1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
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()
|
