410 lines
19 KiB
Python
410 lines
19 KiB
Python
import csv
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import os.path
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import tempfile
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from datetime import datetime, timedelta
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from time import time
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from zipfile import ZipFile
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from zoneinfo import ZoneInfo
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import requests
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from django.core.management import BaseCommand
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from django.db import transaction
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from tqdm import tqdm
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from trainvel.gtfs.models import Agency, Calendar, CalendarDate, FeedInfo, GTFSFeed, Route, Stop, StopTime, \
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Transfer, Trip, PickupType, TripUpdate
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class Command(BaseCommand):
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help = "Update the Trainvel GTFS database."
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def add_arguments(self, parser):
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parser.add_argument('--debug', '-d', action='store_true', help="Activate debug mode")
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parser.add_argument('--bulk_size', '-b', type=int, default=2000, help="Number of objects to create in bulk.")
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parser.add_argument('--dry-run', action='store_true',
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help="Do not update the database, only print what would be done.")
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parser.add_argument('--force', '-f', action='store_true', help="Force the update of the database.")
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def handle(self, debug: bool = False, bulk_size: int = 100, dry_run: bool = False, force: bool = False,
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verbosity: int = 1, *args, **options):
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if dry_run:
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self.stdout.write(self.style.WARNING("Dry run mode activated."))
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self.stdout.write("Updating database...")
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for gtfs_feed in GTFSFeed.objects.all():
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if not force:
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# Check if the source file was updated
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resp = requests.head(gtfs_feed.feed_url, allow_redirects=True)
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if 'ETag' in resp.headers and gtfs_feed.etag:
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if resp.headers['ETag'] == gtfs_feed.etag:
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if verbosity >= 1:
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self.stdout.write(self.style.WARNING(f"Database is already up-to-date for {gtfs_feed}."))
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continue
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if 'Last-Modified' in resp.headers and gtfs_feed.last_modified:
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last_modified = resp.headers['Last-Modified']
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last_modified = datetime.strptime(last_modified, "%a, %d %b %Y %H:%M:%S %Z") \
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.replace(tzinfo=ZoneInfo(last_modified.split(' ')[-1]))
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if last_modified <= gtfs_feed.last_modified:
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if verbosity >= 1:
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self.stdout.write(self.style.WARNING(f"Database is already up-to-date for {gtfs_feed}."))
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continue
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self.stdout.write(f"Downloading GTFS feed for {gtfs_feed}...")
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resp = requests.get(gtfs_feed.feed_url, allow_redirects=True, stream=True)
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with tempfile.TemporaryFile(suffix=".zip") as file:
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for chunk in resp.iter_content(chunk_size=128):
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file.write(chunk)
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file.seek(0)
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with tempfile.TemporaryDirectory() as tmp_dir:
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with ZipFile(file) as zipfile:
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zipfile.extractall(tmp_dir)
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self.parse_gtfs(tmp_dir, gtfs_feed, bulk_size, dry_run, verbosity)
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if 'ETag' in resp.headers:
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gtfs_feed.etag = resp.headers['ETag']
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gtfs_feed.save()
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if 'Last-Modified' in resp.headers:
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last_modified = resp.headers['Last-Modified']
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gtfs_feed.last_modified = datetime.strptime(last_modified, "%a, %d %b %Y %H:%M:%S %Z") \
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.replace(tzinfo=ZoneInfo(last_modified.split(' ')[-1]))
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gtfs_feed.save()
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def parse_gtfs(self, zip_dir: str, gtfs_feed: GTFSFeed, bulk_size: int, dry_run: bool, verbosity: int):
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gtfs_code = gtfs_feed.code
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def read_csv(filename):
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with open(os.path.join(zip_dir, filename), 'r') as f:
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reader = csv.DictReader(f)
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reader.fieldnames = [field.replace('\ufeff', '').strip()
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for field in reader.fieldnames]
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iterator = tqdm(reader, desc=filename, unit=' rows') if verbosity >= 2 else reader
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for row in iterator:
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yield {k.strip(): v.strip() for k, v in row.items()}
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agencies = []
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for agency_dict in read_csv("agency.txt"):
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agency_dict: dict
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agency = Agency(
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id=f"{gtfs_code}-{agency_dict['agency_id']}",
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name=agency_dict['agency_name'],
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url=agency_dict['agency_url'],
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timezone=agency_dict['agency_timezone'],
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lang=agency_dict.get('agency_lang', "fr"),
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phone=agency_dict.get('agency_phone', ""),
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email=agency_dict.get('agency_email', ""),
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gtfs_feed_id=gtfs_code,
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)
