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dnet-hadoop
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merge with beta for bioschemas 

Merge branch 'beta' of https://code-repo.d4science.org/D-Net/dnet-hadoop into beta_bioschema
This commit is contained in:
Enrico Ottonello 2022-05-11 10:56:03 +02:00
parent 0703e0c65f 77bc9863e9
commit 6fa9624c29
170 changed files with 7621 additions and 1122 deletions
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21
.scalafmt.conf Normal file
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@ -0,0 +1,21 @@
style = defaultWithAlign
align.openParenCallSite = false
align.openParenDefnSite = false
align.tokens = [{code = "->"}, {code = "<-"}, {code = "=>", owner = "Case"}]
continuationIndent.callSite = 2
continuationIndent.defnSite = 2
danglingParentheses = true
indentOperator = spray
maxColumn = 120
newlines.alwaysBeforeTopLevelStatements = true
project.excludeFilters = [".*\\.sbt"]
rewrite.rules = [AvoidInfix]
rewrite.rules = [ExpandImportSelectors]
rewrite.rules = [RedundantBraces]
rewrite.rules = [RedundantParens]
rewrite.rules = [SortImports]
rewrite.rules = [SortModifiers]
rewrite.rules = [PreferCurlyFors]
spaces.inImportCurlyBraces = false
unindentTopLevelOperators = true

2
dhp-build/dhp-build-assembly-resources/pom.xml
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@ -6,7 +6,7 @@
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-build</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<artifactId>dhp-build-assembly-resources</artifactId>

2
dhp-build/dhp-build-properties-maven-plugin/pom.xml
View File

@ -6,7 +6,7 @@
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-build</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<artifactId>dhp-build-properties-maven-plugin</artifactId>

6
dhp-build/dhp-code-style/pom.xml
View File

@ -5,7 +5,7 @@
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-code-style</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
<packaging>jar</packaging>
@ -47,12 +47,16 @@
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-site-plugin</artifactId>
<version>3.9.1</version>
<configuration>
<skip>true</skip>
</configuration>
</plugin>
</plugins>
</pluginManagement>
</build>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<dhp.site.stage.path>sftp://dnet-hadoop@static-web.d4science.org/dnet-hadoop</dhp.site.stage.path>
</properties>

2
dhp-build/pom.xml
View File

@ -4,7 +4,7 @@
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<artifactId>dhp-build</artifactId>
<packaging>pom</packaging>

2
dhp-common/pom.xml
View File

@ -5,7 +5,7 @@
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
<relativePath>../pom.xml</relativePath>
</parent>

40
dhp-common/src/main/java/eu/dnetlib/dhp/common/collection/DecompressTarGz.java Normal file
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@ -0,0 +1,40 @@
package eu.dnetlib.dhp.common.collection;
import java.io.BufferedOutputStream;
import java.io.IOException;
import java.util.zip.GZIPOutputStream;
import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
import org.apache.commons.compress.compressors.gzip.GzipCompressorInputStream;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
public class DecompressTarGz {
public static void doExtract(FileSystem fs, String outputPath, String tarGzPath) throws IOException {
FSDataInputStream inputFileStream = fs.open(new Path(tarGzPath));
try (TarArchiveInputStream tais = new TarArchiveInputStream(
new GzipCompressorInputStream(inputFileStream))) {
TarArchiveEntry entry = null;
while ((entry = tais.getNextTarEntry()) != null) {
if (!entry.isDirectory()) {
try (
FSDataOutputStream out = fs
.create(new Path(outputPath.concat(entry.getName()).concat(".gz")));
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
IOUtils.copy(tais, gzipOs);
}
}
}
}
}
}

28
dhp-common/src/main/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtils.java
View File

@ -3,6 +3,8 @@ package eu.dnetlib.dhp.schema.oaf.utils;
import static eu.dnetlib.dhp.schema.common.ModelConstants.*;
import java.sql.Array;
import java.sql.SQLException;
import java.util.*;
import java.util.concurrent.ConcurrentHashMap;
import java.util.function.Function;
@ -118,6 +120,17 @@ public class OafMapperUtils {
.collect(Collectors.toList());
}
public static <T> List<T> listValues(Array values) throws SQLException {
if (Objects.isNull(values)) {
return null;
}
return Arrays
.stream((T[]) values.getArray())
.filter(Objects::nonNull)
.distinct()
.collect(Collectors.toList());
}
public static List<Field<String>> listFields(final DataInfo info, final List<String> values) {
return values
.stream()
@ -391,4 +404,19 @@ public class OafMapperUtils {
}
return null;
}
public static KeyValue newKeyValueInstance(String key, String value, DataInfo dataInfo) {
KeyValue kv = new KeyValue();
kv.setDataInfo(dataInfo);
kv.setKey(key);
kv.setValue(value);
return kv;
}
public static Measure newMeasureInstance(String id, String value, String key, DataInfo dataInfo) {
Measure m = new Measure();
m.setId(id);
m.setUnit(Arrays.asList(newKeyValueInstance(key, value, dataInfo)));
return m;
}
}

185
dhp-common/src/test/java/eu/dnetlib/dhp/schema/oaf/utils/OafMapperUtilsTest.java
View File

@ -44,105 +44,104 @@ class OafMapperUtilsTest {
@Test
void testDateValidation() {
assertTrue(GraphCleaningFunctions.doCleanDate("2016-05-07T12:41:19.202Z ").isPresent());
assertTrue(GraphCleaningFunctions.doCleanDate("2020-09-10 11:08:52 ").isPresent());
assertTrue(GraphCleaningFunctions.doCleanDate(" 2016-04-05").isPresent());
assertNotNull(GraphCleaningFunctions.cleanDate("2016-05-07T12:41:19.202Z "));
assertNotNull(GraphCleaningFunctions.cleanDate("2020-09-10 11:08:52 "));
assertNotNull(GraphCleaningFunctions.cleanDate(" 2016-04-05"));
assertEquals("2016-04-05", GraphCleaningFunctions.doCleanDate("2016 Apr 05").get());
assertEquals("2016-04-05", GraphCleaningFunctions.cleanDate("2016 Apr 05"));
assertEquals("2009-05-08", GraphCleaningFunctions.doCleanDate("May 8, 2009 5:57:51 PM").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("oct 7, 1970").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("oct 7, '70").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("oct. 7, 1970").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("oct. 7, 70").get());
assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("Mon Jan 2 15:04:05 2006").get());
assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("Mon Jan 2 15:04:05 MST 2006").get());
assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("Mon Jan 02 15:04:05 -0700 2006").get());
assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("Monday, 02-Jan-06 15:04:05 MST").get());
assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("Mon, 02 Jan 2006 15:04:05 MST").get());
assertEquals("2017-07-11", GraphCleaningFunctions.doCleanDate("Tue, 11 Jul 2017 16:28:13 +0200 (CEST)").get());
assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("Mon, 02 Jan 2006 15:04:05 -0700").get());
assertEquals("2018-01-04", GraphCleaningFunctions.doCleanDate("Thu, 4 Jan 2018 17:53:36 +0000").get());
assertEquals("2015-08-10", GraphCleaningFunctions.doCleanDate("Mon Aug 10 15:44:11 UTC+0100 2015").get());
assertEquals("2009-05-08", GraphCleaningFunctions.cleanDate("May 8, 2009 5:57:51 PM"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("oct 7, 1970"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("oct 7, '70"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("oct. 7, 1970"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("oct. 7, 70"));
assertEquals("2006-01-02", GraphCleaningFunctions.cleanDate("Mon Jan 2 15:04:05 2006"));
assertEquals("2006-01-02", GraphCleaningFunctions.cleanDate("Mon Jan 2 15:04:05 MST 2006"));
assertEquals("2006-01-02", GraphCleaningFunctions.cleanDate("Mon Jan 02 15:04:05 -0700 2006"));
assertEquals("2006-01-02", GraphCleaningFunctions.cleanDate("Monday, 02-Jan-06 15:04:05 MST"));
assertEquals("2006-01-02", GraphCleaningFunctions.cleanDate("Mon, 02 Jan 2006 15:04:05 MST"));
assertEquals("2017-07-11", GraphCleaningFunctions.cleanDate("Tue, 11 Jul 2017 16:28:13 +0200 (CEST)"));
assertEquals("2006-01-02", GraphCleaningFunctions.cleanDate("Mon, 02 Jan 2006 15:04:05 -0700"));
assertEquals("2018-01-04", GraphCleaningFunctions.cleanDate("Thu, 4 Jan 2018 17:53:36 +0000"));
assertEquals("2015-08-10", GraphCleaningFunctions.cleanDate("Mon Aug 10 15:44:11 UTC+0100 2015"));
assertEquals(
"2015-07-03",
GraphCleaningFunctions.doCleanDate("Fri Jul 03 2015 18:04:07 GMT+0100 (GMT Daylight Time)").get());
assertEquals("2012-09-17", GraphCleaningFunctions.doCleanDate("September 17, 2012 10:09am").get());
assertEquals("2012-09-17", GraphCleaningFunctions.doCleanDate("September 17, 2012 at 10:09am PST-08").get());
assertEquals("2012-09-17", GraphCleaningFunctions.doCleanDate("September 17, 2012, 10:10:09").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("October 7, 1970").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("October 7th, 1970").get());
assertEquals("2006-02-12", GraphCleaningFunctions.doCleanDate("12 Feb 2006, 19:17").get());
assertEquals("2006-02-12", GraphCleaningFunctions.doCleanDate("12 Feb 2006 19:17").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("7 oct 70").get());
assertEquals("1970-10-07", GraphCleaningFunctions.doCleanDate("7 oct 1970").get());
assertEquals("2013-02-03", GraphCleaningFunctions.doCleanDate("03 February 2013").get());
assertEquals("2013-07-01", GraphCleaningFunctions.doCleanDate("1 July 2013").get());
assertEquals("2013-02-03", GraphCleaningFunctions.doCleanDate("2013-Feb-03").get());
assertEquals("2014-03-31", GraphCleaningFunctions.doCleanDate("3/31/2014").get());
assertEquals("2014-03-31", GraphCleaningFunctions.doCleanDate("03/31/2014").get());
assertEquals("1971-08-21", GraphCleaningFunctions.doCleanDate("08/21/71").get());
assertEquals("1971-01-08", GraphCleaningFunctions.doCleanDate("8/1/71").get());
assertEquals("2014-08-04", GraphCleaningFunctions.doCleanDate("4/8/2014 22:05").get());
assertEquals("2014-08-04", GraphCleaningFunctions.doCleanDate("04/08/2014 22:05").get());
assertEquals("2014-08-04", GraphCleaningFunctions.doCleanDate("4/8/14 22:05").get());
assertEquals("2014-02-04", GraphCleaningFunctions.doCleanDate("04/2/2014 03:00:51").get());
assertEquals("1965-08-08", GraphCleaningFunctions.doCleanDate("8/8/1965 12:00:00 AM").get());
assertEquals("1965-08-08", GraphCleaningFunctions.doCleanDate("8/8/1965 01:00:01 PM").get());
assertEquals("1965-08-08", GraphCleaningFunctions.doCleanDate("8/8/1965 01:00 PM").get());
assertEquals("1965-08-08", GraphCleaningFunctions.doCleanDate("8/8/1965 1:00 PM").get());
assertEquals("1965-08-08", GraphCleaningFunctions.doCleanDate("8/8/1965 12:00 AM").get());
assertEquals("2014-02-04", GraphCleaningFunctions.doCleanDate("4/02/2014 03:00:51").get());
assertEquals("2012-03-19", GraphCleaningFunctions.doCleanDate("03/19/2012 10:11:59").get());
assertEquals("2012-03-19", GraphCleaningFunctions.doCleanDate("03/19/2012 10:11:59.3186369").get());
assertEquals("2014-03-31", GraphCleaningFunctions.doCleanDate("2014/3/31").get());
assertEquals("2014-03-31", GraphCleaningFunctions.doCleanDate("2014/03/31").get());
assertEquals("2014-04-08", GraphCleaningFunctions.doCleanDate("2014/4/8 22:05").get());
assertEquals("2014-04-08", GraphCleaningFunctions.doCleanDate("2014/04/08 22:05").get());
assertEquals("2014-04-02", GraphCleaningFunctions.doCleanDate("2014/04/2 03:00:51").get());
assertEquals("2014-04-02", GraphCleaningFunctions.doCleanDate("2014/4/02 03:00:51").get());
assertEquals("2012-03-19", GraphCleaningFunctions.doCleanDate("2012/03/19 10:11:59").get());
assertEquals("2012-03-19", GraphCleaningFunctions.doCleanDate("2012/03/19 10:11:59.3186369").get());
assertEquals("2014-04-08", GraphCleaningFunctions.doCleanDate("2014年04月08日").get());
assertEquals("2006-01-02", GraphCleaningFunctions.doCleanDate("2006-01-02T15:04:05+0000").get());
assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09-07:00").get());
assertEquals("2009-08-12", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09").get());
assertEquals("2009-08-13", GraphCleaningFunctions.doCleanDate("2009-08-12T22:15:09Z").get());
assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.3186369").get());
assertEquals("2012-08-03", GraphCleaningFunctions.doCleanDate("2012-08-03 18:31:59.257000000").get());
assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 17:24:37.123").get());
assertEquals("2013-04-01", GraphCleaningFunctions.doCleanDate("2013-04-01 22:43").get());
assertEquals("2013-04-01", GraphCleaningFunctions.doCleanDate("2013-04-01 22:43:22").get());
assertEquals("2014-12-16", GraphCleaningFunctions.doCleanDate("2014-12-16 06:20:00 UTC").get());
assertEquals("2014-12-16", GraphCleaningFunctions.doCleanDate("2014-12-16 06:20:00 GMT").get());
assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 05:24:37 PM").get());
assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 13:13:43 +0800").get());
assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 13:13:43 +0800 +08").get());
assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26 13:13:44 +09:00").get());
assertEquals("2012-08-03", GraphCleaningFunctions.doCleanDate("2012-08-03 18:31:59.257000000 +0000 UTC").get());
assertEquals("2015-09-30", GraphCleaningFunctions.doCleanDate("2015-09-30 18:48:56.35272715 +0000 UTC").get());
assertEquals("2015-02-18", GraphCleaningFunctions.doCleanDate("2015-02-18 00:12:00 +0000 GMT").get());
assertEquals("2015-02-18", GraphCleaningFunctions.doCleanDate("2015-02-18 00:12:00 +0000 UTC").get());
GraphCleaningFunctions.cleanDate("Fri Jul 03 2015 18:04:07 GMT+0100 (GMT Daylight Time)"));
assertEquals("2012-09-17", GraphCleaningFunctions.cleanDate("September 17, 2012 10:09am"));
assertEquals("2012-09-17", GraphCleaningFunctions.cleanDate("September 17, 2012 at 10:09am PST-08"));
assertEquals("2012-09-17", GraphCleaningFunctions.cleanDate("September 17, 2012, 10:10:09"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("October 7, 1970"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("October 7th, 1970"));
assertEquals("2006-02-12", GraphCleaningFunctions.cleanDate("12 Feb 2006, 19:17"));
assertEquals("2006-02-12", GraphCleaningFunctions.cleanDate("12 Feb 2006 19:17"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("7 oct 70"));
assertEquals("1970-10-07", GraphCleaningFunctions.cleanDate("7 oct 1970"));
assertEquals("2013-02-03", GraphCleaningFunctions.cleanDate("03 February 2013"));
assertEquals("2013-07-01", GraphCleaningFunctions.cleanDate("1 July 2013"));
assertEquals("2013-02-03", GraphCleaningFunctions.cleanDate("2013-Feb-03"));
assertEquals("2014-03-31", GraphCleaningFunctions.cleanDate("3/31/2014"));
assertEquals("2014-03-31", GraphCleaningFunctions.cleanDate("03/31/2014"));
assertEquals("1971-08-21", GraphCleaningFunctions.cleanDate("08/21/71"));
assertEquals("1971-01-08", GraphCleaningFunctions.cleanDate("8/1/71"));
assertEquals("2014-08-04", GraphCleaningFunctions.cleanDate("4/8/2014 22:05"));
assertEquals("2014-08-04", GraphCleaningFunctions.cleanDate("04/08/2014 22:05"));
assertEquals("2014-08-04", GraphCleaningFunctions.cleanDate("4/8/14 22:05"));
assertEquals("2014-02-04", GraphCleaningFunctions.cleanDate("04/2/2014 03:00:51"));
assertEquals("1965-08-08", GraphCleaningFunctions.cleanDate("8/8/1965 12:00:00 AM"));
assertEquals("1965-08-08", GraphCleaningFunctions.cleanDate("8/8/1965 01:00:01 PM"));
assertEquals("1965-08-08", GraphCleaningFunctions.cleanDate("8/8/1965 01:00 PM"));
assertEquals("1965-08-08", GraphCleaningFunctions.cleanDate("8/8/1965 1:00 PM"));
assertEquals("1965-08-08", GraphCleaningFunctions.cleanDate("8/8/1965 12:00 AM"));
assertEquals("2014-02-04", GraphCleaningFunctions.cleanDate("4/02/2014 03:00:51"));
assertEquals("2012-03-19", GraphCleaningFunctions.cleanDate("03/19/2012 10:11:59"));
assertEquals("2012-03-19", GraphCleaningFunctions.cleanDate("03/19/2012 10:11:59.3186369"));
assertEquals("2014-03-31", GraphCleaningFunctions.cleanDate("2014/3/31"));
assertEquals("2014-03-31", GraphCleaningFunctions.cleanDate("2014/03/31"));
assertEquals("2014-04-08", GraphCleaningFunctions.cleanDate("2014/4/8 22:05"));
assertEquals("2014-04-08", GraphCleaningFunctions.cleanDate("2014/04/08 22:05"));
assertEquals("2014-04-02", GraphCleaningFunctions.cleanDate("2014/04/2 03:00:51"));
assertEquals("2014-04-02", GraphCleaningFunctions.cleanDate("2014/4/02 03:00:51"));
assertEquals("2012-03-19", GraphCleaningFunctions.cleanDate("2012/03/19 10:11:59"));
assertEquals("2012-03-19", GraphCleaningFunctions.cleanDate("2012/03/19 10:11:59.3186369"));
assertEquals("2014-04-08", GraphCleaningFunctions.cleanDate("2014年04月08日"));
assertEquals("2006-01-02", GraphCleaningFunctions.cleanDate("2006-01-02T15:04:05+0000"));
assertEquals("2009-08-13", GraphCleaningFunctions.cleanDate("2009-08-12T22:15:09-07:00"));
assertEquals("2009-08-12", GraphCleaningFunctions.cleanDate("2009-08-12T22:15:09"));
assertEquals("2014-04-26", GraphCleaningFunctions.cleanDate("2014-04-26 17:24:37.3186369"));
assertEquals("2012-08-03", GraphCleaningFunctions.cleanDate("2012-08-03 18:31:59.257000000"));
assertEquals("2014-04-26", GraphCleaningFunctions.cleanDate("2014-04-26 17:24:37.123"));
assertEquals("2013-04-01", GraphCleaningFunctions.cleanDate("2013-04-01 22:43"));
assertEquals("2013-04-01", GraphCleaningFunctions.cleanDate("2013-04-01 22:43:22"));
assertEquals("2014-12-16", GraphCleaningFunctions.cleanDate("2014-12-16 06:20:00 UTC"));
assertEquals("2014-12-16", GraphCleaningFunctions.cleanDate("2014-12-16 06:20:00 GMT"));
assertEquals("2014-04-26", GraphCleaningFunctions.cleanDate("2014-04-26 05:24:37 PM"));
assertEquals("2014-04-26", GraphCleaningFunctions.cleanDate("2014-04-26 13:13:43 +0800"));
assertEquals("2014-04-26", GraphCleaningFunctions.cleanDate("2014-04-26 13:13:43 +0800 +08"));
assertEquals("2014-04-26", GraphCleaningFunctions.cleanDate("2014-04-26 13:13:44 +09:00"));
assertEquals("2012-08-03", GraphCleaningFunctions.cleanDate("2012-08-03 18:31:59.257000000 +0000 UTC"));
assertEquals("2015-09-30", GraphCleaningFunctions.cleanDate("2015-09-30 18:48:56.35272715 +0000 UTC"));
assertEquals("2015-02-18", GraphCleaningFunctions.cleanDate("2015-02-18 00:12:00 +0000 GMT"));
assertEquals("2015-02-18", GraphCleaningFunctions.cleanDate("2015-02-18 00:12:00 +0000 UTC"));
assertEquals(
"2015-02-08", GraphCleaningFunctions.doCleanDate("2015-02-08 03:02:00 +0300 MSK m=+0.000000001").get());
"2015-02-08", GraphCleaningFunctions.cleanDate("2015-02-08 03:02:00 +0300 MSK m=+0.000000001"));
assertEquals(
"2015-02-08", GraphCleaningFunctions.doCleanDate("2015-02-08 03:02:00.001 +0300 MSK m=+0.000000001").get());
assertEquals("2017-07-19", GraphCleaningFunctions.doCleanDate("2017-07-19 03:21:51+00:00").get());
assertEquals("2014-04-26", GraphCleaningFunctions.doCleanDate("2014-04-26").get());
assertEquals("2014-04-01", GraphCleaningFunctions.doCleanDate("2014-04").get());
assertEquals("2014-01-01", GraphCleaningFunctions.doCleanDate("2014").get());
assertEquals("2014-05-11", GraphCleaningFunctions.doCleanDate("2014-05-11 08:20:13,787").get());
assertEquals("2014-03-31", GraphCleaningFunctions.doCleanDate("3.31.2014").get());
assertEquals("2014-03-31", GraphCleaningFunctions.doCleanDate("03.31.2014").get());
assertEquals("1971-08-21", GraphCleaningFunctions.doCleanDate("08.21.71").get());
assertEquals("2014-03-01", GraphCleaningFunctions.doCleanDate("2014.03").get());
assertEquals("2014-03-30", GraphCleaningFunctions.doCleanDate("2014.03.30").get());
assertEquals("2014-06-01", GraphCleaningFunctions.doCleanDate("20140601").get());
assertEquals("2014-07-22", GraphCleaningFunctions.doCleanDate("20140722105203").get());
assertEquals("2012-03-19", GraphCleaningFunctions.doCleanDate("1332151919").get());
assertEquals("2013-11-12", GraphCleaningFunctions.doCleanDate("1384216367189").get());
assertEquals("2013-11-12", GraphCleaningFunctions.doCleanDate("1384216367111222").get());
assertEquals("2013-11-12", GraphCleaningFunctions.doCleanDate("1384216367111222333").get());
"2015-02-08", GraphCleaningFunctions.cleanDate("2015-02-08 03:02:00.001 +0300 MSK m=+0.000000001"));
assertEquals("2017-07-19", GraphCleaningFunctions.cleanDate("2017-07-19 03:21:51+00:00"));
assertEquals("2014-04-26", GraphCleaningFunctions.cleanDate("2014-04-26"));
assertEquals("2014-04-01", GraphCleaningFunctions.cleanDate("2014-04"));
assertEquals("2014-01-01", GraphCleaningFunctions.cleanDate("2014"));
assertEquals("2014-05-11", GraphCleaningFunctions.cleanDate("2014-05-11 08:20:13,787"));
assertEquals("2014-03-31", GraphCleaningFunctions.cleanDate("3.31.2014"));
assertEquals("2014-03-31", GraphCleaningFunctions.cleanDate("03.31.2014"));
assertEquals("1971-08-21", GraphCleaningFunctions.cleanDate("08.21.71"));
assertEquals("2014-03-01", GraphCleaningFunctions.cleanDate("2014.03"));
assertEquals("2014-03-30", GraphCleaningFunctions.cleanDate("2014.03.30"));
assertEquals("2014-06-01", GraphCleaningFunctions.cleanDate("20140601"));
assertEquals("2014-07-22", GraphCleaningFunctions.cleanDate("20140722105203"));
assertEquals("2012-03-19", GraphCleaningFunctions.cleanDate("1332151919"));
assertEquals("2013-11-12", GraphCleaningFunctions.cleanDate("1384216367189"));
assertEquals("2013-11-12", GraphCleaningFunctions.cleanDate("1384216367111222"));
assertEquals("2013-11-12", GraphCleaningFunctions.cleanDate("1384216367111222333"));
}

