recon/lib/place_detail.py
Matt e9c9cee4f3 feat: Add wikidata lookup endpoint for place enrichment
- Add get_place_by_wikidata() to place_detail.py
- Queries Wikidata API for entity details (name, description, coords)
- Extracts population, instance_of, OSM relation ID, Wikipedia link
- Add /api/place/wikidata/<id> route to api.py

Supports Navi basemap label enrichment when OSM details unavailable.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-04-26 08:15:16 +00:00

791 lines
28 KiB
Python

"""
Place detail proxy — local Nominatim first, Overpass API fallback, SQLite cache.
Overture Maps enrichment layer fills sparse extratags (phone, website, brand).
Provides get_place_detail(osm_type, osm_id) which returns a cleaned dict
matching the response shape for /api/place/<osm_type>/<osm_id>.
"""
import json
import os
import sqlite3
import time
import requests as http_requests
from .osm_categories import humanize_category
from .utils import setup_logging
logger = setup_logging('recon.place_detail')
NOMINATIM_URL = "http://localhost:8010/details.php"
OVERPASS_URL = "https://overpass-api.de/api/interpreter"
OVERPASS_UA = "Navi/1.0 (forge.echo6.co/matt/recon)"
VALID_OSM_TYPES = {"N", "W", "R"}
_db_conn = None
# ── SQLite cache ────────────────────────────────────────────────────────
def _get_db():
"""Return a module-level SQLite connection (lazy init)."""
global _db_conn
if _db_conn is not None:
return _db_conn
db_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), 'data')
os.makedirs(db_dir, exist_ok=True)
db_path = os.path.join(db_dir, 'place_cache.db')
_db_conn = sqlite3.connect(db_path, check_same_thread=False)
_db_conn.execute("PRAGMA journal_mode=WAL")
_db_conn.execute("PRAGMA synchronous=NORMAL")
_db_conn.execute("""
CREATE TABLE IF NOT EXISTS place_cache (
osm_type TEXT NOT NULL,
osm_id INTEGER NOT NULL,
data TEXT NOT NULL,
source TEXT NOT NULL,
cached_at INTEGER NOT NULL,
PRIMARY KEY (osm_type, osm_id)
)
""")
_db_conn.commit()
logger.info(f"Place cache DB ready at {db_path}")
return _db_conn
def cache_get(osm_type, osm_id):
"""Return cached place dict or None."""
db = _get_db()
row = db.execute(
"SELECT data FROM place_cache WHERE osm_type=? AND osm_id=?",
(osm_type, osm_id)
).fetchone()
if row:
try:
result = json.loads(row[0])
result['source'] = 'cache'
return result
except (json.JSONDecodeError, TypeError):
pass
return None
def cache_put(osm_type, osm_id, data, source):
"""Store a place detail result in the cache (preserves google columns)."""
db = _get_db()
now = int(time.time())
db.execute("""
INSERT INTO place_cache (osm_type, osm_id, data, source, cached_at)
VALUES (?, ?, ?, ?, ?)
ON CONFLICT(osm_type, osm_id) DO UPDATE SET
data = excluded.data,
source = excluded.source,
cached_at = excluded.cached_at
""", (osm_type, osm_id, json.dumps(data), source, now))
db.commit()
# ── Overture enrichment ─────────────────────────────────────────────────
def _enrich_with_overture(result, osm_type, osm_id):
"""
Attempt to enrich a place result with Overture Maps data.
Fills sparse extratags (phone, website, brand) without overwriting existing values.
Returns the (possibly enriched) result dict.
