class Elevator_tracker(object):
def __init__(self, building, TRACKER_INTERVAL=1):
self.building = building
self.elevators = building.get_elevators()
self.elevator_count = len(self.elevators)
self.TRACKER_INTERVAL = TRACKER_INTERVAL
self.visited_floors = [
x[:] for x in [[] * self.elevator_count] * self.elevator_count
]
self.tracker_timer = RepeatedTimer(self.TRACKER_INTERVAL,
self.get_elevators_floors)
def start_tracking(self):
self.tracker_timer.start()
def end_tracking(self):
self.tracker_timer.stop()
return self.visited_floors
def get_tracker_status(self):
if self.tracker_timer.isRunning():
return "Running"
else:
return "Terminaed"
def get_elevators_floors(self):
for i in range(0, self.elevator_count):
self.visited_floors[i].append(
self.elevators[i].get_current_floor())
def save_result(self):
print(self.visited_floors)
with open('visited_floors.csv', 'a') as fp:
a = csv.writer(fp, delimiter=',', lineterminator="\n")
a.writerows(self.result)
def plot_track(self):
#plt.hold(True)
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
x_axis = numpy.arange(
0,
len(self.visited_floors[0]) * self.TRACKER_INTERVAL,
self.TRACKER_INTERVAL)
labels = []
lines = []
for i in range(0, self.elevator_count):
lines += plt.plot(x_axis,
self.visited_floors[i],
label='Elevator ' + str(i))
#plt.plot(x_axis, self.visited_floors[i])
# Plot decorations
major_ticks = numpy.arange(0, self.building.get_floor_count(), 1)
ax.set_yticks(major_ticks)
labels = [l.get_label() for l in lines]
plt.legend(lines, labels)
plt.xlabel('Time [s]')
plt.ylabel('Floor')
plt.show()
def startTimer(name):
isSend = True
rt = RepeatedTimer(90, getPubKey, name)
try:
sleep(600)
finally:
rt.stop()
def __init__(self):
self.item_dict = {}
self.ingredientsCrawled = 0
self.productsCrawled = 0
print("starting...")
self.rt = RepeatedTimer(
1, self.update_stats) # it auto-starts, no need of rt.start()
def __init__(self, building, name, current_floor):
self.name = name
self.current_floor = current_floor
self.building = building
self.destination_floor = []
self.active_calls = []
self.SPEED = 1 # s / floor
self.TIME_AT_FLOOR = 5 # s / floor
Elevator.elevator_count += 1
self.run_timer = RepeatedTimer(self.SPEED, self.execute_call())
def __init__(self, building, TRACKER_INTERVAL=1):
self.building = building
self.elevators = building.get_elevators()
self.elevator_count = len(self.elevators)
self.TRACKER_INTERVAL = TRACKER_INTERVAL
self.visited_floors = [
x[:] for x in [[] * self.elevator_count] * self.elevator_count
]
self.tracker_timer = RepeatedTimer(self.TRACKER_INTERVAL,
self.get_elevators_floors)
def __init__(self, sound, sequence=[0], bpm=120):
self._sound = sound
if len(sequence) > 0:
self._sequence = sequence
else:
raise SequencerException("please provide a sequence as a list with length > 0.")
self._repetitions = 0
self._sequence_index = 0
self._repetitions_played = 0
self._bpm = bpm
self._interval = self.bpm_to_interval(self.bpm)
self._timer = RepeatedTimer(self._interval, self.execute_sequence_index)
class Elevator_tracker(object):
def __init__(self, building, TRACKER_INTERVAL = 1):
self.building = building
self.elevators = building.get_elevators()
self.elevator_count = len(self.elevators)
self.TRACKER_INTERVAL = TRACKER_INTERVAL
self.visited_floors = [x[:] for x in [[]*self.elevator_count]*self.elevator_count]
self.tracker_timer = RepeatedTimer(self.TRACKER_INTERVAL, self.get_elevators_floors)
def start_tracking(self):
self.tracker_timer.start()
def end_tracking(self):
self.tracker_timer.stop()
return self.visited_floors
def get_tracker_status(self):
if self.tracker_timer.isRunning():
return "Running"
else:
return "Terminaed"
def get_elevators_floors(self):
for i in range(0, self.elevator_count):
self.visited_floors[i].append(self.elevators[i].get_current_floor())
def save_result(self):
print (self.visited_floors)
with open('visited_floors.csv', 'a') as fp:
a = csv.writer(fp, delimiter=',', lineterminator="\n")
a.writerows(self.result)
def plot_track(self):
#plt.hold(True)
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
x_axis = numpy.arange(0, len(self.visited_floors[0])*self.TRACKER_INTERVAL, self.TRACKER_INTERVAL)
labels = []
lines = []
for i in range(0, self.elevator_count):
lines += plt.plot(x_axis, self.visited_floors[i], label='Elevator '+ str(i))
#plt.plot(x_axis, self.visited_floors[i])
# Plot decorations
major_ticks = numpy.arange(0, self.building.get_floor_count(), 1)
ax.set_yticks(major_ticks)
labels = [l.get_label() for l in lines]
plt.legend(lines, labels)
plt.xlabel('Time [s]')
plt.ylabel('Floor')
plt.show()
def __init__(self, building, TRACKER_INTERVAL = 1):
self.building = building
self.elevators = building.get_elevators()
self.elevator_count = len(self.elevators)
self.TRACKER_INTERVAL = TRACKER_INTERVAL
self.visited_floors = [x[:] for x in [[]*self.elevator_count]*self.elevator_count]
self.tracker_timer = RepeatedTimer(self.TRACKER_INTERVAL, self.get_elevators_floors)
def main():
temperature_sensor.setup()
RepeatedTimer(10, measure)
while True:
signal.pause()
class EwgScraperPipeline(object):
def __init__(self):
self.item_dict = {}
self.ingredientsCrawled = 0
self.productsCrawled = 0
print("starting...")
