InvariantChecker.scala 3.26 KB
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package de.tum.workflows.toz3

import de.tum.workflows.blocks._
import de.tum.workflows.foltl.FOLTL._
import de.tum.workflows.ltl.LTL
import de.tum.workflows.Implicits._
import de.tum.workflows.WorkflowParser
import de.tum.workflows.Encoding
import de.tum.workflows.Preconditions
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import de.tum.workflows.foltl.Properties.T1
import de.tum.workflows.foltl.Properties.T2
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import scalax.collection.edge.LDiEdge // labeled directed edge
import com.microsoft.z3.Context
import java.util.HashMap
import org.omg.CORBA.TIMEOUT
import com.microsoft.z3.Status
import com.typesafe.scalalogging.LazyLogging
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import de.tum.workflows.foltl.Properties
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object InvariantChecker extends LazyLogging {
  
  val TIMEOUT = 60000 // in milliseconds
  
  def checkOnZ3(f:Formula) = {
      // Set up Z3
      val cfg = new HashMap[String, String]()
      cfg.put("timeout", TIMEOUT.toString())
      val ctx = new Context(cfg)
//      val t = ctx.andThen(ctx.mkTactic("qe"), ctx.mkTactic("smt"))
      val s = ctx.mkSolver()

      s.add(toZ3.translate(f, ctx))
      
      // Send to z3
      val c = s.check()
      if (c == Status.UNKNOWN) {
        logger.info(s"Z3 status unknown: ${s.getReasonUnknown()}")
      }
      if (c == Status.SATISFIABLE) {
        logger.info(s"Z3 model:\n${s.getModel()}")
      }
      c
  }
  
  def checkStubborn(w:Workflow, inv:Formula) = {
    
    // Build graph
    val graph = Encoding.toGraph(w)
    
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    val msg = new StringBuilder()
    msg ++= s"Trying to prove safe with invariant:\n${inv.pretty()}"
    
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    // Check all edges 
    val list = for (e <- graph.edges) yield {
      
      // Check I -> WP[w](inv)
      val b:SimpleBlock = e
      val precond = Preconditions.weakestPrecondition(inv, b)
      
      // Stubborn agents -> remove trace variable from choice predicate
      val stubprecond = precond.everywhere {
        case Fun(f, i, p) if b.may && f == b.pred.get => Fun(f, p)
      }
      
      val f = Implies(inv, stubprecond)
      
      logger.info(s"Checking invariant implication for ${e.label}")
      val tocheck = Neg(f).simplify()
      
      val res = checkOnZ3(tocheck)
      if (res != Status.UNSATISFIABLE) {
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        msg ++= s"Possibly unsafe: Block\n${e.label}\nmay not uphold invariant."
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        logger.info(s"Could not prove invariant $inv")
        logger.info(s"Z3 status $res")
        logger.info(s"Block ${e.label} may not uphold it")
      }
      res == Status.UNSATISFIABLE
    }
    
    val safe = list.reduceLeft(_ && _)
    if (safe) {
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      msg ++= s"Proven safe."
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      logger.info(s"Workflow $w\n proven safe for invariant:\n${inv.pretty()}")
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    }
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    (safe, msg)
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  }
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  def genEq(f:Fun, p:List[Var]) = {
    val newf = f.parallelRename(f.params, p)
    Eq(newf.in(T1), newf.in(T2))
  }
  
  def invariantNoninterStubborn(spec:Spec) = {
    val agent = spec.target.params(0)
    
    val premise = And.make(for ((o,t) <- spec.declass) yield {
      // Forall fv(o). (t_T1 or t_t2) /\ G (o_T1 <-> o_T2) 
      Forall(o.freeVars().toList, And(Or(t.in(T1), t.in(T2)), Eq(o.in(T1), o.in(T2))))
    })
    
    val conclusion = And.make(for (r <- spec.w.sig.preds.toList if r.params.head.typ == agent.typ) yield {
      val quant = r.params.drop(1)
      Forall(quant, genEq(r, agent::quant))
    })
    
    Forall(agent, Implies(premise, conclusion))
  }
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}