GHHG10's picture
download
raw
1.34 kB
import { Resource } from "@opencode-ai/console-resource"
import { getRedis } from "./redis"
// Workspaces whose balance/usage updates should be batched in Redis to avoid
// row-level lock contention on BillingTable / UserTable.
export const HOT_WORKSPACES = new Set<string>([
"wrk_01KJ8PX5CH50Y4YNGNS9ZR8YDC", // invoice
])
// Probability that a given request flushes the accumulated totals to the DB.
// Lower = fewer DB writes, more staleness. ~1 in 100 -> ~1% of requests write.
const FLUSH_PROBABILITY = 1 / 100
export async function accumulateUsage(workspaceID: string, userID: string, workspaceCost: number, userCost: number) {
const redis = getRedis()
const wKey = `${Resource.App.stage}:usage:wrk:${workspaceID}`
const uKey = `${Resource.App.stage}:usage:usr:${workspaceID}:${userID}`
await Promise.all([redis.incrby(wKey, workspaceCost), redis.incrby(uKey, userCost)])
if (Math.random() > FLUSH_PROBABILITY) return null
// Atomically take the current totals and reset to 0
const [workspaceTotal, userTotal] = await Promise.all([redis.getdel<number>(wKey), redis.getdel<number>(uKey)])
const workspaceFlush = Number(workspaceTotal ?? 0)
const userFlush = Number(userTotal ?? 0)
if (workspaceFlush === 0 && userFlush === 0) return null
return { workspaceCost: workspaceFlush, userCost: userFlush }
}

Xet Storage Details

Size:
1.34 kB
·
Xet hash:
96687a4b0dba3a02c8d2677328e56185138b84e9a502b26cc951f1ec664a6286

Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.