def runApp(configHandler, mongoHandler, traceImporter, Params):
sc = None
if Params.isParallelExecution:
sc = utils.createSparkContext(Params)
print ("NUMBER OF TASKS USED = " + str(Params.numTasks) + \
" PlEASE provide correct number should be a factor of number of workers (e.g. 5 * NUM WORKERS). PySpark API doesn't know number of workers :(")
# TODO CPaduraru: hacked see the other comments in this file about spark / serialization of process issue
recreateTracerProcessAtEachNewFolder = True # isParallelExecution
# One tracer process opened for each task. Basically these will be working processes sleeping most of the time so it shouldn't affect performance
tracerProcesses = []
if not recreateTracerProcessAtEachNewFolder:
createSimpleTracerProcesses(tracerProcesses, Params)
#---
t0 = time.time()
testIndex = 0
previousPopulation = None
while True:
print("INFO: Starting generation [%d]" % testIndex)
# The noEdgeProbability represents the value to use in fitness evaluation when an edge was not encountered yet in the probabilities map
d = utils.getFolderPathFromId(testIndex)
if previousPopulation and Params.driver:
individuals = previousPopulation.getpopulation()
probabilities.updateFromDB(individuals, traceImporter,
Params.entryTemplate)
workerRes = execute(sc, traceImporter, Params, tracerProcesses)
previousPopulation = workerRes.population
# TODO CPaduraru: again a horrible hack because python closure can include a subprocess data.
# After solve (map part), the tracer process is set on None so we must create it back to generate new tests folder
if recreateTracerProcessAtEachNewFolder:
cmd = utils.createTracerCmd(Params)
workerRes.evalFunctor.tracerProcess = utils.createTracerProcess(
cmd, int(Params.inputLength))
#-----------
# TODO Cpaduraru: hack associated with the one above
if recreateTracerProcessAtEachNewFolder:
utils.stopTracerProcess(workerRes.evalFunctor.tracerProcess)
#------
testIndex += 1
## Disconnect from external Driver components
traceImporter.clear()
# Now stop all tracer processes
if not recreateTracerProcessAtEachNewFolder:
stopSimpleTracerProcesses(tracerProcesses)
dt = time.time() - t0
print("Time to solve : %fs" % dt)
def stopTracerProcess(self):
if self.isRunningInParallel:
utils.stopTracerProcess(self.evalFunctor.tracerProcess)
self.evalFunctor.tracerProcess = None
def stopSimpleTracerProcesses(listOfProcesses):
for p in listOfProcesses:
utils.stopTracerProcess(p)