nominatim/api/search/db_searches.py

   1 # SPDX-License-Identifier: GPL-3.0-or-later
   2 #
   3 # This file is part of Nominatim. (https://nominatim.org)
   4 #
   5 # Copyright (C) 2023 by the Nominatim developer community.
   6 # For a full list of authors see the git log.
   7 """
   8 Implementation of the acutal database accesses for forward search.
   9 """
  10 from typing import List, Tuple, AsyncIterator
  11 import abc
  12
  13 import sqlalchemy as sa
  14 from sqlalchemy.dialects.postgresql import ARRAY, array_agg
  15
  16 from nominatim.typing import SaFromClause, SaScalarSelect, SaColumn, \
  17                              SaExpression, SaSelect, SaRow
  18 from nominatim.api.connection import SearchConnection
  19 from nominatim.api.types import SearchDetails, DataLayer, GeometryFormat, Bbox
  20 import nominatim.api.results as nres
  21 from nominatim.api.search.db_search_fields import SearchData, WeightedCategories
  22
  23 #pylint: disable=singleton-comparison,not-callable
  24 #pylint: disable=too-many-branches,too-many-arguments,too-many-locals,too-many-statements
  25
  26 def _select_placex(t: SaFromClause) -> SaSelect:
  27     return sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
  28                      t.c.class_, t.c.type,
  29                      t.c.address, t.c.extratags,
  30                      t.c.housenumber, t.c.postcode, t.c.country_code,
  31                      t.c.importance, t.c.wikipedia,
  32                      t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
  33                      t.c.centroid,
  34                      t.c.geometry.ST_Expand(0).label('bbox'))
  35
  36
  37 def _add_geometry_columns(sql: SaSelect, col: SaColumn, details: SearchDetails) -> SaSelect:
  38     if not details.geometry_output:
  39         return sql
  40
  41     out = []
  42
  43     if details.geometry_simplification > 0.0:
  44         col = col.ST_SimplifyPreserveTopology(details.geometry_simplification)
  45
  46     if details.geometry_output & GeometryFormat.GEOJSON:
  47         out.append(col.ST_AsGeoJSON().label('geometry_geojson'))
  48     if details.geometry_output & GeometryFormat.TEXT:
  49         out.append(col.ST_AsText().label('geometry_text'))
  50     if details.geometry_output & GeometryFormat.KML:
  51         out.append(col.ST_AsKML().label('geometry_kml'))
  52     if details.geometry_output & GeometryFormat.SVG:
  53         out.append(col.ST_AsSVG().label('geometry_svg'))
  54
  55     return sql.add_columns(*out)
  56
  57
  58 def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause,
  59                                  numerals: List[int], details: SearchDetails) -> SaScalarSelect:
  60     all_ids = array_agg(table.c.place_id) # type: ignore[no-untyped-call]
  61     sql = sa.select(all_ids).where(table.c.parent_place_id == inner.c.place_id)
  62
  63     if len(numerals) == 1:
  64         sql = sql.where(sa.between(numerals[0], table.c.startnumber, table.c.endnumber))\
  65                  .where((numerals[0] - table.c.startnumber) % table.c.step == 0)
  66     else:
  67         sql = sql.where(sa.or_(
  68                 *(sa.and_(sa.between(n, table.c.startnumber, table.c.endnumber),
  69                           (n - table.c.startnumber) % table.c.step == 0)
  70                   for n in numerals)))
  71
  72     if details.excluded:
  73         sql = sql.where(table.c.place_id.not_in(details.excluded))
  74
  75     return sql.scalar_subquery()
  76
  77
  78 def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn:
  79     orexpr: List[SaExpression] = []
  80     if layers & DataLayer.ADDRESS and layers & DataLayer.POI:
  81         orexpr.append(table.c.rank_address.between(1, 30))
  82     elif layers & DataLayer.ADDRESS:
  83         orexpr.append(table.c.rank_address.between(1, 29))
  84         orexpr.append(sa.and_(table.c.rank_address == 30,
  85                               sa.or_(table.c.housenumber != None,
  86                                      table.c.address.has_key('housename'))))
  87     elif layers & DataLayer.POI:
  88         orexpr.append(sa.and_(table.c.rank_address == 30,
  89                               table.c.class_.not_in(('place', 'building'))))
  90
  91     if layers & DataLayer.MANMADE:
  92         exclude = []
