62 lines
2.3 KiB
Python
62 lines
2.3 KiB
Python
from typing import Dict, Optional, List, Tuple
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from src.common.logger import get_logger
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from src.config.api_ada_configs import TaskConfig
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from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager
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from src.chat.replyer.default_generator import DefaultReplyer
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logger = get_logger("ReplyerManager")
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class ReplyerManager:
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def __init__(self):
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self._repliers: Dict[str, DefaultReplyer] = {}
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def get_replyer(
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self,
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chat_stream: Optional[ChatStream] = None,
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chat_id: Optional[str] = None,
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model_set_with_weight: Optional[List[Tuple[TaskConfig, float]]] = None,
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request_type: str = "replyer",
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) -> Optional[DefaultReplyer]:
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"""
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获取或创建回复器实例。
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model_configs 仅在首次为某个 chat_id/stream_id 创建实例时有效。
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后续调用将返回已缓存的实例，忽略 model_configs 参数。
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"""
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stream_id = chat_stream.stream_id if chat_stream else chat_id
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if not stream_id:
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logger.warning("[ReplyerManager] 缺少 stream_id，无法获取回复器。")
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return None
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# 如果已有缓存实例，直接返回
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if stream_id in self._repliers:
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logger.debug(f"[ReplyerManager] 为 stream_id '{stream_id}' 返回已存在的回复器实例。")
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return self._repliers[stream_id]
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# 如果没有缓存，则创建新实例（首次初始化）
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logger.debug(f"[ReplyerManager] 为 stream_id '{stream_id}' 创建新的回复器实例并缓存。")
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target_stream = chat_stream
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if not target_stream:
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if chat_manager := get_chat_manager():
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target_stream = chat_manager.get_stream(stream_id)
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if not target_stream:
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logger.warning(f"[ReplyerManager] 未找到 stream_id='{stream_id}' 的聊天流，无法创建回复器。")
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return None
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# model_configs 只在此时（初始化时）生效
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replyer = DefaultReplyer(
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chat_stream=target_stream,
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model_set_with_weight=model_set_with_weight, # 可以是None，此时使用默认模型
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request_type=request_type,
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)
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self._repliers[stream_id] = replyer
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return replyer
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# 创建一个全局实例
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replyer_manager = ReplyerManager()
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