From b18bbca8af79e08512a192f684ba4c7353d7eeab Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Fri, 11 Nov 2022 12:42:58 +0100 Subject: [PATCH 1/3] [EOSC TAG] adding search in orp for jupyter notebook criteria --- .../main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java index c131399cc..501fdf50e 100644 --- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java +++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java @@ -118,6 +118,10 @@ public class SparkEoscTag { if (containscriteriaTwitter(orp)) { addEIG(orp.getEoscifguidelines(), EOSC_TWITTER_DATA, EOSC_TWITTER_DATA, "", COMPLIES_WITH); } + if (containsCriteriaNotebook(orp)) { + addEIG(orp.getEoscifguidelines(), EOSC_JUPYTER_NOTEBOOK, EOSC_JUPYTER_NOTEBOOK, "", + COMPLIES_WITH); + } return orp; }, Encoders.bean(OtherResearchProduct.class)) .write() @@ -190,7 +194,7 @@ public class SparkEoscTag { .orElse(false); } - private static boolean containsCriteriaNotebook(Software s) { + private static boolean containsCriteriaNotebook(Result s) { if (!Optional.ofNullable(s.getSubject()).isPresent()) return false; if (s.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("jupyter"))) From 5f9383b2d9b9678e4a4945b50283da89aa9fc709 Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Fri, 11 Nov 2022 14:06:19 +0100 Subject: [PATCH 2/3] [EOSC TAG] remove reduntant check for jupyter notebook --- .../java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java | 7 ------- 1 file changed, 7 deletions(-) diff --git a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java index 501fdf50e..b917d3980 100644 --- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java +++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/eosc/SparkEoscTag.java @@ -199,13 +199,6 @@ public class SparkEoscTag { return false; 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; From cee7a45b1d0d949f12da38a99dd465f03e720467 Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Mon, 21 Nov 2022 18:10:20 +0100 Subject: [PATCH 3/3] [Bulk Tag Datasource] fixed issue with verb name and add new test for neanias selection for orcid --- .../criteria/ContainsVerbIgnoreCase.java | 2 +- .../bulktag/criteria/EqualVerbIgnoreCase.java | 2 +- .../criteria/NotContainsVerbIgnoreCase.java | 2 +- .../criteria/NotEqualVerbIgnoreCase.java | 2 +- .../dnetlib/dhp/bulktag/BulkTagJobTest.java | 48 ++++++++++++++++++ .../tagging_conf_neanias.xml | 18 +++++++ .../dataset_10.json | 10 ++++ .../dataset_10.json.gz | Bin 6883 -> 0 bytes .../publication/orcidbulktagfordatasource | 2 + 9 files changed, 82 insertions(+), 4 deletions(-) create mode 100644 dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/communityconfiguration/tagging_conf_neanias.xml create mode 100644 dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/sample/dataset/update_datasourcewithconstraints/dataset_10.json delete mode 100644 dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/sample/dataset/update_datasourcewithconstraints/dataset_10.json.gz create mode 100644 dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/sample/publication/orcidbulktagfordatasource diff --git a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/ContainsVerbIgnoreCase.java b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/ContainsVerbIgnoreCase.java index a4a6f5663..767ace163 100644 --- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/ContainsVerbIgnoreCase.java +++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/ContainsVerbIgnoreCase.java @@ -3,7 +3,7 @@ package eu.dnetlib.dhp.bulktag.criteria; import java.io.Serializable; -@VerbClass("contains_ignorecase") +@VerbClass("contains_caseinsentive") public class ContainsVerbIgnoreCase implements Selection, Serializable { private String param; diff --git a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/EqualVerbIgnoreCase.java b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/EqualVerbIgnoreCase.java index c5f0ce070..30022bf72 100644 --- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/EqualVerbIgnoreCase.java +++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/EqualVerbIgnoreCase.java @@ -3,7 +3,7 @@ package eu.dnetlib.dhp.bulktag.criteria; import java.io.Serializable; -@VerbClass("equals_ignorecase") +@VerbClass("equals_caseinsentive") public class EqualVerbIgnoreCase implements Selection, Serializable { private String param; diff --git a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotContainsVerbIgnoreCase.java b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotContainsVerbIgnoreCase.java index b21be83f0..0ea2e485c 100644 --- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotContainsVerbIgnoreCase.java +++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotContainsVerbIgnoreCase.java @@ -3,7 +3,7 @@ package eu.dnetlib.dhp.bulktag.criteria; import java.io.Serializable; -@VerbClass("not_contains_ignorecase") +@VerbClass("not_contains_caseinsentive") public class NotContainsVerbIgnoreCase implements Selection, Serializable { private String param; diff --git a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotEqualVerbIgnoreCase.java b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotEqualVerbIgnoreCase.java index c6958a641..c37b6071c 100644 --- a/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotEqualVerbIgnoreCase.java +++ b/dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/criteria/NotEqualVerbIgnoreCase.java @@ -3,7 +3,7 @@ package eu.dnetlib.dhp.bulktag.criteria; import