mirror of
https://github.com/RockChinQ/QChatGPT.git
synced 2024-11-16 03:32:33 +08:00
feat: 限速算法的扩展性
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commit
13393b6624
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@ -1,11 +1,26 @@
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from __future__ import annotations
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import abc
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import typing
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from ...core import app
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preregistered_algos: list[typing.Type[ReteLimitAlgo]] = []
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def algo_class(name: str):
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def decorator(cls: typing.Type[ReteLimitAlgo]) -> typing.Type[ReteLimitAlgo]:
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cls.name = name
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preregistered_algos.append(cls)
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return cls
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return decorator
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class ReteLimitAlgo(metaclass=abc.ABCMeta):
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name: str = None
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ap: app.Application
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def __init__(self, ap: app.Application):
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@ -19,6 +19,7 @@ class SessionContainer:
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self.records = {}
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@algo.algo_class("fixwin")
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class FixedWindowAlgo(algo.ReteLimitAlgo):
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containers_lock: asyncio.Lock
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@ -16,7 +16,19 @@ class RateLimit(stage.PipelineStage):
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algo: algo.ReteLimitAlgo
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async def initialize(self):
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self.algo = fixedwin.FixedWindowAlgo(self.ap)
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algo_name = self.ap.pipeline_cfg.data['rate-limit']['algo']
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algo_class = None
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for algo_cls in algo.preregistered_algos:
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if algo_cls.name == algo_name:
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algo_class = algo_cls
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break
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else:
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raise ValueError(f'未知的限速算法: {algo_name}')
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self.algo = algo_class(self.ap)
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await self.algo.initialize()
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async def process(
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@ -22,14 +22,16 @@ class PromptManager:
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mode_name = self.ap.provider_cfg.data['prompt-mode']
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loader_class = None
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for loader_cls in loader.preregistered_loaders:
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if loader_cls.name == mode_name:
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loader_cls = loader_cls
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loader_class = loader_cls
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break
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else:
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raise ValueError(f'未知的 Prompt 加载器: {mode_name}')
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self.loader_inst: loader.PromptLoader = loader_cls(self.ap)
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self.loader_inst: loader.PromptLoader = loader_class(self.ap)
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await self.loader_inst.initialize()
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await self.loader_inst.load()
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