Closes the two surfaces the 1.7.3 multi-time compliance fix did not
reach: the today-tile projection now mints one pending dose per
scheduled time, and the compliance heatmap classifies each dose against
its nearest scheduled time instead of the first window.
The History compliance heatmap matched each taken intake event to the
closest schedule by `windowStart` alone, ignoring `timesOfDay`. For a
twice-daily medication stored as one schedule row with
`timesOfDay = ["07:00","19:00"]` and `windowStart = "07:00"`, the evening
dose matched the lone 07:00 window and classified as very-late (~12h),
painting the day's cell orange even when both doses were taken on time —
so the heatmap never recovered to green for single-row multi-time
schedules.
Expand every schedule into its effective dose slots (its `timesOfDay`,
else `[windowStart]`) and classify each event against the nearest slot's
window — the slot time anchoring a window that spans the schedule's
`windowEnd − windowStart` duration, overnight spans included. Single-time
schedules collapse to one slot at `windowStart` and stay byte-identical.
The denominator already routed through the canonical engine; only the
numerator's timing classification is corrected.
The today-window projector minted a single pending intake row per
schedule, anchored at `windowStart`, dropping a schedule's first-class
`timesOfDay`. A twice-daily medication stored as one schedule row with
`timesOfDay = ["07:00","19:00"]` therefore surfaced only its morning
dose in the today tile and the "Erfassen" sheet, and the event-count
compliance rollup recorded one expected dose per day instead of two — a
perfectly adherent user read 50% the moment the second dose was logged,
and deleting then re-adding one dose left the rate stuck at 50%.
Fan the projection out over every `timesOfDay` entry, mirroring the
reminder worker's per-slot mint and dedup against the
`(userId, medicationId, scheduledFor, source)` unique index. Absent
first-class `timesOfDay` the projector still emits one slot at
`windowStart`, byte-stable against the worker's legacy single-window row.
Adds regression coverage across the projector (dashboard summary), the
legacy compliance walker, and the cadence expansion pinning the
single-row twice-daily case at the correct two-dose-per-day shape.
A medication whose schedule row carried multiple timesOfDay plus a legacy
daysOfWeek (and no rrule / rollingIntervalDays) reported 50% compliance for a
fully-adherent 2x/day dose. The expected-slot denominator always ran the
canonical recurrence engine and counted both daily slots, but the numerator
only delegated to the engine for rrule / rolling / one-shot / non-SCHEDULED
rows; a plain-legacy row fell to the local cadence walker, which emitted a
single windowStart slot per day and ignored timesOfDay. 1 taken / 2 expected
read as 50 percent.
Route expandScheduleSlots through the engine for every schedule shape whenever
a medication context is supplied, so the numerator and denominator read the
same source of truth. Harden the context-less legacy walker to iterate
timesOfDay as well, mirroring the engine's legacy branch, so the single
remaining non-engine path stays correct for multi-time rows. Drop the now-dead
expander gate helper.
Add regression guards: a 2x/day legacy row reports 2/2 through
calculateCompliance, and expectedSlotCountForDay agrees with
buildCadenceTimeline on the slot count for an identical schedule.
Four layout defects in the clinical PDF renderer:
- Stretched lines: the built-in Helvetica is WinAnsi-encoded, so glyphs
outside it (the trend arrows the summary injects, the superscript-two in
kg/m2) resolved to the .notdef box at a fallback advance width and stretched
the surrounding words. Route every drawn string (direct text, wrapped
paragraphs, and autoTable cells) through a central WinAnsi sanitiser that
maps the offenders onto safe equivalents. Embedding a Unicode TTF so the
arrows render as true glyphs is a documented follow-up.
- The sparkline dropped each reading's timestamp and plotted on an index
axis, so a trend gave no sense of its time span. Plot points by their real
timestamp and print the first/last dates under the baseline.
- No consistent bottom safe area: scattered y > 240 magic numbers and tables
with no bottom margin let content run into the footer. Introduce a single
contentMaxY derived from the page height, footer band, and bottom margin;
every break check and every autoTable bottom margin refers to it.
- Modules tore mid-block. Add an ensureSpace guard called before each module
heading and a per-line guard in every free-text loop; give the short
titration and side-effect tables rowPageBreak: avoid.