java.io.Serializable; -@VerbClass("not_equals_ignorecase") +@VerbClass("not_equals_caseinsentive") public class NotEqualVerbIgnoreCase implements Selection, Serializable { private String param; diff --git a/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/BulkTagJobTest.java b/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/BulkTagJobTest.java index 07299f01a..676f37792 100644 --- a/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/BulkTagJobTest.java +++ b/dhp-workflows/dhp-enrichment/src/test/java/eu/dnetlib/dhp/bulktag/BulkTagJobTest.java @@ -769,4 +769,52 @@ public class BulkTagJobTest { .assertEquals( 3, idExplodeCommunity.filter("provenance = 'community:datasource'").count()); } + + @Test + void bulktagPublicationwithConstraintsTest() throws Exception { + + final String sourcePath = getClass() + .getResource( + "/eu/dnetlib/dhp/bulktag/sample/publication/orcidbulktagfordatasource") + .getPath(); + SparkBulkTagJob + .main( + new String[] { + "-isTest", Boolean.TRUE.toString(), + "-isSparkSessionManaged", Boolean.FALSE.toString(), + "-sourcePath", sourcePath, + "-taggingConf", IOUtils + .toString( + BulkTagJobTest.class + .getResourceAsStream( + "/eu/dnetlib/dhp/bulktag/communityconfiguration/tagging_conf_neanias.xml")), + "-resultTableName", "eu.dnetlib.dhp.schema.oaf.Publication", + "-outputPath", workingDir.toString() + "/publication", + "-isLookUpUrl", MOCK_IS_LOOK_UP_URL, + "-pathMap", pathMap + }); + + final JavaSparkContext sc = JavaSparkContext.fromSparkContext(spark.sparkContext()); + + JavaRDD tmp = sc + .textFile(workingDir.toString() + "/publication") + .map(item -> OBJECT_MAPPER.readValue(item, Publication.class)); + + Assertions.assertEquals(2, tmp.count()); + org.apache.spark.sql.Dataset verificationDataset = spark + .createDataset(tmp.rdd(), Encoders.bean(Publication.class)); + + verificationDataset.createOrReplaceTempView("dataset"); + String query = "select id, MyT.id community, MyD.provenanceaction.classid provenance, MyD.provenanceaction.classname name " + + "from dataset " + + "lateral view explode(context) c as MyT " + + "lateral view explode(MyT.datainfo) d as MyD " + + "where MyD.inferenceprovenance = 'bulktagging'"; + + org.apache.spark.sql.Dataset idExplodeCommunity = spark.sql(query); + + idExplodeCommunity.show(false); + Assertions.assertEquals(0, idExplodeCommunity.count()); + + } } diff --git a/dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/communityconfiguration/tagging_conf_neanias.xml b/dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/communityconfiguration/tagging_conf_neanias.xml new file mode 100644 index 000000000..3b1aab8b3 --- /dev/null +++ b/dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/communityconfiguration/tagging_conf_neanias.xml @@ -0,0 +1,18 @@ + + + + + + openaire____::806360c771262b4d6770e7cdf04b5c5a + {"criteria":[{"constraint":[{"verb":"equals","field":"orcid","value":"0000-0002-7883-0894"}]},{"constraint":[{"verb":"equals","field":"orcid","value":"0000-0001-8608-5743"}]},{"constraint":[{"verb":"equals","field":"orcid","value":"0000-0001-9785-1781"}]},{"constraint":[{"verb":"equals","field":"orcid","value":"0000-0001-9684-8863"}]},{"constraint":[{"verb":"equals_caseinsentive","field":"orcid","value":"0000-0002-1673-2084"}]}]} + + + + + dimpo + + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/sample/dataset/update_datasourcewithconstraints/dataset_10.json b/dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/sample/dataset/update_datasourcewithconstraints/dataset_10.json new file mode 100644 index 000000000..77b6a1009 --- /dev/null +++ b/dhp-workflows/dhp-enrichment/src/test/resources/eu/dnetlib/dhp/bulktag/sample/dataset/update_datasourcewithconstraints/dataset_10.json @@ -0,0 +1,10 @@ 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se están desarrollando en la Universidad Camilo José Cela (UCJC) sobre la cafeína y sus efectos cuando se realiza deporte. https://www.ucjc.edu/2016/08/la-bbc-s...\n\nJuan Del Coso, director del Laboratorio de Fisiología del Ejercicio de la Universidad Camilo José Cela, nos describe cómo está siendo la investigación que desarrolla con deportistas de alto rendimiento y el consumo de cafeína.\n\n\"Nuestra investigación se enmarca dentro del campo de la fisiología del ejercicio y el objetivo que tenemos es investigar los efectos que tiene la cafeína en los deportistas, principalmente saber si es una ayuda ergogénica en la mayor parte de los deportes, pero también conocer qué perjuicios existen para aquellos deportistas que la utilizan para incrementar el rendimiento deportivo\", explica Del Coso.\n\nY es que los datos son muy llamativos: tres de cada cuatro deportistas de alto rendimiento utilizan la cafeína antes de la competición y muchas veces se utiliza sin saber los perjuicios que puede tener para el deportista. \"Lo que estamos investigando es cómo una sustancia, que te puede hacer rendir mejor, cómo puede afectar negativamente cuando termina una competición\".\n\nPero esta investigación no sólo puede extraer conclusiones interesantes y útiles para los deportistas profesionales, \"investigando el deporte de alto rendimiento podemos conocer los beneficios y perjuicios de la cafeína que también afectarían al deportista amateur y hacer un deporte en general más seguro\".\n\nPara el desarrollo de este proyecto de investigación están colaborando el Laboratorio de Fisiología del Ejercicio de la Universidad Camilo José Cela y la Agencia para la Protección de la Salud en el Deporte.