🤖 自动格式化代码 [skip ci]

scripts/mongodb_to_sqlite.py

@@ -199,7 +199,7 @@ class MongoToSQLiteMigrator:
                     "timestamp": "timestamp",
                 },
                 enable_validation=True,  # 禁用数据验证"
-                unique_fields=["user_id", "prompt_tokens","completion_tokens","total_tokens","cost"],  # 组合唯一性
+                unique_fields=["user_id", "prompt_tokens", "completion_tokens", "total_tokens", "cost"],  # 组合唯一性
             ),
             # 消息迁移配置
             MigrationConfig(

src/chat/focus_chat/expressors/exprssion_learner.py

@@ -212,7 +212,7 @@ class ExpressionLearner:
         # random_msg_str: str = await build_readable_messages(random_msg, timestamp_mode="normal")
         random_msg_str: str = await build_anonymous_messages(random_msg)
         # print(f"random_msg_str:{random_msg_str}")
-        
+
         prompt: str = await global_prompt_manager.format_prompt(
             prompt,
             chat_str=random_msg_str,

src/chat/focus_chat/heartFC_chat.py

@@ -335,7 +335,9 @@ class HeartFChatting:
                 for pname, ptime in processor_time_costs.items():
                     formatted_ptime = f"{ptime * 1000:.2f}毫秒" if ptime < 1 else f"{ptime:.2f}秒"
                     processor_time_strings.append(f"{pname}: {formatted_ptime}")
-                processor_time_log = ("\n各处理器耗时: " + "; ".join(processor_time_strings)) if processor_time_strings else ""
+                processor_time_log = (
+                    ("\n各处理器耗时: " + "; ".join(processor_time_strings)) if processor_time_strings else ""
+                )
 
                 logger.info(
                     f"{self.log_prefix} 第{self._current_cycle.cycle_id}次思考,"
@@ -471,7 +473,9 @@ class HeartFChatting:
                 running_memorys = await self.memory_activator.activate_memory(observations)
 
             with Timer("执行 信息处理器", cycle_timers):
-                all_plan_info, processor_time_costs = await self._process_processors(observations, running_memorys, cycle_timers)
+                all_plan_info, processor_time_costs = await self._process_processors(
+                    observations, running_memorys, cycle_timers
+                )
 
                 loop_processor_info = {
                     "all_plan_info": all_plan_info,

src/chat/utils/chat_message_builder.py

@@ -451,7 +451,7 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
     def get_anon_name(platform, user_id):
         # print(f"get_anon_name: platform:{platform}, user_id:{user_id}")
         # print(f"global_config.bot.qq_account:{global_config.bot.qq_account}")
-        
+
         if user_id == global_config.bot.qq_account:
             # print("SELF11111111111111")
             return "SELF"
@@ -488,11 +488,11 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
                 content = content.replace("ⁿ", "")
 
             # if not all([platform, user_id, timestamp is not None]):
-                # continue
+            # continue
 
             anon_name = get_anon_name(platform, user_id)
             # print(f"anon_name:{anon_name}")
-            
+
             # 处理 回复<aaa:bbb>
             reply_pattern = r"回复<([^:<>]+):([^:<>]+)>"
             match = re.search(reply_pattern, content)
@@ -514,7 +514,7 @@ async def build_anonymous_messages(messages: List[Dict[str, Any]]) -> str:
                 new_content = ""
                 last_end = 0
                 for m in at_matches:
-                    new_content += content[last_end:m.start()]
+                    new_content += content[last_end : m.start()]
                     bbb = m.group(2)
                     try:
                         anon_at = get_anon_name(platform, bbb)

src/main.py

@@ -162,7 +162,7 @@ class MainSystem:
         """学习并存储表达方式任务"""
         while True:
             await asyncio.sleep(global_config.expression.learning_interval)
-            if global_config.expression.enable_expression_learning: 
+            if global_config.expression.enable_expression_learning:
                 logger.info("[表达方式学习] 开始学习表达方式...")
                 await expression_learner.learn_and_store_expression()
                 logger.info("[表达方式学习] 表达方式学习完成")

src/plugins/test_plugin_pic/actions/pic_action.py

@@ -22,7 +22,9 @@ class PicAction(PluginAction):
     """根据描述使用火山引擎HTTP API生成图片的动作处理类"""
 
     action_name = "pic_action"
-    action_description = "可以根据特定的描述，生成并发送一张图片，如果没提供描述，就根据聊天内容生成,你可以立刻画好，不用等待"
+    action_description = (
+        "可以根据特定的描述，生成并发送一张图片，如果没提供描述，就根据聊天内容生成,你可以立刻画好，不用等待"
+    )
     action_parameters = {
         "description": "图片描述，输入你想要生成并发送的图片的描述，必填",
         "size": "图片尺寸，例如 '1024x1024' (可选, 默认从配置或 '1024x1024')",