122 lines
2.9 KiB
Scala
122 lines
2.9 KiB
Scala
package eu.dnetlib.doiboost.mag
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import org.apache.spark.SparkConf
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import org.apache.spark.sql.{Dataset, SparkSession}
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import org.codehaus.jackson.map.ObjectMapper
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import org.json4s.DefaultFormats
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import org.junit.jupiter.api.Assertions._
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import org.junit.jupiter.api.Test
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import org.slf4j.{Logger, LoggerFactory}
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import java.sql.Timestamp
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import scala.io.Source
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class MAGMappingTest {
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val logger: Logger = LoggerFactory.getLogger(getClass)
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val mapper = new ObjectMapper()
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@Test
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def testSplitter():Unit = {
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val s = "sports.team"
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if (s.contains(".")) {
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println(s.split("\\.")head)
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}
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}
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@Test
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def testDate() :Unit = {
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val p:Timestamp = Timestamp.valueOf("2011-10-02 00:00:00")
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println(p.toString.substring(0,10))
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}
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@Test
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def buildInvertedIndexTest(): Unit = {
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val json_input = Source.fromInputStream(getClass.getResourceAsStream("invertedIndex.json")).mkString
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val description = ConversionUtil.convertInvertedIndexString(json_input)
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assertNotNull(description)
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assertTrue(description.nonEmpty)
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logger.debug(description)
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}
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@Test
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def normalizeDoiTest():Unit = {
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implicit val formats = DefaultFormats
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val conf = new SparkConf()
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conf.setMaster("local[*]")
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conf.set("spark.driver.host", "localhost")
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val spark: SparkSession =
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SparkSession
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.builder()
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.appName(getClass.getSimpleName)
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.config(conf)
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.getOrCreate()
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val path = getClass.getResource("magPapers.json").getPath
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import org.apache.spark.sql.Encoders
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val schema = Encoders.product[MagPapers].schema
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import spark.implicits._
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val magPapers :Dataset[MagPapers] = spark.read.option("multiline",true).schema(schema).json(path).as[MagPapers]
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val ret :Dataset[MagPapers] = SparkProcessMAG.getDistinctResults(magPapers)
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assertTrue(ret.count == 10)
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ret.take(10).foreach(mp => assertTrue(mp.Doi.equals(mp.Doi.toLowerCase())))
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spark.close()
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}
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@Test
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def normalizeDoiTest2():Unit = {
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import org.json4s.DefaultFormats
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implicit val formats = DefaultFormats
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val conf = new SparkConf()
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conf.setMaster("local[*]")
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conf.set("spark.driver.host", "localhost")
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val spark: SparkSession =
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SparkSession
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.builder()
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.appName(getClass.getSimpleName)
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.config(conf)
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.getOrCreate()
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val path = getClass.getResource("duplicatedMagPapers.json").getPath
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import org.apache.spark.sql.Encoders
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val schema = Encoders.product[MagPapers].schema
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import spark.implicits._
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val magPapers :Dataset[MagPapers] = spark.read.option("multiline",true).schema(schema).json(path).as[MagPapers]
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val ret :Dataset[MagPapers] = SparkProcessMAG.getDistinctResults(magPapers)
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assertTrue(ret.count == 8)
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ret.take(8).foreach(mp => assertTrue(mp.Doi.equals(mp.Doi.toLowerCase())))
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spark.close()
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//ret.take(8).foreach(mp => println(write(mp)))
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}
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}
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