def __init__(self, radius, name, time_step, n_bodies):
self._radius = radius
self._name = name
self._body_list = []
self._f_matrix = np.zeros(shape=(3, n_bodies))
self.a_matrix = np.zeros(shape=(3, n_bodies))
self.dt = time_step
self._n_bodies = n_bodies
self._analytics = Analytics()
self._acceleration_analytics = Analytics()
self._velocity_analytics = Analytics()
self._t = 0
class TestAnalytics(unittest.TestCase):
''' Test Class to test Class Analytics '''
test_data = Analytics("2019-08-01")
test_data.get_analytics()
# test the customer count for "2019-08-01"
def testCustomers(self):
self.assertEqual(TestAnalytics.test_data.output['customers'], 9)
# test the total_discount_amount for "2019-08-01"
def test_total_discount_amount(self):
self.assertAlmostEqual(
TestAnalytics.test_data.output['total_discount_amount'],
130429980.24)
# test the total items sold for "2019-08-01"
def test_items(self):
self.assertEqual(TestAnalytics.test_data.output['items'], 2895)
# The average order total for "2019-08-01"
def test_order_total_average(self):
self.assertAlmostEqual(
TestAnalytics.test_data.output['order_total_average'], 15895179.73)
# The average discount rate applied to the items sold for "2019-08-01"
def test_discount_rate_avg(self):
self.assertAlmostEqual(
TestAnalytics.test_data.output['discount_rate_avg'], 0.13)
# The total amount of commissions generated for "2019-08-01"
def test_commissions_total(self):
self.assertAlmostEqual(TestAnalytics.test_data.commissions['total'],
20833236.94)
def __init__(self):
''' The __init__ access tokens and credentials are being imported from the config.py module.
This file must be included in the root for the script to function'''
self.SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
self.KEY_FILE_LOCATION = './auth.json'
self.VIEW_ID = config.view_id
self.analytics = Analytics()
def __init__(self, collection, api_class=OdiloAPI, **kwargs):
"""Constructor.
:param collection: Provide bibliographic coverage to all
Odilo books in the given Collection.
:param api_class: Instantiate this class with the given Collection,
rather than instantiating OdiloAPI.
"""
super(OdiloBibliographicCoverageProvider,
self).__init__(collection, **kwargs)
if isinstance(api_class, OdiloAPI):
# Use a previously instantiated OdiloAPI instance
# rather than creating a new one.
self.api = api_class
else:
# A web application should not use this option because it
# will put a non-scoped session in the mix.
_db = Session.object_session(collection)
self.api = api_class(_db, collection)
self.replacement_policy = ReplacementPolicy(
identifiers=True,
subjects=True,
contributions=True,
links=True,
formats=True,
rights=True,
link_content=True,
# even_if_not_apparently_updated=False,
analytics=Analytics(self._db))
def __init__(self, _db, collection):
if collection.protocol != ExternalIntegration.ODILO:
raise ValueError(
"Collection protocol is %s, but passed into OdiloAPI!" %
collection.protocol)
self._db = _db
self.analytics = Analytics(self._db)
self.collection_id = collection.id
self.token = None
self.client_key = collection.external_integration.username
self.client_secret = collection.external_integration.password
self.library_api_base_url = collection.external_integration.setting(
self.LIBRARY_API_BASE_URL).value
if not self.client_key or not self.client_secret or not self.library_api_base_url:
raise CannotLoadConfiguration("Odilo configuration is incomplete.")
