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package mill.eval
import ammonite.ops._
import mill.define.{Target, Task}
import mill.discover.Mirror.LabelledTarget
import mill.util
import mill.util.{Args, MultiBiMap, OSet}
import scala.collection.mutable
class Evaluator(workspacePath: Path,
labeling: Map[Target[_], LabelledTarget[_]],
log: String => Unit){
def evaluate(goals: OSet[Task[_]]): Evaluator.Results = {
mkdir(workspacePath)
val transitive = Evaluator.transitiveTargets(goals)
val topoSorted = Evaluator.topoSorted(transitive)
val sortedGroups = Evaluator.groupAroundImportantTargets(topoSorted){
case t: Target[_] if labeling.contains(t) || goals.contains(t) => Right(labeling(t))
case t if goals.contains(t) => Left(t)
}
val evaluated = new OSet.Mutable[Task[_]]
val results = mutable.LinkedHashMap.empty[Task[_], Result[Any]]
for ((terminal, group)<- sortedGroups.items()){
val (newResults, newEvaluated) = evaluateGroupCached(
terminal,
group,
results
)
for(ev <- newEvaluated){
evaluated.append(ev)
}
for((k, v) <- newResults) results.put(k, v)
}
val failing = new util.MultiBiMap.Mutable[Either[Task[_], LabelledTarget[_]], Result.Failing]
for((k, vs) <- sortedGroups.items){
failing.addAll(k, vs.items.flatMap(results.get).collect{case f: Result.Failing => f})
}
Evaluator.Results(goals.indexed.map(results), evaluated, transitive, failing)
}
def resolveDestPaths(t: LabelledTarget[_]): (Path, Path) = {
val targetDestPath = workspacePath / t.segments
val metadataPath = targetDestPath / up / (targetDestPath.last + ".mill.json")
(targetDestPath, metadataPath)
}
def evaluateGroupCached(terminal: Either[Task[_], LabelledTarget[_]],
group: OSet[Task[_]],
results: collection.Map[Task[_], Result[Any]]): (collection.Map[Task[_], Result[Any]], Seq[Task[_]]) = {
val externalInputs = group.items.flatMap(_.inputs).filter(!group.contains(_))
val inputsHash =
externalInputs.map(results).toVector.hashCode +
group.toIterator.map(_.sideHash).toVector.hashCode()
terminal match{
case Left(task) => evaluateGroup(group, results, None)
case Right(labelledTarget) =>
val (destPath, metadataPath) = resolveDestPaths(labelledTarget)
val cached = for{
json <- scala.util.Try(upickle.json.read(read(metadataPath))).toOption
(cachedHash, terminalResult) <- scala.util.Try(upickle.default.readJs[(Int, upickle.Js.Value)](json)).toOption
if cachedHash == inputsHash
} yield terminalResult
cached match{
case Some(terminalResult) =>
val newResults = mutable.LinkedHashMap.empty[Task[_], Result[Any]]
newResults(labelledTarget.target) = labelledTarget.format.read(terminalResult)
(newResults, Nil)
case _ =>
log("Running " + labelledTarget.segments.mkString("."))
if (labelledTarget.target.flushDest) rm(destPath)
val (newResults, newEvaluated) = evaluateGroup(group, results, Some(destPath))
newResults(labelledTarget.target) match{
case Result.Success(v) =>
val terminalResult = labelledTarget
.format
.asInstanceOf[upickle.default.ReadWriter[Any]]
.write(v)
write.over(metadataPath, upickle.default.write(inputsHash -> terminalResult, indent = 4))
case _ =>
}
(newResults, newEvaluated)
}
}
}
def evaluateGroup(group: OSet[Task[_]],
results: collection.Map[Task[_], Result[Any]],
targetDestPath: Option[Path]) = {
val newEvaluated = mutable.Buffer.empty[Task[_]]
val newResults = mutable.LinkedHashMap.empty[Task[_], Result[Any]]
for (target <- group.items if !results.contains(target)) {
newEvaluated.append(target)
val targetInputValues = target.inputs
.map(x => newResults.getOrElse(x, results(x)))
.collect{ case Result.Success(v) => v }
val res =
if (targetInputValues.length != target.inputs.length) Result.Skipped
else {
val args = new Args(targetInputValues.toArray[Any], targetDestPath.orNull)
target.evaluate(args)
}
newResults(target) = res
}
(newResults, newEvaluated)
}
}
object Evaluator{
class TopoSorted private[Evaluator](val values: OSet[Task[_]])
case class Results(rawValues: Seq[Result[Any]],
evaluated: OSet[Task[_]],
transitive: OSet[Task[_]],
failing: MultiBiMap[Either[Task[_], LabelledTarget[_]], Result.Failing]){
def values = rawValues.collect{case Result.Success(v) => v}
}
def groupAroundImportantTargets[T](topoSortedTargets: TopoSorted)
(important: PartialFunction[Task[_], T]): MultiBiMap[T, Task[_]] = {
val output = new MultiBiMap.Mutable[T, Task[_]]()
for ((target, t) <- topoSortedTargets.values.flatMap(t => important.lift(t).map((t, _)))) {
val transitiveTargets = new OSet.Mutable[Task[_]]
def rec(t: Task[_]): Unit = {
if (transitiveTargets.contains(t)) () // do nothing
else if (important.isDefinedAt(t) && t != target) () // do nothing
else {
transitiveTargets.append(t)
t.inputs.foreach(rec)
}
}
rec(target)
output.addAll(t, topoSorted(transitiveTargets).values)
}
output
}
def transitiveTargets(sourceTargets: OSet[Task[_]]): OSet[Task[_]] = {
val transitiveTargets = new OSet.Mutable[Task[_]]
def rec(t: Task[_]): Unit = {
if (transitiveTargets.contains(t)) () // do nothing
else {
transitiveTargets.append(t)
t.inputs.foreach(rec)
}
}
sourceTargets.items.foreach(rec)
transitiveTargets
}
/**
* Takes the given targets, finds all the targets they transitively depend
* on, and sort them topologically. Fails if there are dependency cycles
*/
def topoSorted(transitiveTargets: OSet[Task[_]]): TopoSorted = {
val indexed = transitiveTargets.indexed
val targetIndices = indexed.zipWithIndex.toMap
val numberedEdges =
for(t <- transitiveTargets.items)
yield t.inputs.collect(targetIndices)
val sortedClusters = Tarjans(numberedEdges)
val nonTrivialClusters = sortedClusters.filter(_.length > 1)
assert(nonTrivialClusters.isEmpty, nonTrivialClusters)
new TopoSorted(OSet.from(sortedClusters.flatten.map(indexed)))
}
}
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