mirror of https://github.com/Mai-with-u/MaiBot.git
🤖 自动格式化代码 [skip ci]
github-actions[bot]
parent
caacab83dd
commit
0447f86a40
|
|
@ -3,6 +3,7 @@ import traceback
|
|||
from typing import Tuple, Optional, Dict, Any, List
|
||||
|
||||
from src.common.logger_manager import get_logger
|
||||
|
||||
# from src.individuality.individuality import Individuality
|
||||
from src.plugins.utils.chat_message_builder import build_readable_messages
|
||||
from ..models.utils_model import LLMRequest
|
||||
|
|
@ -154,6 +155,7 @@ block_and_ignore: 更加极端的结束对话方式，直接结束对话并在
|
|||
|
||||
注意：请严格按照JSON格式输出，不要包含任何其他内容。"""
|
||||
|
||||
|
||||
class ActionPlanner:
|
||||
"""行动规划器"""
|
||||
|
||||
|
|
@ -214,13 +216,12 @@ class ActionPlanner:
|
|||
goals_str = self._build_goals_string(conversation_info)
|
||||
chat_history_text = await self._build_chat_history_text(observation_info)
|
||||
# 获取 sender_name, relationship_text, current_emotion_text
|
||||
sender_name_str = getattr(observation_info, 'sender_name', '对方') # 从 observation_info 获取
|
||||
sender_name_str = getattr(observation_info, "sender_name", "对方") # 从 observation_info 获取
|
||||
if not sender_name_str:
|
||||
sender_name_str = '对方' # 再次确保有默认值
|
||||
|
||||
relationship_text_str = getattr(conversation_info, 'relationship_text', '你们还不熟悉。')
|
||||
current_emotion_text_str = getattr(conversation_info, 'current_emotion_text', '心情平静。')
|
||||
sender_name_str = "对方" # 再次确保有默认值
|
||||
|
||||
relationship_text_str = getattr(conversation_info, "relationship_text", "你们还不熟悉。")
|
||||
current_emotion_text_str = getattr(conversation_info, "current_emotion_text", "心情平静。")
|
||||
|
||||
persona_text = f"{self.name}。"
|
||||
action_history_summary, last_action_context = self._build_action_history_context(conversation_info)
|
||||
|
|
@ -237,14 +238,16 @@ class ActionPlanner:
|
|||
|
||||
# --- 2. 选择并格式化 Prompt ---
|
||||
try:
|
||||
if use_reflect_prompt: # 新增的判断
|
||||
if use_reflect_prompt: # 新增的判断
|
||||
prompt_template = PROMPT_REFLECT_AND_ACT
|
||||
log_msg = "使用 PROMPT_REFLECT_AND_ACT (反思决策)"
|
||||
# 对于 PROMPT_REFLECT_AND_ACT，它不包含 send_new_message 选项，所以 spam_warning_message 中的相关提示可以调整或省略
|
||||
# 但为了保持占位符填充的一致性，我们仍然计算它
|
||||
spam_warning_message = ""
|
||||
if conversation_info.my_message_count > 5: # 这里的 my_message_count 仍有意义，表示之前连续发送了多少
|
||||
spam_warning_message = f"⚠️【警告】**你之前已连续发送{str(conversation_info.my_message_count)}条消息！请谨慎决策。**"
|
||||
if conversation_info.my_message_count > 5: # 这里的 my_message_count 仍有意义，表示之前连续发送了多少
|
||||
spam_warning_message = (
|
||||
f"⚠️【警告】**你之前已连续发送{str(conversation_info.my_message_count)}条消息！请谨慎决策。**"
|
||||
)
|
||||
elif conversation_info.my_message_count > 2:
|
||||
spam_warning_message = f"💬【提示】**你之前已连续发送{str(conversation_info.my_message_count)}条消息。请注意保持对话平衡。**"
|
||||
|
||||
|
|
@ -260,12 +263,12 @@ class ActionPlanner:
|
|||
else:
|
||||
prompt_template = PROMPT_INITIAL_REPLY
|
||||
log_msg = "使用 PROMPT_INITIAL_REPLY (首次/非连续回复决策)"
|
||||
spam_warning_message = "" # 初始回复时通常不需要刷屏警告
|
||||
spam_warning_message = "" # 初始回复时通常不需要刷屏警告
|
||||
|
||||
logger.debug(f"[私聊][{self.private_name}] {log_msg}")
|
||||
|
||||
current_time_value = "获取时间失败"
|
||||
if observation_info and hasattr(observation_info, 'current_time_str') and observation_info.current_time_str:
|
||||
if observation_info and hasattr(observation_info, "current_time_str") and observation_info.current_time_str:
|
||||
current_time_value = observation_info.current_time_str
|
||||
|
||||
if spam_warning_message:
|
||||
|
|
@ -285,7 +288,7 @@ class ActionPlanner:
|
|||
spam_warning_info=spam_warning_message,
|
||||
sender_name=sender_name_str,
|
||||
relationship_text=relationship_text_str,
|
||||
