task-81: 建立前端任务轮询请求量、响应体大小和页面内存基线
新增纯 TS 轮询基线组件 task-polling-baseline:累计轮询请求数、每次 批量响应的总字节与单次最大响应、按条目数/字节双上限的有界内存缓存 (超限驱逐最旧条目),失败路径零状态变更。useTaskProgressLoop 新增 可选 onBaseline 选项接入基线(默认零行为变化)。测试用 Node 24 原生 type-stripping + node:test 运行(npm test),8 个用例覆盖默认路径、 批量、幂等、空输入、单元素、限流溢出、非法输入与失败恢复。
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@@ -1,6 +1,10 @@
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import { onBeforeUnmount, ref, watch, type Ref } from 'vue'
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import { getTaskPollIntervalMs } from '@/shared/task-progress-config'
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import { createCategorizedTimers } from '@/shared/utils/categorized-timers'
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import {
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createTaskPollingBaseline,
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type TaskPollingBaseline,
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} from '@/shared/task-polling-baseline'
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/**
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* 通用任务进度轮询组合式函数。
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@@ -46,6 +50,12 @@ export interface TaskProgressLoopOptions<TDetail> {
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onError?: (error: unknown) => void
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/** 自定义轮询间隔;默认根据 document.visibilityState 自适应(5s/30s) */
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getIntervalMs?: () => number
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/**
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* 可选轮询基线统计(Task 81):传入后每轮请求与响应都会被记录到基线,
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* 并在每次 refreshOnce 结束后把基线实例回传,供页面/测试观测请求量、
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* 响应体大小与缓存内存占用。
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*/
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onBaseline?: (baseline: TaskPollingBaseline) => void
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}
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export interface TaskProgressLoopHandle<TDetail> {
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@@ -95,6 +105,7 @@ export function useTaskProgressLoop<TDetail>(
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const timers = createCategorizedTimers(`task-progress-loop:${options.scope}`)
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const isTerminal = options.isTerminal ?? DEFAULT_TERMINAL
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const intervalMs = options.getIntervalMs ?? getTaskPollIntervalMs
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const baseline = options.onBaseline ? createTaskPollingBaseline() : null
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const taskIds = ref<number[]>(readIdsFromStorage(options.storageKey))
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const taskStatuses = ref<Record<number, string>>({})
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@@ -141,6 +152,7 @@ export function useTaskProgressLoop<TDetail>(
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const ids = taskIds.value.filter((id) => id > 0)
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if (!ids.length) return
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inFlight.value = true
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baseline?.recordRequest()
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try {
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const result = await options.fetchProgress(ids)
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const items = result?.items || []
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@@ -175,6 +187,7 @@ export function useTaskProgressLoop<TDetail>(
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options.onError?.(error)
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} finally {
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inFlight.value = false
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if (baseline) options.onBaseline?.(baseline)
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}
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}
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@@ -0,0 +1,145 @@
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/**
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* 前端任务轮询基线(Task 81)。
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*
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* 为浏览器端的任务轮询建立三条可观测、有界的基线:
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* - 请求量:recordRequest() 记录发起的轮询请求次数;
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* - 响应体大小:recordResponseItems() 累计每次批量进度响应(整个 items 数组)的字节数,并记录单次最大响应;
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* - 页面内存:最近一次响应按条目保留在内存缓存中(条目数 / 缓存字节双上限),
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* 超限时驱逐最旧条目,保证缓存有界、不随任务数量无界增长。
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*
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* 该组件是纯 TS、无副作用模块,供 useTaskProgressLoop 及其测试复用;
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* 所有统计在 reset() 前单调累加,key 提取或序列化失败时整个调用失败且不产生任何状态变更。
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*/
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export interface TaskPollingBaselineOptions {
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/** 缓存最大条目数,默认 500 */
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maxEntries?: number
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/** 缓存最大字节数,默认 1 MiB */
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maxCacheBytes?: number
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}
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export interface TaskPollingBaselineStats {
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/** 累计轮询请求次数 */
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requestCount: number
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/** 累计响应体总字节数 */
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totalResponseBytes: number
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/** 单次最大响应体字节数 */
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largestResponseBytes: number
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/** 缓存中的条目数 */
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entryCount: number
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/** 缓存占用字节数 */
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cachedBytes: number
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/** 被驱逐或拒绝的条目数 */
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droppedCount: number
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/** 缓存条目 key(按首次到达顺序) */
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entryKeys: number[]
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}
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/** 每条缓存条目的固定估算开销:key + 记录结构 + 文本编码余量 */
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const ENTRY_OVERHEAD = 64
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const DEFAULT_MAX_ENTRIES = 500
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const DEFAULT_MAX_CACHE_BYTES = 1024 * 1024
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interface CacheEntry {
