The snapshot gains the day's two readings with the age of the second
one, through the same reader the page uses, so the page and the
assistant cannot disagree about what today's comparison is. The
freshness rule is the shared one: a comparison about the day before
yesterday carries the date it is about and an instruction not to state
it as today. Absence is a present field rather than a missing key —
a model told "there is none yet" says so, and a model told nothing
estimates one. The wording rule travels with the values, because a model
handed a number and no instruction writes the sentence its training
suggests, and about a forecast that sentence is a causal one.
The contract publishes the resolved value: the expected figure, the
band, the count, the deviation against the band, the age, and the
contributions that carried weight. Nothing is left for a client to
re-derive — two clients deriving the same figure about somebody's health
record is how they start disagreeing about it. The description carries
the observational wording and the display rule: the count goes wherever
the value goes.
The end-to-end proof runs against real Postgres and reads the table
rather than a return value: nothing written a day short of the
threshold, a banded and counted row on the day it crosses, the
provisional label dropped at sixty days, the rows cleared when the
module goes off, the rows cleared when entries are deleted back below
the threshold, and an older pass's row replaced rather than left beside
a fresh one. A delegate holding only the mind section is refused, and
the assertion is on the response bytes.
Two readings, side by side, never merged. The person's own rating leads
— larger, first, and returned exactly as it was stored — and the
comparison sits beside it with its range and the number of days it was
built from. The deviation is measured against the range, not against its
midpoint: inside it is a day that went as the account's own past days
suggest, and only outside it is worth a sentence.
The sentence is a counterfactual and says so. Never "your mood is 5.4",
always "a value around 5.4 would have been expected". The explanation
names what the comparison weighted for that day, out of what the job
stored for that day, in the words the capture sheet already uses — a
person reads "Workload" here because that is what the slider they moved
was called.
The route declares the whole record rather than the mind section, and
the reason is written at the declaration: the comparison reads the day's
context AND the figures the sleep, activity and recovery modules hold,
and it names them, so a delegate holding only the mind section would
receive a derived view of sections the owner declined to share. A scoped
grant is refused outright rather than served a contribution list with
the linked features quietly removed, which would read as "only the mood
fields mattered" and be false.
The causal-verb ban is a test now rather than a review habit: the copy
guard reads all six bundles and fails on a causal construction in any of
them, and on a statement that quotes a value without the days behind it.
Both halves were watched failing.
A job, never a route. A forecast written as a side effect of opening a
page is a function of browsing rather than of data, and the prognosis
also has to be a value the person cannot overwrite — so one file writes
the table and a guard holds it there.
The cohort is the union of two sets and the second one carries the
weight: accounts with enough recent rated days, plus every account that
already holds rows. Without the second, an account that deleted its
entries would fall out of the sweep and keep last month's answer under a
fresh-looking date, with nothing on the surface to say so.
A pass replaces rather than accumulates. Every account it touches ends
holding exactly the rows that run wrote, or none: below the threshold,
module off, no pattern in the data, no recent day carrying everything
the fit needs — every one of those clears what was there. Per-account
failures are counted and the pass continues; only an all-accounts
failure fails the job.
Runs at 04:35, after the inputs have settled and clear of the geo
backfill on the hour's fortieth minute. The arithmetic is a ridge
regression and nothing else: no provider, no key, no egress, no consent
gate, and the module says so at the top so nobody wires one that does
not apply or assumes one that is not there.
The target is the day's own pleasantness; the inputs are the other four
self-ratings, the numbers and closed vocabularies of the day's context,
and the figures the sleep, activity and recovery modules already hold.
Nothing is imputed. A day missing one of the selected inputs is a day
the fit does not see, and a feature nobody recorded on most days never
becomes a column in the first place — the coverage floor is what keeps
the complete-case rule from quietly emptying the matrix. A day with no
context row contributes no work-status column at all, rather than a zero
that would read as "worked a regular day".
Columns are standardised against the account's own window, so a person
whose stress never passes six does not have six read as the maximum.
Candidates are screened with the machinery the rest of the product
already runs — Pearson at the shared paired floor, Benjamini-Hochberg at
the shared FDR, the shared effect-size floor on the shrunk estimate —
because a sweep over sixty features at raw p < 0.05 finds three things
that are not there.
The fit is a ridge solved in closed form, validated on expanding windows
in date order. The training range ends exactly where the validation
range starts, asserted on the fold indices and on the day keys, not on
the resulting error: a leaking split passes an error check whenever the
leak is small, which is when nobody looks. The band is the central 80%
of the validation residuals, so it widens when the model is bad instead
of staying confidently narrow.
The window read is the linked resolver's own engine, extended to answer
many days in one query rather than growing a second opinion about what a
Tuesday looked like.
Five rungs — nothing at all below fifteen entries, descriptive hints to
thirty, a provisional forecast to sixty, a plain one to ninety, weekday
and seasonal comparisons above it — plus the occurrence floor a value
must clear before it may be named at all.
Every floor is an exported constant and every one has a test on both
sides of its own boundary, because the failure here is invisible: a
forecast built from eight days renders exactly like one built from
eighty, and nobody reading the screen can tell. Each assertion names the
threshold it is about, so a red says which floor moved.
Absence carries its reason and the count rather than being a bare false,
so a surface can say how far along the account is instead of showing an
error. Two numbers are deliberately not minted here: the paired-value
floor stays `MIN_PAIRED_N` in the correlations module, and the
occurrence floor is the crosstab's own, taken by assignment. A test
reads the file back and fails if either turns into a local copy.
`MoodPrediction` holds the expected value of a day beside the day's own
rating: one row per account per local day, with a band and the number of
days the fit used. Two tables rather than four columns on the entry,
because the point of the second value is that the person cannot correct
it into agreement with the first — the distance between them is the
finding, and a value the edit form can write is not a second reading.
The table stays out of the disaster-recovery backup and the reason is
written where the completeness guard reads it: every row is recomputable
from the entries, the contexts and the linked modules, and carrying one
would restore a forecast made by a model version that may no longer
exist against data the restore has just moved. It is in the wipe plan,
because a derived row is still a day-by-day statement about somebody.
The write-surface guard lands red on purpose and names what is missing:
`lib/jobs/mood-prognosis-refresh.ts` does not exist yet, so the writer
set is empty where it should hold exactly that one file. The job closes
it. The rest of the guard is green now — no route, page or component
writes the table, and the matcher proves itself against a call broken
across lines, an aliased client, a read and a different model.
The six per-section type aliases and the inverse-orientation list had
no consumer; the schemas read the key arrays directly and the workLoad
orientation is stated where the rating fields are declared.
The resolver hand-wrote the map and got it wrong in both directions. It gated
steps and active energy on `workouts`, which gates workout SESSIONS and not
ambient movement, so the mood sheet hid a figure every other surface shows. It
called resting heart rate and heart-rate variability core with no owner, while
the table has assigned both to `recovery` since v1.30.22 — including the RMSSD
fallback, pinned there so a ring-only account cannot reach through it. An
account with recovery switched off was served the domain it had switched off,
which made the release note's own promise false.
Both directions now resolve through `moduleForMeasurementType()`, the table the
MCP wire, the correlations reader and the Coach snapshot already share.
Steps, active energy and the two vitals also run through the canonical-source
picker now. Without it a phone and a watch reporting the same day summed twice
and the sheet showed a walk nobody took; the vitals answered whichever row was
latest rather than the picked stream's.
A guard pins the three ownership claims, including that the two vitals share
one module — the block carries one availability flag for the pair, so the day
they diverge that flag becomes a lie and the block has to be split first.
