* Create tests on find_malformed_filetrees and fix_malformed_filetrees
* Remove lines that are making fix_malformed_filetree fail
These lines are causing errors such as
```
Missing file hash: 586846800000000000000000/5891271c0000000000000000 (rootFolder.0.folders.2.fileRefs.7.hash)
SaaS: likely needs filestore restore
Server Pro: please reach out to support
```
* Add snapshots of projects after fix_malformed_filetree
* Set `WRITE_SNAPSHOT` as false
* Make `deleteProjectsRecordId0` constant
* Ignore duplicated ID errors in CreateMalformedFileTrees.mjs
* Move snapshots to directory folder
* Remove unnecessary code
* Update tests to cover use cases from the scripts
* Fix: Use `new ObjectId(projectId)` instead of the string in mongo queries
* Fix: Query `rootFolder: []` to fix more than `rootFolder: { $size: 0 }`
* Remove/rename files from first draft
* Remove empty strings from expects in unrelated tests, now that `filterOutput` removes them
* Add missing `expectFixStdout` to tests
* misc: rename test util to strId
* Add "well formed filetrees" to test cases
* Use `wellFormed` variable to remove some duplication
* Update tests:
- check Missing file hash path
- remove test on string/numbers as array items
* Add test "bug: shifted arrays in filetree"
* Rename `wellFormedFile` to `wellFormedFolder`
* Fix name of the root folder to `'rootFolder'`, not `'untitled'`
GitOrigin-RevId: dc098bb7ad3ca441fe2bb72b5f5f0e3bcedbdf67
153 lines
4.5 KiB
JavaScript
153 lines
4.5 KiB
JavaScript
import { exec } from 'node:child_process'
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import { promisify } from 'node:util'
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import { expect } from 'chai'
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import logger from '@overleaf/logger'
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import { filterOutput } from './helpers/settings.mjs'
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import { db } from '../../../app/src/infrastructure/mongodb.js'
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import { renderObjectId } from '@overleaf/mongo-utils/batchedUpdate.js'
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const BATCH_SIZE = 100
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let n = 0
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function getUniqueReferralId() {
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return `unique_${n++}`
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}
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function getUserWithReferralId(referralId) {
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const email = `${Math.random()}@example.com`
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return {
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referal_id: referralId,
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// Make the unique indexes happy.
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email,
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emails: [{ email }],
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}
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}
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async function getBatch(batchCounter) {
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return (
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await db.users
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.find(
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{},
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{
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projection: { _id: 1 },
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skip: BATCH_SIZE * --batchCounter,
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limit: BATCH_SIZE,
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}
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)
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.toArray()
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).map(user => user._id)
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}
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describe('RegenerateDuplicateReferralIds', function () {
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let firstBatch, secondBatch, thirdBatch, forthBatch, duplicateAcrossBatch
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beforeEach('insert duplicates', async function () {
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// full batch of duplicates
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await db.users.insertMany(
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Array(BATCH_SIZE)
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.fill(0)
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.map(() => {
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return getUserWithReferralId('duplicate1')
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})
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)
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firstBatch = await getBatch(1)
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// batch of 999 duplicates and 1 unique
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await db.users.insertMany(
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Array(BATCH_SIZE - 1)
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.fill(0)
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.map(() => {
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return getUserWithReferralId('duplicate2')
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})
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.concat([getUserWithReferralId(getUniqueReferralId())])
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)
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secondBatch = await getBatch(2)
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// duplicate outside batch
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duplicateAcrossBatch = getUniqueReferralId()
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await db.users.insertMany(
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Array(BATCH_SIZE - 1)
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.fill(0)
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.map(() => {
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return getUserWithReferralId(getUniqueReferralId())
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})
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.concat([getUserWithReferralId(duplicateAcrossBatch)])
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)
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thirdBatch = await getBatch(3)
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// no new duplicates onwards
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await db.users.insertMany(
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Array(BATCH_SIZE - 1)
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.fill(0)
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.map(() => {
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return getUserWithReferralId(getUniqueReferralId())
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})
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.concat([getUserWithReferralId(duplicateAcrossBatch)])
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)
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forthBatch = await getBatch(4)
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})
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let result
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beforeEach('run script', async function () {
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try {
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result = await promisify(exec)(
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[
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// set low BATCH_SIZE
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`BATCH_SIZE=${BATCH_SIZE}`,
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// log details on duplicate matching
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'VERBOSE_LOGGING=true',
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// disable verbose logging
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'LOG_LEVEL=ERROR',
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// actual command
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'node',
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'scripts/regenerate_duplicate_referral_ids.mjs',
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].join(' ')
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)
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} catch (err) {
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// dump details like exit code, stdErr and stdOut
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logger.error({ err }, 'script failed')
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throw err
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}
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})
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it('should do the correct operations', function () {
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let { stderr: stdErr, stdout: stdOut } = result
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stdErr = stdErr.split('\n').filter(filterOutput)
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stdOut = stdOut.split('\n').filter(filterOutput)
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expect(stdErr).to.include.members([
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`Completed batch ending ${renderObjectId(firstBatch[BATCH_SIZE - 1])}`,
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`Completed batch ending ${renderObjectId(secondBatch[BATCH_SIZE - 1])}`,
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`Completed batch ending ${renderObjectId(thirdBatch[BATCH_SIZE - 1])}`,
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`Completed batch ending ${renderObjectId(forthBatch[BATCH_SIZE - 1])}`,
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'Done.',
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])
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expect(stdOut.filter(filterOutput)).to.include.members([
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// only duplicates
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`Running update on batch with ids ${JSON.stringify(firstBatch)}`,
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'Got duplicates from looking at batch.',
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'Found duplicate: duplicate1',
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// duplicate in batch
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`Running update on batch with ids ${JSON.stringify(secondBatch)}`,
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'Got duplicates from looking at batch.',
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'Found duplicate: duplicate2',
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// duplicate with next batch
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`Running update on batch with ids ${JSON.stringify(thirdBatch)}`,
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'Got duplicates from running count.',
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`Found duplicate: ${duplicateAcrossBatch}`,
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// no new duplicates
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`Running update on batch with ids ${JSON.stringify(forthBatch)}`,
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])
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})
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it('should give all users a unique refereal_id', async function () {
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const users = await db.users
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.find({}, { projection: { referal_id: 1 } })
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.toArray()
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const uniqueReferralIds = Array.from(
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new Set(users.map(user => user.referal_id))
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)
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expect(users).to.have.length(4 * BATCH_SIZE)
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expect(uniqueReferralIds).to.have.length(users.length)
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})
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})
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