from ..results import SearchResult, SearchResults, SourceTable
from ..types import SearchDetails, GeometryFormat
+
REVERSE_MAX_RANKS = [2, 2, 2, # 0-2 Continent/Sea
4, 4, # 3-4 Country
8, # 5 State
26, # 16 Major Streets
27, # 17 Minor Streets
30 # 18 Building
- ]
+ ]
def zoom_to_rank(zoom: int) -> int:
return FEATURE_TYPE_TO_RANK.get(feature_type, (0, 30))
-#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,
and result.names.get('ref') == postcode
-def _deg(axis:str) -> str:
+def _deg(axis: str) -> str:
return f"(?P<{axis}_deg>\\d+\\.\\d+)°?"
+
def _deg_min(axis: str) -> str:
return f"(?P<{axis}_deg>\\d+)[°\\s]+(?P<{axis}_min>[\\d.]+)[′']*"
+
def _deg_min_sec(axis: str) -> str:
return f"(?P<{axis}_deg>\\d+)[°\\s]+(?P<{axis}_min>\\d+)[′'\\s]+(?P<{axis}_sec>[\\d.]+)[\"″]*"
+
COORD_REGEX = [re.compile(r'(?:(?P<pre>.*?)\s+)??' + r + r'(?:\s+(?P<post>.*))?') for r in (
r"(?P<ns>[NS])\s*" + _deg('lat') + r"[\s,]+" + r"(?P<ew>[EW])\s*" + _deg('lon'),
_deg('lat') + r"\s*(?P<ns>[NS])[\s,]+" + _deg('lon') + r"\s*(?P<ew>[EW])",
r"\[?(?P<lat_deg>[+-]?\d+\.\d+)[\s,]+(?P<lon_deg>[+-]?\d+\.\d+)\]?"
)]
+
def extract_coords_from_query(query: str) -> Tuple[str, Optional[float], Optional[float]]:
""" Look for something that is formatted like a coordinate at the
beginning or end of the query. If found, extract the coordinate and
CATEGORY_REGEX = re.compile(r'(?P<pre>.*?)\[(?P<cls>[a-zA-Z_]+)=(?P<typ>[a-zA-Z_]+)\](?P<post>.*)')
+
def extract_category_from_query(query: str) -> Tuple[str, Optional[str], Optional[str]]:
""" Extract a hidden category specification of the form '[key=value]' from
the query. If found, extract key and value and