style: 统一代码风格并进行现代化改进

对整个代码库进行了一次全面的风格统一和现代化改进。主要变更包括：

- 将 `hasattr` 等内置函数中的字符串参数从单引号 `'` 统一为双引号 `"`。
- 采用现代类型注解，例如将 `Optional[T]` 替换为 `T | None`，`List[T]` 替换为 `list[T]` 等。
- 移除不再需要的 Python 2 兼容性声明 `# -*- coding: utf-8 -*-`。
- 清理了多余的空行、注释和未使用的导入。
- 统一了文件末尾的换行符。
- 优化了部分日志输出和字符串格式化 (`f"{e!s}"`)。

这些改动旨在提升代码的可读性、一致性和可维护性，使其更符合现代 Python 编码规范。

src/plugins/built_in/affinity_flow_chatter/affinity_interest_calculator.py

@@ -52,7 +52,7 @@ class AffinityInterestCalculator(BaseInterestCalculator):
         # 用户关系数据缓存
         self.user_relationships: dict[str, float] = {}  # user_id -> relationship_score
 
-        logger.info(f"[Affinity兴趣计算器] 初始化完成:")
+        logger.info("[Affinity兴趣计算器] 初始化完成:")
         logger.info(f"  - 权重配置: {self.score_weights}")
         logger.info(f"  - 回复阈值: {self.reply_threshold}")
         logger.info(f"  - 智能匹配: {self.use_smart_matching}")
@@ -69,9 +69,9 @@ class AffinityInterestCalculator(BaseInterestCalculator):
         """执行AffinityFlow风格的兴趣值计算"""
         try:
             start_time = time.time()
-            message_id = getattr(message, 'message_id', '')
-            content = getattr(message, 'processed_plain_text', '')
-            user_id = getattr(message, 'user_info', {}).user_id if hasattr(message, 'user_info') and hasattr(message.user_info, 'user_id') else ''
+            message_id = getattr(message, "message_id", "")
+            content = getattr(message, "processed_plain_text", "")
+            user_id = getattr(message, "user_info", {}).user_id if hasattr(message, "user_info") and hasattr(message.user_info, "user_id") else ""
 
             logger.debug(f"[Affinity兴趣计算] 开始处理消息 {message_id}")
             logger.debug(f"[Affinity兴趣计算] 消息内容: {content[:50]}...")
@@ -135,7 +135,7 @@ class AffinityInterestCalculator(BaseInterestCalculator):
             logger.error(f"Affinity兴趣值计算失败: {e}", exc_info=True)
             return InterestCalculationResult(
                 success=False,
-                message_id=getattr(message, 'message_id', ''),
+                message_id=getattr(message, "message_id", ""),
                 interest_value=0.0,
                 error_message=str(e)
             )
@@ -206,9 +206,9 @@ class AffinityInterestCalculator(BaseInterestCalculator):
 
     def _calculate_mentioned_score(self, message: "DatabaseMessages", bot_nickname: str) -> float:
         """计算提及分"""
-        is_mentioned = getattr(message, 'is_mentioned', False)
-        is_at = getattr(message, 'is_at', False)
-        processed_plain_text = getattr(message, 'processed_plain_text', '')
+        is_mentioned = getattr(message, "is_mentioned", False)
+        is_at = getattr(message, "is_at", False)
+        processed_plain_text = getattr(message, "processed_plain_text", "")
 
         if is_mentioned:
             if is_at:
@@ -238,7 +238,7 @@ class AffinityInterestCalculator(BaseInterestCalculator):
         keywords = []
 
         # 尝试从 key_words 字段提取（存储的是JSON字符串）
-        key_words = getattr(message, 'key_words', '')
+        key_words = getattr(message, "key_words", "")
         if key_words:
             try:
                 import orjson
@@ -250,7 +250,7 @@ class AffinityInterestCalculator(BaseInterestCalculator):
 
         # 如果没有 keywords，尝试从 key_words_lite 提取
         if not keywords:
-            key_words_lite = getattr(message, 'key_words_lite', '')
+            key_words_lite = getattr(message, "key_words_lite", "")
             if key_words_lite:
                 try:
                     import orjson
@@ -262,7 +262,7 @@ class AffinityInterestCalculator(BaseInterestCalculator):
 
