import enum
import math
from struct import unpack
+from binascii import unhexlify
-from geoalchemy2 import WKTElement
-import geoalchemy2.functions
+import sqlalchemy as sa
from nominatim.errors import UsageError
@staticmethod
- def from_wkb(wkb: bytes) -> 'Point':
+ 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("Point wkb has unexpected length")
if wkb[0] == 0:
return Point(x, y)
- def sql_value(self) -> WKTElement:
+ def sql_value(self) -> str:
""" Create an SQL expression for the point.
"""
- return WKTElement(f'POINT({self.x} {self.y})', srid=4326)
+ return f'POINT({self.x} {self.y})'
def sql_value(self) -> Any:
""" Create an SQL expression for the box.
"""
- return geoalchemy2.functions.ST_MakeEnvelope(*self.coords, 4326)
+ return sa.func.ST_MakeEnvelope(*self.coords, 4326)
def contains(self, pt: Point) -> bool:
@staticmethod
- def from_wkb(wkb: Optional[bytes]) -> 'Optional[Bbox]':
+ def from_wkb(wkb: Union[None, str, bytes]) -> 'Optional[Bbox]':
""" Create a Bbox from a bounding box polygon as returned by
the database. Return s 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):
"""
plist: Sequence[str]
if isinstance(ids, str):
- plist = ids.split(',')
+ 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 any(not isinstance(i, int) or (isinstance(i, str) and not i.isdigit()) for i in plist):
+ 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]
+ return [int(id) for id in plist if id] or [0]
def format_categories(categories: List[Tuple[str, str]]) -> List[Tuple[str, str]]:
)
""" Highest address rank to return.
"""
- layers: Optional[DataLayer] = None
+ 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.
"""
metadata={'transform': Point.from_param})
""" Order results by distance to the given point.
"""
- near_radius: Optional[float] = None
+ 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.
"""