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#!/usr/bin/env python3
"""小平市の境界から500m以内にある近隣市の公共施設をOpenStreetMapから抽出する。
使い方:
py -X utf8 scripts/update-nearby-facilities.py
出力:
src/data/kodaira-nearby-facilities.json
対象: amenity=library / community_centre / townhall / arts_centre / theatre
小平市内の施設は kodaira-facilities.json 側にあるため除外する。
"""
import importlib.util
import json
import os
import urllib.parse
import urllib.request
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
OUT = os.path.join(ROOT, "src", "data", "kodaira-nearby-facilities.json")
MAX_DIST_M = 500.0
BBOX = (35.68, 139.39, 35.76, 139.56)
AMENITIES = "library|community_centre|townhall|arts_centre|theatre"
EXCLUDE_NAME_PARTS = ("付属図書館", "コミュニティ サロン")
ENDPOINTS = [
"https://overpass-api.de/api/interpreter",
"https://overpass.kumi.systems/api/interpreter",
"https://overpass.private.coffee/api/interpreter",
]
def load_module(path, name):
spec = importlib.util.spec_from_file_location(name, path)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
def fetch_overpass():
south, west, north, east = BBOX
query = (
"[out:json][timeout:180];"
"("
f'node["amenity"~"{AMENITIES}"]({south},{west},{north},{east});'
f'way["amenity"~"{AMENITIES}"]({south},{west},{north},{east});'
f'relation["amenity"~"{AMENITIES}"]({south},{west},{north},{east});'
");"
"out tags center;"
)
last_err = None
for endpoint in ENDPOINTS:
for attempt in range(2):
try:
req = urllib.request.Request(
endpoint,
data=query.encode("utf-8"),
headers={"User-Agent": "kodaira-nearby-facilities/1.0 (yasutakeyohei.com)"},
)
with urllib.request.urlopen(req, timeout=240) as res:
data = json.load(res)
if "elements" not in data:
raise ValueError("レスポンスに elements がありません")
print(f" {endpoint} から {len(data['elements'])} 件取得")
return data["elements"]
except Exception as exc: # noqa: BLE001
last_err = exc
print(f" {endpoint} 失敗 ({attempt + 1}/2): {exc}")
raise SystemExit(f"Overpass APIの取得に失敗しました（出力は作成していません）: {last_err}")
def facility_type(tags):
amenity = tags.get("amenity", "")
name = tags.get("name", "")
if amenity == "library":
return "図書館"
if amenity == "community_centre":
return "児童館" if "児童館" in name else "公民館"
if amenity == "townhall":
return "市役所支所"
if amenity in ("arts_centre", "theatre"):
return "文化施設"
return ""
def address_of(tags):
full = (tags.get("addr:full") or "").strip()
if full:
return full
city = (tags.get("addr:city") or "").strip()
neighbourhood = (
tags.get("addr:neighbourhood")
or tags.get("addr:suburb")
or tags.get("addr:quarter")
or ""
).strip()
street = (tags.get("addr:street") or "").strip()
block = (tags.get("addr:block_number") or "").strip()
number = (tags.get("addr:housenumber") or "").strip()
if block and number:
lot = f"{block}-{number}"
else:
lot = block or number
if street:
return f"{city}{street}{lot}"
if neighbourhood:
return f"{city}{neighbourhood}{lot}"
# 町名がない番地だけでは住所にならないため、市区町村だけにする。
return city
def existing_cities():
"""前回の出力に手動で補完した city を保持する。"""
if not os.path.exists(OUT):
return {}
try:
data = json.load(open(OUT, encoding="utf-8"))
except (OSError, ValueError):
return {}
result = {}
for item in data:
key = (item.get("osm_type"), item.get("osm_id"))
city = (item.get("city") or "").strip()
if city:
result[key] = city
return result
def main():
print("Overpass API から近隣施設を取得中...")
elements = fetch_overpass()
city_by_key = existing_cities()
np = load_module(os.path.join(ROOT, "scripts", "update-nearby-parks.py"), "nearby_parks")
boundary_ll = np.load_boundary()
lons = [lon for polygon in boundary_ll for ring in polygon for lon, _ in ring]
lats = [lat for polygon in boundary_ll for ring in polygon for _, lat in ring]
to_xy = np.projector(sum(lats) / len(lats), sum(lons) / len(lons))
boundary_xy = [
[[to_xy(lon, lat) for lon, lat in ring] for ring in polygon]
for polygon in boundary_ll
]
boundary = np.BoundaryIndex(boundary_xy)
features = []
for el in elements:
tags = el.get("tags") or {}
name = (tags.get("name") or "").strip()
if not name:
continue
if any(part in name for part in EXCLUDE_NAME_PARTS):
continue
kind = facility_type(tags)
if not kind:
continue
center = el.get("center") or {}
lat = el.get("lat", center.get("lat"))
lon = el.get("lon", center.get("lon"))
if lat is None or lon is None:
continue
x, y = to_xy(lon, lat)
if boundary.contains(x, y):
continue
distance = boundary.min_distance([(x, y)])
if distance > MAX_DIST_M:
continue
features.append(
{
"name": name,
"type": kind,
"address": address_of(tags),
"hours": (tags.get("opening_hours") or "").strip(),
"closed": "",
"toilet": "未確認",
"water": "未確認",
"note": f"市外・小平市境から約{int(round(distance))}m（OpenStreetMap）",
"source": f"https://www.openstreetmap.org/{el.get('type')}/{el.get('id')}",
"lat": lat,
"lon": lon,
"geocode": "OSM",
"city": (tags.get("addr:city") or "").strip()
or city_by_key.get((el.get("type"), el.get("id")), ""),
"distance_m": int(round(distance)),
"osm_type": el.get("type"),
"osm_id": el.get("id"),
"nearby": True,
}
)
features.sort(key=lambda f: (f["distance_m"], f["name"]))
with open(OUT, "w", encoding="utf-8") as fh:
json.dump(features, fh, ensure_ascii=False, indent=2)
fh.write("\n")
print(f"nearby facilities {len(features)} -> {OUT}")
if __name__ == "__main__":
main()
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