parseCoachPrefs parsed the stored blob as a whole and returned the
defaults on any invalid field. A lookback value this version does not
know therefore dropped the metric exclusions with it. Each field now
falls back on its own, and the exclusion and cluster lists keep their
known entries, so drift narrows what the Coach reads instead of widening
it.
The deploy runbook's rollback section notes the one case this cannot
cover: v1.40.1 and earlier still parse the blob whole, so an account that
saved the new "Last year" lookback loses its exclusions there.
The earlier-tables block names each stored table with its window and row
count. The list was filtered by module and exclusion only, so a table
stored before the limit was set or narrowed still told the model how much
history it covered. It now answers to the same range test show_result
uses, and the history-reach guard checks both the filter and that the
call site passes the limit.
The provider-chain summary marked every entry available, so the Coach's
provider select offered entries without a key or sign-in. Choosing one
saved it to the front of the chain, the resolver skipped it, and the
select jumped back without a word.
Availability now comes from the presence probe, which names every chain
type whose credential is present. After a switch the picker reads the
chain back and says so when the server still answers with another
provider.
Taking the weekly preview from the writer dropped the schema check the
old scanner ran at the end, so a copy that violates the schema was
described as restorable. The collector now checks each section in its
JSON form as the writer shows it, an array section and a bulk table one
element at a time, plus the schema's one whole-document rule (a
canonical copy names every measurement by id). A copy that fails gets
no stored preview, and the preview route reads the copy itself, as it
did before. Nothing is kept beyond one element.
Measured on the preview memory test under --max-old-space-size=524:
held after the producer 3 MB with and without the check, raw peak
heapUsed 293 MB with it (335 MB without). The test now loads the
backup schema before its baseline: a module loaded once per process,
not memory that grows with the record.
A sample carrying the HealthLog origin marker was always dropped from an
export import. After a move to a new instance without a backup, the
export is how the mirrored values come back, and every one of them was
silently left out. A marked sample now counts as written by HealthLog
only when its HKExternalUUID names a row of this account of the same
kind, deleted rows included; a marked cycle sample only when the
account holds a day-log on its day. Every other marked sample is
imported, and still meets the manual-value match. A correlation's own
HKExternalUUID now covers records that carry none.
The day weight joined its source to an hour grouping of itself. With
stale or missing planner statistics, as after a new account imports a
year of pulse below the autoanalyze threshold, the planner ran that
join as a nested loop and the all-time pulse aggregate ran into the
60 s statement timeout. The weight is now two window passes over one
scan: the readings in a row's hour, and one marker per hour summed over
the day for the hour count. The weights are unchanged.
A new integration test seeds over 100k pulse rows with autovacuum off
and no ANALYZE, bounds the all-time reader and a zoned per-source mean
well under the timeout, and compares every row's weight against the
earlier self-join after ANALYZE. The ANALYZE the metric-series snapshot
test needed for the same trap is gone.
The vault's filter row gains a procedure facet beside the condition
facet. It lists the record's procedures and surgeries that hold at least
one live document, headed the way the visits page heads them (the
reason, else the practice, else the kind) with the body site and date
beneath, and narrows the list through the existing `encounterId` filter.
Same control, placement and clear behaviour as the condition facet; the
choice rides the URL as `?encounter=`, and an upload dropped into the
filtered view is filed against the procedure.
The usage read publishes the choices as `linkedProcedures` (additive),
decrypting only the label columns, and returns none when a sharing
grant does not cover the visits section.
On a phone an active facet now gives up label width before the search
field does, and the search keeps room for its icon and padding.
Getting started names the APP_MEMORY_LIMIT default and how to lower it
on a 2 GB host; the scaling guide says that web and worker share one
pool in the bundled single-container setup. The rollup comment names
migration 0372, which carries the hourly-mean statistic.
An account whose last backup attempt never came back was kept behind
every other account for as long as its attempt stayed open. A pass that
regularly stops on its time budget never reached it, so it never got a
copy again. It is now held back only until a later run has started on
another account; if its record kills the process again, its attempt is
the newest once more and it goes last again. A crash loop still leaves
the other accounts their copies, and the account itself is attempted at
least every second run.
The drill now reads every account's newest off-host object but still ran
on the default fifteen-minute expiry, without a lock and with two
retries, so a large instance could see it killed, run beside itself, and
page every failed account three times. It now carries a four-hour expiry,
stops between accounts on its budget and reports the objects it did not
reach, holds a pass lock at the binding, and is not retried.
A hover prefetch excused the mount refetch even after a dose logged
elsewhere had invalidated the medication reads, so the page showed the
compliance from before the dose. An invalidated entry now always
refetches.
The saved Coach window only seeded the snapshot and each tool's default.
A tool could still read back to all time, the availability probe reported
counts and means for history outside the window, and several blocks read
fixed windows of their own (labs 12 months, correlations 180 days, the
coarse tail, the all-time extremes) whatever the setting said.
coachPrefs.defaultWindow is now enforced as a limit through one module,
history-reach.ts: the turn context clamps the client window, the snapshot
clamps its window and gives every fixed-window block either the shorter
window or, when the block's own window cannot fit, leaves it out. Every
retrieval tool clamps its window, an earlier period or a stored table that
reaches past the limit answers outside_reach, and the probe reads only
inside the limit and names older history as outside_reach without any
figure. Follow-up chips that would read past the limit are not offered.
The default (allTime) is no limit and reads as before. MCP clients pass no
limit and keep their own window arguments.
Adds the twelve-month option, rewrites the picker text to state what is
read with the numbers the readers use, shows the same options in the
managed-profile settings, counts cluster members with a singular, and
drops the opacity on switched-off rows that put their text below WCAG AA.
The hero led with the first sentence of the cached briefing, which was
often a greeting ("Good morning.") while the sentence with content was
never shown. Without an AI provider it fell back to "Your health score
today is N.", which the hero then removed because the ring already
shows the number, leaving a ring and "Nothing needs your attention".
The daily digest now publishes the lead resolved on the server and a
short list of facts about the day:
- lead: the reaction line or the first briefing sentence that is not a
greeting and does not repeat the score while AI text is available,
otherwise a deterministic sentence about the strongest signal (a vital
outside its personal range, a night an hour off the usual, vitals in
range, last night). A fact the lead was built from leaves the list.
- today: up to five statements in priority order (Rest Mode, doses taken
today, an appointment today or tomorrow that is not already on the
rail, last night's sleep against the usual, vitals against their
personal range, cycle day). Module-gated on the server, never padded,
never asking for anything. A phone shows the first four.
- restMode: passed through while an illness episode is active.
- score.steadyWeeks: how long the score has held, read off the stored
daily scores, shown under the ring in place of a delta.
briefingLead skips greetings and score sentences the same way, so the
morning push improves with it. Visit times are rendered in the profile
timezone and hour-cycle preference; the cycle day comes from the same
verdict the cycle page uses. The ring, the rail and the charts are
unchanged. OpenAPI regenerated; additive fields only.
The Coach page gets a conversations panel on the right of the thread. From
1280 px it docks beside the thread and slides open and shut; the reading
column keeps its width either way and only its centring moves. It is open
on a first visit and remembers the last choice per device. Below 1280 px it
is a sheet from the right. The toggle sits at the trailing edge of the top
bar, through a small page-owned slot the top bar now renders.
The panel lists every conversation grouped by recency, with a row menu to
rename in place (Enter saves, Escape cancels without closing the panel) and
delete with the existing undo toast. The undo window now survives the sheet
closing. New chat is the round button at the panel's bottom right, and
picking or starting a conversation keeps ?c= in the URL.
The gear in the panel header opens quick settings: a popover from md up, a
bottom sheet on a phone. It switches the answering provider (chain reordered
through the existing route), the model and reasoning level where the person
owns them, and shows what the Coach can see. Keys, the Codex sign-in and the
fallback chain stay in Settings > AI. The drawer's gear opens the same
overlay. The composer's + menu is gone.
Settings > Coach links to /coach?settings=data, which opens the overlay on
what the Coach can see instead of a rail that no longer exists.
The parity test built a fresh Intl.DateTimeFormat for each of ~36k
comparisons and crossed the 5 s timeout on CI runners. One formatter per
zone halves its time; it also gets an explicit 20 s budget, since it is
meant to be exhaustive.
backupPayloadSchema is built when validations/backup.ts is evaluated and
holds about 12 MB of heap. The restore job, the stored-backup readers and
the export writer import that module, and they sit on the boot path, so
every server process built the schema at start whether or not it ever
touched a backup.
The schema version, the compatibility check and the per-section summary
move to validations/backup-summary.ts, which never builds the schema. The
call sites that validate a file (upload, restore, the summary and download
routes, and the streamed reader's element check) load backup.ts with a
dynamic import at that moment; everything else takes only types. The
OpenAPI registry keeps its static import, since only the spec generator
loads it.
After warm-up on a production build under --max-old-space-size=524, the
used heap drops by about 29 MB, and the schema no longer appears in a heap
snapshot. A structural test refuses a new static value import of the
module outside the registry.
get_metric_series (and get_metrics, the metric resources and the review
prompts, which fan out over it) answered with one section of a Coach
snapshot, but built the whole snapshot to get it: the all-type feature
extraction, the derived wellness layer, trajectory, correlations, memory,
GLP-1, cycle, illness, labs and visits. On a seeded account with about
215k measurements a resting heart rate read ran 208 SQL statements and
blocked the event loop for 175 ms to return under 2 KB.
The MCP surface now asks the executor for a source snapshot. It runs the
same prelude (prefs, module gates, admitted sources, cutoffs, now shared in
snapshot-prelude.ts) and the same block builders over the requested
source's reads only. The core clinical aggregates come from extractFeatures
scoped to the one block, whose bulk read keeps its all-type cap so the rows
a block sees do not change. A section large enough for the full builder's
prompt-budget pass to trim, and the environment cluster, go to the full
builder, so their results are the old ones by construction.
The integration test compares the tool's serialised result with the full
builder's section and grounding for nine sources over four windows, the
get_metrics batch and the metric resource, on a seeded account dense enough
to put the feature row cap into play.
The in-memory day-aggregate fake re-filtered every row for every day,
converting each timestamp to the profile timezone again, so a 1000-day
series took about five seconds and the graded pulse-status test hit its
timeout. It now groups by day and segment in one pass (4.8 s to 85 ms).
The medications list and the compliance summary refetch on every mount,
so a take or skip logged on another device shows on return (#316). The
nav link's hover / touch / focus intent and the route-commit preload
prefetch both reads too, so every visit through a link sent each of
them twice: the prefetch, then the identical request from the mount a
few hundred milliseconds after the first answer landed.
The mount now skips its refetch only when the cached data answers a
prefetch that went to the network for this visit: within the last 10 s,
and since the route last left /medications. A direct load, a return
with an older entry, or a quick return whose prefetch found the entry
still fresh keep the refetch on mount.
A Coach snapshot, a derived-metric batch or the Insights page fans out
into a dozen readers that each probe the same account's rollup coverage
at once. In production one MCP get_metrics call held 59 of these probes
open on the database together, each taking about 320 ms under that
contention, and the same burst repeated every 15 minutes.
Concurrent probes for one account now join the query already running.
Nothing is kept after it settles, each caller gets its own map, and a
measurement write drops the in-flight entry so a probe that starts after
a write always reads afresh. The registry lives on globalThis so every
server bundle shares it.
A document whose preview render fails for good (a PDF whose first page
renders blank) was queued by the boot-time backfill, refused, and queued
again at the next boot, without end.
The thumbnail job now keeps the failure with the document
(document_thumbnail_failures, migration 0374): the reason, the attempts
since the last success and when the newest failed. The backfill, both the
boot discovery and the per-account pass, leaves a document out after one
deterministic refusal (raster-failed, empty-render, pixel-cap) or three of
any other kind, until the document changes. A direct enqueue still renders
it, and a preview that is made clears the record.
A weekly or nightly backup job whose process died (a restart, a
container out of memory) stayed active until its two- or four-hour
expiry, and its retry walked the accounts in the same order: the account
that killed it has the oldest copy, so it led again, and every account
after it went without a copy for as long as that record stayed too
large.
Both passes now send with a five-minute pg-boss heartbeat, so a dead run
fails within minutes and its retry picks it up. Each pass records when it
started and finished every account (backup_pass_attempts, migration
0373); an account whose last attempt never finished goes behind all the
others. The backups page shows when the run in progress started and names
an account a run died under, for the weekly and the off-host card, and a
heartbeat timeout reads as what it means.
Since v1.39.6 the preview scanner parsed the JSON on its way into the
pieces, kept every section but the three bulk tables, and validated the
whole document at the end: a second copy of the record beside the
writer's own, inside the weekly job. On an account with a document vault
that is most of the record.
The writer now shows each section and each bulk row to an observer just
before writing it. The preview collects key uses from that and takes its
counts from the writer's own FullBackupCounts; nothing is parsed or kept.
An upload hands over the summary and key uses it has already validated.
The round trip pins the writer's counts and key uses to a full read of
the copy on an account with a row in every model, and a memory test holds
what the pass keeps once the producer is done.
Measured on 70,000 measurements, 3,000 mood entries and 40 one-megabyte
documents under --max-old-space-size=524: held after the producer
56 MB before, 3 MB after; peak heapUsed 398 MB before, 334 MB after.
The drill read only the alphabetically last object of the newest date, so
one account stood in for all of them. It now checks every object of that
date one at a time, records a failure against the account it belongs to,
keeps going, and pages once per failing object with its key and how many
accounts were checked.
A text column written before key ids existed holds the bare base64 of
nonce, tag and ciphertext. The key check read such a value as an encoded
Bytes column, decoded it once too often, and accused the v1 key of not
opening a copy it opens. The instance's stored AI key has exactly that
shape and is the shortest v1 value in every disaster-recovery copy, so it
was picked as the probe and refused every restore of an account with v1
values, even with the instance settings left out of the verdict.
