stacker.news/worker/earn.js

190 lines
7.1 KiB
JavaScript

import { notifyEarner } from '@/lib/webPush.js'
import createPrisma from '@/lib/create-prisma.js'
import { proportions } from '@/lib/madness.js'
import { SN_NO_REWARDS_IDS } from '@/lib/constants.js'
const TOTAL_UPPER_BOUND_MSATS = 1_000_000_000
export async function earn ({ name }) {
// grab a greedy connection
const models = createPrisma({ connectionParams: { connection_limit: 1 } })
try {
// compute how much sn earned yesterday
const [{ sum: sumDecimal }] = await models.$queryRaw`
SELECT sum(total) as sum
FROM rewards(
date_trunc('day', now() AT TIME ZONE 'America/Chicago' - interval '1 day'),
date_trunc('day', now() AT TIME ZONE 'America/Chicago' - interval '1 day'), '1 day'::INTERVAL, 'day')`
// XXX primsa will return a Decimal (https://mikemcl.github.io/decimal.js)
// because sum of a BIGINT returns a NUMERIC type (https://www.postgresql.org/docs/13/functions-aggregate.html)
// and Decimal is what prisma maps it to
// https://www.prisma.io/docs/concepts/components/prisma-client/raw-database-access#raw-query-type-mapping
// so check it before coercing to Number
if (!sumDecimal || sumDecimal.lessThanOrEqualTo(0)) {
console.log('done', name, 'no sats to award today')
return
}
// extra sanity check on rewards ... if it's more than upper bound, we
// probably have a bug somewhere or we've grown A LOT
if (sumDecimal.greaterThan(TOTAL_UPPER_BOUND_MSATS)) {
console.log('done', name, 'error: too many sats to award today', sumDecimal)
return
}
const sum = Number(sumDecimal)
console.log(name, 'giving away', sum, 'msats', 'rewarding all')
/*
How earnings (used to) work:
1/3: top 21% posts over last 36 hours, scored on a relative basis
1/3: top 21% comments over last 36 hours, scored on a relative basis
1/3: top upvoters of top posts/comments, scored on:
- their trust
- how much they tipped
- how early they upvoted it
- how the post/comment scored
Now: 80% of earnings go to top 100 stackers by value, and 10% each to their forever and one day referrers
*/
// get earners { userId, id, type, rank, proportion, foreverReferrerId, oneDayReferrerId }
const earners = await models.$queryRaw`
WITH earners AS (
SELECT users.id AS "userId", users."referrerId" AS "foreverReferrerId",
proportion, (ROW_NUMBER() OVER (ORDER BY proportion DESC))::INTEGER AS rank
FROM user_values(
date_trunc('day', now() AT TIME ZONE 'America/Chicago' - interval '1 day'),
date_trunc('day', now() AT TIME ZONE 'America/Chicago' - interval '1 day'),
'1 day'::INTERVAL,
'day') uv
JOIN users ON users.id = uv.id
WHERE NOT (users.id = ANY (${SN_NO_REWARDS_IDS}))
ORDER BY proportion DESC
LIMIT 100
)
SELECT earners.*,
COALESCE(
mode() WITHIN GROUP (ORDER BY "OneDayReferral"."referrerId"),
earners."foreverReferrerId") AS "oneDayReferrerId"
FROM earners
LEFT JOIN "OneDayReferral" ON "OneDayReferral"."refereeId" = earners."userId"
WHERE "OneDayReferral".created_at >= date_trunc('day', now() AT TIME ZONE 'America/Chicago' - interval '1 day')
GROUP BY earners."userId", earners."foreverReferrerId", earners.proportion, earners.rank
ORDER BY rank ASC`
// in order to group earnings for users we use the same createdAt time for
// all earnings
const createdAt = new Date(new Date().getTime())
// stmts is an array of prisma promises we'll call after the loop
const stmts = []
// this is just a sanity check because it seems like a good idea
let total = 0
const notifications = {}
for (const [i, earner] of earners.entries()) {
const foreverReferrerEarnings = Math.floor(parseFloat(earner.proportion * sum * 0.1)) // 10% of earnings
let oneDayReferrerEarnings = Math.floor(parseFloat(earner.proportion * sum * 0.1)) // 10% of earnings
const earnerEarnings = Math.floor(parseFloat(proportions[i] * sum)) - foreverReferrerEarnings - oneDayReferrerEarnings
total += earnerEarnings + foreverReferrerEarnings + oneDayReferrerEarnings
if (total > sum) {
console.log(name, 'total exceeds sum', total, '>', sum)
return
}
console.log(
'stacker', earner.userId,
'earned', earnerEarnings,
'proportion', earner.proportion,
'rank', earner.rank,
'type', earner.type,
'foreverReferrer', earner.foreverReferrerId,
'foreverReferrerEarnings', foreverReferrerEarnings,
'oneDayReferrer', earner.oneDayReferrerId,
'oneDayReferrerEarnings', oneDayReferrerEarnings)
if (earnerEarnings > 0) {
stmts.push(...earnStmts({
msats: earnerEarnings,
userId: earner.userId,
createdAt,
type: earner.type,
rank: earner.rank
}, { models }))
const userN = notifications[earner.userId] || {}
// sum total
const prevMsats = userN.msats || 0
const msats = earnerEarnings + prevMsats
// sum total per earn type (POST, COMMENT, TIP_COMMENT, TIP_POST)
const prevEarnTypeMsats = userN[earner.type]?.msats || 0
const earnTypeMsats = earnerEarnings + prevEarnTypeMsats
// best (=lowest) rank per earn type
const prevEarnTypeBestRank = userN[earner.type]?.bestRank
const earnTypeBestRank = prevEarnTypeBestRank
? Math.min(prevEarnTypeBestRank, Number(earner.rank))
: Number(earner.rank)
notifications[earner.userId] = {
...userN,
msats,
[earner.type]: { msats: earnTypeMsats, bestRank: earnTypeBestRank }
}
}
if (earner.foreverReferrerId && foreverReferrerEarnings > 0) {
stmts.push(...earnStmts({
msats: foreverReferrerEarnings,
userId: earner.foreverReferrerId,
createdAt,
type: 'FOREVER_REFERRAL',
rank: earner.rank
}, { models }))
} else if (earner.oneDayReferrerId) {
// if the person doesn't have a forever referrer yet, they give double to their one day referrer
oneDayReferrerEarnings += foreverReferrerEarnings
}
if (earner.oneDayReferrerId && oneDayReferrerEarnings > 0) {
stmts.push(...earnStmts({
msats: oneDayReferrerEarnings,
userId: earner.oneDayReferrerId,
createdAt,
type: 'ONE_DAY_REFERRAL',
rank: earner.rank
}, { models }))
}
}
// execute all the transactions
await models.$transaction(stmts)
Promise.allSettled(
Object.entries(notifications).map(([userId, earnings]) => notifyEarner(parseInt(userId, 10), earnings))
).catch(console.error)
} finally {
models.$disconnect().catch(console.error)
}
}
function earnStmts (data, { models }) {
const { msats, userId } = data
return [
models.earn.create({ data }),
models.user.update({
where: { id: userId },
data: {
msats: { increment: msats },
stackedMsats: { increment: msats }
}
})]
}