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12 KiB
12 KiB
title |
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liteyuki.comm.channel |
func set_channel()
说明: 设置通道实例
参数:
- name: 通道名称
- channel: 通道实例
源代码
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:
channel_deliver_passive_channel.send(('set_channel', {'name': name, 'channel_': channel}))
func set_channels()
说明: 设置通道实例
参数:
- channels: 通道名称
源代码
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)
func get_channel() -> Channel
说明: 获取通道实例
参数:
- name: 通道名称
源代码
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()
func get_channels() -> dict[str, Channel]
说明: 获取通道实例
源代码
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')
func on_set_channel()
源代码
@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')
func on_get_channel()
源代码
@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')
func on_get_channels()
源代码
@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())
class Channel(Generic[T])
method __init__(self, _id: str = '', type_check: Optional[bool] = None)
说明: 初始化通道
参数:
- _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
源代码
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:
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
method _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
源代码
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
method _validate_structure(self, data: Any, structure: type) -> bool
说明: 验证数据结构
参数:
- data: 数据
- structure: 结构
返回: bool: 是否通过验证
源代码
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
method send(self, data: T)
说明: 发送数据
参数:
- data: 数据
源代码
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)
method receive(self) -> T
说明: 接收数据
源代码
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
method close(self)
说明: 关闭通道
源代码
def close(self):
"""
关闭通道
"""
self._closed = True
self.conn_send.close()
self.conn_recv.close()
method 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
参数:
- filter_func: 过滤函数,为None则不过滤
返回: 装饰器,装饰一个函数在接收到数据后执行
源代码
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):
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_funcs.append(_func_id)
else:
self._on_sub_receive_funcs.append(_func_id)
_func_id += 1
return func
return decorator
method _run_on_main_receive_funcs(self, data: Any)
说明: 运行接收函数
参数:
- data: 数据
源代码
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))
method _run_on_sub_receive_funcs(self, data: Any)
说明: 运行接收函数
参数:
- data: 数据
源代码
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))
method _start_main_receive_loop(self)
说明: 开始接收数据
源代码
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)
method _start_sub_receive_loop(self)
说明: 开始接收数据
源代码
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)
var SYNC_ON_RECEIVE_FUNC = Callable[[T], Any]
- 类型:
TypeAlias
var ASYNC_ON_RECEIVE_FUNC = Callable[[T], Coroutine[Any, Any, Any]]
- 类型:
TypeAlias
var ON_RECEIVE_FUNC = SYNC_ON_RECEIVE_FUNC | ASYNC_ON_RECEIVE_FUNC
- 类型:
TypeAlias
var SYNC_FILTER_FUNC = Callable[[T], bool]
- 类型:
TypeAlias
var ASYNC_FILTER_FUNC = Callable[[T], Coroutine[Any, Any, bool]]
- 类型:
TypeAlias
var FILTER_FUNC = SYNC_FILTER_FUNC | ASYNC_FILTER_FUNC
- 类型:
TypeAlias
var _func_id = 0
- 类型:
int
var _channel = {}
- 类型:
dict[str, 'Channel']
var _callback_funcs = {}
- 类型:
dict[int, ON_RECEIVE_FUNC]
var active_channel = None
-
类型:
Optional['Channel']
-
说明: 子进程可用的主动和被动通道
var passive_channel = None
- 类型:
Optional['Channel']
var publish_channel = Channel(_id='publish_channel')
- 类型:
Channel[tuple[str, dict[str, Any]]]
var 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
var channel_deliver_passive_channel = NO_DEFAULT
- 类型:
Channel[tuple[str, dict[str, Any]]]