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# Contributor Code of Conduct
Openness, transparency and our community-driven participatory approach guide us in our day-to-day interactions and decision-making. Our open source projects are no exception. Trust, respect, collaboration and transparency are core values we believe should live and breathe within our projects. Our community welcomes participants from around the world with different experiences, unique perspectives, and great ideas to share.
## Our Pledge
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
## Our Standards
Examples of behavior that contributes to creating a positive environment include:
- Using welcoming and inclusive language
- Being respectful of differing viewpoints and experiences
- Gracefully accepting constructive criticism
- Attempting collaboration before conflict
- Focusing on what is best for the community
- Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
- Violence, threats of violence, or inciting others to commit self-harm
- The use of sexualized language or imagery and unwelcome sexual attention or advances
- Trolling, intentionally spreading misinformation, insulting/derogatory comments, and personal or political attacks
- Public or private harassment
- Publishing others' private information, such as a physical or electronic address, without explicit permission
- Abuse of the reporting process to intentionally harass or exclude others
- Advocating for, or encouraging, any of the above behavior
- Other conduct which could reasonably be considered inappropriate in a professional setting
## Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.
## Scope
This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org/), [version 1.4](https://www.contributor-covenant.org/version/1/4/code-of-conduct.html).

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@ -1,10 +0,0 @@
# Contributing to D-Net Hadoop
:+1::tada: First off, thanks for taking the time to contribute! :tada::+1:
This project and everyone participating in it is governed by our [Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. Please report unacceptable behavior to [dnet-team@isti.cnr.it](mailto:dnet-team@isti.cnr.it).
The following is a set of guidelines for contributing to this project and its packages. These are mostly guidelines, not rules, which applies to this project as a while, including all its sub-modules.
Use your best judgment, and feel free to propose changes to this document in a pull request.
All contributions are welcome, all contributions will be considered to be contributed under the [project license](LICENSE.md).

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@ -2,11 +2,6 @@
Dnet-hadoop is the project that defined all the [OOZIE workflows](https://oozie.apache.org/) for the OpenAIRE Graph construction, processing, provisioning.
This project adheres to the Contributor Covenant [code of conduct](CODE_OF_CONDUCT.md).
By participating, you are expected to uphold this code. Please report unacceptable behavior to [dnet-team@isti.cnr.it](mailto:dnet-team@isti.cnr.it).
This project is licensed under the [AGPL v3 or later version](#LICENSE.md).
How to build, package and run oozie workflows
====================

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@ -1,39 +0,0 @@
package eu.dnetlib.dhp.common.api.context;
public class CategorySummary {
private String id;
private String label;
private boolean hasConcept;
public String getId() {
return id;
}
public String getLabel() {
return label;
}
public boolean isHasConcept() {
return hasConcept;
}
public CategorySummary setId(final String id) {
this.id = id;
return this;
}
public CategorySummary setLabel(final String label) {
this.label = label;
return this;
}
public CategorySummary setHasConcept(final boolean hasConcept) {
this.hasConcept = hasConcept;
return this;
}
}

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@ -1,7 +0,0 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.ArrayList;
public class CategorySummaryList extends ArrayList<CategorySummary> {
}

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@ -1,52 +0,0 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.List;
public class ConceptSummary {
private String id;
private String label;
public boolean hasSubConcept;
private List<ConceptSummary> concepts;
public String getId() {
return id;
}
public String getLabel() {
return label;
}
public List<ConceptSummary> getConcepts() {
return concepts;
}
public ConceptSummary setId(final String id) {
this.id = id;
return this;
}
public ConceptSummary setLabel(final String label) {
this.label = label;
return this;
}
public boolean isHasSubConcept() {
return hasSubConcept;
}
public ConceptSummary setHasSubConcept(final boolean hasSubConcept) {
this.hasSubConcept = hasSubConcept;
return this;
}
public ConceptSummary setConcept(final List<ConceptSummary> concepts) {
this.concepts = concepts;
return this;
}
}

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@ -1,7 +0,0 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.ArrayList;
public class ConceptSummaryList extends ArrayList<ConceptSummary> {
}

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@ -1,50 +0,0 @@
package eu.dnetlib.dhp.common.api.context;
public class ContextSummary {
private String id;
private String label;
private String type;
private String status;
public String getId() {
return id;
}
public String getLabel() {
return label;
}
public String getType() {
return type;
}
public String getStatus() {
return status;
}
public ContextSummary setId(final String id) {
this.id = id;
return this;
}
public ContextSummary setLabel(final String label) {
this.label = label;
return this;
}
public ContextSummary setType(final String type) {
this.type = type;
return this;
}
public ContextSummary setStatus(final String status) {
this.status = status;
return this;
}
}

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@ -1,7 +0,0 @@
package eu.dnetlib.dhp.common.api.context;
import java.util.ArrayList;
public class ContextSummaryList extends ArrayList<ContextSummary> {
}

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@ -8,13 +8,10 @@ import java.io.InputStream;
import java.net.*;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.math.NumberUtils;
import org.apache.commons.lang3.time.DateUtils;
import org.apache.http.HttpHeaders;
import org.joda.time.Instant;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@ -97,16 +94,14 @@ public class HttpConnector2 {
throw new CollectorException(msg);
}
log.info("Request attempt {} [{}]", retryNumber, requestUrl);
InputStream input = null;
long start = System.currentTimeMillis();
try {
if (getClientParams().getRequestDelay() > 0) {
backoffAndSleep(getClientParams().getRequestDelay());
}
log.info("Request attempt {} [{}]", retryNumber, requestUrl);
final HttpURLConnection urlConn = (HttpURLConnection) new URL(requestUrl).openConnection();
urlConn.setInstanceFollowRedirects(false);
urlConn.setReadTimeout(getClientParams().getReadTimeOut() * 1000);
@ -120,8 +115,9 @@ public class HttpConnector2 {
urlConn.addRequestProperty(headerEntry.getKey(), headerEntry.getValue());
}
}
logHeaderFields(urlConn);
if (log.isDebugEnabled()) {
logHeaderFields(urlConn);
}
int retryAfter = obtainRetryAfter(urlConn.getHeaderFields());
String rateLimit = urlConn.getHeaderField(Constants.HTTPHEADER_IETF_DRAFT_RATELIMIT_LIMIT);
@ -136,7 +132,9 @@ public class HttpConnector2 {
}
if (is2xx(urlConn.getResponseCode())) {
return getInputStream(urlConn, start);
input = urlConn.getInputStream();
responseType = urlConn.getContentType();
return input;
}
if (is3xx(urlConn.getResponseCode())) {
// REDIRECTS
@ -146,7 +144,6 @@ public class HttpConnector2 {
.put(
REPORT_PREFIX + urlConn.getResponseCode(),
String.format("Moved to: %s", newUrl));
logRequestTime(start);
urlConn.disconnect();
if (retryAfter > 0) {
backoffAndSleep(retryAfter);
@ -162,50 +159,26 @@ public class HttpConnector2 {
if (retryAfter > 0) {
log
.warn(
"waiting and repeating request after suggested retry-after {} sec for URL {}",
retryAfter, requestUrl);
"{} - waiting and repeating request after suggested retry-after {} sec.",
requestUrl, retryAfter);
backoffAndSleep(retryAfter * 1000);
} else {
log
.warn(
"waiting and repeating request after default delay of {} sec for URL {}",
getClientParams().getRetryDelay(), requestUrl);
backoffAndSleep(retryNumber * getClientParams().getRetryDelay());
"{} - waiting and repeating request after default delay of {} sec.",
requestUrl, getClientParams().getRetryDelay());
backoffAndSleep(retryNumber * getClientParams().getRetryDelay() * 1000);
}
report.put(REPORT_PREFIX + urlConn.getResponseCode(), requestUrl);
logRequestTime(start);
urlConn.disconnect();
return attemptDownload(requestUrl, retryNumber + 1, report);
case 422: // UNPROCESSABLE ENTITY
report.put(REPORT_PREFIX + urlConn.getResponseCode(), requestUrl);
log.warn("waiting and repeating request after 10 sec for URL {}", requestUrl);
backoffAndSleep(10000);
urlConn.disconnect();
logRequestTime(start);
try {
return getInputStream(urlConn, start);
} catch (IOException e) {
log
.error(
"server returned 422 and got IOException accessing the response body from URL {}",
requestUrl);
log.error("IOException:", e);
return attemptDownload(requestUrl, retryNumber + 1, report);
}
default:
log.error("gor error {} from URL: {}", urlConn.getResponseCode(), urlConn.getURL());
log.error("response message: {}", urlConn.getResponseMessage());
report
.put(
REPORT_PREFIX + urlConn.getResponseCode(),
String
.format(
"%s Error: %s", requestUrl, urlConn.getResponseMessage()));
logRequestTime(start);
urlConn.disconnect();
throw new CollectorException(urlConn.getResponseCode() + " error " + report);
}
}
@ -226,27 +199,13 @@ public class HttpConnector2 {
}
}
private InputStream getInputStream(HttpURLConnection urlConn, long start) throws IOException {
InputStream input = urlConn.getInputStream();
responseType = urlConn.getContentType();
logRequestTime(start);
return input;
}
private static void logRequestTime(long start) {
log
.info(
"request time elapsed: {}sec",
TimeUnit.MILLISECONDS.toSeconds(System.currentTimeMillis() - start));
}
private void logHeaderFields(final HttpURLConnection urlConn) throws IOException {
log.info("Response: {} - {}", urlConn.getResponseCode(), urlConn.getResponseMessage());
log.debug("StatusCode: {}", urlConn.getResponseMessage());
for (Map.Entry<String, List<String>> e : urlConn.getHeaderFields().entrySet()) {
if (e.getKey() != null) {
for (String v : e.getValue()) {
log.info(" key: {} - value: {}", e.getKey(), v);
log.debug(" key: {} - value: {}", e.getKey(), v);
}
}
}
@ -266,7 +225,7 @@ public class HttpConnector2 {
for (String key : headerMap.keySet()) {
if ((key != null) && key.equalsIgnoreCase(HttpHeaders.RETRY_AFTER) && (!headerMap.get(key).isEmpty())
&& NumberUtils.isCreatable(headerMap.get(key).get(0))) {
return Integer.parseInt(headerMap.get(key).get(0));
return Integer.parseInt(headerMap.get(key).get(0)) + 10;
}
}
return -1;

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@ -1,77 +0,0 @@
package eu.dnetlib.dhp.oozie;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.net.URL;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
import java.util.Optional;
import org.apache.commons.lang3.time.DurationFormatUtils;
import org.apache.commons.text.StringSubstitutor;
import org.apache.spark.SparkConf;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.google.common.io.Resources;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
public class RunSQLSparkJob {
private static final Logger log = LoggerFactory.getLogger(RunSQLSparkJob.class);
private final ArgumentApplicationParser parser;
public RunSQLSparkJob(ArgumentApplicationParser parser) {
this.parser = parser;
}
public static void main(String[] args) throws Exception {
Map<String, String> params = new HashMap<>();
for (int i = 0; i < args.length - 1; i++) {
if (args[i].startsWith("--")) {
params.put(args[i].substring(2), args[++i]);
}
}
/*
* String jsonConfiguration = IOUtils .toString( Objects .requireNonNull( RunSQLSparkJob.class
* .getResourceAsStream( "/eu/dnetlib/dhp/oozie/run_sql_parameters.json"))); final ArgumentApplicationParser
* parser = new ArgumentApplicationParser(jsonConfiguration); parser.parseArgument(args);
*/
Boolean isSparkSessionManaged = Optional
.ofNullable(params.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
URL url = com.google.common.io.Resources.getResource(params.get("sql"));
String raw_sql = Resources.toString(url, StandardCharsets.UTF_8);
String sql = StringSubstitutor.replace(raw_sql, params);
log.info("sql: {}", sql);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", params.get("hiveMetastoreUris"));
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
for (String statement : sql.split(";\\s*/\\*\\s*EOS\\s*\\*/\\s*")) {
log.info("executing: {}", statement);
long startTime = System.currentTimeMillis();
spark.sql(statement).show();
log
.info(
"executed in {}",
DurationFormatUtils.formatDuration(System.currentTimeMillis() - startTime, "HH:mm:ss.S"));
}
});
}
}

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@ -312,8 +312,7 @@ public class GraphCleaningFunctions extends CleaningFunctions {
}
if (value instanceof Datasource) {
final Datasource d = (Datasource) value;
return Objects.nonNull(d.getOfficialname()) && StringUtils.isNotBlank(d.getOfficialname().getValue());
// nothing to evaluate here
} else if (value instanceof Project) {
final Project p = (Project) value;
return Objects.nonNull(p.getCode()) && StringUtils.isNotBlank(p.getCode().getValue());

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@ -1,20 +0,0 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "hmu",
"paramLongName": "hiveMetastoreUris",
"paramDescription": "the hive metastore uris",
"paramRequired": true
},
{
"paramName": "sql",
"paramLongName": "sql",
"paramDescription": "sql script to execute",
"paramRequired": true
}
]

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@ -14,9 +14,9 @@ import eu.dnetlib.pace.config.Config;
public abstract class AbstractClusteringFunction extends AbstractPaceFunctions implements ClusteringFunction {
protected Map<String, Object> params;
protected Map<String, Integer> params;
public AbstractClusteringFunction(final Map<String, Object> params) {
public AbstractClusteringFunction(final Map<String, Integer> params) {
this.params = params;
}
@ -27,7 +27,7 @@ public abstract class AbstractClusteringFunction extends AbstractPaceFunctions i
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(s -> normalize(s))
.map(this::normalize)
.map(s -> filterAllStopWords(s))
.map(s -> doApply(conf, s))
.map(c -> filterBlacklisted(c, ngramBlacklist))
@ -36,24 +36,11 @@ public abstract class AbstractClusteringFunction extends AbstractPaceFunctions i
.collect(Collectors.toCollection(HashSet::new));
}
public Map<String, Object> getParams() {
public Map<String, Integer> getParams() {
return params;
}
protected Integer param(String name) {
Object val = params.get(name);
if (val == null)
return null;
if (val instanceof Number) {
return ((Number) val).intValue();
}
return Integer.parseInt(val.toString());
}
protected int paramOrDefault(String name, int i) {
Integer res = param(name);
if (res == null)
res = i;
return res;
return params.get(name);
}
}

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@ -13,7 +13,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("acronyms")
public class Acronyms extends AbstractClusteringFunction {
public Acronyms(Map<String, Object> params) {
public Acronyms(Map<String, Integer> params) {
super(params);
}

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@ -11,6 +11,6 @@ public interface ClusteringFunction {
public Collection<String> apply(Config config, List<String> fields);
public Map<String, Object> getParams();
public Map<String, Integer> getParams();
}

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@ -12,7 +12,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("immutablefieldvalue")
public class ImmutableFieldValue extends AbstractClusteringFunction {
public ImmutableFieldValue(final Map<String, Object> params) {
public ImmutableFieldValue(final Map<String, Integer> params) {
super(params);
}

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@ -1,69 +0,0 @@
package eu.dnetlib.pace.clustering;
import java.util.Collection;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
import com.jayway.jsonpath.Configuration;
import com.jayway.jsonpath.DocumentContext;
import com.jayway.jsonpath.JsonPath;
import com.jayway.jsonpath.Option;
import eu.dnetlib.pace.common.AbstractPaceFunctions;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.util.MapDocumentUtil;
@ClusteringClass("jsonlistclustering")
public class JSONListClustering extends AbstractPaceFunctions implements ClusteringFunction {
private Map<String, Object> params;
public JSONListClustering(Map<String, Object> params) {
this.params = params;
}
@Override
public Map<String, Object> getParams() {
return params;
}
@Override
public Collection<String> apply(Config conf, List<String> fields) {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(s -> doApply(conf, s))
.filter(StringUtils::isNotBlank)
.collect(Collectors.toCollection(HashSet::new));
}
private String doApply(Config conf, String json) {
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).toString();
String value = MapDocumentUtil.getJPathString(path, documentContext);
if (value == null || value.isEmpty())
value = "";
st.append(value);
st.append(" ");
}
st.setLength(st.length() - 1);
if (StringUtils.isBlank(st)) {
return "1";
}
return st.toString();
}
}

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@ -11,7 +11,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("keywordsclustering")
public class KeywordsClustering extends AbstractClusteringFunction {
public KeywordsClustering(Map<String, Object> params) {
public KeywordsClustering(Map<String, Integer> params) {
super(params);
}
@ -19,8 +19,8 @@ public class KeywordsClustering extends AbstractClusteringFunction {
protected Collection<String> doApply(final Config conf, String s) {
// takes city codes and keywords codes without duplicates
Set<String> keywords = getKeywords(s, conf.translationMap(), paramOrDefault("windowSize", 4));
Set<String> cities = getCities(s, paramOrDefault("windowSize", 4));
Set<String> keywords = getKeywords(s, conf.translationMap(), params.getOrDefault("windowSize", 4));
Set<String> cities = getCities(s, params.getOrDefault("windowSize", 4));
// list of combination to return as result
final Collection<String> combinations = new LinkedHashSet<String>();
@ -28,7 +28,7 @@ public class KeywordsClustering extends AbstractClusteringFunction {
for (String keyword : keywordsToCodes(keywords, conf.translationMap())) {
for (String city : citiesToCodes(cities)) {
combinations.add(keyword + "-" + city);
if (combinations.size() >= paramOrDefault("max", 2)) {
if (combinations.size() >= params.getOrDefault("max", 2)) {
return combinations;
}
}
@ -42,8 +42,8 @@ public class KeywordsClustering extends AbstractClusteringFunction {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(KeywordsClustering::cleanup)
.map(KeywordsClustering::normalize)
.map(this::cleanup)
.map(this::normalize)
.map(s -> filterAllStopWords(s))
.map(s -> doApply(conf, s))
.map(c -> filterBlacklisted(c, ngramBlacklist))

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@ -16,7 +16,7 @@ public class LastNameFirstInitial extends AbstractClusteringFunction {
private boolean DEFAULT_AGGRESSIVE = true;
public LastNameFirstInitial(final Map<String, Object> params) {
public LastNameFirstInitial(final Map<String, Integer> params) {
super(params);
}
@ -25,7 +25,7 @@ public class LastNameFirstInitial extends AbstractClusteringFunction {
return fields
.stream()
.filter(f -> !f.isEmpty())
.map(LastNameFirstInitial::normalize)
.map(this::normalize)
.map(s -> doApply(conf, s))
.map(c -> filterBlacklisted(c, ngramBlacklist))
.flatMap(c -> c.stream())
@ -33,7 +33,8 @@ public class LastNameFirstInitial extends AbstractClusteringFunction {
.collect(Collectors.toCollection(HashSet::new));
}
public static String normalize(final String s) {
@Override
protected String normalize(final String s) {
return fixAliases(transliterate(nfd(unicodeNormalization(s))))
// do not compact the regexes in a single expression, would cause StackOverflowError in case of large input
// strings

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@ -15,7 +15,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("lowercase")
public class LowercaseClustering extends AbstractClusteringFunction {
public LowercaseClustering(final Map<String, Object> params) {
public LowercaseClustering(final Map<String, Integer> params) {
super(params);
}

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@ -12,11 +12,11 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("ngrampairs")
public class NgramPairs extends Ngrams {
public NgramPairs(Map<String, Object> params) {
public NgramPairs(Map<String, Integer> params) {
super(params, false);
}
public NgramPairs(Map<String, Object> params, boolean sorted) {
public NgramPairs(Map<String, Integer> params, boolean sorted) {
super(params, sorted);
}

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@ -10,11 +10,11 @@ public class Ngrams extends AbstractClusteringFunction {
private final boolean sorted;
public Ngrams(Map<String, Object> params) {
public Ngrams(Map<String, Integer> params) {
this(params, false);
}
public Ngrams(Map<String, Object> params, boolean sorted) {
public Ngrams(Map<String, Integer> params, boolean sorted) {
super(params);
this.sorted = sorted;
}

