doidoost_dismiss #418
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@ -1,6 +1,8 @@
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package eu.dnetlib.dhp.schema.oaf.utils;
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import org.apache.commons.lang3.StringUtils;
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public class DoiCleaningRule {
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public static String clean(final String doi) {
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@ -11,4 +13,26 @@ public class DoiCleaningRule {
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.replaceFirst(CleaningFunctions.DOI_PREFIX_REGEX, CleaningFunctions.DOI_PREFIX);
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}
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public static String normalizeDoi(final String input) {
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if (input == null)
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return null;
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final String replaced = input
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.replaceAll("\\n|\\r|\\t|\\s", "")
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.toLowerCase()
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.replaceFirst(CleaningFunctions.DOI_PREFIX_REGEX, CleaningFunctions.DOI_PREFIX);
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if (StringUtils.isEmpty(replaced))
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return null;
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if (!replaced.contains("10."))
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return null;
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final String ret = replaced.substring(replaced.indexOf("10."));
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if (!ret.startsWith(CleaningFunctions.DOI_PREFIX))
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return null;
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return ret;
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}
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}
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@ -1,5 +1,8 @@
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package eu.dnetlib.dhp.application
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import eu.dnetlib.dhp.common.Constants
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import eu.dnetlib.dhp.utils.DHPUtils.writeHdfsFile
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import scala.io.Source
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/** This is the main Interface SparkApplication
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@ -70,4 +73,13 @@ abstract class AbstractScalaApplication(
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.getOrCreate()
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}
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def reportTotalSize(targetPath: String, outputBasePath: String): Unit = {
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val total_items = spark.read.text(targetPath).count()
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writeHdfsFile(
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spark.sparkContext.hadoopConfiguration,
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s"$total_items",
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outputBasePath + Constants.MDSTORE_SIZE_PATH
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)
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}
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}
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@ -0,0 +1,32 @@
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[
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{
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"paramName": "m",
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"paramLongName": "master",
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"paramDescription": "the master name",
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"paramRequired": true
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},
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{
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"paramName": "s",
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"paramLongName": "sourcePath",
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"paramDescription": "The base path of Crossref DUMP",
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"paramRequired": true
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},
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{
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"paramName": "uw",
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"paramLongName": "unpaywallPath",
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"paramDescription": "The base path of unpaywall DUMP",
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"paramRequired": true
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},
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{
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"paramName": "mov",
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"paramLongName": "mdstoreOutputVersion",
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"paramDescription": "The mdstore Output Version",
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"paramRequired": false
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},
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{
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"paramName": "i",
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"paramLongName": "isLookupUrl",
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"paramDescription": "the Information System Service LookUp URL",
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"paramRequired": true
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}
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]
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@ -0,0 +1,916 @@
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[
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{
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"id": "100007630",
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"uri": "http://dx.doi.org/10.13039/100007630",
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"name": "College of Engineering and Informatics, National University of Ireland, Galway",
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"synonym": []
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},
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{
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"id": "100007731",
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"uri": "http://dx.doi.org/10.13039/100007731",
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"name": "Endo International",
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"synonym": []
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},
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{
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"id": "100008099",
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"uri": "http://dx.doi.org/10.13039/100008099",
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"name": "Food Safety Authority of Ireland",
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"synonym": []
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},
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{
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"id": "100008124",
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"uri": "http://dx.doi.org/10.13039/100008124",
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"name": "Department of Jobs, Enterprise and Innovation",
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"synonym": []
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},
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{
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"id": "100009098",
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"uri": "http://dx.doi.org/10.13039/100009098",
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"name": "Department of Foreign Affairs and Trade, Ireland",
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"synonym": []
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},
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{
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"id": "100009099",
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"uri": "http://dx.doi.org/10.13039/100009099",
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"name": "Irish Aid",
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"synonym": []
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},
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{
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"id": "100009770",
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"uri": "http://dx.doi.org/10.13039/100009770",
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"name": "National University of Ireland",
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"synonym": []
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},
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{
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"id": "100009985",
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"uri": "http://dx.doi.org/10.13039/100009985",
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"name": "Parkinson's Association of Ireland",
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"synonym": []
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},
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{
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"id": "100010399",
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"uri": "http://dx.doi.org/10.13039/100010399",
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"name": "European Society of Cataract and Refractive Surgeons",
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"synonym": []
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},
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{
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"id": "100010414",
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"uri": "http://dx.doi.org/10.13039/100010414",
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"name": "Health Research Board",
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"synonym": [
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"501100001590"
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]
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},
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{
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"id": "100010546",
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"uri": "http://dx.doi.org/10.13039/100010546",
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"name": "Deparment of Children and Youth Affairs, Ireland",
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"synonym": []
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},
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{
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"id": "100010993",
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"uri": "http://dx.doi.org/10.13039/100010993",
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"name": "Irish Nephrology Society",
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"synonym": []
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},
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{
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"id": "100011096",
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"uri": "http://dx.doi.org/10.13039/100011096",
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"name": "Jazz Pharmaceuticals",
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"synonym": []
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},
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{
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"id": "100011396",
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"uri": "http://dx.doi.org/10.13039/100011396",
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"name": "Irish College of General Practitioners",
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"synonym": []
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},
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{
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"id": "100012734",
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"uri": "http://dx.doi.org/10.13039/100012734",
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"name": "Department for Culture, Heritage and the Gaeltacht, Ireland",
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"synonym": []
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},
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{
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"id": "100012754",
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"uri": "http://dx.doi.org/10.13039/100012754",
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"name": "Horizon Pharma",
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"synonym": []
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},
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{
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"id": "100012891",
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"uri": "http://dx.doi.org/10.13039/100012891",
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"name": "Medical Research Charities Group",
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"synonym": []
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},
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{
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"id": "100012919",
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"uri": "http://dx.doi.org/10.13039/100012919",
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"name": "Epilepsy Ireland",
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"synonym": []
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},
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{
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"id": "100012920",
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"uri": "http://dx.doi.org/10.13039/100012920",
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"name": "GLEN",
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"synonym": []
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},
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{
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"id": "100012921",
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"uri": "http://dx.doi.org/10.13039/100012921",
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"name": "Royal College of Surgeons in Ireland",
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"synonym": []
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},
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{
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"id": "100013029",
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"uri": "http://dx.doi.org/10.13039/100013029",
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"name": "Iris O'Brien Foundation",
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"synonym": []
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},
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{
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"id": "100013206",
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"uri": "http://dx.doi.org/10.13039/100013206",
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"name": "Food Institutional Research Measure",
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"synonym": []
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},
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{
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"id": "100013381",
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"uri": "http://dx.doi.org/10.13039/100013381",
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"name": "Irish Phytochemical Food Network",
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"synonym": []
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},
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{
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"id": "100013433",
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"uri": "http://dx.doi.org/10.13039/100013433",
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"name": "Transport Infrastructure Ireland",
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"synonym": []
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},
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{
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"id": "100013461",
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"uri": "http://dx.doi.org/10.13039/100013461",
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"name": "Arts and Disability Ireland",
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"synonym": []
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},
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{
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"id": "100013548",
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"uri": "http://dx.doi.org/10.13039/100013548",
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"name": "Filmbase",
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"synonym": []
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},
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{
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"id": "100013917",
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"uri": "http://dx.doi.org/10.13039/100013917",
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"name": "Society for Musicology in Ireland",
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"synonym": []
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},
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{
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"id": "100014251",
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"uri": "http://dx.doi.org/10.13039/100014251",
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"name": "Humanities in the European Research Area",
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"synonym": []
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},
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{
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"id": "100014364",
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"uri": "http://dx.doi.org/10.13039/100014364",
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"name": "National Children's Research Centre",
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"synonym": []
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},
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{
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"id": "100014384",
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"uri": "http://dx.doi.org/10.13039/100014384",
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"name": "Amarin Corporation",
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"synonym": []
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},
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{
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"id": "100014902",
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"uri": "http://dx.doi.org/10.13039/100014902",
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"name": "Irish Association for Cancer Research",
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"synonym": []
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},
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{
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"id": "100015023",
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"uri": "http://dx.doi.org/10.13039/100015023",
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"name": "Ireland Funds",
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"synonym": []
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},
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{
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"id": "100015037",
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"uri": "http://dx.doi.org/10.13039/100015037",
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"name": "Simon Cumbers Media Fund",
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"synonym": []
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},
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{
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"id": "100015319",
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"uri": "http://dx.doi.org/10.13039/100015319",
|
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"name": "Sport Ireland Institute",
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"synonym": []
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},
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{
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"id": "100015320",
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"uri": "http://dx.doi.org/10.13039/100015320",
|
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"name": "Paralympics Ireland",
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"synonym": []
|
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},
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{
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"id": "100015442",
|
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"uri": "http://dx.doi.org/10.13039/100015442",
|
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"name": "Global Brain Health Institute",
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"synonym": []
|
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},
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{
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"id": "100015992",
|
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"uri": "http://dx.doi.org/10.13039/100015992",
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"name": "St. Luke's Institute of Cancer Research",
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"synonym": []
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},
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{
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"id": "100017897",
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"uri": "http://dx.doi.org/10.13039/100017897",
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"name": "Friedreich\u2019s Ataxia Research Alliance Ireland",
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"synonym": []
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},
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{
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"id": "100018064",
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"uri": "http://dx.doi.org/10.13039/100018064",
|
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"name": "Department of Tourism, Culture, Arts, Gaeltacht, Sport and Media",
|
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"synonym": []
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},
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{
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"id": "100018172",
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"uri": "http://dx.doi.org/10.13039/100018172",
|
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"name": "Department of the Environment, Climate and Communications",
|
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"synonym": []
|
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},
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{
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"id": "100018175",
|
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"uri": "http://dx.doi.org/10.13039/100018175",
|
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"name": "Dairy Processing Technology Centre",
|
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"synonym": []
|
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},
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{
|
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"id": "100018270",
|
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"uri": "http://dx.doi.org/10.13039/100018270",
|
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"name": "Health Service Executive",
|
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"synonym": []
|
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},
|
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{
|
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"id": "100018529",
|
||||
"uri": "http://dx.doi.org/10.13039/100018529",
|
||||
"name": "Alkermes",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100018542",
|
||||
"uri": "http://dx.doi.org/10.13039/100018542",
|
||||
"name": "Irish Endocrine Society",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100018754",
|
||||
"uri": "http://dx.doi.org/10.13039/100018754",
|
||||
"name": "An Roinn Sl\u00e1inte",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100018998",
|
||||
"uri": "http://dx.doi.org/10.13039/100018998",
|
||||
"name": "Irish Research eLibrary",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100019428",
|
||||
"uri": "http://dx.doi.org/10.13039/100019428",
|
||||
"name": "Nabriva Therapeutics",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100019637",
|
||||
"uri": "http://dx.doi.org/10.13039/100019637",
|
||||
"name": "Horizon Therapeutics",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100020174",
|
||||
"uri": "http://dx.doi.org/10.13039/100020174",
|
||||
"name": "Health Research Charities Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100020202",
|
||||
"uri": "http://dx.doi.org/10.13039/100020202",
|
||||
"name": "UCD Foundation",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100020233",
|
||||
"uri": "http://dx.doi.org/10.13039/100020233",
|
||||
"name": "Ireland Canada University Foundation",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "100022943",
|
||||
"uri": "http://dx.doi.org/10.13039/100022943",
|
||||
"name": "National Cancer Registry Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001581",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001581",
|
||||
"name": "Arts Council of Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001582",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001582",
|
||||
"name": "Centre for Ageing Research and Development in Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001583",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001583",
|
||||
"name": "Cystinosis Foundation Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001584",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001584",
|
||||
"name": "Department of Agriculture, Food and the Marine, Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001586",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001586",
|
||||
"name": "Department of Education and Skills, Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001587",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001587",
|
||||
"name": "Economic and Social Research Institute",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001588",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001588",
|
||||
"name": "Enterprise Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001589",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001589",
|
||||
"name": "Environmental Protection Agency",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001591",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001591",
|
||||
"name": "Heritage Council",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001592",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001592",
|
||||
"name": "Higher Education Authority",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001593",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001593",
|
||||
"name": "Irish Cancer Society",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001594",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001594",
|
||||
"name": "Irish Heart Foundation",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100001595",
|
||||
"uri": "http://dx.doi.org/10.13039/501100001595",
|
||||
"name": "Irish Hospice Foundation",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
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||||
},
|
||||
{
|
||||
"id": "501100006554",
|
||||
"uri": "http://dx.doi.org/10.13039/501100006554",
|
||||
"name": "IDA Ireland",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100011626",
|
||||
"uri": "http://dx.doi.org/10.13039/501100011626",
|
||||
"name": "Energy Policy Research Centre, Economic and Social Research Institute",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100014531",
|
||||
"uri": "http://dx.doi.org/10.13039/501100014531",
|
||||
"name": "Physical Education and Sport Sciences Department, University of Limerick",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100014745",
|
||||
"uri": "http://dx.doi.org/10.13039/501100014745",
|
||||
"name": "APC Microbiome Institute",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100014826",
|
||||
"uri": "http://dx.doi.org/10.13039/501100014826",
|
||||
"name": "ADAPT - Centre for Digital Content Technology",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100020570",
|
||||
"uri": "http://dx.doi.org/10.13039/501100020570",
|
||||
"name": "College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100020871",
|
||||
"uri": "http://dx.doi.org/10.13039/501100020871",
|
||||
"name": "Bernal Institute, University of Limerick",
|
||||
"synonym": []
|
||||
},
|
||||
{
|
||||
"id": "501100023852",
|
||||
"uri": "http://dx.doi.org/10.13039/501100023852",
|
||||
"name": "Moore Institute for Research in the Humanities and Social Studies, University of Galway",
|
||||
"synonym": []
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,44 @@
|
|||
<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>oozie.action.sharelib.for.spark</name>
|
||||
<value>spark2</value>
|
||||
</property>
|
||||
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
|
||||
<property>
|
||||
<name>spark2ExtraListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorAppListener</value>
|
||||
</property>
|
||||
|
||||
<property>
|
||||
<name>spark2SqlQueryExecutionListeners</name>
|
||||
<value>com.cloudera.spark.lineage.NavigatorQueryListener</value>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2YarnHistoryServerAddress</name>
|
||||
<value>http://iis-cdh5-test-gw.ocean.icm.edu.pl:18089 </value>
|
||||
</property>
|
||||
<property>
|
||||
<name>spark2EventLogDir</name>
|
||||
<value>/user/spark/spark2ApplicationHistory</value>
|
||||
</property>
|
||||
|
||||
|
||||
|
||||
</configuration>
|
||||
|
|
@ -0,0 +1,131 @@
|
|||
<workflow-app name="generate_crossref_Datasource" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>sourcePath</name>
|
||||
<description>The base path of Crossref DUMP </description>
|
||||
</property>
|
||||
<property>
|
||||
<name>unpaywallPath</name>
|
||||
<description>The base path of unpaywall DUMP </description>
|
||||
</property>
|
||||
<property>
|
||||
<name>isLookupUrl</name>
|
||||
<description>The Information service Lookup URL</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>mdStoreOutputId</name>
|
||||
<description>the identifier of the cleaned MDStore</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>mdStoreManagerURI</name>
|
||||
<description>the path of the cleaned mdstore</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<start to="StartTransaction"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
<action name="StartTransaction">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>NEW_VERSION</arg>
|
||||
<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
<capture-output/>
|
||||
</java>
|
||||
<ok to="generateOAF"/>
|
||||
<error to="EndReadRollBack"/>
|
||||
</action>
|
||||
|
||||
<action name="generateOAF">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Crossref TO OAF</name>
|
||||
<class>eu.dnetlib.dhp.collection.crossref.SparkMapDumpIntoOAF</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.executor.memoryOverhead=2g
|
||||
--conf spark.sql.shuffle.partitions=3000
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
</spark-opts>
|
||||
<arg>--sourcePath</arg><arg>${sourcePath}</arg>
|
||||
<arg>--unpaywallPath</arg><arg>${unpaywallPath}</arg>
|
||||
<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
|
||||
<arg>--isLookupUrl</arg><arg>${isLookupUrl}</arg>
|
||||
<arg>--master</arg><arg>yarn</arg>
|
||||
</spark>
|
||||
<ok to="CommitVersion"/>
|
||||
<error to="RollBack"/>
|
||||
</action>
|
||||
|
||||
<action name="CommitVersion">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>COMMIT</arg>
|
||||
<arg>--namenode</arg><arg>${nameNode}</arg>
|
||||
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
</java>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="EndReadRollBack">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>READ_UNLOCK</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
<arg>--readMDStoreId</arg><arg>${wf:actionData('BeginRead')['mdStoreReadLockVersion']}</arg>
|
||||
<capture-output/>
|
||||
</java>
|
||||
<ok to="RollBack"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="RollBack">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>ROLLBACK</arg>
|
||||
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
</java>
|
||||
<ok to="Kill"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
[
|
||||
{
|
||||
"paramName": "m",
|
||||
"paramLongName": "master",
|
||||
"paramDescription": "the master name",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "mo",
|
||||
"paramLongName": "mdstoreOutputVersion",
|
||||
"paramDescription": "The mdstore output",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ma",
|
||||
"paramLongName": "magBasePath",
|
||||
"paramDescription": "The mag Base path",
|
||||
"paramRequired": false
|
||||
}
|
||||
|
||||
]
|
||||
|
|
@ -0,0 +1,15 @@
|
|||
[
|
||||
{
|
||||
"paramName": "m",
|
||||
"paramLongName": "master",
|
||||
"paramDescription": "the master name",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "mp",
|
||||
"paramLongName": "magBasePath",
|
||||
"paramDescription": "The base path of MAG DUMP CSV Tables",
|
||||
"paramRequired": true
|
||||
}
|
||||
|
||||
]
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
[
|
||||
{
|
||||
"paramName": "m",
|
||||
"paramLongName": "master",
|
||||
"paramDescription": "the master name",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "o",
|
||||
"paramLongName": "outputPath",
|
||||
"paramDescription": "The as output Path",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "ma",
|
||||
"paramLongName": "magBasePath",
|
||||
"paramDescription": "The mag Base path",
|
||||
"paramRequired": false
|
||||
}
|
||||
|
||||
]
|
||||
|
|
@ -0,0 +1,23 @@
|
|||
<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>oozie.action.sharelib.for.spark</name>
|
||||
<value>spark2</value>
|
||||
</property>
|
||||
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
|
|
@ -0,0 +1,160 @@
|
|||
<workflow-app name="generate_MAG_Datasource" xmlns="uri:oozie:workflow:0.5">
|
||||
<parameters>
|
||||
<property>
|
||||
<name>magBasePath</name>
|
||||
<description>The base path of MAG DUMP CSV Tables</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>mdStoreOutputId</name>
|
||||
<description>the identifier of the cleaned MDStore</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>mdStoreManagerURI</name>
|
||||
<description>the path of the cleaned mdstore</description>
|
||||
</property>
|
||||
<property>
|
||||
<name>resume_from</name>
|
||||
<value>generateOAF</value>
|
||||
<description>start Node</description>
|
||||
</property>
|
||||
</parameters>
|
||||
|
||||
<start to="resume_from"/>
|
||||
|
||||
<kill name="Kill">
|
||||
<message>Action failed, error message[${wf:errorMessage(wf:lastErrorNode())}]</message>
|
||||
</kill>
|
||||
|
||||
|
||||
<decision name="resume_from">
|
||||
<switch>
|
||||
<case to="generateTable">${wf:conf('resume_from') eq 'generateTable'}</case>
|
||||
<default to="StartTransaction"/> <!-- first action to be done when downloadDump is to be performed -->
|
||||
</switch>
|
||||
</decision>
|
||||
|
||||
|
||||
<action name="generateTable">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>Generate MAG Table</name>
|
||||
<class>eu.dnetlib.dhp.collection.mag.SparkCreateMagDenormalizedTable</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.executor.memoryOverhead=2g
|
||||
--conf spark.sql.shuffle.partitions=3000
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
</spark-opts>
|
||||
<arg>--magBasePath</arg><arg>${magBasePath}</arg>
|
||||
<arg>--master</arg><arg>yarn</arg>
|
||||
</spark>
|
||||
<ok to="StartTransaction"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
<action name="StartTransaction">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>NEW_VERSION</arg>
|
||||
<arg>--mdStoreID</arg><arg>${mdStoreOutputId}</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
<capture-output/>
|
||||
</java>
|
||||
<ok to="generateOAF"/>
|
||||
<error to="EndReadRollBack"/>
|
||||
</action>
|
||||
|
||||
<action name="generateOAF">
|
||||
<spark xmlns="uri:oozie:spark-action:0.2">
|
||||
<master>yarn</master>
|
||||
<mode>cluster</mode>
|
||||
<name>MAG TO OAF</name>
|
||||
<class>eu.dnetlib.dhp.collection.mag.SparkMAGtoOAF</class>
|
||||
<jar>dhp-aggregation-${projectVersion}.jar</jar>
|
||||
<spark-opts>
|
||||
--executor-memory=${sparkExecutorMemory}
|
||||
--executor-cores=${sparkExecutorCores}
|
||||
--driver-memory=${sparkDriverMemory}
|
||||
--conf spark.executor.memoryOverhead=2g
|
||||
--conf spark.sql.shuffle.partitions=3000
|
||||
--conf spark.extraListeners=${spark2ExtraListeners}
|
||||
--conf spark.sql.queryExecutionListeners=${spark2SqlQueryExecutionListeners}
|
||||
--conf spark.yarn.historyServer.address=${spark2YarnHistoryServerAddress}
|
||||
--conf spark.eventLog.dir=${nameNode}${spark2EventLogDir}
|
||||
</spark-opts>
|
||||
<arg>--mdstoreOutputVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
|
||||
<arg>--magBasePath</arg><arg>${magBasePath}</arg>
|
||||
<arg>--master</arg><arg>yarn</arg>
|
||||
</spark>
|
||||
<ok to="CommitVersion"/>
|
||||
<error to="RollBack"/>
|
||||
</action>
|
||||
|
||||
<action name="CommitVersion">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>COMMIT</arg>
|
||||
<arg>--namenode</arg><arg>${nameNode}</arg>
|
||||
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
</java>
|
||||
<ok to="End"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="EndReadRollBack">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>READ_UNLOCK</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
<arg>--readMDStoreId</arg><arg>${wf:actionData('BeginRead')['mdStoreReadLockVersion']}</arg>
|
||||
<capture-output/>
|
||||
</java>
|
||||
<ok to="RollBack"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
<action name="RollBack">
|
||||
<java>
|
||||
<configuration>
|
||||
<property>
|
||||
<name>oozie.launcher.mapreduce.user.classpath.first</name>
|
||||
<value>true</value>
|
||||
</property>
|
||||
</configuration>
|
||||
<main-class>eu.dnetlib.dhp.aggregation.mdstore.MDStoreActionNode</main-class>
|
||||
<arg>--action</arg><arg>ROLLBACK</arg>
|
||||
<arg>--mdStoreVersion</arg><arg>${wf:actionData('StartTransaction')['mdStoreVersion']}</arg>
|
||||
<arg>--mdStoreManagerURI</arg><arg>${mdStoreManagerURI}</arg>
|
||||
</java>
|
||||
<ok to="Kill"/>
|
||||
<error to="Kill"/>
|
||||
</action>
|
||||
|
||||
|
||||
<end name="End"/>
|
||||
</workflow-app>
|
||||
File diff suppressed because it is too large
Load Diff
|
|
@ -0,0 +1,147 @@
|
|||
package eu.dnetlib.dhp.collection.crossref
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.AbstractScalaApplication
|
||||
import eu.dnetlib.dhp.collection.crossref.Crossref2Oaf.{TransformationType, mergeUnpayWall}
|
||||
import eu.dnetlib.dhp.common.Constants.MDSTORE_DATA_PATH
|
||||
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
|
||||
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, Result}
|
||||
import eu.dnetlib.dhp.utils.ISLookupClientFactory
|
||||
import org.apache.spark.sql._
|
||||
import org.apache.spark.sql.functions.{col, explode, lower}
|
||||
import org.apache.spark.sql.types._
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
class SparkMapDumpIntoOAF(propertyPath: String, args: Array[String], log: Logger)
|
||||
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
|
||||
|
||||
/** Here all the spark applications runs this method
|
||||
* where the whole logic of the spark node is defined
|
||||
*/
|
||||
override def run(): Unit = {
|
||||
val sourcePath = parser.get("sourcePath")
|
||||
log.info("sourcePath: {}", sourcePath)
|
||||
val unpaywallPath = parser.get("unpaywallPath")
|
||||
log.info("unpaywallPath: {}", unpaywallPath)
|
||||
val isLookupUrl: String = parser.get("isLookupUrl")
|
||||
log.info("isLookupUrl: {}", isLookupUrl)
|
||||
val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
|
||||
val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
|
||||
require(vocabularies != null)
|
||||
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
|
||||
log.info(s"mdstoreOutputVersion is '$mdstoreOutputVersion'")
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
val cleanedMdStoreVersion = mapper.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
|
||||
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
|
||||
log.info(s"outputBasePath is '$outputBasePath'")
|
||||
val targetPath = s"$outputBasePath$MDSTORE_DATA_PATH"
|
||||
log.info(s"targetPath is '$targetPath'")
|
||||
transformCrossref(spark, sourcePath, targetPath, unpaywallPath, vocabularies)
|
||||
reportTotalSize(targetPath, outputBasePath)
|
||||
}
|
||||
|
||||
def transformUnpayWall(spark: SparkSession, unpaywallPath: String, crossrefPath: String): Dataset[UnpayWall] = {
|
||||
val schema = new StructType()
|
||||
.add(StructField("doi", StringType))
|
||||
.add(StructField("is_oa", BooleanType))
|
||||
.add(
|
||||
StructField(
|
||||
"best_oa_location",
|
||||
new StructType()
|
||||
.add("host_type", StringType)
|
||||
.add("license", StringType)
|
||||
.add("url", StringType)
|
||||
)
|
||||
)
|
||||
.add("oa_status", StringType)
|
||||
|
||||
import spark.implicits._
|
||||
val cId = spark.read
|
||||
.schema(new StructType().add("DOI", StringType))
|
||||
.json(crossrefPath)
|
||||
.withColumn("doi", lower(col("DOI")))
|
||||
|
||||
val uw = spark.read
|
||||
.schema(schema)
|
||||
.json(unpaywallPath)
|
||||
.withColumn("doi", lower(col("doi")))
|
||||
.where("is_oa = true and best_oa_location.url is not null")
|
||||
|
||||
uw.join(cId, uw("doi") === cId("doi"), "leftsemi").as[UnpayWall].cache()
|
||||
|
||||
}
|
||||
|
||||
def transformCrossref(
|
||||
spark: SparkSession,
|
||||
sourcePath: String,
|
||||
targetPath: String,
|
||||
unpaywallPath: String,
|
||||
vocabularies: VocabularyGroup
|
||||
): Unit = {
|
||||
import spark.implicits._
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
implicit val oafEncoder: Encoder[Oaf] = Encoders.kryo(classOf[Oaf])
|
||||
implicit val resultEncoder: Encoder[Result] = Encoders.kryo(classOf[Result])
|
||||
|
||||
val dump: Dataset[String] = spark.read.text(sourcePath).as[String]
|
||||
dump
|
||||
.flatMap(s => Crossref2Oaf.convert(s, vocabularies, TransformationType.OnlyRelation))
|
||||
.as[Oaf]
|
||||
.map(r => mapper.writeValueAsString(r))
|
||||
.write
|
||||
.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.text(targetPath)
|
||||
val uw = transformUnpayWall(spark, unpaywallPath, sourcePath)
|
||||
val resultCrossref: Dataset[(String, Result)] = dump
|
||||
.flatMap(s => Crossref2Oaf.convert(s, vocabularies, TransformationType.OnlyResult))
|
||||
.as[Oaf]
|
||||
.map(r => r.asInstanceOf[Result])
|
||||
.map(r => (r.getPid.get(0).getValue, r))(Encoders.tuple(Encoders.STRING, resultEncoder))
|
||||
resultCrossref
|
||||
.joinWith(uw, resultCrossref("_1").equalTo(uw("doi")), "left")
|
||||
.map(k => {
|
||||
mergeUnpayWall(k._1._2, k._2)
|
||||
})
|
||||
.map(r => mapper.writeValueAsString(r))
|
||||
.as[Result]
|
||||
.write
|
||||
.mode(SaveMode.Append)
|
||||
.option("compression", "gzip")
|
||||
.text(s"$targetPath")
|
||||
|
||||
// Generate affiliation relations:
|
||||
spark.read
|
||||
.json(sourcePath)
|
||||
.select(col("DOI"), explode(col("author.affiliation")).alias("affiliations"))
|
||||
.select(col("DOI"), explode(col("affiliations.id")).alias("aids"))
|
||||
.where("aids is not null")
|
||||
.select(col("DOI"), explode(col("aids")).alias("aff"))
|
||||
.select(col("DOI"), col("aff.id").alias("id"), col("aff.id-type").alias("idType"))
|
||||
.where(col("idType").like("ROR"))
|
||||
.flatMap(r => Crossref2Oaf.generateAffliation(r))
|
||||
.write
|
||||
.mode(SaveMode.Append)
|
||||
.option("compression", "gzip")
|
||||
.text(s"$targetPath")
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
object SparkMapDumpIntoOAF {
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
val logger: Logger = LoggerFactory.getLogger(SparkMapDumpIntoOAF.getClass)
|
||||
|
||||
new SparkMapDumpIntoOAF(
|
||||
log = logger,
|
||||
args = args,
|
||||
propertyPath = "/eu/dnetlib/dhp/collection/crossref/convert_crossref_dump_to_oaf_params.json"
|
||||
).initialize().run()
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,778 @@
|
|||
package eu.dnetlib.dhp.collection.mag
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.action.AtomicAction
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils._
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.{OafMapperUtils, PidType}
|
||||
import eu.dnetlib.dhp.schema.oaf.{Author, DataInfo, Instance, Journal, Organization, Publication, Relation, Result, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import org.apache.spark.sql.types._
|
||||
import org.apache.spark.sql.{Dataset, Row, SparkSession}
|
||||
import org.json4s
|
||||
import org.json4s.DefaultFormats
|
||||
import org.json4s.jackson.JsonMethods.parse
|
||||
|
||||
import scala.collection.JavaConverters._
|
||||
|
||||
case class MAGPaper(
|
||||
paperId: Option[Long],
|
||||
doi: Option[String],
|
||||
docType: Option[String],
|
||||
paperTitle: Option[String],
|
||||
originalTitle: Option[String],
|
||||
bookTitle: Option[String],
|
||||
year: Option[Int],
|
||||
date: Option[String],
|
||||
onlineDate: Option[String],
|
||||
publisher: Option[String],
|
||||
journalId: Option[Long],
|
||||
journalName: Option[String],
|
||||
journalIssn: Option[String],
|
||||
journalPublisher: Option[String],
|
||||
conferenceSeriesId: Option[Long],
|
||||
conferenceInstanceId: Option[Long],
|
||||
conferenceName: Option[String],
|
||||
conferenceLocation: Option[String],
|
||||
conferenceStartDate: Option[String],
|
||||
conferenceEndDate: Option[String],
|
||||
volume: Option[String],
|
||||
issue: Option[String],
|
||||
firstPage: Option[String],
|
||||
lastPage: Option[String],
|
||||
referenceCount: Option[Long],
|
||||
citationCount: Option[Long],
|
||||
estimatedCitation: Option[Long],
|
||||
originalVenue: Option[String],
|
||||
familyId: Option[Long],
|
||||
familyRank: Option[Int],
|
||||
docSubTypes: Option[String],
|
||||
createdDate: Option[String],
|
||||
abstractText: Option[String],
|
||||
authors: Option[List[MAGAuthor]],
|
||||
urls: Option[List[String]]
|
||||
)
|
||||
|
||||
case class MAGAuthor(
|
||||
AffiliationId: Option[Long],
|
||||
AuthorSequenceNumber: Option[Int],
|
||||
AffiliationName: Option[String],
|
||||
AuthorName: Option[String],
|
||||
AuthorId: Option[Long],
|
||||
GridId: Option[String]
|
||||
)
|
||||
|
||||
object MagUtility extends Serializable {
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
private val MAGCollectedFrom = keyValue(ModelConstants.MAG_ID, ModelConstants.MAG_NAME)
|
||||
|
||||
private val MAGDataInfo: DataInfo = {
|
||||
val di = new DataInfo
|
||||
di.setDeletedbyinference(false)
|
||||
di.setInferred(false)
|
||||
di.setInvisible(false)
|
||||
di.setTrust("0.9")
|
||||
di.setProvenanceaction(
|
||||
OafMapperUtils.qualifier(
|
||||
ModelConstants.SYSIMPORT_ACTIONSET,
|
||||
ModelConstants.SYSIMPORT_ACTIONSET,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS
|
||||
)
|
||||
)
|
||||
di
|
||||
}
|
||||
|
||||
private val MAGDataInfoInvisible: DataInfo = {
|
||||
val di = new DataInfo
|
||||
di.setDeletedbyinference(false)
|
||||
di.setInferred(false)
|
||||
di.setInvisible(true)
|
||||
di.setTrust("0.9")
|
||||
di.setProvenanceaction(
|
||||
OafMapperUtils.qualifier(
|
||||
ModelConstants.SYSIMPORT_ACTIONSET,
|
||||
ModelConstants.SYSIMPORT_ACTIONSET,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS,
|
||||
ModelConstants.DNET_PROVENANCE_ACTIONS
|
||||
)
|
||||
)
|
||||
di
|
||||
}
|
||||
|
||||
val datatypedict = Map(
|
||||
"bool" -> BooleanType,
|
||||
"int" -> IntegerType,
|
||||
"uint" -> IntegerType,
|
||||
"long" -> LongType,
|
||||
"ulong" -> LongType,
|
||||
"float" -> FloatType,
|
||||
"string" -> StringType,
|
||||
"DateTime" -> DateType
|
||||
)
|
||||
|
||||
val stream: Map[String, (String, Seq[String])] = Map(
|
||||
"Affiliations" -> Tuple2(
|
||||
"mag/Affiliations.txt",
|
||||
Seq(
|
||||
"AffiliationId:long",
|
||||
"Rank:uint",
|
||||
"NormalizedName:string",
|
||||
"DisplayName:string",
|
||||
"GridId:string",
|
||||
"OfficialPage:string",
|
||||
"WikiPage:string",
|
||||
"PaperCount:long",
|
||||
"PaperFamilyCount:long",
|
||||
"CitationCount:long",
|
||||
"Iso3166Code:string",
|
||||
"Latitude:float?",
|
||||
"Longitude:float?",
|
||||
"CreatedDate:DateTime"
|
||||
)
|
||||
),
|
||||
"AuthorExtendedAttributes" -> Tuple2(
|
||||
"mag/AuthorExtendedAttributes.txt",
|
||||
Seq("AuthorId:long", "AttributeType:int", "AttributeValue:string")
|
||||
),
|
||||
"Authors" -> Tuple2(
|
||||
"mag/Authors.txt",
|
||||
Seq(
|
||||
"AuthorId:long",
|
||||
"Rank:uint",
|
||||
"NormalizedName:string",
|
||||
"DisplayName:string",
|
||||
"LastKnownAffiliationId:long?",
|
||||
"PaperCount:long",
|
||||
"PaperFamilyCount:long",
|
||||
"CitationCount:long",
|
||||
"CreatedDate:DateTime"
|
||||
)
|
||||
),
|
||||
"ConferenceInstances" -> Tuple2(
|
||||
"mag/ConferenceInstances.txt",
|
||||
Seq(
|
||||
"ConferenceInstanceId:long",
|
||||
"NormalizedName:string",
|
||||
"DisplayName:string",
|
||||
"ConferenceSeriesId:long",
|
||||
"Location:string",
|
||||
"OfficialUrl:string",
|
||||
"StartDate:DateTime?",
|
||||
"EndDate:DateTime?",
|
||||
"AbstractRegistrationDate:DateTime?",
|
||||
"SubmissionDeadlineDate:DateTime?",
|
||||
"NotificationDueDate:DateTime?",
|
||||
"FinalVersionDueDate:DateTime?",
|
||||
"PaperCount:long",
|
||||
"PaperFamilyCount:long",
|
||||
"CitationCount:long",
|
||||
"Latitude:float?",
|
||||
"Longitude:float?",
|
||||
"CreatedDate:DateTime"
|
||||
)
|
||||
),
|
||||
"ConferenceSeries" -> Tuple2(
|
||||
"mag/ConferenceSeries.txt",
|
||||
Seq(
|
||||
"ConferenceSeriesId:long",
|
||||
"Rank:uint",
|
||||
"NormalizedName:string",
|
||||
"DisplayName:string",
|
||||
"PaperCount:long",
|
||||
"PaperFamilyCount:long",
|
||||
"CitationCount:long",
|
||||
"CreatedDate:DateTime"
|
||||
)
|
||||
),
|
||||
"EntityRelatedEntities" -> Tuple2(
|
||||
"advanced/EntityRelatedEntities.txt",
|
||||
Seq(
|
||||
"EntityId:long",
|
||||
"EntityType:string",
|
||||
"RelatedEntityId:long",
|
||||
"RelatedEntityType:string",
|
||||
"RelatedType:int",
|
||||
"Score:float"
|
||||
)
|
||||
),
|
||||
"FieldOfStudyChildren" -> Tuple2(
|
||||
"advanced/FieldOfStudyChildren.txt",
|
||||
Seq("FieldOfStudyId:long", "ChildFieldOfStudyId:long")
|
||||
),
|
||||
"FieldOfStudyExtendedAttributes" -> Tuple2(
|
||||
"advanced/FieldOfStudyExtendedAttributes.txt",
|
||||
Seq("FieldOfStudyId:long", "AttributeType:int", "AttributeValue:string")
|
||||
),
|
||||
"FieldsOfStudy" -> Tuple2(
|
||||
"advanced/FieldsOfStudy.txt",
|
||||
Seq(
|
||||
"FieldOfStudyId:long",
|
||||
"Rank:uint",
|
||||
"NormalizedName:string",
|
||||
"DisplayName:string",
|
||||
"MainType:string",
|
||||
"Level:int",
|
||||
"PaperCount:long",
|
||||
"PaperFamilyCount:long",
|
||||
"CitationCount:long",
|
||||
"CreatedDate:DateTime"
|
||||
)
|
||||
),
|
||||
"Journals" -> Tuple2(
|
||||
"mag/Journals.txt",
|
||||
Seq(
|
||||
"JournalId:long",
|
||||
"Rank:uint",
|
||||
"NormalizedName:string",
|
||||
"DisplayName:string",
|
||||
"Issn:string",
|
||||
"Publisher:string",
|
||||
"Webpage:string",
|
||||
"PaperCount:long",
|
||||
"PaperFamilyCount:long",
|
||||
"CitationCount:long",
|
||||
"CreatedDate:DateTime"
|
||||
)
|
||||
),
|
||||
"PaperAbstractsInvertedIndex" -> Tuple2(
|
||||
"nlp/PaperAbstractsInvertedIndex.txt.*",
|
||||
Seq("PaperId:long", "IndexedAbstract:string")
|
||||
),
|
||||
"PaperAuthorAffiliations" -> Tuple2(
|
||||
"mag/PaperAuthorAffiliations.txt",
|
||||
Seq(
|
||||
"PaperId:long",
|
||||
"AuthorId:long",
|
||||
"AffiliationId:long?",
|
||||
"AuthorSequenceNumber:uint",
|
||||
"OriginalAuthor:string",
|
||||
"OriginalAffiliation:string"
|
||||
)
|
||||
),
|
||||
"PaperCitationContexts" -> Tuple2(
|
||||
"nlp/PaperCitationContexts.txt",
|
||||
Seq("PaperId:long", "PaperReferenceId:long", "CitationContext:string")
|
||||
),
|
||||
"PaperExtendedAttributes" -> Tuple2(
|
||||
"mag/PaperExtendedAttributes.txt",
|
||||
Seq("PaperId:long", "AttributeType:int", "AttributeValue:string")
|
||||
),
|
||||
"PaperFieldsOfStudy" -> Tuple2(
|
||||
"advanced/PaperFieldsOfStudy.txt",
|
||||
Seq("PaperId:long", "FieldOfStudyId:long", "Score:float")
|
||||
),
|
||||
"PaperMeSH" -> Tuple2(
|
||||
"advanced/PaperMeSH.txt",
|
||||
Seq(
|
||||
"PaperId:long",
|
||||
"DescriptorUI:string",
|
||||
"DescriptorName:string",
|
||||
"QualifierUI:string",
|
||||
"QualifierName:string",
|
||||
"IsMajorTopic:bool"
|
||||
)
|
||||
),
|
||||
"PaperRecommendations" -> Tuple2(
|
||||
"advanced/PaperRecommendations.txt",
|
||||
Seq("PaperId:long", "RecommendedPaperId:long", "Score:float")
|
||||
),
|
||||
"PaperReferences" -> Tuple2(
|
||||
"mag/PaperReferences.txt",
|
||||
Seq("PaperId:long", "PaperReferenceId:long")
|
||||
),
|
||||
"PaperResources" -> Tuple2(
|
||||
"mag/PaperResources.txt",
|
||||
Seq(
|
||||
"PaperId:long",
|
||||
"ResourceType:int",
|
||||
"ResourceUrl:string",
|
||||
"SourceUrl:string",
|
||||
"RelationshipType:int"
|
||||
)
|
||||
),
|
||||
"PaperUrls" -> Tuple2(
|
||||
"mag/PaperUrls.txt",
|
||||
Seq("PaperId:long", "SourceType:int?", "SourceUrl:string", "LanguageCode:string")
|
||||
),
|
||||
"Papers" -> Tuple2(
|
||||
"mag/Papers.txt",
|
||||
Seq(
|
||||
"PaperId:long",
|
||||
"Rank:uint",
|
||||
"Doi:string",
|
||||
"DocType:string",
|
||||
"PaperTitle:string",
|
||||
"OriginalTitle:string",
|
||||
"BookTitle:string",
|
||||
"Year:int?",
|
||||
"Date:DateTime?",
|
||||
"OnlineDate:DateTime?",
|
||||
"Publisher:string",
|
||||
"JournalId:long?",
|
||||
"ConferenceSeriesId:long?",
|
||||
"ConferenceInstanceId:long?",
|
||||
"Volume:string",
|
||||
"Issue:string",
|
||||
"FirstPage:string",
|
||||
"LastPage:string",
|
||||
"ReferenceCount:long",
|
||||
"CitationCount:long",
|
||||
"EstimatedCitation:long",
|
||||
"OriginalVenue:string",
|
||||
"FamilyId:long?",
|
||||
"FamilyRank:uint?",
|
||||
"DocSubTypes:string",
|
||||
"CreatedDate:DateTime"
|
||||
)
|
||||
),
|
||||
"RelatedFieldOfStudy" -> Tuple2(
|
||||
"advanced/RelatedFieldOfStudy.txt",
|
||||
Seq(
|
||||
"FieldOfStudyId1:long",
|
||||
"Type1:string",
|
||||
"FieldOfStudyId2:long",
|
||||
"Type2:string",
|
||||
"Rank:float"
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
def getSchema(streamName: String): StructType = {
|
||||
var schema = new StructType()
|
||||
val d: Seq[String] = stream(streamName)._2
|
||||
d.foreach { t =>
|
||||
val currentType = t.split(":")
|
||||
val fieldName: String = currentType.head
|
||||
var fieldType: String = currentType.last
|
||||
val nullable: Boolean = fieldType.endsWith("?")
