trainvel/sncfgtfs/management/commands/update_sncf_gtfs.py

import csv
from datetime import datetime, timedelta
from io import BytesIO
from zipfile import ZipFile

import requests
from django.core.management import BaseCommand

from sncfgtfs.models import Agency, Calendar, CalendarDate, FeedInfo, Route, Stop, StopTime, Transfer, Trip


class Command(BaseCommand):
    help = "Update the SNCF GTFS database."

    GTFS_FEEDS = {
        "TGV": "https://eu.ftp.opendatasoft.com/sncf/gtfs/export_gtfs_voyages.zip",
        "IC": "https://eu.ftp.opendatasoft.com/sncf/gtfs/export-intercites-gtfs-last.zip",
        "TER": "https://eu.ftp.opendatasoft.com/sncf/gtfs/export-ter-gtfs-last.zip",
        "TN": "https://eu.ftp.opendatasoft.com/sncf/gtfs/transilien-gtfs.zip",
        # "ES": "https://www.data.gouv.fr/fr/datasets/r/9089b550-696e-4ae0-87b5-40ea55a14292",
        # "TI": "https://www.data.gouv.fr/fr/datasets/r/4d1dd21a-b061-47ac-9514-57ffcc09b4a5",
        # "RENFE": "https://ssl.renfe.com/gtransit/Fichero_AV_LD/google_transit.zip",
        # "OBB": "https://static.oebb.at/open-data/soll-fahrplan-gtfs/GTFS_OP_2024_obb.zip",
    }

    def add_arguments(self, parser):
        parser.add_argument('--bulk_size', type=int, default=1000, help="Number of objects to create in bulk.")
        parser.add_argument('--dry-run', action='store_true',
                            help="Do not update the database, only print what would be done.")
        parser.add_argument('--force', '-f', action='store_true', help="Force the update of the database.")

    def handle(self, *args, **options):
        bulk_size = options['bulk_size']
        dry_run = options['dry_run']
        force = options['force']
        if dry_run:
            self.stdout.write(self.style.WARNING("Dry run mode activated."))

        if not FeedInfo.objects.exists():
            last_update_date = "1970-01-01"
        else:
            last_update_date = FeedInfo.objects.get(publisher_name='SNCF_default').version

        for url in self.GTFS_FEEDS.values():
            resp = requests.head(url)
            if "Last-Modified" not in resp.headers:
                continue
            last_modified = resp.headers["Last-Modified"]
            last_modified = datetime.strptime(last_modified, "%a, %d %b %Y %H:%M:%S %Z")
            if last_modified.date().isoformat() > last_update_date:
                break
        else:
            if not force:
                self.stdout.write(self.style.WARNING("Database already up-to-date."))
                return

        self.stdout.write("Updating database...")

        for transport_type, feed_url in self.GTFS_FEEDS.items():
            self.stdout.write(f"Downloading {transport_type} GTFS feed...")
            with ZipFile(BytesIO(requests.get(feed_url).content)) as zipfile:
                def read_file(filename):
                    lines = zipfile.read(filename).decode().replace('\ufeff', '').splitlines()
                    return [line.strip() for line in lines]

                agencies = []
                for agency_dict in csv.DictReader(read_file("agency.txt")):
                    agency_dict: dict
                    if transport_type == "ES" \
                            and agency_dict['agency_id'] != 'ES' and agency_dict['agency_id'] != 'ER':
                        continue
                    agency = Agency(
                        id=agency_dict['agency_id'],
                        name=agency_dict['agency_name'],
                        url=agency_dict['agency_url'],
                        timezone=agency_dict['agency_timezone'],
                        lang=agency_dict.get('agency_lang', "fr"),
                        phone=agency_dict.get('agency_phone', ""),
                        email=agency_dict.get('agency_email', ""),
                    )
                    agencies.append(agency)
                if agencies and not dry_run:
                    Agency.objects.bulk_create(agencies,
                                               update_conflicts=True,
                                               update_fields=['name', 'url', 'timezone', 'lang', 'phone', 'email'],
                                               unique_fields=['id'])
                    agencies.clear()

                stops = []
                for stop_dict in csv.DictReader(read_file("stops.txt")):
                    stop_dict: dict
                    stop_id = stop_dict['stop_id']
                    if transport_type in ["ES", "TI", "RENFE"]:
                        stop_id = f"{transport_type}-{stop_id}"

                    stop = Stop(
                        id=stop_id,
                        name=stop_dict['stop_name'],
                        desc=stop_dict.get('stop_desc', ""),
                        lat=stop_dict['stop_lat'],
                        lon=stop_dict['stop_lon'],
                        zone_id=stop_dict.get('zone_id', ""),
                        url=stop_dict.get('stop_url', ""),
                        location_type=stop_dict.get('location_type', 1) or 1,
                        parent_station_id=stop_dict.get('parent_station', None) or None,
                        timezone=stop_dict.get('stop_timezone', ""),
                        wheelchair_boarding=stop_dict.get('wheelchair_boarding', 0),
                        level_id=stop_dict.get('level_id', ""),
                        platform_code=stop_dict.get('platform_code', ""),
                        transport_type=transport_type,
                    )
                    stops.append(stop)

                if stops and not dry_run:
                    Stop.objects.bulk_create(stops,
                                             batch_size=bulk_size,
                                             update_conflicts=True,
                                             update_fields=['name', 'desc', 'lat', 'lon', 'zone_id', 'url',
                                                            'location_type', 'parent_station_id', 'timezone',
                                                            'wheelchair_boarding', 'level_id', 'platform_code',
                                                            'transport_type'],
                                             unique_fields=['id'])
                    stops.clear()

                routes = []
                for route_dict in csv.DictReader(read_file("routes.txt")):
                    route_dict: dict
                    route_id = route_dict['route_id']
                    if transport_type == "TI":
                        route_id = f"{transport_type}-{route_id}"
                    route = Route(
                        id=route_id,
                        agency_id=route_dict['agency_id'],
                        short_name=route_dict['route_short_name'],
                        long_name=route_dict['route_long_name'],
                        desc=route_dict.get('route_desc', ""),
                        type=route_dict['route_type'],
                        url=route_dict.get('route_url', ""),
                        color=route_dict.get('route_color', ""),
                        text_color=route_dict.get('route_text_color', ""),
                        transport_type=transport_type,
                    )
                    routes.append(route)

                    if len(routes) >= bulk_size and not dry_run:
                        Route.objects.bulk_create(routes,
                                                  update_conflicts=True,
                                                  update_fields=['agency_id', 'short_name', 'long_name', 'desc',
                                                                 'type', 'url', 'color', 'text_color',
                                                                 'transport_type'],
                                                  unique_fields=['id'])
                        routes.clear()
                if routes and not dry_run:
                    Route.objects.bulk_create(routes,
                                              update_conflicts=True,
                                              update_fields=['agency_id', 'short_name', 'long_name', 'desc',
                                                             'type', 'url', 'color', 'text_color',
                                                             'transport_type'],
                                              unique_fields=['id'])
                    routes.clear()

                Calendar.objects.filter(transport_type=transport_type).delete()
                calendars = {}
                if "calendar.txt" in zipfile.namelist():
                    for calendar_dict in csv.DictReader(read_file("calendar.txt")):
                        calendar_dict: dict
                        calendar = Calendar(
                            id=f"{transport_type}-{calendar_dict['service_id']}",
                            monday=calendar_dict['monday'],
                            tuesday=calendar_dict['tuesday'],
                            wednesday=calendar_dict['wednesday'],
                            thursday=calendar_dict['thursday'],
                            friday=calendar_dict['friday'],
                            saturday=calendar_dict['saturday'],
                            sunday=calendar_dict['sunday'],
                            start_date=calendar_dict['start_date'],
                            end_date=calendar_dict['end_date'],
                            transport_type=transport_type,
                        )
                        calendars.append(calendar)
                        calendar_ids.append(calendar.id)

                        if len(calendars) >= bulk_size and not dry_run:
                            Calendar.objects.bulk_create(calendars,
                                                         update_conflicts=True,
                                                         update_fields=['monday', 'tuesday', 'wednesday', 'thursday',
                                                                        'friday', 'saturday', 'sunday', 'start_date',
                                                                        'end_date', 'transport_type'],
                                                         unique_fields=['id'])
                            calendars.clear()
                    if calendars and not dry_run:
                        Calendar.objects.bulk_create(calendars, update_conflicts=True,
                                                     update_fields=['monday', 'tuesday', 'wednesday', 'thursday',
                                                                    'friday', 'saturday', 'sunday', 'start_date',
                                                                    'end_date', 'transport_type'],
                                                     unique_fields=['id'])
                        calendars.clear()

