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fix(stats): sort metric charts by top usage

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This commit is contained in:
Adam
2026-06-04 19:36:29 -05:00
parent 47f3d8b709
commit 46e9863589
1 changed files with 10 additions and 6 deletions
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packages/stats/core/src/domain/home.ts
+10 -6
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@@ -95,6 +95,7 @@ export type StatsHomeData = {
const DAY_MS = 86_400_000 const DAY_MS = 86_400_000
const TOKEN_SCALE = 1_000_000 const TOKEN_SCALE = 1_000_000
const DOLLARS_PER_MICROCENT = 1 / 100_000_000 const DOLLARS_PER_MICROCENT = 1 / 100_000_000
const METRIC_MODEL_LIMIT = 10
const months = ["JAN", "FEB", "MAR", "APR", "MAY", "JUN", "JUL", "AUG", "SEP", "OCT", "NOV", "DEC"] as const const months = ["JAN", "FEB", "MAR", "APR", "MAY", "JUN", "JUL", "AUG", "SEP", "OCT", "NOV", "DEC"] as const
type StatMetricRow = Omit<ModelStatMetric, "updatedAt"> & { type StatMetricRow = Omit<ModelStatMetric, "updatedAt"> & {
@@ -422,7 +423,7 @@ function buildCountryStats(rows: GeoMetricRow[], window: DateWindow) {
} }
function buildTokenCost(rows: StatMetricRow[], product: TokenProduct, window: DateWindow) { function buildTokenCost(rows: StatMetricRow[], product: TokenProduct, window: DateWindow) {
return aggregateByModel(rowsForProduct(rows, product, window.start, window.end)) return topModelsByUsage(rows, product, window)
.flatMap((item) => { .flatMap((item) => {
const total = costPerMillion(item.totalCostMicrocents, item.totalTokens) const total = costPerMillion(item.totalCostMicrocents, item.totalTokens)
if (total === 0) return [] if (total === 0) return []
@@ -437,11 +438,10 @@ function buildTokenCost(rows: StatMetricRow[], product: TokenProduct, window: Da
] ]
}) })
.toSorted((a, b) => a.total - b.total) .toSorted((a, b) => a.total - b.total)
.slice(0, 17)
} }
function buildCacheRatio(rows: StatMetricRow[], product: TokenProduct, window: DateWindow) { function buildCacheRatio(rows: StatMetricRow[], product: TokenProduct, window: DateWindow) {
return aggregateByModel(rowsForProduct(rows, product, window.start, window.end)) return topModelsByUsage(rows, product, window)
.flatMap((item) => { .flatMap((item) => {
const total = item.inputTokens + item.cacheReadTokens const total = item.inputTokens + item.cacheReadTokens
if (total === 0) return [] if (total === 0) return []
@@ -456,11 +456,10 @@ function buildCacheRatio(rows: StatMetricRow[], product: TokenProduct, window: D
] ]
}) })
.toSorted((a, b) => b.ratio - a.ratio || b.cached - a.cached) .toSorted((a, b) => b.ratio - a.ratio || b.cached - a.cached)
.slice(0, 17)
} }
function buildSessionCost(rows: StatMetricRow[], product: TokenProduct, window: DateWindow) { function buildSessionCost(rows: StatMetricRow[], product: TokenProduct, window: DateWindow) {
return aggregateByModel(rowsForProduct(rows, product, window.start, window.end)) return topModelsByUsage(rows, product, window)
.flatMap((item) => { .flatMap((item) => {
if (item.sessions === 0) return [] if (item.sessions === 0) return []
const cost = round(microcentsToDollars(item.totalCostMicrocents) / item.sessions, 4) const cost = round(microcentsToDollars(item.totalCostMicrocents) / item.sessions, 4)
@@ -468,7 +467,12 @@ function buildSessionCost(rows: StatMetricRow[], product: TokenProduct, window:
return [{ model: item.model, cost, tokens: Math.round(item.totalTokens / item.sessions) }] return [{ model: item.model, cost, tokens: Math.round(item.totalTokens / item.sessions) }]
}) })
.toSorted((a, b) => a.cost - b.cost) .toSorted((a, b) => a.cost - b.cost)
.slice(0, 17) }
function topModelsByUsage(rows: StatMetricRow[], product: TokenProduct, window: DateWindow) {
return aggregateByModel(rowsForProduct(rows, product, window.start, window.end))
.toSorted((a, b) => b.totalTokens - a.totalTokens)
.slice(0, METRIC_MODEL_LIMIT)
} }
function buildModelUsage(rows: StatMetricRow[], window: DateWindow, range: UsageRange) { function buildModelUsage(rows: StatMetricRow[], window: DateWindow, range: UsageRange) {