current_emotion_text=current_emotion_text_str
|
||||
current_emotion_text=current_emotion_text_str,
|
||||
)
|
||||
logger.debug(f"[私聊][{self.private_name}] 发送到LLM的最终提示词:\n------\n{prompt}\n------")
|
||||
except KeyError as fmt_key_err:
|
||||
|
|
@ -333,10 +336,11 @@ class ActionPlanner:
|
|||
time_str_for_end_decision = observation_info.current_time_str
|
||||
final_action, final_reason = await self._handle_end_conversation_decision(
|
||||
persona_text,
|
||||
chat_history_text, initial_reason,
|
||||
time_str_for_end_decision,
|
||||
chat_history_text,
|
||||
initial_reason,
|
||||
time_str_for_end_decision,
|
||||
sender_name_str=sender_name_str,
|
||||
relationship_text_str=relationship_text_str
|
||||
relationship_text_str=relationship_text_str,
|
||||
)
|
||||
except Exception as end_dec_err:
|
||||
logger.error(f"[私聊][{self.private_name}] 处理结束对话决策时出错: {end_dec_err}")
|
||||
|
|
@ -361,7 +365,7 @@ class ActionPlanner:
|
|||
"block_and_ignore",
|
||||
"say_goodbye",
|
||||
]
|
||||
valid_actions_reflect = [ # PROMPT_REFLECT_AND_ACT 的动作
|
||||
valid_actions_reflect = [ # PROMPT_REFLECT_AND_ACT 的动作
|
||||
"wait",
|
||||
"listening",
|
||||
"rethink_goal",
|
||||
|
|
@ -502,9 +506,7 @@ class ActionPlanner:
|
|||
)
|
||||
logger.debug(f"[私聊][{self.private_name}] 向 LLM 追加了 {other_unread_count} 条未读消息。")
|
||||
else:
|
||||
chat_history_text += (
|
||||
"\n--- 以上均为已读消息，未读消息均已处理完毕 ---\n"
|
||||
)
|
||||
chat_history_text += "\n--- 以上均为已读消息，未读消息均已处理完毕 ---\n"
|
||||
except AttributeError as e:
|
||||
logger.warning(f"[私聊][{self.private_name}] 构建聊天记录文本时属性错误: {e}")
|
||||
chat_history_text = "[获取聊天记录时出错]\n"
|
||||
|
|
@ -562,11 +564,23 @@ class ActionPlanner:
|
|||
# --- Helper method for handling end_conversation decision ---
|
||||
|
||||
async def _handle_end_conversation_decision(
|
||||
self, persona_text: str, chat_history_text: str, initial_reason: str, current_time_str: str, sender_name_str: str, relationship_text_str: str
|
||||
self,
|
||||
persona_text: str,
|
||||
chat_history_text: str,
|
||||
initial_reason: str,
|
||||
current_time_str: str,
|
||||
sender_name_str: str,
|
||||
relationship_text_str: str,
|
||||
) -> Tuple[str, str]:
|
||||
"""处理结束对话前的告别决策"""
|
||||
logger.info(f"[私聊][{self.private_name}] 初步规划结束对话，进入告别决策...")
|
||||
end_decision_prompt = PROMPT_END_DECISION.format(persona_text=persona_text, chat_history_text=chat_history_text,current_time_str=current_time_str,sender_name = sender_name_str, relationship_text = relationship_text_str)
|
||||
end_decision_prompt = PROMPT_END_DECISION.format(
|
||||
persona_text=persona_text,
|
||||
chat_history_text=chat_history_text,
|
||||
current_time_str=current_time_str,
|
||||
sender_name=sender_name_str,
|
||||
relationship_text=relationship_text_str,
|
||||
)
|
||||
logger.debug(f"[私聊][{self.private_name}] 发送到LLM的结束决策提示词:\n------\n{end_decision_prompt}\n------")
|
||||
llm_start_time = time.time()
|
||||
end_content, _ = await self.llm.generate_response_async(end_decision_prompt)
|
||||
|
|
|
|||
|
|
@ -295,7 +295,9 @@ async def handle_action(
|
|||
# 后续的 plan 循环会检测到这个 "done_no_reply" 状态并使用反思 prompt
|
||||
|
||||
elif is_suitable: # 适用于 direct_reply 或 (send_new_message 且 RG决定发送并通过检查)
|
||||
logger.debug(f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 找到合适的回复，准备发送。")
|
||||
logger.debug(
|
||||
f"[私聊][{conversation_instance.private_name}] 动作 '{action}': 找到合适的回复，准备发送。"
|
||||
)
|
||||
# conversation_info.last_reply_rejection_reason = None # 已在循环内清除
|
||||
# conversation_info.last_rejected_reply_content = None
|
||||
conversation_instance.generated_reply = generated_content_for_check_or_send # 使用检查通过的内容
|
||||
|
|
|
|||
Loading…
Reference in New Issue