                calendar_dates = []
                for calendar_date_dict in csv.DictReader(read_file("calendar_dates.txt")):
                    calendar_date_dict: dict
                    calendar_date = CalendarDate(
                        id=f"{transport_type}-{calendar_date_dict['service_id']}-{calendar_date_dict['date']}",
                        service_id=f"{transport_type}-{calendar_date_dict['service_id']}",
                        date=calendar_date_dict['date'],
                        exception_type=calendar_date_dict['exception_type'],
                    )
                    calendar_dates.append(calendar_date)

                    if calendar_date.service_id not in calendars:
                        calendar = Calendar(
                            id=f"{transport_type}-{calendar_date_dict['service_id']}",
                            monday=False,
                            tuesday=False,
                            wednesday=False,
                            thursday=False,
                            friday=False,
                            saturday=False,
                            sunday=False,
                            start_date=calendar_date_dict['date'],
                            end_date=calendar_date_dict['date'],
                            transport_type=transport_type,
                        )
                        calendars[calendar.id] = calendar
                    else:
                        calendar = calendars[f"{transport_type}-{calendar_date_dict['service_id']}"]
                        if calendar.start_date > calendar_date.date:
                            calendar.start_date = calendar_date.date
                        if calendar.end_date < calendar_date.date:
                            calendar.end_date = calendar_date.date

                if calendar_dates and not dry_run:
                    Calendar.objects.bulk_create(calendars.values(),
                                                 batch_size=bulk_size,
                                                 update_conflicts=True,
                                                 update_fields=['start_date', 'end_date'],
                                                 unique_fields=['id'])
                    CalendarDate.objects.bulk_create(calendar_dates,
                                                     batch_size=bulk_size,
                                                     update_conflicts=True,
                                                     update_fields=['service_id', 'date', 'exception_type'],
                                                     unique_fields=['id'])
                    calendars.clear()
                    calendar_dates.clear()

                trips = []
                for trip_dict in csv.DictReader(read_file("trips.txt")):
                    trip_dict: dict
                    trip_id = trip_dict['trip_id']
                    route_id = trip_dict['route_id']
                    if transport_type in ["TGV", "IC", "TER"]:
                        trip_id, last_update = trip_id.split(':', 1)
                        last_update = datetime.fromisoformat(last_update)
                    elif transport_type in ["ES", "RENFE"]:
                        trip_id = f"{transport_type}-{trip_id}"
                        last_update = None
                    elif transport_type == "TI":
                        trip_id = f"{transport_type}-{trip_id}"
                        route_id = f"{transport_type}-{route_id}"
                        last_update = None
                    else:
                        last_update = None
                    trip = Trip(
                        id=trip_id,
                        route_id=route_id,
                        service_id=f"{transport_type}-{trip_dict['service_id']}",
                        headsign=trip_dict.get('trip_headsign', ""),
                        short_name=trip_dict.get('trip_short_name', ""),
                        direction_id=trip_dict.get('direction_id', None) or None,
                        block_id=trip_dict.get('block_id', ""),
                        shape_id=trip_dict.get('shape_id', ""),
                        wheelchair_accessible=trip_dict.get('wheelchair_accessible', None),
                        bikes_allowed=trip_dict.get('bikes_allowed', None),
                        last_update=last_update,
                    )
                    trips.append(trip)

                    if len(trips) >= bulk_size and not dry_run:
                        Trip.objects.bulk_create(trips,
                                                 update_conflicts=True,
                                                 update_fields=['route_id', 'service_id', 'headsign', 'short_name',
                                                                'direction_id', 'block_id', 'shape_id',
                                                                'wheelchair_accessible', 'bikes_allowed'],
                                                 unique_fields=['id'])
                        trips.clear()
                if trips and not dry_run:
                    Trip.objects.bulk_create(trips,
                                             update_conflicts=True,
                                             update_fields=['route_id', 'service_id', 'headsign', 'short_name',
                                                            'direction_id', 'block_id', 'shape_id',
                                                            'wheelchair_accessible', 'bikes_allowed'],
                                             unique_fields=['id'])
                    trips.clear()

                stop_times = []
                for stop_time_dict in csv.DictReader(read_file("stop_times.txt")):
                    stop_time_dict: dict

                    stop_id = stop_time_dict['stop_id']
                    if transport_type in ["ES", "TI", "RENFE"]:
                        stop_id = f"{transport_type}-{stop_id}"

                    trip_id = stop_time_dict['trip_id']
                    if transport_type in ["TGV", "IC", "TER"]:
                        trip_id = trip_id.split(':', 1)[0]
                    elif transport_type in ["ES", "TI", "RENFE"]:
                        trip_id = f"{transport_type}-{trip_id}"

