Skip to main content

Python SDK for XiaoShi AI Hub - Upload, download, and manage AI models and datasets with encryption support

Project description

XiaoShi AI Hub Python SDK

PyPI version Python Support License

XiaoShi AI Hub Python SDK 是一个功能强大的 Python 库,用于与 XiaoShi AI Hub 平台进行交互。它提供了简单易用的 API,支持模型和数据集的上传、下载、加密等功能。

English | 简体中文

✨ 特性

  • 🚀 简单易用 - 类似 Hugging Face Hub 的 API 设计,上手即用
  • 📥 下载功能 - 支持下载单个文件或整个仓库
  • 📤 上传功能 - 支持上传文件和文件夹到仓库
  • 🔐 加密支持 - 内置多种加密算法(AES、SM4、RSA、SM2)
  • 🎯 模式匹配 - 支持使用 allow/ignore 模式过滤文件
  • 📊 进度显示 - 下载和上传时显示进度条
  • 🔑 多种认证 - 支持用户名/密码和 Token 认证
  • 🌐 环境变量配置 - 灵活的 Hub URL 配置
  • 💾 缓存支持 - 高效的文件缓存机制
  • 🔍 类型提示 - 完整的类型注解,IDE 友好

📦 安装

基础安装(仅下载功能)

pip install xiaoshiai-hub

完整安装(包含上传功能)

pip install xiaoshiai-hub[upload]

开发安装

pip install xiaoshiai-hub[dev]

完整安装(所有功能)

pip install xiaoshiai-hub[all]

🚀 快速开始

下载单个文件

from xiaoshiai_hub import moha_hub_download

# 下载单个文件
file_path = moha_hub_download(
    repo_id="demo/demo",
    filename="config.yaml",
    repo_type="models",  # 或 "datasets"
    username="your-username",
    password="your-password",
)
print(f"文件已下载到: {file_path}")

下载整个仓库

from xiaoshiai_hub import snapshot_download

# 下载整个仓库
repo_path = snapshot_download(
    repo_id="demo/demo",
    repo_type="models",
    username="your-username",
    password="your-password",
)
print(f"仓库已下载到: {repo_path}")

使用过滤器下载

from xiaoshiai_hub import snapshot_download

# 只下载 YAML 和 Markdown 文件
repo_path = snapshot_download(
    repo_id="demo/demo",
    allow_patterns=["*.yaml", "*.yml", "*.md"],
    ignore_patterns=[".git*", "*.log"],
    username="your-username",
    password="your-password",
)

上传文件

from xiaoshiai_hub import upload_file

# 上传单个文件
commit_hash = upload_file(
    path_or_fileobj="./config.yaml",
    path_in_repo="config.yaml",
    repo_id="demo/my-model",
    repo_type="models",
    commit_message="Upload config file",
    username="your-username",
    password="your-password",
)
print(f"提交哈希: {commit_hash}")

上传文件夹

from xiaoshiai_hub import upload_folder

# 上传整个文件夹
commit_hash = upload_folder(
    folder_path="./my_model",
    repo_id="demo/my-model",
    repo_type="models",
    commit_message="Upload model files",
    ignore_patterns=["*.log", ".git*"],  # 忽略这些文件
    username="your-username",
    password="your-password",
)
print(f"提交哈希: {commit_hash}")

加密上传和下载

from xiaoshiai_hub import upload_file, moha_hub_download
from xiaoshiai_hub.encryption import EncryptionAlgorithm

# 上传加密文件
commit_hash = upload_file(
    path_or_fileobj="./secret.txt",
    path_in_repo="secret.txt",
    repo_id="demo/encrypted-repo",
    encryption_key="your-32-character-secret-key",
    encryption_algorithm=EncryptionAlgorithm.AES_256_CBC,
    username="your-username",
    password="your-password",
)

# 下载并解密文件
file_path = moha_hub_download(
    repo_id="demo/encrypted-repo",
    filename="secret.txt",
    decryption_key="your-32-character-secret-key",
    decryption_algorithm=EncryptionAlgorithm.AES_256_CBC,
    username="your-username",
    password="your-password",
)

使用 HubClient API

from xiaoshiai_hub import HubClient

# 创建客户端
client = HubClient(
    username="your-username",
    password="your-password",
)

# 获取仓库信息
repo_info = client.get_repository_info("demo", "models", "my-model")
print(f"仓库名称: {repo_info.name}")
print(f"组织: {repo_info.organization}")

# 列出分支
branches = client.list_branches("demo", "models", "my-model")
for branch in branches:
    print(f"分支: {branch.name} (commit: {branch.commit_sha})")

# 浏览仓库内容
content = client.get_repository_content("demo", "models", "my-model", "main")
for entry in content.entries:
    print(f"{entry.type}: {entry.name}")

🔐 加密功能

SDK 支持多种加密算法:

对称加密

  • AES-256-CBC - 标准 AES 加密
  • AES-256-GCM - AES 加密(带认证)
  • SM4-CBC - 国密 SM4 加密
  • SM4-GCM - 国密 SM4 加密(带认证)

非对称加密

  • RSA-OAEP - RSA 加密(推荐)
  • RSA-PKCS1V15 - RSA 加密(兼容性)
  • SM2 - 国密 SM2 加密

生成加密密钥

import secrets
import string

# 生成对称加密密钥(32 字符)
symmetric_key = ''.join(secrets.choice(string.ascii_letters + string.digits) for _ in range(32))
print(f"对称密钥: {symmetric_key}")

# 生成 RSA 密钥对
from cryptography.hazmat.primitives.asymmetric import rsa
from cryptography.hazmat.primitives import serialization

private_key = rsa.generate_private_key(
    public_exponent=65537,
    key_size=2048,
)
public_key = private_key.public_key()

# 序列化公钥
public_pem = public_key.public_bytes(
    encoding=serialization.Encoding.PEM,
    format=serialization.PublicFormat.SubjectPublicKeyInfo
).decode()

# 序列化私钥
private_pem = private_key.private_bytes(
    encoding=serialization.Encoding.PEM,
    format=serialization.PrivateFormat.PKCS8,
    encryption_algorithm=serialization.NoEncryption()
).decode()

部分文件加密

from xiaoshiai_hub import upload_folder
from xiaoshiai_hub.encryption import EncryptionAlgorithm

# 上传文件夹,只加密部分文件
commit_hash = upload_folder(
    folder_path="./my_model",
    repo_id="demo/my-model",
    encryption_key="your-secret-key",
    encryption_algorithm=EncryptionAlgorithm.AES_256_CBC,
    encryption_exclude=["README.md", "*.yaml"],  # 这些文件不加密
    username="your-username",
    password="your-password",
)

⚙️ 配置

环境变量

# Hub 服务端点
export MOHA_ENDPOINT="https://your-hub-url.com/moha"

# 认证信息
export MOHA_USERNAME="your-username"
export MOHA_PASSWORD="your-password"

# 加密密钥(可选)
export ENCRYPTION_KEY="your-32-character-encryption-key"
export DECRYPTION_KEY="your-32-character-decryption-key"

使用 .env 文件

创建 .env 文件:

MOHA_ENDPOINT=https://your-hub-url.com/moha
MOHA_USERNAME=your-username
MOHA_PASSWORD=your-password
ENCRYPTION_KEY=your-encryption-key

然后在代码中加载:

from dotenv import load_dotenv
load_dotenv()

from xiaoshiai_hub import moha_hub_download

# 自动使用环境变量中的认证信息
file_path = moha_hub_download(
    repo_id="demo/demo",
    filename="config.yaml",
)

📚 示例代码

项目包含丰富的示例代码,位于 examples/ 目录:

  • 01_basic_usage.py - 基础使用示例
  • 02_download_file.py - 下载文件示例
  • 03_download_repository.py - 下载仓库示例
  • 04_upload_file.py - 上传文件示例
  • 05_upload_folder.py - 上传文件夹示例
  • 06_encryption.py - 加密功能示例
  • 07_complete_workflow.py - 完整工作流示例

运行示例:

# 设置环境变量
export MOHA_USERNAME="your-username"
export MOHA_PASSWORD="your-password"

# 运行示例
python examples/01_basic_usage.py
python examples/07_complete_workflow.py

详细说明请查看 examples/README.md

🧪 测试

运行测试:

# 安装开发依赖
pip install xiaoshiai-hub[dev]

# 运行所有测试
pytest

# 运行特定测试文件
pytest tests/test_client.py

# 运行测试并显示覆盖率
pytest --cov=xiaoshiai_hub --cov-report=html

# 运行测试(详细输出)
pytest -v

📖 API 文档

核心函数

moha_hub_download()

下载单个文件。

参数:

  • repo_id (str): 仓库 ID,格式为 "organization/repo_name"
  • filename (str): 要下载的文件名
  • repo_type (str): 仓库类型,"models" 或 "datasets",默认 "models"
  • revision (str, optional): 分支、标签或提交哈希,默认 "main"
  • local_dir (str, optional): 本地保存目录
  • username (str, optional): 用户名
  • password (str, optional): 密码
  • token (str, optional): 认证 Token
  • decryption_key (str, optional): 解密密钥
  • decryption_algorithm (str, optional): 解密算法

返回: 下载文件的本地路径

snapshot_download()

下载整个仓库。

参数:

  • repo_id (str): 仓库 ID
  • repo_type (str): 仓库类型,默认 "models"
  • revision (str, optional): 分支、标签或提交哈希,默认 "main"
  • local_dir (str, optional): 本地保存目录
  • allow_patterns (List[str], optional): 允许下载的文件模式
  • ignore_patterns (List[str], optional): 忽略的文件模式
  • username (str, optional): 用户名
  • password (str, optional): 密码
  • token (str, optional): 认证 Token
  • decryption_key (str, optional): 解密密钥
  • decryption_algorithm (str, optional): 解密算法

返回: 下载仓库的本地路径

upload_file()

上传单个文件。

参数:

  • path_or_fileobj (str | Path | bytes): 文件路径或文件对象
  • path_in_repo (str): 仓库中的文件路径
  • repo_id (str): 仓库 ID
  • repo_type (str): 仓库类型,默认 "models"
  • revision (str): 分支名称,默认 "main"
  • commit_message (str, optional): 提交信息
  • commit_description (str, optional): 提交描述
  • username (str, optional): 用户名
  • password (str, optional): 密码
  • token (str, optional): 认证 Token
  • encryption_key (str, optional): 加密密钥
  • encryption_algorithm (str, optional): 加密算法

返回: 提交哈希

upload_folder()

上传整个文件夹。

参数:

  • folder_path (str | Path): 文件夹路径
  • repo_id (str): 仓库 ID
  • repo_type (str): 仓库类型,默认 "models"
  • revision (str): 分支名称,默认 "main"
  • commit_message (str, optional): 提交信息
  • commit_description (str, optional): 提交描述
  • ignore_patterns (List[str], optional): 忽略的文件模式
  • username (str, optional): 用户名
  • password (str, optional): 密码
  • token (str, optional): 认证 Token
  • encryption_key (str, optional): 加密密钥
  • encryption_algorithm (str, optional): 加密算法
  • encryption_exclude (List[str], optional): 不加密的文件模式

返回: 提交哈希

HubClient 类

初始化

client = HubClient(
    base_url="https://hub.example.com/moha",
    username="your-username",
    password="your-password",
)

方法

  • get_repository_info(org, repo_type, repo_name) - 获取仓库信息
  • list_branches(org, repo_type, repo_name) - 列出分支
  • list_tags(org, repo_type, repo_name) - 列出标签
  • get_repository_content(org, repo_type, repo_name, branch, path) - 获取仓库内容
  • download_file(org, repo_type, repo_name, branch, file_path, local_path) - 下载文件
  • get_moha_encryption(org, repo_type, repo_name, branch) - 获取加密元数据

🔧 开发

设置开发环境

# 克隆仓库
git clone https://github.com/poxiaoyun/XiaoShi-Moha.git
cd XiaoShi-Moha/python-sdk

# 创建虚拟环境
python -m venv venv
source venv/bin/activate  # Linux/macOS
# 或
venv\Scripts\activate  # Windows

# 安装开发依赖
pip install -e .[dev]

代码格式化

# 使用 black 格式化代码
black xiaoshiai_hub tests examples

# 使用 flake8 检查代码
flake8 xiaoshiai_hub tests

# 使用 mypy 检查类型
mypy xiaoshiai_hub

构建和发布

# 构建包
python -m build

# 检查包
twine check dist/*

# 上传到 TestPyPI
twine upload --repository testpypi dist/*

# 上传到 PyPI
twine upload dist/*

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xiaoshiai_hub-0.1.2.tar.gz (47.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

xiaoshiai_hub-0.1.2-py3-none-any.whl (29.4 kB view details)

Uploaded Python 3

File details

Details for the file xiaoshiai_hub-0.1.2.tar.gz.

File metadata

  • Download URL: xiaoshiai_hub-0.1.2.tar.gz
  • Upload date:
  • Size: 47.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.1

File hashes

Hashes for xiaoshiai_hub-0.1.2.tar.gz
Algorithm Hash digest
SHA256 e932a0cf3a4839be9310b41dc91be1b46d8251fc2e1c5096e9ea0388a53b52aa
MD5 e01e7bd986e6a37584a8ba78d21977b8
BLAKE2b-256 5249765b36381e2a8fa34a86a8e444d705891f401c714322689310ce3461b395

See more details on using hashes here.

File details

Details for the file xiaoshiai_hub-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: xiaoshiai_hub-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 29.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.1

File hashes

Hashes for xiaoshiai_hub-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 43b0014f942db93910c1e58b9ba0fca4fcb0b1b9f684c318c23eb39bf5468f02
MD5 98107632aea375855fe834ae06c9e9fe
BLAKE2b-256 0fe6316b7f173fd68fac247e1fb1e7378d662bf4fb4da11a17f05984f380c8b9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page