (blacklists == null || blacklists.isEmpty()) {
return a;
}
final Map<String, Field> filtered = Maps.newHashMap(a.getFieldMap());
for (final Entry<String, List<Pattern>> e : blacklists.entrySet()) {
Field fields = a.getFieldMap().get(e.getKey());
if (fields != null) {
final FieldListImpl fl = new FieldListImpl();
for (Field f : fields) {
if (!isBlackListed(f.stringValue(), e.getValue())) {
fl.add(f);
}
}
filtered.put(e.getKey(), fl);
}
}
return new MapDocument(a.getIdentifier(), filtered);
}
private static boolean isBlackListed(String value, List<Pattern> blacklist) {
for (Pattern pattern : blacklist) {
if (pattern.matcher(value).matches()) {
return true;
}
}
return false;
}
}

64
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/ClusteringCombiner.java
View File

@ -1,64 +0,0 @@
package eu.dnetlib.pace.clustering;
import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
import com.google.common.collect.Sets;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.ClusteringDef;
import eu.dnetlib.pace.model.Document;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldValueImpl;
public class ClusteringCombiner {
private static String SEPARATOR = ":";
private static String COLLAPSE_ON = "collapseOn";
public static Collection<String> combine(final Document a, final Config conf) {
final Collection<String> res = Sets.newLinkedHashSet();
for (final ClusteringDef cd : conf.clusterings()) {
for (final String fieldName : cd.getFields()) {
String prefix = getPrefix(cd, fieldName);
Field values = a.values(fieldName);
List<Field> fields = new ArrayList<>();
if (values instanceof FieldValueImpl) {
fields.add(values);
} else {
fields.addAll((List<Field>) values);
}
res
.addAll(
cd
.clusteringFunction()
.apply(conf, fields)
.stream()
.map(k -> prefix + SEPARATOR + k)
.collect(Collectors.toList()));
}
}
return res;
}
private static String getPrefix(ClusteringDef cd, String fieldName) {
return cd.getName() + SEPARATOR +
cd
.getParams()
.keySet()
.stream()
.filter(k -> k.contains(COLLAPSE_ON))
.findFirst()
.map(k -> StringUtils.substringAfter(k, SEPARATOR))
.orElse(fieldName);
}
}

3
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/ClusteringFunction.java
View File

@ -6,11 +6,10 @@ import java.util.List;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
public interface ClusteringFunction {
public Collection<String> apply(Config config, List<Field> fields);
public Collection<String> apply(Config config, List<String> fields);
public Map<String, Integer> getParams();

5
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/KeywordsClustering.java
View File

@ -6,9 +6,7 @@ import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
@ClusteringClass("keywordsclustering")
public class KeywordsClustering extends AbstractClusteringFunction {
@ -40,11 +38,10 @@ public class KeywordsClustering extends AbstractClusteringFunction {
}
@Override
public Collection<String> apply(final Config conf, List<Field> fields) {
public Collection<String> apply(final Config conf, List<String> fields) {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(Field::stringValue)
.map(this::cleanup)
.map(this::normalize)
.map(s -> filterAllStopWords(s))

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/LastNameFirstInitial.java
View File

@ -9,7 +9,6 @@ import org.apache.commons.lang3.StringUtils;
import com.google.common.collect.Lists;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.Person;
@ClusteringClass("lnfi")
@ -22,11 +21,10 @@ public class LastNameFirstInitial extends AbstractClusteringFunction {
}
@Override
public Collection<String> apply(Config conf, List<Field> fields) {
public Collection<String> apply(Config conf, List<String> fields) {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(Field::stringValue)
.map(this::normalize)
.map(s -> doApply(conf, s))
.map(c -> filterBlacklisted(c, ngramBlacklist))

7
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/LowercaseClustering.java
View File

@ -11,7 +11,6 @@ import com.google.common.collect.Lists;
import com.google.common.collect.Sets;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
@ClusteringClass("lowercase")
public class LowercaseClustering extends AbstractClusteringFunction {
@ -21,10 +20,10 @@ public class LowercaseClustering extends AbstractClusteringFunction {
}
@Override
public Collection<String> apply(Config conf, List<Field> fields) {
public Collection<String> apply(Config conf, List<String> fields) {
Collection<String> c = Sets.newLinkedHashSet();
for (Field f : fields) {
c.addAll(doApply(conf, f.stringValue()));
for (String f : fields) {
c.addAll(doApply(conf, f));
}
return c;
}

6
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/NGramUtils.java
View File

@ -8,15 +8,15 @@ import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
public class NGramUtils extends AbstractPaceFunctions {
static private final NGramUtils NGRAMUTILS = new NGramUtils();
private static final int SIZE = 100;
private static Set<String> stopwords = AbstractPaceFunctions
private static final Set<String> stopwords = AbstractPaceFunctions
.loadFromClasspath("/eu/dnetlib/pace/config/stopwords_en.txt");
public static String cleanupForOrdering(String s) {
NGramUtils utils = new NGramUtils();
return (utils.filterStopWords(utils.normalize(s), stopwords) + StringUtils.repeat(" ", SIZE))
return (NGRAMUTILS.filterStopWords(NGRAMUTILS.normalize(s), stopwords) + StringUtils.repeat(" ", SIZE))
.substring(0, SIZE)
.replaceAll(" ", "");
}

7
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/NgramPairs.java
View File

@ -2,7 +2,6 @@
package eu.dnetlib.pace.clustering;
import java.util.Collection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
@ -14,7 +13,11 @@ import eu.dnetlib.pace.config.Config;
public class NgramPairs extends Ngrams {
public NgramPairs(Map<String, Integer> params) {
super(params);
super(params, false);
}
public NgramPairs(Map<String, Integer> params, boolean sorted) {
super(params, sorted);
}
@Override

18
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/Ngrams.java
View File

@ -8,8 +8,15 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("ngrams")
public class Ngrams extends AbstractClusteringFunction {
private final boolean sorted;
public Ngrams(Map<String, Integer> params) {
this(params, false);
}
public Ngrams(Map<String, Integer> params, boolean sorted) {
super(params);
this.sorted = sorted;
}
@Override
@ -19,20 +26,21 @@ public class Ngrams extends AbstractClusteringFunction {
protected Collection<String> getNgrams(String s, int ngramLen, int max, int maxPerToken, int minNgramLen) {
final Collection<String> ngrams = new LinkedHashSet<String>();
final Collection<String> ngrams = sorted ? new TreeSet<>() : new LinkedHashSet<String>();
final StringTokenizer st = new StringTokenizer(s);
while (st.hasMoreTokens()) {
final String token = st.nextToken();
if (!token.isEmpty()) {
for (int i = 0; i < maxPerToken && ngramLen + i <= token.length(); i++) {
String ngram = (token + " ").substring(i, ngramLen + i).trim();
String ngram = token.substring(i, Math.min(ngramLen + i, token.length())).trim();
if (ngram.length() >= minNgramLen) {
ngrams.add(ngram);
if (ngrams.size() >= max) {
return ngrams;
}
if (ngram.length() >= minNgramLen) {
ngrams.add(ngram);
}
}
}

11
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/PersonClustering.java
View File

@ -12,7 +12,6 @@ import com.google.common.collect.Sets;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.Person;
@ClusteringClass("personClustering")
@ -27,19 +26,19 @@ public class PersonClustering extends AbstractPaceFunctions implements Clusterin
}
@Override
public Collection<String> apply(final Config conf, final List<Field> fields) {
public Collection<String> apply(final Config conf, final List<String> fields) {
final Set<String> hashes = Sets.newHashSet();
for (final Field f : fields) {
for (final String f : fields) {
final Person person = new Person(f.stringValue(), false);
final Person person = new Person(f, false);
if (StringUtils.isNotBlank(person.getNormalisedFirstName())
&& StringUtils.isNotBlank(person.getNormalisedSurname())) {
hashes.add(firstLC(person.getNormalisedFirstName()) + person.getNormalisedSurname().toLowerCase());
} else {
for (final String token1 : tokens(f.stringValue(), MAX_TOKENS)) {
for (final String token2 : tokens(f.stringValue(), MAX_TOKENS)) {
for (final String token1 : tokens(f, MAX_TOKENS)) {
for (final String token2 : tokens(f, MAX_TOKENS)) {
if (!token1.equals(token2)) {
hashes.add(firstLC(token1) + token2);
}

2
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/SortedNgramPairs.java
View File

@ -13,7 +13,7 @@ import eu.dnetlib.pace.config.Config;
public class SortedNgramPairs extends NgramPairs {
public SortedNgramPairs(Map<String, Integer> params) {
super(params);
super(params, false);
}
@Override

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/clustering/UrlClustering.java
View File

@ -11,7 +11,6 @@ import java.util.stream.Collectors;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
@ClusteringClass("urlclustering")
public class UrlClustering extends AbstractPaceFunctions implements ClusteringFunction {
@ -23,12 +22,11 @@ public class UrlClustering extends AbstractPaceFunctions implements ClusteringFu
}
@Override
public Collection<String> apply(final Config conf, List<Field> fields) {
public Collection<String> apply(final Config conf, List<String> fields) {
try {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(Field::stringValue)
.map(this::asUrl)
.map(URL::getHost)
.collect(Collectors.toCollection(HashSet::new));

24
dhp-pace-core/src/main/java/eu/dnetlib/pace/common/AbstractPaceFunctions.java
View File

@ -16,13 +16,11 @@ import org.apache.commons.lang3.StringUtils;
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.collect.Sets;
import com.ibm.icu.text.Transliterator;
import eu.dnetlib.pace.clustering.NGramUtils;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.model.FieldListImpl;
/**
* Set of common functions for the framework
@ -51,28 +49,25 @@ public abstract class AbstractPaceFunctions {
protected static Set<String> ngramBlacklist = loadFromClasspath("/eu/dnetlib/pace/config/ngram_blacklist.txt");
// html regex for normalization
public final String HTML_REGEX = "<[^>]*>";
public static final Pattern HTML_REGEX = Pattern.compile("<[^>]*>");
private static final String alpha = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789 ";
private static final String aliases_from = "⁰¹²³⁴⁵⁶⁷⁸⁹⁺⁻⁼⁽⁾ⁿ₀₁₂₃₄₅₆₇₈₉₊₋₌₍₎àáâäæãåāèéêëēėęəîïíīįìôöòóœøōõûüùúūßśšłžźżçćčñń";
private static final String aliases_to = "0123456789+-=()n0123456789+-=()aaaaaaaaeeeeeeeeiiiiiioooooooouuuuussslzzzcccnn";
// doi prefix for normalization
public final String DOI_PREFIX = "(https?:\\/\\/dx\\.doi\\.org\\/)|(doi:)";
public static final Pattern DOI_PREFIX = Pattern.compile("(https?:\\/\\/dx\\.doi\\.org\\/)|(doi:)");
private Pattern numberPattern = Pattern.compile("-?\\d+(\\.\\d+)?");
private static Pattern numberPattern = Pattern.compile("-?\\d+(\\.\\d+)?");
private Pattern hexUnicodePattern = Pattern.compile("\\\\u(\\p{XDigit}{4})");
protected final static FieldList EMPTY_FIELD = new FieldListImpl();
private static Pattern hexUnicodePattern = Pattern.compile("\\\\u(\\p{XDigit}{4})");
protected String concat(final List<String> l) {
return Joiner.on(" ").skipNulls().join(l);
}
protected String cleanup(final String s) {
final String s1 = s.replaceAll(HTML_REGEX, "");
final String s1 = HTML_REGEX.matcher(s).replaceAll("");
final String s2 = unicodeNormalization(s1.toLowerCase());
final String s3 = nfd(s2);
final String s4 = fixXML(s3);
@ -162,11 +157,6 @@ public abstract class AbstractPaceFunctions {
return sb.toString().replaceAll("\\s+", " ");
}
protected String getFirstValue(final Field values) {
return (values != null) && !Iterables.isEmpty(values) ? Iterables.getFirst(values, EMPTY_FIELD).stringValue()
: "";
}
protected boolean notNull(final String s) {
return s != null;
}
@ -316,7 +306,7 @@ public abstract class AbstractPaceFunctions {
}
public String normalizePid(String pid) {
return pid.toLowerCase().replaceAll(DOI_PREFIX, "");
return DOI_PREFIX.matcher(pid.toLowerCase()).replaceAll("");
}
// get the list of keywords into the input string

11
dhp-pace-core/src/main/java/eu/dnetlib/pace/config/Config.java
View File

@ -3,7 +3,7 @@ package eu.dnetlib.pace.config;
import java.util.List;
import java.util.Map;
import java.util.regex.Pattern;
import java.util.function.Predicate;
import eu.dnetlib.pace.model.ClusteringDef;
import eu.dnetlib.pace.model.FieldDef;
@ -30,13 +30,6 @@ public interface Config {
*/
public Map<String, TreeNodeDef> decisionTree();
/**
* Field configuration definitions.
*
* @return the list of definitions
*/
public Map<String, FieldDef> modelMap();
/**
* Clusterings.
*
@ -49,7 +42,7 @@ public interface Config {
*
* @return the map
*/
public Map<String, List<Pattern>> blacklists();
public Map<String, Predicate<String>> blacklists();
/**
* Translation map.

41
dhp-pace-core/src/main/java/eu/dnetlib/pace/config/DedupConfig.java
View File

@ -4,18 +4,19 @@ package eu.dnetlib.pace.config;
import java.io.IOException;
import java.io.Serializable;
import java.nio.charset.StandardCharsets;
import java.util.AbstractMap;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.function.Predicate;
import java.util.regex.Pattern;
import java.util.regex.PatternSyntaxException;
import java.util.stream.Collectors;
import org.antlr.stringtemplate.StringTemplate;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.databind.ObjectMapper;
@ -27,9 +28,6 @@ import eu.dnetlib.pace.tree.support.TreeNodeDef;
import eu.dnetlib.pace.util.PaceException;
public class DedupConfig implements Config, Serializable {
private static final Log log = LogFactory.getLog(DedupConfig.class);
private static String CONFIG_TEMPLATE = "dedupConfig.st";
private PaceConfig pace;
@ -37,7 +35,7 @@ public class DedupConfig implements Config, Serializable {
private WfConfig wf;
@JsonIgnore
private Map<String, List<Pattern>> blacklists;
private Map<String, Predicate<String>> blacklists;
private static Map<String, String> defaults = Maps.newHashMap();
@ -72,19 +70,29 @@ public class DedupConfig implements Config, Serializable {
.getBlacklists()
.entrySet()
.stream()
.collect(
Collectors
.toMap(
e -> e.getKey(),
e -> e
.map(
e -> new AbstractMap.SimpleEntry<String, List<Pattern>>(e.getKey(),
e
.getValue()
.stream()
.filter(s -> !StringUtils.isBlank(s))
.map(Pattern::compile)
.collect(Collectors.toList())));
.collect(Collectors.toList())))
.collect(
Collectors
.toMap(
e -> e.getKey(),
e -> (Predicate<String> & Serializable) s -> e
.getValue()
.stream()
.filter(p -> p.matcher(s).matches())
.findFirst()
.isPresent()))
;
return config;
} catch (IOException e) {
} catch (IOException | PatternSyntaxException e) {
throw new PaceException("Error in parsing configuration json", e);
}
@ -152,18 +160,13 @@ public class DedupConfig implements Config, Serializable {
return getPace().getModel();
}
@Override
public Map<String, FieldDef> modelMap() {
return getPace().getModelMap();
}
@Override
public List<ClusteringDef> clusterings() {
return getPace().getClustering();
}
@Override
public Map<String, List<Pattern>> blacklists() {
public Map<String, Predicate<String>> blacklists() {
return blacklists;
}

13
dhp-pace-core/src/main/java/eu/dnetlib/pace/config/PaceConfig.java
View File

@ -28,6 +28,10 @@ public class PaceConfig extends AbstractPaceFunctions implements Serializable {
@JsonIgnore
private Map<String, String> translationMap;
public Map<String, FieldDef> getModelMap() {
return modelMap;
}
@JsonIgnore
private Map<String, FieldDef> modelMap;
@ -101,13 +105,4 @@ public class PaceConfig extends AbstractPaceFunctions implements Serializable {
public void setSynonyms(Map<String, List<String>> synonyms) {
this.synonyms = synonyms;
}
public Map<String, FieldDef> getModelMap() {
return modelMap;
}
public void setModelMap(final Map<String, FieldDef> modelMap) {
this.modelMap = modelMap;
}
}

72
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/AbstractField.java
View File

@ -1,72 +0,0 @@
package eu.dnetlib.pace.model;
import eu.dnetlib.pace.config.Type;
/**
* The Class AbstractField.
*/
public abstract class AbstractField implements Field {
/** The type. */
protected Type type = Type.String;
/** The name. */
protected String name;
/**
* Instantiates a new abstract field.
*/
protected AbstractField() {
}
/**
* Instantiates a new abstract field.
*
* @param type
* the type
* @param name
* the name
*/
protected AbstractField(final Type type, final String name) {
this.type = type;
this.name = name;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#getName()
*/
@Override
public String getName() {
return name;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#getType()
*/
@Override
public Type getType() {
return type;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#setName(java.lang.String)
*/
@Override
public void setName(final String name) {
this.name = name;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#setType(eu.dnetlib.pace.config.Type)
*/
@Override
public void setType(final Type type) {
this.type = type;
}
}

40
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/Document.java
View File

@ -1,40 +0,0 @@
package eu.dnetlib.pace.model;
import java.util.Set;
/**
* The Interface Document. Models the common operations available on a Pace Document.
*/
public interface Document {
/**
* Gets the identifier.
*
* @return the identifier
*/
String getIdentifier();
/**
* Fields.
*
* @return the iterable
*/
Iterable<Field> fields();
/**
* Values.
*
* @param name
* the name
* @return the field list
*/
Field values(String name);
/**
* Field names.
*
* @return the sets the
*/
Set<String> fieldNames();
}

