manifold/functions/src/update-stats.ts

349 lines
10 KiB
TypeScript
Raw Normal View History

import * as functions from 'firebase-functions'
import * as admin from 'firebase-admin'
import * as dayjs from 'dayjs'
import * as utc from 'dayjs/plugin/utc'
import * as timezone from 'dayjs/plugin/timezone'
dayjs.extend(utc)
dayjs.extend(timezone)
import { range, zip, uniq, sum, sumBy } from 'lodash'
import { getValues, log, logMemory } from './utils'
import { Bet } from '../../common/bet'
import { Contract } from '../../common/contract'
import { Comment } from '../../common/comment'
import { User } from '../../common/user'
import { Stats } from '../../common/stats'
import { DAY_MS } from '../../common/util/time'
import { average } from '../../common/util/math'
const firestore = admin.firestore()
2022-09-30 22:46:54 +00:00
const numberOfDays = 180
const getBetsQuery = (startTime: number, endTime: number) =>
firestore
.collectionGroup('bets')
.where('createdTime', '>=', startTime)
.where('createdTime', '<', endTime)
.orderBy('createdTime', 'asc')
export async function getDailyBets(startTime: number, numberOfDays: number) {
const query = getBetsQuery(startTime, startTime + DAY_MS * numberOfDays)
const bets = await getValues<Bet>(query)
const betsByDay = range(0, numberOfDays).map(() => [] as Bet[])
for (const bet of bets) {
const dayIndex = Math.floor((bet.createdTime - startTime) / DAY_MS)
betsByDay[dayIndex].push(bet)
}
return betsByDay
}
const getCommentsQuery = (startTime: number, endTime: number) =>
firestore
.collectionGroup('comments')
.where('createdTime', '>=', startTime)
.where('createdTime', '<', endTime)
.orderBy('createdTime', 'asc')
export async function getDailyComments(
startTime: number,
numberOfDays: number
) {
const query = getCommentsQuery(startTime, startTime + DAY_MS * numberOfDays)
const comments = await getValues<Comment>(query)
const commentsByDay = range(0, numberOfDays).map(() => [] as Comment[])
for (const comment of comments) {
const dayIndex = Math.floor((comment.createdTime - startTime) / DAY_MS)
commentsByDay[dayIndex].push(comment)
}
return commentsByDay
}
const getContractsQuery = (startTime: number, endTime: number) =>
firestore
.collection('contracts')
.where('createdTime', '>=', startTime)
.where('createdTime', '<', endTime)
.orderBy('createdTime', 'asc')
export async function getDailyContracts(
startTime: number,
numberOfDays: number
) {
const query = getContractsQuery(startTime, startTime + DAY_MS * numberOfDays)
const contracts = await getValues<Contract>(query)
const contractsByDay = range(0, numberOfDays).map(() => [] as Contract[])
for (const contract of contracts) {
const dayIndex = Math.floor((contract.createdTime - startTime) / DAY_MS)
contractsByDay[dayIndex].push(contract)
}
return contractsByDay
}
const getUsersQuery = (startTime: number, endTime: number) =>
firestore
.collection('users')
.where('createdTime', '>=', startTime)
.where('createdTime', '<', endTime)
.orderBy('createdTime', 'asc')
export async function getDailyNewUsers(
startTime: number,
numberOfDays: number
) {
const query = getUsersQuery(startTime, startTime + DAY_MS * numberOfDays)
const users = await getValues<User>(query)
const usersByDay = range(0, numberOfDays).map(() => [] as User[])
for (const user of users) {
const dayIndex = Math.floor((user.createdTime - startTime) / DAY_MS)
usersByDay[dayIndex].push(user)
}
return usersByDay
}
export const updateStatsCore = async () => {
const today = dayjs().tz('America/Los_Angeles').startOf('day').valueOf()
const startDate = today - numberOfDays * DAY_MS
log('Fetching data for stats update...')
