"""
Complex datatypes used by the Nominatim API.
"""
-from typing import Optional, Union, NamedTuple
+from typing import Optional, Union, Tuple, NamedTuple, TypeVar, Type, Dict, \
+ Any, List, Sequence
+from collections import abc
import dataclasses
import enum
+import math
+from struct import unpack
+from binascii import unhexlify
+
+from nominatim.errors import UsageError
+from nominatim.api.localization import Locales
+
+# pylint: disable=no-member,too-many-boolean-expressions,too-many-instance-attributes
@dataclasses.dataclass
class PlaceID:
- """ Reference an object by Nominatim's internal ID.
+ """ Reference a place by Nominatim's internal ID.
+
+ A PlaceID may reference place from the main table placex, from
+ the interpolation tables or the postcode tables. Place IDs are not
+ stable between installations. You may use this type theefore only
+ with place IDs obtained from the same database.
"""
place_id: int
+ """
+ The internal ID of the place to reference.
+ """
@dataclasses.dataclass
class OsmID:
- """ Reference by the OSM ID and potentially the basic category.
+ """ Reference a place by its OSM ID and potentially the basic category.
+
+ The OSM ID may refer to places in the main table placex and OSM
+ interpolation lines.
"""
osm_type: str
+ """ OSM type of the object. Must be one of `N`(node), `W`(way) or
+ `R`(relation).
+ """
osm_id: int
+ """ The OSM ID of the object.
+ """
osm_class: Optional[str] = None
+ """ The same OSM object may appear multiple times in the database under
+ different categories. The optional class parameter allows to distinguish
+ the different categories and corresponds to the key part of the category.
+ If there are multiple objects in the database and `osm_class` is
+ left out, then one of the objects is returned at random.
+ """
def __post_init__(self) -> None:
if self.osm_type not in ('N', 'W', 'R'):
return self.x
+ def to_geojson(self) -> str:
+ """ Return the point in GeoJSON format.
+ """
+ return f'{{"type": "Point","coordinates": [{self.x}, {self.y}]}}'
+
+
+ @staticmethod
+ def from_wkb(wkb: Union[str, bytes]) -> 'Point':
+ """ Create a point from EWKB as returned from the database.
+ """
+ if isinstance(wkb, str):
+ wkb = unhexlify(wkb)
+ if len(wkb) != 25:
+ raise ValueError(f"Point wkb has unexpected length {len(wkb)}")
+ if wkb[0] == 0:
+ gtype, srid, x, y = unpack('>iidd', wkb[1:])
+ elif wkb[0] == 1:
+ gtype, srid, x, y = unpack('<iidd', wkb[1:])
+ else:
+ raise ValueError("WKB has unknown endian value.")
+
+ if gtype != 0x20000001:
+ raise ValueError("WKB must be a point geometry.")
+ if srid != 4326:
+ raise ValueError("Only WGS84 WKB supported.")
+
+ return Point(x, y)
+
+
+ @staticmethod
+ def from_param(inp: Any) -> 'Point':
+ """ Create a point from an input parameter. The parameter
+ may be given as a point, a string or a sequence of
+ strings or floats. Raises a UsageError if the format is
+ not correct.
+ """
+ if isinstance(inp, Point):
+ return inp
+
+ seq: Sequence[str]
+ if isinstance(inp, str):
+ seq = inp.split(',')
+ elif isinstance(inp, abc.Sequence):
+ seq = inp
+
+ if len(seq) != 2:
+ raise UsageError('Point parameter needs 2 coordinates.')
+ try:
+ x, y = filter(math.isfinite, map(float, seq))
+ except ValueError as exc:
+ raise UsageError('Point parameter needs to be numbers.') from exc
+
+ if x < -180.0 or x > 180.0 or y < -90.0 or y > 90.0:
+ raise UsageError('Point coordinates invalid.')
+
+ return Point(x, y)
+
+
+ def to_wkt(self) -> str:
+ """ Return the WKT representation of the point.
+ """
+ return f'POINT({self.x} {self.y})'
+
+
+
+AnyPoint = Union[Point, Tuple[float, float]]
+
+WKB_BBOX_HEADER_LE = b'\x01\x03\x00\x00\x20\xE6\x10\x00\x00\x01\x00\x00\x00\x05\x00\x00\x00'
+WKB_BBOX_HEADER_BE = b'\x00\x20\x00\x00\x03\x00\x00\x10\xe6\x00\x00\x00\x01\x00\x00\x00\x05'
+
+class Bbox:
+ """ A bounding box in WGS84 projection.
+
+ The coordinates are available as an array in the 'coord'
+ property in the order (minx, miny, maxx, maxy).