                    arr_time = stop_time_dict['arrival_time']
                    arr_h, arr_m, arr_s = map(int, arr_time.split(':'))
                    arr_time = arr_h * 3600 + arr_m * 60 + arr_s
                    dep_time = stop_time_dict['departure_time']
                    dep_h, dep_m, dep_s = map(int, dep_time.split(':'))
                    dep_time = dep_h * 3600 + dep_m * 60 + dep_s

                    pickup_type = stop_time_dict.get('pickup_type', 0)
                    drop_off_type = stop_time_dict.get('drop_off_type', 0)
                    if transport_type in ["ES", "RENFE", "OBB"]:
                        if stop_time_dict['stop_sequence'] == "1":
                            drop_off_type = 1
                        elif arr_time == dep_time:
                            pickup_type = 1
                    elif transport_type == "TI":
                        if stop_time_dict['stop_sequence'] == "0":
                            drop_off_type = 1
                        elif arr_time == dep_time:
                            pickup_type = 1

                    st = StopTime(
                        id=f"{trip_id}-{stop_id}",
                        trip_id=trip_id,
                        arrival_time=timedelta(seconds=arr_time),
                        departure_time=timedelta(seconds=dep_time),
                        stop_id=stop_id,
                        stop_sequence=stop_time_dict['stop_sequence'],
                        stop_headsign=stop_time_dict.get('stop_headsign', ""),
                        pickup_type=pickup_type,
                        drop_off_type=drop_off_type,
                        timepoint=stop_time_dict.get('timepoint', None),
                    )
                    stop_times.append(st)

                    if len(stop_times) >= bulk_size and not dry_run:
                        StopTime.objects.bulk_create(stop_times,
                                                     update_conflicts=True,
                                                     update_fields=['stop_id', 'arrival_time', 'departure_time',
                                                                    'stop_headsign', 'pickup_type',
                                                                    'drop_off_type', 'timepoint'],
                                                     unique_fields=['id'])
                        stop_times.clear()
                if stop_times and not dry_run:
                    StopTime.objects.bulk_create(stop_times,
                                                 update_conflicts=True,
                                                 update_fields=['stop_id', 'arrival_time', 'departure_time',
                                                                'stop_headsign', 'pickup_type',
                                                                'drop_off_type', 'timepoint'],
                                                 unique_fields=['id'])
                    stop_times.clear()

                if "transfers.txt" in zipfile.namelist():
                    transfers = []
                    for transfer_dict in csv.DictReader(read_file("transfers.txt")):
                        transfer_dict: dict
                        from_stop_id = transfer_dict['from_stop_id']
                        to_stop_id = transfer_dict['to_stop_id']
                        if transport_type in ["ES", "RENFE", "OBB"]:
                            from_stop_id = f"{transport_type}-{from_stop_id}"
                            to_stop_id = f"{transport_type}-{to_stop_id}"

                        transfer = Transfer(
                            id=f"{from_stop_id}-{to_stop_id}",
                            from_stop_id=transfer_dict['from_stop_id'],
                            to_stop_id=transfer_dict['to_stop_id'],
                            transfer_type=transfer_dict['transfer_type'],
                            min_transfer_time=transfer_dict['min_transfer_time'],
                        )
                        transfers.append(transfer)

                        if len(transfers) >= bulk_size and not dry_run:
                            Transfer.objects.bulk_create(transfers,
                                                         update_conflicts=True,
                                                         update_fields=['transfer_type', 'min_transfer_time'],
                                                         unique_fields=['id'])
                            transfers.clear()

                    if transfers and not dry_run:
                        Transfer.objects.bulk_create(transfers,
                                                     update_conflicts=True,
                                                     update_fields=['transfer_type', 'min_transfer_time'],
                                                     unique_fields=['id'])
                        transfers.clear()

                if "feed_info.txt" in zipfile.namelist() and not dry_run:
                    for feed_info_dict in csv.DictReader(read_file("feed_info.txt")):
                        feed_info_dict: dict
                        FeedInfo.objects.update_or_create(
                            publisher_name=feed_info_dict['feed_publisher_name'],
                            defaults=dict(
                                publisher_url=feed_info_dict['feed_publisher_url'],
                                lang=feed_info_dict['feed_lang'],
                                start_date=feed_info_dict.get('feed_start_date', datetime.now().date()),
                                end_date=feed_info_dict.get('feed_end_date', datetime.now().date()),
                                version=feed_info_dict.get('feed_version', 1),
                            )
                        )