Feat：添加对Action插件的支持，现在可以编写插件

src/chat/heart_flow/observation/chatting_observation.py

@@ -14,6 +14,7 @@ from typing import Optional
 import difflib
 from src.chat.message_receive.message import MessageRecv  # 添加 MessageRecv 导入
 from src.chat.heart_flow.observation.observation import Observation
+
 from src.common.logger_manager import get_logger
 from src.chat.heart_flow.utils_chat import get_chat_type_and_target_info
 from src.chat.utils.prompt_builder import Prompt
@@ -43,6 +44,7 @@ class ChattingObservation(Observation):
     def __init__(self, chat_id):
         super().__init__(chat_id)
         self.chat_id = chat_id
+        self.platform = "qq"
 
         # --- Initialize attributes (defaults) ---
         self.is_group_chat: bool = False
@@ -105,7 +107,7 @@ class ChattingObservation(Observation):
                 mid_memory_str += f"{mid_memory['theme']}\n"
             return mid_memory_str + "现在群里正在聊：\n" + self.talking_message_str
 
-    def serch_message_by_text(self, text: str) -> Optional[MessageRecv]:
+    def search_message_by_text(self, text: str) -> Optional[MessageRecv]:
         """
         根据回复的纯文本
         1. 在talking_message中查找最新的，最匹配的消息
@@ -150,7 +152,7 @@ class ChattingObservation(Observation):
         }
 
         message_info = {
-            "platform": find_msg.get("platform"),
+            "platform": self.platform,
             "message_id": find_msg.get("message_id"),
             "time": find_msg.get("time"),
             "group_info": group_info,

src/chat/heart_flow/observation/hfcloop_observation.py

@@ -3,6 +3,7 @@
 from datetime import datetime
 from src.common.logger_manager import get_logger
 from src.chat.focus_chat.heartFC_Cycleinfo import CycleDetail
+from src.chat.focus_chat.planners.action_manager import ActionManager
 from typing import List
 # Import the new utility function
 
@@ -16,14 +17,16 @@ class HFCloopObservation:
         self.observe_id = observe_id
         self.last_observe_time = datetime.now().timestamp()  # 初始化为当前时间
         self.history_loop: List[CycleDetail] = []
+        self.action_manager = ActionManager()   
 
     def get_observe_info(self):
         return self.observe_info
 
     def add_loop_info(self, loop_info: CycleDetail):
-        # logger.debug(f"添加循环信息111111111111111111111111111111111111: {loop_info}")
-        # print(f"添加循环信息111111111111111111111111111111111111: {loop_info}")
         self.history_loop.append(loop_info)
+    
+    def set_action_manager(self, action_manager: ActionManager):
+        self.action_manager = action_manager
 
     async def observe(self):
         recent_active_cycles: List[CycleDetail] = []
@@ -62,7 +65,6 @@ class HFCloopObservation:
         if cycle_info_block:
             cycle_info_block = f"\n你最近的回复\n{cycle_info_block}\n"
         else:
-            # 如果最近的活动循环不是文本回复，或者没有活动循环
             cycle_info_block = "\n"
 
         # 获取history_loop中最新添加的
@@ -72,8 +74,17 @@ class HFCloopObservation:
             end_time = last_loop.end_time
             if start_time is not None and end_time is not None:
                 time_diff = int(end_time - start_time)
-                cycle_info_block += f"\n距离你上一次阅读消息已经过去了{time_diff}分钟\n"
+                if time_diff > 60:
+                    cycle_info_block += f"\n距离你上一次阅读消息已经过去了{time_diff/60}分钟\n"
+                else:
+                    cycle_info_block += f"\n距离你上一次阅读消息已经过去了{time_diff}秒\n"
             else:
-                cycle_info_block += "\n无法获取上一次阅读消息的时间\n"
+                cycle_info_block += "\n你还没看过消息\n"
+                
+        using_actions = self.action_manager.get_using_actions()
+        for action_name, action_info in using_actions.items():
+            action_description = action_info["description"]
+            cycle_info_block += f"\n你在聊天中可以使用{action_name}，这个动作的描述是{action_description}\n"
+        
 
         self.observe_info = cycle_info_block

src/chat/heart_flow/observation/observation.py

@@ -5,7 +5,6 @@ from src.common.logger_manager import get_logger
 
 logger = get_logger("observation")
 
-
 # 所有观察的基类
 class Observation:
     def __init__(self, observe_id):