"""
try:
from .deployment_config import get_deployment_config
deploy_config = get_deployment_config()
features = deploy_config.get('features', {})
if not features.get('has_overture_enrichment', False):
return result
except Exception:
return result
try:
from .overture import find_by_osm_id, find_by_coords_and_name
except ImportError:
logger.debug("Overture module not available")
return result
enrichment = None
match_method = None
# Strategy 1: OSM cross-reference (exact)
enrichment = find_by_osm_id(osm_type, osm_id)
if enrichment:
match_method = 'osm_xref'
# Strategy 2: Coordinate + name fuzzy (fallback)
if not enrichment and result.get('centroid') and result.get('name'):
centroid = result['centroid']
if centroid.get('lat') and centroid.get('lon'):
enrichment = find_by_coords_and_name(
centroid['lat'], centroid['lon'], result['name']
)
if enrichment:
match_method = 'coord_name_fuzzy'
if not enrichment:
return result
# Fill sparse extratags (never overwrite existing non-null values)
extratags = result.get('extratags', {})
fill_map = [
('phone', 'phone'),
('website', 'website'),
('brand', 'brand_name'),
('brand:wikidata', 'brand_wikidata'),
]
for osm_key, overture_key in fill_map:
if not extratags.get(osm_key) and enrichment.get(overture_key):
extratags[osm_key] = enrichment[overture_key]
result['extratags'] = extratags
# Add source metadata
result['sources'] = {
'primary': result.get('source', 'unknown'),
'enrichment': 'overture',
'overture_match_method': match_method,
'overture_gers_id': enrichment.get('gers_id'),
'overture_confidence': enrichment.get('confidence'),
'overture_basic_category': enrichment.get('basic_category'),
}
logger.debug(f"Overture enrichment for {osm_type}/{osm_id}: {match_method}")
return result
# ── Google Places enrichment (tertiary, gap-fill only) ──────────────
# Business POI classes eligible for Google enrichment
_BUSINESS_CLASSES = {'amenity', 'shop', 'tourism', 'leisure', 'office', 'craft'}
# Fields Google can fill
_GOOGLE_GAP_FIELDS = ('opening_hours', 'phone', 'website')
def _enrich_with_google(result, osm_type, osm_id):
"""
Tertiary enrichment via Google Places (New) API.
Only fires for business-type POIs when opening_hours, phone, or website
are still missing after OSM + Overture enrichment.
Fills only empty fields — never overwrites existing values.
"""
# Check feature flag
try:
from .deployment_config import get_deployment_config
deploy_config = get_deployment_config()
features = deploy_config.get('features', {})
if not features.get('has_google_places_enrichment', False):
return result
except Exception:
return result
# Only enrich business-type POIs
poi_class = result.get('class', '')
if poi_class not in _BUSINESS_CLASSES:
return result
# Check if any gap fields are missing
extratags = result.get('extratags', {})
gaps = [f for f in _GOOGLE_GAP_FIELDS if not extratags.get(f)]
if not gaps:
logger.debug(f"google_places: skip {osm_type}/{osm_id} — no gaps")
return result
try:
from . import google_places
except ImportError:
logger.debug("google_places module not available")
return result
# Check Google cache first
cached_pid, cached_data = google_places.cache_get_google(osm_type, osm_id)
if cached_pid and cached_data:
_apply_google_data(result, cached_data, gaps)
result.setdefault('sources', {})['google_places'] = {
'place_id': cached_pid,
'source': 'cache',
}
logger.debug(f"google_places: cache hit for {osm_type}/{osm_id}")
return result
# Skip if already looked up and found nothing (cached_pid is None)
if cached_pid is not None:
return result
# Skip new Google API calls for guest users (cached data already returned above)
from .auth import get_user_id
if not get_user_id():
logger.debug(f"google_places: skip API call for {osm_type}/{osm_id} — guest user")
return result
# Daily cap check
if not google_places.check_daily_cap():
return result
# Search for the place
name = result.get('name', '')
centroid = result.get('centroid', {})
lat = centroid.get('lat')
lon = centroid.get('lon')
if not name or not lat or not lon:
return result
place_id = google_places.search_place(name, lat, lon)
if not place_id:
# Cache the miss to avoid repeated lookups
google_places.cache_put_google(osm_type, osm_id, '__miss__', None)
return result
# Get details
details = google_places.get_place_details(place_id)
if not details:
google_places.cache_put_google(osm_type, osm_id, place_id, None)
return result
# Cache the result
google_places.cache_put_google(osm_type, osm_id, place_id, details)
# Apply to result
_apply_google_data(result, details, gaps)
result.setdefault('sources', {})['google_places'] = {
'place_id': place_id,
'source': 'api',
'daily_count': google_places.get_daily_count(),
}
return result
def _apply_google_data(result, google_data, gaps):
"""Apply Google Places data to fill gap fields only."""
