feat: enhance usage analytics dashboard (#666)

- visualize input, output, and cache token segments in usage charts
- add usage period selector for 7d, 30d, 90d, and 365d
- guard usage stats against stale overlapping period requests
- normalize blank model usage into unknown buckets
- add client and server coverage for usage analytics behavior
This commit is contained in:
Zhicheng Han
2026-05-13 01:41:49 +02:00
committed by GitHub
parent 57cdf87bef
commit c2068302c3
18 changed files with 683 additions and 113 deletions
@@ -25,7 +25,7 @@ function cacheHitRate(d: { input_tokens: number; cache_read_tokens: number }): s
} }
const maxTokens = computed(() => const maxTokens = computed(() =>
Math.max(...usageStore.dailyUsage.map(d => d.input_tokens + d.output_tokens), 1), Math.max(...usageStore.dailyUsage.map(d => d.visualTokens), 1),
) )
</script> </script>
@@ -41,12 +41,25 @@ const maxTokens = computed(() =>
> >
<div class="bar-track"> <div class="bar-track">
<div <div
class="bar-fill" class="bar-stack"
:style="{ :style="{ height: (d.visualTokens / maxTokens * 100) + '%' }"
height: ((d.input_tokens + d.output_tokens) / maxTokens * 100) + '%', >
'--output-pct': (d.output_tokens / Math.max(d.input_tokens + d.output_tokens, 1) * 100) + '%', <div
}" v-if="d.output_tokens > 0"
/> class="bar-segment output"
:style="{ height: d.outputPercent + '%' }"
/>
<div
v-if="d.input_tokens > 0"
class="bar-segment input"
:style="{ height: d.inputPercent + '%' }"
/>
<div
v-if="d.cache_read_tokens > 0"
class="bar-segment cache"
:style="{ height: d.cachePercent + '%' }"
/>
</div>
</div> </div>
<div class="bar-tooltip"> <div class="bar-tooltip">
<div class="tooltip-date">{{ d.date }}</div> <div class="tooltip-date">{{ d.date }}</div>
@@ -65,6 +78,12 @@ const maxTokens = computed(() =>
<span>{{ usageStore.dailyUsage[usageStore.dailyUsage.length - 1]?.date.slice(5) }}</span> <span>{{ usageStore.dailyUsage[usageStore.dailyUsage.length - 1]?.date.slice(5) }}</span>
</div> </div>
<div class="chart-legend" aria-label="Token type legend">
<div class="legend-item"><span class="legend-swatch input" />{{ t('usage.inputTokens') }}</div>
<div class="legend-item"><span class="legend-swatch output" />{{ t('usage.outputTokens') }}</div>
<div class="legend-item"><span class="legend-swatch cache" />{{ t('usage.cacheRead') }}</div>
</div>
<div class="trend-table"> <div class="trend-table">
<table> <table>
<thead> <thead>
@@ -80,7 +99,7 @@ const maxTokens = computed(() =>
</tr> </tr>
</thead> </thead>
<tbody> <tbody>
<tr v-for="d in [...usageStore.dailyUsage].reverse().slice(0, 30)" :key="d.date"> <tr v-for="d in [...usageStore.dailyUsage].reverse()" :key="d.date">
<td>{{ d.date }}</td> <td>{{ d.date }}</td>
<td>{{ formatTokens(d.input_tokens) }}</td> <td>{{ formatTokens(d.input_tokens) }}</td>
<td>{{ formatTokens(d.output_tokens) }}</td> <td>{{ formatTokens(d.output_tokens) }}</td>
@@ -135,21 +154,38 @@ const maxTokens = computed(() =>
border-radius: 2px 2px 0 0; border-radius: 2px 2px 0 0;
display: flex; display: flex;
align-items: flex-end; align-items: flex-end;
overflow: hidden;
position: relative;
} }
.bar-fill { .bar-stack {
width: 100%;
display: flex;
flex-direction: column-reverse;
justify-content: flex-start;
overflow: hidden;
transition: height 0.3s ease;
}
.bar-segment {
width: 100%; width: 100%;
border-radius: 2px 2px 0 0;
min-height: 0; min-height: 0;
transition: height 0.3s ease; transition: height 0.3s ease;
/* Bottom = output (teal), top = input (blue) */ }
background: linear-gradient(
to top, .bar-segment.output,
#26a69a 0%, .legend-swatch.output {
#26a69a var(--output-pct, 50%), background: #26a69a;
#5c6bc0 var(--output-pct, 50%), }
#5c6bc0 100%
); .bar-segment.input,
.legend-swatch.input {
background: #5c6bc0;
}
.bar-segment.cache,
.legend-swatch.cache {
background: #f6ad55;
} }
.bar-tooltip { .bar-tooltip {
@@ -184,12 +220,10 @@ const maxTokens = computed(() =>
.tooltip-date { .tooltip-date {
font-weight: 600; font-weight: 600;
margin-bottom: 2px; margin-bottom: 4px;
} }
.tooltip-row { .tooltip-row {
font-size: 10px;
opacity: 0.85;
line-height: 1.5; line-height: 1.5;
} }
@@ -198,46 +232,59 @@ const maxTokens = computed(() =>
justify-content: space-between; justify-content: space-between;
font-size: 10px; font-size: 10px;
color: $text-muted; color: $text-muted;