# Use utf8 instead of unicode encoding
settings = [
self.client_key, self.client_secret, self.library_api_base_url
]
self.client_key, self.client_secret, self.library_api_base_url = (
setting.encode('utf8') for setting in settings)
# Get set up with up-to-date credentials from the API.
self.check_creds()
if not self.token:
raise CannotLoadConfiguration(
"Invalid credentials for %s, cannot intialize API %s" %
(self.client_key, self.library_api_base_url))
def get_analytics():
try:
args = json.dumps(request.json)
args = json.loads(args)
arg = args[0]
analytic_object = Analytics(es_instance)
result = []
if (arg == "category"):
result = analytic_object.get_category_analytics()
elif (arg == "entity"):
result = analytic_object.get_entities_analytics()
elif (arg == "reporter"):
result = analytic_object.get_reporter_analytics()
elif (arg == "avg_leads_cat"):
result = analytic_object.get_avg_category_analytics()
elif (arg == "avg_leads_ent"):
result = analytic_object.get_avg_entity_analytics()
else:
result = ["Invalid choice"]
logging.error("Invalid Choice")
return jsonify({"success": True, "data": result})
except Exception as e:
logging.error("In fetching analytics" + str(e))
return jsonify({"success": False})
def main():
a = Analytics()
a.start_timer()
img = cv2.imread('lvision/assets/images/locations/basing.png')
points = numpy.where(numpy.all(img == [0, 255, 0], axis=-1))
points = list(zip(*points[::-1]))
print(points)
a.end_timer()
def _rand_event(instant):
component = choice([
_rand_first_button, _rand_success_button, _rand_range,
_rand_first_name, _rand_last_name
])()
component['timestamp'] = time_ns()
component['session'] = choice(list(_sessions))
component['instant'] = instant
return Analytics(component)
def find(self, df, mode, param):
self.available_columns = available_columns = list(df.columns)
original_variables = [col for col in df.columns if '_impact' in col]
self.impact_variables = [
col for col in original_variables if not '_rescaled' in col
]
self.y_variable = param["y_variable"]
self.y_variable_predict = param["y_variable_predict"]
self.param = param
self.instance_id = self.random_string_generator()
self.create_dir("data_storage")
self.create_dir("data_storage/user")
self.user_id = None
self.df = df
self.analytics = Analytics()
self.analytics['ip'] = self.analytics.finding_ip()
self.analytics['mac'] = self.analytics.finding_address()
self.analytics['instance_id'] = self.instance_id
self.analytics['time'] = str(datetime.datetime.now())
self.analytics['total_columns'] = len(self.available_columns)
self.analytics['total_rows'] = len(self.df)
self.analytics['os'] = self.analytics.finding_system()
self.analytics['model_name'] = self.param["model_name"]
self.analytics["function"] = 'explainx.ai'
self.analytics["query"] = "all"
self.analytics['finish_time'] = ''
self.callback_input = [
Input(f + '_slider', 'value') for f in self.param["columns"]
]
self.callback_input.append(Input('submit-button-state', 'n_clicks'))
# self.callback_input_prototype = [Input(f + '-slider', 'value') for f in self.param["columns"]]
# self.callback_input_prototype.append(Input('btn-nclicks-1', 'n_clicks'))
self.prototype_array = []
for f in self.param["columns"]:
self.prototype_array.append([f + '_slider', 'value'])
self.prototype_array.append(['btn-nclicks-1', 'n_clicks'])
try:
user_id = pd.read_csv("data_storage/user/user_id.csv")
user_id.drop_duplicates(['id'], keep='first', inplace=True)
user_id = user_id['id'].iloc[0]
self.user_id = user_id
except Exception as e:
# print("inside user track" )
user_id_val = self.random_string_generator()
