refactor(chat): 重构SmartPrompt系统简化架构并移除缓存机制
- 简化SmartPromptParameters类结构，移除复杂的分层参数架构 - 统一错误处理和降级机制，增强系统稳定性 - 移除缓存相关功能，简化架构并减少复杂性 - 完全继承DefaultReplyer功能，确保功能完整性 - 优化性能和依赖管理，改进并发任务处理 - 增强跨群上下文、关系信息、记忆系统等功能的错误处理 - 统一视频分析结果注入逻辑，避免重复代码
This commit is contained in:
Windpicker-owo
@@ -1,3 +1,8 @@
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"""
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默认回复生成器 - 集成SmartPrompt系统
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使用重构后的SmartPrompt系统替换原有的复杂提示词构建逻辑
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移除缓存机制，简化架构
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"""
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import traceback
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import time
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import asyncio
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@@ -16,7 +21,7 @@ from src.llm_models.utils_model import LLMRequest
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from src.chat.message_receive.message import UserInfo, Seg, MessageRecv, MessageSending
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from src.chat.message_receive.chat_stream import ChatStream, get_chat_manager
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from src.chat.message_receive.uni_message_sender import HeartFCSender
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from src.chat.utils.timer_calculator import Timer # <--- Import Timer
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from src.chat.utils.timer_calculator import Timer
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from src.chat.utils.utils import get_chat_type_and_target_info
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from src.chat.utils.prompt_builder import Prompt, global_prompt_manager
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from src.chat.utils.chat_message_builder import (
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@@ -241,88 +246,6 @@ class DefaultReplyer:
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self.tool_executor = ToolExecutor(chat_id=self.chat_stream.stream_id)
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async def _build_cross_context_block(self, current_chat_id: str, target_user_info: Optional[Dict[str, Any]]) -> str:
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"""构建跨群聊上下文"""
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if not global_config.cross_context.enable:
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return ""
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# 找到当前群聊所在的共享组
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target_group = None
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current_stream = get_chat_manager().get_stream(current_chat_id)
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if not current_stream or not current_stream.group_info:
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return ""
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current_chat_raw_id = current_stream.group_info.group_id
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for group in global_config.cross_context.groups:
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if str(current_chat_raw_id) in group.chat_ids:
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target_group = group
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break
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if not target_group:
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return ""
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# 根据prompt_mode选择策略
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prompt_mode = global_config.personality.prompt_mode
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other_chat_raw_ids = [chat_id for chat_id in target_group.chat_ids if chat_id != str(current_chat_raw_id)]
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cross_context_messages = []
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if prompt_mode == "normal":
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# normal模式：获取其他群聊的最近N条消息
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for chat_raw_id in other_chat_raw_ids:
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stream_id = get_chat_manager().get_stream_id(current_stream.platform, chat_raw_id, is_group=True)
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if not stream_id:
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continue
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messages = get_raw_msg_before_timestamp_with_chat(
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chat_id=stream_id,
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timestamp=time.time(),
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limit=5, # 可配置
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)
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if messages:
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chat_name = get_chat_manager().get_stream_name(stream_id) or stream_id
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formatted_messages, _ = build_readable_messages_with_id(messages, timestamp_mode="relative")
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cross_context_messages.append(f"[以下是来自“{chat_name}”的近期消息]\n{formatted_messages}")
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elif prompt_mode == "s4u":
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# s4u模式：获取当前发言用户在其他群聊的消息
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if target_user_info:
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user_id = target_user_info.get("user_id")
