def test_stop_station(self):
dao = Dao()
f1 = FeedInfo("F1")
sa = Stop("F1", "SA", "Station A", 45.0000, 0.0000)
sa1 = Stop("F1", "SA1", "Stop A1", 45.0001, 0.0001)
sa1.parent_station_id = 'SA'
sb = Stop("F1", "SB", "Station B", 45.0002, 0.0002)
sb1 = Stop("F1", "SB1", "Stop B1", 45.0003, 0.0003)
sb1.parent_station_id = 'SB'
sb2 = Stop("F1", "SB2", "Stop B2", 45.0002, 0.0003)
sb2.parent_station_id = 'SB'
a1 = Agency("F1", "A1", "Agency 1", "url1", "Europe/Paris")
r1 = Route("F1", "R1", "A1", Route.TYPE_BUS)
c1 = Calendar("F1", "C1")
t1 = Trip("F1", "T1", "R1", "C1")
st1a = StopTime("F1", "T1", "SA1", 0, None, 3600, 0.0)
st1b = StopTime("F1", "T1", "SB1", 1, 3800, None, 100.0)
dao.add_all([f1, sa, sa1, sb, sb1, sb2, a1, r1, c1, t1, st1a, st1b])
stops = list(dao.stops(fltr=(Agency.agency_id == 'A1')))
self.assertTrue(len(stops) == 2)
self.assertTrue(sa1 in stops)
self.assertTrue(sb1 in stops)
stops = list(dao.stops(fltr=(Stop.parent_station_id == 'SA')))
self.assertTrue(len(stops) == 1)
self.assertTrue(sa1 in stops)
stops = list(dao.stops(fltr=(Stop.parent_station_id == 'SB')))
self.assertTrue(len(stops) == 2)
self.assertTrue(sb1 in stops)
self.assertTrue(sb2 in stops)
def test_shapes(self):
dao = Dao()
f1 = FeedInfo("")
a1 = Agency("",
"A1",
"Agency 1",
agency_url="http://www.agency.fr/",
agency_timezone="Europe/Paris")
r1 = Route("",
"R1",
"A1",
3,
route_short_name="R1",
route_long_name="Route 1")
c1 = Calendar("", "C1")
c1.dates = [
CalendarDate.ymd(2016, 1, 31),
CalendarDate.ymd(2016, 2, 1)
]
s1 = Stop("", "S1", "Stop 1", 45.0, 0.0)
s2 = Stop("", "S2", "Stop 2", 45.1, 0.1)
s3 = Stop("", "S3", "Stop 3", 45.2, 0.2)
t1 = Trip("", "T1", "R1", "C1")
t1.stop_times = [
StopTime(None, None, "S1", 0, 28800, 28800, 0.0),
StopTime(None, None, "S2", 1, 29400, 29400, 2.0),
StopTime(None, None, "S3", 2, 30000, 30000, 4.0)
]
t2 = Trip("", "T2", "R1", "C1")
t2.stop_times = [
StopTime(None, None, "S2", 0, 30600, 30600, 0.0),
StopTime(None, None, "S1", 1, 31000, 31000, 1.0)
]
sh1 = Shape("", "Sh1")
sh1.points = [
ShapePoint(None, None, 0, 45.00, 0.00, 0.0),
ShapePoint(None, None, 1, 45.05, 0.10, 1.0),
ShapePoint(None, None, 2, 45.10, 0.10, 2.0),
ShapePoint(None, None, 3, 45.15, 0.20, 3.0),
ShapePoint(None, None, 4, 45.20, 0.20, 4.0)
]
t1.shape = sh1
dao.add_all([f1, a1, r1, c1, s1, s2, s3, t1, t2, sh1])
dao.commit()
t = dao.trip("T1")
self.assertTrue(t.shape.shape_id == "Sh1")
self.assertTrue(len(t.shape.points) == 5)
t = dao.trip("T2")
self.assertTrue(t.shape == None)
def __process_stops_and_times(self, trip, timepoint, waypoints):
filtered_waypoints = [x for x in waypoints if x['name']]
for waypoint_idx, waypoint in enumerate(filtered_waypoints):
stop = Stop(self.feed_id,
str(waypoint['stationID']),
waypoint['name'],
waypoint['lat'],
waypoint['lng'])
if stop.stop_id not in self.stops:
self.stops.add(stop.stop_id)
self.dao.add(stop)
distance_traveled = math.floor(waypoint['total'])
first_departure_time = 0
if waypoint_idx == 0:
departure_time = self.__convert_tsm(timepoint)
stop_time = StopTime(feed_id=self.feed_id,
trip_id=trip.trip_id,
stop_id=stop.stop_id,
stop_sequence=0,
departure_time=departure_time,
arrival_time=departure_time,
shape_dist_traveled=distance_traveled,
timepoint=1)
first_departure_time = departure_time
elif waypoint_idx == (len(filtered_waypoints) - 1):
delta_time = self.__process_time_for_distance(waypoint['total'])
end_time = int(delta_time + first_departure_time)
stop_time = StopTime(feed_id=self.feed_id,