A legacy value now reads as a string unless its decoded head is base64
text. Samples are kept per section and only the sections the verdict
counts are probed; a key is unreadable when none of its probes opens.
Binary values open with the label their column is sealed under, taken
from the encrypted-column registry, and are not probed when no label is
known. A preview stored by an earlier release is still read, and its
sample's layout is derived again from the value.
Day keys and wall-clock fields are computed per row in the analytics,
digest and personal-record loops, and each call ran
Intl.DateTimeFormat#formatToParts plus a resolvedOptions() allocation
to re-validate the zone. In a CPU profile of an Insights page load the
zone helpers were 17-19% of the busy time on the request thread.
Probe the offset once per UTC hour at both ends of the hour and derive
the wall clock arithmetically; an hour that contains a transition, an
instant outside 1971-2199 or an invalid date keeps the formatter path.
Zone validity is memoised per name. userDayKey drops from 9.3 to 1.5 us
per call, wallClockInTz from 6.4 to 0.5 us; a parity test checks the
result against Intl around every 2026 transition in ten zones.
probeRollupCoverage runs ahead of the dashboard snapshot, the analytics
slices and the comprehensive insights. It read every live row of the
account for SELECT DISTINCT type and counted every DAY bucket per type,
which the planner served with a sequential scan of measurement_rollups.
Walk the distinct types with a recursive CTE along the live index and
test coverage with EXISTS. On a copy of a long-lived account the probe
drops from 24-50 ms to under 2 ms and returns the same map; an
integration test keeps the old query as the oracle.
A production build loads src/lib/db.ts once per server bundle, and the
client was only parked on globalThis outside production. The running
process held three clients: about 28 MB of query-compiler state each on
a heap capped near 520 MB, and three pg pools each sized to the full
per-process connection budget. Park the client on globalThis in every
environment so each copy of the module resolves the same one.
The tracker posts to `${data-host-url}${collect path}`, and the collect
path is compiled into the operator's Umami build: /api/send by default,
anything else when the instance sets COLLECT_API_ENDPOINT. The tag
pointed data-host-url at the app origin and the proxy listened only on
/api/send, so a renamed endpoint sent every page view and event to an
app path that does not exist and got a full 404 page back each time.
Point data-host-url at /api/monitoring/umami and answer every path under
it with one proxy route. The route reads the collect path from the
configured tracker (cached for an hour), forwards only that path to the
Umami host, and answers anything else, or an unreadable tracker, with an
empty response. The admin test event posts to the same learnt path. The
send-URL resolver lives in one module instead of two copies.
A sample the app wrote before the origin marker existed still carries the
HealthLog row id as HKExternalUUID. A hit on one of the account's rows of
the same kind now leaves it out exactly, for Withings and import mirrors as
well as manual ones; either id of a blood pressure pair covers both halves,
since the app stamps both samples of a reading with one id.
The manual-mirror lookup read one OR clause per row on every batch, even
for an account without a single MANUAL row. The types that hold MANUAL rows
are now read once per import; a batch asks nothing for any other type, and
one time window per type for those.
Cycle samples carry the marker too and are now left out like the rest, and
a sample the export repeats (a correlation's records also stand on their
own) is counted once.
The comment claimed the app's own sync filters by the marker. It does not:
the app's echo check is HKExternalUUID plus the sample's authoring source
being the app itself, and the marker exists for the deletion path, where
the source is not visible. Say so, and say why the export import reads the
marker and the row id instead.
The insights comparison snapshot took its current and baseline pulse figures
from a reading AVG, and the Coach's data inventory told the model a reading
mean of the whole pulse history. Both now read the mean of the user's local
days, each the mean of its hours' means, through the day-mean helper. Every
other type keeps its aggregate.
The feature extraction, the signals of the day, the status cards, the graded
series, the Coach snapshot, the mood correlations and the report's trend arrow
each still averaged pulse over its readings, so a dense workout hour decided
the day and a workout day the window. They now read a pulse day as the mean of
its hours' means and a window as the mean of its days, through the day-mean
helper. Counts, extremes and spreads stay over every reading; every other type
is unchanged.
The doctor report's pulse average and day points, the correlation channels,
the illness correlation, the personal baseline and the Coach's tiered context
each folded pulse readings into a day by plain mean. They now take the day as
the mean of its local hours' means and a window as the mean of its days, in
the zone each reader buckets by. The day aggregates carry the weighted sums for
an hourly-mean type, so every caller reads one day value. Every other type is
unchanged.
Marc-André Bombeck