"""BAN YARO — Nearby Alerts (Giftköder + Vermisste Hunde)""" import math from datetime import datetime from fastapi import APIRouter, Depends from database import db from auth import get_current_user_optional as get_optional_user router = APIRouter() _RADIUS_M = 20_000 # 20 km _RADIUS_KM = _RADIUS_M / 1000.0 def _haversine(lat1: float, lon1: float, lat2: float, lon2: float) -> float: R = 6_371_000 p1, p2 = math.radians(lat1), math.radians(lat2) dp = math.radians(lat2 - lat1) dl = math.radians(lon2 - lon1) a = math.sin(dp / 2) ** 2 + math.cos(p1) * math.cos(p2) * math.sin(dl / 2) ** 2 return 2 * R * math.asin(math.sqrt(a)) def _bbox(lat: float, lon: float, radius_km: float) -> tuple[float, float, float, float]: """Bounding-Box-Approximation für lat/lon innerhalb radius_km.""" lat_delta = radius_km / 111.0 # cos darf bei Polen nicht 0 werden → mit kleinem Minimum absichern cos_lat = max(abs(math.cos(math.radians(lat))), 0.01) lon_delta = radius_km / (111.0 * cos_lat) return (lat - lat_delta, lat + lat_delta, lon - lon_delta, lon + lon_delta) @router.get("") async def nearby_alerts(lat: float, lon: float, user=Depends(get_optional_user)): now = datetime.utcnow().isoformat() lat_min, lat_max, lon_min, lon_max = _bbox(lat, lon, _RADIUS_KM) with db() as conn: # Bounding-Box-Vorfilter per SQL (billig) → reduziert die Kandidaten # auf ~10 Einträge statt "alle". Die exakte Haversine-Prüfung passiert # anschließend in Python. poisons = conn.execute( """SELECT lat, lon FROM poison WHERE geloest=0 AND expires_at > ? AND lat BETWEEN ? AND ? AND lon BETWEEN ? AND ?""", (now, lat_min, lat_max, lon_min, lon_max) ).fetchall() lost = conn.execute( """SELECT lat, lon FROM lost_dogs WHERE is_active=1 AND lat BETWEEN ? AND ? AND lon BETWEEN ? AND ?""", (lat_min, lat_max, lon_min, lon_max) ).fetchall() # Letzten Standort des Users für geo-basierte Push-Filter speichern if user: conn.execute( """UPDATE push_subscriptions SET last_lat=?, last_lon=? WHERE user_id=?""", (lat, lon, user["id"]) ) has_poison = any(_haversine(lat, lon, r["lat"], r["lon"]) <= _RADIUS_M for r in poisons) has_lost = any(_haversine(lat, lon, r["lat"], r["lon"]) <= _RADIUS_M for r in lost) return {"poison": has_poison, "lost": has_lost}