self.rt = RepeatedTimer(
1, self.update_stats) # it auto-starts, no need of rt.start()
@classmethod
def from_crawler(cls, crawler):
pipeline = cls()
crawler.signals.connect(pipeline.spider_closed, signals.spider_closed)
return pipeline
def spider_closed(self, spider):
self.rt.stop()
with open('%s_ingredients.json' % spider.name, 'w') as f:
json.dump([entry for entry in self.item_dict.values()], f)
print("FINAL: Ingredients: {}\tProducts: {}".format(
self.ingredientsCrawled, self.productsCrawled))
def process_item(self, item, spider):
# Add ingredient or product to collected data
# NOTE: Does nothing if input item is not a product or ingredient
if item:
is_ingredient = 'ingredient_id' in item.keys()
item_key = 'ingredient_id' if is_ingredient else 'product_id'
if 'product_id' in item.keys() or is_ingredient:
input_dict = dict(item)
input_key = input_dict[item_key]
if input_key in self.item_dict:
# If item already exists make sure the new input is not another placeholder
# NOTE: A place holder item contains only the item id
if len(input_dict) > 1:
self.item_dict[input_key].update(input_dict)
else:
self.item_dict[input_key] = input_dict
if is_ingredient:
self.ingredientsCrawled = self.ingredientsCrawled + 1
else:
self.productsCrawled = self.productsCrawled + 1
def update_stats(self):
print("Ingredients: {}\tProducts: {}".format(self.ingredientsCrawled,
self.productsCrawled))
def main():
client = InfluxDBClient(influx_host_ip, influx_host_port, influx_db)
client.switch_database(influx_db)
measurements_timer = RepeatedTimer(10, measurements, client)
while (True):
signal.pause()
def main():
influx_client.switch_database(influx_db)
RepeatedTimer(30, control)
while True:
signal.pause()
mqtt_client.disconnect()
def main():
timestamp = datetime.datetime.fromtimestamp(
time.time()).strftime('%d.%m.%Y %H:%M')
lcd.message("Initializing ...", 1)
lcd.message(timestamp, 2)
RepeatedTimer(30, display)
while True:
signal.pause()
def recv_connect(self):
print "JointPosition channel connected"
def sendPositions():
self.broadcast_event('positionUpdate',
motionController.getJointAngles(JointNames))
global jointTimer
if jointTimer == None:
print "Starting joint timer"
jointTimer = RepeatedTimer(1, sendPositions)
def recv_connect(self):
self.subscribed = True
self.framerate = 2
print "Camera channel connected"
def sendImage():
frame = imageHandler.getLatestFrame()
self.broadcast_event("image", frame.encode('base64'))
global cameraTimer
if cameraTimer == None:
print "Starting camera timer"
cameraTimer = RepeatedTimer(1.0 / self.framerate, sendImage)
def main():
camera_timer = RepeatedTimer(60, take_image)
while (True):
if get_sunrise() < datetime.now() < get_sunset():
camera_timer.start()
else:
camera_timer.stop()
time.sleep(60)
def run(self):
rt = RepeatedTimer(
1800, self.change_glade) # it auto-starts, no need of rt.start()
if self._flag:
print(time.localtime())
buttons = [(645, 430), (840, 425), (1060, 460), (1272, 453)]
for i in range(4):
mouse.left_click(1860, 1035)
mouse.left_click(buttons[i][0], buttons[i][1])
time.sleep(4)
check_feeding()
check_missions()
print("checking glade")
print("sleep")
time.sleep(300)
self._flag = False
def saveEmailPreferences():
global email
global preferenceList
global emailJobs
headers = {'Content-Type': 'text/html'}
_send = request.form['emailCheck']
_numPosts = request.form['numPosts']
_freq = request.form['emailFreq']
_email = userEmail
if _numPosts and _freq:
cursor.callproc('sp_updateUserAccount', (_email, _send, _freq, _numPosts))
data = cursor.fetchall()
if len(data) is 1:
conn.commit()
emailJobs[_email]['send'] = _send
emailJobs[_email]['freq'] = _freq
emailJobs[_email]['numPosts'] = _numPosts
print "freq: "+str(_freq)
print type(_freq)
if emailJobs[_email]['timer'] is not None:
emailJobs[_email]['timer'].stop()
if _send == u'1':
freqCount = 0
#pd = getPostsForEmail(_email, _numPosts)
sendEmail("*****@*****.**", _email, int(_numPosts))
if _freq == u'1':
freqCount = 604800
elif _freq == u'2':
freqCount = 302400
elif _freq == u'3':
freqCount = 201600
else:
freqCount = 3600#86400
#newpd = getPostsForEmail(_email, _numPosts)
rt = RepeatedTimer(freqCount, sendEmail, "*****@*****.**", _email, _numPosts)
