Closed analytics blocks survive a write that says it reached no further
back, so a writer that never invalidated left them on their pre-write
values. The Apple Health and Health Connect imports, the CSV and JSON
imports, the score engines, the WHOOP webhook, the Withings activity, sleep
and ECG legs, the Oura history backfill and the sleep-segment sweep wrote
measurements without touching the read caches; a long-history import
showed the old all-time figures until the entries aged out.
The shared post-mutation tail now marks the caches stale back to the
oldest row it is handed, and the Withings and Oura legs that hand-rolled
the same tail run through it. The two export imports share one tail that
refolds the rollups, marks the caches stale back to the oldest sample
written (all of them when none was) and re-warms the status assessments.
A sweep that tombstones a sleep segment drops every cached block.
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.
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.
Polar exposes only per-stage duration totals, so its mapper already
reconstructs a contiguous CORE-DEEP-REM order exactly like WHOOP and flags
each segment reconstructed. The night reader's honesty allow-list only held
WHOOP, so a Polar-won night was served with reconstructed:false — presenting
a synthetic stage order to web and iOS as if it were the device's measured
timing. Add POLAR to the allow-list so the layout is labelled approximate.
Polar's total_interruption_duration carried the night's awake time but was
dropped, so every Polar night read as fully consolidated (awakeMinutes:null,
awakenings:0) with overstated asleep-vs-in-bed efficiency. Lay it as a
leading AWAKE segment so the asleep stages partition the remaining window and
the reader surfaces real awake time.
WHOOP and Polar independently implemented the same contiguous-timeline walk.
Extract a shared reconstructContiguousSleepTimeline helper under src/lib/sleep
and call it from both; each mapper keeps only its field normalisation. Oura's
measured 5-min hypnogram is a different algorithm and is left untouched.
Marc-André Bombeck