trip_id=trip.trip_id,
stop_id=stop.stop_id,
stop_sequence=waypoint_idx,
departure_time=end_time,
arrival_time=end_time,
shape_dist_traveled=distance_traveled,
timepoint=1)
else:
stop_time = StopTime(feed_id=self.feed_id,
trip_id=trip.trip_id,
stop_id=stop.stop_id,
stop_sequence=waypoint_idx,
departure_time=None,
arrival_time=None,
shape_dist_traveled=distance_traveled,
interpolated=True,
timepoint=0)
trip.stop_times.append(stop_time)
def _load_trips(self, route_id, direction_key, direction_stop_data):
today = midnight_today(TIMEZONE)
stop_list = list(direction_stop_data.keys())
service_trips = {}
stop_sequence = 0
# TODO: compute distance traveled based on stop gps positions
distance_traveled = 1
for stop_label, schedule_data in direction_stop_data.items():
stop_id = self._make_stop(stop_label,
**STOP_MAP.get(stop_label, {}))
for service_key, hour_data in schedule_data.items():
trips = []
times = flatten_times(today, hour_data)
if service_key in service_trips:
trips = service_trips[service_key]
else:
service_trips[service_key] = trips
trip_id_prefix = "_".join([
str(self.agency_id), route_id, direction_key,
service_key
])
for idx, time in enumerate(times):
trip_id = sanitize(f"{trip_id_prefix}_{idx}")
trip = Trip(
feed_id=self.feed_id,
trip_id=trip_id,
route_id=route_id,
service_id=service_key,
)
trips.append(trip)
self.dao.add(trip)
for trip, time in zip(trips, times):
total_seconds_from_midnight = (time -
today).total_seconds()
stop_time = StopTime(
feed_id=self.feed_id,
trip_id=trip.trip_id,
stop_id=stop_id,
stop_sequence=stop_sequence,
arrival_time=int(total_seconds_from_midnight),
departure_time=int(total_seconds_from_midnight),
shape_dist_traveled=distance_traveled,
timepoint=1,
)
trip.stop_times.append(stop_time)
stop_sequence += 1
for service_key, trips in service_trips.items():
for trip in trips:
self.dao.add(trip)
def _process_route_stop(self, r: Route, s: Stop, shp: Shape, direction,
stop_index, trips):
stoptime_data = self.line_stops_request(r.route_id, s.stop_id)
index = 0
if len(stoptime_data[0]['lines']) == 0:
logger.warning(
f"\t\tStop information missing for route {r.route_short_name} and stop {s.stop_name}"
)
if len(stoptime_data[0]['lines']
) == 0 or stoptime_data[0]['lines'][0]['timetable'] is None:
return
for schedule_time in self._convert_timetable(
stoptime_data[0]['lines'][0]['timetable']):
if len(trips) <= index:
t = Trip(
self.feed_id,
f"{r.agency_id}_{r.route_id}_{direction}_{self.service_id}_{index}",
r.route_id, self.service_id, **{
"trip_short_name": stoptime_data[0]['name'],
"trip_headsign": stoptime_data[0]['description'],
"direction_id": direction,
"shape_id": shp.shape_id
})
trips.append(t)
self.dao.add(t)
else:
t = trips[index]
if t.stop_times[-1].arrival_time > schedule_time:
continue
if len(t.stop_times):
t.stop_times[-1].stop_headsign = s.stop_name
t.stop_times.append(
StopTime(self.feed_id, t.trip_id, s.stop_id, stop_index,
schedule_time, schedule_time, 0))
index += 1
def test_transfers(self):
dao = Dao()
f1 = FeedInfo("F1")
s1 = Stop("F1", "S1", "Stop 1", 45.0000, 0.0000)
s2 = Stop("F1", "S2", "Stop 2", 45.0001, 0.0001)
s3 = Stop("F1", "S3", "Stop 3", 45.0002, 0.0002)
t12 = Transfer("F1", "S1", "S2")
t21 = Transfer("F1", "S2", "S1")
t23 = Transfer("F1",
"S2",
"S3",
transfer_type=Transfer.TRANSFER_TIMED,
min_transfer_time=180)
t32 = Transfer("F1",
"S3",
"S2",
transfer_type=Transfer.TRANSFER_TIMED,
min_transfer_time=120)
t13 = Transfer("F1", "S1", "S3", transfer_type=Transfer.TRANSFER_NONE)
a1 = Agency("F1", "A1", "Agency 1", "url1", "Europe/Paris")
a2 = Agency("F1", "A2", "Agency 2", "url2", "Europe/London")
r1 = Route("F1", "R1", "A1", Route.TYPE_BUS)
r2 = Route("F1", "R2", "A2", Route.TYPE_BUS)
c1 = Calendar("F1", "C1")
t1 = Trip("F1", "T1", "R1", "C1")
t2 = Trip("F1", "T2", "R2", "C1")
st1a = StopTime("F1", "T1", "S1", 0, None, 3600, 0.0)
st1b = StopTime("F1", "T1", "S2", 1, 3800, None, 100.0)
st2a = StopTime("F1", "T2", "S1", 0, None, 4600, 0.0)
st2b = StopTime("F1", "T2", "S3", 1, 4800, None, 100.0)
dao.add_all([
f1, s1, s2, s3, t12, t21, t23, t32, t13, a1, a2, r1, r2, c1, t1,
t2, st1a, st1b, st2a, st2b
])
self.assertTrue(len(dao.transfers()) == 5)
timed_transfers = dao.transfers(
fltr=(Transfer.transfer_type == Transfer.TRANSFER_TIMED))
self.assertTrue(len(timed_transfers) == 2)
for transfer in timed_transfers:
self.assertTrue(transfer.transfer_type == Transfer.TRANSFER_TIMED)
s1_from_transfers = dao.transfers(
fltr=(dao.transfer_from_stop().stop_name == "Stop 1"))
self.assertTrue(len(s1_from_transfers) == 2)
for transfer in s1_from_transfers:
self.assertTrue(transfer.from_stop.stop_name == "Stop 1")
s1_fromto_transfers = dao.transfers(
fltr=((dao.transfer_from_stop().stop_name == "Stop 1")
| (dao.transfer_to_stop().stop_name == "Stop 1")))
self.assertTrue(len(s1_fromto_transfers) == 3)
for transfer in s1_fromto_transfers:
self.assertTrue(transfer.from_stop.stop_name == "Stop 1"
or transfer.to_stop.stop_name == "Stop 1")
s1 = dao.stop("S1", feed_id="F1")
self.assertTrue(len(s1.from_transfers) == 2)
self.assertTrue(len(s1.to_transfers) == 1)
for transfer in s1.from_transfers:
if transfer.to_stop.stop_id == "S2":
self.assertTrue(
transfer.transfer_type == Transfer.TRANSFER_DEFAULT)
elif transfer.to_stop.stop_id == "S3":
self.assertTrue(
transfer.transfer_type == Transfer.TRANSFER_NONE)
a1_stops = list(dao.stops(fltr=(Agency.agency_id == 'A1')))
self.assertTrue(len(a1_stops) == 2)
self.assertTrue(s1 in a1_stops)
self.assertTrue(s2 in a1_stops)
def test_trip(self):
dao = Dao()
f1 = FeedInfo("F1")
a1 = Agency("F1",
"A1",
"Agency 1",
agency_url="http://www.agency.fr/",
agency_timezone="Europe/Paris")
r1 = Route("F1",
"R1",
"A1",
3,
route_short_name="R1",
route_long_name="Route 1")
c1 = Calendar("F1", "C1")
c1.dates = [
d for d in CalendarDate.range(
CalendarDate.ymd(2016, 1, 1),
CalendarDate.ymd(2016, 1, 31).next_day())
]
s1 = Stop("F1", "S1", "Stop 1", 45.0, 0.0)
s2 = Stop("F1", "S2", "Stop 2", 45.1, 0.1)
s3 = Stop("F1", "S3", "Stop 3", 45.2, 0.2)
t1 = Trip("F1", "T1", "R1", "C1")
t1.direction_id = 0
t11 = StopTime("F1", "T1", "S1", 0, 28800, 28800, 0.0)
t12 = StopTime("F1", "T1", "S2", 1, 29400, 29400, 0.0)
t13 = StopTime("F1", "T1", "S3", 2, 30000, 30000, 0.0)
t2 = Trip("F1", "T2", "R1", "C1")
t2.direction_id = 1
# Order is not important for now
t2.stop_times.append(StopTime(None, None, "S1", 1, 31000, 31000, 0.0))
t2.stop_times.append(StopTime(None, None, "S2", 0, 30600, 30600, 0.0))
dao.add_all([f1, a1, r1, c1, s1, s2, s3, t1, t11, t12, t13, t2])
# Commit is needed to re-order stop times of T2
dao.commit()
cal = dao.calendar("C1", feed_id="F1")
for trip in cal.trips:
self.assertTrue(trip.calendar.service_id == "C1")
for stoptime in trip.stop_times:
self.assertTrue(stoptime.trip.calendar.service_id == "C1")
stop = dao.stop("S2", feed_id="F1")
for stoptime in stop.stop_times:
self.assertTrue(stoptime.stop.stop_id == "S2")
