numerals, details)
), else_=None)
else:
- interpol_sql = sa.literal(None)
- tiger_sql = sa.literal(None)
+ interpol_sql = sa.literal_column('NULL')
+ tiger_sql = sa.literal_column('NULL')
unsort = sa.select(inner, place_sql.scalar_subquery().label('placex_hnr'),
interpol_sql.label('interpol_hnr'),
)
""" 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.
"""
return FEATURE_TYPE_TO_RANK.get(feature_type, (0, 30))
-#pylint: disable=too-many-arguments
+#pylint: disable=too-many-arguments,too-many-branches
def extend_query_parts(queryparts: Dict[str, Any], details: Dict[str, Any],
feature_type: Optional[str],
namedetails: bool, extratags: bool,
"""
parsed = SearchDetails.from_kwargs(details)
if parsed.geometry_output != GeometryFormat.NONE:
- for flag in parsed.geometry_output:
- assert flag.name
- queryparts[f'polygon_{flag.name.lower()}'] = '1'
+ if parsed.geometry_output & GeometryFormat.GEOJSON:
+ queryparts['polygon_geojson'] = '1'
+ if parsed.geometry_output & GeometryFormat.KML:
+ queryparts['polygon_kml'] = '1'
+ if parsed.geometry_output & GeometryFormat.SVG:
+ queryparts['polygon_svg'] = '1'
+ if parsed.geometry_output & GeometryFormat.TEXT:
+ queryparts['polygon_text'] = '1'
if parsed.address_details:
queryparts['addressdetails'] = '1'
if namedetails: