app/docs/dev/api/comm/channel.md

title	order	icon	category
liteyuki.comm.channel_	1	laptop-code	API

def set_channel(name: str, channel: Channel) -> None

设置通道实例

Args:

name: 通道名称

channel: 通道实例

def set_channels(channels: dict[str, Channel]) -> None

设置通道实例

Args:

channels: 通道名称

def get_channel(name: str) -> Channel

获取通道实例

Args:

name: 通道名称

Returns:

def get_channels() -> dict[str, Channel]

获取通道实例

Returns:

def on_set_channel(data: tuple[str, dict[str, Any]]) -> None

def on_get_channel(data: tuple[str, dict[str, Any]]) -> None

def on_get_channels(data: tuple[str, dict[str, Any]]) -> None

def decorator(func: Callable[[T], Any]) -> Callable[[T], Any]

async def wrapper(data: T) -> Any

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: bool) -> None

 初始化通道

Args:

_id: 通道ID

  def send(self, data: T) -> None

 发送数据

Args:

data: 数据

  def receive(self) -> T

 接收数据

Args:

  def close(self) -> None

 关闭通道

  def on_receive(self, filter_func: Optional[FILTER_FUNC]) -> 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

var T = TypeVar('T')

var channel_deliver_active_channel = Channel(_id='channel_deliver_active_channel')

var channel_deliver_passive_channel = Channel(_id='channel_deliver_passive_channel')

var recv_chan = data[1]['recv_chan']

var recv_chan = Channel[Channel[Any]]('recv_chan')

var recv_chan = Channel[dict[str, Channel[Any]]]('recv_chan')

var data = self.conn_recv.recv()

var func = _callback_funcs[func_id]

var func = _callback_funcs[func_id]

var data = self.conn_recv.recv()

var data = self.conn_recv.recv()