parks: アイコン・フィルタ・編集画面を更新し、公開を一時停止

- 遊具アイコンをSVGRepo素材に差し替え、施設種別をアイコン表示
- フィルタに種類・遊具・ピクニックを追加し、適用時の地図移動を停止
- 現在地ボタンを追跡トグルに変更し、初回以外は地図を動かさない
- 編集画面を市内公園・周辺公園・公共施設の4タブに拡張
- 公園ページをドラフト化し、サイドバーとPWAの公開を停止

1 files changed, 179 insertions, 0 deletions

diff --git a/scripts/update-nearby-facilities.py b/scripts/update-nearby-facilities.py
new file mode 100644
index 0000000..dcef5d6
--- /dev/null
+++ b/scripts/update-nearby-facilities.py
@@ -0,0 +1,179 @@
+#!/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 main():
+    print("Overpass API から近隣施設を取得中...")
+    elements = fetch_overpass()
+
+    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(),
+                "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()