#!/usr/bin/env python3
"""
推送数据集到 HuggingFace

用法:
    python push_to_hf.py --repo your-username/sre-challenge-dataset
"""

import argparse
import sys
from pathlib import Path

def push_to_huggingface(repo_id):
    """推送到 HuggingFace"""
    try:
        from huggingface_hub import HfApi
    except ImportError:
        print("请先安装: pip install huggingface_hub")
        return

    import subprocess
    dataset_dir = Path(__file__).parent

    # 先生成 parquet（HF viewer 不能自动转换深度嵌套 JSON）
    print("正在生成 parquet...")
    subprocess.run([sys.executable, str(dataset_dir / "gen_parquet.py")], check=True)

    api = HfApi()

    print(f"正在推送到 {repo_id}...")

    # 上传所有文件
    api.upload_folder(
        folder_path=str(dataset_dir),
        repo_id=repo_id,
        repo_type="dataset",
        ignore_patterns=["*.pyc", "__pycache__", ".git", "*.sh"]
    )

    print(f"✅ 推送成功: https://huggingface.co/datasets/{repo_id}")


def main():
    parser = argparse.ArgumentParser(description='推送到 HuggingFace')
    parser.add_argument('--repo', required=True, help='仓库名，格式: username/dataset-name')

    args = parser.parse_args()
    push_to_huggingface(args.repo)


if __name__ == '__main__':
    main()