Settings → Integrations fired five status round-trips on every mount —
the consolidated /api/integrations/status alongside the four per-provider
/api/<provider>/status queries. Extend the consolidated endpoint to carry
every field the four cards render (Withings activity scope, WHOOP/Fitbit
backfill state, moodLog webhook secret + entry count) and drive all four
cards off the single envelope. The legacy per-provider routes stay for the
iOS/test callers; the web cards no longer hit them.
Mood-insights cache was a plain 60 s TTL that was hard-evicted on every
mood write, so an active logger re-paid the multi-second cold compute on
every entry. Add stale-while-revalidate to ServerCache (wrapSwr / cachedSwr
+ a markStaleByPrefix that collapses the fresh TTL without dropping the
value), give the moodInsights bucket a 10-minute stale window, route the
read through cachedSwr, and switch the mood-write invalidation from a hard
evict to a mark-stale so the prior aggregate serves immediately while a
single background recompute warms a fresh one.
Defer the eager Recharts on the mood-insights surface. The trajectory
forecast card pulled Recharts into the initial chunk of every
trajectory-eligible metric page though the main chart is already deferred;
split its fan band into trajectory-fan.tsx behind next/dynamic. The three
below-fold mood mini-charts (distribution / weekday / time-of-day) were
static imports under an already-dynamic hero line chart; defer them with
next/dynamic. Each loader paints a skeleton sized to the chart's own band
so the chunk arrives without a layout shift; the charts stay Recharts and
visually identical.
(cherry picked from commit 2b627893ab6b4d7bc457fc18e6e5585b048190e1)
Migration 0121 replaces the MedicationIntakeEvent unique constraint with a
partial unique index `WHERE deleted_at IS NULL`. A slot the user previously
deleted (tombstoned) no longer occupies the unique slot, so a re-take
re-creates the row cleanly instead of P2002-ing against the tombstone and
500-ing. The migration dedups any pre-existing duplicate live rows first
(keep newest, tombstone the rest) so the unique build can't fail on real
data.
Measurement and Workout deliberately stay full uniques: Measurement's
compound-key writes use prisma.upsert, which Prisma 7 compiles to native
INSERT ... ON CONFLICT and Postgres cannot arbiter against a partial unique
(and consolidate-daily-mean intentionally resurrects a tombstoned canonical
row, which needs the full unique); Workout has no deleted_at column. The
rationale is documented in the migration header and the schema comments.
Migration 0122 adds MoodEntry.externalId plus a NULL-distinct
`@@unique([userId, source, externalId])`. The moodLog webhook, the pull sync,
and the JSON import now carry the source's stable id into externalId and
upsert on the new key when present, so a re-import is idempotent even when
moodLoggedAt re-rounds or re-zones. Native/MANUAL entries keep their NULL
externalId and stay on the legacy (userId, date, moodLoggedAt) path.
Migration 0123 adds AuditLog(userId, action, createdAt desc) and
MoodEntry(userId, moodLoggedAt) composite indexes for the status-cache and
mood-insights read paths.
Also corrects the stale "v1.6.0 drops this column" note on
MedicationSchedule.daysOfWeek (the column is still dual-written and read by
live paths, so it is retained) and documents the UTC-only timezone storage
invariant in a schema header comment.
Integration tests cover the intake re-take after delete (no resurrection /
no 500) and mood re-import idempotency (with and without an external id) on
real Postgres.
(cherry picked from commit 9a6723f469bdec063a99cd08df132e07ec3c95a5)
Close the launch-blocking gap where the ConsentReceipt infrastructure was
built but never enforced as a precondition: a direct API caller with a valid
token could forward a health snapshot to a server-managed external LLM with no
receipt on file. Consent was enforced client-side only.
Add a consent guard (src/lib/ai/consent-guard.ts) and call it before the first
external-provider call on the server-managed path. The gate fires only when the
resolved chain could egress via the operator's global key (admin-openai); a
user's own BYOK key (openai/anthropic), their own ChatGPT OAuth account, and
the self-hosted local provider stay ungated — that egress is the user's own act
and the settings flow is its consent. The check fails closed: a BYOK-primary
chain with an admin-openai fallback still requires a receipt, since the runner
may cascade to the operator key. The surface maps to the consent kind (coach ->
ai_coach, insights -> ai_insights_only; master ai_full satisfies either).
- Interactive routes (insights/chat, insights/generate POST) throw
ConsentRequiredError; api-handler renders a 403 with
meta.errorCode = "consent.ai.required", mirroring assistant.disabled.* so
the client can render an inline grant-consent notice.
- Off-request pipelines fail closed quietly: comprehensive generation returns a
typed skipped:no-consent outcome, and the per-metric status family
(runStatusCompletion, gating every status card + the period-narrative warm +
the off-budget Coach memory workers) surfaces the no-key fallback instead of
egressing.
Also rate-limit POST /api/fitbit/sync (the one Fitbit route without a limiter):
a 5/60s baseline plus a tighter 1/hour bucket on the expensive fullSync walk,
keyed by user id, matching the sibling Fitbit routes.
Harden the Fitbit OAuth redirect_uri: assert it is an absolute https origin (or
http on localhost), lands on /api/fitbit/callback, and stays same-origin with
NEXT_PUBLIC_APP_URL — defence-in-depth behind Google's registered-URI check so
a Host-coerced or misconfigured app URL cannot redirect the authorization code
off-origin.
(cherry picked from commit 46b5fc2cea1b6e80bee0445bfdacf5790442c67d)
Harden the native auth-token surface against four confirmed findings.
- /api/auth/logout was a no-op for a bearer credential: destroySession only
clears the cookie, leaving an Authorization: Bearer hlk_ token live until
expiry. When the request carries a bearer, also flip the matching
ApiToken.revoked and revoke its paired refresh-token sibling. Cookie path
unchanged.