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agencies.append(agency)
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if agencies and not dry_run:
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Agency.objects.bulk_create(agencies,
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update_conflicts=True,
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update_fields=['name', 'url', 'timezone', 'lang', 'phone', 'email',
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'gtfs_feed'],
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unique_fields=['id'])
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agencies.clear()
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stops = []
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for stop_dict in read_csv("stops.txt"):
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stop_dict: dict
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stop_id = stop_dict['stop_id']
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stop_id = f"{gtfs_code}-{stop_id}"
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parent_station_id = stop_dict.get('parent_station', None)
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parent_station_id = f"{gtfs_code}-{parent_station_id}" if parent_station_id else None
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stop = Stop(
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id=stop_id,
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name=stop_dict['stop_name'],
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desc=stop_dict.get('stop_desc', ""),
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lat=stop_dict['stop_lat'],
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lon=stop_dict['stop_lon'],
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zone_id=stop_dict.get('zone_id', ""),
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url=stop_dict.get('stop_url', ""),
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location_type=stop_dict.get('location_type', 0) or 0,
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parent_station_id=parent_station_id,
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timezone=stop_dict.get('stop_timezone', ""),
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wheelchair_boarding=stop_dict.get('wheelchair_boarding', 0),
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level_id=stop_dict.get('level_id', ""),
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platform_code=stop_dict.get('platform_code', ""),
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gtfs_feed_id=gtfs_code,
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)
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stops.append(stop)
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if stops and not dry_run:
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Stop.objects.bulk_create(stops,
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batch_size=bulk_size,
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update_conflicts=True,
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update_fields=['name', 'desc', 'lat', 'lon', 'zone_id', 'url',
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'location_type', 'parent_station_id', 'timezone',
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'wheelchair_boarding', 'level_id', 'platform_code',
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'gtfs_feed'],
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unique_fields=['id'])
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stops.clear()
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routes = []
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for route_dict in read_csv("routes.txt"):
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route_dict: dict
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route_id = route_dict['route_id']
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route_id = f"{gtfs_code}-{route_id}"
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# Agency is optional there is only one
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agency_id = route_dict.get('agency_id', "") or Agency.objects.get(gtfs_feed_id=gtfs_code)
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route = Route(
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id=route_id,
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agency_id=f"{gtfs_code}-{agency_id}",
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short_name=route_dict['route_short_name'],
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long_name=route_dict['route_long_name'],
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desc=route_dict.get('route_desc', ""),
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type=route_dict['route_type'],
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url=route_dict.get('route_url', ""),
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color=route_dict.get('route_color', ""),
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text_color=route_dict.get('route_text_color', ""),
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gtfs_feed_id=gtfs_code,
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)
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routes.append(route)
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if len(routes) >= bulk_size and not dry_run:
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Route.objects.bulk_create(routes,
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update_conflicts=True,
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update_fields=['agency_id', 'short_name', 'long_name', 'desc',
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'type', 'url', 'color', 'text_color',
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'gtfs_feed'],
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unique_fields=['id'])
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routes.clear()
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if routes and not dry_run:
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Route.objects.bulk_create(routes,
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update_conflicts=True,
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update_fields=['agency_id', 'short_name', 'long_name', 'desc',
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'type', 'url', 'color', 'text_color',
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'gtfs_feed'],
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unique_fields=['id'])
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routes.clear()
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start_time = 0
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if verbosity >= 1:
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self.stdout.write("Deleting old calendars, trips and stop times…")
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start_time = time()
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TripUpdate.objects.filter(trip__gtfs_feed_id=gtfs_code).delete()
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StopTime.objects.filter(trip__gtfs_feed_id=gtfs_code)._raw_delete(StopTime.objects.db)
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Trip.objects.filter(gtfs_feed_id=gtfs_code)._raw_delete(Trip.objects.db)
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Calendar.objects.filter(gtfs_feed_id=gtfs_code).delete()
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if verbosity >= 1:
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end = time()
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self.stdout.write(f"Done in {end - start_time:.2f} s")
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calendars = {}
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if os.path.exists(os.path.join(zip_dir, "calendar.txt")):
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for calendar_dict in read_csv("calendar.txt"):
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calendar_dict: dict