user_id_csv = pd.DataFrame(data={"id": [user_id_val]})
user_id_csv.to_csv("data_storage/user/user_id.csv", index=False)
self.user_id = user_id_val
self.analytics['user_id'] = self.user_id
self.analytics.insert_data()
self.insights = insights(self.param)
d = self.dash(df, mode)
return True
def run_abstract_service(self, service_name, persist=False):
#print "run run_abstract_service(Events, persist) from run_events_service(self, persist=False)"
i = 1
service_instance = None
while True:
try:
if isinstance(self.__connection,
ONVIFCamera) and self.__connect_state:
#print 'Run ' + str(service_name) + ' service'
support = self.loop_check_status_abstract_service(
'support', service_name)
init = self.loop_check_status_abstract_service(
'init', service_name)
#run = self.loop_check_status_abstract_service('run', service_name)
if self.__loop_mode:
if support and init:
#print 'change state run True ' + str(service_name) + ' service'
#print "Call loop_edit_status_abstract_service(run, Events) from run_abstract_service(Events, persist)"
self.loop_edit_status_abstract_service(
'run', service_name)
else:
print 'Start ' + str(service_name) + ' service'
# self.__services['Event'] = EventService(self.__connection, persist)
self.loop_edit_status_abstract_service(
'run', service_name)
if service_name == 'Analytics':
service_instance = Analytics(self, persist)
if service_name == 'Device':
service_instance = Device(self, persist)
if service_name == 'Events':
service_instance = Events(self, persist)
if service_name == 'Imaging':
service_instance = Imaging(self, persist)
if service_name == 'Media':
service_instance = Media(self, persist)
if service_name == 'PTZ':
service_instance = PTZ(self, 0, 0, 0, 20, persist,
None)
if service_instance is not None:
self.loop_edit_status_abstract_service(
'instance', service_name, service_instance)
break
else:
print 'service_instance of ' + str(
service_name) + ' is None'
else:
if not isinstance(self.__connection,
ONVIFCamera) or not self.__connect_state:
# print 'The connection has not yet been established or connection has been lost'
self.try_connect(i)
except ONVIFError as e:
self.__connect_state = False
print 'Exception inside get_support_device: ' + str(e.reason)
self.try_connect(i)
continue
i += 1
def main():
'''Main function of the script'''
parser = argparse.ArgumentParser()
parser.add_argument('--all', '-a', action='store_true')
parser.add_argument('--interactive', '-i', action='store_true')
args = parser.parse_args()
logger = CliLogger()
screen = Screen()
analytics = Analytics(logger)
resources = Resources()
analytics.ignore = ANALYTICS_IGNORE
resources.load(analytics)
if args.interactive:
handle = wait_league_window(logger, (0, 0, 1024, 768))
screen.d3d.capture(target_fps=10, region=find_rect(handle))
while True:
if keyboard.is_pressed('x'):
cv2.destroyAllWindows()
screen.d3d.stop()
break
img = screen.d3d.get_latest_frame()
if img is None:
continue
try:
img_bgr = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
objs = tick(logger, analytics, resources, img)
draw_objects(img_bgr,
objs,
wait=False,
title='League Vision - Interactive')
logger.log('Press and hold x to exit bot.')
except NoCharacterInMinimap:
pass
logger.log('-' * 50)
time.sleep(1)
return
if args.all:
files = glob.glob('screenshots/*.png')
else:
files = glob.glob('screenshots/*.png')[:1]
for file in files:
img_bgr = cv2.imread(file)
img = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)
try:
objs = tick(logger, analytics, resources, img)
logger.log('Press x to exit.')
except NoCharacterInMinimap:
pass
logger.log('-' * 50)
if draw_objects(img_bgr, objs, title=f'League Vision - {file}') == 120:
break
def test_initialize(self):
# supports multiple analytics providers, site-wide or with libraries
# Two site-wide integrations
mock_integration, ignore = create(
self._db,
ExternalIntegration,
goal=ExternalIntegration.ANALYTICS_GOAL,
protocol="mock_analytics_provider")
mock_integration.url = self._str
local_integration, ignore = create(
self._db,
ExternalIntegration,
goal=ExternalIntegration.ANALYTICS_GOAL,
protocol="local_analytics_provider")
# A broken integration
missing_integration, ignore = create(
self._db,
ExternalIntegration,
goal=ExternalIntegration.ANALYTICS_GOAL,
protocol="missing_provider")
# Two library-specific integrations
l1, ignore = create(self._db, Library, short_name="L1")
l2, ignore = create(self._db, Library, short_name="L2")
library_integration1, ignore = create(
self._db,
ExternalIntegration,
goal=ExternalIntegration.ANALYTICS_GOAL,
protocol="mock_analytics_provider")
library_integration1.libraries += [l1, l2]
library_integration2, ignore = create(
self._db,
ExternalIntegration,
goal=ExternalIntegration.ANALYTICS_GOAL,
protocol="mock_analytics_provider")
library_integration2.libraries += [l2]
analytics = Analytics(self._db)
eq_(2, len(analytics.sitewide_providers))
assert isinstance(analytics.sitewide_providers[0],
MockAnalyticsProvider)
eq_(mock_integration.url, analytics.sitewide_providers[0].url)
assert isinstance(analytics.sitewide_providers[1],
LocalAnalyticsProvider)
assert missing_integration.id in analytics.initialization_exceptions
eq_(1, len(analytics.library_providers[l1.id]))
assert isinstance(analytics.library_providers[l1.id][0],
MockAnalyticsProvider)
eq_(2, len(analytics.library_providers[l2.id]))
for provider in analytics.library_providers[l2.id]:
assert isinstance(provider, MockAnalyticsProvider)
def click():
if 'id' not in session:
session['id'] = uuid.uuid4()
session_id = session['id']
data = request.get_json()
app.logger.info('Event received: %s', data)
data['session'] = session_id.hex
app.logger.info('Event enriched: %s', data)
analytics.set(uuid.uuid4(), Analytics(data)).result()
return Response(status=202)
def main():
global start_of_event
global last_window
global last_event
global html_update_time
analytic = Analytics()
print("""
---------------------------------------
TRACK YOUR TIME - DON'T WASTE IT!
---------------------------------------
TIME CATEGORY""")
while True:
mouse_idle = is_mouse_idle()
keyboard_idle = is_keyboard_idle(0.01)
current_window = get_window_name()
idle = mouse_idle and keyboard_idle
if idle:
current_event = 'idle'
else:
current_event = current_window
if current_event != last_event:
if last_event == 'idle':
category = 'idle'
else:
category = analytic.get_cat(last_window)
duration = time.time() - start_of_event
if duration > 2:
save_data([time.time(), category, int(duration)])
try:
if sys.version_info.major > 2:
mins = int(np.floor(duration / 60))
secs = int(np.floor(duration - mins * 60))
print("{0: 3}:{1:02} min\t".format(mins, secs),
"{}\t".format(category),
"({})".format(last_event[:30]))
except UnicodeDecodeError:
print("{0: 5.0f} s\t".format(duration),
"UNICODE DECODE ERROR")
last_window = current_window
start_of_event = time.time()
last_event = current_event
if time.time() > html_update_time:
analytic.create_html()
html_update_time = time.time() + 60
def initialize(self):
self._uuid = self._get_setting([
["plugins", "discovery", "upnpUuid"],
], ["public", "uuid"]) or self._generate_uuid()
self._search_id = self._settings.get(["public", "search_id"
]) or self._generate_search_id()
self._analytics = Analytics(self)
self._url = self._settings.get(["url"])
self._logger.info("FindMyMrBeam enabled: %s", self.is_enabled())
self._analytics.log_enabled(self.is_enabled())
self.update_frontend()
def request_analytics_by_date(analytics_date):
#redirect to date_error page is invalid date format
if not isValidDate(analytics_date):
return render_template('date_error.html')
# create Analytics object and populate with analytics data.
data = Analytics(analytics_date)
data.get_analytics()
# return the output dictionary in json format to the browser
return jsonify(data.output)
def loop_check_edit_instance_service(self, name_service):
run = self.loop_check_status_abstract_service('run', name_service)
instance = self.loop_check_status_abstract_service(
'instance', name_service)
#print 'NAME PTZ SERVICE BEFORE IF:' + str(name_service)
#print 'NAME PTZ SERVICE RUN:' + str(run)
#print 'NAME PTZ SERVICE INSTANCE:' + str(instance)
#instance_service = None
#instance_flag = False
if run and not instance:
if name_service == 'Analytics':
instance_service = Analytics(self, True)
self.loop_edit_status_abstract_service('instance',
name_service,
instance_service)
instance_flag = True
if name_service == 'Device':
instance_service = Device(self, True)
self.loop_edit_status_abstract_service('instance',
name_service,
instance_service)
instance_flag = True
if name_service == 'Events':
instance_service = Events(self, True)
self.loop_edit_status_abstract_service('instance',
name_service,
instance_service)
instance_flag = True
if name_service == 'Imaging':
instance_service = Imaging(self, True)
self.loop_edit_status_abstract_service('instance',
name_service,
instance_service)
instance_flag = True
if name_service == 'Media':
instance_service = Media(self, True)
self.loop_edit_status_abstract_service('instance',
name_service,
instance_service)
instance_flag = True
if name_service == 'PTZ':
#print 'MY<>NAME<>PTZ'
instance_service = PTZ(self, 0, 0, 0, 20, True, None)
#print 'Vse NORM'
self.loop_edit_status_abstract_service('instance',
name_service,
instance_service)
instance_flag = True
def __init__(self, root):
builder = pygubu.Builder()
builder.add_from_file('ldesigner/gui.ui')
builder.get_object('main_frame', root)
builder.connect_callbacks(self)
root.title('League of Legends Tile Designer')
root.geometry('640x480+0+480')
logger = CliLogger('%H:%M:%S')
keyboard.add_hotkey('a', self.set_true)
keyboard.add_hotkey('s', self.set_false)
self.analytics = Analytics(logger)
self.builder = Builder(builder)
self.tiles = numpy.zeros((183, 183, 3), numpy.uint8)
self.coor = None
threading.Thread(target=self.monitor_league, daemon=True).start()
def test_collect_event(self):
sitewide_integration, ignore = create(
self._db,
ExternalIntegration,
goal=ExternalIntegration.ANALYTICS_GOAL,
protocol="mock_analytics_provider")
library, ignore = create(self._db, Library, short_name="library")
library_integration, ignore = create(
self._db,
ExternalIntegration,
goal=ExternalIntegration.ANALYTICS_GOAL,
protocol="mock_analytics_provider",
)
library_integration.libraries += [library]
work = self._work(title="title", with_license_pool=True)
[lp] = work.license_pools
analytics = Analytics(self._db)
sitewide_provider = analytics.sitewide_providers[0]
library_provider = analytics.library_providers[library.id][0]
analytics.collect_event(self._default_library, lp,
CirculationEvent.DISTRIBUTOR_CHECKIN, None)
# The sitewide provider was called.
eq_(1, sitewide_provider.count)
eq_(CirculationEvent.DISTRIBUTOR_CHECKIN, sitewide_provider.event_type)
# The library provider wasn't called, since the event was for a different library.
eq_(0, library_provider.count)
analytics.collect_event(library, lp,
CirculationEvent.DISTRIBUTOR_CHECKIN, None)
# Now both providers were called, since the event was for the library provider's library.
eq_(2, sitewide_provider.count)
eq_(1, library_provider.count)
eq_(CirculationEvent.DISTRIBUTOR_CHECKIN, library_provider.event_type)
# Here's an event that we couldn't associate with any
# particular library.
analytics.collect_event(None, lp,
CirculationEvent.DISTRIBUTOR_CHECKOUT, None)
# It's counted as a sitewide event, but not as a library event.
eq_(3, sitewide_provider.count)
eq_(1, library_provider.count)
def __init__(self, label, params={}, **kwargs):
self.label = label
self.setup = Setup()
self.ana = Analytics()
if 'analysis_type' in kwargs:
self.analysis_type = kwargs['analysis_type']
else:
self.analysis_type = 'dynamical'
# set default analysis and circuit parameter
self._set_up_circuit(params, kwargs)
# set parameter derived from analysis and circuit parameter
new_vars = self.setup.get_params_for_analysis(self)
new_vars['label'] = self.label
self._set_class_variables(new_vars)
# set variables which require calculation in analytics class
self._calc_variables()
def collection_and_analysis(data, is_analytic):
entrants = []
for fio in data:
entrant = EntrantApplications(fio)
entrants.append(entrant)
result = []
for entrant in entrants:
result.append(entrant.fname)
result.append('Согласие о зачислении подано на направление: ' +
entrant.priority[1])
for direction in entrant.apps:
result.append(direction[1])
result.append('')
if is_analytic:
analysis = Analytics(entrants)
result.extend(analysis.get_analytics())
return result
def main():
'''Main function of the script'''
logger = CliLogger()
analytics = Analytics(logger)
analytics.ignore = [
'screenshot', 'get_minimap_coor', 'get_minimap_areas', 'get_objects'
]
screen = Screen()
hwnd = wait_league_window(logger, (0, 0, 1024, 768))
time.sleep(1)
logger.log('Press and hold x to exit bot.')
while True:
if keyboard.is_pressed('x'):
break
img = screen.screenshot(find_rect(hwnd))
time.sleep(1)
def main():
'''Main function of the script'''
paused = False
logger = CliLogger()
screen = Screen()
resources = Resources()
analytics = Analytics(logger)
cooldown = Cooldown(COOLDOWNS)
analytics.ignore = ANALYTICS_IGNORE
resources.load(analytics)
utility = Utility(logger, screen, resources, analytics, cooldown)
logic = Logic(utility)
try:
handle = wait_league_window(logger, (0, 0, 1024, 768))
except CantForgroundWindowError:
pass
logger.log('Press and hold x to exit bot.')
screen.d3d.capture(target_fps=10, region=find_rect(handle))
while True:
try:
if keyboard.is_pressed('x'):
raise BotExitException
if keyboard.is_pressed('ctrl+u'):
paused = False
if paused:
time.sleep(0.1)
continue
if keyboard.is_pressed('ctrl+p'):
paused = True
logger.log(
'Bot paused. Press ctrl+u to unpause. Press x to exit.')
continue
logic.tick()
time.sleep(random.randint(*TICK_INTERVAL) / 1000)
except BotContinueException as exp:
time.sleep(random.randint(*exp.tick_interval) / 1000)
except NoCharacterInMinimap:
time.sleep(1)
except BotExitException:
screen.d3d.stop()
break
except Exception: # pylint:disable=broad-except
traceback.print_exc()
screen.d3d.stop()
break
def __init__(self):
self.connection = psql_connection()
self.analytics = Analytics(token=MIXPANEL_TOKEN)
self.payment_processor = Payment(token=STRIPE_TOKEN)
try:
cpus = cpu_count()
except NotImplementedError:
cpus = 2
self.queue = Queue()
self.processes = list()
for i in xrange(cpus):
print "Worker Process #{} Initialized".format(i)
p = Process(target=work_queue, args=(self.queue,))
p.start()
self.processes.append(p)
def main():
print("Imports data into InfluxDB. Use --help for parameters")
use_importers = read_parameters()
importers = [Catalanitzador(), Programs(), AdSense(), Analytics(),
TTS(), TM(), DictMutilingual(), Criteo(), Traductor(), STT(), NeuralTranslator()]
for importer in importers:
try:
if use_importers and type(importer).__name__.lower() not in use_importers:
continue
importer.do()
except Exception as e:
msg = "Error at importer '{0}': {1}"
print(msg.format(type(importer).__name__, e))
exc_type, exc_value, exc_traceback = sys.exc_info()
