A guardian with a fresh second factor mints a one-time handover link
(hlp_ token, HMAC hash stored only, 1/7/14 days, at most one open per
profile, withdrawable) with a proposed access level per guardian: end,
view only or manage, view only by default. The link is shown once with a
copy button and a QR code; nothing is mailed. The panel sits at the end
of each managed-profile row and hints when the person is under 16.
The person opens /claim/<token>, sees a minimal preview (name, expiry,
who keeps which access, no health data) and chooses a username, a
required email and a password under the registration policy. The claim
is one transaction under the managed-profile lock: the token is
consumed, the credentials are set, the marker is cleared, every pending
invitation the record offered is withdrawn, each guardian's access is
set to its proposal, the disclaimer, onboarding and AI consent are
reset, and every step is audited on the record and on each guardian's
own account. A failure anywhere leaves the profile managed and the link
unused. Each guardian is notified on their own channels.
The new owner then sees each guardian's access on the first screen after
signing in and decides finally; until then the proposal holds, and the
decision waits at the top of Shared access. A guardian whose access
moved since the claim is left alone. The same screen points the owner
at their own notification channels, since reminders no longer reach the
guardians.
Both anonymous routes refuse a single-sign-on-only instance, refuse a
live session before spending the per-address rate limit, check the link
before probing names, and answer one 404 for every unusable token. The
token travels in request bodies only; hlp_ joins the redaction and
secret-shape rules and /claim/ the path-secret registry. Usernames
starting with managed- are reserved. The session-surface and acting-
account guards list the new surfaces with their reasons.
Upload the ZIP the Android Health Connect app writes and import its
`health_connect_export.db` in the background, the same way an Apple
Health export is imported: streamed to disk with a SHA-256, capped at
1 GiB, one import per account, a job row of kind `health_connect` that
the shared reconcile cron and staging sweep now look up on its own
queue.
The worker extracts the database (4 GiB ceiling, zip-bomb checks) and
opens it read-only with `immutable=1`, `trusted_schema=OFF` and
`query_only`. A view in place of a record table refuses the file,
columns are found by name, and schema versions below 9 are refused.
Records are read in batches of 500 and aggregated in SQLite: steps,
energy and distance as one total per day from the app the person's
Health Connect priority list ranks first, heart rate per minute for 90
days and as hourly means before that, sleep stages with the unknown
stage counted only in sessions without real stages, workouts, cycle
days, water and micronutrients. Apps whose integration the account has
connected are left out, and a reading already stored under another
source is skipped. Rows carry source HEALTH_CONNECT, `hc:<uuid>` or the
`stats:` ids, so a second import of the same export writes nothing.
Both staged files are removed on every way out; the job result holds
counts per type and per app only. Settings gain a Health Connect card
with the export steps, progress and the outcome, in all seven
languages, and the import is documented in
docs/integrations/health-connect.md.
The nightly briefing warm completed every night and read "all-failed",
because one run event held every account's annotations and the last
account won. Each candidate now runs in its own wide event and the run
reports every outcome through `reportJobRun`, so ok, dead sign-in,
withheld and failed accounts show side by side.
A dead Codex refresh token threw a bare error with no status, so the chain
read it as a network failure: the health ledger recorded hard_failed, no
"reconnect" hint appeared, and every night tried the same token. The
refresh now throws `CodexRefreshError` with a 401 for a dead grant
(invalid_grant / invalid_refresh_token on a 400 included), as do a missing
or undecryptable stored credential. The ledger records auth_failed, the
chain marks the primary credential expired, and the nightly pass reports
the account as auth_failed without queuing a retry.
A briefing the outbound screen withheld (a causal claim) failed outright,
and the 45-minute provider retry then asked the same question eight times
a night. The generator now makes one bounded repair that names the broken
rule and keeps the repaired payload only if it passes the same parse,
grounding and screen; a withheld outcome queues no retry.
A provider that keeps failing is paused: from five consecutive hard
failures the skip window starts at 30 minutes and doubles per further
failure, capped at a day. A paused provider is walked last and tried again
when the window lifts; one success resumes it. The operator card shows how
many accounts it is paused for and until when. After a 5xx from a
non-canonical OpenAI-compatible endpoint the client asks the free model
listing, and a configured model the endpoint no longer offers is named in
the error, on the hop line and on the card.
Also:
- The tiered context's live day band read `measured_at AT TIME ZONE tz`,
which treats the stored UTC as local time; a far-from-UTC reader's
evening readings landed on the next day. It converts from UTC first now.
- Google Health intraday heart rate re-reads two hours per sync instead of
a day; daily summaries and sleep keep the day (#1023).
- The first filtered daily read that answers 400 and triggers the
snake_case retry is recorded as a note, not an error (#1023).
- The single derived-score read goes through the derived cache with
stale-while-revalidate, like the batch beside it.
The nightly folds soft-deleted every raw Apple Health sample they folded
into an hourly or daily stats row and kept it for 75 days. Nothing ever
read those rows as deletions; they only held a re-upload of the sample
off, and they were most of the measurements table and its indexes.
Ingest now refuses such a re-upload directly: a raw sample of a dense or
mean type, old enough to have been folded, whose hour or day a live
stats row covers, is a duplicate with reason folded_window. The batch
route and the Apple Health export import apply the same rule. With that
in place the dense retention and the daily-mean consolidation delete the
raw rows outright, and a new compaction-tombstone-purge job removes the
backlog: 5,000 rows a batch, one account at a time under the restore
lock, a short pause between batches, resumable because the predicate is
idempotent, queued at every boot and continuing itself while it makes
progress. A person's own deletions are never in its predicate. The sync
feed leaves compaction tombstones out and a restore does not write them
back; all three classify through the same function.
The batch route answers an exact re-sent sample without a transaction:
one read over the batch's sample ids, live or deleted, decides what the
reconciler would have decided, at the same point in the loop, so every
status, reason, counter and the cross-source merge stay as they were. A
batch of duplicates only no longer queues PR detection, a reminder sweep
or the detection audit row. Caches are evicted only for a foreground or
manual sync or a batch that wrote a hand-entered reading, and marked
stale otherwise; the targets cache follows the same split.
Also:
- POST /api/admin/maintenance/measurements queues VACUUM (ANALYZE) and a
REINDEX INDEX CONCURRENTLY per index, largest first, on a connection of
its own; it refuses while the purge runs, drops invalid leftover copies
and stops at the first failed rebuild. Runbook in docs/ops.
- The pure volume queues keep their finished jobs for 96 hours instead
of seven days, never less than the failure window plus a day.
- work_mem is set per app connection from DATABASE_WORK_MEM (16MB), also
when the statement timeout is disabled.
- The PR-detection fallback tick re-scans only accounts whose readings
or workouts changed since the previous tick.
- Type discovery for the status refill walks the live-rows index as a
loose index scan instead of grouping every live row.
- The host metrics chart polls every five minutes, like its sampler.
- The batch route records per-type HealthKit arrivals.
Land every file the v1.42 work shares before any of it is built, so the
parts built side by side never edit the same file.
Schema and migrations 0379-0386: the HEALTH_CONNECT measurement source,
ImportJob.kind, the air-quality columns and the per-user switch on the
environment tables, sealed environment locations with nullable plaintext,
managed-profile handover links, the per-type HealthKit arrival ledger, lab
unit-conversion provenance, and user-defined vaccines. Every new column is
annotated for the column-reader sweep.
HEALTH_CONNECT reaches every exhaustive list: the source labels, the
read enum (not the write allowlist), the source-priority ladder cap, now
the number of sources rather than a fixed eight, and the write-path smoke
test. RMSSD gets its own priority class and a 300 ms ceiling. The batch
syncTrigger gains `manual`, with its label on the Apple Health card.
Queues for the Health Connect import, the compaction-tombstone purge and
the measurement-table maintenance are registered with stub handlers;
host-metric sampling moves to every five minutes. Environment and work_mem
variables reach the compose whitelist, the production example and the
manifest. The proxy admits the handover link and redirects it at the edge,
and the Health Connect upload bypasses the proxy body limit.
