From 19abba8fa75eb829e81aff04a9c27f906139bb5c Mon Sep 17 00:00:00 2001 From: Alessia Bardi Date: Tue, 19 Sep 2023 13:38:25 +0200 Subject: [PATCH] tests for d4science catalog --- .../dnetlib/dhp/oa/graph/raw/MappersTest.java | 22 +++++ .../dhp/oa/graph/raw/d4science-1-training.xml | 93 +++++++++++++++++++ .../dhp/oa/graph/raw/d4science-2-dataset.xml | 72 ++++++++++++++ .../oa/provision/XmlRecordFactoryTest.java | 52 ++++++++++- .../oa/provision/d4science-1-training.json | 1 + .../dhp/oa/provision/d4science-2-dataset.json | 1 + 6 files changed, 237 insertions(+), 4 deletions(-) create mode 100644 dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-1-training.xml create mode 100644 dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-2-dataset.xml create mode 100644 dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/d4science-1-training.json create mode 100644 dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/d4science-2-dataset.json diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java index 894ed33f7..b506d3a62 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/raw/MappersTest.java @@ -1067,6 +1067,28 @@ class MappersTest { System.out.println("***************"); } + @Test + public void testD4ScienceTraining() throws IOException { + final String xml = IOUtils + .toString(Objects.requireNonNull(getClass().getResourceAsStream("d4science-1-training.xml"))); + final List list = new OdfToOafMapper(vocs, false, true).processMdRecord(xml); + final OtherResearchProduct trainingMaterial = (OtherResearchProduct) list.get(0); + System.out.println("***************"); + System.out.println(new ObjectMapper().writeValueAsString(trainingMaterial)); + System.out.println("***************"); + } + + @Test + public void testD4ScienceDataset() throws IOException { + final String xml = IOUtils + .toString(Objects.requireNonNull(getClass().getResourceAsStream("d4science-2-dataset.xml"))); + final List list = new OdfToOafMapper(vocs, false, true).processMdRecord(xml); + final Dataset trainingMaterial = (Dataset) list.get(0); + System.out.println("***************"); + System.out.println(new ObjectMapper().writeValueAsString(trainingMaterial)); + System.out.println("***************"); + } + @Test void testNotWellFormed() throws IOException { final String xml = IOUtils diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-1-training.xml b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-1-training.xml new file mode 100644 index 000000000..91f9f9118 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-1-training.xml @@ -0,0 +1,93 @@ + + + + alessia_____::104c2d4ba8878c16fa824dce5b1bea57 + 12d8f77e-d66f-46f5-8d88-af7db23bc4c9 + 2023-09-08T10:12:35.864+02:00 + alessia_____ + 2023-09-08T11:31:45.692+02:00 + + + + http://data.d4science.org/ctlg/ResourceCatalogue/visual_analytics_for_data_scientists + + + + BRAGHIERI MARCO + + + + Visual Analytics for Data Scientists + + SoBigData++ + + + + + TrainingMaterial + + Participants to this module shall + - Learn the principles and rules underlying the design of visual data + representations and human-computer interactions + - Understand, adapt and apply representative visual analytics methods and systems for diverse types + of data and problems + - Analyse and evaluate the structure and properties + of data to select or devise appropriate methods for data exploration + - Combine visualization, interactive techniques, and computational + processing to develop practical data analysis for problem solving + + (This teaching material on Visual Analytics for Data Scientists is part of a MSc module at City University London). + + The author did not intend to violate any copyright on figures or content. In case you are the legal owner of any copyrighted content, please contact info@sobigdata.eu and we will immediately remove it + + + Visual analytics + + + Slides + Other + PDF + PDF + PDF + PDF + PDF + PDF + PDF + PDF + PDF + PDF + ZIP + + + OPEN + 0010 + + + + other-open + corda__h2020::871042 + + + + + https%3A%2F%2Fapi.d4science.org%2Fcatalogue%2Fitems + + + + + + + false + false + 0.9 + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-2-dataset.xml b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-2-dataset.xml new file mode 100644 index 000000000..48ceb6c13 --- /dev/null +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/raw/d4science-2-dataset.xml @@ -0,0 +1,72 @@ + + + + alessia_____::028879484548f4e1c630e1c503e35231 + 4fed018e-c2ff-4afa-b7b5-1ca1beebf850 + 2023-09-08T12:14:27.615+02:00 + alessia_____ + 2023-09-08T12:14:51.7+02:00 + + + + http://data.d4science.org/ctlg/ResourceCatalogue/city-to-city_migration + + + + + + Pappalardo, Luca + + 0000-0002-1547-6007 + + + + City-to-city migration + + SoBigData++ + + + 2018-02-15 + + Dataset + + Census data recording the migration of people between metropolitan areas in + the US + + + Human Mobility data + + + + OPEN + 0021 + 2018-02-15 + + + AFL-3.0 + corda__h2020::871042 + + + + + https%3A%2F%2Fapi.d4science.org%2Fcatalogue%2Fitems + + + + + + + false + false + 0.9 + + + + + \ No newline at end of file diff --git a/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java b/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java index 761539780..88bffd0e7 100644 --- a/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java +++ b/dhp-workflows/dhp-graph-provision/src/test/java/eu/dnetlib/dhp/oa/provision/XmlRecordFactoryTest.java @@ -24,10 +24,7 @@ import eu.dnetlib.dhp.oa.provision.model.RelatedEntity; import eu.dnetlib.dhp.oa.provision.model.RelatedEntityWrapper; import eu.dnetlib.dhp.oa.provision.utils.ContextMapper; import eu.dnetlib.dhp.oa.provision.utils.XmlRecordFactory; -import eu.dnetlib.dhp.schema.oaf.Datasource; -import eu.dnetlib.dhp.schema.oaf.Project; -import eu.dnetlib.dhp.schema.oaf.Publication; -import eu.dnetlib.dhp.schema.oaf.Relation; +import eu.dnetlib.dhp.schema.oaf.