mirror of
https://github.com/fawney19/Aether.git
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将模型配置从多个固定字段(description, official_url, icon_url, default_supports_* 等) 统一为灵活的 config JSON 字段,提高扩展性。同时优化前端模型创建表单,支持从 models-dev 列表直接选择模型快速填充。 主要变更: - 后端:模型表迁移,支持 config JSON 存储模型能力和元信息 - 前端:GlobalModelFormDialog 支持两种创建方式(列表选择/手动填写) - API 类型更新,对齐新的数据结构
594 lines
16 KiB
Vue
594 lines
16 KiB
Vue
<template>
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<div class="w-full h-full relative">
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<canvas ref="chartRef" />
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<div
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v-if="crosshairStats"
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class="absolute top-2 right-2 bg-gray-800/90 text-gray-100 px-3 py-2 rounded-lg text-sm shadow-lg border border-gray-600"
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>
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<div class="font-medium text-yellow-400">
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Y = {{ crosshairStats.yValue.toFixed(1) }} 分钟
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</div>
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<!-- 单个 dataset 时显示简单统计 -->
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<div
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v-if="crosshairStats.datasets.length === 1"
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class="mt-1"
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>
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<span class="text-green-400">{{ crosshairStats.datasets[0].belowCount }}</span> / {{ crosshairStats.datasets[0].totalCount }} 点在横线以下
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<span class="ml-2 text-blue-400">({{ crosshairStats.datasets[0].belowPercent.toFixed(1) }}%)</span>
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</div>
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<!-- 多个 dataset 时按模型分别显示 -->
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<div
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v-else
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class="mt-1 space-y-0.5"
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>
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<div
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v-for="ds in crosshairStats.datasets"
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:key="ds.label"
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class="flex items-center gap-2"
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>
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<div
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class="w-2 h-2 rounded-full flex-shrink-0"
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:style="{ backgroundColor: ds.color }"
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/>
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<span class="text-gray-300 truncate max-w-[80px]">{{ ds.label }}:</span>
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<span class="text-green-400">{{ ds.belowCount }}</span>/<span class="text-gray-400">{{ ds.totalCount }}</span>
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<span class="text-blue-400">({{ ds.belowPercent.toFixed(0) }}%)</span>
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</div>
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<!-- 总计 -->
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<div class="flex items-center gap-2 pt-1 border-t border-gray-600 mt-1">
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<span class="text-gray-300">总计:</span>
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<span class="text-green-400">{{ crosshairStats.totalBelowCount }}</span>/<span class="text-gray-400">{{ crosshairStats.totalCount }}</span>
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<span class="text-blue-400">({{ crosshairStats.totalBelowPercent.toFixed(1) }}%)</span>
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</div>
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</div>
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</div>
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</div>
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</template>
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<script setup lang="ts">
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import { ref, onMounted, onUnmounted, watch, nextTick, computed } from 'vue'
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import {
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Chart as ChartJS,
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LinearScale,
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PointElement,
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ScatterController,
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TimeScale,
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Title,
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Tooltip,
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Legend,
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type ChartData,
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type ChartOptions,
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type Plugin,
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type Scale
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} from 'chart.js'
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import 'chartjs-adapter-date-fns'
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const props = withDefaults(defineProps<Props>(), {
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height: 300,
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options: undefined,
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compressGaps: false,
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gapThreshold: 60, // 默认 60 分钟以上的间隙会被压缩
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compressedGapSize: 5 // 压缩后的间隙显示为 5 分钟
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})
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ChartJS.register(
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LinearScale,
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PointElement,
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ScatterController,
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TimeScale,
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Title,
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Tooltip,
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Legend
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)
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interface Props {
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data: ChartData<'scatter'>
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options?: ChartOptions<'scatter'>
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height?: number
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compressGaps?: boolean
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gapThreshold?: number // 间隙阈值(分钟)
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compressedGapSize?: number // 压缩后显示大小(分钟)
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}
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interface DatasetStats {
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label: string
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color: string
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belowCount: number
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totalCount: number
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belowPercent: number
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}
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interface CrosshairStats {
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yValue: number
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datasets: DatasetStats[]
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totalBelowCount: number
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totalCount: number
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totalBelowPercent: number
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}
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interface GapInfo {
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startX: number // 压缩后的 X 位置
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originalStart: Date
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originalEnd: Date
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duration: number // 间隙时长(毫秒)
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}
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const chartRef = ref<HTMLCanvasElement>()
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let chart: ChartJS<'scatter'> | null = null
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const crosshairY = ref<number | null>(null)
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const gapInfoList = ref<GapInfo[]>([])
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const crosshairStats = computed<CrosshairStats | null>(() => {
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if (crosshairY.value === null || !props.data.datasets) return null
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const datasetStats: DatasetStats[] = []
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let totalBelowCount = 0
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let totalCount = 0
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for (const dataset of props.data.datasets) {
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if (!dataset.data) continue
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let belowCount = 0
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let dsTotal = 0
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for (const point of dataset.data) {
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const p = point as { x: string; y: number }
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if (typeof p.y === 'number') {
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dsTotal++
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totalCount++
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if (p.y <= crosshairY.value) {
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belowCount++
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totalBelowCount++
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}
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}
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}
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if (dsTotal > 0) {
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datasetStats.push({
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label: dataset.label || 'Unknown',
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color: (dataset.backgroundColor as string) || 'rgba(59, 130, 246, 0.7)',
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belowCount,
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totalCount: dsTotal,
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belowPercent: (belowCount / dsTotal) * 100
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})
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}
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}
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if (totalCount === 0) return null
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return {
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yValue: crosshairY.value,
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datasets: datasetStats,
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totalBelowCount,
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totalCount,
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totalBelowPercent: (totalBelowCount / totalCount) * 100
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}
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})
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// 自定义非线性 Y 轴转换函数
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// 0-10 分钟占据 70% 的空间,10-120 分钟占据 30% 的空间
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const BREAKPOINT = 10 // 分界点:10 分钟
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const LOWER_RATIO = 0.7 // 0-10 分钟占 70% 空间
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// 将实际值转换为显示值(用于绘图)
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function toDisplayValue(realValue: number): number {
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if (realValue <= BREAKPOINT) {
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// 0-10 分钟线性映射到 0-70
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return realValue * (LOWER_RATIO * 100 / BREAKPOINT)
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} else {
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// 10-120 分钟映射到 70-100
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const upperRange = 120 - BREAKPOINT
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const displayUpperRange = (1 - LOWER_RATIO) * 100
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return LOWER_RATIO * 100 + ((realValue - BREAKPOINT) / upperRange) * displayUpperRange
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}
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}
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// 将显示值转换回实际值(用于读取鼠标位置)
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function toRealValue(displayValue: number): number {
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const breakpointDisplay = LOWER_RATIO * 100
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if (displayValue <= breakpointDisplay) {
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return displayValue / (LOWER_RATIO * 100 / BREAKPOINT)
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} else {
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const upperRange = 120 - BREAKPOINT
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const displayUpperRange = (1 - LOWER_RATIO) * 100
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return BREAKPOINT + ((displayValue - breakpointDisplay) / displayUpperRange) * upperRange
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}
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}
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// 压缩时间间隙的数据转换
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function compressTimeGaps(data: ChartData<'scatter'>): {
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data: ChartData<'scatter'>
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gaps: GapInfo[]
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timeMapping: Map<number, number> // 原始时间 -> 压缩后时间
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} {
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const gapThresholdMs = props.gapThreshold * 60 * 1000
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const compressedGapSizeMs = props.compressedGapSize * 60 * 1000
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// 收集所有数据点的时间戳并排序
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const allTimestamps: number[] = []
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for (const dataset of data.datasets) {
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for (const point of dataset.data as Array<{ x: string; y: number }>) {
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allTimestamps.push(new Date(point.x).getTime())
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}
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}
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allTimestamps.sort((a, b) => a - b)
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if (allTimestamps.length < 2) {
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return { data, gaps: [], timeMapping: new Map() }
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}
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// 找出所有大间隙
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const gaps: GapInfo[] = []
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const timeMapping = new Map<number, number>()
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let totalCompression = 0
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for (let i = 1; i < allTimestamps.length; i++) {
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const gap = allTimestamps[i] - allTimestamps[i - 1]
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if (gap > gapThresholdMs) {
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const compression = gap - compressedGapSizeMs
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gaps.push({
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startX: allTimestamps[i - 1] - totalCompression + compressedGapSizeMs / 2,
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originalStart: new Date(allTimestamps[i - 1]),
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originalEnd: new Date(allTimestamps[i]),
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duration: gap
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})
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totalCompression += compression
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}
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}
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// 构建时间映射
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let currentCompression = 0
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let gapIndex = 0
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for (const ts of allTimestamps) {
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// 检查是否跨过了某个间隙
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while (gapIndex < gaps.length && ts >= gaps[gapIndex].originalEnd.getTime()) {
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const gapDuration = gaps[gapIndex].originalEnd.getTime() - gaps[gapIndex].originalStart.getTime()
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currentCompression += gapDuration - compressedGapSizeMs
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gapIndex++
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}
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timeMapping.set(ts, ts - currentCompression)
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}
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// 更新间隙的 startX 为压缩后的坐标
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gapIndex = 0
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currentCompression = 0
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for (const gap of gaps) {
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gap.startX = gap.originalStart.getTime() - currentCompression + compressedGapSizeMs / 2
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const gapDuration = gap.originalEnd.getTime() - gap.originalStart.getTime()
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currentCompression += gapDuration - compressedGapSizeMs
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}
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// 转换数据
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const compressedData: ChartData<'scatter'> = {
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...data,
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datasets: data.datasets.map(dataset => ({
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...dataset,
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data: (dataset.data as Array<{ x: string; y: number }>).map(point => {
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const originalTs = new Date(point.x).getTime()
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const compressedTs = timeMapping.get(originalTs) ?? originalTs
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return {
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...point,
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x: new Date(compressedTs).toISOString(),
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_originalX: point.x // 保存原始时间
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}
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})
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}))
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}
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return { data: compressedData, gaps, timeMapping }
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}
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// 转换数据点的 Y 值
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function transformData(data: ChartData<'scatter'>): ChartData<'scatter'> {
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return {
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...data,
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datasets: data.datasets.map(dataset => ({
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...dataset,
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data: (dataset.data as Array<{ x: string; y: number; _originalX?: string }>).map(point => ({
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...point,
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y: toDisplayValue(point.y),
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_originalY: point.y // 保存原始值用于 tooltip
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}))
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}))
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}
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}
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// 格式化时长
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function formatDuration(ms: number): string {
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const hours = Math.floor(ms / (1000 * 60 * 60))
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const minutes = Math.floor((ms % (1000 * 60 * 60)) / (1000 * 60))
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if (hours > 0) {
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return `${hours}h${minutes > 0 ? `${minutes}m` : ''}`
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}
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return `${minutes}m`
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}
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const defaultOptions: ChartOptions<'scatter'> = {
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responsive: true,