extratags = result.get('extratags', {})
if 'opening_hours' in gaps:
osm_hours = google_data.get('opening_hours')
if osm_hours:
extratags['opening_hours'] = osm_hours
elif google_data.get('opening_hours_raw'):
extratags['opening_hours_raw'] = google_data['opening_hours_raw']
if 'phone' in gaps and google_data.get('phone_number'):
extratags['phone'] = google_data['phone_number']
if 'website' in gaps and google_data.get('website'):
extratags['website'] = google_data['website']
result['extratags'] = extratags
# ── Wiki link rewriting ─────────────────────────────────────────────────
# Extratag keys that may contain wiki references
_WIKI_TAGS = ('wikipedia', 'wikidata', 'wikivoyage', 'appropedia')
def _enrich_wiki_links(result):
"""
Rewrite wiki-related extratags to local Kiwix URLs where available.
Falls back to public URLs. Only runs when has_wiki_rewriting is enabled.
Returns the (possibly enriched) result dict.
"""
try:
from .deployment_config import get_deployment_config
deploy_config = get_deployment_config()
features = deploy_config.get('features', {})
if not features.get('has_wiki_rewriting', False):
return result
except Exception:
return result
try:
from .wiki_rewrite import rewrite_wiki_link
except ImportError:
logger.debug("wiki_rewrite module not available")
return result
extratags = result.get('extratags', {})
if not extratags:
return result
rewrites = {}
for tag in _WIKI_TAGS:
value = extratags.get(tag)
if not value:
continue
url, status = rewrite_wiki_link(tag, value)
if status != 'original':
extratags[tag] = url
rewrites[tag] = status
if rewrites:
result['extratags'] = extratags
result.setdefault('sources', {})['wiki_rewrites'] = rewrites
logger.debug(f"Wiki rewrites for {result.get('osm_type')}/{result.get('osm_id')}: {rewrites}")
return result
# ── Nominatim parsing ───────────────────────────────────────────────────
# Nominatim address array uses rank_address to indicate what each entry is.
# We map rank ranges to our flat address fields.
RANK_TO_FIELD = {
4: 'country',
5: 'postcode',
6: 'state', # rank 6 = county in US, but we try name matching
8: 'state',
12: 'county',
16: 'city',
20: 'neighbourhood',
22: 'neighbourhood',
26: 'road',
28: 'house_number',
}
def _parse_nominatim_address(address_array, country_code=None):
"""Parse Nominatim's ranked address array into a flat address dict."""
addr = {
'house_number': None,
'road': None,
'neighbourhood': None,
'city': None,
'county': None,
'state': None,
'postcode': None,
'country': None,
'country_code': country_code,
}
if not address_array:
return addr
for entry in address_array:
if not entry.get('isaddress', False):
continue
name = entry.get('localname', '')
rank = entry.get('rank_address', 0)
etype = entry.get('type', '')
eclass = entry.get('class', '')
# Explicit type-based assignments (more reliable than rank alone)
if etype == 'country' and eclass == 'place':
addr['country'] = name
elif etype == 'state' or (eclass == 'boundary' and etype == 'administrative' and rank == 8):
if not addr['state']:
addr['state'] = name
elif etype == 'county' or (eclass == 'boundary' and etype == 'administrative' and rank in (10, 12)):
if not addr['county']:
addr['county'] = name
elif etype in ('city', 'town', 'village', 'hamlet') and eclass == 'place':
if not addr['city']:
addr['city'] = name
elif eclass == 'boundary' and etype == 'administrative' and rank == 16:
# City-level admin boundary (common in US)
if not addr['city']:
addr['city'] = name
elif etype == 'postcode':
addr['postcode'] = name
elif eclass == 'highway' or rank == 26:
if not addr['road']:
addr['road'] = name
elif etype == 'house_number' or rank == 28:
addr['house_number'] = name
elif rank in (20, 22) and not addr['neighbourhood']:
addr['neighbourhood'] = name
# Remove county from output (not in spec)
addr.pop('county', None)
return addr
def _parse_nominatim(data):
"""Parse a Nominatim /details response into our canonical shape."""
