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91 lines
2.2 KiB
91 lines
2.2 KiB
import csv |
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import sys |
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import dataclasses |
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import thefuzz.fuzz, thefuzz.process |
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import typing |
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import itertools |
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@dataclasses.dataclass |
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class Park: |
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reference: str |
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name: str |
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location: typing.List[str] |
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latitude: float |
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longitude: float |
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grid: str |
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attempts: int |
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activations: int |
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qsos: int |
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@dataclasses.dataclass |
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class ParkDatabase: |
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parks: typing.List[Park] |
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def __post_init__(self): |
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self.parks_dict = {park.reference: park for park in self.parks} |
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def search_name(self, string): |
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return [ |
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self.parks_dict[i[0].split("|")[0]] |
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for i in thefuzz.process.extract( |
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string, |
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[park.reference + "|" + park.name for park in self.parks], |
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scorer=thefuzz.fuzz.partial_ratio, |
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) |
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] |
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def filter_location(self, location): |
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location = location.upper() |
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return ParkDatabase( |
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[ |
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park |
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for park in self.parks |
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if (location in park.location) |
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or ( |
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location |
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in [ |
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park_location.split("-")[0] |
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for park_location in park.location |
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] |
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) |
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] |
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) |
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def get_locations(self): |
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return _uniq(itertools.chain(*[park.location for park in self.parks])) |
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def get_expanded_locations(self): |
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return _uniq(_expand_locations(self.get_locations())) |
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def _uniq(data): |
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return sorted(set(data)) |
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def _expand_location(code): |
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return code, code.split("-")[0] |
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def _expand_locations(codes): |
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return itertools.chain(*[_expand_location(code) for code in codes]) |
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def load_csv(f): |
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return ParkDatabase( |
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[ |
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Park( |
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park["reference"], |
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park["name"], |
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park["locationDesc"].split(","), |
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float(park["latitude"]), |
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float(park["longitude"]), |
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park["grid"], |
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int(park["attempts"]), |
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int(park["activations"]), |
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int(park["qsos"]), |
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) |
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for park in csv.DictReader(f) |
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] |
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)
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