#!/usr/bin/env python3 """Generiert ein großes Hero-Bild für die Weltküche-Lehrer-Übersicht. Output: App/sims/weltkueche/assets/img/hero-card.webp (960x480)""" import json, os, subprocess, sys, tempfile, base64 from pathlib import Path KEY = None env_path = 'C:/xampp/htdocs/geograsim/App/.env.local' with open(env_path, 'r', encoding='utf-8') as f: for line in f: if line.startswith('OPENAI_API_KEY='): KEY = line.split('=', 1)[1].strip().strip('"').strip("'") break if not KEY: sys.exit('OPENAI_API_KEY nicht in .env.local') OUT_DIR = Path('C:/xampp/htdocs/geograsim/App/sims/weltkueche/assets/img') ORIG_DIR = OUT_DIR / '_original' OUT_DIR.mkdir(parents=True, exist_ok=True) ORIG_DIR.mkdir(parents=True, exist_ok=True) PROMPT = ( "CRITICAL STYLE: flat vector illustration, children's-book / Scandinavian poster art, " "NO photography, NO 3D rendering, NO realistic shading, NO photographic textures, NO gradients. " "Wide-shape silhouettes with flat solid color fills, clean cut edges, simple geometric forms. " "Strict palette: dark forest green #1f4b37, sage green #4a7c4e, yellow-mustard #e8c547, " "warm beige #e8e4d8, white highlights, optional small red-orange accent #c97b5a. " "ASPECT: wide horizontal banner (2:1) — composition fills the full width edge to edge, " "background warm beige #e8e4d8. " "COMPOSITION: a large stylized world map silhouette in sage green spans the center, " "with dotted dark forest green trade-route lines arcing from various continents toward Europe. " "Around the edges, floating flat food icons (each clearly recognizable from its silhouette): " "a yellow-mustard banana (top-left), a red-orange tomato (top-right), a forest-green coffee bean cluster (right), " "a sage-green chili pepper (bottom-right), a beige loaf of bread (bottom-left), a small white cheese wedge (left), " "a brown chocolate square (top-center). " "The trade-route lines connect each food icon to its origin region on the map. " "Small ship and airplane silhouettes in dark forest green along two of the routes. " "FORBIDDEN: text, letters, numbers, watermarks, logos, borders, frames, photo-realistic lighting, " "lens-flare, people faces, hands, brand names, shadows." ) def generate(): out_png = ORIG_DIR / 'hero-card.png' out_webp = OUT_DIR / 'hero-card.webp' body = json.dumps({'model': 'gpt-image-2', 'prompt': PROMPT, 'n': 1, 'size': '1536x1024'}, ensure_ascii=False) with tempfile.NamedTemporaryFile(mode='w', encoding='utf-8', suffix='.json', delete=False) as f: f.write(body); bpath = f.name r = subprocess.run(['curl', '-sS', '-X', 'POST', 'https://api.openai.com/v1/images/generations', '-H', 'Authorization: Bearer ' + KEY, '-H', 'Content-Type: application/json', '--data-binary', '@' + bpath], capture_output=True, text=True, timeout=300) os.unlink(bpath) try: data = json.loads(r.stdout) item = data['data'][0] if 'b64_json' in item: with open(out_png, 'wb') as f: f.write(base64.b64decode(item['b64_json'])) elif 'url' in item: subprocess.run(['curl', '-sS', '-o', str(out_png), item['url']], capture_output=True, text=True, timeout=60) else: print(r.stdout[:500]) return False except Exception as e: print(f'FAIL: {e}\n{r.stdout[:300]}') return False if not out_png.exists() or out_png.stat().st_size < 10000: return False try: from PIL import Image img = Image.open(out_png) # 2:1 ratio, 960x480 für Web-Hero w, h = img.size target_ratio = 2 / 1 if w / h > target_ratio: new_w = int(h * target_ratio); off = (w - new_w) // 2 img = img.crop((off, 0, off + new_w, h)) else: new_h = int(w / target_ratio); off = (h - new_h) // 2 img = img.crop((0, off, w, off + new_h)) img = img.resize((960, 480), Image.LANCZOS) img.save(out_webp, 'webp', quality=88, method=6) except Exception as e: print(f'WebP-Fail: {e}') return False return True print('-> hero-card ...', flush=True) ok = generate() print(f' {"OK" if ok else "FAIL"}: hero-card.webp')