def __init__(self, configuration_file, log_file):
configuration_loader = Loader(configuration_file)
self.l = Logger(log_file, "a")
self.idgenerator = IDGenerator()
self.incarnationid = self.idgenerator.generate()
self.l.log("Incarnation ID: " + self.incarnationid)
if not configuration_loader.has_property(PROBABILITY_TO_RUN_PROPERTY) or not configuration_loader.has_property(SLEEP_TIME_PROPERTY):
print "Invalid Configuration File"
self.l.log("Invalid Configuration File")
exit()
self.probability_to_run = float(configuration_loader.get_property(PROBABILITY_TO_RUN_PROPERTY))
self.sleep_time = float(configuration_loader.get_property(SLEEP_TIME_PROPERTY))
from firebase import firebase
import IDGenerator
firebase = firebase.FirebaseApplication(
'https://smartparkingsystem-bca72.firebaseio.com/', None)
id = IDGenerator.ID()
class ParkingSlot:
def __init__(self, slotNo, type, allotted=False):
self.slotNo = slotNo
self.type = type
self.allotted = allotted
def getJSONRep(self):
json = {}
json["SlotNo"] = self.slotNo
json["Type"] = self.type
json["Allotted"] = self.allotted
return json
class ParkingSlots:
def __init__(self):
pass
def insert(self, parkingSlot):
slotID = id.getNextParkingSlotID()
data = parkingSlot.getJSONRep()
firebase.put("ParkingSlots", slotID, data)
print("Inserted into database")
INTRUSIVENESS_METER_HOME_PROPERTY = "INTRUSIVENESS_METER_HOME"
INTRUSIVENESS_METER_HOME = os.environ["INTRUSIVENESS_METER_HOME"]
SOURCE_DIRECTORY = INTRUSIVENESS_METER_HOME + "/source"
HADOOP_INFO_SCRIPT = SOURCE_DIRECTORY + "/hadoop_info.sh"
ERROR_LOG_FILE = "hadoop_running.error"
LOG_FILE = "hadoop_running.log"
def there_are_running_benchmarks():
running = False
# FIXME hard coded
input = os.popen("bash " + HADOOP_INFO_SCRIPT + " -r").read()
if input == "true":
running = True
return running
error_log = Logger(ERROR_LOG_FILE, "a")
logger = Logger(LOG_FILE, "a")
idGenerator = IDGenerator()
incarnationid = idGenerator.generate()
logger.log("Incarnation ID: " + incarnationid)
error_log.log("Incarnation ID: " + incarnationid)
SLEEP_TIME = 1
while True:
logger.log(str(there_are_running_benchmarks()))
time.sleep(SLEEP_TIME)
class Controller:
def __init__(self, configuration_file, log_file):
configuration_loader = Loader(configuration_file)
self.l = Logger(log_file, "a")
self.idgenerator = IDGenerator()
self.incarnationid = self.idgenerator.generate()
self.l.log("Incarnation ID: " + self.incarnationid)
if not configuration_loader.has_property(PROBABILITY_TO_RUN_PROPERTY) or not configuration_loader.has_property(SLEEP_TIME_PROPERTY):
print "Invalid Configuration File"
self.l.log("Invalid Configuration File")
exit()
self.probability_to_run = float(configuration_loader.get_property(PROBABILITY_TO_RUN_PROPERTY))
self.sleep_time = float(configuration_loader.get_property(SLEEP_TIME_PROPERTY))
def choose_benchmark(self, benchmarks):
return random.sample(benchmarks, 1)[0]
def run_benchmark(self, benchmark, hadoop_script_conf_file):
os.system("bash " + HADOOP_SCRIPT + " " + benchmark + " " + hadoop_script_conf_file)
def thereAreRunningBenchmarks(self):
running = False
# FIXME hard coded
input = os.popen("bash " + HADOOP_INFO_SCRIPT + " -r").read()
if input == "true":
running = True
return running
def run(self, benchmarks, HADOOP_SCRIPT_CONF_FILE):
self.l.log("starting execution")
chosen_benchmark = ""
while True:
random_number = random.random()
self.l.log("random number:" + str(random_number))
if random_number < self.probability_to_run:
if self.thereAreRunningBenchmarks():
self.l.log("gave up of starting. There are running benchmarks")
else:
self.l.log("will start benchmark")
# this logic should be in choose_benchmark
if chosen_benchmark == "dfwrite":
chosen_benchmark = "dfread"
elif chosen_benchmark == "dfread":
chosen_benchmark = "dfclean"
elif chosen_benchmark == "teragen":
chosen_benchmark = "terasort"
elif chosen_benchmark == "terasort":
chosen_benchmark = "teravalidate"
elif chosen_benchmark == "teravalidate":
chosen_benchmark = "teraclean"
else:
chosen_benchmark = self.choose_benchmark(benchmarks)
self.l.log("chosen benchmark: " + chosen_benchmark)
self.l.log("will start benchmark:" + chosen_benchmark)
self.run_benchmark(chosen_benchmark, HADOOP_SCRIPT_CONF_FILE)
self.l.log("started benchmark: " + chosen_benchmark)
else:
self.l.log("Decided not to run")
time.sleep(self.sleep_time)
