Hotfix on top of v1.4.39. Three measurement write paths (Withings
sync, `/api/import`, admin backup restore) were bypassing the
persistent rollup tier's write hook, so the dashboard chart's
`source=rollup` fast-path painted the "Noch nicht genug Daten"
empty-state at the 30 / 90 range on accounts whose recent data only
came through those paths. The 7-day window kept rendering because the
chart's raw fetch never consults the rollup tier.
This release wires the write hook into every remaining ingest path,
re-anchors the boot-time backfill discovery to per-day coverage so
already-deployed instances re-converge on the next worker boot, and
re-anchors one date-bound test in the medications-intake route suite
so the green CI run no longer depends on the wall clock.
Tests 4647 → 4648 passing; one long-standing skip unchanged.
The v1.4.39 W-MED route test hard-coded a `2026-05-18` rollup row and
expected it to land at `body.data[body.data.length - 1]` (today). The
test ran green on the day the marathon shipped, then started failing
on every subsequent day because the trailing-7-day window drifted off
the seed. Deriving the seed key from `new Date()` keeps the assertion
date-stable across the calendar without weakening the parity check.
The pre-fix boot-time discovery used a `(user, type)` LEFT JOIN
against `measurement_rollups`: an account surfaced only when the
ENTIRE type had zero rollup rows. Once any single day for that type
had a row (e.g. from a prior boot backfill), the user dropped off the
discovery list, even if 27 OTHER days for the same type were missing
rollup rows because the Withings sync or `/api/import` path had
written measurements without firing the rollup hook.
Switching the inner DISTINCT to `(user_id, type, bucket_start)` and
joining on `r.bucket_start = mt.bucket_start` surfaces every per-day
gap. Cost: the aggregate grows from ~15 rows / user to ~5 k rows / user
on a 5-year power user — still bounded by the existing
`(user_id, type, measured_at)` index path and the rollup table's
composite primary key. The legacy `sum_value IS NULL` branch stays
on the same UNION so v1.4.39 write-tier converges continue working.
A new text-anchored unit test pins the per-day join shape so a future
refactor cannot silently revert to the per-type form.
Both ingest paths wrote into `measurements` without firing the rollup
write hook, leaving the dashboard chart's `source=rollup` fast-path
blind to the imported days. The mood / medication-compliance rollup
tiers already had post-batch hooks on these routes; the measurement
tier had been the gap.
- `/api/import`: tracks every touched `(type, measuredAt)` written
during the batch, collapses to distinct `(type, day)` via
`collapseToTypeDayKeys`, and folds once at the end. A 10 000-row
CSV restore now pays at most ~N (type, day) recomputes rather than
10 000 per-row hooks.
- Admin backup restore: the transaction wipes the user's
`measurement_rollups` partition alongside the existing
`mood_entry_rollups` wipe, and the post-transaction step kicks a
`recomputeUserRollups(ownerId)` so the restored dataset paints
fresh tiles instead of carrying the previous owner's daily means
forward.
- Best-effort posture preserved in both paths: a populator hiccup
surfaces via `annotate` but never undoes the restore / import.
Test coverage extends the existing `/api/import` route suite with a
regression that pins the per-`(type, day)` collapse and a duplicate-
write case (`P2002`) that proves the hook is skipped when nothing
was actually written.
Three Withings ingest paths wrote measurements without ever firing the
rollup write hook: `syncUserMeasurements`, `syncUserActivity`, and
`syncUserSleep`. Once the dashboard chart's `source=rollup` fast-path
landed in v1.4.36 the under-counting started biting Withings-only
metrics on the 30 / 90-day range — Marc's BP / pulse charts painted
the empty-state at 30 even though the live `measurements` table held
the days. The 7-day window kept reading raw rows so the empty-state
only appeared above the chart's `< 3 daily points` threshold.
Each sync now collects every `(type, measuredAt)` it touched, collapses
to distinct `(type, dayStart)` via `collapseToTypeDayKeys`, and calls
`recomputeBucketsForMeasurement` once per pair after the row writes.
The per-day collapse keeps a 30-day catch-up bounded — at most ~30
DAY recomputes per sync rather than one per row. Best-effort: a
populator hiccup never fails the user's sync.
- Tests pin the hook call count on activity (6 calls for 2 days × 3
metrics, 3 calls when the dates collapse) and sleep (one per night
even when each night has multiple stage segments), plus a populator-
failure path that proves the sync still returns its imported count.
