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package eu.dnetlib.data.mapreduce.hbase.bulktag;
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import eu.dnetlib.data.bulktag.CommunityConfiguration;
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import eu.dnetlib.data.bulktag.Pair;
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import eu.dnetlib.data.proto.FieldTypeProtos;
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import eu.dnetlib.data.proto.OafProtos;
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import eu.dnetlib.data.proto.ResultProtos;
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import org.apache.hadoop.mapreduce.Mapper;
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import java.util.*;
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import java.util.stream.Collectors;
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/**
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* Created by miriam on 02/08/2018.
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*/
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public class ResultTagger {
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private final static String DATA_INFO_TYPE = "bulktagging::community";
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private final static String SCHEMA_NAME = "dnet:provenanceActions";
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private final static String CLASS_ID = "bulktagging::community";
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private final static String SCHEMA_ID = "dnet:provenanceActions";
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private final static String COUNTER_GROUP = "Bulk Tagging";
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public OafProtos.Oaf enrichContext(final OafProtos.Oaf oaf, final CommunityConfiguration conf, final Mapper.Context context) {
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final OafProtos.Oaf.Builder builder = OafProtos.Oaf.newBuilder(oaf);
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if(oaf.getDataInfo().getDeletedbyinference()){
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context.getCounter(COUNTER_GROUP, "deleted by inference").increment(1);
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return null;
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}
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final List<ResultProtos.Result.Context> contextList = oaf.getEntity().getResult().getMetadata().getContextList();
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//communities contains all the communities to be added as context for the result
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final Set<String> communities = new HashSet<>();
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List<FieldTypeProtos.StructuredProperty> subjectSet = oaf.getEntity().getResult().getMetadata().getSubjectList();
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communities.addAll(analiseSubjects(subjectSet, conf));
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List<Pair<String, String>> datasourceSet = oaf.getEntity().getResult().getInstanceList()
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.stream()
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.map(i -> new Pair<>(i.getCollectedfrom().getKey(), i.getHostedby().getKey()))
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.collect(Collectors.toList());
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communities.addAll(analiseDatasource(datasourceSet, conf));
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//TODO: add code for Zenodo Communities
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final Map<String,Pair<Integer,ResultProtos.Result.Context>> contexts = new HashMap<>();
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for(int i = 0; i<contextList.size(); i++){
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contexts.put(contextList.get(i).getId(),new Pair<>(i,contextList.get(i)));
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}
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for(String contextId:communities){
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final Pair<Integer,ResultProtos.Result.Context> pair = contexts.get(contextId);
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ResultProtos.Result.Context c;
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if(pair == null)
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c = null;
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else
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c = pair.getSnd();
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if (c != null) {
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// add new dataInfo if needed
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Set<String> set = new HashSet<>();
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set.addAll(c.getDataInfoList().stream().map(datainfo->datainfo.getInferenceprovenance()).collect(Collectors.toList()));
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if (!set.contains(DATA_INFO_TYPE)) {
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builder.getEntityBuilder().getResultBuilder().getMetadataBuilder().getContextBuilder(pair.getFst()).addDataInfo(buildDataInfo());
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context.getCounter(COUNTER_GROUP, "add provenance").increment(1);
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}
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} else {
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builder.getEntityBuilder().getResultBuilder().getMetadataBuilder().addContext(buildContext(contextId));
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context.getCounter(COUNTER_GROUP, "add context").increment(1);
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}
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}
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return builder.build();
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}
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private Set<String> analiseDatasource(List<Pair<String, String>> datasourceSet, final CommunityConfiguration conf) {
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Set<String> set = new HashSet<>();
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for(Pair<String,String> d: datasourceSet){
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if(!d.getFst().equalsIgnoreCase(d.getSnd())){
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set.addAll(conf.getCommunityForDatasourceValue(d.getFst().substring(d.getFst().indexOf("|")+1)));
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}
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set.addAll((conf.getCommunityForDatasourceValue(d.getSnd().substring(d.getSnd().indexOf("|")+1))));
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}
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return set;
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}
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private Set<String> analiseSubjects(List<FieldTypeProtos.StructuredProperty> subjectList, final CommunityConfiguration conf) {
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Set<String> set = new HashSet<>();
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for(FieldTypeProtos.StructuredProperty s:subjectList){
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set.addAll(conf.getCommunityForSubjectValue( s.getValue()));
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}
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return set;
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}
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private ResultProtos.Result.Context buildContext(final String contextId) {
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return ResultProtos.Result.Context.newBuilder()
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.setId(contextId)
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.addDataInfo(buildDataInfo())
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.build();
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}
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private FieldTypeProtos.DataInfo buildDataInfo() {
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FieldTypeProtos.DataInfo.Builder builder = FieldTypeProtos.DataInfo.newBuilder()
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.setInferred(true)
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.setProvenanceaction(
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FieldTypeProtos.Qualifier.newBuilder()
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.setClassid(CLASS_ID)
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.setClassname("Bulk Tagging for Communities")
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.setSchemeid(SCHEMA_ID)
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.setSchemename(SCHEMA_NAME))
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.setInferenceprovenance(DATA_INFO_TYPE)
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.setTrust("0.85");
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return builder
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.build();
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}
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}
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