57
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/Field.java
View File

@ -1,57 +0,0 @@
package eu.dnetlib.pace.model;
import java.io.Serializable;
import eu.dnetlib.pace.config.Type;
/**
* The Interface Field.
*/
public interface Field extends Iterable<Field>, Serializable {
/**
* Gets the name.
*
* @return the name
*/
public String getName();
/**
* Sets the name.
*
* @param name
* the new name
*/
public void setName(String name);
/**
* Gets the type.
*
* @return the type
*/
public Type getType();
/**
* Sets the type.
*
* @param type
* the new type
*/
public void setType(Type type);
/**
* Checks if is empty.
*
* @return true, if is empty
*/
public boolean isEmpty();
/**
* String value.
*
* @return the string
*/
public String stringValue();
}

14
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/FieldDef.java
View File

@ -39,20 +39,6 @@ public class FieldDef implements Serializable {
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;
}

25
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/FieldList.java
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@ -1,25 +0,0 @@
package eu.dnetlib.pace.model;
import java.util.List;
/**
* The Interface FieldList.
*/
public interface FieldList extends List<Field>, Field {
/**
* String list.
*
* @return the list
*/
public List<String> stringList();
/**
* Double[] Array
*
* @return the double[] array
*/
public double[] doubleArray();
}

315
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/FieldListImpl.java
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@ -1,315 +0,0 @@
package eu.dnetlib.pace.model;
import java.util.Collection;
import java.util.Iterator;
import java.util.List;
import java.util.ListIterator;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.base.Function;
import com.google.common.base.Joiner;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import eu.dnetlib.pace.config.Type;
/**
* The Class FieldListImpl.
*/
public class FieldListImpl extends AbstractField implements FieldList {
/** The fields. */
private List<Field> fields;
/**
* Instantiates a new field list impl.
*/
public FieldListImpl() {
fields = Lists.newArrayList();
}
/**
* Instantiates a new field list impl.
*
* @param name
* the name
*/
public FieldListImpl(final String name, final Type type) {
super(type, name);
fields = Lists.newArrayList();
}
/*
* (non-Javadoc)
* @see java.util.List#add(java.lang.Object)
*/
@Override
public boolean add(final Field f) {
return fields.add(f);
}
/*
* (non-Javadoc)
* @see java.util.List#add(int, java.lang.Object)
*/
@Override
public void add(final int i, final Field f) {
fields.add(i, f);
}
/*
* (non-Javadoc)
* @see java.util.List#addAll(java.util.Collection)
*/
@Override
public boolean addAll(final Collection<? extends Field> f) {
return fields.addAll(f);
}
/*
* (non-Javadoc)
* @see java.util.List#addAll(int, java.util.Collection)
*/
@Override
public boolean addAll(final int i, final Collection<? extends Field> f) {
return fields.addAll(i, f);
}
/*
* (non-Javadoc)
* @see java.util.List#clear()
*/
@Override
public void clear() {
fields.clear();
}
/*
* (non-Javadoc)
* @see java.util.List#contains(java.lang.Object)
*/
@Override
public boolean contains(final Object o) {
return fields.contains(o);
}
/*
* (non-Javadoc)
* @see java.util.List#containsAll(java.util.Collection)
*/
@Override
public boolean containsAll(final Collection<?> f) {
return fields.containsAll(f);
}
/*
* (non-Javadoc)
* @see java.util.List#get(int)
*/
@Override
public Field get(final int i) {
return fields.get(i);
}
/*
* (non-Javadoc)
* @see java.util.List#indexOf(java.lang.Object)
*/
@Override
public int indexOf(final Object o) {
return fields.indexOf(o);
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#isEmpty()
*/
@Override
public boolean isEmpty() {
return Iterables.all(fields, f -> f.isEmpty());
}
/*
* (non-Javadoc)
* @see java.lang.Iterable#iterator()
*/
@Override
public Iterator<Field> iterator() {
return fields.iterator();
}
/*
* (non-Javadoc)
* @see java.util.List#lastIndexOf(java.lang.Object)
*/
@Override
public int lastIndexOf(final Object o) {
return fields.lastIndexOf(o);
}
/*
* (non-Javadoc)
* @see java.util.List#listIterator()
*/
@Override
public ListIterator<Field> listIterator() {
return fields.listIterator();
}
/*
* (non-Javadoc)
* @see java.util.List#listIterator(int)
*/
@Override
public ListIterator<Field> listIterator(final int i) {
return fields.listIterator(i);
}
/*
* (non-Javadoc)
* @see java.util.List#remove(java.lang.Object)
*/
@Override
public boolean remove(final Object o) {
return fields.remove(o);
}
/*
* (non-Javadoc)
* @see java.util.List#remove(int)
*/
@Override
public Field remove(final int i) {
return fields.remove(i);
}
/*
* (non-Javadoc)
* @see java.util.List#removeAll(java.util.Collection)
*/
@Override
public boolean removeAll(final Collection<?> f) {
return fields.removeAll(f);
}
/*
* (non-Javadoc)
* @see java.util.List#retainAll(java.util.Collection)
*/
@Override
public boolean retainAll(final Collection<?> f) {
return fields.retainAll(f);
}
/*
* (non-Javadoc)
* @see java.util.List#set(int, java.lang.Object)
*/
@Override
public Field set(final int i, final Field f) {
return fields.set(i, f);
}
/*
* (non-Javadoc)
* @see java.util.List#size()
*/
@Override
public int size() {
return fields.size();
}
/*
* (non-Javadoc)
* @see java.util.List#subList(int, int)
*/
@Override
public List<Field> subList(final int from, final int to) {
return fields.subList(from, to);
}
/*
* (non-Javadoc)
* @see java.util.List#toArray()
*/
@Override
public Object[] toArray() {
return fields.toArray();
}
/*
* (non-Javadoc)
* @see java.util.List#toArray(java.lang.Object[])
*/
@Override
public <T> T[] toArray(final T[] t) {
return fields.toArray(t);
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#stringValue()
*/
@Override
public String stringValue() {
switch (getType()) {
case List:
case Int:
case String:
return Joiner.on(" ").join(stringList());
case JSON:
String json;
try {
json = new ObjectMapper().writeValueAsString(this);
} catch (JsonProcessingException e) {
json = null;
}
return json;
default:
throw new IllegalArgumentException("Unknown type: " + getType().toString());
}
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.FieldList#stringList()
*/
@Override
public List<String> stringList() {
return Lists.newArrayList(Iterables.transform(fields, getValuesTransformer()));
}
private Function<Field, String> getValuesTransformer() {
return new Function<Field, String>() {
@Override
public String apply(final Field f) {
return f.stringValue();
}
};
}
@Override
public double[] doubleArray() {
return Lists.newArrayList(Iterables.transform(fields, getDouble())).stream().mapToDouble(d -> d).toArray();
}
private Function<Field, Double> getDouble() {
return new Function<Field, Double>() {
@Override
public Double apply(final Field f) {
return Double.parseDouble(f.stringValue());
}
};
}
@Override
public String toString() {
return stringList().toString();
}
}

26
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/FieldValue.java
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@ -1,26 +0,0 @@
package eu.dnetlib.pace.model;
/**
* The Interface FieldValue.
*/
public interface FieldValue extends Field {
/**
* Gets the value.
*
* @return the value
*/
public Object getValue();
/**
* Sets the value.
*
* @param value
* the new value
*/
public void setValue(final Object value);
public double[] doubleArrayValue();
}

135
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/FieldValueImpl.java
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@ -1,135 +0,0 @@
package eu.dnetlib.pace.model;
import java.net.MalformedURLException;
import java.net.URL;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.config.Type;
/**
* The Class FieldValueImpl.
*/
public class FieldValueImpl extends AbstractField implements FieldValue {
/** The value. */
private Object value = null;
/**
* Instantiates a new field value impl.
*/
public FieldValueImpl() {
}
/**
* Instantiates a new field value impl.
*
* @param type
* the type
* @param name
* the name
* @param value
* the value
*/
public FieldValueImpl(final Type type, final String name, final Object value) {
super(type, name);
this.value = value;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#isEmpty()
*/
@Override
public boolean isEmpty() {
if (value == null)
return false;
switch (type) {
case String:
case JSON:
return value.toString().isEmpty();
case List:
try {
List<?> list = (List<?>) value;
return list.isEmpty() || ((FieldValueImpl) list.get(0)).isEmpty();
} catch (Exception e) {
throw new RuntimeException(value.toString());
}
case URL:
String str = value.toString();
return StringUtils.isBlank(str) || !isValidURL(str);
case DoubleArray:
return doubleArrayValue().length == 0;
default:
return true;
}
}
private boolean isValidURL(final String s) {
try {
new URL(s);
return true;
} catch (MalformedURLException e) {
return false;
}
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.FieldValue#getValue()
*/
@Override
public Object getValue() {
return value;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.FieldValue#setValue(java.lang.Object)
*/
@Override
public void setValue(final Object value) {
this.value = value;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.Field#stringValue()
*/
@Override
// @SuppressWarnings("unchecked")
public String stringValue() {
return String.valueOf(getValue());
// switch (getType()) {
//
// case Int:
// return String.valueOf(getValue());
// case List:
// return Joiner.on(" ").join((List<String>) getValue());
// case String:
// return (String) getValue();
// default:
// throw new IllegalArgumentException("Unknown type: " + getType().toString());
// }
}
public double[] doubleArrayValue() {
return (double[]) getValue();
}
/*
* (non-Javadoc)
* @see java.lang.Iterable#iterator()
*/
@Override
@SuppressWarnings("unchecked")
public Iterator<Field> iterator() {
return Collections.singleton((Field) this).iterator();
}
}

143
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/MapDocument.java
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@ -1,143 +0,0 @@
package eu.dnetlib.pace.model;
import java.io.Serializable;
import java.util.Map;
import java.util.Set;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
/**
* The Class MapDocument.
*/
public class MapDocument implements Document, Serializable {
/** The identifier. */
private String identifier;
/** The field map. */
private Map<String, Field> fieldMap;
/**
* Instantiates a new map document.
*/
public MapDocument() {
identifier = null;
fieldMap = Maps.newHashMap();
}
/**
* Instantiates a new map document.
*
* @param identifier
* the identifier
* @param fieldMap
* the field map
*/
public MapDocument(final String identifier, final Map<String, Field> fieldMap) {
this.setIdentifier(identifier);
this.fieldMap = fieldMap;
}
/**
* Instantiates a new map document.
*
* @param identifier
* the identifier
* @param data
* the data
*/
public MapDocument(final String identifier, final byte[] data) {
final MapDocument doc = MapDocumentSerializer.decode(data);
this.fieldMap = doc.fieldMap;
this.identifier = doc.identifier;
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.document.Document#fields()
*/
@Override
public Iterable<Field> fields() {
return Lists.newArrayList(Iterables.concat(fieldMap.values()));
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.document.Document#values(java.lang.String)
*/
@Override
public Field values(final String name) {
return fieldMap.get(name);
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.document.Document#fieldNames()
*/
@Override
public Set<String> fieldNames() {
return fieldMap.keySet();
}
/*
* (non-Javadoc)
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
return MapDocumentSerializer.toString(this);
// return String.format("Document(%s)", fieldMap.toString());
}
/**
* To byte array.
*
* @return the byte[]
*/
public byte[] toByteArray() {
return MapDocumentSerializer.toByteArray(this);
}
/*
* (non-Javadoc)
* @see eu.dnetlib.pace.model.document.Document#getIdentifier()
*/
@Override
public String getIdentifier() {
return identifier;
}
/**
* Sets the identifier.
*
* @param identifier
* the new identifier
*/
public void setIdentifier(final String identifier) {
this.identifier = identifier;
}
/**
* Gets the field map.
*
* @return the field map
*/
public Map<String, Field> getFieldMap() {
return fieldMap;
}
/**
* Sets the field map.
*
* @param fieldMap
* the field map
*/
public void setFieldMap(final Map<String, Field> fieldMap) {
this.fieldMap = fieldMap;
}
}

52
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/MapDocumentComparator.java
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@ -1,52 +0,0 @@
package eu.dnetlib.pace.model;
import java.util.Comparator;
import com.google.common.collect.Iterables;
import eu.dnetlib.pace.clustering.NGramUtils;
/**
* The Class MapDocumentComparator.
*/
public class MapDocumentComparator implements Comparator<Document> {
/** The comparator field. */
private String comparatorField;
private final FieldList emptyField = new FieldListImpl();
/**
* Instantiates a new map document comparator.
*
* @param comparatorField
* the comparator field
*/
public MapDocumentComparator(final String comparatorField) {
this.comparatorField = comparatorField;
}
/*
* (non-Javadoc)
* @see java.util.Comparator#compare(java.lang.Object, java.lang.Object)
*/
@Override
public int compare(final Document d1, final Document d2) {
if (d1.values(comparatorField).isEmpty() || d2.values(comparatorField).isEmpty())
return 0;
final String o1 = Iterables.getFirst(d1.values(comparatorField), emptyField).stringValue();
final String o2 = Iterables.getFirst(d2.values(comparatorField), emptyField).stringValue();
if ((o1 == null) || (o2 == null))
return 0;
final String to1 = NGramUtils.cleanupForOrdering(o1);
final String to2 = NGramUtils.cleanupForOrdering(o2);
return to1.compareTo(to2);
}
}

103
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/MapDocumentSerializer.java
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@ -1,103 +0,0 @@
package eu.dnetlib.pace.model;
import java.lang.reflect.Type;
import com.google.gson.GsonBuilder;
import com.google.gson.InstanceCreator;
import com.google.gson.JsonDeserializationContext;
import com.google.gson.JsonDeserializer;
import com.google.gson.JsonElement;
import com.google.gson.JsonObject;
import com.google.gson.JsonParseException;
/**
* The Class MapDocumentSerializer.
*/
public class MapDocumentSerializer implements InstanceCreator<MapDocument> {
@Override
public MapDocument createInstance(final Type type) {
return new MapDocument();
}
/**
* Decode.
*
* @param s
* the String
* @return the map document
*/
public static MapDocument decode(final String s) {
final GsonBuilder gson = new GsonBuilder();
gson.registerTypeAdapter(Field.class, new JsonDeserializer<Field>() {
@Override
public Field deserialize(final JsonElement json, final Type typeOfT,
final JsonDeserializationContext context) throws JsonParseException {
final FieldListImpl fl = new FieldListImpl();
if (json.isJsonObject()) {
fl.add(handleJsonObject(json.getAsJsonObject()));
} else if (json.isJsonArray()) {
for (final JsonElement e : json.getAsJsonArray()) {
if (e.isJsonObject()) {
fl.add(handleJsonObject(e.getAsJsonObject()));
}
}
}
return fl;
}
private Field handleJsonObject(final JsonObject o) {
final FieldListImpl fl = new FieldListImpl();
final String name = o.get("name").getAsString();
final String type = o.get("type").getAsString();
final String value = o.get("value").getAsString();
fl.add(new FieldValueImpl(eu.dnetlib.pace.config.Type.valueOf(type), name, value));
return fl;
}
});
return gson.create().fromJson(s, MapDocument.class);
}
/**
* Decode.
*
* @param bytes
* the bytes
* @return the map document
*/
public static MapDocument decode(final byte[] bytes) {
return decode(new String(bytes));
}
/**
* To string.
*
* @param doc
* the doc
* @return the string
*/
public static String toString(final MapDocument doc) {
final GsonBuilder b = new GsonBuilder();
return b.setPrettyPrinting().create().toJson(doc);
}
/**
* To byte array.
*
* @param doc
* the doc
* @return the byte[]
*/
public static byte[] toByteArray(final MapDocument doc) {
return toString(doc).getBytes();
}
}

65
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/RowDataOrderingComparator.java Normal file
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@ -0,0 +1,65 @@
package eu.dnetlib.pace.model;
import java.util.Comparator;
import org.apache.spark.sql.Row;
import eu.dnetlib.pace.clustering.NGramUtils;
/**
* The Class MapDocumentComparator.
*/
public class RowDataOrderingComparator implements Comparator<Row> {
/** The comparator field. */
private final int comparatorField;
private final int identityFieldPosition;
/**
* Instantiates a new map document comparator.
*
* @param comparatorField
* the comparator field
*/
public RowDataOrderingComparator(final int comparatorField, int identityFieldPosition) {
this.comparatorField = comparatorField;
this.identityFieldPosition = identityFieldPosition;
}
/*
* (non-Javadoc)
* @see java.util.Comparator#compare(java.lang.Object, java.lang.Object)
*/
@Override
public int compare(final Row d1, final Row d2) {
if (d1 == null)
return d2 == null ? 0 : -1;
else if (d2 == null) {
return 1;
}
final String o1 = d1.getString(comparatorField);
final String o2 = d2.getString(comparatorField);
if (o1 == null)
return o2 == null ? 0 : -1;
else if (o2 == null) {
return 1;
}
final String to1 = NGramUtils.cleanupForOrdering(o1);
final String to2 = NGramUtils.cleanupForOrdering(o2);
int res = to1.compareTo(to2);
if (res == 0) {
res = o1.compareTo(o2);
if (res == 0) {
return d1.getString(identityFieldPosition).compareTo(d2.getString(identityFieldPosition));
}
}
return res;
}
}

