minigame-std
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Cross-platform standard library for WeChat minigame and web browsers with unified APIs for crypto, fs, fetch, storage, and more.
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{"version":3,"file":"logger.mjs","names":[],"sources":["../src/std/logger/helpers.ts","../src/std/logger/logger_core.ts","../src/std/logger/plugins/file_logger.ts","../src/std/logger/plugins/mina_logger.ts"],"sourcesContent":["/**\n * 日志系统工具函数。\n *\n * @internal\n */\n\nimport type { LogLevel } from './defines.ts';\n\n// #region Internal Variables\n\nconst LOG_LEVEL_INDEX: Record<LogLevel, number> = { debug: 0, info: 1, warn: 2, error: 3 };\n\n// #endregion\n\n/**\n * 判断给定级别是否满足最低级别要求。\n *\n * @param entryLevel - 日志条目的级别。\n * @param minLevel - 最低允许的级别。\n * @returns `entryLevel >= minLevel` 时返回 `true`。\n */\nexport function shouldLog(entryLevel: LogLevel, minLevel: LogLevel): boolean {\n return LOG_LEVEL_INDEX[entryLevel] >= LOG_LEVEL_INDEX[minLevel];\n}\n\n/**\n * 将日志参数列表转为消息字符串。\n *\n * 单参数直接序列化，多参数用空格拼接，避免不必要的 map/join 开销。\n */\nexport function buildMessage(args: unknown[]): string {\n return args.length === 1\n ? stringifyArg(args[0])\n : args.map(stringifyArg).join(' ');\n}\n\n// #region Internal Functions\n\n/**\n * 将单个参数转为字符串。\n *\n * string 原样返回；bigint 转 `` `${value}n` ``；object 尝试 JSON 序列化\n *（含 BigInt replacer fallback）；其余用 String()。\n */\nfunction stringifyArg(arg: unknown): string {\n if (typeof arg === 'bigint') {\n return `${arg}n`;\n }\n\n if (typeof arg === 'object' && arg !== null) {\n try {\n return JSON.stringify(arg, (_, v) =>\n typeof v === 'bigint' ? `${v}n` : v,\n );\n } catch {\n // 循环引用等，最终 fallback\n return String(arg);\n }\n }\n\n return String(arg);\n}\n\n// #endregion\n","/**\n * 日志系统核心逻辑：单例状态管理、日志流水线、插件调度。\n */\n\nimport { Lazy } from 'happy-rusty';\nimport type {\n LogFilter,\n LoggerConfig,\n LoggerPlugin,\n LogLevel,\n PluginContext,\n} from './defines.ts';\nimport { shouldLog } from './helpers.ts';\n\n// #region Internal Variables\n\n/**\n * Console 方法映射。\n *\n * `.bind(console)` 防止直接传递方法引用时 `this` 上下文丢失。\n */\nconst CONSOLE_FN: Record<LogLevel, (...args: unknown[]) => void> = {\n 'debug': console.debug.bind(console),\n 'info': console.info.bind(console),\n 'warn': console.warn.bind(console),\n 'error': console.error.bind(console),\n};\n\n/**\n * 全局单例状态（懒初始化）。\n */\nlet lazyState = /*#__PURE__*/ Lazy(() => createDefaultState());\n\n// #endregion\n\n/**\n * 初始化日志系统。\n *\n * @param config - 日志系统配置。\n * @since 2.6.0\n * @example\n * ```ts\n * const file = fileLog({ level: 'debug' });\n * logger.init({ plugins: [file, wxLog({ level: 'warn' })] });\n * ```\n */\nexport function init(config: LoggerConfig = {}): void {\n // 清理旧插件资源（不触发默认 state 创建）\n lazyState.get().inspect(state => {\n for (const plugin of state.plugins) {\n plugin.onDestroy?.