- Reproducer verified: stashing the sync-activity hook makes the new
test red on develop; restoring it greens.
Closes the audit-marathon closure series with rows for v1.4.38.5
through v1.4.38.8 (the four-hotfix chain that landed between v1.4.38.4
and v1.4.39) plus v1.4.39 itself.
Adds round-v1439-perf-verify.md anchored on the live deploy
(commit hash d84922cd, deploy uuid ujgsxpa46esyzybjldgxjeox) and the
public-surface 10x burst median 86 ms. Authenticated heavy-endpoint
verification awaits the first browser session against the live deploy.
Squashed merge of the v1.4.39 wave work from develop. The release
extends the v1.4.38 fast-path posture to two more endpoints that
still walked the source table on every cold mount and folds a
cumulative `sum_value` column into the existing rollup tier so step /
flight / distance / daylight / active-energy sparklines no longer
re-derive their daily totals in Node.
Raw measurements / mood_entries / medication_intake_events tables are
byte-unchanged. Three new tiers (mood_entry_rollups,
medication_compliance_rollups, measurement_rollups.sum_value) are
derived caches that self-heal via boot-time backfill on first reach.
Migrations 0070, 0071, 0072 are additive only. The sum_value column
add is catalog-only DDL on PostgreSQL 11+ — no table rewrite, writes
resume in milliseconds. No environment-variable change. No API
contract break. No iOS contract change.
Expected wins (live perf-verify rides the post-deploy window):
- /api/mood/analytics cold 12.7 s -> ~200 ms
- /api/medications/intake?scope=compliance cold 3.2 s -> ~200 ms
- /api/dashboard/summary cumulative sparkline ~500 ms -> ~300 ms
- /api/analytics live-fallback row cap 347 k -> ~5 k (425 d cap
preserves the year-ago baseline tile)
Tests 4 524 -> 4 640 (+116). Typecheck clean. Lint clean.
See CHANGELOG.md for the full v1.4.39 entry.
Mood, medication-compliance, and cumulative-sum rollup tiers extend
the v1.4.38 fast-path posture to two more endpoints that still walked
the source table on every cold mount.
Raw measurements / mood_entries / medication_intake_events tables are
byte-unchanged. Three new tiers are derived caches that self-heal via
boot-time backfill on first reach.
Expected wins:
- /api/mood/analytics 12.7 s -> ~200 ms
- /api/medications/intake?scope=compliance 3.2 s -> ~200 ms
- /api/dashboard/summary ~500 ms -> ~300 ms
- /api/analytics live-fallback 347 k rows -> ~5 k rows (425 d cap)
Tests 4 524 -> 4 640 (+116). Typecheck clean. Lint clean.
QA F-H-01 (v1.4.39) tightened `hasMedicationComplianceCoverage` to a
`$queryRaw` aggregate; the route test mocks were still calling
`prisma.medicationComplianceRollup.findFirst`. Switch the mocks to the
new probe shape — `{ rolled_days, event_days }` — and add a
`$executeRaw` mock for the atomic upsert path that QA F-H-02 introduced.
The covered-vs-coverage-miss cases pin the rollup-tier and live-fallback
branches under the new probe semantics.
Six QA reviewers (senior / security / specialist / ux / product-lead /
simplifier) ran on the v1.4.39 diff; their finding docs land here for
traceability. The v1.4.40 backlog captures every Medium + Low the
reconcile deliberately deferred — F-SEC-M-02 RLS (v1.5), F-M-01
long-window consumer (v1.5), F-M-02 unused tx parameter, F-M-03 partial
index post-convergence, F-M-05 RollupBucketRow consolidation, F-M-06
per-agent worktree process note, UX-M1-3 compliance + mood polish,
Specialist-M01 UNION arm cleanup, Simplifier dead-exports + duplicate
tz helpers, plus low-severity observability polish. UX-M4 is marked
obsolete (Specialist-H2 widen closed it).
QA Simplifier (v1.4.39): the cumulative-vs-spot sparkline branch in
the `sparkByType` loop was a nested ternary
(`useSum ? (row.sum_value !== null ? sum : mean * count) : mean`).
CLAUDE.md bans nested ternaries; the fix hoists the cumulative branch
into a named local so the outer ternary is single-level.
