4ac516daa1b3fe711f8fa23853aaa7eb4e926329
5 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
| b87c8ad64c |
Remove Supabase
The database moved to a container of our own; the platform is gone. This takes out what was left of it — and, where the leftovers were load bearing, moves rather than deletes. Moved, not deleted: supabase/migrations/ -> db/migrations/ the schema's source of truth supabase/build-org.ts -> scripts/build-org.ts lib/supabase/types.ts -> lib/types.ts 52 import sites repointed The bookkeeping needed care. It lived in `supabase_migrations.schema_migrations`, and simply renaming the schema would have left the runner facing an empty table: it would have called all 67 migrations pending and replayed them against a database that is long since current. So the runner now creates `migrationen.schema_migrations` and, once, copies the old rows across — guarded so a second run does nothing and a fresh database skips it entirely. Only then does migration 20260907100000 drop the old schema. Deleted: the CLI config, the seed, the historical schema/function dumps (nothing read them), scripts/umzug-von-supabase.sh (the move is done), and both Supabase packages plus the CLI. Nothing in the application imported them — the build now succeeds with no environment variables at all, which is the proof. Integration tests: six of them signed in through Supabase Auth and asserted against the anon key and the service role. That model is gone, so the tests were not portable — they are deleted. session-context and employee-status-filter already ran on pg and are untouched; om-reporting is ported to a direct connection because it guards a real risk (the reporting line rule exists twice, once in SQL and once in TypeScript). CI: the integration job started a Supabase stack. It now runs a postgres service, applies deploy/db-init and every migration to an empty database — that was the valuable part, and it still holds — then checks that a second run is a no-op, which is what proves the bookkeeping works. Docs: security-review.md audited a service-role key, a cookie adapter and auth.users, none of which exist. Restating findings about removed components would suggest today's system had been reviewed; it has not. It now records what was removed and says a fresh review is due. data-model.md was already marked obsolete and described the pre-OM schema; azure-migration.md was a plan for a route not taken. Both deleted. Verified: npm ci, typecheck, lint, 445 tests, build — all clean without the packages. Integration tests skip cleanly with no database. Migration SQL and the runner are reviewed but NOT executed: no Docker here, and the old instance no longer resolves. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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| 91b2b3406b |
Stop waiting on the network eleven times per page
The app got slower as pages grew, and the reason was not the queries. It was their number. A transaction is pinned to one connection, and a connection runs queries one after another. Every Promise.all in a withUser block looked like concurrency and was a queue. Measured against the real database: the round trip is ~36 ms, ten trivial `select 1` over one connection take 343 ms, over ten connections 39 ms. Nothing here is slow — the whole dashboard payload is under 200 kB, and every table is around a thousand rows. More connections is the wrong answer: the RLS session context is per transaction, so parallel reads mean parallel transactions, and those multiply the connections the database will grant. Fewer round trips instead. Postgres will return each sub-select as its own JSON column of one result. Per page view, counting the transaction frame: shell (paid by every page) 10 → 4 overview 14 → 5 employee file 14 → 7 employee list 8 → 6 The overview plus its shell went from 24 round trips to 9 — about 860 ms of pure waiting down to about 320 ms. The one trap is documented where it bites: inside json_agg, Postgres formats values itself and the driver's parsers (lib/db/pool.ts) never see them. Dates, numerics and uuids come out identical; timestamptz does not — "+00:00" where the driver gives "…Z". Timestamps are compared as strings in lib/history.ts to decide what happened later, and those two forms sort against each other wrongly. Every timestamptz in a bundled query therefore goes through zeitstempel(), which was checked character-for-character against the driver. Four loaders moved out of their pages into lib/ so the number of round trips can be measured without building a React tree, and so the new path could be held against the old one field by field: same rows, same order, same strings, for the overview and for four employee files chosen to differ (with history, a chief, a planned entry, one with dependents). withUser now counts the queries in each transaction and says so in development past a threshold. Without that, this grows back: each new tile brings its own query, and nobody notices until everybody does. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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| 8a76b3688f |
Show people surname first
Employee names now read "Winkler, Hannah" wherever a person appears in a list, a table, a heading or a tree node. That is the order a personnel list is kept in, it is the order people are looked up in, and it finally matches the sorting — the employee list has always been ordered by surname, which made an alphabetical page look unsorted. The name was being assembled inline in about twenty places. A rename that catches half of them is worse than none, so it now goes through fmtName in lib/format.ts and every display site calls it. Sentences keep the natural order: "Hannah Winkler wurde versetzt" reads like German, "Winkler, Hannah wurde versetzt" reads like a form. So the toasts are unchanged and only labels moved. Two things the change would have quietly broken: The org chart's own filter matched against "first last". It now matches either order, with or without the comma, so typing what you see works and so does typing what you remember. The print model sorted by the last word of the composed name, which happened to be the surname and is now the first name — every printed unit would have come out sorted by first name. It sorts on the surname field itself now, which is what it meant all along. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> |
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| b3a0af2b8f |
Talk to PostgreSQL directly, and let the pooled connection forget
Zweiter Schritt weg von Supabase. Sämtliche 49 Lesezugriffe und alle
Mutationen laufen jetzt über lib/db statt über die REST-Schicht: Kysely auf
einem pg-Pool, jede Abfrage in einer Transaktion, in der zuerst
app.user_id gesetzt wird. Die Anmeldung hängt noch an GoTrue — sie liefert
die Kennung, die in withUser() geht. Damit war der Umbau in zwei Hälften
teilbar und die Anwendung durchgehend lauffähig.