emailJobs[_email]['timer'] = rt
else:
emailJobs[_email]['timer'] = None
return make_response("Email prefs added", 200, headers)
else:
return make_response("Couldn't save email prefs", 200, headers)
def emails():
global emailJobs
headers = {'Content-Type': 'text/html'}
cursor.callproc('sp_getAllEmailData')
data = cursor.fetchall()
if len(data) > 0:
conn.commit()
for user in data:
newDict = {}
newDict['send'] = user[1]
newDict['numPosts'] = user[2]
newDict['freq'] = user[3]
#Create timer
if user[1] == 1:
freqCount = 0
f = user[3]
userEmail = user[0]
num = user[2]
#pd = getPostsForEmail(user[0], user[2])
sendEmail("*****@*****.**", user[0], user[2])
if f == 1:
freqCount = 604800
elif f == 2:
freqCount = 302400
elif f == 3:
freqCount = 201600
else: #every day
freqCount = 3600#86400
#newpd = getPostsForEmail(user[0], user[2])
rt = RepeatedTimer(freqCount, sendEmail, "*****@*****.**", userEmail, num)
# sent in user email and numposts for call to getPostsForEmail
newDict['timer'] = rt
else:
newDict['timer'] = None
emailJobs[user[0]] = newDict
return None
def main():
try:
if len(sys.argv) == 2:
read_config(sys.argv[1])
else:
read_config("./config.ini")
init()
camera.vflip = config.getboolean('capture', 'vertical_flip')
camera.hflip = config.getboolean('capture', 'horizontal_flip')
try:
camera.resolution = (int( config.get('capture', 'width') ), int( config.get('capture', 'height') ))
print "Using resolution %sx%s" % (int( config.get('capture', 'width') ), int( config.get('capture', 'height') ))
except:
camera.resolution = (2592, 1944)
print "Using default resolution (%dx%d)" % default_resolution
# time.sleep(2)
camera.start_preview()
print "Using interval %ds" % interval
rt = RepeatedTimer(interval, capture)
while (True):
time.sleep(60)
finally:
camera.stop_preview()
camera.close()
def ARPCLI(self):
if self.thread is None:
if self.PiIP == "" or self.PiIP is None:
print("IP of the Pi-hole was not set, please run Discovery first.")
return
print("You are about to initiate ARP poisoning with settings: ")
print(" NetworkInterface: " + self.conf.getNetworkInterface())
setting = '{}'.format(self.conf.getARPtarget())
if len(setting) == 2:
print(" ARPtargets: " + self.conf.getDNSsetting())
else:
print(" ARPtargets: " + setting)
print(" ARPdelay: {} sec".format(self.conf.getARPdelay()))
inp = input("Do you want to continue? (Y/n): ")
if inp.lower().strip() == "y" or inp.lower().strip() == "yes" or len(inp.strip()) == 0:
# ARP poisoning, initial call
# If target is all hosts on DNS server's subnet
if len(setting) == 2:
print("Performing poisoning on " + self.conf.getDNSsetting())
if self.arp.poison_all(self.conf.getDNSsetting(), self.PiIP, self.arp.get_dns_mac(self.PiIP)):
self.ARPresult = True
# Otherwise
else:
print("Performing poisoning on " + self.conf.getARPtarget())
if self.arp.poison_all(self.conf.getARPtarget(), self.PiIP, self.arp.get_dns_mac(self.PiIP)):
self.ARPresult = True
if self.ARPresult:
print("Pi-hole was successfully poisoned")
# ARP poisoning, threading
self.thread = RepeatedTimer(self.conf.getARPdelay(), self.ARPPoisoning, setting)
self.thread.start()
self.mainText = "Enter the number of the method you want to use:\n\
1. Pi-hole discovery\n\
2. Stop ARP Poisoning\n\
3. DNS Poisoning\n\
4. Exit\n"
return
else:
print("Poisoning was not successful. Please try again.")
return
elif inp.lower().strip() == "n" or inp.lower().strip() == "no":
return
else:
print("Invalid answer, please answer Y or N\n")
self.ARPCLI()
return
# ARP Poisoning already running
else:
inp = input("You are about to stop the ARP poisoning, are you sure? (Y/N)")
if inp.lower().strip() == "y" or inp.lower().strip() == "yes" or len(inp.strip()) == 0:
# Stop thread and restore ARP tables
self.thread.stop()
self.arp.restore_all(self.conf.getARPtarget(), self.PiIP, self.arp.get_dns_mac(self.PiIP))
self.thread = None
print("ARP poisoning successfully stopped.")
self.mainText = "Enter the number of the method you want to use:\n\
1. Pi-hole discovery\n\
2. ARP Poisoning\n\
3. DNS Poisoning\n\
4. Exit\n"
return
elif inp.lower().strip() == "n" or inp.lower().strip() == "no":
print("Cancelling...")
