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LiteyukiBot/liteyuki/comm/channel.py

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# -*- coding: utf-8 -*-
"""
Copyright (C) 2020-2024 LiteyukiStudio. All Rights Reserved
@Time : 2024/7/26 下午11:21
@Author : snowykami
@Email : snowykami@outlook.com
2024-08-19 23:47:39 +08:00
@File : channel_.py
@Software: PyCharm
本模块定义了一个通用的通道类用于进程间通信
"""
import threading
from multiprocessing import Pipe
from typing import Any, Callable, Coroutine, Generic, Optional, TypeAlias, TypeVar, get_args
from liteyuki.utils import IS_MAIN_PROCESS, is_coroutine_callable, run_coroutine
from liteyuki.log import logger
T = TypeVar("T")
SYNC_ON_RECEIVE_FUNC: TypeAlias = Callable[[T], Any]
ASYNC_ON_RECEIVE_FUNC: TypeAlias = Callable[[T], Coroutine[Any, Any, Any]]
ON_RECEIVE_FUNC: TypeAlias = SYNC_ON_RECEIVE_FUNC | ASYNC_ON_RECEIVE_FUNC
SYNC_FILTER_FUNC: TypeAlias = Callable[[T], bool]
ASYNC_FILTER_FUNC: TypeAlias = Callable[[T], Coroutine[Any, Any, bool]]
FILTER_FUNC: TypeAlias = SYNC_FILTER_FUNC | ASYNC_FILTER_FUNC
_func_id: int = 0
_channel: dict[str, "Channel"] = {}
_callback_funcs: dict[int, ON_RECEIVE_FUNC] = {}
class Channel(Generic[T]):
"""
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
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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def __init__(self, _id: str, type_check: Optional[bool] = None):
"""
初始化通道
Args:
_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
"""
self.conn_send, self.conn_recv = Pipe()
self._closed = False
self._on_main_receive_funcs: list[int] = []
self._on_sub_receive_funcs: list[int] = []
self.name: str = _id
self.is_main_receive_loop_running = False
self.is_sub_receive_loop_running = False
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if type_check is None:
# 若传入泛型则默认开启类型检查
type_check = self._get_generic_type() is not None
elif type_check:
if self._get_generic_type() is None:
raise TypeError("Type hint is required for enforcing type check.")
self.type_check = type_check
def _get_generic_type(self) -> Optional[type]:
"""
获取通道传递泛型类型
Returns:
Optional[type]: 泛型类型
"""
if hasattr(self, '__orig_class__'):
return get_args(self.__orig_class__)[0]
return None
def _validate_structure(self, data: Any, structure: type) -> bool:
"""
验证数据结构
Args:
data: 数据
structure: 结构
Returns:
bool: 是否通过验证
"""
if isinstance(structure, type):
return isinstance(data, structure)
elif isinstance(structure, tuple):
if not isinstance(data, tuple) or len(data) != len(structure):
return False
return all(self._validate_structure(d, s) for d, s in zip(data, structure))
elif isinstance(structure, list):
if not isinstance(data, list):
return False
return all(self._validate_structure(d, structure[0]) for d in data)
elif isinstance(structure, dict):
if not isinstance(data, dict):
return False
return all(k in data and self._validate_structure(data[k], structure[k]) for k in structure)
return False
def __str__(self):
return f"Channel({self.name})"
def send(self, data: T):
"""
发送数据
Args:
data: 数据
"""
if self.type_check:
_type = self._get_generic_type()
if _type is not None and not self._validate_structure(data, _type):
raise TypeError(f"Data must be an instance of {_type}, {type(data)} found")
if self._closed:
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raise RuntimeError("Cannot send to a closed channel_")
self.conn_send.send(data)
def receive(self) -> T:
"""
接收数据
Args:
"""
if self._closed:
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raise RuntimeError("Cannot receive from a closed channel_")
while True:
data = self.conn_recv.recv()
return data
def close(self):
"""
关闭通道
"""
self._closed = True
self.conn_send.close()
self.conn_recv.close()
def on_receive(self, filter_func: Optional[FILTER_FUNC] = None) -> Callable[[Callable[[T], Any]], Callable[[T], Any]]:
"""
接收数据并执行函数
Args:
filter_func: 过滤函数为None则不过滤
Returns:
装饰器装饰一个函数在接收到数据后执行
"""
if (not self.is_sub_receive_loop_running) and not IS_MAIN_PROCESS:
threading.Thread(target=self._start_sub_receive_loop, daemon=True).start()
if (not self.is_main_receive_loop_running) and IS_MAIN_PROCESS:
threading.Thread(target=self._start_main_receive_loop, daemon=True).start()
def decorator(func: Callable[[T], Any]) -> Callable[[T], Any]:
global _func_id
async def wrapper(data: T) -> Any:
if filter_func is not None:
if is_coroutine_callable(filter_func):
if not (await filter_func(data)): # type: ignore
return
else:
if not filter_func(data):
return
if is_coroutine_callable(func):
return await func(data)
else:
return func(data)
_callback_funcs[_func_id] = wrapper
if IS_MAIN_PROCESS:
self._on_main_receive_funcs.append(_func_id)
else:
self._on_sub_receive_funcs.append(_func_id)
_func_id += 1
return func
return decorator
def _run_on_main_receive_funcs(self, data: Any):
"""
运行接收函数
Args:
data: 数据
"""
for func_id in self._on_main_receive_funcs:
func = _callback_funcs[func_id]
run_coroutine(func(data))
def _run_on_sub_receive_funcs(self, data: Any):
"""
运行接收函数
Args:
data: 数据
"""
for func_id in self._on_sub_receive_funcs:
func = _callback_funcs[func_id]
run_coroutine(func(data))
def _start_main_receive_loop(self):
"""
开始接收数据
"""
self.is_main_receive_loop_running = True
while not self._closed:
data = self.conn_recv.recv()
self._run_on_main_receive_funcs(data)
def _start_sub_receive_loop(self):
"""
开始接收数据
"""
self.is_sub_receive_loop_running = True
while not self._closed:
data = self.conn_recv.recv()
self._run_on_sub_receive_funcs(data)
def __iter__(self):
return self
def __next__(self) -> Any:
return self.receive()
def __del__(self):
self.close()
logger.debug(f"Channel {self.name} deleted.")
"""子进程可用的主动和被动通道"""
active_channel: Optional["Channel"] = None
passive_channel: Optional["Channel"] = None
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publish_channel: Channel[tuple[str, dict[str, Any]]] = Channel(_id="publish_channel")
"""通道传递通道,主进程创建单例,子进程初始化时实例化"""
channel_deliver_active_channel: Channel[Channel[Any]]
channel_deliver_passive_channel: Channel[tuple[str, dict[str, Any]]]
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if IS_MAIN_PROCESS:
channel_deliver_active_channel = Channel(_id="channel_deliver_active_channel")
channel_deliver_passive_channel = Channel(_id="channel_deliver_passive_channel")
@channel_deliver_passive_channel.on_receive(filter_func=lambda data: data[0] == "set_channel")
def on_set_channel(data: tuple[str, dict[str, Any]]):
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name, channel = data[1]["name"], data[1]["channel_"]
set_channel(name, channel)
@channel_deliver_passive_channel.on_receive(filter_func=lambda data: data[0] == "get_channel")
def on_get_channel(data: tuple[str, dict[str, Any]]):
name, recv_chan = data[1]["name"], data[1]["recv_chan"]
recv_chan.send(get_channel(name))
@channel_deliver_passive_channel.on_receive(filter_func=lambda data: data[0] == "get_channels")
def on_get_channels(data: tuple[str, dict[str, Any]]):
recv_chan = data[1]["recv_chan"]
recv_chan.send(get_channels())
def set_channel(name: str, channel: Channel):
"""
设置通道实例
Args:
name: 通道名称
channel: 通道实例
"""
if not isinstance(channel, Channel):
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raise TypeError(f"channel_ must be an instance of Channel, {type(channel)} found")
if IS_MAIN_PROCESS:
_channel[name] = channel
else:
# 请求主进程设置通道
channel_deliver_passive_channel.send(
(
"set_channel", {
"name" : name,
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"channel_": channel,
}
)
)
def set_channels(channels: dict[str, Channel]):
"""
设置通道实例
Args:
channels: 通道名称
"""
for name, channel in channels.items():
set_channel(name, channel)
def get_channel(name: str) -> Channel:
"""
获取通道实例
Args:
name: 通道名称
Returns:
"""
if IS_MAIN_PROCESS:
return _channel[name]
else:
recv_chan = Channel[Channel[Any]]("recv_chan")
channel_deliver_passive_channel.send(
(
"get_channel",
{
"name" : name,
"recv_chan": recv_chan
}
)
)
return recv_chan.receive()
def get_channels() -> dict[str, Channel]:
"""
获取通道实例
Returns:
"""
if IS_MAIN_PROCESS:
return _channel
else:
recv_chan = Channel[dict[str, Channel[Any]]]("recv_chan")
channel_deliver_passive_channel.send(
(
"get_channels",
{
"recv_chan": recv_chan
}
)
)
return recv_chan.receive()