100 lines
4.7 KiB
Python
100 lines
4.7 KiB
Python
import json
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import re
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from difflib import get_close_matches
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MODEL_FILES = [
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"Ebisu.glb","Enenra.glb","Enenra2.glb","Oboroguruma.glb","Oiwa.glb","Okiku.glb","Okomeki.001.glb",
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"Okuninushi.glb","Oni.glb","Onryo.glb","Oyamatsumi.001.glb","Raijin.glb","Rokurokubi.glb","Ryujin.glb",
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"Sarutahiko_Okami.glb","Shinigami.001.glb","Shuten_Doji.glb","Sojobo.glb","Sojobo2.glb","Susanoo.glb",
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"Takeminakata.glb","Takeminakata2.001.glb","Tanuki.glb","Tengu.glb","Tenjin.glb","Tsukumogami.glb",
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"Tsukuyomi_No_Mikoto.glb","Tsurube_Otoshi.glb","Tsurube_Otoshi2.glb","Tsurube_Otoshi3.glb","Tsurube_Otoshi4.glb",
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"Ubume.glb","Yama_Uba.glb","Yama_Uba2.glb","Yamata_No_Orichi.glb","Yamawaro.glb","Yatagarasu2.glb",
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"Yuki_Onna.glb","Yurei.glb","Abe_No_Seimei.glb","Abura_Akago.glb","Abura_Sumashi.glb","Abura_Sumashi2.glb",
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"Aka_Manto.glb","Akaname.glb","Akateko2.glb","Akkorokamui.glb","Akuchu.glb","Amabie2.glb","Amanojaku.glb",
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"Amaterasu.glb","Ame_No_Uzume.001.glb","Amenominakanushi.glb","Aoandon.001.glb","Aoandon2.001.glb",
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"Ashiari_Yashiki.glb","Ashinaga_Tenaga2.glb","Azukiarai.glb","Azukibabaa.glb","Azukihakari.glb",
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"Bake_Kujira.glb","Bake_Kujira2.glb","Bake_Kujira3.glb","Bakezori.glb","Baku.glb","Basan.glb",
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"Benzaiten.glb","Betobeto_San.glb","Bishamonten.glb","Biwa_Bokuboku.glb","Chochin_Obake.glb","Daidarabotchi.glb",
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"Daikokuten+Text.glb","Daikokuten.glb","Fujin.glb","Funayurei.glb","Furaribi.glb","Futakuchi_Onna.glb",
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"Gaki.glb","Gashadokuro.glb","Hachiman.glb","Hiderigami.001.glb","Hitotsume_Kozo.glb","Hoko.glb",
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"Inari_Okami.glb","Ittan_Momen2.glb","Izanagi_No_Mikoto.glb","Izanami_No_Mikoto.glb","Jikininki.glb",
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"Jorogumo3.glb","Kamaitachi.glb","Kamikiri.glb","Kappa.glb","Karakasa_Obake.glb","Karakasa_Obake2.glb",
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"Kitsune.glb","Kodama.glb","Kudan.glb","Mizushi.glb","Mokumokuren.glb","Mujina.glb","Nekomata.glb",
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"Noppera_Bo.glb","Nue.glb","Nuppeppo2.glb","Nurarihyon.glb","Nure_Onna.glb","Nurikabe.glb","Nurikabe2.glb"
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]
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def normalize(s):
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s = s.lower()
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s = re.sub(r"[^a-z0-9]", "", s)
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s = s.replace("ou", "o") # für "YamatanoOrOchi" vs "Yamata_No_Orichi"
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return s
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def generate_candidates(spirit_name):
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base = spirit_name.split()[0]
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latin = re.split(r"\s|\(|（", spirit_name)[0]
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candidates = [latin]
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candidates += [latin.replace("-", "_"), latin.replace("-", ""), latin.replace("_", ""), latin.title(), latin.upper()]
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if not latin.endswith("NoMikoto"):
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candidates.append(latin + "NoMikoto")
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candidates.append(latin + "_No_Mikoto")
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return list(set([normalize(c) for c in candidates]))
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def find_best_model(spirit_name):
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candidates = generate_candidates(spirit_name)
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model_names = [f[:-4] for f in MODEL_FILES]
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normalized_models = [normalize(n) for n in model_names]
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results = []
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for c in candidates:
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for i, n in enumerate(normalized_models):
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dist = levenshtein(c, n)
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if dist <= 2 or c in n or n in c:
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results.append(MODEL_FILES[i])
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results = sorted(list(set(results)))
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if not results:
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matches = get_close_matches(candidates[0], normalized_models, n=3, cutoff=0.6)
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models = [MODEL_FILES[normalized_models.index(m)] for m in matches]
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return models
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return results
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def levenshtein(a, b):
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if a == b: return 0
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if not a: return len(b)
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if not b: return len(a)
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v0 = list(range(len(b) + 1))
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v1 = [0] * (len(b) + 1)
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for i in range(len(a)):
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v1[0] = i + 1
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for j in range(len(b)):
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cost = 0 if a[i] == b[j] else 1
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v1[j + 1] = min(v1[j] + 1, v0[j + 1] + 1, v0[j] + cost)
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v0, v1 = v1, v0
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return v0[len(b)]
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def main():
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with open("spirit_list.json", encoding="utf-8") as f:
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spirits = json.load(f)
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output = []
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for spirit in spirits:
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name = spirit.get("Name", "")
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matches = find_best_model(name)
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if not matches:
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print(f"[!] Kein Modell gefunden für '{name}'!")
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new_spirit = spirit.copy()
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new_spirit["Model URL"] = ""
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output.append(new_spirit)
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elif len(matches) == 1:
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new_spirit = spirit.copy()
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new_spirit["Model URL"] = "/assets/models/spirits/" + matches[0]
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output.append(new_spirit)
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else:
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print(f"\n[?] Mehrere mögliche Modelle für '{name}': {matches}")
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for m in matches:
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new_spirit = spirit.copy()
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new_spirit["Model URL"] = "/assets/models/spirits/" + m
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output.append(new_spirit)
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with open("spirit_list_out.json", "w", encoding="utf-8") as f:
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json.dump(output, f, ensure_ascii=False, indent=2)
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print("\nFERTIG. Ergebnis: spirit_list_out.json")
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if __name__ == "__main__":
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main() |