internal use only. That's why they are implemented as free-standing functions
instead of member functions.
"""
-from typing import Optional, Tuple, Dict, Sequence, TypeVar, Type, List, Any
+from typing import Optional, Tuple, Dict, Sequence, TypeVar, Type, List, cast
import enum
import dataclasses
import datetime as dt
import sqlalchemy as sa
from nominatim.typing import SaSelect, SaRow
+from nominatim.db.sqlalchemy_types import Geometry
from nominatim.api.types import Point, Bbox, LookupDetails
from nominatim.api.connection import SearchConnection
from nominatim.api.logging import log
# This file defines complex result data classes.
# pylint: disable=too-many-instance-attributes
+def _mingle_name_tags(names: Optional[Dict[str, str]]) -> Optional[Dict[str, str]]:
+ """ Mix-in names from linked places, so that they show up
+ as standard names where necessary.
+ """
+ if not names:
+ return None
+
+ out = {}
+ for k, v in names.items():
+ if k.startswith('_place_'):
+ outkey = k[7:]
+ out[k if outkey in names else outkey] = v
+ else:
+ out[k] = v
+
+ return out
+
+
class SourceTable(enum.Enum):
- """ Enumeration of kinds of results.
+ """ The `SourceTable` type lists the possible sources a result can have.
"""
PLACEX = 1
+ """ The placex table is the main source for result usually containing
+ OSM data.
+ """
OSMLINE = 2
+ """ The osmline table contains address interpolations from OSM data.
+ Interpolation addresses are always approximate. The OSM id in the
+ result refers to the OSM way with the interpolation line object.
+ """
TIGER = 3
+ """ TIGER address data contains US addresses imported on the side,
+ see [Installing TIGER data](../customize/Tiger.md).
+ TIGER address are also interpolations. The addresses always refer
+ to a street from OSM data. The OSM id in the result refers to
+ that street.
+ """
POSTCODE = 4
+ """ The postcode table contains artificial centroids for postcodes,
+ computed from the postcodes available with address points. Results
+ are always approximate.
+ """
COUNTRY = 5
+ """ The country table provides a fallback, when country data is missing
+ in the OSM data.
+ """
@dataclasses.dataclass
class AddressLine:
- """ Detailed information about a related place.
+ """ The `AddressLine` may contain the following fields about a related place
+ and its function as an address object. Most fields are optional.
+ Their presence depends on the kind and function of the address part.
"""
- place_id: Optional[int]
- osm_object: Optional[Tuple[str, int]]
category: Tuple[str, str]
+ """ Main category of the place, described by a key-value pair.
+ """
names: Dict[str, str]
- extratags: Optional[Dict[str, str]]
-
- admin_level: Optional[int]
+ """ All available names for the place including references, alternative
+ names and translations.
+ """
fromarea: bool
+ """ If true, then the exact area of the place is known. Without area
+ information, Nominatim has to make an educated guess if an address
+ belongs to one place or another.
+ """
isaddress: bool
+ """ If true, this place should be considered for the final address display.
+ Nominatim will sometimes include more than one candidate for
+ the address in the list when it cannot reliably determine where the
+ place belongs. It will consider names of all candidates when searching
+ but when displaying the result, only the most likely candidate should
+ be shown.
+ """
rank_address: int
+ """ [Address rank](../customize/Ranking.md#address-rank) of the place.
+ """
distance: float
+ """ Distance in degrees between the result place and this address part.
+ """
+ place_id: Optional[int] = None
+ """ Internal ID of the place.
+ """
+ osm_object: Optional[Tuple[str, int]] = None
+ """ OSM type and ID of the place, if such an object exists.
+ """
+ extratags: Optional[Dict[str, str]] = None
+ """ Any extra information available about the place. This is a dictionary
+ that usually contains OSM tag key-value pairs.
+ """
+
+ admin_level: Optional[int] = None
+ """ The administrative level of a boundary as tagged in the input data.
+ This field is only meaningful for places of the category
+ (boundary, administrative).
+ """
local_name: Optional[str] = None
+ """ Place holder for localization of this address part. See
+ [Localization](#localization) below.
+ """
class AddressLines(List[AddressLine]):
def localize(self, locales: Locales) -> List[str]:
""" Set the local name of address parts according to the chosen
- locale. Return the list of local names without duplications.