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@ -1,113 +0,0 @@
package eu.dnetlib.pace.clustering;
import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.StreamSupport;
import com.google.common.base.Splitter;
import com.google.common.collect.Sets;
import eu.dnetlib.pace.config.Config;
@ClusteringClass("numAuthorsTitleSuffixPrefixChain")
public class NumAuthorsTitleSuffixPrefixChain extends AbstractClusteringFunction {
public NumAuthorsTitleSuffixPrefixChain(Map<String, Object> params) {
super(params);
}
@Override
public Collection<String> apply(Config conf, List<String> fields) {
try {
int num_authors = Math.min(Integer.parseInt(fields.get(0)), 21); // SIZE threshold is 20, +1
if (num_authors > 0) {
return super.apply(conf, fields.subList(1, fields.size()))
.stream()
.map(s -> num_authors + "-" + s)
.collect(Collectors.toList());
}
} catch (NumberFormatException e) {
// missing or null authors array
}
return Collections.emptyList();
}
@Override
protected Collection<String> doApply(Config conf, String s) {
return suffixPrefixChain(cleanup(s), param("mod"));
}
private Collection<String> suffixPrefixChain(String s, int mod) {
// create the list of words from the string (remove short words)
List<String> wordsList = Arrays
.stream(s.split(" "))
.filter(si -> si.length() > 3)
.collect(Collectors.toList());
final int words = wordsList.size();
final int letters = s.length();
// create the prefix: number of words + number of letters/mod
String prefix = words / mod + "-";
return doSuffixPrefixChain(wordsList, prefix);
}
private Collection<String> doSuffixPrefixChain(List<String> wordsList, String prefix) {
Set<String> set = Sets.newLinkedHashSet();
switch (wordsList.size()) {
case 0:
break;
case 1:
set.add(wordsList.get(0));
break;
case 2:
set
.add(
prefix +
suffix(wordsList.get(0), 3) +
prefix(wordsList.get(1), 3));
set
.add(
prefix +
prefix(wordsList.get(0), 3) +
suffix(wordsList.get(1), 3));
break;
default:
set
.add(
prefix +
suffix(wordsList.get(0), 3) +
prefix(wordsList.get(1), 3) +
suffix(wordsList.get(2), 3));
set
.add(
prefix +
prefix(wordsList.get(0), 3) +
suffix(wordsList.get(1), 3) +
prefix(wordsList.get(2), 3));
break;
}
return set;
}
private String suffix(String s, int len) {
return s.substring(s.length() - len);
}
private String prefix(String s, int len) {
return s.substring(0, len);
}
}

View File

@ -17,11 +17,11 @@ import eu.dnetlib.pace.model.Person;
@ClusteringClass("personClustering")
public class PersonClustering extends AbstractPaceFunctions implements ClusteringFunction {
private Map<String, Object> params;
private Map<String, Integer> params;
private static final int MAX_TOKENS = 5;
public PersonClustering(final Map<String, Object> params) {
public PersonClustering(final Map<String, Integer> params) {
this.params = params;
}
@ -77,7 +77,7 @@ public class PersonClustering extends AbstractPaceFunctions implements Clusterin
// }
@Override
public Map<String, Object> getParams() {
public Map<String, Integer> getParams() {
return params;
}

View File

@ -15,7 +15,7 @@ public class PersonHash extends AbstractClusteringFunction {
private boolean DEFAULT_AGGRESSIVE = false;
public PersonHash(final Map<String, Object> params) {
public PersonHash(final Map<String, Integer> params) {
super(params);
}

View File

@ -8,7 +8,7 @@ import eu.dnetlib.pace.config.Config;
public class RandomClusteringFunction extends AbstractClusteringFunction {
public RandomClusteringFunction(Map<String, Object> params) {
public RandomClusteringFunction(Map<String, Integer> params) {
super(params);
}

View File

@ -1,10 +1,7 @@
package eu.dnetlib.pace.clustering;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.*;
import com.google.common.base.Joiner;
import com.google.common.base.Splitter;
@ -15,7 +12,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("sortedngrampairs")
public class SortedNgramPairs extends NgramPairs {
public SortedNgramPairs(Map<String, Object> params) {
public SortedNgramPairs(Map<String, Integer> params) {
super(params, false);
}

View File

@ -15,7 +15,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("spacetrimmingfieldvalue")
public class SpaceTrimmingFieldValue extends AbstractClusteringFunction {
public SpaceTrimmingFieldValue(final Map<String, Object> params) {
public SpaceTrimmingFieldValue(final Map<String, Integer> params) {
super(params);
}
@ -25,7 +25,7 @@ public class SpaceTrimmingFieldValue extends AbstractClusteringFunction {
res
.add(
StringUtils.isBlank(s) ? RandomStringUtils.random(param("randomLength"))
StringUtils.isBlank(s) ? RandomStringUtils.random(getParams().get("randomLength"))
: s.toLowerCase().replaceAll("\\s+", ""));
return res;

View File

@ -12,7 +12,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("suffixprefix")
public class SuffixPrefix extends AbstractClusteringFunction {
public SuffixPrefix(Map<String, Object> params) {
public SuffixPrefix(Map<String, Integer> params) {
super(params);
}

View File

@ -15,17 +15,12 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("urlclustering")
public class UrlClustering extends AbstractPaceFunctions implements ClusteringFunction {
protected Map<String, Object> params;
protected Map<String, Integer> params;
public UrlClustering(final Map<String, Object> params) {
public UrlClustering(final Map<String, Integer> params) {
this.params = params;
}
@Override
public Map<String, Object> getParams() {
return params;
}
@Override
public Collection<String> apply(final Config conf, List<String> fields) {
try {
@ -40,6 +35,11 @@ public class UrlClustering extends AbstractPaceFunctions implements ClusteringFu
}
}
@Override
public Map<String, Integer> getParams() {
return null;
}
private URL asUrl(String value) {
try {
return new URL(value);

View File

@ -11,7 +11,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("wordsStatsSuffixPrefixChain")
public class WordsStatsSuffixPrefixChain extends AbstractClusteringFunction {
public WordsStatsSuffixPrefixChain(Map<String, Object> params) {
public WordsStatsSuffixPrefixChain(Map<String, Integer> params) {
super(params);
}

View File

@ -12,7 +12,7 @@ import eu.dnetlib.pace.config.Config;
@ClusteringClass("wordssuffixprefix")
public class WordsSuffixPrefix extends AbstractClusteringFunction {
public WordsSuffixPrefix(Map<String, Object> params) {
public WordsSuffixPrefix(Map<String, Integer> params) {
super(params);
}

View File

@ -16,6 +16,7 @@ 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;
@ -26,7 +27,7 @@ import eu.dnetlib.pace.clustering.NGramUtils;
*
* @author claudio
*/
public class AbstractPaceFunctions {
public abstract class AbstractPaceFunctions {
// city map to be used when translating the city names into codes
private static Map<String, String> cityMap = AbstractPaceFunctions
@ -61,14 +62,11 @@ public class AbstractPaceFunctions {
private static Pattern hexUnicodePattern = Pattern.compile("\\\\u(\\p{XDigit}{4})");
private static Pattern romanNumberPattern = Pattern
.compile("^M{0,4}(CM|CD|D?C{0,3})(XC|XL|L?X{0,3})(IX|IV|V?I{0,3})$");
protected static String concat(final List<String> l) {
protected String concat(final List<String> l) {
return Joiner.on(" ").skipNulls().join(l);
}
public static String cleanup(final String s) {
protected String cleanup(final String s) {
final String s1 = HTML_REGEX.matcher(s).replaceAll("");
final String s2 = unicodeNormalization(s1.toLowerCase());
final String s3 = nfd(s2);
@ -84,7 +82,7 @@ public class AbstractPaceFunctions {
return s12;
}
protected static String fixXML(final String a) {
protected String fixXML(final String a) {
return a
.replaceAll("&ndash;", " ")
@ -93,7 +91,7 @@ public class AbstractPaceFunctions {
.replaceAll("&minus;", " ");
}
protected static boolean checkNumbers(final String a, final String b) {
protected boolean checkNumbers(final String a, final String b) {
final String numbersA = getNumbers(a);
final String numbersB = getNumbers(b);
final String romansA = getRomans(a);
@ -101,7 +99,7 @@ public class AbstractPaceFunctions {
return !numbersA.equals(numbersB) || !romansA.equals(romansB);
}
protected static String getRomans(final String s) {
protected String getRomans(final String s) {
final StringBuilder sb = new StringBuilder();
for (final String t : s.split(" ")) {
sb.append(isRoman(t) ? t : "");
@ -109,12 +107,13 @@ public class AbstractPaceFunctions {
return sb.toString();
}
protected static boolean isRoman(final String s) {
Matcher m = romanNumberPattern.matcher(s);
return m.matches() && m.hitEnd();
protected boolean isRoman(final String s) {
return s
.replaceAll("^M{0,4}(CM|CD|D?C{0,3})(XC|XL|L?X{0,3})(IX|IV|V?I{0,3})$", "qwertyuiop")
.equals("qwertyuiop");
}
protected static String getNumbers(final String s) {
protected String getNumbers(final String s) {
final StringBuilder sb = new StringBuilder();
for (final String t : s.split(" ")) {
sb.append(isNumber(t) ? t : "");
@ -122,7 +121,7 @@ public class AbstractPaceFunctions {
return sb.toString();
}
public static boolean isNumber(String strNum) {
public boolean isNumber(String strNum) {
if (strNum == null) {
return false;
}
@ -148,7 +147,7 @@ public class AbstractPaceFunctions {
}
}
protected static String removeSymbols(final String s) {
protected String removeSymbols(final String s) {
final StringBuilder sb = new StringBuilder();
s.chars().forEach(ch -> {
@ -158,11 +157,11 @@ public class AbstractPaceFunctions {
return sb.toString().replaceAll("\\s+", " ");
}
protected static boolean notNull(final String s) {
protected boolean notNull(final String s) {
return s != null;
}
public static String normalize(final String s) {
protected String normalize(final String s) {
return fixAliases(transliterate(nfd(unicodeNormalization(s))))
.toLowerCase()
// do not compact the regexes in a single expression, would cause StackOverflowError in case of large input
@ -175,16 +174,16 @@ public class AbstractPaceFunctions {
.trim();
}
public static String nfd(final String s) {
public String nfd(final String s) {
return Normalizer.normalize(s, Normalizer.Form.NFD);
}
public static String utf8(final String s) {
public String utf8(final String s) {
byte[] bytes = s.getBytes(StandardCharsets.UTF_8);
return new String(bytes, StandardCharsets.UTF_8);
}
public static String unicodeNormalization(final String s) {
public String unicodeNormalization(final String s) {
Matcher m = hexUnicodePattern.matcher(s);
StringBuffer buf = new StringBuffer(s.length());
@ -196,7 +195,7 @@ public class AbstractPaceFunctions {
return buf.toString();
}
protected static String filterStopWords(final String s, final Set<String> stopwords) {
protected String filterStopWords(final String s, final Set<String> stopwords) {
final StringTokenizer st = new StringTokenizer(s);
final StringBuilder sb = new StringBuilder();
while (st.hasMoreTokens()) {
@ -209,7 +208,7 @@ public class AbstractPaceFunctions {
return sb.toString().trim();
}
public static String filterAllStopWords(String s) {
public String filterAllStopWords(String s) {
s = filterStopWords(s, stopwords_en);
s = filterStopWords(s, stopwords_de);
@ -222,8 +221,7 @@ public class AbstractPaceFunctions {
return s;
}
protected static Collection<String> filterBlacklisted(final Collection<String> set,
final Set<String> ngramBlacklist) {
protected Collection<String> filterBlacklisted(final Collection<String> set, final Set<String> ngramBlacklist) {
final Set<String> newset = Sets.newLinkedHashSet();
for (final String s : set) {
if (!ngramBlacklist.contains(s)) {
@ -270,7 +268,7 @@ public class AbstractPaceFunctions {
return m;
}
public static String removeKeywords(String s, Set<String> keywords) {
public String removeKeywords(String s, Set<String> keywords) {
s = " " + s + " ";
for (String k : keywords) {
@ -280,39 +278,39 @@ public class AbstractPaceFunctions {
return s.trim();
}
public static double commonElementsPercentage(Set<String> s1, Set<String> s2) {
public double commonElementsPercentage(Set<String> s1, Set<String> s2) {
double longer = Math.max(s1.size(), s2.size());
return (double) s1.stream().filter(s2::contains).count() / longer;
}
// convert the set of keywords to codes
public static Set<String> toCodes(Set<String> keywords, Map<String, String> translationMap) {
public Set<String> toCodes(Set<String> keywords, Map<String, String> translationMap) {
return keywords.stream().map(s -> translationMap.get(s)).collect(Collectors.toSet());
}
public static Set<String> keywordsToCodes(Set<String> keywords, Map<String, String> translationMap) {
public Set<String> keywordsToCodes(Set<String> keywords, Map<String, String> translationMap) {
return toCodes(keywords, translationMap);
}
public static Set<String> citiesToCodes(Set<String> keywords) {
public Set<String> citiesToCodes(Set<String> keywords) {
return toCodes(keywords, cityMap);
}
protected static String firstLC(final String s) {
protected String firstLC(final String s) {
return StringUtils.substring(s, 0, 1).toLowerCase();
}
protected static Iterable<String> tokens(final String s, final int maxTokens) {
protected Iterable<String> tokens(final String s, final int maxTokens) {
return Iterables.limit(Splitter.on(" ").omitEmptyStrings().trimResults().split(s), maxTokens);
}
public static String normalizePid(String pid) {
public String normalizePid(String pid) {
return DOI_PREFIX.matcher(pid.toLowerCase()).replaceAll("");
}
// get the list of keywords into the input string
public static Set<String> getKeywords(String s1, Map<String, String> translationMap, int windowSize) {
public Set<String> getKeywords(String s1, Map<String, String> translationMap, int windowSize) {
String s = s1;
@ -342,7 +340,7 @@ public class AbstractPaceFunctions {
return codes;
}
public static Set<String> getCities(String s1, int windowSize) {
public Set<String> getCities(String s1, int windowSize) {
return getKeywords(s1, cityMap, windowSize);
}

View File

@ -18,7 +18,7 @@ public class ClusteringDef implements Serializable {
private List<String> fields;
private Map<String, Object> params;
private Map<String, Integer> params;
public ClusteringDef() {
}
@ -43,11 +43,11 @@ public class ClusteringDef implements Serializable {
this.fields = fields;
}
public Map<String, Object> getParams() {
public Map<String, Integer> getParams() {
return params;
}
public void setParams(final Map<String, Object> params) {
public void setParams(final Map<String, Integer> params) {
this.params = params;
}

View File

@ -2,7 +2,6 @@
package eu.dnetlib.pace.model;
import java.io.Serializable;
import java.util.HashSet;
import java.util.List;
import com.fasterxml.jackson.core.JsonProcessingException;
@ -37,16 +36,6 @@ public class FieldDef implements Serializable {
*/
private int length = -1;
private HashSet<String> filter;
private boolean sorted;
public boolean isSorted() {
return sorted;
}
private String clean;
public FieldDef() {
}
@ -102,30 +91,6 @@ public class FieldDef implements Serializable {
this.path = path;
}
public HashSet<String> getFilter() {
return filter;
}
public void setFilter(HashSet<String> filter) {
this.filter = filter;
}
public boolean getSorted() {
return sorted;
}
public void setSorted(boolean sorted) {
this.sorted = sorted;
}
public String getClean() {
return clean;
}
public void setClean(String clean) {
this.clean = clean;
}
@Override
public String toString() {
try {

View File

@ -5,9 +5,9 @@ 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, desc, expr, lit, udf}
import org.apache.spark.sql.functions.{col, lit, udf}
import org.apache.spark.sql.types._
import org.apache.spark.sql.{Column, Dataset, Row, SaveMode, functions}
import org.apache.spark.sql.{Column, Dataset, Row, functions}
import java.util.function.Predicate
import java.util.stream.Collectors
@ -80,8 +80,6 @@ case class SparkDeduper(conf: DedupConfig) extends Serializable {
.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))))
// .withColumn("count", functions.max("position").over(Window.partitionBy("key").orderBy(col(model.orderingFieldName), col(model.identifierFieldName)).rowsBetween(Window.unboundedPreceding,Window.unboundedFollowing) ))
// .filter("count > 1")
if (df_with_clustering_keys == null)
df_with_clustering_keys = ds
@ -90,44 +88,20 @@ case class SparkDeduper(conf: DedupConfig) extends Serializable {
}
//TODO: analytics
/*df_with_clustering_keys.groupBy(col("clustering"), col("key"))
.agg(expr("max(count) AS size"))
.orderBy(desc("size"))
.show*/
val df_with_blocks = df_with_clustering_keys
// split the clustering block into smaller blocks of queuemaxsize
.groupBy(col("clustering"), col("key"), functions.floor(col("position").divide(lit(conf.getWf.getQueueMaxSize))))
// 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))
.union(
//adjacency blocks
df_with_clustering_keys
// filter out leading and trailing elements
.filter(col("position").gt(conf.getWf.getSlidingWindowSize/2))
//.filter(col("position").lt(col("count").minus(conf.getWf.getSlidingWindowSize/2)))
// create small blocks of records on "the border" of maxqueuesize: getSlidingWindowSize/2 elements before and after
.filter(
col("position").mod(conf.getWf.getQueueMaxSize).lt(conf.getWf.getSlidingWindowSize/2) // slice of the start of block
|| col("position").mod(conf.getWf.getQueueMaxSize).gt(conf.getWf.getQueueMaxSize - (conf.getWf.getSlidingWindowSize/2)) //slice of the end of the block
)
.groupBy(col("clustering"), col("key"), functions.floor((col("position") + lit(conf.getWf.getSlidingWindowSize/2)).divide(lit(conf.getWf.getQueueMaxSize))))
.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 => {
val valueList = values.flatMap {
case a: mutable.WrappedArray[Any] => a.map(_.toString)
case s: Any => Seq(s.toString)
}.asJava;
mutable.WrappedArray.make(cd.clusteringFunction().apply(conf, valueList).toArray())
values.flatMap(f => cd.clusteringFunction().apply(conf, Seq(f.toString).asJava).asScala)
})
}

View File

@ -1,16 +1,13 @@
package eu.dnetlib.pace.model
import com.jayway.jsonpath.{Configuration, JsonPath}
import eu.dnetlib.pace.common.AbstractPaceFunctions
import eu.dnetlib.pace.config.{DedupConfig, Type}
import eu.dnetlib.pace.util.MapDocumentUtil
import org.apache.commons.lang3.StringUtils
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.Locale
import java.util.regex.Pattern
import scala.collection.JavaConverters._
@ -63,7 +60,7 @@ case class SparkModel(conf: DedupConfig) {
values(identityFieldPosition) = MapDocumentUtil.getJPathString(conf.getWf.getIdPath, documentContext)
schema.fieldNames.zipWithIndex.foldLeft(values) {
case ((res, (fname, index))) =>
case ((res, (fname, index))) => {
val fdef = conf.getPace.getModelMap.get(fname)
if (fdef != null) {
@ -99,52 +96,13 @@ case class SparkModel(conf: DedupConfig) {
case Type.DoubleArray =>
MapDocumentUtil.getJPathArray(fdef.getPath, json)
}
val filter = fdef.getFilter
if (StringUtils.isNotBlank(fdef.getClean)) {
res(index) = res(index) match {
case x: Seq[String] => x.map(clean(_, fdef.getClean)).toSeq
case _ => clean(res(index).toString, fdef.getClean)
}
}
if (filter != null && !filter.isEmpty) {
res(index) = res(index) match {
case x: String if filter.contains(x.toLowerCase(Locale.ROOT)) => null
case x: Seq[String] => x.filter(s => !filter.contains(s.toLowerCase(Locale.ROOT))).toSeq
case _ => res(index)
}
}
if (fdef.getSorted) {
res(index) = res(index) match {
case x: Seq[String] => x.sorted.toSeq
case _ => res(index)
}
}
}
res
}
}
new GenericRowWithSchema(values, schema)
}
def clean(value: String, cleantype: String) : String = {
val res = cleantype match {
case "title" => AbstractPaceFunctions.cleanup(value)
case _ => value
}
// if (!res.equals(AbstractPaceFunctions.normalize(value))) {
// println(res)
// println(AbstractPaceFunctions.normalize(value))
// println()
// }
res
}
}

View File

@ -23,6 +23,7 @@ public class AuthorsMatch extends AbstractListComparator {
private String MODE; // full or surname
private int SIZE_THRESHOLD;
private String TYPE; // count or percentage
private int common;
public AuthorsMatch(Map<String, String> params) {
super(params, new com.wcohen.ss.JaroWinkler());
@ -34,6 +35,7 @@ public class AuthorsMatch extends AbstractListComparator {
FULLNAME_THRESHOLD = Double.parseDouble(params.getOrDefault("fullname_th", "0.9"));
SIZE_THRESHOLD = Integer.parseInt(params.getOrDefault("size_th", "20"));
TYPE = params.getOrDefault("type", "percentage");
common = 0;
}
protected AuthorsMatch(double w, AbstractStringDistance ssalgo) {
@ -42,27 +44,22 @@ public class AuthorsMatch extends AbstractListComparator {
@Override
public double compare(final List<String> a, final List<String> b, final Config conf) {
if (a.isEmpty() || b.isEmpty())
return -1;
if (a.size() > SIZE_THRESHOLD || b.size() > SIZE_THRESHOLD)
return 1.0;
int maxMiss = Integer.MAX_VALUE;
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());
Double threshold = getDoubleParam("threshold");
if (threshold != null && threshold >= 0.0 && threshold <= 1.0 && a.size() == b.size()) {
maxMiss = (int) Math.floor((1 - threshold) * Math.max(a.size(), b.size()));
}
int common = 0;
common = 0;
// compare each element of List1 with each element of List2
for (int i = 0; i < a.size(); i++) {
Person p1 = new Person(a.get(i), false);
for (Person p1 : aList)
for (Person p2 : bList) {
// both persons are inaccurate
if (!p1.isAccurate() && !p2.isAccurate()) {
// compare just normalized fullnames
@ -121,15 +118,11 @@ public class AuthorsMatch extends AbstractListComparator {
}
}
}
if (i - common > maxMiss) {
return 0.0;
}
}
// normalization factor to compute the score
int normFactor = a.size() == b.size() ? a.size() : (a.size() + b.size() - common);
int normFactor = aList.size() == bList.size() ? aList.size() : (aList.size() + bList.size() - common);
if (TYPE.equals("percentage")) {
return (double) common / normFactor;

View File

@ -25,7 +25,6 @@ public class InstanceTypeMatch extends AbstractListComparator {
translationMap.put("Conference object", "*");
translationMap.put("Other literature type", "*");
translationMap.put("Unknown", "*");
translationMap.put("UNKNOWN", "*");
// article types
translationMap.put("Article", "Article");
@ -77,4 +76,5 @@ public class InstanceTypeMatch extends AbstractListComparator {
protected double normalize(final double d) {
return d;
}
}

View File

@ -3,7 +3,6 @@ package eu.dnetlib.pace.tree;
import java.util.Map;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
@ -31,25 +30,16 @@ public class LevensteinTitle extends AbstractStringComparator {
}
@Override
public double distance(final String ca, final String cb, final Config conf) {
public double distance(final String a, final String b, final Config conf) {
final String ca = cleanup(a);
final String cb = cleanup(b);
final boolean check = checkNumbers(ca, cb);
if (check)
return 0.5;
Double threshold = getDoubleParam("threshold");
// reduce Levenshtein algo complexity when target threshold is known
if (threshold != null && threshold >= 0.0 && threshold <= 1.0) {
int maxdistance = (int) Math.floor((1 - threshold) * Math.max(ca.length(), cb.length()));
int score = StringUtils.getLevenshteinDistance(ca, cb, maxdistance);
if (score == -1) {
return 0;
}
return normalize(score, ca.length(), cb.length());
} else {
return normalize(StringUtils.getLevenshteinDistance(ca, cb), ca.length(), cb.length());
}
return normalize(ssalgo.score(ca, cb), ca.length(), cb.length());
}
private double normalize(final double score, final int la, final int lb) {

View File

@ -1,29 +0,0 @@
package eu.dnetlib.pace.tree;
import java.util.Map;
import eu.dnetlib.pace.config.Config;
import eu.dnetlib.pace.tree.support.AbstractStringComparator;
import eu.dnetlib.pace.tree.support.ComparatorClass;
@ComparatorClass("maxLengthMatch")
public class MaxLengthMatch extends AbstractStringComparator {
private final int limit;
public MaxLengthMatch(Map<String, String> params) {
super(params);
limit = Integer.parseInt(params.getOrDefault("limit", "200"));
}
@Override
public double compare(String a, String b, final Config conf) {
return a.length() < limit && b.length() < limit ? 1.0 : -1.0;
}
protected String toString(final Object object) {
return toFirstString(object);
}
}

View File

@ -127,14 +127,4 @@ public abstract class AbstractComparator<T> extends AbstractPaceFunctions implem
return this.weight;
}
public Double getDoubleParam(String name) {
String svalue = params.get(name);
try {
return Double.parseDouble(svalue);
} catch (Throwable t) {
}
return null;
}
}

View File

@ -67,10 +67,8 @@ public class BlockProcessor {
private void processRows(final List<Row> queue, final Reporter context) {
IncrementalConnectedComponents icc = new IncrementalConnectedComponents(queue.size());
for (int i = 0; i < queue.size(); i++) {
final Row pivot = queue.get(i);
for (int pivotPos = 0; pivotPos < queue.size(); pivotPos++) {
final Row pivot = queue.get(pivotPos);
final String idPivot = pivot.getString(identifierFieldPos); // identifier
final Object fieldsPivot = getJavaValue(pivot, orderFieldPos);
@ -78,9 +76,9 @@ public class BlockProcessor {
final WfConfig wf = dedupConf.getWf();
if (fieldPivot != null) {
for (int j = icc.nextUnconnected(i, i + 1); j >= 0
&& j < queue.size(); j = icc.nextUnconnected(i, j + 1)) {
final Row curr = queue.get(j);
int i = 0;
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)) {
@ -88,7 +86,7 @@ public class BlockProcessor {
break;
}
if (wf.getSlidingWindowSize() > 0 && (j - i) > wf.getSlidingWindowSize()) {
if (++i > wf.getSlidingWindowSize()) {
break;
}
@ -99,9 +97,7 @@ public class BlockProcessor {
final TreeProcessor treeProcessor = new TreeProcessor(dedupConf);
if (emitOutput(treeProcessor.compare(pivot, curr), idPivot, idCurr, context)) {
icc.connect(i, j);
}
emitOutput(treeProcessor.compare(pivot, curr), idPivot, idCurr, context);
}
}
}
@ -119,8 +115,7 @@ public class BlockProcessor {
return null;
}
private boolean emitOutput(final boolean result, final String idPivot, final String idCurr,
final Reporter context) {
private void emitOutput(final boolean result, final String idPivot, final String idCurr, final Reporter context) {
if (result) {
if (idPivot.compareTo(idCurr) <= 0) {
@ -132,8 +127,6 @@ public class BlockProcessor {
} else {
context.incrementCounter(dedupConf.getWf().getEntityType(), "d < " + dedupConf.getWf().getThreshold(), 1);
}
return result;
}
private boolean mustSkip(final String idPivot) {
@ -149,4 +142,5 @@ public class BlockProcessor {
context.emit(type, from, to);
}
}

View File

@ -1,50 +0,0 @@
package eu.dnetlib.pace.util;
import java.util.BitSet;
public class IncrementalConnectedComponents {
final private int size;
final private BitSet[] indexes;
IncrementalConnectedComponents(int size) {
this.size = size;
this.indexes = new BitSet[size];
}
public void connect(int i, int j) {
if (indexes[i] == null) {
if (indexes[j] == null) {
indexes[i] = new BitSet(size);
} else {
indexes[i] = indexes[j];
}
} else {
if (indexes[j] != null && indexes[i] != indexes[j]) {
// merge adjacency lists for i and j
indexes[i].or(indexes[j]);
}
}
indexes[i].set(i);
indexes[i].set(j);
indexes[j] = indexes[i];
}
public int nextUnconnected(int i, int j) {
if (indexes[i] == null) {
return j;
}
int result = indexes[i].nextClearBit(j);
return (result >= size) ? -1 : result;
}
public BitSet getConnections(int i) {
if (indexes[i] == null) {
return null;
}
return indexes[i];
}
}

View File

@ -97,8 +97,6 @@ public class MapDocumentUtil {
Object o = json.read(jsonPath);
if (o instanceof String)
return (String) o;
if (o instanceof Number)
return (String) o.toString();
if (o instanceof JSONArray && ((JSONArray) o).size() > 0)
return (String) ((JSONArray) o).get(0);
return "";

View File

@ -40,7 +40,7 @@ public class PaceResolver implements Serializable {
Collectors.toMap(cl -> cl.getAnnotation(ComparatorClass.class).value(), cl -> (Class<Comparator>) cl));
}
public ClusteringFunction getClusteringFunction(String name, Map<String, Object> params) throws PaceException {
public ClusteringFunction getClusteringFunction(String name, Map<String, Integer> params) throws PaceException {
try {
return clusteringFunctions.get(name).getDeclaredConstructor(Map.class).newInstance(params);
} catch (InstantiationException | IllegalAccessException | InvocationTargetException

View File

@ -15,7 +15,7 @@ import eu.dnetlib.pace.config.DedupConfig;
public class ClusteringFunctionTest extends AbstractPaceTest {
private static Map<String, Object> params;
private static Map<String, Integer> params;
private static DedupConfig conf;
@BeforeAll
@ -40,10 +40,10 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testNgram() {
params.put("ngramLen", "3");
params.put("max", "8");
params.put("maxPerToken", "2");
params.put("minNgramLen", "1");
params.put("ngramLen", 3);
params.put("max", 8);
params.put("maxPerToken", 2);
params.put("minNgramLen", 1);
final ClusteringFunction ngram = new Ngrams(params);
@ -54,8 +54,8 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testNgramPairs() {
params.put("ngramLen", "3");
params.put("max", "2");
params.put("ngramLen", 3);
params.put("max", 2);
final ClusteringFunction np = new NgramPairs(params);
@ -66,8 +66,8 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testSortedNgramPairs() {
params.put("ngramLen", "3");
params.put("max", "2");
params.put("ngramLen", 3);
params.put("max", 2);
final ClusteringFunction np = new SortedNgramPairs(params);
@ -87,9 +87,9 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testAcronym() {
params.put("max", "4");
params.put("minLen", "1");
params.put("maxLen", "3");
params.put("max", 4);
params.put("minLen", 1);
params.put("maxLen", 3);
final ClusteringFunction acro = new Acronyms(params);
@ -100,8 +100,8 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testSuffixPrefix() {
params.put("len", "3");
params.put("max", "4");
params.put("len", 3);
params.put("max", 4);
final ClusteringFunction sp = new SuffixPrefix(params);
@ -109,8 +109,8 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
System.out.println(s);
System.out.println(sp.apply(conf, Lists.newArrayList(s)));
params.put("len", "3");
params.put("max", "1");
params.put("len", 3);
params.put("max", 1);
System.out.println(sp.apply(conf, Lists.newArrayList("Framework for general-purpose deduplication")));
}
@ -118,8 +118,8 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testWordsSuffixPrefix() {
params.put("len", "3");
params.put("max", "4");
params.put("len", 3);
params.put("max", 4);
final ClusteringFunction sp = new WordsSuffixPrefix(params);
@ -130,7 +130,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testWordsStatsSuffixPrefix() {
params.put("mod", "10");
params.put("mod", 10);
final ClusteringFunction sp = new WordsStatsSuffixPrefixChain(params);
@ -167,7 +167,7 @@ public class ClusteringFunctionTest extends AbstractPaceTest {
@Test
public void testFieldValue() {
params.put("randomLength", "5");
params.put("randomLength", 5);
final ClusteringFunction sp = new SpaceTrimmingFieldValue(params);

View File

@ -1,40 +0,0 @@
package eu.dnetlib.pace.util;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNull;
import org.junit.jupiter.api.Test;
public class IncrementalConnectedComponentsTest {
@Test
public void transitiveClosureTest() {
IncrementalConnectedComponents icc = new IncrementalConnectedComponents(10);
icc.connect(0, 1);
icc.connect(0, 2);
icc.connect(0, 3);
icc.connect(1, 2);
icc.connect(1, 4);
icc.connect(1, 5);
icc.connect(6, 7);
icc.connect(6, 9);
assertEquals(icc.getConnections(0).toString(), "{0, 1, 2, 3, 4, 5}");
assertEquals(icc.getConnections(1).toString(), "{0, 1, 2, 3, 4, 5}");
assertEquals(icc.getConnections(2).toString(), "{0, 1, 2, 3, 4, 5}");
assertEquals(icc.getConnections(3).toString(), "{0, 1, 2, 3, 4, 5}");
assertEquals(icc.getConnections(4).toString(), "{0, 1, 2, 3, 4, 5}");
assertEquals(icc.getConnections(5).toString(), "{0, 1, 2, 3, 4, 5}");
assertEquals(icc.getConnections(6).toString(), "{6, 7, 9}");
assertEquals(icc.getConnections(7).toString(), "{6, 7, 9}");
assertEquals(icc.getConnections(9).toString(), "{6, 7, 9}");
assertNull(icc.getConnections(8));
}
}

View File

@ -1,39 +0,0 @@
/*
* Copyright (c) 2024.
* SPDX-FileCopyrightText: © 2023 Consiglio Nazionale delle Ricerche
* SPDX-License-Identifier: AGPL-3.0-or-later
*/
package eu.dnetlib.dhp.actionmanager.promote;
/** Encodes the Actionset promotion strategies */
public class PromoteAction {
/** The supported actionset promotion strategies
*
* ENRICH: promotes only records in the actionset matching another record in the
* graph and enriches them applying the given MergeAndGet strategy
* UPSERT: promotes all the records in an actionset, matching records are updated
* using the given MergeAndGet strategy, the non-matching record as inserted as they are.
*/
public enum Strategy {
ENRICH, UPSERT
}
/**
* Returns the string representation of the join type implementing the given PromoteAction.
*
* @param strategy the strategy to be used to promote the Actionset contents
* @return the join type used to implement the promotion strategy
*/
public static String joinTypeForStrategy(PromoteAction.Strategy strategy) {
switch (strategy) {
case ENRICH:
return "left_outer";
case UPSERT:
return "full_outer";
default:
throw new IllegalStateException("unsupported PromoteAction: " + strategy.toString());
}
}
}

View File

@ -67,9 +67,8 @@ public class PromoteActionPayloadForGraphTableJob {
String outputGraphTablePath = parser.get("outputGraphTablePath");
logger.info("outputGraphTablePath: {}", outputGraphTablePath);
MergeAndGet.Strategy mergeAndGetStrategy = MergeAndGet.Strategy
.valueOf(parser.get("mergeAndGetStrategy").toUpperCase());
logger.info("mergeAndGetStrategy: {}", mergeAndGetStrategy);
MergeAndGet.Strategy strategy = MergeAndGet.Strategy.valueOf(parser.get("mergeAndGetStrategy").toUpperCase());
logger.info("strategy: {}", strategy);
Boolean shouldGroupById = Optional
.ofNullable(parser.get("shouldGroupById"))
@ -77,12 +76,6 @@ public class PromoteActionPayloadForGraphTableJob {
.orElse(true);
logger.info("shouldGroupById: {}", shouldGroupById);
PromoteAction.Strategy promoteActionStrategy = Optional
.ofNullable(parser.get("promoteActionStrategy"))
.map(PromoteAction.Strategy::valueOf)
.orElse(PromoteAction.Strategy.UPSERT);
logger.info("promoteActionStrategy: {}", promoteActionStrategy);
@SuppressWarnings("unchecked")
Class<? extends Oaf> rowClazz = (Class<? extends Oaf>) Class.forName(graphTableClassName);
@SuppressWarnings("unchecked")
@ -104,8 +97,7 @@ public class PromoteActionPayloadForGraphTableJob {
inputGraphTablePath,
inputActionPayloadPath,
outputGraphTablePath,
mergeAndGetStrategy,
promoteActionStrategy,
strategy,
rowClazz,
actionPayloadClazz,
shouldGroupById);
@ -132,16 +124,14 @@ public class PromoteActionPayloadForGraphTableJob {
String inputGraphTablePath,
String inputActionPayloadPath,
String outputGraphTablePath,
MergeAndGet.Strategy mergeAndGetStrategy,
PromoteAction.Strategy promoteActionStrategy,
MergeAndGet.Strategy strategy,
Class<G> rowClazz,
Class<A> actionPayloadClazz, Boolean shouldGroupById) {
Dataset<G> rowDS = readGraphTable(spark, inputGraphTablePath, rowClazz);
Dataset<A> actionPayloadDS = readActionPayload(spark, inputActionPayloadPath, actionPayloadClazz);
Dataset<G> result = promoteActionPayloadForGraphTable(
rowDS, actionPayloadDS, mergeAndGetStrategy, promoteActionStrategy, rowClazz, actionPayloadClazz,
shouldGroupById)
rowDS, actionPayloadDS, strategy, rowClazz, actionPayloadClazz, shouldGroupById)
.map((MapFunction<G, G>) value -> value, Encoders.bean(rowClazz));
saveGraphTable(result, outputGraphTablePath);
@ -193,8 +183,7 @@ public class PromoteActionPayloadForGraphTableJob {
private static <G extends Oaf, A extends Oaf> Dataset<G> promoteActionPayloadForGraphTable(
Dataset<G> rowDS,
Dataset<A> actionPayloadDS,
MergeAndGet.Strategy mergeAndGetStrategy,
PromoteAction.Strategy promoteActionStrategy,
MergeAndGet.Strategy strategy,
Class<G> rowClazz,
Class<A> actionPayloadClazz,
Boolean shouldGroupById) {
@ -206,9 +195,8 @@ public class PromoteActionPayloadForGraphTableJob {
SerializableSupplier<Function<G, String>> rowIdFn = ModelSupport::idFn;
SerializableSupplier<Function<A, String>> actionPayloadIdFn = ModelSupport::idFn;
SerializableSupplier<BiFunction<G, A, G>> mergeRowWithActionPayloadAndGetFn = MergeAndGet
.functionFor(mergeAndGetStrategy);
SerializableSupplier<BiFunction<G, G, G>> mergeRowsAndGetFn = MergeAndGet.functionFor(mergeAndGetStrategy);
SerializableSupplier<BiFunction<G, A, G>> mergeRowWithActionPayloadAndGetFn = MergeAndGet.functionFor(strategy);
SerializableSupplier<BiFunction<G, G, G>> mergeRowsAndGetFn = MergeAndGet.functionFor(strategy);
SerializableSupplier<G> zeroFn = zeroFn(rowClazz);
SerializableSupplier<Function<G, Boolean>> isNotZeroFn = PromoteActionPayloadForGraphTableJob::isNotZeroFnUsingIdOrSourceAndTarget;
@ -219,7 +207,6 @@ public class PromoteActionPayloadForGraphTableJob {
rowIdFn,
actionPayloadIdFn,
mergeRowWithActionPayloadAndGetFn,
promoteActionStrategy,
rowClazz,
actionPayloadClazz);

View File

@ -34,7 +34,6 @@ public class PromoteActionPayloadFunctions {
* @param rowIdFn Function used to get the id of graph table row
* @param actionPayloadIdFn Function used to get id of action payload instance
* @param mergeAndGetFn Function used to merge graph table row and action payload instance
* @param promoteActionStrategy the Actionset promotion strategy
* @param rowClazz Class of graph table
* @param actionPayloadClazz Class of action payload
* @param <G> Type of graph table row
@ -47,7 +46,6 @@ public class PromoteActionPayloadFunctions {
SerializableSupplier<Function<G, String>> rowIdFn,
SerializableSupplier<Function<A, String>> actionPayloadIdFn,
SerializableSupplier<BiFunction<G, A, G>> mergeAndGetFn,
PromoteAction.Strategy promoteActionStrategy,
Class<G> rowClazz,
Class<A> actionPayloadClazz) {
if (!isSubClass(rowClazz, actionPayloadClazz)) {
@ -63,7 +61,7 @@ public class PromoteActionPayloadFunctions {
.joinWith(
actionPayloadWithIdDS,
rowWithIdDS.col("_1").equalTo(actionPayloadWithIdDS.col("_1")),
PromoteAction.joinTypeForStrategy(promoteActionStrategy))
"full_outer")
.map(
(MapFunction<Tuple2<Tuple2<String, G>, Tuple2<String, A>>, G>) value -> {
Optional<G> rowOpt = Optional.ofNullable(value._1()).map(Tuple2::_2);

View File

@ -41,12 +41,6 @@
"paramDescription": "strategy for merging graph table objects with action payload instances, MERGE_FROM_AND_GET or SELECT_NEWER_AND_GET",
"paramRequired": true
},
{
"paramName": "pas",
"paramLongName": "promoteActionStrategy",
"paramDescription": "strategy for promoting the actionset contents into the graph tables, ENRICH or UPSERT (default)",
"paramRequired": false
},
{
"paramName": "sgid",
"paramLongName": "shouldGroupById",

View File

@ -115,7 +115,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputGraphTablePath</arg><arg>${workingDir}/dataset</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="DecisionPromoteResultActionPayloadForDatasetTable"/>
@ -168,7 +167,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Result</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/dataset</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="End"/>

View File

@ -106,7 +106,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Datasource</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/datasource</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -106,7 +106,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Organization</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/organization</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -114,7 +114,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputGraphTablePath</arg><arg>${workingDir}/otherresearchproduct</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="DecisionPromoteResultActionPayloadForOtherResearchProductTable"/>
@ -167,7 +166,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Result</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/otherresearchproduct</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="End"/>

View File

@ -106,7 +106,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Project</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/project</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -115,7 +115,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputGraphTablePath</arg><arg>${workingDir}/publication</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="DecisionPromoteResultActionPayloadForPublicationTable"/>
@ -168,7 +167,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Result</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/publication</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="End"/>

View File

@ -107,7 +107,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Relation</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/relation</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -114,7 +114,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputGraphTablePath</arg><arg>${workingDir}/software</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="DecisionPromoteResultActionPayloadForSoftwareTable"/>
@ -167,7 +166,6 @@
<arg>--actionPayloadClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Result</arg>
<arg>--outputGraphTablePath</arg><arg>${outputGraphRootPath}/software</arg>
<arg>--mergeAndGetStrategy</arg><arg>${mergeAndGetStrategy}</arg>
<arg>--promoteActionStrategy</arg><arg>${promoteActionStrategy}</arg>
<arg>--shouldGroupById</arg><arg>${shouldGroupById}</arg>
</spark>
<ok to="End"/>

View File

@ -54,7 +54,7 @@ public class PromoteActionPayloadFunctionsTest {
RuntimeException.class,
() -> PromoteActionPayloadFunctions
.joinGraphTableWithActionPayloadAndMerge(
null, null, null, null, null, null, OafImplSubSub.class, OafImpl.class));
null, null, null, null, null, OafImplSubSub.class, OafImpl.class));
}
@Test
@ -104,7 +104,6 @@ public class PromoteActionPayloadFunctionsTest {
rowIdFn,
actionPayloadIdFn,
mergeAndGetFn,
PromoteAction.Strategy.UPSERT,
OafImplSubSub.class,
OafImplSubSub.class)
.collectAsList();
@ -184,7 +183,6 @@ public class PromoteActionPayloadFunctionsTest {
rowIdFn,
actionPayloadIdFn,
mergeAndGetFn,
PromoteAction.Strategy.UPSERT,
OafImplSubSub.class,
OafImplSub.class)
.collectAsList();

View File

@ -124,19 +124,8 @@ public class PrepareFOSSparkJob implements Serializable {
FOSDataModel first) {
level1.add(first.getLevel1());
level2.add(first.getLevel2());
if (Optional.ofNullable(first.getLevel3()).isPresent() &&
!first.getLevel3().equalsIgnoreCase(NA) && !first.getLevel3().equalsIgnoreCase(NULL)
&& first.getLevel3() != null)
level3.add(first.getLevel3() + "@@" + first.getScoreL3());
else
level3.add(NULL);
if (Optional.ofNullable(first.getLevel4()).isPresent() &&
!first.getLevel4().equalsIgnoreCase(NA) &&
!first.getLevel4().equalsIgnoreCase(NULL) &&
first.getLevel4() != null)
level4.add(first.getLevel4() + "@@" + first.getScoreL4());
else
level4.add(NULL);
level3.add(first.getLevel3() + "@@" + first.getScoreL3());
level4.add(first.getLevel4() + "@@" + first.getScoreL4());
}
}

View File

@ -19,7 +19,6 @@ import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.aggregation.common.ReporterCallback;
import eu.dnetlib.dhp.aggregation.common.ReportingJob;
import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.base.BaseCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.file.FileCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.file.FileGZipCollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.mongodb.MDStoreCollectorPlugin;
@ -121,8 +120,6 @@ public class CollectorWorker extends ReportingJob {
return new FileCollectorPlugin(fileSystem);
case fileGzip:
return new FileGZipCollectorPlugin(fileSystem);
case baseDump:
return new BaseCollectorPlugin(this.fileSystem);
case other:
final CollectorPlugin.NAME.OTHER_NAME plugin = Optional
.ofNullable(api.getParams().get("other_plugin_type"))

View File

@ -10,8 +10,7 @@ import eu.dnetlib.dhp.common.collection.CollectorException;
public interface CollectorPlugin {
enum NAME {
oai, other, rest_json2xml, file, fileGzip, baseDump;
oai, other, rest_json2xml, file, fileGzip;
public enum OTHER_NAME {
mdstore_mongodb_dump, mdstore_mongodb

View File

@ -1,171 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.base;
import java.io.BufferedInputStream;
import java.io.ByteArrayInputStream;
import java.io.InputStream;
import java.io.StringWriter;
import java.util.Iterator;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import javax.xml.stream.XMLEventReader;
import javax.xml.stream.XMLEventWriter;
import javax.xml.stream.XMLInputFactory;
import javax.xml.stream.XMLOutputFactory;
import javax.xml.stream.events.EndElement;
import javax.xml.stream.events.StartElement;
import javax.xml.stream.events.XMLEvent;
import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
import org.apache.commons.compress.compressors.CompressorInputStream;
import org.apache.commons.compress.compressors.CompressorStreamFactory;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
public class BaseCollectorIterator implements Iterator<String> {
private String nextElement;
private final BlockingQueue<String> queue = new LinkedBlockingQueue<>(100);
private static final Logger log = LoggerFactory.getLogger(BaseCollectorIterator.class);
private static final String END_ELEM = "__END__";
public BaseCollectorIterator(final FileSystem fs, final Path filePath, final AggregatorReport report) {
new Thread(() -> importHadoopFile(fs, filePath, report)).start();
try {
this.nextElement = this.queue.take();
} catch (final InterruptedException e) {
throw new RuntimeException(e);
}
}
protected BaseCollectorIterator(final String resourcePath, final AggregatorReport report) {
new Thread(() -> importTestFile(resourcePath, report)).start();
try {
this.nextElement = this.queue.take();
} catch (final InterruptedException e) {
throw new RuntimeException(e);
}
}
@Override
public synchronized boolean hasNext() {
return (this.nextElement != null) & !END_ELEM.equals(this.nextElement);
}
@Override
public synchronized String next() {
try {
return END_ELEM.equals(this.nextElement) ? null : this.nextElement;
} finally {
try {
this.nextElement = this.queue.take();
} catch (final InterruptedException e) {
throw new RuntimeException(e);
}
}
}
private void importHadoopFile(final FileSystem fs, final Path filePath, final AggregatorReport report) {
log.info("I start to read the TAR stream");
try (InputStream origInputStream = fs.open(filePath);
final TarArchiveInputStream tarInputStream = new TarArchiveInputStream(origInputStream)) {
importTarStream(tarInputStream, report);
} catch (final Throwable e) {
throw new RuntimeException("Error processing BASE records", e);
}
}
private void importTestFile(final String resourcePath, final AggregatorReport report) {
try (final InputStream origInputStream = BaseCollectorIterator.class.getResourceAsStream(resourcePath);
final TarArchiveInputStream tarInputStream = new TarArchiveInputStream(origInputStream)) {
importTarStream(tarInputStream, report);
} catch (final Throwable e) {
throw new RuntimeException("Error processing BASE records", e);
}
}
private void importTarStream(final TarArchiveInputStream tarInputStream, final AggregatorReport report) {
long count = 0;
final XMLInputFactory xmlInputFactory = XMLInputFactory.newInstance();
final XMLOutputFactory xmlOutputFactory = XMLOutputFactory.newInstance();
try {
TarArchiveEntry entry;
while ((entry = (TarArchiveEntry) tarInputStream.getNextEntry()) != null) {
final String name = entry.getName();
if (!entry.isDirectory() && name.contains("ListRecords") && name.endsWith(".bz2")) {
log.info("Processing file (BZIP): " + name);
final byte[] bzipData = new byte[(int) entry.getSize()];
IOUtils.readFully(tarInputStream, bzipData);
try (InputStream bzipIs = new ByteArrayInputStream(bzipData);
final BufferedInputStream bzipBis = new BufferedInputStream(bzipIs);
final CompressorInputStream bzipInput = new CompressorStreamFactory()
.createCompressorInputStream(bzipBis)) {
final XMLEventReader reader = xmlInputFactory.createXMLEventReader(bzipInput);
XMLEventWriter eventWriter = null;
StringWriter xmlWriter = null;
while (reader.hasNext()) {
final XMLEvent nextEvent = reader.nextEvent();
if (nextEvent.isStartElement()) {
final StartElement startElement = nextEvent.asStartElement();
if ("record".equals(startElement.getName().getLocalPart())) {
xmlWriter = new StringWriter();
eventWriter = xmlOutputFactory.createXMLEventWriter(xmlWriter);
}
}
if (eventWriter != null) {
eventWriter.add(nextEvent);
}
if (nextEvent.isEndElement()) {
final EndElement endElement = nextEvent.asEndElement();
if ("record".equals(endElement.getName().getLocalPart())) {
eventWriter.flush();
eventWriter.close();
this.queue.put(xmlWriter.toString());
eventWriter = null;
xmlWriter = null;
count++;
}
}
}
}
}
}
this.queue.put(END_ELEM); // TO INDICATE THE END OF THE QUEUE
} catch (final Throwable e) {
log.error("Error processing BASE records", e);
report.put(e.getClass().getName(), e.getMessage());
throw new RuntimeException("Error processing BASE records", e);
} finally {
log.info("Total records (written in queue): " + count);
}
}
}

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@ -1,159 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.base;
import java.io.IOException;
import java.sql.SQLException;
import java.util.HashSet;
import java.util.Iterator;
import java.util.Optional;
import java.util.Set;
import java.util.Spliterator;
import java.util.Spliterators;
import java.util.stream.Stream;
import java.util.stream.StreamSupport;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.DocumentHelper;
import org.dom4j.Node;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.collection.ApiDescriptor;
import eu.dnetlib.dhp.collection.plugin.CollectorPlugin;
import eu.dnetlib.dhp.collection.plugin.file.AbstractSplittedRecordPlugin;
import eu.dnetlib.dhp.common.DbClient;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
import eu.dnetlib.dhp.common.collection.CollectorException;
public class BaseCollectorPlugin implements CollectorPlugin {
private final FileSystem fs;
private static final Logger log = LoggerFactory.getLogger(AbstractSplittedRecordPlugin.class);
// MAPPING AND FILTERING ARE DEFINED HERE:
// https://docs.google.com/document/d/1Aj-ZAV11b44MCrAAUCPiS2TUlXb6PnJEu1utCMAcCOU/edit
public BaseCollectorPlugin(final FileSystem fs) {
this.fs = fs;
}
@Override
public Stream<String> collect(final ApiDescriptor api, final AggregatorReport report) throws CollectorException {
// the path of the dump file on HDFS
// http://oai.base-search.net/initial_load/base_oaipmh_dump-current.tar
// it could be downloaded from iis-cdh5-test-gw.ocean.icm.edu.pl and then copied on HDFS
final Path filePath = Optional
.ofNullable(api.getBaseUrl())
.map(Path::new)
.orElseThrow(() -> new CollectorException("missing baseUrl"));
// get the parameters for the connection to the OpenAIRE database.
// the database is used to obtain the list of the datasources that the plugin will collect
final String dbUrl = api.getParams().get("dbUrl");
final String dbUser = api.getParams().get("dbUser");
final String dbPassword = api.getParams().get("dbPassword");
// the types(comma separated, empty value for all) that the plugin will collect,
// the types should be expressed in the format of the normalized types of BASE (for example 1,121,...)
final String acceptedNormTypesString = api.getParams().get("acceptedNormTypes");
log.info("baseUrl: {}", filePath);
log.info("dbUrl: {}", dbUrl);
log.info("dbUser: {}", dbUser);
log.info("dbPassword: {}", "***");
log.info("acceptedNormTypes: {}", acceptedNormTypesString);
try {
if (!this.fs.exists(filePath)) {
throw new CollectorException("path does not exist: " + filePath);
}
} catch (final Throwable e) {
throw new CollectorException(e);
}
final Set<String> acceptedOpendoarIds = findAcceptedOpendoarIds(dbUrl, dbUser, dbPassword);
final Set<String> acceptedNormTypes = new HashSet<>();
if (StringUtils.isNotBlank(acceptedNormTypesString)) {
for (final String s : StringUtils.split(acceptedNormTypesString, ",")) {
if (StringUtils.isNotBlank(s)) {
acceptedNormTypes.add(s.trim());
}
}
}
final Iterator<String> iterator = new BaseCollectorIterator(this.fs, filePath, report);
final Spliterator<String> spliterator = Spliterators.spliteratorUnknownSize(iterator, Spliterator.ORDERED);
return StreamSupport
.stream(spliterator, false)
.filter(doc -> filterXml(doc, acceptedOpendoarIds, acceptedNormTypes));
}
private Set<String> findAcceptedOpendoarIds(final String dbUrl, final String dbUser, final String dbPassword)
throws CollectorException {
final Set<String> accepted = new HashSet<>();
try (final DbClient dbClient = new DbClient(dbUrl, dbUser, dbPassword)) {
final String sql = IOUtils
.toString(
getClass().getResourceAsStream("/eu/dnetlib/dhp/collection/plugin/base/sql/opendoar-accepted.sql"));
dbClient.processResults(sql, row -> {
try {
final String dsId = row.getString("id");
log.info("Accepted Datasource: " + dsId);
accepted.add(dsId);
} catch (final SQLException e) {
log.error("Error in SQL", e);
throw new RuntimeException("Error in SQL", e);
}
});
} catch (final IOException e) {
log.error("Error accessong SQL", e);
throw new CollectorException("Error accessong SQL", e);
}
log.info("Accepted Datasources (TOTAL): " + accepted.size());
return accepted;
}
protected static boolean filterXml(final String xml,
final Set<String> acceptedOpendoarIds,
final Set<String> acceptedNormTypes) {
try {
final Document doc = DocumentHelper.parseText(xml);
final String id = doc.valueOf("//*[local-name()='collection']/@opendoar_id").trim();
if (StringUtils.isBlank(id) || !acceptedOpendoarIds.contains("opendoar____::" + id)) {
return false;
}
if (acceptedNormTypes.isEmpty()) {
return true;
}
for (final Object s : doc.selectNodes("//*[local-name()='typenorm']")) {
if (acceptedNormTypes.contains(((Node) s).getText().trim())) {
return true;
}
}
return false;
} catch (final DocumentException e) {
log.error("Error parsing document", e);
throw new RuntimeException("Error parsing document", e);
}
}
}

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@ -1,114 +0,0 @@
BEGIN;
INSERT INTO dsm_services(
_dnet_resource_identifier_,
id,
officialname,
englishname,
namespaceprefix,
websiteurl,
logourl,
platform,
contactemail,
collectedfrom,
provenanceaction,
_typology_to_remove_,
eosc_type,
eosc_datasource_type,
research_entity_types,
thematic
) VALUES (
'openaire____::base_search',
'openaire____::base_search',
'Bielefeld Academic Search Engine (BASE)',
'Bielefeld Academic Search Engine (BASE)',
'base_search_',
'https://www.base-search.net',
'https://www.base-search.net/about/download/logo_224x57_white.gif',
'BASE',
'openaire-helpdesk@uni-bielefeld.de',
'infrastruct_::openaire',
'user:insert',
'aggregator::pubsrepository::unknown',
'Data Source',
'Aggregator',
ARRAY['Research Products'],
false
);
INSERT INTO dsm_service_organization(
_dnet_resource_identifier_,
organization,
service
) VALUES (
'fairsharing_::org::214@@openaire____::base_search',
'fairsharing_::org::214',
'openaire____::base_search'
);
INSERT INTO dsm_api(
_dnet_resource_identifier_,
id,
service,
protocol,
baseurl,
metadata_identifier_path
) VALUES (
'api_________::openaire____::base_search::dump',
'api_________::openaire____::base_search::dump',
'openaire____::base_search',
'baseDump',
'/user/michele.artini/base-import/base_oaipmh_dump-current.tar',
'//*[local-name()=''header'']/*[local-name()=''identifier'']'
);
INSERT INTO dsm_apiparams(
_dnet_resource_identifier_,
api,
param,
value
) VALUES (
'api_________::openaire____::base_search::dump@@dbUrl',
'api_________::openaire____::base_search::dump',
'dbUrl',
'jdbc:postgresql://postgresql.services.openaire.eu:5432/dnet_openaireplus'
);
INSERT INTO dsm_apiparams(
_dnet_resource_identifier_,
api,
param,
value
) VALUES (
'api_________::openaire____::base_search::dump@@dbUser',
'api_________::openaire____::base_search::dump',
'dbUser',
'dnet'
);
INSERT INTO dsm_apiparams(
_dnet_resource_identifier_,
api,
param,
value
) VALUES (
'api_________::openaire____::base_search::dump@@dbPassword',
'api_________::openaire____::base_search::dump',
'dbPassword',
'***'
);
INSERT INTO dsm_apiparams(
_dnet_resource_identifier_,
api,
param,
value
) VALUES (
'api_________::openaire____::base_search::dump@@acceptedNormTypes',
'api_________::openaire____::base_search::dump',
'acceptedNormTypes',
'1,11,111,121,13,14,15,18,181,182,183,1A,6,7'
);
COMMIT;

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@ -1,9 +0,0 @@
select s.id as id
from dsm_services s
where collectedfrom = 'openaire____::opendoar'
and jurisdiction = 'Institutional'
and s.id in (
select service from dsm_api where coalesce(compatibility_override, compatibility) = 'driver' or coalesce(compatibility_override, compatibility) = 'UNKNOWN'
) and s.id not in (
select service from dsm_api where coalesce(compatibility_override, compatibility) like '%openaire%'
);

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@ -1,11 +0,0 @@
select
s.id as id,
s.jurisdiction as jurisdiction,
array_remove(array_agg(a.id || ' (compliance: ' || coalesce(a.compatibility_override, a.compatibility, 'UNKNOWN') || ')@@@' || coalesce(a.last_collection_total, 0)), NULL) as aggregations
from
dsm_services s
join dsm_api a on (s.id = a.service)
where
collectedfrom = 'openaire____::opendoar'
group by
s.id;

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@ -1,180 +0,0 @@
<RESOURCE_PROFILE>
<HEADER>
<RESOURCE_IDENTIFIER value="c67911d6-9988-4a3b-b965-7d39bdd4a31d_Vm9jYWJ1bGFyeURTUmVzb3VyY2VzL1ZvY2FidWxhcnlEU1Jlc291cmNlVHlwZQ==" />
<RESOURCE_TYPE value="VocabularyDSResourceType" />
<RESOURCE_KIND value="VocabularyDSResources" />
<RESOURCE_URI value="" />
<DATE_OF_CREATION value="2024-02-13T11:15:48+00:00" />
</HEADER>
<BODY>
<CONFIGURATION>
<VOCABULARY_NAME code="base:normalized_types">base:normalized_types</VOCABULARY_NAME>
<VOCABULARY_DESCRIPTION>base:normalized_types</VOCABULARY_DESCRIPTION>
<TERMS>
<TERM native_name="Text" code="Text" english_name="Text" encoding="BASE">
<SYNONYMS>
<SYNONYM term="1" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Book" code="Book" english_name="Book" encoding="BASE">
<SYNONYMS>
<SYNONYM term="11" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Book part" code="Book part" english_name="Book part" encoding="BASE">
<SYNONYMS>
<SYNONYM term="111" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Journal/Newspaper" code="Journal/Newspaper" english_name="Journal/Newspaper" encoding="BASE">
<SYNONYMS>
<SYNONYM term="12" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Article contribution" code="Article contribution" english_name="Article contribution" encoding="BASE">
<SYNONYMS>
<SYNONYM term="121" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Other non-article" code="Other non-article" english_name="Other non-article" encoding="BASE">
<SYNONYMS>
<SYNONYM term="122" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Conference object" code="Conference object" english_name="Conference object" encoding="BASE">
<SYNONYMS>
<SYNONYM term="13" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Report" code="Report" english_name="Report" encoding="BASE">
<SYNONYMS>
<SYNONYM term="14" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Review" code="Review" english_name="Review" encoding="BASE">
<SYNONYMS>
<SYNONYM term="15" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Course material" code="Course material" english_name="Course material" encoding="BASE">
<SYNONYMS>
<SYNONYM term="16" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Lecture" code="Lecture" english_name="Lecture" encoding="BASE">
<SYNONYMS>
<SYNONYM term="17" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Thesis" code="Thesis" english_name="Thesis" encoding="BASE">
<SYNONYMS>
<SYNONYM term="18" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Bachelor's thesis" code="Bachelor's thesis" english_name="Bachelor's thesis" encoding="BASE">
<SYNONYMS>
<SYNONYM term="181" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Master's thesis" code="Master's thesis" english_name="Master's thesis" encoding="BASE">
<SYNONYMS>
<SYNONYM term="182" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Doctoral and postdoctoral thesis" code="Doctoral and postdoctoral thesis" english_name="Doctoral and postdoctoral thesis" encoding="BASE">
<SYNONYMS>
<SYNONYM term="183" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Manuscript" code="Manuscript" english_name="Manuscript" encoding="BASE">
<SYNONYMS>
<SYNONYM term="19" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Patent" code="Patent" english_name="Patent" encoding="BASE">
<SYNONYMS>
<SYNONYM term="1A" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Musical notation" code="Musical notation" english_name="Musical notation" encoding="BASE">
<SYNONYMS>
<SYNONYM term="2" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Map" code="Map" english_name="Map" encoding="BASE">
<SYNONYMS>
<SYNONYM term="3" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Audio" code="Audio" english_name="Audio" encoding="BASE">
<SYNONYMS>
<SYNONYM term="4" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Image/Video" code="Image/Video" english_name="Image/Video" encoding="BASE">
<SYNONYMS>
<SYNONYM term="5" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Still image" code="Still image" english_name="Still image" encoding="BASE">
<SYNONYMS>
<SYNONYM term="51" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Moving image/Video" code="Moving image/Video" english_name="Moving image/Video" encoding="BASE">
<SYNONYMS>
<SYNONYM term="52" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Software" code="Software" english_name="Software" encoding="BASE">
<SYNONYMS>
<SYNONYM term="6" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Dataset" code="Dataset" english_name="Dataset" encoding="BASE">
<SYNONYMS>
<SYNONYM term="7" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
<TERM native_name="Unknown" code="Unknown" english_name="Unknown" encoding="BASE">
<SYNONYMS>
<SYNONYM term="F" encoding="BASE" />
</SYNONYMS>
<RELATIONS />
</TERM>
</TERMS>
</CONFIGURATION>
<STATUS>
<LAST_UPDATE value="2013-11-18T10:46:36Z" />
</STATUS>
<SECURITY_PARAMETERS>String</SECURITY_PARAMETERS>
</BODY>
</RESOURCE_PROFILE>

