The full-backup export (plaintext + passphrase-encrypted, and the weekly
auto-backup) only ever covered measurements, medications, mood, and cycle
data. Labs, illness episodes, allergies, family history, and workouts were
silently missing, and the export UI implied "everything" was included.
Adds a shared records-backup section (src/lib/export/records-backup.ts) that
both the on-demand export routes and the weekly data-backup worker read from:
lab results + the biomarker catalog, illness episodes (including flares via
parentConditionId) with their day-logs, allergies, family history, and
workout summaries. Every read is owner-scoped and soft-delete-filtered;
encrypted free-text columns decrypt fail-soft so one bad row never aborts
the whole backup.
Document original files and workout GPS/per-sample time series stay
deliberately out of the JSON payload (size). The payload now carries an
explicit manifest disclosing exactly that, and the export UI states it in
plain text instead of implying completeness. These new domains are
export-only for now — admin restore still only recreates the original
measurements/medications/mood/cycle domains; the payload validates and
reports counts for the rest, but restoring a snapshot does not yet recreate
them.
Also fixes the admin backup-upload total to count every domain, not just
the original four.
The annual-blood-panel auto-resolve that findLatestLabResultForAnalytes was
meant to feed never got wired into the Vorsorge reminder, so the export sits
with zero callers and the labAnalyteTrend query-key has no consumer (the
sparkline is prop-fed and there is no labs trend endpoint). Remove both so the
knip gate is clean; the Vorsorge lab read-back can come back with the wiring
that needs it.
Record discrete biomarker readings (HbA1c, LDL, ferritin, TSH, …) with
their value, unit, reference range and sample date. The store pairs with
the annual blood-panel reminder, which until now had nowhere to record
the result it reminds the user to obtain.
The list/create/update/delete endpoints narrow userId from the session,
build the write data field-by-field, soft-delete via deletedAt, and
encrypt the optional note at rest. A neutral three-state reference-range
classifier (in-range / below / above / unknown) is computed
server-side so every surface renders the same calm verdict.
findLatestLabResultForAnalytes exposes the read point the blood-panel
reminder consults to mark itself satisfied, without coupling the two.
Marc-André Bombeck