"""
Generate offline HTML + render-model snapshots for stress inputs.

Uses fallback segmentation (no model downloads).
"""

import argparse
import json
import sys
from pathlib import Path

ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))

from core.segmentation import fallback_token_info
from visualization.html_generator import generate_comparison_html
SAMPLES_DIR = ROOT / "tests" / "samples"


def main() -> None:
    parser = argparse.ArgumentParser(description="Generate offline snapshot HTML/JSON.")
    parser.add_argument("--out", type=Path, default=ROOT / "tests" / "golden", help="Output directory")
    args = parser.parse_args()

    input_path = SAMPLES_DIR / "stress_inputs.txt"
    text = input_path.read_text(encoding="utf-8")

    byte_len = len(text.encode("utf-8"))
    losses_a = [0.5] * byte_len
    losses_b = [0.6] * byte_len

    html, render_model = generate_comparison_html(
        text=text,
        byte_losses_a=losses_a,
        byte_losses_b=losses_b,
        model_a_name="RWKV7 (dummy)",
        model_b_name="Qwen3 (dummy)",
        topk_predictions_a=None,
        topk_predictions_b=None,
        tokenizer_a=None,
        tokenizer_b=None,
        model_type_a="rwkv7",
        model_type_b="hf",
        token_info_override=fallback_token_info(text),
        return_render_model=True,
    )

    out_dir = args.out
    out_dir.mkdir(parents=True, exist_ok=True)

    html_path = out_dir / "stress.output.html"
    json_path = out_dir / "stress.render_model.json"

    html_path.write_text(html, encoding="utf-8")
    with json_path.open("w", encoding="utf-8") as f:
        json.dump(render_model, f, ensure_ascii=False, indent=2)

    print(f"Wrote {html_path}")
    print(f"Wrote {json_path}")


if __name__ == "__main__":
    main()