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maintainAspectRatio: false,
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interaction: {
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mode: 'nearest',
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intersect: true
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},
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scales: {
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x: {
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type: 'time',
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time: {
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displayFormats: {
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hour: 'HH:mm'
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},
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tooltipFormat: 'HH:mm'
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},
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grid: {
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color: 'rgba(156, 163, 175, 0.1)'
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},
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ticks: {
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color: 'rgb(107, 114, 128)',
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maxRotation: 0,
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autoSkip: true,
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maxTicksLimit: 10
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}
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},
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y: {
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type: 'linear',
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min: 0,
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max: 100, // 显示值范围 0-100
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grid: {
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color: 'rgba(156, 163, 175, 0.1)'
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},
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ticks: {
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color: 'rgb(107, 114, 128)',
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// 自定义刻度值:在实际值 0, 2, 5, 10, 30, 60, 120 处显示
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callback(this: Scale, tickValue: string | number) {
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const displayVal = Number(tickValue)
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// 只在特定的显示位置显示刻度
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const targetTicks = [0, 2, 5, 10, 30, 60, 120]
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for (const target of targetTicks) {
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const targetDisplay = toDisplayValue(target)
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if (Math.abs(displayVal - targetDisplay) < 1) {
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return `${target}`
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}
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}
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return ''
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},
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stepSize: 5, // 显示值的步长
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autoSkip: false
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},
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title: {
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display: true,
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text: '间隔 (分钟)',
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color: 'rgb(107, 114, 128)'
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},
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afterBuildTicks(scale: Scale) {
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// 在特定实际值处设置刻度
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const targetTicks = [0, 2, 5, 10, 30, 60, 120]
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scale.ticks = targetTicks.map(val => ({
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value: toDisplayValue(val),
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label: `${val}`
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}))
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}
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}
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},
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plugins: {
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legend: {
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display: false
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},
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tooltip: {
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backgroundColor: 'rgb(31, 41, 55)',
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titleColor: 'rgb(243, 244, 246)',
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bodyColor: 'rgb(243, 244, 246)',
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borderColor: 'rgb(75, 85, 99)',
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borderWidth: 1,
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callbacks: {
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title: (contexts) => {
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if (contexts.length === 0) return ''
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const point = contexts[0].raw as { x: string; _originalX?: string }
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const timeStr = point._originalX || point.x
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const date = new Date(timeStr)
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return date.toLocaleString('zh-CN', {
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month: 'numeric',
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day: 'numeric',
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hour: '2-digit',
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minute: '2-digit'
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})
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},
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label: (context) => {
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const point = context.raw as { x: string; y: number; _originalY?: number }
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const realY = point._originalY ?? toRealValue(point.y)
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return `间隔: ${realY.toFixed(1)} 分钟`
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}
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}
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}
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},
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onHover: (event, _elements, chartInstance) => {
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const canvas = chartInstance.canvas
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if (!canvas) return
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const rect = canvas.getBoundingClientRect()
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const mouseY = (event.native as MouseEvent)?.clientY
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if (mouseY === undefined) {
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crosshairY.value = null
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return
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}
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const { chartArea, scales } = chartInstance
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const yScale = scales.y
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if (!chartArea || !yScale) return
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const relativeY = mouseY - rect.top
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if (relativeY < chartArea.top || relativeY > chartArea.bottom) {
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crosshairY.value = null
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} else {
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const displayValue = yScale.getValueForPixel(relativeY)
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// 转换回实际值
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crosshairY.value = displayValue !== undefined ? toRealValue(displayValue) : null
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}
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chartInstance.draw()
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}
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}
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// 修改 crosshairPlugin 使用显示值
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const crosshairPluginWithTransform: Plugin<'scatter'> = {
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id: 'crosshairLine',
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afterDraw: (chartInstance) => {
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if (crosshairY.value === null) return
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const { ctx, chartArea, scales } = chartInstance
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const yScale = scales.y
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if (!yScale || !chartArea) return
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// 将实际值转换为显示值再获取像素位置
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const displayValue = toDisplayValue(crosshairY.value)
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const yPixel = yScale.getPixelForValue(displayValue)
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if (yPixel < chartArea.top || yPixel > chartArea.bottom) return
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ctx.save()
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ctx.beginPath()
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ctx.moveTo(chartArea.left, yPixel)
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ctx.lineTo(chartArea.right, yPixel)
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ctx.strokeStyle = 'rgba(250, 204, 21, 0.8)'
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ctx.lineWidth = 2
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ctx.setLineDash([6, 4])
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ctx.stroke()
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ctx.restore()
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}
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}
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// 绘制间隙标记的插件
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const gapMarkerPlugin: Plugin<'scatter'> = {
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id: 'gapMarker',
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afterDraw: (chartInstance) => {
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if (gapInfoList.value.length === 0) return
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const { ctx, chartArea, scales } = chartInstance
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const xScale = scales.x
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if (!xScale || !chartArea) return
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ctx.save()
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for (const gap of gapInfoList.value) {
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const xPixel = xScale.getPixelForValue(gap.startX)
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if (xPixel < chartArea.left || xPixel > chartArea.right) continue
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// 绘制波浪线断点标记
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const waveHeight = 6
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const waveWidth = 8
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const y1 = chartArea.top
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const y2 = chartArea.bottom
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ctx.beginPath()
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ctx.strokeStyle = 'rgba(156, 163, 175, 0.5)'
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ctx.lineWidth = 1.5
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ctx.setLineDash([])
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// 绘制波浪线
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for (let y = y1; y < y2; y += waveHeight * 2) {
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ctx.moveTo(xPixel - waveWidth / 2, y)
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ctx.quadraticCurveTo(xPixel + waveWidth / 2, y + waveHeight, xPixel - waveWidth / 2, y + waveHeight * 2)
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||
}
|
||
ctx.stroke()
|
||
|
||
// 绘制间隙时长标签
|
||
ctx.fillStyle = 'rgba(107, 114, 128, 0.8)'
|
||
ctx.font = '10px sans-serif'
|
||
ctx.textAlign = 'center'
|
||
const label = formatDuration(gap.duration)
|
||
ctx.fillText(label, xPixel, chartArea.top - 4)
|
||
}
|
||
|
||
ctx.restore()
|
||
}
|
||
}
|
||
|
||
function handleMouseLeave() {
|
||
crosshairY.value = null
|
||
if (chart) {
|
||
chart.draw()
|
||
}
|
||
}
|
||
|
||
function createChart() {
|
||
if (!chartRef.value) return
|
||
|
||
let dataToUse = props.data
|
||
gapInfoList.value = []
|
||
|
||
// 如果启用间隙压缩
|
||
if (props.compressGaps) {
|
||
const { data: compressedData, gaps } = compressTimeGaps(props.data)
|
||
dataToUse = compressedData
|
||
gapInfoList.value = gaps
|
||
}
|
||
|
||
// 转换数据
|
||
const transformedData = transformData(dataToUse)
|
||
|
||
chart = new ChartJS(chartRef.value, {
|
||
type: 'scatter',
|
||
data: transformedData,
|
||
options: {
|
||
...defaultOptions,
|
||
...props.options
|
||
},
|
||
plugins: [crosshairPluginWithTransform, gapMarkerPlugin]
|
||
})
|
||
|
||
chartRef.value.addEventListener('mouseleave', handleMouseLeave)
|
||
}
|
||
|
||
function updateChart() {
|
||
if (chart) {
|
||
let dataToUse = props.data
|
||
gapInfoList.value = []
|
||
|
||
if (props.compressGaps) {
|
||
const { data: compressedData, gaps } = compressTimeGaps(props.data)
|
||
dataToUse = compressedData
|
||
gapInfoList.value = gaps
|
||
}
|
||
|
||
chart.data = transformData(dataToUse)
|
||
chart.update('none')
|
||
}
|
||
}
|
||
|
||
onMounted(async () => {
|
||
await nextTick()
|
||
createChart()
|
||
})
|
||
|
||
onUnmounted(() => {
|
||
if (chartRef.value) {
|
||
chartRef.value.removeEventListener('mouseleave', handleMouseLeave)
|
||
}
|
||
if (chart) {
|
||
chart.destroy()
|
||
chart = null
|
||
}
|
||
})
|
||
|
||
watch(() => props.data, updateChart, { deep: true })
|
||
watch(() => props.compressGaps, () => {
|
||
if (chart) {
|
||
chart.destroy()
|
||
chart = null
|
||
}
|
||
createChart()
|
||
})
|
||
watch(() => props.options, () => {
|
||
if (chart) {
|
||
chart.options = {
|
||
...defaultOptions,
|
||
...props.options
|
||
}
|
||
chart.update()
|
||
}
|
||
}, { deep: true })
|
||
</script>
|