  93         if not layers & DataLayer.RAILWAY:
  94             exclude.append('railway')
  95         if not layers & DataLayer.NATURAL:
  96             exclude.extend(('natural', 'water', 'waterway'))
  97         orexpr.append(sa.and_(table.c.class_.not_in(tuple(exclude)),
  98                               table.c.rank_address == 0))
  99     else:
 100         include = []
 101         if layers & DataLayer.RAILWAY:
 102             include.append('railway')
 103         if layers & DataLayer.NATURAL:
 104             include.extend(('natural', 'water', 'waterway'))
 105         orexpr.append(sa.and_(table.c.class_.in_(tuple(include)),
 106                               table.c.rank_address == 0))
 107
 108     if len(orexpr) == 1:
 109         return orexpr[0]
 110
 111     return sa.or_(*orexpr)
 112
 113
 114 def _interpolated_position(table: SaFromClause, nr: SaColumn) -> SaColumn:
 115     pos = sa.cast(nr - table.c.startnumber, sa.Float) / (table.c.endnumber - table.c.startnumber)
 116     return sa.case(
 117             (table.c.endnumber == table.c.startnumber, table.c.linegeo.ST_Centroid()),
 118             else_=table.c.linegeo.ST_LineInterpolatePoint(pos)).label('centroid')
 119
 120
 121 async def _get_placex_housenumbers(conn: SearchConnection,
 122                                    place_ids: List[int],
 123                                    details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
 124     t = conn.t.placex
 125     sql = _select_placex(t).where(t.c.place_id.in_(place_ids))
 126
 127     sql = _add_geometry_columns(sql, t.c.geometry, details)
 128
 129     for row in await conn.execute(sql):
 130         result = nres.create_from_placex_row(row, nres.SearchResult)
 131         assert result
 132         result.bbox = Bbox.from_wkb(row.bbox.data)
 133         yield result
 134
 135
 136 async def _get_osmline(conn: SearchConnection, place_ids: List[int],
 137                        numerals: List[int],
 138                        details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
 139     t = conn.t.osmline
 140     values = sa.values(sa.Column('nr', sa.Integer()), name='housenumber')\
 141                .data([(n,) for n in numerals])
 142     sql = sa.select(t.c.place_id, t.c.osm_id,
 143                     t.c.parent_place_id, t.c.address,
 144                     values.c.nr.label('housenumber'),
 145                     _interpolated_position(t, values.c.nr),
 146                     t.c.postcode, t.c.country_code)\
 147             .where(t.c.place_id.in_(place_ids))\
 148             .join(values, values.c.nr.between(t.c.startnumber, t.c.endnumber))
 149
 150     if details.geometry_output:
 151         sub = sql.subquery()
 152         sql = _add_geometry_columns(sa.select(sub), sub.c.centroid, details)
 153
 154     for row in await conn.execute(sql):
 155         result = nres.create_from_osmline_row(row, nres.SearchResult)
 156         assert result
 157         yield result
 158
 159
 160 async def _get_tiger(conn: SearchConnection, place_ids: List[int],
 161                      numerals: List[int], osm_id: int,
 162                      details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
 163     t = conn.t.tiger
 164     values = sa.values(sa.Column('nr', sa.Integer()), name='housenumber')\
 165                .data([(n,) for n in numerals])
 166     sql = sa.select(t.c.place_id, t.c.parent_place_id,
 167                     sa.literal('W').label('osm_type'),
 168                     sa.literal(osm_id).label('osm_id'),
 169                     values.c.nr.label('housenumber'),
 170                     _interpolated_position(t, values.c.nr),
 171                     t.c.postcode)\
 172             .where(t.c.place_id.in_(place_ids))\
 173             .join(values, values.c.nr.between(t.c.startnumber, t.c.endnumber))
 174
 175     if details.geometry_output:
 176         sub = sql.subquery()
 177         sql = _add_geometry_columns(sa.select(sub), sub.c.centroid, details)
 178
 179     for row in await conn.execute(sql):
 180         result = nres.create_from_tiger_row(row, nres.SearchResult)
 181         assert result
 182         yield result
 183
 184
 185 class AbstractSearch(abc.ABC):
 186     """ Encapuslation of a single lookup in the database.
 187     """
 188
 189     def __init__(self, penalty: float) -> None:
 190         self.penalty = penalty
 191
 192     @abc.abstractmethod
 193     async def lookup(self, conn: SearchConnection,
 194                      details: SearchDetails) -> nres.SearchResults:
 195         """ Find results for the search in the database.
 196         """
 197
 198
 199 class NearSearch(AbstractSearch):
 200     """ Category search of a place type near the result of another search.
 201     """
 202     def __init__(self, penalty: float, categories: WeightedCategories,
 203                  search: AbstractSearch) -> None:
 204         super().__init__(penalty)
 205         self.search = search
 206         self.categories = categories
 207
 208
 209     async def lookup(self, conn: SearchConnection,
 210                      details: SearchDetails) -> nres.SearchResults:
 211         """ Find results for the search in the database.
 212         """
 213         results = nres.SearchResults()
 214         base = await self.search.lookup(conn, details)
 215
 216         if not base:
 217             return results
 218
 219         base.sort(key=lambda r: (r.accuracy, r.rank_search))
 220         max_accuracy = base[0].accuracy + 0.5
 221         base = nres.SearchResults(r for r in base if r.source_table == nres.SourceTable.PLACEX
 222                                                      and r.accuracy <= max_accuracy
 223                                                      and r.bbox and r.bbox.area < 20)
 224
 225         if base:
 226             baseids = [b.place_id for b in base[:5] if b.place_id]
 227
 228             for category, penalty in self.categories:
 229                 await self.lookup_category(results, conn, baseids, category, penalty, details)
 230                 if len(results) >= details.max_results:
 231                     break
 232
 233         return results
 234
 235
 236     async def lookup_category(self, results: nres.SearchResults,
 237                               conn: SearchConnection, ids: List[int],
 238                               category: Tuple[str, str], penalty: float,
 239                               details: SearchDetails) -> None:
 240         """ Find places of the given category near the list of
 241             place ids and add the results to 'results'.
 242         """
 243         table = await conn.get_class_table(*category)
 244
 245         t = conn.t.placex.alias('p')
 246         tgeom = conn.t.placex.alias('pgeom')
 247
 248         sql = _select_placex(t).where(tgeom.c.place_id.in_(ids))\
 249                                .where(t.c.class_ == category[0])\
 250                                .where(t.c.type == category[1])
 251
 252         if table is None:
 253             # No classtype table available, do a simplified lookup in placex.
 254             sql = sql.join(tgeom, t.c.geometry.ST_DWithin(tgeom.c.centroid, 0.01))\
 255                      .order_by(tgeom.c.centroid.ST_Distance(t.c.centroid))
 256         else:
 257             # Use classtype table. We can afford to use a larger
 258             # radius for the lookup.
