def test_bus_estimate_accessor(self):
bus_estimation_accessor.reset()
bus_estimation_accessor.start()
bus_estimation_accessor.add_sample('jalan1', 'jalan2', 90)
real_value = bus_estimation_accessor.predict_eta('jalan1', 'jalan2')
self.assertEqual(real_value, 90)
bus_estimation_accessor.add_sample('jalan1', 'jalan2', 10)
real_value = bus_estimation_accessor.predict_eta('jalan1', 'jalan2')
self.assertEqual(real_value, 50)
bus_estimation_accessor.stop()
def __generate_busway_mode():
"""
:rtype list[BuswayMode]
:return:
"""
mode_list = []
bus_route_list = bus_route_accessor.get_all_bus_routes()
""":type :list[BusRoute]"""
for bus_route in bus_route_list:
station_list = bus_route.stations
corridor_name = bus_route.corridor_name
origin_list = station_list[:-1]
destination_list = station_list[1:]
for origin, destination in zip(origin_list, destination_list):
eta = bus_estimation_accessor.predict_eta(origin, destination)
eta = eta if eta else general_config.get_default_eta()
bus_mode = BuswayMode()
bus_mode.name = corridor_name
bus_mode.corridor = corridor_name
bus_mode.eta = max(eta / 60, 1)
bus_mode.price = general_config.get_default_price()
bus_mode.origin = origin
bus_mode.destination = destination
bus_mode.heading_from = station_list[0]
bus_mode.heading_to = station_list[-1]
mode_list.append(bus_mode)
for destination, origin in zip(origin_list, destination_list):
eta = bus_estimation_accessor.predict_eta(origin, destination)
eta = eta if eta else general_config.get_default_eta()
bus_mode = BuswayMode()
bus_mode.name = corridor_name
bus_mode.corridor = corridor_name
bus_mode.eta = max(eta / 60, 1)
bus_mode.price = general_config.get_default_price()
bus_mode.origin = origin
bus_mode.destination = destination
bus_mode.heading_from = station_list[-1]
bus_mode.heading_to = station_list[0]
mode_list.append(bus_mode)
return mode_list
def __generate_busway_mode():
"""
:rtype list[BuswayMode]
:return:
"""
mode_list = []
bus_route_list = bus_route_accessor.get_all_bus_routes()
""":type :list[BusRoute]"""
for bus_route in bus_route_list:
station_list = bus_route.stations
corridor_name = bus_route.corridor_name
origin_list = station_list[:-1]
destination_list = station_list[1:]
for origin, destination in zip(origin_list, destination_list):
eta = bus_estimation_accessor.predict_eta(origin, destination)
eta = eta if eta else general_config.get_default_eta()
bus_mode = BuswayMode()
bus_mode.name = corridor_name
bus_mode.corridor = corridor_name
bus_mode.eta = max(eta / 60, 1)
bus_mode.price = general_config.get_default_price()
bus_mode.origin = origin
bus_mode.destination = destination
bus_mode.heading_from = station_list[0]
bus_mode.heading_to = station_list[-1]
mode_list.append(bus_mode)
for destination, origin in zip(origin_list, destination_list):
eta = bus_estimation_accessor.predict_eta(origin, destination)
eta = eta if eta else general_config.get_default_eta()
bus_mode = BuswayMode()
bus_mode.name = corridor_name
bus_mode.corridor = corridor_name
bus_mode.eta = max(eta / 60, 1)
bus_mode.price = general_config.get_default_price()
bus_mode.origin = origin
bus_mode.destination = destination
bus_mode.heading_from = station_list[-1]
bus_mode.heading_to = station_list[0]
mode_list.append(bus_mode)
return mode_list
def __update_bus_states_and_bus_queues(buses_data, mapping_threshold,
station_locations, bus_routes):
"""
:type buses_data: dict[str,BusTrackData]
:type bus_routes: list[BusRoute]
:param buses_data:
:return:
"""
bus_names = buses_data.keys()
bus_coordinates = [(float(buses_data[bus_name].latitude),
float(buses_data[bus_name].longitude))
for bus_name in bus_names]
bus_stops = __locate_bus(bus_coordinates, mapping_threshold,
station_locations)
bus_name_stops = filter(lambda x: x[1] is not None,
zip(bus_names, bus_stops))
# update bus states
bus_state_list = bus_state_accessor.get_all_bus_state()
for bus_name, bus_stop in bus_name_stops:
bus_state = bus_state_accessor.get_bus_state(bus_name)
if bus_state is not None:
assert isinstance(bus_state, BusState)
if not bus_state.last_station == bus_stop:
bus_state.name = bus_name
bus_state.previous_station = bus_state.last_station
bus_state.previous_time_stop = bus_state.last_time_stop
bus_state.last_station = bus_stop
bus_state.last_time_stop = datetime.datetime.utcnow()
bus_state.stop_list.append(bus_stop)
bus_state_accessor.upset_bus_state(bus_state)
if bus_state.last_time_stop is not None and bus_state.previous_time_stop is not None:
origin = bus_state.previous_station
destination = bus_state.last_station
delta = (bus_state.last_time_stop -
bus_state.previous_time_stop).seconds