QA F-M-04 (v1.4.39): the wall-clock-anchored seed planted rows from
`nowMs` backwards, packing 6 000 rows × 15 min = 62.5 days starting
from "right now". Once the route's live-fallback cap is in effect,
the seed slides past the cap as time passes; under the old 90-day
cap the failure threshold was 28 days post-seed. Re-anchor the youngest
row to `nowMs - 30 * 86_400_000` so the seed always lives ~30-92 days
ago regardless of when CI runs the test.
QA F-SEC-M-01 (v1.4.39): the route's coverage-miss fallback was firing
`enqueueBootTimeMedicationComplianceBackfill` on every authenticated
hit, running a cluster-wide `LEFT JOIN medication_intake_events x
medication_compliance_rollups` discovery scan in the request path. On a
multi-tenant cluster with millions of intake events the planner walked
all of them per request — a soft DoS amplifier. Split into two helpers:
`enqueueUserMedicationComplianceBackfill(userId)` for the request path
(one targeted enqueue, no discovery scan) and the existing cluster-wide
discovery stays for the worker-boot path. Mirrors the mood-rollup
`ensureUserMoodRollupsFresh` posture. Pinned with a unit test that
asserts the user-scoped helper never issues `$queryRaw`.
QA Specialist-H2 (v1.4.39): the original 90-day cap on the per-type
live-fallback loop in `/api/analytics` silently nulled `summarize().avg30LastYear`
(year-ago tile) on every fall-through path because the window stopped at
day 90 and the year-ago aggregate reads days 365-395. Widened the cap to
425 days (365 + 30 for the year-ago bucket span + 30 buffer) so the
year-over-year comparison tile stays populated on cold mounts. The slim
slice and rollup-backed comprehensive aggregator already operate on
tighter windows so this only affects the legacy live-fallback path the
fast-path coverage gate misses. Adjusted the W-SINCE test that pinned
the 90-day cap and updated the route's `meta.analytics.bp_aggregate.live_since`
annotation rationale.
QA Specialist-H1 (v1.4.39): the wave-report noon-anchored parity tests
miss the DST-boundary case where the UTC-anchored rollup day-key and the
user's local wall-clock day-key diverge. Pinned with a route-parity test
that logs at `2025-10-25T23:30:00Z` (Berlin local `2025-10-26` 00:30,
post fall-back) and asserts the rollup tier emits `2025-10-25` —
documents the UTC-anchor trade-off the route's header comment now spells
out. v1.5 per-user-tz bucketing closes the gap; until then this is the
contract.
QA UX-H1 (v1.4.39): the rollup fast-path feeds `summarize()` one DataPoint
per calendar day (the rollup's `mean`); the live-fallback used to pass every
raw entry, which silently shifted `summary.count / latest / min / max / mean
/ avg7 / avg30 / slope30` on multi-entry days. Pre-aggregating the
live-fallback through `aggregateDailyAverages` before `summarize()` keeps
both branches byte-identical on multi-entry days too. Pinned with a
two-entries-on-the-same-day parity test that compares the live-fallback
and rollup-tier summary fields directly.
QA F-H-02 (v1.4.39): the read-aggregate-then-upsert pattern in the mood
and medication-compliance DAY recomputes could interleave concurrent
writes for the same (user, day) as A-SELECT -> B-SELECT -> B-UPSERT
(correct N) -> A-UPSERT (stale N-1), leaving a stale row until the next
write. Replaced both with a single SQL INSERT ... SELECT ... ON CONFLICT
DO UPDATE that re-aggregates inside the upsert subquery so each statement
commits with a snapshot taken after the prior commit released its row
lock. A paired DELETE statement handles the "all entries removed" case
in the same flow, gated on NOT EXISTS so it cannot clobber a row the
INSERT just wrote. Pinned both helpers with a Promise.all race test that
asserts both callers go through the atomic path and never fall back to
the legacy read-aggregate-upsert.
QA F-H-01 (v1.4.39): the previous "any row exists" probe would short-circuit
to the rollup path while only the first few days of a multi-medication
account had been backfilled, exposing zero-filled tiles for the un-rolled
days until the boot fold completed. The fix compares the count of DISTINCT
rolled days against the count of DISTINCT days that hold an intake event in
the trailing window via a single SQL aggregate; partial coverage now falls
through to the legacy aggregator until the fold catches up. Pinned with a
new unit test covering the partial-coverage case alongside the zero-events
and full-coverage cases.
Registers `medication-compliance-full-backfill` on pg-boss alongside
the existing `rollup-full-backfill` and `mood-rollup-full-backfill`
queues. The worker boot fires a discovery query that enqueues one
full-fold per user with intake events but no rollup coverage —
idempotent across reboots and singleton-keyed so a fast restart
while a backfill is queued doesn't double up. The reminder worker's
RED-phase mint path also wires the per-write rollup hook so freshly
minted `takenAt:null` rows bump the per-day `scheduled` count before
any read sees the user's compliance tile. Legacy accounts pre-dating
the v1.4.39 deploy auto-converge on the persistent tier without
operator action.
Unit-covers the writer's `(scheduled, taken, skipped)` upsert, the
zero-event delete, idempotency across repeated invocations, the
tz-anchored UTC window math, and the Berlin vs Los Angeles bucket
parity for an instant that lands on different local days. Reader
tests pin the trailing-window zero-fill plus the per-medication
fold-to-day. Boot-backfill discovery tests pin the singleton-keyed
enqueue. Route tests extend the existing harness with the new
coverage probe — rollup-tier read on coverage, live fallback on
miss — without touching the byte-stable response shape.
Swaps `/api/medications/intake?scope=compliance` onto the rollup
reader behind a coverage probe — a user with intake events but no
rollup rows still gets a correct response from the legacy live
aggregator and triggers the boot backfill in the background so the
next request lands on the rollup path. Every write site that mutates
`MedicationIntakeEvent` (POST + PUT + DELETE + per-medication import,
bulk batch, telegram callbacks, external API ingest, admin restore)
now fires `recomputeMedicationComplianceForEvent` for the affected
user-day. Bulk + import collapse the per-row hooks to one recompute
per distinct `(medicationId, dayKey)` so a 500-row ingest still costs
a bounded fold. Purge wipes the rollup partition alongside the
intake-event deleteMany. Eliminates the 3.2 s cold mount the
v1.4.38 perf analysis attributed to the unbounded event findMany.
Materialises the persistent medication-compliance rollup tier behind
`MedicationComplianceRollup`. Per-`(userId, medicationId, day)` row
where `day` is `YYYY-MM-DD` anchored to the user's IANA timezone.
`recomputeMedicationComplianceForDay` upserts the row from the events
inside the local-day UTC window; `readMedicationCompliance` returns a
zero-filled trailing-window bucket array matching the legacy
`buildComplianceBuckets` shape so consumer swaps are byte-stable.
`hasMedicationComplianceCoverage` powers the route's coverage probe
and `recomputeUserMedicationCompliance` is the full-fold the worker
boot backfill calls.
Unit tests pin the per-write hook contract (DAY upsert + WEEK/MONTH/
YEAR enqueue + delete-on-empty + idempotency under re-run), the
warm-up helper (no-op on fresh / dedup on concurrent / annotate on
populator failure), and the boot-time discovery enqueue. Route
tests pin the parity contract: identical entries + summary shape
between the rollup fast path and the live-fallback walk, plus the
LRU warm-read invariant.
Registers mood-rollup-recompute (per-bucket WEEK/MONTH/YEAR fold)
and mood-rollup-full-backfill (boot discovery) onto pg-boss. The
worker boot now fires a discovery query that enqueues one full-fold
job per user with mood entries but zero mood_entry_rollups rows —
idempotent across reboots and singleton-keyed so a fast restart
while a backfill is queued doesn't double up. Legacy accounts
pre-dating the v1.4.39 deploy auto-converge on the persistent tier
without operator action.
Captures the cumulative-metric sum_value rollup work — writer +
boot-backfill discovery widening + consumer swaps in
`/api/measurements?groupBy=day` and `/api/dashboard/summary` +
new `rollup-read-cumulative.ts` helpers. Documents the
`/api/analytics` A2 skip-cumulative deferral to v1.4.40 (file
owned by W-SINCE in this phase) and the per-source W8c deferral
to v1.5. Surfaces the cross-agent commit-message drift recurrence
for the marathon retrospective.
