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Core: Make Perfect Fuzzy Match Prioritize Casing (#4956)

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This commit is contained in:
Exempt-Medic
2025-05-05 19:18:20 -04:00
committed by GitHub
parent b2d2c8e596
commit b217372fea
1 changed files with 5 additions and 1 deletions
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6
Utils.py
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@@ -635,6 +635,8 @@ def get_fuzzy_results(input_word: str, word_list: typing.Collection[str], limit:
import jellyfish
def get_fuzzy_ratio(word1: str, word2: str) -> float:
if word1 == word2:
return 1.01
return (1 - jellyfish.damerau_levenshtein_distance(word1.lower(), word2.lower())
/ max(len(word1), len(word2)))
@@ -655,8 +657,10 @@ def get_intended_text(input_text: str, possible_answers) -> typing.Tuple[str, bo
picks = get_fuzzy_results(input_text, possible_answers, limit=2)
if len(picks) > 1:
dif = picks[0][1] - picks[1][1]
if picks[0][1] == 100:
if picks[0][1] == 101:
return picks[0][0], True, "Perfect Match"
elif picks[0][1] == 100:
return picks[0][0], True, "Case Insensitive Perfect Match"
elif picks[0][1] < 75:
return picks[0][0], False, f"Didn't find something that closely matches '{input_text}', " \
f"did you mean '{picks[0][0]}'? ({picks[0][1]}% sure)"