Esempio n. 1
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    def test_broken(self):
        exception = False
        try:
            clear_mappers()
            dao = Dao("")
            dao.load_gtfs(BROKEN_GTFS, lenient=False)
        except KeyError:
            exception = True
        self.assertTrue(exception)

        clear_mappers()
        dao = Dao("")
        dao.load_gtfs(BROKEN_GTFS, lenient=True)

        # The following are based on BROKEN GTFS content,
        # that is the entities count minus broken ones.
        self.assertTrue(len(dao.routes()) == 4)
        self.assertTrue(len(list(dao.stops())) == 12)
        self.assertTrue(len(dao.calendars()) == 2)
        self.assertTrue(len(list(dao.trips())) == 104)
        self.assertTrue(len(dao.stoptimes()) == 500)
        self.assertTrue(len(dao.fare_attributes()) == 2)
        self.assertTrue(len(dao.fare_rules()) == 4)
        # This stop has missing coordinates in the broken file
        stop00 = dao.stop('FUR_CREEK_RES3')
        self.assertAlmostEqual(stop00.stop_lat, 0.0, 5)
        self.assertAlmostEqual(stop00.stop_lon, 0.0, 5)
Esempio n. 2
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    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))
Esempio n. 3
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    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)))