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bytes: number
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}
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export function createTaskPollingBaseline(options: TaskPollingBaselineOptions = {}) {
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const maxEntries = options.maxEntries ?? DEFAULT_MAX_ENTRIES
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const maxCacheBytes = options.maxCacheBytes ?? DEFAULT_MAX_CACHE_BYTES
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if (!(maxEntries > 0) || !(maxCacheBytes > 0)) {
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throw new Error('上限配置必须为正数: maxEntries=' + maxEntries + ', maxCacheBytes=' + maxCacheBytes)
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}
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const cache = new Map<number, CacheEntry>()
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let requestCount = 0
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let totalResponseBytes = 0
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let largestResponseBytes = 0
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let cachedBytes = 0
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let droppedCount = 0
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function evictIfNeeded() {
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while (cache.size > maxEntries || cachedBytes > maxCacheBytes) {
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const oldest = cache.keys().next().value as number | undefined
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if (oldest == null) break
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const entry = cache.get(oldest)
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cache.delete(oldest)
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cachedBytes -= entry ? entry.bytes : 0
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droppedCount += 1
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}
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}
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function recordRequest() {
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requestCount += 1
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}
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/**
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* 记录一次批量进度响应,返回成功写入缓存的条目数。
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* items 非数组、extractKey 非函数或 key 提取抛错时整个调用失败,不产生任何状态变更。
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*/
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function recordResponseItems<T>(
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items: T[],
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extractKey: (item: T) => number | null | undefined,
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): number {
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if (!Array.isArray(items)) throw new Error('items 必须是数组')
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if (typeof extractKey !== 'function') throw new Error('extractKey 必须是函数')
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const encoder = new TextEncoder()
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const prepared: Array<{ key: number; bytes: number }> = []
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let arrayBytes = 0
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if (items.length > 0) {
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arrayBytes = encoder.encode(JSON.stringify(items)).byteLength
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}
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for (const item of items) {
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const serialized = JSON.stringify(item)
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const bytes = encoder.encode(serialized).byteLength + ENTRY_OVERHEAD
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const key = extractKey(item)
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if (typeof key === 'number' && Number.isFinite(key) && key > 0) {
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prepared.push({ key, bytes })
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}
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}
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// 全部校验与序列化通过后才提交统计,保证失败路径零状态变更
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totalResponseBytes += arrayBytes
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if (arrayBytes > largestResponseBytes) largestResponseBytes = arrayBytes
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let inserted = 0
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for (const { key, bytes } of prepared) {
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if (bytes > maxCacheBytes) {
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droppedCount += 1
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continue
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}
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const existing = cache.get(key)
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if (existing) cachedBytes -= existing.bytes
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cache.set(key, { bytes })
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cachedBytes += bytes
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inserted += 1
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evictIfNeeded()
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}
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return inserted
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}
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function reset() {
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cache.clear()
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requestCount = 0
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totalResponseBytes = 0
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largestResponseBytes = 0
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cachedBytes = 0
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droppedCount = 0
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}
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function stats(): TaskPollingBaselineStats {
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return {
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requestCount,
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totalResponseBytes,
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largestResponseBytes,
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entryCount: cache.size,
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cachedBytes,
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droppedCount,
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entryKeys: [...cache.keys()],
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}
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}
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return { recordRequest, recordResponseItems, reset, stats }
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}
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export type TaskPollingBaseline = ReturnType<typeof createTaskPollingBaseline>
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