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