mirror of
https://github.com/LiteyukiStudio/LiteyukiBot.git
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328 lines
11 KiB
Python
328 lines
11 KiB
Python
# -*- coding: utf-8 -*-
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"""
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本模块定义了一个通用的通道类，用于进程间通信
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"""
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import asyncio
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from multiprocessing import Pipe
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from typing import (
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Any,
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Callable,
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Coroutine,
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Generic,
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Optional,
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TypeAlias,
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TypeVar,
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get_args,
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)
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from liteyuki.log import logger
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from liteyuki.utils import IS_MAIN_PROCESS, is_coroutine_callable
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T = TypeVar("T")
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SYNC_ON_RECEIVE_FUNC: TypeAlias = Callable[[T], Any] # 同步接收函数
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ASYNC_ON_RECEIVE_FUNC: TypeAlias = Callable[
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[T], Coroutine[Any, Any, Any]
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] # 异步接收函数
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ON_RECEIVE_FUNC: TypeAlias = SYNC_ON_RECEIVE_FUNC | ASYNC_ON_RECEIVE_FUNC # 接收函数
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SYNC_FILTER_FUNC: TypeAlias = Callable[[T], bool] # 同步过滤函数
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ASYNC_FILTER_FUNC: TypeAlias = Callable[[T], Coroutine[Any, Any, bool]] # 异步过滤函数
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FILTER_FUNC: TypeAlias = SYNC_FILTER_FUNC | ASYNC_FILTER_FUNC # 过滤函数
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_func_id: int = 0
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_channel: dict[str, "Channel"] = {}
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_callback_funcs: dict[int, ON_RECEIVE_FUNC] = {}
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class Channel(Generic[T]):
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"""
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通道类，可以在进程间和进程内通信，双向但同时只能有一个发送者和一个接收者
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有两种接收工作方式，但是只能选择一种，主动接收和被动接收，主动接收使用 `receive` 方法，被动接收使用 `on_receive` 装饰器
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"""
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def __init__(self, name: str, type_check: Optional[bool] = None):
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"""
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初始化通道
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Args:
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name: 通道ID
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type_check: 是否开启类型检查, 若为空，则传入泛型默认开启，否则默认关闭
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"""
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self.conn_send, self.conn_recv = Pipe()
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self._conn_send_inner, self._conn_recv_inner = (
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Pipe()
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) # 内部通道，用于子进程通信
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self._closed = False
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self._on_main_receive_func_ids: list[int] = []
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self._on_sub_receive_func_ids: list[int] = []
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self.name: str = name
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self.is_receive_loop_running = False
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if type_check is None:
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# 若传入泛型则默认开启类型检查
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type_check = self._get_generic_type() is not None
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elif type_check:
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if self._get_generic_type() is None:
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raise TypeError("Type hint is required for enforcing type check.")
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self.type_check = type_check
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if name in _channel:
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raise ValueError(f"Channel {name} already exists")
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if IS_MAIN_PROCESS:
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if name in _channel:
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raise ValueError(f"Channel {name} already exists")
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_channel[name] = self
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def _get_generic_type(self) -> Optional[type]:
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"""
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获取通道传递泛型类型
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Returns:
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Optional[type]: 泛型类型
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"""
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if hasattr(self, "__orig_class__"):
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return get_args(self.__orig_class__)[0]
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return None
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def _validate_structure(self, data: Any, structure: type) -> bool:
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"""
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验证数据结构
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Args:
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data: 数据
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structure: 结构
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Returns:
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bool: 是否通过验证
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"""
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if isinstance(structure, type):
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return isinstance(data, structure)
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elif isinstance(structure, tuple):
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if not isinstance(data, tuple) or len(data) != len(structure):
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return False
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return all(self._validate_structure(d, s) for d, s in zip(data, structure))
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elif isinstance(structure, list):
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if not isinstance(data, list):
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return False
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return all(self._validate_structure(d, structure[0]) for d in data)
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elif isinstance(structure, dict):
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if not isinstance(data, dict):
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return False
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return all(
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k in data and self._validate_structure(data[k], structure[k])
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for k in structure
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)
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return False
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def __str__(self):
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return f"Channel({self.name})"
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def send(self, data: T):
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"""
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发送数据，发送函数为同步函数，没有异步的必要
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Args:
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data (T): 数据
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"""
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if self.type_check:
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_type = self._get_generic_type()
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if _type is not None and not self._validate_structure(data, _type):
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raise TypeError(
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f"Data must be an instance of {_type}, {type(data)} found"
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)
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if self._closed:
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raise RuntimeError("Cannot send to a closed channel")
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self.conn_send.send(data)
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def receive(self) -> T:
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"""
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同步接收数据，会阻塞线程
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Returns:
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T: 数据
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"""
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if self._closed:
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raise RuntimeError("Cannot receive from a closed channel")
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while True:
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data = self.conn_recv.recv()
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return data
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async def async_receive(self) -> T:
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"""
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异步接收数据，会挂起等待
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Returns:
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T: 数据
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"""
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loop = asyncio.get_running_loop()
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data = await loop.run_in_executor(None, self.receive)
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return data
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def on_receive(
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self, filter_func: Optional[FILTER_FUNC] = None
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) -> Callable[[Callable[[T], Any]], Callable[[T], Any]]:
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"""
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接收数据并执行函数
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Args:
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filter_func ([`Optional`](https%3A//docs.python.org/3/library/typing.html#typing.Optional)[[`FILTER_FUNC`](#var-FILTER_FUNC)], optional): 过滤函数. Defaults to None.
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Returns:
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Callable[[Callable[[T], Any]], Callable[[T], Any]]: 装饰器
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"""
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if not IS_MAIN_PROCESS:
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raise RuntimeError("on_receive can only be used in main process")
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def decorator(func: Callable[[T], Any]) -> Callable[[T], Any]:
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global _func_id
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async def wrapper(data: T) -> Any:
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if filter_func is not None:
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if is_coroutine_callable(filter_func):
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if not (await filter_func(data)): # type: ignore
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return
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else:
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if not filter_func(data):
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return
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if is_coroutine_callable(func):
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return await func(data)
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else:
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return func(data)
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_callback_funcs[_func_id] = wrapper
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if IS_MAIN_PROCESS:
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self._on_main_receive_func_ids.append(_func_id)
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else:
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self._on_sub_receive_func_ids.append(_func_id)
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_func_id += 1
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return func
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return decorator
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async def _run_on_receive_funcs(self, data: Any):
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"""
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运行接收函数
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Args:
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data: 数据
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"""
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if IS_MAIN_PROCESS:
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[
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asyncio.create_task(_callback_funcs[func_id](data))
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for func_id in self._on_main_receive_func_ids
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]
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else:
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[
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asyncio.create_task(_callback_funcs[func_id](data))
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for func_id in self._on_sub_receive_func_ids
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]
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"""子进程可用的主动和被动通道"""
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active_channel: Channel = Channel(name="active_channel") # 主动通道
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passive_channel: Channel = Channel(name="passive_channel") # 被动通道
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publish_channel: Channel[tuple[str, dict[str, Any]]] = Channel(
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name="publish_channel"
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) # 发布通道
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"""通道传递通道，主进程创建单例，子进程初始化时实例化"""
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channel_deliver_active_channel: Channel[Channel[Any]] # 主动通道传递通道
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channel_deliver_passive_channel: Channel[tuple[str, dict[str, Any]]] # 被动通道传递通道
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if IS_MAIN_PROCESS:
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channel_deliver_active_channel = Channel(
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name="channel_deliver_active_channel"
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) # 主动通道传递通道
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channel_deliver_passive_channel = Channel(
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name="channel_deliver_passive_channel"
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) # 被动通道传递通道
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@channel_deliver_passive_channel.on_receive(
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filter_func=lambda data: data[0] == "set_channel"
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)
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def on_set_channel(data: tuple[str, dict[str, Any]]):
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name, channel = data[1]["name"], data[1]["channel_"]
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set_channel(name, channel)
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@channel_deliver_passive_channel.on_receive(
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filter_func=lambda data: data[0] == "get_channel"
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)
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def on_get_channel(data: tuple[str, dict[str, Any]]):
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name, recv_chan = data[1]["name"], data[1]["recv_chan"]
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recv_chan.send(get_channel(name))
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@channel_deliver_passive_channel.on_receive(
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filter_func=lambda data: data[0] == "get_channels"
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)
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def on_get_channels(data: tuple[str, dict[str, Any]]):
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recv_chan = data[1]["recv_chan"]
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recv_chan.send(get_channels())
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def set_channel(name: str, channel: "Channel"):
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"""
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设置通道实例
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Args:
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name ([`str`](https%3A//docs.python.org/3/library/stdtypes.html#str)): 通道名称
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channel ([`Channel`](#class-channel-generic-t)): 通道实例
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"""
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if not isinstance(channel, Channel):
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raise TypeError(
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f"channel_ must be an instance of Channel, {type(channel)} found"
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)
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if IS_MAIN_PROCESS:
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if name in _channel:
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raise ValueError(f"Channel {name} already exists")
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_channel[name] = channel
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else:
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# 请求主进程设置通道
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channel_deliver_passive_channel.send(
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(
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"set_channel",
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{
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"name": name,
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"channel_": channel,
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},
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)
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)
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def set_channels(channels: dict[str, "Channel"]):
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"""
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设置通道实例
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Args:
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channels ([`dict`](https%3A//docs.python.org/3/library/stdtypes.html#dict)[[`str`](https%3A//docs.python.org/3/library/stdtypes.html#str), [`Channel`](#class-channel-generic-t)]): 通道实例
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"""
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for name, channel in channels.items():
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set_channel(name, channel)
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def get_channel(name: str) -> "Channel":
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"""
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获取通道实例
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Args:
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name ([`str`](https%3A//docs.python.org/3/library/stdtypes.html#str)): 通道名称
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Returns:
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[`Channel`](#class-channel-generic-t): 通道实例
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"""
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if IS_MAIN_PROCESS:
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return _channel[name]
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else:
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recv_chan = Channel[Channel[Any]]("recv_chan")
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channel_deliver_passive_channel.send(
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("get_channel", {"name": name, "recv_chan": recv_chan})
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)
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return recv_chan.receive()
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def get_channels() -> dict[str, "Channel"]:
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"""
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获取通道实例们
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Returns:
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[`dict`](https%3A//docs.python.org/3/library/stdtypes.html#dict)[[`str`](https%3A//docs.python.org/3/library/stdtypes.html#str), [`Channel`](#class-channel-generic-t)]: 通道实例
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"""
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if IS_MAIN_PROCESS:
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return _channel
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else:
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recv_chan = Channel[dict[str, Channel[Any]]]("recv_chan")
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channel_deliver_passive_channel.send(("get_channels", {"recv_chan": recv_chan}))
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return recv_chan.receive()
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