The demo seeds no waist measurement and no wellbeing screener, so two of
the seven pillars have never had data and the score rests on three areas
instead of five. Adiposity and wellbeing render as empty rows on the card
that is meant to show the feature.
Both are seeded now: a fortnightly waist that walks 96 cm down to 88 cm
over the window (0.527 to 0.484 at the demo profile's height, so the
ratio crosses NICE 2022's threshold inside the seeded span rather than
sitting flat green), and six WHO-5 / PHQ-9 / GAD-7 administrations with
their item answers encrypted the way the check-in route writes them, each
with the COMPUTED projection measurement so the history view and the
trend chart agree. Totals sit in the calm bands and item 9 is answered
zero throughout, which also keeps the pillar clear of its
crisis-signposting arm.
Verified against a throwaway Postgres: before, five ok pillars over three
areas; after, seven over five, tier full.
The dates were never the problem. Every timestamp the seed writes is
already relative to the run, and the header says so. What ages is the
seeded DATA — the pillar windows keep moving after a seed, so four weeks
on, activity and sleep fall out of theirs and the score narrows to
whatever cardiometabolic data is still fresh. Since v1.38 that is a
labelled partial score rather than a blank card, but it is still not the
demo at its best, and the header now says that too.
The demo account seeds rich sleep, steps, glucose, VO2max and workout
data but inserted no dashboard layout, so the home page rendered the
new-account default and under-sold the product on its primary surface.
Persist an explicit dashboard layout derived from the default with the
seeded-rich strip tiles forced on and the daily-verdict hero enabled, so
a fresh seed renders a full, lived-in dashboard for screenshots.
Round out the public demo so every feature is explorable:
- Glucose: a 14-day Nightscout-style CGM stream (a reading every 15 min)
alongside the existing spot panel, so the glucose surfaces render fully.
Tagged RANDOM to satisfy the glucose-context CHECK.
- Labs: a second older panel plus qualitative rows (negativ / nicht
nachweisbar) so the list, detail, sort and delete all have content and a
per-analyte trend.
- Illness journal: a resolved cold with a day-by-day symptom curve and an
active chronic condition carrying a recent flare.
- Cycle: opt the demo account in and seed five observed cycles with biphasic
basal body temperature, period flow, fertile-window mucus and OPK, per-day
symptoms, BODY_TEMPERATURE dual-writes, and a cached forecast.
Cleanup extended to the new tables in FK-safe order; the seed stays
idempotent across re-runs.
Mint an active AI-processing consent receipt for the demo user so the
Coach renders its sample conversation without a consent-accept write the
read-only tenant rejects. The receipt is kind `ai_full`, the master grant
the Coach and Insights gates both accept; the read path only checks an
active row of that kind, so a placeholder artefact suffices. Add a
consent_receipts reset to keep the seed idempotent.
Anchor every taken intake's scheduled_for on its canonical dose-slot
instant (08:00 morning, 20:00 evening, Europe/Berlin) with taken_at set
slightly later, so the row is slot-anchored and resolves its slot within
the dashboard's resolution radius. Previously today's morning rows used
scheduled_for = taken_at, which the scheduler reads as an ad-hoc take that
only resolves within a minute of its own instant, leaving the 08:00 slot
reading overdue while the take floated beside it. Today's picture now reads
on-track at any daytime clock, with the evening dose pending and not yet due.
The public demo has no live AI provider, so the Insights, daily-briefing,
and per-metric status surfaces rendered empty or prompted to connect a
provider. Pre-populate the same cache rows a real generation would write
so the demo shows finished, grounded English prose that survives every
re-seed without any outbound call:
- users.insights_cached_text: comprehensive insight + daily briefing
(paragraph, signals of the day, key findings, trend annotations), with
insights_cached_at refreshed so the read serves it as current.
- audit_logs: the seven per-metric status cards, stamped with today's
Berlin day key and a real model name so the cache read treats each as a
fresh assessment.
- insight_narratives: week and month narratives, AES-256-GCM at rest like
every other narrative row.
All prose follows the assessment voice: second person, grounded in the
seeded numbers, autonomy-supporting, never diagnostic. English only, the
demo locale. Adds insight_narratives to the cleanup block so the seed
stays idempotent.
One-shot prettier pass so the new format:check gate starts from a clean
baseline. Formatting only — no behaviour change. Generator-owned and
vendored artifacts stay untouched via .prettierignore.
