Pull Oura's daily_cycle_phases collection (undocumented in the published
OpenAPI spec, but confirmed live and auth-gated identically to every other
daily_* collection) on the existing hourly Oura poll. A luteal→follicular
transition, or a literal "menstrual" phase day, writes a single-day
CycleDayLog(flow=LIGHT, source=OURA) — the same conservative "logged but
unspecified intensity" marker the HealthKit unspecified-flow mapping uses.
Manual entries always win: the write only ever creates a day that has no
existing CycleDayLog row at all, regardless of source, and never updates a
row it did not create itself. No MenstrualCycle span is synthesised, mirroring
the Apple Health importer precedent. A 403/404 on the endpoint (the expected
outcome for most connections — Oura's reproductive-health resources are all
absent from its public spec) is swallowed without touching the rest of the
Oura connection's sync status.
No migration: reuses the existing CycleDayLog.source column and the OURA
value already present on MeasurementSource.
The Today digest went stale after logging a dose: nothing invalidated the
`["daily","digest"]` query, and it reads meds from the same server snapshot
the intake routes already hard-evict — so the "dose due" rail item lingered
until a hard reload. Add the digest key to the medication-dependent bundle and
force the inactive digest (unmounted while the user is on the medication card)
to refetch alongside the dashboard snapshot; the server snapshot eviction seam
is reused, so the refetch returns post-write dose state immediately.
Remove the score-ring cluster from the Today hero — it read as uneven and
wasted tile space. The health-score ring is the hero's only ring now; the
score-ring selection contract stays server-side for the native client. Tighten
the hero's vertical rhythm so the worth-a-look rail sits close under the lead
instead of floating below a half-empty column.
Wire the remaining sleep transports into the morning-refresh trigger: Google
Health, Fitbit, Oura, and Polar now enqueue the debounced morning refresh on a
last-night segment landing, matching the Withings / WHOOP / Apple seams — those
sources had no trigger at all. Make the trigger observable: each early-return
gate now annotates a distinct `daily.morning_refresh.skipped` reason (the
not-last-night gate also carries the samples' resolved local dates, today's key
and the tz) so a real landing shows exactly which gate fired.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018V8V9qapgHi7fhgtMJ8SkM
Platform-wide hardening: the failure classes found live this week hunted down
across every integration.
Fitbit carried the same tombstone wedge fixed for Google — probe now matches
soft-deleted rows and the update resurrects them; the comment describing a
partial unique index that never existed is corrected. Sleep segment ids are
stable across re-scoring for Withings (session+segment-start), WHOOP/Polar
(one segment per stage, no positional index) and Oura (run-start keyed), each
with a session-scoped sweep that soft-deletes rows a re-score orphaned — so
legacy and affected nights heal as they are re-read.
One platform rule for deleted rows: source-owned readings resurrect on
re-import (Withings, WHOOP, Oura, Polar, Nightscout, mood webhook, CSV
re-imports, Apple stats day-totals); Apple sample-grain deletions stick per
the paired-client contract, and the mood bulk route's tombstone match is now
a true no-op reported as duplicate. Import counts reconcile against actual
createMany counts.
Google lifecycle: a dead token registers on the cycle's hard-fail ledger, so
an expired connection parks instead of stamping success hourly; backfill and
sleep-repair markers stamp only after a clean pass (pg-boss retries are now
real); failed measurement writes hold the watermark; no-op updates are
skipped; mapping.md tells the current truth.
Scale: doctor-report reads only consumed columns and enabled sections;
exports and backups keyset-paginate; achievements tally via SQL buckets;
series charts day-bucket dense kinds beyond 90 days; BP pairing is a linear
two-pointer; distinct-type scans run server-side; the graded-series cold
fallback is bounded; the fitbit defer tracker loops instead of spreading.
Oura fetched all 8 collections under one Promise.all: a single flaky
endpoint or one throwing mapper rejected the whole batch and imported
nothing (readiness, sleep, activity, spo2 all went dark together). Settle
each collection independently, import what succeeds, and carry the failed
ones as a per-collection ledger — mirroring Google Health / Fitbit. The
reactive 401-refresh is preserved: a shared expired token 401s every
collection, one refresh is done, and only the failed collections retry.