|
||||
if (nullable)
|
||||
fieldType = fieldType.replace("?", "")
|
||||
schema = schema.add(StructField(fieldName, datatypedict(fieldType), nullable))
|
||||
}
|
||||
schema
|
||||
}
|
||||
|
||||
def loadMagEntity(spark: SparkSession, entity: String, basePath: String): Dataset[Row] = {
|
||||
if (stream.contains(entity)) {
|
||||
val s = getSchema(entity)
|
||||
val pt = stream(entity)._1
|
||||
spark.read
|
||||
.option("header", "false")
|
||||
.option("charset", "UTF8")
|
||||
.option("delimiter", "\t")
|
||||
.schema(s)
|
||||
.csv(s"$basePath/$pt")
|
||||
} else
|
||||
null
|
||||
|
||||
}
|
||||
|
||||
def createResultFromType(magType: Option[String], source: Option[String]): Result = {
|
||||
var result: Result = null
|
||||
|
||||
if (magType == null || magType.orNull == null) {
|
||||
result = new Publication
|
||||
result.setDataInfo(MAGDataInfo)
|
||||
val i = new Instance
|
||||
i.setInstancetype(
|
||||
qualifier(
|
||||
"0038",
|
||||
"Other literature type",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
)
|
||||
|
||||
result.setInstance(List(i).asJava)
|
||||
return result
|
||||
}
|
||||
|
||||
val currentType: String = magType.get
|
||||
|
||||
val tp = currentType.toLowerCase match {
|
||||
case "book" =>
|
||||
result = new Publication
|
||||
qualifier("0002", "Book", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE)
|
||||
case "bookchapter" =>
|
||||
result = new Publication
|
||||
qualifier(
|
||||
"00013",
|
||||
"Part of book or chapter of book",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
case "journal" =>
|
||||
result = new Publication
|
||||
qualifier("0043", "Journal", ModelConstants.DNET_PUBLICATION_RESOURCE, ModelConstants.DNET_PUBLICATION_RESOURCE)
|
||||
case "patent" =>
|
||||
if (source != null && source.orNull != null) {
|
||||
val s = source.get.toLowerCase
|
||||
if (s.contains("patent") || s.contains("brevet")) {
|
||||
result = new Publication
|
||||
qualifier(
|
||||
"0019",
|
||||
"Patent",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
} else if (s.contains("journal of")) {
|
||||
result = new Publication
|
||||
qualifier(
|
||||
"0043",
|
||||
"Journal",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
} else if (
|
||||
s.contains("proceedings") || s.contains("conference") || s.contains("workshop") || s.contains(
|
||||
"symposium"
|
||||
)
|
||||
) {
|
||||
result = new Publication
|
||||
qualifier(
|
||||
"0001",
|
||||
"Article",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
} else null
|
||||
} else null
|
||||
|
||||
case "repository" =>
|
||||
result = new Publication()
|
||||
result.setDataInfo(MAGDataInfoInvisible)
|
||||
qualifier(
|
||||
"0038",
|
||||
"Other literature type",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
|
||||
case "thesis" =>
|
||||
result = new Publication
|
||||
qualifier(
|
||||
"0044",
|
||||
"Thesis",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
case "dataset" =>
|
||||
result = new OafDataset
|
||||
qualifier(
|
||||
"0021",
|
||||
"Dataset",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
case "conference" =>
|
||||
result = new Publication
|
||||
qualifier(
|
||||
"0001",
|
||||
"Article",
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
}
|
||||
|
||||
if (result != null) {
|
||||
if (result.getDataInfo == null)
|
||||
result.setDataInfo(MAGDataInfo)
|
||||
val i = new Instance
|
||||
i.setInstancetype(tp)
|
||||
i.setInstanceTypeMapping(
|
||||
List(instanceTypeMapping(currentType, ModelConstants.OPENAIRE_COAR_RESOURCE_TYPES_3_1)).asJava
|
||||
)
|
||||
result.setInstance(List(i).asJava)
|
||||
}
|
||||
result
|
||||
|
||||
}
|
||||
|
||||
def convertMAGtoOAF(paper: MAGPaper): String = {
|
||||
|
||||
// FILTER all the MAG paper with no URL
|
||||
if (paper.urls.orNull == null)
|
||||
return null
|
||||
|
||||
val result = createResultFromType(paper.docType, paper.originalVenue)
|
||||
if (result == null)
|
||||
return null
|
||||
|
||||
result.setCollectedfrom(List(MAGCollectedFrom).asJava)
|
||||
val pidList = List(
|
||||
structuredProperty(
|
||||
paper.paperId.get.toString,
|
||||
qualifier(
|
||||
PidType.mag_id.toString,
|
||||
PidType.mag_id.toString,
|
||||
ModelConstants.DNET_PID_TYPES,
|
||||
ModelConstants.DNET_PID_TYPES
|
||||
),
|
||||
null
|
||||
)
|
||||
)
|
||||
|
||||
result.setPid(pidList.asJava)
|
||||
|
||||
result.setOriginalId(pidList.map(s => s.getValue).asJava)
|
||||
|
||||
result.setId(s"50|mag_________::${DHPUtils.md5(paper.paperId.get.toString)}")
|
||||
|
||||
val originalTitles = structuredProperty(paper.paperTitle.get, ModelConstants.MAIN_TITLE_QUALIFIER, null)
|
||||
|
||||
result.setTitle(List(originalTitles).asJava)
|
||||
|
||||
if (paper.date.orNull != null) {
|
||||
result.setDateofacceptance(field(paper.date.get, null))
|
||||
} else {
|
||||
if (paper.year.isDefined && paper.year.get > 1700) {
|
||||
result.setDateofacceptance(field(s"${paper.year.get}-01-01", null))
|
||||
}
|
||||
}
|
||||
|
||||
if (paper.onlineDate.orNull != null) {
|
||||
result.setRelevantdate(
|
||||
List(
|
||||
structuredProperty(
|
||||
paper.onlineDate.get,
|
||||
qualifier(
|
||||
"published-online",
|
||||
"published-online",
|
||||
ModelConstants.DNET_DATACITE_DATE,
|
||||
ModelConstants.DNET_DATACITE_DATE
|
||||
),
|
||||
null
|
||||
)
|
||||
).asJava
|
||||
)
|
||||
}
|
||||
|
||||
if (paper.publisher.orNull != null) {
|
||||
result.setPublisher(field(paper.publisher.get, null))
|
||||
}
|
||||
|
||||
if (paper.date.isDefined)
|
||||
result.setDateofacceptance(field(paper.date.get, null))
|
||||
if (paper.onlineDate.orNull != null)
|
||||
result.setRelevantdate(
|
||||
List(
|
||||
structuredProperty(
|
||||
paper.onlineDate.get,
|
||||
qualifier(
|
||||
"published-online",
|
||||
"published-online",
|
||||
ModelConstants.DNET_DATACITE_DATE,
|
||||
ModelConstants.DNET_DATACITE_DATE
|
||||
),
|
||||
null
|
||||
)
|
||||
).asJava
|
||||
)
|
||||
|
||||
if (paper.publisher.isDefined)
|
||||
result.setPublisher(field(paper.publisher.get, null))
|
||||
|
||||
if (paper.journalId.isDefined && paper.journalName.isDefined) {
|
||||
val j = new Journal
|
||||
|
||||
j.setName(paper.journalName.get)
|
||||
j.setSp(paper.firstPage.orNull)
|
||||
j.setEp(paper.lastPage.orNull)
|
||||
if (paper.publisher.isDefined)
|
||||
result.setPublisher(field(paper.publisher.get, null))
|
||||
j.setIssnPrinted(paper.journalIssn.orNull)
|
||||
j.setVol(paper.volume.orNull)
|
||||
j.setIss(paper.issue.orNull)
|
||||
j.setConferenceplace(paper.conferenceLocation.orNull)
|
||||
result match {
|
||||
case publication: Publication => publication.setJournal(j)
|
||||
}
|
||||
}
|
||||
|
||||
if (paper.abstractText.isDefined)
|
||||
result.setDescription(List(field(paper.abstractText.get, null)).asJava)
|
||||
if (paper.authors.isDefined && paper.authors.get.nonEmpty) {
|
||||
result.setAuthor(
|
||||
paper.authors.get
|
||||
.filter(a => a.AuthorName.isDefined)
|
||||
.map(a => {
|
||||
val author = new Author
|
||||
author.setFullname(a.AuthorName.get)
|
||||
author
|
||||
})
|
||||
.asJava
|
||||
)
|
||||
}
|
||||
|
||||
val instance = result.getInstance().get(0)
|
||||
instance.setPid(pidList.asJava)
|
||||
if (paper.doi.orNull != null)
|
||||
instance.setAlternateIdentifier(
|
||||
List(
|
||||
structuredProperty(
|
||||
paper.doi.get,
|
||||
qualifier(
|
||||
PidType.doi.toString,
|
||||
PidType.doi.toString,
|
||||
ModelConstants.DNET_PID_TYPES,
|
||||
ModelConstants.DNET_PID_TYPES
|
||||
),
|
||||
null
|
||||
)
|
||||
).asJava
|
||||
)
|
||||
instance.setUrl(paper.urls.get.asJava)
|
||||
instance.setHostedby(ModelConstants.UNKNOWN_REPOSITORY)
|
||||
instance.setCollectedfrom(MAGCollectedFrom)
|
||||
instance.setAccessright(
|
||||
accessRight(
|
||||
ModelConstants.UNKNOWN,
|
||||
ModelConstants.NOT_AVAILABLE,
|
||||
ModelConstants.DNET_ACCESS_MODES,
|
||||
ModelConstants.DNET_ACCESS_MODES
|
||||
)
|
||||
)
|
||||
|
||||
if (paper.authors.orNull != null && paper.authors.get.nonEmpty)
|
||||
result.setAuthor(
|
||||
paper.authors.get
|
||||
.filter(a => a.AuthorName.orNull != null)
|
||||
.map { a =>
|
||||
val author = new Author
|
||||
author.setFullname(a.AuthorName.get)
|
||||
var authorPid = List(
|
||||
structuredProperty(
|
||||
a.AuthorId.get.toString,
|
||||
qualifier(
|
||||
PidType.mag_id.toString,
|
||||
PidType.mag_id.toString,
|
||||
ModelConstants.DNET_PID_TYPES,
|
||||
ModelConstants.DNET_PID_TYPES
|
||||
),
|
||||
null
|
||||
)
|
||||
)
|
||||
if (a.GridId.orNull != null) {
|
||||
authorPid = authorPid ::: List(
|
||||
structuredProperty(
|
||||
a.AuthorId.get.toString,
|
||||
qualifier(
|
||||
PidType.mag_id.toString,
|
||||
PidType.mag_id.toString,
|
||||
ModelConstants.DNET_PID_TYPES,
|
||||
ModelConstants.DNET_PID_TYPES
|
||||
),
|
||||
null
|
||||
)
|
||||
)
|
||||
}
|
||||
author.setPid(authorPid.asJava)
|
||||
author
|
||||
}
|
||||
.asJava
|
||||
)
|
||||
mapper.writeValueAsString(result)
|
||||
|
||||
}
|
||||
|
||||
def generateOrganization(r: Row): String = {
|
||||
|
||||
val o = new Organization
|
||||
val affId = s"20|mag_________::${DHPUtils.md5(r.getAs[Long]("AffiliationId").toString)}"
|
||||
o.setId(affId)
|
||||
o.setDataInfo(MAGDataInfo)
|
||||
o.setCollectedfrom(List(MAGCollectedFrom).asJava)
|
||||
o.setLegalname(field(r.getAs[String]("DisplayName"), null))
|
||||
val gid = r.getAs[String]("GridId")
|
||||
if (gid != null) {
|
||||
o.setPid(List(
|
||||
structuredProperty(gid, qualifier(
|
||||
PidType.GRID.toString,
|
||||
PidType.GRID.toString,
|
||||
ModelConstants.DNET_PID_TYPES,
|
||||
ModelConstants.DNET_PID_TYPES
|
||||
),
|
||||
null),
|
||||
structuredProperty(r.getAs[Long]("AffiliationId").toString, qualifier(
|
||||
PidType.mag_id.toString,
|
||||
PidType.mag_id.toString,
|
||||
ModelConstants.DNET_PID_TYPES,
|
||||
ModelConstants.DNET_PID_TYPES
|
||||
),
|
||||
null)
|
||||
|
||||
).asJava)
|
||||
} else {
|
||||
o.setPid(List(
|
||||
structuredProperty(r.getAs[Long]("AffiliationId").toString, qualifier(
|
||||
PidType.mag_id.toString,
|
||||
PidType.mag_id.toString,
|
||||
ModelConstants.DNET_PID_TYPES,
|
||||
ModelConstants.DNET_PID_TYPES
|
||||
),
|
||||
null)
|
||||
).asJava)
|
||||
}
|
||||
val c = r.getAs[String]("Iso3166Code")
|
||||
if (c != null)
|
||||
o.setCountry(qualifier(c, c, "dnet:countries", "dnet:countries"))
|
||||
else
|
||||
o.setCountry(ModelConstants.UNKNOWN_COUNTRY)
|
||||
val ws = r.getAs[String]("OfficialPage")
|
||||
if (ws != null)
|
||||
o.setWebsiteurl(field(ws, null))
|
||||
val a = new AtomicAction[Organization]()
|
||||
a.setClazz(classOf[Organization])
|
||||
a.setPayload(o)
|
||||
mapper.writeValueAsString(a)
|
||||
}
|
||||
|
||||
def generateAffiliationRelations(paperAffiliation: Row): List[Relation] = {
|
||||
|
||||
val affId = s"20|mag_________::${DHPUtils.md5(paperAffiliation.getAs[Long]("AffiliationId").toString)}"
|
||||
val oafId = s"50|mag_________::${DHPUtils.md5(paperAffiliation.getAs[Long]("PaperId").toString)}"
|
||||
val r: Relation = new Relation
|
||||
r.setSource(oafId)
|
||||
r.setTarget(affId)
|
||||
r.setRelType(ModelConstants.RESULT_ORGANIZATION)
|
||||
r.setRelClass(ModelConstants.HAS_AUTHOR_INSTITUTION)
|
||||
r.setSubRelType(ModelConstants.AFFILIATION)
|
||||
r.setDataInfo(MAGDataInfo)
|
||||
r.setCollectedfrom(List(MAGCollectedFrom).asJava)
|
||||
val r1: Relation = new Relation
|
||||
r1.setTarget(oafId)
|
||||
r1.setSource(affId)
|
||||
r1.setRelType(ModelConstants.RESULT_ORGANIZATION)
|
||||
r1.setRelClass(ModelConstants.IS_AUTHOR_INSTITUTION_OF)
|
||||
r1.setSubRelType(ModelConstants.AFFILIATION)