Two requests can probe the same workout, both find no heart-rate series,
and both mean to attach one. The unique index on `workout_id` picks a
winner; the loser has to report the duplicate it turned out to be rather
than claim an attach the database never made. Nothing could catch that
arm going wrong: the unit fake echoes every row back as landed, and the
race suite carries no series at all, so replacing the status with a
constant `enriched` left the whole suite green. Two concurrent posts of
the same enrichment now assert one `enriched` against one `duplicate`
and a single stored series.
The published contract also says now what the counters mean, instead of
leaving it in a comment: an entry reported as `enriched` counts towards
`duplicates`, because the top-level counters count workout rows and an
enrichment writes none. Field descriptions on the response and on the
per-entry status and reason, OpenAPI regenerated.
A batch entry matching a stored workout stays first-write-wins for the
workout row. What it can do now is hand over a heart-rate series the
stored workout does not have yet: the series is attached, the row itself
is not written at all, and the entry reports back as `enriched`. A
workout that already carries a series is a no-op, so a client can walk
its whole history as often as it likes.
- The pre-flight probe now answers both questions at once, whether the
row exists and whether it already has a series, and carries the id so
the attach addresses the stored workout without a second round trip.
- The attach rides the same child write as a fresh workout's series.
RETURNING names the rows that landed, so a workout that gained a
series between probe and write reports as the duplicate it is instead
of claiming an attach that never happened.
- A `samples` array that fails validation is refused per entry with
`reason: "invalid_samples"` rather than failing the batch. One
unusable session out of a hundred must not stall a history sweep the
client cannot repair by retrying; every other validation failure keeps
failing the batch.
- The wide event and the audit row tally enrichments. Counts only, the
series never reaches either.
- `enriched` is the one contract movement: additive on the per-entry
status, request shape unchanged. OpenAPI regenerated.
Integration coverage against a real Postgres pins the attach, the
repeat as a no-op, the refusal of a bad series alongside entries that
land, a mixed batch reporting each status, and the stored workout row
compared whole before and after, `updated_at` included.
- the wipe plan names it before its parent, so the confirmation screen's count
is the number of rows that existed rather than zero
- the backup plan classifies it as carried and two-ended, and the round-trip
registry seeds one, which is what makes that claim provable
- the sharing surface admits the linked-day read with the reason it may answer
- CHANGELOG for the release
- /api/sync/changes carries a1 to a5 and the day context under the same keys
the write path accepts, so a client reads back exactly what it can post
- BulkMoodEntry accepts both, all optional; a1 stays server-derived from the
five-point label, so a build that sends only a label still writes a complete
row and needs no change to stay correct
- the batch parses each entry's context on its own: one row carrying a value
the vocabulary does not name is skipped and the rest of the batch lands
- docs/api/openapi.yaml regenerated alongside
- one comparison per context value, reusing the Welch test, the day floors and
the Benjamini-Hochberg family the tag board already runs; a wide sweep
filtered on a raw p < 0.05 would surface one-in-twenty noise as a finding
- two entries on one day count as one day
- every statement names how many days it compared, on the same surface as the
claim, and says it shows a connection rather than a cause
- the assistant snapshot carries the same rows with that constraint written
out beside them
- one resolver reads the day's figures from the modules that own them; nothing
is copied onto the mood row, so correcting a sleep session corrects it here
in the same moment
- absence answers { present: false } rather than zero, because a night nobody
recorded and a night of no sleep are different facts
- a module switched off blanks its whole block instead of filtering down to an
empty one
- keyed by the local day so the capture sheet can ask before an entry exists
- the completeness guard now binds a third model, MoodContext, to a named
select; the four omitted columns each carry the reason the backup is right
to drop them
- the disaster-recovery arm carries the ciphertext, the portable arm the plain
text, and every other column rides in both
- the restore rebuilds the context after its entry, inside the same
transaction, and a file written before contexts existed restores without one
- the round trip asserts the restored row by value, zero included
