feat：拆分HFC组件，为插件做准备

src/chat/focus_chat/info_processors/base_processor.py

@@ -14,15 +14,15 @@ class BaseProcessor(ABC):
     支持处理InfoBase和Observation类型的输入。
     """
 
+    log_prefix = "Base信息处理器"
+
     @abstractmethod
     def __init__(self):
         """初始化处理器"""
-        pass
 
     @abstractmethod
     async def process_info(
         self,
-        infos: List[InfoBase],
         observations: Optional[List[Observation]] = None,
         running_memorys: Optional[List[Dict]] = None,
         **kwargs: Any,

src/chat/focus_chat/info_processors/chattinginfo_processor.py

@@ -12,7 +12,7 @@ from typing import Dict
 from src.chat.models.utils_model import LLMRequest
 from src.config.config import global_config
 
-logger = get_logger("observation")
+logger = get_logger("processor")
 
 
 class ChattingInfoProcessor(BaseProcessor):
@@ -21,12 +21,14 @@ class ChattingInfoProcessor(BaseProcessor):
     用于处理Observation对象，将其转换为ObsInfo对象。
     """
 
+    log_prefix = "聊天信息处理"
+
     def __init__(self):
         """初始化观察处理器"""
+        super().__init__()
         self.llm_summary = LLMRequest(
             model=global_config.llm_observation, temperature=0.7, max_tokens=300, request_type="chat_observation"
         )
-        super().__init__()
 
     async def process_info(
         self,

src/chat/focus_chat/info_processors/mind_processor.py

@@ -24,17 +24,16 @@ from src.chat.focus_chat.info_processors.processor_utils import (
 from typing import Dict
 from src.chat.focus_chat.info.info_base import InfoBase
 
-logger = get_logger("sub_heartflow")
+logger = get_logger("processor")
 
 
 def init_prompt():
     # --- Group Chat Prompt ---
     group_prompt = """
+你的名字是{bot_name}
 {memory_str}
 {extra_info}
 {relation_prompt}
-你的名字是{bot_name}
-{mood_info}
 {cycle_info_block}
 现在是{time_now}，你正在上网，和qq群里的网友们聊天，以下是正在进行的聊天内容：
 {chat_observe_info}
@@ -74,8 +73,11 @@ def init_prompt():
 
 
 class MindProcessor(BaseProcessor):
+    log_prefix = "聊天思考"
+
     def __init__(self, subheartflow_id: str):
         super().__init__()
+
         self.subheartflow_id = subheartflow_id
 
         self.llm_model = LLMRequest(
@@ -228,7 +230,7 @@ class MindProcessor(BaseProcessor):
             bot_name=individuality.name,
             time_now=time_now,
             chat_observe_info=chat_observe_info,
-            mood_info="mood_info",
+            # mood_info="mood_info",
             hf_do_next=spark_prompt,
             last_mind=previous_mind,
             cycle_info_block=hfcloop_observe_info,

src/chat/focus_chat/info_processors/tool_processor.py

@@ -14,7 +14,7 @@ from src.chat.heart_flow.observation.observation import Observation
 from src.chat.heart_flow.observation.working_observation import WorkingObservation
 from src.chat.focus_chat.info.structured_info import StructuredInfo
 
-logger = get_logger("tool_use")
+logger = get_logger("processor")
 
 
 def init_prompt():
@@ -45,6 +45,8 @@ def init_prompt():
 
 
 class ToolProcessor(BaseProcessor):
+    log_prefix = "工具执行器"
+
     def __init__(self, subheartflow_id: str):
         super().__init__()
         self.subheartflow_id = subheartflow_id