Created
April 10, 2013 14:48
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Steps Graph
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package com.busk.stepsgraph | |
import akka.dispatch.{ ExecutionContext, Promise, Future, Await } | |
import java.util.concurrent.{ Executors, ExecutorService} | |
import akka.util.duration._ | |
import collection.mutable.HashMap | |
object StepsGraph { | |
def step[R, U](stepname: String, depStep: Step[_, U])(f: U => R): Step[U, R] = { | |
Step[U, R](stepname, Seq(depStep), f) | |
} | |
def step[R, U, T](stepname: String, depStep: Step[_, U], depStep2: Step[_, T]) | |
(f: (U, T) => R): Step[(U, T), R] = { | |
val tupledFunc = f.tupled | |
Step[(U, T), R](stepname, Seq(depStep, depStep2), tupledFunc) | |
} | |
def step[R, U, T, V](stepname: String, depStep: Step[_, U], depStep2: Step[_, T], depStep3: Step[_, V]) | |
(f: (U, T, V) => R): Step[(U, T, V), R] = { | |
val tupledFunc = f.tupled | |
Step[(U, T, V), R](stepname, Seq(depStep, depStep2, depStep3), tupledFunc) | |
} | |
def step[R, U, T, V, X](stepname: String, depStep: Step[_, U], depStep2: Step[_, T], | |
depStep3: Step[_, V], depStep4: Step[_, X]) | |
(f: (U, T, V, X) => R): Step[(U, T, V, X), R] = { | |
val tupledFunc = f.tupled | |
Step[(U, T, V, X), R](stepname, Seq(depStep, depStep2, depStep3, depStep4), tupledFunc) | |
} | |
def step[R, U, T, V, X, Y](stepname: String, depStep: Step[_, U], depStep2: Step[_, T], | |
depStep3: Step[_, V], depStep4: Step[_, X], depStep5: Step[_, Y]) | |
(f: (U, T, V, X, Y) => R): Step[(U, T, V, X, Y), R] = { | |
val tupledFunc = f.tupled | |
Step[(U, T, V, X, Y), R](stepname, Seq(depStep, depStep2, depStep3, depStep4, depStep5), tupledFunc) | |
} | |
def step[R, U, T, V, X, Y, Z](stepname: String, depStep: Step[_, U], depStep2: Step[_, T], | |
depStep3: Step[_, V], depStep4: Step[_, X], depStep5: Step[_, Y], depStep6: Step[_, Z]) | |
(f: (U, T, V, X, Y, Z) => R): Step[(U, T, V, X, Y, Z), R] = { | |
val tupledFunc = f.tupled | |
Step[(U, T, V, X, Y, Z), R](stepname, Seq(depStep, depStep2, depStep3, depStep4, depStep5, depStep6), tupledFunc) | |
} | |
def graphParam[T] = new GraphParameter[T] | |
private[stepsgraph] def seqToTuple(seq: Seq[Any]): Any = seq match { | |
case Seq(a) => a | |
case Seq(a, b) => (a, b) | |
case Seq(a, b, c) => (a, b, c) | |
case Seq(a, b, c, d) => (a, b, c, d) | |
case Seq(a, b, c, d, e) => (a, b, c, d, e) | |
case Seq(a, b, c, d, e, f) => (a, b, c, d, e, f) | |
case Seq(a, b, c, d, e, f, g) => (a, b, c, d, e, f, g) | |
case _ => throw new IllegalArgumentException("Empty or too long Seq as parameter for seqToTuple: "+seq) | |
} | |
} | |
case class Step[I, R](stepName: String, dependsOn: Seq[Step[_,_]], f: I => R) { | |
def apply(arg: I) = f(arg) | |
override def toString = "Step("+stepName+")" | |
override def hashCode = stepName.hashCode | |
override def equals(other: Any) = { | |
other match { | |
case e: Step[_, _] => e.stepName == stepName && e.dependsOn == dependsOn | |
case _ => false | |
} | |
} | |
} | |
class GraphParameter[I] extends Step[I, I]("PARAMETER", dependsOn = Seq.empty, (arg: I) => arg) | |
class StepsGraph[I](val param: GraphParameter[I], val steps: Seq[Step[_,_]]) | |
trait CompiledStepsGraph[I] { | |
def apply(arg: I): StepsResult[I] | |
} | |
trait StepsResult[I] { | |
def param: I | |
def apply[I, O](step: Step[I, O]): O | |
} | |
// http://architects.dzone.com/articles/algorithm-week-topological | |
// http://stackoverflow.com/questions/11291926/topological-sorting-of-lists-related-to-a-graph-in-scala | |
class SequentialSteps[I](graph: StepsGraph[I]) extends CompiledStepsGraph[I] { | |
def steps = graph.steps | |
def apply(arg: I): StepsResult[I] = { | |
val results = collection.mutable.HashMap[Step[_,_], Any]() | |
results += (graph.param -> arg) | |
steps foreach { step => | |
executeStep(arg, step, results) | |
} | |
new StepsResult[I] { | |
def param = arg | |
def apply[R, S](step: Step[R, S]): S = { | |
results(step).asInstanceOf[S] | |
} | |
} | |
} | |
protected def executeStep[T, R](arg: I, step: Step[T, R], results: HashMap[Step[_,_], Any]): R = { | |
if (!results.contains(step)) { | |
step.dependsOn.filterNot ( results.contains ) foreach { s => | |
executeStep(arg, s, results) | |
} | |
val resultsDependsOn: Seq[Any] = step.dependsOn map results | |
val x = StepsGraph.seqToTuple(resultsDependsOn) | |
val result = step(x.asInstanceOf[T]) | |
results += (step -> result) | |
result | |
} | |
else | |
results(step).asInstanceOf[R] | |
} | |
} | |
class LazySteps[I](graph: StepsGraph[I]) extends SequentialSteps[I](graph) { | |
override def apply(arg: I): StepsResult[I] = { | |
new StepsResult[I] { | |
def param = arg | |
def apply[R, S](step: Step[R, S]): S = { | |
val r = collection.mutable.HashMap[Step[_,_], Any]() | |
r += (graph.param -> arg) | |
executeStep(arg, step, r) | |
r(step).asInstanceOf[S] | |
} | |
} | |
} | |
} | |
object TFIDF { | |
def countTerms(terms: Array[String]) = | |
terms.groupBy(identity).map { case (term, occurs) => (term, occurs.size) } toSeq | |
def getCounts(terms: Array[String]) = countTerms(terms).toMap | |
def getIdfs(terms: Array[String]) = Map.empty[String,Float].withDefaultValue(1F) | |
def tfidf(idfMap: Map[String, Float], countMap: Map[String, Int]) = | |
countMap map { case (term, count) => ( term -> count * idfMap(term) ) } | |
} | |
object Steps { | |
def main(args: Array[String]): Unit = { | |
import TFIDF._ | |
import StepsGraph._ | |
val param = graphParam[String] | |
val splitted = step("split", param) { txt => txt.split(" ") } | |
val countMap = step("countMap", splitted) { terms => getCounts(terms) } | |
val idfMap = step("idfMap", splitted) { terms => getIdfs(terms) } | |
val tfidfMap = step("tfidfs", idfMap, countMap) { (idfs, counts) => | |
tfidf(idfs, counts) | |
} | |
val graph = new StepsGraph(param, Seq(splitted, countMap, idfMap, tfidfMap)) | |
val steps = new SequentialSteps(graph) | |
val results = steps("hi hello how are you how bla bla ok") | |
println(results(countMap)) | |
} | |
} |
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