"""Generate 4 cinematic persona images — moment shots, not portraits.
Wide 2:1 aspect ratio for editorial strip layout.
"""
import os, time
from concurrent.futures import ThreadPoolExecutor, as_completed
from google import genai
from google.genai import types

client = genai.Client(api_key="AIzaSyCHnesXLjPw-UgeZaQotut66bgjFdvy12E")
OUT = "pledge-now-pay-later/public/images/landing"

PROMPTS = {
    "persona-01-dinner.jpg": (
        "End of a charity fundraising dinner. A round banquet table, white tablecloth slightly rumpled. "
        "A single small pledge card sits slightly askew on the tablecloth near an empty water glass. "
        "Chairs pushed back. Warm tungsten chandelier light creates golden glow. A few guests leaving "
        "in the far background, blurred. Crumpled napkin. The generosity happened here, but the table "
        "is emptying. Cinematic wide shot, melancholy but beautiful. No one looking at camera. "
        "Shot on Leica Q2, 28mm, f/1.7, available light. Portra-like color rendering. "
        "2:1 landscape aspect ratio."
    ),
    "persona-02-phone.jpg": (
        "Close-up of a British South Asian woman's hands holding a smartphone above a wooden kitchen table. "
        "The phone screen shows a messaging app with a green chat bubble. Warm afternoon window light "
        "from the left illuminates the scene. Shallow depth of field - the rest of the table (a mug, "
        "a notebook) is softly blurred. Her sleeves are pushed up casually. Intimate, everyday, relatable. "
        "Not looking at camera - we only see hands and phone. "
        "Shot on Sony A7III, 55mm, f/1.4, natural light. Warm, honest. "
        "2:1 landscape aspect ratio."
    ),
    "persona-03-volunteer.jpg": (
        "A young British South Asian man with a lanyard and dark polo shirt, seen from behind and slightly "
        "to the side, walking between round dinner tables at a charity gala. He carries a small stack of "
        "cards in one hand. Seated guests in smart dress at the white-clothed tables. Warm golden gala "
        "lighting, crystal chandelier bokeh in the upper background. The volunteer is in motion, purposeful. "
        "Not looking at camera. Other volunteers visible but blurred. Energy, purpose, youth. "
        "Shot on Canon EOS R5, 35mm, f/1.8, available light. Documentary candid event photography. "
        "2:1 landscape aspect ratio."
    ),
    "persona-04-desk.jpg": (
        "A clean wooden desk photographed from a 45-degree overhead angle. An open laptop shows a "
        "spreadsheet with organized rows and a green progress indicator. Beside the laptop: a neat stack "
        "of printed A4 papers with a black binder clip, a fine-point pen, and a ceramic mug of tea. "
        "Soft morning window light from the left creates gentle shadows. No person visible - just the "
        "workspace. Everything is orderly, calm, under control. Documentary still life. "
        "Shot on Fujifilm GFX 50S, 63mm, f/4.0, natural light. Calm, precise. "
        "2:1 landscape aspect ratio."
    ),
}

def generate(filename, prompt):
    t0 = time.time()
    print(f"  [GEN] {filename}...")
    try:
        resp = client.models.generate_content(
            model="gemini-3-pro-image-preview",
            contents=prompt,
            config=types.GenerateContentConfig(
                response_modalities=["TEXT", "IMAGE"],
            ),
        )
        for part in resp.candidates[0].content.parts:
            if part.inline_data:
                path = os.path.join(OUT, filename)
                with open(path, "wb") as f:
                    f.write(part.inline_data.data)
                sz = os.path.getsize(path) / 1024
                print(f"  [OK] {filename} -- {sz:.0f}KB ({time.time()-t0:.1f}s)")
                return filename, True
        print(f"  [FAIL] {filename} -- no image in response")
        return filename, False
    except Exception as e:
        print(f"  [FAIL] {filename} -- {e}")
        return filename, False

if __name__ == "__main__":
    print(f"Generating {len(PROMPTS)} cinematic persona images...")
    ok = 0
    with ThreadPoolExecutor(max_workers=2) as pool:
        futures = {pool.submit(generate, fn, p): fn for fn, p in PROMPTS.items()}
        for f in as_completed(futures):
            _, success = f.result()
            if success: ok += 1
    print(f"\nDone: {ok}/{len(PROMPTS)} ok")
