mirror of
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329 lines
10 KiB
Python
329 lines
10 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Copyright (C) 2020-2024 LiteyukiStudio. All Rights Reserved
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@Time : 2024/7/26 下午11:21
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@Author : snowykami
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@Email : snowykami@outlook.com
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@File : channel_.py
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@Software: PyCharm
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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 threading
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from multiprocessing import Pipe
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from typing import Any, Callable, Coroutine, Generic, Optional, TypeAlias, TypeVar, get_args
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from liteyuki.utils import IS_MAIN_PROCESS, is_coroutine_callable, run_coroutine
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from liteyuki.log import logger
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T = TypeVar("T")
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SYNC_ON_RECEIVE_FUNC: TypeAlias = Callable[[T], Any]
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ASYNC_ON_RECEIVE_FUNC: TypeAlias = Callable[[T], Coroutine[Any, Any, Any]]
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ON_RECEIVE_FUNC: TypeAlias = SYNC_ON_RECEIVE_FUNC | ASYNC_ON_RECEIVE_FUNC
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SYNC_FILTER_FUNC: TypeAlias = Callable[[T], bool]
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ASYNC_FILTER_FUNC: TypeAlias = Callable[[T], Coroutine[Any, Any, bool]]
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FILTER_FUNC: TypeAlias = SYNC_FILTER_FUNC | ASYNC_FILTER_FUNC
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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, _id: 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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_id: 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._closed = False
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self._on_main_receive_funcs: list[int] = []
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self._on_sub_receive_funcs: list[int] = []
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self.name: str = _id
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self.is_main_receive_loop_running = False
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self.is_sub_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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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(k in data and self._validate_structure(data[k], structure[k]) for k in structure)
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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
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Args:
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data: 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(f"Data must be an instance of {_type}, {type(data)} found")
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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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接收数据
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Args:
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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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def close(self):
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"""
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关闭通道
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"""
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self._closed = True
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self.conn_send.close()
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self.conn_recv.close()
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def on_receive(self, filter_func: Optional[FILTER_FUNC] = None) -> 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: 过滤函数，为None则不过滤
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Returns:
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装饰器，装饰一个函数在接收到数据后执行
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"""
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if (not self.is_sub_receive_loop_running) and not IS_MAIN_PROCESS:
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threading.Thread(target=self._start_sub_receive_loop, daemon=True).start()
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if (not self.is_main_receive_loop_running) and IS_MAIN_PROCESS:
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threading.Thread(target=self._start_main_receive_loop, daemon=True).start()
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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_funcs.append(_func_id)
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else:
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self._on_sub_receive_funcs.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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def _run_on_main_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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for func_id in self._on_main_receive_funcs:
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func = _callback_funcs[func_id]
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run_coroutine(func(data))
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def _run_on_sub_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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for func_id in self._on_sub_receive_funcs:
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func = _callback_funcs[func_id]
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run_coroutine(func(data))
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def _start_main_receive_loop(self):
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"""
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开始接收数据
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"""
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self.is_main_receive_loop_running = True
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while not self._closed:
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data = self.conn_recv.recv()
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self._run_on_main_receive_funcs(data)
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def _start_sub_receive_loop(self):
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"""
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开始接收数据
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"""
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self.is_sub_receive_loop_running = True
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while not self._closed:
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data = self.conn_recv.recv()
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self._run_on_sub_receive_funcs(data)
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"""子进程可用的主动和被动通道"""
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active_channel: Optional["Channel"] = None
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passive_channel: Optional["Channel"] = None
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publish_channel: Channel[tuple[str, dict[str, Any]]] = Channel(_id="publish_channel")
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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]]
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channel_deliver_passive_channel: Channel[tuple[str, dict[str, Any]]]
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if IS_MAIN_PROCESS:
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channel_deliver_active_channel = Channel(_id="channel_deliver_active_channel")
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channel_deliver_passive_channel = Channel(_id="channel_deliver_passive_channel")
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@channel_deliver_passive_channel.on_receive(filter_func=lambda data: data[0] == "set_channel")
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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(filter_func=lambda data: data[0] == "get_channel")
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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(filter_func=lambda data: data[0] == "get_channels")
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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: 通道名称
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channel: 通道实例
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"""
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if not isinstance(channel, Channel):
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raise TypeError(f"channel_ must be an instance of Channel, {type(channel)} found")
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if IS_MAIN_PROCESS:
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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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"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: 通道名称
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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: 通道名称
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Returns:
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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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(
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"get_channel",
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{
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"name" : name,
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"recv_chan": recv_chan
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}
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)
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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
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Returns:
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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(
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(
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"get_channels",
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{
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"recv_chan": recv_chan
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}
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)
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)
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return recv_chan.receive()
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