[EoscTag] first "rough" implementation

dhp-workflows/dhp-enrichment/src/main/java/eu/dnetlib/dhp/bulktag/SparkEoscTag.java

@@ -1,22 +1,13 @@
 package eu.dnetlib.dhp.bulktag;
 
 import com.fasterxml.jackson.databind.ObjectMapper;
-import com.google.gson.Gson;
 import eu.dnetlib.dhp.application.ArgumentApplicationParser;
-import eu.dnetlib.dhp.bulktag.community.CommunityConfiguration;
-import eu.dnetlib.dhp.bulktag.community.CommunityConfigurationFactory;
-import eu.dnetlib.dhp.bulktag.community.ProtoMap;
-import eu.dnetlib.dhp.bulktag.community.QueryInformationSystem;
 import eu.dnetlib.dhp.schema.common.ModelConstants;
-import eu.dnetlib.dhp.schema.oaf.Result;
+import eu.dnetlib.dhp.schema.oaf.*;
-import eu.dnetlib.dhp.schema.oaf.Software;
-import eu.dnetlib.dhp.schema.oaf.StructuredProperty;
 import eu.dnetlib.dhp.schema.oaf.utils.OafMapperUtils;
 import org.apache.commons.io.IOUtils;
 import org.apache.spark.SparkConf;
-import org.apache.spark.api.java.function.FilterFunction;
 import org.apache.spark.api.java.function.MapFunction;
-import org.apache.spark.sql.Dataset;
 import org.apache.spark.sql.Encoders;
 import org.apache.spark.sql.SaveMode;
 import org.apache.spark.sql.SparkSession;
@@ -26,25 +17,30 @@ import org.slf4j.LoggerFactory;
 import java.util.Optional;
 
 import static eu.dnetlib.dhp.PropagationConstant.readPath;
-import static eu.dnetlib.dhp.PropagationConstant.removeOutputDir;
 import static eu.dnetlib.dhp.common.SparkSessionSupport.runWithSparkSession;
 
 public class SparkEoscTag {
     private static final Logger log = LoggerFactory.getLogger(SparkEoscTag.class);
     public static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
-    public final static StructuredProperty EOSC_NOTEBOOK = OafMapperUtils.structuredProperty(
+    public static final Qualifier EOSC_QUALIFIER = OafMapperUtils.qualifier("eosc",
-            "EOSC::Jupyter Notebook", OafMapperUtils.qualifier("eosc","European Open Science Cloud",
+            "European Open Science Cloud",
-                    ModelConstants.DNET_SUBJECT_TYPOLOGIES,ModelConstants.DNET_SUBJECT_TYPOLOGIES)
+            ModelConstants.DNET_SUBJECT_TYPOLOGIES,ModelConstants.DNET_SUBJECT_TYPOLOGIES);
-    ,OafMapperUtils.dataInfo(false, "propagation", true, false,
+    public static final DataInfo EOSC_DATAINFO = OafMapperUtils.dataInfo(false, "propagation", true, false,
             OafMapperUtils.qualifier("propagation:subject","Inferred by OpenAIRE",
-                            ModelConstants.DNET_PROVENANCE_ACTIONS,ModelConstants.DNET_PROVENANCE_ACTIONS), "0.9"));
+                    ModelConstants.DNET_PROVENANCE_ACTIONS,ModelConstants.DNET_PROVENANCE_ACTIONS), "0.9");
+    public final static StructuredProperty EOSC_NOTEBOOK = OafMapperUtils.structuredProperty(
+            "EOSC::Jupyter Notebook", EOSC_QUALIFIER,EOSC_DATAINFO);
+    public final static StructuredProperty EOSC_GALAXY = OafMapperUtils.structuredProperty(
+            "EOSC::Galaxy Workflow", EOSC_QUALIFIER, EOSC_DATAINFO);
+    public final static StructuredProperty EOSC_TWITTER = OafMapperUtils.structuredProperty(
+            "EOSC::Twitter Data", EOSC_QUALIFIER,EOSC_DATAINFO);
 
     public static void main(String[] args) throws Exception {
         String jsonConfiguration = IOUtils
                 .toString(
                         SparkEoscTag.class
                                 .getResourceAsStream(
-                                        "/eu/dnetlib/dhp/bulktag/input_eosctag_parameters.json"));
+                                        "/eu/dnetlib/dhp/bulktag/input_eoscTag_parameters.json"));
 