131
dhp-pace-core/src/main/java/eu/dnetlib/pace/model/SparkDeduper.scala Normal file
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package eu.dnetlib.pace.model
import eu.dnetlib.pace.config.{DedupConfig, Type}
import eu.dnetlib.pace.util.{BlockProcessor, SparkReporter}
import org.apache.spark.SparkContext
import org.apache.spark.sql.catalyst.expressions.Literal
import org.apache.spark.sql.expressions._
import org.apache.spark.sql.functions.{col, lit, udf}
import org.apache.spark.sql.types._
import org.apache.spark.sql.{Column, Dataset, Row, functions}
import java.util.function.Predicate
import java.util.stream.Collectors
import scala.collection.JavaConversions._
import scala.collection.JavaConverters._
import scala.collection.mutable
case class SparkDeduper(conf: DedupConfig) extends Serializable {
val model: SparkModel = SparkModel(conf)
val dedup: (Dataset[Row] => Dataset[Row]) = df => {
df.transform(filterAndCleanup)
.transform(generateClustersWithCollect)
.transform(processBlocks)
}
val filterAndCleanup: (Dataset[Row] => Dataset[Row]) = df => {
val df_with_filters = conf.getPace.getModel.asScala.foldLeft(df)((res, fdef) => {
if (conf.blacklists.containsKey(fdef.getName)) {
res.withColumn(
fdef.getName + "_filtered",
filterColumnUDF(fdef).apply(new Column(fdef.getName))
)
} else {
res
}
})
df_with_filters
}
def filterColumnUDF(fdef: FieldDef): UserDefinedFunction = {
val blacklist: Predicate[String] = conf.blacklists().get(fdef.getName)
if (blacklist == null) {
throw new IllegalArgumentException("Column: " + fdef.getName + " does not have any filter")
} else {
fdef.getType match {
case Type.List | Type.JSON =>
udf[Array[String], Array[String]](values => {
values.filter((v: String) => !blacklist.test(v))
})
case _ =>
udf[String, String](v => {
if (blacklist.test(v)) ""
else v
})
}
}
}
val generateClustersWithCollect: (Dataset[Row] => Dataset[Row]) = df_with_filters => {
var df_with_clustering_keys: Dataset[Row] = null
for ((cd, idx) <- conf.clusterings().zipWithIndex) {
val inputColumns = cd.getFields().foldLeft(Seq[Column]())((acc, fName) => {
val column = if (conf.blacklists.containsKey(fName))
Seq(col(fName + "_filtered"))
else
Seq(col(fName))
acc ++ column
})
// Add 'key' column with the value generated by the given clustering definition
val ds: Dataset[Row] = df_with_filters
.withColumn("clustering", lit(cd.getName + "::" + idx))
.withColumn("key", functions.explode(clusterValuesUDF(cd).apply(functions.array(inputColumns: _*))))
// Add position column having the position of the row within the set of rows having the same key value ordered by the sorting value
.withColumn("position", functions.row_number().over(Window.partitionBy("key").orderBy(col(model.orderingFieldName), col(model.identifierFieldName))))
if (df_with_clustering_keys == null)
df_with_clustering_keys = ds
else
df_with_clustering_keys = df_with_clustering_keys.union(ds)
}
//TODO: analytics
val df_with_blocks = df_with_clustering_keys
// filter out rows with position exceeding the maxqueuesize parameter
.filter(col("position").leq(conf.getWf.getQueueMaxSize))
.groupBy("clustering", "key")
.agg(functions.collect_set(functions.struct(model.schema.fieldNames.map(col): _*)).as("block"))
.filter(functions.size(new Column("block")).gt(1))
df_with_blocks
}
def clusterValuesUDF(cd: ClusteringDef) = {
udf[mutable.WrappedArray[String], mutable.WrappedArray[Any]](values => {
values.flatMap(f => cd.clusteringFunction().apply(conf, Seq(f.toString).asJava).asScala)
})
}
val processBlocks: (Dataset[Row] => Dataset[Row]) = df => {
df.filter(functions.size(new Column("block")).geq(new Literal(2, DataTypes.IntegerType)))
.withColumn("relations", processBlock(df.sqlContext.sparkContext).apply(new Column("block")))
.select(functions.explode(new Column("relations")).as("relation"))
}
def processBlock(implicit sc: SparkContext) = {
val accumulators = SparkReporter.constructAccumulator(conf, sc)
udf[Array[(String, String)], mutable.WrappedArray[Row]](block => {
val reporter = new SparkReporter(accumulators)
val mapDocuments = block.asJava.stream()
.sorted(new RowDataOrderingComparator(model.orderingFieldPosition, model.identityFieldPosition))
.limit(conf.getWf.getQueueMaxSize)
.collect(Collectors.toList[Row]())
new BlockProcessor(conf, model.identityFieldPosition, model.orderingFieldPosition).processSortedRows(mapDocuments, reporter)
reporter.getRelations.asScala.toArray
}).asNondeterministic()
}
}

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dhp-pace-core/src/main/java/eu/dnetlib/pace/model/SparkModel.scala Normal file
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package eu.dnetlib.pace.model
import com.jayway.jsonpath.{Configuration, JsonPath}
import eu.dnetlib.pace.config.{DedupConfig, Type}
import eu.dnetlib.pace.util.MapDocumentUtil
import org.apache.spark.sql.catalyst.encoders.RowEncoder
import org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema
import org.apache.spark.sql.types.{DataTypes, Metadata, StructField, StructType}
import org.apache.spark.sql.{Dataset, Row}
import java.util.regex.Pattern
import scala.collection.JavaConverters._
case class SparkModel(conf: DedupConfig) {
private val URL_REGEX: Pattern = Pattern.compile("^\\s*(http|https|ftp)\\://.*")
private val CONCAT_REGEX: Pattern = Pattern.compile("\\|\\|\\|")
val identifierFieldName = "identifier"
val orderingFieldName = if (!conf.getWf.getOrderField.isEmpty) conf.getWf.getOrderField else identifierFieldName
val schema: StructType = {
// create an implicit identifier field
val identifier = new FieldDef()
identifier.setName(identifierFieldName)
identifier.setType(Type.String)
// Construct a Spark StructType representing the schema of the model
(Seq(identifier) ++ conf.getPace.getModel.asScala)
.foldLeft(
new StructType()
)((resType, fieldDef) => {
resType.add(fieldDef.getType match {
case Type.List | Type.JSON =>
StructField(fieldDef.getName, DataTypes.createArrayType(DataTypes.StringType), true, Metadata.empty)
case Type.DoubleArray =>
StructField(fieldDef.getName, DataTypes.createArrayType(DataTypes.DoubleType), true, Metadata.empty)
case _ =>
StructField(fieldDef.getName, DataTypes.StringType, true, Metadata.empty)
})
})
}
val identityFieldPosition: Int = schema.fieldIndex(identifierFieldName)
val orderingFieldPosition: Int = schema.fieldIndex(orderingFieldName)
val parseJsonDataset: (Dataset[String] => Dataset[Row]) = df => {
df.map(r => rowFromJson(r))(RowEncoder(schema))
}
def rowFromJson(json: String): Row = {
val documentContext =
JsonPath.using(Configuration.defaultConfiguration.addOptions(com.jayway.jsonpath.Option.SUPPRESS_EXCEPTIONS)).parse(json)
val values = new Array[Any](schema.size)
values(identityFieldPosition) = MapDocumentUtil.getJPathString(conf.getWf.getIdPath, documentContext)
schema.fieldNames.zipWithIndex.foldLeft(values) {
case ((res, (fname, index))) => {
val fdef = conf.getPace.getModelMap.get(fname)
if (fdef != null) {
res(index) = fdef.getType match {
case Type.String | Type.Int =>
MapDocumentUtil.truncateValue(
MapDocumentUtil.getJPathString(fdef.getPath, documentContext),
fdef.getLength
)
case Type.URL =>
var uv = MapDocumentUtil.getJPathString(fdef.getPath, documentContext)
if (!URL_REGEX.matcher(uv).matches)
uv = ""
uv
case Type.List | Type.JSON =>
MapDocumentUtil.truncateList(
MapDocumentUtil.getJPathList(fdef.getPath, documentContext, fdef.getType),
fdef.getSize
).toArray
case Type.StringConcat =>
val jpaths = CONCAT_REGEX.split(fdef.getPath)
MapDocumentUtil.truncateValue(
jpaths
.map(jpath => MapDocumentUtil.getJPathString(jpath, documentContext))
.mkString(" "),
fdef.getLength
)
case Type.DoubleArray =>
MapDocumentUtil.getJPathArray(fdef.getPath, json)
}
}
res
}
}
new GenericRowWithSchema(values, schema)
}
}

5
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/AlwaysMatch.java
View File

@ -6,12 +6,11 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("alwaysMatch")
public class AlwaysMatch extends AbstractComparator {
public class AlwaysMatch<T> extends AbstractComparator<T> {
public AlwaysMatch(final Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());
@ -26,7 +25,7 @@ public class AlwaysMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
public double compare(final Object a, final Object b, final Config conf) {
return 1.0;
}

26
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/AuthorsMatch.java
View File

@ -1,25 +1,19 @@
package eu.dnetlib.pace.tree;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import com.google.common.collect.Iterables;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.model.Person;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractListComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("authorsMatch")
public class AuthorsMatch extends AbstractComparator {
public class AuthorsMatch extends AbstractListComparator {
Map<String, String> params;
@ -49,24 +43,16 @@ public class AuthorsMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
public double compare(final List<String> a, final List<String> b, final Config conf) {
if (a.isEmpty() || b.isEmpty())
return -1;
if (((FieldList) a).size() > SIZE_THRESHOLD || ((FieldList) b).size() > SIZE_THRESHOLD)
if (a.size() > SIZE_THRESHOLD || b.size() > SIZE_THRESHOLD)
return 1.0;
List<Person> aList = ((FieldList) a)
.stringList()
.stream()
.map(author -> new Person(author, false))
.collect(Collectors.toList());
List<Person> bList = ((FieldList) b)
.stringList()
.stream()
.map(author -> new Person(author, false))
.collect(Collectors.toList());
List<Person> aList = a.stream().map(author -> new Person(author, false)).collect(Collectors.toList());
List<Person> bList = b.stream().map(author -> new Person(author, false)).collect(Collectors.toList());
common = 0;
// compare each element of List1 with each element of List2

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/CityMatch.java
View File

@ -5,11 +5,11 @@ import java.util.Map;
import java.util.Set;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("cityMatch")
public class CityMatch extends AbstractComparator {
public class CityMatch extends AbstractStringComparator {
private Map<String, String> params;

22
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/CosineSimilarity.java
View File

@ -1,21 +1,14 @@
package eu.dnetlib.pace.tree;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.model.FieldValueImpl;
import eu.dnetlib.pace.model.Person;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("cosineSimilarity")
public class CosineSimilarity extends AbstractComparator {
public class CosineSimilarity extends AbstractComparator<double[]> {
Map<String, String> params;
@ -24,15 +17,16 @@ public class CosineSimilarity extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
public double compare(Object a, Object b, Config config) {
return compare((double[]) a, (double[]) b, config);
}
if (a.isEmpty() || b.isEmpty())
public double compare(final double[] a, final double[] b, final Config conf) {
if (a.length == 0 || b.length == 0)
return -1;
double[] aVector = ((FieldValueImpl) a).doubleArrayValue();
double[] bVector = ((FieldValueImpl) b).doubleArrayValue();
return cosineSimilarity(aVector, bVector);
return cosineSimilarity(a, b);
}
double cosineSimilarity(double[] a, double[] b) {

5
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/DoiExactMatch.java
View File

@ -3,7 +3,6 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
@ -21,8 +20,8 @@ public class DoiExactMatch extends ExactMatchIgnoreCase {
}
@Override
protected String getValue(final Field f) {
return super.getValue(f).replaceAll(PREFIX, "");
protected String toString(final Object f) {
return super.toString(f).replaceAll(PREFIX, "");
}
}

5
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/DomainExactMatch.java
View File

@ -5,7 +5,6 @@ import java.net.MalformedURLException;
import java.net.URL;
import java.util.Map;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("domainExactMatch")
@ -16,10 +15,10 @@ public class DomainExactMatch extends ExactMatchIgnoreCase {
}
@Override
protected String getValue(final Field f) {
protected String toString(final Object f) {
try {
return asUrl(super.getValue(f)).getHost();
return asUrl(super.toString(f)).getHost();
} catch (MalformedURLException e) {
return "";
}

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/ExactMatch.java
View File

@ -6,11 +6,11 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("exactMatch")
public class ExactMatch extends AbstractComparator {
public class ExactMatch extends AbstractStringComparator {
public ExactMatch(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());

18
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/ExactMatchIgnoreCase.java
View File

@ -4,30 +4,26 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("exactMatchIgnoreCase")
public class ExactMatchIgnoreCase extends AbstractComparator {
public class ExactMatchIgnoreCase extends AbstractStringComparator {
public ExactMatchIgnoreCase(Map<String, String> params) {
super(params);
}
@Override
public double compare(Field a, Field b, final Config conf) {
public double compare(String a, String b, final Config conf) {
final String fa = getValue(a);
final String fb = getValue(b);
if (fa.isEmpty() || fb.isEmpty())
if (a.isEmpty() || b.isEmpty())
return -1;
return fa.equalsIgnoreCase(fb) ? 1 : 0;
return a.equalsIgnoreCase(b) ? 1 : 0;
}
protected String getValue(final Field f) {
return getFirstValue(f);
protected String toString(final Object object) {
return toFirstString(object);
}
}

17
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/InstanceTypeMatch.java
View File

@ -10,13 +10,11 @@ import java.util.stream.Collectors;
import com.google.common.collect.Sets;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractListComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("instanceTypeMatch")
public class InstanceTypeMatch extends AbstractComparator {
public class InstanceTypeMatch extends AbstractListComparator {
final Map<String, String> translationMap = new HashMap<>();
@ -42,21 +40,18 @@ public class InstanceTypeMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
public double compare(final List<String> a, final List<String> b, final Config conf) {
if (a == null || b == null) {
return -1;
}
final List<String> sa = ((FieldList) a).stringList();
final List<String> sb = ((FieldList) b).stringList();
if (sa.isEmpty() || sb.isEmpty()) {
if (a.isEmpty() || b.isEmpty()) {
return -1;
}
final Set<String> ca = sa.stream().map(this::translate).collect(Collectors.toSet());
final Set<String> cb = sb.stream().map(this::translate).collect(Collectors.toSet());
final Set<String> ca = a.stream().map(this::translate).collect(Collectors.toSet());
final Set<String> cb = b.stream().map(this::translate).collect(Collectors.toSet());
// if at least one is a jolly type, it must produce a match
if (ca.contains("*") || cb.contains("*"))

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/JaroWinkler.java
View File

@ -6,12 +6,12 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
//case class JaroWinkler(w: Double) extends SecondStringDistanceAlgo(w, new com.wcohen.ss.JaroWinkler())
@ComparatorClass("jaroWinkler")
public class JaroWinkler extends AbstractComparator {
public class JaroWinkler extends AbstractStringComparator {
public JaroWinkler(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/JaroWinklerNormalizedName.java
View File

@ -7,11 +7,11 @@ import java.util.Set;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("jaroWinklerNormalizedName")
public class JaroWinklerNormalizedName extends AbstractComparator {
public class JaroWinklerNormalizedName extends AbstractStringComparator {
private Map<String, String> params;

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/JaroWinklerTitle.java
View File

@ -6,12 +6,12 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
//case class JaroWinkler(w: Double) extends SecondStringDistanceAlgo(w, new com.wcohen.ss.JaroWinkler())
@ComparatorClass("jaroWinklerTitle")
public class JaroWinklerTitle extends AbstractComparator {
public class JaroWinklerTitle extends AbstractStringComparator {
public JaroWinklerTitle(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());

25
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/JsonListMatch.java
View File

@ -10,16 +10,18 @@ import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import com.google.common.collect.Sets;
import com.jayway.jsonpath.Configuration;
import com.jayway.jsonpath.DocumentContext;
import com.jayway.jsonpath.JsonPath;
import com.jayway.jsonpath.Option;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractListComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
import eu.dnetlib.pace.util.MapDocumentUtil;
@ComparatorClass("jsonListMatch")
public class JsonListMatch extends AbstractComparator {
public class JsonListMatch extends AbstractListComparator {
private static final Log log = LogFactory.getLog(JsonListMatch.class);
private Map<String, String> params;
@ -34,11 +36,7 @@ public class JsonListMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
final List<String> sa = ((FieldList) a).stringList();
final List<String> sb = ((FieldList) b).stringList();
public double compare(final List<String> sa, final List<String> sb, final Config conf) {
if (sa.isEmpty() || sb.isEmpty()) {
return -1;
}
@ -65,14 +63,17 @@ public class JsonListMatch extends AbstractComparator {
StringBuilder st = new StringBuilder(); // to build the string used for comparisons basing on the jpath into
// parameters
final DocumentContext documentContext = JsonPath
.using(Configuration.defaultConfiguration().addOptions(Option.SUPPRESS_EXCEPTIONS))
.parse(json);
// for each path in the param list
for (String key : params.keySet().stream().filter(k -> k.contains("jpath")).collect(Collectors.toList())) {
String path = params.get(key);
String value = MapDocumentUtil.getJPathString(path, json);
String value = MapDocumentUtil.getJPathString(path, documentContext);
if (value == null || value.isEmpty())
value = "";
st.append(value + "::");
st.append(value);
st.append("::");
}
st.setLength(st.length() - 2);

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/KeywordMatch.java
View File

@ -5,11 +5,11 @@ import java.util.Map;
import java.util.Set;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("keywordMatch")
public class KeywordMatch extends AbstractComparator {
public class KeywordMatch extends AbstractStringComparator {
Map<String, String> params;

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/Level2JaroWinkler.java
View File

@ -5,11 +5,11 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("level2JaroWinkler")
public class Level2JaroWinkler extends AbstractComparator {
public class Level2JaroWinkler extends AbstractStringComparator {
public Level2JaroWinkler(Map<String, String> params) {
super(params, new com.wcohen.ss.Level2JaroWinkler());

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/Level2JaroWinklerTitle.java
View File