- A browser spoofing X-Client-Type: native was handed a 60-day refresh token
in the JSON body. Gate refresh-token issuance on a new
isCookielessNativeCaller check (no Mozilla UA, no inbound session cookie),
so the secret reaches genuine cookie-less native callers only and never
alongside a browser session. The iOS native path is unaffected; a spoofing
browser falls back to the short-lived access token with no refresh.
- Refresh-reuse revoke trusted the stored row's deviceId, so a stolen token
replayed under a fabricated X-Device-Id confined the revoke to the
attacker's own id and left the victim's family live. On a present-but-
mismatched deviceId, escalate to the user-wide family revoke (a real device
never changes its id mid-family). The matching-id and null-id cases keep
their existing scope.
- Tighten the auth:refresh rate limit from 60/15min to 10/15min, aligning the
high-value rotation endpoint with the passkey-verify tier.
Add coverage for each: logout revokes bearer + sibling, a cookie/Mozilla
caller never receives a refresh token, a device-mismatch replay triggers the
wide revoke, and the cookie-less native path still gets its refresh token.
(cherry picked from commit 14dcdefc5f40855305d8aaf573d073faebc61476)
Snapshot the incremental watermark once per sync cycle and thread the same
lower bound to every resource (metrics, activity, sleep, workout), stamping
lastSyncedAt once at the end. Previously each resource read lastSyncedAt then
stamped now() independently, so the first resource advanced the watermark and
later resources only fetched the last overlap window — silently dropping the
gap after an outage longer than the overlap. The full/backfill path is
unaffected (it passes no lower bound).
Reject an OAuth callback whose token response carries no refresh_token instead
of persisting an empty string. An empty refresh token bricks every future
token refresh; the callback now errors out cleanly so the user re-consents
rather than landing a dead connection.
Model the INTERVAL data types (steps/distance/calories/floors daily totals,
sleep and exercise sessions) on Google Health's interval.start_time /
interval.civil_start_time anchor instead of a sample_time / bare date. The
incremental filter for sleep/exercise previously targeted
sample_time.physical_time, which 400s/empties for interval types and stalls
incremental sync. Daily-summary metrics and spot readings keep their existing
date / sample anchors. Shape mismatches still fail safe (return []/null).
Mark the Google Health (Fitbit & Pixel) settings card as experimental with a
badge and a short note that data coverage is still being verified, in all six
locales.
(cherry picked from commit 3f116802149eebe9144729e2779f7f4405f248f2)
Thread the acting user id through createTagLinks, replaceTagLinks, and
replaceRatedFactorLinks, and assert the target MoodEntry belongs to that
user before writing any link. The check runs against the same client (tx
or singleton) as the write, so it shares one snapshot. Behaviour is
unchanged for the existing POST and bulk paths, where the entry is freshly
created and owned; the guard closes a latent cross-user link hazard for
the planned PATCH mood-edit route. A mismatched or missing entry throws
MoodEntryOwnershipError before any catalog or join touch.
Add IF NOT EXISTS to every ADD COLUMN in migration 0119 so a clean replay
is idempotent, matching the 0117 convention.
(cherry picked from commit 1bf983f6c2c5e44796c99983d57c1b1d90cd7099)
Extend the mood-relations surface from mood to a health metric. For each
structured mood tag present on enough days, compare a metric's value on
tag-present vs tag-absent days: active energy on workout days (same day),
sleep length on nights tagged sleep (same day), and next-day recovery
after a tag like alcohol or food (D to D+1 lag). The comparison reuses the
existing statistics engine wholesale — the Welch two-sample t-test, the
per-group day floors, the confidence band, and the Benjamini-Hochberg FDR
control already used by the influence and discovery boards — so no new
statistics code lands. Only pairs that clear p < 0.05 and the FDR control
surface, ranked by adjusted q then absolute delta and capped at eight rows.
The result rides on GET /api/mood/insights as a new additive
`tagMetricCrosstab` field and renders as a confidence-gated, observational
card on the mood insights page, framed as an association in your own data
rather than a cause. The endpoint is server-rendered and not in the OpenAPI
contract, so no contract change is required.
Deprecate the standalone moodLog integration. Mood is now tracked fully
inside HealthLog through entries, structured tags, and rated factors, so
the external webhook and reverse-sync bridge no longer add anything. The
webhook route, the push and pull helpers, and the validation schemas carry
an @deprecated note pointing at the native path; the surface stays
functional this release and is slated for removal in a future major. The
settings card shows a deprecation hint, localised across all six locales.
Place a monochrome ghost wrench icon-button immediately to the left of
the dashboard add button, linking to the layout/tile editor at
/settings/dashboard. The button carries an aria-label and matches the
add button's 44 px mobile touch-target floor, shrinking to the icon
footprint on sm+. New customizeDashboard string lands in all six
locales.
Extract the Coach chat surface (header actions, message thread,
composer, provenance rails, settings, mobile trays) into a shared
<CoachConversation> component so the drawer and a new full-page route
render the exact same implementation — no forked chat logic. The drawer
keeps only its <Sheet> chrome (close button + maximize control); the
page supplies a minimize-back-to-drawer control.
The maximize control in the drawer header navigates to /insights/coach
and closes the drawer (aborting any in-flight stream); the page's
minimize control routes back to /insights and reopens the drawer through
the shared launch context. Both surfaces preserve incremental streaming,
collapsible history + provenance, the single composer disclaimer, the
auto-grow composer, refusal / budget handling, and the aiMode gating —
the full page redirects to /insights when the operator flag is off or
the user has opted out.
