#!/usr/bin/env python3
"""
Reconstruct HOT3D PointMotionBench videos in one step.

Runs all three stages sequentially:
  1. Download train_aria TARs from bop-benchmark/hot3d (HuggingFace)
  2. Extract undistorted RGB videos from each TAR
  3. Trim to PointMotionBench frame windows

Requirements: huggingface_hub, imageio[ffmpeg], imageio-ffmpeg, opencv-python-headless, numpy

Usage:
    python hot3d/reconstruct_hot3d.py \
        --workdir  /path/to/hot3d_work \
        --output-dir hot3d/rgbs

    # Pass a HuggingFace token if the dataset is gated:
        --token hf_...

    # Resume a partial run (skip steps already completed):
        --skip-download   # TARs already in <workdir>/train_aria/
        --skip-extract    # RGB videos already in <workdir>/rgbs/
"""

import argparse
import subprocess
import sys
from pathlib import Path

SCRIPTS_DIR = Path(__file__).resolve().parent


def run_step(script_name, *args):
    cmd = [sys.executable, str(SCRIPTS_DIR / script_name), *args]
    print(f"\n{'=' * 60}")
    print(f"[reconstruct_hot3d] {script_name}")
    print(f"{'=' * 60}")
    result = subprocess.run(cmd)
    if result.returncode != 0:
        print(f"\nERROR: {script_name} exited with code {result.returncode}")
        sys.exit(result.returncode)


def main():
    parser = argparse.ArgumentParser(
        description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
    )
    parser.add_argument(
        "--workdir", required=True, type=Path,
        help="Working directory for intermediate files (TARs and full RGB videos)",
    )
    parser.add_argument(
        "--output-dir", type=Path,
        default=Path(__file__).resolve().parent / "rgbs",
        help="Output directory for final trimmed clips (default: hot3d/rgbs/)",
    )
    parser.add_argument(
        "--captions", type=Path,
        default=Path(__file__).resolve().parent / "hot3d_annotations.json",
        help="hot3d_annotations.json (default: alongside this script)",
    )
    parser.add_argument(
        "--token", default=None,
        help="HuggingFace access token for bop-benchmark/hot3d (if gated)",
    )
    parser.add_argument(
        "--skip-download", action="store_true",
        help="Skip step 1 — TARs already in <workdir>/train_aria/",
    )
    parser.add_argument(
        "--skip-extract", action="store_true",
        help="Skip step 2 — RGB videos already in <workdir>/rgbs/",
    )
    args = parser.parse_args()

    train_aria_dir = args.workdir / "train_aria"
    rgbs_dir = args.workdir / "rgbs"

    if not args.skip_download:
        download_args = [
            "--output", str(train_aria_dir),
            "--captions", str(args.captions),
        ]
        if args.token:
            download_args += ["--token", args.token]
        run_step("download_train_aria.py", *download_args)

    if not args.skip_extract:
        run_step(
            "extract_rgbs.py",
            "--clips_dir", str(train_aria_dir),
            "--output_dir", str(rgbs_dir),
        )

    run_step(
        "trim_hot3d_clips.py",
        "--src_dir", str(rgbs_dir),
        "--captions", str(args.captions),
        "--output_dir", str(args.output_dir),
    )

    print(f"\n[reconstruct_hot3d] Done. Clips written to {args.output_dir}")


if __name__ == "__main__":
    main()