Files
accounted/scripts/inspect-skv-tokens-table.ts
T
Jakob Wennberg ec27228a8e style: remove em/en dashes repo-wide, add CLAUDE.md rule against them (#890)
Em dashes (—) and en dashes (–) had spread across comments, docs, tests,
and a few UI strings, reading as AI-generated boilerplate rather than
house style. Replaced each with punctuation matching its context: colon
for explanatory clauses, comma for asides, plain hyphen for numeric/legal
ranges (e.g. "21-23§"), "to"/"till" for date ranges, parentheses for
paired-dash asides. messages/en.json and messages/sv.json were fixed by
hand together to keep sv/en in sync.

Left untouched where the dash is the functional subject rather than
decorative punctuation: date-range-parser.ts's separator regex,
charset-repair.ts's CP1252 byte-mapping table (and its test), the SIE
encoding mojibake docs, generic-csv.ts's minus-sign normalizer, the
agent system-prompt files that already instruct against em dashes, and
a golden iXBRL test fixture compared byte-for-byte.

Also fixes two bugs surfaced along the way: an off-by-one in
ApiKeysPanel's scope-label split (a leftover from an earlier partial
pass), and a charset-repair test that had lost the literal en-dash it
exists to verify.

Regenerated the agent atom seed migration (skills:generate) since 27
SKILL.md files changed. Added a CLAUDE.md rule against em/en dashes,
with an explicit carve-out for the functional-dash cases above.

Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-04 15:58:06 +02:00

52 lines
2.1 KiB
TypeScript

/**
* READ-ONLY: inspect the actual schema of public.skatteverket_tokens in prod.
* Confirms whether the UNIQUE(user_id) constraint exists and under what name.
*/
import { createClient } from '@supabase/supabase-js'
import { config } from 'dotenv'
import { resolve } from 'node:path'
config({ path: resolve(process.cwd(), '.env.local') })
const supabase = createClient(
process.env.NEXT_PUBLIC_SUPABASE_URL!,
process.env.SUPABASE_SERVICE_ROLE_KEY!,
{ auth: { persistSession: false } },
)
async function main() {
// Try a row-count query to see if the table exists at all
const { count, error: countErr } = await supabase
.from('skatteverket_tokens')
.select('*', { count: 'exact', head: true })
console.log('Table reachable:', !countErr, 'row count:', count, 'error:', countErr?.message ?? 'none')
// Use the postgrest schema endpoint to introspect via the OpenAPI spec
const { data: openapiResp, error: openapiErr } = await supabase
.from('skatteverket_tokens')
.select('id, user_id, expires_at, refresh_count, scope')
.limit(1)
console.log('Sample select error:', openapiErr?.message ?? 'none', ', rows:', openapiResp?.length ?? 0)
// Fetch from pg_constraint via a dedicated RPC if available, else via raw query
// Supabase JS doesn't expose raw SQL, so we use a workaround: try to provoke
// the constraint name from the upsert error itself with a dummy row.
console.log('\nProbing existing rows to count duplicates per user_id…')
const { data: rows, error: rowsErr } = await supabase
.from('skatteverket_tokens')
.select('id, user_id, created_at')
.order('created_at', { ascending: false })
if (rowsErr) {
console.error('rows fetch failed:', rowsErr.message)
return
}
const byUser = new Map<string, number>()
for (const r of rows ?? []) byUser.set(r.user_id, (byUser.get(r.user_id) ?? 0) + 1)
console.log(` ${rows?.length ?? 0} total rows across ${byUser.size} distinct user_ids`)
const dupes = [...byUser.entries()].filter(([, n]) => n > 1)
if (dupes.length) console.log(' duplicates:', dupes)
}
main().catch(err => { console.error(err); process.exit(1) })