1e51ef7def
- Konzept/, didaktik_geografie/, didaktik_simulation/, v2-modules/, v2-platform/ - 12 code-workspace-Files - STATUS-*.md - viele M/D/R-Änderungen an bereits getrackten Files - .gitignore verstärkt: **/.humaninput/, **/secret_keys.txt Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
97 lines
5.4 KiB
Python
97 lines
5.4 KiB
Python
#!/usr/bin/env python3
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"""Generiert Dish-Bilder (Top-down-Teller, flat scandinavian) für die
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Weltküche-Sim. Aufruf: python generate-dish-images.py [<dish_id> ...]
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Ohne Argumente: alle Gerichte aus DISHES generieren.
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Output: App/sims/weltkueche/assets/img/dishes/<id>.webp (512x512)
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Original-PNG geht in _original/-Unterordner."""
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import json, os, subprocess, sys, tempfile, base64
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from pathlib import Path
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# Key aus .env.local lesen
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KEY = None
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env_path = 'C:/xampp/htdocs/geograsim/App/.env.local'
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with open(env_path, 'r', encoding='utf-8') as f:
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for line in f:
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if line.startswith('OPENAI_API_KEY='):
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KEY = line.split('=', 1)[1].strip().strip('"').strip("'")
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break
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if not KEY:
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sys.exit('OPENAI_API_KEY nicht in .env.local')
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OUT_DIR = Path('C:/xampp/htdocs/geograsim/App/sims/weltkueche/assets/img/dishes')
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ORIG_DIR = OUT_DIR / '_original'
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OUT_DIR.mkdir(parents=True, exist_ok=True)
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ORIG_DIR.mkdir(parents=True, exist_ok=True)
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PROMPT_BASE = ("CRITICAL STYLE: flat vector illustration, children's-book / Scandinavian poster art, "
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"NO photography, NO 3D rendering, NO realistic shading, NO photographic textures, NO gradients. "
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"Style is wide-shape silhouettes with flat solid color fills, clean cut edges, simple geometric forms. "
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"Strict palette: dark forest green #1f4b37, sage green #4a7c4e, yellow-mustard #e8c547, beige #e8e4d8, white highlights, optional small red-orange accent #c97b5a. "
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"COMPOSITION: a single round plate or bowl centered, viewed top-down, filling about 80% of the square frame. "
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"Background is a flat beige #e8e4d8 surface with optional very subtle wood-grain hint (one or two thin sage lines). "
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"FORBIDDEN: text, letters, numbers, watermarks, logos, borders, frames, photo-realistic lighting, lens-flare, "
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"people faces, hands, brand names.")
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# Pro Gericht ein kurzer Szenen-Suffix mit den charakteristischen visuellen Elementen
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DISHES = {
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# === Österreich regional (5) ===
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'tiroler-groestl': "On the plate: roughly-cubed beige potato pieces with sage-green herb flakes, a flat-shape forest-green fried egg with a circular yellow-mustard yolk in the middle, small red-orange speck/bacon bits scattered around. Bowl rim in dark forest-green.",
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'kaerntner-kasnudeln': "On the plate: 4-5 half-moon-shaped beige pasta pockets (Nudeln) arranged in a circle, each with a small sage-green mint leaf accent on top, drizzled with yellow-mustard browned butter (a few flat curved drop-shapes). Bowl rim in dark forest-green.",
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'steirisches-wurzelfleisch': "On the plate: chunks of beige boiled beef with orange-toned carrot rounds and sage-green parsley root pieces in a clear broth (lightly tinted beige), topped with a small mound of bright white grated horseradish (Kren) and chopped chives in dark green. Bowl in dark forest-green.",
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'vorarlberger-kaesespaetzle': "On the plate: a heap of golden yellow-mustard small irregular dumplings (Spätzle) topped with melted cheese strands, crowned by a ring of crispy beige-brown fried onions, sage-green chive accents. Bowl rim in dark forest-green.",
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'wachauer-marillenknoedel': "On the plate: 3 round beige dumplings dusted with white powdered sugar and rolled in golden yellow-mustard breadcrumbs, one cut in half showing a bright orange-yellow apricot heart inside. A small sage-green mint leaf as garnish. Bowl rim in dark forest-green.",
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}
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def generate(dish_id, scene):
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out_png = ORIG_DIR / f'{dish_id}.png'
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out_webp = OUT_DIR / f'{dish_id}.webp'
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if out_webp.exists():
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print(f' SKIP (existiert): {out_webp.name}')
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return True
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prompt = PROMPT_BASE + " SCENE: " + scene
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body = json.dumps({'model': 'gpt-image-2', 'prompt': prompt, 'n': 1, 'size': '1024x1024'}, ensure_ascii=False)
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with tempfile.NamedTemporaryFile(mode='w', encoding='utf-8', suffix='.json', delete=False) as f:
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f.write(body); bpath = f.name
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r = subprocess.run(['curl', '-sS',
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'-X', 'POST', 'https://api.openai.com/v1/images/generations',
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'-H', 'Authorization: Bearer ' + KEY,
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'-H', 'Content-Type: application/json',
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'--data-binary', '@' + bpath], capture_output=True, text=True, timeout=300)
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os.unlink(bpath)
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try:
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data = json.loads(r.stdout)
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item = data['data'][0]
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if 'b64_json' in item:
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with open(out_png, 'wb') as f:
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f.write(base64.b64decode(item['b64_json']))
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elif 'url' in item:
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subprocess.run(['curl', '-sS', '-o', str(out_png), item['url']],
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capture_output=True, text=True, timeout=60)
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else:
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return False
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except Exception as e:
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print(f' FAIL: {r.stdout[:200] if r.stdout else e}')
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return False
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if not out_png.exists() or out_png.stat().st_size < 10000:
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return False
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# PNG → WebP 512x512 (Display) — Pillow
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try:
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from PIL import Image
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img = Image.open(out_png)
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img = img.resize((512, 512), Image.LANCZOS)
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img.save(out_webp, 'webp', quality=85, method=6)
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except Exception as e:
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print(f' WebP-Fail: {e}')
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return False
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return True
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ids = sys.argv[1:] if len(sys.argv) > 1 else list(DISHES.keys())
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for d in ids:
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if d not in DISHES:
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print(f'-> {d}: UNBEKANNT')
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continue
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print(f'-> {d} ...', flush=True)
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ok = generate(d, DISHES[d])
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print(f' {"OK" if ok else "FAIL"}: {d}.webp')
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