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, Dict, Any, Callable, cast
  11 import abc
  12
  13 import sqlalchemy as sa
  14
  15 from nominatim.typing import SaFromClause, SaScalarSelect, SaColumn, \
  16                              SaExpression, SaSelect, SaLambdaSelect, SaRow, SaBind
  17 from nominatim.api.connection import SearchConnection
  18 from nominatim.api.types import SearchDetails, DataLayer, GeometryFormat, Bbox
  19 import nominatim.api.results as nres
  20 from nominatim.api.search.db_search_fields import SearchData, WeightedCategories
  21 from nominatim.db.sqlalchemy_types import Geometry, IntArray
  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 no_index(expr: SaColumn) -> SaColumn:
  27     """ Wrap the given expression, so that the query planner will
  28         refrain from using the expression for index lookup.
  29     """
  30     return sa.func.coalesce(sa.null(), expr) # pylint: disable=not-callable
  31
  32
  33 def _details_to_bind_params(details: SearchDetails) -> Dict[str, Any]:
  34     """ Create a dictionary from search parameters that can be used
  35         as bind parameter for SQL execute.
  36     """
  37     return {'limit': details.max_results,
  38             'min_rank': details.min_rank,
  39             'max_rank': details.max_rank,
  40             'viewbox': details.viewbox,
  41             'viewbox2': details.viewbox_x2,
  42             'near': details.near,
  43             'near_radius': details.near_radius,
  44             'excluded': details.excluded,
  45             'countries': details.countries}
  46
  47
  48 LIMIT_PARAM: SaBind = sa.bindparam('limit')
  49 MIN_RANK_PARAM: SaBind = sa.bindparam('min_rank')
  50 MAX_RANK_PARAM: SaBind = sa.bindparam('max_rank')
  51 VIEWBOX_PARAM: SaBind = sa.bindparam('viewbox', type_=Geometry)
  52 VIEWBOX2_PARAM: SaBind = sa.bindparam('viewbox2', type_=Geometry)
  53 NEAR_PARAM: SaBind = sa.bindparam('near', type_=Geometry)
  54 NEAR_RADIUS_PARAM: SaBind = sa.bindparam('near_radius')
  55 COUNTRIES_PARAM: SaBind = sa.bindparam('countries')
  56
  57
  58 def filter_by_area(sql: SaSelect, t: SaFromClause,
  59                    details: SearchDetails, avoid_index: bool = False) -> SaSelect:
  60     """ Apply SQL statements for filtering by viewbox and near point,
  61         if applicable.
  62     """
  63     if details.near is not None and details.near_radius is not None:
  64         if details.near_radius < 0.1 and not avoid_index:
  65             sql = sql.where(t.c.geometry.within_distance(NEAR_PARAM, NEAR_RADIUS_PARAM))
  66         else:
  67             sql = sql.where(t.c.geometry.ST_Distance(NEAR_PARAM) <= NEAR_RADIUS_PARAM)
  68     if details.viewbox is not None and details.bounded_viewbox:
  69         sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM,
  70                                                 use_index=not avoid_index and
  71                                                           details.viewbox.area < 0.2))
  72
  73     return sql
  74
  75
  76 def _exclude_places(t: SaFromClause) -> Callable[[], SaExpression]:
  77     return lambda: t.c.place_id.not_in(sa.bindparam('excluded'))
  78
  79
  80 def _select_placex(t: SaFromClause) -> SaSelect:
  81     return sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
  82                      t.c.class_, t.c.type,
  83                      t.c.address, t.c.extratags,
  84                      t.c.housenumber, t.c.postcode, t.c.country_code,
  85                      t.c.wikipedia,
  86                      t.c.parent_place_id, t.c.rank_address, t.c.rank_search,
  87                      t.c.linked_place_id, t.c.admin_level,
  88                      t.c.centroid,
  89                      t.c.geometry.ST_Expand(0).label('bbox'))
  90
  91
  92 def _add_geometry_columns(sql: SaLambdaSelect, col: SaColumn, details: SearchDetails) -> SaSelect:
  93     out = []
  94
  95     if details.geometry_simplification > 0.0:
  96         col = sa.func.ST_SimplifyPreserveTopology(col, details.geometry_simplification)
  97
  98     if details.geometry_output & GeometryFormat.GEOJSON:
  99         out.append(sa.func.ST_AsGeoJSON(col, 7).label('geometry_geojson'))
 100     if details.geometry_output & GeometryFormat.TEXT:
 101         out.append(sa.func.ST_AsText(col).label('geometry_text'))
 102     if details.geometry_output & GeometryFormat.KML:
 103         out.append(sa.func.ST_AsKML(col, 7).label('geometry_kml'))
 104     if details.geometry_output & GeometryFormat.SVG:
 105         out.append(sa.func.ST_AsSVG(col, 0, 7).label('geometry_svg'))
 106
 107     return sql.add_columns(*out)
 108
 109
 110 def _make_interpolation_subquery(table: SaFromClause, inner: SaFromClause,
 111                                  numerals: List[int], details: SearchDetails) -> SaScalarSelect:
 112     all_ids = sa.func.ArrayAgg(table.c.place_id)
 113     sql = sa.select(all_ids).where(table.c.parent_place_id == inner.c.place_id)
 114
 115     if len(numerals) == 1:
 116         sql = sql.where(sa.between(numerals[0], table.c.startnumber, table.c.endnumber))\
 117                  .where((numerals[0] - table.c.startnumber) % table.c.step == 0)
 118     else:
 119         sql = sql.where(sa.or_(
 120                 *(sa.and_(sa.between(n, table.c.startnumber, table.c.endnumber),
 121                           (n - table.c.startnumber) % table.c.step == 0)
 122                   for n in numerals)))
 123
 124     if details.excluded:
 125         sql = sql.where(_exclude_places(table))
 126
 127     return sql.scalar_subquery()
 128
 129
 130 def _filter_by_layer(table: SaFromClause, layers: DataLayer) -> SaColumn:
 131     orexpr: List[SaExpression] = []
 132     if layers & DataLayer.ADDRESS and layers & DataLayer.POI:
 133         orexpr.append(no_index(table.c.rank_address).between(1, 30))
 134     elif layers & DataLayer.ADDRESS:
 135         orexpr.append(no_index(table.c.rank_address).between(1, 29))
 136         orexpr.append(sa.func.IsAddressPoint(table))
 137     elif layers & DataLayer.POI:
 138         orexpr.append(sa.and_(no_index(table.c.rank_address) == 30,
 139                               table.c.class_.not_in(('place', 'building'))))
 140
 141     if layers & DataLayer.MANMADE:
 142         exclude = []
 143         if not layers & DataLayer.RAILWAY:
 144             exclude.append('railway')
 145         if not layers & DataLayer.NATURAL:
 146             exclude.extend(('natural', 'water', 'waterway'))
 147         orexpr.append(sa.and_(table.c.class_.not_in(tuple(exclude)),
 148                               no_index(table.c.rank_address) == 0))
 149     else:
 150         include = []
 151         if layers & DataLayer.RAILWAY:
 152             include.append('railway')
 153         if layers & DataLayer.NATURAL:
 154             include.extend(('natural', 'water', 'waterway'))
 155         orexpr.append(sa.and_(table.c.class_.in_(tuple(include)),
 156                               no_index(table.c.rank_address) == 0))
 157
 158     if len(orexpr) == 1:
 159         return orexpr[0]
 160
 161     return sa.or_(*orexpr)
 162
 163
 164 def _interpolated_position(table: SaFromClause, nr: SaColumn) -> SaColumn:
 165     pos = sa.cast(nr - table.c.startnumber, sa.Float) / (table.c.endnumber - table.c.startnumber)
 166     return sa.case(
 167             (table.c.endnumber == table.c.startnumber, table.c.linegeo.ST_Centroid()),
 168             else_=table.c.linegeo.ST_LineInterpolatePoint(pos)).label('centroid')
 169
 170
 171 async def _get_placex_housenumbers(conn: SearchConnection,
 172                                    place_ids: List[int],
 173                                    details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
 174     t = conn.t.placex
 175     sql = _select_placex(t).add_columns(t.c.importance)\
 176                            .where(t.c.place_id.in_(place_ids))
 177
 178     if details.geometry_output:
 179         sql = _add_geometry_columns(sql, t.c.geometry, details)
 180
 181     for row in await conn.execute(sql):
 182         result = nres.create_from_placex_row(row, nres.SearchResult)
 183         assert result
 184         result.bbox = Bbox.from_wkb(row.bbox)
 185         yield result
 186
 187
 188 def _int_list_to_subquery(inp: List[int]) -> 'sa.Subquery':
 189     """ Create a subselect that returns the given list of integers
 190         as rows in the column 'nr'.
 191     """
 192     vtab = sa.func.JsonArrayEach(sa.type_coerce(inp, sa.JSON))\
 193                .table_valued(sa.column('value', type_=sa.JSON))
 194     return sa.select(sa.cast(sa.cast(vtab.c.value, sa.Text), sa.Integer).label('nr')).subquery()
 195
 196
 197 async def _get_osmline(conn: SearchConnection, place_ids: List[int],
 198                        numerals: List[int],
 199                        details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
 200     t = conn.t.osmline
 201
 202     values = _int_list_to_subquery(numerals)
 203     sql = sa.select(t.c.place_id, t.c.osm_id,
 204                     t.c.parent_place_id, t.c.address,
 205                     values.c.nr.label('housenumber'),
 206                     _interpolated_position(t, values.c.nr),
 207                     t.c.postcode, t.c.country_code)\
 208             .where(t.c.place_id.in_(place_ids))\
 209             .join(values, values.c.nr.between(t.c.startnumber, t.c.endnumber))
 210
 211     if details.geometry_output:
 212         sub = sql.subquery()
 213         sql = _add_geometry_columns(sa.select(sub), sub.c.centroid, details)
 214
 215     for row in await conn.execute(sql):
 216         result = nres.create_from_osmline_row(row, nres.SearchResult)
 217         assert result
 218         yield result
 219
 220
 221 async def _get_tiger(conn: SearchConnection, place_ids: List[int],
 222                      numerals: List[int], osm_id: int,
 223                      details: SearchDetails) -> AsyncIterator[nres.SearchResult]:
 224     t = conn.t.tiger
 225     values = _int_list_to_subquery(numerals)
 226     sql = sa.select(t.c.place_id, t.c.parent_place_id,
 227                     sa.literal('W').label('osm_type'),
 228                     sa.literal(osm_id).label('osm_id'),
 229                     values.c.nr.label('housenumber'),
 230                     _interpolated_position(t, values.c.nr),
 231                     t.c.postcode)\
 232             .where(t.c.place_id.in_(place_ids))\
 233             .join(values, values.c.nr.between(t.c.startnumber, t.c.endnumber))
 234
 235     if details.geometry_output:
 236         sub = sql.subquery()
 237         sql = _add_geometry_columns(sa.select(sub), sub.c.centroid, details)
 238
 239     for row in await conn.execute(sql):
 240         result = nres.create_from_tiger_row(row, nres.SearchResult)
 241         assert result
 242         yield result
 243
 244
 245 class AbstractSearch(abc.ABC):
 246     """ Encapuslation of a single lookup in the database.
 247     """
 248     SEARCH_PRIO: int = 2
 249
 250     def __init__(self, penalty: float) -> None:
 251         self.penalty = penalty
 252
 253     @abc.abstractmethod
 254     async def lookup(self, conn: SearchConnection,
 255                      details: SearchDetails) -> nres.SearchResults:
 256         """ Find results for the search in the database.
 257         """
 258
 259
 260 class NearSearch(AbstractSearch):
 261     """ Category search of a place type near the result of another search.
 262     """
 263     def __init__(self, penalty: float, categories: WeightedCategories,
 264                  search: AbstractSearch) -> None:
 265         super().__init__(penalty)
 266         self.search = search
 267         self.categories = categories
 268
 269
 270     async def lookup(self, conn: SearchConnection,
 271                      details: SearchDetails) -> nres.SearchResults:
 272         """ Find results for the search in the database.
 273         """
 274         results = nres.SearchResults()
 275         base = await self.search.lookup(conn, details)
 276
 277         if not base:
 278             return results
 279
 280         base.sort(key=lambda r: (r.accuracy, r.rank_search))
 281         max_accuracy = base[0].accuracy + 0.5
 282         if base[0].rank_address == 0:
 283             min_rank = 0
 284             max_rank = 0
 285         elif base[0].rank_address < 26:
 286             min_rank = 1
 287             max_rank = min(25, base[0].rank_address + 4)
 288         else:
 289             min_rank = 26
 290             max_rank = 30
 291         base = nres.SearchResults(r for r in base if r.source_table == nres.SourceTable.PLACEX
 292                                                      and r.accuracy <= max_accuracy
 293                                                      and r.bbox and r.bbox.area < 20
 294                                                      and r.rank_address >= min_rank
 295                                                      and r.rank_address <= max_rank)
 296
 297         if base:
 298             baseids = [b.place_id for b in base[:5] if b.place_id]
 299
 300             for category, penalty in self.categories:
 301                 await self.lookup_category(results, conn, baseids, category, penalty, details)
 302                 if len(results) >= details.max_results:
 303                     break
 304
 305         return results
 306
 307
 308     async def lookup_category(self, results: nres.SearchResults,
 309                               conn: SearchConnection, ids: List[int],
 310                               category: Tuple[str, str], penalty: float,
 311                               details: SearchDetails) -> None:
 312         """ Find places of the given category near the list of
 313             place ids and add the results to 'results'.