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if user_id:
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for chat_raw_id in other_chat_raw_ids:
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stream_id = get_chat_manager().get_stream_id(
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current_stream.platform, chat_raw_id, is_group=True
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)
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if not stream_id:
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continue
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messages = get_raw_msg_before_timestamp_with_chat(
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chat_id=stream_id,
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timestamp=time.time(),
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limit=20, # 获取更多消息以供筛选
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)
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user_messages = [msg for msg in messages if msg.get("user_id") == user_id][
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-5:
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] # 筛选并取最近5条
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if user_messages:
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chat_name = get_chat_manager().get_stream_name(stream_id) or stream_id
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user_name = (
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target_user_info.get("person_name") or target_user_info.get("user_nickname") or user_id
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)
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formatted_messages, _ = build_readable_messages_with_id(
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user_messages, timestamp_mode="relative"
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)
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cross_context_messages.append(
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f"[以下是“{user_name}”在“{chat_name}”的近期发言]\n{formatted_messages}"
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)
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if not cross_context_messages:
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return ""
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return "# 跨群上下文参考\n" + "\n\n".join(cross_context_messages) + "\n"
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def _select_weighted_models_config(self) -> Tuple[TaskConfig, float]:
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"""使用加权随机选择来挑选一个模型配置"""
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configs = self.model_set
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@@ -463,26 +386,6 @@ class DefaultReplyer:
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traceback.print_exc()
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return False, None, prompt if return_prompt else None
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async def build_relation_info(self, reply_to: str = ""):
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if not global_config.relationship.enable_relationship:
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return ""
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relationship_fetcher = relationship_fetcher_manager.get_fetcher(self.chat_stream.stream_id)
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if not reply_to:
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return ""
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sender, text = self._parse_reply_target(reply_to)
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if not sender or not text:
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return ""
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# 获取用户ID
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person_info_manager = get_person_info_manager()
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person_id = person_info_manager.get_person_id_by_person_name(sender)
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if not person_id:
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logger.warning(f"未找到用户 {sender} 的ID，跳过信息提取")
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return f"你完全不认识{sender}，不理解ta的相关信息。"
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return await relationship_fetcher.build_relation_info(person_id, points_num=5)
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async def build_expression_habits(self, chat_history: str, target: str) -> str:
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"""构建表达习惯块
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@@ -538,7 +441,7 @@ class DefaultReplyer:
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expression_habits_block += f"{grammar_habits_str}\n"
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if style_habits_str.strip() and grammar_habits_str.strip():
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expression_habits_title = "你可以参考以下的语言习惯和句法，如果情景合适就使用，不要盲目使用,不要生硬使用，以合理的方式结合到你的回复中："
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expression_habits_title = "你可以参考以下的语言习惯和句法，如果情景合适就使用，不要盲目使用,不要生硬使用，以合理的方式结合到你的回复中。"
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return f"{expression_habits_title}\n{expression_habits_block}"
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@@ -880,7 +783,7 @@ class DefaultReplyer:
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enable_tool: bool = True,
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) -> str: # sourcery skip: merge-else-if-into-elif, remove-redundant-if
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"""
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构建回复器上下文
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构建回复器上下文 - 使用重构后的SmartPrompt系统，移除缓存机制
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Args:
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reply_to: 回复对象，格式为 "发送者:消息内容"
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@@ -967,7 +870,7 @@ class DefaultReplyer:
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),
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self._time_and_run_task(self.get_prompt_info(chat_talking_prompt_short, reply_to), "prompt_info"),
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self._time_and_run_task(
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PromptUtils.build_cross_context_block(chat_id, target_user_info, current_prompt_mode), "cross_context"
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PromptUtils.build_cross_context(chat_id, target_user_info, global_config.personality.prompt_mode), "cross_context"
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),
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)
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@@ -998,11 +901,6 @@ class DefaultReplyer:
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prompt_info = results_dict["prompt_info"]
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cross_context_block = results_dict["cross_context"]
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# 检查是否为视频分析结果，并注入引导语
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if target and ("[视频内容]" in target or "好的，我将根据您提供的" in target):
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video_prompt_injection = "\n请注意，以上内容是你刚刚观看的视频，请以第一人称分享你的观后感，而不是在分析一份报告。"
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memory_block += video_prompt_injection
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# 检查是否为视频分析结果，并注入引导语
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if target and ("[视频内容]" in target or "好的，我将根据您提供的" in target):
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video_prompt_injection = "\n请注意，以上内容是你刚刚观看的视频，请以第一人称分享你的观后感，而不是在分析一份报告。"
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@@ -1052,6 +950,7 @@ class DefaultReplyer:
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# 根据配置选择模板
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current_prompt_mode = global_config.personality.prompt_mode
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# 使用重构后的SmartPrompt系统，移除缓存相关参数
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prompt_params = SmartPromptParameters(
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chat_id=chat_id,
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is_group_chat=is_group_chat,
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@@ -1062,17 +961,17 @@ class DefaultReplyer:
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available_actions=available_actions,
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enable_tool=enable_tool,
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chat_target_info=self.chat_target_info,
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current_prompt_mode=current_prompt_mode,
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prompt_mode=current_prompt_mode,
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message_list_before_now_long=message_list_before_now_long,
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message_list_before_short=message_list_before_short,
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chat_talking_prompt_short=chat_talking_prompt_short,
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target_user_info=target_user_info,
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# 传递已构建的参数
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expression_habits_block=expression_habits_block,
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relation_info=relation_info,
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relation_info_block=relation_info,
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memory_block=memory_block,
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tool_info=tool_info,
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prompt_info=prompt_info,
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tool_info_block=tool_info,
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knowledge_prompt=prompt_info,
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cross_context_block=cross_context_block,
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keywords_reaction_prompt=keywords_reaction_prompt,
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extra_info_block=extra_info_block,
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@@ -1186,7 +1085,7 @@ class DefaultReplyer:
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template_name = "default_expressor_prompt"
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# 使用重构后的SmartPrompt系统 - Expressor模式
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# 使用重构后的SmartPrompt系统 - Expressor模式，移除缓存相关参数
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prompt_params = SmartPromptParameters(
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chat_id=chat_id,
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is_group_chat=is_group_chat,
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@@ -1194,7 +1093,7 @@ class DefaultReplyer:
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target=raw_reply, # Expressor模式使用raw_reply作为target
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reply_to=f"{sender}:{target}" if sender and target else reply_to,
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extra_info="", # Expressor模式不需要额外信息
