0961bbccbf
[add] scripts/.DS_Store [add] scripts/README.md [add] scripts/extract_texture_filename_from_3ds.py [add] scripts/generate_3d_glb.py [add] scripts/generate_json.py [add] scripts/image_from_json.py [add] scripts/naming.py [add] scripts/openai_image_gen.py [add] scripts/remesh_bake_batch.py [add] server/public/assets/images/.DS_Store [add] server/public/assets/models/spirits/.DS_Store [change] server/public/assets/.DS_Store [change] server/public/assets/models/.DS_Store
66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
import os
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import json
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import re
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from difflib import get_close_matches
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# ---- Konfiguration ----
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image_dir = "webp"
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json_path = "spirit_list.json"
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output_path = "spirit_list_with_images.json"
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image_url_prefix = "/assets/images/spirits/" # Deine URL
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# --- Hilfsfunktion: Normalisiere Namen (um sie vergleichbar zu machen) ---
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def norm(s):
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s = s.lower()
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s = re.sub(r'[^a-z0-9]+', '', s) # Alles außer Buchstaben/Zahlen raus
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return s
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# ---- Bilddateien einlesen & normalisieren ----
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image_files = [f for f in os.listdir(image_dir) if f.lower().endswith('.webp')]
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norm2file = {norm(os.path.splitext(f)[0]): f for f in image_files}
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# ---- JSON einlesen ----
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with open(json_path, "r", encoding="utf-8") as f:
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spirits = json.load(f)
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matched = 0
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notfound = []
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for entry in spirits:
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# Nimm zuerst Model URL, ansonsten Name
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base = None
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if "Model URL" in entry and entry["Model URL"]:
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base = os.path.splitext(os.path.basename(entry["Model URL"]))[0]
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if not base and "Name" in entry:
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base = entry["Name"]
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if not base:
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notfound.append(entry)
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continue
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base_norm = norm(base)
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# Direktes Mapping versuchen
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if base_norm in norm2file:
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entry["Image URL"] = image_url_prefix + norm2file[base_norm]
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matched += 1
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continue
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# Fuzzy-Match, falls nicht gefunden
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candidates = get_close_matches(base_norm, norm2file.keys(), n=1, cutoff=0.7)
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if candidates:
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file_name = norm2file[candidates[0]]
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entry["Image URL"] = image_url_prefix + file_name
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print(f"Fuzzy: {base} → {file_name}")
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matched += 1
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else:
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print(f"Kein Bild gefunden für: {base}")
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notfound.append(entry)
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# --- Neue JSON schreiben ---
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with open(output_path, "w", encoding="utf-8") as f:
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json.dump(spirits, f, indent=2, ensure_ascii=False)
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print(f"{matched} von {len(spirits)} Einträgen mit Bild gematcht.")
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print(f"Nicht gefunden: {len(notfound)}")
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if notfound:
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for entry in notfound:
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print(" -", entry.get("Name", "???")) |