The medication list fired one compliance request per card every 30
seconds, and each request scanned the medication's full intake history
and expanded the recurrence calendar five to six times. The endpoint now
mints bands once per request, serves the sub-windows from that single
ledger, bounds the event read to a year of selected columns and sits
behind a write-invalidated 15-minute server cache; the cards poll at
five minutes. The dashboard drops two redundant checklist queries by
reading counts from the snapshot, the BMI chart derives from the weight
series instead of refetching it, the detail page no longer serialises
behind the auth probe and seeds its query from the list row. Expensive
analytics reads gain a shared per-user rate limit, and the service
worker stops serving cross-version shells, enables navigation preload
and trims caches in one pass.
- Phase education card no longer carries its own log-today button (the
top-level log entry covers it).
- Predicted-period calendar days render as a soft dashed fill instead of an
underline, so they read as period rather than an unfinished dash.
- The derived batch route now attaches the deterministic per-score assessment
for the five scores so the dashboard grid (and iOS) paints the explanation
without a second per-id round-trip; guarded so it never fails the grid.
Add an additive, non-breaking assessment field to GET /api/insights/derived:
{ text, source, updatedAt } | null, keyed to the requested metric id for the
five per-score ids (READINESS, SLEEP_SCORE, RECOVERY_SCORE, STRAIN_SCORE,
STRESS_SCORE). The field is null when the metric is not one of those or when
its status is not "ok". A deterministic text always fills it — composed from
the score's own contributors, so provider-less accounts and the demo are never
empty — and warmer provider prose overrides it once cached, warmed out of band
so the GET never blocks on a model round-trip. de/en, following the v1.12.12
deterministic-narrative model. The batch grid read returns assessment: null;
the detail sheets use the single-metric route.
Introduce a shared buildMetricSignal() helper: a token-lean, signal-rich
descriptor (current, own baseline, signed delta, spread, normal-swing verdict,
normal-range placement, contributors) computed server-side so the model states
the comparison instead of re-deriving it from raw buckets. Thread it into the
generic per-metric assessment snapshot and lead the base prompt from it. Add a
PROMPT_VERSION constant to the base system prompt so prompt changes are
traceable.
Regenerate docs/api/openapi.yaml.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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.
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.
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).
Marc-André Bombeck