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https://github.com/osm-search/Nominatim.git
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8e90fa3395
There is a bug in SQLAlchemy that assigns the wrong value to bind parameters from closure variables when reusing lambda statements that are later extended with other non-lambda expressions. Thus either avoid lambda statements with closure variables or extending them with non-lambda expressions.
591 lines
24 KiB
Python
591 lines
24 KiB
Python
# SPDX-License-Identifier: GPL-3.0-or-later
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#
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# This file is part of Nominatim. (https://nominatim.org)
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#
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# Copyright (C) 2023 by the Nominatim developer community.
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# For a full list of authors see the git log.
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"""
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Implementation of reverse geocoding.
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"""
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from typing import Optional, List, Callable, Type, Tuple, Dict, Any, cast, Union
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import functools
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import sqlalchemy as sa
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from nominatim.typing import SaColumn, SaSelect, SaFromClause, SaLabel, SaRow,\
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SaBind, SaLambdaSelect
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from nominatim.api.connection import SearchConnection
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import nominatim.api.results as nres
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from nominatim.api.logging import log
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from nominatim.api.types import AnyPoint, DataLayer, ReverseDetails, GeometryFormat, Bbox
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from nominatim.db.sqlalchemy_types import Geometry
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# In SQLAlchemy expression which compare with NULL need to be expressed with
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# the equal sign.
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# pylint: disable=singleton-comparison
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RowFunc = Callable[[Optional[SaRow], Type[nres.ReverseResult]], Optional[nres.ReverseResult]]
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WKT_PARAM: SaBind = sa.bindparam('wkt', type_=Geometry)
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MAX_RANK_PARAM: SaBind = sa.bindparam('max_rank')
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def no_index(expr: SaColumn) -> SaColumn:
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""" Wrap the given expression, so that the query planner will
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refrain from using the expression for index lookup.
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"""
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return sa.func.coalesce(sa.null(), expr) # pylint: disable=not-callable
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def _select_from_placex(t: SaFromClause, use_wkt: bool = True) -> SaSelect:
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""" Create a select statement with the columns relevant for reverse
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results.
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"""
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if not use_wkt:
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distance = t.c.distance
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centroid = t.c.centroid
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else:
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distance = t.c.geometry.ST_Distance(WKT_PARAM)
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centroid = sa.case((t.c.geometry.is_line_like(), t.c.geometry.ST_ClosestPoint(WKT_PARAM)),
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else_=t.c.centroid).label('centroid')
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return sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
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t.c.class_, t.c.type,
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t.c.address, t.c.extratags,
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t.c.housenumber, t.c.postcode, t.c.country_code,
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t.c.importance, t.c.wikipedia,
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t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
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centroid,
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t.c.linked_place_id, t.c.admin_level,
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distance.label('distance'),
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t.c.geometry.ST_Expand(0).label('bbox'))
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def _interpolated_housenumber(table: SaFromClause) -> SaLabel:
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return sa.cast(table.c.startnumber
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+ sa.func.round(((table.c.endnumber - table.c.startnumber) * table.c.position)
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/ table.c.step) * table.c.step,
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sa.Integer).label('housenumber')
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def _interpolated_position(table: SaFromClause) -> SaLabel:
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fac = sa.cast(table.c.step, sa.Float) / (table.c.endnumber - table.c.startnumber)
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rounded_pos = sa.func.round(table.c.position / fac) * fac
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return sa.case(
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(table.c.endnumber == table.c.startnumber, table.c.linegeo.ST_Centroid()),
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else_=table.c.linegeo.ST_LineInterpolatePoint(rounded_pos)).label('centroid')
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def _locate_interpolation(table: SaFromClause) -> SaLabel:
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""" Given a position, locate the closest point on the line.
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"""
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return sa.case((table.c.linegeo.is_line_like(),
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table.c.linegeo.ST_LineLocatePoint(WKT_PARAM)),
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else_=0).label('position')
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def _get_closest(*rows: Optional[SaRow]) -> Optional[SaRow]:
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return min(rows, key=lambda row: 1000 if row is None else row.distance)
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class ReverseGeocoder:
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""" Class implementing the logic for looking up a place from a
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coordinate.
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"""
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def __init__(self, conn: SearchConnection, params: ReverseDetails,
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restrict_to_country_areas: bool = False) -> None:
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self.conn = conn
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self.params = params
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self.restrict_to_country_areas = restrict_to_country_areas
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self.bind_params: Dict[str, Any] = {'max_rank': params.max_rank}
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@property
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def max_rank(self) -> int:
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""" Return the maximum configured rank.