return
else:
print("Invalid answer, please answer Y or N\n")
self.ARPCLI()
return
class CLI:
conf = Configuration()
disc = Discovery(conf.getNumberOfHosts(), conf.getSimilarResponses(), conf.getNumberOfHosts())
dns = None
arp = Arp()
PiIP = ""
ARPresult = False
thread = None
mainText = "Enter the number of the method you want to use:\n\
1. Pi-hole discovery\n\
2. ARP Poisoning\n\
3. DNS Poisoning\n\
4. Exit\n"
def mainCLI(self):
while True:
inp = input(self.mainText)
if inp.lower().strip() == "1": # Discovery
self.discoveryCLI()
elif inp.lower().strip() == "2": # ARP Poisoning
self.ARPCLI()
elif inp.lower().strip() == "3": # DNS Poisoning
self.DNSCLI()
elif inp.lower().strip() == "4": # Exit
print("Quitting...")
if self.thread is not None:
print(" Stopping ARP poisoning")
self.thread.stop()
sys.exit()
else: # Error
print("Please only enter a number 1-4\n")
# =========================== Discovery ==============================
def discoveryCLI(self):
print("You are about to search for the Pi-hole with settings: ")
print(" DnsQueryTimeout: {} ms".format(self.conf.getDNSQueryTimeout()))
print(" SimilarResp: {}%".format(self.conf.getSimilarResponses()))
print(" NumberOfHosts: {}".format(self.conf.getNumberOfHosts()))
print(" DNSServer: {}".format(self.conf.getDNSsetting()))
print(" HostsURL {}".format(self.conf.getHostsURL()))
inp = input("Do you want to continue? (Y/n): ")
if inp.lower().strip() == "y" or inp.lower().strip() == "yes" or len(inp.strip()) == 0:
print("\n")
self.PiIP = self.disc.getPi(self.conf.getDNSQueryTimeout(), self.conf.getDNSsetting())
if not self.PiIP == None:
print("Pi-hole was found at " + self.PiIP + "\nYou can continue with ARP Poisoning")
else:
print("No Pi-hole was found")
return
elif inp.lower().strip() == "n" or inp.lower().strip() == "no":
return
else:
print("Invalid answer, please answer Y or N\n")
self.discoveryCLI()
return
# ================================= ARP ====================================
# For multi-threading
def ARPPoisoning(self, setting):
if len(setting) == 2:
self.arp.poison_all(self.conf.getDNSsetting(), self.PiIP, self.arp.get_dns_mac(self.PiIP))
else:
self.arp.poison_all(self.conf.getARPtarget(), self.PiIP, self.arp.get_dns_mac(self.PiIP))
def ARPCLI(self):
if self.thread is None:
if self.PiIP == "" or self.PiIP is None:
print("IP of the Pi-hole was not set, please run Discovery first.")
return
print("You are about to initiate ARP poisoning with settings: ")
print(" NetworkInterface: " + self.conf.getNetworkInterface())
setting = '{}'.format(self.conf.getARPtarget())
if len(setting) == 2:
print(" ARPtargets: " + self.conf.getDNSsetting())
else:
print(" ARPtargets: " + setting)
print(" ARPdelay: {} sec".format(self.conf.getARPdelay()))
inp = input("Do you want to continue? (Y/n): ")
if inp.lower().strip() == "y" or inp.lower().strip() == "yes" or len(inp.strip()) == 0:
# ARP poisoning, initial call
# If target is all hosts on DNS server's subnet
if len(setting) == 2:
print("Performing poisoning on " + self.conf.getDNSsetting())
if self.arp.poison_all(self.conf.getDNSsetting(), self.PiIP, self.arp.get_dns_mac(self.PiIP)):
self.ARPresult = True
# Otherwise
else:
print("Performing poisoning on " + self.conf.getARPtarget())
if self.arp.poison_all(self.conf.getARPtarget(), self.PiIP, self.arp.get_dns_mac(self.PiIP)):
self.ARPresult = True
if self.ARPresult:
print("Pi-hole was successfully poisoned")
# ARP poisoning, threading
self.thread = RepeatedTimer(self.conf.getARPdelay(), self.ARPPoisoning, setting)
self.thread.start()
self.mainText = "Enter the number of the method you want to use:\n\
1. Pi-hole discovery\n\
2. Stop ARP Poisoning\n\
3. DNS Poisoning\n\
4. Exit\n"
return
else:
print("Poisoning was not successful. Please try again.")
return
elif inp.lower().strip() == "n" or inp.lower().strip() == "no":
return
else:
print("Invalid answer, please answer Y or N\n")
self.ARPCLI()
return
# ARP Poisoning already running
else:
inp = input("You are about to stop the ARP poisoning, are you sure? (Y/N)")
if inp.lower().strip() == "y" or inp.lower().strip() == "yes" or len(inp.strip()) == 0:
# Stop thread and restore ARP tables
self.thread.stop()
self.arp.restore_all(self.conf.getARPtarget(), self.PiIP, self.arp.get_dns_mac(self.PiIP))
self.thread = None
print("ARP poisoning successfully stopped.")
self.mainText = "Enter the number of the method you want to use:\n\
1. Pi-hole discovery\n\
2. ARP Poisoning\n\
3. DNS Poisoning\n\
4. Exit\n"
return
elif inp.lower().strip() == "n" or inp.lower().strip() == "no":
print("Cancelling...")
return
else:
print("Invalid answer, please answer Y or N\n")
self.ARPCLI()
return
# ================================= DNS ===================================
def DNSCLI(self):
if not self.ARPresult:
print("ARP Poisoning was not completed successfully, please do this first.")
