[ADAM-1576] Allow translation between two different GenomicRDD types.

adam-core/src/main/scala/org/bdgenomics/adam/rdd/GenomicRDD.scala

@@ -187,6 +187,19 @@ trait GenomicRDD[T, U <: GenomicRDD[T, U]] extends Logging {
     replaceRdd(tFn(rdd))
   }
 
+  /**
+   * Applies a function that transmutes the underlying RDD into a new RDD of a
+   * different type.
+   *
+   * @param tFn A function that transforms the underlying RDD.
+   * @return A new RDD where the RDD of genomic data has been replaced, but the
+   *   metadata (sequence dictionary, and etc) is copied without modification.
+   */
+  def transmute[X, Y <: GenomicRDD[X, Y]](tFn: RDD[T] => RDD[X])(
+    implicit convFn: (U, RDD[X]) => Y): Y = {
+    convFn(this.asInstanceOf[U], tFn(rdd))
+  }
+
   // The partition map is structured as follows:
   // The outer option is for whether or not there is a partition map.
   //   - This is None in the case that we don't know the bounds on each 
@@ -918,12 +931,12 @@ trait GenomicRDD[T, U <: GenomicRDD[T, U]] extends Logging {
    * @return Returns a new genomic RDD containing all pairs of keys that
    *   overlapped in the genomic coordinate space.
    */
-  def shuffleRegionJoin[X, Y <: GenomicRDD[X, Y], Z <: GenomicRDD[(T, X), Z]](
+  def shuffleRegionJoin[X, Y <: GenomicRDD[X, Y]](
     genomicRdd: GenomicRDD[X, Y],
     optPartitions: Option[Int] = None)(
       implicit tTag: ClassTag[T],
       xTag: ClassTag[X],
-      txTag: ClassTag[(T, X)]): GenomicRDD[(T, X), Z] = InnerShuffleJoin.time {
+      txTag: ClassTag[(T, X)]): GenericGenomicRDD[(T, X)] = InnerShuffleJoin.time {
 
     val (leftRddToJoin, rightRddToJoin) =
       prepareForShuffleRegionJoin(genomicRdd, optPartitions)
@@ -937,7 +950,7 @@ trait GenomicRDD[T, U <: GenomicRDD[T, U]] extends Logging {
       combinedSequences,
       kv => {
         getReferenceRegions(kv._1) ++ genomicRdd.getReferenceRegions(kv._2)
-      }).asInstanceOf[GenomicRDD[(T, X), Z]]
+      })
   }
 
   /**
@@ -1281,7 +1294,7 @@ trait GenomicRDD[T, U <: GenomicRDD[T, U]] extends Logging {
   }
 }
 
-private case class GenericGenomicRDD[T](
+case class GenericGenomicRDD[T] private[rdd] (
     rdd: RDD[T],
     sequences: SequenceDictionary,
     regionFn: T => Seq[ReferenceRegion],
@@ -1383,6 +1396,20 @@ trait GenomicDataset[T, U <: Product, V <: GenomicDataset[T, U, V]] extends Geno
    *   metadata (sequence dictionary, and etc) is copied without modification.
    */
   def transformDataset(tFn: Dataset[U] => Dataset[U]): V
+
+  /**
+   * Applies a function that transmutes the underlying RDD into a new RDD of a
+   * different type.
+   *
+   * @param tFn A function that transforms the underlying RDD.
+   * @return A new RDD where the RDD of genomic data has been replaced, but the
+   *   metadata (sequence dictionary, and etc) is copied without modification.
+   */
+  def transmuteDataset[X <: Product, Y <: GenomicDataset[_, X, Y]](
+    tFn: Dataset[U] => Dataset[X])(
+      implicit convFn: (V, Dataset[X]) => Y): Y = {
+    convFn(this.asInstanceOf[V], tFn(dataset))
+  }
 }
 
 /**

adam-core/src/test/scala/org/bdgenomics/adam/rdd/contig/NucleotideContigFragmentRDDSuite.scala

@@ -20,12 +20,85 @@ package org.bdgenomics.adam.rdd.contig
 import java.io.File
 
 import com.google.common.io.Files
+import org.apache.spark.sql.SQLContext
 import org.bdgenomics.adam.models._
 import org.bdgenomics.adam.rdd.ADAMContext._
+import org.bdgenomics.adam.rdd.feature.{ CoverageRDD, FeatureRDD }
+import org.bdgenomics.adam.rdd.fragment.FragmentRDD
+import org.bdgenomics.adam.rdd.read.AlignmentRecordRDD
+import org.bdgenomics.adam.rdd.variant.{
+  GenotypeRDD,
+  VariantRDD,
+  VariantContextRDD
+}
+import org.bdgenomics.adam.sql.{
+  AlignmentRecord => AlignmentRecordProduct,
+  Feature => FeatureProduct,
+  Fragment => FragmentProduct,
+  Genotype => GenotypeProduct,
+  NucleotideContigFragment => NucleotideContigFragmentProduct,
+  Variant => VariantProduct
+}
 import org.bdgenomics.adam.util.ADAMFunSuite
 import org.bdgenomics.formats.avro._
 import scala.collection.mutable.ListBuffer
 