The /api/mood/analytics cold mount walked every MoodEntry the user
had ever written into Node only to bucket-average in JS. Reroutes
the read through readMoodDayRollups which returns one row per
calendar day from the persisted tier, and wires the per-write hook
into every mood mutation site so the rollup stays current:
- POST/PUT/DELETE /api/mood-entries — inline recompute
- POST /api/mood-entries/bulk — collapsed to per-day fan-out
- POST /api/integrations/moodlog/webhook — inline recompute
- syncMoodLogEntries — bounded re-fold after batch sync
- DELETE /api/settings/moodlog + DELETE /api/settings/data —
drop the user's rollup partition alongside the entries
- admin restore + import — re-fold after the bulk write
Coverage-fallback mirrors summaries-slice: when the rollup count is
zero but raw mood entries exist (legacy account before the boot
backfill catches up) the route falls through to the legacy live walk
once and the warm-up helper fires asynchronously so the next request
lands on the fast path.
The per-type loop inside `buildAnalyticsResponse` calls
`fetchMeasurementSeriesChunked` without a `since` filter, so a single
default-slice request pulls every measurement ever for the user across
15 chunked rounds. The v1.4.38.8 per-type fast-path gate made this
unreachable in the common case, but a regression on those gates would
re-trigger Marc's 74.6 s cold full-slice mount.
- Add `ANALYTICS_LIVE_WINDOW_DAYS = 90` + `liveSince` constant.
- Thread `since: liveSince` into every per-type chunked read.
- Annotate `meta.analytics.bp_aggregate.live_since` (ISO) so the next
perf-verify can prove the cap is in effect on a live request.
Defense-in-depth only — the rollup fast-path is unchanged because it
never reaches the per-type loop. Worst-case bound drops from ~347 k
rows to ~5 k rows on Marc's tenant (matching the
comprehensive-aggregator + summaries-slice 90-day windows).
Trade-off: `summarize().avg30LastYear` returns null on the fall-through
path; the dashboard's year-over-year overlay shows "no prior data"
until the rollup tier warms. Acceptable on a degraded path that
v1.4.38.8 already made rare.
Tests: new `src/__tests__/api/analytics/since-cap.test.ts` pins the
90-day floor on every per-type findMany, pins the `live_since`
annotate, and pins that the slim slice is untouched. Existing chunked
paging integration test reseeded with timestamps inside the 90-day
window so it still exercises the two-chunk boundary.
Adds `computeLongWindowSummary(userId, type, windowDays)` — the
ready-to-use entry point for the v1.5 multi-year trend card and the
Coach drawer's "history" tile. Routes the requested window through
the largest granularity that still resolves it (90 d \u2192 DAY,
365 d \u2192 MONTH, 1095 d \u2192 YEAR) via
`readBestGranularityRollups`, then composes `count / min / max /
mean / sum` linearly from the bucket rows. SD / slope / r2 are
intentionally omitted because they do not compose across coarser
buckets.
The existing `computeSummariesSlice` shape is untouched — its
windowed columns cap at 90 d so the live SQL path is already
DAY-tier optimal. Wiring the all-time aggregate through YEAR
buckets would risk staleness on multi-year data because the
WEEK / MONTH / YEAR tiers update asynchronously via pg-boss while
DAY is kept fresh by the sync write-hook. Deferring that swap to
v1.5 (covered in the W-WMY phase report).
18 unit pins covering each reader's granularity filter, the
coverage-miss `null` return shape, the auto-router's window-to-tier
selection (90 d / 365 d / 1095 d), the fall-through chain on partial
coverage, and the linear-composition contract for count / min / max
/ mean / sumValue across coarser buckets.
Adds bounded findMany helpers for the WEEK / MONTH / YEAR rollup
buckets the writer has been minting since v1.5.0 but no reader
consults. `readBestGranularityRollups` auto-routes a window to the
coarsest granularity that still resolves it (90 d \u2192 DAY, 365 d
\u2192 MONTH, 1095 d \u2192 YEAR) with a fall-through to finer tiers
on coverage miss. `aggregateWmyBuckets` mirrors the DAY-side
compositional contract for count / min / max / mean and folds the
new `sumValue` column for cumulative-metric callers.
The sparkline aggregate row now carries `sum_value` (+ `count`)
alongside the bucket mean. Cumulative tiles — ACTIVITY_STEPS today,
every CUMULATIVE_HK_TYPES member tomorrow — render the daily SUM
rather than the daily MEAN, which previously understated the visual
trend signal by the per-bucket sample count.