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current_prompt_mode="minimal", # Expressor使用minimal模式
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prompt_mode="minimal", # Expressor使用minimal模式
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chat_talking_prompt_short=chat_talking_prompt_half,
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time_block=time_block,
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identity_block=identity_block,
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@@ -1204,7 +1103,7 @@ class DefaultReplyer:
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moderation_prompt_block=moderation_prompt_block,
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# 添加已构建的表达习惯和关系信息
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expression_habits_block=expression_habits_block,
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relation_info=relation_info,
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relation_info_block=relation_info,
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)
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smart_prompt = SmartPrompt(parameters=prompt_params)
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@@ -1322,6 +1221,26 @@ class DefaultReplyer:
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logger.error(f"获取知识库内容时发生异常: {str(e)}")
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return ""
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async def build_relation_info(self, reply_to: str = ""):
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if not global_config.relationship.enable_relationship:
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return ""
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relationship_fetcher = relationship_fetcher_manager.get_fetcher(self.chat_stream.stream_id)
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if not reply_to:
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return ""
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sender, text = self._parse_reply_target(reply_to)
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if not sender or not text:
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return ""
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# 获取用户ID
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person_info_manager = get_person_info_manager()
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person_id = person_info_manager.get_person_id_by_person_name(sender)
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if not person_id:
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logger.warning(f"未找到用户 {sender} 的ID，跳过信息提取")
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return f"你完全不认识{sender}，不理解ta的相关信息。"
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return await relationship_fetcher.build_relation_info(person_id, points_num=5)
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def weighted_sample_no_replacement(items, weights, k) -> list:
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"""
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@@ -1,56 +1,37 @@
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"""
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智能提示词参数模块 - 优化参数结构
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将SmartPromptParameters拆分为多个专用参数类
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简化SmartPromptParameters，减少冗余和重复
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"""
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from dataclasses import dataclass, field
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from typing import Dict, Any, Optional, List, Literal
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@dataclass
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class PromptCoreParams:
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"""核心参数类 - 包含构建提示词的基本参数"""
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class SmartPromptParameters:
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"""简化的智能提示词参数系统"""
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# 基础参数
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chat_id: str = ""
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is_group_chat: bool = False
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sender: str = ""
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target: str = ""
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reply_to: str = ""
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extra_info: str = ""
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current_prompt_mode: Literal["s4u", "normal", "minimal"] = "s4u"
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prompt_mode: Literal["s4u", "normal", "minimal"] = "s4u"
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def validate(self) -> List[str]:
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"""验证核心参数"""
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errors = []
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if not isinstance(self.chat_id, str):
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errors.append("chat_id必须是字符串类型")
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if not isinstance(self.reply_to, str):
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errors.append("reply_to必须是字符串类型")
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if self.current_prompt_mode not in ["s4u", "normal", "minimal"]:
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errors.append("current_prompt_mode必须是's4u'、'normal'或'minimal'")
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return errors
