def test_custom_queries(self):
dao = Dao(DAO_URL, sql_logging=SQL_LOG)
dao.load_gtfs(DUMMY_GTFS)
# A simple custom query: count the number of stops per type (stop/station)
# SQL equivalent: SELECT stop.location_type, count(stop.location_type) FROM stop GROUP BY stop.location_type
for type, stop_count in dao.session \
.query(Stop.location_type, func.count(Stop.location_type)) \
.group_by(Stop.location_type) \
.all():
# print("type %d : %d stops" % (type, stop_count))
if type == Stop.TYPE_STATION:
self.assertTrue(stop_count == 3)
if type == Stop.TYPE_STOP:
self.assertTrue(15 < stop_count < 30)
# A more complex custom query: count the number of trips per calendar date per route on june/july
from_date = CalendarDate.ymd(2016, 6, 1)
to_date = CalendarDate.ymd(2016, 7, 31)
for date, route, trip_count in dao.session \
.query(CalendarDate.date, Route, func.count(Trip.trip_id)) \
.select_from(Calendar).join(Trip).join(Route) \
.filter((func.date(CalendarDate.date) >= from_date.date) & (func.date(CalendarDate.date) <= to_date.date)) \
.group_by(CalendarDate.date, Route.route_short_name) \
.all():
# print("%s / %20s : %d trips" % (date, route.route_short_name + " " + route.route_long_name, trip_count))
self.assertTrue(date >= from_date.as_date())
self.assertTrue(date <= to_date.as_date())
self.assertTrue(trip_count > 0)
def test_entities_creation(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")
r2 = Route("F1", "R2", "A1", 3, route_short_name="R2")
c1 = Calendar("F1", "C1")
c1.dates = [
CalendarDate.ymd(2015, 11, 13),
CalendarDate.ymd(2015, 11, 14)
]
dao.add_all([f1, a1, r1, r2, c1])
self.assertTrue(len(dao.feeds()) == 1)
self.assertTrue(len(dao.agencies()) == 1)
a1b = dao.agency("A1", feed_id="F1", prefetch_routes=True)
self.assertTrue(a1b.agency_name == "Agency 1")
self.assertTrue(len(a1b.routes) == 2)
r1b = dao.route("R1", feed_id="F1")
self.assertTrue(r1b.route_short_name == "R1")
self.assertTrue(r1b.route_long_name == "Route 1")
self.assertTrue(r1b.route_type == 3)
r42 = dao.route("R42", feed_id="F1")
self.assertTrue(r42 is None)
def __load_services(self):
self.service_ids = set()
today = datetime.datetime.today()
start_date = CalendarDate.fromYYYYMMDD(today.strftime('%Y%m%d'))
end_date = CalendarDate.fromYYYYMMDD(datetime.date(today.year, 12, 31).strftime('%Y%m%d'))
def save_calendar_for(service_id: str, dow: []):
self.service_ids.add(service_id)
service = Calendar(self.feed_id, service_id)
dates = []
for d in CalendarDate.range(start_date, end_date.next_day()):
if dow[d.dow()] == 1:
d.service_id = service.service_id
d.feed_id = self.feed_id
# add to list to be saved
dates.append(d)
self.dao.add(service)
self.dao.bulk_save_objects(dates)
save_calendar_for("lv", [1, 1, 1, 1, 1, 0, 0])
save_calendar_for("s", [0, 0, 0, 0, 0, 1, 0])
save_calendar_for("d", [0, 0, 0, 0, 0, 0, 1])
def test_calendar_date_range(self):
d1 = CalendarDate.ymd(2016, 1, 1)
d2 = CalendarDate.ymd(2016, 2, 1)
n = 0
for d in CalendarDate.range(d1, d2):
self.assertTrue(d >= d1)
self.assertTrue(d < d2)
n += 1
self.assertEqual(n, 31)
def test_calendar_date_set(self):
d1 = CalendarDate.ymd(2015, 12, 31)
d2 = CalendarDate.ymd(2016, 1, 1)
dates = {d1, d2}
self.assertTrue(len(dates) == 2)