+object NucleotideContigFragmentRDDSuite extends Serializable {
+
+  def covFn(ncf: NucleotideContigFragment): Coverage = {
+    Coverage(ncf.getContigName,
+      ncf.getStart,
+      ncf.getEnd,
+      1)
+  }
+
+  def featFn(ncf: NucleotideContigFragment): Feature = {
+    Feature.newBuilder
+      .setContigName(ncf.getContigName)
+      .setStart(ncf.getStart)
+      .setEnd(ncf.getEnd)
+      .build
+  }
+
+  def fragFn(ncf: NucleotideContigFragment): Fragment = {
+    Fragment.newBuilder
+      .setReadName(ncf.getContigName)
+      .build
+  }
+
+  def genFn(ncf: NucleotideContigFragment): Genotype = {
+    Genotype.newBuilder
+      .setContigName(ncf.getContigName)
+      .setStart(ncf.getStart)
+      .setEnd(ncf.getEnd)
+      .build
+  }
+
+  def readFn(ncf: NucleotideContigFragment): AlignmentRecord = {
+    AlignmentRecord.newBuilder
+      .setContigName(ncf.getContigName)
+      .setStart(ncf.getStart)
+      .setEnd(ncf.getEnd)
+      .build
+  }
+
+  def varFn(ncf: NucleotideContigFragment): Variant = {
+    Variant.newBuilder
+      .setContigName(ncf.getContigName)
+      .setStart(ncf.getStart)
+      .setEnd(ncf.getEnd)
+      .build
+  }
+
+  def vcFn(ncf: NucleotideContigFragment): VariantContext = {
+    VariantContext(Variant.newBuilder
+      .setContigName(ncf.getContigName)
+      .setStart(ncf.getStart)
+      .setEnd(ncf.getEnd)
+      .build)
+  }
+}
+
 class NucleotideContigFragmentRDDSuite extends ADAMFunSuite {
 