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@dataclass
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class PromptFeatureParams:
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"""功能参数类 - 控制各种功能的开关"""
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# 功能开关
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enable_tool: bool = True
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enable_memory: bool = True
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enable_expression: bool = True
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enable_relation: bool = True
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enable_cross_context: bool = True
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enable_knowledge: bool = True
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enable_cache: bool = True
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# 性能和缓存控制
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cache_ttl: int = 300
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# 性能控制
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max_context_messages: int = 50
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# 调试选项
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debug_mode: bool = False
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@dataclass
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class PromptContentParams:
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"""内容参数类 - 包含已构建的内容块"""
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# 聊天历史和上下文
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chat_target_info: Optional[Dict[str, Any]] = None
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message_list_before_now_long: List[Dict[str, Any]] = field(default_factory=list)
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@@ -60,10 +41,10 @@ class PromptContentParams:
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# 已构建的内容块
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expression_habits_block: str = ""
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relation_info: str = ""
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relation_info_block: str = ""
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memory_block: str = ""
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tool_info: str = ""
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prompt_info: str = ""
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tool_info_block: str = ""
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knowledge_prompt: str = ""
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cross_context_block: str = ""
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# 其他内容块
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@@ -77,203 +58,37 @@ class PromptContentParams:
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mood_prompt: str = ""
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action_descriptions: str = ""
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def has_prebuilt_content(self) -> bool:
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"""检查是否有预构建的内容"""
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return any([
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self.expression_habits_block,
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self.relation_info,
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self.memory_block,
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self.tool_info,
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self.prompt_info,
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self.cross_context_block
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])
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@dataclass
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class SmartPromptParameters:
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"""
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智能提示词参数系统 - 重构版本
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组合多个专用参数类，提供统一的接口
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"""
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# 核心参数
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core: PromptCoreParams = field(default_factory=PromptCoreParams)
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# 功能参数
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features: PromptFeatureParams = field(default_factory=PromptFeatureParams)
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# 内容参数
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content: PromptContentParams = field(default_factory=PromptContentParams)
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# 兼容性属性 - 提供与旧代码的兼容性
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@property
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def chat_id(self) -> str:
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return self.core.chat_id
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@chat_id.setter
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def chat_id(self, value: str):
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self.core.chat_id = value
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@property
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def is_group_chat(self) -> bool:
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return self.core.is_group_chat
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@is_group_chat.setter
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def is_group_chat(self, value: bool):
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self.core.is_group_chat = value
