"""
Regen shot-04, shot-06, shot-07 with corrected scenes.
shot-04: carpet before/after reveal, no machine
shot-06: clean bright staircase, no machine
shot-07: bright modern office, no dark tones
"""
import os, sys, time, subprocess

try:
    from google import genai
    from google.genai import types
except ImportError:
    os.system(f"{sys.executable} -m pip install google-genai --quiet")
    from google import genai
    from google.genai import types

API_KEY  = os.environ.get("GEMINI_API_KEY", "AIzaSyB_1p8KvaT_rdNJGPs8HKk8bKsvUlcL6Kg")
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
VID_DIR  = os.path.join(BASE_DIR, "assets", "videos", "hero", "clips")
REEL_OUT = os.path.join(BASE_DIR, "assets", "videos", "hero", "hero-reel.mp4")
client   = genai.Client(api_key=API_KEY)

SHOTS = [
    {
        "name": "shot-04-extraction-carpet",
        "prompt": (
            "Cinematic slow-motion wide shot. Camera glides low across a residential living room carpet. "
            "The left half of the carpet is visibly dirty, stained, and matted. "
            "The right half is bright, clean, fluffy, and freshly extracted. "
            "The boundary between dirty and clean is sharp and dramatic. "
            "Warm natural afternoon light. No people. No machines. No equipment. Photorealistic."
        ),
    },
    {
        "name": "shot-06-extraction-stairs",
        "prompt": (
            "Cinematic slow-motion shot looking up a bright residential carpeted staircase. "
            "Each step has clean, bright, plush beige carpet with fresh extraction lines. "
            "Warm natural light from above illuminates the stairs. Wood banisters on each side. "
            "No people. No machines. No equipment anywhere in frame. Photorealistic."
        ),
    },
    {
        "name": "shot-07-office-entryway",
        "prompt": (
            "Wide cinematic shot of a bright modern commercial office building lobby. "
            "Large windows let in abundant natural daylight. Clean beige or grey commercial carpet throughout. "
            "White walls, professional lighting, glass doors, contemporary furniture. "
            "The carpet looks spotlessly clean with neat vacuum lines. "
            "No people. No machines. No dark tones — the space is bright and well-lit. Photorealistic."
        ),
    },
]

MODEL = "veo-3.1-generate-preview"

def poll(op, timeout=600):
    elapsed = 0
    while not op.done:
        if elapsed >= timeout:
            print(f"  Timed out after {timeout}s.")
            return None
        print(f"  Waiting... ({elapsed}s)")
        time.sleep(15)
        elapsed += 15
        op = client.operations.get(op)
    return op

saved = []
for item in SHOTS:
    out_path = os.path.join(VID_DIR, f"{item['name']}.mp4")
    print(f"\n[VID] Generating {item['name']}...")
    try:
        op = client.models.generate_videos(
            model=MODEL,
            prompt=item["prompt"],
            config=types.GenerateVideosConfig(
                aspect_ratio="16:9",
                resolution="720p",
                duration_seconds=6,
                number_of_videos=1,
            ),
        )
        op = poll(op)
        if op is None:
            print(f"  FAILED (timeout)")
            continue
        if op.response and op.response.generated_videos:
            vid = op.response.generated_videos[0].video
            video_bytes = client.files.download(file=vid)
            if video_bytes:
                with open(out_path, "wb") as f:
                    f.write(video_bytes)
                print(f"  Saved ({os.path.getsize(out_path)//1024}KB)")
                saved.append(item["name"])
            else:
                try:
                    vid.save(out_path)
                    print(f"  Saved via .save() ({os.path.getsize(out_path)//1024}KB)")
                    saved.append(item["name"])
                except Exception as e2:
                    print(f"  Download failed: {e2}")
        else:
            print(f"  No video returned")
    except Exception as e:
        print(f"  Error: {e}")

print(f"\n{len(saved)}/{len(SHOTS)} shots saved: {saved}")

ORDER = [
    "shot-01-door-opens-trimmed",
    "shot-02-pan-to-stains",
    "shot-03-stain-closeup",
    "shot-04-extraction-carpet",
    "shot-05-extraction-couch",
    "shot-06-extraction-stairs",
    "shot-07-office-entryway",
    "shot-08-showroom",
    "shot-09-technician-unloading",
]

missing = [n for n in ORDER if not os.path.exists(os.path.join(VID_DIR, f"{n}.mp4"))]
if missing:
    print(f"\nSkipping reconcat — missing: {missing}")
else:
    print("\nReconcatenating hero-reel.mp4...")
    concat_file = os.path.join(VID_DIR, "concat.txt")
    with open(concat_file, "w") as f:
        for name in ORDER:
            f.write(f"file '{os.path.join(VID_DIR, name)}.mp4'\n")
    result = subprocess.run(
        ["ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", concat_file,
         "-c:v", "libx264", "-crf", "22", "-preset", "fast",
         "-movflags", "+faststart", REEL_OUT],
        capture_output=True, text=True
    )
    if result.returncode == 0:
        print(f"  Reel saved ({os.path.getsize(REEL_OUT)//1024}KB)")
    else:
        print(f"  ffmpeg error: {result.stderr[-400:]}")

print("\nDone.")