();\n }\n });\n\n const level = config.level ?? 'info';\n const plugins = config.plugins ?? [];\n\n const ctx: PluginContext = { globalLevel: level, filter: config.filter };\n\n // 调用每个 plugin 的 onInit\n for (const plugin of plugins) {\n plugin.onInit?.(ctx);\n }\n\n const newState: LoggerState = {\n console: {\n enabled: config.console?.enabled ?? true,\n level: config.console?.level ?? level,\n filter: config.filter,\n },\n plugins,\n };\n\n lazyState = Lazy(() => newState);\n\n // 拦截全局 console（不提供 restore，如需 restore 请用独立 injectConsole 函数）\n if (config.injectConsole) {\n injectConsole();\n }\n}\n\n/**\n * 输出 debug 级别日志。\n * @since 2.6.0\n */\nexport function debug(...args: unknown[]): void {\n dispatchLog('debug', ...args);\n}\n\n/**\n * 输出 info 级别日志。\n * @since 2.6.0\n */\nexport function info(...args: unknown[]): void {\n dispatchLog('info', ...args);\n}\n\n/**\n * 输出 warn 级别日志。\n * @since 2.6.0\n */\nexport function warn(...args: unknown[]): void {\n dispatchLog('warn', ...args);\n}\n\n/**\n * 输出 error 级别日志。\n * @since 2.6.0\n */\nexport function error(...args: unknown[]): void {\n dispatchLog('error', ...args);\n}\n\n/**\n * 拦截全局 `console` 方法，将其重定向到 logger。\n *\n * 调用后，`console.debug`/`info`/`warn`/`error`（以及 `console.log`）会经过\n * logger 的 `dispatchLog`，触发插件 pipeline（如 `fileLog`）。\n *\n * logger 自身的 console 输出使用模块加载时捕获的原始方法（`CONSOLE_FN`），\n * 不会递归。\n *\n * @returns restore 函数，调用后恢复原始 `console` 方法。\n * @since 2.6.0\n * @example\n * ```ts\n * logger.init({ plugins: [fileLog()] });\n * const restore = injectConsole();\n * // 之后所有 console.info(...) 会走 logger pipeline\n * console.info('App started'); // → file 写入 + console 输出\n * restore(); // 需要时恢复\n * ```\n */\nexport function injectConsole(): () => void {\n const original = {\n log: console.log,\n debug: console.debug,\n info: console.info,\n warn: console.warn,\n error: console.error,\n };\n\n // console.log 映射到 info 级别（console.log ≈ console.info）\n console.log = (...args: unknown[]) => info(...args);\n console.debug = (...args: unknown[]) => debug(...args);\n console.info = (...args: unknown[]) => info(...args);\n console.warn = (...args: unknown[]) => warn(...args);\n console.error = (...args: unknown[]) => error(...args);\n\n return () => {\n console.log = original.log;\n console.debug = original.debug;\n console.info = original.info;\n console.warn = original.warn;\n console.error = original.error;\n };\n}\n\n// #region Internal Types\n\n/**\n * 日志系统运行时状态。\n *\n * 封装控制台输出配置、过滤器和插件列表。通过 init 创建，仅供模块内部使用。\n */\ninterface LoggerState {\n console: {\n enabled: boolean;\n level: LogLevel;\n filter?: LogFilter;\n };\n plugins: LoggerPlugin[];\n}\n\n// #endregion\n\n// #region Internal Functions\n\nfunction createDefaultState(): LoggerState {\n return {\n console: {\n enabled: true,\n level: 'info',\n },\n plugins: [],\n };\n}\n\n/**\n * 统一的日志分发入口。\n *\n * 控制台和插件均接收原始参数，由各消费端自行决定如何格式化或过滤。