Release v2.0 - add Netherlands POI analysis
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Hermes Agent
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#!/usr/bin/env python3
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"""
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Genereer interactieve kaart voor adres analyse.
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Toont isochronen plus dichtstbijzijnde supermarkten en scholen uit lokale PostGIS OSM-data.
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"""
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import json
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import sys
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import urllib.parse
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import urllib.request
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import folium
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from folium.plugins import MarkerCluster
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from voorzieningen import analyse_voorzieningen, format_afstand, format_duur
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ORS_BASE = "http://192.168.1.71:9080/ors/v2"
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PDOK_BASE = "https://api.pdok.nl/bzk/locatieserver/search/v3_1"
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def geocode_adres(adres):
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params = urllib.parse.urlencode({
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"q": adres,
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"rows": 5,
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"fl": "centroide_ll,weergavenaam,postcode,woonplaatsnaam,type,huisnummer",
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})
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url = f"{PDOK_BASE}/free?{params}"
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with urllib.request.urlopen(url, timeout=10) as resp:
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data = json.loads(resp.read())
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docs = data.get("response", {}).get("docs", [])
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if not docs:
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raise ValueError(f"Adres niet gevonden: {adres}")
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doc = next((d for d in docs if d.get("type") == "adres"), docs[0])
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point = doc["centroide_ll"].replace("POINT(", "").replace(")", "").split()
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lon, lat = float(point[0]), float(point[1])
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return {
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"adres": doc.get("weergavenaam", adres),
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"postcode": doc.get("postcode", ""),
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"woonplaats": doc.get("woonplaatsnaam", ""),
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"lat": lat,
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"lon": lon,
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}
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def haal_isochroon(lon, lat, profiel, minuten):
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payload = json.dumps({
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"locations": [[lon, lat]],
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"range": [minuten * 60],
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"attributes": ["area", "reachfactor", "total_pop"],
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}).encode()
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req = urllib.request.Request(
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f"{ORS_BASE}/isochrones/{profiel}",
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data=payload,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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with urllib.request.urlopen(req, timeout=60) as resp:
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return json.loads(resp.read())
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def polygon_bounds(feature_collection):
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bbox = feature_collection.get("bbox", [])
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if len(bbox) == 4:
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return [[bbox[1], bbox[0]], [bbox[3], bbox[2]]]
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bounds = []
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for feature in feature_collection.get("features", []):
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coords = feature.get("geometry", {}).get("coordinates", [[]])[0]
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bounds.extend([[lat, lon] for lon, lat in coords])
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return bounds
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def voeg_isochroon_toe(group, iso, label, kleur, tooltip):
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for feature in iso.get("features", []):
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coords = feature["geometry"]["coordinates"][0]
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props = feature.get("properties", {})
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area_km2 = props.get("area", 0) / 1_000_000
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reach = props.get("reachfactor", 0)
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folium.Polygon(
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locations=[[lat, lon] for lon, lat in coords],
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color=kleur,
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weight=3,
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fill=True,
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fill_color=kleur,
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fill_opacity=0.18,
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popup=(
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f"<b>{label}</b><br>"
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f"Oppervlakte: {area_km2:.1f} km²<br>"
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f"Reach factor: {reach:.3f}"
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),
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tooltip=tooltip,
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).add_to(group)
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def voeg_pois_toe(group, pois, kleur, icon):
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for poi in pois:
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popup = (
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f"<b>{poi.naam}</b><br>"
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f"Categorie: {poi.categorie}<br>"
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f"Hemelsbreed: {format_afstand(poi.hemelsbreed_m)}<br>"
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f"Fiets: {format_afstand(poi.fiets_afstand_m)} / {format_duur(poi.fiets_duur_s)}<br>"
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f"Auto: {format_afstand(poi.auto_afstand_m)} / {format_duur(poi.auto_duur_s)}<br>"
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f"Bron: {poi.bron}"
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)
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folium.Marker(
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[poi.lat, poi.lon],
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popup=popup,
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tooltip=f"{poi.categorie}: {poi.naam}",
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icon=folium.Icon(color=kleur, icon=icon, prefix="fa"),
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).add_to(group)
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def genereer_kaart(adres, output_file="/root/adres-analyse/kaart.html"):
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locatie = geocode_adres(adres)
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lat, lon = locatie["lat"], locatie["lon"]
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auto_iso = haal_isochroon(lon, lat, "driving-car", 20)
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fiets_iso = haal_isochroon(lon, lat, "cycling-regular", 30)
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voorzieningen = analyse_voorzieningen(lon, lat, limit=5)
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m = folium.Map(location=[lat, lon], zoom_start=11, tiles="OpenStreetMap")
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folium.Marker(
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[lat, lon],
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popup=locatie["adres"],
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tooltip=locatie["adres"],
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icon=folium.Icon(color="red", icon="home"),
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).add_to(m)
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auto_group = folium.FeatureGroup(name="Isochroon: 20 min auto", show=True)
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fiets_group = folium.FeatureGroup(name="Isochroon: 30 min fiets", show=True)
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super_group = MarkerCluster(name="Supermarkten", show=True)
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school_group = MarkerCluster(name="Scholen", show=True)
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voeg_isochroon_toe(auto_group, auto_iso, "Auto 20 min", "#2196F3", "Bereikbaar in 20 min (auto)")
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voeg_isochroon_toe(fiets_group, fiets_iso, "Fiets 30 min", "#2E7D32", "Bereikbaar in 30 min (fiets)")
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voeg_pois_toe(super_group, voorzieningen["supermarkten"], "orange", "shopping-cart")
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voeg_pois_toe(school_group, voorzieningen["scholen"], "purple", "graduation-cap")
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auto_group.add_to(m)
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fiets_group.add_to(m)
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super_group.add_to(m)
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school_group.add_to(m)
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folium.LayerControl(collapsed=False).add_to(m)
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all_bounds = polygon_bounds(auto_iso) + polygon_bounds(fiets_iso)
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all_bounds += [[p.lat, p.lon] for groep in voorzieningen.values() for p in groep]
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if all_bounds:
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m.fit_bounds(all_bounds)
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title_html = f'''
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<div style="position:fixed;top:10px;left:60px;z-index:1000;background:white;padding:10px 15px;border-radius:8px;box-shadow:0 2px 6px rgba(0,0,0,0.3);font-family:sans-serif;font-size:14px;line-height:1.35;">
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<b>📍 Adres Analyse</b><br>
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{locatie["adres"]}<br>
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<span style="color:#2196F3">■</span> 20 min autorijden<br>
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<span style="color:#2E7D32">■</span> 30 min fietsen<br>
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🛒 Supermarkten · 🏫 Scholen
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</div>
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'''
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m.get_root().html.add_child(folium.Element(title_html))
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m.save(output_file)
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print(f"Kaart gegenereerd: {output_file}")
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print(f"Adres: {locatie['adres']}")
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print(f"Coördinaten: {lat}, {lon}")
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print(f"Supermarkten: {len(voorzieningen['supermarkten'])}")
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print(f"Scholen: {len(voorzieningen['scholen'])}")
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if __name__ == "__main__":
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adres = sys.argv[1] if len(sys.argv) > 1 else "Griendvelden 14 Best"
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output = sys.argv[2] if len(sys.argv) > 2 else "/root/adres-analyse/kaart.html"
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genereer_kaart(adres, output)
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