@ -6,11 +6,11 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("level2JaroWinklerTitle")
public class Level2JaroWinklerTitle extends AbstractComparator {
public class Level2JaroWinklerTitle extends AbstractStringComparator {
public Level2JaroWinklerTitle(Map<String, String> params) {
super(params, new com.wcohen.ss.Level2JaroWinkler());

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/Level2Levenstein.java
View File

@ -5,11 +5,11 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("level2Levenstein")
public class Level2Levenstein extends AbstractComparator {
public class Level2Levenstein extends AbstractStringComparator {
public Level2Levenstein(Map<String, String> params) {
super(params, new com.wcohen.ss.Level2Levenstein());

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/Levenstein.java
View File

@ -5,11 +5,11 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("levenstein")
public class Levenstein extends AbstractComparator {
public class Levenstein extends AbstractStringComparator {
public Levenstein(Map<String, String> params) {
super(params, new com.wcohen.ss.Levenstein());

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/LevensteinTitle.java
View File

@ -9,11 +9,11 @@ import org.apache.commons.logging.LogFactory;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("levensteinTitle")
public class LevensteinTitle extends AbstractComparator {
public class LevensteinTitle extends AbstractStringComparator {
private static final Log log = LogFactory.getLog(LevensteinTitle.class);

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/LevensteinTitleIgnoreVersion.java
View File

@ -6,14 +6,14 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
* Compared compare between two titles, ignoring version numbers. Suitable for Software entities.
*/
@ComparatorClass("levensteinTitleIgnoreVersion")
public class LevensteinTitleIgnoreVersion extends AbstractComparator {
public class LevensteinTitleIgnoreVersion extends AbstractStringComparator {
public LevensteinTitleIgnoreVersion(Map<String, String> params) {
super(params, new com.wcohen.ss.Levenstein());

15
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/ListContainsMatch.java
View File

@ -3,15 +3,10 @@ package eu.dnetlib.pace.tree;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;
import com.google.common.collect.Sets;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractListComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
@ -20,7 +15,7 @@ import eu.dnetlib.pace.tree.support.ComparatorClass;
* @author miconis
* */
@ComparatorClass("listContainsMatch")
public class ListContainsMatch extends AbstractComparator {
public class ListContainsMatch extends AbstractListComparator {
private Map<String, String> params;
private boolean CASE_SENSITIVE;
@ -38,11 +33,7 @@ public class ListContainsMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
List<String> sa = ((FieldList) a).stringList();
List<String> sb = ((FieldList) b).stringList();
public double compare(List<String> sa, List<String> sb, Config conf) {
if (sa.isEmpty() || sb.isEmpty()) {
return -1;
}

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/MustBeDifferent.java
View File

@ -6,11 +6,11 @@ import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("mustBeDifferent")
public class MustBeDifferent extends AbstractComparator {
public class MustBeDifferent extends AbstractStringComparator {
public MustBeDifferent(Map<String, String> params) {
super(params, new com.wcohen.ss.Levenstein());

5
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/NullDistanceAlgo.java
View File

@ -4,7 +4,6 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.Comparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ -13,13 +12,13 @@ import eu.dnetlib.pace.tree.support.ComparatorClass;
* NullDistanceAlgo.
*/
@ComparatorClass("null")
public class NullDistanceAlgo implements Comparator {
public class NullDistanceAlgo<T> implements Comparator<T> {
public NullDistanceAlgo(Map<String, String> params) {
}
@Override
public double compare(Field a, Field b, Config config) {
public double compare(Object a, Object b, Config config) {
return 0;
}
}

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/NumbersComparator.java
View File

@ -4,11 +4,11 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("numbersComparator")
public class NumbersComparator extends AbstractComparator {
public class NumbersComparator extends AbstractStringComparator {
Map<String, String> params;

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/NumbersMatch.java
View File

@ -4,11 +4,11 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("numbersMatch")
public class NumbersMatch extends AbstractComparator {
public class NumbersMatch extends AbstractStringComparator {
public NumbersMatch(Map<String, String> params) {
super(params);

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/RomansMatch.java
View File

@ -4,11 +4,11 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("romansMatch")
public class RomansMatch extends AbstractComparator {
public class RomansMatch extends AbstractStringComparator {
public RomansMatch(Map<String, String> params) {
super(params);

24
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/SizeMatch.java
View File

@ -4,11 +4,8 @@ package eu.dnetlib.pace.tree;
import java.util.List;
import java.util.Map;
import com.google.common.collect.Iterables;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractListComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
@ -17,7 +14,7 @@ import eu.dnetlib.pace.tree.support.ComparatorClass;
* @author claudio
*/
@ComparatorClass("sizeMatch")
public class SizeMatch extends AbstractComparator {
public class SizeMatch extends AbstractListComparator {
/**
* Instantiates a new size match.
@ -30,23 +27,12 @@ public class SizeMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
public double compare(final List<String> a, final List<String> b, final Config conf) {
if (a.isEmpty() || b.isEmpty())
return -1;
return -1.0;
return Iterables.size(a) == Iterables.size(b) ? 1 : 0;
}
/**
* Checks if is empty.
*
* @param a
* the a
* @return true, if is empty
*/
protected boolean isEmpty(final Iterable<?> a) {
return (a == null) || Iterables.isEmpty(a);
return a.size() == b.size() ? 1.0 : 0.0;
}
}

4
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/StringContainsMatch.java
View File

@ -4,7 +4,7 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
@ -13,7 +13,7 @@ import eu.dnetlib.pace.tree.support.ComparatorClass;
* @author miconis
* */
@ComparatorClass("stringContainsMatch")
public class StringContainsMatch extends AbstractComparator {
public class StringContainsMatch extends AbstractStringComparator {
private Map<String, String> params;

13
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/StringListMatch.java
View File

@ -2,6 +2,7 @@
package eu.dnetlib.pace.tree;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;
@ -11,13 +12,11 @@ import org.apache.commons.logging.LogFactory;
import com.google.common.collect.Sets;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractListComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("stringListMatch")
public class StringListMatch extends AbstractComparator {
public class StringListMatch extends AbstractListComparator {
private static final Log log = LogFactory.getLog(StringListMatch.class);
private Map<String, String> params;
@ -32,10 +31,10 @@ public class StringListMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
public double compare(final List<String> a, final List<String> b, final Config conf) {
final Set<String> pa = new HashSet<>(((FieldList) a).stringList());
final Set<String> pb = new HashSet<>(((FieldList) b).stringList());
final Set<String> pa = new HashSet<>(a);
final Set<String> pb = new HashSet<>(b);
if (pa.isEmpty() || pb.isEmpty()) {
return -1; // return undefined if one of the two lists is empty

35
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/SubStringLevenstein.java
View File

@ -8,25 +8,24 @@ import org.apache.commons.lang3.StringUtils;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.config.Type;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
* The Class SubStringLevenstein.
*/
@ComparatorClass("subStringLevenstein")
public class SubStringLevenstein extends AbstractComparator {
public class SubStringLevenstein extends AbstractStringComparator {
/** The limit. */
/**
* The limit.
*/
protected int limit;
/**
* Instantiates a new sub string levenstein.
*
* @param w
* the w
* @param w the w
*/
public SubStringLevenstein(final double w) {
super(w, new com.wcohen.ss.Levenstein());
@ -40,10 +39,8 @@ public class SubStringLevenstein extends AbstractComparator {
/**
* Instantiates a new sub string levenstein.
*
* @param w
* the w
* @param limit
* the limit
* @param w the w
* @param limit the limit
*/
public SubStringLevenstein(final double w, final int limit) {
super(w, new com.wcohen.ss.Levenstein());
@ -53,12 +50,9 @@ public class SubStringLevenstein extends AbstractComparator {
/**
* Instantiates a new sub string levenstein.
*
* @param w
* the w
* @param limit
* the limit
* @param ssalgo
* the ssalgo
* @param w the w
* @param limit the limit
* @param ssalgo the ssalgo
*/
protected SubStringLevenstein(final double w, final int limit, final AbstractStringDistance ssalgo) {
super(w, ssalgo);
@ -71,11 +65,8 @@ public class SubStringLevenstein extends AbstractComparator {
* eu.dnetlib.pace.model.Field)
*/
@Override
public double distance(final Field a, final Field b, final Config conf) {
if (a.getType().equals(Type.String) && b.getType().equals(Type.String))
return distance(StringUtils.left(a.stringValue(), limit), StringUtils.left(b.stringValue(), limit), conf);
throw new IllegalArgumentException("invalid types\n- A: " + a.toString() + "\n- B: " + b.toString());
public double distance(final String a, final String b, final Config conf) {
return distance(StringUtils.left(a, limit), StringUtils.left(b, limit), conf);
}
/*

14
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/TitleVersionMatch.java
View File

@ -1,12 +1,10 @@
package eu.dnetlib.pace.tree;
import java.util.List;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
@ -16,17 +14,14 @@ import eu.dnetlib.pace.tree.support.ComparatorClass;
*
*/
@ComparatorClass("titleVersionMatch")
public class TitleVersionMatch extends AbstractComparator {
public class TitleVersionMatch extends AbstractStringComparator {
public TitleVersionMatch(final Map<String, String> params) {
super(params);
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
final String valueA = getFirstValue(a);
final String valueB = getFirstValue(b);
public double compare(final String valueA, final String valueB, final Config conf) {
if (valueA.isEmpty() || valueB.isEmpty())
return -1;
@ -38,4 +33,7 @@ public class TitleVersionMatch extends AbstractComparator {
return getClass().getSimpleName() + ":" + super.toString();
}
protected String toString(final Object object) {
return toFirstString(object);
}
}

10
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/UrlMatcher.java
View File

@ -8,7 +8,6 @@ import java.util.Map;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("urlMatcher")
@ -31,9 +30,9 @@ public class UrlMatcher extends Levenstein {
}
@Override
public double distance(Field a, Field b, final Config conf) {
final URL urlA = asUrl(getFirstValue(a));
final URL urlB = asUrl(getFirstValue(b));
public double distance(String a, String b, final Config conf) {
final URL urlA = asUrl(a);
final URL urlB = asUrl(b);
if (!urlA.getHost().equalsIgnoreCase(urlB.getHost())) {
return 0.0;
@ -58,4 +57,7 @@ public class UrlMatcher extends Levenstein {
}
}
protected String toString(final Object object) {
return toFirstString(object);
}
}

11
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/YearMatch.java
View File

@ -6,8 +6,7 @@ import java.util.Map;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.tree.support.AbstractComparator;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
/**
@ -16,7 +15,7 @@ import eu.dnetlib.pace.tree.support.ComparatorClass;
* @author claudio
*/
@ComparatorClass("yearMatch")
public class YearMatch extends AbstractComparator {
public class YearMatch extends AbstractStringComparator {
private int limit = 4;
@ -25,7 +24,7 @@ public class YearMatch extends AbstractComparator {
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
public double compare(final String a, final String b, final Config conf) {
final String valueA = getNumbers(getFirstValue(a));
final String valueB = getNumbers(getFirstValue(b));
@ -42,8 +41,8 @@ public class YearMatch extends AbstractComparator {
return s.length() == limit;
}
protected String getFirstValue(final Field value) {
return (value != null) && !value.isEmpty() ? StringUtils.left(value.stringValue(), limit) : "";
protected String getFirstValue(final String value) {
return (value != null) && !value.isEmpty() ? StringUtils.left(value, limit) : "";
}
@Override

80
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/AbstractComparator.java
View File

@ -4,15 +4,14 @@ package eu.dnetlib.pace.tree.support;
import java.util.List;
import java.util.Map;
import com.google.common.base.Joiner;
import com.google.common.collect.Lists;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.config.Type;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
public abstract class AbstractComparator extends AbstractPaceFunctions implements Comparator {
public abstract class AbstractComparator<T> extends AbstractPaceFunctions implements Comparator<T> {
/** The ssalgo. */
protected AbstractStringDistance ssalgo;
@ -69,8 +68,8 @@ public abstract class AbstractComparator extends AbstractPaceFunctions implement
* the b
* @return the double
*/
public double distance(final String a, final String b, final Config conf) {
protected double distance(final String a, final String b, final Config conf) {
if (a.isEmpty() || b.isEmpty()) {
return -1; // return -1 if a field is missing
}
@ -78,49 +77,50 @@ public abstract class AbstractComparator extends AbstractPaceFunctions implement
return normalize(score);
}
/**
* Distance.
*
* @param a
* the a
* @param b
* the b
* @return the double
*/
protected double distance(final List<String> a, final List<String> b, final Config conf) {
return distance(concat(a), concat(b), conf);
}
public double distance(final Field a, final Field b, final Config conf) {
if (a.getType().equals(Type.String) && b.getType().equals(Type.String))
return distance(a.stringValue(), b.stringValue(), conf);
if (a.getType().equals(Type.List) && b.getType().equals(Type.List))
return distance(toList(a), toList(b), conf);
throw new IllegalArgumentException("invalid types\n- A: " + a.toString() + "\n- B: " + b.toString());
}
@Override
public double compare(final Field a, final Field b, final Config conf) {
protected double compare(final String a, final String b, final Config conf) {
if (a.isEmpty() || b.isEmpty())
return -1;
if (a.getType().equals(Type.String) && b.getType().equals(Type.String))
return distance(a.stringValue(), b.stringValue(), conf);
if (a.getType().equals(Type.List) && b.getType().equals(Type.List))
return distance(toList(a), toList(b), conf);
throw new IllegalArgumentException("invalid types\n- A: " + a.toString() + "\n- B: " + b.toString());
return distance(a, b, conf);
}
/**
* To list.
* Convert the given argument to a List of Strings
*
* @param list
* the list
* @param object
* function argument
* @return the list
*/
protected List<String> toList(final Field list) {
return ((FieldList) list).stringList();
protected List<String> toList(final Object object) {
if (object instanceof List) {
return (List<String>) object;
}
return Lists.newArrayList(object.toString());
}
/**
* Convert the given argument to a String
*
* @param object
* function argument
* @return the list
*/
protected String toString(final Object object) {
if (object instanceof List) {
List<String> l = (List<String>) object;
return Joiner.on(" ").join(l);
}
return object.toString();
}
protected String toFirstString(final Object object) {
if (object instanceof List) {
List<String> l = (List<String>) object;
return l.isEmpty() ? "" : l.get(0);
}
return object.toString();
}
public double getWeight() {

39
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/AbstractListComparator.java Normal file
View File

@ -0,0 +1,39 @@
package eu.dnetlib.pace.tree.support;
import java.util.List;
import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
abstract public class AbstractListComparator extends AbstractComparator<List<String>> {
protected AbstractListComparator(Map<String, String> params) {
super(params);
}
protected AbstractListComparator(Map<String, String> params, AbstractStringDistance ssalgo) {
super(params, ssalgo);
}
protected AbstractListComparator(double weight, AbstractStringDistance ssalgo) {
super(weight, ssalgo);
}
protected AbstractListComparator(AbstractStringDistance ssalgo) {
super(ssalgo);
}
@Override
public double compare(Object a, Object b, Config conf) {
return compare(toList(a), toList(b), conf);
}
public double compare(final List<String> a, final List<String> b, final Config conf) {
if (a.isEmpty() || b.isEmpty())
return -1;
return distance(concat(a), concat(b), conf);
}
}

14
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/AbstractSortedComparator.java
View File

@ -8,10 +8,7 @@ import java.util.Map;
import com.google.common.collect.Lists;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
public abstract class AbstractSortedComparator extends AbstractComparator {
public abstract class AbstractSortedComparator extends AbstractListComparator {
/**
* Instantiates a new sorted second string compare algo.
@ -30,11 +27,14 @@ public abstract class AbstractSortedComparator extends AbstractComparator {
}
@Override
protected List<String> toList(final Field list) {
FieldList fl = (FieldList) list;
List<String> values = Lists.newArrayList(fl.stringList());
protected List<String> toList(final Object object) {
if (object instanceof List) {
List<String> fl = (List<String>) object;
List<String> values = Lists.newArrayList(fl);
Collections.sort(values);
return values;
}
return Lists.newArrayList(object.toString());
}
}

46
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/AbstractStringComparator.java Normal file
View File

@ -0,0 +1,46 @@
package eu.dnetlib.pace.tree.support;
import java.util.Map;
import com.wcohen.ss.AbstractStringDistance;
import eu.dnetlib.pace.config.Config;
public abstract class AbstractStringComparator extends AbstractComparator<String> {
protected AbstractStringComparator(Map<String, String> params) {
super(params);
}
protected AbstractStringComparator(Map<String, String> params, AbstractStringDistance ssalgo) {
super(params, ssalgo);
}
protected AbstractStringComparator(double weight, AbstractStringDistance ssalgo) {
super(weight, ssalgo);
}
protected AbstractStringComparator(AbstractStringDistance ssalgo) {
super(ssalgo);
}
public double distance(final String a, final String b, final Config conf) {
if (a.isEmpty() || b.isEmpty()) {
return -1; // return -1 if a field is missing
}
double score = ssalgo.score(a, b);
return normalize(score);
}
@Override
public double compare(Object a, Object b, Config conf) {
return compare(toString(a), toString(b), conf);
}
public double compare(final String a, final String b, final Config conf) {
if (a.isEmpty() || b.isEmpty())
return -1;
return distance(a, b, conf);
}
}

6
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/Comparator.java
View File

@ -2,13 +2,11 @@
package eu.dnetlib.pace.tree.support;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.Field;
public interface Comparator {
public interface Comparator<T> {
/*
* return : -1 -> can't decide (i.e. missing field) >0 -> similarity degree (depends on the algorithm)
*/
public double compare(Field a, Field b, Config conf);
public double compare(Object a, Object b, Config conf);
}

15
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/FieldStats.java
View File

