#!/usr/bin/env python3 """ Production A-5 (CTA) — Meta Carousel Slide (밝은 톤 재제작) 밝고 따뜻한 크림/골드 톤 — A-4와 연속되는 캐러셀 클라이맥스 Hybrid: Gemini background + Playwright HTML overlay Output: /home/jay/workspace/output/meta-ads/a-group-v6/production/meta-A5-cta.png """ import base64 import sys import time from pathlib import Path import requests from playwright.sync_api import sync_playwright # ── paths ────────────────────────────────────────────────────────────────────── OUTPUT_DIR = Path("/home/jay/workspace/output/meta-ads/a-group-v6/production") BG_PATH = OUTPUT_DIR / "_bg_a5_cta.jpg" HTML_PATH = OUTPUT_DIR / "_a5_cta_template.html" OUT_PATH = OUTPUT_DIR / "meta-A5-cta.png" FONT_DIR = Path.home() / ".local/share/fonts/Pretendard" OUTPUT_DIR.mkdir(parents=True, exist_ok=True) # ── Gemini config ────────────────────────────────────────────────────────────── sys.path.insert(0, "/home/jay/workspace/tools/ai-image-gen") import gcloud_auth # noqa: E402 GEMINI_API_BASE = "https://generativelanguage.googleapis.com/v1beta" MODEL_PRIMARY = "gemini-3-pro-image-preview" MODEL_FALLBACK = "gemini-3.1-flash-image-preview" MODEL_FALLBACK2 = "gemini-2.5-flash-preview-04-17" SCOPE = "https://www.googleapis.com/auth/generative-language" BG_PROMPT = """ Warm bright morning sunlight streaming through large modern windows into a premium consultancy office. Soft golden light particles floating in the air. Warm cream and gold color palette dominant. Bright, hopeful, professional atmosphere. Shallow depth of field, bokeh effect. No people, no text, no furniture in focus. High-end commercial photography style. Square format 1:1. COMPOSITION: 1:1 square, 1080x1080px. Full bleed. No text, no people, no faces. VISUAL CONCEPT: Luxurious bright morning scene — a premium consulting or financial advisory office space bathed in warm golden morning sunlight. Light streams dramatically through floor-to-ceiling windows, creating beautiful lens flares and golden bokeh particles. The space feels aspirational, warm, and achievable — the "destination" at the end of a journey. BACKGROUND ELEMENTS: - Warm cream / ivory base (#F5F0E8 family) — bright and luminous - Brilliant warm golden sunlight (#E8C870 / #C9A84C tones) streaming from upper-right or upper-center - Soft bokeh circles — warm gold and cream tones, out-of-focus background elements - Very subtle architectural lines (window frames, clean edges) just barely visible - Golden light particles / dust motes floating in the air, catching light - Top-center: brightest area — convergence of light rays - Overall: luminous, airy, premium, "threshold of success" feeling MOOD / ATMOSPHERE: - Achievement. Clarity. Warmth. Forward momentum. - The brightest, most hopeful moment in a journey - Premium Korean financial advisory aesthetics - "Just one more step" — action-ready, confident energy - Continuation of a warm cream background series (matching slide 4) COLOR PALETTE: - Primary: Warm cream (#F5F0E8), golden ivory (#F0E8D0), bright off-white - Golden accent glow: #C9A84C to #E8C870 — warm, rich, visible but not harsh - No dark tones whatsoever — this is the bright payoff slide - No cool tones — only warm cream/gold/ivory family - Maximum warmth and luminosity STYLE REQUIREMENTS: - NO people, faces, hands, or figures - NO text, numbers, labels, or UI elements - NO dark zones — keep entire image bright and luminous - Photorealistic commercial photography quality - Premium advertising background — supportive of overlaid text - The content overlay will use dark text (#1A202C), so background must remain bright - Ensure center-bottom area has some texture/depth for CTA button