The reminder worker failed to start in the production bundle with
`ReferenceError: Cannot access 'l' before initialization`, taking every
nightly pg-boss job down with it (score jobs + dense-intraday retention).
Root cause is a value-level import cycle between `consolidation-base.ts`
and `drain-per-sample-cumulative.ts`: each imported values from the other.
The bundler merges the tightly-cyclic pair into one module body and hoists
`DRAIN_CUMULATIVE_CUTOFF_HOURS = CONSOLIDATION_GRACE_CUTOFF_HOURS` ahead of
the constant it reads, so the eager read hits a temporal dead zone. It only
surfaced in the production build because dev/test run the modules unbundled.
Hoist the shared leaf — `CONSOLIDATION_GRACE_CUTOFF_HOURS`, the `PerSampleRow`
shape, and the timezone day-math helpers — into a new dependency-free module
`consolidation-tz.ts`. Both sides now import from the leaf, removing the cycle
at its root. Re-export the moved names from their former homes so every
existing import site resolves unchanged.
The Insights cold mount fired 14+ independent GET /api/insights/derived
requests — Readiness, Sleep and the vitals baselines are compute-on-visit,
and all of them share one Prisma pool. That is the pool-starvation class
that surfaces as the app hanging then recovering.
Add GET /api/insights/derived/batch?metrics=a,b,c[:type] that resolves the
requested metrics server-side under a bounded p-limit(4) with the profile
loaded once via the shared loadBaselineProfile, returning a map of the same
flat Derived<T> envelope keyed by the request token. Add the useDerivedBatch
hook + the insightsDerivedBatch query-key factory entry; the single-metric
route + hook stay for the per-score detail pages. The single route now also
adopts loadBaselineProfile instead of re-inlining the profile read. Honors
the existing 8s ceiling, retry:0, replace-with-fallback, and warms nothing
on visit. Register the new route in the OpenAPI contract.
The band primitives (score ring, coverage dots, contributor bars,
provenance chips + standard link, sparkline tint, trend arrow/delta)
painted straight from the raw `--dracula-*` variables, which carry no
`:root.light` override. On the white card the Alucard light theme uses,
the green/orange/yellow cleared roughly 1.1-1.5:1 — under AA — and the
`bg-dracula-yellow` confidence dot read near-invisible. The file comment
claimed they 'track automatically'; they did not.
Point BAND_NUMBER/PROGRESS/BORDER/VAR, the coverage-meter dot tint, the
provenance cyan chips, the sparkline stroke, and sentimentColorClass at
the semantic `--success`/`--warning`/`--destructive`/`--info` tokens
instead. Those alias the same Dracula tones in dark mode (pixel-identical
there, the primary target) but carry the darker AA-safe values under
`:root.light`. Clamp the score-ring provisional caption to one line so a
longer localised string cannot wrap over the ring arc.
WRITABLE_MEASUREMENT_SOURCES was a dead export whose docblock claimed it
gated the single-entry POST, but the schema only refined out COMPUTED —
WITHINGS and IMPORT stayed client-writable, so a client could attribute a row
to a source the server owns (the Withings webhook / CSV importer) and pollute
the per-source canonical picker. Wire createMeasurementSchema.source to a Zod
enum built from the now-correct {MANUAL, APPLE_HEALTH} allowlist; the enum
subsumes the old COMPUTED refine. Regenerate the OpenAPI contract.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The readiness and coincident-deviation composites passed historyDays =
windowDays (a constant) into deriveCoverage, pinning historyFraction to 1 so
a 7-day and a 30-day blend reported identical confidence. Pass the real
distinct-history-days backing the composite (the depth of the
best-supported present contributor) so confidence tracks actual depth.
The readiness provenance source was derived only from RHR/HRV/respiratory, so
a blend backed solely by sleep + mood could mislabel as DAY. Fold the present
sleep + mood provenance in so the source chip matches what actually backed
the headline.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The sleep-score consistency + timing sub-scores measured the midpoint as a
linear minutes-of-day difference, so a sleeper whose midpoint straddles
midnight (and any night across a DST shift) read a spurious ~24-hour spread
that inflated the SD and timing distance. Measure the midpoint on the
circular 24-hour clock (mod 1440) — a circular mean for the habitual midpoint
and a circular distance for the SD and timing offset.
Efficiency clamped asleep > in-bed (overlapping HealthKit stages) silently to
100, masking a data problem. Handle the overlap explicitly: a small overshoot
caps at the AASM ceiling of 100 (asleep cannot exceed time in bed), a gross
overshoot drops the sub-score because the in-bed denominator is not usable.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
computeHrvBalance read recentAvg = baseline.value.center, which is the band
midpoint by construction and therefore always inside [low, high] — so the
"low" and "unbalanced" arms were dead and the card could only ever read
"balanced". Compute recentAvg from the last <= 7 DAY means (the recent
trend) and place that against the longer-window personal band, so a
suppressed recent trend flags "low" and an elevated one flags "unbalanced".
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The Recovery/Stress/Strain crons fire in the small hours (04:45-04:55
Europe/Berlin, ~03 UTC) but scored the CURRENT UTC day, only a few hours
old: Strain missed the just-completed day's workouts and Stress saw a
near-empty intra-day SDNN set and falsely gated as insufficient. Score the
day that just ended (now - 1 day) across all three engines and their
measuredAt / externalId day stamps.
Resolve the previous-day key in one place by extracting the shared score-row
helpers the three engines each duplicated: scoreDayKey / scoreMeasuredAt /
scoreExternalId, the idempotent upsertScoreRow, and the cohort runScoreBatch
tally loop into src/lib/insights/score-row.ts; and loadBaselineProfile into
the baseline engine (the three byte-identical profile loaders + the partial
strain variant now route through it). The derived route should adopt
loadBaselineProfile too.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
When a derived wellness score (readiness or recovery) crosses a notability gate
— outside the green band AND confidence at least medium — the insights
generator now appends a SYSTEM CONTEXT block so the briefing can narrate the
shift observationally. Mirrors the GLP-1 plateau detector's append mechanism:
reads the one derived contract, returns null (the common case) at zero token
cost, and instructs the model to frame the signal as an observed pattern, never
a diagnosis or a dose recommendation. Add the readiness/recovery sourceMetric
enum values plus their briefing href + icon + trend-chart mappings.
Surface the server-derived nightly scores (recovery / stress / strain) in the
health-record export without polluting the clinical layer. The aggregator now
emits a wellnessScores summary (latest / avg / min / max / count per score over
the window) built from the already-fetched COMPUTED rows. The PDF renders them
in a clearly-labelled "Wellness summary" section, separate from the clinical
vitals table, with a "descriptive, not a clinical assessment" disclaimer. The
FHIR bundle emits one Observation per score under the survey category with a
text-only concept and the same disclaimer as an Annotation note, so a viewer
never mistakes a band for a diagnosis.
Add a "derived" block to the Coach snapshot: one tiny object per high-signal
derived metric (readiness, recovery, sleep, stress, strain, HRV balance,
cardio-fitness band, vascular-age delta) carrying value + band + confidence +
historyDays — never the raw series. A fully-populated block is ~250 tokens,
comfortably inside the snapshot budget. Insufficient metrics are omitted so the
model never sees no-data noise; each metric's compute is fault-isolated so a
transient failure on one never sinks the turn. Gated on the underlying signals
staying in scope. The system prompt now documents the block and frames the
bands as descriptive composites, not clinical findings.
Register RECOVERY_SCORE / STRESS_SCORE / STRAIN_SCORE as derived metrics that
read the nightly-persisted COMPUTED Measurement rows — a passthrough, never a
recompute. The dispatcher routes the three ids to a thin reader that returns
the latest score, a trailing-window trend, and a direction-aware band (stress
and strain invert, so a high stress reads red). This lets every surface — the
dashboard, the Coach snapshot, the doctor report — consume the scores through
the one Derived<T> route + hook rather than each growing its own read path.
Regenerate the OpenAPI enum, which picks up the three ids from the registry.
Two parallel loaders for the generic derived-metric route had grown — a
components-local hook keyed on a 4-element tuple and a hooks/ hook keyed on a
3-or-4-element tuple. Both shared the ["insights","derived",metric,…] prefix
with different tuple shapes, which silently poisons the TanStack cache between
surfaces. Collapse to the single components-local hook (auth-gated, 8 s client
ceiling, retry-free) on the one insightsDerived factory key; the fourth slot is
always present so the metric prefix can no longer carry two shapes.
Wire the two nightly score passes and the dense intra-day retention drain
into the worker. The stress (04:50) and strain (04:55) crons each get a
queue, a schedule, and a single-flight handler; the dense-retention drain
gets a per-user backfill queue with boot discovery (like mean-consolidation)
and folds its steady-state nightly walk onto the existing drain-cumulative
tick, after the daily-mean fold.
A queue not registered in allQueues silently never drains, so a source-grep
guard pins every registration site for all three jobs.
