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)
Example #3
0
    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)
Example #4
0
    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)