PytBox
一个集成了多种服务和实用工具的 Python 包,专为运维开发场景设计。包含 VictoriaMetrics、滴答清单(Dida365)、飞书等服务的集成工具,以及常用的时间处理等实用工具。
特性
- 🔍 VictoriaMetrics 集成 - 提供时序数据库查询功能
- ⏰ 时间工具 - 常用的时间戳处理工具
- 📊 统一响应格式 - 标准化的 API 响应结构
- 🛠 基础工具类 - 提供 API 基类和通用功能
- 🧪 完整测试 - 包含单元测试确保代码质量
安装
从 PyPI 安装
pip install pytbox
从源码安装
git clone https://github.com/your-username/pytbox.git
cd pytbox
pip install -e .
快速开始
VictoriaMetrics 查询
from pytbox.victoriametrics import VictoriaMetrics
# 初始化 VictoriaMetrics 客户端
vm = VictoriaMetrics(url="http://localhost:8428", timeout=5)
# 查询指标数据
result = vm.query('ping_average_response_ms')
if result.is_success():
print("查询成功:", result.data)
else:
print("查询失败:", result.msg)
时间工具使用
from pytbox.utils.timeutils import TimeUtils
# 获取当前时间戳(秒)
timestamp = TimeUtils.get_timestamp()
print(f"当前时间戳: {timestamp}")
# 获取当前时间戳(毫秒)
timestamp_ms = TimeUtils.get_timestamp(now=False)
print(f"当前时间戳(毫秒): {timestamp_ms}")
使用基础 API 类
from pytbox.common.base import BaseAPI
class MyAPI(BaseAPI):
def __init__(self):
super().__init__(base_url="https://api.example.com")
def make_request(self):
# 记录请求日志
log = self.log_request("GET", "/users", {"param": "value"})
print("请求日志:", log)
# 检查会话存活时间
age = self.get_session_age()
print(f"会话存活时间: {age} 秒")
api = MyAPI()
api.make_request()
统一响应格式
from pytbox.utils.response import ReturnResponse
# 创建成功响应
success_response = ReturnResponse(
code=0,
msg="操作成功",
data={"user_id": 123, "username": "admin"}
)
# 创建错误响应
error_response = ReturnResponse(
code=1,
msg="用户未找到",
data=None
)
# 检查响应状态
if success_response.is_success():
print("操作成功:", success_response.data)
if error_response.is_error():
print("操作失败:", error_response.msg)
设计规格(Specs)
文档
API 文档
VictoriaMetrics
VictoriaMetrics(url, timeout=3)
VictoriaMetrics 时序数据库客户端。
参数:
url(str): VictoriaMetrics 服务器地址timeout(int): 请求超时时间,默认 3 秒
方法:
query(query: str) -> ReturnResponse
执行 PromQL 查询。
参数:
query(str): PromQL 查询语句
返回:
ReturnResponse: 统一响应格式,包含查询结果
TimeUtils
TimeUtils.get_timestamp(now=True) -> int
获取时间戳。
参数:
now(bool): True 返回秒级时间戳,False 返回毫秒级时间戳
返回:
int: 时间戳
ReturnResponse
统一的响应格式类,包含以下状态码:
0- 成功 (SUCCESS)1- 一般错误 (ERROR)2- 警告 (WARNING)3- 未授权 (UNAUTHORIZED)4- 资源未找到 (NOT_FOUND)5- 请求超时 (TIMEOUT)6- 参数错误 (INVALID_PARAMS)7- 权限不足 (PERMISSION_DENIED)8- 服务不可用 (SERVICE_UNAVAILABLE)9- 数据库错误 (DATABASE_ERROR)10- 网络错误 (NETWORK_ERROR)
方法:
is_success() -> bool: 判断是否为成功响应is_error() -> bool: 判断是否为错误响应
开发
安装开发依赖
pip install -e ".[dev]"
运行测试
pytest tests/
代码格式化
black src/ tests/
代码检查
ruff check src/ tests/
环境变量
可以通过以下环境变量进行配置:
VICTORIAMETRICS_URL: VictoriaMetrics 服务器地址(默认: http://localhost:8428)
发布流程
项目使用 GitHub Actions 自动发布到 PyPI:
- 使用发布脚本创建标签(默认先预览并确认):
./publish.sh
- 如需手动指定标签(必须完整格式):
./publish.sh v0.1.1-20260212 - CI/自动化场景可跳过确认:
./publish.sh --yes - GitHub Actions 会在
v*标签推送后自动构建并发布到 PyPI
贡献
欢迎提交 Issue 和 Pull Request!
- Fork 项目
- 创建功能分支 (
git checkout -b feature/AmazingFeature) - 提交更改 (
git commit -m 'Add some AmazingFeature') - 推送到分支 (
git push origin feature/AmazingFeature) - 开启 Pull Request
许可证
本项目采用 MIT 许可证 - 查看 LICENSE 文件了解详情。
更新日志
v0.1.0
- 初始版本发布
- 添加 VictoriaMetrics 集成
- 添加时间工具类
- 添加统一响应格式
- 添加基础 API 工具类
联系方式
如有问题或建议,请通过以下方式联系:
- 提交 Issue
- 发送邮件至 houm01@foxmail.com
PytBox - 让运维开发更简单! 🚀
Metadata
Release files for pytbox 0.7.7.post20260222
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