Derive a daily cardio-load proxy from the per-workout heart-rate series
plus active energy. Each workout's HR series scores via Banister's
gender-weighted exponential TRIMP over the fractional heart-rate reserve
(Tanaka age-predicted HRmax, the user's resting HR); the day's TRIMP totals
map to a 0-100 saturating scale. Days with no usable HR series but a
non-trivial active-energy total fall back to an energy-only proxy, with the
path recorded in the result.
Stored as a COMPUTED STRAIN_SCORE row, idempotent per user per day, gated
when neither a usable HR series nor active energy is present.
Standard: Banister 1991; Morton, Fitz-Clarke & Banister 1990 (TRIMP);
Tanaka, Monahan & Seals 2001 (HRmax).
Apple Watch has no electrodermal sensor, so there is no direct stress
measurement to read — what HealthKit does give is discrete SDNN samples
through the day. Derive an honest HRV-through-day PROXY: a suppressed,
below-baseline intra-day SDNN is a recognised marker of higher sympathetic
load. The provenance and label say "HRV-derived proxy" and never imply a
galvanic/EDA reading.
The engine reuses the shared vitals-baseline math (the same SDNN baseline
the wellness index reads), maps the day's below-baseline suppression to a
0-100 score, and stores it as a COMPUTED STRESS_SCORE row — server-owned, a
client can never POST it. It gates and writes nothing below the minimum
intra-day sample floor or without a usable baseline.
Standard: Kim et al. 2018 (HRV and stress meta-analysis); Thayer et al. 2012
(neurovisceral integration). Idempotent per user per day via the nightly job.
Daytime heart-rate-variability (SDNN) and heart-rate samples need to keep
their intra-day shape long enough for the stress engine to read them, but
the raw per-sample volume must stay bounded. Add a retention tier that
keeps the last 14 days of raw HRV/HR samples and folds everything older to
one daily-mean row via the proven mean-consolidation drain (same idempotent
stats:<HK>:<day> fold, soft-delete, and rollup recompute).
The two dense-tier types are deliberately EXEMPT from the destructive
daily-mean drain allowlist (HIGH_FREQUENCY_MEAN_TYPES) — that drain would
collapse the intra-day shape and soft-delete the raw rows. A regression test
pins both exclusions so a future edit that adds either type to the drain
allowlist fails loudly.
Migration 0108 adds only the partial index that keeps the retention drain's
discovery and per-user scan cheap; the retention bound lives in code so
tuning it never needs a migration.
Add a recovery-score engine that turns a user's already-stored nightly
signals into a stored 0-100 score. It reuses the readiness blend — the
resting-heart-rate, HRV (SDNN), sleep and respiratory-rate deviation
from the personal baseline, with the null-redistribution the health
score already uses — so the stored series and the live readiness surface
can never drift. The lineage is the recovery-marker literature (Plews
2013, Buchheit 2014): a higher score reads as more recovered. It is a
descriptive wellness proxy, not a clinical or training-recovery
assessment, and it is only stored when enough components are present —
below that floor no row is written rather than a headline from one
signal.
A nightly job computes each eligible user's score and upserts it as a
COMPUTED RECOVERY_SCORE row, idempotent per user per day on the
externalId day key, so a re-fired tick overwrites in place instead of
duplicating. The score is never computed on a page visit. The queue is
registered in the worker's queue inventory, scheduled, and wired to a
handler; a grep guard pins all four points so it cannot silently never
run.
Add a server-owned COMPUTED measurement source for rows a server engine
derives rather than a device or a person reports, plus three first-class
0-100 score types — RECOVERY_SCORE, STRESS_SCORE, STRAIN_SCORE (unit
"score", plausibility range 0..100).
COMPUTED is read-only from a client's perspective: it joins the read /
decode enum so the native client can decode the rows it queries and
charts, but every client-facing write surface rejects it exactly like
WITHINGS and IMPORT — the batch ingest allowlist stays {APPLE_HEALTH,
MANUAL} and the single-entry POST 422s a COMPUTED source.
All three score types thread through every type-exhaustiveness site: the
unit + plausibility-range maps, the PR-direction resolver (scores carry
no record direction, like the device events), the category overlay (a
new "scores" cluster), the list-view label / icon / colour maps with
locale strings across all six bundles, and the insight chart-token
allowlist + orphan-enum stripper. They are not clinical vitals, so they
stay out of the doctor-report PDF.
Only the recovery score is computed today; the stress and strain types
are defined now so the engines that compute them later need no schema
change. Migration 0106 is purely additive (ADD VALUE IF NOT EXISTS).