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calendar = Calendar(
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id=f"{gtfs_code}-{calendar_dict['service_id']}",
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monday=calendar_dict['monday'],
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tuesday=calendar_dict['tuesday'],
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wednesday=calendar_dict['wednesday'],
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thursday=calendar_dict['thursday'],
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friday=calendar_dict['friday'],
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saturday=calendar_dict['saturday'],
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sunday=calendar_dict['sunday'],
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start_date=calendar_dict['start_date'],
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end_date=calendar_dict['end_date'],
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gtfs_feed_id=gtfs_code,
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)
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calendars[calendar.id] = calendar
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if len(calendars) >= bulk_size and not dry_run:
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Calendar.objects.bulk_create(calendars.values(), batch_size=bulk_size)
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calendars.clear()
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if calendars and not dry_run:
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Calendar.objects.bulk_create(calendars.values(), batch_size=bulk_size)
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calendars.clear()
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calendar_dates = []
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all_calendars = {calendar.id: calendar for calendar in Calendar.objects.filter(gtfs_feed_id=gtfs_code)}
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new_calendars = {}
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with transaction.atomic():
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for calendar_date_dict in read_csv("calendar_dates.txt"):
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calendar_date_dict: dict
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service_id = f"{gtfs_code}-{calendar_date_dict['service_id']}"
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date = datetime.fromisoformat(calendar_date_dict['date']).date()
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calendar_date = CalendarDate(
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id=f"{gtfs_code}-{calendar_date_dict['service_id']}-{calendar_date_dict['date']}",
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service_id=service_id,
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date=calendar_date_dict['date'],
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exception_type=calendar_date_dict['exception_type'],
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)
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calendar_dates.append(calendar_date)
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if service_id not in all_calendars:
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calendar = Calendar(
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id=service_id,
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monday=False,
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tuesday=False,
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wednesday=False,
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thursday=False,
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friday=False,
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saturday=False,
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sunday=False,
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start_date=date,
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end_date=date,
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gtfs_feed_id=gtfs_code,
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)
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all_calendars[service_id] = calendar
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new_calendars[service_id] = calendar
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else:
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calendar = all_calendars[service_id]
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if calendar.start_date > date:
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calendar.start_date = date
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if calendar.end_date < date:
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calendar.end_date = date
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if len(calendar_dates) >= bulk_size and not dry_run:
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CalendarDate.objects.bulk_create(calendar_dates, batch_size=bulk_size)
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calendar_dates.clear()
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if (calendar_dates or new_calendars) and not dry_run:
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Calendar.objects.bulk_create(new_calendars.values(), batch_size=bulk_size)
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CalendarDate.objects.bulk_create(calendar_dates, batch_size=bulk_size)
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new_calendars.clear()
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calendar_dates.clear()
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trips = []
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# start_time = time()
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for trip_dict in read_csv("trips.txt"):
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trip_dict: dict
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trip_id = trip_dict['trip_id']
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route_id = trip_dict['route_id']
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trip_id = f"{gtfs_code}-{trip_id}"
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route_id = f"{gtfs_code}-{route_id}"
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trip = Trip(
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id=trip_id,
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route_id=route_id,
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service_id=f"{gtfs_code}-{trip_dict['service_id']}",
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headsign=trip_dict.get('trip_headsign', ""),
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short_name=trip_dict.get('trip_short_name', ""),
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direction_id=trip_dict.get('direction_id', None) or None,
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block_id=trip_dict.get('block_id', ""),
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shape_id=trip_dict.get('shape_id', ""),
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wheelchair_accessible=trip_dict.get('wheelchair_accessible', None),
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bikes_allowed=trip_dict.get('bikes_allowed', None),
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gtfs_feed_id=gtfs_code,
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)
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trips.append(trip)
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if len(trips) >= bulk_size and not dry_run:
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# now = time()
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# print(f"Elapsed time: {now - start_time:.3f}s, "
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# f"{1000 * (now - start_time) / len(trips):.2f}ms per iteration")
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# start_time = now
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Trip.objects.bulk_create(trips)
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# now = time()
