#!/usr/bin/env python3 """ Pilot A-3 (Solution) — Meta Carousel Slide Deep navy → Gold/Ivory blueprint aesthetic Hybrid: Gemini background + Playwright HTML overlay """ import base64 import sys import time from pathlib import Path import requests from playwright.sync_api import sync_playwright # ── paths ───────────────────────────────────────────────────────────────────── BASE_DIR = Path("/home/jay/workspace/output/meta-ads/a-group-v6/pilot") BG_PATH = BASE_DIR / "bg_A3.jpg" HTML_PATH = BASE_DIR / "overlay_A3.html" OUT_PATH = BASE_DIR / "pilot-A3-solution.png" BASE_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" SCOPE = "https://www.googleapis.com/auth/generative-language" BG_PROMPT = """ Create a dark, premium architectural blueprint visualization for a luxury insurance strategy advertisement. COMPOSITION: 1:1 square, 1080x1080px. Full bleed. SCENE: An intricate, glowing technical diagram — a precision sales flow network — unfolding in deep darkness. Blueprint-style lines and nodes form a connected strategy map. The diagram has geometric precision: clean vector-like glowing lines connecting circular and rectangular nodes. Three clearly labeled node clusters are visible: flowing connection paths between them. VISUAL LANGUAGE: - Blueprint / engineering schematic aesthetic - Glowing cyan-gold lines on deep navy background - Lines and nodes reminiscent of circuit boards + architectural floor plans - The system diagram occupies the center-left area of the frame - Subtle grid pattern in extreme background (like graph paper, very faint) - Depth: foreground elements sharp and bright, background fades into darkness LIGHTING / COLOR: - Dominant: Deep navy blue (#1A2F5E) to near-black - Glowing elements: Gold (#C9A84C) and warm ivory lines - Occasional faint teal-blue accent on technical grid lines - Top 40% of image: deepest navy, almost black — good for text overlay - Bottom 30%: slightly lighter, warm glow rising from lower-left as if dawn breaking — subtle gold-ivory light suggesting transition from dark to light (this is slide 3 of 5 in a dark-to-light journey) - Overall: intelligent warmth, NOT cold tech blue STYLE: - Like a McKinsey strategy presentation visual made into premium advertising - Premium, dark luxury advertising — Rolex / Patek Philippe meets consulting firm - NO stock photo aesthetic - NO people, faces, or human figures - NO text or labels — all text will be overlaid separately - NO bright white areas - Cinematic quality, ultra-detailed MOOD: Precision. Intelligence. Systematic. Warm authority. The system itself is the protagonist. """ # ── 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() resp = _call(MODEL_PRIMARY) if resp.status_code in (403, 404): print(f"[BG] Pro 모델 실패 (HTTP {resp.status_code}), fallback 시도...") resp = _call(MODEL_FALLBACK) resp.raise_for_status() data = resp.json() parts = data["candidates"][0]["content"]["parts"] img_part = next((p for p in parts if "inlineData" in p), None) if img_part is None: raise RuntimeError(f"이미지 없음. 응답: {str(data)[:400]}") 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 # ── Step 2: Write HTML overlay ───────────────────────────────────────────────── HTML_TEMPLATE = """\
3 / 5
서울대보험쌤
SOLUTION · A-3

서울대 출신 팀장이
보험 영업을
다시 설계했다.

감각이 아닌 — 데이터로,
경험이 아닌 — 시스템으로.
혼자 뛰지 않아도 되는 구조를 만들었다.
SEOUL NATIONAL UNIV. · INSURANCE SYSTEM DESIGN
""" def write_html(bg_path: Path) -> Path: bg_url = f"file://{bg_path.resolve()}" html = HTML_TEMPLATE.format(bg_url=bg_url) HTML_PATH.write_text(html, encoding="utf-8") print(f"[HTML] 오버레이 작성: {HTML_PATH}") return HTML_PATH # ── Step 3: Playwright screenshot ───────────────────────────────────────────── def capture(html_path: Path, out_path: Path) -> None: print(f"[RENDER] Playwright 캡처 시작...") with sync_playwright() as p: browser = p.chromium.launch() try: page = browser.new_page(viewport={"width": 1080, "height": 1080}) page.goto(f"file://{html_path.resolve()}", wait_until="networkidle") # Wait for fonts page.evaluate("async () => { await document.fonts.ready; }") page.wait_for_timeout(2000) 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("Pilot A-3 (Solution) — 하이브리드 이미지 생성") 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)")