osm_type = data.get('osm_type', '')
osm_id = data.get('osm_id', 0)
osm_class = data.get('category', '')
osm_type_tag = data.get('type', '')
# Centroid
centroid_geom = data.get('centroid', {})
coords = centroid_geom.get('coordinates', [0, 0])
centroid = {'lat': coords[1], 'lon': coords[0]} if len(coords) >= 2 else {'lat': 0, 'lon': 0}
# Names
names = data.get('names', {})
display_name = data.get('localname', '') or names.get('name', '')
# Address
address = _parse_nominatim_address(
data.get('address', []),
country_code=data.get('country_code')
)
# Use calculated_postcode if address parse didn't find one
if not address.get('postcode') and data.get('calculated_postcode'):
address['postcode'] = data['calculated_postcode']
# Extratags
raw_extra = data.get('extratags', {})
extratags = {
'opening_hours': raw_extra.get('opening_hours'),
'phone': raw_extra.get('phone') or raw_extra.get('contact:phone'),
'website': raw_extra.get('website') or raw_extra.get('contact:website') or raw_extra.get('url'),
'email': raw_extra.get('email') or raw_extra.get('contact:email'),
'wikipedia': raw_extra.get('wikipedia'),
'wikidata': raw_extra.get('wikidata'),
'cuisine': raw_extra.get('cuisine'),
'operator': raw_extra.get('operator'),
'wheelchair': raw_extra.get('wheelchair'),
'fee': raw_extra.get('fee'),
'takeaway': raw_extra.get('takeaway'),
}
# Category: use extratags.place for boundaries (e.g. "city"), else class/type
effective_class = osm_class
effective_type = osm_type_tag
if osm_class == 'boundary' and osm_type_tag == 'administrative':
place_tag = raw_extra.get('place') or raw_extra.get('linked_place')
if place_tag:
effective_class = 'place'
effective_type = place_tag
category = humanize_category(effective_class, effective_type)
# Filter names: only include extra name tags, not the bare "name"
extra_names = {k: v for k, v in names.items() if k != 'name'} if names else {}
return {
'osm_type': osm_type,
'osm_id': osm_id,
'name': display_name,
'category': category,
'class': osm_class,
'type': osm_type_tag,
'address': address,
'centroid': centroid,
'extratags': extratags,
'names': extra_names if extra_names else None,
'source': 'nominatim_local',
}
# ── Overpass parsing ────────────────────────────────────────────────────
OVERPASS_TYPE_MAP = {'N': 'node', 'W': 'way', 'R': 'relation'}
def _build_overpass_query(osm_type, osm_id):
"""Build an Overpass QL query for a single element."""
elem = OVERPASS_TYPE_MAP.get(osm_type)
if not elem:
return None
return f"[out:json][timeout:10];{elem}({osm_id});out tags center;"
def _parse_overpass(data, osm_type, osm_id):
"""Parse an Overpass API response into our canonical shape."""
elements = data.get('elements', [])
if not elements:
return None
elem = elements[0]
tags = elem.get('tags', {})
# Centroid: Overpass returns lat/lon for nodes, center for ways/relations
lat = elem.get('lat') or (elem.get('center', {}).get('lat'))
lon = elem.get('lon') or (elem.get('center', {}).get('lon'))
centroid = {'lat': lat, 'lon': lon} if lat and lon else {'lat': 0, 'lon': 0}
# Determine class/type from tags — Overpass doesn't have a canonical class field
# Use the first recognized class tag
osm_class = ''
osm_type_tag = ''
for cls in ('amenity', 'shop', 'leisure', 'tourism', 'natural', 'highway',
'boundary', 'place', 'building', 'waterway', 'landuse', 'historic'):
if cls in tags:
osm_class = cls
osm_type_tag = tags[cls]
break
category = humanize_category(osm_class, osm_type_tag)
# Address from addr:* tags
address = {
'house_number': tags.get('addr:housenumber'),
'road': tags.get('addr:street'),
'neighbourhood': tags.get('addr:suburb') or tags.get('addr:neighbourhood'),
'city': tags.get('addr:city'),
'state': tags.get('addr:state'),
'postcode': tags.get('addr:postcode'),
'country': tags.get('addr:country'),
'country_code': tags.get('addr:country_code',
tags.get('addr:country', '')).lower()[:2] or None,
}
# Extratags
extratags = {
'opening_hours': tags.get('opening_hours'),
'phone': tags.get('phone') or tags.get('contact:phone'),
'website': tags.get('website') or tags.get('contact:website') or tags.get('url'),
'email': tags.get('email') or tags.get('contact:email'),
'wikipedia': tags.get('wikipedia'),
'wikidata': tags.get('wikidata'),
'cuisine': tags.get('cuisine'),
'operator': tags.get('operator'),
'wheelchair': tags.get('wheelchair'),
'fee': tags.get('fee'),
'takeaway': tags.get('takeaway'),
}
# Names
name = tags.get('name', '')
extra_names = {}
for k, v in tags.items():
if k.startswith('name:') or k in ('alt_name', 'old_name', 'short_name', 'official_name'):
extra_names[k] = v
return {
'osm_type': osm_type,
'osm_id': osm_id,
'name': name,
'category': category,
'class': osm_class,
'type': osm_type_tag,
'address': address,
'centroid': centroid,
'extratags': extratags,
'names': extra_names if extra_names else None,
'source': 'overpass',
}
# ── Public API ──────────────────────────────────────────────────────────
def get_place_detail(osm_type, osm_id):
"""
Fetch place details for an OSM element.
