chore: merge dev into v2 (#36312)
Co-authored-by: opencode-agent[bot] <219766164+opencode-agent[bot]@users.noreply.github.com> Co-authored-by: LukeParkerDev <10430890+Hona@users.noreply.github.com> Co-authored-by: opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com> Co-authored-by: Aiden Cline <63023139+rekram1-node@users.noreply.github.com> Co-authored-by: Brendan Allan <14191578+Brendonovich@users.noreply.github.com> Co-authored-by: Aarav Sareen <96787824+arvsrn@users.noreply.github.com> Co-authored-by: Julian Coy <julian@ex-machina.co> Co-authored-by: Brendan Allan <git@brendonovich.dev> Co-authored-by: usrnk1 <7547651+usrnk1@users.noreply.github.com> Co-authored-by: opencode <opencode@sst.dev> Co-authored-by: Vladimir Glafirov <vglafirov@gitlab.com> Co-authored-by: Adam <2363879+adamdotdevin@users.noreply.github.com> Co-authored-by: Frank <frank@anoma.ly> Co-authored-by: Jay <53023+jayair@users.noreply.github.com> Co-authored-by: Dustin Deus <deusdustin@gmail.com> Co-authored-by: Kit Langton <kit.langton@gmail.com> Co-authored-by: James Long <longster@gmail.com> Co-authored-by: Simon Klee <hello@simonklee.dk> Co-authored-by: Jay <air@live.ca> Co-authored-by: Jack <jack@anoma.ly> Co-authored-by: David Hill <1879069+iamdavidhill@users.noreply.github.com> Co-authored-by: Aiden Cline <aidenpcline@gmail.com> Co-authored-by: James Long <jlongster@users.noreply.github.com> Co-authored-by: 冯基魁 <56265583+fengjikui@users.noreply.github.com> Co-authored-by: Aiden Cline <rekram1-node@users.noreply.github.com> Co-authored-by: Victor Navarro <vn4varro@gmail.com>
This commit is contained in:
co-authored by
opencode-agent[bot] <219766164+opencode-agent[bot]@users.noreply.github.com>
LukeParkerDev
opencode-agent[bot] <opencode-agent[bot]@users.noreply.github.com>
Aiden Cline
Brendan Allan
Aarav Sareen
Julian Coy
Brendan Allan
usrnk1
opencode
Vladimir Glafirov
Adam
Frank
Jay
Dustin Deus
Kit Langton
James Long
Simon Klee
Jay
Jack
David Hill
Aiden Cline
James Long
冯基魁
Aiden Cline
Victor Navarro
parent
9028c2d8f8
commit
43ecf3ff1b
@@ -113,32 +113,32 @@ const poll: (
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return yield* poll(client, queryExecutionId, attempt + 1)
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})
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const results: (
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client: AwsAthenaClient,
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queryExecutionId: string,
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nextToken?: string,
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) => Effect.Effect<AthenaData[], AthenaQueryError> = Effect.fn("Athena.results")(function* (
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client: AwsAthenaClient,
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queryExecutionId: string,
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nextToken?: string,
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) {
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const result = yield* Effect.tryPromise({
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try: () =>
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client.send(
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new GetQueryResultsCommand({
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QueryExecutionId: queryExecutionId,
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NextToken: nextToken,
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MaxResults: ATHENA_PAGE_SIZE,
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}),
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),
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catch: (cause) => new AthenaQueryError({ message: "Failed to read Athena stats results", queryExecutionId, cause }),
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const results: (client: AwsAthenaClient, queryExecutionId: string) => Effect.Effect<AthenaData[], AthenaQueryError> =
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Effect.fn("Athena.results")(function* (client: AwsAthenaClient, queryExecutionId: string) {
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// Accumulate pages iteratively; recursive spreads copied every previously
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// fetched row per page and blew up memory on large result sets.
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const rows: AthenaData[] = []
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let nextToken: string | undefined
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while (true) {
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const result = yield* Effect.tryPromise({
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try: () =>
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client.send(
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new GetQueryResultsCommand({
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QueryExecutionId: queryExecutionId,
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NextToken: nextToken,
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MaxResults: ATHENA_PAGE_SIZE,
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}),
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),
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catch: (cause) =>
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new AthenaQueryError({ message: "Failed to read Athena stats results", queryExecutionId, cause }),
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})
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const columns = result.ResultSet?.ResultSetMetadata?.ColumnInfo?.map((item) => item.Name ?? "") ?? []
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// The first page starts with the header row.
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for (const row of (result.ResultSet?.Rows ?? []).slice(nextToken ? 0 : 1)) rows.push(rowData(columns, row))
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if (!result.NextToken) return rows
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nextToken = result.NextToken
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}
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})
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const columns = result.ResultSet?.ResultSetMetadata?.ColumnInfo?.map((item) => item.Name ?? "") ?? []
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const rows = (result.ResultSet?.Rows ?? []).slice(nextToken ? 0 : 1).map((row) => rowData(columns, row))
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if (!result.NextToken) return rows
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return [...rows, ...(yield* results(client, queryExecutionId, result.NextToken))]
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})
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function rowData(columns: string[], row: Row): AthenaData {
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return Object.fromEntries(
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@@ -94,10 +94,15 @@ export type StatsModelComparisonEntry = {
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tokenShare: number
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tokenChange: number
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totals: StatsModelData["totals"]
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usage: ModelUsagePoint[]
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}
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export type StatsModelComparisonInput = {
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provider: string
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model: string
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}
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export type StatsModelComparisonData = {
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updatedAt: string | null
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models: [StatsModelComparisonEntry | null, StatsModelComparisonEntry | null]
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models: (StatsModelComparisonEntry | null)[]
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}
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export type StatsHomeData = {
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updatedAt: string | null
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@@ -289,27 +294,35 @@ function dateValue(value: unknown) {
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return value instanceof Date ? value : new Date(stringValue(value))
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}
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export const getStatsModelComparisonData: (
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firstProvider: string,
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firstModel: string,
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secondProvider: string,
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secondModel: string,
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) => Effect.Effect<StatsModelComparisonData, DatabaseError, ModelStatRepo> = Effect.fn("StatsModelComparison.getData")(
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function* (firstProvider, firstModel, secondProvider, secondModel) {
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export const getStatsModelsComparisonData: (
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models: readonly StatsModelComparisonInput[],
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) => Effect.Effect<StatsModelComparisonData, DatabaseError, ModelStatRepo> = Effect.fn("StatsModelsComparison.getData")(
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function* (models) {
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const modelStats = yield* ModelStatRepo
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const rows = yield* modelStats.listDaily()
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const first = toComparisonEntry(buildStatsModelData(firstModel, rows, [], firstProvider))
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const second = toComparisonEntry(buildStatsModelData(secondModel, rows, [], secondProvider))
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const latest = [first?.updatedAt, second?.updatedAt]
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const entries = models.map((model) => toComparisonEntry(buildStatsModelData(model.model, rows, [], model.provider)))
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const latest = entries
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.map((model) => model?.updatedAt)
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.flatMap((value) => (value ? [dateTime(value)] : []))
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.toSorted((a, b) => b - a)[0]
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return {
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updatedAt: latest === undefined ? null : new Date(latest).toISOString(),
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models: [first, second],
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models: entries,
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}
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},
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)
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export const getStatsModelComparisonData = (
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firstProvider: string,
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firstModel: string,
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secondProvider: string,
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secondModel: string,
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) =>
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getStatsModelsComparisonData([
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{ provider: firstProvider, model: firstModel },
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{ provider: secondProvider, model: secondModel },
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])
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function buildStatsHomeData(
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modelRows: ModelStatMetric[],
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providerRows: ProviderStatMetric[],
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@@ -501,6 +514,7 @@ function toComparisonEntry(data: StatsModelData | null): StatsModelComparisonEnt
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tokenShare: data.tokenShare,
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tokenChange: data.tokenChange,
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totals: data.totals,
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usage: data.usage,
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}
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}
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@@ -14,7 +14,10 @@ import { normalizeCountry, normalizeTier, type StatBaseAggregate } from "./stat"
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export type StatDimension = "model" | "provider" | "geo" | "geo_model"
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export function buildStatsQuery(periodStart: Date, periodEnd: Date, dimension: StatDimension) {
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// All stat dimensions and both grains are computed in one query via GROUPING SETS so
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// the source table is scanned once per sync pass; separate queries per dimension (and
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// the previous weekly/daily UNION ALL) each re-scanned the same events.
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export function buildStatsQuery(periodStart: Date, periodEnd: Date) {
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const periodStartValue = sqlString(periodStart.toISOString())
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const periodEndValue = sqlString(periodEnd.toISOString())
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const periodStartDateValue = sqlString(periodStart.toISOString().slice(0, 10))
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@@ -22,23 +25,6 @@ export function buildStatsQuery(periodStart: Date, periodEnd: Date, dimension: S
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const sourceTable = [Resource.InferenceEvent.catalog, Resource.InferenceEvent.database, Resource.InferenceEvent.table]
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.map(sqlIdentifier)
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.join(".")
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const dimensionSql = (() => {
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if (dimension === "model")
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return {
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select: "provider, model, COALESCE(MAX(NULLIF(provider_model, '')), '') AS provider_model",
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groupBy: "provider, model",
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}
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if (dimension === "provider") return { select: "provider", groupBy: "provider" }
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if (dimension === "geo_model")
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return {
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select: "provider, model, country, COALESCE(MAX(NULLIF(continent, '')), '') AS continent",
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groupBy: "provider, model, country",
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}
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return {
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select: "'all' AS provider, 'all' AS model, country, COALESCE(MAX(NULLIF(continent, '')), '') AS continent",
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groupBy: "country",
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}
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})()
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const aggregateColumns = `
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COUNT(DISTINCT session) AS sessions,
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COUNT(*) AS requests,
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@@ -135,34 +121,41 @@ WITH normalized AS (
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COALESCE(cost_total_microcents, cost_total * 1000000) AS cost_total_microcents
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FROM normalized
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WHERE lower(model) NOT IN (${[...EXCLUDED_MODELS].map(sqlString).join(", ")})
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), weekly AS (
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), periods AS (
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SELECT
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concat(CAST(year_of_week(event_time) AS varchar), '-W', lpad(CAST(week(event_time) AS varchar), 2, '0')) AS week_key,
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substr(to_iso8601(date_trunc('day', event_time)), 1, 10) AS day_key,
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*
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FROM filtered
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), daily AS (
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SELECT substr(to_iso8601(date_trunc('day', event_time)), 1, 10) AS day_key, *
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FROM filtered
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)
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SELECT
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'week' AS grain,
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week_key AS period_key,
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CASE WHEN grouping(week_key) = 0 THEN 'week' ELSE 'day' END AS grain,
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COALESCE(week_key, day_key) AS period_key,
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${sqlString(Resource.StatsSyncConfig.dataset)} AS dataset,
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CASE
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WHEN grouping(country) = 0 AND grouping(model) = 0 THEN 'geo_model'
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WHEN grouping(country) = 0 THEN 'geo'
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WHEN grouping(model) = 0 THEN 'model'
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ELSE 'provider'
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END AS dimension,
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tier,
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${dimensionSql.select},
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CASE WHEN grouping(provider) = 0 THEN provider ELSE 'all' END AS provider,
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CASE WHEN grouping(model) = 0 THEN model WHEN grouping(country) = 0 THEN 'all' END AS model,
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CASE WHEN grouping(model) = 0 AND grouping(country) = 1 THEN COALESCE(MAX(NULLIF(provider_model, '')), '') END AS provider_model,
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CASE WHEN grouping(country) = 0 THEN country END AS country,
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CASE WHEN grouping(country) = 0 THEN COALESCE(MAX(NULLIF(continent, '')), '') END AS continent,
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${aggregateColumns}
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FROM weekly
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GROUP BY week_key, tier, ${dimensionSql.groupBy}
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UNION ALL
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SELECT
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'day' AS grain,
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day_key AS period_key,
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${sqlString(Resource.StatsSyncConfig.dataset)} AS dataset,
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tier,
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${dimensionSql.select},
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${aggregateColumns}
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FROM daily
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GROUP BY day_key, tier, ${dimensionSql.groupBy}
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FROM periods
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GROUP BY GROUPING SETS (
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(week_key, tier, provider, model),
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(week_key, tier, provider),
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(week_key, tier, country),
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(week_key, tier, provider, model, country),
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(day_key, tier, provider, model),
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(day_key, tier, provider),
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(day_key, tier, country),
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(day_key, tier, provider, model, country)
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)
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ORDER BY grain, period_key, total_tokens DESC
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`
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}
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@@ -1,4 +1,4 @@
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import { and, asc, eq, inArray, or } from "drizzle-orm"
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import { and, asc, eq, inArray, max, or } from "drizzle-orm"
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import { Effect, Layer } from "effect"
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import * as Context from "effect/Context"
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import { DatabaseError, DrizzleClient } from "../database"
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@@ -43,6 +43,7 @@ export type ModelStatMetric = {
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export declare namespace ModelStatRepo {
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export interface Service {
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readonly listDaily: () => Effect.Effect<ModelStatMetric[], DatabaseError>
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readonly lastSyncedAt: () => Effect.Effect<Date | null, DatabaseError>
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readonly upsert: (rows: ModelStatRow[]) => Effect.Effect<void, DatabaseError>
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readonly deleteRetiredDimensions: (rows: ModelStatRow[]) => Effect.Effect<void, DatabaseError>
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}
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@@ -111,6 +112,14 @@ export class ModelStatRepo extends Context.Service<ModelStatRepo, ModelStatRepo.
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})
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})
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const lastSyncedAt = Effect.fn("ModelStatRepo.lastSyncedAt")(function* () {
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const result = yield* Effect.tryPromise({
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try: () => db.select({ value: max(modelStat.updated_at) }).from(modelStat),
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catch: (cause) => DatabaseError.make({ cause }),
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})
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return result[0]?.value ?? null
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})
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const upsert = Effect.fn("ModelStatRepo.upsert")(function* (rows: ModelStatRow[]) {
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yield* Effect.forEach(
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chunks(rows, UPSERT_CHUNK_SIZE),
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@@ -192,7 +201,7 @@ export class ModelStatRepo extends Context.Service<ModelStatRepo, ModelStatRepo.
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})
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})
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return ModelStatRepo.of({ listDaily, upsert, deleteRetiredDimensions })
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return ModelStatRepo.of({ listDaily, lastSyncedAt, upsert, deleteRetiredDimensions })
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}),
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)
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}
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@@ -12,85 +12,90 @@ const DATALAKE_INGESTION_LAG_MS = 5 * 60_000
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const STATS_DATA_START_MS = new Date("2026-05-28T00:00:00.000Z").getTime()
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const WEEK_MS = 7 * 86_400_000
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const DISPLAY_WINDOW_MS = 56 * 86_400_000
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// Anchor incremental passes to the ISO week containing this lookback, so the pass
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// after a week boundary still recomputes the previous week's final aggregates even
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// if the boundary pass itself failed.
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const INCREMENTAL_LOOKBACK_MS = 2 * 3_600_000
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export type SyncStatsResult = { ok: true; rows: number; startedAt: string; periodStart: string; periodEnd: string }
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export type SyncStatsError = AthenaQueryError | AthenaQueryTimeoutError | DatabaseError
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export const syncStats: () => Effect.Effect<
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SyncStatsResult,
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SyncStatsError,
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Athena | ModelStatRepo | ProviderStatRepo | GeoStatRepo
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> = Effect.fn("StatSync.sync")(function* () {
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const startedAt = yield* DateTime.nowAsDate
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const periodEnd = new Date(Math.floor((startedAt.getTime() - DATALAKE_INGESTION_LAG_MS) / 60_000) * 60_000)
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// May 27 was partial, so keep Athena stats anchored at the first complete day.
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const periodStart = new Date(
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export const syncStats: (options?: {
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full?: boolean
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}) => Effect.Effect<SyncStatsResult, SyncStatsError, Athena | ModelStatRepo | ProviderStatRepo | GeoStatRepo> =
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Effect.fn("StatSync.sync")(function* (options?: { full?: boolean }) {
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const startedAt = yield* DateTime.nowAsDate
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const periodEnd = new Date(Math.floor((startedAt.getTime() - DATALAKE_INGESTION_LAG_MS) / 60_000) * 60_000)
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const periodStart = options?.full ? fullPeriodStart(periodEnd) : incrementalPeriodStart(periodEnd)
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const athena = yield* Athena
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const modelStats = yield* ModelStatRepo
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const providerStats = yield* ProviderStatRepo
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const geoStats = yield* GeoStatRepo
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yield* logRuntimeCheck()
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const rows = yield* athena.query(buildStatsQuery(periodStart, periodEnd))
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const modelRows = modelRowsFromAggregates(rows.filter((row) => row.dimension === "model").flatMap(toModelAggregate))
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const providerRows = providerRowsFromAggregates(
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rows.filter((row) => row.dimension === "provider").flatMap(toProviderAggregate),
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)
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const geoRows = geoRowsFromAggregates(
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rows.filter((row) => row.dimension === "geo" || row.dimension === "geo_model").flatMap(toGeoAggregate),
|
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)
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yield* Effect.all([modelStats.upsert(modelRows), providerStats.upsert(providerRows), geoStats.upsert(geoRows)], {
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concurrency: "unbounded",
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discard: true,
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})
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yield* Effect.all(
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[
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modelStats.deleteRetiredDimensions(modelRows),
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providerStats.deleteRetiredDimensions(providerRows),
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geoStats.deleteRetiredDimensions(geoRows),
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],
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{ concurrency: "unbounded", discard: true },
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)
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yield* Effect.logInfo(
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`stats sync complete ${JSON.stringify({
|
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startedAt: startedAt.toISOString(),
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periodStart: periodStart.toISOString(),
|
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periodEnd: periodEnd.toISOString(),
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rows: modelRows.length,
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providerRows: providerRows.length,
|
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geoRows: geoRows.length,
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stage: Resource.App.stage,
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})}`,
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)
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|
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return {
|
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ok: true,
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rows: modelRows.length,
|
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startedAt: startedAt.toISOString(),
|
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periodStart: periodStart.toISOString(),
|
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periodEnd: periodEnd.toISOString(),
|
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}
|
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})
|
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|
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// May 27 was partial, so keep Athena stats anchored at the first complete day.
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function fullPeriodStart(periodEnd: Date) {
|
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return new Date(
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Math.max(
|
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Math.min(startOfIsoWeek(periodEnd).getTime() - WEEK_MS, periodEnd.getTime() - DISPLAY_WINDOW_MS),
|
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STATS_DATA_START_MS,
|
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),
|
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)
|
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const athena = yield* Athena
|
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const modelStats = yield* ModelStatRepo
|
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const providerStats = yield* ProviderStatRepo
|
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const geoStats = yield* GeoStatRepo
|
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}
|
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|
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yield* logRuntimeCheck()
|
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|
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const [modelAggregates, providerAggregates, geoAggregates, geoModelAggregates] = yield* Effect.all(
|
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[
|
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athena
|
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.query(buildStatsQuery(periodStart, periodEnd, "model"))
|
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.pipe(Effect.map((rows) => rows.flatMap(toModelAggregate))),
|
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athena
|
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.query(buildStatsQuery(periodStart, periodEnd, "provider"))
|
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.pipe(Effect.map((rows) => rows.flatMap(toProviderAggregate))),
|
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athena
|
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.query(buildStatsQuery(periodStart, periodEnd, "geo"))
|
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.pipe(Effect.map((rows) => rows.flatMap(toGeoAggregate))),
|
||||
athena
|
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.query(buildStatsQuery(periodStart, periodEnd, "geo_model"))
|
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.pipe(Effect.map((rows) => rows.flatMap(toGeoAggregate))),
|
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],
|
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{ concurrency: "unbounded" },
|
||||
// Events are append-only, so completed periods never change once synced; hourly
|
||||
// passes only recompute the periods the current ISO week can still touch. The daily
|
||||
// full pass refreshes the whole display window (normalization changes, retired
|
||||
// dimension cleanup).
|
||||
function incrementalPeriodStart(periodEnd: Date) {
|
||||
return new Date(
|
||||
Math.max(startOfIsoWeek(new Date(periodEnd.getTime() - INCREMENTAL_LOOKBACK_MS)).getTime(), STATS_DATA_START_MS),
|
||||
)
|
||||
const modelRows = modelRowsFromAggregates(modelAggregates)
|
||||
const providerRows = providerRowsFromAggregates(providerAggregates)
|
||||
const geoRows = geoRowsFromAggregates([...geoAggregates, ...geoModelAggregates])
|
||||
|
||||
yield* Effect.all([modelStats.upsert(modelRows), providerStats.upsert(providerRows), geoStats.upsert(geoRows)], {
|
||||
concurrency: "unbounded",
|
||||
discard: true,
|
||||
})
|
||||
yield* Effect.all(
|
||||
[
|
||||
modelStats.deleteRetiredDimensions(modelRows),
|
||||
providerStats.deleteRetiredDimensions(providerRows),
|
||||
geoStats.deleteRetiredDimensions(geoRows),
|
||||
],
|
||||
{ concurrency: "unbounded", discard: true },
|
||||
)
|
||||
|
||||
yield* Effect.logInfo(
|
||||
`stats sync complete ${JSON.stringify({
|
||||
startedAt: startedAt.toISOString(),
|
||||
periodStart: periodStart.toISOString(),
|
||||
periodEnd: periodEnd.toISOString(),
|
||||
rows: modelRows.length,
|
||||
providerRows: providerRows.length,
|
||||
geoRows: geoRows.length,
|
||||
stage: Resource.App.stage,
|
||||
})}`,
|
||||
)
|
||||
|
||||
return {
|
||||
ok: true,
|
||||
rows: modelRows.length,
|
||||
startedAt: startedAt.toISOString(),
|
||||
periodStart: periodStart.toISOString(),
|
||||
periodEnd: periodEnd.toISOString(),
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
function logRuntimeCheck() {
|
||||
return Effect.logInfo(
|
||||
|
||||
Reference in New Issue
Block a user