Every POST /api/insights/chat called extractFeatures(userId, false),
which ran prisma.measurement.findMany({ where: { userId } }) with no
date filter — fetching every measurement the user had ever recorded.
For power users with multi-year Withings imports that's tens of
thousands of rows on every Coach turn.
Add an optional sinceDays bound to extractFeatures (default unchanged
= full history; analytics dashboard + insights/generate keep their
existing behaviour) and have the Coach snapshot pass sinceDays: 90.
The Coach already only narrates the last7 / last30 / last90 windows,
so the 90-day floor preserves every metric the snapshot surfaces.
Fixes Senior-HIGH-3.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The BD-Zielbereich tile rendered 0% for users whose readings sat below
the ESH 2023 narrow goal band (Sys 120-129 / Dia 70-79 for under-65).
Marc's actual production data has many readings like 117/79 — textbook
normotensive, well-controlled — that v1.4.15 A4 still counted as OUT
of target because sys < sysLow (120). 5 of 10 of his last-30-day pairs
should be in-target by clinical interpretation; v1.4.15 reported 0.
Root cause: "in target" was defined as the narrow goal band, which is
the ESH treatment goal for hypertensive patients ON therapy — NOT the
desirable range for a normotensive HealthLog user. Users (and the
dashboard label) intuitively mean "BP is well-controlled = at or below
the ceiling, not implausibly hypotensive".
Fix: change semantics from `sysLow <= sys <= sysHigh && diaLow <= dia <=
diaHigh` to `90 <= sys <= sysHigh && 50 <= dia <= diaHigh`. The 90/50
floors guard against counting symptomatic hypotension as "good control".
Centralised the check in `isBpReadingInTarget()` so the 6 historical
call sites (analytics route, blood-pressure-status, features,
general-status, insights/cards, insights/comprehensive, insights/targets)
share one definition — pre-fix they had 5 independent inline copies of
the narrow-band formula, easy to drift on a future refactor.
Tests:
- 6 new unit tests pin the new ceiling+floor semantics including Marc's
exact production fixture (10 paired readings -> 50% under v1.4.16,
was 0% under v1.4.15).
- New `tests/integration/bp-in-target.test.ts` seeds Postgres
testcontainer with Marc's reading shape + null-tolerance + hypotension
edge cases.
Cache invalidation already correct: `measurementDependentKeys` includes
`analytics()` so adding a BP measurement invalidates the tile's
TanStack Query cache.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Two N+1 patterns the v1.4 discovery audit caught — the same shape v1.3
fixed in /api/insights/comprehensive but in adjacent code paths:
1. **`extractFeatures` (used by every AI-insight route)** issued one
`prisma.medicationIntakeEvent.findMany` per active medication,
in-loop. Replaced with a single windowed query
(`medicationId IN (...)` + `scheduledFor >= 90 days`) and an
in-memory Map group, mirroring the V3 fix in `/api/insights/
comprehensive`. Latency now scales with total recent intakes, not
`medications × intakes-per-medication`. The 90-day cutoff matches
the longest window `calculateCompliance` consults.
2. **`/api/insights/targets`** issued one `prisma.measurement.findFirst`
per `MeasurementType` (×~10) to fetch each type's most recent
value. Replaced with a single `findMany({ distinct: ["type"],
orderBy: { measuredAt: "desc" } })`. One round-trip instead of N.
Behaviour identical, just fewer round-trips. Tests stay at 371/371.
Note: the eager Recharts import in `app/insights/page.tsx` (the audit
also flagged it as a bundle bloat that neutralises the existing
`dynamic()` wrappers) is its own refactor — every ScatterChart usage
inside the page needs to be lifted into its own component before
dynamic-loading helps. Tracked for a follow-up perf PR so this one
stays scoped to query-side wins.
Co-authored-by: Marc-André Bombeck <noreply@anthropic.com>
- Fix pctInTarget to use paired-reading logic (both sys AND dia must be in range simultaneously)
- Add sdSys30/sdDia30 (BP standard deviation) and pulsePressure30 (arterial stiffness marker)
- Add mood scale descriptor for AI context
- Extend medication data with compliance90, 30-day streak window, and category field
- Rewrite base system prompt: personal advisor tone, second person, positive-first, "One Thing" pattern
- Add conditional correlation instructions to all domain prompts (only mention when |r| > 0.4)
- Enrich InsightResult schema with insightType, classificationLabel, primaryRecommendation
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add 90-day averages, all-time stats, mood data, cross-metric Pearson correlations,
historical comparisons (7d vs previous 30d baseline), and age/gender context to the
AI feature extraction. Update all prompts with correlation analysis instructions,
clinical significance thresholds, and temporal layer comparisons.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
HealthLog — personal health-tracking PWA with weight, blood pressure,
pulse, mood tracking, medication compliance, Withings integration,
doctor report PDF export, and Dracula-themed UI.