The health-record export panel sent no locale, so the server resolved the
report language from the browser's Accept-Language header. A German user on
an English-default browser got an English doctor report.
Send the active in-app locale from the panel, and on the server resolve
most-specific-first: explicit selection, then the healthlog-locale cookie
(what the user actually chose in the UI), then Accept-Language as the
weakest fallback.
The warm pass forced the seven per-metric status generators strictly
back to back per user, so a fully configured account paid ~7× one LLM
round-trip serially. Bound the inner pass with a small `p-limit(3)` so
the cards warm a few at a time without saturating the Prisma pool or
fanning out an unbounded number of provider calls. The per-user budget
gate still bounds total cost per night.
The targeted status-insight invalidator only fired on insert and batch
ingest, so editing or deleting a reading left the affected per-metric
assessment cards serving their pre-mutation text for the rest of the day.
Add the fire-and-forget invalidation to the single-measurement PUT
(covering both the old and the new type when an edit re-types a row),
the single-measurement DELETE, and the iOS by-external-ids
reconciliation DELETE (keyed off the distinct types it tombstoned).
Read the MONTH / YEAR rollup tier for the monthly / yearly slices of the
focused single-metric status snapshots (weight, pulse, bmi,
blood-pressure) via `buildGradedSeriesWithRollups`, so the coarse tiers
finally earn their write amplification. BMI has no tier of its own, so it
scales the WEIGHT tier by 1 / heightCm² (`scaleGradedSeries`) — an exact
linear transform. The multi-metric general overview and the tier-less
mood / adherence series keep their bounded in-memory fold.
Fix the coverage-miss path that returned an always-empty monthly / yearly
slice: the bounded ~90-day recent read can never supply those slices, so
on a cold-tier miss the builder now folds the full history in memory
rather than shipping empty coarse arrays when years of raw history exist.
Excludes tombstoned rows from both reads.
Lift the byte-identical `round`, `normalizeSummaryText`,
`normalizeLocale`, `summarizeSeries`, the `{summary}`-envelope parse, and
the cache-row persist block out of the seven generators into
`status-shared.ts`. Drop the per-medication expectation in the compliance
generator: the prompt returns only `{summary}`, so the per-med cards are
server-side placeholders rather than a dead model-authored branch. Remove
the unused `summarizeGradedSeries` export.
Behaviour is unchanged on the in-memory path; the rollup path is exact
where the tier composes (count / min / max / mean) and the payload stays
under the snapshot char cap.
Two small polish items on the insights category surface.
The desktop explainer popover body rendered at 11px while the mobile
sheet used the larger `text-sm`, an uncomfortable and asymmetric read.
Lift the popover body to `text-xs` (12px) so both surfaces sit on the
type scale.
The `MetricTargetSummary` docstring claimed both the range and the
in-target share are hidden when the route flags `insufficientData`. The
range stays visible — only the share is suppressed. Correct the comment
to match the code.
`<MetricExplainer>` resolves its copy through a template literal
(`insights.subPage.explainer.${metric}{Title,Body}`), so the static
call-site coverage guard never sees these keys — a typo in an
`explainerMetric` prop would paint the raw key path with no CI signal.
Walk every `explainerMetric="…"` value under `src/app/insights/**` plus
the shared healthkit-metric-page scaffold and assert each resolves a
Title and Body leaf in messages/en.json. Also pin the literal-only prop
contract and a non-empty match count so a future rename can't silently
disable the guard. The locale-integrity test then carries the EN
guarantee to the other five bundles.
Two parts to the explainer surface, landed together because they share
the same i18n block and page props.
Coverage: every routed insights category page now passes an
`explainerMetric` prop, so the heading-side `?` glyph is present on all
37 pages instead of 13. The 24 newly covered metrics — body
composition (body water, bone/fat/muscle/lean mass, fat-free mass,
visceral fat), mobility (flights, walking distance/speed/steadiness,
asymmetry, double-support, step length, walking heart rate),
cardiovascular (pulse-wave velocity, vascular age), hearing
(environmental + headphone levels, loud-sound events), respiratory
rate, daylight, blood glucose, and skin temperature — each gain a one
to two sentence layperson definition grounded in standard clinical
references, shipped in all six locales.
