class Worker(threading.Thread):
"""
A Worker is a deamonic thread, that takes jobs from the workingQueue and runs them.
"""
workingQueue = Queue.Queue()
def __init__(self, number, outputHandler):
threading.Thread.__init__(self) # constuctor of superclass
self.numberOfThread = number
self.outputHandler = outputHandler
self.runExecutor = RunExecutor()
self.setDaemon(True)
self.start()
def run(self):
while not Worker.workingQueue.empty() and not STOPPED_BY_INTERRUPT:
currentRun = Worker.workingQueue.get_nowait()
try:
self.execute(currentRun)
except BaseException as e:
print(e)
Worker.workingQueue.task_done()
def execute(self, run):
"""
This function executes the tool with a sourcefile with options.
It also calls functions for output before and after the run.
"""
self.outputHandler.outputBeforeRun(run)
(run.wallTime, run.cpuTime, run.memUsage, returnvalue, output) = \
self.runExecutor.executeRun(
run.getCmdline(), run.benchmark.rlimits, run.logFile,
myCpuIndex=self.numberOfThread,
environments=run.benchmark.getEnvironments(),
runningDir=run.benchmark.workingDirectory(),
maxLogfileSize=config.maxLogfileSize)
if self.runExecutor.PROCESS_KILLED:
# If the run was interrupted, we ignore the result and cleanup.
run.wallTime = 0
run.cpuTime = 0
try:
if config.debug:
os.rename(run.logFile, run.logFile + ".killed")
else:
os.remove(run.logFile)
except OSError:
pass
return
run.afterExecution(returnvalue, output)
self.outputHandler.outputAfterRun(run)
def stop(self):
# asynchronous call to runexecutor,
# the worker will stop asap, but not within this method.
self.runExecutor.kill()
def main(argv=None):
if argv is None:
argv = sys.argv
#sys.stderr.write(str(argv)+"\n")
if len(argv) >= 5 and len(argv) <=6:
rlimits={}
data = eval(argv[1]) # arg[1] is a string-representation of a data-structure
args = data.get("args", [])
env = data.get("env", {})
debugEnabled = data.get("debug", False)
logfileSize = data.get("maxLogfileSize", 20) # MB
if debugEnabled:
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s",
level=logging.DEBUG)
else:
logging.basicConfig(format="%(asctime)s - %(levelname)s - %(message)s")
if not (argv[2]=="-1" or argv[2]=="None"):
rlimits[MEMLIMIT] = int(argv[2])
rlimits[TIMELIMIT] = int(argv[3])
outputFileName = argv[4]
if(len(argv) == 6):
rlimits[CORELIMIT] = int(argv[5])
global runExecutor
runExecutor = RunExecutor()
logging.debug("runExecutor.executeRun() started.")
(wallTime, cpuTime, memUsage, returnvalue, output) = \
runExecutor.executeRun(args, rlimits, outputFileName, environments=env, maxLogfileSize=logfileSize);
logging.debug("runExecutor.executeRun() ended.")
print("Walltime: " + str(wallTime))
print("CpuTime: " + str(cpuTime))
print("MemoryUsage: " + str(memUsage))
print("Returnvalue: " + str(returnvalue))
return returnvalue
else:
sys.exit("Wrong number of arguments, expected exactly 4 or 5: <command> <memlimit in MB> <timelimit in s> <output file name> <core limit(optional)>")
def __init__(self, number, outputHandler):
threading.Thread.__init__(self) # constuctor of superclass
self.numberOfThread = number
self.outputHandler = outputHandler
self.runExecutor = RunExecutor()
self.setDaemon(True)
self.start()
