mirror of
https://github.com/overleaf/overleaf.git
synced 2024-12-25 21:53:55 +00:00
601365bcc6
add script to filter csv by user email domains GitOrigin-RevId: d0faf1fd8ace2ec1bde0ffa5b4595e0894952119
95 lines
2.9 KiB
JavaScript
95 lines
2.9 KiB
JavaScript
// Usage: node scripts/add_user_count_to_csv.js [OPTS] [INPUT-FILE]
|
|
// Looks up the number of users for each domain in the input csv file and adds
|
|
// columns for the number of users in the domain, subdomains, and total.
|
|
const fs = require('fs')
|
|
const csv = require('csv/sync')
|
|
const minimist = require('minimist')
|
|
const UserGetter = require('../app/src/Features/User/UserGetter')
|
|
const { db, waitForDb } = require('../app/src/infrastructure/mongodb')
|
|
const _ = require('lodash')
|
|
|
|
const argv = minimist(process.argv.slice(2), {
|
|
string: ['domain', 'output'],
|
|
boolean: ['help'],
|
|
alias: {
|
|
domain: 'd',
|
|
output: 'o',
|
|
},
|
|
default: {
|
|
domain: 'Email domain',
|
|
output: '/dev/stdout',
|
|
},
|
|
})
|
|
|
|
if (argv.help || argv._.length > 1) {
|
|
console.error(`Usage: node scripts/add_user_count_to_csv.js [OPTS] [INPUT-FILE]
|
|
Looks up the number of users for each domain in the input file and adds
|
|
columns for the number of users in the domain, subdomains, and total.
|
|
|
|
Options:
|
|
|
|
--domain name of the csv column containing the email domain (default: "Email domain")
|
|
--output output file (default: /dev/stdout)
|
|
`)
|
|
process.exit(1)
|
|
}
|
|
|
|
const input = fs.readFileSync(argv._[0], 'utf8')
|
|
const records = csv.parse(input, { columns: true })
|
|
|
|
if (records.length === 0) {
|
|
console.error('No records in input file')
|
|
process.exit(1)
|
|
}
|
|
|
|
async function main() {
|
|
await waitForDb()
|
|
for (const record of records) {
|
|
const domain = record[argv.domain]
|
|
const { domainUserCount, subdomainUserCount } = await getUserCount(domain, {
|
|
_id: 1,
|
|
})
|
|
record['Domain Users'] = domainUserCount
|
|
record['Subdomain Users'] = subdomainUserCount
|
|
record['Total Users'] = domainUserCount + subdomainUserCount
|
|
}
|
|
const output = csv.stringify(records, { header: true })
|
|
fs.writeFileSync(argv.output, output)
|
|
}
|
|
|
|
async function getUserCount(domain) {
|
|
const domainUsers = await UserGetter.promises.getUsersByHostname(domain, {
|
|
_id: 1,
|
|
})
|
|
const subdomainUsers = await getUsersByHostnameWithSubdomain(domain, {
|
|
_id: 1,
|
|
})
|
|
return {
|
|
domainUserCount: domainUsers.length,
|
|
subdomainUserCount: subdomainUsers.length,
|
|
}
|
|
}
|
|
|
|
async function getUsersByHostnameWithSubdomain(domain, projection) {
|
|
const reversedDomain = domain.trim().split('').reverse().join('')
|
|
const reversedDomainRegex = _.escapeRegExp(reversedDomain)
|
|
const query = {
|
|
emails: { $exists: true },
|
|
// look for users in subdomains of a domain, but not the domain itself
|
|
// e.g. for domain 'foo.edu', match 'cs.foo.edu' but not 'foo.edu'
|
|
// we use the reversed hostname index to do this efficiently
|
|
// we need to escape the domain name to prevent '.' from matching any character
|
|
'emails.reversedHostname': { $regex: '^' + reversedDomainRegex + '\\.' },
|
|
}
|
|
return await db.users.find(query, { projection }).toArray()
|
|
}
|
|
|
|
main()
|
|
.then(() => {
|
|
console.error('Done')
|
|
process.exit(0)
|
|
})
|
|
.catch(err => {
|
|
console.error(err)
|
|
process.exit(1)
|
|
})
|