from nominatim.api.logging import log
from nominatim.api.types import AnyPoint, DataLayer, ReverseDetails, GeometryFormat, Bbox
from nominatim.db.sqlalchemy_types import Geometry
-import nominatim.db.sqlalchemy_functions as snfn
# In SQLAlchemy expression which compare with NULL need to be expressed with
# the equal sign.
t.c.importance, t.c.wikipedia,
t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
centroid,
+ t.c.linked_place_id, t.c.admin_level,
distance.label('distance'),
t.c.geometry.ST_Expand(0).label('bbox'))
else_=0).label('position')
-def _is_address_point(table: SaFromClause) -> SaColumn:
- return sa.and_(table.c.rank_address == 30,
- sa.or_(table.c.housenumber != None,
- table.c.name.has_key('addr:housename')))
-
-
def _get_closest(*rows: Optional[SaRow]) -> Optional[SaRow]:
return min(rows, key=lambda row: 1000 if row is None else row.distance)
col = sa.func.ST_SimplifyPreserveTopology(col, self.params.geometry_simplification)
if self.params.geometry_output & GeometryFormat.GEOJSON:
- out.append(sa.func.ST_AsGeoJSON(col).label('geometry_geojson'))
+ out.append(sa.func.ST_AsGeoJSON(col, 7).label('geometry_geojson'))
if self.params.geometry_output & GeometryFormat.TEXT:
out.append(sa.func.ST_AsText(col).label('geometry_text'))
if self.params.geometry_output & GeometryFormat.KML:
- out.append(sa.func.ST_AsKML(col).label('geometry_kml'))
+ out.append(sa.func.ST_AsKML(col, 7).label('geometry_kml'))
if self.params.geometry_output & GeometryFormat.SVG:
- out.append(sa.func.ST_AsSVG(col).label('geometry_svg'))
+ out.append(sa.func.ST_AsSVG(col, 0, 7).label('geometry_svg'))
return sql.add_columns(*out)
t = self.conn.t.placex
# PostgreSQL must not get the distance as a parameter because
- # there is a danger it won't be able to proberly estimate index use
+ # there is a danger it won't be able to properly estimate index use
# when used with prepared statements
diststr = sa.text(f"{distance}")
sql: SaLambdaSelect = sa.lambda_stmt(lambda: _select_from_placex(t)
- .where(t.c.geometry.ST_DWithin(WKT_PARAM, diststr))
+ .where(t.c.geometry.within_distance(WKT_PARAM, diststr))
.where(t.c.indexed_status == 0)
.where(t.c.linked_place_id == None)
.where(sa.or_(sa.not_(t.c.geometry.is_area()),
t.c.centroid.ST_Distance(WKT_PARAM) < diststr))
.order_by('distance')
- .limit(1))
+ .limit(2))
if self.has_geometries():
sql = self._add_geometry_columns(sql, t.c.geometry)
max_rank = min(29, self.max_rank)
restrict.append(lambda: no_index(t.c.rank_address).between(26, max_rank))
if self.max_rank == 30:
- restrict.append(lambda: _is_address_point(t))
+ restrict.append(lambda: sa.func.IsAddressPoint(t))
if self.layer_enabled(DataLayer.POI) and self.max_rank == 30:
restrict.append(lambda: sa.and_(no_index(t.c.rank_search) == 30,
t.c.class_.not_in(('place', 'building')),
sql = sql.where(sa.or_(*restrict))
- return (await self.conn.execute(sql, self.bind_params)).one_or_none()
+ # If the closest object is inside an area, then check if there is a
+ # POI node nearby and return that.
+ prev_row = None
+ for row in await self.conn.execute(sql, self.bind_params):
+ if prev_row is None:
+ if row.rank_search <= 27 or row.osm_type == 'N' or row.distance > 0:
+ return row
+ prev_row = row
+ else:
+ if row.rank_search > 27 and row.osm_type == 'N'\
+ and row.distance < 0.0001:
+ return row
+
+ return prev_row
async def _find_housenumber_for_street(self, parent_place_id: int) -> Optional[SaRow]:
t = self.conn.t.placex
- sql: SaLambdaSelect = sa.lambda_stmt(lambda: _select_from_placex(t)
- .where(t.c.geometry.ST_DWithin(WKT_PARAM, 0.001))
- .where(t.c.parent_place_id == parent_place_id)
- .where(_is_address_point(t))
- .where(t.c.indexed_status == 0)
- .where(t.c.linked_place_id == None)
- .order_by('distance')
- .limit(1))
-
+ def _base_query() -> SaSelect:
+ return _select_from_placex(t)\
+ .where(t.c.geometry.within_distance(WKT_PARAM, 0.001))\
+ .where(t.c.parent_place_id == parent_place_id)\
+ .where(sa.func.IsAddressPoint(t))\
+ .where(t.c.indexed_status == 0)\
+ .where(t.c.linked_place_id == None)\
+ .order_by('distance')\
+ .limit(1)
+
+ sql: SaLambdaSelect
if self.has_geometries():
- sql = self._add_geometry_columns(sql, t.c.geometry)
+ sql = self._add_geometry_columns(_base_query(), t.c.geometry)
+ else:
+ sql = sa.lambda_stmt(_base_query)
return (await self.conn.execute(sql, self.bind_params)).one_or_none()
distance: float) -> Optional[SaRow]:
t = self.conn.t.osmline
- sql: Any = sa.lambda_stmt(lambda:
- sa.select(t,
- t.c.linegeo.ST_Distance(WKT_PARAM).label('distance'),
- _locate_interpolation(t))
- .where(t.c.linegeo.ST_DWithin(WKT_PARAM, distance))
- .where(t.c.startnumber != None)
- .order_by('distance')
- .limit(1))
+ sql = sa.select(t,
+ t.c.linegeo.ST_Distance(WKT_PARAM).label('distance'),
+ _locate_interpolation(t))\
+ .where(t.c.linegeo.within_distance(WKT_PARAM, distance))\
+ .where(t.c.startnumber != None)\
+ .order_by('distance')\
+ .limit(1)
if parent_place_id is not None:
- sql += lambda s: s.where(t.c.parent_place_id == parent_place_id)
+ sql = sql.where(t.c.parent_place_id == parent_place_id)
- def _wrap_query(base_sql: SaLambdaSelect) -> SaSelect:
- inner = base_sql.subquery('ipol')
+ inner = sql.subquery('ipol')
- return sa.select(inner.c.place_id, inner.c.osm_id,
+ sql = sa.select(inner.c.place_id, inner.c.osm_id,
inner.c.parent_place_id, inner.c.address,
_interpolated_housenumber(inner),
_interpolated_position(inner),
inner.c.postcode, inner.c.country_code,
inner.c.distance)
- sql += _wrap_query
-
if self.has_geometries():
sub = sql.subquery('geom')
sql = self._add_geometry_columns(sa.select(sub), sub.c.centroid)
inner = sa.select(t,
t.c.linegeo.ST_Distance(WKT_PARAM).label('distance'),
_locate_interpolation(t))\
- .where(t.c.linegeo.ST_DWithin(WKT_PARAM, 0.001))\
+ .where(t.c.linegeo.within_distance(WKT_PARAM, 0.001))\
.where(t.c.parent_place_id == parent_place_id)\
.order_by('distance')\
.limit(1)\
inner.c.postcode,
inner.c.distance)
- sql: SaLambdaSelect = sa.lambda_stmt(_base_query)
-
+ sql: SaLambdaSelect
if self.has_geometries():
- sub = sql.subquery('geom')
+ sub = _base_query().subquery('geom')
sql = self._add_geometry_columns(sa.select(sub), sub.c.centroid)
+ else:
+ sql = sa.lambda_stmt(_base_query)
return (await self.conn.execute(sql, self.bind_params)).one_or_none()
inner = sa.select(t, sa.literal(0.0).label('distance'))\
.where(t.c.rank_search.between(5, MAX_RANK_PARAM))\
.where(t.c.geometry.intersects(WKT_PARAM))\
- .where(snfn.select_index_placex_geometry_reverse_lookuppolygon('placex'))\
+ .where(sa.func.PlacexGeometryReverseLookuppolygon())\
.order_by(sa.desc(t.c.rank_search))\
.limit(50)\
.subquery('area')
.where(t.c.rank_search > address_rank)\
