Merge branch 'strategy-logs' into theodolite-kotlin

theodolite-quarkus/src/main/kotlin/theodolite/strategies/searchstrategy/BinarySearch.kt

 package theodolite.strategies.searchstrategy
 
+import mu.KotlinLogging
 import theodolite.execution.BenchmarkExecutor
 import theodolite.util.LoadDimension
 import theodolite.util.Resource
 
+private val logger = KotlinLogging.logger {}
+
 /**
  *  Binary-search-like implementation for determining the smallest suitable number of instances.
  *
@@ -32,6 +35,8 @@ class BinarySearch(benchmarkExecutor: BenchmarkExecutor) : SearchStrategy(benchm
         }
         // special case:  length == 1 or 2
         if (lower == upper) {
+            val res = resources[lower]
+            logger.debug { "Running experiment with load $load and resources $res" }
             if (this.benchmarkExecutor.runExperiment(load, resources[lower])) return lower
             else {
                 if (lower + 1 == resources.size) return -1
@@ -41,6 +46,8 @@ class BinarySearch(benchmarkExecutor: BenchmarkExecutor) : SearchStrategy(benchm
             // apply binary search for a list with
             // length > 2 and adjust upper and lower depending on the result for `resources[mid]`
             val mid = (upper + lower) / 2
+            val res = resources[mid]
+            logger.debug { "Running experiment with load $load and resources $res" }
             if (this.benchmarkExecutor.runExperiment(load, resources[mid])) {
                 if (mid == lower) {
                     return lower

theodolite-quarkus/src/main/kotlin/theodolite/strategies/searchstrategy/LinearSearch.kt

 package theodolite.strategies.searchstrategy
 
+import mu.KotlinLogging
 import theodolite.execution.BenchmarkExecutor
 import theodolite.util.LoadDimension
 import theodolite.util.Resource
 
+private val logger = KotlinLogging.logger {}
+
 /**
  *  Linear-search-like implementation for determining the smallest suitable number of instances.
  *
@@ -13,6 +16,8 @@ class LinearSearch(benchmarkExecutor: BenchmarkExecutor) : SearchStrategy(benchm
 
     override fun findSuitableResource(load: LoadDimension, resources: List<Resource>): Resource? {
         for (res in resources) {
+
+            logger.debug { "Running experiment with load $load and resources $res" }
             if (this.benchmarkExecutor.runExperiment(load, res)) return res
         }
         return null