visibility """ # ── Step 1: Generate Gemini background ──────────────────────────────────────── def generate_background() -> Path: if BG_PATH.exists(): print(f"[BG] 기존 배경 이미지 재사용: {BG_PATH}") return BG_PATH print("[BG] Gemini API로 배경 이미지 생성 중...") token = gcloud_auth.get_service_account_token(SCOPE) def _call(model_id: str) -> requests.Response: url = f"{GEMINI_API_BASE}/models/{model_id}:generateContent" headers = { "Authorization": f"Bearer {token}", "Content-Type": "application/json", } payload = { "contents": [{"parts": [{"text": BG_PROMPT}]}], "generationConfig": {"responseModalities": ["IMAGE", "TEXT"]}, } return requests.post(url, headers=headers, json=payload, timeout=300) t0 = time.time() for model_id in [MODEL_PRIMARY, MODEL_FALLBACK, MODEL_FALLBACK2]: print(f" -> 모델 시도: {model_id}") try: resp = _call(model_id) except Exception as e: print(f" [WARN] 요청 실패: {e}") continue if resp.status_code in (403, 404, 429): print(f" [WARN] HTTP {resp.status_code} — 다음 모델 시도") continue try: resp.raise_for_status() except requests.HTTPError as e: print(f" [ERROR] HTTP {e.response.status_code}: {e.response.text[:300]}") continue data = resp.json() candidates = data.get("candidates", []) if not candidates: print(f" [WARN] candidates 없음: {str(data)[:200]}") continue parts = candidates[0].get("content", {}).get("parts", []) img_part = next((p for p in parts if "inlineData" in p), None) if img_part is None: texts = [p.get("text", "") for p in parts if "text" in p] print(f" [WARN] 이미지 없음. 텍스트: {texts[:2]}") continue mime = img_part["inlineData"].get("mimeType", "image/jpeg") b64 = img_part["inlineData"]["data"] ext = ".jpg" if "jpeg" in mime else ".png" fpath = BG_PATH.with_suffix(ext) fpath.write_bytes(base64.b64decode(b64)) print(f"[BG] 완료: {fpath.name} ({fpath.stat().st_size:,} bytes, {time.time()-t0:.1f}초)") return fpath raise RuntimeError("[BG] 모든 모델 시도 실패") # ── Step 2: Build HTML overlay ────────────────────────────────────────────────── def build_html(bg_path: Path) -> str: bg_url = f"file://{bg_path.resolve()}" font_dir = str(FONT_DIR) return f"""
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""" def write_html(bg_path: Path) -> Path: html_content = build_html(bg_path) HTML_PATH.write_text(html_content, encoding="utf-8") print(f"[HTML] 오버레이 저장: {HTML_PATH}") return HTML_PATH # ── Step 3: Playwright screenshot ───────────────────────────────────────────── def capture(html_path: Path, out_path: Path) -> None: print("[RENDER] Playwright 캡처 시작...") with sync_playwright() as p: browser = p.chromium.launch(args=["--no-sandbox", "--disable-dev-shm-usage"]) try: page = browser.new_page(viewport={"width": 1080, "height": 1080}) page.goto(f"file://{html_path.resolve()}", wait_until="networkidle") # Wait for fonts and background image page.evaluate("async () => { await document.fonts.ready; }") page.wait_for_timeout(3000) out_path.parent.mkdir(parents=True, exist_ok=True) page.screenshot( path=str(out_path), type="png", clip={"x": 0, "y": 0, "width": 1080, "height": 1080}, ) finally: browser.close() size_kb = out_path.stat().st_size / 1024 print(f"[RENDER] 완료: {out_path} ({size_kb:.0f} KB)") # ── Main ─────────────────────────────────────────────────────────────────────── if __name__ == "__main__": t_start = time.time() print("=" * 60) print("Production A-5 (CTA) — 밝은 톤 재제작") print(f"출력: {OUT_PATH}") print("=" * 60) bg = generate_background() html = write_html(bg) capture(html, OUT_PATH) elapsed = time.time() - t_start print(f"\n[완료] {OUT_PATH.name} ({elapsed:.1f}초 총 소요)") if OUT_PATH.exists(): print(f" 파일 크기: {OUT_PATH.stat().st_size / 1024:.0f} KB") print(f" 경로: {OUT_PATH}")