def qualifier_crowfly_test():
journeys = []
journey_standard = response_pb2.Journey()
journey_standard.arrival_date_time = str_to_time_stamp('20140825T113224')
journey_standard.duration = 2620
journey_standard.nb_transfers = 1
journey_standard.sections.add()
journey_standard.sections.add()
journey_standard.sections.add()
journey_standard.sections[0].type = response_pb2.CROW_FLY
journey_standard.sections[0].duration = 796
journey_standard.sections[-1].type = response_pb2.CROW_FLY
journey_standard.sections[-1].duration = 864
journeys.append(journey_standard)
journey_health = response_pb2.Journey()
journey_health.arrival_date_time = str_to_time_stamp('20140825T114000')
journey_health.duration = 3076
journey_health.nb_transfers = 1
journey_health.sections.add()
journey_health.sections.add()
journey_health.sections.add()
journey_health.sections[0].type = response_pb2.CROW_FLY
journey_health.sections[0].duration = 796
journey_health.sections[-1].type = response_pb2.CROW_FLY
journey_health.sections[-1].duration = 0
journeys.append(journey_health)
qualifier.qualifier_one(journeys, "departure")
eq_(journey_standard.type, "rapid") # the standard should be the fastest
eq_(journey_health.type, "less_fallback_walk")
def test_heavy_journey_walking():
"""
we don't filter any journey with walking
"""
request = {'_min_bike': 10, '_min_car': 20}
journey = response_pb2.Journey()
journey.sections.add()
journey.sections[-1].type = response_pb2.STREET_NETWORK
journey.sections[-1].street_network.mode = response_pb2.Walking
journey.sections[-1].duration = 5
journey_filter._filter_too_short_heavy_journeys([journey], request)
assert 'to_delete' not in journey.tags
def remove_extra_journeys_more_with_walking_first_test():
j1 = response_pb2.Journey()
j1.type = 'non_pt_walk'
journeys = [j1, get_bss_bss_journey(), get_bike_car_journey(), get_bss_bike_journey()]
saved_journeys = deepcopy(journeys)
scenario = destineo.Scenario()
scenario._remove_extra_journeys(journeys, None, clockwise=True, timezone='UTC')
eq_(len(journeys), 4)
scenario._remove_extra_journeys(journeys, 2, clockwise=True, timezone='UTC')
eq_(len(journeys), 3)
eq_(journeys[0], j1)
eq_(journeys[1], saved_journeys[1])
eq_(journeys[2], saved_journeys[2])
def pt_duration_walking_test():
journey = response_pb2.Journey()
section = journey.sections.add()
section.type = response_pb2.STREET_NETWORK
section.street_network.mode = response_pb2.Walking
section.duration = 60
section = journey.sections.add()
section.type = response_pb2.PUBLIC_TRANSPORT
section.duration = 80
section = journey.sections.add()
section.type = response_pb2.STREET_NETWORK
section.street_network.mode = response_pb2.Walking
section.duration = 60
assert pt_duration(journey) == 80
def test_heavy_journey_car():
"""
the first time the duration of the car section is superior to the min value, so we keep the journey
on the second test the duration is inferior to the min, so we delete the journey
"""
journey = response_pb2.Journey()
journey.sections.add()
journey.sections[-1].type = response_pb2.STREET_NETWORK
journey.sections[-1].street_network.mode = response_pb2.Car
journey.durations.car = journey.sections[-1].duration = 25
f = jf.FilterTooShortHeavyJourneys(min_bike=10, min_car=20)
assert f.filter_func(journey)
journey.durations.car = journey.sections[-1].duration = 15
f = jf.FilterTooShortHeavyJourneys(min_bike=10, min_car=20)
assert not f.filter_func(journey)
def qualifier_one_direct_test():
journeys = []
journey_direct = response_pb2.Journey()
journey_direct.arrival_date_time = str_to_time_stamp("20131107T151200")
journey_direct.duration = 25 * 60
journey_direct.nb_transfers = 0
journey_direct.sections.add()
journey_direct.sections.add()
journey_direct.sections[0].type = response_pb2.STREET_NETWORK
journey_direct.sections[0].duration = 2 * 60
journey_direct.sections[1].type = response_pb2.STREET_NETWORK
journey_direct.sections[1].duration = 4 * 60
journeys.append(journey_direct)
qualifier.qualifier_one(journeys, "departure")
assert ("non_pt" in journey_direct.type)
def remove_extra_journeys_similar_journey_latest_dep():
j1 = response_pb2.Journey()
j1.type = 'non_pt_walk'
j_eq1 = generate_journey(['bob'])
j_eq1.type = 'bob' # used as an id in the test
j_eq1.departure_date_time = 1425989999 # leave after, it's better
j_eq1.arrival_date_time = 1425990000
j_eq2 = generate_journey(['bob'])
j_eq2.type = 'bobette'
j_eq2.departure_date_time = 1425984855
j_eq2.arrival_date_time = 1425990000
journeys = [j1, j_eq1, j_eq2]
scenario = destineo.Scenario()
scenario._remove_extra_journeys(journeys, None, clockwise=True, timezone='UTC')
eq_(len(journeys), 2)
eq_(journeys[1].type, 'bob')
def test_heavy_journey_ridesharing():
"""
the first time the duration of the ridesharing section is superior to the min value, so we keep the journey
on the second test the duration is inferior to the min, so we delete the journey
"""
journey = response_pb2.Journey()