The new routes answer 501 behind their final authentication and are
published in the contract; backup, wipe and key rotation classify the new
models and columns; the seven message bundles carry the base copy. Guards
that list release-pending keys and columns fail once an entry is wired, so
those lists empty themselves before the tag.
Also re-anchor a login-throttle fixture to the wall clock, where its
expiry is compared, and re-base the aggregate bundle cap on a measured
12 KB of new locale strings.
Own-plan turns get 165k tokens, 200 s and 16 rounds, operator turns 55k,
120 s and 8; the final-answer reserve, the concurrent-turn slot and the
step cap move with them.
Codex requests carry a per-conversation prompt_cache_key and a stable
session id, api.openai.com gets the same key, Anthropic usage counts
cache reads and writes in the gross, and local servers report cached
prompt tokens, so the turn budget discounts cached input on every
provider.
remember_fact and propose_plan wrote their rows during the tool round. An
answer that was then blocked, failed or abandoned left the fact in memory
without its note and Undo, and left the plan listed, activatable and fed
into later turns and the briefing. Both are now staged under an id minted
up front and written in the transaction that stores the assistant message,
only when its provenance carries them. A background proposal counts as
offered only once an answer carrying it is stored.
Plan text is model text: ifCue, thenAction and target pass the outbound
dose and risk screen in the person's locale, with their scheduled doses and
medication names, and the injection screen; a trip declines as "unsafe".
The trail route serves recalled facts and the proposal's fact to the owner
whatever the AI capability (only the model-written entries are gated), and
withholds medication facts while the medications module is off.
Accepting a fact proposal is decided under a per-message advisory lock, so
concurrent taps write one fact. Editing a fact re-reads its wording: text
naming a medication moves to "medication", other health wording moves a
non-health fact to "condition", and a health fact the person edited counts
as confirmed.
The usual-range strip on a metric page placed the latest single reading
against a band built from whole-day means. For glucose the day mean climbs
with every meal, so at nine in the morning a fasting reading sat under a
band of whole days and the strip said "below your range" on an ordinary
morning; the MCP baseline read reported the same.
Glucose is now placed by its day mean. A day still in progress, in the
reader's own zone, is held against the earlier days cut at the local time
of today's latest reading, the comparison the health status already makes;
with fewer than seven earlier days that have readings in those hours there
is no verdict. The baseline carries `basis: "sameHours"` on the coach-read
route and the MCP read, and the strip names the range as the one for this
time of day, in all seven locales. Other metrics keep their placement.
The chat route hands the turn the level resolveCoachTurnReasoningLevel
returns: the stored Coach preference, absent read as medium, after the
operator's switch and cap. The turn still applies the operator-paid
ceiling once its chain is known. The controls loader no longer throws
when the request cache cannot serve it; it fails closed to off. The
admin guard pins the route to the resolver.
Build the memory block for the providers the turn sends to, send it on
both paths, keep the facts it recalled in the owner's trail, and offer a
health fact the background found as the answer's one note. Every turn
enqueues the memory refresh; the job's debounce and singleton key decide
when it runs. A remembered fact points back to the stored user message.
GET /api/auth/me gains coachReasoning: the level a turn runs at, the
person's own pick, the highest level the settings may offer, whether
reasoning can run at all, whether the lowest option is a real off, and
the layer that decided. Resolved on the server so the web settings and
the native client read the same answer.
The web reads it through useCoachReasoning. The Coach preferences route
names the stored level on its wide event, and a unit test round-trips
the level through the account-settings backup section.
PUT /api/admin/settings/assistant-flags accepts aiReasoningEnabled and
aiReasoningMaxEffort (low, medium, high), writes them field by field
with an audit row like the other switches, and both methods echo them
as reasoning: { enabled, maxEffort }.
Unit tests for the turn budget and the no-progress brake, the budgeted
loop (every stop reason, the round-by-round ledger, repeated calls,
questions, comparisons, reasoning and provider state), the trail recorder
and its screen, clarifications through the tool and the brake, the
comparison table and chart, the trail column and its owner-only read, the
reply frames, and the turn's frames end to end through the route. An
integration test proves the trail against a real database. Eval
scenarios cover a multi-round why question, a period comparison with its
chart, a question asked through the tool, and keep the charts the
existing table scenarios already showed.
Take the effective reasoning level from the route rather than resolving
it in the turn; the turn only caps it when the operator pays.
Give the Coach one statement of how an answer is shaped, in the German and
English bodies and on every other locale: the first sentence answers, one
carrying number with its unit and window, the person's own baseline, an
assumption in one line, at most one next step and no habitual closing
question, 40 to 120 words, and a closed list of filler it never writes.
- Brief is 30 to 70 words in one paragraph, detailed up to 220 in three.
- Motivational-interviewing moves only when the person opens a change topic,
at most one, never as a closing question; the confidence ruler only on an
explicit plan request.
- The few-shot examples are rewritten to model the voice.
- Result tables: show the numbers whenever they carry the answer and span
more than one value, a table for exact values or up to twelve like rows,
one figure alone only for a moment.
- Follow-up chips are the answer's only "what next".
- A voice grader for the eval (length, filler, emoji, next steps, closing
question, warm-up opening) plugs into the golden set as criteria; five
voice cases in German and English.
- A guard holds both prompt bodies to the rules and every example answer to
the grader, each check broken once on purpose.
What a person told the Coach never reached a tool-mode turn: facts and plans
rode the snapshot's memory block, which tool mode does not send, and the
extraction ran only past twenty turns and failed to parse on every
non-Codex chain, because the status chain runs in JSON-object mode while the
prompt asked for a bare array.
- Memory block: WHAT YOU KNOW ABOUT THIS PERSON, built per turn behind the
wire egress check (nothing is read on a refusal), fenced as data, at most
1,500 characters, never trimmed before the inventory. Confirmed facts
first, then the newest; active plans with a server-computed progress line;
reminders the person asked for. Medication facts stay out while the
medications module is off. Building it stamps last_used_at without moving
updated_at. buildCoachToolRequest and buildCoachProviderPrompts take it as
an optional memoryBlock; the snapshot memory keeps only the narrative and
trend recall.
- remember_fact: preferences, goals and context are saved at once
(source coach, source_message_id set); anything that names a condition,
limitation or medication, by category or by wording, is only proposed.
A fact must come from the person's current message; one note per answer.
- The person's answer reads the proposed fact from the encrypted trail on
the assistant message, never from the request.
- propose_plan writes a proposed plan; the tap activates it with its review
window counted from the tap. One per answer, three open at most.
- Progress: one sentence per active plan from the person's own day series
and units, also offered to the briefing (two lines at most, behind the
briefing capability). The plan review and the progress line read a step
plan as daily totals instead of per-sample means.
- Background extraction asks for {"facts":[]} / {"plans":[]} and reads
either shape, runs once a conversation has been quiet for 30 minutes, and
stores health facts as proposals offered once at the next turn.
- Unanswered plan and fact proposals lapse after 14 days in the reminder
sweep.
- Memory list API: POST saves one of the caller's own messages (the
remember button), PATCH edits a fact's wording, GET reports source, origin
and last use and never lists a waiting proposal.
- A structural guard keeps the egress check ahead of every read and the
callers of both builders to the turn and the briefing.
Replace the fixed three tool rounds with a budget fixed by who pays:
120k tokens, 150 s and 12 rounds on the person's own plan, key or local
model, 40k, 90 s and 6 rounds when the operator pays. Cached input counts
at a tenth. The final answer is reserved from the start, so a turn whose
budget, clock or round cap runs out answers from what it read. A
no-progress brake stops a turn that repeats calls or reads nothing new,
and a repeated call is never run again.
The day's ledger is booked round by round: round one and the final
reserve when the turn starts, each further round right before it runs,
every round settled as it returns, the unused reserve given back at the
end. A round the daily ceiling refuses ends the turn with an answer.