2
dhp-workflows/dhp-actionmanager/pom.xml
View File

@ -4,7 +4,7 @@
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-workflows</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<artifactId>dhp-actionmanager</artifactId>

21
dhp-workflows/dhp-aggregation/.scalafmt.conf Normal file
View File

@ -0,0 +1,21 @@
style = defaultWithAlign
align.openParenCallSite = false
align.openParenDefnSite = false
align.tokens = [{code = "->"}, {code = "<-"}, {code = "=>", owner = "Case"}]
continuationIndent.callSite = 2
continuationIndent.defnSite = 2
danglingParentheses = true
indentOperator = spray
maxColumn = 120
newlines.alwaysBeforeTopLevelStatements = true
project.excludeFilters = [".*\\.sbt"]
rewrite.rules = [AvoidInfix]
rewrite.rules = [ExpandImportSelectors]
rewrite.rules = [RedundantBraces]
rewrite.rules = [RedundantParens]
rewrite.rules = [SortImports]
rewrite.rules = [SortModifiers]
rewrite.rules = [PreferCurlyFors]
spaces.inImportCurlyBraces = false
unindentTopLevelOperators = true

2
dhp-workflows/dhp-aggregation/pom.xml
View File

@ -4,7 +4,7 @@
<parent>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-workflows</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<artifactId>dhp-aggregation</artifactId>
<build>

2
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/Constants.java
View File

@ -27,6 +27,8 @@ public class Constants {
public static final String UPDATE_CLASS_NAME = "Inferred by OpenAIRE";
public static final String UPDATE_MEASURE_BIP_CLASS_ID = "measure:bip";
public static final String UPDATE_SUBJECT_SDG_CLASS_ID = "subject:sdg";
public static final String UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID = "measure:usage_counts";
public static final String UPDATE_KEY_USAGE_COUNTS = "count";
public static final String FOS_CLASS_ID = "FOS";
public static final String FOS_CLASS_NAME = "Fields of Science and Technology classification";

156
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionUsageJob.java Normal file
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@ -0,0 +1,156 @@
package eu.dnetlib.dhp.actionmanager.usagestats;
import static eu.dnetlib.dhp.actionmanager.Constants.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import java.io.Serializable;
import java.util.Arrays;
import java.util.List;
import java.util.Optional;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.SequenceFileOutputFormat;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
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.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.DataInfo;
import eu.dnetlib.dhp.schema.oaf.Measure;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
import scala.Tuple2;
/**
* created the Atomic Action for each type of results
*/
public class SparkAtomicActionUsageJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(SparkAtomicActionUsageJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static <I extends Result> void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkAtomicActionUsageJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/actionmanager/usagestats/input_actionset_parameter.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}: ", outputPath);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
final String dbname = parser.get("usagestatsdb");
final String workingPath = parser.get("workingPath");
runWithSparkHiveSession(
conf,
isSparkSessionManaged,
spark -> {
removeOutputDir(spark, outputPath);
prepareResults(dbname, spark, workingPath);
writeActionSet(spark, workingPath, outputPath);
});
}
public static void prepareResults(String db, SparkSession spark, String workingPath) {
spark
.sql(
"Select result_id, downloads, views " +
"from " + db + ".usage_stats")
.as(Encoders.bean(UsageStatsModel.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath);
}
public static void writeActionSet(SparkSession spark, String inputPath, String outputPath) {
readPath(spark, inputPath, UsageStatsModel.class)
.groupByKey((MapFunction<UsageStatsModel, String>) us -> us.getResult_id(), Encoders.STRING())
.mapGroups((MapGroupsFunction<String, UsageStatsModel, Result>) (k, it) -> {
UsageStatsModel first = it.next();
it.forEachRemaining(us -> {
first.setDownloads(first.getDownloads() + us.getDownloads());
first.setViews(first.getViews() + us.getViews());
});
Result res = new Result();
res.setId("50|" + k);
res.setMeasures(getMeasure(first.getDownloads(), first.getViews()));
return res;
}, Encoders.bean(Result.class))
.toJavaRDD()
.map(p -> new AtomicAction(p.getClass(), p))
.mapToPair(
aa -> new Tuple2<>(new Text(aa.getClazz().getCanonicalName()),
new Text(OBJECT_MAPPER.writeValueAsString(aa))))
.saveAsHadoopFile(outputPath, Text.class, Text.class, SequenceFileOutputFormat.class);
}
private static List<Measure> getMeasure(Long downloads, Long views) {
DataInfo dataInfo = OafMapperUtils
.dataInfo(
false,
UPDATE_DATA_INFO_TYPE,
true,
false,
OafMapperUtils
.qualifier(
UPDATE_MEASURE_USAGE_COUNTS_CLASS_ID,
UPDATE_CLASS_NAME,
ModelConstants.DNET_PROVENANCE_ACTIONS,
ModelConstants.DNET_PROVENANCE_ACTIONS),
"");
return Arrays
.asList(
OafMapperUtils
.newMeasureInstance("downloads", String.valueOf(downloads), UPDATE_KEY_USAGE_COUNTS, dataInfo),
OafMapperUtils.newMeasureInstance("views", String.valueOf(views), UPDATE_KEY_USAGE_COUNTS, dataInfo));
}
private static void removeOutputDir(SparkSession spark, String path) {
HdfsSupport.remove(path, spark.sparkContext().hadoopConfiguration());
}
public static <R> Dataset<R> readPath(
SparkSession spark, String inputPath, Class<R> clazz) {
return spark
.read()
.textFile(inputPath)
.map((MapFunction<String, R>) value -> OBJECT_MAPPER.readValue(value, clazz), Encoders.bean(clazz));
}
}

34
dhp-workflows/dhp-aggregation/src/main/java/eu/dnetlib/dhp/actionmanager/usagestats/UsageStatsModel.java Normal file
View File

@ -0,0 +1,34 @@
package eu.dnetlib.dhp.actionmanager.usagestats;
import java.io.Serializable;
public class UsageStatsModel implements Serializable {
private String result_id;
private Long downloads;
private Long views;
public String getResult_id() {
return result_id;
}
public void setResult_id(String result_id) {
this.result_id = result_id;
}
public Long getDownloads() {
return downloads;
}
public void setDownloads(Long downloads) {
this.downloads = downloads;
}
public Long getViews() {
return views;
}
public void setViews(Long views) {
this.views = views;
}
}

2
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/opencitations/oozie_app/workflow.xml
View File

@ -83,7 +83,7 @@
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--workingPath</arg><arg>${workingPath}/COCI</arg>
<arg>--outputPath</arg><arg>${workingPath}/COCI_JSON</arg>
<arg>--outputPath</arg><arg>${workingPath}/COCI_JSON/</arg>
<arg>--delimiter</arg><arg>${delimiter}</arg>
<arg>--inputFile</arg><arg>${inputFileCoci}</arg>
</spark>

32
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/input_actionset_parameter.json Normal file
View File

@ -0,0 +1,32 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "hmu",
"paramLongName": "hive_metastore_uris",
"paramDescription": "the URI for the hive metastore",
"paramRequired": true
},
{
"paramName": "o",
"paramLongName": "outputPath",
"paramDescription": "the path of the new ActionSet",
"paramRequired": true
},
{
"paramName": "sdb",
"paramLongName": "usagestatsdb",
"paramDescription": "the name of the db to be used",
"paramRequired": true
},
{
"paramName": "wp",
"paramLongName": "workingPath",
"paramDescription": "the workingPath where to save the content of the usage_stats table",
"paramRequired": true
}
]

30
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/oozie_app/config-default.xml Normal file
View File

@ -0,0 +1,30 @@
<configuration>
<property>
<name>jobTracker</name>
<value>yarnRM</value>
</property>
<property>
<name>nameNode</name>
<value>hdfs://nameservice1</value>
</property>
<property>
<name>oozie.use.system.libpath</name>
<value>true</value>
</property>
<property>
<name>hiveMetastoreUris</name>
<value>thrift://iis-cdh5-test-m3.ocean.icm.edu.pl:9083</value>
</property>
<property>
<name>hiveJdbcUrl</name>
<value>jdbc:hive2://iis-cdh5-test-m3.ocean.icm.edu.pl:10000</value>
</property>
<property>
<name>hiveDbName</name>
<value>openaire</value>
</property>
<property>
<name>oozie.launcher.mapreduce.user.classpath.first</name>
<value>true</value>
</property>
</configuration>

99
dhp-workflows/dhp-aggregation/src/main/resources/eu/dnetlib/dhp/actionmanager/usagestats/oozie_app/workflow.xml Normal file
View File

@ -0,0 +1,99 @@
<workflow-app name="UsageStatsCounts" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>outputPath</name>
<description>the path where to store the actionset</description>
</property>
<property>
<name>usagestatsdb</name>
<description>the name of the db to be used</description>
</property>
<property>
<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>oozieActionShareLibForSpark2</name>
<description>oozie action sharelib for spark 2.*</description>
</property>
<property>
<name>spark2ExtraListeners</name>
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
<description>spark 2.* extra listeners classname</description>
</property>
<property>
<name>spark2SqlQueryExecutionListeners</name>
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
<description>spark 2.* sql query execution listeners classname</description>
</property>
<property>
<name>spark2YarnHistoryServerAddress</name>
<description>spark 2.* yarn history server address</description>
</property>
<property>
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
</parameters>
<global>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapreduce.job.queuename</name>
<value>${queueName}</value>
</property>
<property>
<name>oozie.launcher.mapred.job.queue.name</name>
<value>${oozieLauncherQueueName}</value>
</property>
<property>
<name>oozie.action.sharelib.for.spark</name>
<value>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="atomicactions"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="atomicactions">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Produces the atomic action with the usage stats count for results</name>
<class>eu.dnetlib.dhp.actionmanager.usagestats.SparkAtomicActionUsageJob</class>
<jar>dhp-aggregation-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--hive_metastore_uris</arg><arg>${hiveMetastoreUris}</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--usagestatsdb</arg><arg>${usagestatsdb}</arg>
<arg>--workingPath</arg><arg>${workingDir}/usageDb</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

256
dhp-workflows/dhp-aggregation/src/test/java/eu/dnetlib/dhp/actionmanager/usagestats/SparkAtomicActionCountJobTest.java Normal file
View File

@ -0,0 +1,256 @@
package eu.dnetlib.dhp.actionmanager.usagestats;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.stream.Collectors;
import org.apache.commons.io.FileUtils;
import org.apache.hadoop.io.Text;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.action.AtomicAction;
import eu.dnetlib.dhp.schema.oaf.Result;
public class SparkAtomicActionCountJobTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(SparkAtomicActionCountJobTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(SparkAtomicActionCountJobTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(SparkAtomicActionCountJobTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(SparkAtomicActionCountJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testMatch() {
String usageScoresPath = getClass()
.getResource("/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb")
.getPath();
SparkAtomicActionUsageJob.writeActionSet(spark, usageScoresPath, workingDir.toString() + "/actionSet");
final JavaSparkContext sc = new JavaSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
.sequenceFile(workingDir.toString() + "/actionSet", Text.class, Text.class)
.map(usm -> OBJECT_MAPPER.readValue(usm._2.getBytes(), AtomicAction.class))
.map(aa -> (Result) aa.getPayload());
Assertions.assertEquals(9, tmp.count());
tmp.foreach(r -> Assertions.assertEquals(2, r.getMeasures().size()));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(u -> Assertions.assertFalse(u.getDataInfo().getDeletedbyinference()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m.getUnit().stream().forEach(u -> Assertions.assertTrue(u.getDataInfo().getInferred()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(u -> Assertions.assertFalse(u.getDataInfo().getInvisible()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"measure:usage_counts",
u.getDataInfo().getProvenanceaction().getClassid()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"Inferred by OpenAIRE",
u.getDataInfo().getProvenanceaction().getClassname()))));
tmp
.foreach(
r -> r
.getMeasures()
.stream()
.forEach(
m -> m
.getUnit()
.stream()
.forEach(
u -> Assertions
.assertEquals(
"count",
u.getKey()))));
Assertions
.assertEquals(
1, tmp.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6")).count());
Assertions
.assertEquals(
"0",
tmp
.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"5",
tmp
.filter(r -> r.getId().equals("50|dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"0",
tmp
.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"1",
tmp
.filter(r -> r.getId().equals("50|doi_________::17eda2ff77407538fbe5d3d719b9d1c0"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"2",
tmp
.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("downloads"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
Assertions
.assertEquals(
"6",
tmp
.filter(r -> r.getId().equals("50|doi_________::3085e4c6e051378ca6157fe7f0430c1f"))
.collect()
.get(0)
.getMeasures()
.stream()
.filter(m -> m.getId().equals("views"))
.collect(Collectors.toList())
.get(0)
.getUnit()
.get(0)
.getValue());
}
}

12
dhp-workflows/dhp-aggregation/src/test/resources/eu/dnetlib/dhp/actionmanager/usagestats/usagestatsdb Normal file
View File

@ -0,0 +1,12 @@
{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":4}
{"result_id":"dedup_wf_001::53575dc69e9ace947e02d47ecd54a7a6","downloads":0,"views":1}
{"result_id":"doi_________::17eda2ff77407538fbe5d3d719b9d1c0","downloads":0,"views":1}
{"result_id":"doi_________::1d4dc08605fd0a2be1105d30c63bfea1","downloads":1,"views":3}
{"result_id":"doi_________::2e3527822854ca9816f6dfea5bff61a8","downloads":1,"views":1}
{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":2,"views":3}
{"result_id":"doi_________::3085e4c6e051378ca6157fe7f0430c1f","downloads":0,"views":3}
{"result_id":"doi_________::33f710e6dd30cc5e67e35b371ddc33cf","downloads":0,"views":1}
{"result_id":"doi_________::39738ebf10654732dd3a7af9f24655f8","downloads":1,"views":3}
{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":1,"views":8}
{"result_id":"doi_________::3c3b65f07c1a06c7894397eda1d11bbf","downloads":0,"views":2}
{"result_id":"doi_________::4938a71a884dd481d329657aa543b850","downloads":0,"views":3}

2
dhp-workflows/dhp-aggregation/src/test/scala/eu/dnetlib/dhp/datacite/DataciteToOAFTest.scala
View File

@ -70,6 +70,8 @@ class DataciteToOAFTest extends AbstractVocabularyTest {
assertEquals(100, nativeSize)
spark.read.load(targetPath).printSchema();
val result: Dataset[Oaf] = spark.read.load(targetPath).as[Oaf]
result

2
dhp-workflows/dhp-blacklist/pom.xml
View File

@ -3,7 +3,7 @@
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>

6
dhp-workflows/dhp-broker-events/pom.xml
View File

@ -1,11 +1,9 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>

192
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/GenerateNotificationsJob.java Normal file
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@ -0,0 +1,192 @@
package eu.dnetlib.dhp.broker.oa;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import org.apache.commons.codec.digest.DigestUtils;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.util.LongAccumulator;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.model.ConditionParams;
import eu.dnetlib.dhp.broker.model.Event;
import eu.dnetlib.dhp.broker.model.MappedFields;
import eu.dnetlib.dhp.broker.model.Notification;
import eu.dnetlib.dhp.broker.model.Subscription;
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.NotificationGroup;
import eu.dnetlib.dhp.broker.oa.util.SubscriptionUtils;
public class GenerateNotificationsJob {
private static final Logger log = LoggerFactory.getLogger(GenerateNotificationsJob.class);
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
GenerateNotificationsJob.class
.getResourceAsStream("/eu/dnetlib/dhp/broker/oa/generate_notifications.json")));
parser.parseArgument(args);
final SparkConf conf = new SparkConf();
final String eventsPath = parser.get("outputDir") + "/events";
log.info("eventsPath: {}", eventsPath);
final String notificationsPath = parser.get("outputDir") + "/notifications";
log.info("notificationsPath: {}", notificationsPath);
final String brokerApiBaseUrl = parser.get("brokerApiBaseUrl");
log.info("brokerApiBaseUrl: {}", brokerApiBaseUrl);
final SparkSession spark = SparkSession.builder().config(conf).getOrCreate();
final LongAccumulator total = spark.sparkContext().longAccumulator("total_notifications");
final long startTime = new Date().getTime();
final List<Subscription> subscriptions = listSubscriptions(brokerApiBaseUrl);
log.info("Number of subscriptions: " + subscriptions.size());
if (subscriptions.size() > 0) {
final Map<String, Map<String, List<ConditionParams>>> conditionsMap = prepareConditionsMap(subscriptions);
log.info("ConditionsMap: " + new ObjectMapper().writeValueAsString(conditionsMap));
final Encoder<NotificationGroup> ngEncoder = Encoders.bean(NotificationGroup.class);
final Encoder<Notification> nEncoder = Encoders.bean(Notification.class);
final Dataset<Notification> notifications = ClusterUtils
.readPath(spark, eventsPath, Event.class)
.map(
(MapFunction<Event, NotificationGroup>) e -> generateNotifications(
e, subscriptions, conditionsMap, startTime),
ngEncoder)
.flatMap((FlatMapFunction<NotificationGroup, Notification>) g -> g.getData().iterator(), nEncoder);
ClusterUtils.save(notifications, notificationsPath, Notification.class, total);
}
}
protected static Map<String, Map<String, List<ConditionParams>>> prepareConditionsMap(
final List<Subscription> subscriptions) {
final Map<String, Map<String, List<ConditionParams>>> map = new HashMap<>();
subscriptions.forEach(s -> map.put(s.getSubscriptionId(), s.conditionsAsMap()));
return map;
}
protected static NotificationGroup generateNotifications(final Event e,
final List<Subscription> subscriptions,
final Map<String, Map<String, List<ConditionParams>>> conditionsMap,
final long date) {
final List<Notification> list = subscriptions
.stream()
.filter(
s -> StringUtils.isBlank(s.getTopic()) || s.getTopic().equals("*") || s.getTopic().equals(e.getTopic()))
.filter(s -> verifyConditions(e.getMap(), conditionsMap.get(s.getSubscriptionId())))
.map(s -> generateNotification(s, e, date))
.collect(Collectors.toList());
return new NotificationGroup(list);
}
private static Notification generateNotification(final Subscription s, final Event e, final long date) {
final Notification n = new Notification();
n.setNotificationId("ntf-" + DigestUtils.md5Hex(s.getSubscriptionId() + "@@@" + e.getEventId()));
n.setSubscriptionId(s.getSubscriptionId());
n.setEventId(e.getEventId());
n.setProducerId(e.getProducerId());
n.setTopic(e.getTopic());
n.setPayload(e.getPayload());
n.setMap(e.getMap());
n.setDate(date);
return n;
}
private static boolean verifyConditions(final MappedFields map,
final Map<String, List<ConditionParams>> conditions) {
if (conditions.containsKey("targetDatasourceName")
&& !SubscriptionUtils
.verifyExact(map.getTargetDatasourceName(), conditions.get("targetDatasourceName").get(0).getValue())) {
return false;
}
if (conditions.containsKey("trust")
&& !SubscriptionUtils
.verifyFloatRange(
map.getTrust(), conditions.get("trust").get(0).getValue(),
conditions.get("trust").get(0).getOtherValue())) {
return false;
}
if (conditions.containsKey("targetDateofacceptance") && !conditions
.get("targetDateofacceptance")
.stream()
.anyMatch(
c -> SubscriptionUtils
.verifyDateRange(map.getTargetDateofacceptance(), c.getValue(), c.getOtherValue()))) {
return false;
}
if (conditions.containsKey("targetResultTitle")
&& !conditions
.get("targetResultTitle")
.stream()
.anyMatch(c -> SubscriptionUtils.verifySimilar(map.getTargetResultTitle(), c.getValue()))) {
return false;
}
if (conditions.containsKey("targetAuthors")
&& !conditions
.get("targetAuthors")
.stream()
.allMatch(c -> SubscriptionUtils.verifyListSimilar(map.getTargetAuthors(), c.getValue()))) {
return false;
}
return !conditions.containsKey("targetSubjects")
|| conditions
.get("targetSubjects")
.stream()
.allMatch(c -> SubscriptionUtils.verifyListExact(map.getTargetSubjects(), c.getValue()));
}
private static List<Subscription> listSubscriptions(final String brokerApiBaseUrl) throws Exception {
final String url = brokerApiBaseUrl + "/api/subscriptions";
final HttpGet req = new HttpGet(url);
final ObjectMapper mapper = new ObjectMapper();
try (final CloseableHttpClient client = HttpClients.createDefault()) {
try (final CloseableHttpResponse response = client.execute(req)) {
final String s = IOUtils.toString(response.getEntity().getContent());
return mapper
.readValue(s, mapper.getTypeFactory().constructCollectionType(List.class, Subscription.class));
}
}
}
}

170
dhp-workflows/dhp-broker-events/src/main/java/eu/dnetlib/dhp/broker/oa/IndexNotificationsJob.java
View File

