Output of `node scripts/strip-planning-tags.mjs --write`: 3,157 comment
lines in 1,308 files lose the work-item identifier at their head. Release
versions and issue references stay; nothing outside comment text
changes, which the script checks per file against a comment-free
printout. healthlog/no-planning-tags is enabled at error level with this
commit, so the tree it lands on is clean.
The zone-shift and single-Pearson guards now assert that their matchers
find the correct shapes before concluding nothing else matches, and the
dense-read guard lists the streak's per-day existence probe with the
reason it stays bounded.
A bridge that pushes workouts from a watch vendor had no credential that
reached POST /api/workouts/batch: the route called requireAuth() with no
scope, so under the fail-closed default only a cookie session or a
wildcard token got through, and a measurements:write token was refused
403. The route's header still described the pre-fail-closed behaviour.
Add a separate workouts:write scope rather than widening
measurements:write, so a token already handed to a scale does not start
accepting workouts.
- POST /api/tokens/workouts mints it, mirroring the measurement and
document mints: cookie session plus a fresh proof, a literal permission
array, 10 mints a minute, at most 10 live tokens (409
tokens.workouts.ceiling_reached), a one-year default lifetime, audited.
- POST /api/workouts/batch names the scope. Sessions and wildcard tokens
behave as before. A scoped caller's workouts are stored as EXTERNAL,
resolved from the credential, and a batch in which any entry names a
source is refused 422 (workout.batch.source_not_permitted), the same
rule the measurement batch applies. EXTERNAL is on no source ladder, so
when the phone recorded the same session the phone's copy is shown.
- Settings > API offers a workout token card next to the measurement one,
and the endpoint list shows the batch route.
- Guards: the mint site, the declared scope vocabulary, the recent-proof
routes, and a new check that only the batch declares the scope.
- OpenAPI documents the mint, the batch's narrow-token behaviour and both
error codes; docs/api/README.md lists the workout and document mints.
Refs #1054
Each `createManyAndReturn` flush of the export import left about 5 MB of
heap behind until some two dozen calls had piled up. A 300 000-record
synthetic import under a 524 MB heap settled at 53 MB retained; a run of
back-to-back 600-row calls with nothing between them reached 212 MB.
Spot rows now go through the column-array `INSERT … SELECT FROM unnest`
the restore already uses, with `ON CONFLICT DO NOTHING RETURNING`, which
is what `createMany({ skipDuplicates })` emits. The same import holds
11.5 MB and finishes in 35 s instead of 55 s. Ids are minted in the
cuid() shape, defaults are written as the client would write them, and
integration tests compare the returned rows and the resulting table with
`createManyAndReturn` for fresh rows, conflicts on either unique
identity, and duplicates inside one call.
Pull the athlete's exercises from the stateless GET /v3/exercises list (last
30 days of uploads, no transaction, no userId in the path) and upsert each into
the Workout table as source POLAR, keyed on (userId, source, externalId) so a
re-fetch or Polar-side re-analysis overwrites in place. A new table-driven
sport map normalises the raw Polar sport labels into the canonical
WorkoutSportType bucket at ingest, mirroring the Strava/WHOOP mappers; the raw
labels and training load ride metadata for provenance.
The exercise leg rides the existing hourly polar-sync cohort tick alongside the
vitals leg, with independent attribution on the shared polar ledger: each leg
is attempted and records its own failure, and neither can mask the other's
result. Polar takes its place in the workout source ladder between Withings and
Strava. No migration and no OpenAPI change: MeasurementSource.POLAR and the
full workouts source enum already exist.
Refs #568
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