\n */\nfunction dispatchLog(level: LogLevel, ...args: unknown[]): void {\n const state = lazyState.force();\n\n // 1. 控制台输出\n if (state.console.enabled\n && shouldLog(level, state.console.level)\n && (!state.console.filter || state.console.filter(level, ...args))) {\n CONSOLE_FN[level](...args);\n }\n\n // 2. 插件回调\n for (const plugin of state.plugins) {\n plugin.onLog?.(level, ...args);\n }\n}\n\n// #endregion\n","/**\n * 文件日志插件：fileLog 工厂，提供缓冲写入、日志分割（period + size）、旧文件清理。\n */\n\nimport { gzipSync } from 'fflate/browser';\nimport type { AsyncIOResult } from 'happy-rusty';\nimport { encodeUtf8 } from '../../codec/mod.ts';\nimport { addHideListener } from '../../event/mod.ts';\nimport {\n appendFile,\n readDir,\n readFile,\n remove,\n stat,\n writeFile,\n} from '../../fs/mod.ts';\nimport type {\n LogEntry,\n LogFilter,\n LogFormatter,\n LoggerPlugin,\n LogLevel,\n PluginContext,\n} from '../defines.ts';\nimport { buildMessage, shouldLog } from '../helpers.ts';\nimport type { PluginConfigBase } from './defines.ts';\n\n// #region Internal Variables\n\n/**\n * 默认日志文件根目录。\n */\nconst DEFAULT_ROOT_DIR = '/.minigame-std-logs';\n\n/**\n * 日志级别标签。\n */\nconst LEVEL_LABELS: Record<LogLevel, string> = {\n debug: 'DEBUG',\n info: 'INFO ',\n warn: 'WARN ',\n error: 'ERROR',\n};\n\n// #endregion\n\n/**\n * 日志分割（split）配置。\n *\n * @since 2.6.0\n */\nexport interface FileSplitConfig {\n /**\n * 日志文件分割的时间粒度（毫秒）。\n *\n * 同一 period 内的日志写入同一个文件，到期自动切换。\n *\n * @defaultValue `3600000`（1 小时）\n */\n period?: number;\n /**\n * 单个日志文件最大大小（字节）。\n *\n * @defaultValue `10 * 1024 * 1024`（10MB）\n */\n maxSize?: number;\n /**\n * 最多保留的日志文件数。\n *\n * @defaultValue `24`（period 为 1 小时时即一天的日志量）\n */\n maxCount?: number;\n /**\n * 文件最大保留时间（毫秒），创建时间超过此值的文件将被删除。\n *\n * 与 `maxCount` 叠加：先按时间过期删除，剩余文件若仍超 `maxCount` 再按数量删最旧的。\n *\n * @defaultValue `undefined`（不按时间清理）\n */\n maxAge?: number;\n /**\n * 是否使用 UTF-8 字节数计算文件大小（`true`）而非字符数（`false`）。\n *\n * @defaultValue `false`\n */\n useByteSize?: boolean;\n /**\n * 是否在切分时压缩旧日志文件（`.log` → `.log.gz`）。\n *\n * 压缩后原始 `.log` 被删除，压缩是 fire-and-forget，不阻塞日志写入。\n * 注意：压缩后文件变为 `.log.gz`，读取/合并时需先解压。\n * `maxCount` 为 1 时压缩产物 `.log.gz` 会临时占用额外名额，建议 `maxCount >= 2`。\n *\n * @defaultValue `false`\n */\n compress?: boolean;\n}\n\n/**\n * 文件插件配置。\n *\n * @since 2.6.0\n */\nexport interface FilePluginConfig extends PluginConfigBase {\n /**\n * 日志格式化器。\n *\n * @defaultValue `defaultFormatter`（`[时间] [级别] 消息\\n`）\n */\n formatter?: LogFormatter;\n /**\n * 日志文件根目录。\n *\n * @defaultValue `'/.minigame-std-logs'`\n */\n rootDir?: string;\n /**\n * 日志分割配置。\n */\n split?: FileSplitConfig;\n /**\n * 缓冲区最大条目数，达到后触发 flush。\n *\n * @defaultValue `100`\n */\n maxBufferSize?: number;\n /**\n * 定时 flush 间隔（毫秒），`0` 表示仅靠缓冲区阈值触发。\n *\n * @defaultValue `5000`\n */\n flushInterval?: number;\n}\n\n/**\n * 日志文件查询条件。\n *\n * @since 2.6.0\n */\nexport interface LogFileQuery {\n /**\n * 起始时间戳（毫秒，含）。按文件创建时间（文件名时间戳）筛选。\n */\n from?: number;\n /**\n * 结束时间戳（毫秒，含）。按文件创建时间（文件名时间戳）筛选。\n */\n to?: number;\n}\n\n/**\n * 文件插件 API 接口。\n *\n * @since 2.6.0\n */\nexport interface FilePluginAPI extends LoggerPlugin {\n /**\n * 立即将缓冲区内容写入文件，并等待所有在途写入完成。\n *\n * 写入失败不会 reject，也不会返回错误（错误由内部统一处理）。\n */\n flush(): Promise<void>;\n /**\n * 获取日志文件列表，可按文件创建时间筛选。\n *\n * 返回完整路径（`rootDir/文件名.log`），结果按文件名排序。\n * 文件名无法解析时间戳的文件不受 `query` 过滤，始终包含在结果中。\n */\n getFiles(query?: LogFileQuery): AsyncIOResult<string[]>;\n /**\n * 获取日志文件根目录。\n */\n getRootDir(): string;\n}\n\n/**\n * 创建文件日志插件。\n *\n * 插件在创建时即完成初始化（恢复/创建活跃文件、启动定时 flush、注册切后台监听），\n * 因此即使不传给 `logger.init()` 也能独立工作。传给 `logger.init()` 后，\n * `onInit` 会用全局配置（`level`/`filter`）refinement 自身配置。\n *\n * **注意**：`onInit`/`onLog` 由 logger 核心调度，不应手动调用。\n *\n * @param config - 文件插件配置。\n * @returns 支持 LoggerPlugin 和文件管理 API 的插件实例。\n * @since 2.6.0\n * @example\n * ```ts\n * const file = fileLog({ level: 'debug' });\n * logger.init({ plugins: [file] });\n * await file.flush();\n * ```\n */\nexport function fileLog(config: FilePluginConfig = {}): FilePluginAPI {\n // ── 解析配置 ──\n const rootDir = config.rootDir ?? DEFAULT_ROOT_DIR;\n const split = {\n period: config.split?.period ?? 3600000,\n maxSize: config.split?.maxSize ?? 10 * 1024 * 1024,\n maxCount: config.split?.maxCount ?? 24,\n maxAge: config.split?.maxAge,\n useByteSize: config.split?.useByteSize ?? false,\n compress: config.split?.compress ?? false,\n };\n const maxBufferSize = config.maxBufferSize ?? 100;\n const flushInterval = config.flushInterval ?? 5000;\n\n // ── 运行时状态（创建即用 config 初始化，不依赖 onInit）──\n // buffer 存预格式化结果，避免 flush 时重复格式化\n const buffer: BufferedEntry[] = [];\n let level: LogLevel = config.level ?? 'info';\n let filter: LogFilter | null | undefined = config.filter;\n const formatter: LogFormatter = config.formatter ?? defaultFormatter;\n // 默认用当前时间戳做文件名，resumeOrCreate 可能改为续写\n let currentFile = newLogPath();\n // 同步累加：writeEntry 时即计入，appendFile 失败会导致 size 偏大但不回滚\n let currentFileSize = 0;\n let currentFileStartTime = Date.now();\n // 定时 flush 定时器，onDestroy 时清理\n let flushTimer: ReturnType<typeof setInterval> | null = null;\n // 切后台监听移除器，onDestroy 时清理\n let hideListenerRemover: (() => void) | null = null;\n\n // init 异步过程中暂存日志（带原始 timestamp），完成后回放\n const pending: [LogLevel, unknown[], number][] = [];\n let initPromise: Promise<void> | null = null;\n\n // fire-and-forget 的在途 append，flush() 等待它们完成\n const inFlight = new Set<Promise<void>>();\n // 当前 prune 链的 Promise，null 表示无 prune 在跑\n // 多次 schedulePrune 调用串行链接（chain），避免并发 prune 的重复 IO\n let prunePromise: Promise<void> | null = null;\n\n // 时间戳对应的 period 序号\n function periodIndex(ts: number): number {\n return Math.floor(ts / split.period);\n }\n\n // 时间戳是否在当前或未来的 period 内（>= 兼容时间回拨，保证最新日志写最新文件）\n function inCurrentPeriod(ts: number): boolean {\n return periodIndex(ts) >= periodIndex(Date.now());\n }\n\n // 当前活跃文件是否已离开 period\n function isFileExpired(): boolean {\n return !inCurrentPeriod(currentFileStartTime);\n }\n\n // 创建新日志文件路径（ISO 时间戳命名，永不碰撞）\n function newLogPath(): string {\n return `${rootDir}/${toLogName()}`;\n }\n\n // 同步切文件：重置文件路径、period 起点、size\n function newFile(): void {\n if (split.compress && currentFileSize > 0) {\n // currentFile 是 string，传参时值已复制，后续 reassign 不影响\n // Promise.all 调用时同步迭代 inFlight，调用后的新增 append 不影响\n void compressOldFile(currentFile, inFlight)\n .catch(() => {\n // 压缩失败——原始 .log 仍存在，下次 prune 清理\n });\n }\n currentFile = newLogPath();\n currentFileStartTime = Date.now();\n currentFileSize = 0;\n void schedulePrune();\n }\n\n // 触发当前 buffer 的 flush（fire-and-forget）\n // 同步 splice + 快照 targetFile，appendFile 并发安全\n function flushCurrent(): void {\n if (buffer.length === 0) return;\n\n const entries = buffer.splice(0);\n const content = entries.map(e => e.formatted).join('');\n\n const p = appendFile(currentFile, content)\n .then(() => {\n // 不关心返回值\n })\n .finally(() => {\n // 无论成功失败，都从 inFlight 移除自己\n inFlight.delete(p);\n })\n .catch(() => {\n // 吞掉意外 rejection，保证 flush() 的 Promise.all 不被 reject\n });\n\n inFlight.add(p);\n\n // 重置定时器，避免刚 flush 后短时间内又触发低效写入\n if (flushTimer != null) {\n clearInterval(flushTimer);\n flushTimer = setInterval(flushCurrent, flushInterval);\n }\n }\n\n // 调度 prune：串行链接（chain），避免并发 prune 的重复 IO\n // 每次调用链接到前一个 prune 之后，先等在途 append 完成再读目录\n function schedulePrune(): Promise<void> {\n const prev = prunePromise;\n const p = (prev ?? Promise.resolve())\n .then(() => Promise.all(inFlight))\n .then(tryReadLogFiles)\n .then(pruneOldFiles)\n .catch(() => {\n // 吞掉意外 rejection，防止 unhandled rejection\n })\n .finally(() => {\n // 只有最后一个链才清除，中间链不清除（已被新链覆盖）\n if (prunePromise === p) {\n prunePromise = null;\n }\n });\n prunePromise = p;\n return p;\n }\n\n // 读取目录下排序后的日志文件名列表（含 .log 和 .log.gz）\n async function readLogFiles(): AsyncIOResult<string[]> {\n const dirResult = await readDir(rootDir);\n return dirResult.map(files => files\n .filter(n => n.endsWith('.log') || n.endsWith('.log.gz'))\n .sort(),\n );\n }\n\n // readLogFiles 的便利包装：错误时返回空数组（调用方按\"无文件\"处理）\n async function tryReadLogFiles(): Promise<string[]> {\n return (await readLogFiles()).unwrapOr([]);\n }\n\n // 清理超量旧文件：按文件名排序，保留最新的 maxCount 个\n // best-effort：失败不处理，下次切文件时会重试\n // logFiles 由调用方通过 tryReadLogFiles 预先读取（避免隐藏 IO）\n // logFiles 已排序（oldest first），先按 maxAge 过期删除，剩余若超 maxCount 再删最旧的\n async function pruneOldFiles(logFiles: string[]): Promise<void> {\n if (logFiles.length === 0) return;\n\n const { maxAge, maxCount } = split;\n\n // currentFile 可能还没落盘（newFile 刚创建），不在 logFiles 中\n // 但它即将写入磁盘，需要为其预留一个 maxCount 名额\n const currentFileName = currentFile.substring(rootDir.length + 1);\n const reserveActive = !logFiles.includes(currentFileName);\n const effectiveMaxCount = reserveActive ? maxCount - 1 : maxCount;\n\n // 无 maxAge 且未超 effectiveMaxCount，直接返回\n if (maxAge == null && logFiles.length <= effectiveMaxCount) return;\n\n const now = Date.now();\n const toDelete: string[] = [];\n let remaining: string[];\n\n // 1. 