Keys: the explainer key segments were a German/English mix
(`blutdruck`, `puls`, `gewicht`, `schlaf`, `stimmung`, `medikamente`
alongside English ones). Rename them to English to match the
naming-convention ADR — `bloodPressure`, `pulse`, `weight`, `sleep`,
`mood`, `medications` — across every locale, and update the
`explainerMetric` prop values that reference them. These are i18n key
segments, not route slugs, so the slug contract is untouched.
The hard '~5 measurement points' floor did not fit mood (counted in
entries) or medication adherence (counted in scheduled doses). Re-word
the gate as 'a few measurement points/entries/events' and note that the
unit depends on the metric. Also fix the gating-field path: the recency
field lives at dataCoverage.newestMeasurementDaysAgo, not on summary.
The mood card noted persistent low phases but offered no gentle path to
support. When mood stays clearly low for several days, the model now
offers an autonomy-preserving pointer toward talking it through with a
trusted person or a professional — never alarming, never a diagnosis, no
emergency tone. The safety-contract matrix does not cover this pathway
and does not reach the per-metric assessment prompts, so it lives here.
For an infrequent schedule such as a weekly injection, the 7-day
compliance figure is dominated by a single dose: one miss swings the
percentage sharply and reads as a collapse it is not. Tell the model to
lean on compliance30 as the load-bearing value when schedulesPerDay is
low and treat compliance7 as a rough pointer only. Output stays {summary}.
The overall-status card summarises up to six metrics, but it inherited
the single-metric 30-60 word budget, which forced the model to either go
generic or overrun. Grant the section an explicit 3-5 sentence / 50-80
word budget and cap it at naming two metrics by name, with the rest
mentioned only when they deviate notably from their own mean.
The bmi and weight cards produced near-identical trend text for a user
with both metrics, since bmi is weight scaled by a constant. Re-aim each
card so they carry distinct information: bmi now centres on WHO-band
placement (call out a band crossing or a near-boundary value against the
person's own baseline), and weight stays on the continuous trend and
pace (kg/week, plateau, milestone). Each defers the other concern to its
sibling card.
Regenerate `docs/api/openapi.yaml` so the `InsightsLayoutBody` enum
carries the canonical English tile ids first, then the
accepted-but-deprecated legacy German ids, with the normalisation +
deprecation spelled out in the schema description. Add ADR 0001 fixing
the convention — localised UI copy, English internal identifiers — and
the non-breaking alias strategy. Add an iOS coordination note covering
the new canonical ids, the continued acceptance of the legacy ids, and
the recommended migration path.
The tile-layout enum migrates from German to English to match the route
slugs. The contract on `GET/PUT /api/insights/layout` stays
non-breaking for clients that persisted the old German ids (the iOS
layout sync among them):
- the Zod enum is built from `ACCEPTED_INSIGHTS_TILE_IDS` (canonical
English plus the legacy German aliases), so a PUT carrying old ids
validates rather than tripping a 422;
- `normalizeInsightsTileId` collapses each legacy id onto its canonical
English replacement on both the read path (`resolveInsightsLayout`)
and the write path (`serializeInsightsLayout`), so a pre-rename layout
surfaces English ids on GET without a forced re-PUT and a legacy PUT
persists English ids;
- a layout carrying both a legacy and a canonical id for one tile
dedupes to a single canonical entry.
The legacy ids are accepted-but-deprecated. Tests cover the read-side
normalisation and the write-side 200 (no 422) + canonical persistence.
Rename every routed Insights sub-page slug from German to English
(`/insights/blutdruck` -> `/insights/blood-pressure`, `gewicht` ->
`weight`, `medikamente` -> `medications`, and the full v1.7.0 metric
tail). UI copy stays localised through `t()` keys; only the internal
slugs change. The slug registry in `src/lib/insights/sub-page-metric.ts`
is the single source of truth, so the tab strip, target summary, and
daily-briefing routing targets follow it.
`next.config.ts` `redirects()` emits a permanent redirect from every
legacy German slug to its English target, including a `:path*` variant
so nested routes survive. Bookmarks and cached PWA navigation keep
resolving.