- moodContextSchema derives every enum from the vocabulary, so a value it does
not name answers 422 through returnAllZodIssues rather than being dropped
- the context is written in the same transaction as the entry and its links; a
failure rolls the entry back rather than leaving a client retrying a 5xx
into a duplicate
- an entry with nothing filled in stores no row, and a context that says
nothing removes the one that was there
- the create, list, detail and edit reads answer the context with its lists
decoded and its note decrypted; the ciphertext never leaves the server
- one module holds the four sections, their key lists and the rating fields;
the Zod enums, the capture UI and the analytics all read it, so a value the
vocabulary does not name cannot be stored
- labels state facts, never judgements, and the contact circles are groups of
people rather than a score
- a pair guard binds the arrays to all six bundles in both directions, because
the reverse-coverage matcher sees a `mood.context.` template and stops being
able to tell a live label from a stale one
- migration 0311 creates mood_contexts, keyed by the entry, cascading from
both the entry and the owner
- work, contacts, leisure and one notable event; every field nullable, and an
entry with nothing filled in gets no row at all
- notes_encrypted registered in ENCRYPTED_COLUMNS and in the rotation script,
so a key rotation cannot strand it
The dead-code sweep found the window type exported and unread. It was
unread because the surface that offers the choice carried its own copy
of the same three numbers: the chart could not import the calculator's,
since that module reaches the database client two hops down and a client
component pulling it in would ship Prisma to the browser.
Both now come from the dimension table, which is pure by construction
and which the chart already imported. One declaration of 7 / 30 / 90,
read by the calculator that averages over them and by the control that
offers them, so the two cannot drift.
Three small things the audit named together.
The mood reads spread the whole row, so adding the wire keys shipped
every level-A value twice — once as the column name and once as the key
the write path accepts. A client would have picked one and been stuck
with it. The column spelling is stripped now, and the create response's
key set is asserted so it stays stripped. The published contract is
unaffected either way; these routes are not in it.
The dimension series carried its own copy of the day-key subtraction
that the freshness module already exports. One copy now.
And the reason a stale dimension ships with a notice instead of being
dropped the way the status surfaces drop one is written at the builder:
a one-line card has nothing left to say about a value it cannot narrate,
while an open conversation can say when the value is from — and silence
there would leave no way to tell an unanswered dimension from one nobody
has looked at in a week.
The snapshot stamps every metric block with an asOf built from the
newest reading in it, which for mood is the newest ENTRY on the 1-5
axis. Somebody who taps a face each morning and opens the sliders once
a week therefore carries a block stamped as current and a stress
reading six days old, and a reader taking the block stamp as covering
the dimensions states last week's answer as today's.
The block now names the precedence in one line beside the dimensions,
and each dimension keeps its own age. Present only when there are
dimensions to explain.
The single create's upsert restated all five columns on its update arm,
so a client re-posting an entry with only a label and a timestamp — the
phone, whose build has no sliders — cleared the stress, energy,
connectedness and stability somebody had answered on the web. The batch
and import paths already preserved them, so the two disagreed.
One answer now, and it is preserve: absence in a request means nothing
to say, an explicit null takes an answer back, and pleasantness still
follows the label because the request always carries one. The create
schema accepts the null that makes clearing expressible.
A re-post that omits a dimension is asserted to leave it standing, and
that assertion has been watched to fail against the old arm.
The inverse flag is read by the trend legend and by the assistant block;
the function that flips a value through it had no caller. It comes back
with the surface that needs a combined view, not before.
The pillar reads PHQ-9, GAD-7 and WHO-5 and cites the papers behind
every threshold. A daily self-rated slider is now available on nearly
every mood row, so leaving it out reads as an omission unless the
reason is written down: the two are different kinds of evidence, and
averaging them would weaken the line that makes the figure worth
showing to a doctor. Recorded at the pillar and at the columns.
