From 0424f47494ffcc792fc4d9c7dc4e79407dc105c5 Mon Sep 17 00:00:00 2001 From: "miriam.baglioni" Date: Wed, 28 Jul 2021 10:24:13 +0200 Subject: [PATCH] HostedByMap fixing issues --- .../dhp/oa/graph/hostebymap/Aggregators.scala | 2 +- .../SparkPrepareHostedByMapData.scala | 240 +++++++++++------- .../oa/graph/hostedbymap/TestPreprocess.scala | 85 ++++++- .../dhp/oa/graph/hostedbymap/datasource.json | 20 +- 4 files changed, 234 insertions(+), 113 deletions(-) diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/Aggregators.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/Aggregators.scala index d984183399..561d2bbf45 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/Aggregators.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/Aggregators.scala @@ -5,7 +5,7 @@ import org.apache.spark.sql.expressions.Aggregator case class HostedByItemType(id: String, officialname: String, issn: String, eissn: String, lissn: String, openAccess: Boolean) {} - +case class HostedByInfo(id: String, officialname: String, journal_id: String, provenance : String, id_type: String) {} object Aggregators { diff --git a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/SparkPrepareHostedByMapData.scala b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/SparkPrepareHostedByMapData.scala index 55b6e36cd0..b66e972818 100644 --- a/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/SparkPrepareHostedByMapData.scala +++ b/dhp-workflows/dhp-graph-mapper/src/main/java/eu/dnetlib/dhp/oa/graph/hostebymap/SparkPrepareHostedByMapData.scala @@ -2,27 +2,23 @@ package eu.dnetlib.dhp.oa.graph.hostebymap import eu.dnetlib.dhp.application.ArgumentApplicationParser import eu.dnetlib.dhp.oa.graph.hostebymap.model.{DOAJModel, UnibiGoldModel} -import eu.dnetlib.dhp.oa.merge.AuthorMerger -import eu.dnetlib.dhp.schema.common.ModelConstants -import eu.dnetlib.dhp.schema.oaf.{Datasource, Organization, Publication, Relation} +import eu.dnetlib.dhp.schema.oaf.{Datasource} import org.apache.commons.io.IOUtils import org.apache.spark.SparkConf import org.apache.spark.sql.{Dataset, Encoder, Encoders, SaveMode, SparkSession} import org.json4s.DefaultFormats import org.slf4j.{Logger, LoggerFactory} -import org.json4s.jackson.Serialization.write -import scala.collection.mutable.ListBuffer +import com.fasterxml.jackson.databind.ObjectMapper object SparkPrepareHostedByMapData { - case class HostedByInfo(id: Option[String], officialname: String, journal_id: String, provenance : String, id_type: String) {} implicit val tupleForJoinEncoder: Encoder[(String, HostedByItemType)] = Encoders.tuple(Encoders.STRING, Encoders.product[HostedByItemType]) - implicit val mapEncoderDats: Encoder[Datasource] = Encoders.bean(classOf[Datasource]) - implicit val mapEncoderDOAJ: Encoder[DOAJModel] = Encoders.kryo[DOAJModel] - implicit val mapEncoderUnibi: Encoder[UnibiGoldModel] = Encoders.kryo[UnibiGoldModel] - implicit val mapEncoderHBI: Encoder[HostedByInfo] = Encoders.product[HostedByInfo] + + + + def toHostedByItemType(input: ((HostedByInfo, HostedByInfo), HostedByInfo)) : HostedByItemType = { @@ -32,59 +28,144 @@ object SparkPrepareHostedByMapData { val isOpenAccess: Boolean = doaj == null && gold == null openaire.journal_id match { - case Constants.ISSN => return HostedByItemType(openaire.id.get, openaire.officialname, openaire.journal_id, "", "", isOpenAccess) - case Constants.EISSN => return HostedByItemType(openaire.id.get, openaire.officialname, "", openaire.journal_id, "", isOpenAccess) - case Constants.ISSNL => return HostedByItemType(openaire.id.get, openaire.officialname, "", "", openaire.journal_id, isOpenAccess) + case Constants.ISSN => HostedByItemType(openaire.id, openaire.officialname, openaire.journal_id, "", "", isOpenAccess) + case Constants.EISSN => HostedByItemType(openaire.id, openaire.officialname, "", openaire.journal_id, "", isOpenAccess) + case Constants.ISSNL => HostedByItemType(openaire.id, openaire.officialname, "", "", openaire.journal_id, isOpenAccess) // catch the default with a variable so you can print it - case whoa => return null + case whoa => null } } - def toHostedByMap(input: HostedByItemType): ListBuffer[String] = { - implicit val formats = DefaultFormats - val serializedJSON:String = write(input) +// def toHostedByMap(input: HostedByItemType): ListBuffer[String] = { +// implicit val formats = DefaultFormats +// val serializedJSON:String = write(input) +// +// var hostedBy = new ListBuffer[String]() +// if(!input.issn.equals("")){ +// hostedBy += "{\"" + input.issn + "\":" + serializedJSON + "}" +// } +// if(!input.eissn.equals("")){ +// hostedBy += "{\"" + input.eissn + "\":" + serializedJSON + "}" +// } +// if(!input.lissn.equals("")){ +// hostedBy += "{\"" + input.lissn + "\":" + serializedJSON + "}" +// } +// +// hostedBy +// +// } - var hostedBy = new ListBuffer[String]() + def getHostedByItemType(id:String, officialname: String, issn:String, eissn:String, issnl:String, oa:Boolean): HostedByItemType = { + if(issn != null){ + if(eissn != null){ + if(issnl != null){ + HostedByItemType(id, officialname, issn, eissn, issnl , oa) + }else{ + HostedByItemType(id, officialname, issn, eissn, "" , oa) + } + }else{ + if(issnl != null){ + HostedByItemType(id, officialname, issn, "", issnl , oa) + }else{ + HostedByItemType(id, officialname, issn, "", "" , oa) + } + } + }else{ + if(eissn != null){ + if(issnl != null){ + HostedByItemType(id, officialname, "", eissn, issnl , oa) + }else{ + HostedByItemType(id, officialname, "", eissn, "" , oa) + } + }else{ + if(issnl != null){ + HostedByItemType(id, officialname, "", "", issnl , oa) + }else{ + HostedByItemType("", "", "", "", "" , oa) + } + } + } + } + + def oaToHostedbyItemType(dats: Datasource): HostedByItemType = { + if (dats.getJournal != null) { + + return getHostedByItemType(dats.getId, dats.getOfficialname.getValue, dats.getJournal.getIssnPrinted, dats.getJournal.getIssnOnline, dats.getJournal.getIssnLinking, false) + } + HostedByItemType("","","","","",false) + } + + def oaHostedByDataset(spark:SparkSession, datasourcePath : String) : Dataset[HostedByItemType] = { + + import spark.implicits._ + + + val mapper = new ObjectMapper() + + implicit var encoderD = Encoders.kryo[Datasource] + + val dd : Dataset[Datasource] = spark.read.textFile(datasourcePath) + .map(r => mapper.readValue(r, classOf[Datasource])) + + dd.map{ddt => oaToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals(""))) + + } + + + def goldToHostedbyItemType(gold: UnibiGoldModel): HostedByItemType = { + return getHostedByItemType(Constants.UNIBI, gold.getTitle, gold.getIssn, "", gold.getIssn_l, true) + } + + + def goldHostedByDataset(spark:SparkSession, datasourcePath:String) : Dataset[HostedByItemType] = { + import spark.implicits._ + + implicit val mapEncoderUnibi: Encoder[UnibiGoldModel] = Encoders.kryo[UnibiGoldModel] + + val mapper = new ObjectMapper() + + val dd : Dataset[UnibiGoldModel] = spark.read.textFile(datasourcePath) + .map(r => mapper.readValue(r, classOf[UnibiGoldModel])) + + dd.map{ddt => goldToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals(""))) + + } + + def doajToHostedbyItemType(doaj: DOAJModel): HostedByItemType = { + + return getHostedByItemType(Constants.DOAJ, doaj.getJournalTitle, doaj.getIssn, doaj.getEissn, "", true) + } + + def doajHostedByDataset(spark:SparkSession, datasourcePath:String) : Dataset[HostedByItemType] = { + import spark.implicits._ + + implicit val mapEncoderDOAJ: Encoder[DOAJModel] = Encoders.kryo[DOAJModel] + + val mapper = new ObjectMapper() + + val dd : Dataset[DOAJModel] = spark.read.textFile(datasourcePath) + .map(r => mapper.readValue(r, classOf[DOAJModel])) + + dd.map{ddt => doajToHostedbyItemType(ddt)}.filter(hb => !