 314         """
 315         table = await conn.get_class_table(*category)
 316
 317         tgeom = conn.t.placex.alias('pgeom')
 318
 319         if table is None:
 320             # No classtype table available, do a simplified lookup in placex.
 321             table = conn.t.placex
 322             sql = sa.select(table.c.place_id,
 323                             sa.func.min(tgeom.c.centroid.ST_Distance(table.c.centroid))
 324                               .label('dist'))\
 325                     .join(tgeom, table.c.geometry.intersects(tgeom.c.centroid.ST_Expand(0.01)))\
 326                     .where(table.c.class_ == category[0])\
 327                     .where(table.c.type == category[1])
 328         else:
 329             # Use classtype table. We can afford to use a larger
 330             # radius for the lookup.
 331             sql = sa.select(table.c.place_id,
 332                             sa.func.min(tgeom.c.centroid.ST_Distance(table.c.centroid))
 333                               .label('dist'))\
 334                     .join(tgeom,
 335                           table.c.centroid.ST_CoveredBy(
 336                               sa.case((sa.and_(tgeom.c.rank_address > 9,
 337                                                 tgeom.c.geometry.is_area()),
 338                                        tgeom.c.geometry),
 339                                       else_ = tgeom.c.centroid.ST_Expand(0.05))))
 340
 341         inner = sql.where(tgeom.c.place_id.in_(ids))\
 342                    .group_by(table.c.place_id).subquery()
 343
 344         t = conn.t.placex
 345         sql = _select_placex(t).add_columns((-inner.c.dist).label('importance'))\
 346                                .join(inner, inner.c.place_id == t.c.place_id)\
 347                                .order_by(inner.c.dist)
 348
 349         sql = sql.where(no_index(t.c.rank_address).between(MIN_RANK_PARAM, MAX_RANK_PARAM))
 350         if details.countries:
 351             sql = sql.where(t.c.country_code.in_(COUNTRIES_PARAM))
 352         if details.excluded:
 353             sql = sql.where(_exclude_places(t))
 354         if details.layers is not None:
 355             sql = sql.where(_filter_by_layer(t, details.layers))
 356
 357         sql = sql.limit(LIMIT_PARAM)
 358         for row in await conn.execute(sql, _details_to_bind_params(details)):
 359             result = nres.create_from_placex_row(row, nres.SearchResult)
 360             assert result
 361             result.accuracy = self.penalty + penalty
 362             result.bbox = Bbox.from_wkb(row.bbox)
 363             results.append(result)
 364
 365
 366
 367 class PoiSearch(AbstractSearch):
 368     """ Category search in a geographic area.
 369     """
 370     def __init__(self, sdata: SearchData) -> None:
 371         super().__init__(sdata.penalty)
 372         self.qualifiers = sdata.qualifiers
 373         self.countries = sdata.countries
 374
 375
 376     async def lookup(self, conn: SearchConnection,
 377                      details: SearchDetails) -> nres.SearchResults:
 378         """ Find results for the search in the database.
 379         """
 380         bind_params = _details_to_bind_params(details)
 381         t = conn.t.placex
 382
 383         rows: List[SaRow] = []
 384
 385         if details.near and details.near_radius is not None and details.near_radius < 0.2:
 386             # simply search in placex table
 387             def _base_query() -> SaSelect:
 388                 return _select_placex(t) \
 389                            .add_columns((-t.c.centroid.ST_Distance(NEAR_PARAM))
 390                                          .label('importance'))\
 391                            .where(t.c.linked_place_id == None) \
 392                            .where(t.c.geometry.within_distance(NEAR_PARAM, NEAR_RADIUS_PARAM)) \
 393                            .order_by(t.c.centroid.ST_Distance(NEAR_PARAM)) \
 394                            .limit(LIMIT_PARAM)
 395
 396             classtype = self.qualifiers.values
 397             if len(classtype) == 1:
 398                 cclass, ctype = classtype[0]
 399                 sql: SaLambdaSelect = sa.lambda_stmt(lambda: _base_query()
 400                                                  .where(t.c.class_ == cclass)
 401                                                  .where(t.c.type == ctype))
 402             else:
 403                 sql = _base_query().where(sa.or_(*(sa.and_(t.c.class_ == cls, t.c.type == typ)
 404                                                    for cls, typ in classtype)))
 405
 406             if self.countries:
 407                 sql = sql.where(t.c.country_code.in_(self.countries.values))
 408
 409             if details.viewbox is not None and details.bounded_viewbox:
 410                 sql = sql.where(t.c.geometry.intersects(VIEWBOX_PARAM))
 411
 412             rows.extend(await conn.execute(sql, bind_params))
 413         else:
 414             # use the class type tables
 415             for category in self.qualifiers.values:
 416                 table = await conn.get_class_table(*category)
 417                 if table is not None:
 418                     sql = _select_placex(t)\
 419                                .add_columns(t.c.importance)\
 420                                .join(table, t.c.place_id == table.c.place_id)\
 421                                .where(t.c.class_ == category[0])\
 422                                .where(t.c.type == category[1])
 423
 424                     if details.viewbox is not None and details.bounded_viewbox:
 425                         sql = sql.where(table.c.centroid.intersects(VIEWBOX_PARAM))
 426
 427                     if details.near and details.near_radius is not None:
 428                         sql = sql.order_by(table.c.centroid.ST_Distance(NEAR_PARAM))\
 429                                  .where(table.c.centroid.within_distance(NEAR_PARAM,
 430                                                                          NEAR_RADIUS_PARAM))
 431
 432                     if self.countries:
 433                         sql = sql.where(t.c.country_code.in_(self.countries.values))
 434
 435                     sql = sql.limit(LIMIT_PARAM)
 436                     rows.extend(await conn.execute(sql, bind_params))
 437
 438         results = nres.SearchResults()
 439         for row in rows:
 440             result = nres.create_from_placex_row(row, nres.SearchResult)
 441             assert result
 442             result.accuracy = self.penalty + self.qualifiers.get_penalty((row.class_, row.type))
 443             result.bbox = Bbox.from_wkb(row.bbox)
 444             results.append(result)
 445
 446         return results
 447
 448
 449 class CountrySearch(AbstractSearch):
 450     """ Search for a country name or country code.
 451     """
 452     SEARCH_PRIO = 0
 453
 454     def __init__(self, sdata: SearchData) -> None:
 455         super().__init__(sdata.penalty)
 456         self.countries = sdata.countries
 457
 458
 459     async def lookup(self, conn: SearchConnection,
 460                      details: SearchDetails) -> nres.SearchResults:
 461         """ Find results for the search in the database.
 462         """
 463         t = conn.t.placex
 464
 465         ccodes = self.countries.values
 466         sql = _select_placex(t)\
 467                 .add_columns(t.c.importance)\
 468                 .where(t.c.country_code.in_(ccodes))\
 469                 .where(t.c.rank_address == 4)
 470
 471         if details.geometry_output:
 472             sql = _add_geometry_columns(sql, t.c.geometry, details)
 473
 474         if details.excluded:
 475             sql = sql.where(_exclude_places(t))
 476
 477         sql = filter_by_area(sql, t, details)
 478
 479         results = nres.SearchResults()
 480         for row in await conn.execute(sql, _details_to_bind_params(details)):
 481             result = nres.create_from_placex_row(row, nres.SearchResult)
 482             assert result
 483             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
 484             result.bbox = Bbox.from_wkb(row.bbox)
 485             results.append(result)
 486
 487         if not results:
 488             results = await self.lookup_in_country_table(conn, details)
 489
 490         if results:
 491             details.min_rank = min(5, details.max_rank)
 492             details.max_rank = min(25, details.max_rank)
 493
 494         return results
 495
 496
 497     async def lookup_in_country_table(self, conn: SearchConnection,
 498                                       details: SearchDetails) -> nres.SearchResults:
 499         """ Look up the country in the fallback country tables.
 500         """
 501         # Avoid the fallback search when this is a more search. Country results
 502         # usually are in the first batch of results and it is not possible
 503         # to exclude these fallbacks.
 504         if details.excluded:
 505             return nres.SearchResults()
 506
 507         t = conn.t.country_name
 508         tgrid = conn.t.country_grid
 509
 510         sql = sa.select(tgrid.c.country_code,
 511                         tgrid.c.geometry.ST_Centroid().ST_Collect().ST_Centroid()
 512                               .label('centroid'),
 513                         tgrid.c.geometry.ST_Collect().ST_Expand(0).label('bbox'))\
 514                 .where(tgrid.c.country_code.in_(self.countries.values))\
 515                 .group_by(tgrid.c.country_code)
 516
 517         sql = filter_by_area(sql, tgrid, details, avoid_index=True)
 518
 519         sub = sql.subquery('grid')
 520
 521         sql = sa.select(t.c.country_code,
 522                         t.c.name.merge(t.c.derived_name).label('name'),
 523                         sub.c.centroid, sub.c.bbox)\
 524                 .join(sub, t.c.country_code == sub.c.country_code)
 525
 526         if details.geometry_output:
 527             sql = _add_geometry_columns(sql, sub.c.centroid, details)
 528
 529         results = nres.SearchResults()
 530         for row in await conn.execute(sql, _details_to_bind_params(details)):
 531             result = nres.create_from_country_row(row, nres.SearchResult)
 532             assert result
 533             result.bbox = Bbox.from_wkb(row.bbox)
 534             result.accuracy = self.penalty + self.countries.get_penalty(row.country_code, 5.0)
 535             results.append(result)
 536
 537         return results
 538
 539
 540
 541 class PostcodeSearch(AbstractSearch):
 542     """ Search for a postcode.
