def _get_route_combinations(start: tuple, destination: tuple,
departure: str) -> List[dict]:
""" retrieves all possible routes for a specific start and destination address """
public_transport_stops = public_transport_connection_finder.get_public_transport_stops(
start)
routes = []
for public_transport_stop_uic_ref, public_transport_stop_position in public_transport_stops.items(
):
logger.debug(
f'retrieve route with start at public transport stop: {public_transport_stop_uic_ref}'
)
public_transport_departure = _calc_public_transport_departure(
departure, start, public_transport_stop_position)
try:
public_transport_connection = \
public_transport_connection_finder.get_public_transport_connection(public_transport_stop_uic_ref,
destination,
public_transport_departure)
except ValidationError:
"""
Happens if the configured lookup radius is too high and the destination is used as a start public
transport stop. So both the start and destination value will be the same.
We'are able to skip the connection and try the next one.
"""
continue
except RuntimeError:
"""
Happens if no connection was found for the given parameters.
We'are able to skip the connection and try the next one.
"""
continue
if not public_transport_connection['path']:
continue # skip empty paths, this happens if the path only consists of walking legs
public_transport_connection_start = tuple(
public_transport_connection['path'][0]['start_position'])
start_walking_route = walking_route_finder.get_walking_route(
start, public_transport_connection_start)
public_transport_connection_destination = tuple(
public_transport_connection['path'][-1]['exit_position'])
end_walking_route = walking_route_finder.get_walking_route(
public_transport_connection_destination, destination)
routes.append(
_generate_route_combination(start_walking_route,
public_transport_connection,
end_walking_route))
return routes
def _calc_public_transport_departure(departure: str, start: tuple,
destination: tuple) -> str:
"""
Adds the duration that it takes to get from start to destination to the provided departure time.
The destination should be a public transport stop to make sure that the pedestrian has enough time to catch
the public transport.
"""
walking_route = walking_route_finder.get_walking_route(start, destination)
initial_departure = datetime.strptime(departure, DEPARTURE_FORMAT)
public_transport_departure = initial_departure + timedelta(
seconds=walking_route['duration'])
return '{:%H:%M}'.format(public_transport_departure)
def _optimize_route_combination(route_combination: dict, start: tuple,
destination: tuple) -> dict:
""" retrieves accurate coordinates for the public transport stops and thus new walking routes will be generated """
logger.debug("optimize route")
public_transport_connection = route_combination[
'public_transport_connection']
optimized_public_transport_connection = \
public_transport_connection_finder.optimize_public_transport_connection(public_transport_connection)
public_transport_connection_start = tuple(
optimized_public_transport_connection['path'][0]['start_position'])
start_walking_route = walking_route_finder.get_walking_route(
start, public_transport_connection_start)
public_transport_connection_destination = tuple(
optimized_public_transport_connection['path'][-1]['exit_position'])
end_walking_route = walking_route_finder.get_walking_route(
public_transport_connection_destination, destination)
return _generate_route_combination(start_walking_route,
public_transport_connection,
end_walking_route)
def find_route(start: str, destination: str, departure: str,
precise_public_transport_stops: bool) -> dict:
logger.info(f'route from {start} to {destination}')
start = _parse_location(start)
destination = _parse_location(destination)
departure = _parse_departure(departure)
overall_walking_route = walking_route_finder.get_walking_route(
start, destination)
if overall_walking_route['duration'] <= MAX_WALKING_DURATION:
logger.info(
"Walking is faster than using public transport, return walking only route"
)
return _convert_walking_route_to_overall_response(
overall_walking_route)
route_combinations = _get_route_combinations(start, destination, departure)
if not route_combinations:
logger.info(
"No public transport route was returned because the path consists only of walking legs"
)
return _convert_walking_route_to_overall_response(
overall_walking_route)
best_route_combination = _get_best_route_combination(route_combinations)
if _is_walking_faster_than_route_combination(overall_walking_route,
best_route_combination,
departure):
return _convert_walking_route_to_overall_response(
overall_walking_route)
if precise_public_transport_stops:
best_route_combination = _optimize_route_combination(
best_route_combination, start, destination)
return best_route_combination