|
||||
r1.setDataInfo(MAGDataInfo)
|
||||
r1.setCollectedfrom(List(MAGCollectedFrom).asJava)
|
||||
List(r, r1)
|
||||
|
||||
}
|
||||
|
||||
def convertInvertedIndexString(json_input: String): String = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
lazy val json: json4s.JValue = parse(json_input)
|
||||
val idl = (json \ "IndexLength").extract[Int]
|
||||
if (idl > 0) {
|
||||
val res = Array.ofDim[String](idl)
|
||||
|
||||
val iid = (json \ "InvertedIndex").extract[Map[String, List[Int]]]
|
||||
|
||||
for { (k: String, v: List[Int]) <- iid } {
|
||||
v.foreach(item => res(item) = k)
|
||||
}
|
||||
(0 until idl).foreach(i => {
|
||||
if (res(i) == null)
|
||||
res(i) = ""
|
||||
})
|
||||
return res.mkString(" ")
|
||||
}
|
||||
""
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,199 @@
|
|||
package eu.dnetlib.dhp.collection.mag
|
||||
|
||||
import eu.dnetlib.dhp.application.AbstractScalaApplication
|
||||
import org.apache.spark.sql.functions._
|
||||
import org.apache.spark.sql.types.{StringType, StructField, StructType}
|
||||
import org.apache.spark.sql.{Dataset, Row, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
class SparkCreateMagDenormalizedTable(propertyPath: String, args: Array[String], log: Logger)
|
||||
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
|
||||
|
||||
/** Here all the spark applications runs this method
|
||||
* where the whole logic of the spark node is defined
|
||||
*/
|
||||
override def run(): Unit = {
|
||||
val magBasePath: String = parser.get("magBasePath")
|
||||
log.info("found parameters magBasePath: {}", magBasePath)
|
||||
generatedDenormalizedMAGTable(spark, magBasePath)
|
||||
}
|
||||
|
||||
private def generatedDenormalizedMAGTable(
|
||||
spark: SparkSession,
|
||||
magBasePath: String
|
||||
): Unit = {
|
||||
|
||||
import spark.implicits._
|
||||
val schema: StructType = StructType(StructField("DOI", StringType) :: Nil)
|
||||
|
||||
//Filter all the MAG Papers that intersect with a Crossref DOI
|
||||
|
||||
val magPapers = MagUtility
|
||||
.loadMagEntity(spark, "Papers", magBasePath)
|
||||
.withColumn("Doi", lower(col("Doi")))
|
||||
|
||||
magPapers.cache()
|
||||
magPapers.count()
|
||||
//log.info("Create current abstract")
|
||||
|
||||
//Abstract is an inverted list, we define a function that convert in string the abstract and recreate
|
||||
// a table(PaperId, Abstract)
|
||||
val paperAbstract = MagUtility
|
||||
.loadMagEntity(spark, "PaperAbstractsInvertedIndex", magBasePath)
|
||||
.map(s => (s.getLong(0), MagUtility.convertInvertedIndexString(s.getString(1))))
|
||||
.withColumnRenamed("_1", "PaperId")
|
||||
.withColumnRenamed("_2", "Abstract")
|
||||
|
||||
//We define Step0 as the result of the Join between PaperIntersection and the PaperAbstract
|
||||
|
||||
val step0 = magPapers
|
||||
.join(paperAbstract, magPapers("PaperId") === paperAbstract("PaperId"), "left")
|
||||
.select(magPapers("*"), paperAbstract("Abstract"))
|
||||
.cache()
|
||||
|
||||
step0.count()
|
||||
|
||||
magPapers.unpersist()
|
||||
|
||||
// We have three table Author, Affiliation, and PaperAuthorAffiliation, in the
|
||||
//next step we create a table containing
|
||||
val authors = MagUtility.loadMagEntity(spark, "Authors", magBasePath)
|
||||
val affiliations = MagUtility.loadMagEntity(spark, "Affiliations", magBasePath)
|
||||
val paperAuthorAffiliations = MagUtility.loadMagEntity(spark, "PaperAuthorAffiliations", magBasePath)
|
||||
|
||||
val j1 = paperAuthorAffiliations
|
||||
.join(authors, paperAuthorAffiliations("AuthorId") === authors("AuthorId"), "inner")
|
||||
.select(
|
||||
col("PaperId"),
|
||||
col("AffiliationId"),
|
||||
col("AuthorSequenceNumber"),
|
||||
authors("DisplayName").alias("AuthorName"),
|
||||
authors("AuthorId")
|
||||
)
|
||||
|
||||
val paperAuthorAffiliationNormalized = j1
|
||||
.join(affiliations, j1("AffiliationId") === affiliations("AffiliationId"), "left")
|
||||
.select(j1("*"), affiliations("DisplayName").alias("AffiliationName"), affiliations("GridId"))
|
||||
.groupBy("PaperId")
|
||||
.agg(
|
||||
collect_list(
|
||||
struct("AffiliationId", "AuthorSequenceNumber", "AffiliationName", "AuthorName", "AuthorId", "GridId")
|
||||
).alias("authors")
|
||||
)
|
||||
val step1 = step0
|
||||
.join(paperAuthorAffiliationNormalized, step0("PaperId") === paperAuthorAffiliationNormalized("PaperId"), "left")
|
||||
.select(step0("*"), paperAuthorAffiliationNormalized("authors"))
|
||||
.cache()
|
||||
step1.count()
|
||||
|
||||
step0.unpersist()
|
||||
|
||||
val conference = MagUtility
|
||||
.loadMagEntity(spark, "ConferenceInstances", magBasePath)
|
||||
.select(
|
||||
$"ConferenceInstanceId",
|
||||
$"DisplayName".as("conferenceName"),
|
||||
$"Location".as("conferenceLocation"),
|
||||
$"StartDate".as("conferenceStartDate"),
|
||||
$"EndDate".as("conferenceEndDate")
|
||||
)
|
||||
|
||||
val step2 = step1
|
||||
.join(conference, step1("ConferenceInstanceId") === conference("ConferenceInstanceId"), "left")
|
||||
.select(
|
||||
step1("*"),
|
||||
conference("conferenceName"),
|
||||
conference("conferenceLocation"),
|
||||
conference("conferenceStartDate"),
|
||||
conference("conferenceEndDate")
|
||||
)
|
||||
.cache()
|
||||
step2.count()
|
||||
step1.unpersist()
|
||||
|
||||
val journals = MagUtility
|
||||
.loadMagEntity(spark, "Journals", magBasePath)
|
||||
.select(
|
||||
$"JournalId",
|
||||
$"DisplayName".as("journalName"),
|
||||
$"Issn".as("journalIssn"),
|
||||
$"Publisher".as("journalPublisher")
|
||||
)
|
||||
val step3 = step2
|
||||
.join(journals, step2("JournalId") === journals("JournalId"), "left")
|
||||
.select(
|
||||
step2("*"),
|
||||
journals("journalName"),
|
||||
journals("journalIssn"),
|
||||
journals("journalPublisher")
|
||||
)
|
||||
.cache
|
||||
step3.count()
|
||||
|
||||
val paper_urls = MagUtility
|
||||
.loadMagEntity(spark, "PaperUrls", magBasePath)
|
||||
.groupBy("PaperId")
|
||||
.agg(slice(collect_set("SourceUrl"), 1, 6).alias("urls"))
|
||||
.cache
|
||||
|
||||
paper_urls.count
|
||||
|
||||
step3
|
||||
.join(paper_urls, step3("PaperId") === paper_urls("PaperId"))
|
||||
.select(step3("*"), paper_urls("urls"))
|
||||
.select(
|
||||
$"PaperId".as("paperId"),
|
||||
$"Doi".as("doi"),
|
||||
$"DocType".as("docType"),
|
||||
$"PaperTitle".as("paperTitle"),
|
||||
$"OriginalTitle".as("originalTitle"),
|
||||
$"BookTitle".as("bookTitle"),
|
||||
$"Year".as("year"),
|
||||
$"Date".as("date"),
|
||||
$"OnlineDate".as("onlineDate"),
|
||||
$"Publisher".as("publisher"),
|
||||
$"JournalId".as("journalId"),
|
||||
$"ConferenceSeriesId".as("conferenceSeriesId"),
|
||||
$"ConferenceInstanceId".as("conferenceInstanceId"),
|
||||
$"Volume".as("volume"),
|
||||
$"Issue".as("issue"),
|
||||
$"FirstPage".as("firstPage"),
|
||||
$"LastPage".as("lastPage"),
|
||||
$"ReferenceCount".as("referenceCount"),
|
||||
$"CitationCount".as("citationCount"),
|
||||
$"EstimatedCitation".as("estimatedCitation"),
|
||||
$"OriginalVenue".as("originalVenue"),
|
||||
$"FamilyId".as("familyId"),
|
||||
$"FamilyRank".as("familyRank"),
|
||||
$"DocSubTypes".as("docSubTypes"),
|
||||
$"CreatedDate".as("createdDate"),
|
||||
$"Abstract".as("abstractText"),
|
||||
$"authors".as("authors"),
|
||||
$"conferenceName".as("conferenceName"),
|
||||
$"conferenceLocation".as("conferenceLocation"),
|
||||
$"conferenceStartDate".as("conferenceStartDate"),
|
||||
$"conferenceEndDate".as("conferenceEndDate"),
|
||||
$"journalName".as("journalName"),
|
||||
$"journalIssn".as("journalIssn"),
|
||||
$"journalPublisher".as("journalPublisher"),
|
||||
$"urls"
|
||||
)
|
||||
.write
|
||||
.mode("OverWrite")
|
||||
.save(s"$magBasePath/mag_denormalized")
|
||||
step3.unpersist()
|
||||
}
|
||||
}
|
||||
|
||||
object SparkCreateMagDenormalizedTable {
|
||||
|
||||
val log: Logger = LoggerFactory.getLogger(SparkCreateMagDenormalizedTable.getClass)
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
new SparkCreateMagDenormalizedTable(
|
||||
"/eu/dnetlib/dhp/collection/mag/create_MAG_denormalized_table_properties.json",
|
||||
args,
|
||||
log
|
||||
).initialize().run()
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,83 @@
|
|||
package eu.dnetlib.dhp.collection.mag
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.application.AbstractScalaApplication
|
||||
import eu.dnetlib.dhp.common.Constants.MDSTORE_DATA_PATH
|
||||
import eu.dnetlib.dhp.schema.mdstore.MDStoreVersion
|
||||
import eu.dnetlib.dhp.schema.oaf.Relation
|
||||
import org.apache.spark.sql.functions.col
|
||||
import org.apache.spark.sql.types.{ArrayType, StringType, StructField, StructType}
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
class SparkMAGtoOAF(propertyPath: String, args: Array[String], log: Logger)
|
||||
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
|
||||
|
||||
/** Here all the spark applications runs this method
|
||||
* where the whole logic of the spark node is defined
|
||||
*/
|
||||
override def run(): Unit = {
|
||||
val mdstoreOutputVersion = parser.get("mdstoreOutputVersion")
|
||||
log.info(s"mdstoreOutputVersion is '$mdstoreOutputVersion'")
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
val cleanedMdStoreVersion = mapper.readValue(mdstoreOutputVersion, classOf[MDStoreVersion])
|
||||
val outputBasePath = cleanedMdStoreVersion.getHdfsPath
|
||||
log.info(s"outputBasePath is '$outputBasePath'")
|
||||
val mdstorePath = s"$outputBasePath$MDSTORE_DATA_PATH"
|
||||
val magBasePath: String = parser.get("magBasePath")
|
||||
log.info("found parameters magBasePath: {}", magBasePath)
|
||||
convertMAG(spark, magBasePath, mdstorePath)
|
||||
generateAffiliations(spark, magBasePath, mdstorePath)
|
||||
reportTotalSize(mdstorePath, outputBasePath)
|
||||
}
|
||||
|
||||
def convertMAG(spark: SparkSession, magBasePath: String, mdStorePath: String): Unit = {
|
||||
import spark.implicits._
|
||||
|
||||
spark.read
|
||||
.load(s"$magBasePath/mag_denormalized")
|
||||
.as[MAGPaper]
|
||||
.map(s => MagUtility.convertMAGtoOAF(s))
|
||||
.filter(s => s != null)
|
||||
.write
|
||||
.option("compression", "gzip")
|
||||
.mode(SaveMode.Overwrite)
|
||||
.text(mdStorePath)
|
||||
|
||||
}
|
||||
|
||||
def generateAffiliations(spark: SparkSession, magBasePath: String, mdStorePath: String): Unit = {
|
||||
|
||||
implicit val relEncoder: Encoder[Relation] = Encoders.bean(classOf[Relation])
|
||||
val schema = new StructType()
|
||||
.add(StructField("id", StringType))
|
||||
.add(StructField("originalId", ArrayType(StringType)))
|
||||
val generatedMag =
|
||||
spark.read.schema(schema).json(mdStorePath).selectExpr("explode(originalId) as PaperId").distinct()
|
||||
val paperAuthorAffiliations = MagUtility
|
||||
.loadMagEntity(spark, "PaperAuthorAffiliations", magBasePath)
|
||||
.where(col("AffiliationId").isNotNull)
|
||||
.select("PaperId", "AffiliationId")
|
||||
.distinct
|
||||
paperAuthorAffiliations
|
||||
.join(generatedMag, paperAuthorAffiliations("PaperId") === generatedMag("PaperId"), "leftsemi")
|
||||
.flatMap(r => MagUtility.generateAffiliationRelations(r))
|
||||
.write
|
||||
.option("compression", "gzip")
|
||||
.mode(SaveMode.Append)
|
||||
.json(mdStorePath)
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
object SparkMAGtoOAF {
|
||||
|
||||
val log: Logger = LoggerFactory.getLogger(SparkMAGtoOAF.getClass)
|
||||
|
||||
def main(args: Array[String]): Unit = {
|
||||
new SparkMAGtoOAF("/eu/dnetlib/dhp/collection/mag/convert_MAG_to_OAF_properties.json", args, log)
|
||||
.initialize()
|
||||
.run()
|
||||
