improve rewards (#1731)
* don't bias to early zapping so much * untested rewards/leaderboard changes * fix cln dep for payments * make zap proportion scale using quad root * fix for missing proportion on hidden users * improve rewards cutoff criteria * Update api/resolvers/user.js Co-authored-by: ekzyis <ek@stacker.news> * Update api/typeDefs/user.js Co-authored-by: ekzyis <ek@stacker.news> * improve switch readability * small increase in min zap * refresh materialized views on migration --------- Co-authored-by: ekzyis <ek@stacker.news>
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@ -157,7 +157,7 @@ export default {
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const [{ to, from }] = await models.$queryRaw`
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SELECT date_trunc('day', (now() AT TIME ZONE 'America/Chicago')) AT TIME ZONE 'America/Chicago' as from,
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(date_trunc('day', (now() AT TIME ZONE 'America/Chicago')) AT TIME ZONE 'America/Chicago') + interval '1 day - 1 second' as to`
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return await topUsers(parent, { when: 'custom', to: new Date(to).getTime().toString(), from: new Date(from).getTime().toString(), limit: 100 }, { models, ...context })
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return await topUsers(parent, { when: 'custom', to: new Date(to).getTime().toString(), from: new Date(from).getTime().toString(), limit: 500 }, { models, ...context })
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},
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total: async (parent, args, { models }) => {
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if (!parent.total) {
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@ -66,11 +66,12 @@ export async function topUsers (parent, { cursor, when, by, from, to, limit = LI
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case 'comments': column = 'ncomments'; break
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case 'referrals': column = 'referrals'; break
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case 'stacking': column = 'stacked'; break
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case 'value':
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default: column = 'proportion'; break
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}
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const users = (await models.$queryRawUnsafe(`
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SELECT *
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SELECT * ${column === 'proportion' ? ', proportion' : ''}
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FROM
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(SELECT users.*,
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COALESCE(floor(sum(msats_spent)/1000), 0) as spent,
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@ -59,6 +59,11 @@ export default gql`
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photoId: Int
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since: Int
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"""
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this is only returned when we sort stackers by value
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"""
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proportion: Float
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optional: UserOptional!
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privates: UserPrivates
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@ -107,13 +107,13 @@ export function User ({ user, rank, statComps, className = 'mb-2', Embellish, ny
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<div className={styles.other}>
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{statComps.map((Comp, i) => <Comp key={i} user={user} />)}
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</div>}
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{Embellish && <Embellish rank={rank} />}
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{Embellish && <Embellish rank={rank} user={user} />}
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</UserBase>
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</>
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)
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}
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function UserHidden ({ rank, Embellish }) {
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function UserHidden ({ rank, user, Embellish }) {
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return (
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<>
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{rank
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@ -133,7 +133,7 @@ function UserHidden ({ rank, Embellish }) {
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<div className={`${styles.title} text-muted d-inline-flex align-items-center`}>
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stacker is in hiding
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</div>
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{Embellish && <Embellish rank={rank} />}
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{Embellish && <Embellish rank={rank} user={user} />}
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</div>
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</div>
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</>
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@ -148,7 +148,7 @@ export function ListUsers ({ users, rank, statComps = DEFAULT_STAT_COMPONENTS, E
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{users.map((user, i) => (
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user
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? <User key={user.id} user={user} rank={rank && i + 1} statComps={statComps} Embellish={Embellish} nymActionDropdown={nymActionDropdown} />
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: <UserHidden key={i} rank={rank && i + 1} Embellish={Embellish} />
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: <UserHidden key={i} rank={rank && i + 1} user={user} Embellish={Embellish} />
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))}
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</div>
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)
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@ -680,7 +680,6 @@ services:
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- bitcoin
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- sn_lnd
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- lnd
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- cln
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restart: unless-stopped
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command: daemon --docker -f label=com.docker.compose.project=${COMPOSE_PROJECT_NAME}
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volumes:
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@ -254,7 +254,7 @@ export const TOP_USERS = gql`
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photoId
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ncomments(when: $when, from: $from, to: $to)
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nposts(when: $when, from: $from, to: $to)
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proportion
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optional {
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stacked(when: $when, from: $from, to: $to)
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spent(when: $when, from: $from, to: $to)
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@ -16,7 +16,6 @@ import { useToast } from '@/components/toast'
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import { useLightning } from '@/components/lightning'
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import { ListUsers } from '@/components/user-list'
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import { Col, Row } from 'react-bootstrap'
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import { proportions } from '@/lib/madness'
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import { useData } from '@/components/use-data'
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import { GrowthPieChartSkeleton } from '@/components/charts-skeletons'
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import { useMemo } from 'react'
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@ -50,6 +49,7 @@ ${ITEM_FULL_FIELDS}
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photoId
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ncomments
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nposts
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proportion
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optional {
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streak
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@ -117,9 +117,10 @@ export default function Rewards ({ ssrData }) {
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if (!dat) return <PageLoading />
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function EstimatedReward ({ rank }) {
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const referrerReward = Math.floor(total * proportions[rank - 1] * 0.2)
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const reward = Math.floor(total * proportions[rank - 1]) - referrerReward
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function EstimatedReward ({ rank, user }) {
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if (!user) return null
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const referrerReward = Math.max(Math.floor(total * user.proportion * 0.2), 0)
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const reward = Math.max(Math.floor(total * user.proportion) - referrerReward, 0)
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return (
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<div className='text-muted fst-italic'>
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@ -0,0 +1,93 @@
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CREATE OR REPLACE FUNCTION user_values(
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min TIMESTAMP(3), max TIMESTAMP(3), ival INTERVAL, date_part TEXT,
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percentile_cutoff INTEGER DEFAULT 50,
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each_upvote_portion FLOAT DEFAULT 4.0,
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each_item_portion FLOAT DEFAULT 4.0,
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handicap_ids INTEGER[] DEFAULT '{616, 6030, 4502, 27}',
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handicap_zap_mult FLOAT DEFAULT 0.3)
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RETURNS TABLE (
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t TIMESTAMP(3), id INTEGER, proportion FLOAT
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)
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LANGUAGE plpgsql
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AS $$
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DECLARE
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min_utc TIMESTAMP(3) := timezone('utc', min AT TIME ZONE 'America/Chicago');
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BEGIN
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RETURN QUERY
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SELECT period.t, u."userId", u.total_proportion
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FROM generate_series(min, max, ival) period(t),
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LATERAL
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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 date_trunc(date_part, created_at AT TIME ZONE 'UTC' AT TIME ZONE 'America/Chicago') = period.t
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AND "weightedVotes" > 0
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AND "deletedAt" IS NULL
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AND NOT bio
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AND ("invoiceActionState" IS NULL OR "invoiceActionState" = 'PAID')
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) x
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WHERE x.percentile <= percentile_cutoff
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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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AND date_trunc(date_part, "ItemAct".created_at AT TIME ZONE 'UTC' AT TIME ZONE 'America/Chicago') = period.t
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AND ("ItemAct"."invoiceActionState" IS NULL OR "ItemAct"."invoiceActionState" = 'PAID')
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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 disproportionately reward them
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-- quad root of the total tipped
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upvoters AS (
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SELECT "userId", upvoter_islands.id, ratio, "parentId", GREATEST(power(sum(tipped) / 1000, 0.25), 0) as tipped, min(acted_at) as acted_at
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FROM upvoter_islands
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GROUP BY "userId", upvoter_islands.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 component: 1/ln(early_rank + e - 1)
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-- tipped component: how much they tipped relative to the total tipped for the item
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-- multiplied by the relative rank of the item to the total items
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-- multiplied by the trust of the user
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upvoter_ratios AS (
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SELECT "userId", sum((early_multiplier+tipped_ratio)*ratio*CASE WHEN users.id = ANY (handicap_ids) THEN handicap_zap_mult ELSE users.trust+0.1 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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1.0/LN(ROW_NUMBER() OVER (partition by upvoters.id order by acted_at asc) + EXP(1.0) - 1) AS early_multiplier,
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tipped::float/(sum(tipped) OVER (partition by upvoters.id)) tipped_ratio
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FROM upvoters
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WHERE tipped > 2.1
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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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proportions AS (
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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"))/each_upvote_portion as proportion
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FROM upvoter_ratios
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WHERE upvoter_ratio > 0
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UNION ALL
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SELECT "userId", item_ratios.id, type, rank, ratio/each_item_portion as proportion
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FROM item_ratios
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)
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SELECT "userId", sum(proportions.proportion) AS total_proportion
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FROM proportions
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GROUP BY "userId"
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HAVING sum(proportions.proportion) > 0.000001) u;
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END;
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$$;
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REFRESH MATERIALIZED VIEW CONCURRENTLY user_values_today;
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REFRESH MATERIALIZED VIEW CONCURRENTLY user_values_days;
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@ -1,6 +1,5 @@
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import { notifyEarner } from '@/lib/webPush'
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import createPrisma from '@/lib/create-prisma'
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import { proportions } from '@/lib/madness'
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import { SN_NO_REWARDS_IDS } from '@/lib/constants'
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const TOTAL_UPPER_BOUND_MSATS = 1_000_000_000
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@ -40,18 +39,19 @@ export async function earn ({ name }) {
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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 50% posts over last 36 hours, scored on a relative basis
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1/3: top 50% 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: 80% of earnings go to top 100 stackers by value, and 10% each to their forever and one day referrers
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Now: 80% of earnings go to top stackers by relative value, and 10% each to their forever and one day referrers
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*/
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// get earners { userId, id, type, rank, proportion, foreverReferrerId, oneDayReferrerId }
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// has to earn at least 125000 msats to be eligible (so that they get at least 1 sat after referrals)
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const earners = await models.$queryRaw`
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WITH earners AS (
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SELECT users.id AS "userId", users."referrerId" AS "foreverReferrerId",
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'day') uv
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JOIN users ON users.id = uv.id
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WHERE NOT (users.id = ANY (${SN_NO_REWARDS_IDS}))
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AND uv.proportion >= 0.0000125
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ORDER BY proportion DESC
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LIMIT 100
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)
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SELECT earners.*,
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COALESCE(
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let total = 0
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const notifications = {}
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for (const [i, earner] of earners.entries()) {
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for (const [, earner] of earners.entries()) {
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const foreverReferrerEarnings = Math.floor(parseFloat(earner.proportion * sum * 0.1)) // 10% of earnings
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let oneDayReferrerEarnings = Math.floor(parseFloat(earner.proportion * sum * 0.1)) // 10% of earnings
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const earnerEarnings = Math.floor(parseFloat(proportions[i] * sum)) - foreverReferrerEarnings - oneDayReferrerEarnings
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const earnerEarnings = Math.floor(parseFloat(earner.proportion * sum)) - foreverReferrerEarnings - oneDayReferrerEarnings
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total += earnerEarnings + foreverReferrerEarnings + oneDayReferrerEarnings
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if (total > sum) {
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@ -108,7 +108,7 @@ export async function earn ({ name }) {
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'oneDayReferrer', earner.oneDayReferrerId,
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'oneDayReferrerEarnings', oneDayReferrerEarnings)
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if (earnerEarnings > 0) {
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if (earnerEarnings > 1000) {
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stmts.push(...earnStmts({
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msats: earnerEarnings,
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userId: earner.userId,
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@ -140,7 +140,7 @@ export async function earn ({ name }) {
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}
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}
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if (earner.foreverReferrerId && foreverReferrerEarnings > 0) {
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if (earner.foreverReferrerId && foreverReferrerEarnings > 1000) {
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stmts.push(...earnStmts({
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msats: foreverReferrerEarnings,
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userId: earner.foreverReferrerId,
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@ -153,7 +153,7 @@ export async function earn ({ name }) {
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oneDayReferrerEarnings += foreverReferrerEarnings
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}
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if (earner.oneDayReferrerId && oneDayReferrerEarnings > 0) {
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if (earner.oneDayReferrerId && oneDayReferrerEarnings > 1000) {
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stmts.push(...earnStmts({
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msats: oneDayReferrerEarnings,
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userId: earner.oneDayReferrerId,
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