huggiingface.py

import os
import subprocess
import shutil
from huggingface_hub import HfApi

# --- 配置区域 ---
RCLONE_REMOTE = "h-ceph:jiazhongjie/FastUMI_lerobot_filtered/single_arm/"
LOCAL_BASE_DIR = "/mnt/petrelfs/jiazhongjie/FastUMI_100K_to_lerobot/FastUMI100k/single_arm"
REPO_ID = "IPEC-COMMUNITY/FastUMI_100k_lerobot"
HF_REPO_ROOT = "single_arm" # 仓库内的顶层目录

# 设置国内镜像
os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"


os.environ["HF_ENDPOINT"] = "https://hf-mirror.com"

api = HfApi()

def get_folders_from_rclone():
    """获取 rclone 目录下所有的子文件夹名称"""
    result = subprocess.check_output(["rclone", "lsf", "--dirs-only", RCLONE_REMOTE], text=True)
    return [f.strip('/') for f in result.splitlines()]

def transfer():
    folders = get_folders_from_rclone()
    print(f"检测到 {len(folders)} 个待处理文件夹: {folders}")
    folders = ['TEST']
    for folder in folders:
        local_path = os.path.join(LOCAL_BASE_DIR, folder)
        remote_path = f"{RCLONE_REMOTE}{folder}"
        repo_path = f"{HF_REPO_ROOT}/{folder}"
        
        print(f"\n>>> 正在处理: {folder}")

        # 1. 下载到本地
        print(f"正在从 rclone 下载 {folder}...")
        os.makedirs(local_path, exist_ok=True)
        # subprocess.run(["/usr/bin/rclone", "copy", remote_path, local_path, "-P"], check=True)

        # 2. 上传到 Hugging Face
        print(f"正在上传到 Hugging Face: {repo_path}...")
        subprocess.run([
            'hf',
            'upload',
            REPO_ID,
            local_path,
            f"{HF_REPO_ROOT}/{folder}",
            '--repo-type',
            'dataset',
        ])

        # 3. 删除本地数据
        print(f"上传完成，正在删除本地数据: {local_path}")
        # shutil.rmtree(local_path)
        print(f"已清理: {folder}")

if __name__ == "__main__":
    transfer()