A partial failure records the failure and does not stamp success, so the
freshness surface stays honest and the next tick refetches.
Date-only daily scalars from Oura and Polar were stored at UTC midnight
(`${day}T00:00:00.000Z`). On read these rows re-bucket through
`userDayKey(measuredAt, userTz)`, so for any west-of-UTC user the day
shifted back one: a June 1 SpO2 or readiness row filed under May 31 and
fell out of alignment with the HR/sleep rows that carry true instants.
Extend the existing `canonicalDailyTimestamp` helper to accept an optional
timezone and anchor a date-only day at local noon (noon UTC when no zone
is supplied) — a full twelve hours inside the calendar day, so it
round-trips through `userDayKey` to the same day for every zone within
plus/minus twelve hours. Route every Oura day-keyed mapper (via the shared
`dayAnchor` fallback) and all five Polar daily mappers through it; real
wake/measurement instants stay untouched. Fitbit already anchored at noon
and is now consistent; Whoop and the Withings cursor anchors were verified
not to be measurement anchors.
Fitbit, WHOOP, and Oura all issue one-time-use refresh tokens. The token
persistence did an unguarded read → refresh → write, so two overlapping
syncs for one user both read the same stored refresh token and both POST
it. The provider honours only the first; the loser's refresh comes back 401,
gets classified as reauth, and the connection is parked at `error_reauth`
spuriously even though the peer rotated the token successfully.
Add a shared `persistRotatedToken` helper that writes the rotated pair with
a compare-and-swap on the stored ciphertext (matched verbatim, since AES-GCM
re-encryption of the same plaintext differs byte-for-byte). When the
conditional update touches zero rows a peer already won the race; re-read the
row and reuse the peer's freshly rotated access token instead of erroring.
Wire it into all three providers — Fitbit and WHOOP `getValidToken`
(proactive expiry refresh, keyed by connection id) and Oura `storeOuraTokens`
(reactive 401 refresh, keyed by user id). Both racing callers now end with a
usable token and neither drops the connection.
Oura's daily_resilience collection reports a categorical level — limited,
adequate, solid, strong, exceptional. Encode it ordinally (limited=1 …
exceptional=5) into the numeric measurement value so it fits the existing
model with no new categorical column: add the RESILIENCE measurement type
(migration 0186), fetch and map daily_resilience in the Oura sync, and skip
an unknown or missing level rather than coercing it to zero.
RESILIENCE_LEVELS in the Oura client is the single source of truth for the
encoding. The day-keyed externalId keeps a re-sync idempotent so a re-scored
day overwrites in place. Extend the measurement-type label, unit, range,
category, chart-token, and PR-direction maps; add the metric label across all
six locales.
The daily_cardiovascular_age collection reports a years-unit arterial-age
estimate that maps directly onto the existing VASCULAR_AGE metric, so no
migration is needed. Resilience stays out: it is a categorical level with
no numeric home and would require a new type plus a categorical column.
STRESS_SCORE already has an HRV-derived COMPUTED producer that is not
wired into the source-priority ladder or the weekly graded-series
collapse, so adding a second Oura producer caused nondeterministic
collapse and double-counting. Drop the daily_stress fetch/map/wiring and
leave a note to re-add once STRESS_SCORE is laddered. The vO2_max
mapping, which is correctly ladder-wired, stays intact.
The Oura v2 client fetched sleep, readiness, activity, daily sleep, and
daily SpO2 but skipped the dedicated vO2_max collection and daily_stress.
An Oura user got no VO2max from any path even though the enum, the
cardio-fitness page, fitness-age, norms, and the LOINC code already exist.
Add fetchVo2Max + mapVo2Max (vo2_max -> VO2_MAX, mL/(kg·min)) and
fetchDailyStress + mapDailyStress. Oura exposes no headline stress score,
only minutes in high stress vs high recovery, so derive a bounded 0-100
STRESS_SCORE from the high-stress share of the day's charged time. Both
collections wire into the existing reactive-refresh sync tail; no
migration, no schema change, no iOS-contract impact.
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.
Deleting a user's stored Oura BYO credentials drops a live connection (a
token minted against the deleted app is orphaned), but the credentials
DELETE route skipped the auditLog + markDisconnected the disconnect route
performs, leaving the integration ledger parked at its last state with no
audit trail. Mirror the disconnect route when a token was present.