- the level-A blocks ride the mood aggregate the coach and the briefing
already share, so the ages are fixed once in the data preparation
rather than once per sentence
- every block carries its newest value, the day it belongs to, how old
it is and whether that age still backs a present-tense claim, through
the same freshness rule the vitals surfaces use
- a stale dimension carries the instruction in words as well as in a
flag, because that is the sentence this exists to prevent
- the 1-5 scale line is untouched; the new axis describes itself, with
the anchors resolved from the bundle the person read
- the trend page and the assistant run the same calculator, so a number
in a sentence cannot disagree with the number on the chart
- one engine: the dimension series is a sibling calculator of the mood
aggregate hub and rides the same bounded read, so no second summary of
mood can disagree with the first
- 7 / 30 / 90-day means per dimension, plus the daily series behind them
- a dimension nobody answered is named as not recorded rather than drawn
flat through the middle of the scale, and a zero counts as an answer
- each line keeps the orientation the person answered in; the legend
says which way the inverse one runs
- the card rides the existing module-gated aggregate read and query key
- the backup select and the payload carry all five, on both the portable
and the disaster-recovery arm
- the restore writes what the file holds and nothing else: a file from
before these columns restores them empty rather than deriving them
- the CSV appends them after the existing columns so nothing shifts under
a spreadsheet, and an unanswered value is an empty cell rather than a
zero, which is a real answer on this scale
- the round trip asserts each of the five by value, including a zero
The resolver queried the online provider first and read the mounted
GeoLite2 databases only when that missed. Every document describing the
feature said the opposite, including the self-hosting runbook and the
admin notification that tells an operator their login IPs are leaving
the server. So an operator who mounted the databases in order to stop
that egress kept all of it, and nothing said so: the location resolved,
the admin overview filled in, and the only difference was where the
address had been.
Now the local databases answer and the provider only ever sees an
address they could not place. A host with the City database mounted and
a hit makes no request at all — including when the ASN database is
absent, because reaching out for a carrier string would send the address
off the host anyway, which is the thing the mount was for.
IP_GEO_LOOKUP_DISABLED=1 remains the full off-switch: it disables the
online step only, so an offline hit still resolves and an offline miss
returns nothing rather than going online.
The wide-event warning on the fallback path named ipwho.is even when the
operator had pointed IP_GEO_LOOKUP_URL somewhere else; it now names the
host the runtime actually queries. The admin notification copy needed no
change — it fires only when the databases are absent, and then every
lookup does go online.
The two cases in geo-asn.test.ts that pinned the old order are the
watched red for this change.
The admin "Delete all data" action carried its delete list inline. That
list named nine tables, which was most of the schema on the day it was
written, and it stayed at nine while the schema grew to a hundred and
twenty-two models. Laboratory results, documents, cycle logs, journals,
mood, workouts, sleep and Coach conversations all survived the wipe an
operator runs before handing a box on, and the toast said it was done.
The per-account wipe had the same defect and grew a derived plan for it.
The admin route now reads that plan: ADMIN_WIPE_MODELS is WIPE_MODELS
minus a single documented subtraction, so a model added to the schema
lands in both wipes at once.
- AccountGrant is the one difference, with its reason in the plan: it is
the only access path to a managed profile, and this action preserves
accounts by definition. Deleting every grant would leave records
nobody can open, administer or delete.
- The audit history now goes with everything else. It is a record of who
did what from where, which is exactly what clearing a box is for; the
receipt written after the transaction commits replaces it.
- One transaction with the same budget as the account wipe. A
half-applied wipe is worse than none, because the person is told it
succeeded either way.
- The result line reports rows and tables instead of nine fixed names,
which is how nobody noticed: it read the same whether the wipe had
cleared nine tables or ninety.
Guards, both watched red before landing:
admin-data-wipe-completeness.test.ts fails when a user-scoped model
reaches neither the wipe nor a written exemption, and when the route
names a table inline again. The integration guard seeds every table in
the schema for two accounts, runs the route, and asks the database what
is left — drop one model from the plan and it names the surviving table.
