🤖 自动格式化代码 [skip ci]

src/chat/focus_chat/info_processors/expression_selector_processor.py

@@ -286,5 +286,4 @@ class ExpressionSelectorProcessor(BaseProcessor):
             return []
 
 
-
 init_prompt()

src/chat/focus_chat/replyer/default_generator.py

@@ -21,9 +21,6 @@ import time
 import random
 from datetime import datetime
 import re
-from sklearn.feature_extraction.text import TfidfVectorizer
-from sklearn.metrics.pairwise import cosine_similarity
-import numpy as np
 
 logger = get_logger("replyer")
 
@@ -710,5 +707,4 @@ def weighted_sample_no_replacement(items, weights, k) -> list:
     return selected
 
 
-
 init_prompt()

src/chat/normal_chat/normal_chat.py

@@ -1131,9 +1131,7 @@ class NormalChat:
                 start_date = time.strftime("%Y-%m-%d %H:%M", time.localtime(start_time))
 
                 # 获取该段的消息（包含边界）
-                segment_messages = get_raw_msg_by_timestamp_with_chat_inclusive(
-                    self.stream_id, start_time, end_time
-                )
+                segment_messages = get_raw_msg_by_timestamp_with_chat_inclusive(self.stream_id, start_time, end_time)
                 logger.info(
                     f"[{self.stream_name}] 消息段 {i + 1}: {start_date} - {time.strftime('%Y-%m-%d %H:%M', time.localtime(end_time))}, 消息数: {len(segment_messages)}"
                 )
@@ -1162,7 +1160,9 @@ class NormalChat:
                 # 按时间排序所有消息（包括间隔标识）
                 processed_messages.sort(key=lambda x: x["time"])
 
-                logger.info(f"[{self.stream_name}] 为 {person_id} 获取到总共 {len(processed_messages)} 条消息（包含间隔标识）用于印象更新")
+                logger.info(
+                    f"[{self.stream_name}] 为 {person_id} 获取到总共 {len(processed_messages)} 条消息（包含间隔标识）用于印象更新"
+                )
                 relationship_manager = get_relationship_manager()
 
                 # 调用统一的更新方法

src/chat/normal_chat/normal_prompt.py

@@ -150,7 +150,6 @@ class PromptBuilder:
         style_habbits_str = "\n".join(style_habbits)
         grammar_habbits_str = "\n".join(grammar_habbits)
 
-
         memory_prompt = ""
 
         if global_config.memory.enable_memory: