refactor: Clean up unused variables and improve code readability

bot.py

@@ -130,9 +130,7 @@ def check_eula():
     privacy_file = Path("PRIVACY.md")
 
     eula_updated = True
-    eula_new_hash = None
     privacy_updated = True
-    privacy_new_hash = None
 
     eula_confirmed = False
     privacy_confirmed = False

scripts/info_extraction.py

@@ -76,7 +76,7 @@ def process_single_text(pg_hash, raw_data, llm_client_list):
         return doc_item, None
 
 
-def signal_handler(signum, frame):
+def signal_handler(_signum, _frame):
     """处理Ctrl+C信号"""
     logger.info("\n接收到中断信号，正在优雅地关闭程序...")
     shutdown_event.set()

src/common/message_repository.py

@@ -26,7 +26,6 @@ def find_messages(
     """
     try:
         query = db.messages.find(message_filter)
-        results: List[dict[str, Any]] = []
 
         if limit > 0:
             if limit_mode == "earliest":

src/individuality/individuality.py

@@ -113,7 +113,6 @@ class Individuality:
             p_pronoun = "我"
             prompt_personality = f"{p_pronoun}{self.personality.personality_core}"
         else:  # x_person == 0
-            p_pronoun = ""  # 无人称
             # 对于无人称，直接描述核心特征
             prompt_personality = f"{self.personality.personality_core}"
 

src/plugins/PFC/action_planner.py

@@ -262,7 +262,6 @@ class ActionPlanner:
         # --- 知识信息字符串构建结束 ---
 
         # 获取聊天历史记录 (chat_history_text)
-        chat_history_text = ""
         try:
             if hasattr(observation_info, "chat_history") and observation_info.chat_history:
                 chat_history_text = observation_info.chat_history_str

src/plugins/PFC/chat_observer.py

@@ -123,11 +123,7 @@ class ChatObserver:
         self.last_cold_chat_check = current_time
 
         # 判断是否冷场
-        is_cold = False
+        is_cold = True if self.last_message_time is None else (current_time - self.last_message_time) > self.cold_chat_threshold
-        if self.last_message_time is None:
-            is_cold = True
-        else:
-            is_cold = (current_time - self.last_message_time) > self.cold_chat_threshold
 
         # 如果冷场状态发生变化，发送通知
         if is_cold != self.is_cold_chat_state:

src/plugins/chat/utils.py

@@ -156,7 +156,7 @@ async def get_recent_group_messages(chat_id: str, limit: int = 12) -> list:
     return message_objects
 
 
-def get_recent_group_detailed_plain_text(chat_stream_id: int, limit: int = 12, combine=False):
+def get_recent_group_detailed_plain_text(chat_stream_id: str, limit: int = 12, combine=False):
     recent_messages = list(
         db.messages.find(
             {"chat_id": chat_stream_id},

src/plugins/emoji_system/emoji_manager.py

@@ -50,8 +50,6 @@ class MaiEmoji:
 
     async def initialize_hash_format(self):
         """从文件创建表情包实例, 计算哈希值和格式"""
-        image_base64 = None
-        image_bytes = None
         try:
             # 使用 full_path 检查文件是否存在
             if not os.path.exists(self.full_path):

src/plugins/heartFC_chat/heartFC_chat.py

@@ -174,7 +174,7 @@ class HeartFChatting:
         self,
         chat_id: str,
         sub_mind: SubMind,
-        observations: Observation,
+        observations: list[Observation],
         on_consecutive_no_reply_callback: Callable[[], Coroutine[None, None, None]],
     ):
         """
@@ -631,19 +631,18 @@ class HeartFChatting:
         observation = self.observations[0] if self.observations else None
 
         try:
-            dang_qian_deng_dai = 0.0  # 初始化本次等待时间
             with Timer("等待新消息", cycle_timers):
                 # 等待新消息、超时或关闭信号，并获取结果
                 await self._wait_for_new_message(observation, planner_start_db_time, self.log_prefix)
             # 从计时器获取实际等待时间
-            dang_qian_deng_dai = cycle_timers.get("等待新消息", 0.0)
+            current_waiting = cycle_timers.get("等待新消息", 0.0)
 
             if not self._shutting_down:
                 self._lian_xu_bu_hui_fu_ci_shu += 1
-                self._lian_xu_deng_dai_shi_jian += dang_qian_deng_dai  # 累加等待时间
+                self._lian_xu_deng_dai_shi_jian += current_waiting  # 累加等待时间
                 logger.debug(
                     f"{self.log_prefix} 连续不回复计数增加: {self._lian_xu_bu_hui_fu_ci_shu}/{CONSECUTIVE_NO_REPLY_THRESHOLD}, "
-                    f"本次等待: {dang_qian_deng_dai:.2f}秒, 累计等待: {self._lian_xu_deng_dai_shi_jian:.2f}秒"
+                    f"本次等待: {current_waiting:.2f}秒, 累计等待: {self._lian_xu_deng_dai_shi_jian:.2f}秒"
                 )
 
                 # 检查是否同时达到次数和时间阈值

src/plugins/memory_system/Hippocampus.py

@@ -364,7 +364,6 @@ class Hippocampus:
         logger.debug(f"有效的关键词: {', '.join(valid_keywords)}")
 
         # 从每个关键词获取记忆
-        all_memories = []
         activate_map = {}  # 存储每个词的累计激活值
 
         # 对每个关键词进行扩散式检索
@@ -536,7 +535,6 @@ class Hippocampus:
         logger.debug(f"有效的关键词: {', '.join(valid_keywords)}")
 
         # 从每个关键词获取记忆
-        all_memories = []
         activate_map = {}  # 存储每个词的累计激活值
 
         # 对每个关键词进行扩散式检索

src/plugins/person_info/person_info.py

@@ -137,7 +137,6 @@ class PersonInfoManager:
     @staticmethod
     def _extract_json_from_text(text: str) -> dict:
         """从文本中提取JSON数据的高容错方法"""
-        parsed_json = None
         try:
             # 尝试直接解析
             parsed_json = json.loads(text)

src/plugins/willing/mode_dynamic.py

@@ -50,7 +50,6 @@ class DynamicWillingManager(BaseWillingManager):
                 is_high_mode = self.chat_high_willing_mode.get(chat_id, False)
 
                 # 获取当前模式的持续时间
-                duration = 0
                 if is_high_mode:
                     duration = self.chat_high_willing_duration.get(chat_id, 180)  # 默认3分钟
                 else:
@@ -154,8 +153,6 @@ class DynamicWillingManager(BaseWillingManager):
             )
 
         # 根据当前模式计算回复概率
-        base_probability = 0.0
-
         if in_conversation_context:
             # 在对话上下文中，降低基础回复概率
             base_probability = 0.5 if is_high_mode else 0.25

src/plugins/willing/mode_llmcheck.py

@@ -76,10 +76,8 @@ class LlmcheckWillingManager(MxpWillingManager):
 
         current_date = time.strftime("%Y-%m-%d", time.localtime())
         current_time = time.strftime("%H:%M:%S", time.localtime())
-        chat_talking_prompt = ""
+        chat_talking_prompt = get_recent_group_detailed_plain_text(chat_id, limit=length, combine=True)
-        if chat_id:
+        if not chat_id:
-            chat_talking_prompt = get_recent_group_detailed_plain_text(chat_id, limit=length, combine=True)
-        else:
             return 0
 
         # if is_mentioned_bot: