set_channel()说明: 设置通道实例
参数:
- name: 通道名称
- channel: 通道实例
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:
if name in _channel:
raise ValueError(f'Channel {name} already exists')
_channel[name] = channel
else:
channel_deliver_passive_channel.send(('set_channel', {'name': name, 'channel_': channel}))
set_channels()说明: 设置通道实例
参数:
- channels: 通道名称
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)
get_channel() -> Channel说明: 获取通道实例
参数:
- name: 通道名称
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()
get_channels() -> dict[str, Channel]说明: 获取通道实例
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()
@channel_deliver_passive_channel.on_receive(filter_func=lambda data: data[0] == 'set_channel')on_set_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')on_get_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')on_get_channels()@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())
Channel(Generic[T])__init__(self, name: str, type_check: Optional[bool] = None)说明: 初始化通道
参数:
- name: 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
def __init__(self, name: str, type_check: Optional[bool]=None):
"""
初始化通道
Args:
name: 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._conn_send_inner, self._conn_recv_inner) = Pipe()
self._closed = False
self._on_main_receive_func_ids: list[int] = []
self._on_sub_receive_func_ids: list[int] = []
self.name: str = name
self.is_receive_loop_running = False
if type_check is None:
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
if name in _channel:
raise ValueError(f'Channel {name} already exists')
if IS_MAIN_PROCESS:
if name in _channel:
raise ValueError(f'Channel {name} already exists')
_channel[name] = self
logger.debug(f'Channel {name} initialized in main process')
else:
logger.debug(f'Channel {name} initialized in sub process, should manually set in main process')
_get_generic_type(self) -> Optional[type]说明: 获取通道传递泛型类型
返回: Optional[type]: 泛型类型
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
_validate_structure(self, data: Any, structure: type) -> bool说明: 验证数据结构
返回: bool: 是否通过验证
参数:
- data: 数据
- structure: 结构
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
send(self, data: T)说明: 发送数据，发送函数为同步函数，没有异步的必要
参数:
- data: 数据
def send(self, data: T):
"""
发送数据，发送函数为同步函数，没有异步的必要
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)
receive(self) -> T说明: 同步接收数据，会阻塞线程
def receive(self) -> T:
"""
同步接收数据，会阻塞线程
Args:
"""
if self._closed:
raise RuntimeError('Cannot receive from a closed channel_')
while True:
data = self.conn_recv.recv()
return data
async_receive(self) -> T说明: 异步接收数据，会挂起等待
async def async_receive(self) -> T:
"""
异步接收数据，会挂起等待
"""
print('等待接收数据')
loop = asyncio.get_running_loop()
data = await loop.run_in_executor(None, self.receive)
print('接收到数据')
return data
on_receive(self, filter_func: Optional[FILTER_FUNC] = None) -> Callable[[Callable[[T], Any]], Callable[[T], Any]]说明: 接收数据并执行函数
返回: 装饰器，装饰一个函数在接收到数据后执行
参数:
- filter_func: 过滤函数，为None则不过滤
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 IS_MAIN_PROCESS:
raise RuntimeError('on_receive can only be used in main process')
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):
return
elif 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_func_ids.append(_func_id)
else:
self._on_sub_receive_func_ids.append(_func_id)
_func_id += 1
return func
return decorator
_run_on_receive_funcs(self, data: Any)说明: 运行接收函数
参数:
- data: 数据
async def _run_on_receive_funcs(self, data: Any):
"""
运行接收函数
Args:
data: 数据
"""
if IS_MAIN_PROCESS:
[asyncio.create_task(_callback_funcs[func_id](data)) for func_id in self._on_main_receive_func_ids]
else:
[asyncio.create_task(_callback_funcs[func_id](data)) for func_id in self._on_sub_receive_func_ids]
start_receive_loop(self)说明: 开始接收数据 会自动判断主进程和子进程，需要在对应进程都调度一次
async def start_receive_loop(self):
"""
开始接收数据
会自动判断主进程和子进程，需要在对应进程都调度一次
"""
if len(self._on_main_receive_func_ids) == 0:
logger.warning(f'No on_receive function registered for {self.name}')
return
self.is_receive_loop_running = True
logger.debug(f'Starting receive loop for {self.name}')
while not self._closed:
data = await self.async_receive()
await self._run_on_receive_funcs(data)
SYNC_ON_RECEIVE_FUNC = Callable[[T], Any]TypeAliasASYNC_ON_RECEIVE_FUNC = Callable[[T], Coroutine[Any, Any, Any]]TypeAliasON_RECEIVE_FUNC = SYNC_ON_RECEIVE_FUNC | ASYNC_ON_RECEIVE_FUNCTypeAliasSYNC_FILTER_FUNC = Callable[[T], bool]TypeAliasASYNC_FILTER_FUNC = Callable[[T], Coroutine[Any, Any, bool]]TypeAliasFILTER_FUNC = SYNC_FILTER_FUNC | ASYNC_FILTER_FUNCTypeAlias_func_id = 0int_channel = {}dict[str, 'Channel']_callback_funcs = {}dict[int, ON_RECEIVE_FUNC]active_channel = Channel(name='active_channel')类型: Channel
说明: 子进程可用的主动和被动通道
passive_channel = Channel(name='passive_channel')Channelpublish_channel = Channel(name='publish_channel')类型: Channel[tuple[str, dict[str, Any]]]
说明: 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 = NO_DEFAULT类型: Channel[Channel[Any]]
说明: 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_passive_channel = NO_DEFAULTChannel[tuple[str, dict[str, Any]]]