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@property
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def sender(self) -> str:
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return self.core.sender
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@sender.setter
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def sender(self, value: str):
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self.core.sender = value
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@property
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def target(self) -> str:
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return self.core.target
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@target.setter
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def target(self, value: str):
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self.core.target = value
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@property
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def reply_to(self) -> str:
|
||||
return self.core.reply_to
|
||||
|
||||
@reply_to.setter
|
||||
def reply_to(self, value: str):
|
||||
self.core.reply_to = value
|
||||
|
||||
@property
|
||||
def extra_info(self) -> str:
|
||||
return self.core.extra_info
|
||||
|
||||
@extra_info.setter
|
||||
def extra_info(self, value: str):
|
||||
self.core.extra_info = value
|
||||
|
||||
@property
|
||||
def current_prompt_mode(self) -> str:
|
||||
return self.core.current_prompt_mode
|
||||
|
||||
@current_prompt_mode.setter
|
||||
def current_prompt_mode(self, value: str):
|
||||
self.core.current_prompt_mode = value
|
||||
|
||||
@property
|
||||
def enable_tool(self) -> bool:
|
||||
return self.features.enable_tool
|
||||
|
||||
@enable_tool.setter
|
||||
def enable_tool(self, value: bool):
|
||||
self.features.enable_tool = value
|
||||
|
||||
@property
|
||||
def enable_memory(self) -> bool:
|
||||
return self.features.enable_memory
|
||||
|
||||
@enable_memory.setter
|
||||
def enable_memory(self, value: bool):
|
||||
self.features.enable_memory = value
|
||||
|
||||
@property
|
||||
def enable_cache(self) -> bool:
|
||||
return self.features.enable_cache
|
||||
|
||||
@enable_cache.setter
|
||||
def enable_cache(self, value: bool):
|
||||
self.features.enable_cache = value
|
||||
|
||||
@property
|
||||
def cache_ttl(self) -> int:
|
||||
return self.features.cache_ttl
|
||||
|
||||
@cache_ttl.setter
|
||||
def cache_ttl(self, value: int):
|
||||
self.features.cache_ttl = value
|
||||
|
||||
@property
|
||||
def expression_habits_block(self) -> str:
|
||||
return self.content.expression_habits_block
|
||||
|
||||
@expression_habits_block.setter
|
||||
def expression_habits_block(self, value: str):
|
||||
self.content.expression_habits_block = value
|
||||
|
||||
@property
|
||||
def relation_info(self) -> str:
|
||||
return self.content.relation_info
|
||||
|
||||
@relation_info.setter
|
||||
def relation_info(self, value: str):
|
||||
self.content.relation_info = value
|
||||
|
||||
@property
|
||||
def memory_block(self) -> str:
|
||||
return self.content.memory_block
|
||||
|
||||
@memory_block.setter
|
||||
def memory_block(self, value: str):
|
||||
self.content.memory_block = value
|
||||
|
||||
@property
|
||||
def tool_info(self) -> str:
|
||||
return self.content.tool_info
|
||||
|
||||
@tool_info.setter
|
||||
def tool_info(self, value: str):
|
||||
self.content.tool_info = value
|
||||
|
||||
@property
|
||||
def prompt_info(self) -> str:
|
||||
return self.content.prompt_info
|
||||
|
||||
@prompt_info.setter
|
||||
def prompt_info(self, value: str):
|
||||
self.content.prompt_info = value
|
||||
|
||||
@property
|
||||
def cross_context_block(self) -> str:
|
||||
return self.content.cross_context_block
|
||||
|
||||
@cross_context_block.setter
|
||||
def cross_context_block(self, value: str):
|
||||
self.content.cross_context_block = value
|
||||
|
||||
# 兼容性方法 - 支持旧代码的直接访问
|
||||
def validate(self) -> List[str]:
|
||||
"""参数验证"""
|
||||
errors = self.core.validate()
|
||||
|
||||
# 验证功能参数
|
||||
if self.features.cache_ttl <= 0:
|
||||
errors.append("cache_ttl必须大于0")
|
||||
if self.features.max_context_messages <= 0:
|
||||
"""统一的参数验证"""
|
||||
errors = []
|
||||
if not self.chat_id:
|
||||
errors.append("chat_id不能为空")
|
||||
if self.prompt_mode not in ["s4u", "normal", "minimal"]:
|
||||
errors.append("prompt_mode必须是's4u'、'normal'或'minimal'")
|
||||
if self.max_context_messages <= 0:
|
||||
errors.append("max_context_messages必须大于0")
|
||||
|
||||
return errors
|
||||
|
||||
def get_needed_build_tasks(self) -> List[str]:
|
||||
"""获取需要执行的任务列表"""
|
||||
tasks = []
|
||||
|
||||
if self.features.enable_expression and not self.content.expression_habits_block:
|
||||
if self.enable_expression and not self.expression_habits_block:
|
||||
tasks.append("expression_habits")
|
||||
|
||||
if self.features.enable_memory and not self.content.memory_block:
|
||||
if self.enable_memory and not self.memory_block:
|
||||
tasks.append("memory_block")
|
||||
|
||||
if self.features.enable_relation and not self.content.relation_info:
|
||||
if self.enable_relation and not self.relation_info_block:
|
||||
tasks.append("relation_info")
|
||||
|
||||
if self.features.enable_tool and not self.content.tool_info:
|
||||
if self.enable_tool and not self.tool_info_block:
|
||||
tasks.append("tool_info")
|
||||
|
||||
if self.features.enable_knowledge and not self.content.prompt_info:
|
||||
if self.enable_knowledge and not self.knowledge_prompt:
|
||||
tasks.append("knowledge_info")
|
||||
|
||||
if self.features.enable_cross_context and not self.content.cross_context_block:
|
||||
