#!/usr/bin/env python3 """Gwenda vibe check: GR routes, nature reserves, cultural vibe for top properties.""" import json import math import time import requests OVERPASS_URL = "https://overpass-api.de/api/interpreter" def haversine_km(lat1, lon1, lat2, lon2): R = 6371 dlat, dlon = math.radians(lat2 - lat1), math.radians(lon2 - lon1) a = math.sin(dlat / 2) ** 2 + math.cos(math.radians(lat1)) * math.cos(math.radians(lat2)) * math.sin(dlon / 2) ** 2 return R * 2 * math.asin(math.sqrt(a)) def overpass(query): try: resp = requests.post(OVERPASS_URL, data={"data": query}, timeout=20) return resp.json().get("elements", []) except Exception: return [] def find_gr_routes(lat, lon, radius=50000): query = f"""[out:json][timeout:15]; ( relation["route"="hiking"]["ref"~"GR|E "](around:{radius},{lat},{lon}); way["route"="hiking"]["ref"~"GR|E "](around:{radius},{lat},{lon}); ); out tags 20;""" els = overpass(query) routes = set() for el in els: ref = el.get("tags", {}).get("ref", "") name = el.get("tags", {}).get("name", "") if ref: routes.add(ref) elif name and "GR" in name.upper(): routes.add(name[:40]) return sorted(routes) if routes else ["none within 50km"] def find_nature(lat, lon, radius=30000): query = f"""[out:json][timeout:15]; ( way["leisure"="nature_reserve"](around:{radius},{lat},{lon}); relation["leisure"="nature_reserve"](around:{radius},{lat},{lon}); relation["boundary"="national_park"](around:{radius},{lat},{lon}); relation["boundary"="protected_area"](around:{radius},{lat},{lon}); ); out tags 10;""" els = overpass(query) names = set() for el in els: name = el.get("tags", {}).get("name", "") if name: names.add(name[:50]) return sorted(names)[:5] if names else ["none within 30km"] def find_walking_paths(lat, lon, radius=10000): query = f"""[out:json][timeout:10]; way["highway"="path"]["sac_scale"](around:{radius},{lat},{lon}); out count;""" els = overpass(query) # Count is in the tags of a count element for el in els: count = el.get("tags", {}).get("ways", el.get("tags", {}).get("total", 0)) return int(count) if count else 0 return 0 def find_organic_farms(lat, lon, radius=30000): query = f"""[out:json][timeout:10]; ( node["organic"="yes"](around:{radius},{lat},{lon}); node["shop"="organic"](around:{radius},{lat},{lon}); node["cuisine"="organic"](around:{radius},{lat},{lon}); ); out tags 5;""" els = overpass(query) names = [] for el in els: name = el.get("tags", {}).get("name", "") if name: names.append(name) return names[:3] if names else ["none found"] # Known cultural/alternative vibe data per region VIBE_NOTES = { "Liguria": "Ligurian hinterland has alternative communities, back-to-land movement. " "Genoa has strong leftist tradition (dockworkers, anti-G8). " "Not touristy inland (coast is). Art/craft scene in hilltop villages.", "Le Marche": "Under-the-radar Italy. Eco-communities near Amandola/Monti Sibillini. " "Less touristy than Tuscany/Umbria. Foreign settlers (Dutch, UK) doing agriturismo. " "Progressive pockets but generally conservative rural.", "Valencia": "Inland Castellón mountains are wild and empty. Strong hiking culture. " "Alternative communities in Maestrazgo. Left-leaning Valencia city influence. " "Very few tourists inland. Rough limestone landscapes.", "Creuse": "La Creuse = France's emptiest department. Strong back-to-land tradition since 1970s. " "Neo-rural communities, organic farming, craft culture. Progressive/alternative enclaves. " "GR routes through Millevaches plateau. NOT touristy at all. Very cheap property.", "Orne": "Perche region: rolling green hills, artisan culture, Parisian weekenders. " "Organic farms, cider makers, horse country. Calmer than Normandy coast. " "More bourgeois-bohème than radical-left. Some tourism but low-key.", } def main(): from store import load store = load() with open("cyber_prairie_shortlist.json") as f: data = json.load(f) top5 = data["shortlist"][:5] for i, e in enumerate(top5): p = store.get(e["url"], {}) lat = float(p.get("lat") or 0) lon = float(p.get("lon") or 0) location = e.get("location", "?") region = e.get("vibe_region", "") price = e.get("price") price_str = f"EUR {price:,.0f}" if isinstance(price, (int, float)) else "?" # Detect region from location/title/url search_text = " ".join(filter(None, [location, e.get("title", ""), e.get("url", "")])) listing_region = region or "Unknown" # Match to VIBE_NOTES vibe_key = None for key in VIBE_NOTES: if key.lower() in search_text.lower() or key.lower() in listing_region.lower(): vibe_key = key break # Also try matching from broader context if not vibe_key: if lat > 43 and lat < 45 and lon > 7 and lon < 10: vibe_key = "Liguria" elif lat > 42 and lat < 44 and lon > 12 and lon < 14: vibe_key = "Le Marche" elif lat > 39 and lat < 41 and lon > -1 and lon < 1: vibe_key = "Valencia" elif lat > 45 and lat < 47 and lon > 1.5 and lon < 3: vibe_key = "Creuse" elif lat > 48 and lat < 49 and lon > 0 and lon < 2: vibe_key = "Orne" print(f"\n{'=' * 65}") print(f"#{i+1} {location} | {listing_region or vibe_key or '?'} | {price_str} | CP {e['cp_score']:.2f}") print(f" {e['url']}") print(f"{'=' * 65}") # GR routes gr = find_gr_routes(lat, lon) print(f" GR routes (50km): {', '.join(gr)}") time.sleep(1.5) # Nature reserves nature = find_nature(lat, lon) print(f" Nature reserves: {', '.join(nature)}") time.sleep(1.5) # Walking paths density paths = find_walking_paths(lat, lon) print(f" Walking paths: {paths} marked paths within 10km") time.sleep(1.5) # Organic/alternative organic = find_organic_farms(lat, lon) print(f" Organic/alt shops: {', '.join(organic)}") time.sleep(1.5) # Cultural vibe note if vibe_key and vibe_key in VIBE_NOTES: print(f"\n GWENDA VIBE ({vibe_key}):") note = VIBE_NOTES[vibe_key] # Word wrap at 70 chars words = note.split() line = " " for w in words: if len(line) + len(w) > 70: print(line) line = " " + w else: line += " " + w if line.strip() else w if line.strip(): print(line) print() if __name__ == "__main__": main()