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[change] node/server/spirits/Neuer Ordner mit Objekten/generate_json.py
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2025-05-28 04:07:42 +02:00
parent 7fa4aa9cd1
commit bd3c4e3401

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@@ -1,72 +1,61 @@
import json
import os
import re
from difflib import get_close_matches
# --- Paste hier die Model-Dateinamen rein (oder lies sie aus dem Ordner) ---
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"
"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") # YamatanoOrOchi vs Yamata_No_Orichi etc.
s = s.replace("ou", "o") # für "YamatanoOrOchi" vs "Yamata_No_Orichi"
return s
def generate_candidates(spirit_name):
# z.B. "Tsukuyomi (月読命)" => ["Tsukuyomi", "TsukuyomiNoMikoto", ...]
# Extrahiere lateinische Namen und alle Wörter, splitte auf Sonderzeichen
base = spirit_name.split()[0]
latin = re.split(r"\s|\(|", spirit_name)[0]
# Alternativen, z.B. alles ohne Klammern, nur erstes Wort etc.
candidates = [latin]
candidates += [latin.replace("-", "_"), latin.replace("-", ""), latin.replace("_", ""), latin.title(), latin.upper()]
# Häufig bei Kami: _No_Mikoto-Suffix
if not latin.endswith("NoMikoto"):
candidates.append(latin + "NoMikoto")
candidates.append(latin + "_No_Mikoto")
# Auch mal alles Klein, Snake, Camel
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] # .glb weg
model_names = [f[:-4] for f in MODEL_FILES]
normalized_models = [normalize(n) for n in model_names]
# Alle Matches (ab Distanz <= 2 oder exaktes Substring-Match)
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])
# Unique!
results = sorted(list(set(results)))
if not results:
# Fuzzy best 3
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
# Levenshtein-Distanz
def levenshtein(a, b):
if a == b: return 0
if not a: return len(b)
@@ -81,25 +70,30 @@ def levenshtein(a, b):
v0, v1 = v1, v0
return v0[len(b)]
# ---- Hauptlogik ----
def main():
with open("wesen.json", encoding="utf-8") as f:
with open("spirit_list.json", encoding="utf-8") as f:
spirits = json.load(f)
output = []
for spirit in spirits:
if "Model URL" in spirit and spirit["Model URL"]:
continue # already done
name = spirit.get("Name", "")
matches = find_best_model(name)
if len(matches) == 1:
spirit["Model URL"] = "/assets/models/spirits/" + matches[0]
elif len(matches) > 1:
print(f"\n[?] Mehrere mögliche Modelle für '{name}': {matches}")
spirit["Model URL"] = "/assets/models/spirits/" + matches[0] # Default das erste, Handcheck empfohlen!
else:
if not matches:
print(f"[!] Kein Modell gefunden für '{name}'!")
spirit["Model URL"] = ""
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(spirits, f, ensure_ascii=False, indent=2)
json.dump(output, f, ensure_ascii=False, indent=2)
print("\nFERTIG. Ergebnis: spirit_list_out.json")
if __name__ == "__main__":