self.assertTrue(stoptime.trip.trip_id.startswith("T"))
trip = dao.trip("T1", feed_id="F1")
self.assertTrue(len(trip.stop_times) == 3)
trip = dao.trip("T2", feed_id="F1")
self.assertTrue(len(trip.stop_times) == 2)
for trip in dao.trips(prefetch_stop_times=True):
last_stop_seq = -1
for stoptime in trip.stop_times:
self.assertTrue(stoptime.stop_sequence > last_stop_seq)
last_stop_seq = stoptime.stop_sequence
for trip in dao.trips():
for stoptime1, stoptime2 in trip.hops():
self.assertTrue(stoptime1.trip == stoptime2.trip)
self.assertTrue(stoptime1.stop_sequence +
1 == stoptime2.stop_sequence)
trips = list(dao.trips(fltr=Trip.direction_id == 0))
self.assertTrue(len(trips) == 1)
trips = list(dao.trips(fltr=Trip.direction_id == 1))
self.assertTrue(len(trips) == 1)
def _convert_gtfs_model(feed_id,
gtfs,
dao,
lenient=False,
disable_normalization=False):
feedinfo2 = None
logger.info("Importing feed ID '%s'" % feed_id)
n_feedinfo = 0
for feedinfo in gtfs.feedinfo():
n_feedinfo += 1
if n_feedinfo > 1:
logger.error(
"Feed info should be unique if defined. Taking first one." %
(n_feedinfo))
break
# TODO Automatically compute from calendar range if missing?
feedinfo['feed_start_date'] = _todate(feedinfo.get('feed_start_date'))
feedinfo['feed_end_date'] = _todate(feedinfo.get('feed_end_date'))
feedinfo2 = FeedInfo(feed_id, **feedinfo)
if feedinfo2 is None:
# Optional, generate empty feed info
feedinfo2 = FeedInfo(feed_id)
dao.add(feedinfo2)
dao.flush()
logger.info("Imported %d feedinfo" % n_feedinfo)
logger.info("Importing agencies...")
n_agencies = 0
single_agency = None
agency_ids = set()
for agency in gtfs.agencies():
# agency_id is optional only if we have a single agency
if n_agencies == 0 and agency.get('agency_id') is None:
agency['agency_id'] = ''
agency2 = Agency(feed_id, **agency)
if n_agencies == 0:
single_agency = agency2
else:
single_agency = None
n_agencies += 1
dao.add(agency2)
agency_ids.add(agency2.agency_id)
dao.flush()
logger.info("Imported %d agencies" % n_agencies)
def import_stop(stop, stoptype, zone_ids, item_ids, station_ids=None):
zone_id = stop.get('zone_id')
if zone_id and zone_id not in zone_ids:
# Lazy-creation of zone
zone = Zone(feed_id, zone_id)
zone_ids.add(zone_id)
dao.add(zone)
stop['location_type'] = _toint(stop.get('location_type'),
Stop.TYPE_STOP)
if stop['location_type'] != stoptype:
return 0
stop['wheelchair_boarding'] = _toint(stop.get('wheelchair_boarding'),
Stop.WHEELCHAIR_UNKNOWN)
lat = _tofloat(stop.get('stop_lat'), None)
lon = _tofloat(stop.get('stop_lon'), None)
if lat is None or lon is None:
if lenient:
logger.error("Missing lat/lon for '%s', set to default (0,0)" %
(stop, ))
if lat is None:
lat = 0
if lon is None:
lon = 0
else:
raise ValueError("Missing mandatory lat/lon for '%s'." %
(stop, ))
stop['stop_lat'] = lat
stop['stop_lon'] = lon
# This field has been renamed for consistency
parent_id = stop.get('parent_station')
stop['parent_station_id'] = parent_id if parent_id else None
if parent_id and station_ids and parent_id not in station_ids:
if lenient:
logger.error(
"Parent station ID '%s' in '%s' is invalid, resetting." %
(parent_id, stop))
stop['parent_station_id'] = None
else:
raise KeyError("Parent station ID '%s' in '%s' is invalid." %
(parent_id, stop))
stop.pop('parent_station', None)
stop2 = Stop(feed_id, **stop)
dao.add(stop2)
item_ids.add(stop2.stop_id)
return 1
stop_ids = set()
station_ids = set()
zone_ids = set()
logger.info("Importing zones, stations and stops...")