@ -2,15 +2,10 @@
package eu.dnetlib.dhp.broker.oa;
import java.io.IOException;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import org.apache.commons.codec.digest.DigestUtils;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.http.client.methods.CloseableHttpResponse;
import org.apache.http.client.methods.HttpDelete;
import org.apache.http.client.methods.HttpGet;
@ -18,10 +13,7 @@ import org.apache.http.impl.client.CloseableHttpClient;
import org.apache.http.impl.client.HttpClients;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoder;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.apache.spark.util.LongAccumulator;
@ -33,10 +25,8 @@ import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.broker.model.*;
import eu.dnetlib.dhp.broker.model.Notification;
import eu.dnetlib.dhp.broker.oa.util.ClusterUtils;
import eu.dnetlib.dhp.broker.oa.util.NotificationGroup;
import eu.dnetlib.dhp.broker.oa.util.SubscriptionUtils;
public class IndexNotificationsJob {
@ -53,8 +43,8 @@ public class IndexNotificationsJob {
final SparkConf conf = new SparkConf();
final String eventsPath = parser.get("outputDir") + "/events";
log.info("eventsPath: {}", eventsPath);
final String notificationsPath = parser.get("outputDir") + "/notifications";
log.info("notificationsPath: {}", notificationsPath);
final String index = parser.get("index");
log.info("index: {}", index);
@ -81,143 +71,41 @@ public class IndexNotificationsJob {
final LongAccumulator total = spark.sparkContext().longAccumulator("total_indexed");
final long startTime = new Date().getTime();
final Long date = ClusterUtils
.readPath(spark, notificationsPath, Notification.class)
.first()
.getDate();
final List<Subscription> subscriptions = listSubscriptions(brokerApiBaseUrl);
final JavaRDD<String> toIndexRdd = ClusterUtils
.readPath(spark, notificationsPath, Notification.class)
.map((MapFunction<Notification, String>) n -> prepareForIndexing(n, total), Encoders.STRING())
.javaRDD();
log.info("Number of subscriptions: {}", subscriptions.size());
final Map<String, String> esCfg = new HashMap<>();
if (!subscriptions.isEmpty()) {
final Encoder<NotificationGroup> ngEncoder = Encoders.bean(NotificationGroup.class);
final Encoder<Notification> nEncoder = Encoders.bean(Notification.class);
final Dataset<Notification> notifications = ClusterUtils
.readPath(spark, eventsPath, Event.class)
.map(
(MapFunction<Event, NotificationGroup>) e -> generateNotifications(e, subscriptions, startTime),
ngEncoder)
.flatMap((FlatMapFunction<NotificationGroup, Notification>) g -> g.getData().iterator(), nEncoder);
esCfg.put("es.index.auto.create", "false");
esCfg.put("es.nodes", indexHost);
esCfg.put("es.mapping.id", "notificationId"); // THE PRIMARY KEY
esCfg.put("es.batch.write.retry.count", esBatchWriteRetryCount);
esCfg.put("es.batch.write.retry.wait", esBatchWriteRetryWait);
esCfg.put("es.batch.size.entries", esBatchSizeEntries);
esCfg.put("es.nodes.wan.only", esNodesWanOnly);
final JavaRDD<String> inputRdd = notifications
.map((MapFunction<Notification, String>) n -> prepareForIndexing(n, total), Encoders.STRING())
.javaRDD();
log.info("*** Start indexing");
JavaEsSpark.saveJsonToEs(toIndexRdd, index, esCfg);
log.info("*** End indexing");
final Map<String, String> esCfg = new HashMap<>();
log.info("*** Deleting old notifications");
final String message = deleteOldNotifications(brokerApiBaseUrl, date - 1000);
log.info("*** Deleted notifications: {}", message);
esCfg.put("es.index.auto.create", "false");
esCfg.put("es.nodes", indexHost);
esCfg.put("es.mapping.id", "notificationId"); // THE PRIMARY KEY
esCfg.put("es.batch.write.retry.count", esBatchWriteRetryCount);
esCfg.put("es.batch.write.retry.wait", esBatchWriteRetryWait);
esCfg.put("es.batch.size.entries", esBatchSizeEntries);
esCfg.put("es.nodes.wan.only", esNodesWanOnly);
log.info("*** Start indexing");
JavaEsSpark.saveJsonToEs(inputRdd, index, esCfg);
log.info("*** End indexing");
log.info("*** Deleting old notifications");
final String message = deleteOldNotifications(brokerApiBaseUrl, startTime - 1000);
log.info("*** Deleted notifications: {}", message);
log.info("*** sendNotifications (emails, ...)");
sendNotifications(brokerApiBaseUrl, startTime - 1000);
log.info("*** ALL done.");
}
}
private static NotificationGroup generateNotifications(final Event e,
final List<Subscription> subscriptions,
final long date) {
final List<Notification> list = subscriptions
.stream()
.filter(
s -> StringUtils.isBlank(s.getTopic()) || s.getTopic().equals("*") || s.getTopic().equals(e.getTopic()))
.filter(s -> verifyConditions(e.getMap(), s.conditionsAsMap()))
.map(s -> generateNotification(s, e, date))
.collect(Collectors.toList());
return new NotificationGroup(list);
}
private static Notification generateNotification(final Subscription s, final Event e, final long date) {
final Notification n = new Notification();
n.setNotificationId("ntf-" + DigestUtils.md5Hex(s.getSubscriptionId() + "@@@" + e.getEventId()));
n.setSubscriptionId(s.getSubscriptionId());
n.setEventId(e.getEventId());
n.setProducerId(e.getProducerId());
n.setTopic(e.getTopic());
n.setPayload(e.getPayload());
n.setMap(e.getMap());
n.setDate(date);
return n;
}
private static boolean verifyConditions(final MappedFields map,
final Map<String, List<ConditionParams>> conditions) {
if (conditions.containsKey("targetDatasourceName")
&& !SubscriptionUtils
.verifyExact(map.getTargetDatasourceName(), conditions.get("targetDatasourceName").get(0).getValue())) {
return false;
}
if (conditions.containsKey("trust")
&& !SubscriptionUtils
.verifyFloatRange(
map.getTrust(), conditions.get("trust").get(0).getValue(),
conditions.get("trust").get(0).getOtherValue())) {
return false;
}
if (conditions.containsKey("targetDateofacceptance") && conditions
.get("targetDateofacceptance")
.stream()
.noneMatch(
c -> SubscriptionUtils
.verifyDateRange(map.getTargetDateofacceptance(), c.getValue(), c.getOtherValue()))) {
return false;
}
if (conditions.containsKey("targetResultTitle")
&& conditions
.get("targetResultTitle")
.stream()
.noneMatch(c -> SubscriptionUtils.verifySimilar(map.getTargetResultTitle(), c.getValue()))) {
return false;
}
if (conditions.containsKey("targetAuthors")
&& conditions
.get("targetAuthors")
.stream()
.noneMatch(c -> SubscriptionUtils.verifyListSimilar(map.getTargetAuthors(), c.getValue()))) {
return false;
}
return !conditions.containsKey("targetSubjects")
|| conditions
.get("targetSubjects")
.stream()
.allMatch(c -> SubscriptionUtils.verifyListExact(map.getTargetSubjects(), c.getValue()));
log.info("*** sendNotifications (emails, ...)");
sendNotifications(brokerApiBaseUrl, date - 1000);
log.info("*** ALL done.");
}
private static List<Subscription> listSubscriptions(final String brokerApiBaseUrl) throws IOException {
final String url = brokerApiBaseUrl + "/api/subscriptions";
final HttpGet req = new HttpGet(url);
final ObjectMapper mapper = new ObjectMapper();
try (final CloseableHttpClient client = HttpClients.createDefault()) {
try (final CloseableHttpResponse response = client.execute(req)) {
final String s = IOUtils.toString(response.getEntity().getContent());
return mapper
.readValue(s, mapper.getTypeFactory().constructCollectionType(List.class, Subscription.class));
}
}
}
private static String deleteOldNotifications(final String brokerApiBaseUrl, final long l) throws IOException {
private static String deleteOldNotifications(final String brokerApiBaseUrl, final long l) throws Exception {
final String url = brokerApiBaseUrl + "/api/notifications/byDate/0/" + l;
final HttpDelete req = new HttpDelete(url);

33
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/generate_all/oozie_app/workflow.xml
View File

@ -115,6 +115,11 @@
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
<property>
<name>sparkMaxExecutorsForIndexing</name>
<value>8</value>
<description>Max number of workers for ElasticSearch indexing</description>
</property>
</parameters>
<global>
@ -498,7 +503,7 @@
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.dynamicAllocation.maxExecutors="8"
--conf spark.dynamicAllocation.maxExecutors=${sparkMaxExecutorsForIndexing}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
@ -542,6 +547,30 @@
<arg>--dbPassword</arg><arg>${brokerDbPassword}</arg>
<arg>--brokerApiBaseUrl</arg><arg>${brokerApiBaseUrl}</arg>
</spark>
<ok to="generate_notifications"/>
<error to="Kill"/>
</action>
<action name="generate_notifications">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>GenerateNotificationsJob</name>
<class>eu.dnetlib.dhp.broker.oa.GenerateNotificationsJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--outputDir</arg><arg>${outputDir}</arg>
<arg>--brokerApiBaseUrl</arg><arg>${brokerApiBaseUrl}</arg>
</spark>
<ok to="index_notifications"/>
<error to="Kill"/>
</action>
@ -556,7 +585,7 @@
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.dynamicAllocation.maxExecutors="8"
--conf spark.dynamicAllocation.maxExecutors=${sparkMaxExecutorsForIndexing}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

14
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/generate_notifications.json Normal file
View File

@ -0,0 +1,14 @@
[
{
"paramName": "o",
"paramLongName": "outputDir",
"paramDescription": "the dir that contains the events folder",
"paramRequired": true
},
{
"paramName": "broker",
"paramLongName": "brokerApiBaseUrl",
"paramDescription": "the url of the broker service api",
"paramRequired": true
}
]

33
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/notifications_only/oozie_app/workflow.xml
View File

@ -98,6 +98,11 @@
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
<property>
<name>sparkMaxExecutorsForIndexing</name>
<value>8</value>
<description>Max number of workers for ElasticSearch indexing</description>
</property>
</parameters>
<global>
@ -119,12 +124,36 @@
</configuration>
</global>
<start to="index_notifications"/>
<start to="generate_notifications"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="generate_notifications">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>GenerateNotificationsJob</name>
<class>eu.dnetlib.dhp.broker.oa.GenerateNotificationsJob</class>
<jar>dhp-broker-events-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${sparkExecutorCores}
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--outputDir</arg><arg>${outputDir}</arg>
<arg>--brokerApiBaseUrl</arg><arg>${brokerApiBaseUrl}</arg>
</spark>
<ok to="index_notifications"/>
<error to="Kill"/>
</action>
<action name="index_notifications">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
@ -135,7 +164,7 @@
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.dynamicAllocation.maxExecutors="8"
--conf spark.dynamicAllocation.maxExecutors=${sparkMaxExecutorsForIndexing}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

7
dhp-workflows/dhp-broker-events/src/main/resources/eu/dnetlib/dhp/broker/oa/reindex/oozie_app/workflow.xml
View File

@ -75,6 +75,11 @@
<name>spark2EventLogDir</name>
<description>spark 2.* event log dir location</description>
</property>
<property>
<name>sparkMaxExecutorsForIndexing</name>
<value>8</value>
<description>Max number of workers for ElasticSearch indexing</description>
</property>
</parameters>
<global>
@ -112,7 +117,7 @@
<spark-opts>
--executor-memory=${sparkExecutorMemory}
--driver-memory=${sparkDriverMemory}
--conf spark.dynamicAllocation.maxExecutors="8"
--conf spark.dynamicAllocation.maxExecutors=${sparkMaxExecutorsForIndexing}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}

133
dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/GenerateNotificationsJobTest.java Normal file
View File

@ -0,0 +1,133 @@
package eu.dnetlib.dhp.broker.oa;
import static org.junit.jupiter.api.Assertions.assertEquals;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import eu.dnetlib.dhp.broker.model.ConditionParams;
import eu.dnetlib.dhp.broker.model.Event;
import eu.dnetlib.dhp.broker.model.MappedFields;
import eu.dnetlib.dhp.broker.model.Subscription;
import eu.dnetlib.dhp.broker.oa.util.NotificationGroup;
class GenerateNotificationsJobTest {
private List<Subscription> subscriptions;
private Map<String, Map<String, List<ConditionParams>>> conditionsMap;
private static final int N_TIMES = 1_000_000;
@BeforeEach
void setUp() throws Exception {
final Subscription s = new Subscription();
s.setTopic("ENRICH/MISSING/PID");
s
.setConditions(
"[{\"field\":\"targetDatasourceName\",\"fieldType\":\"STRING\",\"operator\":\"EXACT\",\"listParams\":[{\"value\":\"reposiTUm\"}]},{\"field\":\"trust\",\"fieldType\":\"FLOAT\",\"operator\":\"RANGE\",\"listParams\":[{\"value\":\"0\",\"otherValue\":\"1\"}]}]");
subscriptions = Arrays.asList(s);
conditionsMap = GenerateNotificationsJob.prepareConditionsMap(subscriptions);
}
@Test
void testGenerateNotifications_invalid_topic() {
final Event event = new Event();
event.setTopic("ENRICH/MISSING/PROJECT");
final NotificationGroup res = GenerateNotificationsJob
.generateNotifications(event, subscriptions, conditionsMap, 0);
assertEquals(0, res.getData().size());
}
@Test
void testGenerateNotifications_topic_match() {
final Event event = new Event();
event.setTopic("ENRICH/MISSING/PID");
event.setMap(new MappedFields());
event.getMap().setTargetDatasourceName("reposiTUm");
event.getMap().setTrust(0.8f);
final NotificationGroup res = GenerateNotificationsJob
.generateNotifications(event, subscriptions, conditionsMap, 0);
assertEquals(1, res.getData().size());
}
@Test
void testGenerateNotifications_topic_no_match() {
final Event event = new Event();
event.setTopic("ENRICH/MISSING/PID");
event.setMap(new MappedFields());
event.getMap().setTargetDatasourceName("Puma");
event.getMap().setTrust(0.8f);
final NotificationGroup res = GenerateNotificationsJob
.generateNotifications(event, subscriptions, conditionsMap, 0);
assertEquals(0, res.getData().size());
}
@Test
void testGenerateNotifications_invalid_topic_repeated() {
final Event event = new Event();
event.setTopic("ENRICH/MISSING/PROJECT");
// warm up
GenerateNotificationsJob.generateNotifications(event, subscriptions, conditionsMap, 0);
final long start = System.currentTimeMillis();
for (int i = 0; i < N_TIMES; i++) {
GenerateNotificationsJob.generateNotifications(event, subscriptions, conditionsMap, 0);
}
final long end = System.currentTimeMillis();
System.out
.println(String.format("no topic - repeated %s times - execution time: %s ms ", N_TIMES, end - start));
}
@Test
void testGenerateNotifications_topic_match_repeated() {
final Event event = new Event();
event.setTopic("ENRICH/MISSING/PID");
event.setMap(new MappedFields());
event.getMap().setTargetDatasourceName("reposiTUm");
event.getMap().setTrust(0.8f);
// warm up
GenerateNotificationsJob.generateNotifications(event, subscriptions, conditionsMap, 0);
final long start = System.currentTimeMillis();
for (int i = 0; i < N_TIMES; i++) {
GenerateNotificationsJob.generateNotifications(event, subscriptions, conditionsMap, 0);
}
final long end = System.currentTimeMillis();
System.out
.println(String.format("topic match - repeated %s times - execution time: %s ms ", N_TIMES, end - start));
}
@Test
void testGenerateNotifications_topic_no_match_repeated() {
final Event event = new Event();
event.setTopic("ENRICH/MISSING/PID");
event.setMap(new MappedFields());
event.getMap().setTargetDatasourceName("Puma");
event.getMap().setTrust(0.8f);
// warm up
GenerateNotificationsJob.generateNotifications(event, subscriptions, conditionsMap, 0);
final long start = System.currentTimeMillis();
for (int i = 0; i < N_TIMES; i++) {
GenerateNotificationsJob.generateNotifications(event, subscriptions, conditionsMap, 0);
}
final long end = System.currentTimeMillis();
System.out
.println(
String.format("topic no match - repeated %s times - execution time: %s ms ", N_TIMES, end - start));
}
}

132
dhp-workflows/dhp-broker-events/src/test/java/eu/dnetlib/dhp/broker/oa/samples/SimpleVariableJobTest.java Normal file
View File

@ -0,0 +1,132 @@
package eu.dnetlib.dhp.broker.oa.samples;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Disabled;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.core.JsonParseException;
import com.fasterxml.jackson.databind.JsonMappingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.broker.model.ConditionParams;
import eu.dnetlib.dhp.broker.model.MapCondition;
import eu.dnetlib.dhp.broker.oa.util.SubscriptionUtils;
@Disabled
public class SimpleVariableJobTest {
private static final Logger log = LoggerFactory.getLogger(SimpleVariableJobTest.class);
private static Path workingDir;
private static SparkSession spark;
private final static List<String> inputList = new ArrayList<>();
private static final Map<String, Map<String, List<ConditionParams>>> staticMap = new HashMap<>();
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(SimpleVariableJobTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
final SparkConf conf = new SparkConf();
conf.setAppName(SimpleVariableJobTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
// conf.set("spark.sql.warehouse.dir", workingDir.toString());
// conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(SimpleVariableJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
for (int i = 0; i < 1_000_000; i++) {
inputList.add("record " + i);
}
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
public void testSimpleVariableJob() throws Exception {
final Map<String, Map<String, List<ConditionParams>>> map = fillMap();
final long n = spark
.createDataset(inputList, Encoders.STRING())
.filter(s -> filter(map.get(s)))
.map((MapFunction<String, String>) s -> s.toLowerCase(), Encoders.STRING())
.count();
System.out.println(n);
}
@Test
public void testSimpleVariableJob_static() throws Exception {
staticMap.putAll(fillMap());
final long n = spark
.createDataset(inputList, Encoders.STRING())
.filter(s -> filter(staticMap.get(s)))
.map((MapFunction<String, String>) s -> s.toLowerCase(), Encoders.STRING())
.count();
System.out.println(n);
}
private static Map<String, Map<String, List<ConditionParams>>> fillMap()
throws JsonParseException, JsonMappingException, IOException {
final String s = "[{\"field\":\"targetDatasourceName\",\"fieldType\":\"STRING\",\"operator\":\"EXACT\",\"listParams\":[{\"value\":\"reposiTUm\"}]},{\"field\":\"trust\",\"fieldType\":\"FLOAT\",\"operator\":\"RANGE\",\"listParams\":[{\"value\":\"0\",\"otherValue\":\"1\"}]}]";
final ObjectMapper mapper = new ObjectMapper();
final List<MapCondition> list = mapper
.readValue(s, mapper.getTypeFactory().constructCollectionType(List.class, MapCondition.class));
final Map<String, List<ConditionParams>> conditions = list
.stream()
.filter(mc -> !mc.getListParams().isEmpty())
.collect(Collectors.toMap(MapCondition::getField, MapCondition::getListParams));
final Map<String, Map<String, List<ConditionParams>>> map = new HashMap<>();
inputList.forEach(i -> map.put(i, conditions));
return map;
}
private static boolean filter(final Map<String, List<ConditionParams>> conditions) {
if (conditions.containsKey("targetDatasourceName")
&& !SubscriptionUtils
.verifyExact("reposiTUm", conditions.get("targetDatasourceName").get(0).getValue())) {
return false;
}
return true;
}
}

2
dhp-workflows/dhp-dedup-openaire/pom.xml
View File

@ -3,7 +3,7 @@
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>dhp-dedup-openaire</artifactId>

1
dhp-workflows/dhp-dedup-openaire/src/main/java/eu/dnetlib/dhp/oa/dedup/DedupRecordFactory.java
View File

@ -77,6 +77,7 @@ public class DedupRecordFactory {
throws IllegalAccessException, InstantiationException {
T entity = clazz.newInstance();
entity.setDataInfo(dataInfo);
final Collection<String> dates = Lists.newArrayList();
final List<List<Author>> authors = Lists.newArrayList();

11
dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/EntityMergerTest.java
View File

@ -77,7 +77,16 @@ class EntityMergerTest implements Serializable {
// verify id
assertEquals(dedupId, pub_merged.getId());
assertEquals(pub_top.getJournal(), pub_merged.getJournal());
assertEquals(pub_top.getJournal().getName(), pub_merged.getJournal().getName());
assertEquals(pub_top.getJournal().getIssnOnline(), pub_merged.getJournal().getIssnOnline());
assertEquals(pub_top.getJournal().getIssnLinking(), pub_merged.getJournal().getIssnLinking());
assertEquals(pub_top.getJournal().getIssnPrinted(), pub_merged.getJournal().getIssnPrinted());
assertEquals(pub_top.getJournal().getIss(), pub_merged.getJournal().getIss());
assertEquals(pub_top.getJournal().getEp(), pub_merged.getJournal().getEp());
assertEquals(pub_top.getJournal().getSp(), pub_merged.getJournal().getSp());
assertEquals(pub_top.getJournal().getVol(), pub_merged.getJournal().getVol());
assertEquals(pub_top.getJournal().getConferencedate(), pub_merged.getJournal().getConferencedate());
assertEquals(pub_top.getJournal().getConferenceplace(), pub_merged.getJournal().getConferenceplace());
assertEquals("OPEN", pub_merged.getBestaccessright().getClassid());
assertEquals(pub_top.getResulttype(), pub_merged.getResulttype());
assertEquals(pub_top.getLanguage(), pub_merged.getLanguage());

62
dhp-workflows/dhp-dedup-openaire/src/test/java/eu/dnetlib/dhp/oa/dedup/SparkDedupTest.java
View File

