Add averagePerNight to the SleepRhythmResource OpenAPI schema so the new
average-per-night card's field is part of the iOS-consumed contract (the
endpoint already returned it; the Zod source had not been updated, so the
in-sync check could not catch the omission).
Tag each vital return with whether it deviated in the illness-adverse
direction and tally only adverse returns when naming the recovery driver,
so a neutral move (e.g. weight drift) can no longer be surfaced as the
vital someone recovered ahead of.
The cross-episode summary already computes per-vital physiological returns
but the card surfaced only one bare line. Thread the dominant returning
vital through the aggregate and the DTO so the copy reads 'you tend to feel
better before your resting heart rate settles' instead of a context-free
gap figure.
The aggregate tallies which vital produced a real return across the
episodes that qualified for the typical-gap median and reports the most
frequent one (deterministic alphabetical tiebreak); the driver is named
only when a gap actually clears the magnitude gate. Zero new compute — the
returns were already in hand. Adds the localized copy in all six locales.
The cross-episode typical-gap median counts an episode toward its
qualifying-days floor via the per-episode coverage `historyDays`, which
counts a day if ANY banded vital has a reading. A WEIGHT-only episode (no
illness-adverse direction) could therefore clear the floor and feed the
median despite carrying no illness-relevant signal, weakening the honest-
sample claim.
Compute a distinct-adverse-day count in the engine — days with at least
one notable reading in the metric's adverse direction — and feed that as
the qualifying-days floor instead. Reuses the engine's single adverse-
direction predicate (now exported as `isAdverseDeviation`); a neutral-
direction vital never counts a day. The insufficient arm contributes 0,
which is correct since its gap is null and never reaches the median.
The illness list load triggered the cross-episode correlation fan-out on
every mount, so the page waited on up to 24 per-episode reads before it
painted. Move that work behind an explicit opt-in: the insights endpoint
takes an includeRecoveryGap query param (default off), the list reads the
count breakdown on a single fast query, and the recovery gap is computed
only when the viewer opens the Analyse expansion.
Tighten the typical-gap gate against coincidental data. A gap now counts
only from an episode that cleared a per-episode measurement floor
(MIN_GAP_MEASUREMENT_DAYS), at least MIN_EPISODES_FOR_TYPICAL_GAP such
episodes must qualify, and the median magnitude must reach
MIN_TYPICAL_GAP_MAGNITUDE_DAYS — a 0/+-1-day gap is the coincidental
baseline and is withheld as noise.
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.
The cross-episode insights route looped up to 24 episodes, each running a
sequential 10-vital scan with two serial reads per vital — ~500 serialised
round-trips on a year of episodes, starving the shared Prisma pool.
Pair the baseline + episode-window reads, fan the per-vital scan out under a
p-limit(4) cap, and run the per-episode correlations concurrently under the
same discipline. Series order and the gated outputs are unchanged.
Add the retrospective correlation engine for illness episodes: a pre-onset
anomaly scan (deviation in robust SDs from the user's own median±MAD
baseline), the nadir / what-dropped across the active span, and the
recovery-gap (physiological return-to-baseline vs the felt-better marker).
CHRONIC_ONGOING is excluded from the gap. Every derived number is gated by
the shared coverage/confidence model — a thin signal asserts nothing rather
than showing a wrong figure.
The baseline window ends strictly before the pre-onset lookback, so an
episode's own days can never contaminate the baseline it is measured against.
Reads are DAY-native (rollup tier with a live-SQL fallback), reusing the
baseline engine's read path so the rollup-vs-live parity carries over.
Surfaces:
- GET /api/illness/episodes/{id}/correlation — per-episode findings (gated
Derived wire shape; red-flag escalation for sustained low SpO2 / fever).
- GET /api/illness/insights — cross-episode retrospective ("sick N times ·
typical recovery gap X days"), with the typical-gap withheld below the
min-sample floor. Retrospective only — never a predictor or diagnoser.
Reliability battery: golden-fixture recovery-gap math, rollup-vs-live parity,
baseline-contamination guard, thin-data / coverage-gate, red-flag escalation.
Born-gated + owner-scoped; server-authoritative DTO (iOS renders). i18n ×6.
Marc-André Bombeck