import sqlalchemy as sa
from nominatim.typing import SaSelect, SaRow
-from nominatim.db.sqlalchemy_functions import CrosscheckNames
+from nominatim.db.sqlalchemy_types import Geometry
from nominatim.api.types import Point, Bbox, LookupDetails
from nominatim.api.connection import SearchConnection
from nominatim.api.logging import log
async def _finalize_entry(conn: SearchConnection, result: BaseResultT) -> None:
- assert result.address_rows
+ assert result.address_rows is not None
postcode = result.postcode
if not postcode and result.address:
postcode = result.address.get('postcode')
if not lookup_ids:
return
- ltab = sa.func.json_array_elements(sa.type_coerce(lookup_ids, sa.JSON))\
- .table_valued(sa.column('value', type_=sa.JSON)) # type: ignore[no-untyped-call]
+ ltab = sa.func.JsonArrayEach(sa.type_coerce(lookup_ids, sa.JSON))\
+ .table_valued(sa.column('value', type_=sa.JSON))
t = conn.t.placex
taddr = conn.t.addressline
.order_by('src_place_id')\
.order_by(sa.column('rank_address').desc())\
.order_by((taddr.c.place_id == ltab.c.value['pid'].as_integer()).desc())\
- .order_by(sa.case((CrosscheckNames(t.c.name, ltab.c.value['names']), 2),
+ .order_by(sa.case((sa.func.CrosscheckNames(t.c.name, ltab.c.value['names']), 2),
(taddr.c.isaddress, 0),
(sa.and_(taddr.c.fromarea,
t.c.geometry.ST_Contains(
parent_lookup_ids = list(filter(lambda e: e['pid'] != e['lid'], lookup_ids))
if parent_lookup_ids:
- ltab = sa.func.json_array_elements(sa.type_coerce(parent_lookup_ids, sa.JSON))\
- .table_valued(sa.column('value', type_=sa.JSON)) # type: ignore[no-untyped-call]
+ ltab = sa.func.JsonArrayEach(sa.type_coerce(parent_lookup_ids, sa.JSON))\
+ .table_valued(sa.column('value', type_=sa.JSON))
sql = sa.select(ltab.c.value['pid'].as_integer().label('src_place_id'),
t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
t.c.class_, t.c.type, t.c.extratags,
return sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
t.c.class_.label('class'), t.c.type,
t.c.admin_level, t.c.housenumber,
- sa.literal_column("""ST_GeometryType(geometry) in
- ('ST_Polygon','ST_MultiPolygon')""").label('fromarea'),
+ t.c.geometry.is_area().label('fromarea'),
t.c.rank_address,
- sa.literal_column(
- f"""ST_DistanceSpheroid(geometry,
- 'SRID=4326;{centroid.to_wkt()}'::geometry,
- 'SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]]')
- """).label('distance'))
+ t.c.geometry.distance_spheroid(
+ sa.bindparam('centroid', value=centroid, type_=Geometry)).label('distance'))
async def complete_linked_places(conn: SearchConnection, result: BaseResult) -> None:
sel = sa.select(t.c.word_id, t.c.word_token, t.c.word)
for name_tokens, address_tokens in await conn.execute(sql):
- for row in await conn.execute(sel.where(t.c.word_id == sa.any_(name_tokens))):
+ for row in await conn.execute(sel.where(t.c.word_id.in_(name_tokens))):
result.name_keywords.append(WordInfo(*row))
- for row in await conn.execute(sel.where(t.c.word_id == sa.any_(address_tokens))):
+ for row in await conn.execute(sel.where(t.c.word_id.in_(address_tokens))):
result.address_keywords.append(WordInfo(*row))