traceback.print_tb(exc_traceback, limit=1, file=sys.stdout)
def post(self, opt):
params = tornado.escape.json_decode(self.request.body)
logging.info('load data', opt, params)
res = {}
if opt == 'upload':
AnalyticsHandler.data = Dataset(
pd.DataFrame.from_dict(params['data']))
else:
AnalyticsHandler.data = Dataset(pd.read_csv(params['url']))
if '$select' in params:
AnalyticsHandler.data.select(**params['$select'])
if '$preprocess' in params:
AnalyticsHandler.data.preprocess(**params['$preprocess'])
if '$transform' in params:
AnalyticsHandler.data.transform(**params['$transform'])
AnalyticsHandler.program = Analytics(AnalyticsHandler.data,
AnalyticsHandler.models)
res = AnalyticsHandler.program.metadata()
self.write(res)
def __init__(self, opt, from_file=False):
self.opt = opt
self.max_size_lim = opt.max_size_lim
self.prolif_lim = self.opt.prolif_lim
if not from_file:
self.tumoursize = opt.init_size
self.clonecount = 1
self.all_mutations = {'b': [], 'n': [], 'd': [], 'r': []}
self.subpop = Subpopulation(opt=opt,
prolif=opt.pro,
mut_rate=opt.mut,
depth=0,
t_curr=0,
col='n',
prev_time=0)
if opt.init_diversity:
self.subpop.size = 0
self.subpop.new_subpop_from_file(self.opt, self.opt.sub_file)
else:
self.subpop.size = opt.init_size
self.avg_pro_rate = self.opt.pro
self.avg_mut_rate = self.opt.mut
self.analytics_base = Analytics()
else:
# these attributes will be initialised from file
self.tumoursize = self.clonecount = None
self.all_mutations = self.subpop = None
self.avg_pro_rate = self.avg_mut_rate = None
self.analytics_base = None
self.select_pressure = 0.0
self.mutagenic_pressure = 0.0
self.selective_pressure_applied = False
# these lists will be populated at crash time
self.mid_proliferation = []
self.mid_mutation = []
def main():
'''Main function of the script'''
root = tkinter.Tk()
root.title('Training Data Generator')
canvas = tkinter.Canvas(root, width=300, height=300)
canvas.pack()
canvas_img = canvas.create_image(20, 20, anchor="nw")
root.mainloop(n=1)
parser = argparse.ArgumentParser()
parser.add_argument('--all', '-a', action='store_true')
parser.add_argument('--interactive', '-i', action='store_true')
args = parser.parse_args()
logger = CliLogger()
screen = Screen()
analytics = Analytics(logger)
def tick_gui(img):
tick(lambda: askstring('Enter label. Type exit to stop.', root, parent=root),
lambda i: canvas.itemconfig(canvas_img, image=i), img)
if args.interactive:
hwnd = wait_league_window(logger, (0, 0, 1024, 768))
img = screen.screenshot(analytics, find_rect(hwnd))
img = cv2.cvtColor(img, cv2.COLOR_RGB2BGR)
tick_gui(img)
return
if args.all:
files = glob.glob('screenshots/*.png')
else:
files = [glob.glob('screenshots/*.png')[0]]
for file in files:
img = cv2.imread(file)
tick_gui(img)
app.config.from_object('config')
db = SQLAlchemy(app)
# --------------------------------------------------------------- #
from models import User, WaitingListUser, ActiveChatsUser
from templates import TextTemplate
from DB_Wrappers import *
usersdb = UsersDB(db=db)
waitlistdb = WaitingListDB(db=db)
activechatsdb = ActiveChatsDB(db=db)
from modules import *
setup_all()
metrics = Analytics()
Int = Interrupts()
game = Game(db=db)
# --------------------------------------------------------------- #
@app.route('/webview/', methods=['POST'])
def getProfile():
try:
print("FORM SUBMITTED", dict(request.form))
bio = request.form['bio']
interests = request.form['interests']
id = request.form['psid']
print("USER ID", id)
user = usersdb.get(id)
user.interests = interests
def processTransactions(self):
transactions = self.getAllTransactions()
transactions.reverse()
self.analysis = Analytics(transactions)
self.analysis.process()