return
print("You are about to replace DNS responses of the Pi-hole with settings: ")
print(" PoisonType: {}".format(self.conf.getPoisonType()))
print(" ReplaceIP: {}".format(self.conf.getReplaceIP()))
print(" SpoofingTimeout: {}".format(self.conf.getSpoofingTimeout()))
inp = input("Do you want to continue? (Y/n): ")
if inp.lower().strip() == "y" or inp.lower().strip() == "yes" or len(inp.strip()) == 0:
# Ask if we should run in verbose mode
verbose = input("Do you want to run in verbose mode? (Y/n): ")
if verbose.lower().strip() == "y" or verbose.lower().strip() == "yes" or len(verbose.strip()) == 0:
self.dns = Dns(self.PiIP, self.conf.getReplaceIP(), self.conf.getPoisonType(), self.conf.getNetworkInterface(), True)
else:
self.dns = Dns(self.PiIP, self.conf.getReplaceIP(), self.conf.getPoisonType(), self.conf.getNetworkInterface(), False)
print("\n")
# Start spoofing
self.dns.poison()
elif inp.lower().strip() == "n" or inp.lower().strip() == "no":
return
else:
print("Invalid answer, please answer Y or N\n")
self.DNSCLI()
return
def start(self, starting_num_cars, inflow, amount_of_inflow, time_end,
fig):
#Starting number of cars
self.initialize_cars(starting_num_cars)
#Inflows over time
filharmonia_list = [0]
idziego_list = [0]
poczta_list = [0]
slowackiego_list = [0]
bagatela_list = [0]
making_file_statistic()
thread = threading.Thread(target=run_stats)
# initialize
pygame.init()
# create screen
screen = pygame.display.set_mode(resolution)
# running condition and title
running = True
pygame.display.set_caption("Cracow Road Simulation")
# time delay
clockobject = pygame.time.Clock()
tick = 10
# background color
screen.fill(self.colors["black"])
# draw road
self.initialize_points(screen)
# pause and velocity message
text = [
'To Pause press P To Continue press C', 'Average V: ',
'Average V_max: ', 'Percentage difference: ', 'Iteration: ',
'km/h', 'Number of Cars: ', 'Time: ', 'Inflow: ',
'Number of Inflow: ', 'Starting number of cars: '
]
message(screen, (self.resolution[0] // 2, self.resolution[1] // 2),
self.colors, text[0])
message(screen, (100, 50), self.colors, text[1])
message(screen, (450, 50), self.colors, text[5])
message(screen, (145, 100), self.colors, text[2])
message(screen, (450, 100), self.colors, text[5])
message(screen, (200, 700), self.colors, text[3])
message(screen, (90, 800), self.colors, text[4])
message(screen, (140, 750), self.colors, text[6])
message(screen, (50, 850), self.colors, text[7])
message(screen,
(self.resolution[0] // 2 - 200, self.resolution[1] // 2 - 100),
self.colors, text[8] + str(inflow))
message(screen,
(self.resolution[0] // 2 + 200, self.resolution[1] // 2 - 100),
self.colors, text[9] + str(inflow_number))
message(screen,
(self.resolution[0] // 2, self.resolution[1] // 2 - 200),
self.colors, text[10] + str(starting_num_cars))
# thread for counting time - to handle traffic lights
rt = RepeatedTimer(1.00, start_traffic_lights, points, screen)
try:
#thread.start()
tab = [0, 0]
# start timer
start_time = dt.datetime.today().timestamp()
# Main Loop
time.sleep(1)
while running:
clockobject.tick(tick)
time_diff = dt.datetime.today().timestamp() - start_time
tab[1] = tab[0]
tab[0] = int(time_diff)
if tab[0] - tab[1] == 1 and tab[0] % inflow == 0:
self.generate_car_on_each_intersection(amount_of_inflow)
filharmonia_list.append(outflows['filharmonia'])
idziego_list.append(outflows['idziego'])
poczta_list.append(outflows['poczta'])
slowackiego_list.append(outflows['slowackiego'])
bagatela_list.append(outflows['bagatela'])
for event in pygame.event.get():
if event.type == pygame.QUIT:
running = False
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_p:
pause(clockobject)
elif event.key == pygame.K_RIGHT:
tick = max(tick + 5, 3)
elif event.key == pygame.K_LEFT:
tick = max(tick - 5, 3)
for car in self.cars:
car.move(screen, points)
self.check_if_reached_end()
#self.random_initialize(70)
add_stats(self.cars, self.iteration, time_diff)
self.iteration += 1
show_statistics(screen, self.colors)
pygame.display.update()
if (time_diff > time_end):
running = False
finally:
rt.stop()
#ploting
plot_numcars_v(inflow, amount_of_inflow, fig, starting_num_cars)
plot_t_numcars(inflow, amount_of_inflow, fig, starting_num_cars)
plot_t_v(inflow, amount_of_inflow, fig, starting_num_cars)
plot_inflow(filharmonia_list, idziego_list, poczta_list,
slowackiego_list, bagatela_list, inflow,
amount_of_inflow, fig, starting_num_cars)
outflow = [
filharmonia_list, idziego_list, poczta_list, slowackiego_list,
bagatela_list
]
final_data_append(fig, starting_num_cars, outflow)
client = pymongo.MongoClient("localhost", 27017)
db = client['ohmni']
collection = db.instagramData
for post in json:
post['_datetime'] = datetime.datetime.utcnow()
id = collection.insert(post, continue_on_error=True)
print(str(id))
client.close()
except pymongo.errors.DuplicateKeyError:
pass
if __name__ == '__main__':
getData()
rt = RepeatedTimer(30, getData)
try:
while True:
sys.stdout.write('\r')
sys.stdout.write('|')
sys.stdout.write('\r')
sys.stdout.flush()
sys.stdout.write('/')
sys.stdout.write('\r')
sys.stdout.flush()
sys.stdout.write('-')
sys.stdout.write('\r')
sys.stdout.flush()
sys.stdout.write('\\')
sys.stdout.write('\r')
sys.stdout.flush()
def scheduleTask(currencies, window):
rt = RepeatedTimer(3, tikBTC, currencies)
return rt
from ScenarioParser import ScenarioParser
from UdpAgent import UdpSender
from RepeatedTimer import RepeatedTimer
from time import sleep
#import time
if __name__ == '__main__':
sp = ScenarioParser("scenario.yaml")
scenario = sp.get_scenario()
udpSender = UdpSender((scenario["ip"],scenario["port"]))
if (scenario["direction"] == "out"):
rt = RepeatedTimer(1, udpSender.send, scenario["data"])
try:
sleep(5) # your long-running job goes here...
