159 lines
7.4 KiB
JavaScript
159 lines
7.4 KiB
JavaScript
const serialize = require('../api/resolvers/serial')
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const { ANON_USER_ID } = require('../lib/constants')
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// const ITEM_EACH_REWARD = 3.0
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// const UPVOTE_EACH_REWARD = 6.0
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const TOP_PERCENTILE = 21
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const TOTAL_UPPER_BOUND_MSATS = 1000000000
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const REDUCE_REWARDS = [616, 6030, 946, 4502]
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function earn ({ models }) {
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return async function ({ name }) {
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console.log('running', name)
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// compute how much sn earned today
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const [{ sum: sumDecimal }] = await models.$queryRaw`
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SELECT coalesce(sum(msats), 0) as sum
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FROM (
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(SELECT ("ItemAct".msats - COALESCE("ReferralAct".msats, 0)) as msats
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FROM "ItemAct"
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LEFT JOIN "ReferralAct" ON "ReferralAct"."itemActId" = "ItemAct".id
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WHERE date_trunc('day', "ItemAct".created_at AT TIME ZONE 'UTC' AT TIME ZONE 'America/Chicago') = date_trunc('day', (now() - interval '1 day') AT TIME ZONE 'America/Chicago') AND "ItemAct".act <> 'TIP')
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UNION ALL
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(SELECT sats * 1000 as msats
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FROM "Donation"
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WHERE date_trunc('day', created_at AT TIME ZONE 'UTC' AT TIME ZONE 'America/Chicago') = date_trunc('day', (now() - interval '1 day') AT TIME ZONE 'America/Chicago'))
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UNION ALL
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-- any earnings from anon's stack that are not forwarded to other users
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(SELECT "ItemAct".msats
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FROM "Item"
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JOIN "ItemAct" ON "ItemAct"."itemId" = "Item".id
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LEFT JOIN "ItemForward" ON "ItemForward"."itemId" = "Item".id
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WHERE "Item"."userId" = ${ANON_USER_ID} AND "ItemAct".act = 'TIP'
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AND date_trunc('day', "ItemAct".created_at AT TIME ZONE 'UTC' AT TIME ZONE 'America/Chicago') = date_trunc('day', (now() - interval '1 day') AT TIME ZONE 'America/Chicago')
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GROUP BY "ItemAct".id, "ItemAct".msats
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HAVING COUNT("ItemForward".id) = 0)
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) subquery`
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// XXX primsa will return a Decimal (https://mikemcl.github.io/decimal.js)
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// because sum of a BIGINT returns a NUMERIC type (https://www.postgresql.org/docs/13/functions-aggregate.html)
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// and Decimal is what prisma maps it to https://www.prisma.io/docs/concepts/components/prisma-client/raw-database-access#raw-query-type-mapping
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// so check it before coercing to Number
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if (!sumDecimal || sumDecimal.lessThanOrEqualTo(0)) {
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console.log('done', name, 'no sats to award today')
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return
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}
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// extra sanity check on rewards ... if it's more than upper bound, we
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// probably have a bug somewhere or we've grown A LOT
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if (sumDecimal.greaterThan(TOTAL_UPPER_BOUND_MSATS)) {
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console.log('done', name, 'error: too many sats to award today', sumDecimal)
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return
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}
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const sum = Number(sumDecimal)
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console.log(name, 'giving away', sum, 'msats')
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/*
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How earnings (used to) work:
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1/3: top 21% posts over last 36 hours, scored on a relative basis
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1/3: top 21% comments over last 36 hours, scored on a relative basis
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1/3: top upvoters of top posts/comments, scored on:
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- their trust
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- how much they tipped
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- how early they upvoted it
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- how the post/comment scored
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Now: 100% of earnings go to zappers of the top 21% of posts/comments
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*/
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// get earners { userId, id, type, rank, proportion }
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const earners = await models.$queryRaw`
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-- get top 21% of posts and comments
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WITH item_ratios AS (
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SELECT *,
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CASE WHEN "parentId" IS NULL THEN 'POST' ELSE 'COMMENT' END as type,
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CASE WHEN "weightedVotes" > 0 THEN "weightedVotes"/(sum("weightedVotes") OVER (PARTITION BY "parentId" IS NULL)) ELSE 0 END AS ratio
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FROM (
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SELECT *,
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NTILE(100) OVER (PARTITION BY "parentId" IS NULL ORDER BY ("weightedVotes"-"weightedDownVotes") desc) AS percentile,
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ROW_NUMBER() OVER (PARTITION BY "parentId" IS NULL ORDER BY ("weightedVotes"-"weightedDownVotes") desc) AS rank
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FROM
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"Item"
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WHERE created_at >= now_utc() - interval '36 hours'
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AND "weightedVotes" > 0 AND "deletedAt" IS NULL AND NOT bio
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) x
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WHERE x.percentile <= ${TOP_PERCENTILE}
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),
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-- get top upvoters of top posts and comments
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upvoter_islands AS (
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SELECT "ItemAct"."userId", item_ratios.id, item_ratios.ratio, item_ratios."parentId",
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"ItemAct".msats as tipped, "ItemAct".created_at as acted_at,
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ROW_NUMBER() OVER (partition by item_ratios.id order by "ItemAct".created_at asc)
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- ROW_NUMBER() OVER (partition by item_ratios.id, "ItemAct"."userId" order by "ItemAct".created_at asc) AS island
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FROM item_ratios
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JOIN "ItemAct" on "ItemAct"."itemId" = item_ratios.id
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WHERE act = 'TIP'
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),
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-- isolate contiguous upzaps from the same user on the same item so that when we take the log
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-- of the upzaps it accounts for successive zaps and does not disproporionately reward them
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upvoters AS (
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SELECT "userId", id, ratio, "parentId", GREATEST(log(sum(tipped) / 1000), 0) as tipped, min(acted_at) as acted_at
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FROM upvoter_islands
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GROUP BY "userId", id, ratio, "parentId", island
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),
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-- the relative contribution of each upvoter to the post/comment
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-- early multiplier: 10/ln(early_rank + e)
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-- we also weight by trust in a step wise fashion
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upvoter_ratios AS (
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SELECT "userId", sum(early_multiplier*tipped_ratio*ratio*CASE WHEN users.id = ANY (${REDUCE_REWARDS}) THEN 0.2 ELSE CEIL(users.trust*2)+1 END) as upvoter_ratio,
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"parentId" IS NULL as "isPost", CASE WHEN "parentId" IS NULL THEN 'TIP_POST' ELSE 'TIP_COMMENT' END as type
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FROM (
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SELECT *,
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10.0/LN(ROW_NUMBER() OVER (partition by id order by acted_at asc) + EXP(1.0)) AS early_multiplier,
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tipped::float/(sum(tipped) OVER (partition by id)) tipped_ratio
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FROM upvoters
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) u
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JOIN users on "userId" = users.id
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GROUP BY "userId", "parentId" IS NULL
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)
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SELECT "userId", NULL as id, type, ROW_NUMBER() OVER (PARTITION BY "isPost" ORDER BY upvoter_ratio DESC) as rank,
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upvoter_ratio/(sum(upvoter_ratio) OVER (PARTITION BY "isPost"))/2 as proportion
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FROM upvoter_ratios
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WHERE upvoter_ratio > 0
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ORDER BY "isPost", rank ASC`
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// in order to group earnings for users we use the same createdAt time for
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// all earnings
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const now = new Date(new Date().getTime())
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// this is just a sanity check because it seems like a good idea
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let total = 0
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// for each earner, serialize earnings
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// we do this for each earner because we don't need to serialize
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// all earner updates together
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earners.forEach(async earner => {
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const earnings = Math.floor(parseFloat(earner.proportion) * sum)
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total += earnings
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if (total > sum) {
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console.log(name, 'total exceeds sum', total, '>', sum)
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return
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}
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console.log('stacker', earner.userId, 'earned', earnings, 'proportion', earner.proportion, 'rank', earner.rank, 'type', earner.type)
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if (earnings > 0) {
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await serialize(models,
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models.$executeRaw`SELECT earn(${earner.userId}::INTEGER, ${earnings},
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${now}::timestamp without time zone, ${earner.type}::"EarnType", ${earner.id}::INTEGER, ${earner.rank}::INTEGER)`)
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}
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})
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console.log('done', name)
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}
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}
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module.exports = { earn }
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