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104 Commits
master ... dump

Author SHA1 Message Date
Miriam Baglioni e9384526c6 merge branch with master 2022-06-21 14:27:47 +02:00
Miriam Baglioni d62ca8392b [DUMP] change in the community subworkflow workflow to remove the no more needed subworkflow in common with funders dump 2022-06-21 14:26:24 +02:00
Miriam Baglioni 8d372f1be7 refactoring 2022-06-21 14:23:40 +02:00
Miriam Baglioni fdde309f59 refactoring 2022-06-21 14:13:35 +02:00
Miriam Baglioni 2d54a68cde merge branch with master 2022-06-09 18:25:56 +02:00
Miriam Baglioni 2a77ebb431 resolving conflicts 2022-06-06 11:54:33 +02:00
Miriam Baglioni 108e17644e mergin with branch beta 2022-05-24 18:37:32 +02:00
Claudio Atzori 5c2949a864 Merge pull request '[stats wf] added open citations & more orgs in monitor, removed collab indicator' (#213) from antonis.lempesis/dnet-hadoop:beta into beta
Reviewed-on: #213
2022-05-20 11:38:43 +02:00
Miriam Baglioni 5e0b8f9b5f [CountryPropagation] refactoring 2022-05-20 09:15:53 +02:00
Miriam Baglioni c298c148cb [CountryPropagation] fix NPE issue 2022-05-20 09:11:46 +02:00
Miriam Baglioni eaf9385ae5 Merge branch 'beta' of https://code-repo.d4science.org/D-Net/dnet-hadoop into beta 2022-05-17 15:09:37 +02:00
Miriam Baglioni f5207885e3 [EOSCTag] changed code to remove EOSC Jupyter Notebook and modified test to exclude galaxy + software from the tagging for Galaxy 2022-05-17 15:09:22 +02:00
Claudio Atzori d098ad0d93 [hb patch] updated map 2022-05-16 15:54:04 +02:00
Claudio Atzori 6442763f97 Merge branch 'beta' of https://code-repo.d4science.org/D-Net/dnet-hadoop into beta 2022-05-16 12:07:45 +02:00
Claudio Atzori 997c50078e [graph grouping] drop relation target path before copying from source 2022-05-16 12:07:40 +02:00
Sandro La Bruzzo c1971d52c4 Merge branch 'beta' of code-repo.d4science.org:D-Net/dnet-hadoop into beta 2022-05-16 10:30:35 +02:00
Sandro La Bruzzo 4c50f35c8b update publication Date format 2022-05-16 10:29:36 +02:00
Claudio Atzori 0dc33ea391 [openorgs] fixed parent/child query, using the correct semantic labels 2022-05-16 09:20:30 +02:00
Antonis Lempesis 8160763330 fixed conflict 2022-05-13 14:29:31 +03:00
Antonis Lempesis 3fc9efeab6 fixed typo, addded open citations and apcs in monitor 2022-05-13 14:28:13 +03:00
Miriam Baglioni e4eac1d20b [EOSC TAG] added code to remove EOSC Jupyter Notebook from subjects and put EOSC as classid in the qualifier 2022-05-13 11:01:33 +02:00
Antonis Lempesis c25134f28d fixed typo 2022-05-12 14:55:47 +03:00
Miriam Baglioni ba642d53ff mergin with branch beta 2022-05-12 12:48:00 +02:00
Sandro La Bruzzo 22f65680b9 Merge branch 'beta' of code-repo.d4science.org:D-Net/dnet-hadoop into beta 2022-05-11 15:30:12 +02:00
Sandro La Bruzzo ca8d26bcb4 added better filter for openCitations 2022-05-11 15:29:57 +02:00
Claudio Atzori 5d3b4a9c25 [graph merge beta] merge datasource originalid, collectedfrom, and pid lists 2022-05-11 14:13:06 +02:00
Antonis Lempesis 23334479bb removed yet another collab, added more orgs in monitor 2022-05-11 13:05:52 +03:00
Claudio Atzori 77bc9863e9 [openorgs] mapping parent/child relations without massaging the semantic labels 2022-05-09 16:06:04 +02:00
Claudio Atzori 378020e30a [eosc_services] unit test adaptation 2022-05-09 16:05:06 +02:00
Miriam Baglioni 89657a0b78 [UsageCount] refactoring 2022-05-09 14:43:27 +02:00
Miriam Baglioni a056f59c6e [UsageCount] make it as an action set as it should be, plus changed the test to make them work as well now 2022-05-09 12:51:35 +02:00
Antonis Lempesis 61b4c19e65 restored indi_result_org_country_collab, removed indi_result_org_collab 2022-05-06 12:52:10 +03:00
Antonis Lempesis cfbbcaf7c4 commented out indi_result_org_country_collab 2022-05-06 12:49:36 +03:00
Claudio Atzori 658450d9a3 Merge branch 'beta' of https://code-repo.d4science.org/D-Net/dnet-hadoop into beta 2022-05-05 11:38:08 +02:00
Claudio Atzori 846975c886 [eosc_services] using the correct 'keyword' subject type, as declared in the dnet:subject_classification_typologies vocabulary 2022-05-05 11:37:58 +02:00
Miriam Baglioni 5fe25cc51c Merge pull request '[eosc tag] set the eosc subjects, rough implementation' (#215) from eosc_tag into beta
Reviewed-on: #215
2022-05-04 10:11:14 +02:00
Miriam Baglioni 8a72de4011 [EOSCTag] modified workflow to execute all the steps and not only the last one 2022-05-04 10:10:56 +02:00
Miriam Baglioni bd1108f98b mergin with branch beta 2022-05-04 10:06:56 +02:00
Miriam Baglioni 3aeedd931a [EOSCTag] fixed issue in case description is null. Modified test resources and classes 2022-05-04 10:06:38 +02:00
Claudio Atzori da611cfbbd [eosc_services] resolved merge conflicts 2022-05-03 13:37:15 +02:00
Claudio Atzori 9e12cb3c92 EOSC Services - removed field knowledgegraph; depending on the released schema module 2022-05-03 11:55:45 +02:00
Miriam Baglioni a21fe310e5 [EOSCTag] last test and change in the implementation to search in title and descriptio 2022-05-02 17:43:20 +02:00
Claudio Atzori 2ade69dea6 EOSC Services - minor 2022-05-02 17:03:31 +02:00
Claudio Atzori b6a7ff3a99 EOSC Services - removed fields from mapping, testing preparation 2022-05-02 15:52:33 +02:00
Miriam Baglioni e37177e1ce mergin with branch beta 2022-05-02 12:31:50 +02:00
Claudio Atzori a8c51f6f16 EOSC Services - fixed query and testing preparation 2022-05-02 11:09:03 +02:00
Claudio Atzori 05c1ea92e9 EOSC Services - added Service-specific fields in the XML record serialization 2022-04-29 15:56:55 +02:00
Claudio Atzori f5f532d134 EOSC Services - ongoing update 2022-04-29 12:25:24 +02:00
Claudio Atzori 5ffc24d1ba EOSC Services - ongoing update 2022-04-26 16:18:41 +02:00
Sandro La Bruzzo 78015a5733 Merge branch 'beta' of code-repo.d4science.org:D-Net/dnet-hadoop into beta 2022-04-26 09:56:34 +02:00
Sandro La Bruzzo 8c22e5c30a added fix to include date array with only year or year and month 2022-04-26 09:56:27 +02:00
Miriam Baglioni e342ec93f0 [EOSCTag] prepared resources for test 2022-04-22 18:35:37 +02:00
Miriam Baglioni 88562c0930 [EOSC TAG] added test for galaxy for title and description criterias 2022-04-22 18:35:03 +02:00
Miriam Baglioni dfbd2bcbea [EOSC TAG] added logic in case subject is null 2022-04-22 18:34:03 +02:00
Miriam Baglioni 27c85e901a [EOSCTag] added resources and finalized test for Jupyter Notebook tagging 2022-04-22 17:38:10 +02:00
Miriam Baglioni 87bff36d9e mergin with branch beta 2022-04-22 15:52:34 +02:00
Claudio Atzori 81242538e6 Merge pull request 'Oozie workflow for cleancontext' (#216) from cleancontext into beta
Reviewed-on: #216

Looks good. We need to extend the cleaning workflow parameters to enable the extra step only when it is needed.
2022-04-22 15:46:40 +02:00
Miriam Baglioni 911ce0780a Merge branch 'cleancontext' of https://code-repo.d4science.org/D-Net/dnet-hadoop into cleancontext 2022-04-22 15:41:42 +02:00
Miriam Baglioni 19d90658fc [Clean Context] added description to parameters 2022-04-22 15:41:23 +02:00
Claudio Atzori 54162f5c4f Merge branch 'beta' into cleancontext 2022-04-22 11:49:33 +02:00
Miriam Baglioni bbb77052d3 [EOSCTag] first test 2022-04-22 11:32:57 +02:00
Sandro La Bruzzo a82ec3aaaf code formatter 2022-04-22 11:08:13 +02:00
Sandro La Bruzzo aa12429f50 Modified last intersection since we lost many titles. 2022-04-22 11:05:08 +02:00
Miriam Baglioni 7cb7066472 [EoscTag] first "rough" implementation 2022-04-22 10:44:17 +02:00
Miriam Baglioni e0915061c2 [Clean Context] fixed issue in param name 2022-04-21 16:32:40 +02:00
Miriam Baglioni 6dc68c48e0 [EOSCTag] - 2022-04-21 16:19:04 +02:00
Miriam Baglioni 9a961a0092 [Clean Context] fixed issue in param name 2022-04-21 15:12:24 +02:00
Claudio Atzori 29150a5d0c code formatting 2022-04-21 13:31:56 +02:00
Miriam Baglioni 5b7d9e741c [Clean Context] added logic to cleaning workflow to accomodate also context cleaning 2022-04-21 13:02:14 +02:00
Miriam Baglioni ccba1a3db1 [Clean Context] added logic to cleaning workflow to accomodate also context cleaning 2022-04-21 13:00:06 +02:00
Claudio Atzori a289c9eae2 Merge pull request '[Measures] added new measure (UsageCounts)' (#214) from eosc_dimitris into beta
Reviewed-on: #214
2022-04-21 12:19:18 +02:00
Miriam Baglioni 20de75ca64 [Measures] removed typo 2022-04-21 12:14:03 +02:00
Miriam Baglioni bebb2a0560 Merge branch 'eosc_dimitris' of https://code-repo.d4science.org/D-Net/dnet-hadoop into eosc_dimitris 2022-04-21 12:10:19 +02:00
Miriam Baglioni b61efd613b [Measures] addressed comments in the PR 2022-04-21 12:09:37 +02:00
Miriam Baglioni d012d125d7 [EOSCTag] - 2022-04-21 12:02:09 +02:00
Claudio Atzori 88acad76f9 Merge branch 'beta' into eosc_dimitris 2022-04-21 12:00:03 +02:00
Miriam Baglioni c304657d91 [Measures] put the logic in common, no need to change the schema 2022-04-21 11:27:26 +02:00
Miriam Baglioni b33156c2ee [Dump] remove non needed class 2022-04-21 11:12:35 +02:00
Miriam Baglioni 5295effc96 [Measures] fixed issue 2022-04-20 16:20:40 +02:00
Miriam Baglioni 61c0266a44 Merge pull request 'Remove Context from result' (#208) from cleancontext into beta
Reviewed-on: #208
2022-04-20 15:45:32 +02:00
Miriam Baglioni a38f0f5ea7 mergin with branch beta 2022-04-20 15:44:18 +02:00
Miriam Baglioni dbfbe8841a [Clean Context] changed the description in input parameters 2022-04-20 15:41:03 +02:00
Miriam Baglioni 5feae77937 [Measures] last changes to accomodate tests 2022-04-20 15:13:09 +02:00
Miriam Baglioni 869407c6e2 [Measures] added new measure (usagecounts) as action set. Measure added at the level of the result. Ref #7587 2022-04-20 14:02:05 +02:00
Antonis Lempesis b7cd2c6ca1 added open citations 2022-04-20 14:46:55 +03:00
Michele Artini c96a8613f8 update SQL queries 2022-04-20 12:07:49 +02:00
Michele Artini 4314db55c8 migration to services: update sql queries 2022-04-19 15:05:02 +02:00
Miriam Baglioni 38b8d324af merge branch with master 2022-04-13 17:46:48 +02:00
Claudio Atzori 73c172926a [Doiboost] fixed fundingReference extraction from the Crossref records 2022-04-12 10:25:42 +02:00
Claudio Atzori 48b580b45c [graph enrichment] fixed country_propagation oozie workflow definition, parameter saveGraph is not needed anymore by the SparkCountryPropagationJob 2022-04-11 08:52:36 +02:00
Claudio Atzori 4eff7856f5 Merge pull request '[stats-wf] computing stats in each step' (#210) from antonis.lempesis/dnet-hadoop:beta into beta
Reviewed-on: #210
2022-04-08 14:21:01 +02:00
Miriam Baglioni 1a0615125f [Graph DUMP] fixed issue in workflow 2022-04-07 15:28:59 +02:00
Claudio Atzori 91e32f12ed Merge branch 'master' into beta 2022-04-07 13:37:58 +02:00
Miriam Baglioni 1e251d34a1 [Graph DUMP] add code to produce the delta of new projects with respect to the previous delta/dump 2022-04-06 17:22:08 +02:00
Claudio Atzori 4190c9f6bc [graph raw] avoid NPEs importing datasource consent fields 2022-04-06 15:34:31 +02:00
Antonis Lempesis c442c91f89 computing stats in each step 2022-04-06 12:40:02 +03:00
Miriam Baglioni b0f0ae180c merge branch with master 2022-04-06 10:55:08 +02:00
Miriam Baglioni c0dab69349 [Graph DUMP] removed not used sub workflow 2022-04-05 15:04:52 +02:00
Miriam Baglioni 79336d46c5 [Clean Context] first naive implementation of a functionality to clean not wanted contextes from one result. This implementation simply verifies the main title of the results start with a given string 2022-04-04 15:52:31 +02:00
Miriam Baglioni f738acb85a [Dump Funders] new code for the dump of products related to funders 2022-03-31 18:23:25 +02:00
Miriam Baglioni 5331dea71b [Dump Funders] new code for the dump od products related to funders 2022-03-24 10:56:30 +01:00
Miriam Baglioni 9ba598a9b5 [Dump Funders] - 2022-03-23 17:10:19 +01:00
Miriam Baglioni 13d1d73b2e [Dump Funders] - 2022-03-23 16:08:14 +01:00
Miriam Baglioni faf79db4d5 [Dump Funders] - 2022-03-23 10:10:38 +01:00
97 changed files with 4822 additions and 1136 deletions

View File

@ -255,7 +255,8 @@ public class ZenodoAPIClient implements Serializable {
private void setDepositionId(String concept_rec_id, Integer page) throws IOException, MissingConceptDoiException {
ZenodoModelList zenodoModelList = new Gson().fromJson(getPrevDepositions(String.valueOf(page)), ZenodoModelList.class);
ZenodoModelList zenodoModelList = new Gson()
.fromJson(getPrevDepositions(String.valueOf(page)), ZenodoModelList.class);
for (ZenodoModel zm : zenodoModelList) {
if (zm.getConceptrecid().equals(concept_rec_id)) {
@ -263,8 +264,9 @@ public class ZenodoAPIClient implements Serializable {
return;
}
}
if(zenodoModelList.size() == 0)
throw new MissingConceptDoiException("The concept record id specified was missing in the list of depositions");
if (zenodoModelList.size() == 0)
throw new MissingConceptDoiException(
"The concept record id specified was missing in the list of depositions");
setDepositionId(concept_rec_id, page + 1);
}
@ -278,11 +280,11 @@ public class ZenodoAPIClient implements Serializable {
String url = urlBuilder.build().toString();
Request request = new Request.Builder()
.url(url)
.addHeader(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.toString()) // add request headers
.addHeader(HttpHeaders.AUTHORIZATION, "Bearer " + access_token)
.get()
.build();
.url(url)
.addHeader(HttpHeaders.CONTENT_TYPE, ContentType.APPLICATION_JSON.toString()) // add request headers
.addHeader(HttpHeaders.AUTHORIZATION, "Bearer " + access_token)
.get()
.build();
try (Response response = httpClient.newCall(request).execute()) {
@ -295,7 +297,6 @@ public class ZenodoAPIClient implements Serializable {
}
private String getBucket(String url) throws IOException {
OkHttpClient httpClient = new OkHttpClient.Builder()
.connectTimeout(600, TimeUnit.SECONDS)

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;
}
}

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"));
}

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";

View File

@ -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));
}
}

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;
}
}

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
}
]

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>

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());
}
}

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}

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)
}
@ -576,14 +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

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
]
]
}
}

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)