(hb.id.equals(""))) + + } + + def toList(input: HostedByItemType): List[(String, HostedByItemType)] = { + var lst : List[(String, HostedByItemType)] = List() if(!input.issn.equals("")){ - hostedBy += "{\"" + input.issn + "\":" + serializedJSON + "}" + lst = (input.issn, input) :: lst } if(!input.eissn.equals("")){ - hostedBy += "{\"" + input.eissn + "\":" + serializedJSON + "}" + lst = (input.eissn, input) :: lst } if(!input.lissn.equals("")){ - hostedBy += "{\"" + input.lissn + "\":" + serializedJSON + "}" + lst = (input.lissn, input) :: lst } - - hostedBy - + lst } - def readOADataset(input:String, spark: SparkSession): Dataset[HostedByInfo] = { - spark.read.textFile(input).as[Datasource].flatMap(ds => { - val lst = new ListBuffer[HostedByInfo]() - if (ds.getJournal == null) { - return null - } - val issn: String = ds.getJournal.getIssnPrinted - val issnl: String = ds.getJournal.getIssnOnline - val eissn: String = ds.getJournal.getIssnOnline - val id: String = ds.getId - val officialname: String = ds.getOfficialname.getValue - if (issn != null) { - lst += HostedByInfo(Some(id), officialname, issn, Constants.OPENAIRE, Constants.ISSN) - } - if (issnl != null) { - lst += HostedByInfo(Some(id), officialname, issnl, Constants.OPENAIRE, Constants.ISSNL) - } - if (eissn != null) { - lst += HostedByInfo(Some(id), officialname, eissn, Constants.OPENAIRE, Constants.EISSN) - } - lst - }).filter(i => i != null) - } - def main(args: Array[String]): Unit = { val logger: Logger = LoggerFactory.getLogger(getClass) @@ -105,53 +186,34 @@ object SparkPrepareHostedByMapData { + implicit val formats = DefaultFormats + logger.info("Getting the Datasources") - val doajDataset: Dataset[DOAJModel] = spark.read.load(workingDirPath + "/doaj").as[DOAJModel] - val unibiDataset: Dataset[UnibiGoldModel] = spark.read.load(datasourcePath).as[UnibiGoldModel] + // val doajDataset: Dataset[DOAJModel] = spark.read.textFile(workingDirPath + "/doaj").as[DOAJModel] - val oa: Dataset[HostedByInfo] = readOADataset(datasourcePath, spark) - - val doaj: Dataset[HostedByInfo] = doajDataset.flatMap(doaj => { - val lst = new ListBuffer[HostedByInfo]() - val issn: String = doaj.getIssn - val eissn: String = doaj.getEissn - val officialname: String = doaj.getJournalTitle - if (issn != null) { - lst += HostedByInfo(null, officialname, issn, Constants.DOAJ, Constants.ISSN) - } - if (eissn != null) { - lst += HostedByInfo(null, officialname, eissn, Constants.DOAJ, Constants.EISSN) - } - lst - }) - - val gold: Dataset[HostedByInfo] = unibiDataset.flatMap(gold => { - val lst = new ListBuffer[HostedByInfo]() - val issn: String = gold.getIssn - val issnl: String = gold.getIssn_l - val officialname: String = gold.getTitle - if (issn != null) { - lst += HostedByInfo(null, officialname, issn, Constants.UNIBI, Constants.ISSN) - } - if (issnl != null) { - lst += HostedByInfo(null, officialname, issnl, Constants.UNIBI, Constants.ISSNL) - } - lst - }) - - Aggregators.createHostedByItemTypes(oa.joinWith(doaj, oa.col("journal_id").equalTo(doaj.col("journal_id")), "left") - .joinWith(gold, $"_1.col('journal_id')".equalTo(gold.col("journal_id")), "left").map(toHostedByItemType) - .filter(i => i != null)) - .flatMap(toHostedByMap) - // .map(i => (i.id,i)) - // .groupByKey(_._1) - // .agg(hostedByAggregator.toColumn) - // .map(p => p._2) - .