mirror of
https://github.com/langbot-app/LangBot.git
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52 lines
1.7 KiB
Python
52 lines
1.7 KiB
Python
from __future__ import annotations
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import asyncio
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from ...core import app, entities as core_entities
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from . import entities
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class SessionManager:
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ap: app.Application
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session_list: list[entities.Session]
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def __init__(self, ap: app.Application):
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self.ap = ap
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self.session_list = []
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async def initialize(self):
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pass
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async def get_session(self, query: core_entities.Query) -> entities.Session:
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"""获取会话
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"""
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for session in self.session_list:
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if query.launcher_type == session.launcher_type and query.launcher_id == session.launcher_id:
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return session
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session = entities.Session(
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launcher_type=query.launcher_type,
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launcher_id=query.launcher_id,
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semaphore=asyncio.Semaphore(1) if self.ap.cfg_mgr.data['wait_last_done'] else asyncio.Semaphore(10000),
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)
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self.session_list.append(session)
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return session
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async def get_conversation(self, session: entities.Session) -> entities.Conversation:
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if not session.conversations:
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session.conversations = []
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if session.using_conversation is None:
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conversation = entities.Conversation(
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prompt=await self.ap.prompt_mgr.get_prompt(session.use_prompt_name),
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messages=[],
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use_model=await self.ap.model_mgr.get_model_by_name(self.ap.cfg_mgr.data['completion_api_params']['model']),
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use_funcs=await self.ap.tool_mgr.get_all_functions(),
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)
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session.conversations.append(conversation)
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session.using_conversation = conversation
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return session.using_conversation
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