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一个现代的事件系统

Project description

EventGraph

EventGraph 是一个现代的事件系统,旨在为 Python 应用提供高效、灵活的事件处理机制。

特性

  • 类型安全:利用 Python 的类型提示来确保事件处理的安全性。
  • 异步支持:原生支持异步事件处理。
  • 易于扩展:面向接口编程,易于扩展新的事件处理器。
  • 上下文切换:支持上下文切换,方便在事件处理中传递数据。
  • 消息队列:支持消息队列,意味着可以跨进程、跨机器进行事件处理。

快速开始

安装

使用 pip 安装 EventGraph:

pip install eventgraph>=0.1.0rc6

基本用法

  1. 初始化事件图:
import asyncio
from eventgraph.core.core import EventGraph, init_event_graph
from eventgraph.dispatcher.base import Dispatcher

from eventgraph.exceptions import NoCatchArgs

g = init_event_graph(int)
  1. 定义事件处理函数:
class Ts(int): ...

@g.receiver(int)
async def test1(a: int, b: str, c=1):
    print(locals(), "test1")


@g.receiver(Ts)
async def test2(a: Ts, b: str, c=1, d: Optional[EventGraph] = None):
    print(locals(), "test2")
  1. 定义参数处理器:
class IntDispatcher(Dispatcher[EventGraph[int], int]):
    @classmethod
    async def catch(cls, interface):
        if interface.annotation == str:
            return "string"
        raise NoCatchArgs

g.add_dispatcher(int, IntDispatcher)
  1. 发布和执行事件:
async def mian():
    g.start()
    g.postEvent(1) # 发布事件
    g.postEvent(Ts(2))
    await g.execute(Ts(1)) # 直接执行事件
    await asyncio.sleep(1)

asyncio.run(mian())

init_event_graph(type_var) 如果 type_var 相同,返回的 EventGraph 实例天然具有同类型的所有 事件处理器参数处理器

鸣谢

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