LiteyukiBot-TriM/liteyuki/comm/storage.py

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2024-10-06 02:39:10 +08:00
# -*- coding: utf-8 -*-
"""
共享内存模块类似于redis但是更加轻量级并且线程安全
"""
import asyncio
import threading
from typing import Any, Callable, Optional
from liteyuki.comm import channel
from liteyuki.comm.channel import ASYNC_ON_RECEIVE_FUNC, Channel, ON_RECEIVE_FUNC
from liteyuki.utils import (
IS_MAIN_PROCESS,
is_coroutine_callable,
run_coroutine_in_thread,
)
if IS_MAIN_PROCESS:
_locks = {}
_on_main_subscriber_receive_funcs: dict[str, list[ASYNC_ON_RECEIVE_FUNC]] = {} # type: ignore
"""主进程订阅者接收函数"""
_on_sub_subscriber_receive_funcs: dict[str, list[ASYNC_ON_RECEIVE_FUNC]] = {} # type: ignore
"""子进程订阅者接收函数"""
def _get_lock(key) -> threading.Lock:
"""
获取锁
"""
if IS_MAIN_PROCESS:
if key not in _locks:
_locks[key] = threading.Lock()
return _locks[key]
else:
raise RuntimeError("无法在子进程中获取线程锁")
class KeyValueStore:
def __init__(self):
self._store = {}
self.active_chan = Channel[tuple[str, Optional[dict[str, Any]]]](
name="shared_memory-active"
)
self.passive_chan = Channel[tuple[str, Optional[dict[str, Any]]]](
name="shared_memory-passive"
)
self.publish_channel = Channel[tuple[str, Any]](name="shared_memory-publish")
self.is_main_receive_loop_running = False
self.is_sub_receive_loop_running = False
def set(self, key: str, value: Any) -> None:
"""
设置键值对
Args:
key:
value:
"""
if IS_MAIN_PROCESS:
lock = _get_lock(key)
with lock:
self._store[key] = value
else:
# 向主进程发送请求拿取
self.passive_chan.send(("set", {"key": key, "value": value}))
def get(self, key: str, default: Optional[Any] = None) -> Optional[Any]:
"""
获取键值对
Args:
key:
default: 默认值
Returns:
Any:
"""
if IS_MAIN_PROCESS:
lock = _get_lock(key)
with lock:
return self._store.get(key, default)
else:
recv_chan = Channel[Optional[Any]]("recv_chan")
self.passive_chan.send(
("get", {"key": key, "default": default, "recv_chan": recv_chan})
)
return recv_chan.receive()
def delete(self, key: str, ignore_key_error: bool = True) -> None:
"""
删除键值对
Args:
key:
ignore_key_error: 是否忽略键不存在的错误
Returns:
"""
if IS_MAIN_PROCESS:
lock = _get_lock(key)
with lock:
if key in self._store:
try:
del self._store[key]
del _locks[key]
except KeyError as e:
if not ignore_key_error:
raise e
else:
# 向主进程发送请求删除
self.passive_chan.send(("delete", {"key": key}))
def get_all(self) -> dict[str, Any]:
"""
获取所有键值对
Returns:
dict[str, Any]: 键值对
"""
if IS_MAIN_PROCESS:
return self._store
else:
recv_chan = Channel[dict[str, Any]]("recv_chan")
self.passive_chan.send(("get_all", {"recv_chan": recv_chan}))
return recv_chan.receive()
def publish(self, channel_: str, data: Any) -> None:
"""
发布消息
Args:
channel_: 频道
data: 数据
Returns:
"""
self.active_chan.send(("publish", {"channel": channel_, "data": data}))
def on_subscriber_receive(
self, channel_: str
) -> Callable[[ON_RECEIVE_FUNC], ON_RECEIVE_FUNC]:
"""
订阅者接收消息时的回调
Args:
channel_: 频道
Returns:
装饰器
"""
if not IS_MAIN_PROCESS:
raise RuntimeError("无法订阅一子线程消息")
def decorator(func: ON_RECEIVE_FUNC) -> ON_RECEIVE_FUNC:
async def wrapper(data: Any):
if is_coroutine_callable(func):
await func(data)
else:
func(data)
if IS_MAIN_PROCESS:
if channel_ not in _on_main_subscriber_receive_funcs:
_on_main_subscriber_receive_funcs[channel_] = []
_on_main_subscriber_receive_funcs[channel_].append(wrapper)
else:
if channel_ not in _on_sub_subscriber_receive_funcs:
_on_sub_subscriber_receive_funcs[channel_] = []
_on_sub_subscriber_receive_funcs[channel_].append(wrapper)
return wrapper
return decorator
@staticmethod
async def run_subscriber_receive_funcs(channel_: str, data: Any):
"""
运行订阅者接收函数
Args:
channel_: 频道
data: 数据
"""
[
asyncio.create_task(func(data))
for func in _on_main_subscriber_receive_funcs[channel_]
]
async def start_receive_loop(self):
"""
启动发布订阅接收器循环在主进程中运行若有子进程订阅则推送给子进程
"""
if not IS_MAIN_PROCESS:
raise RuntimeError("无法在子进程中启用订阅接收器循环")
while True:
data = await self.active_chan.async_receive()
if data[0] == "publish":
# 运行主进程订阅函数
await self.run_subscriber_receive_funcs(
data[1]["channel"], data[1]["data"]
)
# 推送给子进程
self.publish_channel.send(data)
class GlobalKeyValueStore:
_instance = None
_lock = threading.Lock()
@classmethod
def get_instance(cls):
if cls._instance is None:
with cls._lock:
if cls._instance is None:
cls._instance = KeyValueStore()
return cls._instance
shared_memory: KeyValueStore = GlobalKeyValueStore.get_instance() # 共享内存对象
# 全局单例访问点
if IS_MAIN_PROCESS:
@shared_memory.passive_chan.on_receive(lambda d: d[0] == "get")
def on_get(data: tuple[str, dict[str, Any]]):
key = data[1]["key"]
default = data[1]["default"]
recv_chan = data[1]["recv_chan"]
recv_chan.send(shared_memory.get(key, default))
@shared_memory.passive_chan.on_receive(lambda d: d[0] == "set")
def on_set(data: tuple[str, dict[str, Any]]):
key = data[1]["key"]
value = data[1]["value"]
shared_memory.set(key, value)
@shared_memory.passive_chan.on_receive(lambda d: d[0] == "delete")
def on_delete(data: tuple[str, dict[str, Any]]):
key = data[1]["key"]
shared_memory.delete(key)
@shared_memory.passive_chan.on_receive(lambda d: d[0] == "get_all")
def on_get_all(data: tuple[str, dict[str, Any]]):
recv_chan = data[1]["recv_chan"]
recv_chan.send(shared_memory.get_all())
_ref_count = 0 # import 引用计数, 防止获取空指针
if not IS_MAIN_PROCESS:
if (shared_memory is None) and _ref_count > 1:
raise RuntimeError("共享内存未初始化")
_ref_count += 1