#!/usr/bin/env python3
import argparse
import json
import sys
from pathlib import Path

PROJECT_ROOT = Path(__file__).resolve().parents[1]
if str(PROJECT_ROOT) not in sys.path:
    sys.path.insert(0, str(PROJECT_ROOT))


def main() -> None:
    parser = argparse.ArgumentParser(description="Check LeRobot language embeddings coverage.")
    parser.add_argument("--data_root", default="/hfm/data/pick_box")
    args = parser.parse_args()

    data_root = Path(args.data_root)
    meta = data_root / "meta"
    episodes_path = meta / "episodes.jsonl"
    lang_map_path = meta / "lang_map.json"
    embed_dir = meta / "lang_embeddings"

    if not episodes_path.exists():
        raise FileNotFoundError(f"Missing {episodes_path}")

    instructions = []
    with episodes_path.open() as f:
        for line in f:
            row = json.loads(line)
            instructions.append(str(row.get("instruction", "") or "").strip())

    unique_instr = sorted(set(instructions))
    empty_instr = sum(1 for i in instructions if not i)
    print("Unique instructions:", len(unique_instr))
    print("Empty instruction count:", empty_instr)

    if not lang_map_path.exists():
        print("Missing lang_map.json -> embeddings likely not generated.")
        return

    lang_map = json.loads(lang_map_path.read_text())
    missing = [i for i in unique_instr if i not in lang_map]
    print("lang_map entries:", len(lang_map))
    print("Missing instructions in lang_map:", len(missing))

    if embed_dir.exists():
        embed_files = list(embed_dir.glob("*.pt"))
        print("Embedding files:", len(embed_files))
    else:
        print("Missing lang_embeddings directory.")


if __name__ == "__main__":
    main()