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/HostedByMap") + val dats : Dataset[HostedByItemType] = + oaHostedByDataset(spark, datasourcePath) + .union(goldHostedByDataset(spark, workingDirPath + "/unibi_gold")) + .union(doajHostedByDataset(spark, workingDirPath + "/doaj")) + dats.flatMap(hbi => toList(hbi)) + .groupByKey(_._1) +// +// + +// + +// +// Aggregators.createHostedByItemTypes(oa.joinWith(doaj, oa.col("journal_id").equalTo(doaj.col("journal_id")), "left") +// .joinWith(gold, $"_1.col('journal_id')".equalTo(gold.col("journal_id")), "left").map(toHostedByItemType) +// .filter(i => i != null)) +// .flatMap(toHostedByMap) +// .write.mode(SaveMode.Overwrite).save(s"$workingDirPath/HostedByMap") +// +// } diff --git a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala index 657f20fce4..8e5657bfc1 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala +++ b/dhp-workflows/dhp-graph-mapper/src/test/java/eu/dnetlib/dhp/oa/graph/hostedbymap/TestPreprocess.scala @@ -2,22 +2,23 @@ package eu.dnetlib.dhp.oa.graph.hostedbymap import java.sql.Timestamp -import eu.dnetlib.dhp.oa.graph.hostebymap.SparkPrepareHostedByMapData -import eu.dnetlib.dhp.oa.graph.hostebymap.SparkPrepareHostedByMapData.HostedByInfo +import com.fasterxml.jackson.databind.ObjectMapper +import eu.dnetlib.dhp.oa.graph.hostebymap.{Constants, HostedByInfo, SparkPrepareHostedByMapData} +import eu.dnetlib.dhp.schema.oaf.Datasource import org.apache.spark.SparkConf -import org.apache.spark.sql.{Dataset, SparkSession} -import org.codehaus.jackson.map.ObjectMapper +import org.apache.spark.sql.{Dataset, Encoder, Encoders, SparkSession} import org.json4s.DefaultFormats import org.junit.jupiter.api.Assertions.{assertNotNull, assertTrue} import org.junit.jupiter.api.Test import org.slf4j.{Logger, LoggerFactory} +import scala.collection.mutable.ListBuffer import scala.io.Source -class TestPreprocess { +class TestPreprocess extends java.io.Serializable{ - val logger: Logger = LoggerFactory.getLogger(getClass) - val mapper = new ObjectMapper() + implicit val mapEncoderDats: Encoder[Datasource] = Encoders.kryo[Datasource] + implicit val schema = Encoders.product[HostedByInfo] @@ -27,7 +28,11 @@ class TestPreprocess { import org.apache.spark.sql.Encoders implicit val formats = DefaultFormats - import org.json4s.jackson.Serialization.write + + val logger: Logger = LoggerFactory.getLogger(getClass) + val mapper = new ObjectMapper() + + val conf = new SparkConf() conf.setMaster("local[*]") @@ -41,12 +46,67 @@ class TestPreprocess { val path = getClass.getResource("datasource.json").getPath - val schema = Encoders.product[HostedByInfo] + println(SparkPrepareHostedByMapData.oaHostedByDataset(spark, path).count) - spark.read.textFile(path).foreach(r => println(mapper.writeValueAsString(r))) -// SparkPrepareHostedByMapData.readOADataset(path, spark) -// .foreach(r => println(write(r))) + + spark.close() + } + + + @Test + def readGold():Unit = { + + implicit val formats = DefaultFormats + + val logger: Logger = LoggerFactory.getLogger(getClass) + val mapper = new ObjectMapper() + + + + val conf = new SparkConf() + conf.setMaster("local[*]") + conf.set("spark.driver.host", "localhost") + val spark: SparkSession = + SparkSession + .builder() + .appName(getClass.getSimpleName) + .config(conf) + .getOrCreate() + val path = getClass.getResource("unibi_transformed.json").getPath + + + println(SparkPrepareHostedByMapData.goldHostedByDataset(spark, path).count) + + + + spark.close() + } + + @Test + def readDoaj():Unit = { + + implicit val formats = DefaultFormats + + val logger: Logger = LoggerFactory.getLogger(getClass) + val mapper = new ObjectMapper() + + + + val conf = new SparkConf() + conf.setMaster("local[*]") + conf.set("spark.driver.host", "localhost") + val spark: SparkSession = + SparkSession + .builder() + .appName(getClass.getSimpleName) + .config(conf) + .getOrCreate() + val path = getClass.getResource("doaj_transformed.json").getPath + + + println(SparkPrepareHostedByMapData.doajHostedByDataset(spark, path).count) + spark.close() @@ -55,5 +115,4 @@ class TestPreprocess { - } diff --git a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/datasource.json b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/datasource.json index 15e1dcc45a..818aaa7167 100644 --- a/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/datasource.json +++ b/dhp-workflows/dhp-graph-mapper/src/test/resources/eu/dnetlib/dhp/oa/graph/hostedbymap/datasource.json @@ -1,10 +1,10 @@ -{"accessinfopackage":[],"collectedfrom":[{"key":"10|driver______::bee53aa31dc2cbb538c10c2b65fa5824","value":"DOAJ-Articles"}],"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"dataprovider":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":false},"datasourcetype":{"classid":"pubsrepository::journal","classname":"Journal","schemeid":"dnet:datasource_typologies","schemename":"dnet:datasource_typologies"},"dateofcollection":"2020-03-01","englishname":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"Известия высших учебных заведений: Проблемы энергетики"},"extraInfo":[],"id":"10|doajarticles::0ab37b7620eb9a73ac95d3ca4320c97d","journal":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"issnPrinted":"1998-9903","name":"Известия высших учебных заведений: Проблемы энергетики"},"lastupdatetimestamp":1626336932282,"latitude":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"0.0"},"longitude":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"0.0"},"namespaceprefix":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"doaj19989903"},"odcontenttypes":[{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"Journal articles"}],"odlanguages":[],"odnumberofitems":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"0.0"},"officialname":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"Известия высших учебных заведений: Проблемы энергетики"},"openairecompatibility":{"classid":"hostedBy","classname":"collected from a compatible aggregator","schemeid":"dnet:datasourceCompatibilityLevel","schemename":"dnet:datasourceCompatibilityLevel"},"originalId":["doajarticles::1998-9903"],"pid":[],"policies":[],"serviceprovider":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":false},"subjects":[{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"qualifier":{"classid":"keyword","classname":"keyword","schemeid":"dnet:subject_classification_typologies","schemename":"dnet:subject_classification_typologies"},"value":"Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations"}],"versioning":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":false},"websiteurl":{"dataInfo":{"deletedbyinference":false,"inferred":false,"invisible":false,"provenanceaction":{"classid":"sysimport:crosswalk:entityregistry","classname":"Harvested","schemeid":"dnet:provenanceActions","schemename":"dnet:provenanceActions"},"trust":"0.900"},"value":"https://www.energyret.ru/jour/"}} 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