192 lines
5.2 KiB
TypeScript
192 lines
5.2 KiB
TypeScript
// 全局日志服务,使应用在任何页面都能收集日志
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import { create } from "zustand";
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import {
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fetchLogsViaIPC,
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startLogsStreaming,
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stopLogsStreaming,
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clearLogs as clearLogsIPC,
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} from "@/services/ipc-log-service";
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import dayjs from "dayjs";
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// 最大日志数量
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const MAX_LOG_NUM = 1000;
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export type LogLevel = "warning" | "info" | "debug" | "error" | "all";
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export interface ILogItem {
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time?: string;
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type: string;
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payload: string;
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[key: string]: any;
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}
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interface GlobalLogStore {
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logs: ILogItem[];
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enabled: boolean;
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isConnected: boolean;
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currentLevel: LogLevel;
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setEnabled: (enabled: boolean) => void;
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setCurrentLevel: (level: LogLevel) => void;
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clearLogs: () => void;
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appendLog: (log: ILogItem) => void;
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setLogs: (logs: ILogItem[]) => void;
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}
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// 创建全局状态存储
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export const useGlobalLogStore = create<GlobalLogStore>((set) => ({
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logs: [],
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enabled: false,
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isConnected: false,
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currentLevel: "info",
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setEnabled: (enabled) => set({ enabled }),
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setCurrentLevel: (currentLevel) => set({ currentLevel }),
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clearLogs: () => set({ logs: [] }),
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appendLog: (log: ILogItem) =>
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set((state) => {
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const newLogs =
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state.logs.length >= MAX_LOG_NUM
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? [...state.logs.slice(1), log]
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: [...state.logs, log];
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return { logs: newLogs };
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}),
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setLogs: (logs: ILogItem[]) => set({ logs }),
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}));
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// IPC 日志获取函数
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export const fetchLogsViaIPCPeriodically = async (
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logLevel: LogLevel = "info",
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) => {
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try {
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const logs = await fetchLogsViaIPC(logLevel);
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useGlobalLogStore.getState().setLogs(logs);
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console.log(`[GlobalLog-IPC] 成功获取 ${logs.length} 条日志`);
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} catch (error) {
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console.error("[GlobalLog-IPC] 获取日志失败:", error);
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}
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};
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// 初始化全局日志服务 (仅IPC模式)
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let ipcPollingInterval: number | null = null;
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let isInitializing = false; // 添加初始化标志
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export const initGlobalLogService = (
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enabled: boolean = false,
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logLevel: LogLevel = "info",
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) => {
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// 防止重复初始化
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if (isInitializing) {
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console.log("[GlobalLog-IPC] 正在初始化中,跳过重复调用");
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return;
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}
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const { setEnabled, setCurrentLevel } = useGlobalLogStore.getState();
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// 更新启用状态
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setEnabled(enabled);
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setCurrentLevel(logLevel);
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// 如果不启用,则不初始化
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if (!enabled) {
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clearIpcPolling();
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useGlobalLogStore.setState({ isConnected: false });
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return;
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}
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isInitializing = true;
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// 使用IPC流式模式
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console.log("[GlobalLog-IPC] 启用IPC流式日志服务");
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// 启动流式监控
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startLogsStreaming(logLevel);
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// 立即获取一次日志
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fetchLogsViaIPCPeriodically(logLevel);
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// 设置定期轮询来同步流式缓存的数据
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clearIpcPolling();
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ipcPollingInterval = setInterval(() => {
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fetchLogsViaIPCPeriodically(logLevel);
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}, 1000); // 每1秒同步一次流式缓存
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// 设置连接状态
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useGlobalLogStore.setState({ isConnected: true });
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isInitializing = false;
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};
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// 清除IPC轮询
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const clearIpcPolling = () => {
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if (ipcPollingInterval) {
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clearInterval(ipcPollingInterval);
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ipcPollingInterval = null;
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console.log("[GlobalLog-IPC] 轮询已停止");
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}
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};
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// 停止日志监控 (仅IPC模式)
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export const stopGlobalLogMonitoring = async () => {
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clearIpcPolling();
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isInitializing = false; // 重置初始化标志
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// 调用后端停止监控
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await stopLogsStreaming();
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useGlobalLogStore.setState({ isConnected: false });
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console.log("[GlobalLog-IPC] 日志监控已停止");
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};
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// 关闭全局日志连接 (仅IPC模式) - 保持向后兼容
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export const closeGlobalLogConnection = async () => {
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await stopGlobalLogMonitoring();
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};
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// 切换日志级别 (仅IPC模式)
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export const changeLogLevel = (level: LogLevel) => {
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const { enabled } = useGlobalLogStore.getState();
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useGlobalLogStore.setState({ currentLevel: level });
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// 如果正在初始化,则跳过,避免重复启动
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if (isInitializing) {
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console.log("[GlobalLog-IPC] 正在初始化中,跳过级别变更流启动");
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return;
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}
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if (enabled) {
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// IPC流式模式下重新启动监控
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startLogsStreaming(level);
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fetchLogsViaIPCPeriodically(level);
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}
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};
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// 切换启用状态 (仅IPC模式)
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export const toggleLogEnabled = async () => {
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const { enabled, currentLevel } = useGlobalLogStore.getState();
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const newEnabled = !enabled;
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useGlobalLogStore.setState({ enabled: newEnabled });
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if (newEnabled) {
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// IPC模式下直接启动
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initGlobalLogService(newEnabled, currentLevel);
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} else {
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await stopGlobalLogMonitoring();
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}
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};
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// 获取日志清理函数 - 只清理前端日志,不停止监控
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export const clearGlobalLogs = () => {
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useGlobalLogStore.getState().clearLogs();
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// 同时清理后端缓存的日志,但不停止监控
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clearLogsIPC();
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};
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// 自定义钩子,用于获取过滤后的日志数据
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export const useGlobalLogData = (logLevel: LogLevel = "all") => {
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const logs = useGlobalLogStore((state) => state.logs);
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// 日志已经在后端根据级别进行了过滤,这里直接返回所有日志
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// 不需要在前端再次过滤,避免重复过滤导致DEBUG日志丢失
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return logs;
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};
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