一个简单可扩展的异步消息通知库
Project description
一个简单可扩展的异步消息通知库
安装
pip install use-notify
使用
from use_notify import useNotify, useNotifyChannel
notify = useNotify()
notify.add(
# 添加多个通知渠道
useNotifyChannel.Bark({"token": "xxxxxx"}),
useNotifyChannel.Ding({
"token": "xxxxx",
"at_all": True
})
)
notify.publish(title="消息标题", content="消息正文")
动态凭据
token 等凭据字段可以传入字符串,也可以传入无参数函数。发送时会解析函数返回值,适合把刷新、缓存逻辑放在业务侧:
useNotifyChannel.Bark({"token": lambda: get_current_bark_token()})
库只负责发送前读取当前凭据,不内置各平台 OAuth 或后台刷新线程。
装饰器使用(推荐)
使用 @notify 装饰器可以自动为函数执行发送通知:
from use_notify import useNotify, useNotifyChannel, notify, set_default_notify_instance
# 创建并设置当前执行上下文的默认通知实例
default_notify = useNotify()
default_notify.add(
useNotifyChannel.Bark({"token": "your_bark_token"}),
useNotifyChannel.Ding({"token": "your_ding_token"})
)
set_default_notify_instance(default_notify)
# 现在可以直接使用装饰器,无需传递 notify_instance
@notify()
def data_processing():
# 数据处理逻辑
return "数据处理完成"
@notify(title="重要任务")
def important_task():
# 重要任务逻辑
return "重要任务完成"
@notify(notify_on_error=True, notify_on_success=False)
def risky_operation():
# 只在出错时通知
if some_condition:
raise Exception("操作失败")
return "操作成功"
# 异步函数支持
@notify()
async def async_task():
await some_async_operation()
return "异步任务完成"
装饰器特性:
- ✅ 自动发送成功/失败通知
- ✅ 支持同步和异步函数
- ✅ 可配置通知条件和自定义消息
- ✅ 默认实例机制,简化使用
- ✅ 执行上下文信息收集
📖 详细文档: 装饰器完整使用指南
支持的消息通知渠道列表
- Wechat(企微)
- Ding(钉钉)
- Bark
- Chanify
- PushDeer
- PushOver
- FeiShu(飞书)
- Ntfy
自己开发消息通知
from use_notify import useNotifyChannel
class Custom(useNotifyChannel.BaseChannel):
"""自定义消息通知"""
def send(self, content, title=None):
...
async def send_async(self, content, title=None):
...
更多示例
文档
- 装饰器完整使用指南 - 详细的装饰器功能说明和最佳实践
Agent Skill
- Installable skill package:
SKILL.md+skill-references/ - Purpose: help AI coding agents generate correct
use-notifyintegration snippets, choose channels, and troubleshoot retry/error behavior
特性
- 🚀 简单易用: 几行代码即可集成多种通知渠道
- 🔄 异步支持: 完整的异步/同步双模式支持
- 🎯 装饰器模式: 使用
@notify装饰器自动化通知 - 🔧 高度可扩展: 轻松添加自定义通知渠道
- 📱 多渠道支持: 支持微信、钉钉、Bark、邮件等多种通知方式
- ⚙️ 灵活配置: 支持条件通知、自定义模板、默认实例、超时与重试等高级功能
Project details
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