n_stations = n_stops = 0
for station in gtfs.stops():
n_stations += import_stop(station, Stop.TYPE_STATION, zone_ids,
station_ids)
for stop in gtfs.stops():
n_stops += import_stop(stop, Stop.TYPE_STOP, zone_ids, stop_ids,
station_ids)
dao.flush()
logger.info("Imported %d zones, %d stations and %d stops" %
(len(zone_ids), n_stations, n_stops))
logger.info("Importing transfers...")
n_transfers = 0
for transfer in gtfs.transfers():
from_stop_id = transfer.get('from_stop_id')
to_stop_id = transfer.get('to_stop_id')
transfer['transfer_type'] = _toint(transfer.get('transfer_type'), 0)
for stop_id in (from_stop_id, to_stop_id):
if stop_id not in station_ids and stop_id not in stop_ids:
if lenient:
logger.error("Stop ID '%s' in '%s' is invalid, skipping." %
(stop_id, transfer))
continue
else:
raise KeyError("Stop ID '%s' in '%s' is invalid." %
(stop_id, transfer))
transfer2 = Transfer(feed_id, **transfer)
n_transfers += 1
dao.add(transfer2)
dao.flush()
logger.info("Imported %d transfers" % (n_transfers))
logger.info("Importing routes...")
n_routes = 0
route_ids = set()
for route in gtfs.routes():
route['route_type'] = int(route.get('route_type'))
agency_id = route.get('agency_id')
if (agency_id is None
or len(agency_id) == 0) and single_agency is not None:
# Route.agency is optional if only a single agency exists.
agency_id = route['agency_id'] = single_agency.agency_id
if agency_id not in agency_ids:
if lenient:
logger.error(
"Agency ID '%s' in '%s' is invalid, skipping route." %
(agency_id, route))
continue
else:
raise KeyError("agency ID '%s' in '%s' is invalid." %
(agency_id, route))
route2 = Route(feed_id, **route)
dao.add(route2)
route_ids.add(route2.route_id)
n_routes += 1
dao.flush()
logger.info("Imported %d routes" % n_routes)
logger.info("Importing fares...")
n_fares = 0
for fare_attr in gtfs.fare_attributes():
fare_id = fare_attr.get('fare_id')
fare_price = _tofloat(fare_attr.get('price'))
currency_type = fare_attr.get('currency_type')
payment_method = _toint(fare_attr.get('payment_method'))
n_transfers = None
if fare_attr.get('transfers') is not None:
n_transfers = _toint(fare_attr.get('transfers'))
transfer_duration = None
if fare_attr.get('transfer_duration') is not None:
transfer_duration = _toint(fare_attr.get('transfer_duration'))
fare = FareAttribute(feed_id, fare_id, fare_price, currency_type,
payment_method, n_transfers, transfer_duration)
dao.add(fare)
n_fares += 1
dao.flush()
fare_rules = set()
for fare_rule in gtfs.fare_rules():
fare_rule2 = FareRule(feed_id, **fare_rule)
if fare_rule2 in fare_rules:
if lenient:
logger.error("Duplicated fare rule (%s), skipping." %
(fare_rule2))
continue
else:
raise KeyError("Duplicated fare rule (%s)" % (fare_rule2))
dao.add(fare_rule2)
fare_rules.add(fare_rule2)
dao.flush()
logger.info("Imported %d fare and %d rules" % (n_fares, len(fare_rules)))
logger.info("Importing calendars...")