d2b = CalendarDate.ymd(2016, 1, 1)
dates.add(d2b)
self.assertTrue(len(dates) == 2)
d1b = CalendarDate.ymd(2015, 12, 31)
d4 = CalendarDate.ymd(2015, 1, 2)
dates.add(d1b)
dates.add(d4)
self.assertTrue(len(dates) == 3)
def make_dow_service(feed_id: str, service_id: str, today, dow: list = []):
dates = []
service = Calendar(feed_id, service_id)
start_date = CalendarDate.fromYYYYMMDD(today.strftime("%Y%m%d"))
end_date = CalendarDate.fromYYYYMMDD(
datetime.date(today.year, 12, 31).strftime("%Y%m%d"))
for d in CalendarDate.range(start_date, end_date.next_day()):
if dow[d.dow()] == 1:
d.feed_id = feed_id
d.service_id = service.service_id
dates.append(d)
return service, dates
def test_calendar_date(self):
self.assertEqual(True, True)
d1 = CalendarDate.ymd(2015, 12, 31)
d2 = CalendarDate.ymd(2016, 1, 1)
self.assertEqual(d1.next_day(), d2)
self.assertTrue(d1 < d2)
self.assertTrue(d1 <= d2)
self.assertFalse(d1 > d2)
self.assertFalse(d1 >= d2)
self.assertFalse(d1 == d2)
dt = datetime.date(2015, 12, 31)
self.assertTrue(d1 == dt)
dates = [CalendarDate.ymd(2016, 1, 1), CalendarDate.ymd(2016, 1, 2)]
self.assertTrue(CalendarDate.ymd(2016, 1, 2) in dates)
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 _load_services(self):
year = datetime.datetime.now().year
start_date = CalendarDate.fromYYYYMMDD(f"{year}0101")
end_date = CalendarDate.fromYYYYMMDD(f"{year}1231")
def save_calendar_for(service_id: str, dow: []):
service = Calendar(self.feed_id, service_id)
self.dao.update(service)
self.dao.flush()
save_calendar_for("LV", [1, 1, 1, 1, 1, 0, 0])
save_calendar_for("SD", [0, 0, 0, 0, 0, 1, 1])
self.service_id = "LV" if datetime.datetime.today().weekday(
) < 5 else "SD"
def test_calendar_date_out_of_range(self):
broke = False
try:
d1 = CalendarDate.ymd(2015, 12, 32) # @UnusedVariable
except (ValueError):
broke = True
self.assertTrue(broke)
def save_calendar_for(service_id: str, dow: []):
self.service_ids.add(service_id)
service = Calendar(self.feed_id, service_id)
dates = []
for d in CalendarDate.range(start_date, end_date.next_day()):
if dow[d.dow()] == 1:
d.service_id = service.service_id
d.feed_id = self.feed_id
# add to list to be saved
dates.append(d)
self.dao.add(service)
self.dao.bulk_save_objects(dates)
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 test_complex_queries(self):
dao = Dao(DAO_URL, sql_logging=SQL_LOG)
dao.load_gtfs(DUMMY_GTFS)
# Get the list of departures:
# 1) from "Porte de Bourgogne"
# 2) on 4th July
# 3) between 10:00 and 14:00
# 4) on route type BUS
# 5) not the last of trip (only departing)
porte_bourgogne = dao.stop("BBG")
july4 = CalendarDate.ymd(2016, 7, 4)
from_time = gtfstime(10, 00)
to_time = gtfstime(14, 00)
departures = dao.stoptimes(
fltr=(StopTime.stop == porte_bourgogne) &
(StopTime.departure_time >= from_time) &
(StopTime.departure_time <= to_time)
& (Route.route_type == Route.TYPE_BUS) &
(func.date(CalendarDate.date) == july4.date),
prefetch_trips=True)
n = 0
for dep in departures:
self.assertTrue(dep.stop == porte_bourgogne)
self.assertTrue(july4 in dep.trip.calendar.dates)
self.assertTrue(dep.trip.route.route_type == Route.TYPE_BUS)
self.assertTrue(dep.departure_time >= from_time
and dep.departure_time <= to_time)
n += 1
self.assertTrue(n > 10)
