ME Frp 5.0 Official Python SDK
Project description
ME Frp Python SDK
ME Frp 5.0 的官方 Python SDK,支持同步和异步两种调用模式。
安装
推荐使用 uv 进行安装和管理。
仅同步支持 (requests)
uv add MEFrpLib --optional sync
# 或者使用 pip
pip install MEFrpLib[sync]
仅异步支持 (aiohttp)
uv add MEFrpLib --optional async
# 或者使用 pip
pip install MEFrpLib[async]
全部安装
uv add MEFrpLib --optional all
# 或者使用 pip
pip install MEFrpLib[sync,async]
快速开始
同步模式
from MEFrpLib import MEFrpClient
# 初始化客户端
client = MEFrpClient()
# 登录
client.login("username", "password", "captcha_token")
# 获取用户信息
user_info = client.get_user_info()
print(f"欢迎回来, {user_info.username}! 剩余流量: {user_info.traffic} MB")
# 获取隧道列表
proxies_resp = client.get_proxy_list()
for proxy in proxies_resp.proxies:
print(f"隧道: {proxy.proxyName} -> {proxy.domain}:{proxy.remotePort}")
异步模式
import asyncio
from MEFrpLib import AsyncMEFrpClient
async def main():
# 使用上下文管理器自动管理 session
async with AsyncMEFrpClient() as client:
# 登录
await client.login("username", "password", "captcha_token")
# 获取用户信息
user_info = await client.get_user_info()
print(f"用户: {user_info.username}")
# 获取节点列表
nodes = await client.get_node_list()
for node in nodes:
print(f"节点: {node.name} ({node.region})")
if __name__ == "__main__":
asyncio.run(main())
异常处理
SDK 定义了以下异常:
MEFrpError: 所有 SDK 异常的基类APIError: 当 API 返回非 200 状态码或业务错误时抛出AuthError: 身份验证失败(如 Token 无效)时抛出NetworkError: 网络请求失败或超时时抛出
from MEFrpLib import MEFrpClient, APIError
client = MEFrpClient(token="your_token")
try:
info = client.get_user_info()
except APIError as e:
print(f"API 错误: {e.message} (代码: {e.code})")
开发指南
如果您想参与开发、构建或对代码进行格式化,请确保已安装 uv。
初始化环境
# 克隆仓库后
uv sync --all-extras
代码检查与格式化
# 检查并自动修复
uvx ruff check . --fix
# 格式化代码
uvx ruff format .
构建与发布
项目使用 uv 进行构建和发布。
-
构建分发包:
uv build构建完成后,
dist/目录下会生成.tar.gz(sdist) 和.whl(wheel) 文件。 -
发布到 PyPI(需要权限):
uv publish
提示:GitHub Actions 已配置为在发布新 Release 时自动使用
uv构建并发布到 PyPI。
开源协议
AGPL v3
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