+ """
+ def __init__(self, minx: float, miny: float, maxx: float, maxy: float) -> None:
+ """ Create a new bounding box with the given coordinates in WGS84
+ projection.
+ """
+ self.coords = (minx, miny, maxx, maxy)
+
+
+ @property
+ def minlat(self) -> float:
+ """ Southern-most latitude, corresponding to the minimum y coordinate.
+ """
+ return self.coords[1]
+
+
+ @property
+ def maxlat(self) -> float:
+ """ Northern-most latitude, corresponding to the maximum y coordinate.
+ """
+ return self.coords[3]
+
+
+ @property
+ def minlon(self) -> float:
+ """ Western-most longitude, corresponding to the minimum x coordinate.
+ """
+ return self.coords[0]
+
+
+ @property
+ def maxlon(self) -> float:
+ """ Eastern-most longitude, corresponding to the maximum x coordinate.
+ """
+ return self.coords[2]
+
+
+ @property
+ def area(self) -> float:
+ """ Return the area of the box in WGS84.
+ """
+ return (self.coords[2] - self.coords[0]) * (self.coords[3] - self.coords[1])
+
+
+ def contains(self, pt: Point) -> bool:
+ """ Check if the point is inside or on the boundary of the box.
+ """
+ return self.coords[0] <= pt[0] and self.coords[1] <= pt[1]\
+ and self.coords[2] >= pt[0] and self.coords[3] >= pt[1]
+
+
+ def to_wkt(self) -> str:
+ """ Return the WKT representation of the Bbox. This
+ is a simple polygon with four points.
+ """
+ return 'POLYGON(({0} {1},{0} {3},{2} {3},{2} {1},{0} {1}))'\
+ .format(*self.coords) # pylint: disable=consider-using-f-string
+
+
+ @staticmethod
+ def from_wkb(wkb: Union[None, str, bytes]) -> 'Optional[Bbox]':
+ """ Create a Bbox from a bounding box polygon as returned by
+ the database. Returns `None` if the input value is None.
+ """
+ if wkb is None:
+ return None
+
+ if isinstance(wkb, str):
+ wkb = unhexlify(wkb)
+
+ if len(wkb) != 97:
+ raise ValueError("WKB must be a bounding box polygon")
+ if wkb.startswith(WKB_BBOX_HEADER_LE):
+ x1, y1, _, _, x2, y2 = unpack('<dddddd', wkb[17:65])
+ elif wkb.startswith(WKB_BBOX_HEADER_BE):
+ x1, y1, _, _, x2, y2 = unpack('>dddddd', wkb[17:65])
+ else:
+ raise ValueError("WKB has wrong header")
+
+ return Bbox(min(x1, x2), min(y1, y2), max(x1, x2), max(y1, y2))
+
+
+ @staticmethod
+ def from_point(pt: Point, buffer: float) -> 'Bbox':
+ """ Return a Bbox around the point with the buffer added to all sides.
+ """
+ return Bbox(pt[0] - buffer, pt[1] - buffer,
+ pt[0] + buffer, pt[1] + buffer)
+
+
+ @staticmethod
+ def from_param(inp: Any) -> 'Bbox':
+ """ Return a Bbox from an input parameter. The box may be
+ given as a Bbox, a string or a list or strings or integer.
+ Raises a UsageError if the format is incorrect.
+ """
+ if isinstance(inp, Bbox):
+ return inp
+
+ seq: Sequence[str]
+ if isinstance(inp, str):
+ seq = inp.split(',')
+ elif isinstance(inp, abc.Sequence):
+ seq = inp
+
+ if len(seq) != 4:
+ raise UsageError('Bounding box parameter needs 4 coordinates.')
+ try:
+ x1, y1, x2, y2 = filter(math.isfinite, map(float, seq))
+ except ValueError as exc:
+ raise UsageError('Bounding box parameter needs to be numbers.') from exc
+
+ x1 = min(180, max(-180, x1))
+ x2 = min(180, max(-180, x2))
+ y1 = min(90, max(-90, y1))
+ y2 = min(90, max(-90, y2))
+
+ if x1 == x2 or y1 == y2:
+ raise UsageError('Bounding box with invalid parameters.')
+
+ return Bbox(min(x1, x2), min(y1, y2), max(x1, x2), max(y1, y2))
+
+
class GeometryFormat(enum.Flag):
- """ Geometry output formats supported by Nominatim.
+ """ All search functions support returning the full geometry of a place in
+ various formats. The internal geometry is converted by PostGIS to
+ the desired format and then returned as a string. It is possible to
+ request multiple formats at the same time.
"""
NONE = 0
+ """ No geometry requested. Alias for a empty flag.