Raise the per-export administration ceiling from 1000 to 5000 (~3.5 years
at four doses a day) and resolve it from FHIR_MAX_MEDICATION_ADMINISTRATIONS,
bounded 1..50000 with a fallback to 5000 on an unset or out-of-range value.
The windowed-then-capped newest-first behaviour and the honest-truncation
narrative are unchanged; this only raises the ceiling so it bites far less
often. Add the var to the compose environment whitelist and the production
env example so it reaches the container and check-env stays green.
The builder already accepts a germanAtc option that appends the BfArM ATC
URI after the WHO entry. Thread it from the health-record export route: an
explicit germanAtc flag on the selection payload wins, otherwise it derives
from a German-region locale. The WHO coding stays coding[0], byte-identical
and locale-independent, so a WHO-only consumer is unaffected.
Add the optional germanAtc field to the strict export selection schema and
regenerate the OpenAPI contract.
Emit a SNOMED CT coding alongside the existing .text anchor on the
administration dosage. Route maps ORAL to 26643006 (Oral route) and
INJECTION to 34206005 (Subcutaneous route, the form HealthLog injections
take). Site keys on the eight InjectionSite enum values, collapsing to the
three gross body-region concepts (abdomen 818983003, thigh 68367000, upper
arm 40983000); laterality and the abdominal quadrant stay verbatim in the
.text anchor rather than inventing lateralised concepts.
Referencing concept ids in a FHIR instance is not redistributing the
licensed SNOMED distribution, so this is safe to ship. The .text anchor is
unchanged, so a consumer without a SNOMED binding is unaffected.
Reconcile the dose fixture to the real uppercase enum value the live
builder emits (the previous lowercased value never matched production).
Add mapping tests for the five event classes (verdict resolution,
severity grading, the value-pinned-to-1 contract, unknown-codepoint
fallback, and that a continuous measurement never gets a classification),
the awareness-card gating + device-verdict framing + disclaimer presence,
and the events route narrowing + empty-state contract. Extend the enum,
chart-token and Coach-gate drift guards for the new event types.
Add a timeline of the health notifications the user's device produced on
its own, reachable from the Insights overview. The surface reflects the
device's own decision: each row reads "Your device flagged …" and a
permanent disclaimer states this is not a medical assessment by
HealthLog and that HealthLog does not diagnose any condition.
The surface is data-availability-gated — it un-mounts entirely when the
user has no such events, so an account that never triggered one never
sees an empty or alarming card. Copy renders as plain React text
children; no markdown library is involved.
Accept the optional HKCategoryValue codepoint on each batch entry and
persist the resolved rhythm_classification on the stored row. The wire
field is additive and ignored for non-event identifiers, so every
existing caller is byte-for-byte unchanged. Regenerate the OpenAPI
contract.
Add a discrete EVENT row class to the Measurement model for the
device-flagged health notifications a wearable produces on its own —
irregular-rhythm, high/low heart rate, walking-steadiness and
breathing-disturbance alerts.
Following the sleep-stage / glucose-context nullable-context precedent,
this is an additive nullable column on the existing table, not a new
storage paradigm. Five new MeasurementType values carry the event class
and a new rhythm_classification enum column carries the device's own
verdict / severity (migration 0105, with a CHECK that pins the column to
the event types). An event row stores value 1 and the device verdict;
it never participates in trend, rollup, chart or personal-record
analytics.
For the irregular-rhythm class, HealthLog ingests only the
classification RESULT the device's own certified on-device algorithm
already produced. It never ingests a raw ECG waveform, never
re-classifies, and never derives a verdict of its own.
The Apple Health batch ingest maps the five category identifiers, with
the device's HKCategoryValue codepoint resolved to the stored
classification; an unknown codepoint degrades to a fallback verdict
rather than dropping the event.
Wire seven previously-deferred HealthKit quantity identifiers through
the full pipeline — enum, mapping, plausibility range, category, list-UI
metadata, FHIR coding, and the generic metric-status assessment:
CARDIO_RECOVERY heartRateRecoveryOneMinute bpm
WRIST_TEMPERATURE appleSleepingWristTemperature celsius
FALL_COUNT numberOfTimesFallen count
SIX_MINUTE_WALK_DISTANCE sixMinuteWalkTestDistance m
STAIR_ASCENT_SPEED stairAscentSpeed m/s
STAIR_DESCENT_SPEED stairDescentSpeed m/s
BREATHING_DISTURBANCES appleSleepingBreathingDisturbances count
Each value rides raw on the wire (identity conversion). Fall count is
cumulative (daily SUM); the stair speeds drain to a daily mean; the rest
store as latest per-workout / per-night spot readings. Wrist temperature
and breathing disturbances are flagged privacy-sensitive. The category
sleep-apnea and walking-steadiness EVENT identifiers stay deferred — they
are events, not quantities.
