插件系统info修复，见changes.md

src/chat/heart_flow/chat_state_info.py

@@ -5,7 +5,7 @@ class ChatState(enum.Enum):
     ABSENT = "没在看群"
     NORMAL = "随便水群"
     FOCUSED = "认真水群"
-    
+
     def __str__(self):
         return self.name
 

src/chat/message_receive/chat_stream.py

@@ -39,6 +39,7 @@ class ChatMessageContext:
         return self.message
 
     def check_types(self, types: list) -> bool:
+        # sourcery skip: invert-any-all, use-any, use-next
         """检查消息类型"""
         if not self.message.message_info.format_info.accept_format:
             return False

src/chat/normal_chat/normal_chat.py

@@ -561,7 +561,9 @@ class NormalChat:
         available_actions = None
         if self.enable_planner:
             try:
-                await self.action_modifier.modify_actions(mode=ChatMode.NORMAL, message_content=message.processed_plain_text)
+                await self.action_modifier.modify_actions(
+                    mode=ChatMode.NORMAL, message_content=message.processed_plain_text
+                )
                 available_actions = self.action_manager.get_using_actions_for_mode(ChatMode.NORMAL)
             except Exception as e:
                 logger.warning(f"[{self.stream_name}] 获取available_actions失败: {e}")

src/chat/planner_actions/action_manager.py

@@ -1,4 +1,4 @@
-from typing import Dict, List, Optional, Type, Any
+from typing import Dict, List, Optional, Type
 from src.plugin_system.base.base_action import BaseAction
 from src.chat.message_receive.chat_stream import ChatStream
 from src.common.logger import get_logger
@@ -7,6 +7,7 @@ from src.plugin_system.base.component_types import ComponentType, ActionActivati
 
 logger = get_logger("action_manager")
 
+
 class ActionManager:
     """
     动作管理器，用于管理各种类型的动作
@@ -73,7 +74,7 @@ class ActionManager:
                     "activation_keywords": action_info.activation_keywords,
                     "keyword_case_sensitive": action_info.keyword_case_sensitive,
                     # 模式和并行设置
-                    "mode_enable": action_info.mode_enable.value,
+                    "mode_enable": action_info.mode_enable,
                     "parallel_action": action_info.parallel_action,
                     # 插件信息
                     "_plugin_name": getattr(action_info, "plugin_name", ""),
@@ -187,7 +188,7 @@ class ActionManager:
         enabled_actions = {}
 
         for action_name, action_info in self._using_actions.items():
-            action_mode = action_info.mode_enable
+            action_mode = action_info["mode_enable"]
 
             # 检查动作是否在当前模式下启用
             if action_mode in [ChatMode.ALL, mode]:

src/chat/planner_actions/action_modifier.py

@@ -2,16 +2,16 @@ import random
 import asyncio
 import hashlib
 import time
-from typing import List, Optional, Any, Dict
+from typing import List, Any, Dict
 
 from src.common.logger import get_logger
 from src.config.config import global_config
 from src.llm_models.utils_model import LLMRequest
 from src.chat.focus_chat.focus_loop_info import FocusLoopInfo
-from src.chat.message_receive.chat_stream import get_chat_manager
+from src.chat.message_receive.chat_stream import get_chat_manager, ChatMessageContext
 from src.chat.planner_actions.action_manager import ActionManager
 from src.chat.utils.chat_message_builder import get_raw_msg_before_timestamp_with_chat, build_readable_messages
-from src.plugin_system.base.component_types import ChatMode
+from src.plugin_system.base.component_types import ChatMode, ActionInfo
 
 logger = get_logger("action_manager")
 
@@ -48,7 +48,7 @@ class ActionModifier:
         loop_info=None,
         mode: ChatMode = ChatMode.FOCUS,
         message_content: str = "",
-    ):
+    ):  # sourcery skip: use-named-expression
         """
         动作修改流程，整合传统观察处理和新的激活类型判定
 
@@ -129,15 +129,14 @@ class ActionModifier:
             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}"
         )
 
-    def _check_action_associated_types(self, all_actions, chat_context):
+    def _check_action_associated_types(self, all_actions: Dict[str, ActionInfo], chat_context: ChatMessageContext):
         type_mismatched_actions = []
         for action_name, data in all_actions.items():
-            if data.get("associated_types"):
-                if not chat_context.check_types(data["associated_types"]):
-                    associated_types_str = ", ".join(data["associated_types"])
-                    reason = f"适配器不支持（需要: {associated_types_str}）"
-                    type_mismatched_actions.append((action_name, reason))
-                    logger.debug(f"{self.log_prefix}决定移除动作: {action_name}，原因: {reason}")
+            if data["associated_types"] and not chat_context.check_types(data["associated_types"]):
+                associated_types_str = ", ".join(data["associated_types"])
+                reason = f"适配器不支持（需要: {associated_types_str}）"
+                type_mismatched_actions.append((action_name, reason))
+                logger.debug(f"{self.log_prefix}决定移除动作: {action_name}，原因: {reason}")
         return type_mismatched_actions
 
     async def _get_deactivated_actions_by_type(
@@ -205,35 +204,6 @@ class ActionModifier:
 
         return deactivated_actions
 
-    async def process_actions_for_planner(
-        self, observed_messages_str: str = "", chat_context: Optional[str] = None, extra_context: Optional[str] = None
-    ) -> Dict[str, Any]:
-        """
-        [已废弃] 此方法现在已被整合到 modify_actions() 中
-
-        为了保持向后兼容性而保留，但建议直接使用 ActionManager.get_using_actions()
-        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
-
-        新的架构：
-        1. 主循环调用 modify_actions() 处理完整的动作管理流程
-        2. 规划器直接使用 ActionManager.get_using_actions() 获取最终动作集
-        """
-        logger.warning(
-            f"{self.log_prefix}process_actions_for_planner() 已废弃，建议规划器直接使用 ActionManager.get_using_actions()"
-        )
-
-        # 为了向后兼容，仍然返回当前使用的动作集
-        current_using_actions = self.action_manager.get_using_actions()
-        all_registered_actions = self.action_manager.get_registered_actions()
-
-        # 构建完整的动作信息
-        result = {}
-        for action_name in current_using_actions.keys():
-            if action_name in all_registered_actions:
-                result[action_name] = all_registered_actions[action_name]
-
-        return result
-
     def _generate_context_hash(self, chat_content: str) -> str:
         """生成上下文的哈希值用于缓存"""
         context_content = f"{chat_content}"