View File

@ -103,7 +103,7 @@ public class SparkBulkTagJob {
ResultTagger resultTagger = new ResultTagger();
readPath(spark, inputPath, resultClazz)
.map(patchResult(), Encoders.bean(resultClazz))
.filter(Objects::nonNull)
.filter(Objects::nonNull)
.map(
(MapFunction<R, R>) value -> resultTagger
.enrichContextCriteria(

View File

@ -0,0 +1,251 @@
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 (sbject.stream().anyMatch(sb -> sb.getValue().equals("EOSC Jupyter Notebook"))) {
sbject = sbject.stream().map(sb -> {
if (sb.getValue().equals("EOSC Jupyter Notebook")) {
return null;
}
return sb;
}).filter(Objects::nonNull).collect(Collectors.toList());
s.setSubject(sbject);
}
}
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;
}
}

View File

@ -102,21 +102,28 @@ public class SparkCountryPropagationJob {
private static <R extends Result> MapFunction<Tuple2<R, ResultCountrySet>, R> getCountryMergeFn() {
return t -> {
Optional.ofNullable(t._2()).ifPresent(r -> {
t._1().getCountry().addAll(merge(t._1().getCountry(), r.getCountrySet()));
if (Optional.ofNullable(t._1().getCountry()).isPresent())
t._1().getCountry().addAll(merge(t._1().getCountry(), r.getCountrySet()));
else
t._1().setCountry(merge(null, t._2().getCountrySet()));
});
return t._1();
};
}
private static List<Country> merge(List<Country> c1, List<CountrySbs> c2) {
HashSet<String> countries = c1
.stream()
.map(Qualifier::getClassid)
.collect(Collectors.toCollection(HashSet::new));
HashSet<String> countries = new HashSet<>();
if (Optional.ofNullable(c1).isPresent()) {
countries = c1
.stream()
.map(Qualifier::getClassid)
.collect(Collectors.toCollection(HashSet::new));
}
HashSet<String> finalCountries = countries;
return c2
.stream()
.filter(c -> !countries.contains(c.getClassid()))
.filter(c -> !finalCountries.contains(c.getClassid()))
.map(c -> getCountry(c.getClassid(), c.getClassname()))
.collect(Collectors.toList());
}

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
}
]

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"/>

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@ -0,0 +1,538 @@
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(
1, 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(
1,
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(
5, tmp
.filter(sw -> sw.getId().equals("50|od______1582::501b25d420f808c8eddcd9b16e917f11"))
.collect()
.get(0)
.getSubject()
.size());
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(
1,
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(
2, orp
.filter(sw -> sw.getId().equals("50|od______2017::1e400f1747487fd15998735c41a55c72"))
.collect()
.get(0)
.getSubject()
.size());
Assertions
.assertFalse(
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());
}
}

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@ -123,7 +123,6 @@
<artifactId>json4s-jackson_2.11</artifactId>
</dependency>
</dependencies>

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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);
}
}

View File

@ -10,6 +10,7 @@ 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.MapFunction;
import org.apache.spark.api.java.function.MapGroupsFunction;
import org.apache.spark.sql.Dataset;
@ -81,8 +82,9 @@ public class SparkPrepareResultProject implements Serializable {
Dataset<Relation> relation = Utils
.readPath(spark, inputPath + "/relation", Relation.class)
.filter(
"dataInfo.deletedbyinference = false and lower(relClass) = '"
+ ModelConstants.IS_PRODUCED_BY.toLowerCase() + "'");
(FilterFunction<Relation>) r -> !r.getDataInfo().getDeletedbyinference() &&
r.getRelClass().equalsIgnoreCase(ModelConstants.IS_PRODUCED_BY));
Dataset<eu.dnetlib.dhp.schema.oaf.Project> projects = Utils
.readPath(spark, inputPath + "/project", eu.dnetlib.dhp.schema.oaf.Project.class);

View File

@ -7,17 +7,22 @@ import java.io.Serializable;
import java.util.List;
import java.util.Objects;
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.FlatMapFunction;
import org.apache.spark.api.java.function.ForeachFunction;
import org.apache.spark.api.java.function.MapFunction;
import org.apache.spark.sql.*;
import org.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
import eu.dnetlib.dhp.schema.dump.oaf.community.Funder;
import eu.dnetlib.dhp.schema.dump.oaf.community.Project;
/**
@ -49,9 +54,6 @@ public class SparkDumpFunderResults implements Serializable {
final String outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String graphPath = parser.get("graphPath");
log.info("relationPath: {}", graphPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
@ -59,61 +61,74 @@ public class SparkDumpFunderResults implements Serializable {
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
writeResultProjectList(spark, inputPath, outputPath, graphPath);
writeResultProjectList(spark, inputPath, outputPath);
});
}
private static void writeResultProjectList(SparkSession spark, String inputPath, String outputPath,
String graphPath) {
Dataset<eu.dnetlib.dhp.schema.oaf.Project> project = Utils
.readPath(spark, graphPath + "/project", eu.dnetlib.dhp.schema.oaf.Project.class);
private static void writeResultProjectList(SparkSession spark, String inputPath, String outputPath) {
Dataset<CommunityResult> result = Utils
.readPath(spark, inputPath + "/publication", CommunityResult.class)
.union(Utils.readPath(spark, inputPath + "/dataset", CommunityResult.class))
.union(Utils.readPath(spark, inputPath + "/orp", CommunityResult.class))
.union(Utils.readPath(spark, inputPath + "/otherresearchproduct", CommunityResult.class))
.union(Utils.readPath(spark, inputPath + "/software", CommunityResult.class));
List<String> funderList = project
.select("id")
.map((MapFunction<Row, String>) value -> value.getString(0).substring(0, 15), Encoders.STRING())
.distinct()
.collectAsList();
log.info("Number of result {}", result.count());
Dataset<String> tmp = result
.flatMap((FlatMapFunction<CommunityResult, String>) cr -> cr.getProjects().stream().map(p -> {
return getFunderName(p);
}).collect(Collectors.toList()).iterator(), Encoders.STRING())
.distinct();
List<String> funderList = tmp.collectAsList();
funderList.forEach(funder -> {
String fundernsp = funder.substring(3);
String funderdump;
if (fundernsp.startsWith("corda")) {
funderdump = "EC_";
if (fundernsp.endsWith("h2020")) {
funderdump += "H2020";
} else {
funderdump += "FP7";
}
} else {
funderdump = fundernsp.substring(0, fundernsp.indexOf("_")).toUpperCase();
}
writeFunderResult(funder, result, outputPath, funderdump);
dumpResults(funder, result, outputPath);
});
}
private static void dumpResults(String nsp, Dataset<CommunityResult> results, String outputPath,
String funderName) {
@NotNull
private static String getFunderName(Project p) {
Optional<Funder> ofunder = Optional.ofNullable(p.getFunder());
if (ofunder.isPresent()) {
String fName = ofunder.get().getShortName();
if (fName.equalsIgnoreCase("ec")) {
fName += "_" + ofunder.get().getFundingStream();
}
return fName;
} else {
String fName = p.getId().substring(3, p.getId().indexOf("_")).toUpperCase();
if (fName.equalsIgnoreCase("ec")) {
if (p.getId().contains("h2020")) {
fName += "_H2020";
} else {
fName += "_FP7";
}
} else if (fName.equalsIgnoreCase("conicytf")) {
fName = "CONICYT";
} else if (fName.equalsIgnoreCase("dfgf")) {
fName = "DFG";
} else if (fName.equalsIgnoreCase("tubitakf")) {
fName = "TUBITAK";
} else if (fName.equalsIgnoreCase("euenvagency")) {
fName = "EEA";
}
return fName;
}
}
private static void dumpResults(String funder, Dataset<CommunityResult> results, String outputPath) {
results.map((MapFunction<CommunityResult, CommunityResult>) r -> {
if (!Optional.ofNullable(r.getProjects()).isPresent()) {
return null;
}
for (Project p : r.getProjects()) {
if (p.getId().startsWith(nsp)) {
if (nsp.startsWith("40|irb")) {
if (p.getFunder().getShortName().equals(funderName))
return r;
else
return null;
}
String fName = getFunderName(p);
if (fName.equalsIgnoreCase(funder)) {
return r;
}
}
@ -123,18 +138,7 @@ public class SparkDumpFunderResults implements Serializable {
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath + "/" + funderName);
}
private static void writeFunderResult(String funder, Dataset<CommunityResult> results, String outputPath,
String funderDump) {
if (funder.startsWith("40|irb")) {
dumpResults(funder, results, outputPath, "HRZZ");
dumpResults(funder, results, outputPath, "MZOS");
} else
dumpResults(funder, results, outputPath, funderDump);
.json(outputPath + "/" + funder);
}
}

View File

@ -5,9 +5,12 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
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.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.Dataset;
@ -18,11 +21,18 @@ import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Constants;
import eu.dnetlib.dhp.oa.graph.dump.DumpProducts;
import eu.dnetlib.dhp.oa.graph.dump.ResultMapper;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
import eu.dnetlib.dhp.oa.graph.dump.community.ResultProject;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.Result;
import scala.Tuple2;
/**
* Selects the results linked to projects. Only for these results the dump will be performed.
@ -58,8 +68,10 @@ public class SparkResultLinkedToProject implements Serializable {
final String resultClassName = parser.get("resultTableName");
log.info("resultTableName: {}", resultClassName);
final String graphPath = parser.get("graphPath");
log.info("graphPath: {}", graphPath);
final String resultProjectsPath = parser.get("graphPath");
log.info("graphPath: {}", resultProjectsPath);
String communityMapPath = parser.get("communityMapPath");
@SuppressWarnings("unchecked")
Class<? extends Result> inputClazz = (Class<? extends Result>) Class.forName(resultClassName);
@ -70,43 +82,33 @@ public class SparkResultLinkedToProject implements Serializable {
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
writeResultsLinkedToProjects(spark, inputClazz, inputPath, outputPath, graphPath);
writeResultsLinkedToProjects(
communityMapPath, spark, inputClazz, inputPath, outputPath, resultProjectsPath);
});
}
private static <R extends Result> void writeResultsLinkedToProjects(SparkSession spark, Class<R> inputClazz,
String inputPath, String outputPath, String graphPath) {
private static <R extends Result> void writeResultsLinkedToProjects(String communityMapPath, SparkSession spark,
Class<R> inputClazz,
String inputPath, String outputPath, String resultProjectsPath) {
Dataset<R> results = Utils
.readPath(spark, inputPath, inputClazz)
.filter("dataInfo.deletedbyinference = false and datainfo.invisible = false");
Dataset<Relation> relations = Utils
.readPath(spark, graphPath + "/relation", Relation.class)
.filter(
"dataInfo.deletedbyinference = false and lower(relClass) = '"
+ ModelConstants.IS_PRODUCED_BY.toLowerCase() + "'");
Dataset<Project> project = Utils.readPath(spark, graphPath + "/project", Project.class);
results.createOrReplaceTempView("result");
relations.createOrReplaceTempView("relation");
project.createOrReplaceTempView("project");
Dataset<R> tmp = spark
.sql(
"Select res.* " +
"from relation rel " +
"join result res " +
"on rel.source = res.id " +
"join project p " +
"on rel.target = p.id " +
"")
.as(Encoders.bean(inputClazz));
tmp
.groupByKey(
(MapFunction<R, String>) value -> value
.getId(),
Encoders.STRING())
.mapGroups((MapGroupsFunction<String, R, R>) (k, it) -> it.next(), Encoders.bean(inputClazz))
(FilterFunction<R>) r -> !r.getDataInfo().getDeletedbyinference() &&
!r.getDataInfo().getInvisible());
Dataset<ResultProject> resultProjectDataset = Utils
.readPath(spark, resultProjectsPath, ResultProject.class);
CommunityMap communityMap = Utils.getCommunityMap(spark, communityMapPath);
results
.joinWith(resultProjectDataset, results.col("id").equalTo(resultProjectDataset.col("resultId")))
.map((MapFunction<Tuple2<R, ResultProject>, CommunityResult>) t2 -> {
CommunityResult cr = (CommunityResult) ResultMapper
.map(
t2._1(),
communityMap, Constants.DUMPTYPE.FUNDER.getType());
cr.setProjects(t2._2().getProjectsList());
return cr;
}, Encoders.bean(CommunityResult.class))
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")

View File

@ -0,0 +1,100 @@
package eu.dnetlib.dhp.oa.graph.dump.projectssubset;
import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.io.Serializable;
import java.util.List;
import java.util.Objects;
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.FilterFunction;
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.jetbrains.annotations.NotNull;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import eu.dnetlib.dhp.application.ArgumentApplicationParser;
import eu.dnetlib.dhp.oa.graph.dump.Utils;
import eu.dnetlib.dhp.schema.dump.oaf.community.Funder;
import eu.dnetlib.dhp.schema.dump.oaf.graph.Project;
import scala.Tuple2;
public class ProjectsSubsetSparkJob implements Serializable {
private static final Logger log = LoggerFactory.getLogger(ProjectsSubsetSparkJob.class);
public static void main(String[] args) throws Exception {
String jsonConfiguration = IOUtils
.toString(
ProjectsSubsetSparkJob.class
.getResourceAsStream(
"/eu/dnetlib/dhp/oa/graph/dump/project_subset_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 outputPath = parser.get("outputPath");
log.info("outputPath: {}", outputPath);
final String projectListPath = parser.get("projectListPath");
log.info("projectListPath: {}", projectListPath);
SparkConf conf = new SparkConf();
runWithSparkSession(
conf,
isSparkSessionManaged,
spark -> {
Utils.removeOutputDir(spark, outputPath);
getNewProjectList(spark, inputPath, outputPath, projectListPath);
});
}
private static void getNewProjectList(SparkSession spark, String inputPath, String outputPath,
String projectListPath) {
Dataset<String> projectList = spark.read().textFile(projectListPath);
Dataset<Project> projects;
projects = Utils.readPath(spark, inputPath, Project.class);
projects
.joinWith(projectList, projects.col("id").equalTo(projectList.col("value")), "left")
.map((MapFunction<Tuple2<Project, String>, Project>) t2 -> {
if (Optional.ofNullable(t2._2()).isPresent())
return null;
return t2._1();
}, Encoders.bean(Project.class))
.filter(Objects::nonNull)
.write()
.mode(SaveMode.Overwrite)
.option("compression", "gzip")
.json(outputPath);
Utils
.readPath(spark, outputPath, Project.class)
.map((MapFunction<Project, String>) p -> p.getId(), Encoders.STRING())
.write()
.mode(SaveMode.Append)
.option("compression", "gzip")
.text(projectListPath);
}
}

View File

@ -5,6 +5,7 @@ import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
import java.util.*;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import org.apache.commons.io.IOUtils;
import org.apache.spark.SparkConf;
@ -136,7 +137,7 @@ public class MergeGraphTableSparkJob {
/**
* Datasources involved in the merge operation doesn't obey to the infra precedence policy, but relies on a custom
* behaviour that, given two datasources from beta and prod returns the one from prod with the highest
* compatibility among the two.
* compatibility among the two. Furthermore, the procedure merges the collectedfrom, originalId, and pid lists.
*
* @param p datasource from PROD
* @param b datasource from BETA
@ -160,9 +161,37 @@ public class MergeGraphTableSparkJob {
List<Qualifier> list = Arrays.asList(dp.getOpenairecompatibility(), db.getOpenairecompatibility());
dp.setOpenairecompatibility(Collections.min(list, new DatasourceCompatibilityComparator()));
dp
.setCollectedfrom(
Stream
.concat(
Optional
.ofNullable(dp.getCollectedfrom())
.map(Collection::stream)
.orElse(Stream.empty()),
Optional
.ofNullable(db.getCollectedfrom())
.map(Collection::stream)
.orElse(Stream.empty()))
.distinct() // relies on KeyValue.equals
.collect(Collectors.toList()));
dp.setOriginalId(mergeLists(dp.getOriginalId(), db.getOriginalId()));
dp.setPid(mergeLists(dp.getPid(), db.getPid()));
return (P) dp;
}
private static final <T> List<T> mergeLists(final List<T>... lists) {
return Arrays
.stream(lists)
.filter(Objects::nonNull)
.flatMap(List::stream)
.filter(Objects::nonNull)
.distinct()
.collect(Collectors.toList());
}
private static <P extends Oaf, B extends Oaf> P mergeWithPriorityToPROD(Optional<P> p, Optional<B> b) {
if (b.isPresent() & !p.isPresent()) {
return (P) b.get();

View File

@ -27,15 +27,7 @@ import static eu.dnetlib.dhp.schema.common.ModelConstants.RESULT_PROJECT;
import static eu.dnetlib.dhp.schema.common.ModelConstants.RESULT_RESULT;
import static eu.dnetlib.dhp.schema.common.ModelConstants.SOFTWARE_DEFAULT_RESULTTYPE;
import static eu.dnetlib.dhp.schema.common.ModelConstants.USER_CLAIM;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.asString;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.createOpenaireId;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.dataInfo;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.field;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.journal;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.listFields;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.listKeyValues;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.qualifier;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.structuredProperty;
import static eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils.*;
import java.io.Closeable;
import java.io.IOException;
@ -143,8 +135,8 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
smdbe.execute("queryClaims.sql", smdbe::processClaims);
break;
case openaire:
log.info("Processing datasources...");
smdbe.execute("queryDatasources.sql", smdbe::processDatasource, verifyNamespacePrefix);
log.info("Processing services...");
smdbe.execute("queryServices.sql", smdbe::processService, verifyNamespacePrefix);
log.info("Processing projects...");
if (dbSchema.equalsIgnoreCase("beta")) {
@ -156,10 +148,10 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
log.info("Processing Organizations...");
smdbe.execute("queryOrganizations.sql", smdbe::processOrganization, verifyNamespacePrefix);
log.info("Processing relationsNoRemoval ds <-> orgs ...");
log.info("Processing relations services <-> orgs ...");
smdbe
.execute(
"queryDatasourceOrganization.sql", smdbe::processDatasourceOrganization,
"queryServiceOrganization.sql", smdbe::processServiceOrganization,
verifyNamespacePrefix);
log.info("Processing projects <-> orgs ...");
@ -235,32 +227,30 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
dbClient.processResults(sql, consumer);
}
public List<Oaf> processDatasource(final ResultSet rs) {
public List<Oaf> processService(final ResultSet rs) {
try {
final DataInfo info = prepareDataInfo(rs);
final Datasource ds = new Datasource();
ds.setId(createOpenaireId(10, rs.getString("datasourceid"), true));
ds.setId(createOpenaireId(10, rs.getString("id"), true));
ds
.setOriginalId(
Arrays
.asList((String[]) rs.getArray("identities").getArray())
.asList((String[]) rs.getArray("originalid").getArray())
.stream()
.filter(StringUtils::isNotBlank)
.collect(Collectors.toList()));
ds
.setCollectedfrom(
listKeyValues(
createOpenaireId(10, rs.getString("collectedfromid"), true),
rs.getString("collectedfromname")));
ds.setPid(new ArrayList<>());
ds.setCollectedfrom(prepareCollectedfrom(rs.getArray("collectedfrom")));
ds.setPid(prepareListOfStructProps(rs.getArray("pid"), info));
ds.setDateofcollection(asString(rs.getDate("dateofcollection")));
ds.setDateoftransformation(null); // Value not returned by the SQL query
ds.setExtraInfo(new ArrayList<>()); // Values not present in the DB
ds.setOaiprovenance(null); // Values not present in the DB
ds.setDatasourcetype(prepareQualifierSplitting(rs.getString("datasourcetype")));
ds.setDatasourcetypeui(prepareQualifierSplitting(rs.getString("datasourcetypeui")));
ds.setEosctype(prepareQualifierSplitting(rs.getString("eosctype")));
ds.setEoscdatasourcetype(prepareQualifierSplitting(rs.getString("eoscdatasourcetype")));
ds.setOpenairecompatibility(prepareQualifierSplitting(rs.getString("openairecompatibility")));
ds.setOfficialname(field(rs.getString("officialname"), info));
ds.setEnglishname(field(rs.getString("englishname"), info));
@ -277,20 +267,19 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
ds.setOdnumberofitemsdate(field(asString(rs.getDate("odnumberofitemsdate")), info));
ds.setOdpolicies(field(rs.getString("odpolicies"), info));
ds.setOdlanguages(prepareListFields(rs.getArray("odlanguages"), info));
ds.setOdcontenttypes(prepareListFields(rs.getArray("odcontenttypes"), info));
ds.setLanguages(listValues(rs.getArray("languages")));
ds.setAccessinfopackage(prepareListFields(rs.getArray("accessinfopackage"), info));
ds.setReleasestartdate(field(asString(rs.getDate("releasestartdate")), info));
ds.setReleaseenddate(field(asString(rs.getDate("releaseenddate")), info));
ds.setMissionstatementurl(field(rs.getString("missionstatementurl"), info));
ds.setDataprovider(field(rs.getBoolean("dataprovider"), info));
ds.setServiceprovider(field(rs.getBoolean("serviceprovider"), info));
ds.setDatabaseaccesstype(field(rs.getString("databaseaccesstype"), info));
ds.setDatauploadtype(field(rs.getString("datauploadtype"), info));
ds.setDatabaseaccessrestriction(field(rs.getString("databaseaccessrestriction"), info));
ds.setDatauploadrestriction(field(rs.getString("datauploadrestriction"), info));
ds.setVersioning(field(rs.getBoolean("versioning"), info));
ds.setVersioncontrol(rs.getBoolean("versioncontrol"));
ds.setCitationguidelineurl(field(rs.getString("citationguidelineurl"), info));
ds.setQualitymanagementkind(field(rs.getString("qualitymanagementkind"), info));
ds.setPidsystems(field(rs.getString("pidsystems"), info));
ds.setCertificates(field(rs.getString("certificates"), info));
ds.setPolicies(new ArrayList<>()); // The sql query returns an empty array
@ -299,13 +288,18 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
journal(
rs.getString("officialname"), rs.getString("issnPrinted"), rs.getString("issnOnline"),
rs.getString("issnLinking"), info)); // Journal
ds.setDataInfo(info);
ds.setLastupdatetimestamp(lastUpdateTimestamp);
ds.setResearchentitytypes(listValues(rs.getArray("researchentitytypes")));
ds.setJurisdiction(prepareQualifierSplitting(rs.getString("jurisdiction")));
ds.setThematic(rs.getBoolean("thematic"));
ds.setKnowledgegraph(rs.getBoolean("knowledgegraph"));
ds.setContentpolicies(prepareListOfQualifiers(rs.getArray("contentpolicies")));
ds.setSubmissionpolicyurl(rs.getString("submissionpolicyurl"));
ds.setPreservationpolicyurl(rs.getString("preservationpolicyurl"));
ds.setResearchproductaccesspolicies(listValues(rs.getArray("researchproductaccesspolicies")));
ds
.setResearchproductmetadataaccesspolicies(
listValues(rs.getArray("researchproductmetadataaccesspolicies")));
ds.setConsenttermsofuse(rs.getBoolean("consenttermsofuse"));
ds.setFulltextdownload(rs.getBoolean("fulltextdownload"));
ds
@ -313,8 +307,18 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
Optional
.ofNullable(
rs.getDate("consenttermsofusedate"))
.map(c -> c.toString())
.map(java.sql.Date::toString)
.orElse(null));
ds
.setLastconsenttermsofusedate(
Optional
.ofNullable(
rs.getDate("lastconsenttermsofusedate"))
.map(java.sql.Date::toString)
.orElse(null));
ds.setDataInfo(info);
ds.setLastupdatetimestamp(lastUpdateTimestamp);
return Arrays.asList(ds);
} catch (final Exception e) {
@ -425,11 +429,11 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
}
}
public List<Oaf> processDatasourceOrganization(final ResultSet rs) {
public List<Oaf> processServiceOrganization(final ResultSet rs) {
try {
final DataInfo info = prepareDataInfo(rs);
final String orgId = createOpenaireId(20, rs.getString("organization"), true);
final String dsId = createOpenaireId(10, rs.getString("datasource"), true);
final String dsId = createOpenaireId(10, rs.getString("service"), true);
final List<KeyValue> collectedFrom = listKeyValues(
createOpenaireId(10, rs.getString("collectedfromid"), true), rs.getString("collectedfromname"));
@ -603,6 +607,32 @@ public class MigrateDbEntitiesApplication extends AbstractMigrationApplication i
String.format("%.3f", trust));
}
private List<KeyValue> prepareCollectedfrom(Array values) throws SQLException {
if (Objects.isNull(values)) {
return null;
}
return Arrays
.stream((String[]) values.getArray())
.filter(Objects::nonNull)
.distinct()
.map(s -> keyValueSplitting(s, "@@@"))
.collect(Collectors.toList());
}
public static KeyValue keyValueSplitting(final String s, String separator) {
if (StringUtils.isBlank(s)) {
return null;
}
final String[] arr = s.split(separator);
if (arr.length != 2) {
return null;
}
KeyValue kv = new KeyValue();
kv.setKey(createOpenaireId(10, arr[0], true));
kv.setValue(arr[1]);
return kv;
}
private Qualifier prepareQualifierSplitting(final String s) {
if (StringUtils.isBlank(s)) {
return null;

View File

@ -13,6 +13,23 @@
<name>isLookupUrl</name>
<description>the address of the lookUp service</description>
</property>
<property>
<name>shouldCleanContext</name>
<description>true if the context have to be cleaned</description>
</property>
<property>
<name>contextId</name>
<value>sobigdata</value>
<description>It is the context id that should be removed from the result if the condition is matched.
Now it is just sobigdata. In a futere implementation I plan to have the contextId as value in a json
where to specify also the constraints that should be verified to remove the context from the result</description>
</property>
<property>
<name>verifyParam</name>
<value>gcube </value>
<description>It is the constrint to be verified. This time is hardcoded as gcube and it is searched for in
the title. If title starts with gcube than the context sobigdata will be removed by the result if present</description>
</property>
<property>
<name>sparkDriverMemory</name>
@ -275,7 +292,131 @@
<error to="Kill"/>
</action>
<join name="wait_clean" to="End"/>
<join name="wait_clean" to="clean_context"/>
<decision name="clean_context">
<switch>
<case to="fork_clean_context">${wf:conf('shouldCleanContext') eq true}</case>
<default to="End"/>
</switch>
</decision>
<fork name="fork_clean_context">
<path start="clean_publication_context"/>
<path start="clean_dataset_context"/>
<path start="clean_otherresearchproduct_context"/>
<path start="clean_software_context"/>
</fork>
<action name="clean_publication_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean publications context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${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=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/publication</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/publication</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<action name="clean_dataset_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean datasets Context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${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}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/dataset</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/dataset</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<action name="clean_otherresearchproduct_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean otherresearchproducts context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${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=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/otherresearchproduct</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/otherresearchproduct</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<action name="clean_software_context">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Clean softwares context</name>
<class>eu.dnetlib.dhp.oa.graph.clean.CleanContextSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-cores=${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}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--inputPath</arg><arg>${graphOutputPath}/software</arg>
<arg>--graphTableClassName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--workingPath</arg><arg>${workingDir}/working/software</arg>
<arg>--contextId</arg><arg>${contextId}</arg>
<arg>--verifyParam</arg><arg>${verifyParam}</arg>
</spark>
<ok to="wait_clean_context"/>
<error to="Kill"/>
</action>
<join name="wait_clean_context" to="End"/>
<end name="End"/>
</workflow-app>

View File

@ -21,6 +21,6 @@
"paramName": "gp",
"paramLongName": "graphPath",
"paramDescription": "the relationPath",
"paramRequired": true
"paramRequired": false
}
]

View File

@ -0,0 +1,23 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",
"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
}
]

View File

@ -28,6 +28,12 @@
"paramLongName":"graphPath",
"paramDescription": "the path to the relations",
"paramRequired": true
},
{
"paramName":"cmp",
"paramLongName":"communityMapPath",
"paramDescription": "the path to the relations",
"paramRequired": true
}
]

View File

@ -0,0 +1,29 @@
[
{
"paramName":"s",
"paramLongName":"sourcePath",
"paramDescription": "the path of the sequencial file to read",
"paramRequired": true
},
{
"paramName": "out",
"paramLongName": "outputPath",
"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
},
{
"paramName": "pl",
"paramLongName": "projectListPath",
"paramDescription": "the path of the association result projectlist",
"paramRequired": true
}
]

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>

View File

@ -0,0 +1,185 @@
<workflow-app name="dump_graph" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
<description>the source path</description>
</property>
<property>
<name>projectListPath</name>
<description>the path to the project list</description>
</property>
<property>
<name>outputPath</name>
<description>the output path</description>
</property>
<property>
<name>accessToken</name>
<description>the access token used for the deposition in Zenodo</description>
</property>
<property>
<name>connectionUrl</name>
<description>the connection url for Zenodo</description>
</property>
<property>
<name>metadata</name>
<description> the metadata associated to the deposition</description>
</property>
<property>
<name>depositionType</name>
<description>the type of deposition we want to perform. "new" for brand new deposition, "version" for a new version of a published deposition (in this case the concept record id must be provided), "upload" to upload content to an open deposition for which we already have the deposition id (in this case the deposition id should be provided)</description>
</property>
<property>
<name>conceptRecordId</name>
<description>for new version, the id of the record for the old deposition</description>
</property>
<property>
<name>depositionId</name>
<description>the depositionId of a deposition open that has to be added content</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>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="dump_project"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="dump_project">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table project </name>
<class>eu.dnetlib.dhp.oa.graph.dump.complete.SparkDumpEntitiesJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${sourcePath}/project</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Project</arg>
<arg>--outputPath</arg><arg>${workingDir}/project</arg>
<arg>--communityMapPath</arg><arg>noneed</arg>
</spark>
<ok to="get_new_projects"/>
<error to="Kill"/>
</action>
<action name="get_new_projects">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table project </name>
<class>eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectsSubsetSparkJob</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${workingDir}/project</arg>
<arg>--outputPath</arg><arg>${workingDir}/tar/project</arg>
<arg>--projectListPath</arg><arg>${projectListPath}</arg>
</spark>
<ok to="make_archive"/>
<error to="Kill"/>
</action>
<action name="make_archive">
<java>
<main-class>eu.dnetlib.dhp.oa.graph.dump.MakeTar</main-class>
<arg>--hdfsPath</arg><arg>${outputPath}</arg>
<arg>--nameNode</arg><arg>${nameNode}</arg>
<arg>--sourcePath</arg><arg>${workingDir}/tar</arg>
</java>
<ok to="send_zenodo"/>
<error to="Kill"/>
</action>
<action name="send_zenodo">
<java>
<main-class>eu.dnetlib.dhp.oa.graph.dump.SendToZenodoHDFS</main-class>
<arg>--hdfsPath</arg><arg>${outputPath}</arg>
<arg>--nameNode</arg><arg>${nameNode}</arg>
<arg>--accessToken</arg><arg>${accessToken}</arg>
<arg>--connectionUrl</arg><arg>${connectionUrl}</arg>
<arg>--metadata</arg><arg>${metadata}</arg>
<arg>--conceptRecordId</arg><arg>${conceptRecordId}</arg>
<arg>--depositionType</arg><arg>${depositionType}</arg>
<arg>--depositionId</arg><arg>${depositionId}</arg>
</java>
<ok to="End"/>
<error to="Kill"/>
</action>
<end name="End"/>
</workflow-app>

View File

@ -1,347 +0,0 @@
<workflow-app name="sub_dump_community_funder_results" xmlns="uri:oozie:workflow:0.5">
<parameters>
<property>
<name>sourcePath</name>
<description>the source path</description>
</property>
<property>
<name>outputPath</name>
<description>the output path</description>
</property>
<property>
<name>communityMapPath</name>
<description>the path to the community map</description>
</property>
<property>
<name>selectedResults</name>
<description>the path the the possible subset ot results to be dumped</description>
</property>
<property>
<name>hiveDbName</name>
<description>the target hive database name</description>
</property>
<property>
<name>hiveJdbcUrl</name>
<description>hive server jdbc url</description>
</property>
<property>
<name>hiveMetastoreUris</name>
<description>hive server metastore URIs</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>${oozieActionShareLibForSpark2}</value>
</property>
</configuration>
</global>
<start to="fork_dump"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<fork name="fork_dump">
<path start="dump_publication"/>
<path start="dump_dataset"/>
<path start="dump_orp"/>
<path start="dump_software"/>
</fork>
<action name="dump_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table publication for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${selectedResults}/publication</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
<arg>--dumpType</arg><arg>${dumpType}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table dataset for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${selectedResults}/dataset</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table ORP for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${selectedResults}/otherresearchproduct</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table software for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${selectedResults}/software</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/software</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<join name="join_dump" to="prepareResultProject"/>
<action name="prepareResultProject">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Prepare association result subset of project info</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkPrepareResultProject</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_extendWithProject"/>
<error to="Kill"/>
</action>
<fork name="fork_extendWithProject">
<path start="extend_publication"/>
<path start="extend_dataset"/>
<path start="extend_orp"/>
<path start="extend_software"/>
</fork>
<action name="extend_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped publications with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped dataset with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped ORP with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/orp</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped software with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${workingDir}/dump/software</arg>
<arg>--outputPath</arg><arg>${outputPath}/ext/software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<join name="join_extend" to="End"/>
<end name="End"/>
</workflow-app>