# Plage is a stop that is used only in summer (hence the name!)
plage = dao.stop("BPG")
# Get the list of stops used by some route:
# 1) All-year round
route_red = dao.route("BR")
stoplist_all = list(dao.stops(fltr=Trip.route == route_red))
# 2) Only in january
from_date = CalendarDate.ymd(2016, 1, 1)
to_date = CalendarDate.ymd(2016, 1, 31)
stoplist_jan = list(
dao.stops(fltr=(Trip.route == route_red)
& (func.date(CalendarDate.date) >= from_date.date)
& (func.date(CalendarDate.date) <= to_date.date)))
# Now, make some tests
self.assertTrue(len(stoplist_all) > 5)
self.assertTrue(plage in stoplist_all)
self.assertFalse(plage in stoplist_jan)
stoplist = list(stoplist_all)
stoplist.remove(plage)
self.assertTrue(set(stoplist) == set(stoplist_jan))
# Get all routes passing by the set of stops
routes = dao.routes(fltr=or_(StopTime.stop == stop
for stop in stoplist_jan))
stopset = set()
for route in routes:
for trip in route.trips:
for stoptime in trip.stop_times:
stopset.add(stoptime.stop)
self.assertTrue(set(stoplist_jan).issubset(stopset))
def test_calendar_date_convert(self):
d1 = CalendarDate.fromYYYYMMDD("20151231")
d2 = CalendarDate.ymd(2015, 12, 31)
self.assertTrue(d1 == d2)
def test_gtfs_data(self):
dao = Dao(DAO_URL, sql_logging=False)
dao.load_gtfs(DUMMY_GTFS)
# Check feed
feed = dao.feed()
self.assertTrue(feed.feed_id == "")
self.assertTrue(feed.feed_publisher_name == "Mecatran")
self.assertTrue(feed.feed_publisher_url == "http://www.mecatran.com/")
self.assertTrue(feed.feed_contact_email == "*****@*****.**")
self.assertTrue(feed.feed_lang == "fr")
self.assertTrue(len(dao.agencies()) == 2)
self.assertTrue(len(dao.routes()) == 3)
self.assertTrue(len(feed.agencies) == 2)
self.assertTrue(len(feed.routes) == 3)
# Check agencies
at = dao.agency("AT")
self.assertTrue(at.agency_name == "Agency Train")
self.assertTrue(len(at.routes) == 1)
ab = dao.agency("AB")
self.assertTrue(ab.agency_name == "Agency Bus")
self.assertTrue(len(ab.routes) == 2)
# Check calendars
week = dao.calendar("WEEK")
self.assertTrue(len(week.dates) == 253)
summer = dao.calendar("SUMMER")
self.assertTrue(len(summer.dates) == 42)
mon = dao.calendar("MONDAY")
self.assertTrue(len(mon.dates) == 49)
sat = dao.calendar("SAT")
self.assertTrue(len(sat.dates) == 53)
for date in mon.dates:
self.assertTrue(date.dow() == 0)
for date in sat.dates:
self.assertTrue(date.dow() == 5)
for date in week.dates:
self.assertTrue(date.dow() >= 0 and date.dow() <= 4)
for date in summer.dates:
self.assertTrue(date >= CalendarDate.ymd(2016, 7, 1)
and date <= CalendarDate.ymd(2016, 8, 31))
empty = dao.calendars(
func.date(CalendarDate.date) == datetime.date(2016, 5, 1))
# OR USE: empty = dao.calendars(CalendarDate.date == "2016-05-01")
self.assertTrue(len(empty) == 0)
july4 = CalendarDate.ymd(2016, 7, 4)
summer_mon = dao.calendars(func.date(CalendarDate.date) == july4.date)
n = 0
for cal in summer_mon:
self.assertTrue(july4 in cal.dates)
n += 1
self.assertTrue(n == 3)
# Check stops
sbq = dao.stop("BQ")
self.assertAlmostEqual(sbq.stop_lat, 44.844, places=2)
self.assertAlmostEqual(sbq.stop_lon, -0.573, places=2)
self.assertTrue(sbq.stop_name == "Bordeaux Quinconces")
n = 0
for stop in dao.stops(Stop.stop_name.like("Gare%")):
self.assertTrue(stop.stop_name.startswith("Gare"))
n += 1
self.assertTrue(n == 7)
n = 0
for stop in dao.stops(
fltr=dao.in_area(RectangularArea(44.7, -0.6, 44.9, -0.4))):
self.assertTrue(stop.stop_lat >= 44.7 and stop.stop_lat <= 44.9
and stop.stop_lon >= -0.6
and stop.stop_lon <= -0.4)
n += 1
self.assertTrue(n == 16)
for station in dao.stops(Stop.location_type == Stop.TYPE_STATION):
self.assertTrue(station.location_type == Stop.TYPE_STATION)
self.assertTrue(len(station.sub_stops) >= 2)
for stop in station.sub_stops:
self.assertTrue(stop.parent_station == station)
# Check zones
z_inexistant = dao.zone("ZX")