 259             sql = sql.join(table, t.c.place_id == table.c.place_id)\
 260                      .join(tgeom,
 261                            sa.case((sa.and_(tgeom.c.rank_address < 9,
 262                                             tgeom.c.geometry.ST_GeometryType().in_(
 263                                                 ('ST_Polygon', 'ST_MultiPolygon'))),
 264                                     tgeom.c.geometry.ST_Contains(table.c.centroid)),
 265                                    else_ = tgeom.c.centroid.ST_DWithin(table.c.centroid, 0.05)))\
 266                      .order_by(tgeom.c.centroid.ST_Distance(table.c.centroid))
 267
 268         if details.countries:
 269             sql = sql.where(t.c.country_code.in_(details.countries))
 270         if details.min_rank > 0:
 271             sql = sql.where(t.c.rank_address >= details.min_rank)
 272         if details.max_rank < 30:
 273             sql = sql.where(t.c.rank_address <= details.max_rank)
 274         if details.excluded:
 275             sql = sql.where(t.c.place_id.not_in(details.excluded))
 276         if details.layers is not None:
 277             sql = sql.where(_filter_by_layer(t, details.layers))
 278
 279         for row in await conn.execute(sql.limit(details.max_results)):
 280             result = nres.create_from_placex_row(row, nres.SearchResult)
 281             assert result
 282             result.accuracy = self.penalty + penalty
 283             result.bbox = Bbox.from_wkb(row.bbox.data)
 284             results.append(result)
 285
 286
 287
 288 class PoiSearch(AbstractSearch):
 289     """ Category search in a geographic area.
 290     """
 291     def __init__(self, sdata: SearchData) -> None:
 292         super().__init__(sdata.penalty)
 293         self.categories = sdata.qualifiers
 294         self.countries = sdata.countries
 295
 296
 297     async def lookup(self, conn: SearchConnection,
 298                      details: SearchDetails) -> nres.SearchResults:
 299         """ Find results for the search in the database.
 300         """
 301         t = conn.t.placex
 302
 303         rows: List[SaRow] = []
 304
 305         if details.near and details.near_radius is not None and details.near_radius < 0.2:
 306             # simply search in placex table
 307             sql = _select_placex(t) \
 308                       .where(t.c.linked_place_id == None) \
 309                       .where(t.c.geometry.ST_DWithin(details.near.sql_value(),
 310                                                      details.near_radius)) \
 311                       .order_by(t.c.centroid.ST_Distance(details.near.sql_value()))
 312
 313             if self.countries:
 314                 sql = sql.where(t.c.country_code.in_(self.countries.values))
 315
 316             if details.viewbox is not None and details.bounded_viewbox:
 317                 sql = sql.where(t.c.geometry.intersects(details.viewbox.sql_value()))
 318
 319             classtype = self.categories.values
 320             if len(classtype) == 1:
 321                 sql = sql.where(t.c.class_ == classtype[0][0]) \
 322                          .where(t.c.type == classtype[0][1])
 323             else:
 324                 sql = sql.where(sa.or_(*(sa.and_(t.c.class_ == cls, t.c.type == typ)
 325                                          for cls, typ in classtype)))
 326
 327             rows.extend(await conn.execute(sql.limit(details.max_results)))
 328         else:
 329             # use the class type tables
 330             for category in self.categories.values:
 331                 table = await conn.get_class_table(*category)
 332                 if table is not None:
 333                     sql = _select_placex(t)\
 334                                .join(table, t.c.place_id == table.c.place_id)\
 335                                .where(t.c.class_ == category[0])\
 336                                .where(t.c.type == category[1])
 337
 338                     if details.viewbox is not None and details.bounded_viewbox:
 339                         sql = sql.where(table.c.centroid.intersects(details.viewbox.sql_value()))
 340
 341                     if details.near:
 342                         sql = sql.order_by(table.c.centroid.ST_Distance(details.near.sql_value()))\
 343                                  .where(table.c.centroid.ST_DWithin(details.near.sql_value(),
 344                                                                     details.near_radius or 0.5))
 345
 346                     if self.countries:
 347                         sql = sql.where(t.c.country_code.in_(self.countries.values))
 348
 349                     rows.extend(await conn.execute(sql.limit(details.max_results)))
 350
 351         results = nres.SearchResults()
 352         for row in rows:
 353             result = nres.create_from_placex_row(row, nres.SearchResult)
 354             assert result
 355             result.accuracy = self.penalty + self.categories.get_penalty((row.class_, row.type))
 356             result.bbox = Bbox.from_wkb(row.bbox.data)
 357             results.append(result)
 358
 359         return results
 360
 361
 362 class CountrySearch(AbstractSearch):
 363     """ Search for a country name or country code.
 364     """
 365     def __init__(self, sdata: SearchData) -> None:
 366         super().__init__(sdata.penalty)
 367         self.countries = sdata.countries
 368
 369
 370     async def lookup(self, conn: SearchConnection,
 371                      details: SearchDetails) -> nres.SearchResults:
 372         """ Find results for the search in the database.
 373         """
 374         t = conn.t.placex
 375
 376         sql = _select_placex(t)\
 377                 .where(t.c.country_code.in_(self.countries.values))\
 378                 .where(t.c.rank_address == 4)
 379
 380         sql = _add_geometry_columns(sql, t.c.geometry, details)
 381
 382         if details.excluded:
 383             sql = sql.where(t.c.place_id.not_in(details.excluded))
 384
 385         if details.viewbox is not None and details.bounded_viewbox:
 386             sql = sql.where(t.c.geometry.intersects(details.viewbox.sql_value()))
 387
 388         if details.near is not None and details.near_radius is not None:
 389             sql = sql.where(t.c.geometry.ST_DWithin(details.near.sql_value(),
 390                                                     details.near_radius))
 391
 392         results = nres.SearchResults()
 393         for row in await conn.execute(sql):
 394             result = nres.create_from_placex_row(row, nres.SearchResult)
 395             assert result
 396             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
 397             results.append(result)
 398
 399         return results or await self.lookup_in_country_table(conn, details)
 400
 401
 402     async def lookup_in_country_table(self, conn: SearchConnection,
 403                                       details: SearchDetails) -> nres.SearchResults:
 404         """ Look up the country in the fallback country tables.
 405         """
 406         t = conn.t.country_name
 407         tgrid = conn.t.country_grid
 408
 409         sql = sa.select(tgrid.c.country_code,
 410                         tgrid.c.geometry.ST_Centroid().ST_Collect().ST_Centroid()
 411                               .label('centroid'))\
 412                 .where(tgrid.c.country_code.in_(self.countries.values))\
 413                 .group_by(tgrid.c.country_code)
 414
 415         if details.viewbox is not None and details.bounded_viewbox:
 416             sql = sql.where(tgrid.c.geometry.intersects(details.viewbox.sql_value()))
 417         if details.near is not None and details.near_radius is not None:
 418             sql = sql.where(tgrid.c.geometry.ST_DWithin(details.near.sql_value(),
 419                                                         details.near_radius))
 420
 421         sub = sql.subquery('grid')
 422
 423         sql = sa.select(t.c.country_code,
 424                         (t.c.name
 425                          + sa.func.coalesce(t.c.derived_name,
 426                                             sa.cast('', type_=conn.t.types.Composite))
 427                         ).label('name'),
 428                         sub.c.centroid)\
 429                 .join(sub, t.c.country_code == sub.c.country_code)
 430
 431         results = nres.SearchResults()
 432         for row in await conn.execute(sql):
 433             result = nres.create_from_country_row(row, nres.SearchResult)
 434             assert result
 435             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
 436             results.append(result)
 437
 438         return results
 439
 440
 441
 442 class PostcodeSearch(AbstractSearch):
 443     """ Search for a postcode.
 444     """
 445     def __init__(self, extra_penalty: float, sdata: SearchData) -> None:
 446         super().__init__(sdata.penalty + extra_penalty)
 447         self.countries = sdata.countries
 448         self.postcodes = sdata.postcodes
 449         self.lookups = sdata.lookups
 450         self.rankings = sdata.rankings
 451
 452
 453     async def lookup(self, conn: SearchConnection,
 454                      details: SearchDetails) -> nres.SearchResults:
 455         """ Find results for the search in the database.
 456         """
 457         t = conn.t.postcode
 458
 459         sql = sa.select(t.c.place_id, t.c.parent_place_id,
 460                         t.c.rank_search, t.c.rank_address,
 461                         t.c.postcode, t.c.country_code,
 462                         t.c.geometry.label('centroid'))\
 463                 .where(t.c.postcode.in_(self.postcodes.values))
 464
 465         sql = _add_geometry_columns(sql, t.c.geometry, details)
 466
 467         penalty: SaExpression = sa.literal(self.penalty)
 468
 469         if details.viewbox is not None:
 470             if details.bounded_viewbox:
 471                 sql = sql.where(t.c.geometry.intersects(details.viewbox.sql_value()))
 472             else:
 473                 penalty += sa.case((t.c.geometry.intersects(details.viewbox.sql_value()), 0.0),
 474                                    (t.c.geometry.intersects(details.viewbox_x2.sql_value()), 1.0),
 475                                    else_=2.0)
 476
 477         if details.near is not None:
 478             if details.near_radius is not None:
 479                 sql = sql.where(t.c.geometry.ST_DWithin(details.near.sql_value(),
 480                                                         details.near_radius))
 481             sql = sql.order_by(t.c.geometry.ST_Distance(details.near.sql_value()))
 482
 483         if self.countries:
 484             sql = sql.where(t.c.country_code.in_(self.countries.values))
 485
 486         if details.excluded:
 487             sql = sql.where(t.c.place_id.not_in(details.excluded))
 488
 489         if self.lookups:
 490             assert len(self.lookups) == 1
 491             assert self.lookups[0].lookup_type == 'restrict'
 492             tsearch = conn.t.search_name
 493             sql = sql.where(tsearch.c.place_id == t.c.parent_place_id)\
 494                      .where(sa.func.array_cat(tsearch.c.name_vector,
 495                                               tsearch.c.nameaddress_vector,
 496                                               type_=ARRAY(sa.Integer))
 497                                     .contains(self.lookups[0].tokens))
 498
 499         for ranking in self.rankings:
 500             penalty += ranking.sql_penalty(conn.t.search_name)
 501         penalty += sa.case(*((t.c.postcode == v, p) for v, p in self.postcodes),
 502                        else_=1.0)
 503
 504
 505         sql = sql.add_columns(penalty.label('accuracy'))
 506         sql = sql.order_by('accuracy')
 507
 508         results = nres.SearchResults()
 509         for row in await conn.execute(sql.limit(details.max_results)):
 510             result = nres.create_from_postcode_row(row, nres.SearchResult)
 511             assert result
 512             result.accuracy = row.accuracy
 513             results.append(result)
 514
 515         return results
 516
 517
 518
 519 class PlaceSearch(AbstractSearch):
 520     """ Generic search for an address or named place.
 521     """
 522     def __init__(self, extra_penalty: float, sdata: SearchData, expected_count: int) -> None:
 523         super().__init__(sdata.penalty + extra_penalty)
 524         self.countries = sdata.countries
 525         self.postcodes = sdata.postcodes
 526         self.housenumbers = sdata.housenumbers
 527         self.qualifiers = sdata.qualifiers
 528         self.lookups = sdata.lookups
 529         self.rankings = sdata.rankings
 530         self.expected_count = expected_count
 531
 532
 533     async def lookup(self, conn: SearchConnection,
 534                      details: SearchDetails) -> nres.SearchResults:
 535         """ Find results for the search in the database.
 536         """
 537         t = conn.t.placex.alias('p')
 538         tsearch = conn.t.search_name.alias('s')
 539         limit = details.max_results
 540
 541         sql = sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
 542                         t.c.class_, t.c.type,
 543                         t.c.address, t.c.extratags,
 544                         t.c.housenumber, t.c.postcode, t.c.country_code,
 545                         t.c.wikipedia,
 546                         t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
 547                         t.c.centroid,
 548                         t.c.geometry.ST_Expand(0).label('bbox'))\
 549                 .where(t.c.place_id == tsearch.c.place_id)
 550
 551
 552         sql = _add_geometry_columns(sql, t.c.geometry, details)
 553
 554         penalty: SaExpression = sa.literal(self.penalty)
 555         for ranking in self.rankings:
 556             penalty += ranking.sql_penalty(tsearch)
 557
 558         for lookup in self.lookups:
 559             sql = sql.where(lookup.sql_condition(tsearch))
 560
 561         if self.countries:
 562             sql = sql.where(tsearch.c.country_code.in_(self.countries.values))
 563
 564         if self.postcodes:
 565             tpc = conn.t.postcode
 566             if self.expected_count > 1000:
 567                 # Many results expected. Restrict by postcode.
 568                 sql = sql.where(sa.select(tpc.c.postcode)
 569                                   .where(tpc.c.postcode.in_(self.postcodes.values))
 570                                   .where(tsearch.c.centroid.ST_DWithin(tpc.c.geometry, 0.12))
 571                                   .exists())
 572
 573             # Less results, only have a preference for close postcodes
 574             pc_near = sa.select(sa.func.min(tpc.c.geometry.ST_Distance(tsearch.c.centroid)))\
 575                       .where(tpc.c.postcode.in_(self.postcodes.values))\
 576                       .scalar_subquery()
 577             penalty += sa.case((t.c.postcode.in_(self.postcodes.values), 0.0),
 578                                else_=sa.func.coalesce(pc_near, 2.0))
 579
 580         if details.viewbox is not None:
 581             if details.bounded_viewbox:
 582                 sql = sql.where(tsearch.c.centroid.intersects(details.viewbox.sql_value()))
 583             else:
 584                 penalty += sa.case((t.c.geometry.intersects(details.viewbox.sql_value()), 0.0),
 585                                    (t.c.geometry.intersects(details.viewbox_x2.sql_value()), 1.0),
 586                                    else_=2.0)
 587
 588         if details.near is not None:
 589             if details.near_radius is not None:
 590                 sql = sql.where(tsearch.c.centroid.ST_DWithin(details.near.sql_value(),
 591                                                          details.near_radius))
 592             sql = sql.add_columns(-tsearch.c.centroid.ST_Distance(details.near.sql_value())
 593                                       .label('importance'))
 594             sql = sql.order_by(sa.desc(sa.text('importance')))
 595         else:
 596             sql = sql.order_by(penalty - sa.case((tsearch.c.importance > 0, tsearch.c.importance),
 597                                   else_=0.75001-(sa.cast(tsearch.c.search_rank, sa.Float())/40)))
 598             sql = sql.add_columns(t.c.importance)
 599
 600
 601         sql = sql.add_columns(penalty.label('accuracy'))\
 602                  .order_by(sa.text('accuracy'))
 603
 604         if self.housenumbers:
 605             hnr_regexp = f"\\m({'|'.join(self.housenumbers.values)})\\M"
 606             sql = sql.where(tsearch.c.address_rank.between(16, 30))\
 607                      .where(sa.or_(tsearch.c.address_rank < 30,
 608                                   t.c.housenumber.regexp_match(hnr_regexp, flags='i')))
 609
 610             # Cross check for housenumbers, need to do that on a rather large
 611             # set. Worst case there are 40.000 main streets in OSM.
 612             inner = sql.limit(10000).subquery()
 613
 614             # Housenumbers from placex
 615             thnr = conn.t.placex.alias('hnr')
 616             pid_list = array_agg(thnr.c.place_id) # type: ignore[no-untyped-call]
 617             place_sql = sa.select(pid_list)\
 618                           .where(thnr.c.parent_place_id == inner.c.place_id)\
 619                           .where(thnr.c.housenumber.regexp_match(hnr_regexp, flags='i'))\
 620                           .where(thnr.c.linked_place_id == None)\
 621                           .where(thnr.c.indexed_status == 0)
 622
 623             if details.excluded:
 624                 place_sql = place_sql.where(thnr.c.place_id.not_in(details.excluded))
 625             if self.qualifiers:
 626                 place_sql = place_sql.where(self.qualifiers.sql_restrict(thnr))
 627
 628             numerals = [int(n) for n in self.housenumbers.values if n.isdigit()]
 629             interpol_sql: SaExpression
 630             tiger_sql: SaExpression
 631             if numerals and \
 632                (not self.qualifiers or ('place', 'house') in self.qualifiers.values):
 633                 # Housenumbers from interpolations
 634                 interpol_sql = _make_interpolation_subquery(conn.t.osmline, inner,
 635                                                             numerals, details)
 636                 # Housenumbers from Tiger
 637                 tiger_sql = sa.case((inner.c.country_code == 'us',
 638                                      _make_interpolation_subquery(conn.t.tiger, inner,
 639                                                                   numerals, details)
 640                                     ), else_=None)
 641             else:
 642                 interpol_sql = sa.literal(None)
 643                 tiger_sql = sa.literal(None)
 644
 645             unsort = sa.select(inner, place_sql.scalar_subquery().label('placex_hnr'),
 646                                interpol_sql.label('interpol_hnr'),
 647                                tiger_sql.label('tiger_hnr')).subquery('unsort')
 648             sql = sa.select(unsort)\
 649                     .order_by(sa.case((unsort.c.placex_hnr != None, 1),
 650                                       (unsort.c.interpol_hnr != None, 2),
 651                                       (unsort.c.tiger_hnr != None, 3),
 652                                       else_=4),
 653                               unsort.c.accuracy)
 654         else:
 655             sql = sql.where(t.c.linked_place_id == None)\
 656                      .where(t.c.indexed_status == 0)
 657             if self.qualifiers:
 658                 sql = sql.where(self.qualifiers.sql_restrict(t))
 659             if details.excluded:
 660                 sql = sql.where(tsearch.c.place_id.not_in(details.excluded))
 661             if details.min_rank > 0:
 662                 sql = sql.where(sa.or_(tsearch.c.address_rank >= details.min_rank,
 663                                        tsearch.c.search_rank >= details.min_rank))
 664             if details.max_rank < 30:
 665                 sql = sql.where(sa.or_(tsearch.c.address_rank <= details.max_rank,
 666                                        tsearch.c.search_rank <= details.max_rank))
 667             if details.layers is not None:
 668                 sql = sql.where(_filter_by_layer(t, details.layers))
 669
 670
 671         results = nres.SearchResults()
 672         for row in await conn.execute(sql.limit(limit)):
 673             result = nres.create_from_placex_row(row, nres.SearchResult)
 674             assert result
 675             result.bbox = Bbox.from_wkb(row.bbox.data)
 676             result.accuracy = row.accuracy
 677             if not details.excluded or not result.place_id in details.excluded:
 678                 results.append(result)
 679
 680             if self.housenumbers and row.rank_address < 30:
 681                 if row.placex_hnr:
 682                     subs = _get_placex_housenumbers(conn, row.placex_hnr, details)
 683                 elif row.interpol_hnr:
 684                     subs = _get_osmline(conn, row.interpol_hnr, numerals, details)
 685                 elif row.tiger_hnr:
 686                     subs = _get_tiger(conn, row.tiger_hnr, numerals, row.osm_id, details)
 687                 else:
 688                     subs = None
 689
 690                 if subs is not None:
 691                     async for sub in subs:
 692                         assert sub.housenumber
 693                         sub.accuracy = result.accuracy
 694                         if not any(nr in self.housenumbers.values
 695                                    for nr in sub.housenumber.split(';')):
 696                             sub.accuracy += 0.6
 697                         results.append(sub)
 698
 699                 result.accuracy += 1.0 # penalty for missing housenumber
 700
 701         return results