mirror of
https://github.com/langbot-app/LangBot.git
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refactor: 移动控制器到pipeline包
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@@ -13,8 +13,8 @@ from ..config import manager as config_mgr
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from ..audit.center import v2 as center_mgr
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from ..command import cmdmgr
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from ..plugin import manager as plugin_mgr
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from . import pool, controller
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from ..pipeline import stagemgr
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from . import pool
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from ..pipeline import controller, stagemgr
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from ..utils import version as version_mgr, proxy as proxy_mgr
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@@ -10,7 +10,7 @@ from .bootutils import config
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from . import app
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from . import pool
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from . import controller
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from ..pipeline import controller
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from ..pipeline import stagemgr
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from ..audit import identifier
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from ..provider.session import sessionmgr as llm_session_mgr
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@@ -1,161 +0,0 @@
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from __future__ import annotations
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import asyncio
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import typing
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import traceback
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from . import app, entities
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from ..pipeline import entities as pipeline_entities
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from ..plugin import events
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class Controller:
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"""总控制器
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"""
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ap: app.Application
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semaphore: asyncio.Semaphore = None
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"""请求并发控制信号量"""
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def __init__(self, ap: app.Application):
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self.ap = ap
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self.semaphore = asyncio.Semaphore(self.ap.system_cfg.data['pipeline-concurrency'])
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async def consumer(self):
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"""事件处理循环
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"""
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try:
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while True:
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selected_query: entities.Query = None
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# 取请求
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async with self.ap.query_pool:
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queries: list[entities.Query] = self.ap.query_pool.queries
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for query in queries:
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session = await self.ap.sess_mgr.get_session(query)
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self.ap.logger.debug(f"Checking query {query} session {session}")
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if not session.semaphore.locked():
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selected_query = query
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await session.semaphore.acquire()
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break
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if selected_query: # 找到了
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queries.remove(selected_query)
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else: # 没找到 说明:没有请求 或者 所有query对应的session都已达到并发上限
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await self.ap.query_pool.condition.wait()
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continue
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if selected_query:
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async def _process_query(selected_query):
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async with self.semaphore: # 总并发上限
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await self.process_query(selected_query)
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async with self.ap.query_pool:
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(await self.ap.sess_mgr.get_session(selected_query)).semaphore.release()
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# 通知其他协程,有新的请求可以处理了
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self.ap.query_pool.condition.notify_all()
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asyncio.create_task(_process_query(selected_query))
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except Exception as e:
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# traceback.print_exc()
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self.ap.logger.error(f"控制器循环出错: {e}")
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self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
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async def _check_output(self, query: entities.Query, result: pipeline_entities.StageProcessResult):
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"""检查输出
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"""
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if result.user_notice:
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await self.ap.im_mgr.send(
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query.message_event,
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result.user_notice,
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query.adapter
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)
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if result.debug_notice:
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self.ap.logger.debug(result.debug_notice)
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if result.console_notice:
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self.ap.logger.info(result.console_notice)
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if result.error_notice:
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self.ap.logger.error(result.error_notice)
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async def _execute_from_stage(
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self,
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stage_index: int,
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query: entities.Query,
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):
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"""从指定阶段开始执行
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如何看懂这里为什么这么写?
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去问 GPT-4:
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Q1: 现在有一个责任链,其中有多个stage,query对象在其中传递,stage.process可能返回Result也有可能返回typing.AsyncGenerator[Result, None],
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如果返回的是生成器,需要挨个生成result,检查是否result中是否要求继续,如果要求继续就进行下一个stage。如果此次生成器产生的result处理完了,就继续生成下一个result,
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调用后续的stage,直到该生成器全部生成完。责任链中可能有多个stage会返回生成器
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Q2: 不是这样的,你可能理解有误。如果我们责任链上有这些Stage:
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A B C D E F G
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如果所有的stage都返回Result,且所有Result都要求继续,那么执行顺序是:
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A B C D E F G
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现在假设C返回的是AsyncGenerator,那么执行顺序是:
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A B C D E F G C D E F G C D E F G ...
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Q3: 但是如果不止一个stage会返回生成器呢?
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"""
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i = stage_index
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while i < len(self.ap.stage_mgr.stage_containers):
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stage_container = self.ap.stage_mgr.stage_containers[i]
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result = stage_container.inst.process(query, stage_container.inst_name)
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if isinstance(result, typing.Coroutine):
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result = await result
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if isinstance(result, pipeline_entities.StageProcessResult): # 直接返回结果
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self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {result}")
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await self._check_output(query, result)
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if result.result_type == pipeline_entities.ResultType.INTERRUPT:
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self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
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break
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elif result.result_type == pipeline_entities.ResultType.CONTINUE:
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query = result.new_query
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elif isinstance(result, typing.AsyncGenerator): # 生成器
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self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} gen")
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async for sub_result in result:
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self.ap.logger.debug(f"Stage {stage_container.inst_name} processed query {query} res {sub_result}")
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await self._check_output(query, sub_result)
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if sub_result.result_type == pipeline_entities.ResultType.INTERRUPT:
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self.ap.logger.debug(f"Stage {stage_container.inst_name} interrupted query {query}")
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break
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elif sub_result.result_type == pipeline_entities.ResultType.CONTINUE:
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query = sub_result.new_query
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await self._execute_from_stage(i + 1, query)
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break
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i += 1
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async def process_query(self, query: entities.Query):
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"""处理请求
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"""
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self.ap.logger.debug(f"Processing query {query}")
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try:
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await self._execute_from_stage(0, query)
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except Exception as e:
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self.ap.logger.error(f"处理请求时出错 query_id={query.query_id}: {e}")
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self.ap.logger.debug(f"Traceback: {traceback.format_exc()}")
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# traceback.print_exc()
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finally:
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self.ap.logger.debug(f"Query {query} processed")
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async def run(self):
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"""运行控制器
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"""
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await self.consumer()
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