self.assertTrue(z_inexistant is None)
z1 = dao.zone("Z1")
self.assertEqual(16, len(z1.stops))
z2 = dao.zone("Z2")
self.assertEqual(4, len(z2.stops))
# Check transfers
transfers = dao.transfers()
self.assertTrue(len(transfers) == 3)
transfers = dao.transfers(
fltr=(dao.transfer_from_stop().stop_id == 'GBSJB'))
self.assertTrue(len(transfers) == 1)
self.assertTrue(transfers[0].from_stop.stop_id == 'GBSJB')
# Check routes
tgv = dao.route("TGVBP")
self.assertTrue(tgv.agency == at)
self.assertTrue(tgv.route_type == 2)
r1 = dao.route("BR")
self.assertTrue(r1.route_short_name == "R1")
self.assertTrue(r1.route_long_name == "Bus Red")
n = 0
for route in dao.routes(Route.route_type == 3):
self.assertTrue(route.route_type == 3)
n += 1
self.assertTrue(n == 2)
# Check trip for route
n = 0
trips = dao.trips(fltr=Route.route_type == Route.TYPE_BUS)
for trip in trips:
self.assertTrue(trip.route.route_type == Route.TYPE_BUS)
n += 1
self.assertTrue(n > 20)
# Check trips on date
trips = dao.trips(fltr=func.date(CalendarDate.date) == july4.date,
prefetch_calendars=True)
n = 0
for trip in trips:
self.assertTrue(july4 in trip.calendar.dates)
n += 1
self.assertTrue(n > 30)
def test_demo(self):
dao = Dao(DAO_URL, sql_logging=False)
dao.load_gtfs(DUMMY_GTFS)
print("List of stops named '...Bordeaux...':")
stops_bordeaux = list(
dao.stops(fltr=(Stop.stop_name.ilike('%Bordeaux%'))
& (Stop.location_type == Stop.TYPE_STOP)))
for stop in stops_bordeaux:
print(stop.stop_name)
print("List of routes passing by those stops:")
routes_bordeaux = dao.routes(fltr=or_(StopTime.stop == stop
for stop in stops_bordeaux))
for route in routes_bordeaux:
print("%s - %s" % (route.route_short_name, route.route_long_name))
july4 = CalendarDate.ymd(2016, 7, 4)
print("All departures from those stops on %s:" % (july4.as_date()))
departures = list(
dao.stoptimes(fltr=(or_(StopTime.stop == stop
for stop in stops_bordeaux))
& (StopTime.departure_time != None)
& (func.date(CalendarDate.date) == july4.date)))
print("There is %d departures" % (len(departures)))
for departure in departures:
print("%30.30s %10.10s %-20.20s > %s" %
(departure.stop.stop_name, fmttime(departure.departure_time),
departure.trip.route.route_long_name,
departure.trip.trip_headsign))
print("Number of departures and time range per stop on %s:" %
(july4.as_date()))
departure_by_stop = defaultdict(list)
for departure in departures:
departure_by_stop[departure.stop].append(departure)
for stop, deps in departure_by_stop.items():
min_dep = min(d.departure_time for d in deps)
max_dep = max(d.departure_time for d in deps)
print("%30.30s %3d departures (from %s to %s)" %
(stop.stop_name, len(deps), fmttime(min_dep),
fmttime(max_dep)))
# Compute the average distance and time to next stop by route type
ntd = [[0, 0, 0.0] for type in range(0, Route.TYPE_FUNICULAR + 1)]
for departure in departures:
# The following is guaranteed to succeed as we have departure_time == Null for last stop time in trip
next_arrival = departure.trip.stop_times[departure.stop_sequence +
1]
hop_dist = next_arrival.shape_dist_traveled - departure.shape_dist_traveled
hop_time = next_arrival.arrival_time - departure.departure_time
route_type = departure.trip.route.route_type
ntd[route_type][0] += 1
ntd[route_type][1] += hop_time
ntd[route_type][2] += hop_dist
for route_type in range(0, len(ntd)):
n, t, d = ntd[route_type]
if n > 0:
print(
"The average distance to the next stop on those departures for route type %d is %.2f meters"
% (route_type, d / n))
print(
"The average time in sec to the next stop on those departures for route type %d is %s"
% (route_type, fmttime(t / n)))
def _todate(s, default_value=None):
if s is None or len(s) == 0:
return default_value
return CalendarDate.fromYYYYMMDD(s).as_date()
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)