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"""
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return self.params.max_rank
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def has_geometries(self) -> bool:
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""" Check if any geometries are requested.
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"""
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return bool(self.params.geometry_output)
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def layer_enabled(self, *layer: DataLayer) -> bool:
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""" Return true when any of the given layer types are requested.
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"""
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return any(self.params.layers & l for l in layer)
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def layer_disabled(self, *layer: DataLayer) -> bool:
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""" Return true when none of the given layer types is requested.
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"""
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return not any(self.params.layers & l for l in layer)
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def has_feature_layers(self) -> bool:
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""" Return true if any layer other than ADDRESS or POI is requested.
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"""
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return self.layer_enabled(DataLayer.RAILWAY, DataLayer.MANMADE, DataLayer.NATURAL)
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def _add_geometry_columns(self, sql: SaLambdaSelect, col: SaColumn) -> SaSelect:
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out = []
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if self.params.geometry_simplification > 0.0:
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col = sa.func.ST_SimplifyPreserveTopology(col, self.params.geometry_simplification)
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if self.params.geometry_output & GeometryFormat.GEOJSON:
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out.append(sa.func.ST_AsGeoJSON(col, 7).label('geometry_geojson'))
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if self.params.geometry_output & GeometryFormat.TEXT:
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out.append(sa.func.ST_AsText(col).label('geometry_text'))
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if self.params.geometry_output & GeometryFormat.KML:
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out.append(sa.func.ST_AsKML(col, 7).label('geometry_kml'))
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if self.params.geometry_output & GeometryFormat.SVG:
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out.append(sa.func.ST_AsSVG(col, 0, 7).label('geometry_svg'))
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return sql.add_columns(*out)
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def _filter_by_layer(self, table: SaFromClause) -> SaColumn:
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if self.layer_enabled(DataLayer.MANMADE):
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exclude = []
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if self.layer_disabled(DataLayer.RAILWAY):
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exclude.append('railway')
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if self.layer_disabled(DataLayer.NATURAL):
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exclude.extend(('natural', 'water', 'waterway'))
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return table.c.class_.not_in(tuple(exclude))
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include = []
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if self.layer_enabled(DataLayer.RAILWAY):
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include.append('railway')
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if self.layer_enabled(DataLayer.NATURAL):
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include.extend(('natural', 'water', 'waterway'))
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return table.c.class_.in_(tuple(include))
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async def _find_closest_street_or_poi(self, distance: float) -> Optional[SaRow]:
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""" Look up the closest rank 26+ place in the database, which
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is closer than the given distance.
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"""
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t = self.conn.t.placex
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# PostgreSQL must not get the distance as a parameter because
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# there is a danger it won't be able to proberly estimate index use
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# when used with prepared statements
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diststr = sa.text(f"{distance}")
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sql: SaLambdaSelect = sa.lambda_stmt(lambda: _select_from_placex(t)
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.where(t.c.geometry.within_distance(WKT_PARAM, diststr))
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.where(t.c.indexed_status == 0)
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.where(t.c.linked_place_id == None)
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.where(sa.or_(sa.not_(t.c.geometry.is_area()),
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t.c.centroid.ST_Distance(WKT_PARAM) < diststr))
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.order_by('distance')
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.limit(1))
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if self.has_geometries():
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sql = self._add_geometry_columns(sql, t.c.geometry)
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restrict: List[Union[SaColumn, Callable[[], SaColumn]]] = []
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if self.layer_enabled(DataLayer.ADDRESS):
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max_rank = min(29, self.max_rank)
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restrict.append(lambda: no_index(t.c.rank_address).between(26, max_rank))
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if self.max_rank == 30:
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restrict.append(lambda: sa.func.IsAddressPoint(t))
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if self.layer_enabled(DataLayer.POI) and self.max_rank == 30:
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restrict.append(lambda: sa.and_(no_index(t.c.rank_search) == 30,
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t.c.class_.not_in(('place', 'building')),
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sa.not_(t.c.geometry.is_line_like())))
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if self.has_feature_layers():
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restrict.append(sa.and_(no_index(t.c.rank_search).between(26, MAX_RANK_PARAM),
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no_index(t.c.rank_address) == 0,
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self._filter_by_layer(t)))
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if not restrict:
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return None
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sql = sql.where(sa.or_(*restrict))
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return (await self.conn.execute(sql, self.bind_params)).one_or_none()
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async def _find_housenumber_for_street(self, parent_place_id: int) -> Optional[SaRow]:
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t = self.conn.t.placex
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def _base_query() -> SaSelect:
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return _select_from_placex(t)\
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.where(t.c.geometry.within_distance(WKT_PARAM, 0.001))\
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.where(t.c.parent_place_id == parent_place_id)\
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.where(sa.func.IsAddressPoint(t))\
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.where(t.c.indexed_status == 0)\
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.where(t.c.linked_place_id == None)\
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.order_by('distance')\
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.limit(1)
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sql: SaLambdaSelect
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if self.has_geometries():
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sql = self._add_geometry_columns(_base_query(), t.c.geometry)
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else:
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sql = sa.lambda_stmt(_base_query)
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return (await self.conn.execute(sql, self.bind_params)).one_or_none()
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async def _find_interpolation_for_street(self, parent_place_id: Optional[int],
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distance: float) -> Optional[SaRow]:
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t = self.conn.t.osmline
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sql = sa.select(t,
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t.c.linegeo.ST_Distance(WKT_PARAM).label('distance'),
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_locate_interpolation(t))\
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.where(t.c.linegeo.within_distance(WKT_PARAM, distance))\
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.where(t.c.startnumber != None)\
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.order_by('distance')\
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.limit(1)
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if parent_place_id is not None:
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sql = sql.where(t.c.parent_place_id == parent_place_id)
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inner = sql.subquery('ipol')
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sql = sa.select(inner.c.place_id, inner.c.osm_id,
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inner.c.parent_place_id, inner.c.address,
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_interpolated_housenumber(inner),
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_interpolated_position(inner),
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inner.c.postcode, inner.c.country_code,
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inner.c.distance)
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if self.has_geometries():
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sub = sql.subquery('geom')
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sql = self._add_geometry_columns(sa.select(sub), sub.c.centroid)
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return (await self.conn.execute(sql, self.bind_params)).one_or_none()
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async def _find_tiger_number_for_street(self, parent_place_id: int) -> Optional[SaRow]:
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t = self.conn.t.tiger
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def _base_query() -> SaSelect:
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inner = sa.select(t,
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t.c.linegeo.ST_Distance(WKT_PARAM).label('distance'),
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_locate_interpolation(t))\
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.where(t.c.linegeo.within_distance(WKT_PARAM, 0.001))\
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.where(t.c.parent_place_id == parent_place_id)\
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.order_by('distance')\
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.limit(1)\
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.subquery('tiger')
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return sa.select(inner.c.place_id,
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inner.c.parent_place_id,
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_interpolated_housenumber(inner),
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_interpolated_position(inner),
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inner.c.postcode,
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inner.c.distance)
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sql: SaLambdaSelect
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if self.has_geometries():
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sub = _base_query().subquery('geom')
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sql = self._add_geometry_columns(sa.select(sub), sub.c.centroid)
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else:
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sql = sa.lambda_stmt(_base_query)
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return (await self.conn.execute(sql, self.bind_params)).one_or_none()
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async def lookup_street_poi(self) -> Tuple[Optional[SaRow], RowFunc]:
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""" Find a street or POI/address for the given WKT point.
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"""
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log().section('Reverse lookup on street/address level')
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distance = 0.006
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parent_place_id = None
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row = await self._find_closest_street_or_poi(distance)
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row_func: RowFunc = nres.create_from_placex_row
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log().var_dump('Result (street/building)', row)
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# If the closest result was a street, but an address was requested,
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# check for a housenumber nearby which is part of the street.
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if row is not None:
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if self.max_rank > 27 \
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and self.layer_enabled(DataLayer.ADDRESS) \
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and row.rank_address <= 27:
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distance = 0.001
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parent_place_id = row.place_id
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log().comment('Find housenumber for street')
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addr_row = await self._find_housenumber_for_street(parent_place_id)
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log().var_dump('Result (street housenumber)', addr_row)
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if addr_row is not None:
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row = addr_row
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row_func = nres.create_from_placex_row
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distance = addr_row.distance
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elif row.country_code == 'us' and parent_place_id is not None:
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log().comment('Find TIGER housenumber for street')
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addr_row = await self._find_tiger_number_for_street(parent_place_id)
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log().var_dump('Result (street Tiger housenumber)', addr_row)
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if addr_row is not None:
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row_func = cast(RowFunc,
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functools.partial(nres.create_from_tiger_row,
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osm_type=row.osm_type,
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osm_id=row.osm_id))
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row = addr_row
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else:
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distance = row.distance
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# Check for an interpolation that is either closer than our result
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# or belongs to a close street found.
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if self.max_rank > 27 and self.layer_enabled(DataLayer.ADDRESS):
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log().comment('Find interpolation for street')
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addr_row = await self._find_interpolation_for_street(parent_place_id,
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distance)
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log().var_dump('Result (street interpolation)', addr_row)
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if addr_row is not None:
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row = addr_row
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row_func = nres.create_from_osmline_row
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return row, row_func
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async def _lookup_area_address(self) -> Optional[SaRow]:
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""" Lookup large addressable areas for the given WKT point.
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"""
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log().comment('Reverse lookup by larger address area features')
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t = self.conn.t.placex
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def _base_query() -> SaSelect:
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# The inner SQL brings results in the right order, so that
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# later only a minimum of results needs to be checked with ST_Contains.
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inner = sa.select(t, sa.literal(0.0).label('distance'))\
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.where(t.c.rank_search.between(5, MAX_RANK_PARAM))\
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.where(t.c.geometry.intersects(WKT_PARAM))\
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.where(sa.func.PlacexGeometryReverseLookuppolygon())\
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.order_by(sa.desc(t.c.rank_search))\
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.limit(50)\
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.subquery('area')
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return _select_from_placex(inner, False)\
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.where(inner.c.geometry.ST_Contains(WKT_PARAM))\
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.order_by(sa.desc(inner.c.rank_search))\
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.limit(1)
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sql: SaLambdaSelect = sa.lambda_stmt(_base_query)
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if self.has_geometries():
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sql = self._add_geometry_columns(sql, sa.literal_column('area.geometry'))
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address_row = (await self.conn.execute(sql, self.bind_params)).one_or_none()
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log().var_dump('Result (area)', address_row)
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if address_row is not None and address_row.rank_search < self.max_rank:
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log().comment('Search for better matching place nodes inside the area')
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address_rank = address_row.rank_search
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address_id = address_row.place_id
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def _place_inside_area_query() -> SaSelect:
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inner = \
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sa.select(t,
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t.c.geometry.ST_Distance(WKT_PARAM).label('distance'))\
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.where(t.c.rank_search > address_rank)\
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.where(t.c.rank_search <= MAX_RANK_PARAM)\
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.where(t.c.indexed_status == 0)\
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.where(sa.func.IntersectsReverseDistance(t, WKT_PARAM))\
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.order_by(sa.desc(t.c.rank_search))\
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.limit(50)\
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.subquery('places')
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touter = t.alias('outer')
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return _select_from_placex(inner, False)\
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.join(touter, touter.c.geometry.ST_Contains(inner.c.geometry))\
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.where(touter.c.place_id == address_id)\
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.where(sa.func.IsBelowReverseDistance(inner.c.distance, inner.c.rank_search))\
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.order_by(sa.desc(inner.c.rank_search), inner.c.distance)\
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.limit(1)
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if self.has_geometries():
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sql = self._add_geometry_columns(_place_inside_area_query(),
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sa.literal_column('places.geometry'))
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else:
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sql = sa.lambda_stmt(_place_inside_area_query)
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place_address_row = (await self.conn.execute(sql, self.bind_params)).one_or_none()
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log().var_dump('Result (place node)', place_address_row)
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if place_address_row is not None:
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return place_address_row
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return address_row
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async def _lookup_area_others(self) -> Optional[SaRow]:
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t = self.conn.t.placex
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inner = sa.select(t, t.c.geometry.ST_Distance(WKT_PARAM).label('distance'))\
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.where(t.c.rank_address == 0)\
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.where(t.c.rank_search.between(5, MAX_RANK_PARAM))\
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.where(t.c.name != None)\
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.where(t.c.indexed_status == 0)\
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.where(t.c.linked_place_id == None)\
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.where(self._filter_by_layer(t))\
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.where(t.c.geometry.intersects(sa.func.ST_Expand(WKT_PARAM, 0.007)))\
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.order_by(sa.desc(t.c.rank_search))\
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.order_by('distance')\
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.limit(50)\
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.subquery()
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sql = _select_from_placex(inner, False)\
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.where(sa.or_(sa.not_(inner.c.geometry.is_area()),
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inner.c.geometry.ST_Contains(WKT_PARAM)))\
|
|
.order_by(sa.desc(inner.c.rank_search), inner.c.distance)\
|
|
.limit(1)
|
|
|
|
if self.has_geometries():
|
|
sql = self._add_geometry_columns(sql, inner.c.geometry)
|
|
|
|
row = (await self.conn.execute(sql, self.bind_params)).one_or_none()
|
|
log().var_dump('Result (non-address feature)', row)
|
|
|
|
return row
|
|
|
|
|
|
async def lookup_area(self) -> Optional[SaRow]:
|
|
""" Lookup large areas for the current search.
|
|
"""
|
|
log().section('Reverse lookup by larger area features')
|
|
|
|
if self.layer_enabled(DataLayer.ADDRESS):
|
|
address_row = await self._lookup_area_address()
|
|
else:
|
|
address_row = None
|
|
|
|
if self.has_feature_layers():
|
|
other_row = await self._lookup_area_others()
|
|
else:
|
|
other_row = None
|
|
|
|
return _get_closest(address_row, other_row)
|
|
|
|
|
|
async def lookup_country_codes(self) -> List[str]:
|
|
""" Lookup the country for the current search.
|
|
"""
|
|
log().section('Reverse lookup by country code')
|
|
t = self.conn.t.country_grid
|
|
sql = sa.select(t.c.country_code).distinct()\
|
|
.where(t.c.geometry.ST_Contains(WKT_PARAM))
|
|
|
|
ccodes = [cast(str, r[0]) for r in await self.conn.execute(sql, self.bind_params)]
|
|
log().var_dump('Country codes', ccodes)
|
|
return ccodes
|
|
|
|
|
|
async def lookup_country(self, ccodes: List[str]) -> Optional[SaRow]:
|
|
""" Lookup the country for the current search.
|
|
"""
|
|
if not ccodes:
|
|
ccodes = await self.lookup_country_codes()
|
|
|
|
if not ccodes:
|
|
return None
|
|
|
|
t = self.conn.t.placex
|
|
if self.max_rank > 4:
|
|
log().comment('Search for place nodes in country')
|
|
|
|
def _base_query() -> SaSelect:
|
|
inner = \
|
|
sa.select(t,
|
|
t.c.geometry.ST_Distance(WKT_PARAM).label('distance'))\
|
|
.where(t.c.rank_search > 4)\
|
|
.where(t.c.rank_search <= MAX_RANK_PARAM)\
|
|
.where(t.c.indexed_status == 0)\
|
|
.where(t.c.country_code.in_(ccodes))\
|
|
.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(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
|
|
if self.has_geometries():
|
|
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)
|
|
else:
|
|
address_row = None
|
|
|
|
if address_row is None:
|
|
# Still nothing, then return a country with the appropriate country code.
|
|
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(_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()
|
|
|
|
return address_row
|
|
|
|
|
|
async def lookup(self, coord: AnyPoint) -> Optional[nres.ReverseResult]:
|
|
""" Look up a single coordinate. Returns the place information,
|
|
if a place was found near the coordinates or None otherwise.
|
|
"""
|
|
log().function('reverse_lookup', coord=coord, params=self.params)
|
|
|
|
|
|
self.bind_params['wkt'] = f'POINT({coord[0]} {coord[1]})'
|
|
|
|
row: Optional[SaRow] = None
|
|
row_func: RowFunc = nres.create_from_placex_row
|
|
|
|
if self.max_rank >= 26:
|
|
row, tmp_row_func = await self.lookup_street_poi()
|
|
if row is not None:
|
|
row_func = tmp_row_func
|
|
|
|
if row is None:
|
|
if self.restrict_to_country_areas:
|
|
ccodes = await self.lookup_country_codes()
|
|
if not ccodes:
|
|
return None
|
|
else:
|
|
ccodes = []
|
|
|
|
if self.max_rank > 4:
|
|
row = await self.lookup_area()
|
|
if row is None and self.layer_enabled(DataLayer.ADDRESS):
|
|
row = await self.lookup_country(ccodes)
|
|
|
|
result = row_func(row, nres.ReverseResult)
|
|
if result is not None:
|
|
assert row is not None
|
|
result.distance = row.distance
|
|
if hasattr(row, 'bbox'):
|
|
result.bbox = Bbox.from_wkb(row.bbox)
|
|
await nres.add_result_details(self.conn, [result], self.params)
|
|
|
|
return result
|