         final ArgumentApplicationParser parser = new ArgumentApplicationParser(jsonConfiguration);
         parser.parseArgument(args);
@@ -73,17 +69,15 @@ public class SparkEoscTag {
     }
 
     private static void execEoscTag(SparkSession spark, String inputPath, String workingPath) {
-        //search for notebook
-        //subject contiene jupyter.
-        //esistono python e notebook nei subject non necessariamente nello stesso
-        //si cerca fra i prodotti di tipo software
-
 
         readPath(spark, inputPath + "/software", Software.class)
                 .map((MapFunction<Software, Software>) s -> {
-                    if(containsSubjectNotebook(s)){
+                    if(containsCriteriaNotebook(s)){
                         s.getSubject().add(EOSC_NOTEBOOK);
                     }
+                    if(containsCriteriaGalaxy(s)){
+                        s.getSubject().add(EOSC_GALAXY);
+                    }
                     return s;
                 }, Encoders.bean(Software.class) )
                 .write()
@@ -97,9 +91,75 @@ public class SparkEoscTag {
                 .option("compression","gzip")
                 .json(inputPath + "/software");
 
+        readPath(spark, inputPath + "/otherresearchproduct", OtherResearchProduct.class)
+                .map((MapFunction<OtherResearchProduct, OtherResearchProduct>) orp ->
+                {
+                    if(containsCriteriaGalaxy(orp)){
+                        orp.getSubject().add(EOSC_GALAXY);
+                    }
+                    if(containscriteriaTwitter(orp)){
+                        orp.getSubject().add(EOSC_TWITTER);
+                    }
+                    return orp;
+                }, Encoders.bean(OtherResearchProduct.class))
+                .write()
+                .mode(SaveMode.Overwrite)
+                .option("compression","gzip")
+                .json(workingPath + "/otherresearchproduct");
+
+        readPath(spark, workingPath + "/otherresearchproduct", OtherResearchProduct.class)
+                .write()
+                .mode(SaveMode.Overwrite)
+                .option("compression","gzip")
+                .json(inputPath + "/otherresearchproduct");
+
+        readPath(spark, inputPath + "/dataset", Dataset.class)
+                .map((MapFunction<Dataset, Dataset>) d -> {
+                    if(containscriteriaTwitter(d)){
+                        d.getSubject().add(EOSC_TWITTER);
+                    }
+                    return d;
+                } , Encoders.bean(Dataset.class) )
+                .write()
+                .mode(SaveMode.Overwrite)
+                .option("compression","gzip")
+                .json(workingPath + "/dataset");
+
+        readPath(spark, workingPath + "/dataset" , Dataset.class)
+                .write()
+                .mode(SaveMode.Overwrite)
+                .option("compression","gzip")
+                .json(inputPath + "/dataset");
     }
 
-    private static boolean containsSubjectNotebook(Software s) {
+    private static boolean containscriteriaTwitter(Result r) {
+        if (r.getTitle().stream().anyMatch(t -> t.getValue().toLowerCase().contains("twitter") &&
+                t.getValue().toLowerCase().contains("data")))
+            return true;
+        if(r.getDescription().stream().anyMatch(d -> d.getValue().toLowerCase().contains("twitter") &&
+                d.getValue().toLowerCase().contains("data") ))
+            return true;
+        if(r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("twitter")) &&
+                r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("data")))
+            return true;
+        return false;
+    }
+
+    private static boolean containsCriteriaGalaxy(Result r) {
+        if (r.getTitle().stream().anyMatch(t -> t.getValue().toLowerCase().contains("galaxy") &&
+                (t.getValue().toLowerCase().contains("workflow") || t.getValue().toLowerCase().contains("software"))))
+            return true;
+        if(r.getDescription().stream().anyMatch(d -> d.getValue().toLowerCase().contains("galaxy") &&
+                (d.getValue().toLowerCase().contains("workflow") || d.getValue().toLowerCase().contains("software"))))
+            return true;
+        if(r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("galaxy")) &&
+                (r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("workflow"))) ||
+                r.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("software")))
+            return true;
+        return false;
+    }
+
+    private static boolean containsCriteriaNotebook(Software s) {
         if(s.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("jupyter")))
             return true;
         if(s.getSubject().stream().anyMatch(sbj -> sbj.getValue().toLowerCase().contains("python") &&
@@ -117,4 +177,5 @@ public class SparkEoscTag {
             return true;
         return false;
     }
+
 }

dhp-workflows/dhp-enrichment/src/main/resources/eu/dnetlib/dhp/bulktag/input_eoscTag_parameters.json

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

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

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