@ -6,7 +6,6 @@ import java.io.Serializable;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.util.PaceException;
/**
@ -17,12 +16,12 @@ public class FieldStats implements Serializable {
private double weight; // weight for the field (to be used in the aggregation)
private double threshold; // threshold for the field (to be used in some kind of aggregations)
private double result; // the result of the comparison
private Field a;
private Field b;
private Object a;
private Object b;
private boolean countIfUndefined;
public FieldStats(double weight, double threshold, double result, boolean countIfUndefined, Field a, Field b) {
public FieldStats(double weight, double threshold, double result, boolean countIfUndefined, Object a, Object b) {
this.weight = weight;
this.threshold = threshold;
this.result = result;
@ -63,19 +62,19 @@ public class FieldStats implements Serializable {
this.countIfUndefined = countIfUndefined;
}
public Field getA() {
public Object getA() {
return a;
}
public void setA(Field a) {
public void setA(Object a) {
this.a = a;
}
public Field getB() {
public Object getB() {
return b;
}
public void setB(Field b) {
public void setB(Object b) {
this.b = b;
}

17
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/MatchType.java
View File

@ -7,10 +7,19 @@ public enum MatchType {
public static MatchType parse(String value) {
try {
return MatchType.valueOf(value);
} catch (IllegalArgumentException e) {
return MatchType.UNDEFINED; // return UNDEFINED if the enum is not parsable
if (MATCH.name().equals(value)) {
return MATCH;
} else if (NO_MATCH.name().equals(value)) {
return NO_MATCH;
} else {
return UNDEFINED;
}
// try {
// return MatchType.valueOf(value);
// }
// catch (IllegalArgumentException e) {
// return MatchType.UNDEFINED; //return UNDEFINED if the enum is not parsable
// }
}
}

46
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/TreeNodeDef.java
View File

@ -3,17 +3,17 @@ package eu.dnetlib.pace.tree.support;
import java.io.IOException;
import java.io.Serializable;
import java.io.StringWriter;
import java.util.List;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.types.ArrayType;
import org.apache.spark.sql.types.DataType;
import org.apache.spark.sql.types.StringType;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.config.PaceConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.PaceException;
public class TreeNodeDef implements Serializable {
@ -46,31 +46,27 @@ public class TreeNodeDef implements Serializable {
}
// function for the evaluation of the node
public TreeNodeStats evaluate(MapDocument doc1, MapDocument doc2, Config conf) {
public TreeNodeStats evaluate(Row doc1, Row doc2, Config conf) {
TreeNodeStats stats = new TreeNodeStats();
// for each field in the node, it computes the
for (FieldConf fieldConf : fields) {
double weight = fieldConf.getWeight();
double result;
Object value1 = getJavaValue(doc1, fieldConf.getField());
Object value2 = getJavaValue(doc2, fieldConf.getField());
// if the param specifies a cross comparison (i.e. compare elements from different fields), compute the
// result for both sides and return the maximum
if (fieldConf.getParams().keySet().stream().anyMatch(k -> k.contains(CROSS_COMPARE))) {
String crossField = fieldConf.getParams().get(CROSS_COMPARE);
double result1 = comparator(fieldConf)
.compare(doc1.getFieldMap().get(fieldConf.getField()), doc2.getFieldMap().get(crossField), conf);
double result2 = comparator(fieldConf)
.compare(doc1.getFieldMap().get(crossField), doc2.getFieldMap().get(fieldConf.getField()), conf);
if (crossField != null) {
double result1 = comparator(fieldConf).compare(value1, getJavaValue(doc2, crossField), conf);
double result2 = comparator(fieldConf).compare(getJavaValue(doc1, crossField), value2, conf);
result = Math.max(result1, result2);
} else {
result = comparator(fieldConf)
.compare(
doc1.getFieldMap().get(fieldConf.getField()), doc2.getFieldMap().get(fieldConf.getField()),
conf);
result = comparator(fieldConf).compare(value1, value2, conf);
}
stats
@ -81,13 +77,27 @@ public class TreeNodeDef implements Serializable {
Double.parseDouble(fieldConf.getParams().getOrDefault("threshold", "1.0")),
result,
fieldConf.isCountIfUndefined(),
doc1.getFieldMap().get(fieldConf.getField()),
doc2.getFieldMap().get(fieldConf.getField())));
value1,
value2));
}
return stats;
}
public Object getJavaValue(Row row, String name) {
int pos = row.fieldIndex(name);
if (pos >= 0) {
DataType dt = row.schema().fields()[pos].dataType();
if (dt instanceof StringType) {
return row.getString(pos);
} else if (dt instanceof ArrayType) {
return row.getList(pos);
}
}
return null;
}
private Comparator comparator(final FieldConf field) {
return PaceConfig.resolver.getComparator(field.getComparator(), field.getParams());

48
dhp-pace-core/src/main/java/eu/dnetlib/pace/tree/support/TreeProcessor.java
View File

@ -3,9 +3,9 @@ package eu.dnetlib.pace.tree.support;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.sql.Row;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.PaceException;
/**
@ -21,72 +21,72 @@ public class TreeProcessor {
this.config = config;
}
public boolean compare(final MapDocument a, final MapDocument b) {
// row based copies
public boolean compare(final Row a, final Row b) {
// evaluate the decision tree
return evaluateTree(a, b).getResult() == MatchType.MATCH;
}
public TreeStats evaluateTree(final MapDocument doc1, final MapDocument doc2) {
public TreeStats evaluateTree(final Row doc1, final Row doc2) {
TreeStats treeStats = new TreeStats();
String current = "start";
String nextNodeName = "start";
while (MatchType.parse(current) == MatchType.UNDEFINED) {
do {
TreeNodeDef currentNode = config.decisionTree().get(current);
TreeNodeDef currentNode = config.decisionTree().get(nextNodeName);
// throw an exception if the node doesn't exist
if (currentNode == null)
throw new PaceException("Missing tree node: " + current);
throw new PaceException("Missing tree node: " + nextNodeName);
TreeNodeStats stats = currentNode.evaluate(doc1, doc2, config);
treeStats.addNodeStats(current, stats);
treeStats.addNodeStats(nextNodeName, stats);
// if ignoreUndefined=false the miss is considered as undefined
if (!currentNode.isIgnoreUndefined() && stats.undefinedCount() > 0) {
current = currentNode.getUndefined();
nextNodeName = currentNode.getUndefined();
}
// if ignoreUndefined=true the miss is ignored and the score computed anyway
else if (stats.getFinalScore(currentNode.getAggregation()) >= currentNode.getThreshold()) {
current = currentNode.getPositive();
nextNodeName = currentNode.getPositive();
} else {
current = currentNode.getNegative();
nextNodeName = currentNode.getNegative();
}
}
} while (MatchType.parse(nextNodeName) == MatchType.UNDEFINED);
treeStats.setResult(MatchType.parse(current));
treeStats.setResult(MatchType.parse(nextNodeName));
return treeStats;
}
public double computeScore(final MapDocument doc1, final MapDocument doc2) {
String current = "start";
public double computeScore(final Row doc1, final Row doc2) {
String nextNodeName = "start";
double score = 0.0;
while (MatchType.parse(current) == MatchType.UNDEFINED) {
do {
TreeNodeDef currentNode = config.decisionTree().get(current);
TreeNodeDef currentNode = config.decisionTree().get(nextNodeName);
// throw an exception if the node doesn't exist
if (currentNode == null)
throw new PaceException("The Tree Node doesn't exist: " + current);
throw new PaceException("The Tree Node doesn't exist: " + nextNodeName);
TreeNodeStats stats = currentNode.evaluate(doc1, doc2, config);
score = stats.getFinalScore(currentNode.getAggregation());
// if ignoreUndefined=false the miss is considered as undefined
if (!currentNode.isIgnoreUndefined() && stats.undefinedCount() > 0) {
current = currentNode.getUndefined();
nextNodeName = currentNode.getUndefined();
}
// if ignoreUndefined=true the miss is ignored and the score computed anyway
else if (stats.getFinalScore(currentNode.getAggregation()) >= currentNode.getThreshold()) {
current = currentNode.getPositive();
nextNodeName = currentNode.getPositive();
} else {
current = currentNode.getNegative();
}
nextNodeName = currentNode.getNegative();
}
} while (MatchType.parse(nextNodeName) == MatchType.UNDEFINED);
return score;
}
}

159
dhp-pace-core/src/main/java/eu/dnetlib/pace/util/BlockProcessor.java
View File

@ -1,20 +1,19 @@
package eu.dnetlib.pace.util;
import java.util.*;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.types.ArrayType;
import org.apache.spark.sql.types.DataType;
import org.apache.spark.sql.types.StringType;
import com.google.common.collect.Lists;
import eu.dnetlib.pace.clustering.NGramUtils;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.config.WfConfig;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.model.MapDocumentComparator;
import eu.dnetlib.pace.tree.support.TreeProcessor;
public class BlockProcessor {
@ -25,6 +24,9 @@ public class BlockProcessor {
private DedupConfig dedupConf;
private final int identifierFieldPos;
private final int orderFieldPos;
public static void constructAccumulator(final DedupConfig dedupConf) {
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "records per hash key = 1"));
accumulators
@ -47,152 +49,80 @@ public class BlockProcessor {
.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold()));
}
public BlockProcessor(DedupConfig dedupConf) {
public BlockProcessor(DedupConfig dedupConf, int identifierFieldPos, int orderFieldPos) {
this.dedupConf = dedupConf;
this.identifierFieldPos = identifierFieldPos;
this.orderFieldPos = orderFieldPos;
}
public void processSortedBlock(final String key, final List<MapDocument> documents, final Reporter context) {
public void processSortedRows(final List<Row> documents, final Reporter context) {
if (documents.size() > 1) {
// log.info("reducing key: '" + key + "' records: " + q.size());
process(prepare(documents), context);
processRows(documents, context);
} else {
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
}
}
public void process(final String key, final Iterable<MapDocument> documents, final Reporter context) {
private void processRows(final List<Row> queue, final Reporter context) {
final Queue<MapDocument> q = prepare(documents);
for (int pivotPos = 0; pivotPos < queue.size(); pivotPos++) {
final Row pivot = queue.get(pivotPos);
if (q.size() > 1) {
// log.info("reducing key: '" + key + "' records: " + q.size());
process(simplifyQueue(q, key, context), context);
} else {
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
}
}
private Queue<MapDocument> prepare(final Iterable<MapDocument> documents) {
final Queue<MapDocument> queue = new PriorityQueue<>(100,
new MapDocumentComparator(dedupConf.getWf().getOrderField()));
final Set<String> seen = new HashSet<String>();
final int queueMaxSize = dedupConf.getWf().getQueueMaxSize();
documents.forEach(doc -> {
if (queue.size() <= queueMaxSize) {
final String id = doc.getIdentifier();
if (!seen.contains(id)) {
seen.add(id);
queue.add(doc);
}
}
});
return queue;
}
private Queue<MapDocument> simplifyQueue(final Queue<MapDocument> queue, final String ngram,
final Reporter context) {
final Queue<MapDocument> q = new LinkedList<>();
String fieldRef = "";
final List<MapDocument> tempResults = Lists.newArrayList();
while (!queue.isEmpty()) {
final MapDocument result = queue.remove();
final String orderFieldName = dedupConf.getWf().getOrderField();
final Field orderFieldValue = result.values(orderFieldName);
if (!orderFieldValue.isEmpty()) {
final String field = NGramUtils.cleanupForOrdering(orderFieldValue.stringValue());
if (field.equals(fieldRef)) {
tempResults.add(result);
} else {
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
tempResults.clear();
tempResults.add(result);
fieldRef = field;
}
} else {
context
.incrementCounter(
dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField(), 1);
}
}
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
return q;
}
private void populateSimplifiedQueue(final Queue<MapDocument> q,
final List<MapDocument> tempResults,
final Reporter context,
final String fieldRef,
final String ngram) {
WfConfig wf = dedupConf.getWf();
if (tempResults.size() < wf.getGroupMaxSize()) {
q.addAll(tempResults);
} else {
context
.incrementCounter(
wf.getEntityType(),
String.format("Skipped records for count(%s) >= %s", wf.getOrderField(), wf.getGroupMaxSize()),
tempResults.size());
// log.info("Skipped field: " + fieldRef + " - size: " + tempResults.size() + " - ngram: " + ngram);
}
}
private void process(final Queue<MapDocument> queue, final Reporter context) {
while (!queue.isEmpty()) {
final MapDocument pivot = queue.remove();
final String idPivot = pivot.getIdentifier();
WfConfig wf = dedupConf.getWf();
final Field fieldsPivot = pivot.values(wf.getOrderField());
final String fieldPivot = (fieldsPivot == null) || fieldsPivot.isEmpty() ? "" : fieldsPivot.stringValue();
final String idPivot = pivot.getString(identifierFieldPos); // identifier
final Object fieldsPivot = getJavaValue(pivot, orderFieldPos);
final String fieldPivot = (fieldsPivot == null) ? "" : fieldsPivot.toString();
final WfConfig wf = dedupConf.getWf();
if (fieldPivot != null) {
int i = 0;
for (final MapDocument curr : queue) {
final String idCurr = curr.getIdentifier();
for (int windowPos = pivotPos + 1; windowPos < queue.size(); windowPos++) {
final Row curr = queue.get(windowPos);
final String idCurr = curr.getString(identifierFieldPos); // identifier
if (mustSkip(idCurr)) {
context.incrementCounter(wf.getEntityType(), "skip list", 1);
break;
}
if (i > wf.getSlidingWindowSize()) {
if (++i > wf.getSlidingWindowSize()) {
break;
}
final Field fieldsCurr = curr.values(wf.getOrderField());
final String fieldCurr = (fieldsCurr == null) || fieldsCurr.isEmpty() ? null
: fieldsCurr.stringValue();
final Object fieldsCurr = getJavaValue(curr, orderFieldPos);
final String fieldCurr = (fieldsCurr == null) ? null : fieldsCurr.toString();
if (!idCurr.equals(idPivot) && (fieldCurr != null)) {
final TreeProcessor treeProcessor = new TreeProcessor(dedupConf);
emitOutput(treeProcessor.compare(pivot, curr), idPivot, idCurr, context);
}
}
}
}
}
public Object getJavaValue(Row row, int pos) {
DataType dt = row.schema().fields()[pos].dataType();
if (dt instanceof StringType) {
return row.getString(pos);
} else if (dt instanceof ArrayType) {
return row.getList(pos);
}
}
}
}
return null;
}
private void emitOutput(final boolean result, final String idPivot, final String idCurr, final Reporter context) {
if (result) {
if (idPivot.compareTo(idCurr) <= 0) {
writeSimilarity(context, idPivot, idCurr);
} else {
writeSimilarity(context, idCurr, idPivot);
}
context.incrementCounter(dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)", 1);
} else {
context.incrementCounter(dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold(), 1);
@ -211,7 +141,6 @@ public class BlockProcessor {
final String type = dedupConf.getWf().getEntityType();
context.emit(type, from, to);
context.emit(type, to, from);
}
}

276
dhp-pace-core/src/main/java/eu/dnetlib/pace/util/BlockProcessorForTesting.java
View File