if self.enable_cross_context and not self.cross_context_block:
|
||||
tasks.append("cross_context")
|
||||
|
||||
return tasks
|
||||
@@ -289,44 +104,44 @@ class SmartPromptParameters:
|
||||
Returns:
|
||||
SmartPromptParameters: 新参数对象
|
||||
"""
|
||||
# 创建核心参数
|
||||
core_params = PromptCoreParams(
|
||||
return cls(
|
||||
# 基础参数
|
||||
chat_id=kwargs.get("chat_id", ""),
|
||||
is_group_chat=kwargs.get("is_group_chat", False),
|
||||
sender=kwargs.get("sender", ""),
|
||||
target=kwargs.get("target", ""),
|
||||
reply_to=kwargs.get("reply_to", ""),
|
||||
extra_info=kwargs.get("extra_info", ""),
|
||||
current_prompt_mode=kwargs.get("current_prompt_mode", "s4u"),
|
||||
)
|
||||
|
||||
# 创建功能参数
|
||||
feature_params = PromptFeatureParams(
|
||||
prompt_mode=kwargs.get("current_prompt_mode", "s4u"),
|
||||
|
||||
# 功能开关
|
||||
enable_tool=kwargs.get("enable_tool", True),
|
||||
enable_memory=kwargs.get("enable_memory", True),
|
||||
enable_expression=kwargs.get("enable_expression", True),
|
||||
enable_relation=kwargs.get("enable_relation", True),
|
||||
enable_cross_context=kwargs.get("enable_cross_context", True),
|
||||
enable_knowledge=kwargs.get("enable_knowledge", True),
|
||||
enable_cache=kwargs.get("enable_cache", True),
|
||||
cache_ttl=kwargs.get("cache_ttl", 300),
|
||||
|
||||
# 性能控制
|
||||
max_context_messages=kwargs.get("max_context_messages", 50),
|
||||
debug_mode=kwargs.get("debug_mode", False),
|
||||
)
|
||||
|
||||
# 创建内容参数
|
||||
content_params = PromptContentParams(
|
||||
|
||||
# 聊天历史和上下文
|
||||
chat_target_info=kwargs.get("chat_target_info"),
|
||||
message_list_before_now_long=kwargs.get("message_list_before_now_long", []),
|
||||
message_list_before_short=kwargs.get("message_list_before_short", []),
|
||||
chat_talking_prompt_short=kwargs.get("chat_talking_prompt_short", ""),
|
||||
target_user_info=kwargs.get("target_user_info"),
|
||||
|
||||
# 已构建的内容块
|
||||
expression_habits_block=kwargs.get("expression_habits_block", ""),
|
||||
relation_info=kwargs.get("relation_info", ""),
|
||||
relation_info_block=kwargs.get("relation_info", ""),
|
||||
memory_block=kwargs.get("memory_block", ""),
|
||||
tool_info=kwargs.get("tool_info", ""),
|
||||
prompt_info=kwargs.get("prompt_info", ""),
|
||||
tool_info_block=kwargs.get("tool_info", ""),
|
||||
knowledge_prompt=kwargs.get("knowledge_prompt", ""),
|
||||
cross_context_block=kwargs.get("cross_context_block", ""),
|
||||
|
||||
# 其他内容块
|
||||
keywords_reaction_prompt=kwargs.get("keywords_reaction_prompt", ""),
|
||||
extra_info_block=kwargs.get("extra_info_block", ""),
|
||||
time_block=kwargs.get("time_block", ""),
|
||||
@@ -336,10 +151,4 @@ class SmartPromptParameters:
|
||||
reply_target_block=kwargs.get("reply_target_block", ""),
|
||||
mood_prompt=kwargs.get("mood_prompt", ""),
|
||||
action_descriptions=kwargs.get("action_descriptions", ""),
|
||||
)
|
||||
|
||||
return cls(
|
||||
core=core_params,
|
||||
features=feature_params,
|
||||
content=content_params
|
||||
)
|
||||
@@ -1,6 +1,7 @@
|
||||
"""
|
||||
共享提示词工具模块 - 消除重复代码
|
||||
提供统一的工具函数供DefaultReplyer和SmartPrompt使用
|
||||
移除缓存相关功能
|
||||
"""
|
||||
import re
|
||||
import time
|
||||
@@ -22,7 +23,7 @@ logger = get_logger("prompt_utils")
|
||||
|
||||
|
||||
class PromptUtils:
|
||||
"""提示词工具类 - 提供共享功能"""
|
||||
"""提示词工具类 - 提供共享功能，移除缓存相关功能"""
|
||||
|
||||
@staticmethod
|
||||
def parse_reply_target(target_message: str) -> Tuple[str, str]:
|
||||
@@ -51,13 +52,50 @@ class PromptUtils:
|
||||
return sender, target
|
||||
|
||||
@staticmethod
|
||||
async def build_cross_context_block(
|
||||
async def build_relation_info(chat_id: str, reply_to: str) -> str:
|
||||
"""
|
||||
构建关系信息 - 统一实现
|
||||
|
||||
Args:
|
||||
chat_id: 聊天ID
|
||||
reply_to: 回复目标字符串
|
||||
|
||||
Returns:
|
||||
str: 关系信息字符串
|
||||
"""
|
||||
if not global_config.relationship.enable_relationship:
|
||||
return ""
|
||||
|
||||
try:
|
||||
from src.person_info.relationship_fetcher import relationship_fetcher_manager
|
||||
relationship_fetcher = relationship_fetcher_manager.get_fetcher(chat_id)
|
||||
|
||||
if not reply_to:
|
||||
return ""
|
||||
sender, text = PromptUtils.parse_reply_target(reply_to)
|
||||
if not sender or not text:
|
||||
return ""
|
||||
|
||||
# 获取用户ID
|
||||
person_info_manager = get_person_info_manager()
|
||||
person_id = person_info_manager.get_person_id_by_person_name(sender)
|
||||
if not person_id:
|
||||
logger.warning(f"未找到用户 {sender} 的ID，跳过信息提取")
|
||||
return f"你完全不认识{sender}，不理解ta的相关信息。"
|
||||
|
||||
return await relationship_fetcher.build_relation_info(person_id, points_num=5)
|
||||
except Exception as e:
|
||||
logger.error(f"构建关系信息失败: {e}")
|
||||
return ""
|
||||
|
||||
@staticmethod
|
||||
async def build_cross_context(
|
||||
chat_id: str,
|
||||
target_user_info: Optional[Dict[str, Any]],
|
||||
current_prompt_mode: str
|
||||
) -> str:
|
||||
"""
|
||||
构建跨群聊上下文 - 统一实现
|
||||
构建跨群聊上下文 - 统一实现，完全继承DefaultReplyer功能
|
||||
|
||||
Args:
|
||||
chat_id: 当前聊天ID
|
||||
@@ -75,7 +113,12 @@ class PromptUtils:
|
||||
current_stream = get_chat_manager().get_stream(chat_id)
|
||||
if not current_stream or not current_stream.group_info:
|
||||
return ""
|
||||
current_chat_raw_id = current_stream.group_info.group_id
|
||||
|
||||
try:
|
||||
current_chat_raw_id = current_stream.group_info.group_id
|
||||
except Exception as e:
|
||||
logger.error(f"获取群聊ID失败: {e}")
|
||||
return ""
|
||||
|
||||
for group in global_config.cross_context.groups:
|
||||
if str(current_chat_raw_id) in group.chat_ids:
|
||||
@@ -97,15 +140,19 @@ class PromptUtils:
|
||||
if not stream_id:
|
||||
continue
|
||||
|
||||
messages = get_raw_msg_before_timestamp_with_chat(
|
||||
chat_id=stream_id,
