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package forge.eval
import ammonite.ops._
import forge.define.Target
import forge.discover.Labelled
import forge.util.{Args, MultiBiMap, OSet}
import play.api.libs.json.{Format, JsValue, Json}
import scala.collection.mutable
class Evaluator(workspacePath: Path,
labeling: Map[Target[_], Labelled[_]]){
def evaluate(targets: OSet[Target[_]]): Evaluator.Results = {
mkdir(workspacePath)
val sortedGroups = Evaluator.groupAroundNamedTargets(
Evaluator.topoSortedTransitiveTargets(targets),
labeling
)
val evaluated = new OSet.Mutable[Target[_]]
val results = mutable.LinkedHashMap.empty[Target[_], Any]
for (groupIndex <- sortedGroups.keys()){
val group = sortedGroups.lookupKey(groupIndex)
val (newResults, newEvaluated) = evaluateGroupCached(
group,
results,
sortedGroups
)
evaluated.appendAll(newEvaluated)
for((k, v) <- newResults) results.put(k, v)
}
Evaluator.Results(targets.items.map(results), evaluated)
}
def evaluateGroupCached(group: OSet[Target[_]],
results: collection.Map[Target[_], Any],
sortedGroups: MultiBiMap[Int, Target[_]]): (collection.Map[Target[_], Any], Seq[Target[_]]) = {
val (externalInputs, terminals) = partitionGroupInputOutput(group, results)
val inputsHash =
externalInputs.toIterator.map(results).toVector.hashCode +
group.toIterator.map(_.sideHash).toVector.hashCode()
val primeLabel = labeling(terminals.items(0)).segments
val targetDestPath = workspacePath / primeLabel
val metadataPath = targetDestPath / up / (targetDestPath.last + ".forge.json")
val cached = for{
json <- scala.util.Try(Json.parse(read.getInputStream(metadataPath))).toOption
(cachedHash, terminalResults) <- Json.fromJson[(Int, Seq[JsValue])](json).asOpt
if cachedHash == inputsHash
} yield terminalResults
cached match{
case Some(terminalResults) =>
val newResults = mutable.LinkedHashMap.empty[Target[_], Any]
for((terminal, res) <- terminals.items.zip(terminalResults)){
newResults(terminal) = labeling(terminal).format.reads(res).get
}
(newResults, Nil)
case _ =>
val (newResults, newEvaluated, terminalResults) = evaluateGroup(group, results, targetDestPath)
write.over(
metadataPath,
Json.prettyPrint(
Json.toJson(inputsHash -> terminals.toList.map(terminalResults))
),
)
(newResults, newEvaluated)
}
}
def partitionGroupInputOutput(group: OSet[Target[_]],
results: collection.Map[Target[_], Any]) = {
val allInputs = group.items.flatMap(_.inputs)
val (internalInputs, externalInputs) = allInputs.partition(group.contains)
val internalInputSet = internalInputs.toSet
val terminals = group.filter(!internalInputSet(_))
(OSet.from(externalInputs.distinct), terminals)
}
def evaluateGroup(group: OSet[Target[_]],
results: collection.Map[Target[_], Any],
targetDestPath: Path) = {
rm(targetDestPath)
val terminalResults = mutable.LinkedHashMap.empty[Target[_], JsValue]
val newEvaluated = mutable.Buffer.empty[Target[_]]
val newResults = mutable.LinkedHashMap.empty[Target[_], Any]
for (target <- group.items) {
newEvaluated.append(target)
val targetInputValues = target.inputs.toVector.map(x =>
newResults.getOrElse(x, results(x))
)
val args = new Args(targetInputValues, targetDestPath)
val res = target.evaluate(args)
for(targetLabel <- labeling.get(target)){
terminalResults(target) = targetLabel
.format
.asInstanceOf[Format[Any]]
.writes(res.asInstanceOf[Any])
}
newResults(target) = res
}
(newResults, newEvaluated, terminalResults)
}
}
object Evaluator{
class TopoSorted private[Evaluator] (val values: OSet[Target[_]])
case class Results(values: Seq[Any], evaluated: OSet[Target[_]])
def groupAroundNamedTargets(topoSortedTargets: TopoSorted,
labeling: Map[Target[_], Labelled[_]]): MultiBiMap[Int, Target[_]] = {
val grouping = new MultiBiMap.Mutable[Int, Target[_]]()
var groupCount = 0
for(target <- topoSortedTargets.values.items.reverseIterator){
if (!grouping.containsValue(target)){
grouping.add(groupCount, target)
groupCount += 1
}
val targetGroup = grouping.lookupValue(target)
for(upstream <- target.inputs){
grouping.lookupValueOpt(upstream) match{
case None if !labeling.contains(upstream) =>
grouping.add(targetGroup, upstream)
case Some(upstreamGroup) if upstreamGroup == targetGroup =>
val upstreamTargets = grouping.removeAll(upstreamGroup)
grouping.addAll(targetGroup, upstreamTargets)
case _ => //donothing
}
}
}
val targetOrdering = topoSortedTargets.values.items.zipWithIndex.toMap
val output = new MultiBiMap.Mutable[Int, Target[_]]
// Sort groups amongst themselves, and sort the contents of each group
// before aggregating it into the final output
for(g <- grouping.values().toArray.sortBy(g => targetOrdering(g.items(0)))){
output.addAll(output.keys.length, g.toArray.sortBy(targetOrdering))
}
output
}
/**
* Takes the given targets, finds all the targets they transitively depend
* on, and sort them topologically. Fails if there are dependency cycles
*/
def topoSortedTransitiveTargets(sourceTargets: OSet[Target[_]]): TopoSorted = {
val transitiveTargets = new OSet.Mutable[Target[_]]
def rec(t: Target[_]): Unit = {
if (transitiveTargets.contains(t)) () // do nothing
else {
transitiveTargets.append(t)
t.inputs.foreach(rec)
}
}
sourceTargets.items.foreach(rec)
val targetIndices = transitiveTargets.items.zipWithIndex.toMap
val numberedEdges =
for(t <- transitiveTargets.items)
yield t.inputs.map(targetIndices)
val sortedClusters = Tarjans(numberedEdges)
val nonTrivialClusters = sortedClusters.filter(_.length > 1)
assert(nonTrivialClusters.isEmpty, nonTrivialClusters)
new TopoSorted(OSet.from(sortedClusters.flatten.map(transitiveTargets.items)))
}
}
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