Each new metric gains an Insights sub-page on the shared scaffold with the
generic assessment card, localised across all six locales. Cardio fitness
(VO2 max) — ingested since v1.4.23 but assessment-less — gains its own
/insights/cardio-fitness page so it picks up the assessment instead of
riding as a bare chart-row on the pulse page.
Normal-range anchors are cited where defensible (six-minute walk 400-700 m,
ATS guideline + population reference); the rest defer to the user's own
baseline rather than fabricate a band.
Migration 0104 appends the enum values additively (IF NOT EXISTS, forward-only).
Extend POST /api/workouts/batch with an optional per-workout `samples`
array — a route-independent heart-rate series so indoor workouts still
yield a strain-relevant signal. Each entry is `{ t, hr?, speedMs?,
power?, cadence? }`; the array is capped at 30 000 points
(MAX_WORKOUT_HR_SAMPLES), covering a long endurance session sampled at
1 Hz while bounding the largest new workout-side write stream the same
way the 20 000-point route cap bounds the geometry.
Persistence rides the existing route-attachment path: the freshly
written workout id is resolved once (by composite key, or the manual
tuple), then both the route geometry and the HR series attach by FK
with skipDuplicates so a re-submitted batch stays idempotent. A workout
may carry both a GPS route and a canonical HR series, or just one.
GET /api/workouts/{id} returns the series alongside the route. OpenAPI
regenerated.
`samples` keeps first-write-wins/overwrite parity with the workout row
it hangs off: the 1:1 FK plus skipDuplicates means a re-ingest of an
existing workout never duplicates or mutates its series.
Resolve the overlap where the vitals tier and the composite tier both extend
the derived-metric registry, dispatch, query-key factory, i18n bundles and the
OpenAPI contract: every derived metric (vitals baseline, fitness/vascular age,
HRV balance, BMI, sleep score, readiness, coincident-deviation) is now wired and
implemented, the dispatch test asserts the full set, and the locale bundles carry
both the vitals and the score-anatomy/composite strings.
Build the composite tier of the derived-metrics layer on the shared seam:
- Sleep score — a transparent 0–100 composite from sufficiency, efficiency,
consistency, timing and composition sub-scores over the per-stage sleep
rows, reweighting around any sub-score the data cannot support (a legacy
asleep-only night drops composition gracefully rather than fabricating it).
- Wellness/readiness index — extends the health-score null-redistribution
blend with resting-HR, HRV (SDNN), sleep, respiratory-rate and mood
deviation-from-baseline components; returns insufficient below two present
components so it never headlines from one signal.
- Coincident-deviation flag — counts vitals outside their personal band on
the latest day and fires when two or more coincide, listing the
contributing vitals as possible factors, never a cause or a diagnosis.
Each composite cites its standard, carries coverage + confidence +
provenance, and reweights around missing inputs.
Add an FDR-controlled correlation discovery engine behind
GET /api/insights/correlations: it scans a curated behaviour x outcome
matrix, lag-joins each behaviour day to the next day's outcome, runs Pearson
with the exact Student-t p-value, and applies Benjamini-Hochberg control
across every tested pair so only statistically-defensible patterns surface —
each tagged with n, r, p and the adjusted q, framed descriptive not causal.
Add the score-anatomy detail view at /insights/scores/<metric>: a full
score ring, ranked contributor rows each showing its push/pull and weight
share, and the cited-standard provenance explainer — reused by every
composite, mobile-first and accessible.
Regenerate the OpenAPI contract for the new metric values + the correlation
discovery response, and add the i18n keys across all six locales.
Build the Apple-Health-Highlights grid of personal-vital tiles on the
Insights overview, backed by four new pure derived-metric compute
functions over the established seam:
- cardio-fitness band ("Fitness Age" frame) — VO2max placed against the
FRIEND-registry age/sex norm (Kaminsky 2015), surfaced + trended, never
re-derived.
- vascular-age delta — Withings vascular-age vs chronological age, a
relative wellness indicator (Vlachopoulos 2010 PWV framing), no medical
claim.
- HRV (SDNN) balance — reuses the typical-range engine for the band and
places the recent average as balanced / above / below; SDNN never
relabelled RMSSD; cadence-gated.