|
||||
timestamp=time.time(),
|
||||
limit=5, # 可配置
|
||||
)
|
||||
if messages:
|
||||
chat_name = get_chat_manager().get_stream_name(stream_id) or stream_id
|
||||
formatted_messages, _ = build_readable_messages_with_id(messages, timestamp_mode="relative")
|
||||
cross_context_messages.append(f"[以下是来自\"{chat_name}\"的近期消息]\n{formatted_messages}")
|
||||
try:
|
||||
messages = get_raw_msg_before_timestamp_with_chat(
|
||||
chat_id=stream_id,
|
||||
timestamp=time.time(),
|
||||
limit=5, # 可配置
|
||||
)
|
||||
if messages:
|
||||
chat_name = get_chat_manager().get_stream_name(stream_id) or stream_id
|
||||
formatted_messages, _ = build_readable_messages_with_id(messages, timestamp_mode="relative")
|
||||
cross_context_messages.append(f"[以下是来自\"{chat_name}\"的近期消息]\n{formatted_messages}")
|
||||
except Exception as e:
|
||||
logger.error(f"获取群聊{chat_raw_id}的消息失败: {e}")
|
||||
continue
|
||||
|
||||
elif current_prompt_mode == "s4u":
|
||||
# s4u模式：获取当前发言用户在其他群聊的消息
|
||||
@@ -120,27 +167,31 @@ class PromptUtils:
|
||||
if not stream_id:
|
||||
continue
|
||||
|
||||
messages = get_raw_msg_before_timestamp_with_chat(
|
||||
chat_id=stream_id,
|
||||
timestamp=time.time(),
|
||||
limit=20, # 获取更多消息以供筛选
|
||||
)
|
||||
user_messages = [msg for msg in messages if msg.get("user_id") == user_id][
|
||||
-5:
|
||||
] # 筛选并取最近5条
|
||||
try:
|
||||
messages = get_raw_msg_before_timestamp_with_chat(
|
||||
chat_id=stream_id,
|
||||
timestamp=time.time(),
|
||||
limit=20, # 获取更多消息以供筛选
|
||||
)
|
||||
user_messages = [msg for msg in messages if msg.get("user_id") == user_id][
|
||||
-5:
|
||||
] # 筛选并取最近5条
|
||||
|
||||
if user_messages:
|
||||
chat_name = get_chat_manager().get_stream_name(stream_id) or stream_id
|
||||
user_name = (
|
||||
target_user_info.get("person_name") or
|
||||
target_user_info.get("user_nickname") or user_id
|
||||
)
|
||||
formatted_messages, _ = build_readable_messages_with_id(
|
||||
user_messages, timestamp_mode="relative"
|
||||
)
|
||||
cross_context_messages.append(
|
||||
f"[以下是\"{user_name}\"在\"{chat_name}\"的近期发言]\n{formatted_messages}"
|
||||
)
|
||||
if user_messages:
|
||||
chat_name = get_chat_manager().get_stream_name(stream_id) or stream_id
|
||||
user_name = (
|
||||
target_user_info.get("person_name") or
|
||||
target_user_info.get("user_nickname") or user_id
|
||||
)
|
||||
formatted_messages, _ = build_readable_messages_with_id(
|
||||
user_messages, timestamp_mode="relative"
|
||||
)
|
||||
cross_context_messages.append(
|
||||
f"[以下是\"{user_name}\"在\"{chat_name}\"的近期发言]\n{formatted_messages}"
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"获取用户{user_id}在群聊{chat_raw_id}的消息失败: {e}")
|
||||
continue
|
||||
|
||||
if not cross_context_messages:
|
||||
return ""
|
||||
@@ -260,88 +311,4 @@ class DependencyChecker:
|
||||
"memory": await DependencyChecker.check_memory_dependencies(),
|
||||
"tool": await DependencyChecker.check_tool_dependencies(),
|
||||
"knowledge": await DependencyChecker.check_knowledge_dependencies(),
|
||||
}
|
||||
|
||||
|
||||
class SmartPromptCache:
|
||||
"""智能提示词缓存系统 - 分层缓存实现"""
|
||||
|
||||
def __init__(self):
|
||||
self._l1_cache: Dict[str, Tuple[str, float]] = {} # 内存缓存: {key: (value, timestamp)}
|
||||
self._l2_cache_enabled = False # 是否启用L2缓存
|
||||
self._cache_ttl = 300 # 默认缓存TTL: 5分钟
|
||||
|
||||
def enable_l2_cache(self, enabled: bool = True):
|
||||
"""启用或禁用L2缓存"""
|
||||
self._l2_cache_enabled = enabled
|
||||
|
||||
def set_cache_ttl(self, ttl: int):
|
||||
"""设置缓存TTL（秒）"""
|
||||
self._cache_ttl = ttl
|
||||
|
||||
def _generate_key(self, chat_id: str, prompt_mode: str, reply_to: str) -> str:
|
||||
"""生成缓存键"""
|
||||
import hashlib
|
||||
key_content = f"{chat_id}_{prompt_mode}_{reply_to}"
|
||||
return hashlib.md5(key_content.encode()).hexdigest()
|
||||
|
||||
def get(self, chat_id: str, prompt_mode: str, reply_to: str) -> Optional[str]:
|
||||
"""获取缓存值"""
|
||||
cache_key = self._generate_key(chat_id, prompt_mode, reply_to)
|
||||
|
||||
# 检查L1缓存
|
||||
if cache_key in self._l1_cache:
|
||||
value, timestamp = self._l1_cache[cache_key]
|
||||
if time.time() - timestamp < self._cache_ttl:
|
||||
logger.debug(f"L1缓存命中: {cache_key}")
|
||||
return value
|
||||
else:
|
||||
# 缓存过期，清理
|
||||
del self._l1_cache[cache_key]
|
||||
|
||||
# TODO: 实现L2缓存（如Redis）
|
||||
# if self._l2_cache_enabled:
|
||||
# return self._get_from_l2_cache(cache_key)
|
||||
|
||||
return None
|
||||
|
||||
def set(self, chat_id: str, prompt_mode: str, reply_to: str, value: str):
|
||||
"""设置缓存值"""
|
||||
cache_key = self._generate_key(chat_id, prompt_mode, reply_to)
|
||||
|
||||
# 设置L1缓存
|
||||
self._l1_cache[cache_key] = (value, time.time())
|
||||
|
||||
# TODO: 实现L2缓存
|
||||
# if self._l2_cache_enabled:
|
||||
# self._set_to_l2_cache(cache_key, value)
|
||||
|
||||
# 定期清理过期缓存
|
||||
if len(self._l1_cache) > 1000: # 缓存条目过多时清理
|
||||
self._clean_expired_cache()
|
||||
|
||||
def _clean_expired_cache(self):
|
||||
"""清理过期缓存"""
|
||||
current_time = time.time()
|
||||
expired_keys = [
|
||||
key for key, (_, timestamp) in self._l1_cache.items()
|
||||
if current_time - timestamp >= self._cache_ttl
|
||||
]
|
||||
for key in expired_keys:
|
||||
del self._l1_cache[key]
|
||||
|
||||
logger.debug(f"清理过期缓存: {len(expired_keys)} 个条目")
|
||||
|
||||
def clear(self):
|
||||
"""清空所有缓存"""
|
||||
self._l1_cache.clear()
|
||||
# TODO: 清空L2缓存
|
||||
logger.info("缓存已清空")
|
||||
|
||||
def get_stats(self) -> Dict[str, Any]:
|
||||
"""获取缓存统计信息"""
|
||||
return {
|
||||
"l1_cache_size": len(self._l1_cache),
|
||||
"l2_cache_enabled": self._l2_cache_enabled,
|
||||
"cache_ttl": self._cache_ttl,
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user