chore: 去除一些不必要的注释

README.md

@@ -34,9 +34,9 @@
 - Ollama 
 - 几乎所有已知模型（可接入 [OneAPI](https://astrbot.soulter.top/docs/docs/adavanced/one-api)）
 
-🌍 机器人支持的能力一览：
+🌍 机器人支持的能力：
 - 大模型对话、人格、网页搜索
-- 可视化仪表盘
+- 可视化管理面板
 - 同时处理多平台消息
 - 精确到个人的会话隔离
 - 插件支持

astrbot/bootstrap.py

@@ -122,7 +122,7 @@ class AstrBotBootstrap():
                         continue
                     self.load_openai(llm)
                     f = True
-                    logger.info(f"已启用 LLM Provider(OpenAI API): {llm.name}。")
+                    logger.info(f"已启用 LLM Provider(OpenAI API): {llm.id}({llm.name})。")
         if f:
             from model.command.openai_official_handler import OpenAIOfficialCommandHandler
             self.openai_command_handler = OpenAIOfficialCommandHandler(self.command_manager)

dashboard/routes/stat.py

@@ -65,6 +65,7 @@ class StatRoute(Route):
                 "platform": self.db_helper.get_grouped_base_stats(offset_sec).platform,
                 "message_count": self.db_helper.get_total_message_count() or 0,
                 "platform_count": len(self.context.platforms),
+                "plugin_count": len(self.context.cached_plugins),
                 "message_time_series": message_time_based_stats,
                 "running": self.format_sec(int(time.time() - self.context._start_running)),
                 "memory": {

dashboard/server.py

@@ -35,5 +35,5 @@ class AstrBotDashboard():
         
     def run(self):
         ip_addr = get_local_ip_addresses()
-        logger.info(f"仪表盘已启动，可访问 http://{ip_addr}:6185 登录。")
+        logger.info(f"管理面板已启动，可访问 http://{ip_addr}:6185 登录。")
         return self.app.run_task(host="0.0.0.0", port=6185, shutdown_trigger=self.shutdown_trigger_placeholder)

model/command/manager.py

@@ -59,9 +59,9 @@ class CommandManager():
             description=description
         )
         if plugin_metadata:
-            logger.info(f"已注册 {plugin_metadata.author}/{plugin_metadata.plugin_name} 的指令 {command}。")
+            logger.debug(f"已注册 {plugin_metadata.author}/{plugin_metadata.plugin_name} 的指令 {command}。")
         else:
-            logger.info(f"已注册指令 {command}。")
+            logger.debug(f"已注册指令 {command}。")
         
     def register_from_pcb(self, pcb: PluginCommandBridge):
         for request in pcb.plugin_commands_waitlist:

model/platform/manager.py

@@ -25,7 +25,6 @@ class PlatformManager():
         tasks = []
         
         platforms = self.context.config_helper.platform
-        logger.info(f"加载 {len(platforms)} 个机器人消息平台...")
         for platform in platforms:
             if not platform.enable:
                 continue

model/plugin/manager.py

@@ -167,8 +167,6 @@ class PluginManager():
 
                 plugin_path = os.path.join(self.plugin_store_path, root_dir_name)
                 metadata = self.load_plugin_metadata(plugin_path=plugin_path, plugin_obj=obj)
-                
-                logger.info(f"插件 {metadata.plugin_name}({metadata.author}) 加载成功。")
 
                 if module_path not in registered_map:
                     cached_plugins.append(RegisteredPlugin(

model/provider/openai_official.py

@@ -55,8 +55,7 @@ class ProviderOpenAIOfficial(Provider):
         
         logger.info("正在载入分词器 cl100k_base...")
         self.tokenizer = tiktoken.get_encoding("cl100k_base") # todo: 根据 model 切换分词器
-        logger.info("分词器载入完成。")
-        
+
         self.DEFAULT_PERSONALITY = {
             "prompt": self.llm_config.default_personality,
             "name": "default"

type/config.py

@@ -278,7 +278,7 @@ CONFIG_METADATA_2 = {
     "https_proxy": {"description": "HTTPS 代理", "type": "string", "hint": "启用后，会以添加环境变量的方式设置代理。格式为 `http://ip:port`"},
     "http_proxy": {"description": "HTTP 代理", "type": "string", "hint": "启用后，会以添加环境变量的方式设置代理。格式为 `http://ip:port`"},
     "dashboard": {
-        "description": "仪表盘配置",
+        "description": "管理面板配置",
         "type": "object",
         "items": {
             "enable": {"description": "启用", "type": "bool"},

util/log.py

@@ -56,7 +56,7 @@ class LogManager:
         console_handler = logging.StreamHandler()
         console_handler.setLevel(logging.DEBUG)
         console_formatter = colorlog.ColoredFormatter(
-            fmt='%(log_color)s [%(asctime)s| %(levelname)s] [%(funcName)s|%(filename)s:%(lineno)d]: %(message)s %(reset)s',
+            fmt='%(log_color)s [%(asctime)s| %(levelname)s] [%(filename)s:%(lineno)d]: %(message)s %(reset)s',
             datefmt='%H:%M:%S',
             log_colors=log_color_config
         )