   sparkTest("union two ncf rdds together") {
@@ -553,4 +626,189 @@ class NucleotideContigFragmentRDDSuite extends ADAMFunSuite {
       optPredicate = Some(ReferenceRegion("HLA-DQB1*05:01:01:02", 500L, 1500L).toPredicate))
     assert(fragments3.rdd.count === 2)
   }
+
+  sparkTest("transform contigs to coverage rdd") {
+    val contigs = sc.loadFasta(testFile("HLA_DQB1_05_01_01_02.fa"), 1000L)
+
+    def checkSave(coverage: CoverageRDD) {
+      val tempPath = tmpLocation(".bed")
+      coverage.save(tempPath, false, false)
+
+      assert(sc.loadCoverage(tempPath).rdd.count === 8)
+    }
+
+    val coverage: CoverageRDD = contigs.transmute(rdd => {
+      rdd.map(NucleotideContigFragmentRDDSuite.covFn)
+    })
+
+    checkSave(coverage)
+
+    val sqlContext = SQLContext.getOrCreate(sc)
+    import sqlContext.implicits._
+
+    val coverageDs: CoverageRDD = contigs.transmuteDataset(ds => {
+      ds.map(r => NucleotideContigFragmentRDDSuite.covFn(r.toAvro))
+    })
+
+    checkSave(coverageDs)
+  }
+
+  sparkTest("transform contigs to feature rdd") {
+    val contigs = sc.loadFasta(testFile("HLA_DQB1_05_01_01_02.fa"), 1000L)
+
+    def checkSave(features: FeatureRDD) {
+      val tempPath = tmpLocation(".bed")
+      features.saveAsBed(tempPath)
+
+      assert(sc.loadFeatures(tempPath).rdd.count === 8)
+    }
+
+    val features: FeatureRDD = contigs.transmute(rdd => {
+      rdd.map(NucleotideContigFragmentRDDSuite.featFn)
+    })
+
+    checkSave(features)
+
+    val sqlContext = SQLContext.getOrCreate(sc)
+    import sqlContext.implicits._
+
+    val featuresDs: FeatureRDD = contigs.transmuteDataset(ds => {
+      ds.map(r => {
+        FeatureProduct.fromAvro(
+          NucleotideContigFragmentRDDSuite.featFn(r.toAvro))
+      })
+    })
+
+    checkSave(featuresDs)
+  }
+
+  sparkTest("transform contigs to fragment rdd") {
+    val contigs = sc.loadFasta(testFile("HLA_DQB1_05_01_01_02.fa"), 1000L)
+
+    def checkSave(fragments: FragmentRDD) {
+      val tempPath = tmpLocation(".adam")
+      fragments.saveAsParquet(tempPath)
+
+      assert(sc.loadFragments(tempPath).rdd.count === 8)
+    }
+
+    val fragments: FragmentRDD = contigs.transmute(rdd => {
+      rdd.map(NucleotideContigFragmentRDDSuite.fragFn)
+    })
+
+    checkSave(fragments)
+
+    val sqlContext = SQLContext.getOrCreate(sc)
+    import sqlContext.implicits._
+
+    val fragmentsDs: FragmentRDD = contigs.transmuteDataset(ds => {
+      ds.map(r => {
+        FragmentProduct.fromAvro(
+          NucleotideContigFragmentRDDSuite.fragFn(r.toAvro))
+      })
+    })
+
+    checkSave(fragmentsDs)
+  }
+
+  sparkTest("transform contigs to read rdd") {
+    val contigs = sc.loadFasta(testFile("HLA_DQB1_05_01_01_02.fa"), 1000L)
+
+    def checkSave(reads: AlignmentRecordRDD) {
+      val tempPath = tmpLocation(".adam")
+      reads.saveAsParquet(tempPath)
+
+      assert(sc.loadAlignments(tempPath).rdd.count === 8)
+    }
+
+    val reads: AlignmentRecordRDD = contigs.transmute(rdd => {
+      rdd.map(NucleotideContigFragmentRDDSuite.readFn)
+    })
+
+    checkSave(reads)
+
+    val sqlContext = SQLContext.getOrCreate(sc)
+    import sqlContext.implicits._
+
+    val readsDs: AlignmentRecordRDD = contigs.transmuteDataset(ds => {
+      ds.map(r => {
+        AlignmentRecordProduct.fromAvro(
+          NucleotideContigFragmentRDDSuite.readFn(r.toAvro))
+      })
+    })
+
+    checkSave(readsDs)
+  }
+
+  sparkTest("transform contigs to genotype rdd") {
+    val contigs = sc.loadFasta(testFile("HLA_DQB1_05_01_01_02.fa"), 1000L)
+
+    def checkSave(genotypes: GenotypeRDD) {
+      val tempPath = tmpLocation(".adam")
+      genotypes.saveAsParquet(tempPath)
+
+      assert(sc.loadGenotypes(tempPath).rdd.count === 8)
+    }
+
+    val genotypes: GenotypeRDD = contigs.transmute(rdd => {
+      rdd.map(NucleotideContigFragmentRDDSuite.genFn)
+    })
+
+    checkSave(genotypes)
+
+    val sqlContext = SQLContext.getOrCreate(sc)
+    import sqlContext.implicits._
+
+    val genotypesDs: GenotypeRDD = contigs.transmuteDataset(ds => {
+      ds.map(r => {
+        GenotypeProduct.fromAvro(
+          NucleotideContigFragmentRDDSuite.genFn(r.toAvro))
+      })
+    })
+
+    checkSave(genotypesDs)
+  }
+
+  sparkTest("transform contigs to variant rdd") {
+    val contigs = sc.loadFasta(testFile("HLA_DQB1_05_01_01_02.fa"), 1000L)
+
+    def checkSave(variants: VariantRDD) {
+      val tempPath = tmpLocation(".adam")
+      variants.saveAsParquet(tempPath)
+
+      assert(sc.loadVariants(tempPath).rdd.count === 8)
+    }
+
+    val variants: VariantRDD = contigs.transmute(rdd => {
+      rdd.map(NucleotideContigFragmentRDDSuite.varFn)
+    })
+
+    checkSave(variants)
+
+    val sqlContext = SQLContext.getOrCreate(sc)
+    import sqlContext.implicits._
+
+    val variantsDs: VariantRDD = contigs.transmuteDataset(ds => {
+      ds.map(r => {
+        VariantProduct.fromAvro(
+          NucleotideContigFragmentRDDSuite.varFn(r.toAvro))
+      })
+    })
+
+    checkSave(variantsDs)
+  }
+
+  sparkTest("transform contigs to variant context rdd") {
+    val contigs = sc.loadFasta(testFile("HLA_DQB1_05_01_01_02.fa"), 1000L)
+
+    def checkSave(variantContexts: VariantContextRDD) {
+      assert(variantContexts.rdd.count === 8)
+    }
+
+    val variantContexts: VariantContextRDD = contigs.transmute(rdd => {
+      rdd.map(NucleotideContigFragmentRDDSuite.vcFn)
+    })
+
+    checkSave(variantContexts)
+  }
 }