calanddates2 = {}
for calendar in gtfs.calendars():
calid = calendar.get('service_id')
calendar2 = Calendar(feed_id, calid)
dates2 = []
start_date = CalendarDate.fromYYYYMMDD(calendar.get('start_date'))
end_date = CalendarDate.fromYYYYMMDD(calendar.get('end_date'))
for d in CalendarDate.range(start_date, end_date.next_day()):
if int(calendar.get(DOW_NAMES[d.dow()])):
dates2.append(d)
calanddates2[calid] = (calendar2, set(dates2))
logger.info("Normalizing calendar dates...")
for caldate in gtfs.calendar_dates():
calid = caldate.get('service_id')
date2 = CalendarDate.fromYYYYMMDD(caldate.get('date'))
addremove = int(caldate.get('exception_type'))
if calid in calanddates2:
calendar2, dates2 = calanddates2[calid]
else:
calendar2 = Calendar(feed_id, calid)
dates2 = set([])
calanddates2[calid] = (calendar2, dates2)
if addremove == 1:
dates2.add(date2)
elif addremove == 2:
if date2 in dates2:
dates2.remove(date2)
n_calendars = 0
n_caldates = 0
calendar_ids = set()
for (calendar2, dates2) in calanddates2.values():
calendar2.dates = [d for d in dates2]
dao.add(calendar2)
calendar_ids.add(calendar2.service_id)
n_calendars += 1
n_caldates += len(calendar2.dates)
dao.flush()
logger.info("Imported %d calendars and %d dates" %
(n_calendars, n_caldates))
logger.info("Importing shapes...")
n_shape_pts = 0
shape_ids = set()
shapepts_q = []
for shpt in gtfs.shapes():
shape_id = shpt.get('shape_id')
if shape_id not in shape_ids:
dao.add(Shape(feed_id, shape_id))
dao.flush()
shape_ids.add(shape_id)
pt_seq = _toint(shpt.get('shape_pt_sequence'))
# This field is optional
dist_traveled = _tofloat(shpt.get('shape_dist_traveled'), -999999)
lat = _tofloat(shpt.get('shape_pt_lat'))
lon = _tofloat(shpt.get('shape_pt_lon'))
shape_point = ShapePoint(feed_id, shape_id, pt_seq, lat, lon,
dist_traveled)
shapepts_q.append(shape_point)
n_shape_pts += 1
if n_shape_pts % 100000 == 0:
logger.info("%d shape points" % n_shape_pts)
dao.bulk_save_objects(shapepts_q)
dao.flush()
shapepts_q = []
dao.bulk_save_objects(shapepts_q)
dao.flush()
logger.info("Imported %d shapes and %d points" %
(len(shape_ids), n_shape_pts))
logger.info("Importing trips...")
n_trips = 0
trips_q = []
trip_ids = set()
for trip in gtfs.trips():
trip['wheelchair_accessible'] = _toint(
trip.get('wheelchair_accessible'), Trip.WHEELCHAIR_UNKNOWN)
trip['bikes_allowed'] = _toint(trip.get('bikes_allowed'),
Trip.BIKES_UNKNOWN)
cal_id = trip.get('service_id')
if cal_id not in calendar_ids:
if lenient:
logger.error(
"Calendar ID '%s' in '%s' is invalid. Skipping trip." %
(cal_id, trip))
continue
else:
raise KeyError("Calendar ID '%s' in '%s' is invalid." %
(cal_id, trip))
route_id = trip.get('route_id')
if route_id not in route_ids:
if lenient:
logger.error(
"Route ID '%s' in '%s' is invalid. Skipping trip." %
(route_id, trip))
continue
else:
raise KeyError("Route ID '%s' in trip '%s' is invalid." %
(route_id, trip))
trip2 = Trip(feed_id, frequency_generated=False, **trip)
trips_q.append(trip2)
n_trips += 1
if n_trips % 10000 == 0:
dao.bulk_save_objects(trips_q)
dao.flush()
logger.info('%s trips' % n_trips)
trips_q = []
trip_ids.add(trip.get('trip_id'))
dao.bulk_save_objects(trips_q)
dao.flush()
logger.info("Imported %d trips" % n_trips)
logger.info("Importing stop times...")