margin-top: 4px; margin-bottom: 12px;
margin-bottom: 16px; }
.chart-legend {
display: flex;
flex-wrap: wrap;
gap: 8px 14px;
margin: 0 0 16px;
color: $text-muted;
font-size: 11px;
}
.legend-item {
display: inline-flex;
align-items: center;
gap: 5px;
}
.legend-swatch {
width: 8px;
height: 8px;
border-radius: 2px;
flex-shrink: 0;
} }
.trend-table { .trend-table {
overflow-x: auto; overflow-x: auto;
}
table { table {
width: 100%; width: 100%;
border-collapse: collapse; border-collapse: collapse;
font-size: 12px; font-size: 11px;
} }
thead { th,
position: sticky; td {
top: 0; text-align: right;
} padding: 6px 8px;
border-bottom: 1px solid $border-color;
}
th { th:first-child,
text-align: left; td:first-child {
padding: 8px 10px; text-align: left;
font-weight: 600; }
color: $text-muted;
border-bottom: 1px solid $border-color;
background: $bg-card;
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.3px;
}
td { th {
padding: 6px 10px; color: $text-muted;
color: $text-secondary; font-weight: 500;
border-bottom: 1px solid $border-light; }
font-family: $font-code;
font-size: 11px;
}
tr:last-child td { td {
border-bottom: none; color: $text-secondary;
}
} }
</style> </style>
@@ -5,28 +5,61 @@ import { useUsageStore } from '@/stores/hermes/usage'
const { t } = useI18n() const { t } = useI18n()
const usageStore = useUsageStore() const usageStore = useUsageStore()
const maxModelTokens = computed(() => Math.max(usageStore.modelUsage[0]?.totalTokens || 0, 1)) const maxModelTokens = computed(() => Math.max(...usageStore.modelUsage.map(m => m.visualTokens), 1))
function formatTokens(n: number): string { function formatTokens(n: number): string {
if (n >= 1000000) return (n / 1000000).toFixed(1) + 'M' if (n >= 1000000) return (n / 1000000).toFixed(1) + 'M'
if (n >= 1000) return (n / 1000).toFixed(1) + 'K' if (n >= 1000) return (n / 1000).toFixed(1) + 'K'
return String(n) return String(n)
} }
function cacheHitRate(m: { inputTokens: number; cacheTokens: number }): string {
const total = m.inputTokens + m.cacheTokens
if (total === 0) return '--'
return ((m.cacheTokens / total) * 100).toFixed(1) + '%'
}
</script> </script>
<template> <template>
<div class="model-breakdown"> <div class="model-breakdown">
<h3 class="section-title">{{ t('usage.modelBreakdown') }}</h3> <h3 class="section-title">{{ t('usage.modelBreakdown') }}</h3>
<div class="model-legend" aria-label="Token type legend">
<div class="legend-item"><span class="legend-swatch input" />{{ t('usage.inputTokens') }}</div>
<div class="legend-item"><span class="legend-swatch output" />{{ t('usage.outputTokens') }}</div>
<div class="legend-item"><span class="legend-swatch cache" />{{ t('usage.cacheRead') }}</div>
</div>
<div class="model-list"> <div class="model-list">
<div v-for="m in usageStore.modelUsage" :key="m.model" class="model-row"> <div v-for="m in usageStore.modelUsage" :key="m.model" class="model-row">
<span class="model-name">{{ m.model }}</span> <span class="model-swatch" :style="{ background: m.color }" />
<span class="model-name" :title="m.model">{{ m.model }}</span>
<div class="model-bar-wrap"> <div class="model-bar-wrap">
<div <div
class="model-bar" class="model-bar"
:style="{ width: (m.totalTokens / maxModelTokens * 100) + '%' }" :style="{ width: (m.visualTokens / maxModelTokens * 100) + '%' }"
/> >
<div
v-if="m.inputTokens > 0"
class="model-bar-segment input"
:style="{ width: m.inputPercent + '%' }"
/>
<div
v-if="m.outputTokens > 0"
class="model-bar-segment output"
:style="{ width: m.outputPercent + '%' }"
/>
<div
v-if="m.cacheTokens > 0"
class="model-bar-segment cache"
:style="{ width: m.cachePercent + '%' }"
/>
</div>
</div> </div>
<span class="model-tokens">{{ formatTokens(m.totalTokens) }}</span> <span class="model-tokens" :title="`${t('usage.inputTokens')}: ${formatTokens(m.inputTokens)} · ${t('usage.outputTokens')}: ${formatTokens(m.outputTokens)} · ${t('usage.cacheRead')}: ${formatTokens(m.cacheTokens)} · ${t('usage.cacheHitRate')}: ${cacheHitRate(m)}`">
{{ formatTokens(m.totalTokens) }}
<small v-if="m.cacheTokens > 0">+{{ formatTokens(m.cacheTokens) }}</small>
</span>
</div> </div>
</div> </div>
</div> </div>
@@ -50,6 +83,44 @@ function formatTokens(n: number): string {
margin: 0 0 12px; margin: 0 0 12px;
} }
.model-legend {
display: flex;
flex-wrap: wrap;
gap: 8px 14px;
margin: 0 0 12px;
color: $text-muted;
font-size: 11px;
}
.legend-item {
display: inline-flex;
align-items: center;
gap: 5px;
}
.legend-swatch,
.model-swatch {
width: 8px;
height: 8px;
border-radius: 2px;
flex-shrink: 0;
}
.legend-swatch.input,
.model-bar-segment.input {
background: #5c6bc0;
}
.legend-swatch.output,
.model-bar-segment.output {
background: #26a69a;
}
.legend-swatch.cache,
.model-bar-segment.cache {
background: #f6ad55;
}
.model-list { .model-list {
display: flex; display: flex;
flex-direction: column; flex-direction: column;
@@ -83,21 +154,29 @@ function formatTokens(n: number): string {
.model-bar { .model-bar {
height: 100%; height: 100%;
background: $text-primary;
border-radius: 3px; border-radius: 3px;
min-width: 2px; min-width: 2px;
transition: width 0.3s ease; transition: width 0.3s ease;
display: flex;
overflow: hidden;
}
.dark & { .model-bar-segment {
background: #66bb6a; height: 100%;
} min-width: 0;
} }
.model-tokens { .model-tokens {
font-size: 12px; font-size: 12px;
color: $text-muted; color: $text-muted;
width: 60px; width: 86px;
text-align: right; text-align: right;
flex-shrink: 0; flex-shrink: 0;
small {
color: #f6ad55;
margin-left: 4px;
font-size: 10px;
}
} }
</style> </style>
+1 -1
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@@ -751,7 +751,7 @@ jobTriggered: 'Job ausgelost',
estimatedCost: 'Gesch. Kosten', estimatedCost: 'Gesch. Kosten',
cacheHitRate: 'Cache-Trefferquote', cacheHitRate: 'Cache-Trefferquote',
modelBreakdown: 'Modellaufschluesselung', modelBreakdown: 'Modellaufschluesselung',
dailyTrend: 'Tagliche Nutzung (letzte 30 Tage)', dailyTrend: 'Tagliche Nutzung',
date: 'Datum', date: 'Datum',
tokens: 'Tokens', tokens: 'Tokens',
cache: 'Cache', cache: 'Cache',
+1 -1
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@@ -973,7 +973,7 @@ export default {
estimatedCost: 'Est. Cost', estimatedCost: 'Est. Cost',
cacheHitRate: 'Cache Hit Rate', cacheHitRate: 'Cache Hit Rate',
modelBreakdown: 'Model Breakdown', modelBreakdown: 'Model Breakdown',
dailyTrend: 'Daily Usage (Last 30 Days)', dailyTrend: 'Daily Usage',
date: 'Date', date: 'Date',
tokens: 'Tokens', tokens: 'Tokens',
cache: 'Cache', cache: 'Cache',
+1 -1
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@@ -747,7 +747,7 @@ jobTriggered: 'Job ejecutado',
estimatedCost: 'Costo est.', estimatedCost: 'Costo est.',
cacheHitRate: 'Tasa de acierto de cache', cacheHitRate: 'Tasa de acierto de cache',
modelBreakdown: 'Desglose por modelo', modelBreakdown: 'Desglose por modelo',
dailyTrend: 'Uso diario (ultimos 30 dias)', dailyTrend: 'Uso diario',
date: 'Fecha', date: 'Fecha',
tokens: 'Tokens', tokens: 'Tokens',
cache: 'Caché', cache: 'Caché',
+1 -1
View File
@@ -747,7 +747,7 @@ jobTriggered: 'Job declenche',
estimatedCost: 'Cout est.', estimatedCost: 'Cout est.',
cacheHitRate: 'Taux de succes du cache', cacheHitRate: 'Taux de succes du cache',
modelBreakdown: 'Repartition par modele', modelBreakdown: 'Repartition par modele',
dailyTrend: 'Utilisation quotidienne (30 derniers jours)', dailyTrend: 'Utilisation quotidienne',
date: 'Date', date: 'Date',
tokens: 'Jetons', tokens: 'Jetons',
cache: 'Cache', cache: 'Cache',
+1 -1
View File
@@ -747,7 +747,7 @@ export default {
estimatedCost: '推定コスト', estimatedCost: '推定コスト',
cacheHitRate: 'キャッシュヒット率', cacheHitRate: 'キャッシュヒット率',
modelBreakdown: 'モデル別内訳', modelBreakdown: 'モデル別内訳',
dailyTrend: '日別使用量(過去30日間)', dailyTrend: '日別使用量',
date: '日付', date: '日付',
tokens: 'トークン', tokens: 'トークン',
cache: 'キャッシュ', cache: 'キャッシュ',
+1 -1
View File
@@ -747,7 +747,7 @@ export default {
estimatedCost: '예상 비용', estimatedCost: '예상 비용',
cacheHitRate: '캐시 적중률', cacheHitRate: '캐시 적중률',
modelBreakdown: '모델별 분포', modelBreakdown: '모델별 분포',
dailyTrend: '일별 사용량 (최근 30일)', dailyTrend: '일별 사용량',
date: '날짜', date: '날짜',
tokens: '토큰', tokens: '토큰',
cache: '캐시', cache: '캐시',
+1 -1
View File
@@ -747,7 +747,7 @@ jobTriggered: 'Job acionado',
estimatedCost: 'Custo est.', estimatedCost: 'Custo est.',
cacheHitRate: 'Taxa de acerto de cache', cacheHitRate: 'Taxa de acerto de cache',
modelBreakdown: 'Detalhamento por modelo', modelBreakdown: 'Detalhamento por modelo',
dailyTrend: 'Uso diario (ultimos 30 dias)', dailyTrend: 'Uso diario',
date: 'Data', date: 'Data',
tokens: 'Tokens', tokens: 'Tokens',
cache: 'Cache', cache: 'Cache',
