X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/df6eddebcd74982092477357ecf4a457a9acf561..2592bf1954021866b8bfd3d9ce76aa1cdcebf49c:/nominatim/api/search/db_searches.py?ds=inline diff --git a/nominatim/api/search/db_searches.py b/nominatim/api/search/db_searches.py index c56554fd..cc352134 100644 --- a/nominatim/api/search/db_searches.py +++ b/nominatim/api/search/db_searches.py @@ -7,11 +7,10 @@ """ 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 -from sqlalchemy.dialects.postgresql import array_agg from nominatim.typing import SaFromClause, SaScalarSelect, SaColumn, \ SaExpression, SaSelect, SaLambdaSelect, SaRow, SaBind @@ -19,7 +18,7 @@ from nominatim.api.connection import SearchConnection from nominatim.api.types import SearchDetails, DataLayer, GeometryFormat, Bbox import nominatim.api.results as nres from nominatim.api.search.db_search_fields import SearchData, WeightedCategories -from nominatim.db.sqlalchemy_types import Geometry +from nominatim.db.sqlalchemy_types import Geometry, IntArray #pylint: disable=singleton-comparison,not-callable #pylint: disable=too-many-branches,too-many-arguments,too-many-locals,too-many-statements @@ -110,7 +109,7 @@ def _add_geometry_columns(sql: SaLambdaSelect, col: SaColumn, details: SearchDet def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause, numerals: List[int], details: SearchDetails) -> SaScalarSelect: - all_ids = array_agg(table.c.place_id) # type: ignore[no-untyped-call] + all_ids = sa.func.ArrayAgg(table.c.place_id) sql = sa.select(all_ids).where(table.c.parent_place_id == inner.c.place_id) if len(numerals) == 1: @@ -134,9 +133,7 @@ def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn: orexpr.append(no_index(table.c.rank_address).between(1, 30)) elif layers & DataLayer.ADDRESS: orexpr.append(no_index(table.c.rank_address).between(1, 29)) - orexpr.append(sa.and_(no_index(table.c.rank_address) == 30, - sa.or_(table.c.housenumber != None, - table.c.address.has_key('addr:housename')))) + orexpr.append(sa.func.IsAddressPoint(table)) elif layers & DataLayer.POI: orexpr.append(sa.and_(no_index(table.c.rank_address) == 30, table.c.class_.not_in(('place', 'building')))) @@ -188,12 +185,21 @@ async def _get_placex_housenumbers(conn: SearchConnection, yield result +def _int_list_to_subquery(inp: List[int]) -> 'sa.Subquery': + """ Create a subselect that returns the given list of integers + as rows in the column 'nr'. + """ + vtab = sa.func.JsonArrayEach(sa.type_coerce(inp, sa.JSON))\ + .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() + + async def _get_osmline(conn: SearchConnection, place_ids: List[int], numerals: List[int], details: SearchDetails) -> AsyncIterator[nres.SearchResult]: t = conn.t.osmline - values = sa.values(sa.Column('nr', sa.Integer()), name='housenumber')\ - .data([(n,) for n in numerals]) + + values = _int_list_to_subquery(numerals) sql = sa.select(t.c.place_id, t.c.osm_id, t.c.parent_place_id, t.c.address, values.c.nr.label('housenumber'), @@ -216,8 +222,7 @@ async def _get_tiger(conn: SearchConnection, place_ids: List[int], numerals: List[int], osm_id: int, details: SearchDetails) -> AsyncIterator[nres.SearchResult]: t = conn.t.tiger - values = sa.values(sa.Column('nr', sa.Integer()), name='housenumber')\ - .data([(n,) for n in numerals]) + values = _int_list_to_subquery(numerals) sql = sa.select(t.c.place_id, t.c.parent_place_id, sa.literal('W').label('osm_type'), sa.literal(osm_id).label('osm_id'), @@ -573,7 +578,8 @@ class PostcodeSearch(AbstractSearch): tsearch = conn.t.search_name sql = sql.where(tsearch.c.place_id == t.c.parent_place_id)\ .where((tsearch.c.name_vector + tsearch.c.nameaddress_vector) - .contains(self.lookups[0].tokens)) + .contains(sa.type_coerce(self.lookups[0].tokens, + IntArray))) for ranking in self.rankings: penalty += ranking.sql_penalty(conn.t.search_name) @@ -650,7 +656,7 @@ class PlaceSearch(AbstractSearch): .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: @@ -692,10 +698,10 @@ class PlaceSearch(AbstractSearch): sql = sql.order_by(sa.text('accuracy')) if self.housenumbers: - hnr_regexp = f"\\m({'|'.join(self.housenumbers.values)})\\M" + hnr_list = '|'.join(self.housenumbers.values) sql = sql.where(tsearch.c.address_rank.between(16, 30))\ .where(sa.or_(tsearch.c.address_rank < 30, - t.c.housenumber.op('~*')(hnr_regexp))) + sa.func.RegexpWord(hnr_list, t.c.housenumber))) # Cross check for housenumbers, need to do that on a rather large # set. Worst case there are 40.000 main streets in OSM. @@ -703,10 +709,10 @@ class PlaceSearch(AbstractSearch): # Housenumbers from placex thnr = conn.t.placex.alias('hnr') - pid_list = array_agg(thnr.c.place_id) # type: ignore[no-untyped-call] + pid_list = sa.func.ArrayAgg(thnr.c.place_id) place_sql = sa.select(pid_list)\ .where(thnr.c.parent_place_id == inner.c.place_id)\ - .where(thnr.c.housenumber.op('~*')(hnr_regexp))\ + .where(sa.func.RegexpWord(hnr_list, thnr.c.housenumber))\ .where(thnr.c.linked_place_id == None)\ .where(thnr.c.indexed_status == 0)