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
class DataLayer(enum.Flag):
- """ Layer types that can be selected for reverse and forward search.
+ """ The `DataLayer` flag type defines the layers that can be selected
+ for reverse and forward search.
"""
- POI = enum.auto()
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()
- MANMADE = 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]:
@dataclasses.dataclass
class LookupDetails:
- """ Collection of parameters that define the amount of details
+ """ Collection of parameters that define which kind of details are
returned with a lookup or details result.
"""
geometry_output: GeometryFormat = GeometryFormat.NONE
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: