405 lines
22 KiB
Python
405 lines
22 KiB
Python
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[calendar.id] = calendar
|
|
|
|
if len(calendars) >= bulk_size and not dry_run:
|
|
Calendar.objects.bulk_create(calendars.values(),
|
|
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.values(), 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}-{stop_time_dict['departure_time']}",
|
|
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),
|
|
)
|
|
)
|