n_stoptimes = 0
stoptimes_q = []
for stoptime in gtfs.stop_times():
stopseq = _toint(stoptime.get('stop_sequence'))
# Mark times to interpolate later on
arrtime = _timetoint(stoptime.get('arrival_time'), -999999)
deptime = _timetoint(stoptime.get('departure_time'), -999999)
if arrtime == -999999:
arrtime = deptime
if deptime == -999999:
deptime = arrtime
interp = arrtime < 0 and deptime < 0
shpdist = _tofloat(stoptime.get('shape_dist_traveled'), -999999)
pkptype = _toint(stoptime.get('pickup_type'),
StopTime.PICKUP_DROPOFF_REGULAR)
drptype = _toint(stoptime.get('drop_off_type'),
StopTime.PICKUP_DROPOFF_REGULAR)
trip_id = stoptime.get('trip_id')
if trip_id not in trip_ids:
if lenient:
logger.error(
"Trip ID '%s' in '%s' is invalid. Skipping stop time." %
(trip_id, stoptime))
continue
else:
raise KeyError("Trip ID '%s' in '%s' is invalid." %
(trip_id, stoptime))
stop_id = stoptime.get('stop_id')
if stop_id not in stop_ids:
if lenient:
logger.error(
"Stop ID '%s' in '%s' is invalid. Skipping stop time." %
(stop_id, stoptime))
continue
else:
raise KeyError("Trip ID '%s' in stoptime '%s' is invalid." %
(stop_id, stoptime))
stoptime2 = StopTime(feed_id,
trip_id,
stop_id,
stop_sequence=stopseq,
arrival_time=arrtime,
departure_time=deptime,
shape_dist_traveled=shpdist,
interpolated=interp,
pickup_type=pkptype,
drop_off_type=drptype,
stop_headsign=stoptime.get('stop_headsign'))
stoptimes_q.append(stoptime2)
n_stoptimes += 1
# Commit every now and then
if n_stoptimes % 50000 == 0:
logger.info("%d stop times" % n_stoptimes)
dao.bulk_save_objects(stoptimes_q)
dao.flush()
stoptimes_q = []
dao.bulk_save_objects(stoptimes_q)
logger.info("Imported %d stop times" % n_stoptimes)
logger.info("Committing")
dao.flush()
# TODO Add option to enable/disable this commit
# to ensure import is transactionnal
dao.commit()
logger.info("Commit done")
def normalize_trip(trip, odometer):
stopseq = 0
n_stoptimes = len(trip.stop_times)
last_stoptime_with_time = None
to_interpolate = []
odometer.reset()
for stoptime in trip.stop_times:
stoptime.stop_sequence = stopseq
stoptime.shape_dist_traveled = odometer.dist_traveled(
stoptime.stop, stoptime.shape_dist_traveled
if stoptime.shape_dist_traveled != -999999 else None)
if stopseq == 0:
# Force first arrival time to NULL
stoptime.arrival_time = None
if stopseq == n_stoptimes - 1:
# Force last departure time to NULL
stoptime.departure_time = None
if stoptime.interpolated:
to_interpolate.append(stoptime)
else:
if len(to_interpolate) > 0:
# Interpolate
if last_stoptime_with_time is None:
logger.error(
"Cannot interpolate missing time at trip start: %s"
% trip)
for stti in to_interpolate:
# Use first defined time as fallback value.
stti.arrival_time = stoptime.arrival_time
stti.departure_time = stoptime.arrival_time
else:
tdist = stoptime.shape_dist_traveled - last_stoptime_with_time.shape_dist_traveled
ttime = stoptime.arrival_time - last_stoptime_with_time.departure_time
for stti in to_interpolate:
fdist = stti.shape_dist_traveled - last_stoptime_with_time.shape_dist_traveled
t = last_stoptime_with_time.departure_time + ttime * fdist // tdist
stti.arrival_time = t
stti.departure_time = t
to_interpolate = []
last_stoptime_with_time = stoptime
stopseq += 1
if len(to_interpolate) > 0:
# Should not happen, but handle the case, we never know
if last_stoptime_with_time is None:
logger.error(
"Cannot interpolate missing time, no time at all: %s" %
trip)
# Keep times NULL (TODO: or remove the trip?)
else:
logger.error(
"Cannot interpolate missing time at trip end: %s" % trip)
for stti in to_interpolate:
# Use last defined time as fallback value
stti.arrival_time = last_stoptime_with_time.departure_time
stti.departure_time = last_stoptime_with_time.departure_time
if disable_normalization:
logger.info("Skipping shapes and trips normalization")
else:
logger.info("Normalizing shapes and trips...")
