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fix(stats): scope data charts to go

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Adam 2026-06-14 20:21:39 -05:00
parent e4ccb505bf
commit a9a4b2f00f
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GPG Key ID: 9CB48779AF150E75
5 changed files with 40 additions and 17 deletions
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6
packages/stats/app/src/routes/index.tsx
View File

@ -810,10 +810,8 @@ function stackedTopModelsSegments(point: UsagePoint, order: Map<string, number>)
}
function getTopModelsSegmentOrder(data: UsagePoint[]) {
return getRankOrder(
data.flatMap((point) =>
point.segments.map((segment, index) => ({ key: segment.model, value: segment.value, index })),
),
return new Map(
data.find((point) => point.segments.length > 0)?.segments.map((segment, index) => [segment.model, index]) ?? [],
)
}

10
packages/stats/core/src/domain/geo.ts
View File

@ -86,7 +86,15 @@ export class GeoStatRepo extends Context.Service<GeoStatRepo, GeoStatRepo.Servic
totalTokens: geoStat.total_tokens,
})
.from(geoStat)
.where(and(eq(geoStat.grain, "day"), eq(geoStat.client, "all"), eq(geoStat.source, "all"), scope))
.where(
and(
eq(geoStat.grain, "day"),
eq(geoStat.client, "all"),
eq(geoStat.source, "all"),
inArray(geoStat.tier, ["Go", "go"]),
scope,
),
)
.orderBy(asc(geoStat.period_key)),
catch: (cause) => DatabaseError.make({ cause }),
})

23
packages/stats/core/src/domain/home.ts
View File

@ -96,6 +96,8 @@ const DAY_MS = 86_400_000
const TOKEN_SCALE = 1_000_000
const DOLLARS_PER_MICROCENT = 1 / 100_000_000
const METRIC_MODEL_LIMIT = 10
const TOP_MODEL_SEGMENT_LIMIT = 9
const SITE_PRODUCT = "Go"
const LEADERBOARD_CHANGE_MIN_MULTIPLE = 10
const months = ["JAN", "FEB", "MAR", "APR", "MAY", "JUN", "JUL", "AUG", "SEP", "OCT", "NOV", "DEC"] as const
@ -227,15 +229,15 @@ function buildStatsModelData(
const latest = Math.max(...normalized.map((row) => row.periodStart))
const latestUpdate = Math.max(...modelScopedRows.map((row) => row.updatedAt))
const window = getWindow("2M", earliest, latest)
const currentRows = rowsForProduct(modelScopedRows, "All Users", window.start, window.end)
const previousRows = rowsForProduct(modelScopedRows, "All Users", window.previousStart, window.previousEnd)
const currentRows = rowsForProduct(modelScopedRows, SITE_PRODUCT, window.start, window.end)
const previousRows = rowsForProduct(modelScopedRows, SITE_PRODUCT, window.previousStart, window.previousEnd)
const current = combineRowsForModel(model, currentRows)
const previous = combineRowsForModel(model, previousRows)
const peers = aggregateByModelName(rowsForProduct(normalized, "All Users", window.start, window.end))
const peers = aggregateByModelName(rowsForProduct(normalized, SITE_PRODUCT, window.start, window.end))
.filter((item) => item.totalTokens > 0)
.toSorted((a, b) => b.totalTokens - a.totalTokens || a.model.localeCompare(b.model))
const previousPeers = aggregateByModelName(
rowsForProduct(normalized, "All Users", window.previousStart, window.previousEnd),
rowsForProduct(normalized, SITE_PRODUCT, window.previousStart, window.previousEnd),
)
.filter((item) => item.totalTokens > 0)
.toSorted((a, b) => b.totalTokens - a.totalTokens || a.model.localeCompare(b.model))
@ -289,11 +291,11 @@ function buildStatsLabData(providerParam: string, modelRows: ModelStatMetric[]):
const latest = Math.max(...normalized.map((row) => row.periodStart))
const latestUpdate = Math.max(...providerRows.map((row) => row.updatedAt))
const window = getWindow("2M", earliest, latest)
const currentRows = rowsForProduct(providerRows, "All Users", window.start, window.end)
const previousRows = rowsForProduct(providerRows, "All Users", window.previousStart, window.previousEnd)
const currentRows = rowsForProduct(providerRows, SITE_PRODUCT, window.start, window.end)
const previousRows = rowsForProduct(providerRows, SITE_PRODUCT, window.previousStart, window.previousEnd)
const current = combineRowsForModel("", currentRows)
const previous = combineRowsForModel("", previousRows)
const allCurrent = aggregateByModel(rowsForProduct(normalized, "All Users", window.start, window.end))
const allCurrent = aggregateByModel(rowsForProduct(normalized, SITE_PRODUCT, window.start, window.end))
const totalTokens = allCurrent.reduce((sum, item) => sum + item.totalTokens, 0)
const models = aggregateByModel(currentRows)
.filter((item) => item.totalTokens > 0)
@ -337,9 +339,10 @@ function emptyStatsHomeData(): StatsHomeData {
function buildUsagePoints(rows: StatMetricRow[], product: UsageProduct, range: UsageRange, window: DateWindow) {
const windowRows = rowsForProduct(rows, product, window.start, window.end)
const modelOrder = aggregateByModel(windowRows)
const rankStart = Math.max(window.start, window.end - 7 * DAY_MS)
const modelOrder = aggregateByModel(rowsForProduct(rows, product, rankStart, window.end))
.toSorted((a, b) => b.totalTokens - a.totalTokens)
.slice(0, 6)
.slice(0, TOP_MODEL_SEGMENT_LIMIT)
.map((item) => ({ key: modelKey(item.provider, item.model), model: item.model }))
return createBuckets(window, range).map((bucket) => {
@ -408,7 +411,7 @@ function buildMarketShare(rows: ProviderMetricRow[], product: UsageProduct, rang
}
function buildCountryStats(rows: GeoMetricRow[], window: DateWindow) {
const countries = aggregateByCountry(rowsForProduct(rows, "All Users", window.start, window.end))
const countries = aggregateByCountry(rowsForProduct(rows, SITE_PRODUCT, window.start, window.end))
.filter((item) => item.tokens > 0 && item.country !== "AQ")
.toSorted((a, b) => b.tokens - a.tokens)
const totalTokens = countries.reduce((sum, item) => sum + item.tokens, 0)

9
packages/stats/core/src/domain/model.ts
View File

@ -74,7 +74,14 @@ export class ModelStatRepo extends Context.Service<ModelStatRepo, ModelStatRepo.
totalCostMicrocents: modelStat.total_cost_microcents,
})
.from(modelStat)
.where(and(eq(modelStat.grain, "day"), eq(modelStat.client, "all"), eq(modelStat.source, "all")))
.where(
and(
eq(modelStat.grain, "day"),
eq(modelStat.client, "all"),
eq(modelStat.source, "all"),
inArray(modelStat.tier, ["Go", "go"]),
),
)
.orderBy(asc(modelStat.period_key)),
catch: (cause) => DatabaseError.make({ cause }),
})

9
packages/stats/core/src/domain/provider.ts
View File

@ -62,7 +62,14 @@ export class ProviderStatRepo extends Context.Service<ProviderStatRepo, Provider
totalTokens: providerStat.total_tokens,
})
.from(providerStat)
.where(and(eq(providerStat.grain, "day"), eq(providerStat.client, "all"), eq(providerStat.source, "all")))
.where(
and(
eq(providerStat.grain, "day"),
eq(providerStat.client, "all"),
eq(providerStat.source, "all"),
inArray(providerStat.tier, ["Go", "go"]),
),
)
.orderBy(asc(providerStat.period_key)),
catch: (cause) => DatabaseError.make({ cause }),
})