0878f0d4ea
- 删除未被实际消费的事件系统实现与相关发布逻辑 - 将插件调用统计改为在机器人主链路中直接埋点记录 - 重构统计收集插件初始化与记录方式，移除事件总线依赖 - 同步更新工程优化文档中的性能与链路治理描述
171 lines
5.8 KiB
Python
171 lines
5.8 KiB
Python
from loguru import logger
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from typing import Dict, Any, Tuple, Optional, List
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from base.plugin_common.plugin_interface import PluginInterface, PluginStatus
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from db.stats_db import StatsDBOperator
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from db.connection import DBConnectionManager
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class StatsCollectorPlugin(PluginInterface):
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"""统计收集插件"""
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@property
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def name(self) -> str:
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return "指令记录"
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@property
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def version(self) -> str:
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return "1.0.0"
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@property
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def description(self) -> str:
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return "群聊指令数据记录"
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@property
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def author(self) -> str:
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return "Liuwei"
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@property
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def command_prefix(self) -> Optional[str]:
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return "#"
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@property
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def commands(self) -> List[str]:
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return []
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def __init__(self):
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super().__init__()
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self.LOG = logger
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self.LOG.debug(f"正在初始化 {self.name} 插件...")
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# 默认配置：
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# 1. 这个插件现在不再依赖事件总线，而是由主消息分发链路直接回调；
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# 2. 因此这里保留一份轻量配置，只控制“是否记录”和“排除哪些插件”；
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# 3. 这样既能延续原有统计面板数据结构，也能避免事件系统带来的额外复杂度。
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self.config = {
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"enable": True,
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"record_all_plugins": True, # 是否记录所有插件的调用
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"excluded_plugins": [], # 排除的插件列表
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}
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self.db_manager = DBConnectionManager.get_instance()
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self.stats_db = StatsDBOperator(self.db_manager)
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def initialize(self, context: Dict[str, Any]) -> bool:
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"""初始化插件"""
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# 这里显式只读取插件自己的配置，不再把 system_context 整体 merge 进来：
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# 1. 旧实现把 initialize 入参当成“插件配置”使用，但实际传入的是 system_context；
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# 2. 结果会把 db_manager、redis_pool 等运行时对象误写到 self.config 中；
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# 3. 改成只消费 load_config 后的 self._config，避免配置结构持续污染。
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if isinstance(self._config, dict):
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self.config.update(self._config)
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# 若主系统已经初始化了 DB 管理器，则优先复用统一实例，避免插件侧再走兜底单例。
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if isinstance(context, dict) and context.get("db_manager") is not None:
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self.db_manager = context.get("db_manager")
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self.stats_db = StatsDBOperator(self.db_manager)
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if not self.config["enable"]:
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self.LOG.info("统计收集插件已禁用")
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return False
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return True
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def record_plugin_call(
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self,
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*,
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plugin_name: str,
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command: str,
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user_id: str,
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group_id: Optional[str],
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is_group: bool,
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process_result: bool,
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process_time_ms: float,
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) -> None:
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"""由主链路直接调用，记录一次插件执行结果。"""
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# 主链路可能会在高频场景下频繁回调这里，因此先做最便宜的开关判断，
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# 避免对已关闭或被排除插件继续产生数据库写入成本。
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if not self._should_record_plugin(plugin_name):
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return
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try:
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self.stats_db.record_plugin_call(
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plugin_name=plugin_name,
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command=command,
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user_id=user_id,
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group_id=group_id if is_group else None,
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success=process_result,
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process_time_ms=process_time_ms,
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)
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self.LOG.debug(
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f"记录插件调用结束: {plugin_name} - {command} - 成功: {process_result} - 处理时间: {process_time_ms}ms"
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)
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except Exception as e:
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self.LOG.error(f"记录插件调用统计数据出错: {e}")
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def record_plugin_error(
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self,
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*,
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plugin_name: str,
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command: str,
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user_id: str,
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group_id: Optional[str],
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is_group: bool,
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error_message: str,
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stack_trace: Optional[str] = None,
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) -> None:
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"""由主链路直接调用，记录一次插件执行异常。"""
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if not self._should_record_plugin(plugin_name):
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return
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try:
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self.stats_db.record_error(
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plugin_name=plugin_name,
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command=command,
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user_id=user_id,
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group_id=group_id if is_group else None,
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error_message=error_message,
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stack_trace=stack_trace,
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)
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self.LOG.debug(f"记录插件调用错误: {plugin_name} - {command} - {error_message}")
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except Exception as e:
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self.LOG.error(f"记录插件错误信息出错: {e}")
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def _should_record_plugin(self, plugin_name: str) -> bool:
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"""检查是否应该记录该插件的调用"""
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if not self.config["record_all_plugins"]:
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return False
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if plugin_name in self.config["excluded_plugins"]:
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return False
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# 不记录自身的调用
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if plugin_name == self.name:
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return False
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return True
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def match_command(self, content: str) -> bool:
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"""匹配命令"""
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# 该插件不处理用户消息
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return False
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def process_message(self, message: Dict[str, Any]) -> Tuple[bool, str]:
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"""处理消息"""
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# 该插件不处理用户消息
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return False, ""
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def shutdown(self) -> None:
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"""关闭插件"""
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self.LOG.info("统计收集插件已关闭")
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def start(self) -> bool:
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"""启动插件"""
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self.LOG.debug(f"[{self.name}] 插件已启动")
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self.status = PluginStatus.RUNNING
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return True
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def stop(self) -> bool:
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"""停止插件"""
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self.LOG.info(f"[{self.name}] 插件已停止")
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self.status = PluginStatus.STOPPED
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return True
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