from __future__ import annotations

import argparse
from pathlib import Path

import numpy as np

from common import ROOT
from dynafall.data import save_pickle


def make_video(label: int, frames: int, rng: np.random.Generator) -> np.ndarray:
    base = rng.normal(0, 0.04, size=(frames, 17, 3)).astype(np.float32)
    base[..., 2] = rng.uniform(0.75, 1.0, size=(frames, 17))
    y = np.linspace(-0.5, 0.5, 17)[None, :, None]
    x = np.linspace(-0.25, 0.25, 17)[None, :, None]
    base[..., :1] += x
    base[..., 1:2] += y
    if label == 1:
        fall_start = frames // 3
        drop = np.linspace(0, 1.2, frames - fall_start)[:, None]
        base[fall_start:, :, 1] += drop
        base[fall_start:, [11, 12, 13, 14, 15, 16], 1] += drop * 0.4
        base[fall_start:, :, 0] *= 1.8
    else:
        walk = np.sin(np.linspace(0, 4 * np.pi, frames))[:, None] * 0.08
        base[:, :, 0] += walk
    return base.astype(np.float32)


def main() -> None:
    ap = argparse.ArgumentParser()
    ap.add_argument("--dataset", default="Synthetic")
    ap.add_argument("--videos", type=int, default=40)
    ap.add_argument("--seed", type=int, default=7)
    args = ap.parse_args()
    rng = np.random.default_rng(args.seed)
    records = []
    for i in range(args.videos):
        label = int(i % 2 == 0)
        frames = int(rng.integers(36, 80))
        records.append({"video_id": f"{args.dataset}_{i:03d}", "label": label, "keypoints": make_video(label, frames, rng)})
    out = ROOT / "data/poses" / f"{args.dataset}_keypoints.pkl"
    save_pickle(records, out)
    print(f"Wrote {out} ({len(records)} videos)")


if __name__ == "__main__":
    main()