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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
@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
"""
def __init__(self, _id: str, type_check: Optional[bool] = None):
"""
初始化通道
Args:
_id: 通道ID
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
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:
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:
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
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]]]
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]]):
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):
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,
"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()