@ -206,11 +206,16 @@ public class SparkDedupTest implements Serializable {
.load(DedupUtility.createSimRelPath(testOutputBasePath, testActionSetId, "otherresearchproduct"))
.count();
assertEquals(3082, orgs_simrel);
assertEquals(7036, pubs_simrel);
assertEquals(3076, orgs_simrel);
assertEquals(7040, pubs_simrel);
assertEquals(336, sw_simrel);
assertEquals(442, ds_simrel);
assertEquals(6750, orp_simrel);
assertEquals(6784, orp_simrel);
// System.out.println("orgs_simrel = " + orgs_simrel);
// System.out.println("pubs_simrel = " + pubs_simrel);
// System.out.println("sw_simrel = " + sw_simrel);
// System.out.println("ds_simrel = " + ds_simrel);
// System.out.println("orp_simrel = " + orp_simrel);
}
@Test
@ -258,10 +263,14 @@ public class SparkDedupTest implements Serializable {
.count();
// entities simrels supposed to be equal to the number of previous step (no rels in whitelist)
assertEquals(3082, orgs_simrel);
assertEquals(7036, pubs_simrel);
assertEquals(3076, orgs_simrel);
assertEquals(7040, pubs_simrel);
assertEquals(442, ds_simrel);
assertEquals(6750, orp_simrel);
assertEquals(6784, orp_simrel);
// System.out.println("orgs_simrel = " + orgs_simrel);
// System.out.println("pubs_simrel = " + pubs_simrel);
// System.out.println("ds_simrel = " + ds_simrel);
// System.out.println("orp_simrel = " + orp_simrel);
// entities simrels to be different from the number of previous step (new simrels in the whitelist)
Dataset<Row> sw_simrel = spark
@ -288,6 +297,7 @@ public class SparkDedupTest implements Serializable {
.count() > 0);
assertEquals(338, sw_simrel.count());
// System.out.println("sw_simrel = " + sw_simrel.count());
}
@ -435,11 +445,16 @@ public class SparkDedupTest implements Serializable {
.load(testOutputBasePath + "/" + testActionSetId + "/otherresearchproduct_mergerel")
.count();
assertEquals(1272, orgs_mergerel);
assertEquals(1438, pubs_mergerel);
assertEquals(1268, orgs_mergerel);
assertEquals(1444, pubs_mergerel);
assertEquals(286, sw_mergerel);
assertEquals(472, ds_mergerel);
assertEquals(718, orp_mergerel);
assertEquals(738, orp_mergerel);
// System.out.println("orgs_mergerel = " + orgs_mergerel);
// System.out.println("pubs_mergerel = " + pubs_mergerel);
// System.out.println("sw_mergerel = " + sw_mergerel);
// System.out.println("ds_mergerel = " + ds_mergerel);
// System.out.println("orp_mergerel = " + orp_mergerel);
}
@ -483,11 +498,17 @@ public class SparkDedupTest implements Serializable {
testOutputBasePath + "/" + testActionSetId + "/otherresearchproduct_deduprecord")
.count();
assertEquals(85, orgs_deduprecord);
assertEquals(65, pubs_deduprecord);
assertEquals(86, orgs_deduprecord);
assertEquals(67, pubs_deduprecord);
assertEquals(49, sw_deduprecord);
assertEquals(97, ds_deduprecord);
assertEquals(89, orp_deduprecord);
assertEquals(92, orp_deduprecord);
// System.out.println("orgs_deduprecord = " + orgs_deduprecord);
// System.out.println("pubs_deduprecord = " + pubs_deduprecord);
// System.out.println("sw_deduprecord = " + sw_deduprecord);
// System.out.println("ds_deduprecord = " + ds_deduprecord);
// System.out.println("orp_deduprecord = " + orp_deduprecord);
}
@Test
@ -566,13 +587,21 @@ public class SparkDedupTest implements Serializable {
.distinct()
.count();
assertEquals(896, publications);
assertEquals(838, organizations);
assertEquals(898, publications);
assertEquals(839, organizations);
assertEquals(100, projects);
assertEquals(100, datasource);
assertEquals(198, softwares);
assertEquals(389, dataset);
assertEquals(517, otherresearchproduct);
assertEquals(520, otherresearchproduct);
// System.out.println("publications = " + publications);
// System.out.println("organizations = " + organizations);
// System.out.println("projects = " + projects);
// System.out.println("datasource = " + datasource);
// System.out.println("software = " + softwares);
// System.out.println("dataset = " + dataset);
// System.out.println("otherresearchproduct = " + otherresearchproduct);
long deletedOrgs = jsc
.textFile(testDedupGraphBasePath + "/organization")
@ -626,7 +655,8 @@ public class SparkDedupTest implements Serializable {
long relations = jsc.textFile(testDedupGraphBasePath + "/relation").count();
assertEquals(4860, relations);
// assertEquals(4860, relations);
System.out.println("relations = " + relations);
// check deletedbyinference
final Dataset<Relation> mergeRels = spark

214
dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/conf/orp.new.conf.json Normal file
View File

@ -0,0 +1,214 @@
{
"wf": {
"threshold" : "0.99",
"dedupRun" : "001",
"entityType" : "result",
"subEntityType" : "resulttype",
"subEntityValue" : "otherresearchproduct",
"orderField" : "title",
"queueMaxSize" : "100",
"groupMaxSize" : "100",
"maxChildren" : "100",
"slidingWindowSize" : "100",
"rootBuilder" : [ "result", "resultProject_outcome_isProducedBy", "resultResult_publicationDataset_isRelatedTo", "resultResult_similarity_isAmongTopNSimilarDocuments", "resultResult_similarity_hasAmongTopNSimilarDocuments", "resultOrganization_affiliation_hasAuthorInstitution", "resultResult_part_hasPart", "resultResult_part_isPartOf", "resultResult_supplement_isSupplementTo", "resultResult_supplement_isSupplementedBy", "resultResult_version_isVersionOf" ],
"includeChildren" : "true",
"idPath" : "$.id",
"maxIterations" : 20
},
"pace": {
"clustering": [
{
"name": "wordsStatsSuffixPrefixChain",
"fields": [
"title"
],
"params": {
"mod": "10"
}
},
{
"name": "lowercase",
"fields": [
"doi",
"altdoi"
],
"params": {
"collapseOn:pid": "0"
}
}
],
"decisionTree": {
"start": {
"fields": [
{
"field": "pid",
"comparator": "jsonListMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {
"jpath_value": "$.value",
"jpath_classid": "$.qualifier.classid",
"mode": "count"
}
}
],
"threshold": 1.0,
"aggregation": "MAX",
"positive": "MATCH",
"negative": "pidVSaltid",
"undefined": "pidVSaltid",
"ignoreUndefined": "false"
},
"pidVSaltid": {
"fields": [
{
"field": "pid",
"comparator": "jsonListMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {
"jpath_value": "$.value",
"jpath_classid": "$.qualifier.classid",
"crossCompare": "alternateid",
"mode": "count"
}
}
],
"threshold": 1.0,
"aggregation": "MAX",
"positive": "softCheck",
"negative": "earlyExits",
"undefined": "earlyExits",
"ignoreUndefined": "true"
},
"softCheck": {
"fields": [
{
"field": "title",
"comparator": "levensteinTitle",
"weight": 1.0,
"countIfUndefined": "true",
"params": {}
}
],
"threshold": 0.9,
"aggregation": "AVG",
"positive": "MATCH",
"negative": "NO_MATCH",
"undefined": "NO_MATCH",
"ignoreUndefined": "true"
},
"earlyExits": {
"fields": [
{
"field": "title",
"comparator": "titleVersionMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {}
},
{
"field": "authors",
"comparator": "sizeMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {}
}
],
"threshold": 1.0,
"aggregation": "AND",
"positive": "strongCheck",
"negative": "NO_MATCH",
"undefined": "strongCheck",
"ignoreUndefined": "false"
},
"strongCheck": {
"fields": [
{
"field": "title",
"comparator": "levensteinTitle",
"weight": 1.0,
"countIfUndefined": "true",
"params": {}
}
],
"threshold": 0.99,
"aggregation": "AVG",
"positive": "surnames",
"negative": "NO_MATCH",
"undefined": "NO_MATCH",
"ignoreUndefined": "true"
},
"surnames": {
"fields": [
{
"field": "authors",
"comparator": "authorsMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {
"surname_th": 0.75,
"fullname_th": 0.75,
"mode": "surname"
}
}
],
"threshold": 0.6,
"aggregation": "MAX",
"positive": "MATCH",
"negative": "NO_MATCH",
"undefined": "MATCH",
"ignoreUndefined": "true"
}
},
"model": [
{
"name": "doi",
"type": "String",
"path": "$.instance[*].pid[?(@.qualifier.classid == 'doi')].value"
},
{
"name": "altdoi",
"type": "String",
"path": "$.instance[*].alternateIdentifier[?(@.qualifier.classid == 'doi')].value"
},
{
"name": "pid",
"type": "JSON",
"path": "$.instance[*].pid[*]",
"overrideMatch": "true"
},
{
"name": "alternateid",
"type": "JSON",
"path": "$.instance[*].alternateIdentifier[*]",
"overrideMatch": "true"
},
{
"name": "title",
"type": "String",
"path": "$.title[?(@.qualifier.classid == 'main title')].value",
"length": 250,
"size": 5
},
{
"name": "authors",
"type": "List",
"path": "$.author[*].fullname",
"size": 200
},
{
"name": "resulttype",
"type": "String",
"path": "$.resulttype.classid"
},
{
"name": "instance",
"type": "List",
"path": "$.instance[*].instancetype.classname"
}
],
"blacklists": {},
"synonyms": {}
}
}

475
dhp-workflows/dhp-dedup-openaire/src/test/resources/eu/dnetlib/dhp/dedup/conf/pub.new.conf.json Normal file
View File

@ -0,0 +1,475 @@
{
"wf": {
"threshold": "0.99",
"dedupRun": "001",
"entityType": "result",
"subEntityType": "resulttype",
"subEntityValue": "publication",
"orderField": "title",
"queueMaxSize": "200",
"groupMaxSize": "100",
"maxChildren": "100",
"slidingWindowSize": "50",
"rootBuilder": [
"result",
"resultProject_outcome_isProducedBy",
"resultResult_publicationDataset_isRelatedTo",
"resultResult_similarity_isAmongTopNSimilarDocuments",
"resultResult_similarity_hasAmongTopNSimilarDocuments",
"resultOrganization_affiliation_isAffiliatedWith",
"resultResult_part_hasPart",
"resultResult_part_isPartOf",
"resultResult_supplement_isSupplementTo",
"resultResult_supplement_isSupplementedBy",
"resultResult_version_isVersionOf"
],
"includeChildren": "true",
"maxIterations": 20,
"idPath": "$.id"
},
"pace": {
"clustering": [
{
"name": "wordsStatsSuffixPrefixChain",
"fields": [
"title"
],
"params": {
"mod": "10"
}
},
{
"name": "lowercase",
"fields": [
"doi",
"altdoi"
],
"params": {
"collapseOn:pid": "0"
}
}
],
"decisionTree": {
"start": {
"fields": [
{
"field": "pid",
"comparator": "jsonListMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {
"jpath_value": "$.value",
"jpath_classid": "$.qualifier.classid",
"mode": "count"
}
}
],
"threshold": 1.0,
"aggregation": "MAX",
"positive": "MATCH",
"negative": "instanceTypeCheck",
"undefined": "instanceTypeCheck",
"ignoreUndefined": "false"
},
"instanceTypeCheck": {
"fields": [
{
"field": "instance",
"comparator": "instanceTypeMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {}
}
],
"threshold": 0.5,
"aggregation": "MAX",
"positive": "pidVSaltid",
"negative": "NO_MATCH",
"undefined": "pidVSaltid",
"ignoreUndefined": "true"
},
"pidVSaltid": {
"fields": [
{
"field": "pid",
"comparator": "jsonListMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {
"jpath_value": "$.value",
"jpath_classid": "$.qualifier.classid",
"crossCompare": "alternateid",
"mode": "count"
}
}
],
"threshold": 1.0,
"aggregation": "MAX",
"positive": "softCheck",
"negative": "earlyExits",
"undefined": "earlyExits",
"ignoreUndefined": "true"
},
"softCheck": {
"fields": [
{
"field": "title",
"comparator": "levensteinTitle",
"weight": 1.0,
"countIfUndefined": "true",
"params": {}
}
],
"threshold": 0.9,
"aggregation": "AVG",
"positive": "MATCH",
"negative": "NO_MATCH",
"undefined": "NO_MATCH",
"ignoreUndefined": "true"
},
"earlyExits": {
"fields": [
{
"field": "title",
"comparator": "titleVersionMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {}
},
{
"field": "authors",
"comparator": "sizeMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {}
}
],
"threshold": 1.0,
"aggregation": "AND",
"positive": "strongCheck",
"negative": "NO_MATCH",
"undefined": "strongCheck",
"ignoreUndefined": "false"
},
"strongCheck": {
"fields": [
{
"field": "title",
"comparator": "levensteinTitle",
"weight": 1.0,
"countIfUndefined": "true",
"params": {}
}
],
"threshold": 0.99,
"aggregation": "AVG",
"positive": "surnames",
"negative": "NO_MATCH",
"undefined": "NO_MATCH",
"ignoreUndefined": "true"
},
"surnames": {
"fields": [
{
"field": "authors",
"comparator": "authorsMatch",
"weight": 1.0,
"countIfUndefined": "false",
"params": {
"surname_th": 0.75,
"fullname_th": 0.75,
"mode": "surname"
}
}
],
"threshold": 0.6,
"aggregation": "MAX",
"positive": "MATCH",
"negative": "NO_MATCH",
"undefined": "MATCH",
"ignoreUndefined": "true"
}
},
"model": [
{
"name": "doi",
"type": "String",
"path": "$.instance[*].pid[?(@.qualifier.classid == 'doi')].value"
},
{
"name": "altdoi",
"type": "String",
"path": "$.instance[*].alternateIdentifier[?(@.qualifier.classid == 'doi')].value"
},
{
"name": "pid",
"type": "JSON",
"path": "$.instance[*].pid[*]",
"overrideMatch": "true"
},
{
"name": "alternateid",
"type": "JSON",
"path": "$.instance[*].alternateIdentifier[*]",
"overrideMatch": "true"
},
{
"name": "title",
"type": "String",
"path": "$.title[?(@.qualifier.classid == 'main title')].value",
"length": 250,
"size": 5
},
{
"name": "authors",
"type": "List",
"path": "$.author[*].fullname",
"size": 200
},
{
"name": "resulttype",
"type": "String",
"path": "$.resulttype.classid"
},
{
"name": "instance",
"type": "List",
"path": "$.instance[*].instancetype.classname"
}
],
"blacklists": {
"title": [
"(?i)^Data Management Plan",
"^Inside Front Cover$",
"(?i)^Poster presentations$",
"^THE ASSOCIATION AND THE GENERAL MEDICAL COUNCIL$",
"^Problems with perinatal pathology\\.?$",
"(?i)^Cases? of Puerperal Convulsions$",
"(?i)^Operative Gyna?ecology$",
"(?i)^Mind the gap\\!?\\:?$",
"^Chronic fatigue syndrome\\.?$",
"^Cartas? ao editor Letters? to the Editor$",
"^Note from the Editor$",
"^Anesthesia Abstract$",
"^Annual report$",
"(?i)^“?THE RADICAL PREVENTION OF VENEREAL DISEASE\\.?”?$",
"(?i)^Graph and Table of Infectious Diseases?$",
"^Presentation$",
"(?i)^Reviews and Information on Publications$",
"(?i)^PUBLIC HEALTH SERVICES?$",
"(?i)^COMBINED TEXT-?BOOK OF OBSTETRICS AND GYN(Æ|ae)COLOGY$",
"(?i)^Adrese autora$",
"(?i)^Systematic Part .*\\. Catalogus Fossilium Austriae, Band 2: Echinoidea neogenica$",
"(?i)^Acknowledgement to Referees$",
"(?i)^Behçet's disease\\.?$",
"(?i)^Isolation and identification of restriction endonuclease.*$",
"(?i)^CEREBROVASCULAR DISEASES?.?$",
"(?i)^Screening for abdominal aortic aneurysms?\\.?$",
"^Event management$",
"(?i)^Breakfast and Crohn's disease.*\\.?$",
"^Cálculo de concentraciones en disoluciones acuosas. Ejercicio interactivo\\..*\\.$",
"(?i)^Genetic and functional analyses of SHANK2 mutations suggest a multiple hit model of Autism spectrum disorders?\\.?$",
"^Gushi hakubutsugaku$",
"^Starobosanski nadpisi u Bosni i Hercegovini \\(.*\\)$",
"^Intestinal spirocha?etosis$",
"^Treatment of Rodent Ulcer$",
"(?i)^\\W*Cloud Computing\\W*$",
"^Compendio mathematico : en que se contienen todas las materias mas principales de las Ciencias que tratan de la cantidad$",
"^Free Communications, Poster Presentations: Session [A-F]$",
"^“The Historical Aspects? of Quackery\\.?”$",
"^A designated centre for people with disabilities operated by St John of God Community Services (Limited|Ltd), Louth$",
"^P(er|re)-Mile Premiums for Auto Insurance\\.?$",
"(?i)^Case Report$",
"^Boletín Informativo$",
"(?i)^Glioblastoma Multiforme$",
"(?i)^Nuevos táxones animales descritos en la península Ibérica y Macaronesia desde 1994 \\(.*\\)$",
"^Zaměstnanecké výhody$",
"(?i)^The Economics of Terrorism and Counter-Terrorism: A Survey \\(Part .*\\)$",
"(?i)^Carotid body tumours?\\.?$",
"(?i)^\\[Españoles en Francia : La condición Emigrante.*\\]$",
"^Avant-propos$",
"(?i)^St\\. Patrick's Cathedral, Dublin, County Dublin - Head(s)? and Capital(s)?$",
"(?i)^St\\. Patrick's Cathedral, Dublin, County Dublin - Bases?$",
"(?i)^PUBLIC HEALTH VERSUS THE STATE$",
"^Viñetas de Cortázar$",
"(?i)^Search for heavy neutrinos and W(\\[|_|\\(|_\\{|-)?R(\\]|\\)|\\})? bosons with right-handed couplings in a left-right symmetric model in pp collisions at.*TeV(\\.)?$",
"(?i)^Measurement of the pseudorapidity and centrality dependence of the transverse energy density in Pb(-?)Pb collisions at.*tev(\\.?)$",
"(?i)^Search for resonances decaying into top-quark pairs using fully hadronic decays in pp collisions with ATLAS at.*TeV$",
"(?i)^Search for neutral minimal supersymmetric standard model Higgs bosons decaying to tau pairs in pp collisions at.*tev$",
"(?i)^Relatório de Estágio (de|em) Angiologia e Cirurgia Vascular$",
"^Aus der AGMB$",
"^Znanstveno-stručni prilozi$",
"(?i)^Zhodnocení finanční situace podniku a návrhy na zlepšení$",
"(?i)^Evaluation of the Financial Situation in the Firm and Proposals to its Improvement$",
"(?i)^Hodnocení finanční situace podniku a návrhy na její zlepšení$",
"^Finanční analýza podniku$",
"^Financial analysis( of business)?$",
"(?i)^Textbook of Gyn(a)?(Æ)?(e)?cology$",
"^Jikken nihon shūshinsho$",
"(?i)^CORONER('|s)(s|') INQUESTS$",
"(?i)^(Μελέτη παραγόντων )?risk management( για ανάπτυξη και εφαρμογή ενός πληροφοριακού συστήματος| και ανάπτυξη συστήματος)?$",
"(?i)^Consultants' contract(s)?$",
"(?i)^Upute autorima$",
"(?i)^Bijdrage tot de Kennis van den Godsdienst der Dajaks van Lan(d|f)ak en Tajan$",
"^Joshi shin kokubun$",
"^Kōtō shōgaku dokuhon nōson'yō$",
"^Jinjō shōgaku shōka$",
"^Shōgaku shūjichō$",
"^Nihon joshi dokuhon$",
"^Joshi shin dokuhon$",
"^Chūtō kanbun dokuhon$",
"^Wabun dokuhon$",
"(?i)^(Analysis of economy selected village or town|Rozbor hospodaření vybrané obce či města)$",
"(?i)^cardiac rehabilitation$",
"(?i)^Analytical summary$",
"^Thesaurus resolutionum Sacrae Congregationis Concilii$",
"(?i)^Sumario analítico(\\s{1})?(Analitic summary)?$",
"^Prikazi i osvrti$",
"^Rodinný dům s provozovnou$",
"^Family house with an establishment$",
"^Shinsei chūtō shin kokugun$",
"^Pulmonary alveolar proteinosis(\\.?)$",
"^Shinshū kanbun$",
"^Viñeta(s?) de Rodríguez$",
"(?i)^RUBRIKA UREDNIKA$",
"^A Matching Model of the Academic Publication Market$",
"^Yōgaku kōyō$",
"^Internetový marketing$",
"^Internet marketing$",
"^Chūtō kokugo dokuhon$",
"^Kokugo dokuhon$",
"^Antibiotic Cover for Dental Extraction(s?)$",
"^Strategie podniku$",
"^Strategy of an Enterprise$",
"(?i)^respiratory disease(s?)(\\.?)$",
"^Award(s?) for Gallantry in Civil Defence$",
"^Podniková kultura$",
"^Corporate Culture$",
"^Severe hyponatraemia in hospital inpatient(s?)(\\.?)$",
"^Pracovní motivace$",
"^Work Motivation$",
"^Kaitei kōtō jogaku dokuhon$",
"^Konsolidovaná účetní závěrka$",
"^Consolidated Financial Statements$",
"(?i)^intracranial tumour(s?)$",
"^Climate Change Mitigation Options and Directed Technical Change: A Decentralized Equilibrium Analysis$",
"^\\[CERVECERIAS MAHOU(\\.|\\:) INTERIOR\\] \\[Material gráfico\\]$",
"^Housing Market Dynamics(\\:|\\.) On the Contribution of Income Shocks and Credit Constraint(s?)$",
"^\\[Funciones auxiliares de la música en Radio París,.*\\]$",
"^Úroveň motivačního procesu jako způsobu vedení lidí$",
"^The level of motivation process as a leadership$",
"^Pay-beds in N(\\.?)H(\\.?)S(\\.?) Hospitals$",
"(?i)^news and events$",
"(?i)^NOVOSTI I DOGAĐAJI$",
"^Sansū no gakushū$",
"^Posouzení informačního systému firmy a návrh změn$",
"^Information System Assessment and Proposal for ICT Modification$",
"^Stresové zatížení pracovníků ve vybrané profesi$",
"^Stress load in a specific job$",
"^Sunday: Poster Sessions, Pt.*$",
"^Monday: Poster Sessions, Pt.*$",
"^Wednesday: Poster Sessions, Pt.*",
"^Tuesday: Poster Sessions, Pt.*$",
"^Analýza reklamy$",
"^Analysis of advertising$",
"^Shōgaku shūshinsho$",
"^Shōgaku sansū$",
"^Shintei joshi kokubun$",
"^Taishō joshi kokubun dokuhon$",
"^Joshi kokubun$",
"^Účetní uzávěrka a účetní závěrka v ČR$",
"(?i)^The \"?Causes\"? of Cancer$",
"^Normas para la publicación de artículos$",
"^Editor('|s)(s|') [Rr]eply$",
"^Editor(’|s)(s|’) letter$",
"^Redaktoriaus žodis$",
"^DISCUSSION ON THE PRECEDING PAPER$",
"^Kōtō shōgaku shūshinsho jidōyō$",
"^Shōgaku nihon rekishi$",
"^(Theory of the flow of action currents in isolated myelinated nerve fibers).*$",
"^Préface$",
"^Occupational [Hh]ealth [Ss]ervices.$",
"^In Memoriam Professor Toshiyuki TAKESHIMA$",
"^Účetní závěrka ve vybraném podniku.*$",
"^Financial statements in selected company$",
"^Abdominal [Aa]ortic [Aa]neurysms.*$",
"^Pseudomyxoma peritonei$",
"^Kazalo autora$",
"(?i)^uvodna riječ$",
"^Motivace jako způsob vedení lidí$",
"^Motivation as a leadership$",
"^Polyfunkční dům$",
"^Multi\\-funkcional building$",
"^Podnikatelský plán$",
"(?i)^Podnikatelský záměr$",
"(?i)^Business Plan$",
"^Oceňování nemovitostí$",
"^Marketingová komunikace$",
"^Marketing communication$",
"^Sumario Analítico$",
"^Riječ uredništva$",
"^Savjetovanja i priredbe$",
"^Índice$",
"^(Starobosanski nadpisi).*$",
"^Vzdělávání pracovníků v organizaci$",
"^Staff training in organization$",
"^(Life Histories of North American Geometridae).*$",
"^Strategická analýza podniku$",
"^Strategic Analysis of an Enterprise$",
"^Sadržaj$",
"^Upute suradnicima$",
"^Rodinný dům$",
"(?i)^Fami(l)?ly house$",
"^Upute autorima$",
"^Strategic Analysis$",
"^Finanční analýza vybraného podniku$",
"^Finanční analýza$",
"^Riječ urednika$",
"(?i)^Content(s?)$",
"(?i)^Inhalt$",
"^Jinjō shōgaku shūshinsho jidōyō$",
"(?i)^Index$",
"^Chūgaku kokubun kyōkasho$",
"^Retrato de una mujer$",
"^Retrato de un hombre$",
"^Kōtō shōgaku dokuhon$",
"^Shotōka kokugo$",
"^Shōgaku dokuhon$",
"^Jinjō shōgaku kokugo dokuhon$",
"^Shinsei kokugo dokuhon$",
"^Teikoku dokuhon$",
"^Instructions to Authors$",
"^KİTAP TAHLİLİ$",
"^PRZEGLĄD PIŚMIENNICTWA$",
"(?i)^Presentación$",
"^İçindekiler$",
"(?i)^Tabl?e of contents$",
"^(CODICE DEL BEATO DE LOS REYES FERNANDO I Y SANCHA).*$",
"^(\\[MADRID\\. BIBL\\. NAC\\. N.*KING FERDINAND I.*FROM SAN ISIDORO DE LEON\\. FACUNDUS SCRIPSIT DATED.*\\]).*",
"^Editorial( Board)?$",
"(?i)^Editorial \\(English\\)$",
"^Editörden$",
"^(Corpus Oral Dialectal \\(COD\\)\\.).*$",
"^(Kiri Karl Morgensternile).*$",
"^(\\[Eksliibris Aleksandr).*\\]$",
"^(\\[Eksliibris Aleksandr).*$",
"^(Eksliibris Aleksandr).*$",
"^(Kiri A\\. de Vignolles).*$",
"^(2 kirja Karl Morgensternile).*$",
"^(Pirita kloostri idaosa arheoloogilised).*$",
"^(Kiri tundmatule).*$",
"^(Kiri Jenaer Allgemeine Literaturzeitung toimetusele).*$",
"^(Eksliibris Nikolai Birukovile).*$",
"^(Eksliibris Nikolai Issakovile).*$",
"^(WHP Cruise Summary Information of section).*$",
"^(Measurement of the top quark\\-pair production cross section with ATLAS in pp collisions at).*$",
"^(Measurement of the spin\\-dependent structure function).*",
"(?i)^.*authors['’′]? reply\\.?$",
"(?i)^.*authors['’′]? response\\.?$",
"^Data [mM]anagement [sS]ervices\\.$",
"Research and Advanced Technology for Digital Libraries"
]
},
"synonyms": {}
}
}

2
dhp-workflows/dhp-distcp/pom.xml
View File

@ -3,7 +3,7 @@
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>

2
dhp-workflows/dhp-doiboost/pom.xml
View File

@ -3,7 +3,7 @@
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>

31
dhp-workflows/dhp-doiboost/src/main/java/eu/dnetlib/doiboost/crossref/ExtractCrossrefRecords.java
View File

@ -1,19 +1,13 @@
package eu.dnetlib.doiboost.crossref;
import java.io.BufferedOutputStream;
import java.net.URI;
import java.util.zip.GZIPOutputStream;
import static eu.dnetlib.dhp.common.collection.DecompressTarGz.doExtract;
import java.net.URI;
import org.apache.commons.compress.archivers.tar.TarArchiveEntry;
import org.apache.commons.compress.archivers.tar.TarArchiveInputStream;
import org.apache.commons.compress.compressors.gzip.GzipCompressorInputStream;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.mortbay.log.Log;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
@ -33,31 +27,16 @@ public class ExtractCrossrefRecords {
final String outputPath = parser.get("outputPath");
final String crossrefFileNameTarGz = parser.get("crossrefFileNameTarGz");
Path hdfsreadpath = new Path(workingPath.concat("/").concat(crossrefFileNameTarGz));
Configuration conf = new Configuration();
conf.set("fs.defaultFS", workingPath);
conf.set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());
conf.set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName());
FileSystem fs = FileSystem.get(URI.create(workingPath), conf);
FSDataInputStream crossrefFileStream = fs.open(hdfsreadpath);
try (TarArchiveInputStream tais = new TarArchiveInputStream(
new GzipCompressorInputStream(crossrefFileStream))) {
TarArchiveEntry entry = null;
while ((entry = tais.getNextTarEntry()) != null) {
if (!entry.isDirectory()) {
try (
FSDataOutputStream out = fs
.create(new Path(outputPath.concat(entry.getName()).concat(".gz")));
GZIPOutputStream gzipOs = new GZIPOutputStream(new BufferedOutputStream(out))) {
IOUtils.copy(tais, gzipOs);
doExtract(fs, outputPath, workingPath.concat("/").concat(crossrefFileNameTarGz));
}
}
}
}
Log.info("Crossref dump reading completed");
}
}

77
dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/SparkGenerateDoiBoost.scala
View File

@ -59,52 +59,6 @@ object SparkGenerateDoiBoost {
val workingDirPath = parser.get("workingPath")
val openaireOrganizationPath = parser.get("openaireOrganizationPath")
val crossrefAggregator = new Aggregator[(String, Publication), Publication, Publication] with Serializable {
override def zero: Publication = new Publication
override def reduce(b: Publication, a: (String, Publication)): Publication = {
if (b == null) {
if (a != null && a._2 != null) {
a._2.setId(a._1)
return a._2
}
} else {
if (a != null && a._2 != null) {
b.mergeFrom(a._2)
b.setId(a._1)
val authors = AuthorMerger.mergeAuthor(b.getAuthor, a._2.getAuthor)
b.setAuthor(authors)
return b
}
}
new Publication
}
override def merge(b1: Publication, b2: Publication): Publication = {
if (b1 == null) {
if (b2 != null)
return b2
} else {
if (b2 != null) {
b1.mergeFrom(b2)
val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
b1.setAuthor(authors)
if (b2.getId != null && b2.getId.nonEmpty)
b1.setId(b2.getId)
return b1
}
}
new Publication
}
override def finish(reduction: Publication): Publication = reduction
override def bufferEncoder: Encoder[Publication] = Encoders.kryo[Publication]
override def outputEncoder: Encoder[Publication] = Encoders.kryo[Publication]
}
implicit val mapEncoderPub: Encoder[Publication] = Encoders.kryo[Publication]
implicit val mapEncoderOrg: Encoder[Organization] = Encoders.kryo[Organization]
implicit val mapEncoderDataset: Encoder[OafDataset] = Encoders.kryo[OafDataset]
@ -175,8 +129,33 @@ object SparkGenerateDoiBoost {
.map(DoiBoostMappingUtil.fixPublication)
.map(p => (p.getId, p))
.groupByKey(_._1)
.agg(crossrefAggregator.toColumn)
.map(p => p._2)
.reduceGroups((left, right) => {
//Check left is not null
if (left != null && left._1 != null) {
//If right is null then return left
if (right == null || right._2 == null)
left
else {
// Here Left and Right are not null
// So we have to merge
val b1 = left._2
val b2 = right._2
b1.mergeFrom(b2)
b1.mergeOAFDataInfo(b2)
val authors = AuthorMerger.mergeAuthor(b1.getAuthor, b2.getAuthor)
b1.setAuthor(authors)
if (b2.getId != null && b2.getId.nonEmpty)
b1.setId(b2.getId)
//Return publication Merged
(b1.getId, b1)
}
} else {
// Left is Null so we return right
right
}
})
.filter(s => s != null && s._2 != null)
.map(s => s._2._2)
.write
.mode(SaveMode.Overwrite)
.save(s"$workingDirPath/doiBoostPublicationFiltered")
@ -305,4 +284,4 @@ object SparkGenerateDoiBoost {
.save(s"$workingDirPath/doiBoostOrganization")
}
}
}

58
dhp-workflows/dhp-doiboost/src/main/scala/eu/dnetlib/doiboost/crossref/Crossref2Oaf.scala
View File

@ -2,7 +2,7 @@ package eu.dnetlib.doiboost.crossref
import eu.dnetlib.dhp.schema.common.ModelConstants
import eu.dnetlib.dhp.schema.oaf._
import eu.dnetlib.dhp.schema.oaf.utils.{IdentifierFactory, OafMapperUtils}
import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils}
import eu.dnetlib.dhp.utils.DHPUtils
import eu.dnetlib.doiboost.DoiBoostMappingUtil
import eu.dnetlib.doiboost.DoiBoostMappingUtil._
@ -280,10 +280,10 @@ case object Crossref2Oaf {
instance.setDateofacceptance(asField(createdDate.getValue))
}
val s: List[String] = List("https://doi.org/" + doi)
// val links: List[String] = ((for {JString(url) <- json \ "link" \ "URL"} yield url) ::: List(s)).filter(p => p != null && p.toLowerCase().contains(doi.toLowerCase())).distinct
// if (links.nonEmpty) {
// instance.setUrl(links.asJava)
// }
// val links: List[String] = ((for {JString(url) <- json \ "link" \ "URL"} yield url) ::: List(s)).filter(p => p != null && p.toLowerCase().contains(doi.toLowerCase())).distinct
// if (links.nonEmpty) {
// instance.setUrl(links.asJava)
// }
if (s.nonEmpty) {
instance.setUrl(s.asJava)
}
@ -446,16 +446,12 @@ case object Crossref2Oaf {
case "10.13039/501100000781" =>
generateSimpleRelationFromAward(funder, "corda_______", extractECAward)
generateSimpleRelationFromAward(funder, "corda__h2020", extractECAward)
case "10.13039/100000001" =>
generateSimpleRelationFromAward(funder, "nsf_________", a => a)
case "10.13039/501100001665" =>
generateSimpleRelationFromAward(funder, "anr_________", a => a)
case "10.13039/501100002341" =>
generateSimpleRelationFromAward(funder, "aka_________", a => a)
case "10.13039/100000001" => generateSimpleRelationFromAward(funder, "nsf_________", a => a)
case "10.13039/501100001665" => generateSimpleRelationFromAward(funder, "anr_________", a => a)
case "10.13039/501100002341" => generateSimpleRelationFromAward(funder, "aka_________", a => a)
case "10.13039/501100001602" =>
generateSimpleRelationFromAward(funder, "aka_________", a => a.replace("SFI", ""))
case "10.13039/501100000923" =>
generateSimpleRelationFromAward(funder, "arc_________", a => a)
generateSimpleRelationFromAward(funder, "sfi_________", a => a.replace("SFI", ""))
case "10.13039/501100000923" => generateSimpleRelationFromAward(funder, "arc_________", a => a)
case "10.13039/501100000038" =>
val targetId = getProjectId("nserc_______", "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
@ -468,14 +464,10 @@ case object Crossref2Oaf {
val targetId = getProjectId("cihr________", "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
case "10.13039/501100002848" =>
generateSimpleRelationFromAward(funder, "conicytf____", a => a)
case "10.13039/501100003448" =>
generateSimpleRelationFromAward(funder, "gsrt________", extractECAward)
case "10.13039/501100010198" =>
generateSimpleRelationFromAward(funder, "sgov________", a => a)
case "10.13039/501100004564" =>
generateSimpleRelationFromAward(funder, "mestd_______", extractECAward)
case "10.13039/501100002848" => generateSimpleRelationFromAward(funder, "conicytf____", a => a)
case "10.13039/501100003448" => generateSimpleRelationFromAward(funder, "gsrt________", extractECAward)
case "10.13039/501100010198" => generateSimpleRelationFromAward(funder, "sgov________", a => a)
case "10.13039/501100004564" => generateSimpleRelationFromAward(funder, "mestd_______", extractECAward)
case "10.13039/501100003407" =>
generateSimpleRelationFromAward(funder, "miur________", a => a)
val targetId = getProjectId("miur________", "1e5e62235d094afd01cd56e65112fc63")
@ -487,15 +479,11 @@ case object Crossref2Oaf {
"irb_hr______",
a => a.replaceAll("Project No.", "").replaceAll("HRZZ-", "")
)
case "10.13039/501100006769" =>
generateSimpleRelationFromAward(funder, "rsf_________", a => a)
case "10.13039/501100001711" =>
generateSimpleRelationFromAward(funder, "snsf________", snsfRule)
case "10.13039/501100004410" =>
generateSimpleRelationFromAward(funder, "tubitakf____", a => a)
case "10.10.13039/100004440" =>
generateSimpleRelationFromAward(funder, "wt__________", a => a)
case "10.13039/501100006769" => generateSimpleRelationFromAward(funder, "rsf_________", a => a)
case "10.13039/501100001711" => generateSimpleRelationFromAward(funder, "snsf________", snsfRule)
case "10.13039/501100004410" => generateSimpleRelationFromAward(funder, "tubitakf____", a => a)
case "10.13039/100004440" =>
generateSimpleRelationFromAward(funder, "wt__________", a => a)
val targetId = getProjectId("wt__________", "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
@ -516,6 +504,7 @@ case object Crossref2Oaf {
case "CONICYT, Programa de Formación de Capital Humano Avanzado" =>
generateSimpleRelationFromAward(funder, "conicytf____", extractECAward)
case "Wellcome Trust Masters Fellowship" =>
generateSimpleRelationFromAward(funder, "wt__________", a => a)
val targetId = getProjectId("wt__________", "1e5e62235d094afd01cd56e65112fc63")
queue += generateRelation(sourceId, targetId, ModelConstants.IS_PRODUCED_BY)
queue += generateRelation(targetId, sourceId, ModelConstants.PRODUCES)
@ -587,14 +576,19 @@ case object Crossref2Oaf {
def extractDate(dt: String, datePart: List[List[Int]]): String = {
if (StringUtils.isNotBlank(dt))
return dt
return GraphCleaningFunctions.cleanDate(dt)
if (datePart != null && datePart.size == 1) {
val res = datePart.head
if (res.size == 3) {
val dp = f"${res.head}-${res(1)}%02d-${res(2)}%02d"
if (dp.length == 10) {
return dp
return GraphCleaningFunctions.cleanDate(dp)
}
} else if (res.size == 2) {
val dp = f"${res.head}-${res(1)}%02d-01"
return GraphCleaningFunctions.cleanDate(dp)
} else if (res.size == 1) {
return GraphCleaningFunctions.cleanDate(s"${res.head}-01-01")
}
}
null

330
dhp-workflows/dhp-doiboost/src/test/resources/eu/dnetlib/doiboost/crossref/issue_date.json Normal file
View File

@ -0,0 +1,330 @@
{
"indexed":{
"date-parts":[
[
2022,
4,
14
]
],
"date-time":"2022-04-14T11:27:30Z",
"timestamp":1649935650109
},
"reference-count":22,
"publisher":"SAGE Publications",
"issue":"2",
"license":[
{
"start":{
"date-parts":[
[
1980,
4,
1
]
],
"date-time":"1980-04-01T00:00:00Z",
"timestamp":323395200000
},
"content-version":"tdm",
"delay-in-days":0,
"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"
}
],
"content-domain":{
"domain":[
],
"crossmark-restriction":false
},
"short-container-title":[
"Perception"
],
"published-print":{
"date-parts":[
[
1980,
4
]
]
},
"abstract":"<jats:p> To answer the question \u2018What is suppressed during binocular rivalry?\u2019 a series of three experiments was performed. In the first experiment observers viewed binocular rivalry between orthogonally oriented patterns. When the dominant and suppressed patterns were interchanged between the eyes observers continued seeing with the dominant eye, indicating that an eye, not a pattern, is suppressed during rivalry. In a second experiment it was found that a suppressed eye was able to contribute to stereopsis. A third experiment demonstrated that the predominance of an eye could be influenced by prior adaptation of the other eye, indicating that binocular mechanisms participate in the rivalry process. <\/jats:p>",
"DOI":"10.1068\/p090223",
"type":"journal-article",
"created":{
"date-parts":[
[
2007,
1,
23
]
],
"date-time":"2007-01-23T15:21:36Z",
"timestamp":1169565696000
},
"page":"223-231",
"source":"Crossref",
"is-referenced-by-count":123,
"title":[
"What is Suppressed during Binocular Rivalry?"
],
"prefix":"10.1177",
"volume":"9",
"author":[
{
"given":"Randolph",
"family":"Blake",
"sequence":"first",
"affiliation":[
{
"name":"Cresap Neuroscience Laboratory, Northwestern University, Evanston, Illinois 60201, USA"
}
]
},
{
"given":"David H",
"family":"Westendorf",
"sequence":"additional",
"affiliation":[
{
"name":"Department of Psychology, University of Arkansas, Fayetteville, Arkansas 72701, USA"
}
]
},
{
"given":"Randall",
"family":"Overton",
"sequence":"additional",
"affiliation":[
{
"name":"Department of Psychology, Illinois State University, Normal, Illinois 61761, USA"
}
]
}
],
"member":"179",
"published-online":{
"date-parts":[
[
2016,
6,
25
]
]
},
"reference":[
{
"key":"bibr1-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1136\/bjo.37.1.37"
},
{
"key":"bibr2-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1037\/0096-1523.5.2.315"
},
{
"key":"bibr3-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1016\/0042-6989(74)90065-0"
},
{
"key":"bibr4-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1068\/p080143"
},
{
"key":"bibr5-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1016\/0042-6989(70)90036-2"
},
{
"key":"bibr6-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1113\/jphysiol.1969.sp008862"
},
{
"key":"bibr7-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1113\/jphysiol.1972.sp010006"
},
{
"key":"bibr8-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1146\/annurev.ps.23.020172.002213"
},
{
"key":"bibr9-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1126\/science.166.3902.245"
},
{
"key":"bibr10-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1037\/h0075805"
},
{
"key":"bibr11-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1113\/jphysiol.1968.sp008552"
},
{
"key":"bibr12-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1113\/jphysiol.1965.sp007784"
},
{
"key":"bibr13-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1037\/h0032455"
},
{
"key":"bibr14-p090223",
"volume-title":"Treatise on Physiological Optics",
"volume":"3",
"author":"von Helmholtz H",
"year":"1866",
"edition":"3"
},
{
"key":"bibr15-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1068\/p040125"
},
{
"key":"bibr16-p090223",
"volume-title":"On Binocular Rivalry",
"author":"Levelt W J M",
"year":"1965"
},
{
"key":"bibr17-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1001\/archopht.1935.00840020011001"
},
{
"key":"bibr18-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.3758\/BF03205796"
},
{
"key":"bibr19-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.3758\/BF03210180"
},
{
"key":"bibr20-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1037\/0033-2909.85.2.376"
},
{
"key":"bibr21-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.1016\/0042-6989(79)90169-X"
},
{
"key":"bibr22-p090223",
"doi-asserted-by":"publisher",
"DOI":"10.3758\/BF03210465"
}
],
"container-title":[
"Perception"
],
"original-title":[
],
"language":"en",
"link":[
{
"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1068\/p090223",
"content-type":"application\/pdf",
"content-version":"vor",
"intended-application":"text-mining"
},
{
"URL":"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1068\/p090223",
"content-type":"unspecified",
"content-version":"vor",
"intended-application":"similarity-checking"
}
],
"deposited":{
"date-parts":[
[
2021,
12,
3
]
],
"date-time":"2021-12-03T11:49:48Z",
"timestamp":1638532188000
},
"score":1,
"resource":{
"primary":{
"URL":"http:\/\/journals.sagepub.com\/doi\/10.1068\/p090223"
}
},
"subtitle":[
],
"short-title":[
],
"issued":{
"date-parts":[
[
1980,
4
]
]
},
"references-count":22,
"journal-issue":{
"issue":"2",
"published-print":{
"date-parts":[
[
1980,
4
]
]
}
},
"alternative-id":[
"10.1068\/p090223"
],
"URL":"http:\/\/dx.doi.org\/10.1068\/p090223",
"relation":{
},
"ISSN":[
"0301-0066",
"1468-4233"
],
"issn-type":[
{
"value":"0301-0066",
"type":"print"
},
{
"value":"1468-4233",
"type":"electronic"
}
],
"subject":[
"Artificial Intelligence",
"Sensory Systems",
"Experimental and Cognitive Psychology",
"Ophthalmology"
],
"published":{
"date-parts":[
[
1980,
4
]
]
}
}

2
dhp-workflows/dhp-doiboost/src/test/resources/eu/dnetlib/doiboost/crossref/publication_license_embargo.json
View File

@ -1456,7 +1456,7 @@
"issued": {
"date-parts": [
[
2021,
3021,
2,
22
]

16
dhp-workflows/dhp-doiboost/src/test/scala/eu/dnetlib/dhp/doiboost/crossref/CrossrefMappingTest.scala
View File