View File

@ -1,2 +0,0 @@
## This is a classpath-based import file (this header is required)
dump_common classpath eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/commoncommunityfunder/oozie_app

View File

@ -77,42 +77,259 @@
</configuration>
</global>
<start to="common_action_community_funder"/>
<start to="fork_dump"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="common_action_community_funder">
<sub-workflow>
<app-path>${wf:appPath()}/dump_common
</app-path>
<propagate-configuration/>
<configuration>
<property>
<name>sourcePath</name>
<value>${sourcePath}</value>
</property>
<property>
<name>selectedResults</name>
<value>${sourcePath}</value>
</property>
<property>
<name>communityMapPath</name>
<value>${workingDir}/communityMap</value>
</property>
<property>
<name>outputPath</name>
<value>${workingDir}</value>
</property>
</configuration>
</sub-workflow>
<ok to="splitForCommunities" />
<error to="Kill" />
<fork name="fork_dump">
<path start="dump_publication"/>
<path start="dump_dataset"/>
<path start="dump_orp"/>
<path start="dump_software"/>
</fork>
<action name="dump_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table publication for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${sourcePath}/publication</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
<arg>--dumpType</arg><arg>${dumpType}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table dataset for community/funder related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table ORP for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<action name="dump_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Dump table software for community related products</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkDumpCommunityProducts</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${sourcePath}/software</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${workingDir}/dump/software</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_dump"/>
<error to="Kill"/>
</action>
<join name="join_dump" to="prepareResultProject"/>
<action name="prepareResultProject">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Prepare association result subset of project info</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkPrepareResultProject</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_extendWithProject"/>
<error to="Kill"/>
</action>
<fork name="fork_extendWithProject">
<path start="extend_publication"/>
<path start="extend_dataset"/>
<path start="extend_orp"/>
<path start="extend_software"/>
</fork>
<action name="extend_publication">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped publications with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/publication</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_dataset">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped dataset with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${workingDir}/dump/dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/dataset</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_orp">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped ORP with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/dump/otherresearchproduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/orp</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<action name="extend_software">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Extend dumped software with information about project</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkUpdateProjectInfo</class>
<jar>dhp-graph-mapper-${projectVersion}.jar</jar>
<spark-opts>
--executor-memory=${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>--sourcePath</arg><arg>${workingDir}/dump/software</arg>
<arg>--outputPath</arg><arg>${workingDir}/ext/software</arg>
<arg>--preparedInfoPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="join_extend"/>
<error to="Kill"/>
</action>
<join name="join_extend" to="splitForCommunities"/>
<action name="splitForCommunities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>

View File

@ -298,6 +298,7 @@
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
--conf spark.sql.shuffle.partitions=3840
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/validrelation</arg>

View File

@ -1,2 +0,0 @@
## This is a classpath-based import file (this header is required)
dump_common classpath eu/dnetlib/dhp/oa/graph/dump/wf/subworkflows/commoncommunityfunder/oozie_app

View File

@ -77,12 +77,36 @@
</configuration>
</global>
<start to="fork_result_linked_to_projects"/>
<start to="prepareResultProject"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<action name="prepareResultProject">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>Prepare association result subset of project info</name>
<class>eu.dnetlib.dhp.oa.graph.dump.community.SparkPrepareResultProject</class>
<jar>dhp-graph-mapper-${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=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
<arg>--outputPath</arg><arg>${workingDir}/preparedInfo</arg>
</spark>
<ok to="fork_result_linked_to_projects"/>
<error to="Kill"/>
</action>
<fork name="fork_result_linked_to_projects">
<path start="select_publication_linked_to_projects"/>
@ -111,7 +135,8 @@
<arg>--sourcePath</arg><arg>${sourcePath}/publication</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Publication</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/publication</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
@ -137,7 +162,8 @@
<arg>--sourcePath</arg><arg>${sourcePath}/dataset</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Dataset</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/dataset</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
@ -163,7 +189,8 @@
<arg>--sourcePath</arg><arg>${sourcePath}/otherresearchproduct</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.OtherResearchProduct</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/otherresearchproduct</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
@ -189,41 +216,14 @@
<arg>--sourcePath</arg><arg>${sourcePath}/software</arg>
<arg>--resultTableName</arg><arg>eu.dnetlib.dhp.schema.oaf.Software</arg>
<arg>--outputPath</arg><arg>${workingDir}/result/software</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
<arg>--graphPath</arg><arg>${workingDir}/preparedInfo</arg>
<arg>--communityMapPath</arg><arg>${communityMapPath}</arg>
</spark>
<ok to="join_link"/>
<error to="Kill"/>
</action>
<join name="join_link" to="common_action_community_funder"/>
<action name="common_action_community_funder">
<sub-workflow>
<app-path>${wf:appPath()}/dump_common
</app-path>
<propagate-configuration/>
<configuration>
<property>
<name>sourcePath</name>
<value>${sourcePath}</value>
</property>
<property>
<name>selectedResults</name>
<value>${workingDir}/result</value>
</property>
<property>
<name>communityMapPath</name>
<value>${workingDir}/communityMap</value>
</property>
<property>
<name>outputPath</name>
<value>${workingDir}</value>
</property>
</configuration>
</sub-workflow>
<ok to="dump_funder_results" />
<error to="Kill" />
</action>
<join name="join_link" to="dump_funder_results"/>
<action name="dump_funder_results">
<spark xmlns="uri:oozie:spark-action:0.2">
@ -242,9 +242,8 @@
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
--conf spark.sql.warehouse.dir=${sparkSqlWarehouseDir}
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/ext</arg>
<arg>--sourcePath</arg><arg>${workingDir}/result</arg>
<arg>--outputPath</arg><arg>${outputPath}</arg>
<arg>--graphPath</arg><arg>${sourcePath}</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>

View File

@ -0,0 +1,37 @@
[
{
"paramName": "issm",
"paramLongName": "isSparkSessionManaged",
"paramDescription": "when true will stop SparkSession after job execution",
"paramRequired": false
},
{
"paramName": "in",
"paramLongName": "inputPath",
"paramDescription": "the path to the graph data dump to read",
"paramRequired": true
},
{
"paramName": "wp",
"paramLongName": "workingPath",
"paramDescription": "the path to store the output graph",
"paramRequired": true
},
{
"paramName": "ci",
"paramLongName": "contextId",
"paramDescription": "the id of the context to be removed",
"paramRequired": true
},
{
"paramName": "class",
"paramLongName": "graphTableClassName",
"paramDescription": "class name moelling the graph table",
"paramRequired": true
},{
"paramName": "vf",
"paramLongName": "verifyParam",
"paramDescription": "the parameter to be verified to remove the context",
"paramRequired": true
}
]

View File

@ -30,6 +30,11 @@
<value></value>
<description>a blacklist of nsprefixes (comma separeted)</description>
</property>
<property>
<name>reuseContent</name>
<value>false</value>
<description>reuse content in the aggregator database</description>
</property>
<property>
<name>sparkDriverMemory</name>
<description>memory for driver process</description>
@ -85,12 +90,20 @@
</configuration>
</global>
<start to="ImportDB"/>
<start to="reuse_db"/>
<kill name="Kill">
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
</kill>
<decision name="reuse_db">
<switch>
<case to="ImportDB">${wf:conf('reuseContent') eq false}</case>
<case to="GenerateEntities">${wf:conf('reuseContent') eq true}</case>
<default to="ImportDB"/>
</switch>
</decision>
<action name="ImportDB">
<java>
<prepare>
@ -102,6 +115,7 @@
<arg>--postgresUser</arg><arg>${postgresUser}</arg>
<arg>--postgresPassword</arg><arg>${postgresPassword}</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--action</arg><arg>openaire</arg>
<arg>--dbschema</arg><arg>${dbSchema}</arg>
<arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
</java>
@ -124,6 +138,55 @@
<arg>--action</arg><arg>claims</arg>
<arg>--nsPrefixBlacklist</arg><arg>${nsPrefixBlacklist}</arg>
</java>
<ok to="GenerateEntities"/>
<error to="Kill"/>
</action>
<action name="GenerateEntities">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>GenerateEntities</name>
<class>eu.dnetlib.dhp.oa.graph.raw.GenerateEntitiesApplication</class>
<jar>dhp-graph-mapper-${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}${spark2EventLogDir}
</spark-opts>
<arg>--sourcePaths</arg><arg>${contentPath}/db_records,${contentPath}/db_claims</arg>
<arg>--targetPath</arg><arg>${workingDir}/entities</arg>
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
<arg>--shouldHashId</arg><arg>true</arg>
</spark>
<ok to="GenerateGraph"/>
<error to="Kill"/>
</action>
<action name="GenerateGraph">
<spark xmlns="uri:oozie:spark-action:0.2">
<master>yarn</master>
<mode>cluster</mode>
<name>GenerateGraph</name>
<class>eu.dnetlib.dhp.oa.graph.raw.DispatchEntitiesApplication</class>
<jar>dhp-graph-mapper-${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}${spark2EventLogDir}
--conf spark.sql.shuffle.partitions=7680
</spark-opts>
<arg>--sourcePath</arg><arg>${workingDir}/entities</arg>
<arg>--graphRawPath</arg><arg>${workingDir}/graph_aggregator</arg>
</spark>
<ok to="End"/>
<error to="Kill"/>
</action>

View File

@ -27,7 +27,7 @@ SELECT
'sysimport:crosswalk:entityregistry@@@dnet:provenance_actions' AS provenanceaction,
array_remove(array_agg(DISTINCT i.pid || '###' || i.issuertype || '@@@' || i.issuertype), NULL) AS pid
FROM dsm_organizations o
LEFT OUTER JOIN dsm_datasources d ON (d.id = o.collectedfrom)
LEFT OUTER JOIN dsm_services d ON (d.id = o.collectedfrom)
LEFT OUTER JOIN dsm_organizationpids p ON (p.organization = o.id)
LEFT OUTER JOIN dsm_identities i ON (i.pid = p.pid)
GROUP BY

View File

@ -16,4 +16,4 @@ SELECT
FROM project_organization po
LEFT OUTER JOIN projects p ON (p.id = po.project)
LEFT OUTER JOIN dsm_datasources dc ON (dc.id = p.collectedfrom);
LEFT OUTER JOIN dsm_services dc ON (dc.id = p.collectedfrom);

View File

@ -42,7 +42,7 @@ SELECT
LEFT OUTER JOIN projectpids pp ON (pp.project = p.id)
LEFT OUTER JOIN dsm_identities i ON (i.pid = pp.pid)
LEFT OUTER JOIN dsm_datasources dc ON (dc.id = p.collectedfrom)
LEFT OUTER JOIN dsm_services dc ON (dc.id = p.collectedfrom)
LEFT OUTER JOIN project_fundingpath pf ON (pf.project = p.id)
LEFT OUTER JOIN fundingpaths fp ON (fp.id = pf.funding)

View File

@ -40,7 +40,7 @@ SELECT
LEFT OUTER JOIN projectpids pp ON (pp.project = p.id)
LEFT OUTER JOIN dsm_identities i ON (i.pid = pp.pid)
LEFT OUTER JOIN dsm_datasources dc ON (dc.id = p.collectedfrom)
LEFT OUTER JOIN dsm_services dc ON (dc.id = p.collectedfrom)
LEFT OUTER JOIN project_fundingpath pf ON (pf.project = p.id)
LEFT OUTER JOIN fundingpaths fp ON (fp.id = pf.funding)

View File

@ -1,5 +1,5 @@
SELECT
dor.datasource AS datasource,
dor.service AS service,
dor.organization AS organization,
NULL AS startdate,
NULL AS enddate,
@ -11,6 +11,6 @@ SELECT
dc.officialname AS collectedfromname,
'providedBy@@@dnet:datasources_organizations_typologies' AS semantics,
d.provenanceaction || '@@@dnet:provenanceActions' AS provenanceaction
FROM dsm_datasource_organization dor
LEFT OUTER JOIN dsm_datasources d ON (dor.datasource = d.id)
LEFT OUTER JOIN dsm_datasources dc ON (dc.id = d.collectedfrom);
FROM dsm_service_organization dor
LEFT OUTER JOIN dsm_services d ON (dor.service = d.id)
LEFT OUTER JOIN dsm_services dc ON (dc.id = d.collectedfrom);

