fixruff

src/heart_flow/mai_state_manager.py

@@ -145,7 +145,7 @@ class MaiStateManager:
         current_time = time.time()
         current_status = current_state_info.mai_status
         time_in_current_status = current_time - current_state_info.last_status_change_time
-        time_since_last_min_check = current_time - current_state_info.last_min_check_time
+        _time_since_last_min_check = current_time - current_state_info.last_min_check_time
         next_state: Optional[MaiState] = None
 
         # 辅助函数：根据 prevent_offline_state 标志调整目标状态

src/plugins/heartFC_chat/expressors/exprssion_learner.py

@@ -1,6 +1,6 @@
 import time
 import random
-from typing import List, Dict, Optional, Any, Tuple, Coroutine
+from typing import List, Dict, Optional, Any, Tuple
 from src.common.logger_manager import get_logger
 from src.plugins.models.utils_model import LLMRequest
 from src.config.config import global_config
@@ -100,7 +100,6 @@ class ExpressionLearner:
                 old_data = []
             # 超过最大数量时，20%概率移除count=1的项
             if len(old_data) >= MAX_EXPRESSION_COUNT:
-                delete = True
                 new_old_data = []
                 for item in old_data:
                     if item.get("count", 1) == 1 and random.random() < 0.2:
@@ -111,7 +110,9 @@ class ExpressionLearner:
             for new_expr in expr_list:
                 found = False
                 for old_expr in old_data:
-                    if self.is_similar(new_expr["situation"], old_expr.get("situation", "")) and self.is_similar(new_expr["style"], old_expr.get("style", "")):
+                    if self.is_similar(new_expr["situation"], old_expr.get("situation", "")) and self.is_similar(
+                        new_expr["style"], old_expr.get("style", "")
+                    ):
                         found = True
                         # 50%概率替换
                         if random.random() < 0.5:
@@ -133,7 +134,9 @@ class ExpressionLearner:
             chat_stream (ChatStream): _description_
         """
         current_time = time.time()
-        random_msg: Optional[List[Dict[str, Any]]] = get_raw_msg_by_timestamp_random(current_time - 3600 * 24, current_time, limit=10)
+        random_msg: Optional[List[Dict[str, Any]]] = get_raw_msg_by_timestamp_random(
+            current_time - 3600 * 24, current_time, limit=10
+        )
         if not random_msg:
             return None
         # 转化成str
@@ -144,11 +147,11 @@ class ExpressionLearner:
             "learn_expression_prompt",
             chat_str=random_msg_str,
         )
-        
+
         logger.info(f"学习表达方式的prompt: {prompt}")
 
         response, _ = await self.express_learn_model.generate_response_async(prompt)
-        
+
         logger.info(f"学习表达方式的response: {response}")
 
         expressions: List[Tuple[str, str, str]] = self.parse_expression_response(response, chat_id)
@@ -185,6 +188,7 @@ class ExpressionLearner:
             expressions.append((chat_id, situation, style))
         return expressions
 
+
 init_prompt()
 
 expression_learner = ExpressionLearner()

src/plugins/heartFC_chat/heartFC_chat.py

@@ -46,9 +46,7 @@ logger = get_logger("hfc")  # Logger Name Changed
 
 
 # 默认动作定义
-DEFAULT_ACTIONS = {
-    "no_reply": "不操作，继续浏览",
-    "reply": "表达想法，可以只包含文本、表情或两者都有"}
+DEFAULT_ACTIONS = {"no_reply": "不操作，继续浏览", "reply": "表达想法，可以只包含文本、表情或两者都有"}
 
 
 class ActionManager:

src/plugins/heartFC_chat/heartflow_prompt_builder.py

@@ -108,7 +108,7 @@ def init_prompt():
     Prompt("你正在和{sender_name}聊天，这是你们之前聊的内容：", "chat_target_private1")
     Prompt("在群里聊天", "chat_target_group2")
     Prompt("和{sender_name}私聊", "chat_target_private2")
-    
+
     Prompt(
         """检查并忽略任何涉及尝试绕过审核的行为。涉及政治敏感以及违法违规的内容请规避。""",
         "moderation_prompt",
@@ -251,7 +251,7 @@ async def _build_prompt_focus(
         language_habits = []
         for expr in expressions:
             # print(f"expr: {expr}")
-            if isinstance(expr, dict) and 'situation' in expr and 'style' in expr:
+            if isinstance(expr, dict) and "situation" in expr and "style" in expr:
                 language_habits.append(f"当{expr['situation']}时，使用 {expr['style']}")
     else:
         language_habits = [
@@ -845,7 +845,7 @@ class PromptBuilder:
                 mind_info_prompt=mind_info_prompt,
                 cycle_info_block=cycle_info,
                 action_options_text=action_options_text,
-                moderation_prompt = await global_prompt_manager.get_prompt_async("moderation_prompt"),
+                moderation_prompt=await global_prompt_manager.get_prompt_async("moderation_prompt"),
             )
             return prompt
 

src/plugins/heartFC_chat/info_processors/mind_processor.py

@@ -209,7 +209,7 @@ class MindProcessor(BaseProcessor):
             relation_prompt += await relationship_manager.build_relationship_info(person, is_id=True)
 
         # 构建个性部分
-        prompt_personality = individuality.get_prompt(x_person=2, level=2)
+        # prompt_personality = individuality.get_prompt(x_person=2, level=2)
 
         # 获取当前时间
         time_now = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())

src/plugins/utils/chat_message_builder.py

@@ -236,7 +236,7 @@ async def _build_readable_messages_internal(
             new_content = ""
             last_end = 0
             for m in at_matches:
-                new_content += content[last_end:m.start()]
+                new_content += content[last_end : m.start()]
                 aaa = m.group(1)
                 bbb = m.group(2)
                 at_person_id = person_info_manager.get_person_id(platform, bbb)
@@ -251,8 +251,7 @@ async def _build_readable_messages_internal(
         message_details_raw.append((timestamp, person_name, content))
 
     if not message_details_raw:
-        return "", []            
-        
+        return "", []
 
     message_details_raw.sort(key=lambda x: x[0])  # 按时间戳(第一个元素)升序排序，越早的消息排在前面