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@ -1,302 +0,0 @@
<RESOURCE_PROFILE>
<HEADER>
<RESOURCE_IDENTIFIER value="" />
<RESOURCE_TYPE value="TransformationRuleDSResourceType" />
<RESOURCE_KIND value="TransformationRuleDSResources" />
<RESOURCE_URI value="" />
<DATE_OF_CREATION value="2024-03-05T11:23:00+00:00" />
</HEADER>
<BODY>
<CONFIGURATION>
<SOURCE_METADATA_FORMAT interpretation="cleaned" layout="store" name="dc" />
<SINK_METADATA_FORMAT name="oaf_hbase" />
<IMPORTED />
<SCRIPT>
<TITLE>xslt_base2oaf_hadoop</TITLE>
<CODE>
<xsl:stylesheet xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:dateCleaner="http://eu/dnetlib/transform/dateISO"
xmlns:base_dc="http://oai.base-search.net/base_dc/"
xmlns:datacite="http://datacite.org/schema/kernel-4" xmlns:dr="http://www.driver-repository.eu/namespace/dr" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:vocabulary="http://eu/dnetlib/transform/clean" xmlns:oaf="http://namespace.openaire.eu/oaf"
xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:dc="http://purl.org/dc/elements/1.1/"
exclude-result-prefixes="xsl vocabulary dateCleaner base_dc" version="2.0">
<xsl:param name="varOfficialName" />
<xsl:param name="varDataSourceId" />
<xsl:param name="varFP7" select="'corda_______::'" />
<xsl:param name="varH2020" select="'corda__h2020::'" />
<xsl:param name="repoCode" select="substring-before(//*[local-name() = 'header']/*[local-name()='recordIdentifier'], ':')" />
<xsl:param name="index" select="0" />
<xsl:param name="transDate" select="current-dateTime()" />
<xsl:template name="terminate">
<xsl:message terminate="yes">
record is not compliant, transformation is interrupted.
</xsl:message>
</xsl:template>
<xsl:template match="/">
<record>
<xsl:apply-templates select="//*[local-name() = 'header']" />
<!-- TO EVALUATE
base_dc:authod_id
base_dc:authod_id/base_dc:creator_id
base_dc:authod_id/base_dc:creator_name
example:
<dc:creator>ALBU, Svetlana</dc:creator>
<base_dc:authod_id>
<base_dc:creator_name>ALBU, Svetlana</base_dc:creator_name>
<base_dc:creator_id>https://orcid.org/0000-0002-8648-950X</base_dc:creator_id>
</base_dc:authod_id>
-->
<!-- NOT USED
base_dc:global_id (I used oai:identifier)
base_dc:collection/text()
base_dc:continent
base_dc:year (I used dc:date)
dc:coverage
dc:language (I used base_dc:lang)
base_dc:link (I used dc:identifier)
-->
<xsl:variable name="varBaseNormType" select="vocabulary:clean(//base_dc:typenorm, 'base:normalized_types')" />
<metadata>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:title" />
<xsl:with-param name="targetElement" select="'dc:title'" />
</xsl:call-template>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:creator/replace(., '^(.*)\|.*$', '$1')" />
<xsl:with-param name="targetElement" select="'dc:creator'" />
</xsl:call-template>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:contributor" />
<xsl:with-param name="targetElement" select="'dc:contributor'" />
</xsl:call-template>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:description" />
<xsl:with-param name="targetElement" select="'dc:description'" />
</xsl:call-template>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:subject" />
<xsl:with-param name="targetElement" select="'dc:subject'" />
</xsl:call-template>
<!-- TODO: I'm not sure if this is the correct encoding -->
<xsl:for-each select="//base_dc:classcode|//base_dc:autoclasscode">
<dc:subject><xsl:value-of select="concat(@type, ':', .)" /></dc:subject>
</xsl:for-each>
<!-- END TODO -->
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:publisher" />
<xsl:with-param name="targetElement" select="'dc:publisher'" />
</xsl:call-template>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:format" />
<xsl:with-param name="targetElement" select="'dc:format'" />
</xsl:call-template>
<dc:type>
<xsl:value-of select="$varBaseNormType" />
</dc:type>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:type" />
<xsl:with-param name="targetElement" select="'dc:type'" />
</xsl:call-template>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:source" />
<xsl:with-param name="targetElement" select="'dc:source'" />
</xsl:call-template>
<dc:language>
<xsl:value-of select="vocabulary:clean( //base_dc:lang, 'dnet:languages')" />
</dc:language>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:rights" />
<xsl:with-param name="targetElement" select="'dc:rights'" />
</xsl:call-template>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:relation" />
<xsl:with-param name="targetElement" select="'dc:relation'" />
</xsl:call-template>
<xsl:if test="not(//dc:identifier[starts-with(., 'http')])">
<xsl:call-template name="terminate" />
</xsl:if>
<xsl:call-template name="allElements">
<xsl:with-param name="sourceElement" select="//dc:identifier[starts-with(., 'http')]" />
<xsl:with-param name="targetElement" select="'dc:identifier'" />
</xsl:call-template>
<xsl:for-each select="//dc:relation">
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varFP7, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varH2020, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
</xsl:for-each>
<dr:CobjCategory>
<xsl:variable name="varCobjCategory" select="vocabulary:clean($varBaseNormType, 'dnet:publication_resource')" />
<xsl:variable name="varSuperType" select="vocabulary:clean($varCobjCategory, 'dnet:result_typologies')" />
<xsl:attribute name="type" select="$varSuperType" />
<xsl:value-of select="$varCobjCategory" />
</dr:CobjCategory>
<oaf:accessrights>
<xsl:choose>
<xsl:when test="//base_dc:oa[.='1']">OPEN</xsl:when>
<xsl:when test="//base_dc:rightsnorm">
<xsl:value-of select="vocabulary:clean(//base_dc:rightsnorm, 'dnet:access_modes')" />
</xsl:when>
<xsl:when test="//dc:rights">
<xsl:value-of select="vocabulary:clean( //dc:rights, 'dnet:access_modes')" />
</xsl:when>
<xsl:otherwise>UNKNOWN</xsl:otherwise>
</xsl:choose>
</oaf:accessrights>
<xsl:for-each select="//base_dc:doi">
<oaf:identifier identifierType="doi">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'http') and (not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/')))])">
<oaf:identifier identifierType="url">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))">
<oaf:identifier identifierType="handle">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])">
<oaf:identifier identifierType='urn'>
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<oaf:identifier identifierType="oai-original">
<xsl:value-of
select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'identifier']" />
</oaf:identifier>
<oaf:hostedBy>
<xsl:attribute name="name">
<xsl:value-of select="//base_dc:collname" />
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="concat('opendoar____::', //base_dc:collection/@opendoar_id)" />
</xsl:attribute>
</oaf:hostedBy>
<oaf:collectedFrom>
<xsl:attribute name="name">
<xsl:value-of select="$varOfficialName" />
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="$varDataSourceId" />
</xsl:attribute>
</oaf:collectedFrom>
<oaf:dateAccepted>
<xsl:value-of select="dateCleaner:dateISO( //dc:date[1] )" />
</oaf:dateAccepted>
<xsl:if test="//base_dc:oa[.='1']">
<xsl:for-each select="//dc:relation[starts-with(., 'http')]">
<oaf:fulltext>
<xsl:value-of select="normalize-space(.)" />
</oaf:fulltext>
</xsl:for-each>
</xsl:if>
<xsl:for-each select="//base_dc:collection/@ror_id">
<oaf:relation relType="resultOrganization"
subRelType="affiliation"
relClass="hasAuthorInstitution"
targetType="organization">
<xsl:choose>
<xsl:when test="contains(.,'https://ror.org/')">
<xsl:value-of select="concat('ror_________::', normalize-space(.))" />
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat('ror_________::https://ror.org/', normalize-space(.))" />
</xsl:otherwise>
</xsl:choose>
</oaf:relation>
</xsl:for-each>
<xsl:for-each select="//base_dc:country">
<oaf:country><xsl:value-of select="vocabulary:clean(., 'dnet:countries')" /></oaf:country>
</xsl:for-each>
</metadata>
<xsl:copy-of select="//*[local-name() = 'about']" />
</record>
</xsl:template>
<xsl:template name="allElements">
<xsl:param name="sourceElement" />
<xsl:param name="targetElement" />
<xsl:for-each select="$sourceElement">
<xsl:element name="{$targetElement}">
<xsl:value-of select="normalize-space(.)" />
</xsl:element>
</xsl:for-each>
</xsl:template>
<xsl:template match="//*[local-name() = 'header']">
<xsl:if test="//oai:header/@status='deleted'">
<xsl:call-template name="terminate" />
</xsl:if>
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
<xsl:element name="dr:dateOfTransformation">
<xsl:value-of select="$transDate" />
</xsl:element>
</xsl:copy>
</xsl:template>
<xsl:template match="node()|@*">
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
</xsl:copy>
</xsl:template>
</xsl:stylesheet>
</CODE>
</SCRIPT>
</CONFIGURATION>
<STATUS />
<SECURITY_PARAMETERS />
</BODY>
</RESOURCE_PROFILE>

View File

@ -1,326 +0,0 @@
<RESOURCE_PROFILE>
<HEADER>
<RESOURCE_IDENTIFIER value="2ad0cdd9-c96c-484c-8b0e-ed56d86891fe_VHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZXMvVHJhbnNmb3JtYXRpb25SdWxlRFNSZXNvdXJjZVR5cGU=" />
<RESOURCE_TYPE value="TransformationRuleDSResourceType" />
<RESOURCE_KIND value="TransformationRuleDSResources" />
<RESOURCE_URI value="" />
<DATE_OF_CREATION value="2024-03-05T11:23:00+00:00" />
</HEADER>
<BODY>
<CONFIGURATION>
<SOURCE_METADATA_FORMAT interpretation="cleaned" layout="store" name="dc" />
<SINK_METADATA_FORMAT name="odf_hbase" />
<IMPORTED />
<SCRIPT>
<TITLE>xslt_base2odf_hadoop</TITLE>
<CODE>
<xsl:stylesheet xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:dateCleaner="http://eu/dnetlib/transform/dateISO" xmlns:base_dc="http://oai.base-search.net/base_dc/"
xmlns:datacite="http://datacite.org/schema/kernel-4" xmlns:dr="http://www.driver-repository.eu/namespace/dr" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:xsl="http://www.w3.org/1999/XSL/Transform" xmlns:vocabulary="http://eu/dnetlib/transform/clean" xmlns:oaf="http://namespace.openaire.eu/oaf"
xmlns:oai="http://www.openarchives.org/OAI/2.0/" xmlns:dri="http://www.driver-repository.eu/namespace/dri" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:dc="http://purl.org/dc/elements/1.1/"
exclude-result-prefixes="xsl vocabulary dateCleaner base_dc" version="2.0">
<xsl:param name="varOfficialName" />
<xsl:param name="varDataSourceId" />
<xsl:param name="varFP7" select="'corda_______::'" />
<xsl:param name="varH2020" select="'corda__h2020::'" />
<xsl:param name="repoCode" select="substring-before(//*[local-name() = 'header']/*[local-name()='recordIdentifier'], ':')" />
<xsl:param name="index" select="0" />
<xsl:param name="transDate" select="current-dateTime()" />
<xsl:template name="terminate">
<xsl:message terminate="yes">
record is not compliant, transformation is interrupted.
</xsl:message>
</xsl:template>
<xsl:template match="/">
<record>
<xsl:apply-templates select="//*[local-name() = 'header']" />
<!-- NOT USED
base_dc:global_id (I used oai:identifier)
base_dc:collection/text()
base_dc:continent
dc:coverage
dc:source
dc:relation
dc:type (I used //base_dc:typenorm)
dc:language (I used base_dc:lang)
base_dc:link (I used dc:identifier)
-->
<xsl:variable name="varBaseNormType" select="vocabulary:clean(//base_dc:typenorm, 'base:normalized_types')" />
<metadata>
<datacite:resource>
<xsl:for-each select="//base_dc:doi">
<datacite:identifier identifierType="DOI">
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<datacite:alternateIdentifiers>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and (not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/')))])">
<datacite:identifier alternateIdentifierType="url">
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))">
<datacite:identifier alternateIdentifierType="handle">
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])">
<datacite:identifier alternateIdentifierType='urn'>
<xsl:value-of select="." />
</datacite:identifier>
</xsl:for-each>
<datacite:identifier alternateIdentifierType="oai-original">
<xsl:value-of
select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'identifier']" />
</datacite:identifier>
</datacite:alternateIdentifiers>
<datacite:relatedIdentifiers />
<datacite:resourceType><xsl:value-of select="$varBaseNormType" /></datacite:resourceType>
<datacite:titles>
<xsl:for-each select="//dc:title">
<datacite:title>
<xsl:value-of select="normalize-space(.)" />
</datacite:title>
</xsl:for-each>
</datacite:titles>
<datacite:creators>
<xsl:for-each select="//dc:creator">
<xsl:variable name="author" select="normalize-space(.)" />
<datacite:creator>
<datacite:creatorName>
<xsl:value-of select="$author" />
</datacite:creatorName>
<xsl:for-each select="//base_dc:authod_id[normalize-space(./base_dc:creator_name) = $author]/base_dc:creator_id ">
<xsl:if test="contains(.,'https://orcid.org/')">
<nameIdentifier schemeURI="https://orcid.org/" nameIdentifierScheme="ORCID">
<xsl:value-of select="substring-after(., 'https://orcid.org/')" />
</nameIdentifier>
</xsl:if>
</xsl:for-each>
</datacite:creator>
</xsl:for-each>
</datacite:creators>
<datacite:contributors>
<xsl:for-each select="//dc:contributor">
<datacite:contributor>
<datacite:contributorName>
<xsl:value-of select="normalize-space(.)" />
</datacite:contributorName>
</datacite:contributor>
</xsl:for-each>
</datacite:contributors>
<datacite:descriptions>
<xsl:for-each select="//dc:description">
<datacite:description descriptionType="Abstract">
<xsl:value-of select="normalize-space(.)" />
</datacite:description>
</xsl:for-each>
</datacite:descriptions>
<datacite:subjects>
<xsl:for-each select="//dc:subject">
<datacite:subject>
<xsl:value-of select="normalize-space(.)" />
</datacite:subject>
</xsl:for-each>
<xsl:for-each select="//base_dc:classcode|//base_dc:autoclasscode">
<datacite:subject subjectScheme="{@type}" classificationCode="{normalize-space(.)}">
<!-- TODO the value should be obtained by the Code -->
<xsl:value-of select="normalize-space(.)" />
</datacite:subject>
</xsl:for-each>
</datacite:subjects>
<datacite:publisher>
<xsl:value-of select="normalize-space(//dc:publisher)" />
</datacite:publisher>
<datacite:publicationYear>
<xsl:value-of select="normalize-space(//base_dc:year)" />
</datacite:publicationYear>
<datacite:formats>
<xsl:for-each select="//dc:format">
<datacite:format>
<xsl:value-of select="normalize-space(.)" />
</datacite:format>
</xsl:for-each>
</datacite:formats>
<datacite:language>
<xsl:value-of select="vocabulary:clean( //base_dc:lang, 'dnet:languages')" />
</datacite:language>
<oaf:accessrights>
<xsl:if test="//base_dc:oa[.='1']">
<datacite:rights rightsURI="http://purl.org/coar/access_right/c_abf2">open access</datacite:rights>
</xsl:if>
<xsl:for-each select="//dc:rights|//base_dc:rightsnorm">
<datacite:rights><xsl:value-of select="vocabulary:clean(., 'dnet:access_modes')" /></datacite:rights>
</xsl:for-each>
</oaf:accessrights>
</datacite:resource>
<xsl:for-each select="//dc:relation">
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varFP7, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/fp7/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
<xsl:if test="matches(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', 'i')">
<oaf:projectid>
<xsl:value-of select="concat($varH2020, replace(normalize-space(.), '(info:eu-repo/grantagreement/ec/h2020/)(\d\d\d\d\d\d)(.*)', '$2', 'i'))" />
</oaf:projectid>
</xsl:if>
</xsl:for-each>
<dr:CobjCategory>
<xsl:variable name="varCobjCategory" select="vocabulary:clean($varBaseNormType, 'dnet:publication_resource')" />
<xsl:variable name="varSuperType" select="vocabulary:clean($varCobjCategory, 'dnet:result_typologies')" />
<xsl:attribute name="type" select="$varSuperType" />
<xsl:value-of select="$varCobjCategory" />
</dr:CobjCategory>
<oaf:accessrights>
<xsl:choose>
<xsl:when test="//base_dc:oa[.='1']">OPEN</xsl:when>
<xsl:when test="//base_dc:rightsnorm">
<xsl:value-of select="vocabulary:clean(//base_dc:rightsnorm, 'dnet:access_modes')" />
</xsl:when>
<xsl:when test="//dc:rights">
<xsl:value-of select="vocabulary:clean( //dc:rights, 'dnet:access_modes')" />
</xsl:when>
<xsl:otherwise>UNKNOWN</xsl:otherwise>
</xsl:choose>
</oaf:accessrights>
<xsl:for-each select="//base_dc:doi">
<oaf:identifier identifierType="doi">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each
select="distinct-values(//dc:identifier[starts-with(., 'http') and ( not(contains(., '://dx.doi.org/') or contains(., '://doi.org/') or contains(., '://hdl.handle.net/')))])">
<oaf:identifier identifierType="url">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'http') and contains(., '://hdl.handle.net/')]/substring-after(., 'hdl.handle.net/'))">
<oaf:identifier identifierType="handle">
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<xsl:for-each select="distinct-values(//dc:identifier[starts-with(., 'urn:nbn:nl:') or starts-with(., 'URN:NBN:NL:')])">
<oaf:identifier identifierType='urn'>
<xsl:value-of select="." />
</oaf:identifier>
</xsl:for-each>
<oaf:identifier identifierType="oai-original">
<xsl:value-of
select="//*[local-name() = 'about']/*[local-name() = 'provenance']//*[local-name() = 'originDescription' and not(./*[local-name() = 'originDescription'])]/*[local-name() = 'identifier']" />
</oaf:identifier>
<oaf:hostedBy>
<xsl:attribute name="name">
<xsl:value-of select="//base_dc:collname" />
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="concat('opendoar____::', //base_dc:collection/@opendoar_id)" />
</xsl:attribute>
</oaf:hostedBy>
<oaf:collectedFrom>
<xsl:attribute name="name">
<xsl:value-of select="$varOfficialName" />
</xsl:attribute>
<xsl:attribute name="id">
<xsl:value-of select="$varDataSourceId" />
</xsl:attribute>
</oaf:collectedFrom>
<oaf:dateAccepted>
<xsl:value-of select="dateCleaner:dateISO( //dc:date[1] )" />
</oaf:dateAccepted>
<xsl:if test="//base_dc:oa[.='1']">
<xsl:for-each select="//dc:relation[starts-with(., 'http')]">
<oaf:fulltext>
<xsl:value-of select="normalize-space(.)" />
</oaf:fulltext>
</xsl:for-each>
</xsl:if>
<xsl:for-each select="//base_dc:collection/@ror_id">
<oaf:relation relType="resultOrganization" subRelType="affiliation" relClass="hasAuthorInstitution" targetType="organization">
<xsl:choose>
<xsl:when test="contains(.,'https://ror.org/')">
<xsl:value-of select="concat('ror_________::', normalize-space(.))" />
</xsl:when>
<xsl:otherwise>
<xsl:value-of select="concat('ror_________::https://ror.org/', normalize-space(.))" />
</xsl:otherwise>
</xsl:choose>
</oaf:relation>
</xsl:for-each>
<xsl:for-each select="//base_dc:country">
<oaf:country><xsl:value-of select="vocabulary:clean(., 'dnet:countries')" /></oaf:country>
</xsl:for-each>
</metadata>
<xsl:copy-of select="//*[local-name() = 'about']" />
</record>
</xsl:template>
<xsl:template match="//*[local-name() = 'header']">
<xsl:if test="//oai:header/@status='deleted'">
<xsl:call-template name="terminate" />
</xsl:if>
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
<xsl:element name="dr:dateOfTransformation">
<xsl:value-of select="$transDate" />
</xsl:element>
</xsl:copy>
</xsl:template>
<xsl:template match="node()|@*">
<xsl:copy>
<xsl:apply-templates select="node()|@*" />
</xsl:copy>
</xsl:template>
</xsl:stylesheet>
</CODE>
</SCRIPT>
</CONFIGURATION>
<STATUS />
<SECURITY_PARAMETERS />
</BODY>
</RESOURCE_PROFILE>

View File

@ -1048,10 +1048,5 @@
"openaire_id": "re3data_____::r3d100010399",
"datacite_name": "ZEW Forschungsdatenzentrum",
"official_name": "ZEW Forschungsdatenzentrum"
},
"HBP.NEUROINF": {
"openaire_id": "fairsharing_::2975",
"datacite_name": "EBRAINS",
"official_name": "EBRAINS"
}
}

View File

@ -1,4 +1,4 @@
<workflow-app name="Transform_BioEntity_Workflow" xmlns="uri:oozie:workflow:0.5">
<workflow-app name="Transform_BioEntity_Workflow" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
@ -8,40 +8,19 @@
<name>database</name>
<description>the PDB Database Working Path</description>
</property>
<property>
<name>mdStoreOutputId</name>
<description>the identifier of the cleaned MDStore</description>
</property>
<property>
<name>mdStoreManagerURI</name>
<description>the path of the cleaned mdstore</description>
<name>targetPath</name>
<description>the Target Working dir path</description>
</property>
</parameters>
<start to="StartTransaction"/>
<start to="ConvertDB"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="StartTransaction">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>NEW_VERSION</arg>
<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
<capture-output/>
</java>
<ok to="ConvertDB"/>
<error to="RollBack"/>
</action>
<action name="ConvertDB">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
@ -62,48 +41,11 @@
<arg>--master</arg><arg>yarn</arg>
<arg>--dbPath</arg><arg>${sourcePath}</arg>
<arg>--database</arg><arg>${database}</arg>
<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
</spark>
<ok to="CommitVersion"/>
<error to="RollBack"/>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="CommitVersion">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>COMMIT</arg>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="RollBack">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>ROLLBACK</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="Kill"/>
<error to="Kill"/>
</action>
<end name="End"/>
<end name="End"/>
</workflow-app>

View File

@ -2,7 +2,7 @@
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"i", "paramLongName":"isLookupUrl", "paramDescription": "isLookupUrl", "paramRequired": true},
{"paramName":"w", "paramLongName":"workingPath", "paramDescription": "the path of the sequencial file to read", "paramRequired": true},
{"paramName":"mo", "paramLongName":"mdstoreOutputVersion", "paramDescription": "the oaf path ", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the oaf path ", "paramRequired": true},
{"paramName":"s", "paramLongName":"skipUpdate", "paramDescription": "skip update ", "paramRequired": false},
{"paramName":"h", "paramLongName":"hdfsServerUri", "paramDescription": "the working path ", "paramRequired": true}
]

View File

@ -2,5 +2,5 @@
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"db", "paramLongName":"database", "paramDescription": "should be PDB or UNIPROT", "paramRequired": true},
{"paramName":"p", "paramLongName":"dbPath", "paramDescription": "the path of the database to transform", "paramRequired": true},
{"paramName":"mo", "paramLongName":"mdstoreOutputVersion", "paramDescription": "the oaf path ", "paramRequired": true}
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the OAF target path ", "paramRequired": true}
]

View File

@ -1,20 +1,5 @@
[
{
"paramName": "mt",
"paramLongName": "master",
"paramDescription": "should be local or yarn",
"paramRequired": true
},
{
"paramName": "s",
"paramLongName": "sourcePath",
"paramDescription": "the source Path",
"paramRequired": true
},
{
"paramName": "mo",
"paramLongName": "mdstoreOutputVersion",
"paramDescription": "the oaf path ",
"paramRequired": true
}
{"paramName":"mt", "paramLongName":"master", "paramDescription": "should be local or yarn", "paramRequired": true},
{"paramName":"s", "paramLongName":"sourcePath","paramDescription": "the source Path", "paramRequired": true},
{"paramName":"t", "paramLongName":"targetPath","paramDescription": "the oaf path ", "paramRequired": true}
]

View File

@ -9,26 +9,34 @@
<description>the Working Path</description>
</property>
<property>
<name>mdStoreOutputId</name>
<description>the identifier of the cleaned MDStore</description>
<name>targetPath</name>
<description>the OAF MDStore Path</description>
</property>
<property>
<name>mdStoreManagerURI</name>
<description>the path of the cleaned mdstore</description>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
</property>
<property>
<name>sparkExecutorMemory</name>
<description>memory for individual executor</description>
</property>
<property>
<name>sparkExecutorCores</name>
<description>number of cores used by single executor</description>
</property>
<property>
<name>resumeFrom</name>
<value>CreateEBIDataSet</value>
<value>DownloadEBILinks</value>
<description>node to start</description>
</property>
</parameters>
<start to="StartTransaction"/>
<start to="resume_from"/>
<decision name="resume_from">
<switch>
<case to="DownloadEBILinks">${wf:conf('resumeFrom') eq 'DownloadEBILinks'}</case>
<case to="StartTransaction">${wf:conf('resumeFrom') eq 'CreateEBIDataSet'}</case>
<case to="CreateEBIDataSet">${wf:conf('resumeFrom') eq 'CreateEBIDataSet'}</case>
<default to="DownloadEBILinks"/>
</switch>
</decision>
@ -69,29 +77,9 @@
<move source="${sourcePath}/ebi_links_dataset" target="${sourcePath}/ebi_links_dataset_old"/>
<move source="${workingPath}/links_final" target="${sourcePath}/ebi_links_dataset"/>
</fs>
<ok to="StartTransaction"/>
<ok to="CreateEBIDataSet"/>
<error to="Kill"/>
</action>
<action name="StartTransaction">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>NEW_VERSION</arg>
<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
<capture-output/>
</java>
<ok to="CreateEBIDataSet"/>
<error to="RollBack"/>
</action>
<action name="CreateEBIDataSet">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
@ -107,49 +95,11 @@
${sparkExtraOPT}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/ebi_links_dataset</arg>
<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--master</arg><arg>yarn</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="CommitVersion">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>COMMIT</arg>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="RollBack">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>ROLLBACK</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="Kill"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,4 +1,4 @@
<workflow-app name="Download_Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5">
<workflow-app name="Download_Transform_Pubmed_Workflow" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>baselineWorkingPath</name>
@ -9,12 +9,8 @@
<description>The IS lookUp service endopoint</description>
</property>
<property>
<name>mdStoreOutputId</name>
<description>the identifier of the cleaned MDStore</description>
</property>
<property>
<name>mdStoreManagerURI</name>
<description>the path of the cleaned mdstore</description>
<name>targetPath</name>
<description>The target path</description>
</property>
<property>
<name>skipUpdate</name>
@ -23,31 +19,12 @@
</property>
</parameters>
<start to="StartTransaction"/>
<start to="ConvertDataset"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="StartTransaction">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>NEW_VERSION</arg>
<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
<capture-output/>
</java>
<ok to="ConvertDataset"/>
<error to="RollBack"/>
</action>
<action name="ConvertDataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
@ -66,52 +43,16 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--workingPath</arg><arg>${baselineWorkingPath}</arg>
<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--targetPath</arg><arg>${targetPath}</arg>
<arg>--master</arg><arg>yarn</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--hdfsServerUri</arg><arg>${nameNode}</arg>
<arg>--skipUpdate</arg><arg>${skipUpdate}</arg>
</spark>
<ok to="CommitVersion"/>
<error to="RollBack"/>
</action>
<action name="CommitVersion">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>COMMIT</arg>
<arg>--namenode</arg><arg>${nameNode}</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>
<action name="RollBack">
<java>
<configuration>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
<arg>--action</arg><arg>ROLLBACK</arg>
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
</java>
<ok to="Kill"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -2,15 +2,12 @@ package eu.dnetlib.dhp.sx.bio
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.collection.CollectionUtils
import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.schema.oaf.Oaf
import eu.dnetlib.dhp.sx.bio.BioDBToOAF.ScholixResolved
import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SparkSession}
import org.slf4j.{Logger, LoggerFactory}
import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
object SparkTransformBioDatabaseToOAF {
@ -28,13 +25,8 @@ object SparkTransformBioDatabaseToOAF {
val dbPath: String = parser.get("dbPath")
log.info("dbPath: {}", database)
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info("outputBasePath: {}", outputBasePath)
val targetPath: String = parser.get("targetPath")
log.info("targetPath: {}", database)
val spark: SparkSession =
SparkSession
@ -51,28 +43,24 @@ object SparkTransformBioDatabaseToOAF {
case "UNIPROT" =>
CollectionUtils.saveDataset(
spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.uniprotToOAF(i))),
s"$outputBasePath/$MDSTORE_DATA_PATH"
targetPath
)
case "PDB" =>
CollectionUtils.saveDataset(
spark.createDataset(sc.textFile(dbPath).flatMap(i => BioDBToOAF.pdbTOOaf(i))),
s"$outputBasePath/$MDSTORE_DATA_PATH"
targetPath
)
case "SCHOLIX" =>
CollectionUtils.saveDataset(
spark.read.load(dbPath).as[ScholixResolved].map(i => BioDBToOAF.scholixResolvedToOAF(i)),
s"$outputBasePath/$MDSTORE_DATA_PATH"
targetPath
)
case "CROSSREF_LINKS" =>
CollectionUtils.saveDataset(
spark.createDataset(sc.textFile(dbPath).map(i => BioDBToOAF.crossrefLinksToOaf(i))),
s"$outputBasePath/$MDSTORE_DATA_PATH"
targetPath
)
}
val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
val mdStoreSize = df.count
writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
}
}

View File

@ -2,12 +2,9 @@ package eu.dnetlib.dhp.sx.bio.ebi
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import eu.dnetlib.dhp.collection.CollectionUtils
import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
import eu.dnetlib.dhp.sx.bio.pubmed._
import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
import eu.dnetlib.dhp.utils.ISLookupClientFactory
import org.apache.commons.io.IOUtils
import org.apache.hadoop.conf.Configuration
@ -167,15 +164,11 @@ object SparkCreateBaselineDataFrame {
val workingPath = parser.get("workingPath")
log.info("workingPath: {}", workingPath)
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info("outputBasePath: {}", outputBasePath)
val targetPath = parser.get("targetPath")
log.info("targetPath: {}", targetPath)
val hdfsServerUri = parser.get("hdfsServerUri")
log.info("hdfsServerUri: {}", hdfsServerUri)
log.info("hdfsServerUri: {}", targetPath)
val skipUpdate = parser.get("skipUpdate")
log.info("skipUpdate: {}", skipUpdate)
@ -223,11 +216,8 @@ object SparkCreateBaselineDataFrame {
.map(a => PubMedToOaf.convert(a, vocabularies))
.as[Oaf]
.filter(p => p != null),
s"$outputBasePath/$MDSTORE_DATA_PATH"
targetPath
)
val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
val mdStoreSize = df.count
writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
}
}

View File

@ -9,9 +9,6 @@ import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql._
import org.slf4j.{Logger, LoggerFactory}
import eu.dnetlib.dhp.common.Constants.{MDSTORE_DATA_PATH, MDSTORE_SIZE_PATH}
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
import eu.dnetlib.dhp.utils.DHPUtils.{MAPPER, writeHdfsFile}
object SparkEBILinksToOaf {
@ -35,13 +32,8 @@ object SparkEBILinksToOaf {
import spark.implicits._
val sourcePath = parser.get("sourcePath")
log.info(s"sourcePath -> $sourcePath")
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
log.info("mdstoreOutputVersion: {}", mdstoreOutputVersion)
val cleanedMdStoreVersion = MAPPER.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
log.info("outputBasePath: {}", outputBasePath)
val targetPath = parser.get("targetPath")
log.info(s"targetPath -> $targetPath")
implicit val PMEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
val ebLinks: Dataset[EBILinkItem] = spark.read
@ -54,10 +46,7 @@ object SparkEBILinksToOaf {
.flatMap(j => BioDBToOAF.parse_ebi_links(j.links))
.filter(p => BioDBToOAF.EBITargetLinksFilter(p))
.flatMap(p => BioDBToOAF.convertEBILinksToOaf(p)),
s"$outputBasePath/$MDSTORE_DATA_PATH"
targetPath
)
val df = spark.read.text(s"$outputBasePath/$MDSTORE_DATA_PATH")
val mdStoreSize = df.count
writeHdfsFile(spark.sparkContext.hadoopConfiguration, s"$mdStoreSize", s"$outputBasePath/$MDSTORE_SIZE_PATH")
}
}

View File

@ -1,38 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.base;
import java.io.Serializable;
public class BaseCollectionInfo implements Serializable {
private static final long serialVersionUID = 5766333937429419647L;
private String id;
private String opendoarId;
private String rorId;
public String getId() {
return this.id;
}
public void setId(final String id) {
this.id = id;
}
public String getOpendoarId() {
return this.opendoarId;
}
public void setOpendoarId(final String opendoarId) {
this.opendoarId = opendoarId;
}
public String getRorId() {
return this.rorId;
}
public void setRorId(final String rorId) {
this.rorId = rorId;
}
}

View File

@ -1,184 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.base;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.concurrent.atomic.AtomicInteger;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.dom4j.Attribute;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.DocumentHelper;
import org.dom4j.Element;
import org.dom4j.Node;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.common.aggregation.AggregatorReport;
@Disabled
public class BaseCollectorIteratorTest {
@Test
void testImportFile() throws Exception {
long count = 0;
final BaseCollectorIterator iterator = new BaseCollectorIterator("base-sample.tar", new AggregatorReport());
final Map<String, Map<String, String>> collections = new HashMap<>();
final Map<String, AtomicInteger> fields = new HashMap<>();
final Set<String> types = new HashSet<>();
while (iterator.hasNext()) {
final Document record = DocumentHelper.parseText(iterator.next());
count++;
if ((count % 1000) == 0) {
System.out.println("# Read records: " + count);
}
// System.out.println(record.asXML());
for (final Object o : record.selectNodes("//*|//@*")) {
final String path = ((Node) o).getPath();
if (fields.containsKey(path)) {
fields.get(path).incrementAndGet();
} else {
fields.put(path, new AtomicInteger(1));
}
if (o instanceof Element) {
final Element n = (Element) o;
if ("collection".equals(n.getName())) {
final String collName = n.getText().trim();
if (StringUtils.isNotBlank(collName) && !collections.containsKey(collName)) {
final Map<String, String> collAttrs = new HashMap<>();
for (final Object ao : n.attributes()) {
collAttrs.put(((Attribute) ao).getName(), ((Attribute) ao).getValue());
}
collections.put(collName, collAttrs);
}
} else if ("type".equals(n.getName())) {
types.add(n.getText().trim());
}
}
}
}
final ObjectMapper mapper = new ObjectMapper();
for (final Entry<String, Map<String, String>> e : collections.entrySet()) {
System.out.println(e.getKey() + ": " + mapper.writeValueAsString(e.getValue()));
}
for (final Entry<String, AtomicInteger> e : fields.entrySet()) {
System.out.println(e.getKey() + ": " + e.getValue().get());
}
System.out.println("TYPES: ");
for (final String s : types) {
System.out.println(s);
}
assertEquals(30000, count);
}
@Test
public void testParquet() throws Exception {
final String xml = IOUtils.toString(getClass().getResourceAsStream("record.xml"));
final SparkSession spark = SparkSession.builder().master("local[*]").getOrCreate();
final List<BaseRecordInfo> ls = new ArrayList<>();
for (int i = 0; i < 10; i++) {
ls.add(extractInfo(xml));
}
final JavaRDD<BaseRecordInfo> rdd = JavaSparkContext
.fromSparkContext(spark.sparkContext())
.parallelize(ls);
final Dataset<BaseRecordInfo> df = spark
.createDataset(rdd.rdd(), Encoders.bean(BaseRecordInfo.class));
df.printSchema();
df.show(false);
}
private BaseRecordInfo extractInfo(final String s) {
try {
final Document record = DocumentHelper.parseText(s);
final BaseRecordInfo info = new BaseRecordInfo();
final Set<String> paths = new LinkedHashSet<>();
final Set<String> types = new LinkedHashSet<>();
final List<BaseCollectionInfo> colls = new ArrayList<>();
for (final Object o : record.selectNodes("//*|//@*")) {
paths.add(((Node) o).getPath());
if (o instanceof Element) {
final Element n = (Element) o;
final String nodeName = n.getName();
if ("collection".equals(nodeName)) {
final String collName = n.getText().trim();
if (StringUtils.isNotBlank(collName)) {
final BaseCollectionInfo coll = new BaseCollectionInfo();
coll.setId(collName);
coll.setOpendoarId(n.valueOf("@opendoar_id").trim());
coll.setRorId(n.valueOf("@ror_id").trim());
colls.add(coll);
}
} else if ("type".equals(nodeName)) {
types.add("TYPE: " + n.getText().trim());
} else if ("typenorm".equals(nodeName)) {
types.add("TYPE_NORM: " + n.getText().trim());
}
}
}
info.setId(record.valueOf("//*[local-name() = 'header']/*[local-name() = 'identifier']").trim());
info.getTypes().addAll(types);
info.getPaths().addAll(paths);
info.setCollections(colls);
return info;
} catch (final DocumentException e) {
throw new RuntimeException(e);
}
}
}

View File

@ -1,32 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.base;
import static org.junit.jupiter.api.Assertions.assertFalse;
import static org.junit.jupiter.api.Assertions.assertTrue;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
import org.apache.commons.io.IOUtils;
import org.junit.jupiter.api.Test;
class BaseCollectorPluginTest {
@Test
void testFilterXml() throws Exception {
final String xml = IOUtils.toString(getClass().getResourceAsStream("record.xml"));
final Set<String> validIds = new HashSet<>(Arrays.asList("opendoar____::1234", "opendoar____::4567"));
final Set<String> validTypes = new HashSet<>(Arrays.asList("1", "121"));
final Set<String> validTypes2 = new HashSet<>(Arrays.asList("1", "11"));
assertTrue(BaseCollectorPlugin.filterXml(xml, validIds, validTypes));
assertTrue(BaseCollectorPlugin.filterXml(xml, validIds, new HashSet<>()));
assertFalse(BaseCollectorPlugin.filterXml(xml, new HashSet<>(), validTypes));
assertFalse(BaseCollectorPlugin.filterXml(xml, validIds, validTypes2));
}
}

View File

@ -1,49 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.base;
import java.io.Serializable;
import java.util.ArrayList;
import java.util.List;
public class BaseRecordInfo implements Serializable {
private static final long serialVersionUID = -8848232018350074593L;
private String id;
private List<BaseCollectionInfo> collections = new ArrayList<>();
private List<String> paths = new ArrayList<>();
private List<String> types = new ArrayList<>();
public String getId() {
return this.id;
}
public void setId(final String id) {
this.id = id;
}
public List<String> getPaths() {
return this.paths;
}
public void setPaths(final List<String> paths) {
this.paths = paths;
}
public List<String> getTypes() {
return this.types;
}
public void setTypes(final List<String> types) {
this.types = types;
}
public List<BaseCollectionInfo> getCollections() {
return this.collections;
}
public void setCollections(final List<BaseCollectionInfo> collections) {
this.collections = collections;
}
}

