feat:统一化模式动作,移除模式配置
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@@ -181,29 +181,6 @@ class ActionManager:
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"""获取当前正在使用的动作集合"""
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return self._using_actions.copy()
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def get_using_actions_for_mode(self, mode: str) -> Dict[str, ActionInfo]:
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"""
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根据聊天模式获取可用的动作集合
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Args:
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mode: 聊天模式 ("focus", "normal", "all")
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Returns:
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Dict[str, ActionInfo]: 在指定模式下可用的动作集合
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"""
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filtered_actions = {}
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for action_name, action_info in self._using_actions.items():
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action_mode = action_info.get("mode_enable", "all")
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# 检查动作是否在当前模式下启用
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if action_mode == "all" or action_mode == mode:
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filtered_actions[action_name] = action_info
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logger.debug(f"动作 {action_name} 在模式 {mode} 下可用 (mode_enable: {action_mode})")
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logger.debug(f"模式 {mode} 下可用动作: {list(filtered_actions.keys())}")
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return filtered_actions
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def add_action_to_using(self, action_name: str) -> bool:
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"""
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添加已注册的动作到当前使用的动作集
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@@ -44,7 +44,6 @@ class ActionModifier:
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async def modify_actions(
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self,
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history_loop=None,
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mode: str = "focus",
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message_content: str = "",
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):
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"""
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@@ -62,7 +61,7 @@ class ActionModifier:
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removals_s2 = []
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self.action_manager.restore_actions()
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all_actions = self.action_manager.get_using_actions_for_mode(mode)
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all_actions = self.action_manager.get_using_actions()
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message_list_before_now_half = get_raw_msg_before_timestamp_with_chat(
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chat_id=self.chat_stream.stream_id,
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@@ -82,10 +81,10 @@ class ActionModifier:
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chat_content = chat_content + "\n" + f"现在,最新的消息是:{message_content}"
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# === 第一阶段:传统观察处理 ===
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if history_loop:
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removals_from_loop = await self.analyze_loop_actions(history_loop)
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if removals_from_loop:
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removals_s1.extend(removals_from_loop)
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# if history_loop:
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# removals_from_loop = await self.analyze_loop_actions(history_loop)
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# if removals_from_loop:
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# removals_s1.extend(removals_from_loop)
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# 检查动作的关联类型
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chat_context = self.chat_stream.context
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@@ -104,12 +103,11 @@ class ActionModifier:
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logger.debug(f"{self.log_prefix}开始激活类型判定阶段")
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# 获取当前使用的动作集(经过第一阶段处理)
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current_using_actions = self.action_manager.get_using_actions_for_mode(mode)
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current_using_actions = self.action_manager.get_using_actions()
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# 获取因激活类型判定而需要移除的动作
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removals_s2 = await self._get_deactivated_actions_by_type(
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current_using_actions,
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mode,
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chat_content,
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)
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@@ -124,7 +122,7 @@ class ActionModifier:
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removals_summary = " | ".join([f"{name}({reason})" for name, reason in all_removals])
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logger.info(
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f"{self.log_prefix}{mode}模式动作修改流程结束,最终可用动作: {list(self.action_manager.get_using_actions_for_mode(mode).keys())}||移除记录: {removals_summary}"
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f"{self.log_prefix} 动作修改流程结束,最终可用动作: {list(self.action_manager.get_using_actions().keys())}||移除记录: {removals_summary}"
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)
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def _check_action_associated_types(self, all_actions, chat_context):
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@@ -141,7 +139,6 @@ class ActionModifier:
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async def _get_deactivated_actions_by_type(
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self,
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actions_with_info: Dict[str, Any],
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mode: str = "focus",
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chat_content: str = "",
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) -> List[tuple[str, str]]:
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"""
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@@ -163,7 +160,7 @@ class ActionModifier:
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random.shuffle(actions_to_check)
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for action_name, action_info in actions_to_check:
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activation_type = f"{mode}_activation_type"
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activation_type = "focus_activation_type"
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activation_type = action_info.get(activation_type, "always")
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if activation_type == "always":
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@@ -186,6 +183,11 @@ class ActionModifier:
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elif activation_type == "llm_judge":
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llm_judge_actions[action_name] = action_info
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elif activation_type == "never":
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reason = f"激活类型为never"
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deactivated_actions.append((action_name, reason))
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logger.debug(f"{self.log_prefix}未激活动作: {action_name},原因: 激活类型为never")
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else:
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logger.warning(f"{self.log_prefix}未知的激活类型: {activation_type},跳过处理")
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@@ -203,35 +205,6 @@ class ActionModifier:
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return deactivated_actions
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async def process_actions_for_planner(
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self, observed_messages_str: str = "", chat_context: Optional[str] = None, extra_context: Optional[str] = None
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) -> Dict[str, Any]:
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"""
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[已废弃] 此方法现在已被整合到 modify_actions() 中
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为了保持向后兼容性而保留,但建议直接使用 ActionManager.get_using_actions()
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规划器应该直接从 ActionManager 获取最终的可用动作集,而不是调用此方法
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新的架构:
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1. 主循环调用 modify_actions() 处理完整的动作管理流程
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2. 规划器直接使用 ActionManager.get_using_actions() 获取最终动作集
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"""
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logger.warning(
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f"{self.log_prefix}process_actions_for_planner() 已废弃,建议规划器直接使用 ActionManager.get_using_actions()"
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)
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# 为了向后兼容,仍然返回当前使用的动作集
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current_using_actions = self.action_manager.get_using_actions()
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all_registered_actions = self.action_manager.get_registered_actions()
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# 构建完整的动作信息
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result = {}
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for action_name in current_using_actions.keys():
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if action_name in all_registered_actions:
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result[action_name] = all_registered_actions[action_name]
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return result
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def _generate_context_hash(self, chat_content: str) -> str:
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"""生成上下文的哈希值用于缓存"""
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context_content = f"{chat_content}"
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@@ -76,7 +76,7 @@ class ActionPlanner:
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self.last_obs_time_mark = 0.0
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async def plan(self,mode: str = "focus") -> Dict[str, Any]:
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async def plan(self,mode:str = "focus") -> Dict[str, Any]:
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"""
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规划器 (Planner): 使用LLM根据上下文决定做出什么动作。
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"""
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@@ -91,7 +91,7 @@ class ActionPlanner:
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is_group_chat, chat_target_info = get_chat_type_and_target_info(self.chat_id)
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logger.debug(f"{self.log_prefix}获取到聊天信息 - 群聊: {is_group_chat}, 目标信息: {chat_target_info}")
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current_available_actions_dict = self.action_manager.get_using_actions_for_mode(mode)
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current_available_actions_dict = self.action_manager.get_using_actions()
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# 获取完整的动作信息
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all_registered_actions = self.action_manager.get_registered_actions()
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@@ -247,7 +247,23 @@ class ActionPlanner:
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if mode == "focus":
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by_what = "聊天内容"
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no_action_block = ""
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no_action_block = """重要说明1:
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- 'no_reply' 表示只进行不进行回复,等待合适的回复时机
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- 当你刚刚发送了消息,没有人回复时,选择no_reply
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- 当你一次发送了太多消息,为了避免打扰聊天节奏,选择no_reply
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动作:reply
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动作描述:参与聊天回复,发送文本进行表达
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- 你想要闲聊或者随便附和
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- 有人提到你
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- 如果你刚刚进行了回复,不要对同一个话题重复回应
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{
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"action": "reply",
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"reply_to":"你要回复的对方的发言内容,格式:(用户名:发言内容),可以为none"
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"reason":"回复的原因"
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}
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"""
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else:
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by_what = "聊天内容和用户的最新消息"
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no_action_block = """重要说明:
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