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>
A note with a follow-up date is a task, and the overview is where tasks
are looked for. Until now it lived only in the employee file, which is
the one place you go when you already know who you are looking for.
Follow-ups behave differently from everything else on that card, and the
difference is the point: an entry on Monday is over on Tuesday, an
unfinished task is not. So there is no lower bound on the date — what
was due and never ticked off stays, marked overdue in red, sorted to the
top because it is sorted by date. A task that drops out of the list by
itself is a forgotten task.
Only "Erledigt" removes it. A note without a follow-up date never
appears: it is a record, not a task.
Checked against the live database — an overdue one and an upcoming one
appear, one without a date and one beyond the chosen period do not, and
ticking the overdue one off removes exactly it. The probe notes were
deleted again.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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>