*; public class XmlRecordFactoryTest { @@ -196,4 +193,51 @@ public class XmlRecordFactoryTest { assertEquals("dnet:pid_types", ((Element) pids.get(0)).attribute("schemeid").getValue()); assertEquals("dnet:pid_types", ((Element) pids.get(0)).attribute("schemename").getValue()); } + + @Test + public void testD4ScienceTraining() throws DocumentException, IOException { + final ContextMapper contextMapper = new ContextMapper(); + + final XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false, + XmlConverterJob.schemaLocation); + + final OtherResearchProduct p = OBJECT_MAPPER + .readValue( + IOUtils.toString(getClass().getResourceAsStream("d4science-1-training.json")), + OtherResearchProduct.class); + + final String xml = xmlRecordFactory.build(new JoinedEntity<>(p)); + + assertNotNull(xml); + + final Document doc = new SAXReader().read(new StringReader(xml)); + + assertNotNull(doc); + System.out.println(doc.asXML()); + + } + + @Test + public void testD4ScienceDataset() throws DocumentException, IOException { + final ContextMapper contextMapper = new ContextMapper(); + + final XmlRecordFactory xmlRecordFactory = new XmlRecordFactory(contextMapper, false, + XmlConverterJob.schemaLocation); + + final OtherResearchProduct p = OBJECT_MAPPER + .readValue( + IOUtils.toString(getClass().getResourceAsStream("d4science-2-dataset.json")), + OtherResearchProduct.class); + + final String xml = xmlRecordFactory.build(new JoinedEntity<>(p)); + + assertNotNull(xml); + + final Document doc = new SAXReader().read(new StringReader(xml)); + + assertNotNull(doc); + System.out.println(doc.asXML()); + + } + } diff --git a/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/d4science-1-training.json b/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/d4science-1-training.json new file mode 100644 index 000000000..3ce397f10 --- /dev/null +++ b/dhp-workflows/dhp-graph-provision/src/test/resources/eu/dnetlib/dhp/oa/provision/d4science-1-training.json @@ -0,0 +1 @@ +{"collectedfrom":[{"key":"10|alessia_____::6332e88a4c7dba6f7743d3a7a0c6ea2c","value":"Alessia","dataInfo":null}],"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.9","inferenceprovenance":"","provenanceaction":{"classid":"sysimport:crosswalk","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}},"lastupdatetimestamp":1694165542374,"id":"50|alessia_____::104c2d4ba8878c16fa824dce5b1bea57","originalId":["12d8f77e-d66f-46f5-8d88-af7db23bc4c9","50|alessia_____::104c2d4ba8878c16fa824dce5b1bea57"],"pid":[],"dateofcollection":"2023-09-08T10:12:35.864+02:00","dateoftransformation":"2023-09-08T11:31:45.692+02:00","extraInfo":[],"oaiprovenance":{"originDescription":{"harvestDate":"2023-09-08T10:12:35.864+02:00","altered":true,"baseURL":"https%3A%2F%2Fapi.d4science.org%2Fcatalogue%2Fitems","identifier":"","datestamp":"","metadataNamespace":""}},"measures":null,"processingchargeamount":null,"processingchargecurrency":null,"author":[{"fullname":"BRAGHIERI MARCO","name":"","surname":"","rank":1,"pid":[],"affiliation":[]}],"resulttype":{"classid":"other","classname":"other","schemeid":"dnet:result_typologies","schemename":"dnet:result_typologies"},"language":{"classid":"","classname":"","schemeid":"dnet:languages","schemename":"dnet:languages"},"country":[],"subject":[{"value":"Visual analytics","qualifier":{"classid":"","classname":"","schemeid":"","schemename":""},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.9","inferenceprovenance":"","provenanceaction":{"classid":"sysimport:crosswalk","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"title":[{"value":"Visual Analytics for Data Scientists","qualifier":{"classid":"main title","classname":"main title","schemeid":"dnet:dataCite_title","schemename":"dnet:dataCite_title"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.9","inferenceprovenance":"","provenanceaction":{"classid":"sysimport:crosswalk","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"relevantdate":[{"value":"","qualifier":{"classid":"Issued","classname":"Issued","schemeid":"dnet:dataCite_date","schemename":"dnet:dataCite_date"},"dataInfo":{"invisible":false,"inferred":false,"deletedbyinference":false,"trust":"0.9","inferenceprovenance":"","provenanceaction":{"classid":"sysimport:crosswalk","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"}}}],"description":[{"value":"Participants to this module shall\n - Learn the principles and rules underlying the design of visual data\n representations and human-computer interactions\n - Understand, adapt and apply representative visual analytics methods and systems for diverse types\n of data and problems\n - Analyse and evaluate the structure and properties\n of data to select or devise appropriate methods for data exploration\n - Combine visualization, interactive techniques, and computational\n processing to develop practical data analysis for problem solving\n\n (This teaching material on Visual Analytics for Data Scientists is part of a MSc module at City University London).\n\n The author did not intend to violate any copyright on figures or content. 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