Lift useResettableValue / nextResettableValue into their own module so
the shared surface seeds its composer from the same controlled-prefill
contract without importing the drawer shell. Register the new route in
the coach feature-flag and per-user-disable gate-site invariants, and
add the maximize / minimize labels across all six locales.
The per-metric pages are the canonical home for each metric's primary
tile, target band, and correlation card. The overview was still
rendering its own correlation row (weight × weekday, mood × pulse,
BP × compliance) — the exact cross-view duplication to kill now that
the Weight and Pulse pages own those cards via MetricCorrelationCard.
Remove the on-overview CorrelationRow (component + test) and reorder the
overview toward the iOS Insights structure: hero (coach + briefing +
prompt chips) → detailed daily briefing → dynamics/alerts (today's
signal + rhythm events) → vitals dashboard → trends → period
retrospective → warm-assessments footer control. The overview carried
no target-tile grid, so nothing to remove there.
Drop the now-dead insights.correlationRow.subtitle key across all six
locales; title and disclaimer stay (the per-metric correlation card
still uses them).
Extend the structured mood taxonomy so a tag can carry a magnitude. A
rated factor is a MoodTag of kind RATED that the user scores per entry;
the score persists on MoodEntryTagLink.rating. Binary tags keep
kind BINARY and a null rating, so every existing row and read path stays
byte-identical.
Migration 0119 is additive: four marker columns on mood_tags (kind,
scale_min, scale_max, inverse), a nullable rating on mood_entry_tag_links,
and a seeded factors category with five MVP factors (work, social, sleep
quality, stress, conflict). Stress and conflict are inverse-scaled
(higher means worse); conflict is a 1..2 Yes/No factor.
Write contract: POST /api/mood-entries and the bulk route accept an
optional ratedFactors: [{ key, rating }] array parallel to the binary
tagKeys. The resolver builds the join rows field-by-field, drops unknown
and non-RATED keys silently, and rejects a rating outside the factor's
own scaleMin..scaleMax (422 on the single-entry path, per-entry skipped
on bulk). Create and list responses surface the persisted factors split
from binary keys so a client hydrates without a refetch. GET
/api/mood/tags now emits kind, scaleMin, scaleMax, and inverse so a
client can render factors versus tags.
This is the ingestion half; analytics over rated factors follow later.
Factor labels ship in all six locales.
Bring the web per-metric Insights detail pages to structural parity with
the canonical metric template: a single top-to-bottom spine, every block
self-suppressing when its data is absent.
New spine (above the chart): header (title + target gear + Coach circle)
→ intro → primary tile → Letzte Messung → stat strip; then the chart,
the range controls + period delta, the per-metric correlation card, and
the Einschätzung assessment last.
- Add the primary tile (headline value + 30-day average + an In-range
bar shown only when the metric carries a per-metric in-target pct).
Blood pressure keeps its richer target panel as its primary tile.
- Add the Letzte Messung card (labeled heading + last-reading date),
reading the last-seen timestamp the slim analytics slice already
carries — no extra fetch.
- Relocate the owning correlation onto its metric page: weight × weekday
on Weight, mood × pulse on Pulse. The card reads the correlations
already on the analytics payload and self-gates below the surfacing
bar; it is now the canonical home for those relationships.
- Move the headline value, 30-day average and in-target share out of the
target reference panel so each figure appears in exactly one place;
the panel stays the band reference (range, status, positional bar,
consistency strip, source). Blood pressure keeps its stitched S/D
30-day average inline.
- Order the Einschätzung last on every page.
Terminology: adopt the canonical labels — rename the mood patterns
surface to "Was auffällt", pluralise the deviation-count card to
"Signale des Tages", and align the settings section labels to
"Über diese App" and "Quellen-Priorität". New In-range /
30-day-average / Letzte Messung strings land in all six locales.
Web charts are unchanged — Recharts and the existing chart tokens
stay; the iOS monochrome chart doctrine is not applied.
Give the Google Health (Fitbit & Pixel) integration the same settings-card
parity WHOOP and Withings already have. It is a BYO-key provider — the user
pastes their own Google OAuth client id/secret, then connects — so the card
mirrors the WHOOP flow rather than the server-brokered Withings one.
- New POST /api/integrations/fitbit/test does a live, rate-limited
(5/60s per user) probe against the Google Health profile endpoint via
the refreshed token from getValidToken, returning { ok, latencyMs,
lastSyncedAt } and the same error-code union WHOOP uses. The Bearer
token and upstream host are scrubbed before any annotation.
- New POST /api/integrations/fitbit/resume clears a parked integration
via resumeIntegrationFromPark, rate-limited to match the test route.
- FitbitCard renders the credentials form, OAuth connect, sync now /
sync all data / test connection / disconnect action row, the parked
resume banner, and a backfill-in-progress line. Status reads from the
existing /api/fitbit/status; the pill/error/parked state comes off the
cross-integration envelope, which now carries a fitbit entry.
- Card strings added under settings.fitbit* across all six locales.
Deepen the structured mood-tag taxonomy and close a bulk-ingest data-loss
gap the iOS client has been blocked on.
Taxonomy (migration 0118, additive + idempotent, mirrors the 0101 seed):
- New `hobbies` category: movies, reading, gaming, music, outdoors.
- Nutrition-detail tags appended to the existing `health` category:
fast_food, no_sweets, big_meal (alongside the original ate_well).
- Lucide icon names seeded per row and registered in the client icon
map; labelKeys added for every new category and tag across all six
locales.