Drop the dead-field guidance (avg90/allTime, historicalComparison,
ratePressureProduct, bodyCompositionDivergence, seasonalVariation) and
the chart-token instruction. Describe the per-type measurementSeries map
and the adherence/mood/target context, pull them into one coherent
picture against the person's own baseline, and close with the single
most important doable step.
Replace the historicalComparison and moodAdherenceRisk guidance with the
actual per-medication snapshot fields (compliance7/30, streak,
taken/skipped/missed, dailySeries). Read the recent direction as
compliance7 vs compliance30 against the person's own baseline, frame
positively, and close with one blame-free doable step.
Describe the graded mood series, target band and tag list, lead on the
weekly pattern against the person's own baseline, name persistent low or
high phases calmly as an observation rather than a diagnosis, and close
with one kind doable step.
Describe the graded BMI series and target band, lead on the trend over
the single value, keep the WHO bands as placement anchors rather than a
label for the person, and name BMI's body-composition limits plainly.
Drop the chart-token instruction the status path strips out.
Replace the dead-field guidance (historicalComparison.weight,
allTimeMax, slope30, bodyCompositionDivergence, sleep.avg7) with the
graded weight series. Lead on the weekly/monthly trend rather than the
single value, define plateau and sustainable pace against the person's
own baseline, anchor milestones to their own maximum, and gate BMI
context on a known profile height.
Drop the stale snapshot vocabulary (avg7/30/90, historicalComparison,
slope30, rate-pressure product) and the chart-token instruction the
status path strips out. Describe the graded pulse series and target
band, compare the recent days to the person's own weekly/monthly
baseline at a ~5 bpm significance threshold, and frame a rising or
falling resting pulse as a possible explanation rather than a diagnosis.
The status cards render only the model's summary field, yet the prompt
described a snapshot vocabulary (avg7/30/90, historicalComparison,
ratePressureProduct, seasonalVariation) that the graded snapshot no
longer carries, and demanded a full findings/correlations JSON schema
that this path never reads.
Rebuild the shared base prompt around the actual graded shape (summary +
recent/weekly/monthly/yearly with min/max/mean/slope), the own-baseline
comparison, a name -> place -> one-step structure, a warm
autonomy-supporting tone, a 2-4 sentence length, honest data-gating, and
a { summary } output. The blood-pressure section judges systolic and
diastolic together against the person's own baseline with ESH 2023 as
the placement anchor.
Hang `invalidateStatusInsightsForTypes` off every measurement ingest
path so a new reading of a type drops the cached assessment rows that
reading dirties — the next mount or nightly warm pass then regenerates
them against the new data instead of serving the pre-measurement text
for the rest of the day.
Wired into both `/api/measurements` modes (single + multi-entry batch),
`/api/measurements/batch`, and the three Withings sync paths
(measures + activity + sleep), reusing the `collapseToTypeDayKeys`
result each already computes for its rollup recompute. The call is
fire-and-forget after the user's write commits: idempotent, never a
blocker on the request path, and a failure only warns.
The comprehensive generator evicts the seven `insights.<scope>-status`
caches as part of its write so a stale comprehensive insight can never
leave a stale per-metric card behind — but it does not re-fill them.
Before this, the morning after the nightly pre-gen cron ran the
per-metric status caches were empty, so the first `/insights` mount
still ran one live status generation per card.
After a successful comprehensive generation the cron now forces the
seven `*StatusForUser` generators so their caches are warm, not empty,
by the user's first visit. The warm pass only runs on a `generated`
outcome (a no-provider `skipped` has nothing to warm; a `failed` run
means the chain is unhealthy this tick — re-running it seven more times
would only multiply the failure). Each generator resolves the provider
chain internally, so a provider-less account stays cheap. The per-user
budget bucket that already bounds the comprehensive pass also gates the
warm pass — both run behind the same once-per-20h gate.
`runInsightPregenerate` now reports `assessmentsWarmed` and emits an
`insights.pregenerate.run` wide-event with the full per-run tally so the
nightly dashboard can track how many assessments each tick wrote.