Returns (dict, status_code):
- (data, 200) on success
- (error_dict, 404) if not found in any source
- (error_dict, 502) if both sources error
"""
osm_type = osm_type.upper()
if osm_type not in VALID_OSM_TYPES:
return {'error': f'Invalid osm_type: {osm_type}. Must be N, W, or R.'}, 400
if osm_id <= 0:
return {'error': 'osm_id must be a positive integer'}, 400
# 1. Check cache
cached = cache_get(osm_type, osm_id)
if cached:
logger.debug(f"Cache hit: {osm_type}/{osm_id}")
return cached, 200
# 2. Try local Nominatim first
nominatim_result = None
nominatim_error = None
try:
resp = http_requests.get(NOMINATIM_URL, params={
'osmtype': osm_type,
'osmid': osm_id,
'format': 'json',
'addressdetails': 1,
'hierarchy': 0,
'keywords': 0,
}, timeout=5)
if resp.status_code == 200:
data = resp.json()
# Nominatim returns a result even for IDs not in its DB,
# but they'll have empty/minimal data. Check for osm_id match.
if data.get('osm_id') == osm_id:
nominatim_result = _parse_nominatim(data)
logger.debug(f"Nominatim hit: {osm_type}/{osm_id}")
except Exception as e:
nominatim_error = str(e)
logger.warning(f"Nominatim error for {osm_type}/{osm_id}: {e}")
if nominatim_result:
nominatim_result = _enrich_with_overture(nominatim_result, osm_type, osm_id)
nominatim_result = _enrich_with_google(nominatim_result, osm_type, osm_id)
nominatim_result = _enrich_wiki_links(nominatim_result)
cache_put(osm_type, osm_id, nominatim_result, 'nominatim_local')
return nominatim_result, 200
# 3. Fallback to Overpass
overpass_result = None
overpass_error = None
try:
query = _build_overpass_query(osm_type, osm_id)
if query:
resp = http_requests.post(
OVERPASS_URL,
data={'data': query},
headers={'User-Agent': OVERPASS_UA},
timeout=10,
)
if resp.status_code == 200:
data = resp.json()
overpass_result = _parse_overpass(data, osm_type, osm_id)
if overpass_result:
logger.debug(f"Overpass hit: {osm_type}/{osm_id}")
elif resp.status_code == 429:
overpass_error = "Overpass rate limited"
logger.warning(f"Overpass 429 for {osm_type}/{osm_id}")
else:
overpass_error = f"Overpass HTTP {resp.status_code}"
except Exception as e:
overpass_error = str(e)
logger.warning(f"Overpass error for {osm_type}/{osm_id}: {e}")
if overpass_result:
overpass_result = _enrich_with_overture(overpass_result, osm_type, osm_id)
overpass_result = _enrich_with_google(overpass_result, osm_type, osm_id)
overpass_result = _enrich_wiki_links(overpass_result)
cache_put(osm_type, osm_id, overpass_result, 'overpass')
return overpass_result, 200
# 4. Both failed
if nominatim_error and overpass_error:
logger.error(f"Both sources failed for {osm_type}/{osm_id}: "
f"Nominatim={nominatim_error}, Overpass={overpass_error}")
return {'error': 'Both data sources unavailable'}, 502
# Not found in either source (no errors, just empty results)
return {'error': f'{osm_type}/{osm_id} not found'}, 404
# ── Wikidata lookup ─────────────────────────────────────────────────────
WIKIDATA_API_URL = "https://www.wikidata.org/w/api.php"
def get_place_by_wikidata(wikidata_id):
"""
Fetch place details from Wikidata entity.