Bulk tagKeys (data-loss fix):
- `POST /api/mood-entries/bulk` previously Zod-stripped `tagKeys`, so
structured taxonomy links were silently dropped on the adopt-on-pair
backfill while the single-entry route persisted them correctly. Add
`tagKeys` to the bulk entry schema and write the `MoodEntryTagLink`
rows per entry via the shared `createTagLinks` helper — unknown keys
are dropped against the catalog, the join insert skips duplicates so a
re-posted batch stays idempotent.
Tests cover the bulk tagKeys round-trip (links created, unknown keys
ignored, over-long arrays rejected at the schema boundary) at the unit
level and against real Postgres.
Extend the Fitbit/Google Health provider with the read path: the
dataPoints.list client half, the metrics-bundle sync, the poll + backfill
jobs, and the connection-management routes. Builds on the existing OAuth +
credentials + token-refresh layer.
- client: paginated `fetchDataPoints` walker over `safeFetch` keyed on
`nextPageToken`, encoding each data type kebab-case in the path and
snake_case in the filter predicate; defensive per-type mappers (finite +
positive guards) for weight, body fat, daily SpO2, daily HRV, daily resting
heart rate, daily respiratory rate, intraday heart rate, sleep-temperature
derivations, and a height profile-seed extractor. `FITBIT_FIELD_MAP` +
`mapping.md` are the source of truth.
- mapping (no new MeasurementType): weight→WEIGHT, body-fat→BODY_FAT,
SpO2→OXYGEN_SATURATION, HRV→HEART_RATE_VARIABILITY (SDNN slot, not
HRV_RMSSD), resting-HR→RESTING_HEART_RATE, respiratory-rate→RESPIRATORY_RATE,
heart-rate→PULSE, sleep-temp→WRIST_TEMPERATURE, height→User.heightCm when
null. Steps/distance/energy/floors/VO2 + sleep + workouts stay for a later
wave.
- sync: `syncUserFitbit` orchestrator with the reauth short-circuit, the
per-data-class 403 soft-skip (the six Restricted bundles grant
independently), the all-soft-skipped success guard, and incremental-vs-full
windows; `upsertFitbitMeasurements` keyed (userId,type,FITBIT,externalId)
with a 24 h overlap for after-the-fact daily re-rolls, recomputing rollups
and invalidating status caches. Google refresh tokens do not rotate, so the
stored refresh token is kept unless a new one is returned.
- jobs: hourly `fitbit-sync` poll (poll-only; Pub/Sub deferred), the
self-converging boot backfill, and the daily OAuth-state sweep — every queue
registered in both `allQueues` and a `boss.work` binding, staggered off the
WHOOP/Withings crons.
- routes: status / sync / disconnect mirroring the WHOOP shape.
Tests cover the mappers, the casing invariant, `fetchDataPoints`, the
orchestrator soft-skip guard, the idempotent upsert, the backfill discovery,
and the queue registration; an integration test pins the upsert idempotency,
the DAY rollup fold, and the Fitbit-vs-Withings per-source no-collapse against
the Postgres testcontainer.
Token-by-token streaming was buffering on the server. The chat route
enqueued every tokenised SSE frame synchronously inside the stream's
start() callback, so the runtime coalesced them into a single network
read and the client painted the full answer at once despite the
per-token render path already wired in use-coach. Make the emit callback
async and yield to the event loop between token frames so each one
flushes as its own chunk; the visible cadence now reads ChatGPT/Claude-
style. Refusal and error paths stay single-frame.
The conversation history was a permanent left column on lg+, eating chat
width on laptops and reading as a takeover behind the narrowed drawer
cap. It now lives behind an always-visible "Conversations" toggle on
every viewport and opens as the left-edge tray on demand; the thread
keeps the full width by default and never loses it on mobile.
The provenance block (source chips plus raw key-values) rendered fully
expanded under every answer and was often taller than the reply. Fold
the chips into the existing collapsed disclosure alongside the key-
values so the whole grounding is one click-to-expand surface, collapsed
by default, with the disclosure's aria-expanded/aria-controls intact.
The clinical-decisions disclaimer rendered both at the bottom of the
thread and in the sources-rail footer. Consolidate to a single line
directly above the composer, always visible on every viewport.
The auto-growing composer (single line growing to a capped multi-line
with internal scroll, Enter-to-send, Shift+Enter-newline) and the
aria-live streaming region are preserved. Plain-text React children
throughout; no new dependencies.
Land the OAuth + credentials half of the Fitbit / Google Health provider,
cloning the WHOOP provider structure and adapting it to the Google identity
flow.
- Client OAuth half (src/lib/fitbit/client.ts): Google authorize-URL builder
(access_type=offline + prompt=consent), authorization-code exchange, token
refresh, and a profile fetch for the connection's external user id. Client
credentials ride in an HTTP Basic-auth header on the token endpoint; the
four launch Restricted read scopes are pinned in FITBIT_OAUTH_SCOPE. All
egress goes through safeFetch.
- Non-rotating refresh tokens: getValidToken refreshes at expiry-minus-five-
minutes, persists the new access token + expiry, and overwrites the stored
refresh token ONLY when the response carries a fresh one — Google keeps the
refresh token stable, unlike WHOOP.
- BYO credentials route (PUT/GET/DELETE /api/fitbit/credentials): per-user
client id/secret stored encrypted on the User columns, built field-by-field
under requireAuth.
- OAuth state + connect + callback routes: a random base64url nonce backed by
a 10-minute FitbitOAuthState ledger row carries the (nonce -> userId)
mapping; the callback validates the cookie/URL state with timingSafeEqual,
consumes the row atomically (replay/expired/cross-user reason tags),
exchanges the code, upserts the encrypted FitbitConnection, clears prior
reauth state, and enqueues the self-converging history backfill.
- Response classifier mirrors WHOOP's HTTP-status buckets; Google signals a
revoked grant with a 401, so there is no invalid_grant body special-case.
Tests cover the authorize URL, Basic-auth token exchange, the no-rotation
refresh branch (token preserved when omitted, overwritten when present), the
classifier status table, and the OAuth-state nonce mint.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Move the time-range pills + period-over-period delta out of the slot between
the stat strip and the chart and render them as a clean row below the chart on
every metric sub-page (the HealthKit scaffold plus weight, BMI, pulse, blood
pressure, sleep). The control owns its own persisted range pref and delta read,
and the chart owns its window via its in-card range tabs, so the relocation is
a pure DOM reorder that leaves the chart range untouched.
Right-align the last-updated timestamp on the period narrative ("Zeitraum im
Überblick") and the daily-briefing footer so the "updated" line matches the
status cards, which already route through the right-aligned footer.
Tighten the sleep average and hypnogram cards — drop the default card gap and
the headline card's extra padding that left tall empty bands — and give the
hypnogram clock-aligned X-axis ticks (whole hours on a 1–3 h step picked from
the night's span) so the time axis reads 23:00 / 01:00 / 03:00 / 05:00 instead
of raw bedtime/wake stamps.
Add a compact density to the short-horizon projection card for the metric
sub-pages: it sheds the min-height floor, shortens the chart, and surfaces how
many more days of tracking are needed before a projection can appear, drawn
from the coverage envelope. The Insights overview keeps the roomier default
geometry for grid symmetry.
- Mood discovery footer no longer pairs a mood-only numerator with the
full behaviour-by-outcome denominator. Reword it to surface the mood
relationships out of all day-to-day pairs the engine tested across
every metric, so the count it reports is honest about its scope.
Update all six locales.
- Rank the better-days board on a comparable scale: standardize the tag
mood-point delta into a Cohen's-d effect (delta over the pooled
with/without mood SD, clamped to [0,1]) so it sits alongside a metric
|r| instead of the old |delta|/2 heuristic. Fall back to |delta|/2 only
when the pooled SD is undefined. The pooled SD is ranking-only and is
stripped before the row enters the snapshot payload; the raw delta and
r the cards show are unchanged.
- Normalize the Withings and Whoop resume buttons to the min-h-11 scale
token, dropping the arbitrary min-h-[44px] spelling.
- Give the API token copy button a 44px tap target on small viewports,
scaling back to the tighter icon size from sm up.
- Drop the dead cached prop from InsightStatusCard and every caller; the
card has carried no cached affordance since the badge was removed.
Apple Health writes an unspecified ASLEEP aggregate alongside the granular
CORE/DEEP/REM partition for the same period. The asleep total already preferred
the granular partition, but the per-night/per-session `stages` map and the
hypnogram `segments` list recorded every stage row unconditionally, so a night
ended up carrying the granular set PLUS its ~equal bare twin — a double-height
green ASLEEP block on the stacked bar and the hypnogram, and a doubled total in
the analytics stage breakdown. Route the `stages` map and the `segments` list
through the same granular-over-bare gate as the asleep total: when a session
carries a granular stage, drop the redundant bare ASLEEP (and stage-less) rows
everywhere. WHOOP never emits a bare ASLEEP, so WHOOP nights are unaffected.
Apply the gate per session, not over the merged night pool, so a granular
overnight no longer strips a same-day bare-only nap's minutes from the night
total. Render the hypnogram per-segment in the stage palette (one ReferenceArea
per segment) instead of a single flat cyan line, and show the breakdown plus
totals footer whenever any per-stage minutes exist — reserving the unavailable
state for a truly empty session — so a legacy stage-summary night still surfaces
its breakdown. Thread the user's source priority into the CSV export's sleep
dedup, and honour offset with a true pre-slice night count on the sleep list.
Mirror the Withings integration actions on the WHOOP card. A new
POST /api/integrations/whoop/test runs a live, rate-limited probe
against the WHOOP basic-profile endpoint, refreshing the token via
getValidToken and classifying HTTP/transport failures into the same
errorCode taxonomy the Withings test route uses. A new
POST /api/integrations/whoop/resume clears a parked integration via
resumeIntegrationFromPark for the whoop provider.
The settings WhoopCard gains the shared Test-connection button, the
parked-state resume banner, and switches the full-sync icon to
RefreshCw for visual parity. Sync-now and sync-all are unchanged.
GET /api/sleep/night?date=YYYY-MM-DD returns one reconstructed night for
the phase-progression view: the canonical source's stage segments (each
with an absolute start/end span), the per-stage breakdown, the asleep/
in-bed/awake totals, the mid-sleep awakenings count, and same-wake-day
naps surfaced separately. Session-clustered, wake-day-keyed, one
canonical source per night so two sources never overlay. date omitted
returns the most recent night. A view over existing per-stage rows — no
schema, no new measurement type. OpenAPI regenerated.
computeSleepStageBreakdown keyed each stage row by the calendar day of
its own measuredAt and never collapsed multi-source, so a night where
sleep began before midnight split across two perNight buckets and a
WHOOP + Apple Health night double-counted every stage. The stacked-bar
therefore disagreed with the dashboard tile and the chart series for the
same dates.
Route it through the canonical reconstructSleepNights: session-cluster
the stages, key by the wake day, collapse to one canonical source, and
apply the granular-over-bare de-dup. The stacked-bar now agrees with the
rest of the sleep surface.
The CSV + JSON export emitted a wall of per-stage sleep minutes with no
night attribution. Collapse SLEEP_DURATION to one record per night by
default — the main session's TIME ASLEEP per the nap convention — with
the stage breakdown, nap count, and awakenings in the notes column so
the single uniform export reads as one night. `granularity=raw` keeps
the per-stage rows for power users. Storage is untouched.