- one helper resolves the level-A values for a write; the five writers
call it instead of carrying their own copy of the derivation
- the create schema takes a1 to a5, and a value the user set wins over
the derived one; the batch request shape is untouched
- both arms of both upserts restate the values, so a re-post cannot
leave a stale reading beside a mood that has since changed
- the JSON import derives from the row's own label rather than the
file's score, which is the one place the two can disagree
- correcting an entry's label re-derives pleasantness the way it
re-derives the score; an explicit null takes an answer back
- a round trip through all five writers against real Postgres asserts
the rows agree and that nothing invents the other four values
- MOOD_DIMENSIONS carries the five self-state dimensions in capture order,
each with its column, its label and anchor keys, its orientation and its
0-10 bounds
- getA1ForMood maps the five-point label onto the pleasantness scale once,
so the quick check-in stays a full-value capture path
- only stress is inverse-oriented, and a test pins that count
- the secret scan reads a dotted message key on a *Key field as a token;
allowlist the dimension keys the way the existing message keys are
Every interactive path, every import, MCP and Telegram checked an incoming
measurement against VALUE_RANGES before storing it. The provider sync writers
did not, so a decode slip or a glitched sensor landed a row the application
itself calls impossible, and every mean, median and personal band derived from
it inherited the impossibility. Filtering the read side hid the row. It kept
landing.
The gate is one module reading the domain the app already declares, applied at
two kinds of seam. reconcileExternalMeasurement is the shared identity writer
for Polar, Oura, WHOOP, the Withings sleep leg, the Apple export importer and
the batch endpoint, so gating there means a provider added later inherits the
refusal rather than having to remember a check it never knew about; the new
rejected_range verdict carries no row, which is what makes the compiler force
every caller to handle it. The five writers that hold Prisma themselves gate at
their entry, before the existence probe decides insert versus overwrite, so an
impossible reading can no longer replace a good stored value.
An out-of-band value is dropped. Not clamped, because a clamp invents a reading
nobody took. Not stored behind a flag, because a quarantined row is still a row
and every consumer would have to learn the flag. Not fatal to the batch, because
one bad sample must not strand the run's other readings behind a held watermark.
Absence reads as absence.
A silent drop, though, is indistinguishable from a provider that sent nothing,
so every drop is tallied on the wide event under measurement.range_rejected with
the metric, the provider and the edge it broke. Counts only: the reading itself
is health data and never enters the log line, and the direction plus the
metric's own declared bound is what a diagnosis actually needs. The tally
accumulates rather than replacing, because a provider gates once per resource
leg and the reconciler once per row. One warning per provider lifts the event to
warn so a drop does not hide inside a green line.
A structural guard enumerates all twenty measurement writers with the reason
each is allowed to write, so a new one has to answer the question before it
ships. scripts/diagnose-implausible-measurements.ts reports the rows already
stored, aggregated per metric and source with no value beyond the bucket's own
extremes. It repairs nothing: whether a stored impossible row is a decode slip
or a band that is too narrow is not a call a script gets to make.
A lab runs its own method on its own device, so the window a physician
evaluates a value against is the one printed next to it on that report,
not a catalog band averaged over every lab. Reading a report pulled the
value and dropped that range: the extraction asked for it, the commit
handed it to the biomarker resolver, and the resolver only uses it when
it mints a NEW marker. For every analyte the user already had — the
normal case after a first panel — the printed range was read and then
thrown away.
Add `sourceReferenceLow` / `sourceReferenceHigh` / `sourceReferenceText`
to `LabResult` and carry the range from the report to the reading. The
text is stored whether or not numbers can be read out of it, because
"bis 5,0" and "negativ" state a window too; a range that could not be
parsed is kept verbatim, never replaced with invented bounds.
`resolveEffectiveReferenceRange` is the one place the precedence lives:
the source window wins for that single reading, and the catalog stays
the net for readings without one. A printed string with no derivable
bound does not displace the catalog. Every surface that judges a
reading routes through it — the API verdict, the doctor report, the
insights blocks and per-marker assessment, the coach snapshot, the MCP
read and the FHIR `referenceRange` — so a value cannot read in range on
one surface and out on another.
