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77 lines
2 KiB
JavaScript
77 lines
2 KiB
JavaScript
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const csv = require('csv')
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const fs = require('fs')
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const {
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OnboardingDataCollection,
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} = require('../app/src/models/OnboardingDataCollection')
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const { User } = require('../app/src/models/User')
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/**
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* This script extracts ODC data with some extra fields, and filters on registration date and LaTeX experience
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*
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* It will:
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* — filter for used_latex=never
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* — augment rows with user registered date and email addresses
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* — filter on users registered after a certain date
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* — export updated CSV
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*
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* Usage:
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* - Locally:
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* - docker compose exec web bash
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* - node scripts/extract_onboardingdatacollection_never_used_latex.js
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* - On the server:
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* - rake connect:app[staging,web]
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* - node scripts/extract_onboardingdatacollection_never_used_latex.js
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* - exit
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* - kubectl cp web-standalone-prod-XXXXX:/tmp/odc_neverUsedLatex.csv ~/odc_neverUsedLatex.csv
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*/
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const getEmails = async userIds => {
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const userEmails = await User.find(
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{ _id: { $in: userIds }, signUpDate: { $gte: new Date(2024, 1, 18) } },
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{ email: 1, signUpDate: 1 }
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).exec()
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return userEmails.map(({ email, signUpDate }) => ({
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email,
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signUpDate: new Date(signUpDate).toISOString(),
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}))
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}
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const getUsers = async () => {
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const cursor = OnboardingDataCollection.find({ usedLatex: 'never' }).cursor()
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const userIds = []
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for (let doc = await cursor.next(); doc != null; doc = await cursor.next()) {
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userIds.push(doc._id.toString())
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}
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return userIds
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}
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const runScript = async () => {
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const users = await getUsers()
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const userEmails = await getEmails(users)
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console.log('Starting to write to csv file...')
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csv.stringify(
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userEmails,
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{
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header: true,
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columns: ['email', 'signUpDate'],
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},
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function (err, output) {
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fs.writeFileSync('/tmp/odc_neverUsedLatex.csv', output)
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if (err) {
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console.log('error writing csv output: ', err)
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process.exit(1)
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}
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process.exit()
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}
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)
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}
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runScript().catch(err => {
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console.error(err)
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process.exit(1)
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})
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