+ """
GEOJSON = enum.auto()
+ """
+ [GeoJSON](https://geojson.org/) format
+ """
KML = enum.auto()
+ """
+ [KML](https://en.wikipedia.org/wiki/Keyhole_Markup_Language) format
+ """
SVG = enum.auto()
+ """
+ [SVG](http://www.w3.org/TR/SVG/paths.html) format
+ """
TEXT = enum.auto()
+ """
+ [WKT](https://en.wikipedia.org/wiki/Well-known_text_representation_of_geometry) format
+ """
+
+
+class DataLayer(enum.Flag):
+ """ The `DataLayer` flag type defines the layers that can be selected
+ for reverse and forward search.
+ """
+ ADDRESS = enum.auto()
+ """ The address layer contains all places relavant for addresses:
+ fully qualified addresses with a house number (or a house name equivalent,
+ for some addresses) and places that can be part of an address like
+ roads, cities, states.
+ """
+ POI = enum.auto()
+ """ Layer for points of interest like shops, restaurants but also
+ recycling bins or postboxes.
+ """
+ RAILWAY = enum.auto()
+ """ Layer with railway features including tracks and other infrastructure.
+ Note that in Nominatim's standard configuration, only very few railway
+ features are imported into the database. Thus a custom configuration
+ is required to make full use of this layer.
+ """
+ NATURAL = enum.auto()
+ """ Layer with natural features like rivers, lakes and mountains.
+ """
+ MANMADE = enum.auto()
+ """ Layer with other human-made features and boundaries. This layer is
+ the catch-all and includes all features not covered by the other
+ layers. A typical example for this layer are national park boundaries.
+ """
+
+
+def format_country(cc: Any) -> List[str]:
+ """ Extract a list of country codes from the input which may be either
+ a string or list of strings. Filters out all values that are not
+ a two-letter string.
+ """
+ clist: Sequence[str]
+ if isinstance(cc, str):
+ clist = cc.split(',')
+ elif isinstance(cc, abc.Sequence):
+ clist = cc
+ else:
+ raise UsageError("Parameter 'country' needs to be a comma-separated list "
+ "or a Python list of strings.")
+
+ return [cc.lower() for cc in clist if isinstance(cc, str) and len(cc) == 2]
+def format_excluded(ids: Any) -> List[int]:
+ """ Extract a list of place ids from the input which may be either
+ a string or a list of strings or ints. Ignores empty value but
+ throws a UserError on anything that cannot be converted to int.
+ """
+ plist: Sequence[str]
+ if isinstance(ids, str):
+ plist = [s.strip() for s in ids.split(',')]
+ elif isinstance(ids, abc.Sequence):
+ plist = ids
+ else:
+ raise UsageError("Parameter 'excluded' needs to be a comma-separated list "
+ "or a Python list of numbers.")
+ if not all(isinstance(i, int) or
+ (isinstance(i, str) and (not i or i.isdigit())) for i in plist):
+ raise UsageError("Parameter 'excluded' only takes place IDs.")
+
+ return [int(id) for id in plist if id] or [0]
+
+
+def format_categories(categories: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
+ """ Extract a list of categories. Currently a noop.
+ """
+ return categories
+
+TParam = TypeVar('TParam', bound='LookupDetails') # pylint: disable=invalid-name
+
@dataclasses.dataclass
class LookupDetails:
- """ Collection of parameters that define the amount of details
- returned with a search result.
+ """ Collection of parameters that define which kind of details are
+ returned with a lookup or details result.
"""
geometry_output: GeometryFormat = GeometryFormat.NONE
""" Add the full geometry of the place to the result. Multiple
keywords: bool = False
""" Add information about the search terms used for this place.
"""
+ geometry_simplification: float = 0.0
+ """ Simplification factor for a geometry in degrees WGS. A factor of
+ 0.0 means the original geometry is kept. The higher the value, the
+ more the geometry gets simplified.
+ """
+ locales: Locales = Locales()
+ """ Prefered languages for localization of results.
+ """
+
+ @classmethod
+ def from_kwargs(cls: Type[TParam], kwargs: Dict[str, Any]) -> TParam:
+ """ Load the data fields of the class from a dictionary.
+ Unknown entries in the dictionary are ignored, missing ones
+ get the default setting.
+
+ The function supports type checking and throws a UsageError
+ when the value does not fit.
+ """
+ def _check_field(v: Any, field: 'dataclasses.Field[Any]') -> Any:
+ if v is None:
+ return field.default_factory() \
+ if field.default_factory != dataclasses.MISSING \
+ else field.default
+ if field.metadata and 'transform' in field.metadata:
+ return field.metadata['transform'](v)
+ if not isinstance(v, field.type):
+ raise UsageError(f"Parameter '{field.name}' needs to be of {field.type!s}.")