SLEEP_DURATION is stored one row per stage per night, so a plain list
query leaked every stage segment as its own value. Route a sleep list
through the canonical per-night aggregation: one row per wake day
carrying the night's TIME ASLEEP (the main session's asleep total per
the nap convention), with a chevron drilling into that night's stage
segments. The drill-down renders stage labels + per-stage minutes, and
the night row captions same-day naps and mid-sleep awakenings.
API: a `?type=SLEEP_DURATION` list now returns synthetic per-night rows
(value = time asleep in minutes); `?dayKey=` returns the night's stage
segments. Additive — no existing client requested per-stage sleep rows
as a feature. Storage is untouched.
New i18n keys: measurements.sleepNapCaption + sleepAwakeningsCaption in
all six locales.
The confirm-on-dismiss guard walked only `input` / `textarea`, so a user who
changed just the mood `role=radio` selector or was mid-pick in a Radix Select
(measurement type / medication) lost the change on a backdrop dismiss with no
confirm. Treat any `[role=radio][aria-checked=true]` (mood starts unselected,
so a checked radio is a deliberate choice) and any open Select trigger
(`[role=combobox][data-state=open]`) as unsaved input. Keep the date/time-picker
exclusion, and do not flag a closed Select on its default value so a pristine
sheet still dismisses without the prompt.
Apple Health (and some WHOOP shapes) write BOTH an unspecified ASLEEP
aggregate row AND the granular CORE/DEEP/REM breakdown for the same
sleep period. The per-night reconstruction summed both, so a real ~8 h
night surfaced as ~16 h across every sleep surface — the chart showed
~16-18 h points and the target-range 30-day average read ~16.4 h/day.
Prefer the granular partition: when any CORE/DEEP/REM stage is present
for a night/source, count only those; fall back to the bare ASLEEP (or
a stage-less legacy/manual) row only when no granular stage exists.
IN_BED and AWAKE stay excluded; dual-source nights still collapse to one
canonical source via the user's sleep priority ladder. The same rule
applies inside the per-source asleep tiebreak so a source writing both
shapes is not over-weighted.
Align the surfaces that bypassed the shared helper:
- insights/targets: SLEEP_DURATION was averaged as raw per-stage rows
(minutes) and fed into a target band expressed in hours, producing the
bogus 16.4 h/day. Reconstruct per-night time-asleep, convert to hours,
and classify + roll up consistency on the nightly hour totals.
- coach snapshot: route the sleep block through reconstructSleepNights
so the prompt narrates the same nightly numbers (was summing every
stage row, including IN_BED + AWAKE).
- sleep card chart: read /api/measurements/series?kind=sleep (night
reconstruction, hours) instead of the generic measurement
daily-average path, and label the axis in hours instead of minutes.
Add regression fixtures: a night with both a bare ASLEEP row and the
granular breakdown asserts the granular total (no double-count); a
dual-source night with both shapes per source; and a multi-night 30-day
average that lands at ~8 h, not ~16 h.
Two changes that turn the descriptive relations surfaces into a
statistically-gated discovery view on the mood page.
Mood as an outcome: the FDR-controlled all-pairs correlation discovery
engine treated mood only as a behaviour (a lag source). Promote it to an
outcome channel too, so the scan also surfaces "behaviour today → next-day
mood" relations (e.g. more daylight today → better mood tomorrow) alongside
the existing "mood today → next-day outcome" direction. The self-pair is
skipped and Benjamini-Hochberg already controls the larger pair family this
opens up. The discovery route now feeds the shared mood daily-mean series
into both roles.
Surface the discovery slice: the engine was computed but never rendered.
The mood Insights page now shows the mood-involving pairs that survive the
false-discovery correction, each phrased observationally with its paired-day
count, r, and BH q-value, plus the honest "X of N tested" footer. The
surface self-fetches the correlation route and degrades to nothing when the
operator has disabled it. Observational only, with the standing disclaimer.
Per-stage SLEEP_DURATION rows carry the stage segment's END instant, so a
night where the user falls asleep before local midnight spread its stages
across two calendar days. Keying each stage by its own day split one
overnight sleep into two partial nights, and the headline last-night tile
showed only the post-midnight slice.
Reconstruct nights by clustering stage segments into sessions: a new session
starts only when the next segment's start (end minus its minute duration) is
more than three hours after the running session end. A single long stage
block no longer splits a night, a daytime nap stays separable from the
following overnight block, and the gap is measured on the absolute instant so
the clustering is DST-immune. Each session is keyed by the local wake day of
its latest segment end, matching the convention that a sleep session belongs
to the morning you wake up.
Collapse a multi-source night to one canonical source before summing, using
the user's sleep source-priority ladder (default WHOOP > Apple Health >
Withings), so a dual-source account no longer double-counts the total. Sources
are never blended within a night.
Bound the series sleep read to one year even on the 'Alle' range, matching the
slim slice's sleep window, so a multi-year dual-source account does not walk a
six-figure stage-row set into JS.
Add fixtures straddling local midnight, crossing a DST spring-forward, keeping
a nap separable, and collapsing a dual-source night.
SLEEP_DURATION is stored in minutes, one row per sleep stage per night
(IN_BED / AWAKE / ASLEEP / CORE / DEEP / REM) since the HealthKit
category-sample ingest landed. The value is not cumulative, so reading
the single most-recent row surfaced one stage's minutes — never the
night. The dashboard sleep tile and the sleep series therefore showed a
fragment of the night rather than the night.