- BMI from weight + height — exact WHO classification, the fallback when
no device BMI exists.
Each metric carries coverage + confidence + provenance and cites its
standard through the provenance explainer. The dashboard renders one
SparklineDeltaTile per available vital: an absent vital does not render,
a still-building one shows the honest coverage meter rather than a
headline from too little history. Tiles read the generic
/api/insights/derived route through a TanStack Query hook keyed off the
centralised factory.
Regenerates the OpenAPI contract for the two new metric ids and adds the
vitals copy across all six locales.
Thread the reference-range enabler (derived/norms.ts) into the existing
generic assessment path. When lookupNormalRange resolves an age/sex
adjusted band for the metric + profile, the snapshot uses it in place of
the coarse flat registry anchor and tags it normalRangeSource:
age-sex-adjusted; otherwise the flat anchor is kept unchanged. Strictly
additive — a metric with no sharper norm, or a profile missing
demographics, behaves exactly as before.
Generic route mirroring the v1.8.7.1 metric-status precedent:
GET /api/insights/derived?metric=<DERIVED_METRIC_ID>[&type=<vital>].
apiHandler + Zod safeParse on the query, closed registry enum (unknown
id 422s via returnAllZodIssues), cookie-or-Bearer auth, userId narrowed
from the session (never a query field). The profile is read once and
passed into the pure compute function. Returns the flat Derived<T> union
in the standard { data, error, meta } envelope so the native client
decodes one stable shape and combines values across metrics.
Register the query + response schemas (DerivedMetricQuery,
DerivedMetricResponse + DerivedCoverage/Confidence/Provenance) and the
path operation in the OpenAPI registry; regenerate docs/api/openapi.yaml.
Add the route to the insights gate inventory (insightStatus-gated, no
Coach prose).
Route tests cover the 200 flat-envelope shape, session-narrowed userId,
422 on an unknown / missing metric, 401 unauthenticated, and the
insufficient flattening (null value + confidence, populated reason).
Introduce src/lib/insights/derived/ — the shared, compute-once layer for
derived wellness metrics. Core pieces:
- types.ts: the Derived<T> discriminated union (ok carries value +
coverage + confidence + provenance; insufficient carries coverage +
provenance + reason). Client-safe — pure types, no server imports.
- coverage.ts: deriveCoverage() + the buildOk/buildInsufficient terminal
constructors. Confidence blends the history fraction and the
input-presence fraction so it drops monotonically as inputs go missing.
- registry.ts: the closed DERIVED_METRIC_ID enum + per-metric metadata
(inputs, archetype, min-history / min-inputs floors, implemented flag).
- norms.ts: age/sex reference-range tables (VO2max FRIEND registry,
resting-HR + respiratory-rate by age) behind lookupNormalRange().
Age + sex only — no ancestry/region ranges.
- baseline.ts: the flagship engine — computeVitalsBaseline() returns the
personal typical-range band (median +/- k*MAD) for one vital. Center
reads the composable DAY rollup mean; the spread is DAY-native only
(the sd/slope/r2-don't-compose invariant), with a per-type bounded
live-SQL fallback on a coverage miss.
- dispatch.ts: maps a DERIVED_METRIC_ID to its compute function; stubbed
metrics return an insufficient with reason not_implemented.
- index.ts: the append-only public barrel.
Unit tests cover the coverage model, the Derived<T> ok/insufficient
branching, the norms lookup, the baseline ok / insufficient /
coverage-miss-fallback paths + the composed-vs-raw-DAY band parity, and
the dispatch stub guard.
GET /api/medications/{id}/compliance was absent from the OpenAPI document, so
a client generating types from the contract could conflate it with the separate
cadence endpoint (a different shape). Register the route with its exact response
— compliance7/compliance30 summaries, the per-day dailyCompliance grid, and the
two-row complianceDisplay block — documenting that compliance30.totalExpected is
the 30-day denominator and that a per-day glyph is drawn only where due is true.
Handler unchanged; this closes the contract gap.
The v1.9.0 time-range work imported ANALYTICS_RANGES as a value into the
time-range pills and the insights layout-prefs hook from range-delta.ts.
That module also pulls the rollup readers and the Postgres client, so the
value import dragged pg (dns/fs/net/tls) into the browser bundle and broke
the production build with eight "Module not found" errors.
Move the client-safe pieces — the range list, its type, the per-range
window length, and the period-over-period result shapes — into a new
range-shared module that imports nothing server-side. The insights client
components import from there; range-delta.ts re-exports the same names so
the server route and the OpenAPI registry keep their import paths. The
window-composition logic and the rollup/db imports stay server-side.
