feat：进一步合并normal和focus模式，移除interest_dict（附带其他合理性修改）

src/chat/focus_chat/hfc_utils.py

@@ -9,8 +9,6 @@ from typing import Dict, Any
 
 logger = get_logger(__name__)
 
-log_dir = "log/log_cycle_debug/"
-
 
 class CycleDetail:
     """循环信息记录类"""
@@ -104,34 +102,6 @@ class CycleDetail:
         self.loop_action_info = loop_info["loop_action_info"]
 
 
-async def create_empty_anchor_message(
-    platform: str, group_info: dict, chat_stream: ChatStream
-) -> Optional[MessageRecv]:
-    """
-    重构观察到的最后一条消息作为回复的锚点，
-    如果重构失败或观察为空，则创建一个占位符。
-    """
-
-    placeholder_id = f"mid_pf_{int(time.time() * 1000)}"
-    placeholder_user = UserInfo(user_id="system_trigger", user_nickname="System Trigger", platform=platform)
-    placeholder_msg_info = BaseMessageInfo(
-        message_id=placeholder_id,
-        platform=platform,
-        group_info=group_info,
-        user_info=placeholder_user,
-        time=time.time(),
-    )
-    placeholder_msg_dict = {
-        "message_info": placeholder_msg_info.to_dict(),
-        "processed_plain_text": "[System Trigger Context]",
-        "raw_message": "",
-        "time": placeholder_msg_info.time,
-    }
-    anchor_message = MessageRecv(placeholder_msg_dict)
-    anchor_message.update_chat_stream(chat_stream)
-
-    return anchor_message
-
 
 def parse_thinking_id_to_timestamp(thinking_id: str) -> float:
     """
@@ -143,21 +113,3 @@ def parse_thinking_id_to_timestamp(thinking_id: str) -> float:
     ts_str = thinking_id[3:]
     return float(ts_str)
 
-
-def get_keywords_from_json(json_str: str) -> list[str]:
-    # 提取JSON内容
-    start = json_str.find("{")
-    end = json_str.rfind("}") + 1
-    if start == -1 or end == 0:
-        logger.error("未找到有效的JSON内容")
-        return []
-
-    json_content = json_str[start:end]
-
-    # 解析JSON
-    try:
-        json_data = json.loads(json_content)
-        return json_data.get("keywords", [])
-    except json.JSONDecodeError as e:
-        logger.error(f"JSON解析失败: {e}")
-        return []