logging.info('Learn from {0} to {1} is {2}'.format(
origin, destination, delta))
bus_estimation_accessor.add_sample(origin, destination,
delta)
else:
bus_state = BusState()
bus_state.name = bus_name
bus_state.last_station = bus_stop
bus_state.last_time_stop = datetime.datetime.utcnow()
bus_state.stop_list.append(bus_stop)
bus_state_accessor.upset_bus_state(bus_state)
# update bus next stop
next_bus_accessor.reset()
refreshed_bus_state_list = bus_state_accessor.get_all_bus_state()
for bus_state in refreshed_bus_state_list:
for bus_route in bus_routes:
forward_route = bus_route.stations
backward_route = bus_route.stations[::-1]
if __is_in(bus_state.stop_list, forward_route):
last_station = bus_state.last_station
last_index = forward_route.index(last_station)
if last_index + 1 < len(forward_route):
next_stop = forward_route[last_index + 1]
prediction = bus_estimation_accessor.predict_eta(
last_station, next_stop)
next_bus = NextBus()
next_bus.bus_name = bus_name
next_bus.prediction = prediction
next_bus.current_station = last_station
next_bus_accessor.set_next_bus(forward_route[0],
forward_route[-1],
next_stop, next_bus)
if __is_in(bus_state.stop_list, backward_route):
last_station = bus_state.last_station
last_index = backward_route.index(last_station)
if last_index + 1 < len(backward_route):
next_stop = backward_route[last_index + 1]
prediction = bus_estimation_accessor.predict_eta(
last_station, next_stop)
next_bus = NextBus()
next_bus.bus_name = bus_name
next_bus.prediction = prediction
next_bus.current_station = last_station
next_bus_accessor.set_next_bus(forward_route[0],
forward_route[-1],
next_stop, next_bus)
def __update_bus_states_and_bus_queues(buses_data,
mapping_threshold,
station_locations,
bus_routes):
"""
:type buses_data: dict[str,BusTrackData]
:type bus_routes: list[BusRoute]
:param buses_data:
:return:
"""
bus_names = buses_data.keys()
bus_coordinates = [(float(buses_data[bus_name].latitude), float(buses_data[bus_name].longitude)) for bus_name in
bus_names]
bus_stops = __locate_bus(bus_coordinates, mapping_threshold, station_locations)
bus_name_stops = filter(lambda x: x[1] is not None, zip(bus_names, bus_stops))
# update bus states
bus_state_list = bus_state_accessor.get_all_bus_state()
for bus_name, bus_stop in bus_name_stops:
bus_state = bus_state_accessor.get_bus_state(bus_name)
if bus_state is not None:
assert isinstance(bus_state, BusState)
if not bus_state.last_station == bus_stop:
bus_state.name = bus_name
bus_state.previous_station = bus_state.last_station
bus_state.previous_time_stop = bus_state.last_time_stop
bus_state.last_station = bus_stop
bus_state.last_time_stop = datetime.datetime.utcnow()
bus_state.stop_list.append(bus_stop)
bus_state_accessor.upset_bus_state(bus_state)
if bus_state.last_time_stop is not None and bus_state.previous_time_stop is not None:
origin = bus_state.previous_station
destination = bus_state.last_station
delta = (bus_state.last_time_stop - bus_state.previous_time_stop).seconds
logging.info('Learn from {0} to {1} is {2}'.format(origin, destination, delta))
bus_estimation_accessor.add_sample(origin, destination, delta)
else:
bus_state = BusState()
bus_state.name = bus_name
bus_state.last_station = bus_stop
bus_state.last_time_stop = datetime.datetime.utcnow()
bus_state.stop_list.append(bus_stop)
bus_state_accessor.upset_bus_state(bus_state)
# update bus next stop
next_bus_accessor.reset()
refreshed_bus_state_list = bus_state_accessor.get_all_bus_state()
for bus_state in refreshed_bus_state_list:
for bus_route in bus_routes:
forward_route = bus_route.stations
backward_route = bus_route.stations[::-1]
if __is_in(bus_state.stop_list, forward_route):
last_station = bus_state.last_station
last_index = forward_route.index(last_station)
if last_index + 1 < len(forward_route):
next_stop = forward_route[last_index + 1]
prediction = bus_estimation_accessor.predict_eta(last_station, next_stop)
next_bus = NextBus()
next_bus.bus_name = bus_name
next_bus.prediction = prediction
next_bus.current_station = last_station
next_bus_accessor.set_next_bus(forward_route[0], forward_route[-1], next_stop,
next_bus)
if __is_in(bus_state.stop_list, backward_route):
last_station = bus_state.last_station
last_index = backward_route.index(last_station)
if last_index + 1 < len(backward_route):
next_stop = backward_route[last_index + 1]
prediction = bus_estimation_accessor.predict_eta(last_station, next_stop)
next_bus = NextBus()
next_bus.bus_name = bus_name
next_bus.prediction = prediction
next_bus.current_station = last_station
next_bus_accessor.set_next_bus(forward_route[0], forward_route[-1], next_stop,
next_bus)