Every phase goes out live as an activity frame (thinking, fetching,
summarising, asking, remembering, planning, the stop, the answer), with
screened reasoning titles and summaries; the structure rides the
provenance and the text is sealed in trail_encrypted, served by
GET /api/insights/chat/{id}/messages/{messageId}/trail. Tables go out as
interim results as soon as they are read.
Add ask_clarification with a server brake, remember_fact and
propose_plan over the memory contract, model-free decision turns,
compare_series with the compare chart, eight tables per message,
assumptions with change-assumption chips, a reasoning level per turn and
at most two concurrent turns per person.
Only the digest applied briefingForToday. The dashboard snapshot (the
web dashboard, its server prefetch and the iOS cold-launch read) and
the /insights advisor payload still served an earlier day's text and
the raw model deltas ("+33.72 bpm").
The snapshot read now resolves the briefing after the cache, beside
the capability decision, from the payload's generation moment and the
snapshot's own newest reading per type; a withheld briefing reads
"preparing", never "ready" with nothing in it. The digest takes the
resolved briefing from that read on its own clock instead of resolving
again. The advisor route resolves dailyBriefing on every branch it
returns, reading the newest reading per signal type in one grouped
query only when a reading-backed signal is present; text generated on
an earlier day no longer counts as fresh on the read GET (so the warm
is enqueued) and no longer short-circuits a provider-backed POST.
The OpenAPI descriptions of both advisor responses say so.
The check that keeps an earlier day's briefing off the Today surfaces
read the cache row's insightsCachedAt. Every warm moves that column,
including the unchanged-hash short-circuit that keeps yesterday's text
and only refreshes the stamp, so text written the day before passed as
today's after the nightly warm.
The cached payload now carries briefingGeneratedAt, written only where
new text is written: a full generation in the warm and in the
on-demand route, and the daily paragraph re-roll. The stamp refresh
leaves it untouched. briefingForToday reads that moment, and a payload
without it counts as not from today, so the hero falls back to its own
lead until the next generation.
A table the answer displays with a chart renders its own chart/table
toggle, and the "Show as a chart" / "Show as a table" chips under it
repeated that control. The server no longer derives a view chip for such
a table; a table the answer only used, folded under "Data used", still
gets "Show as a chart", since that brings it into the answer. A reuse
turn shows its table with the toggle and so offers no view chip either.
The rule is one predicate in a leaf module, applied where chips are
derived and where a stored reply is read back, so a reply stored before
the change offers the same chips as a new one on every client.
The muted line under the lead repeated what the lead had just said: a lead
about blood pressure sat above "Your latest blood pressure is sitting in
the optimal band · ↓ ~10 mmHg…". The web client only dropped the headline
when the lead quoted it word for word, and other clients had no rule at
all. The digest now carries `signalLine`, built next to the lead: when the
lead already talks about the top signal's metric (matched in every shipped
language) or says its headline, only the delta remains, and with no delta
there is no line. The hero renders the field verbatim.
The digest is polled every 120 seconds. Its cycle line read the whole
cycle history, 90 days of day logs and wrist temperature on every poll,
outside any cache, and the coincident-deviation engine walked its eleven
vitals one after another, two queries each.
The cycle read now rides the digest extras cell, which every cycle write
already hard-evicts; the cycle preferences route evicts it too, and a
module switch does through the health-score invalidator. A record without
a cycle profile stops after one point read. The per-vital reads run
together and are folded in registry order, so the result does not depend
on which finished first.
On a seeded four-year account (1.25M measurements, 52 cycles) under a
792 MB heap, the warm digest went from 9.9 to 5.0 ms and the vitals engine
from 11.1 to 4.6 ms (medians of four interleaved rounds).
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.
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.
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.
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.
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 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.
The systolic and diastolic reads each took the ladder's source per day on
their own. Whenever a source held only half of a reading on a day (a deleted
diastolic, an orphaned sample, a sub-floor systolic), the two picks diverged
and the pairing joined one source's systolic to another source's diastolic.
