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- 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>
93 lines
7.1 KiB
Python
93 lines
7.1 KiB
Python
#!/usr/bin/env python3
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"""Tranche B — 10 DACH-Gerichte. Methodik V1 (Plattform-Palette), aber bei
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Eiern und kritischen Naturfarben explizite Farbangaben (Lehre aus V1-Gröstl-grün-Ei).
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"""
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import json, os, subprocess, sys, tempfile, base64
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from pathlib import Path
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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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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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# V1-Prompt (Plattform-Palette) — aber mit expliziten Naturfarben-Hinweisen
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# für kritische Lebensmittel-Komponenten wo nötig
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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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"WHEN the dish contains an EGG with visible yolk, the yolk MUST be bright yellow #f5c63a — never green or sage. "
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"Plate is round, dark forest-green rim, viewed top-down, filling about 75% of the square frame. "
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"Background is flat beige #e8e4d8. "
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"FORBIDDEN: text, letters, numbers, watermarks, logos, borders, frames, photo-realistic lighting, lens-flare, "
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"people faces with detail, brand names, NO green egg yolks.")
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DISHES = {
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'wiener-schnitzel': "On the plate: a large oval beige-mustard #e8c547 breaded cutlet (Wiener Schnitzel), the breading shown as a slightly textured flat shape with rippling edges. Next to it: a yellow lemon wedge as a flat triangular shape with yellow-mustard #e8c547 fill, a small sprig of sage-green parsley.",
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'sachertorte': "On the plate: a single round slice of a dark chocolate cake (Sachertorte), viewed top-down or slightly tilted — the slice shape is a wedge with dark forest-green chocolate glaze on top and outside, beige sponge inside, one thin orange-mustard #e8c547 stripe of apricot jam in the middle as a horizontal line. Beside: a small white-beige dollop of whipped cream.",
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'apfelstrudel': "On the plate: a thick diagonal slice of apple strudel, beige rolled pastry shape with thin spiral lines indicating the rolled dough, golden-mustard #e8c547 apple filling visible at the cut end. Light beige powdered sugar dust on top. A small sprig of sage-green mint as garnish.",
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'topfengolatschen': "On the plate: 2 square pastry pockets (Topfengolatschen) — beige #e8e4d8 golden pastry with 4 corners folded into the center showing white creamy filling in the middle. Light dust of powdered sugar on top (as small white dots).",
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'bayerische-brezel': "On the plate: a large brown-mahogany Bavarian pretzel (Brezel) as a flat 3-loop knot shape filling most of the plate, dark brown-beige #a87253 color with a sprinkle of large white salt crystals on top. Next to it: a small beige bowl with white-cream Obatzda cheese spread, topped with sage-green chive flecks and red-orange paprika sprinkle.",
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'schwaebische-maultaschen': "In the bowl: 3-4 large square dumplings (Maultaschen) — beige pasta squares filled visible — placed in a clear golden #e8c547 broth. The dumpling tops show a sage-green spinach hint through the dough. A few golden roasted onion strips beige-brown on top.",
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'rheinischer-sauerbraten': "On the plate: a stack of 3-4 thin slices of dark brown #a87253 braised beef (Sauerbraten), glazed with shiny dark sauce. Around: a small dollop of beige potato dumpling (Klöße), a few dark purple-red braised red cabbage strips (use forest-green and yellow-mustard mix for cabbage tone), 3 dark raisins as small dots in the sauce.",
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'schwarzwaelder-kirschtorte': "On the plate: a single wedge slice of a layered cake (Schwarzwälder Kirschtorte). Three layers visible from the side: dark forest-green chocolate sponge alternating with white whipped cream, red cherries (use red-orange #c97b5a) scattered in the middle layer. On top: a thick swirl of white cream with a single red cherry crown. Dark chocolate shavings as forest-green small slivers around.",
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'schweizer-kaesefondue': "Top-down view of a round shallow caquelon (fondue pot) in dark forest-green ceramic. Inside: smooth creamy golden-beige #e8c547 melted cheese filling the whole bowl, with two fondue forks sticking out at angles — fork handles dark forest-green. Beside the pot on the table: a small pile of beige bread cubes (4-5 cubes shown as flat square shapes).",
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'zuercher-geschnetzeltes': "On the plate, split visually in two: LEFT side a round golden-brown #e8c547 rösti (potato pancake) as a flat disc, very lightly textured. RIGHT side: a small mound of thin brown-beige #a87253 meat strips in cream sauce, with a few sage-green parsley flecks and dark grey-brown mushroom slices visible."
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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 + "\n\nSCENE: " + 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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try:
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from PIL import Image
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img = Image.open(out_png).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}'); 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'); 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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