Returns (dict, status_code):
- (data, 200) on success
- (error_dict, 404) if entity not found
- (error_dict, 400) if invalid ID format
- (error_dict, 502) on API error
"""
# Validate wikidata ID format (Q followed by digits)
wikidata_id = wikidata_id.upper().strip()
if not wikidata_id.startswith("Q") or not wikidata_id[1:].isdigit():
return {"error": f"Invalid wikidata ID: {wikidata_id}. Must be Q followed by digits."}, 400
try:
resp = http_requests.get(WIKIDATA_API_URL, params={
"action": "wbgetentities",
"ids": wikidata_id,
"format": "json",
"languages": "en",
"props": "labels|descriptions|claims|sitelinks",
}, timeout=10, headers={"User-Agent": "Navi/1.0 (forge.echo6.co/matt/recon)"})
if resp.status_code != 200:
logger.warning(f"Wikidata API error for {wikidata_id}: HTTP {resp.status_code}")
return {"error": "Wikidata API error"}, 502
data = resp.json()
entities = data.get("entities", {})
entity = entities.get(wikidata_id)
if not entity or entity.get("missing"):
return {"error": f"Wikidata entity {wikidata_id} not found"}, 404
# Extract basic info
labels = entity.get("labels", {})
descriptions = entity.get("descriptions", {})
claims = entity.get("claims", {})
name = labels.get("en", {}).get("value", wikidata_id)
description = descriptions.get("en", {}).get("value", "")
# Extract coordinates from P625 (coordinate location)
lat, lon = None, None
if "P625" in claims:
coord_claim = claims["P625"]
if coord_claim and coord_claim[0].get("mainsnak", {}).get("datavalue"):
coord_val = coord_claim[0]["mainsnak"]["datavalue"]["value"]
lat = coord_val.get("latitude")
lon = coord_val.get("longitude")
# Extract population from P1082
population = None
if "P1082" in claims:
pop_claims = claims["P1082"]
if pop_claims:
# Get the most recent population value
for claim in pop_claims:
if claim.get("mainsnak", {}).get("datavalue"):
try:
population = int(claim["mainsnak"]["datavalue"]["value"]["amount"].lstrip("+"))
break
except (KeyError, ValueError):
pass
# Extract country from P17
country = None
if "P17" in claims:
country_claims = claims["P17"]
if country_claims and country_claims[0].get("mainsnak", {}).get("datavalue"):
country_id = country_claims[0]["mainsnak"]["datavalue"]["value"]["id"]
# Could resolve this to a name, but for now just store the ID
# Extract instance of (P31) for type classification
instance_of = []
if "P31" in claims:
for claim in claims["P31"]:
if claim.get("mainsnak", {}).get("datavalue"):
instance_of.append(claim["mainsnak"]["datavalue"]["value"]["id"])
# Extract OSM relation ID if available (P402)
osm_relation_id = None
if "P402" in claims:
osm_claims = claims["P402"]
if osm_claims and osm_claims[0].get("mainsnak", {}).get("datavalue"):
osm_relation_id = osm_claims[0]["mainsnak"]["datavalue"]["value"]
# Extract Wikipedia sitelink
sitelinks = entity.get("sitelinks", {})
wikipedia = None
if "enwiki" in sitelinks:
wiki_title = sitelinks["enwiki"].get("title", "")
if wiki_title:
wikipedia = f"en:{wiki_title}"
result = {
"wikidata_id": wikidata_id,
"name": name,
"description": description,
"centroid": {"lat": lat, "lon": lon} if lat and lon else None,
"population": population,
"instance_of": instance_of,
"osm_relation_id": osm_relation_id,
"source": "wikidata",
"extratags": {
"wikidata": wikidata_id,
},
}
if wikipedia:
result["extratags"]["wikipedia"] = wikipedia
# If we have an OSM relation ID, we could optionally fetch more details
# from get_place_detail, but that would add latency
logger.debug(f"Wikidata hit: {wikidata_id} -> {name}")
return result, 200
except Exception as e:
logger.warning(f"Wikidata error for {wikidata_id}: {e}")
return {"error": "Wikidata lookup failed"}, 502