 543     """
 544     def __init__(self, extra_penalty: float, sdata: SearchData) -> None:
 545         super().__init__(sdata.penalty + extra_penalty)
 546         self.countries = sdata.countries
 547         self.postcodes = sdata.postcodes
 548         self.lookups = sdata.lookups
 549         self.rankings = sdata.rankings
 550
 551
 552     async def lookup(self, conn: SearchConnection,
 553                      details: SearchDetails) -> nres.SearchResults:
 554         """ Find results for the search in the database.
 555         """
 556         t = conn.t.postcode
 557         pcs = self.postcodes.values
 558
 559         sql = sa.select(t.c.place_id, t.c.parent_place_id,
 560                         t.c.rank_search, t.c.rank_address,
 561                         t.c.postcode, t.c.country_code,
 562                         t.c.geometry.label('centroid'))\
 563                 .where(t.c.postcode.in_(pcs))
 564
 565         if details.geometry_output:
 566             sql = _add_geometry_columns(sql, t.c.geometry, details)
 567
 568         penalty: SaExpression = sa.literal(self.penalty)
 569
 570         if details.viewbox is not None and not details.bounded_viewbox:
 571             penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM), 0.0),
 572                                (t.c.geometry.intersects(VIEWBOX2_PARAM), 0.5),
 573                                else_=1.0)
 574
 575         if details.near is not None:
 576             sql = sql.order_by(t.c.geometry.ST_Distance(NEAR_PARAM))
 577
 578         sql = filter_by_area(sql, t, details)
 579
 580         if self.countries:
 581             sql = sql.where(t.c.country_code.in_(self.countries.values))
 582
 583         if details.excluded:
 584             sql = sql.where(_exclude_places(t))
 585
 586         if self.lookups:
 587             assert len(self.lookups) == 1
 588             tsearch = conn.t.search_name
 589             sql = sql.where(tsearch.c.place_id == t.c.parent_place_id)\
 590                      .where((tsearch.c.name_vector + tsearch.c.nameaddress_vector)
 591                                      .contains(sa.type_coerce(self.lookups[0].tokens,
 592                                                               IntArray)))
 593
 594         for ranking in self.rankings:
 595             penalty += ranking.sql_penalty(conn.t.search_name)
 596         penalty += sa.case(*((t.c.postcode == v, p) for v, p in self.postcodes),
 597                        else_=1.0)
 598
 599
 600         sql = sql.add_columns(penalty.label('accuracy'))
 601         sql = sql.order_by('accuracy').limit(LIMIT_PARAM)
 602
 603         results = nres.SearchResults()
 604         for row in await conn.execute(sql, _details_to_bind_params(details)):
 605             result = nres.create_from_postcode_row(row, nres.SearchResult)
 606             assert result
 607             result.accuracy = row.accuracy
 608             results.append(result)
 609
 610         return results
 611
 612
 613
 614 class PlaceSearch(AbstractSearch):
 615     """ Generic search for an address or named place.
 616     """
 617     SEARCH_PRIO = 1
 618
 619     def __init__(self, extra_penalty: float, sdata: SearchData, expected_count: int) -> None:
 620         super().__init__(sdata.penalty + extra_penalty)
 621         self.countries = sdata.countries
 622         self.postcodes = sdata.postcodes
 623         self.housenumbers = sdata.housenumbers
 624         self.qualifiers = sdata.qualifiers
 625         self.lookups = sdata.lookups
 626         self.rankings = sdata.rankings
 627         self.expected_count = expected_count
 628
 629
 630     async def lookup(self, conn: SearchConnection,
 631                      details: SearchDetails) -> nres.SearchResults:
 632         """ Find results for the search in the database.