View File

@ -1,6 +1,7 @@
SELECT
d.id AS datasourceid,
d.id || array_agg(distinct di.pid) AS identities,
d.id AS id,
array_remove(d.id || array_agg(distinct CASE WHEN dp.pid like 'piwik%' THEN di.pid ELSE NULL END) || array_agg(distinct dds.duplicate), NULL) AS originalid,
array_remove(array_agg(distinct CASE WHEN di.pid NOT LIKE 'piwik%' THEN di.pid||'###'||di.issuertype||'@@@'||'dnet:pid_types' ELSE NULL END), NULL) as pid,
d.officialname AS officialname,
d.englishname AS englishname,
d.contactemail AS contactemail,
@ -9,8 +10,8 @@ SELECT
THEN
'openaire-cris_1.1@@@dnet:datasourceCompatibilityLevel'
WHEN (array_agg(DISTINCT COALESCE (a.compatibility_override, a.compatibility):: TEXT) @> ARRAY ['openaire4.0'])
THEN
'openaire4.0@@@dnet:datasourceCompatibilityLevel'
THEN
'openaire4.0@@@dnet:datasourceCompatibilityLevel'
WHEN (array_agg(DISTINCT COALESCE (a.compatibility_override, a.compatibility):: TEXT) @> ARRAY ['driver', 'openaire2.0'])
THEN
'driver-openaire2.0@@@dnet:datasourceCompatibilityLevel'
@ -40,25 +41,29 @@ SELECT
END AS openairecompatibility,
d.websiteurl AS websiteurl,
d.logourl AS logourl,
array_agg(DISTINCT CASE WHEN a.protocol = 'oai' and last_aggregation_date is not null THEN a.baseurl ELSE NULL END) AS accessinfopackage,
array_remove(array_agg(DISTINCT CASE WHEN a.protocol = 'oai' and last_aggregation_date is not null THEN a.baseurl ELSE NULL END), NULL) AS accessinfopackage,
d.latitude AS latitude,
d.longitude AS longitude,
d.namespaceprefix AS namespaceprefix,
NULL AS odnumberofitems,
NULL AS odnumberofitemsdate,
(SELECT array_agg(s|| '###keywords@@@dnet:subject_classification_typologies')
(SELECT array_agg(s|| '###keyword@@@dnet:subject_classification_typologies')
FROM UNNEST(
ARRAY(
SELECT trim(s)
FROM unnest(string_to_array(d.subjects, '@@')) AS s)) AS s) AS subjects,
FROM unnest(string_to_array(d.subjects, '@@')) AS s)) AS s) AS subjects,
d.description AS description,
NULL AS odpolicies,
ARRAY(SELECT trim(s)
FROM unnest(string_to_array(d.languages, ',')) AS s) AS odlanguages,
ARRAY(SELECT trim(s)
FROM unnest(string_to_array(d.od_contenttypes, '-')) AS s) AS odcontenttypes,
array_remove(ARRAY(SELECT trim(s)
FROM unnest(string_to_array(regexp_replace(d.languages, '{|}|"', '', 'g'), ',')) AS s), '{}') AS odlanguages,
array_remove(ARRAY(SELECT trim(s)
FROM unnest(string_to_array(regexp_replace(d.languages, '{|}|"', '', 'g'), ',')) AS s), '{}') AS languages,
-- Term provided only by OpenDOAR:
-- probably updating the TR it could be replaced by research_entity_types[]
-- But a study on the vocabulary terms is needed
-- REMOVED: ARRAY(SELECT trim(s) FROM unnest(string_to_array(d.od_contenttypes, '-')) AS s) AS odcontenttypes,
false AS inferred,
false AS deletedbyinference,
0.9 AS trust,
@ -69,39 +74,59 @@ SELECT
d.releasestartdate AS releasestartdate,
d.releaseenddate AS releaseenddate,
d.missionstatementurl AS missionstatementurl,
d.dataprovider AS dataprovider,
d.serviceprovider AS serviceprovider,
-- the following 2 fields (provided by re3data) have been replaced by research_entity_types[]
-- VALUE 'Research Data' : d.dataprovider AS dataprovider,
-- VALUE 'Services' : d.serviceprovider AS serviceprovider,
d.databaseaccesstype AS databaseaccesstype,
d.datauploadtype AS datauploadtype,
d.databaseaccessrestriction AS databaseaccessrestriction,
d.datauploadrestriction AS datauploadrestriction,
d.versioning AS versioning,
-- REPLACED BY version_control : d.versioning AS versioning,
d.version_control AS versioning,
d.version_control AS versioncontrol,
d.citationguidelineurl AS citationguidelineurl,
d.qualitymanagementkind AS qualitymanagementkind,
d.pidsystems AS pidsystems,
array_to_string(array_agg(distinct dps.scheme), ' ') AS pidsystems,
d.certificates AS certificates,
ARRAY[]::text[] AS policies,
dc.id AS collectedfromid,
dc.officialname AS collectedfromname,
d.typology||'@@@dnet:datasource_typologies' AS datasourcetype,
d.typology||'@@@dnet:datasource_typologies_ui' AS datasourcetypeui,
'sysimport:crosswalk:entityregistry@@@dnet:provenance_actions' AS provenanceaction,
array_remove(
array(
select distinct cf
from unnest(
dc.id||'@@@'||dc.officialname || array_agg(distinct dds_cf.id||'@@@'||dds_cf.officialname)
) as cf),
NULL) AS collectedfrom,
d._typology_to_remove_||'@@@dnet:datasource_typologies' AS datasourcetype,
d._typology_to_remove_||'@@@dnet:datasource_typologies_ui' AS datasourcetypeui,
d.eosc_type||'@@@dnet:eosc_types' AS eosctype,
d.eosc_datasource_type||'@@@dnet:eosc_datasource_types' AS eoscdatasourcetype,
d.issn AS issnPrinted,
d.eissn AS issnOnline,
d.lissn AS issnLinking,
d.research_entity_types AS researchentitytypes,
d.consenttermsofuse AS consenttermsofuse,
d.fulltextdownload AS fulltextdownload,
d.consenttermsofusedate AS consenttermsofusedate,
de.jurisdiction||'@@@eosc:jurisdictions' AS jurisdiction,
de.thematic AS thematic,
de.knowledge_graph AS knowledgegraph,
array(select unnest(de.content_policies)||'@@@eosc:contentpolicies') AS contentpolicies
d.lastconsenttermsofusedate AS lastconsenttermsofusedate,
d.jurisdiction||'@@@eosc:jurisdictions' AS jurisdiction,
d.thematic AS thematic,
array(select unnest(d.content_policies)||'@@@eosc:contentpolicies') AS contentpolicies,
nullif(trim(d.submission_policy_url), '') AS submissionpolicyurl,
nullif(trim(d.preservation_policy_url), '') AS preservationpolicyurl,
array_remove(d.research_product_access_policies, '') AS researchproductaccesspolicies,
array_remove(d.research_product_metadata_access_policies, '') AS researchproductmetadataaccesspolicies
FROM dsm_datasources d
LEFT OUTER JOIN dsm_datasources_eosc de on (d.id = de.id)
LEFT OUTER JOIN dsm_datasources dc on (d.collectedfrom = dc.id)
LEFT OUTER JOIN dsm_api a ON (d.id = a.datasource)
LEFT OUTER JOIN dsm_datasourcepids di ON (d.id = di.datasource)
FROM dsm_services d
LEFT OUTER JOIN dsm_services dc on (d.collectedfrom = dc.id)
LEFT OUTER JOIN dsm_api a ON (d.id = a.service)
LEFT OUTER JOIN dsm_servicepids dp ON (d.id = dp.service)
LEFT OUTER JOIN dsm_identities di ON (dp.pid = di.pid)
LEFT OUTER JOIN dsm_dedup_services dds ON (d.id = dds.id)
LEFT OUTER JOIN dsm_services dds_dup ON (dds.duplicate = dds_dup.id)
LEFT OUTER JOIN dsm_services dds_cf ON (dds_dup.collectedfrom = dds_cf.id)
LEFT OUTER JOIN dsm_pid_systems dps ON (d.id = dps.service)
WHERE
d.dedup_main_service = true
GROUP BY
d.id,
@ -119,23 +144,27 @@ GROUP BY
d.releasestartdate,
d.releaseenddate,
d.missionstatementurl,
d.dataprovider,
d.serviceprovider,
-- TODO REMOVED ???: d.dataprovider,
-- TODO REMOVED ???: d.serviceprovider,
d.databaseaccesstype,
d.datauploadtype,
d.databaseaccessrestriction,
d.datauploadrestriction,
d.versioning,
-- REPLACED BY version_control : d.versioning,
d.version_control,
d.citationguidelineurl,
d.qualitymanagementkind,
d.pidsystems,
-- REMOVED: d.qualitymanagementkind,
d.certificates,
dc.id,
dc.officialname,
d.issn,
d.eissn,
d.lissn,
de.jurisdiction,
de.thematic,
de.knowledge_graph,
de.content_policies
d.jurisdiction,
d.thematic,
-- REMOVED ???: de.knowledge_graph,
d.content_policies,
d.submission_policy_url,
d.preservation_policy_url,
d.research_product_access_policies,
d.research_product_metadata_access_policies

View File

@ -7,6 +7,7 @@ import org.apache.commons.io.IOUtils
import org.apache.spark.SparkConf
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
import org.slf4j.{Logger, LoggerFactory}
import scala.collection.JavaConverters._
object SparkConvertRDDtoDataset {
@ -94,8 +95,8 @@ object SparkConvertRDDtoDataset {
log.info("Converting Relation")
val relationSemanticFilter = List(
"cites",
"iscitedby",
// "cites",
// "iscitedby",
"merges",
"ismergedin",
"HasAmongTopNSimilarDocuments",
@ -107,6 +108,12 @@ object SparkConvertRDDtoDataset {
.map(s => mapper.readValue(s, classOf[Relation]))
.filter(r => r.getDataInfo != null && r.getDataInfo.getDeletedbyinference == false)
.filter(r => r.getSource.startsWith("50") && r.getTarget.startsWith("50"))
//filter OpenCitations relations
.filter(r =>
r.getCollectedfrom != null && r.getCollectedfrom.size() > 0 && !r.getCollectedfrom.asScala.exists(k =>
"opencitations".equalsIgnoreCase(k.getValue)
)
)
.filter(r => !relationSemanticFilter.exists(k => k.equalsIgnoreCase(r.getRelClass)))
spark.createDataset(rddRelation).as[Relation].write.mode(SaveMode.Overwrite).save(s"$relPath")

View File

@ -1,136 +0,0 @@
package eu.dnetlib.dhp.sx.graph.pangaea
import org.apache.spark.sql.expressions.Aggregator
import org.apache.spark.sql.{Encoder, Encoders}
import org.json4s
import org.json4s.DefaultFormats
import org.json4s.jackson.JsonMethods.parse
import java.util.regex.Pattern
import scala.language.postfixOps
import scala.xml.{Elem, Node, XML}
case class PangaeaDataModel(
identifier: String,
title: List[String],
objectType: List[String],
creator: List[String],
publisher: List[String],
dataCenter: List[String],
subject: List[String],
language: String,
rights: String,
parent: String,
relation: List[String],
linkage: List[(String, String)]
) {}
object PangaeaUtils {
def toDataset(input: String): PangaeaDataModel = {
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
lazy val json: json4s.JValue = parse(input)
val xml = (json \ "xml").extract[String]
parseXml(xml)
}
def findDOIInRelation(input: List[String]): List[String] = {
val pattern = Pattern.compile("\\b(10[.][0-9]{4,}(?:[.][0-9]+)*\\/(?:(?![\"&\\'<>])\\S)+)\\b")
input
.map(i => {
val matcher = pattern.matcher(i)
if (matcher.find())
matcher.group(0)
else
null
})
.filter(i => i != null)
}
def attributeOpt(attribute: String, node: Node): Option[String] =
node.attribute(attribute) flatMap (_.headOption) map (_.text)
def extractLinkage(node: Elem): List[(String, String)] = {
(node \ "linkage")
.map(n => (attributeOpt("type", n), n.text))
.filter(t => t._1.isDefined)
.map(t => (t._1.get, t._2))(collection.breakOut)
}
def parseXml(input: String): PangaeaDataModel = {
val xml = XML.loadString(input)
val identifier = (xml \ "identifier").text
val title: List[String] = (xml \ "title").map(n => n.text)(collection.breakOut)
val pType: List[String] = (xml \ "type").map(n => n.text)(collection.breakOut)
val creators: List[String] = (xml \ "creator").map(n => n.text)(collection.breakOut)
val publisher: List[String] = (xml \ "publisher").map(n => n.text)(collection.breakOut)
val dataCenter: List[String] = (xml \ "dataCenter").map(n => n.text)(collection.breakOut)
val subject: List[String] = (xml \ "subject").map(n => n.text)(collection.breakOut)
val language = (xml \ "language").text
val rights = (xml \ "rights").text
val parentIdentifier = (xml \ "parentIdentifier").text
val relation: List[String] = (xml \ "relation").map(n => n.text)(collection.breakOut)
val relationFiltered = findDOIInRelation(relation)
val linkage: List[(String, String)] = extractLinkage(xml)
PangaeaDataModel(
identifier,
title,
pType,
creators,
publisher,
dataCenter,
subject,
language,
rights,
parentIdentifier,
relationFiltered,
linkage
)
}
def getDatasetAggregator(): Aggregator[(String, PangaeaDataModel), PangaeaDataModel, PangaeaDataModel] =
new Aggregator[(String, PangaeaDataModel), PangaeaDataModel, PangaeaDataModel] {
override def zero: PangaeaDataModel = null
override def reduce(b: PangaeaDataModel, a: (String, PangaeaDataModel)): PangaeaDataModel = {
if (b == null)
a._2
else {
if (a == null)
b
else {
if (b.title != null && b.title.nonEmpty)
b
else
a._2
}
}
}
override def merge(b1: PangaeaDataModel, b2: PangaeaDataModel): PangaeaDataModel = {
if (b1 == null)
b2
else {
if (b2 == null)
b1
else {
if (b1.title != null && b1.title.nonEmpty)
b1
else
b2
}
}
}
override def finish(reduction: PangaeaDataModel): PangaeaDataModel = reduction
override def bufferEncoder: Encoder[PangaeaDataModel] = Encoders.kryo[PangaeaDataModel]
override def outputEncoder: Encoder[PangaeaDataModel] = Encoders.kryo[PangaeaDataModel]
}
}

View File

@ -1,58 +0,0 @@
package eu.dnetlib.dhp.sx.graph.pangaea
import eu.dnetlib.dhp.application.ArgumentApplicationParser
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
import org.apache.spark.{SparkConf, SparkContext}
import org.slf4j.{Logger, LoggerFactory}
import scala.collection.JavaConverters._
import scala.io.Source
object SparkGeneratePanagaeaDataset {
def main(args: Array[String]): Unit = {
val logger: Logger = LoggerFactory.getLogger(getClass)
val conf: SparkConf = new SparkConf()
val parser = new ArgumentApplicationParser(
Source
.fromInputStream(
getClass.getResourceAsStream("/eu/dnetlib/dhp/sx/pangaea/pangaea_to_dataset.json")
)
.mkString
)
parser.parseArgument(args)
val spark: SparkSession =
SparkSession
.builder()
.config(conf)
.appName(SparkGeneratePanagaeaDataset.getClass.getSimpleName)
.master(parser.get("master"))
.getOrCreate()
parser.getObjectMap.asScala.foreach(s => logger.info(s"${s._1} -> ${s._2}"))
logger.info("Converting sequential file into Dataset")
val sc: SparkContext = spark.sparkContext
val workingPath: String = parser.get("workingPath")
implicit val pangaeaEncoders: Encoder[PangaeaDataModel] = Encoders.kryo[PangaeaDataModel]
val inputRDD: RDD[PangaeaDataModel] =
sc.textFile(s"$workingPath/update").map(s => PangaeaUtils.toDataset(s))
spark
.createDataset(inputRDD)
.as[PangaeaDataModel]
.map(s => (s.identifier, s))(Encoders.tuple(Encoders.STRING, pangaeaEncoders))
.groupByKey(_._1)(Encoders.STRING)
.agg(PangaeaUtils.getDatasetAggregator().toColumn)
.map(s => s._2)
.write
.mode(SaveMode.Overwrite)
.save(s"$workingPath/dataset")
}
}

View File

@ -0,0 +1,300 @@
package eu.dnetlib.dhp.oa.graph.clean;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.Locale;
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.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.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.core.JsonProcessingException;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.oa.graph.dump.Constants;
import eu.dnetlib.dhp.oa.graph.dump.DumpJobTest;
import eu.dnetlib.dhp.oa.graph.dump.DumpProducts;
import eu.dnetlib.dhp.oa.graph.dump.community.CommunityMap;
import eu.dnetlib.dhp.schema.common.ModelConstants;
import eu.dnetlib.dhp.schema.dump.oaf.Instance;
import eu.dnetlib.dhp.schema.dump.oaf.OpenAccessRoute;
import eu.dnetlib.dhp.schema.dump.oaf.graph.GraphResult;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Software;
import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
public class CleanContextTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory.getLogger(CleanContextTest.class);
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files.createTempDirectory(DumpJobTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(DumpJobTest.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(DumpJobTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
public void testResultClean() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/clean/publication_clean_context.json")
.getPath();
final String prefix = "gcube ";
spark
.read()
.textFile(sourcePath)
.map(
(MapFunction<String, Publication>) r -> OBJECT_MAPPER.readValue(r, Publication.class),
Encoders.bean(Publication.class))
.write()
.json(workingDir.toString() + "/publication");
CleanContextSparkJob.main(new String[] {
"--isSparkSessionManaged", Boolean.FALSE.toString(),
"--inputPath", workingDir.toString() + "/publication",
"-graphTableClassName", Publication.class.getCanonicalName(),
"-workingPath", workingDir.toString() + "/working",
"-contextId", "sobigdata",
"-verifyParam", "gCube "
});
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(7, tmp.count());
// original result with sobigdata context and gcube as starting string in the main title for the publication
Assertions
.assertEquals(
0,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::0224aae28af558f21768dbc6439c7a95"))
.collect()
.get(0)
.getContext()
.size());
// original result with sobigdata context without gcube as starting string in the main title for the publication
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"sobigdata::projects::2",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::20c414a3b1c742d5dd3851f1b67df2d9"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
// original result with sobigdata context with gcube as starting string in the subtitle
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"sobigdata::projects::2",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
List<StructuredProperty> titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c81248c335f0aa07e06817ece6fa6af"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(1, titles.size());
Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix));
Assertions.assertEquals("subtitle", titles.get(0).getQualifier().getClassid());
// original result with sobigdata context with gcube not as starting string in the main title
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"sobigdata::projects::1",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::3c9f068ddc930360bec6925488a9a97f"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(1, titles.size());
Assertions.assertFalse(titles.get(0).getValue().toLowerCase().startsWith(prefix));
Assertions.assertTrue(titles.get(0).getValue().toLowerCase().contains(prefix.trim()));
Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
// original result with sobigdata in context and also other contexts with gcube as starting string for the main
// title
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"dh-ch",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4669a378a73661417182c208e6fdab53"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(1, titles.size());
Assertions.assertTrue(titles.get(0).getValue().toLowerCase().startsWith(prefix));
Assertions.assertEquals("main title", titles.get(0).getQualifier().getClassid());
// original result with multiple main title one of which whith gcube as starting string and with 2 contextes
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"dh-ch",
tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|DansKnawCris::4a9152e80f860eab99072e921d74a0ff"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(2, titles.size());
Assertions
.assertTrue(
titles
.stream()
.anyMatch(
t -> t.getQualifier().getClassid().equals("main title")
&& t.getValue().toLowerCase().startsWith(prefix)));
// original result without sobigdata in context with gcube as starting string for the main title
Assertions
.assertEquals(
1,
tmp
.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
.collect()
.get(0)
.getContext()
.size());
Assertions
.assertEquals(
"dh-ch",
tmp
.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
.collect()
.get(0)
.getContext()
.get(0)
.getId());
titles = tmp
.filter(p -> p.getId().equals("50|dedup_wf_001::01e6a28565ca01376b7548e530c6f6e8"))
.collect()
.get(0)
.getTitle();
Assertions.assertEquals(2, titles.size());
Assertions
.assertTrue(
titles
.stream()
.anyMatch(
t -> t.getQualifier().getClassid().equals("main title")
&& t.getValue().toLowerCase().startsWith(prefix)));
}
}

View File

@ -321,4 +321,27 @@ public class PrepareResultProjectJobTest {
3, resultExplodedProvenance.filter("provenance = 'sysimport:crosswalk:entityregistry'").count());
}
@Test
void testMatchx() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match")
.getPath();
SparkPrepareResultProject.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/preparedInfo",
"-sourcePath", sourcePath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<ResultProject> tmp = sc
.textFile(workingDir.toString() + "/preparedInfo")
.map(item -> OBJECT_MAPPER.readValue(item, ResultProject.class));
tmp.foreach(r -> System.out.println(OBJECT_MAPPER.writeValueAsString(r)));
}
}

View File

@ -22,6 +22,7 @@ import org.slf4j.LoggerFactory;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkResultLinkedToProject;
import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
import eu.dnetlib.dhp.schema.oaf.Publication;
import eu.dnetlib.dhp.schema.oaf.Result;
@ -76,7 +77,11 @@ public class ResultLinkedToProjectTest {
.getPath();
final String graphPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/nomatch")
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/preparedInfo")
.getPath();
final String communityMapPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/communityMapPath")
.getPath();
SparkResultLinkedToProject.main(new String[] {
@ -84,20 +89,18 @@ public class ResultLinkedToProjectTest {
"-outputPath", workingDir.toString() + "/preparedInfo",
"-sourcePath", sourcePath,
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication",
"-graphPath", graphPath
"-graphPath", graphPath,
"-communityMapPath", communityMapPath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Result> tmp = sc
JavaRDD<CommunityResult> tmp = sc
.textFile(workingDir.toString() + "/preparedInfo")
.map(item -> OBJECT_MAPPER.readValue(item, Result.class));
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
org.apache.spark.sql.Dataset<Result> verificationDataset = spark
.createDataset(tmp.rdd(), Encoders.bean(Result.class));
Assertions.assertEquals(0, verificationDataset.count());
Assertions.assertEquals(0, tmp.count());
}
@ -108,8 +111,12 @@ public class ResultLinkedToProjectTest {
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match/papers.json")
.getPath();
final String relationPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/match")
final String graphPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/preparedInfo")
.getPath();
final String communityMapPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/communityMapPath")
.getPath();
SparkResultLinkedToProject.main(new String[] {
@ -117,20 +124,18 @@ public class ResultLinkedToProjectTest {
"-outputPath", workingDir.toString() + "/preparedInfo",
"-sourcePath", sourcePath,
"-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication",
"-graphPath", relationPath
"-graphPath", graphPath,
"-communityMapPath", communityMapPath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Publication> tmp = sc
JavaRDD<CommunityResult> tmp = sc
.textFile(workingDir.toString() + "/preparedInfo")
.map(item -> OBJECT_MAPPER.readValue(item, Publication.class));
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
org.apache.spark.sql.Dataset<Publication> verificationDataset = spark
.createDataset(tmp.rdd(), Encoders.bean(Publication.class));
Assertions.assertEquals(1, verificationDataset.count());
Assertions.assertEquals(1, tmp.count());
}

View File

@ -5,10 +5,14 @@ import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
// import eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkDumpFunderResults2;
// import eu.dnetlib.dhp.oa.graph.dump.funderresults.SparkGetFunderList;
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.api.java.function.ForeachFunction;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Encoders;
import org.apache.spark.sql.SparkSession;
import org.junit.jupiter.api.AfterAll;
@ -68,20 +72,19 @@ public class SplitPerFunderTest {
void test1() throws Exception {
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/extendeddump")
.getResource("/eu/dnetlib/dhp/oa/graph/dump/funderresource/ext")
.getPath();
SparkDumpFunderResults.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/split",
"-sourcePath", sourcePath,
"-graphPath", sourcePath
"-sourcePath", sourcePath
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
// FP7 3
// FP7 3 and H2020 3
JavaRDD<CommunityResult> tmp = sc
.textFile(workingDir.toString() + "/split/EC_FP7")
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
@ -143,11 +146,6 @@ public class SplitPerFunderTest {
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
Assertions.assertEquals(1, tmp.count());
// CONICYT 0
tmp = sc
.textFile(workingDir.toString() + "/split/CONICYTF")
.map(item -> OBJECT_MAPPER.readValue(item, CommunityResult.class));
Assertions.assertEquals(0, tmp.count());
}
}

View File

@ -0,0 +1,158 @@
package eu.dnetlib.dhp.oa.graph.dump.projectssubset;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.HashMap;
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.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.oa.graph.dump.funderresults.SparkResultLinkedToProject;
import eu.dnetlib.dhp.schema.dump.oaf.community.CommunityResult;
import eu.dnetlib.dhp.schema.dump.oaf.graph.Project;
public class ProjectSubsetTest {
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private static SparkSession spark;
private static Path workingDir;
private static final Logger log = LoggerFactory
.getLogger(eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.class);
private static final HashMap<String, String> map = new HashMap<>();
@BeforeAll
public static void beforeAll() throws IOException {
workingDir = Files
.createTempDirectory(
eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.class.getSimpleName());
log.info("using work dir {}", workingDir);
SparkConf conf = new SparkConf();
conf.setAppName(eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.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(eu.dnetlib.dhp.oa.graph.dump.projectssubset.ProjectSubsetTest.class.getSimpleName())
.config(conf)
.getOrCreate();
}
@AfterAll
public static void afterAll() throws IOException {
FileUtils.deleteDirectory(workingDir.toFile());
spark.stop();
}
@Test
void testAllNew() throws Exception {
final String projectListPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/projectId")
.getPath();
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/allnew/projects")
.getPath();
spark
.read()
.textFile(projectListPath)
.write()
.mode(SaveMode.Overwrite)
.text(workingDir.toString() + "/projectIds");
ProjectsSubsetSparkJob.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/projects",
"-sourcePath", sourcePath,
"-projectListPath", workingDir.toString() + "/projectIds"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Project> tmp = sc
.textFile(workingDir.toString() + "/projects")
.map(item -> OBJECT_MAPPER.readValue(item, Project.class));
Assertions.assertEquals(12, tmp.count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("aka_________")).count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("anr_________")).count());
Assertions.assertEquals(4, tmp.filter(p -> p.getId().substring(3, 15).equals("arc_________")).count());
Assertions.assertEquals(3, tmp.filter(p -> p.getId().substring(3, 15).equals("conicytf____")).count());
Assertions.assertEquals(1, tmp.filter(p -> p.getId().substring(3, 15).equals("corda_______")).count());
Assertions.assertEquals(40, sc.textFile(workingDir.toString() + "/projectIds").count());
}
@Test
void testMatchOne() throws Exception {
final String projectListPath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/projectId")
.getPath();
final String sourcePath = getClass()
.getResource("/eu/dnetlib/dhp/oa/graph/dump/projectsubset/matchOne/projects")
.getPath();
spark
.read()
.textFile(projectListPath)
.write()
.mode(SaveMode.Overwrite)
.text(workingDir.toString() + "/projectIds");
ProjectsSubsetSparkJob.main(new String[] {
"-isSparkSessionManaged", Boolean.FALSE.toString(),
"-outputPath", workingDir.toString() + "/projects",
"-sourcePath", sourcePath,
"-projectListPath", workingDir.toString() + "/projectIds"
});
final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext());
JavaRDD<Project> tmp = sc
.textFile(workingDir.toString() + "/projects")
.map(item -> OBJECT_MAPPER.readValue(item, Project.class));
Assertions.assertEquals(11, tmp.count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("aka_________")).count());
Assertions.assertEquals(2, tmp.filter(p -> p.getId().substring(3, 15).equals("anr_________")).count());
Assertions.assertEquals(4, tmp.filter(p -> p.getId().substring(3, 15).equals("arc_________")).count());
Assertions.assertEquals(3, tmp.filter(p -> p.getId().substring(3, 15).equals("conicytf____")).count());
Assertions.assertEquals(0, tmp.filter(p -> p.getId().substring(3, 15).equals("corda__h2020")).count());
Assertions.assertEquals(39, sc.textFile(workingDir.toString() + "/projectIds").count());
}
}

View File

@ -2,6 +2,7 @@
package eu.dnetlib.dhp.oa.graph.merge;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotNull;
import java.io.IOException;
import java.util.Optional;
@ -25,7 +26,23 @@ class MergeGraphTableSparkJobTest {
}
@Test
void testMergeDatasources() throws IOException {
void testMerge() throws IOException {
Datasource d = MergeGraphTableSparkJob
.mergeDatasource(
d("datasource_cris.json"),
d("datasource_openaire2.0.json"));
assertEquals("10|274269ac6f3b::2a2e2793b500f3f7b47ef24b1a9277b7", d.getId());
assertNotNull(d.getOriginalId());
assertEquals(2, d.getOriginalId().size());
assertNotNull(d.getCollectedfrom());
assertEquals(2, d.getCollectedfrom().size());
assertNotNull(d.getPid());
assertEquals(1, d.getPid().size());
}
@Test
void testMergeCompatibility() throws IOException {
assertEquals(
"openaire-cris_1.1",
MergeGraphTableSparkJob

View File

@ -12,8 +12,11 @@ import java.sql.Array;
import java.sql.Date;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.HashSet;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.stream.Collectors;
import org.apache.commons.io.IOUtils;
import org.apache.commons.lang3.StringUtils;
@ -28,12 +31,7 @@ import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
import eu.dnetlib.dhp.schema.oaf.Datasource;
import eu.dnetlib.dhp.schema.oaf.Oaf;
import eu.dnetlib.dhp.schema.oaf.Organization;
import eu.dnetlib.dhp.schema.oaf.Project;
import eu.dnetlib.dhp.schema.oaf.Relation;
import eu.dnetlib.dhp.schema.oaf.Result;
import eu.dnetlib.dhp.schema.oaf.*;
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
@ExtendWith(MockitoExtension.class)
@ -63,22 +61,32 @@ public class MigrateDbEntitiesApplicationTest {
}
@Test
public void testProcessDatasource() throws Exception {
final List<TypedField> fields = prepareMocks("datasources_resultset_entry.json");
public void testProcessService() throws Exception {
final List<TypedField> fields = prepareMocks("services_resultset_entry.json");
final List<Oaf> list = app.processDatasource(rs);
final List<Oaf> list = app.processService(rs);
assertEquals(1, list.size());
verifyMocks(fields);
final Datasource ds = (Datasource) list.get(0);
assertValidId(ds.getId());
assertValidId(ds.getCollectedfrom().get(0).getKey());
ds
.getCollectedfrom()
.stream()
.map(KeyValue::getKey)
.forEach(dsId -> assertValidId(dsId));
assertEquals(1, ds.getPid().size());
assertEquals("r3d100010218", ds.getPid().get(0).getValue());
assertEquals("re3data", ds.getPid().get(0).getQualifier().getClassid());
assertEquals("dnet:pid_types", ds.getPid().get(0).getQualifier().getSchemeid());
assertEquals(getValueAsString("officialname", fields), ds.getOfficialname().getValue());
assertEquals(getValueAsString("englishname", fields), ds.getEnglishname().getValue());
assertEquals(getValueAsString("contactemail", fields), ds.getContactemail().getValue());
assertEquals(getValueAsString("websiteurl", fields), ds.getWebsiteurl().getValue());
assertEquals(getValueAsString("logourl", fields), ds.getLogourl());
assertEquals(getValueAsString("contactemail", fields), ds.getContactemail().getValue());
assertEquals(getValueAsString("namespaceprefix", fields), ds.getNamespaceprefix().getValue());
assertEquals(getValueAsString("collectedfromname", fields), ds.getCollectedfrom().get(0).getValue());
assertEquals(getValueAsString("officialname", fields), ds.getJournal().getName());
assertEquals(getValueAsString("issnPrinted", fields), ds.getJournal().getIssnPrinted());
assertEquals(getValueAsString("issnOnline", fields), ds.getJournal().getIssnOnline());
@ -90,19 +98,98 @@ public class MigrateDbEntitiesApplicationTest {
assertEquals("pubsrepository::journal", ds.getDatasourcetypeui().getClassid());
assertEquals("dnet:datasource_typologies_ui", ds.getDatasourcetypeui().getSchemeid());
assertEquals("Data Source", ds.getEosctype().getClassid());
assertEquals("Data Source", ds.getEosctype().getClassname());
assertEquals("dnet:eosc_types", ds.getEosctype().getSchemeid());
assertEquals("dnet:eosc_types", ds.getEosctype().getSchemename());
assertEquals("Journal archive", ds.getEoscdatasourcetype().getClassid());
assertEquals("Journal archive", ds.getEoscdatasourcetype().getClassname());
assertEquals("dnet:eosc_datasource_types", ds.getEoscdatasourcetype().getSchemeid());
assertEquals("dnet:eosc_datasource_types", ds.getEoscdatasourcetype().getSchemename());
assertEquals("openaire4.0", ds.getOpenairecompatibility().getClassid());
assertEquals("openaire4.0", ds.getOpenairecompatibility().getClassname());
assertEquals("dnet:datasourceCompatibilityLevel", ds.getOpenairecompatibility().getSchemeid());
assertEquals("dnet:datasourceCompatibilityLevel", ds.getOpenairecompatibility().getSchemename());
assertEquals(getValueAsDouble("latitude", fields).toString(), ds.getLatitude().getValue());
assertEquals(getValueAsDouble("longitude", fields).toString(), ds.getLongitude().getValue());
assertEquals(getValueAsString("dateofvalidation", fields), ds.getDateofvalidation());
assertEquals(getValueAsString("description", fields), ds.getDescription().getValue());
// TODO assertEquals(getValueAsString("subjects", fields), ds.getSubjects());
assertEquals("0.0", ds.getOdnumberofitems().getValue());
assertEquals(getValueAsString("odnumberofitemsdate", fields), ds.getOdnumberofitemsdate());
assertEquals(getValueAsString("odpolicies", fields), ds.getOdpolicies());
assertEquals(
getValueAsList("odlanguages", fields),
ds.getOdlanguages().stream().map(Field::getValue).collect(Collectors.toList()));
assertEquals(getValueAsList("languages", fields), ds.getLanguages());
assertEquals(
getValueAsList("accessinfopackage", fields),
ds.getAccessinfopackage().stream().map(Field::getValue).collect(Collectors.toList()));
assertEquals(getValueAsString("releasestartdate", fields), ds.getReleasestartdate());
assertEquals(getValueAsString("releaseenddate", fields), ds.getReleasestartdate());
assertEquals(getValueAsString("missionstatementurl", fields), ds.getMissionstatementurl());
assertEquals(null, ds.getDataprovider());
assertEquals(null, ds.getServiceprovider());
assertEquals(getValueAsString("databaseaccesstype", fields), ds.getDatabaseaccesstype());
assertEquals(getValueAsString("datauploadtype", fields), ds.getDatauploadtype());
assertEquals(getValueAsString("databaseaccessrestriction", fields), ds.getDatabaseaccessrestriction());
assertEquals(getValueAsString("datauploadrestriction", fields), ds.getDatauploadrestriction());
assertEquals(false, ds.getVersioning().getValue());
assertEquals(false, ds.getVersioncontrol());
assertEquals(getValueAsString("citationguidelineurl", fields), ds.getCitationguidelineurl());
assertEquals(getValueAsString("pidsystems", fields), ds.getPidsystems());
assertEquals(getValueAsString("certificates", fields), ds.getCertificates());
assertEquals(getValueAsList("researchentitytypes", fields), ds.getResearchentitytypes());
assertEquals("National", ds.getJurisdiction().getClassid());
assertEquals("eosc:jurisdictions", ds.getJurisdiction().getSchemeid());
assertTrue(ds.getThematic());
assertTrue(ds.getKnowledgegraph());
assertEquals(1, ds.getContentpolicies().size());
assertEquals("Journal article", ds.getContentpolicies().get(0).getClassid());
assertEquals("eosc:contentpolicies", ds.getContentpolicies().get(0).getSchemeid());
HashSet<String> cpSchemeId = ds
.getContentpolicies()
.stream()
.map(Qualifier::getSchemeid)
.collect(Collectors.toCollection(HashSet::new));
assertTrue(cpSchemeId.size() == 1);
assertTrue(cpSchemeId.contains("eosc:contentpolicies"));
HashSet<String> cpSchemeName = ds
.getContentpolicies()
.stream()
.map(Qualifier::getSchemename)
.collect(Collectors.toCollection(HashSet::new));
assertTrue(cpSchemeName.size() == 1);
assertTrue(cpSchemeName.contains("eosc:contentpolicies"));
assertEquals(2, ds.getContentpolicies().size());
assertEquals("Taxonomic classification", ds.getContentpolicies().get(0).getClassid());
assertEquals("Resource collection", ds.getContentpolicies().get(1).getClassid());
assertEquals(getValueAsString("submissionpolicyurl", fields), ds.getSubmissionpolicyurl());
assertEquals(getValueAsString("preservationpolicyurl", fields), ds.getPreservationpolicyurl());
assertEquals(
getValueAsList("researchproductaccesspolicies", fields),
ds.getResearchproductaccesspolicies());
assertEquals(
getValueAsList("researchproductmetadataaccesspolicies", fields),
ds.getResearchproductmetadataaccesspolicies());
assertEquals(true, ds.getConsenttermsofuse());
assertEquals(true, ds.getFulltextdownload());
assertEquals("2022-03-11", ds.getConsenttermsofusedate());
assertEquals("2022-03-11", ds.getLastconsenttermsofusedate());
}
@Test
@ -154,7 +241,7 @@ public class MigrateDbEntitiesApplicationTest {
public void testProcessDatasourceOrganization() throws Exception {
final List<TypedField> fields = prepareMocks("datasourceorganization_resultset_entry.json");
final List<Oaf> list = app.processDatasourceOrganization(rs);
final List<Oaf> list = app.processServiceOrganization(rs);
assertEquals(2, list.size());
verifyMocks(fields);
@ -356,18 +443,31 @@ public class MigrateDbEntitiesApplicationTest {
}
private Float getValueAsFloat(final String name, final List<TypedField> fields) {
return new Float(getValueAs(name, fields).toString());
final Object value = getValueAs(name, fields);
return value != null ? new Float(value.toString()) : null;
}
private Double getValueAsDouble(final String name, final List<TypedField> fields) {
final Object value = getValueAs(name, fields);
return value != null ? new Double(value.toString()) : null;
}
private Integer getValueAsInt(final String name, final List<TypedField> fields) {
final Object value = getValueAs(name, fields);
return value != null ? new Integer(value.toString()) : null;
}
private <T> T getValueAs(final String name, final List<TypedField> fields) {
return fields
final Optional<T> field = fields
.stream()
.filter(f -> f.getField().equals(name))
.map(TypedField::getValue)
.filter(Objects::nonNull)
.map(o -> (T) o)
.findFirst()
.get();
.map(TypedField::getValue)
.map(o -> (T) o);
if (!field.isPresent()) {
return null;
}
return field.get();
}
private List<String> getValueAsList(final String name, final List<TypedField> fields) {