journey.sections.add()
journey.sections[-1].type = response_pb2.STREET_NETWORK
journey.sections[-1].street_network.mode = response_pb2.Ridesharing
journey.durations.ridesharing = journey.sections[-1].duration = 25
# Ridesharing duration is superior to min_ridesharing value so we have ridesharing section
f = jf.FilterTooShortHeavyJourneys(min_ridesharing=20)
assert f.filter_func(journey)
# Ridesharing duration is inferior to min_ridesharing value
# In this case we have reject ridesharing section
journey.durations.ridesharing = journey.sections[-1].duration = 15
f = jf.FilterTooShortHeavyJourneys(min_ridesharing=20)
assert not f.filter_func(journey)
def test_activate_deactivate_min_taxi():
"""
A B C D
*................*============================*.............*
A: origin
D: Destination
A->B : taxi
B->C : public transport
C->D : taxi
"""
# case 1: request with duration_taxi greater than min_taxi
journey = response_pb2.Journey()
journey.sections.add()
journey.sections[-1].type = response_pb2.STREET_NETWORK
journey.sections[-1].street_network.mode = response_pb2.Taxi
journey.sections[-1].duration = 5
journey.sections.add()
journey.sections[-1].type = response_pb2.PUBLIC_TRANSPORT
journey.sections[-1].street_network.mode = response_pb2.PUBLIC_TRANSPORT
journey.sections[-1].duration = 35
journey.sections.add()
journey.sections[-1].type = response_pb2.STREET_NETWORK
journey.sections[-1].street_network.mode = response_pb2.Taxi
journey.sections[-1].duration = 7
journey.durations.taxi = 12
f = jf.FilterTooShortHeavyJourneys(min_taxi=10)
assert f.filter_func(journey)
# case 2: request with duration_taxi less than min_taxi
journey.sections[-1].duration = 2
journey.durations.taxi = 7
f = jf.FilterTooShortHeavyJourneys(min_taxi=10)
assert not f.filter_func(journey)
def tranfers_cri_test():
journeys = []
dates = [
"20131107T100000", "20131107T150000", "20131107T050000",
"20131107T100000", "20131107T150000", "20131107T050000"
]
transfers = [4, 3, 8, 1, 1, 2]
for i in range(6):
journey = response_pb2.Journey()
journey.nb_transfers = transfers[i]
journey.arrival_date_time = str_to_time_stamp(dates[i])
journeys.append(journey)
best = qualifier.min_from_criteria(
journeys, [qualifier.transfers_crit, qualifier.arrival_crit])
#the transfert criterion is first, and then if 2 journeys have
#the same nb_transfers, we compare the dates
eq_(best.nb_transfers, 1)
eq_(best.arrival_date_time, str_to_time_stamp("20131107T100000"))
def qualifier_two_test():
journeys = []
journey_standard = response_pb2.Journey()
journey_standard.type = "none"
journey_standard.arrival_date_time = str_to_time_stamp("20131107T150000")
journey_standard.duration = 60 * 60
journey_standard.nb_transfers = 3
journey_standard.sections.add()
journey_standard.sections.add()
journey_standard.sections.add()
journey_standard.sections.add()
journey_standard.sections[0].type = response_pb2.STREET_NETWORK
journey_standard.sections[0].duration = 10 * 60
journey_standard.sections[-1].type = response_pb2.STREET_NETWORK
journey_standard.sections[-1].duration = 10 * 60
journeys.append(journey_standard)
journey_rapid = response_pb2.Journey()
journey_rapid.arrival_date_time = str_to_time_stamp("20131107T150500")
journey_rapid.duration = 62 * 60
journey_rapid.nb_transfers = 2
journey_rapid.sections.add()
journey_rapid.sections.add()
journey_rapid.sections.add()
journey_rapid.sections[0].type = response_pb2.STREET_NETWORK
journey_rapid.sections[0].duration = 10 * 60
journey_rapid.sections[-1].type = response_pb2.STREET_NETWORK
journey_rapid.sections[-1].duration = 10 * 60
journeys.append(journey_rapid)
journey_health = response_pb2.Journey()
journey_health.arrival_date_time = str_to_time_stamp("20131107T151000")
journey_health.duration = 70 * 60
journey_health.nb_transfers = 1
journey_health.sections.add()
journey_health.sections.add()
journey_health.sections.add()
journey_health.sections[0].type = response_pb2.STREET_NETWORK
journey_health.sections[0].duration = 15 * 60
journey_health.sections[1].type = response_pb2.TRANSFER
journey_health.sections[1].duration = 10 * 60
journey_health.sections[-1].type = response_pb2.STREET_NETWORK
journey_health.sections[-1].duration = 10 * 60
journeys.append(journey_health)
journey_confort = response_pb2.Journey()
journey_confort.arrival_date_time = str_to_time_stamp("20131107T152000")
journey_confort.duration = 80 * 60
journey_confort.nb_transfers = 1
journey_confort.sections.add()
journey_confort.sections.add()
journey_confort.sections.add()
journey_confort.sections[0].type = response_pb2.STREET_NETWORK
journey_confort.sections[0].duration = 5 * 60
journey_confort.sections[-1].type = response_pb2.STREET_NETWORK
journey_confort.sections[-1].duration = 5 * 60
journeys.append(journey_confort)
qualifier.qualifier_one(journeys, "departure")
eq_(journey_standard.type, "fastest") # the standard should be the fastest
eq_(journey_rapid.type, "rapid")