const [dailyBets, dailyContracts, dailyComments, dailyNewUsers] =
await Promise.all([
getDailyBets(startDate.valueOf(), numberOfDays),
getDailyContracts(startDate.valueOf(), numberOfDays),
getDailyComments(startDate.valueOf(), numberOfDays),
getDailyNewUsers(startDate.valueOf(), numberOfDays),
])
logMemory()
const dailyBetCounts = dailyBets.map((bets) => bets.length)
const dailyContractCounts = dailyContracts.map(
(contracts) => contracts.length
)
const dailyCommentCounts = dailyComments.map((comments) => comments.length)
const dailyUserIds = zip(dailyContracts, dailyBets, dailyComments).map(
([contracts, bets, comments]) => {
const creatorIds = (contracts ?? []).map((c) => c.creatorId)
const betUserIds = (bets ?? []).map((bet) => bet.userId)
const commentUserIds = (comments ?? []).map((comment) => comment.userId)
return uniq([...creatorIds, ...betUserIds, ...commentUserIds])
}
)
log(
`Fetched ${sum(dailyBetCounts)} bets, ${sum(
dailyContractCounts
)} contracts, ${sum(dailyComments)} comments, from ${sum(
dailyNewUsers
)} unique users.`
)
const dailyActiveUsers = dailyUserIds.map((userIds) => userIds.length)
const dailyActiveUsersWeeklyAvg = dailyUserIds.map((_, i) => {
const start = Math.max(0, i - 6)
const end = i + 1
return average(dailyActiveUsers.slice(start, end))
})
const weeklyActiveUsers = dailyUserIds.map((_, i) => {
const start = Math.max(0, i - 6)
2022-09-19 06:28:18 +00:00
const end = i + 1
const uniques = new Set<string>(dailyUserIds.slice(start, end).flat())
return uniques.size
})
const monthlyActiveUsers = dailyUserIds.map((_, i) => {
const start = Math.max(0, i - 29)
2022-09-19 06:28:18 +00:00
const end = i + 1
const uniques = new Set<string>(dailyUserIds.slice(start, end).flat())
return uniques.size
})
2022-09-19 06:28:18 +00:00
const d1 = dailyUserIds.map((userIds, i) => {
if (i === 0) return 0
const uniques = new Set(userIds)
const yesterday = dailyUserIds[i - 1]
const retainedCount = sumBy(yesterday, (userId) =>
uniques.has(userId) ? 1 : 0
)
return retainedCount / uniques.size
})
const d1WeeklyAvg = d1.map((_, i) => {
2022-09-19 06:28:18 +00:00
const start = Math.max(0, i - 6)
const end = i + 1
return average(d1.slice(start, end))
})
const dailyNewUserIds = dailyNewUsers.map((users) => users.map((u) => u.id))
const nd1 = dailyUserIds.map((userIds, i) => {
if (i === 0) return 0
const uniques = new Set(userIds)
const yesterday = dailyNewUserIds[i - 1]
const retainedCount = sumBy(yesterday, (userId) =>
uniques.has(userId) ? 1 : 0
)
return retainedCount / uniques.size
})
const nd1WeeklyAvg = nd1.map((_, i) => {
const start = Math.max(0, i - 6)
const end = i + 1
return average(nd1.slice(start, end))
})
const nw1 = dailyNewUserIds.map((_userIds, i) => {
2022-09-19 06:28:18 +00:00
if (i < 13) return 0
const twoWeeksAgo = {
start: Math.max(0, i - 13),
2022-09-19 06:28:18 +00:00
end: Math.max(0, i - 6),
}
const lastWeek = {
start: Math.max(0, i - 6),
2022-09-19 06:28:18 +00:00
end: i + 1,
}
2022-09-19 06:28:18 +00:00
const newTwoWeeksAgo = new Set<string>(
dailyNewUserIds.slice(twoWeeksAgo.start, twoWeeksAgo.end).flat()
)
const activeLastWeek = new Set<string>(
dailyUserIds.slice(lastWeek.start, lastWeek.end).flat()
)
const retainedCount = sumBy(Array.from(newTwoWeeksAgo), (userId) =>
activeLastWeek.has(userId) ? 1 : 0
)
return retainedCount / newTwoWeeksAgo.size
2022-09-19 06:28:18 +00:00
})
2022-09-19 06:28:18 +00:00
const weekOnWeekRetention = dailyUserIds.map((_userId, i) => {
const twoWeeksAgo = {
start: Math.max(0, i - 13),
end: Math.max(0, i - 6),
}
2022-09-19 06:28:18 +00:00
const lastWeek = {
start: Math.max(0, i - 6),
end: i + 1,
}
2022-09-19 06:28:18 +00:00
const activeTwoWeeksAgo = new Set<string>(
dailyUserIds.slice(twoWeeksAgo.start, twoWeeksAgo.end).flat()
)
const activeLastWeek = new Set<string>(
dailyUserIds.slice(lastWeek.start, lastWeek.end).flat()
)
const retainedCount = sumBy(Array.from(activeTwoWeeksAgo), (userId) =>
activeLastWeek.has(userId) ? 1 : 0
)
return retainedCount / activeTwoWeeksAgo.size
})
const monthlyRetention = dailyUserIds.map((_userId, i) => {
const twoMonthsAgo = {
2022-09-19 06:28:18 +00:00
start: Math.max(0, i - 59),
end: Math.max(0, i - 29),
}
const lastMonth = {
2022-09-19 06:28:18 +00:00
start: Math.max(0, i - 29),
end: i + 1,
}
2022-09-19 06:28:18 +00:00
const activeTwoMonthsAgo = new Set<string>(
dailyUserIds.slice(twoMonthsAgo.start, twoMonthsAgo.end).flat()
)
const activeLastMonth = new Set<string>(
dailyUserIds.slice(lastMonth.start, lastMonth.end).flat()
)
const retainedCount = sumBy(Array.from(activeTwoMonthsAgo), (userId) =>
activeLastMonth.has(userId) ? 1 : 0
)
if (activeTwoMonthsAgo.size === 0) return 0
return retainedCount / activeTwoMonthsAgo.size
})
const firstBetDict: { [userId: string]: number } = {}
for (let i = 0; i < dailyBets.length; i++) {
const bets = dailyBets[i]
for (const bet of bets) {
if (bet.userId in firstBetDict) continue
firstBetDict[bet.userId] = i
}
}
const dailyActivationRate = dailyNewUsers.map((newUsers, i) => {
const activedCount = sumBy(newUsers, (user) => {
const firstBet = firstBetDict[user.id]
return firstBet === i ? 1 : 0
})
return activedCount / newUsers.length
})
const dailyActivationRateWeeklyAvg = dailyActivationRate.map((_, i) => {
const start = Math.max(0, i - 6)
2022-09-19 06:28:18 +00:00
const end = i + 1
return average(dailyActivationRate.slice(start, end))
})
const dailySignups = dailyNewUsers.map((users) => users.length)
// Total mana divided by 100.
const dailyManaBet = dailyBets.map((bets) => {
return Math.round(sumBy(bets, (bet) => bet.amount) / 100)
})
const weeklyManaBet = dailyManaBet.map((_, i) => {
const start = Math.max(0, i - 6)
2022-09-19 06:28:18 +00:00
const end = i + 1
const total = sum(dailyManaBet.slice(start, end))
if (end - start < 7) return (total * 7) / (end - start)
return total
})
const monthlyManaBet = dailyManaBet.map((_, i) => {
const start = Math.max(0, i - 29)
2022-09-19 06:28:18 +00:00
const end = i + 1
const total = sum(dailyManaBet.slice(start, end))
2022-09-19 06:28:18 +00:00
const range = end - start
if (range < 30) return (total * 30) / range
return total
})
const statsData: Stats = {
startDate: startDate.valueOf(),
dailyActiveUsers,
dailyActiveUsersWeeklyAvg,
weeklyActiveUsers,
monthlyActiveUsers,
2022-09-19 06:28:18 +00:00
d1,
d1WeeklyAvg,
nd1,
nd1WeeklyAvg,
nw1,
dailyBetCounts,
dailyContractCounts,
dailyCommentCounts,
dailySignups,
weekOnWeekRetention,
dailyActivationRate,
dailyActivationRateWeeklyAvg,
monthlyRetention,
manaBet: {
daily: dailyManaBet,
weekly: weeklyManaBet,
monthly: monthlyManaBet,
},
}
log('Computed stats: ', statsData)
await firestore.doc('stats/stats').set(statsData)
}
export const updateStats = functions
2022-09-21 04:56:14 +00:00
.runWith({ memory: '4GB', timeoutSeconds: 540 })
.pubsub.schedule('every 60 minutes')
.onRun(updateStatsCore)