Match on boundary=political

geocode/model.py

@@ -1,8 +1,9 @@
 """Database model."""
 
 import sqlalchemy
+import sqlalchemy.orm.query
 from geoalchemy2 import Geometry
-from sqlalchemy import cast, func
+from sqlalchemy import and_, cast, func, or_
 from sqlalchemy.dialects import postgresql
 from sqlalchemy.ext.declarative import declarative_base
 from sqlalchemy.ext.hybrid import hybrid_property
@@ -13,7 +14,7 @@ from sqlalchemy.types import Float, Integer, Numeric, String
 from .database import session
 
 Base = declarative_base()
-Base.query = session.query_property()
+Base.query = session.query_property()  # type:ignore
 
 
 class Polygon(Base):
@@ -23,6 +24,7 @@ class Polygon(Base):
 
     osm_id = Column(Integer, primary_key=True, autoincrement=False)
     admin_level = Column(String)
+    boundary = Column(String)
 
     way_area = Column(Float)
     tags = Column(postgresql.HSTORE)
@@ -43,15 +45,20 @@ class Polygon(Base):
     @classmethod
     def coords_within(
         cls, lat: str | float, lon: str | float
-    ) -> sqlalchemy.orm.query.Query["Polygon"]:
+    ) -> sqlalchemy.orm.query.Query:  # type: ignore
         """Polygons that contain given coordinates."""
         point = func.ST_SetSRID(func.ST_MakePoint(lon, lat), 4326)
-        q: sqlalchemy.orm.query.Query["Polygon"] = cls.query.filter(
-            cls.admin_level.isnot(None),
-            cls.admin_level.regexp_match("^\d+$"),
+        q = cls.query.filter(  # type: ignore
+            or_(
+                cls.boundary == "political",
+                and_(
+                    cls.admin_level.isnot(None),  # type: ignore
+                    cls.admin_level.regexp_match(r"^\d+$"),  # type: ignore
+                ),
+            ),
             func.ST_Within(point, cls.way),
         ).order_by(cls.area, cast(cls.admin_level, Integer).desc())
-        return q
+        return q  # type: ignore
 
 
 class Scotland(Base):

geocode/wikidata.py

@@ -107,6 +107,7 @@ def geosearch(lat: str | float, lon: str | float) -> Row | None:
         "Q5084": 1,  # hamlet
         "Q515": 2,  # city
         "Q1549591": 3,  # big city
+        "Q589282": 2,  # ward or electoral division of the United Kingdom
     }
     for row in rows:
         isa = wd_uri_to_qid(row["isa"]["value"])

lookup.py

@@ -66,7 +66,6 @@ def lat_lon_to_wikidata(lat: str | float, lon: str | float) -> dict[str, typing.
         return {"elements": elements, "result": result}
 
     admin_level = result.get("admin_level")
-    assert isinstance(admin_level, int)
 
     if not admin_level or admin_level >= 7:
         return {"elements": elements, "result": result}

templates/sparql/geosearch.sparql

@@ -1,7 +1,8 @@
 SELECT DISTINCT ?item ?distance ?itemLabel ?isa ?isaLabel ?commonsCat ?commonsSiteLink WHERE {
   {
     SELECT DISTINCT ?item ?location ?distance ?isa WHERE {
-      ?item wdt:P31/wdt:P279* wd:Q486972 .
+      VALUES ?want { wd:Q486972 wd:Q56061 }
+      ?item wdt:P31/wdt:P279* ?want .
       ?item wdt:P31 ?isa .
       SERVICE wikibase:around {
         ?item wdt:P625 ?location.