return
ltab = sa.func.JsonArrayEach(sa.type_coerce(lookup_ids, sa.JSON))\
- .table_valued(sa.column('value', type_=sa.JSON)) # type: ignore[no-untyped-call]
+ .table_valued(sa.column('value', type_=sa.JSON))
t = conn.t.placex
taddr = conn.t.addressline
parent_lookup_ids = list(filter(lambda e: e['pid'] != e['lid'], lookup_ids))
if parent_lookup_ids:
ltab = sa.func.JsonArrayEach(sa.type_coerce(parent_lookup_ids, sa.JSON))\
- .table_valued(sa.column('value', type_=sa.JSON)) # type: ignore[no-untyped-call]
+ .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,
"""
Implementation of the acutal database accesses for forward search.
"""
-from typing import List, Tuple, AsyncIterator, Dict, Any, Callable
+from typing import List, Tuple, AsyncIterator, Dict, Any, Callable, cast
import abc
import sqlalchemy as sa
as rows in the column 'nr'.
"""
vtab = sa.func.JsonArrayEach(sa.type_coerce(inp, sa.JSON))\
- .table_valued(sa.column('value', type_=sa.JSON)) # type: ignore[no-untyped-call]
+ .table_valued(sa.column('value', type_=sa.JSON))
return sa.select(sa.cast(sa.cast(vtab.c.value, sa.Text), sa.Integer).label('nr')).subquery()
.where(tpc.c.postcode.in_(pcs))\
.scalar_subquery()
penalty += sa.case((t.c.postcode.in_(pcs), 0.0),
- else_=sa.func.coalesce(pc_near, 2.0))
+ else_=sa.func.coalesce(pc_near, cast(SaColumn, 2.0)))
if details.viewbox is not None:
if details.bounded_viewbox:
inherit_cache = True
def __init__(self, table: sa.Table, geom: SaColumn) -> None:
- super().__init__(table.c.geometry, # type: ignore[no-untyped-call]
+ super().__init__(table.c.geometry,
table.c.rank_search, geom)
self.tablename = table.name
inherit_cache = True
def __init__(self, table: sa.Table) -> None:
- super().__init__(table.c.rank_address, # type: ignore[no-untyped-call]
+ super().__init__(table.c.rank_address,
table.c.housenumber, table.c.name)