@ -1,276 +0,0 @@
package eu.dnetlib.pace.util;
import java.util.*;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import com.google.common.collect.Lists;
import eu.dnetlib.pace.clustering.NGramUtils;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.config.WfConfig;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.model.MapDocumentComparator;
import eu.dnetlib.pace.tree.*;
import eu.dnetlib.pace.tree.support.TreeProcessor;
public class BlockProcessorForTesting {
public static final List<String> accumulators = new ArrayList<>();
private static final Log log = LogFactory.getLog(eu.dnetlib.pace.util.BlockProcessorForTesting.class);
private DedupConfig dedupConf;
public static void constructAccumulator(final DedupConfig dedupConf) {
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "records per hash key = 1"));
accumulators
.add(
String
.format(
"%s::%s", dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField()));
accumulators
.add(
String
.format(
"%s::%s", dedupConf.getWf().getEntityType(),
String
.format(
"Skipped records for count(%s) >= %s", dedupConf.getWf().getOrderField(),
dedupConf.getWf().getGroupMaxSize())));
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "skip list"));
accumulators.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)"));
accumulators
.add(String.format("%s::%s", dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold()));
}
public BlockProcessorForTesting(DedupConfig dedupConf) {
this.dedupConf = dedupConf;
}
public void processSortedBlock(final String key, final List<MapDocument> documents, final Reporter context,
boolean useTree, boolean noMatch) {
if (documents.size() > 1) {
// log.info("reducing key: '" + key + "' records: " + q.size());
process(prepare(documents), context, useTree, noMatch);
} else {
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
}
}
public void process(final String key, final Iterable<MapDocument> documents, final Reporter context,
boolean useTree, boolean noMatch) {
final Queue<MapDocument> q = prepare(documents);
if (q.size() > 1) {
// log.info("reducing key: '" + key + "' records: " + q.size());
process(simplifyQueue(q, key, context), context, useTree, noMatch);
} else {
context.incrementCounter(dedupConf.getWf().getEntityType(), "records per hash key = 1", 1);
}
}
private Queue<MapDocument> prepare(final Iterable<MapDocument> documents) {
final Queue<MapDocument> queue = new PriorityQueue<>(100,
new MapDocumentComparator(dedupConf.getWf().getOrderField()));
final Set<String> seen = new HashSet<String>();
final int queueMaxSize = dedupConf.getWf().getQueueMaxSize();
documents.forEach(doc -> {
if (queue.size() <= queueMaxSize) {
final String id = doc.getIdentifier();
if (!seen.contains(id)) {
seen.add(id);
queue.add(doc);
}
}
});
return queue;
}
private Queue<MapDocument> simplifyQueue(final Queue<MapDocument> queue, final String ngram,
final Reporter context) {
final Queue<MapDocument> q = new LinkedList<>();
String fieldRef = "";
final List<MapDocument> tempResults = Lists.newArrayList();
while (!queue.isEmpty()) {
final MapDocument result = queue.remove();
final String orderFieldName = dedupConf.getWf().getOrderField();
final Field orderFieldValue = result.values(orderFieldName);
if (!orderFieldValue.isEmpty()) {
final String field = NGramUtils.cleanupForOrdering(orderFieldValue.stringValue());
if (field.equals(fieldRef)) {
tempResults.add(result);
} else {
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
tempResults.clear();
tempResults.add(result);
fieldRef = field;
}
} else {
context
.incrementCounter(
dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField(), 1);
}
}
populateSimplifiedQueue(q, tempResults, context, fieldRef, ngram);
return q;
}
private void populateSimplifiedQueue(final Queue<MapDocument> q,
final List<MapDocument> tempResults,
final Reporter context,
final String fieldRef,
final String ngram) {
WfConfig wf = dedupConf.getWf();
if (tempResults.size() < wf.getGroupMaxSize()) {
q.addAll(tempResults);
} else {
context
.incrementCounter(
wf.getEntityType(),
String.format("Skipped records for count(%s) >= %s", wf.getOrderField(), wf.getGroupMaxSize()),
tempResults.size());
// log.info("Skipped field: " + fieldRef + " - size: " + tempResults.size() + " - ngram: " + ngram);
}
}
private void process(final Queue<MapDocument> queue, final Reporter context, boolean useTree, boolean noMatch) {
while (!queue.isEmpty()) {
final MapDocument pivot = queue.remove();
final String idPivot = pivot.getIdentifier();
WfConfig wf = dedupConf.getWf();
final Field fieldsPivot = pivot.values(wf.getOrderField());
final String fieldPivot = (fieldsPivot == null) || fieldsPivot.isEmpty() ? "" : fieldsPivot.stringValue();
if (fieldPivot != null) {
int i = 0;
for (final MapDocument curr : queue) {
final String idCurr = curr.getIdentifier();
if (mustSkip(idCurr)) {
context.incrementCounter(wf.getEntityType(), "skip list", 1);
break;
}
if (i > wf.getSlidingWindowSize()) {
break;
}
final Field fieldsCurr = curr.values(wf.getOrderField());
final String fieldCurr = (fieldsCurr == null) || fieldsCurr.isEmpty() ? null
: fieldsCurr.stringValue();
if (!idCurr.equals(idPivot) && (fieldCurr != null)) {
// draws no match relations (test purpose)
if (noMatch) {
emitOutput(!new TreeProcessor(dedupConf).compare(pivot, curr), idPivot, idCurr, context);
} else {
// use the decision tree implementation or the "normal" implementation of the similarity
// score (valid only for publications)
if (useTree)
emitOutput(new TreeProcessor(dedupConf).compare(pivot, curr), idPivot, idCurr, context);
else
emitOutput(publicationCompare(pivot, curr, dedupConf), idPivot, idCurr, context);
}
// if(new TreeProcessor(dedupConf).compare(pivot, curr) != publicationCompare(pivot, curr, dedupConf)) {
// emitOutput(true, idPivot, idCurr, context);
// }
}
}
}
}
}
protected static boolean compareInstanceType(MapDocument a, MapDocument b, DedupConfig conf) {
Map<String, String> params = new HashMap<>();
InstanceTypeMatch instanceTypeMatch = new InstanceTypeMatch(params);
double compare = instanceTypeMatch
.compare(a.getFieldMap().get("instance"), b.getFieldMap().get("instance"), conf);
return compare >= 1.0;
}
private boolean publicationCompare(MapDocument a, MapDocument b, DedupConfig config) {
// if the score gives 1, the publications are equivalent
Map<String, String> params = new HashMap<>();
params.put("jpath_value", "$.value");
params.put("jpath_classid", "$.qualifier.classid");
params.put("mode", "count");
double score = 0.0;
// levenstein title
LevensteinTitle levensteinTitle = new LevensteinTitle(params);
if (levensteinTitle.compare(a.getFieldMap().get("title"), b.getFieldMap().get("title"), config) >= 0.9) {
score += 0.2;
}
// pid
JsonListMatch jsonListMatch = new JsonListMatch(params);
if (jsonListMatch.compare(a.getFieldMap().get("pid"), b.getFieldMap().get("pid"), config) >= 1.0) {
score += 0.5;
}
// title version
TitleVersionMatch titleVersionMatch = new TitleVersionMatch(params);
double result1 = titleVersionMatch.compare(a.getFieldMap().get("title"), b.getFieldMap().get("title"), config);
if (result1 < 0 || result1 >= 1.0) {
score += 0.1;
}
// authors match
params.remove("mode");
AuthorsMatch authorsMatch = new AuthorsMatch(params);
double result2 = authorsMatch.compare(a.getFieldMap().get("authors"), b.getFieldMap().get("authors"), config);
if (result2 < 0 || result2 >= 0.6) {
score += 0.2;
}
return score >= 0.5;
}
private void emitOutput(final boolean result, final String idPivot, final String idCurr, final Reporter context) {
if (result) {
writeSimilarity(context, idPivot, idCurr);
context.incrementCounter(dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)", 1);
} else {
context.incrementCounter(dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold(), 1);
}
}
private boolean mustSkip(final String idPivot) {
return dedupConf.getWf().getSkipList().contains(getNsPrefix(idPivot));
}
private String getNsPrefix(final String id) {
return StringUtils.substringBetween(id, "|", "::");
}
private void writeSimilarity(final Reporter context, final String from, final String to) {
final String type = dedupConf.getWf().getEntityType();
context.emit(type, from, to);
}
}

17
dhp-pace-core/src/main/java/eu/dnetlib/pace/util/DiffPatchMatch.java
View File

@ -19,23 +19,6 @@ package eu.dnetlib.pace.util;
* limitations under the License.
*/
/*
* Diff Match and Patch
* Copyright 2018 The diff-match-patch Authors.
* https://github.com/google/diff-match-patch
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import java.io.UnsupportedEncodingException;
import java.net.URLDecoder;
import java.net.URLEncoder;

170
dhp-pace-core/src/main/java/eu/dnetlib/pace/util/MapDocumentUtil.java
View File

@ -2,19 +2,20 @@
package eu.dnetlib.pace.util;
import java.math.BigDecimal;
import java.util.*;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.concurrent.ConcurrentHashMap;
import java.util.function.Predicate;
import java.util.stream.Collectors;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.jayway.jsonpath.Configuration;
import com.jayway.jsonpath.DocumentContext;
import com.jayway.jsonpath.JsonPath;
import com.jayway.jsonpath.Option;
import com.jayway.jsonpath.spi.cache.Cache;
import com.jayway.jsonpath.spi.cache.CacheProvider;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.config.Type;
import eu.dnetlib.pace.model.*;
import net.minidev.json.JSONArray;
public class MapDocumentUtil {
@ -22,103 +23,20 @@ public class MapDocumentUtil {
public static final String URL_REGEX = "^(http|https|ftp)\\://.*";
public static Predicate<String> urlFilter = s -> s.trim().matches(URL_REGEX);
public static MapDocument asMapDocumentWithJPath(DedupConfig conf, final String json) {
MapDocument m = new MapDocument();
m.setIdentifier(getJPathString(conf.getWf().getIdPath(), json));
Map<String, Field> stringField = new HashMap<>();
conf.getPace().getModel().forEach(fdef -> {
switch (fdef.getType()) {
case String:
case Int:
stringField
.put(
fdef.getName(), new FieldValueImpl(fdef.getType(), fdef.getName(),
truncateValue(getJPathString(fdef.getPath(), json), fdef.getLength())));
break;
case URL:
String uv = getJPathString(fdef.getPath(), json);
if (!urlFilter.test(uv))
uv = "";
stringField.put(fdef.getName(), new FieldValueImpl(fdef.getType(), fdef.getName(), uv));
break;
case List:
case JSON:
FieldListImpl fi = new FieldListImpl(fdef.getName(), fdef.getType());
truncateList(getJPathList(fdef.getPath(), json, fdef.getType()), fdef.getSize())
.stream()
.map(item -> new FieldValueImpl(Type.String, fdef.getName(), item))
.forEach(fi::add);
stringField.put(fdef.getName(), fi);
break;
case DoubleArray:
stringField
.put(
fdef.getName(),
new FieldValueImpl(Type.DoubleArray,
fdef.getName(),
getJPathArray(fdef.getPath(), json)));
break;
case StringConcat:
String[] jpaths = fdef.getPath().split("\\|\\|\\|");
stringField
.put(
fdef.getName(),
new FieldValueImpl(Type.String,
fdef.getName(),
truncateValue(
Arrays
.stream(jpaths)
.map(jpath -> getJPathString(jpath, json))
.collect(Collectors.joining(" ")),
fdef.getLength())));
break;
static {
CacheProvider.setCache(new Cache() {
private final ConcurrentHashMap<String, JsonPath> jsonPathCache = new ConcurrentHashMap();
@Override
public JsonPath get(String key) {
return jsonPathCache.get(key);
}
@Override
public void put(String key, JsonPath value) {
jsonPathCache.put(key, value);
}
});
m.setFieldMap(stringField);
return m;
}
public static List<String> getJPathList(String path, String json, Type type) {
if (type == Type.List)
return JsonPath
.using(
Configuration
.defaultConfiguration()
.addOptions(Option.ALWAYS_RETURN_LIST, Option.SUPPRESS_EXCEPTIONS))
.parse(json)
.read(path);
Object jresult;
List<String> result = new ArrayList<>();
try {
jresult = JsonPath.read(json, path);
} catch (Throwable e) {
return result;
}
if (jresult instanceof JSONArray) {
((JSONArray) jresult).forEach(it -> {
try {
result.add(new ObjectMapper().writeValueAsString(it));
} catch (JsonProcessingException e) {
}
});
return result;
}
if (jresult instanceof LinkedHashMap) {
try {
result.add(new ObjectMapper().writeValueAsString(jresult));
} catch (JsonProcessingException e) {
}
return result;
}
if (jresult instanceof String) {
result.add((String) jresult);
}
return result;
}
public static String getJPathString(final String jsonPath, final String json) {
@ -174,4 +92,54 @@ public class MapDocumentUtil {
return list.subList(0, size);
}
public static String getJPathString(final String jsonPath, final DocumentContext json) {
try {
Object o = json.read(jsonPath);
if (o instanceof String)
return (String) o;
if (o instanceof JSONArray && ((JSONArray) o).size() > 0)
return (String) ((JSONArray) o).get(0);
return "";
} catch (Exception e) {
return "";
}
}
public static List<String> getJPathList(String path, DocumentContext json, Type type) {
// if (type == Type.List)
// return JsonPath.using(Configuration.defaultConfiguration().addOptions(Option.ALWAYS_RETURN_LIST,
// Option.SUPPRESS_EXCEPTIONS)).parse(json).read(path);
Object jresult;
List<String> result = new ArrayList<>();
try {
jresult = json.read(path);
} catch (Throwable e) {
return result;
}
if (jresult instanceof JSONArray) {
((JSONArray) jresult).forEach(it -> {
try {
result.add(new ObjectMapper().writeValueAsString(it));
} catch (JsonProcessingException e) {
}
});
return result;
}
if (jresult instanceof LinkedHashMap) {
try {
result.add(new ObjectMapper().writeValueAsString(jresult));
} catch (JsonProcessingException e) {
}
return result;
}
if (jresult instanceof String) {
result.add((String) jresult);
}
return result;
}
}

85
dhp-pace-core/src/main/java/eu/dnetlib/pace/util/SparkReporter.java Normal file
View File

@ -0,0 +1,85 @@
package eu.dnetlib.pace.util;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.spark.SparkContext;
import org.apache.spark.util.LongAccumulator;
import eu.dnetlib.pace.config.DedupConfig;
import scala.Serializable;
import scala.Tuple2;
public class SparkReporter implements Serializable, Reporter {
private final List<Tuple2<String, String>> relations = new ArrayList<>();
private final Map<String, LongAccumulator> accumulators;
public SparkReporter(Map<String, LongAccumulator> accumulators) {
this.accumulators = accumulators;
}
public void incrementCounter(
String counterGroup,
String counterName,
long delta,
Map<String, LongAccumulator> accumulators) {
final String accumulatorName = String.format("%s::%s", counterGroup, counterName);
if (accumulators.containsKey(accumulatorName)) {
accumulators.get(accumulatorName).add(delta);
}
}
@Override
public void incrementCounter(String counterGroup, String counterName, long delta) {
incrementCounter(counterGroup, counterName, delta, accumulators);
}
@Override
public void emit(String type, String from, String to) {
relations.add(new Tuple2<>(from, to));
}
public List<Tuple2<String, String>> getRelations() {
return relations;
}
public static Map<String, LongAccumulator> constructAccumulator(
final DedupConfig dedupConf, final SparkContext context) {
Map<String, LongAccumulator> accumulators = new HashMap<>();
String acc1 = String.format("%s::%s", dedupConf.getWf().getEntityType(), "records per hash key = 1");
accumulators.put(acc1, context.longAccumulator(acc1));
String acc2 = String
.format(
"%s::%s",
dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField());
accumulators.put(acc2, context.longAccumulator(acc2));
String acc3 = String
.format(
"%s::%s",
dedupConf.getWf().getEntityType(),
String
.format(
"Skipped records for count(%s) >= %s",
dedupConf.getWf().getOrderField(), dedupConf.getWf().getGroupMaxSize()));
accumulators.put(acc3, context.longAccumulator(acc3));
String acc4 = String.format("%s::%s", dedupConf.getWf().getEntityType(), "skip list");
accumulators.put(acc4, context.longAccumulator(acc4));
String acc5 = String.format("%s::%s", dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)");
accumulators.put(acc5, context.longAccumulator(acc5));
String acc6 = String
.format(
"%s::%s", dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold());
accumulators.put(acc6, context.longAccumulator(acc6));
return accumulators;
}
}

39
dhp-pace-core/src/test/java/eu/dnetlib/pace/AbstractPaceTest.java
View File

@ -3,57 +3,42 @@ package eu.dnetlib.pace;
import java.io.IOException;
import java.io.StringWriter;
import java.nio.charset.StandardCharsets;
import java.util.List;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Type;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldListImpl;
import eu.dnetlib.pace.model.FieldValueImpl;
public abstract class AbstractPaceTest extends AbstractPaceFunctions {
protected String readFromClasspath(final String filename) {
final StringWriter sw = new StringWriter();
try {
IOUtils.copy(getClass().getResourceAsStream(filename), sw, StandardCharsets.UTF_8);
IOUtils.copy(getClass().getResourceAsStream(filename), sw);
return sw.toString();
} catch (final IOException e) {
throw new RuntimeException("cannot load resource from classpath: " + filename);
}
}
protected Field title(final String s) {
return new FieldValueImpl(Type.String, "title", s);
protected String title(final String s) {
return s;
}
protected Field person(final String s) {
return new FieldValueImpl(Type.JSON, "person", s);
protected String person(final String s) {
return s;
}
protected Field url(final String s) {
return new FieldValueImpl(Type.URL, "url", s);
protected String url(final String s) {
return s;
}
protected Field array(final double[] a) {
return new FieldValueImpl(Type.DoubleArray, "array", a);
}
protected Field createFieldList(List<String> strings, String fieldName) {
List<FieldValueImpl> fieldValueStream = strings
.stream()
.map(s -> new FieldValueImpl(Type.String, fieldName, s))
.collect(Collectors.toList());
FieldListImpl a = new FieldListImpl();
a.addAll(fieldValueStream);
protected double[] array(final double[] a) {
return a;
}
protected List<String> createFieldList(List<String> strings, String fieldName) {
return strings;
}
}

68
dhp-pace-core/src/test/java/eu/dnetlib/pace/clustering/ClusteringFunctionTest.java
View File