nshapes = 0
ntrips = 0
odometer = _Odometer()
# Process shapes and associated trips
for shape in dao.shapes(fltr=Shape.feed_id == feed_id,
prefetch_points=True,
batch_size=50):
# Shape will be registered in the normalize
odometer.normalize_and_register_shape(shape)
for trip in dao.trips(fltr=(Trip.feed_id == feed_id) &
(Trip.shape_id == shape.shape_id),
prefetch_stop_times=True,
prefetch_stops=True,
batch_size=800):
normalize_trip(trip, odometer)
ntrips += 1
if ntrips % 1000 == 0:
logger.info("%d trips, %d shapes" % (ntrips, nshapes))
dao.flush()
nshapes += 1
# odometer._debug_cache()
# Process trips w/o shapes
for trip in dao.trips(fltr=(Trip.feed_id == feed_id) &
(Trip.shape_id == None),
prefetch_stop_times=True,
prefetch_stops=True,
batch_size=800):
odometer.register_noshape()
normalize_trip(trip, odometer)
ntrips += 1
if ntrips % 1000 == 0:
logger.info("%d trips" % ntrips)
dao.flush()
dao.flush()
logger.info("Normalized %d trips and %d shapes" % (ntrips, nshapes))
# Note: we expand frequencies *after* normalization
# for performances purpose only: that minimize the
# number of trips to normalize. We can do that since
# the expansion is neutral trip-normalization-wise.
logger.info("Expanding frequencies...")
n_freq = 0
n_exp_trips = 0
trips_to_delete = []
for frequency in gtfs.frequencies():
trip_id = frequency.get('trip_id')
if trip_id not in trip_ids:
if lenient:
logger.error(
"Trip ID '%s' in '%s' is invalid. Skipping frequency." %
(trip_id, frequency))
continue
else:
raise KeyError("Trip ID '%s' in '%s' is invalid." %
(trip_id, frequency))
trip = dao.trip(trip_id, feed_id=feed_id)
start_time = _timetoint(frequency.get('start_time'))
end_time = _timetoint(frequency.get('end_time'))
headway_secs = _toint(frequency.get('headway_secs'))
exact_times = _toint(frequency.get('exact_times'), Trip.TIME_APPROX)
for trip_dep_time in range(start_time, end_time, headway_secs):
# Here we assume departure time are all different.
# That's a requirement in the GTFS specs, but this may break.
# TODO Make the expanded trip ID generation parametrable.
trip_id2 = trip.trip_id + "@" + fmttime(trip_dep_time)
trip2 = Trip(feed_id,
trip_id2,
trip.route_id,
trip.service_id,
wheelchair_accessible=trip.wheelchair_accessible,
bikes_allowed=trip.bikes_allowed,
exact_times=exact_times,
frequency_generated=True,
trip_headsign=trip.trip_headsign,
trip_short_name=trip.trip_short_name,
direction_id=trip.direction_id,
block_id=trip.block_id)
trip2.stop_times = []
base_time = trip.stop_times[0].departure_time
for stoptime in trip.stop_times:
arrtime = None if stoptime.arrival_time is None else stoptime.arrival_time - base_time + trip_dep_time
deptime = None if stoptime.departure_time is None else stoptime.departure_time - base_time + trip_dep_time
stoptime2 = StopTime(
feed_id,
trip_id2,
stoptime.stop_id,
stoptime.stop_sequence,
arrival_time=arrtime,
departure_time=deptime,
shape_dist_traveled=stoptime.shape_dist_traveled,
interpolated=stoptime.interpolated,
timepoint=stoptime.timepoint,
pickup_type=stoptime.pickup_type,
drop_off_type=stoptime.drop_off_type)
trip2.stop_times.append(stoptime2)
n_exp_trips += 1
# This will add the associated stop times
dao.add(trip2)
# Do not delete trip now, as two frequency can refer to same trip
trips_to_delete.append(trip)
n_freq += 1
for trip in trips_to_delete:
# This also delete the associated stop times
dao.delete(trip)
dao.flush()
dao.commit()
logger.info("Expanded %d frequencies to %d trips." % (n_freq, n_exp_trips))
logger.info("Feed '%s': import done." % feed_id)