Add a shared `summarizeSleepNights` helper that groups the per-stage
rows by the wake-day calendar date in the user's timezone and sums the
asleep stages (CORE + DEEP + REM, plus a legacy bare-duration row),
excluding IN_BED and AWAKE per the AASM convention already used by the
sleep score. Wire it into:
- the dashboard summary tile, which now emits last night's time asleep
in hours with an explicit `unit: "h"` and a per-stage breakdown for a
future detail view;
- the sleep series, which now returns one point per night (time asleep
in hours) plus a top-level `unit` for every kind so clients never
infer the unit;
- the slim summaries slice, so the web dashboard tile and the insights
overview read per-night totals (kept in canonical minutes there; the
web tile converts to hours) — strictly more correct than averaging
across stage rows, and parity with the iOS value.
On a cold dashboard load the recent-achievements card briefly showed content
(or its empty state) and then vanished. Two causes:
- The layout-toggle gate read `DEFAULT_DASHBOARD_LAYOUT` while the real layout
was still loading; achievements (and recent workouts) default to visible, so
the card painted during the load window and was retracted once a layout that
hid it arrived. Gate both layout-toggle-only cards on the resolved layout.
- The card itself rendered its empty / content branch before its query settled,
so the "no achievements yet" state flashed ahead of the real unlocks. Render a
skeleton while the query is pending and commit to a content shape only once it
resolves.
The hero strip, daily-briefing card and trends row all read the advisor
payload through `useInsightsAdvisorQuery`, which POSTed `/api/insights/generate`
without `force`. That POST generates inline on a cache miss, pinning the
page-load path on the full provider chain (up to the client's 8 s abort) before
the briefing paints — even though a read-only lift of `User.insightsCachedText`
costs nothing.
Add a read-only GET to the route that serves the cached payload immediately and,
when the cache is stale or missing and a provider is configured, enqueues an
out-of-band warm on the existing `insight-pregenerate` queue. The read mount now
uses the GET; user-initiated regeneration keeps the POST force path. Mirrors the
stale-while-revalidate posture of the per-metric status and period-narrative
reads — no provider call ever sits on a navigation request.
A measurement logged by hand on the iOS app while offline is mirrored
into HealthKit. On pairing a server, adopt-on-pair uploads it as a
MANUAL row while HealthKit background sync independently re-ingests the
same sample as an APPLE_HEALTH row. The two carry different external ids
and sources, so the composite unique index keeps both — doubling the
whole hand-logged history on first pair.
Collapse the pair at ingest: an incoming MANUAL or APPLE_HEALTH row is
dropped as a duplicate when a same-reading row of the opposite source
already exists (same type and value, measuredAt within two seconds).
The match is scoped to that one cross-source pair, so same-source rows
and rows from server-owned sources keep their existing contracts, and
two genuinely distinct readings at the same minute never collapse.
stats:* cumulative rows stay on their per-day overwrite lane.
The collapsed copy returns status "duplicate" with reason
"cross_source_merge" so the client cursor advances unchanged; no
schema, migration, or OpenAPI change.
A freshly-opened quick-entry sheet prefills its datetime-local field with
the current time, so the dismiss-time dirty check read every pristine
sheet as unsaved and always raised the discard confirm. Exclude
date/time picker types from the scan; typed text and notes still count.
The tile-strip skeleton and per-tile Suspense fallback reserved only 6rem,
shorter than a populated TrendCard (~8rem), so the strip grew when data
landed. Bump both to 8rem and mirror the card's overflow-hidden chrome on
the fallback to keep first-paint layout shift at zero.
An accidental overlay tap, Escape, or mobile swipe-down on a quick-entry
sheet silently dropped any typed measurement, mood, or intake. Detect
unsaved input at dismiss time and ask before closing; an explicit Cancel
or a successful save still closes straight away.
The six `next/dynamic` loaders on the insights overview each rendered a
bespoke `<div className="… h-[Xrem] animate-pulse …" />` with a guessed
fixed height. Those heights pinned each placeholder taller or shorter than
the resolved block, so the page shifted as each chunk landed. Route every
loader through one shared `BlockSkeleton` built on the `Skeleton` primitive
(which already honours reduced motion) and hold the row open with a
`min-h` floor rather than a hard-coded pixel guess, removing the
resolve-time layout shift. Decorative placeholders for the cards that can
un-mount stay `aria-hidden`.
Anchor the warm-assessments control too: it floated right-aligned with no
label, reading as a context-less affordance. Pair it with a left-aligned
caption that explains the nightly-refresh model so the button has a home.
The bare centred spinner reserved a 32-unit-tall box that the resolved
card grid then displaced, jumping the layout. Render a grid of card
skeletons built on the real Card shell + shared Skeleton primitive so the
loading state matches the loaded footprint.
Add the GDPR/trust surface for the durable Coach facts: GET lists the
caller's active facts decrypted, DELETE /[id] soft-deletes one, and a
bulk DELETE clears all — every verb apiHandler + requireAuth +
requireAssistantSurface("coach") + ownership-scoped, with an unknown or
cross-user id collapsing to an idempotent no-op that never leaks
existence. Registered in the OpenAPI contract.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
fetchConversationWithMessages now returns the decrypted rolling summary
(fail-closed → null), and buildHistoryWindow substitutes it for the dead
placeholder so a long conversation keeps memory of its elided turns.
Once a conversation grows past the turn cap the chat turn fires a
fire-and-forget coach-memory-refresh so the next long turn is fresh,
without adding a provider round-trip to the interactive reply.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Complete the source-aware rollup read path: the slim summaries slice
(rollup + live), the comprehensive aggregator (both paths, including the
dailyByType correlation feed), and the /api/measurements route (rollup
read + the live date_trunc fallback) now resolve overlapping sources to
the source-priority ladder's canonical reading per (type, day) before
aggregating. A dual-source vital (e.g. WHOOP + Apple Watch resting heart
rate) surfaces one canonical series instead of a blend or a doubled
count; cumulative metrics keep summing per canonical source.