@ -2,14 +2,12 @@
package eu.dnetlib.pace.clustering;
import java.util.Map;
import java.util.Set;
import java.util.stream.Collectors;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.collect.Sets;
import eu.dnetlib.pace.AbstractPaceTest;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
@ -37,7 +35,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s = "http://www.test.it/path/to/resource";
System.out.println(s);
System.out.println(urlClustering.apply(conf, Lists.newArrayList(url(s))));
System.out.println(urlClustering.apply(conf, Lists.newArrayList(s)));
}
@Test
@ -51,7 +49,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s = "Search for the Standard Model Higgs Boson";
System.out.println(s);
System.out.println(ngram.apply(conf, Lists.newArrayList(title(s))));
System.out.println(ngram.apply(conf, Lists.newArrayList(s)));
}
@Test
@ -63,7 +61,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s = "Search for the Standard Model Higgs Boson";
System.out.println(s);
System.out.println(np.apply(conf, Lists.newArrayList(title(s))));
System.out.println(np.apply(conf, Lists.newArrayList(s)));
}
@Test
@ -75,15 +73,15 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s1 = "University of Pisa";
System.out.println(s1);
System.out.println(np.apply(conf, Lists.newArrayList(title(s1))));
System.out.println(np.apply(conf, Lists.newArrayList(s1)));
final String s2 = "Pisa University";
System.out.println(s2);
System.out.println(np.apply(conf, Lists.newArrayList(title(s2))));
System.out.println(np.apply(conf, Lists.newArrayList(s2)));
final String s3 = "Parco Tecnologico Agroalimentare Umbria";
System.out.println(s3);
System.out.println(np.apply(conf, Lists.newArrayList(title(s3))));
System.out.println(np.apply(conf, Lists.newArrayList(s3)));
}
@ -97,7 +95,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s = "Search for the Standard Model Higgs Boson";
System.out.println(s);
System.out.println(acro.apply(conf, Lists.newArrayList(title(s))));
System.out.println(acro.apply(conf, Lists.newArrayList(s)));
}
@Test
@ -109,12 +107,12 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s = "Search for the Standard Model Higgs Boson";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
params.put("len", 3);
params.put("max", 1);
System.out.println(sp.apply(conf, Lists.newArrayList(title("Framework for general-purpose deduplication"))));
System.out.println(sp.apply(conf, Lists.newArrayList("Framework for general-purpose deduplication")));
}
@Test
@ -127,7 +125,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s = "Search for the Standard Model Higgs Boson";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
}
@Test
@ -138,31 +136,31 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
String s = "Search for the Standard Model Higgs Boson";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
s = "A Physical Education Teacher Is Like...: Examining Turkish Students Perceptions of Physical Education Teachers Through Metaphor Analysis";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
s = "Structure of a Eukaryotic Nonribosomal Peptide Synthetase Adenylation Domain That Activates a Large Hydroxamate Amino Acid in Siderophore Biosynthesis";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
s = "Performance Evaluation";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
s = "JRC Open Power Plants Database (JRC-PPDB-OPEN)";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
s = "JRC Open Power Plants Database";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
s = "niivue/niivue: 0.21.1";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
}
@ -175,7 +173,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final String s = "Search for the Standard Model Higgs Boson";
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(title(s))));
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
}
@Test
@ -184,35 +182,35 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final ClusteringFunction cf = new KeywordsClustering(params);
final String s = "Polytechnic University of Turin";
System.out.println(s);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s))));
System.out.println(cf.apply(conf, Lists.newArrayList(s)));
final String s1 = "POLITECNICO DI TORINO";
System.out.println(s1);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s1))));
System.out.println(cf.apply(conf, Lists.newArrayList(s1)));
final String s2 = "Universita farmaceutica culturale di milano bergamo";
System.out.println("s2 = " + s2);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s2))));
System.out.println(cf.apply(conf, Lists.newArrayList(s2)));
final String s3 = "universita universita milano milano";
System.out.println("s3 = " + s3);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s3))));
System.out.println(cf.apply(conf, Lists.newArrayList(s3)));
final String s4 = "Politechniki Warszawskiej (Warsaw University of Technology)";
System.out.println("s4 = " + s4);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s4))));
System.out.println(cf.apply(conf, Lists.newArrayList(s4)));
final String s5 = "İstanbul Ticarət Universiteti";
System.out.println("s5 = " + s5);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s5))));
System.out.println(cf.apply(conf, Lists.newArrayList(s5)));
final String s6 = "National and Kapodistrian University of Athens";
System.out.println("s6 = " + s6);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s6))));
System.out.println(cf.apply(conf, Lists.newArrayList(s6)));
final String s7 = "Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών";
System.out.println("s7 = " + s7);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s7))));
System.out.println(cf.apply(conf, Lists.newArrayList(s7)));
}
@ -222,11 +220,11 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final ClusteringFunction cf = new PersonClustering(params);
final String s = "Abd-Alla, Abo-el-nour N.";
System.out.println("s = " + s);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s))));
System.out.println(cf.apply(conf, Lists.newArrayList(s)));
final String s1 = "Manghi, Paolo";
System.out.println("s1 = " + s1);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s1))));
System.out.println(cf.apply(conf, Lists.newArrayList(s1)));
}
@ -236,11 +234,11 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final ClusteringFunction cf = new PersonHash(params);
final String s = "Manghi, Paolo";
System.out.println("s = " + s);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s))));
System.out.println(cf.apply(conf, Lists.newArrayList(s)));
final String s1 = "Manghi, P.";
System.out.println("s = " + s1);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s1))));
System.out.println(cf.apply(conf, Lists.newArrayList(s1)));
}
@ -250,7 +248,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
final ClusteringFunction cf = new LastNameFirstInitial(params);
final String s = "LI Yonghong";
System.out.println("s = " + s);
System.out.println(cf.apply(conf, Lists.newArrayList(title(s))));
System.out.println(cf.apply(conf, Lists.newArrayList(s)));
}
}

60
dhp-pace-core/src/test/java/eu/dnetlib/pace/comparators/ComparatorTest.java
View File

@ -3,19 +3,16 @@ package eu.dnetlib.pace.comparators;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
import java.util.*;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInstance;
import eu.dnetlib.pace.AbstractPaceTest;
import eu.dnetlib.pace.clustering.NGramUtils;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.config.Type;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldValueImpl;
import eu.dnetlib.pace.tree.*;
@TestInstance(TestInstance.Lifecycle.PER_CLASS)
@ -99,8 +96,8 @@ public class ComparatorTest extends AbstractPaceTest {
@Test
public void listContainsMatchTest() {
Field a = createFieldList(Arrays.asList("Article", "Publication", "ORP"), "instanceType");
Field b = createFieldList(Arrays.asList("Publication", "Article", "ORP"), "instanceType");
List<String> a = createFieldList(Arrays.asList("Article", "Publication", "ORP"), "instanceType");
List<String> b = createFieldList(Arrays.asList("Publication", "Article", "ORP"), "instanceType");
params.put("string", "Article");
params.put("bool", "XOR");
@ -214,31 +211,32 @@ public class ComparatorTest extends AbstractPaceTest {
final InstanceTypeMatch instanceTypeMatch = new InstanceTypeMatch(params);
Field a = createFieldList(Arrays.asList("Article", "Article", "Article"), "instanceType");
Field b = createFieldList(Arrays.asList("Article", "Article", "Article"), "instanceType");
List<String> a = createFieldList(Arrays.asList("Article", "Article", "Article"), "instanceType");
List<String> b = createFieldList(Arrays.asList("Article", "Article", "Article"), "instanceType");
double result = instanceTypeMatch.compare(a, b, conf);
assertEquals(1.0, result);
Field c = createFieldList(
List<String> c = createFieldList(
Arrays.asList("Conference object", "Conference object", "Conference object"), "instanceType");
result = instanceTypeMatch.compare(c, b, conf);
assertEquals(1.0, result);
Field d = createFieldList(Arrays.asList("Master thesis", "Master thesis", "Master thesis"), "instanceType");
Field e = createFieldList(
List<String> d = createFieldList(
Arrays.asList("Master thesis", "Master thesis", "Master thesis"), "instanceType");
List<String> e = createFieldList(
Arrays.asList("Bachelor thesis", "Bachelor thesis", "Bachelor thesis"), "instanceType");
result = instanceTypeMatch.compare(d, e, conf);
assertEquals(1.0, result);
Field g = createFieldList(Arrays.asList("Software Paper", "Software Paper"), "instanceType");
List<String> g = createFieldList(Arrays.asList("Software Paper", "Software Paper"), "instanceType");
result = instanceTypeMatch.compare(e, g, conf);
assertEquals(0.0, result);
Field h = createFieldList(Arrays.asList("Other literature type", "Article"), "instanceType");
List<String> h = createFieldList(Arrays.asList("Other literature type", "Article"), "instanceType");
result = instanceTypeMatch.compare(a, h, conf);
assertEquals(1.0, result);
@ -249,15 +247,15 @@ public class ComparatorTest extends AbstractPaceTest {
AuthorsMatch authorsMatch = new AuthorsMatch(params);
Field a = createFieldList(
List<String> a = createFieldList(
Arrays.asList("La Bruzzo, Sandro", "Atzori, Claudio", "De Bonis, Michele"), "authors");
Field b = createFieldList(Arrays.asList("Atzori, C.", "La Bruzzo, S.", "De Bonis, M."), "authors");
List<String> b = createFieldList(Arrays.asList("Atzori, C.", "La Bruzzo, S.", "De Bonis, M."), "authors");
double result = authorsMatch.compare(a, b, conf);
assertEquals(1.0, result);
Field c = createFieldList(Arrays.asList("Manghi, Paolo"), "authors");
Field d = createFieldList(Arrays.asList("Manghi, Pasquale"), "authors");
List<String> c = createFieldList(Arrays.asList("Manghi, Paolo"), "authors");
List<String> d = createFieldList(Arrays.asList("Manghi, Pasquale"), "authors");
result = authorsMatch.compare(c, d, conf);
assertEquals(0.0, result);
@ -268,12 +266,12 @@ public class ComparatorTest extends AbstractPaceTest {
assertEquals(1.0, result);
Field e = createFieldList(Arrays.asList("Manghi, Paolo", "Atzori, Claudio"), "authors");
List<String> e = createFieldList(Arrays.asList("Manghi, Paolo", "Atzori, Claudio"), "authors");
result = authorsMatch.compare(a, e, conf);
assertEquals(0.25, result);
Field f = createFieldList(new ArrayList<>(), "authors");
List<String> f = createFieldList(new ArrayList<>(), "authors");
result = authorsMatch.compare(f, f, conf);
System.out.println("result = " + result);
@ -284,12 +282,12 @@ public class ComparatorTest extends AbstractPaceTest {
JsonListMatch jsonListMatch = new JsonListMatch(params);
Field a = createFieldList(
List<String> a = createFieldList(
Arrays
.asList(
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":null,\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:actionset\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"doi\",\"classname\":\"Digital Object Identifier\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"10.1111/pbi.12655\"}"),
"authors");
Field b = createFieldList(
List<String> b = createFieldList(
Arrays
.asList(
"{\"datainfo\":{\"deletedbyinference\":false,\"inferenceprovenance\":\"\",\"inferred\":false,\"invisible\":false,\"provenanceaction\":{\"classid\":\"sysimport:crosswalk:repository\",\"classname\":\"Harvested\",\"schemeid\":\"dnet:provenanceActions\",\"schemename\":\"dnet:provenanceActions\"},\"trust\":\"0.9\"},\"qualifier\":{\"classid\":\"pmc\",\"classname\":\"PubMed Central ID\",\"schemeid\":\"dnet:pid_types\",\"schemename\":\"dnet:pid_types\"},\"value\":\"PMC5399005\"}",
@ -313,8 +311,8 @@ public class ComparatorTest extends AbstractPaceTest {
public void domainExactMatch() {
DomainExactMatch domainExactMatch = new DomainExactMatch(params);
Field a = url("http://www.flowrepository.org");
Field b = url("http://flowrepository.org/");
String a = url("http://www.flowrepository.org");
String b = url("http://flowrepository.org/");
double compare = domainExactMatch.compare(a, b, conf);
System.out.println("compare = " + compare);
@ -326,12 +324,12 @@ public class ComparatorTest extends AbstractPaceTest {
CosineSimilarity cosineSimilarity = new CosineSimilarity(params);
Field a = new FieldValueImpl(Type.DoubleArray, "array", new double[] {
double[] a = new double[] {
1, 2, 3
});
Field b = new FieldValueImpl(Type.DoubleArray, "array", new double[] {
};
double[] b = new double[] {
1, 2, 3
});
};
double compare = cosineSimilarity.compare(a, b, conf);

104
dhp-pace-core/src/test/java/eu/dnetlib/pace/config/ConfigTest.java
View File

@ -3,26 +3,14 @@ package eu.dnetlib.pace.config;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;
import static org.junit.jupiter.api.Assertions.assertTrue;
import java.util.*;
import java.util.stream.Collectors;
import java.util.HashMap;
import java.util.Map;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import eu.dnetlib.pace.AbstractPaceTest;
import eu.dnetlib.pace.clustering.BlacklistAwareClusteringCombiner;
import eu.dnetlib.pace.clustering.ClusteringClass;
import eu.dnetlib.pace.clustering.ClusteringCombiner;
import eu.dnetlib.pace.model.Field;
import eu.dnetlib.pace.model.FieldList;
import eu.dnetlib.pace.model.FieldValue;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.tree.JsonListMatch;
import eu.dnetlib.pace.tree.support.AggType;
import eu.dnetlib.pace.tree.support.FieldConf;
import eu.dnetlib.pace.tree.support.TreeNodeDef;
import eu.dnetlib.pace.tree.support.TreeNodeStats;
import eu.dnetlib.pace.util.MapDocumentUtil;
public class ConfigTest extends AbstractPaceTest {
@ -82,41 +70,6 @@ public class ConfigTest extends AbstractPaceTest {
assertEquals(0, load.getPace().translationMap().keySet().size());
}
@Test
public void asMapDocumentTest1() {
DedupConfig dedupConf = DedupConfig.load(readFromClasspath("publication.current.conf.json"));
final String json = readFromClasspath("publication.json");
final MapDocument mapDocument = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, json);
// System.out.println("mapDocument = " + mapDocument.getFieldMap());
// JsonListMatch jsonListMatch = new JsonListMatch(params);
//
// jsonListMatch.compare(mapDocument.getFieldMap().get("pid"), mapDocument.getFieldMap().get("pid"), null);
System.out.println("mapDocument = " + mapDocument.getFieldMap().get("title").stringValue());
}
@Test
public void authorAsMapDocument() {
DedupConfig dedupConf = DedupConfig.load(readFromClasspath("author.fdup.conf.json"));
final String json = readFromClasspath("author.json");
final MapDocument mapDocument = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, json);
System.out
.println(
"mapDocument = "
+ Arrays.toString(((FieldValue) mapDocument.getFieldMap().get("topics")).doubleArrayValue()));
}
@Test
public void testJPath() {
final String json = readFromClasspath("organization.json");
@ -126,53 +79,4 @@ public class ConfigTest extends AbstractPaceTest {
System.out.println("result = " + MapDocumentUtil.getJPathString(jpath, json));
}
@Test
public void clusteringCombinerTest() {
DedupConfig dedupConf = DedupConfig.load(readFromClasspath("publication.current.conf.json"));
final String json = readFromClasspath("publication.json");
final MapDocument mapDocument = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, json);
String[] combine = ClusteringCombiner.combine(mapDocument, dedupConf).toArray(new String[3]);
assertEquals("test", combine[0].split(":")[1]);
assertEquals("title", combine[1].split(":")[1]);
assertEquals("doi", combine[2].split(":")[1]);
}
@Test
public void filterAndCombineTest() {
DedupConfig dedupConf = DedupConfig.load(readFromClasspath("pub.prod.conf.json"));
final String json = readFromClasspath("publication.example.json");
final MapDocument mapDocument = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, json);
Collection<String> strings = BlacklistAwareClusteringCombiner.filterAndCombine(mapDocument, dedupConf);
for (String s : strings) {
System.out.println("s = " + s);
}
}
@Test
public void crossCompareTest() {
DedupConfig dedupConf = DedupConfig.load(readFromClasspath("organization.cross.compare.conf.json"));
TreeNodeDef treeNode = dedupConf.decisionTree().get("start");
final String json = readFromClasspath("organization.json");
final MapDocument doc = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, json);
TreeNodeStats nodeStats = treeNode.evaluate(doc, doc, dedupConf);
assertTrue(nodeStats.getFinalScore(AggType.MAX) > 0.7);
}
}

5
dhp-pace-core/src/test/java/eu/dnetlib/pace/util/UtilTest.java
View File

@ -6,9 +6,11 @@ import static org.junit.jupiter.api.Assertions.assertEquals;
import java.util.HashMap;
import java.util.Map;
import org.junit.jupiter.api.*;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import eu.dnetlib.pace.model.Person;
import jdk.nashorn.internal.ir.annotations.Ignore;
public class UtilTest {
@ -20,6 +22,7 @@ public class UtilTest {
}
@Test
@Ignore
public void paceResolverTest() {
PaceResolver paceResolver = new PaceResolver();
paceResolver.getComparator("keywordMatch", params);

4
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/EXCELParser.java
View File

@ -7,8 +7,8 @@ import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang.reflect.FieldUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.reflect.FieldUtils;
import org.apache.poi.openxml4j.exceptions.InvalidFormatException;
import org.apache.poi.openxml4j.opc.OPCPackage;
import org.apache.poi.ss.usermodel.Cell;

9
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadProjects.java
View File

@ -1,12 +1,13 @@
package eu.dnetlib.dhp.actionmanager.project.utils;
import java.io.*;
import java.io.BufferedWriter;
import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Serializable;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.List;
import java.util.zip.ZipEntry;
import java.util.zip.ZipInputStream;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
@ -66,7 +67,7 @@ public class ReadProjects implements Serializable {
FSDataInputStream inputStream = fs.open(hdfsreadpath);
ArrayList<Project> projects = OBJECT_MAPPER
List<Project> projects = OBJECT_MAPPER
.readValue(
IOUtils.toString(inputStream, "UTF-8"),
new TypeReference<List<Project>>() {

4
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/project/utils/ReadTopics.java
View File

@ -6,7 +6,6 @@ import java.io.IOException;
import java.io.OutputStreamWriter;
import java.io.Serializable;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.List;
import org.apache.commons.io.IOUtils;
@ -23,7 +22,6 @@ import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.actionmanager.project.PrepareProjects;
import eu.dnetlib.dhp.actionmanager.project.utils.model.JsonTopic;
import eu.dnetlib.dhp.actionmanager.project.utils.model.Project;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
/**
@ -68,7 +66,7 @@ public class ReadTopics implements Serializable {
FSDataInputStream inputStream = fs.open(hdfsreadpath);
ArrayList<JsonTopic> topics = OBJECT_MAPPER
List<JsonTopic> topics = OBJECT_MAPPER
.readValue(
IOUtils.toString(inputStream, "UTF-8"),
new TypeReference<List<JsonTopic>>() {

2
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/collection/plugin/oai/OaiIterator.java
View File

@ -9,7 +9,7 @@ import java.util.Iterator;
import java.util.Queue;
import java.util.concurrent.PriorityBlockingQueue;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.DocumentHelper;

2
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/CheckDuplictedIdsJob.java
View File

@ -2,7 +2,7 @@
package eu.dnetlib.dhp.broker.oa;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;

18
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/TrustUtils.java
View File

