alessia.bardi
/
dnet-hadoop
forked from D-Net/dnet-hadoop
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

[raw_all] The claim merge procedure includes the claimed contexts in the merged result

This commit is contained in:
Claudio Atzori 2021-07-08 10:42:31 +02:00
parent fdcff42e46
commit b7b8e0986e
1 changed files with 79 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

87
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/raw/MergeClaimsApplication.java
View File

@ -3,8 +3,12 @@ package eu.dnetlib.dhp.oa.graph.raw;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
@ -98,14 +102,9 @@ public class MergeClaimsApplication {
raw
.joinWith(claim, raw.col("_1").equalTo(claim.col("_1")), "full_outer")
.map(
(MapFunction<Tuple2<Tuple2<String, T>, Tuple2<String, T>>, T>) value -> {
Optional<Tuple2<String, T>> opRaw = Optional.ofNullable(value._1());
Optional<Tuple2<String, T>> opClaim = Optional.ofNullable(value._2());
return opRaw.isPresent()
? opRaw.get()._2()
: opClaim.isPresent() ? opClaim.get()._2() : null;
},
(MapFunction<Tuple2<Tuple2<String, T>, Tuple2<String, T>>, T>) value -> processClaims(
Optional.ofNullable(value._1()),
Optional.ofNullable(value._2())),
Encoders.bean(clazz))
.filter(Objects::nonNull)
.map(
@ -117,6 +116,78 @@ public class MergeClaimsApplication {
.text(outPath);
}
private static <T extends Oaf> T processClaims(Optional<Tuple2<String, T>> opRaw,
Optional<Tuple2<String, T>> opClaim) {
// when both are present
if (opClaim.isPresent() && opRaw.isPresent()) {
T oafClaim = opClaim.get()._2();
if (oafClaim instanceof Result) {
T oafRaw = opRaw.get()._2();
// merge the context lists from both oaf objects ...
final List<Context> context = mergeContexts((Result) oafClaim, (Result) oafRaw);
// ... and set it on the result from the aggregator
((Result) oafRaw).setContext(context);
return oafRaw;
}
}
// otherwise prefer the result from the aggregator
return opRaw.isPresent()
? opRaw.get()._2()
: opClaim.map(Tuple2::_2).orElse(null);
}
private static List<Context> mergeContexts(Result oafClaim, Result oafRaw) {
return new ArrayList<>(
Stream
.concat(
Optional
.ofNullable(oafClaim.getContext())
.map(List::stream)
.orElse(Stream.empty()),
Optional
.ofNullable(oafRaw.getContext())
.map(List::stream)
.orElse(Stream.empty()))
.collect(
Collectors
.toMap(
Context::getId,
c -> c,
(c1, c2) -> {
Context c = new Context();
c.setId(c1.getId());
c
.setDataInfo(
new ArrayList<>(
Stream
.concat(
Optional
.ofNullable(c1.getDataInfo())
.map(List::stream)
.orElse(Stream.empty()),
Optional
.ofNullable(c2.getDataInfo())
.map(List::stream)
.orElse(Stream.empty()))
.collect(
Collectors
.toMap(
d -> Optional
.ofNullable(d.getProvenanceaction())
.map(Qualifier::getClassid)
.orElse(""),
d -> d,
(d1, d2) -> d1))
.values()));
return c;
}))
.values());
}
private static <T extends Oaf> Dataset<T> readFromPath(
SparkSession spark, String path, Class<T> clazz) {
return spark