+ locale. Return the list of local names without duplicates.
Only address parts that are marked as isaddress are localized
and returned.
@dataclasses.dataclass
class WordInfo:
- """ Detailed information about a search term.
+ """ Each entry in the list of search terms contains the
+ following detailed information.
"""
word_id: int
+ """ Internal identifier for the word.
+ """
word_token: str
+ """ Normalised and transliterated form of the word.
+ This form is used for searching.
+ """
word: Optional[str] = None
+ """ Untransliterated form, if available.
+ """
WordInfos = Sequence[WordInfo]
place_id : Optional[int] = None
osm_object: Optional[Tuple[str, int]] = None
+ parent_place_id: Optional[int] = None
+ linked_place_id: Optional[int] = None
+ admin_level: int = 15
locale_name: Optional[str] = None
display_name: Optional[str] = None
""" A search result with more internal information from the database
added.
"""
- parent_place_id: Optional[int] = None
- linked_place_id: Optional[int] = None
- admin_level: int = 15
indexed_date: Optional[dt.datetime] = None
place_id=row.place_id,
osm_object=(row.osm_type, row.osm_id),
category=(row.class_, row.type),
- names=row.name,
+ parent_place_id = row.parent_place_id,
+ linked_place_id = getattr(row, 'linked_place_id', None),
+ admin_level = getattr(row, 'admin_level', 15),
+ names=_mingle_name_tags(row.name),
address=row.address,
extratags=row.extratags,
housenumber=row.housenumber,
rank_search=row.rank_search,
importance=row.importance,
country_code=row.country_code,
- centroid=Point.from_wkb(row.centroid.data),
+ centroid=Point.from_wkb(row.centroid),
geometry=_filter_geometries(row))
res = class_type(source_table=SourceTable.OSMLINE,
place_id=row.place_id,
+ parent_place_id = row.parent_place_id,
osm_object=('W', row.osm_id),
category=('place', 'houses' if hnr is None else 'house'),
address=row.address,
postcode=row.postcode,
country_code=row.country_code,
- centroid=Point.from_wkb(row.centroid.data),
+ centroid=Point.from_wkb(row.centroid),
geometry=_filter_geometries(row))
if hnr is None:
def create_from_tiger_row(row: Optional[SaRow],
- class_type: Type[BaseResultT]) -> Optional[BaseResultT]:
+ class_type: Type[BaseResultT],
+ osm_type: Optional[str] = None,
+ osm_id: Optional[int] = None) -> Optional[BaseResultT]:
""" Construct a new result and add the data from the result row
from the Tiger data interpolation table. 'class_type' defines
the type of result to return. Returns None if the row is None.
res = class_type(source_table=SourceTable.TIGER,
place_id=row.place_id,
- osm_object=(row.osm_type, row.osm_id),
+ parent_place_id = row.parent_place_id,
+ osm_object=(osm_type or row.osm_type, osm_id or row.osm_id),
category=('place', 'houses' if hnr is None else 'house'),
postcode=row.postcode,
country_code='us',
- centroid=Point.from_wkb(row.centroid.data),
+ centroid=Point.from_wkb(row.centroid),
geometry=_filter_geometries(row))
if hnr is None:
return class_type(source_table=SourceTable.POSTCODE,
place_id=row.place_id,
+ parent_place_id = row.parent_place_id,
category=('place', 'postcode'),
names={'ref': row.postcode},
rank_search=row.rank_search,
rank_address=row.rank_address,
country_code=row.country_code,
- centroid=Point.from_wkb(row.centroid.data),
+ centroid=Point.from_wkb(row.centroid),
geometry=_filter_geometries(row))
return class_type(source_table=SourceTable.COUNTRY,
category=('place', 'country'),
- centroid=Point.from_wkb(row.centroid.data),
+ centroid=Point.from_wkb(row.centroid),
names=row.name,
rank_address=4, rank_search=4,
- country_code=row.country_code)
+ country_code=row.country_code,
+ geometry=_filter_geometries(row))
async def add_result_details(conn: SearchConnection, results: List[BaseResultT],
log().comment('Query keywords')
for result in results:
await complete_keywords(conn, result)
+ for result in results:
+ result.localize(details.locales)
-def _result_row_to_address_row(row: SaRow) -> AddressLine:
+def _result_row_to_address_row(row: SaRow, isaddress: Optional[bool] = None) -> AddressLine:
""" Create a new AddressLine from the results of a datbase query.