The API keeps `referenceLow` / `referenceHigh` as the window in force,
so a client that reads only those two renders the right range and the
right verdict with no change of its own; the catalog band, the source
window, its origin and a divergence flag ride alongside for clients
that want to show both.
Read side: the chart draws the source window as a second, visually
distinct band with the reading it came from named beneath it, the
reading rows name the printed range and the catalog band where the two
disagree, and the doctor-report PDF prints the report's own string with
a footnote naming the saved range. Entry side: one optional field on
the lab form, folded away until asked for, and the printed range is
editable on the scan review screen.
The range parser covers the notations German and English reports
actually print — two-sided, one-sided, comma or dot decimals, thousands
separators, trailing units — reads units without ever converting them,
and refuses to guess on anything ambiguous.
`moodEntrySchema` gains `note`, `noteEncrypted`, `tz`, `syncedAt`,
`syncVersion`, `createdAt`, `updatedAt` and `structuredTags`; every one of
them optional or defaulted, so a backup file written before this parses
unchanged and restores exactly as it did.
The restore writes them. The note follows the measurement pair: ciphertext
verbatim when the file carries it, a portable file's plaintext re-encrypted
on the way in, legacy column null either way. `tz` absent still means the
legacy Europe/Berlin reading, which is what those rows meant. `syncVersion`
comes back at the value the file recorded — restoring at the default handed
the next round to any paired device holding a higher number, and the device
would then overwrite the recovered entry with what it had.
The link rebuild re-creates both arms: rated factors from `factors`, ticked
tags from `structuredTags` with a NULL rating. An unresolvable tag key is
reported under its own `moodTag` family, beside the rated one, because an
operator needs to know which of the two an entry lost.
The disaster-recovery payload dropped the free-text note, the row's
timezone and the last-writer-wins counter, and the tag-link read filtered
`rating: { not: null }` — which is the definition of a BINARY link, so
every present/absent tag a person picked was missing from the file too.
Both arms now mirror the measurement pair: the recovery arm carries the
note ciphertext verbatim plus `tz`, `syncedAt`, `syncVersion`, `createdAt`
and `updatedAt`; the portable arm carries the decrypted note, `tz` and no
ciphertext.
BINARY keys ride in their own `structuredTags` array rather than as a
nullable rating inside `factors`, because a restore resolves `factors`
against RATED tags and names what it cannot resolve — a rating-less entry
there would collide with both. Absent means empty, so a file written
before this parses and restores exactly as it did.
The two link arms partition the links exhaustively: a malformed link comes
back named as unresolvable instead of falling between them.
The mood read was an inline `include`, so nothing could compare it to the
model the way `measurement-backup-completeness.test.ts` compares the
measurement select. Name it — `MOOD_ENTRY_BACKUP_SELECT` and
`MOOD_ENTRY_TAG_LINK_SELECT` — and add the sibling guard that binds both
to `prisma/schema.prisma`.
The mapper's parameter is spelled `moodEntry` rather than `e` because the
guard proves a column reaches a payload by matching `: moodEntry.`, and `e`
is also the intake-event mapper's parameter one section above: a matcher on
`: e.` would match across both and could never fail.
The guard is red as it stands, and names the defect: `note`,
`noteEncrypted`, `tz`, `syncedAt`, `syncVersion`, `createdAt` and
`updatedAt` are selected and written to no payload. The fix follows.
`hasEntryUnitConversion` and `canonicalValueToEntry` shipped beside the
hours-to-minutes conversion for an editing surface that does not exist and has
no ticket. Neither has a caller, so both were only two more things to keep
true, and the dead-code gate is right to say so.
The module comment claimed the inverse was there so a future surface could not
land on a different answer. It says what is actually true now: one direction,
one place. The git history keeps the rest if that surface ever arrives.
Marc-André Bombeck