No runtime behaviour change — a pure module-boundary split.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 75124e76c1e987d8a022fb39d891049340199b38)
The administration set was windowed only to the report period (up to 730
days). A chronic medication dosed several times a day across that window,
multiplied across several medications, can still materialise thousands of
MedicationAdministration resources into a single Bundle — bounded by the
window but unbounded by dose frequency.
Cap the set at the most-recent 1000 acted intakes overall. The omitted
rows are the oldest in the window, so recent adherence is preserved
intact. When the cap trims rows the aggregator records the original and
included counts and the FHIR document narrative discloses the
truncation, so the export is honest about the omitted history rather
than silently dropping it. Cover the cap in the report aggregator and
the narrative note in the bundle builder.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit c6ce7df2bf6efb5e2c9d948d8f189d95d1289758)
The RxCUI field validates against `^\d+$`, which is unbounded — a caller
could submit an arbitrarily long digit string. Add a `.max(20)` ceiling
as defence-in-depth so the column write stays tight; real RxCUIs are at
most a handful of digits. `atcCode` needs no max — its regex already
fixes the length. Regenerate the OpenAPI contract for the new
`maxLength` on both the create and update bodies.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 8b97d35bc375ef3b2e70f938c0d6729a5fa6bccb)
The two stacked abdomen quadrants sit 14 viewBox units apart, yet each
per-dot hit-target was an r=14 transparent circle (Ø=28u), so the
targets overlapped by ~14 units. SVG hit-testing resolves to the
topmost-painted element rather than the nearest centre, so a tap in the
overlap band logged the wrong quadrant — defeating the rotation feature.
Replace the overlapping per-dot hit-circles with a single transparent
overlay that projects the pointer into viewBox space and resolves it to
the nearest site centre (new `nearestSiteAt` helper, constrained to the
effective allowed set). Every pixel now maps to its closest site, so
full-area routing holds without sub-target dead zones, and the abdomen
quadrants can no longer mis-route. Keyboard and assistive-tech users
keep a per-site focusable r=6 circle (non-overlapping at this spacing)
with the Space/Enter handler and aria-label. Add tests asserting a tap
in the former overlap band maps to the nearer quadrant.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit a07988f139b0067e82ccc5ad7e5890e0517fe869)
The on-demand force-warm bounds the comprehensive briefing with a 45 s
timeout and then warms the per-status + generic-metric caches itself. The
timeout could not cancel the underlying generation, so a comprehensive that
resolved after the timeout reached its own per-status eviction and deleted
the rows the warm passes had just written — leaving the user back on a cold
cache.
Thread an AbortSignal into the comprehensive generation and abort it when the
timeout fires; the generation now bails out before its write + evict once the
signal is aborted, so a late resolve can never undo the warm.
Also align the force-warm gating with the route: the route admits the job on
the per-user assessment surface, so warm the per-status + generic-metric
cards whenever that surface is enabled, even when the global briefing switch
is off. Only the comprehensive briefing stays gated on the briefing switch.
Factor the per-status cache-action shape into a single helper so the key is
built in one place rather than hand-assembled across the generators, the
eviction sweep, and the ingest debounce.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 75e0b5a9129893915f7a213ec96253df19341d15)
The per-metric target editor receives a glucose range already projected
into the user's display unit (mmol/L) along with `unit="mmol/L"`, but it
seeded, validated and saved that value verbatim. HealthLog stores glucose
canonically in mg/dL, so a user on the mmol/L preference either had a
valid target (e.g. 3.9–5.5 mmol/L) rejected by the 40–400 mg/dL bounds,
or — when an override already existed — saw a mg/dL number rendered as if
it were mmol/L and wrote it straight back.
Add `mmolToMgdl` / `toCanonicalMgdl` (the inverse of `convertGlucose`) and
teach the edit sheet to treat the display unit at its boundary: seed the
persisted mg/dL override into the display unit, validate against bounds
expressed in the display unit, and convert the typed value back to
canonical mg/dL before the PUT. A no-op for every non-glucose metric and
for users on the mg/dL preference.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 0cc0361058a85f32d7135e5f2fd425c98f62d885)
Replace the stick-figure outline with a traced front-of-body silhouette,
still an inline SVG so it inherits the theme tokens (currentColor + a
soft currentColor wash) and tints correctly across light/dark and the
zinc/Dracula palettes with no raster asset.
Recalibrate SITE_COORDS onto the new 100x200 viewBox (aspect ≈0.5) using
the iOS client's hands-on fractional coordinates, so both apps land their
dots on the same anatomy. The coordinates double as the Euclidean basis
for the rotation recommender, so picker and recommendation stay in sync.
Dot states: selected (filled), recommended-next (dashed primary ring),
and a new last-used solid ring; hit targets are r=14 on the viewBox
(≈45 CSS px at the rendered scale), clearing the 44px floor. Props,
callbacks, the screen-left=="links" convention and the v1.8.5 site→enum
bridge are unchanged — graphic and coordinates only.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 46125c3bbec5573910f41a319ae717d37f39c228)
The standalone /targets (Zielwerte) page is retired. Target editing
moved inline onto the Insights metric pages in v1.8.6 — each metric's
reference panel mounts the editor and writes the same
PUT /api/user/thresholds, reading the same /api/insights/targets
payload. The page carried a deprecation notice and had already dropped
out of the navigation, so removing it is a UI-only change: no data
model, API route, or inline editor moves.
Remove the page and its tests, the components reachable only from it
(target card, per-card coach button, summary header, target prompt /
scope helpers, coach-handoff hook), the now-dead /zielwerte→/targets
proxy redirect, and the orphaned targets.* i18n keys across all six
locales. Repoint the handful of code comments that pointed readers at
the page to the inline Insights panel, and prune the two coach
gate-inventory allowlists plus the queryKey factory guard root that
named the removed files.
The reference panel keeps the range bar, consistency strip, status
pill, edit sheet, and source-link helpers — those are the live editing
surface now.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 7f842c5620087127e980fe22a56133135b7c0531)
The generic metric-status route set the OpenAPI pattern for the assessment
cards; retrofit the six specialised routes onto it. Add registry entries
for /api/insights/{blood-pressure,pulse,weight,bmi,mood,medication-compliance}-status
mirroring the metric-status envelope (hasProvider/text/cached/updatedAt plus
the preparing + revalidating flags). Medication-compliance carries its richer
summary + per-medication note array as its own schema. Regenerate the YAML.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 91887a13b30e8978e91f615604163331bdc54950)
Align the server's `Coverage` emission with the iOS exporter: a
Coverage is now emitted whenever ANY payor signal is present, including
a bare KVNR with no insurer name or IKNR. The KVNR-only case carries the
`subscriberId` with no contained payor Organization; the insurer-known
case is unchanged. A bundle with no payor signal at all still omits
Coverage entirely.
Also add a top-level `Composition.text` narrative (reusing the same
escaped summary the section narrative carries) so a strict
US-Core-style validator sees the document-level narrative it expects.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 22c5ed7fbe02993307c3f04cd0498d199c79cf43)
Emit one `MedicationAdministration` per intake the user actually
actioned — `completed` for a taken dose (`effectiveDateTime = takenAt`),
`not-done` for an explicit skip (`effectiveDateTime = scheduledFor`).
Pending / missed slots and soft-deleted tombstones are never exported,
so the record only asserts administrations that happened.
Each administration reuses the statement's ATC/RxNorm + text concept,
so it is self-describing without a cross-resource reference. A `dosage`
is emitted only when a structured dose Quantity is available (resolved
from the dose-change history in effect at the administration instant) —
a dosage carrying only `.text` would violate the R4 dose-or-rate
invariant. Route + injection site ride along as text-only concepts. The
administrations are referenced from the existing Medications section, so
the document's two-section graph is preserved.
`FhirMedicationAdministration` is new; `FhirDosage` gains `dose`,
`route`, and `site`. The source rows come from the same aggregator the
PDF consumes, keeping FHIR and PDF aligned by construction.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit dd22512f56b7b6dfa42386bbc88d1ced1d71255d)
The health-record export's `MedicationStatement.medicationCodeableConcept`
gains additive `coding[]` entries when the medication carries a stored
code: ATC primary (`http://www.whocc.no/atc`), RxNorm secondary
(`http://www.nlm.nih.gov/research/umls/rxnorm`). The free-text name
stays the `.text` anchor and the concept collapses to exactly the
prior text-only shape when no code is present — the export never
machine-guesses a code, only emits what the user stored.
The aggregator now carries `atcCode` / `rxNormCode` on `medications[]`
and assembles the acted-intake source rows
(`medicationAdministrations`) the administration builder consumes, so
the FHIR export keeps describing the same numbers as the PDF by
construction.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
(cherry picked from commit 740c86b3a830efa7e76d69b29ae376addeee6811)
Marc-André Bombeck