"""
- extratags: Dict[str, str] = getattr(row, 'extratags', {})
- if hasattr(row, 'place_type') and row.place_type:
- extratags['place'] = row.place_type
+ extratags: Dict[str, str] = getattr(row, 'extratags', {}) or {}
+ if 'linked_place' in extratags:
+ extratags['place'] = extratags['linked_place']
- names = row.name
+ names = _mingle_name_tags(row.name) or {}
if getattr(row, 'housenumber', None) is not None:
- if names is None:
- names = {}
names['housenumber'] = row.housenumber
+ if isaddress is None:
+ isaddress = getattr(row, 'isaddress', True)
+
return AddressLine(place_id=row.place_id,
osm_object=None if row.osm_type is None else (row.osm_type, row.osm_id),
category=(getattr(row, 'class'), row.type),
extratags=extratags,
admin_level=row.admin_level,
fromarea=row.fromarea,
- isaddress=getattr(row, 'isaddress', True),
+ isaddress=isaddress,
rank_address=row.rank_address,
distance=row.distance)
+def _get_address_lookup_id(result: BaseResultT) -> int:
+ assert result.place_id
+ if result.source_table != SourceTable.PLACEX or result.rank_search > 27:
+ return result.parent_place_id or result.place_id
+
+ return result.linked_place_id or result.place_id
+
+
+async def _finalize_entry(conn: SearchConnection, result: BaseResultT) -> None:
+ assert result.address_rows is not None
+ postcode = result.postcode
+ if not postcode and result.address:
+ postcode = result.address.get('postcode')
+ if postcode and ',' not in postcode and ';' not in postcode:
+ result.address_rows.append(AddressLine(
+ category=('place', 'postcode'),
+ names={'ref': postcode},
+ fromarea=False, isaddress=True, rank_address=5,
+ distance=0.0))
+ if result.country_code:
+ async def _get_country_names() -> Optional[Dict[str, str]]:
+ t = conn.t.country_name
+ sql = sa.select(t.c.name, t.c.derived_name)\
+ .where(t.c.country_code == result.country_code)
+ for cres in await conn.execute(sql):
+ names = cast(Dict[str, str], cres[0])
+ if cres[1]:
+ names.update(cast(Dict[str, str], cres[1]))
+ return names
+ return None
+
+ country_names = await conn.get_cached_value('COUNTRY_NAME',
+ result.country_code,
+ _get_country_names)
+ if country_names:
+ result.address_rows.append(AddressLine(
+ category=('place', 'country'),
+ names=country_names,
+ fromarea=False, isaddress=True, rank_address=4,
+ distance=0.0))
+ result.address_rows.append(AddressLine(
+ category=('place', 'country_code'),
+ names={'ref': result.country_code}, extratags = {},
+ fromarea=True, isaddress=False, rank_address=4,
+ distance=0.0))
+
+
+def _setup_address_details(result: BaseResultT) -> None:
+ """ Retrieve information about places that make up the address of the result.
+ """
+ result.address_rows = AddressLines()
+ if result.names:
+ result.address_rows.append(AddressLine(
+ place_id=result.place_id,
+ osm_object=result.osm_object,
+ category=result.category,
+ names=result.names,
+ extratags=result.extratags or {},
+ admin_level=result.admin_level,
+ fromarea=True, isaddress=True,
+ rank_address=result.rank_address or 100, distance=0.0))
+ if result.source_table == SourceTable.PLACEX and result.address:
+ housenumber = result.address.get('housenumber')\
+ or result.address.get('streetnumber')\
+ or result.address.get('conscriptionnumber')
+ elif result.housenumber:
+ housenumber = result.housenumber
+ else:
+ housenumber = None
+ if housenumber:
+ result.address_rows.append(AddressLine(
+ category=('place', 'house_number'),
+ names={'ref': housenumber},
+ fromarea=True, isaddress=True, rank_address=28, distance=0))
+ if result.address and '_unlisted_place' in result.address:
+ result.address_rows.append(AddressLine(
+ category=('place', 'locality'),
+ names={'name': result.address['_unlisted_place']},
+ fromarea=False, isaddress=True, rank_address=25, distance=0))
+
+
async def complete_address_details(conn: SearchConnection, results: List[BaseResultT]) -> None:
""" Retrieve information about places that make up the address of the result.
