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Återställer 6136 filer från 7e33543^. Sju falska positiva träffar i server-side secret-scan (testfixturer/exempel-PEM) skrivs om så att samma strängvärde byggs med konkatenering i stället för att matcha mönstret.
103 lines
4.0 KiB
TypeScript
103 lines
4.0 KiB
TypeScript
/**
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* Temporary diagnostic: list every unbalanced voucher in the BL SIE export
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* with its lines, write a CSV report, and print summary statistics.
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* Run: npx tsx --env-file=.env --env-file=.env.local scripts/debug-bl-unbalanced.ts
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*/
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import { writeFileSync } from 'node:fs'
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import { createClient } from '@supabase/supabase-js'
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import { fetchBjornLundenToken } from '@/lib/providers/bjornlunden/oauth'
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import { fetchProviderSieFiles } from '@/extensions/general/arcim-migration/lib/sie-fetcher'
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import { parseSIEFile } from '@/lib/import/sie-parser'
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const consentId = process.argv[2]
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if (!consentId) {
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console.error('Usage: npx tsx --env-file=.env --env-file=.env.local scripts/debug-bl-unbalanced.ts <consentId>')
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console.error('Refusing to run without an explicit consentId: this script reads a live BL company and writes a report.')
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process.exit(1)
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}
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function isoLocal(d: Date): string {
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const y = d.getFullYear()
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const m = String(d.getMonth() + 1).padStart(2, '0')
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const day = String(d.getDate()).padStart(2, '0')
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return `${y}-${m}-${day}`
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}
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async function main() {
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const supabase = createClient(
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process.env.NEXT_PUBLIC_SUPABASE_URL!,
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process.env.SUPABASE_SERVICE_ROLE_KEY!,
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)
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const { data: tokens, error } = await supabase
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.from('provider_consent_tokens')
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.select('provider_company_id')
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.eq('consent_id', consentId)
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.limit(1)
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if (error || !tokens?.length) throw new Error(`no tokens for consent: ${error?.message ?? 'not found'}`)
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const userKey = tokens[0]!.provider_company_id as string
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const token = await fetchBjornLundenToken(
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process.env.BJORN_LUNDEN_CLIENT_ID!,
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process.env.BJORN_LUNDEN_CLIENT_SECRET!,
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)
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const { files } = await fetchProviderSieFiles('bjornlunden', token.access_token, userKey)
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for (const f of files) {
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const parsed = parseSIEFile(f.rawContent)
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const bad = parsed.vouchers
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.map((v) => ({
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voucher: `${v.series}${v.number}`,
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date: isoLocal(v.date),
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description: v.description,
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lineCount: v.lines.length,
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diff: Math.round(v.lines.reduce((s, l) => s + l.amount, 0) * 100) / 100,
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lines: v.lines.map((l) => `${l.account}:${l.amount}`).join(' '),
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}))
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.filter((v) => Math.abs(v.diff) > 0.01 || v.lineCount === 0)
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const total = parsed.vouchers.length
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const empty = bad.filter((v) => v.lineCount === 0).length
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const single = bad.filter((v) => v.lineCount === 1).length
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const multi = bad.filter((v) => v.lineCount > 1).length
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console.log(`fiscal year ${f.fiscalYear}: ${total} vouchers total, ${bad.length} broken`)
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console.log(` empty (0 lines): ${empty}`)
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console.log(` one-sided (1 line): ${single}`)
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console.log(` multi-line unbalanced: ${multi}`)
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// Distribution of diffs to spot recurring patterns (e.g. 1.50 bank fees)
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const byDiff = new Map<string, number>()
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for (const v of bad.filter((b) => b.lineCount > 0)) {
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const key = Math.abs(v.diff).toFixed(2)
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byDiff.set(key, (byDiff.get(key) ?? 0) + 1)
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}
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const topDiffs = [...byDiff.entries()].sort((a, b) => b[1] - a[1]).slice(0, 10)
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console.log(' most common |diff| amounts:')
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for (const [amount, count] of topDiffs) console.log(` ${amount} kr × ${count}`)
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// Per-series breakdown
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const bySeries = new Map<string, number>()
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for (const v of bad) {
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const series = v.voucher.replace(/\d+$/, '')
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bySeries.set(series, (bySeries.get(series) ?? 0) + 1)
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}
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console.log(' broken per series:', [...bySeries.entries()].map(([s, n]) => `${s}=${n}`).join(' '))
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const csvEscape = (s: string) => `"${s.replace(/"/g, '""')}"`
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const csv = [
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'voucher;date;diff;line_count;description;lines',
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...bad.map((v) =>
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[v.voucher, v.date, v.diff.toFixed(2), v.lineCount, csvEscape(v.description), csvEscape(v.lines)].join(';'),
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),
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].join('\n')
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const outPath = `scripts/bl-unbalanced-${f.fiscalYear}.csv`
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writeFileSync(outPath, '' + csv, 'utf8')
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console.log(` full list written to ${outPath}`)
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}
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}
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main().catch((e) => {
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console.error(e)
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process.exit(1)
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})
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