376551213a
* flats: new lat/lng columns (migration v3); alert geocodes every new flat through googlemaps and ships coords in the payload * web: CSP extended for unpkg (leaflet.css) + tile.openstreetmap.org * Wohnungen tab: Liste/Karte view toggle (segmented, CSS-only via :has(), selection persisted in localStorage). Karte shows passende flats as Pins on an OSM tile map; Popup per Pin mit Adresse, Zimmer/m²/€ und Link * Top-strip toggles are now proper iOS-style toggle switches (single rounded knob sliding in a pill, red when on), no descriptive subtitle * Alarm-Karte verlinkt jetzt auf /einstellungen/benachrichtigungen (Filter-Karte bleibt /einstellungen/filter) Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
104 lines
3.7 KiB
Python
104 lines
3.7 KiB
Python
import logging
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import googlemaps
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from datetime import datetime, timedelta, time as dt_time
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from settings import GMAPS_API_KEY
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logger = logging.getLogger("flat-alert")
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class Maps:
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DESTINATIONS = {
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"Hbf": "Berlin Hauptbahnhof",
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"Friedrichstr": "Friedrichstraße, Berlin",
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"Kotti": "Kottbusser Tor, Berlin",
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"Warschauer": "Warschauer Straße, Berlin",
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"Ostkreuz": "Ostkreuz, Berlin",
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"Nollendorf": "Nollendorfplatz, Berlin",
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"Zoo": "Zoologischer Garten, Berlin",
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"Kudamm": "Kurfürstendamm, Berlin",
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"Gesundbrunnen": "Gesundbrunnen, Berlin",
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"Hermannplatz": "Hermannplatz, Berlin"
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}
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def __init__(self):
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self.gmaps = googlemaps.Client(key=GMAPS_API_KEY)
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def geocode(self, address):
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"""Return (lat, lng) or None for a Berlin address string."""
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if not address:
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return None
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try:
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res = self.gmaps.geocode(f"{address}, Berlin, Germany")
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if not res:
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return None
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loc = res[0]["geometry"]["location"]
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return (float(loc["lat"]), float(loc["lng"]))
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except Exception as e:
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logger.warning("geocode failed for %r: %s", address, e)
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return None
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def _get_next_weekday(self, date, weekday):
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days_ahead = weekday - date.weekday()
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if days_ahead <= 0:
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days_ahead += 7
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return date + timedelta(days_ahead)
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def _calculate_transfers(self, steps):
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transit_count = sum(1 for step in steps if step['travel_mode'] == 'TRANSIT')
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return max(0, transit_count - 1)
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def calculate_score(self, origin_address):
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now = datetime.now()
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# Next Monday 8:00 AM
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next_monday = self._get_next_weekday(now, 0)
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morning_departure = datetime.combine(next_monday.date(), dt_time(8, 0))
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# Next Sunday 2:00 AM
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next_sunday = self._get_next_weekday(now, 6)
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night_departure = datetime.combine(next_sunday.date(), dt_time(2, 0))
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total_morning_minutes = 0
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total_morning_transfers = 0
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total_night_minutes = 0
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total_night_transfers = 0
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dest_count = 0
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for key, dest_address in self.DESTINATIONS.items():
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# Morning: Flat -> Center
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routes_morning = self.gmaps.directions(
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origin=origin_address,
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destination=dest_address,
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mode="transit",
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departure_time=morning_departure
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)
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# Night: Center -> Flat
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routes_night = self.gmaps.directions(
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origin=dest_address,
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destination=origin_address,
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mode="transit",
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departure_time=night_departure
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)
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if routes_morning:
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leg = routes_morning[0]['legs'][0]
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total_morning_minutes += leg['duration']['value'] / 60
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total_morning_transfers += self._calculate_transfers(leg['steps'])
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if routes_night:
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leg = routes_night[0]['legs'][0]
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total_night_minutes += leg['duration']['value'] / 60
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total_night_transfers += self._calculate_transfers(leg['steps'])
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dest_count += 1
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avg_m_time = total_morning_minutes / dest_count if dest_count else 0
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avg_m_trans = total_morning_transfers / dest_count if dest_count else 0
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avg_n_time = total_night_minutes / dest_count if dest_count else 0
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avg_n_trans = total_night_transfers / dest_count if dest_count else 0
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return {
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'morning_time': avg_m_time,
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'morning_transfers': avg_m_trans,
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'night_time': avg_n_time,
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'night_transfers': avg_n_trans
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}
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