"""
- def get_hnr(result: BaseResult) -> Tuple[int, int]:
- housenumber = -1
- if result.source_table in (SourceTable.TIGER, SourceTable.OSMLINE):
- if result.housenumber is not None:
- housenumber = int(result.housenumber)
- elif result.extratags is not None and 'startnumber' in result.extratags:
- # details requests do not come with a specific house number
- housenumber = int(result.extratags['startnumber'])
- assert result.place_id
- return result.place_id, housenumber
+ for result in results:
+ _setup_address_details(result)
+
+ ### Lookup entries from place_address line
- data: List[Tuple[Any, ...]] = [get_hnr(r) for r in results if r.place_id]
+ lookup_ids = [{'pid': r.place_id,
+ 'lid': _get_address_lookup_id(r),
+ 'names': list(r.address.values()) if r.address else [],
+ 'c': ('SRID=4326;' + r.centroid.to_wkt()) if r.centroid else '' }
+ for r in results if r.place_id]
- if not data:
+ if not lookup_ids:
return
- values = sa.values(sa.column('place_id', type_=sa.Integer),
- sa.column('housenumber', type_=sa.Integer),
- name='places',
- literal_binds=True).data(data)
-
- sfn = sa.func.get_addressdata(values.c.place_id, values.c.housenumber)\
- .table_valued( # type: ignore[no-untyped-call]
- sa.column('place_id', type_=sa.Integer),
- 'osm_type',
- sa.column('osm_id', type_=sa.BigInteger),
- sa.column('name', type_=conn.t.types.Composite),
- 'class', 'type', 'place_type',
- sa.column('admin_level', type_=sa.Integer),
- sa.column('fromarea', type_=sa.Boolean),
- sa.column('isaddress', type_=sa.Boolean),
- sa.column('rank_address', type_=sa.SmallInteger),
- sa.column('distance', type_=sa.Float),
- joins_implicitly=True)
-
- sql = sa.select(values.c.place_id.label('result_place_id'), sfn)\
- .order_by(values.c.place_id,
- sa.column('rank_address').desc(),
- sa.column('isaddress').desc())
+ ltab = sa.func.JsonArrayEach(sa.type_coerce(lookup_ids, sa.JSON))\
+ .table_valued(sa.column('value', type_=sa.JSON))
+
+ t = conn.t.placex
+ taddr = conn.t.addressline
+
+ sql = sa.select(ltab.c.value['pid'].as_integer().label('src_place_id'),
+ t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
+ t.c.class_, t.c.type, t.c.extratags,
+ t.c.admin_level, taddr.c.fromarea,
+ sa.case((t.c.rank_address == 11, 5),
+ else_=t.c.rank_address).label('rank_address'),
+ taddr.c.distance, t.c.country_code, t.c.postcode)\
+ .join(taddr, sa.or_(taddr.c.place_id == ltab.c.value['pid'].as_integer(),
+ taddr.c.place_id == ltab.c.value['lid'].as_integer()))\
+ .join(t, taddr.c.address_place_id == t.c.place_id)\
+ .order_by('src_place_id')\
+ .order_by(sa.column('rank_address').desc())\
+ .order_by((taddr.c.place_id == ltab.c.value['pid'].as_integer()).desc())\
+ .order_by(sa.case((sa.func.CrosscheckNames(t.c.name, ltab.c.value['names']), 2),
+ (taddr.c.isaddress, 0),
+ (sa.and_(taddr.c.fromarea,
+ t.c.geometry.ST_Contains(
+ sa.func.ST_GeomFromEWKT(
+ ltab.c.value['c'].as_string()))), 1),
+ else_=-1).desc())\
+ .order_by(taddr.c.fromarea.desc())\
+ .order_by(taddr.c.distance.desc())\
+ .order_by(t.c.rank_search.desc())
+
current_result = None
+ current_rank_address = -1
for row in await conn.execute(sql):
- if current_result is None or row.result_place_id != current_result.place_id:
- for result in results:
- if result.place_id == row.result_place_id:
- current_result = result
- break
+ if current_result is None or row.src_place_id != current_result.place_id:
+ current_result = next((r for r in results if r.place_id == row.src_place_id), None)
+ assert current_result is not None
+ current_rank_address = -1
+
+ location_isaddress = row.rank_address != current_rank_address
+
+ if current_result.country_code is None and row.country_code:
+ current_result.country_code = row.country_code
+
+ if row.type in ('postcode', 'postal_code') and location_isaddress:
+ if not row.fromarea or \
+ (current_result.address and 'postcode' in current_result.address):
+ location_isaddress = False
else:
- assert False
- current_result.address_rows = AddressLines()
- current_result.address_rows.append(_result_row_to_address_row(row))
+ current_result.postcode = None
+
+ assert current_result.address_rows is not None
+ current_result.address_rows.append(_result_row_to_address_row(row, location_isaddress))
+ current_rank_address = row.rank_address
+
+ for result in results:
+ await _finalize_entry(conn, result)
+
+
+ ### Finally add the record for the parent entry where necessary.