A sub-floor systolic could also claim a day and then contribute nothing,
leaving the day empty although a lower-ranked source had a valid reading.
The source is now picked per day from the systolic rows that pass the floor,
both halves are read from it in one statement, and a pair is only made
within one source, which also covers a reading that straddles midnight.
The dashboard summaries, the insights aggregate and the series stats strip
still took a plain mean over pulse readings for their 7-day, 30-day, prior-month
and all-time figures, while the year-ago figure and the chart already weighed
each day once, so the year delta compared two different statistics. They now
go through the day-mean helper: each day is the mean of its hours' means and a
window the mean of its days, in the frame each reader buckets its days by.
Count, min, max, the median and the spread stay over every reading; every other
type is unchanged.
The blood-pressure branch of /api/measurements/series still read systolic and
diastolic with an unranked findMany, so with a second provider the pairs blended
both sources and a reading present in both showed twice, while the other kinds
already follow the ladder since the dense and raw reads were moved onto the
shared helper.
Each of the two types now reads the ladder-winning source per day through the
same helper. The physiological floors (systolic 40, diastolic 20) and the
five-minute pairing are unchanged.
Reasoning models on Ollama and similar servers think by default and can
spend the whole max_tokens budget before the visible answer starts, so
the call comes back empty or times out. The Local and OpenAI-compatible
chain entries now carry an optional reasoning setting: Default sends
nothing, Off sends reasoning_effort "none", Low / Medium / High send
their own value. It is stored on the entry in aiProviderChain, so a
chain can mix a thinking model with one that does not know the field.
- Every exported resolver binds the entry's value onto the client, the
connection test included, keyed on the instance type so the operator
provider, OpenAI, Anthropic and Codex never carry it.
- PATCH /api/user/ai-provider accepts localReasoningEffort and
compatReasoningEffort and GET reports them. A provider absent from
the chain holds its value on a disabled entry; restating Default on a
chain that was never customised writes nothing.
- PUT /api/insights/provider-chain accepts reasoningEffort on local and
openai-compatible entries, refuses it on any other, and keeps the
stored value when the body leaves it out. Its schema is now shared
with the OpenAPI registry.
- A Default request body is byte-identical to the one sent before.
Refs #1126
A watch samples pulse about every 5 to 10 minutes at rest and about every
5 seconds in a workout. The daily value was the plain mean over a day's
readings, so a workout hour of several hundred readings outweighed the other
23 hours: a day with one hard hour and 23 resting hours (60 bpm) read about
128 bpm, not 64.
A day of pulse is now the mean of its per-hour means, in the rollup DAY
bucket, the live per-day read the chart serves, and the series route's day
grain. Windows over several days weigh each day once instead of by its
reading count, so the bias does not return one level up. Reading counts,
min/max, and the regression sums still run over every reading. The chart
tooltip and the data table name the statistic, in all seven locales.
The statistic is limited to pulse; HRV, SpO2 and glucose keep the plain mean
(see src/lib/measurements/day-statistic.ts). Stored DAY rows are rewritten by
the next rollup recompute (admin recompute route), not on read.
Fixes#1107
The replay cell was keyed on (user, key, method, path). A client that sends
two different writes under one key got the first write's cached response for
the second, and the second was never saved. Native clients up to 1.1.0 post
the two halves of a manual blood pressure exactly that way, so the diastolic
value was silently dropped.
Each cell now stores a SHA-256 fingerprint of the request body (JSON with
recursively sorted keys, otherwise the raw bytes; scoped by method and path;
at most the first MiB is read). Lookup replays, or refuses as in flight, only
when the fingerprint matches. A different body, or a row written before the
column existed, runs the handler without claiming or caching and leaves the
existing cell for its own retries; a lost claim race re-checks the winner's
fingerprint the same way. The body itself is never stored.
Migration 0371 adds the nullable idempotency_keys.request_fingerprint column.
The OpenAPI parameter description, the client notes and the Home Assistant
guide say what a replay now requires. docs/ops gains a read-only query that
lists systolic readings left without their diastolic half, held to the
schema by an integration test.
Marc-André Bombeck