@ -3,6 +3,7 @@ package eu.dnetlib.dhp.broker.oa.util;
import java.io.IOException;
import org.apache.spark.sql.Row;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -10,9 +11,8 @@ import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.broker.objects.OaBrokerMainEntity;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.model.SparkDeduper;
import eu.dnetlib.pace.tree.support.TreeProcessor;
import eu.dnetlib.pace.util.MapDocumentUtil;
public class TrustUtils {
@ -20,13 +20,18 @@ public class TrustUtils {
private static DedupConfig dedupConfig;
private static SparkDeduper deduper;
private static final ObjectMapper mapper;
static {
final ObjectMapper mapper = new ObjectMapper();
mapper = new ObjectMapper();
try {
dedupConfig = mapper
.readValue(
DedupConfig.class.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/dedupConfig/dedupConfig.json"),
DedupConfig.class);
deduper = new SparkDeduper(dedupConfig);
} catch (final IOException e) {
log.error("Error loading dedupConfig, e");
}
@ -42,11 +47,8 @@ public class TrustUtils {
}
try {
final ObjectMapper objectMapper = new ObjectMapper();
final MapDocument doc1 = MapDocumentUtil
.asMapDocumentWithJPath(dedupConfig, objectMapper.writeValueAsString(r1));
final MapDocument doc2 = MapDocumentUtil
.asMapDocumentWithJPath(dedupConfig, objectMapper.writeValueAsString(r2));
final Row doc1 = deduper.model().rowFromJson(mapper.writeValueAsString(r1));
final Row doc2 = deduper.model().rowFromJson(mapper.writeValueAsString(r2));
final double score = new TreeProcessor(dedupConfig).computeScore(doc1, doc2);

2
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/util/aggregators/stats/StatsAggregator.java
View File

@ -1,7 +1,7 @@
package eu.dnetlib.dhp.broker.oa.util.aggregators.stats;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.expressions.Aggregator;

9
dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/samples/SimpleVariableJobTest.java
View File

@ -12,6 +12,7 @@ import java.util.stream.Collectors;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
@ -82,8 +83,8 @@ public class SimpleVariableJobTest {
final long n = spark
.createDataset(inputList, Encoders.STRING())
.filter(s -> filter(map.get(s)))
.map((MapFunction<String, String>) s -> s.toLowerCase(), Encoders.STRING())
.filter((FilterFunction<String>) s -> filter(map.get(s)))
.map((MapFunction<String, String>) String::toLowerCase, Encoders.STRING())
.count();
System.out.println(n);
@ -96,8 +97,8 @@ public class SimpleVariableJobTest {
final long n = spark
.createDataset(inputList, Encoders.STRING())
.filter(s -> filter(staticMap.get(s)))
.map((MapFunction<String, String>) s -> s.toLowerCase(), Encoders.STRING())
.filter((FilterFunction<String>) s -> filter(staticMap.get(s)))
.map((MapFunction<String, String>) String::toLowerCase, Encoders.STRING())
.count();
System.out.println(n);

4
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/AbstractSparkAction.java
View File

@ -88,9 +88,7 @@ abstract class AbstractSparkAction implements Serializable {
"for $x in /RESOURCE_PROFILE[.//RESOURCE_IDENTIFIER/@value = '%s'] return $x//DEDUPLICATION/text()",
configProfileId));
DedupConfig dedupConfig = new ObjectMapper().readValue(conf, DedupConfig.class);
dedupConfig.getPace().initModel();
dedupConfig.getPace().initTranslationMap();
DedupConfig dedupConfig = DedupConfig.load(conf);
dedupConfig.getWf().setConfigurationId(actionSetId);
return dedupConfig;

6
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/DatePicker.java
View File

@ -5,14 +5,14 @@ import static java.util.Collections.reverseOrder;
import static java.util.Map.Entry.comparingByValue;
import static java.util.stream.Collectors.toMap;
import static org.apache.commons.lang.StringUtils.endsWith;
import static org.apache.commons.lang.StringUtils.substringBefore;
import static org.apache.commons.lang3.StringUtils.endsWith;
import static org.apache.commons.lang3.StringUtils.substringBefore;
import java.time.Year;
import java.util.*;
import java.util.stream.Collectors;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import eu.dnetlib.dhp.schema.oaf.Field;

46
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/DedupUtility.java
View File

@ -2,27 +2,22 @@
package eu.dnetlib.dhp.oa.dedup;
import java.io.StringReader;
import java.util.*;
import java.util.ArrayList;
import java.util.List;
import org.apache.spark.SparkContext;
import org.apache.spark.util.LongAccumulator;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.Element;
import org.dom4j.io.SAXReader;
import org.xml.sax.SAXException;
import com.google.common.collect.Sets;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.clustering.BlacklistAwareClusteringCombiner;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
public class DedupUtility {
@ -32,43 +27,6 @@ public class DedupUtility {
private DedupUtility() {
}
public static Map<String, LongAccumulator> constructAccumulator(
final DedupConfig dedupConf, final SparkContext context) {
Map<String, LongAccumulator> accumulators = new HashMap<>();
String acc1 = String.format("%s::%s", dedupConf.getWf().getEntityType(), "records per hash key = 1");
accumulators.put(acc1, context.longAccumulator(acc1));
String acc2 = String
.format(
"%s::%s",
dedupConf.getWf().getEntityType(), "missing " + dedupConf.getWf().getOrderField());
accumulators.put(acc2, context.longAccumulator(acc2));
String acc3 = String
.format(
"%s::%s",
dedupConf.getWf().getEntityType(),
String
.format(
"Skipped records for count(%s) >= %s",
dedupConf.getWf().getOrderField(), dedupConf.getWf().getGroupMaxSize()));
accumulators.put(acc3, context.longAccumulator(acc3));
String acc4 = String.format("%s::%s", dedupConf.getWf().getEntityType(), "skip list");
accumulators.put(acc4, context.longAccumulator(acc4));
String acc5 = String.format("%s::%s", dedupConf.getWf().getEntityType(), "dedupSimilarity (x2)");
accumulators.put(acc5, context.longAccumulator(acc5));
String acc6 = String
.format(
"%s::%s", dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold());
accumulators.put(acc6, context.longAccumulator(acc6));
return accumulators;
}
static Set<String> getGroupingKeys(DedupConfig conf, MapDocument doc) {
return Sets.newHashSet(BlacklistAwareClusteringCombiner.filterAndCombine(doc, conf));
}
public static String createDedupRecordPath(
final String basePath, final String actionSetId, final String entityType) {
return String.format("%s/%s/%s_deduprecord", basePath, actionSetId, entityType);

58
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/Deduper.java
View File

@ -1,58 +0,0 @@
package eu.dnetlib.dhp.oa.dedup;
import java.util.Map;
import java.util.stream.Collectors;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.util.LongAccumulator;
import eu.dnetlib.dhp.oa.dedup.model.Block;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.BlockProcessor;
import scala.Serializable;
import scala.Tuple2;
public class Deduper implements Serializable {
public static JavaPairRDD<String, String> computeRelations(
JavaSparkContext context, JavaPairRDD<String, Block> blocks, DedupConfig config) {
Map<String, LongAccumulator> accumulators = DedupUtility.constructAccumulator(config, context.sc());
return blocks
.flatMapToPair(
it -> {
final SparkReporter reporter = new SparkReporter(accumulators);
new BlockProcessor(config)
.processSortedBlock(it._1(), it._2().getDocuments(), reporter);
return reporter.getRelations().iterator();
})
.mapToPair(it -> new Tuple2<>(it._1() + it._2(), it))
.reduceByKey((a, b) -> a)
.mapToPair(Tuple2::_2);
}
public static JavaPairRDD<String, Block> createSortedBlocks(
JavaPairRDD<String, MapDocument> mapDocs, DedupConfig config) {
final String of = config.getWf().getOrderField();
final int maxQueueSize = config.getWf().getQueueMaxSize();
return mapDocs
// the reduce is just to be sure that we haven't document with same id
.reduceByKey((a, b) -> a)
.map(Tuple2::_2)
// Clustering: from <id, doc> to List<groupkey,doc>
.flatMap(
a -> DedupUtility
.getGroupingKeys(config, a)
.stream()
.map(it -> Block.from(it, a))
.collect(Collectors.toList())
.iterator())
.mapToPair(block -> new Tuple2<>(block.getKey(), block))
.reduceByKey((b1, b2) -> Block.from(b1, b2, of, maxQueueSize))
.filter(b -> b._2().getDocuments().size() > 1);
}
}

61
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkBlockStats.java
View File

@ -2,32 +2,26 @@
package eu.dnetlib.dhp.oa.dedup;
import java.io.IOException;
import java.util.Collection;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.dom4j.DocumentException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.xml.sax.SAXException;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.dedup.model.Block;
import eu.dnetlib.dhp.oa.dedup.model.BlockStats;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
import eu.dnetlib.pace.model.SparkDeduper;
public class SparkBlockStats extends AbstractSparkAction {
@ -91,36 +85,35 @@ public class SparkBlockStats extends AbstractSparkAction {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaPairRDD<String, MapDocument> mapDocuments = sc
SparkDeduper deduper = new SparkDeduper(dedupConf);
Dataset<Row> simRels = spark
.read()
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.repartition(numPartitions)
.mapToPair(
(PairFunction<String, String, MapDocument>) s -> {
MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s);
return new Tuple2<>(d.getIdentifier(), d);
});
.transform(deduper.model().parseJsonDataset())
.transform(deduper.filterAndCleanup())
.transform(deduper.generateClustersWithCollect())
.filter(functions.size(new Column("block")).geq(1));
// create blocks for deduplication
JavaRDD<BlockStats> blockStats = Deduper
.createSortedBlocks(mapDocuments, dedupConf)
.repartition(numPartitions)
.map(b -> asBlockStats(dedupConf, b));
simRels.map((MapFunction<Row, BlockStats>) row -> {
Collection<Row> mapDocuments = row.getList(row.fieldIndex("block"));
// save the blockstats in the workingdir
spark
.createDataset(blockStats.rdd(), Encoders.bean(BlockStats.class))
/*
* List<Row> mapDocuments = documents .stream() .sorted( new
* RowDataOrderingComparator(deduper.model().orderingFieldPosition(),
* deduper.model().identityFieldPosition())) .limit(dedupConf.getWf().getQueueMaxSize())
* .collect(Collectors.toList());
*/
return new BlockStats(
row.getString(row.fieldIndex("key")),
(long) mapDocuments.size(),
computeComparisons(
(long) mapDocuments.size(), (long) dedupConf.getWf().getSlidingWindowSize()));
}, Encoders.bean(BlockStats.class))
.write()
.mode(SaveMode.Overwrite)
.save(outputPath);
}
}
private BlockStats asBlockStats(DedupConfig dedupConf, Tuple2<String, Block> b) {
return new BlockStats(
b._1(),
(long) b._2().getDocuments().size(),
computeComparisons(
(long) b._2().getDocuments().size(), (long) dedupConf.getWf().getSlidingWindowSize()));
}
}

45
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkCreateSimRels.java
View File

@ -7,13 +7,9 @@ import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.dom4j.DocumentException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -22,15 +18,12 @@ import org.xml.sax.SAXException;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.application.dedup.log.DedupLogModel;
import eu.dnetlib.dhp.application.dedup.log.DedupLogWriter;
import eu.dnetlib.dhp.oa.dedup.model.Block;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
import eu.dnetlib.pace.model.SparkDeduper;
public class SparkCreateSimRels extends AbstractSparkAction {
@ -38,6 +31,7 @@ public class SparkCreateSimRels extends AbstractSparkAction {
public SparkCreateSimRels(ArgumentApplicationParser parser, SparkSession spark) {
super(parser, spark);
spark.sparkContext().setLogLevel("WARN");
}
public static void main(String[] args) throws Exception {
@ -79,7 +73,6 @@ public class SparkCreateSimRels extends AbstractSparkAction {
// for each dedup configuration
for (DedupConfig dedupConf : getConfigurations(isLookUpService, actionSetId)) {
final long start = System.currentTimeMillis();
final String entity = dedupConf.getWf().getEntityType();
@ -91,27 +84,17 @@ public class SparkCreateSimRels extends AbstractSparkAction {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaPairRDD<String, MapDocument> mapDocuments = sc
SparkDeduper deduper = new SparkDeduper(dedupConf);
Dataset<?> simRels = spark
.read()
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.repartition(numPartitions)
.mapToPair(
(PairFunction<String, String, MapDocument>) s -> {
MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s);
return new Tuple2<>(d.getIdentifier(), d);
});
// create blocks for deduplication
JavaPairRDD<String, Block> blocks = Deduper
.createSortedBlocks(mapDocuments, dedupConf)
.repartition(numPartitions);
Dataset<Relation> simRels = spark
.createDataset(
Deduper
.computeRelations(sc, blocks, dedupConf)
.map(t -> DedupUtility.createSimRel(t._1(), t._2(), entity))
.repartition(numPartitions)
.rdd(),
.transform(deduper.model().parseJsonDataset())
.transform(deduper.dedup())
.distinct()
.map(
(MapFunction<Row, Relation>) t -> DedupUtility
.createSimRel(t.getStruct(0).getString(0), t.getStruct(0).getString(1), entity),
Encoders.bean(Relation.class));
saveParquet(simRels, outputPath, SaveMode.Overwrite);

50
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkReporter.java
View File

@ -1,50 +0,0 @@
package eu.dnetlib.dhp.oa.dedup;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import org.apache.spark.util.LongAccumulator;
import eu.dnetlib.pace.util.Reporter;
import scala.Serializable;
import scala.Tuple2;
public class SparkReporter implements Serializable, Reporter {
private final List<Tuple2<String, String>> relations = new ArrayList<>();
private final Map<String, LongAccumulator> accumulators;
public SparkReporter(Map<String, LongAccumulator> accumulators) {
this.accumulators = accumulators;
}
public void incrementCounter(
String counterGroup,
String counterName,
long delta,
Map<String, LongAccumulator> accumulators) {
final String accumulatorName = String.format("%s::%s", counterGroup, counterName);
if (accumulators.containsKey(accumulatorName)) {
accumulators.get(accumulatorName).add(delta);
}
}
@Override
public void incrementCounter(String counterGroup, String counterName, long delta) {
incrementCounter(counterGroup, counterName, delta, accumulators);
}
@Override
public void emit(String type, String from, String to) {
relations.add(new Tuple2<>(from, to));
}
public List<Tuple2<String, String>> getRelations() {
return relations;
}
}

60
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/SparkWhitelistSimRels.java
View File

@ -8,26 +8,18 @@ import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.PairFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.sql.*;
import org.dom4j.DocumentException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.xml.sax.SAXException;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
import eu.dnetlib.pace.config.DedupConfig;
import eu.dnetlib.pace.model.MapDocument;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
public class SparkWhitelistSimRels extends AbstractSparkAction {
@ -78,15 +70,14 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
// file format: source####target
Dataset<Tuple2<String, String>> whiteListRels = spark
.createDataset(
sc
Dataset<Row> whiteListRels = spark
.read()
.textFile(whiteListPath)
// check if the line is in the correct format: id1####id2
.filter(s -> s.contains(WHITELIST_SEPARATOR) && s.split(WHITELIST_SEPARATOR).length == 2)
.map(s -> new Tuple2<>(s.split(WHITELIST_SEPARATOR)[0], s.split(WHITELIST_SEPARATOR)[1]))
.rdd(),
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
.withColumn("pairs", functions.split(new Column("value"), WHITELIST_SEPARATOR))
.filter(functions.size(new Column("pairs")).equalTo(2))
.select(
functions.element_at(new Column("pairs"), 1).as("from"),
functions.element_at(new Column("pairs"), 2).as("to"));
// for each dedup configuration
for (DedupConfig dedupConf : getConfigurations(isLookUpService, actionSetId)) {
@ -97,35 +88,26 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
final String outputPath = DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity);
Dataset<Tuple2<String, String>> entities = spark
.createDataset(
sc
// DFMapDocumentUtils.registerUDFs(spark, dedupConf);
Dataset<Row> entities = spark
.read()
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.repartition(numPartitions)
.mapToPair(
(PairFunction<String, String, String>) s -> {
MapDocument d = MapDocumentUtil.asMapDocumentWithJPath(dedupConf, s);
return new Tuple2<>(d.getIdentifier(), "present");
})
.rdd(),
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
.withColumn("id", functions.get_json_object(new Column("value"), dedupConf.getWf().getIdPath()));
Dataset<Tuple2<String, String>> whiteListRels1 = whiteListRels
.joinWith(entities, whiteListRels.col("_1").equalTo(entities.col("_1")), "inner")
.map(
(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1,
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
Dataset<Row> whiteListRels1 = whiteListRels
.join(entities, entities.col("id").equalTo(whiteListRels.col("from")), "inner")
.select("from", "to");
Dataset<Tuple2<String, String>> whiteListRels2 = whiteListRels1
.joinWith(entities, whiteListRels1.col("_2").equalTo(entities.col("_1")), "inner")
.map(
(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, String>>, Tuple2<String, String>>) Tuple2::_1,
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
Dataset<Row> whiteListRels2 = whiteListRels1
.join(entities, whiteListRels1.col("to").equalTo(entities.col("id")), "inner")
.select("from", "to");
Dataset<Relation> whiteListSimRels = whiteListRels2
.map(
(MapFunction<Tuple2<String, String>, Relation>) r -> DedupUtility
.createSimRel(r._1(), r._2(), entity),
(MapFunction<Row, Relation>) r -> DedupUtility
.createSimRel(r.getString(0), r.getString(1), entity),
Encoders.bean(Relation.class));
saveParquet(whiteListSimRels, outputPath, SaveMode.Append);

2
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/graph/ConnectedComponent.java
View File

@ -6,7 +6,7 @@ import java.io.Serializable;
import java.util.Set;
import java.util.stream.Collectors;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.lang3.StringUtils;
import org.codehaus.jackson.annotate.JsonIgnore;
import com.fasterxml.jackson.databind.ObjectMapper;

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