finally:
rt.stop() # better in a try/finally block to make sure the program ends!
# Setup Cyton Biosensing board
loop = 0
while True:
cytonBrd = setupCytonDongle()
loop += 1
if cytonBrd != 0:
break
if loop > 10:
os.system('reboot now')
# Sleep to allow mote to warm up
time.sleep(0.5)
print "Set timer to send data repeatedly...",
mote_timer = RepeatedTimer(60, send_packet_over_lora, mote)
print "Done"
loop = 0
while True:
loop += 1
isConnected = cytonBrd.start_stream()
if isConnected == 1:
break
if loop > 10:
os.system('reboot now')
while True:
cytonBrd.read_line()
if cytonBrd.is_window_full():
class Sequencer:
def __init__(self, sound, sequence=[0], bpm=120):
self._sound = sound
if len(sequence) > 0:
self._sequence = sequence
else:
raise SequencerException("please provide a sequence as a list with length > 0.")
self._repetitions = 0
self._sequence_index = 0
self._repetitions_played = 0
self._bpm = bpm
self._interval = self.bpm_to_interval(self.bpm)
self._timer = RepeatedTimer(self._interval, self.execute_sequence_index)
@property
def sound(self):
return self._sound
@sound.setter
def sound(self, sound):
self._sound = sound
@property
def sequence(self):
return self._sequence
@sequence.setter
def sequence(self, sequence):
if len(sequence) > 0:
self._sequence = sequence
else:
raise SequencerException("please provide a sequence as a list with length > 0.")
@property
def bpm(self):
return self._bpm
@bpm.setter
def bpm(self,bpm):
self._bpm = bpm
def bpm_to_interval(self, bpm):
# translates to 1/16th notes
return 15/bpm
def play(self,repetitions):
self._repetitions = repetitions
self._timer.start()
print(self._sound.path, "started")
def stop(self):
self._timer.stop()
def execute_sequence_index(self):
if(self.sequence[self._sequence_index] == 1):
self._sound.play()
print(self._sound.path,1)
else:
print(self._sound.path,0)
self._sequence_index += 1
if self._sequence_index >= len(self._sequence):
self._sequence_index = 0
self._repetitions_played += 1
if(self._repetitions_played == self._repetitions and self._repetitions != 0):
print(self._sound.path, "sequence ended")
self.stop()
self._sound.wait_done()
import os, sys
import json
from sets import Set
from time import sleep
from CVEClassCveDetails import CVEClassCveDetails
from RepeatedTimer import RepeatedTimer
print "Starting the security bot..."
cveClass = CVEClassCveDetails()
cveClassRt = RepeatedTimer(300, cveClass.cveUpdate) # Update every 5 minutes
cvePostRt = RepeatedTimer(1680,
cveClass.dequeueMessage) # Post every 28 minutes
try:
while True:
sleep(60)
except Exception as e:
e.msg()
finally:
cveClassRt.stop()
cvePostRt.stop()
def main():
global window
sg.theme('DarkAmber') # Add a touch of color
rowsCurrencies = ['BTCBUSD', 'ADABUSD']
