def test_get_geoip_data_for_x_forwarded_for(self):
with self.app.test_request_context(
environ_base={'HTTP_X_FORWARDED_FOR': '1.2.3.4'}):
simple_geoip = SimpleGeoIP(self.app)
data = simple_geoip.get_geoip_data()
self.assertIsInstance(data, dict)
self.assertEqual(data['ip'], '1.2.3.4')
def test_get_geoip_data_with_multiple_proxies(self):
with self.app.test_request_context(environ_base={
'HTTP_X_FORWARDED_FOR':
'1.2.3.4, 1.2.3.5, 1.2.3.6, 1.2.3.7'
}):
simple_geoip = SimpleGeoIP(self.app)
data = simple_geoip.get_geoip_data()
self.assertIsInstance(data, dict)
self.assertEqual(data['ip'], '1.2.3.4')
def test_get_geoip_data_with_malformed_x_forwarded_for(self):
environ_base = {
'REMOTE_ADDR': '127.0.0.1',
'HTTP_X_FORWARDED_FOR': '<script> alert(1) </script'
}
with self.app.test_request_context(environ_base=environ_base):
simple_geoip = SimpleGeoIP(self.app)
data = simple_geoip.get_geoip_data()
self.assertIsInstance(data, dict)
self.assertEqual(data['ip'], request.remote_addr)
def get_forecast_data():
session['sequence'] = 0
seg = session.get('sequence')
simple_geoip = SimpleGeoIP(current_app)
geoip_data = simple_geoip.get_geoip_data()
depart = 'Val-de-Marne'
currentdate = datetime.today().strftime('%Y-%m-%d')
last = datetime.strptime('2021-01-31', "%Y-%m-%d")
d2 = datetime.strptime(datetime.today().strftime('%Y-%m-%d'), "%Y-%m-%d")
days_current = abs((d2 - last).days)
current_forecast = create_dates('2021-01-31', days_current)
demain_forcast = create_dates('2021-01-31', (days_current + 1))
seven_forcats = create_dates('2021-01-31', (days_current + 7))
quinze_forcats = create_dates('2021-01-31', (days_current + 15))
tente_forcats = create_dates('2021-01-31', (days_current + 30))
for i in range(len(departments)):
seven_days_svr = forecast_svr(x_test[i], days_current, model[i], 60,
scaler[i])
current_forecast[departments[i]] = np.array(seven_days_svr)
for i in range(len(departments)):
seven_days_svr = forecast_svr(x_test[i], days_current + 1, model[i],
60, scaler[i])
demain_forcast[departments[i]] = np.array(seven_days_svr)
for i in range(len(departments)):
seven_days_svr = forecast_svr(x_test[i], days_current + 7, model[i],
60, scaler[i])
seven_forcats[departments[i]] = np.array(seven_days_svr)
for i in range(len(departments)):
seven_days_svr = forecast_svr(x_test[i], days_current + 15, model[i],
60, scaler[i])
quinze_forcats[departments[i]] = np.array(seven_days_svr)
for i in range(len(departments)):
seven_days_svr = forecast_svr(x_test[i], days_current + 30, model[i],
60, scaler[i])
tente_forcats[departments[i]] = np.array(seven_days_svr)
tente_forcats = tente_forcats.tail(30)
quinze_forcats = quinze_forcats.tail(15)
seven_forcats = seven_forcats.tail(7)
demain_forcast = demain_forcast.tail(1)
current_forecast = current_forecast.tail(1)
print(current_forecast)
#print(seven_forcats.tail(7))
return {
'current': current_forecast.to_json(),
'tomorrow': demain_forcast.to_json(),
'seven_days': seven_forcats.to_json(),
'fifteen_days': quinze_forcats.to_json(),
'thirty_days': tente_forcats.to_json()
}
def test_get_geoip_data_for_custom_addr(self):
with self.app.test_request_context():
simple_geoip = SimpleGeoIP(self.app)
data = simple_geoip.get_geoip_data('8.8.8.8')
self.assertIsInstance(data, dict)
self.assertEqual(data['ip'], '8.8.8.8')
def test_get_geoip_data(self):
with self.app.test_request_context():
simple_geoip = SimpleGeoIP(self.app)
data = simple_geoip.get_geoip_data()
self.assertIsInstance(data, dict)