View File

@ -1,29 +0,0 @@
package eu.dnetlib.dhp.sx.pangaea
import eu.dnetlib.dhp.sx.graph.pangaea.PangaeaUtils
import org.junit.jupiter.api.Test
import java.util.TimeZone
import java.text.SimpleDateFormat
import java.util.Date
import scala.io.Source
class PangaeaTransformTest {
@Test
def test_dateStamp() :Unit ={
val d = new Date()
val s:String = s"${new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss.SSS")format d}Z"
println(s)
val xml = Source.fromInputStream(getClass.getResourceAsStream("input.xml")).mkString
println(PangaeaUtils.parseXml(xml))
}
}

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{"ee":"SDSN - Greece","epos":"EPOS","enrmaps":"Energy Research","fet-h2020":"FET H2020","instruct":"Instruct-Eric","egi":"EGI Federation","euromarine":"Euromarine","covid-19":"COVID-19","dariah":"DARIAH EU","rda":"Research Data Alliance","clarin":"CLARIN","aginfra":"Agricultural and Food Sciences","risis":"RISI","fam":"Fisheries and Aquaculture Management","beopen":"Transport Research","elixir-gr":"ELIXIR GR","fet-fp7":"FET FP7","ifremer":"Ifremer","science-innovation-policy":"Science and Innovation Policy Studies","mes":"European Marine Scinece","oa-pg":"EC Post-Grant Open Access Pilot","ni":"Neuroinformatics","dh-ch":"Digital Humanities and Cultural Heritage"}

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NSF
CIHR
NWO
NHMRC
NIH
MZOS
SNSF
EC

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{
"field": "websiteurl",
"type": "string",
@ -44,11 +67,14 @@
"value": null
},
{
"field": "accessinfopackage",
"type": "array",
"value": [
null
]
"field": "contactemail",
"type": "string",
"value": "test@test.it"
},
{
"field": "namespaceprefix",
"type": "string",
"value": "ojs_25795449"
},
{
"field": "latitude",
@ -61,9 +87,19 @@
"value": 0
},
{
"field": "namespaceprefix",
"field": "dateofvalidation",
"type": "date",
"value": null
},
{
"field": "description",
"type": "string",
"value": "ojs_25795449"
"value": "veterinary medicine"
},
{
"field": "subjects",
"type": "array",
"value": []
},
{
"field": "odnumberofitems",
@ -75,16 +111,6 @@
"type": "date",
"value": null
},
{
"field": "subjects",
"type": "array",
"value": null
},
{
"field": "description",
"type": "string",
"value": null
},
{
"field": "odpolicies",
"type": "string",
@ -93,44 +119,33 @@
{
"field": "odlanguages",
"type": "array",
"value": []
},
{
"field": "odcontenttypes",
"type": "array",
"value": [
"Journal articles"
"English",
"German",
"French",
"Danish",
"Norwegian",
"Swedish"
]
},
{
"field": "inferred",
"type": "boolean",
"value": false
"field": "languages",
"type": "array",
"value": [
"English",
"German",
"French",
"Danish",
"Norwegian",
"Swedish"
]
},
{
"field": "deletedbyinference",
"type": "boolean",
"value": false
},
{
"field": "trust",
"type": "double",
"value": 0.9
},
{
"field": "inferenceprovenance",
"type": "string",
"value": null
},
{
"field": "dateofcollection",
"type": "date",
"value": "2020-01-21"
},
{
"field": "dateofvalidation",
"type": "date",
"value": null
"field": "accessinfopackage",
"type": "array",
"value": [
"http://www.revista.vocesdelaeducacion.com.mx/index.php/index/oai"
]
},
{
"field": "releasestartdate",
@ -147,16 +162,6 @@
"type": "string",
"value": null
},
{
"field": "dataprovider",
"type": "boolean",
"value": null
},
{
"field": "serviceprovider",
"type": "boolean",
"value": null
},
{
"field": "databaseaccesstype",
"type": "string",
@ -183,12 +188,12 @@
"value": null
},
{
"field": "citationguidelineurl",
"type": "string",
"field": "versioncontrol",
"type": "boolean",
"value": null
},
{
"field": "qualitymanagementkind",
"field": "citationguidelineurl",
"type": "string",
"value": null
},
@ -208,29 +213,38 @@
"value": []
},
{
"field": "collectedfromid",
"type": "string",
"value": "openaire____::SnVybmFsIEZha3VsdGFzIFNhc3RyYSBVbml2ZXJzaXRhcyBFa2FzYWt0aQ=="
"field": "inferred",
"type": "boolean",
"value": false
},
{
"field": "collectedfromname",
"type": "string",
"value": "Jurnal Fakultas Sastra Universitas Ekasakti"
"field": "deletedbyinference",
"type": "boolean",
"value": false
},
{
"field": "datasourcetype",
"type": "string",
"value": "pubsrepository::journal@@@dnet:datasource_typologies"
"field": "trust",
"type": "double",
"value": 0.9
},
{
"field": "datasourcetypeui",
"field": "inferenceprovenance",
"type": "string",
"value": "pubsrepository::journal@@@dnet:datasource_typologies_ui"
"value": null
},
{
"field": "provenanceaction",
"type": "not_used",
"value": "sysimport:crosswalk:entityregistry@@@dnet:provenance_actions"
"field": "dateofcollection",
"type": "date",
"value": "2020-01-21"
},
{
"field": "collectedfrom",
"type": "array",
"value": [
"openaire____::fairsharing@@@FAIRsharing.org",
"openaire____::opendoar@@@OpenDOAR",
"openaire____::re3data@@@Registry of Research Data Repository"
]
},
{
"field": "issnPrinted",
@ -247,6 +261,13 @@
"type": "string",
"value": "2579-5447"
},
{
"field": "researchentitytypes",
"type": "array",
"value": [
"Research Data"
]
},
{
"field": "jurisdiction",
"type": "string",
@ -257,16 +278,36 @@
"type": "boolean",
"value": true
},
{
"field": "knowledgegraph",
"type": "boolean",
"value": true
},
{
"field": "contentpolicies",
"type": "array",
"value": [
"Journal article@@@eosc:contentpolicies"
"Taxonomic classification@@@eosc:contentpolicies",
"Resource collection@@@eosc:contentpolicies"
]
},
{
"field": "submissionpolicyurl",
"type": "string",
"value": null
},
{
"field": "preservationpolicyurl",
"type": "string",
"value": "Permanent Archiving https://datadryad.org/stash/faq"
},
{
"field": "researchproductaccesspolicies",
"type": "array",
"value": [
"https://100percentit.com/legal/"
]
},
{
"field": "researchproductmetadataaccesspolicies",
"type": "array",
"value": [
"https://wenmr.science.uu.nl/conditions"
]
},
{
@ -283,5 +324,10 @@
"field": "consenttermsofusedate",
"type": "date",
"value": "2022-03-11"
},
{
"field": "lastconsenttermsofusedate",
"type": "date",
"value": "2022-03-11"
}
]

View File

@ -535,6 +535,12 @@ public class XmlRecordFactory implements Serializable {
if (ds.getDatasourcetypeui() != null) {
metadata.add(XmlSerializationUtils.mapQualifier("datasourcetypeui", ds.getDatasourcetypeui()));
}
if (ds.getEosctype() != null) {
metadata.add(XmlSerializationUtils.mapQualifier("eosctype", ds.getEosctype()));
}
if (ds.getEoscdatasourcetype() != null) {
metadata.add(XmlSerializationUtils.mapQualifier("eoscdatasourcetype", ds.getEoscdatasourcetype()));
}
if (ds.getOpenairecompatibility() != null) {
metadata
.add(
@ -583,6 +589,16 @@ public class XmlRecordFactory implements Serializable {
metadata
.add(XmlSerializationUtils.asXmlElement("description", ds.getDescription().getValue()));
}
if (ds.getSubjects() != null) {
metadata
.addAll(
ds
.getSubjects()
.stream()
.filter(Objects::nonNull)
.map(sp -> XmlSerializationUtils.mapStructuredProperty("subjects", sp))
.collect(Collectors.toList()));
}
if (ds.getOdnumberofitems() != null) {
metadata
.add(
@ -609,6 +625,16 @@ public class XmlRecordFactory implements Serializable {
.map(c -> XmlSerializationUtils.asXmlElement("odlanguages", c.getValue()))
.collect(Collectors.toList()));
}
if (ds.getLanguages() != null) {
metadata
.addAll(
ds
.getLanguages()
.stream()
.filter(Objects::nonNull)
.map(c -> XmlSerializationUtils.asXmlElement("languages", c))
.collect(Collectors.toList()));
}
if (ds.getOdcontenttypes() != null) {
metadata
.addAll(
@ -689,18 +715,18 @@ public class XmlRecordFactory implements Serializable {
XmlSerializationUtils
.asXmlElement("versioning", ds.getVersioning().getValue().toString()));
}
if (ds.getVersioncontrol() != null) {
metadata
.add(
XmlSerializationUtils
.asXmlElement("versioncontrol", ds.getVersioncontrol().toString()));
}
if (ds.getCitationguidelineurl() != null) {
metadata
.add(
XmlSerializationUtils
.asXmlElement("citationguidelineurl", ds.getCitationguidelineurl().getValue()));
}
if (ds.getQualitymanagementkind() != null) {
metadata
.add(
XmlSerializationUtils
.asXmlElement("qualitymanagementkind", ds.getQualitymanagementkind().getValue()));
}
if (ds.getPidsystems() != null) {
metadata
.add(XmlSerializationUtils.asXmlElement("pidsystems", ds.getPidsystems().getValue()));
@ -722,17 +748,24 @@ public class XmlRecordFactory implements Serializable {
if (ds.getJournal() != null) {
metadata.add(XmlSerializationUtils.mapJournal(ds.getJournal()));
}
if (ds.getSubjects() != null) {
if (ds.getResearchentitytypes() != null) {
metadata
.addAll(
ds
.getSubjects()
.getResearchentitytypes()
.stream()
.filter(Objects::nonNull)
.map(sp -> XmlSerializationUtils.mapStructuredProperty("subjects", sp))
.map(c -> XmlSerializationUtils.asXmlElement("researchentitytypes", c))
.collect(Collectors.toList()));
}
if (ds.getProvidedproducttypes() != null) {
metadata
.addAll(
ds
.getProvidedproducttypes()
.stream()
.map(c -> XmlSerializationUtils.asXmlElement("providedproducttypes", c))
.collect(Collectors.toList()));
}
if (ds.getJurisdiction() != null) {
metadata.add(XmlSerializationUtils.mapQualifier("jurisdiction", ds.getJurisdiction()));
}
@ -741,11 +774,6 @@ public class XmlRecordFactory implements Serializable {
metadata.add(XmlSerializationUtils.asXmlElement("thematic", ds.getThematic().toString()));
}
if (ds.getKnowledgegraph() != null) {
metadata
.add(XmlSerializationUtils.asXmlElement("knowledgegraph", ds.getKnowledgegraph().toString()));
}
if (ds.getContentpolicies() != null) {
metadata
.addAll(
@ -756,7 +784,34 @@ public class XmlRecordFactory implements Serializable {
.map(q -> XmlSerializationUtils.mapQualifier("contentpolicy", q))
.collect(Collectors.toList()));
}
if (ds.getSubmissionpolicyurl() != null) {
metadata
.add(XmlSerializationUtils.asXmlElement("submissionpolicyurl", ds.getSubmissionpolicyurl()));
}
if (ds.getPreservationpolicyurl() != null) {
metadata
.add(
XmlSerializationUtils.asXmlElement("preservationpolicyurl", ds.getPreservationpolicyurl()));
}
if (ds.getResearchproductaccesspolicies() != null) {
metadata
.addAll(
ds
.getResearchproductaccesspolicies()
.stream()
.map(c -> XmlSerializationUtils.asXmlElement("researchproductaccesspolicies", c))
.collect(Collectors.toList()));
}
if (ds.getResearchproductmetadataaccesspolicies() != null) {
metadata
.addAll(
ds
.getResearchproductmetadataaccesspolicies()
.stream()
.map(
c -> XmlSerializationUtils.asXmlElement("researchproductmetadataaccesspolicies", c))
.collect(Collectors.toList()));
}
break;
case organization:
final Organization o = (Organization) entity;

View File

@ -41,7 +41,8 @@
}
},
"publicationDate": {
"type": "keyword"
"type": "date",
"format": "yyyy-MM-dd"
},
"relationship": {
"properties": {

View File

@ -11,6 +11,7 @@ import java.util.List;
import org.apache.commons.io.IOUtils;
import org.dom4j.Document;
import org.dom4j.DocumentException;
import org.dom4j.Element;
import org.dom4j.io.SAXReader;
import org.junit.jupiter.api.Test;
@ -142,7 +143,7 @@ public class XmlRecordFactoryTest {
}
@Test
public void testDatasource() throws IOException, DocumentException {
public void testService() throws IOException, DocumentException {
final ContextMapper contextMapper = new ContextMapper();
final XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false,
@ -167,6 +168,14 @@ public class XmlRecordFactoryTest {
assertEquals("true", doc.valueOf("//thematic"));
assertEquals("Journal article", doc.valueOf("//contentpolicy/@classname"));
assertEquals("Journal archive", doc.valueOf("//datasourcetypeui/@classname"));
assertEquals("Data Source", doc.valueOf("//eosctype/@classname"));
final List pids = doc.selectNodes("//pid");
assertEquals(1, pids.size());
assertEquals("re3data", ((Element) pids.get(0)).attribute("classid").getValue());
assertEquals(
"Registry of research data repositories", ((Element) pids.get(0)).attribute("classname").getValue());
assertEquals("dnet:pid_types", ((Element) pids.get(0)).attribute("schemeid").getValue());
assertEquals("dnet:pid_types", ((Element) pids.get(0)).attribute("schemename").getValue());
}
}

View File

@ -80,4 +80,34 @@ where reltype='resultResult'
and r2.datainfo.deletedbyinference=false and r2.datainfo.invisible = FALSE
and r1.resulttype.classname != 'other'
and r2.resulttype.classname != 'other'
and rel.datainfo.deletedbyinference=false and rel.datainfo.invisible = FALSE;
and rel.datainfo.deletedbyinference=false and rel.datainfo.invisible = FALSE;
create table ${stats_db_name}.result_citations_oc stored as parquet as
select substr(target, 4) as id, count(distinct substr(source, 4)) as citations
from ${openaire_db_name}.relation rel
join ${openaire_db_name}.result r1 on rel.source=r1.id
join ${openaire_db_name}.result r2 on r2.id=rel.target
where relClass='Cites' and rel.datainfo.provenanceaction.classid = 'sysimport:crosswalk:opencitations'
and reltype='resultResult'
and r1.resulttype.classname!=r2.resulttype.classname
and r1.datainfo.deletedbyinference=false and r1.datainfo.invisible = FALSE
and r2.datainfo.deletedbyinference=false and r2.datainfo.invisible = FALSE
and r1.resulttype.classname != 'other'
and r2.resulttype.classname != 'other'
and rel.datainfo.deletedbyinference=false and rel.datainfo.invisible = FALSE
group by substr(target, 4);
create table ${stats_db_name}.result_references_oc stored as parquet as
select substr(source, 4) as id, count(distinct substr(target, 4)) as references
from ${openaire_db_name}.relation rel
join ${openaire_db_name}.result r1 on rel.source=r1.id
join ${openaire_db_name}.result r2 on r2.id=rel.target
where relClass='Cites' and rel.datainfo.provenanceaction.classid = 'sysimport:crosswalk:opencitations'
and reltype='resultResult'
and r1.resulttype.classname!=r2.resulttype.classname
and r1.datainfo.deletedbyinference=false and r1.datainfo.invisible = FALSE
and r2.datainfo.deletedbyinference=false and r2.datainfo.invisible = FALSE
and r1.resulttype.classname != 'other'
and r2.resulttype.classname != 'other'
and rel.datainfo.deletedbyinference=false and rel.datainfo.invisible = FALSE
group by substr(source, 4);