         # 如果还是没有，从消息内容中提取（降级方案）
         if not keywords:
-            content = getattr(message, 'processed_plain_text', '') or ''
+            content = getattr(message, "processed_plain_text", "") or ""
             keywords = self._extract_keywords_from_content(content)
 
         return keywords[:15]  # 返回前15个关键词
@@ -298,4 +298,4 @@ class AffinityInterestCalculator(BaseInterestCalculator):
             self.no_reply_count = min(self.no_reply_count + 1, self.max_no_reply_count)
 
     # 是否使用智能兴趣匹配（作为类属性）
-    use_smart_matching = True
+    use_smart_matching = True

src/plugins/built_in/affinity_flow_chatter/planner.py

@@ -107,9 +107,9 @@ class ChatterActionPlanner:
                 # 直接使用消息中已计算的标志，无需重复计算兴趣值
                 for message in unread_messages:
                     try:
-                        message_interest = getattr(message, 'interest_value', 0.3)
-                        message_should_reply = getattr(message, 'should_reply', False)
-                        message_should_act = getattr(message, 'should_act', False)
+                        message_interest = getattr(message, "interest_value", 0.3)
+                        message_should_reply = getattr(message, "should_reply", False)
+                        message_should_act = getattr(message, "should_act", False)
 
                         # 确保interest_value不是None
                         if message_interest is None:

src/plugins/built_in/affinity_flow_chatter/plugin.py

@@ -5,7 +5,7 @@
 from src.common.logger import get_logger
 from src.plugin_system.apis.plugin_register_api import register_plugin
 from src.plugin_system.base.base_plugin import BasePlugin
-from src.plugin_system.base.component_types import ComponentInfo, ComponentType, InterestCalculatorInfo
+from src.plugin_system.base.component_types import ComponentInfo
 
 logger = get_logger("affinity_chatter_plugin")
 
@@ -52,4 +52,3 @@ class AffinityChatterPlugin(BasePlugin):
 
         return components
 
-    

src/plugins/built_in/core_actions/__init__.py

@@ -14,4 +14,4 @@ __plugin_meta__ = PluginMetadata(
         "is_built_in": True,
         "plugin_type": "action_provider",
     }
-)
+)

src/plugins/built_in/permission_management/__init__.py

@@ -13,4 +13,4 @@ __plugin_meta__ = PluginMetadata(
         "is_built_in": True,
         "plugin_type": "permission",
     }
-)
+)

src/plugins/built_in/plugin_management/__init__.py

@@ -14,4 +14,4 @@ __plugin_meta__ = PluginMetadata(
         "is_built_in": True,
         "plugin_type": "plugin_management",
     }
-)
+)

src/plugins/built_in/proactive_thinker/__init__.py

@@ -14,4 +14,4 @@ __plugin_meta__ = PluginMetadata(
         "is_built_in": True,
         "plugin_type": "functional"
     }
-)
+)

src/plugins/built_in/proactive_thinker/proacive_thinker_event.py

@@ -65,10 +65,10 @@ class ColdStartTask(AsyncTask):
                         nickname = await person_api.get_person_value(person_id, "nickname")
                         user_nickname = nickname or f"用户{user_id}"
                         user_info = UserInfo(platform=platform, user_id=str(user_id), user_nickname=user_nickname)
-                        
+
                         # 使用 get_or_create_stream 来安全地获取或创建流
                         stream = await self.chat_manager.get_or_create_stream(platform, user_info)
-                        
+
                         formatted_stream_id = f"{stream.user_info.platform}:{stream.user_info.user_id}:private"
                         await self.executor.execute(stream_id=formatted_stream_id, start_mode="cold_start")
                         logger.info(f"【冷启动】已为用户 {chat_id} (昵称: {user_nickname}) 发送唤醒/问候消息。")

src/plugins/built_in/social_toolkit_plugin/__init__.py

@@ -14,4 +14,4 @@ __plugin_meta__ = PluginMetadata(
         "is_built_in": "true",
         "plugin_type": "functional"
     }
-)
+)

src/plugins/built_in/tts_plugin/__init__.py

@@ -14,4 +14,4 @@ __plugin_meta__ = PluginMetadata(
         "is_built_in": True,
         "plugin_type": "audio_processor",
     }
-)
+)

src/plugins/built_in/web_search_tool/__init__.py

@@ -13,4 +13,4 @@ __plugin_meta__ = PluginMetadata(
     extra={
         "is_built_in": True,
     }
-)
+)