def testNormalizationTimes(self):
base = eum.UserBase()
josh = eum.UserModel()
josh.increase_utility_by_n("scenery", 100)
josh.increase_utility_by_n("noise", 10)
start, end = (37.504712, -122.314189), (37.509580, -122.321560) ## GPS points
josh.add_to_last(start, end)
curr_time = datetime.datetime.now()
curr_month = curr_time.month
curr_year = curr_time.year
curr_minute = curr_time.minute
curr_day = curr_time.day
curr_hour = curr_time.hour
walk_otp = otp.OTP(start, end, "WALK", eum.write_day(curr_month, curr_day, curr_year), eum.write_time(curr_hour, curr_minute), False)
bike_otp = otp.OTP(start, end, "BICYCLE", eum.write_day(curr_month, curr_day, curr_year), eum.write_time(curr_hour, curr_minute), False)
choices = walk_otp.get_all_trips(0,0,0) + bike_otp.get_all_trips(0,0,0)
normal_times = eum.get_normalized_times(choices)
normal_sweat = eum.get_normalized_sweat(choices, True)
normal_beauty = eum.get_normalized_beauty(choices)
print("normal times = %s" % normal_times)
print("normal sweat = %s" % normal_sweat)
print("normal beauty = %s" % normal_beauty)
self.assertAlmostEqual(sum(normal_times), 1)
self.assertAlmostEqual(sum(normal_sweat), 1)
self.assertAlmostEqual(sum(normal_beauty), 1)
def testE2E(self):
base = eum.UserBase()
josh = eum.UserModel()
josh.increase_utility_by_n("time", 10)
josh.increase_utility_by_n("noise", 10)
start, end = (37.504712, -122.314189), (37.509580, -122.321560) ## GPS points
josh.add_to_last(start, end)
curr_time = datetime.datetime.now()
curr_month = curr_time.month
curr_year = curr_time.year
curr_minute = curr_time.minute
curr_day = curr_time.day
curr_hour = curr_time.hour
walk_otp = otp.OTP(start, end, "WALK", eum.write_day(curr_month, curr_day, curr_year), eum.write_time(curr_hour, curr_minute), False)
bike_otp = otp.OTP(start, end, "BICYCLE", eum.write_day(curr_month, curr_day, curr_year), eum.write_time(curr_hour, curr_minute), True)
choices = walk_otp.get_all_trips(0,0,0) + bike_otp.get_all_trips(0,0,0)
trips = josh.get_top_choices_lat_lng(start, end, tot_trips=choices)
end = (37.512048, -122.316614)
self.assertTrue(josh.delta(start, end))
josh.add_to_last(start, end)
self.assertFalse(josh.delta(start, end))
josh.increase_utility_by_n("time", -200)
josh.add_to_last(start, end)
new_choices = josh.get_top_choices_lat_lng(start, end, tot_trips=choices)
def testE2E(self):
base = eum.UserBase()
josh = eum.UserModel()
josh.increase_utility_by_n("time", 10)
josh.increase_utility_by_n("noise", 10)
start, end = (37.504712, -122.314189), (37.509580, -122.321560
) ## GPS points
josh.add_to_last(start, end)
curr_time = datetime.datetime.now()
curr_month = curr_time.month
curr_year = curr_time.year
curr_minute = curr_time.minute
curr_day = curr_time.day
curr_hour = curr_time.hour
self.base_url = os.environ("OTP_SERVER")
walk_otp = otp.OTP(self.base_url).route(
start, end, "WALK", eum.write_day(curr_month, curr_day, curr_year),
eum.write_time(curr_hour, curr_minute), False)
bike_otp = otp.OTP(self.base_url).route(
start, end, "BICYCLE",
eum.write_day(curr_month, curr_day, curr_year),
eum.write_time(curr_hour, curr_minute), True)
choices = walk_otp.get_all_trips(0, 0, 0) + bike_otp.get_all_trips(
0, 0, 0)
trips = josh.get_top_choices_lat_lng(start, end, tot_trips=choices)
end = (37.512048, -122.316614)
self.assertTrue(josh.delta(start, end))
josh.add_to_last(start, end)
self.assertFalse(josh.delta(start, end))
josh.increase_utility_by_n("time", -200)
josh.add_to_last(start, end)
new_choices = josh.get_top_choices_lat_lng(start,
end,
tot_trips=choices)
def testNormalizationTimes(self):
base = eum.UserBase()
josh = eum.UserModel()
josh.increase_utility_by_n("scenery", 100)
josh.increase_utility_by_n("noise", 10)
start, end = (37.504712, -122.314189), (37.509580, -122.321560
) ## GPS points
josh.add_to_last(start, end)
curr_time = datetime.datetime.now()
curr_month = curr_time.month
curr_year = curr_time.year
curr_minute = curr_time.minute
curr_day = curr_time.day
curr_hour = curr_time.hour
self.base_url = os.environ("OTP_SERVER")
walk_otp = otp.OTP(self.base_url).route(
start, end, "WALK", eum.write_day(curr_month, curr_day, curr_year),
eum.write_time(curr_hour, curr_minute), False)
bike_otp = otp.OTP(self.base_url).route(
start, end, "BICYCLE",
eum.write_day(curr_month, curr_day, curr_year),
eum.write_time(curr_hour, curr_minute), False)
choices = walk_otp.get_all_trips(0, 0, 0) + bike_otp.get_all_trips(
0, 0, 0)
normal_times = eum.get_normalized_times(choices)
normal_sweat = eum.get_normalized_sweat(choices, True)
normal_beauty = eum.get_normalized_beauty(choices)
print("normal times = %s" % normal_times)
print("normal sweat = %s" % normal_sweat)
print("normal beauty = %s" % normal_beauty)
self.assertAlmostEqual(sum(normal_times), 1)
self.assertAlmostEqual(sum(normal_sweat), 1)
self.assertAlmostEqual(sum(normal_beauty), 1)