View File

@ -12,6 +12,8 @@ and (ri.accessright = 'Open Access'
or ri.accessright = 'Embargo' or ri.accessright = 'Open Source')) tmp
on p.id= tmp.id;
compute stats indi_pub_green_oa;
create table indi_pub_grey_lit stored as parquet as
select distinct p.id, coalesce(grey_lit, 0) as grey_lit
from publication p
@ -22,6 +24,8 @@ join result_classifications rt on rt.id = p.id
where rt.type not in ('Article','Part of book or chapter of book','Book','Doctoral thesis','Master thesis','Data Paper', 'Thesis', 'Bachelor thesis', 'Conference object') and
not exists (select 1 from result_classifications rc where type ='Other literature type' and rc.id=p.id)) tmp on p.id=tmp.id;
compute stats indi_pub_grey_lit;
create table indi_pub_doi_from_crossref stored as parquet as
select distinct p.id, coalesce(doi_from_crossref, 0) as doi_from_crossref
from publication p
@ -31,6 +35,7 @@ join datasource d on d.id = ri.collectedfrom
where pidtype='Digital Object Identifier' and d.name ='Crossref') tmp
on tmp.id=p.id;
compute stats indi_pub_doi_from_crossref;
---- Sprint 2 ----
create table indi_result_has_cc_licence stored as parquet as
select distinct r.id, (case when lic='' or lic is null then 0 else 1 end) as has_cc_license
@ -40,6 +45,8 @@ join result_licenses as license on license.id = r.id
where lower(license.type) LIKE '%creativecommons.org%' OR lower(license.type) LIKE '%cc-%') tmp
on r.id= tmp.id;
compute stats indi_result_has_cc_licence;
create table indi_result_has_cc_licence_url stored as parquet as
select distinct r.id, case when lic_host='' or lic_host is null then 0 else 1 end as has_cc_license_url
from result r
@ -49,16 +56,21 @@ join result_licenses as license on license.id = r.id
WHERE lower(parse_url(license.type, "HOST")) = "creativecommons.org") tmp
on r.id= tmp.id;
compute stats indi_result_has_cc_licence_url;
create table indi_pub_has_abstract stored as parquet as
select distinct publication.id, coalesce(abstract, 1) has_abstract
from publication;
compute stats indi_pub_has_abstract;
create table indi_result_with_orcid stored as parquet as
select distinct r.id, coalesce(has_orcid, 0) as has_orcid
from result r
left outer join (select id, 1 as has_orcid from result_orcid) tmp
on r.id= tmp.id;
compute stats indi_result_with_orcid;
---- Sprint 3 ----
create table indi_funded_result_with_fundref stored as parquet as
@ -68,27 +80,33 @@ left outer join (select distinct id, 1 as fundref from project_results
where provenance='Harvested') tmp
on r.id= tmp.id;
create table indi_result_org_country_collab stored as parquet as
with tmp as
(select o.id as id, o.country , ro.id as result,r.type from organization o
join result_organization ro on o.id=ro.organization
join result r on r.id=ro.id where o.country <> 'UNKNOWN')
select o1.id org1,o2.country country2, o1.type, count(distinct o1.result) as collaborations
from tmp as o1
join tmp as o2 on o1.result=o2.result
where o1.id<>o2.id and o1.country<>o2.country
group by o1.id, o1.type,o2.country;
compute stats indi_funded_result_with_fundref;
create table indi_result_org_collab stored as parquet as
with tmp as
(select o.id, ro.id as result,r.type from organization o
join result_organization ro on o.id=ro.organization
join result r on r.id=ro.id)
select o1.id org1,o2.id org2, o1.type, count(distinct o1.result) as collaborations
from tmp as o1
join tmp as o2 on o1.result=o2.result
where o1.id<>o2.id
group by o1.id, o2.id, o1.type;
-- create table indi_result_org_country_collab stored as parquet as
-- with tmp as
-- (select o.id as id, o.country , ro.id as result,r.type from organization o
-- join result_organization ro on o.id=ro.organization
-- join result r on r.id=ro.id where o.country <> 'UNKNOWN')
-- select o1.id org1,o2.country country2, o1.type, count(distinct o1.result) as collaborations
-- from tmp as o1
-- join tmp as o2 on o1.result=o2.result
-- where o1.id<>o2.id and o1.country<>o2.country
-- group by o1.id, o1.type,o2.country;
--
-- compute stats indi_result_org_country_collab;
-- create table indi_result_org_collab stored as parquet as
-- with tmp as
-- (select o.id, ro.id as result,r.type from organization o
-- join result_organization ro on o.id=ro.organization
-- join result r on r.id=ro.id)
-- select o1.id org1,o2.id org2, o1.type, count(distinct o1.result) as collaborations
-- from tmp as o1
-- join tmp as o2 on o1.result=o2.result
-- where o1.id<>o2.id
-- group by o1.id, o2.id, o1.type;
--
-- compute stats indi_result_org_collab;
create table indi_funder_country_collab stored as parquet as
with tmp as (select funder, project, country from organization_projects op
@ -101,6 +119,8 @@ join tmp as f2 on f1.project=f2.project
where f1.country<>f2.country
group by f1.funder, f2.country, f1.country;
compute stats indi_funder_country_collab;
create table indi_result_country_collab stored as parquet as
with tmp as
(select country, ro.id as result,r.type from organization o
@ -112,6 +132,8 @@ join tmp as o2 on o1.result=o2.result
where o1.country<>o2.country
group by o1.country, o2.country, o1.type;
compute stats indi_result_country_collab;
---- Sprint 4 ----
create table indi_pub_diamond stored as parquet as
select distinct pd.id, coalesce(in_diamond_journal, 0) as in_diamond_journal
@ -123,6 +145,8 @@ join stats_ext.plan_s_jn ps where (ps.issn_print=d.issn_printed and ps.issn_onli
and (ps.journal_is_in_doaj=true or ps.journal_is_oa=true) and ps.has_apc=false) tmp
on pd.id=tmp.id;
compute stats indi_pub_diamond;
create table indi_pub_hybrid stored as parquet as
select distinct pd.id, coalesce(is_hybrid, 0) as is_hybrid
from publication_datasources pd
@ -133,6 +157,8 @@ join stats_ext.plan_s_jn ps where (ps.issn_print=d.issn_printed and ps.issn_onli
and (ps.journal_is_in_doaj=false and ps.journal_is_oa=false)) tmp
on pd.id=tmp.id;
compute stats indi_pub_hybrid;
create table indi_pub_in_transformative stored as parquet as
select distinct pd.id, coalesce(is_transformative, 0) as is_transformative
from publication pd
@ -143,6 +169,8 @@ join stats_ext.plan_s_jn ps where (ps.issn_print=d.issn_printed and ps.issn_onli
and ps.is_transformative_journal=true) tmp
on pd.id=tmp.id;
compute stats indi_pub_in_transformative;
create table indi_pub_closed_other_open stored as parquet as
select distinct ri.id, coalesce(pub_closed_other_open, 0) as pub_closed_other_open from result_instance ri
left outer join
@ -153,11 +181,12 @@ where d.type like '%Journal%' and ri.accessright='Closed Access' and
(p.bestlicence='Open Access' or p.bestlicence='Open Source')) tmp
on tmp.id=ri.id;
compute stats indi_pub_closed_other_open;
---- Sprint 5 ----
create table indi_result_no_of_copies stored as parquet as
select id, count(id) as number_of_copies from result_instance group by id;
compute stats indi_result_no_of_copies;
---- Sprint 6 ----
create table indi_pub_gold_oa stored as parquet as
WITH gold_oa AS (
@ -183,6 +212,8 @@ LEFT OUTER JOIN (
JOIN issn on issn.id=pd.datasource
JOIN gold_oa on issn.issn = gold_oa.issn) tmp ON pd.id=tmp.id;
compute stats indi_pub_gold_oa;
create table indi_datasets_gold_oa stored as parquet as
WITH gold_oa AS (
SELECT issn_l, journal_is_in_doaj, journal_is_oa, issn_1 as issn
@ -210,6 +241,8 @@ LEFT OUTER JOIN (
JOIN issn on issn.id=pd.datasource
JOIN gold_oa on issn.issn = gold_oa.issn) tmp ON pd.id=tmp.id;
compute stats indi_datasets_gold_oa;
create table indi_software_gold_oa stored as parquet as
WITH gold_oa AS (
SELECT issn_l, journal_is_in_doaj, journal_is_oa, issn_1 as issn
@ -237,6 +270,8 @@ LEFT OUTER JOIN (
JOIN issn on issn.id=pd.datasource
JOIN gold_oa on issn.issn = gold_oa.issn) tmp ON pd.id=tmp.id;
compute stats indi_software_gold_oa;
create table indi_org_findable stored as parquet as
with result_with_pid as (
select ro.organization organization, count(distinct rp.id) no_result_with_pid from result_organization ro
@ -263,6 +298,8 @@ join result_with_pid_share on result_with_pid_share.organization=allresults.orga
left outer join (
select organization, abstract_share from result_with_abstract_share) tmp on tmp.organization=allresults.organization;
compute stats indi_org_findable;
create table indi_org_openess stored as parquet as
WITH datasets_oa as (
SELECT ro.organization, count(dg.id) no_oadatasets FROM indi_datasets_gold_oa dg
@ -313,6 +350,8 @@ left outer join (
left outer join (
select organization,s from allsoftwaresshare) tmp1 on tmp1.organization=allpubsshare.organization;
compute stats indi_org_openess;
create table indi_pub_hybrid_oa_with_cc stored as parquet as
WITH hybrid_oa AS (
SELECT issn_l, journal_is_in_doaj, journal_is_oa, issn_print as issn
@ -343,6 +382,8 @@ LEFT OUTER JOIN (
JOIN indi_result_has_cc_licence cc on pd.id=cc.id
where cc.has_cc_license=1) tmp on pd.id=tmp.id;
compute stats indi_pub_hybrid_oa_with_cc;
create table indi_pub_downloads stored as parquet as
SELECT result_id, sum(downloads) no_dowloads from openaire_prod_usage_stats.usage_stats
join publication on result_id=id
@ -350,6 +391,8 @@ where downloads>0
GROUP BY result_id
order by no_dowloads desc;
compute stats indi_pub_downloads;
create table indi_pub_downloads_datasource stored as parquet as
SELECT result_id, repository_id, sum(downloads) no_dowloads from openaire_prod_usage_stats.usage_stats
join publication on result_id=id
@ -357,15 +400,21 @@ where downloads>0
GROUP BY result_id, repository_id
order by result_id;
compute stats indi_pub_downloads_datasource;
create table indi_pub_downloads_year stored as parquet as
SELECT result_id, substring(us.`date`, 1,4) as `year`, sum(downloads) no_dowloads from openaire_prod_usage_stats.usage_stats us
join publication on result_id=id where downloads>0
GROUP BY result_id, `year`
order by `year` asc;
compute stats indi_pub_downloads_year;
create table indi_pub_downloads_datasource_year stored as parquet as
SELECT result_id, substring(us.`date`, 1,4) as `year`, repository_id, sum(downloads) no_dowloads from openaire_prod_usage_stats.usage_stats us
join publication on result_id=id
where downloads>0
GROUP BY result_id, repository_id, `year`
order by `year` asc, result_id;
compute stats indi_pub_downloads_datasource_year;

View File

@ -18,28 +18,45 @@ create table TARGET.result stored as parquet as
select * from SOURCE.result r where exists (select 1 from SOURCE.result_concepts rc where rc.id=r.id)
union all
select * from SOURCE.result r where exists (select 1 from SOURCE.result_organization ro where ro.id=r.id and ro.organization in (
'openorgs____::759d59f05d77188faee99b7493b46805',
'openorgs____::b84450f9864182c67b8611b5593f4250',
'openorgs____::d41cf6bd4ab1b1362a44397e0b95c975',
'openorgs____::eadc8da90a546e98c03f896661a2e4d4',
'openorgs____::d2a09b9d5eabb10c95f9470e172d05d2',
'openorgs____::d169c7407dd417152596908d48c11460',
'openorgs____::1ec924b1759bb16d0a02f2dad8689b21',
'openorgs____::2fb1e47b4612688d9de9169d579939a7',
'openorgs____::759d59f05d77188faee99b7493b46805',
'openorgs____::cad284878801b9465fa51a95b1d779db',
'openorgs____::eadc8da90a546e98c03f896661a2e4d4',
'openorgs____::c0286313e36479eff8676dba9b724b40'
-- ,'openorgs____::c80a8243a5e5c620d7931c88d93bf17a' -- Paris Diderot
) )) foo;
'openorgs____::b84450f9864182c67b8611b5593f4250', --"Athena Research and Innovation Center In Information Communication & Knowledge Technologies', --ARC"
'openorgs____::d41cf6bd4ab1b1362a44397e0b95c975', --National Research Council
'openorgs____::d2a09b9d5eabb10c95f9470e172d05d2', --??? Not exists ??
'openorgs____::d169c7407dd417152596908d48c11460', --Masaryk University
'openorgs____::1ec924b1759bb16d0a02f2dad8689b21', --University of Belgrade
'openorgs____::2fb1e47b4612688d9de9169d579939a7', --University of Helsinki
'openorgs____::759d59f05d77188faee99b7493b46805', --University of Minho
'openorgs____::cad284878801b9465fa51a95b1d779db', --Universidad Politécnica de Madrid
'openorgs____::eadc8da90a546e98c03f896661a2e4d4', --University of Göttingen
'openorgs____::c0286313e36479eff8676dba9b724b40', --National and Kapodistrian University of Athens
-- 'openorgs____::c80a8243a5e5c620d7931c88d93bf17a', --Université Paris Diderot
'openorgs____::c08634f0a6b0081c3dc6e6c93a4314f3', --Bielefeld University
'openorgs____::6fc85e4a8f7ecaf4b0c738d010e967ea', --University of Southern Denmark
'openorgs____::3d6122f87f9a97a99d8f6e3d73313720', --Humboldt-Universität zu Berlin
'openorgs____::16720ada63d0fa8ca41601feae7d1aa5', --TU Darmstadt
'openorgs____::ccc0a066b56d2cfaf90c2ae369df16f5', --KU Leuven
'openorgs____::4c6f119632adf789746f0a057ed73e90', --University of the Western Cape
'openorgs____::ec3665affa01aeafa28b7852c4176dbd', --Rudjer Boskovic Institute
'openorgs____::5f31346d444a7f06a28c880fb170b0f6', --Ghent University
'openorgs____::2dbe47117fd5409f9c61620813456632', --University of Luxembourg
'openorgs____::6445d7758d3a40c4d997953b6632a368' --National Institute of Informatics (NII)
) )) foo;
compute stats TARGET.result;
create table TARGET.result_citations stored as parquet as select * from SOURCE.result_citations orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_citations;
create table TARGET.result_references_oc stored as parquet as select * from SOURCE.result_references_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_references_oc;
create table TARGET.result_citations_oc stored as parquet as select * from SOURCE.result_citations_oc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_citations_oc;
create table TARGET.result_classifications stored as parquet as select * from SOURCE.result_classifications orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_classifications;
create table TARGET.result_apc stored as parquet as select * from SOURCE.result_apc orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_apc;
create table TARGET.result_concepts stored as parquet as select * from SOURCE.result_concepts orig where exists (select 1 from TARGET.result r where r.id=orig.id);
compute stats TARGET.result_concepts;

View File

@ -801,7 +801,7 @@
<mockito-core.version>3.3.3</mockito-core.version>
<mongodb.driver.version>3.4.2</mongodb.driver.version>
<vtd.version>[2.12,3.0)</vtd.version>
<dhp-schemas.version>[2.10.32]</dhp-schemas.version>
<dhp-schemas.version>[2.12.0]</dhp-schemas.version>
<dnet-actionmanager-api.version>[4.0.3]</dnet-actionmanager-api.version>
<dnet-actionmanager-common.version>[6.0.5]</dnet-actionmanager-common.version>
<dnet-openaire-broker-common.version>[3.1.6]</dnet-openaire-broker-common.version>