The doctor report's pulse average and day points, the correlation channels,
the illness correlation, the personal baseline and the Coach's tiered context
each folded pulse readings into a day by plain mean. They now take the day as
the mean of its local hours' means and a window as the mean of its days, in
the zone each reader buckets by. The day aggregates carry the weighted sums for
an hourly-mean type, so every caller reads one day value. Every other type is
unchanged.
Adds a neutral sleep observation alongside the per-episode recovery gap: the
user's usual asleep minutes over their well baseline vs the mean over the
episode window, narrated as 'you slept more/less than usual' when the two
diverge. It is an observation only — never a recovery claim, never a return
track, and never part of the headline recovery-gap number.
Per-night asleep totals come from the canonical night reconstruction over the
baseline and episode windows, so a multi-source night (two writers for one
sleep) is counted once, matching every other sleep surface. The observation
withholds entirely on thin data — too few baseline or episode nights, or a
delta below a 30-minute floor — so day-to-day jitter is never narrated as a
finding.
Additive optional DTO field; no schema, no migration. Two locale keys across
the six bundles. Regenerate the OpenAPI contract from the Zod source.
The recovery-gap engine reasoned only over passive vitals and ignored
the journal's own per-day symptom series. Add the functional-impact
(symptom-burden) return track: read functionalImpact per episode day
(falling back to the strongest linked symptom severity) and treat it as
one more return against the known-constant baseline (healthy = 0).
The symptom track needs none of the MAD-band / contamination machinery
the passive vitals carry — the band is the constant 0 — so it is more
reliable to fold in than any passive vital. It is adverse by
construction, so it contributes to adverseCoverageDays and the headline
gap median, giving the qualifying-days floor a genuinely
illness-relevant contributor where a weight-only episode had none.
Stability is logged-days-only: a sparse journal that logs impact-0 once
and stops withholds the return rather than fabricating an all-clear from
the absence of further logs. gapDriverType names the dominant return
track, with the symptom curve winning ties as the most illness-specific
signal.
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.
Anchor the physiological-return search after the first notable deviation so
an early in-band run-up can no longer be reported as a return before the
vital ever deviated (the spurious-negative-gap bug). Decouple the red-flag
escalation from the baseline-band loop: it now scans the raw episode days for
SpO2 and temperature against absolute clinical floors, so a rock-steady
(MAD=0) vital still escalates a low SpO2 or sustained fever. Union the day-log
feverC series into the fever flag and prefer per-day max so an evening spike
is not masked by the daily mean. Key every per-day series in the user's
timezone (rollup buckets and the raw fallback) so the vital series lines up
with the tz-keyed onset and felt-better markers instead of an off-by-one for
non-UTC accounts.
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