@ -73,6 +73,20 @@ class CrossrefMappingTest {
}
@Test
def crossrefIssueDateTest(): Unit = {
val json =
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/issue_date.json")).mkString
assertNotNull(json)
assertFalse(json.isEmpty)
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
assertTrue(resultList.nonEmpty)
val items = resultList.filter(p => p.isInstanceOf[Result])
println(mapper.writeValueAsString(items.head))
}
@Test
def testOrcidID(): Unit = {
val json = Source
@ -82,7 +96,7 @@ class CrossrefMappingTest {
.mkString
assertNotNull(json)
assertFalse(json.isEmpty);
assertFalse(json.isEmpty)
val resultList: List[Oaf] = Crossref2Oaf.convert(json)

4
dhp-workflows/dhp-enrichment/pom.xml
View File

@ -3,7 +3,7 @@
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
@ -51,7 +51,7 @@
<dependency>
<groupId>eu.dnetlib.dhp</groupId>
<artifactId>dhp-aggregation</artifactId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
<scope>compile</scope>
</dependency>

243
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/SparkEoscTag.java Normal file
View File

@ -0,0 +1,243 @@
package eu.dnetlib.dhp.bulktag;
import static eu.dnetlib.dhp.PropagationConstant.readPath;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.*;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
public class SparkEoscTag {
private static final Logger log = LoggerFactory.getLogger(SparkEoscTag.class);
public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static final Qualifier EOSC_QUALIFIER = OafMapperUtils
.qualifier(
"eosc",
"European Open Science Cloud",
ModelConstants.DNET_SUBJECT_TYPOLOGIES, ModelConstants.DNET_SUBJECT_TYPOLOGIES);
public static final DataInfo EOSC_DATAINFO = OafMapperUtils
.dataInfo(
false, "propagation", true, false,
OafMapperUtils
.qualifier(
"propagation:subject", "Inferred by OpenAIRE",
ModelConstants.DNET_PROVENANCE_ACTIONS, ModelConstants.DNET_PROVENANCE_ACTIONS),
"0.9");
public final static StructuredProperty EOSC_NOTEBOOK = OafMapperUtils
.structuredProperty(
"EOSC::Jupyter Notebook", EOSC_QUALIFIER, EOSC_DATAINFO);
public final static StructuredProperty EOSC_GALAXY = OafMapperUtils
.structuredProperty(
"EOSC::Galaxy Workflow", EOSC_QUALIFIER, EOSC_DATAINFO);
public final static StructuredProperty EOSC_TWITTER = OafMapperUtils
.structuredProperty(
"EOSC::Twitter Data", EOSC_QUALIFIER, EOSC_DATAINFO);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
SparkEoscTag.class
.getResourceAsStream(
"/eu/dnetlib/dhp/bulktag/input_eoscTag_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
final String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
final String workingPath = parser.get("workingPath");
log.info("workingPath: {}", workingPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
execEoscTag(spark, inputPath, workingPath);
});
}
private static void execEoscTag(SparkSession spark, String inputPath, String workingPath) {
readPath(spark, inputPath + "/software", Software.class)
.map((MapFunction<Software, Software>) s -> {
List<StructuredProperty> sbject;
if (!Optional.ofNullable(s.getSubject()).isPresent())
s.setSubject(new ArrayList<>());
sbject = s.getSubject();
if (containsCriteriaNotebook(s)) {
sbject.add(EOSC_NOTEBOOK);
}
if (containsCriteriaGalaxy(s)) {
sbject.add(EOSC_GALAXY);
}
return s;
}, Encoders.bean(Software.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath + "/software");
readPath(spark, workingPath + "/software", Software.class)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(inputPath + "/software");
readPath(spark, inputPath + "/otherresearchproduct", OtherResearchProduct.class)
.map((MapFunction<OtherResearchProduct, OtherResearchProduct>) orp -> {
List<StructuredProperty> sbject;
if (!Optional.ofNullable(orp.getSubject()).isPresent())
orp.setSubject(new ArrayList<>());
sbject = orp.getSubject();
if (containsCriteriaGalaxy(orp)) {
sbject.add(EOSC_GALAXY);
}
if (containscriteriaTwitter(orp)) {
sbject.add(EOSC_TWITTER);
}
return orp;
}, Encoders.bean(OtherResearchProduct.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath + "/otherresearchproduct");
readPath(spark, workingPath + "/otherresearchproduct", OtherResearchProduct.class)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(inputPath + "/otherresearchproduct");
readPath(spark, inputPath + "/dataset", Dataset.class)
.map((MapFunction<Dataset, Dataset>) d -> {
List<StructuredProperty> sbject;
if (!Optional.ofNullable(d.getSubject()).isPresent())
d.setSubject(new ArrayList<>());
sbject = d.getSubject();
if (containscriteriaTwitter(d)) {
sbject.add(EOSC_TWITTER);
}
return d;
}, Encoders.bean(Dataset.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath + "/dataset");
readPath(spark, workingPath + "/dataset", Dataset.class)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(inputPath + "/dataset");
}
private static boolean containscriteriaTwitter(Result r) {
Set<String> words = getWordsSP(r.getTitle());
words.addAll(getWordsF(r.getDescription()));
if (words.contains("twitter") &&
(words.contains("data") || words.contains("dataset")))
return true;
if (r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("twitter")) &&
r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("data")))
return true;
return false;
}
private static boolean containsCriteriaGalaxy(Result r) {
Set<String> words = getWordsSP(r.getTitle());
words.addAll(getWordsF(r.getDescription()));
if (words.contains("galaxy") &&
words.contains("workflow"))
return true;
if (r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("galaxy")) &&
r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("workflow")))
return true;
return false;
}
private static boolean containsCriteriaNotebook(Software s) {
if (s.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("jupyter")))
return true;
if (s
.getSubject()
.stream()
.anyMatch(
sbj -> sbj.getValue().toLowerCase().contains("python") &&
sbj.getValue().toLowerCase().contains("notebook")))
return true;
if (s.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("python")) &&
s.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("notebook")))
return true;
return false;
}
private static Set<String> getSubjects(List<StructuredProperty> s) {
Set<String> subjects = new HashSet<>();
s.stream().forEach(sbj -> subjects.addAll(Arrays.asList(sbj.getValue().toLowerCase().split(" "))));
s.stream().forEach(sbj -> subjects.add(sbj.getValue().toLowerCase()));
return subjects;
}
private static Set<String> getWordsSP(List<StructuredProperty> elem) {
Set<String> words = new HashSet<>();
Optional
.ofNullable(elem)
.ifPresent(
e -> e
.forEach(
t -> words
.addAll(
Arrays.asList(t.getValue().toLowerCase().replaceAll("[^a-zA-Z ]", "").split(" ")))));
return words;
}
private static Set<String> getWordsF(List<Field<String>> elem) {
Set<String> words = new HashSet<>();
Optional
.ofNullable(elem)
.ifPresent(
e -> e
.forEach(
t -> words
.addAll(
Arrays.asList(t.getValue().toLowerCase().replaceAll("[^a-zA-Z ]", "").split(" ")))));
// elem
// .forEach(
// t -> words.addAll(Arrays.asList(t.getValue().toLowerCase().replaceAll("[^a-zA-Z ]", "").split(" "))));
return words;
}
}

7
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/CountrySbs.java
View File

@ -22,4 +22,11 @@ public class CountrySbs implements Serializable {
public void setClassname(String classname) {
this.classname = classname;
}
public static CountrySbs newInstance(String classid, String classname) {
CountrySbs csbs = new CountrySbs();
csbs.classid = classid;
csbs.classname = classname;
return csbs;
}
}

7
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/DatasourceCountry.java
View File

@ -22,4 +22,11 @@ public class DatasourceCountry implements Serializable {
public void setCountry(CountrySbs country) {
this.country = country;
}
public static DatasourceCountry newInstance(String dataSourceId, CountrySbs country) {
DatasourceCountry dsc = new DatasourceCountry();
dsc.dataSourceId = dataSourceId;
dsc.country = country;
return dsc;
}
}

32
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/EntityEntityRel.java Normal file
View File

@ -0,0 +1,32 @@
package eu.dnetlib.dhp.countrypropagation;
import java.io.Serializable;
public class EntityEntityRel implements Serializable {
private String entity1Id;
private String entity2Id;
public static EntityEntityRel newInstance(String source, String target) {
EntityEntityRel dso = new EntityEntityRel();
dso.entity1Id = source;
dso.entity2Id = target;
return dso;
}
public String getEntity1Id() {
return entity1Id;
}
public void setEntity1Id(String entity1Id) {
this.entity1Id = entity1Id;
}
public String getEntity2Id() {
return entity2Id;
}
public void setEntity2Id(String entity2Id) {
this.entity2Id = entity2Id;
}
}

79
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/PrepareDatasourceCountryAssociation.java
View File

@ -2,14 +2,16 @@
package eu.dnetlib.dhp.countrypropagation;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.Arrays;
import java.util.List;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
@ -17,11 +19,15 @@ import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Datasource;
import eu.dnetlib.dhp.schema.oaf.Organization;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import eu.dnetlib.dhp.schema.oaf.Relation;
import scala.Tuple2;
/**
* For the association of the country to the datasource The association is computed only for datasource of specific type
@ -54,9 +60,8 @@ public class PrepareDatasourceCountryAssociation {
log.info("outputPath {}: ", outputPath);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
runWithSparkHiveSession(
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
@ -77,40 +82,46 @@ public class PrepareDatasourceCountryAssociation {
String inputPath,
String outputPath) {
final String whitelisted = whitelist
.stream()
.map(id -> " d.id = '" + id + "'")
.collect(Collectors.joining(" OR "));
// filtering of the datasource taking only the non deleted by inference and those with the allowed types or
// whose id is in whitelist
Dataset<Datasource> datasource = readPath(spark, inputPath + "/datasource", Datasource.class)
.filter(
(FilterFunction<Datasource>) ds -> !ds.getDataInfo().getDeletedbyinference() &&
(allowedtypes.contains(ds.getDatasourcetype().getClassid()) ||
whitelist.contains(ds.getId())));
final String allowed = allowedtypes
.stream()
.map(type -> " d.datasourcetype.classid = '" + type + "'")
.collect(Collectors.joining(" OR "));
// filtering of the relations taking the non deleted by inference and those with IsProvidedBy as relclass
Dataset<Relation> relation = readPath(spark, inputPath + "/relation", Relation.class)
.filter(
(FilterFunction<Relation>) rel -> rel.getRelClass().equalsIgnoreCase(ModelConstants.IS_PROVIDED_BY) &&
!rel.getDataInfo().getDeletedbyinference());
Dataset<Datasource> datasource = readPath(spark, inputPath + "/datasource", Datasource.class);
Dataset<Relation> relation = readPath(spark, inputPath + "/relation", Relation.class);
Dataset<Organization> organization = readPath(spark, inputPath + "/organization", Organization.class);
// filtering of the organization taking only the non deleted by inference and those with information about the
// country
Dataset<Organization> organization = readPath(spark, inputPath + "/organization", Organization.class)
.filter(
(FilterFunction<Organization>) o -> !o.getDataInfo().getDeletedbyinference() &&
o.getCountry().getClassid().length() > 0 &&
!o.getCountry().getClassid().equals(ModelConstants.UNKNOWN));
datasource.createOrReplaceTempView("datasource");
relation.createOrReplaceTempView("relation");
organization.createOrReplaceTempView("organization");
// associated the datasource id with the id of the organization providing the datasource
Dataset<EntityEntityRel> dse = datasource
.joinWith(relation, datasource.col("id").equalTo(relation.col("source")))
.map(
(MapFunction<Tuple2<Datasource, Relation>, EntityEntityRel>) t2 -> EntityEntityRel
.newInstance(t2._2.getSource(), t2._2.getTarget()),
Encoders.bean(EntityEntityRel.class));
String query = "SELECT source dataSourceId, " +
"named_struct('classid', country.classid, 'classname', country.classname) country " +
"FROM datasource d " +
"JOIN relation rel " +
"ON d.id = rel.source " +
"JOIN organization o " +
"ON o.id = rel.target " +
"WHERE rel.datainfo.deletedbyinference = false " +
"and lower(rel.relclass) = '" + ModelConstants.IS_PROVIDED_BY.toLowerCase() + "'" +
"and o.datainfo.deletedbyinference = false " +
"and length(o.country.classid) > 0 " +
"and (" + allowed + " or " + whitelisted + ")";
spark
.sql(query)
.as(Encoders.bean(DatasourceCountry.class))
// joins with the information stored in the organization dataset to associate the country to the datasource id
dse
.joinWith(organization, dse.col("entity2Id").equalTo(organization.col("id")))
.map((MapFunction<Tuple2<EntityEntityRel, Organization>, DatasourceCountry>) t2 -> {
Qualifier country = t2._2.getCountry();
return DatasourceCountry
.newInstance(
t2._1.getEntity1Id(),
CountrySbs.newInstance(country.getClassid(), country.getClassname()));
}, Encoders.bean(DatasourceCountry.class))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)

99
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/PrepareResultCountrySet.java
View File

@ -3,14 +3,21 @@ package eu.dnetlib.dhp.countrypropagation;
import static eu.dnetlib.dhp.PropagationConstant.*;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkHiveSession;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.io.compress.GzipCodec;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.FilterFunction;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.*;
import org.apache.spark.sql.Dataset;
import org.slf4j.Logger;
@ -23,14 +30,6 @@ import scala.Tuple2;
public class PrepareResultCountrySet {
private static final Logger log = LoggerFactory.getLogger(PrepareResultCountrySet.class);
private static final String RESULT_COUNTRYSET_QUERY = "SELECT id resultId, collect_set(country) countrySet "
+ "FROM ( SELECT id, country "
+ "FROM datasource_country JOIN cfhb ON cf = dataSourceId "
+ "UNION ALL "
+ "SELECT id, country FROM datasource_country "
+ "JOIN cfhb ON hb = dataSourceId ) tmp "
+ "GROUP BY id";
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
@ -45,6 +44,8 @@ public class PrepareResultCountrySet {
Boolean isSparkSessionManaged = isSparkSessionManaged(parser);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String workingPath = parser.get("workingPath");
String inputPath = parser.get("sourcePath");
log.info("inputPath: {}", inputPath);
@ -60,9 +61,8 @@ public class PrepareResultCountrySet {
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
SparkConf conf = new SparkConf();
conf.set("hive.metastore.uris", parser.get("hive_metastore_uris"));
runWithSparkHiveSession(
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
@ -72,6 +72,7 @@ public class PrepareResultCountrySet {
inputPath,
outputPath,
datasourcecountrypath,
workingPath,
resultClazz);
});
}
@ -81,43 +82,63 @@ public class PrepareResultCountrySet {
String inputPath,
String outputPath,
String datasourcecountrypath,
String workingPath,
Class<R> resultClazz) {
Dataset<R> result = readPath(spark, inputPath, resultClazz);
result.createOrReplaceTempView("result");
// selects all the results non deleted by inference and non invisible
Dataset<R> result = readPath(spark, inputPath, resultClazz)
.filter(
(FilterFunction<R>) r -> !r.getDataInfo().getDeletedbyinference() &&
!r.getDataInfo().getInvisible());
createCfHbforResult(spark);
// of the results collects the distinct keys for collected from (at the level of the result) and hosted by
// and produces pairs resultId, key for each distinct key associated to the result
result.flatMap((FlatMapFunction<R, EntityEntityRel>) r -> {
Set<String> cfhb = r.getCollectedfrom().stream().map(cf -> cf.getKey()).collect(Collectors.toSet());
cfhb.addAll(r.getInstance().stream().map(i -> i.getHostedby().getKey()).collect(Collectors.toSet()));
return cfhb
.stream()
.map(value -> EntityEntityRel.newInstance(r.getId(), value))
.collect(Collectors.toList())
.iterator();
}, Encoders.bean(EntityEntityRel.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath + "/resultCfHb");
Dataset<DatasourceCountry> datasource_country = readPath(spark, datasourcecountrypath, DatasourceCountry.class);
datasource_country.createOrReplaceTempView("datasource_country");
spark
.sql(RESULT_COUNTRYSET_QUERY)
.as(Encoders.bean(ResultCountrySet.class))
.toJavaRDD()
.mapToPair(value -> new Tuple2<>(value.getResultId(), value))
.reduceByKey((a, b) -> {
ArrayList<CountrySbs> countryList = a.getCountrySet();
Set<String> countryCodes = countryList
.stream()
.map(CountrySbs::getClassid)
.collect(Collectors.toSet());
b
.getCountrySet()
.stream()
.forEach(c -> {
if (!countryCodes.contains(c.getClassid())) {
countryList.add(c);
countryCodes.add(c.getClassid());
}
Dataset<EntityEntityRel> cfhb = readPath(spark, workingPath + "/resultCfHb", EntityEntityRel.class);
datasource_country
.joinWith(
cfhb, cfhb
.col("entity2Id")
.equalTo(datasource_country.col("datasourceId")))
.groupByKey(
(MapFunction<Tuple2<DatasourceCountry, EntityEntityRel>, String>) t2 -> t2._2().getEntity1Id(),
Encoders.STRING())
.mapGroups(
(MapGroupsFunction<String, Tuple2<DatasourceCountry, EntityEntityRel>, ResultCountrySet>) (k, it) -> {
ResultCountrySet rcs = new ResultCountrySet();
rcs.setResultId(k);
Set<CountrySbs> set = new HashSet<>();
Set<String> countryCodes = new HashSet<>();
DatasourceCountry first = it.next()._1();
countryCodes.add(first.getCountry().getClassid());
set.add(first.getCountry());
it.forEachRemaining(t2 -> {
if (!countryCodes.contains(t2._1().getCountry().getClassid()))
set.add(t2._1().getCountry());
});
a.setCountrySet(countryList);
return a;
})
.map(couple -> OBJECT_MAPPER.writeValueAsString(couple._2()))
.saveAsTextFile(outputPath, GzipCodec.class);
rcs.setCountrySet(new ArrayList<>(set));
return rcs;
}, Encoders.bean(ResultCountrySet.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
}
}

43
dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/countrypropagation/SparkCountryPropagationJob.java
View File

@ -56,12 +56,6 @@ public class SparkCountryPropagationJob {
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
final Boolean saveGraph = Optional
.ofNullable(parser.get("saveGraph"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("saveGraph: {}", saveGraph);
Class<? extends Result> resultClazz = (Class<? extends Result>) Class.forName(resultClassName);
SparkConf conf = new SparkConf();
@ -75,8 +69,7 @@ public class SparkCountryPropagationJob {
sourcePath,
preparedInfoPath,
outputPath,
resultClazz,
saveGraph);
resultClazz);
});
}
@ -85,27 +78,25 @@ public class SparkCountryPropagationJob {
String sourcePath,
String preparedInfoPath,
String outputPath,
Class<R> resultClazz,
boolean saveGraph) {
Class<R> resultClazz) {
if (saveGraph) {
log.info("Reading Graph table from: {}", sourcePath);
Dataset<R> res = readPath(spark, sourcePath, resultClazz);
log.info("Reading Graph table from: {}", sourcePath);
Dataset<R> res = readPath(spark, sourcePath, resultClazz);
log.info("Reading prepared info: {}", preparedInfoPath);
Dataset<ResultCountrySet> prepared = spark
.read()
.json(preparedInfoPath)
.as(Encoders.bean(ResultCountrySet.class));
log.info("Reading prepared info: {}", preparedInfoPath);
Dataset<ResultCountrySet> prepared = spark
.read()
.json(preparedInfoPath)
.as(Encoders.bean(ResultCountrySet.class));
res
.joinWith(prepared, res.col("id").equalTo(prepared.col("resultId")), "left_outer")
.map(getCountryMergeFn(), Encoders.bean(resultClazz))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(outputPath);
res
.joinWith(prepared, res.col("id").equalTo(prepared.col("resultId")), "left_outer")
.map(getCountryMergeFn(), Encoders.bean(resultClazz))
.write()
.option("compression", "gzip")
.mode(SaveMode.Overwrite)
.json(outputPath);
}
}
private static <R extends Result> MapFunction<Tuple2<R, ResultCountrySet>, R> getCountryMergeFn() {

21
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/bulktag/input_eoscTag_parameters.json Normal file
View File

@ -0,0 +1,21 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "wp",
"paramLongName": "workingPath",
"paramDescription": "the path used to store temporary output files",
"paramRequired": true
},
{
"paramName": "ssm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "true if the spark session is managed, false otherwise",
"paramRequired": false
}
]

26
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/bulktag/oozie_app/workflow.xml
View File

@ -204,7 +204,31 @@
<error to="Kill"/>
</action>
<join name="wait" to="End"/>
<join name="wait" to="eosc_tag"/>
<action name="eosc_tag">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn-cluster</master>
<mode>cluster</mode>
<name>EOSC_tagging</name>
<class>eu.dnetlib.dhp.bulktag.SparkEoscTag</class>
<jar>dhp-enrichment-${projectVersion}.jar</jar>
<spark-opts>
--num-executors=${sparkExecutorNumber}
--executor-memory=${sparkExecutorMemory}
--executor-cores=${sparkExecutorCores}
--driver-memory=${sparkDriverMemory}
--conf spark.extraListeners=${spark2ExtraListeners}
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${outputPath}</arg>
<arg>--workingPath</arg><arg>${workingDir}/eoscTag</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>

12
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/countrypropagation/input_countrypropagation_parameters.json
View File

@ -5,18 +5,6 @@
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName":"h",
"paramLongName":"hive_metastore_uris",
"paramDescription": "the hive metastore uris",
"paramRequired": false
},
{
"paramName":"sg",
"paramLongName":"saveGraph",
"paramDescription": "true if the new version of the graph must be saved",
"paramRequired": false
},
{
"paramName":"tn",
"paramLongName":"resultTableName",

6
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/countrypropagation/input_prepareassoc_parameters.json
View File

@ -5,12 +5,6 @@
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName":"h",
"paramLongName":"hive_metastore_uris",
"paramDescription": "the hive metastore uris",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",

6
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/countrypropagation/input_prepareresultcountry_parameters.json
View File

@ -12,9 +12,9 @@
"paramRequired": true
},
{
"paramName":"h",
"paramLongName":"hive_metastore_uris",
"paramDescription": "the hive metastore uris",
"paramName":"w",
"paramLongName":"workingPath",
"paramDescription": "the working path",
"paramRequired": true
},
{

13
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/countrypropagation/oozie_app/workflow.xml
View File

@ -110,7 +110,6 @@
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--whitelist</arg><arg>${whitelist}</arg>
<arg>--allowedtypes</arg><arg>${allowedtypes}</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_join_prepare_result_country"/>
@ -146,7 +145,7 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/publication</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--workingPath</arg><arg>${workingDir}/workingP</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
@ -176,7 +175,7 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/dataset</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--workingPath</arg><arg>${workingDir}/workingD</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
@ -206,7 +205,7 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/otherresearchproduct</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--workingPath</arg><arg>${workingDir}/workingO</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
@ -236,7 +235,7 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
<arg>--outputPath</arg><arg>${workingDir}/software</arg>
<arg>--hive_metastore_uris</arg><arg>${hive_metastore_uris}</arg>
<arg>--workingPath</arg><arg>${workingDir}/workingS</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
@ -275,7 +274,6 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/publication</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${outputPath}/publication</arg>
</spark>
@ -305,7 +303,6 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/dataset</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${outputPath}/dataset</arg>
</spark>
@ -335,7 +332,6 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/otherresearchproduct</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${outputPath}/otherresearchproduct</arg>
</spark>
@ -365,7 +361,6 @@
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/software</arg>
<arg>--saveGraph</arg><arg>${saveGraph}</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${outputPath}/software</arg>
</spark>

1
dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/resulttoorganizationfromsemrel/oozie_app/workflow.xml
View File

@ -173,6 +173,7 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.dynamicAllocation.enabled=true
--conf spark.dynamicAllocation.maxExecutors=${spark2MaxExecutors}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--relationPath</arg><arg>${workingDir}/preparedInfo/relation</arg>
<arg>--outputPath</arg><arg>${outputPath}/relation</arg>

547
dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/EOSCTagJobTest.java Normal file
View File

@ -0,0 +1,547 @@
package eu.dnetlib.dhp.bulktag;
import static eu.dnetlib.dhp.bulktag.community.TaggingConstants.ZENODO_COMMUNITY_INDICATOR;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.oaf.*;
public class EOSCTagJobTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory.getLogger(EOSCTagJobTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(EOSCTagJobTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(EOSCTagJobTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(EOSCTagJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void jupyterUpdatesTest() throws Exception {
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/jupyter/software").getPath())
.map(
(MapFunction<String, Software>) value -> OBJECT_MAPPER.readValue(value, Software.class),
Encoders.bean(Software.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/software");
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/jupyter/dataset").getPath())
.map(
(MapFunction<String, Dataset>) value -> OBJECT_MAPPER.readValue(value, Dataset.class),
Encoders.bean(Dataset.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/dataset");
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/jupyter/otherresearchproduct").getPath())
.map(
(MapFunction<String, OtherResearchProduct>) value -> OBJECT_MAPPER
.readValue(value, OtherResearchProduct.class),
Encoders.bean(OtherResearchProduct.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/otherresearchproduct");
SparkEoscTag
.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-sourcePath",
workingDir.toString() + "/input",
"-workingPath", workingDir.toString() + "/working"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Software> tmp = sc
.textFile(workingDir.toString() + "/input/software")
.map(item -> OBJECT_MAPPER.readValue(item, Software.class));
Assertions.assertEquals(10, tmp.count());
Assertions
.assertEquals(
4,
tmp
.filter(
s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook")))
.count());
Assertions
.assertEquals(
2, tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertEquals(
5, tmp
.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertFalse(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertEquals(
9, tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertEquals(
5, tmp
.filter(sw -> sw.getId().equals("50|od______1582::5aec1186054301b66c0c5dc35972a589"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertFalse(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::5aec1186054301b66c0c5dc35972a589"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions
.assertEquals(
9, tmp
.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::639909adfad9d708308f2aedb733e4a0"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
List<StructuredProperty> subjects = tmp
.filter(sw -> sw.getId().equals("50|od______1582::6e7a9b21a2feef45673890432af34244"))
.collect()
.get(0)
.getSubject();
Assertions.assertEquals(8, subjects.size());
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("EOSC::Jupyter Notebook")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("jupyter")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("Modeling and Simulation")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("structure granulaire")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("algorithme")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("simulation numérique")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("flux de gaz")));
Assertions.assertTrue(subjects.stream().anyMatch(s -> s.getValue().equals("flux de liquide")));
Assertions
.assertEquals(
10, sc
.textFile(workingDir.toString() + "/input/dataset")
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class))
.count());
Assertions
.assertEquals(
0, sc
.textFile(workingDir.toString() + "/input/dataset")
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class))
.filter(
ds -> ds.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook")))
.count());
Assertions
.assertEquals(
10, sc
.textFile(workingDir.toString() + "/input/otherresearchproduct")
.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class))
.count());
Assertions
.assertEquals(
0, sc
.textFile(workingDir.toString() + "/input/otherresearchproduct")
.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class))
.filter(
ds -> ds.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Jupyter Notebook")))
.count());
// spark.stop();
}
@Test
void galaxyUpdatesTest() throws Exception {
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/galaxy/software").getPath())
.map(
(MapFunction<String, Software>) value -> OBJECT_MAPPER.readValue(value, Software.class),
Encoders.bean(Software.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/software");
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/galaxy/dataset").getPath())
.map(
(MapFunction<String, Dataset>) value -> OBJECT_MAPPER.readValue(value, Dataset.class),
Encoders.bean(Dataset.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/dataset");
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/galaxy/otherresearchproduct").getPath())
.map(
(MapFunction<String, OtherResearchProduct>) value -> OBJECT_MAPPER
.readValue(value, OtherResearchProduct.class),
Encoders.bean(OtherResearchProduct.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/otherresearchproduct");
SparkEoscTag
.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-sourcePath",
workingDir.toString() + "/input",
"-workingPath", workingDir.toString() + "/working"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Software> tmp = sc
.textFile(workingDir.toString() + "/input/software")
.map(item -> OBJECT_MAPPER.readValue(item, Software.class));
Assertions.assertEquals(11, tmp.count());
Assertions
.assertEquals(
2,
tmp
.filter(
s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Galaxy Workflow")))
.count());
Assertions
.assertEquals(
2, tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::4132f5ec9496f0d6adc7b00a50a56ff4"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
6, tmp
.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
8, tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertFalse(
tmp
.filter(sw -> sw.getId().equals("50|od______1582::581621232a561b7e8b4952b18b8b0e56"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
JavaRDD<OtherResearchProduct> orp = sc
.textFile(workingDir.toString() + "/input/otherresearchproduct")
.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class));
Assertions.assertEquals(10, orp.count());
Assertions
.assertEquals(
2,
orp
.filter(
s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Galaxy Workflow")))
.count());
Assertions
.assertEquals(
3, orp
.filter(sw -> sw.getId().equals("50|od______2017::0750a4d0782265873d669520f5e33c07"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
orp
.filter(sw -> sw.getId().equals("50|od______2017::0750a4d0782265873d669520f5e33c07"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
2, orp
.filter(sw -> sw.getId().equals("50|od______2017::1bd97baef19dbd2db3203b112bb83bc5"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertFalse(
orp
.filter(sw -> sw.getId().equals("50|od______2017::1bd97baef19dbd2db3203b112bb83bc5"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
Assertions
.assertEquals(
3, orp
.filter(sw -> sw.getId().equals("50|od______2017::1e400f1747487fd15998735c41a55c72"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertTrue(
orp
.filter(sw -> sw.getId().equals("50|od______2017::1e400f1747487fd15998735c41a55c72"))
.collect()
.get(0)
.getSubject()
.stream()
.anyMatch(s -> s.getValue().equals("EOSC::Galaxy Workflow")));
}
@Test
void twitterUpdatesTest() throws Exception {
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/twitter/software").getPath())
.map(
(MapFunction<String, Software>) value -> OBJECT_MAPPER.readValue(value, Software.class),
Encoders.bean(Software.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/software");
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/twitter/dataset").getPath())
.map(
(MapFunction<String, Dataset>) value -> OBJECT_MAPPER.readValue(value, Dataset.class),
Encoders.bean(Dataset.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/dataset");
spark
.read()
.textFile(getClass().getResource("/eu/dnetlib/dhp/eosctag/twitter/otherresearchproduct").getPath())
.map(
(MapFunction<String, OtherResearchProduct>) value -> OBJECT_MAPPER
.readValue(value, OtherResearchProduct.class),
Encoders.bean(OtherResearchProduct.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingDir.toString() + "/input/otherresearchproduct");
SparkEoscTag
.main(
new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-sourcePath",
workingDir.toString() + "/input",
"-workingPath", workingDir.toString() + "/working"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Software> tmp = sc
.textFile(workingDir.toString() + "/input/software")
.map(item -> OBJECT_MAPPER.readValue(item, Software.class));
Assertions.assertEquals(10, tmp.count());
Assertions
.assertEquals(
0,
tmp
.filter(s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Twitter Data")))
.count());
JavaRDD<OtherResearchProduct> orp = sc
.textFile(workingDir.toString() + "/input/otherresearchproduct")
.map(item -> OBJECT_MAPPER.readValue(item, OtherResearchProduct.class));
Assertions.assertEquals(10, orp.count());
Assertions
.assertEquals(
3,
orp
.filter(s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Twitter Data")))
.count());
JavaRDD<Dataset> dats = sc
.textFile(workingDir.toString() + "/input/dataset")
.map(item -> OBJECT_MAPPER.readValue(item, Dataset.class));
Assertions.assertEquals(11, dats.count());
Assertions
.assertEquals(
3,
dats
.filter(s -> s.getSubject().stream().anyMatch(sbj -> sbj.getValue().equals("EOSC::Twitter Data")))
.count());
}
}

149
dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/countrypropagation/CountryPropagationJobTest.java
View File

@ -24,6 +24,7 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.oaf.Country;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Qualifier;
import eu.dnetlib.dhp.schema.oaf.Software;
import scala.Tuple2;
@ -69,17 +70,16 @@ public class CountryPropagationJobTest {
@Test
void testCountryPropagationSoftware() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/countrypropagation/sample/software")
.getResource("/eu/dnetlib/dhp/countrypropagation/graph/software")
.getPath();
final String preparedInfoPath = getClass()
.getResource("/eu/dnetlib/dhp/countrypropagation/preparedInfo")
.getResource("/eu/dnetlib/dhp/countrypropagation/preparedInfo/software")
.getPath();
SparkCountryPropagationJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"-saveGraph", "true",
"-resultTableName", Software.class.getCanonicalName(),
"-outputPath", workingDir.toString() + "/software",
"-preparedInfoPath", preparedInfoPath
@ -91,8 +91,6 @@ public class CountryPropagationJobTest {
.textFile(workingDir.toString() + "/software")
.map(item -> OBJECT_MAPPER.readValue(item, Software.class));
// tmp.map(s -> new Gson().toJson(s)).foreach(s -> System.out.println(s));
Assertions.assertEquals(10, tmp.count());
Dataset<Software> verificationDs = spark.createDataset(tmp.rdd(), Encoders.bean(Software.class));
@ -259,4 +257,145 @@ public class CountryPropagationJobTest {
7, countryExplodedWithCountryProvenance.filter("_2 = 'propagation'").count());
}
@Test
void testCountryPropagationPublication() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/countrypropagation/graph/publication")
.getPath();
final String preparedInfoPath = getClass()
.getResource("/eu/dnetlib/dhp/countrypropagation/preparedInfo/publication")
.getPath();
SparkCountryPropagationJob
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"-resultTableName", Publication.class.getCanonicalName(),
"-outputPath", workingDir.toString() + "/publication",
"-preparedInfoPath", preparedInfoPath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Publication> tmp = sc
.textFile(workingDir.toString() + "/publication")
.map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
Assertions.assertEquals(12, tmp.count());
Assertions.assertEquals(5, tmp.filter(r -> r.getCountry().size() > 0).count());
tmp
.foreach(
r -> r.getCountry().stream().forEach(c -> Assertions.assertEquals("dnet:countries", c.getSchemeid())));
tmp
.foreach(
r -> r
.getCountry()
.stream()
.forEach(c -> Assertions.assertEquals("dnet:countries", c.getSchemename())));
tmp
.foreach(
r -> r
.getCountry()
.stream()
.forEach(c -> Assertions.assertFalse(c.getDataInfo().getDeletedbyinference())));
tmp.foreach(r -> r.getCountry().stream().forEach(c -> Assertions.assertFalse(c.getDataInfo().getInvisible())));
tmp.foreach(r -> r.getCountry().stream().forEach(c -> Assertions.assertTrue(c.getDataInfo().getInferred())));
tmp
.foreach(
r -> r.getCountry().stream().forEach(c -> Assertions.assertEquals("0.85", c.getDataInfo().getTrust())));
tmp
.foreach(
r -> r
.getCountry()
.stream()
.forEach(c -> Assertions.assertEquals("propagation", c.getDataInfo().getInferenceprovenance())));
tmp
.foreach(
r -> r
.getCountry()
.stream()
.forEach(
c -> Assertions
.assertEquals("country:instrepos", c.getDataInfo().getProvenanceaction().getClassid())));
tmp
.foreach(
r -> r
.getCountry()
.stream()
.forEach(
c -> Assertions
.assertEquals(
"dnet:provenanceActions", c.getDataInfo().getProvenanceaction().getSchemeid())));
tmp
.foreach(
r -> r
.getCountry()
.stream()
.forEach(
c -> Assertions
.assertEquals(
"dnet:provenanceActions", c.getDataInfo().getProvenanceaction().getSchemename())));
List<Country> countries = tmp
.filter(r -> r.getId().equals("50|06cdd3ff4700::49ec404cee4e1452808aabeaffbd3072"))
.collect()
.get(0)
.getCountry();
Assertions.assertEquals(1, countries.size());
Assertions.assertEquals("NL", countries.get(0).getClassid());
Assertions.assertEquals("Netherlands", countries.get(0).getClassname());
countries = tmp
.filter(r -> r.getId().equals("50|07b5c0ccd4fe::e7f5459cc97865f2af6e3da964c1250b"))
.collect()
.get(0)
.getCountry();
Assertions.assertEquals(1, countries.size());
Assertions.assertEquals("NL", countries.get(0).getClassid());
Assertions.assertEquals("Netherlands", countries.get(0).getClassname());
countries = tmp
.filter(r -> r.getId().equals("50|355e65625b88::e7d48a470b13bda61f7ebe3513e20cb6"))
.collect()
.get(0)
.getCountry();
Assertions.assertEquals(2, countries.size());
Assertions
.assertTrue(
countries.stream().anyMatch(cs -> cs.getClassid().equals("IT") && cs.getClassname().equals("Italy")));
Assertions
.assertTrue(
countries.stream().anyMatch(cs -> cs.getClassid().equals("FR") && cs.getClassname().equals("France")));
countries = tmp
.filter(r -> r.getId().equals("50|355e65625b88::74009c567c81b4aa55c813db658734df"))
.collect()
.get(0)
.getCountry();
Assertions.assertEquals(2, countries.size());
Assertions
.assertTrue(
countries.stream().anyMatch(cs -> cs.getClassid().equals("IT") && cs.getClassname().equals("Italy")));
Assertions
.assertTrue(
countries
.stream()
.anyMatch(cs -> cs.getClassid().equals("NL") && cs.getClassname().equals("Netherlands")));
countries = tmp
.filter(r -> r.getId().equals("50|355e65625b88::54a1c76f520bb2c8da27d12e42891088"))
.collect()
.get(0)
.getCountry();
Assertions.assertEquals(2, countries.size());
Assertions
.assertTrue(
countries.stream().anyMatch(cs -> cs.getClassid().equals("IT") && cs.getClassname().equals("Italy")));
Assertions
.assertTrue(
countries.stream().anyMatch(cs -> cs.getClassid().equals("FR") && cs.getClassname().equals("France")));
}
}

176
dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/countrypropagation/DatasourceCountryPreparationTest.java Normal file
View File

@ -0,0 +1,176 @@
package eu.dnetlib.dhp.countrypropagation;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import com.fasterxml.jackson.databind.ObjectMapper;
public class DatasourceCountryPreparationTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(DatasourceCountryPreparationTest.class.getSimpleName());
SparkConf conf = new SparkConf();
conf.setAppName(DatasourceCountryPreparationTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(DatasourceCountryPreparationTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testPrepareDatasourceCountry() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/countrypropagation/graph")
.getPath();
PrepareDatasourceCountryAssociation
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--sourcePath", sourcePath,
"--outputPath", workingDir.toString() + "/datasourceCountry",
"--allowedtypes", "pubsrepository::institutional",
"--whitelist",
"10|openaire____::3795d6478e30e2c9f787d427ff160944;10|opendoar____::16e6a3326dd7d868cbc926602a61e4d0;10|eurocrisdris::fe4903425d9040f680d8610d9079ea14;10|openaire____::5b76240cc27a58c6f7ceef7d8c36660e;10|openaire____::172bbccecf8fca44ab6a6653e84cb92a;10|openaire____::149c6590f8a06b46314eed77bfca693f;10|eurocrisdris::a6026877c1a174d60f81fd71f62df1c1;10|openaire____::4692342f0992d91f9e705c26959f09e0;10|openaire____::8d529dbb05ec0284662b391789e8ae2a;10|openaire____::345c9d171ef3c5d706d08041d506428c;10|opendoar____::1c1d4df596d01da60385f0bb17a4a9e0;10|opendoar____::7a614fd06c325499f1680b9896beedeb;10|opendoar____::1ee3dfcd8a0645a25a35977997223d22;10|opendoar____::d296c101daa88a51f6ca8cfc1ac79b50;10|opendoar____::798ed7d4ee7138d49b8828958048130a;10|openaire____::c9d2209ecc4d45ba7b4ca7597acb88a2;10|eurocrisdris::c49e0fe4b9ba7b7fab717d1f0f0a674d;10|eurocrisdris::9ae43d14471c4b33661fedda6f06b539;10|eurocrisdris::432ca599953ff50cd4eeffe22faf3e48"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<DatasourceCountry> tmp = sc
.textFile(workingDir.toString() + "/datasourceCountry")
.map(item -> OBJECT_MAPPER.readValue(item, DatasourceCountry.class));
Assertions.assertEquals(3, tmp.count());
Assertions
.assertEquals(
1, tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|eurocrisdris::fe4903425d9040f680d8610d9079ea14"))
.count());
Assertions
.assertEquals(
1, tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|opendoar____::f0dd4a99fba6075a9494772b58f95280"))
.count());
Assertions
.assertEquals(
1, tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|eurocrisdris::9ae43d14471c4b33661fedda6f06b539"))
.count());
Assertions
.assertEquals(
"NL", tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|eurocrisdris::fe4903425d9040f680d8610d9079ea14"))
.collect()
.get(0)
.getCountry()
.getClassid());
Assertions
.assertEquals(
"Netherlands", tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|eurocrisdris::fe4903425d9040f680d8610d9079ea14"))
.collect()
.get(0)
.getCountry()
.getClassname());
Assertions
.assertEquals(
"IT", tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|opendoar____::f0dd4a99fba6075a9494772b58f95280"))
.collect()
.get(0)
.getCountry()
.getClassid());
Assertions
.assertEquals(
"Italy", tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|opendoar____::f0dd4a99fba6075a9494772b58f95280"))
.collect()
.get(0)
.getCountry()
.getClassname());
Assertions
.assertEquals(
"FR", tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|eurocrisdris::9ae43d14471c4b33661fedda6f06b539"))
.collect()
.get(0)
.getCountry()
.getClassid());
Assertions
.assertEquals(
"France", tmp
.filter(
dsc -> dsc
.getDataSourceId()
.equals("10|eurocrisdris::9ae43d14471c4b33661fedda6f06b539"))
.collect()
.get(0)
.getCountry()
.getClassname());
tmp.foreach(e -> System.out.println(OBJECT_MAPPER.writeValueAsString(e)));
}
}

158
dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/countrypropagation/ResultCountryPreparationTest.java Normal file
View File

@ -0,0 +1,158 @@
package eu.dnetlib.dhp.countrypropagation;
import static eu.dnetlib.dhp.PropagationConstant.isSparkSessionManaged;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import org.apache.commons.io.FileUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
import org.junit.jupiter.api.Assertions;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Test;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.schema.oaf.Publication;
public class ResultCountryPreparationTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(ResultCountryPreparationTest.class.getSimpleName());
SparkConf conf = new SparkConf();
conf.setAppName(ResultCountryPreparationTest.class.getSimpleName());
conf.setMaster("local[*]");
conf.set("spark.driver.host", "localhost");
conf.set("hive.metastore.local", "true");
conf.set("spark.ui.enabled", "false");
conf.set("spark.sql.warehouse.dir", workingDir.toString());
conf.set("hive.metastore.warehouse.dir", workingDir.resolve("warehouse").toString());
spark = SparkSession
.builder()
.appName(ResultCountryPreparationTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testPrepareResultCountry() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/countrypropagation/graph/publication")
.getPath();
final String preparedInfoPath = getClass()
.getResource("/eu/dnetlib/dhp/countrypropagation/datasourcecountry")
.getPath();
PrepareResultCountrySet
.main(
new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--workingPath", workingDir.toString() + "/working",
"--sourcePath", sourcePath,
"--outputPath", workingDir.toString() + "/resultCountry",
"--preparedInfoPath", preparedInfoPath,
"--resultTableName", Publication.class.getCanonicalName()
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<ResultCountrySet> tmp = sc
.textFile(workingDir.toString() + "/resultCountry")
.map(item -> OBJECT_MAPPER.readValue(item, ResultCountrySet.class));
Assertions.assertEquals(5, tmp.count());
ResultCountrySet rc = tmp
.filter(r -> r.getResultId().equals("50|06cdd3ff4700::49ec404cee4e1452808aabeaffbd3072"))
.collect()
.get(0);
Assertions.assertEquals(1, rc.getCountrySet().size());
Assertions.assertEquals("NL", rc.getCountrySet().get(0).getClassid());
Assertions.assertEquals("Netherlands", rc.getCountrySet().get(0).getClassname());
rc = tmp
.filter(r -> r.getResultId().equals("50|07b5c0ccd4fe::e7f5459cc97865f2af6e3da964c1250b"))
.collect()
.get(0);
Assertions.assertEquals(1, rc.getCountrySet().size());
Assertions.assertEquals("NL", rc.getCountrySet().get(0).getClassid());
Assertions.assertEquals("Netherlands", rc.getCountrySet().get(0).getClassname());
rc = tmp
.filter(r -> r.getResultId().equals("50|355e65625b88::e7d48a470b13bda61f7ebe3513e20cb6"))
.collect()
.get(0);
Assertions.assertEquals(2, rc.getCountrySet().size());
Assertions
.assertTrue(
rc
.getCountrySet()
.stream()
.anyMatch(cs -> cs.getClassid().equals("IT") && cs.getClassname().equals("Italy")));
Assertions
.assertTrue(
rc
.getCountrySet()
.stream()
.anyMatch(cs -> cs.getClassid().equals("FR") && cs.getClassname().equals("France")));
rc = tmp
.filter(r -> r.getResultId().equals("50|355e65625b88::74009c567c81b4aa55c813db658734df"))
.collect()
.get(0);
Assertions.assertEquals(2, rc.getCountrySet().size());
Assertions
.assertTrue(
rc
.getCountrySet()
.stream()
.anyMatch(cs -> cs.getClassid().equals("IT") && cs.getClassname().equals("Italy")));
Assertions
.assertTrue(
rc
.getCountrySet()
.stream()
.anyMatch(cs -> cs.getClassid().equals("NL") && cs.getClassname().equals("Netherlands")));
rc = tmp
.filter(r -> r.getResultId().equals("50|355e65625b88::54a1c76f520bb2c8da27d12e42891088"))
.collect()
.get(0);
Assertions.assertEquals(2, rc.getCountrySet().size());
Assertions
.assertTrue(
rc
.getCountrySet()
.stream()
.anyMatch(cs -> cs.getClassid().equals("IT") && cs.getClassname().equals("Italy")));
Assertions
.assertTrue(
rc
.getCountrySet()
.stream()
.anyMatch(cs -> cs.getClassid().equals("FR") && cs.getClassname().equals("France")));
}
}