The collapse runs in SQL where the aggregate must stay a single
round-trip (buildSourceRankCase emits a per-user ladder-rank CASE;
canonicalMeasurementsFrom restricts a live read to canonical-source rows)
and in application code (collapseRollupRowsBySource) for the row readers,
both driven by the same resolved ladders so live and rollup agree.
Also widens the enum-literal SQL whitelist to accept digits so VO2_MAX
no longer throws on the typed write-hook recompute or the rank CASE.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The capabilities share descriptor exposed scopeable FHIR resourceTypes, but no
/api/fhir/* route honours a share token — those routes require an authenticated
fhir:read Bearer. The share serves the rendered record view only. Drop the
unrouted resourceTypes from the advertised share scope and add an explicit
fhirApi:false flag so an integrator knows the share to FHIR face is not live.
Fill the WHOOP route set beside the OAuth connect/callback: status reports
connection + token expiry + backfill progress, disconnect revokes the stored
tokens and parks the integration, credentials saves/clears the per-user BYO
client id/secret encrypted at rest, sync triggers a manual incremental or full
pull. Add a WHOOP card to Settings -> Integrations mirroring the Withings card
(BYO-keys form, connect/disconnect, status pill, last-sync, backfill notice)
and surface whoop rows in the combined integrations-status envelope so the pill
reflects real failure state. WHOOP lives under the existing integrations
section -- no new slug.
Add a single canonical FHIR_REST_RESOURCE_TYPES catalogue (plus the
$everything operation and honoured search params) to fhir/rest.ts; the
metadata CapabilityStatement and the share-link resource-type enum now
derive from it so the advertised set can never drift from what is routed.
Extend GET /api/meta/capabilities with the FHIR REST descriptor
(restBaseUrl, readScope, resourceTypes, operations, searchParams) and a
clinician-share descriptor (supported, maxDays, resourceTypes, scopeable
sections) — every list sourced from its canonical registry, guarded by
the existing drift assertions. Grow the OpenAPI CapabilitiesResponse to
match.
Fill the clinician test-matrix gap: assert the clinician view never
requests a KVNR / identifier opt-in from the aggregator (default-OFF by
construction) and resolves a rolling window without reaching data older
than the frozen start.
Add a short-horizon OLS projection over the DAY-native per-day mean
series, extending the existing trendSlope. The fit, residual standard
error and prediction interval are computed at DAY granularity only — the
rollup invariant forbids composing a slope/sd from WEEK/MONTH buckets.
The projection is gated on fit quality (R squared), in-window history and
staleness: below any floor the engine returns insufficient rather than a
weak line, so noise is never extrapolated. The prediction-interval band
widens with the horizon distance from the data centre, so the fan
visibly communicates uncertainty.
Register TRAJECTORY in the derived registry and dispatch (additive,
iOS-forward-compatible; the capabilities endpoint and drift-guard pick it
up automatically). Surface it on the weight detail page as a forecast
band beneath the chart, labelled a projection with the cited method and
a conditional, range-only headline — never a prediction or a dated
event. i18n across all six locales.
Connect mints the state nonce into the WhoopOAuthState ledger and redirects
to the WHOOP authorize page; callback verifies the nonce (atomic
delete-first consume, four distinguished reason tags), exchanges the code,
fetches the WHOOP profile for the user id, persists the encrypted
WhoopConnection, and enqueues the self-converging history backfill.
The webhook handler rate-limits per source first, verifies the
WHOOP_WEBHOOK_SECRET path segment, then verifies the HMAC-SHA256 body
signature over the raw bytes (timestamp + body, timingSafeEqual, stale
timestamp reject) before any work. Valid *.updated enqueues the matching
per-resource sync; *.deleted soft-deletes (workouts hard-delete, no
soft-delete column). Unknown users return 200 to stop retries.
CSP gates api.prod.whoop.com to the WHOOP settings surface + /api/whoop/*;
the webhook path joins the public-path allowlist and the path-secret redact
registry. Env wiring adds WHOOP_WEBHOOK_SECRET + WHOOP_REDIRECT_URI to the
compose whitelist and .env.production.example.
Add a Sharing section under Settings (between API and Export) where the owner
creates a read-only clinician share link, sees their active and inactive
links, and revokes one. Create wires to the C4 lifecycle API: it sends the
label, a rolling history window, an expiry (capped at 90 days, validated
before the round trip), an optional scoped FHIR-API toggle, and the FHIR
resource types. The raw token is revealed exactly once on create as a
copy-able `/c/<token>` URL; the list only ever carries the server's safe
projection (no token, since only its hash is stored). Revoke confirms through
an alert dialog and invalidates the list.
RSC page mounts a client island; reads unwrap the envelope and key off the
centralised query factory. New `settings.sharing` / `settings.sections.sharing`
strings land in all six locales.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add a calm "your week / month in review" summary to the Insights
overview, generated from the period-narrative context (deltas, personal
bands, FDR-controlled associations, coincident days).
- New insight_narratives table (migration 0113): one durable row per
(user, period, locale); generated prose AES-256-GCM at rest following
the coach-message precedent; labels-only provenance stays plaintext.
- generatePeriodNarrative feeds the context into the provider chain with
a tight, descriptive-never-causal prompt; an insufficient context
yields no narrative, a missing provider no-ops, neither fabricates.
- Nightly warm cron on week (Mon) / month (1st) boundaries, budget-gated
per user; the read-only GET enqueues a single-user warm on a cold read.
- Read route is stale-while-revalidate and never blocks on the provider;
the card renders plain text (no markdown), a single provenance
disclosure, and a fixed footprint (no CLS). i18n in all six locales.
