#!/usr/bin/env python3
"""Within Us AI: Upload helper for Genesis repos.

Requires:
  pip install datasets huggingface_hub pyarrow pandas

Usage:
  huggingface-cli login
  python scripts/hf_upload.py --repo_id YOURNAME/REPO --data_dir data
"""
from __future__ import annotations
import argparse
from pathlib import Path
from datasets import load_dataset

def main() -> int:
    ap = argparse.ArgumentParser()
    ap.add_argument("--repo_id", required=True)
    ap.add_argument("--data_dir", default="data")
    ap.add_argument("--private", action="store_true")
    args = ap.parse_args()

    d = Path(args.data_dir)
    # Prefer parquet if present
    parquet_train = str(d / "train-*.parquet")
    parquet_val = str(d / "validation-*.parquet")
    ds = load_dataset("parquet", data_files={"train": parquet_train, "validation": parquet_val})
    if len(ds["train"]) == 0:
        ds = load_dataset("json", data_files={"train": str(d/"train-*.jsonl"), "validation": str(d/"validation-*.jsonl")})
    ds.push_to_hub(args.repo_id, private=args.private)
    print(f"Uploaded to https://huggingface.co/datasets/{args.repo_id}")
    return 0

if __name__ == "__main__":
    raise SystemExit(main())