Track session usage totals (#26644)
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@@ -2,7 +2,9 @@ import { Context, Effect, Layer } from "effect"
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import { Database } from "./storage/db"
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import { DataMigrationTable } from "./data-migration.sql"
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import * as Log from "@opencode-ai/core/util/log"
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import { eq } from "drizzle-orm"
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import { and, asc, eq, gt, inArray, sql } from "drizzle-orm"
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import { MessageTable, SessionTable } from "./session/session.sql"
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import type { SessionID } from "./session/schema"
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export type Migration<R = never> = {
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name: string
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@@ -18,7 +20,101 @@ export class Service extends Context.Service<Service, Interface>()("@opencode/Da
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export const layer = Layer.effect(
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Service,
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Effect.gen(function* () {
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const migrations: Migration[] = []
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const migrations: Migration[] = [
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{
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name: "session_usage_from_messages",
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run: Effect.gen(function* () {
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type Usage = {
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cost: number
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tokens: { input: number; output: number; reasoning: number; cache: { read: number; write: number } }
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}
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for (let cursor: SessionID | undefined, page = 1; ; page++) {
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const next = yield* Effect.gen(function* () {
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const sessions = yield* Effect.sync(() =>
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Database.use((db) =>
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db
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.select({ id: SessionTable.id })
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.from(SessionTable)
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.where(cursor ? gt(SessionTable.id, cursor) : undefined)
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.orderBy(asc(SessionTable.id))
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.limit(100)
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.all(),
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),
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)
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if (sessions.length === 0) return
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yield* Effect.sync(() =>
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Database.transaction((db) => {
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const usageBySession = new Map<SessionID, Usage>(
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sessions.map((session) => [
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session.id,
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{ cost: 0, tokens: { input: 0, output: 0, reasoning: 0, cache: { read: 0, write: 0 } } },
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]),
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)
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for (const row of db
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.select({
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session_id: MessageTable.session_id,
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cost: sql<number>`coalesce(sum(coalesce(json_extract(${MessageTable.data}, '$.cost'), 0)), 0)`,
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tokens_input: sql<number>`coalesce(sum(coalesce(json_extract(${MessageTable.data}, '$.tokens.input'), 0)), 0)`,
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tokens_output: sql<number>`coalesce(sum(coalesce(json_extract(${MessageTable.data}, '$.tokens.output'), 0)), 0)`,
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tokens_reasoning: sql<number>`coalesce(sum(coalesce(json_extract(${MessageTable.data}, '$.tokens.reasoning'), 0)), 0)`,
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tokens_cache_read: sql<number>`coalesce(sum(coalesce(json_extract(${MessageTable.data}, '$.tokens.cache.read'), 0)), 0)`,
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tokens_cache_write: sql<number>`coalesce(sum(coalesce(json_extract(${MessageTable.data}, '$.tokens.cache.write'), 0)), 0)`,
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})
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.from(MessageTable)
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.where(
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and(
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inArray(MessageTable.session_id, sessions.map((session) => session.id)),
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sql`json_extract(${MessageTable.data}, '$.role') = 'assistant'`,
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),
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)
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.groupBy(MessageTable.session_id)
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.all()) {
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const current = usageBySession.get(row.session_id)
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if (!current) continue
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current.cost = row.cost
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current.tokens.input = row.tokens_input
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current.tokens.output = row.tokens_output
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current.tokens.reasoning = row.tokens_reasoning
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current.tokens.cache.read = row.tokens_cache_read
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current.tokens.cache.write = row.tokens_cache_write
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}
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for (const [sessionID, value] of usageBySession) {
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db.update(SessionTable)
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.set({
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cost: value.cost,
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tokens_input: value.tokens.input,
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tokens_output: value.tokens.output,
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tokens_reasoning: value.tokens.reasoning,
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tokens_cache_read: value.tokens.cache.read,
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tokens_cache_write: value.tokens.cache.write,
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})
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.where(eq(SessionTable.id, sessionID))
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.run()
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}
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}),
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)
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return sessions.at(-1)?.id
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}).pipe(
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Effect.withSpan("DataMigration.sessionUsage.page", {
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attributes: {
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"data_migration.name": "session_usage_from_messages",
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"data_migration.page": page,
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"data_migration.cursor": cursor ?? "",
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},
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}),
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)
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if (!next) return
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cursor = next
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yield* Effect.sleep("10 millis")
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}
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}),
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},
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]
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yield* Effect.gen(function* () {
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if (migrations.length === 0) return
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