Was dabei ersatzlos verschwindet:
- fetchAllRows. Es gab die Funktion nur, weil PostgREST jede Antwort bei
1000 Zeilen still abschneidet und ein Bericht dann leise falsch war.
Am direkten Zugang ist eine Abfrage eine Abfrage.
- sanitizeIlikeTerm samt Test. Sie entschärfte Zeichen, die in der
Filtersyntax strukturelle Bedeutung hatten; jetzt wird der Suchbegriff
als Parameter gebunden und ein Komma ist ein Komma. Die Lücke ist nicht
abgesichert, sondern weg.
- lib/supabase/admin.ts. Der Dienstschlüssel, der RLS aushebelte, hatte
genau einen Aufrufer — den nächtlichen Lauf. Der benutzt jetzt dieselbe
Rolle ohne BYPASSRLS und ruft eine SECURITY-DEFINER-Funktion auf, die
selbst prüft, was sie tut. Es gibt keinen privilegierten Zugang mehr.
Nebenbei besser geworden, weil der direkte Zugang es erlaubt:
- Eine Seite ist eine Transaktion. Das Layout etwa liest Profil,
Planstellen, Standorte, Entwürfe und Notizen auf einem einheitlichen
Lesestand statt in fünf unabhängigen Anfragen.
- Der Bereichsfilter der Mitarbeiterliste ist ein EXISTS statt einer
eingebetteten Ressource mit !inner — eine Person mit mehreren
Zuordnungen über die Zeit erschien dort mehrfach.
- Seitenweise Listen sortieren zusätzlich nach id. Bei gleichem Nachnamen
oder gleichem Zeitstempel war die Reihenfolge vorher unbestimmt, und
dieselbe Zeile konnte auf zwei Seiten erscheinen oder auf keiner.
- Angehörige werden in der Datenbank gezählt statt alle Zeilen zu holen.
- Namen an Ereigniszeilen kommen aus einem Join statt aus einem
Nachschlag, der ausserhalb der Transaktion lag.
Der Statusfilter ist mitgezogen: dieselbe Regel wie deriveStatusAsOf,
Klausel für Klausel, jetzt als Kysely-Ausdruck. Der Integrationstest, der
beide über den gesamten Bestand vergleicht, läuft weiter — mit eigener
Verbindung, denn geprüft wird die Bedingung, nicht die Berechtigung.
Zwei Fehler auf dem Weg, beide vom Typprüfer gefangen: apply_due_pending_
changes() nimmt kein Argument, wurde von callFunction aber mit jsonb
aufgerufen — Postgres hätte keine passende Signatur gefunden. Und der
Sicherheitstest lädt jetzt Module mit `import "server-only"`, was ausserhalb
der Server-Übersetzung wirft.
Typecheck, Lint, Build und 180 Tests sind grün. Ungeprüft bleibt der Lauf
gegen eine echte Datenbank — dafür fehlt eine DATABASE_URL.
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| 79f0e19bf8 |
Org assignment history, mobile support, and a correctness pass
Data model - employee_assignments records org placement over time (valid_from/valid_to), written by a trigger on `employees` rather than inside each RPC: ~70 `update employees` statements spread over fifteen migrations mean per-call bookkeeping would miss paths today and again with every future RPC. A partial unique index enforces the one-open-interval invariant the trigger relies on when closing the current row. - The Organigramm gains a Stichtag (default today). Membership comes from entry/exit/karenz, past placement from the new history, future placement projected from pending_org_changes. Placements predating the migration are backfilled with today's values and flagged as such in the UI, since employee_history only ever stored free text and cannot be reconstructed. Correctness - Reports and exports silently truncated at PostgREST's 1000-row cap (db.max_rows); employee_history is already past it at ~800 staff. Every whole-table read now pages explicitly. - XLSX date cells were a day early: ExcelJS converts a Date to an Excel serial straight off getTime(), so a Date built at local midnight lands on the previous day's serial in any positive-offset zone. - Date handling is pinned to Europe/Vienna throughout, and date-only strings are formatted without a Date round-trip. The dashboard's YTD window was built by round-tripping a local Date through toISOString(), which shifted it a day early and dropped 31 December entirely. - Export routes parsed measure/group/split/eventType with unchecked `as` casts, so an unknown value reached column headers as `undefined` and the Content-Disposition filename. Parsed against the label maps now, with the filename slugged as a backstop. - toXlsx keyed columns by header text, silently dropping the second of any two columns sharing a name — split columns take their header from data. - The org chart tree walks had no cycle guard; nothing in the schema forbids a manager_id cycle, and one would hang the tab rather than misreport. - The login page reflected ?error= verbatim, letting anyone put arbitrary text on the real sign-in screen; messages are looked up by code now. - React Flow needs elementsSelectable on, or it sets pointer-events:none on the whole node and the expand control stops responding. UI - Mobile: the shell was unusable below lg — a fixed 236px margin pushed content off-screen with no mobile navigation at all. The sidebar is now a drawer, dvh replaces vh, safe-area insets are honoured, inputs are 16px so iOS stops zooming on focus, and form grids stack. - Org chart nodes redesigned: per-kind accent stripes and icons, vacant roles called out, expand control moved to the bottom edge carrying the child count. - Pagination is windowed; it previously rendered one link per page (54 for the employee list, unbounded for the audit log). - Positions page reduced to open positions with a single "Besetzen" action. - The employee Organisation tab links into the org chart focused on that person, reusing the chart's existing search-match highlighting. Also included, uncommitted until now - Dependants, HR notes, academic titles, split address fields, position validity and role/employment fields, with their migrations and UI. - Docker/compose deployment setup, data-model and security-review docs. |