}
|
||||
}
|
||||
|
|
@ -0,0 +1,42 @@
|
|||
package eu.dnetlib.dhp.collection.mag
|
||||
|
||||
import eu.dnetlib.dhp.application.AbstractScalaApplication
|
||||
import eu.dnetlib.dhp.schema.action.AtomicAction
|
||||
import eu.dnetlib.dhp.schema.oaf.Organization
|
||||
import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
class SparkMagOrganizationAS (propertyPath: String, args: Array[String], log: Logger)
|
||||
extends AbstractScalaApplication(propertyPath, args, log: Logger) {
|
||||
|
||||
/** Here all the spark applications runs this method
|
||||
* where the whole logic of the spark node is defined
|
||||
*/
|
||||
override def run(): Unit = {
|
||||
val magBasePath:String = parser.get("magBasePath")
|
||||
log.info(s"magBasePath is $magBasePath")
|
||||
val outputPath:String = parser.get("outputPath")
|
||||
log.info(s"outputPath is $outputPath")
|
||||
generateAS(spark,magBasePath, outputPath)
|
||||
|
||||
}
|
||||
|
||||
def generateAS(spark:SparkSession, magBasePath:String,outputPath:String ):Unit = {
|
||||
import spark.implicits._
|
||||
val organizations = MagUtility.loadMagEntity(spark,"Affiliations", magBasePath)
|
||||
organizations.map(r => MagUtility.generateOrganization(r)).write.mode(SaveMode.Overwrite)
|
||||
.option("compression", "gzip")
|
||||
.text(outputPath)
|
||||
}
|
||||
}
|
||||
|
||||
object SparkMagOrganizationAS{
|
||||
|
||||
val log: Logger = LoggerFactory.getLogger(SparkMagOrganizationAS.getClass)
|
||||
def main(args: Array[String]): Unit = {
|
||||
new SparkMagOrganizationAS("/eu/dnetlib/dhp/collection/mag/create_organization_AS.json", args, log)
|
||||
.initialize()
|
||||
.run()
|
||||
|
||||
}
|
||||
}
|
||||
|
|
@ -46,20 +46,6 @@ class GenerateDataciteDatasetSpark(propertyPath: String, args: Array[String], lo
|
|||
reportTotalSize(targetPath, outputBasePath)
|
||||
}
|
||||
|
||||
/** For working with MDStore we need to store in a file on hdfs the size of
|
||||
* the current dataset
|
||||
* @param targetPath
|
||||
* @param outputBasePath
|
||||
*/
|
||||
def reportTotalSize(targetPath: String, outputBasePath: String): Unit = {
|
||||
val total_items = spark.read.text(targetPath).count()
|
||||
writeHdfsFile(
|
||||
spark.sparkContext.hadoopConfiguration,
|
||||
s"$total_items",
|
||||
outputBasePath + MDSTORE_SIZE_PATH
|
||||
)
|
||||
}
|
||||
|
||||
/** Generate the transformed and cleaned OAF Dataset from the native one
|
||||
*
|
||||
* @param sourcePath sourcePath of the native Dataset in format JSON/Datacite
|
||||
|
|
|
|||
|
|
@ -0,0 +1,849 @@
|
|||
{
|
||||
"URL": "http://dx.doi.org/10.1016/j.joca.2019.11.002",
|
||||
"resource": {
|
||||
"primary": {
|
||||
"URL": "https://linkinghub.elsevier.com/retrieve/pii/S106345841931266X"
|
||||
}
|
||||
},
|
||||
"member": "78",
|
||||
"score": 0.0,
|
||||
"created": {
|
||||
"date-parts": [
|
||||
[
|
||||
2019,
|
||||
11,
|
||||
14
|
||||
]
|
||||
],
|
||||
"date-time": "2019-11-14T18:08:38Z",
|
||||
"timestamp": 1573754918000
|
||||
},
|
||||
"update-policy": "http://dx.doi.org/10.1016/elsevier_cm_policy",
|
||||
"license": [
|
||||
{
|
||||
"start": {
|
||||
"date-parts": [
|
||||
[
|
||||
2020,
|
||||
5,
|
||||
1
|
||||
]
|
||||
],
|
||||
"date-time": "2020-05-01T00:00:00Z",
|
||||
"timestamp": 1588291200000
|
||||
},
|
||||
"content-version": "tdm",
|
||||
"delay-in-days": 0,
|
||||
"URL": "https://www.elsevier.com/tdm/userlicense/1.0/"
|
||||
},
|
||||
{
|
||||
"start": {
|
||||
"date-parts": [
|
||||
[
|
||||
2021,
|
||||
5,
|
||||
1
|
||||
]
|
||||
],
|
||||
"date-time": "2021-05-01T00:00:00Z",
|
||||
"timestamp": 1619827200000
|
||||
},
|
||||
"content-version": "vor",
|
||||
"delay-in-days": 365,
|
||||
"URL": "http://www.elsevier.com/open-access/userlicense/1.0/"
|
||||
}
|
||||
],
|
||||
"ISSN": [
|
||||
"1063-4584"
|
||||
],
|
||||
"container-title": [
|
||||
"Osteoarthritis and Cartilage"
|
||||
],
|
||||
"issued": {
|
||||
"date-parts": [
|
||||
[
|
||||
2020,
|
||||
5
|
||||
]
|
||||
]
|
||||
},
|
||||
"issue": "5",
|
||||
"prefix": "10.1016",
|
||||
"reference-count": 50,
|
||||
"indexed": {
|
||||
"date-parts": [
|
||||
[
|
||||
2024,
|
||||
2,
|
||||
27
|
||||
]
|
||||
],
|
||||
"date-time": "2024-02-27T00:38:44Z",
|
||||
"timestamp": 1708994324729
|
||||
},
|
||||
"author": [
|
||||
{
|
||||
"given": "N.",
|
||||
"family": "Sharma",
|
||||
"sequence": "first",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "P.",
|
||||
"family": "Drobinski",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "A.",
|
||||
"family": "Kayed",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "Z.",
|
||||
"family": "Chen",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "C.F.",
|
||||
"family": "Kjelgaard-Petersen",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "T.",
|
||||
"family": "Gantzel",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "M.A.",
|
||||
"family": "Karsdal",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "M.",
|
||||
"family": "Michaelis",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "C.",
|
||||
"family": "Ladel",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "A.C.",
|
||||
"family": "Bay-Jensen",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "S.",
|
||||
"family": "Lindemann",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
},
|
||||
{
|
||||
"given": "C.S.",
|
||||
"family": "Thudium",
|
||||
"sequence": "additional",
|
||||
"affiliation": []
|
||||
}
|
||||
],
|
||||
"DOI": "10.1016/j.joca.2019.11.002",
|
||||
"is-referenced-by-count": 27,
|
||||
"funder": [
|
||||
{
|
||||
"DOI": "10.13039/501100001732",
|
||||
"name": "Danmarks Grundforskningsfond",
|
||||
"doi-asserted-by": "publisher"
|
||||
}
|
||||
],
|
||||
"published": {
|
||||
"date-parts": [
|
||||
[
|
||||
2020,
|
||||
5
|
||||
]
|
||||
]
|
||||
},
|
||||
"published-print": {
|
||||
"date-parts": [
|
||||
[
|
||||
2020,
|
||||
5
|
||||
]
|
||||
]
|
||||
},
|
||||
"alternative-id": [
|
||||
"S106345841931266X"
|
||||
],
|
||||
"subject": [
|
||||
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|
||||
"author": "He",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib38",
|
||||
"DOI": "10.1186/1471-2474-15-309",
|
||||
"article-title": "Type X collagen levels are elevated in serum from human osteoarthritis patients and associated with biomarkers of cartilage degradation and inflammation",
|
||||
"year": "2014",
|
||||
"volume": "15",
|
||||
"journal-title": "BMC Muscoskelet Disord"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "1",
|
||||
"issue": "1",
|
||||
"author": "Bay-Jensen",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib39",
|
||||
"DOI": "10.1371/journal.pone.0054504",
|
||||
"article-title": "Circulating protein fragments of cartilage and connective tissue degradation are diagnostic and prognostic markers of rheumatoid arthritis and ankylosing spondylitis",
|
||||
"year": "2013",
|
||||
"volume": "8",
|
||||
"journal-title": "PLoS One"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "44",
|
||||
"issue": "1",
|
||||
"author": "Siebuhr",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib40",
|
||||
"DOI": "10.1016/j.joca.2013.10.020",
|
||||
"article-title": "Identification and characterisation of osteoarthritis patients with inflammation derived tissue turnover",
|
||||
"year": "2014",
|
||||
"volume": "22",
|
||||
"journal-title": "Osteoarthr Cartil"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "221",
|
||||
"issue": "3",
|
||||
"author": "Yuji Yoshida",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib41",
|
||||
"DOI": "10.1016/0306-9877(88)90147-8",
|
||||
"article-title": "Interleukin 6 and rheumatoid arthritis",
|
||||
"year": "1988",
|
||||
"volume": "27",
|
||||
"journal-title": "Med Hypotheses"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "5173",
|
||||
"issue": "22",
|
||||
"author": "Suthaus",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib42",
|
||||
"DOI": "10.1182/blood-2011-09-377705",
|
||||
"article-title": "HHV8 encoded viral IL-6 collaborates with mouse IL-6 in MCD-like development in mice",
|
||||
"year": "2012",
|
||||
"volume": "119",
|
||||
"journal-title": "Blood"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "1",
|
||||
"issue": "1",
|
||||
"author": "Zhou",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib43",
|
||||
"DOI": "10.1186/s12974-016-0607-6",
|
||||
"article-title": "Interleukin-6: an emerging regulator of pathological pain",
|
||||
"year": "2016",
|
||||
"volume": "13",
|
||||
"journal-title": "J Neuroinflammation"
|
||||
},
|
||||
{
|
||||
"key": "10.1016/j.joca.2019.11.002_bib44",
|
||||
"series-title": "Local Translation and Retrograde Axonal Transport of Creb Regulates Il-6-Induced Nociceptive Plasticity",
|
||||
"first-page": "1",
|
||||
"author": "Melemedjian",
|
||||
"year": "2014"
|
||||
},
|
||||
{
|
||||
"issue": "6",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib45",
|
||||
"first-page": "1149",
|
||||
"article-title": "Aggrecanase and Aggrecan degradation in osteoarthritis: a review",
|
||||
"volume": "36",
|
||||
"author": "Huang",
|
||||
"year": "2008",
|
||||
"journal-title": "J Int Med Res"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "133",
|
||||
"issue": "1",
|
||||
"author": "Troeberg",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib46",
|
||||
"DOI": "10.1016/j.bbapap.2011.06.020",
|
||||
"article-title": "Proteases involved in cartilage matrix degradation in osteoarthritis",
|
||||
"year": "2012",
|
||||
"volume": "1824",
|
||||
"journal-title": "Biochim Biophys Acta Protein Proteonomics"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "1633",
|
||||
"issue": "11",
|
||||
"author": "Zhang",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib47",
|
||||
"DOI": "10.1136/ard.2007.079574",
|
||||
"article-title": "Differential Toll-like receptor-dependent collagenase expression in chondrocytes",
|
||||
"year": "2008",
|
||||
"volume": "67",
|
||||
"journal-title": "Ann Rheum Dis"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "2152",
|
||||
"issue": "7",
|
||||
"author": "Kim",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib48",
|
||||
"DOI": "10.1002/art.21951",
|
||||
"article-title": "The catabolic pathway mediated by toll-like receptors in human osteoarthritic chondrocytes",
|
||||
"year": "2006",
|
||||
"volume": "54",
|
||||
"journal-title": "Arthritis Rheum"
|
||||
},
|
||||
{
|
||||
"issue": "2018",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib49",
|
||||
"article-title": "The anti-ADAMTS-5 nanobody®, M6495, protects against cartilage breakdown in cartilage and synovial joint tissue explant models",
|
||||
"volume": "26",
|
||||
"author": "Siebuhr",
|
||||
"year": "2018",
|
||||
"journal-title": "Osteoarthr Cartil"
|
||||
},
|
||||
{
|
||||
"doi-asserted-by": "crossref",
|
||||
"first-page": "2933",
|
||||
"issue": "11",
|
||||
"author": "Miller",
|
||||
"key": "10.1016/j.joca.2019.11.002_bib50",
|
||||
"DOI": "10.1002/art.39291",
|
||||
"article-title": "Damage-associated molecular patterns generated in osteoarthritis directly excite murine nociceptive neurons through toll-like receptor 4",
|
||||
"year": "2015",
|
||||
"volume": "67",
|
||||
"journal-title": "Arthritis Rheum"
|
||||
}
|
||||
],
|
||||
"title": [
|
||||
"Inflammation and joint destruction may be linked to the generation of cartilage metabolites of ADAMTS-5 through activation of toll-like receptors"
|
||||
],
|
||||
"link": [
|
||||
{
|
||||
"URL": "https://api.elsevier.com/content/article/PII:S106345841931266X?httpAccept=text/xml",
|
||||
"content-type": "text/xml",
