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package hu.bme.mit.inf.dslreasoner.domains.cps.dse
import hu.bme.mit.inf.dslreasoner.domains.cps.CpsFactory
import hu.bme.mit.inf.dslreasoner.domains.cps.CpsPackage
import hu.bme.mit.inf.dslreasoner.domains.cps.CyberPhysicalSystem
import hu.bme.mit.inf.dslreasoner.domains.cps.queries.Allocate
import hu.bme.mit.inf.dslreasoner.domains.cps.queries.AverageFreeHddMetric
import hu.bme.mit.inf.dslreasoner.domains.cps.queries.AverageFreeMemoryMetric
import hu.bme.mit.inf.dslreasoner.domains.cps.queries.CostMetric
import hu.bme.mit.inf.dslreasoner.domains.cps.queries.CreateHostInstance
import hu.bme.mit.inf.dslreasoner.domains.cps.queries.GuidanceObjective
import hu.bme.mit.inf.dslreasoner.domains.cps.queries.RequirementNotSatisfied
import hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner.optimization.CompositeDirectionalThresholdObjective
import hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner.optimization.ObjectiveKind
import hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner.optimization.ObjectiveThreshold
import hu.bme.mit.inf.dslreasoner.viatrasolver.reasoner.optimization.QueryBasedObjective
import org.eclipse.viatra.dse.api.DesignSpaceExplorer
import org.eclipse.viatra.dse.evolutionary.EvolutionaryStrategyBuilder
import org.eclipse.viatra.transformation.runtime.emf.rules.batch.BatchTransformationRuleFactory
class RuleBasedCpsSolver {
extension val BatchTransformationRuleFactory = new BatchTransformationRuleFactory
extension val CpsFactory = CpsFactory.eINSTANCE
def solve(CyberPhysicalSystem problem) {
// for (request : problem.requests) {
// for (req : request.requirements) {
// for (i : 0 ..< req.count) {
// val app = createApplicationInstance
// req.type.instances += app
// req.instances += app
// }
// }
// }
val dse = new DesignSpaceExplorer
dse.addMetaModelPackage(CpsPackage.eINSTANCE)
dse.initialModel = problem.eResource.resourceSet
dse.addTransformationRule(createRule.precondition(RequirementNotSatisfied.instance).action [
val app = createApplicationInstance
req.type.instances += app
req.instances += app
].build)
dse.addTransformationRule(createRule.precondition(Allocate.instance).action [
app.allocatedTo = host
].build)
// dse.addTransformationRule(createRule(UnallocateAppInstance.instance).action [
// app.allocatedTo = null
// ].build)
dse.addTransformationRule(createRule.precondition(CreateHostInstance.instance).action [
hostType.instances += createHostInstance
].build)
// dse.addTransformationRule(createRule(RemoveHostInstance.instance).action [
// hostInstance.type.instances -= hostInstance
// ].build)
dse.addObjective(
new CompositeDirectionalThresholdObjective("Composite",
new QueryBasedObjective(GuidanceObjective.instance, ObjectiveKind.LOWER_IS_BETTER,
new ObjectiveThreshold.Inclusive(0), 0),
new QueryBasedObjective(AverageFreeMemoryMetric.instance, ObjectiveKind.LOWER_IS_BETTER,
new ObjectiveThreshold.Inclusive(0.75), 0),
new QueryBasedObjective(AverageFreeHddMetric.instance, ObjectiveKind.LOWER_IS_BETTER,
new ObjectiveThreshold.Inclusive(0.75), 0)))
dse.addObjective(
new QueryBasedObjective(CostMetric.instance, ObjectiveKind.LOWER_IS_BETTER,
ObjectiveThreshold.NO_THRESHOLD, 0))
dse.maxNumberOfThreads = 1
dse.stateCoderFactory = new CpsStateCoder.Factory
val strategy = EvolutionaryStrategyBuilder.createNsga2Strategy(25)
dse.startExplorationWithTimeout(strategy, 2 * 60 * 1000)
for (solution : dse.solutions) {
println("Found solution: " + solution.stateCode + " " + solution.arbitraryTrajectory.fitness)
}
}
}
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