+ return v
+
+ return cls(**{f.name: _check_field(kwargs[f.name], f)
+ for f in dataclasses.fields(cls) if f.name in kwargs})
+
+
+@dataclasses.dataclass
+class ReverseDetails(LookupDetails):
+ """ Collection of parameters for the reverse call.
+ """
+ max_rank: int = dataclasses.field(default=30,
+ metadata={'transform': lambda v: max(0, min(v, 30))}
+ )
+ """ Highest address rank to return.
+ """
+ layers: DataLayer = DataLayer.ADDRESS | DataLayer.POI
+ """ Filter which kind of data to include.
+ """
+
+@dataclasses.dataclass
+class SearchDetails(LookupDetails):
+ """ Collection of parameters for the search call.
+ """
+ max_results: int = 10
+ """ Maximum number of results to be returned. The actual number of results
+ may be less.
+ """
+ min_rank: int = dataclasses.field(default=0,
+ metadata={'transform': lambda v: max(0, min(v, 30))}
+ )
+ """ Lowest address rank to return.
+ """
+ max_rank: int = dataclasses.field(default=30,
+ metadata={'transform': lambda v: max(0, min(v, 30))}
+ )
+ """ Highest address rank to return.
+ """
+ layers: Optional[DataLayer] = dataclasses.field(default=None,
+ metadata={'transform': lambda r : r})
+ """ Filter which kind of data to include. When 'None' (the default) then
+ filtering by layers is disabled.
+ """
+ countries: List[str] = dataclasses.field(default_factory=list,
+ metadata={'transform': format_country})
+ """ Restrict search results to the given countries. An empty list (the
+ default) will disable this filter.
+ """
+ excluded: List[int] = dataclasses.field(default_factory=list,
+ metadata={'transform': format_excluded})
+ """ List of OSM objects to exclude from the results. Currently only
+ works when the internal place ID is given.
+ An empty list (the default) will disable this filter.
+ """
+ viewbox: Optional[Bbox] = dataclasses.field(default=None,
+ metadata={'transform': Bbox.from_param})
+ """ Focus the search on a given map area.
+ """
+ bounded_viewbox: bool = False
+ """ Use 'viewbox' as a filter and restrict results to places within the
+ given area.
+ """
+ near: Optional[Point] = dataclasses.field(default=None,
+ metadata={'transform': Point.from_param})
+ """ Order results by distance to the given point.
+ """
+ near_radius: Optional[float] = dataclasses.field(default=None,
+ metadata={'transform': lambda r : r})
+ """ Use near point as a filter and drop results outside the given
+ radius. Radius is given in degrees WSG84.
+ """
+ categories: List[Tuple[str, str]] = dataclasses.field(default_factory=list,
+ metadata={'transform': format_categories})
+ """ Restrict search to places with one of the given class/type categories.
+ An empty list (the default) will disable this filter.
+ """
+ viewbox_x2: Optional[Bbox] = None
+
+ def __post_init__(self) -> None:
+ if self.viewbox is not None:
+ xext = (self.viewbox.maxlon - self.viewbox.minlon)/2
+ yext = (self.viewbox.maxlat - self.viewbox.minlat)/2
+ self.viewbox_x2 = Bbox(self.viewbox.minlon - xext, self.viewbox.minlat - yext,
+ self.viewbox.maxlon + xext, self.viewbox.maxlat + yext)
+
+
+ def restrict_min_max_rank(self, new_min: int, new_max: int) -> None:
+ """ Change the min_rank and max_rank fields to respect the
+ given boundaries.
+ """
+ assert new_min <= new_max
+ self.min_rank = max(self.min_rank, new_min)
+ self.max_rank = min(self.max_rank, new_max)
+
+
+ def is_impossible(self) -> bool:
+ """ Check if the parameter configuration is contradictionary and
+ cannot yield any results.
+ """
+ return (self.min_rank > self.max_rank
+ or (self.bounded_viewbox
+ and self.viewbox is not None and self.near is not None
+ and self.viewbox.contains(self.near))
+ or (self.layers is not None and not self.layers)
+ or (self.max_rank <= 4 and
+ self.layers is not None and not self.layers & DataLayer.ADDRESS))
+
+
+ def layer_enabled(self, layer: DataLayer) -> bool:
+ """ Check if the given layer has been choosen. Also returns
+ true when layer restriction has been disabled completely.
+ """
+ return self.layers is None or bool(self.layers & layer)
projects / nominatim.git / blobdiff