Drop two unused classifier type aliases and unexport the internal
invalid-grant helper, and refresh the stale 'full OAuth from env' headers on
the connect route and the env-credentials helper to the v1.17.1 DB-first
framing. Add the missing route tests for the BYO surface this release
touched: credentials GET/PUT/DELETE (422 reject, encrypt-on-write, the
audit/ledger branch) and the callback CSRF / cross-user / nocreds / success
paths.
Widen the Oura sync from a thin slice to the signals the v2 API actually
exposes, all server-authoritative:
- Real measured sleep timeline. mapSleep now reads the per-stage
sleep_phase_5_min hypnogram and emits one timed SLEEP_DURATION row per
contiguous 5-minute run, each stamped at its own end instant from
bedtime_start. The per-night reader reconstructs the true clock-time
timeline (measured, not synthesised) instead of the degraded
all-on-bedtime_end shape. Falls back to the four stage totals when no
hypnogram is present.
- daily_spo2 → OXYGEN_SATURATION and daily_sleep → SLEEP_SCORE, filling
two ladder slots that nothing wrote before.
- daily_readiness temperature_deviation → BODY_TEMPERATURE_DEVIATION, and
the eight readiness contributors are parsed (no longer dropped at the
JSON boundary) for the Insights surface.
- daily_activity equivalent_walking_distance → WALKING_RUNNING_DISTANCE,
so an Oura-only day no longer contributes zero distance.
Every sleep row now carries a record-scoped externalId
(sleep:<record-id>:<tag>) so a nap and the main sleep on one day stay
distinct instead of overwriting each other on a shared day key.
Polar and Oura resolved their OAuth client id/secret from the server
environment only, forcing every user on a deploy to share one app. Both
now read per-user BYO keys first, falling back to the shared env app when
unset, mirroring the WHOOP and Fitbit model.
- Add DB-first-then-env resolvers in src/lib/{polar,oura}/credentials.ts,
encrypting the client id/secret at rest on User.
- Repoint the connect, callback, status routes and the Oura refresh path
to the user-scoped resolver.
- Add /api/{polar,oura}/credentials (GET/PUT/DELETE) with Zod-validated
input and userId narrowed from the session.
- Render an optional 'your OAuth app credentials' form on the Polar and
Oura cards; the status read exposes hasOwnCredentials for the saved
placeholder. Existing env-only deploys keep working unchanged.
- Cover both resolvers (DB hit, env fallback, no creds) and the card form
with unit tests; add the new strings across all six locales.
The mobile settings test asserted three integration pills; Polar, Oura and
Nightscout bring the list to six. Remove the unused Oura and Polar field-map
documentation constants and the unused advanced-indices interface the dead-code
gate flagged.
Polar and Oura response classifiers were byte-identical copies of the
status-driven verdict, the typed API error, and the invalid_grant probe.
Extract classifyHttpStatus, an IntegrationApiError base carrying the vendor
label, and a vendor-scoped isOAuthInvalidGrant into a shared module; Polar
and Oura now re-export under their existing names and types so call sites
and instanceof checks are unchanged.
Collapse the triplicated classifyXFailure mapping (Polar, Oura, Nightscout)
onto one toFailureKind helper. Behaviour is identical: same classifications,
same failure kinds, same error types.
Connect an Oura account over the Cloud v2 API: an authorization-code OAuth
flow (shared app from OURA_CLIENT_ID / OURA_CLIENT_SECRET) on the same signed
state machinery as Polar. Unlike Polar, Oura issues refresh tokens; the sync
refreshes reactively on a 401, rotating and re-encrypting both tokens, and a
403 stays a hard reauth rather than a refresh.
An hourly poll-cohort job maps daily readiness to RECOVERY_SCORE, sleep to
per-stage durations plus efficiency / HRV / resting heart rate / respiratory
rate, and daily activity to steps and active energy — all tagged source OURA,
idempotent on (userId, type, source, externalId). Readiness flows through the
canonical recovery ladder above the computed proxy. Settings gains a connect /
disconnect card. Tokens are never logged or returned; every egress goes
through safeFetch.
Marc-André Bombeck