\nPara el desarrollo de este proyecto de investigación están colaborando el Laboratorio de Fisiología del Ejercicio de la Universidad Camilo José Cela y la Agencia para la Protección de la Salud en el 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El formato es al estilo inglés, similar al de la Oxford Union, donde algunos jóvenes se reunían a debatir sobre temas de la más candente actualidad y polemizaban con la intención de formarse en tan valoradas habilidades.\n\nLa Liga de Debate CICAE-UCJC es una ocasión única para los alumnos de ponerse en contacto con herramientas tan útiles como la oratoria y la comunicación efectiva. Pero, sobre todo, una oportunidad de fomentar el pensamiento crítico y la socialización entre alumnos con espíritu emprendedor. La Liga de Debate CICAE - Universidad Camilo José Cela se diferencia del resto de torneos en que potenciamos que sea eminentemente formativa. Alumnos y profesores reciben formación en comunicación, oratoria y debate por parte de alguno de los expertos en debate españoles más reconocidos en la escena internacional.\n\nDatos de la III Liga de Debate CICAE - UCJC http://ligacicae.ucjc.edu/","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.9","inferenceprovenance":"","provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"sysimport:crosswalk:repository","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"dateofacceptance":{"value":"2018-10-23","dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.9","inferenceprovenance":"","provenanceaction":{"classid":"sysimport:crosswalk:repository","classname":"sysimport:crosswalk:repository","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}},"publisher":null,"embargoenddate":null,"source":[],"fulltext":[],"format":[],"contributor":[{"value":"Universidad 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Meitei","name":"M.","pid":[],"rank":2,"surname":"Meitei"}],"bestaccessright":{"classid":"UNKNOWN","classname":"not available","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"collectedfrom":[{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},{"key":"10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a","value":"Microsoft Academic Graph"}],"context":[],"contributor":[],"country":[],"coverage":[],"dataInfo":{"deletedbyinference":true,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:actionset","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.9"},"dateofacceptance":{"value":"2104-03-31"},"dateofcollection":"2022-04-03T16:44:44Z","description":[{"value":"OBJECTIVE Reliability of survey responses on topics such as utilization of health facilities by mother and child has long been a subject of concern. This paper explores consistency of responses from the same individuals over time on utilization of health services involving child delivery and child care. METHODS A sub-sample survey was carried out by an independent monitoring agency in 13 states as a part of a larger Coverage Evaluation Survey of all states of India in 2009 by UNICEF, to recheck the responses to improve data quality. Our randomly chosen sub-sample consisted of 510 questionnaires regarding mothers and 497 regarding children. Differences of responses were noted and conveyed to field agencies to rectify recurring errors. Statistical analysis was conducted to find consistency of responses. RESULTS Matching between the original and rechecked responses varied. Generally, however, the overall match was greater than 90%. CONCLUSION Findings suggest that response inconsistencies and the manner in which they are resolved are shown to have important implications for the overall estimate of indicators of utilization of health facilities. The monitoring exercise has, therefore, addressed the quality and consistency issue, which needs further consideration in large-scale surveys. Otherwise, it poses a validity threat to data quality and results on which national policy is framed."}],"eoscifguidelines":[],"externalReference":[],"extraInfo":[],"format":[],"fulltext":[],"id":"50|doi_________::5d9e0fed830cbd5516bd5b8a8466895f","instance":[{"accessright":{"classid":"UNKNOWN","classname":"not available","schemeid":"dnet:access_modes","schemename":"dnet:access_modes"},"collectedfrom":{"key":"10|openaire____::081b82f96300b6a6e3d282bad31cb6e2","value":"Crossref"},"dateofacceptance":{"value":"2104-03-31"},"hostedby":{"key":"10|issn__online::b3bb3b0d590a0aa6835e1970936718a3","value":"World Health & 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This paper explores consistency of responses from the same individuals over time on utilization of health services involving child delivery and child care. METHODS A sub-sample survey was carried out by an independent monitoring agency in 13 states as a part of a larger Coverage Evaluation Survey of all states of India in 2009 by UNICEF, to recheck the responses to improve data quality. Our randomly chosen sub-sample consisted of 510 questionnaires regarding mothers and 497 regarding children. Differences of responses were noted and conveyed to field agencies to rectify recurring errors. Statistical analysis was conducted to find consistency of responses. RESULTS Matching between the original and rechecked responses varied. Generally, however, the overall match was greater than 90%. 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