|
||||
"content-version": "vor",
|
||||
"intended-application": "text-mining"
|
||||
},
|
||||
{
|
||||
"URL": "https://api.elsevier.com/content/article/PII:S106345841931266X?httpAccept=text/plain",
|
||||
"content-type": "text/plain",
|
||||
"content-version": "vor",
|
||||
"intended-application": "text-mining"
|
||||
}
|
||||
],
|
||||
"source": "Crossref",
|
||||
"type": "journal-article",
|
||||
"publisher": "Elsevier BV",
|
||||
"journal-issue": {
|
||||
"issue": "5",
|
||||
"published-print": {
|
||||
"date-parts": [
|
||||
[
|
||||
2020,
|
||||
5
|
||||
]
|
||||
]
|
||||
}
|
||||
},
|
||||
"volume": "28",
|
||||
"references-count": 50,
|
||||
"issn-type": [
|
||||
|
||||
{
|
||||
"value": "2227-9717",
|
||||
"type": "electronic"
|
||||
},
|
||||
{
|
||||
"value": "VALUE",
|
||||
"type": "PIPPO"
|
||||
},
|
||||
{
|
||||
"value": "1063-4584",
|
||||
"type": "pu"
|
||||
}
|
||||
],
|
||||
"assertion": [
|
||||
{
|
||||
"value": "Elsevier",
|
||||
"name": "publisher",
|
||||
"label": "This article is maintained by"
|
||||
},
|
||||
{
|
||||
"value": "Inflammation and joint destruction may be linked to the generation of cartilage metabolites of ADAMTS-5 through activation of toll-like receptors",
|
||||
"name": "articletitle",
|
||||
"label": "Article Title"
|
||||
},
|
||||
{
|
||||
"value": "Osteoarthritis and Cartilage",
|
||||
"name": "journaltitle",
|
||||
"label": "Journal Title"
|
||||
},
|
||||
{
|
||||
"value": "https://doi.org/10.1016/j.joca.2019.11.002",
|
||||
"name": "articlelink",
|
||||
"label": "CrossRef DOI link to publisher maintained version"
|
||||
},
|
||||
{
|
||||
"value": "article",
|
||||
"name": "content_type",
|
||||
"label": "Content Type"
|
||||
},
|
||||
{
|
||||
"value": "© 2019 Osteoarthritis Research Society International. Published by Elsevier Ltd.",
|
||||
"name": "copyright",
|
||||
"label": "Copyright"
|
||||
}
|
||||
],
|
||||
"deposited": {
|
||||
"date-parts": [
|
||||
[
|
||||
2022,
|
||||
7,
|
||||
9
|
||||
]
|
||||
],
|
||||
"date-time": "2022-07-09T14:08:02Z",
|
||||
"timestamp": 1657375682000
|
||||
},
|
||||
"language": "en",
|
||||
"page": "658-668",
|
||||
"short-container-title": [
|
||||
"Osteoarthritis and Cartilage"
|
||||
]
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
|
|
@ -0,0 +1,21 @@
|
|||
package eu.dnetlib.dhp.collection.crossref
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
|
||||
import org.junit.jupiter.api.BeforeEach
|
||||
import org.junit.jupiter.api.extension.ExtendWith
|
||||
import org.mockito.junit.jupiter.MockitoExtension
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
@ExtendWith(Array(classOf[MockitoExtension]))
|
||||
class CrossrefMappingTest extends AbstractVocabularyTest {
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
@BeforeEach
|
||||
def setUp(): Unit = {
|
||||
super.setUpVocabulary()
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -0,0 +1,85 @@
|
|||
package eu.dnetlib.dhp.collection.mag
|
||||
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import eu.dnetlib.dhp.schema.oaf.{Dataset, Publication, Result}
|
||||
import org.apache.spark.sql.SparkSession
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
|
||||
class MAGMappingTest {
|
||||
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
|
||||
def mappingTest(): Unit = {
|
||||
|
||||
val spark = SparkSession
|
||||
.builder()
|
||||
.appName("Test")
|
||||
.master("local[*]")
|
||||
.getOrCreate()
|
||||
|
||||
val s = new SparkMagOrganizationAS(null, null, null)
|
||||
|
||||
s.generateAS(spark, "/home/sandro/Downloads/mag_test", "/home/sandro/Downloads/mag_AS")
|
||||
|
||||
}
|
||||
|
||||
@Test
|
||||
def mappingMagType(): Unit = {
|
||||
|
||||
checkResult[Publication](MagUtility.createResultFromType(null, null), invisible = false, "Other literature type")
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("BookChapter"), null),
|
||||
invisible = false,
|
||||
"Part of book or chapter of book"
|
||||
)
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Book"), null), invisible = false, "Book")
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Repository"), null),
|
||||
invisible = true,
|
||||
"Other literature type"
|
||||
)
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Thesis"), null), invisible = false, "Thesis")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Conference"), null), invisible = false, "Article")
|
||||
checkResult[Publication](MagUtility.createResultFromType(Some("Journal"), null), invisible = false, "Journal")
|
||||
checkResult[Dataset](MagUtility.createResultFromType(Some("Dataset"), null), invisible = false, "Dataset")
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Patent Department of the Navy")),
|
||||
invisible = false,
|
||||
"Patent"
|
||||
)
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Brevet Department of the Navy")),
|
||||
invisible = false,
|
||||
"Patent"
|
||||
)
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Journal of the Navy")),
|
||||
invisible = false,
|
||||
"Journal"
|
||||
)
|
||||
checkResult[Publication](
|
||||
MagUtility.createResultFromType(Some("Patent"), Some("Proceedings of the Navy")),
|
||||
invisible = false,
|
||||
"Article"
|
||||
)
|
||||
checkResult[Dataset](MagUtility.createResultFromType(Some("Dataset"), null), invisible = false, "Dataset")
|
||||
assertNull(MagUtility.createResultFromType(Some("Patent"), null))
|
||||
assertNull(MagUtility.createResultFromType(Some("Patent"), Some("Some name ")))
|
||||
}
|
||||
|
||||
def checkResult[T](r: Result, invisible: Boolean, typeName: String): Unit = {
|
||||
|
||||
assertNotNull(r)
|
||||
assertTrue(r.isInstanceOf[T])
|
||||
assertNotNull(r.getDataInfo)
|
||||
assertEquals(invisible, r.getDataInfo.getInvisible)
|
||||
assertNotNull(r.getInstance())
|
||||
assertTrue(r.getInstance().size() > 0)
|
||||
assertNotNull(r.getInstance().get(0).getInstancetype)
|
||||
assertEquals(typeName, r.getInstance().get(0).getInstancetype.getClassname)
|
||||
|
||||
}
|
||||
|
||||
}
|
||||
|
|
@ -1,6 +1,26 @@
|
|||
[
|
||||
{"paramName":"t", "paramLongName":"targetPath", "paramDescription": "the path of the OAF Orcid transformed", "paramRequired": true},
|
||||
{"paramName":"s", "paramLongName":"sourcePath", "paramDescription": "the source path ", "paramRequired": false},
|
||||
{"paramName":"m", "paramLongName":"master", "paramDescription": "the master name", "paramRequired": true}
|
||||
|
||||
{
|
||||
"paramName": "t",
|
||||
"paramLongName": "targetPath",
|
||||
"paramDescription": "the path of the OAF Orcid transformed",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "i",
|
||||
"paramLongName": "isLookupUrl",
|
||||
"paramDescription": "the isLookup URL",
|
||||
"paramRequired": true
|
||||
},
|
||||
{
|
||||
"paramName": "s",
|
||||
"paramLongName": "sourcePath",
|
||||
"paramDescription": "the source path ",
|
||||
"paramRequired": false
|
||||
},
|
||||
{
|
||||
"paramName": "m",
|
||||
"paramLongName": "master",
|
||||
"paramDescription": "the master name",
|
||||
"paramRequired": true
|
||||
}
|
||||
]
|
||||
|
|
@ -1,5 +1,6 @@
|
|||
package eu.dnetlib.doiboost.crossref
|
||||
|
||||
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf._
|
||||
import eu.dnetlib.dhp.schema.oaf.utils.{GraphCleaningFunctions, IdentifierFactory, OafMapperUtils}
|
||||
|
|
@ -47,59 +48,6 @@ case object Crossref2Oaf {
|
|||
json.extract[List[funderInfo]]
|
||||
}
|
||||
|
||||
val mappingCrossrefType = Map(
|
||||
"book-section" -> "publication",
|
||||
"book" -> "publication",
|
||||
"book-chapter" -> "publication",
|
||||
"book-part" -> "publication",
|
||||
"book-series" -> "publication",
|
||||
"book-set" -> "publication",
|
||||
"book-track" -> "publication",
|
||||
"edited-book" -> "publication",
|
||||
"reference-book" -> "publication",
|
||||
"monograph" -> "publication",
|
||||
"journal-article" -> "publication",
|
||||
"dissertation" -> "publication",
|
||||
"other" -> "publication",
|
||||
"peer-review" -> "publication",
|
||||
"proceedings" -> "publication",
|
||||
"proceedings-article" -> "publication",
|
||||
"reference-entry" -> "publication",
|
||||
"report" -> "publication",
|
||||
"report-series" -> "publication",
|
||||
"standard" -> "publication",
|
||||
"standard-series" -> "publication",
|
||||
"posted-content" -> "publication",
|
||||
"dataset" -> "dataset"
|
||||
)
|
||||
|
||||
val mappingCrossrefSubType = Map(
|
||||
"book-section" -> "0013 Part of book or chapter of book",
|
||||
"book" -> "0002 Book",
|
||||
"book-chapter" -> "0013 Part of book or chapter of book",
|
||||
"book-part" -> "0013 Part of book or chapter of book",
|
||||
"book-series" -> "0002 Book",
|
||||
"book-set" -> "0002 Book",
|
||||
"book-track" -> "0002 Book",
|
||||
"edited-book" -> "0002 Book",
|
||||
"reference-book" -> "0002 Book",
|
||||
"monograph" -> "0002 Book",
|
||||
"journal-article" -> "0001 Article",
|
||||
"dissertation" -> "0044 Thesis",
|
||||
"other" -> "0038 Other literature type",
|
||||
"peer-review" -> "0015 Review",
|
||||
"proceedings" -> "0004 Conference object",
|
||||
"proceedings-article" -> "0004 Conference object",
|
||||
"reference-entry" -> "0013 Part of book or chapter of book",
|
||||
"report" -> "0017 Report",
|
||||
"report-series" -> "0017 Report",
|
||||
"standard" -> "0038 Other literature type",
|
||||
"standard-series" -> "0038 Other literature type",
|
||||
"dataset" -> "0021 Dataset",
|
||||
"preprint" -> "0016 Preprint",
|
||||
"report" -> "0017 Report"
|
||||
)
|
||||
|
||||
def getIrishId(doi: String): Option[String] = {
|
||||
val id = doi.split("/").last
|
||||
irishFunder
|
||||
|
|
@ -107,7 +55,7 @@ case object Crossref2Oaf {
|
|||
.map(f => f.id)
|
||||
}
|
||||
|
||||
def mappingResult(result: Result, json: JValue, cobjCategory: String, originalType: String): Result = {
|
||||
def mappingResult(result: Result, json: JValue, instanceType: Qualifier, originalType: String): Result = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
|
||||
//MAPPING Crossref DOI into PID
|
||||
|
|
@ -275,27 +223,20 @@ case object Crossref2Oaf {
|
|||
instance.setAccessright(
|
||||
decideAccessRight(instance.getLicense, result.getDateofacceptance.getValue)
|
||||
)
|
||||
instance.setInstancetype(
|
||||
OafMapperUtils.qualifier(
|
||||
cobjCategory.substring(0, 4),
|
||||
cobjCategory.substring(5),
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
)
|
||||
instance.setInstancetype(instanceType)
|
||||
//ADD ORIGINAL TYPE to the mapping
|
||||
val itm = new InstanceTypeMapping
|
||||
itm.setOriginalType(originalType)
|
||||
itm.setVocabularyName(ModelConstants.OPENAIRE_COAR_RESOURCE_TYPES_3_1)
|
||||
instance.setInstanceTypeMapping(List(itm).asJava)
|
||||
result.setResourcetype(
|
||||
OafMapperUtils.qualifier(
|
||||
cobjCategory.substring(0, 4),
|
||||
cobjCategory.substring(5),
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
)
|
||||
)
|
||||
// result.setResourcetype(
|
||||
// OafMapperUtils.qualifier(
|
||||
// cobjCategory.substring(0, 4),
|
||||
// cobjCategory.substring(5),
|
||||
// ModelConstants.DNET_PUBLICATION_RESOURCE,
|
||||
// ModelConstants.DNET_PUBLICATION_RESOURCE
|
||||
// )
|
||||
// )
|
||||
|
||||
instance.setCollectedfrom(createCrossrefCollectedFrom())
|
||||
if (StringUtils.isNotBlank(issuedDate)) {
|
||||
|
|
@ -354,7 +295,40 @@ case object Crossref2Oaf {
|
|||
a
|
||||
}
|
||||
|
||||
def convert(input: String): List[Oaf] = {
|
||||
/** *
|
||||
* Use the vocabulary dnet:publication_resource to find a synonym to one of these terms and get the instance.type.