 633         """
 634         t = conn.t.placex
 635         tsearch = conn.t.search_name
 636
 637         sql: SaLambdaSelect = sa.lambda_stmt(lambda:
 638                   _select_placex(t).where(t.c.place_id == tsearch.c.place_id))
 639
 640
 641         if details.geometry_output:
 642             sql = _add_geometry_columns(sql, t.c.geometry, details)
 643
 644         penalty: SaExpression = sa.literal(self.penalty)
 645         for ranking in self.rankings:
 646             penalty += ranking.sql_penalty(tsearch)
 647
 648         for lookup in self.lookups:
 649             sql = sql.where(lookup.sql_condition(tsearch))
 650
 651         if self.countries:
 652             sql = sql.where(tsearch.c.country_code.in_(self.countries.values))
 653
 654         if self.postcodes:
 655             # if a postcode is given, don't search for state or country level objects
 656             sql = sql.where(tsearch.c.address_rank > 9)
 657             tpc = conn.t.postcode
 658             pcs = self.postcodes.values
 659             if self.expected_count > 5000:
 660                 # Many results expected. Restrict by postcode.
 661                 sql = sql.where(sa.select(tpc.c.postcode)
 662                                   .where(tpc.c.postcode.in_(pcs))
 663                                   .where(tsearch.c.centroid.within_distance(tpc.c.geometry, 0.12))
 664                                   .exists())
 665
 666             # Less results, only have a preference for close postcodes
 667             pc_near = sa.select(sa.func.min(tpc.c.geometry.ST_Distance(tsearch.c.centroid)))\
 668                       .where(tpc.c.postcode.in_(pcs))\
 669                       .scalar_subquery()
 670             penalty += sa.case((t.c.postcode.in_(pcs), 0.0),
 671                                else_=sa.func.coalesce(pc_near, cast(SaColumn, 2.0)))
 672
 673         if details.viewbox is not None:
 674             if details.bounded_viewbox:
 675                 sql = sql.where(tsearch.c.centroid
 676                                          .intersects(VIEWBOX_PARAM,
 677                                                      use_index=details.viewbox.area < 0.2))
 678             elif not self.postcodes and not self.housenumbers and self.expected_count >= 10000:
 679                 sql = sql.where(tsearch.c.centroid
 680                                          .intersects(VIEWBOX2_PARAM,
 681                                                      use_index=details.viewbox.area < 0.5))
 682             else:
 683                 penalty += sa.case((t.c.geometry.intersects(VIEWBOX_PARAM, use_index=False), 0.0),
 684                                    (t.c.geometry.intersects(VIEWBOX2_PARAM, use_index=False), 0.5),
 685                                    else_=1.0)
 686
 687         if details.near is not None:
 688             if details.near_radius is not None:
 689                 if details.near_radius < 0.1:
 690                     sql = sql.where(tsearch.c.centroid.within_distance(NEAR_PARAM,
 691                                                                        NEAR_RADIUS_PARAM))
 692                 else:
 693                     sql = sql.where(tsearch.c.centroid
 694                                              .ST_Distance(NEAR_PARAM) <  NEAR_RADIUS_PARAM)
 695             sql = sql.add_columns((-tsearch.c.centroid.ST_Distance(NEAR_PARAM))
 696                                       .label('importance'))
 697             sql = sql.order_by(sa.desc(sa.text('importance')))
 698         else:
 699             if self.expected_count < 10000\
 700                or (details.viewbox is not None and details.viewbox.area < 0.5):
 701                 sql = sql.order_by(
 702                         penalty - sa.case((tsearch.c.importance > 0, tsearch.c.importance),
 703                                     else_=0.75001-(sa.cast(tsearch.c.search_rank, sa.Float())/40)))
 704             sql = sql.add_columns(t.c.importance)
 705
 706
 707         sql = sql.add_columns(penalty.label('accuracy'))
 708
 709         if self.expected_count < 10000:
 710             sql = sql.order_by(sa.text('accuracy'))
 711
 712         if self.housenumbers:
 713             hnr_list = '|'.join(self.housenumbers.values)
 714             sql = sql.where(tsearch.c.address_rank.between(16, 30))\
 715                      .where(sa.or_(tsearch.c.address_rank < 30,
 716                                    sa.func.RegexpWord(hnr_list, t.c.housenumber)))
 717
 718             # Cross check for housenumbers, need to do that on a rather large
 719             # set. Worst case there are 40.000 main streets in OSM.
 720             inner = sql.limit(10000).subquery()
 721
 722             # Housenumbers from placex
 723             thnr = conn.t.placex.alias('hnr')
 724             pid_list = sa.func.ArrayAgg(thnr.c.place_id)
 725             place_sql = sa.select(pid_list)\
 726                           .where(thnr.c.parent_place_id == inner.c.place_id)\
 727                           .where(sa.func.RegexpWord(hnr_list, thnr.c.housenumber))\
 728                           .where(thnr.c.linked_place_id == None)\
 729                           .where(thnr.c.indexed_status == 0)
 730
 731             if details.excluded:
 732                 place_sql = place_sql.where(thnr.c.place_id.not_in(sa.bindparam('excluded')))
 733             if self.qualifiers:
 734                 place_sql = place_sql.where(self.qualifiers.sql_restrict(thnr))
 735
 736             numerals = [int(n) for n in self.housenumbers.values
 737                         if n.isdigit() and len(n) < 8]
 738             interpol_sql: SaColumn
 739             tiger_sql: SaColumn
 740             if numerals and \
 741                (not self.qualifiers or ('place', 'house') in self.qualifiers.values):
 742                 # Housenumbers from interpolations
 743                 interpol_sql = _make_interpolation_subquery(conn.t.osmline, inner,
 744                                                             numerals, details)
 745                 # Housenumbers from Tiger
 746                 tiger_sql = sa.case((inner.c.country_code == 'us',
 747                                      _make_interpolation_subquery(conn.t.tiger, inner,
 748                                                                   numerals, details)
 749                                     ), else_=None)
 750             else:
 751                 interpol_sql = sa.null()
 752                 tiger_sql = sa.null()
 753
 754             unsort = sa.select(inner, place_sql.scalar_subquery().label('placex_hnr'),
 755                                interpol_sql.label('interpol_hnr'),
 756                                tiger_sql.label('tiger_hnr')).subquery('unsort')
 757             sql = sa.select(unsort)\
 758                     .order_by(sa.case((unsort.c.placex_hnr != None, 1),
 759                                       (unsort.c.interpol_hnr != None, 2),
 760                                       (unsort.c.tiger_hnr != None, 3),
 761                                       else_=4),
 762                               unsort.c.accuracy)
 763         else:
 764             sql = sql.where(t.c.linked_place_id == None)\
 765                      .where(t.c.indexed_status == 0)
 766             if self.qualifiers:
 767                 sql = sql.where(self.qualifiers.sql_restrict(t))
 768             if details.excluded:
 769                 sql = sql.where(_exclude_places(tsearch))
 770             if details.min_rank > 0:
 771                 sql = sql.where(sa.or_(tsearch.c.address_rank >= MIN_RANK_PARAM,
 772                                        tsearch.c.search_rank >= MIN_RANK_PARAM))
 773             if details.max_rank < 30:
 774                 sql = sql.where(sa.or_(tsearch.c.address_rank <= MAX_RANK_PARAM,
 775                                        tsearch.c.search_rank <= MAX_RANK_PARAM))
 776             if details.layers is not None:
 777                 sql = sql.where(_filter_by_layer(t, details.layers))
 778
 779         sql = sql.limit(LIMIT_PARAM)
 780
 781         results = nres.SearchResults()
 782         for row in await conn.execute(sql, _details_to_bind_params(details)):
 783             result = nres.create_from_placex_row(row, nres.SearchResult)
 784             assert result
 785             result.bbox = Bbox.from_wkb(row.bbox)
 786             result.accuracy = row.accuracy
 787             if self.housenumbers and row.rank_address < 30:
 788                 if row.placex_hnr:
 789                     subs = _get_placex_housenumbers(conn, row.placex_hnr, details)
 790                 elif row.interpol_hnr:
 791                     subs = _get_osmline(conn, row.interpol_hnr, numerals, details)
 792                 elif row.tiger_hnr:
 793                     subs = _get_tiger(conn, row.tiger_hnr, numerals, row.osm_id, details)
 794                 else:
 795                     subs = None
 796
 797                 if subs is not None:
 798                     async for sub in subs:
 799                         assert sub.housenumber
 800                         sub.accuracy = result.accuracy
 801                         if not any(nr in self.housenumbers.values
 802                                    for nr in sub.housenumber.split(';')):
 803                             sub.accuracy += 0.6
 804                         results.append(sub)
 805
 806                 # Only add the street as a result, if it meets all other
 807                 # filter conditions.
 808                 if (not details.excluded or result.place_id not in details.excluded)\
 809                    and (not self.qualifiers or result.category in self.qualifiers.values)\
 810                    and result.rank_address >= details.min_rank:
 811                     result.accuracy += 1.0 # penalty for missing housenumber
 812                     results.append(result)
 813             else:
 814                 results.append(result)
 815
 816         return results