View File

@ -1,77 +0,0 @@
package eu.dnetlib.dhp.collection.plugin.base;
import java.io.IOException;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.util.LongAccumulator;
import org.dom4j.io.SAXReader;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.mockito.junit.jupiter.MockitoExtension;
import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest;
import eu.dnetlib.dhp.aggregation.common.AggregationCounter;
import eu.dnetlib.dhp.schema.mdstore.MetadataRecord;
import eu.dnetlib.dhp.schema.mdstore.Provenance;
import eu.dnetlib.dhp.transformation.xslt.XSLTTransformationFunction;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
// @Disabled
@ExtendWith(MockitoExtension.class)
public class BaseTransfomationTest extends AbstractVocabularyTest {
private SparkConf sparkConf;
@BeforeEach
public void setUp() throws IOException, ISLookUpException {
setUpVocabulary();
this.sparkConf = new SparkConf();
this.sparkConf.setMaster("local[*]");
this.sparkConf.set("spark.driver.host", "localhost");
this.sparkConf.set("spark.ui.enabled", "false");
}
@Test
void testBase2ODF() throws Exception {
final MetadataRecord mr = new MetadataRecord();
mr.setProvenance(new Provenance("DSID", "DSNAME", "PREFIX"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("record.xml")));
final XSLTTransformationFunction tr = loadTransformationRule("xml/base2odf.transformationRule.xml");
final MetadataRecord result = tr.call(mr);
System.out.println(result.getBody());
}
@Test
void testBase2OAF() throws Exception {
final MetadataRecord mr = new MetadataRecord();
mr.setProvenance(new Provenance("DSID", "DSNAME", "PREFIX"));
mr.setBody(IOUtils.toString(getClass().getResourceAsStream("record.xml")));
final XSLTTransformationFunction tr = loadTransformationRule("xml/base2oaf.transformationRule.xml");
final MetadataRecord result = tr.call(mr);
System.out.println(result.getBody());
}
private XSLTTransformationFunction loadTransformationRule(final String path) throws Exception {
final String xslt = new SAXReader()
.read(this.getClass().getResourceAsStream(path))
.selectSingleNode("//CODE/*")
.asXML();
final LongAccumulator la = new LongAccumulator();
return new XSLTTransformationFunction(new AggregationCounter(la, la, la), xslt, 0, this.vocabularies);
}
}

View File

@ -1,58 +0,0 @@
<record>
<header xmlns="http://www.openarchives.org/OAI/2.0/">
<identifier>ftdoajarticles:oai:doaj.org/article:e2d5b5126b2d4e479933cc7f9a9ae0c1</identifier>
<datestamp>2022-12-31T11:48:55Z</datestamp>
</header>
<metadata xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:base_dc="http://oai.base-search.net/base_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/">
<base_dc:dc xsi:schemaLocation="http://oai.base-search.net/base_dc/ http://oai.base-search.net/base_dc/base_dc.xsd">
<base_dc:global_id>ftdoajarticles:oai:doaj.org/article:e2d5b5126b2d4e479933cc7f9a9ae0c1</base_dc:global_id>
<base_dc:continent>cww</base_dc:continent>
<base_dc:country>org</base_dc:country>
<base_dc:collection opendoar_id="1234" ror_id="ror1234">ftdoajarticles</base_dc:collection>
<base_dc:collname>TEST REPO</base_dc:collname>
<dc:title>Assessment of cultural heritage: the legislative and methodological framework of Russian Federation</dc:title>
<dc:creator>ALBU, Svetlana</dc:creator>
<dc:creator>LEȘAN, Anna</dc:creator>
<dc:subject>architectural heritage</dc:subject>
<dc:subject>evaluation of architectural heritage</dc:subject>
<dc:subject>types of values</dc:subject>
<dc:subject>experience of russian federation</dc:subject>
<dc:subject>Social Sciences</dc:subject>
<dc:subject>H</dc:subject>
<dc:description>Architectural heritage is the real estate inheritance by population of a country becoming an extremely valuable and specific category, preserving and capitalizing on those assets requires considerable effort. The state does not have sufficient means to maintain and preserve cultural heritage, as a result it is included in the civil circuit. The transfer of property right or of some partial rights over the architectural patrimony is accompanied by the necessity to estimate the value of goods. In this article, the authors examine the experience of Russian Federation (one of the largest countries with a huge architectural heritage) on the legislative framework of architectural and methodological heritage of architectural heritage assessment. The particularities of cultural assets valuation compared to other categories of real estate are examined, as well as the methodological aspects (types of values, methods applied in valuation, approaches according to the purpose of valuation) regarding the valuation of real estate with architectural value in Russian Federation.</dc:description>
<dc:publisher>Technical University of Moldova</dc:publisher>
<dc:date>2020-09-01T00:00:00Z</dc:date>
<base_dc:year>2020</base_dc:year>
<dc:type>article</dc:type>
<base_dc:typenorm>121</base_dc:typenorm>
<dc:identifier>https://doi.org/10.5281/zenodo.3971988</dc:identifier>
<dc:identifier>https://doaj.org/article/e2d5b5126b2d4e479933cc7f9a9ae0c1</dc:identifier>
<base_dc:link>https://doi.org/10.5281/zenodo.3971988</base_dc:link>
<dc:source>Journal of Social Sciences, Vol 3, Iss 3, Pp 134-143 (2020)</dc:source>
<dc:language>EN</dc:language>
<dc:language>FR</dc:language>
<dc:language>RO</dc:language>
<dc:relation>http://ibn.idsi.md/sites/default/files/imag_file/JSS-3-2020_134-143.pdf</dc:relation>
<dc:relation>https://doaj.org/toc/2587-3490</dc:relation>
<dc:relation>https://doaj.org/toc/2587-3504</dc:relation>
<dc:relation>doi:10.5281/zenodo.3971988</dc:relation>
<dc:relation>2587-3490</dc:relation>
<dc:relation>2587-3504</dc:relation>
<dc:relation>https://doaj.org/article/e2d5b5126b2d4e479933cc7f9a9ae0c1</dc:relation>
<base_dc:autoclasscode type="ddc">720</base_dc:autoclasscode>
<base_dc:authod_id>
<base_dc:creator_name>ALBU, Svetlana</base_dc:creator_name>
<base_dc:creator_id>https://orcid.org/0000-0002-8648-950X</base_dc:creator_id>
</base_dc:authod_id>
<base_dc:authod_id>
<base_dc:creator_name>LEȘAN, Anna</base_dc:creator_name>
<base_dc:creator_id>https://orcid.org/0000-0003-3284-0525</base_dc:creator_id>
</base_dc:authod_id>
<base_dc:doi>https://doi.org/10.5281/zenodo.3971988</base_dc:doi>
<base_dc:oa>1</base_dc:oa>
<base_dc:lang>eng</base_dc:lang>
<base_dc:lang>fre</base_dc:lang>
<base_dc:lang>rum</base_dc:lang>
</base_dc:dc>
</metadata>
</record>

View File

@ -1496,30 +1496,4 @@ cnr:institutes @=@ __CDS131__ @=@ IBE - Istituto per la BioEconomia
cnr:institutes @=@ https://ror.org/0263zy895 @=@ CDS132
cnr:institutes @=@ https://ror.org/0263zy895 @=@ SCITEC - Istituto di Scienze e Tecnologie Chimiche \"Giulio Natta\"
cnr:institutes @=@ __CDS133__ @=@ CDS133
cnr:institutes @=@ __CDS133__ @=@ STEMS - Istituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili
base:normalized_types @=@ Text @=@ 1
base:normalized_types @=@ Book @=@ 11
base:normalized_types @=@ Book part @=@ 111
base:normalized_types @=@ Journal/Newspaper @=@ 12
base:normalized_types @=@ Article contribution @=@ 121
base:normalized_types @=@ Other non-article @=@ 122
base:normalized_types @=@ Conference object @=@ 13
base:normalized_types @=@ Report @=@ 14
base:normalized_types @=@ Review @=@ 15
base:normalized_types @=@ Course material @=@ 16
base:normalized_types @=@ Lecture @=@ 17
base:normalized_types @=@ Thesis @=@ 18
base:normalized_types @=@ Bachelor's thesis @=@ 181
base:normalized_types @=@ Master's thesis @=@ 182
base:normalized_types @=@ Doctoral and postdoctoral thesis @=@ 183
base:normalized_types @=@ Manuscript @=@ 19
base:normalized_types @=@ Patent @=@ 1A
base:normalized_types @=@ Musical notation @=@ 2
base:normalized_types @=@ Map @=@ 3
base:normalized_types @=@ Audio @=@ 4
base:normalized_types @=@ Image/Video @=@ 5
base:normalized_types @=@ Still image @=@ 51
base:normalized_types @=@ Moving image/Video @=@ 52
base:normalized_types @=@ Software @=@ 6
base:normalized_types @=@ Dataset @=@ 7
base:normalized_types @=@ Unknown @=@ F
cnr:institutes @=@ __CDS133__ @=@ STEMS - Istituto di Scienze e Tecnologie per l'Energia e la Mobilità Sostenibili

View File

@ -1210,29 +1210,4 @@ cnr:institutes @=@ cnr:institutes @=@ __CDS130__ @=@ __CDS130__
cnr:institutes @=@ cnr:institutes @=@ __CDS131__ @=@ __CDS131__
cnr:institutes @=@ cnr:institutes @=@ https://ror.org/0263zy895 @=@ https://ror.org/0263zy895
cnr:institutes @=@ cnr:institutes @=@ __CDS133__ @=@ __CDS133__
base:normalized_types @=@ base:normalized_types @=@ Text @=@ Text
base:normalized_types @=@ base:normalized_types @=@ Book @=@ Book
base:normalized_types @=@ base:normalized_types @=@ Book part @=@ Book part
base:normalized_types @=@ base:normalized_types @=@ Journal/Newspaper @=@ Journal/Newspaper
base:normalized_types @=@ base:normalized_types @=@ Article contribution @=@ Article contribution
base:normalized_types @=@ base:normalized_types @=@ Other non-article @=@ Other non-article
base:normalized_types @=@ base:normalized_types @=@ Conference object @=@ Conference object
base:normalized_types @=@ base:normalized_types @=@ Report @=@ Report
base:normalized_types @=@ base:normalized_types @=@ Review @=@ Review
base:normalized_types @=@ base:normalized_types @=@ Course material @=@ Course material
base:normalized_types @=@ base:normalized_types @=@ Lecture @=@ Lecture
base:normalized_types @=@ base:normalized_types @=@ Thesis @=@ Thesis
base:normalized_types @=@ base:normalized_types @=@ Bachelor's thesis @=@ Bachelor's thesis
base:normalized_types @=@ base:normalized_types @=@ Master's thesis @=@ Master's thesis
base:normalized_types @=@ base:normalized_types @=@ Doctoral and postdoctoral thesis @=@ Doctoral and postdoctoral thesis
base:normalized_types @=@ base:normalized_types @=@ Manuscript @=@ Manuscript
base:normalized_types @=@ base:normalized_types @=@ Patent @=@ Patent
base:normalized_types @=@ base:normalized_types @=@ Musical notation @=@ Musical notation
base:normalized_types @=@ base:normalized_types @=@ Map @=@ Map
base:normalized_types @=@ base:normalized_types @=@ Audio @=@ Audio
base:normalized_types @=@ base:normalized_types @=@ Image/Video @=@ Image/Video
base:normalized_types @=@ base:normalized_types @=@ Still image @=@ Still image
base:normalized_types @=@ base:normalized_types @=@ Moving image/Video @=@ Moving image/Video
base:normalized_types @=@ base:normalized_types @=@ Software @=@ Software
base:normalized_types @=@ base:normalized_types @=@ Dataset @=@ Dataset
base:normalized_types @=@ base:normalized_types @=@ Unknown @=@ Unknown

View File

@ -101,10 +101,6 @@ abstract class AbstractSparkAction implements Serializable {
return SparkSession.builder().config(conf).getOrCreate();
}
protected static SparkSession getSparkWithHiveSession(SparkConf conf) {
return SparkSession.builder().enableHiveSupport().config(conf).getOrCreate();
}
protected static <T> void save(Dataset<T> dataset, String outPath, SaveMode mode) {
dataset.write().option("compression", "gzip").mode(mode).json(outPath);
}

View File

@ -1,212 +1,128 @@
package eu.dnetlib.dhp.oa.dedup;
import java.lang.reflect.InvocationTargetException;
import java.util.*;
import java.util.stream.Stream;
import java.util.stream.Collectors;
import org.apache.commons.beanutils.BeanUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.ReduceFunction;
import org.apache.spark.sql.*;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import com.fasterxml.jackson.databind.DeserializationFeature;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.collect.Lists;
import eu.dnetlib.dhp.oa.dedup.model.Identifier;
import eu.dnetlib.dhp.oa.merge.AuthorMerger;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.Author;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.*;
import scala.Tuple2;
import scala.Tuple3;
import scala.collection.JavaConversions;
public class DedupRecordFactory {
public static final class DedupRecordReduceState {
public final String dedupId;
public final ArrayList<String> aliases = new ArrayList<>();
public final HashSet<String> acceptanceDate = new HashSet<>();
public OafEntity entity;
public DedupRecordReduceState(String dedupId, String id, OafEntity entity) {
this.dedupId = dedupId;
this.entity = entity;
if (entity == null) {
aliases.add(id);
} else {
if (Result.class.isAssignableFrom(entity.getClass())) {
Result result = (Result) entity;
if (result.getDateofacceptance() != null
&& StringUtils.isNotBlank(result.getDateofacceptance().getValue())) {
acceptanceDate.add(result.getDateofacceptance().getValue());
}
}
}
}
public String getDedupId() {
return dedupId;
}
}
private static final int MAX_ACCEPTANCE_DATE = 20;
protected static final ObjectMapper OBJECT_MAPPER = new ObjectMapper()
.configure(DeserializationFeature.FAIL_ON_UNKNOWN_PROPERTIES, false);
private DedupRecordFactory() {
}
public static Dataset<OafEntity> createDedupRecord(
public static <T extends OafEntity> Dataset<T> createDedupRecord(
final SparkSession spark,
final DataInfo dataInfo,
final String mergeRelsInputPath,
final String entitiesInputPath,
final Class<OafEntity> clazz) {
final Class<T> clazz) {
final long ts = System.currentTimeMillis();
final Encoder<OafEntity> beanEncoder = Encoders.bean(clazz);
final Encoder<OafEntity> kryoEncoder = Encoders.kryo(clazz);
long ts = System.currentTimeMillis();
// <id, json_entity>
Dataset<Row> entities = spark
Dataset<Tuple2<String, T>> entities = spark
.read()
.schema(Encoders.bean(clazz).schema())
.json(entitiesInputPath)
.as(beanEncoder)
.textFile(entitiesInputPath)
.map(
(MapFunction<OafEntity, Tuple2<String, OafEntity>>) entity -> {
(MapFunction<String, Tuple2<String, T>>) it -> {
T entity = OBJECT_MAPPER.readValue(it, clazz);
return new Tuple2<>(entity.getId(), entity);
},
Encoders.tuple(Encoders.STRING(), kryoEncoder))
.selectExpr("_1 AS id", "_2 AS kryoObject");
Encoders.tuple(Encoders.STRING(), Encoders.kryo(clazz)));
// <source, target>: source is the dedup_id, target is the id of the mergedIn
Dataset<Row> mergeRels = spark
Dataset<Tuple2<String, String>> mergeRels = spark
.read()
.load(mergeRelsInputPath)
.as(Encoders.bean(Relation.class))
.where("relClass == 'merges'")
.selectExpr("source as dedupId", "target as id");
.map(
(MapFunction<Relation, Tuple2<String, String>>) r -> new Tuple2<>(r.getSource(), r.getTarget()),
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
return mergeRels
.join(entities, JavaConversions.asScalaBuffer(Collections.singletonList("id")), "left")
.select("dedupId", "id", "kryoObject")
.as(Encoders.tuple(Encoders.STRING(), Encoders.STRING(), kryoEncoder))
.joinWith(entities, mergeRels.col("_2").equalTo(entities.col("_1")), "inner")
.map(
(MapFunction<Tuple3<String, String, OafEntity>, DedupRecordReduceState>) t -> new DedupRecordReduceState(
t._1(), t._2(), t._3()),
Encoders.kryo(DedupRecordReduceState.class))
(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, T>>, Tuple2<String, T>>) value -> new Tuple2<>(
value._1()._1(), value._2()._2()),
Encoders.tuple(Encoders.STRING(), Encoders.kryo(clazz)))
.groupByKey(
(MapFunction<DedupRecordReduceState, String>) DedupRecordReduceState::getDedupId, Encoders.STRING())
.reduceGroups(
(ReduceFunction<DedupRecordReduceState>) (t1, t2) -> {
if (t1.entity == null) {
t2.aliases.addAll(t1.aliases);
return t2;
(MapFunction<Tuple2<String, T>, String>) Tuple2::_1, Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Tuple2<String, T>, T>) (key,
values) -> entityMerger(key, values, ts, dataInfo, clazz),
Encoders.bean(clazz));
}
public static <T extends OafEntity> T entityMerger(
String id, Iterator<Tuple2<String, T>> entities, long ts, DataInfo dataInfo, Class<T> clazz)
throws IllegalAccessException, InstantiationException, InvocationTargetException {
final Comparator<Identifier<T>> idComparator = new IdentifierComparator<>();
final LinkedList<T> entityList = Lists
.newArrayList(entities)
.stream()
.map(t -> Identifier.newInstance(t._2()))
.sorted(idComparator)
.map(Identifier::getEntity)
.collect(Collectors.toCollection(LinkedList::new));
final T entity = clazz.newInstance();
final T first = entityList.removeFirst();
BeanUtils.copyProperties(entity, first);
final List<List<Author>> authors = Lists.newArrayList();
entityList
.forEach(
duplicate -> {
entity.mergeFrom(duplicate);
if (ModelSupport.isSubClass(duplicate, Result.class)) {
Result r1 = (Result) duplicate;
Optional
.ofNullable(r1.getAuthor())
.ifPresent(a -> authors.add(a));
}
if (t1.acceptanceDate.size() < MAX_ACCEPTANCE_DATE) {
t1.acceptanceDate.addAll(t2.acceptanceDate);
}
t1.aliases.addAll(t2.aliases);
t1.entity = reduceEntity(t1.entity, t2.entity);
});
return t1;
})
.flatMap((FlatMapFunction<Tuple2<String, DedupRecordReduceState>, OafEntity>) t -> {
String dedupId = t._1();
DedupRecordReduceState agg = t._2();
// set authors and date
if (ModelSupport.isSubClass(entity, Result.class)) {
Optional
.ofNullable(((Result) entity).getAuthor())
.ifPresent(a -> authors.add(a));
if (agg.acceptanceDate.size() >= MAX_ACCEPTANCE_DATE) {
return Collections.emptyIterator();
}
return Stream
.concat(
Stream
.of(agg.getDedupId())
.map(id -> createDedupOafEntity(id, agg.entity, dataInfo, ts)),
agg.aliases
.stream()
.map(id -> createMergedDedupAliasOafEntity(id, agg.entity, dataInfo, ts)))
.iterator();
}, beanEncoder);
}
private static OafEntity createDedupOafEntity(String id, OafEntity base, DataInfo dataInfo, long ts) {
try {
OafEntity res = (OafEntity) BeanUtils.cloneBean(base);
res.setId(id);
res.setDataInfo(dataInfo);
res.setLastupdatetimestamp(ts);
return res;
} catch (Exception e) {
throw new RuntimeException(e);
}
}
private static OafEntity createMergedDedupAliasOafEntity(String id, OafEntity base, DataInfo dataInfo, long ts) {
try {
OafEntity res = createDedupOafEntity(id, base, dataInfo, ts);
DataInfo ds = (DataInfo) BeanUtils.cloneBean(dataInfo);
ds.setDeletedbyinference(true);
res.setDataInfo(ds);
return res;
} catch (Exception e) {
throw new RuntimeException(e);
}
}
private static OafEntity reduceEntity(OafEntity entity, OafEntity duplicate) {
if (duplicate == null) {
return entity;
((Result) entity).setAuthor(AuthorMerger.merge(authors));
}
int compare = new IdentifierComparator<>()
.compare(Identifier.newInstance(entity), Identifier.newInstance(duplicate));
entity.setId(id);
if (compare > 0) {
OafEntity swap = duplicate;
duplicate = entity;
entity = swap;
}
entity.mergeFrom(duplicate);
if (ModelSupport.isSubClass(duplicate, Result.class)) {
Result re = (Result) entity;
Result rd = (Result) duplicate;
List<List<Author>> authors = new ArrayList<>();
if (re.getAuthor() != null) {
authors.add(re.getAuthor());
}
if (rd.getAuthor() != null) {
authors.add(rd.getAuthor());
}
re.setAuthor(AuthorMerger.merge(authors));
}
entity.setLastupdatetimestamp(ts);
entity.setDataInfo(dataInfo);
return entity;
}
public static <T extends OafEntity> T entityMerger(
String id, Iterator<Tuple2<String, T>> entities, long ts, DataInfo dataInfo, Class<T> clazz) {
T base = entities.next()._2();
while (entities.hasNext()) {
T duplicate = entities.next()._2();
if (duplicate != null)
base = (T) reduceEntity(base, duplicate);
}
base.setId(id);
base.setDataInfo(dataInfo);
base.setLastupdatetimestamp(ts);
return base;
}
}

View File

@ -1,7 +1,6 @@
package eu.dnetlib.dhp.oa.dedup;
import static eu.dnetlib.dhp.utils.DHPUtils.md5;
import static org.apache.commons.lang3.StringUtils.substringAfter;
import static org.apache.commons.lang3.StringUtils.substringBefore;
@ -15,36 +14,33 @@ import eu.dnetlib.dhp.schema.oaf.utils.PidType;
public class IdGenerator implements Serializable {
// pick the best pid from the list (consider date and pidtype)
public static <T extends OafEntity> String generate(List<? extends Identifier> pids, String defaultID) {
public static <T extends OafEntity> String generate(List<Identifier<T>> pids, String defaultID) {
if (pids == null || pids.isEmpty())
return defaultID;
return generateId(pids);
}
private static String generateId(List<? extends Identifier> pids) {
Identifier bp = pids
private static <T extends OafEntity> String generateId(List<Identifier<T>> pids) {
Identifier<T> bp = pids
.stream()
.min(Identifier::compareTo)
.orElseThrow(() -> new IllegalStateException("unable to generate id"));
return generate(bp.getOriginalID());
}
public static String generate(String originalId) {
String prefix = substringBefore(originalId, "|");
String ns = substringBefore(substringAfter(originalId, "|"), "::");
String suffix = substringAfter(originalId, "::");
String prefix = substringBefore(bp.getOriginalID(), "|");
String ns = substringBefore(substringAfter(bp.getOriginalID(), "|"), "::");
String suffix = substringAfter(bp.getOriginalID(), "::");
final String pidType = substringBefore(ns, "_");
if (PidType.isValid(pidType)) {
return prefix + "|" + dedupify(ns) + "::" + suffix;
} else {
return prefix + "|dedup_wf_002::" + md5(originalId); // hash the whole originalId to avoid collisions
return prefix + "|dedup_wf_001::" + suffix;
}
}
private static String dedupify(String ns) {
StringBuilder prefix;
if (PidType.valueOf(substringBefore(ns, "_")) == PidType.openorgs) {
prefix = new StringBuilder(substringBefore(ns, "_"));
@ -57,4 +53,5 @@ public class IdGenerator implements Serializable {
}
return prefix.substring(0, 12);
}
}

View File

@ -3,47 +3,49 @@ package eu.dnetlib.dhp.oa.dedup;
import static eu.dnetlib.dhp.schema.common.ModelConstants.DNET_PROVENANCE_ACTIONS;
import static eu.dnetlib.dhp.schema.common.ModelConstants.PROVENANCE_DEDUP;
import static org.apache.spark.sql.functions.*;
import java.io.IOException;
import java.time.LocalDate;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Optional;
import java.util.*;
import java.util.stream.Collectors;
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.FlatMapFunction;
import org.apache.spark.sql.*;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.graphx.Edge;
import org.apache.spark.rdd.RDD;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.catalyst.encoders.RowEncoder;
import org.apache.spark.sql.expressions.UserDefinedFunction;
import org.apache.spark.sql.expressions.Window;
import org.apache.spark.sql.expressions.WindowSpec;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.StructType;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.dom4j.DocumentException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.xml.sax.SAXException;
import com.google.common.collect.Lists;
import com.google.common.hash.Hashing;
import com.kwartile.lib.cc.ConnectedComponent;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.dedup.graph.ConnectedComponent;
import eu.dnetlib.dhp.oa.dedup.graph.GraphProcessor;
import eu.dnetlib.dhp.oa.dedup.model.Identifier;
import eu.dnetlib.dhp.schema.common.EntityType;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.common.ModelSupport;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.PidType;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
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 scala.Tuple3;
import scala.collection.JavaConversions;
import eu.dnetlib.pace.util.MapDocumentUtil;
import scala.Tuple2;
public class SparkCreateMergeRels extends AbstractSparkAction {
@ -66,12 +68,10 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
log.info("isLookupUrl {}", isLookUpUrl);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hiveMetastoreUris"));
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
conf.registerKryoClasses(ModelSupport.getOafModelClasses());
new SparkCreateMergeRels(parser, getSparkWithHiveSession(conf))
new SparkCreateMergeRels(parser, getSparkSession(conf))
.run(ISLookupClientFactory.getLookUpService(isLookUpUrl));
}
@ -87,15 +87,14 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
.ofNullable(parser.get("cutConnectedComponent"))
.map(Integer::valueOf)
.orElse(0);
final String pivotHistoryDatabase = parser.get("pivotHistoryDatabase");
log.info("connected component cut: '{}'", cut);
log.info("graphBasePath: '{}'", graphBasePath);
log.info("isLookUpUrl: '{}'", isLookUpUrl);
log.info("actionSetId: '{}'", actionSetId);
log.info("workingPath: '{}'", workingPath);
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
for (DedupConfig dedupConf : getConfigurations(isLookUpService, actionSetId)) {
final String subEntity = dedupConf.getWf().getSubEntityValue();
final Class<OafEntity> clazz = ModelSupport.entityTypes.get(EntityType.valueOf(subEntity));
@ -107,173 +106,113 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
final String mergeRelPath = DedupUtility.createMergeRelPath(workingPath, actionSetId, subEntity);
final Dataset<Row> simRels = spark
.read()
.load(DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity))
.select("source", "target");
UserDefinedFunction hashUDF = functions
.udf(
(String s) -> hash(s), DataTypes.LongType);
// <hash(id), id>
Dataset<Row> vertexIdMap = simRels
.selectExpr("source as id")
.union(simRels.selectExpr("target as id"))
.distinct()
.withColumn("vertexId", hashUDF.apply(functions.col("id")));
JavaPairRDD<Object, String> vertexes = createVertexes(sc, graphBasePath, subEntity, dedupConf);
// transform simrels into pairs of numeric ids
final Dataset<Row> edges = spark
final RDD<Edge<String>> edgeRdd = spark
.read()
.load(DedupUtility.createSimRelPath(workingPath, actionSetId, subEntity))
.select("source", "target")
.withColumn("source", hashUDF.apply(functions.col("source")))
.withColumn("target", hashUDF.apply(functions.col("target")));
.as(Encoders.bean(Relation.class))
.javaRDD()
.map(it -> new Edge<>(hash(it.getSource()), hash(it.getTarget()), it.getRelClass()))
.rdd();
// resolve connected components
// ("vertexId", "groupId")
Dataset<Row> cliques = ConnectedComponent
.runOnPairs(edges, 50, spark);
// transform "vertexId" back to its original string value
// groupId is kept numeric as its string value is not used
// ("id", "groupId")
Dataset<Row> rawMergeRels = cliques
.join(vertexIdMap, JavaConversions.asScalaBuffer(Collections.singletonList("vertexId")), "inner")
.drop("vertexId")
.distinct();
// empty dataframe if historydatabase is not used
Dataset<Row> pivotHistory = spark
Dataset<Tuple2<String, String>> rawMergeRels = spark
.createDataset(
Collections.emptyList(),
RowEncoder
.apply(StructType.fromDDL("id STRING, lastUsage STRING")));
GraphProcessor
.findCCs(vertexes.rdd(), edgeRdd, maxIterations, cut)
.toJavaRDD()
.filter(k -> k.getIds().size() > 1)
.flatMap(this::ccToRels)
.rdd(),
Encoders.tuple(Encoders.STRING(), Encoders.STRING()));
if (StringUtils.isNotBlank(pivotHistoryDatabase)) {
pivotHistory = spark
.read()
.table(pivotHistoryDatabase + "." + subEntity)
.selectExpr("id", "lastUsage");
}
// depending on resulttype collectefrom and dateofacceptance are evaluated differently
String collectedfromExpr = "false AS collectedfrom";
String dateExpr = "'' AS date";
if (Result.class.isAssignableFrom(clazz)) {
if (Publication.class.isAssignableFrom(clazz)) {
collectedfromExpr = "array_contains(collectedfrom.key, '" + ModelConstants.CROSSREF_ID
+ "') AS collectedfrom";
} else if (eu.dnetlib.dhp.schema.oaf.Dataset.class.isAssignableFrom(clazz)) {
collectedfromExpr = "array_contains(collectedfrom.key, '" + ModelConstants.DATACITE_ID
+ "') AS collectedfrom";
}
dateExpr = "dateofacceptance.value AS date";
}
// cap pidType at w3id as from there on they are considered equal
UserDefinedFunction mapPid = udf(
(String s) -> Math.min(PidType.tryValueOf(s).ordinal(), PidType.w3id.ordinal()), DataTypes.IntegerType);
UserDefinedFunction validDate = udf((String date) -> {
if (StringUtils.isNotBlank(date)
&& date.matches(DatePicker.DATE_PATTERN) && DatePicker.inRange(date)) {
return date;
}
return LocalDate.now().plusWeeks(1).toString();
}, DataTypes.StringType);
Dataset<Row> pivotingData = spark
Dataset<Tuple2<String, OafEntity>> entities = spark
.read()
.schema(Encoders.bean(clazz).schema())
.json(DedupUtility.createEntityPath(graphBasePath, subEntity))
.selectExpr(
"id",
"regexp_extract(id, '^\\\\d+\\\\|([^_]+).*::', 1) AS pidType",
collectedfromExpr,
dateExpr)
.withColumn("pidType", mapPid.apply(col("pidType"))) // ordinal of pid type
.withColumn("date", validDate.apply(col("date")));
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.map(
(MapFunction<String, Tuple2<String, OafEntity>>) it -> {
OafEntity entity = OBJECT_MAPPER.readValue(it, clazz);
return new Tuple2<>(entity.getId(), entity);
},
Encoders.tuple(Encoders.STRING(), Encoders.kryo(clazz)));
// ordering to selected pivot id
WindowSpec w = Window
.partitionBy("groupId")
.orderBy(
col("lastUsage").desc_nulls_last(),
col("pidType").asc_nulls_last(),
col("collectedfrom").desc_nulls_last(),
col("date").asc_nulls_last(),
col("id").asc_nulls_last());
Dataset<Relation> output = rawMergeRels
.join(pivotHistory, JavaConversions.asScalaBuffer(Collections.singletonList("id")), "full")
.join(pivotingData, JavaConversions.asScalaBuffer(Collections.singletonList("id")), "left")
.withColumn("pivot", functions.first("id").over(w))
.withColumn("position", functions.row_number().over(w))
Dataset<Relation> mergeRels = rawMergeRels
.joinWith(entities, rawMergeRels.col("_2").equalTo(entities.col("_1")), "inner")
// <tmp_source,target>,<target,entity>
.map(
(MapFunction<Tuple2<Tuple2<String, String>, Tuple2<String, OafEntity>>, Tuple2<String, OafEntity>>) value -> new Tuple2<>(
value._1()._1(), value._2()._2()),
Encoders.tuple(Encoders.STRING(), Encoders.kryo(clazz)))
// <tmp_source,entity>
.groupByKey(
(MapFunction<Tuple2<String, OafEntity>, String>) Tuple2::_1, Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Tuple2<String, OafEntity>, ConnectedComponent>) this::generateID,
Encoders.bean(ConnectedComponent.class))
// <root_id, list(target)>
.flatMap(
(FlatMapFunction<Row, Tuple3<String, String, String>>) (Row r) -> {
String id = r.getAs("id");
String dedupId = IdGenerator.generate(id);
(FlatMapFunction<ConnectedComponent, Relation>) cc -> ccToMergeRel(cc, dedupConf),
Encoders.bean(Relation.class));
String pivot = r.getAs("pivot");
String pivotDedupId = IdGenerator.generate(pivot);
saveParquet(mergeRels, mergeRelPath, SaveMode.Overwrite);
// filter out id == pivotDedupId
// those are caused by claim expressed on pivotDedupId
// information will be merged after creating deduprecord
if (id.equals(pivotDedupId)) {
return Collections.emptyIterator();
}
ArrayList<Tuple3<String, String, String>> res = new ArrayList<>();
// singleton pivots have null groupId as they do not match rawMergeRels
if (r.isNullAt(r.fieldIndex("groupId"))) {
// the record is existing if it matches pivotingData
if (!r.isNullAt(r.fieldIndex("collectedfrom"))) {
// create relation with old dedup id
res.add(new Tuple3<>(id, dedupId, null));
}
return res.iterator();
}
// this was a pivot in a previous graph but it has been merged into a new group with different
// pivot
if (!r.isNullAt(r.fieldIndex("lastUsage")) && !pivot.equals(id)
&& !dedupId.equals(pivotDedupId)) {
// materialize the previous dedup record as a merge relation with the new one
res.add(new Tuple3<>(dedupId, pivotDedupId, null));
}
// add merge relations
if (cut <= 0 || r.<Integer> getAs("position") <= cut) {
res.add(new Tuple3<>(id, pivotDedupId, pivot));
}
return res.iterator();
}, Encoders.tuple(Encoders.STRING(), Encoders.STRING(), Encoders.STRING()))
.distinct()
.flatMap(
(FlatMapFunction<Tuple3<String, String, String>, Relation>) (Tuple3<String, String, String> r) -> {
String id = r._1();
String dedupId = r._2();
String pivot = r._3();
ArrayList<Relation> res = new ArrayList<>();
res.add(rel(pivot, dedupId, id, ModelConstants.MERGES, dedupConf));
res.add(rel(pivot, id, dedupId, ModelConstants.IS_MERGED_IN, dedupConf));
return res.iterator();
}, Encoders.bean(Relation.class));
saveParquet(output, mergeRelPath, SaveMode.Overwrite);
}
}
private static Relation rel(String pivot, String source, String target, String relClass, DedupConfig dedupConf) {
private <T extends OafEntity> ConnectedComponent generateID(String key, Iterator<Tuple2<String, T>> values) {
List<Identifier<T>> identifiers = Lists
.newArrayList(values)
.stream()
.map(v -> Identifier.newInstance(v._2()))
.collect(Collectors.toList());
String rootID = IdGenerator.generate(identifiers, key);
if (Objects.equals(rootID, key))
throw new IllegalStateException("generated default ID: " + rootID);
return new ConnectedComponent(rootID,
identifiers.stream().map(i -> i.getEntity().getId()).collect(Collectors.toSet()));
}
private JavaPairRDD<Object, String> createVertexes(JavaSparkContext sc, String graphBasePath, String subEntity,
DedupConfig dedupConf) {
return sc
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.mapToPair(json -> {
String id = MapDocumentUtil.getJPathString(dedupConf.getWf().getIdPath(), json);
return new Tuple2<>(hash(id), id);
});
}
private Iterator<Tuple2<String, String>> ccToRels(ConnectedComponent cc) {
return cc
.getIds()
.stream()
.map(id -> new Tuple2<>(cc.getCcId(), id))
.iterator();
}
private Iterator<Relation> ccToMergeRel(ConnectedComponent cc, DedupConfig dedupConf) {
return cc
.getIds()
.stream()
.flatMap(
id -> {
List<Relation> tmp = new ArrayList<>();
tmp.add(rel(cc.getCcId(), id, ModelConstants.MERGES, dedupConf));
tmp.add(rel(id, cc.getCcId(), ModelConstants.IS_MERGED_IN, dedupConf));
return tmp.stream();
})
.iterator();
}
private Relation rel(String source, String target, String relClass, DedupConfig dedupConf) {
String entityType = dedupConf.getWf().getEntityType();
@ -299,14 +238,6 @@ public class SparkCreateMergeRels extends AbstractSparkAction {
// TODO calculate the trust value based on the similarity score of the elements in the CC
r.setDataInfo(info);
if (pivot != null) {
KeyValue pivotKV = new KeyValue();
pivotKV.setKey("pivot");
pivotKV.setValue(pivot);
r.setProperties(Arrays.asList(pivotKV));
}
return r;
}

View File

@ -91,12 +91,18 @@ public class SparkWhitelistSimRels extends AbstractSparkAction {
Dataset<Row> entities = spark
.read()
.textFile(DedupUtility.createEntityPath(graphBasePath, subEntity))
.select(functions.get_json_object(new Column("value"), dedupConf.getWf().getIdPath()).as("id"))
.distinct();
.repartition(numPartitions)
.withColumn("id", functions.get_json_object(new Column("value"), dedupConf.getWf().getIdPath()));
Dataset<Relation> whiteListSimRels = whiteListRels
.join(entities, entities.col("id").equalTo(whiteListRels.col("from")), "leftsemi")
.join(entities, functions.col("to").equalTo(entities.col("id")), "leftsemi")
Dataset<Row> whiteListRels1 = whiteListRels
.join(entities, entities.col("id").equalTo(whiteListRels.col("from")), "inner")
.select("from", "to");
Dataset<Row> whiteListRels2 = whiteListRels1
.join(entities, whiteListRels1.col("to").equalTo(entities.col("id")), "inner")
.select("from", "to");
Dataset<Relation> whiteListSimRels = whiteListRels2
.map(
(MapFunction<Row, Relation>) r -> DedupUtility
.createSimRel(r.getString(0), r.getString(1), entity),

View File

@ -0,0 +1,100 @@
package eu.dnetlib.dhp.oa.dedup.graph;
import java.io.IOException;
import java.io.Serializable;
import java.util.Set;
import java.util.stream.Collectors;
import org.apache.commons.lang3.StringUtils;
import org.codehaus.jackson.annotate.JsonIgnore;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.utils.DHPUtils;
import eu.dnetlib.pace.util.PaceException;
public class ConnectedComponent implements Serializable {
private String ccId;
private Set<String> ids;
private static final String CONNECTED_COMPONENT_ID_PREFIX = "connect_comp";
public ConnectedComponent(Set<String> ids, final int cut) {
this.ids = ids;
this.ccId = createDefaultID();
if (cut > 0 && ids.size() > cut) {
this.ids = ids
.stream()
.filter(id -> !ccId.equalsIgnoreCase(id))
.limit(cut - 1)
.collect(Collectors.toSet());
// this.ids.add(ccId); ??
}
}
public ConnectedComponent(String ccId, Set<String> ids) {
this.ccId = ccId;
this.ids = ids;
}
public String createDefaultID() {
if (ids.size() > 1) {
final String s = getMin();
String prefix = s.split("\\|")[0];
ccId = prefix + "|" + CONNECTED_COMPONENT_ID_PREFIX + "::" + DHPUtils.md5(s);
return ccId;
} else {
return ids.iterator().next();
}
}
@JsonIgnore
public String getMin() {
final StringBuilder min = new StringBuilder();
ids
.forEach(
id -> {
if (StringUtils.isBlank(min.toString())) {
min.append(id);
} else {
if (min.toString().compareTo(id) > 0) {
min.setLength(0);
min.append(id);
}
}
});
return min.toString();
}
@Override
public String toString() {
ObjectMapper mapper = new ObjectMapper();
try {
return mapper.writeValueAsString(this);
} catch (IOException e) {
throw new PaceException("Failed to create Json: ", e);
}
}
public Set<String> getIds() {
return ids;
}
public void setIds(Set<String> ids) {
this.ids = ids;
}
public String getCcId() {
return ccId;
}
public void setCcId(String ccId) {
this.ccId = ccId;
}
}

View File

@ -0,0 +1,37 @@
package eu.dnetlib.dhp.oa.dedup.graph
import org.apache.spark.graphx._
import org.apache.spark.rdd.RDD
import scala.collection.JavaConversions;
object GraphProcessor {
def findCCs(vertexes: RDD[(VertexId, String)], edges: RDD[Edge[String]], maxIterations: Int, cut:Int): RDD[ConnectedComponent] = {
val graph: Graph[String, String] = Graph(vertexes, edges).partitionBy(PartitionStrategy.RandomVertexCut) //TODO remember to remove partitionby
val cc = graph.connectedComponents(maxIterations).vertices
val joinResult = vertexes.leftOuterJoin(cc).map {
case (id, (openaireId, cc)) => {
if (cc.isEmpty) {
(id, openaireId)
}
else {
(cc.get, openaireId)
}
}
}
val connectedComponents = joinResult.groupByKey()
.map[ConnectedComponent](cc => asConnectedComponent(cc, cut))
connectedComponents
}
def asConnectedComponent(group: (VertexId, Iterable[String]), cut:Int): ConnectedComponent = {
val docs = group._2.toSet[String]
val connectedComponent = new ConnectedComponent(JavaConversions.setAsJavaSet[String](docs), cut);
connectedComponent
}
}

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