.where(t.c.rank_search <= MAX_RANK_PARAM)\
.where(t.c.indexed_status == 0)\
- .where(snfn.select_index_placex_geometry_reverse_lookupplacenode('placex'))\
- .where(t.c.geometry
- .ST_Buffer(sa.func.reverse_place_diameter(t.c.rank_search))
- .intersects(WKT_PARAM))\
+ .where(sa.func.IntersectsReverseDistance(t, WKT_PARAM))\
.order_by(sa.desc(t.c.rank_search))\
.limit(50)\
.subquery('places')
return _select_from_placex(inner, False)\
.join(touter, touter.c.geometry.ST_Contains(inner.c.geometry))\
.where(touter.c.place_id == address_id)\
- .where(inner.c.distance < sa.func.reverse_place_diameter(inner.c.rank_search))\
+ .where(sa.func.IsBelowReverseDistance(inner.c.distance, inner.c.rank_search))\
.order_by(sa.desc(inner.c.rank_search), inner.c.distance)\
.limit(1)
- sql = sa.lambda_stmt(_place_inside_area_query)
if self.has_geometries():
- sql = self._add_geometry_columns(sql, sa.literal_column('places.geometry'))
+ sql = self._add_geometry_columns(_place_inside_area_query(),
+ sa.literal_column('places.geometry'))
+ else:
+ sql = sa.lambda_stmt(_place_inside_area_query)
place_address_row = (await self.conn.execute(sql, self.bind_params)).one_or_none()
log().var_dump('Result (place node)', place_address_row)
.where(t.c.indexed_status == 0)\
.where(t.c.linked_place_id == None)\
.where(self._filter_by_layer(t))\
- .where(t.c.geometry
- .ST_Buffer(sa.func.reverse_place_diameter(t.c.rank_search))
- .intersects(WKT_PARAM))\
+ .where(t.c.geometry.intersects(sa.func.ST_Expand(WKT_PARAM, 0.007)))\
.order_by(sa.desc(t.c.rank_search))\
+ .order_by('distance')\
.limit(50)\
.subquery()
.where(t.c.rank_search <= MAX_RANK_PARAM)\
.where(t.c.indexed_status == 0)\
.where(t.c.country_code.in_(ccodes))\
- .where(snfn.select_index_placex_geometry_reverse_lookupplacenode('placex'))\
- .where(t.c.geometry
- .ST_Buffer(sa.func.reverse_place_diameter(t.c.rank_search))
- .intersects(WKT_PARAM))\
+ .where(sa.func.IntersectsReverseDistance(t, WKT_PARAM))\
.order_by(sa.desc(t.c.rank_search))\
.limit(50)\
.subquery('area')
return _select_from_placex(inner, False)\
- .where(inner.c.distance < sa.func.reverse_place_diameter(inner.c.rank_search))\
+ .where(sa.func.IsBelowReverseDistance(inner.c.distance, inner.c.rank_search))\
.order_by(sa.desc(inner.c.rank_search), inner.c.distance)\
.limit(1)
- sql: SaLambdaSelect = sa.lambda_stmt(_base_query)
+ sql: SaLambdaSelect
if self.has_geometries():
- sql = self._add_geometry_columns(sql, sa.literal_column('area.geometry'))
+ sql = self._add_geometry_columns(_base_query(),
+ sa.literal_column('area.geometry'))
+ else:
+ sql = sa.lambda_stmt(_base_query)
address_row = (await self.conn.execute(sql, self.bind_params)).one_or_none()
log().var_dump('Result (addressable place node)', address_row)
if address_row is None:
# Still nothing, then return a country with the appropriate country code.
- sql = sa.lambda_stmt(lambda: _select_from_placex(t)\
- .where(t.c.country_code.in_(ccodes))\
- .where(t.c.rank_address == 4)\
- .where(t.c.rank_search == 4)\
- .where(t.c.linked_place_id == None)\
- .order_by('distance')\
- .limit(1))
+ def _country_base_query() -> SaSelect:
+ return _select_from_placex(t)\
+ .where(t.c.country_code.in_(ccodes))\
+ .where(t.c.rank_address == 4)\
+ .where(t.c.rank_search == 4)\
+ .where(t.c.linked_place_id == None)\
+ .order_by('distance')\
+ .limit(1)
if self.has_geometries():
- sql = self._add_geometry_columns(sql, t.c.geometry)
+ sql = self._add_geometry_columns(_country_base_query(), t.c.geometry)
+ else:
+ sql = sa.lambda_stmt(_country_base_query)
address_row = (await self.conn.execute(sql, self.bind_params)).one_or_none()
projects / nominatim.git / blobdiff