Spot tiles stay on `mean`. Cumulative tiles fall back to
`mean * count` when the legacy NULL surfaces (pre-v1.4.39 buckets
waiting for the boot-time backfill to converge). The two pre-v1.4.39
$queryRaw select-list changes are additive and the cache wrap stays
unchanged.
`GET /api/measurements?source=rollup&aggregate=daily` previously
reconstructed cumulative daily totals from `mean * count`. The
v1.4.39 writer populates the new `sum_value` column on every fold,
so the read path consumes it directly. The legacy `mean * count`
arithmetic stays as the fallback for boot-backfill convergence
where existing rows still carry `sumValue = null`.
Algebraically equivalent (AVG = SUM / COUNT for a single-source
day), so this is a no-op for byte parity until the cumulative
single-source assumption breaks — at which point the bucket-level
SUM is the canonical reference rather than the reconstructed value.
The v1.4.39 schema scaffolding added `measurement_rollups.sum_value`
for the cumulative-metric daily totals (steps, flights, distance,
daylight, active-energy). Extends the rollup aggregator to also `SUM`
each bucket and persist the column for every (user, type,
granularity, bucket) row regardless of metric kind — spot metrics
carry the column for free because the SUM rides on the same
$queryRaw aggregate as AVG / MIN / MAX / STDDEV_POP / REGR_*.
Boot-time backfill discovery now unions in users whose existing DAY
rollup rows carry `sum_value IS NULL`. Re-folding converges those
rows because `persistRollupRows` always writes the new column on
upsert, and the union runs as one indexed pass alongside the per-
type missing-coverage discovery.
Adds `src/lib/measurements/rollup-read-cumulative.ts` with the new
`readCumulativeDaySums` / `readCumulativeDaySumsBatch` helpers
consumers use to swap off the per-type chunked findMany loop.
Helpers fall back to `mean * count` when the legacy NULL surfaces so
the chart never paints a hole during the boot-backfill convergence
window.
Audit anchor: .planning/round-v1438-perf-analysis.md §3 (cumulative
daily sums) + §5 P3.
Mirrors the measurement-rollups tier for the mood domain. Adds the
write-path hook (synchronous DAY upsert + async WEEK/MONTH/YEAR enqueue),
the bounded DAY reader, the warm-up helper, and the boot-time
backfill discovery. Closes the §2.3 finding in the v1.4.38 perf
analysis where /api/mood/analytics walked every MoodEntry on every
cold mount.
Three additive Prisma additions land in one commit so the v1.4.39 wave
agents (W-MOOD, W-MED, W-SUM) build against a stable generated client:
- `mood_entry_rollups`: per-(user, granularity, bucket) mood stats
(count / mean / min / max / sd). Reuses the existing
`measurement_rollup_granularity` enum.
- `medication_compliance_rollups`: per-(user, medication, day)
scheduled / taken / skipped triple. `day` is the user-tz-anchored
YYYY-MM-DD string so multi-instance reads do not re-derive boundaries.
- `measurement_rollups.sum_value`: nullable column. Cumulative-metric
read paths consume it directly; boot backfill folds NULLs on first
reach.
Migrations 0070 / 0071 / 0072 use IF NOT EXISTS + DO $$ EXCEPTION WHEN
duplicate_object guards (mirror 0061 / 0067 / 0069). No ALTER on
existing tables that downgrade row contracts, no DROP. Backward-safe
read paths land in the wave agents that follow.
Includes `.planning/round-v1438-perf-analysis.md` — the read-only audit
that anchors the wave plan.
`isFullyCovered(coverage) && specificTypes` poisoned every fast-
path with a single unrelated uncovered measurement type. v1.4.38.5
verified the discovery query was finding nothing; the slow cold-
mount was the AND-stack collapsing the gate.
- correlations-fast-path: gates on SYS + PULSE + WEIGHT only.
- bp-in-target-fast-path: gates on SYS + DIA only.
- health-score-fast-path: gates on WEIGHT only.
Coverage-probe semantics unchanged; helpers now consult the per-
type entries directly. Power-user cold-mount on /api/analytics
estimated 30-75 s → ~3-5 s.
Rollup recompute observability + admin trigger.
- POST /api/admin/rollups/recompute synchronously folds one user or
re-runs the boot-discovery loop on demand. Admin-gated.
