import os
import sys
from huggingface_hub import HfApi, login

# ===== 配置 =====
HF_TOKEN = "YOUR_HF_TOKEN_HERE"   # 请替换为你的 Token，不要硬编码在代码里
REPO_ID = "KaiKCZhang/TideEater"
REPO_TYPE = "dataset"
FOLDER_PATH = r"E:\UEProject\TideEater"

# 忽略的目录和文件（对应 .gitignore）
IGNORE_PATTERNS = [
    ".vs",
    "Binaries",
    "Build",
    "Saved",
    "Intermediate",
    "DerivedDataCache",
    "*.sln",
    "*.dll",
    "*.exe",
    "*.pdb",
    "*.lib",
    "*.obj",
    "hf_upload.py",  # 排除本脚本自身
]

# ===== 执行上传 =====
api = HfApi()

# 1. 登录并验证 Token
print("正在验证 Token...")
try:
    login(token=HF_TOKEN, add_to_git_credential=False)
    user = api.whoami()
    print(f"Token 有效，用户：{user['name']}")
except Exception as e:
    print(f"Token 验证失败：{e}")
    sys.exit(1)

# 2. 确认仓库存在
print(f"\n目标仓库：https://huggingface.co/datasets/{REPO_ID}")

# 3. 开始上传
print(f"\n开始上传文件夹：{FOLDER_PATH}")
print("（支持断点续传，如果中断可以重新运行此脚本）\n")

try:
    api.upload_large_folder(
        folder_path=FOLDER_PATH,
        repo_id=REPO_ID,
        repo_type=REPO_TYPE,
        ignore_patterns=IGNORE_PATTERNS,
        num_workers=1,          # 单线程上传，避免并发触发 rate limit
        chunk_size=500,         # 每次提交最多 500 个文件，大幅减少提交次数
    )
    print("\n✅ 上传完成！")
    print(f"查看地址：https://huggingface.co/datasets/{REPO_ID}")
except Exception as e:
    print(f"\n❌ 上传出错：{e}")
    sys.exit(1)