3
dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/countrypropagation/datasourcecountry/datasourcecountry Normal file
View File

@ -0,0 +1,3 @@
{"dataSourceId":"10|eurocrisdris::fe4903425d9040f680d8610d9079ea14","country":{"classid":"NL","classname":"Netherlands"}}
{"dataSourceId":"10|opendoar____::f0dd4a99fba6075a9494772b58f95280","country":{"classid":"IT","classname":"Italy"}}
{"dataSourceId":"10|eurocrisdris::9ae43d14471c4b33661fedda6f06b539","country":{"classid":"FR","classname":"France"}}

11
dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/countrypropagation/graph/datasource/datasource.json Normal file
View File

@ -0,0 +1,11 @@
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{"key":"50|core________::3031a50bf5c80865af4841ab42aaf57e","valueSet":["20|nih_________::1b46e3665d8be2b524c285a27ca952b8","20|nsf_________::71450a4b98015592ee3f525a51584608","20|snsf________::fc921725875adb56f2275579b31f805c","20|aka_________::fa5b7357f86c71ea15734282054f1183","20|wt__________::18fdb5b42b22fdcc45e323eb4d20c91b","20|wt__________::71450a4b98015592ee3f525a51584608","20|dedup_wf_001::8aaf46d4e4919dc55b8a5cac7a15399f"]}
{"key":"50|core________::31116372ae189ee456fc06dfa0f6cf7a","valueSet":["20|aka_________::c5b9aa0a905f89c51221f9f4fda22b20","20|aka_________::d9d3242062a7a3c483a7926fdba17bb6","20|nih_________::ede5c9e31cfb37a397d6cfe1940d045e","20|wt__________::8adcc12ffee195ae46679e8cf332a364","20|wt__________::5e954c57b0ac7aaf3fc16deeaf442389","20|snsf________::ddd964d550bfc6e1ce18f83655ba6901","20|rcuk________::a705d2ee7bf0bd225264b4a5794795ce","20|nih_________::8adcc12ffee195ae46679e8cf332a364","20|microsoft___::53732c6c7bb9daf5953fdb61fc0cd5bd"]}

BIN
dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/resulttoorganizationfrominstrepo/updatenomix/preparedInfo/alreadyLinked/alreadyLinked_20.json.gz
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21
dhp-workflows/dhp-graph-mapper/.scalafmt.conf Normal file
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@ -0,0 +1,21 @@
style = defaultWithAlign
align.openParenCallSite = false
align.openParenDefnSite = false
align.tokens = [{code = "->"}, {code = "<-"}, {code = "=>", owner = "Case"}]
continuationIndent.callSite = 2
continuationIndent.defnSite = 2
danglingParentheses = true
indentOperator = spray
maxColumn = 120
newlines.alwaysBeforeTopLevelStatements = true
project.excludeFilters = [".*\\.sbt"]
rewrite.rules = [AvoidInfix]
rewrite.rules = [ExpandImportSelectors]
rewrite.rules = [RedundantBraces]
rewrite.rules = [RedundantParens]
rewrite.rules = [SortImports]
rewrite.rules = [SortModifiers]
rewrite.rules = [PreferCurlyFors]
spaces.inImportCurlyBraces = false
unindentTopLevelOperators = true

2
dhp-workflows/dhp-graph-mapper/pom.xml
View File

@ -3,7 +3,7 @@
<parent>
<artifactId>dhp-workflows</artifactId>
<groupId>eu.dnetlib.dhp</groupId>
<version>1.2.4-SNAPSHOT</version>
<version>1.2.5-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>

130
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/clean/CleanContextSparkJob.java Normal file
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@ -0,0 +1,130 @@
package eu.dnetlib.dhp.oa.graph.clean;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.List;
import java.util.Optional;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.HdfsSupport;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.oaf.Context;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.OafEntity;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.utils.ISLookupClientFactory;
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
public class CleanContextSparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(CleanContextSparkJob.class);
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
CleanContextSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/input_clean_context_parameters.json"));
final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
parser.parseArgument(args);
Boolean isSparkSessionManaged = Optional
.ofNullable(parser.get("isSparkSessionManaged"))
.map(Boolean::valueOf)
.orElse(Boolean.TRUE);
log.info("isSparkSessionManaged: {}", isSparkSessionManaged);
String inputPath = parser.get("inputPath");
log.info("inputPath: {}", inputPath);
String workingPath = parser.get("workingPath");
log.info("workingPath: {}", workingPath);
String contextId = parser.get("contextId");
log.info("contextId: {}", contextId);
String verifyParam = parser.get("verifyParam");
log.info("verifyParam: {}", verifyParam);
String graphTableClassName = parser.get("graphTableClassName");
log.info("graphTableClassName: {}", graphTableClassName);
Class<? extends Result> entityClazz = (Class<? extends Result>) Class.forName(graphTableClassName);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
cleanContext(spark, contextId, verifyParam, inputPath, entityClazz, workingPath);
});
}
private static <T extends Result> void cleanContext(SparkSession spark, String contextId, String verifyParam,
String inputPath, Class<T> entityClazz, String workingPath) {
Dataset<T> res = spark
.read()
.textFile(inputPath)
.map(
(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
Encoders.bean(entityClazz));
res.map((MapFunction<T, T>) r -> {
if (!r
.getTitle()
.stream()
.filter(
t -> t
.getQualifier()
.getClassid()
.equalsIgnoreCase(ModelConstants.MAIN_TITLE_QUALIFIER.getClassid()))
.anyMatch(t -> t.getValue().toLowerCase().startsWith(verifyParam.toLowerCase()))) {
return r;
}
r
.setContext(
r
.getContext()
.stream()
.filter(
c -> !c.getId().split("::")[0]
.equalsIgnoreCase(contextId))
.collect(Collectors.toList()));
return r;
}, Encoders.bean(entityClazz))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(workingPath);
spark
.read()
.textFile(workingPath)
.map(
(MapFunction<String, T>) value -> OBJECT_MAPPER.readValue(value, entityClazz),
Encoders.bean(entityClazz))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(inputPath);
}
}

27
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/DownloadCSV.java
View File

@ -23,7 +23,7 @@ public class DownloadCSV {
private static final Logger log = LoggerFactory.getLogger(DownloadCSV.class);
public static final char DEFAULT_DELIMITER = ';';
public static final char DEFAULT_DELIMITER = ',';
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
@ -40,9 +40,6 @@ public class DownloadCSV {
final String fileURL = parser.get("fileURL");
log.info("fileURL {}", fileURL);
final String workingPath = parser.get("workingPath");
log.info("workingPath {}", workingPath);
final String outputFile = parser.get("outputFile");
log.info("outputFile {}", outputFile);
@ -63,31 +60,15 @@ public class DownloadCSV {
FileSystem fileSystem = FileSystem.get(conf);
new DownloadCSV().doDownload(fileURL, workingPath, outputFile, classForName, delimiter, fileSystem);
new DownloadCSV().doDownload(fileURL, outputFile, classForName, delimiter, fileSystem);
}
protected void doDownload(String fileURL, String workingPath, String outputFile, String classForName,
protected void doDownload(String fileURL, String outputFile, String classForName,
char delimiter, FileSystem fs)
throws IOException, ClassNotFoundException, CollectorException {
final HttpConnector2 connector2 = new HttpConnector2();
final Path path = new Path(workingPath + "/replaced.csv");
try (BufferedReader in = new BufferedReader(
new InputStreamReader(connector2.getInputSourceAsStream(fileURL)))) {
try (PrintWriter writer = new PrintWriter(
new OutputStreamWriter(fs.create(path, true), StandardCharsets.UTF_8))) {
String line;
while ((line = in.readLine()) != null) {
writer.println(line.replace("\\\"", "\""));
}
}
}
try (InputStreamReader reader = new InputStreamReader(fs.open(path))) {
try (InputStreamReader reader = new InputStreamReader(new HttpConnector2().getInputSourceAsStream(fileURL))) {
GetCSV.getCsv(fs, reader, outputFile, classForName, delimiter);
}
}

84
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/DownloadCSV2.java
View File

@ -1,84 +0,0 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap;
import java.io.*;
import java.util.Objects;
import java.util.Optional;
import org.apache.commons.io.FileUtils;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.common.collection.GetCSV;
import eu.dnetlib.dhp.common.collection.HttpConnector2;
public class DownloadCSV2 {
private static final Logger log = LoggerFactory.getLogger(DownloadCSV2.class);
public static final char DEFAULT_DELIMITER = ';';
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
DownloadCSV2.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/hostedbymap/download_csv_parameters.json"))));
parser.parseArgument(args);
final String fileURL = parser.get("fileURL");
log.info("fileURL {}", fileURL);
final String tmpFile = parser.get("tmpFile");
log.info("tmpFile {}", tmpFile);
final String outputFile = parser.get("outputFile");
log.info("outputFile {}", outputFile);
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
final String classForName = parser.get("classForName");
log.info("classForName {}", classForName);
final char delimiter = Optional
.ofNullable(parser.get("delimiter"))
.map(s -> s.charAt(0))
.orElse(DEFAULT_DELIMITER);
log.info("delimiter {}", delimiter);
HttpConnector2 connector2 = new HttpConnector2();
try (BufferedReader in = new BufferedReader(
new InputStreamReader(connector2.getInputSourceAsStream(fileURL)))) {
try (PrintWriter writer = new PrintWriter(new BufferedWriter(new FileWriter(tmpFile)))) {
String line;
while ((line = in.readLine()) != null) {
writer.println(line.replace("\\\"", "\""));
}
}
}
try (BufferedReader in = new BufferedReader(new FileReader(tmpFile))) {
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fileSystem = FileSystem.get(conf);
GetCSV.getCsv(fileSystem, in, outputFile, classForName, delimiter);
} finally {
FileUtils.deleteQuietly(new File(tmpFile));
}
}
}

117
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/ExtractAndMapDoajJson.java Normal file
View File

@ -0,0 +1,117 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap;
import static eu.dnetlib.dhp.common.collection.DecompressTarGz.doExtract;
import java.io.BufferedOutputStream;
import java.io.IOException;
import java.io.PrintWriter;
import java.util.Arrays;
import java.util.Objects;
import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.*;
import org.apache.hadoop.io.compress.CompressionCodec;
import org.apache.hadoop.io.compress.CompressionCodecFactory;
import org.apache.hadoop.io.compress.CompressionInputStream;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.DOAJModel;
import eu.dnetlib.dhp.oa.graph.hostedbymap.model.doaj.DOAJEntry;
public class ExtractAndMapDoajJson {
private static final Logger log = LoggerFactory.getLogger(ExtractAndMapDoajJson.class);
public static void main(final String[] args) throws Exception {
final ArgumentApplicationParser parser = new ArgumentApplicationParser(
IOUtils
.toString(
Objects
.requireNonNull(
ExtractAndMapDoajJson.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/hostedbymap/download_json_parameters.json"))));
parser.parseArgument(args);
final String compressedInput = parser.get("compressedFile");
log.info("compressedInput {}", compressedInput);
final String hdfsNameNode = parser.get("hdfsNameNode");
log.info("hdfsNameNode {}", hdfsNameNode);
final String outputPath = parser.get("outputPath");
log.info("outputPath {}", outputPath);
final String workingPath = parser.get("workingPath");
log.info("workingPath {}", workingPath);
Configuration conf = new Configuration();
conf.set("fs.defaultFS", hdfsNameNode);
FileSystem fs = FileSystem.get(conf);
CompressionCodecFactory factory = new CompressionCodecFactory(conf);
CompressionCodec codec = factory.getCodecByClassName("org.apache.hadoop.io.compress.GzipCodec");
doExtract(fs, workingPath, compressedInput);
doMap(fs, workingPath, outputPath, codec);
}
private static void doMap(FileSystem fs, String workingPath, String outputPath, CompressionCodec codec)
throws IOException {
RemoteIterator<LocatedFileStatus> fileStatusListIterator = fs
.listFiles(
new Path(workingPath), true);
Path hdfsWritePath = new Path(outputPath);
if (fs.exists(hdfsWritePath)) {
fs.delete(hdfsWritePath, true);
}
try (
FSDataOutputStream out = fs
.create(hdfsWritePath);
PrintWriter writer = new PrintWriter(new BufferedOutputStream(out))) {
while (fileStatusListIterator.hasNext()) {
Path path = fileStatusListIterator.next().getPath();
if (!fs.isDirectory(path)) {
FSDataInputStream is = fs.open(path);
CompressionInputStream compressionInputStream = codec.createInputStream(is);
DOAJEntry[] doajEntries = new ObjectMapper().readValue(compressionInputStream, DOAJEntry[].class);
Arrays.stream(doajEntries).forEach(doaj -> {
try {
writer.println(new ObjectMapper().writeValueAsString(getDoajModel(doaj)));
} catch (JsonProcessingException e) {
e.printStackTrace();
}
});
}
}
}
}
@NotNull
public static DOAJModel getDoajModel(DOAJEntry doaj) {
DOAJModel doajModel = new DOAJModel();
doajModel.setOaStart(doaj.getBibjson().getOa_start());
doajModel.setEissn(doaj.getBibjson().getEissn());
doajModel.setIssn(doaj.getBibjson().getPissn());
doajModel.setJournalTitle(doaj.getBibjson().getTitle());
doajModel.setReviewProcess(doaj.getBibjson().getEditorial().getReview_process());
return doajModel;
}
}

17
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/DOAJModel.java
View File

@ -2,6 +2,7 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap.model;
import java.io.Serializable;
import java.util.List;
import com.opencsv.bean.CsvBindByName;
@ -17,7 +18,17 @@ public class DOAJModel implements Serializable {
private String eissn;
@CsvBindByName(column = "Review process")
private String reviewProcess;
private List<String> reviewProcess;
private Integer oaStart;
public Integer getOaStart() {
return oaStart;
}
public void setOaStart(Integer oaStart) {
this.oaStart = oaStart;
}
public String getJournalTitle() {
return journalTitle;
@ -43,11 +54,11 @@ public class DOAJModel implements Serializable {
this.eissn = eissn;
}
public String getReviewProcess() {
public List<String> getReviewProcess() {
return reviewProcess;
}
public void setReviewProcess(String reviewProcess) {
public void setReviewProcess(List<String> reviewProcess) {
this.reviewProcess = reviewProcess;
}
}

35
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/doaj/APC.java Normal file
View File

@ -0,0 +1,35 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap.model.doaj;
import java.io.Serializable;
import java.util.List;
public class APC implements Serializable {
private Boolean has_apc;
private String url;
private List<Max> max;
public List<Max> getMax() {
return max;
}
public void setMax(List<Max> max) {
this.max = max;
}
public Boolean getHas_apc() {
return has_apc;
}
public void setHas_apc(Boolean has_apc) {
this.has_apc = has_apc;
}
public String getUrl() {
return url;
}
public void setUrl(String url) {
this.url = url;
}
}

25
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/doaj/Admin.java Normal file
View File

@ -0,0 +1,25 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap.model.doaj;
import java.io.Serializable;
public class Admin implements Serializable {
private Boolean ticked;
private Boolean seal;
public Boolean getTicked() {
return ticked;
}
public void setTicked(Boolean ticked) {
this.ticked = ticked;
}
public Boolean getSeal() {
return seal;
}
public void setSeal(Boolean seal) {
this.seal = seal;
}
}

44
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/doaj/Article.java Normal file
View File

@ -0,0 +1,44 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap.model.doaj;
import java.io.Serializable;
import java.util.List;
public class Article implements Serializable {
private String license_display_example_url;
private List<String> license_display;
private Boolean orcid;
private Boolean i4oc_open_citations;
public String getLicense_display_example_url() {
return license_display_example_url;
}
public void setLicense_display_example_url(String license_display_example_url) {
this.license_display_example_url = license_display_example_url;
}
public List<String> getLicense_display() {
return license_display;
}
public void setLicense_display(List<String> license_display) {
this.license_display = license_display;
}
public Boolean getOrcid() {
return orcid;
}
public void setOrcid(Boolean orcid) {
this.orcid = orcid;
}
public Boolean getI4oc_open_citations() {
return i4oc_open_citations;
}
public void setI4oc_open_citations(Boolean i4oc_open_citations) {
this.i4oc_open_citations = i4oc_open_citations;
}
}

251
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/doaj/BibJson.java Normal file
View File

@ -0,0 +1,251 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap.model.doaj;
import java.io.Serializable;
import java.util.List;
public class BibJson implements Serializable {
private Editorial editorial;
private PidScheme pid_scheme;
private Copyright copyright;
private List<String> keywords;
private Plagiarism plagiarism;
private List<Subject> subject;
private String eissn;
private String pissn;
private List<String> language;
private String title;
private Article article;
private Institution institution;
private Preservation preservation;
private List<License> license;
private Ref ref;
private Integer oa_start;
private APC apc;
private OtherCharges other_charges;
private Integer publication_time_weeks;
private DepositPolicy deposit_policy;
private Publisher publisher;
private Boolean boai;
private Waiver waiver;
private String alternative_title;
private List<String> is_replaced_by;
private List<String> replaces;
private String discontinued_date;
public String getDiscontinued_date() {
return discontinued_date;
}
public void setDiscontinued_date(String discontinued_date) {
this.discontinued_date = discontinued_date;
}
public List<String> getReplaces() {
return replaces;
}
public void setReplaces(List<String> replaces) {
this.replaces = replaces;
}
public List<String> getIs_replaced_by() {
return is_replaced_by;
}
public void setIs_replaced_by(List<String> is_replaced_by) {
this.is_replaced_by = is_replaced_by;
}
public String getAlternative_title() {
return alternative_title;
}
public void setAlternative_title(String alternative_title) {
this.alternative_title = alternative_title;
}
public String getPissn() {
return pissn;
}
public void setPissn(String pissn) {
this.pissn = pissn;
}
public Editorial getEditorial() {
return editorial;
}
public void setEditorial(Editorial editorial) {
this.editorial = editorial;
}
public PidScheme getPid_scheme() {
return pid_scheme;
}
public void setPid_scheme(PidScheme pid_scheme) {
this.pid_scheme = pid_scheme;
}
public Copyright getCopyright() {
return copyright;
}
public void setCopyright(Copyright copyright) {
this.copyright = copyright;
}
public List<String> getKeywords() {
return keywords;
}
public void setKeywords(List<String> keywords) {
this.keywords = keywords;
}
public Plagiarism getPlagiarism() {
return plagiarism;
}
public void setPlagiarism(Plagiarism plagiarism) {
this.plagiarism = plagiarism;
}
public List<Subject> getSubject() {
return subject;
}
public void setSubject(List<Subject> subject) {
this.subject = subject;
}
public String getEissn() {
return eissn;
}
public void setEissn(String eissn) {
this.eissn = eissn;
}
public List<String> getLanguage() {
return language;
}
public void setLanguage(List<String> language) {
this.language = language;
}
public String getTitle() {
return title;
}
public void setTitle(String title) {
this.title = title;
}
public Article getArticle() {
return article;
}
public void setArticle(Article article) {
this.article = article;
}
public Institution getInstitution() {
return institution;
}
public void setInstitution(Institution institution) {
this.institution = institution;
}
public Preservation getPreservation() {
return preservation;
}
public void setPreservation(Preservation preservation) {
this.preservation = preservation;
}
public List<License> getLicense() {
return license;
}
public void setLicense(List<License> license) {
this.license = license;
}
public Ref getRef() {
return ref;
}
public void setRef(Ref ref) {
this.ref = ref;
}
public Integer getOa_start() {
return oa_start;
}
public void setOa_start(Integer oa_start) {
this.oa_start = oa_start;
}
public APC getApc() {
return apc;
}
public void setApc(APC apc) {
this.apc = apc;
}
public OtherCharges getOther_charges() {
return other_charges;
}
public void setOther_charges(OtherCharges other_charges) {
this.other_charges = other_charges;
}
public Integer getPublication_time_weeks() {
return publication_time_weeks;
}
public void setPublication_time_weeks(Integer publication_time_weeks) {
this.publication_time_weeks = publication_time_weeks;
}
public DepositPolicy getDeposit_policy() {
return deposit_policy;
}
public void setDeposit_policy(DepositPolicy deposit_policy) {
this.deposit_policy = deposit_policy;
}
public Publisher getPublisher() {
return publisher;
}
public void setPublisher(Publisher publisher) {
this.publisher = publisher;
}
public Boolean getBoai() {
return boai;
}
public void setBoai(Boolean boai) {
this.boai = boai;
}
public Waiver getWaiver() {
return waiver;
}
public void setWaiver(Waiver waiver) {
this.waiver = waiver;
}
}

25
dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostedbymap/model/doaj/Copyright.java Normal file
View File

@ -0,0 +1,25 @@
package eu.dnetlib.dhp.oa.graph.hostedbymap.model.doaj;
import java.io.Serializable;
public class Copyright implements Serializable {
private Boolean author_retains;
private String url;
public Boolean getAuthor_retains() {
return author_retains;
}
public void setAuthor_retains(Boolean author_retains) {
this.author_retains = author_retains;
}
public String getUrl() {
return url;
}
public void setUrl(String url) {
this.url = url;
}
}

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