# All the stuff inside your window.
layout = [
*[[sg.Text('', size=(22, 1), key=curr + '_output')]
for curr in rowsCurrencies], [sg.InputText(size=(22, 1))],
[sg.Button('add', key='add'),
sg.Button('exit')]
]
# Create the Window
window = sg.Window('cryptoWidgetX',
layout,
no_titlebar=True,
grab_anywhere=True,
keep_on_top=True,
background_color='white',
alpha_channel=.6,
margins=(0, 0),
finalize=True)
# number of buttons to add
rows_number = 0
tikBTC(rowsCurrencies.copy())
rt = scheduleTask(rowsCurrencies.copy(), window)
# Event Loop to process "events" and get the "values" of the inputs
while True:
event, values = window.read()
if event == sg.WIN_CLOSED or event == 'exit': # if user closes window or clicks cancel
rt.stop()
break
if event == 'add':
rt.stop()
rowsCurrencies.append(values[0])
rows_number += 1
layout = [
*[[sg.Text('', size=(22, 1), key=curr + '_output')]
for curr in rowsCurrencies],
[sg.Button('add', key='add'),
sg.Button('exit')]
]
window1 = sg.Window('cryptoWidgetX',
layout,
location=window.CurrentLocation(),
no_titlebar=True,
grab_anywhere=True,
keep_on_top=True,
background_color='white',
alpha_channel=.6,
margins=(0, 0),
finalize=True)
rt = RepeatedTimer(3, tikBTC, rowsCurrencies)
window.Close()
window = window1
window.close()
def on_subscribe(self, client, userdata, mid, granted_qos):
"""
sets update timer/interval for map
"""
self.rep_timer = RepeatedTimer(1000, self.show_map)
global min
global avg
print "logged@{}, min={}, avg={}".format(time.time(), min, avg)
logToFile(min, avg)
resetValues()
# function to log mouse coords to console
def printMouseCoords(event, x, y, flags, param):
if event == cv2.EVENT_LBUTTONDBLCLK:
print "Mouse at ({},{})".format(x, y)
# repeated timer for logging each x seconds
rt = RepeatedTimer(logInterval, collect)
# prepare windows for opencv and mouse listener
cv2.namedWindow('original')
cv2.setMouseCallback('original', printMouseCoords)
# infinite loop
while 1:
# 1) read the next frame
frame = cap.read()
# 2) convert current frame to gray and improve contrast with CLAHE (Contrast Limited Adaptive Histogram Equalization)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8, 8))
cl1 = clahe.apply(gray)
class Elevator(object):
'An elevator'
elevator_count = 0
def __init__(self, building, name, current_floor):
self.name = name
self.current_floor = current_floor
self.building = building
self.destination_floor = []
self.active_calls = []
self.SPEED = 1 # s / floor
self.TIME_AT_FLOOR = 5 # s / floor
Elevator.elevator_count += 1
self.run_timer = RepeatedTimer(self.SPEED, self.execute_call())
def start_elevator(self):
self.run_timer.start()
def get_name(self):
return self.name
def get_current_floor(self):
return self.current_floor
def get_destination_floor(self):
return self.destination_floor
def get_direction(self):
if not self.destination_floor:# or len(self.destination_floor) == 0:
return 0
else:
return numpy.sign(self.destination_floor[0] - self.current_floor)
def get_speed(self):
return self.SPEED
def get_time_to_floor(self, floor):
distance_to_destination = abs(floor - self.get_current_floor())
time_to_destination = self.get_speed()*distance_to_destination
return time_to_destination
def set_current_floor(self, floor):
self.current_floor = floor
def set_destination_floor(self, floor, on_the_way = False):
if self.current_floor != floor:
if on_the_way:
self.destination_floor = [floor] + self.destination_floor
else:
self.destination_floor.append(floor)
def execute_call(self):
''' checks if there is a call to execute. if yes, run elevator '''
print('execute_call()')
if self.active_calls:
print("I got a call, Elevator " + str(self.name) + " will start!")
self.run_timer.stop()
self.run_elevator()
def run_elevator(self):
curret_call = self.active_calls[0]
while self.current_floor != self.destination_floor[0]:
new_floor = self.current_floor + self.get_direction()
self.set_current_floor(new_floor)
sleep(self.SPEED)
self.stop_at_floor(curret_call)
def stop_at_floor(self, call):
floor = call.get_floor()
print ("Elevator " + str(self.name) + " now at floor " + str(floor) + ".")
sleep(self.TIME_AT_FLOOR)
self.destination_floor = [x for x in self.destination_floor if x != floor]
call.get_selected_floor()
self.run_timer.start()
def recieve_call(self, call):
print ("Elevator " + str(self.name) + "has recieved a call.")