Also adds `invalidateStatusInsightsForTypes` + `PER_STATUS_SCOPES` to
the comprehensive generator: a type → scope map (WEIGHT → weight + bmi +
general, BP → blood-pressure + general, PULSE/resting-HR → pulse +
general, everything else → general) so the ingest path can drop only the
scopes a fresh reading dirties.
Pin the snapshot payload budget: a 2-year daily weigher (weight + daily
BP) and a six-type dense account both serialise under the 24 000-char
cap, proving the graded rewrite holds the line on the worst-case
accounts. The stub-skip and timeout-no-persist behaviour is covered by
the per-generator cache-read tests + the shared status-cache suite.
The seven per-card generators embedded the full ~360-day daily array
per metric plus correlation pair arrays, and never touched the
WEEK/MONTH/YEAR rollup tier. A dense daily weigher ran the weight
snapshot ~80-110 KB; a many-type account could push general-status past
100 K tokens.
Embed the shared graded series instead of the full daily array, cap the
embedded correlation/paired arrays to their most recent entries, skip
measurement types with no data in general-status, and apply a generic
24 000-char snapshot budget that sheds yearly -> weekly -> array-tails
-> recent until it fits. The applyPayloadBudget daily buckets stay
in-process to drive the latest-day focus, in-target gates, and
correlation pairing; only the compact shape reaches the prompt.
Measured on a 2-year daily account: weight-status ~15 KB, general-status
~12 KB across six dense types — both well under the cap.
Turn a metric's history into a small, bucketed, AI-ready shape: the
last ~21 days verbatim at daily granularity, the ~10 weeks before that
as ISO-week means, the ~12 months before that as calendar-month means,
and everything older as yearly buckets with a least-squares trend
slope. ~30-45 rows per metric regardless of history depth, never an
individual reading beyond the recent window.
A pure in-memory builder folds raw points; a rollup-backed builder
sources the monthly/yearly slices from the pre-aggregated MONTH/YEAR
tier (readBestGranularityRollups) and the recent/weekly slices from a
bounded ~90-day raw read, so the coarse rollup tier finally earns its
write amplification. The recent/weekly bucketing mirrors the coach's
timeline split, duplicated here so the coach contract stays put.
The per-card status path capped provider generation at 20 s and, on
timeout, persisted the generic no-key fallback as a day-keyed cache row.
The cache-read only checked the day key and text, so that stub looked
like a real assessment and stuck until midnight — hiding the real,
data-driven text for the rest of the day on any account that hit a
single transient stall.
Align the budget with the provider clients' 60 s ceiling, route the
status path through resolveProviderChain + runRawCompletionWithFallback
so a degraded provider cascades like the coach, and stop persisting the
fallback: a timeout or error is a transient miss that serves the
fallback for the current render and re-attempts on the next mount. A
shared cache-read rejects any lingering timeout-stub rows by their
markers, and withTimeout now annotates real errors instead of folding
them silently into the timeout path.
Each insights category page now carries two additions placed beside the
chart and assessment:
- a target-range card (MetricTargetSummary) showing the numeric goal
band and the share of logged days within it, read from the shared
/api/insights/targets payload so the bands match the /targets editor
exactly. Blood pressure stitches the systolic and diastolic bands into
one S/D string. A discreet link routes to /targets to adjust the band.
- a question-mark explainer next to each heading (MetricExplainer in
SubPageShell) opening a static, layperson 'What is X?' read. Popover on
desktop, bottom-sheet on phones; keyboard- and touch-reachable with a
44px hit surface. Copy ships in all six locales.
The /targets page stays the canonical place to tune the bands.
The advanced sheet sits on one medication and its import already loads
that medication's intake history, but the co-located export streamed
every medication. Pass the medication id through to the export route,
which narrows both the medication row and the intake history by it
(always alongside userId, so a foreign id 404s rather than leaking).
The medication-card kebab menu comment implied the GLP-1 "Log side
effect" item is reachable from the card. It is not wired on the
medications list page — both card variants there receive only the
edit / history / advanced handlers, so the item never renders. Side-
effect logging lives on the detail page's SideEffectsSection. Correct
the comment to match.
