image_training_set / upload_file_to_hf.py
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import logging
import os
import argparse
from tqdm import tqdm
from huggingface_hub import HfApi, CommitOperationAdd
from pathlib import Path
def get_all_file(directory: str) -> list:
logging.warning(f"获取 {directory} 中的所有文件绝对路径中")
file_list = []
for dirname, _, filenames in os.walk(directory):
for filename in filenames:
file_list.append(Path(os.path.join(dirname, filename)).as_posix())
logging.warning(f"{directory} 已有的文件数量: {len(file_list)}")
return file_list
def filter_file(file_list: list, root_path) -> list:
logging.warning("过滤文件中")
file_list_ = []
for file_path in file_list:
rel_path = Path(os.path.relpath(file_path, root_path)).as_posix()
if rel_path.startswith(".git") or rel_path.startswith(".huggingface"):
continue
file_list_.append(file_path)
logging.warning(f"过滤后的文件数量: {len(file_list_)}")
return file_list_
def get_hf_repo_file_list(hf_access_token, repo, repo_type):
logging.warning(f"获取 {repo} 中的所有文件路径中")
api = HfApi()
model_list = api.list_repo_files(
repo_id = repo,
repo_type = repo_type,
token = hf_access_token
)
logging.warning(f"{repo} 已有的文件数量: {len(model_list)}")
return model_list
def get_upload_list(file_list: list, hf_file_list: list, root_path) -> list:
logging.warning("计算需要上传的文件中")
upload_list = []
for file_path in file_list:
file_rel_path = Path(os.path.relpath(file_path, root_path)).as_posix()
if file_rel_path not in hf_file_list:
upload_list.append(file_path)
logging.warning(f"需要上传的文件数量: {len(upload_list)}")
return upload_list
def upload_file_to_hf(hf_access_token: str, repo: str, repo_type: str, upload_file_list: list, root_path) -> None:
# 验证 HF Token
api = HfApi()
try:
api.whoami(token = hf_access_token)
logging.warning("HuggingFace Token 验证成功")
except Exception as e:
logging.warning("HuggingFace Token 验证失败: ", e)
# 添加文件操作
operations = []
for local_file_path in tqdm(upload_file_list, desc="添加文件"):
hf_file_path = Path(os.path.relpath(local_file_path, root_path)).as_posix() # 计算在 HuggingFace 仓库中的相对路径
operations.append(CommitOperationAdd(path_in_repo = hf_file_path, path_or_fileobj = local_file_path))
try:
api.create_commit(
repo_id = repo,
operations = operations,
commit_message = f"upload",
repo_type = repo_type,
token = hf_access_token
)
logging.warning("上传文件结束")
except:
logging.error("上传文件出错")
def get_args():
parser = argparse.ArgumentParser()
normalized_filepath = lambda filepath: str(Path(filepath).absolute().as_posix())
parser.add_argument("--hf-token", type = str, default = None, help = "huggingFace Token")
parser.add_argument("--repo", type = str, default = None, help = "仓库的名称")
parser.add_argument("--repo-type", type = str, default = None, help = "HuggingFace 仓库的种类, 如: model, dataset")
parser.add_argument("--upload-path", type = normalized_filepath, default = None, help = "本地要上传文件的路径")
return parser.parse_args()
def main():
args = get_args()
if args.hf_token is None:
logging.error("缺失 HF Token")
return
else:
hf_token = args.hf_token
if args.repo is None:
logging.error("未填写仓库名称")
return
else:
repo = args.repo
if args.repo_type is None:
logging.error("缺少仓库种类")
return
else:
repo_type = args.repo_type
if args.upload_path is None:
root_path = Path(os.path.abspath(__file__)).parent.as_posix()
else:
root_path = args.upload_path
logging.warning(f"repo: {repo}")
logging.warning(f"repo_type: {repo_type}")
logging.warning(f"root_path: {root_path}")
all_file_list = get_all_file(root_path) # 本地所有文件的绝对路径
filtered_file_list = filter_file(all_file_list, root_path) # 除去不需要上传的文件
hf_file_list = get_hf_repo_file_list(hf_access_token = hf_token, repo = repo, repo_type = repo_type) # 获取 HuggingFace 中的文件列表
upload_file_list = get_upload_list(filtered_file_list, hf_file_list, root_path) # 获取需要上传的文件列表
upload_file_to_hf(
hf_access_token = hf_token,
repo = repo,
repo_type = repo_type,
upload_file_list = upload_file_list,
root_path = root_path)
main()