Strava was the second workout integration, after WHOOP, that wrote its
raw vendor sport label ("Run", "Ride", "VirtualRide", ...) straight into
Workout.sportType instead of a canonical bucket. Every Strava row read
as generic, and the read-time picker treats two generic rows as
sport-compatible — a same-source brick session (Strava ride ending
~15:00, Strava run starting 15:03) could cluster into one and silently
drop a leg.
Add mapStravaSportType() (54 documented Strava sport_type values,
mirroring the WHOOP sport-map shape) and apply it at write time in
mapActivity(); the raw label stays in metadata.stravaType for
provenance. Backfill existing Strava rows via a hand-written migration
generated from the same table. Extend the cross-provider sport-map
parity test to cover Strava, and add a picker-level test proving a
back-to-back Ride+Run pair now survives as two rows instead of one.
pickCanonicalWorkout() picked one whole row per cluster by the source
ladder and dropped the rest, so a higher-priority twin with a null HR
(e.g. a Withings summary) discarded a lower-priority twin's real reading
(e.g. WHOOP's HR strap) instead of keeping it. The ladder winner is now
the base row, backfilled with avgHeartRate, maxHeartRate,
totalEnergyKcal, totalDistanceM, and elevationM from the ladder-highest
member that actually has each field — filling gaps, never overwriting a
value the base row already carries.
The base row also adopts a specific sport type from a cluster member
when its own is generic ("other" / unrecognised). Reaching that case
needs clustering to accept a generic↔specific sport pairing within the
proximity window, alongside the existing exact-match rule — two
different SPECIFIC sports (Walking vs Running) still never cluster, so
the core invariant holds.
Add Strava as a per-user BYO-OAuth workout source, mirroring the shipped
WHOOP/Oura/Polar pattern. Strava caps every new app at single-player mode, so
each self-hoster registers their own app and pastes the client id/secret into
Settings (falling back to a shared env app). Strava is a workout source only —
it exposes no daily metrics and no training-depth analytics are derived.
- Schema (migration 0233): per-user encrypted client id/secret + access/refresh
tokens, plaintext athlete id, incremental cursor, and backfill marker on
`User`; `STRAVA` added to `MeasurementSource`.
- Token model follows Oura's reactive-refresh-on-401 with a compare-and-set on
the stored refresh ciphertext, because Strava rotates its refresh token on
every refresh.
- Client over safeFetch: authorization-code + refresh, activity list + budget-
aware per-activity detail (for calories/HR), honouring the 200/15min cap; each
activity maps to one `Workout` row. Activity name/description stay in metadata
as data, never surfaced or interpolated.
- Dedup reuses the existing source-agnostic two-layer picker: `STRAVA` slots
into the workout ladder below the device-native wearables and above
MANUAL/IMPORT, so an Apple-Watch + Strava twin collapses to one canonical row.
- Poll-cohort hourly sync (:17) + self-converging boot backfill, wired into the
integration-sync registrar. Webhook deferred.
- OAuth routes (connect/callback/credentials/disconnect/status/test) with signed
state, cross-account re-auth rejection, and a surgical `www.strava.com`
connect-src gated to the Strava surfaces.
- Settings card + consolidated status envelope entry; env + compose whitelist;
i18n across all six locales.
- Garmin: no direct connector is possible (business-partner-only). Add
docs/integrations/garmin.md documenting the Apple Health / Google Health
Connect path and Garmin's withheld proprietary scores, cross-linked from both
platform docs, plus a non-connector info note in the Connections panel.
Regenerate docs/api/openapi.yaml for the new `STRAVA` MeasurementSource value.
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.
A typed apiFetch wrapper owns the envelope unwrap, the ok-check and the
error read for every client call — two hundred call sites across the
app migrate onto it and a lint rule keeps raw api fetches out for good.
The legacy timezone helpers fold into the tz module and test fixtures
drop personal names.
Lay the data-model foundation for the Fitbit/Pixel integration over the
Google Health API, mirroring the WHOOP provider. No OAuth, sync, or UI yet.
- Prisma: FitbitConnection (1:1 per user, encrypted access/refresh tokens)
and FitbitOAuthState models, two encrypted BYO-credential columns on User,
and FITBIT appended to the MeasurementSource enum. Migration
0117_v1120_fitbit_integration is additive only — one enum value plus two
tables and two nullable columns, no new MeasurementType (every launch
metric maps onto an existing type).
- Wire the two new encrypted columns and the FitbitConnection token columns
into scripts/rotate-encryption-key.ts.
- FITBIT touchpoints: the read measurementSourceEnum (not the writable set),
the DEFAULT_SOURCE_PRIORITY and workout-source ladders, the sources-section
label map, the IntegrationKey union plus its display name, and a
fitbit()/fitbitStatus() query-key pair. The source-rank SQL and read-tier
collapse pick FITBIT up from the ladders with no code change.
- Add the FITBIT source label to all six locale bundles and regenerate the
OpenAPI contract so the source enum carries FITBIT for the iOS decoder.
Add the WHOOP integration data layer (migration 0111): seven new
MeasurementType values (HRV_RMSSD, DAY_STRAIN, WORKOUT_STRAIN,
SLEEP_PERFORMANCE, SLEEP_EFFICIENCY, SLEEP_CONSISTENCY, SLEEP_NEED,
ENERGY_EXPENDITURE_KJ), a WHOOP MeasurementSource, the WhoopConnection
and WhoopOAuthState models, and the per-user encrypted BYO-key columns
on User. Day-strain takes DAY_STRAIN (not the COMPUTED STRAIN_SCORE) and
RMSSD takes HRV_RMSSD (not the SDNN HEART_RATE_VARIABILITY) so a native
value never shares a bucket with a derived proxy.
Carry the new types through the completeness walls (units, value ranges,
chart tokens, PR direction, categories, list-meta colours/icons/labels,
HealthKit-mapping exclusions) and feed the cross-source picker: recovery
ladder (WHOOP native above the COMPUTED proxy), WHOOP inserted into the
overlapping vital ladders and the workout ladder, plus skinTemperature
and respiratoryRate metric keys.
Largest feature delta in the v1.4.x line. Insights expands into seven dedicated metric sub-pages; GLP-1 medication tracking lands end-to-end (drug-level chart with Research Mode acknowledgment, EMA titration ladder, cadence + compliance, side-effect taxonomy, pen/vial inventory); cross-source priority becomes a two-axis resolver; per-user timezone threads through ten analytics surfaces; Withings activity + sleep v2 sync; onboarding rebuilt as a nested-route wizard; Personal Records ship end-to-end; Health Score provenance accordion; Coach runs native first-party prompts across six locales with a 1800-assertion refusal-probe matrix; OpenAPI drift gate hard-fails; multi-arch GHCR image. Migrations 0043 through 0060 are additive and forward-only. PROMPT_VERSION 4.24.0 → 4.25.0 with GROUND RULE 9 (refuses dose recommendations) and GROUND RULE 15 (refuses drug-level estimates with MDR + MDCG 2021-24 cites).
See CHANGELOG.md for the full per-section delta.
Marc-André Bombeck