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# print(f"Elapsed time: {now - start_time:.3f}s to save")
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# start_time = now
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trips.clear()
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if trips and not dry_run:
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Trip.objects.bulk_create(trips)
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trips.clear()
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stop_times = []
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# start_time = time()
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for stop_time_dict in read_csv("stop_times.txt"):
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stop_time_dict: dict
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stop_id = stop_time_dict['stop_id']
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stop_id = f"{gtfs_code}-{stop_id}"
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trip_id = stop_time_dict['trip_id']
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trip_id = f"{gtfs_code}-{trip_id}"
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arr_time = stop_time_dict['arrival_time']
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arr_h, arr_m, arr_s = map(int, arr_time.split(':'))
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arr_time = arr_h * 3600 + arr_m * 60 + arr_s
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dep_time = stop_time_dict['departure_time']
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dep_h, dep_m, dep_s = map(int, dep_time.split(':'))
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dep_time = dep_h * 3600 + dep_m * 60 + dep_s
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pickup_type = stop_time_dict.get('pickup_type', PickupType.REGULAR)
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drop_off_type = stop_time_dict.get('drop_off_type', PickupType.REGULAR)
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# if stop_time_dict['stop_sequence'] == "1":
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# # First stop
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# drop_off_type = PickupType.NONE
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# elif arr_time == dep_time:
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# # Last stop
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# pickup_type = PickupType.NONE
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st = StopTime(
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id=f"{gtfs_code}-{stop_time_dict['trip_id']}-{stop_time_dict['stop_sequence']}",
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trip_id=trip_id,
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arrival_time=timedelta(seconds=arr_time),
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departure_time=timedelta(seconds=dep_time),
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stop_id=stop_id,
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stop_sequence=stop_time_dict['stop_sequence'],
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stop_headsign=stop_time_dict.get('stop_headsign', ""),
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pickup_type=pickup_type,
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drop_off_type=drop_off_type,
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timepoint=stop_time_dict.get('timepoint', None),
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)
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stop_times.append(st)
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if len(stop_times) >= bulk_size and not dry_run:
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# now = time()
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# print(f"Elapsed time: {now - start_time:.3f}s, "
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# f"{1000 * (now - start_time) / len(stop_times):.2f}ms per iteration")
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# start_time = now
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StopTime.objects.bulk_create(stop_times)
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# now = time()
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# print(f"Elapsed time: {now - start_time:.3f}s to save")
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# start_time = now
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stop_times.clear()
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if stop_times and not dry_run:
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StopTime.objects.bulk_create(stop_times)
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stop_times.clear()
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if os.path.exists(os.path.join(zip_dir, "transfers.txt")):
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transfers = []
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for transfer_dict in read_csv("transfers.txt"):
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transfer_dict: dict
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from_stop_id = transfer_dict['from_stop_id']
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to_stop_id = transfer_dict['to_stop_id']
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from_stop_id = f"{gtfs_code}-{from_stop_id}"
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to_stop_id = f"{gtfs_code}-{to_stop_id}"
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transfer = Transfer(
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id=f"{gtfs_code}-{transfer_dict['from_stop_id']}-{transfer_dict['to_stop_id']}",
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from_stop_id=from_stop_id,
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to_stop_id=to_stop_id,
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transfer_type=transfer_dict['transfer_type'],
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min_transfer_time=transfer_dict.get('min_transfer_time', 0) or 0,
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)
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transfers.append(transfer)
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if len(transfers) >= bulk_size and not dry_run:
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Transfer.objects.bulk_create(transfers)
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transfers.clear()
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if transfers and not dry_run:
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Transfer.objects.bulk_create(transfers)
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transfers.clear()
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if os.path.exists(os.path.join(zip_dir, "feed_info.txt")) and not dry_run:
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for feed_info_dict in read_csv("feed_info.txt"):
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feed_info_dict: dict
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FeedInfo.objects.update_or_create(
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publisher_name=feed_info_dict['feed_publisher_name'],
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gtfs_feed_id=gtfs_code,
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defaults=dict(
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publisher_url=feed_info_dict['feed_publisher_url'],
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lang=feed_info_dict['feed_lang'],
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start_date=feed_info_dict.get('feed_start_date', datetime.now().date()),
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end_date=feed_info_dict.get('feed_end_date', datetime.now().date()),
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version=feed_info_dict.get('feed_version', 1),
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)
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)
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