Remove the scheduling i18n key subtrees orphaned when the schedule
section and cadence-summary row left the card: section, loading,
loadFailed, editCta, reminders, cadenceViz, compliance, oneShot,
legacyWindow, plus detail.cadence.title. Dropped in lockstep across all
six locales; the still-live naturalLanguage / cadence / timesOfDay /
courseWindow keys stay.
The generic medication card and the GLP-1 variant carried ~120 lines of
hand-synced JSX for the status pill, compliance bars, primary intake
actions, and state badges. Lift these into single-purpose presentational
components under card-parts/ consumed by both cards, so symmetry is
structural rather than maintained by hand.
Unify the day-streak flame onto the canonical text-dracula-orange
warning/streak token. The generic card had drifted onto Tailwind-stock
text-orange-400; both cards now render the same token.
No visual or behavioural change beyond the streak-token convergence.
It is a build-time NEXT_PUBLIC_* var (inlined into the client bundle),
default ON, disabled only by rebuilding with the var set to false. Note
the build-time nature in .env.production.example and getting-started,
and keep it out of the compose runtime whitelist where it would mislead
operators.
The v1.7.2 default-ON snapshot flag makes the dashboard read every tile
from GET /api/dashboard/snapshot; the e2e build sets no opt-out var, so
the specs that only mocked the legacy cells hit the real route, got
empty summaries for the zero-measurement seed user, and timed out the
tile/chart assertions.
Add a shared, correctly-typed mock helper and wire it into the five
tile-asserting specs alongside the existing legacy mocks (kept to
protect the reversible path).
The detail page carried an Edit / History / Advanced action row and a
'Rhythmus' cadence block that duplicated the card actions. Drop them:
editing and advanced settings are now reached from the card overflow
menu only. The detail page leads with the intake-history table, keeps
the GLP-1 drug-level / titration as a default-closed disclosure, and
renders a compact, read-only summary header (name, dose, status, plain-
language cadence line).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The overview cards (generic and GLP-1) carried four header icon-buttons
(open / edit / history / advanced). Collapse them into a single overflow
kebab and make the card header link to the detail page. The GLP-1 card
folds its side-effect quick-log into the same menu so both variants keep
one symmetric affordance. Menu items inherit the 44px tap-target floor
from the dropdown primitive.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The chat-side sources rail and the settings cog drove two different
data-source models — the rail hardcoded the legacy five sources and kept
its selection in ephemeral drawer state that reset on close, while the cog
edited the ten persisted clusters on User.coachPrefsJson. The prompt scope
followed the persisted clusters, so what the rail showed could differ from
what the model received.
Bind the rail to the same persisted prefs: it now reads useCoachPrefs and
writes the cluster toggles + analysis window through a shared
useSaveCoachPrefs mutation, so a toggle sticks and the cog reflects it (and
vice-versa). The chat request no longer sends a scope override, so the
route resolves the source set and window from coachPrefsJson and the rail
display cannot drift from the prompt. Drop the ephemeral scope state, the
duplicate header window pill, and the legacy five-source rail model.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Widen the medication advanced-settings dialog to the 4xl token and lay
the Data, Reminders and Lifecycle groups into a responsive two-column
grid on lg+ so a normal desktop viewport no longer forces a long
single-column scroll. The Danger zone keeps its destructive-tinted card
full-width at the bottom, separated from routine toggles.
Co-locate medications CSV export beside the intake import in the Data
group: a new DataPortabilityRow pairs the import button with an export
button that hits the existing /api/export/medications endpoint, with an
intake-history toggle mirroring the Settings export card. No new
endpoint.
Correct the import affordance copy to JSON — the dialog and API only
parse a JSON intake array, so the prior CSV/JSON label overstated the
accepted format.
Default the dashboard snapshot flag to ON (disable with
NEXT_PUBLIC_DASHBOARD_SNAPSHOT=false). The legacy four-cell waterfall
let the mood cache resolve first and pop in ahead of the rest of the
strip; the snapshot path hydrates every tile from one un-gated cell so
the whole strip shares a single completion moment.
Defaulting on rather than gating on === "true" sidesteps the
NEXT_PUBLIC_* build-time-baking trap: the production image and dev/e2e
all exercise the snapshot path without a special build flag. Fully
reversible to the legacy path via the env var. Comment-only sync in
page.tsx; no logic change there.
Marc-André Bombeck