- slim_summaries live-fallback now annotates `fallback_reason` and
`missing_types[]` so the operator can map a slow cold-mount to
the type missing DAY-bucket coverage without DB shell access.
- Boot-backfill discovery now logs every result, including the
silent "no users to backfill" case — the previous shape made it
impossible to tell "discovery ran cleanly + found nothing" apart
from "discovery never executed".
See CHANGELOG.md.
v1.4.38.5 referenced `r."id" IS NULL` on the LEFT JOIN — but
`measurement_rollups` has a composite primary key
`(user_id, type, granularity, bucket_start)` and no surrogate `id`
column. Postgres rejected the query with `column r.id does not
exist` (SQL state 42703); the worker boot swallowed the error per
the helper's best-effort contract and the queue stayed empty.
Net effect: v1.4.38.5 deployed cleanly but delivered none of its
promised fast-path recovery. Marc's account stayed on the live
aggregator.
The fix uses `r."bucket_start" IS NULL` — any column from the
unmatched right side of the LEFT JOIN serves the "no matching row"
filter, and `bucket_start` is part of the composite PK so the
planner already has the column. Bumps to v1.4.38.6.
Analytics fast-path restored on long-running accounts. The boot-time
rollup-backfill discovery query was matching only ZERO-rollup users;
any account that ever folded silently stranded the moment a brand-
new measurement type landed. Discovery now widens to per-type
missing coverage so the boot-backfill queue picks these accounts up
on the next deploy and folds them back into the fast-path.
Analytics fast-path restored. The boot-time rollup-backfill
discovery query was only matching users with ZERO rollup rows;
long-running accounts silently stranded the moment a brand-new
measurement type landed because their existing rollup buckets kept
them invisible to discovery while the new type's empty partition
kept `isFullyCovered(coverage)` at `false`. Every `/api/analytics`,
dashboard summary, and mood-analytics read then fanned out to the
live aggregator across the full measurement table — 30-75 s on
power-user accounts after every container restart.
v1.4.38.5 widens discovery to per-type missing coverage so the
boot-backfill queue picks up these accounts on the next deploy and
folds them.
See CHANGELOG.md.
Marc's account hit the slow-path live SQL aggregator on every read
after every deploy: `/api/analytics` cold-mounted in ~75 s,
`/api/mood/analytics` in ~13 s, `slim_summaries` annotated
`path:"live", row_count:347114`. Root cause traced to
`enqueueBootTimeRollupBackfill`'s discovery query:
WHERE NOT EXISTS (
SELECT 1 FROM measurement_rollups r WHERE r."user_id" = u."id"
)
The clause only matched users with ZERO rollup rows. Any account
that had ever been folded (every long-running user) silently
stranded once a brand-new measurement type landed: the existing
WEIGHT bucket kept the user invisible to discovery, but the new
type's empty DAY partition kept `isFullyCovered(coverage)` at
`false` forever. Every analytics / dashboard read then fanned out
to the live aggregator across the full measurement table.
Discovery now joins `(user, distinct type)` against
`measurement_rollups` on the `(user, type, granularity=DAY)`
partition and surfaces users where any partition is unmatched. The
v1.4.35.1 zero-rollup case is still covered (the LEFT JOIN of an
empty rollup table emits a row for every type the user has logged).
Integration test pins the partial-coverage regression: a user with
WEIGHT rolled up + a brand-new PULSE row now lands on the queue.
Pro-active stale-shell self-heal — Marc reported the live site
"nicht erreichbar" on his pre-v1.4.38.3 PWA shell, even though the
server returned 200 on every endpoint. The v1.4.38.3 reactive
reload only fires after the running app trips `ChunkLoadError`;
users sitting on a page with no lazy-load trigger never recovered.
v1.4.38.4 closes that gap with `<VersionPoller>` + SW
`CACHE_VERSION` per-release + `NEXT_PUBLIC_APP_VERSION` injection,
so every future deploy heals itself within 60 s of the user
opening the app.
Mirrors the v1.4.38.4 tag (the previous release commit only carried
the CHANGELOG entry because the editor lost the version-line edit on
a merge race). `NEXT_PUBLIC_APP_VERSION` derives from this string at
build time, so the running shell's self-heal poll would otherwise
keep firing against itself.
Marc-André Bombeck