按时间过期删除（maxAge）\n if (maxAge != null) {\n remaining = [];\n for (const name of logFiles) {\n const ts = parseTimestamp(name);\n if (ts != null && now - ts > maxAge) {\n toDelete.push(name);\n } else {\n remaining.push(name);\n }\n }\n } else {\n remaining = logFiles;\n }\n\n // 2. 剩余文件若仍超 effectiveMaxCount，删最旧的（remaining 保持有序）\n if (remaining.length > effectiveMaxCount) {\n const excess = remaining.slice(0, remaining.length - effectiveMaxCount);\n toDelete.push(...excess);\n }\n\n if (toDelete.length === 0) return;\n\n await Promise.all(toDelete.map(name => remove(`${rootDir}/${name}`)));\n }\n\n // 将过滤后的日志条目加入缓冲，同步决策切分 + 累加 size\n function writeEntry(level: LogLevel, args: unknown[], timestamp: number = Date.now()): void {\n const entry: LogEntry = { timestamp, level, message: buildMessage(args) };\n const formatted = formatter(entry);\n const entryLen = split.useByteSize ? encodeUtf8(formatted).length : formatted.length;\n\n // 写入前决策：period 过期或超限 → 先 flush 旧 buffer 到旧文件，再切新文件\n if (isFileExpired() || currentFileSize + entryLen > split.maxSize) {\n flushCurrent();\n newFile();\n }\n\n buffer.push({ entry, formatted });\n currentFileSize += entryLen;\n\n if (buffer.length >= maxBufferSize) {\n flushCurrent();\n }\n }\n\n // 启动定时 flush，flushInterval 为 0 时仅靠 buffer 阈值触发\n // timer 存储到 flushTimer，onDestroy 时 clearInterval\n function startAutoFlush(): void {\n if (flushInterval > 0) {\n flushTimer = setInterval(flushCurrent, flushInterval);\n }\n }\n\n // 查找当前 period 内的文件续写（检查最新文件的 mtime），没有则创建新文件\n // 同时清理超量旧文件（复用已读取的 logFiles，避免二次 readDir）\n // 用 mtime 而非文件名时间戳：防篡改；同一 period 内创建时间和 mtime 必定同 period\n async function resumeOrCreate(): Promise<void> {\n const logFiles = await tryReadLogFiles();\n // 只考虑未压缩的 .log 文件用于续写（不能 append 到 .log.gz）\n const resumable = logFiles.filter(n => n.endsWith('.log'));\n\n if (resumable.length === 0) {\n newFile();\n } else {\n // 检查最新文件的 mtime 是否在当前 period 内\n const latestPath = `${rootDir}/${resumable[resumable.length - 1]}`;\n const statResult = await stat(latestPath);\n if (statResult.isOkAnd(x => inCurrentPeriod(x.lastModifiedTime))) {\n const s = statResult.unwrap();\n currentFile = latestPath;\n currentFileStartTime = s.lastModifiedTime;\n currentFileSize = s.size;\n } else {\n newFile();\n }\n }\n\n // 清理超量文件（复用 logFiles 含 .log.gz，避免二次 readDir）\n await pruneOldFiles(logFiles);\n }\n\n // ── 启动初始化（创建即就绪，不依赖 onInit）──\n // 查找或创建活跃文件（同时清理超量旧文件）→ 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wx.getLogManager 没有 error 方法，故降级为 warn\n manager.warn(`[ERROR] ${message}`);\n break;\n }\n },\n 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