+1 -1
View File
@@ -975,7 +975,7 @@ export default {
estimatedCost: '預估費用', estimatedCost: '預估費用',
cacheHitRate: '快取命中率', cacheHitRate: '快取命中率',
modelBreakdown: '模型分布', modelBreakdown: '模型分布',
dailyTrend: '每日用量(近 30 天)', dailyTrend: '每日用量',
date: '日期', date: '日期',
tokens: 'Token', tokens: 'Token',
cache: '快取', cache: '快取',
+1 -1
View File
@@ -975,7 +975,7 @@ export default {
estimatedCost: '预估费用', estimatedCost: '预估费用',
cacheHitRate: '缓存命中率', cacheHitRate: '缓存命中率',
modelBreakdown: '模型分布', modelBreakdown: '模型分布',
dailyTrend: '每日用量(近 30 天)', dailyTrend: '每日用量',
date: '日期', date: '日期',
tokens: 'Token', tokens: 'Token',
cache: '缓存', cache: '缓存',
+95 -12
View File
@@ -11,6 +11,10 @@ interface DailyUsage {
sessions: number sessions: number
errors: number errors: number
cost: number cost: number
visualTokens: number
inputPercent: number
outputPercent: number
cachePercent: number
} }
interface ModelUsage { interface ModelUsage {
@@ -18,22 +22,70 @@ interface ModelUsage {
inputTokens: number inputTokens: number
outputTokens: number outputTokens: number
cacheTokens: number cacheTokens: number
cacheWriteTokens: number
totalTokens: number totalTokens: number
visualTokens: number
sessions: number sessions: number
color: string
inputPercent: number
outputPercent: number
cachePercent: number
}
const MODEL_COLORS = [
'#4fd1c5',
'#63b3ed',
'#f6ad55',
'#b794f4',
'#68d391',
'#fc8181',
'#f687b3',
'#90cdf4',
'#fbd38d',
'#9ae6b4',
]
function normalizeModel(model: string | null | undefined): string {
const trimmed = (model || '').trim()
return trimmed || 'unknown'
}
function percent(part: number, total: number): number {
if (total <= 0) return 0
return part / total * 100
}
function getModelColor(model: string): string {
const normalized = normalizeModel(model)
let hash = 0
for (let i = 0; i < normalized.length; i += 1) {
hash = ((hash << 5) - hash) + normalized.charCodeAt(i)
hash |= 0
}
return MODEL_COLORS[Math.abs(hash) % MODEL_COLORS.length]
} }
export const useUsageStore = defineStore('usage', () => { export const useUsageStore = defineStore('usage', () => {
const stats = ref<UsageStatsResponse | null>(null) const stats = ref<UsageStatsResponse | null>(null)
const isLoading = ref(false) const isLoading = ref(false)
let latestRequestId = 0
async function loadSessions(days = 30) { async function loadSessions(days = 30) {
const requestId = ++latestRequestId
isLoading.value = true isLoading.value = true
try { try {
stats.value = await fetchUsageStats(days) const response = await fetchUsageStats(days)
if (requestId === latestRequestId) {
stats.value = response
}
} catch (err) { } catch (err) {
console.error('Failed to load usage stats:', err) if (requestId === latestRequestId) {
console.error('Failed to load usage stats:', err)
}
} finally { } finally {
isLoading.value = false if (requestId === latestRequestId) {
isLoading.value = false
}
} }
} }
@@ -56,17 +108,46 @@ export const useUsageStore = defineStore('usage', () => {
const modelUsage = computed<ModelUsage[]>(() => { const modelUsage = computed<ModelUsage[]>(() => {
if (!stats.value) return [] if (!stats.value) return []
return stats.value.model_usage.map(m => ({ return stats.value.model_usage.map(m => {
model: m.model || 'unknown', const model = normalizeModel(m.model)
inputTokens: m.input_tokens, const totalTokens = m.input_tokens + m.output_tokens
outputTokens: m.output_tokens, const visualTokens = totalTokens + m.cache_read_tokens
cacheTokens: m.cache_read_tokens, return {
totalTokens: m.input_tokens + m.output_tokens, model,
sessions: m.sessions, inputTokens: m.input_tokens,
})).sort((a, b) => b.totalTokens - a.totalTokens) outputTokens: m.output_tokens,
cacheTokens: m.cache_read_tokens,
cacheWriteTokens: m.cache_write_tokens,
totalTokens,
visualTokens,
sessions: m.sessions,
color: getModelColor(model),
inputPercent: percent(m.input_tokens, visualTokens),
outputPercent: percent(m.output_tokens, visualTokens),
cachePercent: percent(m.cache_read_tokens, visualTokens),
}
}).sort((a, b) => b.visualTokens - a.visualTokens)
}) })
const dailyUsage = computed<DailyUsage[]>(() => stats.value?.daily_usage ?? []) const modelLegend = computed(() => {
const seen = new Set<string>()
return modelUsage.value.filter(m => {
if (seen.has(m.model)) return false
seen.add(m.model)
return true
}).map(m => ({ model: m.model, color: m.color }))
})
const dailyUsage = computed<DailyUsage[]>(() => (stats.value?.daily_usage ?? []).map(d => {
const visualTokens = d.input_tokens + d.output_tokens + d.cache_read_tokens
return {
...d,
visualTokens,
inputPercent: percent(d.input_tokens, visualTokens),
outputPercent: percent(d.output_tokens, visualTokens),
cachePercent: percent(d.cache_read_tokens, visualTokens),
}
}))
const avgSessionsPerDay = computed(() => { const avgSessionsPerDay = computed(() => {
if (!stats.value || stats.value.daily_usage.length === 0) return 0 if (!stats.value || stats.value.daily_usage.length === 0) return 0
@@ -88,7 +169,9 @@ export const useUsageStore = defineStore('usage', () => {
cacheHitRate, cacheHitRate,
estimatedCost, estimatedCost,
modelUsage, modelUsage,
modelLegend,
dailyUsage, dailyUsage,
avgSessionsPerDay, avgSessionsPerDay,
getModelColor,
} }
}) })
+83 -5
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@@ -1,6 +1,6 @@
<script setup lang="ts"> <script setup lang="ts">
import { NButton } from 'naive-ui' import { NButton } from 'naive-ui'
import { onMounted } from 'vue' import { onMounted, ref } from 'vue'
import { useI18n } from 'vue-i18n' import { useI18n } from 'vue-i18n'
import { useUsageStore } from '@/stores/hermes/usage' import { useUsageStore } from '@/stores/hermes/usage'
import StatCards from '@/components/hermes/usage/StatCards.vue' import StatCards from '@/components/hermes/usage/StatCards.vue'
@@ -10,8 +10,22 @@ import DailyTrend from '@/components/hermes/usage/DailyTrend.vue'
const { t } = useI18n() const { t } = useI18n()
const usageStore = useUsageStore() const usageStore = useUsageStore()
const periodOptions = [
{ label: '7d', days: 7 },
{ label: '30d', days: 30 },
{ label: '90d', days: 90 },
{ label: '365d', days: 365 },
] as const
const selectedPeriod = ref(30)
function loadUsage(days = selectedPeriod.value) {
selectedPeriod.value = days
usageStore.loadSessions(days)
}
onMounted(() => { onMounted(() => {
usageStore.loadSessions() loadUsage(30)
}) })
</script> </script>
@@ -19,9 +33,26 @@ onMounted(() => {
<div class="usage-view"> <div class="usage-view">
<header class="page-header"> <header class="page-header">
<h2 class="header-title">{{ t('usage.title') }}</h2> <h2 class="header-title">{{ t('usage.title') }}</h2>
<NButton size="small" quaternary :loading="usageStore.isLoading" @click="usageStore.loadSessions()"> <div class="usage-toolbar">
{{ t('usage.refresh') }} <div class="period-selector" role="group" aria-label="Usage statistics period">
</NButton> <NButton
v-for="option in periodOptions"
:key="option.days"
class="period-option"
size="small"
:type="selectedPeriod === option.days ? 'primary' : 'default'"
:secondary="selectedPeriod === option.days"
:quaternary="selectedPeriod !== option.days"
:aria-pressed="selectedPeriod === option.days"
@click="loadUsage(option.days)"
>
{{ option.label }}
</NButton>
</div>
<NButton class="refresh-button" size="small" quaternary :loading="usageStore.isLoading" @click="loadUsage()">
{{ t('usage.refresh') }}
</NButton>
</div>
</header> </header>
<div class="usage-content"> <div class="usage-content">
@@ -51,6 +82,37 @@ onMounted(() => {
flex-direction: column; flex-direction: column;
} }
.page-header {
display: flex;
flex-shrink: 0;
align-items: center;
justify-content: space-between;
gap: 12px;
padding: 21px 20px;
border-bottom: 1px solid $border-color;
}
.header-title {
margin: 0;
color: $text-primary;
font-size: 16px;
font-weight: 600;
}
.usage-toolbar,
.period-selector {
display: flex;
align-items: center;
gap: 8px;
}
.period-selector {
padding: 2px;
border: 1px solid $border-light;
border-radius: $radius-sm;
background: $bg-secondary;
}
.usage-content { .usage-content {
flex: 1; flex: 1;
overflow-y: auto; overflow-y: auto;
@@ -73,4 +135,20 @@ onMounted(() => {
color: $text-muted; color: $text-muted;
font-size: 14px; font-size: 14px;
} }
@media (max-width: $breakpoint-mobile) {
.page-header,
.usage-toolbar {
align-items: flex-start;
flex-direction: column;
}
.usage-toolbar {
width: 100%;
}
.period-selector {
flex-wrap: wrap;
}
}
</style> </style>
@@ -450,8 +450,9 @@ export async function usageStats(ctx: any) {
const totalSessions = local.sessions + hermes.sessions const totalSessions = local.sessions + hermes.sessions
const modelMap = new Map<string, UsageStatsModelRow>() const modelMap = new Map<string, UsageStatsModelRow>()
for (const m of [...local.by_model, ...hermes.by_model].filter(m => m.model)) { for (const m of [...local.by_model, ...hermes.by_model]) {
const existing = modelMap.get(m.model) const model = (m.model || '').trim() || 'unknown'
const existing = modelMap.get(model)
if (existing) { if (existing) {
existing.input_tokens += m.input_tokens existing.input_tokens += m.input_tokens
existing.output_tokens += m.output_tokens existing.output_tokens += m.output_tokens
@@ -460,7 +461,7 @@ export async function usageStats(ctx: any) {
existing.reasoning_tokens += m.reasoning_tokens existing.reasoning_tokens += m.reasoning_tokens
existing.sessions += m.sessions existing.sessions += m.sessions
} else { } else {
modelMap.set(m.model, { ...m }) modelMap.set(model, { ...m, model })
} }
} }
@@ -0,0 +1,73 @@
// @vitest-environment jsdom
import { describe, expect, it, vi } from 'vitest'
import { mount } from '@vue/test-utils'
const mockUsageStore = vi.hoisted(() => ({
dailyUsage: [
{
date: '2026-05-12',
input_tokens: 100,
output_tokens: 50,
cache_read_tokens: 75,
cache_write_tokens: 10,
sessions: 2,
errors: 0,
cost: 0.02,
visualTokens: 225,
inputPercent: 44.444,
outputPercent: 22.222,
cachePercent: 33.333,
},
],
modelUsage: [
{
model: 'gpt-5',
inputTokens: 100,
outputTokens: 50,
cacheTokens: 75,
cacheWriteTokens: 10,
totalTokens: 150,
visualTokens: 225,
sessions: 2,
color: '#4fd1c5',
inputPercent: 44.444,
outputPercent: 22.222,
cachePercent: 33.333,
},
],
}))
vi.mock('@/stores/hermes/usage', () => ({
useUsageStore: () => mockUsageStore,
}))
vi.mock('vue-i18n', () => ({
useI18n: () => ({
t: (key: string) => key,
}),
}))
import DailyTrend from '@/components/hermes/usage/DailyTrend.vue'
import ModelBreakdown from '@/components/hermes/usage/ModelBreakdown.vue'
describe('usage cache visualizations', () => {
it('renders cache-read as a visible segment in the daily usage bars', () => {
const wrapper = mount(DailyTrend)
const cacheSegment = wrapper.find('.bar-segment.cache')
expect(cacheSegment.exists()).toBe(true)
expect(cacheSegment.attributes('style')).toContain('height: 33.333%')
expect(wrapper.text()).toContain('usage.cacheRead')
})
it('renders model breakdown as input/output/cache stacked segments', () => {
const wrapper = mount(ModelBreakdown)
expect(wrapper.find('.model-swatch').attributes('style')).toContain('background: rgb(79, 209, 197)')
expect(wrapper.find('.model-bar-segment.input').exists()).toBe(true)
expect(wrapper.find('.model-bar-segment.output').exists()).toBe(true)
const cacheSegment = wrapper.find('.model-bar-segment.cache')
expect(cacheSegment.exists()).toBe(true)
expect(cacheSegment.attributes('style')).toContain('width: 33.333%')
})
})
+113 -21
View File
@@ -10,6 +10,21 @@ vi.mock('@/api/hermes/sessions', () => ({
fetchUsageStats: usageApiMock.fetchUsageStats, fetchUsageStats: usageApiMock.fetchUsageStats,
})) }))
function emptyStats(totalSessions = 0, periodDays = 30) {
return {
total_input_tokens: totalSessions,
total_output_tokens: 0,
total_cache_read_tokens: 0,
total_cache_write_tokens: 0,
total_reasoning_tokens: 0,
total_cost: 0,
total_sessions: totalSessions,
period_days: periodDays,
model_usage: [],
daily_usage: [],
}
}
describe('usage store analytics adapter', () => { describe('usage store analytics adapter', () => {
beforeEach(() => { beforeEach(() => {
setActivePinia(createPinia()) setActivePinia(createPinia())
@@ -31,8 +46,8 @@ describe('usage store analytics adapter', () => {
{ model: '', input_tokens: 20, output_tokens: 10, cache_read_tokens: 5, cache_write_tokens: 2, reasoning_tokens: 3, sessions: 1 }, { model: '', input_tokens: 20, output_tokens: 10, cache_read_tokens: 5, cache_write_tokens: 2, reasoning_tokens: 3, sessions: 1 },
], ],
daily_usage: [ daily_usage: [
{ date: '2026-04-29', tokens: 100, cache: 20, sessions: 1, cost: 0.01 }, { date: '2026-04-29', input_tokens: 80, output_tokens: 20, cache_read_tokens: 40, cache_write_tokens: 4, sessions: 1, errors: 0, cost: 0.01 },
{ date: '2026-04-30', tokens: 50, cache: 5, sessions: 1, cost: 0.0023 }, { date: '2026-04-30', input_tokens: 30, output_tokens: 20, cache_read_tokens: 5, cache_write_tokens: 1, sessions: 1, errors: 0, cost: 0.0023 },
], ],
}) })
@@ -44,28 +59,51 @@ describe('usage store analytics adapter', () => {
expect(store.totalTokens).toBe(150) expect(store.totalTokens).toBe(150)
expect(store.cacheHitRate).toBeCloseTo(25 / 125 * 100) expect(store.cacheHitRate).toBeCloseTo(25 / 125 * 100)
expect(store.hasData).toBe(true) expect(store.hasData).toBe(true)
expect(store.modelUsage).toEqual([ expect(store.modelUsage).toHaveLength(2)
{ model: 'gpt-5', totalTokens: 120, inputTokens: 80, outputTokens: 40, cacheTokens: 20, sessions: 1 }, expect(store.modelUsage[0]).toMatchObject({
{ model: 'unknown', totalTokens: 30, inputTokens: 20, outputTokens: 10, cacheTokens: 5, sessions: 1 }, model: 'gpt-5',
]) totalTokens: 120,
expect(store.dailyUsage).toEqual([ inputTokens: 80,
{ date: '2026-04-29', tokens: 100, cache: 20, sessions: 1, cost: 0.01 }, outputTokens: 40,
{ date: '2026-04-30', tokens: 50, cache: 5, sessions: 1, cost: 0.0023 }, cacheTokens: 20,
]) cacheWriteTokens: 3,
visualTokens: 140,
sessions: 1,
})
expect(store.modelUsage[0].color).toMatch(/^#[0-9a-f]{6}$/i)
expect(store.modelUsage[0].inputPercent).toBeCloseTo(80 / 140 * 100)
expect(store.modelUsage[0].outputPercent).toBeCloseTo(40 / 140 * 100)
expect(store.modelUsage[0].cachePercent).toBeCloseTo(20 / 140 * 100)
expect(store.modelUsage[1]).toMatchObject({
model: 'unknown',
totalTokens: 30,
inputTokens: 20,
outputTokens: 10,
cacheTokens: 5,
cacheWriteTokens: 2,
visualTokens: 35,
sessions: 1,
})
expect(store.modelUsage[1].color).toBe(store.getModelColor('unknown'))
expect(store.modelLegend.map(m => m.model)).toEqual(['gpt-5', 'unknown'])
expect(store.dailyUsage).toHaveLength(2)
expect(store.dailyUsage[0]).toMatchObject({
date: '2026-04-29',
input_tokens: 80,
output_tokens: 20,
cache_read_tokens: 40,
cache_write_tokens: 4,
visualTokens: 140,
sessions: 1,
cost: 0.01,
})
expect(store.dailyUsage[0].inputPercent).toBeCloseTo(80 / 140 * 100)
expect(store.dailyUsage[0].outputPercent).toBeCloseTo(20 / 140 * 100)
expect(store.dailyUsage[0].cachePercent).toBeCloseTo(40 / 140 * 100)
}) })
it('allows callers to request a different period', async () => { it('allows callers to request a different period', async () => {
usageApiMock.fetchUsageStats.mockResolvedValue({ usageApiMock.fetchUsageStats.mockResolvedValue(emptyStats())
total_input_tokens: 0,
total_output_tokens: 0,
total_cache_read_tokens: 0,
total_cache_write_tokens: 0,
total_reasoning_tokens: 0,
total_cost: 0,
total_sessions: 0,
model_usage: [],
daily_usage: [],
})
const { useUsageStore } = await import('@/stores/hermes/usage') const { useUsageStore } = await import('@/stores/hermes/usage')
const store = useUsageStore() const store = useUsageStore()
@@ -74,4 +112,58 @@ describe('usage store analytics adapter', () => {
expect(usageApiMock.fetchUsageStats).toHaveBeenCalledWith(7) expect(usageApiMock.fetchUsageStats).toHaveBeenCalledWith(7)
expect(store.hasData).toBe(false) expect(store.hasData).toBe(false)
}) })
it('keeps loading true when an older overlapping request resolves first', async () => {
let resolve30: (value: ReturnType<typeof emptyStats>) => void = () => {}
let resolve7: (value: ReturnType<typeof emptyStats>) => void = () => {}
usageApiMock.fetchUsageStats.mockImplementation((days: number) => new Promise(resolve => {
if (days === 30) resolve30 = resolve
if (days === 7) resolve7 = resolve
}))
const { useUsageStore } = await import('@/stores/hermes/usage')
const store = useUsageStore()
const firstLoad = store.loadSessions(30)
const secondLoad = store.loadSessions(7)
expect(store.isLoading).toBe(true)
resolve30(emptyStats(30, 30))
await firstLoad
expect(store.isLoading).toBe(true)
expect(store.stats).toBeNull()
resolve7(emptyStats(7, 7))
await secondLoad
expect(store.isLoading).toBe(false)
expect(store.stats?.period_days).toBe(7)
expect(store.totalSessions).toBe(7)
})
it('ignores stale overlapping responses that resolve after the selected period', async () => {
let resolve30: (value: ReturnType<typeof emptyStats>) => void = () => {}
let resolve7: (value: ReturnType<typeof emptyStats>) => void = () => {}
usageApiMock.fetchUsageStats.mockImplementation((days: number) => new Promise(resolve => {
if (days === 30) resolve30 = resolve
if (days === 7) resolve7 = resolve
}))
const { useUsageStore } = await import('@/stores/hermes/usage')
const store = useUsageStore()
const firstLoad = store.loadSessions(30)
const secondLoad = store.loadSessions(7)
resolve7(emptyStats(7, 7))
await secondLoad
expect(store.isLoading).toBe(false)
expect(store.stats?.period_days).toBe(7)
resolve30(emptyStats(30, 30))
await firstLoad
expect(store.stats?.period_days).toBe(7)
expect(store.totalSessions).toBe(7)
})
}) })
+80
View File
@@ -0,0 +1,80 @@
// @vitest-environment jsdom
import { beforeEach, describe, expect, it, vi } from 'vitest'
import { defineComponent } from 'vue'
import { mount } from '@vue/test-utils'
const mockUsageStore = vi.hoisted(() => ({
isLoading: false,
hasData: true,
loadSessions: vi.fn(),
}))
vi.mock('@/stores/hermes/usage', () => ({
useUsageStore: () => mockUsageStore,
}))
vi.mock('vue-i18n', () => ({
useI18n: () => ({
t: (key: string) => key,
}),
}))
vi.mock('naive-ui', () => ({
NButton: defineComponent({
name: 'NButton',
props: {
loading: Boolean,
type: String,
secondary: Boolean,
quaternary: Boolean,
size: String,
ariaPressed: [Boolean, String],
},
emits: ['click'],
template: '<button class="n-button-stub" :data-type="type" :aria-pressed="ariaPressed" @click="$emit(\'click\')"><slot /></button>',
}),
}))
vi.mock('@/components/hermes/usage/StatCards.vue', () => ({
default: defineComponent({ name: 'StatCards', template: '<section class="stat-cards-stub" />' }),
}))
vi.mock('@/components/hermes/usage/ModelBreakdown.vue', () => ({
default: defineComponent({ name: 'ModelBreakdown', template: '<section class="model-breakdown-stub" />' }),
}))
vi.mock('@/components/hermes/usage/DailyTrend.vue', () => ({
default: defineComponent({ name: 'DailyTrend', template: '<section class="daily-trend-stub" />' }),
}))
import UsageView from '@/views/hermes/UsageView.vue'
describe('UsageView period selector', () => {
beforeEach(() => {
mockUsageStore.isLoading = false
mockUsageStore.hasData = true
mockUsageStore.loadSessions.mockReset()
})
it('loads the default 30-day period on mount', () => {
mount(UsageView)
expect(mockUsageStore.loadSessions).toHaveBeenCalledWith(30)
})
it('lets users switch usage statistics between common dashboard periods', async () => {
const wrapper = mount(UsageView)
const periodButtons = wrapper.findAll('.period-option')
expect(periodButtons.map(button => button.text())).toEqual(['7d', '30d', '90d', '365d'])
expect(wrapper.find('.period-selector').attributes('role')).toBe('group')
await periodButtons[0].trigger('click')
expect(mockUsageStore.loadSessions).toHaveBeenLastCalledWith(7)
expect(periodButtons[0].attributes('data-type')).toBe('primary')
expect(periodButtons[0].attributes('aria-pressed')).toBe('true')
await wrapper.find('.refresh-button').trigger('click')
expect(mockUsageStore.loadSessions).toHaveBeenLastCalledWith(7)
})
})
+37
View File
@@ -220,6 +220,43 @@ describe('session conversations controller', () => {
}) })
}) })
it('keeps blank model usage under an unknown bucket', async () => {
getLocalUsageStatsMock.mockReturnValue({
input_tokens: 3,
output_tokens: 1,
cache_read_tokens: 2,
cache_write_tokens: 0,
reasoning_tokens: 0,
sessions: 1,
by_model: [
{ model: '', input_tokens: 3, output_tokens: 1, cache_read_tokens: 2, cache_write_tokens: 0, reasoning_tokens: 0, sessions: 1 },
],
by_day: [],
})
getUsageStatsFromDbMock.mockResolvedValue({
input_tokens: 2,
output_tokens: 1,
cache_read_tokens: 1,
cache_write_tokens: 1,
reasoning_tokens: 0,
sessions: 1,
cost: 0,
total_api_calls: 0,
by_model: [
{ model: ' ', input_tokens: 2, output_tokens: 1, cache_read_tokens: 1, cache_write_tokens: 1, reasoning_tokens: 0, sessions: 1 },
],
by_day: [],
})
const mod = await import('../../packages/server/src/controllers/hermes/sessions')
const ctx: any = { query: { days: '2' }, body: null }
await mod.usageStats(ctx)
expect(ctx.body.model_usage).toEqual([
{ model: 'unknown', input_tokens: 5, output_tokens: 2, cache_read_tokens: 3, cache_write_tokens: 1, reasoning_tokens: 0, sessions: 2 },
])
})
describe('exportSession', () => { describe('exportSession', () => {
it('returns session as JSON download with correct headers (full mode)', async () => { it('returns session as JSON download with correct headers (full mode)', async () => {
const sessionData = { id: 'abc-123', title: 'Test Session', messages: [{ id: 1, role: 'user', content: 'hello' }] } const sessionData = { id: 'abc-123', title: 'Test Session', messages: [{ id: 1, role: 'user', content: 'hello' }] }