Extend the demo tenant so it reads as a long-term, fully engaged user
across the whole app, not a thin sample. All series span the existing
ninety-day window with the latest point on today and sit in healthy
bands:
- Body composition (fat, fat-free, lean, muscle mass, total body water,
bone mass, visceral fat, BMI) derived from the same-day weight and
body-fat series so the numbers reconcile with the headline tiles.
- Blood glucose in a healthy non-diabetic band — fasting, post-meal and
bedtime readings stored in mg/dL with the glucose context tagged.
- Cardio fitness and vitals: HRV (SDNN and RMSSD), oxygen saturation,
respiratory rate, periodic VO2 max, active energy, walking/running
distance and flights climbed.
- WHOOP-style recovery, day strain and sleep performance/efficiency/
consistency scores aligned with the seeded sleep nights.
- Three to four workouts a week (running, strength, cycling) with
duration, energy, average and max heart rate, distance, a sparse
per-workout heart-rate sample series, and per-workout strain in the
metadata blob.
Clear the workout tables in the same truncate pass so the seed stays
re-runnable.
The demo seed unlocked twelve achievement ids that no longer exist in
the registry (first-measurement, week-streak-measurements,
three-month-streak, …), so the achievements surface rendered them as
unknown placeholders. Map the unlocked set to live registry keys —
first-entry badges, logging and in-range streaks, compliance and
miss-free streaks, plus the self-context and seven-night sleep badges —
each on a plausible unlock date the seeded history supports.
Tune the public demo tenant for App-Store screenshots:
- Extend the measurement loop to include today so every headline metric
has a current reading.
- Retarget blood pressure into the optimal band (~118/76), weight to a
stable healthy BMI, and add a clean resting-heart-rate series so the
resting-pulse tile scores it directly instead of the spot pulse.
- Write a full week of per-stage sleep nights (awake/REM/core/deep,
~7.5h, source APPLE_HEALTH) including last night, in minutes, and skip
the aggregate row for those nights to avoid double-counting.
- Schedule today's doses on-track: morning meds taken, the evening dose
pending and never auto-missed, so today never reads overdue or 0%.
- Add Vorsorge reminders (dental check-up, annual physical), one healthy
lab panel, one resolved illness episode, and an AI-configured Coach
with a short encrypted sample conversation.
All dates stay relative to now so the demo refreshes on every re-seed.
The demo seed's random-walk BP generator could drift below the
physiological floor and mint a systolic-0 row (iOS #33). Clamp the walk
to the same band the input validator enforces (systolic >= 40,
diastolic >= 20), reusing the VALUE_RANGES floors, so a fresh seed never
writes a sub-floor reading. Add a read-side selection guard on the blood
pressure series endpoint that excludes rows below those floors from both
the series and the implicit latest point, so a corrupt row that slipped
in before the floor was enforced can never surface as the latest
reading. Export VALUE_RANGES so both sites share one source of truth.
Two gaps stopped a fresh demo seed:
- medication_intake_events gained a NOT NULL updated_at column in the
v1.7.0 sync keyset work. The raw INSERTs omitted it; set it alongside
created_at on every intake row so the seed does not lean on the
column's migration-only default.
- app_settings carried four columns on the schema (default_locale plus
the telegram/ntfy/web-push global toggles) that never landed in the
migration history — applied via db push to existing environments but
never committed. A database built from migrations alone is missing
them, and the admin settings read path selects default_locale, so a
fresh deploy reports "column default_locale does not exist" on first
read. Add an idempotent ADD COLUMN IF NOT EXISTS drift-fix migration
mirroring 0025_user_locale_drift_fix: a no-op where the columns exist,
a clean add on a migrations-only build.
Verified end to end against a fresh Postgres 16 built from the full
migration set: the seed completes and re-runs cleanly.
Long-overdue prettier sweep; prettier had drifted vs. checked-in code
across ~130 files (mostly long-argument line-break wrapping in TS and
table-padding in markdown). Pure formatting — no semantic changes —
and required to clear the v1.4.6 release gate's `pnpm format:check`.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
HealthLog — personal health-tracking PWA with weight, blood pressure,
pulse, mood tracking, medication compliance, Withings integration,
doctor report PDF export, and Dracula-themed UI.
Marc-André Bombeck