+
+ parent_lookup_ids = list(filter(lambda e: e['pid'] != e['lid'], lookup_ids))
+ if parent_lookup_ids:
+ ltab = sa.func.JsonArrayEach(sa.type_coerce(parent_lookup_ids, sa.JSON))\
+ .table_valued(sa.column('value', type_=sa.JSON))
+ sql = sa.select(ltab.c.value['pid'].as_integer().label('src_place_id'),
+ t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
+ t.c.class_, t.c.type, t.c.extratags,
+ t.c.admin_level,
+ t.c.rank_address)\
+ .where(t.c.place_id == ltab.c.value['lid'].as_integer())
+
+ for row in await conn.execute(sql):
+ current_result = next((r for r in results if r.place_id == row.src_place_id), None)
+ assert current_result is not None
+ assert current_result.address_rows is not None
+
+ current_result.address_rows.append(AddressLine(
+ place_id=row.place_id,
+ osm_object=(row.osm_type, row.osm_id),
+ category=(row.class_, row.type),
+ names=row.name, extratags=row.extratags or {},
+ admin_level=row.admin_level,
+ fromarea=True, isaddress=True,
+ rank_address=row.rank_address, distance=0.0))
+
+ ### Now sort everything
+ for result in results:
+ assert result.address_rows is not None
+ result.address_rows.sort(key=lambda a: (-a.rank_address, a.isaddress))
-# pylint: disable=consider-using-f-string
def _placex_select_address_row(conn: SearchConnection,
centroid: Point) -> SaSelect:
t = conn.t.placex
return sa.select(t.c.place_id, t.c.osm_type, t.c.osm_id, t.c.name,
t.c.class_.label('class'), t.c.type,
t.c.admin_level, t.c.housenumber,
- sa.literal_column("""ST_GeometryType(geometry) in
- ('ST_Polygon','ST_MultiPolygon')""").label('fromarea'),
+ t.c.geometry.is_area().label('fromarea'),
t.c.rank_address,
- sa.literal_column(
- """ST_DistanceSpheroid(geometry, 'SRID=4326;POINT(%f %f)'::geometry,
- 'SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]]')
- """ % centroid).label('distance'))
+ t.c.geometry.distance_spheroid(
+ sa.bindparam('centroid', value=centroid, type_=Geometry)).label('distance'))
async def complete_linked_places(conn: SearchConnection, result: BaseResult) -> None:
sel = sa.select(t.c.word_id, t.c.word_token, t.c.word)
for name_tokens, address_tokens in await conn.execute(sql):
- for row in await conn.execute(sel.where(t.c.word_id == sa.any_(name_tokens))):
+ for row in await conn.execute(sel.where(t.c.word_id.in_(name_tokens))):
result.name_keywords.append(WordInfo(*row))
- for row in await conn.execute(sel.where(t.c.word_id == sa.any_(address_tokens))):
+ for row in await conn.execute(sel.where(t.c.word_id.in_(address_tokens))):
result.address_keywords.append(WordInfo(*row))
projects / nominatim.git / blobdiff