self.active_calls.append(call)
self.set_destination_floor(call.get_floor(), call.get_on_the_way())
def stop_elevator(self):
print ("Elevator to stop: " + str(self.name))
if self.get_elevator_status() == "Running":
self.run_timer.stop()
def get_elevator_status(self):
if self.run_timer.isRunning():
return "Running"
else:
return "Terminated"
print("Detectou")
face_appearance_[0] = face_appearance_[0] + 1
if face_appearance_[0] >= 10:
application.stop()
face_appearance_[0] = 0
print("CRIOU IMAGEM")
cv2.imwrite('face_img.jpg', frame)
# Read the binary file to send data to API
body = ""
filename = 'face_img.jpg'
f = open(filename, "rb")
body = f.read()
f.close()
application.start()
else:
face_appearance_[0] = 0
# load serialized model from disk
# net = cv2.dnn.readNetFromCaffe(args["prototxt"], args["model"])
net = cv2.dnn.readNetFromCaffe("deploy.prototxt.txt",
"res10_300x300_ssd_iter_140000.caffemodel")
# initialize the video stream
# change src=0 to the camera source input
vs = VideoStream(src=0).start()
time.sleep(1.0)
# Calls detect_face every time_sec_ seconds
application = RepeatedTimer(time_sec_, detect_face, vs)
def main():
#Read config.ini file
config_object = ConfigParser()
init_file = os.path.join(os.path.dirname(os.path.abspath(__file__)),
'config.ini')
config_object.read(init_file)
# The file in which the data will be written into
output_file_name = config_object.get("SETTINGS", "output_file_name")
# Number of different scenarios to run
num_of_iter = int(config_object.get("SETTINGS", "num_of_iter"))
# Simulation time factor which is set in the settings.json file of AirSim
sim_time_factor = int(config_object.get("SETTINGS", "sim_time_factor"))
# The malicious behaviour type
anomaly_type = config_object.get("SETTINGS", "anomaly_type")
# If True, after getting the data it will get tested and updated by 'test.py' script
active_data_test = config_object.get("SETTINGS", "active_data_test")
# Time until next_action() and has_ended() is called again
update_cycle_time = 0.1 / sim_time_factor
# headers for csv file
data_keys = [
'drone', 'update_step', 'iter', 'script_time', 'sim_time', 'latitude',
'longitude', 'altitude', 'angular_acceleration_x',
'angular_acceleration_y', 'angular_acceleration_z',
'angular_velocity_x', 'angular_velocity_y', 'angular_velocity_z',
'linear_acceleration_x', 'linear_acceleration_y',
'linear_acceleration_z', 'linear_velocity_x', 'linear_velocity_y',
'linear_velocity_z', 'orientation_x', 'orientation_y', 'orientation_z',
'position_x', 'position_y', 'position_z', 'collision', 'label'
]
data = {data: [] for data in data_keys}
drones = ["Drone1", "Drone2", "Drone3", "Drone4", "Drone5"]
# Connect to the regular client
client = airsim.MultirotorClient()
client.confirmConnection()
# Connect to the Monitor's client which is used by the monitor function
client_monitor = airsim.MultirotorClient()
client_monitor.confirmConnection()
[client_monitor.enableApiControl(True, drone) for drone in drones]
[client_monitor.armDisarm(True, drone) for drone in drones]
# Dictionary of values that describe the current iteration state
# It is used by the monitor function
values = {
"i": 0,
"update_step": 0,
"start": 0,
"is_anomaly": False,
"malicious": None,
"collision": None
}
# Start the scenarios - each iteration is a new scenario
for i in range(num_of_iter):
[client.enableApiControl(True, drone) for drone in drones]
[client.armDisarm(True, drone) for drone in drones]
print(f'Iteration: {i}')
values["i"] = i
# On the first iteration, the drones need to take off first
if i == 0:
[client.takeoffAsync(vehicle_name=drone) for drone in drones]
time.sleep(6)
# Randomly choose a malicious drone
malicious = random.sample(drones, 1)[0]
values["malicious"] = malicious
# After time_till_anoamly passes, the malicious drone starts acting maliciously
time_till_anomaly = np.random.uniform(10, 15) / sim_time_factor
print(f'starting new scenario with malicious: {malicious}')
# Drones' initial positions which are also set in the settings.json file of AirSim
initial_positions = ([[2, 0, -2], [4, 0, -2], [6, 0, -2], [8, 0, -2],
[10, 0, -2]])
# Optional : use trace line to see the routes of the drones
[client.simSetTraceLine([0.0], 20.0, drone) for drone in drones]
# Creating the avoidance scenario class
scenario = Simple(client, drones, initial_positions, malicious,
anomaly_type, sim_time_factor)
# Get the beginning time for later measures
start = time.perf_counter()
values["start"] = start
values["update_step"] = 0
time_from_beginning = 0
# When has_ended is True, the scenario will end
has_ended = False
# When is_anomaly is True, the malicious behaviour will start
is_anomaly = False
values["is_anomaly"] = False
time.sleep(0.5)
# Create the RepeatedTimer class with the monitor function, which monitors the scenario data
# By creating the object, the function starts running and repeats itself every 0.05 seconds
rt = RepeatedTimer(0.05, monitor, data, drones, client_monitor, values)
while not has_ended:
record_time = time.perf_counter()
# Call the next action of the drones, which gets them to recalculate their movement
scenario.next_action()
# Check if the scenario has ended
has_ended = scenario.has_ended()
# Check if a collision has occured
values["collision"] = scenario.get_collision()
# If enough time has passed, the anomaly begins
if time_from_beginning > time_till_anomaly and anomaly_type != "none" and not is_anomaly:
print("starts anomaly")
is_anomaly = True
values["is_anomaly"] = True
# Optional - set the malicious drone's path to have another color
client.simSetTraceLine([1.0], 20.0, malicious)
# If the anomaly has started, call the malicious behavior function
if is_anomaly:
scenario.next_action_anomaly()
# calculating the time that passed since the beginning of the scenario
current = time.perf_counter()
time_from_beginning = current - start
values["update_step"] += 1
# If not enough time has passed until the next action should happen, sleep
try:
time.sleep(update_cycle_time - (current - record_time))
except:
print("passing")
# When the scenario ends, the RepeatedTimer stops recording and the client resets
rt.stop()
client.reset()
# Disconnect from the client
[client.armDisarm(False, drone) for drone in drones]
[client.enableApiControl(False, drone) for drone in drones]
print('finished mission')
# Write the data to the output file
data_df = pd.DataFrame.from_dict(data)
data_df.to_csv(output_file_name, index=False)
if active_data_test == "True":
test_data(output_file_name)