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import { Effect, Layer } from "effect"
import * as Context from "effect/Context"
import { DatabaseError, DrizzleClient } from "../database"
import { geoStat } from "../database/schema"
import { RETIRED_STAT_MODELS, RETIRED_STAT_PROVIDERS } from "./model-normalization"
import {
chunks,
collapseRows,
DATA_SITE_TIERS,
inserted,
isMissingUniqueUsersColumn,
omitUniqueUsers,
rankRowsWithMarketShare,
statPeriodKey,
statRowScope,
synthesizeAllTierRows,
toStatBaseRow,
UPSERT_CHUNK_SIZE,
type StatBaseAggregate,
} from "./stat"
export type GeoStatRow = typeof geoStat.$inferInsert
export type GeoStatAggregate = StatBaseAggregate & {
provider: string
model: string
country: string
continent: string
}
export type GeoStatMetric = {
periodKey: string
updatedAt: Date
tier: string
provider: string
model: string
country: string
continent: string
totalTokens: number
}
export declare namespace GeoStatRepo {
export interface Service {
readonly listDaily: (opts?: {
readonly provider?: string
readonly model?: string
}) => Effect.Effect<GeoStatMetric[], DatabaseError>
readonly listByPeriod: (opts: {
readonly grain: string
readonly periodKey: string
readonly dataset?: string
readonly tier?: string
readonly client?: string
readonly source?: string
readonly provider?: string
readonly model?: string
}) => Effect.Effect<GeoStatRow[], DatabaseError>
readonly upsert: (rows: GeoStatRow[]) => Effect.Effect<void, DatabaseError>
readonly deleteRetiredDimensions: (rows: GeoStatRow[]) => Effect.Effect<void, DatabaseError>
}
}
export class GeoStatRepo extends Context.Service<GeoStatRepo, GeoStatRepo.Service>()("@opencode/stats/GeoStatRepo") {
static readonly layer: Layer.Layer<GeoStatRepo, never, DrizzleClient> = Layer.effect(
GeoStatRepo,
Effect.gen(function* () {
const db = yield* DrizzleClient
const listDaily = Effect.fn("GeoStatRepo.listDaily")(function* (opts?: {
readonly provider?: string
readonly model?: string
}) {
const scope =
opts?.model && opts.provider
? and(eq(geoStat.provider, opts.provider), eq(geoStat.model, opts.model))
: opts?.model
? eq(geoStat.model, opts.model)
: and(eq(geoStat.provider, "all"), eq(geoStat.model, "all"))
return yield* Effect.tryPromise({
try: () =>
db
.select({
periodKey: geoStat.period_key,
updatedAt: geoStat.updated_at,
tier: geoStat.tier,
provider: geoStat.provider,
model: geoStat.model,
country: geoStat.country,
continent: geoStat.continent,
totalTokens: geoStat.total_tokens,
})
.from(geoStat)
.where(
and(
eq(geoStat.grain, "day"),
eq(geoStat.client, "all"),
eq(geoStat.source, "all"),
inArray(geoStat.tier, DATA_SITE_TIERS),
scope,
),
)
.orderBy(asc(geoStat.period_key)),
catch: (cause) => DatabaseError.make({ cause }),
})
})
const listByPeriod = Effect.fn("GeoStatRepo.listByPeriod")(function* (opts: {
readonly grain: string
readonly periodKey: string
readonly dataset?: string
readonly tier?: string
readonly client?: string
readonly source?: string
readonly provider?: string
readonly model?: string
}) {
return yield* Effect.tryPromise({
try: () =>
db
.select()
.from(geoStat)
.where(
and(
eq(geoStat.grain, opts.grain),
eq(geoStat.period_key, opts.periodKey),
eq(geoStat.dataset, opts.dataset ?? "zen"),
eq(geoStat.tier, opts.tier ?? "all"),
eq(geoStat.client, opts.client ?? "all"),
eq(geoStat.source, opts.source ?? "all"),
eq(geoStat.provider, opts.provider ?? "all"),
eq(geoStat.model, opts.model ?? "all"),
),
),
catch: (cause) => DatabaseError.make({ cause }),
})
})
const upsert = Effect.fn("GeoStatRepo.upsert")(function* (rows: GeoStatRow[]) {
yield* Effect.forEach(
chunks(rows, UPSERT_CHUNK_SIZE),
(chunk) =>
Effect.tryPromise({
try: async () => {
try {
return await upsertGeoChunk(chunk, true)
} catch (cause) {
if (!isMissingUniqueUsersColumn(cause)) throw cause
return upsertGeoChunk(chunk, false)
}
},
catch: (cause) => DatabaseError.make({ cause }),
}),
{ discard: true },
)
})
function upsertGeoChunk(chunk: GeoStatRow[], includeUniqueUsers: boolean) {
return db
.insert(geoStat)
.values(includeUniqueUsers ? chunk : omitUniqueUsers(chunk))
.onDuplicateKeyUpdate({
set: {
continent: inserted("continent"),
sessions: inserted("sessions"),
requests: inserted("requests"),
...(includeUniqueUsers ? { unique_users: inserted("unique_users") } : {}),
input_tokens: inserted("input_tokens"),
output_tokens: inserted("output_tokens"),
reasoning_tokens: inserted("reasoning_tokens"),
cache_read_tokens: inserted("cache_read_tokens"),
total_tokens: inserted("total_tokens"),
input_cost_microcents: inserted("input_cost_microcents"),
output_cost_microcents: inserted("output_cost_microcents"),
total_cost_microcents: inserted("total_cost_microcents"),
avg_duration_ms: inserted("avg_duration_ms"),
p50_duration_ms: inserted("p50_duration_ms"),
p95_duration_ms: inserted("p95_duration_ms"),
avg_ttfb_ms: inserted("avg_ttfb_ms"),
p50_ttfb_ms: inserted("p50_ttfb_ms"),
p95_ttfb_ms: inserted("p95_ttfb_ms"),
avg_output_tps: inserted("avg_output_tps"),
success_count: inserted("success_count"),
error_count: inserted("error_count"),
sample_count: inserted("sample_count"),
market_share_tokens: inserted("market_share_tokens"),
market_share_requests: inserted("market_share_requests"),
market_share_sessions: inserted("market_share_sessions"),
rank_by_tokens: inserted("rank_by_tokens"),
rank_by_requests: inserted("rank_by_requests"),
rank_by_sessions: inserted("rank_by_sessions"),
rank_by_cost: inserted("rank_by_cost"),
},
})
}
const deleteRetiredDimensions = Effect.fn("GeoStatRepo.deleteRetiredDimensions")(function* (rows: GeoStatRow[]) {
const scope = statRowScope(rows)
if (!scope) return
yield* Effect.tryPromise({
try: () =>
db
.delete(geoStat)
.where(
and(
inArray(geoStat.grain, scope.grains),
inArray(geoStat.period_key, scope.periodKeys),
inArray(geoStat.dataset, scope.datasets),
inArray(geoStat.client, scope.clients),
inArray(geoStat.source, scope.sources),
or(inArray(geoStat.provider, RETIRED_STAT_PROVIDERS), inArray(geoStat.model, RETIRED_STAT_MODELS)),
),
),
catch: (cause) => DatabaseError.make({ cause }),
})
})
return GeoStatRepo.of({ listDaily, listByPeriod, upsert, deleteRetiredDimensions })
}),
)
}
export function rowsFromAggregates(aggregates: GeoStatAggregate[]) {
return rankRowsWithMarketShare(
[
...synthesizeAllTierRows(
collapseRows(aggregates.filter((item) => item.grain === "week").map(toRow), dimensionKey),
dimensionKey,
),
...synthesizeAllTierRows(
collapseRows(aggregates.filter((item) => item.grain === "day").map(toRow), dimensionKey),
dimensionKey,
),
],
marketShareKey,
)
}
function toRow(data: GeoStatAggregate): GeoStatRow {
return {
...toStatBaseRow(data),
provider: data.provider,
model: data.model,
country: data.country,
continent: data.continent,
}
}
function dimensionKey(row: GeoStatRow) {
return [row.provider, row.model, row.country].join("\u0000")
}
function marketShareKey(row: GeoStatRow) {
return [statPeriodKey(row), row.provider, row.model].join("\u0000")
}
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