refactor: optimize performance by centralizing state calculations and stabilizing virtual list data refs

This commit is contained in:
jxxghp
2026-05-13 22:01:13 +08:00
parent 3c926f7485
commit e62a0b5a8d
5 changed files with 234 additions and 210 deletions

View File

@@ -8,6 +8,16 @@ import { useI18n } from 'vue-i18n'
import { useBackgroundOptimization } from '@/composables/useBackgroundOptimization'
import CryptoJS from 'crypto-js'
type TransferTask = TransferQueue['tasks'][number]
interface MediaTaskGroup {
media: TransferQueue['media']
titleYear: string
tasks: TransferTask[]
total: number
completed: number
}
// 多语言支持
const { t } = useI18n()
const { useProgressSSE } = useBackgroundOptimization()
@@ -29,9 +39,6 @@ const overallProgress = ref({
// 文件进度映射
const fileProgressMap = ref<Map<string, { enable: boolean; value: number }>>(new Map())
// 数据可刷新标志
const refreshFlag = ref(false)
// 进度是否激活
const progressActive = ref(false)
@@ -58,49 +65,58 @@ function getStateColor(state: string) {
else return 'error'
}
// 从dataList中提取所有的媒体信息合并相同title_year的记录
const mediaList = computed(() => {
const mediaMap = new Map<string, any>()
// 按媒体聚合队列,避免模板中按 tab 重复扫描 dataList
const mediaTaskGroups = computed<MediaTaskGroup[]>(() => {
const groupMap = new Map<string, MediaTaskGroup>()
dataList.value.forEach(item => {
const titleYear = item.media.title_year || ''
if (!mediaMap.has(titleYear)) {
mediaMap.set(titleYear, item.media)
let group = groupMap.get(titleYear)
if (!group) {
group = {
media: item.media,
titleYear,
tasks: [],
total: 0,
completed: 0,
}
groupMap.set(titleYear, group)
}
group.tasks.push(...item.tasks)
group.total += item.tasks.length
group.completed += item.tasks.filter(task => task.state === 'completed').length
})
return Array.from(mediaMap.values())
return Array.from(groupMap.values())
})
// 从dataList中提取所有的媒体信息合并相同title_year的记录
const mediaList = computed(() => {
return mediaTaskGroups.value.map(group => group.media)
})
// 按media计算总数和完成数返回 x/x
function getMediaCount(title_year: string) {
// 按title_year查询出所有media列表
const medias = dataList.value.filter(item => item.media.title_year === title_year)
// 计算media下任务的总数
const total = medias.reduce((acc, cur) => acc + cur.tasks.length, 0)
// 计算media下任务的完成数
const completed = medias.reduce((acc, cur) => acc + cur.tasks.filter(task => task.state === 'completed').length, 0)
return `${completed} / ${total}`
const group = mediaTaskGroups.value.find(item => item.titleYear === title_year)
return `${group?.completed ?? 0} / ${group?.total ?? 0}`
}
// 根据媒体信息获取对应的整理任务合并相同title_year的所有任务
const activeTasks = computed(() => {
const tasks = dataList.value.filter(item => item.media.title_year === activeTab.value).flatMap(item => item.tasks)
return tasks
return mediaTaskGroups.value.find(item => item.titleYear === activeTab.value)?.tasks ?? []
})
// 根据媒体title_year获取对应的任务列表
function getTasksByMedia(title_year: string) {
return dataList.value.filter(item => item.media.title_year === title_year).flatMap(item => item.tasks)
return mediaTaskGroups.value.find(item => item.titleYear === title_year)?.tasks ?? []
}
// 计算整体进度
const overallProgressComputed = computed(() => {
if (dataList.value.length === 0) return 0
const allTasks = dataList.value.flatMap(item => item.tasks)
const totalTasks = allTasks.length
const completedTasks = allTasks.filter(task => task.state === 'completed').length
const totalTasks = mediaTaskGroups.value.reduce((total, group) => total + group.total, 0)
const completedTasks = mediaTaskGroups.value.reduce((total, group) => total + group.completed, 0)
return totalTasks > 0 ? (completedTasks / totalTasks) * 100 : 0
})