|
||||
* Using the dnet:result_typologies vocabulary, we look up the instance.type synonym
|
||||
* to generate one of the following main entities:
|
||||
* - publication
|
||||
* - dataset
|
||||
* - software
|
||||
* - otherresearchproduct
|
||||
*
|
||||
* @param resourceType
|
||||
* @param vocabularies
|
||||
* @return
|
||||
*/
|
||||
def getTypeQualifier(
|
||||
resourceType: String,
|
||||
vocabularies: VocabularyGroup
|
||||
): (Qualifier, Qualifier, String) = {
|
||||
if (resourceType != null && resourceType.nonEmpty) {
|
||||
val typeQualifier =
|
||||
vocabularies.getSynonymAsQualifier(ModelConstants.DNET_PUBLICATION_RESOURCE, resourceType)
|
||||
if (typeQualifier != null)
|
||||
return (
|
||||
typeQualifier,
|
||||
vocabularies.getSynonymAsQualifier(
|
||||
ModelConstants.DNET_RESULT_TYPOLOGIES,
|
||||
typeQualifier.getClassid
|
||||
),
|
||||
resourceType
|
||||
)
|
||||
}
|
||||
null
|
||||
}
|
||||
|
||||
def convert(input: String, vocabularies: VocabularyGroup): List[Oaf] = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
lazy val json: json4s.JValue = parse(input)
|
||||
|
||||
|
|
@ -364,17 +338,16 @@ case object Crossref2Oaf {
|
|||
val objectSubType = (json \ "subtype").extractOrElse[String](null)
|
||||
if (objectType == null)
|
||||
return resultList
|
||||
val typology = getTypeQualifier(objectType, vocabularies)
|
||||
|
||||
val result = generateItemFromType(objectType, objectSubType)
|
||||
if (typology == null)
|
||||
return List()
|
||||
|
||||
val result = generateItemFromType(typology._2)
|
||||
if (result == null)
|
||||
return List()
|
||||
val cOBJCategory = mappingCrossrefSubType.getOrElse(
|
||||
objectType,
|
||||
mappingCrossrefSubType.getOrElse(objectSubType, "0038 Other literature type")
|
||||
)
|
||||
|
||||
val originalType = if (mappingCrossrefSubType.contains(objectType)) objectType else objectSubType
|
||||
mappingResult(result, json, cOBJCategory, originalType)
|
||||
mappingResult(result, json, typology._1, typology._3)
|
||||
if (result == null || result.getId == null)
|
||||
return List()
|
||||
|
||||
|
|
@ -392,7 +365,7 @@ case object Crossref2Oaf {
|
|||
}
|
||||
|
||||
result match {
|
||||
case publication: Publication => convertPublication(publication, json, cOBJCategory)
|
||||
case publication: Publication => convertPublication(publication, json, typology._1)
|
||||
case dataset: Dataset => convertDataset(dataset)
|
||||
}
|
||||
|
||||
|
|
@ -622,12 +595,12 @@ case object Crossref2Oaf {
|
|||
// TODO check if there are other info to map into the Dataset
|
||||
}
|
||||
|
||||
def convertPublication(publication: Publication, json: JValue, cobjCategory: String): Unit = {
|
||||
def convertPublication(publication: Publication, json: JValue, cobjCategory: Qualifier): Unit = {
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
val containerTitles = for { JString(ct) <- json \ "container-title" } yield ct
|
||||
|
||||
//Mapping book
|
||||
if (cobjCategory.toLowerCase.contains("book")) {
|
||||
if (cobjCategory.getClassname.toLowerCase.contains("book")) {
|
||||
val ISBN = for { JString(isbn) <- json \ "ISBN" } yield isbn
|
||||
if (ISBN.nonEmpty && containerTitles.nonEmpty) {
|
||||
val source = s"${containerTitles.head} ISBN: ${ISBN.head}"
|
||||
|
|
@ -708,12 +681,23 @@ case object Crossref2Oaf {
|
|||
null
|
||||
}
|
||||
|
||||
def generateItemFromType(objectType: String, objectSubType: String): Result = {
|
||||
if (mappingCrossrefType.contains(objectType)) {
|
||||
if (mappingCrossrefType(objectType).equalsIgnoreCase("publication"))
|
||||
return new Publication()
|
||||
if (mappingCrossrefType(objectType).equalsIgnoreCase("dataset"))
|
||||
return new Dataset()
|
||||
def generateItemFromType(objectType: Qualifier): Result = {
|
||||
if (objectType.getClassid.equalsIgnoreCase("publication")) {
|
||||
val item = new Publication
|
||||
item.setResourcetype(objectType)
|
||||
return item
|
||||
} else if (objectType.getClassid.equalsIgnoreCase("dataset")) {
|
||||
val item = new Dataset
|
||||
item.setResourcetype(objectType)
|
||||
return item
|
||||
} else if (objectType.getClassid.equalsIgnoreCase("software")) {
|
||||
val item = new Software
|
||||
item.setResourcetype(objectType)
|
||||
return item
|
||||
} else if (objectType.getClassid.equalsIgnoreCase("OtherResearchProduct")) {
|
||||
val item = new OtherResearchProduct
|
||||
item.setResourcetype(objectType)
|
||||
return item
|
||||
}
|
||||
null
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,8 +1,10 @@
|
|||
package eu.dnetlib.doiboost.crossref
|
||||
|
||||
import eu.dnetlib.dhp.application.ArgumentApplicationParser
|
||||
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup
|
||||
import eu.dnetlib.dhp.schema.oaf
|
||||
import eu.dnetlib.dhp.schema.oaf.{Oaf, Publication, Relation, Dataset => OafDataset}
|
||||
import eu.dnetlib.dhp.utils.ISLookupClientFactory
|
||||
import org.apache.commons.io.IOUtils
|
||||
import org.apache.spark.SparkConf
|
||||
import org.apache.spark.sql._
|
||||
|
|
@ -40,11 +42,16 @@ object SparkMapDumpIntoOAF {
|
|||
implicit val mapEncoderDatasets: Encoder[oaf.Dataset] = Encoders.kryo[OafDataset]
|
||||
|
||||
val targetPath = parser.get("targetPath")
|
||||
val isLookupUrl: String = parser.get("isLookupUrl")
|
||||
logger.info("isLookupUrl: {}", isLookupUrl)
|
||||
val isLookupService = ISLookupClientFactory.getLookUpService(isLookupUrl)
|
||||
val vocabularies = VocabularyGroup.loadVocsFromIS(isLookupService)
|
||||
require(vocabularies != null)
|
||||
|
||||
spark.read
|
||||
.load(parser.get("sourcePath"))
|
||||
.as[CrossrefDT]
|
||||
.flatMap(k => Crossref2Oaf.convert(k.json))
|
||||
.flatMap(k => Crossref2Oaf.convert(k.json, vocabularies))
|
||||
.filter(o => o != null)
|
||||
.write
|
||||
.mode(SaveMode.Overwrite)
|
||||
|
|
|
|||
|
|
@ -71,6 +71,7 @@ object UnpayWallToOAF {
|
|||
}
|
||||
|
||||
def convertToOAF(input: String): Publication = {
|
||||
|
||||
val pub = new Publication
|
||||
|
||||
implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
|
||||
|
|
|
|||
|
|
@ -0,0 +1,50 @@
|
|||
|
||||
package eu.dnetlib.dhp.aggregation;
|
||||
|
||||
import static org.mockito.Mockito.lenient;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Collections;
|
||||
import java.util.List;
|
||||
import java.util.Objects;
|
||||
|
||||
import org.apache.commons.io.IOUtils;
|
||||
import org.mockito.Mock;
|
||||
|
||||
import eu.dnetlib.dhp.common.vocabulary.VocabularyGroup;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpException;
|
||||
import eu.dnetlib.enabling.is.lookup.rmi.ISLookUpService;
|
||||
|
||||
public abstract class AbstractVocabularyTest {
|
||||
|
||||
@Mock
|
||||
protected ISLookUpService isLookUpService;
|
||||
|
||||
protected VocabularyGroup vocabularies;
|
||||
|
||||
public void setUpVocabulary() throws ISLookUpException, IOException {
|
||||
lenient().when(isLookUpService.quickSearchProfile(VocabularyGroup.VOCABULARIES_XQUERY)).thenReturn(vocs());
|
||||
|
||||
lenient()
|
||||
.when(isLookUpService.quickSearchProfile(VocabularyGroup.VOCABULARY_SYNONYMS_XQUERY))
|
||||
.thenReturn(synonyms());
|
||||
vocabularies = VocabularyGroup.loadVocsFromIS(isLookUpService);
|
||||
}
|
||||
|
||||
private static List<String> vocs() throws IOException {
|
||||
return IOUtils
|
||||
.readLines(
|
||||
Objects
|
||||
.requireNonNull(
|
||||
AbstractVocabularyTest.class.getResourceAsStream("/eu/dnetlib/dhp/doiboost/terms.txt")));
|
||||
}
|
||||
|
||||
private static List<String> synonyms() throws IOException {
|
||||
return IOUtils
|
||||
.readLines(
|
||||
Objects
|
||||
.requireNonNull(
|
||||
AbstractVocabularyTest.class.getResourceAsStream("/eu/dnetlib/dhp/doiboost/synonyms.txt")));
|
||||
}
|
||||
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
|
|
@ -57,7 +57,7 @@
|
|||
]
|
||||
]
|
||||
},
|
||||
"type": "posted-content",
|
||||
"type": "journal-article",
|
||||
"URL": "http://dx.doi.org/10.1101/030080",
|
||||
"is-referenced-by-count": 2,
|
||||
"link": [
|
||||
|
|
|
|||
|
|
@ -1,33 +1,44 @@
|
|||
package eu.dnetlib.dhp.doiboost.crossref
|
||||
|
||||
import com.fasterxml.jackson.databind.SerializationFeature
|
||||
import eu.dnetlib.dhp.aggregation.AbstractVocabularyTest
|
||||
import eu.dnetlib.dhp.schema.common.ModelConstants
|
||||
import eu.dnetlib.dhp.schema.oaf._
|
||||
import eu.dnetlib.dhp.utils.DHPUtils
|
||||
import eu.dnetlib.doiboost.crossref.Crossref2Oaf
|
||||
import org.codehaus.jackson.map.{ObjectMapper, SerializationConfig}
|
||||
import org.json4s
|
||||
import com.fasterxml.jackson.databind.ObjectMapper
|
||||
import org.json4s.JsonAST.{JField, JObject, JString}
|
||||
import org.json4s.{DefaultFormats, JValue}
|
||||
import org.json4s.jackson.JsonMethods
|
||||
import org.junit.jupiter.api.Assertions._
|
||||
import org.junit.jupiter.api.Test
|
||||
import org.junit.jupiter.api.extension.ExtendWith
|
||||
import org.junit.jupiter.api.{BeforeEach, Test}
|
||||
import org.mockito.junit.jupiter.MockitoExtension
|
||||
import org.slf4j.{Logger, LoggerFactory}
|
||||
|
||||
import java.nio.file.Files
|
||||
import scala.collection.JavaConverters._
|
||||
import scala.io.Source
|
||||
import scala.util.matching.Regex
|
||||
|
||||
class CrossrefMappingTest {
|
||||
@ExtendWith(Array(classOf[MockitoExtension]))
|
||||
class CrossrefMappingTest extends AbstractVocabularyTest {
|
||||
|
||||
val logger: Logger = LoggerFactory.getLogger(Crossref2Oaf.getClass)
|
||||
val mapper = new ObjectMapper()
|
||||
|
||||
@BeforeEach
|
||||
def setUp(): Unit = {
|
||||
super.setUpVocabulary()
|
||||
}
|
||||
|
||||
@Test
|
||||
def testMissingAuthorParser(): Unit = {
|
||||
val json: String = Source
|
||||
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/s41567-022-01757-y.json"))
|
||||
.mkString
|
||||
val result = Crossref2Oaf.convert(json)
|
||||
val result = Crossref2Oaf.convert(json, vocabularies)
|
||||
result
|
||||
.filter(o => o.isInstanceOf[Publication])
|
||||
.map(p => p.asInstanceOf[Publication])
|
||||
|
|
@ -50,13 +61,13 @@ class CrossrefMappingTest {
|
|||
|
||||
for (line <- funder_doi.linesWithSeparators.map(l => l.stripLineEnd)) {
|
||||
val json = template.replace("%s", line)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
assertTrue(resultList.nonEmpty)
|
||||
checkRelation(resultList)
|
||||
}
|
||||
for (line <- funder_name.linesWithSeparators.map(l => l.stripLineEnd)) {
|
||||
val json = template.replace("%s", line)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
assertTrue(resultList.nonEmpty)
|
||||
checkRelation(resultList)
|
||||
}
|
||||
|
|
@ -96,7 +107,7 @@ class CrossrefMappingTest {
|
|||
Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/issue_date.json")).mkString
|
||||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
val items = resultList.filter(p => p.isInstanceOf[Result])
|
||||
|
|
@ -115,14 +126,13 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty)
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
val items = resultList.filter(p => p.isInstanceOf[Result])
|
||||
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
items.foreach(p => println(mapper.writeValueAsString(p)))
|
||||
items.foreach(p => println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(p)))
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -142,7 +152,7 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty)
|
||||
|
||||
val result: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val result: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(result.nonEmpty)
|
||||
|
||||
|
|
@ -163,8 +173,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertEquals(doisReference.size, relationList.size)
|
||||
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
relationList.foreach(p => println(mapper.writeValueAsString(p)))
|
||||
relationList.foreach(p => println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(p)))
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
@ -178,14 +187,13 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
val items = resultList.filter(p => p.isInstanceOf[Result])
|
||||
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
items.foreach(p => println(mapper.writeValueAsString(p)))
|
||||
items.foreach(p => println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(p)))
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -194,18 +202,17 @@ class CrossrefMappingTest {
|
|||
val json = Source
|
||||
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/prwTest.json"))
|
||||
.mkString
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
|
||||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
val items = resultList.filter(p => p.isInstanceOf[Result])
|
||||
|
||||
items.foreach(p => logger.info(mapper.writeValueAsString(p)))
|
||||
items.foreach(p => logger.info(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(p)))
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -235,7 +242,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertFalse(json.isEmpty)
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
val rels: List[Relation] =
|
||||
|
|
@ -255,7 +262,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -266,7 +273,7 @@ class CrossrefMappingTest {
|
|||
val result: Result = items.head.asInstanceOf[Result]
|
||||
assertNotNull(result)
|
||||
|
||||
logger.info(mapper.writeValueAsString(result));
|
||||
logger.info(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(result));
|
||||
|
||||
assertNotNull(result.getDataInfo, "Datainfo test not null Failed");
|
||||
assertNotNull(
|
||||
|
|
@ -331,7 +338,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -415,7 +422,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -463,7 +470,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -542,7 +549,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -568,7 +575,7 @@ class CrossrefMappingTest {
|
|||
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -578,7 +585,8 @@ class CrossrefMappingTest {
|
|||
assert(items.size == 1)
|
||||
val result: Result = items.head.asInstanceOf[Publication]
|
||||
assertNotNull(result)
|
||||
logger.info(mapper.writeValueAsString(result));
|
||||
|
||||
logger.info(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(result));
|
||||
}
|
||||
|
||||
@Test
|
||||
|
|
@ -591,7 +599,7 @@ class CrossrefMappingTest {
|
|||
val line: String =
|
||||
"\"funder\": [{\"name\": \"Wellcome Trust Masters Fellowship\",\"award\": [\"090633\"]}],"
|
||||
val json = template.replace("%s", line)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
assertTrue(resultList.nonEmpty)
|
||||
val items = resultList.filter(p => p.isInstanceOf[Publication])
|
||||
val result: Result = items.head.asInstanceOf[Publication]
|
||||
|
|
@ -610,7 +618,7 @@ class CrossrefMappingTest {
|
|||
.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/doiboost/crossref/article.json"))
|
||||
.mkString
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(template)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(template, vocabularies)
|
||||
assertTrue(resultList.nonEmpty)
|
||||
val items = resultList.filter(p => p.isInstanceOf[Publication])
|
||||
val result: Result = items.head.asInstanceOf[Publication]
|
||||
|
|
@ -634,14 +642,13 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
val item: Result = resultList.filter(p => p.isInstanceOf[Result]).head.asInstanceOf[Result]
|
||||
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
println(mapper.writeValueAsString(item))
|
||||
println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(item))
|
||||
|
||||
assertTrue(
|
||||
item.getInstance().asScala exists (i => i.getLicense.getValue.equals("https://www.springer.com/vor"))
|
||||
|
|
@ -664,7 +671,7 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -681,8 +688,8 @@ class CrossrefMappingTest {
|
|||
assertTrue(
|
||||
item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == OpenAccessRoute.hybrid)
|
||||
)
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
println(mapper.writeValueAsString(item))
|
||||
|
||||
println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(item))
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -699,7 +706,7 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -716,8 +723,7 @@ class CrossrefMappingTest {
|
|||
assertTrue(
|
||||
item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == OpenAccessRoute.hybrid)
|
||||
)
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
println(mapper.writeValueAsString(item))
|
||||
println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(item))
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -734,7 +740,7 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -751,8 +757,7 @@ class CrossrefMappingTest {
|
|||
item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("EMBARGO"))
|
||||
)
|
||||
assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == null))
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
println(mapper.writeValueAsString(item))
|
||||
println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(item))
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -769,7 +774,7 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -786,8 +791,8 @@ class CrossrefMappingTest {
|
|||
item.getInstance().asScala exists (i => i.getAccessright.getClassid.equals("EMBARGO"))
|
||||
)
|
||||
assertTrue(item.getInstance().asScala exists (i => i.getAccessright.getOpenAccessRoute == null))
|
||||
mapper.getSerializationConfig.enable(SerializationConfig.Feature.INDENT_OUTPUT)
|
||||
println(mapper.writeValueAsString(item))
|
||||
|
||||
println(mapper.writerWithDefaultPrettyPrinter().writeValueAsString(item))
|
||||
|
||||
}
|
||||
|
||||
|
|
@ -802,7 +807,7 @@ class CrossrefMappingTest {
|
|||
assertNotNull(json)
|
||||
assertFalse(json.isEmpty);
|
||||
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json)
|
||||
val resultList: List[Oaf] = Crossref2Oaf.convert(json, vocabularies)
|
||||
|
||||
assertTrue(resultList.nonEmpty)
|
||||
|
||||
|
|
@ -812,9 +817,8 @@ class CrossrefMappingTest {
|
|||
assertEquals(1, item.getInstance().get(0).getUrl().size())
|
||||
assertEquals(
|
||||
"https://doi.org/10.1016/j.jas.2019.105013",
|
||||
item.getInstance().get(0).getUrl().get(0)
|
||||
item.getInstance().get(0).getUrl.get(0)
|
||||
)
|
||||
//println(mapper.writeValueAsString(item))
|
||||
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue