mirror of
https://github.com/fawney19/Aether.git
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feat(health): 增加历史状态条指标 Tooltip
- 为健康监控时间轴返回 timeline_details 分段指标 - Hover 历史状态柱时展示总请求/成功/失败/可用率/状态 - 展示平均耗时/TTFB/速度和完整时间范围 - 修复历史状态柱 Tooltip 触发区域不可用的问题 - 补齐前端类型、详情抽屉透传和 mock 数据
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@@ -2,6 +2,7 @@
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<HealthStatusTimeline
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v-if="hasStatusTimeline"
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:timeline="monitor?.timeline"
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:timeline-details="monitor?.timeline_details"
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:time-range-start="monitor?.time_range_start"
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:time-range-end="monitor?.time_range_end"
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:lookback-hours="lookbackHours"
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@@ -21,8 +22,10 @@
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>
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<Tooltip>
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<TooltipTrigger as-child>
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<div
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class="flex-1 h-full rounded-sm transition-all duration-150 cursor-pointer hover:scale-y-110 hover:brightness-110"
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<button
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type="button"
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:title="segment.tooltip"
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class="h-full flex-1 cursor-pointer rounded-sm border-0 p-0 transition-all duration-150 hover:scale-y-110 hover:brightness-110 focus-visible:outline-none focus-visible:ring-1 focus-visible:ring-primary"
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:class="segment.color"
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/>
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</TooltipTrigger>
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@@ -50,7 +53,7 @@ import { computed } from 'vue'
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import type { EndpointStatusMonitor, EndpointHealthEvent, PublicEndpointStatusMonitor, PublicHealthEvent } from '@/api/endpoints'
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import { Tooltip, TooltipContent, TooltipProvider, TooltipTrigger } from '@/components/ui/tooltip'
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import HealthStatusTimeline from './HealthStatusTimeline.vue'
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import { formatTimestamp } from './health-monitor-utils'
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import { formatTimestamp, formatTimelineTooltip } from './health-monitor-utils'
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// 组件同时支持管理员端和用户端的监控数据类型
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// - EndpointStatusMonitor: 管理员端,包含 provider_count, key_count 等敏感信息
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@@ -72,21 +75,24 @@ const segments = computed(() => {
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const gridCount = props.segmentCount ?? GRID_COUNT
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const lookbackHours = props.lookbackHours ?? 6
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const events = props.monitor?.events ?? []
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// 无数据时显示空白格子
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if (events.length === 0) {
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return Array.from({ length: gridCount }, () => ({
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color: 'bg-gray-300 dark:bg-gray-600',
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tooltip: '暂无请求记录'
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}))
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}
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// 计算时间范围:使用 UTC 时间戳避免时区问题
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const nowUtc = Date.now()
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const startTimeUtc = nowUtc - lookbackHours * 60 * 60 * 1000
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const timeRange = lookbackHours * 60 * 60 * 1000
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const timePerGrid = timeRange / gridCount
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// 无数据时显示空白格子
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if (events.length === 0) {
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return Array.from({ length: gridCount }, (_, index) => {
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const cellStartTime = new Date(startTimeUtc + index * timePerGrid)
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const cellEndTime = new Date(startTimeUtc + (index + 1) * timePerGrid)
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return {
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color: 'bg-gray-300 dark:bg-gray-600',
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tooltip: buildSegmentTooltip('unknown', cellStartTime, cellEndTime, [])
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}
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})
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}
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// 计算时间范围:使用 UTC 时间戳避免时区问题
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const gridEvents: Array<Array<EndpointHealthEvent | PublicHealthEvent>> = Array.from({ length: gridCount }, () => [])
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for (const event of events) {
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@@ -107,7 +113,7 @@ const segments = computed(() => {
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if (cellEvents.length === 0) {
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result.push({
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color: 'bg-gray-300 dark:bg-gray-600',
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tooltip: `${formatTimestamp(cellStartTime.toISOString())} - ${formatTimestamp(cellEndTime.toISOString())}\n暂无请求记录`
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tooltip: buildSegmentTooltip('unknown', cellStartTime, cellEndTime, [])
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})
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continue
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}
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@@ -115,7 +121,12 @@ const segments = computed(() => {
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if (cellEvents.length === 1) {
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result.push({
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color: getStatusColor(cellEvents[0].status),
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tooltip: buildTooltip(cellEvents[0])
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tooltip: buildSegmentTooltip(
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getTimelineStatusFromEvents(cellEvents),
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cellStartTime,
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cellEndTime,
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cellEvents
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)
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})
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continue
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}
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@@ -138,11 +149,15 @@ const segments = computed(() => {
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color = 'bg-gray-300 dark:bg-gray-600'
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}
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const firstTime = formatTimestamp(cellEvents[0]?.timestamp)
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const lastTime = formatTimestamp(cellEvents[cellEvents.length - 1]?.timestamp)
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const tooltip = `${firstTime} - ${lastTime}\n共 ${total} 次请求\n成功: ${successCount}, 失败: ${failedCount}, 跳过: ${skippedCount}`
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result.push({ color, tooltip })
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result.push({
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color,
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tooltip: buildSegmentTooltip(
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getTimelineStatusFromEvents(cellEvents),
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cellStartTime,
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cellEndTime,
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cellEvents
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)
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})
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}
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return result
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@@ -163,30 +178,6 @@ function getStatusColor(status: string) {
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}
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}
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function buildTooltip(event: EndpointHealthEvent | PublicHealthEvent) {
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const time = formatTimestamp(event.timestamp)
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const statusText = getStatusText(event.status)
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const latency = event.latency_ms ? ` • ${event.latency_ms}ms` : ''
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const code = event.status_code ? ` • ${event.status_code}` : ''
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const error = event.error_type ? ` • ${event.error_type}` : ''
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return `${time} ${statusText}${latency}${code}${error}`
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}
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function getStatusText(status: string) {
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switch (status) {
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case 'success':
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return '成功'
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case 'failed':
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return '失败'
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case 'skipped':
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return '跳过'
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case 'started':
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return '执行中'
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default:
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return '未知'
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}
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}
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// 计算时间范围显示
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const earliestTime = computed(() => {
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const explicitStart =
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@@ -204,4 +195,51 @@ const latestTime = computed(() => {
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return formatTimestamp(new Date().toISOString())
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})
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function buildSegmentTooltip(
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status: string,
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cellStartTime: Date,
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cellEndTime: Date,
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cellEvents: Array<EndpointHealthEvent | PublicHealthEvent>
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) {
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const successCount = cellEvents.filter(event => event.status === 'success').length
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const failedCount = cellEvents.filter(event => event.status === 'failed').length
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const completedCount = successCount + failedCount
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const latencyValues = cellEvents
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.map(event => event.latency_ms)
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.filter((value): value is number => typeof value === 'number' && !Number.isNaN(value))
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const avgLatencyMs = latencyValues.length > 0
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? latencyValues.reduce((sum, value) => sum + value, 0) / latencyValues.length
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: null
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return formatTimelineTooltip({
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status,
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timeRangeStart: cellStartTime.toISOString(),
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timeRangeEnd: cellEndTime.toISOString(),
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metrics: {
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total_attempts: cellEvents.length,
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success_count: successCount,
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failed_count: failedCount,
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success_rate: completedCount > 0 ? successCount / completedCount : null,
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avg_latency_ms: avgLatencyMs,
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avg_first_byte_ms: null,
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avg_tps: null
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},
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entityLabel: '端点',
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entityName: props.monitor?.api_format
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})
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}
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function getTimelineStatusFromEvents(
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cellEvents: Array<EndpointHealthEvent | PublicHealthEvent>
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) {
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const successCount = cellEvents.filter(event => event.status === 'success').length
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const failedCount = cellEvents.filter(event => event.status === 'failed').length
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const completedCount = successCount + failedCount
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if (completedCount === 0) return 'unknown'
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const successRate = successCount / completedCount
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if (successRate >= 0.95) return 'healthy'
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if (successRate >= 0.7) return 'warning'
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return 'unhealthy'
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}
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</script>
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