PFC消息记录格式与HFC对齐
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@@ -8,6 +8,7 @@ from .pfc_utils import get_items_from_json
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from src.individuality.individuality import Individuality
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from .observation_info import ObservationInfo
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from .conversation_info import ConversationInfo
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from src.plugins.utils.chat_message_builder import build_readable_messages
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pfc_action_log_config = LogConfig(
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console_format=PFC_ACTION_PLANNER_STYLE_CONFIG["console_format"],
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@@ -132,12 +133,7 @@ class ActionPlanner:
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chat_history_text = ""
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try:
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if hasattr(observation_info, "chat_history") and observation_info.chat_history:
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chat_history_list = observation_info.chat_history[-20:]
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for msg in chat_history_list:
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if isinstance(msg, dict) and "detailed_plain_text" in msg:
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chat_history_text += f"{msg.get('detailed_plain_text', '')}\n"
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elif isinstance(msg, str):
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chat_history_text += f"{msg}\n"
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chat_history_text = observation_info.chat_history_str
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if not chat_history_text: # 如果历史记录是空列表
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chat_history_text = "还没有聊天记录。\n"
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else:
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@@ -146,12 +142,14 @@ class ActionPlanner:
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if hasattr(observation_info, "new_messages_count") and observation_info.new_messages_count > 0:
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if hasattr(observation_info, "unprocessed_messages") and observation_info.unprocessed_messages:
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new_messages_list = observation_info.unprocessed_messages
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chat_history_text += f"--- 以下是 {observation_info.new_messages_count} 条新消息 ---\n"
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for msg in new_messages_list:
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if isinstance(msg, dict) and "detailed_plain_text" in msg:
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chat_history_text += f"{msg.get('detailed_plain_text', '')}\n"
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elif isinstance(msg, str):
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chat_history_text += f"{msg}\n"
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new_messages_str = await build_readable_messages(
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new_messages_list,
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replace_bot_name=True,
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merge_messages=False,
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timestamp_mode="relative",
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read_mark=0.0,
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)
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chat_history_text += f"\n--- 以下是 {observation_info.new_messages_count} 条新消息 ---\n{new_messages_str}"
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# 清理消息应该由调用者或 observation_info 内部逻辑处理,这里不再调用 clear
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# if hasattr(observation_info, 'clear_unprocessed_messages'):
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# observation_info.clear_unprocessed_messages()
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@@ -242,7 +240,7 @@ class ActionPlanner:
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last_action_context += "- 【重要】失败/取消原因未明确记录。\n"
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else:
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last_action_context += f"- 该行动当前状态: {status}\n"
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print(f"chat_history_text:\n{chat_history_text}")
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# --- 构建最终的 Prompt ---
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prompt = f"""{persona_text}。现在你在参与一场QQ私聊,请根据以下【所有信息】审慎且灵活的决策下一步行动,可以发言,可以等待,可以倾听,可以调取知识:
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@@ -304,4 +302,4 @@ end_conversation: 结束对话,对方长时间没回复或者当你觉得对
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except Exception as e:
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logger.error(f"规划行动时调用 LLM 或处理结果出错: {str(e)}")
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return "wait", f"行动规划处理中发生错误,暂时等待: {str(e)}"
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return "wait", f"行动规划处理中发生错误,暂时等待: {str(e)}"
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